{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Background\n",
    "This notebook goes through the off position reduction in class for the orion B map\n",
    "The notebook will work through the following demos:\n",
    "   * download datas from the archive\n",
    "   * open class file and examine contents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "// http://lokeshdhakar.com/projects/lightbox2\n",
       "<link href=\"./notebook_support/lightbox2-master/dist/css/lightbox.css\" rel=\"stylesheet\">\n",
       "\n",
       "<script src=\"./notebook_support/lightbox2-master/dist/js/lightbox.js\"></script>\n",
       "\n",
       "<script>\n",
       "  function code_toggle() {\n",
       "    if (code_shown){\n",
       "      $('div.input').hide('500');\n",
       "      $('#toggleButton').val('Show Code')\n",
       "    } else {\n",
       "      $('div.input').show('500');\n",
       "      $('#toggleButton').val('Hide Code')\n",
       "    }\n",
       "    code_shown = !code_shown\n",
       "  }\n",
       "\n",
       "  $( document ).ready(function(){\n",
       "    code_shown=false;\n",
       "    $('div.input').hide()\n",
       "  });\n",
       "</script>\n",
       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" id=\"toggleButton\" value=\"Show Code\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "\n",
    "HTML('''\n",
    "// http://lokeshdhakar.com/projects/lightbox2\n",
    "<link href=\"./notebook_support/lightbox2-master/dist/css/lightbox.css\" rel=\"stylesheet\">\n",
    "\n",
    "<script src=\"./notebook_support/lightbox2-master/dist/js/lightbox.js\"></script>\n",
    "\n",
    "<script>\n",
    "  function code_toggle() {\n",
    "    if (code_shown){\n",
    "      $('div.input').hide('500');\n",
    "      $('#toggleButton').val('Show Code')\n",
    "    } else {\n",
    "      $('div.input').show('500');\n",
    "      $('#toggleButton').val('Hide Code')\n",
    "    }\n",
    "    code_shown = !code_shown\n",
    "  }\n",
    "\n",
    "  $( document ).ready(function(){\n",
    "    code_shown=false;\n",
    "    $('div.input').hide()\n",
    "  });\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" id=\"toggleButton\" value=\"Show Code\"></form>''')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# import commands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: regions in /home/higgins/virtualenv/common36/lib/python3.6/site-packages (0.5)\r\n",
      "Requirement already satisfied: astropy>=3.2 in /home/higgins/virtualenv/common36/lib/python3.6/site-packages (from regions) (4.1)\r\n",
      "Requirement already satisfied: numpy>=1.16 in /home/higgins/virtualenv/common36/lib/python3.6/site-packages (from regions) (1.19.5)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install regions #pip install \"regions[all]\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "## import\n",
    "from astropy.io import fits\n",
    "\n",
    "import numpy as np\n",
    "import glob\n",
    "import datetime\n",
    "import pandas as pd\n",
    "import logging\n",
    "import os,re\n",
    "import time\n",
    "import subprocess\n",
    "import cygrid\n",
    "from astropy.wcs import WCS\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from spectral_cube import SpectralCube\n",
    "from matplotlib.lines import lineStyles\n",
    "from astropy.io import fits\n",
    "from astropy import units as u\n",
    "import jinja2\n",
    "import requests\n",
    "import regions\n",
    "#\n",
    "from spectral_cube import SpectralCube\n",
    "from astropy import units as u\n",
    "from astropy.io import fits\n",
    "# notebook\n",
    "from IPython.display import Image, display\n",
    "from IPython.display import HTML\n",
    "# astropy\n",
    "from astropy.io import fits\n",
    "from astropy import constants as const\n",
    "from astropy import units as u\n",
    "from astropy.table import Table\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (15.0, 7.0)\n",
    "\n",
    "def PrintMessage(message):\n",
    "    html='''\n",
    "    <table style=\"width:100%\">\n",
    "        <tr>\n",
    "            <td style='text-align:center;vertical-align:middle'>{0}</td>\n",
    "        </tr>\n",
    "    </table>\n",
    "    '''\n",
    "    display(HTML(html.format(message)))\n",
    "\n",
    "\n",
    "def Change1dListTo2dList(array, column=2):\n",
    "    test = []\n",
    "    test_row = []\n",
    "    for item in array:\n",
    "        test_row.append(item)\n",
    "        if len(test_row)> column-1:\n",
    "            test.append(test_row)\n",
    "            test_row = []\n",
    "    if len(test_row)>0:\n",
    "        test.append(test_row)\n",
    "    return test\n",
    "\n",
    "def DisplayImagesInColumns(images,image_columns=2, gallery_label=\"\"):\n",
    "    popup_css='''    \n",
    "    \n",
    "    <style>\n",
    "    .thumb img { \n",
    "        border:1px solid #000;\n",
    "        margin:3px;    \n",
    "        float:left;\n",
    "    }\n",
    "    .thumb span { \n",
    "        position:fixed;\n",
    "        visibility:hidden;\n",
    "    }\n",
    "    .thumb:hover, .thumb:hover span { \n",
    "        visibility:visible;\n",
    "        z-index:1;\n",
    "    }\n",
    "\n",
    "    </style>\n",
    "\n",
    "    '''\n",
    "    \n",
    "    html='''    \n",
    "    <a href={0} target=\"_blank\">\n",
    "    <img style='width: {1:2.0f}%; margin: 0px; float: left; border: 0px solid black;' src='{0}?{2}' />\n",
    "    </a>\n",
    "    '''\n",
    "    html='''    \n",
    "    <a href={0}  target=\"_blank\">\n",
    "    <img style='width: {1:2.0f}%; margin: 0px; float: left; border: 0px solid black;' src='{0}?{2}' />\n",
    "    </a>\n",
    "    '''\n",
    "    \n",
    "    #html='''    \n",
    "    #<a href={0}  data-lightbox={3} data-title=\"{0}\">\n",
    "    #<img style='width: {1:2.0f}%; margin: 0px; float: left; border: 0px solid black;' src='{0}?{2}' />\n",
    "    #</a>\n",
    "    #'''\n",
    "    \n",
    "    list2d = Change1dListTo2dList(images, column=image_columns)\n",
    "    width_percent = (1/float(image_columns))*100.0\n",
    "    gallery_label = gallery_label.replace(\" \",\"\")\n",
    "    for row in list2d:\n",
    "        imagesList=popup_css.join( [html.format(image,width_percent-2,time.time(),gallery_label) \n",
    "                     for image in row ])\n",
    "        display(HTML(imagesList))\n",
    "    return imagesList\n",
    "   \n",
    "\n",
    "# Helper Class to run class_cmd_strings and export the images that were created to the notebook\n",
    "class RunClassScript():\n",
    "    def __init__(self, cmd, no_output=False, display_images=True, test=False):\n",
    "        self.cmd = cmd\n",
    "        self.cmd_file = \"/tmp/cmd.class\"\n",
    "        self.cmd_log = \"/tmp/cmd.log\"\n",
    "        self.images = [string.split()[1].replace(\"\\\"\",\"\").replace(\"//\",\"/\") for string in self.cmd.split(\"\\n\") if string[0:2] == \"ha\"]\n",
    "        if self.cmd.split(\"\\n\")[-1].strip() != \"exit 0\":\n",
    "            self.cmd = \"{}\\nexit 0\\n\".format(self.cmd)\n",
    "        subprocess.call([\"rm\", \"-rf\", \"/tmp/cmd.class\"])\n",
    "        fileout = open(self.cmd_file, \"w\")\n",
    "        fileout.write(self.cmd)\n",
    "        fileout.close()\n",
    "        #output = subprocess.check_output(\"class -nw @{0}\".format(self.cmd_file), shell=True)\n",
    "        if test:\n",
    "            print(self.cmd)\n",
    "        try:\n",
    "            output = subprocess.check_call(\"class  @{0} > {1}\".format(self.cmd_file,self.cmd_log), shell=True)\n",
    "        except subprocess.CalledProcessError as e:\n",
    "            print(\"======================================\")\n",
    "            print(\"=========== ERROR in class cmd =======\")\n",
    "            print(\"======================================\")\n",
    "            print(\"\\n\")\n",
    "            print(\"======================================\")\n",
    "            print(\"============= INPUT FILE =============\")\n",
    "            print(\"======================================\")\n",
    "            with open(self.cmd_file, 'r') as fin:\n",
    "                for line in fin.readlines():\n",
    "                    if line[0]!=\" \":\n",
    "                        print(line.strip(\"\\n\"))\n",
    "            print(\"======================================\")\n",
    "            print(\"========= OUTPUT LOGFILE =============\")\n",
    "            print(\"======================================\")                        \n",
    "            with open(self.cmd_log, 'r') as fin:\n",
    "                for line in fin.readlines()[-300:]:\n",
    "                    if (len(set(line))>1):\n",
    "                        print(line.strip(\"\\n\"))\n",
    "            raise subprocess.CalledProcessError(e.returncode,e.cmd, e.output)\n",
    "        if output!=0:\n",
    "            print(output)\n",
    "            self.output=output\n",
    "        #\n",
    "        if display_images:\n",
    "            for image in self.images:\n",
    "                if os.path.exists(image):\n",
    "                    #display(image, Image(image),width=300,height=300)\n",
    "                    display(image, Image(image))\n",
    "def GenerateGIFAnimation(images,gif_filename):\n",
    "    convert_cmd = \"convert -delay 50\"\\\n",
    "                  \" -loop 0 \"\\\n",
    "                  \"{0} \"\\\n",
    "                  \"{1}\".format(images,gif_filename)\n",
    "    os.system(convert_cmd)\n",
    "    \n",
    "\n",
    "    from IPython.display import HTML\n",
    "\n",
    "def download_file(url,local_filename):\n",
    "    #local_filename = url.split('/')[-1]\n",
    "    r = requests.get(url)\n",
    "    f = open(local_filename, 'wb')\n",
    "    for chunk in r.iter_content(chunk_size=512 * 1024): \n",
    "        if chunk: # filter out keep-alive new chunks\n",
    "            f.write(chunk)\n",
    "    f.close()\n",
    "    return \n",
    "\n",
    "def show_file_content(file, num_lines:int=0,with_line_numbers:bool=False):\n",
    "    ''' To show class console output '''\n",
    "    a_file = open(file, \"r\")\n",
    "    lines = a_file.readlines()\n",
    "    last_lines= lines[-num_lines:]    \n",
    "    for i,line in enumerate(last_lines):\n",
    "        string=line.strip\n",
    "        if with_line_numbers:\n",
    "            print(f'{i} {line}', end=\"\")\n",
    "        else:\n",
    "            print(line.strip(\"\\n\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       "table {align:left;display:block}\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<style>\n",
    "table {align:left;display:block}\n",
    "</style>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Download test data from archive\n",
    "\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In these examples we'll download level 3 data from the archive, first go to the ISRA archive page:\n",
    "https://irsa.ipac.caltech.edu/applications/sofia/?__action=layout.showDropDown&view=Search\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./tmp/data/2017-02-08_GR_F371_04_0066_0010505_1900536.9.great.tar already downloaded\n",
      " 2017-02-08_GR_F371_04_0066_0010505_1900536.9 already extracted\n"
     ]
    }
   ],
   "source": [
    "data_folder = \"./tmp/data\"\n",
    "\n",
    "\n",
    "if not os.path.exists(data_folder):\n",
    "    print(\"making folder {0}\".format(data_folder))\n",
    "    #os.makedirs(data_folder)\n",
    "    os.makedirs(data_folder,exist_ok=True)\n",
    "    \n",
    "urls = []\n",
    "#urls.append(\"https://irsa.ipac.caltech.edu/data/SOFIA/GREAT/OC4K/20161110_F348/proc/p8486/data/2016-11-10_GR_F348_04_0066_0010505_1900536.9.great.tar\")\n",
    "urls.append(\"https://irsa.ipac.caltech.edu/data/SOFIA/GREAT/OC5A/20170208_F371/proc/p4006/data/2017-02-08_GR_F371_04_0066_0010505_1900536.9.great.tar\")\n",
    "#urls.append(\"https://irsa.ipac.caltech.edu/data/SOFIA/GREAT/OC9C/20210807_F766/proc/p10803/data/2021-08-07_GR_F766_07_0077_09221_1900536.9.great.tar\")\n",
    "\n",
    "for url in urls:\n",
    "    filename = \"{0}/{1}\".format(data_folder,url.split('/')[-1])\n",
    "    if not os.path.exists(filename):\n",
    "        print(\"downloading {0} to {1}\".format(url, filename))\n",
    "        download_file(url, filename)\n",
    "    else:\n",
    "        print(\"{1} already downloaded\".format(url, filename))\n",
    "# untar\n",
    "already_downloaded_great = glob.glob(\"tmp/data/**/*.great\")\n",
    "#\n",
    "for url in urls:\n",
    "    # check for great file\n",
    "    tar_filename = \"{0}/{1}\".format(data_folder,url.split('/')[-1])\n",
    "    filename_great,ext = os.path.splitext(tar_filename)\n",
    "    full_filename_great,ext = os.path.splitext(os.path.basename(filename_great))\n",
    "    #\n",
    "    found = [filename for filename in  already_downloaded_great if full_filename_great in filename]\n",
    "    if len(found)>0:\n",
    "        print(\" {0} already extracted\".format(full_filename_great))\n",
    "    else:\n",
    "        print(\" {0} extracting\".format(full_filename_great))\n",
    "        #cmd=\"tar -xvf {0} --wildcards --no-anchored '*Tmb.great' --one-top-level={1}\".format(tar_filename,data_folder)\n",
    "        cmd=\"tar -xvf {0} --one-top-level={1}\".format(tar_filename, data_folder)\n",
    "        print(cmd)        \n",
    "        output = subprocess.check_output(cmd, shell=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#  THE DATA PRODUCTS  IN THE ARCHIVE #\n",
    "## LEVEL 3 DATA \n",
    "  * Level 3 data contains fully calibrated spectra hand reduced by the GREAT team\n",
    "  * produced by the calibration program kalibrate from level 1 data "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "The Downloaded data contains 2 **.great** files: \n",
    "\n",
    " * Scientific target spectra in units of Antenna Temperature and additional output spectra.\n",
    " * Scientific target spectra only, in units of Main Beam Temperature.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Antenna Temperature file\n",
    "Let's open the Tant file and look at the data.\n",
    "For ease of display, the notebook runs class script below, the class output is captured by the python routine and can be displayed to screen, see an example below using the list /toc function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "I-FIND,  15848 observations found\n",
      "Current index contains:\n",
      "Number of sources......  12\n",
      "   TREC (SSB)            42 (  0.3%)\n",
      "   OMC_CENTER         14112 ( 89.0%)\n",
      "   CAL_SIG              196 (  1.2%)\n",
      "   CAL_IMG              196 (  1.2%)\n",
      "   TSYS                 196 (  1.2%)\n",
      "   TAU_SIG              196 (  1.2%)\n",
      "   TAU_IMG              196 (  1.2%)\n",
      "   TAU_AVG              196 (  1.2%)\n",
      "   S-H_OBS              168 (  1.1%)\n",
      "   S-H_FIT              168 (  1.1%)\n",
      "   SKY-DIFF             154 (  1.0%)\n",
      "   HOT-COLD              28 (  0.2%)\n",
      "Number of setups.......  12\n",
      "   TREC (SSB)            42 (  0.3%)\n",
      "   OMC_CENTER         14112 ( 89.0%)\n",
      "   CAL_SIG              196 (  1.2%)\n",
      "   CAL_IMG              196 (  1.2%)\n",
      "   TSYS                 196 (  1.2%)\n",
      "   TAU_SIG              196 (  1.2%)\n",
      "   TAU_IMG              196 (  1.2%)\n",
      "   TAU_AVG              196 (  1.2%)\n",
      "   S-H_OBS              168 (  1.1%)\n",
      "   S-H_FIT              168 (  1.1%)\n",
      "   SKY-DIFF             154 (  1.0%)\n",
      "   HOT-COLD              28 (  0.2%)\n"
     ]
    }
   ],
   "source": [
    "input_filename = os.path.abspath(\"./tmp/data/2017-02-08_GR_F371_04_0066_0010505_1900536.9/2017-02-08_GR_F371_04_0066_0010505_1900536.9_Tmb.great\")\n",
    "#input_filename = os.path.abspath(\"./tmp/data/2021-08-07_GR_F766_07_0077_09221_1900536.9/2021-08-07_GR_F766_07_0077_09221_1900536.9_Tant.great\")\n",
    "print(os.path.exists(input_filename))\n",
    "cmd = f'''\n",
    "file in \"{input_filename}\"\n",
    "find\n",
    "list /toc source\n",
    "'''\n",
    "output = RunClassScript(cmd)\n",
    "show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## spectra names breakdown\n",
    "\n",
    "|Name|Description| Uses| \n",
    "|:---|:---------|:-----|\n",
    "|TREC (SSB)| receiver temperature| check instrument and pixel performance/sensitivity | \n",
    "|RCW79| astronomical data| |\n",
    "|TSYS| system temperature (including atmospheric affects)| Check ATM affects on sensitivity (compared to TREC)|\n",
    "|TAU_SIG| Atmospheric transmission in signal side band | |\n",
    "|TAU_IMG| Atmospheric transmission in image side band  | |\n",
    "|TAU_AVG| Average atmospheric transmission | |\n",
    "|S-H_OBS| Off-Hot spectra used for atmospheric fitting | if suspicious of transmission values check data quality here|\n",
    "|S-H\\_FIT| Atmospheric model fit to S-H\\_OBS| Check fit match S-H_OBS spectra, check frequencies correct (for HFAV useful where QCL LO frequency drift could be an issue)|\n",
    "|SKY-DIFF| Difference between subsequenct OFF spectra | Useful to check based quality, input for spline and PCA fitting methods|\n",
    "|HOT-COLD| Temperature calibrate spectra from the HOT-COLD | check temperature difference between the Hot and COLD, useful debug for system response |\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## examples of different spectra products\n",
    "\n",
    "Below is a class script to programmatically go through the file index and generate plots for each pixel.\n",
    "You can use the **list /toc** function to group the spectra and extract the pixel names to a variable. You can then loop over this array to make plots per spectra."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I-GET,  Observation 9522; Vers 5 Scan 18248\n",
      "I-GET,  Observation 9809; Vers 5 Scan 18250\n",
      "SOF-LFAV_2_S\n",
      "I-FIND,  3 observations found\n",
      "I-GET,  Observation 10189; Vers 5 Scan 18246\n",
      "I-GET,  Observation 10654; Vers 5 Scan 18248\n",
      "I-GET,  Observation 10941; Vers 5 Scan 18250\n",
      "SOF-LFAV_3_S\n",
      "I-FIND,  3 observations found\n",
      "I-GET,  Observation 11321; Vers 5 Scan 18246\n",
      "I-GET,  Observation 11786; Vers 5 Scan 18248\n",
      "I-GET,  Observation 12073; Vers 5 Scan 18250\n",
      "SOF-LFAV_4_S\n",
      "I-FIND,  3 observations found\n",
      "I-GET,  Observation 12453; Vers 5 Scan 18246\n",
      "I-GET,  Observation 12918; Vers 5 Scan 18248\n",
      "I-GET,  Observation 13205; Vers 5 Scan 18250\n",
      "SOF-LFAV_5_S\n",
      "I-FIND,  3 observations found\n",
      "I-GET,  Observation 13585; Vers 5 Scan 18246\n",
      "I-GET,  Observation 14050; Vers 5 Scan 18248\n",
      "I-GET,  Observation 14337; Vers 5 Scan 18250\n",
      "SOF-LFAV_6_S\n",
      "I-FIND,  3 observations found\n",
      "I-GET,  Observation 14717; Vers 5 Scan 18246\n",
      "I-GET,  Observation 15182; Vers 5 Scan 18248\n",
      "I-GET,  Observation 15469; Vers 5 Scan 18250\n",
      "I-HARDCOPY,  ./tmp/TREC_per_pixel.png created\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "    \n",
       "    <a href=./tmp/average_TREC_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/average_TREC_per_pixel.png?1683908028.7119029' />\n",
       "    </a>\n",
       "        \n",
       "    \n",
       "    <style>\n",
       "    .thumb img { \n",
       "        border:1px solid #000;\n",
       "        margin:3px;    \n",
       "        float:left;\n",
       "    }\n",
       "    .thumb span { \n",
       "        position:fixed;\n",
       "        visibility:hidden;\n",
       "    }\n",
       "    .thumb:hover, .thumb:hover span { \n",
       "        visibility:visible;\n",
       "        z-index:1;\n",
       "    }\n",
       "\n",
       "    </style>\n",
       "\n",
       "        \n",
       "    <a href=./tmp/TREC_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/TREC_per_pixel.png?1683908028.7119193' />\n",
       "    </a>\n",
       "    "
      ],
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       "<IPython.core.display.HTML object>"
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     "data": {
      "text/plain": [
       "'    \\n    <a href=./tmp/average_TREC_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/average_TREC_per_pixel.png?1683908028.7119029\\' />\\n    </a>\\n        \\n    \\n    <style>\\n    .thumb img { \\n        border:1px solid #000;\\n        margin:3px;    \\n        float:left;\\n    }\\n    .thumb span { \\n        position:fixed;\\n        visibility:hidden;\\n    }\\n    .thumb:hover, .thumb:hover span { \\n        visibility:visible;\\n        z-index:1;\\n    }\\n\\n    </style>\\n\\n        \\n    <a href=./tmp/TREC_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/TREC_per_pixel.png?1683908028.7119193\\' />\\n    </a>\\n    '"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "cmd ='''\n",
    "file in \"{input_filename}\"\n",
    "\n",
    "def struct telescopes\n",
    "find\n",
    "list /toc tel /variable telescopes\n",
    "set source {source}*\n",
    "find\n",
    "set unit v\n",
    "set mode x {x_limits}\n",
    "set nomatch\n",
    "set weight equal\n",
    "set nocheck cal\n",
    "set mode y {y_limits}\n",
    "for tel_nb 1 to telescopes%ntele\n",
    "   say 'telescopes%tele[tel_nb]'\n",
    "   find /tel 'telescopes%tele[tel_nb]'\n",
    "   !\n",
    "   if found.ne.0 then\n",
    "      average\n",
    "   endif\n",
    "   smooth box {smooth_box}\n",
    "   pen 'mod(tel_nb,7)'\n",
    "   if tel_nb.eq.1 then\n",
    "      pen 0\n",
    "      plot\n",
    "   else\n",
    "      spec\n",
    "   endif\n",
    "next\n",
    "!get f\n",
    "!pl\n",
    "ha \"./tmp/average_{source}_per_pixel.png\" /dev png /overwrite\n",
    "\n",
    "! show all TRECS per pixel in one plot\n",
    "for tel_nb 1 to telescopes%ntele\n",
    "   say 'telescopes%tele[tel_nb]'\n",
    "   find /tel 'telescopes%tele[tel_nb]'\n",
    "   !\n",
    "   pen 'mod(tel_nb,7)'\n",
    "   for i 1 to found\n",
    "       get n\n",
    "       smooth box {smooth_box}\n",
    "       if tel_nb.eq.1 then\n",
    "          pen 0\n",
    "          plot\n",
    "       else\n",
    "          spec\n",
    "       endif\n",
    "   next\n",
    "next\n",
    "!get f\n",
    "!pl\n",
    "ha \"./tmp/{source}_per_pixel.png\" /dev png /overwrite\n",
    "'''\n",
    "source=\"TREC\"\n",
    "y_limits=\"1000 8000\"\n",
    "x_limits=\"-150 100\" #km/s\n",
    "smooth_box=2\n",
    "output=RunClassScript(cmd.format(**locals()),display_images=False)\n",
    "show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)\n",
    "DisplayImagesInColumns(output.images,image_columns=2, gallery_label=\"Left (averaged TREC per pixel, all TREC spectra )\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## example TSYS spectrum ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "    \n",
       "    <a href=./tmp/average_TSYS_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/average_TSYS_per_pixel.png?1683908030.852345' />\n",
       "    </a>\n",
       "        \n",
       "    \n",
       "    <style>\n",
       "    .thumb img { \n",
       "        border:1px solid #000;\n",
       "        margin:3px;    \n",
       "        float:left;\n",
       "    }\n",
       "    .thumb span { \n",
       "        position:fixed;\n",
       "        visibility:hidden;\n",
       "    }\n",
       "    .thumb:hover, .thumb:hover span { \n",
       "        visibility:visible;\n",
       "        z-index:1;\n",
       "    }\n",
       "\n",
       "    </style>\n",
       "\n",
       "        \n",
       "    <a href=./tmp/TSYS_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/TSYS_per_pixel.png?1683908030.8523633' />\n",
       "    </a>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'    \\n    <a href=./tmp/average_TSYS_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/average_TSYS_per_pixel.png?1683908030.852345\\' />\\n    </a>\\n        \\n    \\n    <style>\\n    .thumb img { \\n        border:1px solid #000;\\n        margin:3px;    \\n        float:left;\\n    }\\n    .thumb span { \\n        position:fixed;\\n        visibility:hidden;\\n    }\\n    .thumb:hover, .thumb:hover span { \\n        visibility:visible;\\n        z-index:1;\\n    }\\n\\n    </style>\\n\\n        \\n    <a href=./tmp/TSYS_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/TSYS_per_pixel.png?1683908030.8523633\\' />\\n    </a>\\n    '"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source=\"TSYS\"\n",
