{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Understanding LightCurveFile Objects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learning Goals\n",
    "\n",
    "In our [LightCurve Object tutorial](LightCurve-objects.html) we looked at how to obtain an object of interests lightcurve from its `TargetPixelFile` (TPF; see our [TargetPixelFile tutorial](Target-Pixel-Files.html)) using Simple Aperture Photometry (SAP). \n",
    "\n",
    "\n",
    "In this tutorial we will demonstrate the difference between a [`TESSLightCurve`](https://docs.lightkurve.org/api/lightkurve.lightcurve.TessLightCurve.html?highlight=tesslightcurve) and a [`TESSLightCurveFile`](https://docs.lightkurve.org/api/lightkurve.lightcurvefile.TessLightCurveFile.html?highlight=tesslightcurvefiles), and will cover the following,\n",
    "- What is a `LightCurveFile`.\n",
    "- What is Pre-search Data Conditioning SAP flux (PSDCSAP).\n",
    "- How can we examine its `metadata`.\n",
    "- How we use it to create and examine an objects lightcurve."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What is a LightCurveFile object?\n",
    "\n",
    "Rather than being generated via a TPF, `TESSLightCurveFile` objects have been pre-generated using NASA's [Data Processing Pipeline](https://heasarc.gsfc.nasa.gov/docs/tess/docs/jenkinsSPIE2016-copyright.pdf).\n",
    "Usually, you will access these files through the [MAST archive](https://archive.stsci.edu/kepler/data_search/search.php). \n",
    "\n",
    "## What is Pre-search Data Conditioning SAP flux?\n",
    "`TESSLightCurveFile` objects have some level of processing (more details [here](https://arxiv.org/pdf/1207.3093.pdf)) and allow you to access the two kinds of flux; the Simple Aperture Photometry flux (SAP) flux as discussed in the [LightCurve Objects tutorial](LightCurve-objects.html), and the Pre-search Data Conditioning SAP flux (PDCSAP) flux. With PDCSAP flux long term trends have been removed from the data using so-called Co-trending Basis Vectors (CBVs). PDCSAP flux is usually cleaner data than the SAP flux and will have fewer systematic trends."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports\n",
    "This tutorial requires that you import lightkurve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline \n",
    "import lightkurve as lk"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining Terms\n",
    "\n",
    "- Target Pixel File (TPF): A file containing the original CCD pixel observations from which light curves are extracted. \n",
    "\n",
    "- LightCurve Object: Obtained from a TPF and contains lightcurve information derived using simple aperture photometry.\n",
    "\n",
    "- LightCurveFile Object: Obtained from MAST and contains both SAP flux and PSDCSAP flux.\n",
    "\n",
    "- Cadence: The rate at which TESS photometric observations are stored. \n",
    "\n",
    "- Sector: One of TESS's 27 (to date) observing periods, approximately ~27 days in duration.\n",
    "\n",
    "- Simple Aperture Photometry (SAP):  The act of summing all pixel values in a pre-defined aperture as a function of time.\n",
    "\n",
    "-  Pre-search Data Conditioning SAP flux (PDCSAP) flux : SAP flux from which long term trends have been removed using so-called Co-trending Basis Vectors (CBVs). PDCSAP flux is usually cleaner data than the SAP flux and will have fewer systematic trends."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading the Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can read in a light curve file from the TESS mission using [`TESSLightCurveFile`](https://docs.lightkurve.org/api/lightkurve.lightcurvefile.TessLightCurveFile.html?highlight=esslightcurvefile). We can use the [`search_lightcurve()`](https://docs.lightkurve.org/api/lightkurve.search.search_lightcurvefile.html#lightkurve.search.search_lightcurvefile) function to fetch the files from the data archive.\n",
    "\n",
    "To demonstrate, lets use the [L 98-59 System](https://arxiv.org/pdf/1903.08017.pdf) again, focusing on  planet c."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "SearchResult containing 7 data products.\n",
       "\n",
       "<table id=\"table140728767307616\">\n",
       "<thead><tr><th>#</th><th>observation</th><th>author</th><th>target_name</th><th>productFilename</th><th>distance</th></tr></thead>\n",
       "<tr><td>0</td><td>TESS Sector 2</td><td>SPOC</td><td>307210830</td><td>tess2018234235059-s0002-0000000307210830-0121-s_lc.fits</td><td>0.0</td></tr>\n",
       "<tr><td>1</td><td>TESS Sector 5</td><td>SPOC</td><td>307210830</td><td>tess2018319095959-s0005-0000000307210830-0125-s_lc.fits</td><td>0.0</td></tr>\n",
       "<tr><td>2</td><td>TESS Sector 8</td><td>SPOC</td><td>307210830</td><td>tess2019032160000-s0008-0000000307210830-0136-s_lc.fits</td><td>0.0</td></tr>\n",
       "<tr><td>3</td><td>TESS Sector 9</td><td>SPOC</td><td>307210830</td><td>tess2019058134432-s0009-0000000307210830-0139-s_lc.fits</td><td>0.0</td></tr>\n",
       "<tr><td>4</td><td>TESS Sector 10</td><td>SPOC</td><td>307210830</td><td>tess2019085135100-s0010-0000000307210830-0140-s_lc.fits</td><td>0.0</td></tr>\n",
       "<tr><td>5</td><td>TESS Sector 11</td><td>SPOC</td><td>307210830</td><td>tess2019112060037-s0011-0000000307210830-0143-s_lc.fits</td><td>0.0</td></tr>\n",
       "<tr><td>6</td><td>TESS Sector 12</td><td>SPOC</td><td>307210830</td><td>tess2019140104343-s0012-0000000307210830-0144-s_lc.fits</td><td>0.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "SearchResult containing 7 data products.\n",
       "\n",
       " #   observation   author target_name                     productFilename                     distance\n",
       "--- -------------- ------ ----------- ------------------------------------------------------- --------\n",
       "  0  TESS Sector 2   SPOC   307210830 tess2018234235059-s0002-0000000307210830-0121-s_lc.fits      0.0\n",
       "  1  TESS Sector 5   SPOC   307210830 tess2018319095959-s0005-0000000307210830-0125-s_lc.fits      0.0\n",
       "  2  TESS Sector 8   SPOC   307210830 tess2019032160000-s0008-0000000307210830-0136-s_lc.fits      0.0\n",
       "  3  TESS Sector 9   SPOC   307210830 tess2019058134432-s0009-0000000307210830-0139-s_lc.fits      0.0\n",
       "  4 TESS Sector 10   SPOC   307210830 tess2019085135100-s0010-0000000307210830-0140-s_lc.fits      0.0\n",
       "  5 TESS Sector 11   SPOC   307210830 tess2019112060037-s0011-0000000307210830-0143-s_lc.fits      0.0\n",
       "  6 TESS Sector 12   SPOC   307210830 tess2019140104343-s0012-0000000307210830-0144-s_lc.fits      0.0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search_result = lk.search_lightcurve('TIC 307210830 c')\n",
    "search_result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `search_lightcurve` function takes several additional arguments, such as the `sector` number or the `mission` name. You can find examples of its use in the [online documentation](https://docs.lightkurve.org/api/lightkurve.search.search_lightcurvefile.html#lightkurve.search.search_lightcurvefile).\n",
    "\n",
    "Like `search_targetpixelfile` the `search_lightcurve` function returns a [`SearchResult`](https://docs.lightkurve.org/api/lightkurve.search.SearchResult.html) object which has several convenient operations. For example, we can select the first data product in the list as follows,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "SearchResult containing 1 data products.\n",
       "\n",
       "<table id=\"table140728767174584\">\n",
       "<thead><tr><th>#</th><th>observation</th><th>author</th><th>target_name</th><th>productFilename</th><th>distance</th></tr></thead>\n",
       "<tr><td>0</td><td>TESS Sector 2</td><td>SPOC</td><td>307210830</td><td>tess2018234235059-s0002-0000000307210830-0121-s_lc.fits</td><td>0.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "SearchResult containing 1 data products.\n",
       "\n",
       " #   observation  author target_name                     productFilename                     distance\n",
       "--- ------------- ------ ----------- ------------------------------------------------------- --------\n",
       "  0 TESS Sector 2   SPOC   307210830 tess2018234235059-s0002-0000000307210830-0121-s_lc.fits      0.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search_result[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can download this data product using the download() method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "lcf = search_result[0].download()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `lcf` variable we have obtained in this way is a [`TessLightCurve`](http://docs.lightkurve.org/api/lightkurve.lightcurve.TessLightCurve.html) object. This object contains time, flux and flux error information, as well as a whole lot of data about spacecraft systematics. We can view all of them by calling the object by itself:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>TessLightCurve targetid=307210830 length=18317</i>\n",
       "<table id=\"table140729726451664\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>time</th><th>flux</th><th>flux_err</th><th>timecorr</th><th>cadenceno</th><th>centroid_col</th><th>centroid_row</th><th>sap_flux</th><th>sap_flux_err</th><th>sap_bkg</th><th>sap_bkg_err</th><th>pdcsap_flux</th><th>pdcsap_flux_err</th><th>quality</th><th>psf_centr1</th><th>psf_centr1_err</th><th>psf_centr2</th><th>psf_centr2_err</th><th>mom_centr1</th><th>mom_centr1_err</th><th>mom_centr2</th><th>mom_centr2_err</th><th>pos_corr1</th><th>pos_corr2</th></tr></thead>\n",
       "<thead><tr><th></th><th>electron / s</th><th>electron / s</th><th>d</th><th></th><th>pix</th><th>pix</th><th>electron / s</th><th>electron / s</th><th>electron / s</th><th>electron / s</th><th>electron / s</th><th>electron / s</th><th></th><th>pix</th><th>pix</th><th>pix</th><th>pix</th><th>pix</th><th>pix</th><th>pix</th><th>pix</th><th>pix</th><th>pix</th></tr></thead>\n",
       "<thead><tr><th>object</th><th>float32</th><th>float32</th><th>float32</th><th>int32</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>int32</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th></tr></thead>\n",
       "<tr><td>1354.1088231272427</td><td>2.4311873e+04</td><td>1.8769577e+01</td><td>-8.0589490e-04</td><td>91191</td><td>664.10903</td><td>338.97642</td><td>2.1566352e+04</td><td>1.6472113e+01</td><td>1.3385229e+03</td><td>3.5451272e+00</td><td>2.4311873e+04</td><td>1.8769577e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.10903</td><td>5.8178976e-04</td><td>338.97642</td><td>6.0455920e-04</td><td>4.8032869e-02</td><td>1.4890091e-01</td></tr>\n",
       "<tr><td>1354.1102119888994</td><td>2.4297582e+04</td><td>1.8773235e+01</td><td>-8.0592179e-04</td><td>91192</td><td>664.12611</td><td>338.96839</td><td>2.1563889e+04</td><td>1.6475323e+01</td><td>1.3444882e+03</td><td>3.5518360e+00</td><td>2.4297582e+04</td><td>1.8773235e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.12611</td><td>5.8167754e-04</td><td>338.96839</td><td>6.0535187e-04</td><td>6.5402389e-02</td><td>1.3844931e-01</td></tr>\n",
       "<tr><td>1354.112989712153</td><td>2.4282812e+04</td><td>1.8741255e+01</td><td>-8.0597564e-04</td><td>91194</td><td>664.10668</td><td>338.96049</td><td>2.1475160e+04</td><td>1.6447256e+01</td><td>1.3468779e+03</td><td>3.5524495e+00</td><td>2.4282812e+04</td><td>1.8741255e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.10668</td><td>5.8500003e-04</td><td>338.96049</td><td>6.0745567e-04</td><td>4.0374711e-02</td><td>1.3017291e-01</td></tr>\n",
       "<tr><td>1354.1143785738097</td><td>2.4275164e+04</td><td>1.8781441e+01</td><td>-8.0600253e-04</td><td>91195</td><td>664.14148</td><td>338.98328</td><td>2.1583307e+04</td><td>1.6482523e+01</td><td>1.3438405e+03</td><td>3.5524592e+00</td><td>2.4275164e+04</td><td>1.8781441e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.14148</td><td>5.8221997e-04</td><td>338.98328</td><td>6.0431601e-04</td><td>8.0888584e-02</td><td>1.5741505e-01</td></tr>\n",
       "<tr><td>1354.1157674355243</td><td>2.4288371e+04</td><td>1.8776447e+01</td><td>-8.0602936e-04</td><td>91196</td><td>664.13548</td><td>338.97358</td><td>2.1575641e+04</td><td>1.6478142e+01</td><td>1.3419084e+03</td><td>3.5480881e+00</td><td>2.4288371e+04</td><td>1.8776447e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.13548</td><td>5.8233330e-04</td><td>338.97358</td><td>6.0483697e-04</td><td>7.4183472e-02</td><td>1.4472328e-01</td></tr>\n",
       "<tr><td>1354.1171562971804</td><td>2.4280523e+04</td><td>1.8768578e+01</td><td>-8.0605625e-04</td><td>91197</td><td>664.13351</td><td>338.97214</td><td>2.1563102e+04</td><td>1.6471235e+01</td><td>1.3378163e+03</td><td>3.5436206e+00</td><td>2.4280523e+04</td><td>1.8768578e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.13351</td><td>5.8274117e-04</td><td>338.97214</td><td>6.0512009e-04</td><td>7.1515344e-02</td><td>1.4336312e-01</td></tr>\n",
       "<tr><td>1354.1185451588947</td><td>2.4286711e+04</td><td>1.8765480e+01</td><td>-8.0608309e-04</td><td>91198</td><td>664.12517</td><td>338.96675</td><td>2.1552936e+04</td><td>1.6468515e+01</td><td>1.3372028e+03</td><td>3.5442295e+00</td><td>2.4286711e+04</td><td>1.8765480e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.12517</td><td>5.8198441e-04</td><td>338.96675</td><td>6.0517463e-04</td><td>6.5269679e-02</td><td>1.3618952e-01</td></tr>\n",
       "<tr><td>1354.1199340205515</td><td>2.4255619e+04</td><td>1.8757978e+01</td><td>-8.0610998e-04</td><td>91199</td><td>664.13023</td><td>338.96995</td><td>2.1532902e+04</td><td>1.6461933e+01</td><td>1.3415085e+03</td><td>3.5453105e+00</td><td>2.4255619e+04</td><td>1.8757978e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.13023</td><td>5.8275240e-04</td><td>338.96995</td><td>6.0552283e-04</td><td>6.8680957e-02</td><td>1.3969450e-01</td></tr>\n",
       "<tr><td>1354.1213228822667</td><td>2.4262840e+04</td><td>1.8758078e+01</td><td>-8.0613681e-04</td><td>91200</td><td>664.12622</td><td>338.96554</td><td>2.1533828e+04</td><td>1.6462021e+01</td><td>1.3382404e+03</td><td>3.5454845e+00</td><td>2.4262840e+04</td><td>1.8758078e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.12622</td><td>5.8211992e-04</td><td>338.96554</td><td>6.0527271e-04</td><td>6.5827116e-02</td><td>1.3609535e-01</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></tr>\n",
       "<tr><td>1381.5001032523294</td><td>2.4288518e+04</td><td>1.9145361e+01</td><td>-1.1857213e-03</td><td>110913</td><td>664.07445</td><td>338.85133</td><td>2.1262494e+04</td><td>1.6801899e+01</td><td>2.1153037e+03</td><td>4.2768788e+00</td><td>2.4288518e+04</td><td>1.9145361e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07445</td><td>6.0456968e-04</td><td>338.85133</td><td>6.3469319e-04</td><td>6.7313453e-03</td><td>-1.7380530e-02</td></tr>\n",
       "<tr><td>1381.5014921207378</td><td>2.4314963e+04</td><td>1.9157202e+01</td><td>-1.1857414e-03</td><td>110914</td><td>664.07975</td><td>338.84913</td><td>2.1289830e+04</td><td>1.6812288e+01</td><td>2.1122083e+03</td><td>4.2748408e+00</td><td>2.4314963e+04</td><td>1.9157202e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07975</td><td>6.0464692e-04</td><td>338.84913</td><td>6.3474779e-04</td><td>1.2294311e-02</td><td>-1.9028442e-02</td></tr>\n",
       "<tr><td>1381.5028809891458</td><td>2.4287336e+04</td><td>1.9145287e+01</td><td>-1.1857615e-03</td><td>110915</td><td>664.07908</td><td>338.85137</td><td>2.1266350e+04</td><td>1.6801832e+01</td><td>2.1092537e+03</td><td>4.2716589e+00</td><td>2.4287336e+04</td><td>1.9145287e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07908</td><td>6.0521072e-04</td><td>338.85137</td><td>6.3506985e-04</td><td>1.1281053e-02</td><td>-1.7392185e-02</td></tr>\n",
       "<tr><td>1381.5042698574382</td><td>2.4250791e+04</td><td>1.9129375e+01</td><td>-1.1857818e-03</td><td>110916</td><td>664.07296</td><td>338.85550</td><td>2.1234850e+04</td><td>1.6787870e+01</td><td>2.0995103e+03</td><td>4.2670422e+00</td><td>2.4250791e+04</td><td>1.9129375e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07296</td><td>6.0523918e-04</td><td>338.85550</td><td>6.3468731e-04</td><td>3.6670761e-03</td><td>-1.0083861e-02</td></tr>\n",
       "<tr><td>1381.5056587258466</td><td>2.4272904e+04</td><td>1.9130596e+01</td><td>-1.1858019e-03</td><td>110917</td><td>664.07822</td><td>338.84684</td><td>2.1244951e+04</td><td>1.6788940e+01</td><td>2.0982610e+03</td><td>4.2620702e+00</td><td>2.4272904e+04</td><td>1.9130596e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07822</td><td>6.0487830e-04</td><td>338.84684</td><td>6.3467148e-04</td><td>1.0049758e-02</td><td>-2.2052733e-02</td></tr>\n",
       "<tr><td>1381.5070475942555</td><td>2.4244773e+04</td><td>1.9113134e+01</td><td>-1.1858221e-03</td><td>110918</td><td>664.07699</td><td>338.84420</td><td>2.1210760e+04</td><td>1.6773617e+01</td><td>2.0926931e+03</td><td>4.2577090e+00</td><td>2.4244773e+04</td><td>1.9113134e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07699</td><td>6.0498924e-04</td><td>338.84420</td><td>6.3551613e-04</td><td>7.6570297e-03</td><td>-2.6143335e-02</td></tr>\n",
       "<tr><td>1381.508436462548</td><td>2.4274957e+04</td><td>1.9118402e+01</td><td>-1.1858423e-03</td><td>110919</td><td>664.07860</td><td>338.84214</td><td>2.1231014e+04</td><td>1.6778240e+01</td><td>2.0832832e+03</td><td>4.2526455e+00</td><td>2.4274957e+04</td><td>1.9118402e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07860</td><td>6.0521363e-04</td><td>338.84214</td><td>6.3519127e-04</td><td>1.0699908e-02</td><td>-3.0003805e-02</td></tr>\n",
       "<tr><td>1381.5098253309563</td><td>2.4274902e+04</td><td>1.9122919e+01</td><td>-1.1858625e-03</td><td>110920</td><td>664.07231</td><td>338.85137</td><td>2.1250465e+04</td><td>1.6782204e+01</td><td>2.0831892e+03</td><td>4.2515340e+00</td><td>2.4274902e+04</td><td>1.9122919e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07231</td><td>6.0427783e-04</td><td>338.85137</td><td>6.3426507e-04</td><td>4.3808916e-03</td><td>-1.5397585e-02</td></tr>\n",
       "<tr><td>1381.5112141992488</td><td>2.4265334e+04</td><td>1.9115648e+01</td><td>-1.1858827e-03</td><td>110921</td><td>664.08214</td><td>338.84521</td><td>2.1236355e+04</td><td>1.6775822e+01</td><td>2.0772075e+03</td><td>4.2467227e+00</td><td>2.4265334e+04</td><td>1.9115648e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.08214</td><td>6.0488580e-04</td><td>338.84521</td><td>6.3436205e-04</td><td>1.4993464e-02</td><td>-2.5431424e-02</td></tr>\n",
