01_analyse_drug_sets.ipynb

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   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.colors as mpl_col\n",
    "import matplotlib.cm as cm\n",
    "import seaborn as sns\n",
    "import re\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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    "editable": true,
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   },
   "outputs": [],
   "source": [
    "import pop_stats_plotting_tools as pt\n",
    "from matplotlib_venn import venn2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Plotting settings"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "pd.options.display.max_columns = 999\n",
    "pd.options.display.max_rows = 100\n",
    "pd.set_option('display.max_colwidth', 200)"
   ]
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  {
   "cell_type": "code",
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   },
   "outputs": [],
   "source": [
    "sns.set_context(\"paper\")\n",
    "sns.set(font_scale=1.5, font='Arial')"
   ]
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  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
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    "editable": true,
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     "frozen": false,
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   },
   "outputs": [],
   "source": [
    "import matplotlib.colors as mpl_col\n",
    "import matplotlib.cm as cm\n",
    "cpool = [\"#cccccc\", \"#B6B6B6\", \"#424B80\", \"#440647\"]\n",
    "cmap3 = mpl_col.ListedColormap(cpool, 'indexed')\n",
    "cm.register_cmap(cmap=cmap3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Constants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
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     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "SUPPLEMENT_PATH = \"./supp_data/\"\n",
    "RAW_FIGURE_PATH = \"./raw_figure/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
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     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "GENES = \"./data/genes.txt\"\n",
    "DRUGS = \"./data/compounds.txt\"\n",
    "DRUG2GENE = \"./data/compound2gene.txt\"\n",
    "DRUG2VARIANT = \"./data/variant2compound.txt\"\n",
    "IUPHAR = \"./data/IUPHAR_drug2genes_200516.csv\"\n",
    "TOP100 = \"./data/drugs_drugscom_top100_sales_annotated_v2.txt\"\n",
    "TOP100_UNITS = \"./data/drugs_drugscom_top100_units_annotated.txt\"\n",
    "ESSENTIAL_MEDS = \"./data/who_essential_medicines_042015.txt\"\n",
    "KOZYRA_SUPP_DATA = \"./data/gim201633x1_Supplementary_Table2_revision.xls\"\n",
    "FUJIKURA_SUPP_DATA = \"./data/FPC_2015_08_04_FUJIKURA_PGEN-2015-044_SDC5.xls\"\n",
    "PHARMAADME_SUPP_DATA = \"./data/pharmaadme_core.xlsx\"\n",
    "OVERINGTON_SUPP_DATA = \"./data/overington_nrd.2016.230-s2.xlsx\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
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   "source": [
    "COLOR_MAPPING = {\"Target\": \"#A6002C\", \"target\": \"#A6002C\", \"Target genes\": \"#A6002C\",\n",
    "                 \"ADME\": \"#6C226C\", 'other ADME genes': \"#6C226C\",\n",
    "                 \"Cytochrome\": \"#2A3FA6\", 'Cytochrome P450s': \"#2A3FA6\",\n",
    "                 \"All genes\": \"grey\"}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
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    "editable": true,
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   "source": [
    "def merge_dicts(*dict_args):\n",
    "    \"\"\"\n",
    "    Given any number of dicts, shallow copy and merge into a new dict,\n",
    "    precedence goes to key value pairs in latter dicts.\n",
    "    \"\"\"\n",
    "    result = {}\n",
    "    for dictionary in dict_args:\n",
    "        result.update(dictionary)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
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   "outputs": [],
   "source": [
    "def reduce_drug2gene(df):\n",
    "    rdf = df.groupby(['hgnc_id', 'gene_symbol'])\\\n",
    "            .agg({'midrug_id': {'drug_ids': lambda x: ','.join(map(str, x))},\n",
    "                  'name': {'drug_names': lambda x: ','.join(set(x)),\n",
    "                           ' n_drugs': lambda x: len(set(x))}})\\\n",
    "            .reset_index()\n",
    "    return rdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Data Imports"
   ]
  },
  {
   "cell_type": "markdown",
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    "deletable": true,
    "editable": true
   },
   "source": [
    "## Gene data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
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    "editable": true,
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   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/schaerfe/Documents/Privat/Dropbox/anaconda/lib/python2.7/site-packages/IPython/core/interactiveshell.py:2717: DtypeWarning: Columns (13,19,20,21,22,23,24,26,27,28,29,30,31,32,33,34,35,36,37,38,40,41) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "genes = pd.read_csv(GENES, sep=\"\\t\", comment=\"#\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Drug data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "drugs = pd.read_csv(DRUGS, sep=\"\\t\", encoding='utf-8', quotechar='\"', skiprows=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
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   "outputs": [],
   "source": [
    "# extract drug synonyms for mapping\n",
    "midrug_synonyms = pd.DataFrame([(y[0], x.lower()) for y in zip(drugs.midrug_id, drugs.synonyms.tolist())\n",
    "                                if type(y[1]) != float for x in y[1].split(\"|\")], columns=[\"midrug_id\", \"synonym\"])\n",
    "midrug_synonyms['name'] = midrug_synonyms['synonym'].str.lower() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Cancer drugs\n",
    "ATC code with super-category L stand for antineoplastic and immunomodulatory indications\n",
    "(http://www.whocc.no/atc_ddd_index/?code=L&showdescription=yes)\n",
    "\n",
    "They are further grouped in \n",
    "* L01: antineoplastic agents\n",
    "* L02: endocrine therapy with anti-neoplastic goal\n",
    "* L03: immunostimulants -- also includes cancer drugs\n",
    "* L04: immunosuppressants -- also includes cancer drugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
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   },
   "outputs": [],
   "source": [
    "drug2atc = pd.concat([pd.Series(row['midrug_id'], row['ATC'].split('|'))              \n",
    "                      for _, row in drugs.dropna(subset=[\"ATC\"]).iterrows()])\\\n",
    "             .reset_index().rename(columns={\"index\":\"ATC\", 0: \"midrug_id\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
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     "frozen": false,
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   },
   "outputs": [],
   "source": [
    "onco_drugs = drug2atc.loc[drug2atc.ATC.str.startswith(\"L\")].midrug_id.unique()\n",
    "other_drugs = drug2atc.loc[~drug2atc.ATC.str.startswith(\"L\", na=False)].midrug_id.unique()\n",
    "# exclude those drugs that have a non-neoplastic ATC code\n",
    "onco_only_drugs = [d for d in onco_drugs if d not in other_drugs]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
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    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "228 drugs indicated for cancer + maybe other diseases\n",
      "218 drugs only indicated for cancer\n",
      "1702 non-cancer drugs\n"
     ]
    }
   ],
   "source": [
    "print len(onco_drugs), \"drugs indicated for cancer + maybe other diseases\"\n",
    "print len(onco_only_drugs), \"drugs only indicated for cancer\"\n",
    "print len(other_drugs), \"non-cancer drugs\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Drug - gene interaction data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "drug2gene = pd.read_csv(DRUG2GENE, sep=\"\\t\", comment=\"#\", quotechar='\"')\n",
    "drug2gene = drug2gene.merge(drugs[['midrug_id', 'name', 'drugbank_id', 'ATC', 'isFdaApproved',\n",
    "                                   'isWithdrawn', 'categories']],\n",
    "                            left_on=\"midrug_id\", right_on=\"midrug_id\")\n",
    "drug2gene = drug2gene.merge(genes[[\"hgnc_id\", \"symbol\"]], on=\"hgnc_id\").rename(columns={'symbol': 'gene_symbol'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
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   },
   "outputs": [],
   "source": [
    "iuphar_targets_approved_drugs = pd.read_csv(IUPHAR, sep=\"\\t\")\n",
    "iuphar_targets_approved_drugs = iuphar_targets_approved_drugs[[\"type\", \"action\", \"action_comment\",\n",
    "                                                               \"primary_target\", \"endogenous\", \"hgnc_id\",\n",
    "                                                               \"drugbank_id\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
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    }
   },
   "outputs": [],
   "source": [
    "# add IUPHAR drug - gene links to data set\n",
    "drug2gene_annot = drug2gene.merge(iuphar_targets_approved_drugs,\n",
    "                                  on=[\"drugbank_id\", \"hgnc_id\"],\n",
    "                                  how=\"left\")\\\n",
    "                           .drop_duplicates(subset=['hgnc_id', 'midrug_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8221 drugs (drugbank)\n",
      "5185 drugs (drugbank) with genetic information\n"
     ]
    }
   ],
   "source": [
