Final.notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bugs and Drugs (BAD - AKA Nastybugs2 or Pretty Nastybugs) \n",
    "An F.A.I.R., open source pipeline for extracting and visualizing metagenomic antimicrobial resistance information.  \n",
    "  \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run this notebook with Binder.  \n",
    "[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/NCBI-Hackathons/Bugs_And_Drugs/master)  \n",
    "\n",
    "\n",
    "The directory structure described below are relative.  Start the notebook in the Bugs_And_Drugs directory\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'Bugs_And_Drugs'...\n",
      "remote: Counting objects: 168, done.\u001b[K\n",
      "remote: Compressing objects: 100% (58/58), done.\u001b[K\n",
      "remote: Total 168 (delta 32), reused 17 (delta 7), pack-reused 103\u001b[K\n",
      "Receiving objects: 100% (168/168), 5.15 MiB | 0 bytes/s, done.\n",
      "Resolving deltas: 100% (69/69), done.\n",
      "Checking connectivity... done.\n"
     ]
    }
   ],
   "source": [
    "#!git clone https://github.com/NCBI-Hackathons/Bugs_And_Drugs.git\n",
    "#!cd Bugs_And_Drugs\n",
    "# Start Jupyter Notebook as described in the [README](https://github.com/NCBI-Hackathons/Bugs_And_Drugs/blob/master/README.md)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import os, sys, requests\n",
    "import matplotlib\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from urllib.request import urlretrieve"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SRA BioProject ID  \n",
    "\n",
    "If you have a BioProject ID, please enter in this block.  This will include all samples in the analysis.   \n",
    "Please skip this section if you would like to provide your own SRA IDs in the id.txt file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BioProject ID: PRJEB15257\n",
      "Metadata for this Biosample is here ./PRJEB15257_metadata.csv\n",
      "Done writing id.txt\n",
      "ERR1600426\n",
      "ERR1600427\n",
      "ERR1600428\n",
      "ERR1600429\n",
      "ERR1600430\n",
      "ERR1600431\n",
      "ERR1600432\n",
      "ERR1600433\n",
      "ERR1600434\n",
      "ERR1600435\n",
      "ERR1600436\n",
      "ERR1600437\n",
      "ERR1600438\n",
      "ERR1600439\n",
      "ERR1600440\n"
     ]
    }
   ],
   "source": [
    "#sraid=\"PRJEB15257\"\n",
    "import os, sys, requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from urllib.request import urlretrieve\n",
    "\n",
    "## Getting BioProject or input SRA IDs in id.txt\n",
    "sraid = input('BioProject ID: ')\n",
    "#nanopore sequence analysis feature is currently being developed\n",
    "#nano = input('Is this a nanopore sequencing project? Yes/No')\n",
    "fname = '%s_metadata.csv' %sraid\n",
    "url = 'http://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?save=efetch&db=sra&rettype=runinfo&term=%s' %sraid\n",
    "dst = '%s_metadata.csv' %sraid\n",
    "urlretrieve(url, dst)\n",
    "\n",
    "columns = ['Run' ,'ReleaseDate', 'LoadDate', 'spots', 'bases', 'spots_with_mates', 'avgLength', 'size_MB',\n",
    "           'AssemblyName', 'download_path', 'Experiment', 'LibraryName', 'LibraryStrategy', 'LibrarySelection',\n",
    "           'LibrarySource', 'LibraryLayout', 'InsertSize', 'InsertDev', 'Platform', 'Model', 'SRAStudy', 'BioProject', \n",
    "           'Study_Pubmed_id', 'ProjectID', 'Sample', 'BioSample', 'SampleType', 'TaxID', 'ScientificName', 'SampleName',\n",
    "           'g1k_pop_code', 'source', 'g1k_analysis_group', 'Subject_ID', 'Sex', 'Disease', 'Tumor', 'Affection_Status',\n",
    "           'Analyte_Type', 'Histological_Type', 'Body_Site', 'CenterName', 'Submission', 'dbgap_study_accession', \n",
    "           'Consent', 'RunHash', 'ReadHash']\n",
    "df = pd.read_csv('%s' %fname, names=columns)\n",
    "\n",
    "## write all ids in #sraid=\"PRJEB15257\" to \n",
    "outfile = \"id.txt\"\n",
    "with open(outfile, 'w+') as outfile_id:\n",
    "    np.savetxt(outfile_id, df['Run'][1:(df.shape[1])], fmt=['%s'])\n",
    "    \n",
    "print(\"Metadata for this Biosample is here ./%s_metadata.csv\" %sraid)\n",
    "print(\"Done writing %s\" %outfile)\n",
    "!cat id.txt\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Enter your SRA IDs  \n",
    "Skip if you provided a BioProjecID in the previous section.  \n",
    "Enter your SRA IDs separated by one single space - "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SRA IDs: ERR1600437 ERR1600439 ERR1600435\n",
      "Done writing id.txt\n",
      "ERR1600437\n",
      "ERR1600439\n",
      "ERR1600435\n"
     ]
    }
   ],
   "source": [
    "#sraid=\"ERR1600437 ERR1600439 ERR1600435\"\n",
    "import os, sys, requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from urllib.request import urlretrieve\n",
    "\n",
    "## Getting BioProject or input SRA IDs in id.txt\n",
    "sraids = input('SRA IDs: ')\n",
    "outfile = \"id.txt\"\n",
    "#df = np.fromstring(sraids, sep='')\n",
    "#df = np.core.defchararray.split(sraids, sep=\" \")\n",
    "words = sraids.split()\n",
    "with open(outfile, 'w+') as outfile_id:\n",
    "    np.savetxt(outfile_id, words, fmt=['%s'])\n",
    "    \n",
    "#print(\"Metadata for this Biosample is here ./%s_metadata.csv\" %sraid)\n",
    "print(\"Done writing %s\" %outfile)\n",
    "!cat id.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running nastybugs.sh script  \n",
    "WARNING - this step may take hours to complete.  \n",
    "MagicBlast takes approximately 30-40 minutes per gigabyte to stream and align.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!bash scripts/nastybugs2.sh id.txt ./hgDir ./cardgene ./cardsnp 16 ./outDir\n",
      "mkdir: cannot create directory ‘/home/ubuntu/stevetsa/Bugs_And_Drugs/outDir’: File exists\n",
      "\n",
      "processing reads...\n"
     ]
    }
   ],
   "source": [
    "#print('%s' %nano)\n",
    "#Nano option in development\n",
    "#if (nano.lower() == 'yes'):\n",
    "#   print ('!bash spoon_fed_nanopore.sh')\n",
    "#else: \n",
    "   \n",
    "print ('!bash scripts/nastybugs2.sh id.txt ./hgDir ./cardgene ./cardsnp 16 ./outDir')\n",
    "!bash scripts/nastybugs2.sh id.txt ./hgDir ./cardgene ./cardsnp 16 ./outDir\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2018-09-15 15:15:37--  http://lib/\n",
      "Resolving lib (lib)... failed: Name or service not known.\n",
      "wget: unable to resolve host address ‘lib’\n",
      "--2018-09-15 15:15:37--  https://card.mcmaster.ca/download/5/ontology-v2.0.3.tar.gz\n",
      "Resolving card.mcmaster.ca (card.mcmaster.ca)... 130.113.77.126\n",
      "Connecting to card.mcmaster.ca (card.mcmaster.ca)|130.113.77.126|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 606741 (593K) [application/x-bzip2]\n",
      "Saving to: ‘card.mcmaster.ca/download/5/ontology-v2.0.3.tar.gz’\n",
      "\n",
      "card.mcmaster.ca/do 100%[===================>] 592.52K  3.25MB/s    in 0.2s    \n",
      "\n",
      "2018-09-15 15:15:38 (3.25 MB/s) - ‘card.mcmaster.ca/download/5/ontology-v2.0.3.tar.gz’ saved [606741/606741]\n",
      "\n",
      "FINISHED --2018-09-15 15:15:38--\n",
      "Total wall clock time: 0.5s\n",
      "Downloaded: 1 files, 593K in 0.2s (3.25 MB/s)\n",
      "--2018-09-15 15:15:38--  http://lib/\n",
      "Resolving lib (lib)... failed: Name or service not known.\n",
      "wget: unable to resolve host address ‘lib’\n",
      "--2018-09-15 15:15:38--  https://card.mcmaster.ca/download/6/prevalence-v3.0.1.tar.gz\n",
      "Resolving card.mcmaster.ca (card.mcmaster.ca)... 130.113.77.126\n",
      "Connecting to card.mcmaster.ca (card.mcmaster.ca)|130.113.77.126|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 24351341 (23M) [application/x-bzip2]\n",
      "Saving to: ‘card.mcmaster.ca/download/6/prevalence-v3.0.1.tar.gz’\n",
      "\n",
      "card.mcmaster.ca/do 100%[===================>]  23.22M  31.2MB/s    in 0.7s    \n",
      "\n",
      "2018-09-15 15:15:39 (31.2 MB/s) - ‘card.mcmaster.ca/download/6/prevalence-v3.0.1.tar.gz’ saved [24351341/24351341]\n",
      "\n",
      "FINISHED --2018-09-15 15:15:39--\n",
      "Total wall clock time: 1.1s\n",
      "Downloaded: 1 files, 23M in 0.7s (31.2 MB/s)\n",
      "./\n",
      "./protein_fasta_protein_homolog_model_variants.fasta\n",
      "./card_prevalence.txt\n",
      "./protein_fasta_protein_variant_model_variants.fasta\n",
      "./index-for-model-sequences.txt\n",
      "./protein_fasta_protein_overexpression_model_variants.fasta\n",
      "./nucleotide_fasta_protein_homolog_model_variants.fasta\n",
      "./nucleotide_fasta_protein_overexpression_model_variants.fasta\n",
      "./nucleotide_fasta_protein_variant_model_variants.fasta\n",
      "./Variants-Download-README.txt\n",
      "./nucleotide_fasta_rRNA_gene_variant_model_variants.fasta\n",
      "./\n",
      "./mo.json\n",
      "./ncbi_taxonomy.json\n",
      "./aro.csv\n",
      "./ro.csv\n",
      "./mo.obo\n",
      "./mo.csv\n",
      "./aro.owl\n",
      "./ro.obo\n",
      "./ro.json\n",
      "./ncbi_taxonomy.obo\n",
      "./aro.obo\n",
      "./aro.json\n",
      "./ncbi_taxonomy.csv\n",
      "./Ontology-Download-README.txt\n"
     ]
    }
   ],
   "source": [
    "#!more scripts/tabulate.py\n",
    "# connect all input files - work this into the container for a snapshot?\n",
    "#!ls -al\n",
    "!mkdir -p lib/card-data\n",
    "!mkdir -p lib/card-ontology\n",
    "!mkdir -p lib/card-prevalence\n",
    "#!cd lib\n",
    "!wget -p lib https://card.mcmaster.ca/download/5/ontology-v2.0.3.tar.gz\n",
    "!wget -p lib https://card.mcmaster.ca/download/6/prevalence-v3.0.1.tar.gz\n",
    "!tar xvf prevalence-v3.0.1.tar.gz -C lib/card-prevalence\n",
    "!tar xvf ontology-v2.0.3.tar.gz -C lib/card-ontology\n",
    "!cp cardgene/aro_index.csv lib/card-data/aro_index.csv\n",
    "!cp cardgene/aro_categories.csv lib/card-data/aro_categories.csv\n",
    "!cp cardgene/aro_categories_index.csv lib/card-data/aro_categories_index.csv\n",
    "\n",
    "#python scripts/tabulate.py\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python scripts/tabulate2.py outDir/ERR1600437.CARD_gene.out.tab scripts/\n",
    "\n",
    "\n",
    "#card_output = pd.read_csv('outDir/ERR1600437.CARD_gene.out.tab', sep=\"\\t\",header=2)\n",
    "#card_output = card_output.loc[card_output['reference acc.'] != '-']\n",
    "#card_output['reference acc.'] = card_output['reference acc.'].astype('int64')\n",
    "#organisms = pd.read_csv('lib/ref_acc.tsv',sep=\"|\",header=None)\n",
    "#organisms.columns = ['gb','genbank','strand','number','ARO accession','Gene[Organism]']\n",
    "#organisms['reference acc.'] = organisms['gb'].str.extract('(\\d+)',expand=False).apply(pd.to_numeric)\n",
    "#mapped = pd.merge(card_output, organisms, how='inner', on=['reference acc.'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching taxdump.tar.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for taxdump.tar.gz matches server.\n",
      "Extracting taxonomy...\n",
      "\n",
      "Cleaning up...\n",
      "\n",
      "Finished.\n",
      "\n",
      "Fetching accession2taxid/dead_nucl.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/dead_nucl.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/dead_prot.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/dead_prot.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/dead_wgs.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/dead_wgs.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/nucl_est.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/nucl_est.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/nucl_gb.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/nucl_gb.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/nucl_gss.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/nucl_gss.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/nucl_wgs.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/nucl_wgs.accession2taxid.gz matches server.\n",
      "Fetching accession2taxid/prot.accession2taxid.gz...\n",
      "   Fetching checksum...\n",
      "   Checksum for accession2taxid/prot.accession2taxid.gz matches server.\n",
      "Sorting dead_nucl.accession2taxid.gz...\n",
      "Sorting dead_prot.accession2taxid.gz...\n",
      "Sorting dead_wgs.accession2taxid.gz...\n",
      "Sorting nucl_est.accession2taxid.gz...\n",
      "Sorting nucl_gb.accession2taxid.gz...\n",
      "Sorting nucl_gss.accession2taxid.gz...\n",
      "Sorting nucl_wgs.accession2taxid.gz...\n",
      "Sorting prot.accession2taxid.gz...\n",
      "Merging sorted...\n",
      "\n",
      "Cleaning up...\n",
      "\n",
      "Finished.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "#card_output.loc[card_output['reference acc.'] != '-']\n",
    "#card_output.tail(5)\n",
    "#card_output['reference acc.'] = card_output['reference acc.'].astype('int64')\n",
    "#organisms.dtypes\n",
    "#takes about 20 min - stage \n",
    "!/opt/Krona/KronaTools/updateTaxonomy.sh\n",
    "!/opt/Krona/KronaTools/updateAccessions.sh\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading taxonomy...\n",
      "Importing scripts/mapped_aro_prevalence.tsv...\n",
      "   Classifying BLAST results...\n",
      "   [ WARNING ]  \"scripts/mapped_aro_prevalence.tsv\" had e-values of 0.\n",
      "                Approximated log[10] of 0 as -450.\n",
      "   Computing tree...\n",
      "   [ WARNING ]  The following accessions were not found in the local database\n",
      "                (if they were recently added to NCBI, use updateAccessions.sh\n",
      "                to update the local database): DNA\n",
      "Writing blast.krona.html...\n"
     ]
    }
   ],
   "source": [
    "#!mkdir -p mapped_prevalence_files\n",
    "#!cp scripts/mapped_aro_prevalence.tsv mapped_prevalence_files/ERR1600437.CARD_gene.out.tab_prev\n",
    "!perl /opt/Krona/KronaTools/scripts/ImportBLAST.pl scripts/mapped_aro_prevalence.tsv\n",
    "#!perl /opt/Krona/KronaTools/scripts/ImportBLAST.pl mapped_prevalence_files/ERR1600430.CARD_gene.out.tab_prev\n",
    "#!mv blast.krona.html ERR1600430.blast.krona.html\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!DOCTYPE html PUBLIC \"-//W3C//DTD XHTML 1.0 Strict//EN\" \"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd\">\n",
       "<html xmlns=\"http://www.w3.org/1999/xhtml\" xml:lang=\"en\" lang=\"en\">\n",
       " <head>\n",
       "  <meta charset=\"utf-8\"/>\n",
       "  <link rel=\"shortcut icon\" 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       "  <script id=\"notfound\" type=\"text/javascript\">window.onload=function(){document.body.innerHTML=\"\"}</script>\n",
       "  <script language=\"javascript\" type=\"text/javascript\">\n",
       "{//-----------------------------------------------------------------------------\n",
       "// \n",
       "// PURPOSE\n",
       "// \n",
       "// Krona is a flexible tool for exploring the relative proportions of\n",
       "// hierarchical data, such as metagenomic classifications, using a\n",
       "// radial, space-filling display. It is implemented using HTML5 and\n",
       "// JavaScript, allowing charts to be explored locally or served over the\n",
       "// Internet, requiring only a current version of any major web\n",
       "// browser. Krona charts can be created using an Excel template or from\n",
       "// common bioinformatic formats using the provided conversion scripts.\n",
       "// \n",
       "// \n",
       "// COPYRIGHT LICENSE\n",
       "// \n",
       "// Copyright (c) 2011, Battelle National Biodefense Institute (BNBI);\n",
       "// all rights reserved. Authored by: Brian Ondov, Nicholas Bergman, and\n",
       "// Adam Phillippy\n",
       "// \n",
       "// This Software was prepared for the Department of Homeland Security\n",
       "// (DHS) by the Battelle National Biodefense Institute, LLC (BNBI) as\n",
       "// part of contract HSHQDC-07-C-00020 to manage and operate the National\n",
       "// Biodefense Analysis and Countermeasures Center (NBACC), a Federally\n",
       "// Funded Research and Development Center.\n",
       "// \n",
       "// Redistribution and use in source and binary forms, with or without\n",
       "// modification, are permitted provided that the following conditions are\n",
       "// met:\n",
       "// \n",
       "// * Redistributions of source code must retain the above copyright\n",
       "//   notice, this list of conditions and the following disclaimer.\n",
       "// \n",
       "// * Redistributions in binary form must reproduce the above copyright\n",
       "//   notice, this list of conditions and the following disclaimer in the\n",
       "//   documentation and/or other materials provided with the distribution.\n",
       "// \n",
       "// * Neither the name of the Battelle National Biodefense Institute nor\n",
       "//   the names of its contributors may be used to endorse or promote\n",
       "//   products derived from this software without specific prior written\n",
       "//   permission.\n",
       "// \n",
       "// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\n",
       "// \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\n",
       "// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR\n",
       "// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\n",
       "// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\n",
       "// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT\n",
       "// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n",
       "// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY\n",
       "// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n",
       "// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n",
       "// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
       "// \n",
       "// \n",
       "// TRADEMARK LICENSE\n",
       "// \n",
       "// KRONA(TM) is a trademark of the Department of Homeland Security, and use\n",
       "// of the trademark is subject to the following conditions:\n",
       "// \n",
       "// * Distribution of the unchanged, official code/software using the\n",
       "//   KRONA(TM) mark is hereby permitted by the Department of Homeland\n",
       "//   Security, provided that the software is distributed without charge\n",
       "//   and modification.\n",
       "// \n",
       "// * Distribution of altered source code/software using the KRONA(TM) mark\n",
       "//   is not permitted unless written permission has been granted by the\n",
       "//   Department of Homeland Security.\n",
       "// \n",
       "// \n",
       "// FOR MORE INFORMATION VISIT\n",
       "// \n",
       "// https://github.com/marbl/Krona/wiki/\n",
       "// \n",
       "//-----------------------------------------------------------------------------\n",
       "}\n",
       "\n",
       "\n",
       "var canvas;\n",
       "var context;\n",
       "var svg; // for snapshot mode\n",
       "var collapse = true;\n",
       "var collapseCheckBox;\n",
       "var collapseLast;\n",
       "var compress;\n",
       "var compressCheckBox;\n",
       "var maxAbsoluteDepthText;\n",
       "var maxAbsoluteDepthButtonDecrease;\n",
       "var maxAbsoluteDepthButtonIncrease;\n",
       "var fontSize = 11;\n",
       "var fontSizeText;\n",
       "var fontSizeButtonDecrease;\n",
       "var fontSizeButtonIncrease;\n",
       "var fontSizeLast;\n",
       "var radiusButtonDecrease;\n",
       "var radiusButtonIncrease;\n",
       "var shorten;\n",
       "var shortenCheckBox;\n",
       "var maxAbsoluteDepth;\n",
       "var backButton;\n",
       "var upButton;\n",
       "var forwardButton;\n",
       "var snapshotButton;\n",
       "var snapshotMode = false;\n",
       "var details;\n",
       "var detailsName;\n",
       "var search;\n",
       "var searchResults;\n",
       "var nSearchResults;\n",
       "var useHueCheckBox;\n",
       "var useHueDiv;\n",
       "var datasetDropDown;\n",
       "var datasetButtonLast;\n",
       "var datasetButtonPrev;\n",
       "var datasetButtonNext;\n",
       "var keyControl;\n",
       "var showKeys = true;\n",
       "var linkButton;\n",
       "var linkText;\n",
       "var frame;\n",
       "\n",
       "// Node references. Note that the meanings of 'selected' and 'focused' are\n",
       "// swapped in the docs.\n",
       "//\n",
       "var head; // the root of the entire tree\n",
       "var selectedNode = 0; // the root of the current view\n",
       "var focusNode = 0; // a node chosen for more info (single-click)\n",
       "var highlightedNode = 0; // mouse hover node\n",
       "var highlightingHidden = false;\n",
       "var nodes = new Array();\n",
       "var currentNodeID = 0; // to iterate while loading\n",
       "\n",
       "var nodeHistory = new Array();\n",
       "var nodeHistoryPosition = 0;\n",
       "\n",
       "var dataEnabled = false; // true when supplemental files are present\n",
       "\n",
       "// store non-Krona GET variables so they can be passed on to links\n",
       "//\n",
       "var getVariables = new Array();\n",
       "\n",
       "// selectedNodeLast is separate from the history, since we need to check\n",
       "// properties of the last node viewed when browsing through the history\n",
       "//\n",
       "var selectedNodeLast = 0;\n",
       "var zoomOut = false;\n",
       "\n",
       "// temporary zoom-in while holding the mouse button on a wedge\n",
       "//\n",
       "var quickLook = false; // true when in quick look state\n",
       "var mouseDown = false;\n",
       "var mouseDownTime; // to detect mouse button hold\n",
       "var quickLookHoldLength = 200;\n",
       "\n",
       "var imageWidth;\n",
       "var imageHeight;\n",
       "var centerX;\n",
       "var centerY;\n",
       "var gRadius;\n",
       "var updateViewNeeded = false;\n",
       "\n",
       "// Determines the angle that the pie chart starts at.  90 degrees makes the\n",
       "// center label consistent with the children.\n",
       "//\n",
       "var rotationOffset = Math.PI / 2;\n",
       "\n",
       "var buffer;\n",
       "var bufferFactor = .1;\n",
       "\n",
       "// The maps are the small pie charts showing the current slice being viewed.\n",
       "//\n",
       "var mapBuffer = 10;\n",
       "var mapRadius = 0;\n",
       "var maxMapRadius = 25;\n",
       "var mapWidth = 150;\n",
       "var maxLabelOverhang = Math.PI * 4.18;\n",
       "\n",
       "// Keys are the labeled boxes for slices in the highest level that are too thin\n",
       "// to label.\n",
       "//\n",
       "var maxKeySizeFactor = 2; // will be multiplied by font size\n",
       "var keySize;\n",
       "var keys;\n",
       "var keyBuffer = 10;\n",
       "var currentKey;\n",
       "var keyMinTextLeft;\n",
       "var keyMinAngle;\n",
       "\n",
       "var minRingWidthFactor = 5; // will be multiplied by font size\n",
       "var maxPossibleDepth; // the theoretical max that can be displayed\n",
       "var maxDisplayDepth; // the actual depth that will be displayed\n",
       "var headerHeight = 0;//document.getElementById('options').clientHeight;\n",
       "var historySpacingFactor = 1.6; // will be multiplied by font size\n",
       "var historyAlphaDelta = .25;\n",
       "\n",
       "// appearance\n",
       "//\n",
       "var lineOpacity = 0.3;\n",
       "var saturation = 0.5;\n",
       "var lightnessBase = 0.6;\n",
       "var lightnessMax = .8;\n",
       "var thinLineWidth = .3;\n",
       "var highlightLineWidth = 1.5;\n",
       "var labelBoxBuffer = 6;\n",
       "var labelBoxRounding = 15;\n",
       "var labelWidthFudge = 1.05; // The width of unshortened labels are set slightly\n",
       "\t\t\t\t\t\t\t// longer than the name width so the animation\n",
       "\t\t\t\t\t\t\t// finishes faster.\n",
       "var fontNormal;\n",
       "var fontBold;\n",
       "var fontFamily = 'sans-serif';\n",
       "//var fontFaceBold = 'bold Arial';\n",
       "var nodeRadius;\n",
       "var angleFactor;\n",
       "var tickLength;\n",
       "var compressedRadii;\n",
       "\n",
       "// colors\n",
       "//\n",
       "var highlightFill = 'rgba(255, 255, 255, .3)';\n",
       "var colorUnclassified = 'rgb(220,220,220)';\n",
       "\n",
       "// label staggering\n",
       "//\n",
       "var labelOffsets; // will store the current offset at each depth\n",
       "//\n",
       "// This will store pointers to the last node that had a label in each offset (or \"track\") of a\n",
       "// each depth.  These will be used to shorten neighboring labels that would overlap.\n",
       "// The [nLabelNodes] index will store the last node with a radial label.\n",
       "// labelFirstNodes is the same, but to check for going all the way around and\n",
       "// overlapping the first labels.\n",
       "//\n",
       "var labelLastNodes;\n",
       "var labelFirstNodes;\n",
       "//\n",
       "var nLabelOffsets = 3; // the number of offsets to use\n",
       "\n",
       "var mouseX = -1;\n",
       "var mouseY = -1;\n",
       "var mouseXRel = -1;\n",
       "var mouseYRel = -1;\n",
       "\n",
       "// tweening\n",
       "//\n",
       "var progress = 0; // for tweening; goes from 0 to 1.\n",
       "var progressLast = 0;\n",
       "var tweenFactor = 0; // progress converted by a curve for a smoother effect.\n",
       "var tweenLength = 850; // in ms\n",
       "var tweenCurvature = 13;\n",
       "//\n",
       "// tweenMax is used to scale the sigmoid function so its range is [0,1] for the\n",
       "// domain [0,1]\n",
       "//\n",
       "var tweenMax = 1 / (1 + Math.exp(-tweenCurvature / 2));\n",
       "//\n",
       "var tweenStartTime;\n",
       "\n",
       "// for framerate debug\n",
       "//\n",
       "var tweenFrames = 0;\n",
       "var fpsDisplay = document.getElementById('frameRate');\n",
       "\n",
       "// Arrays to translate xml attribute names into displayable attribute names\n",
       "//\n",
       "var attributes = new Array();\n",
       "//\n",
       "var magnitudeIndex; // the index of attribute arrays used for magnitude\n",
       "var membersAssignedIndex;\n",
       "var membersSummaryIndex;\n",
       "\n",
       "// For defining gradients\n",
       "//\n",
       "var hueDisplayName;\n",
       "var hueStopPositions;\n",
       "var hueStopHues;\n",
       "var hueStopText;\n",
       "\n",
       "// multiple datasets\n",
       "//\n",
       "var currentDataset = 0;\n",
       "var lastDataset = 0;\n",
       "var datasets = 1;\n",
       "var datasetNames;\n",
       "var datasetSelectSize = 30;\n",
       "var datasetAlpha = new Tween(0, 0);\n",
       "var datasetWidths = new Array();\n",
       "var datasetChanged;\n",
       "var datasetSelectWidth = 50;\n",
       "\n",
       "window.onload = load;\n",
       "\n",
       "var image;\n",
       "var hiddenPattern;\n",
       "var loadingImage;\n",
       "var logoImage;\n",
       "\n",
       "function backingScale()\n",
       "{\n",
       "\tif ('devicePixelRatio' in window)\n",
       "\t{\n",
       "\t\tif (window.devicePixelRatio > 1)\n",
       "\t\t{\n",
       "\t\t\treturn window.devicePixelRatio;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\treturn 1;\n",
       "}\n",
       "\n",
       "function resize()\n",
       "{\n",
       "\timageWidth = window.innerWidth;\n",
       "\timageHeight = window.innerHeight;\n",
       "\t\n",
       "\tif ( ! snapshotMode )\n",
       "\t{\n",
       "\t\tcontext.canvas.width = imageWidth * backingScale();\n",
       "\t\tcontext.canvas.height = imageHeight * backingScale();\n",
       "\t\tcontext.canvas.style.width = imageWidth + \"px\"\n",
       "\t\tcontext.canvas.style.height = imageHeight + \"px\"\n",
       "\t\tcontext.scale(backingScale(), backingScale());\n",
       "\t}\n",
       "\t\n",
       "\tif ( datasetDropDown )\n",
       "\t{\n",
       "\t\tvar ratio = \n",
       "\t\t\t(datasetDropDown.offsetTop + datasetDropDown.clientHeight) * 2 /\n",
       "\t\t\timageHeight;\n",
       "\t\t\n",
       "\t\tif ( ratio > 1 )\n",
       "\t\t{\n",
       "\t\t\tratio = 1;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tratio = Math.sqrt(ratio);\n",
       "\t\t\n",
       "\t\tdatasetSelectWidth = \n",
       "\t\t\t(datasetDropDown.offsetLeft + datasetDropDown.clientWidth) * ratio;\n",
       "\t}\n",
       "\tvar leftMargin = datasets > 1 ? datasetSelectWidth + 30 : 0;\n",
       "\tvar minDimension = imageWidth - mapWidth - leftMargin > imageHeight ?\n",
       "\t\timageHeight :\n",
       "\t\timageWidth - mapWidth - leftMargin;\n",
       "\t\n",
       "\tmaxMapRadius = minDimension * .03;\n",
       "\tbuffer = minDimension * bufferFactor;\n",
       "\tmargin = minDimension * .015;\n",
       "\tcenterX = (imageWidth - mapWidth - leftMargin) / 2 + leftMargin;\n",
       "\tcenterY = imageHeight / 2;\n",
       "\tgRadius = minDimension / 2 - buffer;\n",
       "\t//context.font = '11px sans-serif';\n",
       "}\n",
       "\n",
       "function handleResize()\n",
       "{\n",
       "\tupdateViewNeeded = true;\n",
       "}\n",
       "\n",
       "function Attribute()\n",
       "{\n",
       "}\n",
       "\n",
       "function Tween(start, end)\n",
       "{\n",
       "\tthis.start = start;\n",
       "\tthis.end = end;\n",
       "\tthis.current = this.start;\n",
       "\t\n",
       "\tthis.current = function()\n",
       "\t{\n",
       "\t\tif ( progress == 1 || this.start == this.end )\n",
       "\t\t{\n",
       "\t\t\treturn this.end;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn this.start + tweenFactor * (this.end - this.start);\n",
       "\t\t}\n",
       "\t};\n",
       "\t\n",
       "\tthis.setTarget = function(target)\n",
       "\t{\n",
       "\t\tthis.start = this.current();\n",
       "\t\tthis.end = target;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function Node()\n",
       "{\n",
       "\tthis.id = currentNodeID;\n",
       "\tcurrentNodeID++;\n",
       "\tnodes[this.id] = this;\n",
       "\t\n",
       "\tthis.angleStart = new Tween(Math.PI, 0);\n",
       "\tthis.angleEnd = new Tween(Math.PI, 0);\n",
       "\tthis.radiusInner = new Tween(1, 1);\n",
       "\tthis.labelRadius = new Tween(1, 1);\n",
       "\tthis.labelWidth = new Tween(0, 0);\n",
       "\tthis.scale = new Tween(1, 1); // TEMP\n",
       "\tthis.radiusOuter = new Tween(1, 1);\n",
       "\t\n",
       "\tthis.r = new Tween(255, 255);\n",
       "\tthis.g = new Tween(255, 255);\n",
       "\tthis.b = new Tween(255, 255);\n",
       "\t\n",
       "\tthis.alphaLabel = new Tween(0, 1);\n",
       "\tthis.alphaLine = new Tween(0, 1);\n",
       "\tthis.alphaArc = new Tween(0, 0);\n",
       "\tthis.alphaWedge = new Tween(0, 1);\n",
       "\tthis.alphaOther = new Tween(0, 1);\n",
       "\tthis.alphaPattern = new Tween(0, 0);\n",
       "\tthis.children = Array();\n",
       "\tthis.parent = 0;\n",
       "\t\n",
       "\tthis.attributes = new Array(attributes.length);\n",
       "\t\n",
       "\tthis.addChild = function(child)\n",
       "\t{\n",
       "\t\tthis.children.push(child);\n",
       "\t};\n",
       "\t\n",
       "\tthis.addLabelNode = function(depth, labelOffset)\n",
       "\t{\n",
       "\t\tif ( labelHeadNodes[depth][labelOffset] == 0 )\n",
       "\t\t{\n",
       "\t\t\t// this will become the head node for this list\n",
       "\t\t\t\n",
       "\t\t\tlabelHeadNodes[depth][labelOffset] = this;\n",
       "\t\t\tthis.labelPrev = this;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar head = labelHeadNodes[depth][labelOffset];\n",
       "\t\t\n",
       "\t\tthis.labelNext = head;\n",
       "\t\tthis.labelPrev = head.labelPrev;\n",
       "\t\thead.labelPrev.labelNext = this;\n",
       "\t\thead.labelPrev = this;\n",
       "\t}\n",
       "\t\n",
       "\tthis.canDisplayDepth = function()\n",
       "\t{\n",
       "\t\t// whether this node is at a depth that can be displayed, according\n",
       "\t\t// to the max absolute depth\n",
       "\t\t\n",
       "\t\treturn this.depth <= maxAbsoluteDepth;\n",
       "\t}\n",
       "\t\n",
       "\tthis.canDisplayHistory = function()\n",
       "\t{\n",
       "\t\tvar radiusInner;\n",
       "\t\t\n",
       "\t\tif ( compress )\n",
       "\t\t{\n",
       "\t\t\tradiusInner = compressedRadii[0];\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tradiusInner = nodeRadius;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn (\n",
       "\t\t\t-this.labelRadius.end * gRadius +\n",
       "\t\t\thistorySpacingFactor * fontSize / 2 <\n",
       "\t\t\tradiusInner * gRadius\n",
       "\t\t\t);\n",
       "\t}\n",
       "\t\n",
       "\tthis.canDisplayLabelCurrent = function()\n",
       "\t{\n",
       "\t\treturn (\n",
       "\t\t\t(this.angleEnd.current() - this.angleStart.current()) *\n",
       "\t\t\t(this.radiusInner.current() * gRadius + gRadius) >=\n",
       "\t\t\tminWidth());\n",
       "\t}\n",
       "\t\n",
       "\tthis.checkHighlight = function()\n",
       "\t{\n",
       "\t\tif ( this.children.length == 0 && this == focusNode )\n",
       "\t\t{\n",
       "\t\t\t//return false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.hide )\n",
       "\t\t{\n",
       "\t\t\treturn false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.radiusInner.end == 1 )\n",
       "\t\t{\n",
       "\t\t\t// compressed to the outside; don't check\n",
       "\t\t\t\n",
       "\t\t\treturn false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar highlighted = false;\n",
       "\t\t\n",
       "\t\tvar angleStartCurrent = this.angleStart.current() + rotationOffset;\n",
       "\t\tvar angleEndCurrent = this.angleEnd.current() + rotationOffset;\n",
       "\t\tvar radiusInner = this.radiusInner.current() * gRadius;\n",
       "\t\t\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\thighlighted = this.children[i].checkHighlight();\n",
       "\t\t\t\n",
       "\t\t\tif ( highlighted )\n",
       "\t\t\t{\n",
       "\t\t\t\treturn true;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.radial )\n",
       "\t\t{\n",
       "\t\t\tvar angleText = (angleStartCurrent + angleEndCurrent) / 2;\n",
       "\t\t\tvar radiusText = (gRadius + radiusInner) / 2;\n",
       "\t\t\t\n",
       "\t\t\tcontext.rotate(angleText);\n",
       "\t\t\tcontext.beginPath();\n",
       "\t\t\tcontext.moveTo(radiusText, -fontSize);\n",
       "\t\t\tcontext.lineTo(radiusText, fontSize);\n",
       "\t\t\tcontext.lineTo(radiusText + centerX, fontSize);\n",
       "\t\t\tcontext.lineTo(radiusText + centerX, -fontSize);\n",
       "\t\t\tcontext.closePath();\n",
       "\t\t\tcontext.rotate(-angleText);\n",
       "\t\t\t\n",
       "\t\t\tif ( context.isPointInPath(mouseXRel, mouseYRel) )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar label = String(this.getPercentage()) + '%' + '   ' + this.name;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this.searchResultChildren() )\n",
       "\t\t\t    {\n",
       "\t\t\t\t\tlabel += searchResultString(this.searchResultChildren());\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tMath.sqrt((mouseXRel) * (mouseXRel) + (mouseYRel) * (mouseYRel)) / backingScale() <\n",
       "\t\t\t\t\tradiusText + measureText(label)\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thighlighted = true;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t    for ( var i = 0; i < this.hiddenLabels.length; i++ )\n",
       "\t\t    {\n",
       "\t\t        var hiddenLabel = this.hiddenLabels[i];\n",
       "\t\t        \n",
       "\t\t\t\tcontext.rotate(hiddenLabel.angle);\n",
       "\t\t\t\tcontext.beginPath();\n",
       "\t\t\t\tcontext.moveTo(gRadius, -fontSize);\n",
       "\t\t\t\tcontext.lineTo(gRadius, fontSize);\n",
       "\t\t\t\tcontext.lineTo(gRadius + centerX, fontSize);\n",
       "\t\t\t\tcontext.lineTo(gRadius + centerX, -fontSize);\n",
       "\t\t\t\tcontext.closePath();\n",
       "\t\t\t\tcontext.rotate(-hiddenLabel.angle);\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( context.isPointInPath(mouseXRel, mouseYRel) )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar label = String(hiddenLabel.value) + ' more';\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( hiddenLabel.search )\n",
       "\t\t\t\t    {\n",
       "\t\t\t\t\t\tlabel += searchResultString(hiddenLabel.search);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tMath.sqrt((mouseXRel) * (mouseXRel) + (mouseYRel) * (mouseYRel)) / backingScale() <\n",
       "\t\t\t\t\t\tgRadius + fontSize + measureText(label)\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\thighlighted = true;\n",
       "\t\t\t\t\t\tbreak;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( ! highlighted && this != selectedNode && ! this.getCollapse() )\n",
       "\t\t{\n",
       "\t\t\tcontext.beginPath();\n",
       "\t\t\tcontext.arc(0, 0, radiusInner, angleStartCurrent, angleEndCurrent, false);\n",
       "\t\t\tcontext.arc(0, 0, gRadius, angleEndCurrent, angleStartCurrent, true);\n",
       "\t\t\tcontext.closePath();\n",
       "\t\t\t\n",
       "\t\t\tif ( context.isPointInPath(mouseXRel, mouseYRel) )\n",
       "\t\t\t{\n",
       "\t\t\t\thighlighted = true;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\t! highlighted &&\n",
       "\t\t\t\t(angleEndCurrent - angleStartCurrent) *\n",
       "\t\t\t\t(radiusInner + gRadius) <\n",
       "\t\t\t\tminWidth() &&\n",
       "\t\t\t\tthis.getDepth() == selectedNode.getDepth() + 1\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( showKeys && this.checkHighlightKey() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thighlighted = true;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( highlighted )\n",
       "\t\t{\n",
       "\t\t\tif ( this != highlightedNode )\n",
       "\t\t\t{\n",
       "\t\t\t//\tdocument.body.style.cursor='pointer';\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\thighlightedNode = this;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn highlighted;\n",
       "\t}\n",
       "\t\n",
       "\tthis.checkHighlightCenter = function()\n",
       "\t{\n",
       "\t\tif ( ! this.canDisplayHistory() )\n",
       "\t\t{\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar cx = centerX;\n",
       "\t\tvar cy = centerY - this.labelRadius.end * gRadius;\n",
       "\t\t//var dim = context.measureText(this.name);\n",
       "\t\t\n",
       "\t\tvar width = this.nameWidth;\n",
       "\t\t\n",
       "\t\tif ( this.searchResultChildren() )\n",
       "\t\t{\n",
       "\t\t\tvar results = searchResultString(this.searchResultChildren());\n",
       "\t\t\tvar dim = context.measureText(results);\n",
       "\t\t\twidth += dim.width;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tmouseX > cx - width / 2 &&\n",
       "\t\t\tmouseX < cx + width / 2 &&\n",
       "\t\t\tmouseY > cy - historySpacingFactor * fontSize / 2 &&\n",
       "\t\t\tmouseY < cy + historySpacingFactor * fontSize / 2\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\thighlightedNode = this;\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.getParent() )\n",
       "\t\t{\n",
       "\t\t\tthis.getParent().checkHighlightCenter();\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.checkHighlightKey = function()\n",
       "\t{\n",
       "\t\tvar offset = keyOffset();\n",
       "\t\t\n",
       "\t\tvar xMin = imageWidth - keySize - margin - this.keyNameWidth - keyBuffer;\n",
       "\t\tvar xMax = imageWidth - margin;\n",
       "\t\tvar yMin = offset;\n",
       "\t\tvar yMax = offset + keySize;\n",
       "\t\t\n",
       "\t\tcurrentKey++;\n",
       "\t\t\n",
       "\t\treturn (\n",
       "\t\t\tmouseX > xMin &&\n",
       "\t\t\tmouseX < xMax &&\n",
       "\t\t\tmouseY > yMin &&\n",
       "\t\t\tmouseY < yMax);\n",
       "\t}\n",
       "\t\n",
       "\tthis.checkHighlightMap = function()\n",
       "\t{\n",
       "\t\tif ( this.parent )\n",
       "\t\t{\n",
       "\t\t\tthis.parent.checkHighlightMap();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.getCollapse() || this == focusNode )\n",
       "\t\t{\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar box = this.getMapPosition();\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tmouseX > box.x - mapRadius &&\n",
       "\t\t\tmouseX < box.x + mapRadius &&\n",
       "\t\t\tmouseY > box.y - mapRadius &&\n",
       "\t\t\tmouseY < box.y + mapRadius\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\thighlightedNode = this;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "/*\tthis.collapse = function()\n",
       "\t{\n",
       "\t\tfor (var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tthis.children[i] = this.children[i].collapse();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tthis.children.length == 1 &&\n",
       "\t\t\tthis.children[0].magnitude == this.magnitude\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tthis.children[0].parent = this.parent;\n",
       "\t\t\tthis.children[0].getDepth() = this.parent.getDepth() + 1;\n",
       "\t\t\treturn this.children[0];\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn this;\n",
       "\t\t}\n",
       "\t}\n",
       "*/\t\n",
       "\tthis.draw = function(labelMode, selected, searchHighlighted)\n",
       "\t{\n",
       "\t\tvar depth = this.getDepth() - selectedNode.getDepth() + 1;\n",
       "//\t\tvar hidden = false;\n",
       "\t\t\n",
       "\t\tif ( selectedNode == this )\n",
       "\t\t{\n",
       "\t\t\tselected = true;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar angleStartCurrent = this.angleStart.current() + rotationOffset;\n",
       "\t\tvar angleEndCurrent = this.angleEnd.current() + rotationOffset;\n",
       "\t\tvar radiusInner = this.radiusInner.current() * gRadius;\n",
       "\t\tvar canDisplayLabelCurrent = this.canDisplayLabelCurrent();\n",
       "\t\tvar hiddenSearchResults = false;\n",
       "\t\t\n",
       "/*\t\tif ( ! this.hide )\n",
       "\t\t{\n",
       "\t\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( this.children[i].hide && this.children[i].searchResults )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thiddenSearchResults = true;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "*/\t\t\n",
       "\t\tvar drawChildren =\n",
       "\t\t\t( ! this.hide || ! this.hidePrev && progress < 1 ) &&\n",
       "\t\t\t( ! this.hideAlone || ! this.hideAlonePrev && progress < 1 );\n",
       "\t\t\n",
       "//\t\tif ( this.alphaWedge.current() > 0 || this.alphaLabel.current() > 0 )\n",
       "\t\t{\n",
       "\t\t\tvar lastChildAngleEnd = angleStartCurrent;\n",
       "\t\t\t\n",
       "\t\t\tif ( this.hasChildren() )//canDisplayChildren )\n",
       "\t\t\t{\n",
       "\t\t\t\tlastChildAngleEnd =\n",
       "\t\t\t\t\tthis.children[this.children.length - 1].angleEnd.current()\n",
       "\t\t\t\t\t+ rotationOffset;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( labelMode )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar drawRadial =\n",
       "\t\t\t\t!(\n",
       "\t\t\t\t\tthis.parent &&\n",
       "\t\t\t\t\tthis.parent != selectedNode &&\n",
       "\t\t\t\t\tangleEndCurrent == this.parent.angleEnd.current() + rotationOffset\n",
       "\t\t\t\t);\n",
       "\t\t\t\t\n",
       "\t\t\t\t//if ( angleStartCurrent != angleEndCurrent )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.drawLines(angleStartCurrent, angleEndCurrent, radiusInner, drawRadial, selected);\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar alphaOtherCurrent = this.alphaOther.current();\n",
       "\t\t\t\tvar childRadiusInner;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this == selectedNode || alphaOtherCurrent )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tchildRadiusInner =\n",
       "\t\t\t\t\t\tthis.children.length ?\n",
       "\t\t\t\t\t\t\tthis.children[this.children.length - 1].radiusInner.current() * gRadius\n",
       "\t\t\t\t\t\t: radiusInner\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this == selectedNode )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.drawReferenceRings(childRadiusInner);\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tselected &&\n",
       "\t\t\t\t\t! searchHighlighted &&\n",
       "\t\t\t\t\tthis != selectedNode &&\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tthis.isSearchResult ||\n",
       "\t\t\t\t\t\tthis.hideAlone && this.searchResultChildren() ||\n",
       "\t\t\t\t\t\tfalse\n",
       "//\t\t\t\t\t\tthis.hide &&\n",
       "//\t\t\t\t\t\tthis.containsSearchResult\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tcontext.globalAlpha = this.alphaWedge.current();\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tdrawWedge\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tangleStartCurrent,\n",
       "\t\t\t\t\t\tangleEndCurrent,\n",
       "\t\t\t\t\t\tradiusInner,\n",
       "\t\t\t\t\t\tgRadius,\n",
       "\t\t\t\t\t\thighlightFill,\n",
       "\t\t\t\t\t\t0,\n",
       "\t\t\t\t\t\ttrue\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tthis.keyed &&\n",
       "\t\t\t\t\t\t! showKeys &&\n",
       "\t\t\t\t\t\tthis.searchResults &&\n",
       "\t\t\t\t\t\t! searchHighlighted &&\n",
       "\t\t\t\t\t\tthis != highlightedNode &&\n",
       "\t\t\t\t\t\tthis != focusNode\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar angle = (angleEndCurrent + angleStartCurrent) / 2;\n",
       "\t\t\t\t\t\tthis.drawLabel(angle, true, false, true, true);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\t//this.drawHighlight(false);\n",