    "y_limits=\"1000 8000\"\n",
    "x_limits=\"-150 100\" #km/s\n",
    "smooth_box=2\n",
    "output=RunClassScript(cmd.format(**locals()),display_images=False)\n",
    "#show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)\n",
    "DisplayImagesInColumns(output.images,image_columns=2, gallery_label=\"Left (averaged TREC per pixel, all TREC spectra )\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## example TAU_SIGNAL spectra ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "    \n",
       "    <a href=./tmp/average_TAU_SIG_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/average_TAU_SIG_per_pixel.png?1683908031.4928908' />\n",
       "    </a>\n",
       "        \n",
       "    \n",
       "    <style>\n",
       "    .thumb img { \n",
       "        border:1px solid #000;\n",
       "        margin:3px;    \n",
       "        float:left;\n",
       "    }\n",
       "    .thumb span { \n",
       "        position:fixed;\n",
       "        visibility:hidden;\n",
       "    }\n",
       "    .thumb:hover, .thumb:hover span { \n",
       "        visibility:visible;\n",
       "        z-index:1;\n",
       "    }\n",
       "\n",
       "    </style>\n",
       "\n",
       "        \n",
       "    <a href=./tmp/TAU_SIG_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/TAU_SIG_per_pixel.png?1683908031.4929104' />\n",
       "    </a>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'    \\n    <a href=./tmp/average_TAU_SIG_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/average_TAU_SIG_per_pixel.png?1683908031.4928908\\' />\\n    </a>\\n        \\n    \\n    <style>\\n    .thumb img { \\n        border:1px solid #000;\\n        margin:3px;    \\n        float:left;\\n    }\\n    .thumb span { \\n        position:fixed;\\n        visibility:hidden;\\n    }\\n    .thumb:hover, .thumb:hover span { \\n        visibility:visible;\\n        z-index:1;\\n    }\\n\\n    </style>\\n\\n        \\n    <a href=./tmp/TAU_SIG_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/TAU_SIG_per_pixel.png?1683908031.4929104\\' />\\n    </a>\\n    '"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source=\"TAU_SIG\"\n",
    "y_limits=\"0.12 1.0\"\n",
    "x_limits=\"-150 100\" #km/s\n",
    "smooth_box=2\n",
    "output=RunClassScript(cmd.format(**locals()),display_images=False)\n",
    "#show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)\n",
    "DisplayImagesInColumns(output.images,image_columns=2, gallery_label=\"Left (averaged TREC per pixel, all TREC spectra )\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## example SKY-OBS spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "    \n",
       "    <a href=./tmp/average_S-H_FIT_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/average_S-H_FIT_per_pixel.png?1683908032.6160994' />\n",
       "    </a>\n",
       "        \n",
       "    \n",
       "    <style>\n",
       "    .thumb img { \n",
       "        border:1px solid #000;\n",
       "        margin:3px;    \n",
       "        float:left;\n",
       "    }\n",
       "    .thumb span { \n",
       "        position:fixed;\n",
       "        visibility:hidden;\n",
       "    }\n",
       "    .thumb:hover, .thumb:hover span { \n",
       "        visibility:visible;\n",
       "        z-index:1;\n",
       "    }\n",
       "\n",
       "    </style>\n",
       "\n",
       "        \n",
       "    <a href=./tmp/S-H_FIT_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/S-H_FIT_per_pixel.png?1683908032.616118' />\n",
       "    </a>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'    \\n    <a href=./tmp/average_S-H_FIT_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/average_S-H_FIT_per_pixel.png?1683908032.6160994\\' />\\n    </a>\\n        \\n    \\n    <style>\\n    .thumb img { \\n        border:1px solid #000;\\n        margin:3px;    \\n        float:left;\\n    }\\n    .thumb span { \\n        position:fixed;\\n        visibility:hidden;\\n    }\\n    .thumb:hover, .thumb:hover span { \\n        visibility:visible;\\n        z-index:1;\\n    }\\n\\n    </style>\\n\\n        \\n    <a href=./tmp/S-H_FIT_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/S-H_FIT_per_pixel.png?1683908032.616118\\' />\\n    </a>\\n    '"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source=\"S-H_FIT\"\n",
    "y_limits=\"-350 -200\"\n",
    "x_limits=\"tot\" #km/s\n",
    "smooth_box=20\n",
    "output=RunClassScript(cmd.format(**locals()),display_images=False)\n",
    "#show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)\n",
    "DisplayImagesInColumns(output.images,image_columns=2)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## example SKY-DIFF spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "    \n",
       "    <a href=./tmp/average_SKY-DIFF_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/average_SKY-DIFF_per_pixel.png?1683908033.2408075' />\n",
       "    </a>\n",
       "        \n",
       "    \n",
       "    <style>\n",
       "    .thumb img { \n",
       "        border:1px solid #000;\n",
       "        margin:3px;    \n",
       "        float:left;\n",
       "    }\n",
       "    .thumb span { \n",
       "        position:fixed;\n",
       "        visibility:hidden;\n",
       "    }\n",
       "    .thumb:hover, .thumb:hover span { \n",
       "        visibility:visible;\n",
       "        z-index:1;\n",
       "    }\n",
       "\n",
       "    </style>\n",
       "\n",
       "        \n",
       "    <a href=./tmp/SKY-DIFF_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/SKY-DIFF_per_pixel.png?1683908033.2408268' />\n",
       "    </a>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'    \\n    <a href=./tmp/average_SKY-DIFF_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/average_SKY-DIFF_per_pixel.png?1683908033.2408075\\' />\\n    </a>\\n        \\n    \\n    <style>\\n    .thumb img { \\n        border:1px solid #000;\\n        margin:3px;    \\n        float:left;\\n    }\\n    .thumb span { \\n        position:fixed;\\n        visibility:hidden;\\n    }\\n    .thumb:hover, .thumb:hover span { \\n        visibility:visible;\\n        z-index:1;\\n    }\\n\\n    </style>\\n\\n        \\n    <a href=./tmp/SKY-DIFF_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/SKY-DIFF_per_pixel.png?1683908033.2408268\\' />\\n    </a>\\n    '"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source=\"SKY-DIFF\"\n",
    "y_limits=\"-50 50\"\n",
    "x_limits=\"-150 100\" #km/s\n",
    "smooth_box=20\n",
    "output=RunClassScript(cmd.format(**locals()),display_images=False)\n",
    "#show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)\n",
    "DisplayImagesInColumns(output.images,image_columns=2, gallery_label=\"Left (averaged TREC per pixel, all TREC spectra )\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## example averaged of astronomical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "file in \"/home/higgins/software/GREAT_data_reduction_notebook/tmp/data/2017-02-08_GR_F371_04_0066_0010505_1900536.9/2017-02-08_GR_F371_04_0066_0010505_1900536.9_Tmb.great\"\n",
      "\n",
      "def struct telescopes\n",
      "find\n",
      "list /toc tel /variable telescopes\n",
      "set source OMC*\n",
      "find\n",
      "set unit v\n",
      "set mode x -150 100\n",
      "set nomatch\n",
      "set weight equal\n",
      "set nocheck cal\n",
      "set mode y -25 20\n",
      "\n",
      "go where\n",
      "ha \"./tmp/sky_positions_OMC_per_pixel.png\" /dev png /overwrite\n",
      "for tel_nb 1 to telescopes%ntele\n",
      "   say 'telescopes%tele[tel_nb]'\n",
      "   find /tel 'telescopes%tele[tel_nb]'\n",
      "   !\n",
      "   if found.ne.0 then\n",
      "      average\n",
      "   endif\n",
      "   smooth box 20\n",
      "   pen 'mod(tel_nb,7)'\n",
      "   if tel_nb.eq.1 then\n",
      "      pen 0\n",
      "      plot\n",
      "   else\n",
      "      spec\n",
      "   endif\n",
      "next\n",
      "!get f\n",
      "!pl\n",
      "ha \"./tmp/average_OMC_per_pixel.png\" /dev png /overwrite\n",
      "\n",
      "\n",
      "  Checking Position information\n",
      "  Leaving  Offset position\n",
      "  Checking Line Name\n",
      "  Checking Spectroscopic information\n",
      "  Leaving  Calibration information\n",
      "  Checking Switching information\n",
      "Reference spectrum:\n",
      "  Source Name       : OMC_CENTER\n",
      "  Coordinate System : EQUATORIAL  2000.0\n",
      "  Proj. Center (rad): lambda     1.463725, beta    -0.093829, tolerance 4.8E-08\n",
      "  Line Name         : CII_L\n",
      "  Frequency (MHz)   : rest    1.901E+06, resol   -2.441E-01\n",
      "  Velocity (km/s)   : resol    3.851E-02, offset    1.000E+01\n",
      "  Alignment (chan)  : tolerance    10.0%\n",
      "  Calibration       : beeff  0.670,gain  0.500\n",
      "Channel alignment, no resampling:\n",
      "- Input axes:\n",
      "    Doppler: from -1.65841E-04 to -1.65755E-04\n",
      "- Output axis:\n",
      "    Nchan: 16384\n",
      "    Rchan: 7781.333\n",
      "    Restf: 1900536.900 MHz\n",
      "    Image: 1904337.530 MHz\n",
      "    Fres: -.244100 MHz\n",
      "    Doppler: -1.65787E-04\n",
      "    Voff: 10.000 km/s\n",
      "    Vres: .038511 km/s\n",
      "I-HARDCOPY,  ./tmp/average_OMC_per_pixel.png created\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "    \n",
       "    <a href=./tmp/sky_positions_OMC_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/sky_positions_OMC_per_pixel.png?1683908048.8936868' />\n",
       "    </a>\n",
       "        \n",
       "    \n",
       "    <style>\n",
       "    .thumb img { \n",
       "        border:1px solid #000;\n",
       "        margin:3px;    \n",
       "        float:left;\n",
       "    }\n",
       "    .thumb span { \n",
       "        position:fixed;\n",
       "        visibility:hidden;\n",
       "    }\n",
       "    .thumb:hover, .thumb:hover span { \n",
       "        visibility:visible;\n",
       "        z-index:1;\n",
       "    }\n",
       "\n",
       "    </style>\n",
       "\n",
       "        \n",
       "    <a href=./tmp/average_OMC_per_pixel.png  target=\"_blank\">\n",
       "    <img style='width: 48%; margin: 0px; float: left; border: 0px solid black;' src='./tmp/average_OMC_per_pixel.png?1683908048.893707' />\n",
       "    </a>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "'    \\n    <a href=./tmp/sky_positions_OMC_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/sky_positions_OMC_per_pixel.png?1683908048.8936868\\' />\\n    </a>\\n        \\n    \\n    <style>\\n    .thumb img { \\n        border:1px solid #000;\\n        margin:3px;    \\n        float:left;\\n    }\\n    .thumb span { \\n        position:fixed;\\n        visibility:hidden;\\n    }\\n    .thumb:hover, .thumb:hover span { \\n        visibility:visible;\\n        z-index:1;\\n    }\\n\\n    </style>\\n\\n        \\n    <a href=./tmp/average_OMC_per_pixel.png  target=\"_blank\">\\n    <img style=\\'width: 48%; margin: 0px; float: left; border: 0px solid black;\\' src=\\'./tmp/average_OMC_per_pixel.png?1683908048.893707\\' />\\n    </a>\\n    '"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "cmd ='''\n",
    "file in \"{input_filename}\"\n",
    "\n",
    "def struct telescopes\n",
    "find\n",
    "list /toc tel /variable telescopes\n",
    "set source {source}*\n",
    "find\n",
    "set unit v\n",
    "set mode x {x_limits}\n",
    "set nomatch\n",
    "set weight equal\n",
    "set nocheck cal\n",
    "set mode y {y_limits}\n",
    "\n",
    "go where\n",
    "ha \"./tmp/sky_positions_{source}_per_pixel.png\" /dev png /overwrite\n",
    "for tel_nb 1 to telescopes%ntele\n",
    "   say 'telescopes%tele[tel_nb]'\n",
    "   find /tel 'telescopes%tele[tel_nb]'\n",
    "   !\n",
    "   if found.ne.0 then\n",
    "      average\n",
    "   endif\n",
    "   smooth box {smooth_box}\n",
    "   pen 'mod(tel_nb,7)'\n",
    "   if tel_nb.eq.1 then\n",
    "      pen 0\n",
    "      plot\n",
    "   else\n",
    "      spec\n",
    "   endif\n",
    "next\n",
    "!get f\n",
    "!pl\n",
    "ha \"./tmp/average_{source}_per_pixel.png\" /dev png /overwrite\n",
    "\n",
    "'''\n",
    "source=\"OMC\"\n",
    "y_limits=\"-25 20\"\n",
    "x_limits=\"-150 100\" #km/s\n",
    "smooth_box=20\n",
    "print(cmd.format(**locals()))\n",
    "output=RunClassScript(cmd.format(**locals()),display_images=False)\n",
    "show_file_content('/tmp/cmd.log', 28,with_line_numbers=False)\n",
    "DisplayImagesInColumns(output.images,image_columns=2, gallery_label=\"Left (averaged TREC per pixel, all TREC spectra )\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Datacube creation in Class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "cmd='''\n",
    "file in \"{input_filename}\"\n",
    "set tel {telescopes}\n",
    "set source {source}\n",
    "find\n",
    "\n",
    "file out \"./tmp/data/sofia_school_Tmb_base.great\" mul /overwrite\n",
    "for i 1 to found\n",
    "   get n\n",
    "   set window {window}\n",
    "   base 3\n",
    "   resample * * * {velocity_resolution} v\n",
    "   write\n",
    "next\n",
    "\n",
    "file in \"./tmp/data/sofia_school_Tmb_base.great\"\n",
    "find\n",
    "set weight e\n",
    "\n",
    "table \"{cube_name}\" new /range {cube_range} v /nocheck cal\n",
    "\n",
    "let map%beam 15.1\n",
    "let map%diam 2.5\n",
    "let map%cell '-map%beam/4' 'map%beam/4'\n",
    "let map%reso 'map%beam*1.05'\n",
    "\n",
    "xy_map \"{cube_name}\"\n",
    "\n",
    "let name \"{cube_name}\"\n",
    "let type lmv\n",
    "\n",
    "sys \"rm -rf {cube_name}.fits\"\n",
    "vector\\\\fits {cube_name}.fits from {cube_name}.lmv\n",
    "'''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing  H_cube {'telescopes': 'SOF*LFAH*', 'cube_name': './tmp/data/sofia_school_map_H'}\n",
      "processing  V_cube {'telescopes': 'SOF*LFAV*', 'cube_name': './tmp/data/sofia_school_map_V'}\n",
      "processing  HV_cube {'telescopes': 'SOF*LFA*', 'cube_name': './tmp/data/sofia_school_map'}\n"
     ]
    }
   ],
   "source": [
    "source=\"OMC*\"\n",
    "cube_range=\"-40 40\"\n",
    "window=\" -5 20\"\n",
    "telescopes = \"SOF*\"\n",
    "cube_name=\"./tmp/data/sofia_school_map\"\n",
    "velocity_resolution=0.5\n",
    "cubes = {}\n",
    "cubes[\"H_cube\"] = {\"telescopes\" : \"SOF*LFAH*\", \"cube_name\" : \"./tmp/data/sofia_school_map_H\"}\n",
    "cubes[\"V_cube\"] = {\"telescopes\" : \"SOF*LFAV*\", \"cube_name\" : \"./tmp/data/sofia_school_map_V\"}\n",
    "cubes[\"HV_cube\"] = {\"telescopes\" : \"SOF*LFA*\", \"cube_name\" : \"./tmp/data/sofia_school_map\"}\n",
    "for cube_name, params in cubes.items():\n",
    "    print(\"processing \",cube_name,params)\n",
    "    telescopes = params[\"telescopes\"]\n",
    "    cube_name = params[\"cube_name\"]\n",
    "    output=RunClassScript(cmd.format(**locals()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## H,V and both polarization comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H_cube {'telescopes': 'SOF*LFAH*', 'cube_name': './tmp/data/sofia_school_map_H'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n"
     ]
    },
    {
     "data": {
      "image/png": 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u4C9yoZ9MPUxvROm5MpmXBpea8QsHFH+j/SoeXWutB0MvHL7k8cHX/DkMimHa3q7veC6aEg8OWss2f/95tzz+pAf9Mlov8HTOHJNsGh+2L4HpxaGoQFefXL1hifxley9p/0eCx7KE4WN7joMHmjbH5/jYUr0Qhiwmdeu61Za3c4h0PcB1aw4TuxX9YvafRQ6ZLhGhRPsXDn8PrjfzlOtcKt1caF1IqNZPFlpL9nmJ69zms83JefCgz3uG9a4/R+mmxu0X8IOXtF9T+NyLQ3+NjvVNSHLEHYtu1oQQQgjRIXobtGs0mkIIIYQQK4yerAkhhBCiM5QbtHt0s3ZCklflI+hUpqRVKGHSznuNf1EtReV1Mf1Le9TBpp2wR7ombGPgNRiss8pq2GhXpmuNliKrs2K9D+vSsM1lUtFwOzDs421fz8HDzev4xTj/bnxOIuKe9LNjA42dq4fOPBx3TBl1VE97+73M+ISR176tXfL+JZsfAu0iHYNcBGN0X87KJKfd9ItsteL1bZT+ivuTmxYoxZtzOlXgXDOltEKY9mvt+fw8DHg+0nEPS1gYoBa2ztinsN4vGR/oQjlizVqE1ei4c1q2+5uKp6QXQ40hj3OfbHVQ95Xg6uHrql8sR+1zllOk1ZDOjK85xXRxvS3WU9KldHC96eD4LJ23mZxtOU1fci6ybdSC9i7i7kK3vkIIIYQQK4yerAkhhBCiU6qlXgkW89DNWkfEAQwlZRMI0yUsqIv2h50YGopr/tF4vUGvlIPVSPkUudxPm5BE2PSWH2YXW9tnZ+2CnP/jVg/K/D6XB826HOZLG8o4j2fCsjXZIEzW2+tx7uaZcJOZWTXM2JDAYcBwiZlZf4/CT3X7uhU4OtQDmj+5sMeD7cerGvhx5npxDMZnaD756eQoM5kGknGG5YK2K0gtUMO6kSI/yXLmkJWj9rIEGNqanRYyIe6kmn6zcu5sT2w9Is8DOIfYCgZDpL32kCTTv+53rMhcj6qhnyM4hzkLSC5UXpBMpFprP2DFBLKkzEkmgmMwzZyXZukYuXowFNybE2BCVQb3D+dsYjO0+LUqR3HIA68w6L2IbtaEEEII0RnRgkxxO0ajKYQQQgixwujJmhBCCCE6pZYpbqfoZg2Yq13IbtxuN4F6tmyKJvNaszDxWgW3Jems6j7pnEA/UVSkLauwDS8kKg/9uvhKPr9WH6lNJ9HglCllRoe2BOWkXa/BchLUkLDOqr/bjC1r75jehfbTxNkr0Pgklgl1exmSXuPaB6zaHraWxdJXxDqZahN0VmxPkpHFTDIpf7jvXseTsTKZQ1pv+7q5sU3qRZuPmssWn6g1jHXuKlJR6iC252BtHoLaRe5bqpeCNjdIuzjNzL2yXQvH6ab6B2hX4uthvV2ROW9xXvIcLclWB497Ncjr9nJzBMv4POEDiNc93q+ctjPXn3w6N7puUKpDadbuTXSzJoQQQojOUCL37tFoCiGEEEKsMHqyJoQQQojOiBbks9YxulkDkrQeSxDYCweBakOd91xz5RltAusYSmp/ir5rr3iU2oAmMhqVebBOZpnUVAuX8aoZeRmn4EG9HWtmBs/tNuvtH9KGvkPFI2vtjaJPF3tfJemnoE7SvqD+hj3YcvqxnFYpSeuVpL9qVhjs+gNfjNsb3XmUB7q9f24/6Tn+ZIP0SZAdK5Op56jJzDzN+cAxqJurqH+ojyx85q6EAtJNsR8hHofpOukI+VhjnTxHYN3pGnvmtfeNNVA5/Rh7Ck62wIuPUrYV0/ZGk3RTH85cH116sLweC8egHviykk7jed54N1ab47OIxnk8tzBdGWvocnOYj59LAUbXkaVSAIq7Ft2sCSGEEKJTlMi9WzSaQgghhBArjJ6sAdXa4sPBIS5Mr8KhTmcJMscOIPax4vb3wjmFVSD7iQGGRd/zlG8D0k0V5876ii9uZDq3+HIuTDU37HBSqD9og3DwgP9dcvjS7Rufe/vrfrskvNvepCvjsCONgQtrZcaOw1+5cE4xbo8L83709mnOwBSpKYQz3ciEV9lGA8M21NfyEEKJibeKX8SwEbeRzKdcJGiJKJGTBHAKIDgOZSYsbGY+xxRbLxTtIe4ppWHC0DTPOwynLpN+q79DkomDXEiSYovwe35Kl4bRxWanuf31D/sDuHat/blACRYgnI5ruslp0NDmgypq73qaBm0C4zwnHWAB6w526By61nw+uNCezs2MQqjJ+Q/WRixtYHuXTErCVSFGs0o+a52i0RRCCCHEXUkI4YdDCM+FEP4rfHc+hPD2EMK7Zv+/b/Z9CCG8IYTw7hDC74QQPgG2ee1s/XeFEF4L378qhPC7s23eEMLRE5mTtJFDN2tCCCGE6JBg9Sn9LcCPmNkT9N3fMbNfijG+0sx+abZsZvY5ZvbK2d9fM7MfMDu68TKz15nZnzSzTzKz17148zVb56thuydO0sY8dLMmhBBCiLuSGOO/N7PL9PVrzOxNs89vMrMvhO9/NB7xa2Z2LoTwkJl9tpm9PcZ4OcZ4xczebmZPzMrOxBh/LcYYzexHqa5l2sgizRpQzkk7lMO9ek2aApfOJGO1YGYWQPtmOZuPikQPpIWpho3erbfhxSbFRmNFMXn4vCvjdFM5awjGpZRiG4uMXUDuxxHbDvT2mv4lr7STlUAP0iL1d8m64wq850/DfPhSEufgIeFxBq0X67xY5+RsRzLaxZw9Cfcnq7Ock5KoAr3UlCwbUC/VJ63bmae85mnvQUinRlqqco7lhe9Qe9EymjWXBok3o2Efbzdzhi038NiypcXGc3SeYMqkvj8mMaOdYqr27GFew0a7mNOI7j3kta9F1a6F5TmLKaZQu2XmNY+9A7L1oON+eLYZhB6lA6vAMinU/hwuMvI6hlM/JRpEAK8rvavs+eEpwAZpuuUn+Hir6e+ArjFskdI7bA4SW7jgucnXvHo9k9NKnJQHY4zPzD5/2MwenH1+2MxQ5P307Lvc908f8/1J2njGMuhmTQghhBCdEe1UXzC4GEJ4EpbfGGN846IbxxhjCLnXyG6eLtrQzZoQQggh7lReiDE+vuQ2z4YQHooxPjMLQT43+/6DZoYu8o/MvvugmX0Gff8rs+8fOWb9k7SRRTdryJzsAifFPdauqI0knNF8UQ/p8GAYi6uh7AuTrWbb4mUP+HXX4LF65FCdr7geNPXw43kOxWIILHHPh225nsTKA0Nwuz4OUmNImaMctIwhlP4eOfRfP7jxeXr/tivLWXewrQY64AcK2XA9zmqAdxkP7ZwMBuUIwimbfo6UY7RT8PUc3ufnyMHFZiyH13wjaKcwz7KlhLDW6Bz7esBxpzAnW3lgKI/Detkf6TRcaH8xvEbhSloXw5vFlNz7N0DaQHOU5xOPtevPsOk8hl2P2vfrujnDVbrxWfxH+nSD5AH7cEzYgojmNx6H/o5fd3gFwuibbEHi1x2fhXG+5MtCgZY2nFGlPRvEPHBdnnvrl+E8ISlBcXXPL+PwxXabn81nfDi16tOxXmvPkIPXBj7/79QMBiueyP3nzey1Zvb62f9/Dr7/6yGEn7CjlwmuzW62ftHMvh1eKvgsM/vmGOPlEML1EMInm9k7zOwvmdn3nqSNeR3WzZoQQggh7kpCCP/Sjp6KXQwhPG1Hb3W+3sx+KoTwVWb2h2b2JbPV32Jmn2tm7zazfTP7y2Zms5uyf2hmvzFb71tjjC++tPA1dvTG6bqZvXX2Z8u2MQ/drAkhhBCiM6IFq1ckkXuM8S+0FL36mHWjmX1tSz0/bGY/fMz3T5rZRx/z/aVl28ix0s8phRBCCCHudfRkDZmTCipPzpqiPZVIUbX7FXAqoelWk08lsK6KtB2Da5DbJJOehPvjbEbMrAbdBaeCCWwfEjNlmTa57yW84p5o+kDfEhPhl19E3Qy+Ym9mtn62seeIpC3h/qANAWunStgXtivgelAfVI7atTioSTsq9IsF6NLqTN+LiZ8/dd/n41l/oaln/VK7R0I14DZohUwaJLS/QBuIo/4trr1J0yuhrYYvc/ofsm8YXhm75cMLTcUHF9vTA7H1S7VGY1K168BqZ+tBZaxPcvoov27Asio/93N2ODiWqF8zM5uQvu3g/qai8RlfT3mIdhO+LDkXYCpWlBYq1O31xML3z6UkIx1hkbHKWbvarkfe+W+23PLZd1LnYVPW9KF2cZ7NkTs36XSrMynb0sscpiRbXf3aimvW7jg0mkIIIYQQK4yerAkhhBCiM6KZ1Urk3ikaTSGEEEKIFUZP1oDYW+LelX2OUD9BGrEa6mWNQeKh4wopXQmkRam2vVBnuuHFML3dRnBTvnDd9/VC4ytWUSoT1kChliKQTiZQ31Frxror1E+VQy9ASjRsqHdjHziotjzw2pJi4qfz6FzTTu+QBUDQZpXXUuV/IMI+036VXh7lPNBKSomE+hun2TPLerIl+ijQHHK391/iK1p7ofk8Ouv7jpoa7g9q5szMyhG0SbqhxEMPt0vGuX3daS+j7SKwTfYYm2ytueWD+5vyibfbs9EANEYj0ke9h9MrwTlesc4KNatGZX65wu4lHmjN55IyJCUpyjJSJuwDbxcKPt9C67pOq0j7xdozXGZPNvQn5DlRkfddRD0i6Rh5+jhvR+p7zPR9esbPkXIfTmQ+30BzOCHPQ9a3uW35cpT1GGz3fUx0uytDsGpl+3ZnoidrQgghhBArjJ6sCSGEEKIzpFnrHt2sAfNevXZw+BIeuSdegO6tbCqksCM+HU9SwcDj+GLs3/2OZK8QMf0UpdEKsG1JYcYycHgnk5qKI8EQHgtTanOKIUBKAVRyWATq4XDOuP0VfH5OjKHP3r5vs7iy27Sx6cMeDFp7cAiwmDTjzLYHvQMOF8J+cagMxr0cseUGpa3ZaNpMw00Q+qG+rj9L4V4I03A9eCx7hzR2tNzfh1DiJlu/NG1wiCtJPwXHPZEHkN0Dnkdsg4BMh76eyaa1LscyYxORWEj4etGiJNAFAOcFrmd2jJUHtMnHBBcLDgFymqh2RyB3Tk022LrHr+tCpnPSjiG8X7l6nNUKjU85aq8nJw84rp02+FxM5DAwF/mY4PgNrucbxOsczwO0M8HQs1lqLbTCbh3iFqKbNSGEEEJ0ijRr3aLnlEIIIYQQK4yerAkhhBCiM2IM0qx1jG7WTgo/4QXdQ0F6LVzidE5JtahHIK0ZaikSTRjpk+q1RnxSn/VCnTBqRD6JXqNPopW2vplZoHRGoYc6IurfIejkKta+0ev6m42AI/ZYzwZ9LfIWIE6TxemvXrjclJX3+zKyRQlQD6cAQ/oHvj/9XS+mQr1bLuVWqEgXx7rCAjU0pEOD/hWHvv2N5/zy+EzT3/6u3y+nU6OxY8sUq5vjxVoln4LMF7HOivVSSLItVFxRyqYCxySxWiD9D7TJ9hw5AWlqrwBt0LF19hx8+mf0rYkmC+qZrvsyTlvldHwZCxBjLSD1D1N5VQOaByAS42OX6G0zusJcujK253CwMwbrCGHbfp+vOe12KqyhxeWkf3BM+tf9eVGzRRHa6pAlyXQdUpIlusE5qcXEPYFufYUQQgghVhg9WRNCCCFEp1QKg3aKbtYADill4fDTIbhcs+0Avvo9YY8EfsTdHrqrhz0oI1uIPf+Oe+8qxI0uX/P92WhiKPPCsu7Za2IPwPYcUM5hUNivJOxAr6q7evl9fOzCHKsV7y7u43NrDzahz9j3p0ESMg2Z/XKZB/KO/BiCS9rAyF3Ihz3KA4gp0aoFhLiL3QNXtvEeb3u/vtHEuMKBT7cQYa5Nz/qYG2e9wCwBHMLp70HfOOzJITc4Xqm9Q7vFRDKfYNy5zd6+Xz68COGnDV/W32nKevtstdDu9M/HBEPDSV95CkO1BUWbcdt5mRBc+JnGEsODHF7m8OrofDPfq22SPUybTvSu+Q4VYx4ELLSFSa1E2m00Al+f8LqbZHho1k3mFp23U5BFHJ7zHerBKXXtFX7w1q6R5Q1k9+B/a8oRWNyM268NZqlsRNwb6GZNCCGEEJ0RzayWdUen6DmlEEIIIcQKoydrQgghhOiQIM1ax+hmDWA7jCw53QBr1nLrTnNlnK4IRCwFpSDapHfwN5rl8oWrrsjp1FgfRaAlCGvUknXBytUkDv0AACAASURBVINtPdiGJFsP6LlSbRemUyJrjDJj5cG6jz3Qc21v+Hpo3FFXlBxL7Cttl6amgjEhzUo9gBRSczQp0aW/YY8E0I+dIQESHevJmSF83qK+QqquPTqWJLRCjc1gh3Rf++06nVyUJJEqZiwdkrIa1/MV7T3sl8fn0eqEzqmLUBH1Z+v9pNFyljJ+3elmu/UD11utx/ZCnIeZdFJm+VRLLvUT1zNn3FvrnLNfuMz6umqtvay355dzuj0G9y3Rt6EMlVKSjc+1/7M4uo+sX2Cxv3tyLdn68821vSBdc3LeSLN2T6KbNSGEEEJ0xlEid2nWukTPKYUQQgghVhg9WRNCCCFEp1R6FtQpulkDOtOs8aqQwqnu+QnM/mjoRxRI5xXQN4u8wYw0a9hOb82nT6rBXysOqB7WsIHuKwZO1eOXnaaNz9M680ic18WxnaOpc+3TeBWjdmFPHIGv2BmfjouPkdOa0XHHVDT10G/X2/eauoD9IS2VSzfFej/SJ8YB+LVxGzAG6MtnZlZteH+0w4vN8nTN96e/19TT2/f9KSmNVW+/md9cD2qQAvvpsY4ItWaJ95XRyrYQiZcbeanhvOSUSKil4nrYC6sEjR/r5Fw0iC8bLEdCbdcwtpaVlBor8UvbaC8rYOonaaty6acorFUcNMvVmu/rhPcLriP9XWuFpnoyR9xxn5MmCse2GtAxwVPRWwwe42EH53ivfV32xWNq6MOUrhVb73z+xmfWqFXnvZ50mWuiuHvQzZoQQgghOiNakGatY/ScUgghhBBihdGTNWQJe4kc/Dgel5NH9UnYEdIy0b10mFKcBih3fTi1gPBmdfGsX7m3+D26s7/g9E654QocxsrYhZA9R6gzYUcIKaftt4em0RrDzCz0IDTNYUYanxrTF3F/MEzMaWo2/OlVQrqp4qD9WM4Nc2CYhA8ljCWmnjJL92vjmWbOjM77ECmmaUqsA+h4odUJhxLHW7DPtB2HEl0I0HcnBTbFtGJJf3nKksVEzuKiPGy3fuFQ5wTCjtz3CNOg4jAjX4FxDNgOAw5fzTIMmjN1D+1v2sODk20693g8oJ7yjI8XVkY7g2UVXbsgpFxSKqoAc6agkGQSBgWSFFuEC2dy6NXNHyryWdlcH3h+Yx+WsxKhsPFD55o2WAZxh1LrWVCnaDSFEEIIIVYYPVkTQgghRGfEaFZJs9YperImhBBCCLHC6Mka4PRQyxJQu8TvfoOOiFMZsX4Mi0lLUT94vtmO+ppYghw075GXz13x697f6COS9hlM78JaKtb/ZKQWoYLCKWnEuF7U47C9A6Z3OiTbE9bJ9Rsh0XSDUlGdb3R8cd0PdKIrzLSRI6e3qTZ9m07DMub0Tu0aMfY6qDfabWLqoR+DaoA6wva+JseH5wwck5JSbGEbkbRT/MN7ut6elin5kZ7Tt2V+0bNWqO43y5xNDY9fovtK7B2geZo/qD2rB5xmjOqB8mLCus92exAW1fm0TO1l0y2/0709sq3Zh/Rlm3RQ+rDtiAaExwf2k+1CeuBIxNeQxN4Fylk/xtcKbLMaUhmMH+sIWUuJ6Z+Kc3RsQS852fRl/QO6Jo/bLwiHFyE94KFfr7+b0beKewbdrAkhhBCiU2Td0S2nFgYNIXxGCOFaCOG3Z39/D8q+LITwWyGEr5stb4QQfiGE8AchhHeGEF4P6w5DCD8ZQnh3COEdIYSPgPp/5LT2RwghhBDiNDjtJ2v/Icb4ecd8/2Vm9olm9uMhhC07eqD9nTHGXw4hDMzsl0IInxNjfKuZfZWZXYkxfmQI4cvM7B+b2Zd20bmlMhjkSFy4MayXsaKg8kBxmTACi2zu67Z/zl9BRoPievsr9kkmBg47wKP7kl8pJyuG6kzTDu8XuvInYUYedmfzQf2D/eaQFr86HyB80d+jUMJzl5v1HrrgyzIhSp4joWi3d8DwydFyMwY1jU8u9JpYiQzbw/WYtaF/ed+VTe/bcMvjs83pPzpDIZtRu6cFj0G1BhkM1qmvMPUiR3cpvFoNUUrAjbZ2JwmVoR0G2zv09qlNCMlx2LGCEGEc+M7XH/JzpITpFei86IEFyNQfgsRsBveFH0y4MeEwMdXjzil2ygEbjXDee2VM+jT3YUySpC2Q/aGkkF+SmcGFYtvD4Xy6D6+TbASypmDY3MwsZELTHKLEEGqYcmic7ZWgjDIhoGXLxg7v9OI2PyVIH3gMqvWbkOfcJo5McSWJ75JVGc0XZ240sxBj3I8x/rKZWYxxbGa/ZWaPzNZ5jZm9afb5p83s1SGEYGZjM7t2el0WQgghhLj1nPaTtU8JIfwXM/uQmX1DjPGds+9/1syeNLMfizHu4AYhhHNm9vlm9j2zrx42s6fMzGKM0xDCNTO7EGP8VTP71VPYByGEEEJkqBZN4CsW4jRv1n7LzF4eY9wNIXyumf1rM3ulmVmM8U3WPC27QQihZ2b/0szeEGN87yn2VQghhBBiJbilN2shhK81s6+eLX5ujPFDZmYxxreEEL4/hHAxxvhCpoo3mtm7Yoz/FL77oJk9amZPz27mzprZpTn9eLOZfZGZ2fnz59tXrNp1OnNBmRXVE3vtWgXWsLntShZh5YQ7frECXVNxYZvazFg/DP3ydKvRsJT0ej6nTHKaDNJZRUh/lejZ2M4Eh6QmXQqIcWKPvUOWsGy4fv3G5+K+M63bmZlNQTNS7pAODbRdvX2vayoPSSeHejueB2z3siic+gksW8I1n2OnGHo9Ut1rxEuJ3g+nyKhdo2ZmNjnTHNvDs74i1AoVE1dkZdluY5Gz6piHS+sz75SGhjjVEQ5t6JMwjiVa7hynenC/klRUmQ5mOh/7pBelK7mzwODBBP1Yf+Dn6HiD9GTj5lgnDjvTdquV3h5pskArWJB2sYRxD3TKVKQRQ10j23Gk10DYzz2+7jYfE/3YIadFa9cy4yEaXvfb9fdzGmi6zq41y2wd0svWsxjve9/7LISwB1/9bIzxK2664hai6W3QrrmlmrUY4z+LMX58jPHjzayeacsshPBJs7Zbb7JCCP/Ijm7Evo6Kft7MXjv7/OfN7N/FmEhfuR9fEWPcjDFuPvbYYyfcGyGEEOLO47HHHrMX/w2c/d2yGzVxazjNMOifN7P/OYQwNbMDM/uytpusEMIjZvYtZvYHZvZbs3u874sx/qCZ/ZCZvTmE8G4zu2xHb5IKIYQQYiXQ26Bdc2o3azHG7zOz71tw3aetJfARYzw0sy/usGtCCCGEECuLMhgAoT65NiBaxhsMUyTN8TWzshvd1/DZRq8Uru+5suqBJtVSPSC/L5Z2gOdQqHx/AvcvtGvzsL/sExbX/DRErzBOz2UTGL85mr7Yb8onW76NzY/8iKY/1D5rDl0ryfGC7ejYot7PjPzayIPNzRHeZ94vWA6kFao2GoFUOOe1iuVVr2Hbej+MzxnvxVfD2LHPE/tSTVFHtJbzi6O+0hyZgv9X8lNtCTmp8yqjKTI+S/rIzUYkNd6kisagI7rEOa08mPKK0185bVWS0oo1WXit8Ouivo1TSHE9bs6QXhPrnU78QYmUCi4Mm3Nx+8yBK9sfNDtWP7vmyspD3x9MKZXoI0GnVtC5d3iONJBbzed6SPs19W0WkCIs0UvCdaQiX7VEewra3P4O6T7hen14H5+n/rzpofaTji0eE9bX8vXoTqHW26CdoueUQgghhBArjJ6sCSGEEKIzYjSr9DZop+hmDeCwY5YknAGWEiXFpjKphEKksAw+gS84ZIrr+jam2z6MVUHKpMGUUuWsNWWJlQj3D0Je5SGFB/Z9bKFay0wnDBFmQonzwLRMgfYrZ91R0Ov3GBo+ynAGUEogF94s28O7FYV3kzYhfVgS6oR6kvRSfVoewDKHTGDbeujjemG67pZHF5s5s/MIHTvo3mDXtzHY5RRA0Ab1p8DQ1JxoDtbDVhDZiAqHlDJh0MihswGct/s0BsOmrFqnc+jD3jcC26w5gxyGNmnKJqxBqDNJNwV95/3isCikieJwKoYL6+f8fpTUv3q92XiHQq0RwsT9EYUgKeyIy2y5gceIUz1xujCXmopDvwwcE56XubKKUqaVh83n9ct+gKYbYG3ClyMOY2euT2gPUkzujjCo6BbdrAkhhBCiU/Q2aLdoNIUQQgghVhjdrAkhhBBCrDAKgyLLpPxhzQimSWGrBdSFsUYslyKJpQpojVGytqM9P0+95UUivj+tzSftsCaLc+dk02ohc9p0dh2s7UI9Vz8/fbEPiX5kPIYySg/GYwsasVyLfAw4fVEu9RFqcWqyZanWfauH9zXLJelbUO+S2FZstaeCmpBsz9spUFmdmXs5ec2cFFI5rVmdScvENhFYL28Xh7QzaO9wSNpA0IGFnp+HrKXClEkFpUwqxngOcSo6v24coIXLyQXa5QHsF/UnwD5PStZHUXo32K+atLjFPlib0DHIafMGO5RmrGy/Hi2lXeRVoZnkegSF/X1fxJqxYtKuJ8OxTXR60/ZzM2dNk9gnDe68ZyrRgtJNdcydNwuEEEIIIe4h9GRNCCGEEJ0iU9xu0ZM1IYQQQogVRk/WgKV81kjnhHob1lkFTCFVsAlTe2oh1i6VI/RrilRGbUL/ODXVSW/RE88q9v+C/SzZjwz9vzhNFIHauNBvXzfQfkXSHE4xTRJLVvqN3o794aphexorbsNpDtkXizRsdd1sy1JFHMti7MUvSfqZul2XVkHqp5qOwWRrGcEP9I3bIC8s549G2qAKshDNk7B4D60l+kdXMae3I90X+qqZmVmNx7ZdFxdJp8f9Q71S4g1WZurlMSky4iUcn0RbtvixzY1tUoZd7/FOg5Zzj4oyek3WdqGXI2vUeA4b2knSsLI2D8Frp5nXGFbeojLxRyz2Qd96dkDrwsKcQ4DXZN6vuof6P99+eUADdgfYrkUzadY6Rk/WhBBCCCFWGD1ZE0IIIUSnyBS3W3SzBnDYcRnKUfOueqDQZqwxJcmcZ9iZsFrYHzWfJ/7d+B6HZcdNTCA89ayv6JWP3PiIaanmkVhPcMgE08ZwqLPXHrrjeusBjBfvF7xGn6RlGpLFxfmmnumaK7L+7oPNdhRq5XQzGLLo8XhBWWqfQvXiK/hLpE/i/qGVRhJpwOmT1MMpgSAsQ7sVoEm2MqGsVY7EaiHjVsBwH1wZhapcZTRHioihzfb+mHlLjnrTn1MF2nwsEXLjMcA+sKUFR9XrCYTKJzRiEIpN6qEwKPYvCZlimJi2YwsOLB/T9bEetnutJHYvFUo4fFkJYdAkNRZb7sA5xvNlqXsDrJeGubczcsvh2m5Tds5P/sFeMwY7j5BshY8JpgDjayfsaElh2HLX9ye57op7At2sCSGEEKI7onzWukbPKYUQQgghVhg9WRNCCCFEZ0STz1rX6GYNCNXiYoBEv4UaH35gidYdPH9Z24XWB+TvUF3cbopIs8Z6uwjaqv7heV8G67LVAuuTcmmjeLxwXbatCCS7yLXpyuiQlGihwE4CIy8kGuw0K7B+pLfbvA4/Ou/TcU3XSGsGWq/iohdPRThG03XS/9A+Y/oZ1o/h2BUTSjc19OtONtpTCZXjCGU0QCTqQSuPwwf8fCohlVDvgI5lJpUQz+/yEMroasOao2LUvm6WjFSQ7TgC2Wic2T648fm6eT1S2Wvf0bnWIrguaMZ47Hh+hyEeW5ojsG2S0orcHVB7xm32DnCJLXb8uqjt6l/z8wenE2vU0pRNuC4dE1ycZ0uBGsgkDRqtumDciG1G6oEfhGKtOedZP4op3Pp7mfRS5i13kr4fQEqr0RxhYy5vnbhr0c2aEEIIITpFmrVukWZNCCGEEGKF0ZM1JBPyY/hBdMBH1ez0DxYTcY57v9/Qt4Iu14kjQWKvAIf2wTOt9c63EmlvIwmRYohiyu/co4U5u3ezfUATEmD3flflkEK/nBYA22A7BdiXisOeA3arB9sRbgOjsjQ+BYXgYiYcjv2r1ij8TSFT7F/OmqKctJeZmU02m8+JvQNGYti2gsI7GNJliw0MTSWWFjx9yvZ1EwsHNPrnjAEuXEhzbd+vPILsFZHGYMqpCLCMrGBcyJvHK+dyT8vFqD3E7dbjzAwcFoU2OUTa24dwPJ17FfcP9mWwR1KC/fb+cb0Yji45uwGGL+fYA+E8yGWROPqifV1/XaG+Dijcu9bIJNL9aj4PrvvO9/c5E0Gz3Nv3nXXXdpYvcJabOwBlMOgePVkTQgghhFhhdLMmhBBCCLHCKAwqhBBCiE5RGLRbdLMGLKUn423ROoO0ZjktVar7Aj0Z6yxQX0ZarpJe9+Zl1wSmSCKdFaeJyr7+TvuFqaE4TRSOLes+eD+r4WJpmXqZcT2qB1LlnPHr7r+0sWmYDtt1KNyJijRZqK1KyuiVe7TuSPRkGe1bqhWEdVmvBfNpStq3gnSE/V1Io3XIeY+O75tZqulDzRiPnbPnmCOPrIagDZxzZXI9SASk7XqkcseL4cZbTUNFz1dU7TSdLw78jmVtIliHBnqyJKUW9R1tUthSAudaotcizRracyS6VNQ1UhtotcL9rUinh2nHhtfIpoL6g4eEr4eoZ0v2iy9jJ3StQEsbM3/+Tb1zT2pnhFZHrEvNHFveT3dNZC0u6llrmkBzrnPi3kA3a0IIIYTojGhKN9U10qwJIYQQQqwwerImhBBCiE5Ruqlu0c1aR9QD0DUkXkpoVnbyVCG9a40QBb3bzMymZ32qHNRWDJ657srqLRBp9FhkRP3LnG/sgYZatIq8itBzLEm1xDoQ9PGi7uC2rMVhrQlqq1iL099txDB16XVMrPVynl+kb3P+aFTG4+M9otr7zpow1vg5fRudwaihYd8pHvfpBnzeIk0PaKcGV6kN0hE5eRv7x2U0a9mUbRkPNt62oLReATQ/NevQtn3nCzAWq0e+kbDeDGbNx/aDXugU2qesOyY5XzyGdWiYmmqeZs1ptDLjPiCt2WDPV4wef4fnaV7ifKL+9A5pPkF/+PzC+T1vfEpXb177ist8LqB+s+C5RdrOAD5nrPvE/WTNKq9bjJt6IqUHRK1wMgQDFqYq3dS9iG7WhBBCCNEdUW+Ddo00a0IIIYQQK4yerAGRw03LbLvg69Uc+uFH7vhjhNOe1Ov83j+syxYcsG3s02GGvhZjHxbi/o3Og30BpRni8XKWIH22AGkPgyZWHhDeDBRywzDJdJPTTfl1MdRYUGG538SNwjbVwz9hMDyXsWzgV/dr6nsFfeC+Ymgo2WcK03D6KUdoHzu2L0hsYwC0jejvzQm7YPor6itaQ6Qpv9qrzGQ9SigmbJEAC3RM+md8zHR62KwQDmgeuJPR14PWGGYUjuaoFVTbo3A8zzVMAcaDEFwaLV+WpKaq28twHiTnYuaYpOmv2q1W+DrSw1RLNHaY7i07t83ctYvHLgk7TjNlcC0bHviTurfj50jYb5aLsfcvwT5wqLU8bLdPmmzl/uklmxi6lp7UvuQ0Ubqp7tGTNSGEEEKIFUZP1oQQQgjRKXqy1i16siaEEEIIscLoyRpQs43FEqA+KrG0KFGT4dvo7bfrGhiXDov1Rmx1gG/Vb/l3yp1WKUn94pdRa8JaiWroBS45vQnqbVijxvYTk8324+B+rCX7TNYd4K7AbWB6l3kpbhZ9U551OolFAQzXYJfayGjfEj2k08m0p/lJrDFydg8Hob0so53ictYu4T4nWsCcMI21ndR3txnZcxhad5AGa3vD65GujpoOhyl1CFJwhYrOi/12ixu2cKjW2s+L3MOHRIOJy3OOrZtDmfRXSZtJ+rn2dVGjxWmrWCOG/eV5yXPYtZ/oWaHNEVts+G2xHV63mICNBlv+bPgTsIzt13bsO++XS5tHy9MNP7DlIfqytKfqO/pi9UVrymDQPXqyJoQQQgixwujJmhBCCCE6JerJWqfoZg1InOKXgG0R2khc98tM6JAfd8Pjen40HiY+BrB2pfEIKK76mFt18UzzedM/8q+pXnzMn1hI0GN+H2qk8AVsO+UsAOz8DSGVJPyVce9Pwqnbzcqjc+TUvtPESPm4cxgL+5A460Obics+hZswhMJtoIUCz6XEhR/DzdShPjiqD3b94E3W/bobH4ayLd6x1ibS8HNx/GdeNzmWHLaCqZjYeuTChdQmtsOb9UrfaAFjW21SdoPdphP9HTov2AoC7WbqzPzmUzpjCVJQaBHJZX8wo7nH60L3OATZIxsLDBFON/x+jc41y2uX87YwNdi78Ni547dEhC+1L2nvQ866g2UHkzP+5KzWm5O8PPCNDq82yzuP0klNlKNmbJNrO57S9G9C+m+EboKWJYTwt8zsr9rRDPtdM/vLZvaQmf2EmV0ws980s6+IMY5DCEMz+1Eze5WZXTKzL40xvn9Wzzeb2VeZWWVmfyPG+Iuz758ws+8xs9LMfjDG+PrZ948d18ZJ9kFhUCGEEELclYQQHjazv2Fmj8cYP9qObqi+zMz+sZl9d4zxI83sih3dhNns/1dm33/3bD0LIXzUbLs/bmZPmNn3hxDKEEJpZv/MzD7HzD7KzP7CbF3LtLE0ulkTQgghRKfUFk7lb0F6ZrYeQuiZ2YaZPWNmf87MfnpW/iYz+8LZ59fMlm1W/uoQQph9/xMxxlGM8X1m9m4z+6TZ37tjjO+dPTX7CTN7zWybtjaWRjdrQgghhLgriTF+0My+08w+YEc3adfsKCR5Ncb4Yhz7aTN7ePb5YTN7arbtdLb+Bfyetmn7/kKmjaWRZg1gPdkyoD6C9Rqo+WGtSS7lT/p6Pugs1vx9Nqdeqtaa5UFg/UhTxnYlSZoopxFjawzeNqMRQTnQnFxCTnPENijQh8Ryg9K9DK6DfuuaL9t4tln54H4vWpmStivRYWF/QIszXfdl/R3qH4wBa7JQb8f7weOO7fAJPN3A7cgm5tCPJVqLjM5TX1E3SLYVJZ0n7niRrYez7sikYUqW5/1gRiuIjBauJEuS5z90zq8L+9a/QufQsGlkcjYjnjTSQLHmCA4DW0gkthFwbBMNZE47Scs9tHChY4JaL9Z5JuuOa/js51MJLijcfsWZ8TDVGo0PajCTdGVsuQH9q2jsklR+OE9JI4aaMd7n8VlKO1bist+xw/uaPqy/4OcIatTMzKcAY7sS1Kzxvx/Jft4B1h2nm8j9YgjhSVh+Y4zxjS8uhBDus6OnYo+Z2VUz+1d2FMa8o9DNmhBCCCHuVF6IMT6eKf9MM3tfjPF5M7MQws+a2aea2bkQQm/25OsRM/vgbP0PmtmjZvb0LGx61o5eNHjx+xfBbY77/lKmjaVRGFQIIYQQnRJjOJW/BfiAmX1yCGFjpiN7tZn9npn9spn9+dk6rzWzn5t9/vnZss3K/12MMc6+/7IQwnD2lucrzezXzew3zOyVIYTHQggDO3oJ4edn27S1sTS6WRNCCCHEXUmM8R12JPL/LTuy7SjM7I1m9k1m9vUhhHfbkb7sh2ab/JCZXZh9//Vm9ndm9bzTzH7Kjm703mZmXxtjrGZPzf66mf2imf2+mf3UbF3LtLE0CoMC8WbSTY0z+XDabbGcP5OZ1ydwOqdi1IgrCvJVKw/bdXL1mj/MFSxXA9KosacPptEhjRqnU0LvMPZAcrqiRFvil1Hvlmr8sE7Ss1G6q/EmeJeR9gU96+alm0JdT6KPQlnMnOmT+xGI+5l4jPG60D/24kK9G49dojlcg3U5BVE8fj0z7wXGJKmWNjL6Gj62udRUPGdQs0aaOpx7ST0T0v9MmhVY3+aap3pKTvOFeiTSa5aN5eExHlrUTi6dGvrZ8RzhVEdwHEqfYcv1b5qkRGrPccV+ZL0D9JajNugcQu9APhfR2jHR8NIiXnO4P9ymmwecRgu0uXxerj9LAwZjsPfSobXB/oiBU24h1CiOe8H6ujpTz8qyWummYoyvM7PX0dfvtaM3OXndQzP74pZ6vs3Mvu2Y799iZm855vtj2zgJerImhBBCCLHC6MmaEEIIITpF6aa6RTdrwLzwk1/ZL2JYMlQ+JlBDOJNf62e7EPdaNlk44OP4YkypcQ55ZSg78GWxt9n0h8OgdH5haJHLksfzAddt9+fg0K9RCA5DHbnQYm/UXmZmVkHEAi02zMwmW3BMKJySS1+U2DJk5gyHDzHEwzYauTQ7HM7EUGeaLgjCTUnaKkpNBVnIOEWSa79qLZqVY4grkypnjmVLBbmXknRKuTBoknYINuNjSSFTrGe61X5MWGbAMgQ8TziUmEt7xKEib1tD3Vni374IxzrS+YZWGZzqbbJBUgewEhmf8R0Y7MA5TZef5LqGcygJ84XWskhzFudwErIlcPx6h+3rsnyiv8srgH0J7VcxbrY9vM9fDAa77df6xPYINuVrQ++ATsA7MSoqbhrdrAkhhBCiM6Kdqs/aPYE0a0IIIYQQK4yerAkhhBCiO2IS0RY3iW7WgHnanBxOI9Lz2gXUOSXWGLn+kCbMpbTiV9E3vPhkut4c2rVnWISBlbZbEJj5vid6DdaaQZom7ju+Vj8lPRunIcr1J1fGx89ZFtCwl4fNxtM1Si+T0azxs2hnN0H6tYrf8kdpzri9LCFndcIaw0w6Ll6ebGO6KbJT2G/KhleoDdI5oe6LbT1Qt5emm8rMvSVSkrFlg2V0X70d0mhiKig6JlOwHZlutqcHMvP2LmxfgprI3Hw2IwsXnmvYZkbDx3A9OEcmG35Hevu+g+uXURxIejbYtr/nt0v2E+d+ko6rPd1URVrT3HnC2lNXRto3HD/WrI3O+wOI4zfe5DR/7VYiPPA9sCyZkt4Or5fJ8Vri3wxx96KbNSGEEEJ0Sj03wa9YBmnWhBBCCCFWGD1ZA5ay7iDwUXXiuu/sCzgEmHNNpzI4WrGmV797/Mp9szw95z0karAMT/qaCa9wf9LwCnym0EINr/Yn4R1aduHVJPzVfMGhl8TtfKM5oBwiHV5uYqSTrQ3qD4dMIESRCX9N131n+3vtoZckFASLXCg07AAAIABJREFUHF6u2FokM87oDj/Y9eOTuuU3A19TmZuyNCm4TQz3cujXhQATC5L2+cQh0pyFS2Ld4WwifFl/h7JcnMODwhYOmAbE1xMLsu6AAeOQmwsb8znE8wmOA7vfuPGbY22Cy4k8ACxd+FgmmQcO2+e+y6TR7hyUtkPj4zNXzBkfmE8814ppxp6D2sQwLbfBoVe0CDm8wBZAzefBdW6T6s2EuDkEj0w3b+IfJnHXoJs1IYQQQnRGNJnido3CoEIIIYQQK4yerAkhhBCiQ1YrkfvdgG7WgDRF0hLbomZt0v4efaK9yb1yv8wr26w9g3YmG/4wY+ol1nLkXvOflwIIdSupBUh7GwxrPVwboEuZNz54rajWeT/bU1ol2i6nR6Iy2Ja1ZgXpUHK6HmdFwfoVtnCBY8LppjCdER9b1uLg8eS+435NaexYA+VsKxLNWnsqKt5PZ31AF/rYbz9RWGfl5iGnNqNzfJTRyfVAs5b0lecIzqGcvcucFFI4BjxflrGtcudfZA3W8e0d1x/UR/L5VoD2ja16cnOPNZCYXqkc+wE6oBROE7DK4LmWXJ9cmjhaF/rHNhqDjA0Jj5c7b+l4scUNjl+iS8XxobHsHfDFVAZm9yK6WRNCCCFEp8gUt1ukWRNCCCGEWGH0ZE0IIYQQnaK3QbtFN2snhHUXqIVJ0o6gToYfDWfmM+ttcnO/qLyuAdPGrH/Ip5vaf3S7WWANRuIRB58zKX+OVmjvH2p6uA3WQGU9tap23yferlqDdEr3+bK9R9absjO+oum6X3fRVD6sdVtG34LbJrq4jM0SjwGmDxpv+8Ly0FqXy8OMJxyN62CH0kTF9rmPfU/80Fgnl9lP9mRD0jQ/zcdyjo4QD+5k2xf1IOUWj10yh3E5o0tLUtqx9q0HmsPEaO34Oo/rT4RUazyuU7Bd5LHjOVMNmo3HZ/266DEWS98IaieZQH5ouTR/mM7JzJ+bNWnW2GYN62XdZU5nWY5pXZzD1NcenMc8f9ZeoHrhmOSuDXNhH0hxT6CbNSGEEEJ0Rox6stY10qwJIYQQQqwwerIG8GvjJyUXnktTNi3+6wNf/a6GPuxQDSnd1GazPLnPx/XiEkcdX8FPLC44vROGLPYp9dJ+exsn/QGW2INkbEjWn/PrDq438YzRWT8giXVHLgwK4Yya7SUyVjBJyC/3s4nnE4amyU4BX/vnkM3h/ZRqabtZd3y/X7ncbTq0+UHfOQ7h9lw6Lk4lhJYEfjtexhBlLpx6tDGsy7YMmXAqployMysPmoo4FdV0E0KkZ3w9nEqsdhYX7e2n6dMyqyYWIDDOfA5TvT04FxK1Al5HKEUahwsxvsrheQwXjml8iormJYSjObUSXjcSKUESJm4+V4N8SrIAfeD9KjDcTJY2B5wuDMKko/PsV9R87O3w2FnrcnKNgdOPr2MTSjeVSHBWFPmsdYuerAkhhBBCrDB6siaEEEKITrlDHgDeMejJmhBCCCHECqMna8B0ffF711Rv03zBr9HXmNoosWUgjQ/qGki74MUnZJ/AKUhgcbpBmgfQR0TSa3DqFXyt/WYkCG6/5mjf8qCGjgVAfrECiwJuc7rRfFHRPqfaF6iTND6o42FLgpxNS5JSC+0dWGTEWi+UlyXpijKDmbGb6F/1c6R/HbRcu5TSilJc1ahLY0kP6JPYqiMRU+WuRhmtV++A2sR2eE7w/N5oKipIc4TjzNqpyVb7nMnZMiQpiPhcwOXA44z15Oc+2mqw7YmzL2Hd6QbVA1Ye4/P+gKHej7djXWMBqcamGcufeSntpnD+VRs0PrSfeE1kaxrU2/Ex6NH8xvM66V/GdiRNcdV8TtKMwbzg86QcsRdMe5urhN4G7RY9WRNCCCGEWGF0syaEEEIIscIoDApwSDK/rl92IbAkZAN2CiMqoywFBn1ggWYB63LGAgtkrwAO4qldCC5QiIsf68Oj7GR0co/jE7uJJV7Px+PA9Yxxv/L1VGvwej6FB0fbzca8He+Xy75Qc6gMYzh+u6wtQ8beYV6oBcNzHJLEvmIGB7M0XNiHxBYcHsQwFrv38xxBKwa0lzDzNgRsJcL11JnTj8NqOEbJWMK6HFIabVKbcAWsSz4Xmg6xIz8vozVEYquRCX8nFg6ZUJm37mi3kDDzViN8jQkQLpye9QchFmQJBGHitZfsubLppFl3uu9jv+GQpBcTHB+yT9lvOp9mmPCL0+2mP3GDJtCEBgFkEv0d6h+cmxWFpgvKYJA9VzNh0EQqwzIAYArnajHHliWXUWVViBYUBu0YPVkTQgghhFhh9GRNCCGEEJ1yBzwAvKPQkzUhhBBCiBVGT9aQJX4KJCk/nC6lXSPGGqNqbfH75WIC9iCkmckdycGOF/yMz/Rb1rSs3USSLoj0GiiNyaXcYliDceJfZPw6PI4J6WTYXsFVk8s6RrqTAhqtSPPE44MpdxILFxifqc8OthTY90QjQwOLmja0aDmqqPnIYzXYY9sYaIJ0n5XTj7Huy9eLui+eEyGj90k0kNBf1mtOt/y65nRgdN7iOT5nUuK+cH+c/Q3rLGleuhRKfA7BupFTmyU2Nk1DyVwDHdrFR6+6sivXvQdHPGg2rklU2B80O132/Ekz6vtJU49gUGjdCjwtkmsnp5Rab06qYkh6u76vt4B2pluUUg7tlDK6waN1m8+J5hD0bmXga3u7lUiaSqy9jXrIE8FWHyVy7xw9WRNCCCGEWGH0ZE0IIYQQ3XInPAG8g9CTNSGEEEKIFUZP1gDW1GRhiUjGb8vpZjj9zaD9fplTSE3XQNiw5oUWky1fzwTSKbF2ynmOBTYH84veky27qpXggZakm8n4viX9w13j7uEwk7asJI+mAaRM4v6sX2oajaUfu2q9vX+JnC2XJopXhXp4XU5DhEQ6RqhviayLy01hToMG9YzOk/cVeKslvlPXuX/HfzbL+1DlPMeSenJZtLJaRSojrRfqnELt5wF66rFGrM54MvJ+TbYy2jfWLqEujVNKgQYr9FlASvXk5sGg2fYTHnjKFf169XK3fBWM6TbW/AlWgk6uLHx/rtNEHIVGw1ZP/LULjwFrHkPVfn0KpNPj5X6/mXwTOn4Bzrc0vRulpkLdJV1jatAj4vXG7BhNL6T2y+niWOt2cB951t0hT6ykWesWPVkTQgghhFhh9GRNCCGEEJ2SfborlkY3ayeFn/BCnCaxbHBhInr9fc+vjOEVtvVI7EKwLEltAuEUTo0FIdtIaZgqWnaWBLlw0zHlvqy9MBkvfMWdQ4CwOKVwZS40lbRZt4emkrRIEAbhccYwpEs5Zmno1YUv+HhBeIW34w66NpMQd/N5uubLNp5t92Xh8E5vrylbu+I7m8wDtMqguebD376MQ16u3jlzra39ozaxUl9WDSkcBlYQ1YAndPs5VJPVCfYhZ4OSpmGjY4uhT7Km6MEy2maYmYXENgLSqVV+4GsY6D5N6I2hnwiTs82Ov/SMj39jPRWFkDksuttrBmVvz0/MymBwyaIlks1HMQDrjiKvO3DlSQpAWG9C522Scg/LKNR5cPx6R4VUjQt1Ul/xnE8sW1q7I+4hdLMmhBBCiM6IJs1a10izJoQQQgixwujJmhBCCCG6I1peFyOWRjdrHYHzsqi8qgBTTLFtRd1n3Q5o38i6AzU0/Pp2f8/rNwbXmuX+ddKhnGv0I/g6+VGb7bqrRHOUpM7B9+pJiwOylIpsKhKN1knP8YxGhHVN00yaL06DhHquJE0V6lk4AxBr1kALwzqUZchZhOBr/+OzvkNnPuCXBzBnKrKCwTHg9vr7/osAA83pgvBYJ2nFWEeEtixse8DjDocvNx48zjXZYWBKouqcP/D1IdjfkB6R9xNThFVrNPdxVZokbCUSNpo+FKTXGgybCbVJNhr90g/Ytf2mQ4n7Rd1+gj267dNPPbTZ6NT+6Pazruxsb//G5/9y/VFXNq7PuuUCDu6Q+j4pmoNUkb6Opa4uxVVJWkqaT8N+s+5hJoaU6BH53MzMS7zm7D/s+7P+Yd9ofy9TT2z5fNyyuCdRGFQIIYQQYoXRkzUhhBBCdIqsO7pFN2tAqE4+uzCEk4Tq8Vl+YkmwuKVFhHXZYmOy7h+SxrJ5tr/eo1f3cxkMuA/wZD+x2KCzsRqCQ/cSmQdybXIMAMvKEZWx5QaErtCR38xscL3dsoGzCXgbFNoxGFq+OHGYOOs8DtXmQq1z64Gy8pCc0M9zm035dNMXlWBJMC8rAY4PhvzN5s0JOn7T9vOEQ1W5zBE47sl21Ilq1KwQRnQOga0Huv6bmcVnyXshY8+Boc/E7obCslvbzUQt6ED3INTJ1hgMhkXZ1qOGMOhmb+TKXhj7ifDM3pkbn8fU+ZdtXLnxecjaAQJtPjiEGyG8y8qPg5E/GdcGzbqDnp+Io0nmn7OMRCLS+LAlUM6+aLIN0hS+XtPcc/IPziYCXZ93fRT3JrpZE0IIIUS36Mlap0izJoQQQgixwujJmhBCCCE6JMgUt2N0swawjcYyFGMUZbXrmhK4SfeaOGlWDhpRxHTTCyICpy8BWciU9Gyoj0heU6f+oGVC75D6Q5qxUSNvSXRVaGdSUSOJrgi7w/oNrHeO3s6ldGKrk91GiDI6x+/us50JVMN2JbgpH+fMsXXzxby2K9G+UL24bi5V1mDHl7GsCI99b8+X9Q5AizNHQ4O6y1wKsFy6tKMVmo85jZoZpe5Zb9cu1lTPxqN+UM5uNOK8569su7LJXjP54/7il8rkeG2g8JNW7rH9RLNCMvWhbFplThoz64Oei68jVWg6+Mjgiis7II+U/WkjtHpwzY9dDTvToxxNrLfDpQHZjEwhVVU19fvVJ10a6tR6pNure+yHAe1zWq9MarrpBlsvge6yxxe2Zpk1onyv4mxk6OBi+qkkPeC0va9zzylx16CbNSGEEEJ0i+4jO0WaNSGEEEKIFUZP1oQQQgjRHVGJ3LtGN2sAp4JaCmcktni9ge2J0G9r6Ler6vYHob1DSgGEuh3ycnO+QaSP4POraJeBJF5v6A8WKdVSzHnNle31MP39ds8q3k+sh/Va6FmX6KOW0Ri6SvPropYpSWkF4zXYaU/VZeZTG7H2xenLMu2b+WObeKdBfzi9VAJq8ZL5DMeL5xodL9zPZN0k1RloIIekMRrDsaXtBj3fQezB5ob3HNtBLdUOexUaLeO8bNc1pUImSls1bZ98mIoJUymZmRWk39rZ2WiaoDYKSNP0nsP7XdkLoy23PIADen7ghY0lTL737l9s7beZ2eawEdFu9r3P2hQO0qD0B35v7Ad6DY4fp9hiDdtar5nEzw/PubIadGh8HSlHNC97mWtOv12zxtfO5FqPZXgu8nWEp4SbTrohulfQzZoQQgghukWatU6RZk0IIYQQYoXRkzWAQyY5Fk35kxQlYUfOwdO+Ldp1lBT2LMhGA0NMa5d92GG83YQWqmH+MTqmEpqbKgvGj8NYAaIZuRRbZhQ+4LFEG42kP37ZhdUobLX/QGNJMF2jsAfbc+C2ma4n6WV4DKB/HBp36crmzBEMp+TmLKfjOjzvV55AxKsi6xe0Nli7mj9euG4S5cM5wWFzSuuF48yhzWQ/0eaDUjZVGIak7Xb3h74aGPiKOr+x2aR+mgx8DKu65MOFOC8LslpwZ2riaUN9B+uKULTbeuxXAyrz1U728YSjgwI2Fr996RFXdO3ATwRM4bQ78WP3Mec+dOPzmCZ7zaHXzAWzDyd8n2KHXO+ZYXNMzvR9Drn9qT/J0SIkrPt6KxwTtivKhBbjhq8n9JtjNDlD233QH6Pebs6CAxYy6dPuLBSi7ZKVnQYhhEdDCL8cQvi9EMI7Qwh/c/b9d4QQ/iCE8DshhP8rhHBu9v1nhBB+5LZ2WgghhBCiY1b2Zs3Mpmb2v8YYP8rMPtnMvjaE8FFm9nYz++gY48ea2f9nZt98G/sohBBCCCae0t89wsrerMUYn4kx/tbs846Z/b6ZPRxj/LcxxhdjEr9mZi8+xx+b2bXT76kQQgghxK3jjtCshRA+wsz+hJm9g4r+ipn9pJlZjPFXzexXb6adZbQBydvVmFanjq0r8+vbkXQ7bl0SoqBVRhi0p/UxM5tsNDuT00CxxoilJfhKeVIPW0GANI7rcdtyG7mUKcm6uNC+mZm3kRhc8xVtfqixaahf7rU4k23SsKG+JWPPkVgAeKmg68+8FE453LhzaiOQ7Uw3qDBjyzJeo7kG9gVT0jVy37E80b6BNi+13/DLFfShYj3bOum3UOvFVhlVux5pfc17yqyBBcaVK2RbAeue2fT6qMvDTbeMKYEi6dCcZixn62Fep1aTXgv1dTwNY0U7Om4GN0lXBP15fsfvx2TsJzFqz57f8+v+xvTlzXZkK8Q2Q1jPQfDaMrTg6NHk4nowNRXr27b6ftszveYcH6774z7KXXL67efNcMvbu6wPm3qvPXXWb8faM6dZ9WUlVsuHK2NlJO4dVv5mLYSwZWY/Y2ZfF2O8Dt9/ix2FSn/8dvVNCCGEEMdwD4UoT4OVDYOamYUQ+nZ0o/bjMcafhe+/0sw+z8y+PMb5mWxDCG8OIeyFEPbe97733bL+CiGEEKvG+973Pnvx38DZ35tvd5/Ecqzsk7UQQjCzHzKz348xfhd8/4SZ/W0z+zMxxv1F6ooxfoWZfYWZ2eOPP37L7/cTqwW4n0yc4qe55/HkzA6hqaKisNXA33dHeD2/GPt1vWVC3rZiDCHBtO9+GcOAHCrLOesnoc66vQz7N10n93dariC6ObrPl43PNrEF3o5tRzC8mwuDRj6bRrQM+5U4GTjrB1/EYTUMeQXKFIH2INMNX9Y7oJAbhMf6FOrsHUB/6Ljz+GTD0Znx4VAnhkFrtu7YpMwDMCaBxqfebY5tse8n9OGI7B16zc6VPcoCAn1HCwszs3qNQ53QH7LKKEZNH+oeWT+wbQRYdyRzDYuojVj5/cRjy2FQXB7ReNSZDAqHlE1gPG3GZHRIsTqa4D0YW7YLGkNKjor2Y3PNawnQAqSgAdrs+XXvH+zc+Hx+22dfuFa2tzke+WPNY+373hyUOKBQPYVTY8aSyGVboTYKklNkbaNaeOyxx+zSpUub89fsiGipxkbcFCt7s2Zmn2pHN1i/G0L47dl3f9fM3mBmQzN7+9H9nP1ajPF/uj1dFEIIIYS4tazszVqM8T/a8b/Z33LafRFCCCHE4swXKIllWGnNmhBCCCHEvc7KPlm7HSylBUjenYePpOmpC3iNnmw9OG0U9iFU7Y0k9iBc77ipd/D8gSs7eASkC3P0Y2g/kdhNnDDlFreZpNxi6wNcF35eFKzXSjR0UA/p0kZnQUfEaaFythqZnzes6UvGFh0lpny8ms/9Pd8BTs+FUpC0r+gl4ktSu4CmD+UBH5TmI6fj6h3SqgtKU9iCoNog3eUW6Me2/cHtkdYLUy/VpDnC4x7JKoP1ScNeM2le8ZLnXdmoai6PnIaJ63Vp0Hj+oqUE6cfiODehSLcH+xwPydZj4uspDvGaQ/XisT1gIWH7wazXfRv3bzeasKf37/PrUn+msC81acBQpxdpMm2te+EnatZ6JKYc0gXhbK+RNGPqKTOzARz3rU0vCrtKx3oMdibJpQqO9fmHvM3n1f3zbrm302xc0rULr0GJ3vdOfUJ1p/Z7RdGTNSGEEEKIFWahm7UQwptezME5W74vhPDDt65bQgghhLhjieF0/u4RFn2y9rExxqsvLsQYr9hRRgEhhBBCCHELWVSzVoQQ7pvdpFkI4fwS294xZD3P5uB0akkKJ9Sa0XYFrZzrAurSaLt6SBqRtWa5HHlDqxrSVs1PN9Xed6ZA/y/WXWQ8hjjdlPMZ4zYxc08uZ4yZFRPwEfM2S3bm/Y3wavcRr1E5II1YCT51OHZm5vYl0dBV7cuJlxpKzaiNXBq0JIUT6tloXA8vtPvQVeRr1t9r1u2Rm+Fgl8YdfLMSfR16g3Ff2a8NfKoGAz9A9221Wyo+f2XbLQfQiPEbaf0+6ZxAu7Qz9mnH7l9vJs3Dm16P9KtXvGVVHMPOkF/bYKOZGON9Eu6xXxouT9oPbmBtGWnhXGoznofQvWrPH4RiTHMftIyTaz4d1wcebPYlsj9b4kcIKcmmvk3UsLGnWUXLmLaqpglV0MVrDUwIN/telzaBVF7rPX/iVqTRPIAUYAPSTl7caObIlcN1V1bnfNfoWoHXDvY1vFO1X3es1m5FWfSG65+Y2X8OIfyr2fIXm9m33ZouCSGEEEKIF1noZi3G+KMhhCfN7M/NvvqiGOPv3bpuCSGEEOKOJNod+0RwVVkmlHnezPZijP8ihHB/COGxGOPdlWjzJiZXYtvgCqEJDmlx2AitO5KQJKSbGvkGiwm95g+phg7upzBoibEy3waHRTEkx6E7tg9x+5ard54mFNMyZUKvHHKrBy0rWnp8aghJJMeE28ykv3LhJkovxWm+cjYoaGuRHAPaz+lGewowJAm5s6VMHycbrZsLy3KKJIgeTnykzIV0EuuOQcaihRopMzGVuqYDCHYKxbqftA+e3XHLZweNrU1V+9DmtXETHt+b+snVG/iBx1ZCSeG4IcW8ALYSwVRiNR8wJw+gFFJ0rF1YbRJay0YPUaiu4tg0lJFdSdyHfz5on3k5lE07oaA2IW0Vh1M5xdXBtFmuY3uI1MysAkl2jwaoB33AOs3M9kk2gimleqWvB0OvV/d8GJTtVLB7fA71wQ4nsWzSTY+wBW/WQgivM7PHzeyPmNm/MLO+mf2YHaWEEkIIIYSYcW+9qXkaLPo26H9nZl9gZntmZjHGD5nZdnYLIYQQQghx0yx6szaOMd6IQocQNuesL4QQQgghOmBRzdpPhRD+uZmdCyF8tZn9FTP7P29dt24PWd3ZvG0zWWsxnRJbdRSTjCgr8xSZ0xUVkdNWNTqL6TCjb5mjh0A9V02zJcS8lsmvfHydRxWz9qy9U9j3ctRexm2yXmq6CeNDr+rzumg7kNPFUUabpH8l6AqdbtAsq9NjS5ly1G69gvvMViL9Xb+Mc3G6wWI86Bod9ymlHXKauswcmGvdkZlArEdCrdDmps9/dTgCXRNpwi6u+0H4mDMfuvH5Pf2LruyZ/bM3Pk9JFzcYei0c9o/3gvuOJOviuUDnRfYEY8nYYbuNjrN36fNJw7nXYLs+NYIWJWwlkliSNONXrHOqLrQrIX0m2XyMQN92UPkTtQheM/bc5MyNzzsTb8uyN25O5B6fuASmlBpN/Mnw9LVmjkzGvgzPUzOzEqZpz2cAdDq1wruMWP/gDhWt3aHdXlUWerIWY/xOM/tpM/sZO9Kt/b0Y4/feyo4JIYQQQtwsIYRzIYSfDiH8QQjh90MInxJCOB9CeHsI4V2z/983WzeEEN4QQnh3COF3QgifAPW8drb+u0IIr4XvXxVC+N3ZNm8I4egXflsbJ2Hh3KAxxrfHGL8xxvgNMca3n7RBIYQQQtzlxFP6W4zvMbO3xRj/qJl9nJn9vpn9HTP7pRjjK83sl2bLZmafY2avnP39NTP7AbMbyQBeZ2Z/0sw+ycxeBzdfP2BmXw3bPTH7vq2NpcmGQUMIO5YZjhjjmbayO5FcKHMeGOpcpo3I4TBXSNvCF2ybwaCVx/DQrzvebu7Rq+GcECBuOsekPOdWnwsxc2gRw4e8nQud8fiQtYhrg2b6eKupKPJZwPuJy4kzO7TB5vQcMs3MEewD95XnCJe7JjCcSmOXy7DAoefKbZtvPwlnupWP75tZagVTQShtMvGV8rBjGLQkK4gS7BUwhGVmtlb6Rh8bPtdsRx2c1k0fdqc+jHa52HDLRdEuZ0CbiAlZkCTnEIRtw6j9t3TgjAUUPsxZ5eA8DZRtIbIFB1TE1h0PvvRGBkK7dNV7tkz3OXbe7MuUQokuawH3lcLYGAa9dOil05eDPyYYJr16QFlKwJ6DbWIqCuniHOJTeDxq+rO+QVkSKJw5ANcYtvXpQYiUbZjKycn/XRJmIYSzZvbpZvaVZmYxxrGZjUMIrzGzz5it9iYz+xUz+yYze42Z/ehMp/9rs6dyD83WfXuM8fKs3reb2RMhhF8xszMxxl+bff+jZvaFZvbWWV3HtbE02Zu1GOP2rPF/aGbPmNmb7eh0+nIze+gkDQohhBDiLmd17jEfM7PnzexfhBA+zsx+08z+ppk9GGN8ZrbOh83swdnnh83sKdj+6dl3ue+fPuZ7y7SxNIuGQb8gxvj9McadGOP1GOMP2NEdoxBCCCHE7eJiCOFJ+PtrVN4zs08wsx+IMf4JO7Igc+FIdLu4VdxsG4verO2FEL48hFCGEIoQwpfbzHNNCCGEEOIG0Y5C6KfxZ/ZCjPFx+Hsj9eZpM3s6xviO2fJP29HN27Oz8KbN/v+iJuKDZvYobP/I7Lvc948c871l2liaRa07/gc7Euh9jx0dhv80++6uYlHd2XGgvQJreKpBe2qjgm+0cZHf3HcaI1/RZMsfyv0Hmk6wlgu1QtwfTm2Er5SzcwDbkKAWpuYUN2PU21E9VC9qqVjXhA4lJek+2EoEtW+Da37d9RcaAddkk9Jx0VnRA+1JwWmrUGvG6ZRIDxhBr8T15FwZas46BFYjrIHM2bKM7uPlZuXyoX1XNrncaHw2nvEDkrNISeYTjgm7g9AcwSw7kXRDudRCJenSAozzlNIXvUA6pwmIBZ8be5/vh9au3fj8wMCnqfrw7se75RHYNvBlBPtTUroi1kvFfjMx6gFVBDq1wBcHnj+w28l5C/OJ+zMZ+uVqDTR0pJN79gPnm4UhTeiKryPNcnXYbg9iZCVS0fHbO2zO1cD6P9rR/Umz7tWr/rjXI+gDj924PX3Z1gP+GcXZzcaD47n3XHBl25d8xb09uAay1Qpcy9iq52YspYRZjPHDIYSnQgh/JMb4/5rZq83s92Z/rzWz18/+/3OzTX7ezP56COEn7OhlgmsxxmdCCL9oZt8OLxV8lpl9c4zxcggLeqk+AAAgAElEQVThegjhk83sHWb2l8zse6Gu49pYmkUTub/fFPYUQgghxAJk0vneDv4XM/vxEMLAzN5rZn/Zjn7S/FQI4avM7A/N7Etm677FzD7XzN5tZvuzdW12U/YPzew3Zut964svG5jZ15jZj5jZuh29WPDW2fevb2ljaZZJ5O4IIXxejPHfnHR7IYQQQohbTYzxt+0ovznz6mPWjWb2tS31/LCZ/fAx3z9pZh99zPeXjmvjJCzss3YMn9hFB4QQQghxl7FaPmt3PCd+shZjfF2XHVkFqrWMcGgeoI9KdDvoP0aeWeypg/qJinRpFUirphuZlD/mPbW4DdRLse4sFu39SbQTpJdCjVaiS4MxYA0WPy7HdrjNcpTRvtG443iN7vP7OTrXTP3pBo0B9w/FVImQsL2vDI51vAlPP6QiXROOCWtfJtvt+rbJde8j1ttpBmGehgalQuzX5saSfdbIhwrTDkVOV5RJN7Xe9wZyI0hRxOmKzgwoNVVkY8GGZ0eNjeTzY+8jVlH/UKfGPl37oLPaWPM7zZqx8R5MWm4DPc8SrSmNe9F+LuLxmxzQ/pPPWrWNAlKaB+ADFylNVeD0U3hOs2YN5xNr+EhDN4I+sIdeTeOF+ja7RPMb0nHVa3R9HLdfE3cHPqXV4RDaoF1mX8P/n713j5Zku+v7fruruvs8Z+bO3Ieke6+sCwiDjI0xF0QgdngYIjDLIsQP7CBjYkNWgm1MWOYhO7FjwjIGFhgScCCSgiEkGINsK14CIQnxMkZGEgIZiYfQFdK9uq95nZnz6FfVzh+n79T3992ndnef0zPTZ873s9as6Tq7eu9du3bVqbN/3/r+UJfG912Ez1cx4htd61fFPcxcD2shhC/PlccY37ic7gghhBBCCGTelbW/YWafbWY/P93+PDP7VTs0motmpoc1IYQQQojbwLwPa10ze8ULTrxTv5AfiTF+9W3r2V0gtzQ9C2f3wClTyvbwBbeJVgy8/I1hUQ5/cb245N67SaGWLXgdP7FToL63R4mS43SpjmoOy2AjVA/bc6AdRpIqp/0cTdbJ3gFCchx+Hm+it4Gvh61OsM3EYiNjW5FYkuBnDk1ZBo68wvjkQlw8tzpDf6DlftPhAd0JsN7U0obS4UC95X4mpVYm7VFSLe1bUjqnbtEec97ojVvLRpU/0LXQ7Hup620ZLg+b0OfzBz6z3vUdbwWBYVu2lMCe7owyqZbMnG0EW2W48eGwJ52/qo9WEL4MT0SgUGIyv+F+FMieo7PZVFwdUGhz6DtUDMG6Y53j4fB5xiuEaOkyGvk2Kwp54769G2TrA2HQCdvxcPo07N+I5SdwLFt+oCdrvqJut/33AB52Iv1IcpLZqWDF3gY99cz7gsGjkDLBzOxZM3vpbeiPEEIIIYQA5l1Ze/vUEO7/nW7/ZTN72+3pkhBCCCFONTmnb7Ew85ri/q0Qwn9lh5nrzcx+OMb4r29ft4QQQgghhNli1h3vMbObMca3hRA2QgjbMcabM791imCd1SKgRUFFuirUrHEbqQZrzr9GOBMN2Y5gf0LFFiDw2jrphlJNHWywPoq1XvXRnw/7AHWyZUOORP+HfaN0RWt+X/wupp467A+KRPLWHfOekkRbxvWgCwJrA+G4Juvtli1m6Tly9cD5rLxbgbFLxfBSc5LqcyzUgw5l0ood9qfdJqKCfXk86i4LJkGvWfqKtnr+BK4VTX8PJr5DBejbCpqklw843VRx5Gczbw+y2fXts4yv3m/GK7mL9NAjhb9ImlXQRPEcwe4lmqeMbUyincSpz+mvDvyvhPJ6s12XpBHDOZPYjFAn8N5AWrwI8yCxDuJtbJ80ajVp2Jy+LLPKw/3hFIAV6l1JK1j2moEfXfdjxynlXJ10TbvUawvodMXZYS7NWgjha+ww+ekPTX/0sJn9m9vVKSGEEEKcUu6UIe4Zeolh3hcMvs7MPsfMbpiZxRh/38wevF2dEkIIIYQQh8wbBh3GGEdhuvYfQijtHnym5RDOImDoMwl/ARy6S5zH0Q2ew6kYUmIHc97XZU3w++Kr/PyaOtfjQiYj31e2uHChmMzr5km4OTOTclYnnJkBX8c/LA9Q5uvp7jffHZ1rd383m6GTdcfFffXbdSaMhdt8TpKw57yRchpXnms5CwfXxowr3Vmt0B2lhnBPte4rmmz5OFGx3cT9NjZ82PH+NW+r0YdJ/OTkQmvf+l0/Sf/EpY+5bcxg8PTgvCt7/qCx7hiS5Uc99ifFhdKS6Q12HOSOz07/iV0HlsF1k9yr2AIEo2oZe56aPVu6vuLJ/bAzz4Nx5m/9zJxBGw8zswhjkmQh2fRzJAa4OHqcSoMaggPnMLGTbFBZ/3r7fXf3AmeuANuaa34suV4MfbKVEIZ/K5IZ1MVJskLeRe65J4S7y7yz4BdDCK81s/UQwhea2b8ys//v9nVLCCGEEEKYzf+w9i12mK3gfWb235nZm83sH9yuTgkhhBDi9BLinfl3VpjXuqM2s/9z+k8IIYQQQtwhFrHucIQQ/lGM8R8tsS93nSTNSA5+dz+n8cm8QR7o9XxXDa17TrZBY5SkSCL9FtpE5LRlNANY34ZSnS7rPsgOw+lkSFNToE4ml8LK/HEnqY5gc7yVt+6oIN1U2PT7YsotTt3FYH+T1D3w1Yq1gZm/+ngM0N6lM+GT6zdxDnF/Opnz3r9CqXKgD4NzvqwAHZGzObEj0uFAuinWPOJ8mtCAhA1f0fZmIyx8cGvXlT3Uv+G2Mf3UHvkgoJXH9QPvX/KRvfvcNmrRnh1su7LndhvN2u6en1ydy+2TOLCNBcjtZt1jUE+WaF/hxKdpz9p1l2k90N4u2V+QfrNYh0lEjeLZC5RuqkPavALseljXGHL2QGzzgfcGHmfKy+SuE7rPooaVLW46ZC2E3w1Df52MBs08CD3fPqe/w3nB19RkA9qjY2bboVOjBTst/TwlnES5+O6l9UIIIYQQQhzJsVfWYox6wUAIIYQQKVpZWyrzmuJ+ZwjhXAihG0J4ewjh+RDCV97uzgkhhBBCnHXmXVn7ohjjN03zg37YzL7czH7JzP7v29WxuwHqhk5C4reV8TxL0sbAd1PtEgqkfBHrGlCv1L/hdx5tN42yJizRUqyjzqK9r4eVzVc2M53KnL5ryZtA7G8FY82pjcY+65Aj0fhlPJn8jvl6Ou3yH/fdxIONhwc92Ug6hV9lH7xIVzv2J0x8oxH0P1Xfl/G8xOuG9UioG6xJ0xMopdSFjYNbn1+yuePK7uvuWxu7Yy862h02GrbBgdezffS692Srzzd93x35evbgu5M9P9Bd1hXtt+tJce6Vw/w9BlOCVWukwYLP6RzNaGgz96Ocr5uZ14UVpZ/8Dz3cnKOnP/iAb77d0i/xWUP/vUhegEn/8F6ay6NF2zXp0qrM/SjnA9khL8dqA9KDvcibOcbLG24bfSGz138mxd5p4ay9qXknmFez9sJ0+XNm9q9ijDu5nYUQQgghxHKY95n934UQfsfMDszsvw8hPGBmgxnfEUIIIcRZJJv6RSzKvD5r3xJC+E4z24kxViGEPTN79e3t2p0nlyZq5nchnJikGcJRTlIQUYokWHPnUCIuo/Pr5dzm4FJT73jTHxi+Rs9tJG1228sSYNk7Cd25VEv5sKc7Fr7eYd9iwK/qt6fK6l/zZVvPNHGk/Ut+fEbnqZ7McTsrgYxFwmE9cG45VJY55mS82jMbubkWfQTQDh72sTOX+mjTl1WQ1meywbYevl60PmD7FAw/xb4fyF7Pt3m+1/z916M4302qeAID9uyut9y4ubvetL/rw5d7ZB/yfNnYc1x+7hx1vvkYKA1Td6d9rrE9B6aU6nAYnU4g2r8kIfdcdqfMvSu5hPBa5BRklEIq7sE8oIv6mTFWRG1korJ8XD7FHlmH7Pv+OHscDu9ymxDKn1CqM3fdJrIDuifjdcthWai2uuEvuMTmB79Gkhu8tychZD7vCi+eSeZ6WAshdM3sK83sz0zzg/6imf0ft7FfQgghhDit6KFyqcwbBv3nZtY1sx+cbr9m+rO/eTs6JYQQQgghDpn3Ye0zYoyfCts/H0L4zdvRISGEEEII0TDvw1oVQvj4GOMfmJmFED7OEvOIe4CTLNvO+V5tTstlZlaDuqMTfYf6O6BroNHvkOVGb6+pZ7TZLvTMvWJv5vUSnJYpcnoX1EuxbQTq2di+hNss28ucXqr9Tf3DYug7W3WMNsG+ZNZVgBox2hetM6q+7wCn3HHpZmh8UGvGr+rntHDJMcN3x1t5G4TOGPrzjNfbYL0V6X3sGrWJc4TsJqp1EBaxHqnwoqMBpH66OfYatZ3xutvenzT9vfyM15qF/WbAuqR5Gtf+OC8Pm3071/3A93bAloF0euuXyQpmA8aWdXvweaYtC2jIcvrsWRZAmOssOe+gwapJR2ikzYswpzmdE6aJqst2TRjDfcd7WTFgCxn6MrbDtkesWYMxYNuYVMnXMPYSSAtwIiYX/IW7eV9jN7N3xVt1cBqrMdyHeXx6mNKKLZJO6W9aWXcsl3kf1v6emb0jhPCh6fbLzOyrb0uPhBBCCCHELeb1Wfv3ZvZDdvhH4tXp5/9wuzolhBBCiFNMvEP/zgjzrqz9qJndMLNvm27/VTP7MTP7i7ejU3eNE9jCOGf9nB0GPR6zG7zLYMCvuGfc+7meYogWIL7RyVomLMrbmSX4JPsC7Ju6uB/92ewIx24qR9g2Yl6S8CW67pN9Si5UlZxbtBIZ5uvB4yrYgR6tH7r5evAkJVkKMlYixR5lIoDQC4deMYTbv+rL1q77QcAxmWz4vrtttqmofH+u7Dex6ooOenfkw5eDUTOYnV3f+S6EL7u7vs26S4N50GxjFgIzH/rkecfj3t0HW52xrwcjrzy3Z4a8sSyT5cLIkgQtMAJfpy6dQD6rRAfCoiVlMMAw9v6B73gsOZwJ1xv1tUC5AGViGW9TWDYXW6MyDIPmMgZMtvxx1T3qO2x2L3h70e31Znuw6U/u4EVkeQPXX0lzDSUSyVyrztATiWhl3oe1T4kxvgK23xFCeP/t6JAQQgghTjFKN7V05g2DvieE8FkvbIQQXmlm77o9XRJCCCGEEC8w78rap5vZr4YQPjLdfqmZ/W4I4X1mFmOMf+K29E4IIYQQpw+trC2VeR/WXnVbe7EicJqRxb7bfM5prhLdDumTcOk4krbDWTawzmuDhVbNx/51r8mInUZfkthxZPRRMy++jKYGdVgVpUFiXDqsTHqeZJmd00LFls/mNX6sDQyxfUxOku7Oad/IlgVTEqHe0Mzr6w63m8+5lDaJZUOSE6j5OLngByFca+ZI/7r/2qTPmqzMoDgxnt9vPPS3nx3QsI0mXgN1cOAnzQRSHbH+pwBZUWKDQHoylwaJr02w4GAt2SadoxHM70R3lrkushYciS1LPHo/8/PHzOvvMhnbZup0q4PmHFV0Yys3QfSYeJBQ//C65Wsa03pxCin+DZUZn0D3y36/6d/+tq+ohmuj2MoISM2sC1q9+8/tubILa411R6QxeJ7m+6Roxo91cQHmPrnLJOdWnE3mzQ36h7e7I0IIIYS4R9DK2lKZV7MmhBBCCCHuAvOGQYUQQggh5kJvgy4XPawhJ5AGoNYi9UCCzwtMYPb/wjZYFzehFDexAxqxfqYe1syw71PGPy7R30F6FWx/Frn0U0ktWMZ6JNa7YN9ZluLGwLfCmjqnt+E2wtGfzVIvtZxHHNZbDKiM0jSh/q8zzqTRobsln2v03yp3fGHvelNPOfAHzTpH1NDxuUTPsUgdiENKBbXZDBjrfyYDmpgj8Kw6IG0ejDt6yZmZ9Xb8vsP7cSL4shLkSQXVw1pBrzX1ZW58WLOW286lpktOO6U6G2euP+hPIH80HNekWqpyYnAT4v5kjouvW/SES/wQz/mBLvrNlzsF+76RZq3bfHe07uvB+bW9deDKtte82dtGt7lwX7xxw5Xd32uM/P7D4DFXVnZ9/8br4DUX/LhPIBVVoLkWamnWhMKgQgghhBArjR7WhBBCCCFWGIVBgSpnuTEDtn9ohcIF5bDdTiEXliXnhyTVEcYvOOyA4RQMXR5ucz3tfeDCnCVHLkycCxsnNghw3NzXat3vWq83jY4p5dZou/nuZIOa4KsCw2oc7oGx5ZBbug12IRRGq+GE8pyoMyFcbqNaa75bUHiwf43azITnuhAC5JB7qH3/yn2sk0LuzpLAfy85