    "print drugs.midrug_id.nunique(), 'drugs (drugbank)'\n",
    "print drug2gene.midrug_id.nunique(), 'drugs (drugbank) with genetic information'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2234 approved drugs (drugbank)\n",
      "851 primary target associations ( 607 drugs ) mapped from IUPHAR to drugbank associations\n"
     ]
    }
   ],
   "source": [
    "approved_drugs = drugs.loc[drugs.isFdaApproved == 1]\n",
    "print approved_drugs.midrug_id.nunique(), \"approved drugs (drugbank)\"\n",
    "prim_assoc = drug2gene_annot.loc[drug2gene_annot.primary_target == 't']\n",
    "print len(prim_assoc), \"primary target associations (\", prim_assoc.midrug_id.nunique(),\n",
    "print \"drugs ) mapped from IUPHAR to drugbank associations\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# create MultiIndex\n",
    "t = [(cn, '' ) for cn in drug2gene_annot.columns]\n",
    "c = pd.MultiIndex.from_tuples(t)\n",
    "drug2gene_annot.columns = c"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Exclude wrong annotations from dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# exclude CACNA1S\n",
    "drug2gene_annot = drug2gene_annot.loc[drug2gene_annot.hgnc_id != 1397]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "#exclude hyaloronic acid and ethanol\n",
    "exclude_drug_ids = drugs.loc[drugs.name.isin([\"Ethanol\", 'Hyaluronic acid'])].midrug_id.tolist()\n",
    "drug2gene_annot = drug2gene_annot.loc[~drug2gene_annot.midrug_id.isin(exclude_drug_ids)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1665 approved drugs total & 1701 associated genes.\n"
     ]
    }
   ],
   "source": [
    "print drug2gene_annot.loc[drug2gene_annot.isFdaApproved == 1]['midrug_id'].nunique(), \"approved drugs total &\",\n",
    "print drug2gene_annot.loc[drug2gene_annot.isFdaApproved == 1]['hgnc_id'].nunique(), \"associated genes.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Cancer only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2gene_annot_onco =  drug2gene_annot.loc[drug2gene_annot.midrug_id.isin(onco_only_drugs)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "193 approved cancer drugs & 380 associated genes.\n"
     ]
    }
   ],
   "source": [
    "print drug2gene_annot_onco.loc[drug2gene_annot_onco.isFdaApproved == 1]['midrug_id'].nunique(), \"approved cancer drugs\",\n",
    "print \"&\", drug2gene_annot_onco.loc[drug2gene_annot_onco.isFdaApproved == 1]['hgnc_id'].nunique(), \"associated genes.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Approved and established subsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# all targets of approved drugs\n",
    "drug2gene_targets_all = drug2gene_annot.loc[(drug2gene_annot.association_type == \"target\")]\n",
    "drug2gene_targets_all_approved_drugs = drug2gene_targets_all.loc[drug2gene_targets_all.isFdaApproved == 1]\n",
    "targets_all_approved_drugs = reduce_drug2gene(drug2gene_targets_all_approved_drugs)\n",
    "\n",
    "# established targets of approved drugs\n",
    "drug2gene_targets = drug2gene_annot.loc[(drug2gene_annot.association_type == \"target\") &\n",
    "                                        (drug2gene_annot.target_known_action == 1)]\n",
    "drug2gene_targets_approved_drugs = drug2gene_targets.loc[drug2gene_targets.isFdaApproved == 1]\n",
    "targets_approved_drugs = reduce_drug2gene(drug2gene_targets_approved_drugs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
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    "editable": true,
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     "frozen": false,
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2652 established target links for approved drugs ( 1238 drugs, 636 genes)\n"
     ]
    }
   ],
   "source": [
    "print len(drug2gene_targets_approved_drugs), \"established target links for approved drugs\", \n",
    "print \"(\", drug2gene_targets_approved_drugs.midrug_id.nunique(), \"drugs,\", \n",
    "print drug2gene_targets_approved_drugs.hgnc_id.nunique(), \"genes)\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Drugs per target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drugbank_pairs = zip(drug2gene_targets_approved_drugs.midrug_id.tolist(), drug2gene_targets_approved_drugs.hgnc_id.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.14216478191 established targets per approved drug on average\n"
     ]
    }
   ],
   "source": [
    "print drug2gene_targets_approved_drugs.groupby(\"midrug_id\").agg({\"hgnc_id\": lambda x: len(set(x))})[\"hgnc_id\"].mean(),\n",
    "print \"established targets per approved drug on average\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drugs\n",
      "4845 (any, with any target data)\n",
      "1460 (approved, with any target data)\n",
      "1297 (any, with established target data)\n",
      "1238 (approved, with established target data)\n"
     ]
    }
   ],
   "source": [
    "print 'drugs'\n",
    "print drug2gene_targets_all.midrug_id.nunique(), \"(any, with any target data)\"\n",
    "print drug2gene_targets_all_approved_drugs.midrug_id.nunique(), \"(approved, with any target data)\"\n",
    "print drug2gene_targets.midrug_id.nunique(), \"(any, with established target data)\"\n",
    "print drug2gene_targets_approved_drugs.midrug_id.nunique(), \"(approved, with established target data)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "targets\n",
      "2353 (targets)\n",
      "1491 (targets for approved drugs)\n",
      "647 (established targets)\n",
      "636 (established targets for approved drugs)\n"
     ]
    }
   ],
   "source": [
    "print 'targets'\n",
    "print drug2gene_targets_all.hgnc_id.nunique(), \"(targets)\"\n",
    "print drug2gene_targets_all_approved_drugs.hgnc_id.nunique(), \"(targets for approved drugs)\"\n",
    "print drug2gene_targets.hgnc_id.nunique(), \"(established targets)\"\n",
    "print drug2gene_targets_approved_drugs.hgnc_id.nunique(), \"(established targets for approved drugs)\","
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2gene_onco_targets_approved_drugs = drug2gene_annot_onco.loc[(drug2gene_annot_onco.association_type == \"target\") &\n",
    "                                                                 (drug2gene_annot_onco.target_known_action == 1) &\n",
    "                                                                 (drug2gene_annot_onco.isFdaApproved == 1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "310 established target links for approved cancer drugs ( 152 drugs, 163 genes)\n"
     ]
    }
   ],
   "source": [
    "print len(drug2gene_onco_targets_approved_drugs), \"established target links for approved cancer drugs\", \n",
    "print \"(\", drug2gene_onco_targets_approved_drugs.midrug_id.nunique(), \"drugs,\", \n",
    "print drug2gene_onco_targets_approved_drugs.hgnc_id.nunique(), \"genes)\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Drug - variant data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pgx_data = pd.read_csv(DRUG2VARIANT, sep=\"\\t\", skiprows=2)\n",
    "pharmgkb_pgx_data[\"Gene Symbols\"] = pharmgkb_pgx_data[\"gene_symbols\"].apply(lambda x: x.strip() if type(x) == str else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_genes_all = [g for x in pharmgkb_pgx_data.dropna(subset=[\"Gene Symbols\"])[\"Gene Symbols\"].unique()\n",
    "                      for g in x.split(\",\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# only those interactions with a significant association in the data set\n",
    "significant_genes = list(set([g for x in pharmgkb_pgx_data.loc[pharmgkb_pgx_data.significance.str.contains('yes', na=False)]\\\n",
    "                     .dropna(subset = [\"Gene Symbols\"])[\"Gene Symbols\"].unique() for g in x.split(\",\")]))\n",
    "significant_drugs = pharmgkb_pgx_data.loc[pharmgkb_pgx_data.significance.str.contains('yes', na=False)].midrug_id.unique()\n",
    "pharmgkb_drugs = drugs.loc[drugs.midrug_id.isin(significant_drugs)]\n",
    "significant_drug_names = [str(x) for x in pharmgkb_drugs.name.unique()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pgx_gene_drug_pairs = [(row[\"midrug_id\"], row[\"Gene Symbols\"]) for i, row in pharmgkb_pgx_data.iterrows()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 18880 PGx associations in PharmGKB,\n",
      "including 857 genes in PharmGKB with significant association and\n",
      "361 mapped drugs.\n"
     ]
    }
   ],
   "source": [
    "print \"Total of\", len(pgx_gene_drug_pairs), \"PGx associations in PharmGKB,\"\n",
    "print \"including\", len(significant_genes), \"genes in PharmGKB with significant association and\"\n",
    "print len(significant_drugs), \"mapped drugs.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pgx_genes_for_drug = pharmgkb_pgx_data.loc[pharmgkb_pgx_data.significance.str.contains('yes', na=False)]\\\n",
    "    .dropna(subset=['Gene Symbols'])\\\n",
    "    .groupby('midrug_id')\\\n",
    "    .agg({'Gene Symbols': lambda x: [y for z in x for y in z.split(',')]})\\\n",
    "    .reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "358 compounds with established pgx data from pharmGKB.\n"
     ]
    }
   ],
   "source": [
    "print len(pgx_genes_for_drug), \"compounds with established pgx data from pharmGKB.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Top selling drugs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### By $$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "top_100_sales_data = pd.read_csv(TOP100, skiprows=5, sep=\"\\t\")\n",
    "top_100_sales_data.drop('midrugID', axis=1, inplace=True)\n",
    "top_100_sales_drugs = top_100_sales_data.groupby(['name', 'drugbank_id', 'PharmGKB'])\\\n",