       "\t\t\t\t\tsearchHighlighted = true;\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tthis == selectedNode ||\n",
       "//\t\t\t\t\ttrue\n",
       "\t\t\t\t\t//(canDisplayLabelCurrent) &&\n",
       "\t\t\t\t\tthis != highlightedNode &&\n",
       "\t\t\t\t\tthis != focusNode\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tif ( this.radial != this.radialPrev && this.alphaLabel.end == 1 )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tcontext.globalAlpha = tweenFactor;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\telse\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tcontext.globalAlpha = this.alphaLabel.current();\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tthis.drawLabel\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\t(angleStartCurrent + angleEndCurrent) / 2,\n",
       "\t\t\t\t\t\tthis.hideAlone && this.searchResultChildren() ||\n",
       "\t\t\t\t\t\t(this.isSearchResult || hiddenSearchResults) && selected,\n",
       "\t\t\t\t\t\tthis == selectedNode && ! this.radial,\n",
       "\t\t\t\t\t\tselected,\n",
       "\t\t\t\t\t\tthis.radial\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( this.radial != this.radialPrev && this.alphaLabel.start == 1 && progress < 1 )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tcontext.globalAlpha = 1 - tweenFactor;\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tthis.drawLabel\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\t(angleStartCurrent + angleEndCurrent) / 2,\n",
       "\t\t\t\t\t\t\t(this.isSearchResult || hiddenSearchResults) && selected,\n",
       "\t\t\t\t\t\t\tthis == selectedNodeLast && ! this.radialPrev,\n",
       "\t\t\t\t\t\t\tselected,\n",
       "\t\t\t\t\t\t\tthis.radialPrev\n",
       "\t\t\t\t\t\t);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\talphaOtherCurrent &&\n",
       "\t\t\t\t\tlastChildAngleEnd != null\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tif\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\t(angleEndCurrent - lastChildAngleEnd) *\n",
       "\t\t\t\t\t\t(childRadiusInner + gRadius) >=\n",
       "\t\t\t\t\t\tminWidth()\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\t//context.font = fontNormal;\n",
       "\t\t\t\t\t\tcontext.globalAlpha = this.alphaOther.current();\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tdrawTextPolar\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\tthis.getUnclassifiedText(),\n",
       "\t\t\t\t\t\t\tthis.getUnclassifiedPercentage(),\n",
       "\t\t\t\t\t\t\t(lastChildAngleEnd + angleEndCurrent) / 2,\n",
       "\t\t\t\t\t\t\t(childRadiusInner + gRadius) / 2,\n",
       "\t\t\t\t\t\t\ttrue,\n",
       "\t\t\t\t\t\t\tfalse,\n",
       "\t\t\t\t\t\t\tfalse,\n",
       "\t\t\t\t\t\t\t0,\n",
       "\t\t\t\t\t\t\t0\n",
       "\t\t\t\t\t\t);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this == selectedNode && this.keyUnclassified && showKeys )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.drawKey\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\t(lastChildAngleEnd + angleEndCurrent) / 2,\n",
       "\t\t\t\t\t\tfalse,\n",
       "\t\t\t\t\t\tfalse\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tvar alphaWedgeCurrent = this.alphaWedge.current();\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( alphaWedgeCurrent || this.alphaOther.current() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar currentR = this.r.current();\n",
       "\t\t\t\t\tvar currentG = this.g.current();\n",
       "\t\t\t\t\tvar currentB = this.b.current();\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\tvar fill = rgbText(currentR, currentG, currentB);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tvar radiusOuter;\n",
       "\t\t\t\t\tvar lastChildAngle;\n",
       "\t\t\t\t\tvar truncateWedge =\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\t(this.hasChildren() || this == selectedNode ) &&\n",
       "\t\t\t\t\t\t! this.keyed &&\n",
       "\t\t\t\t\t\t(compress || depth < maxDisplayDepth) &&\n",
       "\t\t\t\t\t\tdrawChildren\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( truncateWedge )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tradiusOuter = this.children.length ? this.children[0].radiusInner.current() * gRadius : radiusInner;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\telse\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tradiusOuter = gRadius;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t/*\n",
       "\t\t\t\t\tif ( this.hasChildren() )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tradiusOuter = this.children[0].getUncollapsed().radiusInner.current() * gRadius + 1;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\telse\n",
       "\t\t\t\t\t{ // TEMP\n",
       "\t\t\t\t\t\tradiusOuter = radiusInner + nodeRadius * gRadius;\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( radiusOuter > gRadius )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tradiusOuter = gRadius;\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t*/\n",
       "\t\t\t\t\tcontext.globalAlpha = alphaWedgeCurrent;\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( radiusInner != radiusOuter || truncateWedge )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tdrawWedge\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\tangleStartCurrent,\n",
       "\t\t\t\t\t\t\tangleEndCurrent,\n",
       "\t\t\t\t\t\t\tradiusInner,\n",
       "\t\t\t\t\t\t\tradiusOuter,//this.radiusOuter.current() * gRadius,\n",
       "\t\t\t\t\t\t\t//'rgba(0, 200, 0, .1)',\n",
       "\t\t\t\t\t\t\tfill,\n",
       "\t\t\t\t\t\t\tthis.alphaPattern.current()\n",
       "\t\t\t\t\t\t);\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( truncateWedge )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\t// fill in the extra space if the sum of our childrens'\n",
       "\t\t\t\t\t\t\t// magnitudes is less than ours\n",
       "\t\t\t\t\t\t\t\n",
       "\t\t\t\t\t\t\tif ( lastChildAngleEnd < angleEndCurrent )//&& false) // TEMP\n",
       "\t\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\t\tif ( radiusOuter > 1 )\n",
       "\t\t\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\t\t\t// overlap slightly to hide the seam\n",
       "\t\t\t\t\t\t\t\t\t\n",
       "\t//\t\t\t\t\t\t\t\tradiusOuter -= 1;\n",
       "\t\t\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\t\t\n",
       "\t\t\t\t\t\t\t\tif ( alphaWedgeCurrent < 1 )\n",
       "\t\t\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\t\t\tcontext.globalAlpha = this.alphaOther.current();\n",
       "\t\t\t\t\t\t\t\t\tdrawWedge\n",
       "\t\t\t\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\t\t\t\tlastChildAngleEnd,\n",
       "\t\t\t\t\t\t\t\t\t\tangleEndCurrent,\n",
       "\t\t\t\t\t\t\t\t\t\tradiusOuter,\n",
       "\t\t\t\t\t\t\t\t\t\tgRadius,\n",
       "\t\t\t\t\t\t\t\t\t\tcolorUnclassified,\n",
       "\t\t\t\t\t\t\t\t\t\t0\n",
       "\t\t\t\t\t\t\t\t\t);\n",
       "\t\t\t\t\t\t\t\t\tcontext.globalAlpha = alphaWedgeCurrent;\n",
       "\t\t\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\t\t\n",
       "\t\t\t\t\t\t\t\tdrawWedge\n",
       "\t\t\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\t\t\tlastChildAngleEnd,\n",
       "\t\t\t\t\t\t\t\t\tangleEndCurrent,\n",
       "\t\t\t\t\t\t\t\t\tradiusOuter,\n",
       "\t\t\t\t\t\t\t\t\tgRadius,//this.radiusOuter.current() * gRadius,\n",
       "\t\t\t\t\t\t\t\t\t//'rgba(200, 0, 0, .1)',\n",
       "\t\t\t\t\t\t\t\t\tfill,\n",
       "\t\t\t\t\t\t\t\t\tthis.alphaPattern.current()\n",
       "\t\t\t\t\t\t\t\t);\n",
       "\t\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( radiusOuter < gRadius )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\t// patch up the seam\n",
       "\t\t\t\t\t\t\t//\n",
       "\t\t\t\t\t\t\tcontext.beginPath();\n",
       "\t\t\t\t\t\t\tcontext.arc(0, 0, radiusOuter, angleStartCurrent/*lastChildAngleEnd*/, angleEndCurrent, false);\n",
       "\t\t\t\t\t\t\tcontext.strokeStyle = fill;\n",
       "\t\t\t\t\t\t\tcontext.lineWidth = 1;\n",
       "\t\t\t\t\t\t\tcontext.stroke();\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( this.keyed && selected && showKeys )//&& progress == 1 )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tthis.drawKey\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\t(angleStartCurrent + angleEndCurrent) / 2,\n",
       "\t\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\t\tthis == highlightedNode ||\n",
       "\t\t\t\t\t\t\t\tthis == focusNode ||\n",
       "\t\t\t\t\t\t\t\tthis.searchResults\n",
       "\t\t\t\t\t\t\t),\n",
       "\t\t\t\t\t\t\tthis == highlightedNode || this == focusNode\n",
       "\t\t\t\t\t\t);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tthis.hiddenLabels = Array();\n",
       "\t\t\n",
       "\t\tif ( drawChildren )\n",
       "\t\t{\n",
       "\t\t\t// draw children\n",
       "\t\t\t//\n",
       "\t\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( this.drawHiddenChildren(i, selected, labelMode, searchHighlighted) )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\ti = this.children[i].hiddenEnd;\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.children[i].draw(labelMode, selected, searchHighlighted);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t};\n",
       "\t\n",
       "\tthis.drawHiddenChildren = function\n",
       "\t(\n",
       "\t\tfirstHiddenChild,\n",
       "\t\tselected,\n",
       "\t\tlabelMode,\n",
       "\t\tsearchHighlighted\n",
       "\t)\n",
       "\t{\n",
       "\t\tvar firstChild = this.children[firstHiddenChild];\n",
       "\t\t\n",
       "\t\tif ( firstChild.hiddenEnd == null || firstChild.radiusInner.current() == 1 )\n",
       "\t\t{\n",
       "\t\t\treturn false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tfor ( var i = firstHiddenChild; i < firstChild.hiddenEnd; i++ )\n",
       "\t\t{\n",
       "\t\t\tif ( ! this.children[i].hide || ! this.children[i].hidePrev && progress < 1 )\n",
       "\t\t\t{\n",
       "\t\t\t\treturn false;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar angleStart = firstChild.angleStart.current() + rotationOffset;\n",
       "\t\tvar lastChild = this.children[firstChild.hiddenEnd];\n",
       "\t\tvar angleEnd = lastChild.angleEnd.current() + rotationOffset;\n",
       "\t\tvar radiusInner = gRadius * firstChild.radiusInner.current();\n",
       "\t\tvar hiddenChildren = firstChild.hiddenEnd - firstHiddenChild + 1;\n",
       "\t\t\n",
       "\t\tif ( labelMode )\n",
       "\t\t{\n",
       "\t\t\tvar hiddenSearchResults = 0;\n",
       "\t\t\t\n",
       "\t\t\tfor ( var i = firstHiddenChild; i <= firstChild.hiddenEnd; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\thiddenSearchResults += this.children[i].searchResults;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this.children[i].magnitude == 0 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thiddenChildren--;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\tselected &&\n",
       "\t\t\t\t(angleEnd - angleStart) * \n",
       "\t\t\t\t(gRadius + gRadius) >=\n",
       "\t\t\t\tminWidth() ||\n",
       "\t\t\t\tthis == highlightedNode &&\n",
       "\t\t\t\thiddenChildren ||\n",
       "\t\t\t\thiddenSearchResults\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.globalAlpha = this.alphaWedge.current();\n",
       "\t\t\t\t\n",
       "\t\t\t\tthis.drawHiddenLabel\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tangleStart,\n",
       "\t\t\t\t\tangleEnd,\n",
       "\t\t\t\t\thiddenChildren,\n",
       "\t\t\t\t\thiddenSearchResults\n",
       "\t\t\t\t);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar drawWedges = true;\n",
       "\t\t\n",
       "\t\tfor ( var i = firstHiddenChild; i <= firstChild.hiddenEnd; i++ )\n",
       "\t\t{\n",
       "\t\t\t// all hidden children must be completely hidden to draw together\n",
       "\t\t\t\n",
       "\t\t\tif ( this.children[i].alphaPattern.current() != this.children[i].alphaWedge.current() )\n",
       "\t\t\t{\n",
       "\t\t\t\tdrawWedges = false;\n",
       "\t\t\t\tbreak;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( labelMode )\n",
       "\t\t{\n",
       "\t\t\tif ( drawWedges )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar drawRadial = (angleEnd < this.angleEnd.current() + rotationOffset);\n",
       "\t\t\t\tthis.drawLines(angleStart, angleEnd, radiusInner, drawRadial);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( hiddenSearchResults && ! searchHighlighted )\n",
       "\t\t\t{\n",
       "\t\t\t\tdrawWedge\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tangleStart,\n",
       "\t\t\t\t\tangleEnd,\n",
       "\t\t\t\t\tradiusInner,\n",
       "\t\t\t\t\tgRadius,//this.radiusOuter.current() * gRadius,\n",
       "\t\t\t\t\thighlightFill,\n",
       "\t\t\t\t\t0,\n",
       "\t\t\t\t\ttrue\n",
       "\t\t\t\t);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse if ( drawWedges )\n",
       "\t\t{\n",
       "\t\t\tcontext.globalAlpha = this.alphaWedge.current();\n",
       "\t\t\t\n",
       "\t\t\tvar fill = rgbText\n",
       "\t\t\t(\n",
       "\t\t\t\tfirstChild.r.current(),\n",
       "\t\t\t\tfirstChild.g.current(),\n",
       "\t\t\t\tfirstChild.b.current()\n",
       "\t\t\t);\n",
       "\t\t\t\n",
       "\t\t\tdrawWedge\n",
       "\t\t\t(\n",
       "\t\t\t\tangleStart,\n",
       "\t\t\t\tangleEnd,\n",
       "\t\t\t\tradiusInner,\n",
       "\t\t\t\tgRadius,//this.radiusOuter.current() * gRadius,\n",
       "\t\t\t\tfill,\n",
       "\t\t\t\tcontext.globalAlpha,\n",
       "\t\t\t\tfalse\n",
       "\t\t\t);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn drawWedges;\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawHiddenLabel = function(angleStart, angleEnd, value, hiddenSearchResults)\n",
       "\t{\n",
       "\t\tvar textAngle = (angleStart + angleEnd) / 2;\n",
       "\t\tvar labelRadius = gRadius + fontSize;//(radiusInner + radius) / 2;\n",
       "\t\t\n",
       "\t\tvar hiddenLabel = Array();\n",
       "\t\t\n",
       "\t\thiddenLabel.value = value;\n",
       "\t\thiddenLabel.angle = textAngle;\n",
       "\t\thiddenLabel.search = hiddenSearchResults;\n",
       "\t\t\n",
       "\t\tthis.hiddenLabels.push(hiddenLabel);\n",
       "\t\t\n",
       "\t\tdrawTick(gRadius - fontSize * .75, fontSize * 1.5, textAngle);\n",
       "\t\tdrawTextPolar\n",
       "\t\t(\n",
       "\t\t\tvalue.toString() + ' more',\n",
       "\t\t\t0, // inner text\n",
       "\t\t\ttextAngle,\n",
       "\t\t\tlabelRadius,\n",
       "\t\t\ttrue, // radial\n",
       "\t\t\thiddenSearchResults, // bubble\n",
       "\t\t\tthis == highlightedNode || this == focusNode, // bold\n",
       "\t\t\tfalse,\n",
       "\t\t\thiddenSearchResults\n",
       "\t\t);\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawHighlight = function(bold)\n",
       "\t{\n",
       "\t\tvar angleStartCurrent = this.angleStart.current() + rotationOffset;\n",
       "\t\tvar angleEndCurrent = this.angleEnd.current() + rotationOffset;\n",
       "\t\tvar radiusInner = this.radiusInner.current() * gRadius;\n",
       "\t\t\n",
       "\t\t//this.setHighlightStyle();\n",
       "\t\t\n",
       "\t\tif ( this == focusNode && this == highlightedNode && this.hasChildren() )\n",
       "\t\t{\n",
       "//\t\t\tcontext.fillStyle = \"rgba(255, 255, 255, .3)\";\n",
       "\t\t\tarrow\n",
       "\t\t\t(\n",
       "\t\t\t\tangleStartCurrent,\n",
       "\t\t\t\tangleEndCurrent,\n",
       "\t\t\t\tradiusInner\n",
       "\t\t\t);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tdrawWedge\n",
       "\t\t\t(\n",
       "\t\t\t\tangleStartCurrent,\n",
       "\t\t\t\tangleEndCurrent,\n",
       "\t\t\t\tradiusInner,\n",
       "\t\t\t\tgRadius,\n",
       "\t\t\t\thighlightFill,\n",
       "\t\t\t\t0,\n",
       "\t\t\t\ttrue\n",
       "\t\t\t);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t// check if hidden children should be highlighted\n",
       "\t\t//\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\tthis.children[i].getDepth() - selectedNode.getDepth() + 1 <=\n",
       "\t\t\t\tmaxDisplayDepth &&\n",
       "\t\t\t\tthis.children[i].hiddenEnd != null\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tvar firstChild = this.children[i];\n",
       "\t\t\t\tvar lastChild = this.children[firstChild.hiddenEnd];\n",
       "\t\t\t\tvar hiddenAngleStart = firstChild.angleStart.current() + rotationOffset;\n",
       "\t\t\t\tvar hiddenAngleEnd = lastChild.angleEnd.current() + rotationOffset;\n",
       "\t\t\t\tvar hiddenRadiusInner = gRadius * firstChild.radiusInner.current();\n",
       "\t\t\t\t\n",
       "\t\t\t\tdrawWedge\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\thiddenAngleStart,\n",
       "\t\t\t\t\thiddenAngleEnd,\n",
       "\t\t\t\t\thiddenRadiusInner,\n",
       "\t\t\t\t\tgRadius,\n",
       "\t\t\t\t\t'rgba(255, 255, 255, .3)',\n",
       "\t\t\t\t\t0,\n",
       "\t\t\t\t\ttrue\n",
       "\t\t\t\t);\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( false && ! this.searchResults )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.drawHiddenLabel\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\thiddenAngleStart,\n",
       "\t\t\t\t\t\thiddenAngleEnd,\n",
       "\t\t\t\t\t\tfirstChild.hiddenEnd - i + 1\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\ti = firstChild.hiddenEnd;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "//\t\t\tcontext.strokeStyle = 'black';\n",
       "\t\tcontext.fillStyle = 'black';\n",
       "\t\t\n",
       "\t\tvar highlight = ! ( progress < 1 && zoomOut && this == selectedNodeLast );\n",
       "\t\t\n",
       "\t\tvar angle = (angleEndCurrent + angleStartCurrent) / 2;\n",
       "\t\t\n",
       "\t\tif ( ! (this.keyed && showKeys) )\n",
       "\t\t{\n",
       "\t\t\tthis.drawLabel(angle, true, bold, true, this.radial);\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawHighlightCenter = function()\n",
       "\t{\n",
       "\t\tif ( ! this.canDisplayHistory() )\n",
       "\t\t{\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.lineWidth = highlightLineWidth;\n",
       "\t\tcontext.strokeStyle = 'black';\n",
       "\t\tcontext.fillStyle = \"rgba(255, 255, 255, .6)\";\n",
       "\t\t\n",
       "\t\tcontext.fillStyle = 'black';\n",
       "\t\tthis.drawLabel(3 * Math.PI / 2, true, true, false);\n",
       "\t\tcontext.font = fontNormal;\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawKey = function(angle, highlight, bold)\n",
       "\t{\n",
       "\t\tvar offset = keyOffset();\n",
       "\t\tvar color;\n",
       "\t\tvar colorText = this.magnitude == 0 ? 'gray' : 'black';\n",
       "\t\tvar patternAlpha = this.alphaPattern.end;\n",
       "\t\tvar boxLeft = imageWidth - keySize - margin;\n",
       "\t\tvar textY = offset + keySize / 2;\n",
       "\t\t\n",
       "\t\tvar label;\n",
       "\t\tvar keyNameWidth;\n",
       "\t\t\n",
       "\t\tif ( this == selectedNode )\n",
       "\t\t{\n",
       "\t\t\tcolor = colorUnclassified;\n",
       "\t\t\tlabel =\n",
       "\t\t\t\tthis.getUnclassifiedText() +\n",
       "\t\t\t\t'   ' +\n",
       "\t\t\t\tthis.getUnclassifiedPercentage();\n",
       "\t\t\tkeyNameWidth = measureText(label, false);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tlabel = this.keyLabel;\n",
       "\t\t\tcolor = rgbText(this.r.end, this.g.end, this.b.end);\n",
       "\t\t\t\n",
       "\t\t\tif ( highlight )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( this.searchResultChildren() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlabel = label + searchResultString(this.searchResultChildren());\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tkeyNameWidth = measureText(label, bold);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tkeyNameWidth = this.keyNameWidth;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar textLeft = boxLeft - keyBuffer - keyNameWidth - fontSize / 2;\n",
       "\t\tvar labelLeft = textLeft;\n",
       "\t\t\n",
       "\t\tif ( labelLeft > keyMinTextLeft - fontSize / 2 )\n",
       "\t\t{\n",
       "\t\t\tkeyMinTextLeft -= fontSize / 2;\n",
       "\t\t\t\n",
       "\t\t\tif ( keyMinTextLeft < centerX - gRadius + fontSize / 2 )\n",
       "\t\t\t{\n",
       "\t\t\t\tkeyMinTextLeft = centerX - gRadius + fontSize / 2;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tlabelLeft = keyMinTextLeft;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar lineX = new Array();\n",
       "\t\tvar lineY = new Array();\n",
       "\t\t\n",
       "\t\tvar bendRadius;\n",
       "\t\tvar keyAngle = Math.atan((textY - centerY) / (labelLeft - centerX));\n",
       "\t\tvar arcAngle;\n",
       "\t\t\n",
       "\t\tif ( keyAngle < 0 )\n",
       "\t\t{\n",
       "\t\t\tkeyAngle += Math.PI;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( keyMinAngle == 0 || angle < keyMinAngle )\n",
       "\t\t{\n",
       "\t\t\tkeyMinAngle = angle;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( angle > Math.PI && keyMinAngle > Math.PI )\n",
       "\t\t{\n",
       "\t\t\t// allow lines to come underneath the chart\n",
       "\t\t\t\n",
       "\t\t\tangle -= Math.PI * 2;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tlineX.push(Math.cos(angle) * gRadius);\n",
       "\t\tlineY.push(Math.sin(angle) * gRadius);\n",
       "\t\t\n",
       "\t\tif ( angle < keyAngle && textY > centerY + Math.sin(angle) * (gRadius + buffer * (currentKey - 1) / (keys + 1) / 2 + buffer / 2) )\n",
       "\t\t{\n",
       "\t\t\tbendRadius = gRadius + buffer - buffer * currentKey / (keys + 1) / 2;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tbendRadius = gRadius + buffer * currentKey / (keys + 1) / 2 + buffer / 2;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar outside =\n",
       "\t\t\tMath.sqrt\n",
       "\t\t\t(\n",
       "\t\t\t\tMath.pow(labelLeft - centerX, 2) +\n",
       "\t\t\t\tMath.pow(textY - centerY, 2)\n",
       "\t\t\t) > bendRadius;\n",
       "\t\t\n",
       "\t\tif ( ! outside )\n",
       "\t\t{\n",
       "\t\t\tarcAngle = Math.asin((textY - centerY) / bendRadius);\n",
       "\t\t\t\n",
       "\t\t\tkeyMinTextLeft = min(keyMinTextLeft, centerX + bendRadius * Math.cos(arcAngle) - fontSize / 2);\n",
       "\t\t\t\n",
       "\t\t\tif ( labelLeft < textLeft && textLeft > centerX + bendRadius * Math.cos(arcAngle) )\n",
       "\t\t\t{\n",
       "\t\t\t\tlineX.push(textLeft - centerX);\n",
       "\t\t\t\tlineY.push(textY - centerY);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tkeyMinTextLeft = min(keyMinTextLeft, labelLeft - fontSize / 2);\n",
       "\t\t\t\n",
       "\t\t\tif ( angle < keyAngle )\n",
       "\t\t\t{\n",
       "\t\t\t\t// flip everything over y = x\n",
       "\t\t\t\t//\n",
       "\t\t\t\tarcAngle = Math.PI / 2 - keyLineAngle\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tMath.PI / 2 - angle,\n",
       "\t\t\t\t\tMath.PI / 2 - keyAngle,\n",
       "\t\t\t\t\tbendRadius,\n",
       "\t\t\t\t\ttextY - centerY,\n",
       "\t\t\t\t\tlabelLeft - centerX,\n",
       "\t\t\t\t\tlineY,\n",
       "\t\t\t\t\tlineX\n",
       "\t\t\t\t);\n",
       "\t\t\t\t\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tarcAngle = keyLineAngle\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tangle,\n",
       "\t\t\t\t\tkeyAngle,\n",
       "\t\t\t\t\tbendRadius,\n",
       "\t\t\t\t\tlabelLeft - centerX,\n",
       "\t\t\t\t\ttextY - centerY,\n",
       "\t\t\t\t\tlineX,\n",
       "\t\t\t\t\tlineY\n",
       "\t\t\t\t);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( labelLeft > centerX + bendRadius * Math.cos(arcAngle) ||\n",
       "\t\ttextY > centerY + bendRadius * Math.sin(arcAngle) + .01)\n",
       "//\t\tif ( outside ||  )\n",
       "\t\t{\n",
       "\t\t\tlineX.push(labelLeft - centerX);\n",
       "\t\t\tlineY.push(textY - centerY);\n",
       "\t\t\t\n",
       "\t\t\tif ( textLeft != labelLeft )\n",
       "\t\t\t{\n",
       "\t\t\t\tlineX.push(textLeft - centerX);\n",
       "\t\t\t\tlineY.push(textY - centerY);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.globalAlpha = this.alphaWedge.current();\n",
       "\t\t\n",
       "\t\tif ( snapshotMode )\n",
       "\t\t{\n",
       "\t\t\tvar labelSVG;\n",
       "\t\t\t\n",
       "\t\t\tif ( this == selectedNode )\n",
       "\t\t\t{\n",
       "\t\t\t\tlabelSVG =\n",
       "\t\t\t\t\tthis.getUnclassifiedText() +\n",
       "\t\t\t\t\tspacer() +\n",
       "\t\t\t\t\tthis.getUnclassifiedPercentage();\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tlabelSVG = this.name + spacer() + this.getPercentage() + '%';\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tsvg +=\n",
       "\t\t\t\t'<rect fill=\"' + color + '\" ' +\n",
       "\t\t\t\t'x=\"' + boxLeft + '\" y=\"' + offset +\n",
       "\t\t\t\t'\" width=\"' + keySize + '\" height=\"' + keySize + '\"/>';\n",
       "\t\t\t\n",
       "\t\t\tif ( patternAlpha )\n",
       "\t\t\t{\n",
       "\t\t\t\tsvg +=\n",
       "\t\t\t\t\t'<rect fill=\"url(#hiddenPattern)\" style=\"stroke:none\" ' +\n",
       "\t\t\t\t\t'x=\"' + boxLeft + '\" y=\"' + offset +\n",
       "\t\t\t\t\t'\" width=\"' + keySize + '\" height=\"' + keySize + '\"/>';\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tsvg +=\n",
       "\t\t\t\t'<path class=\"line' +\n",
       "\t\t\t\t(highlight ? ' highlight' : '') +\n",
       "\t\t\t\t'\" d=\"M ' + (lineX[0] + centerX) + ',' +\n",
       "\t\t\t\t(lineY[0] + centerY);\n",
       "\t\t\t\n",
       "\t\t\tif ( angle != arcAngle )\n",
       "\t\t\t{\n",
       "\t\t\t\tsvg +=\n",
       "\t\t\t\t\t' L ' + (centerX + bendRadius * Math.cos(angle)) + ',' +\n",
       "\t\t\t\t\t(centerY + bendRadius * Math.sin(angle)) +\n",
       "\t\t\t\t\t' A ' + bendRadius + ',' + bendRadius + ' 0 ' +\n",
       "\t\t\t\t\t'0,' + (angle > arcAngle ? '0' : '1') + ' ' +\n",
       "\t\t\t\t\t(centerX + bendRadius * Math.cos(arcAngle)) + ',' +\n",
       "\t\t\t\t\t(centerY + bendRadius * Math.sin(arcAngle));\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tfor ( var i = 1; i < lineX.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tsvg +=\n",
       "\t\t\t\t\t' L ' + (centerX + lineX[i]) + ',' +\n",
       "\t\t\t\t\t(centerY + lineY[i]);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tsvg += '\"/>';\n",
       "\t\t\t\n",
       "\t\t\tif ( highlight )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( this.searchResultChildren() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlabelSVG = labelSVG + searchResultString(this.searchResultChildren());\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tdrawBubbleSVG\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tboxLeft - keyBuffer - keyNameWidth - fontSize / 2,\n",
       "\t\t\t\t\ttextY - fontSize,\n",
       "\t\t\t\t\tkeyNameWidth + fontSize,\n",
       "\t\t\t\t\tfontSize * 2,\n",
       "\t\t\t\t\tfontSize,\n",
       "\t\t\t\t\t0\n",
       "\t\t\t\t);\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this.isSearchResult )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdrawSearchHighlights\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tlabel,\n",
       "\t\t\t\t\t\tboxLeft - keyBuffer - keyNameWidth,\n",
       "\t\t\t\t\t\ttextY,\n",
       "\t\t\t\t\t\t0\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tsvg += svgText(labelSVG, boxLeft - keyBuffer, textY, 'end', bold, colorText);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.fillStyle = color;\n",
       "\t\t\tcontext.translate(-centerX, -centerY);\n",
       "\t\t\tcontext.strokeStyle = 'black';\n",
       "\t\t\t\tcontext.globalAlpha = 1;//this.alphaWedge.current();\n",
       "\t\t\t\n",
       "\t\t\tcontext.fillRect(boxLeft, offset, keySize, keySize);\n",
       "\t\t\t\n",
       "\t\t\tif ( patternAlpha )\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.globalAlpha = patternAlpha;\n",
       "\t\t\t\tcontext.fillStyle = hiddenPattern;\n",
       "\t\t\t\t\n",
       "\t\t\t\t// make clipping box for Firefox performance\n",
       "\t\t\t\tcontext.beginPath();\n",
       "\t\t\t\tcontext.moveTo(boxLeft, offset);\n",
       "\t\t\t\tcontext.lineTo(boxLeft + keySize, offset);\n",
       "\t\t\t\tcontext.lineTo(boxLeft + keySize, offset + keySize);\n",
       "\t\t\t\tcontext.lineTo(boxLeft, offset + keySize);\n",
       "\t\t\t\tcontext.closePath();\n",
       "\t\t\t\tcontext.save();\n",
       "\t\t\t\tcontext.clip();\n",
       "\t\t\t\t\n",
       "\t\t\t\tcontext.fillRect(boxLeft, offset, keySize, keySize);\n",
       "\t\t\t\tcontext.fillRect(boxLeft, offset, keySize, keySize);\n",
       "\t\t\t\t\n",
       "\t\t\t\tcontext.restore(); // remove clipping region\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( highlight )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.setHighlightStyle();\n",
       "\t\t\t\tcontext.fillRect(boxLeft, offset, keySize, keySize);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.lineWidth = thinLineWidth;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tcontext.strokeRect(boxLeft, offset, keySize, keySize);\n",
       "\t\t\t\n",
       "\t\t\tif ( lineX.length )\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.beginPath();\n",
       "\t\t\t\tcontext.moveTo(lineX[0] + centerX, lineY[0] + centerY);\n",
       "\t\t\t\t\n",
       "\t\t\t\tcontext.arc(centerX, centerY, bendRadius, angle, arcAngle, angle > arcAngle);\n",
       "\t\t\t\t\n",
       "\t\t\t\tfor ( var i = 1; i < lineX.length; i++ )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tcontext.lineTo(lineX[i] + centerX, lineY[i] + centerY);\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tcontext.globalAlpha = this == selectedNode ?\n",
       "\t\t\t\t\tthis.children[0].alphaWedge.current() :\n",
       "\t\t\t\t\tthis.alphaWedge.current();\n",
       "\t\t\t\tcontext.lineWidth = highlight ? highlightLineWidth : thinLineWidth;\n",
       "\t\t\t\tcontext.stroke();\n",
       "\t\t\t\tcontext.globalAlpha = 1;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( highlight )\n",
       "\t\t\t{\n",
       "\t\t\t\tdrawBubbleCanvas\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tboxLeft - keyBuffer - keyNameWidth - fontSize / 2,\n",
       "\t\t\t\t\ttextY - fontSize,\n",
       "\t\t\t\t\tkeyNameWidth + fontSize,\n",
       "\t\t\t\t\tfontSize * 2,\n",
       "\t\t\t\t\tfontSize,\n",
       "\t\t\t\t\t0\n",
       "\t\t\t\t);\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this.isSearchResult )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdrawSearchHighlights\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tlabel,\n",
       "\t\t\t\t\t\tboxLeft - keyBuffer - keyNameWidth,\n",
       "\t\t\t\t\t\ttextY,\n",
       "\t\t\t\t\t\t0\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tdrawText(label, boxLeft - keyBuffer, offset + keySize / 2, 0, 'end', bold, colorText);\n",
       "\t\t\t\n",
       "\t\t\tcontext.translate(centerX, centerY);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcurrentKey++;\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawLabel = function(angle, bubble, bold, selected, radial)\n",
       "\t{\n",
       "\t\tif ( context.globalAlpha == 0 )\n",
       "\t\t{\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar innerText;\n",
       "\t\tvar label;\n",
       "\t\tvar radius;\n",
       "\t\t\n",
       "\t\tif ( radial )\n",
       "\t\t{\n",
       "\t\t\tradius = (this.radiusInner.current() + 1) * gRadius / 2;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tradius = this.labelRadius.current() * gRadius;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( radial && (selected || bubble ) )\n",
       "\t\t{\n",
       "\t\t\tvar percentage = this.getPercentage();\n",
       "\t\t\tinnerText = percentage + '%';\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\t! radial &&\n",
       "\t\t\tthis != selectedNode &&\n",
       "\t\t\t! bubble &&\n",
       "\t\t\t( !zoomOut || this != selectedNodeLast)\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tlabel = this.shortenLabel();\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tlabel = this.name;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar flipped = drawTextPolar\n",
       "\t\t(\n",
       "\t\t\tlabel,\n",
       "\t\t\tinnerText,\n",
       "\t\t\tangle,\n",
       "\t\t\tradius,\n",
       "\t\t\tradial,\n",
       "\t\t\tbubble,\n",
       "\t\t\tbold,\n",
       "//\t\t\tthis.isSearchResult && this.shouldAddSearchResultsString() && (!selected || this == selectedNode || highlight),\n",
       "\t\t\tthis.isSearchResult && (!selected || this == selectedNode || bubble),\n",
       "\t\t\t(this.hideAlone || !selected || this == selectedNode ) ? this.searchResultChildren() : 0\n",
       "\t\t);\n",
       "\t\t\n",
       "\t\tvar depth = this.getDepth() - selectedNode.getDepth() + 1;\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\t! radial &&\n",
       "\t\t\t! bubble &&\n",
       "\t\t\tthis != selectedNode &&\n",
       "\t\t\tthis.angleEnd.end != this.angleStart.end &&\n",
       "\t\t\tnLabelOffsets[depth - 2] > 2 &&\n",
       "\t\t\tthis.labelWidth.current() > (this.angleEnd.end - this.angleStart.end) * Math.abs(radius) &&\n",
       "\t\t\t! ( zoomOut && this == selectedNodeLast ) &&\n",
       "\t\t\tthis.labelRadius.end > 0\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\t// name extends beyond wedge; draw tick mark towards the central\n",
       "\t\t\t// radius for easier identification\n",
       "\t\t\t\n",
       "\t\t\tvar radiusCenter = compress ?\n",
       "\t\t\t\t(compressedRadii[depth - 1] + compressedRadii[depth - 2]) / 2 :\n",
       "\t\t\t\t(depth - .5) * nodeRadius;\n",
       "\t\t\t\n",
       "\t\t\tif ( this.labelRadius.end > radiusCenter )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( flipped )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdrawTick(radius - tickLength * 1.4 , tickLength, angle);\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdrawTick(radius - tickLength * 1.7, tickLength, angle);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( flipped )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdrawTick(radius + tickLength * .7, tickLength, angle);\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdrawTick(radius + tickLength * .4, tickLength, angle);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawLines = function(angleStart, angleEnd, radiusInner, drawRadial, selected)\n",
       "\t{\n",
       "\t\tif ( snapshotMode )\n",
       "\t\t{\n",
       "\t\t\tif ( this != selectedNode)\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( angleEnd == angleStart + Math.PI * 2 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\t// fudge to prevent overlap, which causes arc ambiguity\n",
       "\t\t\t\t\t//\n",
       "\t\t\t\t\tangleEnd -= .1 / gRadius;\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar longArc = angleEnd - angleStart > Math.PI ? 1 : 0;\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar x1 = centerX + radiusInner * Math.cos(angleStart);\n",
       "\t\t\t\tvar y1 = centerY + radiusInner * Math.sin(angleStart);\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar x2 = centerX + gRadius * Math.cos(angleStart);\n",
       "\t\t\t\tvar y2 = centerY + gRadius * Math.sin(angleStart);\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar x3 = centerX + gRadius * Math.cos(angleEnd);\n",
       "\t\t\t\tvar y3 = centerY + gRadius * Math.sin(angleEnd);\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar x4 = centerX + radiusInner * Math.cos(angleEnd);\n",
       "\t\t\t\tvar y4 = centerY + radiusInner * Math.sin(angleEnd);\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( this.alphaArc.end )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar dArray =\n",
       "\t\t\t\t\t[\n",
       "\t\t\t\t\t\t\" M \", x4, \",\", y4,\n",
       "\t\t\t\t\t\t\" A \", radiusInner, \",\", radiusInner, \" 0 \", longArc,\n",
       "\t\t\t\t\t\t\t\" 0 \", x1, \",\", y1\n",
       "\t\t\t\t\t];\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tsvg += '<path class=\"line\" d=\"' + dArray.join('') + '\"/>';\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( drawRadial && this.alphaLine.end )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tsvg += '<line x1=\"' + x3 + '\" y1=\"' + y3 + '\" x2=\"' + x4 + '\" y2=\"' + y4 + '\"/>';\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.lineWidth = thinLineWidth;\n",
       "\t\t\tcontext.strokeStyle = 'black';\n",
       "\t\t\tcontext.beginPath();\n",
       "\t\t\tcontext.arc(0, 0, radiusInner, angleStart, angleEnd, false);\n",
       "\t\t\tcontext.globalAlpha = this.alphaArc.current();\n",
       "\t\t\tcontext.stroke();\n",
       "\t\t\t\n",
       "\t\t\tif ( drawRadial )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar x1 = radiusInner * Math.cos(angleEnd);\n",
       "\t\t\t\tvar y1 = radiusInner * Math.sin(angleEnd);\n",
       "\t\t\t\tvar x2 = gRadius * Math.cos(angleEnd);\n",
       "\t\t\t\tvar y2 = gRadius * Math.sin(angleEnd);\n",
       "\t\t\t\t\n",
       "\t\t\t\tcontext.beginPath();\n",
       "\t\t\t\tcontext.moveTo(x1, y1);\n",
       "\t\t\t\tcontext.lineTo(x2, y2);\n",
       "\t\t\t\t\n",
       "//\t\t\t\tif ( this.getCollapse() )//( selected && this != selectedNode )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tcontext.globalAlpha = this.alphaLine.current();\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tcontext.stroke();\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawMap = function(child)\n",
       "\t{\n",
       "\t\tif ( this.parent )\n",
       "\t\t{\n",
       "\t\t\tthis.parent.drawMap(child);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.getCollapse() && this != child || this == focusNode )\n",
       "\t\t{\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar angleStart =\n",
       "\t\t\t(child.baseMagnitude - this.baseMagnitude) / this.magnitude * Math.PI * 2 +\n",
       "\t\t\trotationOffset;\n",
       "\t\tvar angleEnd =\n",
       "\t\t\t(child.baseMagnitude - this.baseMagnitude + child.magnitude) /\n",
       "\t\t\tthis.magnitude * Math.PI * 2 +\n",
       "\t\t\trotationOffset;\n",
       "\t\t\n",
       "\t\tvar box = this.getMapPosition();\n",
       "\t\t\n",
       "\t\tcontext.save();\n",
       "\t\tcontext.fillStyle = 'black';\n",
       "\t\tcontext.textAlign = 'end';\n",
       "\t\tcontext.textBaseline = 'middle';\n",
       "\t\t\n",
       "\t\tvar textX = box.x - mapRadius - mapBuffer;\n",
       "\t\tvar percentage = getPercentage(child.magnitude / this.magnitude);\n",
       "\t\t\n",
       "\t\tvar highlight = this == selectedNode || this == highlightedNode;\n",
       "\t\t\n",
       "\t\tif ( highlight )\n",
       "\t\t{\n",
       "\t\t\tcontext.font = fontBold;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.font = fontNormal;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.fillText(percentage + '% of', textX, box.y - mapRadius / 3);\n",
       "\t\tcontext.fillText(this.name, textX, box.y + mapRadius / 3);\n",
       "\t\t\n",
       "\t\tif ( highlight )\n",
       "\t\t{\n",
       "\t\t\tcontext.font = fontNormal;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this == highlightedNode && this != selectedNode )\n",
       "\t\t{\n",
       "\t\t\tcontext.fillStyle = 'rgb(245, 245, 245)';\n",
       "//\t\t\tcontext.fillStyle = 'rgb(200, 200, 200)';\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.fillStyle = 'rgb(255, 255, 255)';\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.beginPath();\n",
       "\t\tcontext.arc(box.x, box.y, mapRadius, 0, Math.PI * 2, true);\n",
       "\t\tcontext.closePath();\n",
       "\t\tcontext.fill();\n",
       "\t\t\n",
       "\t\tif ( this == selectedNode )\n",
       "\t\t{\n",
       "\t\t\tcontext.lineWidth = 1;\n",
       "\t\t\tcontext.fillStyle = 'rgb(100, 100, 100)';\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tif ( this == highlightedNode )\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.lineWidth = .2;\n",
       "\t\t\t\tcontext.fillStyle = 'rgb(190, 190, 190)';\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.lineWidth = .2;\n",
       "\t\t\t\tcontext.fillStyle = 'rgb(200, 200, 200)';\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar maxDepth = this.getMaxDepth();\n",
       "\t\t\n",
       "\t\tif ( ! compress && maxDepth > maxPossibleDepth + this.getDepth() - 1 )\n",
       "\t\t{\n",
       "\t\t\tmaxDepth = maxPossibleDepth + this.getDepth() - 1;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.getDepth() < selectedNode.getDepth() )\n",
       "\t\t{\n",
       "\t\t\tif ( child.getDepth() - 1 >= maxDepth )\n",
       "\t\t\t{\n",
       "\t\t\t\tmaxDepth = child.getDepth();\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar radiusInner;\n",
       "\t\t\n",
       "\t\tif ( compress )\n",
       "\t\t{\n",
       "\t\t\tradiusInner = 0;\n",
       "//\t\t\t\tMath.atan(child.getDepth() - this.getDepth()) /\n",
       "//\t\t\t\tMath.PI * 2 * .9;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tradiusInner =\n",
       "\t\t\t\t(child.getDepth() - this.getDepth()) /\n",
       "\t\t\t\t(maxDepth - this.getDepth() + 1);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.stroke();\n",
       "\t\tcontext.beginPath();\n",
       "\t\t\n",
       "\t\tif ( radiusInner == 0 )\n",
       "\t\t{\n",
       "\t\t\tcontext.moveTo(box.x, box.y);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.arc(box.x, box.y, mapRadius * radiusInner, angleEnd, angleStart, true);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.arc(box.x, box.y, mapRadius, angleStart, angleEnd, false);\n",
       "\t\tcontext.closePath();\n",
       "\t\tcontext.fill();\n",
       "\t\t\n",
       "\t\tif ( this == highlightedNode && this != selectedNode )\n",
       "\t\t{\n",
       "\t\t\tcontext.lineWidth = 1;\n",
       "\t\t\tcontext.stroke();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.restore();\n",
       "\t}\n",
       "\t\n",
       "\tthis.drawReferenceRings = function(childRadiusInner)\n",
       "\t{\n",
       "\t\tif ( snapshotMode )\n",
       "\t\t{\n",
       "\t\t\tsvg +=\n",
       "\t\t\t\t'<circle cx=\"' + centerX + '\" cy=\"' + centerY +\n",
       "\t\t\t\t'\" r=\"' + childRadiusInner + '\"/>';\n",
       "\t\t\tsvg +=\n",
       "\t\t\t\t'<circle cx=\"' + centerX + '\" cy=\"' + centerY +\n",
       "\t\t\t\t'\" r=\"' + gRadius + '\"/>';\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.globalAlpha = 1 - this.alphaLine.current();//this.getUncollapsed().alphaLine.current();\n",
       "\t\t\tcontext.beginPath();\n",
       "\t\t\tcontext.arc(0, 0, childRadiusInner, 0, Math.PI * 2, false);\n",
       "\t\t\tcontext.stroke();\n",
       "\t\t\tcontext.beginPath();\n",
       "\t\t\tcontext.arc(0, 0, gRadius, 0, Math.PI * 2, false);\n",
       "\t\t\tcontext.stroke();\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.getCollapse = function()\n",
       "\t{\n",
       "\t\treturn (\n",
       "\t\t\tcollapse &&\n",
       "\t\t\tthis.collapse &&\n",
       "\t\t\tthis.depth != maxAbsoluteDepth\n",
       "\t\t\t);\n",
       "\t}\n",
       "\t\n",
       "\tthis.getDepth = function()\n",
       "\t{\n",
       "\t\tif ( collapse )\n",
       "\t\t{\n",
       "\t\t\treturn this.depthCollapsed;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn this.depth;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.getMagnitude = function()\n",
       "\t{\n",
       "\t\treturn this.attributes[magnitudeIndex][currentDataset];\n",
       "\t}\n",
       "\t\n",
       "\tthis.getMapPosition = function()\n",
       "\t{\n",
       "\t\treturn {\n",
       "\t\t\tx : (details.offsetLeft + details.clientWidth - mapRadius),\n",
       "\t\t\ty : ((focusNode.getDepth() - this.getDepth()) *\n",
       "\t\t\t\t(mapBuffer + mapRadius * 2) - mapRadius) +\n",
       "\t\t\t\tdetails.clientHeight + details.offsetTop\n",
       "\t\t};\n",
       "\t}\n",
       "\t\n",
       "\tthis.getMaxDepth = function(limit)\n",
       "\t{\n",
       "\t\tvar max;\n",
       "\t\t\n",
       "\t\tif ( collapse )\n",
       "\t\t{\n",
       "\t\t\treturn this.maxDepthCollapsed;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tif ( this.maxDepth > maxAbsoluteDepth )\n",
       "\t\t\t{\n",
       "\t\t\t\treturn maxAbsoluteDepth;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\treturn this.maxDepth;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.getData = function(index, summary)\n",
       "\t{\n",
       "\t\tvar files = new Array();\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tthis.attributes[index] != null &&\n",
       "\t\t\tthis.attributes[index][currentDataset] != null &&\n",
       "\t\t\tthis.attributes[index][currentDataset] != ''\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tfiles.push\n",
       "\t\t\t(\n",
       "\t\t\t\tdocument.location +\n",
       "\t\t\t\t'.files/' +\n",
       "\t\t\t\tthis.attributes[index][currentDataset]\n",
       "\t\t\t);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( summary )\n",
       "\t\t{\n",
       "\t\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tfiles = files.concat(this.children[i].getData(index, true));\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn files;\n",
       "\t}\n",
       "\t\n",
       "\tthis.getList = function(index, summary)\n",
       "\t{\n",
       "\t\tvar list;\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tthis.attributes[index] != null &&\n",
