gawbul · December 19, 2015 12:38
diff --git a/Microbial_Phylogenetics.ipynb b/Microbial_Phylogenetics.ipynb
 {
 "metadata": {
  "name": "Microbial_Phylogenetics"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Phylogenetic Analysis of Bacterial Shape\n",
      "<img src=\"http://mmbr.asm.org/content/70/3/660/F1.large.jpg\" alt=\"Young Bacterial Shape\" style=\"width: 480px;\"/>\n",
      "\n",
      "Image from Young, KD. 2006. The Selective Value of Bacterial Shape. Microbiology and Molecular Biology Reviews. 70(3): 660-703."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Get Sequences\n",
      "\n",
      "##Sequences for bacteria listed in:\n",
      "###Young, KD. 2006. The Selective Value of Bacterial Shape. Microbiology and Molecular Biology Reviews. 70(3): 660-703.\n",
      "(A) Stella strain IFAM1312 (380); (B) Microcyclus (a genus since renamed Ancylobacter) flavus (367); (C) Bifidobacterium bifidum; (D) Clostridium cocleatum; (E) Aquaspirillum autotrophicum; (F) Pyroditium abyssi (380); (G) Escherichia coli; (H) Bifidobacterium sp.; (I) transverse section of ratoon stunt-associated bacterium; (J) Planctomyces sp. (133); (K) Nocardia opaca; (L) Chain of ratoon stunt-associated bacteria; (M) Caulobacter sp. (380); (N) Spirochaeta halophila; (O) Prosthecobacter fusiformis; (P) Methanogenium cariaci; (Q) Arthrobacter globiformis growth cycle; (R) gram-negative Alphaproteobacteria from marine sponges (240); (S) Ancalomicrobium sp. (380); (T) Nevskia ramosa (133); (U) Rhodomicrobium vanniellii; (V) Streptomyces sp.; (W) Caryophanon latum; (X) Calothrix sp. The yellow-lined background orb represents a slice of the giant bacterium Thiomargarita namibiensis (290), which is represented to scale with the other organisms."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# import modules\n",
      "# standard python modules\n",
      "import sys, os\n",
      "from datetime import datetime\n",
      "from StringIO import StringIO\n",
      "# data analytics and statistics\n",
      "import pandas as pd\n",
      "import statsmodels as sm\n",
      "# biopython imports\n",
      "from Bio import AlignIO, Entrez, Phylo, SeqIO\n",
      "from Bio.Align import AlignInfo\n",
      "from Bio.Align.Applications import MafftCommandline\n",
      "from Bio.Phylo.Applications import RaxmlCommandline\n",
      "from Bio.SeqUtils import GC\n",
      "# cogent imports\n",
      "from cogent import DNA, LoadSeqs, LoadTree\n",
      "from cogent.draw import dendrogram\n",
      "from cogent.evolve.models import GTR"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/usr/local/Cellar/python/2.7.5/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pytz/__init__.py:35: UserWarning: Module argparse was already imported from /usr/local/Cellar/python/2.7.5/Frameworks/Python.framework/Versions/2.7/lib/python2.7/argparse.pyc, but /usr/local/lib/python2.7/site-packages is being added to sys.path\n",
        "  from pkg_resources import resource_stream\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# start time\n",
      "print str(datetime.now())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2013-07-09 12:21:11.210106\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Setup search terms\n",
      "# NO J, L, R available in Genbank\n",
      "# Replaced Microcyclus flavus with Microcyclus aquaticus\n",
      "taxa_dict = {\"Stella strain IFAM1312\": {\"search_term\": \"Stella[Orgn] AND strain AND 16S\", \"image\": \"images/bacterium_a.png\"},\n",
      "             \"Microcyclus aquaticus\": {\"search_term\": \"Microcyclus aquaticus[Orgn] AND 16S\", \"image\": \"images/bacterium_b.png\"},\n",
      "             \"Bifidobacterium bifidum\": {\"search_term\": \"Bifidobacterium bifidum[Orgn] AND 16S AND \\\"complete sequence\\\"\", \"image\": \"images/bacterium_c.png\"},\n",
      "             \"Clostridium cocleatum\": {\"search_term\": \"Clostridium cocleatum[Orgn] AND 16S\", \"image\": \"images/bacterium_d.png\"},\n",
      "             \"Aquaspirillum autotrophicum\": {\"search_term\": \"Aquaspirillum autotrophicum[Orgn] AND 16S\", \"image\": \"images/bacterium_e.png\"},\n",
      "             \"Pyrodictium abyssi\": {\"search_term\": \"Pyrodictium abyssi[Orgn] AND 16S\", \"image\": \"images/bacterium_f.png\"},\n",
      "             \"Escherichia coli\": {\"search_term\": \"Escherichia coli[Orgn] AND \\\"16S ribosomal RNA\\\" AND 1500:1600[Sequence length] NOT (strain OR clone) NOT partial[Title]\", \"image\": \"images/bacterium_g.png\"},\n",
      "             \"Bifidobacterium sp.\": {\"search_term\": \"Bifidobacterium[Orgn] AND 16S ribosomal RNA AND 1500:1600[Sequence length] AND \\\"complete sequence\\\"\", \"image\": \"images/bacterium_h.png\"},\n",
      "             \"Planctomyces sp.\": {\"search_term\": \"Planctomyces sp.[Orgn] AND 16S\", \"image\": \"images/bacterium_i.png\"},\n",
      "             \"Nocardia opaca\": {\"search_term\": \"Nocardia opaca[Orgn] AND 16S AND 1500:1600[Sequence length]\", \"image\": \"images/bacterium_k.png\"},\n",
      "             \"Caulobacter sp.\": {\"search_term\": \"Caulobacter[Orgn] AND \\\"16S ribosomal RNA gene\\\" AND 1400:1500[Sequence length] NOT (clone OR uncultured OR strain)\", \"image\": \"images/bacterium_m.png\"},\n",
      "             \"Spirochaeta halophila\": {\"search_term\": \"Spirochaeta halophila[Orgn] AND 16S\", \"image\": \"images/bacterium_n.png\"},\n",
      "             \"Prosthecobacter fusiformis\": {\"search_term\": \"Prosthecobacter fusiformis[Orgn] AND 16S AND 1450:1500[Sequence length]\", \"image\": \"images/bacterium_o.png\"},\n",
      "             \"Methanogenium cariaci\": {\"search_term\": \"Methanogenium cariaci[Orgn] AND 16S\", \"image\": \"images/bacterium_p.png\"},\n",
      "             \"Arthrobacter globiformis\": {\"search_term\": \"Arthrobacter globiformis[Orgn] AND 16S AND 1500:1600[Sequence length]\", \"image\": \"images/bacterium_q.png\"},\n",
      "             \"Ancalomicrobium sp.\": {\"search_term\": \"Ancalomicrobium[Orgn] AND 16S AND 1300:1500[Sequence length]\", \"image\": \"images/bacterium_s.png\"},\n",
      "             \"Nevskia ramosa\": {\"search_term\": \"Nevskia ramosa[Orgn] AND 16S AND 1300:1600[Sequence length]\", \"image\": \"images/bacterium_t.png\"},\n",
      "             \"Rhodomicrobium vannielii\": {\"search_term\": \"Rhodomicrobium vannielii AND 16S AND 1300:1500[Sequence length]\", \"image\": \"images/bacterium_u.png\"},\n",
      "             \"Streptomyces sp.\": {\"search_term\": \"Streptomyces sp.[Orgn] AND 16S AND 1400:1600[Sequence length] NOT (strain[Title] OR patent[Title] OR isolate[Title])\", \"image\": \"images/bacterium_v.png\"},\n",
      "             \"Caryophanon latum\": {\"search_term\": \"Caryophanon latum[Orgn] AND 16S\", \"image\": \"images/bacterium_w.png\"},\n",
      "             \"Calothrix sp.\": {\"search_term\": \"\\\"Calothrix sp.\\\" AND \\\"16S ribosomal RNA\\\" NOT \\\"intergenic spacer\\\" NOT strain[Title] AND 1300:1600[Sequence length]\", \"image\": \"images/bacterium_w.png\"},\n",
      "}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# setup variables\n",
      "records = []\n",
      "\n",
      "# Let NCBI know who we are\n",
      "Entrez.email = \"[email protected]\"\n",
      "\n",
      "# Search for bacterial sequences using search terms\n",
      "for value in taxa_dict.itervalues():\n",
      "    handle = Entrez.esearch(db=\"nucleotide\", term=value[\"search_term\"])\n",
      "    result = Entrez.read(handle)\n",
      "    value[\"id_list\"] = result[\"IdList\"]\n",
      "\n",
      "# get fasta sequence for first id in taxa list\n",
      "for value in taxa_dict.itervalues():\n",
      "    handle = Entrez.efetch(db=\"nucleotide\", id=value[\"id_list\"][0], rettype=\"fasta\", retmode=\"text\")\n",
      "    records.append(SeqIO.read(handle, \"fasta\"))\n",
      "    handle.close()\n",
      "\n",
      "# write out to fasta file\n",
      "output_filename = \"young_genbank_bacteria_16s_seqs.fasta\"\n",
      "output_handle = open(output_filename, \"w\")\n",
      "SeqIO.write(records, output_handle, \"fasta\")\n",
      "output_handle.close()\n",
      "\n",
      "# Let us know what and where\n",
      "print \"Wrote %d sequences to %s\" % (len(records), output_filename)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Wrote 21 sequences to young_genbank_bacteria_16s_seqs.fasta\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Sequence Information"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Display information about the sequences\n",
      "# index first otherwise we can only iterate over the record generator once\n",
      "bacterial_seqs_filename = \"young_genbank_bacteria_16s_seqs.fasta\"\n",
      "bacterial_seqs_dict = SeqIO.index(bacterial_seqs_filename, \"fasta\")\n",
      "\n",
      "num_seqs = len(bacterial_seqs_dict)\n",
      "seq_ids = bacterial_seqs_dict.keys()\n",
      "seq_gc = [GC(record.seq) for record in bacterial_seqs_dict.itervalues()]\n",
      "seq_lengths = [len(record) for record in bacterial_seqs_dict.itervalues()]\n",
      "\n",
      "# create dict from values for building pandas dataframe\n",
      "data = {'fasta_header':seq_ids,\n",
      "        'gc_percentage':seq_gc,\n",
      "        'sequence_length':seq_lengths,\n",
      "}\n",
      "\n",
      "# create dataframe\n",
      "bacterial_seqs_df = pd.DataFrame(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# show data\n",
      "bacterial_seqs_df#.sort(columns=[\"sequence_length\"])\n",
      "#bacterial_seqs_df.sort(columns=[\"gc_percentage\"])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>fasta_header</th>\n",
        "      <th>gc_percentage</th>\n",
        "      <th>sequence_length</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td> gi|219878444|ref|NR_025583.1|</td>\n",
        "      <td> 58.258466</td>\n",
        "      <td> 1447</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td> gi|343206166|ref|NR_044756.1|</td>\n",
        "      <td> 54.696486</td>\n",
        "      <td> 1565</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td> gi|507148164|ref|NR_102971.1|</td>\n",
        "      <td> 59.295499</td>\n",
        "      <td> 1533</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td>  gi|388556228|dbj|AB685269.1|</td>\n",
        "      <td> 53.802009</td>\n",
        "      <td> 1394</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td>  gi|359805520|dbj|AB681798.1|</td>\n",
        "      <td> 56.685633</td>\n",
        "      <td> 1406</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td> gi|507148166|ref|NR_102973.1|</td>\n",
        "      <td> 61.002604</td>\n",
        "      <td> 1536</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td> gi|343200212|ref|NR_040899.1|</td>\n",
        "      <td> 53.055742</td>\n",
        "      <td> 1489</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td>  gi|313760310|emb|FR733663.1|</td>\n",
        "      <td> 55.410959</td>\n",
        "      <td> 1460</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td>      gi|1806270|emb|X85249.1|</td>\n",
        "      <td> 55.364512</td>\n",
        "      <td> 1454</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td> gi|219846433|ref|NR_026024.1|</td>\n",
        "      <td> 54.050374</td>\n",
        "      <td> 1469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>  gi|174375|gb|J01859.1|ECORRD</td>\n",
        "      <td> 54.445165</td>\n",
        "      <td> 1541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>       gi|550432|emb|X81574.1|</td>\n",
        "      <td> 60.604071</td>\n",
        "      <td> 1523</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>   gi|408683477|gb|JX088110.1|</td>\n",
        "      <td> 54.848046</td>\n",
        "      <td> 1382</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td> gi|343206148|ref|NR_044737.1|</td>\n",
        "      <td> 55.369596</td>\n",
        "      <td> 1434</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td> gi|444304207|ref|NR_074632.1|</td>\n",
        "      <td> 58.448389</td>\n",
        "      <td> 1521</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>    gi|85001975|gb|DQ337549.1|</td>\n",
        "      <td> 55.355909</td>\n",
        "      <td> 1447</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>   gi|312837079|gb|HQ455822.1|</td>\n",
        "      <td> 57.424442</td>\n",
        "      <td> 1522</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td>   gi|441425471|gb|KC139249.1|</td>\n",
        "      <td> 69.096431</td>\n",
        "      <td> 1317</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td> gi|470467654|ref|NR_074186.1|</td>\n",
        "      <td> 55.479918</td>\n",
        "      <td> 1469</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td> gi|219846903|ref|NR_026495.1|</td>\n",
        "      <td> 51.914036</td>\n",
        "      <td> 1489</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td> gi|310974986|ref|NR_036850.1|</td>\n",
        "      <td> 53.794493</td>\n",
        "      <td> 1489</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "                     fasta_header  gc_percentage  sequence_length\n",
        "0   gi|219878444|ref|NR_025583.1|      58.258466             1447\n",
        "1   gi|343206166|ref|NR_044756.1|      54.696486             1565\n",
        "2   gi|507148164|ref|NR_102971.1|      59.295499             1533\n",
        "3    gi|388556228|dbj|AB685269.1|      53.802009             1394\n",
        "4    gi|359805520|dbj|AB681798.1|      56.685633             1406\n",
        "5   gi|507148166|ref|NR_102973.1|      61.002604             1536\n",
        "6   gi|343200212|ref|NR_040899.1|      53.055742             1489\n",
        "7    gi|313760310|emb|FR733663.1|      55.410959             1460\n",
        "8        gi|1806270|emb|X85249.1|      55.364512             1454\n",
        "9   gi|219846433|ref|NR_026024.1|      54.050374             1469\n",
        "10   gi|174375|gb|J01859.1|ECORRD      54.445165             1541\n",
        "11        gi|550432|emb|X81574.1|      60.604071             1523\n",
        "12    gi|408683477|gb|JX088110.1|      54.848046             1382\n",
        "13  gi|343206148|ref|NR_044737.1|      55.369596             1434\n",
        "14  gi|444304207|ref|NR_074632.1|      58.448389             1521\n",
        "15     gi|85001975|gb|DQ337549.1|      55.355909             1447\n",
        "16    gi|312837079|gb|HQ455822.1|      57.424442             1522\n",
        "17    gi|441425471|gb|KC139249.1|      69.096431             1317\n",
        "18  gi|470467654|ref|NR_074186.1|      55.479918             1469\n",
        "19  gi|219846903|ref|NR_026495.1|      51.914036             1489\n",
        "20  gi|310974986|ref|NR_036850.1|      53.794493             1489"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# summary of data fram\n",
      "bacterial_seqs_df.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>gc_percentage</th>\n",
        "      <th>sequence_length</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 21.000000</td>\n",
        "      <td>   21.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td> 56.590609</td>\n",
        "      <td> 1470.809524</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>  3.748380</td>\n",
        "      <td>   61.364174</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td> 51.914036</td>\n",
        "      <td> 1317.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td> 54.445165</td>\n",
        "      <td> 1447.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td> 55.369596</td>\n",
        "      <td> 1469.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td> 58.258466</td>\n",
        "      <td> 1522.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td> 69.096431</td>\n",
        "      <td> 1565.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "       gc_percentage  sequence_length\n",
        "count      21.000000        21.000000\n",
        "mean       56.590609      1470.809524\n",
        "std         3.748380        61.364174\n",
        "min        51.914036      1317.000000\n",
        "25%        54.445165      1447.000000\n",
        "50%        55.369596      1469.000000\n",
        "75%        58.258466      1522.000000\n",
        "max        69.096431      1565.000000"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# plot GC content\n",
      "hist(bacterial_seqs_df.gc_percentage)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "(array([2, 6, 6, 3, 1, 2, 0, 0, 0, 1]),\n",
        " array([ 51.91403627,  53.63227577,  55.35051527,  57.06875477,\n",
        "        58.78699427,  60.50523377,  62.22347328,  63.94171278,\n",
        "        65.65995228,  67.37819178,  69.09643128]),\n",
