doc/bad_genes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-07T14:10:56.311592Z",
     "start_time": "2019-08-07T14:10:54.311Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "Attaching package: ‘igraph’\n",
      "\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    decompose, spectrum\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:base’:\n",
      "\n",
      "    union\n",
      "\n",
      "\n",
      "\n",
      "Attaching package: ‘tidygraph’\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:igraph’:\n",
      "\n",
      "    groups\n",
      "\n",
      "\n",
      "The following object is masked from ‘package:stats’:\n",
      "\n",
      "    filter\n",
      "\n",
      "\n",
      "── \u001b[1mAttaching packages\u001b[22m ─────────────────────────────────────── tidyverse 1.3.0 ──\n",
      "\n",
      "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.3.0     \u001b[32m✔\u001b[39m \u001b[34mpurrr  \u001b[39m 0.3.3\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 2.1.3     \u001b[32m✔\u001b[39m \u001b[34mdplyr  \u001b[39m 0.8.4\n",
      "\u001b[32m✔\u001b[39m \u001b[34mtidyr  \u001b[39m 1.0.2     \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mreadr  \u001b[39m 1.3.1     \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.5.0\n",
      "\n",
      "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mas_data_frame()\u001b[39m masks \u001b[34mtibble\u001b[39m::as_data_frame(), \u001b[34migraph\u001b[39m::as_data_frame()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mpurrr\u001b[39m::\u001b[32mcompose()\u001b[39m       masks \u001b[34migraph\u001b[39m::compose()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mtidyr\u001b[39m::\u001b[32mcrossing()\u001b[39m      masks \u001b[34migraph\u001b[39m::crossing()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m        masks \u001b[34mtidygraph\u001b[39m::filter(), \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mgroups()\u001b[39m        masks \u001b[34mtidygraph\u001b[39m::groups(), \u001b[34migraph\u001b[39m::groups()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m           masks \u001b[34mstats\u001b[39m::lag()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mpurrr\u001b[39m::\u001b[32msimplify()\u001b[39m      masks \u001b[34migraph\u001b[39m::simplify()\n",
      "\n",
      "\n",
      "********************************************************\n",
      "\n",
      "Note: As of version 1.0.0, cowplot does not change the\n",
      "\n",
      "  default ggplot2 theme anymore. To recover the previous\n",
      "\n",
      "  behavior, execute:\n",
      "  theme_set(theme_cowplot())\n",
      "\n",
      "********************************************************\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(igraph)\n",
    "library(tidygraph)\n",
    "library(tidyverse)\n",
    "library(ggrepel)\n",
    "library(cowplot)\n",
    "\n",
    "theme_set(theme_cowplot())\n",
    "results <- '../results/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T13:07:53.947647Z",
     "start_time": "2019-08-06T13:07:25.958Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“Expected 2 pieces. Additional pieces discarded in 45 rows [60000, 60001, 60002, 60003, 60004, 60005, 60006, 60007, 60008, 60009, 60010, 60011, 60012, 60013, 60014, 60015, 60016, 60017, 60018, 60019, ...].”\n"
     ]
    }
   ],
   "source": [
    "vegas <- read_tsv(paste0(results,'preprocessing/scored_genes.vegas.txt'), col_types = 'iciddddddcd') %>%\n",
    "    select(Gene, `Top-0.1-pvalue`) %>%\n",
    "    rename(name = Gene, p = `Top-0.1-pvalue`)\n",
    "ppi <- read_tsv(paste0(results,'preprocessing/hint.ht_complex.hgnc.pseudo.tab2'),\n",
    "                col_types = cols(.default = \"c\")) %>%\n",
    "    select(`Official Symbol Interactor A`, `Official Symbol Interactor B`) %>%\n",
    "    graph_from_data_frame(directed = FALSE) %>%\n",
    "    as_tbl_graph\n",
    "hgnc <- read_tsv(paste0(results,'preprocessing/non_alt_loci_set.txt'),\n",
    "                 col_types = cols(.default = \"c\")) %>%\n",
    "    select(symbol, ensembl_gene_id)\n",
    "# wget ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_31/gencode.v31.annotation.gff3.gz\n",
    "# gzcat gencode.v31.annotation.gff3.gz >gencode.v31.annotation.gff3\n",
    "gene_types <- read_tsv(paste0(results,'bad_genes/gencode.v31.annotation.gff3'), comment = '#', \n",
    "                       col_names = FALSE, col_types = cols(.default = \"c\", X4 = 'd', X5 = 'd')) %>%\n",
    "    filter(X3 == 'gene') %>%\n",
    "    select(X9) %>%\n",
    "    mutate(X9 = gsub('ID=', '', X9),\n",
    "           X9 = gsub('\\\\.[0-9]+;gene_id.+gene_type=', ';', X9),\n",
    "           X9 = gsub(';gene_name.+', '', X9)) %>%\n",
    "    separate(X9, into = c('ensembl_gene_id','type'), sep = ';') %>%\n",
    "    inner_join(hgnc, by = \"ensembl_gene_id\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Total number of genes and PPIs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "32767"
      ],
      "text/latex": [
       "32767"
      ],
      "text/markdown": [
       "32767"
      ],
      "text/plain": [
       "[1] 32767"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nrow(vegas)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[38;5;246m# A tbl_graph: 13619 nodes and 142541 edges\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# An undirected multigraph with 15 components\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Node Data: 13,619 x 1 (active)\u001b[39m\n",
       "  name    \n",
       "  \u001b[3m\u001b[38;5;246m<chr>\u001b[39m\u001b[23m   \n",
       "\u001b[38;5;250m1\u001b[39m HNRNPUL1\n",
       "\u001b[38;5;250m2\u001b[39m CDK16   \n",
       "\u001b[38;5;250m3\u001b[39m UBA1    \n",
       "\u001b[38;5;250m4\u001b[39m FAM107A \n",
       "\u001b[38;5;250m5\u001b[39m TSNAX   \n",
       "\u001b[38;5;250m6\u001b[39m C15orf48\n",
       "\u001b[38;5;246m# … with 1.361e+04 more rows\u001b[39m\n",
       "\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Edge Data: 142,541 x 2\u001b[39m\n",
       "   from    to\n",
       "  \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m\n",
       "\u001b[38;5;250m1\u001b[39m     1  \u001b[4m6\u001b[24m313\n",
       "\u001b[38;5;250m2\u001b[39m     2   647\n",
       "\u001b[38;5;250m3\u001b[39m     2  \u001b[4m2\u001b[24m601\n",
       "\u001b[38;5;246m# … with 1.425e+05 more rows\u001b[39m"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ppi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[38;5;246m# A tbl_graph: 12880 nodes and 127604 edges\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# An undirected multigraph with 107 components\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Node Data: 12,880 x 1 (active)\u001b[39m\n",
       "  name    \n",
       "  \u001b[3m\u001b[38;5;246m<chr>\u001b[39m\u001b[23m   \n",
       "\u001b[38;5;250m1\u001b[39m HNRNPUL1\n",
       "\u001b[38;5;250m2\u001b[39m FAM107A \n",
       "\u001b[38;5;250m3\u001b[39m TSNAX   \n",
       "\u001b[38;5;250m4\u001b[39m C15orf48\n",
       "\u001b[38;5;250m5\u001b[39m TCL6    \n",
       "\u001b[38;5;250m6\u001b[39m SRSF2   \n",
       "\u001b[38;5;246m# … with 1.287e+04 more rows\u001b[39m\n",
       "\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Edge Data: 127,604 x 2\u001b[39m\n",
       "   from    to\n",
       "  \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m\n",
       "\u001b[38;5;250m1\u001b[39m     1  \u001b[4m5\u001b[24m956\n",
       "\u001b[38;5;250m2\u001b[39m     2   954\n",
       "\u001b[38;5;250m3\u001b[39m     2  \u001b[4m2\u001b[24m054\n",
       "\u001b[38;5;246m# … with 1.276e+05 more rows\u001b[39m"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(ppi, name %in% vegas$name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HT + LC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[38;5;246m# A tbl_graph: 14512 nodes and 173796 edges\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# An undirected multigraph with 248 components\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Node Data: 14,512 x 1 (active)\u001b[39m\n",
       "  name    \n",
       "  \u001b[3m\u001b[38;5;246m<chr>\u001b[39m\u001b[23m   \n",
       "\u001b[38;5;250m1\u001b[39m HNRNPUL1\n",
       "\u001b[38;5;250m2\u001b[39m CDK16   \n",
       "\u001b[38;5;250m3\u001b[39m UBA1    \n",
       "\u001b[38;5;250m4\u001b[39m FAM107A \n",
       "\u001b[38;5;250m5\u001b[39m TSNAX   \n",
       "\u001b[38;5;250m6\u001b[39m C15orf48\n",
       "\u001b[38;5;246m# … with 1.451e+04 more rows\u001b[39m\n",
       "\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Edge Data: 173,796 x 2\u001b[39m\n",
       "   from    to\n",
       "  \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m\n",
       "\u001b[38;5;250m1\u001b[39m     1  \u001b[4m8\u001b[24m229\n",
       "\u001b[38;5;250m2\u001b[39m     2   786\n",
       "\u001b[38;5;250m3\u001b[39m     2  \u001b[4m3\u001b[24m333\n",
       "\u001b[38;5;246m# … with 1.738e+05 more rows\u001b[39m"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ppi_lc <- read_tsv(paste0(results,'lc_ht_network/hint.hgnc.pseudo.tab2'),\n",
    "                col_types = cols(.default = \"c\")) %>%\n",
    "    select(`Official Symbol Interactor A`, `Official Symbol Interactor B`) %>%\n",
    "    graph_from_data_frame(directed = FALSE) %>%\n",
    "    as_tbl_graph\n",
    "ppi_lc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[38;5;246m# A tbl_graph: 13735 nodes and 156190 edges\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# An undirected multigraph with 325 components\n",
       "\u001b[39m\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Node Data: 13,735 x 1 (active)\u001b[39m\n",
       "  name    \n",
       "  \u001b[3m\u001b[38;5;246m<chr>\u001b[39m\u001b[23m   \n",
       "\u001b[38;5;250m1\u001b[39m HNRNPUL1\n",
       "\u001b[38;5;250m2\u001b[39m FAM107A \n",
       "\u001b[38;5;250m3\u001b[39m TSNAX   \n",
       "\u001b[38;5;250m4\u001b[39m C15orf48\n",
       "\u001b[38;5;250m5\u001b[39m TCL6    \n",
       "\u001b[38;5;250m6\u001b[39m SRSF2   \n",
       "\u001b[38;5;246m# … with 1.373e+04 more rows\u001b[39m\n",
       "\u001b[38;5;246m#\n",
       "\u001b[39m\u001b[38;5;246m# Edge Data: 156,190 x 2\u001b[39m\n",
       "   from    to\n",
       "  \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m \u001b[3m\u001b[38;5;246m<int>\u001b[39m\u001b[23m\n",
       "\u001b[38;5;250m1\u001b[39m     1  \u001b[4m7\u001b[24m779\n",
       "\u001b[38;5;250m2\u001b[39m     2  \u001b[4m1\u001b[24m179\n",
       "\u001b[38;5;250m3\u001b[39m     2  \u001b[4m2\u001b[24m615\n",
       "\u001b[38;5;246m# … with 1.562e+05 more rows\u001b[39m"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(ppi_lc, name %in% vegas$name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mapping matches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-07T14:25:12.531039Z",
     "start_time": "2019-08-07T14:25:10.933Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“Removed 33041 rows containing missing values (geom_label_repel).”\n"
     ]
    },
    {
     "data": {
      "image/png": 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KuttrKtGumLFy+2PRfVRCocUR1Z9osE\nSIAESKCkBOrXry9//PGHbRuQ3qBBA9tzUU2kwhHVkWW/SIAESIAESkoAHindu3eXrbfeOqUd\nFStWFBiMHn744SnpUf9AhSPqI8z+kQAJkAAJlIzA6NGjpUOHDtoNdtttt5UKFSrIPvvsI5Mn\nT9bHJWtYCSqmW2wJoLNKEiABEiCBeBCoVq2aTJo0SebOnZuMw3HQQQcxDkc8hp+9JAESIAES\nIIHCEfjss8/k/vvvl6+//lr23XdfOf/88wX2G1Zp0qSJ4BVn4QxHnEeffScBEiABEsiLwFNP\nPSUnn3yylC9fXsfVePPNN+Xee++V119/Xdq1a5dX2VG7mDYcURtR9ocESIAESKAoBFatWiUD\nBgyQLVu2JIN4wfvk999/l169eukgX0VpSEgqocIRkoFiM0mABEiABIJFYMqUKY62GCtXrpRZ\ns2YFq8Elbg0VjhIPAKsnARIgARIIJwGEKsdSip0gHecpfxOwJ/X3eR6RAAmQAAmQAAnYEGjb\ntq1s3LjR5oxol9fmzZvbnotrIhWOuI48+00CJEACJJAXgb322kvOOeecMuHLEWvjlltuke22\n2y6v8qN2MRWOqI0o+0MCJEACJOALAez0mr5MMmzYMLnttttk9913l2222UYH9RozZowMHDjQ\nlzaEuVAqHGEePbadBEiABEjAdwI//fST9jqpVKmSVK5cWRo2bCgTJ07U9ZYrV04rF9j9Fcsr\n8+bNk969e/vepjBWQIUjjKPGNpMACZAACRSFAFxcDznkEHn++eeTrq+LFi3Se6QYpaMoDYlA\nJVQ4IjCI7AIJkAAJkIA/BB588EHB7EX6rq9YXrnwwgv9qTSipTLSaEQHlt0iARIgARLInQBs\nNc4991x57LHHJJFI2Ba0cOFCHeQLthuU7ASocGRnxBwkQAIkQAIxIoDZDOyJgr1RMgm2nd9q\nq60yZeE5CwEqHBYYPCQBEiABEog3ASyVNGrUSJYsWZIRBBSNE044wTHwV8aLY3qSNhwxHXh2\nmwRIgARIoCyBM888M6uyUbFiRdlzzz0FLrEU9wSocLhnxZwkQAIkQAIRJvDee+/JI488krWH\ngwYNEmxJv9NOO2XNywx/E6DC8TcLHpEACZAACcSUwHXXXSeHHXZY1t7vuuuugryw36B4I0CF\nwxsv5iYBEiABEogYgXfeeUeGDBni6I1iuosgX6+99hrtNgwQj+9UODwCY3YSIAESIIFoERg9\nerTjNvPWnk6aNEl7r1jTeOyeABUO96yYkwRIgARIIIIEVq5cKfBOcZJtt91Wz2x06dLFKQvT\nXRCgwuECErOQAAmQAAlEl0CbNm30xmt2PaxXr56sWLFCjjzySLvTTPNAgAqHB1jMSgIkQAIk\nEA0CP//8s1Yk0JuzzjpLdtxxR4G7q1WwzfzDDz/MbeatUPI4psKRBzxeSgIkQAIkEC4CcGdt\n3ry5VK9eXXbeeWe98+usWbPko48+ko4dOyZtOerXry8vv/yydOrUKVwdDHBrU9W5ADeUTSMB\nEiABEiCBfAhgEzYsn2CfFCPY+RW2GR9++KG8/vrr+hx2iN1hhx1MFr4XiABnOAoEksWQAAmQ\nAAkEl8DSpUulffv28ttvv5Vxf92yZYtcddVVuvEwEKWy4c84cobDH64slQRIgARIICAEVq1a\nJQcffHDSZiO9WVA4Zs6cmZ7MzwUmwBmOAgNlcSRAAiRAAsEicPfdd8uaNWsyNophyjPiKchJ\nKhwFwchCSIAESIAEgkZg/fr1cskll8jNN98smzZtcmwedn6FpwrFXwJcUvGXL0snARIgARIo\nAYHvvvtOGjRoIDAAzSbdu3eXgQMHZsvG83kSoMKRJ0BeTgIkQAIkECwCmNnAJmvZpHz58nLi\niSfKmDFjsmXl+QIQ4JJKASCyCBIgARIggWAQgK1G1apVszYGu722atVKB/bKmpkZCkKACkdB\nMLIQEiABEiCBUhOAt0nNmjXLuL2mtwsRREeNGiXTpk2TSpUqpZ/mZ58IcEnFJ7AslgRIgARI\noLgEatWqJZs3b85a6VFHHSV9+/bNmo8ZCkuACkdhebI0EiABEiCBEhDAXijZXF9Nsx544AFz\nyPciEuCSShFhsyoSIAESIIHCE9hll11cKxvPPfec3kOl8K1gidkIUOHIRojnSYAESIAEAksA\n8TN++OEHV+2bMGGC9OjRw1VeZio8ASochWfKEkmABEiABIpA4KuvvhK3yyNXXnmlHHvssUVo\nFatwIkCFw4kM00mABEiABAJL4JNPPnE9W3HjjTfK0KFDA9uXuDSMRqNxGWn2kwRIgAQiQmDi\nxInSrVs3gRtsNjn//PNl0KBB2bLxfBEIcIajCJBZBQmQAAmQQGEIvPvuu66VjU6dOsmwYcMK\nUzFLyZsAFY68EbIAEiABEiCBYhBYtmyZdO7c2dXMxqmnnipTp04tRrNYh0sCVDhcgmI2EiAB\nEiCB0hGA8rDXXntl3Yytdu3a8sorr8ijjz5ausayZlsCVDhssTCRBEiABEggKASuuOIKPbOR\nbedXbMb2xhtvSNeuXYPSdLbDQoAKhwUGD0mABEiABIJF4LHHHhN4mbiRyy67TBo3buwmK/OU\ngAAVjhJAZ5UkQAIkQALZCdx1113Sv3//rBnLlSsn/fr1c62YZC2QGXwhQIXDF6wslARIgARI\nIB8CCxYskIsuushVEYg2ipkQSrAJMA5HsMeHrSMBEiCB2BFYt26d7L333q763bJlS7nvvvtc\n5WWm0hLgDEdp+bN2EiABEiABC4Eff/xRqlWrZknJfPj2229nzsCzgSFAhSMwQ8GGkAAJkEC8\nCcALpU6dOq4hzJkzRypVquQ6PzOWlgAVjtLyZ+0kQAIkQAKKwJ9//imVK1d2FdQLwD7//HNp\n2rQp2YWIABWOEA0Wm0oCJEACUSWw2267uVY27r//fmnWrFlUUUS2XzQajezQsmMkQAIkEA4C\nI0eOlO+//95VY998803p0KGDq7zMFCwCVDiCNR5sDQmQAAnEigDClX/11Veu+vziiy9S2XBF\nKpiZqHAEc1zYKhIgARKIPIEaNWrIqlWrXPUTrq/Ykp4SXgK04Qjv2LHlJEACJBBaArfffrtr\nZQMhy88+++zQ9pUN/x8BznDwm0ACJEACJFBUAgcddJB88sknruq88MIL5eabb3aVl5mCTYAK\nR7DHh60jARIggUgRaNGihcycOTNrn7A/Crak79ixY9a8zBAOAlxSCcc4sZUkQAIkEHoC55xz\njitlAx0dNWoUlY3Qj3hqB6hwpPLgJxIgARIgAR8IYCM2xM9wI4g2euqpp7rJyjwhIkCFI0SD\nxaaSAAmQQBgJdOnSRbDVvBs54ogjZPny5W6yMk/ICFDhCNmAsbkkQAIkECYCAwYMkClTprhq\nMmJyTJo0yVVeZgofASoc4RsztpgESIAEQkHg5ZdflkcffdRVW8uXLy8LFixwlZeZwkmAXioB\nHbcvv/xSsO3ysGHDBE8IFHcE8KO1yy67SOfOnaV69eruLkrLtWXLFlm6dKk8++yzuqwddtgh\nLQc/FpMA9tho0qSJVKzIn6tics+3rnfffdd1oC6M7aZNm/KtktcHnAD/gwM4QFAyYGB11VVX\nycaNGwU3UYo7AmD13nvvyf/93/8Jnq7q1avn7sK/ciUSCTnyyCNlxYoV8vXXXwviBey9996e\nymDmwhJYtGiRVKhQQcaOHSvbb799YQtnab4QGDdunPTq1ctV2fifxbb0cIOlRJsAFY6Aje+E\nCRNk4MCBsnr1asGT9bXXXhuwFoajOdhzoX79+rJs2TKpW7eu60ZjNumjjz6SX375hT+Arqn5\nn/Hf//63/n9Yv3693sLc/xpZQ64EYPDpVtlAHVA2+FCVK+1wXcdH54CNF/YLmDZtmv5xDVjT\nQtWc7t27C8Ihjx8/3nW7P/30U1m4cKGsXbuWyoZrasXJePfdd+vp+WeeeaY4FbKWnAjABsOL\ngj979mwuleVEOpwXUeEI2Lgh3G/z5s0D1qpwNueQQw7RthhuWz9r1iw54IAD3GZnviITwFPz\nF198UeRaWZ1bApip8LL8+Nlnn8m+++7rtnjmiwABLqkEbBBr164tMFqkFIbAH3/84bqgrbfe\nWqpWreo6PzMWlwAMC7nOX1zmbmuDrdm2227rNrvejn7PPfd0nZ8Zo0GAMxzRGEf2ggRIgARK\nRsCLsvHaa68JlY2SDVVJK+YMR0nxe6scHhRz586V7bbbTvbYYw/bi1etWiU//PCD7L777mWe\n1mEIuWTJEsEsys4772x7vTUR09cw5mrcuLE12fEYbm3Tp0/XUQLxg4KlIXgXWOXPP/+U+fPn\nW5P0ceXKlbXdyo477ljmnEnw2n5zXaHev/32W21Mai2vSpUqmrWd0RvsQbK5+sF1t1q1arJ4\n8WKpUaOG7biYcuzGdPPmzQIXahgY77rrrtam6eM5c+bo8UbZuYiX78Bvv/0mWJOHdw8CODVt\n2tTVU2++bcylX7ymcAS8zDrBrgpeYJSYElA3MUqRCSjDt4T6uiXuuOOOMjWrm3tCGS2WSUeC\nWiPV1/3jH/+wPY/EO++8U+d54YUXknmUIVdChRbW6agXL9Sj4nwk86QfKNfSZH5lTJl+OuWz\nUjISnTp1SqinnOQ1qEPddBLKWyQl78qVK1PymPaY9/333z/x5JNPplyTS/tRwHPPPZe44IIL\nUsrK9OGJJ55IXH755Y5Z+vTpY9t29FvZiyTmzZuXcq3ykrHNb/qKd+V9kfjuu+90vhNOOCHl\nenz49ddfE2qpR59XW3SXOf/GG2/oczfccEOZcxMnTkwoRSgxZsyYMufcJLj9DqglwMR///tf\nXZe1b0rZTCj37oRSihyr89LGp556KnHppZc6lsUTxSeA75d1zDMdKzf/4jeQNQaKAGc41H9I\nlEXdsOSoo46Sn376SQYNGiTHHnusjlNxzz33yD//+U+9c6OdodcjjzwiDRo00NdhwyV4z9gJ\nDL/wxIJZF+wEiTJx/MorrwjKOO6447SnCLxGrHLwwQfL2WefnUzCGjBmEBCD5OSTT9bxFrp2\n7Sq5tj9ZsA8HSqnTsxIoGoZyiBNx7733Sps2bTRPE/tDKQiybt062xYMHTpUz2qAPQKVYTYA\n8UPS5c0339SzJDVr1pRXX31Ve95Y8yA4HAT7T1gFZSkFKS97ILffAaXU6f5jsy28dtppJ/ng\ngw/kpZdeErDCrBrcvdOlEG1ML5Ofi0fAy8xGjx49dGyc4rWONQWSQKDUn5g0ppgzHI899ph+\nAlE3uBS66mag0/GEnS54qlZKg376PuWUU/Sx3ayLutEm1I0woabzE2pJIL2YxDvvvJNQP0oJ\n5SaXUEsL+ryZ4VAeB2XyI0HdqHS7lBKjz+fSflOwXzMcasnKVJF8f/rpp3W7b7/99mSa08F1\n112n8/bu3TuZBeOgfiASajkimYaD8847L6GWwBJqKjqx1VZblZn96tixY0ItlyQwywDB2Kk4\nLnq2AeOCMnOZ4