       "\t\t\tthis.attributes[index][currentDataset] != null\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tlist = this.attributes[index][currentDataset];\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tlist = new Array();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( summary )\n",
       "\t\t{\n",
       "\t\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tlist = list.concat(this.children[i].getList(index, true));\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn list;\n",
       "\t}\n",
       "\t\n",
       "\tthis.getParent = function()\n",
       "\t{\n",
       "\t\t// returns parent, accounting for collapsing or 0 if doesn't exist\n",
       "\t\t\n",
       "\t\tvar parent = this.parent;\n",
       "\t\t\n",
       "\t\twhile ( parent != 0 && parent.getCollapse() )\n",
       "\t\t{\n",
       "\t\t\tparent = parent.parent;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn parent;\n",
       "\t}\n",
       "\t\n",
       "\tthis.getPercentage = function()\n",
       "\t{\n",
       "\t\treturn getPercentage(this.magnitude / selectedNode.magnitude);\n",
       "\t}\n",
       "\t\n",
       "\tthis.getUnclassifiedPercentage = function()\n",
       "\t{\n",
       "\t\tif ( this.children.length )\n",
       "\t\t{\n",
       "\t\t\tvar lastChild = this.children[this.children.length - 1];\n",
       "\t\t\n",
       "\t\t\treturn getPercentage\n",
       "\t\t\t(\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tthis.baseMagnitude +\n",
       "\t\t\t\t\tthis.magnitude -\n",
       "\t\t\t\t\tlastChild.magnitude -\n",
       "\t\t\t\t\tlastChild.baseMagnitude\n",
       "\t\t\t\t) / this.magnitude\n",
       "\t\t\t) + '%';\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn '100%';\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.getUnclassifiedText = function()\n",
       "\t{\n",
       "\t\treturn '[other '+ this.name + ']';\n",
       "\t}\n",
       "\t\n",
       "\tthis.getUncollapsed = function()\n",
       "\t{\n",
       "\t\t// recurse through collapsed children until uncollapsed node is found\n",
       "\t\t\n",
       "\t\tif ( this.getCollapse() )\n",
       "\t\t{\n",
       "\t\t\treturn this.children[0].getUncollapsed();\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn this;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.hasChildren = function()\n",
       "\t{\n",
       "\t\treturn this.children.length && this.depth < maxAbsoluteDepth && this.magnitude;\n",
       "\t}\n",
       "\t\n",
       "\tthis.hasParent = function(parent)\n",
       "\t{\n",
       "\t\tif ( this.parent )\n",
       "\t\t{\n",
       "\t\t\tif ( this.parent == parent )\n",
       "\t\t\t{\n",
       "\t\t\t\treturn true;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\treturn this.parent.hasParent(parent);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn false;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.maxVisibleDepth = function(maxDepth)\n",
       "\t{\n",
       "\t\tvar childInnerRadius;\n",
       "\t\tvar depth = this.getDepth() - selectedNode.getDepth() + 1;\n",
       "\t\tvar currentMaxDepth = depth;\n",
       "\t\t\n",
       "\t\tif ( this.hasChildren() && depth < maxDepth)\n",
       "\t\t{\n",
       "\t\t\tvar lastChild = this.children[this.children.length - 1];\n",
       "\t\t\t\n",
       "\t\t\tif ( this.name == 'Pseudomonadaceae' )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar x = 3;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\tlastChild.baseMagnitude + lastChild.magnitude <\n",
       "\t\t\t\tthis.baseMagnitude + this.magnitude\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tcurrentMaxDepth++;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( compress )\n",
       "\t\t\t{\n",
       "\t\t\t\tchildInnerRadius = compressedRadii[depth - 1];\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tchildInnerRadius = (depth) / maxDepth;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(//true ||\n",
       "\t\t\t\t\tthis.children[i].magnitude *\n",
       "\t\t\t\t\tangleFactor *\n",
       "\t\t\t\t\t(childInnerRadius + 1) *\n",
       "\t\t\t\t\tgRadius >=\n",
       "\t\t\t\t\tminWidth()\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar childMaxDepth = this.children[i].maxVisibleDepth(maxDepth);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( childMaxDepth > currentMaxDepth )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tcurrentMaxDepth = childMaxDepth;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn currentMaxDepth;\n",
       "\t}\n",
       "\t\n",
       "\tthis.resetLabelWidth = function()\n",
       "\t{\n",
       "\t\tvar nameWidthOld = this.nameWidth;\n",
       "\t\t\n",
       "\t\tif ( true || ! this.radial )//&& fontSize != fontSizeLast )\n",
       "\t\t{\n",
       "\t\t\tvar dim = context.measureText(this.name);\n",
       "\t\t\tthis.nameWidth = dim.width;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( fontSize != fontSizeLast && this.labelWidth.end == nameWidthOld * labelWidthFudge )\n",
       "\t\t{\n",
       "\t\t\t// font size changed; adjust start of tween to match\n",
       "\t\t\t\n",
       "\t\t\tthis.labelWidth.start = this.nameWidth * labelWidthFudge;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.labelWidth.start = this.labelWidth.current();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tthis.labelWidth.end = this.nameWidth * labelWidthFudge;\n",
       "\t}\n",
       "\t\n",
       "\tthis.restrictLabelWidth = function(width)\n",
       "\t{\n",
       "\t\tif ( width < this.labelWidth.end )\n",
       "\t\t{\n",
       "\t\t\tthis.labelWidth.end = width;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.search = function()\n",
       "\t{\n",
       "\t\tthis.isSearchResult = false;\n",
       "\t\tthis.searchResults = 0;\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\t! this.getCollapse() &&\n",
       "\t\t\tsearch.value != '' &&\n",
       "\t\t\tthis.name.toLowerCase().indexOf(search.value.toLowerCase()) != -1\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tthis.isSearchResult = true;\n",
       "\t\t\tthis.searchResults = 1;\n",
       "\t\t\tnSearchResults++;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tthis.searchResults += this.children[i].search();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\treturn this.searchResults;\n",
       "\t}\n",
       "\t\n",
       "\tthis.searchResultChildren = function()\n",
       "\t{\n",
       "\t\tif ( this.isSearchResult )\n",
       "\t\t{\n",
       "\t\t\treturn this.searchResults - 1;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn this.searchResults;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setDepth = function(depth, depthCollapsed)\n",
       "\t{\n",
       "\t\tthis.depth = depth;\n",
       "\t\tthis.depthCollapsed = depthCollapsed;\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tthis.children.length == 1 &&\n",
       "//\t\t\tthis.magnitude > 0 &&\n",
       "\t\t\tthis.children[0].magnitude == this.magnitude &&\n",
       "\t\t\t( head.children.length > 1 || this.children[0].children.length )\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tthis.collapse = true;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.collapse = false;\n",
       "\t\t\tdepthCollapsed++;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tthis.children[i].setDepth(depth + 1, depthCollapsed);\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setHighlightStyle = function()\n",
       "\t{\n",
       "\t\tcontext.lineWidth = highlightLineWidth;\n",
       "\t\t\n",
       "\t\tif ( this.hasChildren() || this != focusNode || this != highlightedNode )\n",
       "\t\t{\n",
       "\t\t\tcontext.strokeStyle = 'black';\n",
       "\t\t\tcontext.fillStyle = \"rgba(255, 255, 255, .3)\";\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tcontext.strokeStyle = 'rgb(90,90,90)';\n",
       "\t\t\tcontext.fillStyle = \"rgba(155, 155, 155, .3)\";\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setLabelWidth = function(node)\n",
       "\t{\n",
       "\t\tif ( ! shorten || this.radial )\n",
       "\t\t{\n",
       "\t\t\treturn; // don't need to set width\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( node.hide )\n",
       "\t\t{\n",
       "\t\t\talert('wtf');\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar angle = (this.angleStart.end + this.angleEnd.end) / 2;\n",
       "\t\tvar a; // angle difference\n",
       "\t\t\n",
       "\t\tif ( node == selectedNode )\n",
       "\t\t{\n",
       "\t\t\ta = Math.abs(angle - node.angleOther);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\ta = Math.abs(angle - (node.angleStart.end + node.angleEnd.end) / 2);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( a == 0 )\n",
       "\t\t{\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( a > Math.PI )\n",
       "\t\t{\n",
       "\t\t\ta = 2 * Math.PI - a;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( node.radial || node == selectedNode )\n",
       "\t\t{\n",
       "\t\t\tvar nodeLabelRadius;\n",
       "\t\t\t\n",
       "\t\t\tif ( node == selectedNode )\n",
       "\t\t\t{\n",
       "\t\t\t\t// radial 'other' label\n",
       "\t\t\t\t\n",
       "\t\t\t\tnodeLabelRadius = (node.children[0].radiusInner.end + 1) / 2;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tnodeLabelRadius = (node.radiusInner.end + 1) / 2;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( a < Math.PI / 2 )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar r = this.labelRadius.end * gRadius + .5 * fontSize\n",
       "\t\t\t\tvar hypotenuse = r / Math.cos(a);\n",
       "\t\t\t\tvar opposite = r * Math.tan(a);\n",
       "\t\t\t\tvar fontRadius = .8 * fontSize;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tnodeLabelRadius * gRadius < hypotenuse &&\n",
       "\t\t\t\t\tthis.labelWidth.end / 2 + fontRadius > opposite\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.labelWidth.end = 2 * (opposite - fontRadius);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse if\n",
       "\t\t(\n",
       "\t\t\tthis.labelRadius.end == node.labelRadius.end &&\n",
       "\t\t\ta < Math.PI / 4\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\t// same radius with small angle; use circumferential approximation\n",
       "\t\t\t\n",
       "\t\t\tvar dist = a * this.labelRadius.end * gRadius - fontSize * (1 - a * 4 / Math.PI) * 1.3;\n",
       "\t\t\t\n",
       "\t\t\tif ( this.labelWidth.end < dist )\n",
       "\t\t\t{\n",
       "\t\t\t\tnode.restrictLabelWidth((dist - this.labelWidth.end / 2) * 2);\n",
       "\t\t\t}\n",
       "\t\t\telse if ( node.labelWidth.end < dist )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.restrictLabelWidth((dist - node.labelWidth.end / 2) * 2);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\t// both labels reach halfway point; restrict both\n",
       "\t\t\t\t\n",
       "\t\t\t\tthis.labelWidth.end = dist;\n",
       "\t\t\t\tnode.labelWidth.end = dist\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tvar r1 = this.labelRadius.end * gRadius;\n",
       "\t\t\tvar r2 = node.labelRadius.end * gRadius;\n",
       "\t\t\t\n",
       "\t\t\t// first adjust the radii to account for the height of the font by shifting them\n",
       "\t\t\t// toward each other\n",
       "\t\t\t//\n",
       "\t\t\tvar fontFudge = .35 * fontSize;\n",
       "\t\t\t//\n",
       "\t\t\tif ( this.labelRadius.end < node.labelRadius.end )\n",
       "\t\t\t{\n",
       "\t\t\t\tr1 += fontFudge;\n",
       "\t\t\t\tr2 -= fontFudge;\n",
       "\t\t\t}\n",
       "\t\t\telse if ( this.labelRadius.end > node.labelRadius.end )\n",
       "\t\t\t{\n",
       "\t\t\t\tr1 -= fontFudge;\n",
       "\t\t\t\tr2 += fontFudge;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tr1 -= fontFudge;\n",
       "\t\t\t\tr2 -= fontFudge;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tvar r1s = r1 * r1;\n",
       "\t\t\tvar r2s = r2 * r2;\n",
       "\t\t\t\n",
       "\t\t\t// distance between the centers of the two labels\n",
       "\t\t\t//\n",
       "\t\t\tvar dist = Math.sqrt(r1s + r2s - 2 * r1 * r2 * Math.cos(a));\n",
       "\t\t\t\n",
       "\t\t\t// angle at our label center between our radius and the line to the other label center\n",
       "\t\t\t//\n",
       "\t\t\tvar b = Math.acos((r1s + dist * dist - r2s) / (2 * r1 * dist));\n",
       "\t\t\t\n",
       "\t\t\t// distance from our label center to the intersection of the two tangents\n",
       "\t\t\t//\n",
       "\t\t\tvar l1 = Math.sin(a + b - Math.PI / 2) * dist / Math.sin(Math.PI - a);\n",
       "\t\t\t\n",
       "\t\t\t// distance from other label center the the intersection of the two tangents\n",
       "\t\t\t//\n",
       "\t\t\tvar l2 = Math.sin(Math.PI / 2 - b) * dist / Math.sin(Math.PI - a);\n",
       "\t\t\t\n",
       "\t\t\tl1 = Math.abs(l1) - .4 * fontSize;\n",
       "\t\t\tl2 = Math.abs(l2) - .4 * fontSize;\n",
       "/*\t\t\t\n",
       "\t\t\t// amount to shorten the distances because of the height of the font\n",
       "\t\t\t//\n",
       "\t\t\tvar l3 = 0;\n",
       "\t\t\tvar fontRadius = fontSize * .55;\n",
       "\t\t\t//\n",
       "\t\t\tif ( l1 < 0 || l2 < 0 )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar l4 = fontRadius / Math.tan(a);\n",
       "\t\t\tl1 = Math.abs(l1);\n",
       "\t\t\tl2 = Math.abs(l2);\n",
       "\t\t\t\n",
       "\t\t\t\tl1 -= l4;\n",
       "\t\t\t\tl2 -= l4;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tvar c = Math.PI - a;\n",
       "\t\t\t\t\n",
       "\t\t\t\tl3 = fontRadius * Math.tan(c / 2);\n",
       "\t\t\t}\n",
       "*/\t\t\t\n",
       "\t\t\tif ( this.labelWidth.end / 2 > l1 && node.labelWidth.end / 2 > l2 )\n",
       "\t\t\t{\n",
       "\t\t\t\t// shorten the farthest one from the intersection\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( l1 > l2 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.restrictLabelWidth(2 * (l1));// - l3 - fontRadius));\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tnode.restrictLabelWidth(2 * (l2));// - l3 - fontRadius));\n",
       "\t\t\t\t}\n",
       "\t\t\t}/*\n",
       "\t\t\telse if ( this.labelWidth.end / 2 > l1 + l3 && node.labelWidth.end / 2 > l2 - l3 )\n",
       "\t\t\t{\n",
       "\t\t\t\tnode.restrictLabelWidth(2 * (l2 - l3));\n",
       "\t\t\t}\n",
       "\t\t\telse if ( this.labelWidth.end / 2 > l1 - l3 && node.labelWidth.end / 2 > l2 + l3 )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.restrictLabelWidth(2 * (l1 - l3));\n",
       "\t\t\t}*/\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setMagnitudes = function(baseMagnitude)\n",
       "\t{\n",
       "\t\tthis.magnitude = this.getMagnitude();\n",
       "\t\tthis.baseMagnitude = baseMagnitude;\n",
       "\t\t\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tthis.children[i].setMagnitudes(baseMagnitude);\n",
       "\t\t\tbaseMagnitude += this.children[i].magnitude;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tthis.maxChildMagnitude = baseMagnitude;\n",
       "\t}\n",
       "\t\n",
       "\tthis.setMaxDepths = function()\n",
       "\t{\n",
       "\t\tthis.maxDepth = this.depth;\n",
       "\t\tthis.maxDepthCollapsed = this.depthCollapsed;\n",
       "\t\t\n",
       "\t\tfor ( i in this.children )\n",
       "\t\t{\n",
       "\t\t\tvar child = this.children[i];\n",
       "\t\t\t\n",
       "\t\t\tchild.setMaxDepths();\n",
       "\t\t\t\n",
       "\t\t\tif ( child.maxDepth > this.maxDepth )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.maxDepth = child.maxDepth;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\tchild.maxDepthCollapsed > this.maxDepthCollapsed &&\n",
       "\t\t\t\t(child.depth <= maxAbsoluteDepth || maxAbsoluteDepth == 0)\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.maxDepthCollapsed = child.maxDepthCollapsed;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setTargetLabelRadius = function()\n",
       "\t{\n",
       "\t\tvar depth = this.getDepth() - selectedNode.getDepth() + 1;\n",
       "\t\tvar index = depth - 2;\n",
       "\t\tvar labelOffset = labelOffsets[index];\n",
       "\t\t\n",
       "\t\tif ( this.radial )\n",
       "\t\t{\n",
       "\t\t\t//this.labelRadius.setTarget((this.radiusInner.end + 1) / 2);\n",
       "\t\t\tvar max =\n",
       "\t\t\t\tdepth == maxDisplayDepth ?\n",
       "\t\t\t\t1 :\n",
       "\t\t\t\tcompressedRadii[index + 1];\n",
       "\t\t\t\n",
       "\t\t\tthis.labelRadius.setTarget((compressedRadii[index] + max) / 2);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tvar radiusCenter;\n",
       "\t\t\tvar width;\n",
       "\t\t\t\n",
       "\t\t\tif ( compress )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( nLabelOffsets[index] > 1 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.labelRadius.setTarget\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tlerp\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\tlabelOffset + .75,\n",
       "\t\t\t\t\t\t\t0,\n",
       "\t\t\t\t\t\t\tnLabelOffsets[index] + .5,\n",
       "\t\t\t\t\t\t\tcompressedRadii[index],\n",
       "\t\t\t\t\t\t\tcompressedRadii[index + 1]\n",
       "\t\t\t\t\t\t)\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.labelRadius.setTarget((compressedRadii[index] + compressedRadii[index + 1]) / 2);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tradiusCenter =\n",
       "\t\t\t\t\tnodeRadius * (depth - 1) +\n",
       "\t\t\t\t\tnodeRadius / 2;\n",
       "\t\t\t\twidth = nodeRadius;\n",
       "\t\t\t\t\n",
       "\t\t\t\tthis.labelRadius.setTarget\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tradiusCenter + width * ((labelOffset + 1) / (nLabelOffsets[index] + 1) - .5)\n",
       "\t\t\t\t);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( ! this.hide && ! this.keyed && nLabelOffsets[index] )\n",
       "\t\t{\n",
       "\t\t\t// check last and first labels in each track for overlap\n",
       "\t\t\t\n",
       "\t\t\tfor ( var i = 0; i < maxDisplayDepth - 1; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tfor ( var j = 0; j <= nLabelOffsets[i]; j++ )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar last = labelLastNodes[i][j];\n",
       "\t\t\t\t\tvar first = labelFirstNodes[i][j];\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( last )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tif ( j == nLabelOffsets[i] )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\t// last is radial\n",
       "\t\t\t\t\t\t\tthis.setLabelWidth(last);\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\telse\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tlast.setLabelWidth(this);\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( first )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tif ( j == nLabelOffsets[i] )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tthis.setLabelWidth(first);\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\telse\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tfirst.setLabelWidth(this);\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( selectedNode.canDisplayLabelOther )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.setLabelWidth(selectedNode); // in case there is an 'other' label\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( this.radial )\n",
       "\t\t\t{\n",
       "\t\t\t\t// use the last 'track' of this depth for radial\n",
       "\t\t\t\t\n",
       "\t\t\t\tlabelLastNodes[index][nLabelOffsets[index]] = this;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( labelFirstNodes[index][nLabelOffsets[index]] == 0 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlabelFirstNodes[index][nLabelOffsets[index]] = this;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tlabelLastNodes[index][labelOffset] = this;\n",
       "\t\t\t\t\n",
       "\t\t\t\t// update offset\n",
       "\t\t\t\t\n",
       "\t\t\t\tlabelOffsets[index] += 1;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( labelOffsets[index] > nLabelOffsets[index] )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlabelOffsets[index] -= nLabelOffsets[index];\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( !(nLabelOffsets[index] & 1) )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tlabelOffsets[index]--;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse if ( labelOffsets[index] == nLabelOffsets[index] )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlabelOffsets[index] -= nLabelOffsets[index];\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( false && !(nLabelOffsets[index] & 1) )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tlabelOffsets[index]++;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( labelFirstNodes[index][labelOffset] == 0 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlabelFirstNodes[index][labelOffset] = this;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse if ( this.hide )\n",
       "\t\t{\n",
       "\t\t\tthis.labelWidth.end = 0;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setTargets = function()\n",
       "\t{\n",
       "\t\tif ( this == selectedNode )\n",
       "\t\t{\n",
       "\t\t\tthis.setTargetsSelected\n",
       "\t\t\t(\n",
       "\t\t\t\t0,\n",
       "\t\t\t\t1,\n",
       "\t\t\t\tlightnessBase,\n",
       "\t\t\t\tfalse,\n",
       "\t\t\t\tfalse\n",
       "\t\t\t);\n",
       "\t\t\treturn;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar depthRelative = this.getDepth() - selectedNode.getDepth();\n",
       "\t\t\n",
       "\t\tvar parentOfSelected = selectedNode.hasParent(this);\n",
       "/*\t\t(\n",
       "//\t\t\t! this.getCollapse() &&\n",
       "\t\t\tthis.baseMagnitude <= selectedNode.baseMagnitude &&\n",
       "\t\t\tthis.baseMagnitude + this.magnitude >=\n",
       "\t\t\tselectedNode.baseMagnitude + selectedNode.magnitude\n",
       "\t\t);\n",
       "*/\t\t\n",
       "\t\tif ( parentOfSelected )\n",
       "\t\t{\n",
       "\t\t\tthis.resetLabelWidth();\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\t//context.font = fontNormal;\n",
       "\t\t\tvar dim = context.measureText(this.name);\n",
       "\t\t\tthis.nameWidth = dim.width;\n",
       "\t\t\t//this.labelWidth.setTarget(this.labelWidth.end);\n",
       "\t\t\tthis.labelWidth.setTarget(0);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t// set angles\n",
       "\t\t//\n",
       "\t\tif ( this.baseMagnitude <= selectedNode.baseMagnitude )\n",
       "\t\t{\n",
       "\t\t\tthis.angleStart.setTarget(0);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.angleStart.setTarget(Math.PI * 2);\n",
       "\t\t}\n",
       "\t\t//\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tparentOfSelected ||\n",
       "\t\t\tthis.baseMagnitude + this.magnitude >=\n",
       "\t\t\tselectedNode.baseMagnitude + selectedNode.magnitude\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tthis.angleEnd.setTarget(Math.PI * 2);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.angleEnd.setTarget(0);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t// children\n",
       "\t\t//\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tthis.children[i].setTargets();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.getDepth() <= selectedNode.getDepth() )\n",
       "\t\t{\n",
       "\t\t\t// collapse in\n",
       "\t\t\t\n",
       "\t\t\tthis.radiusInner.setTarget(0);\n",
       "\t\t\t\n",
       "\t\t\tif ( parentOfSelected )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.labelRadius.setTarget\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\t(depthRelative) *\n",
       "\t\t\t\t\thistorySpacingFactor * fontSize / gRadius\n",
       "\t\t\t\t);\n",
       "\t\t\t\t//this.scale.setTarget(1 - (selectedNode.getDepth() - this.getDepth()) / 18); // TEMP\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.labelRadius.setTarget(0);\n",
       "\t\t\t\t//this.scale.setTarget(1); // TEMP\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse if ( depthRelative + 1 > maxDisplayDepth )\n",
       "\t\t{\n",
       "\t\t\t// collapse out\n",
       "\t\t\t\n",
       "\t\t\tthis.radiusInner.setTarget(1);\n",
       "\t\t\tthis.labelRadius.setTarget(1);\n",
       "\t\t\t//this.scale.setTarget(1); // TEMP\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\t// don't collapse\n",
       "\t\t\t\n",
       "\t\t\tif ( compress )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.radiusInner.setTarget(compressedRadii[depthRelative - 1]);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.radiusInner.setTarget(nodeRadius * (depthRelative));\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t//this.scale.setTarget(1); // TEMP\n",
       "\t\t\t\n",
       "\t\t\tif ( this == selectedNode )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.labelRadius.setTarget(0);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( compress )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.labelRadius.setTarget\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\t(compressedRadii[depthRelative - 1] + compressedRadii[depthRelative]) / 2\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.labelRadius.setTarget(nodeRadius * (depthRelative) + nodeRadius / 2);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "//\t\tthis.r.start = this.r.end;\n",
       "//\t\tthis.g.start = this.g.end;\n",
       "//\t\tthis.b.start = this.b.end;\n",
       "\t\t\n",
       "\t\tthis.r.setTarget(255);\n",
       "\t\tthis.g.setTarget(255);\n",
       "\t\tthis.b.setTarget(255);\n",
       "\n",
       "\t\tthis.alphaLine.setTarget(0);\n",
       "\t\tthis.alphaArc.setTarget(0);\n",
       "\t\tthis.alphaWedge.setTarget(0);\n",
       "\t\tthis.alphaPattern.setTarget(0);\n",
       "\t\tthis.alphaOther.setTarget(0);\n",
       "\t\t\n",
       "\t\tif ( parentOfSelected && ! this.getCollapse() )\n",
       "\t\t{\n",
       "\t\t\tvar alpha =\n",
       "\t\t\t(\n",
       "\t\t\t\t1 -\n",
       "\t\t\t\t(selectedNode.getDepth() - this.getDepth()) /\n",
       "\t\t\t\t(Math.floor((compress ? compressedRadii[0] : nodeRadius) * gRadius / (historySpacingFactor * fontSize) - .5) + 1)\n",
       "\t\t\t);\n",
       "\t\t\t\n",
       "\t\t\tif ( alpha < 0 )\n",
       "\t\t\t{\n",
       "\t\t\t\talpha = 0;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tthis.alphaLabel.setTarget(alpha);\n",
       "\t\t\tthis.radial = false;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.alphaLabel.setTarget(0);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tthis.hideAlonePrev = this.hideAlone;\n",
       "\t\tthis.hidePrev = this.hide;\n",
       "\t\t\n",
       "\t\tif ( parentOfSelected )\n",
       "\t\t{\n",
       "\t\t\tthis.hideAlone = false;\n",
       "\t\t\tthis.hide = false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.getParent() == selectedNode.getParent() )\n",
       "\t\t{\n",
       "\t\t\tthis.hiddenEnd = null;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tthis.radialPrev = this.radial;\n",
       "\t}\n",
       "\t\n",
       "\tthis.setTargetsSelected = function(hueMin, hueMax, lightness, hide, nextSiblingHidden)\n",
       "\t{\n",
       "\t\tvar collapse = this.getCollapse();\n",
       "\t\tvar depth = this.getDepth() - selectedNode.getDepth() + 1;\n",
       "\t\tvar canDisplayChildLabels = false;\n",
       "\t\tvar lastChild;\n",
       "\t\t\n",
       "\t\tif ( this.hasChildren() )//&& ! hide )\n",
       "\t\t{\n",
       "\t\t\tlastChild = this.children[this.children.length - 1];\n",
       "\t\t\tthis.hideAlone = true;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.hideAlone = false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t// set child wedges\n",
       "\t\t//\n",
       "\t\tfor ( var i = 0; i < this.children.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tthis.children[i].setTargetWedge();\n",
       "\t\t\t\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\t! this.children[i].hide &&\n",
       "\t\t\t\t( collapse || depth < maxDisplayDepth ) &&\n",
       "\t\t\t\tthis.depth < maxAbsoluteDepth\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tcanDisplayChildLabels = true;\n",
       "\t\t\t\tthis.hideAlone = false;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this == selectedNode || lastChild && lastChild.angleEnd.end < this.angleEnd.end - .01)\n",
       "\t\t{\n",
       "\t\t\tthis.hideAlone = false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.hideAlonePrev == undefined )\n",
       "\t\t{\n",
       "\t\t\tthis.hideAlonePrev = this.hideAlone;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this == selectedNode )\n",
       "\t\t{\n",
       "\t\t\tvar otherArc = \n",
       "\t\t\t\tthis.children.length ?\n",
       "\t\t\t\t\tangleFactor *\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tthis.baseMagnitude + this.magnitude -\n",
       "\t\t\t\t\t\tlastChild.baseMagnitude - lastChild.magnitude\n",
       "\t\t\t\t\t)\n",
       "\t\t\t\t: this.baseMagnitude + this.magnitude;\n",
       "\t\t\tthis.canDisplayLabelOther =\n",
       "\t\t\t\tthis.children.length ?\n",
       "\t\t\t\t\totherArc *\n",
       "\t\t\t\t\t(this.children[0].radiusInner.end + 1) * gRadius >=\n",
       "\t\t\t\t\tminWidth()\n",
       "\t\t\t\t: true;\n",
       "\t\t\t\n",
       "\t\t\tthis.keyUnclassified = false;\n",
       "\t\t\t\n",
       "\t\t\tif ( this.canDisplayLabelOther )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.angleOther = Math.PI * 2 - otherArc / 2;\n",
       "\t\t\t}\n",
       "\t\t\telse if ( otherArc > 0.0000000001 )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.keyUnclassified = true;\n",
       "\t\t\t\tkeys++;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tthis.angleStart.setTarget(0);\n",
       "\t\t\tthis.angleEnd.setTarget(Math.PI * 2);\n",
       "\t\t\t\n",
       "\t\t\tif ( this.children.length )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.radiusInner.setTarget(0);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.radiusInner.setTarget(compressedRadii[0]);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tthis.hidePrev = this.hide;\n",
       "\t\t\tthis.hide = false;\n",
       "\t\t\tthis.hideAlonePrev = this.hideAlone;\n",
       "\t\t\tthis.hideAlone = false;\n",
       "\t\t\tthis.keyed = false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( hueMax - hueMin > 1 / 12 )\n",
       "\t\t{\n",
       "\t\t\thueMax = hueMin + 1 / 12;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t// set lightness\n",
       "\t\t//\n",
       "\t\tif ( ! ( hide || this.hideAlone ) )\n",
       "\t\t{\n",
       "\t\t\tif ( useHue() )\n",
       "\t\t\t{\n",
       "\t\t\t\tlightness = (lightnessBase + lightnessMax) / 2;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tlightness = lightnessBase + (depth - 1) * lightnessFactor;\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( lightness > lightnessMax )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tlightness = lightnessMax;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( hide )\n",
       "\t\t{\n",
       "\t\t\tthis.hide = true;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.hidePrev == undefined )\n",
       "\t\t{\n",
       "\t\t\tthis.hidePrev = this.hide;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar hiddenStart = -1;\n",
       "\t\tvar hiddenHueNumer = 0;\n",
       "\t\tvar hiddenHueDenom = 0;\n",
       "\t\tvar i = 0;\n",
       "\t\t\n",
       "\t\tif ( ! this.hide )\n",
       "\t\t{\n",
       "\t\t\tthis.hiddenEnd = null;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\twhile ( true )\n",
       "\t\t{\n",
       "\t\t\tif ( ! this.hideAlone && ! hide && ( i == this.children.length || ! this.children[i].hide ) )\n",
       "\t\t\t{\n",
       "\t\t\t\t// reached a non-hidden child or the end; set targets for\n",
       "\t\t\t\t// previous group of hidden children (if any) using their\n",
       "\t\t\t\t// average hue\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( hiddenStart != -1 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar hiddenHue = hiddenHueDenom ? hiddenHueNumer / hiddenHueDenom : hueMin;\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tfor ( var j = hiddenStart; j < i; j++ )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tthis.children[j].setTargetsSelected\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\thiddenHue,\n",
       "\t\t\t\t\t\t\tnull,\n",
       "\t\t\t\t\t\t\tlightness,\n",
       "\t\t\t\t\t\t\tfalse,\n",
       "\t\t\t\t\t\t\tj < i - 1\n",
       "\t\t\t\t\t\t);\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tthis.children[j].hiddenEnd = null;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tthis.children[hiddenStart].hiddenEnd = i - 1;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( i == this.children.length )\n",
       "\t\t\t{\n",
       "\t\t\t\tbreak;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tvar child = this.children[i];\n",
       "\t\t\tvar childHueMin;\n",
       "\t\t\tvar childHueMax;\n",
       "\t\t\t\n",
       "\t\t\tif ( this.magnitude > 0 && ! this.hide && ! this.hideAlone )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( useHue() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tchildHueMin = child.hues[currentDataset];\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse if ( this == selectedNode )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar min = 0.0;\n",
       "\t\t\t\t\tvar max = 1.0;\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( this.children.length > 6 )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tchildHueMin = lerp((1 - Math.pow(1 - i / this.children.length, 1.4)) * .95, 0, 1, min, max);\n",
       "\t\t\t\t\t\tchildHueMax = lerp((1 - Math.pow(1 - (i + .55) / this.children.length, 1.4)) * .95, 0, 1, min, max);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\telse\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tchildHueMin = lerp(i / this.children.length, 0, 1, min, max);\n",
       "\t\t\t\t\t\tchildHueMax = lerp((i + .55) / this.children.length, 0, 1, min, max);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tchildHueMin = lerp\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tchild.baseMagnitude,\n",
       "\t\t\t\t\t\tthis.baseMagnitude, \n",
       "\t\t\t\t\t\tthis.baseMagnitude + this.magnitude,\n",
       "\t\t\t\t\t\thueMin,\n",
       "\t\t\t\t\t\thueMax\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t\tchildHueMax = lerp\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tchild.baseMagnitude + child.magnitude * .99,\n",
       "\t\t\t\t\t\tthis.baseMagnitude,\n",
       "\t\t\t\t\t\tthis.baseMagnitude + this.magnitude,\n",
       "\t\t\t\t\t\thueMin,\n",
       "\t\t\t\t\t\thueMax\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tchildHueMin = hueMin;\n",
       "\t\t\t\tchildHueMax = hueMax;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tif ( ! this.hideAlone && ! hide && ! this.hide && child.hide )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( hiddenStart == -1 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thiddenStart = i;\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( useHue() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thiddenHueNumer += childHueMin * child.magnitude;\n",
       "\t\t\t\t\thiddenHueDenom += child.magnitude;\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thiddenHueNumer += childHueMin;\n",
       "\t\t\t\t\thiddenHueDenom++;\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\thiddenStart = -1;\n",
       "\t\t\t\t\n",
       "\t\t\t\tthis.children[i].setTargetsSelected\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tchildHueMin,\n",
       "\t\t\t\t\tchildHueMax,\n",
       "\t\t\t\t\tlightness,\n",
       "\t\t\t\t\thide || this.keyed || this.hideAlone || this.hide && ! collapse,\n",
       "\t\t\t\t\tfalse\n",
       "\t\t\t\t);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\ti++;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t \tif ( this.hue && this.magnitude )\n",
       "\t \t{\n",
       "\t\t \tthis.hue.setTarget(this.hues[currentDataset]);\n",
       "\t\t\t\n",
       "\t\t\tif ( this.attributes[magnitudeIndex][lastDataset] == 0 )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.hue.start = this.hue.end;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t \t\n",
       "\t\tthis.radialPrev = this.radial;\n",
       "\t\t\n",
       "\t\tif ( this == selectedNode )\n",
       "\t\t{\n",
       "\t\t\tthis.resetLabelWidth();\n",
       "\t\t\tthis.labelWidth.setTarget(this.nameWidth * labelWidthFudge);\n",
       "\t\t\tthis.alphaWedge.setTarget(0);\n",
       "\t\t\tthis.alphaLabel.setTarget(1);\n",
       "\t\t\tthis.alphaOther.setTarget(1);\n",
       "\t\t\tthis.alphaArc.setTarget(0);\n",
       "\t\t\tthis.alphaLine.setTarget(0);\n",
       "\t\t\tthis.alphaPattern.setTarget(0);\n",
       "\t\t\tthis.r.setTarget(255);\n",
       "\t\t\tthis.g.setTarget(255);\n",
       "\t\t\tthis.b.setTarget(255);\n",
       "\t\t\tthis.radial = false;\n",
       "\t\t\tthis.labelRadius.setTarget(0);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tvar rgb = hslToRgb\n",
       "\t\t\t(\n",
       "\t\t\t\thueMin,\n",
       "\t\t\t\tsaturation,\n",
       "\t\t\t\tlightness\n",
       "\t\t\t);\n",
       "\t\t\t\n",
       "\t\t\tthis.r.setTarget(rgb.r);\n",
       "\t\t\tthis.g.setTarget(rgb.g);\n",
       "\t\t\tthis.b.setTarget(rgb.b);\n",
       "\t\t\tthis.alphaOther.setTarget(0);\n",
       "\t\t\t\n",
       "\t\t\tthis.alphaWedge.setTarget(1);\n",
       "\t\t\t\n",
       "\t\t\tif ( this.hide || this.hideAlone )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaPattern.setTarget(1);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaPattern.setTarget(0);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t// set radial\n",
       "\t\t\t//\n",
       "\t\t\tif ( ! ( hide || this.hide ) )//&& ! this.keyed )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( this.hideAlone )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.radial = true;\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse if ( false && canDisplayChildLabels )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.radial = false;\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.radial = true;\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( this.hasChildren() && depth < maxDisplayDepth )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar lastChild = this.children[this.children.length - 1];\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\tlastChild.angleEnd.end == this.angleEnd.end ||\n",
       "\t\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\t\t(this.angleStart.end + this.angleEnd.end) / 2 -\n",
       "\t\t\t\t\t\t\t\tlastChild.angleEnd.end\n",
       "\t\t\t\t\t\t\t) * (this.radiusInner.end + 1) * gRadius * 2 <\n",
       "\t\t\t\t\t\t\tminWidth()\n",
       "\t\t\t\t\t\t)\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tthis.radial = false;\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t// set alphaLabel\n",
       "\t\t\t//\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\tcollapse ||\n",
       "\t\t\t\thide ||\n",
       "\t\t\t\tthis.hide ||\n",
       "\t\t\t\tthis.keyed ||\n",
       "\t\t\t\tdepth > maxDisplayDepth ||\n",
       "\t\t\t\t! this.canDisplayDepth()\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaLabel.setTarget(0);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tif\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\t(this.radial || nLabelOffsets[depth - 2])\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.alphaLabel.setTarget(1);\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.alphaLabel.setTarget(0);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( this.radialPrev )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tthis.alphaLabel.start = 0;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t// set alphaArc\n",
       "\t\t\t//\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\tcollapse ||\n",
       "\t\t\t\thide ||\n",
       "\t\t\t\tdepth > maxDisplayDepth ||\n",
       "\t\t\t\t! this.canDisplayDepth()\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaArc.setTarget(0);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaArc.setTarget(1);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t// set alphaLine\n",
       "\t\t\t//\n",
       "\t\t\tif\n",
       "\t\t\t(\n",
       "\t\t\t\thide ||\n",
       "\t\t\t\tthis.hide && nextSiblingHidden ||\n",
       "\t\t\t\tdepth > maxDisplayDepth ||\n",
       "\t\t\t\t! this.canDisplayDepth()\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaLine.setTarget(0);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.alphaLine.setTarget(1);\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t//if (  ! this.radial )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.resetLabelWidth();\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t// set labelRadius target\n",
       "\t\t\t//\n",
       "\t\t\tif ( collapse )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.labelRadius.setTarget(this.radiusInner.end);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( depth > maxDisplayDepth || ! this.canDisplayDepth() )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.labelRadius.setTarget(1);\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tthis.setTargetLabelRadius();\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.setTargetWedge = function()\n",
       "\t{\n",
       "\t\tvar depth = this.getDepth() - selectedNode.getDepth() + 1;\n",
       "\t\t\n",
       "\t\t// set angles\n",
       "\t\t//\n",
       "\t\tvar baseMagnitudeRelative = this.baseMagnitude - selectedNode.baseMagnitude;\n",
       "\t\t//\n",
       "\t\tthis.angleStart.setTarget(baseMagnitudeRelative * angleFactor);\n",
       "\t\tthis.angleEnd.setTarget((baseMagnitudeRelative + this.magnitude) * angleFactor);\n",
       "\t\t\n",
       "\t\t// set radiusInner\n",
       "\t\t//\n",
       "\t\tif ( depth > maxDisplayDepth || ! this.canDisplayDepth() )\n",
       "\t\t{\n",
       "\t\t\tthis.radiusInner.setTarget(1);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tif ( compress )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.radiusInner.setTarget(compressedRadii[depth - 2]);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.radiusInner.setTarget(nodeRadius * (depth - 1));\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.hide != undefined )\n",
       "\t\t{\n",
       "\t\t\tthis.hidePrev = this.hide;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( this.hideAlone != undefined )\n",
       "\t\t{\n",
       "\t\t\tthis.hideAlonePrev = this.hideAlone;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t// set hide\n",
       "\t\t//\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\t(this.angleEnd.end - this.angleStart.end) *\n",
       "\t\t\t(this.radiusInner.end * gRadius + gRadius) <\n",
       "\t\t\tminWidth()\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tif ( depth == 2 && ! this.getCollapse() && this.depth <= maxAbsoluteDepth )\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.keyed = true;\n",
       "\t\t\t\tkeys++;\n",
       "\t\t\t\tthis.hide = false;\n",
       "\t\t\t\t\n",
       "\t\t\t\tvar percentage = this.getPercentage();\n",
       "\t\t\t\tthis.keyLabel = this.name + '   ' + percentage + '%';\n",
       "\t\t\t\tvar dim = context.measureText(this.keyLabel);\n",
       "\t\t\t\tthis.keyNameWidth = dim.width;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tthis.keyed = false;\n",
       "\t\t\t\tthis.hide = depth > 2;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tthis.keyed = false;\n",
       "\t\t\tthis.hide = false;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tthis.shortenLabel = function()\n",
       "\t{\n",
       "\t\tvar label = this.name;\n",
       "\t\t\n",
       "\t\tvar labelWidth = this.nameWidth;\n",
       "\t\tvar maxWidth = this.labelWidth.current();\n",
       "\t\tvar minEndLength = 0;\n",
       "\t\t\n",
       "\t\tif ( labelWidth > maxWidth && label.length > minEndLength * 2 )\n",
       "\t\t{\n",
       "\t\t\tvar endLength =\n",
       "\t\t\t\tMath.floor((label.length - 1) * maxWidth / labelWidth / 2);\n",
       "\t\t\t\n",
       "\t\t\tif ( endLength < minEndLength )\n",
       "\t\t\t{\n",
       "\t\t\t\tendLength = minEndLength;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\treturn (\n",
       "\t\t\t\tlabel.substring(0, endLength) +\n",
       "\t\t\t\t'...' +\n",
       "\t\t\t\tlabel.substring(label.length - endLength));\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn label;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "/*\tthis.shouldAddSearchResultsString = function()\n",
       "\t{\n",
       "\t\tif ( this.isSearchResult )\n",
       "\t\t{\n",
       "\t\t\treturn this.searchResults > 1;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn this.searchResults > 0;\n",
       "\t\t}\n",
       "\t}\n",
       "*/\t\n",
       "\tthis.sort = function()\n",
       "\t{\n",
       "\t\tthis.children.sort(function(a, b){return b.getMagnitude() - a.getMagnitude()});\n",
       "\t\t\n",
       "\t\tfor (var i = 0; i < this.children.length; i++)\n",
       "\t\t{\n",
       "\t\t\tthis.children[i].sort();\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "var options;\n",
       "\n",
       "function addOptionElement(position, innerHTML, title)\n",
       "{\n",
       "\tvar div = document.createElement(\"div\");\n",
       "//\tdiv.style.position = 'absolute';\n",
       "//\tdiv.style.top = position + 'px';\n",
       "\tdiv.innerHTML = innerHTML;\n",