        " <a list of 10 Patch objects>)"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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Xk3tzYHbs2NG9HSIp7Xam9V0izc3NWrx4sSQpFotp6dKlWr9+vS5cuKBHHnlEv/32m8rL\ny/X+++9r1KhRmbyenNLf9Vy2bJm+/fZbOY6jCRMm6K233ure50L/vvvuO61atUodHR2aOHGitm3b\nps7OTu7NDPW+nm+//baeeuop7s0MRaNR3XrrrWpublZBQYEkpd3OtL+tDwAQDP6PMwBgBMEGACMI\nNgAYQbABwAiCDQBGEGwAMOI/jlUwOG6fiEoAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# look at sequence length\n",
      "hist(bacterial_seqs_df.sequence_length)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "(array([1, 0, 1, 2, 1, 4, 5, 0, 5, 2]),\n",
        " array([ 1317. ,  1341.8,  1366.6,  1391.4,  1416.2,  1441. ,  1465.8,\n",
        "        1490.6,  1515.4,  1540.2,  1565. ]),\n",
        " <a list of 10 Patch objects>)"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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nSpLGjx+vrKwsnT59OtD98x30+vr62Nc1NTWqqqqSJM2cOVPvvvuuotGoGhoaVF9frwkT\nJmjo0KHKzc1VXV2dnHN65513NHv2bL/DJk1X6zt9+rTa2tokSd9++63q6+t1ww03KD8/P2PWV15e\nrpaWFjU0NKihoUGhUEgHDx5UXl6eif3ran1DhgwxsX8nTpyIff3+++/HPkFhYe+krtdnYe8kafbs\n2dq1a5ck6ciRI4pGoxo0aFCw+3eln5jOnz/f5efnu5ycHBcKhdzrr7/u7rrrLldWVuYqKirc3Llz\nXUtLS+z4tWvXuuLiYnfjjTe62tra2OMHDhxwZWVlrri42D300EN/+xPiZPGzvvfee8+NGjXKVVZW\nujFjxrjt27fHzpPu6+vdu7cLhULujTfe6PD9oqKi2KdAnMvc/YtnfZm2f529NhctWuTKy8vd6NGj\n3axZs9zJkydjx2fq3sWzvkzbO+c6f21Go1F37733urKyMjdmzBi3e/fu2PFB7Z/nnKGbqADwD8b/\nYhAAjCDoAGAEQQcAIwg6ABhB0AHACIIOAEb8H4guBX6DpBHCAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Align Sequences"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Align the sequences using MAFFT\n",
      "mafft_run = MafftCommandline(cmd=\"mafft\", input=\"young_genbank_bacteria_16s_seqs.fasta\")\n",
      "stdout, stderr = mafft_run()\n",
      "\n",
      "# output alignment\n",
      "handle = open(\"young_genbank_bacteria_16s_seqs_mafft.afa\", \"w\")\n",
      "handle.write(stdout)\n",
      "handle.close()\n",
      "\n",
      "# output run information\n",
      "handle = open(\"young_genbank_bacteria_16s_seqs_mafft.txt\", \"w\")\n",
      "handle.write(stderr)\n",
      "handle.close()\n",
      "\n",
      "# read alignment\n",
      "mafft_alignment = AlignIO.read(StringIO(stdout), \"fasta\")\n",
      "print mafft_alignment"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "SingleLetterAlphabet() alignment with 21 rows and 1649 columns\n",
        "--------------------------------------------...--- gi|219846903|ref|NR_026495.1|\n",
        "------------------------------agagtttgatcctg...--- gi|550432|emb|X81574.1|\n",
        "------------------------------agagtttgatcctg...--- gi|310974986|ref|NR_036850.1|\n",
        "--------------------------------------------...--- gi|441425471|gb|KC139249.1|\n",
        "----------------------------------ggttgatcct...--- gi|313760310|emb|FR733663.1|\n",
        "--------------------------------------------...--- gi|359805520|dbj|AB681798.1|\n",
        "--------------------------------------------...--- gi|408683477|gb|JX088110.1|\n",
        "------------------------------agagtttgatcctg...--- gi|85001975|gb|DQ337549.1|\n",
        "------------------------------agagtttgatccgg...--- gi|312837079|gb|HQ455822.1|\n",
        "--------------------------gtggagggttcgattctg...aga gi|507148166|ref|NR_102973.1|\n",
        "-----------------------tcaacggagagtttgatcctg...--- gi|444304207|ref|NR_074632.1|\n",
        "ncgtcccttcggggacgtacaaaatcatggagagtttgatcctg...--- gi|343206166|ref|NR_044756.1|\n",
        "---------------------ntcaacttgagagtttgatcctg...--- gi|343206148|ref|NR_044737.1|\n",
        "------------------------------agagtttgatcctg...--- gi|470467654|ref|NR_074186.1|\n",
        "--------------------------------------------...--- gi|219878444|ref|NR_025583.1|\n",
        "--------------------------------------------...--- gi|388556228|dbj|AB685269.1|\n",
        "---------------------tttttgtggagggttcgattctg...--- gi|507148164|ref|NR_102971.1|\n",
        "--------------------------------------------...--- gi|219846433|ref|NR_026024.1|\n",
        "...\n",
        "--------------------------------------------...--- gi|1806270|emb|X85249.1|\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Build Phylogeny"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Build the phylogenetic tree using PhyloBayes\n",
      "# first we must convert to relaxed phylip\n",
      "bacterial_seqs_phy_file = \"young_genbank_bacteria_16s_seqs_mafft.phy\"\n",
      "phyout = open(bacterial_seqs_phy_file, \"w\")\n",
      "AlignIO.write(mafft_alignment, phyout, \"phylip-relaxed\")\n",
      "phyout.close()\n",
      "\n",
      "# setup variables\n",
      "raxml_output = os.getcwd()\n",
      "raxml_run_name = \"young_bacteria_tree\"\n",
      "\n",
      "# RAxML doesn't like overwriting files so delete any existing\n",
      "for file in os.listdir(raxml_output):\n",
      "    if file.startswith(\"RAxML\") and file.endswith(raxml_run_name):\n",
      "        os.remove(os.path.join(raxml_output, file))\n",
      "\n",
      "# now build the tree\n",
      "raxml_run = RaxmlCommandline(cmd=\"raxmlHPC-PTHREADS-SSE3\", sequences=bacterial_seqs_phy_file, name=raxml_run_name, model=\"GTRGAMMA\", working_dir=raxml_output)\n",
      "stdout, stderr = raxml_run()\n",
      "\n",
      "# display output\n",
      "print stdout\n",
      "print stderr"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "IMPORTANT WARNING: Alignment column 1 contains only undetermined values which will be treated as missing data\n",
        "\n",
        "IMPORTANT WARNING\n",
        "Found 1 column that contains only undetermined values which will be treated as missing data.\n",
        "Normally these columns should be excluded from the analysis.\n",
        "\n",
        "An alignment file with undetermined columns removed has already\n",
        "been printed to file young_genbank_bacteria_16s_seqs_mafft.phy.reduced\n",
        "\n",
        "\n",
        "This is RAxML version 7.2.8 released by Alexandros Stamatakis in October 2010.\n",
        "\n",
        "With greatly appreciated code contributions by:\n",
        "Andre Aberer (TUM)\n",
        "Simon Berger (TUM)\n",
        "John Cazes (TACC)\n",
        "Michael Ott (TUM)\n",
        "Nick Pattengale (UNM)\n",
        "Wayne Pfeiffer (SDSC)\n",
        "Akifumi S. Tanabe (Univ. Tsukuba)\n",
        "\n",
        "\n",
        "Alignment has 1002 distinct alignment patterns\n",
        "\n",
        "Proportion of gaps and completely undetermined characters in this alignment: 10.90%\n",
        "\n",
        "RAxML rapid hill-climbing mode\n",
        "\n",
        "Using 1 distinct models/data partitions with joint branch length optimization\n",
        "\n",
        "\n",
        "Executing 1 inferences on the original alignment using 1 distinct randomized MP trees\n",
        "\n",
        "All free model parameters will be estimated by RAxML\n",
        "GAMMA model of rate heteorgeneity, ML estimate of alpha-parameter\n",
        "\n",
        "GAMMA Model parameters will be estimated up to an accuracy of 0.1000000000 Log Likelihood units\n",
        "\n",
        "Partition: 0\n",
        "Alignment Patterns: 1002\n",
        "Name: No Name Provided\n",
        "DataType: DNA\n",
        "Substitution Matrix: GTR\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "RAxML was called as follows:\n",
        "\n",
        "raxmlHPC-PTHREADS-SSE3 -m GTRGAMMA -n young_bacteria_tree -p 10000 -s young_genbank_bacteria_16s_seqs_mafft.phy -w /Users/stevemoss/Dropbox/Postdoc/Stuart_Phylogenetics \n",
        "\n",
        "\n",
        "Testing which likelihood implementation to use\n",
        "Standard Implementation full tree traversal time: 0.011889\n",
        "Subtree Equality Vectors for gap columns full tree traversal time: 0.013828\n",
        "... using standard implementation\n",
        "\n",
        "Inference[0]: Time 11.542941 GAMMA-based likelihood -16805.609666, best rearrangement setting 5\n",
        "\n",
        "\n",
        "Conducting final model optimizations on all 1 trees under GAMMA-based models ....\n",
        "\n",
        "Inference[0] final GAMMA-based Likelihood: -16804.389538 tree written to file /Users/stevemoss/Dropbox/Postdoc/Stuart_Phylogenetics/RAxML_result.young_bacteria_tree\n",
        "\n",
        "\n",
        "Starting final GAMMA-based thorough Optimization on tree 0 likelihood -16804.389538 .... \n",
        "\n",
        "Final GAMMA-based Score of best tree -16804.389538\n",
        "\n",
        "Program execution info written to /Users/stevemoss/Dropbox/Postdoc/Stuart_Phylogenetics/RAxML_info.young_bacteria_tree\n",
        "Best-scoring ML tree written to: /Users/stevemoss/Dropbox/Postdoc/Stuart_Phylogenetics/RAxML_bestTree.young_bacteria_tree\n",
        "\n",
        "Overall execution time: 16.184613 secs or 0.004496 hours or 0.000187 days\n",
        "\n",
        "\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Visualize Phylogeny"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Visualize the phylogeny\n",
      "# First load tree file from RAxML run\n",
      "tree_file = \"RAxML_bestTree.young_bacteria_tree\"\n",
      "tr = LoadTree(tree_file)\n",
      "\n",
      "# Change the tip names to something more human readable\n",
      "for leaf in tr.iterTips():\n",
      "    parts = leaf.Name.split(\"|\")\n",
      "    sid = parts[1]\n",
      "    # iterate over taxa_dict\n",
      "    for taxa, val in taxa_dict.iteritems():\n",
      "        if sid in val[\"id_list\"]:\n",
      "            leaf.Name = taxa\n",
      "\n",
      "# adjust default width and height\n",
      "w, h = 800, 600\n",
      "\n",
      "# draw scaled phylogeny\n",
      "dp = dendrogram.SquareDendrogram(tr)\n",
      "dp.drawToPDF(tree_file + \"_scaled.pdf\", w, h)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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vvvoqsbGxOBwOIiIi3A++165dm3Xr1hEaGkp6ejovvvgiAH/5y19o3rw5rVu3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\nAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Annotate Phylogeny"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Annotate the phylogeny with pretty pictures\n",
      "# for this we need to use ETE2\n",
      "from ete2 import Tree, TreeStyle, faces\n",
      "\n",
      "# load tree\n",
      "t = Tree(tr.getNewick())\n",
      "\n",
      "# Load pictures\n",
      "def t_layout(node):\n",
      "    for key, val in taxa_dict.iteritems():\n",
      "        if node.name.startswith(str(\"_\".join(key.split()))):\n",
      "            faces.add_face_to_node(faces.ImgFace(val[\"image\"]), node, column=1)\n",
      "\n",
      "# show tree\n",
      "t.show(t_layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# write to image file\n",
      "ts = TreeStyle()\n",
      "ts.layout_fn =  t_layout\n",
      "t.render(tree_file + \"_annotated.png\", w=1280, dpi=1200, tree_style = ts)\n",
      "t.render(tree_file + \"_annotated.pdf\", w=1280, dpi=1200, tree_style = ts)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "{'faces': [[333.11111111111114,\n",
        "   82.5,\n",
        "   420.75173611111114,\n",
        "   94.5,\n",
        "   0,\n",
        "   'Bifidobacterium_sp.'],\n",
        "  [421.11111111111114, 71.5, 474.11111111111114, 106.5, 0, None],\n",
        "  [380.5555555555556, 607.5, 452.6961805555556, 619.5, 1, 'Escherichia_coli'],\n",
        "  [453.5555555555556, 596.5, 510.5555555555556, 631.5, 1, None],\n",
        "  [380.5555555555556,\n",
        "   642.5,\n",
        "   509.2586805555556,\n",
        "   654.5,\n",
        "   2,\n",
        "   'Aquaspirillum_autotrophicum'],\n",
        "  [509.5555555555556, 631.5, 540.5555555555557, 666.5, 2, None],\n",
        "  [285.6666666666667,\n",
        "   117.5,\n",
        "   394.3854166666667,\n",
        "   129.5,\n",
        "   3,\n",
        "   'Arthrobacter_globiformis'],\n",
        "  [394.6666666666667, 106.5, 426.6666666666667, 141.5, 3, None],\n",
        "  [95.8888888888889, 677.5, 185.7638888888889, 689.5, 5, 'Caryophanon_latum'],\n",
        "  [185.8888888888889, 666.5, 209.8888888888889, 701.5, 5, None],\n",
        "  [238.22222222222223, 152.5, 310.90972222222223, 164.5, 6, 'Nocardia_opaca'],\n",
        "  [311.22222222222223, 141.5, 343.22222222222223, 176.5, 6, None],\n",
        "  [333.11111111111114,\n",
        "   397.5,\n",
        "   439.04861111111114,\n",
        "   409.5,\n",
        "   8,\n",
        "   'Stella_strain_IFAM1312'],\n",
        "  [439.11111111111114, 386.5, 478.11111111111114, 421.5, 8, None],\n",
        "  [95.8888888888889,\n",
        "   712.5,\n",
        "   196.8732638888889,\n",
        "   724.5,\n",
        "   9,\n",
        "   'Clostridium_cocleatum'],\n",
        "  [196.8888888888889, 701.5, 230.8888888888889, 736.5, 9, None],\n",
        "  [380.5555555555556, 432.5, 453.2274305555556, 444.5, 13, 'Caulobacter_sp.'],\n",
        "  [453.5555555555556, 421.5, 484.5555555555556, 456.5, 13, None],\n",
        "  [333.11111111111114,\n",
        "   257.5,\n",
        "   454.04861111111114,\n",
        "   269.5,\n",
        "   15,\n",
        "   'Prosthecobacter_fusiformis'],\n",
        "  [454.11111111111114, 246.5, 499.11111111111114, 281.5, 15, None],\n",
        "  [285.6666666666667, 222.5, 343.9166666666667, 234.5, 18, 'Calothrix_sp.'],\n",
        "  [344.6666666666667, 211.5, 368.6666666666667, 246.5, 18, None],\n",
        "  [333.11111111111114, 572.5, 407.48611111111114, 584.5, 21, 'Nevskia_ramosa'],\n",
        "  [408.11111111111114, 561.5, 441.11111111111114, 596.5, 21, None],\n",
        "  [428.00000000000006,\n",
        "   537.5,\n",
        "   545.078125,\n",
        "   549.5,\n",
        "   23,\n",
        "   'Rhodomicrobium_vannielii'],\n",
        "  [546.0, 526.5, 577.0, 561.5, 23, None],\n",
        "  [190.77777777777777, 12.5, 270.66840277777777, 24.5, 25, 'Streptomyces_sp.'],\n",
        "  [270.77777777777777, 1.5, 326.77777777777777, 36.5, 25, None],\n",
        "  [475.4444444444445,\n",
        "   502.5,\n",
        "   575.8975694444446,\n",
        "   514.5,\n",
        "   27,\n",
        "   'Microcyclus_aquaticus'],\n",
        "  [576.4444444444446, 491.5, 605.4444444444446, 526.5, 27, None],\n",
        "  [380.5555555555556, 292.5, 461.5711805555556, 304.5, 29, 'Planctomyces_sp.'],\n",
        "  [462.5555555555556, 281.5, 490.5555555555556, 316.5, 29, None],\n",
        "  [475.4444444444445,\n",
        "   467.5,\n",
        "   570.8819444444446,\n",
        "   479.5,\n",
        "   33,\n",
        "   'Ancalomicrobium_sp.'],\n",
        "  [571.4444444444446, 456.5, 602.4444444444446, 491.5, 33, None],\n",
        "  [190.77777777777777,\n",
        "   187.5,\n",
        "   289.51215277777777,\n",
        "   199.5,\n",
        "   35,\n",
        "   'Spirochaeta_halophila'],\n",
        "  [289.77777777777777, 176.5, 428.77777777777777, 211.5, 35, None],\n",
        "  [428.00000000000006, 327.5, 533.96875, 339.5, 36, 'Methanogenium_cariaci'],\n",
        "  [534.0, 316.5, 571.0, 351.5, 36, None],\n",
        "  [333.11111111111114,\n",
        "   47.5,\n",
        "   439.61111111111114,\n",
        "   59.5,\n",
        "   37,\n",
        "   'Bifidobacterium_bifidum'],\n",
        "  [440.11111111111114, 36.5, 457.11111111111114, 71.5, 37, None],\n",
        "  [428.00000000000006, 362.5, 514.015625, 374.5, 38, 'Pyrodictium_abyssi'],\n",
        "  [515.0, 351.5, 551.0, 386.5, 38, None]],\n",
        " 'nodes': [[330.11111111111114, 87.0, 333.11111111111114, 90.0, 0, None],\n",
        "  [377.5555555555556, 612.0, 380.5555555555556, 615.0, 1, None],\n",
        "  [377.5555555555556, 647.0, 380.5555555555556, 650.0, 2, None],\n",
        "  [282.6666666666667, 122.0, 285.6666666666667, 125.0, 3, None],\n",
        "  [282.6666666666667, 439.1875, 285.6666666666667, 442.1875, 4, None],\n",
        "  [92.8888888888889, 682.0, 95.8888888888889, 685.0, 5, None],\n",
        "  [235.22222222222223, 157.0, 238.22222222222223, 160.0, 6, None],\n",
        "  [235.22222222222223, 95.75, 238.22222222222223, 98.75, 7, None],\n",
        "  [330.11111111111114, 402.0, 333.11111111111114, 405.0, 8, None],\n",
        "  [92.8888888888889, 717.0, 95.8888888888889, 720.0, 9, None],\n",
        "  [282.6666666666667, 603.25, 285.6666666666667, 606.25, 10, None],\n",
        "  [377.5555555555556, 515.75, 380.5555555555556, 518.75, 11, None],\n",
        "  [235.22222222222223, 521.21875, 238.22222222222223, 524.21875, 12, None],\n",
        "  [377.5555555555556, 437.0, 380.5555555555556, 440.0, 13, None],\n",
        "  [235.22222222222223, 259.8125, 238.22222222222223, 262.8125, 14, None],\n",
        "  [330.11111111111114, 262.0, 333.11111111111114, 265.0, 15, None],\n",
        "  [282.6666666666667, 292.625, 285.6666666666667, 295.625, 16, None],\n",
        "  [45.44444444444444,\n",
        "   449.236328125,\n",
        "   48.44444444444444,\n",
        "   452.236328125,\n",
        "   17,\n",
        "   None],\n",
        "  [282.6666666666667, 227.0, 285.6666666666667, 230.0, 18, None],\n",