    "                               .agg({'Drug': {'name': lambda x: ', '.join(set(x)),\n",
    "                                              'count': lambda x: len(set(x))},\n",
    "                                     'Rank': {'top': np.min, 'mean': np.mean,\n",
    "                                              'all': lambda x: ', '.join(map(str, set(x)))}})\\\n",
    "                               .reset_index()\n",
    "top_100_sales_drugs.columns = ['_'.join(col).strip() for col in top_100_sales_drugs.columns.values]\n",
    "top_100_sales_drugs = top_100_sales_drugs.merge(drugs[['name', 'midrug_id', 'drugbank_id']],\n",
    "                                                left_on='drugbank_id_', right_on='drugbank_id')\n",
    "top_100_sales_drugs.drop(['name', 'drugbank_id'], axis=1, inplace=True)\n",
    "top_100_sales_drugs['name_'] = top_100_sales_drugs['name_'].str.title()\n",
    "top_100_sales_drugs.columns = [\"top100_sales_\" + x if \"Rank\" in x else x for x in top_100_sales_drugs.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87 compounds in top 100 drugs ($$$) list\n"
     ]
    }
   ],
   "source": [
    "print len(top_100_sales_drugs),\"compounds in top 100 drugs ($$$) list\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/schaerfe/Documents/Privat/Dropbox/anaconda/lib/python2.7/site-packages/pandas/tools/merge.py:536: UserWarning: merging between different levels can give an unintended result (2 levels on the left, 1 on the right)\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    }
   ],
   "source": [
    "drug2gene_targets_approved_drugs_top100_sales = drug2gene_targets.merge(top_100_sales_drugs,\n",
    "                                                                        left_on='drugbank_id',\n",
    "                                                                        right_on='drugbank_id_')\n",
    "top_100_sales_targets = drug2gene_targets_approved_drugs_top100_sales[('gene_symbol', '')].unique()\n",
    "top_100_sales_compounds = drug2gene_targets_approved_drugs_top100_sales[('midrug_id', '')].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "75 compounds in top 100 list ($$$) with id and data for 76 established targets\n"
     ]
    }
   ],
   "source": [
    "print len(top_100_sales_compounds),\n",
    "print \"compounds in top 100 list ($$$) with id and data for\",\n",
    "print len(top_100_sales_targets), \"established targets\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### By units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "top_100_units_data = pd.read_csv(TOP100_UNITS, skiprows=4, sep=\"\\t\")\n",
    "top_100_units_data.drop('midrugID', axis=1, inplace=True)\n",
    "top_100_units_drugs = top_100_units_data.groupby(['name', 'drugbank_id', 'PharmGKB'])\\\n",
    "                               .agg({'Drug': {'name': lambda x: ', '.join(set(x)),\n",
    "                                              'count': lambda x: len(set(x))},\n",
    "                                     'Rank': {'top': np.min, 'mean': np.mean,\n",
    "                                              'all': lambda x: ', '.join(map(str, set(x)))},\n",
    "                                     'Units (000)': {'sum': lambda x: np.sum([float(y.replace(',', '')) for y in x if type(y) == str]),\n",
    "                                                     'indiv': lambda x: '| '.join(map(str, set(x)))}})\\\n",
    "                               .reset_index()\n",
    "top_100_units_drugs.columns = ['_'.join(col).strip() for col in top_100_units_drugs.columns.values]\n",
    "top_100_units_drugs = top_100_units_drugs.merge(drugs[['name', 'midrug_id', 'drugbank_id']],\n",
    "                                                left_on='drugbank_id_', right_on='drugbank_id')\\\n",
    "                                         .drop(['name', 'drugbank_id'], axis=1)\n",
    "top_100_units_drugs['name_'] = top_100_units_drugs['name_'].str.title()\n",
    "top_100_units_drugs.columns = [\"top100_units_\" + x if \"Rank\" in x else x for x in top_100_units_drugs.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87 compounds in top 100 drugs (units) list\n"
     ]
    }
   ],
   "source": [
    "print len(top_100_units_drugs),\"compounds in top 100 drugs (units) list\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2gene_targets_approved_drugs_top100_units = drug2gene_targets.merge(top_100_units_drugs,\n",
    "                                                                        left_on='drugbank_id',\n",
    "                                                                        right_on='drugbank_id_')\n",
    "top100_units_targets = drug2gene_targets_approved_drugs_top100_units[('gene_symbol', '')].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "top_100_units_compounds = drug2gene_targets_approved_drugs_top100_units[('midrug_id', '')].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "77 compounds in top 100 list (units) with drug id and data for 80 established targets\n"
     ]
    }
   ],
   "source": [
    "print len(top_100_units_compounds),\n",
    "print \"compounds in top 100 list (units) with drug id and data for\",\n",
    "print len(top100_units_targets), \"established targets\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Combined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "only in top100 by $$$ ['Capecitabine', 'Everolimus', 'Imatinib', 'Interferon Beta-1B', 'Telaprevir', 'Ustekinumab']\n",
      "only in top100 by $$$ with target data ['Capecitabine', 'Everolimus', 'Imatinib', 'Interferon Beta-1B']\n"
     ]
    }
   ],
   "source": [
    "print \"only in top100 by $$$\",\n",
    "print sorted(set(top_100_sales_drugs.name_.tolist()) - set(top_100_units_drugs.name_.tolist()))\n",
    "print \"only in top100 by $$$ with target data\", sorted(set(drug2gene_targets_approved_drugs_top100_sales['name_'].tolist()) - set(drug2gene_targets_approved_drugs_top100_units['name_'].tolist()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "only in top100 by units ['Atorvastatin', 'Epinephrine', 'Hydrochlorothiazide', 'Naloxone', 'Omeprazole', 'Valproic Acid']\n",
      "only in top100 by units with target data ['Atorvastatin', 'Epinephrine', 'Hydrochlorothiazide', 'Naloxone', 'Omeprazole', 'Valproic Acid']\n"
     ]
    }
   ],
   "source": [
    "print \"only in top100 by units\",\n",
    "print sorted(set(top_100_units_drugs.name_.tolist()) - set(top_100_sales_drugs.name_.tolist()))\n",
    "print \"only in top100 by units with target data\", sorted(set(drug2gene_targets_approved_drugs_top100_units['name_'].tolist()) - set(drug2gene_targets_approved_drugs_top100_sales['name_'].tolist()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shared in both lists 81\n"
     ]
    }
   ],
   "source": [
    "print \"shared in both lists\", len(set(top_100_units_drugs.name_.tolist()) & set(top_100_sales_drugs.name_.tolist()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "top_100_drugs = top_100_sales_drugs.merge(top_100_units_drugs, how=\"outer\")\\\n",
    "                                       .sort_values(by=[\"top100_units_Rank_top\"])\n",
    "top_100_drugs = top_100_drugs[[c for c in top_100_drugs if \"mean\" not in c]]\n",
    "top_100_drugs['midrug_id'] = pd.to_numeric(top_100_drugs['midrug_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2gene_targets_approved_drugs_top100 = drug2gene_targets.merge(top_100_drugs,\n",
    "                                                                  left_on='midrug_id',\n",
    "                                                                  right_on='midrug_id')\n",
    "top_100_targets = drug2gene_targets_approved_drugs_top100[('gene_symbol', '')].unique()\n",
    "top_100_compounds = drug2gene_targets_approved_drugs_top100[('midrug_id', '')].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 81 compounds and 83 established targets considered in union of both top 100 lists\n"
     ]
    }
   ],
   "source": [
    "print \"Total of\", len(top_100_compounds), \"compounds and\", \n",
    "print len(top_100_targets), \"established targets considered in union of both top 100 lists\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# save file to supplement and use in subsequent analyses\n",
    "top_100_drugs.to_csv(SUPPLEMENT_PATH + \"top_100_compounds_analysis.txt\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## WHO Essential Medicines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 393 in essential medicines list\n"
     ]
    }
   ],
   "source": [
    "meds = []\n",
    "with open(ESSENTIAL_MEDS, 'r') as f:\n",
    "    for line in f:\n",
    "        line = line.strip()\n",
    "        splits = re.split(r' \\d', line)\n",
    "        if splits[0].title() == \"Ethanol\":\n",
    "            continue\n",
    "        meds.append(splits[0].lower())\n",
    "\n",
    "print \"Total of\", len(set(meds)), \"in essential medicines list\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# Extract essential medicines from full drug list\n",
    "synonym_midrug_ids = midrug_synonyms.loc[midrug_synonyms.synonym.isin(meds)][\"midrug_id\"].unique().tolist()\n",
    "essential_drugs = drugs.loc[(drugs.name.str.lower().isin(meds)) | (drugs.midrug_id.isin(synonym_midrug_ids))]\n",
    "essential_drugs = essential_drugs[[\"name\", \"midrug_id\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# add gene data\n",
    "drug2gene_targets_approved_drugs_essential = drug2gene_targets.merge(essential_drugs,\n",
    "                                                                     left_on='midrug_id',\n",
    "                                                                     right_on='midrug_id')\n",