       "<tr><td>1381.5126030676577</td><td>2.4296789e+04</td><td>1.9121765e+01</td><td>-1.1859029e-03</td><td>110922</td><td>664.07292</td><td>338.84971</td><td>2.1265840e+04</td><td>1.6781191e+01</td><td>2.0722200e+03</td><td>4.2412267e+00</td><td>2.4296789e+04</td><td>1.9121765e+01</td><td>0</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>664.07292</td><td>6.0415227e-04</td><td>338.84971</td><td>6.3310139e-04</td><td>4.4403672e-03</td><td>-1.8668674e-02</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<TessLightCurve targetid=307210830 length=18317>\n",
       "       time             flux      ...   pos_corr1      pos_corr2   \n",
       "                    electron / s  ...      pix            pix      \n",
       "      object          float32     ...    float32        float32    \n",
       "------------------ -------------- ... -------------- --------------\n",
       "1354.1088231272427  2.4311873e+04 ...  4.8032869e-02  1.4890091e-01\n",
       "1354.1102119888994  2.4297582e+04 ...  6.5402389e-02  1.3844931e-01\n",
       " 1354.112989712153  2.4282812e+04 ...  4.0374711e-02  1.3017291e-01\n",
       "1354.1143785738097  2.4275164e+04 ...  8.0888584e-02  1.5741505e-01\n",
       "1354.1157674355243  2.4288371e+04 ...  7.4183472e-02  1.4472328e-01\n",
       "1354.1171562971804  2.4280523e+04 ...  7.1515344e-02  1.4336312e-01\n",
       "1354.1185451588947  2.4286711e+04 ...  6.5269679e-02  1.3618952e-01\n",
       "1354.1199340205515  2.4255619e+04 ...  6.8680957e-02  1.3969450e-01\n",
       "1354.1213228822667  2.4262840e+04 ...  6.5827116e-02  1.3609535e-01\n",
       "               ...            ... ...            ...            ...\n",
       "1381.5001032523294  2.4288518e+04 ...  6.7313453e-03 -1.7380530e-02\n",
       "1381.5014921207378  2.4314963e+04 ...  1.2294311e-02 -1.9028442e-02\n",
       "1381.5028809891458  2.4287336e+04 ...  1.1281053e-02 -1.7392185e-02\n",
       "1381.5042698574382  2.4250791e+04 ...  3.6670761e-03 -1.0083861e-02\n",
       "1381.5056587258466  2.4272904e+04 ...  1.0049758e-02 -2.2052733e-02\n",
       "1381.5070475942555  2.4244773e+04 ...  7.6570297e-03 -2.6143335e-02\n",
       " 1381.508436462548  2.4274957e+04 ...  1.0699908e-02 -3.0003805e-02\n",
       "1381.5098253309563  2.4274902e+04 ...  4.3808916e-03 -1.5397585e-02\n",
       "1381.5112141992488  2.4265334e+04 ...  1.4993464e-02 -2.5431424e-02\n",
       "1381.5126030676577  2.4296789e+04 ...  4.4403672e-03 -1.8668674e-02"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that unlike the table generated via a `LightCurve Object`, this table contains the SAP flux and PDCSAP flux!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the lightcurve\n",
    "\n",
    "Lets now plot the lightcurve up for the object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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10To/Pz/89NNP7N9bt25FZmYm+/fPP/8MAHjxxRfZgbs+Pj6YP38+fvzxRyxYsAD16tXDwIEDzboVffzxx9ixYwcSEhJQVFSEJk2a4JlnnsGECRPYAmObNm1w4sQJrF27Fmq1Gr6+vujcuTOioqLQvn179lh16tTBnDlzsGbNGixdupSdb+Gdd96psTUjhBBCSE3mpheaFchFbN68Gdu3b8fkyZMxbNgwdnlqaiqWLFmC5cuXs7O2Llu2DGlpaWZRgBgFBQUoKSlBSUkJTp06hYMHD2LixIkYPXo05/ZTp05Ffn4+NmzYgLp161pMq1qtxocffggfHx+sWLHCbL1Go0FYWBhiY2M5w4Dm5OQgOjoakZGRbKz62tQCQFxHdnY2oqKiEBkZyTmPACGEEOLMgoKC8OOPP7rUjPdMPnL79u2c+UiGy7cAbNu2Ddu3b8cbb7xhlPkvLy9HTEwMhg0bhqZNm7JRTJgZX9VqNTw8PMxitvv5+bF9pJn+zRs3bsSgQYOMZl8FgH/++QfXr1/HiBEjRGX+gUc1uH369EF8fDwqKirMapQZ9evX5/zivLy84O7uDnd3d4tjEwghhBBCCDHl0gWAbdu2YevWrRg/frxZ1x+VSoXi4mLs2bMHe/bsMds3PDwc/fr1M+uWYapLly6Ij49HXl6eWQHg8OHDAIDBgwdLSrdS8ewJIYQQQojt1NS8mssWAH755Rds3boVYWFhCA8PN1vv6+uLBQsWmC3ftWsXMjMzMWfOHDRq1MjieS5evAh3d3ezAb6VlZVITk5Gly5dJMX0V6vVOH36NDp06ABPT0/R+xFCCCGEEKIElywAxMXFYcuWLejduzeCgoJw5coVo/WBgYHw9PQ0G9gJAImJiXB3dzdbFx0dDW9vb3Tp0gVNmjSBSqVCamoqjh07htGjR5vV/p88eRKlpaWYOHEibzoXL16MFi1aoHPnzmjUqBHu3r2LuLg4FBcX45NPPrHiChBCCCGEECKPSxYATp06BQA4d+6cUax2xv79+yUfMzAwEImJiUhKSkJZWRm8vLzQvn17REZG4oUXXjDb/tChQ/Dy8sKAAQN4j9muXTscP34cCQkJKC8vR8OGDfHEE08gMjISXbp0kZxGAOyAX51OJ2t/QuyFuUdpkDohhBDiXFyyALBw4ULZ+06dOpUNqWgoJCRE0kRe8+bNs7jNmDFjMGbMGEnpY0RGRpplnEJDQ9nCSFZWFtq1ayfr2ITYAzN7sK+vr4NTQgghhMhDYwCIXUVFRfGGbwoODmZbOTp06EDRgIhT0el0yMrKwv79+9mJ2gghhBDiPKgA4IKYVgU5XZ0IsZfg4GDZLWCEEEIIsR0qALggd3d3hIWFYfjw4Xjw4AGqq6sdnSRCWO7u7vD19aWaf0IIIcRJUQHAhfFNFkYIIYQQQggfCs9BCCGEEEJILUIFAEIIIYQQQmoR6gLkpPjCgIaGhjooRYQQQgghpCagAoCTEgoDSgghhBBCiFzUBYgQQgghhBAONXUiMCoAEEIIIYQQUotQAYAQQgghhJBahAoAhBBCCCGE1CJUACCEEEIIIaQWoShATorCgBJCCAkNDcVvv/3m6GQQYlNarRZFRUXw9/d3dFJqDSoAOCkKA0pIzRcUFIQzZ844OhnEieXn5zs6CYTYXHx8PObPn0/PQzuiLkCEEEIIIYTUIlQAIE4rOzsbycnJjk4GIYQQQkiNQgUA4rT++OMPzJs3z9HJIIRw2L9/P9LT0x2dDEKIHU2ePNnRSbA7mgiMEEII+f/FxsYiJSXF0ckghNjR2bNnHZ0EohAqABBCCCFWysnJgV6vd3QyCCFEFIoC5KQoDCghhNhHdXU13NzcrGrqHzlyJHbt2oV27doplzBCaoma2s3GmVEBwElRGFBCiL0VFxejYcOGqFOnjqOTYlfz5s2Dr68vPvroI0cnhRBC7MLlCgAXLlxAcnIyLl++jMLCQjRo0ACdO3fGuHHj0KlTJ979Dh48iOjoaHh5eWHnzp1G67KysrBp0ybcvHkTKpUKnp6e8Pf3R2hoKF544QV2u4yMDMyYMYPz+IsXL0ZgYKDRsvLycmzevBnHjx9HaWkpAgIC8Nprr2HgwIFWXAFCCLGN0NBQzJ49G4MHDwbw6Bnm7e3t4FTZ3t27d1FZWenoZBBCnFBNbZ1wuQJAfHw8SktLMWLECLRu3RoqlQpxcXGYNm0a5s6di549e5rtU1RUhNjYWDRt2hQajcZsfVlZGZo3b46BAweiWbNm0Gq1SElJQVRUFAoKChAWFma0/Ztvvonu3bsbLWvbtq3ZcRcsWIBr165h4sSJ8Pf3R0pKChYvXozq6mo8//zz1l0IQghRWEVFhVFGeMCAATQxDyGE1EAuVwCYMmUKmjRpYrSsd+/eiIiIwM6dOzkLACtXrkS3bt3g4+ODtLQ0s/Xdu3c3y9D37dsX+fn5SEhIMCsAPPbYY2a1/abOnDmD9PR0TJs2Dc899xwAoEePHigoKEBsbCwGDBhQ65rZCSHEWdEAXkJIbeJyUYBMM/8A4O3tjTZt2qCwsNBs3ZEjR5CZmYl3331X8rms6Qt74sQJeHt7o3///kbLQ0JCcP/+fVy9elXWcQkhxB4yMzMdnQS7qalN/IQQwsflWgC4lJWV4caNG+jRo4fR8uLiYqxduxYTJ05E8+bNLR6nuroaer0earUax48fx/nz5zknvYiJicGiRYtQr149BAYGIiwsDN26dTPa5tatWwgICDArQDARIm7duoWuXbvypoWrqxKXunXrom7duqK2dTVUI0eI49y/f9/RSSCEEGIjNaIAEBMTA61Wi7FjxxotX716NQICAvDKK6+IOs7q1auRkJAAAPDw8EBERASGDh3Krq9fvz5GjBiBJ598Eo0aNUJubi52796NGTNmYPbs2ejduze7bWlpKVq2bGl2joYNG7LrhUyaNElUmsPDwzF+/HhR27oiqpkjpOY4ffo0+vTp4+hkECe0Y8cOPPPMMwgICHB0UgipFVy+ALB582YkJydj8uTJRlGAUlNTcerUKSxfvlx0JnLMmDEYPHgwSkpKcOrUKfz444/QarUYPXo0AKBjx47o2LEju323bt0QHByMDz/8ELGxsUYFAGvFxsaKCgNaU2v/GdQKQGq6wsJC5OXl4cknn3R0Umzu3XffpUHFhNOiRYswZ84cKgAQYicuXQDYtm0btm/fjjfeeAPDhg1jl5eXlyMmJgbDhg1D06ZNoVarAQBVVVUAALVaDQ8PD3h5eRkdz8/PD35+fgCAoKAgAMDGjRsxaNAgNG7cmDMNPj4+6NOnD+Lj41FRUYF69eoBeFTTz1XLzyxjWgL41K9fv9bPA0C1/6Q2OHDgADZv3ozExESbn0utVuOTTz7BunXreLeprYXu2vq5CSG1k8sWALZt24atW7di/PjxZl1/VCoViouLsWfPHuzZs8ds3/DwcPTr1w9ff/214Dm6dOmC+Ph45OXl8RYAgP97cRhmWNu1a4ejR49Cp9MZjQO4desWAO6woYQQYktqtRrp6emOTobTocoGQkht45IFgF9++QVbt25FWFgYwsPDzdb7+vpiwYIFZst37dqFzMxMzJkzB40aNbJ4nosXL8Ld3Z2zLz9DrVbj9OnT6NChAzw9PdnlwcHBOHjwINLS0jBgwAB2+R9//IGmTZuiS5cuFs9PCBeNRoOBAwdSVwpCCCHExmpqBYHLFQDi4uKwZcsW9O7dG0FBQbhy5YrR+sDAQHh6eprF9QeAxMREuLu7m62Ljo6Gt7c3unTpgiZNmkClUiE1NRXHjh3D6NGj2dr/xYsXo0WLFujcuTMaNWqEu3fvIi4uDsXFxfjkk0+MjhkUFIRevXph1apV0Gg0aNWqFY4ePYpz587h008/pTkARKAmeW5MVzZSc9C97nj2/A5CQkLs0uWLEEL4uFwB4NSpUwCAc+fO4dy5c2br9+/fL/mYgYGBSExMRFJSEsrKyuDl5YX27dsjMjISL7zwArtdu3btcPz4cSQkJKC8vBwNGzbEE088gcjISM4a/RkzZmDTpk3YsmULSktLERAQgOnTp2PgwIGS01hb1dSSNxEvMzMTf/75J9566y27nC8yMhJRUVF2ORepnYqLix2dBKeWnp6O+Ph4fPnllw5LQ3R0ND744AOHnZ+4rjt37rjEYHaXKwAsXLhQ9r5Tp07F1KlTzZaHhIQgJCTE4v5jxozBmDFjRJ/P29sbERERiIiIkJRO4FEmxN3deJ620NBQhIaGSj4WIa4sPT0dGzduNCsAaLVas4H8Sjh69Kjix7SECrqOR9+B87h+/Tr27dvn0ALAzz//bLcCQHFxMeckp4RfZWWlTaIgVlVVoaqqyqp3y6hRo1yii67LFQBqi6ioqFofBYgQIf3793eJhyxxDUp0AaKuXEQqnU6HkJAQxZ5lR44cMeq5UBPp9Xo8/fTTNnn+b968GUePHsX69esVP7azcbe8CSH87t275+gk1GjU3584Sm2qEa9Nn9UVOGtBql+/fo5OgkXTp093dBJkkfIbTE1NlXTssrIy0duq1WoUFRUZLaupzwcqABCrGM6UrDRnfQmYGjJkCK5du2aTYw8ePBjnz5+3ybGJcjZs2ICLFy/i22+/lbW/M93rhYWFAMSnadu2bbh+/botk0RqIWfMdOl0OpsdOzc3F9XV1YLbaDQapKWlWTzWa6+9ZlVaPvzwQ2RlZVl1DFvSaDSStn/uuedslBLXRgUA4tSc8SWQmZlp1PJRWFgIlUplk3OpVCpJtRfEMVasWIE//vgDu3btcnRSrBYdHS1p+x9++IEzIAMR5kyFPmIbOp0OlZWVRstycnI4nxPDhw9HRkaG4PEuXbqEjz76yOJ5b968KSmdx44dw19//cX+feLECeTn50s6Rm1UVVXl0teJCgBEcb/++qujk2ATWq0WQUFB+PTTT7F3715HJ4c4kTp16nDW3pWWlmLHjh0W93fGgq6cSDUHDx60QUpqJmcqAJSXl2Pu3Lk4cOCAQ9PB/A6c6dpYY+PGjfj444+Nlp0/f96opdDwszrqObB69WqHf/fOQsp3kJSU5NKBWagAQBRnTaQmU1wvgqCgIFH73r17FxcvXlQsLbZs/iWurU6dOpzjNf755x8sWrTIASmy3v/+9z/O5Xfu3OHd56uvvrJVcogNXbt2Dfv375cVRttWnLFQLFVxcTEKCgpEb28a+c9Wrly5gqVLl9rlXM5q4cKFbFh5uSx12XJ2VABwUpGRkXjvvfeM/v3222+OTpZNpKSk4M033zRbLvYFwDdQdvfu3Zg5c2aNqU1yVuvWrcPff//t6GQ4lLu7u1UvA1e6R0eNGmX0tyul3Zm4wnW7c+eOS6STcNNqtbh69arZ8qtXr2Lbtm2C+8otgKWnp2PmzJmy9rWn33//XfbYvf379+OXX35ROEX2RwUAJxUVFYVVq1YZ/XPlpiYhhYWFZjM6A+JekA8ePEBwcDDv+pycHEW6JB0/ftzqY9Q0er0eVVVVWLNmDTIzMx2dHIeqU6eOw1uIrl275rDMWk2orbU3V8hYjxo1Cjk5OYofNyEhQXC94bXJzs6WVItuCzqdTrDlS4il79nwtyOlBUDMwPsTJ05g/Pjxoo+phJs3byI+Pl7yfqbPkDt37kCr1VqVDiF6vZ73elv6zk6cOIGUlBS5SXMaVAAgTs1SxsJ0gBWX+/fvW52OTz75xOpjuAK+6ArJyckoLy83WpaSkoL//Oc/9kiW0+MrANgiY8yXGQkPD0dpaani5yOuITMzE999951Vx7BXoeTrr7/mXM71e5k1axZiYmJsnSRBFy5cMGv5EoPr8whdY0sFAMPjjRs3TnJ6XMmoUaMsFhSFWIqEpNfra33FBRUAiMO5Qk2YJTXhQaLT6TBw4EDOddOmTTNrLlWpVIrUDnJFOdqzZ4/Vx7VGfn6+6LEmgPVdgKTcP5mZmbyZEUf9llz9N+zm5ubyn+HatWvYuXOnTY5dUVFhl/7Ozvod2DJdzvqZrcE8z/Ly8gAAEyZMsMnxrUET/1EBgChAie4xrp6BNnwQaLVaLF++3CbHdlZiB35rNBpcv37d6DNxxWj+5ptvFEubHKatHeHh4YJdfLgykFKiakj5jjxZvA8AACAASURBVO1xP8ybN0/0tq7+2wWkX1O+zLCl41RXV+Phw4eyzmkPfN/lhAkTsG/fPrulQ+q1uXPnDmdf9yFDhiA9PV2pZNmclBYAVzBs2DAAcMoxYkJdgEy52nUXiwoARFBBQQHi4uIEt2EmDpKqsLCQzWhY+zKsqKgwWyYlNr9areY8hiHmIWCpr3dxcTE2bdok+tyWnDhxAmPHjpW0z/Hjx5GcnKxYGoRIeTjGxcVh3LhxkuPGM/fHihUrZE+2ZQ1L/evd3d3N1s+ZM8fh4wLkkhLm1hkzsnJIuY/79u0r6xz79u3D66+/LmtfS6z5HoQ+u16vR0FBgd3nI5HyfWzYsIGtNDCMpW/LOVqsVVpaavbOsVcUICErV660an9XeR5UV1fz3mOu8hms5fi7jTiN6upqs5qtixcvYv78+Rb3LS8vx4cffijpfHl5eUYZjT179hjFHhfzI2S2efbZZ83W7d69GwBw9uxZi8d5//33sW7dOovbAfLio1vjwYMHkmdl3Lt3L/v5bWHdunWiH5LffPONWcQJphZUqoyMDKefbEuJAdFVVVWyBj4aTuZjT65eQ2ZtF6CXXnpJ1HZqtZqdOMgWmQxrvwdHZ3xmz57NuVxKuiZNmqRUcmxqypQpiI2NNVpm6fuzx+9MidDZrvI84Eqn2LTr9XqH/16sRQUAJ+WIMKBz5syRPAsoQ6PR4MSJE7LP7ebmhm+++casGdfNzQ35+flW/dAuXbpkcZuysjLZmVJTtnz4paSkmHW3iYuLkzzzIxcp11jKoLxLly7h+++/l5MklpLX1FJLj1xM5IsLFy5wrj969Cjvvm5ubhgyZAj7d1JSEl555RXObYW+p0OHDolJKpEhPT0dBQUFRvd+SUkJ9Ho9Hjx4IPl4cp9phw4dwgcffIBbt25ZPN7KlStF1ehKqWyxhbfffpv9v2lYZ1fITBYVFeH8+fOS9tFoNGbvHFf4rM7o3r17kvfhu5/F3Oc15XuiAoCTckQY0Ly8PFk/JCVx/fhCQ0Ot6kNo2p9bST/++CMA4weCLR8O27dvx+HDh42WLVq0yOKEJv3797cqpBoXoc958+ZNpKamsn/rdDqjCbGkZiaUzHxwtRaJkZCQwH7fpkyvBVdNfGRkJO+x9Xq9UVc6piXuxIkT+Pnnn2Wk1rIjR45g5cqVLl+LJVdiYiL7fzG/2U8//RTx8fFGGb1BgwYZPZvskTHIy8vDX3/9JSoC1/Xr13Hjxg3Rx+arEbX15zLsp//TTz9h7dq17N9i709H3seHDx/mbQE3TZfUKEArV660aXdOvvETctnjezA9x9ChQwE8Kjzyve8Nf+/Ao2csX5ermpLBt4QKAIRl6Ye7YMECUbGHlVBeXo7Vq1ezfztrJsXwReVsTAcmG/ZHz8vLExVCVa6DBw9iwYIFRst27NhhcT+tVovs7GxbJcsqFy5c4I39bPrCEIqOlJeXhxUrVrB/R0dH897fZ8+eNeuPr9RvISMjA7GxsVizZo0ix3M1X3zxhdHfcq+rYY21Iwdz2yrTYm069Xo91Gq12fIrV64gNzfXbPnNmzdRUlJitMwZusbY09WrV9lW00OHDrHdCm3xOe/evav4MR1h3bp12Lx5M6ZMmcK53vT3DvBfT1codCqBCgDEiOEPIi8vD7dv32b/3r17N2dXE6kPpaKiIt5uGMwPihlwZs8fmFLnsuXLSOyxLW03bNgwJCUlyTo2wxbfTf/+/fH5558rflxb47t2XMtv3LiBDRs2GC0T6n5m6TqvWbOG/S7lfCdKt/pZG4u+trp06ZLsyaYAcd+9pcHLlo5x8+ZNzoyUkMuXL+P55583Wz5z5kxs375d0rFckZTnKrPt1atXsXnzZlslyaVwda/juqYxMTHQaDSSxuj9/vvvmDt3rsVj11RUACAs04f/ypUrsWrVKlH7SpkWOzw83GJkIUuYCY+4Xljl5eVmEStMw0qaxngX86M3jC7hKH/++Sf7/6lTp/JOlCL0Il+6dCnnNkpm6Lds2SK43vRcZWVl7PU1LRwKfTeGNYVlZWWyJutRAl9YSLEvE77uWWL2P3ToEDvuwNJ3aKuoRHq9nm16t1UselsTutaFhYVsTb/QdjqdTnS0HNPf7rx587B161ZR+/KxdL9Ye5/m5OSYdaWwRO7YKsM0WbqvhdbbMkPHN3EiQ6fToaioSHR67JX5FLpeYoJmVFdXc3727777TvEJtsQOsAceXb+cnBy89957ora/efOm5Ih0NQkVAIgRuT9c02gGQioqKqDT6USdi2+bwYMHmy2rqqpCdXU1Fi9ebDbTpKWJpcRkfoUG2hrub6uHuGmm+tKlS4LNt3zpMI3Iw7fNkSNHADyqlZdyfMDyi9HUc889J2usxqBBg9j/a7VatgZ11apVghkx05dyTEyMVfHCDTPWlu4FS/dHcnKyUSFIyYLZyJEjFTuWodOnT+PFF1+0ybHtReg6jxo1CmVlZRa/iz179mD8+PGizvfrr79KSp+ruHfvnqKDisU+Ty9fvoyZM2eK2paxYcMG2bPNqtVq3okTGYcPH+bs/sQwjSQj9Flzc3N5r1l5ebliQSwYhq3/pg4fPoxXX33VbLk1hX+psyYLHcPSmDgG3xgAS+dlooZRFyBSYzg6EoQUTP91w4dGREQEduzYgX379smKWW3pRbN48WLJx1QCc82XLVtmto6p0VMicsGxY8fY///22284efIkAP7aadNzcvXnlUOJAtT69esFu7YYRh0BHhV4lAjfaUrO72XatGmyozrxXTtrozAJ0ev10Gq1Nh1T4mhiM1fXr18X7IJgeD8o/SzlO97Ro0eRlpYm6hhc949Go+Et/HBFjRs6dKjZrOFSzicHcxzTAAmA8HVOSkrCmTNneNf/888/vOsszYx84sQJs/fQvXv32O56TJrFjsEZPnw4b3oiIyONxsxJwXd9hFr1y8vLzSpRGEoXRKRQohurNaFBXY2H3B1N+w9bw9VrjmoSOTe6lFlDLbHmpZibm4slS5YAgGCtC0On06FOnTqKnNsRDwjmnHIHMpmuv3LlilXpGT58OI4dOwZvb2/ebZi0SrnWa9eutdiiUFhYKGkSHUsvbz5i+vrb+l4QunaG6+7fv4+mTZsCADZv3oxPPvlE8bQwmX5nqRiQS8o8AELf79mzZ9GgQQNRx6murkZhYSHu3LmDXr16idoHkHet09LS8Mwzz8g6NtPd0nD94sWLMX36dPz888/44IMPzPaR+/syJOd3xHTTunz5Mrp27Wp1GubMmWM2XkfItWvX0LlzZwDgjAr0559/GlW0AMKt54WFhcjJybF4LUpLSyW3ukqRk5MDf39/9m8xXUyV4GoZ73v37qFJkyaOToZosgsA33//vWJfDhUAzEVGRpplaEJDQ20aCtSWL3Hmwezh8X+3nBL3jzVp7tevH1v746gHzdWrV7F8+XLBWN18aeOafdbSPkKU/v7z8/PNapGYcwhlEJi0P3z4EJ6enqIKc0OGDOGs/TNlzSBLoTCqcgb6idlGzLZ8tcqDBw8WrN3k2kcq5vt19QKAoaCgIFHXTQ7D7/Pq1atISEjA2rVreaNLiTmOrTFRVQzPuX37dkyfPt1ou/v37wvOdWHKlpFWvvrqK5tOhMgnPDxc0XuHeaYx14Dre//77785r9Hy5cvRo0cPi+ewdC8lJibiiy++MPpcp0+ftnhcRxDTvdJwQDrf9nl5eZg1axb+97//ca7nuydfeeUVzJkzR1RanYHsAgAAtGvXDsHBwbL3P3nypCITGNVEUVFRqF+/vt3Pa/iDMBxwumnTJknHSUxMREhICPv3d999B3d3d3z55ZeC++n1egQFBfH2y8zLyzP62zAsqStmQvLy8oyusyEmwymUyefLSMvpzmWL67dkyRJ06tSJ/Zvp9xwZGYnExETB2pKkpCTZE9PxMZ1kyBDX5w8JCWEHPcbHx+Pxxx+3eI5Tp06xBXWpA8yYwepcAyBPnTqFZs2aiW62tkTJTKQr/vbksnTdLF0Loe6JWVlZmDRpEmetMLN8xYoVaNSokdn65ORkmxYMLH0u03FZ2dnZ+PnnnzFixAibpcnWxFxPrq4wSneHE5oLZMKECQCA7t27Gy3ftGmTIt1Wf/jhB7Nltphw0HAG4vnz58s6hqXv6+zZs5wRqbjwTegodC5XGxdgVQGgQ4cOCA8Pl71/fn6+rALAhQsXkJycjMuXL6OwsBANGjRA586dMW7cOKPMhqmDBw8iOjoaXl5eZoNVsrKysGnTJty8eRMqlQqenp7w9/dHaGgoXnjhBVnnzsjIwIwZMzjTsnjxYgQGBkr+7PZ0//599v/r1q0DIP5Fb1pjILaLhuE5AfMfmeHkUgAkTXLDpaqqiv1sjOLiYly5ckVy4XbJkiWYNm2aWZr379+P4cOHGy0z7X7EhW/wrZBPP/0UEydOBPDo2k2fPp2NolBZWYmvvvpK8jGtZVhIMxxYZuklWVxcbFbgE2KLDK1pf24x939qaiqGDRsGAFCpVGbrhdJpOlg9KyuLHei9ZMkSPP300xgwYIDFNNibK730xGJaoKSy5loUFhbyvhMzMjJ4x/xotVqcPHmS95lieM8x3Xf4bN++HWFhYRJTbu727dvYu3cvbwGA7zqZtuRZO5GjrVtLXn75Zbz77rvseaqqqvD+++9b3E9MQd7S30pwlt+uYWRAS1ECDa/D77//zrlcLmvHAPBV6Dkj2YOA69evj3r16ll1ck9PT8H+wnzi4+NRUFCAESNGYPbs2YiIiEBxcTGmTZvGW2orKipCbGws2yfWVFlZGZo3b44333wTs2fPxtSpU/Gvf/0LUVFRRrGK5Zz7zTffxOLFi43+tW3bVvLnthedTmexph5Q9sHBvNhs0Xwm9OPNz8/HunXrjD7LiRMn8MEHH0Cn0/E2I5eWlprVTjPdIUzPZxpnGHjU/chS2ixh+i0bDrpKSUlhu7no9XqcP3+enZRKq9Xi4MGD7LbWhNZTgunxmWshNPBOCsMXgxhivgu+GTPFfo8PHz6UFE5WTPcnYhti+sxLZXrPf//990YRnyxVkvDFzbc0QaPhebdv3y742+arNbZVCFk+zG+K77NVVlZi6tSp9kySIOaa5ufni27543pulJeX2/zZy3Vew5nInYXpdThz5gyWLVtm1AJhq65elkLL8q0XG4HIGchuAZAS953Pe++9Jzpeq6EpU6aYdR3o3bs3IiIisHPnTvTs2dNsn5UrV6Jbt27w8fHhjIjQvXt3sya0vn37Ij8/HwkJCWyNiJxzP/bYY05f229Ip9OJ6k8tdfpwvV6Py5cvczaBi33gLVy4kHedmIGYr7/+uugJVrRaLRYsWIDRo0ebrbMU516u/fv3o169epxhTk25u7sLxvUuKSkxWi9lhl2l+7RzUWKgoJD169fzPl+UCDkndDy+Y4nNVEoZ2G1tZmHv3r2YOXMmsrKyZB/DNA1BQUEYNmwYevbsiVdffRUqlcqoid/VWDvD76pVqxAcHGzWwgk8qjHeuXOnYPx0ptAoZZIjIdeuXUOXLl0k7RMdHc0GWRDDmjDPljCzBR87dgx///23pH2XLl2K9957D97e3g6v/TYcYM0YMGAAZs+eDUC55/DWrVsxePBgNG/enHeb8+fPiz4X4+bNmwgPD8eJEyck7yvHpUuXsG/fPvj6+nKu5ypAG/bgqKqq4m19X7BgAW+PDTEc0bpuLZcMA8rVb9jb2xtt2rThLMUeOXIEmZmZePfddyWfq2HDhkY3i9RzuxKp/cbF9nMsLCxkIx8wEQLc3NwUHwTMl37D5XyRbrgKD1JeDnKjwJhuGx8fz8bfZwiNARDKEF66dAkqlYr923SKdGb5+PHjcfv2bfZvtVqNy5cvi/4MtmLLl7OUpnaheNjWUKIShSH1tzRnzhyzGTbHjh0r+/xc39XFixfZa3fu3DmbRCFSipubm6gabsPPydW9i8+OHTvw119/8Y6lYmZPZjIwpse2dmZ00/tDbuF72rRpss5nrf3797P/f/nllzF79mw2LDJXK5lQX+xt27YZFaQsTcxVWFhoFFLYmueS4Rws2dnZkifEZNIq9t5j0hoVFWUxNGtxcbFgoAMuarWaNx+g5EDhBQsWsP83vP6ZmZkW372GhaydO3cajacwHL9h2pLAN8fOkSNHOKOfGbauuwqXLABwKSsrw40bN9CmTRuj5cXFxVi7di0mTpwoWPplVFdXQ6fToaSkBL/99hvOnz+P//znP7LOzYiJicHIkSMxduxYzJo1C3/99ZfFdGg0GlH/lB5sJCbMoVhBQUH48ssvOR/Q+/fvVzyDJ7YAxvXyKygo4N3edNZgLo6qSfrtt99k78t8L1evXsX9+/fZz8A8MOV85/n5+aK3TU5ONuovadpCIXcSGLHbajQaUXMXcLUAAcJRgcQQU5vKVTARGwYU4L93Dxw4IDhPgiX37983Khg5uibVGpmZmaiqqhKMxMN8D4bRuvii1ynRklRZWYk7d+5YNXHbsWPHjEJOcqVr165dkloGxRJqzTBNj5RnBvAo06ZWq40+D9e5lGqlXbp0KVsjD/zfOB3Td4aY54Gl1gq+bpGm+O4901maTY/34MEDs/ex4TlM36Gms7JLYVqRZQ0mc67Vao2+ezmhT61tRZs+fTru3btn1fPTWVg1CNiZxMTEQKvVmtVirV69GgEBAXjllVdEHWf16tVsBBoPDw9ERERg6NChss5dv359jBgxAk8++SQaNWqE3Nxc7N69GzNmzMDs2bPRu3dv3mNOmjRJVHrDw8NFzzzpCCdPnsTkyZMBPJqQhol3fe3aNbbGzd6Zhx07drD/Z2oA5Ewcxkfp2i+hMKBcBRex15MZVGrK0uBkIQkJCRgyZIjo8xs2zxrW8sgh9brv2rULsbGxnC8qoWvIhIns378//vjjDzRu3Nhu3zkXw9Yb4FE3NzGDEK3B1FgL0el0SElJwccff2zTtFjrv//9L/r27WvTc4j9TRp2YSgpKWHH74il0+mQnp6OXr16iZr869tvv8WsWbPQoUMHANKjVgmlQ8z4FTc3N8ljdUxxTTzF1NwDlq99dnY2KisrUbduXc71derUMWodYrpxjRs3Tm6SeZnOrit1ELBQUAy9Xo+PP/4YTz75pFGXZMPrY3j/3b59G2+88YaodNuL6fvOtKBpaSyMJcePH+dcznXd+VqG+SZIc0aKFwCys7Mxd+5cs8gqtrR582YkJydj8uTJRpF4UlNTcerUKSxfvlz0C3XMmDEYPHgwSkpKcOrUKfz444/QarW8tYB85waAjh07omPHjuzf3bp1Q3BwMD788EPExsYKFgBiY2NFhQHle2jJkZGRgYyMDFEDgMU2IVdUVGDv3r3s34bNavboZ87sa/iQ++mnn9j/G8aFd7VaTNNrImdyPq5+n0xhuaCgQFQUHtN0/Pjjj6LPL1QD7wrfB/M7kDsZmxT5+fnYsmWLxehQV65cEfUSsnV0lIKCApebHdiwckCu6upqlJaWomHDhkbLxVxvS4OAheLBM2bNmoV9+/ZZPW7BGvHx8WZBEa5cuWKW8VTiHpw2bRobdYtx+/Ztwdprw/OeOXMGaWlpeO655yxuy8cwM6hkVzdrowCZfq+XLl3CpUuXMHPmTM7tX3vtNaO/8/Pz0bhxY4vHP3v2LP71r38JnlsOvhYRvu45YloELl++zBnaFHj03ZnOEi8mfVwFj+rqaiQkJIiufHYExbsAVVVV2bVpZNu2bdi+fTveeOMNo4dAeXk5YmJiMGzYMDRt2hRqtRpqtZqNA65Wqzmb7Pz8/NC5c2cEBQXhvffew8svv4yNGzeipKRE9LmF+Pj4oE+fPrh586bgA6p+/fqi/ilZABBiWpsjtsbs4cOHRv1ehbraCNHr9YIx3E0JPSgN+z7bMpNpWJDi618sZvCo2LEZn332mcQUwqjbg+l5jh07Jjjomms/vV4vagA5Q+h7cmQBwJaTFMmlZCuV0pSqOXa0RYsWWX2MyspKzq47lroeXL9+HZcuXWL/FvptCPUB58sc8d2rcp/JQrjeba+//rrZsvz8fKPPLAXzefjeo0zLgDWDkS11uWMYdsVUKoqZVKahzU2JuQ5crSlizJ0712ichlhS4uYbVtyJ7T0wb948s2WXL18WHQiEcfr0aaOWKtOABlyzPufm5mLWrFmSzmNvklsADAexcDEdWGZL27Ztw9atWzF+/Hiz7jcqlQrFxcXYs2ePWWxt4FHXmX79+uHrr78WPEeXLl0QHx+PvLw8o5Kw0LktEVOL40jWhHuzZdhCayadszWugUiG/T1zc3Ph7++vaL96rkIpID9Tamk/sZFuXIGbmxuys7MV+wy2uhaWatCZPv6mA9eV/h1qtVrUrVvXqu5hNYXp72DNmjVm23Bl0IUmc3KkmJgYwdZoJRUUFMDPzw/Ao3s1Pj5e1nH0er3F7lFifpNiAj7o9XqjiGv2fG9LqfTiIuYarF+/XnA983mffvpps2g/zPHlBkBJSUnBqlWrjFre+Ma17d27lw2fzcf08xr2PhCL6/tNTEyETqeTVJtvKW/pDGQVAHx9feHhwb2rtTesWL/88gu2bt2KsLAwzsnIfH19OfsU79q1C5mZmZgzZw7nbIqmLl68CHd3d7Rs2VL0uYWo1WqcPn0aHTp0kDXJjD0YlrS5CD0IN2zYIPl8YvoTS2WaIRcTIYjZR6kHvGGz8IQJE/DFF1/wjie5dOkSOnXqJCk8pdgCgKUZDQH+z2yYAbVFJlfKtV6/fr1gKEmpXcri4uLg4+Mjeh8uu3btQkREhFVpEZKenm62jPkemLE1XLgGGFsTMz0sLAxvvfWW7FldnbWyg2EpdrfQvS+mr71USkdIM1VUVCQ6Eo61DPMEt2/fZgsAYgh1EeR7/pmaOnUqOymlaU0t1zXq37+/qEkrbYn5Pkx/x5a+J6EuQ1yf9cGDBzh79qyoNHFVRjDHfPjwoaj3w4wZM9C1a1d2bMGDBw/Mwg8bDriW2nrD14ffWpYi7ikdVtpeJBcAWrRogUmTJvH2Q83KyrL55BxxcXHYsmULevfujaCgILPQjoGBgfD09DSL6w88Ksm5u7ubrYuOjoa3tze6dOmCJk2aQKVSITU1FceOHcPo0aPZ2n8x52YsXrwYLVq0QOfOndGoUSPcvXsXcXFxKC4uduqQeJYerLaYBtwSa/s+inH9+nVs2LDBqLCnlLKyMsHr+uabb2Lt2rU4c+YMBg0aZLTO2geJ6ezJUnBljEwfevbK3G3cuFGwgkHJcSKWMH0+16xZg4iICJvPacDVXVHsi/vkyZMAYBQRRqrCwkJoNBpZM7cfOHDArD+8K5Pze1QqMyAUqciS559/nv3/l19+iaeeeor9W076hO55w9+iaQGZGURrqQbfzc3NbAZ1Pr/++qvFbbRaLVuDbfqs2LdvHzsGwFI0H7kzE/NF7uFi65ZJpmsM1zwEhqQ+Fy35559/OEOpOzu+68CMd6s1BYD27dsjKyuLtwCg9A3DhcmUnDt3jrPvqZy+aIGBgUhMTERSUhLKysrg5eWF9u3bIzIy0ihSiZRzt2vXDsePH0dCQgLKy8vRsGFDPPHEE4iMjJQ8CYuz0Ov17EAbazN+Uva3JoMldt/z588jPT3d6tmI+T7XkiVL8O9//9toYDhXfG5rr6uc399bb70l+mWr5LmlRG2wxXOF6SpjemxL5zKtfTdtArd2MKlQdyspYUABSI41LsR0kKAQJi1z5syRNIGUPcm5p7gm87IX03NXVVVxtsYHBQWZBa4wHCDp5uZmVCD8/PPPzY7x1ltvCaZFbuQksX3+lez+0qdPH6NCwvr1643GaKWkpKC6ulpUSNLY2FhZUbakzBshFlcUN0PWPjOtGUgutK9arca+ffvg5eUFALzzzpgew/T7kfP5KioqJLfw8L2TmfEzUkPZOgvJBYBXX31VsATcqlUrzJ8/36pEWSJmYCKfqVOncrZQhISEICQkRNFzjxkzBmPGjJGUPkZkZKTZTRoaGorQ0FBZx7MFrh+fmKgxjFWrVone1tLYE1N8E34Jqa6uhoeHh6wXj9gH0YQJEyxOAHXo0CGrQmLKfehLjfmsRIZcaNCZ1Ew5F+ZZ5e3tbbTc9IGuVqslFTIt3SOm0ZXEzCVhSEy3LWtZ22JiiSvUgImZkwWwvmJL6r6mEXL4+qoHBwejUaNGvFFNGJZqtU3H7i1dutQu96AQ02dDcXExW3ssdXI+vV5v9Hz79ddfzaLdXbx4kTMCDFe0Iqld4Ww1Sahptxypv2l7tN5y3ftMa9SMGTPg5uYmOtytUt3txH5uVwrpKYfkAkC3bt0E13t5eXF2vSHSREVFiQoDagvWPBSkZCKlREtQotaNK9NmWrOq0+msKsCePHkSTzzxhKhtL1y4YHSt+cJ4yo3MYC+2eomYvjj4MuhM/14u8+bNg5ubG+bPn4/S0lLB+1NofIEpW0fkEereI7UFgI/h92apDzxg3B/ZdMIhS6QU9u1JTsuinPtdTuFB7Hn4apYNzym1FUhqhYspayYoZJh+/pCQEMHfurXEjBNj8EVa4mPYr92WhIIGmPa1F8PNzU3wPhSahZe5bpZaL8VG+OO75rYsxLz88ss2O7YzqDEzARP7s+fAPiXOZekhU11djaqqKlmzHzL9XD/44APR+5g2sfO9dK2d3EQsS5kUvV4PlUoluJ2Scd+FWgAMJ+9iZjLlukfKy8tx8uRJjBw5EiNHjsTq1at5tz169CjvueWSM1MlF7H3v9zfia3H9cjJfNiDsw9OthVbf25rZpC1Famz8CpJqUHFlr4304g+hp/p+++/l3w+KbOdiylAXb9+nbN7pCMj5uj1eqMWGqFxTko9z52F1XdlSUkJli9frkRaSC2jRJg2Z+9mIDW0pq3Ow0fKwNCLFy/ixRdfZB+CXC9UwzkflGb4GblCnPF3pQAAIABJREFULwpFS8rJyYFKpeLMmFgT9tYSMYMTxXDkfW6vyG41jWE3FanfH19tam0tsChBTpcmpa63sx1HrKqqKsmzUTPEhFjNzs626jNxdc+Sw7AlkG9gtF6vd+q5WOSwugCg0WiQlJRk8ygYxH4s/aDsmRlhSuZ//vmn2Tq5DyZDQvHSlcj4cBWObXH9hKaAVwoz0Inpv6nk4FIuUscAiOmWwnWMb7/9VlrCTDhTbact7q2MjAxFo8Q4U5c2MZkHseEmTS1btkzWflycfUIhsU6dOmW3AqWl58dHH30k+h1ibSbTXi0Ajj6eITHPDCUqjOR8BsNnU3l5uVF8f67nFnMOMV0lGfZqubcGdQEisv3xxx9my5R6uYv5UY8cOdLqB5hQppEJn2gNqTMOKsFWE4GZDl42jAFtC6bpsdS9iCnMGXY3Me03yjzcDbcxbP6VM1jPHjOf2+JFLfaYliYK4sN3P40bN07W8ZQkttWnqqoKgwYNcnhLIzMGSql0OKolYf369TaZeZiLpQJAWlqaUeHOlt+xUtf71q1bihxHLmsKb3zdiYSujWG3TC5KvOtMB8AL9TaQMpbDmSqG+FABgEjG/EC4JmnhmrhIDlt0JeH6YQs1C9vjpc/3kLBmcjRHZ1aUIrZV0fQFYjgzt2nLiKUXsZQoVq6Cq6AOiC+4mc7+aS1nCJknNlT0ypUrzZbVhG44jnxG2KsftelnlBOGU6mw5kq1AKxbt07S9kp/z0LzBlgK5TlhwgTJ58vIyBBcL3dOBqnc3NxcokZfKslRgIh9ODIMqFCc5iVLltglypPYmnMpDzih7j7WHluuTz/9lHP5zp07rTqunEyK1MgutmZtv2mxDMdB1JTCkxiG3er27NkjuG1NyPQaEtuX9/fffwdgfF9cvXpV9HlOnjwp+556/fXXZe0nhpKD9SsrK7Fr1y7R20dHR4vaztp7zrQ1zzBwgFT27gJki9mllWD6uzG8LqatraZRgPhaL6zpPv7FF1/Ino+CD9fvtaY9/xhUAHBSjgwDKlQAKC4uZjNMzlAilvJylTr7stzQo5bSxEStUZJhWu2ViXVkZvnatWuy9rM0e+6kSZNkHTcoKMimIQoNa+ulRJpSiis0Z0vB3Lt8BXCGtXHA5X5XStRsCv0+lfw+Dxw4gKVLlyp2PKVI6a9ta1IzkIcPH7ZRSqwjJXQ3w5r3hNzxN9aoTeNZqQsQkY2rRC+1lt1aUh4uUl+qQuHAhFiqvf/ss89kHVeIYVOpXq+3S+bc2R6UztaCoSSxzeeu0ILhTIUJvgy+3N++Uix1fXAmd+7ccXQSbEqJ35SciSntYdSoUVbtX1xczLuOiYJVE57LphM71hRUACAA7DOQ0RacMcMjdZIYJZgOZKoJpBYwHJlpatu2rU2PzzXehktNeNk6g9dee82h51eiy4G9no18fb9twZYDiIW6flj7fTjinQAACQkJih7P9BpNnTqVd1umRVSJSTyFUJhi+RQpADhjJoxIs337dsn7WPu9O3uhQ24NN1fIUnurCX0WHflckXLuI0eOoEGDBjZMTc34Pp2JPVoqrXm+KdG65mwtdFJx/QbtXTCrqKhgZ4h3RUoHNRB6LvI9o2x97c6dO6fo8Vz9dyOF1QWAhg0bIjw8XLFR7sR1OEPBz5Zp2Ldvn6z9nCHKCbGOlHBvy5cvF4yOoQRL93lycrJNz1/TSI2mIoc13T5mzpzJuVxKn2ixkY6sZatnMFfGUcnBy2Iw4+FctQCgtJiYGMn7uFoNva1bLJyJ1bl2Hx8fhIeHK5EW4kByahhdrQDgDOm1B2dogVCC3DCgSpAS6cUZ2GJgOSFi2PO56ohnuCuHBlb6eskJvuBqhSfDGbxrOooC5KQcGQbUlUh5wNWWTNKRI0fw4osvOjoZVhP73cqJ700c6+HDh/D09HR0MogCbBn9ypQjCgBCUfGcnT0LL3wVMbWpS42rUawA8ODBA+Tk5MDf3x++vr7s8ry8PGzatAk3b96En58fwsPD0aVLF6VOW2M5MgyoK6GHC7ekpCRHJ8FqYl/2y5cvt3FKiNLGjx8vKXY8IYDr1SY7mtj5LmyJvjPnpVjH/V27duGrr74yuuHKy8vx+eef4/jx48jOzsbZs2fx9ddfu3STGiHEPmpLl63ayNFhNmuamhgFjNQMVABwXooVADIzMxEQEICAgAB22R9//IEHDx5g4MCBiImJwdtvvw2tVovdu3crdVqiEEsTJBFib1QAIEScb775xtFJILUcXxcgVxsEXJsoVgAoKipCy5YtjZadPn0aderUwTvvvIPHHnsMI0aMQPv27V1qkpPawlW70lAmsebasGGDo5MgWlxcnKOTQGoxChNrPXqXWIcKAK5HsQJAeXk5vL292b/1ej3+/vtvdOzYEY0aNWKXBwQEWD29OiEMemgTQgghzkluOG1ie4oVAJo1a2YU//zatWvQaDTo3r270XY6nQ4eHhR8yNm4ag0SFQAIcU1yQgoSbvQcJM6qoqLC0UkgPBTLiT/++OM4evQoTp48iR49emDHjh1wc3ND3759jbbLzs5Gs2bNlDptjWXvMKCuWgDo3Lmzo5NACJFhxYoV+OGHHxydDEIIqZUUKwCMHTsWJ06cwMKFCwE8qpHo3r07unbtym6Tn5+P7OxsvPTSS0qdtsaiMKDiNG/e3NFJIIQQQmo1V61ErM0UKwC0bt0a3333Hfbt2weVSoWOHTti9OjRRtucO3cO7du3R3BwsOzzXLhwAcnJybh8+TIKCwvRoEEDdO7cGePGjUOnTp149zt48CCio6Ph5eWFnTt3Gq3Lyspi5ypQqVTw9PSEv78/QkND8cILLxhtW15ejs2bN+P48eMoLS1FQEAAXnvtNQwcONDsnFK2JYSQ2iQtLc3RSagxKPNlPepGZR3DLuDENSjaGb9jx46YOnUq7/qhQ4di6NChVp0jPj4epaWlGDFiBFq3bg2VSoW4uDhMmzYNc+fORc+ePc32KSoqQmxsLJo2bQqNRmO2vqysDM2bN8fAgQPRrFkzaLVapKSkICoqCgUFBQgLC2O3XbBgAa5du4aJEyfC398fKSkpWLx4Maqrq/H8888bHVfKtoQQQogcFGmFOJparXZ0EohELjcad8qUKWjSpInRst69eyMiIgI7d+7kLACsXLkS3bp1g4+PD2etU/fu3c0GK/ft2xf5+flISEhgCwBnzpxBeno6pk2bhueeew4A0KNHDxQUFCA2NhYDBgxAnTp1JG/rDKgGiRBCXFNxcbGjk0AIcTGKRQGyF9PMPwB4e3ujTZs2KCwsNFt35MgRZGZm4t1335V8roYNGxpl0k+cOAFvb2/079/faLuQkBDcv38fV69elbWtM3DVAsC9e/ccnQRCCCGEEJficgUALmVlZbhx4wbatGljtLy4uBhr167FxIkTRQ0Wra6uhk6nQ0lJCX777TecP38e//nPf9j1t27dQkBAgFnNfbt27dj1crblotFoRP2rrKy0+LlqslWrVjk6CYQQQgghLsXlugBxiYmJgVarxdixY42Wr169GgEBAXjllVdEHWf16tVISEgAAHh4eCAiIsJozEJpaanZbMfAo5YCZr2cbblMmjRJVJrDw8Mxfvx4UdvWRK7ackEIIcR5cI0PJKQmc/kCwObNm5GcnIzJkycbRQFKTU3FqVOnsHz5ctGZxDFjxmDw4MEoKSnBqVOn8OOPP0Kr1ZpFM7KH2NhYUWFA69ata4fUEEIIITXXt99+6+gkEGJXVhcASkpK8PPPP+Pjjz9WIj2SbNu2Ddu3b8cbb7yBYcOGscvLy8sRExODYcOGoWnTpuzodCZSglqthoeHB7y8vIyO5+fnBz8/PwBAUFAQAGDjxo0YNGgQGjdujIYNG3LW3DPLmNp95v9it+VSv359u84D4Ko16RS6jRBCiLW0Wq2jk0CIXVk9BkCj0SApKQnV1dVKpEe0bdu2YevWrRg/frxZ1x+VSoXi4mLs2bMH4eHh7L+jR49Cq9UiPDwcS5YssXiOLl26QKfTIS8vD8Cj/vt37tyBTqcz2o7pz9+2bVt2mZRtCSGEEOI4VJlEahuX7AL0yy+/YOvWrQgLC0N4eLjZel9fXyxYsMBs+a5du5CZmYk5c+agUaNGFs9z8eJFuLu7s335g4ODcfDgQaSlpWHAgAHsdn/88QeaNm2KLl26sMukbOsMXLUFgBBCCLGWvSsxCXE0lysAxMXFYcuWLejduzeCgoJw5coVo/WBgYHw9PQ0i+sPAImJiXB3dzdbFx0dDW9vb3Tp0gVNmjSBSqVCamoqjh07htGjR6Nx48YAHnUL6tWrF1atWgWNRoNWrVrh6NGjOHfuHD799FOjiD9StnUGrloAoFobQgghhBBpXK4AcOrUKQDAuXPncO7cObP1+/fvl3zMwMBAJCYmIikpCWVlZfDy8kL79u0RGRmJF154wWjbGTNmYNOmTdiyZQtKS0sREBCA6dOnY+DAgWbHlbItkSc3N9fRSSCEuJjWrVsjOzvb0ckgToQqk0ht46a38q7Pzc3FlClTEBcXB3f3GjGtgENpNBqEhYXB39/f7HqGhoYiNDTUJuedPHkyzp49a5NjE0IIlzNnzjjkvEuXLsW2bdsccm7inOrVq4eKigpHJ4PUMI54xjH5yO3btwsGk3G5FoDaIioqyq5RgAghpLa4e/euo5NAnAxl/kltQ1X2BIDrjgEghBCpPDyo7osQUrspUgCgvnOEEEJcBb2zCCG1ndUFgIYNGyI8PJz6/7s4agEghBBCCKkdrM61+/j4cMbiJ4QQQgghhDgfqrYnAKhJnBBSe9DzjhBS2yk+Ekqn0+HUqVO4du0aVCoVHn/8cbz00ksAgKKiIqhUKrRp08bpJsJyNpGRkXYNA0oIIYQQQmoHRQsAGRkZiIqKwv3796HX6+Hm5gadTscWAC5cuIDly5fjs88+w7PPPqvkqWscCgNKCCGEEEJsQbEuQDdv3sTcuXNRUlKC4cOH4/PPPzdrZn3mmWdQr149pKWlKXVaohBHTchDCCGEEELsS7EWgF9++QWVlZX43//+h549e3Ju4+XlhYCAAGRlZSl1WkIIIUQSGgNACKntFGsByMzMxOOPP86b+We0aNEC9+/fV+q0hBBCCCGEEAkUKwBoNBo0a9bM4naVlZWorq5W6rSEEEKIJNQCQAip7RQrAPj6+uLOnTsWt7t16xZatGih1GkJIYQQSagAQAip7RQbA/Dvf/8bhw8fxokTJ/D0009zbpOYmIh79+7h1VdfVeq0NRaFASWEEEIIIbagWAFg7NixOHbsGBYvXozRo0ejX79+AICKigrcunULJ0+exI4dO9CwYUOMGjVKqdPWWBQGlBBCbINaAAghtZ1iBQA/Pz/MmjUL3333HXbs2IGdO3fCzc0NqampSE1NhV6vR+PGjTFjxgz4+voqdVpCCCGEEEKIBIpOBNatWzfExMTg8OHDSE9PR0FBAaqrq9G8eXP07NkTQ4YMgY+Pj5KnJIQQQkSpqqpCbm4uUlNTHZ0UQghxKEULAABQv359jBw5EiNHjlT60IQQQoggvV6PoqIi3Lp1C7dv38bt27dx584dVFZWwt3dHf7+/hSJjhBS6yleACCEEEJsraysDLdv32Yz+rdu3UJZWRkAoFmzZmjbti3atGmDXr16wd/fH56enuy+27Ztc1SyCSHEKVABgBBCiFOqrKxETk6OUUa/sLAQAODt7c1m8vv374/x48dTF1NCCBFJdgFAo9HAw8PDqFZFqocPH6Kqqoqi3XCgMKCEkNpAr9fj3r17uH37Nm7evInbt2/j7t27qKqqgoeHB/z9/dG2bVt07doVQ4YMQfPmzeHm5uboZBNCiEuTXQAIDw/HoEGD8NFHH8k++apVq3DkyBHs3btX9jFqKgoDSgip6aZOnQoAaNGiBdq0aYO2bduiT58+8Pf3h4cHNVATQoityH7C6vV6h8VSvnDhApKTk3H58mUUFhaiQYMG6Ny5M8aNG4dOnTrx7nfw4EFER0fDy8sLO3fulHXMZcuWISkpifccixcvRmBgIAAgIyMDM2bMsLgdIYTURsuWLXN0EgghpFayqorl0qVLWL58uVX7yxEfH4/S0lKMGDECrVu3hkqlQlxcHKZNm4a5c+eiZ8+eZvsUFRUhNjYWTZs2hUajkX3McePGYejQoWb7z5s3D3Xr1kXnzp3N1r355pvo3r270bK2bdvK+uyEEEIIIYRYw6oCQG5uLnJzc61KgJy+nFOmTEGTJk2MlvXu3RsRERHYuXMnZwFg5cqV6NatG3x8fJCWlib7mK1atUKrVq2MtsvIyIBKpUJYWBjq1KljduzHHnuMavsJIcRJPPbYY7h7966jk0EIIQ4juwAwf/58JdMhiWlGHXgUEaJNmzZshAhDR44cQWZmJlatWoVNmzYpckxDhw8fhpubG0JCQkR+AkIIIY7SsWNHKgAQQmo12QUA0y4tjlZWVoYbN26gR48eRsuLi4uxdu1aTJw4Ec2bN1fkmKbbpKamomfPnmjZsiXnNjExMVi0aBHq1auHwMBAhIWFoVu3boLn5uqmxKVu3bqoW7euqG0JIeT/Y+/M46qo/v//uuwgu6AgiyiKKC6E4JaouKWiaIYL7ltun7REyyW3Ms2iTHKjjxUtCprmUpriiuYW8rNUEjM1tzJNDQFBZbm/P/zO/dxl5t6ZuXOX4b6fjwePB3fmzHveM2eZ8z7nfd6HEDfzTBAEUZOoMWEWMjIy8PjxYwwePFjj+Lp16xAcHIw+ffpIJlOdo0eP4unTp+jRo4fOOTc3NyQlJaF58+bw9PTE7du3sW3bNsybNw+LFi1CTEwMp9yxY8fy0jElJQXDhg3jlVYfkZGRuHjxotFyCIIgCIIgCOumRhgAGzZsQG5uLiZNmqQRsef48ePIy8tDenq64BEfLpna7Nu3Dx4eHmjfvr3OufDwcISHh6t+R0VFoV27dpg2bRoyMzP1GgCZmZm8woBKNfofFhZGBgBBEARBEIQNIHsDIDs7G5s3b8bIkSPRt29f1fHy8nJkZGSgb9++8PX1RWlpKQCgsrISAFBaWgoHBwe4uLjwlqnNH3/8gcuXLyMpKYl3R9zd3R1xcXHYs2cPnjx5AmdnZ9Z0bm5uZt0HgKbECYKwFSwVwpogCMJakLUBkJ2djaysLAwbNkzHTae4uBhFRUXYsWMHduzYoXNtSkoK2rZti/nz5/OWqc3+/fsBAD179hSkN/PxoU43QRAEQRAEYW5kawBs2rQJWVlZGDJkCFJSUnTO+/j4YNmyZTrHt27dioKCAixevBienp6CZKpTUVGB3NxcRERECIrpX1paitOnT6Nhw4ZwcnLifR1BEAQhDTT4QhCErSNLA2D79u3YuHEjYmJiEBsbq+O7HhkZCScnJ9ZIRQcOHICdnZ3OOT4y1Tl16hRKSkowevRoTj3T0tLg7++Pxo0bw9PTE3/99Re2b9+OoqIivPbaa0IfmyAIgiAIgiCMRpYGQF5eHgDgzJkzOHPmjM7577//3uQy9+3bBxcXF8THx3PKDAsLw7Fjx7B3716Ul5fDw8MDzZo1Q2pqKiIiIgTrSBAEQRAEIRf8/f3xzz//WFoNggWFUqLVUHfu3EHdunV5pc3Ly0ObNm2kuG2No6ysDEOGDEFQUBDs7Ow0ziUmJiIxMdEk912wYAH27NljEtkEYQvUr18f169ft7QasiI/P98i901NTcXRo0ctcm+CsCUCAgLw999/W1oNi2GJNo7pR27evFlvMBnJZgBeffVVTJw4EV27duVM8/TpU3z66afIycnBzp07pbp1jWTFihUUBYggZERwcDAZADKBae+aNGmC3377zcLaEETNxd7e3tIqEBzYGU7Cj4qKCqSnp+P9999XhdxU5/Lly3j11Vexd+9e3jMFBEEQBGEq+G64SBCEOLQ9GQjrQbKcWblypcrnfdq0aTh37pzq3JYtW/DGG2/gzz//RPfu3fHxxx9LdVtCImgGgCCsgw4dOlhahRoP7QNAEOaBDADrRbKcCQkJwYoVKzBw4EA8ePAACxYswPr16zFnzhx8/fXXcHV1xdy5czF9+nTWzbcIgi+BgYG804aGhppQk5pNjx49LK0CQRAEIWOkdgFKTU2VVJ4tI6lpZm9vjzFjxuCdd96Bq6srdu3ahcLCQrRq1QqrV69G+/btpbwdISFyGhHr378/77Te3t4m1KRmM2DAAEurQBAmgW3GkzoWBCE9UnsXyGFNgb7okNaE5HMzZWVl2LdvH8rKyqBUKqFUKnHr1i3cuHFD6lsRhF5at26NevXqWVoN2eLv729pFWwSmjInCKKmIHWH3RoHK2fPnm1pFUQh6ZemoKAA06ZNw5EjR9CwYUN8/PHHSE5OxoMHD7Bw4UJ8+umnqKiokPKWNZbU1FRMnTpV42/37t0mu19NXAPw4YcfGmWJBwUFSaiN/DBXQyvGJbBRo0Ym0MQ8dOzYUeO3s7Ozxm8/Pz9zqkP8HzWxDSSEI6Qz16dPH1H3YDPyFy5cKEqWtWMLLt8eHh4av+UyiCNZGNAvv/wS27dvh1KpxMCBAzFixAg4ODggLCwMrVu3xooVK/D999/j7NmzmDlzJsLCwqS6dY1ETmFAu3fvjgMHDkiojTQY24ENCgrCn3/+KZE2BBcJCQmC96B4/vnncfnyZRNpZDri4+NRq1YtnePqZY06ouahYcOGllaBsEKaNm3KO2379u3xww8/CL6Hq6srHj16pHEsKSkJb7/9tmBZ1o7UMwByaB/DwsJw5MgRS6thEMnMlG+//RY+Pj545513MGbMGDg4/M+2iIqKwqpVq9CpUydcv34dM2fOlOq2hEQYU6l69+4toSaErSGm7FnjNDAfIiMjVf87Ojqq/n/uuedU/8v12eSEQqEQFEyAIKTEluq41B12Obw7ORgpgIQGQMeOHbFq1Sq0aNGC9bybmxtmzpyJWbNmwcnJSarbEhIht10x+U4rmquxmDJlilnuY06suaE1l25CQnIuXrzYYBq2qeE+ffrouAWZmyZNmlj0/taANZd3omZhS2VNfTCYLzExMSbQhNBGMgPgjTfegLu7u8F0nTp1wqpVq6S6LSERDx8+FH2tua1dOzs7Sf0Ke/XqZbQMufj8WSPW/DFUH6U3hI+Pj8E06nWF8fV/6aWX0L17d9XxgIAAARpaJ3FxcRq/IyIiLKQJUdPo2rWr6GtjY2Ml1EQ86m1es2bNLKiJ6ZH62yiH0XVr/qapY5FeCy1yI7Tx9PTknZZvA6BUKuHq6mownfYCHjHIoVGyddh87w0hZvTqzTff5DynUCjQt29fAMD48eNZ09SE3Wm16wPXs1oKLy8veHl5WVoN2dG6dWtLq4D3339f9LXDhg2TUBPxqHcQ69atqxMIwBiszcNCjAGg73sqh2+tUqnEyJEjLa2GQSQzAAoKCgT9ETUHKSrkiBEjJNBEl06dOplErjaWbpRo91jDiOm8SJ2vCoUC7dq14zy/evVqi8S5NvU9+cwOm5M5c+Zg/vz5GscsXYctxbJly3inteaILoMHD5ZEjtByMGHCBMH3SEpKUv1vZ2eH6OhowTK4kNKY4OLDDz/knZatbTHU3si9LlZXV8vCK0CyKEDz5s0TlGk7d+6U6taEhdGX797e3igqKjIoIz4+HmvXrpVSLQDGNSTMtZ988gkmTZoET09PFBcXC7pPaGgo7YFhJYgpC9qzQy+88AJycnJE62Doo2CpD9+wYcN0OsQ1GSGuXTWdnj17Yt68eZZWw2h8fX0lkSO0DoqZJWzVqhW2bNki6n5i0PftEkPdunV5p2Vr8+TewVdn8ODBaNWqlcaxqqoqWWxYJpkBkJCQwJqpSqUS9+7dw5UrV1BWVoY2bdpY3WiQNZKamqpTcRITE5GYmGghjUyLKeK6S+GH16xZM14jx1wNmjlGAVq2bGkSn0NTyHzllVewevVqo+Wo6zZ8+HBs3LjRaJnaTJ48Gffv31f9fvvtt9G7d2+DBoA+lzJr/fBpj+ya6p3KmUaNGkkSetbd3R2lpaUSaMROUlISvvvuO5PJlzMxMTHo1q0bDh48aGlVODl69KjkM9c+Pj68DYA6derg7t27etMI+TawfQOdnZ1RWVnJWwaDvb291bWhXbt2hbe3t8axqqoqWawDkMwAmDFjht7zJSUlWLVqFW7cuIEPPvhAqtvWWMy9D4A6Xl5eRi0KNhU7d+5E//79JZerr0HhuxmYtoyYmBicOXPGKL340r59e5w7d05vGkdHxxq7Cd+MGTNM0lmdMGECli9frvrNd9Mftg/egQMH0L17d41ywuara+6PW7t27XDq1Cmd47GxsUa909q1axujllXy6quvYtq0aUbLCQkJQWFhoQQasUN77OjSuHFj/P7773B3d0ebNm0sagBER0ejTp06qt9sHcX58+fjnXfeESXf2NmtunXrGjQAqqurecsTMxLONcPw008/Ydu2bYJkhYSE4ObNm4KuUSgUgjrw2u22kPdjSczmpOTh4YHU1FSUlZXhyy+/NNdtCRFs3rzZqOvVRy/4ViI+HR+hnQq2e3fp0oX3vYV0xrQ7fXFxcXjxxRcBmL4z1Lp1a4Pv2VoW3lvb6I0pYHtGZoRIvZxYwxTx888/bxK52p1QOeZ7y5YtDaZh6jgfEhISdI6pR3wyhVvS8OHDNaKcvfXWW6Jl5ebmsrYzbdq0ES3TGjF1Wf300091wlyq31PM/dW/MWvWrNGb1tAGVXy+2WJmANQHUAw9Y8+ePXnLNwTfb5/Y9jgyMlLnfVRVVcmizTPrKgUXFxdEREQgLy/PnLclLIi1VQK2houPjlOnTkVUVBTneWY0d8yYMSqZbm5uUCqVghbZacPHhSg8PNxgGj6dGW3MOYXJ1weZidwiRjdrK4tsmFtHtvc4cuRIwYs9a8KsrrYbopAdYfmQlpYGQPO0jrLmAAAgAElEQVSdZ2Zmqv7n2kNHH4Y2YdQuT8aUL23X3ZdeegkAdPyfpcRQSNxJkyap/td+NvW2U8hzm6sOcoWfViqVRm1SZyi6lb29PYYMGcJ5XrtNEBM9TR22QTdzuMYy5dXU3zHteqFQKKxicIcPZl+mXF5eblL/R8L8mCJk18CBA8WqA+DZiAjfcGhsOmpPv44bN07v1DoTeUHdbUuKD4mYBWZs8F13oz6SxNVwskWsMFbP4OBgg2lCQkJw8OBBzpCx6tPqckCsMSolbMbjq6++Kjg/tT/y5ohEIjXaexeYIy/8/f2Nup7NVUK7XDG/Dxw4YHQ9FTJSvXfvXqPuBTwLwCAWLnctawmTqW/Rfdu2bUXL5VNuhWy0ZWwHms1AFNpWi3kffL4pXGi/QyH1NC0tDdOnT5fFGgCzGgB5eXn49ddfUa9ePXPelhAIU/jFTu1OnjxZ9T9XJZg9e7Ze+cZGpcjJydG7hmLlypWq/9k6K8zojDEuTI0aNUJMTIzBBll7ARHD+vXrJWtE+Pok8um4saUREhaODT7Pqd4IsxkB3bp1M0oHMUgRvs+YD5WxmGIH4MOHD+uMMFrr7Iu+fUK0dWbKqHp+iXHbkapOc83SqA+wqT+DdjvDp33XNwKv/X609TGX2yGz/lD7vXLlrXY7oa/Ny8/P561HRkaG3vMNGzbkLUudMWPGIDQ0VNS1bBgyArkMSHWE+LizGant27fXe4122ZLSJQh4NpgkhDfeeEPnGFe77eHhYbH1m0KRzABIT0/n/Fu+fDmmT5+OpUuXorq6WpDfJGEe2DZI4esGoF1Z+ez6OWjQINSvX5+fchLCNGbqHR8pfG+ZaVL1xrJv3756N4Vi4OocPffcc7zvb87RBik7c0JGoj7++GPV/dmmWLkMKQZTdEL1uYVpwzWVLnVUNCGjZcw70X43Qjbm08bDw0M2YTaZd7V7927ONPv27dP4zbj5AeLcI7jqqlADlsuNgm8ABz55JKRdMcZthY2AgABeHSk+O3ADwKFDhwDovjdtQ8Xf3x8vvPACTy3/B9MWcM0UT506VbBMdeLj41X/64sSpFAodGY5mE7/qlWrBM8CqXf2mW+7erng4+5y6NAhoxbVqq9V4itHXzq2gRv1e/Jxa3vllVd07rV8+XKTDKqYCskMgIMHD3L+nThxAteuXYOfnx+mT59u1FbetkJqaiqmTp2q8afvI2Us6oWfCWPIjBANGjRItFwxHVNDfp+GOnKrVq0yqI8YHz2uacA5c+aw+jkKwZh3zAf1fNC3HkA9HVfeMR3tl19+2Sid1Gd5+HTOGYOUT5liovcI/ZBr++Ua0suYaA+hoaHo0aOH3jRCRiAZ+JRtQ+uwwsPDje6wqGOtMwAMbKOUjM5SxZc3hD6/bC6060JQUBCKi4tVZUChUHC+e0OuMIZCLvLN0ylTprAeN9R+7Nq1i3fnnoHLKFIoFLyNWh8fHyxdupT3PRkdmRkHT09PncEtKeqSkDp04sQJQbKFRtZRL3c//fSTwfTGDCjwYcOGDYLcirhCezMy1I18gP+77969u2pAR8jglqWQLAyovgrj6OgIHx8fQZtH2DrmDgPKFp5w6NChvBb3eXl5Sb7RCPBsROn27duCr+OzeI/Nl/WDDz7ArFmzBN/PxcWFVwMxefJkzmliLuNi+fLl+Pzzz2FnZ4fz58+zpuETskyoIebv7885UtS0aVPs3bsXo0aNwvr16wFoNnaxsbGiOq5CMPS+mY6A0DrEZ0G1OtrvdezYsbz3tGjWrBneffddQffjA5+yaO0dcmuE7Z0pFArUrl0b9+/fF91eScnOnTsxZcoUdOvWDfv27dNrDC5YsACHDx/WK4+PAWCoLHGdnzRpkqr9sLe3R1VVlV45gPBFz1IxdOhQ5Obm4u+//9Y5N3DgQAwYMEAyvUz1DL6+vmjWrBnrOTYXIxcXFzx58kRjkKN+/fq4dOmSSfSLiorCr7/+CkD4O4iMjISXl5dG+FIuGe7u7ujbty8WL16sqrsMbN/JpKQkdOzYUZA+AERdY24kMwDERDAQw9mzZ5Gbm4vCwkLcu3cPtWrVQuPGjTF06FC9H96cnBysXr0aLi4uqh34hMo8f/48p296WloaIiMjNY6Vl5djw4YNOHbsGEpKShAcHIzk5GTJN/mQAmManaioKOTk5Bj062MwFBaTqYTm3txKipCIffv2xbp16zSmAfl8KLn06ty5M3bv3o3y8nKj9BK6lsHLywvh4eHYt2+fjv8l23Po86XmgumcKJVKyQcHxNYxofVAewbgP//5j8bv9u3b4+TJk6J0MSdkEOjC9500bdoU9vb2GDp0KOdotyGk3N/k4cOHKjeUXr16aUQaUsfNzQ25ublG38/Six3Z8mnHjh0a+1uop9HWV3vWgE3erFmzkJSUxOoqq+2SqFQqVTJefPFFbN++Xe/otKH317x5c6P3LVAoFOjRo4fBCEHAsw5y7dq1UV5ejg8++AA7d+7E0aNHAQDvvvsuKisrjXb34jKm2di+fTuvdHxRf9+zZs3C3Llz9aavW7cuHBwckJaWhtdff92gTDlh9ihAxrJnzx7cvXsXSUlJWLRoESZOnIiioiLMmjULZ8+eZb3m/v37yMzM5JzKFSpz1KhRSEtL0/hj82dftmwZDh48iKFDh2Lx4sVo3Lgx0tLSJGl0LY32jI/YSsm2XoBLlikrWX5+vo5PrJhnYjqy6v6ahuDjZmIobBqXP6+fnx/y8/MxZcoUzJw5k7dOjF5sdUZfPvTu3Zt3BBhHR0fVs9evX1/vR4VrNoIrkoZ2ek9PT15rU4SGpzNUJoW6dRj7cfvwww8FLUxWKBTYtWsXr2gyfMjOzuY8t3jxYsHyLAlbXuzdu1djoEfMYAVbWikjWMXFxaF169aYM2cOgoKC9OpmaP2JofLIJzoK3zDLXCxYsID1ODOQxPZ82gs0pXBlEhM9iPkOGGpX9OlgrHspA98y6ujoiNGjRwN4NgClncdpaWm8Bmy0jQ31NS5C6ov2gl3m2pSUFN4y+GBoJp1tHw+5IzsDYPLkyVi6dCn69OmDFi1a4Pnnn8eSJUvg4eGhM7LPsGbNGkRFRXF+GIXKrFevHiIjIzX+tEdA8/Pz8csvv2DKlCno3bs3WrZsiWnTpiE6OhqZmZm8pjutGb475LJhqPIzjaG1bF6lzY4dO4y6XqhvYFVVlcEPyDvvvMO6aJh5l/7+/jp5Nnv2bI3fCxcuVP0v1thKTk7m3YnW7pDr+wiq+8qr68Y1pc2Gs7MzPDw8ZDEirw3fHWg7d+4s2N82ICAATZo0wYoVK8SopoG+PJR6sbOpYJ6hcePGOuf8/Px0ZnqF7hpq6tHCGTNmoHv37khOTha8n4M2QlyADD2XvkXHTIeTjX79+qn+l+LdiZWhLww0F1KFyDY2rdCBBT5rwQzRoUMHjd9CDBk+QQkMrRXk0lvMTHxNRbQL0IQJE0TfVKFQqHz/hMIW6cPV1RWhoaG4d++ezrnDhw+joKAAa9euxddffy2JTD6cPHkSrq6uOn5g3bt3xwcffIBLly5JvtGMNaJeoZjpUL5wdWSEVlJ1N5bhw4fj2LFjvBtE7Xt5eXkZDNuo3UHQ5u2330bfvn1Vv729vTUMyIiICI3OUnV1tcGIHR4eHqxuOGzXcb2/pKQkfPrpp3rT8IHt3S5dulQjIlJ8fDxvX3l99+DbqVQqlfD19UVYWJikEWqk/mBwlcvRo0frXdyujrV8xJ577jnY29ubfD2I1Li5ueHRo0cW2czHz8+P9zeHbxumno7PguaAgABWX3ch94+NjVX9n5CQgDVr1ogul2z3yc/PVy3w57sWQZvQ0FDcuHFDlE4MbG1u7dq14eHhgWvXrkGhUCAtLQ0tWrRAQUGB6PuouxUBz9zOGLccU8HXsAOAAQMGqAbG3N3dRe31pG/gyFR7N3A9m7Gbn8kF0TMAd+/eFf13584dKZ8Bjx49wpUrV3QWshQVFWH9+vUYPXq04NFkLpnAs3i//fv3x+DBg7Fw4ULVwhV1rl+/juDgYJ2PCDOKcP36db33Lysr4/VXUVEh6LnEwBZWjAs+PoaGGhSu8KBOTk6s8XgNwXz0kpOTWT+A6pEm1EfMuOKAG2LDhg0av7VDRWrL+eKLLzB48GDV76ysLPz3v/9V/a6urhY9kvTFF19w3leoLG0MjS6qL9jTdslhdAkICFBNMauvr9GOivTqq6+y3kO9XrPpPnXqVNVUcWJiIj7//HO9OsfHx+Ptt9/W0ZMLU478jh07VlB6oSxevFjSQAPLli3TiZGvPrgil9CgDMa6Y3GVWbZywBxjy3P1fVWMJTY2Fr169ULLli116iTTxjMjq9qdTkMolUpVBDn1YAdsI+diZne13ZmEdFD1rQHgwlCY6h9//BGdO3fWOT5ixAh89NFHyMrKQlxcHBISEiSZzVZ/Bra1CGzp1FF/bn0hk7XfK59IZ+p1+9ChQ+jUqROioqIwbtw4g9cySDFbxRZNT/25tWcltOnXrx++/PJLREdHqyLC8akDctn5VxvRMwDfffedlHoYRUZGBh4/fqzRiQKAdevWITg4GH369JFEppubG5KSktC8eXN4enri9u3b2LZtG+bNm4dFixZpuHaUlJSwTlExDWRJSYne+/P9+KekpOhtDKSidu3avCJc6Au72KpVK40ZgEaNGsHOzk4jqkBKSoqOr12zZs1w4cIF2NvbY/DgwZyL2gzh7++v0Rh8++23CAwM1Gi86tSpY/SokDZOTk4YNWoUZ8x4Q52w6upqjQbGx8cH//77L2s6QDOihrrBo/3hM6ZD5urqarBhXLJkCfbs2aM3zaJFi1T/t2vXTvX/7NmzNdzvuD6gzDOdOnVKx/+cGXlmDAxD+sbExKBBgwZo0KCBzoeC7wJ3QwiJmCLG5UAI6rNQUqC9WFw7jKRU71BKuPKDa0aN4dSpUwZ3Kx85ciTS09MF6aFdR5OSkjBhwgSDm0wJhWtm8OWXX8bp06d5y3nxxRf1xkzPycnRkM/w/fff876H2DVhxs6Effvtt3rPc5UPZlGwtosjH33Gjx8vaNZWH71791a1v9rvUD0MpnZfQ/teQkMd29nZiXIn7NKli8HwxMCzhe2miJ4GPPteMt9pxkDm40rk4uIiqN5YC5JFAbIUGzZsQG5uLiZNmqThUnD8+HHk5eUhPT1d8EgOl8zw8HCNMIFRUVFo164dpk2bhszMTEnjvmZmZvIanZNqVE3fO2rUqBGUSqVGh0zMojWmYjH3eumllwAAmzdvVqVJTEzUcKHx8vLCqFGjMGfOHMH3MwTbCI++hlb7XEhICG7evMmrfE2fPl24gv/HwoULYW9vjwMHDgB41rBnZ2fz2rFRH927d8c777xjlAw2hNQ3PusFDBkRgP7dLfv3729w5AeAxqyL9ggZl+uE0PclpXtO27Zt9cbgZsJS9ujRA/v371cdN8Yl58cff8Tq1as16izjNqbNkiVLYGdnp7q30AXW5oDLRWnPnj0ai9lXrVqlEelO6GZK6jRu3BhXrlzROMY12sq1oH7SpEnYsGGDpOVJzILmiRMnavxOSEjAkSNHVL+5Ir4Z+m4NHTpUr47qsIV01gcj4+2338aYMWN0rjFVRCw+HWl9UaT0PSfbucGDByMnJwceHh5GlRNzuBR26tQJgwcPxvvvvw9Afx7UqlWL1UWHT0dd36yW9nGhkenkGElNdIv85ptvclrIZWVlePr0qWil+JKdnY3Nmzdj5MiRGqNZ5eXlyMjIQN++feHr64vS0lKUlpaisrISwLOt0h8/fixIJhfu7u6Ii4vDtWvX8OTJE9VxDw8P1lF+5hgzE8CFm5sbrz9zGAADBw7E7NmzNTpIfA0AYz/6MTExkoTn5It6IzJz5kzOxZcHDhyQvMJzrYupW7euxgi4i4uLRmQERmdmCn/EiBGsctq3b48JEyaoojHom7bku1CbL9ob+gi5XjsKha+vr2r0jY8cLy8vo9Yb6INpI7imr4V2ToS4KnCNgjFlhXFfDAgIkGw2wdXVVWeTHK7gCt7e3qp1POrPJYdoQNp7e7Rv315nvQmTP15eXpxrUSIiInTaQB8fH50F+YwsZuaOWS/DVWYYV0s+nTNDm80xCF08yuYi6ejoyBnNi01Xrvj5hr6PQmF7jubNm0t6DwauPBF6XCzMs7Zo0QI//vijwRCihjwI+HSEhX4PtHcr134HYr+tQq5buXKl3vNidoOWG6J7Z+fPn8etW7dYz6WkpEg+ZalNdnY2srKyMGzYMB3Xn+LiYhQVFWHHjh1ISUlR/R09ehSPHz9GSkoK6wZX+mTqgym82tP3t27d0on2w/j+G/IvNDd8Ko6YGY6QkBDs27eP9z34jmqLaTSF+rTWr1+fM5yc+gixVCOb+vwy1Rk/fjy++uor1aIr5l0sWbIEgO5utgzOzs6YPHkyp4EAGM4jPvH+2WTExMTwWh/Chw0bNuDFF1+URJYhDL0PrlCEQjcUE8qECRM4ZwiZaBvMpnbTp0/njJCmj6FDh2qMeiclJQEwvsNijTMBYlEoFJg7d65GONqWLVvim2++Uf3ftWtXg3K0DQC+nXY+aPupd+vWzeDgVnx8POvMjlKp1BsO0dfXl3NwiK3czJs3TzWzqY6YBc76zulbR2GuASZ9nVxjBpNCQ0M12kP1doGZQdIn39Buy3zWoAhtExh3z7Vr12oc37lzJ6/rFyxYYHCvF0M68d2oS44j+3wxiQuQUqk06bTRpk2bkJWVhSFDhrDGgvXx8cGyZct0jm/duhUFBQVYvHixToQZQzK5KC0txenTp9GwYUONhbLt2rVDTk4OTpw4oRET/uDBg/D19eUVk9yc6PPjFENcXBxOnz6NpUuX8oo8wQbfqTpt+MahZ0Noue3duze6d+8u+n5icHJygrOzs2rUkdGZ+S1Fg8X2HpKTkzFnzhxs3LiR8zqFQqE3goIUuonZdMwQDRs21HteexG8oUgXb775JsaNG4f69esjOTlZEh3VYT7K+/fv5+wssg1M6EP7GWvVqoWAgADVDtRscviuVZKqs2ONMO0N877t7OxU5WnOnDm4evUqayeXDWaWmmtGoVatWkbPrvOJZ+7l5YWWLVuy5pU+V4sJEyZwnm/QoAGuXr2qcczOzo514ENslDau67jWn3Tq1AmvvPIKsrKyeN3PGISG/u7RowdnpED154yLi8OECROwfv16fPrpp0ZHzNEOa2vK+qr9rWBmxgzd01TfXCHhT2tCOya7NQDbt2/Hxo0bERMTg9jYWFy8eFHjfGRkJJycnFh3Jj5w4ADs7Ox0zvGRCTzbAMPf3x+NGzeGp6cn/vrrL2zfvh1FRUV47bXXNK6JjY1FdHQ01q5di7KyMgQGBuLo0aM4c+YMZs6caXWrxqVyEWAqxbp16xAbG6vhuiLUx9TR0VHUezJFB5FBu9L7+fmJcsP673//q+M/a+i9DBo0iHUkV+giLVMzd+5c7N69W28aYyM+AM8+kFLVI2bElo2goCCkpqZqHAsNDcWFCxcMyg0ODlatXxFiXCYkJBgMNwsYHr0TQtu2bTndBby8vFRx8dWfQ3vnYz5YS5hSKWB7Fu0yKcT1q6qqSjWCzrYPgTqvvfYa6tWrxxneWiz68kefIadUKjnrY/v27eHi4qJjAHDB5nai3TE1BJNW293E2dlZ5QapvVhV7A7iDA0bNuScyRVa7tVd/NiudXR0RK9evTB8+HAoFAp06NBB0CaAhjDVPgXqmKMt4Gsk1oQOvVBkZwAwq8TPnDmDM2fO6JwXEl1AqMywsDAcO3YMe/fuRXl5OTw8PNCsWTOkpqayjujPmzcPX3/9NTZu3IiSkhIEBwfj9ddfN7qRsRZatGihGh00BYsWLYJCoeDdwXZ2dtZYhyE1UjZWbO5UhuRrR8ZhMIUBwPdZ+/bti127dmkc0+7csy3iHTlypHjl/g9tH3hTNeC1atXSMSoNja4b+5FJS0sToCE7QsurQqHgdNNKTU1FYmKi0TrVJLjyklnIKORaJq9atWrFa22OUqnEiy++iPv37/NV1yDqrlliY+tLBeNupg7XGoXAwEDExcUBeNYp1g6NrR5djEnz3nvvsd6Xb/QarsXN+gYSuNppf39/Xt8t9ednykhUVJRqrc/HH39sUIaUeHp6qjZwk5NRL1RXpmzVRGRnABgT/mnGjBmYMWOGaJmDBg1ijTPLhaurKyZOnKgz0suH1NRUHV/ZxMREk32ExVTgzMxMjQ1fpEC9kROyECw/Px9KpdLoymrJaT++eaCtg7kMALZjixcvVhkAn332mcFN0BhMtbGLtRAVFWVVoZLFwrccGMKWRte0jSg+i2uZd9quXTudDquha6Xg0KFDqsg76iPtfH3sBwwYwDp4xpaWi3Hjxundp4NLRnR0NNatW4fbt2+jZcuWOt8AY98XW5Qo9fCmfPHx8WFdGzRz5kyj9bE0Qt7x8uXLda7jE4mJiRqoDdO/knqfm9q1ayMhIQHPPfcc72u04YqQZi3IzgCwFVasWCHpJj2mhsu9h23KmG1zNQDYtWuX4NBb2vc6dOiQ6OsN4e7uLsmGLlJuiBQQEKCx5iE1NRX16tUTLOfUqVNG68K1jkRIozt79mzO0TlDWNMolJ2dnah8kKpzxxYm1hjYXCoJ4SxatAiXLl2Co6Mj73UB5sDT09OosidF1J4GDRoYdX1gYCBnBCJroEOHDqzhiPm4MQ4dOhROTk6iv2+TJk3inLXQRkw5kNIorVu3Lus7mTt3Lmt69e8p15oV9T0R+OLt7c05E/vCCy/wemYpXbJMgVEGwKFDh1gLJNMR01dY+a72JmoOTIeEaxaFbeM0oWgv7tbGkF+1vk7TwIED0a9fP1F6MeTl5UkaBUXb/UbspnBMXHNfX1/8+eefGue8vb1RVFQkTkGBDBo0SLQBIAY2lwE+KJVKgxtBmRv1sMyNGzfG5cuXJZHbtm1bTqOdDz169JCkbls7AQEBBt07+/Xrhw8//BAA/6hf6mi3T8YEPOCSbSlDWuh9DbWj1jQgwIaQTnNKSopRG1Sy7VhsLFK8XzYZu3fvRkFBgdHy2IKPGIoEyDdPli5disOHDwtX0MowqifCRPsR80dYF3wL/meffcZ6XGjEESkRck9DH0x9ZdPe3l7Hv13Kj5Y11It169YZTOPh4SFqpiYyMlLUBnKm5OTJk3rP810QyYdGjRoZHIVjk8l3sMQUoYUVCgWnuwpf3n33XY2RWTm5AwkJXRsaGsrqQy7186q/f65oQcYiZg2AvnIRFRWlimijHhVPKOr3+PLLL0UPeNQErKEvZaq63KhRI96bZzIdfXVdevXqpTK0heytYmuIngGoCf6tBDdcjTTXdKUlK5Yxu3JqI+Q5TPlhtxSMgaOtS0pKCl5++WUAzxb+CtkkhZG1Zs0aAMD8+fNl1QnkEwqRT97p82/Wh/amUcawadMmyWQZQ4cOHXDixAlLq2EQQ5so8cHHx0eyEVhL15vk5GQoFArk5uYKCu06adIkALpx343B0GCCpRcyS01NeQ42tNtPFxcXjBw5ktPvXx02I9jBwYHX7JiYdpxBaFhXa6Tm7MhCSMpHH30kiRyhu0uKQYxPvSkaU2N9eq15zUft2rVV7lV2dnYGG9e3337bHGpZFFOUISllBgUFcfrNGoMUYXbHjRsngSbSM2DAAN6dAL7pPD09VaORQmSlp6ezbsJkqo4gn7Y6Pj6e9wZKpsAaBkmsCVOUBTH7lvDVw9nZmXcACEN7yujDHOWEDADC5uCK326owuXn55tsRIbvNLipGwUxPr3qBAcH4/Tp0xJpYxzGvqs+ffpIpIllYYs9rt4pk7pMSVk3XF1ddUbQpNDX2HJuzRi7EFUsbPlSp04dnTVN5ujY1K1bV7W/hFQuQAxt27Y1KJNr9rkmj4CLwdj3wbWux5Q7I+fk5JjMgGTKn3bUHu3NvaQqR9a2/44YKAqQlWItYUC1Nzhr1KgR69Q9n0plzCIzfeG0pNrEDBCumzV3AAnTMGHCBJNGmxLKqFGj8NVXX1laDUFYaznv27cv2rRpwyutlM8g5YZuYlm0aJEqko7QZxO72zQbXLPPMTExggw0mi2QFj4BMAwtgucarJOqLpnT7asmzACQAWClWEsY0BEjRugcY2vEnZ2ddRaGHjt2TDL/fGsMp2WtnRg+LFy4UBax+Pfu3WtpFXhhyc7G9OnTzW4AJCYmShI61trw8vIStPBXKoSuETBFeeNr+DCIWRyubwTWUHs6ZswYUethpG6npVqTYyojy1RozwyEhISo6gqjm5QR7vjQrFkzXqG5DZW5DRs2qNa48aUmGADkAkRIhnYsaC53IUugHX2Fq0EQ8mF1dHQ0e4MnFUlJSbx2HDUVfD9mUuy7YA5sbbTR19dXlH/u6tWr0b59e4t3ZuSKm5ubWd8dX39wU+sUGhoq2h9cSho2bGg1Icwt3eZ8/vnnrDs2m5OvvvqKc/8ZBvX3xFVOIyMjBZfhqqoq2bdjNANAALD86IKp4ft8b775po7bExfr1q2TNA63tWLsh8ZcZcvcZViOdcbSnQZml1tjYprbMi4uLigtLTXb/fTtgmrO8r9t2zbR10qp5zfffCOZLLmjPrvPtCtPnz61lDoq9EX2GTx4sMZu9ca0h1VVVbIdAGQgA4AwO9bccRKyQMkSiyFrSvhday4DYqhpz2NqDG3YV5OxtBEmBL7luk2bNrzbQ3PVlYiICLPcR66YIh/u3bsnuUwxcD2bq6srZ/jYZcuWITw8nPc9qqqqeO3ibM2QAUBIhtgPm7l8bq3twxsRESF4U5x69erxShcZGYmLFy+KUQuA9b0rU/LDDz+IvpYWgRNiqGn53KZNG8FrCExNdHQ0nJ2da8y79vPzYw0Law0w79iSbr9sbXGDBg14j9ILjU5UXV0tewNA3vMXhGRI1R/MOecAACAASURBVJER09hKsdmOIdT1WrlypVX4k2ZlZWHKlCkmkT1hwgSTyGVjy5YtgtLv2LFD0shN2hiKRKGNte1ObEqELvweO3Yspk6daiJtCCGMHDnS0ioYjTUPLPj7+1taBb24uLiYtV0Xg9igH7Nnz5ZYk2ds2bJFwwCQsvzRDABhMswdBpShbdu2JpVvDVhyIxtzER0djffee0/09UIaSqGx04ODg4WqwxsPDw+sWLHCZPJNjSlHK0+cOCHYACA3Cm46duwo2fvhU9+MiajWsGFDUddZ+2Z3UmKtetkC2hEExcDkX58+fXS8CkyRt2QAECbDUmFA16xZI/patk2T2AgJCRF9D3OQlZVlaRWMxtvbG926dRN9vTWP1JmTnj17soag1X4/cug8WFPYVzm8L0O88cYboq6zxLNby+JVc7crbdq0kSxsp7VRE9ro2rVrIyYmRlKZAwcOlFQeF2QAEIQIAgMDzX7P2bNnc+58qA2NempSEzprYjF3FBR9MidMmICQkBAsWrRI8vsSlsXSGxByERwcjJUrV7JGRhMbAYWrjPv7+6N58+aiZHLBtalYTcGYNsjSBsSoUaMQGBiI//73vxbTwZh3UF1dTVGACILB0g2KPrp06WJpFWSFNeelNWCJ98MsADx79qzZ7y01tmxUyqluOTk5sbpM1qtXT/I8jI2NxRdffCGpTCHYcpk0hJ+fH+cuvmKZPn26pPK4MFV9oxkAosYg9VbcBGHN1K5d2+gwrpbyj543b57Osfz8fMl10Yejo6NVbfQnd6x9V9iXXnrJrPcjrItdu3ZZfWfX3IZ1VVWVUetyrAF5a09IhpxGpQjT8vLLL0u238Arr7xitpjvXbp04b2+pGnTplb/QbNmxo0bhxEjRoi+ngYKNDGm/Q0LC8O1a9ekU4aFuXPnmlQ+YX701cEOHTpoDJAY6uhaS31m00OfbsboXVlZSS5ABEHUPKQyCMeMGSP4mu7du4u6V3BwsEkjDKlj6wazi4sLzQCYGfXOinr5GzRoENLS0iyhkmBSUlLI8JYBDRs2FB05ytowVVtNawAIk2GpMKDmwNY7T4R+li9fbvJ7SDFiJfWo17hx4yyyQJ6QF9Yy2iqG9u3bW1qFGkNKSgqaNGkimbyOHTvi2LFjRsmw1rJpCr1qwkZgZABYKZYKAyoU9U28Jk2axGtTJakMgISEBBw+fFgSWYTtIaUhKsUHxpY23LLWjoI5YCt3fMuiNQ2e2HIeWgNskZmMwdXVVfS1ci0LxtSnyspKWgNgCc6ePYvc3FwUFhbi3r17qFWrFho3boyhQ4eiUaNGnNfl5ORg9erVcHFx0dm9lK9MIfc+f/4864I9AEhLS0NkZKQRb8E6UN9wo2vXrryuqa6uNpU6hEDGjRuHvXv3ahxzdnaWhfFpSRYuXKhR9q2pY0ZYP1J2mCzR+aLyLn9CQ0Nx/fp1SWUasy7IVDBl1cPDQ9JIRvHx8WjcuLFk8iyBLA2APXv2oKSkBElJSQgJCUFxcTG2b9+OWbNm4a233kKrVq10rrl//z4yMzPh6+uLsrIy0TLF3HvUqFFo0aKFxrH69etL9DbkR1VVlaVVIP4Ptg/58OHDkZycbAFt5ENUVBQA4NatWwBQI4x5wjIEBQUJ7pio11vqjEvDnTt3LK2CWXF3d9fYhMuYcqTeybYUjRs3Rr169VjPKRQKybwFmAXxHTp0kESeJZGlATB58mSdEH4xMTGYOHEitmzZwtoJX7NmDaKiouDu7o4TJ06Ilinm3vXq1bP6DoI5RpGYEVOpDQD6ABqHdt47OjrC0dHRQtr8D3OHtjSGGTNmWFoFQqbs3LmTd1qFQmE17hbWogchDcZ8R62hLLzzzjtmuU+3bt3Mch9zIMslzGzxu11dXREaGop79+7pnDt8+DAKCgowZcoUo2UKvbdcMEcn2tfXF4B0LkDU8TceW32HUj03I8caPoBEzYet3JILECEFNTVPu3btitjYWEurYZXIcgaAjUePHuHKlSto2bKlxvGioiKsX78eo0ePhp+fnyQyhabLyMjA+++/D2dnZ0RGRmLIkCEqFwIu2NyU2LCW0Vq+fPLJJwgICJBUJnW+CDFQubEcTk5OllbBYogtd1ReaxaUn+bBGtclWAs1xgDIyMjA48ePMXjwYI3j69atQ3BwMPr06SOZTL7p3NzckJSUhObNm8PT0xO3b9/Gtm3bMG/ePCxatEjD/06bsWPH8tIxJSUFw4YN45XWGmjdurVkspgGtKaOXJgDpVJpkx8ihUJB5caC1KlTx+iQg3JFTLnLz8/HunXrjJIhNbbYbtRkrKFMmZuoqCi9niHabNiwQSP4g9ypEQbAhg0bkJubi0mTJmlE4jl+/Djy8vKQnp4uuLHikikkXXh4OMLDw1W/o6Ki0K5dO0ybNg2ZmZl6DYDMzExekVjkNPovFW3atIGLiwsuXbpkaVVkD59Gf8yYMYiOjjaDNvKFOkPCoY3ExGENZc0WO4sEN9ZQJsUQEhKC8ePH805v7Ws5hSJ7AyA7OxubN2/GyJEj0bdvX9Xx8vJyZGRkoG/fvvD19UVpaSmAZ7FbAaC0tBQODg6sHyEumWLTqePu7o64uDjs2bMHT548gbOzM2s6Nzc3CsXIQbNmzdCsWTOsWbPG0qrIHj4zADSFahi5fgAJ+ZCYmIiYmBi8/vrrllaFqIFIYdRROygvZG0AZGdnIysrC8OGDdNxvykuLkZRURF27NiBHTt26FybkpKCtm3bYv78+bxliknHBi0cJKwJKofGI/QdZmdnm0gToqYSGhqK0NBQGn0nTAITpIOwHWRrAGzatAlZWVkYMmQIUlJSdM77+Phg2bJlOse3bt2KgoICLF68GJ6enoJkCk3HRmlpKU6fPo2GDRta1UI4T09P1hCmBEFww3TGgoKCBF0n9w1kCIIwDjs7O4wbN87Saqh46aWXsG3bNlHX0iCSPJGlAbB9+3Zs3LgRMTExiI2NxcWLFzXOR0ZGwsnJSWfzLQA4cOAA7OzsdM7xkSkkHfBst19/f380btwYnp6e+Ouvv7B9+3YUFRVJvo23sXh7e+Ozzz6ztBqCqEmLcQjzIvXiZ+3BBILgwtgRfO1ya6nOF3X6jEOhUGDq1KkW1UG9LFJ+2h6yNADy8vIAAGfOnMGZM2d0zn///fcmkynk3mFhYTh27Bj27t2L8vJyeHh4oFmzZkhNTUVERIRgHQlNhg0bhpUrV8oqCpK1YcvuBPTBIyyFlGWPdlYnxEDtHyFLA+Ddd98Vfe2MGTNYd+3kK1PIvQcNGoRBgwbxTq9Oamoq7Ow092lLTExEYmKiKHk1Eeb9xMfHW1gT+UJhQAlC3rRt29bs9/T19aUgFYQOtvgtkTOyNABsgRUrVlADS5gcWzUACKKmEBISAgBmHRxav349HByo+1CToAER24NqMEHYMGQAEIT8YOusPffcc2a7P+3hUDOgTr9tQwYAQdgw4eHhePz4saXVkC30ASXMDRnshBRIuZjcFjckrQmQAUAQNsyAAQMwYMAAS6tBEDZDXFwc6tSpI7nc0NBQyWUStoMxgxmM8UDGqbywM5yEIAiiZkEj94SlSEhIwJgxYySXGxMTI7lMW8Le3t7SKsiWbt26WVoFQgQ0A0AQBEEQhE2TkJBgaRXMSq9evVBcXCyJLAprLk/IALBSKAwoQZgOmqomCEKdadOmWVoFs9K+fXtLq0BYGDIArBQKA8qPH3/80dIqEARBWAwyZgmCEAOtASBkjaurq6VVIGwYWktAEERNQIq2jIxReUEGAEEQBEHIhJdffpkW/BJWSUBAgKVVIARALkAEQRAioREvwtyMGDHC0irUSGy9Lkvx/H5+fhJoQpgLmgEgCIIQCbkAEQRREzC2LaMwqvKDZgAIgrA5xo8fb2kVCEISbH3kmrAOfvrpJ0urQAiEDAArhcKAEoTpaN68uaVVIAiCIAiLQQaAlUJhQAmCIAiCIAhTQGsACIIgCIKwaciVirA1yAAgCIIgCMKmoQX9hK1BBgBBEARBEARB2BBkABAEQRCETCHXFWmg90jYGmQAEARBiITcBgiiZkBx7Albg6IAWSkUBpQgCIIgTE9ubi7c3d0trQZBmBUyAKwUCgNKENYPuQ0QhPyhzj9hi8jOADh79ixyc3NRWFiIe/fuoVatWmjcuDGGDh2KRo0acV6Xk5OD1atXw8XFBVu2bBEts7y8HBs2bMCxY8dQUlKC4OBgJCcno1OnTjr3FJKWIAj5QS5ABEEQhByRnQGwZ88elJSUICkpCSEhISguLsb27dsxa9YsvPXWW2jVqpXONffv30dmZiZ8fX1RVlZmlMxly5bh999/x+jRoxEUFIQjR44gLS0N1dXV6NKli4ZcIWkJgiAIQig0C0VIAQ1m2B6yMwAmT54Mb29vjWMxMTGYOHEitmzZwmoArFmzBlFRUXB3d8eJEydEy8zPz8cvv/yCWbNmoXPnzgCAli1b4u7du8jMzER8fLxqIZGQtARBEARBEARhLmQXBUi7ow4Arq6uCA0Nxb1793TOHT58GAUFBZgyZYrRMk+ePAlXV1d07NhRI2337t3x4MEDXLp0SVRagiDkiZ+fHwYNGmRpNQiCIAhCELIzANh49OgRrly5gtDQUI3jRUVFWL9+PUaPHg0/Pz+jZV6/fh3BwcE6I/dhYWGq82LSslFWVsbrr6KiQtBzEQQhHR4eHpg9e7al1SAIgiAIQcjOBYiNjIwMPH78GIMHD9Y4vm7dOgQHB6NPnz6SyCwpKUFAQIBOWg8PD9V5MWnZGDt2LC89U1JSMGzYMF5pCYIgCIIgCEL2BsCGDRuQm5uLSZMmaUTsOX78OPLy8pCeni54kRSXTHOSmZnJKwyoo6OjGbQhCIIgCKKmQovJbQ9ZGwDZ2dnYvHkzRo4cib59+6qOl5eXIyMjA3379oWvry9KS0sBAJWVlQCA0tJSODg4wMXFhbdM4NnoPdvIPXOMGd0XmpYNNzc32geAIAiCIAiT06RJE+zatcvSahBmRLYGQHZ2NrKysjBs2DAd15/i4mIUFRVhx44d2LFjh861KSkpaNu2LebPn89bJvDMf//o0aOoqqrS8O1n/Pnr168vKi1BEARBEISlUCgUrG7LRM1FlgbApk2bkJWVhSFDhiAlJUXnvI+PD5YtW6ZzfOvWrSgoKMDixYvh6ekpSCYAtGvXDjk5OThx4gTi4+NVxw8ePAhfX19ERESISksQBEEQBEEQ5kJ2BsD27duxceNGxMTEIDY2FhcvXtQ4HxkZCScnJ7Ro0ULn2gMHDsDOzk7nHB+ZABAbG4vo6GisXbsWZWVlCAwMxNGjR3HmzBnMnDlTY6RfSFqCIAiCIAiCMBeyMwDy8vIAAGfOnMGZM2d0zn///fcmlTlv3jx8/fXX2LhxI0pKShAcHIzXX38dnTp10rlOSFqCIAiCIAiCMAcKJe3/bFWUlZVhyJAhCAoKgp2d5jYNiYmJSExMtJBmBEEQhDUSGxuL/Px8S6tBEIQVwPQjN2/erDeYjOxmAGyFFStWUBQggiAIgiAIQnJqxE7ABEEQBEEQBEHwgwwAgiAIgiAIgrAhyAAgCIIgCIIgCBuCDACCIAiCIAiCsCHIACAIgiAIgiAIG4IMAIIgCIIgCIKwISgMqJWSmppK+wAQBEEQBEEQkkMGgJVC+wAQBEEQfDh48KClVSAIQmaQCxBBEARByBgvLy9Lq0AQhMwgA4AgCIIgCIIgbAgyAAjJqaioQFZWFioqKiytCsETyjP5QXkmPyjP5Anlm/ygPDMMGQCE5FRUVCA7O5sqnoygPJMflGfyg/JMnlC+yQ/KM8OQAUAQBEEQBEEQNgRFAbJSKAwoQRAEQRAEYQrIALBSKAwoQRAEQRAEYQrIBUhG7N69WxYyTYmp9CW5pkNu70Buck2B3N6B3OSaArm9A7nJNQVyewdyk2sKatI7IANARpABIL/KJze5pkBu70Buck2B3N6B3OSaArm9A7nJNQVyewdyk2sKatI7IAOAIAiCIAiCIGwIMgAIgiAIgiAIwoYgA4AgCIIgCIIgbAiKAmRlKJVKAMBrr72mEwa0tLQUZWVlkt6vurpacpmMPKnlAqbRl+RSnslRLuWZ/ORSnslTrqnyTU7vQG5ybTnPGDlMf5ILhdJQCsKs3Lt3D2PHjrW0GgRBEARBEIRMyczMhJ+fH+d5MgCsjOrqajx48ACurq5QKBSWVocgCIIgCIKQCUqlEuXl5fD19dXxJFGHDACCIAiCIAiCsCFoETBBEARBEARB2BBkABAEQRAEQRCEDUEGAEEQBEEQBEHYEBQGlFBRVlaGzZs34+rVq7h69SqKi4uRkpKCYcOGaaS7evUqvv76a1y7dg3FxcVwcnJCUFAQEhMTkZCQoJH2/PnzmDdvHuv90tLSEBkZKSgdoYkp8ozh119/xZYtW3Dx4kVUVFSgdu3a6Nq1K4YOHapKU15ejg0bNuDYsWMoKSlBcHAwkpOT0alTJ5M+t5yxZJ5RPROHKfLso48+wqFDhzjvqZ4fVM+EY8k8o3omDlO1jVeuXEF2djZ+//13lJaWwt/fH507d8aLL74IFxcXVTpbq2dkABAqSkpKkJOTg7CwMLRr1w779u1jTffo0SP4+fmhU6dOqF27Nh4/fowjR45gxYoVuHv3LoYMGaJzzahRo9CiRQuNY/Xr1xedjniGqfIsNzcXH330ETp27IjU1FS4uLjg9u3bePDggUa6ZcuW4ffff8fo0aMRFBSEI0eOIC0tDdXV1ejSpYupHlvWWDrPAKpnQjFFng0dOhS9e/fWkbFkyRI4OjqicePGqmNUz4Rj6TwDqJ4JxRR5duPGDbzxxhsICgrChAkT4OnpiV9//RWbNm3ClStXMH/+fFVaW6tnZAAQKurUqYPs7GwoFAo8fPiQs/K1aNFCp1Fr06YN7ty5g71797IaAPXq1eM16sE3HfEMU+TZ/fv3sWbNGrzwwguYOnWq6njLli01rs/Pz8cvv/yCWbNmoXPnzqo0d+/eRWZmJuLj42Fvby/Vo9YYLJlnDFTPhGGKPAsMDERgYKBG2vPnz6O4uBhDhgxR1R2qZ+KwZJ4xUD0Thiny7MiRI3j69Cnmzp2ryrtWrVrhwYMHyMnJQWlpKdzd3W2yntEaAEKFQqEwau8BDw+PGldBrB1T5Nm+ffvw+PFjJCcn67325MmTcHV1RceOHTWOd+/eHQ8ePMClS5dE61WTsWSeEeIwV9u4f/9+KBQKdO/eXXWM6pk4LJlnhDhMkWcODs/Gud3c3DSOu7u7w87OTnXeFusZzQAQoqmuroZSqURpaSmOHTuGn3/+GZMmTWJNm5GRgffffx/Ozs6IjIzEkCFDEBUVJTodIQ4+eVZQUAAPDw/cunUL77zzDq5fvw4PDw+0b98eY8eOVTWk169fR3BwsE6DGxYWpjrftGlTszxXTUbKPGOgemZahLSNDI8ePcLx48fRqlUrBAQEqI5TPTMPUuYZA9Uz08Inz7p27YqdO3di3bp1GDNmDDw9PVFQUIC9e/eiT58+qjUAtljPyAAgRLNu3Trs3bsXwDMre+LEiTr+kW5ubkhKSkLz5s3h6emJ27dvY9u2bZg3bx4WLVqEmJgYQekI4+CTZ/fv38eTJ0+wfPlyDBo0CC+//DJ+//13bNy4EdevX8d7770HhUKBkpIS1o+eh4cHgGf+nITxSJlnVM/MA5880+bo0aN4+vQpevTooXGc6pl5kDLPqJ6ZBz55VrduXaSlpWHZsmV4+eWXVcf79eun8dsW6xkZAIRoBg0ahJ49e+Lhw4fIy8vDJ598gsePH2PgwIGqNOHh4QgPD1f9joqKQrt27TBt2jRkZmaqGkK+6Qjj4JNnSqUST58+xahRozBo0CAAz3wuHRwcsH79epw9exbR0dGWegSbQ8o8o3pmHvjkmTb79u1TzdoQ5kfKPKN6Zh745NmdO3ewZMkSeHt7Y86cOfDy8sKlS5ewefNmPH78GNOnT7fgE1gWMgAI0dSpUwd16tQBAMTGxgIAvvrqK3Tr1g1eXl6c17m7uyMuLg579uzBkydP4OzsbFQ6gj988owZ8dD+SLVu3Rrr16/HlStXEB0dDQ8PD9ZREeYYI4cwDinzjA2qZ9IjtG38448/cPnyZSQlJcHR0VHjHNUz8yBlnrFB9Ux6+OTZl19+ifLycnz88ccqdx9mZiY9PR0JCQlo0aKFTdYzWgRMSEZERASqqqrw999/G0yrVCoBwOCCH77pCHGw5Rnj86iNdl6EhYXh1q1bqKqq0kh3/fp1ABTuzlQYk2dcUD0zLYbaxv379wMAevbsqXOO6pllMCbPuKB6ZlrY8uzq1asICQnRiPcPQBWy9caNGwBss56RAUBIxrlz52BnZ8fqR6dOaWkpTp8+jYYNG8LJycnodIR42PKsQ4cOAID/9//+n0ba/Px8AECTJk0AAO3atUN5eTlOnDihke7gwYPw9fVFRESEKVW3WYzJMzaonpkefW1jRUUFcnNzERERwdrJoHpmGYzJMzaonpketjyrXbs2bty4gfLyco20Fy9eVJ0HbLOekQsQoUF+fj6ePHmiqiw3btzA8ePHATxzJ3BxccHq1avh6uqKiIgIeHt7o7i4GMePH8ePP/6IgQMHakyXpqWlwd/fH40bN4anpyf++usvbN++HUVFRXjttdcEpyN0kTrPYmJi0KZNG2zatAlKpRJNmjTB77//jk2bNiEuLk4VxSI2NhbR0dFYu3YtysrKEBgYiKNHj+LMmTOYOXMmhYTVg6XyjOqZeKTOM4ZTp06hpKQEo0ePZr0v1TPxWCrPqJ6JR+o8S0pKwtKlS7FgwQL0798fnp6e+O2337B161aEhISgdevWAGyznimUzJwUQQAYP3487t69y3ru008/Rd26dXHgwAEcOHAAN2/exKNHj+Di4oIGDRqgZ8+eOttwb9myBceOHcOdO3dQXl4ODw8PNGvWDMnJyRoWNd90hC5S5xkAPHnyBNnZ2Thy5Aj+/fdf+Pr6okuXLkhJSdHwdy0vL8fXX3+tsXX6oEGDauzW6VJhqTyjeiYeU+QZACxYsAAXL17El19+qROulYHqmTgslWdUz8Rjijw7d+4ctm7dimvXruHRo0fw9/dHXFwcBg0aBE9PT1U6W6tnZAAQBEEQBEEQhA1BawAIgiAIgiAIwoYgA4AgCIIgCIIgbAgyAAiCIAiCIAjChiADgCAIgiAIgiBsCDIACIIgCIIgCMKGIAOAIAiCIAiCIGwIMgAIgiAIgiAIwoagnYAJgjAL/fr1E5S+Tp06+Oyzz3Dnzh1MmDABzZs3x7vvvmsi7ayHmzdv4qeffsLPP/+Mv/76C0VFRXB3d0fTpk3Rv39/1a6+higoKMC8efOgVCrRq1cv/Oc//9FJM3fuXBQUFHDKWLx4sWqnTAY++diyZUssXbpU53hhYSE2b96M3377DZWVlQgJCUFiYiK6devGKevevXvYuHEjzpw5g5KSEvj7+yM+Ph6DBw+Gk5MT6zVPnz7Fli1bcPToUfzzzz/w8PBATEwMhg8fDj8/P4P6Mxw4cADp6emq37Vq1cKmTZs00rC9DwcHB3h7eyMqKgrJyckICwtTnTP0ztlgNkBiNklifjNob55kZ2cHNzc3eHl5ITw8HDExMYiPj+d8X2Jh7vv9999LKldKSktLkZKSonFs2bJlaNGihYU0IgjrgAwAgiDMQteuXXWOFRYW4vbt22jQoAEaNGigcU59h0ZbYsGCBbh//z7c3NwQERGByMhI3Lx5EydPnsSpU6cwfvx49O/fX6+MiooKrF69mvc9O3ToABcXF53jtWvX1jnGlo8M+fn5KC4uRrNmzXTOnTx5EsuXL4dSqURUVBQ8PT1x9uxZrFy5En/88QcmTJigc83t27fx+uuv4+HDh6hfvz6aNWuGy5cvY/PmzTh79iyWLVumsTM18KzzP3/+fBQWFsLX1xdt27bF3bt3ceDAAZw+fRppaWkIDAzk81pUMOXT2dmZM436eykrK8Ply5dx5MgRHD9+HG+99RZatmwJAIiJiUGdOnV0nrOwsBDe3t6IiYnRkc2WN2yo52NZWRnu3LmDY8eO4ejRo/jiiy/w6quvIjY2lpesmoKDg4Mqb5j2hiAIMgAIgjATM2bM0Dn20Ucf4fbt22jXrh2GDRvGel3t2rWxdu1avZ2vmkRISAjGjh2LDh06aHRu9+zZg7Vr1+Lzzz/Hc889h9DQUE4Zmzdvxl9//YUePXpg3759Bu85btw4jRFlfbDlI/BspPXHH38EACQkJOicS09PR3V1NebOnYsOHToAAP7991/Mnj0bO3fuRJs2bVSdZIb09HQ8fPgQ/fr1w8SJEwEAVVVVeO+993Dy5El88803GD58uMY133zzDQoLCxEZGYm3334brq6uAIAdO3bgs88+Q3p6OpYvX87rWRn0lU8G7fdSWVmJjz/+GIcPH8b69euxatUqAMCgQYN0rj1w4AAKCwsRHBzM+X75wJaP//77LzZv3ozdu3djyZIlWLhwoc6sTk3GxcVF9U6Z9oYgCFoDQBCElePg4ICQkBCdUdOaypIlS9C5c2edke3evXvjueeeQ3V1NY4fP855/Y0bN/Dtt9+iR48eaNq0qanVVXH8+HFUVFSgSZMmqFevnsa5ffv24dGjR2jbtq2q8w8APj4+GDt2LIBnHXR1Ll26hF9//RXe3t6qNABgb2+PKVOmwMHBAbt27UJlZaXqXGVlJXbt2gUAmDx5sqrzDwADBgxAWFgYfv31V1y+fFm6B+fAwcFBZTRcu3YNpaWlJr8nGz4+Ppg8eTJGjBiB6upqpKeno6KiwiK6EARhPdAMAEEQVg3XGgDGPzslJQUJCQn48ssvce7cOVRWVqJp06YYP348QkNDUVVVhW+//RYHDx7EP//8Az8/P/Tv3x+JiYmc99uytp8qzgAAD79JREFUZQt+/vlnPHjwAG5ubmjevDmGDh2q46Zkbho0aICff/4Z9+/fZz2vVCqxevVq1KpVC2PGjMFPP/1kNt0OHz4MQHf0HwDy8vIAAM8//7zOudjYWDg5OeHs2bN4+vSpyk/99OnTAIC4uDgdY8jHxwfNmjXDuXPnUFhYqPLnvnDhAh49eoTAwECEh4fr3Ov555/HtWvXkJeXh0aNGhnxtPzw9vZW/V9VVWXy++kjOTkZ+/btw927d3Hs2DHWfGKjqqoK27Ztw/79+3Hv3j34+vqiS5cuGDJkCGt6pVKJo0eP4qeffsKVK1dw//592NnZITg4GN26dUPv3r1hZ/e/scd169bhhx9+wCuvvIIXXniBVd7EiRNx9+5drF+/XjUQcPPmTXzzzTe4ePEi7t+/D1dXV9SuXRstWrTASy+9BF9fXxFviSBsB5oBIAhC1ty5cwczZ87ElStX0Lx5c9StWxdnzpzBvHnz8O+//+Ldd9/F1q1bUbduXbRo0QL//PMPMjIykJOToyPr119/xfTp05GTkwMXFxe0bdsW9erVw8mTJzFr1iycO3fOAk/4P/7++28AzzrAbPzwww8oLCzEuHHj4OHhwVvu/v37sXbtWmRkZOC7777TWFDKh7t37+LChQtwcHBAfHy8zvlr164BAGun3NHREaGhoXj69Cn+/PNP1fE//viD8xr140w69f8bNmzI+xpTwsw0eHp6wsvLyyz35MLe3l5lgJ0/f573dWlpafjqq69QVFSEmJgYhIWFYceOHVi2bBmUSqVO+oqKCnzwwQf4+eef4eXlhTZt2iAiIgI3btxARkaGxqJq4NnMFgDW+ggA586dw99//43o6GhV5//y5ct47bXXcOTIEXh5eaF9+/aIiIhAZWUlvvvuO41yRBAEOzQDQBCErDl06BAGDBiAsWPHws7ODkqlEunp6Th48CDefPNN2NnZYe3ataroL2fPnsX8+fPxzTffaIw4lpWV4b333sPTp08xZ84cjdHqX375BW+99RZWrFiB9evX64xIm4Pbt2+rRsXbtm2rc/7+/fv46quv0LJlS70LddnYvHmzxu/MzEwMGTIEQ4cO5XX9kSNHoFQq0bp1a53F22VlZXj06BEAcEbg8fPzw+XLl/HPP/+oZln++ecfg9eopxN7jSl49OgRLl26hE8++QQAu9+/JWAMo5s3b/JKzyxiDggIwPLly1WLwv/++2/MnTsX9+7d07nG3t4ec+fO1Zm5efjwIRYvXoxDhw6hR48eaN68OQAgLCwMTZs2RWFhIf744w+dWTbGMFCvq99//z2ePn2qsZ6E4ebNm6hVqxav5yMIW4ZmAAiCkDWBgYEYM2aMyq1AoVBgwIABAJ51BiZOnKjRIWzVqhUaNmyIu3fv4s6dO6rj+/fvx7///osXX3xRx1UlOjoaffr0wf3791WdcHNSVVWFlStXoqKiAvHx8azuKxkZGXj69CmmTJnCW25UVBRSU1Oxfv16bN26FRkZGRg5ciTs7OywceNGfPfdd7zk6HP/KS8vV/3PtZCbiVyjnvbx48d6r2GOi7mGSScl/fr1U/0NHToUCxcuxKNHjzBr1ixVebQ0jHHGdz3Cnj17AADDhw/XiAgVEBDA6QJkb2+vs4AdALy8vDB69GgA0HFN69WrFwDoLFgvLi7GqVOn4O3tjTZt2qiOP3z4EAB0Fo0DzxbRk/sPQRiGDACCIGRN8+bNYW9vr3EsICAAwLOFmMxIozpMGMh///1XdeyXX34B8CziCxtMaMvff//deKUF8sknn+DChQsICAhg7eCfOHECp06dQnJyMoKDg3nLHTFiBBISEhAQEABnZ2cEBQVh8ODBePPNNwEAWVlZePLkiV4Zly9fVo26qnfShMDmSsIcUygUguUIuUYqunbtqvrr1KkTIiMjUVxcjC+++EKQy40pEfJ+Kisr8dtvv8HOzo517UanTp30Xn/16lV8++23WLduHVauXImPPvoIP/zwAwDgr7/+0kjbsWNHeHh44PDhwxrl7dChQ6ioqEC3bt3g4PA/hwXGAP7oo49w6dIlVFdXG3wegiA0IRcggiBkDVusemZE2cfHR2PBIQMzEqweDYWZDZg5c6be+xUXFxvUKScnBxcuXNA45unpifHjxxu8Vpvs7Gzs2bMH3t7eeOutt3R8+8vKyvDJJ5+gXr16krmaxMTEoFGjRrh8+TJ+++031pFWhtzcXADPOnFsrlHqkXiePHkCNzc3nTRMp089LfM/12i9MdfwjasvBLbwnVeuXMHcuXOxaNEirF27VmWYWgqm7Lq7uxtMW1JSgsrKSvj6+rLmq5ubG2rVqqVy72KoqKjAypUrcfToUU7Z6rM2AODk5ISEhAR89913OH78uMqFbd++fVAoFOjZs6dG+oEDB+LChQvIy8tDXl4eatWqhYiICMTFxaFbt26sZYwgCE3IACAIQtboG80UMhLMjCI+//zzevcciIiIMCjrwoULOHTokMaxOnXqCDYAdu/ejaysLNSqVQtvvfWWTnhN4Fkn88GDB6hTpw4WLVqkcY6Z4cjLy8OtW7cQGBiI6dOn87p3vXr1cPnyZTx48IAzTVVVlSr2f5cuXVjTqHcU7927x7p/AeNL7u/vrzrm7++Pq1evsvqZ67tG/Ryfa0xJeHg4evXqhe3bt2P37t2iDEApuXr1KgDo3UOCgW1Whg87duzA0aNHUb9+fYwdOxbh4eFwd3eHg4MD/vzzT0yePJlVdu/evfHdd99h37596Nq1KwoLC3Hz5k20bNlSp9y7ublh6dKluHDhAk6fPo3z58/j7Nmz+Pnnn7F161YsX75c8GZvBGFrkAFAEASBZwtE//zzTwwZMsTocJ8zZswwakMn4NnI+ieffAJnZ2csXLiQM7INw927dzmj9zx48AAPHjzQGa3VB+Mnrj7Crs3Zs2dVxkdUVBRnOib+/pUrV3Q6n5WVlbhx4wYcHR0RFBSkOt6gQQNVKEk2mONhYWEa1wD/6+jyucbUMBtz3bp1y2z3ZKOqqkq1fwQTNlUfnp6ecHBwwP9v7+5Cmm7fOIB/N52WS81ZBNKsqJRNRXqxkBZoSSLpQUVNQ+gwiWgelKGHkb0dZKtI7KB36cW0kYRIYiCaC5e4Fa5VvkTTmgucB+FaS/8H/rfHuZfW85g9j/t+QBDH/bt/v+HBff3u67ovm82G79+/e+0CTC/unk6r1QIAjh07hhUrVnh85jrFypfly5cjLS0Nr169gtlsdhf/znz77yIQCJCSkuL+vxsbG8PVq1fR1taGW7du4fjx4z99RqJQxhoAIiJMFQcDfy1g/iSdTocLFy4gLCwMFRUV7voDX9LS0tDY2OjzR6VSAZgqsmxsbMTFixeDmn9sbMydwuTvGE7gr/SfrKysgLstGRkZAOCzgVlXVxccDgfS09PdPQCmj+nq6vJqXDU6Oore3l6IxWKP70Ymk0EsFuPTp08+AwfX/K5rzwXXovd3pB39iocPH8JqtSI+Pt7r5BxfwsPDkZSUhImJCTx//tzrc9fOz0yuwNHXSUzt7e0B53QVA2s0GrS3tyM6OjqoewWmioxdjdc+fPgQ1BiiUMYAgIgIUykIsbGxqKurQ0tLi1eagt1uR2trq9/0ktnS29vrbnhWVlaG9evX/5Z53rx5A4PB4PWcFosFlZWVsNvt2Lx5s98jNe12uztY8pf+47Jjxw5ERUXhxYsXHotJm82G69evA4DXSTlJSUmQyWSw2Wy4ceOG++8/fvxAdXU1nE4n8vPzPYpDRSKRu8FbTU2NRy2ARqPB4OAg5HJ5UGlcs6Gvr8/9Jnvjxo1zMudMo6OjqKmpwZ07dyAUCqFSqYI+xta1IK+trfVIBRsZGcG9e/d8jnGl67hOEHLp6OjwSoubKTMzE7GxsWhubsa3b9+QnZ3t816bmpp87ia8fPkSwNyleBH9lzEFiIgIU4WRFRUVOHnyJNRqNe7evYvExESIRCJYrVaYzWbY7Xao1Wq/i+LZcOLECTgcDixbtgxardbnjoRcLvfZNfVXmM1mqNVqSCQSJCQkIC4uDl++fEFfXx8cDgcSExNx+PBhv+O1Wi3Gx8exdu1aSKXSgHNFR0fjyJEjOHfuHM6cOYPU1FTExMSgp6cHX79+RUFBgXsHZrrS0lIcPXoUjx8/hsFggFQqxbt37/D582ckJydj3759XmOUSiX0ej2MRiMOHjwIuVwOq9UKk8mE6Oho967IbKuqqnL/7nQ63XNOTExg06ZNQXfeDYa/3ZZr1655HKlqsVgwODiIiYkJxMXFobS0FOvWrQt6nqysLHR2dqKzsxMlJSVIT0/H5OQk9Ho9UlNTIRAIvHoq7NmzB93d3bh58yY6OjqQkJCA4eFhvH//Hrt27cKjR4/8zicSiZCTk4P6+noA/tN/mpqacOXKFUilUkilUoSFhWFoaAj9/f2IiIhAUVFR0M9IFKoYABAR/Z9cLselS5eg0Wig0+lgMBgQFhYGiUSCjIwMZGZm/nSx+0+58qotFotHn4KZ/mkAkJycjLy8PLx9+xYfP36E0WjEggULsGrVKigUCuTl5QUshp6e/hOMLVu24PTp07h//z5MJhOcTiekUil27tyJnJwcn2MSEhKgVqtRW1uL7u5umM1mLF26FEqlEnv37vVIGXKJiIhAZWUl6urq0NbWBq1Wi0WLFmHbtm0oLi7+bW+Hp7/dFgqFEIvFSElJQXZ2NrZv3+7zNKpf5XA4APhPJ3LtrgiFQixcuBCLFy+GQqHAhg0boFAofH5fgQgEApSVlaGhoQFPnz6FTqeDRCJBfn4+9u/fj5KSEq8xqampOHv2LG7fvo3+/n4MDQ1h5cqVKC8vx+rVqwMGAMDU2f719fWQyWReNQQuxcXF0Gq1MJlM0Ov1cDqdWLJkCXJzc7F7926fxfJE5Ekw+XdL/YmIiOaxlpYWqNVqFBUVufPL/5Tx8XEolUpERkbiwYMHf6TXwVy4fPkympuboVKp/AaGf1dVVRVaW1tx6tSpoAqhieYz7gAQEREFoNVqYbFYEBkZiUOHDv2Re3jy5AkmJyfdqTfz0cjICJ49e4aYmBhs3bp1Vq5pt9tRXV0NADAajbNyTaL5gAEAERFRAAMDAxgYGIBYLJ7zAOD8+fMYHh6GyWRCeHi4z7qH/7qGhgYMDAygp6cHDocDBw4cCJh+9iucTudPi4+JQhFTgIiIiP6lCgoKEBUVhTVr1qCwsHBepq6Ul5fj9evXiI+PR25uLgoLC+ftLgfRvwUDACIiIiKiEMI+AEREREREIYQBABERERFRCGEAQEREREQUQhgAEBERERGFEAYAREREREQhhAEAEREREVEIYQBARERERBRCGAAQEREREYUQBgBERERERCHkf0YqUNLfgDIyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 848.5x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lcf.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SAP and PDCSAP lightcurves\n",