XD7HVBGuQm1DJZo1qxZsg26IX/9wYwVvgOYxTGSaxs5w2EIlv4d30V8t9y8\nTjzxxNI3mC0IBAEajar/mCiL+mGQo48+Ws8aWPt5+OGHa/93pShYk/UxYh2om4KerVA/FvpY\nLTeUyYdogkqB0LMf5qnemumwww7TT+QdOnSQ77//3nrK8bh169ZSq1YtPVOATLm037FwH09g\nxgaCWZpMgnDp11xzjXa/xQyCEYwHBOGgrQIDO5zDLBI8bqZOnZo8DfuQDz/8UIdxN0+baplO\nhg8fLmeeeaaMHj06mdfrgdvvAALU4QWbHdMGa1233HKLnH766Tpyq0kvVBtNeXwvLgF4c7n1\n/oK9mFIUi9tA1hZYAlQ4Ajs0hWkYptUxtZ1uZKpsPAQGh3Z+8LgR4qaPGx22lYaBKZZV0gU3\nO7gqYtnESW666SZ944PBoxtB4CCEFccPFSSX9rupp9B5Hn/8cV0klq+cBMaR/fv318ahzz//\nfErETChlYGldVvnqq6/0cg2UjUMPPVRgoAoFxMjHH38sGzZsSDHCa9u2raAeLIF58RwwZZp3\nt98BLPXAOBjfMYw1DJatgqWeBx98UNRMRzK5UG1MFsiDohGAUulW2cBviNsHjaJ1gBWVlABt\nOEqKP7fKEXobswd2oqau7ZJT0uBNgCdP2FqcccYZKedww8dTNvZywQ0QApsKtVQg77//vrZT\nMBdA4cCTLZ54CiGYHYAVOwS2Jk6Sqf1O12RLh/KF/lWqVClbVjn//POTN3NEJYVXhjIYlQce\neEAraXYFYBYA69iw+cAeL+kKIOJ/tGzZMmWGA8oFfuBx0wZjKCVWhcPYb0ApNKKMd81hzu9e\nvgOoBDNdsN0ZPHiwfu23336CdmADPbQt/ftRiDbm3DlemDOBdI+zTAXBjufHH3/MlIXnYkig\nfAz7HPouIzAYblx2L9w4MwmeiJU3hCCqJsJFpy+FjBo1Sl+OJ3Ej5thqOAojT/yg4CkmF8EM\nC2YxzAvKD3YFRbq5edmVm639dtdkSoPyAkNVKE4jRozI6saKsmDIiRs/XpMnT9auoBgTuCyj\nvHTBub59++rZChhRQnGwE9ygUQaUEwiMRBH51LgwQ/H45ptvtBsszisbGW1saucOi/O5itvv\ngCkf7BAhF4azmI2BG+9dd92ll/JgeAzFlBJuAlA28D12I8gL93wKCaQT4AxHOpEQfEbIbtyM\n7AQ/9JidsBN4qsBbBDcA3PhOO+20lGyIkaGMNAWxMPC0j5cRxIvAkyyuQ0wHzAQg1gJiQOQi\nuIlimcAIdgHFUz9sIZyegLO135Tl5v3nn3/WCgaULpS7zTbbSPv27ZMzF5nKQGwKowQgH8p6\n+OGH5YorrtCht19//fWUy7HrL5QT8MbsiJNA4RgyZIj28MBy1ltvvaU38jP5cTOHYFxwk8fy\nS/oMlcmb6R179WDnVaugPswqefkOWK/HDM25556rX8a2BPvYQEkFV9ieWMfbei2Pg00Avwdu\nlQ30JNtDT7B7y9b5SYAKh590A1Q2dk3FDQ0uisprQdtGpDcPSoxZc4WLq53g6VfFQtCnDjzw\nQFHeGfqG7RRYCoGgpkyZopcTsHurERiHoh1uxU373ZSFcqCUjRw5UrDzKIJuoT9Q0lRMCz1b\n4aYcax5MH6MMzHxA2YAhLWwbIDASvfHGGwX9xQxKJkEe2GlAkYCxLGZLjJKB6+BCC6UMLqfK\nK0Qb86a7w2Yq35zDmGA2wipQuKBweP0OYEYGChjseMyUO5ZQ2rVrp1/HH3+8VjhgOEiFw0o8\nHMewvVmzZo3rxipXCNd5mTF+BLikEoMxxxQ3fuzxJI8lABhi2gkMBRExEzdlPOlaX7gWsxq4\nUZsfFeOZoQJ12RWn03CTvfjii3OeCUEhbtvv2Ah1AjdGbD2PmQF4SeCJXAXL0pu7wZ4FsTDy\nFRjGgpnx/IHxJuqsU6eOjkOBm3omgZKB2QAYg0L5wTITDCytAgUEM1RQSsysjPW8m2N4sMAL\nyfqCUgTx+h2AgoJN1TAbYyewNQJrxCqhhIsAlMbPP//cdaPN74LrC5gxdgSocER8yPGUjKdg\nvGMqHT8idgLPEBgzYmod20tD8bC+sKSCJ2DcOKC0QM466yyBgeAll1wixoDRWjam0R966CG9\n9JLLkzjKctt+a73WY8w2wFgT3jiPPvqoniHAND9memDkiKWcQgi8M+CpAaUMdhd4KgQvTC8j\n6JVbhQazUDNmzND2GVhaghJiFSgcmFHAEg1u5rl4osAYGDMp1hdmJXL5DpiAblg2sjMSxLIK\ngp+p6LjWbvA44ATwO4HfC7cCRZtCAtkIcEklG6GQn7/++uv1zRVPyrAzSBcsc8CuADEb4O4G\njxQnQTwFTI3jhg0FAjcsGHkedNBBOpopbiq4IeLJHMsLWH5BHhWASysvTuVmSnfbfqcy8ASO\nPVhatGihlz169uyZc1tMHYijgX5B8EOL2R8Volsbe8ImBDdvKGFwa4XLKGJa4GUnWCJRgbqS\np6DwYUYIyyaIp5EuOA/PlUmTJgkimRZScvkOwI7n6quv1rYnmH6HAoI+w7gXMzWwFYECdtJJ\nJxWyqSzLRwK33XabJ2UDNkx4OKGQQFYCgQg/FrNGqJuPjtBXjL1UGjZsqOtSXwTbd7XUouk3\nadIkoTZQS6inUcfRUIZjCeXVklBr9QnlwprMp24sCaVo6IiSph71A5RQ6/oJtVFbMh8OskUa\nTcmsPrhtf/p1+IxIo8ruIaHsKuxOl0nLZS8VNQORUEspCaUIJNTTfLJMRGg1LDK9K7uN5DU4\nAGPl+aOvVQpLyjnzQYVQ1+ez7XGjbGd0PreRRvP5DijFIqGUupT9dJRhbUItKenop6bt6e9e\n2shIo+n0Cv9ZxUxx9b0132m1vFf4RrDEyBIoh56pLw+liATg7YF1b9gSpHuUqB99QZwNrHuH\nTWCECfsPWLTDViKbzYLf/UNwLdhCYN8YNwIjVhhUIoAVJTcCGHssu2GpB0tzhRQYKM+cOVPH\nkClkuSzrfwRgcwRjZLeCWcwOHTq4zc58JCCcBwvYlwABpLJtaR6wJiebg2WGffbZR6A0lVrZ\nQKOw9OBlqheGmCZiaLJTPPBEALyxzFJoZQONQNkYU0rhCcCmyYuygeixVDYKPw5RL5E2HAEb\nYRgNwvgORpqU/AjgSRsuq24FYckZsMgtreLnw/+FsZ0pfu3RrRE2GFaX9Ww9hc3Rv/71r2zZ\neJ4EyhDgDEcZJKVN6Natm44eWdpWhL92hBuHSy48VNwKAqrBuBNLWpRgEYC3EoLS0dul8OPi\n5eEGxtcwjKaQQC4EOMORCzUfr8HTA9we8cN66qmnitpi3FOUPx+bFoqiEQMDHhLYkwWuunDb\ndSuYDUHId8wyQVnBtWY/GbdlMF9hCcClFnvswPsFLtbYb4ZSOAJelqgQI8Yp3krhWsSSokwg\n8goHDAexpty0aVPHccQPGm40mK5t1apVxmlbL3kdK8xyAjuzIiYG9sqAISYM8fwW2A7jxwRx\nKxDx0u3urn61C+1B1FPl5aLdTlEPQizDRgT2AU4/lIj9oTxE5LPPPvOkbJh+wIUT8TRgy3Hl\nlVf6Yotg6uJ7dgL4Tvbr10+7X5uYH9mvYg43BJz+h+yuxT5HGAsKCeRFAF4qURW1e6d28VJ+\n5Y5dVDEEEuopNukKBpdPFd/ANr+XvLYF/JWYyS0203V+nlORJjUDtXGads30s65MZatYIAkV\nDyKhFMTkmKgZh4QKNpbpMp4jARLwQEDdNJL/X9mO4aZNIYFCEECY6kiKmtlIIEYC/pmcFA7E\nZ8B5FREyodztEmrtXseTQJpypUzh4iVvyoU2H4KmcCCOBljhh0VFzLRpsf9JKsx2Qq0N65gW\n4I84HipIV0LtQup/5ayBBGJEAP9fXl4xQsOu+kwgcgqHivqYUFEN9T+Ucs10VDjUUoUOYqW2\n9k6o8NNJzGrLd52upu2T6V7yJgvKcBAkhQM3erXkpDm98sorGVrtzymM17XXXptQhmu6DSo0\neELt9ZFwCnrlTytYKgnEg4AXRQN5KSRQSAKR81Lp2rWr3oUUIazVkor6n7EXGBTC9xyhvM0u\nl8iJsNR9+/bVhmrYrwLiJa++IER/YKSKzdEuuOACAbtiydKlS+XCCy/UtiJK4dB7jlx++eV6\nTLBBHAKHUUiABApHwPo756ZUdaNxk415SMA1gcgpHHDbwuZicG+Eh4eTTJ8+XZ+ys3o3adhE\nC+Ilr74gJH+wdTp2B8XGZtgxtRiCaIbwvoFCAfc6bJ6GPUGggCDCpwqHXYxmsA4SiBUBGIh6\nMT6nshGrr0fROhs5LxW4M7oRs7OlnQ+6CRa1fPlyXZSXvOl1YxYF8QOsArfXUgtCkGObcuxu\nig3Z8O6nIIonFAq1bKO3t2/UqJHe4AweJUGISupn31k2CZSSgBdvFLSTykYpRyvadUdO4XA7\nXGvXrtVZa9SoUeYSo3DAJRXiJW96YYgLgSWDIAmedOBquHr1ahk2bJie4fCjffjhgnsvFI33\n339fV3HwwQfrGBlqYzdPYcf9aB/LJIGoE6CyEfURDlf/YqtwmCd6u2lGbDkOMWueXvKmDz+2\n7Da2IOYc4mvccMMN5mPR36EAwC4FobyxNX2hBdvcY9YESyVz587VxXfp0kVgo4Ht1SkkQAL+\nE2jbtq2nSjiz4QkXM+dAILYKR506dTQu7COQLiYN9gUQL3nTy8Jsidq6PSXZzJikJBbpA+xR\nrrnmGm0rAfuNQgpmhBAN8vbbb9e7xkJhw664gwYNkubNmxeyKpZFAiSQgcDee+8tCxYsyJAj\n9RSVjVQe/OQPASocGRQO5TKrqbtROExef4apMKUqF1hRLsOCGZxHH31UVNyNghSsXFtl+PDh\nenkGyhpmhM466yy59NJL6W1SEMIshATcExgwYIAnZcPM6LqvgTlJIDcCsVU4GjdurIlhaUEF\n/kqhhzSI8VbxkjeloAB9ULFGdMhvFd9C228gdLlZ7si1md99951WXMaPHy8bN26UqlWryhln\nnKFdjWEbo2Ka5F1Hrm2zXgdX5z322ENUcDNrMo9JIHIEsIsrHibcCnZHVkH23GZnPhLIi0Bs\nFQ5sRNSsWTMZO3asDBkyRKpVq6ZB/vLLLzoNe2q0a9dOp3nJm9do+HTxBx98oJUAY0AGr5uL\nL74459pgo4HdO6FQYCq2SZMmUrlyZdl22221e2sp7VPsOoW2YlxVaHo5/vjj7bIwjQRCTwD7\nRj388MOu+zFt2jQxBvKuL2JGEsiDQGwVDjAbPHiwDvLVsWNHfYybp9pTRG8WNnHixJSdQr3k\nzWM8Cn4pZms6dOigvUSw/XpcZd68eVoxggFvuk1NXJmw39Eh8Nxzzwk8v9yK2rpBDj30ULfZ\nmY8ECkIg1gpHnz59dDAcRNlEZFIIdiRFpMsDDzwwBbCXvCkXlvgDZm8mTZokcVY2MARYFsMO\nsj169JAvv/ySyysl/l6y+sIRwA7WXpQNPEypTRoL1wCWRAIuCZRTT/Wxj18LBIsWLdJLBA0b\nNswYiMpLXqcxGDdunPbeuOOOO+Siiy5yypZ3+rp16wQBtrDNO+V/BOAqOGbMGKlXrx6RkEDo\nCWC5sEqVKq77gQcPExPH9UXMSAIFIhDrGQ7DELYNUDTciJe8bsrzMw9+WEwsET/rCVPZsDOB\n7QmFBKJAwIuygRg4U6ZMiUK32YeQEqB5ckgHLluzMbsB11QKCZBANAkYI3A3vcMWDlQ23JBi\nHj8JcIbDT7olLPu8886Tb775JuPMDbxVEEOjQYMG2sPErrnz58/X9g52u7euXLlSVqxYIfvs\ns0+ZmRT49uPadIE3CzbVg62Mk8ALBu67+JHMFCsEUWKxVw3yo30VK/Lr7MSU6dEi4EXZwP8b\n/s8pJFBqApzhKPUI+FA/woqPHj1a75GCG7yTYLdW7BT7+eefO2WR1q1bJw1qTSZs/IbpWSgD\nuB4/aNgIDjd+I9inBefSX1Bu4IoHt2O0M13uu+8+qVmzpvYowc6xUGbefffd9Gx6N2AEZIOi\ngTxQTtxu3FemMCaQQIgIeFE20C38L1JIIAgEqHAEYRQK2AY88Z9zzjl6xuKBBx4Qrz9Obppy\nySWXyKxZs+TWW2+VGTNm6JgeCJOOKKbpgs3aEBvAvO69917tggwj3ZNPPllgMW8EW9djbxcY\ndr7++usyYcIErcwcccQRuh6TD3FF+vbtK3Xr1pVnn31We+EgSBtmdZ5++mmTje8kEDkCXv+f\n6RMQua9AqDvEOehQD9//Gr9p0yZB2HLs/YKbOIJc3X///dpDpdDd++STTwReNtgBF4oHpEWL\nFjJ79mytIOBpyrpcUr9+fTnttNPKNKN79+7aVRfxALp27arPX3HFFTpaKWY+TCA2zGBgAzyk\nHXTQQTrf448/rsOzP/jgg8k9WpBnt912EyhZJ554Ypn6mEACYSdAZSPsI8j2c4YjxN8B7FuC\n+CHwvMCSAm7S7733nhxzzDHaYBRLHAg5XkhBPZjNwGyCVbA5G+w2YNfhRrBUgyWZmTNn6ux4\nEsPMjFXZwAlEMUVocqtrL7xM4H2zyy67JKtCKHW0DRvIUUggagSobERtROPZHyocIR137I2C\nZQQsKcB4EgKffAgiCCLGB4KXYeajkIL4Ff3799c3d1MulnGwfwOCayHuhxvBTpYwOK1du7bO\njh9UBCOyBiRCH7FsgxkcBOwyAoUKyg1CqKPPyIelmh9++EErWyYf30kgCgSobERhFNkHEOCS\nSki/B1hWgB2EnWCXVgh2bXWziy3cZ7Hxmp1kUljeeOMN+c9//iOffvqpXtp45ZVX7Iook4bI\niJdddplOT984z2SGUoO9IbA8BGNQbHNvBAoHFK1TTjlFKzqIRQBl46abbkqWa/LynQTCTIDK\nRphHj21PJ1CwGQ7cdGA/gPV8TO1jTxLIhRdeqJ+2GWwpHX1+n+08PKwlDhw4UCsC2223nTXZ\n9hgzCBgfu5ftBX8l4iaPJQ94lcAFdtSoUSmeKsj2wgsv6FkMzGTghfbA1gLpmM3AHjXpguUV\nzFxghgY/uFCuEJbcCNx5n3nmGZ2nadOmghfyvfrqq3rzOJOP7yQQZgJUNsI8emy7HYGCzHBA\nqRg2bFhyat9a0VtvvaVvFi+//LK+yTg9SVuv4XF2AtlsM6BwwF3VjUBRaNWqlW3WTGXAUwQv\n2IoMGjRIrrzySu3yevbZZyfLgmurdZMoGLZiq3h4r3Tq1CmZz3qAH1ooFBDM4sBYFMrJ8uXL\ntWKBOt955x35+OOPk4akX3/9tTZCRV1Lly71xTvH2kYek4CfBKhs+EmXZZeKQN4zHNjoDPEc\nEFsBN5o777wzpS+nn366Nmp88803ZejQoSnn+CF3AoiD4ST4sdp9992dThc8fautthIs4yDw\n1osvvphSPoxDsXeJeWF55PLLL3dUNlIuVh/gpYKZMxiNQsFYs2aNVjaOPvropLKBaxDfY8CA\nAYLlGmOIml4WP5NAGAhkCnZn1366vtpRYVoQCeSlcODJFmv48A5APAYEbWrTpk1KP7ETK5Zb\nsM4Owz4uraTgyfkD7BecBMabUAL8ECzlwL4CodOtgpkQLJdgFiIXQSREzMo89thjZS43digo\nG9FTYSQKr5h02W+//XQStqKnkEAYCcDbyq2nF/pHZSOMoxzfNuelcMydO1e7IWJmA9PkTgLP\nBQRvgssiPBoo+RNAJFEngT2FNeqnU75c0jGDAKUAcT6sAiNOzD5gRiMXgcKCchHbw3jboBz8\noCJoWPny5fUyDKKKwhgWBqpQPKxilBU7ZcSaj8ckEEQCWDpctWqV66ZhGZFCAmEikJfCgf0u\nILgJZBO4cEIY0z8bKXfnp06d6pgRbrIIP+6HYIkMyzXwCLn55pv1zBYMP2HHg6czBATLRbAc\nc/XVV+vvB2KLTJo0SQcS69y5s95XBXUgsug222wj//d//yfTp0+XE044QeApAxaw65g8ebL2\nXIERKYUEwkQAS5IIqudWXnvtNUFQPQoJhIlAXkajZkv3L7/8MmufEbYasvfee2fNywzZCeDG\nm0kQLMsPga0ObuxwpYWhqJGOHTvqWQ9rMC5zzu07lucg1113XTLkOTyeYBeE5RYjyIdgZ//9\n73+1ITLSwQO2IVBaKCQQJgKwa7rttttcNxnxZ4488kjX+ZmRBAJDQE1Z5yzKHiOhfvgTKpR1\nQk2163I++uijhOpcQv1TJMv98MMPE+oJNqE220qmxflAeWBoRio4V84YlLGuLgOs7V7t27dP\nqH1FEsquIec6sl2oZqsSak+VhFpKyZbV03m1HJRQdhiJhQsXJlSAL8dr1UxOYvHixQm1hJTA\nNW5EGdvq/G7yMg8J+E1AuYfb/v/a/U8jTXlr+d0klk8CvhHIa0kFT9HQtrF/BmImwGPFBKPC\n+voXX3yhPVPg/ojPJjaH+seh5EmgT58+ZbaEN0UiLsbbb7+t9xTBTrBwe/XDWBfGwtj1Fa6u\nhRQsr2CZDjNosN1wEnjj1FORTzFrhmvcCMrLVKabMpiHBApBYO3atZ4i4yLmjXWzw0K0gWWQ\nQDEJOP+au2zFv//9b+22iDDVMB7FWjoEU9vYmhzT3jACxAZemTwrXFbHbH8ReO655xwVDgTy\nUjNNctxxx+ncYI8bMxQ+7L8SZ8GPfOXKleOMgH0PCAGvijoe4CgkEGYCeSsceMqEx8SUKVNE\nTeNrw0EDBLuGHnbYYXrNH54GlMIRwO6s2E/EThAOHIad8ByBYRmCbCFEOXZjRTqURLUUYXdp\npNNeeukl7Z6dj51JpAGxc0UjwMBeRUPNigJEwN08tIsGIxCVCUYF90gsocBrgeIPAQQHQqwN\nO6UDO6nCzRQ/arB8h6EnIsHCQwjLXtgSfvjw4XoG5OKLL9abwPnTymCUihkfGObB5RbxYrik\nEoxxiWsrqGzEdeTZ74IpHFaUmcJhW/PxOHcCvXv31jMW6SXgxwxLKYhVAcEsEwJhXXvttfpm\na7ayx9ICZkDwgocHvEFwzuuPYXr9QfuMQGFYQkFkUgQOU4bLQWsi2xMjAl7/v5T1XozosKtR\nJ5C3wgFjRIQ2x2ZcmKbPtsdH3G0ICvWFwtII9hs58cQTtS0HfpgwFng329WbumCAqTxWzMfk\nOwzQ4I6HsPOIbgjjS7ic9uvXL6mwJDPzgARIIC8CVDbywseLI0CgHPxf8ukHgjThKdmt5Fmd\n22oCnW/cuHF6u3XlFisXXXRRXm3Fjq0wIEWEwmbNmumgWFhG8VK2cm2VW2+9VdAuLIVhueb8\n88+Xc889V4etz6uBvJgESMDzzCF/J/mliSKBvBQOhNA2+3bAAwJGo9gdNNMaudkXI4ow3fap\nkApHep2IMNqiRQvtqowAXR06dEjP4vgZu6zedddd8tBDD+m9UrDEAg8XRBE1Qd4cL+YJEiAB\nWwKc2bDFwsQYEsjLS8VsknXqqafqqXjsBbDbbrsJlAqnVwwZF7XL4D927Fi9tNKrVy9PIc6x\nTIOZESgtCFsOY1NsuIelFoQRVwHcitoXVkYCYSdAZSPsI8j2F5JAXgqH2bBtr732KmSbWFae\nBBBm/JZbbtF2Gccff7znoF+ID3DZZZdpmxxsiIZ4KuPHj5dDDjlE2rZtK88//3wZO5E8m8zL\nSSByBKhsRG5I2aE8CeSlcCDKJJ6CEdWSEiwCcHeFQenHH38s5513Xk6Ng9stgrV99tlngs2i\nsJHa+++/L8cee6ye9cCOsRs2bMipbF5EAlEmQGUjyqPLvuVKIC+FA7YaY8aM0UG/EFk0m4dK\nro3kdbkRQLA1GJLiHfE38hFsFgWbECgfJ598ssDd9JxzztGBxOByCy8XCgmQgNBAlF8CEnAg\nkJfRqCkTW4dju3LEfkBky0whez/44ANzWWzf/TQaTYeKvW0QaXT9+vV6Jqp169bpWXL6jJgW\nMDB98MEHBZFNMfaw5cHMSqNGjXIqkxeRQNgJcGYj7CPI9vtJIG+FA8aFCJmdHvvBqdF09xLt\nfgqDTi+uq0483aS/+uqrOvBV7dq1ZebMmdqTyM11bvKsW7dOHnjgAR2LBcam+MHt3r27jup5\n6KGHuimCeUggEgS8KhsMRBeJYWcnPBDIK/AXllCuueYarWxgXR/GivBo8PqP56G9zJoDAbWl\ntVx33XV6Iz3ETZk6daoOi55DUWUuqVq1qvZQwv4s8I65/fbbdRA4BIJr1aqVXHrppdKjRw/H\njebKFMgEEgghAQTX8yKY5WTUWy/EmDcSBNSMQ87yxhtvIGhYomXLljmXEccLVYRQzU3NcBSt\n+2oGKnHMMcfoei+44AJf61Ub+SX+8Y9/6Lrw/WjQoEFC7d2SUMs6vtbLwkmgFATUMmXyu47v\ne7bXVVddVYpmsk4SKDmBvGY44MUAwT4VlMIR+OOPP3T8i3fffVe7ox5xxBEFKRwbvSFOB8Kc\nI7qo39u0w40WxqUIeY/IpQgghlgfaAP2b3GS3377TZo3by4DBw7MKeAYQrxjmQ9GrthVF/VR\nikcAxuQIGqceRPQMqFI4i1d5kWvq1KmTp/g0Z599to4GXORmsjoSCASBvBQO/KDgh4WGoIUb\nS4QWh/HlV199pXd17du3r47mWrgail8SPFgef/xxvffL119/rQOLwc6jf//+sueee5ZpEBhM\nmjRJEN8FCguUFLeCZT5sP48Iq9gjBm7bXOJzS69w+TAOsO3B+GL8o7hzNL7L+I65laZNm8p9\n993nNjvzkUD0COQ7x6KMRhPqiSZxww035FtUbK7PtKSibGISKr5JJFkoA9PEnXfemahXr56e\ndlaKQELNjiXeeust2/4ql+uE8n5JqJuX7Xm7ROWenejWrZvdKaaVgIDyXkuo3YtLULP/Vaq7\nQdblE2se/1vEGkgg2ATymuFA0CfsnbLffvvpKewRI0boKXB1Q9EzH3bqGfJQnAkouxi9jOKc\nI7xntttuO72somxItKcODExffvll/UJY/EsuuUSHUK9QoYLuJGZ3Ro8eLZ9++qk2QHXT82nT\npmmPGTd5mcd/AjAabtKkiY52m2kZzf+WFLYGr7Nm6jZQ2AawNBIIIYG8FI41a9boaXHT72+/\n/VbwyiRUODLREb3rK9xXoyxQKBAFFS81uyG33XabTJw4UX+Gsgpbj9NPP12goCB8Pr5nbgU/\n7PCcoQSDAOw5YCsEu5yoKBxUNoLx3WIrwkcgL4WjWrVqepOv8HU7uC3GDRPGnXER2FrghY0A\nMePxxBNPaIUD0UsRyRRxPrw8HSIejJf8ceFcyn5GaUyobJTym8S6w04gL4WjSpUqepOvXCF8\n8skn+mmUkSndEcSNdO7cucknf7urVq1aJT/88IM2tEx/0ofx3ooVKwQxA8yyhbWM77//Xn7+\n+Wdrks6HyLHVq1eXrbfeOuWc+QCvGhi5Ik+tWrVMsuP7ggULdPsQndRI48aN5aGHHpLrr79e\nhg0bpo3rbrzxRsETMtoNTxMY3eUjaCfqhtSsWTNjW6EA4UYJA1QYnqaLYYnZKPTbTjAOGI90\nqVixokBZx7VubmCYNcQeNjvssIMOVY82WSXX74Xpg7Ws9GPEithxxx3Tk/WsE7yP4E0UF3Ez\nVlYWVHytNHhMAoqA+qcomaggYQm1L0fJ6i9VxZmMRtWNN7F27Vrbpil3T22khhgXTgKjTAyr\nCryVzLJ06dKEct9LGrippYrEGWeckdi0aVMyDw7UJm/JPCjD+lLKZUJ5zySUwpJyjVoiSyiF\nJJkXY6rsKFLy4IOatUmo9fyE8jjReZXykujdu3dCTbWXyYsExOxQikdCKU3JslUAs4QKWmab\n3yS2a9cuobwHzMeUdxXmPaWslJOWDwsXLkzmU+HbLWf+PuzSpYvOo4Ka/Z2YdqTCvCfLsbI0\nx8pzI6FsVNKu+t9H8FI79uoYJiY/3pWykhgwYEBChZNPXpfr92LIkCEZ24f6VOj6ZD3mAN8b\ncFZeRCYp4/v++++fUIpXxjxBP2kdAzfHQe8P20cCpSCQ1wyH+sejhIAAjDERd+PWW2/V0WBf\nfPFFPZMA2wil/JTpwdChQ/WTPU7gKR97pbzyyiuCreqxNwtcAfGUPmfOHB1fQylAehnk119/\n1UtsiBvyzjvvCAxBjWDfFYRyx547yI8dhrHvCq6B4Wi6YN0fsTvQbswEIDoqQrTjhadq9Anh\n4dEOr4JZExWcTFavXm379I44JZkErrpoD9rx0ksvCUJU77rrro6XqKBnKe6/4InrcW2/fv30\nddgQz4j6IRClEMojjzyiY9ygr+oGr8PSjx8/XkaNGqVnlBBnpBB2EUqx0RGCTf3W9/Tw9DAU\nP+uss/T4wm05DsKZjTiMMvtYFAKl0HJMnZzhKBtptNAzHDNmzEioH8yECm1usOt3FYo+oZZV\nEmoJJZluZjjUsk0yzRwoxSOBGQb1pUyouCs6Ge6nmN2wPm2r3WR1HjzdG1myZElCKRCJM888\n0yTpd7VkovMqL5SUdOuHf/3rXwmlZOgkpcQkVPwO3R+0Qy2zJJTdR8qMkJsZDuTB9eqGbq0q\neayWbhLK80rnsZvhAEu4gk+fPl3ngSuznZgZDqU02Z1OvPfee/p6tRNvynlznQoXn5JuPnTu\n3Flfp2I66KR8ZziUAmmKzvgO9+WGDRvq7w1mnuIww4HviZdXRoA8SQIxJ1Be/TNRIkwA9gV4\nUlbKREov8XQO41Ss47sRPOUpBUNnxQZw6v9GG3U+9dRT2h7BlAEXSNh6wB7ECGYw4KVgfYrH\nOfMZQcHcyGGHHab3aZk/f74o5UW3/T//+Y+278BTOmYa3Ah2z8WuxnazO5i1+eKLL6RPnz62\nRaHfmGFA0DuUg3fYniBYmVdp06aNdiuHLZMRjMnIkSO1q/ktt9xiklPe77//fj1TlZJYhA+I\nqgk7GLhuq2WSItRY2io4s1Fa/qw9egSocERvTFN6BDfT/iqip9WwUc04yKOPPqojmHox2EWo\ndYgxdsSmcHgZwU0XyzZqjV9v2GbSsSwCgWGoVerWrasNYD///HNrctZjtBk3ZWWbIirQl96I\nDvVCiSFyNWUAAEAASURBVPjuu++yXo8bCZZjsKyRbiSL5RQwQ1h2O8HNFvyMQgKlCYoOlqm8\nykcffSQ//vhjynIGFB5lvyJq3xtHI11E70Q7ECa7mAJFB0a3WN6JulDZiPoIs3+lIOB9AbwU\nrWSdKQRwo8LTvp1kuuHiJoUZAQTSwgwH7DLcCBQJxMmA/QA8Ntq3b1/mMig1zz//vLb3QKwV\n3NCNwFYCdhN23h5I++mnn0xWT+/wNMEuuIMGDdIKFGxEYB/hRpTBqrY3QZtPO+205CVQOBAf\nxOmGg9ki7CGEoGQQvMPGAjdjFVEzWY71AOwwa2IEnivKMFUefvhhXRZsZox8+OGH+hAzRV4l\n1+8FlDfYxqQLws+3bds2mQy7kjiI09g79R2zXhQSIIHsBKhwZGcUuBww5MQGZXaSaWofbpq4\nkeGJHMsSWBpAJEizCZ8pD8qMMcbEFD9mAVAn3CNxk7TOluAa/OBiyeTAAw8Utc6v903BcoGZ\ndsc5BPGC0pEucA916kt6XqfP2M8HMTtgzNiqVSunbCnpULhg9IhlFaNwKHsXbRQLhcNOcYGR\n7YQJE7Qhp9kbBCyw1IR0uAYrG4eUevDhyiuvLJMGF1fMDqmdQ1NcS2GQCnHjXpxeaK7fCycj\nWRjCWhWO9Pqi+JnKRhRHlX0KCgEqHEEZCQ/twHS/3RMpioA3yEUXXWRbGp7G8cI6PGYFcCPE\nDEP61DzKhyIAgeKBGw+WGY4//vgyygby4Efa2EPAiwXeKbiZQrHBOcxEwBsFikn6D7pyAc7p\n5op60wUKjZcdcM0sBxQqcMCNF8s+UJTgZZMuTz75pGBTMihPmNEwgng06BvSEDU1XTCLgnLB\nHctL8M7BlgBYDjJKmbmmWbNm+vDLL78U2Ex4kVy/F/DYsZu1sovV4qU9Ycub/t3M1n7ObGQj\nxPMkkEqACkcqj1h8wowGZjbuuecebXuQrnDAWDHd3sItGNgXwK4BrqAff/yxNqpE8Cg8fWPW\nAE/2VsHNHoHISiFQOLCc8dxzz+lZjrFjx2pjVKe2YDkFgv1d8EoX2MWgPGtAM+RBeHZjK4Pg\nZWpzPmndurVWysDI6lKLWSKIdQlGJ6T9wdghGJqKA5J2xvtHKBZmRsv71dG4Ij1IXrZeUdnI\nRojnSaAsgbJz3GXzMCXEBOBFAvsKhAi3Cm78eFJ369lhvRbHsLsYOHCgjs2Rfs7cQE3ZZnt5\nRO+0CiJoYuYDN+BSyL777quXmJ599lkdyRPtMcag6e2BYSu8SbBsg2Wm9Be8ZGCbMW7cuPRL\ny3xGvZgJgScP7D5QlhEoJojsCrsPpz1kYKeDWRK1U3OZGSNTDt/dE8DMBr6HbgXKOoUESMA7\nASoc3pmF6grcRBGwy7oEgA7gJosbGp60cxEoLCgXBpOw0TCCJz/YeWB5A26jkJ49e+qnfuyT\nYhV8Rr4TTjjBmlzUY8xywFtFRdTUS0F2NhhokJndOOWUU3Sb0W7rC5vNQVRsDP2e7Q9mlVS0\nUlGxPERFh01mx80Ps0MIGw7lBzNDVoGNDhRIKCkIjEbJjwBmt7wIlsKc3JW9lMO8JBBHAlQ4\nIj7quBFihgERPvFEDMPIwYMH68igMHy89tprcyKAKXjYIGCmAwrFpEmTtOGkCkqljSdRB9xe\nIbDhUOG49c34hhtu0MsFuDGrgFmCreqNYpJTQ/K8CN40sK2A8uQ0uwE3XyhHDRo0EBjD2glm\nJhCVUwVFExX8zC5LmTR4h8DmBBxUOPbkeSxJwZvotdde07M/sLfBjfHuu+8WzI4gwqgKiJaM\nY5K8kAeeCBx11FGOnkV2BWFWCYbXFBIggdwI0IYjN26huQrGkLhBYSkANy4jHTt21LMe6RuB\nmfNu3nFThMA1FUsAEBib4okdyy1WgTErZj9wc4WxKp4U4R2CzdpKKbAfgeEmlkww22Enal8a\nvVySHjwtPS/6g1glUKbSZ5TS8+Iz4oaAHaboMT4YJyNQDo1xKo6NwB4GbscIfEbJnQAMhM13\n1m0p2M2YQgIkkDuBcuomUDInckSghFuhU5Cl3LsV7Cuxzo8na8SNSPcogdsq4il4NWJz02PY\nGCxbtkzf6GAnUCjBND9cQjHrgVkALDU4Cbw8sFygwtpnzGeuR+wHeMdg/xU3Am8LGG/iZh4F\nwZIKgoPhyRrKBhS1sAlsdBADBspvUIQeKUEZCbYjTgQKNsOB+AGYQjeudLipYJoaQaY6dOig\ngykhQqVVjj76aOtHHisCXozXvAKDcpceQ8NrGXb5oWi49TSBB0euHjB2daenwZ3VLoZGer6w\nfIbyhlmofGaiwtLXYrWTykaxSLMeEkglkLfCAe8HGP1hOhhPuXjCRWRJGMQhJgMEU9KYBoaB\nXLpbZGpz+AkzELApoPyPAOwnMs2YpHOCLQUCgVGCQwCzWoXY1bYQPaKyUQiKLIMEciPgPPft\nsjys1b/++ut6ZsO48cFAEcoGnqaHDBmijekQyjkuoZFdorPNhqUDr2vLtgVFIBGeGAiU5SXM\nN9xMYcxKCQYBeADBaNhLQDa/Wk5lwy+yLJcEXBKADUeuoqJE6q2b69Wrl1CbOiWLwWdVfUIZ\nZiXTsK21MoJLqJtIMi2uByoqp+ajbDjKIJg9e7Y+p2aLypyLUwK+JyqIWEK5fnrqtlqS0vwe\neOABT9cxc+EJqGi4eiyU/UbhC/dYIn6PvLw8Fs/sJEACLgjktaRiAjnBqA/7UkCQht00sUU5\n3M6MHHHEEXpZBTMdMBik2BOA2yOMSsEOMTKwBJUeiwFXYqnBGv/CWhqe5OAt4vWJzlpGKY8R\nYAvLbwiPjoiaXgRhxjG7duGFF2pPEUzlc4nFC8H888Loeb/99tO7+cL7x4Rrz7/k3Erw+n+g\nfjdzq4hXkQAJZCSQl8JhNppq0aJFshKzxwc2fYJbnxGzN0f6duDmPN//JgCbGNjAIOw1lAo7\nhQOBqjItvSBQFTZbC6PAqBQby5lw4F77ADsi2A0hRgg8c7zYgHiti/nLEoDNBjxS4FVTavZU\nNsqOD1NIoFQE8lI48IMCQTRLI0bhOPLII02SfjdboWP/B0p2AnBbRRAtJxkzZozTKZ2OmBJB\nWDfP2EgfT+JGA9sBvCjxJEBlI57jzl4Hl0BeCgemSjGLgVDM2CEUsQJgJAYx4arh5olpcWWb\nINjYyygpwUUSjpaZGSOn1mIX1jgrHE5cmB4PAlQ24jHO7GW4COSlcOCmhyiJiB5p3Uob+0RA\nuYAgFDSUDQjylXqKVTckAn/Wr1+fsReFDOyVsSKeJIGAEaCyEbABYXNI4C8CeSkcKAMuiHB/\nffzxxwU3we7du2tXWEO4Vq1aOmgRwjP369fPJPM9TwLZFAoEv6KxZJ6QeXnoCFDZCN2QscEx\nIpC3wgFW2GPCaZ8JGP9hu3LObBT2W5UtIikDrBWWN0sLPgEqG8EfI7Yw3gTyDvyVDR+MRKls\nZKPk/Xy2GQ4ThM17ybyCBMJHgMpG+MaMLY4fgZxmOOCmCbsMbMUNt8OmTZtqG45shozxw+tf\nj1VwNR3rBPE40gX72XCGI50KP0eVgFdlI1d366jyY79IoFgEPCsc2CelZ8+eSW8U01BsLnXv\nvffKsccea5L47iMBuL1im/d0QcC1Hj16CDZJo5BA1Al4VTYY1Cvq3wj2L8gEPC+pIDaEcX2F\nsejBBx8siO74/fffC26C8+fPD3J/I9O2PfbYQ5566inZaqut9LbwWLbCrq2YbRo5cmRk+smO\nkAAJkAAJRIOAJ4UDIYtnzpypbTLGjx8vP/74ow5BvXTpUh2kCrucwk2WUhwCiPQK5ps3b9bR\nSPG+ePHiwOzMWRwKrCWOBDCz4WV2AzMbnN2I4zeFfQ4SAU8Kx/PPP6/bjh1isSsnbAUgCGN8\n3333aUVk2rRpOo1//CUwZ84cueSSS8pUAmNRrlGXwcIEEiABEiCBEhPwpHCsWLFCN7d9+/Zl\nmq12g9VRRBH/AS+KvwQGDBjgWAFCzWdzm3W8mCdIIOAEvMxsoCuc2Qj4gLJ5sSHgSeEwrpZO\nIbNN2HIssVD8JbBs2bKMFcCDiEICUSNAZSNqI8r+xImAJ4XDuGA6xdXAVuAQ7BZJ8ZdA1apV\nM1bQsmXLjOd5kgTCRoDKRthGjO0lgVQCnhSO1Ev5qZQEDjvssIzVcxo5Ix6eDBkBKhshGzA2\nlwRsCFDhsIEShiTEPXGaaUL7EZyNQgJRIEBlIwqjyD6QgEhOCgduZnYv81Rtd86kEXphCHTp\n0sXWLRA/zo0bN9aeQ4WpiaWQQOkIUNkoHXvWTAKFJuA50igacOSRR2ZsR+vWrR3PG6XEMQNP\nuCLQoUMHOfTQQ+Xtt98uk3/48OFl0phAAmEjQGUjbCPG9pJAZgI5zXBkLpJni0EAkV3tPFEQ\nG2XMmDHFaALrIAHfCFDZ8A0tCyaBkhHwNMNx1113ybXXXluyxrLivwk8/fTTtjYciDb6+OOP\ny4gRIxhx9G9cPAoRASobIRosNpUEPBDwpHDsueeeHopmVj8JLF++XH7//XfbKqB0YJO92rVr\n255nIgkElQCVjaCODNtFAvkT4JJK/gxLUgKWTpzsYfCjXbNmzZK0i5WSQK4EqGzkSo7XkUA4\nCHia4TjxxBNl0qRJefUMT96U/AnMmjXLsRAoIggvjz1uKCQQBgJUNsIwSmwjCeRHwJPCsX79\nejHhzfOrllfnSyCb4vbdd99R4cgXMq8vCgGvykZRGsVKSIAECk7Ak8IxbNgwuf766103Al4U\nl112maxdu1Zf06tXL9fXMmNmAtttt13GDE2aNMl4nidJIIwEnJYRw9gXtpkE4kbAk8JRr149\nV3ywl8rVV18tt99+uw4QBnuCe++9V3r27OnqembKTuCLL77ImAkb6Lkdr4wF8SQJ+EjAy+wG\nlQ0fB4JFk0ARCHhSONy0Z/r06dK/f3+ZN2+ezn7CCSdoF00aMbqh5z4PlrcyyYwZM6hwZALE\ncyUl4EXRKGlDWTkJkEDBCBTMSwUumoMGDZI2bdpoZaNGjRoyduxYGTduHD0mCjZcfxeUzeX1\n6KOP/jszj0ggxAQws8HZjRAPIJtOAn8RKMgMx8cff6xnNebOnauLPf744/WsRq1atQjaJwIH\nHHCAfP31146lZ9rYzfEiniCBIhDg7EYRILMKEggggbxmODZt2iRXXHGFHHLIIQJlo3r16oII\nmM8++6xQ2fB3tL/55puMFcyfPz/jeZ4kgVIQ8KpscGajFKPEOknAHwI5KxywETjwwAPlxhtv\nlD///FOOPfZYgSFj7969/WkpS00hULdu3ZTP6R8aNGiQnsTPJFBSAl6UDS6jlHSoWDkJ+ELA\ns8KBWY2rrrpKsCMsFAzMajz55JMyYcIE2XnnnX1pJAstS2DLli1lEy0p2dxmLVl5SAK+E/Ci\nbPjeGFZAAiRQEgKeFI6ZM2fKQQcdpGNxYFajR48eWuno06dPSRof50rttqW38rDbSdZ6nsck\nEFQCXEYJ6siwXSSQHwFPRqPXXHONzJ49W9eIJxa4wGJZxYtg0zFK/gSyzXD8+uuv+VfCEkgg\nTwJeZzaobOQJnJeTQIAJeFI4rP3ADwPCZ1NKQ6BFixaSaZajS5cupWkYayWBvwh4UTaoaPBr\nQwLRJ+BJ4bjtttvkyiuvjD6VEPQQy1uZBHFRttlmm0xZeI4ESIAESIAEikbAk8Kx9957F61h\nrCgzgXXr1mXMcPPNN+vw8hkz8SQJ+ESAsxs+gWWxJBBiAp6MRkPcz8g1PVtgr8MOOyxyfWaH\ngk8AioZbZWOHHXbQAQKD3yu2kARIoBAEfFM4li1bJm+++abAjZZSeAJdu3bNWGjHjh0znudJ\nEig0AbeKhql3zZo1MnDgQLnnnntMEt9JgAQiTCAnhWPVqlXy2GOP6WBfsBWwyvvvvy/77bef\n7L777tKpUyfBnip9+/YVek1YKeV/nC3S6ObNm/OvhCWQgM8E8D2FXRi/rz6DZvEkEAACnmw4\n0N4lS5boWBxQOiB4r1Onjj7+/vvvBbvD4h1PO/XUdvaLFy+Wp556Sn777TcdHCzbUoAuiH+y\nEli0aFHGPC+++KIcd9xxGfPwJAkEgQAeRvC70rBhwyA0h20gARLwiYCnGQ4oDQj2BSWjSZMm\ncuutt8r222+fbFq/fv20srHHHnvoHxBsLoYbIxSPF154QW644YZkXh7kR2DbbbfNWABmmSgk\n4DcBY7PhZjkl03d2p5128rupLJ8ESKDEBDwpHCNHjpTPPvtM2rZtK9gh9pJLLpEqVaroLnz1\n1VcydepUfYx8WFKBYE+Pxx9/XB+PHz9ev/NP/gQGDx6csRA+LWbEw5MFIOBGybBWY7dsUrFi\nRb30SoXDSorHJBBNAp4UjlmzZmkK1113nVSuXDmFyMSJE/VnzGYceeSRKefgMQGL9Dlz5sjG\njRtTzvFDbgSGDh2a24W8igRKRABLq1AwKlWqpN8RJ2a33XaT0aNHl6hFrJYESKCYBDzZcGB2\nA4L9VNIFHikQpwiXWIKBQennn38uLVu2TL+cnz0SgIV/JkEYeiiGFBIoNQFrFFHMhI4dO1ZW\nrFihjcuxuzQD1JV6hFg/CRSHgCeFA54RFSpUkGrVqqW0Dhu5mTDb8Eyxkw0bNuhkswRjl4dp\nhSOQ7j1UuJJZUtwJuF1KsSoahhnsuy677DLzke8kQAIxIuBpSaVRo0YC5eKnn35KQQR7jtWr\nV2vPlMMPPzzlHD4gFge2st96662F0UrL4MkpoWrVqhmvu+mmmzKe50kS8ErAGIh6vY75SYAE\nSAAEPCkcBxxwgKb2xhtvpNCbMGGC/oydY2vWrJlyDh/eeecdrXRA2cAablAFrnljxozJ2Lxv\nv/1WXnrpJQGD9evXZ8zr50kwpZAACZAACZBAWAh4UjjM7MUVV1whcHmFTJ48We677z59fOqp\np+p36x/MhgwYMEAntW7d2noqUMdr164VRO88++yzHdsFu4j69etL9+7dBSzgEnzLLbc45vfz\nRJs2bTIWj/5QSKBQBNwuo5j67JZTzDm+kwAJxJOAJ4UDBl5QHqBs7LXXXjrg1xFHHKGjiMJ2\n46yzzkpShL3H9ddfL7gxYlYAsxuI2xFEwXJQr169ZN68eY7Ng2I1ZMgQ6datm2Cn1o8++kg6\nd+4sl19+uQwbNszxOr9OGJsYp/Kxsy+FBIpJAEqGeRWzXtZFAiQQDgKe1zcwmwGbDESyRERR\nRA7t0KGDjiIKGw0jCH2OGQHIjjvuqJchrEHCTL5Svz/33HNy3nnn6b5Y229tFwKenXnmmbLr\nrrvKuHHjtOEszoMBFCnMcpx77rnJdOu1fh2D+5YtWxyLh2JEIYFCEPA6u1GIOlkGCZBA9Ah4\nmuFA9+HC9sQTT2jD0WnTpmn3NgT8SlcmEPhr//33lwsvvFA+/fRTPSMSNHyvvvqqDv8NBQqR\nUJs2bWrbRHjgwL7j5JNPTlEqoKBgnxjM4Lz22mu21/qVePrpp2cs+uCDD854nidJIBsBGolm\nI8TzJEACXgh4VjhM4bjZHnrooVK9enWTlPLev39/rWjceeedyaijKRkC8AEGrFdddZUsWLBA\n22U4NWn69On6lF38EJM2Y8YMp8t9Sc+0PIUZJQoJ5EPA66wGbTbyoc1rSSAeBDwvqUQJC4KU\nOQUqs/bzxx9/1B/tlCsTknn58uXWS5LHmD1JdyP++eefk+dzPWjRooXjpbBJoZBAsQhQ2SgW\nadZDAuEmUDCFA4aUCxcu1PYdmX6ATjnllNARMx4fNWrUKNN2o3A4uci+9957eq+IMhfmmbB0\n6dKMJcCGxs5rKONFPEkCioCb2Y1M/+OESAIkQAJ2BPJWOJYtWybHHHOMmH1W7CqxpoVR4cDe\nDxA7I00EQoMgAqudIC5J+jbxsPkwyzR217hJw3LQH3/84ZgVoeQpJJALASgTbpSOXMrmNSRA\nAvElkLfCceKJJ2plAzYdiESK0MVO3h5hxVynTh3ddLulEJOWbjRr+rrvvvtK+i658HSBG24+\nctppp8m9997rWASNRh3R8IQNASoYNlCYRAIkUFACeSkc8NzAhmxYanj99delefPmBW1cUApz\no3DAZbaYMnz4cEeFwwRaK2Z7WFd4CXhVNricEt6xZstJoJQEcvZSQaPN7rF4Wo+qsoF+Nm7c\nGG/JDer0h7/+mE3rjLeK9ZyfxyeccIJj8aNGjXI8xxMkYCVAZcNKg8ckQAJ+EshL4TBP/lhG\nibK0b99emjVrprfVNgak6O8vv/yi07DHTLt27YqKIH2ZJr3yKVOmpCfxMwnkRAAzGuaVUwG8\niARIgAQUgbwUDtxot912W3n33XcjD3Pw4MHyww8/SMeOHeXZZ5/VEUdxDJfXhx9+OHCb0t11\n112RHxN2kARIgARIIDwE8lI4ttpqK0FgL+yeOmLECP0UFJ6ue2tpnz59dITVxYsXS8+ePbXR\nJ2xYRo4cKdglN2hChSNoI8L2kAAJkEC8CeRlNIoNxKB0wCMC+5FA+YC9wy677OLoJgrFJKiC\nWCKZ5KSTTtKhzBctWiS///67NGzYUId6z3SNX+eGDh2qo6Q6lY+2UUjAjoDVbiObCywNRO0I\nMo0ESCAXAuXUD0oilwtxDTZvM3YcbsvIozq3VQQ+n3GLveOOO+Siiy7Kub1Yztq4cWOZ6zEu\ntWvXLpPOhHgTsCoabknw/9UtKeYjARLIRiCvGY5q1arJzTffnK0OnveBwIcffmirbKAqzDDx\nRuED9AgXie+LVSHh9yfCg82ukUCJCOSlcFSpUkUuu+yyEjU93tUecsghGQHAmwYKIYUEQMCq\nTNgRwXkqGXZkmEYCJFAoAnkZjRaqESyn8AQQbp5CAiRAAiRAAkEhQIUjKCNR4HZ069atwCWy\nOBIgARIgARLInQAVjtzZlfTKbKHUL7744pK2j5WTAAmQAAmQgJUAFQ4rjRAdY8dZJ+ncubPT\nKabHlEA2+4xs52OKjd0mARIoIAEqHAWEWeyiEPHUTiZPnmyXzLSYEIABqN3LSalwSo8JLnaT\nBEigSATy8lIpUhtZjQMBpw3c6HHgACwGyRh7J+H3wokM00mABIpBgDMcxaDsQx2Zbiw+VMci\nSYAESIAESCAvAlQ48sIX3ItbtmwZ3MaxZb4QoBLqC1YWSgIkUCACVDgKBDJoxdSvXz9oTWJ7\nSIAESIAEYkyACkdIB79ChQoZWz527NiM53kyegRo/Bm9MWWPSCBKBKhwhHQ0N2/e7NhybOpG\nIYF0AlRI0onwMwmQQDEJUOEoJu0C12V3A2nUqJH89ttvBa6JxYWFgN13Am13Sg9Lv9hOEiCB\n8BOgW2z4xzClB+XLU4dMARLBD07GoUapMO8R7Dq7RAIkEGICvDuFePDsbjzz58+XbPYdIe5y\n7JtuN+YGSqZzJg/fSYAESKBUBKhwlIp8nvVmurls2bIlz9J5OQmQAAmQAAkUlgAVjsLyDExp\nbdu2DUxb2BASIAESIAESoMIR0e/A3LlzI9ozdosESIAESCCMBKhwhHHUXLR59erVLnIxCwmQ\nAAmQAAkUhwAVjuJwLngty5YtK3iZLJAESIAESIAE/CJAhcMvsj6XW7duXXHaLZZukT7DL2Hx\nmcY207kSNplVkwAJkIAmwDgcIf4ijBs3LsStZ9NzJUDFIldyvI4ESKCUBDjDUUr6rJsESIAE\nSIAEYkKACkeIB/qxxx4TxONIf4W4S7FvevpYms+xB0MAJEACoSdAhSPEQ9i/f3/b1uMmRQkf\nAY5b+MaMLSYBEnBPgAqHe1aBysmbU6CGw/fGcLx9R8wKSIAEfCZAhcNnwKUqvlq1aqWqmvXm\nQIAKRQ7QeAkJkECoCFDhCNVwuW/s9ttv7z4zc5IACZAACZCAzwSocPgMuFTFMzBYqcjnVi9d\nXXPjxqtIgATCQ4AKR3jGKqWlvEGl4Ij8B4535IeYHSSByBOgwhHiIba7CcEWwC49xN2MTdOd\nxs0pPTZg2FESIIFIEGCk0ZAPI29GIR/AtOZzPNOA8CMJkEBkCHCGIzJDyY6QAAmQAAmQQHAJ\nUOEI7tiwZSRAAiRAAiQQGQJUOCIzlOwICZAACZAACQSXABWO4I5N1pbdf//9ZfZRYQCprNiK\nngFjkv4qeiNYIQmQAAmUmAAVjhIPQD7Vn3POObaXU+mwxVKSRKexcEovSSNZKQmQAAkUgQAV\njiJA9qMK3rD8oFrYMrONUbbzhW0NSyMBEiCB0hKgwlFa/r7V3qxZM9/KZsEkQAIkQAIk4JUA\nFQ6vxEKSv169eiFpKZtJAiRAAiQQBwJUOEI6ytmm41966aWQ9ozNJgESIAESiCIBKhwhHdUt\nW7Y4tnybbbZxPMcTxSOQLWpotvPFaylrIgESIAH/CVDh8J+xbzXY3bAaNWokGzdu9K1OFuyN\ngN0YoQSndG+lMzcJkAAJhIcA91IJz1jZtpQ3LlssgUrkGAVqONgYEiCBEhHgDEeJwLNaEiAB\nEiABEogTASoccRpt9pUESIAESIAESkSACkeJwLNaEiABEiABEogTASoccRpt9pUESIAESIAE\nSkSACkeJwLNaEiABEiABEogTASoccRpt9pUESIAESIAESkSACkeJwBeqWgT5QtRR83r22WcL\nVTTLSSNgGJv3tNP8SAIkQAIkkIEAFY4McIJ+Cje+TZs2pTSzZ8+eUr9+/ZQ0fsiPgJOCgXQK\nCZAACZCAOwJUONxxClyuChUqOLZpyZIljud4orAEqHQUlidLIwESiC4BKhwhHdtMe6mgS5jp\noJAACZAACZBAUAhQ4QjKSBS4Ha+++mqBS2RxJEACJEACJJA7ASocubML9JXz588PdPvYOBIg\nARIggXgRoMIR0vEePHhwxpbXrVs343meJAESIAESIIFiEqDCUUzaBazrhhtukCpVqtiWyN1J\nbbHknJiJZ6ZzOVfIC0mABEggggSocIR4UH/99VfBDW+fffaR8uXLy7hx4/TnEHcpsE0HZ6ty\nkf45sA1nw0iABEggIAQqBqQdbEYeBObNm5fH1bzUCwGr0uHlOuYlARIggbgT4AxH3L8B7D8J\nkAAJkAAJFIEAFY4iQGYVJEACJEACJBB3AlQ44v4NYP9JgARIgARIoAgEqHAUATKrIAESIAES\nIIG4E6DCEfdvAPtPAiRAAiRAAkUgQIWjCJBZBQmQAAmQAAnEnQAVjrh/A9h/EiABEiABEigC\nASocRYDMKkiABEiABEgg7gSocMT9G8D+kwAJkAAJkEARCFDhKAJkVkECJEACJEACcSdAhSPu\n3wD2nwRIgARIgASKQIAKRxEgswoSIAESIAESiDsBKhwh/waUK1dOrK/KlSuHvEeFab6ViTku\nTMkshQRIgARIIBcCVDhyoRaQa3AjTZcNGzZoBSQ9PU6f7big/07pcWLDvpIACZBAqQhQ4SgV\n+Tzr5c3THmA2LtnO25fKVBIgARIggXwJUOHIl2BAr2/dunVAW8ZmkQAJkAAJxJEAFY6Ijvpv\nv/0W0Z6xWyRAAiRAAmEkQIUjjKPmos2ff/65i1zMQgIkQAIkQALFIUCFozicC15LIpEoeJlR\nKDAbl2zno8CAfSABEiCBIBKgwhHEUXHZptmzZ5fJCaPIuN9UnfrvlF4GIhNIgARIgAQKTqBi\nwUtkgUUjsO+++8ZeuXCCTeXCiQzTSYAESKA0BDjDURrurJUESIAESIAEYkWACkeshpudJQES\nIAESIIHSEKDCURrurJUESIAESIAEYkWACkeshpudJQESIAESIIHSEKDCURrurJUESIAESIAE\nYkWACkeshpudJQESIAESIIHSEKDCURrurJUESIAESIAEYkWACkeshpudJQESIAESIIHSEKDC\nURrurJUESIAESIAEYkWACkeshpudJQESIAESIIHSEKDCURrurJUESIAESIAEYkWACkeshpud\nJQESIAESIIHSEKDCURrurJUESIAESIAEYkWACkeshpudJQESIAESIIHSEKDCURrurJUESIAE\nSIAEYkWACkeshpudJQESIAESIIHSEKDCURrurJUESIAESIAEYkWACkeshpudJQESIAESIIHS\nEKDCURrurJUESIAESIAEYkWACkeshpudJQESIAESIIHSEKDCURrurJUESIAESIAEYkWgYqx6\ny86SAAnEmsCXX34pL730klx66aVy+eWXx5pFITtfvnx5qVSpkrRp00Y6d+5cyKJZVoQIUOGI\n0GCyKyRAAs4E3nrrLenYsaNcf/310q1bN2nWrJlzZp7xRKBcuXLy22+/yQ033CCPPvqoPPHE\nE56uZ+Z4EKDCEY9xZi9JINYE5syZo5UNzHA0atQo1iz87Py//vUvgfJx2GGHyVlnneVnVSw7\nhARowxHCQWOTSYAEvBF48skn5a677qKy4Q1bTrl/+uknufvuu2XLli05Xc+LokuACkeOY7tk\nyRIZM2ZMjlfzMhIggWISmDdvnjRp0qSYVca2rurVq0vFihXl119/jS0DdtyeABUOey4ZU9eu\nXStdu3aVs88+O2M+niQBEggGgR122EFP9QejNdFvRSKR4AxH9IfZcw+pcHhEtnr1aunVq5fg\niYlCAiRAAiRAAiTgjgCNRt1x0rmee+45Oe+88+T777+Xrbfe2sOV/mWFgZZV8CQHpagUkt4W\ntAFPOhQSCDIBfEfnzp0r2223neyxxx62TV21apX88MMPsvvuu0vVqlVT8vzxxx/y1VdfCZYS\natWqlXIOH1auXCkrVqwok25NqFOnjuy4447WpOR1++yzj1SoUCHlXPoHU0ft2rV1O9LP4zN+\nt37++eeUUyh3++2319dk+01bs2aNLF68WJo3b55SBj+QgFsCnOFwSerVV1+V4447TjZt2iQv\nvPCCNG3a1OWV/mWzu8HjR8Eu3b9W/K9kpzqd0v1uD8snAbcEoDDsu+++GZdIR48erfO8+eab\nKcXed999UrNmTW0fsvPOOwuUg3fffTclz/3336+vRR1Or/HjxyevWbZsmRx++OFaeUF+PESc\neeaZgnY6yUknnaTLhpeIk8AdOL3+xo0bC5SdnXbaSfr376+VHLvrUfcxxxwjvXv3tjvNNBJw\nRYAzHK4wiTaCuuqqq+Siiy7S/5zXXnutyyv9yRakG3mQ2uIPbZZKAmUJwNX2/PPPl3/84x9y\n4YUXaiPJm2++WY444gh555135KCDDkq56LLLLpO99947Jc18OPTQQ82hXHLJJTJr1iy59dZb\ntSvviy++qGOH4GHimWeeSeYzB998841MnTpVzzwgqNny5ctl1113NafLvA8dOlR22WUXnQ5P\nkl9++UVeeeUVeeyxx2TRokUCpQpGn0Y2bNigXVzRp7322ssk850EPBP4+1vl+dJ4XdClSxfB\ny6vMnj1bBg8enHIZpjb9lho1agjc04IgUEi4tBKEkWAbCkngiiuu0MsrTz31lFSrVk0Xveee\ne8r+++8vSEtXOP75z39Khw4dMjbhk08+kXHjxgkeaKB4QFq0aCH4HZkwYYJeLk1feoGiABk5\ncqS0bNlSHnzwQX29TrT5g5lazGxY5eKLL5ajjjpKMJM7Y8YMad26tT799ttvC2ZNsJSSvpRk\nvZ7HJOCGAJdU3FDKIw9u+nh6sL5mzpyZR4nuLsWaM4UESMAfAlCgzznnHK1YGGUDNcH1FrYQ\nuT5UwA7kkUce0bZi1pbDbuLPP/8ss+SBdowaNUorGgcffLB+f+ihh2Tz5s3Wy7Me46EA0Vch\n1t+nTp066aWcN954QytSWQtiBhLIQIAKRwY4hTiFiHu4+Vtf+EHxWzij4Ddhlh9nArhBY8YC\nLyO4yWMZBHZePXr0MMme3uvVq6dtKaB4GEHMH4QLx6xEepRUKAI436dPH5395JNP1ksqWIbx\nKsb2BIanRmB/smDBAmnXrp1J4jsJ5EyASyo5o3N3IdZCYZBlFVjD5ysIOgZDsSAIlJtMdhxU\nfoIwSmxDNgIfffSRDsltl++7776zS06mweDy+eef1/YQI0aM0K7zyZN/HWDJA0sW6dK9e3dp\n27ZterJAmfjPf/4jn376qbbPwCxpuuDhZauttpK+ffvqU3jHUgwUBSyduBEoShMnThQYruK3\nqn379snLzjjjjOQxD0ggXwJUOPIlWKLrzQ+L3dRtkG7wQWpLiYaK1YaEAAwof//9d9vWZlqi\nwHccG5cdeOCBgg3iHn/8cb1rKmw5rPL0009bPyaPYeBpp3DADRdLNDACnT9/vl46wS63UDAg\nMCKFXcfRRx8tsNmCYGYESyNIh6tuw4YNdbr1D2ZdjVEolmngKou+wzbk4YcfdnSrtZbBYxLI\nhQAVjlyoBeQa61MX9oowTzmlaJ5VsaCRaClGgHXmS+CQQw6xnYFAudiHBR5qdoLvu/EegZcH\njEWx1AJFwTrzN2XKlJTZA1OWU4wN/D/jBZfUQYMGyZVXXqlnIEyEY/zPb9y4UccPwYyGkSpV\nqmgjbaTddtttJjn5jn4auxMoHlB4sJRz/PHHU9lIUuKBHwSocPhBtQRlllLZSO+uVflIP8fP\nJBBlAvBSgR3F8OHD5eOPP9ZGnKa/UCzMzIJJc/OOGQ3MbNxzzz0C2wyjcBhbMMQIwStdYPcB\nF9hKlSqlnLrlllvKeKmkZOAHEvCJAI1GfQLLYkmABKJLAN5nAwcO1LEr0ntpYmBghsOrwJ0W\n9iDr1q1LuRTBv2D7Zcr8/PPPBS602AIeyyLpL8T8gKE6XGwpJBAUAlQ4gjISbAcJkEBoCEAB\nQPwLGGjCfsMIZvdgB1G+fHmBm6pX+fbbb3W51iUSlPHss89qmw0TH8PMbpxyyim6LtRnfZ1+\n+um6akRCpZBAUAhQ4chxJOCrnv4UkmNRvIwESCBkBLA0cvXVV+vgej179pRJkyZpQ83OnTtr\nY00E+6tbt67nXkFRwH4tN910kyBqKYJwoSxEMoVh6LXXXqvdbp944glp0KCBNk61qwTus4he\n+sEHH8hnn31ml4VpJFB0ArThKDpyVkgCJBAFAnBZhVx33XXarRTHMMa888479XILPnsVuKVO\nnjxZL5XAUNRIx44dtasrQpJjmQTLJdhIMpOcdtppel8XzHKkz5hkuo7nSMAvAuXUFCC38/SL\nrkO5+MHAFvd33HGHo+W7w6VMJgESyIHAgAEDdNwazEAUWuAyCxdUzHpg1gFLG4UQKBXYyK1+\n/fp6R9dClFmsMpo1aybTpk3TG88Vq07WE3wCnOEI/hixhSRAAnkSgMcG4mL4oXBA0cAusYUW\nxNSwRhwtdPl+lgd34EIpXn62k2UXl0BhVPHitpm1kQAJkIAnAthobfXq1Z6uYebcCKxcuVJf\nWIiIyrm1gFcFlQAVjqCODNtFAiRQMAKnnnqqDBkyREfsLFihLMiWAAKLIVw7Zzhs8cQ6kUsq\nsR5+dp4E4kEAXhvYmwSbqiFIHjw+KleuHI/OF6GXsDUB03PPPVduv/122qYVgXkYq6DCEcZR\nY5tJgAQ8E4Cnx8svvyzYBO2LL74IvH0E9knCJo3YowXbxAdZvvzySznggAP0XjLWzd+C3Ga2\nrfgEqHAUnzlrJAESKBEBbGb273//u0S1e6sWMTQeeughHR4dy0EUEgg7AdpwhH0E2X4SIIFI\nEsAOrhDaQkRyeGPZKSocsRx2dpoESCDoBIzC4bSbbNDbz/aRQDoBKhzpRPiZBEiABAJAwCgc\nnOEIwGCwCQUhQIWjIBhZCAmQAAkUlgAVjsLyZGmlJ0CFo/RjwBaQAAmQQBkCVDjKIGFCyAlQ\n4Qj5ALL5JEAC0SRAhSOa4xrnXlHhiPPos+8kQAKBJUCFI7BDw4blSIAKR47geBkJkAAJ+EmA\nCoefdFl2KQhQ4SgFddZJAiRAAlkIUOHIAoinQ0eAkUZDN2RsMAkUhsCGDRsE0Szvu+8+adWq\nlVStWrUwBbOUJIHNmzdLs2bNpG3btuI1noYbhWPRokXy4YcfyiOPPCK9evVK1suD3AjABblW\nrVrSrl072XHHHXMrhFc5EqDC4YiGJ0ggugR+//13vZdIhw4dZPny5VK3bt3A7y0SxtGAUvfC\nCy9ItWrV5Omnn5aKFd3/5GZTOIYNGyaXX365DtU+Y8YMwV4xlPwIQOEAy0GDBslLL70kCIVP\nKRwB99/+wtXJkkiABEpIAE/dXbp00VuI4yZI8Z9AixYtZP/995fZs2e7DlWeSeEYO3asDBw4\nUNasWSPbb7+93Hjjjf53IkY1YJO/vfbaS77++mupX79+jHrub1dpw+EvX5ZOAoEjgG3ad9hh\nB/3EHbjGRbRBn3zyiZ7dmD9/vuse/vnnnzqvXaRRzG5gOQzKBqXwBI4++mj573//K0899VTh\nC49xiVQ4Yjz47Ho8CcyZM0eaNm0az86XsNfYtn3hwoWuW5BphgPT/q1bt3ZdFjN6J4DlxgUL\nFni/kFc4EqDC4YiGJ0ggmgSqVKkieFGKTyCRSLiuNJPCUbt2bTHnXRfIjCRQYgJUOEo8AKye\nBEiABOwIGIXCbknFLj/TSCDoBGg0GvQRClH74EYGIzYjMEjs3bu3+VjU99NPP127CppK4SnQ\nvXt38zGnd7g1mpsAvA5++eUXV+Wce+652vXUZB4+fLicd9555mPK+8qVK7VbnkmsUaOGIC1d\nypUrl0zCsWkXEtevX69d+v744w+dp3PnzjJ58mR9PGLECF031qedBPWtWLHC6bROr1Onjq3b\n4BdffKGNIhs3bmx7Pdpkpqlr1qyZ0tf0C+bNm6f7tcsuu8hOO+2UftrTZ3wvFy9eLM2bN0+5\n7scff5SffvopJS39A/g2adIkPTn5GUtUmHHAWHmVt99+W959910949StWzfZc889dZ8nTJgg\nd955py5u2rRpgu9z5cqVXRVfSMbmu4D+Va9e3bb+H374QVatWlXmHDxy8H+Ca63f1zIZVcKm\nTZtk+vTp2mMKDDBO6W7EmB2aO3eubLfddrLHHnvYFaPbgfbsvvvujm7e+YyXbaVMdE9ADSKl\nyASeeeYZzKsm7rjjjiLX7F916I/dS/3g/H97ZwJ9VVX98UMpYmoGVoRkmZlYDpkpqWlOJQ6V\ngk0ijllq6tLKoZRwqeUSy5VZmiYmKrJKNExTyJxLC1EcmgSHwInMggQlzfT+9+f8O7f77rv3\njfe997uP717r/d69Zz7ffX/v7LvP3vt0rtOclu2HLnMsm266aU6N2sm2UGW2x3zr0eDBgzPr\nmtFmVVUTiDLLpvvJwjmUueiii3LbsAU+zjOBo6r/kHD66afH5fL6uvjii0Px+Puuu+6K6z3w\nwANxevLC4kbEZfbYY49kVsW12TrE5c4991yfd9BBB8VpWeMyIaiijXBji1lkcRUi8zoISfH3\n8ccfX7NN+ll11VXj8umLG2+8MTINRHTllVems6rujznmmGjmzJk+nTGZYWJki2o0ZMiQaPXV\nV/ftnHXWWdHGG29cNSYzDo1soYzbtAU3MqPS+D550Q7GyXa4Nm8mP5Z99tknnRXff+UrX6ka\nb5I/JohFV1xxRVw+eWFCRrTLLrv4+SfrwKvrrrsuWTQyV27fz+67716RnrwxIc2XsReMZHJ8\n3Qy/brnllohnTlQcAtJw2FMuag+BvDcfWl22bFl7jTdZe9KkSQ63zyzizaYVquUWx5ub/Ttm\nNouGhze3LOKNmw/eIoHsBzZcVn3zdrtixYqab4r13iKzNCVVHSUSTjzxRDdq1KhEyv8ut99+\n+//d/PeK4FMbbLCB1xhceOGFFVqddGG2CW6++Wa3dOnSTE1JlrvumDFjMt+y0Zjgxrjtttum\nu3HEwTj88MPdnXfe6d0cqwr8N4HnJu+tOW9LwwQst99++1Vol/LaT6ebUOduuukmhydK8Eah\nDPEfsghtmi20buHChVVv/lnlSWsF42RbixYtcrboem0DMSmI1zJy5MhkkYprNHdoJwIxZupT\n94ADDvDJEyZMCNnuwQcfdPAUjcWRRx7pTAD11zfccIPXTo4bN85dc801bWsmQ4ft8Cu0oe82\nEShOdlFLjSLQbxoOewRrvuHwZt0tqjcWWxCbHkq9NvMarFcv+eY8derUmhjSFlSvzUbzG9Fw\n3Hbbbb7PRv688MILkS0c0bHHHhsdeOCB/tqEzaqq4e0bjQNjNSGlqgwJ5kUTbb755r5M0HBk\nFbTtg8hiXEQmGEW2wFUUuf322yML3OS1CBZFtaaGw9xWK+rWumGuFgPDayTQVDGPZjUcFs2y\naV6iSbHtFz+0RjQc7WJ82mmn+TmihWCOp556aiYsQcNx//33Z+YHzZcJF3E+zwG/C+CHBjFN\nJiBGJkBHFpAuQhsEtarhaJVf0nCkudL+vYxG7T9J1FkEmn2z7uRonnzyyU4231TbwcaCSmgE\nykwmRDv7YfdvqZ/73Of89bRp03KntPXWW/uAStRLE5oobEHQHtQjAl7NmzfPvxFjL5AkU9U7\nMCbuCEG3iiLbCnW8zX/xi190tlXQUrNLlixpuh4ai3q2NclG28HYlhZ36aWXutGjRzva4XvK\nlCm52sNkv+nr7bbbzg0fPtwRiyTQjBkzvG0SYfXXX3/9kBx/77DDDg4NG66pixcvjtNbuSiC\nX630qzrVCEjgqMZEKQUjgEq7W5Q2NEv3G1S76fRO3NvefM1mk2GTCeJUZmI7hTModt11Vx/F\nlAWmlhDF9g9nf6ByTy++bKewCGVtkSQxQiV/xhlnuMMOO8yxqKWJ/tlu4VyMIolzURCKWCzN\n9qKlps1Oo+l64VyWRiu2gzFCGts3QehjK4QtlVrbfnnjmjNnjsM4N7k9x/kvGJWybZJHZs/i\nBToMQNuhIvjVTv+q+z8EZMPxPyx01SICLBC81eZRrYUnr06r6fwo17JluOSSS5pumvZ448ui\nvH1/ymI/UGsszQSBOu6447K6r0hD2EraA1RktnBjBqhu1qxZVTXx9uFHPBCLOp4WX/7yl+Oz\nQligzjnnHHf33XdnCgPUxYNp8uTJ7tprr3WHHnpoaM5HQOV5qoUdhfG0Yb4nn3xyXDd58YUv\nfCF5W/OaxQ2vmSzCewT7iUBoTtol+tt7770r+IUGY7XVVvPPTVb7++67b9Nne7SKMQKkbfm5\n8ePH+6HwbQa2XojMExLMINNrpsLY8VzhGed/jra++c1vhix/4Bz2HmZUHac1eoEAgwYki555\n5pmq5CL4VdWoElpCQAJHS7CpUhIBftRw/Uy/qVLmiSeeSBbtyjUGaLx9pgk1fSuEy2nW4seP\nKG+Btcj2wZ3tfVcVyQqZjFCT1Q+GpcFFMq8MHQRj2aw2OA2WhZlFrlHKMtykLoaDSYED1Tt0\n8MEH++9wjcABH7K0D5TB9ZHzKthWCQIHETRtf98LsLXcjnnbZoHbc889vTYk7rjFC97cWfCz\niDfspMCRVabZtL322suZ3Yd3UQ4upZwqO336dG9kecopp1QII/vvv7/f0mi2n1YwxpgZt1zC\newdXXwzDEbxIf/TRRzMFH8acJp5djEEnTpwYuyS/9NJLXuMB71sh/h85fDCLwv9AVp7Seo9A\n9n9Y78elEZQMAX40WQzXW289P3K2UZL33ZwOsSboG8ED1f7555/v72vFUqg3PtrDo4L2UA1z\nn+eBkmwL74cwFs69QADhPk8jRB5v/Agz/CBzT79JIo0P6nyOlA/3oQz3HBLGfM2tz+ejwkYz\nQV6jQgdeJNhApD/m3hm68oviZZdd5j1N0GagzeKDxoNFir36WnEuEFZR3wdhFSGHGB71bC4Q\nctBuHH300fFY2rlg7HgBZX04kbUTxNyxyWAB583cXIk9z+gP7ZgZYfrzUpYvX+6wh6m3RZc3\nxmYxRuhBKMB7JPCTb6LT8vxwnUU8t/Pnz/fbTdi2oDHiFGL+B5LxT5gHzzZlWyG22ojZkfVB\nyyYauAhIwzFweVPKkfVCo5EHFIIHn6KItzWCCrVCzYwFgaARYYbFMY8s5kiFejtZjjfORgx5\n2aKpd5w6Wy7BqA8BL4sQDk444YSsLL+tgqrd4lN4LQenoGKMWYt4w0VNjw3MbrvtVqvogM9D\nq5J0JQ0DRuDcYostwm1b3wgczWDMdgqE0JBlFDt16lTfXloAYntxo4028nU5q4fxc94Lz9vc\nuXMrXGq33HJLv3WGMBq0KL5i4g9CM0KvxQDRia0JXMp8KQ1HmbmnsQuBHiPA4sSiifcPGofk\nh8WERQlbEN6MswjBCE3M1Vdf7e09nnrqqdhQMas8aXg7sJVl7reZW1B59VbW9GYwfuihhzy+\naCiTvAzXeI6gzURzVY/o9zvf+Y4XSLH7oI1AeL5AaFPyCCHdXG5b1oTktav03iEggaN32Ktn\nIVBqBNgOIOAWnimozhE8kh+2VMaOHettMkJo9awJ8waOt4pFL3VbbbVVpn1Asl4I4FaUBiDZ\ndr9eN4px0G4gzCV5Ga4JsQ5l2UhlYXfEEUd4ryW2P4IdEuUQaCzOijdEJbx7mngecMNl66Xs\nWqz03Fbme22prMzc19yFQBsIoG7HviMZPTLdHAsUBrIsUHkLB+6xGNZiC4KhaT3ijBWIN+ii\niFgN2OfkER4vrbiy5rXX7fRGMGYbD1sRosXmGfqyZUKUWWx0cEuuZ2vDPNFwwSt4jKaD9rEH\n4XwjBEwMaDHKDVFHLeCcjwFCGbbaEHZE/YGABI7+4KNmIQS6jgBvw4Rcz3OTZEC4JBJTI4TG\nzhokCzkLF+p83sTrEQd4sRjRblGEx0gtsjNFSi1wNIIxAgDbJXkHCwZ88ChC4ECIzDMgDWX5\n5mgAjKWx40GzEbRd8G/27NnegwXvF8KYQwgY2G2ceeaZFbE7fKb+lBqBQba3mr25WuppDezB\ns//JGwdvVbKqHti86sfR8caJ0SiuiqLuIWDh0L0AxmLaLrFYP/74433z9s8Jx9gBYRCMES3x\nSHpNeE9dfvnlDiNZUTEISFdVDI5qRQiUBgHeMPNibJRmEiUcaL0ouM1MiYPV+onQWKGFwYB4\nIAgbYBvsVvoJ517PRQJHrzmg/oVAlxHA5iIZZrrL3a+03aGRyHMBbRYUvDyyomo2247K5yNg\nh8o5YueIikNAAkdxWKolIVAKBHbccUcfMZLj0UXdQQDVPFoJO9m2kA532mmnOMheIQ2qkQoE\niHLLOT0EyxMVh4CMRovDUi0JgVIgMHToUB/dkrDghKTH86DVQ8hKMeEeDpJDywhehYsnb8xF\n4Xz22Wf79jhcDY0VUUFljtc+o4kDQ3j0Qw45xHvs7Lzzzu03qhZiBCRwxFDoQgisPAhgmEco\namw5cEUdMWLEyjP5Ls4Ubw4WL2KW5B0O1+pwCJoVzl4hFDkGl6L2ECByLjFIcM1FiyQqFgEJ\nHMXiqdaEQGkQ4MwS3BVF5USA8OeclcNHJATKgIBsOMrAJY1RCAgBISAEhEDJEZDAUXIGavhC\nQAgIASEgBMqAgASOMnBJYxQCQkAICAEhUHIEZMPRAwYuWLDA90oEu7vvvrsHI1CXQkAICAEh\nIATaR2DSpElus802a6ghCRwNwVRsIc4rgDg7go9ICAgBISAEhEAZEeB8nEYFDp2l0gMOL1my\nxB/ZTRQ7Qvr2E+H1wDHjHARVVJCjfsKnbHNZunSp/zHhCHpOcxWVH4GTTjrJcVgdIe7xVBKV\nGwFih2yzzTY+SNkFF1zQ9ckQPbfRcPTScHSdPc4NGzbMf3rQdce7XGuttXwfxBwYOXJkx/tT\nB51FYMiQIb4DAlaJn53Fuluth5ec4cOHi6fdAr2D/RCoDOLk5oH+Pyqj0Q4+CGpaCAgBISAE\nhIAQ+H8EJHDoSRACQkAICAEhIAQ6joAEjo5DrA6EgBAQAkJACAgBGY3qGSgUAfYT+WBENGjQ\noELbVmO9QYBzOl7/+tc7QmmLyo+A/kfLz8P0DMryPyqBI8053QsBISAEhIAQEAKFI6AtlcIh\nVYNCQAgIASEgBIRAGgEJHGlEdC8EhIAQEAJCQAgUjoAEjsIhVYPNY789AAASnElEQVRCQAgI\nASEgBIRAGgEJHGlEdN82AgsXLvSRDNtuSA10HYFGeEdkw+uvv97deuut7sUXX+z6GNVhNgJF\n8058zsa5E6m95F1X+RyJhECBCDz//PORhUuO1lxzzQJbVVPdQKAR3tlBTdEqq6wS2Y+u/5j3\nSjR58uRuDE991ECgaN6JzzXALjirl7zrNp9dwdipuZUYATsjJhozZoxfiCRwlOtBaIR3N910\nk+ft2LFjo3nz5kVz5syJ+X3eeeeVa8J9NNqieSc+d+/h6CXvesFnucV2Qj+2ErY5c+ZMd9RR\nR7nFixe7wYMH+8/y5ctXQiTKN+VGeLdixQq3ySabuFdeecUtWrTIx+Vgpv/+97/dqFGjfOwV\n1MLE6xB1D4GieSc+rxy86xWfZcPRveerb3uaNWuWGzdunF98OCWWhUlUDgQa5d0dd9zhECgm\nTJhQIVQgXI4fP96xDzx79uxyTLpPRtkJ3onP3Xk4es27XvFZAkd3nq++7sX29N3EiRPdggUL\n/BHJfT3ZPptco7y75557/MxHjx5dhUBIu/fee6vylNA5BDrBO/G5c/xKttxr3vWKzzqePvkU\n6LolBD72sY85PqLyIdAo75599lk/uXXWWadqksOGDfNpTz/9dFWeEjqHQCd4Jz53jl/JlnvN\nu17xWRqO5FOgayEgBDIRWLZsmU9/85vfXJUfBA65yFZBMyASmuFdM2UHxOT6fBDN8KNTZYuE\nWAJHkWiqLSHQpwgMGTLEz+y1116rmuGrr77q02QwWgXNgEhohnfNlB0Qk+vzQTTDj06VLRJi\nCRxFoqm2hECfIrDuuuv6mZkbX9UMQ9raa69dlaeE3iPQDO+aKdv7mfX/CJrhR6fKFomyBI4i\n0VRbQqBPEWjkx2zkyJF9OvtyT6sZ3jVTttyolGP0zfCjU2WLREoCR5Foqi0h0KcIWPRYPzPc\n6dIU0oK3Sjpf971FoBneNVO2t7NaOXpvhh+dKlsk0gr8VSSaassjsOWWW7pHHnnEKfBX+R6I\nWrzbfPPN3XPPPefmz5/v3vjGN/rJWVhmH/hrxIgRbu7cuQ53P1FvECiKd+Jz9/nXC971hM/d\nC+KqnlYWBD7wgQ/oLJWSMrsW76ZPn+5Dm9uPYzRjxozoqquuiijPeSr33XdfSWfcP8Muinfi\nc/efiV7wrhd81lkq3X+2+r7HWv88fT/5kk+wHu+mTZsWDR061Ase9h7or6dMmVLyWffH8Ivk\nnfjc3WeiV7zrNp+1pdJ97Zl6FAKlRsB+it1jjz3mXn75Zbfhhhu61VZbrdTzWZkG3wzvmim7\nMmHYq7k2w49OlW137hI42kVQ9YWAEBACQkAICIG6CMhLpS5EKiAEhIAQEAJCQAi0i4AEjnYR\nVH0hIASEgBAQAkKgLgISOOpCpAJCQAgIASEgBIRAuwhI4GgXQdUXAkJACAgBISAE6iIggaMu\nRCogBISAEBACQkAItIuABI52EVR9ISAEhIAQEAJCoC4CEjjqQqQCQkAICAEhIASEQLsISOBo\nF0HVFwJCQAgIASEgBOoioJOW6kKkAkKg/xB46qmn3I9+9CP3wAMPuAcffNBHDX3/+9/v+Hzy\nk59022+/fdWkH374YXfCCSf49NNOO81x4FQeLVy40B1zzDFujTXWcD/5yU/iYmeccYa75557\n4vtwMWjQILfWWmu5N73pTY5DpT772c/665CvbyEgBMqPgCKNlp+HmoEQaAqBO++8033mM59x\nzz77bFzvda97nXvttdf8vR3G5s466yx3/PHHx/lc/O53v3PbbrutT9tss83cvffe6wYPHlxR\nJtw89NBDXnhBgFi6dGlIdp/4xCfcL37xi/g+72LIkCHu3HPPdYcffnheEaULASFQMgS0pVIy\nhmm4QqAdBP785z+7XXfd1QsbRxxxhPvDH/7g/vWvf3kNx1/+8heHBgIhAk0GWow8+v3vf+9O\nP/30vOy66fvvv7/71a9+VfG58cYb3dSpU93GG2/sXnrpJXf00Ue7W2+9tW5bKiAEhEA5ENCW\nSjn4pFEKgUIQuPbaa91//vMfd9BBB7kf/vCHFW2uv/76buLEie7tb3+7O+SQQ/zif+qpp1aU\n4YbtDw6Hmjx5sttnn33cVlttVVWmXsIGG2zgPvrRj2YWQ/uy8847uzlz5rjvf//7bpdddsks\np0QhIATKhYA0HOXil0YrBGIE/vrXv7q//e1vFffXXXed++1vf+tWrFgRpycvbrnlFn8btkaS\neeH6gAMOcGuvvbbDDgP7jjSNGDHCCxoILgcffLDXjqTLtHO/+uqru/322883wVzStGzZMnfX\nXXe5GTNmeHuQ5cuXp4u0dM/Wz+LFi90LL7yQW3/JkiW+DFqhNLFF9ctf/tJ/kttV6XLJe3j4\n85//3C1YsCBOJi2vPoLek08+6TVDM2fOdGiassYSN2YX8+fPd9dff7274YYbHFos2hAJgZ4g\nYA+fSAgIgRIiYAtztN5660W2OEXbbLMNq0j8sSPjowsuuKBqVscee6wvs91221XlJRPMqDSy\nBTgyu4442RZ/X3fdddeNbFGM1llnHX//9a9/PS4TLkxQ8XlmwxGS/PfHP/5xn/6Nb3yjIj19\nY4ujL8c8Xn311TjbtnmiNddc0+cl52uCT2SCSFyulYszzzzTtztu3LjM6q+88kr0lre8xZf5\n4x//GJd59NFHI/BMjodr09JETzzxRFwueXHNNddEZnQbmbYorve+970veuSRRyLb0vL9JMtz\nfdVVV0Vvfetb4/KhP7N3iRi7CYAVVWz7LBo9enRVefg3e/bsirK6EQLdQABpVyQEhEAJEUDg\nYEHfcMMNo7e97W2R2V34hYeFLixG9vZcMbPbb789XuQQUq644govsFQUyrlJChwUmT59uu/H\njEwj8zypqNWuwPG1r33Nt21eM3G7P/jBD3zaO97xjujss8/2/X/1q1+NbCvIp++2225x2VYu\nELLMeDZCyEHYSpNpCXw/LOKB7r///lgA2n333SPbpvKC3p577unLwp/HH388FPffZmwbISQg\nbBx66KHRJZdcEtlWVjRs2LBo6NChfgwINkmy7au4vfHjx0fnn3++rwM+gdeXX355XMW0PjEu\nEyZMiC699FJfxzyQfPv0bVqiuLwuhEA3EJDA0Q2U1YcQ6AACCBwsNggczz//fEUPZgfh88wr\npCKdG96UWfDCQsXis8UWW0THHXdcxKJqBptVdUhICxykjR071rfD23myXqsCB1oEFuBVV13V\nt/vtb3+bbjyFt3UzJA1J/tu2I6JVVlnFL+C2DVSR1+zNHnvs4fu9+OKLq6oGTBEqAu2www6+\n/CmnnBKS4m/z8vF5SY0JfEIrBfZXXnllXJYLxh40GEmB4+WXX46GDx/u65iLcUUdbmz7yeeZ\nMXCcZwa4Pu0jH/lInBYuzH7H5yHsiIRANxGQwNFNtNWXECgQgSBwJN9sQ/NXX321X1TM4yMk\nVXxb/I2IbQjeqIPgEb7NfiOyGB0V5bnJEjiSWysnnXRSXKeewMGiy2IdPhb3I0JosVgc8Xg+\n9KEPRQgggTbZZBOfh2YlTffdd1/02GOPVW0rpMvVu0cYA4cdd9yxoug///lPL6QhqAXtx223\n3ebLmpFtxThDxWeeecZrE2iPrRKIrQzuP/zhD4diFd/mCuzzkwIHW2ZoONCCZFHgtbkqx9lm\n3+LbYdsGbUeSnnvuuQgtS5hHMk/XQqCTCEjg6CS6alsIdBCBIHCw2KZp7ty5fsExb5B0VsU9\n9hEWX8NvxZjXiLcfCILHYYcdFvF2HShL4CCPt27qsLViniW+eD2BI/SR/kZTwZjPO++8qkUc\nWxHKo5FhrOecc070pz/9KQyvkG+0NGxt0EfS/mLKlCm+b7QJgcIWD1tYzDvrgxDFmM2Y11f7\n1re+5e/zhAfmQ/mkwBH6S36bUXAExmyJJbVMoYwZt0ZveMMbfFtm5BsdeeSREdtrZhAbiuhb\nCHQdAQkcXYdcHQqBYhAIAgdv0mkKC/673vWudFbNe956LdiWX3BZ+DBuDJQncJC/7777+sXt\nve99b2ReE34xpH6e0ejnP/95b/eB7QcfBCS2FNKGj6Fvvsmz2CG+H9oOH2w4TjzxxIhFtgiy\nCKm+bQt+FjeHxoP+zAslTgsGuGEctb4RjqBPfepTvp0sDRL5L774os9PCxwY75pLc7T33ntH\n8BSBKPSH3QnXYJ8kMMVANJTjG4NUto0wyhUJgW4joDgc9l8oEgJlRoDIoI0QQb8IrmVv8D7O\nRlYdExDchRde6GN1mC2Fd6U0G4SsohVp5hHj7rjjDkcfxO4gsFctsoXQbb311rWKVOUxT2KH\nEAHVthG8++lvfvMbZ4KKMyNSZ8KRdxe1BbmqbjMJxCAh/se0adOcbRO5RYsWOaKz2jZQRewQ\n3IKhnXbayZnBas0uzP7E5wde5bnyZrkz26LgbPvL2daZb8PsOXz4ecLQEwPFtELOjFSr+icP\nN1h4jkssLru41M6aNct/COw2adKkqnpKEAIdQ6DbEo76EwJCoBgEgoaDPf40ZWk4LG6Df9vF\nrRQtRC267LLLfNmkLUMtDQdt/fSnP/V12Fq56KKL/HWehqOeW2ytsSXzsE9gSye46Jqwk8xu\n+Tp4f1gkVr/dZD/AUdow9Hvf+56fI1qLRomtFNpCi5JFYSssqeH42c9+5utgW5M2mKWNwKtR\no0ZlNVmRxnxMGPTtYY/C1oxICHQLAQX+6pgop4aFwMBCgGBf5vLpA1uZQFBzcDfffLPPHzNm\nTM1yyUwihNri68wuJD7kLZnfzjVv5kQm5WC3ZGAuE578QW+2veGb5zC6Isg8OHwzttj7AGPc\noGVI0qabbupvzdXYmVFpMstfE6AMzQYaEM6dgQgrD5lxamZwth//+Mc+P/nHjFP9LVFdicCa\nJnPN9UngHgiNj3keue9+97shyX+b4a0zDxwHboSPJyiYSAh0DYFuSTbqRwgIgWIRaFbDQe/E\nrbAfF/856qijIousWTEojArtDBOfj21A0iiznoaDhizyaRwci36K0nBg3IrxI21ieJkmvFzI\nswU2ndXS/d///ndv74AHCu3iTZNFoV+MSZNuwZTFToW6aCuSGqUQJ8VOxPU2G6FdNBXBHTip\n4Tj55JN9O+9+97srgqBRD+0Hhrb0w1gDEfSNNDQ/aZdpEybjvFo2M6EtfQuBohCQ0WhRSKod\nIdBlBFoROBiiHbpWYXRI0DAWwfe85z2xGyfuqWnDwkYEDtoPrqUseEUJHLSL+y9t8sEFlOBg\nX/rSl3wcEtIYf1qAol6rFAw8ads0D5nNsHUVXIvxSME1mHEF7xSEATsdt6IucUMYK+2yTUKs\nDAxBuQ+xRuBJIPrA2DPkE1UUN1mCiyGgEMAtBCwLXkUIjqYN8nXgJUa9djBfZBqriOcGo9Nk\njJPQl76FQCcRkMDRSXTVthDoIAKtChwMiTdjXEtDQCkWMz4Entprr70i9vrT1KjAQb1Pf/rT\nvr0iBQ7axQ2UN/0wXr6xSUE4KDquRAivvsYaa1TFsmAsgZ5++unItjtioSCMDeHBzq4JxSq+\n8ahBk/TBD37Qxx5BaCAGx7x58/zcNtpoo4ryuNW+853vrJg3Gh9sZfBgMQNRn5eMLEvkVDsX\nJ9aAMC4EDfAjTodICHQbgUF0aA+iSAgIgZUUAds+cA8//LCzBc17Ygx0GGyB9QeoWZwM73Fj\n2gJnb/g9HzZeKxzChu0Gp+Ga8Nb0mLAHwU7Dgp45i49SUR8bDTxyONzNoss6vFUaIWxe8LSx\nrRWHDQcH84mEQC8QkMDRC9TVpxAQAislAr/+9a/dgQce6IWKLANRs/twpJv2w7vmrpQgadJ9\ni4AEjr5lrSYmBITAQEOA4+3NPsNZyHZnkUqdHazmNQ6k47liEUGdRQj1cT9su2WgDV/jEQJt\nISCBoy34VFkICIGBhoAZafrgYM2Oyw5Tc91Y5HFJtoipfngE7SJQmZ0D49gqstgYjvEH99lm\n56DyQmAgI6BIowOZOxqbEBACTSNgrqA+/kWzFc2bo9kqLZW30PE+yqqdF+PM7dj94x//cMTY\nIE6KHXHvQnyPlhpXJSEwgBGQhmMAM0dDEwJCQAgIASHQLwj03rS7X5DUPISAEBACQkAICIFc\nBCRw5EKjDCEgBISAEBACQqAoBCRwFIWk2hECQkAICAEhIARyEZDAkQuNMoSAEBACQkAICIGi\nEJDAURSSakcICAEhIASEgBDIRUACRy40yhACQkAICAEhIASKQkACR1FIqh0hIASEgBAQAkIg\nFwEJHLnQKEMICAEhIASEgBAoCgEJHEUhqXaEgBAQAkJACAiBXAQkcORCowwhIASEgBAQAkKg\nKAT+D2cTT/8D+6FtAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 270
      },
      "text/plain": {
       "height": 270,
       "width": 270
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_snps_vegas <- read_tsv(paste0(results,'preprocessing/scored_genes.vegas.txt'), \n",
    "                         col_types = 'iciddddddcd') %>%\n",
    "    select(Gene, nSNPs)\n",
    "n_snps_me <- read_tsv(paste0(results,'preprocessing/snp2hgnc.tsv'), col_types = 'cc') %>%\n",
    "    group_by(gene) %>%\n",
    "    summarize(nSNPs = n())\n",
    "\n",
    "options(repr.plot.width=4.5, repr.plot.height=4.5)\n",
    "n_snps_diff <- full_join(n_snps_vegas, n_snps_me,\n",
    "          by = c('Gene' = 'gene'), suffix = c('_vegas', '_me')) %>%\n",
    "    mutate(nSNPs_vegas = ifelse(is.na(nSNPs_vegas), .5, nSNPs_vegas),\n",
    "           nSNPs_me = ifelse(is.na(nSNPs_me), .5, nSNPs_me),\n",
    "           diff = nSNPs_vegas - nSNPs_me,\n",
    "           lab = ifelse(abs(diff) > 50, Gene, NA))\n",
    "\n",
    "n_snps_diff %>%\n",
    "    ggplot(aes(x = nSNPs_vegas, y = nSNPs_me, label = lab)) +\n",
    "        geom_point() +\n",
    "        geom_label_repel() +\n",
    "        scale_x_log10() +\n",
    "        scale_y_log10()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "-1.12029288702929"
      ],
      "text/latex": [
       "-1.12029288702929"
      ],
      "text/markdown": [
       "-1.12029288702929"
      ],
      "text/plain": [
       "[1] -1.120293"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "0.0146756316969083"
      ],
      "text/latex": [
       "0.0146756316969083"
      ],
      "text/markdown": [
       "0.0146756316969083"
      ],
      "text/plain": [
       "[1] 0.01467563"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean(n_snps_diff$diff[n_snps_diff$diff != 0])\n",
    "sum(n_snps_diff$diff != 0) / sum(n_snps_diff$diff == 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Unmapped genes/SNPs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:06.806255Z",
     "start_time": "2019-08-06T12:47:19.242Z"
    }
   },
   "outputs": [],
   "source": [
    "degree_p <- ppi %>%\n",
    "    mutate(degree = centrality_degree()) %>%\n",
    "    as_tibble %>%\n",
    "    full_join(vegas, by = 'name') %>%\n",
    "    mutate(degree = ifelse(is.na(degree), 1e-1, degree),\n",
    "           p = ifelse(is.na(p), 10, p))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.473605Z",
     "start_time": "2019-08-06T12:47:19.246Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OIJF2I5nXDCCZ5c/fa3v3WHHHJI6QyQG2w8Vl55ZTdkyBD3q1/9yt17773uJz/5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\nfTFXeG8YG8e7Keoj2jx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HExbKf/8moq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DI/cIDR7TLCHXoa8c/UO7hSceL+Bwb1lC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\nyWaJOmkAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 300
      },
      "text/plain": {
       "height": 270,
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "is_protein_coding <- degree_p$name %in% gene_types$symbol[gene_types$type == 'protein_coding']\n",
    "\n",
    "set.seed(42)\n",
    "\n",
    "options(repr.plot.width=5, repr.plot.height=4.5)\n",
    "ggplot(degree_p, aes(x = log10(degree), y = -log10(p))) +\n",
    "    geom_point() +\n",
    "    geom_label_repel(data = filter(degree_p, p < 10e-4 & degree == 0.1 & is_protein_coding), \n",
    "                     aes(x = log10(degree), y = -log10(p), label = name)) +\n",
    "    geom_label_repel(data = filter(degree_p, p == 10 & degree > 200), \n",
    "                     aes(x = log10(degree), y = -log10(p), label = name)) +\n",
    "    labs(x = bquote('log' [10] ~'(degree)'),\n",
    "         y = bquote('-log' [10] ~'(P-value)'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Genes in the network with no mapped SNPs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.546984Z",
     "start_time": "2019-08-06T12:47:19.261Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "739"
      ],
      "text/latex": [
       "739"
      ],
      "text/markdown": [
       "739"
      ],
      "text/plain": [
       "[1] 739"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "13619"
      ],
      "text/latex": [
       "13619"
      ],
      "text/markdown": [
       "13619"
      ],
      "text/plain": [
       "[1] 13619"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genes_icogs <- vegas$name %>% unique\n",
    "genes_hint <- as_tibble(ppi)$name\n",
    "\n",
    "# genes with no p-value\n",
    "setdiff(genes_hint, genes_icogs) %>% length\n",
    "# genes in the network\n",
    "length(genes_hint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.549547Z",
     "start_time": "2019-08-06T12:47:19.263Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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y7yw4KZytRee+1lskydddZZpuTQUqIm\nT55sl1xyic9hqNyEmaJyCiqq+rWs+FoqKwvYo48+6uvPLM8yBCAAAQhAAAIQKIZA4hUs5RB8\n7LHH7He/+51PXxMkYt5mm218Spxf//rX6fPUkGGQu3DkyJFeCdNGKWXXXXddulywcNBBB/lZ\nh7J87b///n51q1at/CxFzVBEIAABCEAAAhCAQH0IJF7B0kkpAfNbb73lA39+8skntsEGG6Sd\n1bNPWnGwpJDJgvXOO+/42X6aYZhPBg0a5K1Y77//vk8cLZ8vpdtBIAABCEAAAhCAQH0JNAgF\nKzi5XOERgm3Zny1atPBO7dnrc31XeIcgKXSu7ayDAAQgAAEIQAACYQgk2sk9zIlQFgIQgAAE\nIAABCCSFAApWUq4E7YAABCAAAQhAoGoIoGBVzaXkRCAAAQhAAAIQSAoBFKykXAnaAQEIQAAC\nEIBA1RBAwaqaS8mJQAACEIAABCCQFAIoWEm5ErQDAhCAAAQgAIGqIYCCVTWXkhOBAAQgAAEI\nQCApBFCwknIlaAcEIAABCEAAAlVDAAWrai4lJwIBCEAAAhCAQFIIoGAl5UrQDghAAAIQgAAE\nqoYAClbVXEpOBAIQgAAEIACBpBBAwUrKlaAdEIAABCAAAQhUDQEUrKq5lJwIBCAAAQhAAAJJ\nIYCClZQrQTsgAAEIQAACEKgaAihYVXMpOREIQAACEIAABJJCAAUrKVeCdkAAAhCAAAQgUDUE\nYlOwXn31VRs8eLBtscUW1rJlS7vkkks8pJNPPtmuuOIKW7RoUdVA40QgAAEIQAACEIBAXQSW\nrWtjsdukRI0ePdqWLl1aa5fJkyfbjBkzbPz48TZu3Dhr0aJFrTKsgAAEIAABCEAAAtVEILIF\n68Ybb7Srr77aWrdubcccc4xdeeWVNfgMGzbMVlxxRZs0aZJddNFFNbbxBQIQgAAEIAABCFQj\ngUgK1s8//2ynnXaatWnTxqZPn27XX3+99ezZswanE044wTR82Lx5c7v22msZKqxBhy8QgAAE\nIAABCFQjgUgK1htvvGHff/+9t1x16NAhL5/OnTvbgAEDfNnZs2fnLccGCEAAAhCAAAQgUA0E\nIilY7733nmfQtWvXgiy23nprX2b+/PkFy1IAAhCAAAQgAAEINGQCkRSsTp06+XN/++23CzKY\nNWuWL9OlS5eCZSkAAQhAAAIQgAAEGjKBSApWt27dvAO7fKvmzp2bl8PUqVNt7Nix1r59e2vb\ntm3ecmyAAAQgAAEIQAAC1UAgkoLVrFkzu/jii23hwoXWvXt304zC999/33NZsmSJvf76637m\nYN++fU3fg9hY1QCOc4AABCAAAQhAAAL5CESOg3XSSSfZSy+9ZHfddZd3dg8ONGLECNNfIEOH\nDrUhQ4YEX/mEAAQgAAEIQAACVUsgkgVLVJo0aWJ33nmnPfHEE9a7d+8aQ4CtWrWy7bff3iZO\nnGhjxoypWoicGAQgAAEIQAACEMgkENmCFVTWr18/05/kq6++8kOC+FsFdPiEAAQgAAEIQKAx\nEYhNwcqEtuqqq2Z+ZRkCEIAABCAAAQg0KgKRhwgDWiR7DkjwCQEIQAACEIBAYycQiwWLZM+N\nvRtx/hCAAAQgAAEIZBKIbMEi2XMmTpYhAAEIQAACEICAWSQFi2TPdCEIQAACEIAABCBQm0Ak\nBYtkz7WBsgYCEIAABCAAAQhEUrBI9kwHggAEIAABCEAAArUJRFKwSPZcGyhrIAABCEAAAhCA\nQCQFi2TPdCAIQAACEIAABCBQm0AkBYtkz7WBsgYCEIAABCAAAQhEjoNFsmc6EQQgAAEIQAAC\nEKhJIJIFS1WR7LkmUL5BAAIQgAAEIACByBasX375xZo2beoTPZPsmQ5VF4Fddtmlrs0l2zZh\nwoSS1U3FEIAABCAAgVwEIlmwUqmUbbjhhnbIIYfYN998k65fyZ7btm2b/s4CBCAAAQhAAAIQ\naEwEIlmwpk+fbu+8844tWLDAVl555cbEjXOFAAQgAAEIQAACeQlEsmBpeFDSvHlzW2aZSFXl\nbSAbIAABCEAAAhCAQEMjEEkr6tGjh+244442Z84cu+yyy0xDhggEIAABCEAAAhBo7AQiDRH+\n9NNP3v9q3rx5Nnz4cLvmmmusa9eutv7669uKK66Yk+1VV12Vcz0rIQABCEAAAhCAQLUQiKRg\nffXVVzZs2LA0i48//tj0V5egYNVFh20QgAAEIAABCFQDgUgKVosWLezCCy+sBg6cAwQgAAEI\nQAACEIiNQCQFSzMHzz777NgaQ0UQgAAEIAABCECgGghEUrCqAQDn0LgIEOy0cV1vzhYCEIBA\npQhEUrB++OEHu/3224tqu6K9t2zZ0lq1amVbbLGFrbbaakXtRyEIQAACEIAABCDQ0AhEUrC+\n/vprO/7440Ofs/IX7r///nbnnXdas2bNQu/PDhCAAAQgAAEIQCDJBCIpWHJyHzlypF155ZU2\nf/58a9eunW2//fbWoUMHk3Vr9uzZ9sQTT9iiRYtsgw028Gl1NPNw6tSpdu+999r3339v999/\nvy2//PJJZkTbIAABCEAAAhCAQCgCkRQsObkvXbrUK1dnnHGGnXvuubXiX3300Uc2aNAgmzVr\nlv35z3+2X/3qVz69zmGHHWaPPPKIPfTQQ3bggQeGajSFIQABCEAAAhCAQJIJRIrk/t1339l5\n551nu+66q/3pT3+qpVzpxNdZZx277777TEFJzzrrLM+ic+fOdu211/rlF154wX/yDwIQgAAE\nIAABCFQLgUgK1rRp00z5CAcOHFgnjzXWWMM233xzy1SmNttsM2vdunWNdXVWwkYIQAACEIAA\nBCDQQAhEUrAC3yk5uxeShQsXemUsKCdHdzm4az0CAQhAAAIQgAAEqolAJAVrm2228WEXbr31\nVvv222/zcpGj+1tvvWVbbrlluszMmTPts88+s/XWWy+9jgUIQAACEIAABCBQDQQiKViKbbXb\nbrt5p/U+ffrYxIkT7eeff05zWbBggXdsP+CAAyyVStnhhx/utz377LM2dOhQv7z77runy7MA\nAQhAAAIQgAAEqoFApFmEAnDjjTfa4sWLvSP7gAEDbJlllrE111zTW7QyrVojRoywvffe2zM7\n+eST7aWXXrKuXbvakUceWQ0cOQcIQAACEIAABCCQJhDJgqVamjdv7mNaXXHFFaYhQ/llffLJ\nJ17BkoWrd+/eNmXKFDv//PPTB23fvr2deuqp9q9//ctWWmml9HoWIAABCEAAAhCAQDUQiGzB\nCiCccsoppj/NKpS/lZSr9ddfP2ek9ocffjjYjU8IQAACEIAABCBQdQRiU7ACMlKsNtpoo+Ar\nnxCAAAQgAAEIQKDREYg8RBgQe/XVV23w4ME+kbOSOl9yySV+k/ytNHyodDkIBCAAAQhAAAIQ\naAwEYrFgSYkaPXq0T5uTDW3y5Mk2Y8YMGz9+vI0bN86UvxCBAAQgAAEIQAAC1UwgsgVLswiv\nvvpqH5X9mGOO8YmfM4ENGzbMp9CZNGmSXXTRRZmbWIYABCAAAQhAAAJVSSCSgqWYV6eddpq1\nadPGpk+fbtdff7317NmzBqgTTjjBNHyo2YbKP8hQYQ08fIEABCAAAQhAoAoJRFKw3njjDfv+\n++9NlqsOHTrkxaPkzoqRpbKzZ8/OW44NEIAABCAAAQhAoBoIRFKw3nvvPc9AAUMLydZbb+2L\nzJ8/v1BRtkMAAhCAAAQgAIEGTSCSgtWpUyd/8m+//XZBCLNmzfJlunTpUrAsBSAAAQhAAAIQ\ngEBDJhBJwerWrZt3YJdv1dy5c/NymDp1qo0dO9YUwb1t27Z5y7EBAhCAAAQgAAEIVAOBSApW\ns2bN7OKLL7aFCxda9+7dfV7C999/33NZsmSJvf76637mYN++fU3fg9hY1QCOc4AABCAAAQhA\nAAL5CESOg3XSSSf5xM133XWXd3YPDqTkzvoLZOjQoTZkyJDgK58QaLQEdtlll4qc+4QJEypy\nXA4KAQhAoDESiGTBErAmTZrYnXfeaU888YRP7Jw5BNiqVSvbfvvtbeLEiTZmzJjGyJdzhgAE\nIAABCECgERKIbMEKmPXr18/0J/nqq6/8kGCmshWU4xMCEIAABCAAAQhUO4HYFKxMUKuuumrm\n11iWf/jhB5s5c6bNmTPH1lprLdt4441tlVVWyVn3L7/8YnKs//TTT23TTTe1DTbYIGe5YOXH\nH39sr7zyig+G2qNHD/8ZbOMTAhCAAAQgAAEIhCUQSsFStPYvvvgi7DFqlN9tt91qfC/myx13\n3GGnn356jWMrp6FS75x44ok1qnj33Xdt4MCB9tZbb6XXb7jhhib/k3XWWSe9Llg499xzvaO+\nnPAlTZs29d+HDx8eFOETAhCAAAQgAAEIhCIQSsE6//zzfdLmUEfIKpxKpbLW1P1V/luHHXaY\njxSvGYt77LGHPfXUU3bdddeZHOzl53XIIYf4SlS3ch8qZIT8wrbZZhtTDkSV69WrlynyvFL2\nBKK6L7jgAtt7773tnHPOMaX+kWP+GWec4cNPKM0PAgEIQAACEIAABMISCKVgbbLJJvbdd9/V\nOsaLL77o0+CsuOKKtuWWW3pLkUI4fPjhh6Zt3377ra2//vrWp0+fWvsWWiGlSoqTkkor3Y5E\nw4PbbrutKTr8n/70p7SCdcMNN9gzzzxj+hw8eLAvGwRDPeqoo0wzHY8++mi/XkOOWqfhxvvu\nu89brrTh4YcfNgVDHTVqlB133HHp9X4n/kEAAhCAAAQgAIEiCISaRShlRxahzD9ZjJRjUJ/K\nM/j000/bX//6V7vtttvsySef9Ou0Tb5TYaenL1261NetIb7AgT44p6222sorQooiL58rye23\n327LL7+8HXjggUEx/6nvK6ywgt1yyy3p9VOmTPFtkyKmYcFApBgefPDBJr8sprUHVPiEAAQg\nAAEIQCAMgVAKVnbFixYt8lYgBRK9+eabbfXVV88uYq1bt7abbrrJpBApKXSYIcJlllnGpk2b\n5gOWZipBOshPP/3kndjXW289ryBpeO/VV181JZbOdrJv2bKlKV/ijBkz/DCg9le9kiBHov/y\n33/BOvmcIRCAAAQgAAEIQCAsgVBDhNmVSwH58ccfbd999/XxsLK3B9+lKO2+++7ez0kWp2KS\nQwf75vu89NJL7ZtvvkkHN1U0+cWLF1ubNm1y7iJFT0rYvHnzfMqezz//3JfLVV5lJfnS/zz6\n6KM2cuRIXyb4l69ssJ1PCEAAAhCAAAQaD4FICpYUFomGCAtJMPtQflpR5d577/XO6Qq/cN55\n5/nqpGxJ8sXeCpSmoK11lc8u6yvO+Cfl7Pnnn89YwyIEIAABCEAAAhD4H4FIQ4Tbbbedafjt\n1ltv9Y7s/6u25pLyE8rBXE7yHTp0qLkx5Df5WclvarXVVrNx48b52X6qQj5WEvlt5ZLATysY\naqyrfHbZ7PoOP/xwfxwdK/iTUzwCAQhAAAIQgAAERCCSgrXccsv5oT/FnFJKnAcffNBHcQ/Q\nytKjGX077LCDTwgt5/EoopAKUm7WXntt70zfrVu3dHVrrrmmH6ZcsGBBel3mQrA+CE7avn17\nvzlYX1fZzG3BslIEZf8F2/iEAAQgAAEIQKBxE4g0RCh0mpknx/V77rnH9tlnH09TsaZkBZIj\nukSKiHyWzjzzTP897D/Vf/LJJ9s111zjneX/8Y9/2BprrFGjmmWXXdY72edSmFRQ61daaaW0\nA3wxCpZCOCAQgAAEIAABCEAgLIFIFiwdTErL3/72N6/89O7d2wf+lJ+TlCtZmvbcc09v2frD\nH/4Qtm2+vIbghg4d6uvfa6+9bPLkybWUq6BiWbQUTHT+/PnBKv8px/Y333zTtthii3RIhsD6\npXAN2RKsC2YTZm/nOwQgAAEIQAACEKiLQGQFK6hcUc+l/MhSpJhXn332mX300Uf20EMPeSUr\nKBf2UwFG5XelaOt///vfvUKXrw61QSlv5BOWKWPGjPHrM9PqSBmUT9jYsWP9bMSg/Ndff+3X\nbbbZZn5oM1jPJwQgAAEIQAACECiWQOQhwlwHWnfddXOtDr3uyy+/tMDyJcVH4SByiRzoV155\nZZOFS5aps846yzvdS4mS0nfJJZd4BW2//farsbvKyS9MEea1rKFIlZUFTKEYNOyIQAACEIAA\nBCAAgbAEEq1BPPvss2mneeUfzCdBuAjF21IkeeUmlM+XkkFLlGJHuQuz5aCDDvKzAGX52n//\n/f1m5TaU1ax79+7ZxfkOAQhAAAIQgAAEiiKQaAVL/lthIr/rjBUH67HHHvMWrHfeecfnGtQM\nw3wyaNAgb8VSKAlFplfuQqXbQSAAAQhAAAIQgEB9CSRawarvSWm/Fi1aeKf2YurQLMcgKXQx\n5SkDAQhAAAIQgAAE6iJQtQpWXSfNNghAwEInX4+DGQnU46BIHRCAQEMgENsswoZwsrQRAhCA\nAAQgAAEIlINAJAVL8a7kiI5AAAIQgAAEIAABCPyPQCQFSwmTlSJH/ksXXnihj3/1v6pZggAE\nIAABCEAAAo2TQCQFS1HcFZBTM/BGjBhhHTt2tH79+tmdd95psm4hEIAABCAAAQhAoDESiKRg\nKXHyK6+8YjNnzrTTTz/d2rVrZ4pXNWTIEFNoBKW4UVyqsKEWGuOF4JwhAAEIQAACEKgeApEU\nrADDxhtvbKNGjfKpcR5//HFTbCnlELzttttM0dQ1hHj++efb7Nmzg134hAAEIAABCEAAAlVL\nIBYFK6CjSOqKmq7UNZ9//rndc889Poin8hOed955tv7661vfvn3t7rvvtsWLFwe78QkBCEAA\nAhCAAASqikCsClYmmWbNmvlgn82bN09HRtdQ4aRJk7yFS8rWk08+mbkLyxCAAAQgAAEIQKAq\nCMSqYEmBeuaZZ+zoo4/2Pli777673XzzzfbDDz/YEUccYc8995xNmzbNjjnmGPviiy98oMNx\n48ZVBUhOAgIQgAAEIAABCAQEYonk/uabb/phQQ39BX5WSj/Tp08fO/zww23fffc1zTgMZKut\ntrJNN93UjjvuOK+AKecgAgEIQAACEIAABKqFQCQF6+uvv/Y+VS+//HKaR4cOHeywww6zQw89\n1IdtSG/IWth55539mvfeey9rC18hAAEIQAACEIBAwyYQScHS0J+UqxVXXNFbqWStktVK1qtC\n8vPPP5ssV/379y9UlO0QgAAEIAABCECgQRGIpGBp2O/666+3gw46yBQTqy5ZuHChvfHGG7bd\ndtv5Yl26dLGHHnqorl3YBgEIQAACEIAABBokgUhO7rJgHXvssXb11VcXPHkNCfbq1csUsgGB\nAAQgAAEIQAAC1UwgkoJVLJj58+f7IKQqT/yrYqlRDgIQgAAEIACBhkog1BChQiso96CSPEuC\nFDgjR470kdxzQVBE9x9//NFvUiodpdBBIAABCEAAAhCAQDUTCGXBWn311e20007ziZyVzFlD\nhBJZpfQ911+gXK2xxho+dU41w+TcIAABCEAAAhCAgAiEsmBph1NOOcUOOeQQLfp0OIpnNXz4\ncK94+ZVZ/5Q+R7MMFdEdgQAEIAABCEAAAo2BQGgFSwqTLFmSFVZYwTu5K6FzsK4xQOMcIQAB\nCEAAAhCAQF0EQitYmZW1bNnSrrvuusxVLEMAAhCAAAQgAIFGTyCUgnXttdfaa6+9Zkp1o9yC\niuSu4cEwcuONN4YpTlkIQAACEIAABCDQ4AiEUrAmTJhg48eP97MIpWDJyf2mm24KddIoWKFw\nURgCEIAABCAAgQZIIJSCNWzYMNtxxx2ta9eu/lQ1RHj55Zc3wNOmyRCAAAQgAAEIQKB0BEIp\nWHvttVeNlmhmoMI2IBCAAAQgAAEIQAAC/yMQKg7W/3ZjCQIQgAAEIAABCEAgHwEUrHxkWA8B\nCEAAAhCAAATqSSDUEOFtt91mb7zxRj0P9Z/dLrvsskj7szMEIAABCEAAAhBIOoFQCtYDDzzg\nZxFGOSkUrCj02BcCEIAABCAAgYZAIJSC9dvf/ta6d+/eEM6LNkIAAhCAAAQgAIGKEQilYA0a\nNKhiDeXAEIAABCAAAQhAoKEQCKVg5TuppUuX2vPPP29ffPGFLVmyJF1M63/55Rf76aefbO7c\nufbQQw/Zyy+/nN7OAgQgAAEIQAACEKhGApEVrNdff90UH+u9996rRj6cEwQgAAEIQAACEAhN\nIHKYhqFDh6aVq4033tjWXHNNW2aZZaxPnz7WsWNHv6xWbbbZZpEd5EOfHTtAAAIQgAAEIACB\nChCIpGBp2G/atGm2yiqr2Ntvv20zZ860448/3jQ0eN1119m///1vmz9/vvXq1cveeecd23DD\nDStwihwSAhCAAAQgAAEIlJdAJAXr3Xff9a0dMGCAde7c2S/37NnTfz711FP+s1WrVvb4449b\nu3bt7MQTT/Tr+AcBCEAAAhCAAASqmUAkBUvWKclOO+2UZtSlSxe//Nprr6XXrbTSSiYlbMKE\nCbZ48eL0ehYgAAEIQAACEIBANRKIpGD96le/8kw++OCDNJu11lrLVl55ZZs+fXp6nRbkg6UZ\nhm+99VaN9XyBAAQgAAEIQAAC1UYgkoKlYcEmTZqYhgMVjiEQ+VrNmDHDvvvuu2CVvfDCC355\n0aJF6XUsQAACEIAABCAAgWokEEnBat68ue27777e0V0WqmeffdYz6tu3r7dWHX300TZ79my7\n4447fAwsKWOdOnWqRo6cEwQgAAEIQAACEEgTiKRgqRbNFlxjjTVs1qxZ9sgjj/iKTzjhBGvZ\nsqXdfffdPlTDoYceal999ZUNGTLE5PSOQAACEIAABCAAgWomEDnQ6GqrreZDMNx2220W+GS1\nb9/epkyZYlKs5OzetGlT23///e3qq6+uZpacGwQgEJLALrvsEnKPeIprwg0CAQhAoJQEIitY\n8r2Steqkk06q0U4NGcoP68svvzTNIlxxxRVrbOcLBCAAAQhAAAIQqFYCkYYIU6mUDx56yCGH\n2DfffJOTUZs2bVCucpJhJQQgAAEIQAAC1UogkgVLoRgUoX3BggU+NEO1QuK8IAABCEAAAhCA\nQBgCkSxYQWgGzSZU/kEEAhCAAAQgAAEIQMAsklbUo0cP23HHHW3OnDl22WWXmYYMEQhAAAIQ\ngAAEINDYCUQaIvzpp59M/lfz5s2z4cOH2zXXXGNdu3a19ddfP6/f1VVXXdXYmXP+EIAABCAA\nAQhUOYFICpZiWw0bNiyN6OOPPzb91SUoWHXRYRsEIAABCEAAAtVAIJKC1aJFC7vwwgurgQPn\nAAEIQAACEIAABGIjEEnBUlLns88+O7bGUBEEIAABCEAAAhCoBgKRnNwFYMmSJUU5ty9cuNCe\ne+65amDGOUAAAhCAAAQgAIE6CUSyYH366aemtDjnn3++jRgxos4D7bzzzvbiiy/6yO6tW7eu\nsywbIQABCJSLAOl6ykWa40CgcRGIpGAVi2r+/Pn20Ucf+eKLFy8udjfKQQACEGgUBFDyGsVl\n5iQbGYFQCtYXX3xhyjEYpMUJ4l6NHDnSRo0alRPd0qVL7ccff/Tb2rVrZ2uuuWbOcqyEAAQg\nAAEIQAAC1UIglIK1+uqr22mnnWa///3va5y/rFKFLFNrrLGG3XbbbTX24wsEIAABCCSDAFa0\nZFwHWlE9BEIpWDrtU045xQcX1fLnn39um266qQ8yKsUrlyiFzoorrmhKp4NAAAIQgAAEIACB\nxkAgtIIlhUmWLMkKK6xgxx57rPXu3Tu9rjFA4xwhAAEIQAACEIBAXQRCK1iZlbVs2dKuu+66\nzFUsQwACEIAABCAAgUZPIJKClUnv5Zdftnfffdf7YgXO75nbg+UhQ4YEi3xCAAIQgAAEIACB\nqiQQWcFS+IU999zTXnnllaIAoWAVhYlCEIAABCAAAQg0YAKRFazf/va3Xrlq1qyZde7c2Tp0\n6GBaRiAAAQhAAAIQgEBjJRBJwZo9e7Y9//zz1rZtW/vnP/9pm2++eWPlyHlDAAIQgAAEIACB\nNIFIuQhnzJjhKzrggANQrtJIWYAABCAAAQhAoLETiKRgKQ+hRMOCCAQgAAEIQAACEIDAfwhE\nUrCUNkdBRJ999ll4QgACEIAABCAAAQj8l0AkBWu55ZazK6+80v7xj3/4eFh1hWeAOAQgAAEI\nQAACEGgsBCI5uSuJs5Ssrbbayo4//nivbHXr1s2U1Llp06Y5GRKYNCcWVkIAAhCAgCNATkS6\nQbUQiKRgffXVVzZs2LA0i/fee8/0V5egYNVFh20QgAAEIFBpAih5lb4C1XH8SAqWUuVceuml\n1UGCs4AABCAAAQhAAAIxEYikYDVv3tyGDx8eU1OoBgIQgAAEIAABCFQHgUhO7tWBgLOAAAQg\nAAEIQAAC8RKITcF69dVXbfDgwbbFFluYhg4vueQS39KTTz7ZrrjiClu0aFG8Lac2CEAAAhCA\nAAQgkFACkYYIg3OSEjV69GhbunRpsCr9OXnyZFPE9/Hjx9u4ceOsRYsW6W0sQAACEIAABCBQ\nmwCO9rWZNLQ1kS1YN954o1199dXWunVrO+aYY3yohkwImmWoYKSTJk2yiy66KHNTvZcfeugh\ne/311/Pu/8svv/gciffff7+9++67ecsFGz7++GMfy+upp56y77//PljNJwQgAAEIQAACEKgX\ngUgK1s8//2ynnXaatWnTxqZPn27XX3+99ezZs0ZDTjjhBNPwoRzir7322shDhTfffLPtvffe\nNmHChBrHCb5Iodp4441tu+22s/322886d+5sG220kX300UdBkRqf5557rnXs2NEGDhxo/fr1\ns1VWWcVGjRpVowxfIAABCEAAAhCAQBgCkYYI33jjDW/x0RBhXfkIpeQMGDDAHnzwQZs9e7Z1\n6dIlTBvTZTXEqICm+USR5GUxmzt3rt155522zTbbeMvZSSedZL169TK1V4peIBMnTrQLLrjA\nK2znnHOOSWEcMWKEnXHGGd7qJuUQgQAEIAABCDRGAgxTRrvqkSxYQVDRrl27FmzF1ltv7cvM\nnz+/YNnsAl9++aV3oN9rr71smWXyN/mGG26wZ555xi677DJfvlOnTnbkkUf6IcwPP/zQ7rrr\nrnTVP/zwgx111FG21lpr2X333Webb765qY0PP/ywrbfeet6KpaFGBAIQgAAEIAABCIQlEMmC\nJQVG8vbbbxc87qxZs3yZ+livdtttN5s2bZrtv//+9pvf/MYOPfTQnMe7/fbbbfnll7cDDzyw\nxnZ9P/HEE+2WW26xo48+2m+bMmWKt6bJWpWZ1qdZs2Z28MEH28UXX+yHIXffffcadfEFAhCA\nAAQgAIHyEGjIVrT85qAi2CnvoBzY5VulYbl8MnXqVBs7dqy1b9/e2rZtm69Y3vUK/aDhvHvv\nvddWXXXVnOU0vCdfLw1HZpdR2AhZ2TSbUeUkUtgkgWXNf/nvv2Cd/MoQCEAAAhCAAAQgEJZA\nJAVL1h5ZehYuXGjdu3c3zSh8//33fRuWLFniZ/pp5mDfvn1N34PYWGEbqfyFO+20U527qQ2L\nFy/2Dve5CmqWo5SrefPm+c2ff/65/5SDfraorCSf0qhz0WzDzD8dG4EABCAAAQhAAAIiEGmI\nUBXIgfyll17y/k0K0xCInMX1F8jQoUNtyJAhwdfYP7/55htfZz4LWaA0BWEY6iqfXTa7sXKg\n1/kgEIAABCAAAQhAIBeByApWkyZN/Iy9ww47zC688EJvtQoc2Vu1auVDJkjRKmSBytW4MOtW\nWGEFXzxXsFNtCBzWA3+ruspnl81uh4Y6s89nzpw5RcXcyq6L7xCAAAQgAAEIVB+ByApWgEQx\npPQn+eqrr/yQYD5rUrBPnJ9rrrmmSdlbsGBBzmqD9YpzJZGSJAnW+y///ResC8pmbtPyzjvv\n7P8y119++eV2+umnZ65iGQIQgAAEIACBRkogNgUrk1+2k3nmtlItL7vssrb66qvnVJh0TClN\nK620UtoBvhgFSyEcEAhAAAIQgAAEIBCWQL2d3GWlUoqcfCI/JcWZkn9WuUSzGhVMNBiiDI4r\nx/Y333zTJ6IOhghVVqJwDdkSrAtmE2Zv5zsEIAABCEAAAhCoi0C9FKybbrrJ1llnHVME93y5\n/h555BFTWpstt9zSB/vUzLtSiyKv6zi33nprjUONGTPGr1csrEB69+5tm2yyiQ8fETi8a9vX\nX3/t12222Wa2ww47BMX5hAAEIAABCEAAAkUTCD1EeOWVV9qpp57qD7DGGmt4f6tcR1NAUCVR\nfu6553yAz08++cTGjx/v/aRylY9jnSK9yzJ11lln2bfffmtSoiZPnuzDQyh/oXITZorKKaho\nnz59/D5KtaNQErKAPfroo6ZhRwQCEIAABCAAAQiEJRDKgqV0M2eeeaY/xvDhw00z57baaquc\nxxw8eLA9++yzPnyDZuxJYbnnnntylo1rpdLoPP300z7v4ciRI61///6mT834UyytbDnooIN8\n+z744AMfJf6AAw7w0d0Vz0txvRAIQAACEIAABCBQHwKhTDSaKaeAmkqofOmllxZ1vEGDBpmG\n4I477jg777zzTEpNFBk4cKDJ0pRPNHPxscce8xasd955x+ca1AzDfKL2yYqlAKmLFi0ypf9R\nuh0EAhCAAAQgAAEI1JdAKAuWUt5IlL8vjARJlaXwyDm+HNKiRQvv1F6XchW0Q+EdpFhttNFG\nKFcBFD4hAAEIQAACEKg3gVAKlqw8Gu4LkjwXe1TN3Nt00019cSlZCAQgAAEIQAACEKhmAqEU\nrCgg5B8lKcdswijtZF8IQAACEIAABCAQlUAoBatDhw72008/5U2CnK8xSrIcxJZSeAcEAhCA\nAAQgAAEIVDOBUApWr169PIvbb789FBOFavjuu+9MqWeCCOqhKqAwBCAAAQhAAAIQaEAEQilY\nRxxxhD81zSZU2IVi5Mcff0yHdjj88MMtiKRezL6UgQAEIAABCEAAAg2RQCgFS5HPNSNQ0c4V\nSFQBRxW2IZ+88MILPtinZh+2adPGTjnllHxFWQ8BCEAAAhCAAASqhkCoOFg6a+UfVL4/BRFV\nVPfbbrvNNtxwQ/+33nrr+eCjr7/+ui8ThGRYeeWVTalz1l133aoBx4lAAAIQgAAEIACBfARC\nK1gK0zBp0iS78MILfbBRKVHPP/+8/8t1EEVH//Of/2xrr712rs2sgwAEIAABCEAAAlVHILSC\nJQLK0Xf++ef7IcIHHnjA5/tTrsF58+ZZ69atrV27drbddtuZoq6jWFVdn+GEIAABCEAAAhAo\nQKBeClZQp2YFynFdfwgEIAABCEAAAhCAwH8IhHJyBxoEIAABCEAAAhCAQGECKFiFGVECAhCA\nAAQgAAEIhCKAghUKF4UhAAEIQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhA\nAAIQgEBhAihYhRlRAgIQgAAEIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQg\nAAEIhCKAghUKF4UhAAEIQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQ\ngEBhAihYhRlRAgIQgAAEIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEI\nhCKAghUKF4UhAAEIQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBh\nAihYhRlRAgIQgAAEIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKA\nghUKF4UhAAEIQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihY\nhRlRAgIQgAAEIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUK\nF4UhAAEIQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihYhRlR\nAgIQgAAEIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUKF4Uh\nAAEIQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihYhRlRAgIQ\ngAAEIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUKF4UhAAEI\nQAACEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihYhRlRAgIQgAAE\nIAABCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUKF4UhAAEIQAAC\nEIBAYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihYhRlRAgIQgAAEIAAB\nCIQigIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUKF4UhAAEIQAACEIBA\nYQIoWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihYhRlRAgIQgAAEIAABCIQi\ngIIVCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUKF4UhAAEIQAACEIBAYQIo\nWIUZUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAihYhRlRAgIQgAAEIAABCIQigIIV\nCheFIQABCEAAAhCAQGECKFiFGVECAhCAAAQgAAEIhCKAghUKF4UhAAEIQAACEIBAYQIoWIUZ\nUQICEIAABCAAAQiEIoCCFQoXhSEAAQhAAAIQgEBhAssWLlL9JT7++GN75ZVXrHnz5tajRw//\nWf1nzRlCAAIQgAAEIFAqAo3egnXuuedax44dbeDAgdavXz9bZZVVbNSoUaXiTb0QgAAEIAAB\nCDQCAo1awZo4caJdcMEFtscee9jLL79sU6dOtZ122snOOOMMGz16dCO4/JwiBCAAAQhAAAKl\nINBoFawffvjBjjrqKFtrrbXsvvvus80339y23npre/jhh2299dbzVqxffvmlFMypEwIQgAAE\nIACBKifQaBWsKVOm2OzZs23w4MHWtGnT9GVu1qyZHXzwwSa/rAkTJqTXswABCEAAAhCAAASK\nJdBoFaxp06Z5RrJaZUuwbvr06dmb+A4BCEAAAhCAAAQKEmi0swg///xzD6dNmza1ILVu3dqv\nmzt3bq1tWjFnzhx76aWXamybOXNmje98gQAEIAABCECg8RJotArWN998469627Zta139QMH6\n/vvva23TiqeeesqGDh2acxsrIQABCEAAAhCAQJOUk8aI4YgjjrAxY8bYa6+9ZptsskkNBFr3\n61//2g455BC74447amzTl1mzZtljjz1WY718uh555BG7//77bZ999qmxjS8QgAAEIAABCDQu\nAo3WgtW+fXt/pRcsWFDrigfrFBMrl2y88camv0xp0qSJV7Ay17EMAQhAAAIQgEDjJNBondyL\nUbAUwgGBAAQgAAEIQAACYQk0WgWrW7dunpWG9rIlWBfMJszezncIQAACEIAABCBQF4FGq2D1\n7t3b+16NHTvWAod3gfr6669N6zbbbDPbYYcd6mLHNghAAAIQgAAEIJCTQKNVsETjrLPOss8+\n+8z69Oljf//7331Edy3Pnz/fO8Avu2yjdVHL2VlYCQEIQAACEIBAcQQatQZx0EEH2dKlS+2E\nE06w/fff3xNr1aqV3Xjjjda9e/fiCFIKAhCAAAQgAAEIZBFo1AqWWAwaNMinxnn//fdt0aJF\n1qlTJ1t++eWzMPEVAhCAAAQgAAEIFE+g0StYQqUQC1KsEAhAAAIQgAAEIBAHgUbtgxUHQOqA\nAAQgAAEIQAAC2QRQsLKJ8B0CEIAABCAAAQhEJICCFREgu0MAAhCAAAQgAIFsAihY2UT4DgEI\nQAACEIAABCISQMGKCJDdIQABCEAAAhCAQDYBZhFmE6nn959//tnvqUjw8+bNq2ct7AYBCEAA\nAhCAQFIJrLrqqrbccssV1bwmKSdFlaRQnQR+85vf2COPPFJnGTZCAAIQgAAEINBwCUycONF2\n2mmnok4AC1ZRmAoX2njjjW369Om2wQYbWOvWrQvvUKDEm2++ae+++6717NnT2rZtW6B0aTYr\njdC0adOsa9eu1rlz59IcpECtCv76+OOP2xprrGE9evQoULp0m5944glbsmSJ7bLLLqU7SIGa\nX3rpJZs7d67169fPmjdvXqB0aTb/+9//tlmzZvlMB2uvvXZpDlKg1q+++sqefvpp69ixo88n\nWqB4yTb/4x//sJYtW5rymlZKnn32WVuwYIHtsccePp5fJdrx+uuvmwI1b7fddtamTZtKNME+\n+eQTf//dcMMNKxbT8KeffrJ//vOf1q5dO9tqq60qwkEHVRskAwYM8J+V+Kdnoa5J//79bcUV\nV6xEE3yfVN/ccsstrX379rG1YbXVViu+LlmwkOQRcHkSZVlMTZo0qWKNe/jhh30bLr744oq1\n4YsvvvBtGDhwYMXaoAOvv/76qdVXX72ibXBZBzwL9zCrWDtGjx7t2/DXv/61Ym148cUXfRtc\niquKtUEHdrlKU+7mXdE29OrVy7Nwyn/F2vH73//et8EpexVrg8sl69tw2WWXVawN7uXHt2Hf\nffetWBt04HXWWSe11lprVbQNLvWcZ/Hhhx9WrB1XXHGFb8O9995bsTbg5F68LkpJCEAAAhCA\nAAQgUBQBFKyiMFEIAhCAAAQgAAEIFE8ABat4VpSEAAQgAAEIQAACRRFoep6TokpSqKwEFO5h\n5ZVX9k7VlXJyl9Pm4sWLrU+fPt55v6wA/nswN3hun3/+uXeg3XrrrSvRBH/MTz/91ORAW0kn\ndzkzy8FSM1ZXWmmlirD47rvvzPkeeefVSjm5q09+++233rl8k002qQgHHfTjjz/2Ey922GGH\nirXB+Shahw4dbM8996yYk7vuVS1atPC/jTgm+NQH5o8//ugnofTt27diTu6//PKLD9Hj/OIq\n6uQu53JNuqqkk/uXX37pJybpXlUpJ3fdqxROQY72cTq5h+mfhGkIQ4uyEIAABCAAAQhAoAgC\nDBEWAYkiEIAABCAAAQhAIAwBFKwwtCgLAQhAAAIQgAAEiiCAglUEJIpAAAIQgAAEIACBMARQ\nsMLQomyiCMgJX5HFKy1vvPFGpZvA8SEAAQhAIGEEULASdkGWLl1aZ4s0U2XhwoUm5aKcopQ1\n77zzjun4lRalEDrttNPMRSu2O+64oyLN0Uy2e+65x89k22ijjcraBqWKEQPNsGxsor4/e/Zs\ne/vtt33aoO+//76xIeB8CxD44YcfzEX7N80srJQk6X5ZLgbFPBs0s0+/4VKK7gnvvfee7wNT\np061t956yzSrsSJSsRjyHDhNwOX8Sx1wwAGpVq1apVyOudSOO+6Yypd24pVXXvHh/110jfT+\ncS04a1Dq+uuvTz3wwAMpNw3eV+um/KaU+sGFjPDHdeEBUn/4wx9STsGI67BF1fPzzz+n7r//\n/pRLsplq0qSJb4v7waSUDqGc8sEHH6TOPPNMnzZHx9efy0cXexP+9re/pVyOu5TLBZmue8KE\nCSmXFzJ97uovbhp0qpKpc9KNK+HCyy+/nBo2bFjKhahIn3vAXp9KY3TUUUellFapMYh7kKVP\nU/eOcePG1fpzL2DpMtW4MGPGjNQll1ySuvnmm1O6R0l0zgceeGBK9yj1CzdFPzV06NCUU7hK\ngiDJ98uSnHCeSu+8886UC2GTatq0aepXv/pVavjw4XmZu3Ai/trkqSrSapefNOVy9/oUVpn3\nh2BZ9wn3Yp63bZEOnmdnvQUjFSQgRUa5o9QJ9KDu0qWLVyCWWWYZr8hkN61UClaQtynojOut\nt55/YEnx07pVV101teuuu6ZcIlP/XevLIR999FFqxIgRKRfHxB9XbXFxwVInn3xyaubMmeVo\nQkoPNJfYN7XbbruldF3UBil5UoCcBS3l3phibYdyPwbHePLJJ33dQa41rV9zzTVTBx10kFfE\ndVNzibBTLhF0rG1ISmXnn39++rqvu+66qW233Ta1++67+wepi0mWcrHRPA9xcYmGU5XMkVhq\nZsp1d/rpp9fIfxjkC9X5Z/6NHDmy1M2pWP2ZfULn7GJvpZyVIvXHP/7RM1A/cLHJUi42l/9e\nityASb1flvuiXH311el+p5c/PcN0TTbYYIOUc52o1ZxSKVg33XSTV6j10umSjvt7otqx/PLL\np44//nhvJJCCpXXdunVLvfrqq7XaVooVxMFyxCsp5557rl1wwQWmTw17KWCfe1iae/Oy1157\nzU455RRzP+Z0E13HsM0339wUH1b7xCHOMmJOefCBNJ0lwAfsczdoU4BTDQteeuml5hLr+oBx\nGppUGffWYtpv5513jqMJNepwHd0mTpxozppmTrGpMSx53XXXmbNmWLNmzWrsU4ovCnB6yy23\nmPvxmktamj6EsrM7C1NJAhoGgSPdzcDuu+8+f01cIl8ftE8NcIlLfeBXp+j59qiPKJBep06d\n7Lnnnku3MeqCswzYN998E7oa9wZpTgkKvV+uHXT+TpH3ASzVH7t3756rmB8qfeaZZ/zvZ/r0\n6Z6D2lmELr4AAEAASURBVBGHvP76676f16cu/Z7jEgW63XTTTW3+/Pk+aKKGSBWIWL8Plwjd\n/w4VXFLyf//3f354TL/dOAMsJqFPPP74474/uBdAO+mkk8w9QO0vf/mLDzwrRnvvvbf/bboX\nDz8spMCjs2bN8vcxZ12J5XIk4X6ZhH6pALPOOOD7mJ4HW221lXdd0fNCzzQFRXZWJevcuXOa\n+1577WXO4hqre8Pzzz/vA1HrGaVjK7CpXG10T3CjDeaMAv5eqnvmlClT/LNVfUVuFiUPllwK\nrY06iyegIa/VV189pSGwTHF+Nqntt9/ea9yjRo1KbyqFBUvDKxoCdOPj6eM8+OCD/tiuA6bc\nAz69XgsyucuK5G5wNdZH/TJv3ryUzlVmZveL9H96K/rTn/6U0hu51rkbS9TDFNx/0qRJfshW\nQww65gorrJD67W9/m9IQnXgoU3ypRMfQMW+77bb0ITQconWXXXZZel3mgt7eXHT1lFOIMldH\nWt5ss838MXXcMH9xDl0ffPDBfviv2OEuF+neWy2OPvroSOeeufNDDz0U6vwzWWXWE2XZPSxS\nLiq3b4esm86/J12dLKs65pgxY9LrNMyvdUceeWR6XRwLSegTsuDp3DIttrJeyZKr9e5FqMap\nysKs9WPHjq2xPsqXJNwvk9Av5cYitrJiZYt46/7ZsWPHlIaxAymFBUsuG+7lI6XfSbY4Xyzf\nRvfCnt4kNw+NRMjiWWpZ1gFCKkjAmf3NKVI+/UhmM1ZZZRUbP36833bGGWf4dBh6my+FyBFQ\nKWCc/1e6eqVZcIqFT8uit8FM0RuCU3z8G0Dm+ijLetu/9tprTc6hspwdc8wxduihh9o222zj\nq7399tujVF/UvrIGOR8O7xTphgD9W9GgQYPMKVfmhkh9Hdksiqo4RCFZqyRbb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X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\nCUSJwP8BSpaBqGYWC9YAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 300
      },
      "text/plain": {
       "height": 270,
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(degree_p, ! name %in% genes_icogs) %>%\n",
    "    arrange(-degree) %>%\n",