       "//\tdiv.style.display = 'block';\n",
       "\tdiv.style.padding = '2px';\n",
       "\t\n",
       "\tif ( title )\n",
       "\t{\n",
       "\t\tdiv.title = title;\n",
       "\t}\n",
       "\t\n",
       "\toptions.appendChild(div);\n",
       "\tvar height = 0;//div.clientHeight;\n",
       "\treturn position + height;\n",
       "}\n",
       "\n",
       "function addOptionElements(hueName, hueDefault)\n",
       "{\n",
       "\toptions = document.createElement('div');\n",
       "\toptions.style.position = 'absolute';\n",
       "\toptions.style.top = '0px';\n",
       "\toptions.addEventListener('mousedown', function(e) {mouseClick(e)}, false);\n",
       "//\toptions.onmouseup = function(e) {mouseUp(e)}\n",
       "\tdocument.body.appendChild(options);\n",
       "\t\n",
       "\tdocument.body.style.font = '11px sans-serif';\n",
       "\tvar position = 5;\n",
       "\t\n",
       "\tdetails = document.createElement('div');\n",
       "\tdetails.style.position = 'absolute';\n",
       "\tdetails.style.top = '1%';\n",
       "\tdetails.style.right = '2%';\n",
       "\tdetails.style.textAlign = 'right';\n",
       "\tdocument.body.insertBefore(details, canvas);\n",
       "//\t\t<div id=\"details\" style=\"position:absolute;top:1%;right:2%;text-align:right;\">\n",
       "\n",
       "\tdetails.innerHTML = '\\\n",
       "<span id=\"detailsName\" style=\"font-weight:bold\"></span>&nbsp;\\\n",
       "<input type=\"button\" id=\"detailsExpand\" onclick=\"expand(focusNode);\"\\\n",
       "value=\"&harr;\" title=\"Expand this wedge to become the new focus of the chart\"/><br/>\\\n",
       "<div id=\"detailsInfo\" style=\"float:right\"></div>';\n",
       "\n",
       "\tkeyControl = document.createElement('input');\n",
       "\tkeyControl.type = 'button';\n",
       "\tkeyControl.value = showKeys ? 'x' : '…';\n",
       "\tkeyControl.style.position = '';\n",
       "\tkeyControl.style.position = 'fixed';\n",
       "\tkeyControl.style.visibility = 'hidden';\n",
       "\t\n",
       "\tdocument.body.insertBefore(keyControl, canvas);\n",
       "\t\n",
       "\tvar logoElement = document.getElementById('logo');\n",
       "\t\n",
       "\tif ( logoElement )\n",
       "\t{\n",
       "\t\tlogoImage = logoElement.src;\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tlogoImage = 'http://marbl.github.io/Krona/img/logo-med.png';\n",
       "\t}\n",
       "\t\n",
       "//\tdocument.getElementById('options').style.fontSize = '9pt';\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition,\n",
       "'<a style=\"margin:2px\" target=\"_blank\" href=\"https://github.com/marbl/Krona/wiki\"><img style=\"vertical-align:middle;width:108px;height:30px;\" src=\"' + logoImage + '\" alt=\"Logo of Krona\"/></a><input type=\"button\" id=\"back\" value=\"&larr;\" title=\"Go back (Shortcut: &larr;)\"/>\\\n",
       "<input type=\"button\" id=\"forward\" value=\"&rarr;\" title=\"Go forward (Shortcut: &rarr;)\"/> \\\n",
       "&nbsp;Search: <input type=\"text\" id=\"search\"/>\\\n",
       "<input id=\"searchClear\" type=\"button\" value=\"x\" onclick=\"clearSearch()\"/> \\\n",
       "<span id=\"searchResults\"></span>'\n",
       "\t);\n",
       "\t\n",
       "\tif ( datasets > 1 )\n",
       "\t{\n",
       "\t\tvar size = datasets < datasetSelectSize ? datasets : datasetSelectSize;\n",
       "\t\t\n",
       "\t\tvar select =\n",
       "\t\t\t'<table style=\"border-collapse:collapse;padding:0px\"><tr><td style=\"padding:0px\">' +\n",
       "\t\t\t'<select id=\"datasets\" style=\"min-width:100px\" size=\"' + size + '\" onchange=\"onDatasetChange()\">';\n",
       "\t\t\n",
       "\t\tfor ( var i = 0; i < datasetNames.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tselect += '<option>' + datasetNames[i] + '</option>';\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tselect +=\n",
       "\t\t\t'</select></td><td style=\"vertical-align:top;padding:1px;\">' +\n",
       "\t\t\t'<input style=\"display:block\" title=\"Previous dataset (Shortcut: &uarr;)\" id=\"prevDataset\" type=\"button\" value=\"&uarr;\" onclick=\"prevDataset()\" disabled=\"true\"/>' +\n",
       "\t\t\t'<input title=\"Next dataset (Shortcut: &darr;)\" id=\"nextDataset\" type=\"button\" value=\"&darr;\" onclick=\"nextDataset()\"/><br/></td>' +\n",
       "\t\t\t'<td style=\"padding-top:1px;vertical-align:top\"><input title=\"Switch to the last dataset that was viewed (Shortcut: TAB)\" id=\"lastDataset\" type=\"button\" style=\"font:11px Times new roman\" value=\"last\" onclick=\"selectLastDataset()\"/></td></tr></table>';\n",
       "\t\t\n",
       "\t\tposition = addOptionElement(position + 5, select);\n",
       "\t\t\n",
       "\t\tdatasetDropDown = document.getElementById('datasets');\n",
       "\t\tdatasetButtonLast = document.getElementById('lastDataset');\n",
       "\t\tdatasetButtonPrev = document.getElementById('prevDataset');\n",
       "\t\tdatasetButtonNext = document.getElementById('nextDataset');\n",
       "\t\t\n",
       "\t\tposition += datasetDropDown.clientHeight;\n",
       "\t}\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition + 5,\n",
       "'<input type=\"button\" id=\"maxAbsoluteDepthDecrease\" value=\"-\"/>\\\n",
       "<span id=\"maxAbsoluteDepth\"></span>\\\n",
       "&nbsp;<input type=\"button\" id=\"maxAbsoluteDepthIncrease\" value=\"+\"/> Max depth',\n",
       "'Maximum depth to display, counted from the top level \\\n",
       "and including collapsed wedges.'\n",
       "\t);\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition,\n",
       "'<input type=\"button\" id=\"fontSizeDecrease\" value=\"-\"/>\\\n",
       "<span id=\"fontSize\"></span>\\\n",
       "&nbsp;<input type=\"button\" id=\"fontSizeIncrease\" value=\"+\"/> Font size'\n",
       "\t);\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition,\n",
       "'<input type=\"button\" id=\"radiusDecrease\" value=\"-\"/>\\\n",
       "<input type=\"button\" id=\"radiusIncrease\" value=\"+\"/> Chart size'\n",
       "\t);\n",
       "\t\n",
       "\tif ( hueName )\n",
       "\t{\n",
       "\t\thueDisplayName = attributes[attributeIndex(hueName)].displayName;\n",
       "\t\t\n",
       "\t\tposition = addOptionElement\n",
       "\t\t(\n",
       "\t\t\tposition + 5,\n",
       "\t\t\t'<input type=\"checkbox\" id=\"useHue\" style=\"float:left\" ' +\n",
       "\t\t\t'/><div>Color by<br/>' + hueDisplayName +\n",
       "\t\t\t'</div>'\n",
       "\t\t);\n",
       "\t\t\n",
       "\t\tuseHueCheckBox = document.getElementById('useHue');\n",
       "\t\tuseHueCheckBox.checked = hueDefault;\n",
       "\t\tuseHueCheckBox.onclick = handleResize;\n",
       "\t\tuseHueCheckBox.onmousedown = suppressEvent;\n",
       "\t}\n",
       "\t/*\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition + 5,\n",
       "\t\t'&nbsp;<input type=\"checkbox\" id=\"shorten\" checked=\"checked\" />Shorten labels</div>',\n",
       "\t\t'Prevent labels from overlapping by shortening them'\n",
       "\t);\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition,\n",
       "\t\t'&nbsp;<input type=\"checkbox\" id=\"compress\" checked=\"checked\" />Compress',\n",
       "\t\t'Compress wedges if needed to show the entire depth'\n",
       "\t);\n",
       "\t*/\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition,\n",
       "\t\t'<input type=\"checkbox\" id=\"collapse\" checked=\"checked\" />Collapse',\n",
       "\t\t'Collapse wedges that are redundant (entirely composed of another wedge)'\n",
       "\t);\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition + 5,\n",
       "\t\t'<input type=\"button\" id=\"snapshot\" value=\"Snapshot\"/>',\n",
       "'Render the current view as SVG (Scalable Vector Graphics), a publication-\\\n",
       "quality format that can be printed and saved (see Help for browser compatibility)'\n",
       "\t);\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition + 5,\n",
       "'<input type=\"button\" id=\"linkButton\" value=\"Link\"/>\\\n",
       "<input type=\"text\" size=\"30\" id=\"linkText\"/>',\n",
       "'Show a link to this view that can be copied for bookmarking or sharing'\n",
       "\t);\n",
       "\t\n",
       "\tposition = addOptionElement\n",
       "\t(\n",
       "\t\tposition + 5,\n",
       "'<input type=\"button\" id=\"help\" value=\"?\"\\\n",
       "onclick=\"window.open(\\'https://github.com/marbl/Krona/wiki/Browsing%20Krona%20charts\\', \\'help\\')\"/>',\n",
       "'Help'\n",
       "\t);\n",
       "}\n",
       "\n",
       "function arrow(angleStart, angleEnd, radiusInner)\n",
       "{\n",
       "\tif ( context.globalAlpha == 0 )\n",
       "\t{\n",
       "\t\treturn;\n",
       "\t}\n",
       "\t\n",
       "\tvar angleCenter = (angleStart + angleEnd) / 2;\n",
       "\tvar radiusArrowInner = radiusInner - gRadius / 10;//nodeRadius * gRadius;\n",
       "\tvar radiusArrowOuter = gRadius * 1.1;//(1 + nodeRadius);\n",
       "\tvar radiusArrowCenter = (radiusArrowInner + radiusArrowOuter) / 2;\n",
       "\tvar pointLength = (radiusArrowOuter - radiusArrowInner) / 5;\n",
       "\t\n",
       "\tcontext.fillStyle = highlightFill;\n",
       "\tcontext.lineWidth = highlightLineWidth;\n",
       "\t\n",
       "\t// First, mask out the first half of the arrow.  This will prevent the tips\n",
       "\t// from superimposing if the arrow goes most of the way around the circle.\n",
       "\t// Masking is done by setting the clipping region to the inverse of the\n",
       "\t// half-arrow, which is defined by cutting the half-arrow out of a large\n",
       "\t// rectangle\n",
       "\t//\n",
       "\tcontext.beginPath();\n",
       "\tcontext.arc(0, 0, radiusInner, angleCenter, angleEnd, false);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowInner * Math.cos(angleEnd),\n",
       "\t\tradiusArrowInner * Math.sin(angleEnd)\n",
       "\t);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowCenter * Math.cos(angleEnd) - pointLength * Math.sin(angleEnd),\n",
       "\t\tradiusArrowCenter * Math.sin(angleEnd) + pointLength * Math.cos(angleEnd)\n",
       "\t);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowOuter * Math.cos(angleEnd),\n",
       "\t\tradiusArrowOuter * Math.sin(angleEnd)\n",
       "\t);\n",
       "\tcontext.arc(0, 0, gRadius, angleEnd, angleCenter, true);\n",
       "\tcontext.closePath();\n",
       "\tcontext.moveTo(-imageWidth, -imageHeight);\n",
       "\tcontext.lineTo(imageWidth, -imageHeight);\n",
       "\tcontext.lineTo(imageWidth, imageHeight);\n",
       "\tcontext.lineTo(-imageWidth, imageHeight);\n",
       "\tcontext.closePath();\n",
       "\tcontext.save();\n",
       "\tcontext.clip();\n",
       "\t\n",
       "\t// Next, draw the other half-arrow with the first half masked out\n",
       "\t//\n",
       "\tcontext.beginPath();\n",
       "\tcontext.arc(0, 0, radiusInner, angleCenter, angleStart, true);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowInner * Math.cos(angleStart),\n",
       "\t\tradiusArrowInner * Math.sin(angleStart)\n",
       "\t);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowCenter * Math.cos(angleStart) + pointLength * Math.sin(angleStart),\n",
       "\t\tradiusArrowCenter * Math.sin(angleStart) - pointLength * Math.cos(angleStart)\n",
       "\t);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowOuter * Math.cos(angleStart),\n",
       "\t\tradiusArrowOuter * Math.sin(angleStart)\n",
       "\t);\n",
       "\tcontext.arc(0, 0, gRadius, angleStart, angleCenter, false);\n",
       "\tcontext.fill();\n",
       "\tcontext.stroke();\n",
       "\t\n",
       "\t// Finally, remove the clipping region and draw the first half-arrow.  This\n",
       "\t// half is extended slightly to fill the seam.\n",
       "\t//\n",
       "\tcontext.restore();\n",
       "\tcontext.beginPath();\n",
       "\tcontext.arc(0, 0, radiusInner, angleCenter - 2 / (2 * Math.PI * radiusInner), angleEnd, false);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowInner * Math.cos(angleEnd),\n",
       "\t\tradiusArrowInner * Math.sin(angleEnd)\n",
       "\t);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowCenter * Math.cos(angleEnd) - pointLength * Math.sin(angleEnd),\n",
       "\t\tradiusArrowCenter * Math.sin(angleEnd) + pointLength * Math.cos(angleEnd)\n",
       "\t);\n",
       "\tcontext.lineTo\n",
       "\t(\n",
       "\t\tradiusArrowOuter * Math.cos(angleEnd),\n",
       "\t\tradiusArrowOuter * Math.sin(angleEnd)\n",
       "\t);\n",
       "\tcontext.arc(0, 0, gRadius, angleEnd, angleCenter - 2 / (2 * Math.PI * gRadius), true);\n",
       "\tcontext.fill();\n",
       "\tcontext.stroke();\n",
       "}\n",
       "\n",
       "function attributeIndex(aname)\n",
       "{\n",
       "\tfor ( var i = 0 ; i < attributes.length; i++ )\n",
       "\t{\n",
       "\t\tif ( aname == attributes[i].name )\n",
       "\t\t{\n",
       "\t\t\treturn i;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\treturn null;\n",
       "}\n",
       "\n",
       "function checkHighlight()\n",
       "{\n",
       "\tvar lastHighlightedNode = highlightedNode;\n",
       "\tvar lastHighlightingHidden = highlightingHidden;\n",
       "\t\n",
       "\thighlightedNode = selectedNode;\n",
       "\tresetKeyOffset();\n",
       "\t\n",
       "\tif ( progress == 1 )\n",
       "\t{\n",
       "\t\tselectedNode.checkHighlight();\n",
       "\t\tif ( selectedNode.getParent() )\n",
       "\t\t{\n",
       "\t\t\tselectedNode.getParent().checkHighlightCenter();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tfocusNode.checkHighlightMap();\n",
       "\t}\n",
       "\t\n",
       "\tif ( highlightedNode != selectedNode )\n",
       "\t{\n",
       "\t\tif ( highlightedNode == focusNode )\n",
       "\t\t{\n",
       "//\t\t\tcanvas.style.display='none';\n",
       "//\t\t\twindow.resizeBy(1,0);\n",
       "//\t\t\tcanvas.style.cursor='ew-resize';\n",
       "//\t\t\twindow.resizeBy(-1,0);\n",
       "//\t\t\tcanvas.style.display='inline';\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "//\t\t\tcanvas.style.cursor='pointer';\n",
       "\t\t}\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "//\t\tcanvas.style.cursor='auto';\n",
       "\t}\n",
       "\t\n",
       "\tif\n",
       "\t(\n",
       "\t\t(\n",
       "\t\t\ttrue ||\n",
       "\t\t\thighlightedNode != lastHighlightedNode ||\n",
       "\t\t\thighlightingHidden != highlightingHiddenLast\n",
       "\t\t) &&\n",
       "\t\tprogress == 1\n",
       "\t)\n",
       "\t{\n",
       "\t\tdraw(); // TODO: handle in update()\n",
       "\t}\n",
       "}\n",
       "\n",
       "function checkSelectedCollapse()\n",
       "{\n",
       "\tvar newNode = selectedNode;\n",
       "\t\n",
       "\twhile ( newNode.getCollapse() )\n",
       "\t{\n",
       "\t\tnewNode = newNode.children[0];\n",
       "\t}\n",
       "\t\n",
       "\tif ( newNode.children.length == 0 && newNode.getParent() )\n",
       "\t{\n",
       "\t\tnewNode = newNode.getParent();\n",
       "\t}\n",
       "\t\n",
       "\tif ( newNode != selectedNode )\n",
       "\t{\n",
       "\t\tselectNode(newNode);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function clearSearch()\n",
       "{\n",
       "\tif ( search.value != '' )\n",
       "\t{\n",
       "\t\tsearch.value = '';\n",
       "\t\tonSearchChange();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function createSVG()\n",
       "{\n",
       "\tsvgNS = \"http://www.w3.org/2000/svg\";\n",
       "\tvar SVG = {};\n",
       "\tSVG.xlinkns = \"http://www.w3.org/1999/xlink\";\n",
       "\t\n",
       "\tvar newSVG = document.createElementNS(svgNS, \"svg:svg\");\n",
       "\t\n",
       "\tnewSVG.setAttribute(\"id\", \"canvas\");\n",
       "\t// How big is the canvas in pixels\n",
       "\tnewSVG.setAttribute(\"width\", '100%');\n",
       "\tnewSVG.setAttribute(\"height\", '100%');\n",
       "\t// Set the coordinates used by drawings in the canvas\n",
       "//\tnewSVG.setAttribute(\"viewBox\", \"0 0 \" + imageWidth + \" \" + imageHeight);\n",
       "\t// Define the XLink namespace that SVG uses\n",
       "\tnewSVG.setAttributeNS\n",
       "\t(\n",
       "\t\t\"http://www.w3.org/2000/xmlns/\",\n",
       "\t\t\"xmlns:xlink\",\n",
       "\t\tSVG.xlinkns\n",
       "\t);\n",
       "\t\n",
       "\treturn newSVG;\n",
       "}\n",
       "\n",
       "function degrees(radians)\n",
       "{\n",
       "\treturn radians * 180 / Math.PI;\n",
       "}\n",
       "\n",
       "function draw()\n",
       "{\n",
       "\ttweenFrames++;\n",
       "\t//resize();\n",
       "//\tcontext.fillRect(0, 0, imageWidth, imageHeight);\n",
       "\tcontext.clearRect(0, 0, imageWidth, imageHeight);\n",
       "\t\n",
       "\tcontext.font = fontNormal;\n",
       "\tcontext.textBaseline = 'middle';\n",
       "\t\n",
       "\t//context.strokeStyle = 'rgba(0, 0, 0, 0.3)';\n",
       "\tcontext.translate(centerX, centerY);\n",
       "\t\n",
       "\tresetKeyOffset();\n",
       "\t\n",
       "\thead.draw(false, false); // draw pie slices\n",
       "\thead.draw(true, false); // draw labels\n",
       "\t\n",
       "\tvar pathRoot = selectedNode;\n",
       "\t\n",
       "\tif ( focusNode != 0 && focusNode != selectedNode )\n",
       "\t{\n",
       "\t\tcontext.globalAlpha = 1;\n",
       "\t\tfocusNode.drawHighlight(true);\n",
       "\t\tpathRoot = focusNode;\n",
       "\t}\n",
       "\t\n",
       "\tif\n",
       "\t(\n",
       "\t\thighlightedNode &&\n",
       "\t\thighlightedNode.getDepth() >= selectedNode.getDepth() &&\n",
       "\t\thighlightedNode != focusNode\n",
       "\t)\n",
       "\t{\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\tprogress == 1 &&\n",
       "\t\t\thighlightedNode != selectedNode &&\n",
       "\t\t\t(\n",
       "\t\t\t\thighlightedNode != focusNode ||\n",
       "\t\t\t\tfocusNode.children.length > 0\n",
       "\t\t\t)\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tcontext.globalAlpha = 1;\n",
       "\t\t\thighlightedNode.drawHighlight(true);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\t//pathRoot = highlightedNode;\n",
       "\t}\n",
       "\telse if\n",
       "\t(\n",
       "\t\tprogress == 1 &&\n",
       "\t\thighlightedNode.getDepth() < selectedNode.getDepth()\n",
       "\t)\n",
       "\t{\n",
       "\t\tcontext.globalAlpha = 1;\n",
       "\t\thighlightedNode.drawHighlightCenter();\n",
       "\t}\n",
       "\t\n",
       "\tif ( quickLook && false) // TEMP\n",
       "\t{\n",
       "\t\tcontext.globalAlpha = 1 - progress / 2;\n",
       "\t\tselectedNode.drawHighlight(true);\n",
       "\t}\n",
       "\telse if ( progress < 1 )//&& zoomOut() )\n",
       "\t{\n",
       "\t\tif ( !zoomOut)//() )\n",
       "\t\t{\n",
       "\t\t\tcontext.globalAlpha = selectedNode.alphaLine.current();\n",
       "\t\t\tselectedNode.drawHighlight(true);\n",
       "\t\t}\n",
       "\t\telse if ( selectedNodeLast )\n",
       "\t\t{\n",
       "\t\t\tcontext.globalAlpha = 1 - 4 * Math.pow(progress - .5, 2);\n",
       "\t\t\tselectedNodeLast.drawHighlight(false);\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tdrawDatasetName();\n",
       "\t\n",
       "\t//drawHistory();\n",
       "\t\n",
       "\tcontext.translate(-centerX, -centerY);\n",
       "\tcontext.globalAlpha = 1;\n",
       "\t\n",
       "\tmapRadius =\n",
       "\t\t(imageHeight / 2 - details.clientHeight - details.offsetTop) /\n",
       "\t\t(pathRoot.getDepth() - 1) * 3 / 4 / 2;\n",
       "\t\n",
       "\tif ( mapRadius > maxMapRadius )\n",
       "\t{\n",
       "\t\tmapRadius = maxMapRadius;\n",
       "\t}\n",
       "\t\n",
       "\tmapBuffer = mapRadius / 2;\n",
       "\t\n",
       "\t//context.font = fontNormal;\n",
       "\tpathRoot.drawMap(pathRoot);\n",
       "\t\n",
       "\tif ( hueDisplayName && useHue() )\n",
       "\t{\n",
       "\t\tdrawLegend();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function drawBubble(angle, radius, width, radial, flip)\n",
       "{\n",
       "\tvar height = fontSize * 2;\n",
       "\tvar x;\n",
       "\tvar y;\n",
       "\t\n",
       "\twidth = width + fontSize;\n",
       "\t\n",
       "\tif ( radial )\n",
       "\t{\n",
       "\t\ty = -fontSize;\n",
       "\t\t\n",
       "\t\tif ( flip )\n",
       "\t\t{\n",
       "\t\t\tx = radius - width + fontSize / 2;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tx = radius - fontSize / 2;\n",
       "\t\t}\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tx = -width / 2;\n",
       "\t\ty = -radius - fontSize;\n",
       "\t}\n",
       "\t\n",
       "\tif ( snapshotMode )\n",
       "\t{\n",
       "\t\tdrawBubbleSVG(x + centerX, y + centerY, width, height, fontSize, angle);\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tdrawBubbleCanvas(x, y, width, height, fontSize, angle);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function drawBubbleCanvas(x, y, width, height, radius, rotation)\n",
       "{\n",
       "\tcontext.strokeStyle = 'black';\n",
       "\tcontext.lineWidth = highlightLineWidth;\n",
       "\tcontext.fillStyle = 'rgba(255, 255, 255, .75)';\n",
       "\tcontext.rotate(rotation);\n",
       "\troundedRectangle(x, y, width, fontSize * 2, fontSize);\n",
       "\tcontext.fill();\n",
       "\tcontext.stroke();\n",
       "\tcontext.rotate(-rotation);\n",
       "}\n",
       "\n",
       "function drawBubbleSVG(x, y, width, height, radius, rotation)\n",
       "{\n",
       "\tsvg +=\n",
       "\t\t'<rect x=\"' + x + '\" y=\"' + y +\n",
       "\t\t'\" width=\"' + width +\n",
       "\t\t'\" height=\"' + height +\n",
       "\t\t'\" rx=\"' + radius +\n",
       "\t\t'\" ry=\"' + radius +\n",
       "\t\t'\" fill=\"rgba(255, 255, 255, .75)' +\n",
       "\t\t'\" class=\"highlight\" ' +\n",
       "\t\t'transform=\"rotate(' +\n",
       "\t\tdegrees(rotation) + ',' + centerX + ',' + centerY +\n",
       "\t\t')\"/>';\n",
       "}\n",
       "\n",
       "function drawDatasetName()\n",
       "{\n",
       "\tvar alpha = datasetAlpha.current();\n",
       "\t\n",
       "\tif ( alpha > 0 )\n",
       "\t{\n",
       "\t\tvar radius = gRadius * compressedRadii[0] / -2;\n",
       "\t\t\n",
       "\t\tif ( alpha > 1 )\n",
       "\t\t{\n",
       "\t\t\talpha = 1;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tcontext.globalAlpha = alpha;\n",
       "\t\t\n",
       "\t\tdrawBubble(0, -radius, datasetWidths[currentDataset], false, false);\n",
       "\t\tdrawText(datasetNames[currentDataset], 0, radius, 0, 'center', true);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function drawHistory()\n",
       "{\n",
       "\tvar alpha = 1;\n",
       "\tcontext.textAlign = 'center';\n",
       "\t\n",
       "\tfor ( var i = 0; i < nodeHistoryPosition && alpha > 0; i++ )\n",
       "\t{\n",
       "\t\t\n",
       "\t\tcontext.globalAlpha = alpha - historyAlphaDelta * tweenFactor;\n",
       "\t\tcontext.fillText\n",
       "\t\t(\n",
       "\t\t\tnodeHistory[nodeHistoryPosition - i - 1].name,\n",
       "\t\t\t0,\n",
       "\t\t\t(i + tweenFactor) * historySpacingFactor * fontSize - 1\n",
       "\t\t);\n",
       "\t\t\n",
       "\t\tif ( alpha > 0 )\n",
       "\t\t{\n",
       "\t\t\talpha -= historyAlphaDelta;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tcontext.globalAlpha = 1;\n",
       "}\n",
       "\n",
       "function drawLegend()\n",
       "{\n",
       "\tvar left = imageWidth * .01;\n",
       "\tvar width = imageHeight * .0265;\n",
       "\tvar height = imageHeight * .15;\n",
       "\tvar top = imageHeight - fontSize * 3.5 - height;\n",
       "\tvar textLeft = left + width + fontSize / 2;\n",
       "\t\n",
       "\tcontext.fillStyle = 'black';\n",
       "\tcontext.textAlign = 'start';\n",
       "\tcontext.font = fontNormal;\n",
       "//\tcontext.fillText(valueStartText, textLeft, top + height);\n",
       "//\tcontext.fillText(valueEndText, textLeft, top);\n",
       "\tcontext.fillText(hueDisplayName, left, imageHeight - fontSize * 1.5);\n",
       "\t\n",
       "\tvar gradient = context.createLinearGradient(0, top + height, 0, top);\n",
       "\t\n",
       "\tfor ( var i = 0; i < hueStopPositions.length; i++ )\n",
       "\t{\n",
       "\t\tgradient.addColorStop(hueStopPositions[i], hueStopHsl[i]);\n",
       "\t\t\n",
       "\t\tvar textY = top + (1 - hueStopPositions[i]) * height;\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\ti == 0 ||\n",
       "\t\t\ti == hueStopPositions.length - 1 ||\n",
       "\t\t\ttextY > top + fontSize && textY < top + height - fontSize\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\tcontext.fillText(hueStopText[i], textLeft, textY);\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tcontext.fillStyle = gradient;\n",
       "\tcontext.fillRect(left, top, width, height);\n",
       "\tcontext.lineWidth = thinLineWidth;\n",
       "\tcontext.strokeRect(left, top, width, height);\n",
       "}\n",
       "\n",
       "function drawLegendSVG()\n",
       "{\n",
       "\tvar left = imageWidth * .01;\n",
       "\tvar width = imageHeight * .0265;\n",
       "\tvar height = imageHeight * .15;\n",
       "\tvar top = imageHeight - fontSize * 3.5 - height;\n",
       "\tvar textLeft = left + width + fontSize / 2;\n",
       "\n",
       "\tvar text = '';\n",
       "\t\n",
       "\ttext += svgText(hueDisplayName, left, imageHeight - fontSize * 1.5);\n",
       "\t\n",
       "\tvar svgtest = '<linearGradient id=\"gradient\" x1=\"0%\" y1=\"100%\" x2=\"0%\" y2=\"0%\">';\n",
       "\t\n",
       "\tfor ( var i = 0; i < hueStopPositions.length; i++ )\n",
       "\t{\n",
       "\t\tsvgtest +=\n",
       "\t\t\t'<stop offset=\"' + round(hueStopPositions[i] * 100) +\n",
       "\t\t\t'%\" style=\"stop-color:' + hueStopHsl[i] + '\"/>';\n",
       "\t\t\n",
       "\t\tvar textY = top + (1 - hueStopPositions[i]) * height;\n",
       "\t\t\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\ti == 0 ||\n",
       "\t\t\ti == hueStopPositions.length - 1 ||\n",
       "\t\t\ttextY > top + fontSize && textY < top + height - fontSize\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\ttext += svgText(hueStopText[i], textLeft, textY);\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tsvgtest += '</linearGradient>';\n",
       "\t//alert(svgtest);\n",
       "\tsvg += svgtest;\n",
       "\tsvg +=\n",
       "\t\t'<rect style=\"fill:url(#gradient)\" x=\"' + left + '\" y=\"' + top +\n",
       "\t\t'\" width=\"' + width + '\" height=\"' + height + '\"/>';\n",
       "\t\n",
       "\tsvg += text;\n",
       "}\n",
       "\n",
       "function drawSearchHighlights(label, bubbleX, bubbleY, rotation, center)\n",
       "{\n",
       "\tvar index = -1;\n",
       "\tvar labelLength = label.length;\n",
       "\t\n",
       "\tbubbleX -= fontSize / 4;\n",
       "\t\n",
       "\tdo\n",
       "\t{\n",
       "\t\tindex = label.toLowerCase().indexOf(search.value.toLowerCase(), index + 1);\n",
       "\t\t\n",
       "\t\tif ( index != -1 && index < labelLength )\n",
       "\t\t{\n",
       "\t\t\tvar dim = context.measureText(label.substr(0, index));\n",
       "\t\t\tvar x = bubbleX + dim.width;\n",
       "\t\t\t\n",
       "\t\t\tdim = context.measureText(label.substr(index, search.value.length));\n",
       "\t\t\t\n",
       "\t\t\tvar y = bubbleY - fontSize * 3 / 4;\n",
       "\t\t\tvar width = dim.width + fontSize / 2;\n",
       "\t\t\tvar height = fontSize * 3 / 2;\n",
       "\t\t\tvar radius = fontSize / 2;\n",
       "\t\t\t\n",
       "\t\t\tif ( snapshotMode )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( center )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tx += centerX;\n",
       "\t\t\t\t\ty += centerY;\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tsvg +=\n",
       "\t\t\t\t\t'<rect x=\"' + x + '\" y=\"' + y +\n",
       "\t\t\t\t\t'\" width=\"' + width +\n",
       "\t\t\t\t\t'\" height=\"' + height +\n",
       "\t\t\t\t\t'\" rx=\"' + radius +\n",
       "\t\t\t\t\t'\" ry=\"' + radius +\n",
       "\t\t\t\t\t'\" class=\"searchHighlight' +\n",
       "\t\t\t\t\t'\" transform=\"rotate(' +\n",
       "\t\t\t\t\tdegrees(rotation) + ',' + centerX + ',' + centerY +\n",
       "\t\t\t\t\t')\"/>';\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tcontext.fillStyle = 'rgb(255, 255, 100)';\n",
       "\t\t\t\tcontext.rotate(rotation);\n",
       "\t\t\t\troundedRectangle(x, y, width, height, radius);\n",
       "\t\t\t\tcontext.fill();\n",
       "\t\t\t\tcontext.rotate(-rotation);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\twhile ( index != -1 && index < labelLength );\n",
       "}\n",
       "\n",
       "function drawText(text, x, y, angle, anchor, bold, color)\n",
       "{\n",
       "\tif ( color == undefined )\n",
       "\t{\n",
       "\t\tcolor = 'black';\n",
       "\t}\n",
       "\t\n",
       "\tif ( snapshotMode )\n",
       "\t{\n",
       "\t\tsvg +=\n",
       "\t\t\t'<text x=\"' + (centerX + x) + '\" y=\"' + (centerY + y) +\n",
       "\t\t\t'\" text-anchor=\"' + anchor + '\" style=\"font-color:' + color + ';font-weight:' + (bold ? 'bold' : 'normal') +\n",
       "\t\t\t'\" transform=\"rotate(' + degrees(angle) + ',' + centerX + ',' + centerY + ')\">' +\n",
       "\t\t\ttext + '</text>';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tcontext.fillStyle = color;\n",
       "\t\tcontext.textAlign = anchor;\n",
       "\t\tcontext.font = bold ? fontBold : fontNormal;\n",
       "\t\tcontext.rotate(angle);\n",
       "\t\tcontext.fillText(text, x, y);\n",
       "\t\tcontext.rotate(-angle);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function drawTextPolar\n",
       "(\n",
       "\ttext,\n",
       "\tinnerText,\n",
       "\tangle,\n",
       "\tradius,\n",
       "\tradial,\n",
       "\tbubble,\n",
       "\tbold, \n",
       "\tsearchResult,\n",
       "\tsearchResults\n",
       ")\n",
       "{\n",
       "\tvar anchor;\n",
       "\tvar textX;\n",
       "\tvar textY;\n",
       "\tvar spacer;\n",
       "\tvar totalText = text;\n",
       "\tvar flip;\n",
       "\t\n",
       "\tif ( snapshotMode )\n",
       "\t{\n",
       "\t\tspacer = '&#160;&#160;&#160;';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tspacer = '   ';\n",
       "\t}\n",
       "\t\n",
       "\tif ( radial )\n",
       "\t{\n",
       "\t\tflip = angle < 3 * Math.PI / 2;\n",
       "\t\t\n",
       "\t\tif ( flip )\n",
       "\t\t{\n",
       "\t\t\tangle -= Math.PI;\n",
       "\t\t\tradius = -radius;\n",
       "\t\t\tanchor = 'end';\n",
       "\t\t\t\n",
       "\t\t\tif ( innerText )\n",
       "\t\t\t{\n",
       "\t\t\t\ttotalText = text + spacer + innerText;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tanchor = 'start';\n",
       "\t\t\t\n",
       "\t\t\tif ( innerText )\n",
       "\t\t\t{\n",
       "\t\t\t\ttotalText = innerText + spacer + text;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\ttextX = radius;\n",
       "\t\ttextY = 0;\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tflip = angle < Math.PI || angle > 2 * Math.PI;\n",
       "\t\tvar label;\n",
       "\t\t\n",
       "\t\tanchor = snapshotMode ? 'middle' : 'center';\n",
       "\t\t\n",
       "\t\tif ( flip )\n",
       "\t\t{\n",
       "\t\t\tangle -= Math.PI;\n",
       "\t\t\tradius = -radius;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tangle += Math.PI / 2;\n",
       "\t\ttextX = 0;\n",
       "\t\ttextY = -radius;\n",
       "\t}\n",
       "\t\n",
       "\tif ( bubble )\n",
       "\t{\n",
       "\t\tvar textActual = totalText;\n",
       "\t\t\n",
       "\t\tif ( innerText && snapshotMode )\n",
       "\t\t{\n",
       "\t\t\tif ( flip )\n",
       "\t\t\t{\n",
       "\t\t\t\ttextActual = text + '   ' + innerText;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\ttextActual = innerText + '   ' + text;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( searchResults )\n",
       "\t\t{\n",
       "\t\t\ttextActual = textActual + searchResultString(searchResults);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar textWidth = measureText(textActual, bold);\n",
       "\t\t\n",
       "\t\tvar x = textX;\n",
       "\t\t\n",
       "\t\tif ( anchor == 'end' )\n",
       "\t\t{\n",
       "\t\t\tx -= textWidth;\n",
       "\t\t}\n",
       "\t\telse if ( anchor != 'start' )\n",
       "\t\t{\n",
       "\t\t\t// centered\n",
       "\t\t\tx -= textWidth / 2;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tdrawBubble(angle, radius, textWidth, radial, flip);\n",
       "\t\t\n",
       "\t\tif ( searchResult )\n",
       "\t\t{\n",
       "\t\t\tdrawSearchHighlights\n",
       "\t\t\t(\n",
       "\t\t\t\ttextActual,\n",
       "\t\t\t\tx,\n",
       "\t\t\t\ttextY,\n",
       "\t\t\t\tangle,\n",
       "\t\t\t\ttrue\n",
       "\t\t\t)\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tif ( searchResults )\n",
       "\t{\n",
       "\t\ttotalText = totalText + searchResultString(searchResults);\n",
       "\t}\n",
       "\t\n",
       "\tdrawText(totalText, textX, textY, angle, anchor, bold);\n",
       "\t\n",
       "\treturn flip;\n",
       "}\n",
       "\n",
       "function drawTick(start, length, angle)\n",
       "{\n",
       "\tif ( snapshotMode )\n",
       "\t{\n",
       "\t\tsvg +=\n",
       "\t\t\t'<line x1=\"' + (centerX + start) +\n",
       "\t\t\t'\" y1=\"' + centerY +\n",
       "\t\t\t'\" x2=\"' + (centerX + start + length) +\n",
       "\t\t\t'\" y2=\"' + centerY +\n",
       "\t\t\t'\" class=\"tick\" transform=\"rotate(' +\n",
       "\t\t\tdegrees(angle) + ',' + centerX + ',' + centerY +\n",
       "\t\t\t')\"/>';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tcontext.rotate(angle);\n",
       "\t\tcontext.beginPath();\n",
       "\t\tcontext.moveTo(start, 0);\n",
       "\t\tcontext.lineTo(start + length, 0);\n",
       "\t\tcontext.lineWidth = thinLineWidth * 2;\n",
       "\t\tcontext.stroke();\n",
       "\t\tcontext.rotate(-angle);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function drawWedge\n",
       "(\n",
       "\tangleStart,\n",
       "\tangleEnd,\n",
       "\tradiusInner,\n",
       "\tradiusOuter,\n",
       "\tcolor,\n",
       "\tpatternAlpha,\n",
       "\thighlight\n",
       ")\n",
       "{\n",
       "\tif ( context.globalAlpha == 0 )\n",
       "\t{\n",
       "\t\treturn;\n",
       "\t}\n",
       "\t\n",
       "\tif ( snapshotMode )\n",
       "\t{\n",
       "\t\tif ( angleEnd == angleStart + Math.PI * 2 )\n",
       "\t\t{\n",
       "\t\t\t// fudge to prevent overlap, which causes arc ambiguity\n",
       "\t\t\t//\n",
       "\t\t\tangleEnd -= .1 / gRadius;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tvar longArc = angleEnd - angleStart > Math.PI ? 1 : 0;\n",
       "\t\t\n",
       "\t\tvar x1 = centerX + radiusInner * Math.cos(angleStart);\n",
       "\t\tvar y1 = centerY + radiusInner * Math.sin(angleStart);\n",
       "\t\t\n",
       "\t\tvar x2 = centerX + gRadius * Math.cos(angleStart);\n",
       "\t\tvar y2 = centerY + gRadius * Math.sin(angleStart);\n",
       "\t\t\n",
       "\t\tvar x3 = centerX + gRadius * Math.cos(angleEnd);\n",
       "\t\tvar y3 = centerY + gRadius * Math.sin(angleEnd);\n",
       "\t\t\n",
       "\t\tvar x4 = centerX + radiusInner * Math.cos(angleEnd);\n",
       "\t\tvar y4 = centerY + radiusInner * Math.sin(angleEnd);\n",
       "\t\t\n",
       "\t\tvar dArray =\n",
       "\t\t[\n",
       "\t\t\t\" M \", x1, \",\", y1,\n",
       "\t\t\t\" L \", x2, \",\", y2,\n",
       "\t\t\t\" A \", gRadius, \",\", gRadius, \" 0 \", longArc, \",1 \", x3, \",\", y3,\n",
       "\t\t\t\" L \", x4, \",\", y4,\n",
       "\t\t\t\" A \", radiusInner, \",\", radiusInner, \" 0 \", longArc, \" 0 \", x1, \",\", y1,\n",
       "\t\t\t\" Z \"\n",
       "\t\t];\n",
       "\t\t\n",
       "\t\tsvg +=\n",
       "\t\t\t'<path class=\"'+ (highlight ? 'highlight' : 'wedge') + '\" fill=\"' + color +\n",
       "\t\t\t'\" d=\"' + dArray.join('') + '\"/>';\n",
       "\t\t\n",
       "\t\tif ( patternAlpha > 0 )\n",
       "\t\t{\n",
       "\t\t\tsvg +=\n",
       "\t\t\t\t'<path class=\"wedge\" fill=\"url(#hiddenPattern)\" d=\"' +\n",
       "\t\t\t\tdArray.join('') + '\"/>';\n",
       "\t\t}\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\t// fudge to prevent seams during animation\n",
       "\t\t//\n",
       "\t\tangleEnd += 1 / gRadius;\n",
       "\t\t\n",
       "\t\tcontext.fillStyle = color;\n",
       "\t\tcontext.beginPath();\n",
       "\t\tcontext.arc(0, 0, radiusInner, angleStart, angleEnd, false);\n",
       "\t\tcontext.arc(0, 0, radiusOuter, angleEnd, angleStart, true);\n",
       "\t\tcontext.closePath();\n",
       "\t\tcontext.fill();\n",
       "\t\t\n",
       "\t\tif ( patternAlpha > 0 )\n",
       "\t\t{\n",
       "\t\t\tcontext.save();\n",
       "\t\t\tcontext.clip();\n",
       "\t\t\tcontext.globalAlpha = patternAlpha;\n",
       "\t\t\tcontext.fillStyle = hiddenPattern;\n",
       "\t\t\tcontext.fill();\n",
       "\t\t\tcontext.restore();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( highlight )\n",
       "\t\t{\n",
       "\t\t\tcontext.lineWidth = highlight ? highlightLineWidth : thinLineWidth;\n",
       "\t\t\tcontext.strokeStyle = 'black';\n",
       "\t\t\tcontext.stroke();\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function expand(node)\n",
       "{\n",
       "\tselectNode(node);\n",
       "\tupdateView();\n",
       "}\n",
       "\n",
       "function focusLost()\n",
       "{\n",
       "\tmouseX = -1;\n",
       "\tmouseY = -1;\n",
       "\tcheckHighlight();\n",
       "\tdocument.body.style.cursor = 'auto';\n",
       "}\n",
       "\n",
       "function fontSizeDecrease()\n",
       "{\n",
       "\tif ( fontSize > 1 )\n",
       "\t{\n",
       "\t\tfontSize--;\n",
       "\t\tupdateViewNeeded = true;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function fontSizeIncrease()\n",
       "{\n",
       "\tfontSize++;\n",
       "\tupdateViewNeeded = true;\n",
       "}\n",
       "\n",
       "function getGetString(name, value, bool)\n",
       "{\n",
       "\treturn name + '=' + (bool ? value ? 'true' : 'false' : value);\n",
       "}\n",
       "\n",
       "function hideLink()\n",
       "{\n",
       "\thide(linkText);\n",
       "\tshow(linkButton);\n",
       "}\n",
       "\n",
       "function show(object)\n",
       "{\n",
       "\tobject.style.display = 'inline';\n",
       "}\n",
       "\n",
       "function hide(object)\n",
       "{\n",
       "\tobject.style.display = 'none';\n",
       "}\n",
       "\n",
       "function showLink()\n",
       "{\n",
       "\tvar urlHalves = String(document.location).split('?');\n",
       "\tvar newGetVariables = new Array();\n",
       "\t\n",
       "\tnewGetVariables.push\n",
       "\t(\n",
       "\t\tgetGetString('dataset', currentDataset, false),\n",
       "\t\tgetGetString('node', selectedNode.id, false),\n",
       "\t\tgetGetString('collapse', collapse, true),\n",
       "\t\tgetGetString('color', useHue(), true),\n",
       "\t\tgetGetString('depth', maxAbsoluteDepth - 1, false),\n",
       "\t\tgetGetString('font', fontSize, false),\n",
       "\t\tgetGetString('key', showKeys, true)\n",
       "\t);\n",
       "\t\n",
       "\thide(linkButton);\n",
       "\tshow(linkText);\n",
       "\tlinkText.value = urlHalves[0] + '?' + getVariables.concat(newGetVariables).join('&');\n",
       "\t//linkText.disabled = false;\n",
       "\tlinkText.focus();\n",
       "\tlinkText.select();\n",
       "\t//linkText.disabled = true;\n",
       "//\tdocument.location = urlHalves[0] + '?' + getVariables.join('&');\n",
       "}\n",
       "\n",
       "function getFirstChild(element)\n",
       "{\n",
       "\telement = element.firstChild;\n",
       "\t\n",
       "\tif ( element && element.nodeType != 1 )\n",
       "\t{\n",
       "\t\telement = getNextSibling(element);\n",
       "\t}\n",
       "\t\n",
       "\treturn element;\n",
       "}\n",
       "\n",
       "function getNextSibling(element)\n",
       "{\n",
       "\tdo\n",
       "\t{\n",
       "\t\telement = element.nextSibling;\n",
       "\t}\n",
       "\twhile ( element && element.nodeType != 1 );\n",
       "\t\n",
       "\treturn element;\n",
       "}\n",
       "\n",
       "function getPercentage(fraction)\n",
       "{\n",
       "\treturn round(fraction * 100);\n",
       "}\n",
       "\n",
       "function hslText(hue)\n",
       "{\n",
       "\tif ( 1 || snapshotMode )\n",
       "\t{\n",
       "\t\t// Safari doesn't seem to allow hsl() in SVG\n",
       "\t\t\n",
       "\t\tvar rgb = hslToRgb(hue, saturation, (lightnessBase + lightnessMax) / 2);\n",
       "\t\t\n",
       "\t\treturn rgbText(rgb.r, rgb.g, rgb.b);\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tvar hslArray =\n",
       "\t\t[\n",
       "\t\t\t'hsl(',\n",
       "\t\t\tMath.floor(hue * 360),\n",
       "\t\t\t',',\n",
       "\t\t\tMath.floor(saturation * 100),\n",
       "\t\t\t'%,',\n",
       "\t\t\tMath.floor((lightnessBase + lightnessMax) * 50),\n",
       "\t\t\t'%)'\n",
       "\t\t];\n",
       "\t\t\n",
       "\t\treturn hslArray.join('');\n",
       "\t}\n",
       "}\n",
       "\n",
       "function hslToRgb(h, s, l)\n",
       "{\n",
       "\tvar m1, m2;\n",
       "\tvar r, g, b;\n",
       "\t\n",
       "\tif (s == 0)\n",
       "\t{\n",
       "\t\tr = g = b = Math.floor((l * 255));\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tif (l <= 0.5)\n",
       "\t\t{\n",
       "\t\t\tm2 = l * (s + 1);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tm2 = l + s - l * s;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tm1 = l * 2 - m2;\n",
       "\t\t\n",
       "\t\tr = Math.floor(hueToRgb(m1, m2, h + 1 / 3));\n",
       "\t\tg = Math.floor(hueToRgb(m1, m2, h));\n",
       "\t\tb = Math.floor(hueToRgb(m1, m2, h - 1/3));\n",
       "\t}\n",
       "\t\n",
       "\treturn {r: r, g: g, b: b};\n",
       "}\n",
       "\n",
       "function hueToRgb(m1, m2, hue)\n",
       "{\n",
       "\tvar v;\n",
       "\t\n",
       "\twhile (hue < 0)\n",
       "\t{\n",
       "\t\thue += 1;\n",
       "\t}\n",
       "\t\n",
       "\twhile (hue > 1)\n",
       "\t{\n",
       "\t\thue -= 1;\n",
       "\t}\n",
       "\t\n",
       "\tif (6 * hue < 1)\n",
       "\t\tv = m1 + (m2 - m1) * hue * 6;\n",
       "\telse if (2 * hue < 1)\n",
       "\t\tv = m2;\n",
       "\telse if (3 * hue < 2)\n",
       "\t\tv = m1 + (m2 - m1) * (2/3 - hue) * 6;\n",
       "\telse\n",
       "\t\tv = m1;\n",
       "\n",
       "\treturn 255 * v;\n",
       "}\n",
       "\n",
       "function interpolateHue(hueStart, hueEnd, valueStart, valueEnd)\n",
       "{\n",
       "\t// since the gradient will be RGB based, we need to add stops to hit all the\n",
       "\t// colors in the hue spectrum\n",
       "\t\n",
       "\thueStopPositions = new Array();\n",
       "\thueStopHsl = new Array();\n",
       "\thueStopText = new Array();\n",
       "\t\n",
       "\thueStopPositions.push(0);\n",
       "\thueStopHsl.push(hslText(hueStart));\n",
       "\thueStopText.push(round(valueStart));\n",
       "\t\n",
       "\tfor\n",
       "\t(\n",
       "\t\tvar i = (hueStart > hueEnd ? 5 / 6 : 1 / 6);\n",
       "\t\t(hueStart > hueEnd ? i > 0 : i < 1);\n",
       "\t\ti += (hueStart > hueEnd ? -1 : 1) / 6\n",
       "\t)\n",
       "\t{\n",
       "\t\tif\n",
       "\t\t(\n",
       "\t\t\thueStart > hueEnd ?\n",
       "\t\t\t\ti > hueEnd && i < hueStart :\n",
       "\t\t\t\ti > hueStart && i < hueEnd\n",
       "\t\t)\n",
       "\t\t{\n",
       "\t\t\thueStopPositions.push(lerp(i, hueStart, hueEnd, 0, 1));\n",
       "\t\t\thueStopHsl.push(hslText(i));\n",
       "\t\t\thueStopText.push(round(lerp\n",
       "\t\t\t(\n",
       "\t\t\t\ti,\n",
       "\t\t\t\thueStart,\n",
       "\t\t\t\thueEnd,\n",
       "\t\t\t\tvalueStart,\n",
       "\t\t\t\tvalueEnd\n",
       "\t\t\t)));\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\thueStopPositions.push(1);\n",
       "\thueStopHsl.push(hslText(hueEnd));\n",
       "\thueStopText.push(round(valueEnd));\n",
       "}\n",
       "\n",
       "function keyLineAngle(angle, keyAngle, bendRadius, keyX, keyY, pointsX, pointsY)\n",
       "{\n",
       "\tif ( angle < Math.PI / 2 && keyY < bendRadius * Math.sin(angle) \n",
       "\t|| angle > Math.PI / 2 && keyY < bendRadius)\n",
       "\t{\n",
       "\t\treturn Math.asin(keyY / bendRadius);\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\t// find the angle of the normal to a tangent line that goes to\n",
       "\t\t// the label\n",
       "\t\t\n",
       "\t\tvar textDist = Math.sqrt\n",
       "\t\t(\n",
       "\t\t\tMath.pow(keyX, 2) +\n",
       "\t\t\tMath.pow(keyY, 2)\n",
       "\t\t);\n",
       "\t\t\n",
       "\t\tvar tanAngle = Math.acos(bendRadius / textDist) + keyAngle;\n",
       "\t\t\n",
       "\t\tif ( angle < tanAngle || angle < Math.PI / 2 )//|| labelLeft < centerX )\n",
       "\t\t{\n",
       "\t\t\t// angle doesn't reach far enough for tangent; collapse and\n",
       "\t\t\t// connect directly to label\n",
       "\t\t\t\n",
       "\t\t\tif ( keyY / Math.tan(angle) > 0 )\n",
       "\t\t\t{\n",
       "\t\t\t\tpointsX.push(keyY / Math.tan(angle));\n",
       "\t\t\t\tpointsY.push(keyY);\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tpointsX.push(bendRadius * Math.cos(angle));\n",
       "\t\t\t\tpointsY.push(bendRadius * Math.sin(angle));\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\treturn angle;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\treturn tanAngle;\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function keyOffset()\n",