    "By default, a [`TESSLightCurveFiles`](http://docs.lightkurve.org/api/lightkurve.lightcurve.TessLightCurve.html) will set the PDCSAP flux to its `.flux` property. \n",
    "\n",
    "To compare the PDCSAP and the SAP flux, we can use the `column` keyword while plotting.\n",
    "\n",
    "**Note**: alternatively, you can replace the `flux` column with the `sap_flux` column by using `lcf.flux = lcf['sap_flux']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cPHkSubm5UCqVaNWqFXr37o233noLLVu2ZG1bUVGBt99+G87Ozti/fz+rQAgAJCQkYMWKFerf3d3d0b59e7z88ssYP348BHqqTxUUFGDu3Lmc6zZs2IBevXrh7Nmz2LJlC/bv348WLVpY+K4fDxTQOyhnJwEUcuNXMYWiHhpDCCE2cj6tBM90a20woCeEAEePHsW+ffvw6quvYs6cOVAqlcjKykJkZCSEQqFOQH/x4kXIZDLIZDJcuXIFY8eO5dzvokWL4Ofnh6qqKvz777/YunUrZDIZJkyYYLA9b731Fvr3789aRhN0mo8CegelmgqdR0BPXVeEkEZKIpVDoVSiWRPDc2rQWY4Q4NSpUxg3bhzee+899bJhw4Zh6tSpUHD07kVGRqJTp06QSCSIjIzUG9B37twZ3bt3BwAMGjQIGRkZOHXqlNGAvkOHDujVq5f5b4iw0KBYB8W3QpuEqj8QQhqpyLRijO3aCsZOd9RxQQhQVVUFb29vznXaY/wKCwtx7949jB07FkFBQYiPj0d5ufGnYM7OzvD390dBQYFV2sxISEjApEmTkJqaylq+evVqLF++HAAgl8vx8ccfY8mSJZDL62Kb48ePY8qUKUhPT7dqmxoaCugdlBPPmRP15bgRQkhDdyapCBN6+eLjMQEGt6N4nhCgW7duCA0NRVhYGEpLSw1uGxUVBaVSiaCgIIwZMwZyuRwxMTG8jlNQUAAfHx+j2ykUCsjlcvV/XE8JTOHs7IzFixfjwYMHOHr0KAAgIyMD+/fvx+zZsxEQYPg80dhRyo2D4hvQV9XKWL9XS+VwczX8+JoQQhqC5MJK9PT1NNoxoT2TOCGPo/nz52Pt2rXYtm0bAKBt27YYMWIEXn31VbRt25a1bVRUFHr27Il27doBADp16oTIyEjOynxMYF5VVYXQ0FCkpaVh+vTpRtvz7bffsn4fOHAg1qxZY+7bU7fz7bffxp49ezBw4EDs2LED3bp1w9SpUy3ab2NAAb2D4ptys+daNsZ3b4OXevuihbsr3Jf9A+X3k2zbOEIIsVBacRW6tvbg9ZSxslaO1vXQJkIass6dO+PHH3/ErVu3cPPmTSQmJiIkJARnz57F+vXr1T3YGRkZyMzMxLx589SvHTt2LPbt24f8/Hx1kM9YsmSJ+mdnZ2dMmDABM2fONNqed955BwMGDFD/bq1KgJMmTcL169excuVKuLi4YMuWLXB2dvyOSgroHRTfHnoAmH0gDgAokCeENBqhSYWY0MuX17Zd1kbQ+Y3Ui/nHbiO3vNqq++zYwg07pg0wviEPrq6uGDZsGIYNGwYAiIuLw+rVq3H48GF1CcrIyEg4OTlh8ODBqKxUlbYeNmwY9u3bh6ioKMyYMYO1z48//hidOnWCh4cHfH194erqyqst7dq1Uw+mtSaBQIDRo0cjPj4eI0aMQPv27a1+jIaIAnoHxbeHnhBCGqNzacXYN2sw7+0/C03Cly9SRQ1iW9YKvOvLkCFD0KVLF2RnZwNQpadFR0dDoVBg/vz5OttzBfSdOnWySWCuiblJkMnYacKVlZVwcWGHsqWlpfj1118REBCAS5cu4datWxg4cKBN29cQUEDvoMwZ7FpRLbVBSwghxLqqpXLIFUo0a8r/EvbVv6nIK6/BmaRCxCwYBY8mzmjr1dSGrSSkYSktLdWpclNTU4Pi4mI88cQTAIA7d+6gqKgIs2fPRr9+/Vjb3rx5E0ePHkV6enq9DzBt3VqVNJednY3evXsDAMrKypCRkYFu3bqxtt26dSs8PT3xzTffYOPGjdi8eTO2bduGZs2a1Wub6xsF9PVk8eLFOmWhJk6cyDnAxBrMKV6z6K871m8IIYRYWdT9Eozp2srk1+2+lgUAmPZ7LEZ0atnoelMJscTChQsxYsQIDB48GD4+PhAKhQgJCUFFRQUmTVKlpEVFRcHNzQ2TJ0+Gu7s76/VdunTBX3/9hcjISLsE9D179sShQ4fQrFkzODk54dixYzp592fOnEFcXBzWr18PNzc3fPjhh1iwYAF++uknBAcH12ub6xsF9PVk48aNVhvwwYc5GTeyRyWjKqqlaO7GLweOEELq25mkQvxnpGUzSlLdG/K4mTVrFq5du4bdu3ejvLwczZs3h7+/P9asWYMBAwZAJpPh4sWLCAwM1AnmAcDT0xMjRoxAdHQ03nnnnXpvf3BwMLZt24bNmzfD29sbb775Js6dO4fqatWYhYcPH2LPnj2YOnWquhe/RYsWWLhwIb766isEBgZi1KhR9d7u+kIBPVETPLoN+DQ0GVsm90N2qQSdvHW/1IQQYk9JhZXo5etp9usFoFKW5PFjLCvAxcUFBw8eNLiPZcuWqX/u378/QkJCTG5H27Ztjb5u/PjxGD9+PGtZ+/btsXbtWtay0aNHs9Yz9ec1jRgxwqx2NjY0sZSDsmTCKIVCdaF7Ys1ZazWHEEKsIr2kCl18dMtVvjXMD9cWjdbzKjaBgHroCSGOhQJ6B/VES/N71u8UiKzYEkIIsZ4z97jLVf42azB6tOE36E0AAc0eSwhxKBTQOyhfzyZmv/Z8WglyyiRWbA0hhFjHubRiPNude5qoFu78xv5Y8ACTEEIaJAroCadOX7HTbeQKJV7YeQVFlTV2ahEh5HFXLZVDKlfC04RylVySCyuph54Q4lAooHdQTH7pJ8905f2aQzdz9a6TKRQITymC7+fhFreNEELMEZ1egqAA08tVaiuvlkFJWfSEEAdCAb2Dmz2kI+9tZQrdC9zdfMqnJ4Q0DGeSCjGht27+vDlq5Qqr7Ic4Nmb+GLlcbueWEEfFfLa05yoyFQX0DopJER3YoQXmPArqFz7dxeT9bLv4wIqtsr1Xdl+zdxMIITZyN78SfdqaX65S0/4budhxKcMq+yKOi5lZNT093c4tIY6K+Wxpz+JrKqpDX0/qe6ZYzb52JwtGgF18UAqgrkZ9Qxdyt8DeTSCE2MCDEjH8fdx5l+Rt1sQZVbWGe1Wj75dg/lP+VmgdcVQeHh4IDAxU1zEPCAiAs7OznVtFHIFcLkd6ejpCQkIQGBho8eSjFNDXk/qeKVbTsme7Yd+NHLMqO8gdbORY93XnEL84CM0sHFRHCKlfZ5K4y1Vq+2laf7x/LAH7Zw/GlF9jDW57LbvMWs0jDmz69OkA8FhMTkTqX2BgoPozZgmKahyUZuzep52X2ftRPAroT99zjJ7vtOIqVMsUaNbU3i0hhJjiXFox9s4YZHS7/4z0x/vHEuDtYbyEZXqJ2BpNIw7OyckJM2bMwKRJk1BaWgqFgsZfEMs5OTnB29vbap29FNA7sFf6tlX/fGnhKLTxbIqtF0zLiZfJVQH9Xa3JpnquP4fkZc9a3kg7oCnfCWlcamRy1MoU8HLjd8lSfj8Jco5B/qYoENWglYcrXJxpqBlR8fDwsNuTdkKMoTPVY2Kkvw+6tVbNorhkLP9SlkwPvXYOfUpRlfUaRwghBlxIF2J0gI9Jr3F2Mi3HMKtUjFpZXc9ruy/C8Vdivkn7IIQQe6GA3kEZypdv6c7/wQyTQ7/yTJKlTSKEELPwzZ83B9OT33lNBP68/ZC1jquULyGENEQU0Dswa2SW8LmerYtIxa4rmZYfjBBCONzJF6GvBWOBDHFZegoXHwgBQD3ZVGhSoU2ORQghtkIB/WPIlEA/q1Sid13XryMAqC5+F9KFFrXpme2XLHo9IcQxZQrFeMKbf7lKc7y46wrr9zkH4mx2LEIIsQUK6B9Dll4XmUGl1qwQEXm/xGr7IoQ4Dlum22iTSFU59DRunhDS2FBA/xiy9GKVVsweECsQCNSPqu2pMVavCU0qRM/15+zdDEIarIjUYozr3rpejsUUAWDOJI3wlEIIeUxR2cp6Ut8zxQoAvSG2pdeoHuvPs36/kF6C2UM6qn/PFIrx5qGbiP5wlNF9KZVKlEqkFrao8SqqrKGKQYToUSOTo1qmQHM34zXlLcFU8Zp39Db+L7Bzo+wcIIQ83iigryf2nClW0xtDO6IFz1rOfOyLzdYZOJsvquGdU38ztxxDN12wWnsIIY4jJl2Ip7uYVq6SEEIeR2al3BQU8J819Nq1a+YcglgBVx/TvtlD0KyJ9QL6sOQi1bE0DlYgqgEA5FdUG329VG69njDqVCPEsdRX/ryoRqb+Wa5oCAmEhBBiGrMC+kWLFuHcOcN5v7W1tdi+fTvWrl1rVsOIZQxVhHixVxsEmThJiz5MEB2XWw4AqJUp8Ore6wCAA3G5VjmGtdHFmpDGIeGhCP3b26ZcpT7fR95X/0yhPSGksTAroJdKpdiyZQu+/fZbVFZW6qxPS0vDokWLEBoairZt21rcSGK6Zk2c4eHqzLmuYwt3RPHIb+fj4E1V0H6voBJKpZJ1ATx4MxdJBSLW9p+eScLMfTeQW64qh2lKxZ0dlzJ0BuQ2drYsxUdIY5ZVKkanlrYtV8mlslam7qgorKzFpqj7hl9ACCENgFm5F5s3b8Z3332HmJgY3Lt3Dx9//DEGDBgAADh69CgOHToEmUyG8ePHY968eWY1TCwW48iRI0hPT0d6ejoqKiowa9YszJ49m9frJRIJ9u/fj5iYGIhEIvj5+WHatGkICgoye9uEhASsWLGC83gbNmxAr169TH+jNrJz2oB671u6klmKrq2aqX+PyynH1pgH2P6a6rMhCA5Bv3ZeSMwX4bkebfDek0+YtP8P/kzAnhkD0a11M871fN8vhdCENHxnkgoxoXebej+ui5OTumPieMJDXEgX4uMxXeu9HYQQYgqzAvpOnTph48aN2LdvH06cOIFPP/0UL7/8Mu7fv4+7d+/Cy8sLCxYswMiRI81umEgkQlhYGPz9/REYGIjw8HCTXv/1118jNTUVb7/9Njp27IioqChs2LABCoUCY8eONXtbAHjrrbfQv39/1rLOnTub+hZtqllT4/+0Xk1d0MvXE9ezy6xyTIlUgbZfsP+ddlzKxPbXBqDsUSWbxHxVj72hKhKfhNzFt5P6cK5z1Dz5vPJq/HErDx8FBdi7KYQ0CGdTivHL6wMt2sfzPdogPKXIpNfE5ZShskYOABZPmEcIIfXF7NGRzs7OeOeddzB06FCsXbsWp06dAgAMHDgQixcvhre3t0UN8/X1xaFDhyAQCFBeXm5SQB8bG4v4+HgsWbIEY8aMAQAMGDAAhYWF2Lt3L0aPHg1nZ2eTt2V06NChQfXGW8KaOaJVtTLO5e2+CFcPlOVjQ+R9vQG9IXLtcjuNyI2cMnz89x0sfLoLnJ0c7xlCSVUtWjVrYu9mkEaiVqaARCpHC3fLylUuG9dNHdC/0rctTt4xXtDhbx7bEEJIQ2PRxFJisRjh4eEQi8Wq/GmlEjk5OcjKyrK4YQKBwOzcycuXL8Pd3R1PP/00a/n48eMhFAqRkpJi1raOqFNLd6vt65U91zmXGwrmBVZMgOn45b+8tmtIYb/2u//or0S7tMOWMoVitP4szN7NII3IxQzrlqvcMrkvFo2mp1+EEMdldkCfmJiIhQsXIioqCgEBAdi6dSumTZsGoVCIzz77DL/88gukUvtMGJSZmQk/Pz+dnnV/f3/1enO2Zfz000949dVX8frrr+Ozzz7DnTt3jLZJLBbz+q8+/2YCAfDkE97w97FeUG9PxVW1Jr9GXCtDcSX/pwe2lm/Ck4zGQtaIn5wQ+zhzrxATeltervIpf9WTYhcnJ5MG4PNxO68C2y9moO3ndLNKCLE/s1JufvvtN5w4cQJKpRJTp07FG2+8ARcXF/j7+2Po0KHYuHEjQkJCcOvWLQQHB6uD4/oiEonQrl07neVeXl7q9eZs6+HhgVdeeQX9+vVD8+bN8fDhQxw/fhwrVqzA559/jiFDhuht07vvvsur7aYM/LWUAICzQIAHK8dDEBxSL8fUduFBCefygLURSF85Tmd5Wol1q9ysP5eG4wn5SFw61qr7NZWjjg0gxBy3H1bgm/a9Ld5PUxdnuDxKYVNY+cZyU3Q6fr2ebdV9EkKIucwK6P/880+0atUKixcv1hkc2rdvX/zwww/YsWMHoqKiEBwcjD///NMqjbW3rl27omvXumoHffv2RWBgIBYuXIi9e/caDOj37t3La6ZYV1fbTnGuSSAQ2K3OMnPU4JN3Odc/EIo5l8HX624AACAASURBVK+LSMOnz/WA+6OSnJuj0+EsEGDh6C5mtUMqV6JGpjDrtdbgyHF8ZY0MnjwGZxOiKbtUAr8W1i1XKRBAZ0ZrSxka2E8IIfXNrJSbp59+Gj/88INOMM/w8PBAcHAwlixZgiZN6n8gnJeXF6tnncEsY3rfTd2Wi6enJ4YPH46MjAzU1OhPl/Dw8OD1X30G9MFjAjDKv2FNq85nYKvHsn/UP/+bUoSI1CKkFunOh6DtyS0XdJZtik5HWnEVtl5IVy8buTUGh2/adlKsqhqZ3Z6K1If7xVXwWnEGhVZKIUp4WEEB1GMiNLkQL/ayXrnK53u2gb+3O3r5elptn9ru5ous/gSAEEJMYVZA/8knn8DT0/jJMSgoCD/88IM5h7CIv78/cnJyIJfLWcuZfHjNEpOmbKsPE2g0tkmCVj3XA09ZceCZpa5klsLn01D170JxLZRKJX67no1lp+5xvob5i/dYf97o/q9l6ZbnZHrno+7Xpf7cflihM5B3wq4rRvfPx5l7qgoa0kcX/8b1ieG25OQdnNUoDbj1Qjq6rVPNJC23UhA+4LsohxxfQHSdTSnG+B7WC+hPz30SE3q3RfvmTc3eR6tPQ6FQKPGghPvJYd8NkUjm0alACCG2YlGVGz5at25t60PoCAwMhEQiwaVLl1jLIyIi4OPjgx49epi1LZfKykpcv34dAQEBdnka0VhVSxVY8y+7glC5RIqK6rrSl60+DcPzO68gLrccp+/xLyV3JbMUG6PuY0t0ut5tfFaForKGXWZTKK7FkpN3IK6V66TChCYVYda+GyaV3+Ty0i/XAOg+rm/MfXt7r2cjVmMug0V/GR8kTgiXWpkCVbUytLSwXKW1CcVSxOeVI+DrCABAbrmEbjAJIQ2KWQmuhYWFJm3v62tetYLY2FjU1NRAIpEAALKysnDx4kUAwNChQ+Hm5oaEhASsWrUKM2fOxKxZswAAw4YNw6BBg7B9+3aIxWK0b98e0dHRiIuLQ3BwMKuijSnbbtiwAW3atEH37t3RvHlz5OXl4cSJEygrK8NHH31k1nt8XB2Iy8FVrR5zrgccZ1OLMaBDc0jl3HnuXE9FRm6NwUu9fVFZI8PSU3dR++3LOtuUSqSs3HklVDcQvp6qmzKu9I7D8Xn45JluaOtlek/ff47ewmKN2Sb1BfCN6SFPuUSKFu6uEKBx35CQhuNShhCjbPTU0NInqFmlEvXPbxy4icj77AH9KUVV6N3WcIomIYTYilkB/dy5c006Of7999/mHAY7duxg3TxcvHhRHdD/8ssvcHNzAwAoFAqdAGzFihXYt28fDhw4AJFIBD8/PyxduhRBQUE6x+G7rb+/P2JiYhAaGgqJRAIvLy/06dMHixcvNtqT35i80LMNwpJNm13RGjR757UlF7Gr2wiCQ6D8fhIA7mBSAKBMIoNUrrvWUBaIrdKmfr6ShZf7tAWgyp9v7EZujcGVzFIov5+kGlxNET2xgjNJhZg5qKNN9m3pGIwpv8YCUJW65TpNTN57XX1OIo8P/zVnkbFqvL2bYRO38soRfV9odtEJUr/MCuj79u3LGfgoFAoUFxejqKgISqUSvXr1gouL+VUudu/ebXSb/v37IyREd3Chu7s75s2bh3nz5hndB99tp0+fjunTpxvdX2Ol/H4SBMEh+HXmILRfzW+SJnNxfX7u68lPjcspN7gvrtkfK2pkuP2wwkgbDK7GhfQSjA5oxbmuuLIGm6LT8ckz3QzOZnnxgRApWrm1m6LTMf8pfwDAGwdvAoBdK+2Y40pmqfpngUD/jMPUe09MEZ9bgfUTLS9XaUvNlp/Bs93qP5WUNEyZGk9uHM251GJ8EZ5CAX0jYVa0vW7dOoPrc3JysHXrVggEAnzxxRfmHII4OK5YWl98rf1om1EmkeoEy4wL6UK9x156irtUpragHy/p9LgxgevVrDJ8HZGGtl5N8V8DM1CevJOPvxLzAdTdxCih21sokcq1X8oSn1uOf1OKsPSZbrzabm2ZQjEOxOVixfjuOusEoDr6xHI5ZRJ0bOFms6dk1i6DSQghDYlNBsX6+flh5cqVyMrKwsGDB21xCNLIOXFcEE29SL53JB4pRaZPNPV7bA4A1Q0Bw9SAlGmruYGs9suY/Wjvr1BUg8oaGaLTS/BZaLJ5BzPBnXwRbufpPtmIyy3HyjNJnK9RzWdAiGVCkwrxYi/LZ4fVh+ucYy5LnqhpDiAnhBBrsVmVmxYtWqBnz56Ijo621SGIFf00rW5Ogfoov3kxo1Rn2Sd6SlPqczwh36I2dP36nMmvETx6jsD8hRRaEXiGUIw/b+cBUPVqV1TLdIJ0rgG+mikr4loZamRyyOQKdPrqLL4MV1UDEgiAmPQSXM1k/+3yyqvx8d+JJr8XLp+FJuF/pw0/wdB+uuAkoB56Yrl/U4rxXA/bpbIIBAKr5bjHPND/BNCY4Zt158PQtDk6HctO3cOSk1QtihBrEwqFqK2ttXczbMLmZSvLyqg3AgAWL16MDz74gPXf6dOn7d0stf+M9Ff/7GgT+FzNLMVvPKdoZ8pS6vsLvLr3Gu4XV7HSZwBVoA0AXdZGYNpvNxB9vwSBW2Pw0+VMpBarniIwNwFf/ZsKkYGBsa/9FosV/yThcmYpauUKVi331eEp2BjFLseZUlSJzdEPeL0/vt47Eq93nfb8OQIIdG5s2OsJMUwqV6CyVgZvD9uX/s2qhwGMR27mQig2LWj46C/VTfnN3HJczhTi+yj9ZXctNWwTdbSRx9OMGTNw/PhxezfDJmw2L/v9+/eRkJBgdslKR7Nx40Z4eHjYuxmPpb/v5GPPNcMBPd+bmOyyamSVSVBYqQr8FY8620dr5duP2X4J7QyUt3zh56us35mgX6FUIqesGp1aurPScJifz6YWY/rA9gBUs+o6Owlw9NZDXm3nKzRJVeFo94xBnOu1g3dBPfXQF1fVon1zN9sfiNS7yxmleMrfu16O1cnb3ebHmLk/DqH/9yReMCGFaMuFB9g8uZ8NW1XnhpFCA4Q4qurqap2JRB2FWQH9oUOH9K6rrq5Gbm4ubty4AYVCgRdffNHsxhH7aGwz3hqjVMLkCaFEGiU0Z+27wVoXn1uOxSdVaSn6qrsYk1bMzv1PfCgCUJdG9JS/t3rfykc/af+7uCw9hZGdvXE5Uzd9ibHgeAK2Te2PUnEtssuqMaBDc7Paq3lkzYA+qUBktAd+340c9c/MTQjnMTRKkXKJSC1G//bmtZ80bGeSCtU3qo1ZhlAMfx/LOm4c7AEpIQ2KUql0uBiHYXZAr6o9rf/M07RpU0yZMgWTJ082u3GEWIN28MxF+5P8RXjdLLaH4/NY65hgHlBdfPPKqwHo1pcvrmI/cjflHKJ5wlEq9VfB0Qzmq2pkaNaU/ZX+8WIGBndsgd1Xs3DrYQWq1r2EMonUopk4NVNuen8biU4t3SCqkekN1lc/+lvK5Aq4fnLa7Dxmc1PBvgxPwcdBAfBys9kDSTXXpaeQsWocOrawfS+wI4nPK8faCb3q7Xgdmrshr6Ia4fMC8fzPV6y23y5rI1C1bgIAVencosoatPE0bSI6JZSI1xiYHpZUaFJPPyHEMAroNSxatEj/Dl1c4OPjg+7du6snfiKNS+tmTXBu/kg8u+OyvZtiFU2cjQ8VyauoNmvfSgDHE1QpL54rzrDWybSTzU2gGReXiGux5YLxHPngkLvYOrkfmrg4sYL2g3G56sBfoVDCe1Wo3qCaT4sVCu2UGwE2Racjs1SMT59jT7C28ETdYF3mVeJaGWKzyxHUlbvGv7V9HpaMGYM6oKebp82PJVMoUVXrmI9zbSWvvBrtvNzgZM0yNEYsfaYrPg1NwhC/FjY7xuu/q57sGbqBvZsvwrWsMrwzopN6WaGoljXJ3ou7rtKEVYRYiaONEdRkVkA/btw4a7eDNBDMheMZB5o4pYmL8YA+Nps7p3TrBcMD01aHJ2NeYGde7ZAbCPC111TVyvHu4VsAgP03clnrjt56yLmvMokUTf+n6gHXDNrPpRWrtwlPsXwGYH0Deo8n5KN7a3bQfOy2bn7/5YxSjN95pV6DFGuexO/mi9CnnZfV9ve4C00qxIs929TrMZlbBx8P859U6aP9UVMolMgslaBTSzcciGN/l88kFeLLf1NYAb2xCfEIIZZx1B56m1e5IY6nW+tm9m6CSSzp+Fv0l+HScRKpglfvOQC8sue63nWVWkGyUCzFAyH3zLmAKn9em3YgwRX0M08N9AW4+v5UmifAeUdv632NuWMKGpO+GyINrnfgDiCb+DelCM/Vc0DPqI8Le1xuOQK+jkCpRIp3DutWj9L+vORrjPfJMHAOIIQQTRTQE4MCO+tWnnjBThdfR6Y9G+6puwUm70M7mOYK+pl0mcsZpbj0QIgb2WU4c68AE3ZdgVSu0DuNueYNQGUt++bD1JjIklQkc1GM3TDJ5ApU1MjgUw/lKjU927011r3U2yb7vpjBrlG/JET/vA7Gvju7r2aZfPy2n4chVc8M2oQQx8Ur5Wbu3LlmH0AgEGDXrl1mv57YV1OOdJWOLRrX2AjBY1IJnU/5Siaw/SsxHzdzy9G6WRN0aOGG0KQiTNl73Wg5uzE/XtTp1dT8+xrqnWa2enGXqmTnl+EpOHknHzELRrFyhm3B2r3m3b6OQNoKSj201OXMUozk6DSwtf7tm9usYpL2ZzlK62ZdkwCmPdXafTULp+4W4MS7w/VuU1hZizKJDNmlEqMlOn+5kom5PFMGCXEEj30OfWFhoa3bQRqgN4f6IauM3WMb9cFTGB3ggxX/JNmpVabLKefudXZUhk5YTMlJJ42JsZhA+/Q99vec2Y9mAB+dLsQYrcGsfHvotVv16/VsPBCKUSqRolqqUB9TXxpEQzoN3y8RQ6FQQiyVw1OrspAjXzCs7UxSIV7rb99ylb18PZFUaL0ebX3/+vq+Jkql6kkFH5mlYvyVaHyGbIlUjifWnMW+2YPxxlA/vdv939HbFNATm1AqlRAKhWjVqn6KH/D12JetPHnypK3b4fAWL14MJyd2b/fEiRMxceJEO7WIH+3gxKupS6P7MmiXj3R0huLJqb/GAgC+OZ+G0QE+uJAuRGDnlpzbzt4fh37tvbByfA+D/+aaazZE3uffTo3Qh0chIqv2su+Lzcbkfu0tKmV5OD4Xcw7chOjrCaygvrCoCL3aNr5BszKZDEqlEq6u1h8oqk9cTjnWvFh/5Sq53PvfMxAEh1htf3w/p+JaGYRiKWQKJUb+EAMA8FkVyrmtTK6Ai7OT3qeNSqUSSiXUlYKY79bCE4kGA/r6olQqUSaR1stMwMQ0lZWV8PTkrgBmySk3OTkZb7zxBmJjYy3Yi200thiGL9sXZiYAGudMsa/2a4uSKimi0+tyQhvjoMfHbVZE1090c+e5XHj078pMZqUttbgKzXkEvOaeHJnAp6SqFt6Pqo0olabn5JvjrUPxuLbIC8Of4L6ZYQYjGpokiClPeTWzFON61I0rkcpsmz5kK99//z1EIhHWrFlTL8d7WFGNtl5NbVKuUhXgKnU6UfR5tltrVjUoS8TncZ9vNL8nguAQzBnSUV315naeamK5UomU9Zpqmarn/n6JGD19PXW+G+N2XEbE/JFYfy4N17LKDKbi2NONnHIM33yBym82QGPHjrVJ0N1QZ2N15B56GhRL9HptQAfMG8l+HKvZ+zRtQOOf2dERWWvMqZNAwOv2jW88ptDqumQG4Pb/LgrbL2aw1ok4cupN6aHXrvDD9VKBgPs4APD+sdtYcDyB/wE1j9WA7nl37dqFc+fOqX8/ffq03m3LysogFAr1rrc2VblK20yYtG/fPgQHB9tk38asi0jjtZ1m+ddaPSk3F9LZ+ffaX7VzacUQBIcgr7wa6SW6FXG4vpr6PvO2VCPjl1JEHEdDDZodOSWSV0C/cuVK/Pnnn5zrxGIxamsfr5QGQh4HAoEqOI3LKWMFH9qz1vI9bV/NLNO77utHQRBzqm2+8ozebSVSOe5zzP6bWlSJab+peppclp5CokY9b30ncX3HCUsu0hlToK1c0vB74sPCwnDrlmo+g8rKSnz++edW3b/MgqcR4clFeN5GFbOKi4uRk5PDe/ux3Wyf56tvtmc+xI+eBjFBUnapBP85eku9vqxaqrd+vWY6UcidfIz7qX4mDKypqVF/Phw5iNLUa/05hCU51pjDhhmWW6ah3mxYildAn5CQoPfkOGvWLPz0009WbRRpuB6P0zIBgGtZZfjlahaGbrqANw/eZC3XlFykG1xzMfUcql16j3n9wbhcdFt3DicT8/FXQl1lnwyhBH9qTGRlbMZWsYUzui49pSpHqP2dyM/Px6pVqyzatyl+/PFHg+uZYKqy0vDAT3OCrsDAQBQXm56qIpMrUF4tQ6tmtsmpFggEJr0f7RmObSE6XX+1G32YwGPIpmgUV9aovwNPrDmLn6/UlbTUnnxO+61/H3kftTIFXtlzHdez9d9YN/1E/xMcU3300UfYs2ePqj0GtltwPAE3DLSpMZi5TzUrcHJR1WM3ZksfRw2aGzKLU26YXEXyePBs4qz+mf7ViSn4nN5/u56NtEe97z3Wn+ccrFj9qKdz97Us7L6WjfSSKrxz6KbBGwapTPUamVyBB49SE5advmfaG+ApPz8foaHcgxu5vH/stvGNDNi7d6/edfVxUTWnl/5KZinnHBeObFM0e9ZpUy+bcqXx79D/TnHXvF8ScldnlujXftWd6E5f6o85iouLIRKpxgbU1Er1bvfjxQwkPBRZ7bj63L/Pf8C+qY7E56l/drTroqO9H3M0lkqPlENPWLhOemnLnwUA/Dx9AKt6B93IEWt7749bGK8nJWBJyF1czSzFghOJAFQlNJVKJcb8eAm/xebguZ1XWNunFFXik0eT+jzIycPXZ1MRnlKEgK8jAKhqoAPAtpi6mX6LKmtY+2ACkjcPxmH/DcMpHFH3VT3VudVOSO03m9f7BYCdlzN5b2sOvt9TJvivrq6GVKo/ALOG0OQiTOhlm/x5RkM7P93MZafEhPCYPE7zPQgAfBqabHD7b8/rD1on7b7G+l17MHx8rvWLBzCfqYxMw5/x+ii2MGPGDJ1l+/fvt/pxlEolnnzySSgUCl6fwZqaGoPrly1bZtZTME0VFRU2/05bQiwWY9iwYby3z8riP+Ha7du3MX/+fPXv5pwXXnrpJZNfYw8U0BMWrpPe9bMhWDW+O4b5sSuC/L8RT6h/bsKn7iB5rPHtLdY3Wy0AfB2Rqv65TCKFQgnklFdzbhuWXKQuo1lQJcPKM0mY+Ms1ne0WnkjE5Ueze/p+Hs5a98wzzwBQ3TykFlVBodDtwWSuD7P3q9KSSmoEqGjVXe97qG+HDh1CcXExMvUEVdqpOMuWLcO2bdsAAMeOHbNJYHwjpwxD/VpYfb8Mc59MPFg5DiP0VD6ylPZAbT6uaqS3hSXz7yVkBqBrV83RZ9mpe5zfDX1e/PmK0W00PzfGPkP2uvfavHmzSdunp6djx44dRreTKpSYMfsNnD171uB2VVVVGDVqlMFtzp49ixdffNHgNgqFgpUW/ddff+GXX35R/z5nzhwcPXrUaLutyZTvoKk94FOnTtVZJhQKUVGhO44kPz8f16+zn0bpa1tZWRmWLl1qUlsaEorCiFHfffcdvprQC4M1LsB3PxmLFzV62LQrmBBiCyfvsHs1z3AMQGPSdJiSgHyU86z8YagAANPLmFOtOq1+/Hci7+M/fKg7y+/hw4dRWlrKex+G1NTU4Oeff+ZcN3bsWFZvYllZGaqqVGlP69evNxqM8S0NycivqIavp23KVTJMzaHX1KeBziFg6EZXmym9sbHZZTh4Mwd5Fdw3xlzCktnpO5s2beK82WUCJ817mYSEBERGRrK20/cv9XdiPgTBIcg3oW3R90uQKdSt+KNJJpNh9+7dvPfJuHfvntHXKQFkd5uACJd+RsetaP7N+IxFLCsrw5QpU3SWp6amYvLkyerfb926hUuXLql/r6qqMruHXqlQIDAwkLWsupr/vwcjOjoad+7cMasNALBz506D65cuXYpNmzbpLNcO3rnKVv7zzz+YN28ehEIhzp8/b3Yb7Y0C+seMVCo1+oFlJhIzVMKud1svdT5nO6+mFNATo6rNrPLRwkDFG76MfT4NrWcuXl/+m4Irqbo3CVKFAn2/Pa/uZTxfpKrdvzn6AWu76hr9NwOTJunW5/7uu+8sugBq+s9//sNrO+ZCp3nB4wrUuF7DV1hyEV6wUXUbc23duhVAw67oUWFCucngU4ZTczQN33wB2WWmB2iaDhw4wHkDlZ+vSuvRXHfq1ClW77H2egBISkrCzp07MXmvqmdV8mgm6S+//BIREREG2zJj3w38biQ9rrq6mldPuzZDn/WSkrpBzzJXd8hd3Y1O0qa5P+2/CZeqqipkZ2frLDd085qcnMzZc82H4NG+mXEyw4YNQ21tLZ5++mmT97Vjxw69ZXP5nEN27dplcL1MJoOzs7POcq6AXlthYSHu37/f4NL0TMU7oD937hxeffVVnf8EAoHedcx/RDVT7AcffMD6z1BNaGs4cOAAli9fzlr28OFD9SOloqIidU+cpqSkJADA888/b3D/zPdkwdP+NHCGGDV+p/HH9FxMCWTMpa9OdlH7oXjvmz1QPgpqf7qsm7splStwt6AS+SLdXFimaEBeXh7cV4QhNjkDBw8eNNgWzUIDn376Ke/3kJOTg++//x4ZGRnqZUwwnp+fb/BixWxXH0UOwpOL8HwP6wf0hw8fNmn7/fv34/jx4zh27Bh+//13AMBvv/+G59s1zJrppszCfKfAcM+wMXE5ZZCaOEBWIpGorydPPfUUFAoFIiIicPr0aZw6/Y/e1wkEqkGlZzUG7SYmJqor5Gi6fPkyHjx4oLNcXzqTUqlEcaXhHHUuubm5+O9//2vSa7799lsAwI5LdaltLi6qm3uFQqHO+7506RKio6MB8As2TSWVShESUldM4NSpU5zHMpclpWr5vr8FCxYgIyMDIpFI76RX2t93uVwOJycnXu3T/lswT/Qem4CeebPm/EdUM8Vu376d9d/EiRNteszc3FzWyS8qKgr/+9//1L/PnTsXv/76K+drTSlFKr8XjZE+ur2vHhLTy7QRYg9Tf+W+aAjb9kei2B3yRwHvkWTdQGltuP7e0Od2XsG6f+LVPWR3kpKxceNGg23Zvn071q5dC6BuUC5j77UsvHEgTv34XPPCnZiYiEOHDuGzzz5TL9OXN89F8yJXW1uLI0eOAIDO43ZDrzNGJlegVCJFa8+mvF/D13fffcdqk6FrT0xMDHbt2oXr16+z/kbH/zyOJiW6AePjZuimC7idp/rMFhcXs9I19KVbbNjwHV5bpRp78aDDKEic3AAAkZGRSE5JYW3L/NvIHt00nE0txqGbuRix+YJ6G82ZRqc8qsij79/UZakqaM3NzYVcXhfQXc0qQ5tH42JKW/c2+J4zhWL1INmCggJWygpzbLFYfyrPFYWf6v+ZdWlyTI9xWlqaOu/7xIkTOHbsGAoKCnRmU2Xen1gsVp8zCjsMR5VXB4Nt16TdSXfo