    "essential_targets = drug2gene_targets_approved_drugs_essential[('gene_symbol', '')].unique()\n",
    "essential_compounds = drug2gene_targets_approved_drugs_essential[('midrug_id', '')].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Of 303 essential medicines with ID 152 had established target data ( 185  genes)\n"
     ]
    }
   ],
   "source": [
    "print \"Of\", essential_drugs.midrug_id.nunique(), \"essential medicines with ID\",\n",
    "print len(essential_compounds), \"had established target data (\", len(essential_targets), \" genes)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "who_drugs_with_target = drug2gene_targets_approved_drugs_essential[[('name', ''), ('midrug_id', ''), ('drugbank_id', ''), ('categories', '')]]\\\n",
    "    .drop_duplicates()\\\n",
    "    .sort_values(by=[('name', '')])\\\n",
    "    .reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# save file to supplement and use in subsequent analyses\n",
    "who_drugs_with_target.to_csv(SUPPLEMENT_PATH + \"who_drugs_with_target.txt\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Merge list of special-interest drugs (WHO essential medicines + top 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "interesting_drugs = list(set(top_100_drugs.midrug_id.tolist() + essential_drugs.midrug_id.tolist()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "interesting_drugs_df = drugs.loc[drugs.midrug_id.isin(interesting_drugs)]\n",
    "interesting_drugs_df = interesting_drugs_df[[\"name\", \"midrug_id\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 368 drugs of special interest ('interesting drugs')\n"
     ]
    }
   ],
   "source": [
    "print \"Total of\", len(interesting_drugs_df), \"drugs of special interest ('interesting drugs')\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# only use established targets\n",
    "drug2gene_targets_id = drug2gene_targets.merge(interesting_drugs_df,\n",
    "                                               left_on='midrug_id',\n",
    "                                               right_on='midrug_id')\n",
    "drug2gene_targets_id.set_index(['midrug_id', 'name'],  inplace=True)\n",
    "drug2gene_targets_id.columns = [x[0] for x in drug2gene_targets_id.columns]\n",
    "drug2gene_targets_id = drug2gene_targets_id[[x for x in drug2gene_targets_id.columns\n",
    "                                             if x not in ['midrug_id', 'name']]]\n",
    "drug2gene_targets_id.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "211 compounds with established target data in 'interesting drugs' set.\n"
     ]
    }
   ],
   "source": [
    "print drug2gene_targets_id.midrug_id.nunique(), \"compounds with established target data in 'interesting drugs' set.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Pharmacogenes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Kozyra set\n",
    "Subclasses of ADME pharmacogenes, defined in [Kozyra et al., 2016](https://www.nature.com/articles/gim201633), e.g. as presented in Figure 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "kozyra = pd.read_excel(KOZYRA_SUPP_DATA, names=[\"symbol\", \"exonic_snvs\", \"novel_snvs\"])\n",
    "kozyra.dropna(subset=[\"symbol\"], axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "kozyra_genes = [x.strip() for x in kozyra.symbol]\n",
    "kozyra_transporters = [x for x in kozyra.symbol if (x.startswith(\"ABC\") or x.startswith(\"SLC\") or x == \"TAP1\")]\n",
    "subgroup_dict_t = {x: 'transporter' for x in kozyra_transporters}\n",
    "kozyra_nuclear_receptors = [x for x in kozyra.symbol if x.startswith(\"NR\")] +\\\n",
    "                           [\"AHR\", \"HNF4A\", \"ESR1\", \"PPARA\", \"VDR\", \"PPARG\", \"PPARD\", \"RXRA\"]\n",
    "subgroup_dict_nr = {x: 'nuclear receptor' for x in kozyra_nuclear_receptors}\n",
    "kozyra_phaseI = [\"ALDH4A1\", \"ALDH5A1\", \"ALDH6A1\", \"CES1\", \"CES2\", \"CYB5R1\", \"CYB5R2\", \"CYB5R3\", \"CYB5R4\",\n",
    "                 \"DPYD\", \"EPHX1\", \"FMO3\", \"POR\", \"VKORC1\"]\n",
    "subgroup_dict_pI = {x: 'phase I enzyme' for x in kozyra_phaseI}\n",
    "kozyra_misc = [\"POLG\", \"CPS1\", \"ASL\", \"PROS1\", \"ASS1\", \"G6PD\", \"PROC\"]\n",
    "subgroup_dict_misc = {x: 'misc' for x in kozyra_misc}\n",
    "kozyra_phaseII = [x for x in kozyra.symbol if x not in\n",
    "                  kozyra_transporters + kozyra_nuclear_receptors + kozyra_phaseI + kozyra_misc]\n",
    "subgroup_dict_pII = {x: 'phase II enzyme' for x in kozyra_phaseII}\n",
    "kozyra_cyp13 = [\"CYP1A1\", \"CYP1A2\", \"CYP2A6\", \"CYP2B6\", \"CYP2C8\", \"CYP2C9\", \"CYP2C19\",\n",
    "                \"CYP2D6\", \"CYP2E1\", \"CYP2J2\", \"CYP3A4\", \"CYP3A5\", \"CYP4F2\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "kozyra_subgroup_dict = {}\n",
    "for d in [subgroup_dict_t, subgroup_dict_nr, subgroup_dict_misc, subgroup_dict_pI, subgroup_dict_pII]:\n",
    "    kozyra_subgroup_dict.update(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "kozyra_genes_df = genes.loc[genes.symbol.isin(kozyra_genes)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "146 ADME pharmacogenes in Kozyra set,  0 missing HGNC symbol\n"
     ]
    }
   ],
   "source": [
    "print len(set(kozyra_genes)), \"ADME pharmacogenes in Kozyra set, \",\n",
    "print len(set(kozyra_genes) - set(kozyra_genes_df.symbol)), \"missing HGNC symbol\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Fujikura pharmacogenes (cytochromes only)\n",
    "From [Fujikura et al., 2015](http://journals.lww.com/jpharmacogenetics/Abstract/2015/12000/Genetic_variation_in_the_human_cytochrome_P450.2.aspx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "fujikura_cyp = pd.read_excel(FUJIKURA_SUPP_DATA)\n",
    "fujikura_genes = [x.strip() for x in fujikura_cyp.gene]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "fujikura_genes_df = genes.loc[genes.symbol.isin(fujikura_genes)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "57 pharmacogenes in Fujikura set,  2 missing HGNC symbol\n"
     ]
    }
   ],
   "source": [
    "print len(set(fujikura_genes)), \"pharmacogenes in Fujikura set, \",\n",
    "print len(set(fujikura_genes) - set(fujikura_genes_df.symbol)), \"missing HGNC symbol\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'CYP5A1', u'CYP8A1'}"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(fujikura_genes) - set(fujikura_genes_df.symbol)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Manual lookup of the two missing genes reveals that their official gene symbols have changed:\n",
    "\n",
    "CYP5A1: TBXAS1     \n",
    "CYP8A1: PTGIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "fujikura_genes = list(set(fujikura_genes) & set(fujikura_genes_df.symbol))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "fujikura_genes += ['TBXAS1', 'PTGIS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "fujikura_genes_df = genes.loc[genes.symbol.isin(fujikura_genes)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Combined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pgx_genes_all = fujikura_genes_df.hgnc_id.unique().tolist() + kozyra_genes_df.hgnc_id.unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "203"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pgx_genes_all)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Analyse data set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## How many top-selling drugs are WHO essential drugs "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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qy+IoFlw96HAoisY5R/2CYucoXr7rFVp3dPZBJFKCbTklNOf1M7nCzCGE4Kix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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a313050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pt.three_circle_venn(set(top_100_sales_drugs.midrug_id.tolist()), set(top_100_units_drugs.midrug_id.tolist()),\n",
    "                     set(essential_drugs.midrug_id.tolist()),\n",
    "                     labels=('top100 (sales)', 'top100 (units)', 'essential'),\n",
    "                     figsize=(5, 5), fontsize=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## How many genes in pharmacogene set have pharmacogenomics annotation in PharmGKB?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "816 drug-related genes\n",
      "0.665094339623\n"
     ]
    }
   ],
   "source": [
    "print len(set(set(targets_approved_drugs.gene_symbol.unique().tolist() + kozyra_genes + fujikura_genes))), \"drug-related genes\"\n",
    "print len(set(targets_approved_drugs.gene_symbol.unique().tolist()) - set(pharmgkb_genes_all)) / float(targets_approved_drugs.gene_symbol.nunique()) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Overlap between genes listed in PharmGKB and drug-related genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dpgQ7jIgl75AhSjWb6gwOlsKbzxWBf09FR7PK28jxKIaYYIcQ0eSn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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d764a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sets = pt.three_circle_venn(set(genes.loc[genes.symbol.isin(pharmgkb_genes_all)].symbol.unique()),\n",
    "                  set(targets_approved_drugs.gene_symbol.unique().tolist()),\n",
    "                  set(kozyra_genes + fujikura_genes),\n",
    "                  labels=('pharmGKB genes (all)','Drug target genes', \n",
    "                  'ADME genes'),\n",
    "                  figsize=(5, 5),\n",
    "                  return_sets=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "only_pharmgkb = genes.loc[genes.symbol.isin(list(set(pharmgkb_genes_all) -\n",
    "                                                 set(targets_approved_drugs.gene_symbol.unique().tolist() +\n",