f2VzsicT6hDZFzgLjkx4nsPWpY942Qjr5TA2hK27u77viYVLRt7g5vCMiJa7TjJzPxsipXIegw7Mi2JAIW0KuU82mu16gwezPYQcqZ4KduXrFCUKSciP7Tngvra25id/l8Ki6xAGrdjaCHho+6bb7lE9W2UTFn1xf8e3CTf+P3rhOVc2oXvONWtuNGMO8282A4Sp3sxSCYdjlXVhq9y3U4hW1oQQQgghVhg9rAkhhBBCrDAKgwohhBBieSiR+9LRwxpykjekc/YO2ARL1KjNDqZemZB+ZB30P2zDwNoO0Dmw9cIY9Rt8zJzGCvRKrNfKWWUkOjQkl9KKv0ttYJqtbBvm0y0l484aH4TbzNx0nK1HktKqfbvcp3RTsFmMqCKyyphk7B2w72wV0vGOBNbbadoZnSPNEUrCyNqku+8HKEI5ayBd6hzOkUYDFvfhwFjXmPlqtcEDnznvyVwDbSel50JN32Tdl403qR6cT9T3CWi0cunBzLy+NDlm1Nd18ho63Jc1q6hzZM1jJM0h6jfr8/68b55vPGYGlA6s3vcXWAE6rMk6zX13TVNZ6dtEO4yNnu/8WukHFy031rt+X0y99uC616ztjv0k7sAkerDnrTu6MLifuPaMKxvW/tfrH4RLtz7vFF64dwAWKjXfb7p66hF6WBNCCCHEstEz5lKRZk0IIYQQYoXRyhrA4YKFvot/RXC4sDr6s1ne8oOtDUZbGAbx+9bs/A3hy+5Nv3POST9rCTDr0T60fObdODzI1gIQsVjonLAtym7TCXauX7sKr8pTf9DWw4xCnWyDgmNC56BD4cwCwpBJeA5DyAvYOzDotN+74RsZb1IoD8KXw4tsx9GUrV/xZRwGxYwKbL2Ax5z8pU0HWmTGgI/ZjR+XZUKJowsUPoRz1nue7RSafQcP+u/xfMJj4zbRsiQkcVi/6WxZaF6iXQ9nCEmcRDC8S+cE6y0oNB72aRu+W5d+gu8ZhPIo80ExoEwIGHpli6SMJUmnS2HQsjm5NY1loIvqYr85mP1Juy/TVulviDdGPkTZgZPykq73v7lUNBkMrlc+Nt6hSYvhVDwOMzPrNfvGQDfa0yr+OqXdXlW0siaEEEIIscJoZU0IIYQQSyPY6V0QXFW0siaEEEIIscJoZW1JOPkE61CcrUcmvZR5jdhkjVPBNJ+7e/6L/QHpkzZAa0LWDzX0gbUvqbUBfI/tQjIWHLxvp2U/bsPM63YSfRa2QTIU1u3hd7ms6rULw9jOwPWnYs0TjjN9j/WJk/Y/NdEeI7EvqFgz1lqNm0/lgIrokDH1Es+RAr5bUPortpSpM9Ydbixn/KVdrUEbVJbMA2d1wimu4HNip0LzHQST2L6ZT9fVoXRuHTonFabuormP456zIDHzlhsxETbCfhnd4uEOmaI5Uz+Z+RRyfL3ZuLlwOwf+Ik6vIRxLX+b0miWN68BfuBOw7ijWfEXrpW/0Yq/JmTaJ264M9W49EgeWGSHxmHLRDWIzKF0avBHddMZVMzEKOredftNmJLuSkOS4OyWc0m6vKlpZE0IIIYRYYbSyJoQQQojloQwGS0cra0IIIYQQK4xW1oBZqWByxFwKoIyPUKJvwUxQGb1Wqotp91JiDRSnznFNsFwj99cReyLl/NEWqCcHjg/rYrie0fnmc13yGECdudRT5nWGLGeJYH6V6pqookxqqiTFFLbPuqYx9qf9e1XX96e758uxzVC1D0Jd5k9Qgf0ZsyYMNmbptWC+J6nEMmnROH1RgemmDsyX0XYED7QJpa0qQdeU+Ouxlxqm5GK/P9S+5TwOzawGzV+norGEucYaTKYYzt93R+bexdcb6tlYC8htet2nL3P3Kpo/FW3XoH1j3dda4Tu4BSZyl23L1wMHyn5tHaq3hsl4deLr2YMT9kn9j7myEV1T40n7NVYUzQAFSi+11ucb3SlBK2tLRStrQgghhBArjFbWhBBCCLFctLK2VPSwBiS2GguAFhhJiAJDCWwd0J4F5YhGmo8cmqr67X3n8Jez4yCrhcSeA8MX7CSQC4NSCNeFtTLhr6RNDqdkThGHzjC8mYQknZ0CnRM6fxMIJ5b7ZGORsVPI9SfyWML8Kckqg8cZbUcihe5DZo7Ewm8PLjbbE7JwwK8mx8GpjjBF0ji27ltziC2XdojbzKWb4moydjNJ6BzrzaSJ4uu2e0AWE872g8Jq46M/H90mFPG5hZ25LCslYPsSTMc1Y1zR/iXu+pOCVh4c3k3sVKC/ocqHTJERTX68bspOezonM7MxXHDrFCIdwyQZ0g07CadCOqoB3RwqmNQPdLynTq/wB1bF9hBuXTf96Zb+5J5f9x48fJzibKAwqBBCCCHECqOVNSGEEEIsFS0ALhetrAkhhBBCrDBaWUMWsJBIvoq6HdKTxKz+Z/7+YL2sr+NUMFW/+TJaWJgtlgIo+9cRp4nKaE+ydgHJzlAn6wgxhVSXNVl+13K/Kd/+Q1/P+Q81r/XvvcTniTq4nw4sc47wuBb5S5I1dDUcdIdsPDgVlNe+saCt+W5B+jGcE2Ze0zbZ4s5j+itfElkLl7ObgeMKdbuOyczrwmoazJzFTS69GzM+x6m8mja7O+2TlFOJcZvgEpH0Fd1VEhsNnmqg/UrSO+G+GZ0n10uSzHw6LtYcFu1jUoKGjdOMcX9yOrkiZ2fCxwXarkCdZw0bWnIcVH4wR3V76qcLXe/vch/kd3ugvOnKtjuNnuxte5/syp4/8DYfeK12inYxLtp4mKVptPi4V5ZT0s3TglbWhBBCCCFWGK2sCSGEEGJ5RNPK2pLRwxpQZ5b8Z+HsJjgUBOuXSThwATdxDlG4XWlVvQRrAQ5RuONkawOOOuJ3OdxEbU42oB4KbTiXcpp1iXVH5iLHejoT7pAfsPFmUz6435f1dpu41mQtf97T0F4LM/ZDi5C4QCijGPqKMXRXUYh0stZMtvEmdY/Cxnj+Omy1gOHmxAKE6i3b98UwduJcz5EgPLd0LivKQJELq2NZ0sa+/+LwfshgsOnbWLsCYasb7e2Z5TNQoOyAz0FiLYL9ZVuPsr0sN5t4rFyINGNpY+av6fE2ZYqAzAxJ2JNtR7AdiufgGPDcCgvoJzqZUdid+JvgcNIMZo8myd7knNueQKc+vv+sK7tZN54tL+lec2UlDUoiWQA6EMJlW5+9McfgxVlED2tCCCGEWCqnRVp3WpBmTQghhBBihdHKmhBCCCGWi1bWlooe1oC5tUkzyMkseGmYNStuX9J91OvtFReUoqgD22grYGY22oY6SRvE/QuQ6STRtyQpk+Bz5riYWfW27suWBKybGaNGzJeNYSxZs1axRMRpDtu1XUxOn5haUYTWsrrjF8BzGjv8Llt+sObR6dKS1E+gi1ujsh3et7U7LtVZtcYpmjJjmbGBYRJdWuacdEl71hk1Y5uMO4zJrPROqEvj8z7ZwDRRpPtiCxc8Z5m0bEl6OYqRdG+C3o5SXKGeNJBAKtkXj4vaGJ9vvsu2J4lmFeoZb/uynN43p+2sarouqIOYlulg4ic4atb6hT+5JZ3ATbiBrnU4bVVTzyf1vJ6tT2mjxuNmgg0Gvj/VbrNdb1J/tn2+wFNj3SGWih7WhBBCCLFU9Ey5XKRZE0IIIYRYYbSyJoQQQojlopW1paKHNSDx7cqReCBl0vPgNqdoyunkWPvC2iFsn/ybJqDJWrvqG0HZBWtW6mRGoJdSu+bpcLtdb+P2I/0Pp5tBjzj2a8J6E11colnDOqmNQVPReJu8r0izhn1gbZdb6mcNH+vS8FhI+4ZzhL3K+NyON9vHmT3sXD1U7wjspMb3efFUZ7/p0IT0SAf3+QPD8eL2cQwmpLlEDy8zGoPeAr5q7NvVbb5bk39cb5c0Y4OmHH3DuN4JedYlnofw1TozD1kTxn1311RG89ipqK+cwgl0qny9ueuY2uju++Nah3tH/5rv7MEDcM/jeZfpO2tU8ZiT8aATX8Nx7438xXij62+QB/1mYhZ0syrA14xTUbE/Wh9uABc6+65sDEaVG3RgE9bUjZp9I6deGzf71mP/vWHlrzdOjyXOBnpYE0IIIcTyUAaDpSPNmhBCCCHECqOVNWSBbFMclsHQQocqctFBfuOew3z4PQ7zYSiBQy0USsS/agb3+WdyDAHOSiHlwn68dE9fLiDUyHYKOF4cZuTjnDvDDPedBjdCWi22nyghhVPgkBKlHXNRIw5x5/q3QCoxNz4UrkxSSkE4kdMcoU3EwQO+rHejPW1U9zrZHoDtSXK+KBRc9dvHeQLzcpadC4Y+2T6lXmvXC3QGvu/BhS/9GOw/ROe2bOotaOJ1b0IbGdsTM39O+PwVA2slvY+0t+FChCxB4Ioz9WAUbXiewsQ3WRbRlA8vts+fXEor3k6kH6Hls5mFIZ2vSVNRh/btUHhwHDutZSWEQWvq/CSzhvFgsdta9rHKx/VvDP3FUEMY1MaZ623ky24e+HowNZU4O+hhTQghhBBLI9hCax9iDhQGFUIIIYRYYbSyJoQQQojlohcMlooe1oBF0k3xEi/KHhLNFWqe+BX7UfuMDqR9QT1ZYnexz3ot+Mz6kYxGJKeliqRVimVmoTuTKidJL8VtYsokHh7Yrvq+yFlamFm13uzMOrThdtMIaq7MjhgvOG62XnDHNePm5NJxZeZIaudAehtwD2DNI6bnKUjvM7jUnlqoPGg/lzzOfL5Qpza8QPMQhEWsTUzTT4HlBlt3bLbnn6oK0iwyvioAACAASURBVJOBBrGu2ueEmVm11V5vH3R8XZ/xJzlHmAKM7W9K0KxN1n1ZokeEsUzmYS41Hd+7MjETtPVgPR2nU4udZrz4unX9m6VZQwsXsmzBevk46m3faHe9mbQl5eoqScuFFhesS+vABfdg3+vQ9kgwOYQTeiPyxQB9pYPGlFaHP2jKy11/Mv1x+7K9Ha9ZC4ovHosQQmFm7zKzp2KMXxpCeMzMfsLMLpnZu83sNTHGUQihb2Y/amafbmZXzOwvxxg/PK3jW83sb9hhQry/E2N8y/TnrzKz77PDk/e6GON3TH9+ZBvH6b/CoEIIIYRYKiHemX8L8PVm9gHY/qdm9r0xxk8ws2t2+BBm0/+vTX/+vdP9LITwCjP7CjP7Y2b2KjP7wRBCMX0I/AEz+2Ize4WZ/ZXpvrk2FkYPa0IIIYS4ZwkhPGJmf87MXjfdDmb2+Wb2U9Nd/oWZfdn086un2zYt/4Lp/q82s5+IMQ5jjE+Y2QfN7DOn/z4YY/zQdNXsJ8zs1TPaWJiVDYOGEB61w6XIh+wwSPTDMcbvg/JvNLPvNrMHYoyXQwh/3cxeFmP8R3ehu+4Jny0kcN2awwNVN7OmTUUufEHh0+QvDFhWT17Hh7DehEKAbNOwSIYFF6ah8JzLDkHv3Cf2BdXRn838cUYqY7sQ9z22SME22U6FQp057YULbXJZJsScHDN+popqDk3BVVtl7F3QesIsH85E13/uYBL6zdmycIYHdKen9pMw6CbYqWz4E7a5NXTbAQYp0IBNJs2gjEf+FldNyDIBwnwVXZvjzeYHvR1fxtlOcIw4XDmG7AdJmDEJDTefk3mA4V7+M5v27WHWCa4HhiQJO2YydOSuoSRbB/1mcfZFXAZtYtjVzCz0KAzabbbZyb+kibkN8edIF9ywav/V98pzH3LbL+lea/pKN/AuDMr12sd3JzShMEsBZ8vAMDtn+hiWvq88RivLanXzn5nZN5nZ9nT7kpldj/FWXpknzezh6eeHzeyjZmYxxkkIYWe6/8Nm9mtQJ37no/TzV85oY2FWeWVtYmbfGGN8hZl9lpl93QtLi9MHuS8ys4/cxf4JIYQQ4u5yfwjhXfDva7EwhPClZvZcjPHdd6l/S2FlV9ZijE+b2dPTzzdDCB+ww6fS99thHPmbzOzfwlcOzKzdsVAIIYQQd4Y7t7J2Ocb4eKb8c8zsz4cQvsTM1szsnB2+DHAhhFBOV74eMbOnpvs/ZWaPmtmTIYTSzM7b4YsGL/z8BfA7R/38SqaNhVnllbVbhBBeZmafZmbvDCG82g7f5vhN3CfG+C9jjN99F7onhBBCiBUkxvitMcZHYowvs8MXBH4+xvjfmNk7zOwvTHf7KmsWf9403bZp+c/HGOP0518RQuhP3/J8uZn9RzP7dTN7eQjhsRBCb9rGm6bfaWtjYVZ2Ze0FQghbZvbTZvZ37TA0+lo7DIEunSS90wI4+UTGtmJmKiWXdsgXFcP2P1US2wrQB7GeBLVv6Sv3GTEVkdNkJTow1LuwGCczXjlYS8Upt4r9pkNrV30j555o9CydiRdT7Xf83zBOl5ZJo8NlCaj/ye22wKv5Oa0i23p0b/qKR+ebLw8f8HqfzkFzMP0r7eNh5jVHdd+fvMl6M/kSOw6al2G96fDahj+Z929574wiky5oAJYJg64XYbG+bX/QiDRHV71gE4/rgNJUdUiPhG4PfN2ibQyfW9637oPdjBEZ6xeeB3j9J2mZMinu+D4y2m5PO4b1sMVOkn4KxrLq0zzA4yrzyzEo+esWGZGqme3BdV1nrriDys+RV6z5xY+HIcXUU9WWK1sDzdoPfvTzXNn1Z7fddhfuR8m9C7Y7fL/ep+vvNFh3LP6m5t3gm83sJ0II/6uZ/YaZvX7689eb2Y+FED5oZlft8OHLYoy/HUL4STuM7k3M7OtiPFROhxD+lpm9xQ6tO94QY/ztGW0szEo/rIUQunb4oPbjMcY3hhD+uJk9Zma/efiihT1iZu8JIXxmjPGZTD0/ZmZfbmZ28eLF299xIYQQYkV44oknLISAf/G8Mcb4mrvWobtEjPEXzOwXpp8/ZIdvcvI+AzP7iy3f/3Yz+/Yjfv5mM3vzET8/so3jsLIPa9PXXl9vZh+IMX6PmVmM8X1m9iDs82EzezzGeDlX13RSvsbM7PHHH1/9530hhBBiSTz22GN25cqVzdl7LhH9pl0qq6xZ+xw7fMD6/BDCe6f/vuRud0oIIYQQ4k6ysitrMcZfsby0x6aCweW1WZxADJDkRZoP1me5VEvkeVSDJxvr1zjdlNOlZfQkrBtK9DawPUsr4XzgxuSXlEs3xZq1ePRn7gOPXXnA6YuanYcXyLvoUjO4NaXNYj1J7rhRb8OanlwKHvaEwzI+Zvb0KvdxEPy+eJz7L/LfW3+WhU7NdqCJgJ5auTlq5v3S4npNZc2BsZdbveb37YKn1lrPn4RzfZ8XqQeCqRFNWkw7xP5arG978HyjR3qW973RLER0blBaKPLCcn6JGQ+0xI+Mrz9ME1fwRDi6TjMztnbkNFZIgHRlfC0OSSUy3gI/O5oHLv3dIH9zwPvIZNNX1BnBPJyQD93YD+YEfPJGZDLI8wB1apOaUkHBd58feh3aT139DLfdhQO9PvZeapul9/9Dwsi3id5qiX8kXG8FVdm9cRpEaimnQLN2qljllTUhhBBCiDOPHtaEEEIIIVaYlQ2D3g3CMUOZTJJSxuUS4kb5y1DEoTJIRTMrJInhFba0wHBdNSPdFL6ez6/8J+HMTJlLIUV/InB4hcN+CIaqk5RbSXi12be7x2WtTVig9guMyGVSbE3yUfsZQX2slL6WCYuyjUaAvD6c1qdaz3SNz0HVbjPA87s4gM87PjRV7jb7jr2TgVnJcbXmuApKqdOjybdRNpP6T24+6co+Orjv1ucP2yVXxmmGXrp99dZnDqs9e6m54CL5KXSebE8BlthxgJwhCevz+cM5nAmjc4gUzzu3w/0ZXGyfiGyrkZMkVBvtF1ExpP6gfdGmv1DrohnbQCHAzprftyiaisZ0vjjU2YELaXfo7XkG42ZQ+mQB8uv7L3XbXQirX1g7cGUf3m3ixsOJH2i23Cjhq4mEA2QsiaXNqfDqOAKFQZeKVtaEEEIIIVYYrawJIYQQYqnoBYPlopU1IYQQQogVRitrQE6DNQunM8jmEvKbiVUG2mpwWh/UoVEOmQnpkVAftHa5Pb1LkhaK9EnBpS/yO7OGzdkXECGiBQDpWWjcsQ+JjhA0ddwfTpWFf9n1bpD9xV7TaNXndEpk5QHtsGVDnbF7SdJmZfSIztpkhq6JrUbaYK0iS1/G201DbKuBFgo8J9g2BvVtPPdR11T3+cBoLEGDhJoiM7P9CfuiQBs0QBe6jTjoZdtXXNnO2F8oD/Qa644P1C9yZZ3t5sAnG36yj3fW3DbaLSQWFwusMBRwzmq6TmqYQJGGI5LGD1OJ8Tzogo5w4p0okr52d9rtJkYXoH3WR3ba7zmB9HZOf0d2Rb2eH/cSNGsd6uyY8gVeHjXWKzf3vWZtPGw6zPYubIOCNjIbXT+YV/eaAdzZ8YNZ0njhvZ6te/C64XNwkt9Ld41o0qwtGa2sCSGEEEKsMFpZE0IIIcRy0craUtHDGpCzjLCQDz3hW+R1zqWcX8fnJl0YlJbn0SbCm247B2wzH4oZPODr6e1ASDKzHG9GkapZy/MQaeDwLoY+eXxyVh4cMs2Rhgux0JcVg6bzHXrlPrFewfPAYwBhWn7Fns8Jh43b6uF5yOFlZ8tC++I56Yz99/rXKHwJ5YMHuEOZ41ogI0Zb38zMrOIwKNh8jH1FBxMfH8MQ2D75zRxUzb5dikl+yaXfau3fRy/c57b3h009g33fRuWjan7c+bxjaJOuiyS0AZkA4mb7QHfYGoN3hdBiLjPLhOw3ktB95jcuX29Ikn2lB/Op8I1ECOtHGpGC9u1BbLFHlhsVWXdcGTRhUAx7mpnVg2Z7QGHZbtfXi2HSAc3DLsY6b/oyzurg7EsyFk5clttXnB30sCaEEEKIpRFMb4MuG2nWhBBCCCFWGK2sCSGEEGK5aGVtqehhDcgu25K4LNUV4LvpXHHzkfVaOR0T4179pu8VZK9gaH/Bei2wGahL0keRLQS+kh8nfGDsQwJtsn0BbnM6HtawgU4tsbjA8zDjZoB2JoNLpNvbbURHkzU6rkyan4LT4cB5GCfHQdvYddbp4flkO5WKtWbQHzrva1fbLRtGF8iSBMaW9TWLzEtn70L1uHpZV1X6QahDM4Bjsn7YG3nNGOqIUKNmZnYd7DkmNLl6NKH+1FqTqurqfV4I+szeuVufn51QaiPSenUyVifd3Wbf8Tm24/AUAyhjraLTEdIXE81aaN0X7TrqNd+DQDrHcq85R2k9zXcD3RvYCgbb6fX8ORhjijS6sfbI/6JXNhMzte7w82l/3MwL1KiZmYVRs2/VIT3bxNdTwfaQLGVGoGuMnD7N/JxxmjW6/vGw2ZqH08Sd1uxT4mToYU0IIYQQSyUkb8+JkyDNmhBCCCHECqOVNSGEEEIsD2UwWDp6WANyqYMSMromBstiyZoVNu6Cz1xnp2U/O8LfCsq718lLKZP2iFMJoUAiVPmrz6WUYk8t/OoM36BcOizUdiWaME5bBfsWpN9y+9H3IqfcguNKPNhyPnRJ/2B8WCaH+86Yhk77Rvuivm1th8VvpMVBTVTGPI394hjUWZX77V5zHbq+OgO3aRH6V0evQ7vZ9+mdht3m1vXk2gVXVsME6hW+81cqr0u7AEPyQHnTlb10+9qtz/3S1/MHB75/o9Bo6lLNUcanL+NZx/OnAG819C07bNPv291rb9N/MT/ZfOo3X+b0rGW7Rs3MLKw1F1m/7y+wqgL9GKfYogk+rtqN/DhF2cGwOSfhwM/9zhDnGlV04NsYd5vtuE3XP24UmXv5UdtYD/p0skcdbYuzicKgQgghhBArjFbWhBBCCLFUZIq7XPSwBpxkuRlDd1wPWkNwWTloXxvnfV04ldZEx5R+arLZHrrrQ1g0SS/DVhmwnYRsFliXxfBcJHsArgfDlxx6xbIk1RKFUMqD5vPaVX+gG880HhyDB7wtRE2WEtgmW51gKqbEYoP652w2Yntoutz3fWULBwyzFaP20Mt4PROyNbODFzXfnVBqo96o2bm7PyP8jZYtNH8oE5SDQ9OxwNCUb3Nww+d3Gnabi+Pp/jlrY43Cl0+PfMh0AO08Oz7vyh7q37j1+eWbz7myq/veT+Fap7kAJ3v+tlruNDGuJBzPJwUmQnJ95bLh8XWckTrkfolyGW5393xZ/XzTwcGLWU+RSVNFxxzxuqUUZGOyTMFaOew5GvntCZYnshGoidpkGxuXDmvLz6dOB+xLLvsbNssH0EUmse7ISHD4/Mm642yihzUhhBBCLBetrC0VadaEEEIIIVYYrawJIYQQYqlIs7Zc9LAGVL3liAES/YgrzH8X9QhJSivUWZDuq+tdB6y305SXB6SPAg1EoovJvV6eSZFy2D/QdpBmJadvW2S8snqbuv04OaXU8GIjpqp6vnOJPUdnzrsOp/UiPRlus0Ylq0NhHRFo4zpjX1jug0XCNV929Y963Vf/CsyRPd+Bcr/5zNq7qssnBT5yBjKYB4G0QZ2R3w5r7dYvcUjnCNIbXbu54crw9G2t+/xgXap4G9LE/an1D7uy391/5a3PT+xdcmXn1ny9EVJ57fb8OI+LZrsa8kXkNzHWEXh8YPzYbibJW4Xfy9jfxHVfUU39w7RaEz/MLp1b7GVyq5lZhL6jVYeZWb3f/Brq7HuN2nDN68AmRVMe6Lqsqd6IXVrgwSHVrDWfR7v0K3MX+jPLTgnJZO7jVG+cNm7W7xBxb6KHNSGEEEIsF62sLRVp1oQQQgghVhitrAHsAn5sFlmmpuhBB6wEeDm8glBeslRO2xhyW7vmGxlvgEUCWStwKBhDHcWIw1gcdsxYgqCVQC7saRQS7LSHJLmvvI3nk8OMaH+RhHdpewL7Ji7uaNmStE/jBRGnOsk40d6f7HxKMiE041PuUSoG8+E5jFRVa7QrWoAMKRzHcxbmQXeXw7vtY8ehvAoji2zvUPIJbLaHN+m4MPQ6QzhzX9HE9jY6PrT5IrDu6NMFNqKbRQ8O5tLmvisbX2xO9t7IX3BDsqbY34eQ6T7dkMbNxIjsyM8h0zmlBeVV30YaMgXboT6Fw7fhBLJVB2dGgOKayzLzux7RhQJR0cBSC6oXt9nWB8eHw5V8Lw2YOaJL48XhaNeBzHZGMsHXP/f9VIRBozRry0Yra0IIIYQQK4xW1oQQQgixXLSytlS0siaEEEIIscJoZW1ZgI6g5tQhaG1AWhJOKdWBV9yTVEvwCneH5EhsW4FauP41FmE0p73u5q0EQkZrlmiO0NKB0gU5vRY1ktU2UBnbSPiKaBMlNTRexag5mKpPohWqhzUsCEqXWPM44XRPaMuQSd3FzhgJoAPjNtEShNNmsaZueLH5PDrnT27/WvPdJEUSgZof1gZ2d5vPszQsBRx4oPnDmjXX5qRdqzQa+gvsIwcX3fbvjZscSu8dvNyVVXBSHu5fd2U3J17kV8LF0aELpYZ6hiRWHFS+f8/sNamzrm/4NgaDZt9x6XV6ccB2GE07fK+ADElWHuRTv4Wc/UUJqZZm6McwpdN4yFo8vOdZFqyX01axTg735XsVavFKGp9yn/dtPrO2EzW/xT6lraLrBs8D23HgobDWNfI1fgo0a8GkWVs2WlkTQgghhFhhtLImhBBCiOUStbS2TLSyJoQQQgixwmhlDZill8iBGhrWj3UwNRTLx6r2vz447VF5AHWSdivx/4Izu/diEsa5Hf1mh/rjPJFyvkFm2bRDrn8sEVtg3OO8bZj3LuK0TL3rjYAkkpdb1W3PE8Pjzt9FygGlmxo226xLwb4nqZYWSAE2Og96xEv+vHO9PZBhjbd8Wc6jLplrzhfPlzltTia1khlpA2nuFyythFNUUyoxvMaqm34M/uPTL3Xbbz33Sbc+/+LVT3Rlo6oZhI/fet6VHZDWbB1EkZskcjzXbXRx3SRPlOeTt5+59fn50bYruz5qTA9/9+oDrmyHUm5N9pt9WR+V+HYBdY+81Nbby9z545RsiSgTtJTkndaBFFcdSqNXJ/WmfW5rM2D/6JjxNATSPJb7fP9uPo/PkQ/lRnMx9Aesocv1df6yWWn+xNlAD2tCCCGEWCp6wWC5KAwqhBBCCLHCaGUNOcHysvsrIpOSiJe0y2H7vnXp/zRZuwaplvoUuvNv8lvvZoTPvkOjraaRWaHEtr6ZpbYjGP7ldEqTfm5wOaSbCQ1D2JFDttx3TD81uEihjkEzYGx/wbYRaMVSjNv7xil/cnDfcQhmpZty48MRQBjn0TaFfqjvaC1w7oMUlo3tbfAY1GC5UXMatHF7PTX9IBcKzqX5YgLYRHCbW2v+ghtDPPWxzSuu7DevPXzr83uuPurKehTOLNcbj5Ky68vuB/+SLh1Yn3w1XlQ2senne+dc2c268Y3o0IX7ZP+C2/7DG42nRGfQPlg13TeqdT/QsQvtlL6sWIOTTbG5JNiL3a1oXsJ106HUZokFSM65h1Newc4cfcY2ea4lVieT9rLuTbBluejb7+60W3nwPafEsGxyb6DrxE4B0WSKu2S0siaEEEIIscJoZU0IIYQQSyUXpRGLo5U1IYQQQogVRitryEli7DkhAWrWZow46iMK0rOhFQXrxTjFlUttlEnRlLwWTtsF2k/MeDt//rJ8uqnsX2ToJMIaOtLJoU4FbTPMfLqpSL4QbJmC7UzIJgL3zenZuJ4k/Q3q/Tjf1AzrjHnaM/PWL2ZmmDGJNZA4Xjx23T3SNXWahnhe9m+AzpKOa7LBmkPQEdExst0E6noCawVR40PWD1d2Nt32zqSxvKhJG3Sh3wzYqPKT6+k9ryc7D/tukFfGS7rXbn1+ZnLelXGbL+tevfX5UrHryiq4kVyksqe373Pbb7jW9G888DedUR+2+b6Vu3DZagX2TaYk66xAp5bcc0BrhumbzMyMbDXQ9ifRqPEmzJmCbDWKAdRDnZ9skH1IiWWxtYzvPzyUqHfjNnt7zc4T0vSNvYPL6bHukGZtqWhlTQghhBBihdHKmhBCCCGWinzWlotW1oQQQgghVhitrAGL/CXAugHvj9YuKmCfnlwKJ9Z2FcNG6DBZ8wIJ1jkNz7X7CCGJ/imjH0uOOaOl4noxTVOujPvAY2CgVWKdXqLtgn27e76e3jU0PfJCGa4XdYQ8R2rQzYSK9Wx+X5eaitN68bG477XXkxs7Ppfsxbf3MGyQtqt/tWkD/f3M8vOJ56HLmMQ6NE69huNMxxzouilQA7XPmkP4THe48fU1t/0H+/ff+vyhnftd2VavEY0+unndlb3/mRe57aoG3R6d+PMgFqzoZG50vb7tAky2i5S2ag30kZc6XoD4VLnjtv/Yi1926/PlA59L7GNXvG4OqYYkvILtcOD7Ph7Bdo+FX+2atWSJwJ0wKmPNGm6S71uc+IrDAfSd5xp+lS8hGgK8bsZbfC3AdXK53TeQ62UdKPuuIeUe/eA0aNaiKZH7ktHKmhBCCCHECqOVNSGEEEIsFWnWlose1oCFXonm1DkQ+uSwVciEpjq8PI9Lx7Rv92azc6Sw2ZheNy/G+Lk95JZaJPhtlyqLQ3X8Kv8QQ4L5en0jmTbJRgPTF80K4WJ/2VIidjtH7sftM0kIFz7XnLaGzm0JYezOyHe2Wss0msk+k9ie4DZHkCiUuPkxbJ/mz0H7nXayThYc8N0khAQpvziNTmJtgOOVXF9+G79KThmuD1WHKqJw3e64iXFVdAP4/Y89eOvz79UP+TbG/nxdR5uIjm/jvl5Tzybll+OUWx+eNCHLC52BK3sABug8eb90KAz68u3nb33e6vo20YZks+cHb0wWJbvDRiIwGPmLaDxqTko15lB0JjQd2sPqBdmwVCOqB+6PSZSNU1Pl0pfBNofKA80n1z7N7y46qMz6/ZF5eMHfH4mtxw099Qg9rAkhhBBi2egZc6lIsyaEEEIIscLoYU0IIYQQYoVRGBRgXVOWJE0LfMzYcfDScDFqXytmnc54q/nBeMM/Z3O6IExfVFJ6oPF2ceR+ZmYdelUe+8A2GpEGAV+PZ51cB/RKnHYoeW0ddWqcmgoOpbvrRWGdsReUDC6CLi1JTQVlSfvWCo+XsxkhzUyHNVqok+nwGIDmaejPF7/m7+uh7kDqJ+7PwYOcUgor5XpA71fyHG23Nin3WESHlVJRollrF9x1KA2Rc17IaQzZZoTsVUYw+UYTEiRhPdTZOCQbi9h08CqN5Ud6TSqobuE79FzX5xLCVFWYpsrM7GXdy00Z5Q67QDq5R3rNd7cLr307B7q5krRvexPv7/L0QZO26sbQ254gz1z16bfGFWvWYPwoTVTdb/alS8bqPotE8YKjTiQTKrQW4XbF1z8dJurUeD6hFo/TTZWkEXXXbcb6idvI/Y5YVYLpBYNlo5U1IYQQQogVRitrQgghhFgeMcoUd8noYQ1YaNk2Y6eQWCZA6Ixfy+bwZY4a9k2sKOhMoik/h+Mq+O6ELBs4pOTc+xPn+vYQZdYShA4Z7R3MzHp77RYX2GSx78OgbA1R7jdxid5uTWVNjIJd9zlE6c4fjUGVOSd2QNuZ+YUhwOSY6ZyMN5sf8Ll1fc9HL62CcE9yvmBoeXy6+xTG6rbv60I4OXmAmT9OviwylilJ6B7DbHyHG/t9MbR3c8/Hv9ARPxS+A4GsKjqQRWFEdhNPdZuMAWMK1fd6fg5jWPLyms888HyvCTW+vP+MK7tY7Lrtj+s/e+vz9WrT9xUG/qGut/wYRD+JN8vGsuRqf8OVrYM/0MHYf8/XajYpmuMuun4sq0FTFod5qxUMgwYKp3IGgwjXbcWhTbxM2G4msZ/JSFXgPlt4hxSj6LOVcN1waLMEqQNnwBlvnoaUBeJ2o4c1IYQQQiwVadaWizRrQgghhBArjFbWhBBCCLFctLK2VPSwBmRTIs2gg2LKzGvZSSqqTAqeOkmD1K5d4FfBUedwcD/nU8EvWnsZlSfjk2jz8DPbTYAmi15p5+NythGkA/P2DtQ+jSVqq9Yu+0bLJ69AGw+6MrQ2mdZ861Mx4Hxc0Lf1fF/R+oS1Xe57Y99GLBdIRQW71qQFZA0N6u8q6rvvD+vi2tvMlc3CpxnzZRxScZcbpfUqwJ6D52zd9R0aTMAOZ9/7g4S9Zh6whUTJ2ioo7pBmbf9mY4cRydJiMvJz7XeuNhqx59a9rcfF/qVbn3e2/Ql7cfe6236028zvzY4XU22AuOqT+h9zZRcpxRWW/4e9l7uy9+48cuvzA5teM8cON7v7jWhsY83nc7q+21zksSAtYM+LRFGnxlcQ2364+0pGQ5tIKenyRz1wJBubGrpbPseWNu33quReDhM6SWlH83uhtIjinkEPa0IIIYRYKtKsLRdp1oQQQgghVhitrAkhhBBieURLY+HiROhhDWC/r4XAr7LmAMUUSYqd9io7tDNqh4oReV/t8b7N5/51r/tAny729KlZU4ddn+GTlTtOp9EIpO1g3V7Gly7Cd6sNP31Zj4Tnc3C/F7+FqtGpYRqvo/rudGkj8tuClE7lID9/sO8xsGal+Vj38gve5UG7uDKAJxT7tZX7fl+cI4P7Q2sZe0IlqXtAI8b6NtaT+UK/mdW+sY4IpxP7/0EZjyT3/b61xgxvZ5OEe083/mQd0pal/YOK6dqc7LXfZmvSt10JjbfaYOy/N9ho5jB6nJmZ7fe93m4NTuCAhJ9jGMyKRqigAdoMjb6MdXGD7abe62PvwVbxjQS4f8NPRPS3q9m/jrzUOp2MsDi0t8lzJPWMbC9z83LNt999rjlHs9IVOk0v30xxztI11B+eQEwt7hn0sCaEEEKI5aKFtaUizZoQQgghxAqjlbUlEdujfN7+W0ppmwAAIABJREFUIrP8bkZhGk5NBWG91AKEtjOpnyCjjRVDCltVZPcAS/I1p7SiEGrulfJcyiYOg2L4LgmDQjSqM6TX+tkuBDrMocNQ1bAftc+WG9BM5LAxbPN4FOP2Py2TNrAPSXiQxhnGgMeyPGjq2aj8MQ+3KR0P1FNTmDHjEpO0iWFS7ium+eLx4VRrLozEYUbuTy7inLH16F3zFf/hlftufR7t+lCiyzJEp7KkVGLeisXvXOzhCSMbFI7Ar0Po/sD35xp8frK44MtGPoT77LBJTdWhNvugvXjF2lOW42PjZnxu1j5n00PdG0d+NjMb0w2qgPDlhZ4fvCf7TTqu/a6PJXa7dI3DsVTV/GsNSegeZQddsuPww251H8optRkeZkXfY/B+wKHOtjrN7IhfKKcDvQ26XLSyJoQQQgixwuhhTQghhBBihVEYVAghhBDLJbEPECdBD2vAIqlxsrDmqGgvy1aTSZHCqZU6VbuWYrxFWqVOu86KdWkFZIbJ9SfpX5IyZX79ltsmPVnE1/MDH3O7JUhBmrVit0m5U/e8YIutM1y6mQmfXKhz1K69M6MUNzTX8JjLPS+0qvq+fy4dFg1rMWg0Pj2ybNl7yOuaxluggWTNGvZnkE83hZOay0agk1tk/iTpgTJ2Kqwfy2lleH7f2G1SQYVdX9gZZy5WbsOlm2q3QZl4h4tEL4XpqMYHlJpq3Jyk4cj3tSz9gG30fUonBPVjn7zp001xaqo/HN5/6/ONidesofbtxb0dV/ZH1q667Qvd5iRdHm65sn63qWew7ud+1qqDCB0aSxhb1qHhXOPznNMVJ2miML0bnUvWZE5gHnRKniMZDVtiW3M6NWziZOhhTQghhBBLRS8YLBdp1oQQQgghVhitrAGzHKhzuEwEbE2BZbNW9SHOz2GiYtD8oKCV8O4ex42aj8Nzfh3dhys5VDf/EntieVG1l2HYiEMJ4w2yvIDwYc5GI7F3oEHJHefM89DSZlIPHEsuVGdmFiZNo53cvsm4+s52JmipTt2pcP5w+NKPT7kHfSN9SQeiaN6WIiUrH8CINoVzLHO9JWH08dH7maXhZ2fdwUUcQsIQGO1cDJrPHGpNrHMwxJ3LttD3ZZzBpBpgmJ/qgTZGFNfjoOeoD876GU+d37r0iNvGcCV/d6v0IdIuXBhjOuguHdi2NYO5V/hBWO81J3ev52+ekfrO2wiHQXm7DT5feF2Y+TAphzbRGqZ3s10iYeZD8PlQq9+uZlx/K0k0meIuGa2sCSGEEEKsMFpZE0IIIcTSCHZE/lNxIrSyJoQQQoh7khDCoyGEd4QQ3h9C+O0QwtdPf34xhPDWEMLvT/+/b/rzEEL4/hDCB0MIvxVC+FNQ11dN9//9EMJXwc8/PYTwvul3vj+EQ71FWxvHQStrQDGcvU8bTlu1yB8USRod1EC1pyRi645Ykt0E1Lv5tFe0jM43p32yxs/rmTRI1q4JM/NjkGrN2stYa4bNsMYogHAnjEjLRfuiRmqy6YUpsbN563PV92OQ07d1xr7NCmw+JqRnKUjnxGm1XH+g78l4EJ1h0wfed7zVnNvxQ17XxNou1NuMt/ncQlof0sxwGi2UJ5Wcvgy1XDNSRo222o+bv5t708zZMnC6Kep7sdvMC7ZwcKmEvGtFomtyOqP26ZzagSSH3FSUaN9ATxrZ6oE2x8PM3+HQ5q8/81JXhPoxM7ONbrP9yOZ1V/bS9caeY6ciWxgSKKKmbbNsv9FyCqlez59A1KyFWRYWMP3ZVgPT6k3WfFm55+vt7uIWC2Wbj/sv8feGtefovgJtJjpL1DXSfZWvqVPDArrg28zEzL4xxvieEMK2mb07hPBWM/vrZvb2GON3hBC+xcy+xcy+2cy+2MxePv33SjP752b2yhDCRTP7h2b2uB2e+XeHEN4UY7w23edrzOydZvZmM3uVmf3MtM6j2lgYrawJIYQQ4p4kxvh0jPE90883zewDZvawmb3azP7FdLd/YWZfNv38ajP70XjIr5nZhRDCi83svzSzt8YYr04f0N5qZq+alp2LMf5ajDGa2Y9SXUe1sTBaWRNCCCHEUllFzVoI4WVm9ml2uAL2UIzx6WnRM2b20PTzw2b2Ufjak9Of5X7+5BE/t0wbC6OVNSGEEEKcVu4PIbwL/n3tUTuFELbM7KfN7O/GGG9g2XRF7LY+XZ60Da2sAawDOy6J1gR9n0hmwd5TvpxSkoDWi/s6oXQqqGXqjLypTwDDH+4re2p1D6Ad1smxZCQ3fHhg7A3GOiLQaOS8wjoTL4oI5EdWjMDIi/V1sG9kDy9OW4U6NZaawJh0OaUVaerwWOqCjbqgiW7+byjUayWaPuzPLmn6SC9V9Zrtg4e4nma7u8fzh0806Kxo7LCvszIH4b5JKqrM3Mp5sPH1Va2xFxam+SIfOvBZSzziMinlEg82GD70bjMz61D6MmfJSHdn782V12sFTosGYP+ulduubId8zvprzeCOKz8IFdwACjpBB5U30ZvUTaMbpdfQVlDG6aW6RbshGdZpZlaW7fvunvPebqg1jTPSRCHsxVn34Jre9O3zXKvWQXNI6abQx4892HKebCvLnfVZuxxjfDy3Qwiha4cPaj8eY3zj9MfPhhBeHGN8ehrKfG7686fM7FH4+iPTnz1lZp9LP/+F6c8fOWL/XBsLo5U1IYQQQtyTTN/MfL2ZfSDG+D1Q9CYze+GNzq8ys38LP/9r07dCP8vMdqahzLeY2ReFEO6bvtX5RWb2lmnZjRDCZ03b+mtU11FtLIxW1oQQQgixRKIPKd1dPsfMXmNm7wshvHf6s9ea2XeY2U+GEP6Gmf2hmf2ladmbzexLzOyDZrZvZl9tZhZjvBpC+DYz+/Xpfv84xvjCK9H/g5n9iJmt2+FboD8z/XlbGwujh7UlkU25gyGuGeEUX2nG6oHCTWzhMNpqOjTe9K/Vc4jJldGSuzuuGddeGh6Dr7qsPvQaPeXKwbRMiT1IDT+gMKj1eXDbKa9DPOqc92WYbPrLIht6BTuFDltjZMYjEd/WmbIMHQq1FgdNIK246S0Sdj/xvNvGMGhFYfSCtpFk/rhUYlQE551tNDiU71KdJaHy9v4koWmMWtMdbnSuvZruDdreBfuS9RlhRxwT7jseN8sgqJ5iANYUPZ4H7eOT3EcyIWUMh48o51dN19DBejOAH9n3k+KjzzaWUS9+YMeVVaSRGE2aei9ueE+b4bhpo0Mposqi/WbFZRwy7UJIdf8ShUEPYGJQyHhMFjKTDfi8nenPVbpv0O1ovNV8ZpsoDL1yWbmft2kReWKMv2Ltv2m/4Ij9o5l9XUtdbzCzNxzx83eZ2acc8fMrR7VxHPSwJoQQQoilktOZisWRZk0IIYQQYoXRw5oQQgghxAqjMCjAOrBFcOlDcnqSjL6Gt3kZebyN/gC+jFM4rT/fiHy6u17wc/BQo9GKwT+vFxmrDNbQcf+c3i05rmbnyGmrjpmeK5K+plr30xl1e5xWq7vbjEHd82Wsu8LX/BOdFYxJkgKMfVo6mTLU9HEqoUxGsIJsWeq1Zkz2X+I1aoP7fEVr15uTdN/vtVuAJMfMuj1MAcR+LhktV+pj03xMUnOx3q09C1pWB8pzDXVFBy+iNFpPNRWxbiidI3gCfRnq7fh7HT7VuO/AV+TsQWbJM1GzRjpUtCRJ7FzWfMXD+6CcbD06ZdPI9X1KNzX29dSQRirSHEFLEJ4SvG8BOrQeadS2el7shRYhV9Y3XNkQ6uE2RyXNAzjuS/f5PGPXbzT1hgf8dTG+4sek2G3GoGZNKDTJFjJsw7KKZrNHclr6eUrQypoQQgghxAqjlTUhhBBCLI+Ydx0Qi6OHNWCh5eVZr85jUX30Z7Mj3Krr2FpWDMAtmxywqz6FM8FNvzPgGFLzkcOnaVgW4ym+LHHPx75TONWF0tJYh983cxpqsCjhkG1nQK/uQ/YFdqBHq5O6y2HQjPt7wX1vPs4K5+J4cegV6VAmBh5n7B9nbeiADQr3Z/2q37fcb7bZtR1tSIohtUFt1iNwoCc3+BLOwaxsGejmX/MwZyxB2J4Dr5sOXUO96+S0D5n6Jlv+uCbrTYd73pkiuW4mG+02KDhH2IIksjs9HiddtrksCYybB2zdMWm/j5T7VBFkCRhs+0ZDv+ng/q63xohVcrO49XG3028tYwrKaBAyF1mHynpw8td7fuDR5uOR8/7kPnWj3d/lj5y/6rYrmKicUeFm6Y9zst1+L8WMIcm9IblfHl+uI04velgTQgghxHKRZm2pSLMmhBBCCLHCaGVNCCGEEMtFC2tLRQ9rwNIEkRmJQZIVJlnbbPaIRbtdAOt0nHWAmQ3ub9LIVGRbkdhGADXrf9CWIaOvM/MaJM4SgzqnupPRs5lZZ9g0lFgtYOqngdehxIKFadhXX4R6JF5fzuntON0U9qcqfEXlmBrFanOpxDLnx8xrK9muBPuDusXDfX3/xpvNdjkgPRvq/6irxZ4f9xqOe0Jt8Dz1hX4T7TpYN1j7rEiO3s32dDypvYyvt7cDadkoldDwvubLW09xRX4T9aTFwJd195qyCaWtSnR8oIlkDa230aHusO6zOvqzmVkBpy/R1xFroGErhn7nvcfA0obtJZJ7YNO/8WiNCtvb3yn9Oel1G50c69D2xr5/Ndy7zq/5k9KBRnuUB+2hrV23vQYD9vFbl13ZY5tXbn1+0+//cd/GRrtWmKlvNhO8JuuQyWb798TZQQ9rQgghhFgqp8YP7pQgzZoQQgghxAqjlTUhhBBCLBetrC0VPawhJ5lbseWzed0Ma6cKSi2E+raKfKgCeKmx1oWtd7C8Jj2bW55OvmjtLGLvwxoa0G9xip3Euyygbo/2Rd0OC2OKdj1QkuYHdXJ0DlKdE/yAUy9hnaRRC7yd86xbwNvNaSBZ9wV6v5K0ZfvrPv2N85ojvy3XV9ZyZjR1PL9j5lymbTafSUZk9Qx/wnn70x2x11zTqbrg/oD+b8Ted77ectA+JkUm3RRvl3DdcFkNGtasFtAse61iaryS9HWTNfJvBBkYn5P+c83YJdZfGZ+8us/3BtTp+e8N1rwObQIp5qo6HxjqF02H2QMNPdkmZMKIGjUzs/t6B7c+Xyx9uqkOTDD2gCtIb4eps2r2ocNzS16FVcX3bxNnED2sCSGEEGJ5REv/yBMnQpo1IYQQQogVRitrS8K9Kp/5i6J3k0JjFC50oRhaKXfpeeh7nP6mrW8pM/JmYcSUQzgUxupfhzgJVVv3KQaGLZJVBtfryiBcONmmFDeUNsqdBw4XYohyhg0C/oXIfTXYLqp8fCKCxQWH3Nx+dPyxzPxNRVYidQ/CejTmSdqoUXuYj0O4bW2Y+XnB8xDnbBJxT3xs2uvp3fS7okSAxxJD3GwLU5KdCVq4jM/TGED4Ca05jgRiU5zaDK9VirCl1eTmWuZaHF7IpS+jbRhbHle0GeE2k/sRzktWMnA4HHYdUTanAuYhr8aMaZJMhs3gTg78r68982H+8BIILVI9mMaqpM7eGPn7ytN7TYef2j/vyjCcWk3ouqA2IzRTT9gvCPYr+X5I27b6BIt6G3TJaGVNCCGEEGKF0cOaEEIIIcQKs7IPayGER0MI7wghvD+E8NshhK+Hsr8dQvid6c+/c/qzzw0h/Mhd67AQQgghDonxzvw7I6yyZm1iZt8YY3xPCGHbzN4dQnirmT1kZq82s0+NMQ5DCA8uq8F57QCOAl9r72S0S6wNyvWBX9HGlFJoK2Bm1hm3t9nJtMn6KE5bhVqKWa+MoxUD9wctJZI+dNv/ZkhSL2VSCRnprLq7KADyuwbURPEFT22ixUVBaZmwrFrzl1PBxwz+Ex1+dT9DGE7aC3no8JBJz1Zk7CU6I9/Xzv7o1me2Dhnd7/Pf1GApU5PdDGrLEpsR0qVhOzk9m1lqeYM43RftNllr1wpxo1hPuc+51rhRqIY0ax2wyphsUDquTvt1zNdQomHDsty1mbESSrWctJ27lw1ai5L0YDgm5R4NHtp68G8kvk5ws85fQ7uDRnvWoQHC7XHlT9jugdesId0O6T5Rq0h9TTRrWD4ifS1q2Fg22Ds7DySinZV9WIsxPm1mT08/3wwhfMDMHjazrzGz74gxDqdlz02/MjKznbvRVyGEEEIAZ2jV606wsmFQJITwMjP7NDN7p5l9opn96RDCO0MIvxhC+Awzsxjjr8YYv769FiGEEEKI08fKrqy9QAhhy8x+2sz+bozxRgihNLOLZvZZZvYZZvaTIYSPi/Hkj/Hs0J3tF4cPnF1A+/fYtT2tuL0Iw0bcRi4MWvfan8m5P2wJ4NqgkEgS6nQhHAoXTDLh31wZgXYBHQ4PBg4p1a1lLvzL4S/qT7nXtNPZG/p6uk0IJaxTGHTX74vZD+KFtWzfXVEm/BWtve/FTd/+6EEfvsQxCGTz0cFt6huHOnEOcdYNDIcVI1eUhDInLjuFZSmGmWwQ6ATBWQl4KLEavm4hzJazk2H4uujC/Kl7Pj7INh/uGq85DNreZhI2xu8loU74QX/GcWXuqv2d9sKKIokor+DsCzgGHSobHVDYuNt+3nOxYC6pYMCqsW90OPDnCKf/gK5xDIP21vz9KHEAqppjGdOvXgyRdihEmsgXTsOClUxxl85Kr6yFELp2+KD24zHGN05//KSZvTEe8h/tcErcP6OeHwsh7IUQ9p544onb22khhBBihXjiiSfshd+B038/drf7JBZjZR/WQgjBzF5vZh+IMX4PFP0bM/u86T6faGY9M7ucqyvG+JoY42aMcfOxxx67XV0WQgghVo7HHnvMXvgdOP33mtvdZojxjvw7K6xyGPRzzOw1Zva+EMJ7pz97rZm9wczeEEL4T3b4UsFXLSMEKoQQQgixiqzsw1qM8VesXbnylbejzXJ4gme+nKUEkNOWmdGr/JRmpNxrRADcBlsAIFVGl8J/mbBuBzU/3He2sUD7B07z47apzVzfjcpQx9M5yOfu6Wz34IvUn4x1R9YGoSIhRqf9lftEh9aeccuvcbPWI6NZSyxJ8FhIrzW86C931BF1932j/SvtghOeBzUMM9tWoPVKpIHN6Tdn2cTk9Ftu2MkehK1zUB8UyHoBr4Vyl+ZaojFsv5WibU2YkB4qE9tIrovMoGTHg8syY8uaVdYnunoz2twO6RPxGqvJcgPTtPExl+d8h2qwsagTSwv/3cFBMzFDp32A+FTWlMYKx+tmz2tNA1qAjJPJ7zdzGi7YtTP03+venF8vuVJoDWWprGwYVAghhBBCrPDKmhBCCCFOI2cru8CdQCtrQgghhBArjFbWAE5/swg5zQhqHnKpn8x8yp2aBC3VOuhryGKMfc1cWc4/LuM7ZWYWyvYy9naqwZuLNWs536ycj1gC7jr0wpgw9gfaxfRP7BXWz0x91tThOTm37tscNW2yP1uqzYPzx2OJPn1JWqb2c8tzBH3o4pY3u+re9CKjEvRB5YDSTaGHHWun6E+8cq/5PFknXyw4mHKYn/vsiZYj5wfo0035wRxttwsHk1RLMATFHomw2LcPbfu67SmluD/FgCcCNLHAZbHQvQtlsUOeo9Sd3Cnh1HS5JmF6dZKbTPNxdM4XcdoqpDPOtz/Zh2uc5wsMbqf08zIMKBUUtDOo/fWP9YT+jHs7avU4jVaB/nr8xWy1q0k0rawtGa2sCSGEEEKsMFpZE0IIIcRyUQaDpaKHNeAkYVAXvshM0mot59/grQ9y1gbFAn0t99rfsec2agrhoMUFh2WydgG5JfBFop78Xj2GmzbpNfrru34bLQE4Y0vGLoSPy32X385fb+I0xd4MewccWrYLcQfGobEFBgxDtmx7wnYqbs5SOKzbPk/5nOC5Xrvsx6Bab1+8T+qBVEJZOxdLU5+5eiB8yfMwbnA9uK8vKw4w/dWM/oBtTcyE9cv9jN8FwWOQC0kWmSBJkrYKrunJhj/PbPOTO+qq117Gth4FTgu6TEbnAnymFHYs4XBWMFzmNzs323+9Ybi3pvBlLotVmPD9CPpTzLhOMQxat4/s+IIfvG7mOMTZQWFQIYQQQogVRo/sQgghhFgqZykV1J1AK2tCCCGEECuMVtaAXPqUhES/FVvL3Ndm2BM424ETCDRRn5RYSoDOIpUGcTolsB1INE+ZA+V9c/YcmbLAgwn9qdfpvf5qs70N/rMk0/dEC4N2GMnOYE0xI/1VTqdyXNiyJcK5jiVZSKz7yz33d28sURtE2qlifi1V9priFGA4PjOGKlcvppQq9r3oqTjw43VwP9ibkG3Ew78AniT1DFuGspmLbN2BdAbz32Rq0rdm7x2LrGJANQX1p+7RHEG3CUo9lbXV4O5lhg/byNoMGaUzY1klDUG53z5eqFmrarZaybSZIQxn7Ij2JWw7kjl9w4u+sH+1/bg+8O3fkO/DnUQra0tFK2tCCCGEECuMVtaEEEIIsTyiZSMmYnH0sIbcgbmVOPsnOzQfOyfoT4Fu8RnbgcQaI2OZwGGYhTIPZDh2BgMu4rAohK4qLst2KO/YTzvPX23MhMrxvHM2itycoUmCvQmVrwftJczMqs1mTEImA8bMI8x0b3wOxj2x/KB2oAscekrsJ44ZVi+Gfgwe+I2DW5+f/mzvTl/uHFgrfCyT+a63pBq2Fgnt4eccWauTGZlHELb5GUPGh8m6/2IxnLt72VBiuY/XBVtj8PjM36azXuH+4DU9f0TSqvYEBjNxWRxGx5dErFSoU9wx9LAmhBBCiCWiRO7LRpo1IYQQQogVRitrQgghhFguWllbKnpYuwO41DiL6LNmpNzJMcsi5AVqfh2/N/9ia6KtArJaDh6DRS7q494AFtD/JMzSGc4L9D3RKoFwprM7mL/KLts75OwDfJvd53Zb9iNo7Oo+6f8yU6Z7s/k83qbvUb2Y7q2mO1O5n/N+oG24bhL7kvZa7NGfvZYpzYPzPebmKE/DjHYxJxbk48oKC+l6K/caf4xZmqsSrD1ip5/Z0zNe5/tK83kR3VlC9jj9ZjFq3xX7EKhDWU0f2YGMz83vrxQqsEFS3kyxIHpYE0IIIcRy0craUpFmTQghhBBihdHKmhBCCCGWh3zWlo4e1oBfftPfc9t/+s9/1/xfzslUJvNPWvT/qVl3ltNrcBNzas9Ys+L82WZQU1qdnIbN7TdaJK+XZxHvKYQ9xxZrdL7dqo2e2y7220Uz7LdX3NiHihbQwXT4PM8/tmGQEfUAsfQ6uOqST+u1iM4x