0CEAqg48fSorKznnGjrNcSNm7ImdPsx5gk/cc+XKFUybNg0xMTF4//33sXDhQp1tNL/vTLtiY2Px8ssvm9U+R4hVjc/rjroUDNK4aE99npKSgtRU1aBCsVis98T8xx9/6CyrqqpCs2bN1L9XVlaq8wMTExMxvl0LXAJ7lHpg8j6cG/SRxe+DEEuZcq4+pVF9pLJFZ9yWAYYup9dz9ZfcSyoQISK1GCV3cwF0RHJ5XT2P2tpazotjXl4eZ7rb559/jtoRM3E5sxQjR45EbGwsVq9erbOdvgvT7du3UduEOz+c6Xy5eu0anJu3gZeXFzZs2KD3fWkyJaC/llWGJ2006FSfH374QScg+Omnn9SBj+Y5kt/cyI+HtPv34VzijLlz5+KLL77Ayy+/jOLiYnh6enJuf1XcHGFO3XGvQIT8zkG4lRGJNq45+EvRB0Ddky3Nz4urVt3769llEASH4OhI9r5v5fFLGfn1119RKaobkK75lCG97+uY8da7OPI7d5lX/7URGBq1GTNnzlQvW758OVavXg1XV1fMmTNHJydeM/2lQKn7d9H+buTn5+P8+fPw9/fHxIkTdearUCqVCAsLw/nz5yEUCvHzzz/jYecx8M25grCwMHTvbv5g+0OHDiE4OBipqalYuXIlDh48qH6CEBoaivXr1+O1115jvSY5ORli/3asZXwDes2bwLKyMnXPeUGB8epODOaG6PJl7spncXFxGDJkiLpdVVVVrNQnoO7f4M8//1S/P33nLO1z54kTJ9CxY0fe7bU3yqF3YJofzu+//541qGT58uUoKSnhXYlgzJgxrN93796N9957D4CqF5HrC2LOwBlCbGHvLeNl34ZvVj0G1y7vB8DsYszMoNZ4sepiv+6WFCXtBgNQDSRcsGqt7qEeDdpSah329OnTem9MmO9uRcsuiBGqJmvSvrABQMLIxQZfL23iheuDP9C5aF+5cgX5+fnqShpKpVJ9YTYloD+TVIgJvW1brhJg99D/9ttvAIAVK1agrIw9gZHmALmJvX3hLDc9PcNRffHFF5g7dy4AQCxVYMwP0Rg3aSrWRKhSf7QHqt5XqOYV6PNtpHpZQuBipKG1Oj/zk5C7+OPP41ACSC5kB8cF5XW93w8lQEnbAbzamZeXp7OM+Z5ofzJPtHjO6P5GjRqF5GTVU7d///0XNTU1GD58OFJSUnSOJZHUDVTWd/2MiIhQr2MGvzNpcdqvUSqVWLlyJc6ePVs3y+6jv93KlSvV37/i4mKj11em807bzp07kZ6ezgq4169frz6+9pMJbXwD+iVLlqh/njx5MtLT03W2KSoqws6dO9XvSy6X48SJE+r1XDnxiYl1xQa2bdumLlSg/bdkbraY7/e6deuMMstahwAAIABJREFUtllzHxkZGTh06JC64ldjQAG9A1MoFOoLGPPYjcGciDQ/wFyj4DUfCT733HNYvnw5ZDIZ9u3bp76gZ2dnq/P0OqTXDVjSrK/7zYtdLX07hJgtLt94hZDYbP11uPMqzazhrFRd/M5V1FWIkruoUhFEIhF2K0eoNgOgeJQHfOvWLchkMuR2GY/MHq8gNjZWfTH89bdfOQduTp8+HRcvXkRpmz4o7DAcAPDCCy8AACpa+kNpZLhnSkqKqsTeo4ufdirAggULsGXLFrz99tsAVIPIzEkZjM0pw1A/2/bQb9iwAQKBADk5Oax82vDwcJ2bnLNnz6ov+APS/wZqVZ+TQUns86W3u+HBjY6EqRJV6tsPQt9+EHu2Q7pIgeiMckiatcXac6rPYvvV/7Jep+D4jCmdmIBMtW5D5H3IXdxwJz0bvb5hF2c4nVz3b3O73AkZPV5hrT8ZE4fi4mJUyQXI0Khi88or7O0UCgWkUu4B6DIXd5w/f541tuzYsWOsbeRyOSu1hmucGWP27Lr5JgqL6ipulbXpi2r3Vvjt4B+sNFeu3G2gbryadlDKpMwyT46YYPqNN97A4cOHcf36dfzzD/f4BIlEgpiYGNYyzWCZ6wZEJpPhv//9LxQKhepYGs398ssvWW0wRvPmmXmywRyTqTmfnp6OXbt2qW+g/v77b6Slpalfx9VZ8M4776h/vn37Nj799FOIxWJUVlayvt9TpkxBSkqK0Q6HN954A4mJiRCJROr2KZVKTJs2DWKxmHVjZMn4gfpAAb0Du3nzJgoLC9WVBjTFxcWxfh82bBjnB1/zS1laWop///3XYE5t6/w4zuXyWur5IgQAcrqqLt6aVW9yu4zHa7/EYOfOnSgoKEB+fj5q3Zqj1q0lvvnmG8562Zo5sRkZGSgv574hSR34Nmrd2DXfHz58yJqsRvvCf+PGDc59McdgTXjEs4e+QFSD1s2awNmG5SoB4MiRI+qUJWP5/5rCw8PV/3ctSkP3W7+r1/W5vt26jWwECjo9hQe9X4PQtz+iU5lglR0EXrlb1+uajlZ695X/RF2t9eL2Q5E0eK6Rowt0bg/+johBYYdhWJfaDF3WqjqOuOqXyxUK3L6tmn2Z+WxqjpPIzs7GlSuqAfo3xnyuU6McAKsCjrk52bXu3ogqZvcw65utlvm8an6vbt++rTOBEnOjLZPJoFQqMX/+fNaYGYB9g/LRR+yUV2ZsDgCsWbNGpx1MsD579mx1rz2D+RtqDqAvLy9nBdFlZWXqvx3Tux4WFsb5noODg9X/Ptu3q75flZWVrBQ47TFEY8eO1dlPVFQUgoKCOJ9YaN5wabp9+za++uorAKoiIEzlP+bvzwxwzs/PV3d07t2716TziT1QQO/AmA+idp6eJqVSqe7947ow68td08dFyj1oaEI3Va+cS40IzUtSOLchxNGIXbjzjRf/fQf7sup6fQueGIW/ksuwa9cuKATOkAvqAgGJRIJLly5B7uQKuauHOo1nwoQJrH2akvqyYsUKbNq0SV3xiul5KvfRn6Or3btm6nHDkgvxQk/bptswAZ4p4760UwFu3Lih0wtZITKv7J8jqGzxBM6I2wNQ3RxqCv4zDnEZhRA34/p3rftcVLborP652qOVzg2mtrDwMI3efZVamQz5TwShQKkay5WVlaV3Bs/Y67GQy+XqQE0zN1yhULCCxoiICERFRRlsj7bq6mqeM5uyb4CMpX1oB+Cq75bhjjZA1cvMMFbQgvm+MjewmpjPfVpamk55TOb7rxnQb9y4EZ988gnOnj2LrVu3IicnB7t370ZlZaU6FWblypWc7YiKitKZ7Er7qQETdDO46vqrz116OjQ0z0/MuTMjIwN///23zrZMVTGuSbj27dvHuf+GhAJ6B8Zn1LaxkfvWGvndupkqeBFACc+Kulrefa7/iGblunV1zbW0twIutYZLtjUr5z9tNCG2sCk6HTJXD851OV1fQFy7Zx79plQ/YcvtMg7F7Yeg5lFPlNy5KRQagb/mhWvFihV6j81835nBdwDU1a7KWvVQb3crkDvfHjCv1zIsyfb155lygKbQN0ulq8Z5pCHXp7enS2VNsTYiDdnddGcyrfAJ4HyNsO1AQGA49FA4N9FdphRA2rRuUPfVq1cBQD3Qu7KyUiPvXHUjvH8/OwjTN+g5ODjYYHu0rf35AK9hNQKtjWQubpA76U/funaNPX6nrjRjXSoI48cff+TTVB23bt3Su05z/9o3tdoBPaAa13Pr1i0sW7YMv//+u3psAFdPuvb+AejMiaNdyMNcmk8vNdNknnuOPYZCO4WGqySqvm0bIgroHRjz5dEcuKOtoKBAnevO1GLWpJ2aY67jx4/XtUsj8HAXF8O76K5Z+xzZUTcgOvfTVxAoDE9g1Cueu8oBIQ2B3KUppE66ZR2VTqqKFMyFJf7pZbgZtAoSj9YA2NUjDH1vg4KCeLVD1pRdEUffNPZ8cunlCiWEklq0sUG5SqAuKDf2tODPP//EsGHDWDPz6js/uovrggIned0YisBOzS1pqsN5+FA3pRMAqpp3MnufuQG6g1drtGZpPnnyJEp8B6gHeo8dOxa/XcvU+dyyKLlnCjXVmkxfSJuyPwdlbfpyHxB1efhp/WYhN2B83X440l40xcfHQ+7qrv7d3JKRmjQraBkKUrU7+rQDeq6nDV988YXBYxubKO/w4cNWqZev+fSSa2wgc9NgSgqNoY7PhoICegdVXFyszj9jBpxwCQ8PVwfyTB6bJs0613zo+yqqbxY4e/zNewqQmJjAudxJad6MpIQ0NCLvAGQHqHLuizsM5dzm7rAPoBQ4sQZvaebHc0lI4P7umHMp1Rz8rs+1rFKM6ORtxt75YfJ79aU0MAOEmZK8mo/nmQob+nRIj2BVv0nQqLJBVOkL2j3RthAqZKev3b13Dxm9p7CWiZo/YXQ/CoUCAoEA5d66hRqyur6IyuZ+el8r8WiNxOEfqn+/MeZzo8cDgHnz5gEAlAJnKAXOiH/qE16vY9JWmEuk5qRxXLRTdozRntxS87ygfQ5hqsvcvavqgNMcYMsXM2mlPsXFxVabAIuhPcAfUN0oOSJedeiJ5RYvXqzzKGnixIk2m1zq7NmzOgNK9Ll48aJN2sDwv1f3xe+YcQ5uVUV46D/W4v06yaXof/l7JIxkPy5tUZKMQj92IeO+135AUfthKOykVeDYCIFCrpPLSYg1CDnK8t0Y8zm8StMhkwvg4qJ6AiXxbKezHYtAgLigTzE0ajWKOwyDh0ZKm7kePjHapO2185K1nUkqxEu921raLL0iIyMNrucq4clXqwLtFIXHLQHHcLReXV0NUdv+Nm9FVQt2sC7yZqf0MDe+DKVSqa4oxaS5KKF6kpXbZjDy/NmlmAGgyO9JFPk9iaFRuvM7AIDM1QM1j56I8cP9t9PsdQeAjB6T4CYuQbscwyUjf/75Z4PrtQe3G6Odo/7hh3U3K8z3WfvTbigtxRpycy0/f2nSNyjXEVFAX082btwIDw/unFlbaEiznrlJ6u70WxWoqg+41IjUj0YFRtraKfUfZHfnHvzUhCNfvtP9cBT6jcQTKaeR1aPuhkkzf9L/3nFk9J7Ko/X1/3f0Kr0PEUfvEXk8KJxdIfFqr/5daWb8qHBy0Zunb0xel2dN2n7EiBG4dOkSmjTRzX0GVCVBP3++p1lt4YOrFrmttCq4jZbFScjtarymuSMwljpTWg/BPBeFEzt8Kew0Eq3z6qozKZVKpPWfAwCIH103puT48ePI5tmzLm3iyR5LYep1VQlUu7eCm4FZ05lefu9C7qdmDY2tU0+sPX+NqYU9GjNeAb12DXNTCAQC1sxrpH7w7Z2vTz1u/ab+eeCVjeoTWauCeGR3n6C3N1xf5RxNTSVC1Lj7sJY1L70PgUKmzj3WZPKJuR51SgvD3eEf2LsZxE50AyjTInpxc9XMhiVtByKrmyqXVGlkEGId878Xd+/exaBBg3SWF1XWwMfD1eblKm2t/5VNSAj8GK3yb8JJKX9sAvqGSuireyNR7aG/dCZg+kzAt0cGY1DMenXKVUnbgep1fL5TAihxZ8QCvT3+2lvr1zCuVzLnpqzxcLZgbGIroh/vgF5z5j2GZq4Ts057GQX09mHtPDSDx1LyG6jjVZbBudxZrsoTdJGKWVUMTKGEAO0yL7CWudaK4FmeDZF3F93cfY0/T0DiEaT3m8Fa3erhTZS0H6z3eE7yWs5KDNYyNGo17/xM4thq3Fsho+erZrxSADy6Qb4zYiG6366r+JHnPxYdMiItbtvDJ4LQNucSnBQyzJ07F7GxsTrbhCXbvrpNfWhSU4EhUat1wq5m5dmoamH+AFBinlLffjrLKlv6q3/m+5Q6O+B5dErXLeHIyO80Cs7yGrTLvohyjSpQhR1H8G+spkfXZolHG9bAa4MvMe9IFiksLAQ6dmEtu/X0Mp43J8QeeAX0ixYt0ll27949hIeHo02bNnjqqafQpo3qhF1UVIRLly6hqKgIzz//PHr37m3dFhNe6iugb1l0Fy61+mfSM4neGwN+J+aOGedYvzspZFqvVaKpWHewoEeVbpUG7+K7KGk/GG3yYlHopzsS3rMsExWt9NfsJsRapE29UNJOs+dbiRuj9c8todpCgBp39iDUYo19POw8hjugN/JVUwqckNNlvDoAyuvyDHwKbqFpjf5ZdsOSC/H9JK4KINZj2xRDjUm0ONa2LEmmgL4ByhByVy8qbdWL9Xthp5HwzbvGuS0A5HdWjScpa9WD1eGkcDLeocMMsJW6esBZpkolYT5Nd4d/wDs4lj0aC1CfGlLaLuGHV0A/btw41u9JSUn48ccfMWPGDMycOVM9IxjjnXfewZEjR3Ds2DGMHz8e5hCLxThy5AjS09ORnp6OiooKzJo1S+/MX9pUNWj3IyYmBiKRCH5+fpg2bRpnyTZbbWtP1qjlykfXu7oTMGhqlxWDppJSznXNhams3/U9DuXzBKB91gWj2zBHAWA4cFEq0EKomn7a734YZ0Bv2y4TOpES/fQNyqvQ6J2MG/MZxxaqD21217qa4RKP1nCRVaOyeSe4SKtQqTXwMK3vTHS9c1j9cZc7uaKw00h2j6aBzgO5QomSKil8vWxTrpJhj+DDJz8ewna6KUakIRBgxu+6M8BCqUR1M92nRYlP6nZaahN7ddA6hPGLQEn7Iar9j/gv/NL/VbdNnxtjPsegC19DoJTDSeO6l985CB0zznO+5n6f6Uavw+aQPJosjK5GjYdZUd+BAwfQsWNHzJkzRyeYB1RT/s6ePRsdO3bEgQMHzGqYSCRCWFgYpFLp/2fvvMOjKLc//p1t2d000nsjlYSEjrQQukBAQUGKSLkoV702miBylas0QbBxvXot6E+4NkARRUBBKQJKlyq9SICAtIT0ZH9/bGazszu7Ozs7W3M+z8PDZvaded/dnXLe857zPaLK7c6dOxcbN27E8OHDMWvWLKSnp2PhwoW8agjOautOXGXQ85H++yeIPaP3lsed2QhFDb+nJP3g/wQdzzTePfDGaTC1XG1Zvwr+SYOQ25Gi6g5abZ3D+553R/0SjYlTzUcIalccf5fh9ensB3A5vhNO5zyAcxkDzdQ3boXrE1kr/eore1owYk5lD0UtTwja7gs30TbBelVQKXCmQW/pHpDyh3mlScIzuJTcDRUW66/YPlf+aDEGZSbqUqa5WPaccXUKP9QoNSgLijNbOTPleIvRuJzYRfCxb0ZkW31fB+B2SFMUx9qubKuD0QpC28cEj6Ex4Yn5iSyiVG5OnDghqOxxUlISb0ylECIjIw2x+7du3eItU2yJ3bt3Y//+/ZgyZQoKCvTSVHl5eSguLsbSpUuRn59vmIg4q627cWUMvSlBN04j6MZp2w2FYuKhTz38BW6FpnENfUsPdJ3Ja57vRV5nXnjCU9GUXob/7YsoDU5ABW+5dcvYygsgvBt7czrqZApOkTdL1CrUONThGavhATcjslFzyvwe/f2xYvTLsu88FUNBQYFTkulUFTc5RaUI7+HaX38BfJryAizx0ibJqPKzVUDMvmdsUUpPw7FZ+EJpahUa1MlUuBbVAvIa2zUebFGr0OBE3kMAgMgi6/bYlYROKA1KQNrhzznbr0W3QrUqwMJejQtPDkUS7ca1VYxDaBtLMAwj2ijdsWMHNBoNunThznJ79eqF69ev4/jx405v627c6aGXGtNQHHltJUKvHkbINaMKsxbOFcbEomf/Crh9Hol/WC+axRowLbeZF6uJPfMTko816Os3EVnt1l78b19E0olvkbn/I7OQJVskH/8GTQ9/4aSREZ6OaRLhn037oFIbblP540DnaYbXfMoiLEU8tSV+O38T7ROdV1CKxVmSwLm/vsEpKkV4DxUmqmeA3lNuvEJljcsJna0f34aijhAqNMbH0D/DKuuPey5rEG5GuDYHsVoVhEq1+fVaEpyI26EkpQy411lqC1FWX7NmzXDmzBmr8kWrVq3C6dOn3ZIUe+7cOcTHx5t5y5OTkw3vO7utu7FUztyjcfLMV1FTDlWVfrlMVXkbEZf3IvKCbY1aVoXHGP/SS9CWXOJpLR2h9Zr9xviV68t2K2rKDZ5DlYUcBT5Crh01JGcRjZs6udJki+0HFX89CP1+pvHkV0sr0UTjGrlKvmqQriBr7/tu6ZewTa2FGgw1Aj3NpoWsTKnUOG7QX0noZHh9I7IhcdygsS/JM9H6MWoUatRZlOD0XOOVMEdUyM3o0aNx6NAhfPzxx/jxxx8NKjcMw6C4uBjbt2/HxYsX4efnh9GjR0s9ZpuUlJQgOtq8umJgYKDhfWe3NUVoMQalUgml0vRBaz+2Ksp5OtHnt+KyndUq+amXUwUQdWEHIv/8lfOuNbkye4g+v81mLKO9KE2KZimqSnkrCdqrrUwQgF4Jx5gqdRPB+1apAg2T48tGRokxG1woV1lXJ0w6V2r8Sy6ipEmSW/omvB+L1xzDVmm1fG+/HN8JUX86XjTpaJu/I/LPXxF1cafDx2oMeLKHXpRBn5KSgtmzZ+P111/Hn3/+iS+++MLwIdn4otjYWDzzzDNISUmxdqhGw7hx4wS1s0fJx1fJ3fkaFNVlvAZ99q5/m21LO/g/aEssVIo0uh8y0IHROebJC7h5lhMDyaItld5br6wqRdD1k7gdmma9oQfH9BEeTP09u6peio+vqJslDnachIj6yfFfFpRe1v9xFQsHSjvJtYS7PPR6PPcBTziPGpW/w8ewWZzK6N6+p+BFTh7LxdTeiCjSK/lUqkOgYxio61dwLVHHyAGGqZd01lMrV1m59unZ4k2IMugBIDMzE2+//TYOHjyII0eO4Pr169DpdAgNDUV2djby8vLcNpMJDAzk9Zaz21iPujPbmrJ06VJBcZ5SeOcB8BYC83jqzxd5TQUYoxuO8U1Nw6MjH2wlljzx5FocCnsaUtyYUg99hivxHa22iT+1Hn+m3u1wXwAQ+ecORP6504IEIcB+JkX1HVSCf/k3vGgPrsW2Mdmt4btovflf2EsFrBolrIf+VlimoPalJhVsr9bHIvNVYq6r06G4tBJRAuUqa2pqUFZWhvLycs6/srIyVFRUGF6bvs/+27x5s6B+nIEUiYtE48SSQc/WjDD10OtgMn2s3//Ppr1QJ1Mg/dCn2Js/E81/exOqytsAgLNZgwzNf+84CUHXT6HpMf5waS+zGAgTRBv0gN5ozMvLQ15enlTjkYTk5GRs2bIFtbW1nHh3NsY9KSnJ6W1N0Wq1Tkvc4sMdBn3SH984dgB2vBKO26/iJvK2vwpFtePFr9RlV6GoLrXaJvLibyhK7s5RHMn5bQkOt3/C7v7q17ystgi8cQZph/6HffnP87YIvn7C3KA36wP679xDlhKbXD2MmxHOLUREwO7f+49Wf7PZZtWqVSgvL8eR69XQ3ZDjlVc2GwzyykrLhq9CoYBGo4FGo4FWq4Varea89vf3R3h4uKGN8T+1Wo1p06a5zajnOB+cSHjRblwTID1IeA+WlMp0bH6LicJbpSYM6vK/DH9fTO4OQK9Exa4+62RyjoTsrdCGAoi1Si1qbRSpquZV92EMjyKzSUUjw+dCbkyprq5GSUkJlEqlVS+1q+jQoQPWr1+P7du3Iz+/IWxj48aNCA0NRUZGhtPbuhuZTObyuNLwy/sc2j/w5ln8ZaLR23LrXLNiN/aitNOYD7tywOJ7fuU3oLK2rKnTodW2edhj5PU2vgFLDaOr5SyfCiHxxLc4kz2Us635b28KKq7iClKPrMCeAjLonQ9bZE26CXR4eDi0Wi22Hy3H+FZNkJ/ay2B4q1Qqpz0MFQpJHmWi8C/5E7FnNqEopYfTJsay2ioknFqPa7FtEXztGG6FZ6HFLwtwoPOzkvdFeA4VJkXkKjUhYOpqUFX/nGSrlZeENBXdR62cu4pmWovCFJ1M4bJJLGEfDt0F165di3Xr1hk81D169MDTT+uNgq1bt2Lr1q0YO3YsYmNjrR3GIrt370ZlZaVBseX8+fP45ZdfAABt2rSBWq3GwYMHMXPmTAwfPhwjRugLq7Rt2xYtW7bE22+/jbKyMsTExGDLli3Yu3cvJk+ezPGuO6utu8nKysKhQ4fcPQy7CLpx2kwnXV5XDU3ZVfjf/hN3+DSFJSThxPe42LQnNKVXHDgK1zhKOPGdY4MSSeLxb6EtKeL1trCVe9l4zBbb5tu8iUsJVdj0DIRo0NsLWzH7hX2/4o2OOVDIXSOf685cLU3ZNWjOb0VRSg+02fISZzIvKfUTr9TDn+vD5ARU0Ca8G9N8rQupfeFXcR23673ulTzSnABQrQo0hKcyOh10xpd6/etqpRaKmgrAKH7e6h3B6M0jbR5F9p53BH4KwlWIMuhra2sxZ84c7NmzBwqFAomJiWaSjQkJCdi5cydSU1MxbNgwUYP7z3/+g+LiYsPfv/zyi8Ggf//996FW65eO6urqzMJLZsyYgU8++QTLly9HSUkJ4uPjMXXqVMMDxxVt3cmoUaMwffp0dw/DTlhFGu5vqaq8jdgzG3GixRjBR2q9+SW7e48s+g0Xm/a0e7+Am/pzP+JiQ6nxllvnYn/+DEMhj+Sjq3C22X2CjmcaVylmqT3i0h4AwM16gz729EaLbRW1lS416BNOrUfgrXM4l3mvy/ok+GCf0NKG5v11pwpNNEqXGfOAZyyDx5z9ySX9MIb/KeK50SHwPD+XMRC5v71ptc3vnaYi7vQPAPST+/2dpyHssvnqNFPfL+vJ14FBeUBU/WujNk6kWqmFjpEblLVMqZMp7F6pFosn5yaKMui/+eYb7N69G+3bt8cTTzyBJk2a4J577uG0SU5ORlRUFPbs2SPaoP/ggw9stsnNzcWaNeYFgjQaDSZMmIAJEybYPIaz2roTT3jA2UPujsUOh9YY45SHna5BAlP/Qv8q88BHAPQJuCzyumrk/PaW4e+gG6eQdnA5TuY+aLsfE4M+6cR3eoPe7EYi/WdU37mKCn8nSw3y3BC1ty+iLCiOs63J1SOSS4ESDbAeeqnvFBv+uIo+Ga6Rq/QkYs9tcdqxTSVGicZJpSYU8mrbNWbYkJwahcaqehXrPGKr2FrielRDnmRK06bYX//6XMY9UFaXIu7MJptjcoQ/U/ugyi8YmQc+NnuvzD8SR9s+ZrWStZR4skEvyoWyadMmhISEYOrUqWjSxLJ2cXR0NMfDTrgObzPoVVUlNhJX3f957DV/jCXElNVlCL5+EgDgf+u81f0sKR/4l1wU3Ld4nH+z4vsG/Sr4imN57o3TF7gVnuWU4677oxh9s9xj0E+cONEt/fKhrLjl9D7abP4XNKWXOdvydixyer+E+zB1fFjjXMZAs223Q9NR5h/F215IFd3Q0IYwnyp1MKr8ggWPx1GqeYqF6WTSKAMKxV01L4QgyqAvKipCZmYm/PysS5IFBQXh9u3bogZGOIZM5rrlbkcZOlSfoBl086xhmyWz+e67pZGEtETM2c0IvGWp4i9XhUdeUwFlpfTnN59B33rzS0g9/LnJVu631PSQ6fsNhF3Zj5desj8MyTnobNvqFB/slbByldFB1pU0nEVOTkMydW5urlvGwJJiQRpQLGarjuyKoa4O4UV7EHNWr/JjWpDOEgqB7Qjv5EpcB4sP0qNtHwVg2zPPh8rE7nM0F2fy5MmC2tUo/fF7p6kO9SWWzMwGaV9PypU0RZTVp1QqDYmq1rh69Sr8/R0vvkDYz/Xr1gtMWGPGjBl27xMRId4jZ1Z9l29Jq/6m8cgjj4ju56GHHrI9lj+3Q2vi8TIMoa4G/iUX0eSvYwD0sf15O18TMRLrN0A+g54RsOiuqLFcjVhVVYrevXtbft/gTXTxSohOB7+ya4iO5nqMsva+j5CrRyTvLvH4t5If09uxJWNnD3sv3kLrONd57EwJD29QBTGVEW7aVLwSiBgYiZfmGV0db1hB2sHliD+9we5LN/iv4xKNjPAUjBVrhHjbLXE+rZ/F99Rq43wrHSo04aiR+6FWpsSdQK4Ayi1bRREh3EB2RhK/JUztjLCwhjovAQEBLhuHvYgy6JOTk3HixAmr3vfi4mKcOnUKaWm2f9DGwKRJk/D4449z/n33nfMUUA4csCy9aIvOnTvbvU9QEFdNpWNH6wWYjLHnHAkOdo2xMHjwYM7frbe8DFVVKUKuHUX86R+d2rfN6oENLe06rrUwLFPvX972V+06tr1oyq5CVX4dTQ9/AWVViZkt4l96CQqjWNGEE2s572fsXypKbjE7u5mY4RIC+f5YMfpl8WtrO5PmzZvjoYcesnqOS7FqaU/NFSkNEGs5QcrqMshrqwx/R0ZGounhLyTrm/AeDrd9zPC6Sm05HNoWV+PaG16bTvg5HnodUB4YgwNdpmN//gwca801hNmcMVM582plg6NXaHiwmAnylbi7zAriCcE0+qSmpgadOnWy+ziuRtQdrnfv3igrK8MH9TztAAAgAElEQVSiRYtQWmq+bFdeXo633noLNTU16NOnj8OD9AUWL16Mt99+m/OvsLDQaf05EkMvZl/TfSZNmmRzH+NlLFuw/umQkBAbLWGzgNfPP/+MsLAwpKenW2xjqmvNSBgCEmAxpIftTIYxY4Qr+ghFyO+qLb0EQK/dH+esiYtOB/+Si8j97S2E/HUMTa79gRRZQ7zxP/7xD7NdIot2cYwUddlfiNbKgLpau7pOSrRc/M1RhmXrz81mQY039n/nuRvokGT7GpWazp07GySTWUzPd5VKxfnbbGVQJIMGDeLd3sLJBRfNq4jqP+/atWsNVUJNiXZi4i7hfowLGgJAnRPiy9X1xm6tTGl1ovlXZEPIm6nT7vdOUwAA48ePR1yc8JwAe7mcmI8SE+lPW0ycOBEjR47kbKuoqHCqvSYVogz6nj17olOnTti3bx8efvhh/Otf+mXAo0ePYt68eRg/fjwOHDiArl272uWpJaTD2KjdvXu3XfuaerKMi2hZIjGRq1Bj+jDVaMxlEefOnWvhaOY3iaZxkQjXmIsyvfLKK2bbjJfE2KWyHj16gGEYJCQkICAgAK+99ppV9SXWoJ8yRX/j6d69O1599VU0adIE335rPWyD77NyxmcjKXbKs9NsZtI/+uijnL/Tf/8E2pJLVvdhDKomlo/NGBnIrlDWmDJlCrIrTiJPfhXQ1SHp2GqMGzeO0yb+5DoAQMi1o5ztnaIVhgmIYJy4bNsqWn/N9U12nQSopxHkp3CpXKUpxsv3piF2bEw9u8o3ZMgQs/3tWZ386Se9TKWxY+DLL780vDYO/5GK4OBgw8Rl4MCB+PDDDxveq0+6BwBFNTf8TlVxE81/fRPy2oZqvb162h8/TXgXtwWEvNjLoEH61ev9+TNQYyVcz1im2fSezvLYY4/Zvep+113CQon8/Pzq5SyrzVQYrYm5jBgxwjD59/f3R/fu3TFy5EiPVrdhEX3nnTZtGsaMGQOFQoE9e/Sa10VFRdixYwfq6urw4IMPCvLSEs6Bb2WENU779bMcHweYe7Jee812nPgrr7yC559/3uL7W7dutXkMS7Rv3x7rP3oLV2ebj5u9yJYsWWLY1qxZQ1gFW6tgwYIFYBjG0D47OxsxMTG8/eXk5BgSddm4W5lMhoKCAnz77bc2Y+jy8vIQFWWuIsBOrGzdwFJDNTZvHkFBQZDV1RpWDoJunIa8rtqsnfF3wRr0poY6Ozl44Ob3hm2PP/6408Lp2QnFpk2bMHz4cENRoBbbX+VU6R04UK/QEHXxV0ydWp8MZbRS8lSuBqHFh6wm9wWXNigD/fG4c6vPDmmdiIcDT2LBqMZrKPV2s1wl63Vft26dWcw8a+yvWrWKEwLwySef8B7LlugDewzja9W4wFX//tJ79IxXKCdPmsQJdZw0vOH+6FdxA0FGMfLy6nL4VdxA+/bi46rdgV+Z86ps+yLS1xMxfwgkJTU474Tm39gb7mZuSzBgHX32qMzoZHIwdbV44IEHONv/+c9/mrV95513zMb65Zdf4uWXX0avXr04z1JPRbRBzzAM7r//fnz88cdYtGgRpk2bhqlTp2L+/Pn45JNPMGzYMK+TTvQl+EqhDx8+HIA+B8IU4yJUQUFB+O233+zqT8hvPXbsWKvvp6SkoMUvCyAzCW8x3c9WggrDMPj888+xc+dOs4vf+OHLvmYrDLPk5eUZVhzatWsHQH+DYRgGarXa8Fl71nu4srK48n8KhcJirO24dgm4p2s73vdYYjR6L4QlT/9HH32EHj164N0HWiL56CqLhkd8fDznPGAYBtu2bTNr16qVvjrvc09OQHx9oZH77rsPzrDoI//81bAKwBojOp0ODMNAUVNucfWAXU2ZHXYIKUdWQFFdBo1Gg4ii3Xgm5JShnWnSYEpyQ4iNSi4zc9BnRkiXtJ8SFYb3Zk0081BP7ZYqWR+eTl83xM/zwecdZw364OBgw+slS5YgIYEbY/vwww8jOjoaa9euNTsGH5YMjC5ZDZWtVRU3BR3LEiqVCnPnzsU777wDhmGgqrgJuYzhGB/5+fmonNegAsZ39Tbzb4i1jw10rdyfLVS1fEIbnu8VbWwY/yKVWmGrUMb2wZYt/GFfxsIagwcPxoABA/j715mGmjWwcuVK054B6Dj3g6ysLBQUFGDTJq52Pp/NFBkZaXAKmibZeyIOr43K5XKkp6ejc+fOyM/PR3Z2NpRKz7pRNEasGdgBAQFmHmTT+DAhM+oXX+SWOE9NTTVLJg0KCsL48eM5YzI2VN99913OuBQ1ttWT1q9fDwDIyMgwLL8xDIPp06dj2rRpGDVqFFJTU6FQKJCRkWHYT6lU8hq/prJZxt8dwzDYtGkTxxOm1WoxdOhQdOnSBYDeADDmpZde4igFrV+/Hhs36iu1fji8JVolWfdiVlVVoUOHDoZVAuPf4uuvv0bz5s0RHh6O/LvaQmG0hD579mykHvqU09YUtVpt0Whu3ry54fu3tiTpCAmn1oGBzixsif3O2WJy06ZNMztHX3jhBTz66KP4cNo4pCQnoW3btli/9lssfGmmxf6CjDyxkZGRnIfBU/kpkoaHyGT819y49vYnZXkrscHukas0hk/NZtiwYZyJd25uLmJiYtChQwcEBARg1qxZyM7WFzEzXskz5p133uFV5ODb1uriBmiVDdsdrWIpk8vRp08fg2GS++sbUMplSEhIMDgksrKyOKurfM+AFG1DSN3ADP01HnT9hENjkwqZlQJIhHv4M9V8pV9I5Mnhto8bXp9P62c4F69Ft0L4S9yKymwMfdu25tXQOSvM9c8t42vTlteckTF4cOSDCAsLw+zZswHA8FwxFfIw5amnnrL6vici6mn2xhtvYMmSJSgqKrLabsOGDXjjjTdEDYxwDGsGWc+ePfHVV1/hhx9+MGyz5A1u2bIl5++srCzDcpWpDGJeXp7ZUtlTTz2Fxx5ryLyPjY3lhN+0adPGxiexHKISHx/PeWgNGTIEQ4cO5YzZ+GE7duxY/Pe//zX8bexZ+/HHH9GrVy8AQIsWLTj9mF74DMNg2rRphpAQvvEGBgbixx/1SaVhYWGcz2Aaz2dKVZXei3bvvfcCACfZLz6+wesXGRmJFStWYPny5QDAG+ajQi1kNRUW++ppFEdrlgjspFoGu3fv5iQkTpw40RBjyY5h6NChZsnN99xzD8LCwtCtWzesWLECMpnMplxqs2juRMwUd6whhhQfdkOvjYcvvjBXeJk6dSqnhsVrr73G+XvAgAGIjNSvLgwcOBCzZ8/mGA6TJk1C27ZtMXbsWIwePZpzbD5pZtMJQd+2zZC9621xH8gE/eqZHoZhMGDAAEyfPt3MgI8t+tXwWqlUYtq0aRznQFh9TlLkn7/C3Xw9rp0hFDBQxX/f+bgffzEkwrWcvGatAKQe42rjV+Pa4+KdOtTKlCgLiEZ5tf65WxzXHku2nUHIy1vx+uuvmzkDdTod1wGna9jOYmznsE6iGrkfKo2KXSUkJIBhGJs1bEyvH9Pr3BsQ9cTeuHEjfvjhB0yZMsWqPOKRI0fMljUI12Arc1ylUpkpxvCpi7Cw8d/Tp083GJrWYBgGzZo14yx1DRs2DIsXL+ZtawobHgTYp4ZjivHFr1arOTcA44cbu719+/YcI1cICoWCdxnR2qSqaoHl+Fp2zElJSYiKirL4WzIMg+TkZN4QKpZE5hZaWJCgzM3NNUsqnjmzwdvNTow6JztXtSQrKwupqalYt26dwUsqFWFa/WphQao+TIthGIOLyV05Tkl/rHZPx4QgYmNjDWFoALBs2TKD6kXnzp0Fee5MDfpmMcEo7CaNQITpxDQzM9MswXfs2LFoEWa0QiCXY+jQoZx7bZCf/n3jEEZ3odPpUFdv0GdHBeCuYL0TwjikUqugEF5P4HpZldX3K9Tmz4v7vr2K65HcQm8X0vph8yl9jkSXLl3QunVrzvvca8iKkEP9/6yT6EpCZxxvYa4Sx577tkJ/rdGhQwfR+7oC0S64qKgoVFZWYtasWTZVPwjPhV2GAixnoluCvUAsKUN88sknhrAUQB/XaixfZS0siE3gtabQY3zBWzpWba1lWcN27drh++8bEkHF5Hxs2LABHTt2tCmVaYrSSqgHG7cP6MNmCgoK7Diy/jOw39uDD46ETMf9DprVG83sSkRkZCTat9frDg8aNAhpvy8DAEMCXXqEawpphIeHc36D3DClXm9eADHnNkNZcctMOYk93uOdkgHUnzOckCoHB22DR1Kq4a/ihhKMGzXCQmvC2TRv3lxw28DAQMyfP98sR8aYnTt3Gl4b36tMTjMwAEI0rgtFfeKJJ3hX7NjrofnO1w2vLYkDuBIdAEauXzFgZHJkZ+iVg8KNJht8l2r3NPdPRhobtvwgh+/in/AmJiWaPSf57r98DjWFQomo+uKDOp0OqampuJVsvy787t27eStIb9myRdDz31h8wxMRbdDn5ORg7ty5CAwMxHvvvYclS5ZYNZ4I98I+bBITEw1JHoA+bMZawQTjk1wulxuWl//9738b4jVtqUHw0aJFC5sxbPZg6WK0phYjl8uthmywsnTWCA0NtVrp7s0337R5DFOMVw6USqXgiYZSqYRf+XU0udoQ0mEaMgUAsvrCVc888wwA/ZLk2283hAME39Anmep0OsQE+SHCX2V2DFegVjAItCHxycIu15uqOz3bXZ+QyvcVTu2Wiv892Nr8DQlhGAaJIVqUzNUrkMhljFfGZnorH374Icfh8NFHHwneVy6XG8LwTNm1axcA/kQ6AAhuwg0T1EEfWgYA03u4pthimzZt8ECM3tMdHKy/18pkMvjfugC/yoa6D4/+/e8uGY8t4projb0RrWJxd6b5fTlSa36fzYuR7hlCOJeHRj1klujK1N+3b1dUY8o3hxEfH2+WA9OtWzdoNRozVamTSb2tKt7YY5dotVqfEHHhvxsJJDMzE4sXL8acOXPwww8/4OLFi3juueckNdR8hUmTJpklmhYWFrq8WMGqVas4f8vlcotGZ79+/XD58mXD3zt27DB8BmMtWL6LytbFwSY/GsNeqEJKKxt7sa31161bN8GSmX379kV5eUNSrml1OzFYnyxJF/bx888/w9/fH5qyq0g9sgLAdJv72KJrahgUcgY3yx1L6DPG2KPpCoLUSvzfiJbokhIKgHueJIRokADnasaz3QX4OXSrJUSSl5fnlDwuW/e3gq5dzbaxjpSJXZti/qaTZu9LzahRo1C24xy+WPE7QprowyD69OmDrDe5RpXWaAWpVVwQ9l20XAHeGXw5ug26pIRi/+Su2HX+JnrWS58OX7YXg3NjMH/TSfz8eEeEV10129faSifhHMSeu+XVtRZzli7drsSizadx7YMPOF58hmH0uS1nGoz/uro6w/WXkpKCvonNcawYmLH2KFT19RdiYmPQJbwLttyxbaRfi2qBy7cr7JLD9FQcvhrCw8PxyiuvoFOnTjh8+DAmT56Mc+dsVMJshLi6UqwUmE5ALCnfmF4Ir776qqgqjPbMkJVKpWEC8I9//IOj/2yMkHh/loKCAvTt21dwe1PeeustjmqPLb4aa12+0pj//Oc/VlcCAgICJPMwsDGG3dPC8XyvDOuN7cSSR5MP9vNY8pIK5aG2CYgJ0htTMhd7YVzdHyGe6OhoyarHmmJ8FtTU2T+L5zuLhFzvOpMACePPx+7PTnYB/TXvaoa0iEVEgB+C1EqDMc8yr1CvYpLQRIOsrCyEmRj1crq+XM7W09dF7Xeg6LZZuE55tT6qg/0Zw8LCzAQ6/MJicUmbAFZELDW1QQY4OjrakG+3+tBlHCwuqz8eg1mzZkEmYMJ3LmsQdpy7wXHmeSuSTG9VKhWmTZuGkSNHori4GM8++yx27NghxaEJB/n1V+crGBirLgB6r7hpcSqpGTt2LEaNGgVAH/tvLbGLVZtxNh07dhSk2sMityBzyEe7du1c8lsC+vhbY9iJkz3j5UNWaz2ZyhLz58+3q32HJMtJvG1atkCgn1xS/XlrmBpd9lYbjAmyP5yNEMekSZMwbdo0yY7H/vLJoVwDpVaEQW/Krl27RMtDs/lJcrkcukUDwTAMNKVXEF91CYvuyUFiiGdUOv5qbIOMYdMwfzAMg8zUhnCMcH+V03NgCOn4iyeZ9sJNvRFt7WfU5uSj0iiYRKVSce6r7NV05Eop5zisA1LoPZcMehOGDx+O6dOnQ6fTYf78+di3b5+UhydEYM2rKwQhXiBH6w6Y6tMLuQBbt27NGx/Oh7M01R1F7qKHkaHKqkh0AJqGaXHhn73QIcqB39pOY7Z58