    "                                                     kozyra_genes + fujikura_genes)))]\n",
    "only_pharmgkb.to_csv(SUPPLEMENT_PATH + \"only_pharmgkb_genes.txt\", sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Significant associations from PharmGKB only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Li1+2L5PJIJVKIZPJIJPJeIOjUCjOhY6oKKKC4zhYLBZYrVZYrVZYLBaYzWZI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\nAXy5kd2driYwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d7f62d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sets = pt.three_circle_venn(set(genes.loc[genes.symbol.isin(significant_genes)].symbol.unique()), # pharmgkb significant associations\n",
    "                            set(targets_approved_drugs.gene_symbol.unique().tolist()),\n",
    "                            set(kozyra_genes + fujikura_genes),\n",
    "                            labels=('Genes with\\npharmacogeneomics\\nassociation','Drug target\\ngenes', \n",
    "                                     'ADME genes'),\n",
    "                            figsize=(10, 5),\n",
    "                            return_sets=True,\n",
    "                            colors={'set1': '#dddddd', 'set2': '#702072', 'set3': '#2A3FA6',\n",
    "                             'set13': '#B5003E', 'set12': '#D35C27', 'set23': '#F0B710',\n",
    "                             'set123': '#6C9C0F'}, hatch_set='100')\n",
    "# plt.gcf().subplots_adjust(bottom=0.15, right=0.2, left=0.2 )\n",
    "\n",
    "plt.savefig(RAW_FIGURE_PATH + \"3circle_gene_dataset.pdf\", dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## How many drug - target associations have pharmacogenomics data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pgx_data_all_drugids = pharmgkb_pgx_data.midrug_id.unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pgx_data_filtered = pharmgkb_pgx_data.dropna(subset=[\"Gene Symbols\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "18880 18011 5584\n"
     ]
    }
   ],
   "source": [
    "print len(pharmgkb_pgx_data), len(pharmgkb_pgx_data_filtered),\n",
    "print len(pharmgkb_pgx_data_filtered.loc[pharmgkb_pgx_data_filtered.significance.str.contains(\"yes\", na=False)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "18861\n"
     ]
    }
   ],
   "source": [
    "pharmgkb_pairs_extended = []\n",
    "for _, row in pharmgkb_pgx_data_filtered.iterrows():\n",
    "    for gene in row[\"gene_symbols\"].split(','):\n",
    "        pharmgkb_pairs_extended.append([row['midrug_id'], row['significance'], gene,\n",
    "                                        row['variant_name'], row['association']])\n",
    "pharmgkb_pairs_extended = pd.DataFrame(pharmgkb_pairs_extended, columns=[\"midrug_id\", \"significance\", \"symbol\",\n",
    "                                               \"variants_name\", \"association\"])\\\n",
    "    .merge(drugs[['midrug_id', 'name']], on='midrug_id')\\\n",
    "    .drop_duplicates()\\\n",
    "    .merge(genes[['hgnc_id', 'symbol']], on='symbol')\\\n",
    "    .drop_duplicates()\n",
    "print len(pharmgkb_pairs_extended)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pairs_reduced = pharmgkb_pairs_extended[['midrug_id', 'hgnc_id']].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4905"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pharmgkb_pairs_reduced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pairs = zip(pharmgkb_pairs_reduced[\"midrug_id\"].tolist(), pharmgkb_pairs_reduced['hgnc_id'].tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Overlap between drug - target associations and any pharmacogenomic drug - gene relation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib_venn._common.VennDiagram instance at 0x122650fc8>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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ZtVrSaIxncPDLDA6eyeDg8fT3j17l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urzbX3qZNMF57rTcGD24j2cbZs8n4z3+O4PjxRMn89dtvb8XatWMl8/VEtYFOx3FqV7Jhwwbs\n3LlTsgaLIAi4//77MWbMGLRq1UqyncLCQmzduhV//PEHsrOzRecMlZaWYuHChfjf//6HwEDxGiTW\n0mq1+PTTT7Fv3z6HFvcHmBOimrm5aZwdAhGRRWJiNuLkye+MPlsrf+/m5okePSajY8cn4OUlPo/k\nzp1/cPjw57h585jo51xCwgHs2jUXQ4YssP+L+n9xcTtw8eIGh9w3qNUqbNjwMgoLMwAY50X170Wj\nRp1x333T0LRpT9F2SkrycfHinzh69L9QqfIN3sOyjZVKsHHjKxg37g8EBra062siIrIHrv0nqr0E\nHauyEpHLOQngrLODILqrZGUVYciQFcjLKwFgvNgoMNALX345Et27ixc7FpOXV5YIP3gwofxY1cGj\nBx9sgy+/HGnbF1NFWloBRo78ATk5FZuDiA2GCYKAUaPC8fHHQ63qT6fTYeTIH3D1amb595XfS09P\nNyxYMATDh99rUnvnziXjtdc2Iy0t32jgTd/erl2TEBxs/40SAOCzzw6Vb15Q+b+nXuXje/Y8j9BQ\nP4fERURlPv30Glas2CBawB4w/De6fft2m/b99ddfY8OGDZKJ9UcffRSTJk2CTFbz5KiioiJ89NFH\nOH36tGR7M2fORP/+/U2OT6fTYfLkyUhMTCz/vvL75O7ujrfeegv9+vWrsa3iYnf88ssdbN78GvLz\n00Svz25unpg0aRe8vYNNjpGIiGqm0+mwdu04JCWdEb0nrXwt9vdvjOef3+PMcKulUhXgl1/GID39\nitFrEQQBXbtOQP/+phX4P3duDfbs+Ujyc7NjxycxYMC7kMtNKzQTHf0tDh/+rPz7qrH17z8LXbs+\nY/6LtqMLF9Zhx47Zop/LXl6BeOqptfD3b+rkKImIXEv37kCXLs6OgoiIiMhSxwGcd3YQRHQX2bo1\nFm++uUVyDK5Pn3vw2Wcj4O/vUWNbarUWH364B7/9dl6yvYkTu2LGjP4WxbpgwT789NMZybaffbYb\n3n67L2SymotKFBaW4vXXN+Hw4euS7f3738MxfHhbe1xo9AAAIABJREFUs+M8f/42nnjiZ9Hx0fXr\nx6Nt2wZmt0lE5EgFBS2Rni5daIaI7k7FxcWYPHkyUlNTARjPQQoKCsJ7772Hdu3amdTe7du3MW/e\nPFy/fl001xkUFIRVq1ZBqbRs8ydbKyoqwrRp04zi1f89evRokwv8b9q0CcuWLZO8zxw+fDheeeUV\nKBQKk9r77bffsGLFivLvq8b24osvYvTo0ea/aCK6K+Tne+DIkRBnh2GWo0eX4tixZSbNCX7zzUs2\n67eoKAvff/8gVKr88n4NNw0ciiFDFsDNzavGtpKTz2HTpikGhfgr/920aS88/vhKs2Osi3OlPDyA\nZ2rXdC0iIiIiG9sH4IqzgyCyik6nw7hxa3HmTFKN610aN/bHnj3PW9XfsWM38Oyzf0g+G4WHN8BX\nXz2MkBBfk9uMj8/AlCkbcf26dAHmOXMGYty4zia3uWbNOXz00R7J9p58siPefXcA3NxMK8T87bfR\n+Oyzw+XfV32GmzWrP555pqvJ8RE5WnJyf5SWujs7DDJBbm4unn322fKNmqvmcPz9/TFnzhx07NjR\n5Db1BehPnjxZfqzqdey+++7DnDlzbPtiUJbjWbhwIaKjow2uyXqVY+jQoQMWL15ss76ZEyJTZGT4\n4NQp8aLXRES1VW7ubfz440ioVBX3C4Dh51yjRp3x0EP/hp9fqEltXry4Abt2vQeNplQ0vzZy5H+q\n3eDaVgoK0vDDDyNRXJxTfkyqxlh4+CgMHfqxVf3t27cAZ878JPkcLZcrMGDAu+jUaaxJ7RUWZmDz\n5qlISjptcFwfc4MG4Xjqqd+cvsk3EZG5+vQBIiKcHQURieG2s0Tkgopr/hEiMsuXXx5Bbm7Zv62q\niaXgYG/8/vs4s4r7A4Cvrzu++WY0RoxoazA4U3nQaOfOK7hwIcV2L0TEzJnbkZ1dVN63ve3eHY/4\n+IqdIA0HimT47LOHTC7uDwCdO4fi++8fhY9PWaK2arKsuFiN778/ZcNXIO3UqVv47ruTBrtSElHt\nUFxcitdf31xtcX97iouLw8aNGw2uC5UH41955RW88MILJhX3BwBPT0/Mnz8f3bt3N7iWVvbHH3+Y\nFeORI0dw8+ZNAMbXZ5lMhtmzZ5tU3B8A5HItQkM749FHv4e7uw8A4+uzWl2MU6e+NytGIiKqWXT0\ncsni/q5m69bpksX927QZbHJxf7W6BEePLpX8HO7Y8Uk88MA8kxesAkCPHi8gKmqa5ES96OjlUKtV\nJrdnb8nJZ7FnzzyjZxWdTgeFwgOjRv2Pxf2JiCygVjs7AiIiIiJr8GaGiGxr+fITomNwANCtW2N8\n/fVok4r7A4BCIcOHHw7GI49EGOXC9O3+8svfyMwsNDvOf/65g9Wrz0qOF86ZMxDvvNPPpOL+AODl\n5Yblyx9B374tJPN2ls5ZuHQpzSBGPTc3OVq35ibaRFT7abWm516I6O6xadMmpKSUzXutOgfJx8cH\nixYtMrm4PwA0atQIn3zyCRo0aCCaA8/MzMTmzZtt+yKs8Mknn0gW94+KijK5uL9KpcJPP/0ked86\nfPhwvP766yYXcgGAJ554AhMmTJDMc69duxYqVe3JcxORY8nlrjO/qLS0GJs3v15tcX97Onr0vygp\nySvvt/L1uXnz+/DQQ/82qbg/AISGdsbjj6+Cp2c9ADD6/EhMPI6rV/eZFV9dnStVUuLU7omIiIgc\ngDc85PqWL4+WLO5va1qtDgsX7pd8NurevQl+/nmMWcX9AaB16yD8/vs4tG4dJJnL/uqrYygpMW1e\nTkmJGkuXHpWM88knO2LevAdMLu4PAC+80APTpkVJPsMtXx4NlYrzhqj20ulYQNRVrFq1Cvn5hptg\n6r8OCAjA0qVLzSruDwDe3t746KOPMGDAAMkaLIcPH0ZcXJztXgjKNpyeOnWqZHF/e2JOiEylUGid\nHQIRkdkOHlyMkpKK+wUAVXJr9+Pxx1eZXNwfANq3H4WHH14GhaKi1ljldnftmovi4lwbvxJj27fP\nRFFRNgD75yozMq7i3Lmfje4X9H27uXni4YeXmVzcHwC8vILw6KMr0Lz5/eXxV77nSk2NwYkT/7Pt\nCyEicgCu/SeqvVjgn4hcUJGzAyC6q+Tnq7Bu3UWJQohyfPHFCDRu7Gdx+wsXDkGnTo0kF3qvWnVa\n5LdsY/XqszhyxHghkT2tX3/R6Ji+72ee6YIBA1qZ3WZYWDDee2+gZIJp48YYaLX2fV0FBSrMmLEd\nlUPQ6XQuW0yV6G4SE5OCRx5ZjZ074yAIFf82BUFw2EYc33//veiAtiAIGDNmDP71r3+Z3aZMJsP0\n6dPh5VW2CKjqtTw+Ph7Xrl0zub1du3YZHdO3N3r0aPTq1cuM2MoSxMHBYRg48D3J63NMzEbodEwm\nExHZSkpKDI4dW2qUiHZFhw9/jqtX9xp8vukFBrbE0KGLTG4rJmaTQYK88vvSoEE7DBr0vkUx9uz5\nIpo0iRR9lioszMDVq7statfW8vLuYNOm16DRlAKA0T3JoEHvoVEj8yZLEhFRmdJSZ0dAREREZA3O\nWCQi27l0KRWXL5cVo686nuflpcQXX4yAUmn+AuwPPxyMFi0CARiPd5aUaLBly2Wz2/z3vw9J5u1e\nfLEnxo3rbHabMpmATz4ZCh+fisVClduOial4f8wRE5Nq8L0+7tatg6BQcGorEdV+Wq3pBQaI6O6g\n1WqxefNmozlZ+nujt956C02bmr/xeEBAAN566y2j4/r7rW3btlkcsy2tXLkSx48fF81zN23aFNOn\nTze5rT179iA3t2zBedWcdKtWrfDaa69ZFOPYsWMREREhmufOzs7GsWPHLGqXiFyfTOYac4xSUmKw\nevUjiIvbWX4dc+Sc4NzcZPzzz1qjtSUA4OPTECNHfglBMO+ZPSioNR566HMAxm0CMLtwRl2dK6XT\ncaE+ERER3e1YgJVcW0xMCpYuPeaw9S7Hjt3AlSvpAIxz2CEhPvjiixFwd7csj+Hr645vvnmkfIN7\n401Ji7BpU4xJbW3aFIPs7CKDOPVttWvXAO+/P8iiGF98sSciI5uIPsNlZBRi9+6rFrVL5Ag6nWPW\nfZN1CgsLsXPnTokaLArMmTMHISEhFrf/1ltvoW3btpI1WNatW2dx21Xt378fU6ZMwc2bNw2umY4a\nc2ROiEwll7MmAxG5loyMq4iL2ya6iQ0ANGgQblCo3xwtWvRF//6zDOYD6xUXZ+PUqe+tjL56Z8+u\nxvXrRxxWs+3o0aXQajUADF+rvu9hwxahRYt+ZrerUCgxYsTnCAhoZnDfpX89p0+vRHFxjm1eBBGR\ng2g0zo6AiKRwFRQRuaBiZwdAdFfZsye+fCf6qou8H364HSIjm1jVvpubHO+9N8goeaUf6Kjcvy1d\nvZqBJUsOGiWVvLyUBnHYkkajxbFjN0UntHt4KPDKK70tbvvhh8MRFlZfdNArK6sIf/992/LATTB/\n/l4kJRkOSAmCYNf3k4iqp9FosXx5NJ588hckJGT9/7WhIqHuqE04Ll68iHPnzokOzIeHh2PixIkW\nt+3v74/Ro0cbTBaobO/evSa1o9FoymOs2o5SqcS4cePMiksurxjpCg9/GPXrh4len4uKsnD79t9m\ntU1EROLU6hJs3fp2eXIWqHhuUSorNoNxBQkJB3DixDdGRQ/0O8iPHPkl3Nw8TW7v3Lk1oscFQUD/\n/rOtel+ioqZKnouL225xu7ai02mxZcs0FBQYTkzX/x0e/jAiIh51cpRERK6LxQGIiIjItfFmhohs\n59ChBKNj+jGop5/uguBgb4vaVShkeOON+yRzegcOmL7ZNQCcPp2E48dviubtunYNxbRpURbFCQCB\ngV6YMKGrZN5u8+ZLZrd5+XKq0TFBEBARYfkCaCIiR2KBf6K65/jx40hNLbuHqZqb7NSpE/r06WNx\n2507d0bHjh1F5yDdunUL169ftzZ8q0RHR+PXX38VzXO7u7tjzpw58PDwMLm9TZs2iR4XBAEvv/yy\nVXnuCRMmSJ47ePCgxe0SkWur7QX+tVoNoqOX45dfnkRWVoLB9daRc4LPn18LjUZ8bUnfvtPh5uZl\nUbvNmvVGRMQjopsS3rlzHklJp01uqy7PlWIOn4iIiO5uJc4OgMhiJSVqvP32Vmg0FUVp9c899lqD\nvXVrrNExfZ9vvHEfAgMte37Ta9zYDy+91FPyWXTLFuP+xaxZc070uCAImD27v1Xvy9Sp0vnv7dvj\nLG6XyN60Wpb6cgVHjx5FaWkpAONxskGDBiEiIsKq9hUKBV599VXJGizHjh2DSmXdBki5ublYtGgR\nPv74YxQUFBi8BkeOOTInRKZyc2OBfyJyLWfPrja6T9BTKr0xYsQXkMvdLG6/U6cxaNVqgGhh+rNn\nV5dviG1rGRlXcfDgEqPPaHvVc8jPT0V8/G7RjRIEQUDHjk+iTZsHLW5fqfTGQw/9WzRulaoAJ0/a\nd7MEIiJb47wBotqLo35E5IJY4J/IlrZtq0iiGw50AC+80MMmfUREhKBPn3skdoVU4+xZ2xanV6u1\nmD59G0pKjLcamzHD/N0YTXX1aiaKisQTdVFRzeDra/6OmpUNH36v5Lnz5+9Y1XZ1du68gvXrLxos\nyNLpdLjnnnoYO7aT3folImnR0Yl4+OEf8dlnh6BWlyUrqy6c1CfY7a1yYr1yfwqFAm+99ZbV7Q8d\nOtTo+qP/+tIl0wqF3Lx5E8XFxeW/p/9bEAR069YN3t7mF11xd6/4jLn33uGSP3fnznmz2yYiImMH\nDy5GZmZFMSv9dfzee4cjJKS9EyMzT2FhBrZvN15IWjHB730EBbU2ub28vDtIS7ssuolN/fpt0aRJ\npFXxNm4cCU/PAIO29Unx5GTnb2Jz9Oh/kZxsuNGQXlBQawwaNM95wRER3QWY5CciIiLXxpsZIrKd\nCxdSJM8NGyadxzdF//4t4elZtoCn6hicufMAfv65ojhC5bEyNzc5FiwYYlWcAPDYYxGSebu//zZv\n3odOp0NcXLpoPjM8vIHVsRIROYJOxwL/RHXN8ePHy7+ueh8zatQoq9uPipIuSGXqPCl7yMrKwr//\nbbzYWZ+jfe2119CsWTOT20tLS8O1a9dE89wtW7a0uihOhw4d4OfnZ9C2/h7bme8jETmXINTewkCJ\nidH48ceHcejQZ9BqK4rrO3pOsFarwcWL60Svz76+jXDvvcOsar9379cgk8mN2gaACxfWmdRGXZ8r\n9f815YiIiIjuUizwT65r8eKDuHYts/x7/XPc8OH3on17229urlZrsXt3vOizUaNGvhg5sp1N+hk3\nrgu8vQ03KKgoJpkMlar6uTl37uTh8uU00Tjbtq2PyMgmVsUXGdkYAQGeovH9/XeyVW0T2YtOJ0Cn\ns/+6b7LegQMHyr+uOpb15JNP2qSPsLAwdOnSRbQGS0lJiVU5ja1bt2LSpEnYu3ev0Thj5a/tPebI\nnBCZQyarveP4RERV6XQ6XLmyQ3IeRWTkc6hXr6nV/fTp87pB23qlpYW4cOEPq9uvSqtVY9u26dBo\njMdp+vWbYfP+AODKlZ2iOVIAUCp90Lfv21b3ERISgZYtBxi8hxVztddCo7FuYyUiIkfi2n+i2osF\n/onIBbHAP5EtnTiRaDCwoR+IaNUqCM2bB9isn4EDW0meu3Qp1Wb9AMDSpUcRE1OxwF7/mvr2bYEn\nn+xo074qu3UrR/Jc27bWL0Dv0iVU8lxion121UxLK8DcubuMBhQVChkWLRoKT08uVCVypLi4dLz2\n2iY888xvuHo1s9qkep8+fXD//fcDsP0OuHq5ubk4cuSI0eeIIAgYPHgwGjdubHUfDRo0QFhYmMFk\nAf2fq1evGgygS7lzR7r4SatW0p9P1XF3r0gSh4Z2kfy57OxEi9onIqIK168fxrlza4w+z3x8QjBo\n0PtOisoy27bNQGFhBoCKz0z9323bPoT27c0r+pCYeLy8rcp/BEFAePjDVscrCALq128rOlGwoCAV\nKlWB1X1YKinpNKKjvzGa4KfT6aBQKDFixOdwc/NwWnxERHcDFgcgIiIi18YZi0RkO5XnAlQep5TJ\nBNx7b7BVbSuVckREhIiOweXnq5CTY9o8qezsIuzaFS+atxs9ur1N5n80auSHDh0aiubtYmJSTcrb\n6V27lomiotLyOCsLD7d9kQsiInvQajlviqiu+fvvssK+lXOzAODr64sePXpY3X6bNm0kzyUmOm8O\n0uLFi5GdXTZHtWqeu3///hg8eLBZ7Ym9j/r2Bg0aZHW8giCgZcuWovfYmZmZKCoqsroPInI9Mpnp\nz6yOkp4eh02bXsNvvz2DzMyr1c4Jbt36AYSFDQVgvznBiYnRyM9PK++3cv8REY9a3a+vbwhatuwv\nWjjjypUd0GhqTlDX5blSABfqExER0d2OhdTINR0+fB1r1pwzemYKCfHB++9bP9YlJiYm1SiPrH82\nGjiwFWQy2zw3KpVyREU1F31GKi3VID4+o9rfP348sfz3qj7DPfxwuNXxla3DqS8aX2pqAQoKeF2h\n2ocbiLuO8+fPi9ZgadasmU3Wzuv17t1b8lx8fLzZ7Z04cQKvvPIKvvzyS+Tl5ZWPvwEwGnOcOHEi\n6tevb3DO1pgTInPI5SzwT0Su486d8ygsLNvorWpReoXCA507j7NJPw0atEPTpj2M+ijbzGaTTfqo\n7OjRpUhJiTHoBwBatOiLjh1ts8lRVdeu7Tc6pn+9nTqNgVLpY5N+IiOfNWhfr6QkF9euHRD7FSKi\nWonzBohqL478EZELMt7djYgsk5SUi6KiUqOEiyAI6NnT+l0gKwsLqy95rrrC+OY6fToJ33130ug1\n1avniYULh9isHzHVJfsDAqwvLBkc7CV5Lj/fPhMNZs3ajuzsIqOE3aRJ3dG5cygOH75ul36JyNhH\nH+3Bzz//Lbpwp2qCfcyYMZg4cSKWLFli15hOnDiB0lLjzxEAePJJ2w3O9+vXD3K5HH5+fvD39y//\n4+fnh9LSUiiVymp/v7oEvJ+fn0UxeXhokZtb9rWXl3ThFpUq36L2iYioTHFxDnbsmG1wTP/59+CD\nC+DhYdl13BnOnl2N69cPGxQ70PPyCsLAge+Z3WZGxjXIZHLodBWTl/T3BPfc08v6oAF4eQVKnisu\nzoVS6W2TfsxRWlqIrVunl7/uqkUkevWagqCg1g6Pi4jobsMkPxEREbk23swQke0UFIjnw3x93W2y\nwDU4WHqMLS+vBP7+Nc832L//GlQqtcj8D+CFF6wvNqs3fPi9kMsFBAR4lv8JDPRCQIAnSks1UCpN\nm5J6+XJapRgrYpbLZWjbVnp+CRFRbaLVyp0dAhE5UE5ODvLz80Xv/yIiIiCXW39N8Pf3lzyXl5dn\ndfuW2LhxI06fPi2a565Xrx5effVVs9u8efMmZDKZwYJp/dddunSxPuj/j01KXl4ePD09bdIPEbmO\n2lbgf8+ej/D33z+bMCdYhp49JyMqahq2b59l15iuXz8kea516wds0kfr1g8gPn4PAMNiJypVARIT\no9G8eVS1v19X50rplda8BwIRERGRi9KAOX5yRTk5xZg9e4fBMf2zzoIFD8LPz/p15WKuXpUurN+j\nh61rAwRj58440XNJSbnVbt5+7VoG5HIZtFrjccBeve6xSXyBgdLr7nNzi+HtXf26UyJH0+ncnB0C\nmSAlJQXFxcWiNVg6duxo076aN29ebRymUqlUePvttxEbG1s+xggYbyYKAF5eXnjrrbdw33334a+/\n/rJbcX+AOSEyj0ymhSDooNPZ7/9JIiJbSU4+a3SsYuPuQfD0lP58MleLFv2QmBht0IdOp0N6+hXk\n5ibBz882mw8lJZ3GyZPfGd0beHrWw5AhC23Sh5g7d85L3o9ERDxms34aN+4GpdIbpaWFRv1dvboX\nbdoMtllfRET2xLX/RLUXC/wTkYtRA6hdE2uJXFl8fEUSv3JSBABatAiwaV9BQdJJ8uoK45ujoECF\nd97ZZpTsFwQB8+Y9UG0MtqBQyCTP5eZavzlJaanGor4ttWbNWRw+fN1oUKpdu/p47bU+Nu+PiKp3\n+nQSABgslqxa2D8wMBBvvvkWIiMjHRLT8ePHDb7Xx9W+fXs0atTIZv08+uijePTRRy3+fYVC+tE3\nP9+yAvxKZcXiII1GesWMTMbHbiIia+za9R7y81ONJpV16jS2xgWdtUle3h0cPvy50b21/vU88MAH\n8PCQLtYg5f7730Tv3lOQkRGP9PQ4pKfHIj09Djk5txAcHGaT2KvbrEYQbP8cYorDhz9Hbm6ywX2R\n/p4oJCQCPXo875S4iIjuNiwOQERERK6NMxaJyHak8vH5+baZ66BSSc8FcHMzbQxu795rBt/rx826\ndm2Mpk3NH3uUMnFiN0yc2M3qdmJiUg2+14/vtWoVCKWSBbOJyDXodM7JkxCRc/j7++PPP/9Eeno6\nEhISkJCQgOvXryMhIQERERE26aOwsFDynEzm+GtOWloaVq5cKZnnnjp1Knx9fc1u97nnnsP48eNx\n8+ZNg/fy9u3b1RayMUdtey+JqDbQQSbTQautHYWBkpJOA6h+TrC3d30MGbIQzZvf55CYbtw4Wv51\n5Wu/t3cw6te/1yZ9NG9+v+S5hIQDNc4Hq6tzpfS4UJ+IiIjuXtavvSVyhvfe24XU1Hyj9S5jx3ZC\nVFRzu/XryNoAwcHS6/Jrype/+eb9mDKlN+LjMxAXl47Y2HTExaXj1q0chIUF2yS+6mKQyWrHGABR\nZVot1xu7ghs3bpR/XfU627SpbTdSCQiQvm5Xl+uoqrS0tLy4PyC1maiAtm3b4p133kFoaKh1gZuI\nOSEyl5ubDioVP8OJqPZLTxffCA0AmjbtadO+mjSRrh+UmBiN9u1HW92HSlWAbdveMdpku6wGwjx4\neQVZ3YeY3NzbKC7ONciZ6nl7N0BAQDOb9SUIMoSGdsH164fL+9H3m5h4wmb9EBHZG+cNENVeHPkj\nIhfDuwoiW1IoBERFNUdqaj5SU/MNitD7+3vYtK+iIvtXBJs/fy+SknKMEk8jRrTF0KG2mbBdnXr1\npN+zxMQcq9u/fTtP8lxAgG13jr56NQOLFx80GPjS6XRwd1fg00+H22VDASKqWeWEuv57oGzQeNSo\ncIwf/wF8fPwcFsuZM2dEd8Lt16+fQ2IwVXULSW/fvm1Rm5UL/OflSbfh6WnbSXFERHXJxYsbEBe3\n0+izpl69Zujb9x0nRWWZ3bvnQaUqMCpIXzYx7iG0bj3I4rYVCiVCQsIREhJuw4gr5OdXFNoy/G8h\nwNOznl36rM6dO+dx9uwag+S5nkKhxNChHzt9MS0R0d2CSX4iIiJybbyZISLb8ff3MBrXAwCNRovb\nt3PRqJF1+bnq5gLUq1fzXACdToejR2+I5u2GDbP/XAlLXL6canRMEASEhzdwQjRERJZhAQ6iuik4\nOBjBwcHo3r27zdvOyMiQPOfn55g5YZUtXboURUVFonnu/v37o3fv3ha3rVQq0bp1a7Ru3dqGEVeo\n/F5WvU92xntJRLWDQlG7CgNVNyc4PHwU+vefCQ8P223aV52Skjykp8carR0QBAGNGnWxWT/e3sHw\n8wtFXt5to76Sk8+Y1EZdmytVGXP4REREdPfijQ65ng0bLmLnzjijsadmzerhnXf62rXv+vW90b17\n0/LaAMXFFf+GalttAKVSgfDwEISHh9goIkOpqRWbtFX+byEIpuXaiRxNp3NzdghkArlcjm7duiE9\nPR0ZGRkoKCgoP2fJxsfVKS4utml7elUL+yuVSowbNw6PP/64w4veMydE5pDLdTX/EBFRLZCbmyx5\nrnFj6YL8lqhuk+vk5LM2KfC/d+985OQkGdVsa9t2BMLChlrdvpTc3CSjY/q+q9vYwFLBwWG4fv2w\nQT9AWc2g/PxU+PhwDjMR1X6cN0BUe3FlARG5GN5VENlSVFRzREU1L/9epVIjJSUfKSn5aNEi0KZ9\nVbcg3cfH3er2d+26gvXrLxolXUJCfDB3ruXFMs3RunWw0TF98uvo0Rsiv2Gew4evS55r166+1e3r\nqdVaTJ++DSUlmvJj+kGpqVOj0Lq1fXbVJKKaiS3iCQsLxpw5AxEZ2RQ3bzou0Xzjxg0UFhaK7oTb\ntWtXh8VhimbNjHfl1cd95oxpC4Kqqpwg1g/gi6lfv51F7RMR1XW5uUnYt2++0UJOmUyBYcM+hZub\nbScd21Ns7DZcu7Zf9DPT3d0PAwa868ToqldYmIH0dONJ5wAQENAMCoX1z3Lm0Go12LnzPQBln8NV\ni0hERj6PoCD7TPYjIqqLmOQnIiIi18abGSKyndatg3DmjPEiEqAsj//44x0tbjszsxCXL6eKbmjZ\nvHkA3N1rnuIZH5+B/PwS0THIPn2M82S1waVLaaLjjhER9insQERkD1otNxwmItuqbh5Tq1atHBgJ\ncPDgQZw4cUL0HtPHxwevvPKKQ+MxR1ZWFhISEkTvNxs3bgylUumEqIioNigr8O/sKCqIzQkODg7D\nwIFz0KSJ7TeSqU56epzo5oYAEBISYdO+QkIikJubbDAWotPpkJYWC42mFHK58wrd1ba5UlUxh09E\nRER3L97okGtJSsrF/Pn7jNa7KBQyfPrpMHh42Pe5ZuLEbpg4sVv593l5JUhNLasNEBzsbdO+qqsN\n4Ovr3HG2jIxCxMWliz7DNWtmWq6dyNG4gbhr6NatG7p1q7jOqlQqZGRkID09HU2aNLFpX2lpaZLn\nvL0tu6brxxuBsrG3Xr164aWXXkLDhg0taq82Y07o7qNQsMA/EbmGoqIsyXO+vo1s2pebmycUCiU0\nmlKj59C0tMtWt3/lyi5cvLje6PPUxycEgwbNtbr96hQVZUue8/W1/b2Lh4f0Zt5paZdZ4J+IXIJG\nU/PPEJFzcGUBEbkYJumJ7EmpVKBp03qIjGyCoCAvm7YdHZ0oea5pU3+r2k5PL8DcubuMBqEEQcDH\nHw+Br69jJlLXr++Npk3LBnIq72oNACkp+diUo/X/AAAgAElEQVS164rFbefkFGPLlsuii/plMgHd\nuze1uO2qli49ipiYlPLv9a8jMrIxnnvO9rtbEpHpdDpd+fUtJMQHH344GBs2PI3u3ZtAp3PsgpbY\n2Njyrytfkzw8PGw+QcFagYGBaNSoLAlS9fqckZGBw4elC/RLkcu1AIDi4hxcvrxF9PosCDI0berY\nRVZERHcDnU6HbdtmoKQk3+CYIAjo0eN5NGpkebEsRystLcb+/Z8YJbX1rycqaio8PQOcFF3NYmI2\nQasty/DoPz/1sd9zT2+Hx3Pu3GqkpcUaxKHn69sIPXu+6PCYiIjuZiwOQERERK6NNzNEZDvdujUW\nPa7T6bBmzTmr2l6z5hy02oqxN/3fZQtsTZsHcP78nfKvK4+ZeXm5oUWLQKvis4eUlHxkZhYCMFxU\nDADh4SzwT0SuQ6fjNHwish2VSoWDBw9KzBGVoVOnTg6LpaSkBP/73/8k89wTJkyAn5+fw+Ix1549\ne6DVls3tqnqP3aVLF2eGRkROplBonR2Cgcpzgn18QjB48Id4+ukNDi/uDwAZGfGS54KCWtq0r4CA\n5uVfVx4X0GrVSE+3fL2FLdS2uVJVlZY6OwIiIiIie2FFInIdOp0OM2ZsQ35+icExQRDw/PM90LGj\nbQs5msLX1x2tWgWhT59mkMmMCxxbo7raAE2aSBdGdIRNm2Kg0YiPA/bufY8zQyOSpNOxwL8rUiqV\naNSoETp06ICAANuuA/z7778lz1lTkF8QBISFheHTTz/FvHnz7sri/gBzQncjuZwF/onINajVxaLz\nO+RyJdzcPGzen4eHYW02fZ/V5fhMUVCQjl275orWbBsy5GO4u/ta1X5N1OoiyXPVFeO3lKendJsZ\nGVdt3h8RkT1w7T9R7cWRPyJyMbyrIHJV+/ZdE935GADatq1vVduzZu1AVlZRefv6gaJx4zqjd+9m\nVrVtrn/9qx2WLTtWpcBzWTHpJUsOoXfvZvDxMX+n508/PYCcnOLytir/3bdvC9Svb9kO3FWdOZOE\n7747afTfyttbiU8+GWaTPojIcvrC/s89F4kxYzpBqZSXn9NqHVvgPz7ecKBff01q1aqVQ+Mw1cCB\nA7FmzRrR6/OKFSvQtWtXeHmZvrmNPkF84MCnKC7OEb0+t2jRF97e1n3GERHVRSdPfotbt04Z3N8D\nQIMG7dC79xRnhma2kye/RX5+itHnBADUr98OnTqNdXKE0nJzk3D8+DLJ57iIiEccGk9xcQ6OHftK\nsohE//6zoFA4ZnM3IqK6gsUBiIiIyLVxbgER2c7gwW0wb95uFBerjcb6YmPT8csvf2PsWPMLrl67\nlokVK05JjsE99lgHk9qJiUkx+F4fX7t2DcyOyREuX04t/9qwcK2Adu3Ec2vXrmUiMTEbWVlFyM0t\ngVIph7+/B5o2rYewsCAolZwKS0SOp9XKa/4hIiITfffdd8jOzhadgxQZGWnzgjHVWbt2LTIyMkTz\n3C1btsSIESMcFou5UlJSjOaIVfbggw86OCIiqk0UitpVGEhf2D8y8jl06jQGcrn5awxspbrC+gEB\nLWzaV0CA9PqOnJxEhISE27Q/U9W2uVJiuFCfiIiI7l4s8E+u49tvT+LUqVtG613atWuAKVOcvzGY\nLSUn5+Ly5TSDcUI9pVKOli0dN2ZZVVJSLpYtOy75DPfIIxEOjojINCzwT1WdOHFC8lpm6Xr9e++9\nF2PHjkXv3nfX51JVzAndnWrbOD4Rkbnc3EyvWWMOjaZioWfl57PS0iIUFWXB09Oy57MdO2ahqCjL\nqGZb587j0KyZc+8llErbv5eV38eqcnJu2bw/IiJ74LwBotqLI39E5GJ4V0HkinbvjkdiYrZoEt/d\nXY7OnUMtbnvNmnM4dCjBKPHSvHkApk/va3G7lho7thNWrTqNwsJSo9d782Y2pk7djGXL/gUPD9ML\ncS9fHo0//7wg+v7JZAKmTu1jk9gLC0vxzjvboNVWJD30/c2a1R+NG/vZpB8iskyXLqF44YUeGDo0\nDHK5zOi8TufYAv9JSUmix0NDpa/pGo0G//zzD06ePIn4+HjcunUL+fn5UKlU8PT0RHBwMJo1a4YO\nHTqgT58+CA4Otlm8I0eOxLp161BcXGx0PU1OTsb8+fPx/vvvw93dtMLAcrkO0dHLceHCn6LXZ0GQ\noU+fqTaLn4iorkhNvYSjR5ca3d8rFO4YNmwxZDLXGc7Mz0/BqVMrRCeJCYKAgQPnSE4gc7bc3GRs\n2PAyVKoCADAq2tCiRT+EhDh2wvPRo0slN9Vp1qwP2rQZ7NB4iIjqAib5iYiIyHVp//8PEZFteHm5\n4amnOuP7709CEITycT39GNXChfvQuLEf+vY1veBdSkoeXnxxPYqLyx6+qo55DR7cGu3bh5jU1vXr\n2aLHmzb1l/wdtVqLU6du4eDBBFy6lIqEhCzk5BRDpdLAy8sNDRv6olWrQHTv3hQPPNAKISG+Jr+2\nmsTEpBp8XzHuGFA+l0Kt1mLPnnhs3nwJp04lITu7SLI9N7eyeSfDhoVh5Mh28PXlRqBEZH86nRw6\nrisnIhv5888/sWnTJoP7zMrGjx/vsFgyMjLwxx9/SOa5X3311Vqb505NTcX777+PoqKye8eqee4e\nPXogLCzMmSESkZPVpsJAoaFd0KPHCwgLGwqZzPkbR+XmJkue8/NrZNO+fHykxzucVTijNs6VEsMc\nPhEREd29eKNDruHSpVQsXXrUaHzM3V2BxYuHQaEwXvPpylatOm10rKLYY6jTNmFPTs7Fyy9vQEGB\nyiAm/TNcv34tEBFhWq6dyNG0WtdZF0f2d/ToUdy+fVt0jbqbmxvatWtncluCIKBv374YOXIkOnbs\naI9waxXmhO5ecnntGccnIqqOQuFu9PkNACpVnl36KymRbjcv745FBf7PnVuDhIRDRq8hIKA5+vad\nbnZ7llAoPCTPFRfn2ry/4mLx+dYAkJd32+b9ERHZA+cNENVeHPkjIhcjvQMaEdVe//vfCaNj+kGq\nAQNaQam0bFL6tWuZWLLkoMFAkU6ng0Ihw6JFw+Du7vhbneBgb0ybFoUFC/YZLewHgCNHrmPMmF/w\n6afDERZWfeHqvLwSfPzxfqxbZ1zcX//1Cy/0QNu2DWwS+/z5e3HrVo5RH/37t8Rjj3WwSR9EZLn3\n33+g2vNardJBkZRJTk4WXawZFBRkdCwvLw/r1q3Dtm3bkJWVVX688u8XFhbi5s2buHHjBg4ePIiv\nvvoKPXr0wPjx422SRA8ICMDEiRPx9ddfi16fT58+jWnTpuGdd95BixbVF18pKCjA998vxaFDWySv\nzz16vIAGDdpaHTcRUV2iVquwdet0aLUVGQX9dTUqahqCglo5MTrzHTr0GUpLi0QL0rdt+xAaN+7q\n7BBFxcZuxb59C1FQkC6xSZsPBgyY7dCYsrKu4/z5X0ULWgiCHAMGvOvQeIiI6gqdDtBoALnz60kQ\nERERmYmzFYnI9l55pRe2bYtFcnJulfEpAaWlGrz88ga8/nofPPtsZI1zIA4fvo6ZM7cjI6PQoB29\noCAvvPvuAJNju3kzWzRvJ1aUPyenGKtWncbvv/+D9PQC0f7z81WIj8/AlSvp2L49DgsW7EXfvi0w\nZUofmxRCuHQpzeiYIAgIDw+BSqXGihWn8dNPZ8rfn8q5PTFqtRYnTybi5MlEfPbZYTz9dBe8+GKP\n8s0CiIjswdFzNIjo7pSRkYHly5dj//79knOQRowY4dACJN9//z1KSkpE89z9+/dH+/btHRaLOQ4c\nOICvv/4aWVlZonluLy8vvPTSS06MkIhqg9pU4P+BB953dggGCgszyr82LCTmBTc3L5v25eUlvYbC\nGYUzauNcKSmlXFJHREREdy2NswMgqpFKpcb06VuhVmvLj+mfH6ZNi0KrVsZrKl1ZRkYhfv/9H8k8\n7ZAhbRwcUZmtW2OxcOE+pKcXiD7D+fi4Y/Zs03PtRI6m07HMF1X45ZdfjI7pr2u9evWCm5vp8168\nvLzw7rt1Y30dc0J3N7lcW/MPERHVAp6egeVfV/4s0mo1KCnJg7u78fxdSxUVZUOr1RhsZlNZYWGm\n2W1mZl7DwYNLjGq2yWQKDBu2CAqFu1Uxm6q6jQmKirIkz1mqujaLisx/H4mInIEF/olqL478EZGL\n4V0FkatZs+YcLly4IzlI9MgjERa1q9FoMX36VhQXGxf/nDy5Bzp2bGhxzNZ6+umuiI1Nx59/XjBK\nCAmCgMuX0/Dwwz9i0KBWeOCBNujSpRGCgrzh7i5HVlYR4uMzcOBAAtatu4C8vBKDIpb697Bs4VZb\nTJsWZZOYd+++Ur6RQGX16nlg/vwHbdIHEdmXVuu4xzutVovU1FTRc1UL/G/evBmrVq1Cfn5+jcU3\nAMOFQSdOnEB0dDSGDx+OF154AZ6enlbFPWrUKCQkJGDHjh2i1+dr167h5ZdfRu/evREVFYV27doh\nICAASqUSOTk5uHHjBqKjo7Fz504UFBRIXp/bth2BqKhpVsVKRFQXHTq0GBkZ8QYFCwCgSZNIREY+\n68zQzJaeHodLlzaJFqSXyRSIiprqrNBEqVT5iI3djvPnf8WdOxdEN8PRJ+aHDv0E9erd49D4Dh/+\nDBqNWrSIRPv2oxAY2NKh8RAR1SWlpSzwT0RERK6IC3yIyPa8vZX45pvRGDduLfLySgxyTYIgQKvV\n4fPPD+Pnn8/hscc6oHfve9C8eQDq1fNEUVEpUlPzcfLkLWzZchmnTt0yypnpx0N9fd3x9dejRIvz\ni9Fqdbh9O1f0XIMG3gbf//zzOXz55RHk5BSblbfT6YD9+6/hwIEEPPFER8yY0Q9eXpYXz790KVW0\n74yMAgwdurJ8E4Wa4hOLtaBAha+/Po6NG2OwePFwdOvW2OI4iYiqo9VyExEistyVK1ewc+dO7Nix\no7yYPmCYmxUEAe3atXNoAZKEhATs3btXNM8tl8sxYcIEh8ViisLCQhw8eBB//fUX4uLiJPPccrkc\n06dPR2hoqDPDJaJaQBBqT4H/2qawMF30OdzLy/YFKr29pdssLs6xeX9iavtcKSlcqE9ERER3Lxb4\np9pv8eJDiI/PMFrvEhnZBM8+G+nM0Oziww/3oKioVLRwsoeHAg891NZhseTnq7B9eyx+/fV8eb0C\nsWc4hUKGTz4Zinvuqeew2IjMpdNxYj6V2bRpU3luQ6wGy5AhQ5wQVe3FnFDdwfVLROQq/Pyk56am\npFzEPff0sllfKSn/VHve3EL4Wq0GW7dOh1pdXH5M/9zXo8dkNGzY0aI4LeHv30TyXGpqjM37u3PH\n+L3U34/ZY0MBIiJ74LwBotqLBf6JyMXwroLIlSQn5+Kzzw4ZFVDWJ5natWuA++9vblHbS5cew8WL\nKUaTIcLDG+DVV3tbF7gNzJ//IPz9PbBixSmjpJo+5t2747F7d7xkG/rEUtXfl8tlePHFHnj9ddsU\n909PL8B77+0y2lVTEAR8+OFgBAV52aQfIrI3x2Usc3NzodFoRCdo+fn5AQCKioqwePFiHDlyxKgA\nh9hkAwBGi4P03//111/4559/8MEHH1idVH/jjTfg6+uLP/74Q/L6fPToURw9elSyjbKfM74+y2Ry\n9OjxIqKiXrcqRiKiuujGjaM4e3a10WeBu7sPhg5d5KSoLHfs2H+NCtHr/+7Q4XH4+zd1WmyxsduQ\nk3MLKlU+CgszkZoag/T0WGg0ZWMuVZ+x9BQKJYYPX4LWrR9waLzp6Vdw5couo0l3ACCXK9G79xSH\nxkNEVNcw0U9ERESuiYW6iMg+2rQJxpo1T+LllzcgKSnXYAxNnw9LTS3AsmXHsGzZMcl2xMbgBEFA\n8+YBWLbsYbRsGWhyTNnZRVCrtaJ5u3r1yjbPLiwsxYwZ27Br1xWr83Zr1/6N06dv4auvRllUGCE/\nX4VbtyqK9en71+l0OHLkhkF8UrFJxal//YIgIDk5FxMm/IY5cwZizJhOZsdJRFQTnU7p7BCIyAVk\nZWVhx44d0Gg0KCgoQFJSEuLi4pCZmQlAeo6oIAjo2LEjPvjgAygUjlvys3r1ask897Bhw9CoUSOH\nxVLVwYMHcefOHRQUFCA7OxtXr15FQkIC1Orq89xubm6YOXMm+vTp4/CYiYhcSUFBhsH3+uupu7uP\nzftSKr0lz5WUiG9iaA1XmytVHebviYiI6O7FGx2q3Y4evYHVq88a5VB9fNyxaNFQJ0VlP7t2XcGO\nHcZFp/VjhU8+2RH+/h526XvbtljcupWD/HwVMjMLEROTitjYdKjVZRuBSD3DKZUKLFkyHA880Nou\ncRHZik4nc3YIVAukpqZixYoVkjVYWrVqhcjIu2/zGFMxJ1S3yeVaZ4dARGSS+vXvlTx38+Yxmxb4\nT0o6U+350tICs9o7dmwpUlIuGn2mNmgQjt69X7UsSAv5+jaEh4c/SkpyDeoI6HQ63L79N0pLi+Hm\nZpvnT7W6BKmpF42e7fVUKvPeRyIiZ+G8AaLaiwX+icjF8K6CyFWUlmowbdoWFBSoJBcgTZ9+v0Vt\nnz2bjG+/jRYp/qnAp58Og1xeO5Kb06f3RZ8+9+Cjj/bixo1sAGWDWpUXldek6iKpLl1CMWfOAISH\nh9gsztmzdyArq8hg4E0QBDz8cDgGD25js36IyL50upqvKbaSmyu9gMbNzQ1FRUWYPXs2YmJiRAuE\niF3/9NfHyucrXy9v3ryJN998E4sWLUKzZs2siv/5559Hly5dsGzZMiQnJxv0b+r1GTC8PoeGdsGA\nAXMQEhJuVWxERHVRcXEutm+fZXBMf33t3382/Pys29zF0aorSK9QeKBXr1ecFRoA4OzZ1UhKOm1w\nTKxoVuW4g4PbYPjwJQgODnNcoP+vus0SOnV6Cr6+DR0eExFRXcJEPxEREbkmFvgnIvtp0yYYGzY8\njc8/P4xffz0PrbaiQD0Ak3JNVXNSXl5ueO65SLzwQg8oleZt6p2VVSR5TqmUo7CwFJMm/YGzZ5Nt\nlreLj8/AU0/9ilWrHkfr1kFmxXv5cqrBOF9lUhsfVKfq+175e41Gh3nzdqOgQIVJk7qbFScRUU0c\nOUeDiFzX9evXsXLlSoNjYhsuVf5eJpNhzJgxGD9+PGQyx82FvX79Oo4cOSKa51YqlRg3bpzDYhGz\nYcMGXLx40eBYTXnu5s2bY8aMGWjRooXjAiWiWs2kqaF1kFarhlpdbLR5oCAIUCptX+Dfzc1L9PMG\nAIqLc8R+xSquNleqOqWlzo6AiIiIyF40zg6ASFJubjFmzdpucEz/7DR7dn+Ehvo5KTL7SEzMwZw5\nO42KTuv5+blj8uQedut/9eqzOH06yeBYTc9wbdoEY8mS4QgLC7ZbXES2wwGquk6tVmP+/PkoKiqS\nnDvz/PPPOym62oE5obpNLuf8XyJyDaGhXYyO6T/bY2O3IipqKgTB+jkf+vaqm0tbWio9j7iq5OSz\niI7+1qg9hcIdw4Z9CpnMvDnMthAa2hnXrh0wylVqtWrExm5FRMQjNuknNnYbNBq16D0YYN77SETk\nbGo1oGAlcaJah/8sicjFsJoQkauYOXM7zp+/bbSAWj+QMnz4vejd2/wCzYWFpXjnnW3li+SBiskQ\nb7xxH1q1Mm/xuL1FRTXHX39NxF9/xWL58hOIj88wGlCqjv5nlUoFPvxwMEaNsm3h6J9/PoeDBxOM\nYmnUyBdz5gywaV9EZG+1o8C/XC7HBx98YFDcv/LngFwuR/v27dG0aVMEBgZCo9EgMzMTV69exZUr\nV4x+vnKxkKysLMyePRv/+c9/EBRk3fW+W7du+Pbbb7F//378+uuvuHnzptnXZ61WB4VCicGDP0R4\n+Cir4iEiqst27ZqL/PwUo0JRrVoNtFnS1ZGOHVsmWZC+a9dn4O3t3EnDeXm3JYt2AYZFtBQKJfr2\nnYHOncfaZCKBuTIy4nHlSsXk8Mpxu7l5oWfPyQ6PiYiortFw3RwRERG5JC7wISL78vFxx3vvDcKE\nCd2watVprF17Hlpt2bmack1VxwwjIxtj6dJ/oV49T4tiqa7Av0Ihw5QpGw2K+xvm7WTo1q0xWrYM\nQP36PtBotEhLK8ClS6m4cCHF6Ocr5+3S0wvw/PN/4rffnkKDBqYX+7t0KbXa85X769ChIYYNC0Pn\nzqFo3jwAfn7uKCoqRUZGIW7cyMbhw9exb9813LqVYxRn5f8OS5YcQv36PvjXv9qZHCcRUc1YfIOI\napaWlgbAuHhx1Q2N9Pcu7du3x5tvvonGjRs7NE4AWLNmjWSee/To0QgICHB4TJWlpaWZnOd2c3PD\n5MmTMWLECIdukkBEtR8L/IvTaFSS59zcvOzSp0LhAbW62OCYTqeDWi0di6Vcaa5UTdRcUkdERER3\nLU5UpNpr7txdSEnJN1rvMnBgKzzySISTo7OtvLwSvPTSeuTmlgAwHMfUv+4337wfgYH2eVYEgNu3\n80x+hlMqFZgxoy/Gju0MmYwP/eQauIk4LV68GLGxsZI1WPr164cuXYwLBtclzAnVbfzPSESuomHD\nDvD2DkZhoXEdsZycW7h0aZNNatDEx+9BVtYNyaL0QPW5vspKSwuxbds70Om05cf0cd933xsICmpl\ndbyWaNmyP65dO2BwTP96o6O/Qfv2o02qAVSTM2d+qPa8VsudtonIdUh8JBCRk7HAPxG5GD4EEbmC\nTz7Zj7/+umyUWNJr2NAHc+cOsqjtBQv2IjEx22jxeffuTTBxYjcrI7c9jUaLzZsvYcuWy7h+Pcuo\nMKXU4Fnl90sQBKhUasyatR2bN8dg8uSe6NmzqdWxJSRkYvHigwZ96XQ6yGQCFi4cAh8fd6v7IKK7\nU2FhoeS5tWvX4uLFi0aT1nx8fDBu3DgMHjwYPj7iRT4yMjKwfv16rF+/HhqNxmixqP5nPvzwQ3z+\n+edWJds1Gg327t2Lffv2ISkpyeLrs1qtwvbtsxATsxk9e05G06Y9LY6JiKguionZiLi47UaJVU/P\nAAwe/JGTorJcZmaCZEF6hcID3bo966zQAAA6nRb5+eIFtMSS22q1CkeOfI7k5DPo1GksmjSJtHeI\nBo4f/1qyiETnzk/B09O5RSSIiOoCJvmJiIiIiIjEJSRk4rffzmPfvqvQaLQm5Zr0xfH1X+t0Opw8\neQsjRvyAxx/vgEmTusPHR2lWHAUF0gtzvv02GqdPJxnl7fz83PHqq70xalQ4/Pw8RH83JSUfP/54\nBj/+eAZqtVY0b5eSko/XXtuEX34Za3LBhEuX0sq/llqsHBERglmz+qNrV+PCtj4+7vDxcUezZgHo\n27cFZs3qjz/+uID//vcoUlMLDOKs3O777+9C+/YN0KqVdZuIExFVYPENIqpZaqppuVn9PcuFCxew\nYMEC9OvXDyNHjoSXl/0KZVV269YtHDp0SDTPrVQq8eijjzokDilarRYZGRmi58Ty3KWlpVi5ciUu\nXryIkSNHIiLi7iq0RkTWYPJTjEYjvU5LJrPP0lOZTC563NaFM1xtrlRNWOCfiIiI7l680aHaaePG\nGGzfHmf0/BAQ4ImPPhrspKjso7i4FC++uB5Xr2ZI5nH79WuBJ5/saLcYtFodUlPzRc+JPcOpVGp8\n/vkRnDmTjLFjOyEysondYiMisoVvvvkG+/fvl6zBEhwcjClTpjgrvFqBOSGSy7U1/xARUS3Rtu1I\nnD690qgGjU6nw6FDn6F58/vh5WX5nNXS0iIcPvzvGovba7WmbZy4d+8CZGcnGs1zbtKkO7p1m2hx\nnNYKCxuK/fs/hkZTajRPOTv7Jk6c+Bq9er1iVR/nz/+O1NRL1b6Xpr6PRES1Adf+E9VO3LOOiFwM\nk/REtd2XXx7BqlWnRRNLZbsgy7F48XD4+4svEq/O7t3x+PPPC0aDJT4+7li0aKj1wdvY1q2XMWzY\nSsycuR2HD1+HRlPxVKTT6coHlMT+6M9XfQ+PHLmBCRN+w9Spm5GWVmBxbBqNFtOnb0NxccV1VR/P\n+PFd0KvXPRa3TUTOodM5bvG4SmVYKER/rdLpdKLF/Xv27ImVK1di9OjRksX9ASAoKAjPP/88vvnm\nG4SGhhptQKK/PsbGxmLt2rUWx79//35MmjQJS5YswenTp6HVGu4wbMn1+caNI/jttwnYvHkqCgrS\nRPslIiJDubnJ2Lt3vuj1fvDgD+HlFejE6Cxz9uxP5TvXV/58LCtK9Sg8Pes5Mzzk56dCq1WXxyX1\nB6goNqZSFeDy5b+wdu14/P77s8jKuuGQWAsK0nDlyg7RIhIymQJdujztkDiIiIiIiIjIFXGmIhHZ\nT1paAWbN2o4RI37AypWncft2nkFurLpck9QYXEZGIb7++jiGDl2BjRtjzIpHpTJcUFJ5XFKsuH//\n/i2xc+ckPPNMV8ni/gAQEuKD6dP7YtOmZ9CsWT3JvN3583fw7bfRJsd76ZJhUb3K740gCHjxxZ74\n7benRIv7ixEEAY8/3gHr1z+Nzp0bGZyrvMlCcbEas2btMDlOIqKaOHKOBhG5Ln2B/5pys0DFfdHV\nq1exYsUKPP300/jzzz8dEueGDRsM7iP1fwuCgCFDhsDPz88hcUjJyMiARqMpj8uUPHdRURH279+P\nt956CzNmzEBSUpIzXwIR1RI11L6oszQa6c0DpQrxW0sQ5FW+F/4/FtsW+HeluVKm4CJ9IiIiunux\ngBrVPsnJuZg/f69onvTDDwcjMNAxm3M6gkqlxquvbsSZM0mSRacbNfLFwoVD7BpHamo+1OqK9Tim\nPMMVFKjw11+XMX78Wjz77O+4cSPLrjESEVnqhx9+wLp16yRrsCgUCsycORO+vr7ODNPpmBMiuX2G\npImI7KJz56fKc2mVP+OBsjXymzdPqzYPV5Pdu+chMzPBhJ+sOYEUH78bFy78aVSzzd3dB0OHLrIw\nQtvw9AzAvfc+ZPD+ARXv6bFjy5CQcMDi9tPT47B//8IaN0qo2j8RUW3GSxZR7cQC/0TkYrjTJlFt\n9sUXR/D118eNBp2AiokLc+cORGRkE65u23MAACAASURBVLPbzsgoxNy5u0QnQ7z77gA0auTcBUSV\nlZSoMWvWdrz55l9ITMwpTw4BhoWjlUoFevVqijFjOuLVV3vjtdf64KmnOuH++5vD09PNaMdLoCLR\ntGNHHB57bDUuXkyxKMb//vcYLly4Y3S8ZctAvP32/Ra1SUR1h1otvelS1SIhQ4cOxbx588yaVNCk\nSRN88cUXaNmypcHuuvr2dTod1q5di6ws8yZcqVQqLFmyBB9//DHu3LkjeX12c3NDp06d8NBDD2H8\n+PF4+umnMXLkSERGRsLDw6Pa63Nc3A6sXv0YUlIumhUbEVFdo9PpsG3bDJSU5BkcEwQB4eGj0Lr1\nA06MzjIqVT5iYjaIFqQXBBm6dZvgrNDK5eYml38ttZkNAIPJbpV/9ubNY1i9+hHExdm/ENa5cz9D\no6lYYKv/WxAEtGs3Ej4+DeweAxERMclPREREroo3MURkH9HRiRg9+iesX38RWq3OaExN/31oqB9G\njmyH556LxBtv3IdJkyIxalQ4WrQINCr2rycIAtLTCzBjxjZ89NEeaDSmzZEqLZUueFI1tscf74Cv\nvnoY/v7Shf2ratEiEL/8MhZt29aXzNt980000tMLamxLrdYiPj7DaLODivkkgzBtWlSNi2jEBAZ6\n4YcfnkD37k0N4qy8GcE//9zBli2XzG6biEgcq8MSUc1SU1Ml87LV3ReWFaYqwPLly/Hee+8hPz/f\nbjEWFhZi9+7dEnluAY888ojd+jaVfqMEwLI897lz5/Dqq6/i0KFDDo+diGoXFvgXp5+fI0YmU9il\nT6l2dTrbFnZ1pblSRERERHUbC/xT7aLT6TBjxjbk5ZUYHBMEAaNGheOBB1o7MTrbKilR46WXNuDI\nkRuSRac9Pd3w1Vej7L6pQXJybvnXljzDHTt2E488sho7dsTZNU4ia3AT8bpp1apV+Pnnn6utwTJl\nyhREREQ4KcLagzkhksk4/5eIXEe9ek0REfGowXNU5Tmrt26dxB9/PIfi4hyz2tVqNdixYzZiYjaK\n1rapShCqz+cVFmZg1665ojXbBgx4F35+jcyKzx769JkChUIJAEbPplqtBhs3TsGlS5vNbvf27fP4\n7bcJUKuLARjfQ1Rmr43PiYiIqO6wzywrIiK74UAcUW21cOE+/PjjGaPEUuXBp8mTe+Dxxzta1P7s\n2TuQmVlotAh70KBWGD26vU1egy2oVBo8//w6nDyZKLpgXBAENGzogylT+mDYsHvh5eUm2k5pqQYH\nDiTgv/89itjYdNGF8ikp+Rg/fi1+/PEJdOjQ0OQYz51LxvLl0UYDbwqFHIsWDYNSyVtEItfkuIkd\n1RX4Byque507d8bUqVMtKsLh5+eHuXPn4uWXX0ZRUZHBdRQAiouLsW7dOkyaNMmk9kpLS/Huu+/i\n/Pnzktfn4OBgPP300+jbty88PT1F21Gr1YiOjsaPP65GQsI10etzfn4K1q4djyee+BENG3Yw+7UT\nEdUFp059j1u3Thp9Rvj6NsLAge86KSrrXLjwJ1SqQqMEvCAIaNPmQfj7N