        "  [140.33333333333331, 71.6875, 143.33333333333331, 74.6875, 19, None],\n",
        "  [140.33333333333331, 291.2578125, 143.33333333333331, 294.2578125, 20, None],\n",
        "  [330.11111111111114, 577.0, 333.11111111111114, 580.0, 21, None],\n",
        "  [187.77777777777777, 126.375, 190.77777777777777, 129.375, 22, None],\n",
        "  [425.00000000000006, 542.0, 428.00000000000006, 545.0, 23, None],\n",
        "  [330.11111111111114, 323.25, 333.11111111111114, 326.25, 24, None],\n",
        "  [187.77777777777777, 17.0, 190.77777777777777, 20.0, 25, None],\n",
        "  [92.88888888888889, 181.47265625, 95.88888888888889, 184.47265625, 26, None],\n",
        "  [472.4444444444445, 507.0, 475.4444444444445, 510.0, 27, None],\n",
        "  [377.5555555555556, 349.5, 380.5555555555556, 352.5, 28, None],\n",
        "  [377.5555555555556, 297.0, 380.5555555555556, 300.0, 29, None],\n",
        "  [282.6666666666667, 69.5, 285.6666666666667, 72.5, 30, None],\n",
        "  [425.00000000000006, 489.5, 428.00000000000006, 492.5, 31, None],\n",
        "  [187.77777777777777, 390.515625, 190.77777777777777, 393.515625, 32, None],\n",
        "  [472.4444444444445, 472.0, 475.4444444444445, 475.0, 33, None],\n",
        "  [330.11111111111114, 629.5, 333.11111111111114, 632.5, 34, None],\n",
        "  [187.77777777777777, 192.0, 190.77777777777777, 195.0, 35, None],\n",
        "  [425.00000000000006, 332.0, 428.00000000000006, 335.0, 36, None],\n",
        "  [330.11111111111114, 52.0, 333.11111111111114, 55.0, 37, None],\n",
        "  [425.00000000000006, 367.0, 428.00000000000006, 370.0, 38, None],\n",
        "  [330.11111111111114, 476.375, 333.11111111111114, 479.375, 39, None]]}"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image\n",
      "Image(filename='RAxML_bestTree.young_bacteria_tree_annotated.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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79CI+fLo2vTvG2tvbtGlDamoqmZmZNGzYkCFDhrB06VJ27dpFWloa77//Ppdf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Xo1FSpUYPjw4Vfd79/F6XQybNgwOnfuTN26denatSu33XYbx44dsyfhBw0aZDV2tAZHGaC3fXz1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goCDmzZvHW2+9xYoVK1i1apV/si41NdW/tLxixYokJiayZcsW3G63fwIwKCiI48eP07p1a9as\nWUNiYiL9+vUjJyeHf/3rXyQnJ7N06VL+/e9/+78GW7Zs4dixY9xyyy1kZ2cHPJOtW7eya9cuWrRo\nQWRkJAMHDuTXX39lxowZ9OjRg/79+zN16lS6d+9O2bJlmTlzJtOnTyc8PJzJkycD1kR8amqqf4xg\nLbsdMWIEV199NcOHDyc4OJj58+czdepUli9fzurVqy+IYj4iIkXKyAVp7ty5JikpqaiHIV6LFy82\n1157bVEPQ7w2bNhg6tatW9TDEK+dO3ea+Pj4oh7GJWnb3iwT3ux7Q+K3hsRvTVjTxabDPctMVFRU\nUQ9NpMh9/cNRE9l8sf/ng8RvTUy7pebg77nGGGMaNmxoALN+/foC57rdbvPf//7XhIWFGcB8++23\nxhhj0tPTDWAA8/DDDxu3222cTqdJS0szBw8eNOHh4aZEiRJm5cqVAf3NmDHDACY+Pt7k5OQYY4zp\n0aOHAczGjRsD2o4ePdoA5p///Kd/38SJEw1gJk6cGNA2OjraAKZ3797G5XL593/11VcGMPXq1fPv\nW79+vbHb7aZSpUpmz549Af288MILBjCDBg3y7xs1apQBTI8ePYzT6fTv37lzp4mMjDQRERHmxIkT\n5tChQyYiIsKEhYWZ5cuXB/T72WefGcBUqlTJZGdnG2OMmT17tv8Zzpgxw9/W4/GYBx54wAAmOTnZ\nv//mm282gPnoo48C+s7OzjYJCQkGMKmpqf4+6tatawDz6aefBrSfMGGCAUzfvn39+wBTq1atgHZj\nx441gOnWrZvJzc0NuF7btm0NYObMmePfX6tWLQOY9u3bm4yMDOPxeMzhw4fNn9GzZ08DmDVr1vj3\npaSkGMA8+uijBdr7nuXgwYP9+6KiokzlypUDxu52u02HDh0MYBYtWmSMMcbpdBZ6/zExMQX+G/LI\nI48YwNx2220B32fp6emmSZMmBjDvvPOOf7/va1DYM7nqqqsMYDp06OD/WTDGmAEDBhjABAUFmR9+\n+MG/f9euXcbhcJjy5cv79y1btqzA1zI6OtpUrFgxl+DX9wAAIABJREFUoE+Px2NuuOEGA5gFCxYU\neH6+Nh6Pp8D+22+/3dx+++3+71XAxMbGmtjYWDNs2DAzbNgwM27cODNu3Djz9NNPm6efftp/3Nf+\nnnvuMffcc88pr5n/5fY4rZdxGbdxFTjHp9c/7jS9/nGn/xqlJpT3vzChBhNq6huHqW8c5mVXFfOy\nq4r50jQ3X5rm5ntzk/ne3GQ+9bQ3n3ramw+dzcyHzmZmmDPBDHMmmJLG4X+V+znClPs5wlAKQynM\n+GdfN+Offf2U9+B2u43b7TYul6vAS0QuHPo1iIiIyEWq2uVhbJp5Nf+cvIPfj7lo1SiK+7qVIv7T\noh6ZSNHKzPbQ79mtpGcGVjg9+LuTW5/cxDdTG/j3+ZZb+jidTnbt2sWxY8cAGDBgAK1atQrox2az\nMWzYMOx2O3a7naioKCZNmkRGRgaPPPIIjRs3DmjfvXt3OnXqxJw5c5g/fz6dOnUiN9dK1J+amkqd\nOnX8be+//366dOlC1apVz/h+R44cGbAEs3379kRFRbF9e15S/3feeQePx8MzzzxDpUqVAs5/8skn\nGT9+PO+//z5jx44lODiYDz74AICxY8cGRE7Fx8czevRoDhw4QEZGBjNnzuTEiRMMGjSIJk2aBPTb\npUsXunTpwqxZs5g7dy5dunTxH2vXrh3du3cPeKYvvvgi06ZNY/r06bz88svY7XZ69epFo0aNCqSZ\nCA0NpXnz5mzevJnff/8dgLVr17Jx40ZatmxZoLLvgAED+Omnn7jqqqtO+yynTZsGwKuvvhoQxRca\nGspzzz3HN998w9tvv82NN94YcN5TTz3lz4kXHR192mucT7m5uRw/fpydO3f6l7Db7Xb/1//yyy8/\nq/7cbjfvvfceISEhTJo0KeD7LCIigldffZVmzZoxZcoU7rrrroBzT/dMhgwZElCApE2bNrz55pt0\n6NCBq6++2r8/Li6O+Ph4tm/fjtvtPmWeyNzcXHJzc9mxY4e/sIvNZmPq1Km4XK4C3/M+vkhO39JV\nXxSjbzlv/kIjb775JlCwyMfJfSUnPwbAmDFjAhuYwHYB53oX5rlc1vLcrCxrOW94hPX12v3bAQCW\nf73EOqGhtTn+0CF/H3Xc1rLdO+21AahhLwdAjsd69jlYPydBHmv58CFPJgBf2qy+M8n7+zJzqLX0\n97rYtgA8/Mz9gbdy0tJp33Pz7Tf5ljmf/GxFpOhoAlBEROQiVjk2lPefy0uG7pu0kAtHXFxckU4I\nXIpOZLo5XvoJIK7AsZ/3ZJKTm/fhdPPmzQEfyB0OB+XLl+faa6+lT58+3HLLLQX6qFq1KmXKlAnY\n9+OPPwLQtm3bQsfUvn175syZw6pVq+jUqRO9evVi9uzZ3H777Tz//PN07NiRpKQkWrdufdoCByeL\njIwskAPPZrMRFRXlz9UG8MMPPwBWzjvfREZ+pUuXZtu2bfzyyy9UrVqVn376icqVKxMfH1+g7f33\n500GnMl9z5o1i1WrVgVMALZp06ZA21KlStGgQQNWrlzJ3r17iYuLo2vXrnTt2hVjDHv37mXbtm1s\n3bqV1atXM3v2bCCveMaaNWuAgjnXAEJCQgq97/zS09PZtGkT4eHhfPHFFwWO5+RYKRdWrVpV4Fij\nRo1O2/ffpVevXkybNo2EhASaN29OUlISN9xwA1deeeWfKoixc+dOjh49yjXXXONflp1fkyZNiIiI\n4Mcff8Tj8QRM8pzumdSuXTvgvW8S/oorrijQ1leQJP+k0sl69erFm2++SZ06dWjWrFnAfWviSUTE\noglAERERkfNoz549fP7550U9jEvKr4dzWbLoc0bOKTgB6HHbCAnOmwhJTU2lXr16Z9X/yRVLAY4e\ntRLpn2qy11d8wVfEomfPnmRnZzNq1Cg2bdrEpk2bGD9+PBEREfTp04dRo0YF5Po7lfxRVPmdPNnj\nK1QwevTo0/Z39OhR/+TmyZOcp2oPZ37fPoVNJuXvJy0tjbi4OLKzsxkxYgRvv/02hw7lRTvFxMQU\nqFR75MiRMx53YXyRhBkZGQwcOPCU7Xz3nF9h3xNFYeLEiURHRzNt2jQWL17M4sWLeeaZZ6hcuTKP\nPvooDz300FlNBPrutVy5coUet9lslCtXjp07d5KVlRVQ7fd0z+TkatK+MRUW4Xcm43311VcpW7Ys\nU6ZMYcmSJSxZsoRhw4ZRqVIlkpOTefjhh0/bz8nHQkNDAfx5BwEefcyK7Nt7wIqg25i6GoAGDaxc\nhJdfbkUZVq3imzR3B25tjpP2w7JUawJ92VcbAVjx9VcA/Lh8IQCRJa3clB5vROD+NKsoTdjwCG9P\nJ/x99XXHAlDTG/mXYbO+Fg5jtUmzW38HlHBbX9OFNuvnZWWwNbFtn5N3/2Gzrbyn42dZxY3wDt0Y\naxx2e4S3ZcHq0vm3InJh0QSgiIiIyHmWP1m9nH+JwNQvI3DYf8ftyYsaKhHqYEi/ypyPz6a+yajM\nzMxCj6enW0v7IiIi/Pv69u1Lnz592Lx5M1999RXz589n/vz5TJ48mQMHDjBjxoxzNj7fhMayZcuI\njY09ZbsKFSqQlZUF4N+ezp+5b8BffOJkJ05YkxW+yaNevXoxc+ZM6tSpw0MPPUSDBg2oV68eVatW\n5e677+a9994rMJYzGXdhfM+oZs2azJs375TtiiKirLDoN6fTWWBfWFgYo0eP5oUXXmDZsmUsWLCA\nuXPn8sMPP/Dwww8TEhJy2snNwvqDU399wfoa2+32AhOyf6fQ0FBGjhzJiBEjWL58uf++V6xYQXJy\nMkFBQf6iNSIilypNAIqIiIhIsTNzbB1ueWITC384hsd4iCjp4Kl+cQy4ucJ5uZ5v2e7q1atp165d\ngeO+pbI1a9bE4/GwbNkyDh06RNeuXalduza1a9dm8ODBbN++nbp16zJr1qzT5jw7W7Vq1WLdunX8\n+uuvNG3atMDx2bNnEx4eToUKFYiKiqJcuXLs2LGDEydOFJi8mzhxIh9//DGjR48OuO+kpKTT3nd+\nW7ZsKdDW6XSyYcMGIiIiiIuLY8eOHcycOZPY2FhWrlzpzyfn46uM65sc8+W881VvPlnHjh0xxvDF\nF18U+lxjYmKIiopix44dlC1btkAEZnp6OnPmzKFGjRoFll2fL75IKl/OyPzyL/H2jW/ZsmVERkbS\nrFkzWrZsScuWLRkxYgTTp0+nb9++pKSknNUEYLVq1QgKCiI1NRWn01mguvGuXbv4/fffqVmz5jn7\nXj1bvvuOiIigefPmtGjRghYtWjB8+HA+/vhjevXqRUpKymknAM8kYu0Kb6Vo3/a65s0KbZeXHy/w\neSz4/EsAXnl0kn/fwl/mA5CLdzLX9+m8vndb1oo25LD3/Q1Wg5KdrcjfapT295UQVNE65rYmso8F\nWVG3v9usnxO7y4oI/NZh5eRbZPdO6u62Np68Ffo882wyAI06VLd25LqsbcgfRyWLyIVLCRFERERE\npFj6z0u1mf9WPaY9W5P5bzY4b5N/gL+gxeTJkzl+/HjAsZ07d/LJJ58QGhpKx44dsdls9OzZk1tu\nuYW9e/cGtL388ssJCwsjLCyswHK6wiK+zlSPHj0AqzDByZNJvvx8t912GzabDZvNRpcuXXC5XP6i\nGD5Op5MpU6awYsUKqlSpQrdu3QB44403Cizz3b17Nx999BHBwcHccMMNAcf+85//cPDgwYB9U6ZM\nIS0tjR49euBwOPxLcsuXL19g8u+nn35i4cKF/jEBtGrVitKlS/O///2PXbt2FbjHefPmkZ2dHTBR\nlf+Z2u12unXrhtPp5JVXXinwDCdMmMBtt93G2LFjCxw7X2JiYgBrIjV/FKDL5eLDDz8MaLtv3z6S\nkpJ44IEH/HkRfXxFZU5eevtHSpYsyY033sjRo0d56623Chz3LSnv2rXrWfV7Lh04cICkpCQGDBhw\nzu5bRKQ4UgSgiIiIiBRbibUiSKwV8ccN/6IGDRrQv39/pkyZQqtWrRg+fDhXXHEFa9euZejQoWRk\nZDBmzBh/TryHH36Yxx9/nA4dOvDcc89Ru3ZtDh06xLhx40hLS2PQoEH+paaXXXYZYFUhTU9Pp3v3\n7medt/Dmm2+mdevWLFq0iHbt2jFkyBDi4uJYuXIlTz31FMYYRo0a5c8p+MwzzzBjxgwef/xxjh07\nxk033UR6ejpjxoxhw4YN3Hffff4CIffffz+TJ0/233eNGjVYt24dQ4cOJT09nZEjRxZYdpyenk7b\ntm0ZPXo0lStX5vPPP+e5556jbNmy/iqrdevWJTo6mvXr1/Pcc8/Rp08fjDF8/fXXDB06FIfDgdPp\n9OepK1GiBC+++CL3338/bdu25cUXX6ROnTqsW7eOJ554ArvdzvPPP+8fQ3R0NNu3b+eRRx6hQYMG\n3HXXXYwYMYLZs2fz/PPPc/jwYXr37k1oaCgzZ85k9OjRREREMHz48LP87vjzrrzySmJjY1m2bBl3\n3303t912G2lpaUycOJEdO3YEtE1ISCApKYl58+bRo0cPBg0aRExMDFu3buWpp54C4O677z7rMYwZ\nM4aFCxfy8MMPs3//frp3705ubi7Tpk3j3XffJT4+nieffPKc3O+fUaNGDX+V7W7dujF48GBiYmL4\n+eefefrppwHo16/fX76O8ZbxdRkrGi7IWNGQNpt3ObvNF/lnTTbuOGGF7Y2408od+OGM9wFw569z\n8qI3orK1d1vFOyFdwfcx3Rt550vC5x1DpsfK31faU9HfVRmsisHZtt+94/wNgDCPleNvDdaE+0d2\n6xcUmU5vNN8tGQA8e1NecZ8hzzwccO+ZduuXECXxLa/3LfdWrj+Ri4qRC9LcuXNNUlJSUQ9DvBYv\nXmyuvfbaoh6GeG3YsMHUrVu3qIchXjt37jTx8fFFPQzxSktLM1FRUUU9DMlH/7t1YWrYsKEBzPr1\n68/4nPT0dAOYhg0bFnrc6XSaIUOGmNDQUIP1Sd0ApkyZMub11183Ho/H39btdpvk5GTjcDgC2trt\ndtO/f3+TnZ3tb5uWlmbq1Knjb/PSSy8ZY4yJjo420dHRhY4lPj7eOByOgH3Hjx83ffr0MTabLeCa\nUVFRZvLkyQX6WLNmjalfv36B8Q0cONDk5OT427lcLjN06NAC9126dGnz2muvBdz37NmzDWD++c9/\nmsaNGwe0r1OnjklNTQ0Yw4IFC0x0dHRAuxIlSpinnnrK/Pvf/zaAGThwYMA5EydONJGRkQHnlC9f\n3qSkpAS0e/755/3Hq1Sp4t+/ceNGc/XVVwecD5iEhASzfPnygD5q1aplAON0Ogv9OpyNnj17GsCs\nWbMmYP/ChQtNbGxswFgaNmxoFi9ebAAzePBgf9tDhw6Z9u3bFxh7qVKlzBtvvOFv53Q6DWBq1aoV\ncK2YmJhC/xuyatWqAt8LgElKSjK7d+8OaFu3bt1TPpOrrrrKAObo0aMB+33fF/nv5VT9LVu2zACm\nb9++/jaHDx82SUlJBcYXGRlpJk2aVKDPP8Pj/SfXk2tyPbnG4zbG4zbGeLKsl8n0vizb0w+Z7emH\nTN8efU3fHn2NA4wDDFfke70YbL2Wel/7sV4myPvy/eMIfLkxuDHN3RX9r+/ct5nv3LeZr1zXm69c\n15v3PLXNe57a5m1XnHnbFWcedJYyDzpLmZIGU9JgyC1lvZo4DE0c5tmug/yvk2U4XSbD6cp3jx7v\nS0QuJjZjTlNPXYrMvHnzGD9+PHPnzi3qoQiwZMkSnnzySRYvXlzUQxFg48aN9OzZ85Q5fuTvtWvX\nLq677jp27txZ1EMR4NixY8THxxdYiidFx2azFZrAX4rW/v37yc3NpWLFiqespHsyj8fD7t27CQkJ\noWLFiqdsl5aWxrJlyzh69CgVK1akadOmpyyQcPjwYVatWsWRI0eIiori6quv9kf85ed0OlmzZg3Z\n2dnUqVOHcuXKsXu3lbyrsHx0e/fuxeVyUaVKlQLHDhw4wMqVK0lPTyc2NpamTZsWWGLrY4xh7dq1\nbNmyhbCwMK655ppT3ntaWhrLly/nyJEjVKhQgaZNmxZYepmZmclvv/1G2bJliYiIYOnSpezZs4f4\n+HiaNGlSaB65jIwMli5dyqFDhyhXrhzNmjUjMjISl8vF3r17CQ4O5vLLLz/lObGxsTRv3rzQr8HO\nnTvZsWMHl112GXXr1g24702bNvHTTz/hdrupXr06jRo1KlAAZN++fTidTuLj4/9y5dNDhw6RkZFR\n6PdkTk4OS5Ys4eDBg1StWpVrrrkGYwx79uyhVKlSBaoqb9u2jfXr15OVlUVsbCxNmjQJ+BobY9i1\na1eBZ7dnzx6MMYV+TxljSE1NZcuWLQQHB5OYmEg1bz68M30mvp+7uLi4gGfp+74o7F5O7i8nJ4df\nf/2ViIiIAtWJt2/fzvr168nMzCz0vv8K39/i6d7CQiW9wXlBvmA9b5TckSNWRGrX9lZagO/XLLLa\nv299TTP75C3Bt2Pl66vsjfCL8GboijdWbr+a3nx+JR3WPfyEFb23ECt1wDFP3pLnro4GAHTxLvJz\neX4F4H+2YwB8bbNy/jmxIqJzOlsFd1qtbAHAt3u+z7tZ7z3l4vGeY92z3VsFuIQtyn8HInLx0ATg\nBUoTgBcWTQBeWDQBeGHRBOCFRROAFx5NAIqIXPw0AagJQJGLnXIAioiIiIiInCMulwuXy/XHDb1s\nNhuhoaHncURyLkV4gxrtIR7vHmvybuH3ywG4p1sfALb//jMA4autCbeMRtaEWx3yojs7e6wiJTU8\n1kSaL0Y11B5pbYOsPZGmMgC9vNf6zLUWgKEm1d/XZ46fAFjp/YgfYbcm7X72f+S3+vI0t8ZRe5VV\nmXv2ts+sw/lmBlwuK2+gzW7tDPPesw1fFWBN/IlcjPSTKyIiIiIico688MILlChR4oxf1113XVEP\nWURELgGKABQRERERETlHbr31VhITE8+4fZkyZc7jaCQ/g2/JrC8Oxgpt8/j3Wsdt3mW+xpaXk9Ll\nzWfo8Oc1tI59+ulMAG65pYe125f2cqV1PKORtfS2OVYF8H4mL+eiw25FfkblWnkPQx3Wdd12q7Jw\nrnd8mS5rWfFuhxU9uNlmvSc7381Ns+5iX4Z3Z7x3/2Ermo+XrE1NpxX597918wAoVTna+wxy8u41\nyHuPxnoewXirFP/FPJciUrQ0ASgiIiIiInKOJCQkkJCQUNTDEBERCaAJQBERERERESn2bG5v5J83\nks3lrezhMR7vbmvrr9tkyyvgFOwIjH77cPoHANzR18r550uPV2Kxlb8vq76Va6+nsapm96IOACHk\ny/fosaLujDefYK7dytOXaaxxBhsr0i872Np+jVXQ41u7t9DXvLyuqr9iVWTu1/JeAKY9+w4ANeKr\nANA7uTcAtw68HQBHcGA2MHu+cfnrZSvgT6RYUQ5AERERERERERGRYkwRgCIiIiIiIlLsZXsj/GzG\nqtLsTblHiPFW5g0K/sM+Pnr/UwDuuNMb+RdjbUr/tyQAafXTAfg/t5Vrr7/DygcZ5Lai/Y460v19\nhXucABzxjuuYN6lfrjkOQFm71Xavsc6dY9sPwG5PuNXBs3njeqD7XQA8/MoTADzy1kPWPQZZH/mD\nggI/+htvmKNNef1ELhmKABQRERERERERESnGNAEoIiIiIiIiIiJSjGkJsIiIiIiIiBR/NmuJrcv7\nMdhu8y79tVvLYDPSrSIbu/fsASD4eIT/1JEPDwPgvRVW8Q9HrFU0wzbfWjacVs8q+nGHx1r6O4hG\nAGSbDAB+dVjLeI/l1RUh3WGdk+vbZ34HoKTNGsc+lzWuj7zj223zLv19wloi3Dm8k7+vh195OuBW\nQ8KsUh4nL/D1eDwB77UEWOTSoQhAERERERERERGRYkwRgCIiIiIiIlLshTm9EXS+Wh/e4Ld/z/kf\nAK/cNxKA1H3LAXBXy4uX8VT3Rs6NsD5Ce+6ywvZKVraiCAd4rIi/xygPwC/eaL59tkwAnMbahrpz\n/X2mO7KsvrCKkthNmnWu3YoWnBkUafXhLQ7Cu1Y0YfRYK/pw3Lf5qoB4ZbmtcYb6ogod1k36Iv3s\ndsUAiVyq9NMvIiIiIiIiIiJSjCkCUERERERERIq/kMC3T95v5c176Y1R1o47vAcGOKxtA7e/bVCE\ntc+XPzAUK9KuusuKKvzNbh1/wL7Jamc/CEA0ZQCo6LGi9sqR6e/zgDey74DbigBc57CiA7d4+3b7\n2j5mRQrGfVAWgC+++hyAK1pd7e/LbayQv2BvjI8vANCuFH8i4qUIQBERERERERERkWJMEYAiIiIi\nIiJyydiwYjUAr7wxGoDgIVZ0nmeUFTdXwdsuI1+8zFF/PV0ras+BVWX356CjAKS69lqHvZF4/lNt\nViRgCW9QYVnveQBOb5ze70FWzj9/esBPvNs3rci/Gx3XA/D2vPcBiE2MBfJVDwbs3hSFQY5T3raI\nXOIUASgiIiIiIiIiIlKMKQJQRERERERELhnvTbFC7DwlrRC68o+WAsCOFYJX1ljhdE6bM++kI1YE\noOPfVrRgxnZvZd6l3uNrvFtf2kBfGKE3TV9WvLXd1zo7r09fW6voMFFbSgPQdOdVAAy6634AOg3q\nHngDHm++P1tegj/jULI/ETk9RQCKiIiIiIiIiIgUY4oAFBERERERkUtG2zYtABj7zisAHPrWysFX\nsodVjfeQN5jONS2vCjADrWhAb8FeKkdeBkBSi/8DwNPWiq1x5VgNHA4rSs+e692/xdpv3xbs7zIj\ny6rye03dawHo8UhnAKq0jAsYr8ebK9Ab+EeQN/IvXwAgiv8TkT+iCEAREREREREREZFiTBGAIiIi\nIiIiUuwZrNx+N/buAsCLq54E4OmbxwBwYpC34TLvdlXeuY3irgDg0REvAtDpxg4AlL6szDkcoTU+\nj/GGGXo/rtu9oX52hfmJyF+gCEAREREREREREZFiTBGAIiIiIiIiUuzZvPEvud73T706GoArGycC\n8PaEzwCIqhILQLdn2vrPbd+xNQAhIaXO/cBc1og8Dl/Enz6mi8i5pwhAERERERERERGRYky/WhAR\nEREREZFLhq8Or6/Gb1LvWwO2p2e8//ZW4jXe0ry+Orwn5+kzJ723FXIsKARQdI6InF/6O0ZERERE\nRERERKQY0wSgiIiIiIiIiIhIMaYlwCIiIiIiInLJ8K3CdfiW79pOXrf7x2f7z/ijc093+GwuKyLy\nF2kCUERERERERC49ZzXxJyJycdMSYBERERERERERkWJME4AiIiIiIiIiIiLFmCYARURERERERERE\nijFNAIqIiIiIiIiIiBRjmgAUEREREREREREpxjQBKCIiIiIiIiIiUowFFfUARERERERERKQgY0zA\ne5vNVkQjEZGLnSIARUREREREREREijFFAIqIiIiIiIgUoT+K9PO997Xzbe12xfSIyJnR3xYiIiIi\nIiIiIiLFmCIARURERERERIqQ2+0G8iL6fBF/Ho+n0P3KBSgiZ0sRgCIiIiIiIiIiIsWYIgBFRERE\nREREilBQUOBHc1+OP4fDEfD+5IhAEZEzpb81REREREREREREijFFAIqIiIiIiIhcwJT7T0T+KkUA\nioiIiIiIiIiIFGOaABQRERERERERESnGtARYRERERERE5ALiW+qblZUFwObNmwFwu90AVK9eHYDS\npUsXwehE5GKkCEAREREREREREZFiTBGAInJR2LEvm8NpTq6uG1nUQxERERER+Vv88ssvALRt2xaA\n9PR0AN566y0A+vXrVzQDE5GLjiYAReSCZgw0u3Mt67eeoESYgzKRQUx62FHUwxIRERERERG5aGgC\nUEQuaFfevpq1m08AkJnt4fc0J/94Yg8VXKaIRyYiIiIicn55PB4AcnJygLwcgL4cgSIiZ0oTgCJn\nyOVysW/fvqIexiXlyyVH2LYns8D+9AwXtt9zi2BEIiJ/bEnqcfYcyKZRrQhqVSlZ1MMREREREdEE\noMiZCA0NZd++fTRp0qSoh3JJOZHl5tGHBjD8szYFjrkUASgiF6CWd6ey4ZcTeDxQOjKIkQ9WKeoh\niYjIRcwX6RcUFFTofhGRM6UJQJEz0LhxY/bs2VPUw7jkzF9+lN5DNwPOgP12O4SFqoi5iFxYWt61\nliVrj+P79cTxDDf9X/i5SMckIiIiIgKaABSRC1iHpmW4uUM5ps04QG6+iL+Y6BDK2kKKcGQiFzaP\nx8OKFSuKehiXlO37sli3xWAILFKUle0pohGJiIiIiOTRBKCIXNBeH1KDIIedqTN/JTTYQfPESJ6/\nuwx9ehf1yEQuTEFBQVSoUIHBgwcX9VAuKWnpLu7q0IIJ33Yv9LjbY3DYtVxL5FS2b99OZmbBvL82\nm41SpUpRsWJFHA5HgeMbNmwgJCSEmjVr/h3DFBERuWhpAlBELngTHr+CCY9fgdNlCA6ysXHjxqIe\nksgFKzw8nC1bthT1MC45h9NcXN1rNZBd6HFN/omcXp8+fViyZMkpj4eHh9OtWzdeeuklKlSo4N9f\nv359atWqxebNm/+OYZ6VgwcPMmXKFJ555pmiHoqIiIgmAEXk4hEcpA/QInJhKlc6iCnP1KD7oz9x\nItPt3185JgRlkBU5c506dSI2Ntb/3hhDWloaixYt4sMPP2TFihWsXr2aiIiIIhzlmalVqxaxsbGa\nABQRkQuCJgBFREREzoEOTcsw4+U6PDlxB9nZbhrUiGD6C7UICy3qkYlcPIYMGUKLFi0K7D98+DDN\nmzfn559/ZurUqTzyyCNFMLqzc+zYsYDJTBERkaKkCUARERGRc+T65mW4vnmZoh6GSLFTrlw5kpOT\nGThwIAsWLDijCcCjR4+ydetWsrKyKFOmDLVr1yYk5NRFxIwxbNu2jX379nHZZZeRkJCAzVb46gNj\nDFu2bOHAgQNER0dTp06dQnMUns5vv/3G1q1bsdvt1KlTh9KlS5+2vdPpZN26dWRmZlK3bl3Kli3r\nP/brr7+ydetWoqOjqVu37inHfTZ27drFzp3GuZjRAAAgAElEQVQ7CQ8Pp169eoSFhRXaLjc3l40b\nN3L8+HHi4uKoWrXqKfs8ceIEGzZswOl0EhcXR1xc3DkZq9PpZOPGjaSlpXHZZZdRq1at03498j/L\nhIQEypcv/5fHICJyobMX9QBEREREROTS4HQZtu7OxJizP9c3SVNYsZD8tm7dyg033EB0dDRNmzal\nTZs2JCYmEhMTw6uvvhrQ9sEHH8Rms7Fq1SpatmxJjRo1aN26NXXq1KFBgwasXbu2QP8pKSlUr16d\n2rVr06ZNGxo0aEDVqlX54osvAPjwww/9k1pbtmzBZrPxf//3f/7zd+zYQadOnYiJiaFly5Zce+21\nlC9fnr59+3L06NGAayUmJpKQkMCCBQuoVq0ajRs3plWrVsTGxjJu3Diys7Pp168fl19+Oa1bt6Z+\n/fpcddVV7Nu3D4Ddu3djt9uJj4/H4ylYlXzGjBnYbDaGDBni3/fDDz/QpEkTqlSpQuvWrbn66quJ\njY1l0qRJAed6PB5efvllYmJiuPLKK2ndujXVqlXjmmuuKfDccnNzGTRoENHR0TRr1oxWrVpRpUoV\n6tevz7fffnvar+cfeeutt6hQoQKNGjWiTZs21K1bl4oVK/LGG28EtLv55pux2Wx8//33VK9ePeBZ\n3nXXXWRkZPylcYiIXOg0ASgiIiIiIufd1BkHiL9hBe3vW0/1m35g7tKjf3xSPr6JooSEhFO2SUtL\no3Xr1nz11VcMHjyYlJQUZs2axZAhQ8jOzuaRRx4pdMKpS5cuHDt2jPHjxzN16lTatWvHhg0b6N69\nOy6Xy9/uv//9L927d+fIkSOMGjWKuXPnMm7cOI4dO0bnzp1ZtmwZV111FePHjwesScvx48dz7733\nAtaEXLNmzfjiiy+44447mDlzJp988glt2rRh+vTptGvXjqysrICxHThwgP/7v/+jSZMmvP322zz3\n3HM4HA4effRROnbsyIIFCxgzZgxTp06lSZMmrFmzhuTkZADi4uJo27Ytu3fvLrTIyvTp0wHo27cv\nAGvWrKF169asXr2axx57jC+++IJ33nmH0qVLM2jQIN59913/uY899hhPPPEEFSpUYNq0acydO5fh\nw4ezceNGWrZsyYYNG/xtn332WSZNmkSnTp2YMWMGX375JUOHDmXLli106tSJgwcPnuYr///s3Xd4\nFFXfxvHvbhrpdKSJ0kvoCCJoQKSJ+lBFiorlFRSsKJYHxccCKigKIhZQEFERQZpAEARBivSmgPTe\nSxICpO15/5jZCcsmNIFguD/Xtdfsnjkzc3azoPlxzzlZmz59Ot26daNo0aJ8/fXXxMXFOYXKJ554\ngunTp/sdc/fdd1OmTBlmzJjBL7/8QpMmTRgxYgTt27fHXExlWkTk38LIVWn69OmmadOm2T0MkavS\n2rVrTaVKlbJ7GGLbtm2bKVGiRHYPQ+Sqpf/dEjHm8/F7TejN8wzVfnMekfV+N9PnHzHGGFOvXj0D\nmHnz5vkcl56ebrZv32769u1r3G63cblcZsmSJc5+wJQrV855PWjQIAOYnj17+o2hX79+BjCvvPKK\n09a9e3cDmFq1aplTp0457WlpaSYmJsYAzvVSU1NNsWLFTEBAgFm6dKnPuSdNmmQAc9ddd2U5NmOM\n6dixowHMa6+95vc+27ZtawDTt29fp71q1aoGMN26dfPp/9JLLxnAREdHmz179jjtx44dM8HBwSZP\nnjxO2zfffGMA89hjj/mc4+DBgyYwMNDUqVPHaWvcuLEBzNdff+3Td+PGjSYwMNCUKFHCeDwes2LF\nCgOYsmXLmvj4eJ++cXFxBjB33HGH01a6dGmTO3duk5aW5tP3xRdfNJGRkWbcuHHmYnTp0sUAZtmy\nZT7tP//8swkODja9evVy2tq0aWMAU7duXZOSkuK0p6ammvr16xvAzJgx46LGcTmtXLnSrFy50kRG\nRprIyEgDGMAMHz7cDB8+PLuHJyL/IkoAioiIiIjIZXPilIc+n2zj5CnfW1ATk9J58t1NPm2xsbEE\nBgY6j4CAAEqUKMErr7yCx+OhX79+1KpVK8tr3XvvvcyaNYvnn3/eb1/FihWt6yYm+u175JFHCAnJ\nWLEnICCAW265BbAWIAFYtGgRu3btonnz5tSsWdPn+BYtWjB06FB69eqV5diSk5MZP348ERERPrfc\nArjdbt5++20ARo8e7Xfso48+6vO6evXqgJVmK1y4sNMeHR1N0aJFfW4lbtWqFVFRUYwdO5bk5GSn\n/fvvvyctLY0uXboAVnpy5syZXH/99XTu3NnneqVLl2bUqFEMGTIEj8fjjLFnz55ERUX59G3SpAmV\nK1dm5syZHDx4EIDQ0FCOHTvGiBEjfMbw1ltvER8fT+vWrbP83M4mLCwMgGHDhvm852bNmnHixAne\nffddv2N69+5NUFCQ8zowMNCZU3LcuHEXNQ4RkX8DLQIiIiIiIteMXLly