       "{\n",
       "\treturn imageHeight - (keys - currentKey + 1) * (keySize + keyBuffer) + keyBuffer - margin;\n",
       "}\n",
       "\n",
       "function lerp(value, fromStart, fromEnd, toStart, toEnd)\n",
       "{\n",
       "\treturn (value - fromStart) *\n",
       "\t\t(toEnd - toStart) /\n",
       "\t\t(fromEnd - fromStart) +\n",
       "\t\ttoStart;\n",
       "}\n",
       "\n",
       "function createCanvas()\n",
       "{\n",
       "\tcanvas = document.createElement('canvas');\n",
       "\tdocument.body.appendChild(canvas);\n",
       "\tcontext = canvas.getContext('2d');\n",
       "}\n",
       "\n",
       "function load()\n",
       "{\n",
       "\tdocument.body.style.overflow = \"hidden\";\n",
       "\tdocument.body.style.margin = 0;\n",
       "\t\n",
       "\tcreateCanvas();\n",
       "\t\n",
       "\tif ( context == undefined )\n",
       "\t{\n",
       "\t\tdocument.body.innerHTML = '\\\n",
       "<br/>This browser does not support HTML5 (see \\\n",
       "<a href=\"https://github.com/marbl/Krona/wiki/Browser%20support\">Browser support</a>).\\\n",
       "\t';\n",
       "\t\treturn;\n",
       "\t}\n",
       "\n",
       "\tif ( typeof context.fillText != 'function' )\n",
       "\t{\n",
       "\t\tdocument.body.innerHTML = '\\\n",
       "<br/>This browser does not support HTML5 canvas text (see \\\n",
       "<a href=\"https://github.com/marbl/Krona/wiki/Browser%20support\">Browser support</a>).\\\n",
       "\t';\n",
       "\t\treturn;\n",
       "\t}\n",
       "\t\n",
       "\tresize();\n",
       "\t\n",
       "\tvar kronaElement = document.getElementsByTagName('krona')[0];\n",
       "\t\n",
       "\tvar magnitudeName;\n",
       "\tvar hueName;\n",
       "\tvar hueDefault;\n",
       "\tvar hueStart;\n",
       "\tvar hueEnd;\n",
       "\tvar valueStart;\n",
       "\tvar valueEnd;\n",
       "\t\n",
       "\tif ( kronaElement.getAttribute('collapse') != undefined )\n",
       "\t{\n",
       "\t\tcollapse = kronaElement.getAttribute('collapse') == 'true';\n",
       "\t}\n",
       "\t\n",
       "\tif ( kronaElement.getAttribute('key') != undefined )\n",
       "\t{\n",
       "\t\tshowKeys = kronaElement.getAttribute('key') == 'true';\n",
       "\t}\n",
       "\t\n",
       "\tfor\n",
       "\t(\n",
       "\t\tvar element = getFirstChild(kronaElement);\n",
       "\t\telement;\n",
       "\t\telement = getNextSibling(element)\n",
       "\t)\n",
       "\t{\n",
       "\t\tswitch ( element.tagName.toLowerCase() )\n",
       "\t\t{\n",
       "\t\t\tcase 'attributes':\n",
       "\t\t\t\tmagnitudeName = element.getAttribute('magnitude');\n",
       "\t\t\t\t//\n",
       "\t\t\t\tfor\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tvar attributeElement = getFirstChild(element);\n",
       "\t\t\t\t\tattributeElement;\n",
       "\t\t\t\t\tattributeElement = getNextSibling(attributeElement)\n",
       "\t\t\t\t)\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar tag = attributeElement.tagName.toLowerCase();\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( tag == 'attribute' )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar attribute = new Attribute();\n",
       "\t\t\t\t\t\tattribute.name = attributeElement.firstChild.nodeValue.toLowerCase();\n",
       "\t\t\t\t\t\tattribute.displayName = attributeElement.getAttribute('display');\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributeElement.getAttribute('hrefBase') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.hrefBase = attributeElement.getAttribute('hrefBase');\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributeElement.getAttribute('target') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.target = attributeElement.getAttribute('target');\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attribute.name == magnitudeName )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tmagnitudeIndex = attributes.length;\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributeElement.getAttribute('listAll') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.listAll = attributeElement.getAttribute('listAll').toLowerCase();\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\telse if ( attributeElement.getAttribute('listNode') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.listNode = attributeElement.getAttribute('listNode').toLowerCase();\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\telse if ( attributeElement.getAttribute('dataAll') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.dataAll = attributeElement.getAttribute('dataAll').toLowerCase();\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\telse if ( attributeElement.getAttribute('dataNode') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.dataNode = attributeElement.getAttribute('dataNode').toLowerCase();\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributeElement.getAttribute('postUrl') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.postUrl = attributeElement.getAttribute('postUrl');\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributeElement.getAttribute('postVar') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.postVar = attributeElement.getAttribute('postVar');\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributeElement.getAttribute('mono') )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\tattribute.mono = true;\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tattributes.push(attribute);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\telse if ( tag == 'list' )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar attribute = new Attribute();\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tattribute.name = attributeElement.firstChild.nodeValue;\n",
       "\t\t\t\t\t\tattribute.list = true;\n",
       "\t\t\t\t\t\tattributes.push(attribute);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\telse if ( tag == 'data' )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar attribute = new Attribute();\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tattribute.name = attributeElement.firstChild.nodeValue;\n",
       "\t\t\t\t\t\tattribute.data = true;\n",
       "\t\t\t\t\t\tattributes.push(attribute);\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tvar enableScript = document.createElement('script');\n",
       "\t\t\t\t\t\tvar date = new Date();\n",
       "\t\t\t\t\t\tenableScript.src =\n",
       "\t\t\t\t\t\t\tattributeElement.getAttribute('enable') + '?' +\n",
       "\t\t\t\t\t\t\tdate.getTime();\n",
       "\t\t\t\t\t\tdocument.body.appendChild(enableScript);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\tbreak;\n",
       "\t\t\t\n",
       "\t\t\tcase 'color':\n",
       "\t\t\t\thueName = element.getAttribute('attribute');\n",
       "\t\t\t\thueStart = Number(element.getAttribute('hueStart')) / 360;\n",
       "\t\t\t\thueEnd = Number(element.getAttribute('hueEnd')) / 360;\n",
       "\t\t\t\tvalueStart = Number(element.getAttribute('valueStart'));\n",
       "\t\t\t\tvalueEnd = Number(element.getAttribute('valueEnd'));\n",
       "\t\t\t\t//\n",
       "\t\t\t\tinterpolateHue(hueStart, hueEnd, valueStart, valueEnd);\n",
       "\t\t\t\t//\n",
       "\t\t\t\tif ( element.getAttribute('default') == 'true' )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\thueDefault = true;\n",
       "\t\t\t\t}\n",
       "\t\t\t\tbreak;\n",
       "\t\t\t\n",
       "\t\t\tcase 'datasets':\n",
       "\t\t\t\tdatasetNames = new Array();\n",
       "\t\t\t\t//\n",
       "\t\t\t\tfor ( j = getFirstChild(element); j; j = getNextSibling(j) )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tdatasetNames.push(j.firstChild.nodeValue);\n",
       "\t\t\t\t}\n",
       "\t\t\t\tdatasets = datasetNames.length;\n",
       "\t\t\t\tbreak;\n",
       "\t\t\t\n",
       "\t\t\tcase 'node':\n",
       "\t\t\t\thead = loadTreeDOM\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\telement,\n",
       "\t\t\t\t\tmagnitudeName,\n",
       "\t\t\t\t\thueName,\n",
       "\t\t\t\t\thueStart,\n",
       "\t\t\t\t\thueEnd,\n",
       "\t\t\t\t\tvalueStart,\n",
       "\t\t\t\t\tvalueEnd\n",
       "\t\t\t\t);\n",
       "\t\t\t\tbreak;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\t// get GET options\n",
       "\t//\n",
       "\tvar urlHalves = String(document.location).split('?');\n",
       "\tvar datasetDefault = 0;\n",
       "\tvar maxDepthDefault;\n",
       "\tvar nodeDefault = 0;\n",
       "\t//\n",
       "\tif ( urlHalves[1] )\n",
       "\t{\n",
       "\t\tvar vars = urlHalves[1].split('&');\n",
       "\t\t\n",
       "\t\tfor ( i = 0; i < vars.length; i++ )\n",
       "\t\t{\n",
       "\t\t\tvar pair = vars[i].split('=');\n",
       "\t\t\t\n",
       "\t\t\tswitch ( pair[0] )\n",
       "\t\t\t{\n",
       "\t\t\t\tcase 'collapse':\n",
       "\t\t\t\t\tcollapse = pair[1] == 'true';\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\n",
       "\t\t\t\tcase 'color':\n",
       "\t\t\t\t\thueDefault = pair[1] == 'true';\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\n",
       "\t\t\t\tcase 'dataset':\n",
       "\t\t\t\t\tdatasetDefault = Number(pair[1]);\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\t\n",
       "\t\t\t\tcase 'depth':\n",
       "\t\t\t\t\tmaxDepthDefault = Number(pair[1]) + 1;\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\n",
       "\t\t\t\tcase 'key':\n",
       "\t\t\t\t\tshowKeys = pair[1] == 'true';\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\n",
       "\t\t\t\tcase 'font':\n",
       "\t\t\t\t\tfontSize = Number(pair[1]);\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\n",
       "\t\t\t\tcase 'node':\n",
       "\t\t\t\t\tnodeDefault = Number(pair[1]);\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t\t\n",
       "\t\t\t\tdefault:\n",
       "\t\t\t\t\tgetVariables.push(pair[0] + '=' + pair[1]);\n",
       "\t\t\t\t\tbreak;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\taddOptionElements(hueName, hueDefault);\n",
       "\tsetCallBacks();\n",
       "\t\n",
       "\thead.sort();\n",
       "\tmaxAbsoluteDepth = 0;\n",
       "\tselectDataset(datasetDefault);\n",
       "\t\n",
       "\tif ( maxDepthDefault && maxDepthDefault < head.maxDepth )\n",
       "\t{\n",
       "\t\tmaxAbsoluteDepth = maxDepthDefault;\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tmaxAbsoluteDepth = head.maxDepth;\n",
       "\t}\n",
       "\t\n",
       "\tselectNode(nodes[nodeDefault]);\n",
       "\t\n",
       "\tsetInterval(update, 20);\n",
       "\t\n",
       "\twindow.onresize = handleResize;\n",
       "\tupdateMaxAbsoluteDepth();\n",
       "\tupdateViewNeeded = true;\n",
       "}\n",
       "\n",
       "function loadTreeDOM\n",
       "(\n",
       "\tdomNode,\n",
       "\tmagnitudeName,\n",
       "\thueName,\n",
       "\thueStart,\n",
       "\thueEnd,\n",
       "\tvalueStart,\n",
       "\tvalueEnd\n",
       ")\n",
       "{\n",
       "\tvar newNode = new Node();\n",
       "\t\n",
       "\tnewNode.name = domNode.getAttribute('name');\n",
       "\t\n",
       "\tif ( domNode.getAttribute('href') )\n",
       "\t{\n",
       "\t\tnewNode.href = domNode.getAttribute('href');\n",
       "\t}\n",
       "\t\n",
       "\tif ( hueName )\n",
       "\t{\n",
       "\t\tnewNode.hues = new Array();\n",
       "\t}\n",
       "\t\n",
       "\tfor ( var i = getFirstChild(domNode); i; i = getNextSibling(i) )\n",
       "\t{\n",
       "\t\tswitch ( i.tagName.toLowerCase() )\n",
       "\t\t{\n",
       "\t\tcase 'node': \n",
       "\t\t\tvar newChild = loadTreeDOM\n",
       "\t\t\t(\n",
       "\t\t\t\ti,\n",
       "\t\t\t\tmagnitudeName,\n",
       "\t\t\t\thueName,\n",
       "\t\t\t\thueStart,\n",
       "\t\t\t\thueEnd,\n",
       "\t\t\t\tvalueStart,\n",
       "\t\t\t\tvalueEnd\n",
       "\t\t\t);\n",
       "\t\t\tnewChild.parent = newNode;\n",
       "\t\t\tnewNode.children.push(newChild);\n",
       "\t\t\tbreak;\n",
       "\t\t\t\n",
       "\t\tdefault:\n",
       "\t\t\tvar attributeName = i.tagName.toLowerCase();\n",
       "\t\t\tvar index = attributeIndex(attributeName);\n",
       "\t\t\t//\n",
       "\t\t\tnewNode.attributes[index] = new Array();\n",
       "\t\t\t//\n",
       "\t\t\tfor ( var j = getFirstChild(i); j; j = getNextSibling(j) )\n",
       "\t\t\t{\n",
       "\t\t\t\tif ( attributes[index] == undefined )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar x = 5;\n",
       "\t\t\t\t}\n",
       "\t\t\t\tif ( attributes[index].list )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tnewNode.attributes[index].push(new Array());\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tfor ( var k = getFirstChild(j); k; k = getNextSibling(k) )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tnewNode.attributes[index][newNode.attributes[index].length - 1].push(k.firstChild.nodeValue);\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar value = j.firstChild ? j.firstChild.nodeValue : '';\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( j.getAttribute('href') )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar target;\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( attributes[index].target )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\ttarget = ' target=\"' + attributes[index].target + '\"';\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tvalue = '<a href=\"' + attributes[index].hrefBase + j.getAttribute('href') + '\"' + target + '>' + value + '</a>';\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tnewNode.attributes[index].push(value);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\t//\n",
       "\t\t\tif ( attributeName == magnitudeName || attributeName == hueName )\n",
       "\t\t\t{\n",
       "\t\t\t\tfor ( j = 0; j < datasets; j++ )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvar value = newNode.attributes[index][j] == undefined ? 0 : Number(newNode.attributes[index][j]);\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tnewNode.attributes[index][j] = value;\n",
       "\t\t\t\t\t\n",
       "\t\t\t\t\tif ( attributeName == hueName )\n",
       "\t\t\t\t\t{\n",
       "\t\t\t\t\t\tvar hue = lerp\n",
       "\t\t\t\t\t\t(\n",
       "\t\t\t\t\t\t\tvalue,\n",
       "\t\t\t\t\t\t\tvalueStart,\n",
       "\t\t\t\t\t\t\tvalueEnd,\n",
       "\t\t\t\t\t\t\thueStart,\n",
       "\t\t\t\t\t\t\thueEnd\n",
       "\t\t\t\t\t\t);\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tif ( hue < hueStart == hueStart < hueEnd )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\thue = hueStart;\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\telse if ( hue > hueEnd == hueStart < hueEnd )\n",
       "\t\t\t\t\t\t{\n",
       "\t\t\t\t\t\t\thue = hueEnd;\n",
       "\t\t\t\t\t\t}\n",
       "\t\t\t\t\t\t\n",
       "\t\t\t\t\t\tnewNode.hues[j] = hue;\n",
       "\t\t\t\t\t}\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( attributeName == hueName )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tnewNode.hue = new Tween(newNode.hues[0], newNode.hues[0]);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t\tbreak;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\treturn newNode;\n",
       "}\n",
       "\n",
       "function maxAbsoluteDepthDecrease()\n",
       "{\n",
       "\tif ( maxAbsoluteDepth > 2 )\n",
       "\t{\n",
       "\t\tmaxAbsoluteDepth--;\n",
       "\t\thead.setMaxDepths();\n",
       "\t\thandleResize();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function maxAbsoluteDepthIncrease()\n",
       "{\n",
       "\tif ( maxAbsoluteDepth < head.maxDepth )\n",
       "\t{\n",
       "\t\tmaxAbsoluteDepth++;\n",
       "\t\thead.setMaxDepths();\n",
       "\t\thandleResize();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function measureText(text, bold)\n",
       "{\n",
       "\tcontext.font = bold ? fontBold : fontNormal;\n",
       "\tvar dim = context.measureText(text);\n",
       "\treturn dim.width;\n",
       "}\n",
       "\n",
       "function min(a, b)\n",
       "{\n",
       "\treturn a < b ? a : b;\n",
       "}\n",
       "\n",
       "function minWidth()\n",
       "{\n",
       "\t// Min wedge width (at center) for displaying a node (or for displaying a\n",
       "\t// label if it's at the highest level being viewed, multiplied by 2 to make\n",
       "\t// further calculations simpler\n",
       "\t\n",
       "\treturn (fontSize * 2.3);\n",
       "}\n",
       "\n",
       "function mouseMove(e)\n",
       "{\n",
       "\tmouseX = e.pageX;\n",
       "\tmouseY = e.pageY - headerHeight;\n",
       "\tmouseXRel = (mouseX - centerX) * backingScale()\n",
       "\tmouseYRel = (mouseY - centerY) * backingScale()\n",
       "\t\n",
       "\tif ( head && ! quickLook )\n",
       "\t{\n",
       "\t\tcheckHighlight();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function mouseClick(e)\n",
       "{\n",
       "\tif ( highlightedNode == focusNode && focusNode != selectedNode || selectedNode.hasParent(highlightedNode) )\n",
       "\t{\n",
       "\t\tif ( highlightedNode.hasChildren() )\n",
       "\t\t{\n",
       "\t\t\texpand(highlightedNode);\n",
       "\t\t}\n",
       "\t}\n",
       "\telse if ( progress == 1 )//( highlightedNode != selectedNode )\n",
       "\t{\n",
       "\t\tsetFocus(highlightedNode);\n",
       "//\t\tdocument.body.style.cursor='ew-resize';\n",
       "\t\tdraw();\n",
       "\t\tcheckHighlight();\n",
       "\t\tvar date = new Date();\n",
       "\t\tmouseDownTime = date.getTime();\n",
       "\t\tmouseDown = true;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function mouseUp(e)\n",
       "{\n",
       "\tif ( quickLook )\n",
       "\t{\n",
       "\t\tnavigateBack();\n",
       "\t\tquickLook = false;\n",
       "\t}\n",
       "\t\n",
       "\tmouseDown = false;\n",
       "}\n",
       "\n",
       "function navigateBack()\n",
       "{\n",
       "\tif ( nodeHistoryPosition > 0 )\n",
       "\t{\n",
       "\t\tnodeHistory[nodeHistoryPosition] = selectedNode;\n",
       "\t\tnodeHistoryPosition--;\n",
       "\t\t\n",
       "\t\tif ( nodeHistory[nodeHistoryPosition].collapse )\n",
       "\t\t{\n",
       "\t\t\tcollapseCheckBox.checked = collapse = false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tsetSelectedNode(nodeHistory[nodeHistoryPosition]);\n",
       "\t\tupdateDatasetButtons();\n",
       "\t\tupdateView();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function navigateUp()\n",
       "{\n",
       "\tif ( selectedNode.getParent() )\n",
       "\t{\n",
       "\t\tselectNode(selectedNode.getParent());\n",
       "\t\tupdateView();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function navigateForward()\n",
       "{\n",
       "\tif ( nodeHistoryPosition < nodeHistory.length - 1 )\n",
       "\t{\n",
       "\t\tnodeHistoryPosition++;\n",
       "\t\tvar newNode = nodeHistory[nodeHistoryPosition];\n",
       "\t\t\n",
       "\t\tif ( newNode.collapse )\n",
       "\t\t{\n",
       "\t\t\tcollapseCheckBox.checked = collapse = false;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( nodeHistoryPosition == nodeHistory.length - 1 )\n",
       "\t\t{\n",
       "\t\t\t// this will ensure the forward button is disabled\n",
       "\t\t\t\n",
       "\t\t\tnodeHistory.length = nodeHistoryPosition;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tsetSelectedNode(newNode);\n",
       "\t\tupdateDatasetButtons();\n",
       "\t\tupdateView();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function nextDataset()\n",
       "{\n",
       "\tvar newDataset = currentDataset;\n",
       "\t\n",
       "\tdo\n",
       "\t{\n",
       "\t\tif ( newDataset == datasets - 1 )\n",
       "\t\t{\n",
       "\t\t\tnewDataset = 0;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tnewDataset++;\n",
       "\t\t}\n",
       "\t}\n",
       "\twhile ( datasetDropDown.options[newDataset].disabled )\n",
       "\t\n",
       "\tselectDataset(newDataset);\n",
       "}\n",
       "\n",
       "function onDatasetChange()\n",
       "{\n",
       "\tselectDataset(datasetDropDown.selectedIndex);\n",
       "}\n",
       "\n",
       "function onKeyDown(event)\n",
       "{\n",
       "\tif\n",
       "\t(\n",
       "\t\tevent.keyCode == 37 &&\n",
       "\t\tdocument.activeElement.id != 'search' &&\n",
       "\t\tdocument.activeElement.id != 'linkText'\n",
       "\t)\n",
       "\t{\n",
       "\t\tnavigateBack();\n",
       "\t\tevent.preventDefault();\n",
       "\t}\n",
       "\telse if\n",
       "\t(\n",
       "\t\tevent.keyCode == 39 &&\n",
       "\t\tdocument.activeElement.id != 'search' &&\n",
       "\t\tdocument.activeElement.id != 'linkText'\n",
       "\t)\n",
       "\t{\n",
       "\t\tnavigateForward();\n",
       "\t\tevent.preventDefault();\n",
       "\t}\n",
       "\telse if ( event.keyCode == 38 && datasets > 1 )\n",
       "\t{\n",
       "\t\tprevDataset();\n",
       "\t\t\n",
       "\t\t//if ( document.activeElement.id == 'datasets' )\n",
       "\t\t{\n",
       "\t\t\tevent.preventDefault();\n",
       "\t\t}\n",
       "\t}\n",
       "\telse if ( event.keyCode == 40 && datasets > 1 )\n",
       "\t{\n",
       "\t\tnextDataset();\n",
       "\t\t\n",
       "\t\t//if ( document.activeElement.id == 'datasets' )\n",
       "\t\t{\n",
       "\t\t\tevent.preventDefault();\n",
       "\t\t}\n",
       "\t}\n",
       "\telse if ( event.keyCode == 9 && datasets > 1 )\n",
       "\t{\n",
       "\t\tselectLastDataset();\n",
       "\t\tevent.preventDefault();\n",
       "\t}\n",
       "\telse if ( event.keyCode == 83 )\n",
       "\t{\n",
       "\t\tprogress += .2;\n",
       "\t}\n",
       "\telse if ( event.keyCode == 66 )\n",
       "\t{\n",
       "\t\tprogress -= .2;\n",
       "\t}\n",
       "\telse if ( event.keyCode == 70 )\n",
       "\t{\n",
       "\t\tprogress = 1;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function onKeyPress(event)\n",
       "{\n",
       "\tif ( event.keyCode == 38 && datasets > 1 )\n",
       "\t{\n",
       "//\t\tprevDataset();\n",
       "\t\t\n",
       "\t\t//if ( document.activeElement.id == 'datasets' )\n",
       "\t\t{\n",
       "\t\t\tevent.preventDefault();\n",
       "\t\t}\n",
       "\t}\n",
       "\telse if ( event.keyCode == 40 && datasets > 1 )\n",
       "\t{\n",
       "//\t\tnextDataset();\n",
       "\t\t\n",
       "\t\t//if ( document.activeElement.id == 'datasets' )\n",
       "\t\t{\n",
       "\t\t\tevent.preventDefault();\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function onKeyUp(event)\n",
       "{\n",
       "\tif ( event.keyCode == 27 && document.activeElement.id == 'search' )\n",
       "\t{\n",
       "\t\tsearch.value = '';\n",
       "\t\tonSearchChange();\n",
       "\t}\n",
       "\telse if ( event.keyCode == 38 && datasets > 1 )\n",
       "\t{\n",
       "//\t\tprevDataset();\n",
       "\t\t\n",
       "\t\t//if ( document.activeElement.id == 'datasets' )\n",
       "\t\t{\n",
       "\t\t\tevent.preventDefault();\n",
       "\t\t}\n",
       "\t}\n",
       "\telse if ( event.keyCode == 40 && datasets > 1 )\n",
       "\t{\n",
       "//\t\tnextDataset();\n",
       "\t\t\n",
       "\t\t//if ( document.activeElement.id == 'datasets' )\n",
       "\t\t{\n",
       "\t\t\tevent.preventDefault();\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function onSearchChange()\n",
       "{\n",
       "\tnSearchResults = 0;\n",
       "\thead.search();\n",
       "\t\n",
       "\tif ( search.value == '' )\n",
       "\t{\n",
       "\t\tsearchResults.innerHTML = '';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tsearchResults.innerHTML = nSearchResults + ' results';\n",
       "\t}\n",
       "\t\n",
       "\tsetFocus(selectedNode);\n",
       "\tdraw();\n",
       "}\n",
       "\n",
       "function post(url, variable, value, postWindow)\n",
       "{\n",
       "\tvar form = document.createElement('form');\n",
       "\tvar input = document.createElement('input');\n",
       "\tvar inputDataset = document.createElement('input');\n",
       "\t\n",
       "\tform.appendChild(input);\n",
       "\tform.appendChild(inputDataset);\n",
       "\t\n",
       "\tform.method = \"POST\";\n",
       "\tform.action = url;\n",
       "\t\n",
       "\tif ( postWindow == undefined )\n",
       "\t{\n",
       "\t\tform.target = '_blank';\n",
       "\t\tpostWindow = window;\n",
       "\t}\n",
       "\t\n",
       "\tinput.type = 'hidden';\n",
       "\tinput.name = variable;\n",
       "\tinput.value = value;\n",
       "\t\n",
       "\tinputDataset.type = 'hidden';\n",
       "\tinputDataset.name = 'dataset';\n",
       "\tinputDataset.value = currentDataset;\n",
       "\t\n",
       "\tpostWindow.document.body.appendChild(form);\n",
       "\tform.submit();\n",
       "}\n",
       "\n",
       "function prevDataset()\n",
       "{\n",
       "\tvar newDataset = currentDataset;\n",
       "\t\n",
       "\tdo\n",
       "\t{\n",
       "\t\tif ( newDataset == 0 )\n",
       "\t\t{\n",
       "\t\t\tnewDataset = datasets - 1;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tnewDataset--;\n",
       "\t\t}\n",
       "\t}\n",
       "\twhile ( datasetDropDown.options[newDataset].disabled );\n",
       "\t\n",
       "\tselectDataset(newDataset);\n",
       "}\n",
       "\n",
       "function radiusDecrease()\n",
       "{\n",
       "\tif ( bufferFactor < .309 )\n",
       "\t{\n",
       "\t\tbufferFactor += .03;\n",
       "\t\tupdateViewNeeded = true;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function radiusIncrease()\n",
       "{\n",
       "\tif ( bufferFactor > .041 )\n",
       "\t{\n",
       "\t\tbufferFactor -= .03;\n",
       "\t\tupdateViewNeeded = true;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function resetKeyOffset()\n",
       "{\n",
       "\tcurrentKey = 1;\n",
       "\tkeyMinTextLeft = centerX + gRadius + buffer - buffer / (keys + 1) / 2 + fontSize / 2;\n",
       "\tkeyMinAngle = 0;\n",
       "}\n",
       "\n",
       "function rgbText(r, g, b)\n",
       "{\n",
       "\tvar rgbArray =\n",
       "\t[\n",
       "\t\t\"rgb(\",\n",
       "\t\tMath.floor(r),\n",
       "\t\t\",\",\n",
       "\t\tMath.floor(g),\n",
       "\t\t\",\",\n",
       "\t\tMath.floor(b),\n",
       "\t\t\")\"\n",
       "\t];\n",
       "\t\n",
       "\treturn rgbArray.join('');\n",
       "}\n",
       "\n",
       "function round(number)\n",
       "{\n",
       "\tif ( number >= 1 || number <= -1 )\n",
       "\t{\n",
       "\t\treturn number.toFixed(0);\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\treturn number.toPrecision(1);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function roundedRectangle(x, y, width, height, radius)\n",
       "{\n",
       "\tif ( radius * 2 > width )\n",
       "\t{\n",
       "\t\tradius = width / 2;\n",
       "\t}\n",
       "\t\n",
       "\tif ( radius * 2 > height )\n",
       "\t{\n",
       "\t\tradius = height / 2;\n",
       "\t}\n",
       "\t\n",
       "\tcontext.beginPath();\n",
       "\tcontext.arc(x + radius, y + radius, radius, Math.PI, Math.PI * 3 / 2, false);\n",
       "\tcontext.lineTo(x + width - radius, y);\n",
       "\tcontext.arc(x + width - radius, y + radius, radius, Math.PI * 3 / 2, Math.PI * 2, false);\n",
       "\tcontext.lineTo(x + width, y + height - radius);\n",
       "\tcontext.arc(x + width - radius, y + height - radius, radius, 0, Math.PI / 2, false);\n",
       "\tcontext.lineTo(x + radius, y + height);\n",
       "\tcontext.arc(x + radius, y + height - radius, radius, Math.PI / 2, Math.PI, false);\n",
       "\tcontext.lineTo(x, y + radius);\n",
       "}\n",
       "\n",
       "function passClick(e)\n",
       "{\n",
       "\tmouseClick(e);\n",
       "}\n",
       "\n",
       "function searchResultString(results)\n",
       "{\n",
       "\tvar searchResults = this.searchResults;\n",
       "\t\n",
       "\tif ( this.isSearchResult )\n",
       "\t{\n",
       "\t\t// don't count ourselves\n",
       "\t\tsearchResults--;\n",
       "\t}\n",
       "\t\n",
       "\treturn ' - ' + results + (results > 1 ? ' results' : ' result');\n",
       "}\n",
       "\n",
       "function setCallBacks()\n",
       "{\n",
       "\tcanvas.onselectstart = function(){return false;} // prevent unwanted highlighting\n",
       "\toptions.onselectstart = function(){return false;} // prevent unwanted highlighting\n",
       "\tdocument.onmousemove = mouseMove;\n",
       "\twindow.onblur = focusLost;\n",
       "\twindow.onmouseout = focusLost;\n",
       "\tdocument.onkeyup = onKeyUp;\n",
       "\tdocument.onkeydown = onKeyDown;\n",
       "\tcanvas.onmousedown = mouseClick;\n",
       "\tdocument.onmouseup = mouseUp;\n",
       "\tkeyControl.onclick = toggleKeys;\n",
       "\tcollapseCheckBox = document.getElementById('collapse');\n",
       "\tcollapseCheckBox.checked = collapse;\n",
       "\tcollapseCheckBox.onclick = handleResize;\n",
       "\tcollapseCheckBox.onmousedown = suppressEvent;\n",
       "\tmaxAbsoluteDepthText = document.getElementById('maxAbsoluteDepth');\n",
       "\tmaxAbsoluteDepthButtonDecrease = document.getElementById('maxAbsoluteDepthDecrease');\n",
       "\tmaxAbsoluteDepthButtonIncrease = document.getElementById('maxAbsoluteDepthIncrease');\n",
       "\tmaxAbsoluteDepthButtonDecrease.onclick = maxAbsoluteDepthDecrease;\n",
       "\tmaxAbsoluteDepthButtonIncrease.onclick = maxAbsoluteDepthIncrease;\n",
       "\tmaxAbsoluteDepthButtonDecrease.onmousedown = suppressEvent;\n",
       "\tmaxAbsoluteDepthButtonIncrease.onmousedown = suppressEvent;\n",
       "\tfontSizeText = document.getElementById('fontSize');\n",
       "\tfontSizeButtonDecrease = document.getElementById('fontSizeDecrease');\n",
       "\tfontSizeButtonIncrease = document.getElementById('fontSizeIncrease');\n",
       "\tfontSizeButtonDecrease.onclick = fontSizeDecrease;\n",
       "\tfontSizeButtonIncrease.onclick = fontSizeIncrease;\n",
       "\tfontSizeButtonDecrease.onmousedown = suppressEvent;\n",
       "\tfontSizeButtonIncrease.onmousedown = suppressEvent;\n",
       "\tradiusButtonDecrease = document.getElementById('radiusDecrease');\n",
       "\tradiusButtonIncrease = document.getElementById('radiusIncrease');\n",
       "\tradiusButtonDecrease.onclick = radiusDecrease;\n",
       "\tradiusButtonIncrease.onclick = radiusIncrease;\n",
       "\tradiusButtonDecrease.onmousedown = suppressEvent;\n",
       "\tradiusButtonIncrease.onmousedown = suppressEvent;\n",
       "\tmaxAbsoluteDepth = 0;\n",
       "\tbackButton = document.getElementById('back');\n",
       "\tbackButton.onclick = navigateBack;\n",
       "\tbackButton.onmousedown = suppressEvent;\n",
       "\tforwardButton = document.getElementById('forward');\n",
       "\tforwardButton.onclick = navigateForward;\n",
       "\tforwardButton.onmousedown = suppressEvent;\n",
       "\tsnapshotButton = document.getElementById('snapshot');\n",
       "\tsnapshotButton.onclick = snapshot;\n",
       "\tsnapshotButton.onmousedown = suppressEvent;\n",
       "\tdetailsName = document.getElementById('detailsName');\n",
       "\tdetailsExpand = document.getElementById('detailsExpand');\n",
       "\tdetailsInfo = document.getElementById('detailsInfo');\n",
       "\tsearch = document.getElementById('search');\n",
       "\tsearch.onkeyup = onSearchChange;\n",
       "\tsearch.onmousedown = suppressEvent;\n",
       "\tsearchResults = document.getElementById('searchResults');\n",
       "\tuseHueDiv = document.getElementById('useHueDiv');\n",
       "\tlinkButton = document.getElementById('linkButton');\n",
       "\tlinkButton.onclick = showLink;\n",
       "\tlinkButton.onmousedown = suppressEvent;\n",
       "\tlinkText = document.getElementById('linkText');\n",
       "\tlinkText.onblur = hideLink;\n",
       "\tlinkText.onmousedown = suppressEvent;\n",
       "\thide(linkText);\n",
       "\tvar helpButton = document.getElementById('help');\n",
       "\thelpButton.onmousedown = suppressEvent;\n",
       "\tvar searchClear = document.getElementById('searchClear');\n",
       "\tsearchClear.onmousedown = suppressEvent;\n",
       "\tif ( datasets > 1 )\n",
       "\t{\n",
       "\t\tdatasetDropDown.onmousedown = suppressEvent;\n",
       "\t\tvar prevDatasetButton = document.getElementById('prevDataset');\n",
       "\t\tprevDatasetButton.onmousedown = suppressEvent;\n",
       "\t\tvar nextDatasetButton = document.getElementById('nextDataset');\n",
       "\t\tnextDatasetButton.onmousedown = suppressEvent;\n",
       "\t\tvar lastDatasetButton = document.getElementById('lastDataset');\n",
       "\t\tlastDatasetButton.onmousedown = suppressEvent;\n",
       "\t}\n",
       "\t\n",
       "\timage = document.getElementById('hiddenImage');\n",
       "\timage.onload = function()\n",
       "\t{\n",
       "\t\thiddenPattern = context.createPattern(image, 'repeat');\n",
       "\t}\n",
       "\t\n",
       "\tvar loadingImageElement = document.getElementById('loadingImage');\n",
       "\t\n",
       "\tif ( loadingImageElement )\n",
       "\t{\n",
       "\t\tloadingImage = loadingImageElement.src;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function selectDataset(newDataset)\n",
       "{\n",
       "\tlastDataset = currentDataset;\n",
       "\tcurrentDataset = newDataset\n",
       "\tif ( datasets > 1 )\n",
       "\t{\n",
       "\t\tdatasetDropDown.selectedIndex = currentDataset;\n",
       "\t\tupdateDatasetButtons();\n",
       "\t\tdatasetAlpha.start = 1.5;\n",
       "\t\tdatasetChanged = true;\n",
       "\t}\n",
       "\thead.setMagnitudes(0);\n",
       "\thead.setDepth(1, 1);\n",
       "\thead.setMaxDepths();\n",
       "\thandleResize();\n",
       "}\n",
       "\n",
       "function selectLastDataset()\n",
       "{\n",
       "\tselectDataset(lastDataset);\n",
       "\thandleResize();\n",
       "}\n",
       "\n",
       "function selectNode(newNode)\n",
       "{\n",
       "\tif ( selectedNode != newNode )\n",
       "\t{\n",
       "\t\t// truncate history at current location to create a new branch\n",
       "\t\t//\n",
       "\t\tnodeHistory.length = nodeHistoryPosition;\n",
       "\t\t\n",
       "\t\tif ( selectedNode != 0 )\n",
       "\t\t{\n",
       "\t\t\tnodeHistory.push(selectedNode);\n",
       "\t\t\tnodeHistoryPosition++;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tsetSelectedNode(newNode);\n",
       "\t\t//updateView();\n",
       "\t}\n",
       "\t\n",
       "\tupdateDatasetButtons();\n",
       "}\n",
       "\n",
       "function setFocus(node)\n",
       "{\n",
       "\tif ( node == focusNode )\n",
       "\t{\n",
       "//\t\treturn;\n",
       "\t}\n",
       "\t\n",
       "\tfocusNode = node;\n",
       "\t\n",
       "\tif ( node.href )\n",
       "\t{\n",
       "\t\tdetailsName.innerHTML =\n",
       "\t\t\t'<a target=\"_blank\" href=\"' + node.href + '\">' + node.name + '</a>';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tdetailsName.innerHTML = node.name;\n",
       "\t}\n",
       "\t\n",
       "\tvar table = '<table>';\n",
       "\t//TODO: use CSS margins instead of an additional column\n",
       "\ttable += '<tr><td></td><td></td></tr>';\n",
       "\t\n",
       "\tfor ( var i = 0; i < node.attributes.length; i++ )\n",
       "\t{\n",
       "\t\tif ( attributes[i].displayName && node.attributes[i] != undefined )\n",
       "\t\t{\n",
       "\t\t\tvar index = node.attributes[i].length == 1 && attributes[i].mono ? 0 : currentDataset;\n",
       "\t\t\t\n",
       "\t\t\tif ( typeof node.attributes[i][currentDataset] == 'number' || node.attributes[i][index] != undefined && node.attributes[i][currentDataset] != '' )\n",
       "\t\t\t{\n",
       "\t\t\t\tvar value = node.attributes[i][index];\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( attributes[i].listNode != undefined )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvalue =\n",
       "\t\t\t\t\t\t'<a href=\"\" onclick=\"showList(' +\n",
       "\t\t\t\t\t\tattributeIndex(attributes[i].listNode) + ',' + i +\n",
       "\t\t\t\t\t\t',false);return false;\" title=\"Show list\">' +\n",
       "\t\t\t\t\t\tvalue + '</a>';\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse if ( attributes[i].listAll != undefined )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvalue =\n",
       "\t\t\t\t\t\t'<a href=\"\" onclick=\"showList(' +\n",
       "\t\t\t\t\t\tattributeIndex(attributes[i].listAll) + ',' + i +\n",
       "\t\t\t\t\t\t',true);return false;\" title=\"Show list\">' +\n",
       "\t\t\t\t\t\tvalue + '</a>';\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse if ( attributes[i].dataNode != undefined && dataEnabled )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvalue =\n",
       "\t\t\t\t\t\t'<a href=\"\" onclick=\"showData(' +\n",
       "\t\t\t\t\t\tattributeIndex(attributes[i].dataNode) + ',' + i +\n",
       "\t\t\t\t\t\t',false);return false;\" title=\"Show data\">' +\n",
       "\t\t\t\t\t\tvalue + '</a>';\n",
       "\t\t\t\t}\n",
       "\t\t\t\telse if ( attributes[i].dataAll != undefined && dataEnabled )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tvalue =\n",
       "\t\t\t\t\t\t'<a href=\"\" onclick=\"showData(' +\n",
       "\t\t\t\t\t\tattributeIndex(attributes[i].dataAll) + ',' + i +\n",
       "\t\t\t\t\t\t',true);return false;\" title=\"Show data\">' +\n",
       "\t\t\t\t\t\tvalue + '</a>';\n",
       "\t\t\t\t}\n",
       "\t\t\t\t\n",
       "\t\t\t\ttable +=\n",
       "\t\t\t\t\t'<tr><td><strong>' + attributes[i].displayName + ':</strong></td><td>' +\n",
       "\t\t\t\t\tvalue + '</td></tr>';\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\ttable += '</table>';\n",
       "\tdetailsInfo.innerHTML = table;\n",
       "\t\n",
       "\tdetailsExpand.disabled = !focusNode.hasChildren() || focusNode == selectedNode;\n",
       "}\n",
       "\n",
       "function setSelectedNode(newNode)\n",
       "{\n",
       "\tif ( selectedNode && selectedNode.hasParent(newNode) )\n",
       "\t{\n",
       "\t\tzoomOut = true;\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tzoomOut = false;\n",
       "\t}\n",
       "\t\n",
       "\tselectedNodeLast = selectedNode;\n",
       "\tselectedNode = newNode;\n",
       "\t\n",
       "\t//if ( focusNode != selectedNode )\n",
       "\t{\n",
       "\t\tsetFocus(selectedNode);\n",
       "\t}\n",
       "}\n",
       "\n",
       "function waitForData(dataWindow, target, title, time, postUrl, postVar)\n",
       "{\n",
       "\tif ( nodeData.length == target )\n",
       "\t{\n",
       "\t\tif ( postUrl != undefined )\n",
       "\t\t{\n",
       "\t\t\tfor ( var i = 0; i < nodeData.length; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tnodeData[i] = nodeData[i].replace(/\\n/g, ',');\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\tvar postString = nodeData.join('');\n",
       "\t\t\tpostString = postString.slice(0, -1);\n",
       "\t\t\t\n",
       "\t\t\tdataWindow.document.body.removeChild(dataWindow.document.getElementById('loading'));\n",
       "\t\t\tdocument.body.removeChild(document.getElementById('data'));\n",
       "\t\t\t\n",
       "\t\t\tpost(postUrl, postVar, postString, dataWindow);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\t//dataWindow.document.body.removeChild(dataWindow.document.getElementById('loading'));\n",
       "\t\t\t//document.body.removeChild(document.getElementById('data'));\n",
       "\t\t\t\n",
       "\t\t\tdataWindow.document.open();\n",
       "\t\t\tdataWindow.document.write('<pre>' + nodeData.join('') + '</pre>');\n",
       "\t\t\tdataWindow.document.close();\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tdataWindow.document.title = title; // replace after document.write()\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tvar date = new Date();\n",
       "\t\t\n",
       "\t\tif ( date.getTime() - time > 10000 )\n",
       "\t\t{\n",
       "\t\t\tdataWindow.document.body.removeChild(dataWindow.document.getElementById('loading'));\n",
       "\t\t\tdocument.body.removeChild(document.getElementById('data'));\n",
       "\t\t\tdataWindow.document.body.innerHTML =\n",
       "\t\t\t\t'Timed out loading supplemental files for:<br/>' + document.location;\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tsetTimeout(function() {waitForData(dataWindow, target, title, time, postUrl, postVar);}, 100);\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function data(newData)\n",
       "{\n",
       "\tnodeData.push(newData);\n",
       "}\n",
       "\n",
       "function enableData()\n",
       "{\n",
       "\tdataEnabled = true;\n",
       "}\n",
       "\n",
       "function showData(indexData, indexAttribute, summary)\n",
       "{\n",
       "\tvar dataWindow = window.open('', '_blank');\n",
       "\tvar title = 'Krona - ' + attributes[indexAttribute].displayName + ' - ' + focusNode.name;\n",
       "\tdataWindow.document.title = title;\n",
       "\t\n",
       "\tnodeData = new Array();\n",
       "\t\n",
       "\tif ( dataWindow && dataWindow.document && dataWindow.document.body != null )\n",
       "\t{\n",
       "\t\t//var loadImage = document.createElement('img');\n",
       "\t\t//loadImage.src = \"file://localhost/Users/ondovb/Krona/KronaTools/img/loading.gif\";\n",
       "\t\t//loadImage.id = \"loading\";\n",
       "\t\t//loadImage.alt = \"Loading...\";\n",
       "\t\t//dataWindow.document.body.appendChild(loadImage);\n",
       "\t\tdataWindow.document.body.innerHTML =\n",
       "\t\t\t'<img id=\"loading\" src=\"' + loadingImage + '\" alt=\"Loading...\"></img>';\n",
       "\t}\n",
       "\t\n",
       "\tvar scripts = document.createElement('div');\n",
       "\tscripts.id = 'data';\n",
       "\tdocument.body.appendChild(scripts);\n",
       "\t\n",
       "\tvar files = focusNode.getData(indexData, summary);\n",
       "\t\n",
       "\tvar date = new Date();\n",
       "\tvar time = date.getTime();\n",
       "\t\n",
       "\tfor ( var i = 0; i < files.length; i++ )\n",
       "\t{\n",
       "\t\tvar script = document.createElement('script');\n",
       "\t\tscript.src = files[i] + '?' + time;\n",
       "\t\tscripts.appendChild(script);\n",
       "\t}\n",
       "\t\n",
       "\twaitForData(dataWindow, files.length, title, time, attributes[indexAttribute].postUrl, attributes[indexAttribute].postVar);\n",
       "\t\n",
       "\treturn false;\n",
       "}\n",
       "\n",
       "function showList(indexList, indexAttribute, summary)\n",
       "{\n",
       "\tvar list = focusNode.getList(indexList, summary);\n",
       "\t\n",
       "\tif ( attributes[indexAttribute].postUrl != undefined )\n",
       "\t{\n",
       "\t\tpost(attributes[indexAttribute].postUrl, attributes[indexAttribute].postVar, list.join(','));\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tvar dataWindow = window.open('', '_blank');\n",
       "\t\t\n",
       "\t\tif ( true || navigator.appName == 'Microsoft Internet Explorer' ) // :(\n",
       "\t\t{\n",
       "\t\t\tdataWindow.document.open();\n",
       "\t\t\tdataWindow.document.write('<pre>' + list.join('\\n') + '</pre>');\n",
       "\t\t\tdataWindow.document.close();\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tvar pre = document.createElement('pre');\n",
       "\t\t\tdataWindow.document.body.appendChild(pre);\n",
       "\t\t\tpre.innerHTML = list;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tdataWindow.document.title = 'Krona - ' + attributes[indexAttribute].displayName + ' - ' + focusNode.name;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function snapshot()\n",
       "{\n",
       "\tsvg = svgHeader();\n",
       "\t\n",
       "\tresetKeyOffset();\n",
       "\t\n",
       "\tsnapshotMode = true;\n",
       "\t\n",
       "\tselectedNode.draw(false, true);\n",
       "\tselectedNode.draw(true, true);\n",
       "\t\n",
       "\tif ( focusNode != 0 && focusNode != selectedNode )\n",
       "\t{\n",
       "\t\tcontext.globalAlpha = 1;\n",
       "\t\tfocusNode.drawHighlight(true);\n",
       "\t}\n",
       "\t\n",
       "\tif ( hueDisplayName && useHue() )\n",
       "\t{\n",
       "\t\tdrawLegendSVG();\n",
       "\t}\n",
       "\t\n",
       "\tsnapshotMode = false;\n",
       "\t\n",
       "\tsvg += svgFooter();\n",
       "\t\n",
       "\tsnapshotWindow = window.open\n",
       "\t(\n",
       "\t\t'data:image/svg+xml;charset=utf-8,' + encodeURIComponent(svg),\n",
       "\t\t'_blank'\n",
       "\t);\n",
       "/*\tvar data = window.open('data:text/plain;charset=utf-8,hello', '_blank');\n",
       "\tvar data = window.open('', '_blank');\n",
       "\tdata.document.open('text/plain');\n",
       "\tdata.document.write('hello');\n",
       "\tdata.document.close();\n",
       "\tvar button = document.createElement('input');\n",
       "\tbutton.type = 'button';\n",
       "\tbutton.value = 'save';\n",
       "\tbutton.onclick = save;\n",
       "\tdata.document.body.appendChild(button);\n",
       "//\tsnapshotWindow.document.write(svg);\n",
       "//\tsnapshotWindow.document.close();\n",
       "*/\t\n",
       "}\n",
       "\n",
       "function save()\n",
       "{\n",
       "\talert(document.body.innerHTML);\n",
       "}\n",
       "\n",
       "function spacer()\n",
       "{\n",
       "\tif ( snapshotMode )\n",
       "\t{\n",
       "\t\treturn '&#160;&#160;&#160;';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\treturn '   ';\n",
       "\t}\n",
       "}\n",
       "\n",
       "function suppressEvent(e)\n",
       "{\n",
       "\te.cancelBubble = true;\n",
       "\tif (e.stopPropagation) e.stopPropagation();\n",