    "    mutate(name = factor(name, levels = name)) %>%\n",
    "    head(15) %>%\n",
    "    ggplot(aes(x = name, y = degree)) +\n",
    "        geom_bar(stat = 'identity') +\n",
    "        labs(x = 'Gene symbol', y = 'Centrality degree') +\n",
    "        theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparison to other chips\n",
    "\n",
    "TODO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparison to iCOGS pre-QC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.552727Z",
     "start_time": "2019-08-06T12:47:19.267Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "380"
      ],
      "text/latex": [
       "380"
      ],
      "text/markdown": [
       "380"
      ],
      "text/plain": [
       "[1] 380"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pre_qc <- read_tsv(paste0(results,'bad_genes/snp2gene.preqc.tsv'), col_types = 'cc')\n",
    "genes_pre_qc <- pre_qc$gene %>% unique\n",
    "\n",
    "# number of genes lost in qc\n",
    "setdiff(genes_pre_qc, genes_icogs) %>% length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.555620Z",
     "start_time": "2019-08-06T12:47:19.271Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AQ6LoF2oWBVcni++OILX2yRRRYpWjxW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0/ms6ekcSN8zlrXTytymMfaZzRtYifRRy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\nRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 300
      },
      "text/plain": {
       "height": 270,
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(degree_p, name %in% setdiff(genes_pre_qc, genes_icogs)) %>%\n",
    "    arrange(-degree) %>%\n",
    "    mutate(name = factor(name, levels = name)) %>%\n",
    "    head(15) %>%\n",
    "    ggplot(aes(x = name, y = degree)) +\n",
    "        geom_bar(stat = 'identity') +\n",
    "        labs(x = 'Gene symbol', y = 'Centrality degree') +\n",
    "        theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.560574Z",
     "start_time": "2019-08-06T12:47:19.273Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ly5bZokWLrEWLFtasWbPGV0FqVFRAN2UvXLjQmjdv7n+KbkCBRicQ\nfAb0O0C/C0jJFSDASm7bU3MEEEAAAQQQaCABuloaCJbdIoAAAggggEByBQiwktv21BwBBBBA\nAAEEGkiAAKuBYNktAggggAACCCRXgIlGS2j7L7/80qZMmWKtW7e2rbbayr+WsFm6iAbAv/LK\nK/b1119b7969bb311kuvYyEeAp988om9//77/kaGDTbYwNZff/2ST3zevHn2/fffh5bXZ6qc\nmYFDd0Jmgwt8/vnnlu+pYppYWIPaiyV+DxQTiub6OXPm2Ny5cwuenCYV7dy5c8EyWlkfn6Oi\nB6FAdATcLw1SAQH3YMeU++Wp5zX6H3dnSOrSSy8tsEX2qg8//DDlvpDT22s/G264Ycr9R8su\nyLtICrigOLXPPvtktZ/acMCAAamPP/64pHM+9thj62wffJ4OOuigkvZBoeUnMHPmzLztp3b8\n4IMPip4cvweKEkW2wGmnnVaw/fUZ2GOPPYqef318jooehAKREij+Z5f79CQ16aGOeq7ckCFD\n7KyzzvK9F3qS9siRI23FFVe0E088sSCNa2kbMWKEzZgxw+68807beuut7ZlnnrGTTz7Z+vbt\na1OnTi27N6zgAVlZrwKaduHAAw+0SZMm2f7772+HHnqo6S/VO+64w26//XYbNGiQTZ482Vq1\nalXwuHoI+Morr2xHHHFEnXKbbbZZnTwyoiUQPMRdD3jdeOON65zcKqusUicvM4PfA5ka8Vvu\n169f3t7LcePGmftDy/8+L1azaj9HxfbP+ggKRCrci9DJzJ8/P7XOOuukXPd/asmSJekzc3Pc\n+Pw111wzKz9dIGPh+uuv93/53HDDDRm5qdRNN90Ump9ViDfLXWDixIm+nbbZZps657Lnnnv6\ndQ888ECddZkZ7rJQyl0GTO2www6Z2SzHSOCSSy7xba3PQyWJ3wOVqEV/m9dee81f3XB/aKXc\nH2NFT7jaz1HRA1AgcgIMcs8T9KrXYvr06TZs2LCsSSM1kejQoUNN47ImTJiQZ+t/Zo8dO9ZW\nWGEFO+CAA7LK6b16PW655ZasfN5ES0Dt74JsO/zww+uc2PDhw32eeiELpWnTppkL1m3zzTcv\nVIx1ERZQz0OTJk1s0003regs+T1QEVukN9KEwurRbteund12223+81HshKv9HBXbP+ujJ8Al\nwjxt8uqrr/o1W265ZZ0SQZ4uD+2111511itDs7rrP5QGQ7dv3z6rTNu2bU0Dpd98801fjtl+\ns3gi8+b3v/+96ScsadC70q9//euw1em84LKALgW++OKL5v7qNbW/LheXM1A+vUMWai6gNuzR\no4efpf/ee++1b775xtw4StOlIw0VKJT4PVBIJ77rzj33XHv77bd9cNWxY8eSKlLN56ikA1Ao\ncgIEWHmaxA1I9GvC/vN06NDBr9PYqnxJd43pr5yw7bWN9qFfvrNmzbIuXbrk2w35ERSYPXu2\nXXXVVT5Q0ricQikIsDR2T71ZQdLjlDQWb8yYMSXdgRZsx2ttBRYsWGBugLqtuuqq1q1bN/vx\nxx/TJ6C7ge+66y4L/uBKr8hY4PdABkYjWfzoo4/8/1sF2erFKiVV+zkq5RiUiZ4AlwjztIlu\nrVcKu4U+CLB06SdfKrS9tillH/n2Tf7yE1Cb77333qYg68orr7TVV1+94Mloeg8llRs/frx9\n8cUX/rVnz54+SHPjMgpuz8rlK/DWW2+ZbnZQoKQbXXRJ+N1337VRo0aZejEHDhxouo0/X+L3\nQD6Z+ObffPPNpik3jjvuuJIuDaqm1X6O4quV7DOnBytP+wd3humXa27Sfy6lQg/0LbS9ti1l\nHypHio6AgirdOag5zU466SR/h2ixs/vTn/7k70DUuL3gM+FukLBNNtnEXya+4IIL7NRTT+Vu\n0mKQy2n9uuuua7osuNZaa9l2222XPouLLrrI/x9WD6QCbbVjWAraPOz3iMrzeyBMLbp5uuqg\nMXVt2rSxQw45pOQTrfZzVPKBKBgpAXqw8jRHcNku7K/TIE8DHPMl9VhoYGxQNrdckF9oH7nb\n8H75CehWbHc3ob300kumoOmaa64p6WS23357P0g++KINNtLnY5dddjF3V6rvFQnyeY2WwGqr\nrean6sgMroIzDL5gg17KID/zld8DmRrxX9a0DN9++63pJhcFWaWmaj9HpR6HctESoAcrT3uU\nEmBpBud8STM76z9VEEjlllO+5lTKHQCfW473y1/gnXfesV133dWPl3NTbNiRRx5ZLyelcT1K\nwWWketkpO6mZQCntx++BmjVHTQ6ky4NKujxYX6mUz1F9HYv91FaAHqw83hojo6TpGnJTkFdo\ncKu20T40ZkOXljKTBra/9957pjvLCl1mzNyG5eUjoDtF+/fvbz/99JP97W9/Kyu40oBotfG2\n227rx/Hk1kCP3lHibsJcmei8180Mah9dJsxNpbYfvwdy5eL5Xpdz3Vxo1r17d9too43KqkR9\nfI7KOiCFoyEQuZm5InRCvXr1Srku/pR7DlX6rH744YeUe+ZUqk+fPil3PT6dH7bwl7/8xU9Q\nmPtonYsvvtjnP/jgg2GbkRcRAXfnj59U1s1llnJTLFR0Vm7mb9/W999/f9b2zz//fMpdQk7t\nuOOOWfm8iZbAQw895NvPfaFmTSapiSV32203v879wVXwpPk9UJAnNivdXcC+vQcPHlz2OdfH\n56jsg7LBchfQIwBIeQTuuece/x/KTTCYUjCkWbvd4OSUnkeoWXwzk3ucji/78MMPp7PdXzwp\n99dryt2Sn/rzn/+cco/eSbnxO/69ypOiLeDuGvNt6i4X++cR6pmEuT/ukkG6EmGfgaefftq3\nt5uuI6VnmukzoIDbPTon5e4kTbm50NLbsxA9AT3FQc+ddH8O+9n43WOSUvo/7sbP+Tz3+KOs\nkw77DPB7IIsotm8ee+wx3+b6XV4ohX0Gyv0cFdo/6+IjQIBVpK3cPDcp96wx/x9Lv2S17GZg\nr7NV2H8qFXKXA1O77767763Q9vpx43lSeogwKdoC6qUM2izfq7ubMF2JfJ8Bd2kx5eZMSu9L\nAbp7FmXK3eaf3paF6Aq48ZKpY445xv9hFXwOFDC7OwjrnHS+zwC/B+pQxS4juPJw3333FTz3\nfJ+Bcj5HBQ/AytgINNGZul8apAICItJdZLrjS9ff9fibcpPG42jCQg2M151FpOQJuKDa9KNZ\n/HWDAyleAr/88oufLFZ3j+kRSpUkfg9Uota4tqmPz1HjEmm8tSHAarxtS80QQAABBBBAYDkJ\ncBfhcoLnsAgggAACCCDQeAUIsBpv21IzBBBAAAEEEFhOAgRYywmewyKAAAIIIIBA4xUgwGq8\nbUvNEEAAAQQQQGA5CRBgLSd4DosAAggggAACjVeAAKvxti01QwABBBBAAIHlJECAtZzgOSwC\nCCCAAAIINF4BAqzG27bUDAEEEEAAAQSWkwAB1nKC57DREfjv//5va968uT3xxBPpk/r88899\n3rHHHpvOK2Xhyy+/tLPPPtsGDRpka6+9tp+13z0U2E4//XRzD3gO3cX7779vAwcO9D+vv/56\naJkgc/r06b7cgQceGGT5Vz1pINhH7uvvfvc7GzFihJ1xxhn2yiuvZG3Hm+gInHnmmb4NJ0+e\nXNZJffvtt2WVr7Rw7nHcQ6z9+er/DwkBBEIEYvNQH04UgQYSOOyww/xzAr/55pv0EdyXh8+7\n8cYb03nFFiZNmpTq3Llz+pmD7r+bf9CzXvWjZxBedtlldXbz0ksvpbfp1atXyj2SqU6ZIEMP\nh9a+2rdvH2T5V/elnN5HcLx8r3p4uZ6LRoqWwA477ODbUM+uLCW99957/gHUYZ+pUrYvtUy+\n4+ih5fqMuT9CSt0V5RBIlAA9WO43BCnZAuoxWHPNNc0FR2mIoBdh8803T+cVWnBfQrbTTjvZ\nzJkzza36iekAABRkSURBVD0Y2N555x37+eef/fMrP/30Uzv//POtZcuW9h//8R923nnn5d3V\n22+/baNHj867vpQVf//73+2pp55K/+j9I488Yqeccoo1bdrU1Eu233772bJly0rZHWUiKnDd\nddfZxIkTG/zsanWcBq8IB0CgxgLNa3w8DodApAQWLFhgU6dO9Zc6Mk9MAZYe6u16lDKz8y4/\n+uijtmTJEvv9739vuZdM9GDgP//5zz6Ic71lNnbsWDvnnHPq7KtJkybm/rwz1zNggwcPtlKD\nu9wd7bzzzj6Qys3XPrfffnvTJcP//d//NQVzv/nNb3KL8R4BBBBAoB4ECLDqAZFdxEvgu+++\ns0WLFvmTVm/O0qVLbb311rOvv/46XZHXXnvNevToYbNnz7ZWrVrZKquskl4XtqCARWmbbbYJ\nW+3zhg8f7nuRNI7KXeqrE9ysscYatuWWW5qCtUMPPdR0Dgry6jMpyOrYsaPJwF2arHMOH3zw\ngX344Yc+QNtwww1NwaECv1KTu8zqt11ttdX8JhqTpnr07t3bunXrlrUbncOLL75obdu2NXfZ\n0tq0aZO1PvONAmGdm8aaderUybdXly5d6pzb/Pnzbd68edauXTtbaaWV/PLLL7/s66xjhNWl\nkm0yz02fJfVgfvTRR9a9e3eTW4sWLTKL1FlevHixvfDCC76cAuly2lk9j+op1Xkr/fjjj/6z\nu/LKK9cxlIX+gFA76PO8wQYb+J7UOicUklHOcbS5emzfeOMN/9naaqutbNVVVw3Z67+zKnH7\n99Z1l/TZ0xjDnj17+rqqhPLU5pm905lbylHnrNSnT5+85XI/13r/6quv+jrqjxR91gqlUo9T\naB+si6FAoi6IUlkEnIDrxSl5vJL7L50aMmRIUbeTTz7Z73PbbbctWNZ90aW+/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WeA5S7hpDTRqc4jOCcFCG6aAT/Ttr4Ela9H8gQp+NLX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\nWnEAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 300
      },
      "text/plain": {
       "height": 270,
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(pre_qc, gene %in% setdiff(genes_pre_qc, genes_icogs)) %>%\n",
    "    group_by(gene) %>%\n",
    "    summarize(n = n()) %>%\n",
    "    ggplot(aes(x = n)) +\n",
    "        geom_histogram(bins = 10) +\n",
    "        labs(x = '# SNPs mapped to the gene', y = 'Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Genes with no interactions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.569105Z",
     "start_time": "2019-08-06T12:47:19.278Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "19887"
      ],
      "text/latex": [
       "19887"
      ],
      "text/markdown": [
       "19887"
      ],
      "text/plain": [
       "[1] 19887"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "32767"
      ],
      "text/latex": [
       "32767"
      ],
      "text/markdown": [
       "32767"
      ],
      "text/plain": [
       "[1] 32767"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# genes with no ppi\n",
    "setdiff(genes_icogs, genes_hint) %>% length\n",
    "# genes icogs\n",
    "length(genes_icogs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.570451Z",
     "start_time": "2019-08-06T12:47:19.280Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HlMwJqQnuYQ6ouEYFCjcs8SX22hsOXT/bGVgOXz2DEeAbR1aKpwJoqgiECMK4qQ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\naQiQdfNqAftnCBgChoAhYAgYAn2NQJKAFSKHRok4gNhieeP38L4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cOyBYwStLnq0oJm+reuyeIWAIGAKGgCFgCEy4CCRrsDw0OP/kDyNz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2yMcuwTLCzxBLfDKIcieeYT7sueSLLSM6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\nI9DNM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ZySpDbAarDNStTkNAECAdzXnn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\nAAQgUIgE/gd22PNEO28ZsAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 300
      },
      "text/plain": {
       "height": 270,
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(gene_types, symbol %in% setdiff(genes_icogs, genes_hint)) %>%\n",
    "    mutate(type = gsub('_', ' ', type),\n",
    "           type = ifelse(grepl(' ', type), tools::toTitleCase(type), type)) %>%\n",
    "    group_by(type) %>%\n",
    "    summarize(n = n()) %>%\n",
    "    arrange(-n) %>%\n",
    "    ungroup %>%\n",
    "    mutate(type = factor(type, levels = type)) %>%\n",
    "    ggplot(aes(x = type, y = n)) +\n",
    "        geom_bar(stat = 'identity') +\n",
    "        labs(x = 'Gene type', y = 'Counts', title = 'Biotypes of genes not in the network') +\n",
    "        theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.579020Z",
     "start_time": "2019-08-06T12:47:19.283Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "5227"
      ],
      "text/latex": [
       "5227"
      ],
      "text/markdown": [
       "5227"
      ],
      "text/plain": [
       "[1] 5227"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(degree_p, degree == 0.1 & is_protein_coding) %>% nrow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.581423Z",
     "start_time": "2019-08-06T12:47:19.286Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ACBViIQvJN7K3HhayEAAQhAAAIQgEDF\nBFCwKkZHQwhAAAIQgAAEIFCcQCYVrDPOOMOiKGJ6sPgxZSkEIAABCEAAAq1MIJMKVisz4+sh\nAAEIQAACEIBAIgEUrEQ8rIQABCAAAQhAAALpCaBgpWdGCwhAAAIQgAAEIJBIAAUrEQ8rIQAB\nCEAAAhCAQHoCKFjpmdECAhCAAAQgAAEIJBJAwUrEw0oIQAACEIAABCCQngAKVnpmtIAABCAA\nAQhAAAKJBFCwEvGwEgIQgAAEIAABCKQngIKVnhktIAABCEAAAhCAQCIBFKxEPKyEAAQgAAEI\nQAAC6QmgYKVnRgsIQAACEIAABCCQSAAFKxEPKyEAAQhAAAIQgEB6AihY6ZnRAgIQgAAEIAAB\nCCQSQMFKxMNKCEAAAhCAAAQgkJ4AClZ6ZrSAAAQgAAEIQAACiQRQsBLxsBICEIAABCAAAQik\nJ4CClZ4ZLSAAAQhAAAIQgEAiARSsRDyshAAEIAABCEAAAukJoGClZ0YLCEAAAhCAAAQgkEgA\nBSsRDyshAAEIQAACEIBAegIoWOmZ0QICEIAABCAAAQgkEkDBSsTDSghAAAIQgAAEIJCeAApW\nema0gAAEIAABCEAAAokEULAS8bASAhCAAAQgAAEIpCeAgpWeGS0gAAEIQAACEIBAIgEUrEQ8\nrIQABCAAAQhAAALpCaBgpWdGCwhAAAIQgAAEIJBIAAUrEQ8rIQABCEAAAhCAQHoCKFjpmdEC\nAhCAAAQgAAEIJBJAwUrEw0oIQAACEIAABCCQngAKVnpmtIAABCAAAQhAAAKJBFCwEvGwEgIQ\ngAAEIAABCKQngIKVnhktIAABCEAAAhCAQCIBFKxEPKyEAAQgAAEIQAAC6QmgYKVnRgsIQAAC\nEIAABCCQSAAFKxEPKyEAAQhAAAIQgEB6AihY6ZnRAgIQgAAEIAABCCQSQMFKxMNKCEAAAhCA\nAAQgkJ4AClZ6ZrSAAAQgAAEIQAACiQRQsBLxsBICEIAABCAAAQikJ4CClZ4ZLSAAAQhAAAIQ\ngEAiARSsRDyshAAEIAABCEAAAukJoGClZ0YLCEAAAhCAAAQgkEgABSsRDyshAAEIQAACEIBA\negIoWOmZ0QICEIAABCAAAQgkEkDBSsTDSghAAAIQgAAEIJCeAApWema0gAAEIAABCEAAAokE\nULAS8bASAhCAAAQgAAEIpCeAgpWeGS0gAAEIQAACEIBAIgEUrEQ8rIQABCAAAQhAAALpCcyW\nvgktINB6BDbddNPW+/Iqv3nixIlV7oHmEIAABCCQFQIoWFk5UvSzLgmgMNblYWVQEIAABAwF\ni5MAAhCoGYGsKoxYF2t2CrAjCEDg/xPAB4tTAQIQgAAEIAABCNSYAApWjYGyOwhAAAIQgAAE\nIJCZKcJvv/3Wpk+fbl999ZWtueaatsACC3D0IAABCEAAAhCAQJAEMmHBuuWWW2yJJZaw9ddf\n34YNG2YLLrigDRw40D799NMgodIpCEAAAhCAAATaNoHgFawnnnjCdt11V+vatatdfvnl9tJL\nL9kJJ5xgzz33nK299tr2888/t+0jyOghAAEIQAACEAiOQPBThGeddZb99ttvdt5559nmm2/u\nAa6wwgr27rvv2rXXXmtSwP74xz8GB5YOQQACEIAABCDQdgkEr2BtueWWtvzyy9uQIUMaHaUN\nNtjAK1ivvfYaClYjMnyAAARqQSCrKSc0dtJO1OIMYB8QqI5A8ArW3nvvXTDCKIrsnnvu8cs3\n3HDDgvUsgAAEIAABCEAAAq1JoGoFa9asWTZ58mR75JFHbMqUKfbJJ5/YZ599ZrPNNpuP9FO0\n3+qrr25Dhw71lqhqBvvqq6/arbfeauPHj7cXXnjBzj777MR9XnPNNfb00083+kq1QyAAAQi0\nNQJY5NraEWe8rU2gYgXryy+/tEsuucQuuugimzlzZtFxyE9Kcvfdd9sxxxzjIwH/+te/2l57\n7WUdOnTw69L8kR/WFVdc4ZssueSStskmmyQ2f/zxx+26665L3IaVEIAABCAAAQhAoNYEUitY\nsliddtpp3nr0/fffe0VJ6RPkJ7XIIotYnz59/EsWrM8//9ynUlD+qqeeespHAO633342ZswY\nGz16tMmPKo0cd9xxdvLJJ9vYsWPtwgsvtNVWW80uvvhi22effYruRv088sgjG6078MADTYoX\nAgEIQAACEIAABJqLQCoFa+rUqbbnnnvayy+/bIMHD7Ydd9zR56Xq2bNnYv9Gjhzp10vhuuGG\nG+zKK680+U7Jgf3vf/+7yRpVjiy88MJ+MylUStGgaEIpWqUULOXL0itX5plnntyPvIcABCAA\nAQhAAAI1J5AqD9a6665rPXr0sGeffdb7XEmxaUq5yu2x2h522GH2yiuv2IMPPmjvvfeeDRo0\nKHeTst/LYqaM7lL23n///bLbsSEEIAABCEAAAhBobgKpLFh33HGHd1avRac23nhjn15h3Lhx\nJXf33Xff2SqrrOKnHuVEny/t2/+vfjj33HPnr+IzBCAAAQhAAAIQaDUCqRQsRQLWUtq1a+en\nCUvtU4rTvPPO632mlLl91VVXbdhUkYuKWpQC1r1794blvIEABCAAgfonkNWoSHKU1f+5GY8w\n1RRh3Kip/7///ntTm5S9/vzzzzdZqhQxeNRRR9nDDz/sHez145Ij/dVXX132vtgQAhCAAAQg\nAAEItASBmilYDz30kClCcMCAASbL0/zzz2+bbbaZHXvssab8VZXKOuusYxMmTPBWKpXN2Wij\njUypHpZbbjmT032uVavS76AdBCAAAQhAAAIQqCWBVFOExb5YWdVPOOEEnz5B72P58ccffbkG\nmUMvuOACu+2227zCFa9P819K1YwZM+zDDz+0jz76yJZaailf/DnNPtgWAhCAAAQgECKBrE53\niiVTnqXPqKoVrMMPP9wXYu7Vq5f95S9/8VGByof1008/+eg+JRm97LLLbIsttrCbb77Ztt9+\n+9K9aWLNQgstZHohEIAABCAAAQiESQCF8X+PS1UKlixWKl2j5KL//Oc/TUpWriy22GK23nrr\n2U477eQVL2V9r0bByt037yEAAQhAAAIQgECoBKrywVKGdpXJGTVqVIFylTtg5asaPny4PfPM\nM6YSOwgEIAABCEAAAhCoZwJVKVhffPGFZxNnWE8CpWztv/32m8X1CZO2ZR0EIAABCEAAAhDI\nMoGqFCxFDCqFwn333dckA9Ui7Ny5s6200kpNbssGEIAABCAAAQhAIMsEqlKwunTpYkcccYSv\nLaiagr/++msBC+XEOvvss+2BBx7weayUuwqBAAQgAAEIQAAC9UygKm3nhx9+sMUXX9yXsjny\nyCPt0ksvNUUPLLroot6ypRqBqjn4+uuvW6dOnXyKhQMOOKARzzXWWMNGjBjRaBkfIAABCEAA\nAhCAQJYJVKVgff3117b//vs3jP/tt9+2iy++uOFz7hspY1LA8uXbb79FwcqHwmcIQAACEIAA\nBDJNoCoFS1OEZ555ZlUAll9++ara0xgCEIAABCAAAQiERqAqBUtO6ypbg0AAAhCAAAQgAAEI\n/B+BVE7uu+66q7333nv/17rKd6+88oqNHDmyyr3QHAIQgAAEIAABCIRFIJWC9fzzz9syyyzj\nS+IowWil8vLLL9uee+5pK6+8sv3nP/+pdDe0gwAEIAABCEAAAkESSKVgTZs2zRQteOGFF5qS\ni6oIs+oMfvbZZ00OTpGEl1xyiSl31oorrmiTJk2yG264wR566KEm27IBBCAAAQhAAAIQyBKB\nVD5Yc8wxh5100km23Xbb2XHHHWfjxo2zhx9+2Pbbbz/r2bOnr0mouoQq9tyhQwf7/PPP7dNP\nP7XnnnuuQQlTuoYTTzzRK2odO3bMEiv6CgEIQAACEIAABMoikErBivcoC9Q999xjb7zxhp13\n3nl277332scff+yVKNUnLCbLLbecbbHFFnbQQQd561exbVgGAQhAAAIQgAAE6oFARQpWPPC+\nffvamDFj/Ou1116zKVOm2CeffOIVLWVsX2CBBax3797Wv39/W2KJJeJm/IcABCAAAQhAAAJ1\nTaAqBSuXzLLLLmt6IRCAAAQgAAEIQKCtE0jl5N7WYTF+CEAAAhCAAAQgUA6Bii1Yv/zyi911\n1132+OOP+1qDKpujcjhzzjmnKcP7/PPPb6uvvroNGjTIBg4cWE5f2AYCEIAABCAAAQjUBYHU\nClYURXbaaafZBRdc4CMEkyjcfffdfrUKOstXq1+/fkmbsw4CEIAABCAAAQjUBYHUCtYRRxxh\n5557rh+8cloNGTLEW6u6d+9uXbt2tZ9//tm+/PJL/3r11Ve9lWvq1KnekqWcV1iz6uK8YRAQ\ngAAEIAABCCQQSKVgSUGScqUkow8++KAp9UJTctFFF9kpp5xiJ598sh144IGmNA7t2rVrqhnr\nIQABCEAAAhCAQGYJpHJyl7+V5Oabby5LudK2cXLSzTbbzFRqp5a1DLV/BAIQgAAEIAABCIRG\nIJWCJevT7LPPXtE0n5zdJR988EFoDOgPBCAAAQhAAAIQqCmBVAqWyuHMmjXL3nnnndSdePHF\nF32bJZdcMnVbGkAAAhCAAAQgAIEsEUilYA0ePNiPbeTIkfbdd9+VPc7bb7/dbr31Vl+jUNnd\nEQhAAAIQgAAEIFDPBFI5ue+22252ySWX2JNPPulL4GyzzTa2+eabW69evWy++ebzr/wowltu\nucWeffZZX/z56quvrmeWjA0CEIAABCAAAQh4AqkUrA4dOtg//vEPGzFihC/2fP3115teTYlq\nFiqKcMMNN2xqU9ZDAAIQgAAEIACBzBNIpWBptMrSrgSiigjUtJ+sU2+88YbFmdw7d+5sCy64\noH8ttNBCtsMOO9if/vQna98+1Wxk5sEyAAhAAAIQgAAE2i6B1ApWjGqVVVYxvXLlt99+81OB\nuct4DwEIQAACEIAABNoagZqalTSFiEAAAhCAAAQgAIG2TqCmClZbh8n4IQABCEAAAhCAgAig\nYHEeQAACEIAABCAAgRoTQMGqMVB2BwEIQAACEIAABFI5uY8aNcpee+21qqiNHTu2qvY0hgAE\nIAABCEAAAqETSKVgvf766zZu3LjQx0T/IAABCEAAAhCAQKsSSKVg3XTTTbbHHnuYSt9Izjjj\nDFt44YVbdQB8OQQgAAEIQAACEAiNQCoFq1OnTnbbbbf5JKLnnXeeTZgwwR555BGSiIZ2VOkP\nBCAAAQhAAAKtSqAiJ/czzzzTll9+eXv88cftoosuatUB8OUQgAAEIAABCEAgNAIVKVhzzDGH\nqXCzyt9omvCnn34KbVz0BwIQgAAEIAABCLQagVRThLm9XGONNXwtwnfffdc++ugjW2KJJXJX\n8x4CEIAABCAAAQi0WQIVK1gitt1227VZcAwcAhCAAAQgAAEIlCJQ0RRhqZ2xHAIQgAAEIAAB\nCECAUjmcAxCAAAQgAAEIQKDmBKqaIvzhhx/s2muvLatTHTp0sC5duli3bt2sX79+1rNnz7La\nsREEIAABCEAAAhDIGoGqFKyvv/7aDjzwwNRjbteunfffuuGGG0wRiQgEIAABCEAAAhCoJwJV\nKVjzzDOPnXrqqTZ69Gj7/PPPbYEFFrB1113XFl10UZN1SxGG//jHP+znn3+2pZZaypZbbjn7\n73//a1OmTPHZ4L///nu76667bM4556wnpowFAhCAAAQgAIE2TqAqBWvuuee233//3StXRx11\nlB1//PHWsWPHRkg/+OADGz58uL388st2zjnn2B/+8Ad74403bMSIEXb//ffbvffeazvssEOj\nNnyAAAQgAAEIQAACWSZQVRThd999ZyeccIJtttlmPuFovnIlMH369LE77rjDJyM9+uijPau+\nffvaxRdf7N9PnjzZ/+cPBCAAAQhAAAIQqBcCVSlYU6dOtd9++82GDh2ayKNXr1626qqrWq4y\ntcoqq1j37t0bLUvcCSshAAEIQAACEIBARghUpWDFvlNydm9KvvrqK6+MxdvJ0V0O7lqOQAAC\nEIAABCAAgXoiUJWCNWDAAJ92QXUJv/3225Jc5Og+Y8YMW3311Ru2eemll2zmzJm22GKLNSzj\nDQQgAAEIQAACEKgHAlUpWMptNWTIEO+0PnjwYJs0aZLNmjWrgcuXX37pHdu33357i6LI9thj\nD7/uqaeespEjR/r3m2++ecP2vIEABCAAAQhAAAL1QKCqKEIBuOyyy+yXX37xjuwbb7yxtW/f\n3nr37u0tWrlWreOOO86GDRvmmR166KE2bdo0W2aZZWzvvfeuB