+aCk5Ba5OVBbrKClN801Kzd6HaJOPN8Lxyb3sOusdhL0Yt6SVd/C3KwhOchk8nsrmgJ8N+vdDpAIZehekEhGJPKD7USxNkJXY1jeEyl4cOHY9OmTRz1rJgAOVRKvdF0bqZjK2JSMShXn6wbbpTDwzqKBmSzCZKuH5e9rH24vbuHICl+CnFm4zeHr5idjfuL9OFdfOczW3CQj89iR/JuLyqtxtW4hpVvvvPfEmVlZYLbeiqSB6B17NgRr7zyCsLDw3Hjxg2pD084mXXr1hleP/3003j55Zdt7lNdXS1J34MGDZLkON6Cox5vPky964B+8mOslOOHavhDuLdcp9NXWY0JUuOXKda1fG0cya7WWq1WsEyYTCYzc/Ns+Ye5+pJCLkMYT5JvYbK0hndMkBqDm0ehsHND0u3KMW2RHWU7L+PAZHtUjQhPRK3Rh3gp5DKzsBcxITdSIybPbX59+AtrTLuKqy9x7zkMA3S0sgrnaQT6WP5MZY34WPMlv5zl3Z4+z1zePCIiglepyXgCnZWVhV/ONIQA7btchlqF/tqrrdOZXXvWyMzM5NTM8UZEnWlz5swx0zA3JiUlBYsXL8a6det8ItGgMWGsGx8aau7hNCUvL0+yuFMx3jFvRmH0eWUMIMVz3rjwFEt6ejoWLVpk+DtIV46n/PYAuF/QMXXQGZa2LVVDFUKwBEnGziIyIhw4e0HSY64ax/XMDc6NxuBcy9cKm5BonKRoj4eJ8BzS0tI5f7O/okoug0bpuvuc4JAUAfce1jD9dFRrBM743kZr56ADMKJlnFeH2rSIDcKBItcmHnsjTzzxBHQ6HT7c9Sdne79+/TDto7MA9NVl//P5fsN7FTUNJ7Ji6rdQyhmrq1msEo5OB6SlpXFktY1Ze/QK+jfz/MJmou4subm5vIaDMcHBwRg2bJihLDXhm3z44YcWLwKh5Obm4vXXXzfMvO1JnPRmjPN1pEpoFSId+/TTT2P8+PF2HVeK0TlhQYKD8eEfaBFr1751Op3TC2gxjPWHC0tKaIPKQ6jWddrl1uALXyIsY+lXrlxQiLhg14dhRQTYymnSCb7G3anYpA/DAJqGatE5OcTMA9s3y3rlaHdges13bUra+db4604Vzt8og0wm4w0Z5tORF8J9H+mlZn85cx2XbuvlXDdv3sxpU1ZVg5pacyd04fu/ierT1TQul2gjw1hb3JMJCAhAly5dDEo1phXjfJVWccG2G9mJkPyDzMxMjlKALZ7rkY7Vf2vwNs/slW6ltWVcqfNrWszJFnU6/fhY3Xp3oNPpdbWNv6XtT3ax2N6V8J1W8cFq842NEL5rLsOoGJtpDL0ryY0JwsN3JeKbv1mP49aBsenON1bDcRc66Ic5rFUcvv5bezMd+gUDpK00LQWm50fzaM9dqfQEZq3/AwM/2GW2fb8dqxp8K5tfHdRLcPd9byc+23cRgLnzMP/f2/H6ljMAgK8PXrJbxMDdCJpqv/HGG2AYBg899BBCQkLs0vVlGCqk4i7Y6p/eAuvpX7hwoZtH4hqC1Eo0iwrA0SulkDGAFGXZ5HK55ApDkYF+iAxsUFt5uV8WZv94wu7jONtD7wiRASpU1dbhn73SseCnU5z3/t4xCe/ukF6K99GOSXjH6Lg6AAemcOPnA9UNt+juaWH46eRfko9DCLyJn24Yh7fQKr5hsm5PHK/UdEgKsar6xJKamgoFzwXaPDoQhy6XYFy7BCRZUb95d0ge/r7id4fGKhRjY+3BNvEY9T/PF9+YX9gM0787CsD51am9HXuulm+PXMHyvRcl67u4pBK3K/U5gYM/2o2ahQM44hW1dTqn5L5JhSCDfuPGjWAYBvfffz9CQkKwceNGwR2QQU8QltnxZBc0mbmu/iHl+IO/e/fuZkW3PAVn3ghT1ZU4eUtvHIvp5ZUB2dDpdLwJX+ECKuXauyIAAC/0yeAY9Bql/cfwU8gcSlITCt+ZWVdv5E/tloqFP5/iadE46NKli001JkfPfGdPCQL9NWaa7rFBavTKCMehyyX4cLh1RbEJHZNcYtB7mcMUgN4GmtYjzWDQP9g6DhO+dM3kx1uxNumJmbXB8Prz/Rd573/2TqLZ/kyLPRoP41ppJSJe3ADdooF2HduVCDLo58yZA0CfdWz8NyEcT6kU6+m89NJL7h6CSwnW6GOkpfLaKBQKl8h0Fr3YG7H/+gGA8Iq3ziyylO1fiTN/7RG9v36ywaCaJzNZyLJr6bz+dvdp/G3M6pNhMQRLt2ggmMlreN/7fUoBMuf/ZHff9sL3FaSH++PS7Uqn9+3phIaGClZjEouzfYIfDmtp1sf/jWiJb49ecXLP9mN6G5nTLwvPf3/MPYMRgVbVOHLExDDT6HfU6XT4+tBls3vP5RL77jn/WHUQf2ufYHRc8zbsNobhhscZv67kia33NASdWaZJCGKTEhozixcv5pQ0Jvjp399+w4hwPTFBaoOhKXRtwZkrlSEhIYiNtS8R1p1cf/luNNEocXpGTzSduxEv3p1p1uatwc05f/M9iFLD/KFVyVFW1RCw9dXYthj80W5Jx2va9ev35uAfnZORONs1RdsaO86uONxEw598LWSiPqmgqe1GEsE3ufbkEIgQjRLBattmVlKIBudueH9hI0eZ8+MJ/KNzMgCgqrYO9320G+8OybP7OGevc7/Lksoazt+28rkmrj5kd5+eACXFEoQHwN5efFlNxJlGyQMPPCBpEnhiiAYh9UZOdKAaBanSKlOEaPXVDlPCLE/yn+iSYnjdJyMCj9c/6Fj+c38u5DIGr92Tg9wYfaLdwOwo3NtcGhlZY9QKGSKNlFIYRq+xHmDkbWwWFcC3K+GlqHgKCC0dZh5680q9Pr0r0MH6aoXSw4z767P7onkMv+a/2uj71YoI2fNVdDrgQNFtDP9kLwDgn+ssr74s22Nf/Px3R67U92F5pjrnxxM4fvUOAL305ZCPpXWOOBMy6AnCA2BtXb5iSJ7Mjdl9BavX3Fdf+dEZyGQySeROjT/JT493BAA80SUZmx7t6PCxHWH93zsgoQk3KfHuzEgA+vjlgdlRiAtWY1qPNMnVhIbkxUAll+EDI2OuWaS5UseK0W0l7ZdowNWJtTdm9+VVtRlrFLrAopC71oywdH5HBfohKyoQ1192pPidcznzfE/D67HtrIeBNHa+OaxXpSkuFV4E0RZ/XC3lDW99cLl+8nC+fpXEuMnK3y8BAFYf8rzwM1MEPQGff/55hzqhmHuCsE5csAYnr91x9zDspolGiYQmarMlTj7uSnR+bL+jGJKjAIP3Wa8f774xCWFO/2aY09/cU/pg6zjJVCBYr1Z6uD96Z5rrfWeTHB8AeHTSnFDYEBxPszOtGb7/vk8fohaibVhJGtQ8Gl8fuuzsYQkmOZR/Rc7b5BFdgRSFFqtr9Qf5bF+RYVtppbmeXIVJYi3fJOJYcanjA3Iyggz6gwcPiu7AldrTBOGtjGuX4FWJXcYcebY7tNPXunsYHMQ+C5T1ieuhWiVSw/1x7SXP9fYJ4V93Zzps0DOMdQ8xmSL2M6VbKl79+RTWT7gLd//3V3cPxyIBHhYKwhdyo9PpEO6vwv155jk0DKNP7h396X6z9wDgpb6ZeGHdH9IP1E42PdYJPd/Z4RVGozcy6ZvDAIB9F28BAK7ese7133Xhptm2I1dKpB+YxAgy6N9//31nj4MgCC9FqNwin1fX05DVx+Buflwf+hQmQLLSXcQJLOzUKz0cP5645lBfOp0+AdcSx6d3d+j4jQ173VzucuCOaBWHuRtPuqdzHrqlhpmFngHWVcJ6ZfDfd3Y9k4+2CU3cZtAb/6SxwWqEaZUI9FOYJXA2NpwRXlZT7+5nY+75The+CrHGbHTwHuoKBBn0kZGRzh4HQTRa/FVyBAlQQvB2QrWeaRxXvsKVjlXIGE5BJ3fwvwetV0tWyhnepEVTGAb44dGOFmUvhcAW8smODsSUbqlYbRLCwABIj6CEWDGwhvrRZ7uh2YKf3ToWPqRWkDEusCSGeTwJuGLNv7YJnhUCqIM+X2XprgvuHorPw3fOLNp82uXjkBpKiiUIN3N7Tj+0iefXICfsx94oP1PDuHrhAAlHI44RreOsvs9X2txZ9M2KwD05Dco5pt8vhdw4TlZU48g/aO+kPBpLVwMD7urGkWe72XXcgdlRYodkFaWcgUZJ5hcfxhK8zqKOxxl/zUYYjjdAZxRBuBmZjEGHpBBcerG3u4dCeDCs0RKq5dcM59/HccN/XPtEPJmfwhmD4fiUImWT5SNb45EOSZxt9n5vnjhpmtEzTXBb9vM6I3RoSF4M3n+ghYV+G75o3aKBaBYVaHH1KyPCPKTsbzyqPlJw4+W+6J4aztlm6bv5cnSbRnWdfbz7T5f084KJHKYrKm47G9HryhUVFVi9ejV27tyJS5cuobzcssrF6tWrxXbjM1ClWMIaDMMgOkhYTDTRuHnp7kxM+uaI1TaJIRqcv1HOKeaV0ESNCzcrHOp7Zu90PNPVdYWEfIFOPPKP9uJpKijxwWooZDLUmKxmpYRqceZ6mVl7dvjO+BzpEQFWQ76ExmTzDU1KUY+6Vxu+K38/Ba+RzjB6Xf9pRmFJOdGBgov3uYLeGeH44bjnx5Nb492d53CzvBov9c0ybKvygkqwthBl0H0/i7EAACAASURBVN+5cwfTp0/H+fPnDfrPOp0OISEhuHnzpuGijYjw/CQ4V0GVYgmCcARuSXLrj/cT03vgelkVogL9DNv+c38eBnzwm0NjCFIrEaQWvkJAWEfhYYWQ7MU4xj4+WI0WsUG8Br27MA25sQfdooFm+SIOjcXEgjcdl17Bh8GYdgnIjg7EwPprVacDZvRMx+wfT0g2FkdoFhXo9Qb9zfJqdw/BKYgKuVmxYgXOnTuHu+++G59//jk6deoEhmHw8ccf48svv8QzzzyDkJAQZGZmkkIOQRAux9M8mtYwLjAjBCFeQ5VChuggNckGezBBagW6p4Xbbugl5MXyV0QFgKxIvQfd1VflBJNQJ/0Y+EfBXipKecM1w74a4KRYemN0Oh0YRl8gy7g/HYCX+2UhOdRc3cddxAtU2PJ0Pvj1vOH15dvCVi9rpRDIdxKiDPqdO3ciNDQUEyZMgEql4jw0VCoVevTogZdffhk7duzAV199JdlgCYIgfI2lw1vabuShPNs9zWmJg75OhL/KIJNqC0+bn74xqDmGtuCv/Hx7Tj+zbd8/cpezh8RL78wIu7+7BQOyDa9Z00YrUJpXDFdm9bH4XufkEITV58y4MhHeGjodcOEF38j3+ulkw0rD6sPCKsHervBc774og764uBipqamGUutsbHhNTYN+amJiIpo3b46NGzdKMEyCIAjC0xh/VyK6poa5exheh73GmbvseT8L0qj35cWgeQy/R96a5Ks7JiZalRwqecPnsGcM7RND8P4DLZyijc4eMdIoLM6Yka3isO3JLobcKuPFtl3P5Es+HnvJ5Eki9jbEFN3z5FVPUQa9SqWCUtkQR6nR6JeCbty4wWkXGBiIK1eEzXoIgvBeTs/o6e4hGHDF7Va3aKALepEWMc8htQCte0Iauja1nDzrLg990zB/lM4197h7E2H+KlQuEC4+YXyZRAX6YfxdiS75/nXgXqPLR3HVeIzHJbSYnzM5Nr0HtB5WSdgVeHLai6ik2PDwcBQXFxv+jo+PBwAcOnQI3bvrKwbW1tbixIkTCAwUr69bXl6OZcuWYdu2bSgpKUF8fDyGDBmCrl272tz3+PHjWLZsGY4dOwadTof09HSMGjUK2dnZotsePHgQM2bM4O1v4cKFyMrK4n2PIHydlDDPSfj2sOgEj6FPRgSWP9gKDy7fJ3gfD3ZGeT32nKeJIe6Ln/b3E2Ym9EwPh9zCCWNQufGAq7NLSijeHZJntr1vViSOXz3Du8+rA7Ox4vdLko7D9JvS6aw7I8bflYgZa49ZaeEavCk/yRl4SugTH6IM+pycHPzwww+4c+cO/P390b59e7z33nv473//i/LycoSHh2PDhg0oLi4WZHxbYu7cuThx4gTGjBmDuLg4bN68GQsXLkRdXR26detmcb/jx49j+vTpyMjIwMSJEwEAK1euxMyZMzF37lyO4W1PW5bRo0cjNzeXsy0pyTz5hiAIQiocfZAq5DIkhdg38fLk5WVvxt6vtZ2HVTXlY1JBqs02nmALJoVqMaFjw/P67PM9kTxnI94Y1Bzv7TxncR+pMf0qdNBZvd6e65mOF9f/gepaHeRuvCyNx90Y7w4+56HPz8/HyZMncezYMbRp0wZhYWEYPXo0PvzwQ7z77rsAYJCxHDt2rKiB7d69G/v378eUKVNQUFAAAMjLy0NxcTGWLl2K/Px8yOX8yz3Lly+Hv78/Zs2aBbVaH3/WokULPPLII/jwww+xYMECUW1ZYmNjyRvvAppFUTl5X+Bfd2fixfV/uKw/D77feh2uqNpI2MYbvaJdm4Ziy+nrnG2mn2J8+0Sn9J0UokGcQCUWtUn4ilRz2J7p9ikYKWUywTKmmZHuezYan4rWvquFA7Ix9Vvr9TK8EU/2cYgKkMzJycGrr76KNm3aGLYNGjQICxcuxODBg9G7d2+MGzcOS5YsQViYuISpHTt2QKPRoEuXLpztvXr1wvXr13H8+HGL+x49ehS5ubkGAx0AtFotcnJycPToUVy/fl1UW8K1HHm2u7uHQEjAC30y3D0En4D13nmjcUeY4+s/4+Z/dMaqsW0BWA61cVYITvvEJoKVaaIC/TgFsiz9LlmRAbg7U3htnWArycF8rBnfHvP6NxPU1htWzqZ0t71i443IPPi7F10plo/MzExkZmZKcqxz584hPj7ezAufnJxseL9ZM/6Tv7q6mpO0y8JuO3v2LEJDQ+1uy/LOO+9gwYIF8PPzQ1ZWFoYNG4acnByrn6esTFixDaVSyTsegiAaN44Y8kUv+obMnK9gr03grbZ/sEkRMtNz2FnGkYxh7PrO5AI84zqdDjnRgVj/x1VBx7QlV64yiZsJ81cJOq67sTYJ65Uejh9PeHfRKVt4sD0vrUEvJSUlJYiOjjbbzibZlpSUWNw3MTERf/zxB+rq6gySmrW1tQavvvG+9rTVarW455570Lx5cwQFBeHSpUtYtWoVZsyYgRdffBGtW3Oz0o0ZN26coM89YsQIjBw5UlBbgvA02iU0wa4LN909DK81gIQgxjsXUy99F2VBIo9wH6wO+b3No6EDsPW0+apwiMY7nTzsqcra8U1c9DkYAHUiJ8CWLi8d7AvnszUBvzszElf/ZVmDXihNw7Q4/ZfrqvPyfaxQrRLXy6qx/MHWiJq1QfCxeqSFY9NJ75oA+FxSLEtFRQVOnjyJGzduoLrasth+jx49HOnGbgYMGIA333wT77zzDoYNG4a6ujp8+umnBmUe1nC3t21qaipSUxuWkXJyctChQwc8+eSTWLp0qVWDfunSpdBqbSfWkHee8Ga2P9kZE778HUt3XXD3UCTnzxd64emvD2OlxGoXriQt3D7t6IgA7/AaejOsDvmkglRMKkgFM3mNWRuVj8iHdkwOxZej22Do/+1xaj8Mw0ge0tS1aRiyo4Sr9tnqXiZjEB7g+AT73SF56P3uToePIxRuUqzeuL0/LwZvDW5u97E2PtaR93z3ZHwuKVan02H58uX45ptvUFlZabUdwzCiDPrAwEBeLzy7zZocZu/evXHr1i188cUX+P777wEAWVlZGDx4MFauXMkJobGnLR8BAQFo164dvv/+e1RWVsLPj/8C1Wq1ggx6gvBmFHKZRy9JOkJcsAYrxrT1ugeQI3hyvCjhPRgbga44p8T2YG0S8N4DLQDoxRo6vfWLzWPZCrkRg/H4WsUFYd/F2xa/z9n9MjHze+eLETzbPRUzeqbDTyFHZY3vJ9F7cv6CKIP+s88+wxdffAGFQoG77roLMTExnKRSKUhOTsaWLVtQW1vLiaM/d04vK2VLJnLIkCG49957UVRUBI1Gg8jISCxZsgRqtRppaWmi2/LBLq158g9NEK7C3UuSvnodtooLdnmfSk92RxFeiau06MX2woDB/x60vNreMVnv5EsJ1eLMdX2oS2qYFqdMwl6cnbz+ROcUjP/iAGQMEBmgQnFpFef9UK1zVteMPxfDAJEBfgi2EkrFp3bkzXjyLVGUQb9hwwZotVosXLgQCQkJUo8JANChQwesX78e27dvR35+Q5njjRs3IjQ0FBkZtpUzlEqlwfAvLi7Gtm3b0KdPH14vuj1tjSktLcWuXbvQtGlTqFS0PE00XtjES3cXj/FVFRhTeT1X0BgrQboKd18nnoCzLlWZzLH7wIjWcTbbfD2uHVos2gwAGJAdhTe28helkpKMCH8cuVJqtt34k45rl4Cluy447bs1088X2U+fDOGKQZ6EJzuMRBn0t2/fRqtWrZxmzANA27Zt0bJlS7z99tsoKytDTEwMtmzZgr1792Ly5MkGr/3Bgwcxc+ZMDB8+HCNGjACg9+Jv374daWlpUCqVOHPmDFasWIGYmBiMGjWK0489bRcuXIiIiAikp6cjKCgIRUVF+Oqrr3Dz5k0888wzTvsuCMIbYBMvCYKwjueaBM7B1ZNsBoyokJec6EBECswbMbbr/HkmvkKUc+zlwOQCKJ/9jtM/w7hWApWjQy+g/bz+zdB5iXmI0pRuvilr6U5EGfSxsbEoLy+XeixmzJgxA5988gmWL1+OkpISxMfHY+rUqWbVZ+vq6jg3DIVCgQMHDmDNmjUoLy9HREQE+vXrhyFDhpiFBtnTNjk5Gdu2bcO6detQXl6OwMBAZGdnY9KkSYJWDAiCcD6e7EHxNuibdB4+upDEwdr50yEpxHn9MuImEbueybfdiAel3DxpWeOEFTUFTz+APo792W+PAmjwoHvKSmWnFOt5iIR0iDLo+/fvjw8++AAXLlxwqpdeo9FgwoQJmDBhgsU2ubm5WLOGm6QWFxeH+fPnC+rDnrZDhw7F0KFDBbUliMaKhzxHCAmgyZFzaGzfK98tgYHzwo7EfrtCf5eoQD8E+XmG6jcDBlO7pxkMemdjen+n0DHPQdQZ2a9fP1y4cAEvvPACHnroIbRo0UJ0RViCIAjCM/EULx/hezh7TuPMM/fyLK5+vDumZ+wKh6Xv0VmTRmMD/pORreyS8iSci+gpZt++fXHgwAG88cYbNtuuXr1abDcEQRB24+t2qK9/vsaAPT+ht/rz+WxK9tyNCvRzmhKLzAk69J5Gs3pDmu/c6JTsvHAm4+91YI558U8+XFF7gBBp0B87dgwvvPACKioqwDAMAgMDbarBNHYmTZrEKVIFAIWFhSgsLHTTiAiCkIKYINfd+6oWFOL9X8+7rD8ft4nchrca6FLy6ajWTtOkZxjxlWLF9ec5v6haIXNK/D6LmG81MURj8b3HOiXhP9vPiR8QYUCUQb906VJUVFRgxIgRuPfee6lgkgAWL15M3xPRKPAEI9CVz9eiFx0v3y4UpVzm855HwhwPshdFwXfO+imcZ3QyYFx6H7K2EuFK8puG4tWB2aip02HZnj/N3m8dH4y7Eps4ZEBLEYankDEoSNWHabd2Q30NX0WUQX/mzBlkZmYaZCIJgiBM+XvHJGw9/Zdb+nbFw/Tlvpl45aeTzu+IB1cZeF5uR3osKaHaRmHI8BWZc4Wd6+0TIHtgVwfuzOsHrcozEnVNCffnhlblRAdCpdBHLDhT7aixwa+BZAO1Wo2QEPoRCILgp1NyCDIj/JEVGeDuoTgNlVwGpUzULZRo5PztrkR8Na4d73v/vi+X83eY1nIVTsIyrvSQe8L8wdSYd15SrP00DfOX9HgEP6Kmc23btsW+fftQXV0NpZJuNgRBNFDQNAwZEf6YWJCKiQVUPMSboYete4kK9PMJg97VakkPto5Dr/Rwl/Vnajv7KVw30bdktvN9586eeIjJiXBlroOvI+qsGzNmDJRKJd544w2UlZVJPSaCILyYse0T8FzPdLf135iW2wnf456cKMNrldy1seBS467Y8m5p4RjWKs75HdXTMz2C83d8sOuqZjujIq01rP1+SrkMR5/tJtnxCPsQ5aH/6KOPkJSUhK1bt2LPnj1IS0tDWFgY7xIPwzB46qmnHB4oQRAE4VroYet6IgPMVZP4YtE9mYUDsjl/+/ppZBoHnhLqPAGM6y/fbXh9eVYfRAbwS3+afuf+Krkkv4OtQlLGE4wDkwtsH88DT47cmEAcvFRi+DsiQIWrpVVuHJEwRBn0GzduNLy+c+cODhw4YLEtGfQEQdya09fdQyBEMKmgqbuH0OgwNpgYL9VTn9K9cYfaOfMnCzHS7o8KFC6Ze/Wlu9FlyS8O92/P+ZgXG8T5+77caKw6eJl7PA+c7plOoCcXpGL6d66pxOsIogz6OXPmSD0OgiB8mCC198cBN0YCPaS8fWPH28PIvHFSYi9D8mKw4vdLhr/d/Zux3beKC8K+i7cN2vSOrvbY+i3D/VUYnMtfcGpIXixWHbzMOUadB54bDAOMahOHZXsuAgCm9UjzXYM+NzfXdiOCIAgfxp0P7MZgIBF6XJ1QSojjyzFtwUxe4+5hGGDPGoWJEpejHnFbe4doVVg1ll/ByVtgALz/QAss23MReyd2dfdwBCPKoH/66acRExOD6dOnSz0en4UqxRIEIQXu9vwRrsdbf3K+cdMExTXEBukTc6W+X0j9+3laPYYnOidj+7kbhsJnreI9a3zWEGXQX7x4EfHx8VKPxaehSrEE4To8MS7TG6Fv0b1kRQTg7A3vV5JrLOdRsFqBWxU1ANy/inZ3ZoTZNmPb/tWB2Ziy5ggAoCA1DJtPua4I4JuDcwyvZTIGT+en4I2tZ1zWvzVm98tCeXUtAPMcoqfzU9wxJMGIkq2MjY1FSUmJ7YYEQRAEQYhi/d87AHBekSBCWq6+pFeg8aRfSyVvMPOM5xiTu6WiR5rrtPoBQCHXfzMFqdx+h7tQYtQWwRoloutXNxbd0zDxyI7y/CKJogz63r1749ChQ7hw4YLU4yEIgvBonuuZBsB9Hjh3e/4I1+LNvzc7EQnRKJEerq8W6sUfxyZKuedUjmbngE92ScHN2Q0qY8ZJsfMKswDYV41Y7O9X8Up/hGn5JTa9BU+fV4s6+wYOHIiePXtixowZ+Prrr1FUVITq6mqpx0YQBGE3zr7nzu3fzMk92MbTHyyEtHj7zx0brMbx53q4exiNClY95oGWsQjW8Bvs8vobiT3FqcROMP0Ucq/OnwjRKOGv8mzVL1Gju/feewHokyOWLl2KpUuXWm2/evVqMd0QBEEQBEF4JKdn9ETTuRttN3QDtRLoQbZPbILfzt/kbGus+UnrJnTghC95IqIM+vBw18ZdEQRBCOWzh9pA6eJy6AQhFUqZZxsN9sCvcuPyYTiNEDtCVVxNnQRfdH5KqLlB74Tfzxvu1gFeUJND1Ag/+OADqcdBEAQhCTH1CU0E4Y3IeCajFGJF2IufQmaWyDm3XxYiAlR4e/tZi/s91zMN8zaeNNseF6zGxVsVjdQ/7x34jiuAIAiikeBLXk7COvRTE2LQqhQ4/Gx3zra7syLROr6JWVsGDJpHB0IhYxBsoao3e89xJA7eXrWmPRPzRffFR0SAdyfl2kIyg76srAzl5eVSHY4gCILggby1hLfAd652TwvDF6PbuH4whFUOTu2GILVzw0osTQYs3dP4Jh+EZRz69fbs2YM1a9bg6NGjqKioAAD4+fkhJycHAwYMQJs2dNGyUKVYgiAIwl68WRmEj+ggNYa2iHX3MCTB2+fWKWH6YpemBvXkgqZYtPm0G0bkXPxVclx19yCciGiD/v3338eaNWsMNxu2CmpZWRn27NmDvXv3YuDAgXj44YelGamXQ5ViCcL38C1Ti/BUGC81HeOC1ejfLNLdw3A5/x3aAgovSMwPrdeFZ+eMdyWGILGJBu0Tm2DR5tOGEJn3hubh031FKLrtnBh6V53f+nAi340kEWXQb926Fd988w2Cg4MxbNgwdO/eHf7++qIRZWVl+Omnn/D5559jzZo1yMzMRH6+tHFQBEEQ7oZCXwhX4M2TxsQQLb57+C53D8PlsJ5vb2PtI/rfatOJa5ztD3dIwtpjxQC8O3/H12/ZomLov/vuOyiVSsyfPx8DBgwwGPOA3lNfWFiIefPmQaFQYO3atZINliAIgiAaGzR5JJyJEIlLKZJiLe1pqsZDiEOUQX/27Fnk5eUhLi7OYpu4uDjk5eXhzJkzogdHEARBuI7kUI27h0CY4M0eUcI7MDXorU0gnXE6+nuBxrs3IMqgr66uhlptW+tZrVajurpaTBcEQRAED8408N4dkmfSF1mTngB56L2H1+7NcfcQ7MaeqrKO3BLoNHYuogz6mJgYHDp0yKBsw0dFRQUOHTqEmJgY0YMjCIIgzCEDr/Gg8+oo+sbHM12bunsINnmpbybnbzvseaefjWqF88oj+fp9U9Q316VLF9y6dQvz5s3D5cuXzd6/dOkS5s2bh9u3b1NCLEEQBEHYQev4YLRPbNDg9nE7hHAx/+ydwflbSAz9+LsSHe5XyGTg3/flOtyPJewtbOVtiApcGjx4MH799Vfs27cPjz76KDIyMhAZGQmGYXDlyhUcP34cdXV1SEtLw6BBg6QeM0EQRKPGWZEwFGHjGeREBeLcjTJ3D4Owgb9Kjrn9s9w9DId5vHOyzTYDsqNwT06UXeE5hGsRZdD7+flh7ty5+L//+z/88MMPOHbsGI4dO2Z4X6VSoXfv3hg9ejT8/PwkGyxBEIQn4Q5/jyudTL7u0fIGaJLluSjkMjzXM93dw3CY/s2iOH9bOucYeLeMqq8jOrVYo9Hg73//O8aMGYNTp07h+vXrAIDQ0FCkpqYKSpolCIIgPAd6WHsGpvMomlgRnoD+PKS7hKfisFaQWq1GTo73ZXW7mkmTJkEm46YsFBYWorCw0E0jIgjCEXzRc0qqNp4H/SKEu+CbRjrrFlH5SiH8pn3n1PPd16fFJP7pIhYvXgyt1jurxxEE0TghA98z8HVDhPAOGMZ5qksqJ6rbNBYEGfQrV650qJP777/fof0JgiAIojEyqWtTtIwLcvcwCEIfQ09zfI9FkEH/8ccfC47hYz06xu3JoCcIgvB86FnteTztBbrmhG/Bmm98uRzONuitWZpBagVuV9SIP7aPL3UJMuiHDx9uV1LOjRs3sGnTJlRVVVEyD0EQPgsZwIQzeLJLCkorxRsuBOEIrNHuDm+8DkBWZACOFZcCAP73YGuMXL4XAJDYRINDl0tcPygvQZBBP3LkSEEHu337NlauXImff/4ZVVVVUKvV6N+/v+jBlZeXY9myZdi2bRtKSkoQHx+PIUOGoGvXrjb3PX78OJYtW4Zjx45Bp9MhPT0do0aNQnZ2tkNtHRkTQRC+gy/6Kmg53TNom9DEdiOCcDJxwVy1Qr3GjfibhND7y9Fp3cFMXgNAX2QNAGoXDkBVbR0009eK7p/x8WwUSZJiS0pKsGrVKnz33XeorKyESqXC4MGDcd999yE4OFj0cefOnYsTJ05gzJgxiIuLw+bNm7Fw4ULU1dWhW7duFvc7fvw4pk+fjoyMDEycOBGAPg9g5syZmDt3LrKyskS1dWRMBEEQUhCgkiMmyDn1PcieJwiCJUjNNREZxn2TfpmMgVomd0/nXoJDBn1paanBkC8vL4dKpcI999yDIUOGOGTIA8Du3buxf/9+TJkyBQUFBQCAvLw8FBcXY+nSpcjPz4dczv/jLl++HP7+/pg1a5ZBD79FixZ45JFH8OGHH2LBggWi2joyJoIgCCl4sHU87suNccqxSdWGIAhLMGBcNunXLRroop58B1E6QaWlpVi2bBkefvhhrFy5EjU1Nbjnnnvw3nvvYfz48Q4b8wCwY8cOaDQadOnShbO9V69euH79Oo4fP25x36NHjyI3N5dT3Eqr1SInJwdHjx41FMGyt60jYyIIgpACmYyBv59rFIebRQW6pB+CIDwfZ4cZHpvWHcNaxjrt+L4YJmmMXU+FO3fu4Ouvv8aaNWtQXl4OhUKBAQMGYMiQIQgJCZF0YOfOnUN8fLyZxzs5OdnwfrNmzXj3ra6uhlKpNNvObjt79ixCQ0PtbuvImMrKyni38/XLNx6CIAhnY+qgp1hugmi88C3YObKIF6RWwF9lOYohMzJA/MEJYQZ9WVkZVq9ejdWrV6OsrAxKpRL9+/fH0KFDDcau1JSUlCA6Otpse2BgoOF9SyQmJuKPP/5AXV2doTprbW2twYNuvK89bR0Z07hx4yy+Z8yIESMEJyETBEFICfus1i0aaEhKIwiCABxPir0rKQQ3Z/eVbkB2wgDQKGUor65z2xiciSCDfvz48SgrK4NCoUBhYaFTDXkpGDBgAN5880288847GDZsGOrq6vDpp5+iuLgYAAyGu71tHWHp0qWCKsWSd54gCIIgCHdhKZdGChlyhZwqwjoLQQb9nTt3wDAMamtrsWHDBmzYsEFwBwzDYMWKFXYPLDAwkNfjzW5jveJ89O7dG7du3cIXX3yB77//HgCQlZWFwYMHY+XKlZzJiD1tHRmTVqsVZNATBEG4C0qKJQjCGq6+RQi9Jxnr1VvC1+siCY6h1+l00Ol0qKtzzVJFcnIytmzZgtraWk7M+rlz5wAASUlJVvcfMmQI7r33XhQVFUGj0SAyMhJLliyBWq1GWlqaqLaOjokgCMKTIXOeIAhL6ENuPJMRreNsGvSAb9faEGTQf/PNN84ehxkdOnTA+vXrsX37duTn5xu2b9y4EaGhocjIyLB5DKVSaTCyi4uLsW3bNvTp0wd+fuYazkLaSjEmgiAIgiAIT8WSJ1uvQ+9ai1hKr3rTUC0OFN2S7Hiehmu0z0TQtm1btGzZEm+//TbKysoQExODLVu2YO/evZg8ebLBQ37w4EHMnDkTw4cPx4gRIwDoPebbt29HWloalEolzpw5gxUrViAmJgajRo3i9GNPW6FjIgiC8EZ82XtFEIR9mN4OGMZzPfSWaBqmxem/9CqDIVql4R5XtaAQqme/c+PIpMdjDXoAmDFjBj755BMsX74cJSUliI+Px9SpU9G1a1dOu7q6Os6sUaFQ4MCBAwZ5zYiICPTr1w9Dhgzh6M3b29aeMREEQRAEQfgKDBivmvQPyYvBl2PachS72OErfTA516MNeo1GgwkTJmDChAkW2+Tm5mLNGq68WlxcHObPny+oD3vaCh0TQRC+j59ChgArmsreiCOSdARB+AaWwmoiAlQoq6518Wikxfij7ZvUFa0Wb3HfYCTGow16giAIT+XRjskY1Sbe3cMgCIJwCa8UNkOdD835Q7V6mXB/lRx3qrx7ogKQQU8QBCEKlUKGUIXK3cOQFG9aTicIwrV4m4a8aT6tb4tWkkHvMiZNmmRWpKqwsBCFhYVuGhFBEAQXsucJgmCRMwyUcu81gxU8hUGDNQr4+1ioJAsZ9C5i8eLFVFiKIAiPYVr3NLzy00l3D4MgCA9lZOs43J0V4e5hiIZvKhITqMaBKQX173vvZIUP71o/IQiCICRh/oBmZtso5IYgCBaVQoaYIHO1P1eiUdpnpt6Z189JI/F8yKAnCIIgALi+aAxBEIQ1EkO0qF4gPDRZq7IceCJlkSpPhAx6giAIegLZeQAAIABJREFUgiAIAgDQNqEJVoxp4+5hGBCbjGuWFMvwS/P6ip1PBj1BEAQBgJJiCYIAgjVK3J8X6+5hSA4DcGQ3fcWQZyGDniAIggBAMfQEQfguDMMfVugr9z0y6AmCIAgAVCmWIAjv5eq/+nD+9jUPvC3IoCcIgiAIgiC8mvAAP4vv/T6lADKG8WmXBRn0BEEQBADfWXomCIIw1pnXKuVg4Nv3OCos5SKoUixBEJ5OE40SccHu1Z0mCIJwBgzD+LQ0Lxn0LoIqxRIE4WmUzO2HwBnfG/7u3ywSZ57vCQCY0CHRXcMiCIKwiVohQ++MCKw5ckVQewb8Sl6+EmtPBj1BEEQjJcCP+whgGAZKuf7p9u7QFu4YEkEQhE1GtYkDAwYDsqMsGvR8hrrOh2UryaAnCIIgCIIgvIb36h0O3xw2N+Zvzu6L59YeRUqoPiri2/HtkdBE4/NJsWTQEwRBNDKe7JLi7iEQBEGIRq2UW3wvWKPE2/fnGf4uzI4CYFmHHgCyowJw5EqptIN0MWTQEwRBNCKmdEvFoObR7h4GQRCES2EYy9WwGR+IvyGDniAIohGxcGC2u4dAEAQhCfao1gxoFmUIwwG4spZ1PqB+QwY9QRAEQRAE4dN0SglFp5RQ3vfq6nRenyRLBj1BEARBEEQj5Len8909BLfzzd/aI9xfhfLqWncPxSHIoCcIgiAIgmiEtEts4u4h2M2yka0kPV73tHBJj+cuZLabEARBEL5Kr3TfeJgRBNE4iAzwc/cQPBLy0LuISZMmQSbjzp8KCwtRWFjophERBEEAPzzaEczkNe4eBkEQhEvx9ph5U8igdxGLFy+GVqu13ZAgCMINDG0R4+4hEARBWOVv7ROQGi6NLeWvkqN5dKAkx/IEyKAnCIIg8Pq9zd09BIIgCKt8MKylZMcKUitxcGo3yY7nbiiGniAIgiAIgvA6EkM06J4W5u5heARk0BMEQRDQWayhSBAE4Zl0TA7Fpsc6uXsYHgEZ9ARBEARBEAThxZBBTxAEQRAEQRBeDBn0BEEQBEEQBOHFkEFPEARBEARBEF4MGfQEQRAEQRAE4cWQDr2LoEqxBEEQBEEQhDMgg95FUKVYgiA8GR2pVhIEQXgtFHJDEARBEARBEF4MGfQEQRAEQRAE4cWQQU8QBEEQBEEQXoxHx9CXl5dj2bJl2LZtG0pKShAfH48hQ4aga9euNvc9fvw4li1bhmPHjkGn0yE9PR2jRo1Cdna2WdtTp07h008/xYkTJ1BaWoqIiAgUFBRg8ODBUKvVhnYHDx7EjBkzePtbuHAhsrKyxH9YgiAIN0Ix9ARBEN6LRxv0c+fOxYkTJzBmzBjExcVh8+bNWLhwIerq6tCtWzeL+x0/fhzTp09HRkYGJk6cCABYuXIlZs6ciblz53IM7/Pnz+PZZ59FXFwcHn74YQQFBeHw4cP47LPPcOrUKcycOdPs+KNHj0Zubi5nW1JSkjQfmiAIgiAIgiDswGMN+t27d2P//7d353FRlfsDxz9siuyCoKAohqKyqOFaLolrVq6pqHkzW8y6pVa24HWpTLO8rxTzKl5vmZopikuauWZJoLikggqigLgLKoqyyTa/P/jNiXEGGJABBr/v14vXC855znPOnO88w3ee85znnDzJtGnTeOaZZwBo27YtqamprFy5kh49emBmZqZz27Vr12Jtbc2nn36q9LC3a9eON954g++//56vv/5aKXvgwAFyc3MJCgrC1dVVKZuWlsbu3bvJyMjAxsZGo343NzfpjRdCCCGEEDVCjR1Df+jQIerVq0f37t01lvft25e0tDTOnTtX4rZxcXH4+flpDJexsrLCx8eHuLg40tLSlOXm5ubK+uJsbGwwNTVV1gshhBBCCFET1diE/uLFizRp0kSrF97Dw0NZX5K8vDwsLCy0lquXJScnK8t69+6NtbU1y5Yt48aNG2RlZXHkyBF27drFc889p/GlQC0kJIQhQ4YwatQoZs2axZkzZ8p8PVlZWXr95OXllVmXEEJUNhUyiF4IIYxVje1+vn//Po0aNdJabmtrq6wvSdOmTYmPj6ewsFB5OmtBQYHSq19824YNG7JgwQLmzZvHG2+8oSwfNGiQxt9Q1Is/ePBgfH19sbOz4/r162zevJnp06cze/Zs/P39SzymCRMm6PGqYcyYMYwdO1avskIIIYQQQtTYhP5RvPDCCyxevJiQkBACAwMpLCxk3bp1pKamAihJPkBKSgpz5szBwcGBTz75BHt7e86dO0doaCg5OTlMnjxZKevp6Ymnp6fyt4+PD127duXdd99l5cqVpSb0K1eu1OtJsbquLAghhBBCCFGSGpvQ29ra6uyFVy9T99Tr0q9fP9LT09mwYQM7d+4EoHXr1gwbNoxNmzbh6OiolF21ahXZ2dksXrxYGV6j7oEPDg4mICBAa0ab4mxsbOjUqRM7d+7kwYMH1K1bV2c5KysrvRJ6IYQQQgghyqPGJvQeHh6Eh4dTUFCgMY5ePXa+rGkiR4wYwZAhQ7h27Rr16tXDxcWFJUuWYGlpSYsWLZRySUlJuLu7a42Vb9myJVA0rWVpCT2A6v8ncDYxMdH/BQohRA0i89ALIYTxqrE3xXbt2pXs7GwOHjyosfy3337D0dERLy+vMuuwsLCgWbNmuLi4kJqaSkREBP3799foRXdycuLSpUtkZ2drbHv27FllfWkyMjI4evQoTzzxBHXq1NH35QkhhBBCCFEpamwPfceOHWnfvj1Lly4lKysLV1dXwsPDOX78OB988IHSa3/q1ClmzJjB6NGjGTNmDFDUi3/w4EFatGiBhYUFFy5cICwsDFdXV8aNG6exn8GDBzN37lxmzpzJkCFDsLOzIz4+nrCwMNzd3enQoYNSdsGCBTg7O9OyZUvs7Oy4du0aW7Zs4e7du0ydOrXqTo4QQgghhBD/r8Ym9ADTp09nzZo1rF27lvv379OkSRM+/PBDevbsqVGusLBQGfYCRXPLR0dHs337drKzs3F2dmbgwIGMGDFCa2hNly5d+OKLLwgLC2PFihVkZmbi7OzMgAEDGDlypMZNqh4eHkRERLBr1y6ys7OxtbXF29ub999/X68rBkIIUVOZmcqQQSGEMFYmKpWMnDSkrKwsAgMDCQ0NlZtihRA1UlpWLo5WMmRQCCFqGn3zyBo7hl4IIUTVkGReCCGMmyT0QgghhBBCGDFJ6KvI+++/z9tvv63xs2PHjuo+LL3k5eXx008/kZeXV92HIvQkMTNOEjfjIzEzPhIz4yMxK1uNvim2Nvnmm2+Mdgx9Xl4e69atY+jQofIkWyMhMTNOEjfjIzEzPhIz4yMxK5v00AshhBBCCGHEJKEXQgghhBDCiElCL4QQQgghhBGThL4aGeqmWGO52RaM7xwYW72GYGznwNjqNQRjOwfGVq8hGNs5MLZ6DcHYzoGx1Wsohjje6jgHktBXI2lMxncOjK1eQzC2c2Bs9RqCsZ0DY6vXEIztHBhbvYZgbOfA2Oo1FEnohRBCCCGEENVOEnohhBBCCCGMmCT0QgghhBBCGDF5sJSBqVQqALKysrTWFRYW6lz+qCq7XnVdxnCsUm8RiZlx1muouBnTOTC2eiVmxlevxMz46jW2/2mVWae6HnU+WRITVVklxCO5desWEyZMqO7DEEIIIYQQRmrlypU0aNCgxPWS0BtYYWEhaWlp1KtXDxMTk+o+HCGEEEIIYSRUKhXZ2dk4OjpialrySHlJ6IUQQgghhDBiclOsEEIIIYQQRkwSeiGEEEIIIYyYJPRCCCGEEEIYMZm2shbLysoiNDSUpKQkkpKSuHfvHmPGjGHs2LEa5ZKSklizZg3Jycncu3ePOnXq0LhxY55//nkCAgI0yp46dYrp06fr3N+CBQto3bp1ucoJTYaImdqZM2fYuHEjZ8+eJS8vDycnJ3r37s3o0aOVMtnZ2fz4449ERERw//59mjRpwogRI+jZs6dBX7cxq86YSTurGEPEbOHChezfv7/EfRaPh7Sz8qvOmEk7qxhDfTYmJiaybt06zp8/T0ZGBs7OzjzzzDMMGzYMS0tLpdzj1s4koa/F7t+/z+7du/Hw8KBr167s2bNHZ7nMzEwaNGhAz549cXJyIicnhwMHDvDNN9+QmppKYGCg1jYvv/wyfn5+GsuaNWtW4XKiiKFi9scff7Bw4UK6d+/O+++/j6WlJdevXyctLU2j3Lx58zh//jzjx4+ncePGHDhwgAULFlBYWEivXr0M9bKNWnXHDKSdlZchYjZ69GgGDhyoVcecOXOwsLCgZcuWyjJpZ+VX3TEDaWflZYiYXbp0iY8++ojGjRvz+uuvY2dnx5kzZ1i/fj2JiYnMmDFDKfu4tTNJ6GsxFxcX1q1bh4mJCenp6SU2Jj8/P60Pqc6dO5OSksKuXbt0JvRubm569UroW04UMUTMbt++zX/+8x8GDBjA22+/rSxv27atxvbHjh3j5MmTTJs2jWeeeUYpk5qaysqVK+nRowdmZmaV9VJrjeqMmZq0s/IxRMxcXV1xdXXVKHvq1Cnu3btHYGCg0naknVVMdcZMTdpZ+RgiZgcOHCA3N5egoCAldu3atSMtLY3du3eTkZGBjY3NY9nOZAx9LWZiYvJIc9/b2trWujd8TWeImO3Zs4ecnBxGjBhR6raHDh2iXr16dO/eXWN53759SUtL49y5cxU+rtqsOmMmKqaqPhv37t2LiYkJffv2VZZJO6uY6oyZqBhDxMzcvKgf2srKSmO5jY0NpqamyvrHsZ1JD71QFBYWolKpyMjIICIighMnTvDmm2/qLBsSEsLXX39N3bp1ad26NYGBgfj4+FS4nKgYfWJ2+vRpbG1tuXLlCl988QUXL17E1taWp556igkTJigfjBcvXqRJkyZaH6AeHh7K+jZt2lTJ66rNKjNmatLODKs8n41qmZmZREZG0q5dOxo1aqQsl3ZWNSozZmrSzgxLn5j17t2bn3/+mWXLlvHKK69gZ2fH6dOn2bVrF88995wyhv5xbGeS0AvFsmXL2LVrF1D0LXjixIla4wutrKwYPHgwvr6+2NnZcf36dTZv3sz06dOZPXs2/v7+5SonHo0+Mbt9+zYPHjxg/vz5jBw5kjfeeIPz58+zdu1aLl68yFdffYWJiQn379/X+U/M1tYWKBoPKR5dZcZM2lnV0CdmDwsPDyc3N5d+/fppLJd2VjUqM2bSzqqGPjFr2LAhCxYsYN68ebzxxhvK8kGDBmn8/Ti2M0nohWLkyJH079+f9PR0jhw5wvLly8nJyWH48OFKGU9PTzw9PZW/fXx86Nq1K++++y4rV65UPtj0LScejT4xU6lU5Obm8vLLLzNy5EigaMyiubk5K1asIDo6mvbt21fXS3jsVGbMpJ1VDX1i9rA9e/YoV1VE1avMmEk7qxr6xCwlJYU5c+bg4ODAJ598gr29PefOnSM0NJScnBwmT55cja+geklCLxQuLi64uLgA0LFjRwBWr15Nnz59sLe3L3E7GxsbOnXqxM6dO3nw4AF169Z9pHJCf/rETN0j8fA/nQ4dOrBixQoSExNp3749tra2Onst1MvU9YhHU5kx00XaWeUr72fjhQsXSEhIYPDgwVhYWGisk3ZWNSozZrpIO6t8+sRs1apVZGdns3jxYmV4jfrKSXBwMAEBAfj5+T2W7UxuihUl8vLyoqCggBs3bpRZVqVSAZR5A4y+5UTF6IqZeszgwx6OhYeHB1euXKGgoECj3MWLFwGZns1QHiVmJZF2ZlhlfTbu3bsXgP79+2utk3ZWPR4lZiWRdmZYumKWlJSEu7u7xnzzgDLF6KVLl4DHs51JQi9KFBMTg6mpqc5xaMVlZGRw9OhRnnjiCerUqfPI5UTF6YrZ008/DcBff/2lUfbYsWMAtGrVCoCuXbuSnZ3NwYMHNcr99ttvODo64uXlZchDf2w9Ssx0kXZmeKV9Nubl5fHHH3/g5eWlM2mQdlY9HiVmukg7MzxdMXNycuLSpUtkZ2drlD179qyyHh7PdiZDbmq5Y8eO8eDBA+XNf+nSJSIjI4Giy/eWlpYsWbKEevXq4eXlhYODA/fu3SMyMpI///yT4cOHa1yeXLBgAc7OzrRs2RI7OzuuXbvGli1buHv3LlOnTi13OaGtsmPm7+9P586dWb9+PSqVilatWnH+/HnWr19Pp06dlFkaOnbsSPv27Vm6dClZWVm4uroSHh7O8ePH+eCDD2QK01JUV8yknVVcZcdMLSoqivv37zN+/Hid+5V2VnHVFTNpZxVX2TEbPHgwc+fOZebMmQwZMgQ7Ozvi4+MJCwvD3d2dDh06AI9nOzNRqa8ZiVrptddeIzU1Vee6//3vfzRs2JB9+/axb98+Ll++TGZmJpaWljRv3pz+/ftrPXZ548aNREREkJKSQnZ2Nra2tnh7ezNixAiNb7z6lhPaKjtmAA8ePGDdunUcOHCAO3fu4OjoSK9evRgzZozGeNHs7GzWrFmj8ajskSNH1tpHZVeW6oqZtLOKM0TMAGbOnMnZs2dZtWqV1vSiatLOKqa6YibtrOIMEbOYmBjCwsJITk4mMzMTZ2dnOnXqxMiRI7Gzs1PKPW7tTBJ6IYQQQgghjJiMoRdCCCGEEMKISUIvhBBCCCGEEZOEXgghhBBCCCMmCb0QQgghhBBGTBJ6IYQQQgghjJgk9EIIIYQQQhgxSeiFEEIIIYQwYvKkWCFEhQwaNKhc5V1cXPjuu+9ISUnh9ddfx9fXly+//NJAR1dzXL58mcOHD3PixAmuXbvG3bt3sbGxoU2bNgwZMkR56mtZTp8+zfTp01GpVDz77LP885//1CoTFBTE6dOnS6zj008/VZ6kqKZPHNu2bcvcuXO1lsfFxREaGkp8fDz5+fm4u7vz/PPP06dPnxLrunXrFmvXruX48ePcv38fZ2dnevTowahRo6hTp47ObXJzc9m4cSPh4eHcvHkTW1tb/P39eemll2jQoEGZx6+2b98+goODlb+tra1Zv369Rhld58Pc3BwHBwd8fHwYMWIEHh4eyrqyzrku6gfqqB+6o/5b7eGH8ZiammJlZYW9vT2enp74+/vTo0ePEs9XRan3u3379kqttzJlZGQwZswYjWXz5s3Dz8+vmo5IiJpBEnohRIX07t1ba1lcXBzXr1+nefPmNG/eXGNd8Sf4PU5mzpzJ7du3sbKywsvLi9atW3P58mUOHTpEVFQUr732GkOGDCm1jry8PJYsWaL3Pp9++mksLS21ljs5OWkt0xVHtWPHjnHv3j28vb211h06dIj58+ejUqnw8fHBzs6O6OhoFi1axIULF3j99de1trl+/Toffvgh6enpNGvWDG9vbxISEggNDSU6Opp58+ZpPLkYipL5GTNmEBcXh6OjI126dCE1NZV9+/Zx9OhRFixYgKurqz6nRaF+f9atW7fEMsXPS1ZWFgkJCRw4cIDIyEg+++wz2rZtC4C/vz8uLi5arzMuLg4HBwf8/f216tYVG12KxzErK4uUlBQiIiIIDw/nhx9+YMqUKXTs2FGvumoLc3NzJTbqzxshhCT0QogKeu+997SWLVy4kOvXr9O1a1fGjh2rczsnJyeWLl1aajJVm7i7uzNhwgSefvppjWR1586dLF26lO+//54nn3ySpk2bllhHaGgo165do1+/fuzZs6fMfb766qsaPb6l0RVHKOoJ/fPPPwG0Hr+ekZFBcHAwhYWFBAUF8fTTTwNw584dPv74Y37++Wc6d+6sJL1qwcHBpKenM2jQICZOnAhAQUEBX331FYcOHWLDhg289NJLGtts2LCBuLg4Wrduzeeff069evUA2Lp1K9999x3BwcHMnz9fr9eqVtr7U+3h85Kfn8/ixYv5/fffWbFiBd9++y0AI0eO1Np23759xMXF0aRJkxLPrz50xfHOnTuEhoayY8cO5syZw6xZs7SuutRmlpaWyjlVf94IIWQMvRCiipmbm+Pu7q7Vq1lbzZkzh2eeeUar53ngwIE8+eSTFBYWEhkZWeL2ly5dYtOmTfTr1482bdoY+nAVkZGR5OXl0apVK9zc3DTW7dmzh8zMTLp06aIk8wD169dnwoQJQFHCXdy5c+c4c+YMDg4OShkAMzMz3nrrLczNzfnll1/Iz89X1uXn5/PLL78AMGnSJCWZBxg6dCgeHh6cOXOGhISEynvhJTA3N1e+BCQnJ5ORkWHwfepSv359Jk2axLhx4ygsLCQ4OJi8vLxqORYhRM0hPfRCiCpV0hh69fjmMWPGEBAQwKpVq4iJiSE/P582bdrw2muv0bRpUwoKCti0aRO//fYbN2/epEGDBgwZMoTnn3++xP1t3LiREydOkJaWhpWVFb6+vowePVprWFBVa968OSdOnOD27ds616tUKpYsWYK1tTWvvPIKhw8frrJj+/333wHt3nmAI0eOANCtWzetdR07dqROnTpER0eTm5urjPM+evQoAJ06ddL6clO/fn28vb2JiYkhLi5OGQ8dGxtLZmYmrq6ueHp6au2rW7duJCcnc+TIEVq0aPEIr1Y/Dg4Oyu8FBQUG319pRowYwZ49e0hNTSUiIkJnnHQpKChg8+bN7N27l1u3buHo6EivXr0IDAzUWV6lUhEeHs7hw4dJTEzk9u3bmJqa0qRJE/r06cPAgQMxNf27b3DZsmX8+uuvvPPOOwwYMEBnfRMnTiQ1NZUVK1YoX+wvX77Mhg0bOHv2LLdv36ZevXo4OTnh5+fHiy++iKOjYwXOkhCPD+mhF0LUKCkpKXzwwQckJibi6+tLw4YNOX78ONOnT+fOnTt8+eWXhIWF0bBhQ/z8/Lh58yYhISHs3r1bq64zZ84wefJkdu/ejaWlJV26dMHNzY1Dhw4xbdo0YmJiquEV/u3GjRtAUUKry6+//kpcXByvvvoqtra2ete7d+9eli5dSkhICNu2bdO4wVIfqampxMbGYm5uTo8ePbTWJycnA+hMsi0sLGjatCm5ublcvXpVWX7hwoUStym+XF2u+O9PPPGE3tsYkvpKgJ2dHfb29lWyz5KYmZkpX6hOnTql93YLFixg9erV3L17F39/fzw8PNi6dSvz5s1DpVJplc/Ly+Pf//43J06cwN7ens6dO+Pl5cWlS5cICQnRuMkYiq48ATrbI0BMTAw3btygffv2SjKfkJDA1KlTOXDgAPb29jz11FN4eXmRn5/Ptm3bNN5HQgjdpIdeCFGj7N+/n6FDhzJhwgRMTU1RqVQEBwfz22+/8a9//QtTU1OWLl2qzG4SHR3NjBkz2LBhg0aPYFZWFl999RW5ubl88sknGr3JJ0+e5LPPPuObb75hxYoVWj3GVeH69etKr3WXLl201t++fZvVq1fTtm3bUm9c1SU0NFTj75UrVxIYGMjo0aP12v7AgQOoVCo6dOigdTNzVlYWmZmZACXOMNOgQQMSEhK4efOmchXk5s2bZW5TvFxFtzGEzMxMzp07x/LlywHd4+arg/qLzuXLl/Uqr76pt1GjRsyfP1+5SfrGjRsEBQVx69YtrW3MzMwICgrSurKSnp7Op59+yv79++nXrx++vr4AeHh40KZNG+Li4rhw4YLWVTB1ol+8rW7fvp3c3FyN+zHULl++jLW1tV6vT4jHmfTQCyFqFFdXV1555RXlMr6JiQlDhw4Fiv65T5w4USPBa9euHU888QSpqamkpKQoy/fu3cudO3cYNmyY1tCQ9u3b89xzz3H79m0lqa5KBQUFLFq0iLy8PHr06KFzuEhISAi5ubm89dZbetfr4+PD+++/z4oVKwgLCyMkJIR//OMfmJqasnbtWrZt26ZXPaUNt8nOzlZ+L+nGZvXMLMXL5uTklLqNenlFtlGXq0yDBg1SfkaPHs2sWbPIzMxk2rRpyvuxuqm/bOk7nn/nzp0AvPTSSxozHjVq1KjEITdmZmZaN3QD2NvbM378eACtoWDPPvssgNYN3Pfu3SMqKgoHBwc6d+6sLE9PTwfQuokaim4ql+E2QpRNEnohRI3i6+uLmZmZxrJGjRoBRTcmqnsCi1NPW3jnzh1l2cmTJ4GiGU10UU/FeP78+Uc/6HJavnw5sbGxNGrUSGfCfvDgQaKiohgxYgRNmjTRu95x48YREBBAo0aNqFu3Lo0bN2bUqFH861//AuCnn37iwYMHpdaRkJCg9IoWT7rKQ9fQDfUyExOTctdTnm0qS+/evZWfnj170rp1a+7du8cPP/xQriEuhlSe85Ofn098fDympqY6733o2bNnqdsnJSWxadMmli1bxqJFi1i4cCG//vorANeuXdMo2717d2xtbfn999813m/79+8nLy+PPn36YG7+9wAB9RfahQsXcu7cOQoLC8t8PUIITTLkRghRo+iaK13d41u/fn2NG/DU1D21xWf7UPfWf/DBB6Xu7969e2Ue0+7du4mNjdVYZmdnx2uvvVbmtg9bt24dO3fuxMHBgc8++0xrbHxWVhbLly/Hzc2t0oZ2+Pv706JFCxISEoiPj9fZE6r2xx9/AEVJma6hSMVnmnnw4AFWVlZaZdRJXPGy6t9L6k1/lG30nde9PHRNN5mYmEhQUBCzZ89m6dKlyhfN6qJ+79rY2JRZ9v79++Tn5+Po6KgzrlZWVlhbWyvDqdTy8vJYtGgR4eHhJdZd/KoKQJ06dQgICGDbtm1ERkYqQ8b27NmDiYkJ/fv31yg/fPhwYmNjOXLkCEeOHMHa2hovLy86depEnz59dL7HhBCaJKEXQtQopfU2lqenVt3L161bt1LnvPfy8iqzrtjYWPbv36+xzMXFpdwJ/Y4dO/jpp5+wtrbms88+05oOEoqSxrS0NFxcXJg9e7bGOvUViCNHjnDlyhVcXV2ZPHmyXvt2c3MjISGBtLS0EssUFBQoc8/36tVLZ5niid+tW7d0zp+vHovt7OysLHN2diYpKUnnOO3Stim+Tp9tDMnT05Nnn32WLVu2sGPHjgp9oatMSUnmUGr0AAAHy0lEQVRJAKU+w0BN11UTfWzdupXw8HCaNWvGhAkT8PT0xMbGBnNzc65evcqkSZN01j1w4EC2bdvGnj176N27N3FxcVy+fJm2bdtqve+trKyYO3cusbGxHD16lFOnThEdHc2JEycICwtj/vz55X54mBCPG0nohRC1UoMGDbh69SqBgYGPPD3le++990gPCIKinu/ly5dTt25dZs2aVeLMLWqpqaklzk6TlpZGWlqaVm9qadTjrIv3gD8sOjpa+TLh4+NTYjn1/O+JiYlayWR+fj6XLl3CwsKCxo0bK8ubN2+uTH2oi3q5h4eHxjbwd+KqzzaGpn7Q05UrV6psn7oUFBQozy9QT/NZGjs7O8zNzbl79y55eXlavfTFb3YuLioqCoAPP/yQZs2aaaxTz9KkS5MmTfDz8+PUqVNcuXJFuRn24d55NRMTE3x8fJT3XXp6Ov/9738JDw9n9erVfPzxx2W+RiEeZzKGXghRK7Vr1w74OyGpTseOHWPRokWYmZkxffp0Zfy+Ln5+fmzfvl3nz5QpU4Cimw63b9/O4sWL9dp/enq6MmSopGkj4e/hNr169Sr1akinTp0AdD4Q6+jRo+Tm5tKuXTtlDvri2xw9elTrQUh37twhNjYWa2trjXPTpk0brK2tuX79us4vAur9q+uuCuok1hDDfMojLCyMmzdv4uTkpDUzjC7m5uZ4eXlRWFjIwYMHtdarr8w8TP1FUNdMQxEREaXuU31z7NatW4mIiMDW1lavY4Wim27VD/K6ePGiXtsI8TiThF4IUSsNHDgQe3t7Nm7cyL59+7SGBeTk5LB///4Sh3NUltjYWOUBWh999BH+/v4G2c/Zs2eJiYnRep0pKSnMnTuXnJwcunTpUuIUkDk5OcqXn5KG26j1798fKysrDh8+rJEc3r17l5UrVwJozQTj5eVFmzZtuHv3Lj/88IOyvKCggGXLlpGfn88LL7ygcbOkhYWF8sCw5cuXa4yl37p1K8nJyXh7e+s1bKoyJCYmKj3NHTt2rJJ9PuzOnTssX76cH3/8EVNTU6ZMmaL3tKvqBHvt2rUaQ69SU1NZv369zm3Uw2PUM+SoRUZGag1De9hTTz2Fvb09u3fv5sGDBwQEBOg81p07d+rs7f/rr7+AqhtSJYQxkyE3QohaycbGhunTp/PFF18QHBzMunXraNq0KRYWFty8eZMrV66Qk5NDcHBwiUluZfj888/Jzc2lYcOGREVF6bxi4O3trfOpmuVx5coVgoODcXR0xM3Njfr163Pr1i0SExPJzc2ladOmvPPOOyVuHxUVRXZ2Ni1btsTd3b3Ufdna2jJ58mS+/vpr5s+fj6+vL3Z2dpw8eZLMzEwGDRqkXCEpburUqUybNo1t27YRExODu7s758+f58aNG7Rq1YpRo0ZpbRMYGEh0dDRxcXG8+eabeHt7c/PmTeLj47G1tVWuWlS2hQsXKr/n5+cr+ywsLKRz5856P5lVHyVdDfn+++81pgBNSUkhOTmZwsJC6tevz9SpU3nyySf13k+vXr04dOgQhw4dYtKkSbRr1w6VSkV0dDS+vr6YmJhozen/4osvcvz4cVatWkVkZCRubm5cu3aNhIQEhg0bxpYtW0rcn4WFBX379mXTpk1AycNtdu7cydKlS3F3d8fd3R0zMzOuXr1KUlISderUYcyYMXq/RiEeV5LQCyFqLW9vb7799lu2bt3KsWPHiImJwczMDEdHRzp16sRTTz1VZvL6qNTjklNSUjTmyX/Yoyb0rVq1YuDAgZw7d47Lly8TFxeHpaUlzZs3p3v37gwcOLDUm4OLD7fRR7du3fjyyy8JDQ0lPj6e/Px83N3def755+nbt6/Obdzc3AgODmbt2rUcP36cK1eu4OzsTGBgICNHjtQYoqNWp04d5s6dy8aNGwkPDycqKgobGxt69+7NuHHjDNZ7W7z32dTUFGtra3x8fAgICKBPnz46Z1sqr9zcXKDk4Tvqqx+mpqbUq1cPBwcHunfvTocOHejevbvO81UaExMTPvroIzZv3szevXs5duwYjo6OvPDCC4wdO5ZJkyZpbePr68tXX33FmjVrSEpK4urVq3h4eBAUFISnp2epCT0UzS2/adMm2rRpozUGX23cuHFERUURHx9PdHQ0+fn5NGjQgAEDBjB8+HCdN48LITSZqCp667sQQghhRPbt20dwcDBjxoxRxmdXl+zsbAIDA6lbty4bNmyolrn2q8KSJUvYvXs3U6ZMKfGLXkUtXLiQ/fv3M2/ePL1uDBaiNpMeeiGEEI+VqKgoUlJSqFu3Lm+//Xa1HMOOHTtQqVTKUJfaKDU1ld9//x07Ozt69OhRKXXm5OSwbNkyAOLi4iqlTiFqA0nohRBCPFYuXLjAhQsXsLa2rvKE/ptvvuHatWvEx8djbm6u874BY7d582YuXLjAyZMnyc3NZfz48aUO9yqP/Pz8Mm/GFeJxJENuhBBCiCoyaNAgrKysaNGiBaNHj66VQ0WCgoI4ffo0Tk5ODBgwgNGjR9faqxBC1BSS0AshhBBCCGHEZB56IYQQQgghjJgk9EIIIYQQQhgxSeiFEEIIIYQwYpLQCyGEEEIIYcQkoRdCCCGEEMKISUIvhBBCCCGEEZOEXgghhBBCCCMmCb0QQgghhBBGTBJ6IYQQQgghjNj/AVe0L2GYYGxsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 848.5x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = lcf.plot(label='PDCSAP Flux', normalize=True)\n",
    "lcf.plot(column='sap_flux', normalize=True, label='SAP Flux', ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In brief:\n",
    "\n",
    "* The SAP light curve is calculated by summing together the brightness of pixels that fall within an aperture set by the *TESS* mission. This is often referred to as the *optimal aperture*, but in spite of its name can sometimes be improved upon! Because the SAP light curve is a sum of the brightness in chosen pixels, it is still subject to systematic artifacts of the mission.\n",
    "\n",
    "* The PDCSAP light curve is subject to more treatment than the SAP light curve, and is specifically intended for detecting planets. The PDCSAP pipeline attempts to remove systematic artifacts while keeping planetary transits intact.\n",
    "\n",
    "Looking at the Figure we made above, you can see that the SAP light curve has a long-term change in brightness that has been removed in the PDCSAP light curve, while keeping the transits at the same depth. For most inspections, a PDCSAP light curve is what you want to use, but when looking at astronomical phenomena that aren't planets (e.g. long-term variability), the SAP flux may be preferred.\n",
    "\n",
    "You can switch between fluxes using the following commands,\n",
    "\n",
    "    pdcsap = lcf.flux\n",
    "    \n",
    "    sap =lcf.sap_flux\n",
    "\n",
    "\n",
    "For now, let's continue to use the PDCSAP flux only. Because this is the default .flux property of our light curve object, we don't need to change anything.\n",
    "\n",
    "#### Note\n",
    "\n",
    "The `plot()` methods in *Lightkurve* always return a [Matplotlib](https://matplotlib.org/) object. This is useful because it lets us manipulate the plot using standard Matplotlib functions. For example, we can set the title as follow:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'PDCSAP light curve of  L 98-59')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 848.5x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = lcf.plot() \n",
    "ax.set_title(\"PDCSAP light curve of  L 98-59\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets fold and bin our data to look at the transit as we did in the [LightCurve Object tutorial](LightCurve-object.html). Remember the `lcf.flux` default is the PDCSAP flux this time!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 848.5x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lcf.remove_nans().flatten(window_length=401).fold(period=3.690621,  epoch_time=1367.2755).bin(time_bin_size=0.025).plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Metadata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can check the meta data and the CDPP noise metric of the `TESSLightCurveFile` as we have in the past."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'inherit': True,\n",
       " 'extname': 'PRIMARY',\n",
       " 'extver': 1,\n",
       " 'simdata': False,\n",
       " 'telescop': 'TESS',\n",
       " 'instrume': 'TESS Photometer',\n",
       " 'object': 'TIC 307210830',\n",
       " 'ticid': 307210830,\n",
       " 'radesys': 'ICRS',\n",
       " 'ra_obj': 124.5319,\n",
       " 'dec_obj': -68.313,\n",
       " 'equinox': 2000.0,\n",
       " 'exposure': 21.710393585867,\n",
       " 'timeref': 'SOLARSYSTEM',\n",
       " 'tassign': 'SPACECRAFT',\n",
       " 'timesys': 'TDB',\n",
       " 'bjdrefi': 2457000,\n",
       " 'bjdreff': 0.0,\n",
       " 'timeunit': 'd',\n",
       " 'telapse': 27.412113113468,\n",
       " 'livetime': 21.71039358586663,\n",
       " 'tstart': 1354.101978098092,\n",
       " 'tstop': 1381.514471377755,\n",
       " 'date-obs': '2018-08-23T14:25:41.724Z',\n",
       " 'date-end': '2018-09-20T00:19:41.143Z',\n",
       " 'deadc': 0.792,\n",
       " 'timepixr': 0.5,\n",
       " 'tierrela': 1.16e-05,\n",
       " 'int_time': 1.98,\n",
       " 'readtime': 0.02,\n",
       " 'frametim': 2.0,\n",
       " 'num_frm': 60,\n",
       " 'timedel': 0.001388888888888889,\n",
       " 'backapp': True,\n",
       " 'deadapp': True,\n",
       " 'vignapp': True,\n",
       " 'gaina': 5.300000190734863,\n",
       " 'gainb': 5.179999828338623,\n",
       " 'gainc': 5.269999980926514,\n",
       " 'gaind': 5.190000057220459,\n",
       " 'readnoia': 10.017000198364258,\n",
       " 'readnoib': 7.407399654388428,\n",
       " 'readnoic': 7.85230016708374,\n",
       " 'readnoid': 9.964799880981445,\n",
       " 'nreadout': 48,\n",
       " 'fxdoff': 209700,\n",
       " 'cdpp0_5': 264.31433105,\n",
       " 'cdpp1_0': 202.23320007,\n",
       " 'cdpp2_0': 159.35473633,\n",
       " 'crowdsap': 0.99806839,\n",
       " 'flfrcsap': 0.87759632,\n",
       " 'nspsddet': 0,\n",
       " 'nspsdcor': 0,\n",
       " 'pdcvar': 0.9957757182968056,\n",
       " 'pdcmethd': 'msMAP',\n",
       " 'numband': 3,\n",
       " 'fittype1': 'reducedRobust',\n",
       " 'pr_good1': 0.9786046743392944,\n",
       " 'pr_wght1': 0.0,\n",
       " 'fittype2': 'prior',\n",
       " 'pr_good2': 0.06772279739379883,\n",
       " 'pr_wght2': 5.394961833953857,\n",
       " 'fittype3': 'prior',\n",
       " 'pr_good3': 0.6207972764968872,\n",
       " 'pr_wght3': 49.4542121887207,\n",
       " 'pdc_tot': 0.8734737634658813,\n",
       " 'pdc_totp': 54.40318298339844,\n",
       " 'pdc_cor': 0.999976396560669,\n",
       " 'pdc_corp': 76.24014282226562,\n",
       " 'pdc_var': 0.9333910942077637,\n",
       " 'pdc_varp': 23.97138214111328,\n",
       " 'pdc_noi': 0.5902431607246399,\n",
       " 'pdc_noip': 59.09120559692383,\n",
       " 'pdc_ept': 1.0,\n",
       " 'pdc_eptp': 53.693321228027344,\n",
       " 'checksum': 'ETQJHSNGESNGESNG',\n",
       " 'tmofst43': 1.0399999618530273,\n",
       " 'meanblca': 6664,\n",
       " 'meanblcb': 6554,\n",
       " 'meanblcc': 6593,\n",
       " 'meanblcd': 6169,\n",
       " 'simple': True,\n",
       " 'bitpix': 8,\n",
       " 'naxis': 0,\n",
       " 'extend': True,\n",
       " 'nextend': 2,\n",
       " 'origin': 'NASA/Ames',\n",
       " 'date': '2018-10-06',\n",
       " 'creator': '4612 LightCurveExporterPipelineModule',\n",
       " 'procver': 'spoc-3.3.37-20181001',\n",
       " 'filever': '1.0',\n",
       " 'timversn': 'OGIP/93-003',\n",
       " 'data_rel': 2,\n",
       " 'sector': 2,\n",
       " 'camera': 4,\n",
       " 'ccd': 3,\n",
       " 'pxtable': 129,\n",
       " 'pmra': 96.4716,\n",
       " 'pmdec': -340.083,\n",
       " 'pmtotal': 353.50136703,\n",
       " 'tessmag': 9.39299965,\n",
       " 'teff': 3469.0,\n",
       " 'logg': 4.94010019,\n",
       " 'mh': None,\n",
       " 'radius': 0.31299999,\n",
       " 'ticver': 7,\n",
       " 'crmiten': True,\n",
       " 'crblksz': 10,\n",
       " 'crspoc': False,\n",
       " 'label': 'TIC 307210830',\n",
       " 'mission': 'TESS',\n",
       " 'ra': 124.5319,\n",
       " 'dec': -68.313,\n",
       " 'filename': '/Users/rhounsel/.lightkurve-cache/mastDownload/TESS/tess2018234235059-s0002-0000000307210830-0121-s/tess2018234235059-s0002-0000000307210830-0121-s_lc.fits',\n",
       " 'targetid': 307210830,\n",
       " 'quality_bitmask': 'default',\n",
       " 'quality_mask': array([False, False, False, ...,  True,  True,  True])}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcf.meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'TESS'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcf.mission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcf.sector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$218.15446 \\; \\mathrm{ppm}$"
      ],
      "text/plain": [
       "<Quantity 218.15446034 ppm>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lcf.estimate_cdpp()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Congratulations! You have now learnt how to work with LightCurveFiles. "
   ]
  }
 ],
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