+RQg5MrIV/NDoLpfe2qa\nYffBFOd16dKliYyMdF673W7y589P5cqV6dChA9WqVTvrdQoVKkShQoVITExkzpw5bNy4kc2bN7N6\n9WrnFtjM5sK74YYb/NoiIiIAnFuAvbe01qhRw6+v2+2mW7duZx3b1q1bOXXqFPXr1yc0NNRvf9my\nZcmbNy/r1q0jLS2NwMCMX9VKlizp09e7mEmRIkX8znN6cQusItl9993H559/zrRp02jZsiUAo0aN\nIiQkhPbt2wOwfv16jDFUq1Yt04U57rvvPuf5qlWrAJg8eTLLly/36+stsq5bt44CBQrQs2dPunTp\nwqOPPsrTTz9Nw4YNadasGXfffTfXX399Jp/W+Xn88ccZMWIEQ4cO5bPPPuPmm2+madOm3HPPPVSt\nWjXTY+rWrevX5v1e/fnnnxc9FhGRq50KgCIiIiJyzQgKCuLQoUNOcUcuvxOnPPR/901en+C/LzDA\nRdECGSvzDh8+nPr161/0tdLS0ujduzcfffQRp06dsq4RGEiVKlVo0KABkyZNyvS404ttXmcWwY4f\nPw5w0d8d7/FnJuZOFxUVxZEjR0hJSfEZ05lFvazGmFVbly5d+Pzzz/nmm29o2bIlGzZsYPHixdx7\n773kyZPHZ3zn8/4SEhIAmDNnTpar7UZHRzvzGT744IMUKlSIQYMGMXPmTKZMmcKUKVPo0aMH//nP\nfxgxYsQ5V0HOTExMDEuWLOG9995j4sSJLFiwgAULFtCnTx+qVq3KqFGjqFy5ss8xmV0nPDwcIFsX\nAjH2/INn/vyyWiX5UqyeLCLXFt0CLCIiIiIil01YLjeFKj1GWC7fXz0iwwP4qFfpS3qtfv368e67\n73LDDTcwYsQI/vzzT5KSkli2bJlzq+vF8hbGvMWvM50rWepNNp650q+XMYYjR44QFBSUaULwn7j5\n5pspV64cU6ZM4dixY87iH6d/Jufz/rxFKm/fOXPmcOzYsSwfTZs2dY5v1qwZU6dO5ciRI0ydOpWn\nn36a/PnzM3HiRGfRkotRsWJFRowYwcGDB1mwYAFvvPEG5cuXZ9WqVbRp08Yv8ZnZLeCHDx8GIG/e\nvBc9DhGRq50KgCIiIiIicll1a1uY958rRaF8wVx/XQg3Fs3Fd/0qcGf9PJf0Ot7C1o8//siDDz5I\nxYoVndtlN22y5hs0F7nSa0xMDABLlizx22eMoVy5chQtWtRn1eDTlSxZkoiICFauXJlpEWr16tUk\nJCQQExNzydNdLpeLhx56iOTkZCZNmsQPP/xA4cKFady4sdOnQoUKuN1uli1blult0u3atSM6OppN\nmzZRpUoVgExXVAZ4//33GTBgAEeOHOHYsWN88MEHfP7554BVPGzevDkffvgh8+bNA+D333+/qPf1\n1Vdf8corr2CMITAwkLp16/Lqq6+ycuVKihcvzsaNG9m3b5/PMYsXL/Y7z8KFCwH85na8mhljtGqx\niFwQFQBFREREROSy69auMDun1yHuk8psmlSbFrde+rRVVsW3AwcOMHjwYABSU1Mv6tw333wzJUqU\n4JdffmHRokU++yZPnsz27dupXbu2c+uu2+3mxIkTTpEmKCiI++67j5MnT9K7d2+f4k1qaqqzMEin\nTp0uanzncv/99+N2u/nwww/ZtGkTnTt39rnNODo6mjvvvJO9e/cyfPhwn2PXr1/P9OnTKViwICVL\nlnQWCenfvz+7du3y6etdhGXgwIFERkYSHBxMnz596NWrl18xznvL7XXXXXdR72nUqFH069ePGTNm\n+LSnpaWRnJxMrly5nFucvd58801SUjLmnYyPj+fdd9/F5XLxwAMPOO2HDh1i7dq17Ny586LGJiJy\ntdEcgCIiIiIickUEBboof2PYZTt/q1atGDhwIO3ateOll14if/78rFmzhkGDBjlz1XlX9b1QgYGB\nfPrpp9x11100btyYHj16ULFiRdasWcPgwYOJiorinXfecfoXLVqUnTt30qhRI+rUqUO/fv3o27cv\ns2bNYtCgQWzatIlWrVqRkpLCiBEjWLJkCfXr16dHjx6X5LM4U5EiRWjatCnTpk0DrHn5zvT+++8z\nf/58unXr5oxn586dfPTRR6SnpzNo0CDcbjc1atTghRdeoH///tSoUYPu3btTsmRJVq9ezZAhQ3C5\nXAwZMoSgoCCCgoLo1asXr732GnXq1OHxxx+nWLFi7Nixg48//hiAF1544aLeU+/evZkzZw6tW7fm\niSeeoEqVKsTHx/PVV19x4MABXnrpJb/bqefPn0/9+vV55JFHSE5O5uOPP2bjxo28/PLLVKpUyek3\nYsQIXnjhBdq3b8/3339/UeO7EFmlPrNK+Sn9JyIXSgVAERERERHJVhEREURHR2e5oERWoqOjfVYN\n7tu3L4mJiYwcOdIpcOXPn59u3brxwgsvEBMTw+rVq0lJSSE4OJjQ0FCio6MzXQQkV65cfvuaNWvG\nzJkz6dmzp0+xr379+gwZMoRy5co5bQMGDKBbt27Mnj2bzZs3069fPwoUKMDChQt5/vnnGTt2LFOn\nTgUgT548vPjii7z22muEhIQ454iMjCQ6OtpvbEFBQURHR5MrVy6/fVkdA/DQQw8xbdo0brrpJp9i\nl1fZsmVZsGABzzzzDMOGDeOLL74ArNuDR40a5TOn37vvvkupUqV45513eP311532KlWq8O6779Ks\nWTOn7b///S+BgYEMHDiQl19+2WmvVKkSQ4cO5e677850vOdy++23M2HCBF588UUGDBjgtBcqVIh3\n3nkn08Lil19+6fxswEofDho0yK/wGhISQnR0NGFhl69gLSJyJbmM/ungqhQXF8fAgQOZPn16dg9F\n5Krz559/0r59e9auXZvdQxFg+/btxMbGsm3btuweishVyeVyKalxFYmMjGTv3r1aBTiHO3HiBDt2\n7CBXrlxcf/31uN2XfuajgwcPcvDgQQoVKkS+fPky7ePxeIiPjycqKsqvuHnq1Cm2b99OUFAQJUqU\nuODi58UYPXo0nTt35pNPPuHxxx8/a9+EhAR2795NdHQ0hQsXPmtCbc+ePcTHx1OgQAEKFCiQ5Tk9\nHg+7d+8mMTHxnH0v1MGDBzl06BDh4eEUK1bM72fetm1bxo0bx5o1a6hUqRI7duwgLS2NG2+88bJ8\nPy6V1atXAzirY3vnj/zyyy8Bq6grInI+lAAUEREREZEcJSwsjPLly1/Wa5xPAcvtdvvNQeeVK1cu\nn8Tg5WaM4bPPPiM8PJyOHTues39UVBRRUVHn7OdyuShatChFixY9Z1+3203x4sXPa7wX6kIKii6X\nixIlSlyWcYiIXK1UABQREREREcmhZs6cyYoVK1iwYAHz5s3jueeey/IW4ey0efNmDh48eN798+XL\nR5kyZS7jiK4O6enpACQnJ/u0Z7XgjYhIVlQAFBERERERyaE2bdpEr169AKhRo4bPfH1XkzfffJOR\nI0eed/8rtTiHiEhOoQKgiIiIiIhIDtW+fXvy5ctHeHg4d9xxB8HBwdk9pEwNGDDggoqT4eHhF3T+\nTz75hAEDBlCkSJELHFn2yuq2Zo/Hk0mrd77ZzOdrFJFrmwqAIiIiIiIiOVSePHlo165ddg/jnPLn\nz0/+/Pkv2/kLFix42c4tIvJvoAKgiIiIiIiIyCVy5srv3hWUve2nr6jsncvPu6rvH3/8AeAkFVu2\nbAnAN9+MAmDXrj0ANGzYMLMrn7HNytW76rGIXD76ky8iIiIiIiIiIpKDKQEoIiIiIiIicomcmfg7\nMxF4uu3btwPQs+cLABw/nuCzf/y4SQCsXLkcgKDggLNc2ZvvOd8koIhcS5QAFBERERERERERycGU\nABQRERERERG5RDKb6y8raenWHIChoWFARgIwwB0CwF/rVgMw+pvvAOjycGcAPOnW8e5MA4He6yoB\nKCIZlAAUERERERERERHJwZQAFBEREREREblEzkwAni0RWKZ0aQBuuqk2AFOnWnP+pXuSffolJMb7\nvHa5vOm+s6UMlfcRkQz6G0FERERERERERCQHUwFQREREREREREQkB9MtwCIiIiIiIiKXiNtt5Ww8\nHg+QcQtwQECAz2urr9X24ovPA5CQcASA5OQUIOO24eLXF/W5hst97gVGREROpwSgiIiIiIiIiIhI\nDqYEoIiIiIiIiMgl4k34eZOAXunp6X7tHo/V97bbbgVg3rw5AKSkpPr0DQwMts+RZrdbycHMFhYR\nEcmMEoAiIiIiIiIiIiI5mBKAIiIiIiIiIpdIVqk8b/vp+zOeeucFtJJ9wcEB5zjHPx6miFxjlAAU\nERERERERERHJwZQAFBEREREREbnMzpwT0Nf5Rfq8c/+JiFwoJQBFRERERERERERyMBUARURERERE\nREREcjAVAEVERERERERERHIwFQBFRERERERERERyMBUARUREREREREREcjAVAEVERERERERERHIw\nFQBFRERERERERERyMBUARUREREREREREcjAVAEVERERERERERHKwwOwegIiIiIiIiIiIXH7GeWI9\nc7m8Da5MemdyvHHOgMt1fsfI1UEJQBERERERERGRa4jBWwzMeCY5mwqAIiIiIiIiIiIiOZhuARYR\nERERERERuQYYj8faehtcVi7sZHIqAAnJ6QAUisrle5x9669uAf73UgJQREREREREREQkB1MCUERE\nRERERETkGuB2++bAevcfCcAPn70LQJTrIACpoTcA8GY/q/2eFrcD4DrPxULk6qMEoIiIiIiIiIiI\nSA6mBKCIiIiIiIiIyL+cMWkAeFwBdos1n1/AaaWf3YcTALi5YWsAktbMAuDrttb++tWs7Ye/HALg\nya6PAHDb3+sByB0WchHjsuYN1JyB2UsJQBERERERERERkRxMCUARERERERERkX8pQ5q9tQSk288C\nrJLPnMVrnL4N6zQBoHOxfQCMGmbvKFbQ2gbnBeD1e63tH/ctAODLrycD8Fy3ts65Vm/YCcDhI4kA\nxN5cEQC3HfQ7fcVgyX5KAIqIiIiIiIiIiORgSgCKiIiIiIiIiPxLGWOVdgweqyHAynrN/GM5AI1v\nruv0fb9WCgDPvWTH9HKVso4NKgaAy2Wn9oILA1CpzN8AnDh6FIDJs+Y653rwzlirq/26+f1PAvDV\nsEH2uVz2+JQEvBooASgiIiIiIiIiIpKDKQEoIiIiIiIiIvIv5U3YBbh9M149uj4LwDMVU5y25x6z\nth5PIQDcYcUBcLkirB3ec6RFAXBX/RgA7vnfW1a/9IxzLRhcHoBKpZIAKNBkMACDb20KwJMPtrCu\nZc9RGIB3dWI7Gei80urAV4IKgCIiIiKSIx04ksqzAzaz71AKVcqGMfD50tk9JBEREZFsoQKgiIiI\niOQ4O/clU7ndUuKPpwMwZ9kxJs89ks2jEhERufRcdsIOggCYuvAvAPLstebre75TRt+THmvGvtDo\nYvbBuaxtgL0NjrS26VYisHz5sgAkHpoDwMf/reOcq1LLqtaTxO0AvPmYtSrwF0M/BDISgAEua1ze\nyJ9xpdsv3fb45UpQAVBEREREcpyGj612in8AHg9s3nmKwGRPNo5KREREJHuoACgiIiJymd1///3Z\nPYRryqFjqRw+0AYo5Lcv3WNIS9dqhCIikoO4A3xe7tu7F4Bg+9/B8odn7POE2i+CrFSecdkrCAeE\n2qeytqTb/QKtfzgb/NqdAHRrfdp0Glv2W9s0K4HYrX0lAL79ZSYAX46bA8DDbRpY3bxzAaa7Mhu2\nXGYqAIqIiIhcRn379qV48eLZPYxryr5DKVTZu5T3ZrTIdH9ggG42EhERkWuLCoAiIiIil9HLL7+c\n3UO4JtXqtAJI9GkLDnRhVPwTEZEc5sxce+FC+QE4ZSfs4jNmxKBALnuuP7sc5PJ4Y3jW1psIdKVY\n/728Ln8+AHo8fLPV7fAh51yeVOsYV5p9TF5r27SCtX/UyO+AjARgoDdt6PbOAWiNXKsAXxnuc3cR\nEREREfl3WTyqOhVKhhERZv3vboE8QTz4n0KEBOt/f0VEROTaowSgiIiIiOQ4bjf8Na4W300/wI69\nyVQqFc5dt+Xlu3eze2QiIiIiV54KgCIiIiKSY3VoVjC7hyAiInJZuY2dbrfvpL25RkUAksKse3H/\n2rPO6dugVoL1xHtbcIB9G66xFvvApNn7U3zOybGT1jb1ZMZ1z3x20Dr2vprWy5++/gmArXveA+DG\nItHWKV3WNQ1aBeRK0j0QIiIiIiIiIiIiOZgSgCIiIiIiIiIiVxFz+soeLiuu5zLeOJ5v4s91xhoa\neUKDAKh+d0cAug1+1dm3/k476VfshLU9GG5tU5Ot6wZ4z233Sw+2r20lAk36qdPGmGSNxmUd60m0\n+pQqYO0PP3kQgJnzlgHwf+1vt49z+4w7MTFj0a7ly5cDcOTIEQAaN24MQEREBPLPKAEoIiIiIiIi\nIiKSgykBKCIiIiIiIiJyFTD2HHwek3paaygAAWck/bwhwVP2k2B7v3dmvVGDegPQZOd255hi7YcB\n0LeTlcpr274cAGEVSgLgCslldUyyUn0cO2ZdK8Wety89Y1wutz1PYJo1r6Dn+B4Atm22mo+csJKI\nJUsV9hl3uj0HoLcg9cor/3X2ffzxYADq1KkDwEsvvQTA3LlzAShUqBBycVQAFBEREREREUdcXBwH\nD1q37jVs2JCiRYtm2TcpKYmffrIm+r/xxhupV6/eP7q2MQbXafczTpo0iYSEBDp37vyPznut+/77\n7wkMDKRt27bZPZSrWmpqKmPGjCFv3rzceeedl/Vax48fZ8KECRQuXJhGjRpd1muJALiM8bmzXK4S\ncXFxDBw4kOnTp2f3UESuOn/++Sft27dn7dq12T0UAbZv305sbCzbtm3L7qGIiJxTZGQke/fu1VxC\nImdRv3595s+fD8Arr7zC22+/nWXf77//ng4dOgDQqVMnvvnmm4u6Znp6Op9++ilpaWk8/fTTTnv5\n8uXZsGED+rX1n4mIiCAiIoJ9+/Zl91CuasePHycyMpKaNWuydOnSy3qtbdu2ceONN9K0aVOf3/s9\nWHPveTxpTlug25qH78Axa/69Nz/4DID1i2cDcGLvegDCo62kXWDhGABatW0OwP+1yyhmTpy3EoDX\ner4AQFD8EgAK5YoH4MZ8Vr+WsVbh/457a9hH2rnCPccy3oTbmgMw7aCV/AvctxuAntbwWFTEKjjP\n/2Wsz3s39orDLpc1K92dzTPGV6CgNYHgyJEjAbjlllsAiImx3tPnn3+OXBzNASgiIiIiIiKZ+uGH\nH85afPvuu+8uyXV+/PFHevTowdGjRy/J+cTXTTfdRI0aNc7d8RrndrupU6eOU2y6nEJCQqhTpw7l\ny5e/7NcSAd0CLCIiIiIiIpmoWbMmy5YtY9WqVVSrVs1v/9GjR5k2bRolS5Zky5Yt/+haSvhdXrNn\nz87uIfwrhIWFsWjRoityrcKFC2d6Le9Kv97UH8DitX8D0KB+QwAqxFuJu/Z2Tbd6WWt7OGEDAAtX\nzwHg458+BuC/T5V2zjV2ys8ArFr8CwCbtlup0CkzrGTg8qW/AfDsWCuVmDZoMgBf9y4OwE1Nw51z\npa3aBUDS5uMAHD9stU/dam1f7/+U75tz/pz7/nnPly+f8/zPP/8E4I8//rDGY68KrGkA/jkVAEVE\nRERERMRP+/btWbZsGT/88EOmBcAJEyaQmppKhw4dsrxN2BjD4sWLWbFiBWlpaVSoUIHY2FgCAzN+\nFd2yZYszlci+fftYuXIl119/PXnz5vU51969e5kxYwbx8fGUKlWKxo0bExwczJk8Hg9Lly5lzZo1\nJCYmOrd0Vq1a1Wd+wQMHDrBnzx7KlClDUFAQM2bMYPPmzURHR9OkSROKFCmS6XuKj49n5syZ7Nq1\ni4iICOrVq5dlissYw8KFC1mxYgWBgYHExsZSvnx51q1bhzGGihUr+vVfunQpy5cvJzU1lfLlyxMb\nG0tQUJBPv23btnHs2DGqVavGsWPHmD59Ovv376dIkSI0a9aMyMhIn/6rV6/G7XY7ybZjx46xbds2\nChYs6Pc+4+Pj2bp1KwUKFHDmf9y5cyeHDx8mJiaGpKQkpk6dyoEDByhZsiRNmzZ1fg7Lli1j0aJF\nBAcH06hRI0qWLJnp53IhvJ/JsmXLnM+kQYMGfp8JwO7du/n999/Zv38/brebUqVK0aBBA0JDQ50+\nKSkp/PXXXxQoUIDcuXMzdqx1e+pdd91Fnjx5WLNmDaGhoZQrV87n3MnJycybN4+NGzeSnJxMgQIF\nqF+/PiVKlMh03ElJSfz6669s3bqVsLAw6tWrR4UKFfzGERkZSalSpf7x5yRyTkauStOnTzdNmzbN\n7mGIXJXWrl1rKlWqlN3DENu2bdtMiRIlsnsYIiLnJSIiwiQmJmb3MESuCn9tTjITZh82f21O8mmv\nV6+eAczKlStNdHS0KVWqlPF4PH7HN2nSxBQvXtz8/PPPBjCdOnXy2b9161ZTp04dgxX3cR5lypQx\ny5cvd/q1aNHCr8+oUaOMMcaUK1fOAFbS9DwAACAASURBVGbw4MEmODjYp0/p0qXNpk2bfK65YsUK\nU7FiRb/zAaZp06bm+PHjTt/+/fsbwHz11VemdOnSPn2DgoLMkCFD/N7zkCFDTEREhN+5W7dubY4d\nO+bT98CBAyY2Ntav74svvmjKli3r9/9P27dvN7fccotf/5IlS5rFixf79G3fvr0BzNSpU03u3Ll9\n+ufNm9f8+uuvPv3Dw8NNoUKFnNdjx451xnKmn376yQCmZ8+eTlvXrl0NYMaOHWvy5cvnc70aNWqY\nw4cPm/vvv9+nPSAgwHz99dd+578QmzdvzvQ7VK5cObNu3TqnX1JSkrn//vuNy+Xy61uoUCEzf/58\np+/OnTsNYLp162Zuuukmp98999xjEhMTDWBq1qzpM44xY8aY/Pnz+53b5XKZXr16+Y179OjRJm/e\nvH79u3TpYpKTk40x1p8P7/cyMyeSU51HdNEYE100xjxZAvNkCYz5IMCYDwLMyQEuc3KAyxzr5zbH\n+rlN0ocuk/Shy5ih2A+XMUNdZsRdOA/vWL4aO918NXb6OX8GL7z9mXnh7c8MBBsINg/eiPPY8Jz1\nMG9bj5ZR1qPO7feaOrff638yT6oxnlTjMenGY9Kd5ieffNJ5eMdXq1YtU6tWLfPGG2+YN95445zj\nlHPTHIAiIiIiIiLXmFcGb6NR19U8/PoGGnVdzX8Hb/PrExISQsuWLdm8eTMrV6702XfgwAFmzZrF\nfffdh9vt/2tlfHw8t99+O3/88Qc9e/Zkw4YN7Ny5k08++YRdu3bRqFEjdu7cCUC/fv149dVXAXjw\nwQeZPXs2jRs39jnfs88+y4svvsjy5cuZP38+zZs3Z9OmTTz55JNOn6SkJO688042bNjAhx9+yKZN\nm9i5cydTpkyhfPnyxMXFMXToUL+xdu/eneLFizNt2jSWL1/O22+/TXp6Ok899ZQzRoChQ4fSvXt3\nJzW2c+dO/vjjD5o3b8748eNp1aoVHo+1uIExhjZt2vDbb7/RoUMHVq9ezaZNm+jTpw/vvfcef//9\nt88Yjh8/TqNGjViwYAHPPPMM69evZ9euXXz66afs37+fO+64g61bt/qNvW3btrRu3Zq5c+eyaNEi\nHn74YY4cOUKXLl1IT0/36/9P3X///dx9990sWLCAuXPnUrt2bZYvX06NGjWYN28eY8aMYcWKFfTt\n29f5DJOTky/qWklJSTRp0oQ//viDHj16sH79enbs2MEbb7zBhg0baNGihXPul156iVGjRnHPPfew\nZMkS9uzZw4oVK3jooYfYv38/jz32mN/5R48ezZYtW3j55Zd54oknePjhhzMdx8qVK+nYsSNut5ux\nY8eyY8cOtm7dyvDhw4mMjOS9997zuZU3Li6OTp06YYxh5MiR7N69mxUrVtCwYUNGjBhBnz59Lurz\nEPnHsrsCKZlTAlAka0oAXl2UABSRfxMlAEWMeWHgFhNca66h2m/OI7jWXPP8B5uNMRkJwHXr1pmp\nU6cawLz00ks+5xgyZIgBzLJly8y0adP8EoD/+9//DGCee+45v+uPHDnSAKZr165O23fffWcA06dP\nH5++3gRg//79fdoTEhJMaGioCQ0NddKJP/zwg5PsOtOMGTMMYO69NyOV5E0AxsTEmJSUFJ/+3jSb\nN8GWlJRkoqOjTXBwsFm/fr1P39TUVFO3bl0DmPHjxxtjjImLizOAadKkiV960vvZnP7/T/369TOA\nefLJJ/3G/u233xrAPPTQQ06bNwH4wAMP+PT1eDxOAvL0cV6qBGCLFi183s9vv/3mJLZOT+QZY0yD\nBg2cJOnFGDRokJOaO1Pnzp0NYMaNG2eSk5NNVFSUyZcvn0lK8k2zpqenmyJFihjA2edNAALm999/\n9+mfWQLw6aefNoD55ptv/Mbx2muvGcAMGjTIaatdu7YB/FKYR48eNVFRUSYyMtKkpKScMwH4UM83\nncfNoZibQzGmf4gx/UPMnrcwe97C7H3fehwdnMt6fGo9jnwWbo58Fm4SPg4yCR8HGfNTxuOrlpiv\nWmLKla1uypWtbjzGGJ9vaHqq9TjDxp2HzMadh8ztLbs7j6KhmKKhmFJYj+sK3WCuK3SD2bov3mzd\nF59xsH0Rj0k1HpNqjPOwtLirhfNo166dadeund/1PR5PpklkOX+aA1BERERERLLFwoULCQ4O9pkP\nTi6vdI9hyLf7SEkL82lPSTN88sMe+j11o0/7HXfcQd68eRk7dix9+/Z15tD7/vvvKVu2LNWrVycu\nLs7vOuPHjwegR48efvvuu+8+HnvsMSZNmsSnn356XuPu0KGDz+vIyEhKly7NmjVrOH78OJGRkbRr\n1474+PhMFxTJlSsXACdOnPDb17JlS7/55KpUqQJYc+UBzJ07l/j4eFq3bu03N1xgYCDPPPMMCxcu\nZOLEibRq1YqJEycC0LVrV595B8H6TM5MgY0bNw6Axx9/3G98bdu25ZFHHmHixIkYY3zOd++99/r0\ndblcVK5cmb/++ouEhAS/c/1Tbdq08bm+d+66ChUq+M2D6J0bLzEx8aKu9fPP1mIVmX0m77zzDi+/\n/DKlS5cmODiYQ4cOcfjwYcLCfL/XycnJ5M6dmz179nDy5Emf/ddddx233HLLOccxcOBAXnnlFaKj\no33ajTF+36uDBw+yePFiypYtS8OGDX36586dm7lz55I/f379nSfZQt86ERERERHJFnfffTeFChXK\ndDJ/uTxSUj20rlGVb9b+n9++PFFBbNl10qctKCiI1q1bM2zYMFasWEGNGjXYtWsX8+bNo0+fPn7F\nLa8NG6zVSNu3b5/pLcIej4e9e/eSlJREeHi43/4zFS5c2K/Nu/DE6be6RkVFsW7dOkaPHs3ff//N\n5s2bWbt2rbPISGbFwczOHRIS4nPujRs3AlC1atVMx+ctGHr7ed9/ZouD5M2b1++a69evB+CBBx4g\nICDA75j09HSOHDnCkSNHfFZMPZ+xX0pnLhjiHWuePHn8+v7TItemTZsA/BZKAShatKizQAlY39PQ\n0FDGjBnDmjVr2Lp1K+vXr2fNmjWkpqYC/j/7kiVLZvn9PZ3L5aJAgQLMnz+fRYsWsWnTJjZt2sSq\nVas4dOiQz7k3b94M4LPYx+my+v6cbsdBq2C6YPyXTtvw+6xtSpB1y3NgLuuzDbMLkKEh1qIvnlDr\n71K3XepxJ6cBkBx/1DlXl/bWduTLKwD4+sdZADzYthEAaa4UAALs9+RyWecsXcz63s2yVxYGWL3x\nvwBMmbUAgPbNbwbghkJRdg/7O+iyvieuLEpQ6WkZ39VTp05l2ud8flZydioAioiIiIhItggNDSUu\nLo5ixYpl91CuKTFtlwL+SbjoCDdlS4T5td97770MGzaMsWPHUqNGDcaMGQP4p/JOd+rUKQICAvwS\nWV7e5FVaWtp5jTmzIuKZUlNT+b//+z9GjhwJWAWoMmXKcMstt9ClSxdef/318z73mcUG71xz3sTX\nmbzt3vfj7Z9ZMQ/wK3qfPHkSt9udZTG0bt26gH8R63zGfqEyK5J6ZfV+LkdxxlsIymyl5zONHTuW\nRx991Ek9Fi5cmMqVK9OnTx9GjBjhFBNPd77/8LBv3z5atWrlzPMXFhZGhQoVaNu2LcnJyXz11VcX\nNWaRK00FQBERERERkWvI9+9U5LZHVnE0IdVpyxsVxJh3K2Xav2HDhhQoUIAffviBvn378t1331G9\nenW/W2FPlydPHhISEoiLi3MSaZfbBx98wMiRI6lZsyaDBg2iVq1aTiFm6dKlWRYAz4c3dbd///5M\n9+/bt8+nnzcpt2vXLr/PKS0tjf3793Pdddc5bXnz5uXQoUNMmzaN0NDQix7nhcqs2JeUlHTFrn82\nefPmZffu3Rw6dMgveZiQkMC2bdu48cYbOXr0KJ07d8btdvPll1/yn//8h7x58zp9v/322380jm7d\nurFo0SI6duzIq6++StmyZZ3C64cffug3ZsBJBp5p8+bNuFwurr/++iyv9/24aQBcdyJj0Zd6Mdaf\noYPGKixHRlqJv+CwQgC4Q63CrDvQ+92xC7Kh1qI0IadOKyznOQhAydzWGOfNWwpkJABdxjqHx2UV\nszMv+VqqlClsb9tk0eNsR2cYNWqU89y7kI5celoFWERERERE5BoSUzqMuV9W4ZYqUZQsnot6VaOZ\n+2VVYkpnntYLDAykTZs2bNmyhQkTJrBs2bKzpv8AateuTXp6OjNmzPDbd/ToUZo1a8aTTz7pV4A6\nW/rsXKZOnQpA//79ueWWW3xSWKtWrQIuvrhw883WrY3Tp0/PdIze91m9enUAGjWyiimTJ0/OtO+Z\nK+PWrl0bYwzTp0/365+QkECzZs14/PHH/9Hnczpv+i0+Pt5vn/ezym41a9YErPkXzzRhwgSqVq1K\nv379mDVrFikpKXTo0IGHHnrIp/iXmJjo3JZ7MT97j8fDzz//jNvtZvjw4ZQvX94ndXnm96pcuXKE\nh4ezdOnSTOeb7Nq1K6VKlWLLli0XPBaRf0oFQBERERERkWtMTKlw5o+sxuZJtfl9RFUqlcq8+OfV\nvr01cVj37t19Xmela9euADz77LPs2rXLafd4PDz33HPExcVx6tQp59ZRb7Euq4Td+fDebnxmcWXb\ntm1O+u/kyZNnHnZeKlSoQGxsLH/99Rd9+/b1KcStWLGCAQMGEBQURJcuXQDo1KkTRYsWZciQIXz/\n/fdO/1WrVtGtWze/83s/r549e7Jz506n3ePx0LNnT+Li4khKSrpkt9qWLl0agClTpnDkyBGnfeXK\nlXzxxReX5Br/1COPPAJAnz59fBJ18fHxvPfee7hcLjp27Oj83Ldu3erzc0lLS+Opp55yiq0pKSkX\nPAaXy0VoaCgej8eZR9Jr5syZfPPNN0DG9yokJITOnTuTmJjIK6+84jOeWbNmMWvWLGrWrEmZMmUu\neCwi/5RuARYREREREZGzuvXWW7nuuuvYu3cv9evXP+stjGCtrPv4448zdOhQKlWqRMuWLcmTJw+z\nZ89m9erVlC1bln79+jn9y5YtC8Bnn31GXFwcvXv3dgpA56tr165Mnz6d7t27s3TpUkqUKMHGjRv5\n4YcfqF69Onv37mX37t0X/uZtX375Jbfddhu9e/dmypQp1K1bl927dzNhwgTS0tL44osvnMJOeHg4\nY8aMoXnz5nTo0IEXXniBiIgI1q9fT7169di5c6dPMe+uu+7iySefZPDgwc7nlS9fPmbPns2qVaso\nVaoUAwYMuOixn6lixYo0bNiQ2bNnU6FCBe644w6OHDnCL7/8QvPmzZkyZcolu9bFql+/Pr169eK9\n996jYsWKtGrVisDAQCZOnMju3bvp06cPMTExXH/99RQtWpQ5c+Zwxx13cPvtt5OYmMiECRPYv38/\nVatWZdWqVezZs+eC5xt1uVx07dqVAQMG0LBhQx544AGioqJYsmQJkydPJjY2ltmzZ/t8r/r168e8\nefP46KOPmD9/Prfeeiu7d+9m/PjxRERE8Pnnn5+1kDt33hwAahY4rTHMKmIGu6xbeYPsRT/cEfac\nlCH2IiyBEfbA7fkN0+wUYkDGIiAEWbf23lTKKqpO3b7e5/oBbmtsHmOXi+wapnF5n2QUNb1Pz5yL\ncvj31sIio7625kcMPLkDgKgoa/wHj1nFWFeu/AC06/yQc+wT9zfzORfmjCdaDOSiKQEoIiIiIiIi\njurVqxMbG+uzgEdAQADPPvsssbGxTgrQK2/evMTGxvqsfOpyuRgyZAjfffcd1apVY8KECXz66aec\nOHGCF154gUWLFpE/f36nf0xMDIMHDyYmJgbAWcyhdu3axMbGZjrOmjVrEhsb66w227JlS8aMGUNM\nTAwjR47k7bffZt26dQwcOJDZs2fzyCOPUKRIESdlWLx4cWJjY/3mlwNrldnY2FifglHJkiVZvnw5\nTz/9NPv37+fjjz/m119/5a677mL+/Pk8/PDDPueoV68ea9asoVevXlSsWJFSpUoxePBg51bl0z9f\nl8vFRx99xA8//EDNmjWZOHEin3zyCcePH+f5559n8eLFFCxY0OlfsWJFYmNjiYiI8Bt7+fLliY2N\nJSoqymm79dZbnYVXvNf76aefeOaZZwgODubHH39k27ZtfPDBB3z22WfExsZSqlQpp3/ZsmWJjY31\nW+03ODiY2NhY59bn05UrV47Y2Fiio6P99p2vd955hzFjxlCuXDlGjx7NV199RbFixfjuu++cVGdU\nVBRz586lTZs2rFq1ijfeeIOxY8fSrFkz/vrrL1599VViY2P5+++/ASulFxsbS7Vq1fyuFxAQQGxs\nrHP7MVgFvbfeeouIiAg+/PBDPvjgA1JTU4mLi2PKlCk0atSIpKQkJ+2XJ08eFi5cyMsvv0x8fDxD\nhgzh119/pU2bNixdupQaNWoA1sIxsbGxzgrSIpeby1yqSQTkkoqLi2PgwIGZzgEhcq37888/ad++\nPWvXrs3uoQiwfft2YmNj/W6LEBG5GkVGRrJ3795Mf2mWK6948eIsXLhQqwBLjrNt2zb2799PpUqV\n/P6+8S5e0bhx40znSJRrlwHuvL0xAF2iZzrtre6w94fkBiA4vz3PYbgdEwwtCYArxH7ttue/TLVv\nnT6xI+MiwdaCNb9PslZG/t/8OgBMnW/NtehdG9njRP/SAUi382MuT0YCLzDAeh5vr35cu+7dACSs\ntMbe/Xar3y3lfU7FEau+z2p7ceZpp/1atz3QKozf9/w7AAx+7Unk0lACUEREREREROQSWrp0KTff\nfDO9evXy2zd06FAAbrvttis9LBG5hmkOQBEREREREZFLqGnTphQuXJihQ4dy/Phxbr31VtLT0/n1\n118ZO3YsN9xwg9+t1DnZ5MmTL2j+xapVq1K3bt3LOKKrz4GEZJJTPRzeswGA8uVO25kWAIAJt7dB\nVpbL7bbScibAvt3bTgjism8v96Ra+wNDnFO5UqwyUPGC1srFxmOlBI8lWfsLhNv97P4ee869AHsR\nZXdARgLwRIoV6SteugEAd7j/AGD8L/msDnns29YT7DShxx6HOQ5Au+Q9ALx5NGOBlkXTrHkL2/R5\nCoCZk8YDsGz+rwCEhWgOwIulAqCIiIiIiIjIJRQZGclvv/3G008/zejRoxk1ahRgzZnXoUMH3n//\nfb/59HKyYcOG8dtvv513/x49elxzBUCRy00FQBEREREREZFLrEyZMkydOpXExER27NhBQEAAN9xw\nA7ly5cruoV1xEydOzO4hXPXyRYVggLDcJQDYenCns69idXvyvHQrhudK887UZyfnPPYqv6n2d8uV\nave30nQuT3LGhexdecOtFGHayYMA7N53BIACpez5BbGu6cZKHbrc/sm7are0BqABdvJvnDV2ku0E\n4GHrXJ5Aa05CE5gIQEC6nVj0WPuT0zNWIq5W76Q1nnJWarBGnzkANGpnrQq+cNKXfuOQ86MCoIiI\niIiIiMhlEhkZSaVKlbJ7GCJyjVMBUEREREREREQkGwXY23zlbgZg3ILfnX0tW1hpvZMnrfieOzUe\ngOCT9lx/biu9hyfNPsLqb9Ks1XldKcczLnTSeh6Z204LJlhzAG7eshmAanYC0NizALrs6fu8kwK+\n/NZw51SpayYBMOmnIva57eRfWiFrGxZtjcYdar023nShvQxwpPU+QijqnPPEye0A7AuwkoBTnrba\na370FQAffnknAM883Ba5MFoFWEREREREREREJAdTAlBERERERERE5CrQ/YkuANw1eoDT9sY6a+6/\nG8tZ6b3E41ZeMNhjvXZ5J/YLOmYfYZV6XN5EYHKSc670E/Y8fMnWsVF29PDokaO+AzH23H928m/n\nTisp+OVHLzldxtjpPEKthJ8n1U78BUda7SF24i/Qasdjz1mYbM0JSKr12uTyJgMhNNS6zsFUKwGY\nJ9J6L6/Vtd7L118OBZQAvBhKAIqIiIiIiIiIiORgSgCKiIiIiIiIiFwFbq9jLRjT8em3nLaa/XsD\nsG+QFceLzG2l+BLirQn6wtLyAOAKsva7XfYcgOlWai7t1CnnXCdPWfPuRdvVoFz2AsM7tm3xHcgZ\ni/4++9YHANQJPOS0NahrJ//irUSf2xsndNsJv4BwaxvkXfXXSvV5Vyc29mrGxu2daBCSg6y2AtZb\nIuyU9R7225c9FZWKXBwlAEVERERERERERHIwJQBFRERERERERK4iw97/r/N8x7adAIQ99RkA