46MAQIQgAAEIAABCDQQqMqC\npb107tzZ57Q699xzTVOG8sv66KOPvIIlC9egQYPs8ccftxNPPLHhSxdccEE7/PDD7dlnn7VO\nnTo1LOcNBCAAAQhAAAIQqAcCVVuwYgiHHXaY6aWoQvlbSblaYoklimZqHzduXNys7P9KXCq/\nrffee88WWmghW2GFFWzeeectuz0bQgACEIAABCAAgZYiUDMFK+6wFKuFF17YK1i1KoNz/fXX\n25FHHmmffvpp/DWmLPKnnHKKHXzwwQ3LeAMBCEAAAhCAAARCIFD1FGE8iIkTJ5oc3ZXzqmvX\nrl4B0vTfJptsYpVYrOL9ynF+hMv6rn2ddtpp3op1/vnnm6YZDznkEFM9QwQCEIAABCAAAQiE\nRKBqC5aiA3fddVe76aabCsb1448/2kMPPeTrEV5++eW25557FmzT1AIpVfoOOdPLiV6i6cG1\n1lrL1lhjDZ9BXt+PQAACEIAABCAAgVAIVG3BuvDCC71yJavV6aef7i1Mih784osvbPr06TZq\n1Ciba665fLTgzTffnGrcqnOogtAqEr3hhhs2atu/f39beuml7fXXX2+UwLTRRnyAAAQgAAEI\nQAACrUCgKguW0jOovqAiCZ955hlbdtllGw1BpXBUImfLLbe09dZbz2TF2nnnnRttk/RBKR9U\njqeY/PTTT/bxxx/7RKXy+0IgAAEIQAACEIBAKASqUrAULajovr/85S8FylXuAJW+YYcddvC5\nsjRtWKwodO725bw/88wz7ZtvvrH99tuv5OaymE2ZMqXR+pdffrnRZz5AAAIQgAAEIACBWhOo\nSsF64403fH/kE9WUrLjiinbjjTfaiy++aGuuuWZTmyeuv/322+2kk06ypZZayk444YSS28r/\n67rrriu5nhUQgAAEIAABCECgOQhU5YOldAySt956q8m+vfnmm36bPn36NLlt0gbXXnut7bLL\nLtazZ08bO3ZsojXs+OOP9xYsWbHi19prr520e9ZBAAIQgAAEIACBqglUZcGS87kyt8u36oAD\nDvCpE4r1SFOJt9xyi/Xo0aPkNsXa5S+T1UpK0+KLL25KC9G3b9/8TRp91nZ65Uq3bt1yP/Ie\nAhCAAAQgAAEI1JxAVRasLl26+JI3n332ma2zzjo+mvC///1vQycVSXjppZf6/FiKBlQ9wkpE\naRqU80rKlaIHJ0+e3KRyVcn30AYCEIAABCAAAQjUgkBVFix14JhjjrHnnnvOW5Q0dSdRCRuV\nzPnuu+/8Z/3Zaqut7KCDDmr4XO4bpWpQ/ixNDWofyrdF/cJy6bEdBCAAAQhAAAKtQaAqC5Y6\nPPfcc9uECRN8IlBNGc4+++z29ddfe+Vqttlms+WXX94Xg77nnnusXbt2qceoBKNSroYNG2Z3\n3nknylVqgjSAAAQgAAEIQKClCVRtwYo7vM8++5hev/76q7399tumHFbyf5KSValoilEWMomU\ntm222aborhSdKEUPgQAEIAABCEAAAiEQqFz7KdF7KVTKsF4Leeqppyz26XrkkUdK7nLWrFkl\n17ECAhCAAAQgAAEItDSBVArWNddcY6+++mpVfTz77LPLbq8M8HJwRyAAAQhAAAIQgECWCKRS\nsO6++24bP358VeNLo2BV9UU0hgAEIAABCEAAAq1EIJWCteOOO9pqq63WSl3layEAAQhAAAIQ\ngEA2CKRSsIYPH56NUdFLCEAAAhCAAAQg0IoEqk7TUKzvKgCtFwIBCEAAAhCAAATaIoGaK1hK\nrdC5c2dTlncEAhCAAAQgAAEItEUCNVew2iJExgwBCEAAAhCAAARyCaBg5dLgPQQgAAEIQAAC\nEKgBARSsGkBkFxCAAAQgAAEIQCCXAApWLg3eQwACEIAABCAAgRoQQMGqAUR2AQEIQAACEIAA\nBHIJpMqDlduw1Pt5553XHn74YWvXrl2pTVgOAQhAAAIQgAAE6ppAzRUsFXveYIMN6hoag4MA\nBCAAAQhAAAJJBJgiTKLDOghAAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAA\nAhCAAAQgUAEBFKwKoNEEAhCAAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAA\nBCAAAQgkEUDBSqLDOghAAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAAAhCA\nAAQgUAEBFKwKoNEEAhCAAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAABCAA\nAQgkEUDBSqLDOghAAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAAAhCAAAQg\nUAEBFKwKoNEEAhCAAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAABCAAAQgk\nEUDBSqLDOghAAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAAAhCAAAQgUAEB\nFKwKoNEEAhCAAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAABCAAAQgkEUDB\nSqLDOghAAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAAAhCAAAQgUAEBFKwK\noNEEAhCAAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAABCAAAQgkEUDBSqLD\nOghAAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAAAhCAAAQgUAEBFKwKoNEE\nAhCAAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAABCAAAQgkEUDBSqLDOghA\nAAIQgAAEIFABARSsCqDRBAIQgAAEIAABCCQRQMFKosM6CEAAAhCAAAQgUAEBFKwKoNEEAhCA\nAAQgAAEIJBFAwUqiwzoIQAACEIAABCBQAQEUrAqg0QQCEIAABCAAAQgkEUDBSqLDOghAAAIQ\ngAAEIFABgUwqWPfee6+98sorFQyXJhCAAAQgAAEIQKD5CWROwbriiits2LBhNnHixOanwzdA\nAAIQgAAEIACBCghkSsEaO3asHXjggRUMkyYQgAAEIAABCECg5QhkQsH64osvbJdddrGtttrK\n2rfPRJdb7gjyTRCAAAQgAAEIBEcgE9rKkCFD7KabbrLtttvOLr/88uAg0iEIQAACEIAABCCQ\nSyATCla/fv1s0qRJdvvtt1vXrl1z+897CEAAAhCAAAQgEByB2YLrUZEOjRkzpsjSphfdeeed\nNn369EYbzpgxo9FnPkAAAhCAAAQgAIFaE8iEglXpoMePH2/XXXddpc1pBwEIQAACEIAABCoi\nUNcK1qhRo2z33XdvBOaYY46xZ599ttEyPkAAAhCAAAQgAIFaEqhrBWuZZZYxvXKlR48euR95\nDwEIQAACEIAABGpOIBNO7jUfNTuEAAQgAAEIQAACzUgABasZ4bJrCEAAAhCAAATaJgEUrLZ5\n3Bk1BCAAAQhAAALNSAAFqxnhsmsIQAACEIAABNomARSstnncGTUEIAABCEAAAs1IIHNRhEOH\nDrUoipoRCbuGAAQgAAEIQAAC1RHAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASq\nI4CCVR0/WkMAAhCAAAQgAIECAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQIC\nKFgFSFgAAQhAAAIQgAAEqiOAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CC\nVR0/WkMAAhCAAAQgAIECAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgF\nSFgAAQhAAAIQgAAEqiOAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/\nWkMAAhCAAAQgAIECAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgA\nAQhAAAIQgAAEqiOAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/WkMA\nAhCAAAQgAIECAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgAAQhA\nAAIQgAAEqiOAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/WkMAAhCA\nAAQgAIECAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgAAQhAAAIQ\ngAAEqiOAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/WkMAAhCAAAQg\nAIECAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgAAQhAAAIQgAAE\nqiOAglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/WkMAAhCAAAQgAIEC\nAihYBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgAAQhAAAIQgAAEqiOA\nglUdP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/WkMAAhCAAAQgAIECAihY\nBUhYAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgAAQhAAAIQgAAEqiOAglUd\nP1pDAAIQgAAEIACBAgIoWAVIWAABCEAAAhCAAASqI4CCVR0/WkMAAhCAAAQgAIECAihYBUhY\nAAEIQAACEIAABKojgIJVHT9aQwACEIAABCAAgQICKFgFSFgAAQhAAAIQgAAEqiOAglUdP1pD\nAAIQgAAEIACBAgKzFSwJdMFvv/1mU6ZMsY8//thWWmklW2qppQLtKd2CAAQgAAEIQKCtE8iE\ngvXmm2/a0KFDbcaMGQ3Ha7nllrOJEydanz59GpbxBgIQgAAEIAABCIRAIPgpwiiKbM8997QP\nP/zQbrjhBpOydfnll9s777xj66yzjn3//fchcKQPEIAABCAAAQhAoIFA8BasSy+91J588knT\n/1122cV3fMkll/T/99lnH7vxxhtt3333bRgQbyAAAQhAAAIQgEBrEwjegnXttdfanHPOaTvs\nsEMjVvo811xz2ZVXXtloOR8gAAEIQAACEIBAaxMIWsGaNWuWPf/889a3b1/r2rVrI1ZdunSx\nZZZZxl544QXTdggEIAABCEAAAhAIhUDQU4RfffWV/fLLLzbffPMV5dW9e3evXH322We24IIL\nFmwzfvx4e/HFFxstlw8XAgEIQAACEIAABJqTQDvnRB415xdUs++33nrLp2PYdttt7Y477ijY\n1XbbbWd33nmnvfHGG0XTNowYMcKuu+66gnZa8Pnnn5dU3Io2YCEEIAABCEAAAhAok0DQFiz5\nWEl+//33osNRbixJhw4diq4/7LDDTMpZrpx00kn2z3/+M3cR7yEAAQhAAAIQgEBNCQStYPXu\n3dvatWtnX375ZdFBx8vnnXfeoutXXnll0ytXLrvsstyPvIcABCAAAQhAAAI1JxC0k/tss81m\n888/f6KC1alTpwIH+JpTYocQgAAEIAABCEAgBYGgFSyNY9lll7VXX33V+0zljkuO7a+99pr1\n69ev5BRh7va8hwAEIAABCEAAAi1FIHgF689//rP9+uuvdvXVVzdictVVV/nlBx98cKPlfIAA\nBCAAAQhAAAKtTSBoHyzB2WqrrbwV6+ijj7Zvv/3WBg0aZI899pidfvrpNmzYsAIn9tYGyvdD\nAAIQgAAEIACBoNM0xIdHKRV23XVXe/DBBy3OKrHxxhv7FAxyhE8jW2yxhSk/Fmka0lBjWwhA\nAAIQgAAE0hAI3oKlwfTo0cMmTJjgLVjKebXQQgtZWsUqDRS2hQAEIAABCEAAAtUQyISCFQ9w\nnnnm8U7t8Wf+QwACEIAABCAAgRAJBO/kHiI0+gQBCEAAAhCAAASSCKBgJdFhHQQgAAEIQAAC\nEKiAAApWBdBoAgEIQAACEIAABJIIoGAl0WEdBCAAAQhAAAIQqIAAClYF0GgCAQhAAAIQgAAE\nkgigYCXRYR0EIAABCEAAAhCogECm0jRUML6CJh988IFfduKJJ1rHjh0L1rMAAhCAAAQgAAEI\nFCOw995725JLLllsVcGyTGRyL+h1FQt69epln376aRV7oCkEIAABCEAAAm2RwKRJk2yjjTYq\na+htTsEaN26cvf/++7b88svbbLO1rAFP9RSffvppGzt2rHXr1q2sAxTqRipZpLqQK6ywgo0Z\nMybUbpbdr8cff9z+9re/2X777Wc777xz2e1C3fCUU06xhx56yG6++WZbeOGFQ+1m2f3aZJNN\nfPWG6667ruw2oW44bdo0O+yww2y33XazvfbaK9Rult2v0aNH2z333GNXXHGFLb300mW3C3XD\nrbfe2tq3b2933nlnqF0su1+vvfaa7bvvvrbNNtvYIYccUna7UDe8/PLL7cYbb7TzzjvPVltt\ntVbp5oorrmhdu3Yt67tbVsMoq0vNu9HQoUOb9wsS9j7ffPP5tQMGDLD5558/YcvwV8U1Ibt0\n6WLrrrtu+B1uooefffaZ32KJJZaoi/HIUivp379/2eZs3yDQPx06dLDOnTvXxbH55ZdfPOVF\nFlmkLsZz2223+fHohtdaN71anrZzzjmnV7Dq4bo211xzeTQqL1cP45k4caIfz0orrZSJ8eDk\nXstfJvuCAAQgAAEIQAACjgAKFqcBBCAAAQhAAAIQqDEBFKwaA2V3EIAABCAAAQhAoM05ubfm\nIf/Pf/5j3377rfXt29fkU5J1kQNlp06dbNFFF836UPxx0fGR71L37t0zP56PPvrIvv76a+9/\nNfvss2d+PK+//rrNMccctvjii2d+LD/88IO999571qNHD+vZs2fmx/PJJ5/Yl19+6Y9N7POT\n5UG99dZbvvvlhuKHPNaffvrJ3nnnHX9Ni/0yQ+5vU32Tr+znn3/u7zm694QuKFihHyH6BwEI\nQAACEIBA5ggwRZi5Q0aHIQABCEAAAhAInQAKVuhHiP5BAAIQgAAEIJA5AihYmTtkdBgCEIAA\nBCAAgdAJoGCFfoToHwQgAAEIBEHg1VdfDaIfdCIbBFCwWuA4zZo1yxTV9eabb9q///1v++KL\nL+y3335rgW9uua+YMWOGvfvuuy33hTX6pt9//z1xTzpOX331lSkaJ3Qp55z67rvv/HhCHwv9\nC4vAzz//bFOmTPERXGH1rPl7o8z7t956qy8NphJrWZB6uq7FvHUd1j1GEcUffvihff/99/Gq\nYP+jYDXTodHBv+yyy3ypEpX4UKkCpWf4wx/+4MOzVWJmvfXWy0y9q2+++cb39YQTTjDV7Yt/\nwKrtuOyyy/qXQugXW2wxe+yxx5qJam12q7DyHXbYwYcu6zgMHjzY14gstveXXnrJb3fmmWcW\nWx3EMtXm0oVfJT4UWn7UUUfZjz/+WLRvu+yyS12koSg6OBY2GwE9IKrEl0qUTJ48udm+J6Qd\n62au+rF9+vSxnXbayZ544gnT9SJUqbfrmjg/99xzvl6nSsspfY7uMcsss4yvrzr33HP7+6lq\nLcalzoI7Nq6mHFJjAq6YdOTqjEXuYEcuL0y0yiqrRBtssEG07bbbRsOGDYtckeTIFYyMXLFp\nv42WffzxxzXuRe12554WIlcw2PdVY9LrgAMOiGbOnBm5kz5q165dtPrqq0fuxPfrNC73w6hd\nB2q4J5eHLHIXTN9Pd7GMXHFa339X3DU65phjCr5J49B4nWJZsC6EBeeff77vn/oo/hqT3i+1\n1FKRm84o6OKWW27p1xesYAEEEgg4y3vDeebykUXHH3985Ky6CS2yucpZgaP77rsvGjJkSKRr\ngn5Lur7pmn399ddH7sE5yIHV23VNkE888cSGc07307XWWivafPPNI/dwHG266abRGmusEfXu\n3dtv4+r8RjfddFNwx6bNFXt2P5hmF3fwvUatyt+ylJR66pHWfdVVV9n//M//eHPngw8+2Ox9\nq+QLVIldSTh3331323jjjf0T7EUXXWQqvClL3dSpU80pWH7XV1xxhe2zzz42evRou+666yr5\numZtc/bZZ9sHH3xg7gZhf/nLX2yeeeaxadOm2ciRI+20007zlp9zzz23WftQq50rkeixxx5r\nTkm0G264wVtLNZUpa9tJJ53kLXN66pblNAvyyiuv+HOqkr7qWIYm+i3I8ptWBg4caO5mkrZZ\ni2w/fPhwP13ubn52yy23+PNs6623tqwns5X158orrzRds90DcgNLXdc0ztCTjtbTdU3w77jj\nDn+N1r301FNPLVlE3GlU9uSTT/pruc5NzaDo9xOMBKfyZbxDb7zxhteo3Q+17JE4Bcu3CdGK\n5Xx2/BPcFlts0Wg87mT2fXaKSaPl+rDEEktEbtqwYHkICzbaaKPImZsj5xfXqDv//e9/I1dt\n3o/prLPOalgXsgXrqaee8v2VFStfbrvttsjd9CJnUveWxnh9yBase++914/HXRxT/4/HF9J/\nWa4rGUuI1tLYgnXooYd6xDfffLO3Xmt8CyywgLdoydKdNXn00Uej7bff3v9WNBbNOOy4446R\ne3j0VvvtttsuE0Oqp+uagO+8887+PlKuldRVEojcw3LkpguDOl5YsNyvqpby4osv+t3Jr6dc\nWX/99b2WLsc9Z/Ist1mLbKdyOO6MtQ033LDR9zmTuTmTrDllqtFyfXDTU/bss88WLA9hgRg7\nRcrcNGaj7sw777w2fvx4v04+TCr/4y68jbYJ7YPGInHTzwVdU99VkmWPPfYwpxx7v7jQS0s4\n5c9bEA488EBz0zP+fdeuXQvGlpUFEyZMMFl35LOksclKWo7IIhm6yCdJ1zj9Vm6//XaTRUuW\nBufu4Me6wgoreF8Z+QWGKLpOa3ZBwTluCtDWXnttkwXEKVcWn3NZKmdWT9c1nS86PrLilnv+\ndOvWzfsHxtfEUM65xneZUHqV4X64pznfeykY5ZqV5TSuG0qIUzmaGpRoKi1X4hpqcj7MF9Uj\n0/RViCLF6R//+Ief5sivm6ap3AceeMD/sDUdqsAEBSiEKnENSOczYrqh5cuIESP8dIemQ3Xz\nuPPOO/M3Ce7z3nvvbTqnttpqK6/w6uadVdHDkrOQ+OgzKVs6DquuumpWh1PQb41PbgDnnXee\nn6LWlKimdvSSSEHRw5Ye0kITRXNLudIUoKYFSx0XKV9ZkHq6rom37qNy3VAEfjnTz4owlFIm\nh/eQpH1InamHvqy55pr+yc05gfsoQjf1VHJYKlrppqO87498m/KVmJINW2FF/tNcbAGSYpgl\nkSVOyp9zaPepM/L7LqVq0qRJ/lg4R1e7//778zcJ5rMLlPDKiG4QDz30UNHUH8cdd5wdfPDB\n5qbfzE13+KLWwQygREdk7ZFCqBu1lOEsi57A5Wcp+fOf/5zloZTsu6wHOscUcStr3SmnnOKP\nnyIOVdQ6RImj0f71r395Jcs5TJv8mFzgTojdbbJP9XRd02D1gCsFWP6/Sg9SSjS7Ih8s+WrJ\nYq8Hs6AkqAnLOumM/LBifx53gfURg24a0EcRuimDyJnWI3fxaYgilL+Sc3gPcvT33HOP9yO5\n9tprG/VPkTbuRI6cY2ij5foQsp+PS18QLbfccr7vihJyDqwF/dcC+V65qYIGHxpnfSi6XWsv\ndBYE7yOnY6FxFROXUiNy1qyGsWjb0MU9fPgoof333z/0rpbVv7///e/+OuCessvaPrSN8n2w\nyu2fovJClqeffjrac889Ixfy738f7kHSRxA6y2nkHrairPhg1dt1TdcsF2wUObcGf1x0LJzx\nwh8b+cgpytOlDfH+f7qeKXLdWVKDO9XCv9IGh6y8DukEGTNmjL9JKKxZJ0H80o29V69ekZSu\nu+66Kwr5IhQrWC4yMHKRag2vww8/3I9nr732algWr+/Xr59fVx6plt9KIc3uiTtyESeef6ke\nvPXWWz4cWMctVAVLfXfWK38u9e/fv9RQ/Dmm89FZG4I+NiUHwIpWJVCpgtWqnU7x5Qrmufrq\nq6N11lmn4Tqt373LLxfJEV7X89Cl3q5r4v3222/7oIMFF1yw0XHRsZHy5dxwIhdBHCk1UojS\nTp1ynUWakYDmkTVHrJBt+f3IdyGeYmvGr63JrjW1JMfVSiQLp5a7cHr/t6TxuWg9P7W22Wab\nJW3W6uvKGYuqCMgvyOVka/X+0oHiBJRqI98/sPiWLbdUv2VVAXAPi2U7Hrdc72r7TW4Gwpyy\nZS7vlbnIbr9zl4fJT3sqUa+zFNf2C5thb+VcC/75z3/680yuBlkQ3T/l3qHfh/w0FZgUuqBg\nhX6EWrl/yk2kHEuVyBlnnFFJs2DaqLTRpZdeam561PvPKIt91kXKohzJQ3Q8LpetfDOkgDgL\nZLlNWmU75YoT63IjoVTqSP5L8ndUfjOkdQnoeCjoRcqWfDH1oCzJwoNjMXIqdySfOFUTyfep\nLbZ9SMuaUhh1rKSAdezYMayHE3eyIBCAwP8noPxYmrZVXhllcNb1VC/5A4QqmppVZmP5kchk\nLn+fX3/9tVF33ZNftN9++zWMqdHKwD6or87B3U/LurJLDVPoY8eObagWoGPiIqf89E1g3W/o\nzsorr+yrOMgnsylxZVkilyrAn2sh5sFqqv/1vt4lIo2cE3yw+f1i/prKveSSS6K777470pSh\nxJU5ipyzeIOfmabWVLXC1ViMmwX5X5VClKNMbg0umtu7QSj3XzEJNV8hPljFjhbL2hwBl909\nchF3Ue5cf48ePSIlVnTRUcHykHIVK4Fy0I3f55b9kSOvnES1TslH//a3vwU7HpfHpm7KMp1z\nzjmRjokSICoxZynROjfd4Y+PkpM6C12pTVleIwJKYOlS6QQbXFTJMPUQGP/+9V8+pp9++qlX\nUvRZQTvOzaHBMVzKS6hSL6V/mCJ0Z14tpd7KfdSSTWj7chcXn5LBPfGZcknJzByLcwg3F13k\nfU7iZaH9ly+CQuTlF3P66afbbrvtZq7+oPeZU+kPJd1T+SVNU7mnVZ/fS7mKVBg6VFFyQeWQ\nyy/LpIS2Go+mOPPLMmncIZZlEmPluFPySoX/6zi4rPt+GkPr3E3EDjroIO/ro3QnKvejKUId\nz9Ck3q5r77zzjk+SrHxLzmIdbGmics8DlS1TWhn5h6lUmbNg+8Sv7iHR5FOm8llKE6IpNF03\ntI1cP9Ruk002KfdrWmw7F1TkyzDpf35JM+W7Ouywwyy3pNnzzz/vc5nJjUNtgpFQNdis9qve\nyn1k9Tgk9VspMVQOx/kiNDzxqVCy8xmLXDZqv8zdUJJ2EcQ6lx/G9zXXWqWOxZGfivRUxKpS\nhWja0CmQQfS7VCfqrSxTPE5NdajYu7vo+1QNzv/NW09UUkrLVEj9kUceiTcP8n+9XdfiqEjx\nV5S3uylnuni1orzlIqDfUCzxdUDnV77LgMsZFclCf8ghh8SbB/W/Xkr/kMm9xqpuvZX7qLcn\nVz0NXXzxxSaHTz3dOb8kby1xOVX8mSCH9qyIq7/lu7raaqs16rKbZvKf9YSnDM8qAVQs03uj\nRgF8qLeyTDFSl5LFW0oV9KEnbJfGxFsUZWWQdUvWUlkiQ5Z6u67FrJXQVhadrBevVjJOJdvM\nrTyh5NUKBvnTn/5U4NQuS5Z7qDQF8oQoslbXQ0kzFKxmOLs0FVAv5T5cLig74ogjKqIkZSY0\nefjhh32XdEEdNWpUyemYLJTI0I1Bkh+u3KdPH79c0WvOMlK0XqTfILA/9VaWKRevpgA15ayo\nNOcT51dpqlPT03Htu9ztQ3xfT9e1mK9Kfo0ePdpcwmE/XSuFV9OGmkLTy/lkxpsG/V8KupSs\n3Gg71R7VlHOxUjOqMKI0DbvuumuQ49KDYT2UNMtWnZMgT4XinaqXch/xk6t+pLphy9fFRXOV\n9SpOpnWXqkCtlCfN0+viKf8dlcbRhaleJA7BVhHoYsW4Qx9n3P+4n3HOOCkpWZXbbrvN+8dI\nuVp//fVNOdVUpkWWRRcpmZlh1ct1LR+4ilfLWq/rgXIW6gFMN3kVTVdR+xdeeMFbvfPbhfJZ\nflQuUMecW0Cjcj96yFUZo1xRugmVCpMVv1ih+NxtW+t93ZT+CWritc46U0/lPmIfjKyUjkg6\nldzUWuRyFEVuas37wLiLSOSsPj502eUf8suy4IMV+1g4BbFguBrTzjvvXLA85AXxeNw0baNu\nZrUskwahlBPOSuDPKUVwumAE7wvnFHrvB6gSH/KTO/rooyOlCMmC1MN1LfbBUpRwvuj64IIR\nIqf8NjcjkiIAADQ5SURBVFwf9HtSRKh8NUMUlcqJr2fyudQYiokr+B652RU/LpVs03kYotRL\n6R+mCJtRRZ9vvvkSC1U241fXfNfxk6ue5mS6dU6INf+OltqhzOkHHnigfyn6RIkENa7TTjut\noQuuFpmpYLemerMqWZjmLMb2mWeeaeQz4nLc+M0UXSgraq7E04q5y0J5L2uVMn+/++671rdv\nX3+OxRGQ6uORRx7p/Uw0LaUoUE3n6jxUIsiQpZ6ua8U46/ogq49eOufkViD/QEXoKsltiCJf\nK0XYuiAdX/i9lE/f999/7/3/NDZFFoZ6jdB4NOX5P//zPzZu3LiSrhzyN5UlWNG4iogMTUjT\nEMgRUQmAfF+aQLrW0A2VWVEosJx05ZhbTyJzucoCSdmSAqkpQ01NyVFUfgpSMOUYGpKovypj\n5OpBmksw2qhr8i/TxUc372Jy1FFHFVvcqsvi8VTSCfcUXkmzZm0j/ppa0vFxhWgbOSDnfrGm\npEaOHOnPP5czy6cN+OMf/5i7SWbfy09QN8vQJE7T4CxY3ger3P7pupDlqWpnGfLKSv40fLnj\nb63tyuEeYukfFKwanzGu8K6/oKy33npl71maum6E+tEjrU/AFQ41RRPqFR+T4PKrOEz1ppDI\nB6aeyjLJv0VP1ltvvXVZJ/WFF17oA0rkHyMfwZBElhzliXPZ5svu1ssvv2xumtqUtyg0qVTB\nCm0cpfqTq5AoF5se4HNFZaZWWmml3EVBv8/qeFCwanxa6aYnR0kpWnHof6mv0FO3y0/kzaBy\nPAzxKbxU39vCch0PFUa+6qqr/MUoNKuP8yPxNdIqORZKOog0LwFNx+SGzZfzbdOnT/fO1qFF\nd+m65vwvfVTaX//61yanllSHUVOgsmCFeF1Tn+qteLXGpOm0OKmoHPclmnHQeZUrip5UioaQ\nZ03qYjxuEEgNCbgnPe+0qrIE06ZNK7lnlTBQ/Th30vv6cC7ao+S2rbnCVZOP5GSsUjIIBEIg\n4ArWRnJSRlqOgH7/zuLhr1e6bun6VUy0fPPNN/fbyYHfpQkotlkmlrmp20h1JJ31JBP9df5K\nDfcT1U2MRc7vKteke4xeQ4cO9du5bOjxJkH+r4fxUIuwGU4t1YdTZJBzBo2cebzgG5zTZEM9\nKGXZ1edQpVRkl2pFKfu0M7WH2vWy+qWs7qoF5576fC1C52QcOcf3RlmdVRTVOStHzvm6rH2G\nvpHLgRN0F3VOnXzyyZELMvBFa+OitC7VQcNNXg8mqq94//33Bz2W3M45J2lfMNg5GEfOyh05\nS1B05ZVXRorKy4Io+7fzFfM3Z9XsdFNPjbrtnIyj3r17+/XOqT+aOnVqo/UhfnD5r6JBgwY1\n6qvGoWhBnWN6OYfxyCXrjN5+++0Qh+D79MQTT/h7zrLLLhvpPMsVZ8HyUdLxMkXouRQUvi6p\nC8CIFwf1v17Gg4LVTKdVrGS5LM4NxVtVrkBpAKR86YerYpulwmmbqVupd1tKwXImZz8G55uU\nep8hNNBFRkqTnrLjC2nu/+7du0c6hpILLrjAHzMpXiGJqzNYcJNrqn+ysKoIbKiih40uXbo0\nOiYq+SNLgkuc6B9MpJw4n8WGAsluOj7U4fh+yRISl8rJPcfi90rfoFInemjJgjjfRH8slLZA\nirAUL1lDXESaP24aS27JllDH5KKGfX/V7/ghV2kM4uMiZdFNs0Uub5lP0aBredKsRGuOU78H\nnUfFHujzFSz10/n7+XHqgTJEqZfxoGA149kVK1l60na+PNE666zjT2rdQK6//vpm/Oba7boe\nFSzlJnJBCP5YyHTuSjL4mlznnHOOt5roZqj6ZLrQ6slVNbtcFuvaQa3RnnRs1P/Jkyc3uUdN\nc6j+oi7CGleI4vx1vPIn5dY5efubnpQp3QBVN9I5WEe51jeXosE/ictaEqp89NFHvv6gmKv2\noG4cOg6yxmkax0UY+mOo9bKaSBnLgshKEuddcn48/pxSfiWXhDgL3Y9cMfTIRTdGrjhyFOe8\nUx4ynXt6uUjiRrU7XTSozx81cODAIMencUiRKibFFCxZF3XOyYoaotTLeMK80oZ4xCvskxSp\n2GKlE1o38yxNq9WbgqUbtAuf9xeXbbfd1j99Fzu0LgIqWmONNfx2Lj2DvyAX2641l9Wbv5+L\npvW8pYDkyqqrruqXF5tyuuKKK/y6Uj5Buftp6fe6iS+++OK+f5oWzC+4G/dHxaCleOn6sNVW\nW8WLg//vqjo0urbFFt/gO+46qGlA8b7mmmsauislSsty/ZcaVro3l19+ubd4f/PNN7mLW/29\nptBlid9jjz2K9kUPh7rW5Yos+Hpw0QNkaFJP48lu7Qn3S8iCKBpI4f7KnaIcN87fxxQii7QO\nAXeRNCUXdVXkTclES+W2Wn755X05CfVSkVCKOApN1lxzTV+6yF3wfb6ul156qaCLSl658sor\n+yR8zt/P5/hS5GqI4pzXfbeUay1XlItM4p5qcxf793FSTqXWCE1UZ9A9TPnkjy4zeKPkqbl9\nVTHoG2+80dZaay2fekPpDUIW57fo86/tvvvuPiWNmx701zZd61S/z00Zhtx93zcV2pY4647/\nrz9xbqj4nGpY8f/fqMan2umYhiTK16f7i/IUFhNd8+64445Gq1RWxylW5mZTGi0P4UM9jQcF\nqwXOqFjJUti2bhbuabsFvpWvKEbAPWX7i9Fxxx3XZKi56pE5C4S/ECnDdoiiTOGqD6lklUpO\n+frrr/tuKmfR3/72N7/MRYL6mmrKR6TcTKHKIoss4rvmHNcbdXH8+PH+szJp54uzavlFIT60\nqICwm5K1clJi6OZ+7rnn+rHceuut+cMM5vOECRNsxRVX9IqgmyL04f/qt9IA6LOzKHqlRQ8x\nIUusWOkYxSIF3rkD+Izo8bLc/zoPneuAuanc3MWt/t5ZokwPT8UesEp1Li44rutbaFJX4wnN\nPJj1/rgnae8cLXN5/isOX3YXqIJ1oZrX62mKUH5I8rtw+cmaPM2efPJJb0J/4IEH/DRI6HX9\ndP5oKjrL/n5xdJNSnDjl0PvzuEz13sFYvxkdN/eU3nDsXOZmH+GlmnGhiVNwvR+fHKTLFfmg\naapnhx12KLdJi22nY+OSpvopNE0tuRxXURzdGXdC/XfKpN9GPoxO8Qo6xYHOLadcRPvuu2+k\n8UnuvvvuSLX8NP0Zi3sw9j6B2jbU60DM3SmBcbdL/pevmSt15sceqtN+vYwHH6ySp2FlK2KF\nRD/GtK/KvrF5W8XjcdM23iFSTpF6jRgxwo9Pjsfxsvz/zduz9HvXRVTHpJSvQv4elQNMohu+\nxh+6ZN3fT3wVzRU7Tce/H2dtjN56661IvnBKfeLKFkVyNpbDvpRKhXSHJq70kleW3DRaqq5p\n7CH6xcTXASnwccRdqYFJSdFvRsdPObNCFQW79O/f3/dT/d1iiy0iV6O0ISjBJeOMnKuAP44a\ni1IghOZ/FbNV9KCU8wUWWCCS/2gpkXLlEsb6MYfqsK++18t4yOTufjm1lHor91Fv5Vg0BeCi\nuSyeWmrq2KuYsHwv3FOuXXrppU1t3urrnSXLnPLrM4hrSk1TB1kT+VPJP87lh/JTnM4K5P1j\ntGz06NH+2Kl0hqZ0dExc4EiQQ9RUmqYI87Nol+qsfHt0bqq8jsrmhCS6DshPTP48Lsquya7J\nn8457vtiye5+2eT2rbmBpqTll+isOeZSZTTqinybVOdTfmbuwayg2HijjVv5g4uC9qWWdM6p\n/qXKGqkepks3YSqYrqLIziJvzjrvfa+0TOdbqFIP40HBCvXsCqRfcoZ0FoKKejN8+PCK2jVn\nI/eU6ssYqQhvOb4UuvCq5If8nFQCKQsSK1lLL720PfbYY+bC57PQ7bL7KCdr+SyVc6Mve6fN\nsKH84+Tj4xLUmgISmhKXudpcbiZzuZhsm222aWrzFl1fSdkfOYSrrqKLCm3RvlbzZQoY+fDD\nD03/nTXIXEJVX/S9mn22ZFsXFemVwfzag7l9cFPq/rzU/9Al6+NBwQr9DKN/NSWgJzjnC2du\nasArHy55Zcn964lWT4GKtJFVxflvldy2NVZI+VUh12IiR2k9mcuK4qZuCzbRzR9pXgKyEEix\nWmqppcxNq3lLQqlv1Hkp5X/RRRf1NeLiiLZS27f0ckWjyorjEouaK7XS0l/P96UgoGhCRQ26\nEmc+4tElszZFquqBS1ZFNwXtnfVT7LJVN830eErN1bK85Qgo/8qkSZNa7gtr+E3K2Kz8RErM\np3plWRAX1el9ENzUX6RMxrnZ9OUIr/IRqtklR10lT1TW+hAl9otxVz8/njT/QxxP3CcdA/lg\nKMeVjo8rShuvytx/1eLTcVFCWJVjckpXJN8fiXKyKZeZKgpoGzcVFWw5lvhccylnMncM6DAE\nWovAbO6HjdSQgKwGsg6MGTPG4mrm2r1LJuifKJTrJt80q5QBLgOyTwdQw67UZFfyg3FJEk25\niXKtHjL/n3HGGeZuIOYcehu+S2kA5CfjCsM2LAvtjfxIFG591VVXWTyNqekm+WfJUqW8VxKF\n/rsyLN4CEdoY1B9ZRo466qgQu1ZxnzS1oadslwiyYR+y5ijVgXwy5BOTJRk1apS3fCrlh45V\nfLw6d+5smnaLRSkOlAKh3qZz4/HxHwJtkQAKVo2PuovSMPdkai6EudGe3VO4T8In5SNfwWq0\nYWAflDRQfiQyMecqWJp20lhc1JOf2nARNzZjxgxzJYFs8ODB3qEyxBwrwqupPldk15SfTP+l\nFMuMrpdysCjRoKsT6W/q8sMIVZQMVUpuPcl+++3nlSsXreancuX47ayjdt555/npTldsOFPD\nlXLorKHmwvu9gqhcZK6uoml610VEmotM8+eaHKjnnnvuTI0ty51VMFKuEp9mLDqeSOsT0AOK\ncn+5Sg/BBh+gYLX+eZK5HiiZpTJT6wavm5+iVGJRAjsXmu0dwhWtErIMGjTI9JIoekjWE1kQ\nZN3KmsiiqJuGsrbni/yxFAkpf7KQRQ8mbirK91WKiAud991VNKQsPHIAz5qCFfOWop6bQV9R\nkFmzxmks+p3Iqp1GZBkOTVzaDx9xV0m/QlSwFBShB9y04tJS2AEHHJC2WYtsr2uaolf1UuUN\n+c1K9NsZ4SKlFVWs2RM9mMjqrYji0HwXUbBa5FSpry9xfiP+JHc1uxopVxqlbuLKIK7oIVm/\nkpzIQ6GizPq6ieu/nIwVuiyLXFZEFrj999/fKyRSTPJF07hSvnRs7rrrLm+NzN8mhM9S3HXB\n1JR0rFypX0rHIMdcKV+yECsMPesSK1f6jejYyKpdqmxTSGPVVK1eacT5v6TZvEW2dbnUfMoJ\nKRg6FnIbyD3nWqQTNfySt99+21/D0u5SEbmhyuGHH96QrkQKZKxgKdpWkdJ6aNHDvFLuaCZC\n0+6ydIckKFghHY2M9EUhzBJFqBUTWRtUqkVPVHoforiko3b00Uf73D7FanjJOqdpUE3tqDZW\nqDJu3Dgf0i/eynmjm5mmOXNF0266AMm6KB9AXZBCtCqo3I+kWPoF+cPpyVV5yUKdes5lnvte\nSq+iBMVcEay6MUiRVC0/RXpJyZLSqCnriy66KGhFS5bQYscnd7xZee+KIHuLtSuwbSqDI4tI\nVkWzBfp95IseGKW86yGsmIQWGR33UTV7lQtOqXT0sK4IW8lrr73m3SIU2e2Kw3trt8a94YYb\n+lkV+T2XkxIl/p7m/h/unaO5R87+KyYQ1/HS/HexRJZy1pWE6r+k8HkpTlIAXVkM7zOmfDd6\n/+9//9v0NCirgm6AqkGoAIQQL0Sy5sjao37LuqNahMVEiSulZMnyIDO6ptriunfFtm+tZXFw\nQTEzf2wJzU8E2Vp9Lfd7TzrpJDv++OMbNpdyorxYegK/7bbbvB/W6quv7hNBXn311X6aWnmw\nQhWladDvol5EliwFuuh3LncHV0Imk0NzUapF+62HLT0gylc2S6Lfhqb+nnrqKf8bifse/zY0\nZShlXyIL5Kmnnuot9JMnTw5KwcpWSE5Mmf8tTkAWEDmvK+mmIu0UwXb66ac3RNypQ3qS0FOg\nknJqfYgKlub1t956a69c6UahQsjK8aMs1YoqlJO+xqf8UrIIKYow7ZRISx0cKbLKmK3gg1LK\nVdwXXWT1RKhcOFKyij3txtvyvzYEHnzwQa9cyfqmgBBFFstfUcfKpWwwV7LEPvnkE3+uyZlf\nkbdSlKXgIy1HQP6ka6yxhrkSPy33pXxTIgFZfeXSoECQXNG1WiKXgVyJA8eUrT4kwYIV0tEI\nsC/yS5B/z/PPP2+uuK5Pzhl3U5GRMuXGjsfrrLOO6QlCTxSuLl68WVD/pUi9++673uQshaqY\ntUQdXm+99fxYFOUla4OUydCm1eSzJInN5/5Dwh8pWfJlkAVLilnWptoShhbkKiUXlcjvLZ4q\nVxoTTT9rSldpJ+LzTzeSI444wgeHKMGtIlmRliEg9ppuQsIgIMu8rk+6n+SK3Drk/6vpwXgW\nJV6v35HuO3qADklQsJrpaGhOXyUXYtFNXSIztHwuckVh26GKTmY9eUtk9ZBSJWVLL021yVIV\ni/xK9CShp/VQTe2yKkiSlKt4PJoWlPVKUUPyX9J0QkiiqDtJ3759y+5WnGdJkWChKliyGsb+\nWPHA4hugpnLip9h4nf4feuihuR+DeK/ACT2gxMqVOiULolKeiH/+9Hr8W/roo4+C6D+dgEBr\nEJA/4iKLLOKDjnK/XyXb5EawySabNDyYxOtV+kz3p1J+wfF2Lf0fBauZiGuuOJ4vzv0KORuW\ncjjM3S7E93pC0A1Crx122KGgi4+5unelfAEKNm6lBbqxyQ+m3CjB2JKQqyy3UtcLvja+QctS\nEt+cCzbKWxCnzpDPWagiq6hexaRUXbsQFSw55Bf7PcTnXn4wQuznl1RHrhiTllgmJV5JU0O7\ngbXE2PmOliegdDMyRuh6Hc8c6OFKokCRfFEqGkk8VZi/vrU+o2DVmLxOjIsvvrjGe83G7ord\nTELruSIG0yR0VMJLiX7oocm6667ru6QINTmxNyUyvUsZ05RIiP5xujgq9Uc9STwFmDsmTdXq\nYSVLolQZmiavF1GSykotheU+zNQLq9YYh65nirCVH6yiuWUN1kOXrlu5D/eaEpTPr/xL5fQu\n146QBAWrxkdD0y6hJm6r8VAzuTuZkdPc3HQzlISYy0cKiRxBpWApikZpJ0qNTQritttu66sM\nyBJRarvWPKiaFpAfEpJdAgqjlyUu1OnnmKyr/WrDhg2LP6b6H+K14LLLLvPl2PIHoik1+TOp\nVFMxWX/99RuSLRdb31rLNttsM1MErnIqKmJQogdjud7IbUUipUsKlR6aFWWslDXdunXz60L5\ng4IVypEItB+yeCgVQCnRNIcuqDqxdcPX08WAAQNKbc7yGhNQaL/C/I899ljvmySfMVkbNLUp\nPyZdhF5++WXT1JoutJriievh1bgrVe9OiqIukorqyoI1tJwBu2LoPkI1d1vdEOSHqYCLXNHx\nCV2UAV3TMUpQqeMUi6JuVe5H0ZASXQtkyQ/NohD3N/e/fi/Kt5RlueSSS0x+SMVE/r8nnHBC\nsVV+eVzNougGrbhQ1zSl05ElS0qVkormWt718KvXnnvu6V+ydoUmKFg1PiLyQ6q0lIKih0IT\n5R3STboc0Zy5Lqpyit9rr73KadIq2yhRarkZf0P0vcqFJt8YPY3rQiTn79gBXBee/IgahTaH\nnrH6mmuu8akyZPbPws0591gUey/LoRKIFpNSy4ttG8IyKVdKZyDFPbeYu3zNlHJCY1XCR01B\ny9KgdCgKToj9GEMYQ9wHKYCyYEmp1/VNueSUpFIlV+L8SvG2WfgvS49qqaaV/Gi8tO2be3tV\n1YgtWPnfteSSS/pp3hCt8XFf2zlzZ3h1DOLeZfC/6ibVk+lZfjv5UY/5h0UKi/JJKUWD6q3p\ngqsovTh9Q/72rflZTzmlnvSS+nWCewLMTRiZtG1rrJNPiZLz6aX0DcqvpBuFLqCKYlPIs7K4\nhyw6z1QG44ILLvDd1IOKElvq5pdFkYVHv4u0ogjc0KJwdR1QUV1FPCt/nKaZY8VJSonOu8MO\nO6whga0s38r3pYivOPFwWg4tsb2uXco9JqucHhCVPkPT7lK2pDTGAQkt0Re+o/4IoGDV+JhK\nXy0niaMcLPfdd19/8dENRDdv+dBkXTTNodxRyvejp9jQRJaRSupvDRw40PSqB9ETu6ZFQhVl\nOpdyLkVRU5qaSsu1mITa71r1S+lOQlMqlZJFirquUcqjFov6qqhcXfdUyzM3gGTjjTf2ufNk\nWcmPmIzbh/RfU7eK/JaypZQA6rMUXSmQemjOWjb0kNim7Yt+/7KYphVNU+sVjMiChbQsAZeE\nM3I+S7IcRs5/JnI+Mi3bgWb+NueHFbn8P5F7Gmzmb2L35RJwN8Lolltuidy0mz/vym3XWtu5\npIKRix6KXBReNMccc0Qu83ndn0/OChk5q13krHathb3k91577bX+vHFW6kbbOJcIv9w5JTda\nrg+uWK9f53LnFawLfYF7AI6cG0Hk/En9GJzCGzklK3KVKoLsulMCI6cAp3455/ggx+Oi8T13\n3SPTvNxMQ1DjwQerBVVdTRfIaiWnPXfT8JFfcjguFsrdgt2q+Vdp6kBJMBVRpKzVWRJNhch3\nSY77WXjqboqtHFwVYSRneFkYJHEUTlNtW3O9+KucjHzL9JvR70S/m2I5cNRPTVmFKLJUy+Kj\n5KmattX0k+pA5jtVa71C0+UkHuJUdGxNyJ8yi33+VEYrX+II3HxfwPztQvwsZ2r5/uil+qSq\n56mpRL3cHTy4LutaW4nrQyVT2C0xeM1+/PLLL6m/KrQoQp0sSAsQcNMcDVYr5xcTuULJLfCt\nrfMV7obonzrcDaV1OlDFt7oLqu+7KwtUxV5at6ksh04ZiYYMGRI5B1A/HqcsRi5aKJL1VJaS\nLIm7wUUuH5kfh7viFv0f4nhcgEjkfP4a+hsfC+cEHrkbm++yLIv77LNPwzba3tVhC244LvjA\n99FN3zbqW2zhcVOIjZbrg/PBimT5cQpWwbrQF7ibe+R8xyI33RS5KVA/dqcwRi6SLciu6zcv\nzk293INW5KY6/Xj69+8fuYL3QY6nXjqFgtXMR1IXUldixZ/QmuqQ+d9ZSZr5W1t39y5CJ1p0\n0UVbtxMVfnuWFayZM2dGp5xySuTySfnzLVZGNA2dxWkaKR/6vXTs2NGPR9NQLqFg0VeFh7tZ\nm2m6QsdAiq6LEI6cj0/k8nz5Zc4iEjlfwMgFH/jPGuMZZ5wR7LVh+vTpvp+ato3FObx7BV7K\nr/M7jRf7/85yGrlUG17BbLQi4A+6Lk+cODFy/j8NSpWmqF1kZOSibyMXJRlw75O7pilPV7PU\nH0Pdh5xVNZOKb/Iow1uLgtWMx8Rlnm34oWp+PMQn01oP30WB+R+xS2pZ6123yP6yqGA9+uij\n0fbbbx+5Gl6evZtei+SToZuFK6cTuWioFmFXyy9xRV0j54jvx6MnbheVWsvdt8i+pBC6BIiR\nmy5v+D4pIrJSufQa0dChQ/341lxzzUjKSsgiy4ib3oxkCdW55vIuRW6a0/ffZd9v1PUPPvgg\nknVEymX+ukYbBvBBSpWrTxq5XEoN12pZGuWr6FLORHpoybq4YvVtZvYktGOFD5a7CtRa5Gux\n//77+/l6Fa5URlpF38Q+CbX+vubcn4o733333YlfoWzByo2jgsj/+te/TOVllNYAaV4CTmH3\niV2dmd/7i8m/Z/jw4T7qSUWGJVnz73PO7T5pqvKUKRpXyQWvuOKKgsLIzUu2NntX9Jzy+ORG\nn8mvT+W0FM2qlAcqAyIfrdCPk/qnCDsltXWO3v4lSjrfcvP+6bonnz93o/P+c6Fm5le0s7P2\n+mu0ogd1XJQgWYmSlZ4h5Fqd5Z6dTjn0/otK3iufX41XvoxZvA+VO+bQtkPBqvER0U1PKQr0\no5VydeSRR5qSQd51111NflNujaUmN26hDV555ZVUDsQKq5eDosqeIM1LQM63Uq5001MCUeUp\nKia6eWRBpMy76TQfni1HfDmDK0tzVkUPHrnKVTyOOJHl3nvv7R354+Wh/+/du7e9/fbbPpmt\n0jaoFqZSl+SeX0pMLEXfWedMVQVCFfX/yiuvbHgwcVY5c24NvrvO/zKx287lI3F9CCtVt0/8\npeQrvYaLAqVQdyscGBSsGkPXTU/KlUQRabk5Y5r6qhAVLOUfihM/luq/8x/xuXAUMbj00kuX\n2iwTy3fZZRefnDO3lppulIoGkzUiJFEfFY0mq6GULCUV1dO3MoTrZpg1kTKvaDXlT9LNL1ZE\nsjaOpvobWxBCrnZQagzKz6U6cXoVE93I4/EVWx/aMlnaZHnXq1xRm1BFsyeKRlXCa1mtlKhX\nEbZZOiahsq2kXyhYlVBLaKMEjmmUqoRdBbFKSkXIT6K1hiRFRS+JLCqXXnqpf/oTg9CmPTXV\npPBsJeZUGgZl09aUk6ajlUF7xIgRPuVEyDeE3OOn+oOyxMmy0xYkuJDyGkDPyo1cD4KqdVdP\nogSpSiehB3xZs6XstqUEvSEeSzK5h3hUAu6TfGQ0BaicK7Lq6InWOVKbqrLnTxcEPIySXXPO\nvL7gsIqnqtxHrJxoukqlQEIWlcuRf4yUraeeeqqhq7IsXnTRRebSNDSazmnYIMA3Og6yaEmJ\nzBfdSGTd0lRUyKKyTMpsnnss1N8TTzzRK+tS4FVPDYFAtQRcqg/vq6j96LyT71s5yq5qMmYt\nV2G1rFqyPQpWS9LO+HdpXl9JH7/77ruiI9HNQhYfFXzNmqh+opypNTUlxVHSo0cP05Sh/IB0\nIcqSyIFaipbLe9VQD09+cXJK1phCLpVz//33+yAROerLpzFfdCykfEnBkm9jr1698jcJ4rNu\ndF9//bWfssntkGre6SX/TBVGzhfVjQxdeczvc1v4rHNRyXpDqxMp9jrXKkk0Kqt8iIlt6+V8\nQsGqlyPZzONw+Yd8VmNZrFxYuXec1I9algb5zTz++ON+qkoOr7KWHHDAAc3co+p3L+vUpEmT\nTNYqZQlXoddYxowZ4xUr+TFkWTSmBx54wCtbUlzkFyiJLXOhjU0RT9tss40/Fn/6059s7Nix\nBVY3nV9ShHVDkR/a1KlTvTIc2li46YV2RP6vP/ot6EFDv3MVdo5FkXe6Fqgwev5D1VZbbeXP\nxxB/Oy6NSUOlhngs5fxXoIIUeqR5CKBgNQ/Xutqry2XjfXuUfkHTg7pxFBOlc5CFS0/t8guK\nfZmKbduay1zCQHOZqX04uaKiJHIWl8+SFBKXy8tbSEK28lTCT0/fsmjJsqWCz6GJlL+lllrK\ndHxUksRlAi/ZRSn28ouTxVRTt5rCDU1c7Uc/lrT90gPMGmuskbYZ26cgICdwFXCWn9Luu+/e\n0PLJJ580lwPLRo8ebYceemjDcr0JWcFq1FE+hEPAaeMIBEoS+Oabb3xG5sUWWyxy02glt4tX\nOAXMJxh0Voh4UVD/VYBW5TvcLzByU4CRi7iJcgvYOsXLr3NTUEH1uy10xlmrPHuVWipHlCTS\nOSv7TO8qFYJAoFwCToH355pTsBo1eeKJJ/xyp2A1Wq4PcUWOghUsgEAJAu3DUfXoSYgEZEpX\nbhuXGdwnEG2qjyrGqwg2TfXIIT40keO6RI7GH374oZ8eVILBfMnN7ZO/js/NQ+D111/3O3Yl\nPcr6AjnxajpR55kSR9aLyAKMQKDWBBQE4yokmCtBVetds78SBFCwSoBh8f8SkH+VRBm1yxVN\nb2i6J8Sb3uDBg71Pjxw7la15t912835YyhqOtC4BV1LGd0CJecuV+eef32+qacXQRA7Emsos\nV1yBYT8tpSz2CATSEtC5pmz78i3LTZaqa5uucwqokG+ZgneUCiXX5zTtd7F9eQRQsMrj1Ga3\nip2i4yzH5YCI8/voiSk0kW+FogTlKK0xuTpdPrGlmwL1vlexT5az+IbW9brvj9J9SGIrYzkD\nls+MJMTSJvLzUdLXcm5kepDRze/8888vZ9hsA4ECAs79wScavummm0xR0bHIp1TXue7du9se\ne+zhr3sKEsktcRRvy//aEkDBqi3PuttbnKiuWLh8qcE+//zzfpWUlhBFCuCBBx5o06ZNM5XM\nkLO0lEEliFW9LonySckpHGk5AopokijqsRyR8i9lTE/mCyywQDlNWnQbKYzK2aU0H0kKu26I\nKmcyffp0nxdLztQIBNIQUAodRXorWEeBLPE0uxIRn3HGGabSU1OmTPEBLrqWK2+hlHktQ5qP\nAApW87Gtiz3HiR6VYbsc+fjjj01+WwpxLpbjp5x9tOQ2iohUKSBZtXQzVJmW9u3bex8tRU3K\np0zLQ/Qna0lOLfFdOmeU/0kK1qmnnuqLPZf6Xk0JKspQ04qa7tAxC02kOGm6XIWdVQQ5X374\n4QcbOXKkn9KRn6NK5+jhJP7N5W/PZwiUIqAqDnFSW1lN4ySjmjKUHHLIIQ2lp/Rb0e9L4gJ8\n/H/+NA+B2Zpnt+y1Xggoeei2227r5/b1hJRUNkdWIM31q1TDWWedlSkEyu+lWpB6vf/++z58\nWyHcutnrRUK+ljmcSiGh9B4qY/LII4/4803pMv7whz/YV1995dNLvPzyy/78ko+fiosfddRR\nLdO5lN+iQs8PPfSQVwQvu+wym2uuuSz2r5IVQeeainXLJ0ZTNlkoIpwSQfCbK+2Mgl1ieffd\nd/1bJYKVApwrSt4bquh80sNJ/kOtfkMS5ZTLlTjHl+qYIs1IoER0IYsh0EDAWQsiVzzYhy87\nJ/HowQcfjNyFKHJOlf7l/EcihTs7i4/fxkXoNbTN8hvnHBq5Kaho5513jpyZPctDyVTfXaRT\n5Gpg+nPJXfr8f/dE3uizlrubRuQsj8GPzVnZov79+/v+O2UwcsktI6ds+c+uaHLkrL7Bj6He\nOhinaYjPrzT/Q2PhgiMiF/UcOef2Rl1zCqI/z9z0oL9O56501TgiZ8mKnJKfu5j3NSaABcv9\nspBkAnoq0pOQsrM/+uij/qUWs88+u4/IU/STpEOHDj55p+pi1YMoVYOma5Tp2N0g62FImRiD\nEm3qiVzTHnopfcMnn3zis7b369fP+yvpmMgpPAsiS5YqBmhK88wzz/Rd7tixow+0kC8g0vIE\n9Lu++OKLW/6Lm+EbdR1WGax8n1GX08t++uknnzZH1+ZcURUERRfKAow0I4EaK2zsrs4JOH+k\nyOXEipxTbuTm/CNXSsZbG5wfTCTLQ72Jc4L3lgY3RVhvQ2M8LUzATXE2WLJc9vkW/na+rp4J\nDB06NOrUqVP02WefNQzT+WL5a5fzn21YFr9xrh5+nYt0jRfxvxkIYMFqRuW1Hncd+ynFY3Pn\nZEGtuHgd/yEAgf8joOLV8slSIIXShaiOYpJP4/+15B0Ekgm4ihS+hqKCdv761796X0VFFiq6\nVtfsWJQrS0EX8qft06ePLwsUr+N/7QmgYNWeaZvaIxnP29ThZrApCCiaVo75+aJAEFeKyQ4+\n+GBzFgfLT6yq1ChxepT8tnyuDQEF5ChyuBJRvczQxPny2UknnWR/+9vffMSg+qeoQjnxK0WD\nRPVHVWdRQUjO2uWrbcQ5C/0G/Kk5ARSsmiOtzx3KUqXoLeVN0Y9T4eeKMEQgAIHiBJTgUb4u\nSXLyyScXrFbEKgpWAZaaLpBPnIo9VyK6FoYoirx1ATnekiWlStU3cvPDKXWDXsrLppesXUjz\nEkDBal6+dbF31UZTLcKJEyc2jEdOk5reOOecc4LMQdTQUd5AoJUIKGu28sKlFYXbIy1HQGlA\nlKCzHsRF3zZYsPLHowdiWe1CzBmX39d6+YyCVS9HshnHofl9KVdx4s133nnHlCdGOX0UhaJk\niQgEINCYgJI7ImESUB4oWbCU405TZ8qDt9NOO/kHSfkm1aOgWLX8UW0nx/mW/1q+MSsElCnb\n5cAyFdVV6LwcdSW6KKm8h8qBxAWhszCmUn4xpfquZJYyvWvaRgWiEQhAoH4IfPPNN+ZyYvlq\nDXpoVN1IWRClbG233XbWs2fP+hksI2lxAihYLY48W18on6sBAwbY2WefbUcccUSjzivDuy5O\nyrWiXCxZEPkdNOUXU2wcKFjFqLAMAvVDQM7fKi2j0ljKIaUAno022shbtWTtUj4zBAJpCDBF\nmIZWG9w2joJSJfZ8UTFnJatT5XaFnGdB8IvJwlGijxBoeQJKqLzvvvv6l3znVPBdypauGXKT\nGDJkSINlq+V7xzdmkQAKVhaPWgv2WdYpSX4mYC1TNKFEhWqzIvjFZOVI0U8ItB4BRd/pWqHX\nv//9bzvooIO8tV4We7xqWu+4ZO2bUbCydsToLwQgAAEINCuBWbNmmatD6q1YY8eOtS+//NKn\nONCUIQKBcgmgYJVLiu0gAAEIQKBuCSjLeaxUuRIyXqmS5X799df32dC33npr0zQiAoFyCaBg\nlUuqjW+nEh+xP1aMQg7wkptuuskXg46Xx/8PPfTQ+G0w/7fZZhubMWNG6v6oKK+KXSMQgED9\nEJBSpUL28rfS9J8sVUpnoGLiKjGj60WvXr3qZ8CMpEUJoGC1KO7sfpnqWulVTM4666xiiy1E\nBevtt9/2KSaKdjhhoUqaIBCAQH0QUPqVU045xStVih5UxKCipaVUKT3DggsuWB8DZRStSoA0\nDa2KP/wvV44rmcsrkfy0DpXso9Zt5JCvyMd8WXTRRU3JB5Unq5jMNddcPhlhsXUsgwAEskVA\n1zSlXpBiNXDgQNt+++1N14ByZMsttyxnM7aBgKFgcRJAwBFQ0dOVV17ZHnvsMXhAAAJ1TiBW\nsCoZJlGElVBrm22YImybx51RQwACEGizBJZeemlfoaHNAmDgLUIAC1aLYOZLQieABSv0I0T/\nIAABCGSLQPtsdZfeQgACEIAABKojoMhBuQSMGzeuuh3RGgIJBFCwEuCwCgIQgAAE6o+Aijyr\neH1+6pn6Gykjak0CKFitSZ/vhgAEIAABCECgLgng5F6Xh5VBlSJw2WWX2cyZMwtWq+aicuOc\neOKJBeu0QNmcBw0aVHQdCyEAAQhAAAL5BFCw8onwua4JXHLJJfbCCy8UHeO7775rJ5xwQtF1\nWo6CVRQNCyGQWQLKi/f555+n6n+PHj1Sbc/GbZcAUYRt99i3yZHfddddvhxG2sH369fPVltt\ntbTN2B4CEAiQAHmwAjwoddglLFh1eFAZUmkCqi2GQAACEBCBPn36WPfu3YEBgWYhgILVLFjZ\nKQQgAAEIhE7g5JNPtt133z30btK/jBIgijCjB45uQwACEIAABCAQLgEUrHCPDT2DAAQgAAEI\nQCCjBFCwMnrg6DYEIAABCEAAAuESQMEK99jQMwhAAAIQaAYCffv2tVGjRtmKK67YDHtnlxD4\nXwKkaeBMgAAEIAABCEAAAjUmgAWrxkDZHQQgAAEIQAACEEDB4hyAAAQgAAEIQAACNSaAglVj\noOwOAhCAAAQgAAEIoGBxDkAAAhCAAAQgAIEaE0DBqjFQdgcBCEAAAhCAAARQsDgHIAABCEAA\nAhCAQI0JoGDVGCi7gwAEIAABCEAAAihYnAMQgAAEIAABCECgxgRQsGoMlN1BAAIQgAAEIACB\n2UAAAQhAIGQCM2fOtPbt29v888/vu6nPU6dOtZ49e9rKK69snTp1Ktn9KIrsP//5j82YMcO+\n++47W3LJJf2rY8eOBW3yv0ftpk2bZiuttJItvvjijbb/4osv7JlnnrEuXbrYaqutZvPMM0+j\n9bkfPvnkE3v++ef9olVWWcV69eqVu5r3EIBAvRJwFyAEAhCAQLAEnDIU9enTJ3KKSjRgwIDI\nXYsbXnPOOWc0ZsyYon2//fbbI6eUNWwbt5trrrmi0047Lfr1118btdP3LLbYYtH7778frbrq\nqo3aLbPMMpFTwKIff/wxGjZsWNSuXbuG9U7RiyZMmNBoX/rw1ltvRQMHDmzYLv7+wYMH++8o\naMACCECgrghQi7BeNWfGBYE6ISALlVOkrEePHt4Kteuuu1q3bt1s0qRJ9uijj/pRjh071oYO\nHdow4rPOOsuOOuoo69q1qw0ZMsTWXntt+/jjj+2+++6zF154wW93/fXXm/YVi77HKV8N1qgt\nt9zSfv/9d7vhhhvsm2++sUGDBlmHDh3spZdeshEjRnjr1Z133un3J+uaU6ga2spite666/r+\nbrrppqZ9uTuHjR8/3h544AHfr+nTpxdYxuK+8B8CEKgDAnWlLjIYCECg7gjIsuQutZGb3ou+\n/vrrRuPbfvvt/botttiiYfnPP/8cuWk4v/zWW29tWB6/2Wmnnfy6DTfcMF7k/8ffE1vL4pVO\nIfPbqw+yVsmSFYv6s9BCC/n1Dz30ULw4+n/t3c8rP0Ecx/E5yNXBSalPKUq46SPlIAdncfAX\nuJDLJymR3KQcOTu6ISdHohwoJT+KxBkHRyn13df722yf9fnQ58DU7jznYHdn1u7OYy7vZt87\nnyS4srrFxcW0zu/Mzc1Z2/j4uK9iiwACBRQgyb0AQTJdQCAGgeXlZZs1qu5rEmDZ4f39fVr9\n9vbmKpWKW1pacpOTk2m935mYmLDd5+dnX5XZ6j4+30sNfX19rrW11c6ZmZnJ5FApB0t5VSqP\nj4+2PTw8dMfHx669vd2trKxYXfUfPZtyynZ2dmzWq7qNfQQQKI4ASe7FGUt6gkChBXp6emr6\nVyqVrO7j4yNtU3A0Pz+fHmsnyZ1yCsIuLy8tsFHd5+enNjWls7MzU5fkW7muri53enrquru7\nM2068Enr7+/v1nZ9fW1bXUevAeuVJKfL3dzcuNvbW0u6r3cOdQggkG8BAqx8jx9Pj0A0Am1t\nbTV9bW5utrrk7UKmTcf7+/tua2vLgqqnpyfLgdJJmj1S+fo/Vpn8SRLd/W66VZCl0tLSktb5\nHX89f+xn05QfNjAw4Kvrbv25dRupRACBXAsQYOV6+Hh4BOIRUIJ5I0WBk5LQlcSuohkmJcBr\nSYf+/n7X1NRkie/fXSvJxfquqaH65OtEO294eNiNjo7++D/lcvnHdhoRQCC/AgRY+R07nhwB\nBOoI7O3tWXCl2abd3V2XLIuQOcsHXvpC8C+KXieq6KvHhYWFv7gF10QAgRwIkOSeg0HiERFA\noHEBv3TD2NhYTXClq1xcXNjFvsvBavxO9c/s7e21BiW7K+H+a9GSD5q50gzX+fn512aOEUCg\nIAIEWAUZSLqBAAL/Bfyq6icnJ7aOVbWLZrQ2NjasyielV7f/xv7IyIgbGhpyr6+vbnp62iXL\nRmQuq68Iz87OLMndB2OZEzhAAIFCCPCKsBDDSCcQQMALaGmG9fV19/Dw4AYHB51mspS/dXR0\nZIuTKg9LP7Xz8vLi9PWhT5T3//8b283NTZuh2t7etoVIk3W6nBLllXivrweVB6YEfC1sSkEA\ngWIKEGAVc1zpFQLRCui3A7XC+uzsrAVSCqZU9BWiZq+mpqbsFZ1ezx0cHGRWgP8tND3D1dWV\n07pZWrl9bW0tvbReD66urjrNdFEQQKC4AvxUTnHHlp4hELWAcqy0PIN+xFk/8uzXqwqNoq8K\n7+7u7Od2Ojo6MouYhn4W7ocAAuEECLDCWXMnBBBAAAEEEIhEgCT3SAaabiKAAAIIIIBAOAEC\nrHDW3AkBBBBAAAEEIhEgwIpkoOkmAggggAACCIQTIMAKZ82dEEAAAQQQQCASAQKsSAaabiKA\nAAIIIIBAOAECrHDW3AkBBBBAAAEEIhEgwIpkoOkmAggggAACCIQTIMAKZ82dEEAAAQQQQCAS\nAQKsSAaabiKAAAIIIIBAOAECrHDW3AkBBBBAAAEEIhEgwIpkoOkmAggggAACCIQTIMAKZ82d\nEEAAAQQQQCASAQKsSAaabiKAAAIIIIBAOAECrHDW3AkBBBBAAAEEIhH4B+snPg3V6oWnAAAA\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 270,
       "width": 300
      },
      "text/plain": {
       "height": 270,
       "width": 300
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filter(degree_p, degree == 0.1 & is_protein_coding) %>%\n",
    "    arrange(p) %>%\n",
    "    mutate(name = factor(name, levels = unique(name))) %>%\n",
    "    head(10) %>%\n",
    "    ggplot(aes(name, -log10(p))) +\n",
    "        geom_bar(stat = 'identity') +\n",
    "        theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.482517482517482"
      ],
      "text/latex": [
       "0.482517482517482"
      ],
      "text/markdown": [
       "0.482517482517482"
      ],
      "text/plain": [
       "[1] 0.4825175"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "0.468531468531469"
      ],
      "text/latex": [
       "0.468531468531469"
      ],
      "text/markdown": [
       "0.468531468531469"
      ],
      "text/plain": [
       "[1] 0.4685315"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "\n",
       "\tWilcoxon rank sum test with continuity correction\n",
       "\n",
       "data:  degree_p$p[is_protein_coding & degree_p$degree != 0.1] and degree_p$p[is_protein_coding & degree_p$degree == 0.1]\n",
       "W = 37127946, p-value = 3.706e-08\n",
       "alternative hypothesis: true location shift is not equal to 0\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "median(degree_p$p[is_protein_coding & degree_p$degree != 0.1])\n",
    "median(degree_p$p[is_protein_coding & degree_p$degree == 0.1])\n",
    "\n",
    "# compare distribution of p-values\n",
    "wilcox.test(degree_p$p[is_protein_coding & degree_p$degree != 0.1],\n",
    "            degree_p$p[is_protein_coding & degree_p$degree == 0.1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rarities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-06T12:48:09.587474Z",
     "start_time": "2019-08-06T12:47:19.291Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 0 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>name</th><th scope=col>degree</th><th scope=col>p</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 0 × 3\n",
       "\\begin{tabular}{lll}\n",
       " name & degree & p\\\\\n",
       " <chr> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 0 × 3\n",
       "\n",
       "| name &lt;chr&gt; | degree &lt;dbl&gt; | p &lt;dbl&gt; |\n",
       "|---|---|---|\n",
       "\n"
      ],
      "text/plain": [
       "     name degree p"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# genes that vegas maps and I do not\n",
    "filter(degree_p, degree == 0.1) %>%\n",
    "    filter(! name %in% genes_icogs) %>%\n",
    "    arrange(p)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}