2x+4uZdkcdZZ4Bqa6WXYwuTC2tz78jysMT3XnHpRM7PuLuVXmjN0xCnkci0m+ij0cpsxudG/rVrAqrAYkT4yY1mH9G/47119xfxj2b++iL9d87kzI0scktjAVQvcj1C6PGcKKyFeQA9rQgghhFgiMZ8QViyMNGtCCCGEECuMVtYycFh0Xj7/C/7J8RutwcLhBJYRndF8f9UkaWpO8Fr9z7/9W1vLvugz/5emTbYdWITjjslJrDtOYjXQws+9839226/6pG85XkUTH/YMk5b9TgKF5jpjanNObQpHft72y3+/dd/PfdU/navOo8BQVSznP3mcaikbOufrZq25lXIkM2cFMVn3o/ILP9c+D/6LL/nO9opy8Plxh5kfH7w/sM2P39FvlgMK8895P2J+7x+034P/+Dd877HqNDN32GwTkxsSLrob6abE2UQPa0IIIYRYLrLuWCoKgwohhBBCrDBaWRNCCCHE8pB1x9LRw9qKgWmIwvj4k51f7W+F0/EsYDuwCIk2bk5STUh7yqZs+ydKcXO8L7/lN/7xCRqdkzqXhmnG+BzXBmV8fOuVeTnR+TrmHO6wHcYoIwBMrDua6yh2vA5tEV1TjnjcOEiioYO0R7PmCKbRyvqD0Cb9or4dWsrOSeqcM63XiaChDZOmoWJ4m9oU9yx6WBNCCCHEcpFmbalIsyaEEEIIscJoZe02cNyQnxmFGk5QT5l5Vf5EIabjcsxjiRRO6WDY7176yy0XzsyRC2XODHMeb/w4Q0Cc09n+rb/6P83fxglOrZvfC4R6x+d8Bore5UycjebevPYlJ6EYHG+OcN8WySBSYFaS0GvfkUN+q+6HeswMBich5Ib9HrqV3eJeuj+vAFpZE0IIIYRYYbSyJoQQQoglErWytmS0siaEEEIIscJoZe2scwL92jveeswUSQuwLNuDVee4mqfEzmEBjVYsmi/nUislfWPrjh5YVZxAZ3m3qbvH/9v1uOfvHW+b/xpaxKrGfY9TtN2Ga4qv0+Nq1o6b4u+ugcc9Y+q7MbnX72vRjq/DFUeilTUhhBBCiBVGK2tCCCGEWC7SrC0VrawJIYQQQqwwWlm7DbCW6/O+8DvueB/e9st//9bnP/unv30pdZ5Eo4YeW1/42d92/E4c86+1t//S33fbX/BnljMmb//F1y6lnlPFZH6frkW81ZZFmDdF0jLbBF0Ya8swvdMiGjXm59/+rbc+f/4X/JNj13Nc3v26/9Ftf/rf/J5mI9Gs3f5Vld/8377BbX/q3/7e294m88FvbsbkE77ze3zhknR87/8n3zB7p1VEK2tLRStrQgghhBArjB7WhBBCCCFWmBDP2FLl448/Ht/1rnfd0TYXCYMeN93UL/zsNy/Qo9UiFxZl24EwnD83zFvee4Jw613kiz9hfvuCJLXZAtYdP/u7/3Tufe82n/uq4/V1kdRvv/jmbzpWG3eDRcKgYezjb4mVR4a3/ft/MPe+q8bcYdEFQuW/+f2nMyT5+OOP27ve9a475qtzvvtA/OwL//UdaetnL//Qu2OMj9+Rxu4iWlkTQgghhFhh9IKBEEIIIZZHNItRprjLRCtrQgghhBArjDRrK8bnfhHo20hvc5p1aeL4LKJh+5kPftdt7MlqktOzndVrBjVtnRGtcGRsNU6zRu24fOrfyWvbTqtODbnjmrXygfifnfuyO9LWW669Tpo1IYQQQghxd5FmTQghhBDL5YxF7W43CoMKIYRilVVYAAAJTklEQVQQ9zB3JQy6/eo70tZbrr9eYVAhhBBCiIWI0ayu78y/OQghvCqE8LshhA+GEI6f8+0uooc1IYQQQtyThBAKM/sBM/tiM3uFmf2VEMIr7m6vFkeaNSGEEEIsl9WRWH2mmX0wxvghM7MQwk+Y2avN7P13tVcLcuYe1j784Q/b44+fPLz9xBNP2GOPPbaEHglE47p8NKa3B43r8tGYLp8nnnjCzGxlnpzuAg+b2Udh+0kze+Vd6suxOXMPa5cvX16KyDKEsHflypXNZdQlGjSuy0djenvQuC4fjenyCSHsxRjv+JjGOfVkS+D+EAK+NfjDMcYfvlON3ynO3MOaEEIIIe4ZLs94G/QpM3sUth+Z/uxUoYc1Ie593ni3O3CPonEV4kjiKmnWft3MXh5CeMwOH9K+wsz+6t3t0uLoYe2Y3I1l5bOAxnX5xBhfc7f7cC+icV0+uv6Xz1kf0xjjJITwt8zsLWZWmNkbYoy/fZe7tTBn8mEthPDX7XDp9N/d7b4IIYQQ4vYRY3yzmb35bvfjJNzzD2shhA+b2U0zq8xsArHtvxRCeJWZPRtj/LYQwpqZ/ZKZ9e1wXH4qxvgPc3VMH/o+z8wOzOxpM+ua2aeY2V+KMY6m+xRm9i4zeyrG+KUhhEfN7EfN7CE7fEPnh2OM3xdC+Ktm9rnTdl4bYxzetkG5i8wY5wtm9jo7HMNoZv+tmT1mZ2BcTsKMMX2VmX2fHf5F+boY43eclbl2UtquVSjna1vjOgchhDeY2Zea2XMxxk+Bn3+Dmf1NOxzr95nZV5vZl5vGdCZHjeld/V0TzaxemTDoPcE9/7A25fNijJfpZ2+JMf54COFfTreHZvb5McbdEELXzH4lhPAzMcZfy9TxQj3/Twjh7THGLwghvNbM/piZ/ca0/OvN7ANmdm66PTGzb4wxvieEsG1m7w4hvNXMPt7MfsvM/u09fkPKjfP3mdnPxhj/QgihZ2YbZvZn7WyMy0k4ckztUKvxA2b2hXb4uvqvhxDeZGdnrp2UI6/VGOML/kx8bWtc5+NHzOx/t8MHCTMzCyE8bGZ/x8xeEWM8CCH8pB1qix41jek8/IjRmJp+19xTnOUMBjvT/6OZWTxkd/qz7vTfPH8a3Jj+//z0/5EdrnBYCOERM/tzdrhaZNN2no4xvmf6+aYd3uwfjjF+m5n9spl9Vwjh5cc9qFWnbZxDCOfN7M+Y2eun+41ijNfPyrichMzcvWUGOV3p/Qkze7XGdD7arlWz1mtb4zoHMcZfMrOrRxSVZrYeQijt8A+1j2lM5+OoMb3rv2tifWf+nRHOwsNaNLOfCyG8O4TwtbkdQwhFCOG9Zvacmb01xvjOResg/pmZfZOZHTmjQggvM7NPM7N3Tuv9yum+VxZo49TRMs6P2eED7/8VQviNEMLrQgibZ2lcTkLLmB5lBvmwxnRx8Fqd/ii5tjWuxyfG+JSZfbeZfcQOJSU7Mcaf05guh7P6u+Ze4iyEQf/zGONTIYQHzeytIYTfiTH+yAuFMcavgM+Vmf3JqXbqX4cQPiXG+J9a6vilo+qJ/3979xZiVRXHcfz7M6KbFywjBAmNyqigC2RlFNWY+FBCFyhCo/BBIoTqqR4iMKgwKYIeDFLUNENHhBAxEaXIREoFFW9BQlpE9aBBEaT+ethrYBzOUWec5uxz5veBgc2ZfdZae3E253/W+u+17IUAknryB3ZKerBvoySNBNYCL9v+E+i4RfyaadTPVJ/FO4F5tndI+hB4zfYbrWxru2jSp83OHTaftcHQ915tdm+nXwdO0liqLYAmAceBNZJmpU8vXCu+aww4OWuDquNH1sovNmz/Bqyjmho613uOA1uBGQMtA7gPmFkeTvgceFjSCoCSV7QWWGl72K7V1KefjwHHeo1mdlMFb9EPffq0IxaDbKUm92rTezsGbBpwxPbvtv+lWsNuaovb1PbyXdM5OjpYK9Noo3qOgenAvibnXl1GJZB0GVVS9sH+lNGb7ddtT7A9kSpRdovtWZJElZd1wPb7F3yRbaZZP9v+FTgqaXI5tYs222i3VZr1Kb0WgywPbDwDfNG6lraXZvdqs3u7Rc3sFD8B90i6vPR7F1WOVQxQS79r7OSsDbJOnwa9hmpKCKpr/cz2xibnjgeWlcfxRwCrba+XdF0/yjgf9wGzgb0lxwiqx6fbeg2YfmjYz+V/84CVJbD4kerR/Ti3pn2qDlgMsoWG+736v5C0imrpiHGSjgFv2l4sqRvYRfUU426GUWrIhWrUp8Ah8vntGHJ9toSIiIiINjdaV/ruEY8MSV2bT6/e6bPvDdoROnoaNCIiIqLddfo0aERERAy1YZRPNhQyshYRERFRY8lZi4iIiEEjaSMwboiq+8P2jCGqq2USrEVERETUWKZBIyIiImoswVpEREREjSVYi4iIiKixBGsR0TYkZbmhiBh2EqxFxBkkTZR0UNJKSQckdZc9G7sk7Za0V9ISSZeU89+VtF/SHkkLG5R3kaT3JH1XzplbXpekjyQdkrRZ0gZJTzV4/1JJiyTtABZImiJpe2nLt732k42I6Ej5lRoRjUwG5tjeJmkJ8CowF+iyfVjScuBFSZ8CjwM32XbPhvJ9zAFO2L6rBHjbJG0C7ij13Ey1j+9+YEmT9kwApto+JWk0cL/tk5KmAW8DTw7alUdE1ExG1iKikaO2t5XjFUAXcMT24fLaMuAB4ATwD7BY0hPA3w3Kmg48VzaT3gFcBdxQ3r/K9inbvwBbztKeNbZPleMxwBpJ+4APgFsGepEREe0gwVpENNJ3AcbjDU+yTwJTgG7gUWBjg9MEzLN9e/mbZHtTP9vzV6/jt4Cttm8FHgMu7WdZERFtJcFaRDRyraR7y/GzwPfAREnXl9dmA19JGgmMsb0BeAW4rUFZX1JNmV4MIOlGSVcAXwNPl5y28cBD59m2McDP5fj5fl5XRETbSbAWEY0cAl6SdAAYSzXd+ALV9ONe4DSwCBgFrJe0B/iGKrcNSTMlzS9lfUKVj7arTF1+TJUvuw74ofxvObC9p3JJ8yXNbNK2BcA7knaTvNuIGAay3VREnEHSRGB9mWYcynqXlnq7h7LeiIi6y8haRERERI1lZC0iIiKixjKyFhEREVFjCdYiIiIiaizBWkRERESNJViLiIiIqLEEaxERERE1lmAtIiIiosb+A8pcCc/RiqonAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V_cube {'telescopes': 'SOF*LFAV*', 'cube_name': './tmp/data/sofia_school_map_V'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n"
     ]
    },
    {
     "data": {
      "image/png": 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lBbbxFDR0OfqX/Cv2w7P91rKJ7cCCqYSqbS/m4FRCOckEasbKcd465OCh3Gv+2S46anAhSOwAMN1UZt88KtCpLdO35BzgnOH2c3/iZSwu5ll1sEVBrt4C+ruohu+pkO3btBPHg7VUx7z+krmeG2zYNSAtWffwmO3PG57MnFkmVdVks/lfVudojq0QtMk2Orl0fZNt39ne/oIa2jn3Z7wW+P6I41d3KSXhHbqkIuuO1XKHTgMhhBBCiHsDrawJIYQQYmXEqLdBV41GUwghhBBijdHKWoaXPPD1zQbpKsoNr8Gq7ju9UJ2x8BqRmJFD1JvtpydJiZJJtcR6pJwuJvZyU4K8gSbtz/qBtHk5PQdrNHLkPJn6V7zYa3i2bC3rK823WeBhs3Zq3HxmjVhOM4a/m9efqs9eU1CUjuvwvmYsOwNqM6MFjLWvCMvy/Jls+Tns9FycKguLzvHFK1g7iLC0a0GdE48PjwHqHFm7iL+dbHBF1L3q5p+nFWGddC4LPmZM4bRESrklUq2hTo3bmGz4skVGFoYLJ09Fs4bndp4P3uhU03e+x6Rt5jSQTUN1N9/58Xazv7fX3iaPVTHO3PP6ZJ4G1bL33TLa03WilmZtpWhlTQghhBBijdHKmhBCCCFWxjSRu9aCVoke1gAX9pxDHPhXr3FJPhfymxuSDMcLg2TbWcIOYHDfRuu+cujX48tBe2qq/Wf6ejpHzW853LVMSDfmQqY0XOWoqScJY2E4dc49pXcFbCI4/AVDwqFNDukcN5yRhFfhfGJYiOE0NaWfslb1cBDaQ4A8rsNTfhBcmJaOObFFyYBh23lhNWSZsty/utt8TlJuTdr3sXwB95dH7ddFGiamkBecB77eqn77RF0mndIy95VcqBPnD6eb4rK5UCPeqzoHvNNvHp1vvugc5XNcuTYzIfh6CUskPgfdveZc87jm0lSNTnX9F5huisaqe5S5NsU9gx7WhBBCCLFC9DboqtFoCiGEEEKsMVpZE0IIIcTKUG7Q1aOHNWSZV+VJA4G6h9j1WoowBA1LTWKXRMcElglPIfMT6uYSK4EMncP2wpxyh3UXxbg5GNaIXf0rzVQ7/z6yAEl0fLAvq6Xi9FLH0+LwcfG4T7batTkBDqXL2jvSsPWvNWM7Ie0L2gOkWrf2iVBRFi/3W5Yx0VxDPRnvizAmPK6syXRjwl0dtfdntOu/wLQ+k418yp1V2RlgPck8gHHvHOUvRiyb1ayShq+o/IF0P7rX9GfLn9zBg1utfc3OfbY9Oabmic8Bpk9z+scF+uB2Yao1sr/gOYLna7TrO8TnaFFrkZy2bPrj5iPrQPGex5YbOZ3sxqVMm6RZG28urkcUdy969BVCCCGEWGO0siaEEEKIlVLptdWVooc1gEObtNNvFxSmgVfw2Z26c5Sxq8+sbRaH9Dssm7TP78pDWIYPq2xvNAlJ4r45r7ijOzyHTDBcx6+/l0MKH2bCEi7bwRx7gAlYSnB4BcMpuWM28+GeJAyCoRbKGNC9yrFFbJ/CYeB2noQkMyGuJPQT8Jj9vo3LfhCGp5uD4bGres2B8fmo6a6B20l4ErMAUDiH23ShPbbYoLkXIHbGYWOshx35uX99PEeBx6D9d0m4Fy13Ou3nK9JcC0PuPDREx1yC/c3krD8JSRgyk+ljsmWt1BOOmd68TgZtcm5ab+b/NDi23NdIvyvgGqto/qTXAnzOuHx0Bvm+49iOt6jN3aaDfIx8z8mHYtv3JS9V6hnonkQPa0IIIYRYGdGCTHFXjEZTCCGEEGKN0cqaEEIIIVZKLVPclaKHNaB66MLihUnfMjrbiLJYY1ReA/1PRdYYOQuCzOvwibaD+lNAO7FkG4RM6pXe4nq23tWR2+48sX/j89bOebdvdLqZavM0YjmcfoqroUFZlb3DoiQpdjL2CqNTNEcwFRQ7meSy6rDNR0bvV9G5xf6xJqzuoCaMtFxkF4LpphJ7ENAYcTquDun2RtuLpxJzGjHa5XSFfJ0kWsr2vvsfUvPJ3Gu+SNJCYVnWI1LKtjBqBqm44nMvoVHO0X3eNidN95RL79S6K9Fkeu0b3WNAEznPHojPfRusUZts+u3OQdNm/5ofzHTut2sgXRv9vAgMtZXJtZj7Kc+ZzO+cNJCOo/S3WWnW7lH0sCaEEEKIlaFE7qtHoymEEEIIscZoZU0IIYQQKyNakM/aitHDGhAmS4icONUR6n+S9EWYr8Ta9xF1p33hM9Gk8CbowhI9S8ZnLdHbuB/6zYKOswP15nRW7P/FnmM5vU1Oe8L1hBrqyaTcyTVnZtbZhw0angL8pTYv+ZObpOeB8WKND54v1k7ltFTsXYbHyW0UE9altWtx0LePp2jSP2iHtVyob2PfKdbi4LXAGjq+75c4h7h/0B8+ZgbbCUlKq3jTz9O++rLYv1zqJfTTMzOLdI3HjWbAwmDo9oVBM4DLaNSY3HzKHVdNnnW14djNGR88TL6PgJ6tYH3WPK2g6ytfC+3XP8L367ReqCZ33Qa+71M9bic1kvOwG/P9sb2suHvRw5oQQgghVooSua8WjaYQQgghxBqjlTWg2DtauCyHEgPkcAkZa4xlCOPM+/BdHweJnH4K9idhT4xrUbipd5niEHAsieUHV1vm0hfBxpzhwXaSMHHGSiDpH24mobz2MBr3HdPYDM6TfQGUHU78gOx8yPsVlKMm/jQ8660XMHUOh084BNfWt2lh/J3fVXAIB1OS0di5UAuHBzmcmYlNY+iTLT/GO77NzScgpMRzKwnzw2duftIevmQwZJmzhUqtOvxmAWM9SdJxNW10yvZ9ZmbV2eY+EsO237fVVMyplgq2w8HpTef24MH2udbxbiEuVO2uYXO3Bisqmj8091yKKzqXHbjtFhTy4zmM52t42p+w3r4vjDYkHFZ37XPKLwLnBc8RlEFwiDSWfE7a5TB4b+ALrjrF97lcb9eDGM2qO6GjdxAaTSGEEEKINUYra0IIIYRYIcG9gCKeOlpZE0IIIYRYY7SyBsR+d36h65BeqnMAr9UPMymbWINVHzMnElsJsAgCbEi4N1WnOe1sD9K77HV79RYIVTid05iFO5n+Yp1JaiPS38DnaHN0aa5DmV05+wn63fA0aanAkoP1f+NttGzx9SSpu2DOcIobtGJILDf4mF1uGtrl7Apy3gFew8byEtzOWVGY+f4m9SyRjidnoZDogTJWEDgofE4Y1CtxqiVMRZWcLzon3aNmjmxc9p0dnMOTSz3lcwL2HNW2F4mhrU5NtyruD9bL56AzsFbYEmQCdh1sveL6zvpIsucph00nKrIAQS1cYnvE6bkKLOv3Jfo/mLc16e2Q3n5eszbZaJ8H7mbF05fu9Xi9VRukec7oR1krqAWrexM9rAkhhBBiZUTTCwarRqMphBBCCLHGaGUNQOuJudBj7uhMs1ZdU9ioc+AtHBw1rWnDsn/stvdnnmN5gPBmZDd4dKfnasgCZHyq11q2u+ePq7h2eOPzxqUtt2/zVFNvSa/KFyMf6yiHsE3jPNmEegb+d4HGMoL/Q84Og8MO7KLegRBXLxOm6R7kw44VhlM22uspK7YvWNwKHe0xeDzYumNeiLCliWQbQ3IVhYk6h+3WBtnj5PPF4d6itaiVYKdgOTsXo1AZ22pk7B6SesBKg+05XH+IikLl1WYzmImdCmzzuUv+6sb7CPWn8IkR/M/IXsX9lsKgy+DmN4Vhcf5MNv2+0Wk/dhtPwDgP6D7CmVHQ3iST5SKXbWVaGD7yqczIKfj81dCJJLyL2UT4ZHKbd0gYVIncV4tGUwghhBBijdHKmhBCCCFWRrRgtZKYrhStrAkhhBBCrDFaWQPCKKMtY8jCAbU6rNtxmrHJnDQxw0YwVd3ndV9hknnFnB67K7TkoFfIsT913/+w3vBTohiDbQVraLqU4mqzEbzUXfZwuHm3zW6Wyqf5YrLpPQquPrvp39lHKJ3TgIUg2Ai3AR+pq5y2xqXgiv49+poFSkimzURDh/voMBIrD9D4bR34ndee1fSP0zlxvajR4v50G/mhRbosEq0bbHMbmK5onvamJK0gwufIpRIiHWEXdHIbj3uBFKZsMjM7eFozvzgdFi4M8HGlHWwKj3b8nHD6RD5m0m+Wo/ZbMmqrOCUaDy6ez8mmLzveaT53930tHdpGq6HJFlvuNJ+Tq4BtPuA+N95tT202b5xxf1I2o0stxmzH01w3wzN+chU031FzmOjk4LiqTvv4zHoEv6NdME055VZJ/blTFqykWVstGk0hhBBCiDVGK2tCCCGEWBnRzGr5rK0UjaYQQgghxBqjlTUgHGbysDCkWdt8ohHcjEkXg55oBaebmpB4odv8ljVi5bARLySZhNgTCvQada9sLcs6uDDxQhD2QHNlK78P03WNt32bTj/1OFWU0W8l7UM1rA3aPCLfNdCTJB5MGZ+1SDq04qgR4IRTpFmDseQ2WC+FYxsqr0dEnWOqWWv3k2L9yvbHm/nEXm79y15IND7VzDVOKdUB/R/rfXiuVaCpYZ8sPJYJpRli3dXGFRbyQNkO65xAd0mpl1CjNdn21+LRfX4bxxZTInF/k5RbiW4Izglp72ImJREf1xjm9IRSEo1BM8bpk3gsXWooanOyDTor0umVA9bUtnsy4rnllEhJ2qiI+9rr4ftah/qD/T2834/Pzofb71WsDY7QB77+O0M/DwOM5Xib9G3gk5foCHO+a3SvwH3s+8bj5c7D2urXglXr27k7Eq2sCSGEEEKsMVpZE0IIIcTKkGZt9ehhDRh/woX2nYHDMH73aBfSxPB77Jj1hFJIVds7bnt0CkKJOxRqhdBdeeRDWhwqc/uSVCuQ9oTLDqheWJ7ntEfFHoWNP9bEN7d6n+B2jbe2b3zu7vs2SmqzvHrUlL18ze3buXDxxufeNR+u4HoCnogk1JoZr/ZoXDIG+Fo/v3Jfd+hmBed+tOv3leNcyNZXc3g/2E1QeM6lvzrM+yC4/tJwFGApEegukQtjFWTZgPfrzhHNtiMKBc1JodbW5sYVf5w4JteeRTFSridjKeNSWs0ZAw77tdbJ9wYe90luHrSHypJUXnD+OH0ahuuSEBtbpOB+PsRqwX3mD5PHEm0+uP3xth+DHoTkOzx/2C0IwvUc7h1vNQPY26Nx5rRsMF58vZXQH05XxufWpR3LpD1LZAYUYlZ08d5ED2tCCCGEWCnSrK0WrVMKIYQQQqwxWlkTQgghxMqIMUiztmL0sAaUh4unm0qsMs702vehdqEmawxKkdQFjdhk24sV3OvdpO8JuXxONWtf0PqB6hkMfZu7kEIqsS/wPg3lNdim1+ELp0tpt2FI2PBiE9RvpFYCbEOCHiBUL9oFcKoe1gqBvq2z7+cI6gg7Ryx2YbuApsOJnsyl3CFt4JgsSUAc0zto16WxlUAkDR0eZ1nxMcMGW4fwVINzW1I6HpwzdcnCQbamaY4l6TtdUzxGrh7QBvX2/L7xNltBtM89b+/i97F1Bk6hYtLeV079VLCW6qA5t0laIdS+zvn/oEsNRXYq+Nt5KZtyuj1XD2kVy0y9VZ/mE1obUT0sKkTdXi59WtI/ujQ7MEdYt8hzz+kRc5E91jXTfQ6vo4ptPjKp8Tg11Z2SbkqsFj36CiGEEEKsMVpZE0IIIcRKqRQGXSl6WAPC/tH8QtfLFuRkfV/jSJ++Vo/O9bSsPxzTdrPm3dnxpwftOjh7ANtEFOiWHzNhULYcKH3nO9caew62HUnoNTYJNZXNWgAwMLZxy9veTzBstcy9gKOOMAaBwowdDg0fNqHheNrHrYZnIeMEheo2H+MYHJy/etftQsuWxB5k4OMgOx/EmLJvou6DAz5lkeBwai70UnebwS0pVJ+EBLsYb/L7Nj/W+EaMzngbjeFp378kJOfabLfOGVOmBrS86FBYFrMAmNG1ypFVaISvaQ5FFdh3qqeC/rHdREHKi9F2e8gN7Sc45MdKggqGOnKGhy2Y+zTmJdmrYHiTw9guuwH1Z0LbRcaeo4aw6IQOGsOe0y+wP9a6j0nCoHAexlv5Gwla3PT2OU7c3p8qk7GDw72YMYT7ijYj0wLZ7oq7FD2sCSGEEGJlRDOr9VS5UrROKYQQQgixxmhlTQghhBArJEiztmL0sIYskSB582IAACAASURBVO6G6V1pdE2s13L6MrLuMNK+Geieeld8nphiwO+1QxsspYB6WCdXoPaN7RxGXkTjtEJsScApmyq0XvD1OsuEOamffN99Waf1yGdTcuvGrEvztgz+uFjrhS4NYeTrQZsIHufEFqXT1Mvjg7YVxcgfdDH0532y2/QosStBm5FDXw/bjlSgb4vUn2LUPrisc8I+VBu+nmqjaaPq+32cogk1Paz/S3ROcIrYRsPZhVAbFVlnYFqmmtP8gOaIU/7w9cbaMwT1bZyuiC+GDtbD7g4wn1iHFiilVInb1LcJWHlUG759ttXAcx3GrB/DuZ+/dzrpGd+rUIfWYxsdqgf+jzXe9W12D6lRtFPJWNPUNJa9g3ZbmKNzfiKi9i2xbCJ8WrZ8iisH3y+zrYi7FT2sCSGEEGJlTBO567FylWidUgghhBBijdHKmhBCCCFWSqW1oJWihzWk151fZgbrE4Zn29MybaHWjHL1cGqTaqcRxwzJl2rjCfDpGbbr16YVQzusLStRzMXCGNJd9Zs+JBqsQ5+aavKhD9/43N/dcvs2z5678TlJn8Sauv3G261+/JLbt/NQ409WUnqnMKZt1KJxKpiMhibRj8CYFNRG56DZZj80Jvaay23MHnq539I5QT0Z6s7MyDeP9GzjXc6R1E4B+sOqO+emG9q1ZpPN9vRJrNtBry4uy9uoRStIr+X0SOzFRXq7yQb2ndqEU8Qpf3J6SU7L5PrT57LkEQcayJJ1aOD3lU3RZpYVNpVw2XJfa9Kw1dD5gvW10IdQtGvdzPLpsfB642tvskuaPvCB6+5RXzO+a2NKKzbaAW3wfr4eTEnGmsPC+dD53yVeeFA28RTMpBJbZizF3YtOuxBCCCFWRrRgdTyZf/MIIbwhhPDxEMIfw3fnQgjvCiH8xey/Z2ffhxDCD4cQHgkh/GEI4a/Bb141K/8XIYRXwfefFkL4o9lvfjiE6V8xx2kjhx7WhBBCCHG38hNm9hL67jvM7N/HGJ9rZv9+tm1m9vlm9tzZv//azH7MbPrgZWavMbO/bmYvNLPXXH/4mpX5WvjdS47TxjwUBgXCtYPFy5ZkefFgE55jKwgkCSVO/Bo32mrEcz5shSGTOlnz92C6KQ4BorUI2yl0KBTswloUBokbvmx54cKNz5MzPgyK4Sa2rSh8NNVit5mW4Wn3uX2jU03f+xRGS6IgMAZJqqxMGDSxrYDxq3uURquPaZkoDMshZbBt4RCgZUK2HHIr95sBK4a+P2jrMd7OX97YhyQVFWzOsyRAknRqbgw4tkm/xcg+hyR5G6cQdw9OA6eb4jQ/gws4L6kenPpkf5FYicBQB/4TuN0JIqkHQ25oC8P1RAo78j0HrUaSUGdG7RFGdH+CQYhkq1FB+qmCf5fY/MDvduieN4B0XAd0X6XrBM9Dzi7FzIfOk7RaEGJmexceS3du68zJpHPJIe44xhNIZZ0EoH3sph1q78I6Ua/JWlCM8ddDCM+mr19qZi+afX6jmf2amX377Ps3xRijmb07hHAmhPD0Wdl3xRifNDMLIbzLzF4SQvg1MzsVY3z37Ps3mdmXmNkvLttGjPEjueNYj9EUQgghhDgZHoCHo4+a2QOzzw+Z2Qeh3GOz73LfP3aT74/TRhatrAkhhBBiZcRoVp2cz9qFEMJ7Yft1McbXLfrjGGMMIVm/XCmraEMPa0IIIYS4U3kixvjwkr/52PXQ4yzM+fHZ9x8ys2dCuWfMvvuQNSHN69//2uz7Z9yk/HHayKKHNaC+cnXhsqxZ61472+xjUQjqdvi1bEohVR40thUbfbJ3OGoXaURKG4U6o0h9RS0Fp2GxDqXKcpo6stxgq4zd7Rufx6e93m68g9qgOX9xQX/rU5tu1+A0asR8X8uBH6+cdtBpcVh/1GPxSSY1FaRXKo9o7I68GC9UzXj1SO83AcuWZI6wdcfeUdMfnodwToqBPwcu7ZmZVVtgy5LRpSVptHiuwSZr8XB8Rrv+dxN/aq2333zmOYKaR2Z4jjQ+MC03H/dluU20/eCFgApsNubaJaBjSkYjNs+WAfs+pHPi6umQfoz+aEcN1IQ0Yt37m/ljFZ3LEVnBoPZsQnqyuv0aMuqfVViWBVvNj3k8ijHryaA7235fd59FkPhDqhfm6eH9dA1l6klTXEHKLdJDhtLX49JN0TVVHoG+lu4x8TSdIyUGWAVvN7NXmdn3zv778/D9N4YQ3mLTlwmuzh623mlm/xReKvi7ZvbqGOOTIYRrIYTPMLPfNrOvNLP/9ThtzOuwHtaEEEIIsVLWJd1UCOGnbLoqdiGE8JhN3+r8XjN7awjha8zsP5nZ358Vf4eZfYGZPWJmh2b2D83MZg9l/9jM3jMr993XXzYws6+36RunmzZ9seAXZ98v1cY89LAmhBBCiLuSGOOXt+x68U3KRjP7hpZ63mBmb7jJ9+81s0++yfeXlm0jx4k9rIUQXmTTZcBHZ1+9Lcb43bN9rzCzb7Pp66z/LISwZWY/Y2afaNMX8X8hxvgds7J9M3uTmX2amV0ysy+LMf7lrP6vijF+1bE7+YnPnF9mRk0hivGpJuSUhDrQQoJey04sLnabWAfaVJhxBgOy+s78EZP9A4clj2w3AXYdHI4zCqvZURPC7Rz4mEDnaPGpFgZNbKq8uu/2nYJMEYndRFIROKzzK/e4nQnrTRvCMA2FL4ZgX0DjUe9stNYzOuut7BMrDwDDlWZmw/sbi5QkpAxd6HCGh5gJlXM1EApmq5XcO+RpmBjc38m9vyJX+YP7Yb6zywe3CfvZyR7rPXiQLSV8NTkbC1fnnOQPiSN9SxscviwHvn89PBbOtgBhP7YyYed/rLeg0OYoNLHguO0HpOiS1AEu2/qIwnPoDjThE5YLq7eHrfl+VG1yuBCuaT6XdIvBOcM2GuNTMD6sLuFwOGQtSELcGQclznrh5ghHWttdPbLZDtaVqSmuzCZWyUmP5m/EGP/q7N93w/evMLNPN7PPCCHszL57bYzxPzezTzWzzwohfP7s+68xs8sxxueY2Q+Z2fedVOeFEEIIIU6adQmDXv9bIZpZiDEemtmvmpnFGEchhN+z5o2Ll5rZd80+/6yZ/cgsvcPIzBZ/Q0AIIYQQt4TqTlgCvIM46ZW1zwwh/EEI4RdDCM+H799mZu81s/fGGPfwByGEM2b2RTZN12AGhnIxxolNH9DOxxh/K8b4zbf8CIQQQgghTpCTXFn7PTN7VoxxP4TwBWb2czbNjWUxxjfaNB2DI4TQMbOfMrMfjjG+/1Z3MIwm8wtdh1IvoU4GNQ5mZhucPghgOw7UhQ3OeT0bpoZK9GOJBUB7uimnK5pj0zc53QiNODVVOfKarP5wZK24rENkScApnEDrFbp+imIfWLPGqbv8ceZy/rS/Ys/7i6GfI72rTX+6Tx76n/G49/D8+SacFo7tVNh2AI6btULO2mDLjyun0XJ2HUmKq6bRaoO1blQU6mEdWgV6LdbXcT25fXxNoc4pVw/rkRLNEWjRUtsIaIMv4YxEi/VjeK5rTi9FKZzGoEtjLZ47Zra/oPM33oHzt0MdAt1cYi+R2GpAvSULyvCgqTt8P0LbCk5NhWV5XLu+zRq2Uwug9vlVk+YQ50GX50jZfk1xurKczWnMjAH/Du9VvK97cIfklwKirc/boHcLt3RlLYTwDSGE3w8h/L6Z7cQY983MYozvMLNuCOFCvgZ7nZn9RYzxn8F3NwzlZg9zp236okGuH28OIRyEEA4effTRXFEhhBDiruLRRx+16/8PnP178+3uk1iOW/qwFmP80esvFJhZPdOWWQjhhbO2Wx+yQgj/xKYPYt9Cu64bzZmZvdzMfmX2KmyuH6+MMW7HGLcvXrx4zKMRQggh7jwuXrxo1/8fOPv3ylvb4vRt0JP4d69wkmHQl5vZfxNCmJjZkZm9ou0hK4TwDDP7TjP7MzP7vdkz3o/EGH/czF5vZm8OITxiZk/a9E1SIYQQQoi7khN7WIsx/oiZ/ciCZR+zFjeZGOPAzL50hV27QTgczC90vSxp1orJ7o3PiZYCfbxq0lkNvJ6kgP3F2OfGQV1DRd5XrHPA9CVMDZ5D7ItVb3hxR+egEXSECYmDOEURjAmnbMql7knSF/WaaRm75BEFKYs6h6xjorHFVDpJ6qn2xdjEvw3OSbXpjbkG9zXjxX5kvY8f+HpBn1iMKRUUaMT4XBaU1qtztUkXVFN/hheaOTPZpP6QZg01baz76hw2ZTnVE+vHUP/DvmUlpnPitF7scYYpmzKplsx8SGC84/dhOx26pFlzVGe8r1zXeErQndNlNqKxnIBXGM/ZgmSezpON6nG+YTyWrCPsg66RvNQ2ttq1pUfXyBtwCDrLTT8Ps+EMvjWALqzu8E6okzV0IxbDNR8r6iqfo5yWsYRMcDx2LN8sR02fugdUNqOdzOpSM/6WiVfhJmnoMhrodaLW26Ar5d5ZQxRCCCGEuANZF581IYQQQtwFxGhW6W3QlaKHNSRnPcFQGHTjw41tQ73phxXDY8UwY59A9W5+3PcnSZmE9bDzQh9CXJll8+TVcw4/oa0G9zWxmAC7AAqD4lJ+csy5a5rGeQz1sDVFSSmtYlnA58VvHBzOjNtNvIVDthjO4JQ2vG4d63bLlAnMmZJSiRUDSqe008SUJzs+nIp9x1RYZmYlhdxHp5s2OdRZl83YjrcoDMP2F3DcbJGABzre9nsmO75/3f3MPOUQF/SB68EQ5by55qw9Mq4ViV1Jjws3H8sh+09gPXnLjRLCtjWFmytQRXDaKlb/oj1GfYVC5XDRc0i0vzN025N+M5jVnq8HQ5SJXQltF2Mo22+3HQq1P+aOd8Nx84BD47mUZGk6rqYPo9O+zf7ldsuU8Q6FsSFNXM6uhOEwegWSBQ6DJvdvPQPdk+hhTQghhBAr5V56U/Mk0GgKIYQQQqwxelgTQgghhFhjFAYFJs+6v3XfPN3A6Gwj1mHNweZHG6uFQDqv2PfCi/Gppp6jC35f/0rzCn7nkEQYJFrhPrSS9xO2yTbYaFCV3X1vCRD39m987l865fZtngXRz5wUV2hxYR9/0u3buf/ZNz6zPQlbbkTQ+NVF5j1+hscEzhmntCpHmPqJtGXbfbeNercBnVunL+Pwwa6vZ3QGtGaUAgy1MAVNkWqD6tkBqxUani4cc6INythqVL4Jp1Vi24yCtF1owZHT+5iRPcd+e39q0kdxqqPxKTi3rLOC/iXaTpal4fRm/RYcC19Dib0EZnc6Ii1eTneZ2EQ0ZcsBjc/jzUk6Ok8arC5fQ1Bn5ctiG2HM2jsqC+c+GefJzcuZmU3O+APrXYH0bnu+bGJ1gueErU5AZ7nxJM+R9no4fRlq1pL7Gv8vw13i7fY3TDGZc8NcQ6IFpZtaMVpZE0IIIYRYY7SyJoQQQoiVIlPc1aKVNSGEEEKINUYra0D5xN78Qtdh/6/dszc+1xvtf1Gw9i2MvEijcwA6kHOc06bdq4x1IL5N+gL7wPos2kYd2GTTi0KGZ72pVvngfc2+8z4XzHi7abN3jftH+o0tqPcTvI7w8EIzJltP0Njt2/GYo48KkJMo8bqD3yZpqtgvCc4Zny+fSoh+l9nGVDjcxtEFP0c7h6SpSzzRGnIpyXJpfFjT43Q8rKviFGnoMcZebpyaCqulPzkxxRV7t3E9E/Qu43RB6GU2afdOS/tD15DTZOWvW3fc7J2Wq6fmcwSaQ76NYIqkkT/oirwKUYuWaNbGOA99G6W3a/PppjiFlNPF+V2sRywb+W8y12o+RUV72d61eNNyZjeZB9C/Ll1Drr/cfi7DHfv9gS6tGHMbd96aSjSTZm3F3HmzQAghhBDiHkIra0IIIYRYKTLFXS16WEOeeHJ+meuUfq28e98ubOXew6ZtWvIuDpt4Qu+aj1N1Dpo4CIeQOFSFFiGxx/YOWJbCRP32vneOKA3SiF7z7zZjgulTzHy6qUR3ylERSHEVC98fTA3TPaQw3xbFuDKr8BjO5DRR1QaNF4RlR2f8OTm8v+lfcc7PiTN/5sPqHbBeqfq7bh+mzuJ0ToHSTW08PoKy7A/QjAFbP3D6KQyZJulv4DCT9FKJlQd8pvmNNgiVj4zbmNJE9a62W2Xk7vvjXQ7dN583Bjw+frN70D4GGEpMMrYlVhnt/cPx6lC4MEmjBWM5oTRfmMqrSMKgVA+G1cmOw04313FR+n31IZ9sSJVHY4njzDYsbMGB/UusMYqbfzZLU3fhvOB5mKS8grHMpYIa71KKqwO+bvCH7fXMezZxVjokN8H0V7xvfCYvixD3BnpYE0IIIcTqiPJZWzVapxRCCCGEWGO0siaEEEKIlRFNPmurRg9rQDh3dn6hGYluADRQnUEmFRSJX6rTXsiD6Z1YO9VBzQjZRHAaK3xvvMykoqr6rH1hewfQrCT6Ov8+fLHfvFdfHm35eiftfg+8Wh6q5tjKA7Y2IeET9pVTL0Hf+bg4NRQy3qJ6QMeX04vUXb/v6Onbvk3ow+BsSfuaz52B22VV35fde07TH04ThST2LnTIY9BEsS6ti5q+OSmSUOvFuh2XfoqtKEi75Gw05tkpwCWGujMzs7rbNHT0NDrvbC2yYGyh7tA1xHdOdMPJaDL5d5yaCs99l7RTE7DOSDRYVE//Gly3H/UHOToN2tIt0k6R/wXahXAKKTx/bNVR0hx2+3iOZPSRk812nSVnkOtfac/3VJNNzRB0YGxp0znyZXEu4hzlsiXdH431iRkbG9ceXbfJtp6B7kn0sCaEEEKIlSLN2mqRZk0IIYQQYo3RyhoQNzKW7gyFM8enm99yOGxj2MQoOFyJIT/ez+G4zlGz7l/Ocd3PgX/wzHsNHC0lmBD7brt/pUkhwKHgzgBCiVRluswP27U/0BLCWIldQuKv0FKnmRn2YY6ViLPHyDmPk10Bz4NcBgqMkVQ93ufnAZ4/dmbHsa0oZFMn/bv576ZfwGcOSWZClMm5xTvMnD8NszYIuVBsEkYHCUAmpGVmVnVRotDeHw4h59zqk+kEl0Jd0vVP1itYlq1W8JxwSDKXCYEtLkrOIAAUY7/PzelMRgWeh8WE73O4sz0bRKQ5ytdJAeHW7oEvm1h3FO37fF+5Tdou2ssWcL9O2udsMJBtJBvapOHpkHXPnbBgpQwGq0cra0IIIYQQa4we1oQQQggh1hiFQYUQQgixUhQGXS16WENG/F5/hoKFO6BHIE1G3YHX6I00amMvdCgP4dX0yotNvOUG5/Xh1+qbdrg/qJdgDU/d9YKN/pUxlM1ffPWpxq5jdJrSREFKl94ep62h8doo4bO3ABntgB6JtDeJlsqlsWm3sWA9G99jqm5T0WjXNzI412yzBcDWgM81fCYrEewf20SwNq8L7XDfx+AWkqRPyqbfou1MWp/ELgRlX5xmCLYjSUK53iwZzVjdo51wLIndBBcF2WViUYKaJzquJN0UfuY2YLw6lD6JLS9QA8X6KKy4oLmfpJtCXWrG3oXTVvX2aD/0b7JF+6B/uXRbvH/C7juo9yPdF1uA4DZr+tJ0UxHK+n2od6u89DaZ3yVYcHT2/IGiNi+5z9K1WUya31a5eymNJVsmiXsTPawJIYQQYmVEU7qpVSPNmhBCCCHEGqOVNSGEEEKsFKWbWi16WAPCJGPGkxT2woLutUaQVIz9sEbQrEX2Khp4YUp50IgrNi75epzOiTUzkYQOzrOKNWKQzmnA+ijSUsEFx/tQFzdtpzlO9ogbn4KuPc7pgSgFF6RX4pX0CWiyxuw1RWKTyUZ739GLixmd8vvQIw7rNMt7lXUOSd8C4z465QVcmHInsL4u0SOhvs1a4bQ5vT1KJQapxmrS7SQ+Z7n+YFmWUsL0rvuUPumMv97ileZg5qVTijDuuTFgARnrk1ADlcwIOJaStGaR5a2ou2LdHhx3ou2ac5xtJHo2qqcDGi1ucwTXIh8068kKGNvOod+Xux/lKCkNk/Ooy2gnzfz48BwteY7ANtfTOYJrccdfuBtXyNsR/NH4+sd9fI+py/b7HPtt4r0h8WCb4zko7g30sCaEEEKI1RH1NuiqkWZNCCGEEGKN0coaMHz2hcUL0x8Ng/NNXIbDjlsfa2IS/MfG6LzPCTQ61ZyS8TalrXqyWdfvHFEIiTpUQJomXp7HPCwxSXfj4zt1F0JTnCqLbUc+8sSNz5vnfTzl6EITf+Ix4HBBF+rtPeFjL5v3n2na58hvxqKg5uPM/JmSvHKfsVMoMumvhqd9hyLElI7O+w6gBQCHwjj9FIZpE/sLTEWV9JXCK3j1c2Yj6F5uXM18iKniOwo02Tng8I6v2IWCk1Ri7e33rraHpse7nM6tvSy36cYvk4rKzLx9CdcDNhvJPjrXGILrP+lP4GS7Ga+DB2n+UFgWw3M524rxDo3HnHPtgGPm4+A5jPsx7dI8xpt0bzhqftu/yvY31CaMCUst8Po79UE/zny/rHpgzzNgKUh7CinOcBfgGq97vrOxxlgw/9Bv3gkLVko3tXq0siaEEEIIscZoZU0IIYQQK0Ura6tFK2tCCCGEEGuMVtaA7uWj+YVmREo3Fc404hfWfTgNFGmniqEXd/SvNLqG8Rbl58EUMpyuhDVHLv8N7UM9Ujf/1w9qvepNf8x11+vSyr3GEyBJNwV2Af0rrF0iS4fNZgAnz9x1+44eaH7bveZ/x6lyXModPsyifR9bcKD+piS9DdpjcGqcJP0MtJmkkEHJCtu7sB4JNEjdA9bXNBWNd/zvWBuYw9mDkC6O+xOcTQzpiHDuZ2wYzPxY8jlI7DmgzZovE+jf5sf8nOWUSVXGViPUi/cdf5tYm2QkWok1DdipkMuI0zwVZH+R6De77efPaU8TS4v2VGcV2VbgPE00aqyXxL5PMpos6k9Jt2S0/WCdnE34JGFqOj9Am09gf/IauhLTxnHXM+4lqVYY0gWSDhXnWqD+3InpppTBYPVoZU0IIYQQYo3RypoQQgghVkrUytpK0cMaEI5G8wtdL1v6RUm/VJ6zf6dNXimHsCiH3FxWgvzb3T5rAofjIBzGlhaTbR8z6e5BPIMOi+utIWzLGQww3FRRWKYcUT2ZrAAYxiopgwGHyvC3yX0Dwxd0XBw2wjEanCELgPub7d5V/7tTH+AMBk2jo11/YNgGhxIZDJUzYQusBOjc8nxyYa3MfZVDXOxAj6GyCVktYDgMs0+YmVWbdBzXjndzH+/wOEP468l8NgjOTOALw8eMFcW0TShLIcAxRPK7+9T+gG8AzceKZQdwPhfNdGCWyjLGZzHk5vd1jtrPH19fGI5PQ+Ptthp8vfE17urJhJtzVh3T/e0hbgx9shSkHHIGg/Yw6GRjca+TnOTEHSdZdwzOsAXQwk2KuwiddiGEEEKINUYra0IIIYRYKUrkvlq0siaEEEIIscZoZQ2IW/yyfKYs6Qo6g0Z0UHBaJnh3n9NCVRuccqc9tQnqQFjrxjgN1BKWDQW94l6BjQZr1MLEl637HShL9UKan9jxnU+0MKCJSrQ5aCVAlg1sy4DniDU0TnPEsiHSt+Br9ryvA3YdSbqpU5RSBk714Hy7NoitDSqalkf3ge3AmHVp7f3JbSfTqbh5ObO8DQpPTNTpVD3aR9vu/M1LN+XSarVbpIzOzLNlaLfnQBKbCB5LTKdE1guY4iqnzzIz619tKu4c+kbR0oavC663A5YuXbLjOJo0A8S2J4leE/azjYa7xun88HhVMA/Y1gOHMhmfp5JqKWM/M9ptOl+yNUbN87QpO97xHczZerAe2M0LLotWK/S7XEq5dSUqkfvK0cqaEEIIIcQao5U1IYQQQqwUWXesFq2sCSGEEEKsMVpZA8ZnN+YXmsGatcGF9nRTm5eaz5xKJE1J0nw8Ou8r2riMDXrRTCCdnPMR8i14/7HE88gfF/qBJX5EI/aaa/eIK8G/KfE1I41GBN1TUs/w5p/NUp+lugtaQfaag3FP9EgEyrCSNDqY/iaTQsrM6224nphJf8X9Q51V0nfoAmsB2QMN93ObzuuO/6TLZTqLfC6bz4m+7tBXXMD5TOYlHQv6g3UOMh3iNGzsxYftZLSLqQazvT/JHMF5yf2he0UF6aZ6V1j7Btc0ac243vFOU89ki7RTbp7m09blvObcz5b4s5/HB+vl8Ric99vdg+Zzb893aLTTLgjk/lXd5ov+5by/Jt73+H6d05pxSinejwS8Fjnd3TzN6FqidFOrRitrQgghhBBrjFbWhBBCCLFSpFlbLXpYAzp7i6eb4rBaiemDehxTQssNCleSVQa6WhRjvx6eS0mSvPKO4VYOARbhpp/N/GvqZmbdg6Z/HAblZf7xbhM7G56mcOrppj+clilZ5odQ7OgUt4Eh0nwqIXNvyrf7MvA9JQ1DtKemQbuJUFNFZJmAthodskHAeuaFHdEuhEPBGIIf7/h9uVBVYgWDYzln/b1wthW0D7aTNjLhXh7KbLowOl9FZpwTq4qMJMD1j0OkSRqk2FoW+9c59DvxXE77gxY3mTRxdBw5i5uYTP12K5HuAd2fIITLVjmub3y+aCzxvjfptd+7+HfdfQ4FQ3/6+YmZC3H39psBYvukRJri7smUsg3ul6nlBt+f4P8DmfmTpCDksnoGuifRw5oQQgghVkY0+aytGmnWhBBCCCHWGK2sCSGEEGJ1xJuF38VTQQ9rQBhM5he6Xpa1FXuNoKPY8DuzqaFYwzZutBSYesbMrLvf9I8tNirSmmFqmtz6KeszWMOGVgKJTm/UfmA16VKqTTyWvF2A02/UrAO5+edp/7iezL6M5oktL1Cbh+NhZjbZBAsQSntUPsHnFnQ7m9QhtNWYo9fCbbZs6YJGi60yWI+EekC2tOiA3o6tHxJ9FFRb9UljBGMyOkV6nzP+eqsvNyc0d8xmXrdTbdIchvNZDtvtSszMetfa96Hmj21hEl2a04G2282kKYm4nubz6LTfOYH7CtsD8f0I22QtJx5XQpgddQAAIABJREFUten3TY58BzuHzWeeP65eHg86znLYFKi67df0vHvMZBM/+4Pukb4NNWSJDg0YnCWLpCucy6v5ODxNdkUwL/g+kmggnY9N3ubH/WxeveKeQA9rQgghhFgp9Z2QxPQOQs/oQgghhBBrjFbWgNED2wuX5WX+0ZlmKGsKUfYrDJXx7/z78KNTzZr3ZINjP83HxC2fQUd8tueAZfXEVZvCsjU4fSehKAqv9K82ngm9q35qdfcyrvsEHtvm495OZf/BJg7CthVJeA76W/MYGIZa6WdLOIZj6DPwud3xP8TQ9eA8ucrDb5PjolM9PN8eokQriDQLQMbuJQnrWSvZsD6PFWyXZFNhV318p4IEIhx25DHBc7L50fbjYvsSrne0C12N7WVz7v1mFJKnuebC8XRvqOl6w3Hv7PtGXZaEcf7v7BLC2L29dqkDz0M+f04ukGQegXI0Pnyf8+3TF9gm7eP+dffxM9totF+ofE+uwVqIw55JtoN+uz0HDlDSBv3fFSOfPA8mG+3nk+vRgtW9iR7WhBBCCLEyoskUd9UoDCqEEEIIscZoZU0IIYQQK0SJ3FeNHtaA3qWj+YVmsOZgdKYRx7DGgO0VkM6h10uUg0bgcvg0700Ri5t/njZC/XNWAu37WIOR6tvabSvGW27TOkddKOv3YXqcRPvGOjno0/CsH4PxKfjdZaqHtWawzW34H7bvMqOx5L7D6WNNVppGq32fS41F+p+S0lb1Lzed6BxQPdC/wXm/q+BsamgBwrq9zHCxbQRqEMvDdi0eW4kkqY5Aj5TMWbaqgP5NyH4C7Sa2P+wPZLzbrivKWiJwfzJzhk9tjkC5g8Ygm60pnZKzV2H9GI3P8GxT75i0kzg+ia4qo82rSEPrnChIQxtH7ec6SfnFOjBgGX0kzwNXlI4LtZ05vZiZnxfcH+w7j2WiNcNrnOqZ4L11TuoucW+ihzUhhBBCrBSZ4q4WPbMLIYQQQqwxelgTQgghxEqJMZzIv0UIIfy3IYT3hRD+OITwUyGEjRDCxRDCb4cQHgkh/HQIoTcr259tPzLb/2yo59Wz7/+/EMLnwfcvmX33SAjhO+D7m7ZxHBQGBcJ4jpkSQmmQUBOR6JFQ80RpT0JmrrEOpJig6IG6k/j/tNfr/McoZVNF+o3OsDkYTqeU+i6169uqXlMP6/1YJ+e8i+i4qo1mH9eT8/jKwdd7mm6q+Tw67fcNH2hOfN31wqHtD/myLgUQTbWcNofn0wamsWLtC/iusUaNva/Q1yyXqiudz7QN9XYP/S7sA+uqsH0zGpM5vm/YJ9ZHTkBLWdIYsBdeAfXwteBSm1Hfk7mVOX/Yvw6NT6JrhOPkdEo5fRSPQc4XbngW6qT/dbDusoDjZt0gzidOC1f1OJ1Ss3+y6cviOM/zOMQ+VKx967bfn5LrDe7D7M/GXnzJ/Mc2M+OT3OegzYK9FHEecgoy1hVLt78UIYSHzOybzOx5McajEMJbzewVZvYFZvZDMca3hBD+pZl9jZn92Oy/l2OMzwkhvMLMvs/MviyE8LzZ755vZg+a2f8VQvjPZs38qJn9HTN7zMzeE0J4e4zxT2a/vVkbS6OVNSGEEEKsjBjXa2XNpgtTmyGEjpltmdlHzOxzzOxnZ/vfaGZfMvv80tm2zfa/OEzfBHqpmb0lxjiMMT5qZo+Y2Qtn/x6JMb4/xjgys7eY2Utnv2lrY2n0sCaEEEKIu5IY44fM7LVm9gGbPqRdNbPfNbMrMcbr68OPmdlDs88PmdkHZ7+dzMqfx+/pN23fn8+0sTQKgwL1xhLDEXjpvFniLjNWGfx3wKTnC7swZC5Gyt2hpXoXhuQQDWx3BplQq5kNT0G6KQpXdoYc6mj5zM0XHK6g1/4xRVEmrVacEwrC8EZiTQF2Khw+qTZ9m5PtjLUAWhRQLJNDwbGMbUWzYTQOr7AVQxvz0nHlwo4Yvuywo02mr5zeqQuhsiRMxOEenPp0vjicmbNBwHpGp9pTP5lRSqlc2rE5dgo5GQT2j0O/kUJuvauwLxOeT0K2FHbs7IO9C50/DOXXfZ6zviz2vTxqDzMmkgi6piY41zJjyWFZBpUYqe0Q1cuha7ev/RriNFZYb2KDArY66X2NKs7IT3JhUD4nd0oY9AR91i6EEN4L26+LMb7u+kYI4axNV8UumtkVM/sZM3vJSXVuVehhTQghhBB3Kk/EGB/O7P9cM3s0xvi4mVkI4W1m9llmdiaE0JmtfD3DzK6rjD9kZs80s8dmYdPTZnYJvr8O/uZm31/KtLE0CoMKIYQQYqVMdWu3/t8CfMDMPiOEsDXTkb3YzP7EzH7VzF4+K/MqM/v52ee3z7Zttv9XYoxx9v0rZm+LXjSz55rZ75jZe8zsubM3P3s2fQnh7bPftLWxNHpYE0IIIcRdSYzxt20q8v89M/sjmz73vM7Mvt3MvjWE8IhN9WWvn/3k9WZ2fvb9t5rZd8zqeZ+ZvdWmD3q/ZGbfEGOsZqtm32hm7zSzPzWzt87KWqaNpVEYFBid3Zhf6DqkTzg63wgkWI+AOjC2U2DtxARSugxPccy/aaMc5ZPaxIx+zL/+zq/Rk34LdFeJTof+quk/2fSpd41SJD2JAhfqT6bezr4XWvUuN1O2JC1O+no+NsJtwnFxKqN6jvYEy4KIhn+Xs1fh1DhO8zTHQQZ/y3YceJysj+J56dJNsa0H6GSSlERUNqc5cponnvucmipz3DXPEfwdWy3kLEDoXLvzwKcP7Utyc8vyY+CuRdZ2+U13vSV6zYBztl3naWY22QYtVZdvAO2/S+Y6lB2f8r0tQK9ZUnopnk8ho1lDO55Ed7rl2+xdbjrYozaTNFZovdIhHSpY3Gx+zFr3cT0M3r8TzVxWt8tftO/j9u8UzdoSb2recmKMrzGz19DX77fpm5xcdmBmX9pSz/eY2ffc5Pt3mNk7bvL9Tds4DlpZE0IIIYRYY/SwJoQQQgixxigMCvQfP5xfaEYs/HNu71QTXxmT87gLcXFkg8KZvWvN56rX/u554vrPQsuM7UcNS/dJBgMKi25cafo3ISuKMYULRmea6TQ8Q/vOQoj0qh+fJIQD7Qyf6WMbg/ubejYe9/UkYTYcPh533J63Wp8JY7mK6ECKEdmiwDwYUwjH9XVOf9CSA60DzPz5G50hOwcKOzrrjEz2h8Rig8cSMxjsU18HGOLKW7ZgWDtxbecwKLRZU+gMsxL0KRw/JhuWAqYXZynA05kLhU8LYOdoV8ZCguclhvIqsvXB64Ld+5PwKoT92NbDlSObmjDmGCV83Pb3qhrmcM1h0Iq2oZnJrq8H50EiJaDwM44P28TwGGAWBb7vlnCrH56jenh+Q3c55J6N9C2xr8hZm6xPNHFhoi1lWCsWQCtrQgghhBBrjFbWhBBCCLFSFnPVEIuilTUhhBBCiDVGK2tAGIznF7pelnJKdQ4bYcMyofpEw1Y3X7AeCS1AsFxLzU1/EmsMqGfiO1vxa/6ub367d9DeP9bpoG5mrv4H28xYL6RpWehYwLqCtSaohUnS+pSJALDZ1/X7arAdCFfdrkQvhdrF4VmyB7DF6e1Bm0kKqWbf5sdIf/ikb2VwrjkRbHuAFjO9q+3pd8zMIugjO4e+bBfmCOsY0V5i2vnjaVzY7gG1Z8WE2/RlC9D/sQwU6010exnNUUFpvlBflkuxZWZWwzwdnm630al7/lzmrpNIczZuNp3t71BniWoCdkF00NWg2cfXHhMmcKC7/mLsdJpjqdk256qfmBPQ2PG1WLCVR7f9noPbaB1i5lN1mXlbkgnNNaeTzWjd5uGsX2iOJNYhd8ISS1wv6467gTvhtAshhBBC3LNoZU0IIYQQq0WitZWilTUhhBBCiDVGK2tAdXZr4bLsc1ZtgP6HPaIw1QmlYRlve3HX8DTW48v2wMMq0WARqGmLpAXibaQzpLQsG+1lS/IRK48akUaH9GzlYXNc87QcmM6od+BFWf1LzaDM8zxCL64khVPOF4uvCugv61kwD1I58LuSVF5wqsekncLfcl9ZD3T0AGrW2NsNPtNcm2y2p8Pi9ECY6ohToiVSFOdHRv5aToPpf9Ylvz2nPZvnNQVj2SF7RNT4DM77fTxnajgPiZYS2kxSWmVSpnGaL6dHIj1kEXm8ms+sWXV1kncap1PC+c26VBvAtbjrd53eppME7B15wda4aC6UqiLvRNaewb2i1/eTrdttJjzXM9gk8esI7o9z5iWOUeyTRxx4EHY/7kVhnDoL6030rLAz0R+yFx6U5fmD94bkd3eo75o0a6tFK2tCCCGEEGuMVtaEEEIIsVI404l4auhhDSj2R/MLXYeW4Kve5o3PnIYJw5dsaVEO/fJ8H+wfDu/PLHzOW2HGMEi7E0VSD1uCYEg3eaWcwr3d/aa/aTqszJXLkUWISoy6fgzGYPfQo/AOh2VrtCHJpJvisCyHvEoMDSch5Ga7oOnDYSwc2/GTfiK40Aenxhn4L3pXwSrjgNtoPo93MymtqGwyRzK/S8AwEdsMYLGK+kohXDzOeemmnDUF7cOQcvea3zc6namH001hOqynENJxFhOcEonSPaG1SKADw7GN2xS3JrqbzSTe3PATejRuLuT7Tvn8YJsdX7aGkzua+AHCS4HDlxWd2wl0vt/3bWBJridQSjK3Rdcth4ad/ISv/6P2SV31+JqCa3zSfk0lVkJsh4Mp0pL77s3rnH7RXlbcO+hhTQghhBArI5o0a6tGmjUhhBBCiDVGK2tCCCGEWB3R7pzXVu8Q9LAGhCUUkVy0M4B0UwW9xg6bufRAZl7D1jny9WA6J9YxpCmlbtLp62Wd1UL7PjOz/rXFBRKotWD7gmobBVJ5ERRaiyQ6uX5GP8baDrbraCPRrJGWCjRr41O+7AgsANjiovwApbE5bDrUPeMHfoQarTn3ONRkFRlLEk79lNq9tM8n3GZtIusaUZtXkEbMzVm2kMlo6OZeiqiTI20Q1ltSGzwvXZukj/Jzj/RQrDmK7TuxzURvxHpN0EuNSHOI+8q+P/FsldHrNfvPbnk7jrJoOnHfptesTWo/Lw8nzeD2uxmdHKfRojHYq5oTsdXzExH7c0g3rtHAVxxBhxopMBTGmQuH7w1gz8Hppko6KQUMH1vcOM0a6TUjbdeZst0DaIO1eHy7zN3cxV2LwqBCCCGEEGuMVtaEEEIIsVJk3bFa9LAG1L0lhoPWJLvXmrBDkbGQ4CXuxAkd6zzwhYsqE7aiCEDVa8+E4JzrOSxL9aILP/cdQ79mZsW4/erE1+gTKQP9DI+T++PDVtxGe1iUQ3e4r5gTTsWQBYcSu3vNb7s+opSE1WuwIUnCaHAekjAInb8RhGI5ZNsFKw/OqLBx1Vd8dBbmCIVl0GbAhTJv0j/sO8+10U7Txni7PaxnRudzTigYx2+yyROo+ViRncrotC/b5YwU2AaG9efEIJwNSsX9abZz1iZmPszG4TmUAJQlnQQKlXXL5qRgmNHMbLc7vPF5u/QDtLvhJ00NA/2+6umt/e5SG2wBUsD+Mxs+LFvBia8oDNulbAcRwrs124Vc9hkWcNyNLUDwfkTZDcojCr1CM+MzdC1cbp8/HDLNWSa5YvP+HyEp2D2JHtaEEEIIsVq0srZSpFkTQgghhFhjtLImhBBCiBUSZIq7YvSwBkxO9+cXug7Nw6P7GjEK61L6oBXi+YuvopuZjXYb8cnRBb/wufFkUw+nVkpTkoDui3Ob4M+SFDtkO4B6O5biUOqV3tVGpNG75qdW92rT0Lw3z1Ev1TmkdFxPNPXi6+7Tsu0aKNTeTTuBBan9JN1U85k1WQXYRhSkUZlstFu4jM60p1NirVmq6YNd1B9MMTXZNIL9XaBN0nbh/CmHpDWjOePGhJuAejt0XHGPxgBTP83RNSKsO0Mrj6rvf8jndrzbbk0TYH4Xo7zeDo+bLSTw3LI9CB9ogamNuJ6M402giwo1YoOJnyQffOLMjc9/5f5Lbt/9m5TiKqMnKzIXck03yF6nmbSnen4ijKqmfzWNR+eUPz9XDptJfTTyAxI3vAA3dJvfFqXvK8rduh/1N2w+LDzXfI1X+L+MwNpOOn+JdQ7sy6RPSyyI9BB0T6KHNSGEEEKsFmnWVoo0a0IIIYQQa4xW1oQQQgixOqISua8aPawBvY/vzy80g1NKdbeboZxsURoU0P9wSqLOkRckbEFKoqrnNXTOx2zOErPz7eL1U/wtp7vJ6GIq0uJVZ8nnqNuIhQYXfMXjU43Yo/44+Rix7mqr+e3wlO/Q4H7QsHzct985vHm/zSz1Ncp4sAW6yYTMeLm0R5xyJ6M94b5OMimJWE/WvwQaGtKzYD3jU6SHYr0Naqky6ZMS/zwqjMedq4f38XhhWq/Jli+cpC/r4+d2XVrvCmlCz/p6clqh2AV/NKN9rFnLeBfGMnOxks4J9XasXcSi7DHG4P8oe6Xv0M7WsHXf/tjfcwZw0Y9JszauMK+Xr4fTVqEP2+kuebmBP2JBk/8jlN8N/ePilr8wRqW/QZWdjCfbsCk7IV1cQRpN1CAmMj34Ipk/pE8s2c8RwPtu4i1J122mGnEXo4c1IYQQQqwWadZWijRrQgghhBBrjFbWgLo/JxcMkoS4IDSVSbvEcGiogJBc58gvz3eOMHZH9VD40oViuA1YVuewLNOB0JQNaScv12dCXobpXWjW1RwadrYR7W1y2IEtU3Kpqdz48Kv6NJYVhKYmW37feBfDIPm0VSXMi0ApnIoKQi0URmObli7Uw+cP7QI6A/od2aCMIRUUW5v0r1krHKbFUGxF5xZD5xVZiUy2yU5ho+lDRS46vF1DiLLa8R2qJ+1hK07h5EJMHKbt4ji3W3VM62l+nNjzQMiUbT1CxdvwueZ9cMz0O9YH7R/2W/dt9ZvwYbHE8seILEAOIZSI1hxmZhvbPs6/2WsuZA51diFcuEVpqvoUXi0h5L1Bc/YKh167nO+poYKwaKRxrq/6GwlGMzl0j+eP7zHJPTpjF5S7V40pRdqds2CleO0q0cqaEEIIIcQas7YPayGEZ4YQfjWE8CchhPeFEL559v33hxD+LITwhyGEfxdCODP7/kUhhJ+4rZ0WQgghxHQJ8CT+3SOs7cOamU3M7B/FGJ9nZp9hZt8QQniemb3LzD45xvgCM/tzM3v1beyjEEIIIcQtZW01azHGj5jZR2af90IIf2pmD8UYfxmKvdvMXj77PDKzq0+lzcHTtuYXaqHuZ1I6wbvWbBNRd/3z8mS7hH2crgQ1T76N1F6h+RgSO452fQ3ro0aga2ItBZft7UN6lzEVrhbXLxSg52LdVeeggHL+d0mqLNCasabPFaW0WWkKruYza+g6kOqIUxmNdkPr9niXtWbQN9az0XHuPwipu1g/Nsn8qUknEOcl9x39AXhcc+OTahXhc2JJQvYuO1CU70wkPnOHkqQHahoanae+b5IgcJT5exV0aoF/x3okrCcRkOLFSOedzm13r6mH7V1Q0zcaZ9ows/HVRrN29WP+vrYHbX70AT+ht7b9NqaUGk98m6j7qkkv9kTcdttnt45ufD4iD6AS2pjQHN3p+f6gJciQBJId1s2BZm2j4we6D2WvXPPjM+nQPRpP7QZblDR94GuRNYdoP5PY6Lgf+n2Jvs3EvcjaPqwhIYRnm9mnmtlv066vNrOfNjOLMf6Wmf3WiXZMCCGEECn3UIjyJFjnMKiZmYUQdszs35rZt8QYr8H332nTUOlP3q6+CSGEEELcatZ6ZS2E0LXpg9pPxhjfBt9/lZl9oZm9OMY49/k9hPBmM3uZmdm5c+day3UGVes+hkNDwzPN0j6HLzeexPfxqW8VhbwgHMVhtADr8ej2bpZaFGCIKwlbgd0D22hwqBMtE9Bp/Gb1boKzfufI7yuOIHxJjvwcTsW/yCZ9HoN2iwsOBWNYgvvuQhYZa5NpvVBPz+9zTv8cKctMJ26jtW+Whja7B2BtQmOJ5294hmN1FEqE88djh9txk847O7Xn4jJoe0DWKpMtOl9ga8FZCSoqi7YatsvxcPh8mL/Fhc3mt6FojzexvUNStlu3lnXzi08JdQ/HpHPUbuuRhG/5Lggh3LjlJ2I9gN9OfD0H13yqCHcsPAYdkD10/aQNdEM6GDUXDmdJQA4n/gLjDAuH42b/3sDX06WyW93mwu2Xfo6MIPtCr+81AOV5CnVC+Lce+ZtevdEcdyDpB0sm3Jxl+QnKRNglZvTUA5+PPvqohRAO4Ku3xRhf+ZQrbiPanBuDWJa1XVkLIQQze72Z/WmM8Qfh+5eY2beZ2RfHGHMJhm4QY3xljHE7xrh98eLFW9NhIYQQYg25ePGiXf9/4OzfrXtQE7eEdV5Z+ywze6WZ/VEI4fdn3/0PZvbDZtY3s3dNn+fs3THGr7s9XRRCCCEEMz/mJZZhbR/WYoy/aTd/8eUdJ90XIYQQQojbxdo+rN0OilE9v9AMDsd3jxotQzVhfRTmSPK/Y80abvevtu9LU5lQyhSQViTWC8XNP5ul2q7eftMmp2FizdrRheaL4Vmqd7fRgdQdspDI1MupqCbboJMh3Q73HWFNn2tvjgYLNWQVadbGmDKJftgnKRWmm2L9ltM5cl+TOdO+Ly7oIDH9AsvS/IE7A/c1l0anphRAmCIt0WfteG1Q56ApkIwPpYmKYM+xe8arIdBS4nDgLSSS8YKygUSH3V5zAscj3/nAUw00bJH0bAFTrbGFDd9yoOLkeoOfhgmfBKpnnNELZcQv8YiOE/VSyXUK6cpqP3bsBHMIk+9JOieob0MtmZnZ0ag9BSDr4sqCt+ubfubtZ5277PZdG3rd3pXDJk/agK7xCq2XWBPKWrPMfRd1sWyjk+iK7xQpmFbWVsraataEEEIIIcSCD2shhDdeT+s02z4bQnjDreuWEEIIIe5YYjiZf/cIi66svSDGeOX6Rozxsk1NaoUQQgghxC1kUc1aEUI4O3tIsxDCuSV+e09QgO9Zzl8r/SFrWJp6enu+Itae5WBdGIL9S9InUXqn4an2elCPNO0fblBh3F5CI9ZJ0mi1e8RVXmriYB0ItpHo9kiXhvop9jXrHGIqMb+ve0g6GfCTm2y0C8qS+UPjg953PAb42+4epeoa+LITGK+6z/sgzVgmvZSZ1wpOOGMbnK/JNmm5tr2or9oEPyvyWYvk41WAP9oDu/tu3xh0Tx84IC8uEhKOLjeDwPKxYrOZNAXr0EgDVeEgkS4t9JuTEjmFHA8m7suNO3eWLiL05mL/v6oH2knW11I6pQgaxHDgOxTwWqTOTshzLELZD1OqrD6ckx6lhRqThg291HqUXqqmMejCge90/Y0Ot5+19aTb90dXHnTbmOLq3LbXRz720Uacy3rESGmrCthfDul8wf2J7yN8rhO95JqS0wmL5Vn0gesHzOz/DSH8zGz7S83se25Nl4QQQgghxHUWeliLMb4phPBeM/uc2VcvizH+ya3rlhBCCCHuSKLpbdAVs0wo85yZHcQY/3UI4b4QwsUY46O3qmO3g8lmOb/QdTjd1FkI4ZCFxMblZjne2XiYWUXhyvFWs3103u/buNysh3eGHB70myXYkHB/JtD3mmcAL7GjvQO7BVAEp7fXtNm/TMe1i14QlgVTMfWu+VBH71oTk+xQ/orufntYNknvhC4oPHYUosDQZ82hDQgjlUmYsaDt5vN4m8MgEAal8WELh9FpCE3xDRFTbJHrQWIJULbvK8Amhm1hEisYZxPj68HQdBIZH/oDwxRTsUeladzRVuNw3G7v0N/0B8ZGnf1zTV60svQDj2G2LoXcChr4EaQkouljRdmui6j5MgY7jO5+e9qq4QVqg8P8mOGO9m1cbdoYkzXGZJPDvc12MeR5ABt0CvheUUMIsKD5XEMaKw577mz48OVw3NxHDoZer7DZY8OQhtNdf3Fe3HzixudHj/xg8rlFi5CrR5SOC6xOAll1sL1KOYDrlu9HmdBmydftHRIGFatloYe1EMJrzOxhM/skM/vXNr00/41NswwIIYQQQsy4t97UPAkWfRv075nZF5vZgZlZjPHDZrZ7qzolhBBCCCGmLPqwNoox3ohChxC255QXQgghhBArYFHN2ltDCP+bmZ0JIXytmX21mf2rW9et20Pv8mB+oeuQjmey2XgWVH3/DIxpojitT+eQNFmXG4FULLw+AtMVzUuRhK+JJ+mKYJv1bLxdTNBugnR6p/121Wv0JoP7fJuTB0D49aS3U2AN1LjJ7mKjHT9FB/c147XxuNe3lEfty+6xzGv8ENaM4dgm9ilQD1uZoFXHtF6wTDhoT7nFlg012T1sfayppyTtIp6jw6e12wOYmdXYBdYYwTzlOZu1lMiJijMpmszMOgegXWJtYI8sJeCk7Pa8rukqpAsaPOmvoe4p770SilyHoT3aZg1bB/RukS0koOyRebhsBenUxtt0H4F5WeTSSZm3Pqk3eB987nJKO182QDuhpjbhRjJvFNHWotdr1/CNKK3XZELXOIwza8smlR+vwaQR0n3o8LTb94H9xnLjga1rbh9bgKAecTSm/2XCOeHxYcuUAqYpWya5a5PuPyVPmjsluqgXDFbKom+DvjaE8HfM7JpNdWv/c4zxXbe0Z0IIIYQQYvG3QWcPZ3pAE0IIIUQeraytlOzDWghhzzJDHmM8tfIe3Ubwtfm5FO3hQg65YegscX/vUjgMquVldAxRcGiMLTgCehRkLhoOaVXk3o+hl+4hHVfirI+WIPz6O/xuzjC76Aa7d09yoc72OmuKHWBIMrGiSBz64TOND2YTmGyRZcsVct3HMDZHU2E7cU+hMXDh1ozVStcb+yfZKUad3LyEz0vYu/C+zkHzufCRKAuUlaDagPGh8BxHnzEctlF6H4Rio4kbXTrt400cgptM2idj7Rz66dyS0z4667MdxwM7zYn4YDzj9lXk5m8QduS5ljjbZ8AMBnz9V2DPEfu+0uT6cmFQv8vNmXm3TrDQlExtAAAgAElEQVRpGQ68z0d/o4kBdrv+/AyO/CBE2N/t+nMwIBuSEkLc45pCpBDOLCkbxd7IyzSGYA1TU6gzQHiX7TjYMgVDnz3KLoL7+Foc79D9ycS9SPZhLca4a2YWQvjHZvYRM3uzTW/HX2FmT7/lvRNCCCHEnYeeKlfKoktJXxxj/Bcxxr0Y47UY44+Z2UtvZceEEEIIIcTiD2sHIYSvCCGUIYQihPAVNvNcE0IIIYS4QbSptuMk/t0jLPqCwX9lZv989i+a2f8z++6uotpuT1szj8TSAffhKLN+hOwwqm5TmK0yumABgvons/SVe9QOsb6tgsNMbSrIkiTjqJekuIG6Skq9MhosnsoL9WR8XFhvohFhdw7sAludwAAlKZK8ZMXVy/YcONAlacLYBqXqNdsTSjeFx8Lnlu9H+89oOsznD8eLNXyB/rzC4+bUVLgd6S7B5x3ndEUq1slOexuRrBZ4v9s3ppME52hv7E9YF8Se5075nGSsTzoCnRPr0lCzFmhybXb8IPRBw7Y3JM1T1X6bjaSB6oClS5fPFxQd0zizbQRqoNjSpoa0R8NzNNdIwxbxnBz5CZXY4bhGaBvKYuopM7PRsH18JpSSDDVjFekNK55PULbb7bSW/f/Ze/egW7KzvO9du3vfvtu5zJkZjTTCGmHZhlBgsAwi2A42CRbYZTmumBAHWVAEp2LsAhuHW7kCZSCF7SowTmzFSlBAChXAmNjEFlBCIAghYIQMltFwERohzejMzLl+133r3it/fHtOP++zTq+9v2/2mdlnzvOrmprde/Vea/Xq1X36W+/Tz/vx2SVXNp1ym1AvzRFMwYXppMzMeoe0fdA+Xjn7mw5ZAN031h1iraxq3fExU9hTCCGEECuQ5C0WL4ozvP7oCSH8+XV2RAghhBBCpJz7Yc3M/vjaeiGEEEKIVw7xJfrvAWFlU1wmxvht6+zIJlD3Vn92ZY3a5ELz25o0Yr2jdoOkTkZ3Nd1L8vM0n2Z5HUN0MgvORQVlLCVL0g5hneT3Q+vc/f1mu0t6jdl+U1HiF5WkzgIdSOXbcNoOzn5D++JhszYQNTVJWhjSZOE5Yj0b6qx42T93jliL53zNeE542ZV1j9p91lAnV1Oaoeluuzdfon2DbdbMJfo2vIvQIKBvF6fYqY/85Ovdbk4uayVr0kehHonTA2GaoYMTSjdFaaL64NXFejbUsNXk08W+fZMKtKaknTqeNl5hnE6JNWvoNWecvghTG9V8wfvNahs8xvbI0+sEzRz97wL7zsH5Y40oTgzWfQYanwgXHGsVKzhOLrMx+VAeNOe2pjk7H/gvJp1mrCclX5ygiz2kczLkiwH2PaE5C2OZpADLXFOp3rfd95H/jXiANPUCWOlhLYTwl3LlMcYfX093hBBCCCEEsurK2leb2X9sZj+72P7TZvZLZnbNTv+m08OaEEIIIcQ9YNWHta6ZfXqM8aqZWQjhMTP7gRjjV92znr0MlCfsf5GBowXb7SHUWMAyP0cka788X46atfL+LY7zNR/ZjiNbbya1UdJXThc0gjIORdHsGV9qfjy+4vetHpk23XnexxI5fIn1VkMKE0GIIh6yN4XfxHBCYguBTVJIIrGYgFPLKaVmYE1RTHwZhxaL6Rz2pfAOhj4yIe3TetrbqPvNgXHol9NNzcFKJJeqKyEJ90LfyCaiGENfKXQXKTTVweMa8tyncDhM1Me2Dlq7eu3Qx1M7VM8E0g71OEQKdhy9wpd1aBDQnmNW+8HE7dmYLppp7r5BX+CQsFaHtzGESsdcb2XSTVHYEdNWJTY/GeuOROoA4dSYqANQr0Bz9oBsNHrYdwq581jCcXcOfFlvv2lnesl3dk4Dj5KFDlkSoXVHIiXIWAl1WLIBv+VUfTlbqE1Gb4Oul1VFWq994UFtwXNm9in3oD9CCCGEEAJYdWXtfSGEnzaz/3Ox/V+a2c/cmy4JIYQQ4r5Gb0KslVVNcf9GCOE/N7M/tfjqHTHG/+vedUsIIYQQQpidzbrjg2Z2GGP8mRDCVghhN8Z4eK869nJQba8+HImdQdH+V0Rsz1biUhCd1gP2HGzvgDYa3BxLfDDtUEb+k6Q2YhsNlG+QBoGtGMxpMniA2nV7DL6qXlD/ihNItcSvtBc8lnf/bObHgBwSrBr6NmegU6t7fl+0WkitVqhNPCft8poE1i7hdlIGXSgpXRFaq5h5/V2Vmfp8ntl2BNNRJenJUGfZo4Mc+orqQdG6b+h6QVCv15z8K/0jV9aHCfTchV1fVvhJ8/T+hTufpxXZMoBmjbVuFZ3AMVp3UD2DXiPqi2SNwTqrDqQsymp+WPfF26AjjKQDq3ebsQx9Opk9Oif95ljK22RxAdoq1h8a2VhgOiy2K4md9gPlemMX2yS9XcVas5zeDvajvnbJKgfFQjXr5OCC4/t1cp1Am3zfLyClVM5GRzy4rKRZCyF8jZn9mJn9s8VXrzGzf3mvOiWEEEKI+5SXyhB3xZcYQggXQwg/FkL4rRDCkyGEzw8hXA4hvDeE8LuL/19a7BtCCP84hPCREMK/DyF8DtTztsX+vxtCeBt8/8dCCB9a/OYfh3Dq8tnWxnlY9QWDrzWzLzCzAzOzGOPvmtkj521UCCGEEOIl4vvM7KdijH/EzD7LzJ40s282s/fFGN9gZu9bbJuZfYmZvWHx318zs7ebnT54mdm3mdnnmdnnmtm3wcPX283sa+B3b15839bGmVk17jeJMU4XD4sWQijtFZjo4eSRcyd0sAqN0ika1j1uH6oZWUFUW5AJgUJuaIPANgzsiF1nbBkww8Kc25jQa/69TGiPYi+9w2a7PKJX3A/axzZx/ofX2kvqT/cQwsTLnL3RvSAXWkja99sYomB7DgwRcrhwsuf/FsIsF+OHKEwEfWD7Cw73njwK5Rz+wswDSfiUXPihnOcPuq9z1oYk/A1wmAhD04FD42PfwRrCz/MtH0PqDfwgDCDzwO8c+L8bL/Ybv5mHhz5Eem204/cdNhfV8dR7ttw4aGK6ReEnEG9jZoLJkR+waa8pC3TMGNY383Y9w+faLW2mF81D8xtlCImFzKTpwzQJabOlBEgA+u33sSSjApfj6ZuxFw3US03UWxTqhN8WlAEjkRbgsbHUATI89G+QfIKse1DqwNe/u+csuY+40CvbeqBUhq06eNjvF93+hjwhhBAu2Kne/ivNzGKMUzObhhDeYmZfuNjtB83s/Wb2TWb2FjN7V4wxmtkvL1blHlvs+94Y481Fve81szeHEN5vZnsxxl9efP8uM/uLZvaTi7ru1saZWXVl7edDCN9qZsMQwn9mZv/czP7v8zQohBBCCPES8YSdGvj/7yGEfxdC+N9CCNtm9ihYkj1rZo8uPr/GzD4Bv3968V3u+6fv8r1l2jgzqz6sfbOdHuyHzOy/NbP3mNnfPW+jQgghhHjlEuJL85+ZXQkhfAD++2vUldLMPsfM3h5j/GwzOzYKRy5W0e7pWuCLbWNV6465mf2vi/+EEEIIITaB6zHGN2bKnzazp2OMv7LY/jE7fVh7LoTwWIzx6iLM+fyi/Bkzey38/vHFd89YE9J84fv3L75//C77W6aNM3NukVYI4dtjjN9+3t9vIlvPsXAnQ/DCgdGVRpBQ9VnXgK/jkwbrxG+jFm30EL3mP8+84p6x3Miml+Lf8b5Qzuml2CqjHIHmiHQfc0gTFahR7gOmmBpf8oWjxyEF0HWySKgyehI+LrQvIW1JYjvC+XFaGknqoVRiqKHp3/L7YmootgBg+jebzzjmZl5fNnqUjoMPK5diqtPy2e6SjitjJYJapcSiYeAPNEKqo87QD+alXe+nUHSa+fQHd6+7shlMqN+4/hpXVna8Bup40og2RxN/YLMJpJDyPbfAY4I6LErZNAd7DtYjslaQrwW3LwwX18PjPttpxrre9uOMuq845Hxl7C3U3p/sGgHdSFCvmKQdy9RZZlLK8XzqzNqv/0S3d9Ku2+WxxHrZjsP1hzWidC4xnRofJ+rUknvyqvGvTWNDNGsxxmdDCJ8IIfzhGONvm9kXmdmHF/+9zcy+e/H/f7X4yU+Y2d8IIfywnb5MsL942PppM/sf4aWCLzazb4kx3gwhHIQQ3mRmv2Jmf9XM/ieo625tnJnzK+rNfu1F/FYIIYQQ4qXgb5rZD4UQemb2UTP7Kjv9M/RHQwhfbWa/b2Zfttj3PWb2pWb2ETM7Wexri4ey7zCzX13s9/deeNnAzP66mf2AmQ3t9MWCn1x8/90tbZyZcz+sxRj1goEQQgghUjZkZc3MLMb462Z2t1DpF91l32indmV3q+edZvbOu3z/ATP7jLt8f+NubZyHVU1x/0EIYS+E0A0hvC+EcC2E8BXr6IAQQgghhGhn1ZW1L44xfuMiP+jHzOwvmdkvmNn/ca869rIQMuIugrVdxdSVZn5Hnj6cTgXK2fMMNVHLUpC48iS1EaQ2WeKPVGY84rIpkvjPANCX8NjxmOD4oeda0gZpRFhT59vw205ztOS0uzQx5DmG3mBTaqR3m9LY4LFkNHQJGc3YjHSDrn9L2sjpGvH8JTod7h7MS/QJM0s1mchgx100NoZUTMOhF3Nt9/y+XRBwbZfe+K2aN/Xs9n3ZhPJqHY8awVI19pq1OMnkiWP9HVxHHUohNR80FyP7dJXHtA3SPJ77zrMukz7JjLRwI+oPpPLiNF58LUaYCGF6foMvZ0fGY4d9oPsRe/rh3Ofrneepb9OX1cP2edmh48zdd901lEvVx/1L7oHNZz6uun/+cX+5gDc1xZpYVbr4wvT5c2b2z2OM+/eoP0IIIYQQAlh1Ze1fhxB+y8xGZvbfhRAeNrPxkt8IIYQQ4kEkZ0MgzsyqPmvfHEL4B3b6CmsdQji20zQKryiq4Rnekc4sY/NyfMzYIGDqJzNKSZKkiYHwILeRCWPNqQ2sl60fOL0T2mgkkSCyHXBpmXzUytkFLAP7l9QDoSken2wYlEOJWEbHNe9Smh9IucX96R5C+IvGgy0uphDGqijNWPa+Rim/jh/H9Dd+12KcSw+WaYNBaxP2reAIIIRepxeoENIVzS75SfvI9sht1xAGHfTyNjozyJV1dbznyiooO5mRHUftY1Oz4yYMGo4pFdSkfc7Gwh8nygmS0B2kd0pCbHQdY2q6glPIBZQS8H2D00Q1n3lOoI1G1aVYXZ86VMA2SyayoXu+j0ARWZtEtMo5yy04Cetz7jUo467DnOXQNIPXMaaeMvNjy9HdVArSfJzuZWxGeFyXSF7Eg8FKD2shhK6ZfYWZ/alFftCfN7P/5R72SwghhBD3K9KsrZVVw6BvN7Oumf3TxfZbF9/9N/eiU0IIIYQQ4pRVH9b+eIzxs2D7Z0MIv3EvOiSEEEIIIRpWfVirQwifGmP8PTOzEMLrLZ+I5L5kupMRTCzR+8y2m8+sJ+kftIsOkjQxoGWKnN4Juld6uU+S2sj/kDbxNXF6LTzRJ50B1L+VPjuQFYfny5nC+j+0OuhMVu8768dQF8JtsManA1q8auDLUN/GeiTWt+G415TiBvsT2R6AtvHcJxo1qAdTDpmZdbbbLQk6rA2ENrMWBGbu2mDdoBt3Oo6Dk4Hb7vUpXxdwPPUDNpo2FV872nZlY7DjmB1wLiEaA0xxxfMJxqTDKZJ4OmPaMRpLnJfJOLP2FMa6MyPrDkhJlKRIomlQbUHqt4Ef+O5B00iS+mnkT3aIeD9q1+kxrB/rwDxNtGUIjUftp4hLs1Ue+fYnD5MNCVybqZ4NrtsjP2mrHaoHzwnNkboP40y2PnyOatCe8r3Kparjfy7uU52+rDvWy6oPa/+9mf1cCOGji+3X2SIFgxBCCCGEuHesutzx/5rZP7PTZ/6bi8//373qlBBCCCHuY+JL9N8Dwqora+8yswMz+47F9l8xs3eb2V++F516udi61h6GWcYMQqg1WS3MwbJhmf1F77Dd6d85acf8LMUwFjuhh3l7f3jJPRda5N8ePg6WCa/2bdavauI/830fL+BwL4aCpxd8WfXqxhdhfs3HGfgVfBfm49AdjE+SDaI9YpKGNiBMU5DzIIex0Nqkvu3/TsI5w+EDPn+9fQgFUYYJtBmph67Iusd+G4+Tx8CFQXlO0L4uzEfzxYUL2SWi66+3g8Omw9PS79zt+hM4nTRh0EAdmsH8Glz1k4utF9B6Jbnxo50C28RQ5ohcWD26a5HaYBsUOH/TXZ4jLQ1aGqZ1faA/yWcXobBHB8Z2JdhfOn8uE0FyH2HtBXwccJwffkbZH8oTDj+DJGGH2szcEjlk24GsDtNXU2y64gGD+2U3E5Pk66Jst+coR+31LMtOIR5MVn1Y+4wY46fD9s+FED58LzokhBBCiPsYpZtaO6uGQT8YQnjTCxshhM8zsw/cmy4JIYQQQogXWHVl7Y+Z2S+FED6+2P4UM/vtEMKHzCzGGD/znvROCCGEEPcfWllbK6s+rL35nvZiQ5htn89ewsy/Vp+bpEnaI7KUmIPOIdGagbSCdTG85BzAyiMWGS0XaWiy9bKWinVzYFnSmZFeY5pJ3UNF+MveoS87wdQ0dNDuHBhprVhPkjGeSc4RaEb4fNXDpuKabQ+4TRhr7mtO85Ro6KA8ki4G2+zf9GWsb6sHGd0MtJHYDMxYjwR6u4ztANsnlIXfOYAeaT73J2FKWqrqpP3WhXYcyTkgexW0mMmmL+OhyumjEh1aexvJ9Qe/rckKogabnUi5jXjO4DmLlN5pPmx2Lii91Lwk2wpME1exeBE/Z/yBjM49jx3UEynVG1pjMKzlYmsR1ybNPTwnw12fH2x8QsJU2OwO/AmbjZobQqSUevNANxK0QaH+FDgvpVkTd2HV3KC/f687IoQQQohXCFpZWyvnX0oSQgghhBD3nFXDoEIIIYQQK6G3QdeLHtaAyYUXoVnL6AoKlESQ7GNOnmwz8A5iXdPgRjP72TMrkK4ItTGcAsj1NekP7QtDwt5S/OPuCaRwmdCe44xmLTN2mOrptJ5m5w5raDL1Jv5WwJzb565CM+yl1j1oduZzMtvx/ZvuNtuTS35frLekNpjxlWZMON0Uprji4+LxQlkR6yMxfRlr2wLpkVAfiR5+p41AnSM/sLcOtvyu6P9H9UT2ETtuJnWX0g5hSiJO+VVQmjbUICZec5k5k8k2legh8fLja5HTjhVjTNmW16W59ov2fctDPz6dW81BT674I2HNWJaz/GOMXShZ39a2Y6pZQ80hn58kpVS3OaGdnh+8Anz7OqS32971F+B2v5lEl4c+j97vPX+l6WvXX3DzLvnkFU35nK7FGrZZ75ubh+LBQWFQIYQQQogNRg9rQgghhBAbjMKgwPBGJs5AcIhydLl57uVQYi4dT++AXuGG8OHkQiaFDPeHQl5zsNFgKwoM2bAVRQzU5rx9X952aZnIdiD2wEpkyZ8IOH5TGoM4aAYhHvmKchqJxB4klwIok04pWy+1z2EsDI+hDYOZP38YVjQz6/rIi+18ovnc3yerBejP8WN84v1myJS51GarXxZJ+LuEsGO16495NvGTtrMPE4rDehRdxdAnh3vRfWLrWV/PbNvv685DZgy4LONQ4tKKmflrio+D5+XkYrsNipMh0GTne0611fyY0zsFsEFJwp6JTQy0SaHoCGFGTkWVgPWyzQfUy2mheDmhHrbbcSRzBiZCJzOfXnNh35Vd6PtYeQknoqITtrPVhEyr2g9CVft9T2KTm45tPtCCJ7HjWSL32FikWVsrWlkTQgghhNhg9LAmhBBCCLHBKAwqhBBCiPWhRO5rRw9ryIuQBqBFAE9S1Igt06wgrGdz2qklF4JLkVS266OS9mlGlEdgE0E2CDXZjkz3mu3pRa+T6V5oxEz1NdIqkSYDsxCxFq+73QxCfeQ7m+jtMMMNa/rQUoI0WTkrkcR6YdBuccHzCe0xkpRNGV0ja9hcyiSeByjpIZuKLmnoqkZCk95YsR6yEmFNFs4LtgBBcdf0ImnWyJ4DtXGJTieT7ol1VxXo0lj3ybg2c9fUGe4NrGdFPVmSzo31gPjTXH9YNEfXcQE2KZGsIOaZFE65+cSpunK6WMZZurBmDaczp9jjtHX95sDDwA9eoHpLsOfAz2ZmBdxkHt++7co6rAeEG3hJN4u9QeO1NCPN2mjmbxaTXjMR5tTXWMH5Iv1h6J1BNCpesehhTQghhBDrRStra0WaNSGEEEKIDUYra8Bs+CIyGGQsHLK/47Aohkxz/gBcxK/5Q4gyyUoAFgAdCm1yWAZDm0mbZHnhQsEUvqjhNfaSq+SIF9TLWQFGJ429QzFbEioDeJwDZmZIsjhQGAQcJbpHVM+8qYjDxBwOq8jOBMHfcpiRrUXQfqKi0GsB4dXeIVmAjGiSwKTl0C9Ggga3/O84bIwu/LMdfw1hSDdy+ItDnVDMFg4cosTQ+TwTxsaMIKcV+c0S5hfPfbymkxBpRs4wZ8cU2K6GVA212YeIXMFZQCB236k5JJnJdpCxfpizHUePrGBKbJP640KtFNZbZuWB+8IFyOd9Tv2xXntWAgZDnztDP5iYiWC79GXHdKFeBO+c1w1uuLLnRnvwO3+jremmU3abCzmw1cqsGbCY+Z1ZKqXZWLSytla0siaEEEIIscFoZU0IIYQQayOY3gZdN1pZE0IIIYTYYLSyBsy2zyAGoF2ddohT46B2iN9aZxkRaD3Y6gCtGEqyU2D9mHsdnjVZoMFC+wazVCeTs/kInOYH9FzliW90ctQ0mqSUSVLcYH/odfzrTT2YcsjMpzZiOCVRogfEeqje3mGz83TX71ttod6G22j/05L1bDXo5Hh8uifUWRCtsJUI6hGxb2Zm1bBdT5ZLqcWpsVgphH3guYbnrzymem75zrtSPmQeW+hv9yCjXWT7FNIVop6TTxdqtAKPD09hOJREs4apxDiVGV23HdArDvb9QdfdptHjV+dFYU4zRsfV3cfUeKQ162TqzaRsC9PMOTCyEqI0Y1ltE2vWYLM+8fMHbX3MzPqg9UKNmpnZ63cb7dnNqc9BdqXvhak7oGm7Or3gyjowCF0S9fWLdruQmlJRhQ5Ykpinw1rP+4X7tNubilbWhBBCCCE2GK2sCSGEEGJ9KIPB2tHKmhBCCCHEBqOVNWB4IyNkYkhYMNkDHUiXdkX/qEgaLNJZ9SC9U3XIPl3turgk3Qtss+cR64pcGc8IHBL6XU3HOQc5x/Qhr9fYergxtKqf33NlgYzOUEc0foR0To+BWO+q90MqRuTNBX1nj6icnoL3RV0RasLM6FzzuTz086kEn7NAYjPUPHbq/J+kXZgjg9vtXlPHj5Km57jdP45BvR2n8cr52SWpstzY+bJ6y4/P8NmidV/W5uG5nTxEPnDgKzZ8juYPed2hDjRJE4fXFN8aMreK5PpCbdeS1QbUGVYDf1Gj7ovrSf3JIA3a0Hd2DvcRHudiTNcQ+uS19vouGlDW/2H7U39csYCdqZ7uNT9Jq124hi56AWKnoOsNNWJ0g3x+3Bjw/acPPenKDudeyHsCk2aLzRSxfTopRcf3J+uP5gw2qZ6C67lPlqzuk27eL2hlTQghhBBig9HKmhBCCCHWi1bW1ooe1oBquKY8HtkQiW9jtkU/hdfzEzsOV1G+C7iqzm1iyCJNkWQr75vYjsBvpye+oumkCWeUnN+JQJuG3r4vm9xqYqRJyIZDQ7kxcqHpbHfcWLIFCKbj4ThHh9NGTZsBw/NsRjYIS6Lx2N/pju8QhlA5DFtQSqBJD8KOfN6hHraXSGwZ4C7CfXfbHGYs/RfVNtqXcD2UFikT5q8GTaMjOjC+pjqQsoztObgPWTDknqTGwr5RGxz2O8JxJ1sNmF/cNw6RBLDO6cx8KaYHiwMKkXK9MPmz8zKxPWlPh5XYfGCkk+cIyz0gZMqWFhwuxDDkbtd7Hf2hnefvfB5Q7P5m5XOUFXDgV8pDVzYompM7p7nGYdFc+HIOB9ot/XG89uJtt831igcDhUGFEEIIITYYrawJIYQQYq1oAXC9aGVNCCGEEGKD0coaUPXPoFlLtBS5ituL2D5hutveB9SMsR4qp6/htEf4mn/y6j6lm0Krg4otSXJ6G9K3TcfNVCuXvObv9FvUH0wxVVDKrcQ2AurJ2VQs1f/BGOExnrYBWpNj1mD5v4Vmu01F0x1OKdWu1+L+ubRoydi1z59y7HeuBy07mreYyaXNMjPrWHt/sIi1b+WRn3w5q4zkr3R0OqhW17PxHKlAM8rzqfQZirL9wWPL2ViwVQ/3p3/Q7Nw99BOhg+nCWIvHGj/oT2dCadlgc8ppj3g+ueNiCxdMo9du+WFm1gMNHdsDZaWBmeWEyGnrCNSIlWSjgamhfn9yxZWdoHeQmW3BzYz1YttlUzYlQWtFecewP2zj0es1Az3o+cGb1H7A7hvN2n3SzfsFrawJIYQQQmwwWlkTQgghxPqIppW1NaOHNaCYnmF2cQaDi80iJdsgDE7QuZ7aPKRtCPsdP5axpuCwQ4fDcy2/o/4l4cFMSHJZ6DdnLWDgWp6EWhK7h2YHtrjA/iah5ySEA190OYQDHzmkNctsD30ZRkxiEuLi8DOEuI4zoTuaP8WEnP5vQJ0Uoqz6zY/Hl2iOsJ1CJnSP7vnzkurJWLYwOAYdsmzgsCNasSRzi7dxvLrtkoDe7XyozIUvac5iG+WJbyNW7ftyBgy0BCooFM37ziCDQW+f5gjGzpZci/UAMhj4qF4yv5HE2qRqD3FjODO5hjJh2STEnbEE4bLOBOZlh7KA9HyjEe6RJ5UfhCcPX3Xn8wWy9bjY9fHvGQzux8Y+ZHoM9XJ4clj6gZ5DWHQ2PcM/vVuj5fuIVzx6WBNCCCHEWrlfpHX3C9KsCSGEEEJsMFpZE0IIIcR60craWtHDGtA7WpLnB8lIYVjjE4t2LQ6nlEHd3NZzfl9OVeO6cxa5HerZSKOS6Mky+hbWKmGWlmrHj2VnByvy0y7pOzoCUBt1vwQwyBwAACAASURBVCksMjq0hFwKsKQN+ino5DglGVo/JJqwW2SZUDWdwLRQZmbzjB4p0e3B/GJNzzxzRXO6qRlYi7CdQgVjwHWyBQenBGqFj4u0VGiVkaQZ4uOCVFXzQfvJrQd53V553HxO0moBrMGKrN/KaCBx/NgOJEn3hhKx5D4CbSzRDaL+r0P2N/Ne00Ee10QbiOnmuJ5Ou0Y1d19Zlk4NKU78GNTQ99DPVzSZNQd3e+zFppNuU4app8zMDuhGOwLR38M9LzIeFs19bUIXypwm8XTSlM8pBRjakFQZmxGz1IZEPBjoYU0IIYQQa0WatfUizZoQQgghxAajlTUhhBBCrBetrK0VPawBde8M6aYy5NLNsCakGrCXElZE9aLug/2QSDPi/Mi4HtiXNTQhsq4JdCl08SU+WZNmhxmlWppsNx1K9CzU9xLq7R/4wZzuNfWy3ucsN4eQ0cVVWzQG4H2V6LMwpRVdTaw1q6EhPu/Y91CQRo3q8f1p1+0l2jI6zjno0tiLC+dFTgd32lDzETV8p31oOsRaQB5LV87jTJPPXUd8vRUwD3fbve7MzHoH4P+XpGXDBqkN1nZmNFk4T5NzQGOL11Cuzdw9hstZ4tSZNYM7JY869Gcz8/eRckT6v4xHXeLlhvOS/PbcmND4JF6KqOmj9Fe8zemekEv9ZoKPam82eXvm9W2Xe82+T/S9vu3GbPvO5xnp0DhNVDVtDoY1jwY+mTWlALt6sOd3VXzxgUQPa0IIIYRYH8pgsHakWRNCCCGE2GC0sgbU/dXDoBx+qgdY5vftQqqaOf+OQkMVhLhmO76se4SfKSyUhDqaz0laIVj15/bxlX8zH0pbFsLBrC0cIu2cYLjJlyWv/cM2pwDDMeBQiwshmQ9NcfYrdyx0vooJp1fC9Fd+3zlYifQOKAwzaA9fznZpnN2xkJ3LzO87xd9mQonTPbaF4ROIbfgirHe2k+ur35fDoAWEvDgs2z3gawj6u+TPSAyPlQd+gmP6qTTMyGMJ9VC4GW09eB7mwnNslVGMIOVWZq5zee+2j/PXA2iUO8BRdewPna/BLTyWfMg9GwrOSDZ4G/vA/UELF75Xoc0I9yec+J3rTLopBm01fvvwUVd2uX/stq/gTSepZ/X1jojhTb4W4WbFlh/HJ/4mvR6xjrjf0MOaEEIIIdZGMD1UrhuFQYUQQgghNhitrAkhhBBivegFg7WihzVg6/lMvhmC5RDTvUY/wRYgEdOy0ATuHfovUE8yvrh6OiXWUrEWxpe1a1ZYgoH6EpbJsB5otgeWABdJ4/MQ6G+ep7xZNCao/zt+tW/05DXNgQ2v+rJEC1NkBixj3cHnFo8z0ax128vSVGLNZz4/aJHC692s8Rten7eWTeEccGos1hGiXUdiOwLbSQoiTrUE/UUNn5nXQE29A4HN9nzne7ebithCoh6yZgx0YA95kdgcLBKK57wnSUX1oG4vJDmumo+caim5FnE+cTU4fmyxQ+PurGkmXquE9fDvknME48O6VNQgxtKPR4f0ka6/mWPmebjMNsb3tfk87/I1Q5o6PH+7mVx4ZjYHK4/DsR+E/dEjdz7/J4//nivrJ6LMdjDF1JgsQMYV3yBBv3niBwT/XWCdXp3TCooHBj2sCSGEEGKtyA5uvUizJoQQQgixwWhlDZhc4PfxM4T28GHiLg7xAgyJmqUh08qbZ/smk3oz4GN45i+cxEYjsQBpfhw4FJSh3KPjGjdjm7RJcTUM1209R9kEdpoDYxuExL4Az0nur7yMG/1pPe1WGRjCGV/xP+zfZssLeD2fMgZkQ9yc9QLCm5x5oIYyzvDAoTz8bRJGy4TuE7DvdG7nziaGQqS7PlY26YHDOzfKf1ZCmG9ryx/Y4EJT79EOxQCn5CrfgfIONwLjPGg/l2Y+rM3h8CnIGXq3M1kSCLbRcKHpxEaHriGwKOHwtzsndL9J3C7QLSR3/1kyR5w9B0sJ8Lh4jvC1COe9KCiEW/jB7JbN9s6A5kjZzJG9cuTKJpmUHdsdTpvSMKWMBeOpP9BQQYibLZIgRMph0Fn3Pl2iuk+7valoZU0IIYQQYoPZ2Ie1EMJrQwg/F0L4cAjhN0MIX0fl3xBCiCGEK4vtrwwhfPvL0lkhhBBCNMSX6L8HhE0Og1Zm9g0xxg+GEHbN7NdCCO+NMX44hPBaM/tiM/v4y9tFIYQQQoh7y8Y+rMUYr5rZ1cXnwxDCk2b2GjP7sJl9r5l9o5n9K/jJyMza84KsAGtEsv3LpFfhVFQdePeapTg5PVJiowFyCU5/w6/K5/QtTo/EKYCOfb1oBcFSDn7DvQ96nPKE9j0GzRq1mabcgT7QviW88r7sDXsc6+wfYKyhyzi4lD4TjYW6PZ0St4rpp2qea7gra4No1/GV9nkaw90/m91Fjwjjznqk4MRC+esC5xdbbASwT5iTHUfo+UZz9g6hQ5osSC203fc6or1eo0+6MPCCrS4JHX/HGgsHp18zswDpgdJUdJSWCSZbMs4gl0ruMTkrGLZTQSsavqYT6w7oG/VncLPp64TsgVhP5uApi/eYjFbRjPSRZeZq5HpIw4ZaxXntO1RwarFOU1m34yve7jZz5oQEpFMa+IesuegHpFnD1FCjiqw7WLMGOkK2SImd9jHhdGr3BVFvg66bjX1YQ0IIrzOzzzazXwkhvMXMnokx/kaAh6IY44+8PL0TQgghhLh3bKxm7QVCCDtm9i/M7OvtdJ3lW83sf3hZOyWEEEKIdjZMsxZCKEII/y6E8K8X20+EEH4lhPCREMKPhBB6i+/7i+2PLMpfB3V8y+L73w4h/Fn4/s2L7z4SQvhm+P6ubZyHjX5YCyF07fRB7YdijD9uZp9qZk+Y2W+EED5mZo+b2QdDCK9aUs+7QwjHIYTjp5566l53WwghhNgYnnrqKXvh38DFf+9+ufv0MvB1ZvYkbP99M/veGOMfNLNbZvbVi++/2sxuLb7/3sV+FkL4dDP7cjP7j8zszWb2TxcPgIWZ/RMz+xIz+3Qz+68W++baODMbGwYNpzHO7zezJ2OM32NmFmP8kFkjMlk8sL0xxng9V1eM8a1m9lYzsze+8Y2tz+LF5CyP6X5zAmliWD/SAZ1TIOOgULdrl2bb1D+QQERKpcS+TyVIdVgXhzqZSDOAfbtcX5f4vOGxdShNTHmMeg36XcZriscSdRCJ1o01Y5DuqSKfLFcP/Y79yDAl2JT947B/VA/3B89RojGCagsaHz63W8+Cbocz2kAqoclFX5akJIP+sWTG+YbxOchI2Hg+45xhXU6n9BOqBh+qTtef3LLnt7eHzUl6bPvAlfXAb+tg6lOb7XT9yd3baTy29ue+7zO4GHq3/SBUlDENbwh8nWD6tMSmi8ay2mo+d4/bB5rTMvGf3dMLTSdmlOarf6PZudqmczLl+0rzOdFA5jzi+F8W+G21RV5qA7wu+LhY5Av9mVLKJtJEzurmnB1P/Y0N9WwfOXzYlV3sed+1T1pzId3CE2RmV0fN4O5P/KSYjPwFV2a871DbyfeGJEXaOXjiiSfsxo0b28v3XB+bpFkLITxuZn/OzL7LzP724vniz5jZX1ns8oNm9u1m9nYze8vis5nZj5nZ/7zY/y1m9sMxxomZPRVC+IiZfe5iv4/EGD+6aOuHzewtC519WxtnZpNX1r7ATh+w/kwI4dcX/33py90pIYQQQtxX/CM7fSnxhaf0h8zsdozxhT9Zn7bTFxht8f9PmJktyvcX+9/5nn7T9n2ujTOzsStrMcZftCWvocUYX/fS9EYIIYQQG8iVEMIHYPsdMcZ3vLARQvjzZvZ8jPHXQghf+JL3bk1s7MPay0HvMLOuT+RCAvx6fgWv/XNqJQ4JYsiN0wXNy1z8ifbFUGd7Fp0E7jseV2K5QSHd0cNNQ5x6aXapCTsMn/fr/BwuxDDSbNv3Z3IRLRIo1OqjF+4c5UI2uRRSp+1gmKbd6oDPZafyY4B2K0kqIWzzDOEDtnCJYJnCdhPdo3YrEZ4j7rwvSUmG45ezU4kUuhsM/M4jtEGhcFiXwqL9bjNpPv/yR13Zq7u373z+9yev9fXQRHjm6MKdz0elL5sNIJS46wcoSRcEc5jDxrOd5li6RxnLFiMbFLb5QFsWGh9ON4XniK+TyeWmkK0xkjAobBejdilBkv4qY0lSb9EEGrZfnMV1H76sIZXY1iV/wffo/NVwAzg88bYstw6acOZnvOaqK7s+9tHCm5Nm3ysD7w517XintY04ovscTHdOlYfhcb7/JPf91R2mXl5eujDo9RjjGzPlX2Bmf2ERmRuY2Z6ZfZ+ZXQwhlIuVr8fN7JnF/s+Y2WvN7OkQQmlmF8zsBnz/Avibu31/I9PGmdnkMKgQQgghxLmJMX5LjPHxRSTuy83sZ2OM/7WZ/ZyZ/ReL3d5mjW/rTyy2bVH+szHGuPj+yxdviz5hZm8ws39rZr9qZm9YvPnZW7TxE4vftLVxZrSyJoQQQoi1skkvGLTwTWb2wyGE7zSzf2enLzTa4v/vXrxAcNNOH74sxvibIYQftVNj/srMvjbGWJuZhRD+hpn9tJkVZvbOGONvLmnjzOhhTQghhBCveGKM7zez9y8+f9Satzlxn7GZ/eWW33+Xnb5Ryt+/x8zec5fv79rGedDDGjC5cP60HpjCKbFlgGBzJMEBZTrJ6ohQ88B6McalmyKvhVxan1zf2XaANWLlCC0lqM2iqSineTLzOqztZ/3O48vNgRXUfqJLw5Q7kcVB7e0nqYRwX7a4gO4lliSZ46z7VJS1L/H9QXsV1iNhm7190jFl0nzl/grm88xUw+Yzz2fvkUJF1GgBVh6cXopPHzIjn4iLReOV8/k7H2n/oZn91vajdz6PKD3QPviyzHb8hZGMe2YssYy1rpQFyVk6JHpEvG55PJL8d+3gNc46wnqbdF+oI/wkCdFyWaMSDW271hTnRUEWLdUFP2k7w2Y70jFPZn4eYHmH5tP2VmPh8skj720yq/y5xnRmW6W/CaJObXriJ38Y05ypoL85HWg+s9n9oVl7wJKsvxRIsyaEEEIIscFoZU0IIYQQ60Ura2tFD2tANTz/QqMPO/oyfE2bQ5B1j2w+wCC7Jpf0Hhi1d2Z5C4BsiAJfo6dw3OAGWQIU7eHd2a7vQ+8AMhhQSLCYtK/d83i5sDG1iXYmnHGC23SR4sSOo/13fI66J+2pG/A8JO1Tm3UXnOMpo0L3GMJEMRP+MrMaftuZcsyt+Til88OZGTA8x1kS3H58+Gwy78LzvgztHjojfyCjEcVMMWxFcaK69r/FkNeHjx7zbUInnug/78q2O34QPudC42XZIz+F32qSpditiT+Zk8LfOrtwnfQOyFLmpD27QTJeMJaD274QpQUnlR8Pzg6Blhw8D0uwD5l1aHLRfSXANrfhrttEHkBzDyxAONEITvc5h5f77fqA6dSfg04ulp8pO7jlsxKU1CaG6581HzKdHDU30HDiB7okqxO0dylPXJG7z/H5Wpb1QjwY6GFNCCGEEGsj2H3xNuh9hTRrQgghhBAbjFbWhBBCCLFetLK2VvSwBvSO2rVJDOusppCOJmZGlfVH/Hp+AF3aNCNOYF1DsuQc28tcKhqShLDlBmqZ5mQBwjYNM8jSMtv1ZdMLTaP9m5zbiOrZasonF3zh6JGmP8PnSPdF2jLUt81JG5jTfSTnZNVUVXRY/X3fn1CjfYE/gWj9wjom1pPtPNN0qBj7navtphPzwrfB/cFzzW3itXDysD8wniM4vzgNE9p+zEgPxfqk+VEjpqy7vkMd0hGh5OfR/oHfFw7mF/b/iCv7E3u/47a7ICR6ZHDoysYXmwt5NPGTfUL9m1lTjho1M/PWFKw/onF3elJKN4X3Dp6TfP7qnWaH3kWv05segFCV0lbZ2J/rwNrYFpIUSWQJ4uxC+nRuYSzpFmPzkb+Zhu1G1MfpyiZjby2C82tOmsPquNkuHvInheflwWGjaTsqSM8G9XRIl8tWOe6ezNZLeP0ve8jRQ9ADiR7WhBBCCLFWEm9L8aKQZk0IIYQQYoPRypoQQggh1ocyGKwdPawB7H11FpwOjPUj5GXmy8hnbdiyo3mdHGs7WEOX1VllNGus5UJvoCT9DaUhcv1jTU0unVLS96ad7rEv64BfU+I/RhoftM1K9CPY/hLvuznUy23gvpT1yKoheU2BxIbbQJ1KZC8uuunNtqA/fa/FwT4UpHXr0Bhk045hGZ8fCm/gOel62ZfziGK/qGrCQif4PCOdHOmIJtPmt08evMq3eaHp38WuN7Tq0MW522nyO13pHvn+DZs2ntv1Isyjrr+oDyAtU3Xo9W04luw3yBo29KzrsJ4052tW+3p715qJEG/6iVmAnqzeWaLThWo7NWvomnqSNHVJGqumnXLba812d5obSa/0B/3c4WVfL9wseE7UU9KBYnlF1xuU1SM2kOQ8f3AsO77IXRt0I+twm3iNUwo5hO+HSQo38UCiMKgQQgghxAajlTUhhBBCrBWZ4q4XPawBbElwFjDUmdhqYKSBw5fJK+/tbbjJTyGtJCXQiqTpgSh8gce1ZHwGNyHUQfYFFYTusiFa88dZUn8whQund0rGFq0OMuPDViscdsDQJ4cWMXKWhr9pDAZgq0FtJCllsH+JTUzzRTn2Zbmx5bmFIVO+seLYzbs8sO37Vj5zjxWZ0J1NyCYCw1Z8vjgEVzY7XD3YszYeHfq47Kf0b7jtAUyincIP5l7ZnKSHhj6cutMluwc4ScdHfkJhSDB2KCURXSc96C6f95wGKLHnwRAcza3yuCmbUiPzHp9cqJPnFv62zKSiMjNz9hx0j5l34DO132Vvk6ZituqIY7qZukLaRMkGpYniVH71EHUj7ePDYeuc9IKlMTi2yUOO0ksJ08OaEEIIIdaNVtbWijRrQgghhBAbjFbWhBBCCLFWpFlbL3pYA5IUIBkwPZCZ2WwHXiknbVD/FmhWuCLW5sAO9RanbAG9Fr/yT/oIt2TKbTg9ki+qyW4CUx2xZiWXVov1G04HwvqaM1zUqANJ9Wx+GzV2MaMFZO1bMaZ6IaXTdIcsJUB7xjYj3RM6f2ABMNv29TiLFOoPj2UB2YP4mHEsZ9v+XI4v+zZL6F95zMfcbBcTHlffH/SRKXxmI3dcrAUqRr4/Tr+ZSZ922onmt4dH3u9mVjcVXTv2XguT2nf+cy8+1fyOBKQncHJ7dIEN+v4kVZBu7pOv8vUURTN/joMX9c3JegWvv97tdiuaxCqjQzow1ESS5ql/C6xWjkkLSBo6nE+cQsrvmN92urAtP3ZFpxmfZbdg1KVFEgezfYn/od90FimVn4fVkK4p0MnF5weurIT0aoE1tNyFjLUR3pNr0rPmxj3RBopXLHpYE0IIIcR60craWpFmTQghhBBig9HKGtA7Oqf/hfmldHan52VthLMCdPZhyf2wvZ7kVX12vYftDtlNRHitn5fRc3YBnZrCYZRGYXKxGYPRI37fyZVm3b9/y0877jv2Ybbr2xi9Cl+jJ+uHjG1FklHBvY1PYQ8Op8Am23HUkPWCQ5LF2B8YttknOwwMa/E54PPXg5BlOWqfs70jCjPmQiZUhtk82IKg4HB4gdYUFEbD0B3ZO9Rbvu+96+3WCxz2M8gEEB7xHepCB28d+LDj1b63+fhAeN2dz3tdb92xDTHdSz2frqNPYdHtstEldOjiLODEPzXzBzLr+/g81no08f4OHQgxc6gukUFkQnKYJYXPSSKZgBBgoIwBc/jtUpsRmIoxMxHncz9nu8/58UFpyHyHDvqY/jmD88Ahdwwxn3yKr4ev/wDh+1zWD87wkM3awvM5tHy+W5v3Q+gzSrO2brSyJoQQQgixwWhlTQghhBDrRStra0Ura0IIIYQQG4xW1oDR5Uy6kjPAGgO3TXqDVAOFP/T7upQkS9JNoV4gLQOtySyvs8BUQ6yd6h7RNmi2YsG2DM3YlmSNkdQL9bD9xeQi1ENWGWxxgePO58SND+vZWMYDlimsP8S0MZV/q9/mpF3sTNv/1Iyo/6MOcN+xDxVZP6CusCB7F7Z3QAsOlhFhF1gPxaBUh+vB9FzFmObalGxQYCxZc8V9wHam+17bhRLEXs//8HjqT+Bznd2mfer8cNAMYEUnYY86WMLkGw28zuqRfpNDalz5soMh973pw/6hvz13xqCL3fWTtnPCtixgpzKieQg/Rc2lWWoTMS9wPnHKL/zMNyu/GSFtVD3zfR1PmzHpd/35SrRdeC+jeqzDFy7aKfmy6UX42XiJ9hXnNx8nnC/+Hc9hN158XLn7NV9/94FmLZg0a+tGK2tCCCGEEBuMVtaEEEIIsV6iltbWiVbWhBBCCCE2GK2sAUkanRykG8DURommIPcHRiatTk0aKJfKhzVrmXqy3kCsFzvx5VNIo5XoW2i8SkhLlOg3UO9yhr+42AMNdVicBok967B/Ffcd+7ZEk4XnM0lNBfZbvUPyESMvtbrXnAjWrPBxIklqs+12nQx66M18Fqb0OPG4KvbtAj8rtq8iTQ1rBRGneSQNXf8mp+6C+VORzoo1a/DT4oC8y+DCqbb8D+fkFYapjoal148dgSBxf0pphmgQuplB2Csb/7ZP3bvuyiY7pEuDen/p2LdZj5p9ezt+MKel1+JVnWZf9g3rX2s+sx6q2mJdGsyDol1LyannEis1OJ+dbV9PBd5zk5HX9LEMrYPzgrRmiS51fvfPpzs3H1nTl/M5S/oD9wMeS54S8xU1tAynaRMPJnpYE0IIIcRa0QsG60VhUCGEEEKIDUYra0DvaPU/BXiZf3Kp3d7BWSjQcjzbX/QO7l6nGaWQ4jBo3d53DgGgFcXcR36SlFIYaoy8rF9QeG6IIVPat4fvpnMHaV8IKSdtQPagwmcASsDjzoVIOBSd2E+A1UjYpX3hCppT2HNwi2OUzcfqCoW/Kgwh520QhtebzneP/cnFvo+XWdG4MKgvQpuRXPiU2+RQdBfsVXh8uJ7uYXu4JwmrwaFx2iqMVYUb/mKcURq0GmJTxzO/7zOx8XcYkeXGnCbUTrfRKPRowC6UjbbgoPQXxmPlvtv+Cxc+eOdzn+JoHz+6dOczhm/NzJ7pX3Dbk71mflUP+7m2fwWOk8N6lJYJD4VD9y7dFIdIyeKCU1W5euDkziuyIKG5N4fTkL2maZtDiWhtMtvlG4DfxFBnQSnc8B6US5vH9Sa2OjC282UOUvdDVDSaTHHXjFbWhBBCCCE2GK2sCSGEEGKtJC91iBeFVtaEEEIIITYYrawBVf/8YgDU+CR2CpBKiC0a2A4DdRjlKBP0Z1lTxrojsVrAPgQWIPlNlxqKU2WRNg8lNol+JJMqi+0wylHz45zOicvmpJNx457RsySwhg7aSVKJwb48HgzqAXkeZG0GiOkupB2ilFYuvROnbCKbFk511gbbeuS0QpxSCjVsznrGzALpiNDaI7Gb4TsVzieypogDmD8X/GQryXvheNyctKr2jU56TaPTmtJ60QWHlhuDwrdZwEU1pJMyoMk/gAvlM3eedmWP9g+sjct977nz1MHlO5+v3d5xZfWg3WakJu3ZfJr5ez60a9YSoHhO56vsNf0JpKHN2SDxPS+5bkAnl00FRb8rOT0X7Ms2NqhZDcn1RvtmNMfYheRenrnnbDTSrK0VrawJIYQQQmwwWlkTQgghxFqRz9p60cqaEEIIIcQGo5U1YN5dvs8dWL8F+p/Epwv1bEu8eNBvpyJNVtFkrUn80HLpVHJ6rTBvT+dk5lMbsY6IdRe9o6ZiTK1kxume8n9yobaqPPZik/7tZoCKUX4McCxZP+L0Y0v0bC61EY0Pppgqyfctd645hVSnnsNn1ohx2iqsk7z4sue93fsqmYfQZqJZK7g/4K9HmiOUaHF/eCxd33iKkOYID7s89nNthvqpof9hoIpr0KlNQ/vtsJr7NnqFv1kUcHDj2pc9efzYnc8P9w5d2Q5e1GZ2e974sNV0k9kCUd+Vrq+HtW+Xe43B3ceGD/n+PPMqayNSijL0PYsnZ/jngs8feh6OKD3YGG96/ph77RZ6FsY8D2Prvgxqz9jfL0ltBt1j/7iIukvW0LE/IR42HxfuS9rOnE52Y4mmRO5rRitrQgghhBAbjFbWhBBCCLFWpFlbL3pYA84yuXjXCsIHvGztwj30w2LGNTVr3JNLVIKvfvPb95wipf3tfBdGq8g6hO0vLBe9PMN4nWlsMfUKhVNdiHRMIdwJhfkwNQ2FDrzNCNVD4ZXBzSbEFDs+xDXbhv4tCU9gaDGxv8hYmxidk+5JxiYG6sX0X2ZmZUFjWeNnDnU2n5dZfGB6rGJCYVlsg8KepXebsDlanyyxZcDzWXKaKuh8RTYRLuRmZv2Hmtg1h0gnM0jZVPnf7dOEmlTNvmXhTwqmU3rmxKeFenTow5kPl832L99+vbXxlx/+gNvu0aT5tMEn73x+4473lHl39fmt9V4/2nbbx6PmtzXHFWEzku1JpHF2IXeO5+C4J/KA9vkUaT7xvcun52uvB1OimZlVW34brwW+NzhJSfutPNk3ve/fvW+nHcinaRMPBnpYE0IIIcR60craWpFmTQghhBBig9HDmhBCCCHEBqMwKNA7WH3dlnUX87IREsw57VCm2vLEFw4h1VLvyDcy9zKQlfuXS/2U07bxvknKFtJWTUG/NblImp5LkHLneW7Eb862Onf9bGZ28qpm561n/e/QIsXMlqSmabfuYOZdHMx2zQpTjP2AdWZgbTJk0Rq2x234zm9fbTR03EY9aCbJ+CGvr+se8b5gy8CaPh5LYF5kdDsZ25OKNHSzXb+v07At0f/gn5nTS75RtODp3iZbD9p3crMRm05KX9bpN+OVaLIy13QgfVtVt1+4M7qoPzJ89M7nk8rfSLbKRqRV0EDvdrwFyOu61+98/gOlt/X4o5/apLH62OyyK/t/Dv+w2/7dw0eavt244vs+A20g6cdi6U9YxDlNQAR3GgAAIABJREFU4xzAaiXJtET1VtvNHrMd1qxm9JJkh9E9aj6fPJavJ5duCuWJqf2N33b3oNz8ydyv7xeC6QWDdaOVNSGEEEKIDUYra0IIIYRYHzHKFHfN6GENOHnk/AuN7NyOYNSIl8anuxQa2mm2efnbhSR5qZyui2zIFMOD5E7PoU2EHee7J3Mqb+qqhr4DNYTA2BGfQwIlZCYYXvfxi7rfh/3879KQJIRXOu3vu3OYkW0ssvtmHMzZdgS3R5fIEf8Y7S/ymRmme81lO6dQJ553DnFXFHrF0H2S3SAXpsmEKNMsIKv7DMzANaKgsBVv45iUJ76N6QUIlV1eFuOGz1WntYhjXHXp5zd2b07ZDsad9j6Mpn7A3j9/w53Pzx/suLKtfhOP+w+7j7uySyX5TwCzeMttD8Dm4zXlbVf2pp3fc9tXIF54e+LTGxyMm2tx1PEhW05OAc4d1ulSGBQsQSJNLjyXZmYRs1OQlUgqP4HMGgMqg/4UU45f+k2c03PKkoBzL7lfn8XqKFMW+V4u644HEj2sCSGEEGKtSLO2XqRZE0IIIYTYYLSyJoQQQoj1opW1taKHtfPCMofcSKJGbImEJqf/wWXQpJ5cep6M7QEvVXf8W/42udT8eOYlNFb3/cLs8GbTaGLzASIWfsU9R026L29Jwno70reATi3RUjndni9i3R7q+krS6UWnR/QHltOI8XzBekJkzRrpeHbaBYn42xmlieL+4XGyJsz/kNqg/kSwM2FNJupt+Lic3s+8LcKy+Y1zukNWC13I4DRPLCRI5wRapsiC6FlzMJguycxsTrfOeQEHSqmN5r3mYDgN06ygsYTNkxs+79EIrESeukI2GqQRfVW5f+fzFl3U1+pGHPhQx+f8ehVp2GoY6Md3XuPKTgbNRXVr4vt6+8Tr20aTZt8Op60CqhlpXXs8+Vp/6vVs5udekuIKKmJ7ENa+1X3Q1GW0wImOmLW5GZy+NLHq4Ott5WrFKwg9rAkhhBBirUiztl6kWRNCCCGE2GC0siaEEEKI9RHNbK6ltXWihzWAUz9lId1ADfog1jXgcjBruUr21ILyyYX29Clpuiu/7TzRMhqHukdtkM6iGOcMt7gPKCSiXc/p21VtkcYHfOh6R6SB4hRJUHHsdNqKkuMIdbtmDFM0mZlNLjTb7EPXv+1FLCVUy+NezCD9FWnmirGvZ/sqNJTRyU32/Nglup1MOi7fN7/Ncw39rjqk1+oeo96H9GM07qibS1LsZFL58PWGWrjegS+bbdN4RdCTFTwRoG8j1teRlhJPLtsIgu6yQ55ekTRZNaS1ClNqA3RzHz++5PtDA/S5241f2mf2vMnY1arRsz1SeK3Z78x82qprcCIeG+y7shkM/KuGh67s+nDbbX/8oOnvds9fKCezRs+2f+y1bjwNInqylXydtp+/RJsL11hNetZ5l09g87E8pvMH10Jk7asfymzqPlfnkrSCCi8+mOhhTQghhBDrRQ+Va0WaNSGEEEKIDUYra8iLeHTtQkgOrQxOv2g+8hI27xtg5+ENH/6ad9stEnLWBkkbsASPqZ3M0pAXpyxy9ST2ChAuJMuNCqItnM6JLTcwDJmcEviiGlAKoCH7RrS3iWUcdkjqBYuSukthkM7dP5uZGY/7rBmw7ogGz80RspcoObwTWstwm9voHFDIDY6LQ5LOciNJscX7Yn/s3KC9SjKUPFzO4oasDaAeDo1Fso3oHjYtzSms5vrDKYnoQsZmQk1txvYyjtxNTxrfiOKErV+aip492HVlhxOf7+5H4ufe+fzRvd93Za/vP3fn8x/pXvdtmL8YtkK7p0sBCbm2yful0/fjczRs+nex5/PE3S6a0OfJxPtmVGO+xpvPsaRJMeFrAfalCVVAiHJ8hVJIUagTrT04bVUuHM+4MGgmPeCyeu4XFK5dL1pZE0IIIYTYYPSwJoQQQgixwSgMKoQQQoj1whlBxItCD2sA2kKcFZ8GyZdx+iKk9lIT1wfW26AspJjkdV9ey8SaMEi1wjYRZH8x3UVxkN+3R3q3recbcUcs/IGhPoo1T6yJQquK7r5//31wZa+1rzk41RK2mWgMeRpAObfZPW4+s96PdWA4BjPS15VokcI3ucAaOhRI0a5wjpK0VRn9YZZ2RxQz89outsbIvRHG82Dev/t+d6sHtZS9A9IqQX9yNjpmfrw4/RWOX6rTo/7AiWDrlTmeP26fzsl81FTc3aexhDl8dMlbXEyG/lb+e50mHdWYvCk+WH7Knc+ft/dRV/a6ntewYbqpCQkSKxiEIeVs2iu9Lu3K4OjO553S71vCyZzN/cB+dHDBbbtrirWBiZUHlNH1PwNnkfKINGp8rp0uNREdw+f235nRnGENJmrWEishE0IPa0IIIYRYL3rBYL1IsyaEEEIIscFoZQ15EX8JYOiF6ymP28sS+wtguufXw3tgvcAWAIwLi3K4AF4/r+hVdHbhd1kTOGMBOX/X/WYtn0MAPjzX3gYz79EUxSQJ9LvOjOMQ2Lf2kFISYqMwSPew+SIGf9DVsP09e852gGPC/fFh0NYqT4vBKoOPGW0rJru+bxzCjZmxdPstyUaB55bbcJkZeALRgVYQ9ufrgkO66Obf26cyHOchW3dQBgOY/9w7DIvy+CTXX+ZyrKz9uuVw6hwyW/RvU0VwmONH/HUxI8nEzaKJ842mfs4eHjUh1KcfvejKHhocu+0STkSHTsocB5ruBWXH71vApLnc9W104MCez90QjeYFZcuIPf5t+3xykhK657E0BZc0CrIS6eTsOMhWJ8IOJWU3wKHk37FM5L4gmkxx14xW1oQQQgghNhitrAkhhBBibQRLV8PFi0Mra0IIIYQQG4xW1oDewep/CaTyG0gFlUkXwrqG3iFpO0C7NHrIV4Qpk5a9zs3aHNcHqKeYsK7C75vTUvGxTEEj5Sw/zKzyTgOt/THz+o3JFS8gGT/UrkNhHQhqP3i8UAfC9SQpk/AvRPrzBtvg1/q3PkkpeKqmofCYH5DypOkg69D4L9T+tRMopHHeadL1dGb+QFj7MtuCdFOFr4fTheXA80eODV7z6DMJGbk0uOuPz0HMbE8ukY4IrDNYz8b2PN0ja6fd/cbpPs18f9M0bNA3tishsVuE1FlT71rhjqszJj0kaeHwsq35mHtNRUdTf1LmdAPowEU+qcrWssukdZv1/cndnzYDdqHb7tHCWrcOp5AagOXOgC7qyBo22JfmWve4KTt63JclujTQtCXzMpNuLk0JCGnZivZ/a5IVqbzUc3PJyw9fMkIIrzWzd5nZo3Y6eu+IMX5fCOGymf2Imb3OzD5mZl8WY7wVQghm9n1m9qVmdmJmXxlj/OCirreZ2d9dVP2dMcYfXHz/x8zsB8xsaGbvMbOvizHGtjbOcxxaWRNCCCHEK5XKzL4hxvjpZvYmM/vaEMKnm9k3m9n7YoxvMLP3LbbNzL7EzN6w+O+vmdnbzcwWD17fZmafZ2afa2bfFkK4tPjN283sa+B3b15839bGmdHDmhBCCCHWSojxJflvGTHGqy+sjMUYD83sSTN7jZm9xcx+cLHbD5rZX1x8fouZvSue8stmdjGE8JiZ/Vkze2+M8eZidey9ZvbmRdlejPGXY4zRTlfxsK67tXFm9LAmhBBCiFc8IYTXmdlnm9mvmNmjMcari6Jn7TRManb6IPcJ+NnTi+9y3z99l+8t08aZkWYNGD18/nRTqCtgfVRO1zC+4L+YN1liEk1YB2Qhie8T6ZHq7mrH0qlZH0Xl4JvFKa1YW9XbBz+yDqWb6jWikWW+QcWsETuUI3+gw+chHQ+lu0p0aTjuiY4QtW/59E5z0N+wBxLCaauqHW8+he3M6fzMu01nQ+0PhMd59FjjoVUP2tM7lWPOaeM3cQ5FTvk1wd+y0Vr7Zhi1n1vWa3VoDFB7xucy0fHBvO0d+H1r8CobX8mnEnL6ssy0TK4LTiGHtn1s6Ve1H1dB2/1rzVwrT3wZ9q9gny5KlVWMYO5d9/NwArqvaw/7st0dLzrsgIZsMuu2lrHWbU43usNZcz+4XvqTsF022s69rj+wetvPYUwpFSi9VOT0apgG7bIv2y/b/+njcztH374BTQTUty3xa3R1ki+d0xgv06i9iH+mXjJeWp+1KyGED8D2O2KM7+CdQgg7ZvYvzOzrY4wHAe7XC33ZPe3xi21DD2tCCCGEuF+5HmN8Y26HEELXTh/UfijG+OOLr58LITwWY7y6CGU+v/j+GTN7Lfz88cV3z5jZF9L37198//hd9s+1cWYUBhVCCCHEGomnb9G/FP8tYfF25/eb2ZMxxu+Bop8ws7ctPr/NzP4VfP9XwylvMrP9RSjzp83si0MIlxYvFnyxmf30ouwghPCmRVt/leq6WxtnRitrawJtCAJHpmCJO9IqaJK6B7Y5VIaRhTCnV9wpRDkHK4bkFXIXsuHO+nrGFyE8R33F19/NzAbPNyGUcuQtATANUWqjQf3D1FQzv7PrA4c9KKSLh52kcDmDYSOev2JCx3yr6R/ab5il6abc9lkMI2l8ZjsYMm1P78TzJxtaTMJ8WEahKLb5gNRZ3Gb3qP39fa4H7V3OEixIwqsw15JUQj26pnJ3QLTcoHoKTocF23y9uXBmYv1CTUI4szzJhZTpOGg+cZgN6e43nZj0/I77ZAHSKZsDY3uQDthPRAqD1rTNKa9cPXCy2UokUqjT0PKCJknRpfsBlM9Lf8LwUgiVPykzvicC8x6fE7ymaQz4eitw1/Z7+30R5ry/+AIze6uZfSiE8OuL777VzL7bzH40hPDVZvb7ZvZli7L32Kltx0fs1Lrjq8zMYow3QwjfYWa/utjv78UYby4+/3VrrDt+cvGfZdo4M3pYE0IIIcRaubcKsNWJMf6itT8Cf9Fd9o9m9rUtdb3TzN55l+8/YGafcZfvb9ytjfOgMKgQQgghxAajhzUhhBBCiA1GYVCAX4fPQouqqD1JNGL4syWvd+P2bKd9Hbnqkx6JtDhOW0V9rUArVFPmF05ThfYYieaJdXLdRpSRaIHOsCSOWqZ6y2tdsL9paiPOCdR8LLjM/dBv8nF1bzcTY3rJ5xmaXWz6x7q44XPsr9B85DRaxbgZXLQuMTMLtd8eXptBGZ0D6MNsL38SUNfI89Jpvdiqg9rElGQ1TX48LjPvnzInPVIn12bm9LHuy6WbohRyNaW8mu6BtpOHC/rAWsVEE4ZjyR2ELxI7BzquGqYX6+1QF5ekrWINFGirWGcVYHyKEaWtmpBmDKqdb/kbAKZMOiE922TiB7OuwJKEBH898C+ZzFjEZ+3wdUs+KAX0bz73O8/6zXF3dmkwL/lN1OrFiZ/DNWgHOX1ate233fmjNFp4b+W5nktfuNEokfta0cqaEEIIIcQGo5U1IYQQQqyPeJe3/MWLQg9rAFtRnIWiMeFOQok5x37OIIDhlt6x3xcjTBxyy9lzMHgRlaP2kFbSP7YZobDo9GITQpnukG0FhG1zYWKzfChvtgU2GmMKuZHLPZ4HPgdo71ANqa+cXaDX9CGWFDbKZEkIVSacGSn+jPYuHY7v0LnGsFpsnz924K3YyxO/XW01xzW9mHN0pxNPY+nGhEM4UFYNKRS1zaH75vOyN8lw3DGUaWbmLqmkP367e9QuF3D1suUG26Kg3Uwmg0liLxPbx4AzIeCY9PapPzSdyhGG5zgjB3zmsCzZX7g+zLlDWA+FuGnbIFx4PPSh1rrXdGJW+98VJ3Rt7jWDO9jycWK2DynLZt+q8vUGCMV+zqd8wpU9e7znto/BdmS379v8xPNNzDR80kskeLisA3KBAYem8V5lQiToYU0IIYQQ60WatbUizZoQQgghxAajlTUhhBBCrBctrK0VPawB0wvnz/MRXSoRX9Y9bE83Nd0hPQmkd2INVP9281vWujGcVsf1FdZTO17GZOXICyZQm8NaimJKr+BfG8G+Q1c2L9otLlhP1rvVWF70bvg2695u03fSqLFWKHe3mG03g7AsLVOur5hGi/uTaM0g30zN1iswaVC/YmZmpJOb95rtekhaHOhfMaZz2ff74hwqWKs4y6SJIpsItCzg4+rAsfBc61I6pQlef2wlMvHbOBf7t9ptNWrSyQXS30W04KBhxzZZx5imTMNr05fh+PAY8IFi+WDfn4Ni0mxXQ3/r5jlcgK0NZVpy95UO6QarHb8vjmU4JNuKXThQsu7gFGlh1szZ0ZEX2E27TSOsO0v0rTBcs6kfg6Kk1HRwr90Z+glU7jQ5wI5mvj87Pb/vleHRnc8Xet6O54m95gb1/qNPs/MS6va5r/RTwkwPa0IIIYRYM2fJvyyWI82aEEIIIcQGo5U1IYQQQqwXraytFT2sAUkqmAysS3OaNVqvnIFtT++TVBGllKkhNczkMvlHoY3PhDvQ3tdqq70skIammJKvEWjf+LjCFvmcnYAurdvuR4ZeaWZm25/0WpMIaaswhZWZWTVofturWGdFeqSM9sx5sMW89q0zbgapS/t2QDfTmZJmhnzW5r32vDHo9ca6KhatuLQ13AboASfkncZ+aTk/Jz5/vpB915qPnJYJzwlqrsy8F5iZ2byE817khTq9w6Yu9mRDfVnNKZtI6zm5iNrF9vZQL3pXMsUoXUx0jZwKDjR23SM/n7oHUyjzF+61z/QaUef7RuerbORaSYq96oQ0Y5l/IU5CZo7QDRJ1fDPSWVZoSFb5Ort0n4swL+spp36i+xF4qR2zzxpMmkHpx/LRrUO3vVuSYLKF/mWf/441dThH5mNfhreVwAZteuYRpoc1IYQQQqyTaMlLJuLFIc2aEEIIIcQGo5U1oHew+nozh0HnkEEll05p9+P5JfV60CzXdyp/elzYKhOGZdj2wP/Qb3KIEtNRLUuDgmE+Ti2EIVy2fpjtULgOUs7UPT+Y44cg3dTU18MhSneSOFNO3X5cHBoO82aH2bZPKTO+3PS9f8s30j/yA1/MmlhQ99in3PF2Kv44Bk+Rfwn+riBbj70mHDa76PvambKHA8ZeyMJhO3Nr4HRYWERhvnLUDGZNodV532/3jlb/U/z40fYJX0I0iutkSxt3zWcir/Mld0q03EjC8dBVTufGlht43VQkMwhVe5yWr3+3zdfbNhS9iBBbMcpdXxQGBYlJTXKAOUgbOASItkdmZnOwsam3+YT57ZNbQ2sjdJt5cenh51v3MzPbnw2y5S+AYVczs9gleQdm7qPjjFZAGVsArdT8RhEs6m3QNXMfTgMhhBBCiAcHPawJIYQQQmwwCoMKIYQQYr0oDLpWNvZhLYTwWjN7l5k9aqfKqnfEGL9vUfY3zexrzaw2s38TY/zGEMIXmtlXxhi/8rxtVu0Sh+X9BXlCmlKm4fYf7LcXGtsyUJkTPbT/Lte3ZXA9JaQsYksJtkHo7jc+AHXf+4VMd2ARl4Qyg+vsH9C0OR/4Kdo7QI8U/7NIaaxiRlvld/SbrLWIoJPhVFnYRmJX0itb953tsLVJu1Zp3n24reeJLUMOHp+cSCunu8ylw2HtFGqMIqXN4n1nYF+Sbd+8/UTSPfjt+IKvKLmmVh2/JVYieC1gCjIzP2dYj8j77jzTbG897Q+ys99+0Be3r7SW8ZxFXeqExqeme2DuPLBm1DdK+4JmjS1batCoJvcf74bh7tH1hL2E6Ld7jdVJ6PiKO51mnI8p3dStCaVlg/vVpX77OZhOvKawrs4QuMJ7It23Qv8MN3DximVjH9bMrDKzb4gxfjCEsGtmvxZCeK+dPry9xcw+K8Y4CSE88rL2UgghhBAeraytlY19WIsxXjWzq4vPhyGEJ83sNWb2NWb23THGyaLshVd5pma2/3L0VQghhBDiXrGxD2tICOF1ZvbZZvYrZvYPzexPhhC+y8zGZvZ3Yoy/GmP8JTP7pRfVzosw8av74PSfsdHoHub/2sCwA4dlMXzA4ZQcudfz07CD/2K2jWFHtmXgV8ybzndmvp4u7Mu2J2HkU0eEuln2R9sMM7PypBmUcsJhWSPaDxztOXh8ktAYdKF74PtagB1GZ0wZDGb06n5/tcuNxwfn1mn/oP1kDJrtus+h1vaJmWTkyGR4YLCdGdspZNz7OxQCDHmFgKPgTAAAXkNzPuRM5C53nXC4Mu1P+74dOCfJdUub5Qnse+jlAeGE5ALAZK895Nah6wLtQ6pB3kokZrI65DK+8H0F9y3Gvg3MopDUyeFUyGhQHtDJZTulbZzDZBcC1/jVw11X1i38gA27zc3iMHgbD8yEMCe7kpgJg4YOzwP4LTvszO7D9wBlirt2Nv5hLYSwY2b/wsy+PsZ4EEIozeyymb3JzP64mf1oCOH1MWrNVQghhBCvPDb6kT2E0LXTB7UfijH++OLrp83sx+Mp/9ZOn9/b1bWn9bw7hHAcQjh+6qmn7m2nhRBCiA3iqaeeshf+DVz89+573WaI8SX570FhYx/WQgjBzL7fzJ6MMX4PFP1LM/vTi33+kJn1zOx6rq4Y41tjjNsxxu0nnnjiXnVZCCGE2DieeOIJe+HfwMV/b325+yTOxiaHQb/AzN5qZh8KIfz64rtvNbN3mtk7Qwj/wU5fKnjbukKg2bRMBGt8KpAyzDM6j+5JvqsorUj0P7gfPWZzCiek3motSqwMOjPWR2W0ZjTsmG6KUwnl0vXMt/yABXiVf072FzkNVDEhjVhmTDo1CCo43RRp1jrHY/js95090uhdOpWvKJz4CYXapfKEUtOgRowsUXr7U2uF5XV9SFtDdhO5eZmm3Fr9knLngSYJHlcxIvEUz6dttHdZYruSueRRu1gmVh1+u0aNVqbJ/mHePiE31zLSyQTUzcUupZvrtZ9A1jUic+p6D85tQVOrc5sFnK3V2uRCeyGPs9dWUootuHd2qD+si0VNHc9v7uvkZiOCjCxIhKnGZhzbW/66PZ43O9843HZlzk2pXn3tI075Bp7bmbZXdCR62XmAVr1eCjb2YS3G+IvWPi2/4qXsixBCCCHEy8XGPqwJIYQQ4n4kamVtzWysZk0IIYQQQmhlzdE7Wt0YhvVbmHol0VIA/dt57QtKK4b02kQ9gNRGiV6j/a+Y7qi1aKnPGsIeTMXY71sPGr3UdMf7Grm0Nqz32+35PoFmi1PlVEPwWWK/Jkpjw2lbkBmmseKhZF+q66AnG3s9S++ZW80G/yWZ2R48lzHjI9ivzVVZ+HpQR8hed6FefX6j9i1pk/VZsMmphI4fa3RWEz7PLI+C857zPDMzm263/52JOqwuzWeeT/198PSr2scH5/bdWDUVXKIjpP44jWjXtxnL9j4Mb2b0mny9ZTwha3+Ksp6RubR6DGpsC/ZnnDf92bnKJmN+3wp8H6thXl83fLZplOcTHufWH/CqtcnMawNHk+Ze0e21H3QknzXj7dheFuAflERfV9yHK1TRtLK2ZrSyJoQQQgixwWhlTQghhBDrRRkM1ooe1oDxxRex0AgrvrkQztHjS4YcfsthBrT9wDRHZnnrgCR9EpZRhI3tL7A//Bp997oPH7g+RP+Ku4Uu7OeLBr/9rK9n1uScCQOfg2h68dWt9XDYMyl3/WkvSlIvoYXCvP0OFLcHrWVm3tpkeolyK7mxI0uS6ep3PbTcKMY0gbjvuMlh9W4m/kVF/rz7st5hZryoTUyZlKSJInautoejqiGmv/LXNNui4Lku6vbrhCNaTIQJlTPq7B75frNFCl6rxe0j38YRm0xAvYeX2vtGfS9h3MeX/f2IxytnuYNpq5aS2RXva7Mhh9g5hxT87jh/vU+uzFvL8PofX73gy0q6zw2b+1GH00S11GlmafgSwr1hyscFZVwRp7Eawj2adv39r/qm9v6J+xqFQYUQQgghNhitrAkhhBBirTxIqaBeCrSyJoQQQgixwWhlDcil40nIvJ6f02f0b+f1R/gq/2yLND27zfbgNr/y315nzFhYsJ4tSTMEfx0lWrzK69tCp12308mkL5pf3qUv4CNpp+pe00bFKXZI39Lbb9c15dIpJbom1wfyNgCmDw1by8y8Rqse+r+TUPfFY5Ubu2Lkj7EzOYOfAjC97PV2Z5ozGa1X//astYzbmG6Djo+vRc4WlBmT7lEzL5O0XqSTy9nszLtwjpYsEuCY5K7FJJUZnS9n3XFw6PtzRLnOgGqLbD6g6zxWBdiZbD3vz8/kAs3vMjMPMi5EPAYdaCa34oLXt1leaxY4lRjt2r/evhaB48OSUNbp4Qj1B+3z+Uxpxdi6I+voREc2bTr40b/1Das3+lKjlbW1opU1IYQQQogNRitrQgghhFgf0cwyLgTi7Ohh7aUAltmH1zLL6ObDoMVFf3owJBBpTTQJvSyxGrhTD1kkcDglZ0NS3mxvJBdGS/btt8efXSjKzGrIohBp9o4vcgil2WHruakry7nVJ6Gq43FTNsuFGb1dSdY6hMcV9t3+nZu+aJqZMxT6Pcu4zy9s3fncOYM9yKpzK22Qq2GLkma7phB34U+fjS+137q6x01D/Zs+40QuVDWnLAWYAYKzQWTJtJGz2DEzMwwpZ+ZaoMwVbLnh26QvLrT7ovQPfOdHVyA8P/NlOVsPvm+4+1XmwliWuSKXUYEZ3MxIL+A+Mr1MhWS5EU6aRscDHyaeYzhzkg9UYZaCJIS7zBvG7bz6ruKVgx7WhBBCCLFGlMh93UizJoQQQgixwWhlTQghhBDrRStra0UPa8Cv/5O/7bb/6Nd+z1rq7R80epfxlbw/CL7C3T0ka4yzZHdZUdfAdRYjTjfV3mh1acttl7dHdz7PM6/87334lu/DYXsanQ5pRLqPN/YYsyXijWoAVhkDFru0i19Ys1YcwTkraDEa9u3dGLmiyZVh676sMURNz+wRsjLJ8WJuiKCfytlvJD9j4fCKfYjJ2PnNctx8Md3152dwM+tt0Mr0UrvVyjKK8eo6NacnzdiBJG3Q1A91c5yxbj/m+rPe4LZZk4nMqT+zXbjtL+nq7tNNH45eRdcMjMXtAAAPKklEQVRM7rds77JiOr4ETv2WiQWVY7+96j2ww6mfcprDT1JKORjKpWEqHIOKrDuW/balHvHgoIc1IYQQQqwXraytFWnWhBBCCCE2GK2sCSGEEGJ9yGdt7ehhLQNq2Jbp11CH0SFbLPT0OQvTnbPkv/LsPNOuYUESfdaYDIDOuZTNfl+ov4ufuOr3zfVv4DUi/duNKVKxxNdoXUT0tGIZE8p4yLst8ZrCVDk07sPnyA8s2yGop6Y269V1VvN+c/knerKzsOIU4b5xm6gR2/vY+fWaqJeMGe3kPWOZlxrAab6GH2/mQeSUbVuNRnT0UN9WhdM7laMzeMa5DpzB5IzTg9XtZdlquEm8hnJebmZWbWd8IKGoPD6/V+Fs7yz+e+BZx3LEc54S8eCghzUhhBBCrJFoFvUEuk6kWRNCCCGE2GC0srYibOuR40/8pX947nYwhFPvcPqk1evJveLu8ZVyeqezhCzmFxuril/4N9/oyr7kU/9Os3GF87u0E3s+FFxtNf2r+qv/rdE9zKf5QjhEyWGkVcv6zx657Z/60He27vvmT/uWFXtH7XNKoozdQ8LDF5qfDVcfS56HZ4j6Od7389/aWvaFb/77vs0z1NupwCLlLGm0qJHcuWXmENLl8OVZ+Kn/8F2tZX/yLee7r0Rjmwjo3xn6uvo9xZJJ4q6pMwxPQXYcv/ndf+vO5zd+1fmtlTC8OnqE7oFniPaG+RkmP0xFtgsJ53OmEQ8QelgTQgghxHqRdcdaURhUCCGEEGKD0cqaEEIIIdaHrDvWjh7W7gH9W6vro3IMbpzfdiDRnrXuuOSCOkMXfuYX/257M3uQmuosOpmen6LjC42gpF7dvcCG19rLWJuUaJVeguX8cNSecitHPPEpruJo1LJnSlE1Qpn69Y+eq/17xcnDq9+a2MKhe9KIgwbXyMLmDP+AxN7qgQc/Z+6NXUj3qFq+012o6TjGD4Flyz2KrSQpyc7Jr/5gu1Z463kajzMMew1616PXepFaPbw31zt2j9PNCbEMPawJIYQQYr1Is7ZWpFkTQgghhNhgtLJ2D9h/3WD5Tgs4hBPq5oveMa2Vn+EPlXO7lN8j5r/x5J3PoTxDiGs4dNt7O2+487karv6OPYd7zhSGOOdfiDmrDqZ67ZVztYHzxczM5qsfWH1ezw3+HW6u6a/p7avnlxLUg+ZkH7/GX4tnsb/ZfvacWSUymSteDN1r5wuVd0s/+cvjXrNxhjkwvjxcvtML1fI0vAeLLPuv97Y+ybWwIv1bfjveXn1MJuBClIRPuTtrGoPf+nt/a/lOm4BW1taKVtaEEEIIITYYrawJIYQQYo1EraytGa2sCSGEEEJsMFpZuwfMu8v3aaMza/QS84JSkpzhD5X3/9Q33fnMqXvQvuAsKXWYnFVHjlitbkEQZl67FKpGDFNM741Fgp1T7ncWjRoz2znfpMHUSmZmnenm5q05y3wpRuezqTilua1N97yu8V5ZVZyXn//Jb1q+04JwllRiCOkYy4PzTfDH3u9tYa5+YXvauPOmT8pZdSwjFue7H3Sm578Hbl1tPh++Pr+v0/Gdocn7RqOGRDuTflYsZ8NuXUKI/7+9e4+RqyzjOP799SJ3KooS0mK6aoWUJlwCVQER2EJqrBAREQkoiIEYqYoYgxgloQkSIGAjGmxKLUgBaZFISO0NKoWCDbRFCi0gYRvagpbWtFxEoN3HP84pnR1mZue2M2fm/D7JZs+cy3veeTpn+877Puc9ZmZmhdyzZmZmZs3lnLWmcs+amZmZWYa5Z20IrJoxMO/i6ItvrPrYSnlp9c7XVJi/NphJJwzMu6o3L63Y4v657y+fOuzr1R84vGgutTrnBlu6+Iq6jsu6GFY851nB6xq+2T748JVlt/V+8ZqKxy555OdVn6cVhr23O1emeL6vWnLWHlxaPibtsODZ3f8Okw9vfd0WPjWt6n2P/Xb1f/PqzVP7x28G5nIdMfWm6g9uUqfPU7+rr+6H/XJgXTsyL20w7llrKvesmZmZmWWYG2tmZmZmGeZh0Kxpc89xs4Y9KykcEoXKw6IqHgbt0q8Xf1u0e5j2pNOurf7ABmYvqfbfutIQ6VBZsnxg3SYdX/20KCqcmqb4EUQjygdsxR2XV32OjlLvY8Ua0MgUHPVqaFi0xbpy2HOAGDBFlDWuS//rMzMzM+sObqyZmZlZ8wRE9LfkpxqSJkt6XtKLkjrybjM31szMzKwrSRoO/Bb4EjAe+Kak8e2tVe2cs9YCxVN5FCqe1qPaxz89NvcnDdUpSyrmsI0c+BHtH1H++0W3TM9RmL8GlXPYiqdzKXxdPA1MK/IRh0pNOWwF11Dx47i65bopnMajlMKpPaKGnLVapufIusIctuL8tVoes1fv9By5l52ctYnAixHxEoCku4EzgLVtrVWN3LNmZmZm3Wo0sKHg9cZ0XUdxz5qZmZk1V+smxT1Q0pMFr2dExIxWnbxV3Fhrs0pDpHlVPCyad8XDovbBYVEbaLBh0rwpntbDusqWiDimwvZNwCEFr8ek6zqKG2tmZmbWPBHQX92dmi3wBDBOUg9JI+0c4Nz2Vql2bqyZmZlZV4qIHZIuBRYCw4FZEfFsm6tVMzfWzMzMrLky9CD3iJgPzG93PRqRu8ba+vXrOeaYSsPbtevr66Onp6epZZrjOhQc06HhuDafY9o8fX192Wk5WV1y11jbsmVL0x+UJ+mtrVu37tPscvPOcW0+x3RoOK7N55h2tshOzlpX8DxrZmZmZhmWu541s5z7c7sr0KUcV7P3RaZy1rqBe9aaICLcVT8EHNfmi4jz212HbuS4Np+vf7Pdct9Yk3SBpCntroeZmZlZKbkaBpW0HngD2AnsKJj1+GxJk4F/R8Q0SXsCy4A9SGI0LyKuqlSGpAuAk4G3gVeBkcAE4OyIeDfdZzjwJLApIqZIOgS4HTgICJLHZEyXdC5wUnqeKyPinSELShsNEucPAzNJYhjAd4AechCXRgwS08nAdJK5hmZGxLV5+aw1qty1WrC9+Np2XKsgaRYwBdgcERMK1l8GfJck1muAC4EzcUw7Q5ClB7l3hVw11lInR8SWonULI2KOpD+lr98BTomINyWNBB6V9NeI+HuFMnaVc6ekByOiV9KVwOHA6nT7D4F1wP7p6x3A5RGxStJ+wEpJi4FPAU8Df+nyP0iV4jwdWBARZ0n6ELA3MIl8xKURJWNKMov3b4FTSR5k/ISk+8nPZ61RJa/ViFibbi++th3X6swGbiZpCAMgaTTwA2B8RLwt6R6SWecPwTG1nMr9MGhqe/o7ACLxZrpuZPpTzdeE19Pfr6W/3yXp4UDSGODLJL1FpOd5NSJWpctvkPyxHx0R04BHgOsljav3TWVduThLGgWcCNya7vduRGzLS1waUeGzOxF4MSJeSnt67wbOcEyrU+5ahbLXtuNahYhYBvynxKYRwF6SRpB8UXvFMe0w0d+an5zIW2MtgEWSVkq6uNKOkoZLegrYDCyOiBW1llHk18BPgZKfLkljgaOAFWm556X7bq3hHB2nTJx7SBq8f5C0WtJMSfvkKS6NKBPT0cCGgt02AqMd09oVXqvpqg9c245r/SJiE3AD8DJJSsn2iFjkmFqe5W0Y9ISI2CTp48BiSc9FxOxdGyPinILlncCRae7UfZImRMQzZcpYVqqciLgBIL2BYXNErJR0UnGlJO0L3Av8KCJeB2Y0/61nU6k4k3wujwamRsQKSdOBKyLiF+2sa6coE9Ny++bms9YMxddquWvbca2fpAOAM0i+tG0D5ko6zzHtHAGEc9aaKlc9a+k3NiJiM3AfydDQYMdsA5YCk+stAzgeOD29OeFu4BRJdwCkeUX3AnMiIrdzNRXFeSOwsaA3cx5J481qUBTTTSQ5P7uMSddZlcpcq2WvbavbJKAvIl6LiPdI5rA7rs11Mmur3DTW0mG0/XYtA6cBz5TZ92NprwSS9iJJyn6uljIKRcTPImJMRIwlSZR9KCLOkySSvKx1EXFjw2+yw5SLc0T8C9gg6dB0115gbZlirEC5mJLcYDBOUk96w8Y5wP3tq2lnKXetlru221TNbvEy8DlJe6dx7yXJEbROEeGctSbL0zDoQSRDQpC87zsjYkGZfQ8Gbktvxx8G3BMRD0j6ZA1lVON44HxgTZpjBMkt6fMbKLOTlIxzum0qMCdtWLxEcuu+Da5sTCVdCiwkmbpjVkQ8275qdpy8X6tDQtJdJNNxHChpI3BVRNwqaR6wiuQu3NXkKDXErBSFHwlhZmZmTbK/PhKfHXZqS861pP+elbF7ztSulZthUDMzM7NOlKdhUDMzM2uFHOWTtYJ71szMzMwyzDlrZmZm1jSSFgAHtuh0WyJicovO1TZurJmZmZllmIdBzczMzDLMjTUzMzOzDHNjzczMzCzD3Fgzs44hydMNmVnuuLFmZgNIGivpOUlzJK2TNC99TmOvpNWS1kiaJWmPdP9rJa2V9LSkG0qUN1zS9ZKeSPe5JF0vSTdLel7SEknzJZ1V4vjZkm6RtAK4TtJESY+ndXms4BmyZmZdyd9SzayUQ4GLImK5pFnAj4FLgN6IeEHS7cD3JP0R+CpwWETErofIF7kI2B4Rx6YNvOWSFgFHpecZT/Ls3rXArDL1GQMcFxE7Je0PfCEidkiaBFwDfK1p79zMLGPcs2ZmpWyIiOXp8h1AL9AXES+k624DTgS2A/8DbpV0JvDfEmWdBnwrfQD6CuCjwLj0+LsiYmdEvAI8VKE+cyNiZ7o8Cpgr6RngJuDwet+kmVkncGPNzEopnoBxW8mdInYAE4F5wBRgQYndBEyNiCPTn56IWFRjfd4qWJ4GLI2ICcBXgD1rLMvMrKO4sWZmpXxC0ufT5XOBJ4Gxkj6drjsfeFjSvsCoiJgPXAYcUaKshSRDpiMBJH1G0j7AMuAbaU7bwcDJVdZtFLApXb6gxvdlZtZx3Fgzs1KeB74vaR1wAMlw44Ukw49rgH7gFmA/4AFJTwOPkuS2Iel0SVenZc0kyUdblQ5d/p4kX/Y+4J/pttuBx3edXNLVkk4vU7frgF9JWo3zbs0sB/y4KTMbQNJY4IF0mLGV552dnndeK89rZpZ17lkzMzMzyzD3rJmZmZllmHvWzMzMzDLMjTUzMzOzDHNjzczMzCzD3FgzMzMzyzA31szMzMwyzI01MzMzswz7P0WMC8YqoeGxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HV_cube {'telescopes': 'SOF*LFA*', 'cube_name': './tmp/data/sofia_school_map'}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "max_vel = -5\n",
    "min_vel = 15\n",
    "limits = (min_vel,max_vel)\n",
    "limits = limits*u.km/u.s\n",
    "#\n",
    "for i,(cube_name,parameters) in enumerate(cubes.items()):\n",
    "    print(cube_name,parameters)\n",
    "    cube= SpectralCube.read(parameters[\"cube_name\"]+\".fits\")\n",
    "    parameters[\"cube\"] = cube\n",
    "    image = cube.spectral_slab(min(limits),max(limits)).moment(order=0)    \n",
    "    parameters[\"image\"] = image\n",
    "    wcs = WCS(image.header)\n",
    "    ax = plt.subplot(1,1,1, projection=wcs)\n",
    "    cax = ax.imshow(image.data)\n",
    "    cbar=plt.colorbar(cax, orientation='vertical')    \n",
    "    #\n",
    "    fig = ax.get_figure()\n",
    "    fig.set_size_inches(10,10)\n",
    "    ax.set_title(cube_name)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## compare average spectra between reductions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: PossiblySlowWarning: This function (<function BaseSpectralCube.mean at 0x7fa267cf2730>) requires loading the entire cube into memory and may therefore be slow. [spectral_cube.utils]\n",
      "WARNING: PossiblySlowWarning: This function (<function BaseSpectralCube.mean at 0x7fa267cf2730>) requires loading the entire cube into memory and may therefore be slow. [spectral_cube.utils]\n",
      "WARNING: PossiblySlowWarning: This function (<function BaseSpectralCube.mean at 0x7fa267cf2730>) requires loading the entire cube into memory and may therefore be slow. [spectral_cube.utils]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Average over whole map')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# average cube spectra\n",
    "fig,ax = plt.subplots(1,1)\n",
    "fig.set_size_inches(10,5)\n",
    "for i,(cube_name,parameters) in enumerate(cubes.items()):\n",
    "    cube=parameters[\"cube\"]\n",
    "    average_spectra_over_map = cube.mean(axis=(1, 2)) \n",
    "    ax.plot(cube.spectral_axis/1e3,average_spectra_over_map.data,label=cube_name)\n",
    "    ax.set_xlabel(\"Velocity (km/s)\")\n",
    "    ax.set_ylabel(\"Antenna Temp (K)\")\n",
    "ax.legend()\n",
    "ax.set_title(\"Average over whole map\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## compare Orion bar spectra between reductions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: PossiblySlowWarning: This function (<function BaseSpectralCube.mean at 0x7fa267cf2730>) requires loading the entire cube into memory and may therefore be slow. [spectral_cube.utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: PossiblySlowWarning: This function (<function BaseSpectralCube.mean at 0x7fa267cf2730>) requires loading the entire cube into memory and may therefore be slow. [spectral_cube.utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: Could not parse unit K (Tmb) [spectral_cube.cube_utils]\n",
      "WARNING: PossiblySlowWarning: This function (<function BaseSpectralCube.mean at 0x7fa267cf2730>) requires loading the entire cube into memory and may therefore be slow. [spectral_cube.utils]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from regions import Regions\n",
    "# single spectra extraction\n",
    "positions = {}\n",