       "}\n",
       "\n",
       "function svgFooter()\n",
       "{\n",
       "\treturn '</svg>';\n",
       "}\n",
       "\n",
       "function svgHeader()\n",
       "{\n",
       "\tvar patternWidth = fontSize * .6;//radius / 50;\n",
       "\t\n",
       "\treturn '\\\n",
       "<?xml version=\"1.0\" standalone=\"no\"?>\\\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \\\n",
       "\t\"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\\\n",
       "<svg width=\"' + imageWidth + '\" height=\"' + imageHeight + '\" version=\"1.1\"\\\n",
       "\txmlns=\"http://www.w3.org/2000/svg\">\\\n",
       "<title>Krona (snapshot) - ' +\n",
       "(datasets > 1 ? datasetNames[currentDataset] + ' - ' : '') + selectedNode.name +\n",
       "'</title>\\\n",
       "<defs>\\\n",
       "\t<style type=\"text/css\">\\\n",
       "\ttext {font-size: ' + fontSize + 'px; font-family: ' + fontFamily + '; dominant-baseline:central}\\\n",
       "\tpath {stroke-width:' + thinLineWidth * fontSize / 12 + ';}\\\n",
       "\tpath.wedge {stroke:none}\\\n",
       "\tpath.line {fill:none;stroke:black;}\\\n",
       "\tline {stroke:black;stroke-width:' + thinLineWidth * fontSize / 12 + ';}\\\n",
       "\tline.tick {stroke-width:' + thinLineWidth * fontSize / 6 + ';}\\\n",
       "\tline.pattern {stroke-width:' + thinLineWidth * fontSize / 18 + ';}\\\n",
       "\tcircle {fill:none;stroke:black;stroke-width:' + thinLineWidth * fontSize / 12 + ';}\\\n",
       "\trect {stroke:black;stroke-width:' + thinLineWidth * fontSize / 12 + ';}\\\n",
       "\t.highlight {stroke:black;stroke-width:'+ highlightLineWidth * fontSize / 12 + ';}\\\n",
       "\t.searchHighlight {fill:rgb(255, 255, 100);stroke:none;}\\\n",
       "\t</style>\\\n",
       "<pattern id=\"hiddenPattern\" patternUnits=\"userSpaceOnUse\" \\\n",
       "x=\"0\" y=\"0\" width=\"' + patternWidth + '\" height=\"' + patternWidth + '\">\\\n",
       "<line class=\"pattern\" x1=\"0\" y1=\"0\" x2=\"' + patternWidth / 2 + '\" y2=\"' + patternWidth / 2 + '\"/>\\\n",
       "<line class=\"pattern\" x1=\"' + patternWidth / 2 + '\" y1=\"' + patternWidth +\n",
       "'\" x2=\"' + patternWidth + '\" y2=\"' + patternWidth / 2 + '\"/>\\\n",
       "</pattern>\\\n",
       "</defs>\\\n",
       "';\n",
       "}\n",
       "\n",
       "function svgText(text, x, y, anchor, bold, color)\n",
       "{\n",
       "\tif ( typeof(anchor) == 'undefined' )\n",
       "\t{\n",
       "\t\tanchor = 'start';\n",
       "\t}\n",
       "\t\n",
       "\tif ( color == undefined )\n",
       "\t{\n",
       "\t\tcolor = 'black';\n",
       "\t}\n",
       "\t\n",
       "\treturn '<text x=\"' + x + '\" y=\"' + y +\n",
       "\t\t'\" style=\"font-color:' + color + ';font-weight:' + (bold ? 'bold' : 'normal') +\n",
       "\t\t'\" text-anchor=\"' + anchor + '\">' + text + '</text>';\n",
       "}\n",
       "\n",
       "function toggleKeys()\n",
       "{\n",
       "\tif ( showKeys )\n",
       "\t{\n",
       "\t\tkeyControl.value = '…';\n",
       "\t\tshowKeys = false;\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tkeyControl.value = 'x';\n",
       "\t\tshowKeys = true;\n",
       "\t}\n",
       "\t\n",
       "\tupdateKeyControl();\n",
       "\t\n",
       "\tif ( progress == 1 )\n",
       "\t{\n",
       "\t\tdraw();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function update()\n",
       "{\n",
       "\tif ( ! head )\n",
       "\t{\n",
       "\t\treturn;\n",
       "\t}\n",
       "\t\n",
       "\tif ( mouseDown && focusNode != selectedNode )\n",
       "\t{\n",
       "\t\tvar date = new Date();\n",
       "\t\t\n",
       "\t\tif ( date.getTime() - mouseDownTime > quickLookHoldLength )\n",
       "\t\t{\n",
       "\t\t\tif ( focusNode.hasChildren() )\n",
       "\t\t\t{\n",
       "\t\t\t\texpand(focusNode);\n",
       "\t\t\t\tquickLook = true;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tif ( updateViewNeeded )\n",
       "\t{\n",
       "\t\tresize();\n",
       "\t\tmouseX = -1;\n",
       "\t\tmouseY = -1;\n",
       "\t\t\n",
       "\t\tcollapse = collapseCheckBox.checked;\n",
       "\t\tcompress = true;//compressCheckBox.checked;\n",
       "\t\tshorten = true;//shortenCheckBox.checked;\n",
       "\t\t\n",
       "\t\tcheckSelectedCollapse();\n",
       "\t\tupdateMaxAbsoluteDepth();\n",
       "\t\t\n",
       "\t\tif ( focusNode.getCollapse() || focusNode.depth > maxAbsoluteDepth )\n",
       "\t\t{\n",
       "\t\t\tsetFocus(selectedNode);\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tsetFocus(focusNode);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tupdateView();\n",
       "\t\t\n",
       "\t\tupdateViewNeeded = false;\n",
       "\t}\n",
       "\t\n",
       "\tvar date = new Date();\n",
       "\tprogress = (date.getTime() - tweenStartTime) / tweenLength;\n",
       "//\tprogress += .01;\n",
       "\t\n",
       "\tif ( progress >= 1 )\n",
       "\t{\n",
       "\t\tprogress = 1;\n",
       "\t}\n",
       "\t\n",
       "\tif ( progress != progressLast )\n",
       "\t{\n",
       "\t\ttweenFactor =// progress;\n",
       "\t\t\t(1 / (1 + Math.exp(-tweenCurvature * (progress - .5))) - .5) /\n",
       "\t\t\t(tweenMax - .5) / 2 + .5;\n",
       "\t\t\n",
       "\t\tif ( progress == 1 )\n",
       "\t\t{\n",
       "\t\t\tsnapshotButton.disabled = false;\n",
       "\t\t\tzoomOut = false;\n",
       "\t\t\t\n",
       "\t\t\t//updateKeyControl();\n",
       "\t\t\t\n",
       "\t\t\tif ( ! quickLook )\n",
       "\t\t\t{\n",
       "\t\t\t\t//checkHighlight();\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\t\n",
       "\t\t\tif ( fpsDisplay )\n",
       "\t\t\t{\n",
       "\t\t\t\tfpsDisplay.innerHTML = 'fps: ' + Math.round(tweenFrames * 1000 / tweenLength);\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tdraw();\n",
       "\t}\n",
       "\t\n",
       "\tprogressLast = progress;\n",
       "}\n",
       "\n",
       "function updateDatasetButtons()\n",
       "{\n",
       "\tif ( datasets == 1 )\n",
       "\t{\n",
       "\t\treturn;\n",
       "\t}\n",
       "\t\n",
       "\tvar node = selectedNode ? selectedNode : head;\n",
       "\t\n",
       "\tdatasetButtonLast.disabled =\n",
       "\t\tnode.attributes[magnitudeIndex][lastDataset] == 0;\n",
       "\t\n",
       "\tdatasetButtonPrev.disabled = true;\n",
       "\tdatasetButtonNext.disabled = true;\n",
       "\t\n",
       "\tfor ( var i = 0; i < datasets; i++ )\n",
       "\t{\n",
       "\t\tvar disable = node.attributes[magnitudeIndex][i] == 0;\n",
       "\t\t\n",
       "\t\tdatasetDropDown.options[i].disabled = disable;\n",
       "\t\t\n",
       "\t\tif ( ! disable )\n",
       "\t\t{\n",
       "\t\t\tif ( i != currentDataset )\n",
       "\t\t\t{\n",
       "\t\t\t\tdatasetButtonPrev.disabled = false;\n",
       "\t\t\t\tdatasetButtonNext.disabled = false;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function updateDatasetWidths()\n",
       "{\n",
       "\tif ( datasets > 1 )\n",
       "\t{\n",
       "\t\tfor ( var i = 0; i < datasets; i++ )\n",
       "\t\t{\n",
       "\t\t\tcontext.font = fontBold;\n",
       "\t\t\tvar dim = context.measureText(datasetNames[i]);\n",
       "\t\t\tdatasetWidths[i] = dim.width;\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function updateKeyControl()\n",
       "{\n",
       "\tif ( keys == 0 )//|| progress != 1 )\n",
       "\t{\n",
       "\t\tkeyControl.style.visibility = 'hidden';\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tkeyControl.style.visibility = 'visible';\n",
       "\t\tkeyControl.style.right = margin + 'px';\n",
       "\t\t\n",
       "\t\tif ( showKeys )\n",
       "\t\t{\n",
       "\t\t\tkeyControl.style.top =\n",
       "\t\t\t\timageHeight -\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tkeys * (keySize + keyBuffer) -\n",
       "\t\t\t\t\tkeyBuffer +\n",
       "\t\t\t\t\tmargin +\n",
       "\t\t\t\t\tkeyControl.clientHeight * 1.5\n",
       "\t\t\t\t) + 'px';\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tkeyControl.style.top =\n",
       "\t\t\t\t(imageHeight - margin - keyControl.clientHeight) + 'px';\n",
       "\t\t}\n",
       "\t}\n",
       "}\n",
       "\n",
       "function updateView()\n",
       "{\n",
       "\tif ( selectedNode.depth > maxAbsoluteDepth - 1 )\n",
       "\t{\n",
       "\t\tmaxAbsoluteDepth = selectedNode.depth + 1;\n",
       "\t}\n",
       "\t\n",
       "\thighlightedNode = selectedNode;\n",
       "\t\n",
       "\tangleFactor = 2 * Math.PI / (selectedNode.magnitude);\n",
       "\t\n",
       "\tmaxPossibleDepth = Math.floor(gRadius / (fontSize * minRingWidthFactor));\n",
       "\t\n",
       "\tif ( maxPossibleDepth < 4 )\n",
       "\t{\n",
       "\t\tmaxPossibleDepth = 4;\n",
       "\t}\n",
       "\t\n",
       "\tvar minRadiusInner = fontSize * 8 / gRadius;\n",
       "\tvar minRadiusFirst = fontSize * 6 / gRadius;\n",
       "\tvar minRadiusOuter = fontSize * 5 / gRadius;\n",
       "\t\n",
       "\tif ( .25 < minRadiusInner )\n",
       "\t{\n",
       "\t\tminRadiusInner = .25;\n",
       "\t}\n",
       "\t\n",
       "\tif ( .15 < minRadiusFirst )\n",
       "\t{\n",
       "\t\tminRadiusFirst = .15;\n",
       "\t}\n",
       "\t\n",
       "\tif ( .15 < minRadiusOuter )\n",
       "\t{\n",
       "\t\tminRadiusOuter = .15;\n",
       "\t}\n",
       "\t\n",
       "\t// visibility of nodes depends on the depth they are displayed at,\n",
       "\t// so we need to set the max depth assuming they can all be displayed\n",
       "\t// and iterate it down based on the deepest child node we can display\n",
       "\t//\n",
       "\tvar maxDepth;\n",
       "\tvar newMaxDepth = selectedNode.getMaxDepth() - selectedNode.getDepth() + 1;\n",
       "\t//\n",
       "\tdo\n",
       "\t{\n",
       "\t\tmaxDepth = newMaxDepth;\n",
       "\t\t\n",
       "\t\tif ( ! compress && maxDepth > maxPossibleDepth )\n",
       "\t\t{\n",
       "\t\t\tmaxDepth = maxPossibleDepth;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tif ( compress )\n",
       "\t\t{\n",
       "\t\t\tcompressedRadii = new Array(maxDepth);\n",
       "\t\t\t\n",
       "\t\t\tcompressedRadii[0] = minRadiusInner;\n",
       "\t\t\t\n",
       "\t\t\tvar offset = 0;\n",
       "\t\t\t\n",
       "\t\t\twhile\n",
       "\t\t\t(\n",
       "\t\t\t\tlerp\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tMath.atan(offset + 2),\n",
       "\t\t\t\t\tMath.atan(offset + 1),\n",
       "\t\t\t\t\tMath.atan(maxDepth + offset - 1),\n",
       "\t\t\t\t\tminRadiusInner,\n",
       "\t\t\t\t\t1 - minRadiusOuter\n",
       "\t\t\t\t) - minRadiusInner > minRadiusFirst &&\n",
       "\t\t\t\toffset < 10\n",
       "\t\t\t)\n",
       "\t\t\t{\n",
       "\t\t\t\toffset++;\n",
       "\t\t\t}\n",
       "\t\t\t\n",
       "\t\t\toffset--;\n",
       "\t\t\t\n",
       "\t\t\tfor ( var i = 1; i < maxDepth; i++ )\n",
       "\t\t\t{\n",
       "\t\t\t\tcompressedRadii[i] = lerp\n",
       "\t\t\t\t(\n",
       "\t\t\t\t\tMath.atan(i + offset),\n",
       "\t\t\t\t\tMath.atan(offset),\n",
       "\t\t\t\t\tMath.atan(maxDepth + offset - 1),\n",
       "\t\t\t\t\tminRadiusInner,\n",
       "\t\t\t\t\t1 - minRadiusOuter\n",
       "\t\t\t\t)\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tnodeRadius = 1 / maxDepth;\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tnewMaxDepth = selectedNode.maxVisibleDepth(maxDepth);\n",
       "\t\t\n",
       "\t\tif ( compress )\n",
       "\t\t{\n",
       "\t\t\tif ( newMaxDepth <= maxPossibleDepth )\n",
       "\t\t\t{\n",
       "//\t\t\t\tcompress\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tif ( newMaxDepth > maxPossibleDepth )\n",
       "\t\t\t{\n",
       "\t\t\t\tnewMaxDepth = maxPossibleDepth;\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t}\n",
       "\twhile ( newMaxDepth < maxDepth );\n",
       "\t\n",
       "\tmaxDisplayDepth = maxDepth;\n",
       "\t\n",
       "\tlightnessFactor = (lightnessMax - lightnessBase) / (maxDepth > 8 ? 8 : maxDepth);\n",
       "\tkeys = 0;\n",
       "\t\n",
       "\tnLabelOffsets = new Array(maxDisplayDepth - 1);\n",
       "\tlabelOffsets = new Array(maxDisplayDepth - 1);\n",
       "\tlabelLastNodes = new Array(maxDisplayDepth - 1);\n",
       "\tlabelFirstNodes = new Array(maxDisplayDepth - 1);\n",
       "\t\n",
       "\tfor ( var i = 0; i < maxDisplayDepth - 1; i++ )\n",
       "\t{\n",
       "\t\tif ( compress )\n",
       "\t\t{\n",
       "\t\t\tif ( i == maxDisplayDepth - 1 )\n",
       "\t\t\t{\n",
       "\t\t\t\tnLabelOffsets[i] = 0;\n",
       "\t\t\t}\n",
       "\t\t\telse\n",
       "\t\t\t{\n",
       "\t\t\t\tvar width =\n",
       "\t\t\t\t\t(compressedRadii[i + 1] - compressedRadii[i]) *\n",
       "\t\t\t\t\tgRadius;\n",
       "\t\t\t\t\n",
       "\t\t\t\tnLabelOffsets[i] = Math.floor(width / fontSize / 1.2);\n",
       "\t\t\t\t\n",
       "\t\t\t\tif ( nLabelOffsets[i] > 2 )\n",
       "\t\t\t\t{\n",
       "\t\t\t\t\tnLabelOffsets[i] = min\n",
       "\t\t\t\t\t(\n",
       "\t\t\t\t\t\tMath.floor(width / fontSize / 1.75),\n",
       "\t\t\t\t\t\t5\n",
       "\t\t\t\t\t);\n",
       "\t\t\t\t}\n",
       "\t\t\t}\n",
       "\t\t}\n",
       "\t\telse\n",
       "\t\t{\n",
       "\t\t\tnLabelOffsets[i] = Math.max\n",
       "\t\t\t(\n",
       "\t\t\t\tMath.floor(Math.sqrt((nodeRadius * gRadius / fontSize)) * 1.5),\n",
       "\t\t\t\t3\n",
       "\t\t\t);\n",
       "\t\t}\n",
       "\t\t\n",
       "\t\tlabelOffsets[i] = Math.floor((nLabelOffsets[i] - 1) / 2);\n",
       "\t\tlabelLastNodes[i] = new Array(nLabelOffsets[i] + 1);\n",
       "\t\tlabelFirstNodes[i] = new Array(nLabelOffsets[i] + 1);\n",
       "\t\t\n",
       "\t\tfor ( var j = 0; j <= nLabelOffsets[i]; j++ )\n",
       "\t\t{\n",
       "\t\t\t// these arrays will allow nodes with neighboring labels to link to\n",
       "\t\t\t// each other to determine max label length\n",
       "\t\t\t\n",
       "\t\t\tlabelLastNodes[i][j] = 0;\n",
       "\t\t\tlabelFirstNodes[i][j] = 0;\n",
       "\t\t}\n",
       "\t}\n",
       "\t\n",
       "\tfontSizeText.innerHTML = fontSize;\n",
       "\tfontNormal = fontSize + 'px ' + fontFamily;\n",
       "\tcontext.font = fontNormal;\n",
       "\tfontBold = 'bold ' + fontSize + 'px ' + fontFamily;\n",
       "\ttickLength = fontSize * .7;\n",
       "\t\n",
       "\thead.setTargets(0);\n",
       "\t\n",
       "\tkeySize = ((imageHeight - margin * 3) * 1 / 2) / keys * 3 / 4;\n",
       "\t\n",
       "\tif ( keySize > fontSize * maxKeySizeFactor )\n",
       "\t{\n",
       "\t\tkeySize = fontSize * maxKeySizeFactor;\n",
       "\t}\n",
       "\t\n",
       "\tkeyBuffer = keySize / 3;\n",
       "\t\n",
       "\tfontSizeLast = fontSize;\n",
       "\t\n",
       "\tif ( datasetChanged )\n",
       "\t{\n",
       "\t\tdatasetChanged = false;\n",
       "\t}\n",
       "\telse\n",
       "\t{\n",
       "\t\tdatasetAlpha.start = 0;\n",
       "\t}\n",
       "\t\n",
       "\tvar date = new Date();\n",
       "\ttweenStartTime = date.getTime();\n",
       "\tprogress = 0;\n",
       "\ttweenFrames = 0;\n",
       "\t\n",
       "\tupdateKeyControl();\n",
       "\tupdateDatasetWidths();\n",
       "\t\n",
       "\tdocument.title = 'Krona - ' + selectedNode.name;\n",
       "\tupdateNavigationButtons();\n",
       "\tsnapshotButton.disabled = true;\n",
       "\t\n",
       "\tmaxAbsoluteDepthText.innerHTML = maxAbsoluteDepth - 1;\n",
       "\t\n",
       "\tmaxAbsoluteDepthButtonDecrease.disabled = (maxAbsoluteDepth == 2);\n",
       "\tmaxAbsoluteDepthButtonIncrease.disabled = (maxAbsoluteDepth == head.maxDepth);\n",
       "\t\n",
       "\tif ( collapse != collapseLast && search.value != '' )\n",
       "\t{\n",
       "\t\tonSearchChange();\n",
       "\t\tcollapseLast = collapse;\n",
       "\t}\n",
       "}\n",
       "\n",
       "function updateMaxAbsoluteDepth()\n",
       "{\n",
       "\twhile ( maxAbsoluteDepth > 1 && selectedNode.depth > maxAbsoluteDepth - 1 )\n",
       "\t{\n",
       "\t\tselectedNode = selectedNode.getParent();\n",
       "\t}\n",
       "}\n",
       "\n",
       "function updateNavigationButtons()\n",
       "{\n",
       "\tbackButton.disabled = (nodeHistoryPosition == 0);\n",
       "//\tupButton.disabled = (selectedNode.getParent() == 0);\n",
       "\tforwardButton.disabled = (nodeHistoryPosition == nodeHistory.length);\n",
       "}\n",
       "\n",
       "function useHue()\n",
       "{\n",
       "\treturn useHueCheckBox && useHueCheckBox.checked;\n",
       "}\n",
       "/*\n",
       "function zoomOut()\n",
       "{\n",
       "\treturn (\n",
       "\t\tselectedNodeLast != 0 &&\n",
       "\t\tselectedNodeLast.getDepth() < selectedNode.getDepth());\n",
       "}\n",
       "*/\n",
       "  </script>\n",
       " </head>\n",
       " <body>\n",
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       "    <dataset>ERR1600430.CARD_gene.out</dataset>\n",
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       "  <count><val>21364</val></count>\n",
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       "  <node name=\"Proteobacteria\">\n",
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       "         <count><val>220</val></count>\n",
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       "          <count><val>1728</val></count>\n",
       "          <taxon><val href=\"509173\">509173</val></taxon>\n",
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       "          <score><val>1.86734</val></score>\n",
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       "          <rank><val>no rank</val></rank>\n",
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       "        <count><val>1079</val></count>\n",
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       "         <count><val>1079</val></count>\n",
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       "          <count><val>1079</val></count>\n",
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       "          <score><val>1.84409</val></score>\n",
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       "       <count><val>1539</val></count>\n",
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       "        <taxon><val href=\"354276\">354276</val></taxon>\n",
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       "         <count><val>1398</val></count>\n",
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       "        <taxon><val href=\"1344959\">1344959</val></taxon>\n",
       "        <count><val>39</val></count>\n",
       "        <node name=\"Citrobacter freundii\">\n",
       "         <score><val>2.00376</val></score>\n",
       "         <count><val>39</val></count>\n",
       "         <members><val>node43.members.0.js</val>\n",
       "         </members>\n",
       "         <rank><val>species</val></rank>\n",
       "         <taxon><val href=\"546\">546</val></taxon>\n",
       "        </node>\n",
       "       </node>\n",
       "      </node>\n",
       "     </node>\n",
       "     <node name=\"Morganellaceae\">\n",
       "      <count><val>2</val></count>\n",
       "      <rank><val>family</val></rank>\n",
       "      <taxon><val href=\"1903414\">1903414</val></taxon>\n",
       "      <score><val>1.99604</val></score>\n",
       "      <node name=\"Proteus\">\n",
       "       <rank><val>genus</val></rank>\n",
       "       <taxon><val href=\"583\">583</val></taxon>\n",
       "       <count><val>2</val></count>\n",
       "       <score><val>1.99604</val></score>\n",
       "       <node name=\"Proteus mirabilis\">\n",
       "        <taxon><val href=\"584\">584</val></taxon>\n",
       "        <rank><val>species</val></rank>\n",
       "        <members><val>node46.members.0.js</val>\n",
       "        </members>\n",
       "        <count><val>2</val></count>\n",
       "        <score><val>1.99604</val></score>\n",
       "       </node>\n",
       "      </node>\n",
       "     </node>\n",
       "    </node>\n",
       "   </node>\n",
       "  </node>\n",
       "  <node name=\"Terrabacteria group\">\n",
       "   <taxon><val href=\"1783272\">1783272</val></taxon>\n",
       "   <rank><val>no rank</val></rank>\n",
       "   <count><val>1119</val></count>\n",
       "   <score><val>1.87091</val></score>\n",
       "   <node name=\"Firmicutes\">\n",
       "    <count><val>1119</val></count>\n",
       "    <rank><val>phylum</val></rank>\n",
       "    <taxon><val href=\"1239\">1239</val></taxon>\n",
       "    <score><val>1.87091</val></score>\n",
       "    <node name=\"Bacilli\">\n",
       "     <score><val>1.87091</val></score>\n",
       "     <count><val>1119</val></count>\n",
       "     <rank><val>class</val></rank>\n",
       "     <taxon><val href=\"91061\">91061</val></taxon>\n",
       "     <node name=\"Bacillales\">\n",
       "      <score><val>1.87091</val></score>\n",
       "      <rank><val>order</val></rank>\n",
       "      <taxon><val href=\"1385\">1385</val></taxon>\n",
       "      <count><val>1119</val></count>\n",
       "      <node name=\"Staphylococcaceae\">\n",
       "       <count><val>1119</val></count>\n",
       "       <rank><val>family</val></rank>\n",
       "       <taxon><val href=\"90964\">90964</val></taxon>\n",
       "       <score><val>1.87091</val></score>\n",
       "       <node name=\"Staphylococcus\">\n",
       "        <score><val>1.87091</val></score>\n",
       "        <taxon><val href=\"1279\">1279</val></taxon>\n",
       "        <rank><val>genus</val></rank>\n",
       "        <count><val>1119</val></count>\n",
       "        <node name=\"Staphylococcus aureus\">\n",
       "         <unassigned><val>105</val></unassigned>\n",
       "         <taxon><val href=\"1280\">1280</val></taxon>\n",
       "         <rank><val>species</val></rank>\n",
       "         <members><val>node53.members.0.js</val>\n",
       "         </members>\n",
       "         <count><val>657</val></count>\n",
       "         <score><val>1.88914</val></score>\n",
       "         <node name=\"Staphylococcus aureus subsp. aureus\">\n",
       "          <count><val>552</val></count>\n",
       "          <rank><val>subspecies</val></rank>\n",
       "          <taxon><val href=\"46170\">46170</val></taxon>\n",
       "          <score><val>1.876</val></score>\n",
       "          <node name=\"Staphylococcus aureus subsp. aureus ED98\">\n",
       "           <rank><val>no rank</val></rank>\n",
       "           <taxon><val href=\"681288\">681288</val></taxon>\n",
       "           <count><val>552</val></count>\n",
       "           <members><val>node55.members.0.js</val>\n",
       "           </members>\n",
       "           <score><val>1.876</val></score>\n",
       "          </node>\n",
       "         </node>\n",
       "        </node>\n",
       "        <node name=\"Staphylococcus chromogenes\">\n",
       "         <score><val>1.845</val></score>\n",
       "         <taxon><val href=\"46126\">46126</val></taxon>\n",
       "         <rank><val>species</val></rank>\n",
       "         <members><val>node56.members.0.js</val>\n",
       "         </members>\n",
       "         <count><val>462</val></count>\n",
       "        </node>\n",
       "       </node>\n",
       "      </node>\n",
       "     </node>\n",
       "    </node>\n",
       "   </node>\n",
       "  </node>\n",
       " </node>\n",
       "</node>\n",
       "  </krona>\n",
       "</div></body></html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#from IPython.core.display import HTML\n",
    "from IPython.core.display import HTML\n",
    "HTML(filename=\"ERR1600430.blast.krona.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = \"\"\"<table>\n",
    "<tr>\n",
    "<th>Header 1</th>\n",
    "<th>Header 2</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 1, cell 1</td>\n",
    "<td>row 1, cell 2</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 2, cell 1</td>\n",
    "<td>row 2, cell 2</td>\n",
    "</tr>\n",
    "</table>\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<th>Header 1</th>\n",
       "<th>Header 2</th>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>row 1, cell 1</td>\n",
       "<td>row 1, cell 2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td>row 2, cell 1</td>\n",
       "<td>row 2, cell 2</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h = HTML(s); h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "File b'ERR1600426.CARD_gene.out.tab_prev' does not exist",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-29-baa6db4c5365>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmapped_aro_prevalence\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ERR1600426.CARD_gene.out.tab_prev\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"\\t\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)\u001b[0m\n\u001b[1;32m    676\u001b[0m                     skip_blank_lines=skip_blank_lines)\n\u001b[1;32m    677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 678\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    679\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    680\u001b[0m     \u001b[0mparser_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    438\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    439\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 440\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    441\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    442\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    785\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    786\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 787\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    788\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    789\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, engine)\u001b[0m\n\u001b[1;32m   1012\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'c'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1013\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'c'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1014\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1015\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1016\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'python'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m   1706\u001b[0m         \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'usecols'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0musecols\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1707\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1708\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1709\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1710\u001b[0m         \u001b[0mpassed_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnames\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._setup_parser_source\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: File b'ERR1600426.CARD_gene.out.tab_prev' does not exist"
     ]
    }
   ],
   "source": [
    "mapped_aro_prevalence = pd.read_csv(\"ERR1600426.CARD_gene.out.tab_prev\",sep=\"\\t\",header=0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'% sequence identities with most number of hits - Top 2-20')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('default')\n",
    "iden_counts_max_ident = mapped_aro_prevalence['% identity'].value_counts().to_frame('counts')\n",
    "iden_counts_max_ident_sorted = iden_counts_max_ident.sort_index(ascending=False)\n",
    "iden_counts_max_ident_sorted_top20 = iden_counts_max_ident_sorted.iloc[:20]\n",
    "iden_counts_max_ident_sorted_top20_plot = iden_counts_max_ident_sorted_top20.plot(kind='bar', width=0.3,legend=False, figsize=(9,5), fontsize=8)\n",
    "iden_counts_max_ident_sorted_top20_plot.set_xlabel(\"% sequence identity\",size=10)\n",
    "iden_counts_max_ident_sorted_top20_plot.set_ylabel(\"Number of hits\",size=10)\n",
    "iden_counts_max_ident_sorted_top20_plot.set_title(\"% sequence identities with most number of hits - Top 2-20\",size=10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Genes in organisms with most number of hits - Top 20')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LL79cAwcO1KZNm7R582Z17drVbkVZroOKHvNbf/++rF9flJXDGOO9HxQUVOq+dPzg5Yrm43K5yh1m8xwPHjyoCRMmqH///qeNq1Onjvfnyrzmf4vf+rsLDQ3V6tWr9fnnn2vhwoV65JFHNH78eGVmZpZ5Jqe1a9d6f/Z4PJUP7keFhYXq37+/9uzZo8WLF5cqyE2bNj3tbE2//vqrDhw4UKNPxoBzG1sigBogIiJCPXv21IsvvqhDhw5VOG1qaqp27typ4OBgxcfHl7o1atTIp+W1bdtWbrdbOTk5p80jOjraO13jxo01ZMgQzZgxQ1OnTtWrr776m55nRVq2bKnatWvryy+/9A47duyYMjMz1bZt2wofe+GFFyozM7PUsFPvf/nllxo5cqSuueYaXXTRRXK73fr5559/c+7o6Gjdfffd+uCDD/TAAw/otdde+03zc7lcSktL04QJE7RmzRrVrl1bH374YbnTd+3aVUuWLNGyZcvUrVs3hYeHq02bNvrrX/+qqKgoJSQklPvYkJAQFRcX/6a8ldWmTRsVFRVp5cqV3mF79+5VVlZWqd93eeu3du3aklQl+Rs3bqy8vDzv/eLiYq1fv/43z1eSioqK9PXXX3vvZ2Vl6ZdfflGbNm0kHX8/Z2VlnfY+jI+PV1CQ73/CfV2f/lC7du0yfw/BwcHq0aOHJk+erHXr1ik7O1ufffZZmfM4+XlHRkZWKkdkZKQiIiJKfYZI0ooVK05bB1999ZX356NHj2rNmjXe30lZCgsLdcMNN+inn37SokWLTitCnTt31q5du7RhwwbvsEWLFqlWrVqltkQBNQlbIoAa4uWXX1ZaWpo6dOig8ePHKzk5WUFBQcrMzNQPP/ygiy++WJLUo0cPde7cWf369dPkyZOVkJCgHTt2aN68ebrhhhvOuNuDdPy/hA8++KD++Mc/qqSkRJdeeqny8/P15ZdfyuPxaMiQIXrkkUd08cUXe3el+uijjyr8I/tb1a9fX/fcc4/GjBmj8PBwxcTEaPLkyTp8+LCGDh1a4WNHjBihu+66Sx06dFCXLl307rvvat26daV2G2rVqpXeeustdejQQQUFBRozZkypLTyVMWrUKF199dVKSEjQ/v37tWTJkt+0jlauXKnFixfrqquuUmRkpFauXKk9e/ZUOM9u3brphRdeUOPGjdW6dWvvsBdffFE33XRThcuLi4vT4sWLlZaWJrfbrfPOO6/S2W21atVKffv21V133aVXXnlFoaGhevjhh9W8eXP17dtXUsXrNzY2Vi6XSx999JGuueYa1a1bt9R/hm1ceeWVGj16tObNm6eWLVtqypQpVXb9iZCQEI0YMULPP/+8goODdd9996lTp07e3e0eeeQR9enTRzExMbrxxhsVFBSkb7/9VuvXr9fjjz/u83J8WZ/+EhcXp4MHD2rx4sVq166d6tWrp88++0w//vijLr/8cp133nmaP3++SkpKdOGFF/o1y4MPPqjHH39csbGxSkxM1CuvvKKsrCzNmTOn1HRTp05VXFycWrVqpcmTJ6uwsFCDBw8uc55Hjx5V3759lZWVpY8++khHjx7Vzp07JR3/B1BISIjat2+vbt266Y477tBLL72kw4cPa9SoURo8eLDP/9wBnIYtEUAN0bJlS61Zs0Y9evTQuHHj1K5dO3Xo0EEvvPCCHnzwQe+FoVwul+bPn6/LL79ct99+uxISEvQ///M/2r59u3efbF889thj+stf/qJJkyapTZs26t27t+bNm+fdbaZ27doaN26ckpOTdfnll6tWrVp65513/PLcT3jyySc1YMAADRo0SKmpqdqyZYsWLFhwxi+3t956q8aNG6cHH3xQqamp2rZtm9LT00vtDvL6669r//79Sk1N1aBBgzRy5MhK/8fzhOLiYt17773e9ZeQkKCXX3650vPzeDxatmyZrrnmGiUkJOjPf/6znnnmGV199dXlPuayyy5TSUlJqd2WunXrpuLi4jMeD/HMM89o0aJFio6OVvv27Sudu7IyMjJ08cUXq0+fPurcubOMMZo/f753V5qK1m/z5s01YcIEPfzww2rSpInuu+++Sue44447NGTIEA0ePFhdu3bVBRdcoCuuuKJKnmO9evU0duxY3XLLLUpLS1ODBg307rvvesf36tVLH330kRYuXKiOHTuqU6dOevbZZxUbG2u9rDOtT3/p0qWL7r77bg0cOFCNGzfW5MmT1bBhQ33wwQe68sor1aZNG02bNk1vv/22LrroIr9mGTNmjP7whz9oxIgRSk5O1tKlSzVv3rzT1ueTTz6piRMnKiUlRd98843mzp1b7gXzfvzxRy1YsEDZ2dlKTExUVFSU9/bNN994p5s5c6ZiY2PVrVs39e3b17t1GaipXObUHT0B4BzQs2dPNW3aVG+99VagowBwiB9++EFt2rTRxo0bvVvuAJSN3ZkAnPUOHz6sadOmqVevXqpVq5befvttffrpp1q0aFGgowEAUCNRIgCc9U7s4vXXv/5VR44c0YUXXqhZs2apR48egY4GAECNxO5MAAAAAKxwYDUAAAAAK5QIAAAAAFY4JsIHJSUl2rFjh0JDQ71XHAUAAABqOmOMDhw4oGbNmlldxJIS4YMdO3aUukovAAAAcDbJzc1VixYtfJ6eEuGD0NBQScdXrsfjCXAaAAAAoGoUFBQoOjra+33XV5QIH5zYhcnj8VAiAAAAcNax3WWfA6sBAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsBAc6wFnF5fJ9WmP8lwMAAADwI7ZEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWAloiSgsLNR9992nVq1aKSkpSbfddpskafPmzerSpYsSEhLUsWNHbdiwwfsYf4wDAAAA4LuAloiHH35YLpdLmzZt0nfffaenn35akjR8+HANGzZMmzZt0tixY5Wenu59jD/GAQAAAPCdyxhjArHgQ4cOKSoqSv/973/l8Xi8w3fv3q34+Hjt27dPwcHBMsYoKipKy5cvl8fjqfJx8fHxp2UrLCxUYWGh935BQYGio6OVn59fKutpXC7fV0BgVjsAAADgVVBQoLCwsDN/zz1FwLZEbN26VeHh4XriiSfUoUMHXXbZZVq8eLFyc3MVFRWl4OBgSZLL5VJMTIxycnL8Mq4skyZNUlhYmPcWHR1dDWsEAAAAqBkCViKKioq0fft2tW3bVl9//bWef/55DRw4UEVFRYGK5DVu3Djl5+d7b7m5uYGOBAAAADhGcKAWHBMTo6CgIN16662SpPbt2+v888/X9u3blZeXp6KiIu+uRzk5OYqJiZHH46nycWVxu91yu93VuToAAACAGiNgWyIaNWqk7t27a8GCBZKkbdu2adu2bUpLS1NqaqpmzJghSZo1a5ZatGih+Ph4RUZGVvk4AAAAAHYCdmC1JP34448aOnSofv75ZwUFBemRRx7RgAEDlJWVpfT0dO3du1cej0cZGRlKSkqSJL+MOxOfDzjhwGoAAADUIJU9sDqgJaKmoEQAAADgbFTjzs4EAAAAoGaiRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMBKcKADwE9cLt+nNcZ/OQAAAHDWYUsEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFgJaImIi4vThRdeqJSUFKWkpOjdd9+VJG3evFldunRRQkKCOnbsqA0bNngf449xAAAAAHwX8C0R7777rtauXau1a9dq4MCBkqThw4dr2LBh2rRpk8aOHav09HTv9P4YBwAAAMB3LmMCd37PuLg4zZ49WykpKd5hu3fvVnx8vPbt26fg4GAZYxQVFaXly5fL4/FU+bj4+PjTchUWFqqwsNB7v6CgQNHR0crPz5fH4yn/CTnptKpOygIAAABHKigoUFhY2Jm/554i4FsiBg8erKSkJA0dOlR79uxRbm6uoqKiFBx8/BIWLpdLMTExysnJ8cu4skyaNElhYWHeW3R0dDWsCQAAAKBmCGiJWLZsmdatW6fVq1erUaNGGjJkSCDjeI0bN075+fneW25ubqAjAQAAAI4R0CtWx8TESJJCQkI0atQoJSQkKDo6Wnl5eSoqKvLuepSTk6OYmBh5PJ4qH1cWt9stt9tdnasCAAAAqDECtiXi0KFD+uWXX7z33377bbVv316RkZFKTU3VjBkzJEmzZs1SixYtFB8f75dxAAAAAOwE7MDqH3/8UQMGDFBxcbGMMbrgggv03HPPKS4uTllZWUpPT9fevXvl8XiUkZGhpKQkSfLLuDPx+YATJx3M7KQsAAAAcKTKHlgd0LMz1RSUCAAAAJyNauzZmQAAAADULJQIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWAkOdACcI1wu36Yzxr85AAAA8JuxJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWrEtEbm6u/vvf/3rvr1q1SqNGjdKrr75apcEAAAAAOJN1ibjlllu0ZMkSSdLOnTvVs2dPrVq1Sn/60580ceLEKg8IAAAAwFmsS8T69et1ySWXSJJmzpypxMRErVixQv/85z81ffr0qs4HAAAAwGGsS8SxY8fkdrslSZ9++qmuv/56SVLr1q2Vl5dXtekAAAAAOI51ibjooos0bdo0ffHFF1q0aJF69+4tSdqxY4ciIiKqPCAAAAAAZ7EuEU899ZReeeUVdevWTTfffLPatWsnSZozZ453NycAAAAAZy+XMcbYPqi4uFgFBQU677zzvMOys7NVv359NW7cuEoDOkFBQYHCwsKUn58vj8dT/oQul+8ztV/tdpyURfI9T3VkAQAAgCSL77mnsN4SceWVV+rAgQOlCoQkhYeHa+DAgbazAwAAAFDDWJeIzz//XEePHj1t+JEjR/TFF19USSgAAAAAzuVziVi3bp3WrVsnSfr++++999etW6c1a9bo9ddfV/PmzSsVIiMjQy6XS7Nnz5Yk7d69W71791arVq2UmJioZcuWeaf1xzgAAAAAvgv2dcKUlBS5XC65XC5deeWVp42vW7euXnjhBesA2dnZeu2119SpUyfvsIcfflidOnXSJ598oszMTN1www3atm2bQkJC/DIOAAAAgO98LhHbtm2TMUYXXHCBVq1aVeoA6tq1aysyMlK1atWyWnhJSYnuvPNOvfDCC3rggQe8w2fOnKktW7ZIkjp27KhmzZpp6dKl6tGjh1/GnaqwsFCFhYXe+wUFBVbPCwAAADib+VwiYmNjJR2i957lAAAgAElEQVT/4l9VpkyZorS0NF188cXeYXv37tWxY8fUtGlT77C4uDjl5OT4ZVxZJk2apAkTJlTZ8wQAAADOJj6ViDlz5ujqq69WSEiI5syZU+G0J65gfSbr16/XrFmzHHlswrhx4zR69Gjv/YKCAkVHRwcwEQAAAOAcPpWIfv36aefOnYqMjFS/fv3Knc7lcqm4uNinBX/xxRfKzs5Wq1atJEk7d+7UsGHDNGHCBAUHB2vnzp3eLQfZ2dmKiYlRRERElY8ri9vtltvt9ul5AAAAAOcan87OVFJSosjISO/P5d18LRCSdM899ygvL0/Z2dnKzs5Wp06d9Oqrr+qee+7RTTfdpGnTpkmSMjMz9dNPP6lr166S5JdxAAAAAHzn8zER1empp57SoEGD1KpVK9WuXVszZszwnkXJH+MAAAAA+M5ljDG2D1q8eLEWL16s3bt3n3ag9RtvvFFl4ZzC58uBu1y+z9R+tdtxUhbJ9zzVkQUAAACSLL7nnsJ6S8SECRM0ceJEdejQQVFRUXLZfFkFAAAAUONZl4hp06Zp+vTpGjRokD/yAAAAAHA4nw6sPtnRo0fVpUsXf2QBAAAAUANYl4g777xT//rXv/yRBQAAAEAN4NPuTCdfeK2kpESvvvqqPv30UyUnJ592hqMpU6ZUbUIAAAAAjuJTiVizZk2p+ykpKZKOX3X6ZBxkDQAAAJz9fCoRS5Ys8XcOAAAAADWE9TERAAAAAM5tlAgAAAAAVigRAAAAAKxQIgAAAABY8alEpKamav/+/ZKkiRMn6vDhw34NBQAAAMC5fCoRGzdu1KFDhyRJEyZM0MGDB/0aCgAAAIBz+XSK15SUFN1+++269NJLZYzR008/rQYNGpQ57SOPPFKlAQEAAAA4i8sYY840UVZWlh599FFt3bpVq1evVtu2bRUcfHr/cLlcWr16tV+CBlJBQYHCwsKUn58vj8dT/oQ2F9s782r/bZyURfI9T3VkAQAAgCSL77mn8KlEnCwoKEg7d+5UZGSkdciaihJRBSgRAAAAjlPZEuHT7kwnKykpsX0IAAAAgLOIdYmQpK1bt2rq1KnauHGjJKlt27a6//771bJlyyoNBwAAAMB5rK8TsWDBArVt21arVq1ScnKykpOTtXLlSl100UVatGiRPzICAAAAcBDrYyLat2+vXr166cknnyw1/OGHH9bChQs5sNpXHBNRNo6JAAAAqDaVPSbCekvExo0bNXTo0NOG33HHHfr+++9tZwcAAACghrEuEY0bN9batWtPG7527dpz6oxNAAAAwLnK+sDqu+66S8OGDdOPP/6oLl26SJK+/PJLPfXUUxo9enSVBwQAAADgLNbHRBhjNHXqVD3zzDPasWOHJKlZs2YaM2aMRo4cKZfNvvg1BMdEVAGOiQAAAHCcarvY3MkOHDggSQoNDa3sLGoESkQVoEQAAAA4TrVdbO5kZ3t5AAAAAHA66wOrAQAAAJzbKBEAAAAArFAiAAAAAFixKhHHjh1T9+7dtXnzZn/lAQAAAOBwViUiJCRE69at81cWAAAAADWA9e5Mt912m15//XV/ZAEAAABQA1if4rWoqEhvvPGGPv30U1188cWqX79+qfFTpkypsnAAAAAAnMe6RKxfv16pqamSpE2bNpUadzZerRoAAABAadYlYsmSJf7IAQAAAKCGqPQpXrds2aIFCxbo119/lSQZY6osFAAAAADnsi4Re/fuVffu3ZWQkKBrrrlGeXl5kqShQ4fqgQceqPKAAAAAAJzFukT88Y9/VEhIiHJyclSvXj3v8IEDB+qTTz6p0nAAAAAAnMf6mIiFCxdqwYIFatGiRanhrVq10vbt26ssGAAAAABnst4ScejQoVJbIE7Yt2+f3G53lYQCAAAA4FzWJeKyyy7Tm2++6b3vcrlUUlKiyZMn64orrqjScAAAAACcx3p3psmTJ6t79+76+uuvdfToUT300EPasGGD9u3bpy+//NIfGQEAAAA4iPWWiMTERG3atEmXXnqp+vbtq0OHDql///5as2aNWrZs6Y+MAAAAABzEZbjAwxkVFBQoLCxM+fn58ng85U9oc8Vuf692J2WRfM/DyxEAAKDa+Pw99xTWuzNJ0v79+/X6669r48aNkqS2bdvq9ttvV3h4eGVmBwAAAKAGsd6dadmyZYqLi9Pzzz+v/fv3a//+/Xr++ed1/vnna9myZf7ICAAAAMBBrHdnSkpKUufOnfX3v/9dtWrVkiQVFxfrD3/4g1asWKHvvvvOL0EDid2ZqgC7MwEAADhOZXdnst4SsWXLFj3wwAPeAiFJtWrV0ujRo7Vlyxbb2QEAAACoYaxLRGpqqvdYiJNt3LhR7dq1s5rXVVddpeTkZKWkpOiyyy7TmjVrJEmbN29Wly5dlJCQoI4dO2rDhg3ex/hjHAAAAADf+XRg9bp167w/jxw5Uvfff7+2bNmiTp06SZK++uorvfTSS3ryySetFj5z5kw1bNhQkvThhx8qPT1d3377rYYPH65hw4YpPT1d77//vtLT05WZmSlJfhkHAAAAwHc+HRMRFBQkl8ulM03qcrlUXFxcqSDTp0/X1KlTtXDhQsXHx2vfvn0KDg6WMUZRUVFavny5PB5PlY+Lj48/LUthYaEKCwu99wsKChQdHc0xEb8Fx0QAAAA4jl9P8bpt27ZKBzuTwYMHa8mSJZKk+fPnKzc3V1FRUQoOPh7N5XIpJiZGOTk5CgsLq/JxZZWISZMmacKECX57zgAAAEBN5lOJiI2N9VuAN998U5L0j3/8Q2PHjtVjjz3mt2X5aty4cRo9erT3/oktEQAAAAAqebG5HTt2aPny5dq9e7dKSkpKjRs5cmSlggwZMkR33323WrRooby8PBUVFXl3PcrJyVFMTIw8Hk+VjyuL2+2W2+2u1PMAAAAAznbWJWL69OkaPny4ateurYiICLlO2tfd5XL5XCJ++eUXHT58WM2aNZMkzZ49WxEREYqMjFRqaqpmzJih9PR0zZo1Sy1atPDuduSPcQAAAAB8Z32xuejoaN19990aN26cgoKszxDrtX37dt1000369ddfFRQUpMaNG+vpp59WSkqKsrKylJ6err1798rj8SgjI0NJSUmS5JdxZ8LF5qoAB1YDAAA4TmUPrLYuEREREVq1apVatmxpHbKmokRUAUoEAACA41TbFauHDh2q9957z/ZhAAAAAM4S1lsiiouL1adPH/36669KSkpSSEhIqfFTpkyp0oBOwJaIKsCWCAAAAMfx63UiTjZp0iQtWLBAF154oSSddmA1AAAAgLObdYl45pln9MYbbyg9Pd0PcQAAAAA4nfUxEW63W2lpaf7IAgAAAKAGsC4R999/v1544QV/ZAEAAABQA1jvzrRq1Sp99tln+uijj3TRRReddmD1Bx98UGXhAAAAADiPdYlo2LCh+vfv748sAAAAAGoA6xKRkZHhjxwAAAAAagjrYyIAAAAAnNust0Scf/75FV4P4scff/xNgQAAAAA4m3WJGDVqVKn7x44d05o1a/TJJ59ozJgxVRYMAAAAgDNZl4j777+/zOEvvfSSvv76698cCAAAAICzVdkxEVdffbVmzZpVVbMDAAAA4FBVViLef/99hYeHV9XsAAAAADiU9e5M7du3L3VgtTFGO3fu1J49e/Tyyy9XaTgAAAAAzmNdIvr161fqflBQkBo3bqxu3bqpdevWVRYMAAAAgDO5jDEm0CGcrqCgQGFhYcrPz5fH4yl/wgpOfXsaf692J2WRfM/DyxEAAKDa+Pw99xRcbA4AAACAFZ93ZwoKCqrwInOS5HK5VFRU9JtDAQAAAHAun0vEhx9+WO64//znP3r++edVUlJSJaEAAAAAOJfPJaJv376nDcvKytLDDz+suXPn6tZbb9XEiROrNBwAAAAA56nUMRE7duzQXXfdpaSkJBUVFWnt2rX6xz/+odjY2KrOBwAAAMBhrEpEfn6+xo4dq/j4eG3YsEGLFy/W3LlzlZiY6K98AAAAABzG592ZJk+erKeeekpNmzbV22+/XebuTQAAAADOfj5fJyIoKEh169ZVjx49VKtWrXKn++CDD6osnFNwnYgqwHUiAAAAHKey14nweUvE4MGDz3iKVwAAAABnP59LxPTp0/0YAwAAAEBNwRWrAQAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAlYCViCNHjqhfv35KSEhQu3bt1LNnT23ZskWStHv3bvXu3VutWrVSYmKili1b5n2cP8bhHONy+XYDAABAmQK6JWLYsGHKysrSt99+q759++rOO++UJD388MPq1KmTNm/erIyMDN1yyy06duyY38YBAAAA8F3ASkSdOnV0zTXXyPX//8e3U6dOys7OliTNnDlTd999tySpY8eOatasmZYuXeq3cacqLCxUQUFBqRsAAACA4xxzTMRzzz2nvn37au/evTp27JiaNm3qHRcXF6ecnBy/jCvLpEmTFBYW5r1FR0f74RkDAAAANZMjSsQTTzyhLVu2aNKkSYGOIkkaN26c8vPzvbfc3NxARwIAAAAcI+Al4umnn9YHH3ygjz/+WPXq1VNERISCg4O1c+dO7zTZ2dmKiYnxy7iyuN1ueTyeUjcAAAAAxwW0REyZMkVvv/22Fi1apIYNG3qH33TTTZo2bZokKTMzUz/99JO6du3qt3EAAAAAfOcyxphALPi///2voqOjdcEFFyg0NFTS8S0AK1eu1K5duzRo0CBt27ZNtWvX1osvvqgrrrhCkvwy7kwKCgoUFham/Pz8irdK2JwW1N+r3UlZJN/zkKV8gXmrAgCAs5jP33NPEbASUZNQIqpATfzi7qQsEiUCAABUucqWiIAfEwEAAACgZgkOdAAADsFWEQAA4CNKBABnctJuZwAAoBR2ZwIAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALBCiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALASHOgAAOB4Lpdv0xnj3xyS71mk6skDADgnsSUCAAAAgBVKBAAAAAArlAgAAAAAVigRAAAAAKxQIgAAAABYoUQAAAAAsEKJAAAAAGCF60QAACqHa1YAwDmLLREAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMBKQEvEyJEjFRcXJ5fLpbVr13qHb968WV26dFFCQoI6duyoDRs2+HUcAAAAAN8FtETceOONWr58uWJjY0sNHz58uIYNG6ZNmzZp7NixSk9P9+s4AAAAAL5zGRP4k3fHxcVp9uzZSklJ0e7duxUfH699+/YpODhYxhhFRUVp+fLl8ng8VT4uPj7+tDyFhYUqLCz03i8oKFB0dLTy8/Pl8XjKfyJOOme6k7JIvuchS/l4zZSNLOU7114zAABrBQUFCgsLO/P33FM47piI3NxcRUVFKTj4+HXwXC6XYmJilJOT45dxZZk0aZLCwsK8t+jo6Gp45gCASnO5fL8BAH4zx5UIJxg3bpzy8/O9t9zc3EBHAgAAABwjONABThUdHa28vDwVFRV5dz3KyclRTEyMPB5PlY8ri9vtltvtruZnDgAAANQMjtsSERkZqdTUVM2YMUOSNGvWLLVo0ULx8fF+GQcAAADATkAPrB4+fLjmzZunnTt3KiIiQqGhodqyZYuysrKUnp6uvXv3yuPxKCMjQ0lJSZLkl3Fn4vMBJ046yNBJWaSaeWCqk7JIvGbKQ5bynUuvGSdlAYAapLIHVjvi7ExOR4moAjXxS5iTski8ZspDlvKdS68ZJ2UBgBrkrDk7EwAAAABno0QAAAAAsEKJAAAAAGCFEgEAAADACiUCAAAAgBVKBAAAAAArlAgAAAAAVoIDHQAAgLOOk64tAgB+wJYIAAAAAFYoEQAAAACssDsTAABnM193rZL8v3uVk7IA+E3YEgEAAADACiUCAAAAgBVKBAAAAAArHBMBAADOPRyfAfwmbIkAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACuUCAAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUrVgMAAASar1fQ5urZcAi2RAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAFUoEAAAAACucnQkAAAD/hzNFwQdsiQAAAABghRIBAAAAwAolAgAAAIAVSgQAAAAAK5QIAAAAAFYoEQAAAACscIpXAAAAOJOvp5uVOOVsNWNLBAAAAAArbIkAAAAAzoStIqVQIgAAAICaJsBXFmd3JgAAAABWKBEAAAAArFAiAAAAAFihRAAAAACwQokAAAAAYIUSAQAAAMAKJQIAAACAlXOqRGzevFldunRRQkKCOnbsqA0bNgQ6EgAAAFDjnFMlYvjw4Ro2bJg2bdqksWPHKj09PdCRAAAAgBrnnLli9e7du/X1119r4cKFkqQBAwbovvvu05YtWxQfH19q2sLCQhUWFnrv5+fnS5IKCgqqLlBVzuu3IkvZnJRFclYespTNSVkkZ+UhS9mclEVyVh6ylI0s5XNSnhqU5cT3W2N5ZetzpkTk5uYqKipKwcHHn7LL5VJMTIxycnJOKxGTJk3ShAkTTptHdHR01QUKC6u6ef1WZCmbk7JIzspDlrI5KYvkrDxkKZuTskjOykOWspGlfE7KUwOzHDhwQGEWuc+ZEmFj3LhxGj16tPd+SUmJ9u3bp4iICLlcLp/nU1BQoOjoaOXm5srj8fgjqhUn5SGL87M4LQ9ZnJ/FaXnIQpaanIcszs/itDyVzWKM0YEDB9SsWTOr5Z0zJSI6Olp5eXkqKipScHCwjDHKyclRTEzMadO63W653e5Swxo2bFjpZXs8noC/sE7mpDxkKZuTskjOykOWsjkpi+SsPGQpG1nK56Q8ZCmbk7JIzspTmSw2WyBOOGcOrI6MjFRqaqpmzJghSZo1a5ZatGhx2q5MAAAAACp2zmyJkKRXXnlF6enpeuKJJ+TxeJSRkRHoSAAAAECNU2v8+PHjAx2iujRq1Eh33nmnRowYoWHDhqlJkyZ+X2atWrXUrVs37wHdgeakPGRxfhbJWXnI4vwskrPykIUstpyUhyzOzyI5K091ZnEZ2/M5AQAAADinnTPHRAAAAACoGpQIAAAAAFYoEQAAAACsUCIAAAAAWKFEAAAAALAS+HNRAdXs+eefP+M09evX19ChQ8+JHCc4LY9TsF7KV1BQcMZpgoKC1KBBg2pII61bt+6M04SEhKhNmzZ+z+K0dYOyOen97ZQsc+bMOeM0derU0VVXXeXXHCc46X3ttHUzf/78M05Tp04dXXnllX5ZPqd4rSL9+/c/4zTh4eH63//932pII/3+978/4zTnnXeeXnnlFb9nCQ8PP+M0TZs21ffff+/3LJIUERGh66+/vsJpli1bpq1bt54TOZyaJzU19YzTNG7cWAsWLPBrDietF6e9l4KCguRyuVTRn5GoqCj99NNP1ZLH7XarefPmFeYpLi5WTk6O37M4ad046e9TTEzMGadp0qSJMjMz/Z5Fctb72ylZQkND1bFjxwpfu9u2bVN2drZfc5zgpPe109ZNaGio2rdvX2Ge3Nxcv+VhS0QV+eabbzRx4sQKp3nyySerKY20cuVKPfLIIxVO8/TTT1dLlqioqArbsjHmjB+cValdu3ZnvFq5v1q7E3Oc4LQ8Bw4cqPBLjTFG9957r99zOGm9OPG9tGbNmgqnad++fTWlkdq2beuYPE5aN076+1S/fn29//775Y43xujmm2+uliySs97fTskSHx+vzz77rMJpztX3tdPWTXx8vJYtW1bhNH7NY1AlxowZUyXTVJU//vGPVTJNVXj33XerZBqcW5599tkqmeZs4rT30hdffFEl01SVrVu3Vsk0VcFJ68ZJf58yMjKqZBr4z6+//lol01QVJ72vnbZuDhw4UCXTVBa7MwEOUVRUpO3btys6Olq1a9cOaJZvvvlG33//vQYNGqT9+/fryJEjioqKCmgmJ2C9VKywsFButzvQMYAazymfNXl5ecrKylK3bt1UVFSkkpKSgP99kqT8/Hzl5uYqMTExYBmcum6qE2dnqmJz5871HlD39NNP68Ybb9T69eurPce2bdskSd9//32Zt0B45JFH9Msvv8gYo2uvvVaNGjXSrFmzqj1H165dJR0/JiQ8PNx7O3G/unz88cdq0qSJOnTooPXr16t169bq3LmzoqKizri51J9efvll3XHHHRo/frwkad++fbrllluqPcewYcO8P//73/+u9uWfyinrRTq+j2ufPn2UkpIiSVq7dq2effbZgGSRjh/4mJiYqJYtW0o6/gXooYceqvYcDzzwgCTphhtuUP/+/U+7VacBAwZ4fx47dmypcSc+g6rL5s2bJR3/PZV1C6T169frtddeq7ZjIE7llL8HJ3PKZ83777+vTp06KT09XZK0YcMG9evXr9pznNC7d2/98ssvOnjwoNq1a6c+ffqccbdtf3HKuhk0aJAkqWPHjrrkkktOu/md37ZxnKOSkpKMMcasXbvWtGvXzkybNs1ceuml1Z6jd+/exhhjWrRocdotOjq62vMYY0xycrIxxpiFCxea66+/3vzwww8mJSWl2nPs2LHDGGNMdnZ2mbfqkpqaapYvX27mzp1rmjRpYubOnWuMMWbFihWmQ4cO1ZbjVO3atTOHDx8u9bu56KKLqj1H+/bty/w5UJyyXowx5uqrrzZvvfWW9z117Ngxk5iYGJAsxhjTtWtX88UXX3jXTUlJiWnbtm2155gzZ44xxpjp06eXeatOJ79OTn39Vvfn3rXXXmuMMSYuLu602/nnnx+QLMYYM3fuXBMVFWVuvfVWExcXZ/7xj39UaxZjnPP34GRO+axJTU01P//8c6kcgXhfn3Aix7vvvmtGjhxpjh49GrDPPaesm5UrVxpjjPn000/LvPkbB1ZXseDg46t04cKFGjZsmIYPH14tZ0A61ccffyzp+H8snSIo6PiGr6VLl+qmm27ShRdeKJfLVe05TmwSjo2NrfZln6ykpERpaWmSpLp166pPnz6SpM6dO6uoqChgudxut+rWrVtq2InXdaAYB+x16aT1snv3bt1222165plnvDkC+Ts6ePCgLr30Uu99l8sVkM361113nSRpyJAh1b7sipz6+q3uz72PPvpI0v9toQ6kk89G9be//U2ffPKJkpOT9dNPP6lPnz4aPHhwteZxyt+Dkznls6ZWrVqKiIgoNSyQu+scO3ZM0vEzVPXu3VshISEB+9xzyro5sbWhe/fu1b5sibMzVbni4mKtXLlSs2bN8p5l4cQLP5CKiop09OhR7/169epVe4b69evrqaee0jvvvKMvv/xSxphSmapL+/btK/wjvnr16mrJUVxcrD179ig/P1979+7Vpk2blJCQoF27dgVkvZzQuHFjbdq0ybuOpk+f7tNpGavar7/+qu+++07GGB05csT78wnJycnVmscp60U6/oXi5HWxf//+gBat4OBgHTt2zLtucnNzVatWrWrPMXr06ArHT5kypZqSlC4KgfhnyckOHTqk+vXrl3vtCo/HU21ZTl4XBQUF3vdx8+bNA7KenPL34GRO+awJDQ3Vrl27vDkWL14csF28JCkxMVFXX321Nm7cqMmTJ+vw4cMBy+KUdXPTTTdV+PqdOXOmX5dPiahijz/+uIYPH67u3burTZs2ysrKUkJCQsDyZGZm6o477tDGjRtLfckoLi6u9izTp0/Xiy++qMmTJ6tJkybasmWL/j/23jyu5rSP/38dRZZJUUYGk0gZ2veSPbINNTIqUbYxWWIKY4qxZcsWhhtjibLLWMPYQkxKkYiipCzZOm3aTqfr98f5nc99TsXc3++3ruu67znPx8PDOZ/zx/V6vDvnc32u63q/X28fHx/qOsLDw6mPWRdBQUEwNDQEAGzbtg3jxo1Dq1atcO/ePYSEhDDTFR4eDi8vLzx+/BgdO3ZEy5YthZ1MmpSVlSnZlSq+FolEyMrKoqqHl7gAsolj6tSpKCoqws6dO7Ft2zZMnjyZiRYAmDFjBtzc3PDu3TssWLAAUVFRCAsLo65DS0uL+pif4vHjx0KvE8XXhBBkZGRQ1dKrVy8kJydDW1u7Vu8KkUhEdT54/vw5xo8fD0IIXr9+jcrKSmEHl8XmCS/zgSK83GtWr16NIUOGICsrC87Oznj27BnOnj1LXYeciIgInD9/Hubm5mjevDlevnyJlStXMtHCS2wGDx5MfUxFVO5M/+M4ODhg3bp1mDFjBq5cuYJNmzbhiy++EAoQaSORSJCTkyMUYPLAq1evAABfffUV9bHFYjGqq6uho6ODoqIiXLx4EZ07d6bqM10X1dXVSE9PByEExsbGTHaVeYSnuBw8eBAnTpwAIQRubm7Mirzl3Lp1CydPnhR6VSimN/0TuXbt2mc/p11czQtbtmxReu/p6QkdHR28evUKa9asYWoQALCdDxTh5V5TWFiIW7dugRACJycnaGtrM9HBI6rYqBYR9c6nGvqwchCwtrZGUlISTE1NkZqaCkBWxc/CCSM2Nhbe3t5QV1dHTk4OEhMTsXHjRkRFRVHXAgCPHj2Ch4eHMGl06NABR8dC7BMAACAASURBVI8eRbdu3ahrKSgogLq6Or744gvqY3+KiooKVFRUCO9ppjwo8ujRIzx8+BAAYGpqCmNjYyY65PASFxWfpri4GPPnz8fFixcBAK6urlixYgU0NTWpaTh+/Dh1RygV//fwNB/IUd1rlDl//jxmz56NrKwsSKVSEEKon6TxSl5eHn744QfB2dHFxQXbtm2Dnp5eg46rsnitZ4qLi4V/7969w969e6kfXSsiLzpq3bo1UlJS8OHDB7x//56Jlvnz5+PGjRtCMZKtre3fdqFsSKZNm4aQkBCIxWKIxWKEhITA39+f2vhFRUWYMWMGtLS0oKOjAy0tLejr62Pr1q3UNNRFfHw8vvnmGzRv3hytWrUS/tGmvLwcI0eOhI2NDUJDQ7Fs2TJYWVnB3d1daWKlBS9xkXPkyBEEBwcjMDBQ+MeKsrIyhIWFwdvbm5mlqiLTpk1DVVUVjhw5gqNHj0IqlWLatGlUNSxbtgzjxo37ZB0CTRo1agQ1NbVP/mMJa4tXOaznA0V4udc8efIEQ4YMwVdffaVkf8uKgIAAbNy4Ee/fv0dRURGKi4uZ/b54i83UqVNhY2OD7OxsZGdnw8bGBlOnTm34gRvc/+kfzvv378nw4cOZjR8WFkbev39PYmJiSIsWLUjTpk3JypUrmWiR25YqWqKxsHiVY25u/h9dayi+++47EhoaSpKTk0lgYCBZvXo1iY+PJ4MGDSKhoaHUdNTEzs6OxMfHEwsLC1JUVERCQ0PJ2rVrqetYsmQJGTFiBBGLxcK1/Px84u7uTpYsWUJdDy9xIYSQmTNnkuHDh5N27dqRwMBA0rFjRzJx4kQmWgghZOzYscTf35/o6+uTTZs2ESsrKzJ79mxmeuTWt393rSGRSCRkwYIFxMDAgPz5559Ux65JSUkJKS4uJsuWLSPBwcEkNzeX5ObmkpCQEOr3Gt4sXuWwng8U4eVe06dPH3Lo0CHSvXt3cv/+fTJlyhSyfPly6jrkWFtbMxu7JrzFhtX3V7WIoABLX2VFysvLSX5+PpFKpUzGd3Z2JsXFxYJn+v3794mjoyMTLYTIfJ4fPnwovH/48CGxsrKiNn5N328HBwdCCCEfP34kRkZG1HTURP73UfTfZtG3wsLCgrx7967W9bdv3zJZfPISF7kGqVQqPBi/fv2aDBo0iIkWuR5C/t0np6ioiPTq1YuZnh49epCioiLhfXFxMbOeHnfu3CGtWrUiZmZmxNLSUvjHgrrubzTveYQobxz17t2bpKSkEEIIefHiBdNNJdbzgSK83Gtq6qiuria2trbUdchZtGgR+eOPP5iNrwhvsTE1NSV5eXnC+zdv3gj344ZE5c5Uz2zatEl4LZVKkZCQ0OA5aZ9j5cqV+OWXXwDIvKebNGkCX19f7Nu3j7qWhQsXYtCgQXj58iV8fHxw6dIlHDhwgLoOOStWrEDv3r0Fi8HU1FTs37+f2vgikQilpaVo3rw53r59K/SGaN68OVMv7saNGwMAdHR0kJycjI4dO+Ldu3fUdVRUVEBXV7fW9TZt2qC8vJy6Hl7iAgBNmzZFo0aNIBKJIJFIoKenJ+Rys0Duaa+uro6PHz9CU1OTWWwAWZ8IBwcHjBkzBoAs9WvChAnUdeTm5mL+/PlwcHDAnDlzmKcOFRcX4+3bt/jyyy8ByPqNFBcXU9XAm8WrHNbzgSK83GvkOjQ1NZGdnQ09PT1m6dAAsHHjRhQWFqJZs2bQ0NAQaiLy8/Opa+EtNoGBgbC0tBT6TcXExGDFihUNPq5qEVHPKOb4q6urw8LCAj/88AMzPZcvX4aBgQE8PT0ByPI+Wd2oBw0ahK5du+L8+fMghGDJkiVMXZpcXV3x6NEj3L59G4DMyaquh9aGYvz48bCzs4OzszMuXbqEOXPmAJAVSLGcTD09PfHhwwcEBwejT58+kEgkCA0Npa6jZrMlRVj0OeElLoBs4iotLYWzszN8fHygp6fHJCZyWrduDbFYjKFDh8LV1RW6urro0KEDMz1z586FqakpLl26BABYu3YtdSvE33//HUuWLMGiRYswZcoUqmN/iqCgIJibm2Po0KEAZIWqixcvpqqBN4tXOaznA0V4udf07t0bHz58wIwZM2BtbY0mTZoIzxIsuHfvHrOxa8JbbPz8/GBlZSUUVs+YMYNKLyWVO9P/OAUFBRgwYAA2bNiAM2fOICsrC0eOHBG6R/+TSUxMRLdu3QTHlqKiImRkZMDGxoaahosXL+L+/fuwtrZG3759qY37nyKRSFBeXk7V1UaOtrY2+vfvX+s6IQSxsbEQi8XUNclhGRcAePPmDbS1tVFdXY3169dDLBZj1qxZ6NixIxM9UqkUampqIIRg//79KCgowPjx45m5yZSXl0NDQ0NYjFdXV6OyshJNmzalpqFPnz6IiIiAgYEBtTH/Ex48eICrV68CAPr3748ePXpQHZ9Xi1ce5oO6YH2vkZObm4vCwkKYmJgw1fH69Wukp6ejb9++qKqqQnV1NdOTe4CP2Lx8+RK6urrQ0NAAILsH5ufnN7hVsWoRUc8UFhYiJCQEz58/x+nTp5GWloaUlBR4eXkx05Sbm4s+ffqge/fuOHHiBLM28cnJyQgODkZWVpaQugOAetMwOVZWVkhMTBRSDKqqquDg4IA7d+5Q1yI/BmW18wXI3Ca6du2K+/fv1/k57Q7Re/fu/eznvr6+VHTwFhcVf4+TkxPOnTsnNJ8rLCzEsGHDEBcXR02DPNWiJqmpqdi1axeXTc7+yfA0H+zYsQMeHh6C28+HDx9w/PhxaidaPHU4V+TYsWMICgqCSCRCdnY2UlJS8MsvvyAmJoaaBl5jY2dnh2vXrgkn+KWlpejXr59wstZQqNKZ6pmpU6fCxMQEsbGxAAADAwN4e3tTX0TY2toqTWCVlZV4/vw5nJycAAAJCQlU9QCyh74ZM2bA0dGReW4wINudVNShrq6utLihQXh4OFavXo23b9+CEIK2bdti/vz5mDVrFlUdAPDTTz/hzJkzGDlyZK3PWHSIprVI+Dt4iktQUBDWrVsHd3f3Oh9Qjx8/Tk0LAHh5eeHgwYOwtLSsU09ycjJVPXJKS0uVuldraWmhpKSEqgbFeBQXF+PAgQPYtWsXXr58yWxTiYeNnNTUVBgYGOCLL76ARCLBypUrER8fD3NzcyxcuJBZWh4P84GcrVu3KqVB6+joYOvWrdQWEXV1OFf8n1VfhpUrVyI5ORkuLi4AAHNzczx//pyqBl5jU1lZqZQC3Lx5cypW6KpFRD2TkZGBQ4cOITo6GoAsr5vFYc+qVauoj/l3qKmp0fEt/g9p0qSJsMsMyP528mIpGkRFRWHbtm2IiIiAvb09CCFISEjATz/9BF1dXYwdO5aaFgA4c+YMAODZs2dUx/0UsbGxMDQ0FHLr161bh8jISHTp0gW//fYb2rVrR0UHT3GRp7y5ubmxFfL/I6/j4W1Xvbq6GiUlJULzxqKiIiYPhNevX8fOnTtx5swZDBgwALm5uXj16hWzmiceNnK8vb2F3f1ffvkFz549g5+fH86fP49p06YhIiKCiS7W84EidT0z0Hw4lS/+q6urqY35n6Cmpib0mZJDO5WJ19gAwLt379CmTRsAspRXGs+eqkVEPVPzC11WVsZkETFgwADqY/4dPXv2xJ07d5jnmMpZtGgRnJ2dMWTIEADAhQsXsGfPHmrj79ixA4cPH4a5ublwzdXVFYcOHcKMGTOoLyIUqa6uRl5entKD19dff01VQ2BgoFAYe+PGDaxYsQJbt27F3bt3ERAQgKNHj1LVA7CPy7fffguAn1Maa2trALL8f54YO3YsXFxc8OOPPwIAtm3bRj1mRkZG0NDQwOTJk7Fhwwbo6OjAwMCAqWkCDxs5hBAhb/vq1auIj49H48aNMXr0aKV7IW1YzweKtGvXDkeOHMH3338PADh8+DC1TROe0dTUxJs3b4Tf0OXLl5k2eOOJmTNnomfPnhg/fjwAYN++fQgODm7wcVWLiHqmX79+WL58OcrLy3Hp0iVs2LCBaefW8vJybN26Fffu3VOyxTxy5Ah1LdevX8fvv/8OQ0NDpQJHVikP8hzpixcvApBZ0NJ0i8rLy6tz0jQzM8ObN2+o6ahJREQEAgIC0LhxY6EAXyQS4e3bt1R1VFVVCRPEyZMnMWHCBIwZMwbff/89k4cNXuICyAwTtm/fjszMTKUFze7du6lrAYDs7GysXr26lh65Uwhtfv75Z+jp6eHs2bMAZE4lPj4+VDW0a9cOT58+xevXr5Gfnw8dHR2mCwiAj40cDQ0NZGdno1OnTtDW1oZEIkHjxo0hlUqZpQ8B7OcDRcLDwzFy5EjMmzcPgCw15eTJk9R1nDt3Dj/99BOysrIglUqZp+ysXr0aQ4YMQVZWFpydnfHs2TPhN04b3mIzadIk6OvrC/UhO3bsoGLWoiqsrmeqqqqwZs0anDhxAoQQuLm54eeff2Z2dDx+/Hg0a9YMFy5cwKxZs7Bv3z706dOHSfrBtWvX6rzO2y4mLaytrZGUlFTnZ1ZWVswWV126dEFMTAyMjY2ZjC/H3NwcKSkpAGR5qEFBQUIaj+JntOAlLgDg4uKCNm3a1EpLmT59OhM9dnZ2GDBgQC09w4YNY6KHF54+fYrdu3dj7969MDAwQEZGBjIzM5k57ZiamiI9PZ3pRs6ff/4Jf39/TJkyBfn5+fjrr78wcuRIXL58GU5OTli4cCE1LTwjlUqRnp4OADA2NmbyDGFkZITNmzfX+l23aNGCuhY5hYWFuHXrFgghcHJygra2NhMdPMaGBapFRD0ilUqxZcsWBAQEsJYiYGZmhvv37wv/FxUV4dtvv/3kA31DI5FIkJOTw7Q/BC906NBB2GmqyZo1a5Cbm0tZkQx7e/sGd3T4Txg5ciT69++P9u3bY+LEicjNzYWWlhbKyspgbW2NtLQ0qnp4iQsA9OjRAw8fPmQtQ0B+f1FRN9XV1YiJicGuXbtw+fJluLq6MknH42UjJysrC5s3b0ZaWhqqqqrw9ddfw9vbGwMHDqSqg3cqKiqUimNpO//Y2Ngwcaf6FDzZ8PIWG1ao0pnqETU1Nezdu5erRYR8t0lNTQ2lpaVo2bIls06ysbGx8Pb2hrq6OnJycpCYmIiNGzciKiqKiR7WDBw4UKk5oSJy9wkWuLm5ITw8HN7e3kq7lbQnsC1btsDf3x8vXrzAjh07BLedK1euCF05acJLXADZqUhBQQGzXbiamJiYICcnh3rdzH8LjRo1wvDhwzF8+HC8efMG+/btY6KDl1Pfzp07M+sH8d9AfHw8JkyYgIyMDKXrtFNlhg8fjhMnTnBj5DB16lQkJiYK75s3b44ff/yRycM8b7Fhheokop6ZP38+TE1NmRbFKjJ48GAcOnQIYWFhuHnzJnR1dVFYWCgUrNLEwcEB+/fvh4eHh/DwzNuOqgrU2YiQZa4nL/AUF09PTyQkJGDw4MFKC5r169dT1wLIFsR37tyBo6Ojkh7alrMqPk+/fv3qrMtgVbtSk3379gmFof9k7O3tsWnTJvz444+4fv06Nm3ahKZNmyIoKIiqjlatWqGwsBDNmjWDhoaGkPefn59PVYccCwuLWl2r67pGA95iwwrVSUQ9s337dhQWFmLSpElo3rw58y/WqVOn0KRJE4SGhiIyMhJisRh+fn5MtEil0lppTKw7Tb569QoPHjxQKjofMWIElbH37t0rOMbcvHkTPXv2FD5bt24d9QlDDo/WdTzAU1y++eYbfPPNN6xlCPj4+FAvXP5PYJ0OwhtyS15AZrpx4MABGBkZMVSkzIIFC5guIljOB4pIJBLY29ujqqoKmpqaCAkJga2tLfU5gcXD+efgyYaXt9gAsmes58+fK31/u3fv3qBjqhYR9QxvXyzFh3Rra2t06NCBWQpE06ZNUVJSIuyEpaamKjVHoc3u3buxdOlS5Ofno2vXrkhJSYGDgwO1SWPjxo3CImLmzJlKxY379+9ntogAZF3Ob9y4AUCWAtG+fXtmWniCl7gsWrSIybifQv49lh9ss3Yh4iUdhDdqFrrL645o8qlFAiEEYrGYqhZFWM8HisgfjHV0dJCcnIyOHTsySUPW19dHaWmp8FxjYWHBrBkgoGzDSwjBn3/+ycyGl7fYnDt3DhMnToRYLIaGhgZKSkrQvn175OTkNOi4tc/nVfw/oa+vX+c/2gQHB+PBgwcAZLtx9vb2cHJyQocOHXDu3DnqegCZZd6gQYPw8uVL+Pj4YODAgQgNDWWiBQA2bNiAu3fvokuXLkhKSsKVK1eo7sopZhLWzCpkmWV48uRJWFpa4siRIzh69CgsLS1x+vRpZnp4gae4FBcXY/r06TAyMoKRkRFmzpyJ4uJiJloA4PXr1xg6dCiaN2+O5s2bY/jw4Xj9+jUzPbNmzUJERATMzMxQUFCApUuXIiwsjJkeXpFKpXj16hXVMY8dOwYrKyvY29sr/XNwcGB6Ms16PlDE09MTHz58QHBwMPr06YOOHTtixowZ1HXcunULXbp0wfTp0zF9+nQYGhrir7/+oq5DjtyG187ODvb29oiLi8PgwYOZaOEtNiEhIbh16xa++eYbFBYWYteuXfD29m74gYmKeqVTp07EwMCg1j/adO/enUilUkIIIXv27CFWVlakvLycJCUlETs7O+p65GRlZZGtW7eSLVu2kKdPnzLTQQghVlZWhBBCTExMhGuWlpbUxlccq+a4NHXUxNLSkjx58kR4/+TJE6Z6eIGnuPj4+JAffviB3L17l9y7d4/4+/sTHx8fJloIIWT48OFk+fLlRCwWE7FYTFauXEmGDx/OTI/876L427axsaGqITAwkBBCiJubG3F3d6/1jwWKWkaMGEE6depEpk2bRlWDg4MDSU5OrvOzDh06UNWiCOv54FNUVlaSoqIiJmPb29uTuLg44f3NmzeJvb09Ey2EEFJRUSG8zszMJKdPnyZVVVVMtPAWm7q+v9bW1g0+riqdqZ45c+aM8Lq8vByRkZG12rTToEmTJkIhaGxsLLy8vKChoQErKytIJBLqeuQYGBjA39+f2fiKyIuhjIyMEB4eDn19fZSUlFAb/+3bt9i0aVOt1wCYOWgBst1JQ0ND4b2hoSGTegAvLy8cPHgQlpaWdabH0O6jwUtcAOD+/ftKfTK2bt3KtNtvbm6u0qnM/PnzYWFhwUwPD+kg8kZPPLm3KGpRV1dHcHAw7O3tqWoICwv75JzI8sST9XxQk6NHjwqN71xdXTFq1CjqGsrKypRq9ZycnJTy7WnTs2dPXLlyBZWVlejVqxc6deqEM2fOYNu2bdS18BYbdXXZ43z79u1x+vRpdOrUCR8+fGj4cRt8hH8YPXr0UHpvbW3NpIGORCIROoHGxcVh6tSpwmeKhYY0MTAwqPUwqK2tDUdHRyxbtox6+/rQ0FAUFRUhLCwMP/74IwoKCrB161Zq4ytavNa0e2Vp8frll19i586dmDhxIgBgz549aNOmDXUd8iJQFo0R64KXuACyBU1xcbHgl15SUsI0358Qgry8POjp6QGQdWMnDFPyaqaDSCQS6qmT3377LYB/14vwgFxLRUUFNDQ0mGjo1avXJz9jufBkPR8osnTpUpw4cQLjx4+HSCTCypUr8ejRIyxYsICqji+++AKXLl0S5qPLly8zbaYmLzTft28ffH19sWLFCpiamjLRwltsZs6cifz8fCxbtgzff/89CgsLsXHjxgYfV2Xx2sB8+PABtra2yMrKojruokWLcPXqVejo6ODx48dIS0uDSCRCdnY2PD09ER8fT1UPIKuJePnyJSZNmgRA9hCmra0NQghyc3Nx5MgR6ppU1CYzMxNjx45FcnIyRCIRrKysEBUV9Y9vEMhTXNasWYOIiAiMGTMGAHDkyBFMmDCBWTF+ZGQk5s2bhyFDhgAAzp8/jzVr1nBhdS2RSFBeXk69S7TcYS0wMLDOz1nY8aampsLLywsFBQV48eIFkpKScPjwYar1Iq9evUJ2djacnJwAyL7L8noeX1/ff/x9BpA1b4yPjxcKdT9+/AhHR0fqDR3v3LmDUaNGCR2Zq6urcfz4cVhZWVHVIUduCT9x4kR4e3vDxcWFmcUrb7FhhWoRUc8opl7I7bbmzZuH4OBg6loOHz6MFy9ewNvbG+3atQMg++K/f/+eSTFSzY6/hBDY29sjISEB3bt3p9aB+ODBg/Dy8lJKH1KEp2aBLJEf5X/xxRdMxg8KCsK6devg7u5eZzoTqx4ErOMi59y5c7h8+TIA2ckVqwJDOQ8ePEBsbCwAWT+CmqeyNJDbP37qYcvMzIyalu3bt2Pq1KlYsmRJnZ+zcNjq27cvQkNDMXPmTNy9exeEEJiYmFDt1TNp0iT0799fWGAaGhrC3d0dpaWlKC8vx65du6hpAficD0xNTZGamvq312ggkUiQnp4OADA2NmZmqQoAM2bMwJUrVyCVSvHgwQOUlJQIPWpYwENs5PbwMTExdX4+dOjQBh1flc5UzyimXqirq6Nz587CAzxt5LuUirBoDy8nPz8fpaWlwu5KaWkpCgoKAECpQVVD8/jxYwCos1s0a2tKXnj06BGePHmCqqoq4dp3331HVQOPOeU8xEXOkCFDhJ1/HjAxMYGJiQlTDT/99BPOnDmDkSNH1vpMJBJRPRGWp5DyZMdbUlICZ2dn4b1IJKLuiJScnIydO3cK7zU1NbFmzRoAUNJGCx7nAzs7O4wbNw5TpkwBAOzatQt2dnZMtJSVlaG6uhpVVVXCIobVbvvmzZuRkpKCzp07o3HjxpBKpfj999+ZaAH4iM2uXbvQs2dPrFy5stZnIpGowRcRqpMIFdRYtGgR/vjjD4wePRoAEB0djZEjR2Lu3LkYP368qrstJwQFBWH//v3o3r27cFQrEonw559/MlbGFp7ikpaWhiVLltRa0NBOd5Bz/fp1zJkzB0+fPkVVVZXQZLOoqIiJHp6oqqpCdHQ0MjMzlf5Wv/76K3UtDg4OuHHjBuzt7ZGcnIzc3Fy4u7tT3cmtmX7y559/YtCgQQBkJ/l1Pcz/0/j48SOWLl2qdNK4cOFC6jn3GzZswK+//oovv/xSMGoRiUS1+q/QJDo6Gunp6QgODsbLly+Rn5/PpC6Cx9iwQLWIqGfKysqwefNm3Lt3T6lSX/WALOPs2bO4cuUKAKB///61mh/R5vbt27Umd5YdUwsLC5Gbm8t0R9fQ0BD3799n2jhHkYKCAmzfvr3W32n37t1UdfAUFzMzM4wfPx52dnbCggaAklsITYyNjbF8+fJaelg2KayurkZeXp7Sd+brr7+mrsPDwwN5eXm1YiPffadJVFQUDh48iPv378PX1xdRUVEICwvD999/T02DoaEhHj16VCv1QyKRoFu3bsjMzKSmpSa8zQes6dy5M+Li4vDVV1+xlgJAtvBOTExEZmYmMjIy8Pr1a4waNQq3bt2iroW32AAyV8dnz54pfX/ltUcNhSqdqZ6ZMmUKWrZsiVu3biEoKAgRERHo3bs3a1ncMGzYMFhaWgIA8x+fv78/Lly4AAsLC6WdZdqTxuDBg3Ho0CGoq6sLNp3jx4/H0qVLqeqQ07FjR6rpZX+Hh4cH2rRpA0dHR6WHMNrwFBc1NTXBvYoHWrZsCQ8PD9YyBCIiIhAQEIDGjRsr7RK+ffuWupbU1FQ8fvyYi1RJHx8fdO7cGSdPnkRlZSWioqKopxANHjwYv/zyC9auXat0PSQkBK6urlS1KMLDfPCpugw5tOsz2rdvz3yeVuTkyZNITk4W0rLbtWvHzIaXt9isWrUKK1euhL6+vtL3t6Gt0FUnEfWMvPjJzMwM9+/fR3FxMYYNG4br16+zlsacR48ewcPDQ+hk2759exw9ehTdunVjoqdr165ITU1l/mAoP8I/cuQIbt68ibVr18LKyopJER0AJCYmYtWqVXB1dVWKDasdObkjB2t4iktgYCDc3Ny42aBYtWoV2rdvjzFjxjDtOiynS5cuiImJgbGxMWspcHFxwdmzZ5lZqsqRSqXw8/NDZGQkUx2FhYVwcXFBSUmJ8DB4584dtGjRApcuXYK2tjYTXTzMBxMmTPjs53v27KGkRMa5c+dw7tw5DB8+XCkurO47Dg4OiI+PV0p7Y1VwzltsunTpgvj4eOq246qTiHqmWbNmAGRF1R8/foSmpibTxmF1YWdnh4SEBOrjTps2DSEhIUIr9kOHDsHf3x9Xr16lrgWQ7WKwntgBCM3/rl+/jsGDB6Nx48ZC4xgWbNu2Dffv3wchhOkJjZwuXbqgoKCA2cOFHJ7i4uHhAVdXV2hqaqJp06ZCDQJtK2k533zzDXx8fODn5wcAgh5WvSt0dXW5WEAAsvSdvn37wt3dXelhg/auspqaGhf52lpaWoiPj8fp06eFB8FRo0bh22+/ZXrSyMN8QHuR8Hf89ddf2LdvH+Li4pTueSyeHwBAX18fN27cgEgkgkQiwYoVK5j1FuEtNm3btmXSt0h1ElHPDB48GAcPHsS6desQGxsLXV1dfPz4Ueg8yQMvXrxAhw4dqI9bl58zC4/nU6dOAQBu3LiBrKwsjBkzRmlyHzFiBFU9np6eKCwsxKNHjwSb2549ezIrMOzSpQvS09OZLmQU8fT0REJCAgYPHqz0d6Lts89TXIyNjfHzzz/DxsZG6cGLha0qIMsP3rlzZy09tAtB5YXcW7ZsQbNmzeDt7a30nWnZsiVVPUDdu8sikYh6TQ8g6ySen58PPz8/JYtimta3vMHbfADITEgCAgKEzt7v37/Hli1bqDt9derUCffu3WO+gSPnzZs38PX1xeXLlyESidCvXz/s378furq61LXwEhv5M8ORI0dQXFyMsWPHKn1/u3fv3qDjqxYR9YxUKoWamhoIIThw4ADEYjHGjx/PZPKSSqUIDg7G6tWrqY9dF9bW1oiMjBS+1GlpaRg3bhySkpKo6ujXr98nPxOJRELhNy3Ky8txr80IZgAAIABJREFU/vx5mJubw8DAAC9fvkRqaioz3/+BAwciJiaGqR+4Irz47PMUF2tra+q/m88hTzNgTaNGjSASiZS6ZcvfszwZ4QUDA4Na12ifYP1dugft1F/e5gOg7s01KyurBs9vr0mfPn1w7do1qmN+iurqaiQmJsLe3h6lpaUghDDtEM1LbDp27PjJz0QiEXJychp0fNUi4n8cVqlLdXHhwgWMHTsWZmZmIITgwYMH2L9/v2Dvp4IPpk6digcPHmDkyJFM0y94g6e4/Prrr7C1tcW3335Lfey6WLFiBVq2bInvv/+e+c4/j7B2/bl48SIGDhyIwsJCaGlpURu3LjQ0NGBhYQE/P7863bJYO/bxgLymUhETExM8ePCAqo45c+YgJycHHh4ezE9nAMDc3BwpKSlMxq4Jb7FhhWoR8T/O4sWL0bhxY0yYMEHp+JrV5P727VthUePg4MDkGFLOjh074OHhgdatWwMAPnz4gOPHjwsNfmgh3z2tCatdU57SLwB+fPZ5ikurVq1QWFiIZs2aQUNDQ9hpz8/Pp64FgOCABPCx85+YmIhu3bpBU1MTAFBcXIz09HQmzTY/5fpz5MgRahrkJ1csdrNrkp+fj8jISOzduxdt2rTBxIkT4e7uzrwgn5f5AABGjx4NW1tbBAUFgRCCdevWITExEceOHaOqo65TGlanM4CsFmzVqlUwNDRkMr4ivMUmJiYGTk5OQnqVWCzG7du3GzyjQbWI+B+Ht8kdkOUtKz4Mym/atKnryJhFs6OPHz8Kr8vKyrBv3z5IpVLMnTuXqg5e4clnnxeeP39e53V9fX3KSvjEysoKiYmJwvelqqoKDg4OVJuqyeHB9cfMzAxjx47F5s2bMW/evFqfszplTEpKwq5du3D+/HmsX7+eaXd6XuYDAHj16hV8fHwQFxcHkUiE3r17IzIyEnp6etS18ET//v2RkJAAJycnpU1RVR+u2t9fQgisra0bfNOAfYWgigalurqatQSBw4cPY+bMmRCLxUoLmsrKSiZ66lo/s1hcKeZ1tmjRAoGBgbC3t2e2iNi3b1+d11m5M/His89TXFSLhc9TXV2ttOBUV1dX2rigCQ+uP7///jv27t2LsrKyWg/FrH5XhBC8ffsWb968gbq6OvMmjrzMB4Csh9KVK1eEDSZWuf+fqk9hZWPq6+sLX19fJmPXhLfY1Pz+0tosVi0i6pnt27fD09MTWlpamD59Om7fvo3169cz+2JNmzYNW7du/dtrNPjll18QExPDJKWgLtq1a4cjR44I3VoPHz6Mdu3aMVYFPH78GO/fv2c2/unTp4XX5eXliIuLg4ODA7NFRMeOHVFZWcn8QYynuBgYGNT58MfK4pW3lLwmTZrgyZMn6Nq1KwAgIyODWUG8vb09PDw8mLr+2Nvbw97eHvr6+vj555+pjVsXmZmZ2L17N44ePQo7OztMnz4d/fr1Y75JwON8wLJwGACCgoKE1+Xl5UhPT4eJiQmzlDj5AkL+wMzyO8NbbDQ1NXH79m3Y29sDAOLj45VOaxoKVTpTPSMviLp58yaCg4MRHByMhQsXMiturisHloWtKiBrv86iPf2nePz4MUaOHImKigoAQPPmzXHy5EnhwYMWrVq1Em6GUqkUhBBs3ryZmx2XZ8+eISQkBAcOHGAy/o8//oiUlBTmPvs1YRkXxeZ75eXliIyMhI6ODhYuXEhdC8BfSt7Zs2cxceJEDBkyBIDM1GHPnj1MHM94y51mTaNGjWBjYwNPT8867TEnTpzIQBU/8wHPJCQkICIigskmJAC8fv0akyZNEnpLDRgwAL///jvzxR7APjY3b97Ed999B1NTUwCyOeKPP/6Ag4NDg46rWkTUM/KH9mXLluGrr77CpEmTmBSzHT58GIcOHUJsbKzSJFZYWIiKigrExcVR1QMAERERePXqVS03g7ocOmghlUqRnp4OQOa9z6LZkWJ+u7q6OvT09Jg2XaoLlq4YPBU014QntxDeFun29va4ffs2s/EzMjJw6dIlAICrqyu6dOnCTIuKf+Ph4fHJHWTaBec14WE+4B1WdSIA8O2338LR0RHTpk0DIGsAevPmTaVTYpawjA0gMwO4efMmAMDZ2ZlKvakqnameadSoEQ4fPozDhw/j7NmzAMAk579bt24YOXIkkpOTMXLkSOF6y5YtMWDAAOp6AKCiogKhoaFYu3atkkvJ27dvqer4+PEjWrRoITSmkjfek++m0nau0tfXx+vXr5Geno6+ffuiqqoKlZWVzNxK5M2XANmkevv2baapRLx0ceUtLop8+PABeXl5rGUIsE7JAwAjIyMYGRkx1SBHIpHg2bNnKC8vF679Uxu80XYY+jt4mw+kUin8/PwQGRlJddy6ULSZld/zJBIJMz25ublKC4b58+cz61jNW2wAQEdHh7rFrGoRUc/89ttvWLVqFaZMmQJ9fX1kZGSgf//+1HWYm5vD3Nwcw4YNE1qhE0JQUlIi2B7SZsWKFUhNTWW+I9irVy8kJydDW1tbqcCblXPVsWPHEBQUBJFIhOzsbDx8+FCoH2HBhg0bhNfq6uowNDTE4cOHmWiR8+rVKzx48EDpIYz2zZKnuFhaWiqlwD1//rxO1x1afColjzZeXl44ePCgUnwUYZGvfObMGUyZMgVisRgtWrSAWCyGvr4+nj17RlUHb81HeYG3+UBNTQ0ZGRlUx/wUihuQ6urq6Nq1K/bu3ctMDyEEeXl5gktVXl5enQXxNOAlNgMGDMDly5fRpk0bpXue/Pvb0Ju0qnSm/3EmTZqEdevWoXnz5rC1tcWTJ0+wdu1a4TiQJj179hSO2lT8G2tra/z5559wcXERjkJ79OihlPf+T2b37t1YunQp8vPz0bVrV6SkpMDBwYFJSh4vKHZKVVdXR+fOnZnmBfOSkpeUlARra+tPdpLt06cPZUWyBd+JEyfg5uaGu3fvIioqCikpKUwsinlqPqri08yfPx/5+fnw8/NTKo79p55eyYmMjMS8efOEWqfz589jzZo1GDt2LGNl7Hjx4gU6dOiAzMzMOj9v6E1b1SKinpkwYUKdO2Cs8rflRdSnTp3C8ePHsWnTJjg7O9fqhkmDhQsXorS0tJZLCYsbo1QqhampKdLS0qiPXRP5xK6YT8kyt7KqqgobN25EZmYmtm7diszMTDx//pzJiRoAmJqa4vr16+jfvz/u3r2L69evIyIigvpvire4SCQS5OTkMD/Zk1MzJa+6uppJSh5P6SDAvxu9mZqaIjU1VekabXhrPsoLPM0HgMx9rSYikYiJ+1p0dDTS09MRHByMV69e4cOHD0LxLgsePHiA2NhYADLTgh49ejDTwktspFIphg4digsXLlAfW5XOVM8o2peWl5cjOjoaVlZWzPTI14g3btzA8OHD0bJlS2bFYlFRUQCUG8OwujGqqamhTZs2KC0tZe5PrqmpiTdv3giLz8uXLzNrwAcAM2bMgFQqFXb6dXR0MGbMGCaNugCZXWerVq0En//evXtj9uzZ1HXwFJfY2Fh4e3tDXV0dOTk5SExMxMaNG4XfGG14SsnjKR0EgGAt26FDB/zxxx/o1KkTxGIxEy1Lly4FINvQ4aX5KA/wNB8AoJ7q9il+/fVXJCYmIjMzE8HBwRCJRJg6dSpTAwcTExOYmJgwG18OT7FRU1NDUVERpFIp9ec71SKinpk+fbrSe39/f+q524ro6enB398f586dQ0hICCQSCbMJg5cboxxDQ0P07NkTo0ePVtqVo20dumrVKgwZMgRZWVlwdnbGs2fPhKJ8FsTHx+PevXuwtLQEAGhrazMtGNPQ0AAhBEZGRggPD4e+vj5KSkqo6+ApLvPnz8eNGzfg4eEBALC1tWXqCrJy5UokJyfDxcUFgKwm61NdtWnQr18//PDDD1ykg8yaNQtisRihoaHw9PREQUEBwsPDqesA+Go+WhdRUVHw8fFhMjYv84EcHna5T548ieTkZGFztF27dkzuvXJ46o/DW2wcHBzg5uaGcePGKX1/hw4d2qDjqhYRDUzTpk3x4sULZuPv378fUVFR8PX1hba2NrKzsxEYGMhMT0JCgmC7OGjQIKaN56qrq2FhYYEnT54I11g0r7G1tcXVq1dx69YtEELg5ORUp386LRRTzQDZUSnLh4/Q0FAUFRUhLCwMP/74IwoKCph4cfMUF6lUWiuNiZWbFyDbCdPR0VG6xlKPvOD94sWLwjVWp55eXl4AZClMivcaViQlJSEtLQ3jxo1DQUEBysrKuPDZB8AkzVYOL/MBwM8ud7NmzWrtbLPMgD9z5ozwWrE/Dgt4i438RFzR0EIkEqkWEf9tKD6gS6VS3Llzh+nRm66urlLqR6dOneDn58dEy44dOxAaGorvvvsOIpEIo0aNwsKFCzF58mQmeniwDlXMxZUXi7HGzMwMUVFRqK6uxtOnT7F69Wr07duXmR55zYGWlpbSQyFteIpL06ZNUVJSIjzkpKamolmzZky0APyl5PF26nnu3Dk8efJESMkDwGQzZ+vWrdi+fTtKSkowbtw4fPjwAZMnTxaad9FELBajVatWStfCwsKo65DDw3wgh5ddbn19fdy4cQMikQgSiQQrVqxgZqkKoFb9g7W1NZycnJg02eQtNjdu3GAyrmoRUc9oaWkJr9XV1REQEIDvvvuOoSJ++O2335CUlCRYzgYHB2PAgAHMFhGFhYUICQnB8+fPcfr0aaSlpSElJUXYOaQBb7m4ALB+/XoEBQUhLy8PPXv2hJubG1atWsVMT2lpKfbu3VvrIWzTpk1UdfAUl4ULF2LQoEF4+fIlfHx8cOnSJWYdxQFg9erVXKXkAXykgwDA2LFjkZaWBktLS6X+OCzYsWMH4uPj4eTkBEDm3PLu3TvqOggh6NmzJzeFzAAf84EcXna5N23aBF9fX6SmpqJFixbo168f9u/fT13Hp2DZH4e32EilUvz22294+vQpNm/ejMzMTOTm5jb4RpdqEVHPLFq0iLUErpEvIGq+ZsHUqVNhYmIiOD0YGBjA29ub+qTBWy7uF198ge3bt2P79u1Mxq/Jd999h8aNG8PW1pZpB1me4jJo0CB07doV58+fByEES5YsYerSZGNjw1VKHi/pIIAsfejhw4dcdD/W0NCodWKlrk7/MUAkEqF9+/Z1nkawgpf5AOBnl7tt27Y4f/48SktLQQhBixYtqGtQhKf+OLzFJiAgAKWlpYiPjwcAtG7dGp6enkhMTGzQcVWLiHpm8uTJWL16tZCn9/79e4SEhHDx4MGarl27IiQkBFOnTgUA/P777+jatSszPRkZGTh06BCio6MByHZ/WOz28JSLK+f27dvIzMxU2vkfP348Ey05OTnc7FjyFBcDAwP4+/szGbsutLS0uEnJ4yUdBJClkFZUVHBx0timTRtkZGQI95eIiAh8/fXXTLTo6OjAysoK3377rdLmyYoVK5jo4WU+AOre5WblvPb69Ws8e/ZM6Z7Xu3dvJloUDQl46I/DU2xu3rypZPzRqlUrVFRUNPi4qkVEPZOUlKRU6KOrq9vgK8G6OHPmDAYPHsxkl+lTbNu2DTNnzoSVlRVEIhFcXFzwr3/9i5memoWfZWVlTCYNnnJxAZmj2IULF2BhYaGUfsHqYblbt254//49dHV1mYwvh6e4JCcnIzg4GFlZWUoTGIvCYUDW9Gn27NnIysoSOlaztA7lJR0EANatWwcXFxf07dtXqTj/119/pa4lPDwcXl5eePz4MTp27IiWLVvi9OnT1HUAskWwvB8CD+2qeJkPAH52uZcvX441a9agc+fOSvc8Vg0LWTSL/BS8xaam8Qct0w9+njD/R1Cc0AHZzbGyspK6jpEjR0JHRwc+Pj6YNGkS04YsgOzo8fr16zh06BBTHYr069cPy5cvR3l5OS5duoQNGzYwqV/Zt29fnddZPbRfunQJaWlptW5KrFi+fDkcHR1ha2urpIl2szme4uLr64sZM2bA0dGRizSZgIAAbN68mRs9vKSDAMAvv/yCJk2aoLy8nKlVMiBLnbx9+zbS09NBCIGxsTGzv5evry+6deumdO3x48dMtAD8zAfAvxuQKp5eseg2vnv3bmRmZjJzQJLj7u7+2dN5xd5TtOAlNnJMTU1x6NAhEEKQnZ2NVatWoVevXg0+rqpjdT0zZcoUaGhoYO7cuSCEYO3atSgvL8fOnTup6rC0tMTOnTuxa9cuHDx4EMbGxpg0aRK8vLyUjo5pYmVlheTkZCZj10VVVRXWrFmDEydOgBACNzc3/Pzzz9Qn1dGjRwuvy8vLERcXBwcHB5w7d46qDjm9e/fGtWvXmKdUyXF2dkbnzp1hY2Oj9Lep2ZOloeEpLvJO9LxgY2PDrBlhXbx58wa+vr64fPkyRCKRUPTI4jTL2NgY6enp1MetCzc3N5w4ceJvr9GgrvmA5RzBy3wA1I6DRCKBmZkZHj16RFWHk5MT08Zycvbu3fvZz319fSkp+Te8xEZOcXExZs+ejZMnTwrf340bNzb4855qEVHPFBUVYfbs2Thz5gxEIhFGjBiB9evXQ1NTk6oOxZtQeXk5jh49it27dyMpKQkeHh7Ud3EBWb2In58fnJ2dqY/938SzZ88QEhLCzG1n7ty5yMrKwpgxY5R23Vk1TezRowcePnzIZGxFeIrL9OnTMWHCBKZ9VhRZvHgxLCws4ObmxlqKEqzTQQDZ9yMqKgotW7ZkpkFOXQ/ppqamSE1NpaYhPz8f79+/h7u7u/DADsjckXx8fLhZcLFg9erVWLVqFUpKSpSeGcrKyjB+/HjqtZWLFi1CYWEhvL29le55tJs2jho1CtHR0QgLC2NWSF0TXmLDGtUi4n+UT+3oPH36FHv27MHy5cupazIxMcHjx4/RuXNnpdUxy52n6OjoWoWyLHKVa2Jubo6UlBQmY/fr16/WNZFIhCtXrjBQA3h7e2PNmjVo3749k/Hl8BQXU1NTpKenw9DQUGkCY/VbatWqFQoLC9GsWTOhw7hIJEJ+fj4TPQA/RY9jxoxBUlISBg0apPS3Wr9+PTUN27dvx7Zt25CRkQFjY2PhemFhIXr06IFTp05R07Ju3TqsXbsWHz58UEoF0dLSQkBAAKZNm0ZNiyI8zAeFhYUQi8Xw9/fHtm3bhOstW7Zk4mIlr1lRhEXTRhMTE6SmpsLa2pqbbAZeYqNIUlJSre+vt7d3g46pqomoZxYtWoSAgAAld6YtW7ZQt37t1KlTndcNDQ2ZLCAAYMuWLUzG/RSenp7Iy8uDnZ0d0zxuxQlcKpXi9u3b0NDQYKaHReOpz/Hu3TuYmJjA0dFR6SGMdh4sT3H57bffWEtQgqfUKoCvosfu3buje/fu1MdVZPDgwTA2Noa/vz82bNggXG/ZsiX1ndOgoCAEBQVhwYIFCA0NpTr25+BhPtDS0oKWlha2b9+OL7/8UrjflZeXIzc3Fx07dqSqh5emjfb29tDU1ERFRYVSE0uWmxW8xEbOzJkzcerUKZibmyvd8xp6EaE6iahn6spV5q0WQIUMY2NjPH78mHmOu+IOt7q6OgwNDTFv3rw6dzpocejQIVy6dAkikQgDBw7E999/z0zLp/JhWeTB8hQXAHjx4oXguc+ajx8/4u7duxCJRLCwsGCaQtSlSxckJCRwU/TIC2VlZWjatKlwzyOEoKKigolZQEpKCoyMjNCsWTOcPHkSiYmJmDlzJtq2bUtdC8DPfADIiqivX78u/F3KysrQt29f3L59m7qW+Ph44Z7n4uICe3t76hoAWZ1T//79ERMTU+szfX19Bor4iQ0gs9C/f/9+rT4wDY3qJKKeqctWi4U70/379z/7OYu8vezsbKxevbrWcRurNJmOHTuisrKS6a4/wNcONwDMmTMH165dg4+PDwBZ+sGdO3cQFhbGRA+LxUJd8BSXlJQUYedUJBJBT08Phw4dYpaPe/nyZXh7e6N9+/YghOD169c4ePBgnSlgNGjbti03C4ilS5fWeZ1F2uSAAQNw7tw5aGlpAZDV8A0bNgxxcXHUtfj6+uLOnTvIysrCTz/9hJEjR2LChAl1PiTSgJf5AJA9Mygu7Jo1a0bF878ma9euxebNmwWXqjFjxiAgIACBgYHUtbRt2xa3bt0Svrus4Sk2gKwXDu0FBKA6iah3Ro8eDVtbWwQFBYEQgnXr1iExMRHHjh2jqsPAwAAikUiY0BUbsrDK27Ozs8OAAQNq2UAOGzaMqo5NmzYBANLS0pCSkgJ3d3elGzaLTtESiQTPnj1DeXm5cI3VA6GRkRFSUlKEG1JZWRnMzc2RkZHBRM/EiRPrvE7bHICnuNja2mLevHmCs9exY8ewevVqJj1pAFmNxs6dO4WduISEBEyaNIlqwS7w782T6Ohobooe586dK7wuLy9HTEwMHB0dmTQPq+uknJXTl/yE/rfffkNZWRnmzp3LRAuP84GlpSUuXLiAL7/8EgCQl5cHV1dX6nVyRkZG+Ouvv4QFeX5+PhwcHJjNBTzBS2zki+7Y2FhkZ2fD09NT6fs7dOjQBh1fdRJRz2zcuBE+Pj5YsGABRCIRevfujcjISOo6FPP1LC0tcffuXeoaalJeXo6VK1eylqEUi27duinZ5rE4yj5z5gymTJkCsViMFi1aoKCgAF9//TWznEttbW2l3bjGjRszKeqTY21tLbwuLy9HdHQ0rKysqOvgKS7l5eVK1sAeHh6f3PGmQaNGjZSO8lnllY8cOVLp/cmTJ4XXrDZP1qxZo/R+8eLF8PPzo64DkJ2Ul5SUCMYWRUVFtXob0aKiogJisRgxMTHCd5dWgyxFeJsPANnCxdHREePGjQMAREVFUa+rBGQ1M4oneq1bt+bCZYwHeIlNzWcqxZonkUikWkT8t/HVV1/hypUr+PjxIwAwzQuWw0OOJyBzWMjJycHXX3/NVAdvHaIXLlyI+Ph4uLm54e7du4iKimLmzAQADg4OcHV1FZrdRUVFwdHRUSgAp21pWrMfhL+/PxNbVZ7iYmVlhdjYWPTt2xcAcO3aNaXFFm0GDRqEiIgIIfUsMjISgwYNoq6Dt2LHutDR0WHm4DJ27Fi4uLjgxx9/BABs27aNWbrg9OnT0b59e/Tv3x82NjbIzs6GtrY2dR28zQcAMGHCBBgYGAi7zHv27KHSOKwm/fv3h5+fHyZNmgQAiIiIgIuLi3Di90+zM1WEl9jcuHGDyjifQpXO1AAcPXoUFy9eBAC4urpi1KhRTPWwLuyWd5ssLi7GnTt3mLvsyOHFScva2hpJSUlKfu3yayz4XB47S6tXOdXV1ejevTv17rY8xcXU1BRpaWmCC1t2dja6d++Oxo0bA6Bv9Sq3eJWPL5FIhNxlFu4pp0+fRq9evYSHUrFYjFu3blFPnQT+nS4DyNzXEhIS8PbtW1y+fJm6FkBmVHD27FkAsoWvvMaHNVVVVaioqGC28cbLfMATnzP3YHGyl5iYiB49eqB58+Y4cuQIEhISEBgYiK+++oqqDoC/2OzatQvu7u6Ce9WHDx9w6tQpTJgwoUHHVS0i6pmlS5fixIkTGD9+PEQiESIjI+Hm5oYFCxZQ1VFUVCS87tWrF+Li4qD4p6Z57MZjt0mAHyctBwcHxMfHY8iQIfjhhx/QqVMnjBo1iqnfNE8oFqpJpVLcuXMH7dq1o15nxBPXrl377Od9+vShpETG8+fPP/s5bfeUmr9tQggzj3nFSVzuvvbDDz8wTRHkgaqqKvz2229K7jbTp0+HujqbBAle5gNAVm+1efNm3Lt3T6lOjtWGGy+Ym5sjOTkZWVlZGDp0KDw8PJCcnIwLFy6wlsacur6/NFLZVelM9cyxY8cQHx+P5s2bA5B1aXZ0dKS+iNDW1hYKqwGZ/7T8vUgkglQqpaaFF3edmvDipDVr1iyIxWKEhobC09MTBQUF2LhxI3UdvKLoxqGuro6AgADBEeOfCu1Fwt/BymLxP4X2PU8R3tJljhw5UuvhlGbjOznTpk1DTk6OsMjau3cv0tLSqHdllsPLfAAAU6ZMQcuWLXHr1i0EBQUhIiKCSaNE3lBTU4OamhrOnTsHf39/BAYGwtLSkrUsLqjrPIDGPU+1iKhnCCHCAgKQ1USwOOxhUaD2dwwdOhSRkZFKx8V+fn44c+YMEz3GxsYICwtTctLq1q0bdR1eXl4AZClMT548oT4+7/yT0wlU/N+hqamJW7duwcnJCQBw8+ZNaGpqMtPz6tUrPHjwQOnBnUVdT0BAAJ49e4akpCR4eXnh6NGjGDhwIHUdAHD9+nWkpaWhUaNGAIBRo0ahR48eTLQA/MwHgMzCOTU1FWZmZpg5cyb8/PyYpOLxRkVFBd68eYPTp09j9erVAOg8KP830LZtWxw/flzYYIuOjqbSc0W1iKhn7OzsMG7cOEyZMgWALE/Nzs6OsSo+ePXqlZKbga6uLl69esVMT11OWvv27WOmR8WnSUhIqLV7ysJ6UcV/B2FhYXB3d0e3bt1ACMHTp0/xxx9/MNGye/duLF26FPn5+ejatStSUlLg4ODAZBFx9epVpKSkwNLSEuvWrcPcuXOZnRS3bt1aqR+CRCJh2tuDp/lAbiOtrq6Ojx8/QlNTE+/evWOihSd++uknGBsbw8XFBVZWVsjMzPzHpwXKCQ8Px4gRIzBv3jwAslMbuelHQ6KqiahnPn78iGXLluHSpUsAABcXFyxcuJCpS9PixYuxePHiT76nhampKe7evSvkvFZWVsLKygoPHjygrkURnpy0VNRmxYoVOHbsGHJyctCnTx9cvHgRAwYMYPZQqOK/A7FYjL/++gsA4OTkxMT5B5Dd965fv47+/fvj7t27uH79OiIiIqj3OQFk/UUSExNhYWGBxMRENG7cWMnQgQY7duwAANy5cwdJSUnw9PQEABw+fBg2NjbYtm0bNS11wcN8MHjwYBw8eBDr1q1DbGwsdHV18fHjR8GwRYUMqVQKqVSKJk2asJbCBRKJRLAo7t69O5UWAsH7AAAgAElEQVT6ItVJRD3TokULrFq1irUMJRQbzdX1nhZDhgzB6NGjMWvWLACynZ+G9jD+HKdPn0afPn3QsmVLrF27FvHx8Vi8eDFMTEyYaeIB3or6Dhw4gDt37sDBwQHR0dFIT09HcHAwdR28xYWnBoUAPyk7AJCbm4u2bdti6NChuHnzJqKiouDr68skpalJkyZo1aqV0I+hd+/emD17NnUdgCzNq7S0FM7OzvDx8YGenp5S+i0Nrl69Krw2MjISCpe7du2qZAhCG57mg7Nnz0JNTQ3Lli3DgQMHIBaLBWtp2vBSQyOHp/sMT7FJTk5Gt27dYGZmhujoaBw4cACzZ8+Gnp5eww5MVNQrkyZNIu/fvxfev3v3jvzwww8MFfFDZWUlWbx4MbG1tSW2trZk2bJlpLKykpkeU1NTQggh9+7dI+bm5mTbtm3E2dmZmR5eGDt2LPH39yf6+vpk06ZNxMrKisyePZuZHmtra0KI7O9VXV1NCCHE3Nycug6e4nL69Gmip6dHNDQ0SOvWrUmjRo1Ip06dmGghhJBdu3YRfX19oqmpSaysrIiamhrp2bMnMz2WlpakrKyMvHjxgnTo0IF4enoSDw8PJlocHR1JdXU1+e6778iGDRvI8ePHSdeuXZloycvLI+Xl5aS0tJSEhoaSoKAgkpOTw0QLb/A2H5SUlJAbN26QuLg4UlJSwkTDzJkzyfDhw0m7du1IYGAg6dixI5k4cSITLYTwdZ/hLTbm5uakqqqKPH36lHTu3JnMmTOHuLq6Nvi4qkVEPWNhYVHrmqWlJXUdqamp1Mf8b0P+dwkLCyNbtmxRusaaRYsWMRvbxMSEEPLvSbWoqIj06tWLmR5nZ2dSWVlJxo0bRwIDA8n69esFjTThKS4WFhYkOztbuN9ERkaSOXPmMNFCiCw2+fn5gp5r166RCRMmMNMj/x1v376dLFu2jBBCiJmZGRMtly9fJgUFBeTp06fExcWF2NjYkIsXLzLRIic3N5e8ePGCqYbDhw/X+Y8VPM0Hly5dIl9++SWxsLAgFhYWpG3btuTKlSvUdZiYmBCpVCr8dl6/fk0GDRpEXYeiHl7uM7zFRv5d3bRpE1m7di0hpO7n0fqmUcOec/zzkB9ZyyGEMLGJMzMzg7m5OTZt2kS90dN/C1KpFLdv30Z0dLTQSEwikTBWJYNVyhnAX1Hfv/71L1RWVmLdunUoKirCzZs3ERkZSV0HT3Fp1KgR9PX1hfuNj48P0yaAdaXs1PQsp0lFRQUqKipw8eLFzzYJpEH//v2hpaWFLl264OLFi0hMTISLiwsTLSkpKfjmm29gamoKU1NTdO/eHSkpKUy0REZGCv9+//13TJo0SaiXYAFP88Hs2bNx6tQp3L17F3fv3sWpU6eYGEk0bdoUjRo1gkgkgkQigZ6eHlMzFJ7uM7zFpqKiAu/fv8fZs2fRt29fAHRcOlU1EfWMg4MDZsyYgblz54IQgrVr18LBwYG6jh49euDXX3/Frl27EBwcjOHDh2Py5MnMJi8eCQ0NxdSpU+Hi4oJvvvkG6enpMDIyYi0LADB16lRmY7du3RpisRhDhw6Fq6srdHV10aFDB2Z65DnJzZs3x44dOyASiZjo4Cku8s7QHTp0wB9//IFOnTpBLBYz0QIAGhoaIITAyMgI4eHh0NfXR0lJCTM9Xl5e0NPTg5GREZycnPD69Wvquf9yxGIx5s+fj8uXL0MkEmHgwIFYvnw5E1eZyZMnY+nSpRg9ejQAWV+jyZMnIzExkbqW06dPK71/8uQJli1bRl2HHJ7mg0aNGsHe3l54b2dnBzU1Neo6eKihUYSn+wxvsQkICECnTp3g4uICa2trZGVlKfVYajAa/KzjH0ZhYSHx8/Mjbdq0IW3atCGTJ08mRUVF1HUoHsPm5OSQZcuWkc6dOxN9fX2yZMkS6npUfJ6DBw+SSZMmkcmTJ5NDhw4x1VJVVUUIIaS6uppERkaSzZs3k8LCQmZ6nj9/TgYNGkSaNGlCNDQ0yODBg8nz58+p6+ApLgcOHCD5+fnkzp07xNDQkOjq6pKoqCgmWgjhM2VHLBYTqVRKCCGkuLiYWfrOiBEjyLRp08i9e/fIvXv3yIwZM8iIESOYaKkrDVCenscDrFLOeGPOnDlkz549pLq6mlRXV5O9e/eSuXPnUtfBWw0NT/cZ3mJTE4lEQkpLSxt8HNUi4n+UT+VyXrp0iXh7e1NWIyMnJ4dUVFQQQgiJi4sjmzdvZrLAmjFjhvA6PDxc6TNPT0/ackhQUBCxsbEh4eHhJDw8nNjZ2TGZMHilT58+JCwsjBQUFBCxWEzWrFlD+vTpw1qWCg6JiIgQXsfFxSl9Js8Tpk23bt3+o2s0GD9+PLl69arwPjY2lvj5+THRcuHCBeFfTEwMWbRoEbGysqKug6f5QFtbm7Rq1Ypoa2sTkUhEmjRpQpo0aUJEIhFp1aoVVS0q/jtYvXq18Do6Olrps3nz5jX4+Ko+EfVMVVUVNmzYIPg5u7q6YtasWVT8ehVxcHBAfHw81TH/DisrK9y6dQsfPnyAg4MDnJ2dUVVVhaNHj1LXIbcVVHwNAJaWlrh79y5VPUZGRkhJSRFy7svKymBubo6MjAyqOiwtLT+bKqQYJ5r06NEDDx8+VLpmYmJCrb8IT3H5u+ZBtK0ON23a9NnPaedxf+63XfM9LQYMGIBDhw6hTZs2AIB3797By8tL6CVEA/l3WCKR4OHDhzAwMAAAPHv2DCYmJrh//z41LXIcHR2F1+rq6jA0NERwcDC6du1KVQdP88Hz588/+7m+vj4VHe7u7p+957Gyta6qqkJ0dDQyMzOV6k9//fVXahp4iw3re56qJqKeCQwMRGZmJqZNmwaRSISdO3fi+fPnfzvZ1je8LSDkNG3aFGfPnsXUqVOxYMECmJubU9eguG6uuYZmkW+vra0NDQ0N4X3jxo2Z5EuHh4dTH/M/wdDQEBkZGUJ+ckZGBtUHDZ7ismHDhk9+JhKJqC8iPveAxeK39LnfNu39ssDAQABAq1atYGpqimHDhgEAYmJi0KtXL6paePoOy5E3AmQNT/OB4iKhtLRUKBq2sLCgmm/v5uZGbaz/Ezw9PZGXl8esRgTgLzas73mqRUQ9Exsb+/+xd95RVRzv/39fwN5AEStgARsdVCwIooIFoygqFhIELCCWIBpbsMUSO6ixREVRVKIxihUQCyqIYAGxIGLvgCCodHh+f9zf3XABMZ/vB2Y2H+/rnD1nd5Zz5u24d3afmacgLi4OSkrSxFd2dnYwNTXlrEpKRkYG1xLxJTOm8Cq2BMi/GHgF6ZakW7du6N+/v1BMKDAwEN27dxdWnVl9GFpZWTHp558iW/H59OkTjIyM0KNHDwDSjw/ZOQvENC4lC3WJgd27d/OWIEdFv23Wv3VZUKMsE5IMd3d3pjqAss+wLItM8+bNmWuRERoaih49eqBevXrYvHkzoqOj4ePjg/bt2zPVIbb3AQBERUXBwcFBKBT27t07HDlyRG73pipxdnZm0s9/SkJCAhITE7n+P4ltbHjPeQojopIhIhQXFwtGBEnjTpjr8PPzEypDP3nyBIMHD8bjx4/RtGlTHD9+XO6lxgqxZEx5/Pgxhg8fXuaciPDkyRPmehISEgAA/v7+Qlt8fDzi4+OZri6LbZu25IpPyWqtrCu3imlcvuZ2wrpitdjcq1JSUoRd35LnAJin4120aBHT/v4J9+/fx4gRIwQjomXLljh8+DA6dOjAXMvs2bNx+/Zt3LlzB9u3b8eECRMwadIkREREMNUhtvcBIN3F+vPPP9GzZ08AUqPCy8uLmYeBbBftS/CqyqypqYn8/Hy5nXvWiG1sXr16hZ9++qnMOQAmKWcVMRGVzOzZs3Hjxg2MHz8eALB3716Ymppi9erVTHWU9IUbM2YMLCws4OnpiSNHjmDbtm1CzAZrPnz4gPr160NJSQmfPn1CZmYmWrRowVRDQEBAhffFttLACsW4lI+YxkXmy14eEokEjx8/ZqYFQIU1GCQSCfPaFS4uLhXeF9vOCWusra0xceJEjB07FgAQFBSE7du3c9nhkr2j1q1bhxo1amDq1Klc4lbE9PuWYWRkVKZ+h7GxMbOaCEuWLKnwPi8D2d3dHfHx8Rg2bBhq1qwptLOMvRLb2Pj4+FR4v6rTJiuMiEqmuLgY27dvx7lz5wAA/fr1w6RJk4SdCVaUnIxLT0gsJ6OSXLp0qdx2S0tLxkrExYkTJ2BlZYX69etj7dq1iI6OxpIlS6Cnp8dVV15eHtcVH7GiGBcF/1bKm/t5vQ8MDQ2xb98+TJkyBb///jv09PRgYGAg7Mx+y/Ts2RNLliwR6jqdO3cOCxcuRGRkJGdlfClvkUAikcjt4itgTJXnf1LAhdatW9Px48cpODiYOnbsKHePVy7uzp07C4e+vj5Vq1bti6loq5IzZ85Uyt9UFrI87XFxcWRkZETbtm0jCwsLZv2X5vbt26Snp0ctWrQgIqLr168rUs6S+Mblzz//pOXLlxMR0atXr+j27dvctBQUFNDatWvJw8ODiIiSk5Pp3LlzzHWkpqZWyt/8r2Jqakp3794Vru/evcslrSqR9Plt3749eXp6EhFRYmIi2dnZMdchtvcBEVFsbCxpaWlR69atqXXr1qStrU03btxgqoFImpbdzs6OjIyMiIjo1q1btH79euY6xIhYxubOnTuV8jf/VxQ7EZWE2PzkevfuLefHHRgYiBYtWiAlJQV2dnZcKpSWJiYmBnv27MGWLVuY9mtkZIQrV65UGKtiZWXFLLWfbNdozZo1qFOnDqZMmcItHSUgfXaWLVuGadOm4datWyAi6Ovrl0mzygIiwtu3b9GsWTPmfZdGTOOycOFCxMbG4tGjR0hKSsKbN2/g4OCAqKgo5loAqZtBUVERrly5gvv37+PDhw/o168frl+/zlTHP/ndsPxtFRUVwcDAAPfu3WPS39cIDQ3FuHHjhNiZhIQE7N+/H7a2tpyV8UNs7wPZnKeuro4HDx4AANq3by9UqWfJoEGDMHbsWKxZswbx8fEoLCyEiYkJt90isaTQB8QzNrznPEVgdSXBpLz4f8DFixfLbW/UqBHzwLUv0bVrV0yePJl5vwkJCVBVVa3wpSHLisGCoqIiXLt2DUeOHBF8tgsKCpj1X5pPnz7BwsJCuJZIJKhevTo3PTY2NsxqQlSEmMYlODgYN2/eROfOnQEAzZo1w6dPn7hoAaQppePi4mBiYgJAmraYxzOcmJj41Wx479+/Z6QGUFZWRuPGjZGdnc0liURp+vfvj/v37+PatWsApJnh1NXVOavii9jeB8Dfc56+vj7TfkuTkpICJycnrFu3DoC0ngePD3YZYkmhD4hnbG7fvg0NDY0v3ieiKnW/VRgRlYQsmKZkZiYxoqysjJycHC4vtJKZZWQfzjw+NIqLi5n3WRHLli3D5MmT0bdvX3Ts2BEPHjwQaiLwQEVFBQUFBcJO1osXL7jl5JZIJGjZsiXS0tK4f+yIaVxq1apVpm+em8olgxwB6e+bx+/szJkzX/0b1oafjo4OevbsiZEjR6Ju3bpCO+tCfCV3RQYPHsy0bzEjtveB2Oa8kvNKRkYG13lGTCn0xTI2st2qiqhK40ZhRFQyrVq1gru7OyZNmsR9AvgSJiYmeP78OfN+hw4dKpyrqKhAV1f3q5kxvgW+++47fPfdd8J1+/btceTIEW56pk6dCnt7e6SmpuLnn39GYGAg8+xiJalbty6MjY0xaNAguY8w1i6CYhoXbW1tXL58WahCvGLFChgbG3PRAkiDZAMDA1FcXIzk5GSsWrUKvXv3Zq5DTDU9ZBQXF8PY2BgPHz4U2njkuRfbroiCLyOWOW/kyJGYPHkysrKysHPnTmzbtg0TJkxgqqEkJJIU+oB4xqZt27bM+yyJIiaiknnw4AG2bt2KgwcPwtbWFlOnToW5uTlzHRXlb58wYQJSUlIYqlFQERkZGZg3bx7Cw8MhkUjQr18/rFixgmthwKioKAQHB4OIMGTIEDk3HtZ8KaUejzSDYhmXd+/ewdnZGefOnYNEIoG1tTX279/PbeHi06dP8Pb2xrFjxwBIa3ysX78ederU4aJHQfm4ubnh5s2b3HdFFFSMmOa8gwcP4tixYyAi2NvbC+mBeSCWFPoyxDQ2vFAYEVVEdnY2AgMDsXz5cmhoaMDLywtjxoxhtgKlrKwMKyurcq306Oho5OTkMNFRkhMnTqBXr15QVVUFIP14joqKgp2dHXMtYmLo0KFo2bIlJk2aBADYuXMnnj9/juDgYM7KFIid7OxsEJHiY13EZGZmYsGCBXj27BlOnDiBe/fuIT4+HmPGjGGuRQwpMj98+ID58+fj6dOnsLe3F+Y9QFrT6ODBg8y0KPh3IZYU+gr+RmFEVAFEhODgYGzatAlv376Fm5sbLly4ABUVFRw9epSJhg4dOiAkJAStWrUqc09TUxMvXrxgoqMkpfORExHMzMy4ZSESCx07dsT9+/e/2lbVeHt7Y926dV+s0My6YrWMFy9ewMPDAy9fvkRcXBzi4uJw4cIFeHl5MelfTOPy8OFD6OrqfrFyNeuK1REREbCysvrizifritViZPTo0dDX10dQUBDu3LmDnJwcdO/enUtthvL87Fn73o8ePRoaGhowNzfHli1boK2tjX379kFZWZlrVjoxwXvOW7duHby9veHl5VXunMerYrUYUIyNPIqYiEpm5cqVQuGcOXPmCKnzZs6cCV1dXWY6nJ2dkZaWVq4R4e7uzkxHRUgkEhQVFfGWgZiYGERGRsLExISLH3fz5s2RmpqKxo0bAwBSU1OZV/EGIPzb7e3tmfddEZMnTxZS6QGAvr4+vv/+e2YvVDGNi5eXF06ePCkXXySDR8XqwMBAWFlZYcOGDeXq4W1EZGdn48GDB9DR0UG9evW4aEhKSkJQUJAQ51SrVi1ufty2trZlPtLLa6tK7t+/j6CgIABSg8LNzQ2Ojo74448/uIzLtWvX0LFjR9SvXx85OTlYtGgRoqOjYWRkhOXLl6N+/frMNfGe82SubjKvAbHw5s0b+Pr64uHDhygsLBTaK3LfrmzEODb5+flIS0tD8+bN5doTExPRoUOHqu28yipQfKNMnTqVHjx4UO6969evM1YjLiwsLCgyMlK4vnLlCvXs2ZO5jj59+gjnhw8fJk1NTZo8eTLp6urStm3bmOnw8vIiLy8vcnBwoCZNmpCrqyu5urpS06ZNaeTIkcx0VERxcTFlZWVx1WBmZkZERMbGxkJbyXMeiGFcFJTlp59+Es7j4uKoWbNm1L59e2rcuDFFRERw0WRubk5Efz+z2dnZQoFJVuTl5VFmZiYZGhpSVlYWZWZmUmZmJj1//pzatWvHVEuHDh3KtE2cOJHs7e1JX1+fqRYiIj09PcrPzyciounTp5OTkxOdOnWKpk6dSmPGjGGuh0icc54Y6NatG3l6elJAQAAFBgYKx7fM2bNnqUGDBlSvXj3q3LkzPXr0SLjHopivwpGsktm0adMX03OamZkxViNNibZu3TqsW7cOFy5cYN5/SVavXo3hw4ejd+/e6N27N0aNGsVl6y89PV049/X1RVhYGLZt24bLly9j69atzHQ0aNAADRo0gIGBATw8PKClpQUtLS24u7tDT0+PmY7SuLm54cOHD8jPz4exsTGaNGnCvCBgScSSSk9M4xIbG4vs7GwAwKFDhzBr1iy8fv2aixZAGu+UlZUFAFi7di1GjBjBpQifrAgVAPj4+GDLli1ITEzE8ePHMW/ePOZ6AMDa2hrLly9Hbm4uwsPDMWLECAwbNoyphpUrV0JVVRV37txBgwYNoKqqClVVVRgYGMDJyYmplpYtWyImJkau7ffff4eGhga3onyyQm6XL1/Gnj17MGjQIGzatInLMwyIZ85buHAhPnz4ACKCnZ0d1NXVuWYO/Pz5MzZv3owffvgB48aNEw4eiGVs5s+fjwsXLiAjIwMTJkxAnz59hN8Rk2emys2Ub4wbN25Q//79SVdXVyhZ37p1a+Y6srKyyNLSklq2bElDhw6loUOHUsuWLalXr15cV1DT09Pp1KlTdOrUKcrIyOCioaR1XtpSZ2G5ix0jIyMiIgoODiZnZ2fKzMxkvnJakrVr19LEiROpTZs2tGPHDjIzM6NNmzYx1yGmcTE0NKTCwkJKSkoiHR0dmjt3Ltna2nLRQkTCOMTFxZGRkRFt27aNLCwsmOso+fuV/X/J4LWSW1BQQCtWrKCuXbtSly5daPny5VRUVMRFi7u7O5d+S/Ls2TN69epVuffOnTvHWA1Rly5dBO+Bfv36UWZmJhFJd286derEXA+ReOY8Q0NDIiIKCwujIUOGUGJiItcdkfHjx1NSUhK3/ksilrEpPc+FhYWRtrY2JSQkMPmeUcREVDLOzs6YOnUqunfvzq0QFQDMmTMHRkZGCA8PF1ZZ8vPz4e3tjdmzZ2Pbtm3MNcXGxqJDhw4YNGgQACArKwvXr18Xqu6y4vHjxxg+fDiICC9fvkRubq5QLCs/P5+pFgBYunRpue0LFy5krEQK/f/Vi8uXL2Pw4MGoX78+12fZ29sbBw8eRGZmJsLCwjBz5kwuqfTENC7KyspQVlbGmTNn4OHhgZkzZwrVonkgK2YUFhaGSZMmYfLkydi+fTtzHSkpKdi4cSOICB8/fpS7x6uo2L179zBv3jy5nZDbt28zD4IHwHSn9UtoaWl98V6fPn0YKpGyZs0a9O/fH+PGjYOBgQH69u0LOzs7XLhwodxsViwQy5wny3oUERGBkSNHon379lxqnMiYOXMmevToAV1dXbkCl+fPn2euRSxjk5eXh/z8fKGIpo2NDfz9/TF48GAm3zMKI6KSUVZWxuTJk3nLQFhYGJKSkuRSn1WvXh0bNmyo+kCbLzB58mTExsYK17Vr14a7uzuuX7/OVIefn59wbm9vj+zsbNSsWROvX78uN2C1qin5sZObm4vTp0+je/fuzHXIaNq0KTw8PHDmzBksWLAABQUFXAPgQ0JCMGbMGLmUmCEhIRgwYABTHWIal7y8PLx79w4nTpzAqlWrAIDr/5GsAv2RI0ewe/duAOBSjd7Gxga3bt0CAFhaWuLNmzdo1qwZXr16BQ0NDeZ6AGD8+PFlApfLa6tKrKysEBERATU1NbkPHSKCRCKRc/HkycCBA/9R1fHKxMrKClFRUdiyZQuePXuG5s2b4/379/j111+5zcNimfPq1KmDVatWISgoCJGRkSAiLgttMpycnODh4YHOnTtzXdgCxDM2Q4cOxfnz5+WejT59+mDPnj1wdXWtegFVvtfxjTFlyhSKjY3lLaPc4LV/cq8qKb3t9qU2nty6dYu3BEpLS6PBgwdz6z81NZU2bNhAV69eJSKiJ0+e0O7du7npKW9LlofbmZjGZceOHdSgQQNycHAgIqLk5GSytLTkooWI6Pjx42RkZEQzZ84kIqLExEQaPnw4Nz1i4N27dxQfH08dOnSg27dvU3x8PMXHx9OlS5eYBzO/fv2aiIiePn1a7sGSvLy8Lx6amppMtYgVscx5Dx8+pBkzZtCRI0eE65UrVzLXIUPmQiQGxDY2vFDUiagkTExMIJFIUFBQIKQULLndxjr3ddeuXbFz584yW+bx8fFwc3Njvvov07R//34h1W1SUhLGjRsntzvBg8zMTOzfvx87d+7Emzdv8ObNG656AEBPT49bUB8gDWC7desWJBIJjI2NuRQzS0pKQmJiIry8vORSiGZmZmL58uVITExkrkkM41IexcXFKCwsFLa0FfzNtGnTsGnTJub9+vn5wdfXF69fv5ZLvdigQQNMmzYNbm5uzLS8fPkSb9++LeM6ev36dTRr1oxpSmklJaVy3T7o/++KiCHtd/fu3XH16lXm/YpxzgOkz49EIuGSerwkU6ZMwaRJk2BsbMxVR0nEMjYlWbJkCbPq5gp3pkrC19eXtwQ5Fi5cCDs7O/z888/o1q0bAODq1atYtmwZN7/YRYsWwcLCAgMHDgQRISwsTHB94MGFCxewc+dOnD59GoWFhTh8+DBsbGyY69i4caNwXlRUhJiYGDRt2pS5Dhnnzp3D2LFj0aJFCxAR3rx5g4MHD8La2pqpjqtXr2LPnj1ISUmRe6HWr18f69atY6oFEM+4AFJ3pg0bNiA8PBwSiQT9+vXDjz/+yFyHjIyMDMybN09Oz4oVK6CmpsZNk4zIyEgu/c6YMQMzZszAL7/8Ah8fHy4aZMyZMwcTJkwo0/7p0yfMmTMHgYGBzLQ0adIEN27cQKNGjeTaiYhpLaWKyM3N5dKv2Oa8+Ph4jB49Gu/evQMgdekMCgriEs8DSOPRdu7cyX2RFhDP2JSXIXDz5s1C3akpU6ZUrQCOuyD/07x48YJevnzJVcOZM2fIwsKCateuTbVr16ZevXrR6dOnuWp68OAB/fbbb/Tbb79RcnIyFw3Lli2jtm3bkrGxMW3atInS0tKoVatWXLQQSTNOyI4JEybQr7/+Sunp6dz06OvrU3R0tHB97do1LvnbZezcuZNb3yUR07iMHz+evvvuOzp27BgdO3aMhg4dSuPHj+eihYhoyJAhNGXKFIqLi6O4uDiaOnUqDRkyhJuekvDOr3/8+HG5THTp6el08uRJphpkdQfKQ09Pj6ES6bMSHh5e7r1+/fox1fIlevTowbV/scx5nTt3pkOHDgnXhw8fps6dO3PTc/HixXIPHohlbJSUlGjw4MHk5OQkHHXr1iUnJyf6/vvvq7x/hRFRycTFxVGHDh1IVVWV1NTUqGPHjhQfH89blmj4/PkzRUZGUmRkJH3+/JmLBiUlJbKxsaH79+8LbTzS8IqV8vxOecaubN++nd6/fy9cp6Wl0e+//85ch5jGpX379lRcXCxcFxYWUvv27bloISo/zopX7FVp7t27x7X/0s9IcXExc//2ilKV8kpjqqBiXr9+TZGRkRQRESEcrLo5fygAACAASURBVClvkYRnum8Zr169+mKaYFaIZWxCQ0Opa9eucgvELBdFFcXmKpkJEyZg6dKlyMjIQHp6OpYuXcrU91XMREVFoW3btvD09ISnpyd0dHS4+J0mJyfD3NwcNjY26NGjB3bu3MnVD3f79u3IzMwEAEydOhWdO3fGpUuXuOmxtbXFnj17QNJFBuzduxe2trbc9GzZsgUNGzYUrhs1asSlyJuYxqVRo0bIyckRrvPy8qCurs5FCwA0b94cqampwnVqaio3H+HPnz8LWVLi4uJw+vRpnDx5kouW8uDh96+kpFRurNfr16/lMvjxIiIiglvfGzdurPDgwfLly9GxY0dMnToV3t7e8Pb2xqxZs5jrMDU1xcWLF4XriIgILkVzZdy/fx96enrCYWBgwC1ORCxjY2tri9DQUOzbtw+TJk3Cp0+f2KaaZWaufCOIxToVI+bm5nTlyhXhOjIykszNzbnpKSoqotOnT5ODgwPVrFmTxowZw9zNgOjv5+PKlStkaWlJISEh1KVLF+Y6ZLtnqqqqJJFIqHr16lS9enWSSCSkpqbGXI+M8nYAWP6mxDQufn5+5OfnR66urqSvr09Lly6lpUuXkqGhIbm5uTHVQkTk5eVFXl5e5ODgQE2aNCFXV1dydXWlpk2b0siRI5nr2bFjB9WoUYMaNWpEO3bsIG1tbRo1ahS1bduWlixZwlwPEZGFhQVFRkYK11euXKGePXsy1bB582bq0aMHJSYmCm33798nCwsL2rhxI1Mt5cGzyKdEIqGuXbuSi4uLnGvp+PHjycXFhYumNm3aUFpaGpe+iaQugCYmJqSvr08SiYTatGlDbdq0IYlEwvV7pnfv3rR//37h+uDBg9S7d2+mGsQ6NkREQUFBZGxsTE2bNmXWpyKwupKRWae9e/cGwN9yFxM5OTno2bOncN2jRw9uAWyAdHVu4MCBGDhwINLS0rB3717MmTMHdnZ2THXICnWdP38eP/zwA/r37y9XmIoVcXFxzPv8JzRr1gyHDh3CqFGjAAB//PEHmjVrxqx/MY2LrAYCAHTu3BmPHz8GIJ13eBRTa9CgAQDAwMAABgYGQru7uztzLYA0I9KjR4+QmZkJMzMzPHr0CM2bN0dmZiZ69OjBpYDj6tWrMWzYMKE+z8OHD3H06FGmGjw9PZGSkgITExPUqFEDgLSw5qxZszBt2jSmWsqDOCaJ3LVrF3bv3o379+/D1dUVY8aMQd26dbnpAaTB56UDz1kitkQxMjIyMuSK7o0ePRq//vorUw1iHRsAcHR0hKWlJdvsm8zMlW8EfX19UlJSEqxTJSUl0tfXJxMTE66rLWKgR48edPbsWeE6PDycawBbXl6ecP7o0SM6ceIEFRQUMNdhZmZGQUFBpKenJ+RsZx3sWJrXr1/ThQsXiIiooKBAbqxYc//+fWrXrh1pa2uTtrY2dezYkZKSkrhoEdO4KChLySDq0r7+PAOs09PT6dSpU3Tq1Cm5IGvWfP78mWJiYigmJoY+ffrETUdpli5dylsCJSUl0dy5c0lHR4ecnZ3lYuZYs3DhQpoxYwZdu3ZNqC/CK7YyPz+fWxKU0piamtLdu3eF67t375KpqSk3PWIam5KsWrWKWV8KI6KS+VL2ANZZBEaPHk1Ef2+9lT54EBsbS1paWtS6dWtq3bo1aWtr040bN7hoIZJmV8jKyqK0tDRq3rw59ezZk9zd3ZnriI6OpqFDh5Kvry8RSTNYTZs2jbkOGYcPHyYtLS3S1tYmImmygIEDB3LTQyQNHL579y7dvXuXCgsLuWgQ07h8+PCBPD09haKEd+/epQMHDnDRQkT0/PlzsrOzE4KIb926RevXr2euo+TcVnqe+9YXccSCrDhXeUycOJGhkrLk5eXRvn37qHHjxlzdvFq1alXm4JH848KFC9SsWTOhCGBMTAyNGzeOuQ4ZISEh1KhRI7K2tiZra2tSV1en0NBQLlrENjYlYTnXKYyI/1GuX79OROJKiUYktdwTEhIoISGB8vPzuekg+ntlMiAggObNm0dE/HcAxICpqSmlpaVVuKrLg9zcXMrMzBQO1ohpXBwdHemXX34Rntfs7GyuGbQGDhxI+/btE+JXCgoKuKS/rVWrlrBQUvLc2NiYateuzVwPkXSFe8CAAdSsWTNSU1MTDpb8kxgrVnFYLVu2pPPnz5dpnzx5MvXq1YuJhtLcvHmTPD09qU2bNuTh4UHXrl3jokNsmJubU3JysijmPBnv3r2jEydO0IkTJyg1NZWbDjGOjQyWu66KmIhKJicnB5s2bUJcXJycv/9ff/3FVIcsDsPKyoppvxVx4sQJ9OrVC/r6+gCk/o1RUVHMYxBkyDK4XLx4UfCzlMUnfMsoKyuX8cflWQk5OjoaLi4uSEpKkmtnneFGTOOSlJSEoKAgHDlyBABQq1Ytrn7lKSkpcHJyEgpiqaiocPktnTlzhnmfX2PixInw8PDA0qVLERQUhE2bNqFVq1ZMNSQlJWH48OEV/k1aWhoTLcHBwRgyZAiOHTsmVND29PREQkICQkNDmWgoiampKVRUVODi4gIfHx/UqlULAJCVlQVAWuiNFWfPnhUKnj558gStW7cW7h08eBBjxoxhpgWQzrFt27aVa+P5LgAADQ0NDB48mKsGQDxjU1RUBGVlZbm2VatWMetf8cVUyUycOBH169dHVFQUvL29sWfPHlhaWjLXMWzYsArTfLE2agDAx8dHLkhVVVUVPj4+3IwIa2trdOrUCUVFRdi+fTsyMjIURgSAevXq4d27d8Lzc+7cObkUq6yZMWMG9uzZA3d3d1y6dAkbN26Uq1bKCjGNS+mXVU5ODlcjQkVFRa7/jIwMLnrEtGgiIysrC46Ojli2bBkMDAywfft2mJubY/78+cw0+Pn5ffVvRo8ezUCJ9KP9wIEDGD58OEJCQrB161bcunULoaGhXAKaZe+k69evY+rUqUI7ETFPxztnzhzBiHBwcJCrxLxmzRrmRkTNmjXlUoYmJCQIRhZLlJSUKvye4ZGiXSxj07VrVwQGBqJjx45CG8vU44ovpkomPj4eCQkJMDQ0xLRp0zB+/HguH8n29vbM+/xP4ZEvvSSbNm1CfHw82rRpg2rVqqGoqAg7duzgpkcsrFq1CgMHDsTjx49hYWGBJ0+e4NSpU9z0FBQUwNzcHIWFhahXrx4WLFiALl26wNvbm6kOMY2LtbU1li9fjtzcXISHh2PDhg1fXWmuSkaOHInJkycjKysLO3fuxLZt2zBhwgTmOhwcHITdmTlz5sityFlZWXGpR1CtWjUAUiP06dOnaNq0KbNVfxnOzs5M+/salpaW2Lp1K3r06IFOnTohLCyMW0YkHlnNvkRJw7u0Ec7DKPfx8YGtrS1evXoFJycnhIeH48CBA8x1fPz4EUQEX19f5OTkwMPDAwCwbds2Lh/ugHjGZs6cObC1tcWPP/7I/J0IKIyISkf2QKuoqODz58+oV6+eXBEmVpR+acgmIKZFSEpRr149REVFoUePHgCAyMhI1KtXj5seiUSC/Px8bN68GQBgY2ODLl26MNcRGxsLPT091K5dG4cOHUJMTAxmzpyJ5s2bM9cCSFOHXrhwAVFRUSAi9OjRA6qqqly0AH9/hDVq1Ag3b96EpqYml9+UmMbll19+wZo1a1C/fn3Mnz8f9vb2mDNnDhctAODt7Y2DBw8iMzMTYWFhmDlzplwqRlbIUt4CUteQkkaEzD2FNZaWlnj//j2mTp0KMzMzVK9endmqvxjp0qWL3HsoIyMDffr0Ea5jYmJ4yMLHjx/x4MEDSCQSdOjQAXXq1GGuoeS4lH5X83h329raQldXFyEhISAiLFmypIwLDwtk/xdHjx7FjRs3hPZly5bBzMwMCxYsYK5JLGMzatQo9O7dGx4eHggODoaXl5ece9OQIUOqtH8J8dwD/x9kwIABOHjwINatW4eLFy9CXV0dnz9/xtmzZ7noefPmDdzc3HDhwgUAQN++fbFjxw6mefZlXL16VciXTkRITk7G0aNH0bVrV+ZaAOD333/HsmXLMHz4cEgkEvz111/w8fFhvoJqZGSEmzdv4vHjxxg0aBBGjBiBmzdvcvEPFiMbNmzADz/8gBs3bsDBwQEFBQVYtmwZlwquCsSNiYmJUEuj5DkgdaMp6R7CgxcvXiAzM1OIC/sWOXfuXIX3+/bty0iJlOLiYnh5eWHr1q2oXbs2iAi5ubmYMmUK1q9fz/TjvU2bNvDz8wMRwcvLCxs2bBDueXl54dGjR8y0iJF27drhypUr0NDQACCNxbKwsCgTL/ctcunSJQwfPhydOnUSjAiJRILz589Xab8KI6KSkQW5EBEOHDiAjIwMODs7c1tx/+6779C9e3dMmTIFgHT7LzIyEidOnOCiJyMjA1evXgUA7ivchoaGOHfuHBo3bgwASE1NRd++fXH79m2mOmQfNxs3bkRhYSFmzpxZ5gOIBWpqauW+MGW+wenp6Uz1lEdBQQFyc3OZ/p7ENC4bN26s8P706dMZKZEyc+bMCu+vX7+ekRIpJQ2F0kYDTyMiOjoa4eHhkEgk6Nu3L7p168ZFh4KybNy4EX/88Qf8/f3Rvn17AMCDBw8wYcIEjBo1imkxvt69e1dotMgWA6saExOTCnXw+h1t374dixcvxqBBgwAAISEhWLx4MSZOnMhMg9jGJjc3F3PmzEFoaCj8/f0FTw9WKNyZKpmVK1fi559/hkQiwbhx4wBIt9x+/vlnLnpevHghZzDMnTsXxsbGXLQAwKdPn/DhwwcAwOfPn7kaEQAEA6L0OUvy8vLw7t07nDhxQnC/4BErUlFlZt5+w0FBQcJHmI2NjVC9mgViGpeKDEse7g6yitViITExEaampmXOiYjbauXatWuxadMmIWZl9OjRmD59+lcNsMqmqKgIEREReP78OQBAS0sLVlZWZTK7fGvs378ff/zxh1zGrPbt22Pfvn1wdHRkakRcvHiRWV8VIdaqzJMnT0bPnj0FY2rmzJnQ09NjqkFsY2NkZAQbGxvcvHkTtWvXZi+AWTLZb4TyinzwLHJkaGhIb968Ea7fvHkj5HJnzbFjx6hRo0Zkb29P9vb21LhxYzp+/DgXLUREw4cPp/nz59OzZ8/o2bNn9PPPP9Pw4cOZ69ixYwc1aNCAHBwciIgoOTmZLC0tmes4dOhQue3FxcXk6urKWM3feHt7U+fOncnX15d8fX2pa9euNHv2bGb9i2lcsrKyvnjv5s2bDJVIef369RfvhYSEMFQiRSzFPkuiq6tLaWlpwvX79+9JV1eXqYZLly5Ry5YtydzcnEaNGkWjRo2irl27UsuWLSkiIoKpFrHRrl27L95r3749QyXi4dKlS1+8t3jxYoZKxIfYxiYsLIx5nyVRGBGVREhICP3444+koaFBXl5ewuHq6srViNi7dy81bdqUXFxcyMXFhZo1a0aBgYFctJiYmNDDhw+F64cPH3Idm5SUFHJ0dKRGjRqRuro6jR49mt69e8dNj4yioiLKy8tj3q+mpiadPXu2TLubmxv17t2buR4Zurq6lJ2dLVxnZ2cz/QgT07hYWVmV+2zExcVR06ZNmWohItLX16eMjIwy7WFhYdSkSRPmeo4ePcqtovmXMDMz+0dtVYmBgQHFxsaWaY+JieFSFFBMmJqa/p/uVQViKQrYvHlziouLK9O+ZMkSrs+LrHJ36YMlYhub4ODgCo+qRuHOVEnUrFkTqqqqUFJSktvi19TUhI+PDzdd33//PUxNTYXtP29vb+bbfzKKioqgo6MjXOvo6HB1k2ncuDGCgoK49S9j79695bb/8MMPTHUcP34cgwcPxpEjR2Bubg5Aun2clJTEtYiXqqoqatSoIVxXq1YNampqzPoX07h07NgRI0eOxNGjR6GkpARAmlZ6wIAB2LJlC1MtADB27FgMHDgQ586dE7bSw8PD4eTkhKNHjzLXs3jxYri7u+OHH36Am5ub4OPOA1lsVZ8+fTB+/Hi4ubkBAPbs2YN+/fox1ZKbmysUditJly5dkJeXx1SL2Hjx4kW5rmVEhJcvXzLVIpaigAEBARgyZAjOnTsnvLOXL1+OoKAgri5XJ0+eFM5zc3Oxb9++MgVAqxqxjY29vT0MDQ3RsGHDMmmAJRKJIjvTv434+HgYGRnxliHw/PlzaGhoCMW5cnJykJaWBk1NTeZabGxs4OjoCFdXVwDA7t27ERQUxDxz1aRJk/D7778DkFZPHTp0KNP+SzNy5EjhPDc3F1euXEG3bt24fLhfuXIFY8eOxenTp7FlyxYkJCQgJCSES7rD48ePA5B+lN6/f18wqmSFdVj6poplXIgIY8eORbVq1bB3714kJCTA1tYWmzdvhoODA1MtMmbPno34+HicOnUKly9fxpgxY/DXX3+hZ8+eXPRcv34du3fvxsGDB9GpUye4ubnB0dGRub9wyWrDpZFIJHLpaKuagQMHonv37nB3d5fLbLN161ZERUWJJhOcvb09jh07xrTPJUuWVHh/0aJFjJRIP1C/Rq1atZjEhB05cgRz5sxBREQE9u3bh4CAAFy8eBFNmjSp8r7/E3r06IGoqCimfYppbBYtWoSgoCCYmprC1dVVKFbIjCrf6/hGuHDhAr148UK4Xrt2LRkZGdHw4cMr9Buuarp06UI5OTnCdXZ2NnXt2pWLluTkZDI3N6dq1apR9erVqVu3bpScnMxcR0kXKp7uVF/i8ePHNGbMGG79nzlzhurXr08WFhb06dMnbjp69+79xcPa2pq5HrGMS0FBAdnZ2ZGTkxM1b96cDh8+zE2LjAkTJpC1tTU1adKELl++zFsOERHl5ubS/v37qV+/ftSgQQOaOHEib0ncSElJIVdXV6pbty7VrFmTatasSXXr1iUXFxdRuHDKuHbtGm8JCkrg7+9PTZs2pQ4dOtDbt295yylDWloac3cmGWIam+LiYgoLC6PRo0dTu3btaNGiRcy+OxU7EZWEqakpwsPD0bBhQ1y+fBn29vbYsmULbt26hUePHuHw4cNcdBkbG5fJLlNeG0s+ffoEANwqlJZM9cgjleo/wcjICPHx8Uz7LJm67tGjR2jSpInc/xHvHPu8ENO4yHZnsrOzMW3aNAwYMEBuJ6uqt65LI0s5W1hYiJUrV8La2hoWFhbCfdYpZ0tTWFiI48ePY8WKFUhKSuJWcC4mJgbh4eEApEWqynMtYoUsJXHDhg25aSgqKsJvv/3G/fkApPn1K8LS0pKREvEwbNgwSCQSEBEuX76Mdu3aoWnTpsL9v/76i4uuknNxUVERnj17hp9++gnz589npkGsYyPj1KlTcHFxwezZszF79uwq708RE1FJFBYWCpNycHAwXFxc4OjoiFGjRnF1b5JIJEhJSRG2sN++fVvGb66q+VrdBUNDQ0ZKpOTk5CAhIUEoKiQ756VH9mEISCfGa9euycUAsEJsqetKcvjwYcHtrX///kxdd8Q0LiWLT+nr6+Ply5dCGwv/19KUNMAHDx4s18Yj5ayMO3fuYNeuXThw4AB0dHTg4eEBR0dHLlpKF7V0cHDgUtRSRmnj4f3798z9ypWVlREQECAKI8Lb27tMm0QiwevXr/HmzRsu6bZ5Y29vX+45b0rOxSoqKmjTpg3zwrliHJvU1FQEBAQgICAAmpqa2Lx5MzNtip2ISqLkynGvXr3g7e0t/CfyWFWWsXv3bixbtgzff/89AKk/+aJFi4RrFojJNxgAWrVq9cUPHB56rK2thXMVFRXo6Ojgp59+qnDcviWWLl2KY8eO4YcffoBEIsG+fftgb2/PrfaKAvGyZcsW+Pv74+XLl/j+++/h6uqKjh07ctUklqKWX0JLS0uoHcGSuXPnwsDAQKinJBbS09OxbNkyBAYGYvr06Yp5RmQUFBTg+fPnaNu2LW8pomDYsGFISkqCk5MTnJ2d0bx5c6b9K4yISmLo0KHo06cPWrRoAVdXV7x48QINGjRATk4OzMzMcO/ePW7aLl68iNOnTwOQVrDu1asXNy0KxIu/v78Q9P7f/E1lY2hoiOjoaCEw9vPnz+jevTuzjzCxjosYSEtLg7q6+n/9N5WFnZ0d3NzcMGTIEKioiGOj3dDQsMyzWl5bVVJyt7M0EyZMQEpKCjMtMtTU1JCZmYnq1aujdu3aXCrAlyQ3NxcbNmyAn58fxo4diwULFjDfoSlNQkICYmNjYWhoyNQFLiQkBAMGDPiv/6ayuXjxIsaOHQsVFRU8f/4csbGx8PPzQ2BgIDMNYhubkhlBSy6Osvo9KYyISuLly5fw8PDAy5cvMWfOHIwePRqA1D8tIiICq1ev5qyQP/PmzYOnpydatmzJW4qoKCwshJ+fHx49eoQtW7bg0aNHePbsGfr06cNUR8eOHXHo0KEK3d2cnJyYr6AaGBggISHhq21VhZjGpWvXroiJifmv/6ayKBlf9N/8zf8yDg4O6NChAyZPngwA2LFjB+7du4cjR44w06CsrAwrK6tyn+Ho6Gjk5OQw0yLj2bNn5bZra2sz1VFcXIydO3fil19+QZ8+fbB06VLmGmT07dsXBw8ehIaGBg4dOgQvLy/07NkTMTExmDdvnvAMVTVGRka4cuVKhXOelZUV83jCbt26Yf/+/RgxYoTQt56eHu7evctMg9jG5ku/IxlV/SyLY6nmf4CWLVvixIkTZdrt7OxgZ2fHQZH4kEgk6Nq1K8zNzTF16lT07duXtyRRMHXqVBQVFeHKlSsAgEaNGsHR0RHXr19nqiMnJ+erPvUylwyWdO3aFd9//z0mTpwIANi1axe6du3KrH8xjYtY8sjLSExMhKmpaYV/8/79e0ZqxMm2bdswbdo0mJqaQiKRoF+/fti6dStTDbq6uvD390erVq3K3OOR7hsA9u3bV8ZVaNmyZczdh/T19ZGXl4cVK1bAyMgImZmZcgsCLGPkUlNThfjFDRs2ICoqCtra2khPT0fv3r2ZGREJCQlQVVWt8EO5ZDAxK4qKisq4MVWvXp2pBrGNjZqaGtLT08v8tp8+fcokeYLCiKgkbt++/dXJ5p/8zf8yK1aswOLFi3Ho0CH4+Phg+vTp8PT0hLOzM5c6BGIhOjoacXFxMDExASAtrlZQUMBcx9OnT5n3+U/YuHEjfvnlF6EgVL9+/ZgWcBTTuPj5+X31b2S7oCz4J7VMWL/kxYZEIilT1JKloQcAzs7OSEtLK9eIcHd3Z6pFxl9//VXGYCivrarJzs6GRCLBwoULy9xjHSOXl5eHoqIiKCsrg4iEVeTyColVJTyLwFZEzZo18enTJ8FtJyEhAbVq1WKqQWxj89NPP8HGxqbMb/vmzZs4e/ZslS9YKNyZKgnFtv4/p6CgAEFBQViwYAEaNGiA9PR0rFq1Ck5OTrylcaFbt26Ijo4W0s0WFRXB2NiYmbuO2CnP+P7WDXIF/x7Km/e/5XdBaGgoQkJCcODAAbmg6szMTNy6deubHRdAWnH9zp07+PXXX3Hs2DHk5eVh3LhxOHPmDEJCQhAcHMxbIlfCwsKwePFiPHr0CDY2NggPD8eBAweYu/6KiYrmEhauXoqdiEoiPj6+wq0jIuK22l5QUIAnT54gNzdXaOPxAfbq1Sts2bIFe/fuhaWlJQ4fPgxzc3O8evUK3bt3/2aNCENDQwQGBqK4uBjJyclYtWoVevfuzVuWaBg/fnyZSbK8NgUKxER+fj5yc3NRVFSEjx8/CivJmZmZ+Pz5M1dtb9++RWRkJNq1awcDAwOmfdesWROqqqpyAaGA1K2K5Q6jGFm8eDH8/PxgbW2Nd+/eobCwEKtXr8aYMWOwe/du3vK4Y2trC11dXYSEhICIsGTJkm8+S1NhYeEX7ykpKVV5/wojopL4J1ueysrKDJTIc/LkSUycOBEZGRmoU6cOPnz4AC0tLTx58oS5ls6dO2PChAm4du2aXBqyFi1awMXFhbkesbB+/Xp4e3vj7du36NmzJ+zt7bFq1SresriTkpKCt2/fytX1AMTxEaZAwddYuXIllixZAolEIvexXL9+/XJrE1Qlx48fx4QJE9CwYUOsX78ebm5u0NLSQnJyMlauXIlJkyYx02JlZQUrKyvY29tzraEkVmbMmIEZM2bg48ePKCwshJqaGm9JoiE/Px+tW7eGh4cHHj9+jHv37qFVq1Zcvq3EQkFBAbKyslC/fn259szMTDZu0SzKYivgh7GxMT19+pSMjY2JiGjfvn00a9YsLlpyc3O59CtmCgsL6c8//+QtQ5T4+vpSq1atqHr16tSqVSvhMDIyop07d/KWp0DBP8Ld3Z23BDIyMqLo6Gg6c+YM1a1bl+7cuUNERC9evCB9fX0umnx8fCgjI4OKi4tp0KBB1KhRI8VcWA7p6em8JYiGzp07U1ZWFqWlpVHz5s2pR48eNHnyZN6yuLJ48WIaMmSI3HOSnp5Ow4YNo0WLFlV5/1W/16GAK0pKStDW1ha2vJycnHD+/HkuWpSVlfHHH39gxYoVWLp0qXB8yygrK2P58uW8ZQCQZtGZO3cuNm/eDADw8fFBr1694OHhwSV3+4wZM/DkyRP8/PPPePLkiXDExcXBzc2NmY5Zs2YhLi6OWX//KRkZGVz7T0xMFOoMJCYmYteuXbh27RpXTWJi69atuHHjBvbt2wcA+PDhA968ecNch7m5OQYMGIDmzZtDT08PgDSrIK96GsHBwVBVVUV4eDhUVFQQGRmJZcuWcdEiFkomTnjy5An09PTQvHlztG7dmnmMXHBwsFBf5MqVK5gxYwZ27drFVENpCgsLUa9ePZw6dQrOzs6IjIxEZGQkcx1PnjzBpUuXyqRGPnv2LHMtP//8M1RVVaGpqQkTExOYmJhAU1MT9erVY+IeqDAi/sepVq0aAOnL4ujRo7h16xa3j47Ro0dj06ZNSEtLw8ePH4XjW8fU1FRI78oTNzc3pKenIyoqCoMHD8bjx48xb948KCkpMUstWB4+Pj44cuQIVqxYAQB4h+LjYQAAIABJREFU/fo10xfqjh07YGNjA1NTU/z222/48OEDs75LI6aPDABYs2YNrKys0LlzZwQGBsLW1hahoaEYNWrUP8ok9S2wZcsWuLq6YvHixQCkxvrYsWOZaijpG106Nq9kgSqWyDRFRERg5MiRaN++PTctYiEgIEA4nz9/PqZMmYKcnBysXbtWyE7HAh8fH6xYsQKLFi2Ct7c3FixYgObNmyMgIAC//PILMx2lyc/PByAtOicLpmbtyrR//3507doVnp6eaNeuHa5evSrcmzNnDlMtgPTfHxAQgPj4eMyfPx/z589HfHw8AgIC2IxNle91KODKgQMHKD09na5fv046Ojqkrq5OgYGBXLS0a9eOiouLufQtZvT09EhZWZl0dXXJxMREOFhjYGBAREQFBQWkrq5OBQUFRERUXFzMzeWBSOr2MGDAANLV1SUiotevX1P37t2Z9W9sbEx5eXkUFBREtra2VKdOHRo7diydP3+emQYZJZ+L0aNH0+bNm4mI6M8//6R+/fox19OpUydKT0+n58+fU+3atenx48dERJSamkp6enrM9YgRIyMjys7OFlxKiYj52DRo0ICGDRtG9vb2wrnsWlVVlakWGT179qRff/2V2rZtS2/fvqXi4uJv/pkp+fs2NDSUu2dkZMRMh56eHhUUFFBmZibVqlWL0tLSiIgoKytLeE/wwNPTkzp27Ejt2rWj/Px8Sk9PJzMzM6YajIyM6MWLF0REdPbsWdLU1KRz584REcn9xr8VFIHVlcTz58+hoaGBmjVrgoiwdetWREdHw8jICDNmzOC2ZTxmzBgAgJmZGR4+fMhFgwxNTU3k5+ejRo0aXHWIjd9++423BAAQApeJCIWFhcK1RCJhmqO8NMHBwbh58yY6d+4MAGjWrBk+ffrErH+JRILq1avD0dERjo6OePbsGfbs2QMXFxcoKyvj0aNHzLSU5N69ezh48CAAaVVkHiuENWrUgJqaGtTU1KCuro7WrVsDANTV1YVd0G+dGjVqlMllz/p9UHJXyN7eXu5e6WtW7NmzB5s3b8bq1avRpEkTJCcnf7MZ+mR8+PABJ06cABGVCYplOQdXr14dKioqqF+/PnR0dNCoUSMAQL169bgGMW/atAnx8fFo06YNqlWrhqKiIuzYsYOpBiJCy5YtAUhrFp06dQpDhgzB77///k3upCmMiEpi8ODBwrbWokWLEBUVheHDhyMsLAyPHz9m/qEYEREBKysrwaexNF+rwFuZbNy4EQCgo6OD3r17Y9iwYahZs6Zwf/r06cy0iBErKyveEgBI3apGjRqF7Oxs9O/fH05OThg2bBjCwsLQsWNHbrpq1apV5sXF8oVaui9tbW0sWrQICxcuRHh4ODMdgHg+MmTUqFEDp06dQkZGBiQSCf744w84OjriwoUL33TGlJI0btwYSUlJwgfGnj17oKWlxVSDs7MzioqK8Ntvv4lmvtXR0YGvr6/c9dy5czkq4o+WlhbWr18PAGjSpAlevXqFFi1aICUlhWnRxqKiIuF8+/btwjkRCS5FLMnMzMSyZcvw4MEDmJmZCc+Juro61NXVmWopLi7Gx48fUa9ePQCAgYEBTp06BTs7O2RlZTHVIgYURkQlQSXqQJw6dQqXL19G7dq1MWnSJJiamjLXExgYCCsrK2zYsKHMPYlEwtSIuHXrlnDeoUMH3L9/X07Lt461tXW548A6AH779u3Yvn07JBIJJk+ejNDQUOzYsQNt2rTBunXrmGopiba2Ni5fvgyJRIKCggKsWLECxsbGzPofOXJkue0SiQQ2NjbMdADi+ciQsXHjRkyaNAlKSkoIDg7Gr7/+CmdnZ9StWxeHDh1irkeM+Pr6YsyYMUhMTISmpibq16+PkydPMtehrKyMvXv3isaIUFCWixcvltveqFEjREREMNOxZMkSfP78GXXq1EH37t2F9qSkJDg6OjLTIcPd3R35+fkYOHAgjh07hnnz5gnzIGsmTZqE69evw9raWmjr1KkTTp8+jRkzZnDRxBNFxepKwtDQEGfPnkWTJk3Qu3dvhIWFoXr16iAi6Onp4d69e7wlKhApp06dEs5zc3Nx4MABtGvXDitXruSoSjy8e/cOzs7OOHfuHCQSCaytrbF//37mK1BipqioCHl5eahduzZvKXj//j3U1NSYFDr6t1BcXIwHDx6AiNC+fXtuuzRz586FgYGBXKVoBQrEjp6eHu7cuQOJRIKcnBxYWFjgxo0bvGUpgMKIqDSOHDkCHx8fzJw5E8+ePUNcXBwcHBwQFhaGFi1aYM2aNdy0vXnzBk+ePJGrbGhpaclcR15eHjZs2IDw8HBhFXfGjBmKGIlSFBYWok+fPrh06RLzvmWpKJ8+fQoVFRXo6enB09MTGhoazLWUJjs7m2vl95LY2NhwSecHSA2GiIgIPH/+HIB0d8LKykp07kPv378XfKm/dYqLi/H27Vu5OZi1SxMAqKmpITMzE9WrV0ft2rVBRJBIJFxSOCsoy6NHjzBhwgQ8e/YMQ4cOxcqVKwXX3+7du8tlAqpK8vLysHv3brRs2RKDBw+Gv78/Lly4AH19fXh5eTHf9TQ1NcXNmzeFazMzM65GRHx8PADAyMgIDx8+xMmTJ2FoaIi+ffty08QLhRFRidy6dQvr16/HvXv3UFhYCC0tLYwdOxajR4/m5razfPlyrFmzBm3atBE+MiQSCWJiYphrcXFxwfv374Uc/7t374aamhp2797NXIuYycvLg56eHpKTk5n26+fnhz179sDS0hKhoaHCdm1wcDAOHz6Mnj17MtVTEp6G8PDhw8u0hYWFwdbWFgDw119/MdEBAJcvX8bYsWPRokULaGtrAwCePn2K169fY//+/VwWB76ElpaWYOh8y+zZswfTp09HtWrVhN0ZiUQi1NZgybNnz8ptlz1LLHj48CF0dXVx+/btcu8bGhoy0yI2+vfvjyFDhqBbt27w8/PDo0ePEBISgnr16sHExETONbgqcXFxwdu3b5GdnY1OnTrhwYMHGDFiBEJDQ6GhocE8mFlDQ0Mu6D4wMFDumqVr06ZNm7B27VoUFhZi1qxZ2LdvH8zNzXH+/HnMnDmTazp0HiiMiP9x2rZti5iYGFGsCMriIWQGVVFREfT09JCYmMhZGV+GDRsmNya3b9/GoEGDmAfj6+npITY2FrVr10ZqaiqcnJwQGhqKW7duwcPDA9HR0Uz1yOBtCDdt2hTfffcdLCwsAEjjn2bPno21a9cCkAatssLQ0BD+/v5CpioZsbGxcHV1ZV4r4kuJGwBgwoQJXD6UxUbbtm1x+vRptG/fnrcUUTB48GCcPHlSyORVEolEgsePH3NQJQ5KGworVqzAsWPHcPbsWVhbW8utxlclMveh3NxcNG3aFK9fv0adOnVQUFAAExMT3Llzh4kOGUuWLKnw/qJFixgpkc7BUVFR+PjxI9q0aYMHDx5AS0sLqampsLW1ZWboiQVFYDUDTp48icGDB3Ppu0mTJqIwIABpcFhOTo7gt52Xl6fwa4d8ikUVFRXMnz8f5ubmzHWoqKgI/zfq6up49+4dAOmLjWdRQH9/fzx69Ijbc3z79m24u7sjISEBy5cvR40aNbB06VKmxoOM3NzcMgYEAHTp0gV5eXnM9QwbNgxWVlblZoZSFJKUoq6uLhoD4ubNm5g/fz4eP34st6vH8sNdFlT+5MkTZn3+WyhdAXn+/PmoXr06+vbty/T3pKKiAolEgpo1a6JmzZqCC2m1atW4uE2yNBK+hrKyMurWrYu6deuibdu2glti48aNv8lEMQojggFTpkxhbkTItoptbGzw448/YuzYsXJpVXlsGXfo0AHm5uYYNWoUAODPP/9Ely5dhBSw32rWEB4fo+Who6ODhQsXYtCgQThw4ABMTEwASGM0SqcTZQlvQ1hDQwN//fUX/P39YWlpic2bN3PT0rZtWyxduhTu7u5CnEpKSgq2bt1a7spuVaOrqwt/f3+0atWqzD1NTU3mesSIvb09fH19y8zB9evXZ67F2dkZU6dORffu3bnF0HwtDSaPcRELHTt2REhICAYMGCC0zZo1C0pKSpg1axYzHdra2pg1axY+fvwIPT09TJs2DePGjUNISAiaNWvGTIeM27dvf/Wb5Z/8TWVQMv1t6R0SHgs5vFG4M1USXypJT0Tw9/dHZmYmUz0VfVDw2jJ2cXH54j2JRAJ/f3+GasTFoUOHEBcXh9zcXKGNdQq7lJQUzJw5E/Hx8ejcuTPWrVuHhg0bIj09HTExMXIvNpYsWrQImZmZojCEnzx5Ajc3N9y+fRtpaWnM+09NTcXcuXNx6NAhYSVZRUUFI0eOxK+//so8AH7lypWwsbEpd3dk+fLlWLBgAVM9YqRklipZ4UaJRCL3McIKY2NjxMXFMe+3JEpKSl8sYMlrXMSC7CO0vGQjsnTOLEhLS8Py5cshkUjg4+ODgwcPYuvWrWjbti18fX3LXTSoSkoHVv9f/6Yy2LJlC77//nuhToSM+/fvw8/PD9u2batyDWJCYURUEjVr1sRPP/1U7urOhg0b8OHDBw6qFPwbmD59Op48eYIbN25gzJgxOHz4MGxsbLBr1y7e0kSBGH2ns7KyuK+YyjLqNGzYkKsOBf8ePD094eLiUq7Rp0CcBAQEiGa3mhfKyspo0KDBF+/Lsva9fPmSoSoFgMKIqDQ6d+6M3bt3w8DAoMw9TU1NvHjxgoMq4MSJE+jVqxdUVVUBABkZGYiKioKdnR0XPa9fvxYCtmSwLHwnRgwMDBAfHw8TExPEx8fj7du3cHZ2RmhoKG9pAjzjesSIg4MDjhw5wluGHGJJqbpy5UrMmzePtwwF5WBgYIAHDx5AR0dHblePVcBuaV68eIHLly8DAKysrJittP+bYLXC/k/h8S74UlaxkigrK6Nly5YM1HyZb/E9qTAiKonTp0+jXbt20NHRKXPv/Pnz6NOnDwdVZbeviQhmZmZcJiV/f38sXboU6enp0NXVRXx8PLp164YrV64w1yImunTpgtjYWBgbGyM2NhbVqlWDgYEB80w7FcEjXaesYuqXfKh57gSI7cUOiCelqhjHhgdWVlaIiIiAmpqaXMAlz9oMX6p6bGVlxViJNHW0m5sbLCwsIJFIEBkZiV27duG7775jrkXMsEzt+k8QyzwjRr7FsVEEVlcSgwYN+uI9XgZEefD0Od2wYQNu3bqFPn364MaNG7h06RL27NnDRYuYqFevHrKzs2FhYQEnJyc0bdqUS+XhiuJ6WMf0AECvXr1w8+ZNqKqqlvGh5u07zWvtpaKUqiV393iiWJeSEhQUBADcYxBKYmVlhdTUVNSqVQt169blqmXJkiWIjo4WFt6Sk5MxatQohRFRii/Nyzz65PUuEBOKsZFH6et/ouC/RZbSjgf16tVDVFSUcB0ZGVkmIIgV1atXh5qamhAQamlpKaoXLC8OHjwIFRUVrFmzBoaGhqhWrRr+/PNP5jq2bNmCunXrokGDBnKH7COeNbLV7OLiYhQVFaG4uFg4eAdfXrx4kUu/w4YNg6+vLzZs2FDmEEtKVVn9jG8dWRYbiUSCJk2aQFtbG9ra2mjSpIlcsDUrtm/fjhYtWqBp06Zo0KABDA0NER4eDgBcYvaKiorkdu51dHRQXFzMXIfYGTduHE6cOCGXCryqEdu7QEwoxkYexU4EA3ikeJWxevVqDBs2DB06dAAgrRZ69OhRLlpq1KgBIkK7du3g6+sLbW1tfPr0iYsWMdGkSRPhnGc2G319fYwcObLcuJ6dO3dyUCQlNjYWHTp0EIzfjx8/4sGDB8yCQyta/QfYxvSILaWqkZERJk6ciHHjxkFNTQ0A0LdvX+Y6xMyIESNw6dIl4ZqIMGLECFy7do2ZBn9/f/j5+WHnzp3o3r07ACAqKgre3t5Ys2YN5s2bhxs3bjDTA0hTJ+/cuROurq4AgN27d6Nx48ZMNYiZhw8fYteuXdi3bx+0tLQwduxYZn2L9V0gBhRjI4/CiKgkxLrF1b17d9y/fx9Xr14FAPTo0UMIsmbNsmXLkJWVhdWrV8Pd3R0fPnzAli1buGhRUJalS5eiVq1a5d4LCAhgrOZvJk+ejNjYWOG6Vq1acHd3x/Xr15n0b29vD0NDQzRs2LCMq45EImFqRDg7OyMtLa1cI8Ld3Z2ZDhmLFy+Gv78/5s2bh8GDB8PNzQ39+vVjrkPM5OfnywUx16pVi3k+eV9fX4SEhAiFsQCpC26nTp3Qrl07Li4z27Ztw7hx4+Dp6QlAGksTGBjIXIeYyMnJweHDh7Fz504kJydj3LhxUFJSEt7frBDruyAvLw8bNmxAeHg4JBIJ+vXrhx9//LHclLhVhVjHhheKwOpKQpHi9euUVwyGVYEYBf9eysttzzLf/aJFixAUFARTU1O4urrCxsaGSb//Jt6+fYuAgADs3r0beXl5cHFxgYuLi6LgHKSBsaGhoUINj7dv36J///6Ij49npkFPTw93794t9167/9fefUdFcf1tAH8WUBGkiJUYC/aOKBbU2NAYNXbFXrDGnoDlNWqwG1FQEmMsLEawxBoVjQ2NJioqKsWKiGBXhKCAoMgy7x/8mLCKhQT2DuzzOYeT3dlx53EiO3vn3vu91avj5s2bOsvypszeaNFzNJTAwsICDRo0gIuLC7p06QIjIyNUrlxZaDlrJXF2dkZcXBxGjhwJIKP3ysrKSq/XmBJOolzRqFEjKSwsLNvXPv30Ux2nkaRWrVpJkiRJlpaWUvHixeWfzOci2NnZfdQ2Uo5evXqJjiA1btxYunnzpvw8PDxcsre312mG9PR06ciRI1L//v2l6tWrS25ubtLDhw91muFdFi9eLDqCllOnTkmNGzeWDA0NRUdRBB8fH6ly5cqSm5ub5ObmJlWpUkXy9fXVaYaqVatKKSkpb21PTk6WqlSpotMsmdauXSvFxcXJz2NjY6V169YJyaIUQ4cOlaysrKR+/fpJR44ckSRJkmxsbASnyqCEa0GNGjWk9PR0+XlaWppUo0YNgYkyKOHciMKJ1blEaV1cWSuDBAcHyz+Zz3UpJiYGYWFhSElJweXLlxEWFoawsDD89ddfePHihU6zKJG/v79cxnT58uXo06cPrly5IjhVhqioKNER4ObmhpYtW2L48OEYPnw4WrdujQULFug0g0qlQocOHbB161Z4enpi9erVihl6sWPHDtERAGSsU7Fy5UqMGzcOT548wezZs0VHUgRnZ2eo1WokJycjOTkZGzZswJAhQ3SaoVevXhgyZIhWj3h8fDyGDh2K3r176zRLptWrV2stlFiiRAm9H966ceNGREdHo127dpg9ezYqVKiAZ8+eISIiQnQ0RVwLSpQogZSUFPn5q1evULJkSYGJMijh3IjC4UwFmEajQceOHeUKHKJ4eXlh5cqVePjwIT755BN5u4WFBSZNmiR3Teqr+vXrIywsDKGhoRg2bBjGjRuHTZs2yYswiaSUGuURERE4evQoAKBjx46oUqWKTo//9OlTbNy4ERs3bkT58uUxfPhw9OjRA4ULF9ZpjuyI/H+Unp6OgwcPQq1WIyAgAJ07d5aHfOljpZKPERcXBz8/P3z99dc6O+br168xbNgw7Nu3D9WqVQOQ8TvVtWtX+Pr6olChQjrLksnW1vatIV2Zn4WU4fLly1Cr1di8eTMqVaqkNTdM10R+zvzwww8AgNDQUJw/fx5OTk4AgJ07d6Jx48bCJzQr5TopAhsReUgJq9o2b94cp06dElJS8E0LFizAnDlzRMdQnMzFuZYtWwZTU1OMHz9eMQt2PX/+HBYWFqJjaMm8sK5cuVInx+vZsydu3ryJwYMHY9iwYVoNYSU4duyYsIpI1tbWKF26NEaMGIHBgwcrYsVspTp8+DDUajUOHTqEzz//XEgZ51u3bslfduzs7LJdHFVXvvjiC4wYMUL+Qrht2zb4+Pjg8OHDwjIpVWpqKvbu3Yu+ffsKyyDyWuDs7PzO11QqlfA5EUq8TuoKGxF5SAlfBKdMmYKIiAgMHjxYa+KaLivKvOn27dvYt28fqlatqndLxGfH1tYW69atw5QpU7BhwwbUqlVLyIrVSipl+qbExERs2bIFarUaDx48wIABA3S2HoGBgYF8gRC98nB2JVVFCgoKQuPGjUXHUKw7d+5ArVZj48aNKF26NKKjo3Hr1i29/cKR1Y0bN9C9e3e5UpWJiQn27t0r95Too3nz5mH27NlvFWiJiYnB2LFjdVaeXcnXAtF4brSxEZGHlNDF1bZt27e2qVQqHD9+XGcZ2rdvj+XLl6NBgwZ4+PAh6tati6ZNmyIqKgrOzs6YMWOGzrIokb+/P+bMmQNHR0d4eHggPDwc3377rc57sQwMDN5bylSX/2Yy/fnnn/D29sb+/fvh6OiIU6dO4eHDhzodKnPnzp33vl6xYkUdJQF+++03+Pj44MSJE4ooqZo5zOBdJk+erKMkytOhQweEhYVh4MCBGDFiBOrVqwcbGxu9Hj/9Jo1Gg/DwcABAjRo1sq1uqE+cnJwQGRkJX19f1KlTBwCwZcsWuLq6YsKECTqbZ6S0a4GSvrgr7dyIxkZEHtLnLq6satWqhevXrwPImDh8+vRp/Pbbb4iPj0fr1q05BlYhlFbKtHr16ihSpAhGjRolD5VR2pewFy9ewNTUVOfHVUpJ1azDDPz9/dG1a1f5uRKGGYhkY2OD4sWLY8yYMRg0aBDMzMxYrpM+aPPmzZg2bRrGjRuHkJAQREdHY8OGDTotha60a0F2N0Mz6fqLu9LOjWhsROQSJbWUs0pLS4OXlxciIyOxevVqREZG4s6dO2jXrp3OMmQd1tWrVy906tQJo0ePfus1fTV//vxst3/33Xc6TpIxRCcgIAA+Pj64dOkSBgwYgLFjx8La2lrnWVq3bo1bt25hyJAhGDlyJKpVqybkS5iDg4O82NOQIUPg5+cnv6aEf7+nT5/GN998g0uXLiEtLU1YDiX0vCrNsWPHoFarcfjwYXTq1AnHjx/Hw4cPRccihVu1ahUmT56M8uXLIzg4WKuKla4o6VqgNDw3/+CK1blESavaZjVx4kRoNBqcOnUKQEaJtH79+ulstV8go/vv/v37sLS0xMmTJ/H999/LryUnJ+ssh1IlJibKj1++fInff/8dDg4OQrJkljLt0KEDDhw4AGdnZ5iammLatGk6z3Ly5EncunULPj4+aNOmDWxsbJCUlITExESYmZnpLMfLly/lx28u2CXyHkxmlR8fHx88f/5ceElVVmN6m6OjIxwdHREfH4/Nmzfj6tWrKF++PAYMGAB3d3fR8UhhEhISMGHCBISFheHMmTPYvXs37O3tsW7dOp0PW1TStSCzBPq7mJub6yhJBiWdG+F0uipFAfbdd99J1atXl/r37y8vEqMEtra2kiRJUoMGDeRt9evX12mGXbt2SSVLlpTKli0r9e7dW95++vRpqWPHjjrNkh/ExsZKX375pZBjx8TESMuWLZPq1q0rderUSdq2bZv06tUrIVmy0mg0kr+/v9SjRw/JzMxM6tOnj86OnfV3J+tjSdL9YokajUbav3+/1LNnT8nMzEzq16+fdPjwYa0FmEThwpEf58KFC9L48eNFxyAFqlChgjRz5kwpNTVV3nbq1CmpWrVq0ldffaXTLEq6FqhUKsnAwEBSqVRv/RgYGOg8j5LOjWjsicgl8+bNw9y5c+UurokTJyqii8vY2FjruUajQXp6uk4z9OrVC82bN8eTJ0+0xnVWqlQJ69at02mW/KBEiRJCxk1nLWV6+PBhRZUyNTAwwJdffokvv/wST548ga+vr86OnfUOu+i77eXKlZNLqq5fv154SdWswzifP3/+1rBOfatU8jEaNWqERo0aiY6hCNu3b0dISIhWb5+np6fARGJt374dTZs21drWokULBAcH67QAidKuBbr+zvI+Sjs3onFORB7J7OKaNm2a0C6uMWPGoFWrVli2bBl27dqFpUuXwtjYGD/++KOwTKQta4UbjUaD8+fPIyYmBseOHdNpDiWVMgWA2NjYD65G+jH7/FeGhobyeUlISJC7ziVJQlJSEl6/fp2nx89KaSVVlTThUWmaNGmC8+fP/+d9CqrJkycjKioKFy9exIABA7Bjxw506NABarVadDRFiIuLAwAhNwqUdi3IztGjR4VMas4P50aX2IjIRUpc1TYpKQmurq7Ys2cPgIy5G56enjqtKNOjRw/5+P9ln4Iqa4UbIyMjVK1aFWPGjNH5OgBKKmUKfNykZV1MbFbSeWFJ1fzD0tLygwUsQkJC9LZaU7169RAaGgo7OzuEhobi8ePHGDZsmN4vNrdhwwbMnTsX9+/fBwCUL18e3333HUaMGKGzDEr6zHsXUUUt8sO50SUOZ8olSu3iKlasGNauXYu1a9cKy3DmzBm4uLi8d583J6zqkw0bNoiOAOD9H34vXrzQYZIMN27cQMOGDd+7T+bdurz0f//3f9i6dWueH+djZK1+lF1JVdG4kOQ/vLy8PrhP//79dZBEmYyNjWFgYACVSoXXr1+jbNmyel+5ytfXF8uWLcOaNWvk4hpnzpzB1KlTYWhoiGHDhukkh9KuBdkRdf87P5wbXWJPRC5RchfXuXPnEBkZqVX+cejQoTo7/rx58z64T7FixeDq6qqDNMrj5uaGyZMny93WsbGx+Omnn+Dm5qbTHEorZXry5MkP7lO4cOE8r2Sl1NKlSsjFhSTp32rXrh3279+P6dOn4+nTpyhbtizOnj2Lc+fOiY4mjK2tLfz9/VGhQgWt7dHR0ejWrZvO1lRS2rUgO0uXLhXy+ZIfzo0usScilyhpAaysxo0bh8OHD6NBgwbyaqAqlUqnjQhdfxnOb/bu3avV0CpZsiT27t2r8/OmtFKmrVu31vkxs6OEO/zZUUKuBw8eoEGDBgAyVtZt3bq11kKSbETQu2zduhWGhoZYtmwZPD09ER8fj507d4qOJVRaWtpLH0b+AAAgAElEQVRbDQggowiJRqPRWQ6lXQuyI+qzJT+cG11iIyKXKLWLKyAgANeuXXurShMpR3aVJ1JTUwUk+cebH4ZK+MIqSlhYWLaLPSmhl1G0okWLyo/PnDmDzp07AwCKFy8OIyNeXujdypQpIz+eNWuWwCTKkZqaipcvX751vU5JScGrV6+EZFLKtSAyMhLr16/H8ePHcf/+fRQtWhS2trbo06cPnJychHzeKOXciMRP+Vzyvi6uzz77TFgXl7W1NYoUKSLk2PRxatSoAXd3d7i6ukKSJHh4eKBmzZo6z6GkUqZKUqNGDfz++++iYwBQXklVLiRJOeXq6goPDw/07Nkz28+Z3bt3C0ilDL169cKQIUOwfv16WFpaAgDi4+MxZswY9OrVS2c5lHYtGDt2LC5duoS+ffvCw8MDZcuWxcuXL3H9+nUcOnQI7u7uWLNmDZo1a5bnWZR2bkRjIyKXKK2LK/PLRdOmTdGnTx/069dP6+4G67crh5eXFwYPHozZs2dDpVKhVatWOl0HIVNoaKh8xz0hIUF+nFnKVF8VKVJEMRU3VqxYIT+uUKGC1nOVSqXz3+tvv/0WdnZ2MDIyQtu2bVG9enUAGb0SlSpV0mkWpQoJCUF0dDSMjIxQu3ZtVK5cWXQkodq0aQMgoyIfaVu4cCGGDRuGTz/9FNWqVQMAREREoGvXrli0aJHOcijtWtCtW7dsi8PUq1cPTk5OiIuLQ2RkpE6yKO3ciMaJ1bkk6yTHNyc8iphso/T67enp6Thw4ADUarXelnZ9U+awN12W381KaaXr5s6di7lz5wIQuz6CEiYwK9njx4/lhSQz78w9fPjwneO79UVYWBgGDRqEu3fvIikpCbVr18aDBw/g6OgItVotrzdC9KZbt25pfZ+oWrWqTo+vtGuBkvDcaGMjIpdkbSi82WjQxxn77xIREQG1Wg0/Pz9UqFABAwcOxKRJk0THEmrdunXo06ePfEcjLi4Ou3fvxujRo3WaY8CAAYopZQq8/3eKMrCkqnI1b94c7u7uaNmyJfbt24eAgAAsX74c8+fPx71797Bx40bREYV69uwZ1q5d+1blQB8fH4GpCFDetSCzZ75o0aLo27ev0CxKOzeiGYgOUFBkdnFZWVnJEzGtrKxQvHhxXL58WViudevWaU38jIuLw/r163WaISUlBb6+vmjVqhVat24NjUYDAwMDBAYG6n0DAgBWr16tNXG3RIkSWL16tc5z3LhxQ+fHfJ+s9zd4ryND+/btERISAiDjbr+9vT0OHz6MqVOnYunSpYLTUVbJyclo2bIlgIzhGIGBgShcuDAWLlwoz5/TZ3369EFISAjq1q2LRo0ayT8kntKuBVFRUYiKisK9e/dER1HcuRGNcyJyiVJXHV29ejXGjBkjP8/8gqrLu9xly5ZFgwYN4Orqii5dusDIyAi7du3S2fGVLrsvyLos55dJaZPE0tPTkZiYCEmStB5n0sfhICypmn8UKlQIN27cQM2aNXH27FmtYYqZ5bb12aNHjxAQECA6BmVDadcCJZWJV9q5EY2NiFyipFVts1LCF9QePXpg//792Lp1K0xMTNChQwedHl/prK2tsX37djg5OQEAtm3bBmtra53nUFop08uXL8PS0lL+N2xhYQGVSiXnEdHQEo0lVfOPBQsWoGXLlihZsiTi4uLkNRAeP36Mzz77THA68apUqYJnz57JVYhIOZR2Lbh79y5Kly4NY2NjSJKEn3/+GWfPnoWtrS2mTJmi088+pZ0b0TgnIpcodfLlF198gREjRmh9QfXx8cHhw4d1miMxMRFbt26FWq3Go0ePkJSUhHPnzskVKPTZjRs30L17d7kOuImJCfbu3avzc1OnTp33ljLVtwljSmRvb489e/bA0tISFStWRGBgoFwRqWbNmuxqV5hnz54hMjIS1apV08ues+y4uLgAyBiOd/78eXzxxRdalQM9PT1FRaP/Udq1oH79+ggMDISpqSm+++47nDlzBr169cKRI0dQrlw5/PTTTzrLorRzIxpvXeUSpXZxrVixAj169MD06dMB/PMFVdfMzMwwZswYjBkzBpcvX4ZarUbz5s1RqVIlBAUF6TyPktSsWRPXrl1DeHg4gIx1CUQMd1BSKdM3PXr0COHh4WjTpg3S0tKQnp6OwoULi46lcyypmr9YWlrK4/yfPn2Ky5cvo1atWkJ6GpXCwsJC/m+tWrUEp6HsKO1aIEmSPBzwwIED+Ouvv2BiYoIxY8agYcOGOs2itHMjGnsicomRkVG2d5qU0MWl0WiEf0HNzuvXr7Fnzx7h1RaU4Pz58/L44M8//xz29vY6z6DU3rSdO3fC1dUVKpUK0dHRCA0NxcyZMxWzAJyusaRq/jB06FAsX74cpUuXxvHjx9GvXz/Y2NggOjoa69at4zoJpFhKuxbUr18fR48eRZkyZdCmTRscOXIEhQsXhiRJqFOnDq5du6azLEo7N6KxEZFLlNrFFRQUhDp16sDExATbt2/H+fPn4eLigk8++UTnWd61gNrQoUN1nERZ1q1bh4ULF6JXr15QqVTYvXs35syZg1GjRomOpgiNGjXCkSNH0L59e/nDu06dOm8t6kikJLa2tggNDQUAtG7dGl5eXmjQoAGioqLQq1cvvf8iMmrUKCxduhQlSpQAAMTGxmLWrFnZLipG+m3Xrl2YM2cOXFxccOfOHYSEhKB3797ycKZly5aJjqi3OJwplyi1i2vUqFG4dOkSIiIiMGvWLPTp0wfOzs46nxMBAP7+/vLjly9f4tSpU2jWrJneNyJWrVqFixcvolSpUgAyhqw4OjqyEfE/hoaG8heNTPo4lInyl5SUFPlxcnKyXFXLxsZGL4sCvOnixYtav9clS5bU+6GtlL3evXujcuXK8PT0xLVr15CWloZdu3Zh4MCB6N+/v+h4eo2NiFyi1A4dQ0NDGBoa4uDBgxg3bhxcXFxgZ2cnJMuOHTu0nkdFRWHWrFlCsihNZgPizceUMZ/myZMn8tCdY8eOZVsdg0hJOnbsiClTpmDRokVo3749Nm/ejIEDB+LQoUMoWbKk6HjCZV1gDsi4hqampgpKQ0pnZ2cHPz8/0THoDVxsLpcotWv61atXePLkCfz9/dGmTRsAYtYgyI6NjQ2HpACoVq0aZs2ahbt37+Lu3buYM2cOq1ZlsXTpUnTq1Am3b99Gy5YtMXToUHh4eIiORfReHh4eMDAwQLly5fDrr79iyJAhKFy4MLy8vKBWq0XHE65Zs2aYOHEi7ty5g+joaEyaNAnNmjUTHYsU6Ny5c+99PSUlRafzIugfnBNRwHl7e2Pq1Klo3749du7cicjISIwYMQInT57UeZZ9+/bJjzUaDc6dO4fjx4/j/PnzOs+iJE+fPsWkSZMQEBAAlUqF9u3bw8vLC6VLlxYdTTGeP3+OM2fOQJIkNG/enLXlKd9ITk5GZGSkPPH9zaF5+iohIQFTpkzBgQMHoFKp0K1bN3h6esLMzEx0NFIYJycnxMfHY+DAgWjatCnKlCmDly9fIjw8HIcOHcKRI0ewYsUKtG3bVnRUvcNGhJ7RaDTQaDRCxpRn/QU3MjJC1apVMX36dNjY2Og8CxGRrm3cuBHDhg0THYMo3wkKCsLatWtx4sQJ3L9/H6ampqhfvz569+4NZ2dnrRXhSXfYiCiglixZgpkzZwLImIuQtYyqq6srh4MoiJubGyZPnqxVpeSnn36Cm5ub4GRiGRgYvHf9FaUMyyP6WA0bNsSlS5dExxDq5MmTaN26tVbPdFbdunXTcSIi+rfYiCigsl6s3rxwibyQPXr0CFFRUVqT6lq1aiUki1I0aNAAISEhWtv4ZQN48eIFJEnCypUrkZKSgnHjxgEA1qxZg6JFi3JSPuU7rDEPjB49GuvXr8926IlKpcLx48cFpCIlu3r1Kh4+fIgOHTpobQ8ICEC5cuW4aKFArM5UQGVtG77ZThTVbly0aBGWLVuGypUrywveqVQqvZ8TkZ6e/tY2VimB3D3922+/4eLFi/L2hQsXolGjRmxEUL7j4uIiOoJw69evR3p6OpYsWcKJ1PRRvv32W8ydO/et7SVLlsTMmTOxZ88e3YciAKzOVGBlHQby5pCQ9w0RyUs+Pj6IjIzEpUuXEBQUhKCgIL1vQAAZq4i7u7tDo9EgLS0NS5cuRc2aNUXHUozExETExMTIz2NiYpCYmCgwEdG/M2jQIPj7++v9atUGBgYYO3as6BiUTzx8+DDb0vQNGjRAZGSkgESUiT0RBdT9+/flu15ZH0uShAcPHgjJVKZMGVYmyYaXlxcGDx6M2bNnQ6VSoVWrVqyHnYWrqytsbW3RuXNnAMChQ4eyvStFpFQRERFQq9Xw8/NDhQoVMHDgQNGRhKtWrRpu3bqFqlWrio5CCpeUlPTO195cb4R0i3MiCqh58+a993URk3bd3Nzw/PlzDBw4EMbGxvL2+vXr6zyLEr148QIAWGUiG1euXMEff/wBAGjXrh3q1KkjOBHR+6WkpGDHjh3w9vbGrVu3MGjQIPz666+4d++e6GiK0K5dO5w/fx7NmzdHsWLF5O27d+8WmIqUqHHjxti0aRNq1KihtT08PByDBg3ChQsXBCUjNiJIZ7Ir5apSqXD79m0BaZRlx44dOHr0KICMlW579+4tOBER/RcWFhZo0KABXFxc0KVLFxgZGaFy5cr8vPufjRs3ZrudJXDpTdu2bYObmxu8vLzkeTSBgYFwcXHBd999h/79+wtOqL84nKmACgsL++Ad/o/ZJzdFRUXp7Fj5yfz587Fnzx4MHToUKpUKS5YswfXr1zF79mzR0RQhJiYGbm5uCA0NxcuXL+Xt+l69ipStR48e2L9/P7Zu3QoTE5O3Ksvou8zGwqtXr1CkSBHBaUjJ+vXrh+TkZIwZMwb3798HAHz66adwc3NjA0Iw9kQUUB9TIlRXZUQTEhLe+7q5uXmeZ1Cy+vXr4+zZszAxMQGQMazJwcEBYWFhgpMpQ9euXdGyZUuo1Wp4eHhg7dq1sLOzw4IFC0RHI3qvxMREbN26FWq1Go8ePUJSUhLOnTuHatWqiY4m3OXLlzFgwAA8e/YM9+/fx8WLF7Ft2za4u7uLjkYK9vTpUwBAqVKlAGTMiTAy4v1wUdiIKKAMDQ1hYWHxztclSYKpqancqs9LmYuGZfdPTaVS6f2iYfXq1cPly5c/uE1fZa6jkXlOUlNT0bp1awQGBoqORvTRLl++DLVajc2bN6NSpUoICgoSHUmoNm3aYOHChZg0aRKCg4MhSRLq1q2Lq1evio5G+cC1a9fg7e2NzZs348mTJ6Lj6C023wqojxl3m7lWQ17Lbh0E+keTJk0wZMgQjB49GgCgVqvRpEkTwamUo3DhwgAAY2NjxMXFoXjx4oiNjRWciihn6tWrh5UrV8Ld3R179+4VHUe4pKQktGzZUn6uUqnk33Wi7CQlJeHXX3+Ft7c3goOD4eLigoCAANGx9BrXiSigKlas+MGfTz/9VHRMAvDDDz/gk08+gYuLC1xcXGBtbY0ffvhBdCzFqF69OuLi4jB48GA0bdoU9vb2aNSokehYRO81b968bHtZnz17hi1btghIpCxGRkZ4/fq1vG7RvXv3dHZji/KX06dPY8SIEShfvjwOHTqEOXPmwNraGkuWLEG9evVEx9NrHM5ERPnG6dOnER8fjy+++ILjYEnRnJycEBkZCV9fX7kk8ZYtW+Dq6ooJEybofeGETZs2YevWrQgLC8OwYcOwadMmuLu7w8nJSXQ0UhgDAwO0b98evr6+KFu2LACw0plCsBFBJMiHehsmT56soyRElBc2b96MadOmYdy4cQgJCUF0dDQ2bNjAtXH+58yZM9i7dy8kSUK3bt20hjcRZdqwYQN8fHwQHR2NoUOHYvjw4ejYsSMbEQrARoQeevr0qVzZgMRxdnZ+52sqlQo+Pj46TENEeWHVqlWYPHkyypcvj+DgYFhZWYmORJQvhYeHw8fHB76+vnj+/Dm8vLzQp08fFC9eXHQ0vcVGhJ6QJAkHDx6Et7c3jh49isTERNGRiIgKrISEBEyYMAFhYWFYu3Ytdu/ejZ07d2LdunVo37696HjCRUdHY+nSpYiMjERaWpq8/fjx4wJTUX6g0Wjg7+8PHx8fHD9+HElJSaIj6S02Igq427dvw8fHB7/88gvi4uKwcuVK9O3bl3fDFMTBwQGTJk1C3759UahQIdFxiCgXVKxYEYMGDcK8efPk3+vTp0/D2dkZjo6O+PnnnwUnFKtJkyZwdHSEg4OD1oTqLl26CExF+UlaWhp27NiBAQMGiI6it9iIKKA2b94MtVqNq1evYsiQIRg+fDi6du3KVaMV6MiRI1i9ejWCgoIwYsQIfPXVVyhXrpzoWET0H5w7dw5NmzZ9a/uLFy8wY8YMrFq1SkAq5ahfvz4X1KR/JTw8HGq1Gn5+fihXrhwuXLggOpLeYiOigMqsZrBp0yaULl0aAKsZKN3du3exZs0a/PLLL2jRogW+/vprtGjRQnQsIvqP4uLiAAAlSpQQnEQ5Bg4ciO+//x4VKlQQHYXygeTkZGzbtg1qtRq3b99GSkoKAgMDUbNmTdHR9BrXiSigjh07hjJlyqBWrVoYNGgQAgICsl0xmpQjPj4eT548gYGBAaytrTFx4kRMnDhRdCwi+pc2bNiAihUronTp0ihdujQqVaqk9wUTevbsiV69euHp06ewtbVF586d0atXL/mH6E2jR49G+fLlsW/fPsyYMQN3796FpaUlGxAKwJ6IAu758+fYsmUL1Go1wsLCMHXqVAwaNEiuW07i/frrr/jxxx+RkJCAyZMnY/DgwShatCg0Gg2qVq3KIWhE+ZCvry++//57eHh4wMHBAUBGSdOpU6dixowZGDZsmOCEYmzcuPG9r+vreaF3MzMzg729PWbMmIGOHTtCpVJxZIVCsBGhR0JDQ+Ht7Y2tW7ciNjZWdBz6n65du2LKlCnZVmzx9/dH165dBaQiov/C1tYW/v7+bw3XiY6ORrdu3TgfgOgjJSUlyUOZ7t+/j6FDh2Ljxo24d++e6Gh6j42IAu7Vq1coUqSI1raHDx/ik08+EZSIiKjgq1OnDq5evZrj1/RF586d4efnJ88TiY2NxfDhw7F//37ByUjJrl27Bh8fH/j5+aFKlSoYPHgwxo8fLzqW3uKciAKuWbNmiIyMlJ8HBgaiVatWAhPRm6KjozFu3Dh8/vnnaNeunfxDRPlXamoqXr58+db2lJQUvHr1SkAiZXn48KHWRPOSJUvi4cOHAhNRflC7dm0sX74cDx48gKurKw4cOCA6kl4zEh2A8tasWbPQtm1bLFu2TK7+s2nTJtGxKAsnJyc4Ojpi4sSJWvXSiSj/6tWrF4YMGYL169fD0tISQEbxhDFjxnACMTIWDEtLS4ORUcbXkNTUVKSmpgpORfmFkZERevfujd69e4uOotc4nEkPBAUFoXnz5ihdujRCQ0NRsmRJ0ZEoC9ZLJyp4Xr9+jWHDhmHfvn2oVq0aACAiIgJdu3aFr6+v3i8sOX36dERERGDKlCkAAC8vL1SrVg3u7u6CkxHRx2IjooA7f/48Bg0ahBEjRiA4OBjPnj3Dli1b2JBQENZLJyq4bt26heDgYACAnZ0dqlatKjiRMrx+/RqLFy+Wh6N069YNM2bM0PvGFVF+wkZEAWdjYwM/Pz+0bNkSALBq1Sp4enqyNJoC9OzZEyqVComJibhw4QIcHBxgbGwsv757926B6YiIiIjejY2IAi42NvatXofg4GDY2dkJSkSZWC+diPTVd999BxcXF1hYWODLL7/EuXPnsHbtWo5xJ8pH2IjQA2fPnkVAQABUKhXat2+Ppk2bio5E2cj8VVSpVIKTEBHlLVtbW4SGhuLo0aNYtWoV3N3d0b9/f3noFxEpH0u8FnDLly9Hv379EBcXh9jYWPTr1w+enp6iY1EWd+/eRceOHVG0aFEULVoUnTp1wt27d0XHIiLKMwYGGV8/Tp48ib59+6JGjRq8gUKUz7AnooCrXr06AgMD5Xrcf//9N5o1a4abN28KTkaZ2rRpgy5dumDMmDGQJAne3t7Yv38/Tpw4IToaEVGeaNmyJbp27Yr169fj9OnTKF26NOrVq4crV66IjkZEH4k9EQWcubm51oI+VlZWMDc3F5iI3vT06VNMmzYNFhYWsLS0xNSpUxEbGys6FhFRnvnll1/w6NEjuLu7o0yZMoiMjMTgwYNFxyKiHGBPRAE3ffp0xMTEYOTIkQAyPrhLlSqFgQMHAshYo4DE6t69O5YtW4bq1asDAG7evIkZM2bgt99+E5yMiEh3Xrx4AVNTU9ExiOgjsRFRwNnY2LzzNZVKxVKvCuDo6IgzZ86gefPmAIDAwEA0b95c7jFiqVciKigcHBwQGBgIABgyZAj8/Pzk1xo2bIhLly6JikZEOWQkOgDlraioKNER6AOGDh2KoUOHaj0nIiqIXr58KT++evWq1mu8p0mUv7ARUcD5+/vjs88+g6WlJQAgPj4eZ86cQZcuXQQno0xcD4KI9NGbjQZWZyLKX9iIKODmzJmDkJAQ+bmlpSXmzJnDRoTCbN++HSEhIVp36ViKl4gKmqwNBTYaiPI3NiL0jEqlgkajER2Dspg8eTKioqJw8eJFDBgwADt27ECHDh1ExyIiynVhYWGwsrICACQkJMiPJUlCUlKSyGhElENsRBRwZmZmWpN2T58+DTMzM8GpKKs//vgDoaGhsLOzg4eHB6ZNm8YhTkRUIEVGRoqOQES5hI2IAs7d3R09e/ZEzZo1AQAREREsHaowxsbGMDAwgEqlwuvXr1G2bFk8fPhQdCwiolxXsWJF0RGIKJewEVHAOTg44Pr163JJvebNm8uTrEkZzMzMkJycjJYtW2Lw4MEoW7YsTExMRMciIsp1CxcuxOzZs//zPkQkHteJIBLsyZMnKF68ODQaDTw9PREfH4+vv/4an376qehoRES5qkqVKli5cuV7y7nOnDnzrfKvRKQ8bEQQCebj44MRI0Z8cBsRUX7Xpk2bD1ZlsrKywq5du3SUiIj+LTYiiATLbpXWRo0a4eLFi4ISEREREb0f50QQCXL+/HkEBgbi6dOn+OGHH+Ttz58/x6tXrwQmIyIiIno/NiKIBHn06BFCQkKQnJyM4OBgebu5uTl++eUXccGIiIiIPoDDmYgEO3jwIDp16iQ6BhEREdFHMxAdgEhfXbt2DbGxsXIDYseOHejRowemTp3KlVuJqEB6/Pix6AhElEvYiCASxNnZWZ77EBISgpEjR8LBwQGPHj3ClClTBKcjIsp9nTt3lh+PHDlSYBIi+q84J4JIkOTkZJQrVw4AsHPnTgwePBgzZsxAWloa7OzsBKcjIsp9WUdQZ50LRkT5D3siiAQxMvqnDX/u3Dm0bt1a3m5oaCgqFhFRnvnQGhFElH+wJ4JIECsrK+zbtw+ffPIJAgMDsWXLFgBAWloaS7wSUYF0//59uLi4vPU4k6enp4hYRPQvsBFBJIiXlxcGDBiABw8eYP78+ShVqhQAYP/+/WjcuLHgdEREuW/ChAnZPiai/IclXomIiEinYmNjUbJkyQ9uIyLl4pwIIkFiY2NzZR8iovzm888//6htRKRcbEQQCfIxF0xeVImoIElNTUVCQgI0Gg0SExORkJCAhIQE3Lt3Dy9evBAdj4hygHMiiAS5ceMGGjZs+N594uLidJSGiCjvLVmyBPPmzYNKpYKFhYW83dzcHK6urgKTEVFOcU4EkSAnT5784D6FCxeGg4ODDtIQEenOuHHj8PPPP4uOQUT/ARsRRERERESUIxzORERERDphYGDw3gXnNBqNDtMQ0X/BRgQRERHpRGJiIiRJwsqVK5GSkoJx48YBANasWYOiRYsKTkdEOcHhTEQKlJaWBiMjtvGJqGBq1KgRLl68+MFtRKRcLPFKpCDXrl2Di4sLypUrJzoKEVGeSUxMRExMjPw8JiYGiYmJAhMRUU6xEUEkWFJSEry9vdGsWTPY2dmhSJEiCAgIEB2LiCjPuLq6wtbWFiNHjsTIkSNhZ2eHadOmiY5FRDnA4UxEgpw+fRpqtRq//fYbHB0d4ezsjAkTJiA6Olp0NCKiPHflyhX88ccfAIB27dqhTp06ghMRUU6wEUEkiIGBAdq3bw9fX1+ULVsWAFC5cmXcvn1bcDIiIiKi9+NwJiJB1Go1UlJS0LhxY8yaNQsRERGiIxER6cSff/6JJk2awMrKCubm5jAzM4O5ubnoWESUA+yJIBIsPDwcPj4+8PX1xfPnz+Hl5YU+ffqgePHioqMREeWJGjVqYNGiRWjSpAkMDQ3l7SwqQZR/sBFBpBAajQb79++HWq3G8ePHkZSUJDoSEVGeaNy4MYKCgkTHIKL/gMOZiATSaDSYMWMGAMDQ0BDdu3fHvn37OLSJiAq03r17w8/PD6mpqaKjENG/xEYEkUCGhoZydZKsrK2tBaQhItKNWrVqYfz48ShatCgMDQ1hYGCgNayJiJSPw5mIBJs7dy4KFSoEZ2dnFCtWTN7OSYZEVFBVrlwZ3t7esLe312o8mJqaCkxFRDnBRgSRYAYG/3QIqlQqSJIElUoFjUYjMBURUd5p1qwZzp49KzoGEf0HbEQQERGRTi1evBjm5uZwcnKCsbGxvJ09sET5BxsRREREpFPsgSXK/zixmkiwzAmFWX+srKzQpUsXREdHi45HRJTr0tPT5R+NRiP/l4jyD/ZEEAm2cOFCpKWlYfTo0QAyVrJ+9eoVypQpgwMHDuDw4cOCExIRERFpYyOCSDB7e3tcuHAh221169bFlStXBCUjIiIiyh6HMxEJlpiYiKdPn8rPnz59isTERABAoUKFRMUiIiIieicj0QGI9J2LiwtsbW3RqVMnAMDhw4cxe/ZsJCUloUWLFoLTEREREb2Nw5mIFODKlSvyytVt27ZF3bp1BSciIiIiejc2IoiIiClcIIUAAApySURBVIiIKEc4J4JIsD///BNNmjSBlZUVzM3NYWZmxgWXiIiISNHYE0EkWI0aNbBo0SI0adIEhoaG8vZy5coJTEVERET0bpxYTSSYubk5+vTpIzoGERER0UfjcCYiwXr37g0/Pz+kpqaKjkJERET0UdiIIBKsVq1aGD9+PIoWLQpDQ0MYGBhoDWsiIiIiUhrOiSASrHLlyvD29oa9vb1W48HU1FRgKiIiIqJ345wIIsFKly6Ndu3aiY5BRERE9NHYE0Ek2OLFi2Fubg4nJycYGxvL21nmlYiIiJSKjQgiwQwM/pmapFKpIEkSVCoVNBqNwFRERERE78ZGBBERERER5QirMxERERERUY6wEUFERERERDnCRgQREREREeUIGxFERERERJQjbEQQEREREVGOsBFBRES5qlKlSlCpVFCpVHj27JnoODk2d+5cNGjQIE+Pkd/PERERGxFERPnM48ePMWXKFFStWhXGxsYoU6YMWrRogZ9//hnJycmi4wEA5s+fj0ePHsHCwkLeptFosGLFCtSrVw/GxsYoXrw4OnXqhNOnTwtM+rapU6fi2LFjeXqMoKAg7Nq1K0+PQUSUl4xEByAioo93+/ZttGjRApaWlli8eDHq1auHIkWK4PLly1i3bh3KlSuHbt26iY4JMzMzlC1bVn4uSRL69++PgIAALFu2DI6OjkhISMBPP/2ENm3aYMeOHejRo0e275WamorChQvrKjqKFSuGYsWK5ekxSpUqBSsrqzw9BhFRXmJPBBFRPjJ+/HgYGRnhwoULcHJyQq1atVC5cmV0794dBw4cQNeuXeV9nz17hlGjRqFUqVIwNzdHu3btEBoaKr+eOWzHz88PlSpVgoWFBfr374/ExER5n/T0dCxZsgQ2NjYoWrQobG1tsXPnzhzn3r59O3bu3AlfX1+MGjUKNjY2sLW1xbp169CtWzeMGjUKL1680Mrl7e0NGxsbGBsbAwASExMxaNAgmJqawtraGitWrECbNm3w9ddfy8fx8/ODvb293IgZOHAgYmJi5NdPnDgBlUqFY8eOwd7eHiYmJmjevDnCw8PfOi9Z/0yTJk1gamoKS0tLtGjRAnfu3NHa18fHBxUqVECxYsUwfvx4aDQauLu7o2zZsihdujQWLVqU43NGRKRkbEQQEeUTcXFxOHLkCCZMmABTU9Ns91GpVPLjvn37IiYmBgcPHsTFixfRsGFDODo64u+//5b3iYyMxJ49e7B//37s378fJ0+exPfffy+/vmTJEvj6+mLNmjW4evUqvvnmGwwePBgnT57MUfYtW7agevXqWo2cTK6uroiLi8PRo0flbbdu3cKuXbuwe/duhISEAABcXFxw+vRp7Nu3D0ePHsVff/2FS5cuab3X69evsWDBAoSGhmLPnj2Ijo7G8OHD3zrmrFmz4OHhgQsXLsDIyAgjRozINndaWhp69OiB1q1bIywsDIGBgRgzZozWeY6MjMTBgwdx6NAhbN26FWq1Gl26dMH9+/dx8uRJLF26FLNnz8a5c+dydM6IiBRNIiKifOHs2bMSAGn37t1a20uUKCGZmppKpqam0vTp0yVJkqS//vpLMjc3l16+fKm1b5UqVaS1a9dKkiRJbm5ukomJiZSQkCC/Pm3aNKlp06aSJEnSy5cvJRMTE+nMmTNa7zFy5EhpwIAB78xZsWJFacWKFVrbatasKXXv3j3b/f/++28JgLR06VI5V6FChaSYmBh5n4SEBKlQoULSjh075G3Pnj2TTExMpClTprwzS1BQkARASkxMlCRJkv744w8JgBQQECDvc+DAAQmAlJKSIh/f1tZWkiRJiouLkwBIJ06cyPb9szuHHTt2lCpVqiRpNBp5W40aNaQlS5Zo/dnMLPHx8e/MT0SkVJwTQUSUz50/fx7p6ekYNGgQXr16BQAIDQ1FUlISSpQoobVvSkoKIiMj5eeVKlWCmZmZ/Nza2loe/nPr1i0kJyejQ4cOWu+RmpoKOzu7HOeUJOmj961YsSJKlSolP799+zZev36NJk2ayNssLCxQo0YNrT938eJFzJ07F6GhoYiPj0d6ejoA4O7du6hdu7a8X/369eXH1tbWAICYmBhUqFBB6/2srKwwfPhwdOzYER06dED79u3h5OQk/xng7XNYpkwZGBoawsDAQGtb1mFVRET5HRsRRET5RNWqVaFSqbTG7wNA5cqVAQBFixaVtyUlJcHa2honTpx4630sLS3lx4UKFdJ6TaVSyV+8k5KSAAAHDhxAuXLltPYrUqRIjrJXr14d169fz/a1zO3Vq1eXt71ruNb7vHjxAh07dkTHjh2xefNmlCpVCnfv3kXHjh2RmpqqtW/Wv3fm0KTMv/ebNmzYgMmTJ+PQoUPYtm0bZs+ejaNHj6JZs2ZvvVfm+73vvBIRFQScE0FElE+UKFECHTp0wKpVq+RJyO/SsGFDPH78GEZGRqhatarWT8mSJT/qeLVr10aRIkVw9+7dt96jfPnyOcrev39/REREwN/f/63XPDw85L/bu1SuXBmFChVCUFCQvO358+e4efOm/PzGjRuIi4vD999/j88++ww1a9bMtbv/dnZ2mDlzJs6cOYO6detiy5YtufK+RET5FRsRRET5yOrVq5GWlgZ7e3ts27YN169fR3h4ODZt2oQbN27A0NAQANC+fXs4ODigR48eOHLkCKKjo3HmzBnMmjULFy5c+KhjmZmZYerUqfjmm2+wceNGREZG4tKlS/jxxx+xcePGHOXu378/evbsiWHDhkGtViM6OhphYWEYO3Ys9u3bB29v7/f2PpiZmWHYsGGYNm0a/vjjD1y9ehUjR46EgYGB3JNQoUIFFC5cGD/++CNu376Nffv2YcGCBTnK+aaoqCjMnDkTgYGBuHPnDo4cOYKIiAjUqlXrP70vEVF+x+FMRET5SJUqVRAcHIzFixdj5syZuH//PooUKYLatWtj6tSpGD9+PICM4TO///47Zs2aBWdnZzx9+hRly5ZFq1atUKZMmY8+3oIFC1CqVCksWbIEt2/fhqWlJRo2bIhvv/02R7lVKhW2b9+OlStXYsWKFRg/fjyMjY3h4OCAEydOoEWLFh98D09PT3z11Vf48ssvYW5ujunTp+PevXtyCdhSpUrhl19+wbfffosffvgBDRs2xPLly//TuhkmJia4ceMGNm7ciLi4OFhbW2PChAkYO3bsv35PIqKCQCXlZKYbERHRB1SqVAlff/211voNeeHFixcoV64cPDw8MHLkyDw9Vl44ceIE2rZti/j4eK15KkRE+QEbEURElKsqVaqER48eoVChQnjw4AEsLCxy5X2Dg4Nx48YNNGnSBM+fP8f8+fNx4sQJ3Lp166PneShFnTp1cPv2bbx8+ZKNCCLKlziciYiIctXJkyfx+vVrANAqfZobli9fjvDwcBQuXBiNGjXCX3/9le8aEADw+++/y+fI3NxccBoiopxjTwQREREREeUIqzMREREREVGOsBFBREREREQ5wkYEERERERHlCBsRRERERESUI2xEEBERERFRjrARQUREREREOcJGBBERERER5QgbEURERERElCP/D+PngnkVBOk2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('default')\n",
    "org_counts = mapped_aro_prevalence['Gene[Organism]'].value_counts().to_frame('counts')\n",
    "org_counts_top20 = org_counts.iloc[:20]\n",
    "org_counts_top20_plot = org_counts_top20.plot(kind='bar',color='red', width=0.3,legend=False, figsize=(9,5), fontsize=8)\n",
    "org_counts_top20_plot.set_xlabel(\"Gene [Organism]\",size=10)\n",
    "org_counts_top20_plot.set_ylabel(\"Number of hits\",size=10)\n",
    "org_counts_top20_plot.set_title(\"Genes in organisms with most number of hits - Top 20\",size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'AMR Gene Families with most number of hits - Top 20')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mapped_aro_prevalence['AMR Gene Family'].value_counts()\n",
    "plt.style.use('default')\n",
    "genefam_counts = mapped_aro_prevalence['AMR Gene Family'].value_counts().to_frame('counts')\n",
    "genefam_counts_top20 = genefam_counts.iloc[:20]\n",
    "genefam_counts_top20_plot = genefam_counts_top20.plot(kind='bar',color='red',width=0.3, legend=False, figsize=(9,5), fontsize=8)\n",
    "genefam_counts_top20_plot.set_xlabel(\"AMR Gene Family\",size=10)\n",
    "genefam_counts_top20_plot.set_ylabel(\"Number of hits\",size=10)\n",
    "genefam_counts_top20_plot.set_title(\"AMR Gene Families with most number of hits - Top 20\",size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:7: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "  import sys\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ERR1600430</th>\n",
       "      <th>ERR1600428</th>\n",
       "      <th>ERR1600427</th>\n",
       "      <th>ERR1600426</th>\n",
       "      <th>ERR1600429</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAC(3)-Ia [Pseudomonas aeruginosa]</th>\n",
       "      <td>3913.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>4862.0</td>\n",
       "      <td>975.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAC(6')-IIb [Pseudomonas fluorescens]</th>\n",
       "      <td>656.0</td>\n",
       "      <td>5394.0</td>\n",
       "      <td>628.0</td>\n",
       "      <td>2460.0</td>\n",
       "      <td>1434.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAC(6')-Ib [Klebsiella pneumoniae]</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAC(6')-Iu [Acinetobacter genomosp. 17BJ]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5038.0</td>\n",
       "      <td>422.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>342.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACT-29 [Enterobacter asburiae]</th>\n",
       "      <td>390.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMY-42 [Escherichia coli]</th>\n",
       "      <td>310.0</td>\n",
       "      <td>1515.0</td>\n",
       "      <td>745.0</td>\n",
       "      <td>1980.0</td>\n",
       "      <td>10825.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMY-48 [Citrobacter freundii]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>662.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMY-56 [Klebsiella pneumoniae]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10750.0</td>\n",
       "      <td>998.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>678.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CMY-70 [Citrobacter braakii]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>360.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FosA2 [Enterobacter cloacae]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>456.0</td>\n",
       "      <td>5544.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6696.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FosA5 [Escherichia coli]</th>\n",
       "      <td>18540.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>7074.0</td>\n",
       "      <td>20493.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IMP-47 [Klebsiella pneumoniae]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>4240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7496.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDM-6 [Escherichia coli]</th>\n",
       "      <td>2595.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>460.0</td>\n",
       "      <td>6555.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OXA-256 [Enterobacter cloacae]</th>\n",
       "      <td>12258.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>4884.0</td>\n",
       "      <td>4692.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OXA-426 [Acinetobacter baumannii]</th>\n",
       "      <td>28.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>2372.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OXA-69 [Acinetobacter baumannii AYE]</th>\n",
       "      <td>12742.0</td>\n",
       "      <td>1924.0</td>\n",
       "      <td>4870.0</td>\n",
       "      <td>7640.0</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OXA-90 [Acinetobacter baumannii]</th>\n",
       "      <td>114.0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>778.0</td>\n",
       "      <td>4770.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QnrB10 [Citrobacter freundii]</th>\n",
       "      <td>610.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>820.0</td>\n",
       "      <td>7230.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHV-105 [Klebsiella pneumoniae]</th>\n",
       "      <td>1791.0</td>\n",
       "      <td>3084.0</td>\n",
       "      <td>564.0</td>\n",
       "      <td>12858.0</td>\n",
       "      <td>8358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHV-12 [Escherichia coli]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>17604.0</td>\n",
       "      <td>1430.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1184.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHV-18 [Klebsiella pneumoniae]</th>\n",
       "      <td>19104.0</td>\n",
       "      <td>2901.0</td>\n",
       "      <td>7305.0</td>\n",
       "      <td>11457.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHV-182 [Klebsiella pneumoniae]</th>\n",
       "      <td>1716.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>526.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHV-42 [Klebsiella pneumoniae]</th>\n",
       "      <td>192.0</td>\n",
       "      <td>657.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1281.0</td>\n",
       "      <td>4731.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHV-79 [Klebsiella pneumoniae]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-116 [Staphylococcus aureus]</th>\n",
       "      <td>5920.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>6438.0</td>\n",
       "      <td>63566.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-132 [Klebsiella pneumoniae]</th>\n",
       "      <td>7596.0</td>\n",
       "      <td>1866.0</td>\n",
       "      <td>3588.0</td>\n",
       "      <td>2184.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-183 [Klebsiella pneumoniae]</th>\n",
       "      <td>2800.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>948.0</td>\n",
       "      <td>3702.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-198 [Klebsiella pneumoniae]</th>\n",
       "      <td>11960.0</td>\n",
       "      <td>1125.0</td>\n",
       "      <td>5585.0</td>\n",
       "      <td>18725.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-34 [Haemophilus parainfluenzae]</th>\n",
       "      <td>1624.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-47 [Klebsiella pneumoniae]</th>\n",
       "      <td>4308.0</td>\n",
       "      <td>498.0</td>\n",
       "      <td>4944.0</td>\n",
       "      <td>12876.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TEM-87 [Proteus mirabilis]</th>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VEB-3 [Enterobacter cloacae]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>808.0</td>\n",
       "      <td>556.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8808.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VEB-5 [Escherichia coli]</th>\n",
       "      <td>5682.0</td>\n",
       "      <td>648.0</td>\n",
       "      <td>2256.0</td>\n",
       "      <td>9960.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aadA23 [Salmonella enterica subsp. enterica serovar Agona]</th>\n",
       "      <td>12780.0</td>\n",
       "      <td>1359.0</td>\n",
       "      <td>2520.0</td>\n",
       "      <td>1818.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adeF [Acinetobacter baumannii SDF]</th>\n",
       "      <td>80614.0</td>\n",
       "      <td>5270.0</td>\n",
       "      <td>41548.0</td>\n",
       "      <td>18564.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arr-8 [Klebsiella oxytoca]</th>\n",
       "      <td>66.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>1592.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>catB3 [Enterobacter cloacae]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>catB9 [Vibrio cholerae]</th>\n",
       "      <td>104.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>958.0</td>\n",
       "      <td>4978.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cpxA [Escherichia coli O157:H7 str. Sakai]</th>\n",
       "      <td>79905.0</td>\n",
       "      <td>2814.0</td>\n",
       "      <td>26019.0</td>\n",
       "      <td>51303.0</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gadX [Escherichia coli str. K-12 substr. W3110]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2626.0</td>\n",
       "      <td>1807.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28626.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lnuA [Staphylococcus chromogenes]</th>\n",
       "      <td>6512.0</td>\n",
       "      <td>14542.0</td>\n",
       "      <td>3333.0</td>\n",
       "      <td>44044.0</td>\n",
       "      <td>47542.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mdtF [Escherichia coli str. K-12 substr. MG1655]</th>\n",
       "      <td>30823.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>15886.0</td>\n",
       "      <td>7098.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mdtP [Escherichia coli str. K-12 substr. W3110]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mgrA [Staphylococcus aureus subsp. aureus ED98]</th>\n",
       "      <td>18400.0</td>\n",
       "      <td>1384.0</td>\n",
       "      <td>4624.0</td>\n",
       "      <td>19296.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>msrE [Escherichia coli]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>350.0</td>\n",
       "      <td>4480.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6685.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vanRB [Enterococcus faecalis]</th>\n",
       "      <td>NaN</td>\n",
       "      <td>230.0</td>\n",
       "      <td>725.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>860.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    ERR1600430  ERR1600428  \\\n",
       "AAC(3)-Ia [Pseudomonas aeruginosa]                      3913.0       273.0   \n",
       "AAC(6')-IIb [Pseudomonas fluorescens]                    656.0      5394.0   \n",
       "AAC(6')-Ib [Klebsiella pneumoniae]                         1.0         NaN   \n",
       "AAC(6')-Iu [Acinetobacter genomosp. 17BJ]                  NaN      5038.0   \n",
       "ACT-29 [Enterobacter asburiae]                           390.0         NaN   \n",
       "CMY-42 [Escherichia coli]                                310.0      1515.0   \n",
       "CMY-48 [Citrobacter freundii]                              NaN        36.0   \n",
       "CMY-56 [Klebsiella pneumoniae]                             NaN     10750.0   \n",
       "CMY-70 [Citrobacter braakii]                               NaN       360.0   \n",
       "FosA2 [Enterobacter cloacae]                               NaN       456.0   \n",
       "FosA5 [Escherichia coli]                               18540.0        27.0   \n",
       "IMP-47 [Klebsiella pneumoniae]                             NaN       120.0   \n",
       "NDM-6 [Escherichia coli]                                2595.0         NaN   \n",
       "OXA-256 [Enterobacter cloacae]                         12258.0      1200.0   \n",
       "OXA-426 [Acinetobacter baumannii]                         28.0       252.0   \n",
       "OXA-69 [Acinetobacter baumannii AYE]                   12742.0      1924.0   \n",
       "OXA-90 [Acinetobacter baumannii]                         114.0       612.0   \n",
       "QnrB10 [Citrobacter freundii]                            610.0         NaN   \n",
       "SHV-105 [Klebsiella pneumoniae]                         1791.0      3084.0   \n",
       "SHV-12 [Escherichia coli]                                  NaN     17604.0   \n",
       "SHV-18 [Klebsiella pneumoniae]                         19104.0      2901.0   \n",
       "SHV-182 [Klebsiella pneumoniae]                         1716.0       212.0   \n",
       "SHV-42 [Klebsiella pneumoniae]                           192.0       657.0   \n",
       "SHV-79 [Klebsiella pneumoniae]                             NaN        45.0   \n",
       "TEM-116 [Staphylococcus aureus]                         5920.0        37.0   \n",
       "TEM-132 [Klebsiella pneumoniae]                         7596.0      1866.0   \n",
       "TEM-183 [Klebsiella pneumoniae]                         2800.0       290.0   \n",
       "TEM-198 [Klebsiella pneumoniae]                        11960.0      1125.0   \n",
       "TEM-34 [Haemophilus parainfluenzae]                     1624.0         NaN   \n",
       "TEM-47 [Klebsiella pneumoniae]                          4308.0       498.0   \n",
       "TEM-87 [Proteus mirabilis]                                 8.0         NaN   \n",
       "VEB-3 [Enterobacter cloacae]                               NaN       808.0   \n",
       "VEB-5 [Escherichia coli]                                5682.0       648.0   \n",
       "aadA23 [Salmonella enterica subsp. enterica ser...     12780.0      1359.0   \n",
       "adeF [Acinetobacter baumannii SDF]                     80614.0      5270.0   \n",
       "arr-8 [Klebsiella oxytoca]                                66.0       213.0   \n",
       "catB3 [Enterobacter cloacae]                               NaN        31.0   \n",
       "catB9 [Vibrio cholerae]                                  104.0       752.0   \n",
       "cpxA [Escherichia coli O157:H7 str. Sakai]             79905.0      2814.0   \n",
       "gadX [Escherichia coli str. K-12 substr. W3110]            NaN      2626.0   \n",
       "lnuA [Staphylococcus chromogenes]                       6512.0     14542.0   \n",
       "mdtF [Escherichia coli str. K-12 substr. MG1655]       30823.0      2015.0   \n",
       "mdtP [Escherichia coli str. K-12 substr. W3110]            NaN        22.0   \n",
       "mgrA [Staphylococcus aureus subsp. aureus ED98]        18400.0      1384.0   \n",
       "msrE [Escherichia coli]                                    NaN       350.0   \n",
       "vanRB [Enterococcus faecalis]                              NaN       230.0   \n",
       "\n",
       "                                                    ERR1600427  ERR1600426  \\\n",
       "AAC(3)-Ia [Pseudomonas aeruginosa]                      4862.0       975.0   \n",
       "AAC(6')-IIb [Pseudomonas fluorescens]                    628.0      2460.0   \n",
       "AAC(6')-Ib [Klebsiella pneumoniae]                       174.0        49.0   \n",
       "AAC(6')-Iu [Acinetobacter genomosp. 17BJ]                422.0         NaN   \n",
       "ACT-29 [Enterobacter asburiae]                            88.0        46.0   \n",
       "CMY-42 [Escherichia coli]                                745.0      1980.0   \n",
       "CMY-48 [Citrobacter freundii]                            400.0         NaN   \n",
       "CMY-56 [Klebsiella pneumoniae]                           998.0        12.0   \n",
       "CMY-70 [Citrobacter braakii]                             300.0       100.0   \n",
       "FosA2 [Enterobacter cloacae]                            5544.0         8.0   \n",
       "FosA5 [Escherichia coli]                                7074.0     20493.0   \n",
       "IMP-47 [Klebsiella pneumoniae]                          4240.0         NaN   \n",
       "NDM-6 [Escherichia coli]                                 460.0      6555.0   \n",
       "OXA-256 [Enterobacter cloacae]                          4884.0      4692.0   \n",
       "OXA-426 [Acinetobacter baumannii]                        112.0       160.0   \n",
       "OXA-69 [Acinetobacter baumannii AYE]                    4870.0      7640.0   \n",
       "OXA-90 [Acinetobacter baumannii]                         266.0       778.0   \n",
       "QnrB10 [Citrobacter freundii]                            820.0      7230.0   \n",
       "SHV-105 [Klebsiella pneumoniae]                          564.0     12858.0   \n",
       "SHV-12 [Escherichia coli]                               1430.0        12.0   \n",
       "SHV-18 [Klebsiella pneumoniae]                          7305.0     11457.0   \n",
       "SHV-182 [Klebsiella pneumoniae]                          526.0       286.0   \n",
       "SHV-42 [Klebsiella pneumoniae]                           330.0      1281.0   \n",
       "SHV-79 [Klebsiella pneumoniae]                             NaN         NaN   \n",
       "TEM-116 [Staphylococcus aureus]                         6438.0     63566.0   \n",
       "TEM-132 [Klebsiella pneumoniae]                         3588.0      2184.0   \n",
       "TEM-183 [Klebsiella pneumoniae]                          948.0      3702.0   \n",
       "TEM-198 [Klebsiella pneumoniae]                         5585.0     18725.0   \n",
       "TEM-34 [Haemophilus parainfluenzae]                      240.0         NaN   \n",
       "TEM-47 [Klebsiella pneumoniae]                          4944.0     12876.0   \n",
       "TEM-87 [Proteus mirabilis]                                 4.0         NaN   \n",
       "VEB-3 [Enterobacter cloacae]                             556.0         NaN   \n",
       "VEB-5 [Escherichia coli]                                2256.0      9960.0   \n",
       "aadA23 [Salmonella enterica subsp. enterica ser...      2520.0      1818.0   \n",
       "adeF [Acinetobacter baumannii SDF]                     41548.0     18564.0   \n",
       "arr-8 [Klebsiella oxytoca]                                82.0       496.0   \n",
       "catB3 [Enterobacter cloacae]                               NaN         NaN   \n",
       "catB9 [Vibrio cholerae]                                  328.0       958.0   \n",
       "cpxA [Escherichia coli O157:H7 str. Sakai]             26019.0     51303.0   \n",
       "gadX [Escherichia coli str. K-12 substr. W3110]         1807.0         NaN   \n",
       "lnuA [Staphylococcus chromogenes]                       3333.0     44044.0   \n",
       "mdtF [Escherichia coli str. K-12 substr. MG1655]       15886.0      7098.0   \n",
       "mdtP [Escherichia coli str. K-12 substr. W3110]            NaN         NaN   \n",
       "mgrA [Staphylococcus aureus subsp. aureus ED98]         4624.0     19296.0   \n",
       "msrE [Escherichia coli]                                 4480.0         NaN   \n",
       "vanRB [Enterococcus faecalis]                            725.0         5.0   \n",
       "\n",
       "                                                    ERR1600429  \n",
       "AAC(3)-Ia [Pseudomonas aeruginosa]                         NaN  \n",
       "AAC(6')-IIb [Pseudomonas fluorescens]                   1434.0  \n",
       "AAC(6')-Ib [Klebsiella pneumoniae]                         1.0  \n",
       "AAC(6')-Iu [Acinetobacter genomosp. 17BJ]                342.0  \n",
       "ACT-29 [Enterobacter asburiae]                             NaN  \n",
       "CMY-42 [Escherichia coli]                              10825.0  \n",
       "CMY-48 [Citrobacter freundii]                            662.0  \n",
       "CMY-56 [Klebsiella pneumoniae]                           678.0  \n",
       "CMY-70 [Citrobacter braakii]                               NaN  \n",
       "FosA2 [Enterobacter cloacae]                            6696.0  \n",
       "FosA5 [Escherichia coli]                                  18.0  \n",
       "IMP-47 [Klebsiella pneumoniae]                          7496.0  \n",
       "NDM-6 [Escherichia coli]                                   NaN  \n",
       "OXA-256 [Enterobacter cloacae]                             6.0  \n",
       "OXA-426 [Acinetobacter baumannii]                       2372.0  \n",
       "OXA-69 [Acinetobacter baumannii AYE]                      28.0  \n",
       "OXA-90 [Acinetobacter baumannii]                        4770.0  \n",
       "QnrB10 [Citrobacter freundii]                              NaN  \n",
       "SHV-105 [Klebsiella pneumoniae]                         8358.0  \n",
       "SHV-12 [Escherichia coli]                               1184.0  \n",
       "SHV-18 [Klebsiella pneumoniae]                            45.0  \n",
       "SHV-182 [Klebsiella pneumoniae]                            NaN  \n",
       "SHV-42 [Klebsiella pneumoniae]                          4731.0  \n",
       "SHV-79 [Klebsiella pneumoniae]                             NaN  \n",
       "TEM-116 [Staphylococcus aureus]                            NaN  \n",
       "TEM-132 [Klebsiella pneumoniae]                            NaN  \n",
       "TEM-183 [Klebsiella pneumoniae]                            NaN  \n",
       "TEM-198 [Klebsiella pneumoniae]                            NaN  \n",
       "TEM-34 [Haemophilus parainfluenzae]                        8.0  \n",
       "TEM-47 [Klebsiella pneumoniae]                            12.0  \n",
       "TEM-87 [Proteus mirabilis]                                 NaN  \n",
       "VEB-3 [Enterobacter cloacae]                            8808.0  \n",
       "VEB-5 [Escherichia coli]                                   NaN  \n",
       "aadA23 [Salmonella enterica subsp. enterica ser...         NaN  \n",
       "adeF [Acinetobacter baumannii SDF]                         NaN  \n",
       "arr-8 [Klebsiella oxytoca]                              1592.0  \n",
       "catB3 [Enterobacter cloacae]                               NaN  \n",
       "catB9 [Vibrio cholerae]                                 4978.0  \n",
       "cpxA [Escherichia coli O157:H7 str. Sakai]                63.0  \n",
       "gadX [Escherichia coli str. K-12 substr. W3110]        28626.0  \n",
       "lnuA [Staphylococcus chromogenes]                      47542.0  \n",
       "mdtF [Escherichia coli str. K-12 substr. MG1655]           NaN  \n",
       "mdtP [Escherichia coli str. K-12 substr. W3110]            NaN  \n",
       "mgrA [Staphylococcus aureus subsp. aureus ED98]            NaN  \n",
       "msrE [Escherichia coli]                                 6685.0  \n",
       "vanRB [Enterococcus faecalis]                            860.0  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import glob \n",
    "counts_table = pd.DataFrame()\n",
    "for file in glob.glob(\"*prev\"): \n",
    "    df = pd.read_csv(file,sep=\"\\t\",header=0)\n",
    "    df_counts = df['Gene[Organism]'].value_counts().to_frame(file.split(\".\")[0])\n",
    "    counts_table = pd.concat([counts_table, df_counts], axis=1, join='outer')\n",
    "    \n",
    "counts_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts_table_fillna = counts_table.fillna(value=0)\n",
    "import seaborn as sns\n",
    "g = sns.clustermap(counts_table_fillna)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}