21+0\n2otWtebxO3jUStTlCgyxdtiJOo+dAExP8a4ODKdOWPMJRgcH2H3sQ1y++TDvqwNJVoftv40H4N0G\np3WKt9J4rtz29dxWXxf21jvnX5o3gWhvTbL92l5pOCUjbhiaz0oJ2osS0+1NazvHY61aPOmX/yEX\nRwlAERERERERERGRHEwJQBERERERERGRq4AxdnrOFeC0zRj3KQCP/7ckAMX6WhHAqZ2s5F3zJlaC\n7vgBa7Xfk/aUekH28aEZU+wR7X1+0rrOTnvh4Fp582c6nt37jwAQfOIgAIUiM/YdOW4lC6NyWYm+\nwFQ74RdgzVFIil1ySrMTf8ZOBKYnWO8xxZ4TMG/GHIV/zbaOrfKa9frOLq9b4xhsJSILRFjn9FhB\nRtyKtZ03fVQiIiIiIiIiIiI5mAqAIiIiIiIiIiIiOZhuARYRERERERERuQoYezGONPtWYIAg+3bg\noW/3AuCmWjUBuLN1YwAen2f1faKF1T9PmLVdt8fabtyfcf6/d1jbXzZZ2/2FrwPggdaNMh1PTMkC\nALiuqwjA4h2/O/va3Ghtk4P2ARAYZt90HGDfvpzmfQ/2LcEuezESY7+Osm5ZPvTXRueclV+2jnmx\n30gA+r70gM94PPYtzC5S7ZYg5PwoASgiIiIiIiIiIpKDKQEoIiIiIiIiInJVsBb0cLtOz2vZyTms\nZN3Dray0XoXlfwHw1FPPAdD2pwUARLqOAxCWvwQAyZFFnTNFVS0HwC33VwXguYdbAVAkbzQA6cZj\nX9+K2gXZ1yxU6RYA5vySkQB8KDYYgH1J1mIeaYeteGF0ir3YR1iUtXXnso+wE4EeOwHoOQrA3b0S\nnXO2f9xa8MSb/POuWeJJX2idign2OX+z9yxCzo8SgCIiIiIiIiIiIjmYEoAiIiIiIiIiIlcBt5N5\nM06bx1u68abz7G3d6uUBWDJvKgCb91qJuh37EgCoVrYwAHnCg895XWOs67ns1y7v5e2GF3t2AaDO\niPedYwp+biX9ej9opQSjg63XJ05aSUBXYLg13lBr/Okea39YISvR+PqryQBsj/iPc86Fn3Sxn1lJ\nQNIHARDgWgeAx97rdg0553sSX0oAioiIiIiIiIiI5GBKAIqIiIiIiIiIXBVcWbd45wX07wJAqcJ5\nfLYXdFWXyz6178k99mrEtWMqADB59kJnX4fOnQD4/H/WKr49rC70uMsaZ+GC1iq/aclWbi8kzGof\nbocI/7fQSg4u37DztCsWsy98yNraCwpj3PY4vcm/bhfy9gQlAEVERERERERERHI0JQBFRERERERE\nRK4qrkyeXXnGzo15PNa8fXc1uMnZl7jrbwCGfDsfgM8/+h6A0YPHA1A51x4A6l8fCsDGXVacb/gR\nK1U44VfrdfWyq5xzetKtfW5v2NF4330f67WSfxdNBUAREREREbki5iw9xpZdyZS7IZR61aKyezgi\nIiLXDBUARURERETksmv57J/8viKBE8npRIUH0rFZgewekojItcte9TdjuV8rcmdOW33YarVee+wg\nXronY1+AndLr3rGevc0LwOK1swAYOdpKAMb9ZZ0j/YZUAH7tZR3YsF6yPZR055wuJ+5Y3B7Pi3Z7\n9wt6e+JPBUAREREREbmsmvdYw4wFx/DYv3CePJXCxz/sJSQxLZtHJiIicm1QAVBERERErhkej4eZ\nM2cSGhqa3UO5ZiQmpfPrQoPHRPq0p6Z6SD2ZnsVRIiJyOXgTfsZlRfncTuAv2d4G+vQDq5+LYOul\na0vGudKHWU0ua+4/3IcBqB1jxfhq98tn90y1t96/83PZJ7DnE3TVdM7pcrWyn1X2va78YyoAioiI\niMg1o3LlynzyySe4vbOLy2WXeCKdLrVK8vniTn773C4XRxPTKJYN4xIREbmWqAAoIiIiIteMRYsW\nZfcQrkkVWi0FTvi1Bwa6yBOpX0lE5N/p1Ek7HWf/m1JIyNX/j0sue01hFwHeBluAz8usVx4umfE0\noK/9pG+mPc9jMOe4llxKV/+3U0RERERE/tUmfVSJvFG+hb7r8geTP1rFPxH5FzD24wzp6Yb0dIPH\nAx6P/36Rq4n+iysiIiIiIpdVmetDWTK6Bk++u4m9h1IoXTyUL14rQ0wF5T5E5F/A/qvq7w3WHHcj\nv+kPgDtwCQAmxVrVvEiRNs4hT3RvdwUHKHJuKgCKiIiIiMhlV7JYLn4eHJPdwxAREbkm6RZgERER\nERERERGRHEwJQBERERERERGRLCTEW9uX/tsUgA0blwGQJ6I8ANVv2gDAtkVjnGM2bukDwMD3X79C\noxQ5OyUARUREREREREREcjAlAEVEREREREREsjB+/DgAXNFW8i+2ppUELBQyGoBNO38CoPl9vZ1j\n5i/4HwDfjb4dgA6dbrsygxXJghKAIiIiIiIiIiIiOZgSgCIiIiIiIiIiWYjMbQBIPmE3BFkrmjdo\nkg+AlgUfBeDdT35zjsl3wzcA7Ds0z25RAlCylxKAIiIiIiIiIiIiOZgSgCIiIiIiIiIiWSiUtwYA\n+aKDANi+dyIA82Y/B0D3Z4sAUDD3f5xj/tpkJQBrVDlwxcYpcjZKAIqIiIiIiIiIiORgSgCKiIiI\niIiIiGShfmxJAH76+QEAPCHDAYib1w2ApusnAVDmhtLOMb+utraugFxXapgiZ6UEoIiIiIiIiIiI\nSA6mBKCIiIiIiIiIyDncXr8XAJ+NshKA9z03GYBhY/sDULViK6dvwkFrGxl+4xUcoUjWlAAUERER\nERERERHJwZQAFBERERERERHJxG6uKwAAIABJREFUkgeAFveUBeDPP78HYN2yDgDUbDwUgOkjM+b7\nu65QGQDW//3nFRulyNkoASgiIiIiIiIiIpKDKQEoIiIiIiIiIpIVY29d1pNeL7cH4M3/JQIwfYq1\nGnDu65Y6h6QcqQzAhg3LAUhMsFKEkVHKYUn20DdPREREREREREQkB1MCUEREREREREQkK67Ms1Mv\nvfIoAB9+tAaAv1Zsd/alnUoHIP7wSgC2bN0JQNWqJS7bMEXORglAERERERERERGRHEwJQBERERER\nERGRCxQUZG3r1KkJwJaNy5x9qanlADh6MACA/fvX23uUAJTsoQSgiIiIiIiIiIhIDqYCoIiIiIiI\niIiISA6mW4BFRERERERERC5S/nwFADhx4oDTFmhqA+DxRAGQnBp/5QcmchoVAEVERERERMQxfPhw\n1q1bl+m+qKgoypQpQ5MmTciXL98VHtmFGTlyJGvWrKFnz54ULlwYgN69e+N2u3njjTcu+rwnT54k\nNDTUef3222+TmJjIO++884/HfLWaOHEi8+bN4+GHH6ZixYrZPZyz2r59O4MHD6ZGjRp07Ngxu4cj\nctVQAVBEREREREQcP/30Ez///PNZ+4SGhjJ48GAeeeSRKzSqCzd58mTGjRtHly5dnALgxx9/TGBg\n4EUVAA8cOMDzzz9PlSpVeP755532L774gn379uXoAuDs2bP56KOPaNCgwVVfANy7dy/vv/8+nTp1\numIFwJCQMADy5ot22k4ctorE+3alAhDgCrgiYxHJigqAIiIiIiIi4uedd96hXr16zmtjDAkJCUya\nNInPP/+c//u//6Ny5crUrl07G0d5YR566CHc7oubCn/SpEmMGjWK/v37+7R36tSJ+Hjd3nm1KFiw\nIF27dv1XfS9FrgQVAEVERERERMRPpUqVqF+/vl97ixYt8Hg8DBs2jKFDh/6rCi0DBw685Od8++23\nL/k55eKVLFmSTz/99IpeMyUtBYCChTMSgMf22beJe4zd4rqiYxI5kwqAIiIiIiIickFatWrFsGHD\nWLt2LQBjx44lKSmJdu3aER4e7tf/xx9/5MSJE3Tu3JktW7bw+++/07hxYzZs2MB3331HsWLFePTR\nRylatCgAR48eZcyYMaxYsYK0tDTKlStH+/btKVGihN+5jTHMnj2byZMnEx8fT5UqVXj44YczHfe3\n336Ly+WiQ4cOPu1JSUmMHTuWP/74g+TkZMqUKUPHjh2d602fPp358+cDsGTJEkaMGEGDBg244YYb\n+PHHHzl58iT3338/APv27WP69OmUK1eOunXr+lxn//79TJs2jTJlyjjpyuXLl7N69Wpat27N/7N3\n39FVVHsbx78nPaEkEFrovRelI4RiQu9IFWk2FOVe4BUFaV5BRUUBkSJFOoRelV6UIlKlF4P03pJQ\nQuq8f8w5A4ckFOnh+ayVOzkze/bscxJ1Zd9n79+ZM2eYNGkSp0+fJlu2bLz55pvkzJmT2NhYQkJC\nWLduHS4uLlSrVo2mTZv+6zSjw+nTp5k7dy779u3jxo0b+Pn5UaFCBRo3boyHh0ei92zfvp2pU6dy\n5coVChYsSOvWra2fG5hLyMPDw2nUqBF+fn4J7l+4cCGXL1+mdevWuLu7ExUVxbx589iwYQPXrl0j\nU6ZMBAcH8+qrr2KzOU+ahYaGMnPmTEJDQ/Hw8KBw4cI0bdqUzJkzW20uXLjAL7/8Qu7cualcufJD\nfT4iyYohz6SlS5caNWvWfNrDEHkm7dmzxyhSpMjTHobYHT161MiRI8fTHoaIiDyHsmbNapw4ceJp\nD+OFNXvFBWPgz8eN2SsuOJ2vW7euARiLFi1K+t7Zsw3AqFSpkmEYhtGuXTsDMCZPnpyg7ZEjRwzA\nCAoKMgzDMMaPH28ARo8ePQwXFxcDMABj0qRJhmEYxpIlS4w0adIYgOHj42OkTp3aAAwPDw9jxIgR\nTn3HxsYabdq0sfpIly6dARi5cuUyypUrZwDG7t27rfa+vr6Gv7+/Ux9//vmnkTlzZut5jj68vLyM\nuXPnGoZhGFWqVLGe4fiaNWuWYRiGkSNHDsPT09Pqb82aNQZgdOzYMcFnsW7dOgMw3nrrLetcr169\nDMD44osvDHd3d6dnpE6d2ti2bZtRtWpVAzBsNpt1rVOnTkn+fO7HTz/9ZHh4eFjPSZs2rdV3iRIl\njIiICKvtf//7XwMwGjVqZNhsNsPHx8fpZ7Rw4UKr7QcffGAAxsiRIxM88/z584abm5tRrlw5wzAM\n4+LFi0axYsWsfgICAqzfiTp16hjR0dHWvRMnTjTc3NwMwMiQIYPh5+dn/ZwWLFhgtfvjjz8MwGjd\nuvVDfT4P4u/QFcbfoSuMN98saH01rtPNaFynmxFUPZcRVD2XsXDBHGPhgjlPbEwid3q4/7tARERE\nREREnjs13tvFW58foscPR3jr80PUeG/3fd8bFxfH6NGjAawUW4cOHQCYMmVKgvaOc+3bt3c6P2jQ\nIJo2bcqCBQvo378/TZo0Yf/+/TRq1IjIyEimTJlCREQEYWFhrFy5kjRp0tCpUyenAiXff/89kydP\npnz58hw9epQLFy7wzz//kCFDBv788897vpewsDDq16/PmTNn+OGHHwgLC+P8+fOsWLECV1dX2rRp\nw7lz51i8eDFDhw4F4PPPP+fKlSs0aNDgvj+z+9G7d2/69OlDREQE169f5+233yYiIoLAwECuXr3K\nrl27iIuL47fffiNVqlSMGDGCU6dO/atnHTx4kPfffx9/f3+2bt1KWFgYly5dIjQ0lNKlS7Nz504m\nTpyY4L758+fTr18/Ll++zKVLl5g5cyZxcXG8/vrr1lju9rsQEhJCbGys9bvw1VdfsXv3br799lsi\nIiI4ffo0p0+fplKlSvz666/MmDEDgIiICDp16kSWLFkIDQ3l3LlzXL58mblz5xITE8P7779PXFzc\nv/osRF4UmgAUERERERF5gTTqupeVW8IIvxoLQPjVWFZuvkKDLnud2q1Zs4YpU6ZYXxMmTOCLL76g\ndOnSLF++nDRp0vDf//4XgMDAQHLlysWKFSs4d+6c1YdhGEyaNIlUqVLRuHFjp/5z5crFtGnTaNCg\nAb179yZFihR8/fXXREVFWVVcXV1dsdlsBAUFMX36dAD69OkDQHx8PIMHD8bDw4M5c+ZYy3Vz5crF\nvHnz8PLyuudnMXHiRM6fP8+HH35I586dcXd3x2azERwcTPfu3YmJiWHFihWkTJkSHx+z0qu3tzd+\nfn5JLpH9t+rXr0+fPn1IlSoVPj4+9O7dG4AbN24QEhJCsWLFsNlsVK5cmSZNmgCwe/f9T9ze7s8/\n/yRr1qz069ePUqVKWUtt8+TJQ/fu3QHYv39/gvuaNm1Kv3798PT0xGaz0axZM/r06cO1a9cYMWIE\nACVLlqRYsWJs2LCBI0eOON0/adIkPD09adGiBWAuJwZo2bIlrq5mldyMGTMydOhQOnbsSLp06QBz\n6e/169epUKECefLkAcBms9G4cWP+97//0bZtW27cuPGvPotHwcXVhourjes3Iq2vqJvXiLp5DW8f\nL7x9vHB188TVzfOpjVFEewCKiIiIiMhTERsby6xZs0ibNu3THsoLIzbWYPGqFBiuGZ3OGwYs2XCZ\n65G3UlTff/99kv0UKVKE8ePHExAQAICLiwvt27enX79+hISEWBODmzdv5u+//+att95KsDdgcHCw\nNenjsGLFClxcXKz99G5XtWpVcuXKxY4dOzh//jznz5/nzJkzVKtWzWkPOICAgACCgoKc0oKJWb16\nNWBOQN2pR48e9OrVCze3J/Nnc3BwsNNrx2ebNWtW8ubN63QtQ4YMANy8efNfPatt27a0bds2wfkL\nFy4QGhoKQFRUVKL33alVq1b07t2blStX8sUXX2Cz2ejQoQPdunVj2rRp9OrVC4B9+/axdetWWrRo\nQZo0aQAoVqwYa9asoW7dunzwwQfUqlWL7NmzU7JkSadCHnny5MHb25sZM2bg5+dHkyZNCAwMxMvL\ny+pfRO5OE4AiIiIiIvJUVK5cmS1btjzyJJUkLTIqng7lPBm7NeEEW6oUroRFxFqvO3bsSNGiRa3X\nLi4upE2blqJFi1KkSJEEBRratWvHZ599xtSpU60JwEmTJlnX7pQ1a1an1zExMZw+fZrMmTOTKlWq\nBO1tNhv58+fnyJEjHD9+nLNnzwJm4i8x+fPnv+cE4LFjx5Lsw9Pzyaa1/P39nV47CnwkVlTlYYt/\nAERGRjJjxgx+//13Dh06xOHDh63PNCl3TkQC5MyZE5vNxvHjx61zb7zxBh9//DFTpkzh008/xWaz\nMXnyZMD5d6FPnz6sX7+e7du307FjRwAKFixIgwYN6NChAwULFgTA19eXn376iXfeeYdRo0YxatQo\nvLy8CAoK4rXXXqNVq1b3lfh8XGKirwGQ0ufWhGyYYU6me7iZ/5xcjbj85AcmchtNAIqIiIiIyFPh\n2N9LnqwKbf8CIhKcz5/NmywZb0161atXj3r16t13vzly5ODVV19l1apVHDx4kFy5chESEkLu3Lmp\nVKlSgvZ3TmLFx8cnej6xe2w22z3b38/EsmPfuEcxoXY/HGNOzJMaA8DJkyepVq0aoaGheHp6UqxY\nMapXr06pUqXw9PTk/fffT/S+OxObYP4sHF8O6dOnp379+sybN4/t27fz0ksvMWXKFAICAqhevbrV\nLl26dGzevJnly5czb948VqxYwYEDBzhw4ACDBg1i4sSJvPHGGwC0adOG6tWrExISwq+//sr69ev5\n5Zdf+OWXX/j+++9Zv349vr6+j/iTEkk+tAegiIiIiIjIC2TpiGJkTOuOY77GZoOM/h4sG1n8oft2\nFHeYNm0aS5Ys4fLly7Rv3z5BWjAxnp6epEmThnPnziW6/BTg6NGjgLk81pEgPHHiRKJtz5w5c89n\nZsqUCSDRYhoXL15kwoQJ7Nq16579JCaxohTh4eH/qq9H7ZNPPiE0NJSOHTty+fJltmzZwqRJk/jv\nf/9LxowZk7wvsYTgqVOniI+PJ1u2bE7nHcVApk2bxtq1azl58iRt2rRJsKTa1dWV2rVrM3r0aI4c\nOcLff/9Nt27diI+Pp3v37hiGYbXNlCkTXbp0Yfny5Vy+fJlffvmFwoULs2fPHsaOHfswH8lD2btv\nB3v37SDO4NZXdDriotORP583+fN5c+TYLo4cS/i7ZBCPQdITwyKPiiYARUREREREXiC+KV05saw8\n774WwKtlfHn3tQBOLC2Hb8qE6a4H1aRJE1KnTs2cOXOYN28ekPi+cUmpUqUKMTExLFq0KMG1PXv2\nsH//fnLmzElAQADFixfH39+f33//nYsXLzq1jYqKYuXKlfd8nqOK8dKlSxNcW7hwIR06dCAkJMTp\n/O0TUolxLB1ObAJyw4YN9xzTk/DHH38A0LNnT6u4icO6deuAxNOKy5cvT3Buzpw5AFSrVs3pfO3a\ntcmYMaPT78Lty3/j4+OpWLEiBQoUcHpW3rx5GTRoEOnTp+fs2bPExcUxa9YscuXKxZAhQ6x2Xl5e\n1KlTh08++QQwU40ikjRNAIqIiIiIiLxg3N1sjOqVj1WjSzCqVz7c3e6d0LsfPj4+tGjRgr179zJv\n3jyqVatmVee9H926dQOgc+fO7Nixwzp//PhxWrduDcBHH32EzWbDzc2NLl26EBkZyRtvvMHVq1cB\niI6O5sMPP+T06dP3fN5bb72Ft7c3AwcOZOPGjdb5f/75h88++ww3Nzcryebt7Q3Ajh07iIiISDKl\nWKhQIdzc3FixYoXVp2EYLFq0iB9++OG+P4vHyVFgZMWKFdY5wzCYNWsWw4YNAxIvMPLdd99ZhVMA\n1q9fT58+ffDx8aFTp05Obd3c3GjTpg3Hjh1j8uTJlClThsKFC1vXXVxcSJ8+PYcOHWLAgAFOk4CL\nFy/mwoULlC9fHjc3N4oXL86xY8f45ptvOHTokNUuMjKSadOmASS6zPzRMe74Mm3bGsa2rWFMnTGC\nqTNGkCJlLusrW0ANsgXUIJ1/ZtL5Z8bDczkensvp0WMwPXoMtvqw2b9EHjdNAIqIiIiIiMgj45gw\ni4iIsJYE36/AwECGDRvG+fPnKVWqFGXKlKFSpUrky5ePXbt20alTJ6f96T755BMaNGjAsmXLrD0I\nc+bMyeTJk+9rQihbtmxMmTKF6OhoKlasSKlSpQgMDKRQoUKcOnWKUaNGkS9fPgBKlSqFi4sL06dP\nx9fXlzFjxiTap5+fH926dbP6LFSoENmzZ6dBgwZ8+OGHD/R5PC69evXCxcWFd955h6pVq9KiRQuK\nFi1Ky5Yt6dy5M2BOgt6pYsWKBAUFUaZMGcqWLUtgYCDR0dFMmzaN7NmzJ2h/r9+F7777jowZM9Kv\nXz9y5sxJcHAwJUqUoEGDBvj5+TF8+HAAChQowGeffcaZM2coXLgw5cqVo1q1amTLlo1ly5bRtGlT\nGjdu/Ag/IZHkx/Wzzz777GkPQhI6fPgwmzZtsjY8FZFbLly4wOzZsxP8v4zydISHhzNhwgS6dOny\ntIciIiIij8C1a9fIkycPQUFBZMiQ4YHvz5o1KyNHjsRmszFu3LgExTiio6NJkSIFVatWJXfu3Anu\nL1u2LI0aNcLV1ZWLFy8SHx9PUFAQgwcPplOnTk77Cbq6utKiRQvy58/P1atXuXLlCmXKlOHnn3+m\nSJEiZMyYkerVq1tVhcPDwylTpgxBQUFWH4UKFaJFixa4ublx8eJFYmNjCQ4OZvTo0dStW9dqly5d\nOsqXL49hGOTNm5dXXnmFwoULExERQYkSJahRo4bVNjg4mEKFChETE0NMTAyFCxdm0KBBvPXWW1y9\nepXKlStbFZYjIyNJnz49r776qpXMAzORFx4eziuvvEJgYKDTZxQZGUmGDBkICgq66559ScmXLx81\natQgOjqa8+fPExkZSaVKlRgzZgxt2rTB1dWVdOnSUaVKFdzd3YmMjCRTpkx8//33FChQgH/++YeY\nmBjq1avHhAkTkpxsTZ8+PVOnTuXatWtMmDDBSlE6pE2blrZt25IyZUqioqIICwvD39+f1q1bM2HC\nBPLnz2+1rVKlCq+88gouLi6EhYURHR1NqVKl6NevH3379rWKqMTGmpWsAwMDKVGixAN/NomzOX3t\n3BHJubOxdO5Sk6XLplKu0kEyZLzBlZN1ib2Zidibmfjo/c5ULJeL8eO3ceKwP36Z5xMVc44bEZuI\ni/2NAwfzsenP/ZQvXwRlAOVJsBn32sBAnoply5YxePDgRPeiEHnR7d27lxYtWrBnz56nPRQBjh07\nRpUqVaxNuUVEROTFdvDgQQoWLMjbb7+dZEpOXgwnTpwgR44ctGjRgunTpz/t4TwyO3dEAvDBf8yJ\n5FfrmHsqnt7f0Wrzf2+PAqDngI8AKFHlOwAiLpiVinPkGgdAl/++9gRGLKIlwCIiIiIiIvKIxMXF\n4VhkdvtSXXnxxMfH8/nnn2MYhn4XRJ4BbvduIiIiIiIiIpK0o0ePUqNGDSIiIjh37hyNGzemZMmS\nT3tYL4SxY8eydevW+25foUIFp2q8j9qFCxeoUKECN27c4MyZM1SvXj3BEubnzfGj5nHUT2YRl7MX\n+wMwYKRZfXrJHLOSsnd0c+semz1u9en/DQLg2x+8AMhQ8AsAtv7VDICJE8yK1+3a31puLvI4aAJQ\nREREREREHkrmzJm5fv06YWFhvPbaa4wdO/ZpD+mFcfr0aQ4cOHDf7XPmzPn4BoO5V2JcXByXLl2i\nXr16jB8/3mnfRhF5OjQBKCIiIiIiIg/Fw8ODU6dOPe1hvJD69u1L3759n/YwLDabjSNHjjztYTyU\n+Hjz+NUAcw/LvUe6AxARHQ5AcFXz+sTvMwFw4e9PAejx0atWH+5mKJBrF8xjuRL/A+DwifIAZMjQ\nE4CfJ9cD4O/DXQHo3HkgABkzOBfPEXlY2gNQREREREREREQkGVMCUERERERERETEbvhIM4V34IKZ\n0vNIYZ4v4fcmAMt/LgrAy0WrAvCf3i8DkCXPrT6GDd0IQOi5/wOgx+cZAPBZVB2ADb+Z+wg2qXkU\ngB/GmglAd89NAPj5NrT6KlKoDgDBwcUe8p3Ji0wJQBERERERERERkWRMCUAREREREREReeH9+ssh\nAA6fMJN/Lxcxz4/q+RUAvbv1AKDmfw0AjBQ3AUib2Ww37qe/rb7W7XgdgO/Hnwfg9zW+9vMLAUif\nzUwNnjk6GYAPWu4EYF/oGwDsie1h9XXlyiwANm409wsMCuoAQMWKOf71ewXjjtcq1JLcKQEoIiIi\nIiIiIiKSjCkBKCIiIiIiIiIvvH0HlwG3snFblpt773304fsApMhgVjeOcvEDIH2aNAD8tSUWgCW/\nvW311XXASQC+718QgFfKTASgdnUzJbhkZRsArrib+wnGXZwCQCbP3wBIl3qi1VeMMRqAG1e/AGDF\nil8B2P5XVQBs+JsNjdQApEqVyX40x+mb6lZSMF8+8/vsOV3tZ+xpRsM82mxKAiZXSgCKiIiIiIiI\niIgkY0oAioiIiIiIiMgLzyelmfCLO2O+zp6+OQC583ub573MffxS+KYCwC3ebDfvl2kAvNVtr9XX\n5jXZAKgSOBaAd94pZb9iHv3T5QRg/AQzZXgsxtz7L5t/A3MscYOsvq4eCgLAL8tiANw9ZwPw99+D\nzXEZZgIxZSoz43XzqDmw69Hm/SlS3XqPWfdkNZ93pLY5rjfN/Q1LvOSf6GciyYcSgCIiIiIiIiIi\nIsmYEoAiIiIiIiIikqzdzx53Hq7u5tEw26T3zwlAmkweAMSSEoCrEdcBOLLHTAZmzGLu23f4yCWr\nr7Br7QB4553yiT6rQX3zvL/fXwDMnNXR7POcWSU4PGKh1fblXF0B8IkzqxPHX2oLgK/LOgBcvEPN\n98ZpANxdI8wj5jijI24lE/eGmXsQ+qQYA0CP3msAGDbErEKcN69PouOV558SgCIiIiIiIiIiIsmY\nEoAiIiIiIiIikqw5kn+jR5sVdTdv3gxAmzfestrEx2UA4Px5My2YKe8/AGTPUQWALduuAJDeKyMA\no+YvAsAj58/mMfJWeq5F43fvOh5HIrFiYHYAypZfAsD0aeZx2/buVtsdx+x7/V0dCkCNUubz8mQw\nU4bly5jtbsSZx0vmMIkyA4Ac3n/W6uvXVX8CkLf0dwAUL2emCEePHgDAN998eddxy/NLCUARERER\nEREREZFkTAlAEREREREREXkhzJ5tVtB9+eWXAShSNL917cYNM5WXPl0JAI6dmwlA3745AfigXTUA\nvvh6IwBRvp0BCK5h3n9q//+svmrXKWD/zl4q+I781Z17Ebqb2w/Stp1Znbd27VrWtX37NwAwdfb/\nAbD2YHsAamX/GIDOvczKwU2CBgJQIdCs6BvudQ2A0sEZrb7eaNsQgJ4DdgNgZPwDgLRpTyPJmxKA\nIiIiIiIiIiIiyZgmAEVERERERERERJIxLQEWERERERERkReCi4uZg9q5cycAf+3cbl2rXac6AJs2\nm8eyFVYAsHCOWZCjY/dAALIWXwZAny+PAfDz95kB6Pz2fxN5YuJLgO8lfYZbS4SrZKgEQJGiZgGP\nYcN6AnDwoLnkt0TtsQCMnbUVgAO7JgPQpFVRAFL73ur3L3PlL66+ZwDw88kDwKWL/g80Pnn+KAEo\nIiIiIiIiIiKSjCkBKCIiIiIiIiIvBEcCsFOnDwAIDgpK0KZK5bcAGDFyDgDtO54CIHeJbQCkTmu2\n69PF7Kt+tTEAFCnunsgTXR/NwIF09pDe/z77CoCZ018HYPIMswrJG93+AmD9ojoAfNLdLBqSr0BZ\nq499J4YB8MGnBwBYuTw1AB9+0PGRjVOeTUoAioiIiIiIiIiIJGNKAIqIiIiIiIjIC6FgwYIA5M+f\nz37m9lyUuV/fq6+abSJvzARgwayhAOTJewWA/X/nBaDP/5l7A1YKzGK/30jkibZEzv07hr1/m/3Y\nvFUxADIG7ADgq4EVAKjT9igAbs0/AiD6iqfVR60sNwGYNdrso0KlcQC88kr+RzZOeTYpASgiIiIi\nIiIiIpKMKQEoIiIiIiIiIsmaYZiJt++//97ptTPnjFTdeqXtx8n3+ZRHl/ZLvHeb9d3tqlTNBIC/\n3x4ABnzdDoAilcw9DHPnjLXa/vZrBgAqVBwCwCeftHps45VnixKAIiIiIiIiIiIiyZgSgCIiIiIi\nIiLyQrHZHj6td2eK8FH0+TCKvpQCgOlTZgMwZ5a5N+DfOw9bbbp98CoABQvbSxnb9z0kiXShJB9K\nAIqIiIiIiIiIiCRjSgCKiIiIiIjIE5fYHmz3SlA57nEcXVyUaZH78zjSeU878ZcUm6t5bNryZfuZ\nl5Nsq1zYi0M/aRERERERERERkWRMCUARERERERF5YuLi4pxe357icyT7kkpWxcfHO1139OXo41lN\nZImIPG1KAIqIiIiIiIiIiCRjSgCKiIiIiIjIE+NI6SWW1rtXgs+R9Ltz/8B7JQdFRF50SgCKiIiI\niIiIiIgkY0oAioiIiIiIyBOTVIrvdmPGjAGgf//+ALz8slnFdMaMGQB4eXk59eHYG1BERBKnBKCI\niIiIiIiIiEgypglAERF5IOPmnyVP/c3ka7iF9n0PPu3hiIiIiIiIyD1oCbCIiNy3SYvO0XlgKJFR\n5jKbwyciWb85/CmPSkRERJ5niRXumDdvHgAnTpxwOi5evBiApk2bOrV3LCsWEZHEaQJQRETuy1+H\nrtNr+BFr8g/AMODIiZv4hMc+xZGJiIiIiIjI3WgCUESeS+fPn6dChQpPexgvlAtXYriU+ivA0+l8\nPBAdo423RURE5P44Cnc4jrcnAA8dOgTA77//nui9y5YtA24lAB333q2giIiIaAJQRJ5DuXPn5uef\nfyZdunRPeygvlI1/RRB+Zj2fLwxKcC3hwh0RERERERF5VmgCUESeO97e3tSrV+9pD+OFU7485K7n\nB9x0Op/C24WUqfWfExEkPud3AAAgAElEQVQREXkwie3999tvvwFw/fp1ALp37w7A8uXLAZg2bRoA\nAwcOBMDf3z/JvkRE5BbtlCoiIvftn8VlyZ3Fi1Q+rqRO5UbOzF78/FkBvDz0nxMREREREZFnlSIb\nIiLyQA4vLsvv28M5fzmGCiVSE3vjzNMekoiIiDxH7kzrRUdHW98PGzbM6dpHH30EwMWLFwHYuXMn\nABs2bACgQYMGj22cIiLJiSYARUTkgVUu6Wt9f+zYUxyIiIiIiIiI3JMmAEVEREREROSJubP679at\nW61ru3fvBqBixYoAZMiQAYDg4GAAxo8fD8DQoUMBJQBFRO6XNm0SERERERERERFJxpQAFBERERER\nkadm5syZCc7VrVvX6XXJkiWdXq9fvx6AgwcPAlCgQIHHNDoRkeRBCUAREREREREREZFkTAlAERER\nEREReWLurAL8+++/J2jz1VdfAfDDDz8AEB8f73TdUTl4wYIFAHz88cePfJwiIsmJEoAiIiIiIiIi\nIiLJmBKAIiIiIiIi8sQ5kn87duywzvn7+wNQqVIlAC5fvgyAn58fAMeOHQNg165dAKxetQpIPAFo\nxF8FwBZv/7PX1RuAONsNewMv87TNzMWcu3AegN1b9wJQ+dWKVl8enh7mvfbXLo5KxoaZRDRsjmyN\nq/nasNnPO6cdXYxY6/t4+72urj4Jxi4i8qgpASgiIiIiIiIiIpKMKQEoIiIiIiIiT9zKlSsTnGvU\nqBEAY8eOTfSe0NBQAIoWLQrAsuXLAdi7fz8ARQoVstoa8WbCz2ZP5cUTbz+aOT53e2rPkcl74823\nzHEtXgxAsw6trL5+GGTuRZgpbToA4mxmX9GG/U9qw+zL3R6xcbsj+Wex3foTPD7eHJfNDBPiksQt\nIiKPghKAIiIiIiIiIiIiyZgmAEVERETkhRQdHc2IESMIDAzE19cXNzc30qVLR40aNZg8eTJxcXGJ\n3nfp0iUiIiL+9XPHjh1LcHCwU+XTDh06EBwc/K/7fNyOHDny2Pr+5ptvCA4OZt++fY/tGXeqUaMG\nwcHBTj/jX3/9leDg4Ht+derUKdE+33//fYKDg/nyyy/v+uy3337b6mvDhg13bbt7926r7bBhw+7a\ndv78+ZQvX56oqKhEr8fExDBmzBgaNGhA+fLladSoEePHjyc2NjbR9reLiIggKCiIWbNmJdlmy5Yt\ndOrUicqVK/PKK6/w+uuvM3/+fAz7XnkiIvJ0aQmwiIiIiLxwrl69SvXq1fnzzz9xcXEhf/78pE6d\nmkuXLrFixQpWrFjBpEmTWLhwId7e3tZ9s2fP5r333mP9+vWkTp36Xz07NDSUVatW8d5771nn/vjj\nDw4ePPjQ7+tx+Pbbb+nbty+RkZGPpf99+/axatWqh5pUfVCrV68mLi7OaXLq9OnTrLIXlLibsLCw\nBOdCQ0MZNWoUAJs2beLDDz9M8vdj06ZN7N1rFpnIkycPFStWTLQdwJQpU6wxFSxYMMl2+/bto0OH\nDoSFhSU64RYZGUmdOnVYu3YtGTJkoHDhwmzevJkFCxYwceJEfv31V3x8Ei9EERsbS7t27Vi9ejWN\nGzdOtM2QIUPo2rUrNpuNl156CQ8PD+bOncv06dNp3bo1kyZNwsXlVvYkPDzcen93ql+/fpLvEyBv\n3rwA1KpVC4AFCxYAsHbNasB5CbAL7k73utjMCV+XeB9HAwDGjDeXGzuW/mZzMZ8xa/x0696NS9cC\nMHbkaPP5DesB4J1kpMacWHUUMdmxfRsAUddvTdCWLvMKABkyZ0iqExGRR0YJQBERERF54QwYMIA/\n//yT4OBgTp06xf79+/nzzz8JDQ3lwIEDFC9enJUrVzJgwACn+0JCQrh06dJTGvXTMW7cOG7evPnY\n+m/Xrh0jR44kV65cj+0ZD6Jt27ZcvXo1ya/bk5sOEyZMAKBFixZcv36dqVOn3vM53t7ezJ07N8kE\nnmEYhISEOE2cJWbdunVUqVIl0YlJhy+//JK1a9fSokULjh8/zpo1azh27Bht27blt99+46uvvkr0\nvvDwcJo0acL8+fOT7Hvnzp1069aNgIAAdu3axfbt29m0aRNHjx6ldOnSTJ06lTFjxtz1PYiIyOOn\nBKCIiIiIvHDmzJkDwMSJE8mUKZPTtQIFCjBt2jSKFi3KuHHjGDBgALakNvSXh1atWjWqVav2tIdh\ncXd3J2XKlPfdPi4ujgkTJuDr68vAgQOZMWMGI0eO5L333rvr703dunWZPXs2v/32G0FBQQmub9q0\niePHjxMUFJRoMvHSpUt88cUXDB06FG9vb3x9fa1k3e3i4+MZPXo07u7uDB8+HE9PT+t9fv3110ya\nNIk5c+bQv39/p3vmzp1Lt27dOHHiBFmzZuXkyZOJvo8JEyZgGAYDBgywCnMAZMqUiREjRlC2bFmm\nTp1Kx44drWv77QU7HEvL06dPb12rXLmyU/93Jhodn2mNGjWAWwnA0T/9BMB7HTtYbV3d7Em/eEdn\n9slUe7WNePv5seNGApAaM7U5otUBABbvH2z19dP27gDUbmQmFEOmm/8OqVSxtH0c5iTpPydPmPeu\nMcd1LcL8mZw6cJ47TZtuJgxbtWyZ4JqIyKOmBKCIiIiIvHCuX78OgIeHR6LXixQpQqdOnWjWrBkx\nMTHExMTQpUsX/vrrL8BMVHXp0oWYmBjrnlOnTtGzZ08qV65MyZIlady4MTNmzHioPdC2bNnChx9+\nSGBgIC+99BKBgYH85z//eSTLhX/55RdatmxJqVKlKFeuHO3bt3eqynr8+HG6dOnCuXPnAOjSpYuV\niNy8eTNdunRh7969DB06lDJlytC4cWO2bt0KmJM2ixYtol27dpQvX56XXnqJoKAgPvvsMy5evOg0\njmnTptGlSxeOHj1qnfvoo48YPXo04eHh9O3bl0qVKlGqVCnatWvHtm3bHvq9P0orVqzg1KlT1KtX\nj5w5c1K1alV2797Nxo0b73pf8+bNAZg5c2ai10NCQnB3d+e1115L9Pq3337L4MGDKV++PFu3biVr\n1qxJPmv+/PlMnz4df39/p/MpUqQASLC8+/jx4zRr1oxr164xZswYPv744yT7zp49O/Xq1aNKlSoJ\nruXOnRvA+h0SEZGnRwlAEREREUmWYmINPhn6D8fORFGqUEo+fSu7da1SpUrMnj2b1q1bM2zYMPLn\nz5/g/uHDh1vfR0VFMX/+fM6fN1M8q1atshJUYC7DrF+/PuHh4RQvXpyAgAA2bNjA/PnzmTlzpjWZ\n8yAGDRpE9+7d8fT0pHTp0qRPn559+/axfv16xo4dy6ZNmyhevPi/+Wj4/PPP6devH+nSpePll18m\nJiaGkJAQJk6cyJdffknPnj0JCwtj/vz5XLt2DTAnkXLkyEHv3r3Zt28fQ4cO5dy5c4SEhACwdetW\n3n77beLj43njjTeYPn06adKk4aWXXsLb25tt27axevVqJkyYwM6dO/H19QVg+fLlTJw4kZYtW5Iz\nZ04AfvzxR0qWLMn333/P4cOHKVSoEJcuXWL79u1MnTqVFStWPDOpwXHjxgHQpk0bANq3b8/atWsZ\nNWrUXff3K1++PNmzZ2fu3LkMHz4cN7dbf5rFxcUxc+ZMatWqRZo0aRK9v3DhwsyaNYsmTZrcdZmw\ni4sLFSpUSPSa43fcsZ+eg6enJ59++indunXD39+fH3/8Mcn+u3btSteuXRO95ihy4ti3z8Hx2rE0\nOHPmzNa1O/dOjLfH9O58j6+3eh0AHx9zEjM+zpyMj7kRbbVxTWUmAGPtt7rdMRe//i9zOff2DdsB\naJClHQAvp3AFIF+1j6y2RQsVA6D/3A8BaNnKnJi12ROVhr34iuOnmAlz8tPPxUw0+nqfAWBf5K3C\nL5fjriMi8qQoASgiIiIiyc7liBjSV93IkKmnmLvqIv8bdZySLbdb17/++msCAgJYvnw5BQoUoFix\nYnTu3JmZM2dy4cKFBP15enpy9OhR6tSpA5gTgEePHsXT05MrV67QpEkTIiMjWbBgATt37mTp0qUc\nP36cVq1aMXfuXGui8H4dPXqUHj16kDlzZkJDQ1m/fj0rVqzg+PHjfPDBB0RGRvKTfcnjg7py5Yq1\nXPPo0aMsX76cNWvWsGfPHnx9fenfvz/Xr1+nePHiHD16lDx58lhj+u2335z6CgkJoX///hw7doxF\nixZRs2ZNFixYwPTp0wkMDOTEiROsXr2aNWvWcPLkSSpXrsyxY8eYO3fuPcf5xx9/kC5dOo4dO8au\nXbs4ceIEvXr1Ii4uLsk96x6FU6dOsXLlykS/du7c6dT24sWLLFiwgMyZM1tVnF977TVSpEjBzJkz\nE6Qdb2ez2WjevDkXL15M8LmuW7eOs2fP0qpVqyTvb9u2LU2bNr3nHoF32r9/P9999x3Vq1enZ8+e\nVKhQIUHl4oCAAL744osEicEHERkZyaeffgqYk6IiIvJ0KQEoIiIiIsnOK213En49znodHRvPX4eu\n0fKT/YR8XYjcuXOzY8cO+vfvz9SpU9mzZw979uzhxx9/xGazERgYSM+ePRMkoxIzceJELl68yEcf\nfUSDBg2s815eXowePZpFixYxdOhQevbsiaur632N/8yZMzRs2JA6deo4Le10dXXlnXfeYfjw4Rw/\nfvwBPpFbzp49S0xMDOnSpXOq/Jo3b14mTJjwQAU/ypQpQ+/evQFzKSjAzZs3qVu3Lj179rSWmAKk\nTJmStm3b8vvvv9/32MeOHWulw1xcXOjZsydffvmltYfc47B06VKWLl2a6LWGDRs6FcSYOnUqMTEx\ntG3b1vrZpkyZkubNmzN+/HgmTJjARx99lGhfYBYNGTRoELNmzXLaBzAkJAQfHx8aNGjAokWLHtE7\nM82ePZu+ffsC5iRk8eLFnZayPwrR0dG0bNmSvXv30rBhQ5o2bep0PV26dAC8/fbbCe51hPTi7Uvn\nbfYJTuu1YSYC/dL4AdC+fbt7jsf6o/eOPRmHDBvq9LpxBbMvV/sWkNG3/ePasEhNAF5Kb1YKHrXs\nOwAuR5qTpNVefhWADDfMxGYuD3NvQJ8b5v1dVzve660EYPH8zvuPiog8TpoAFBEREXmMmjRpQo4c\nOZ72MF4o5y/HcPr0q0A6p/OGAb+sv0x8PLi4QMaMGfnxxx8ZPHgwmzZtYs2aNaxdu5YNGzbw+++/\n8/vvv/O///3PmixJyurVqwEoWLAgBw4cSHC9UKFCbNmyhQMHDlCkSJH7eg8VKlSwCpU4XL58mT17\n9lgTQv920iZv3rxkyZKFtWvXUq5cOV577TVq1KhBiRIlaNSo0QP1ValSpQTnWrVq5ZRcMwyD06dP\ns2vXLmti7X7G7uvrS4ECBZzOpUiRAl9f38dalbhEiRLUq1cv0WuFChWyvjcMw1r+266d8yRU+/bt\nGT9+PKNGjaJbt25JpvRKlSpF7ty5mTNnDj/++CNubm7ExMQwe/ZsGjRo4DSB+qi89957dO/enfPn\nzzNw4EBGjhzJ6tWr2b59+wMVP0nK9evXad68Ob/++iuVKlViypQpKqIjIvIM0ASgiIiIyGM0b948\nBg8efO+G8sh4poymY4Y/GLSyfoJrcXEGd87FuLu7ExgYSGBgIH379iU8PJzhw4fTp08f+vXrR6NG\nje66156jOmpiaabbnT59+r4nAAHOnz/PkCFDWLVqFYcOHSIsLAzAaa+4f8Pd3Z158+bx+uuvs2XL\nFrZs2UKPHj0ICAigSZMmdO3a1Vr2ey+3V2+93f79+xk6dCgbN24kNDTUKjLxIGNPkSJFohNHrq6u\nD1VY5V5Kly5tFTu5m23btrF7925sNluChJtjfIcPH2bVqlVUr1490T4cy4AHDhxoVQNetWoVly5d\nuuvy34fh+Jllz56d4cOHc+rUKRYuXMjEiRP54IMPHqrvU6dO0aBBA7Zv307t2rWZNWtWEpOYVlle\n+zFhMtbF/rM37G3i42Ptd5rJXhe87C3v/B25/XfDvHb+yFkAjl6+BMDOEzsAmDfNXIr+UsqXAahQ\nuCwA1+3bdcZ539pPMDzO/BdHzizmpPTgd0cDYN8iE8NegDnGvur7hn17v03nzeXd6w1zsrhR61uT\n7IFl6iZ43yIij4smAEVEREQesy5dujztIbxwijffBjhvsO/mZqN13QysXbuWuXPnUq9ePWrUqJHg\nXl9fXz799FNOnTrFiBEjWLp06V0nAB2TVF9//TUZMmRIst2DTP4dP36ccuXKcfbsWfLmzUuDBg0o\nVKgQJUuWxN/fn9KlS993X4kpU6YMBw8eZMOGDfzyyy+sWrWKbdu2MXz4cCZPnsy2bdsSFG5ITGIT\ndGvWrKF27dpERUVRqlQp2rZtS+HChSldujQHDx7kzTffvK8xPuupsZ9//hkwK916eXkluJ47d27+\n+ecfRo4cmeQEIJjLgAcOHGgtAw4JCcHPz4+aNWs+trE72Gw2GjduzMKFCx+6uvLOnTupXbs2Z86c\n4d133+XHH3984MI3IiLy+GgCUERERESSnS1TSpK73mYuhUcTFW3gm8KVKqX9GNMnP+PGrWPYsGGc\nP38+0QlAB0cK7l7LVbNnz8727dspUaJEopM2586dI02aNHh4eNz3+L/88kvOnj1L165d+e6775wm\nwzZu3AjwUCm4iIgI4uPjreQjYE3cLF68mHHjxv3rQhvdu3cnKiqKqVOn8vrrrztd27p160OP/VkQ\nGRnJtGnTcHV1ZcOGDWTMmDFBm5MnT5IjRw4WLlzIqVOnyJIlS6J9lShRgvz58zNnzhy+++475s2b\nR9OmTfG0V5d9WEeOHOGDDz4gR44cjBw5MsH12FgzWfcwk3Xbt28nKCiI8PBwvvvuO7p27XrXCVwj\nQQLwVizXliDR56gCbD/avO3P/NM8btsDwJ79uwFYv2OJdWcKD7Ptod3mnpNnz1xJdDwt63cHIJWf\nmVaMtVceTpP61lhi3M0x3rDv6Rd/0/zcouLM9OKVKJu9nXn9WrxZTOirnR3MEx7m9f6fDEzwfMen\noQqdIvI46d8xIiIiIpLseHrYOLW8HN92yU3XN7Lwwyd5WTDETODVqVMHDw8PZs2axbJlyxK9PzIy\nkqlTpwJQsWLFBNfj4+Ot7x2TfqNHj07Q7tKlS+TPn59UqVLdtSLsnfbt2wdAo0aNEkykLFy4EIC4\nuLgE992PadOm4evryxdffOF0PiAggNatWwNwzbGu8Ta3v+e7uX3stzMM46HH/qyYN28e4eHh1KhR\nI9HJP4CsWbNSs2ZN4uLiGDt2bJJ92Ww2WrRowcWLF+nTpw8RERGPdPlv+vTpWbNmDePHj+fMmTNO\n1wzDYMaMGQBUrlz5X/V/9uxZ6tatS1hYGJMmTaJbt27PfHpTRORFpASgiIiIiCRbnVslTF0FBATw\n+eef06NHD+rUqUOrVq1o0qQJOXPmJCYmhr/++osffviBffv2UbNmTapUqWLd6yiSMHnyZGrXrs0r\nr7xC27Zt+fbbb5k7dy5du3alX79++Pn5cezYMTp06EBERAQdO3a0Kp/ej4IFC7Ju3TpGjhxJ2bJl\n8fLy4ubNm/z0008MGjQIgKtXr/6rz6RmzZqkTJmSH3/8kTJlytCkSRPc3Nw4cuQI33zzDYBTNWPH\nex43bhzFihWjfPny9xz7jh07GDp0KJ988gkuLi5cvnyZ3r17s2rVqoca+7PCsfy3TZs2d2335ptv\nsmTJEsaMGUOvXr2S3AOxefPm9O/fn6FDh5IxY0aqVav2yMaaMmVKOnfuzLfffkuzZs2YNm0a2bNn\n58qVK3z66aesXLmSEiVK0KxZs3/Vf8+ePTl79iwvvfQS165dY9SoUQnapEiR4o7P6s49/26bMDTu\nOBVvfuPi4rzM+t13zP0Kt23fZm/uYe85t9XGDXN/zrJpzQrLrV8yE79R0eZkfKWXzdflipUCIM5m\nTky7pjdTvzEpbqV2XVzN7IyHPeHnGm/ua+mCmTL08DJ/tu72YW7cYiZ1T9w8AsArr5YDoEiRfNxJ\nqRwReRI0ASgiIiIiL5yPP/4Yd3d3+vTpw9SpU6203+2aN2/OmDFjnNJMtWrVYuLEiQwcOJCBAwey\nf/9+ChYsyJIlS2jYsCFDhgzhhx9+wM/Pj8uXLwPQsGHDBy4E06dPH5YuXUpISAiLFi0iU6ZMnDp1\nCjc3N6tAycGDB4mJiXngpZv+/v5MnjyZVq1a0aJFC7y8vPD29ubKFXN5ZO/evZ32rKtVqxbbtm3j\n3XffxcPDg+vXryfVNQBDhgyhVq1afPrppwwaNAhfX1+OHz9OQEAA48aN46233mLPnj0PNOZnyZEj\nR1i1ahUpU6akYcOGd21bv359/P39OXXqFIsXL06yynLRokUpXLgw+/bto3nz5ri6JiyK8TAGDBjA\n6dOnmTp1Kjly5CBDhgxcunSJuLg4ypQpw7x58x5oibrDzZs3mT59OgB//fUX77//fqLtsmTJcs/J\nUhERebw0ASgiIiIiLxybzUa3bt3o0KEDS5YsYdeuXVy8eBE3Nzfy5MlD3bp1KVy4cIL7WrZsSaZM\nmVi3bh0eHh6kTp0agPz587Nr1y4WL17Mxo0bCQ8PJ2PGjFSvXp3AwECnScRmzZpRsGBBp0IeX331\nFeHh4dbrbNmysWvXLqZNm8bevXux2WwULVqUpk2bki5dOvLkycPJkycJCwtLshLv3TRq1IjQ0FDm\nzJnD33//TUxMDDly5KBhw4YJ3vfnn39OyZIl2bVrF6lTpyYmJoZKlSoxfvx4SpUqlaDvypUrs3//\nfqZPn87Ro0fx9vambNmyNGrUCG9vb3x8fIiKiiIuLg5XV1fefvttqlat6lR5eMyYMUnugTds2LAH\nfr93GjduHIZh4HJbSejKlSszfvx48uVLmNC6XWxsLOPHjycgIAAfH5+7tvX09GTmzJkcP37cWio8\nYMAAwsLCSJMmjVPbMWPGcOjQIapWrep0vly5cowfP56CBQve9VmOfhObEPbw8GDKlCm89957LF68\nmNOnT+Pv78+rr75KnTp17jnhGBQUxPjx4ylXrpzT+fj4+EQTf3dK+DndxxJhexLQdmfZbrsc2cyk\nnyMBmC9VGQBGZVpvtXH1tXeV1jymtQeCvez/yLjbCxRft69I90llVv31SWke/TxvpQ6j7UO+GmMO\nLNrVvBZn/+zc7VuF2sytAckVYP6zUWK/mTLcuHo5AK3evlUxesQ3P5njSvfg/wyLiDwom/G878Cb\nTC1btozBgwezdOnSpz0UEZG7OnbsGFWqVOHo0aNPeygizySbzfbcFzwQEXmU7vZvRNudF5OYK3yt\nUXMA5i6YBUD+VOZenf9qAtAei/HJaC7r9UljTgCm9PS1+rImAK+bA4y7aM703bxk3hxzyWzgmADc\nd9hcfvzV6rcA2BllTgC26NDY6lMTgCLyJCkBKCIiIiIiIk/QXaYArbSso41ZfMaIN2N6NhdzqfLM\nWebS4+p1zGq7a1auBeBn9/9ZXTXJ8QkAGTzMtF6EvQhwnL1vd/uzXOzzb3Eu5p/HsZjPunHbbGSs\nfS/CmBjzWlSM2TbOMTNomOO8Em5ez5gmKwA9Kk0CYOBmcwn0jPHzrD6vXzRjg4sWLkriwxAReXQ0\nASgiIiIi8pw6ceLEAxdvmDVrFtmyZXtMI3qyKleuTHR09H23//rrr52KuoiIiLwoNAEoIiIiIvKc\n8vLyumdV3sTuSS7Kli1LbGzsfbdPmzbtYxyN3C/b/ewBaG9jGPY9AG3OewG6upt7740abu5B6Nif\ncMrlz6w2J/ea1X6/KGsW4fF3N//8vexm9n3Nvl2in30PwBQ3zWfEe5iVfW9G3TbOeDPh53rVPLqH\nmX1ds997w4gCwMVmpvpsF8zO8900934cm8tcAvzdrm+sLkMWmQnFT3r2BODrr75yeo/x9mc69hC9\nfS9REZEHpQlAEREREZHnVPr06RkyZMjTHsZTM2jQoKc9BBERkedC4iWVREREREREREREJFlQAlBE\nRERERESeSXcue3VUVY+PN4/58xcAYP/+AwC0f7291XbZmh8B+HzzdQB6Vf0ZAFdzhS9u5gpbPG7Y\ni33Em8uKz9tjMqni4m492F78Izravkz4pnna9YZ5zBVldnojzDxesPcRes18dtQ5c2lwVr9ct/oM\nMw/fDBwIQJ1aNQGoUqVqou9ZS4BF5GEoASgiIiIiIiIiIpKMKQEoIiIiIiIizzRHCu7W0Yzv2etk\nkClTJgAWLVlg3VO3WS0Ali0aD0Cpi/UBaJa6sdmH/eYYHzNZF2MPArrGmt/cdIm/9fxYeyGOG2ZK\n0NOeAIwMM78Zs3M+AL/smw3AqdiTAEQY/wAQZVy453uMjLzp9NrFxSXR964koIj8G0oAioiIiIiI\niIiIJGNKAIqIiIiIiMgzKan0m6urq/281RIAd09P696UqbLYv/MBIK3ha7aJMM9Gupt93TDMo1uM\nmfjziY8GINz1Vl/xLuYefu7hZkovZZy5198XO/4PgEW7RgCQPksqs69Iczy5cwUAUDO4mTnKG7dS\nhTWrmwnFcq8EmuPzT2s+K/5Wm9vfs4jIw1ACUEREREREREREJBlTAlBERERERESeSUnte+c479gn\nz+Fo6D/W9/MWTAWgsM1M2lX3ehUAD7MwL9f8zD69zMAfPtfMvmI8vQCIjb6VxIuN8QDAzQwTMvfQ\nSuBW8q9S9bIArP3lNwBcY8w+Im1mH97e95+9cbzXO9OPd14XEXkQSgCKiIiIiIiIiIgkY0oAioiI\niIiIyDPpzoTfvSrhfj1syK0X9qRf66LvAHDlrPn6n/iLAKw7MgWAk5gVeq+dN/cVrFmgOgBVsgda\nXdnMW4h0M+OCP+381Om5Pbv3B8DV3Uz+4W6288RMDkbZ23ncdo/NXskYm6PaL07vTUk/EXmUlAAU\nERERERERERFJxpQAFBERERERkedCUqm4E6dPAjB+0k/WOTfMSr3T/x4LwOdRvQCI4sBdn7H63FcA\n9Ci2xDpXp0AwAHGMMjcAACAASURBVEt2rQEg9OoWAN7t3sG8Xr2G2TDW8XB7lWL7S3fH+Imz+oy3\nmRWFXexVipX4E5HHSQlAERERERERERGRZEwJQBEREREREXmuubqYiTsvFx/rXDhhABxxXQ1AvhI5\nASj8cn0AmtZvAUD5UlUA2Lx1GwAd3n4dgM9217P6OmzrCcD6w2sB8EhhZml6/qe380Ac+/phu+1/\nbyVvbq/nG2fPBSqVIyJPgv5dIyIiIiIiIiIikowpASgiIiIiIiLPtcyZAgBYMGOide7CTTON90q5\nmgBkTGHuCejqQ6Ky5chqHjOtAqByzSrWtcm7PnNqO3zIJAByZs1tnoi37+3nZtb7jbd2/XNkbqLt\nR0dCEFzwuvubEhF5hJQAFBERERERERERScaUABQREREREZFkoUpwg3u2ibXv0xcb75yHcXc1z5et\nWB6AtatXWdeaNjP3CyxZpiQA773dyrzgCPTZA4Dxbuaf2DftWRvHH9we8Y49AW8909WxQaCK/4rI\nE6AEoIiIiIiIiIiISDKmCUAREREREREREZFkTEuARURERERE5LlmGM5HABeb44W9AIfNvizX5m4/\nWnfb/9c84VjVW75sJauv/Xv/BsDD3cPs21q3G2se7Et/bbia7RxjcHRgcxQFuY2W/orIE6QEoIiI\niIiIiIiISDKmBKCIiIiIiIg812w256P9lf3omfhNLs7t7laTI1VKn3v04Xxvgj+0lfYTkadMCUAR\nEREREREREZFkTBOAIiIiIiIiIiIiyZgmAEVERERERERERJIx7QEoIiIiIiIi8gwx7OWMb+1p6LyJ\n4K1ix/EkbKGcj4gkpH8ziIiIiIiIiIiIJGNKAIqIiIiIiIg8ExzJPzPPd+TIAQBG//wVALlyFAXg\nrQ4fAeDqeivTYxjx9nufzEhF5PmiBKCIiIiIiIiIiEgypgSgiIiIiIiIyDPBjO/FxkQBUKtWPQAO\nHXL86b4IgFlzJgGwdPGf1p2urj5PaIwi8jxSAlBERERERERERCQZUwJQRERERERE5BkycmxvAA4d\nyghAqTQbAPBMa15fuTTv/7N33/FRVekfxz8z6YRACB1C770XAZWOqKiASFNEBRddEBVXXEF/ICoo\ni7giEIqCoFQJoC6EDitFkBIBAem9hZJGeub+/rgzN5kU2qKB8H2/XrOTOefcc89MIpBnn3MeAJ7p\n3sG6ZtH3P7vNkVZJWIcCiogyAEVERERERERERHI1ZQCKiIiIiIiI3EVWr17r/Ko9AGevmq+inc81\nC28HIHRRCeuaWd9+AUCfZ19zm0uZgCICygAUERERERERERHJ1ZQBKCIiIiIiInJXMLP1rlw2c3Uq\nF3wAgOKFzN7LkWZ/UmQgAN68ZV05b2EIkJYB6Mr4c2UAisj9TRmAIiIiIiIiIiIiuZgCgCIiIiIi\nIiIiIrmYtgCLiIiIiIiI3BXMbbvJSakABJdNAaBeLbP39EXz9f5tXgAEJL5kXXlg9zIAzpzbC0DJ\n4jXNGVX8Q0RQBqCIiIiIiIiIiEiupgxAERERERERkdt0q0U2biYjz+7pA0C+PBcAqFPHbI/fZV6b\nz1kUJDq2jHXN8ePeABw77p4BKCICygAUERERERERERHJ1ZQBKCIiIiIiInKbssvoc2UGZswQzGq8\na4irq1LlAgBs+nETAE+0ewWAFId5NmBKovmrfEryBWuOoKBIAAoGlc5yHToLUOT+pgxAERERERER\nERGRXEwZgCIiIiIiIiL/o6ioKCAt0y5fvnxu/a72xMREqy011czoy5Mnj9vYHt2eA2DRt+8BsGG9\nec2VSPNswLgr5rhzqaHWNY1rJgBQrUqz//GdiEhupAxAERERERERERGRXEwZgCIiIiIiIiL/o65d\nuwJw/PhxAA4fPgxkPnuvWbO0DD1XBmB4eLjbmI4degLQ4MHhAPy44isASge8CsC56GjzeoZZ1wzo\n/26W69LZfyICygAUERERERERERHJ1ZQBKCIiIiIiIvI/OnXqFABHjhwBYOvWrQA0adIEgN27dwOw\nc+dO65q8efMCEB8fD4Cfn5/bnN27dQPgv6tXAeAbbWYARjAIgBderm+N7fPsW3fqrYhILqQMQBER\nERERERERkVxMGYAiIiIiIiIitykmJgaAhIQEt/Z58+YBaRmACxYsyHRt0aJFAUhJSc1y7n379ju/\nCgYgyepZBEC/l0Juc9Uicr9RAFBERERERO46ly5d4sKFC/j4+FC6dGm8vb1zekkiIiL3LAUARURE\nRETkrhAfH8+XX37J9OnTOXjwoNXu5+dH586dGTVqFOXLl//L1jN9+nTeeecdPvzwQwYMGHDL16ek\npFCsWDEqVqzIL7/88ies8NZs27aNihUrEhQUlNNLyVXi4uIAaNCgAQAdOnQAYMWKFUBapd+wsDAA\nhg1Lq9y7b98+ABITzezBgADzTMAjx3YAMD1kMwB+rHY+u3wIwODX3rNafv3l2TvzhkQkV9IZgCIi\nIiIikuOOHz9OgwYNePvtt7lw4QLPPPMM//jHP/jb3/5GiRIlmDNnDvXq1WPTpk1/2ZoSEhK4fPly\npq2dt+Ly5ctERkbewVXdnpEjR9K0aVOio6NzeikiIpIDlAEoIiIiIiI56tq1azzyyCP88ccf9O7d\nm0mTJpEvXz6rPzU1lffee4/Ro0fTpUsX9u/fryy2W7RlyxYMw8jpZeRKrgDxhQsXAHjttdcACA8P\nB6B///4A5M+fH4Du3btb1/bs2dPt2kKFCgEw/vNRACQmPghAgyJ1ALh0xbyuZMrrAGzfOteaa+KU\ndwD4+9/GuK3P9X232Wy3+xZFJBdQBqCIiIiIiOSo8ePH88cff9C6dWtmzZrlFvwD8PDw4KOPPqJ1\n69ZcvHiRL7/8ModWKiIicm9SAFBERERERHKMw+Fg8uTJgLlN1W7P+lcUm83GBx98wLBhw2jXrp1b\n3/bt2+nRowfFixfHbrfj6elJlSpVGDFihNv23fPnz9OyZUuGDBmSaf6IiAhatmzJ66+/fsM1X7ly\nhbfeeouyZctis9nw9/enXbt2rFq1KttrtmzZQosWLfD09CQgIICnnnqK3bt3ZxoXFxfHmDFjqFev\nHn5+fthsNoKCgujUqRO//vprluM/+OADqlSpgt1ux8/Pj5YtW7Ju3ToAoqKiaNmyJdu2bQOgR48e\ntGnTxm2OtWvX0r59ewICArDb7VSoUIH333/fOtvOZfLkybRs2ZKDBw/Svn17PDw8qF27Nnv37r3h\nZ5bVuv/5z39SsWJFa92NGzdm8uTJOBwOa9yOHTto2bIloaGhhISEUKFCBWw2G0WKFOGVV17h8uXL\nt3xvEZH7kbYAi4iIiIjIn+7giXj+PuYQF64kU6GkD9Pfr0rBQE/++OMPzp49S2BgIM2aNbvuHM2b\nN6d58+ZubWFhYTz++OP4+PjQuXNnSpYsycWLF1myZAkjR47k5MmTfP3114C5VXPDhg14emb+NSgx\nMZENGzbc8H2cOnWKhx56iOPHj9OoUSO6du1KREQE33//Pe3bt+fzzz9n8ODBbtecPXuWVq1aUa1a\nNYYMGcLhw4dZvHgxK1euZN26dTRp0gSA5ORk2rZty5YtW2jYsCEDBgzAZrOxefNmfvrpJ9asWcPv\nv/9OuXLlAIiNjaVly5bs2LGDGjVq8OabbxIdHc2cOXNo27YtoaGhtGrVisDAQOs958uXj7x581pr\nmzJlCgMGDCBv3rx069aNIkWKsGHDBkaNGkVYWBhr1661xh85coQNGzbw0ksvsXHjRoKCgjhw4ADF\nihW74eeWnmEYdO3albCwMFq3bs3TTz9NXFwc33//Pa+++ionTpxgzBhzG+vVq1fZsGEDERER7Nu3\nj549e9K/f3/WrVtHSEgIa9euZevWrQQGBt7SGu4kVyB3+/btADz00EMA1vfVlbH64Ydm4Y5atWpZ\n1/7+++8AXLx4EYBKVczPcv535vbhR5uYQWU/H3N8nggzOHr5qBkoP5PYzZpr7rwpQOYtwNr6KyKg\nAKCIiIiIiPzJ9h+7RrPndxMZkwzAnoPX2Pzbr+xZ2JBDhw4BULVq1Wyz/7JjGAZDhgwhNTWVtWvX\nWgEXgBEjRlClShXmzJnDtGnT8PDwuCPvZcCAARw/fpyhQ4cyevRoK7jy7rvv0qJFC958803atGlD\nzZo1rWtiYmLo3r073333nbWOOXPm0Lt3bwYMGMDOnTux2WzMnz+fLVu20LVrVxYuXGjNbRgGL730\nEjNmzCA0NNTKYBw9ejQ7duygR48ezJ492wryvfzyyzRt2pTXXnuNY8eOsWTJEh555BFWrFjB1KlT\nKVu2LAAHDx5k4MCBFCtWjI0bN1KhQgXrfkOHDmXs2LF88MEHfPrpp26fwd69ewkPD6dOnTqcPHnS\nOrfuZv3++++EhYXRpUsXFi1aZLUPGzaMqlWrMmHCBD744AO8vb2tvn379jF9+nReeuklAIYOHcqQ\nIUMYP348o0aNYty4cbe0BhGR+422AIuIiIiIyJ/qqTf2W8E/l4tXknnqjd+tbaYZz/27GSkpKfTv\n358xY8a4Bf8AypQpQ/Xq1UlMTLxjlW9PnTrFsmXLKFu2LB999JFbZlXVqlV57733cDgcTJ061e06\nb29vJk6c6BaE7NWrFy1atCA8PNzKICtbtizDhw9nxIgRbnPbbDYeeeQRIC1TzDAMZs6ciYeHBxMm\nTHDLamzYsCH//Oc/6dq1KzExMdm+n+nTp5OSksLw4cOt4J/rfh988AH58uVj+vTppKamul33wgsv\nUKeOWZSidOnSN/fhpRMbGwvApUuXSExMtNqLFi3K6tWrCQ8Pz5Sl2bhxY1588UW3NY4aNQp/f39m\nzZrltm34rxYdHU10dDRJSUkkJSVht9ux2+20bduWtm3bWuO6detGt27dspwjICCAgIAApk2bxLRp\nkzASy2Mklqdly0q0bFmJ4qUNipc2KFIMihQD30DzkZ/O1uPy+WAunw/mSuRhrkQe/qvevojcI5QB\nKCIiIiL3jXr16pEvX75bzjST2xcbn8olR1+gYqa+42cTSDHMvY0Zz5u7GV5eXm5n9l2+fJmjR49y\n4MABtm3bZmUXZgxg3S7XFs+2bdtmmVHYsWNHXn/9dbZu3erW3qBBAwoWLJhp/MMPP8zGjRv59ddf\nqVOnDi1atKBFixYAJCUlceLECQ4fPszu3btZsmSJ23u5cOECZ8+epXbt2llm4I0aNeqG7+eXX34B\nIDIyknnz5mXqL1q0KIcOHeLIkSNUrlzZ7f38L+rXr0+5cuX473//S3BwMB07dqRDhw506NAh27nb\nt2+faSurv78/9evX5+eff+bYsWNuQUwREXGnAKCIiIjIHXTkVDzHzyZQv3oABQL0T627zaFDh1i4\ncCF+fn45vZT7RkxcKpv+u4pPVmQOAF6JSqZebTOwdOTIkRvOZRgGSUlJ+Pj4WG2RkZGMHDmSefPm\ncf78eau9cOHCd/zssytXrlhzZ6Vo0aJu49KvJSuu9vTjf/rpJ0aPHs22bdtISUkBwG63Z8q0u3Tp\nEsAtb79NLyIiAoDhw4dfd9ylS5fcAoC3k62Znre3NytXrmTw4MEsX76c2bNnM3v2bOx2O61atWLk\nyJGZznosXrx4lnO5AquXL1/OsQBgo0aNAPjqq6/c2lu2bAnAN9/MArDWl5SUlg07bdo0AEqVKgLA\n62+uBKB505cBKG8e90hispnhGBVlvvb2N5/z+wRYc12LNX9erlwxfzaCAjP/Nyci9y/9q1RERETk\nDun61j7WbovEy8tGHh87k96tlNNLkgxsNhsPPvigWxEE+fNNXVEMD/sVUh2G1ebtaeflp4tTtWpZ\nChUqxLlz5zhw4ABVq1bNdp69e/fSpEkTOnTowOLFi0lJSaFt27bs2LGDunXr0r9/f2rWrEmtWrWo\nUqUKDRs2ZNeuXZnmMQwjU5sr2HY9rjPp0lcWTu/atWsA5MmTx609KSkpy/GurEd/fzOaM2/ePHr2\n7EmePHl47rnnaNSoEdWqVaNevXqsWLGC7t273/RaboaXlxcAK1euzDZICVCpkvufZXcisFqxYkX+\n85//cOHCBVasWMGaNWtYvnw5a9asYePGjezatYtq1apZ47P7DF2fuf6bFhG5PgUARURERO6Abm/t\nZ8naS6SLb9B96P6cW5DIXeTHf9eg+9D9rNseSXy8g3z+HvR5oiijB5npTT179mTChAn8+9//ZvLk\nydnOM2nSJOLj4wkIMLOeVqxYwY4dO2jatCkbN25025ZrGIaVEegK+LkCV8nJyWR07ty5G74PVyDs\nt99+y7I/PNys3FqxonvmlWsrckaueapXrw7ARx99BJhZgK1atXIbm/G9lC5dGk9Ps4qyw+HItK19\n3LhxrF27ltGjR1O7du1s38+ePXtITk6mbt26mfrXr19Pvnz53Ipx3AlXrlzht99+o2LFipQqVYo+\nffrQp08fkpOT6du3L3PmzGHRokVumYn792f+89ThcLBnzx58fHxydPuvKzvS9ez6HrkyJfv0ec6t\nPf33ql+/fgCcOXsQgNPHIwGo17o1ABHmS1JSzJ/tVMMMhPrYzdcnEzdbc9UoYA6uWD7z91JERAFA\nERGRXMQwDPbu3fs/b8+SW3PoZBxrf41wC/4BxMbdmXPHRHKD+Z9U4+ddURw9nUDVcn40qZn259Rb\nb73F119/TUhICA0bNuTFF1/MlGW2cOFCpkyZgqenJ0OHDgXg7NmzgFmAI+OZfGFhYVZQzxXwc20X\nPXDgAImJiW5biefOnXvD99CwYUNKlizJunXr2L59Ow0bNrT6HA4H48ePB6BTp05u1x05coS1a9fS\n2hnUATh69ChLly6lSJEi1nZX1/txBQRdkpOTmTVrltt78fX1pV27dixfvpzFixfTtWtXa3xSUhKT\nJk3i5MmTfPPNN0Ba8DN9puOTTz5JaGgoY8eOpUOHDm6f4e7du2nTpg358+fn7NmzVrbgnTB37lwG\nDhzIW2+9xdixY612Ly8v6taty5w5czLdb+HChXz44YdumYqhoaGcP3+eLl26uH0vRUQkMwUARURE\ncpHo6GgaN25snUMlf434RAe9uz3FhJ+fzrLf4QDVnBCBB+vl58F6+TO1ly5dmpkzZ9KjRw/69evH\nt99+S48ePShTpgwREREsWbKE0NBQACZMmECNGjUAaNq0KQALFizgiSeeoHXr1sTExLBkyRLeffdd\nPD09SUlJISoqihIlSpA3b16aN2/Opk2b6N69O0OGDAHg22+/Zfbs2TcMInl6ejJu3Dh69OhBx44d\nGTduHA8//DAXLlzg448/ZvXq1TRu3JjevXu7XWe32+nWrRsTJkzgwQcfZPfu3QwaNIiEhARCQkKs\nDLtmzZrx008/8frrrzN69GiCgoLYvXs3I0aMsLIFo1yHwGEW+li9ejUvvPACV65coV27dly6dIkR\nI0Zw9OhRXn/9deuMwKCgIADef/99GjduzMCBA+nVqxcTJ05k/fr1dOrUieHDh1OqVCm2bdvGG2+8\ngcPhYMSIEfj6+t7aN/oGevbsyXvvvcf48eMpUKAAXbt2xcfHhy1btjB69Gh8fHx45pln3K65evUq\nbdu25fPPP6d8+fKsWLGCN998Ez8/P7eCJ7GxsQQHBwNw4sQJ8ufP/PN2p2XcUu56abe72g1nuxmE\nzWoHdarDDOymJJt/WZw9Yf4susKg0ZHmHLER5s9KvFXY+gdrjmYtSjq/cv9+ZcyAFZH7kwKAIiIi\nuYyPjw/Hjx/P6WXcV85EJNGszy4gMct+Bf9Ebuzpp59mzZo1DBo0iPXr17N+/Xq3/rJly/LZZ5/R\nuXNnq61WrVp8+umnvPPOO3Tp0sVqz5s3L8OHDycqKorRo0ezdetW6zy5KVOm8Pjjj7N06VKWLl0K\nQIECBVi0aBEvvPDCDdfZvXt3EhMTGTx4MM8//7xbX9euXZk6dWqm7LW2bdtSoEABt8Cgr68vEyZM\ncJtjwoQJ/PHHH8ybN8+tKm/Lli3ZsmULTZs2ZevWrRiGgc1mo0GDBvz444+88MILvPzyy273/Nvf\n/sann35qve7Tpw8LFy5k7ty5zJ07l8cee4xKlSqxbNkyXnzxRX744QeWL19ujffx8eHjjz9m0KBB\nN/xMblVQUBA//PADzzzzDMOGDWPYsGFWX9GiRfnuu+8oV66c2zWPP/44R48edcuiDA4OZvbs2Zky\nJl1B0qzOehQRuV/ZDP2peFdasWIF48ePJywsLKeXIiJyXSdOnODhhx9WwOkuERUVRZkyZYiMjMzp\npdx3Zv90gQEfHSIuwWG1FSvoxfk1zfRL6F0kICCAc+fOqWDAXcwwDPbt20d4eDiXL1/Gz8+PGjVq\n0KRJk0zbfF1OnDjBzz//TExMDMHBwbRs2ZKAgACioqI4duwYQUFBblV0k5KSWLt2LceOHaNIkSK0\na9eOfPnysXfvXnx9fa0z/CIiIjhz5gwlS5bMVCTj2rVrrF+/npMnT5I3b16aNWuW6Rw6wzD47bff\nyJcvH+XKlePXX39l165d5MuXjzZt2lCkSJFM7yUpKYn169dz9OhRfH19adSokZXxuH//fhITE6lR\no4ZbkDExMZENGzZw5MgR/P39adGiBeXLl8809+nTp9m5cye+vr40b97cKj4C5jmFv/zyCzExMRQv\nXpyHHnrI2jLtcubMGSIiIihXrtwdyaxLTExk06ZNHDlyBIfDQfny5XnooYfcMjFXr15Nu3bt+Pvf\n/8748eNZtWoVJ06coFy5crRu3TrT+YSpqans2bMHMAPE2f3M/DUMtyds5t8PDiPt7wm7zfw+bvh5\nCQC9nv4XAHXLbATAdZBEUpK5dTvpkpnDs+fMGgCiaWvNdfDwrwBUqpC2NV1ExEUBwLuUAoAicq9Q\nAPDuogBgzpr5wwX+L+QEDoeDSqXzMG9MNYoW9FYA8C6iAKDIvSV9APDLL7/M6eXcIgUAReTuoS3A\nIiIiIndI3yeK8nynoqSkGnh56qwlEZH7m/PvAVuS87V5HoQr6JfeH0e2AHAlwhx7xTkk8qr57Egx\nf3U/nrQbgCRn4O+zcUOtORT4E5HrUQBQRERE5A6y2VDwT0TuG1u3buXhhx++pWvOnz9PYGDgn7Qi\nERHJigKAIiIiIiIiclvKly9PSEjILV2TJ0+emx5bvXp1ZsyYQdWqVW91aXcRVyWozL9+h8x4HYCR\nQ04D4GPMAuCXM987R7gKs+xxPh8E4N1hrwDwxptj7vRiRSSXUgBQREREREREbkvhwoXp27fvnzZ/\niRIl/tT5RUTuFwoAioiIiIiIiNxhDsMs3GG3uf/a/d7/DbC+/vCD486vJjifzb7nXzSPkuj4qHnW\nX2JScQDatZ4JQPGi1Z3j0xeZcn1tR0QkI/3JICIiIiIiIiIikospACgiIiIiIiIiIpKLaQuwiIiI\niIiIyB1mz/Dr9rfz3gHgww/Wpmud6nxuCcDXs3oC8MJz/7rJu9iy+VpExJ0yAEVERERERERERHIx\nZQCKiIiIiIiI3GnOhLyde34EoO/z3zo7Hk43qBUAGzbMA+Chh7q7TWEYZmEPm03ZfSLyv1EGoIiI\niIiIiIiISC6mDEARERERERGR6zEcaV/bUp1trl+nbW5PLpGxewF44qm+AKQmbXb2fGONGfv5q0D6\nzD/zPs7EP2zK2RGRO0R/moiIiIiIiIiIiORiygC8yySnGHh56nwHERERERGRnOdMxSMlrcnhyvhz\nZgXaPNyu+HH5FAAG/N2s5Hv2mKvq7zoAevfZYY19a/AK97s557bZ9TuhiNxZygC8Szw9ZD+2ev8l\noNkmHh24x0r5FhERERERERER+V8oA/Au0LLfbv67MxKAxGQHyzdd5ffwg1TLm8MLExERERERua+5\nsv28MzW5bNu5CIA333oDgE3r/J3DtjpHzAWgU5cFAHz7zQ+Z7uJwJJlf2O3Oa/WruojcWfpTJYfN\nWHqB7ftiMmX8nY1IwjsyIWcWJSIiIiIiIiIiuYZbALBJkyYcPHgwp9ZyX/LwKcy14tMztaekGsQk\npWRxhYiIiIiIiNwew/m/5nPmKruxABw8ugmAs2dPAWB3FLVG/L7/VwDWrg0HYNGCGs45pzlHfO18\n3QuAoUNLAjBmzGpnv5c1l8MwM/9szgxDmysxREcAisgd5hYAXL16NampqTm1lvvSV4svEHtyHiOW\ntHJrt9ts5PH1yOYqERERERERERGRm+MWAAwICMipddy3hrwQSKUnHgXi3doD8tipXNwvZxYlIiIi\nIiKSi6Vl/pkZfyM/HgjA3Nlmhd7LpzsAcCnWrPTr6bHFutbT8RgAycajzpbazudvAKhf5zwAX04z\nMwAfaPS3DHdPO//Jnv5sQRGRP5GqAN8F9i9uyAN18uHn60G+vB40qBbANx9Wy+lliYiIiIiIiIhI\nLqAiIHcBTw8bm2fW5czFRJJSDMqV8GXFihU5vSwREREREZFcxjxcb+/etQA80eUVAI4dagdAHpYA\nEEeMc/w+AFJSZ1gzeHASAD9nX1Cp1wAY+XFHAPo+u97tXi4Oh/PcwXTNNp31JyJ/EQUA7yIli/jk\n9BJERERERERERCSXUQBQRERERERE7hMJADz+VF8ATh6ZCUBBagKQmv99ADq2uQZA1WrOJA17RWuG\nShWTAaherQoAdev+CICXl1kp2MA8N9AwzAKbNuev3Xa7zdmedgagiMhfRWcAioiIiIiIiIiI5GIK\nAIqIiIiIiIiIiORi2gIsIiIiIiIi9wlfAHp3/zsAH3/8EQBVWngBMHfBOwCULt7ytu9gc+bZ2GxZ\n59vYVPlDRHKAMgBFRERERERERERyMWUAioiIiIiIyH1lxIjBALRtXw6AWjWaAVCoULBzhFmowzDM\ngh42m8dfu0ARkTtMAUARERERERG5r7i25wYVKAaAl5dPTi5HRORPpwCgiIiIiIiI3Fc8Pb0BqFP7\noWxGmOf0e1uwowAAIABJREFUKfNP5F6wG4gDkp2vM5+zaRjZvTa/cJ3N6Xo2DMPt+Xpnd6aNMZ8d\nDofbNVY/Zrvdo6B17d69BwEoUcI8nzQoqAAAKSmpzhEO97dkrdvVb/6fF3Z7Sez28tmuEXQGoIiI\niIiIiIiISK6mDEAREREREREREblHOTCMFFzZchmz/dxl7HTP0kt77T4+/ZwZx2Y8M9TVbY0zzMxE\nD68qAMyb+7011yefTAdgV/hXzpZU54xJbsu1kTEz0TVDsnWd/QYpfsoAFBERERERERERycWUASgi\nIiIiIiIiIrlEWrqe6+g+V8Zc2ll+htuzK7PO4bhu+mCW16RxzZ3idk8vr0IAJMRfAOD11z+1rhj3\n+WvOrwoDkJx0yrzW7nCby8uzCACpqWZmYEpKlLPfldd343UrA1BERERERERERCQXUwagiIiIiIiI\niIjcowznw5U150jrMbI74y/rjLnsz/fLPD6tyq+zwe6s9usw2z09XDl3ZvZex8e7AlC9Rlq13t49\n+wCQ6tjvvJuX+ewwM/98vIsBsCJsPQB58pjXPfhQMwASk2Ld1nk9ygAUERERERERERHJxZQBKCIi\nIiIiIiIi9ySHw8AwDGy2zBV7M2bGZczkc73OWGX3ZjLqXFV/MTzMOQzzfD5Xs82rGgBfTZ8GwM/r\nfwPg/MUf081yBoDUZDM8Z9jMOXy8fZz9ZpXfMWMWAvD2Pzs72+3ONdzsapUBKCIiIiIiIiIikqsp\nA1BERERERERERO5JdrsXhuGNK8fNkRqfrteZ2ZcxR86WIRPQdeafLZtcOoct3VhXSWGH87Wrw/zK\nx6cgAOfOmef69ev/EQDj/jUEgEIFq1hzJSTscc5lnv3nMFKcPeY5gZMmTQUgT14zy7Bjhw4AJCed\ndd7S0+3e16MMQBERERERERERkVxMGYAiIiIiIiIiInJPiomOIiUlCh/fAgDkyeNr9SUnxZlf2LLO\nf0ur+ZsKgJenn1tPcnKC+cpId70tY6VgMxPQy8PD+To/AM90exWAYsUKAfDmkN7O/iPpVuDlvJ15\nfz8f19l/5n1nzFgGwIsvPea27uRU19mFN3P6n0kZgCIiIiIiIiIiIrmYMgBFREREREREROSetPQ/\nv3Ix4gwb1+8EIDR0htXn4WVm26Umm2frGa6kPVf1XEciAN4+xQE4c/o8AEkpEQCUKVMGgJTkZGvO\njJWEHQ6zcq/dXgGAVSvWA7Bx0y4AFv8w1jkyDwBx8WfSXe0+l81mng/4xRf/BuD8+SsAvDLgUefo\nC+Y4w/0cwpupA6wMQBERERERERERkVxMAUAREREREREREZFcTFuARURERERERETknvRsz9bANT75\ncCoA/fu9afVNmz4JAId9t/nsMItt2GzmXmAfn6IAhIYuB2DSpJ8AKFumGAAfj+kLQJHCgdacCYkJ\nbvf383EVDjELjvQbMAqAypVLAfBUp3YApKaY25ENZ8EPAE9PswiIj3cNAH7eGAbA4MGfAzDrm3ed\nI4uYd4g95rZ+qwiIoS3AIiIiIiIiIiIi9zVlAIqIiIiIiIiIyD3KzMDbuMUs/lG54tNWT83qpQEY\n/OYbZkPyfgBSDVdRDx8AJk42M/8KBplzTf9qDAApqScBiIuPS3c/M9vOyuTzNguF/PDjDwCcPH4O\ngGX/Ge+2yoTEawD4+5dK12pm9k2dMg6Avw2YAMA/hvYB4Lk+Pc1lxx81h9tc2YMe3CplAIqIiIiI\niIiIiORiygAUEREREREREZF7UmLKRRyOaCpVqAtAWFha5t0jj5iZf16+Zvjr1VcHA2BL2e8ccQWA\nmdPN9u7d/g+APs+b102bap4nmMfXx5ozPiERAF8fb2eLmR34+uB/AVC5alkAOj7azNl/CQB///oA\nXL3quje0b/McANt3HQZg+tdDAXjphRcASEo6AEByatZn/BmubMQse90pA1BERERERERERCQXUwag\niIiIiIiIiIjcmwxPMDxJijez5Tp0eNzqmjPbPI+v13OfAnDxkvl6xPsfOkdcACA4uBAAm7eFAlCz\njjnHjG/MqrwDXu5rzenn5zoP0KwUvHDBFwAcO3YZgOVhrrkrO58PATD209EAvD30K2uuYiXN+567\nsMR8XaQSAPHXzCzBZOeRfx4e7tV+DZwdrtQ/w8GNKANQREREREREREQkF1MGoIiIiIiIiIiI3JtS\n7eDwwOERD4DDcdDq6vns3wHwy2vmv3XubFb3DQkxM/t2bv0SgP1/nAJg5mzz/MCHHzDPE3yuR2vn\nTBHWnO+8bV4Tm2BmD36/sLizpzMANatvBeDwAbPS8GNPmRmCB/8wz/kbOKiTNdeEL0Y4vzLPFYyN\n+R0AAy8A7PZU5+sMbO4vDVvGAZkpA1BERERERETkHhEZGcnp06e5fPlyTi/lppw5c4azZ8/m9DI4\nc+YM586dy9E1GIbB6dOnuXDhwk2Nj4+P5/Tp00RFRf3JK5P7gTIARURERERERO4RTz31FBs2bKB0\n6dIcPXoUDw+PnF7SdVWpUoW8efNy/vz5HF9HYGAgp0+fzrE1JCYmUqpUKerUqUN4ePgNx69YsYLO\nnTszdOhQxowZ8xes8N7kZUvCsCXg4SzK+/0vBay+yetiARj3qlnV14gyz+WrXP81AEqW7glAvbrV\nAXj77ccA6NGzs3MGM7Xuiy8GWnN+Mrap86tXnM9mdV8P+0kAKlWaDUBCopn555/XzPzbtOVzAJo1\n7WjNlZJkng8YFx9j3s3Dy3nXFHOA88w/mzPDz+FK9XOmBNrtDuf4G9cBVgagiIiIiIiIyD3g8OHD\nbNiwgcDAQE6ePMmyZctyekkico9QBqCIiIiIiIjIPWDGjBkAvPfeewwZMoSQkBA6dep0g6sE4NKl\nSzm9hFvWqVMn4uPj7/osz5xm93RgGA4S4s3suRV7/K0+h2GGvf5virllfkDnhwE4eHg9AIsXmdl6\n3XpMAqBnr7EA/POfqwGoXLkZAOs3uLL+AJzZmLa85hNmVWCHw8wETEg0sw47PbIPgB+Wf+68rjAA\n167tsWZKSTXP+HN9jw1nNd+M+XwZi/warmrArvHGjTMAFQAUERERERERuculpqYyc+ZM8uTJwyuv\nvMLMmTNZvnw5x44do1y5cte91jAMTpw4QVRUFOXKlSNfvnzZjnU4HBw7dozY2FhKlSpFUFBQtmOv\nXr3K6dOnMQyD4ODg647NSkpKCkePHiUhIYHSpUsTGBh4w2suXLjA+fPnCQ4OpmDBglZ7cnIyhw4d\nwsPDg4oVK2YKmvn6+l53HUeOHCEpKYmyZcsSEBCQ7dirV69y9uxZKleujJeXl1vf5cuXOX36NP7+\n/pQvXx67/fqbLhMSEjh06BD+/v6UK1cOm829koOHh8cdDf6lpqZy6NAhHA4HlSpVclu/a+3Fixen\nSJEid+R+165ds7aplytXDj8/v+uOj42N5ejRo+TLl48yZcpk+jzkf6MtwCIiIiIiIiJ3gYtXknA4\nsu5buXIlZ8+e5cknn8TPz48+ffpgGAZTp07NcnyjRo148MEH2bx5MzVr1qRcuXLUrVuXoKAgXnjh\nBWJjY93GOxwOvvjiC4KDg6lYsSJ169alUKFCPPbYY5w6dcpt7OrVq2nSpAlBQUHUrl2bOnXqULBg\nQZo3b87u3btv+D6Tk5P54IMPKFasGFWqVKFOnToEBQXx6KOPcvjwYbexI0aMIDAwkO3bt/PEE09Q\nrFgx6tatS+HChXnxxRdJSUlh7ty5lCxZkho1alC1alXKly/P5s2b3eYpWbIk1atXd2tLTExk+PDh\nFC5cmKpVq1K7dm2CgoJ4/vnniYyMtMY98sgjVK5cmeXLlxMcHEzNmjUpXbo0MTHmuW3h4eG0bt2a\nQoUKUbduXSpVqkSJEiUYP348jmy+oVOmTKFYsWLUrl2bChUqULFiRZYsWeI25j//+Q+BgYGMGDHC\nauvduzeBgYEcPHiQjPr06UNgYCD79u1ze9/du3dn6dKllClThmrVqlGjRg1KlizJ8uXLiYmJoXfv\n3hQuXJi6detStGhRevToQUJCwnW+g9d35coVevXqRWBgILVr16ZGjRrkz5+f7t27u50FefToUQID\nAxk2bBjvv/8+hQoVok6dOpQrV44aNWqwYcOGm7pfQoqd+GQ7vn5J+Pol8a/up6xH3VLXqFvqGkke\ndpI87Ez8PpGJ3yfyr+UG/1pu0LnrS3Tu+hIpyetISV7Hsp+GsuynoSSknCIh5RQrV3mycpUnKUlf\nWg+7LS92W17MysARYHiA4YGBK3MvFAjli8lN+GJyE8zMv8LERh0jNuoYqQ7DethtNuw2G4aB82G4\nPTIyDDPb0WYzsNmMdNfd+HNSBqCIiIiIiIhIDvpldzT9Rh4iNj4Vm83gk9fL80y7wm5jvvrqKwCe\nf/55AJ599lneeecdvvrqK0aMGIGPj4/b+JiYGE6cOEH79u2pX78+n376KXFxcUydOtXKJJw4caI1\n/p133mHs2LGULVuWcePGUbx4cZYvX87s2bNp3bo14eHh+Pv7s27dOjp06EBgYCD/93//R+XKlYmJ\niWHBggWsXbuWTp06ceTIETw9sw43OBwOunfvzuLFi6levTrvv/8+gYGBrFq1im+//ZYmTZqwZcsW\nKlc2izUkJCQQFRVF165d8fb2ZtSoUdjtdiZNmsSMGTO4fPkyy5cvp0+fPtSqVYt169axdOlSunXr\nxvHjx60st6ioKLeMMsMw6NmzJ4sXL6Z27dp8/PHHBAQEMGfOHGbNmsXx48dZt24ddrud2NhYzp8/\nT58+fShWrBglSpTAy8uLgIAANm/eTNu2bUlKSmLAgAE0b96c8+fP8+WXX/Lmm29y+PBht88ZYP/+\n/QwYMIC+ffvSoUMHDh48yNixY+nSpQtLly61tnUnJycTFRXlFoy7du0aUVFRWQYW4+LiMvVFRUWx\nadMmFi1aRJcuXWjWrBl79+7lq6++okePHtSvX5+TJ08ycuRIPDw8mDx5MvPnz7e+N7ejV69erFix\ngpdeeolWrVrhcDiYP38+CxYs4PTp02zcuBGbzYbD4SAqKoqpU6cSGRnJ0KFDadGiBTt27OCjjz6i\nffv2/PzzzzRu3Pi21iEZGHJXCgsLMzp06JDTyxARuaHjx48bZcqUyelliFNkZKSRP3/+nF6GpKN/\nbt1d8ubNa8TExOT0MkRELFt+izLyt9hoUHeD9cj7wEZj4aqL1piLFy8aXl5eRokSJYyUlBSrvVOn\nTgZgzJkzJ9O8VapUMQCjX79+hsPhsNoPHTpk2Gw2IygoyGo7ePCgYbPZjODgYCMiIsJtnv79+xuA\nMWnSJMMwDKNNmzYGYKxZs8ZtXGpqqlGnTh0DMMLDw612f39/o2jRotbrBQsWGIDRoEEDIzY21m2O\nzz77zACMdu3aWW1Dhw41AKN8+fJGVFSU1b5y5UpXwpXx7bffWu0Oh8N44IEHDMDYvn272zpKlixp\nvQ4LCzMAo2HDhkZcXJzb+2jdurUBGGFhYYZhGEbz5s0NwOjYsaORlJRkGIZhJCUlGQ6Hw6hevboB\nGPPnz3d7L5cuXTLKlStnAMZ///tfwzAMIz4+3lrzhx9+6DZ+48aNhs1mMypUqGCkpqYahmEYixcv\nNgBj6NCh1rgnn3zSAIz9+/cbGXXt2tUAjD179ri9b8AYMWKE29gnnnjCAIzSpUsbV69etdp37Nhh\nAEbTpk0zzX8zLl68aABGmzZt3NpTU1ONxo0bGz4+PsaxY8cMwzB/Fl2fx+zZs93GL1u2zACMFi1a\n3PCeCfE/G3HXfjJio5casdFLDcNYaD2iY0KN6JhQY8isXcaQWbuMJz89Yjz56RGj4XDzMXP1z8bM\n1T8bhjHf+Qh3PlYbhrHaGDmyjjFyZB0Dvkn3MDI8lhuw3PC09zQ87T0NKGxAYSM0dJARGjrIMIyt\nhmFsNSKj5hmRUfOM6Oj5mR5RUeYjMnKeERk5z4iOXmBERy+w2qOiFhhRUQus/sjI+UZk5HwjKup7\nIyrqeyM+PjybTyeNtgCLiIiIiIiI5JCXRh4kKjbVrS02PpU3/3WUpGRzX993331HcnIyzz33nNuZ\ncH379gVg8uTJ2c7/5ptvumW+VaxYkbJly3LlyhVSUlIAWLhwIYZhMHjwYAoVKuR2/dChQ/nss89o\n2tQsgvDRRx8xZ84cWrVq5TbObrdTt25dwMw6y863334LwKhRo/D393fre+211yhVqhSrVq3i3Llz\nbn3PP/+829mFrqywoKAgevbsabXbbDbq1KkDXL/wx/z58wEYNmyY29l0drudMWPG8OWXX1K+fHm3\nawYOHGhlFHp5eREeHs6+ffto3LgxzzzzjNvYggULMnz4cLf3nL7vH//4h1tb8+bNadu2LUeOHGH7\n9u3Zrvt2DRw40O216/NzbSl2uZnP7npcP5979uwhPDzcarfb7axevZq4uDjKli3rdk316tXp3bu3\nW1vHjh2pW7cuGzdu5MyZM7e1FnGnLcAiIiIiIiJCtWrVOHPmjCqO/oUcBniXeR3srTL1GYbBnkPX\nqF/Nn6+//hqAmjVrugWHihUrhp+fHz///DO///47NWrUyDRPxYoVM7W5ilykpKTg6elpBWoaNWqU\naWyFChV44403rNdNmjShSZMmREZGsmfPHo4cOcLBgwfZuXOndWZbdufeAdYZgS1atMjU5+HhQfPm\nzZk3bx67d++mePHi2b4P15bnkiVLZiq24e3tDVy/Mur13nOjRo2ybK9WrdpNvxcwg3rpx6Wf37XG\n9Bo2bMiqVav47bff7ui21wIFCrgVTIG0zy84ONit3cPDA7vdflNVZbMSFBREr169mDNnDvXq1aNi\nxYp06NCBRx99lNatW2dZGKV58+ZZFvxo0KAB4eHh7N69m5IlS97WeiSNAoAiIiIiIiKCh4cHK1as\nyBTkkD9PqsPg35+PZ9SPmfuSkg0ql/Vjx44d7NmzB4Dnnnsu27lCQkKYMGFCpvaMlWqBTMGW6Oho\ngOtWB3aJiIhg4MCBfP/991agz9PTkwYNGlC2bFkOHDhw3etjYmKw2+3ZVtp1ZaNlLFKSVcAMyDKg\ndDPVY2/lPbtkrGLrKgKSXfXi7N5LdvfMnz+/27y3KrugXXafHdz+53c9M2bMoHbt2nz11VccOnTI\nOgcxf/78/OMf/+Ddd991u0eBAgWynMf1M3Kjz8PALJhhs5k/j7HRaaGugIBEAD7p/gcAHyw1A8mV\nU8z7P9PMLEqS7DxmMS7B/G8tf2B9AGrW6Oqc6VNrzqBCcwG4cukxABo0XA/A9l9LA9CjRzEA3n5r\nGQCdOz8NgLe3+VmnJKWt3WF9z9y/d67/toxs+tPYneOy6U5HAUARERERERHBZrMREBCQbTBD/hxV\nHxiI/+qDXItPy5rz9bbz+rPBBOTxsIp/PPfcc1lmhUVGRvLee+8xa9YsRo8eTd68eW95Da6tuBkD\nVZAWgLDZbBiGwZNPPsmWLVto3749ffr0oXbt2lSuXBkfHx+effbZGwYA8+bNy+XLl4mNjc1yra7q\nu65g2J8l/XvOGIw0g0k3DoK51p/dlmfXe8kY8Mvqc04/PruAWMY1ZpSYmHjD6/4K3t7eDB06lLff\nfptDhw6xZs0ali1bxrJlyxg+fDhlypTh2WeftcZfu3Yty3muXr0KmFmF8r9TAFBEREREREQkh/Tq\nWAQPD/jHZ8dwGJCcYjC4d0n++WIp4uLimDNnDna7nU8//ZRixYplOUdoaCi7du1i7ty59O/f/5bX\nUL16dUJDQ9m5cycPPvigW9/x48epVasW3bt354033mDLli1UqFCBZcuWZdoufvz4ceD6W29r1qzJ\niRMn2LJlC+3atXPrczgcbNmyBci83fZOq169Ort372bnzp089thjbn2rV6/mmWee4Y033rhuJdxa\ntWoBWGvO6JdffgGgatWqbu27d+/OMsi4detWIO0cvqy4MvayCpodPXo02+v+KseOHeM///kPtWrV\n4uGHH6Zy5cpUrlyZV155hZCQEF555RVWrVrlFgDcsWNHpnkMw2Dbtm1uZzpmz4Fhc2AYzrM0032u\n0THmz6h/XrPvnccPA5CQbI7xcg6NiTefCxQwt0THxR0D4LXBXzpnumjN+e1M8zzMV181t8ZXrdLB\n2TMMgAkTzP4iRboDMH9+GADdu5vVna/En7DmsltLdX3hcHttGK7Xhtso1xdp/dlvu7fudcMRIiIi\nIiIiIvKn6d6+CAeWNGLRuGocWNKQd18sBcDixYuJjo6mffv22Qb/AF588UXALAZyO2e3Pf20uUVx\n4sSJmbLTQkJCuHbtGjVq1CAhwdwn6evrm2nr6Lp169i0aRMAycnJ2d7LVbBjxIgRmTLWpk2bxokT\nJ2jRosWffuabq2jHuHHjrGIoYAaeQkJCiIyMvGHgqV69elStWpXNmzfz008/ufVFR0fzySefuN3L\n5fTp08yePdutbd26daxbt47q1atTr169bO/p+jlYv369W/vKlSvZv3//ddf7Vzh16hSDBg1i+PDh\npKa6F7dx/cxkLDTzyy+/sHr1are2RYsWsX//ftq3b0/hwoWt9pMnT3L8+HGSkpKQW6MMQBERERER\nEZEclsfXTpOa7ltFXcU/0mdLZaV379689dZb7Nq1i23bttGkSZNbunedOnUYNGgQEyZMoFmzZgwe\nPJiCBQsSFhbGlClTqFq1KgMGDMDT05NSpUrx+++/M2DAALp3705qaiorV65kwoQJFC5cmIiIiOtW\nkO3Zsyffffcdy5cvp3nz5vz973+nQIEChIWFMXXqVAICApg4ceItrf92PPXUU3Tq1Ikff/yRtm3b\n0r9/f3x8fJg3bx6hoaG0adOGTp06XXcOu93OlClTaNeuHV27dmXw4MG0aNGCs2fPMn78eA4ePMhz\nzz1H+/bt3a7Lmzcv/fr1Y//+/TRr1oxdu3bxySef4O3tTUhIyHW3H3fr1o3JkyczbNgwLly4QLVq\n1di5cyfTpk2jYsWKHD58+I58PrfrwQcfpEWLFmzcuJEOHTrQt29f8ufPz2+//cYnn3yCn58fAwYM\ncLvGZrPx5JNP8s4771CnTh22bNnCuHHjCAgIYPz48W5j69evz+XLl9m1a5dVdRoMMBy4suQMUt3m\nBoiJNcNfvl5mcDrAeTRmTKIZlPTzc52VaW7r7t3dzO47c9m8zp4nrVhKwQKVAGjWwtySf+iwK/Bq\nnh9YuHBZAPr16wjAu8NmAdC9+yMA5PFJC57HJZiZezYPZxDacIbpDPczAG0213tz/mxYiYLOdp0B\nKCIiIiL3qz+OxzPok8NciU6menl/ZoysnNNLEhG5aceOHWPt2rX4+/vz1FNPXXdsgQIF6NKlC3Pn\nzmXy5Mm3HAAE+PzzzylRogSffPIJ/fr1s9qfeOIJQkJCyJMnDwBLly6lZ8+eTJ06lalTpwJQpkwZ\nJk6cSLFixXj88cdZvXo1vXr1yvI+drud0NBQhg8fzuTJk63sRYA2bdrw73//O8tqxneazWZjwYIF\nvPvuu4SEhFgVjD09PXnppZf4/PPPsyyQkdFDDz3E2rVrGTx4MGPHjmXs2LEAFCxYkI8++oihQ4dm\nCui1bt2aRo0aMWrUKMaMGQNAlSpVmDp1aqYt2Bm1atWKCRMmMHz4cP71r38BZrGMMWPGEBsbe90t\ny38Fm83GkiVLGDBgAKGhoaxZs8bqq1+/Pl9++SWVKlVyu6Zdu3ZUqlSJESNGWMUvmjRpQkhIiIoS\n3UE243ZrO8ufasWKFYwfP56wsLCcXoqIyHWdOHGChx9+2DrzRXJWVFQUZcqUsQ6RlpznOjRd/lr7\njsbxwPPhRMembesKLuJN5OZ2nDt37rYOyRfJ7WrVqsXcuXOpWbNmTi9FclBSUhIHDhwgLi6OChUq\nuG2/dDEMg8OHDxMREUHhwoWpWLHibVWOTUhIYP/+/SQmJmZ7r79CXFwcBw4cICUlhSpVqtx2AZLT\np09z6tQpAgICqFq1Kp6e18+5ioyM5MCBAwQGBlKlSpVb+gwTExPZt28fqamp1KhRI1OF4rtBVFQU\nR44cISkpiVKlSmXa1n348GEqVarEY489xk8//URERASHDx+mRIkSlClT5qbvEx+/jtTUSAzD9Xd+\nun93GTa3NsOZMedqdzjMbMHAQDPQOHGCmX068LXpALw4YSUA80e9YU3ZbdBgAI7tMwvenFw3CYCj\n5+Y7R5jnDkbHmFvmCwaZwfD33+sBwHvvv2nNdfVKuLkc12GADjMT0ebMYjSsrEaTzf3t4Mrr8/Wt\nQp489bkeZQCKiIiISK5iGPD4a3vdgn8Apy8m4ZF440OyRUTuZ97e3tSuXfu6Y2w2G5UqVcqUyXWr\nfH19r3ve3V8lT5481K9//eDJzQgODiY4OPjGA50CAwNp2rTpbd3Lx8fnrvjsrid//vy39LkWLlw4\nx4LA9wMFAEVERET+ZDc6Q0jurKvRKUQm9AWKZ+pzOAySU5SRKSIiciMpKSm3fKZg2bJl8fX1/ZNW\ndHPcN15k+DvfmfnnKlBSoID5b4U//tgFpGX+TZtpbqUu2bgcAF8P+t2a4vB5M0jpWawAAMfOfwbA\nhGX+ADzfOgqAfAHmuC8m/A2AV1+ZAMADzdOOJGnbpjUAV68cASDFYRbGsdtdFbZd63dmBFoZjeb2\n9FtJvFUAUERERORPNGXKFEqUKJHTy7ivnLuUxNE/fmVMWOYAIICX561vUxMREbnfXLp06ZbP4HMv\nziF3EwUARURERP5EL7/8ck4v4b70QJ9yQIxbm4+XDUPBPxERkZtSsGBBdu3adUvXVKlS5abHlipV\nil27dpEvX74bD74Oh8PA4TDSnbmclvWXlg3oqpZrPvv5+bi1P9rxXQDq1jW3tfd7/mkALkWsAyBd\n4V6qlYoDIN7f9V7Nf1v8/tsFAPwfNTP/kuJPAfDKALOIz5KfNgPQru1wa65ly0cA0PERs2JwauJe\nAGJU9RU6AAAgAElEQVQTzIy/VIenc902t+e09+g6I/DGuxsUABQRERGRXGfLrHo8+EI4vx+NJz4x\nlaB8nvTrXJzP3r5xRUcREREBLy+vPzWbz8fHR9mCfyEFAEVEREQkV/p5Rl1WbL7KifOJ1CjvR/O6\n+fns7ZxelYiIiNxJhuFwPlIz9zkz42zOLD3DYRYD8/U1qwyP+nA8AEePnQfg/IXxbtevWrcfgPQ1\nxD7obWYA2oMiAfh2UB4ACl1bCIAHQwC4FJsEQGE/c9yKn0YB0LbtO9Zcj3YcAcCHH5tnLQ77p5mJ\n6INZYdgr5QwAyYZ5rmJUnFklOO2IQCP903UpACgiIiIiuVaHZgVyegkiIiIiOU4BQBERERERERER\nuUcZzocjyx4AUs2vggoGAXDw0A4A3n/vOwC+nvkWAEWLlHZecBGAqRNXA1C+QrA1Z7Hgos6vzIq9\nDzxQEoDly8IB+PBDM/PP09O85+WLZlXgwkXMDMVvfpxjzdW44ywAhr/7KQAz5p0F4OV/m9mEdkc8\nALXz/gpAixpmRuC1eD/n+3MebXITKYA6BEVERERERERERCQXUwagiIiIiIiIiIjckwwj7eF6bXEW\nzfX0dJ0PmBeAZ58dB0C7No0AeOH5x5z9VwHYvecoAOv/uweAadNfSTepq4KwmVPXq9fDAAwaNA2A\nEyfNa4ODAwGIuhILQGq8WSX46Mn/Z+++46Oq0j+Of2bSQyBAUDAE6UVaqALSRUSwL00QUXFXRf3Z\n0LWhqKCoi8jKiitgAwQWVESKKIgNpapAQCmhE2qAFNIzc35/nJkbhoRmC5Dv+/WavTP3nnvuuXfG\nFR+ec56CqseDnn4ZgB+adwJg8egeADx2eT0AOg63awPW798YgEjXFgCOmghfDzbr0RSR/Xg8ZQCK\niIiIiIiIiIicxxQAFBEREREREREROY9pCrCIiIiIiIiIiJyzjDEY39zfY6fDej32ffly1QEY9eq7\nAGz4dRcAB5LtFFzjTQbA5bbTdkcM/x8AEWF2uu+gQV2dPo9m2gIhYWHhAPTs3RoomAI8efK3AAx9\naiAA+SYFgENHSwMQX2GH01etsu8AcHvrFgDsvvMbAB7r1ROAb4ZGA/Bo+7ftCdXr2D5T9gIQHHL6\neX3KABQRERERERERETmPKQNQRERERERERETOSQaP7+UriGE8zrHyMbbox759ewAY+eIMAN6f/CgA\n4aE2wy4zcx8AGVm7AZg583sAnhzaBwC3q5zTZ0b6IQCyM3IBuKhiHADNm9cAYMbM7wAY+lR/e67v\nvHzfuHK8Bbl4UaHZAFxovgSgRt0LAFiaYDMQB/V/BIDe3f4BwNYdb/uuaTMVk30FRlwcW/mkaMoA\nFBEREREREREROY8pA1BERERERERERM5Jx67/BxAcVBDqCnJFAHDDjUMA+NuNbQC48forATh4cD0A\n5WNiANi21a6tFxoWBEDHDg18PaU7fbrcNpfO41zSBcBN/ToC8Ogjdp3BXUk2m7DCBXatwLRUm+1n\njskAzMqz18nMt+P0pmcAEF06CYB3po4BYO2lgwAY0N9+XrToBdvem+48g1NRBqCIiIiIiIiIiMh5\nTBmAIiIiIiIiIiJyTvNnwfkz9AB277Zr//W76TIA+vfrAkBG+nYAvL6183Jy8gGIibGVekuXsRl5\n+/cd9Pfu9Ok1/irDNvMv32MrCF97TVOgIAPwq0U2u3DgrTYz8Kg3q1Bfxrh9Pdk+3W57LC01B4DI\nqP0A/HvM7QBc2dVm/i3/cQ0ALRrV8d1zRJHP5FjKABQRERERERERETmPKQNQRERERERERETOScb4\n1wG0VXazs/OcY6FhNux13//dAEB6WhoAqUczAXAH2TX4MjLsWnqVLooFoE6tqgD8+PM2AG65Jczp\n0+XPNLQJgBw5YvuqW7caADWr2z4++shWEh54a1egoAqwK2D0vsrFvqRCF742vizGPXsPAND2Mptd\n2KnTJQC89/ZXALQa19zXT8H4TkQZgCIiIiIiIiIiIucxZQCKiIiIiIiIiMg5yV8F2FkD0HVsjp3d\nl5yc7PtkU+2Cgty+zzbjzuT7w2P23A4d7dp6CWv2+fbnOz26/Tl8Xrv1eLzOEYCretjKwR/+b5U9\n7j0KQHCIvYbJLejL4wocc+lgj6+tbXMoIxSAvNzDADz5xI0A7N+bAkB21iF7P8EVCAkp4uEcQxmA\nIiIiIiIiIiIi5zFlAIqIiIiIiIiIyLnJyQD0f/QWHPNl1vlzAl1OBV7j7LEb+zk32665d1V3u7Ze\ncNBqADIyDjtd+isHe/3Zg84Ru47g1Vc1A+Dtd5YAsGb9VgAa1q4CwKGso84ZIeHZAJQPzwVg+xFb\nhfjoIVvVt1J0BgB79x0BoFlTuzahaXYxAMnJNhMwKiqLsuU4KWUAioiIiIiIlEC5eYZ1iRnk5plT\nNxYRkXOaMgBFRERERERKmElzD/DE61txB7nwegwv3V+juIckIvKbuPDiNl5nfT/cx/ylhtd1XGP7\n2b/2H17/WoB2zb3kZFtBuFm8zbBr1cpujySnO10EuW0fQb6+vG7bV3qqzdZr3rQWABUuLAPAprV2\nHcFmjWxfkaUynL72pZQFYOrSmgCs2V8BgFCvvYfHr7KVhMtF5thxpNlMQJex1YuDg+3Cf/5qxiej\nAKCIiIiIiEgJMnneAQa/sInM7IJpcneP2ET59PyTnCUiIucyBQBFRERERKRYZGVl4XZrVaK/Ur7H\n8OS/twQE/wAyc7zkHcoj36PpwCJybjEEgTsYr9eup+cyx5TDdfky/Jyl/7y+z3a/y+X1nWOr7QYF\n24Y5OTm+rW3nDgov6NL3f59eV47vcxgAmZk2ezCytA21TX3/AQCiK9j1/A4dtpl/kUEFobj8fHvu\nip12fUDjO5TrywBMPBwDwOXRuwE4mhfmG7/9Cxu3O9h3H6f+d6kCgCIiIiIiUiwqV65MRkYGLpfr\n1I3lD2EMXH/9dcw8eF+Rx3fuzaFJ/F88KBER+dMpACgiIiIiIsWiVKlSrF27lri4uOIeSonh9ULN\na1cA2YWOuVxQNTbsrx+UiMjvEB5eE683E2NyfXuOzYbzrfnnJDcfn+VsfK1cAUddrsAqweaY0/yH\njMu3jqDxX8+mBoaG2s9xVWzGX3ipEN84bZZhsDvP6atCuUgArmkWHTB0/zWqXljXvgmrBECUyx/G\n82UuumzfYaGVOBUFAEVEREREREoItxtee6QGtwzdxNHMgjX/SkcGUa5CqLO4vYjIuSIiou5fej2v\n1x98cwVsj1f9NGorVfTNLL6pwolaxAR8KhN+gmanQQtuiIiIiIiIlCA3dK7A5BF1qRYbRtXYMKrF\nhjN5RD3KlDp1FUkRETk3KQNQRERERESkhLmhcwzXdizP9qQcqlUOI8jtYmhxD0pERP40CgCKiIiI\niIiUQEFuFzWr/I75ZCIics5QAFBEREREREREROQEzDFVQNxuu5re0aNHAXj88ccBWLp0KQBBQXY5\nhUcffRSA3r17/2XjPBmtASgiIiIiIiIiInIeUwagiIiIiIiIiIjICRRV6ffnn38G4I033gDg7rvv\nBuDAgQMA9OnTB4BXX30VgIcffvhPH+fJKANQRERERERERETkPKYMQBERERERERERkTOQmZkJQNWq\nVQF47bXXAAgPt8WVOnToAMCkSZMAZQCKiIiIiIiIiIjIn0gZgCIiIiIiIiIiImcgOjoagOTkZAD+\n+c9/ApCSkgLAypUrAZg5c2YxjK4wZQCKiIiIiIiIiIicx5QBKCIiIiIiIiIicgaCgoIAyM3NBWD5\n8uUA7NixA4Ds7GwAypUrF3CeMaZQX0VVGf6jKQNQRERERERERETkPKYMQBERERERERERkTOQmpoK\nQKVKlQBYvHgxAKVKlQLg9ttvB6B9+/YA5OTkABASEvKXjtNPGYAiIiIiIiIiIiLnMWUAioiIiIiI\niIiInAnfWn5erxcovI5fRkaGr1nhNf+KgzIARUREREREREREzmMKAIqIiIiIiIiIiJzHNAVYRERE\nRERERETk+Nm6vlm9x07j9U/1LRUVBUBSUhIAl17aCoA9e/cAcOTwYQA+mvkxUHTxj3yTD0CQK8h3\nOVehNn8UZQCKiIiIiIiIiIicx5QBKCIiIiIiIiIi4mf8G9+bIhLzmjRpAsCnc+cAcHD/AQBKly4D\nQPce3QGIKlXqhJcJdhUdlvNnHPq3bvfvz99TBqCIiIiIiIiIiMh5TBmAIiIiIiIiIiIix/Gv91eU\niIhwAK664nIAflqxAoD87EwAvpszC4C9SbsBCA4OBcAbHOT00fjS5gDUb9wMgPCwyIDrnuz6Z0oZ\ngCIiIiIiIiIiIucxZQCKiIiIiIiIiEgJ5l/rz5dxd1zi3ez/TXXej399NABrN2wH4EhWNgCesnbt\nP1eZsnbrtlV/o8tdaNsd3A9AeF6O05fnaCoAkXm5ADSqdTEAt919NwA3D7LbQul7x1crLmLMx1MA\nUEREREREROQstXz5cg4ePAhA06ZNqVy58gnb5uXl8fnnnwNQsWJFWrZsCcC+fftYtWoVNWrUoH79\n+n/+oM9S3333HampqXTr1o2QkJDiHs55bdOmTWzatIkmTZoQFxdX3MMRFAAUEREREREROWsNGzbM\nCeo98MADjBkz5oRtFy9ezLXXXgvA9ddfzyeffALAsmXLuPHGGxkyZAijRo368wd9lnrooYf48ccf\nOXLkCGXLli3u4Zw31q9fz9ixY/nvf//r7Js6dSrPPfcckydPZsCAAcU4uuPZ1Dkv3oC9boICPs+b\nNg2AB24bBMCW3GznWOzVfQGo968nAKhTrw0ANarF2gbl7CbXY7ehdqlAPL7EvzBPwXWSth0CIHHl\nMgDWfvYxAAPufdRe/x+DAbjrXpsJOOy1122fvyGArTUARURERERERM4BH374IV6v94TH//e//xW5\nPyoqirp163LBBRf8WUOTEqxJkyZ8/fXXAfsqVKhA3bp1KVOmTPEMSgpRBqCIiIiIiIjIWa5x48as\nXbuWpUuX0rZt20LHc3Jy+Pjjj6lSpQq7du0KOHbFFVewYcOGv2qoUsLk5+cX2nffffdx3333FcNo\nTsW/UJ7b97+BC+c9eLfN+Pv3W+8CEDPgXgB6D/2306ZKTZstmOaLxWcdtdtf7XJ+5O0LvGK+r507\nMMkQgIgLYwCoPPBqAOr+3W7T970NwOfjxgHw4nA7jrfesFmWc7/+CoDWHTud4D4LUwBQRERERERE\n5CzXp08f1q5dy4wZM4oMAH7++eekpqZy55138q9//SvgWGZmJgcOHKBMmTKUL18+4Fh+fj7Lly9n\ny5YthIeH07p1ay6++OKA47t376ZMmTJERUUxb948XC4XXbt2pVSpUk67/fv388MPP5CamkrlypVp\n164dERERJ7yfX375hdWrV+P1emnQoAFNmjTB5SvAsHv3bvLz86lcuXKRa/Xt27eP7Oxs4uLiCA4u\nCGts2bKFVatWkZubS506dWjZsiVu94knPvrvLTw8nEqVKgUc83g87Nq1q8hjO3bsYMWKFWRlZREb\nG0ubNm0CnsXvkZiYyJo1a0hPT6d06dI0bdqUGjVqFNk2NzeXJUuWsGvXLuLi4ujYsSN5eXns37+f\nmJgYSpcuDcDevXvJycmhSpUqBAUFRqFOdmznzp389NNPpKSkEBkZSePGjalXr55z/OjRoyQnJwN2\n/cnt27cTERFBxYoVSUlJISUlhQoVKhAVFRXQb2ZmJt9//z1JSUmUK1eOdu3aERMT4xzPyMjg4MGD\nREdHU65cuULnFvVbNsaQkJBAQkICxhhq1qxJy5YtA34fJZ6Rs9KCBQtMt27dinsYIiKntH37dlO1\natXiHob4pKSkmOjo6OIehshZKyoqyqSnpxf3MMQnLi7O7Nq1q7iHIT4NGzY0CQkJxT2MEmv/oVyz\neMURs2tfdsD+bt26GcB899135sILLzSxsbHG4/EUOr9fv36mbNmyZtGiRQYw119/vXNs1qxZBjBD\nhgwJOOfzzz83VatWNdiF0QxgXC6Xueuuu0xubq4xxpht27YZwNx///2mXbt2TruePXsaY4zJysoy\ngwcPNkFBQQH9lCtXzrzzzjuFxrl161bToUOHgLaAadeunUlKSjLGGNO3b18DmBkzZhQ6Pzs725Qv\nX95UqVLF5OfnG2OM2bdvn7n66qsL9dmkSROzefNm59zmzZsbwBw5csQYY8yuXbsMYDp27FjoOnv3\n7i10LDs729x8882FrhMVFWXGjRtXqI8zsWnTpoDne+yrZ8+eJjMzM6D9d999V+i7u+SSS8y4ceMM\nYCZMmOC0bdWqlQHMwYMHC123bdu2BjB79+519iUlJZmrrrqqyLF06dLFHD582BhjzOTJkwsdv/rq\nq40xxgwbNswAZvLkyQHXmzBhgilXrlzAOWFhYWbUqFFOm5kzZxrAPPbYY4XGW9RvOSkpybRp06bQ\nWOLi4syXX34ZcL7X9zresMeHmGGPD3HObTjtR9Nw2o+mQ66xr7UFr0t/sq9mP+WZZj/lmbqLc03d\nxbnm4i9yzMVf5JgaX2SYGl9kmJoLs03NhdmmxsIsU2Nhlqm1KNPUWpRpan+Z7bxqLs4yNRdnmfqL\nPKb+Io+pNT/D1JqfYZquyjRNV2WannnG9Mwz5oZk+yp11QBT6qoBzjjX/LTCeZ2K1gAUERERERER\nKUYTPt5L834/0f+JDTTv9zNPvL6tUJvg4GB69erFnj17+OGHHwKOZWRkMHv2bHr27ElYWNhpXXPl\nypVcc801HDhwgFdffZV169bx7bffctlll/HWW28xbNiwgPZTpkxhzZo1DB48mH79+tG3b1+MMfTr\n148333yTNm3asGDBAhISEpg4cSIhISEMGjSId9991+kjPT2dLl268O2333LnnXeycuVKVq9ezV13\n3cWSJUu48cYb8Xq93H777QBMnjy50Ljnz5/P4cOHGThwIEFBQeTl5dG9e3fmzZtH3759+eGHH0hI\nSODxxx9n9erVdO/enZycnNN6JqcycuRIPvjgAwYOHMiKFSvYsGEDU6dOJTw8nHvuuYcff/zxN/Wb\nm5tLjx49WLJkCU899RQrV65k3bp1TJ8+nZo1a/LRRx/xn//8x2m/detWunfvzr59+3jzzTdJSkpi\nyZIlREREMGTIkN91j8YY/va3v7FgwQLuu+8+li5dyvr16/nkk0+Ij4/nyy+/ZMSIEQB07NiRWbNm\nARAbG8usWbN46qmnTtj3lClT+Mc//kFYWBjvv/8+v/76K3PnziUuLo5HHnmEab7CG2fqjjvuYOnS\npQwfPpw1a9awfv16/vWvf7F371569epFenr6b+r3fKNcSBEREREREZFi8ubMvTz86haycwqKe4ye\nshsDvHR/9YC2ffv2Zdy4ccycOZN27do5++fNm0dmZib9+vU77es+88wz5OXlMXXqVHr16hXQV/Xq\n1Xn99dd55plnnP2HDx/mm2++oUOHDs6+L7/8kk8++YQmTZqwcOFCwsNtudOGDRvSqlUrmjVrxpAh\nQ+jbty+RkZGMHz+ebdu2cddddwVUjH3zzTfZsmULixYt4rvvvuOKK64gLi6Ozz77jOTkZCpUqOC0\nff/99wG49dZbAVv45Oeff+b6669n2rRpzjTikSNHsnv3bqZMmcKnn35K7969T/vZnIi/GvNbb73l\n3GvdunXJzc3llVdeYcOGDTRv3vyM+50/fz6JiYncfPPNTnANoEGDBpQvX54rr7wyIOj70ksvcfTo\nUcaOHcvdd9vqsLGxsSxcuJBLLrmErKys33yPK1asYPny5XTp0oWxY8c6++vXr0+NGjVo3Lgx33//\nPQBVqlShSpUqAJQuXZobbrjhhP16PB4ef/xxgoKCWLhwIQ0bNgSgXr16VK1alUaNGjFq1Kgz+g37\n+/3iiy9o3LgxQ4cODRjvnj17+Prrr9m8eTPNmjUDwOWxVYAJsr+TjVt+AeC1l14FoOLoBQCEt7ft\nk7616xuGBxWEzzK9uQBsW7/F7jhs+3KF276Nf9qx2zctPMRXBti/3KC3oKIwHt8Cgl7fuLzRAEQc\ntsVT9toZ1lTwzYRu+p4Nii/pYhccHDPsSaerdz5dGPBsjDHOPw+gAKCIiIiIiIgAXq+XPXv2OOuG\nyZ/P4zU89+Y2snMC117LzTNM+HgfTwyqErC/bdu2XHTRRcycOZPXXnvNWd9u+vTpVKpUiU6dOrF0\n6dJTXjczM5OFCxcSGxtLz549A45FR0czb948oqKiAtbfu+iii2jfvn1AW3/214MPPugExPwaNmzI\nNddcw6xZs/jmm2/o3r07s2fPBuD+++8PaOtyufjPf/7DkSNHaNiwIUFBQQwcOJAXX3yRGTNmcM89\n9wCQnJzMvHnzaNu2LbVr1wbgk08+cfo8NtgBMHz4cO6++24n2PR7+asoDxkyhCFDhjhr8916661O\nQPK3uO6669i5c2eR2ZsVK1YEIDu7IGg0Z84cgoODue222wLali9fnttuu41XXnnlN4/l0ksvJSkp\nqchj/rFkZGSccb8//fQTSUlJXHnllYW+j4YNG7Jw4UKqVq16xv263W4qVKjAunXrGDNmDAMGDHAC\nxqNHjz7j/s5nCgCKiIiIiIgIERER3H777UUWXZA/h8draN/qUj488n+FjkWEu9iyKztgX1BQEL17\n9+b111/n+++/p3379qSlpTF//nzuuuuuQkUcTmTbtm14PB4aNGhQKGgG0KZNm0L7atWqVajtxo0b\nAWjSpEmR12natCmzZs1i48aNdO/enV9//ZWgoKCAQhJ+devWDfh822238eKLLzJlyhQnADh9+nTy\n8/MDgm3+MRQV5KtWrRrVqlUrcmy/xVNPPcWiRYsYN24c48aNo3bt2lx11VVcd911dO7c+bSf//Hc\nbjdVqlRhz549TJs2jU2bNrFlyxbWrVvH2rVrAZvNBXYa9b59+6hRo0ah4hpgn/nv4XK5iI2NJTk5\nmQ8//JANGzawZcsWp2jLsWM5E5s2bQKK/p7AVqr+reMdPnw4d911Fw899BAPP/wwzZs3p3v37txw\nww00bdo04HdrfG/9e2a9MwGAtAvtb7h8224AbP/JHg/Jt0H21GNqvGTM81XUXr0KAHd1G7j0umyA\n2JXjq8Kd6dvmHPRd1PZlwi4s6KyMPdftspl/IWVDAciPtH3tS7HPel+YxzZ3+cJ4ra+yQ1j0/Emf\nz7EUABQRERERERFWrVpV3EMokRr3+REonFEVEuQmvm7hyrJ9+/bl9ddfZ+bMmbRv357Zs2eTk5Nz\nRlMn/VNET1al93ihoaEn7CcyMrLIc/z95+bmOu3DwsJOWpnXr3bt2rRr144lS5aQmJhIrVq1mDRp\nEuHh4fTp0+d33cvpKCrI1apVK9auXcu4ceP45JNP2Lx5M5s3b2bs2LHUqlWL2bNnU79+/TO+ltfr\n5Z///CdjxozB47GBnooVK9KsWTO6du0akNHnf5YnWuvxTDN4i7rPkSNH8uyzzzrXiomJoUmTJjzx\nxBM899xzZ9S/n/97Oj5T9EwVNd4777yTBg0aMH78eObNm8eqVatYtWoVw4cPp3Pnznz88ceULVv2\nd133fKAAoIiIiIiIiEgxmTbyEtoPWsORtDxnX+nIICY8U4cgd+HsvNatW1OlShU+/PBDxowZw7Rp\n06hWrRqtWrU67Wv6gyGHDx8u8vi+ffsIDg4mJibmpP2UK2cXJktOTnam5B7rwIEDgJ2a6r9uUlIS\nWVlZhQJ26enppKamEhsb6wQIBw0axJIlS/jggw/o06cPK1eupH///kRHRxd5L8cHv7Kysjhw4ABx\ncXEnzc4rKqiUmZlZZNtatWoxevRoXn31VbZu3coXX3zB+PHjWb16NXfeeSdLliw54XVOZMKECbz6\n6qvUrVuXUaNG0bZtW+fZrlu3LiAAGB0dTXBwMMnJyYXWeAM4cuTIGd3n8esFzp49myeffJLKlSsz\nZswYOnbs6Ex9Tk5O/s0BwFP95nbu3EnZsmUpU6bMGY3Xr23btrRt2xaPx8OaNWtYsGABb775Jl99\n9RUjRoxg1KhRAHh9/0z5fw1rvvZNma/XFYBdqb5r77eBWG+obek6WBCkd/203m6xY3WvtemCwVtn\nAJCbucMezzviu1Z+wFjzKfgtusJtNmBIdAMA8qraDERv9N9tn+V8gctUG4wN9ofxgmwAuFRE+SKf\nR1FUBVhERERERESkmDSoGcn378bTokFpqsWGUa96JB+9Wp8rWhWdseR2u+nTpw979+5l/vz5LFy4\nkJtuuqnIqbwnUr16daKjo/n555+LDHTdc889XHDBBafMCm3RogVgi4EczxjD4sWLAYiPjwcKpqcW\ntU7h5MmTqVKlCi+//LKzr3fv3pQqVYqPPvqIDz/8EKDQunf+Pv2FKY712WefUa1aNR5++OEix+8P\nChZVJXb9+vUBn7Oysnj44Yd56KGHADv1tGbNmgwePJjvvvuOkJAQZ4rsmfKvpTh69GiuueYaJ/gH\nNgAINksQbDXoli1bcvDgwUJjBApViAacaf3H32dubi6JiYlFjuX555+nV69eTvCvqLGciWO/p+MD\ne8YYunbtSvny5UlPTz/heAF+/fXXgM+JiYkMHjzYqZIcFBREs2bNePLJJ5kxwwbkfuv3cr5RAFBE\nRERERESkGF1SI5KVU5qy/qOW/PpxC7q2LnfS9v4psPfddx/5+flnXDk1KCiIW265hYyMDIYNGxYQ\nkPn555+ZO3cuNWvWPGVF21tuuYWQkBBGjRrFL7/8EnBs/Pjx/PjjjzRq1Mjp5/bbbwdg6NChAZlc\naWlp/Pvf/8btdgdUJI6KiqJ3794kJCTw/vvvU7lyZS6//PKA6/gDgiNGjCAlJcXZn52d7WTO3XTT\nTUWO/4ILLqBUqVIkJCSwYcMGZ39qairDhw8PaBseHs7cuXP597//XSiAuW3bNvLy8orMgjwd/sfv\nY10AACAASURBVOnV/oxJv/379/Pss8869+M3ePBgAB544IGA/atXr+a9994r1H/NmjUBmDZtmrPP\nGMMLL7xQKMh2orGkpaXx+OOPA5CXlxdwLDg4mJSUFGf6clFq1qxJu3btSEhIYPLkyQHHZsyYwaZN\nm7j66qspXbq0M9558+aRlpbmtEtMTAyoHg12yvPEiRMZPnw4+/btCzjmDxb6+yvpNAVYRERERERE\n5CwQGX56OTotW7akevXqbNu2jfr169OoUaMzvtbzzz/P4sWLGTVqFCtXrqRz587s37+fSZMmATaA\nd6q1+mrUqMGYMWO49957admyJTfffDNxcXEsW7aMzz77jPLlyzN58mSnnxtvvJGBAwcyadIkGjdu\n7AT7pk+fzvbt23nuuecKBdFuv/123nvvPbZs2cITTzxRaCpv27Ztefjhhxk9ejSNGjXipptuIiws\njI8//phff/2VwYMHF1nUBGzgatCgQYwdO5Y2bdrwt7/9DZfLxZw5c7jooosC1o1zuVy89NJL9OzZ\nk8svv5ybbrqJmjVrsm/fPqZOnYrb7WbEiBFn9iX43HrrrcyZM4f77ruP9evXU7VqVRITE52syODg\nYPbu3eu0HzBgAJ999hnTpk2jadOm9OrVi0OHDvH+++8THFw4zHPHHXcwadIkhg4dyrJly6hWrRpL\nly5l3bp1tGnTJiCgecsttzBx4kSeeeYZkpKSqFu3Ljt37mTKlClERERQtmxZDhw4gNfrdb7XmjVr\nsnHjRurUqUObNm2YMmVKkfc5fvx42rdvz6233srs2bNp0qQJGzZsYPr06VSoUMGp2tugQQNat27N\nsmXLiI+Pp0ePHhw+fJjZs2fTpk0bJ7MU7FqJjz76KCNHjiQ+Pp6+ffty4YUXsnHjRqZPn050dDSP\nPvqo0/74ieB7svbbNzVsQRV/KNwbYjNqw30xTVdwwRqYebfZgHvQDpuB6X3RFqnJ9RwM6NvfV+AE\nYIBjAqXZ9nvN9W1Dg/fY/Z/avvOC7T8P3qadAEiZ4FtDccIYe3rDoqeqQ8EUaic72MhZacGCBaZb\nt27FPQwRkVPavn27qVq1anEPQ3xSUlJMdHR0cQ9D5KwVFRVl0tPTi3sY4hMXF2d27dpV3MMQOasN\nHjzYxMfHmzVr1gTsf+WVV0x8fLwZO3ZswP6ffvrJxMfHmwcffNDZt3jxYhMfH29effXVgLZHjhwx\nDzzwgKlYsaIBTEhIiOnSpYtZtmyZ0yYpKcnEx8ebO++884Rj/OKLL0ynTp1MSEiIAUxMTIwZNGiQ\n2b59e6G2Ho/HjB071lxyySXGFyMxDRs2NO+//77xer2F2nu9XlOtWjUDmA0bNhR5fa/Xa9555x3T\nuHFj43K5DGBq165txo4dazwej9OuX79+Jj4+3qSlpTn7cnJyzNChQ81FF11kABMVFWUGDRpkDh06\nZC6//HJzxx13BFxr7ty5pm3btiY0NNQAJiwszFx++eVm8eLFJ3w+p+Ptt982tWvXdp5J3bp1zciR\nI01WVpYZMGCAiY+PN0lJSU77/Px8869//ctcfPHFBjBly5Y1jz76qBkxYoQBzIQJEwL6//TTT02z\nZs2My+UybrfbtG/f3ixbtsz5HR08eNBp+9FHH5mGDRs6Y6levboZOnSoSUtLMw888ICJj483a9eu\nddp/8803pmnTpqZMmTKmRYsWxhhj3nzzTRMfH2/mzp0bMI6tW7ea/v37mzJlyhjAlCpVyvTu3dts\n2bIloN2BAwfMbbfd5rSrVKmSefbZZ83u3bsL/ZY9Ho95/fXXTYMGDYzb7TaAiY6ONn369DEbN248\n6XPv0LSa6dC0mqHnc4aezxn3F8a4vzCG9zyG9zwm/B1jwt8xJuLtXOcVPNGY4InGhD29zoQ9vc6E\nBF1gQoIucJ7Xmbxcx73CKte3rya3mbAmtxl3ixeMu8ULhn98b/jH98b9jx+N+x8/GmhooKFp0bCq\n8zqex+MJ+GfKZcxvqN8sf7rPP/+c1157jQULFhT3UERETmrHjh107NiR7du3F/dQBDtlpWrVqgFT\nYESkQOnSpdm7dy9RUVHFPRQBqlSpwtKlS4mLiyvuoYiUeFlZWYSGhp60WMapeDwecnNzCQ8PP601\nCf1VZouqMOx39OhRKlWqROPGjYtc3+54eXl5eL3eE1bJPZkzqVJsjCErK4vw8PDTan+6cnNzcblc\nzjp4pyM7O5uwsDBcLhejRo3i0UcfZcKECfz973//Xf3/nmd5Kv7nFxERcdLfijGG7Ozs0/5Nnelv\n8KH+VwEwZq+dJtxozBsApPoTLr02ZBaVn+uck1XW9zx83XvnvQtA8pSX7PGkTXb/Ka9eWIXGthhJ\ntSE2G3LD0q8AyNuyBYBgXw5jmYsqALB37hvOud9MHw9Ah649AAoVidEUYBEREREREZES7viqvL9F\nUFDQGfVzssCf33vvvUdGRgZ33XXXafV5JoGz453J2F0uF5GRkb/5WidyOs/keOHh4X9K/7/nWZ7K\n6T4/l8t1Rt/Lmf4GSxIFAEVERERERETkrJGSksIjjzxCZmYmM2fOpGrVqics5HG2WbNmTaFKtSdz\n4YUXFipsIn8i/xxYX2LcxXUa2zfLvgagUYz9eMRX5yTfYxvmuwvy+dzeHN87XybgPba4TfWbbwYg\nZ+NWADK32nX8UjesASA0zxa+8QYVZOXl+TL6ylZpYHtsZCtrRzWoZ8fToSEA4Xt8KwmG2DCe6xL7\nce/Kz5y+vvjYVsr2ZwAenwGpAKCIiIiIiIiInDXKlCnDpEmTyMvLo0KFCsyYMeNPmYb6Z5g2bRov\nv/zyabfv2LGjAoDyl1AAUERERERERETOGm63mw0bNrB//34aN25MqVKlintIp+2ll17ipZdeKrbr\nP/LIIzzyyCPFdv2zX2AKYIvONlsu+KX/ALBv80YAysXXtc2O2I3XFEwrzvMV8XV7bF/BqTY70Oub\nXu1qY7P3gjvbrSu4p71yEUtFunzD8Vfn8Kb7rpFiUxDLp9kDueVt3yG+Psr4ZnJHNa3v9LUu4ecT\n3bQdz0mPioiIiIiIiIj8xWrUqEGNGjWKexgi5w0FAEVEREREREREpMRp37ETAM0qlgZg8fM2e7PW\nO7ayrzvJpuSVcRcULIkMtWl4ntI2O88VZtfxC/VlBnoP2a1v1T68vnrA/hX53N6CtflcvqUFjdvu\nc4fYTsJ94brsYLv/qNdWIc7ItKl/UXaZQY5+W1AZu/Nt3U96r39crWoRERERERERERE56ygDUERE\nRERE/nTJKXnc/3Iiu/blUrdaBP8dWru4hyQiIiWNrzKu8S2656+U++jLowHo3W8AAIkvdLHtO9rP\n7sPbnC5Csdl47ugyAESH2wzAsCi7VmVQabsNtrsJ9mUM+lPw/KsQQkFWoNeXLhjsW3Pw6NEMAA5n\n2wzE3EPZAGSXq277WDnTNtyd4PR1WY//BtyqMSagErACgCIiIiIi8qfafSCH+N4/cTjNLmq+ZHUq\n85ccdhY/FxERkT+XAoAiIiIiIvKn6jY4wQn++e1NziUsJe8EZ4iIiPx5js2MA+h1080ADE9YD8DT\nL95iD/z4NQDemjc4bXPKVgTARNr1+jJzfaV787Ns3+HhAIREhgEQHm0zAt2RtpKw59gL+7ICPek2\nwy8nxaYAejIz7YFgX/Xh6DgAglbNs8ff7gPA/f+4zemqZZvLAu7p+CxHBQBFREREpMTIz8/nlltu\nIThYfwz+q6Rl5LMn+QageqFjefmG9Iz8wieJiIjIH0p/8hERERGREmP06NHExMTgdqsW3l8lLcND\n43WrGLWocADQ6zWULqX/JBERkb+WPzvOz58l16vn3wAYMc5WAc5rUAcA7+7vCs79/kd7jtdm+JmI\nJvZAuSr2c7mLAMgNthV7c7P92e6+rfuYaxvfn0f8CwaG2z7DUu1fjuUdXm2vn7fBnhptMwU92MzA\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fX+S19+/fz4wZM9i6dSuVKlWif//+Jx1rUlISs2bNYuvWrYSFhdGyZUuuueYaQkNDA9rN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\nu+7i008/5emnn7bGdjgctGjRguPHj9O+fXtOnz7NypUrGTh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vZ8uWLdjtdpo1a0a7du3c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\nz8/IyMi0nwI81XUuXLiQ5ubJv8bw8ccfT19fX5Jkz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       "prompt_number": 19,
       "text": [
        "<IPython.core.display.Image at 0x1141ba9d0>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Modelling Evolution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# construct likelihood function with GTR model for our tree\n",
      "model = GTR(with_rate=True, distribution=\"gamma\")\n",
      "tree = LoadTree(tree_file)\n",
      "likelihood_function = model.makeLikelihoodFunction(tree)\n",
      "\n",
      "# supply alignment to lf\n",
      "alignment = LoadSeqs(\"young_genbank_bacteria_16s_seqs_mafft.afa\", format=\"fasta\", moltype=DNA, label_to_name=lambda x: x.split()[0])\n",
      "likelihood_function.setAlignment(alignment)\n",
      "\n",
      "# fit lf\n",
      "likelihood_function.optimise(show_progress = False)\n",
      "\n",
      "# display lf table\n",
      "print likelihood_function"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Likelihood Function Table\n",
        "==============================================\n",
        "   A/C       A/G       A/T       C/G       C/T\n",
        "----------------------------------------------\n",
        "0.6351    1.2664    0.8027    0.7739    2.3953\n",
        "----------------------------------------------\n",
        "==================================================\n",
        "                         edge     parent    length\n",
        "--------------------------------------------------\n",
        "      gi|550432|emb|X81574.1|     edge.3    0.0499\n",
        "gi|507148164|ref|NR_102971.1|     edge.0    0.0131\n",
        "gi|507148166|ref|NR_102973.1|     edge.0    0.0305\n",
        "                       edge.0     edge.1    0.1216\n",
        "  gi|312837079|gb|HQ455822.1|     edge.1    0.0260\n",
        "                       edge.1     edge.2    0.0279\n",
        "gi|444304207|ref|NR_074632.1|     edge.2    0.0519\n",
        "                       edge.2     edge.3    0.0066\n",
        "                       edge.3    edge.17    0.0931\n",
        "gi|343206166|ref|NR_044756.1|    edge.16    0.1770\n",
        "  gi|408683477|gb|JX088110.1|     edge.7    0.1613\n",
        "gi|219846433|ref|NR_026024.1|     edge.6    0.1901\n",
        "     gi|1806270|emb|X85249.1|     edge.5    0.1491\n",
        " gi|313760310|emb|FR733663.1|     edge.4    0.1805\n",
        "  gi|441425471|gb|KC139249.1|     edge.4    0.1376\n",
        "                       edge.4     edge.5    0.2452\n",
        "                       edge.5     edge.6    0.0483\n",
        "                       edge.6     edge.7    0.0393\n",
        "                       edge.7    edge.15    0.0263\n",
        "gi|219878444|ref|NR_025583.1|    edge.11    0.0849\n",
        "   gi|85001975|gb|DQ337549.1|    edge.10    0.0708\n",
        " gi|359805520|dbj|AB681798.1|     edge.8    0.0512\n",
        "gi|343206148|ref|NR_044737.1|     edge.8    0.0490\n",
        "                       edge.8     edge.9    0.0079\n",
        "gi|470467654|ref|NR_074186.1|     edge.9    0.0566\n",
        "                       edge.9    edge.10    0.0156\n",
        "                      edge.10    edge.11    0.0324\n",
        "                      edge.11    edge.14    0.0560\n",
        " gi|388556228|dbj|AB685269.1|    edge.13    0.0904\n",
        " gi|174375|gb|J01859.1|ECORRD    edge.12    0.0996\n",
        "gi|343200212|ref|NR_040899.1|    edge.12    0.1091\n",
        "                      edge.12    edge.13    0.0296\n",
        "                      edge.13    edge.14    0.0486\n",
        "                      edge.14    edge.15    0.0314\n",
        "                      edge.15    edge.16    0.0322\n",
        "                      edge.16    edge.17    0.0277\n",
        "                      edge.17       root    0.0630\n",
        "gi|310974986|ref|NR_036850.1|       root    0.0751\n",
        "gi|219846903|ref|NR_026495.1|       root    0.1226\n",
        "--------------------------------------------------\n",
        "===============\n",
        "motif    mprobs\n",
        "---------------\n",
        "    T    0.1947\n",
        "    C    0.2392\n",
        "    A    0.2391\n",
        "    G    0.3270\n",
        "---------------\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "-c:4: UserWarning: Ignoring tree edge lengths\n"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# get log likeihood and number of free parameters\n",
      "print likelihood_function.getLogLikelihood()\n",
      "print likelihood_function.getNumFreeParams()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "-18294.3102465\n",
        "44\n"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# end time\n",
      "print str(datetime.now())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2013-07-09 12:23:11.919675\n"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    }
   ],
   "metadata": {}
  }
 ]
 }