    "positions[\"Orionbar\"] = \"05:35:20.9, -05:25:04.8\"\n",
    "\n",
    "# average cube spectra\n",
    "fig,ax = plt.subplots(1,1)\n",
    "fig.set_size_inches(10,5)\n",
    "for position, coord in positions.items():\n",
    "    for i,(cube_name,parameters) in enumerate(cubes.items()):\n",
    "        cube=parameters[\"cube\"]\n",
    "        # extract subcube        \n",
    "        ds9_str = 'fk5; circle({0}, 30\")'.format(coord)\n",
    "        # ds9 direct\n",
    "        #subcube = cube.subcube_from_ds9region(ds9_str)\n",
    "        # from region direct\n",
    "        region = Regions.parse(ds9_str, format='ds9')\n",
    "        subcube =  cube.subcube_from_regions(region)\n",
    "        average_spectra_over_map = subcube.mean(axis=(1, 2)) \n",
    "        ax.plot(cube.spectral_axis/1e3,average_spectra_over_map.data,label=cube_name)\n",
    "        ax.set_xlabel(\"Velocity (km/s)\")\n",
    "        ax.set_ylabel(\"Antenna Temp (K)\")\n",
    "    ax.legend()\n",
    "    ax.set_title(\"Average over whole map\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# WORKING with SD FITS from class \n",
    "\n",
    "Working with SD fits opens up other tools which can give a more flexible environment such as \n",
    "  * CASA\n",
    "  * GBT suite of tools\n",
    "  * ASAP (ATNF Spectral Analysis Package)\n",
    "  * astropy fits table tools (demoed here)\n",
    "  \n",
    "SD fits can be exported from Class (see example below).\n",
    "Once the data is in SDfits if opens up the entire python suite of tools. In this section, we go through:\n",
    "   * how to extract the rms per spectra\n",
    "   * how to generate histogram and time series of the rms to identify data quality issues\n",
    "   * generate a gridded cube from ungridded data using the cygrid library\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "cmd='''\n",
    "set angle sec\n",
    "file in \"{input_filename}\"\n",
    "file out \"tmp/data/sofia_school_Tmb_resample.great\" single /overwrite\n",
    "find\n",
    "for i 1 to found \n",
    "   get n\n",
    "   extract {vel_range} v\n",
    "   resample * * * {vel_res} v \n",
    "   write\n",
    "next\n",
    "\n",
    "file in \"tmp/data/sofia_school_Tmb_resample.great\"\n",
    "find\n",
    "sys \"rm -rf ./tmp/data/sofia_school_Tmb_index.fits\"\n",
    "fits write \"./tmp/data/sofia_school_Tmb_index.fits\" /mode index \n",
    "'''\n",
    "vel_range=\"-40 40\"\n",
    "vel_res=0.5\n",
    "output=RunClassScript(cmd.format(**locals()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing 0/15848\n",
      "processing 10000/15848\n",
      "finished processing 15848 spectra\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "def load_and_fix_fits_hdu(fits_file):\n",
    "    hdu = fits.open(fits_file)    \n",
    "    if hdu[0].header['NAXIS']==4:\n",
    "        for key in  hdu[0].header.keys():\n",
    "            if (key[-1] == \"3\") or (key[-1] == \"4\"):\n",
    "                hdu[0].header.__delitem__(key)\n",
    "        if \"RA\" not in  hdu[0].header[\"CTYPE1\"]:\n",
    "            hdu[0].header[\"CTYPE1\"] = \"RA---GLS\"\n",
    "        if \"DEC\" not in hdu[0].header[\"CTYPE2\"]:\n",
    "            hdu[0].header[\"CTYPE2\"] = \"DEC--GLS\"\n",
    "        # fix data\n",
    "        hdu[0].header['NAXIS']=2\n",
    "        data = np.array(hdu[0].data[0,0,:,:],dtype='float64')\n",
    "        #index_lt_zero =np.where(data <= 0.0)\n",
    "        #data[index_lt_zero] = 0.0\n",
    "        hdu[0].data = data\n",
    "    return hdu\n",
    "\n",
    "def add_subplot_axes(ax,rect):\n",
    "    fig = plt.gcf()\n",
    "    box = ax.get_position()\n",
    "    width = box.width\n",
    "    height = box.height\n",
    "    inax_position  = ax.transAxes.transform(rect[0:2])\n",
    "    transFigure = fig.transFigure.inverted()\n",
    "    infig_position = transFigure.transform(inax_position)    \n",
    "    x = infig_position[0]\n",
    "    y = infig_position[1]\n",
    "    width *= rect[2]\n",
    "    height *= rect[3]  # <= Typo was here\n",
    "    subax = fig.add_axes([x,y,width,height])\n",
    "    x_labelsize = subax.get_xticklabels()[0].get_size()\n",
    "    y_labelsize = subax.get_yticklabels()[0].get_size()\n",
    "    #x_labelsize *= rect[2]**0.5\n",
    "    #y_labelsize *= rect[3]**0.5\n",
    "    subax.xaxis.set_tick_params(labelsize=x_labelsize)\n",
    "    subax.yaxis.set_tick_params(labelsize=y_labelsize)\n",
    "    return subax\n",
    "\n",
    "def generate_velocity_axis(fits_table):\n",
    "    if type(fits_table) != Table.Row:\n",
    "        print(\"only astropy row supported\")\n",
    "        return\n",
    "    DELTAV = (fits_table[\"DELTAV\"] if \"DELTAV\" in fits_table.columns else fits_table.meta[\"DELTAV\"])*u.m/u.s\n",
    "    CRPIX1 = fits_table[\"CRPIX1\"] if \"CRPIX1\" in fits_table.columns else fits_table.meta[\"CRPIX1\"]\n",
    "    MAXIS1 = len(fits_table[\"SPECTRUM\"])\n",
    "    VELO_LSR = (fits_table[\"VELO-LSR\"] if \"VELO-LSR\" in fits_table.columns else fits_table.meta[\"VELO-LSR\"])*u.m/u.s\n",
    "    if MAXIS1!=len(fits_table[\"SPECTRUM\"]):\n",
    "        print(\"({0[MAXIS1]})MAXIS1 ({0[MAXIS1]}) not equal to spectrum channel number ({1})\".format(fits_table,\n",
    "                                                                               len(fits_table[\"SPECTRUM\"])))\n",
    "    #\n",
    "    # fits scales start at 1\n",
    "    velocity = (np.arange(MAXIS1)-CRPIX1+1)*DELTAV + VELO_LSR    \n",
    "    return velocity  \n",
    "\n",
    "\n",
    "#\n",
    "# add additional columns to fits table\n",
    "# rms, max,min,median,integrated_intensity\n",
    "#\n",
    "def add_descriptive_columns(fits_table,max_vel=None,min_vel=None,columns=[\"integrated_intensity\",\"stats\"]):\n",
    "    #\n",
    "    if \"integrated_intensity\" in columns:\n",
    "        fits_table[\"integrated_intensity\"] = 0.0\n",
    "    if \"stats\" in columns:\n",
    "        for column in [\"rms\",\"mean\",\"median\",\"max\",\"min\"]:\n",
    "            fits_table[column] = 0.0\n",
    "    fits_table[\"integrated_intensity\"].meta = {\"max_veloicity\" : max_vel,\n",
    "                                               \"min_veloicity\" : min_vel\n",
    "                                              }\n",
    "    if max_vel is not None:\n",
    "        max_vel = max_vel.to(u.m/u.s)\n",
    "    if min_vel is not None:        \n",
    "        min_vel = min_vel.to(u.m/u.s)\n",
    "    #\n",
    "    for i,spectra in enumerate(fits_table):\n",
    "        if i%10000 == 0:\n",
    "            print(f'processing {i}/{len(fits_table)}')\n",
    "        if max_vel is not None:\n",
    "            velocity = generate_velocity_axis(spectra)\n",
    "            #\n",
    "            index_line = np.where(np.logical_and(velocity>=min_vel, velocity<=max_vel))\n",
    "            index_int = np.where(~np.logical_and(velocity>=min_vel, velocity<=max_vel))\n",
    "            spectra_indexed = spectra[\"SPECTRUM\"][index_int]\n",
    "            spectra_line = spectra[\"SPECTRUM\"][index_line]\n",
    "        else:\n",
    "            spectra_indexed = spectra[\"SPECTRUM\"]\n",
    "        #\n",
    "        if \"integrated_intensity\" in columns:\n",
    "            line_int = np.nansum(spectra_line)\n",
    "            spectra[\"integrated_intensity\"] = line_int\n",
    "        if \"stats\" in columns:\n",
    "            spectra[\"rms\"] = np.nanstd(spectra_indexed)\n",
    "            spectra[\"mean\"] = np.nanmean(spectra_indexed)\n",
    "            spectra[\"median\"] = np.nanmedian(spectra_indexed)\n",
    "            spectra[\"max\"] = np.nanmax(spectra_indexed)\n",
    "            spectra[\"min\"] = np.nanmin(spectra_indexed)\n",
    "    print(f\"finished processing {len(fits_table)} spectra\")\n",
    "#\n",
    "\n",
    "\n",
    "#\n",
    "fits_data=\"./tmp/data/sofia_school_Tmb_index.fits\"\n",
    "\n",
    "#\n",
    "fits_table = Table.read(fits_data,memmap=True)\n",
    "velocity=generate_velocity_axis(fits_table[0])\n",
    "# add time axis\n",
    "if \"DATE-OBS\" in fits_table.columns:\n",
    "    date_obs = fits_table[\"DATE-OBS\"]\n",
    "else:\n",
    "    date_obs = np.array([fits_table.meta[\"DATE-OBS\"]]*len(fits_table))\n",
    "seconds_from_midnight = fits_table[\"UT\"]\n",
    "fits_table[\"timestamp\"] = pd.to_datetime(date_obs) + pd.to_timedelta(seconds_from_midnight.data, unit='s')\n",
    "#\n",
    "lower_line_win = -5e3*u.m/u.s\n",
    "upper_line_win = 10e3*u.m/u.s\n",
    "\n",
    "add_descriptive_columns(fits_table,upper_line_win,lower_line_win)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RMS histogram per array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'SOF-LFAH_0_S'\n",
      "b'SOF-LFAH_1_S'\n",
      "b'SOF-LFAH_2_S'\n",
      "b'SOF-LFAH_3_S'\n",
      "b'SOF-LFAH_4_S'\n",
      "b'SOF-LFAH_5_S'\n",
      "b'SOF-LFAH_6_S'\n",
      "b'SOF-LFAV_0_S'\n",
      "b'SOF-LFAV_1_S'\n",
      "b'SOF-LFAV_2_S'\n",
      "b'SOF-LFAV_3_S'\n",
      "b'SOF-LFAV_4_S'\n",
      "b'SOF-LFAV_5_S'\n",
      "b'SOF-LFAV_6_S'\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot rms per pixel\n",
    "pandas_table = fits_table[[col for col in list(fits_table.columns) if col != \"SPECTRUM\"]].to_pandas()\n",
    "#\n",
    "fig,axes = plt.subplots(1,2)\n",
    "fig.set_size_inches(10,5)\n",
    "axes_dict=dict(zip([\"H\",\"V\"],axes))\n",
    "for telescope, table_tel in pandas_table.groupby([\"TELESCOP\"]):\n",
    "    print(telescope)\n",
    "    table_source = table_tel[table_tel[\"OBJECT\"].astype(str).str.contains(\"OMC\")]\n",
    "    if \"LFAH_\" in str(telescope):\n",
    "        ax = axes_dict[\"H\"]\n",
    "    else:\n",
    "        ax = axes_dict[\"V\"]\n",
    "    #print(telescope,table_source.rms.max(),table_source.rms.min())\n",
    "    ax.hist(table_source.rms.dropna(),bins=100, range=(0,40),\n",
    "            density=True,label=telescope.decode(\"utf-8\"),alpha=0.5)\n",
    "    ax.legend()\n",
    "    ax.set_xlabel(\"RMS (K)\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RMS histogram per pixel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'SOF-LFAH_0_S'\n",
      "b'SOF-LFAH_1_S'\n",
      "b'SOF-LFAH_2_S'\n",
      "b'SOF-LFAH_3_S'\n",
      "b'SOF-LFAH_4_S'\n",
      "b'SOF-LFAH_5_S'\n",
      "b'SOF-LFAH_6_S'\n",
      "b'SOF-LFAV_0_S'\n",
      "b'SOF-LFAV_1_S'\n",
      "b'SOF-LFAV_2_S'\n",
      "b'SOF-LFAV_3_S'\n",
      "b'SOF-LFAV_4_S'\n",
      "b'SOF-LFAV_5_S'\n",
      "b'SOF-LFAV_6_S'\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# per pixel for clarity\n",
    "# plot rms per pixel\n",
    "#\n",
    "fig,axes = plt.subplots(4,4,sharex=True,sharey=True)\n",
    "fig.set_size_inches(10,10)\n",
    "axes_dict=dict(zip(pandas_table[\"TELESCOP\"].unique(),axes.flatten()))\n",
    "for telescope, table_tel in pandas_table.groupby([\"TELESCOP\"]):\n",
    "    print(telescope)\n",
    "    table_source = table_tel[table_tel[\"OBJECT\"].astype(str).str.contains(\"OMC\")]\n",
    "    ax = axes_dict[telescope]\n",
    "    #print(telescope,table_source.rms.max(),table_source.rms.min())\n",
    "    ax.hist(table_source.rms.dropna(),bins=100, range=(0,40),\n",
    "            density=True,label=telescope.decode(\"utf-8\"),alpha=0.5)\n",
    "    ax.legend()\n",
    "    ax.set_xlabel(\"RMS (K)\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## RMS time line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'SOF-LFAH_0_S'\n",
      "b'SOF-LFAH_1_S'\n",
      "b'SOF-LFAH_2_S'\n",
      "b'SOF-LFAH_3_S'\n",
      "b'SOF-LFAH_4_S'\n",
      "b'SOF-LFAH_5_S'\n",
      "b'SOF-LFAH_6_S'\n",
      "b'SOF-LFAV_0_S'\n",
      "b'SOF-LFAV_1_S'\n",
      "b'SOF-LFAV_2_S'\n",
      "b'SOF-LFAV_3_S'\n",
      "b'SOF-LFAV_4_S'\n",
      "b'SOF-LFAV_5_S'\n",
      "b'SOF-LFAV_6_S'\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pandas_table[\"UT\"]\n",
    "# per pixel for clarity\n",
    "# plot rms per pixel\n",
    "#\n",
    "fig,axes = plt.subplots(4,4,sharex=True,sharey=True)\n",
    "fig.set_size_inches(15,10)\n",
    "axes_dict=dict(zip(pandas_table[\"TELESCOP\"].unique(),axes.flatten()))\n",
    "for telescope, table_tel in pandas_table.groupby([\"TELESCOP\"]):\n",
    "    print(telescope)\n",
    "    table_source = table_tel[table_tel[\"OBJECT\"].astype(str).str.contains(\"OMC\")]\n",
    "    ax = axes_dict[telescope]\n",
    "    #print(telescope,table_source.rms.max(),table_source.rms.min())\n",
    "    ax.plot_date(table_source[\"timestamp\"],table_source.rms,label=telescope.decode(\"utf-8\"),alpha=0.5)\n",
    "    ax.legend()\n",
    "    ax.set_xlabel(\"TIME (UT)\")\n",
    "    ax.set_ylabel(\"RMS (K)\")\n",
    "    #plt.xticks(rotation=45)\n",
    "fig.autofmt_xdate(rotation=45)    \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Cygrid  \n",
    "For info on the cygrid parameters check out *https://arxiv.org/pdf/1604.06667.pdf*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Creating the sdfits file from class "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "cmd='''\n",
    "set angle sec\n",
    "file in \"{input_filename}\"\n",
    "file out \"tmp/data/sofia_school_Tmb_resample.great\" single /overwrite\n",
    "find\n",
    "for i 1 to found \n",
    "   get n\n",
    "   extract {vel_range} v\n",
    "   resample * * * {vel_res} v \n",
    "   write\n",
    "next\n",
    "\n",
    "file in \"tmp/data/sofia_school_Tmb_resample.great\"\n",
    "find\n",
    "sys \"rm ./tmp/data/sofia_school_Tmb_index.fits\"\n",
    "fits write \"./tmp/data/sofia_school_Tmb_index.fits\" /mode index \n",
    "'''\n",
    "vel_range=\"-40 40\"\n",
    "vel_res=0.5\n",
    "output=RunClassScript(cmd.format(**locals()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### regridding data using cygrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-5.376028\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/higgins/virtualenv/common36/lib/python3.6/site-packages/ipykernel_launcher.py:79: UserWarning: Input data byteorder not native, will fix\n",
      "/home/higgins/virtualenv/common36/lib/python3.6/site-packages/ipykernel_launcher.py:80: RuntimeWarning: invalid value encountered in true_divide\n"
     ]
    }
   ],
   "source": [
    "class Regridder:\n",
    "    def __init__(self, fits_file,source):\n",
    "        self.fits_file = fits_file\n",
    "                 \n",
    "        self.listremdframe = np.empty(0, dtype = int)\n",
    "        self.lint = False                                                   \n",
    "        self.rms = False\n",
    "        #\n",
    "        self.table=Table.read(filename,memmap=True)\n",
    "        self.pandas_table = self.table[[col for col in list(self.table.columns) if col != \"SPECTRUM\"]].to_pandas()\n",
    "        self.source_index=self.pandas_table[\"OBJECT\"].astype(str).str.contains(source)\n",
    "        self.channel_data = self.table['SPECTRUM'].data\n",
    "        #\n",
    "        crval2 = self.table.meta.get('CRVAL2',None)\n",
    "        crval3 = self.table.meta.get('CRVAL3',None)\n",
    "        if crval2 is None:\n",
    "            crval2 = self.data['CRVAL2']\n",
    "        if crval3 is None:\n",
    "            crval3 = self.data['CRVAL3']\n",
    "        #\n",
    "        print(crval3)\n",
    "        self.ra = crval2 + self.pandas_table['CDELT2']\n",
    "        self.dec = crval3 + self.pandas_table['CDELT3']\n",
    "        self.ra_min, self.ra_max = self.ra[self.source_index].min(), self.ra[self.source_index].max()\n",
    "        self.dec_min, self.dec_max = self.dec[self.source_index].min(), self.dec[self.source_index].max()\n",
    "\n",
    "        \n",
    "    def _to_numpy(self):\n",
    "        return np.array(self.data_fits.tolist())\n",
    "\n",
    "    def _to_pandas(self):\n",
    "        self.data = pd.DataFrame(data=self.data,\n",
    "            columns=[self.data_fits.columns[i].name for i in range(len(self.data_fits.columns))])\n",
    "        \n",
    "    def cygrid_define(self, pixsize = 0.0004, kernelsize_sigma = 0.0002):\n",
    "        '''cygrid params definition'''\n",
    "        mapcenter = self.table.meta['CRVAL2'], self.table.meta['CRVAL3']  \n",
    "        #\n",
    "        dnaxis1 = int((self.ra.max() - self.ra.min())/pixsize)+1\n",
    "        dnaxis2 = int((self.dec.max() - self.dec.min())/pixsize)+1\n",
    "        crpix1 = (self.ra.max() - mapcenter[0])/pixsize\n",
    "        crpix2 = (mapcenter[1] - self.dec.min())/pixsize\n",
    "\n",
    "        kernel_type = 'gauss1d'\n",
    "        kernel_params = (kernelsize_sigma, )\n",
    "        kernel_support = 3.0 * kernelsize_sigma\n",
    "        hpx_maxres = kernelsize_sigma / 2.0\n",
    "\n",
    "        header_out = {'NAXIS': 3,\n",
    "              'NAXIS1': dnaxis1,\n",
    "              'NAXIS2': dnaxis2,\n",
    "              'NAXIS3': self.table.meta[\"MAXIS1\"],\n",
    "              'CTYPE1': 'RA---GLS',\n",
    "              'CTYPE2': 'DEC--GLS',\n",
    "              'CTYPE3': 'VRAD',\n",
    "              'CUNIT1': 'deg',\n",
    "              'CUNIT2': 'deg',\n",
    "              'CUNIT3': 'm/s',\n",
    "              'CDELT1': -pixsize,\n",
    "              'CDELT2': pixsize,\n",
    "              'CRPIX1': crpix1,\n",
    "              'CRPIX2': crpix2,\n",
    "              'CRVAL1': mapcenter[0],\n",
    "              'CRVAL2': mapcenter[1],\n",
    "              'CRVAL3': self.table.meta[\"VELO-LSR\"],\n",
    "              'CRPIX3': self.table.meta[\"CRPIX1\"],\n",
    "              'CDELT3': self.table.meta[\"DELTAV\"]\n",
    "             }\n",
    "        return header_out, kernel_type, kernel_params, kernel_support, hpx_maxres\n",
    "    \n",
    "    \n",
    "    \n",
    "    def grid_map(self):\n",
    "        header_map, kernel_type, kernel_params, kernel_support, hpx_maxres = self.cygrid_define(pixsize = 0.001, kernelsize_sigma = 0.0005)\n",
    "        mygridder = cygrid.WcsGrid(header_map)\n",
    "        mygridder.set_kernel(kernel_type, kernel_params, kernel_support, hpx_maxres)\n",
    "        mygridder.grid(self.ra.values[self.source_index], \n",
    "                       self.dec.values[self.source_index], \n",
    "                       self.channel_data[self.source_index,:,])\n",
    "        self.gridded_map = mygridder.get_datacube()\n",
    "        self.target_wcs = mygridder.get_wcs()\n",
    "        #\n",
    "        self.map_header = fits.Header()\n",
    "        for key, value in header_map.items():\n",
    "            self.map_header[key] = value\n",
    "\n",
    "\n",
    "        \n",
    "filename=\"./tmp/data/sofia_school_Tmb_index.fits\"\n",
    "source=\"OMC\"\n",
    "data= Regridder(filename,source)  \n",
    "data.grid_map()\n",
    "\n",
    "\n",
    "\n",
    "hdu = fits.PrimaryHDU(header=data.map_header,data=data.gridded_map)\n",
    "hdu.writeto('./tmp/data/cygrid.fits',overwrite=True)\n",
    "#fits.writeto(\n",
    "#    , overwrite=True,\n",
    "#    header=data.map_header, data=data.gridded_map\n",
    "#    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SIMPLE  =                    T         /                                        \n",
       "BITPIX  =                  -64                                                  \n",
       "NAXIS   =                    3                                                  \n",
       "NAXIS1  =                  125                                                  \n",
       "NAXIS2  =                  141                                                  \n",
       "NAXIS3  =                  162                                                  \n",
       "DATAMIN = -0.4511503601074E+02         /                                        \n",
       "DATAMAX =  0.2661666870117E+03         /                                        \n",
       "BUNIT   = 'K (Tmb)     '               /                                        \n",
       "OBJECT  = 'OMC_CENTER  '               /                                        \n",
       "RA      =  0.8386529200000E+02         / Right Ascension                        \n",
       "DEC     = -0.5376028000000E+01         / Declination                            \n",
       "LINE    = 'CII_L       '               /                                        \n",
       "ALTRPIX =  0.1017944335938E+03         /                                        \n",
       "ALTRVAL =  0.1900473504913E+13         /                                        \n",
       "RESTFREQ=  0.1900536900000E+13         /                                        \n",
       "IMAGFREQ=  0.1904337530254E+13         /                                        \n",
       "VELO-LSR=  0.1000000000000E+05         /                                        \n",
       "VELREF  =                  257         /                                        \n",
       "BMAJ    =  0.4649064604554E-02         /                                        \n",
       "BMIN    =  0.4649064604554E-02         /                                        \n",
       "BPA     =  0.0000000000000E+00         /                                        \n",
       "ORIGIN  = 'GILDAS Consortium  '        /                                        \n",
       "DATE    = '2023-05-15T08:21:49.167'    / Date written                           \n",
       "BEAM    = 'Beam: BMAJ=16.736632576394403 arcsec BMIN=16.736632576394403 &'      \n",
       "CONTINUE  'arcsec BPA=0.0 deg'                                                  \n",
       "WCSAXES =                    3 / Number of coordinate axes                      \n",
       "CRPIX1  =       62.75254522821 / Pixel coordinate of reference point            \n",
       "CRPIX2  =       70.67063278495 / Pixel coordinate of reference point            \n",
       "CRPIX3  =       101.7944335938 / Pixel coordinate of reference point            \n",
       "CDELT1  =   -0.001048611108083 / [deg] Coordinate increment at reference point  \n",
       "CDELT2  =    0.001048611108083 / [deg] Coordinate increment at reference point  \n",
       "CDELT3  =                500.0 / [m/s] Coordinate increment at reference point  \n",
       "CUNIT1  = 'deg'                / Units of coordinate increment and value        \n",
       "CUNIT2  = 'deg'                / Units of coordinate increment and value        \n",
       "CUNIT3  = 'm/s'                / Units of coordinate increment and value        \n",
       "CTYPE1  = 'RA---SFL'           / Right ascension, Sanson-Flamsteed projection   \n",
       "CTYPE2  = 'DEC--SFL'           / Declination, Sanson-Flamsteed projection       \n",
       "CTYPE3  = 'VRAD'               / Radio velocity (linear)                        \n",
       "CRVAL1  =            83.865292 / [deg] Coordinate value at reference point      \n",
       "CRVAL2  =            -5.376028 / [deg] Coordinate value at reference point      \n",
       "CRVAL3  =              10000.0 / [m/s] Coordinate value at reference point      \n",
       "PV1_0   =                  1.0 / [m/s] Coordinate value at reference point      \n",
       "PV1_1   =                  0.0 / [deg] Native longitude of the reference point  \n",
       "PV1_2   =            -5.376028 / [deg] Native latitude  of the reference point  \n",
       "LONPOLE =                  0.0 / [deg] Native longitude of celestial pole       \n",
       "LATPOLE =                 90.0 / [deg] Native latitude of celestial pole        \n",
       "RESTFRQ =      1900536900000.0 / [Hz] Line rest frequency                       \n",
       "MJDREF  =                  0.0 / [d] MJD of fiducial time                       \n",
       "RADESYS = 'FK5'                / Equatorial coordinate system                   \n",
       "EQUINOX =               2000.0 / [yr] Equinox of equatorial coordinates         \n",
       "SPECSYS = 'LSRK'               / Reference frame of spectral coordinates        "
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cube.header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# there are some residual issue in map that need to be resolved\n",
    "max_vel = 6\n",
    "min_vel = 0\n",
    "limits = (min_vel,max_vel)\n",
    "limits = limits*u.km/u.s\n",
    "#\n",
    "cube_cy= SpectralCube.read(\"./tmp/data/cygrid.fits\")\n",
    "image = cube_cy.spectral_slab(min(limits),max(limits)).moment(order=0)    \n",
    "parameters[\"image\"] = image\n",
    "wcs = WCS(image.header)\n",
    "ax = plt.subplot(1,1,1, projection=wcs)\n",
    "cax = ax.imshow(image.data)\n",
    "cbar=plt.colorbar(cax, orientation='vertical')    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