3V2iBAEAZGRzyE0tDOC\ngtrA2zsYbm6eKCzMRF7eHdy8eRzx8buQknLBoLBW5eJkKlUB/vrrTQjCF2jTZrBd4tRoSvHPP79L\n3kNERj5nl36JiMgYC/wTERERERGV2b//GqZM2QiNRmc0bqXT6SCTCRg+vC0mT+6BsLBgyXaSknLx\n449n8Ouvf0Ol0hiNwQHAmjXnkJlZhM8/H1FjXKWl1W8EoG+3d+978MEHD1iUtwsI8MTSpf/CqFE/\noaBAZRRvUVEpVq06jbff7lttO8XFpXjuuUgkJmbj1q1cJCZmIzu7bNHMxIndMHZsJ7Njq0yplP8f\ne3ce3lSV/gH8e5N0T9O9paWlbGUpUGhBNtkUkEVBQEEUcWBABQdHQWEGHFHRGQV1VHRGxVEHRXAE\nFWQRFURE9t0CRQQKLd3pQvemWX5/9JfQNPembXLbJO338zw8pLnNOW+ucpfznvsevPHGnZg06VPk\n598cqzUxGo344IOjuOuu7g71Q0RUg8U3iKh+Xbt2xYABA9CtWzeEhYUhMDAQVVVVuHHjBi5evIhj\nx47h559/RmVlpegiRYIg4MiRI3j22WexcuVKeHp6yh7jd999ZzU3y/T3kCFDEBnp/Ae5BUHAvffe\ni+7du6N9+/YICgqCt7c3ioqKkJeXh1OnTmH//v34/fffJfPcFRUV+Mc//oFnnnkGQ4YMcfZXIiJy\nKQqFQnKbwdA0hVYNBvF5yAqF+LMV9nKXuVINxfw9ERERtVy80CHX8uGHx3D06DWr3GpkpD+eeeZ2\nJ0Ulv9JSLR599CscP54hWdxfpVLizTcnoFu3sCaPRxAE/PGP/dCnTxTi4kIQGuoHHx8PFBSUIzu7\nBIcOpeGHHy7izJkcyXu4sjItFi3ajjffFDB6dFyTx0zUeMwxtjbvvvsuNm/ebLMGy3333Ydx48Y5\nMUrXwZwQCQLvDYjIvQwZshCXLv2IsrLr5nNR7fkf164dw7p1UzBs2BJ06TKm3vZycs7gxx//jszM\nk3XuzTyh02mtrimA+gvTf/fdMpSXF1jNSenUaSR69Jhsz9eWnUbTFgMHPoZffnnTYj8CpiL/OuzY\nsRjp6Ydx661PwM/P9j2qTqfF8eMf4/Dh9yyK+wuCAKXSw7wva2uqhc+JiJoC5w4QuSZeTRAREZFD\n9HoD/va37/H112dtJpamT0/AwoX2JUA2bDiNvXsvWw2MBAf7YMUK506SrmvJkh3m4v5iK2xOn56A\npUtvg6en7cExDw8lRo3qjFGjOmPdupN45ZW90On0IgmmasyfvxmbNs1Amzb+9cZXXl6NxYu/hcFg\n+RC7IAiYN28AevaMcGwHEJETOX9iR+3jtFqtxtKlS+0qEmLSpk0bzJ8/H6+//rpVEX2j0YidO3di\n1qxZUCrrXwl31apV5uL+YsfnO++8E/PmzYOHh+2Hg1QqFQYPHoykpBF4883d2Lv3Fej1Oqvjc3V1\nBTZvno8ZMzbB37/hi7AQEbUGeXnnsX//WyIrvSswduzL8PRUOzE6+506td5GQfrZzRyNuKioRERF\nJVq9r1aHQ60OR2RkAgYMeASpqXvx008rUViYKjrRzWDQY8eOp3H//Z8jPFz+YlgXLnxrnsxQt/8O\nHYYhJKSz7H0SERERERFRS8KZikQkr+TkbCxcuA16fc3xpW7x1fBwNd55ZyISEuovftq2rQZLl47A\nrFlJ+POft+LMmRwAlnkrANi58wLatfvF7nkWtccqNRovvPbaeIfydtHRAVi2bASWLftONG+3adMZ\nPPnkEKhU0kUB1Wovq+9TXl6N9PQidOoUYndstYWG+mHZshFYtGi76KLfFy5cR3JyNnr1Yv6OiBzD\nh2OIqCFmz7bOE6tUKvj5+SEqKgrDhg3D3LlzsX79emzevFmyyH9KSgpeffVVPPPMM7LHuHXrVsnr\nxHvvvVf2/uwRHx+P+Ph4q/dDQkIQEhKCbt26Yfr06Thy5AjWrFmDa9euSeS5DVi5ciUiIyPRqVMn\nJ3wTInI2FgYSZ6uovtHYNAX+67ZrmterVMq7mI27zJVqKN6HEBERUcvFCx1yHefP5+Gtt/ZbPe+i\nUAh4+eWxUKvlX4TTGa5fL8Mjj3yFc+dyJYv7K5UKrFo1FsOHd2iWmBITo5CYGGX1fni4GuHhaiQk\nROKRRwZg795UrFz5E1JTC0Xv4fR6A55+egc+//x+dO8e3iyxEzUcz3mthV6vxxtvvIEffvjBZg2W\nO++8UzSf1FoxJ0QcAyUid+PjE4Rx41bhq68ehsGgFy1OX1ycia1bn0BYWDd06TIGsbG3wt+/DXx9\ng1FVVYry8uvIyDiOixd348qVfSJzRxQYOnQx9uz5u2gMHh7ekvGdPr0Bly/vtZoX4uMTjNGjV8i0\nF+TRv/8jSEs7iLS0wxb7sfY5Pjl5E86f3464uNHo2PE2hIfHw88vBAqFJ8rLr6Oo6CouX96LCxd2\noqQk22oOTlRUIvz9I3H+/Har/lUq6f1IRERE1BDST1MREbkkjsQRuZKKimrMm7fZqrh/3RUlp01L\nwHPPjbKrj9TUAqxatddqMoQgCFixYjSCg31l+S5y2LYtBTt3XpAsHv2XvwzHc8+Nqre4f10PPpiI\njz66Bz4+HhZtmuTnl+P553c1qK1//GMP0tOLzD+b2unZMwKPPTawUXERkWsxGpuvwL+tIvimY96k\nSZMQEBDgcF8jR45EeHjNRKq6x7+SkhKcPn263jb27NmDn3/+WfL4/PDDD+Pxxx+vt7h/bYIAJCY+\niHvu+QgeHj6i8ZWX52PXrucb3CYRUWug12uxY8diGAw683um43FS0kzExAxwYnT2u3btGAoLrwKw\nLBYFAGFh3dGmTYIzw2u0Dh2GY8aMjejYcYTF+7XPc3q9Fj/88KzFe3I5c+YryW0JCdNl74+IiKRx\nciwRERG5J17EEJF8dDoDli7dicrKmjHNug/OdO4cgk2bZjSouH9tkZEafPbZfRg9Os5qjM00vvjB\nB0eQnJxtsx0PD+n5B6ZYH3ooSZa5FXffHY+oKI1FjCY3blTiyJH0Rrfp6+uBrl3DbC4M0Fhjx3ZF\nu3aB5jjr2rXromx9EVFr1nxzNIioZdNoNJg3bx6ee+45+Pr6Wl1vmv7et28fDh48KGvfZ86cQUZG\nhrmP2td4HTt2RNeuXWXtr6n1798fb7/9NgYMsJx3UPu6tbq6Gm+++WaT5LmJiNyVraL6ted4yclg\nEF84QKls+DxeOTl7rhQREREREbkGrVaPxYt3QKczmN8zjZvNnJmEAQNinBidfK5eLcT06RvqLe7/\n8stjMX58N2eGKmr48A7YuHEGRozoaPF+7fs1rVaPZ5/9gfdw5IKYY2wNKisrsXz5cqvi/nVrsIwf\nPx6PP/64k6N1T8wJtVwS65ITEbm02NjBGDnyeQiCQvS8b/o5L+889u9/C+vXT8P77w/DG2/0xL//\nPRD//e9d+OGH55Ca+rP5d4Gb96PDhy9BbOxgyf49PPxE3y8oSMXevatEa7aNHr0Cvr7Bsnx/uQiC\nAhMnvoOwsC5Whf1r/6zTVeLcuW+wbdtCfPTRGLz9dj+89VYCPvjgdmzcOBvHj/8XpaU5VnNvAgNj\nMWHCask8paen69SwIyKqD29ziFwTC/wTkZvhFQWRq8jNLcWMGZ9j375UyQS+IAiYMaMPXnjBvuL+\ner0BS5Z8a35Qvna7kybFY+TIzo5/EZlUVlbjlVcsFyKonWB74IHemDWrr93t9+8fg1Wrxom2bTQa\nsXdvKvbuTbXZxu7dF7FpU7LVA+ze3iqsWjUOCgWzHUTurfn+DatUKuveax1bVCoVJk2aJEtfSqUS\nEyZMkEygHz9+3Obnq6qq8P7770senydMmIB77rnHjshq4omJ6Y9x41aJtm00GpGauhepqXvtaJ+I\nqGXat+91XL/+u9X7wcGdMGTIU06ISB4pKd+Ivi8IAnr1ureZo5GHp6cfJk58B+3aDbIqImE6z+Xk\nnJX87vYqLc1BevoRc3+1z+F+fqHo2HG4rP0REZFtTPITEREREVFrt27dSVy8mA/Auri/RuONf/97\nEsLD1Xa17empwmuvjUPv3pFWBVVr+gBefPHHetqwngJae0zNw0OJmTMT7YqvLqVSgfvv7y2Zt/vl\nlyuy9OMohULAvff2lIzz6NFrzRwREbVMnGdFRPIaNGgQnn32WSgUNdd3YnOd3n//fVn73LVrl+j7\ngiBg3LhxottcnY+PD5YvX44+ffpI5rl///137N6928mREpEzsDCQOA8Pb8lt1dUVTdKnTldp9Z4g\nCDYXG2hqzpor1RjM3xMREVHLxQsdcg2vv74Pv/9+3er9Tp2C8dRTQ5wQkfxOnMjA9OkbkJFRLFkb\nQKVS4NVXx2PixO7ODNUmPz9PvPPORAwa1E7yHu7s2Rx8802KkyMlqosDVC1dfn4+Fi1ahGPHjtms\nwTJx4kT8+c9/dmaobo85ISIiciUJCVMxevQKKBQqczF6wHruR31/AJg/r1AoMWLEX9G37yxUVRVL\n9u3l5W/1nsGgx7ffLrHIyZnOkfHxk9C580i5vrqsvLz8MXXqJ2jTppdVYf/G7EsAFp8NC+uGadM+\ngZ9fKKqqSiz6NP238vLSNN8XJSJyEOcOELkmFvgnIiKiRjt/Pg/Tpq3HuXO5NhNLjzzSH3/72+12\n9/Ovfx1EcnK21fuRkf545hn7220KO3b8huvXywBYJn0AoEOHICxbdpvDfYweHYeZMxMlH0L/+ONj\nkp/Nzy/Hs8/+ILqq5lNPDUWHDq61qiYR2aP5JnZ4e4s/zGM6rnTr1g1qtX2FTMQkJSVJbvvtt99s\nfnbv3r0oLCy0iM90HI2Ojsa8efMcji8ubjQSE2dKHp+PHfvY4T6IiFqCtLSDOHHiE6trUqVShXHj\nVkKlct4Dmo7Q66tx4cJ3ogXplUovdO8+0VmhOUyhUGLChLegVkcAsPxuJqdPfy5rnykpW2E0GgDc\nTIqbzuE9ekyBIHBIm4ioOTHJT0RERO6JFzFEJJ91605ajYuZxqueffZ2tGsX6FD7np4qrF49ET4+\nHgCsF5NOTs7GsWPSBelNn6vL1Ebv3m2g0UgX6musW2+NldwmNr/DWfr3j7F6z7RPU1JynRAREbU8\nLL5BRPJLSkrC7Nmz6yz6dPN1dnY2Tpw4IUtfOp0O+/btE81ze3h44PbbXWuObmMolUo8++yzCAkJ\nASCe596+fXtzh0VE5LIUChU8Pf0AwGpeV3V1uez9abVlFnOCahMrQNKcnDFXqjGYvyciIiIiajoH\nD6bhk09OWN0XqVRKrFw5Dp6eKidGJ4/t289j9uxNKCqqKfAoVhvA27smfz1+fFenxdlQSqUCb701\nARERNc+xit3Dff756eYOi6gezDG2ZJcvX8af//xnXLp0yWYNlvvuuw+PPfaYM0NtMZgTanm4UC8R\nubNeve7F1KkfQ60OtyhOL1WHprbavysIAvz92+Cee/6DpKQ/AIDNAv8+PtbzmA8e/Beys5Ot3vf3\nj8Tttz/TiG/V/Hx8AnHffZ/9f00BwWJfNkTdBRZ69JiMBx74H9TqcADi+1IQBHh7OzYfnIiIiIjV\nkIjIzXA2IpGz7d59EQ888DlyckolE0sKhYClS0dg4cIhdvdz6lQm3n//iNVkCIVCwMqV46BWu1bx\nz6++Oiv6viAIePzxwVAq5bnsmjdvAHx9Pc1tm/42Go04ciQd167dEP3cM898h4KCmxPsTQN6AwfG\nYOZM6cLZRERiNBrbK88mJCTI2l/Hjh3h4+MDwPrYd+2adEETAPjuu+9E3xcEAQ899BCUSqVdMdVN\nEA8YMA+enr6iMaanH8GNG7bjJCJq6aqqSrBz51KL90zXpAMGzEdERA8nRea4y5f3orKy5jq8bkH6\nLl3ugJeXfIveOIO3twaDBi2wKiJhOs9lZZ1CcXGmbP2lpGyV3Naz5z2y9UNERA3DAgFERERERNSa\nHTqUZs7B111IunPnEEyY0F2WfiIi1HjwwUTJh0++/PKM5GcDA31sti1W6N4R3bqFS85ZSE0tlLUv\nR/Tq1cZcZKP2fzcAqKzU4fr1MmeFRkQthNHIp8qJqGlMmTIFERHSRYX37NkjSz+HDx9GaWkpAOs8\n99ChQ+Hn5ydLP86iVqsxc+ZMyTx3SkoKcnO58BNRa8PCQNLqFv4wnYOqqkpl70urlb4n9/UNkb2/\nxmruuVKNwfw9ERERtVy80CHnKimpwtKlOy3eM90HzJ8/AD16RDgpMvmsXr0fTz21HVqtHoB4cX+N\nxhv/+c89uP32Tk6Ls7E0Gm8sWDBI8h7u1KksZGZKF8Ikam68t2+5Dh48iEWLFiE/P99mcf9HH30U\ns2fPdmaoLQ5zQi2LIPBASUTuLTr6FsyevQOJiQ9CpfKyuBaw9QeouW7w8PBBv35/xOzZO9Cu3SBz\nu7Zydn5+YRY/Z2aewpEj71vVbBMEBcaNWwlPT9eve6BSeWLMmL9jypT/IDQ0zqrQv60/pt9t06Yn\npk5dizFj/gGVysvcdlVVieh8HD+/0Ob8ikREDuH4ApFrYoF/IiIiarCPPjqGxx//BhUV1QDEE/ge\nHkqsWjUODz1kf9H4iopqLFnyLQwG6yTKzJlJuOWWaAe+hfyqqnQ4dSrT4uF1k6AgH4wb11W2voKD\nfTFpUrzFA1UmRiNw8OBVq898/vlp/PTTZavBJbXaEy+/PFa22IjI2Zpv5CUgIMDm9qioKFn7UygU\niIqKEj32FRUVobq6WvRzWq0WKSkposdnjUaDYcOGyRajr28w4uMnicYIGHH16kHZ+iIickc//PAc\nSkqyzT+bjpMRET0xcOB8Z4UliwsXvpXc1qPH5GaMpOn07DkFvr7BAMSLSGRmnpKln8LCK8jL+82c\nZK/9d1RUEgID28nSDxERNRyLXBARERERUWt26FC66PuCIOC+++Rd8HrWrL5WOS3T+Nj+/dbzAEyC\ngmwX+I+JCbS5vbEUCgGxsYGiObH8/HJzQQhnUyoVCAmR3jfXr5c3YzRE1DLx6RgiahoqlQqTJ0+2\nWvzJdG147tw5Wfr5+eefJbeNHj1alj6c7Y477jDPcxPLc8u1L4mIWgIfnyDRhQfLy/Nl78tWm65S\nOKO55ko1FvP3RERERERN47nnfkB2don5Z9P9Uc+eEZg/f6CzwpKFVqvDwoXb8O9/H7KoBQDAojhi\neLga69bdh379XOv5/YaYMqUngoN9AYjfw5065ZxF2ojEMcfYEm3atAkvvPACKisrAYjXYFGpVPjL\nX/6CyZNbxrOGroY5ISIiciWenmrcdtszmDt3F2699QmEhXWFICjMhefF/rRp0wtDhz6Fhx/eg2HD\nFsPDw9eizdLSHMn+/P3bmF9XV1fg22+XwGg0mN8zPaeflDQT0dG3yP+Fm1D79rfioYe+weTJ76FL\nl7Hw9tbY3I/e3gHo3n0i7r33I8yYsQkxMf2t2iwryxPty98/sqm/DhEREbVwKmcHQETUOJyNSOQM\ner0Bzz+/Cxs3Josm8E0/azTeePvtiRgwIMah/pKTs5GWVmSxOrWpj7Vrj2Pt2uMOtW9qq+7fX399\nFl9/fVb099u2DcDu3XNFt509mwOdziBahHLw4FiHY61r6ND2WL9efFL46dPZmDrVspDA9u2/mV/X\n3p8lJVUYMWKNLDGJ7c/bb/9A8vdfeWUsJk3qIUvfRNT8AgMDrQqL1KbRaGTvU62WXgW4oqICHh4e\nVu///vvv0Ov1osfnpCT7F6IBxFeybN9+KE6dWi/6+9nZp5GQMNWhPomI3Nlvv+0QPWdkZyfjn/+M\nl6WPum3fuJGB11/vJvn7Dz/8IzQaxxalMRj0uHLlF9HFZLy9AxETM8Ch9l2FQqFEbOxgpKRsE53k\nlpOTjG7dxjvcz6VLeyS3delyh8PtExFR47FAABERERERtWa//poluW3o0Pay9hUS4ovu3cNx7lyO\nRU4LAPLyypCTU4KICH+rz4WG+trM29W3AIA9NBpvyW1lZVp4esrfpz0CA32QlVUiOqZZUSG+gDgR\nUUNx3IyImlL//v3x3nvviW7LyMhARUUFfHzsv+bS6/U4duyYaJ7b398fvXv3trttV6JUKpGUlIQ9\ne/aIXhNeuHABI0aMaP7AiMhpxOZ9Ug2NJgrZ2WcAwGJMoqqqGAaDDgqFfI+glpdfl9zm6xsiWz+O\naK65UkRERERkwgFXcq4dO34TzbUmJ2cjPv6fsvRRt+2MjBvo1u11yd//8ceHERXl2DOa+fnlmD9/\nM379Ncvi+9WuCyAIAuLiQrFmzWS0aWOdj3YHSqUCgwfHYtu2FNF7uOTkHIwfL/1sEVFzYo6xZdHr\n9Vi9ejV27txpswaLWq3G8uXLW0z+xRUxJ9RyGI08UBJRy+HnF4YBA+ZhwIB5qKgowvXrF1BcnAmt\nthSAAC8vNTSatggL6wYvL+l6OgCQl3fe/Lr2uc7PLxRKpaf55+zsZBQVpYnWbDt+fC2OH1/r8PcS\nqzF29uzXOHv2a9HfDwhoi7lzdzvUZ4cOw9Ghw3AYjUbk519EYeFVVFTkQ6erhErlCx+fIISGdkZQ\nUHub7RQVpUOrLbOap10Tp/steEdErRfHF4hcEwv8E5Gb4RUFUXMrK9NiwYItOHgwTTSxZHrdtm0A\n1qyZjE6dmnZStVhCpbHqToRwtO20tCLJbQkJbSS32atfP+kBodTUgga3I8e+BOTfn0Tk+jw9PREc\nHIyCAvFjjiMPkEqxVeC/ulq8AEdmZqbkZ7p27epwTHVFR/eT3FZQkCp7f0RELUFTXpNKtV034eqI\nzMwTqKy8IbqYTKdOt0MQFLL04wqiohKRkrJNdFt5eb4sfVy+LF3gv3NnFvgnIiIiIiKihmKOiojk\ncfVqkUTRUy/ExgbJ3l+/fm1x7lyO6LbLlwtFC/x7eqoQFuaHvLwy0c/5+Vkvku2ogAAvyW1arV72\n/uzl7S09PZbTGYjIcQZnB0BELVjbtm2h0WhQUlIi+lBxUVGRQ/Ozzp49i9LSUtE896BBg6BQtJw8\nd3x8PPbsEc9DFxVJz/0lopaJBf6lBQTESG4rKcmWtaBFSUm25DaNJkq2fhzVHHOlGovjGURERNRy\n8UKHXJM7P+9y6VI+Hn74K2RmFtss7j9oUDusXj0RarWnreZcXmJiFLZtSxHdlp9f3szREFFrUFFR\ngeeffx6nTp2yWYMlIiICL730Etq1a+e0WFsL5oRaBo7jE1FL5eMTiJiY/nZ/PjfX8n7HdE8XHNyx\nwW24Ys22xhIEAaGhcQgNjbPr83l54veNABq1L4mIiIjEsMA/ERERSSooKMfcuV/i3Llcmwn8Hj0i\n8N57kxAa6tfkMUkN9DRF23WTaVKKi6skt4WE+DoeWB3+/l7w9FShulpvMcBlNBpx40Zlg9tpyn0p\n1r7Yg2ZEJKfmzVhGRUUhPz9fwIOwiwAAIABJREFU9N90RUWF7P1JFfEHAC8v8SIipaWlkp8JDAx0\nMCLr7+3l5Q+VyhN6fbXV8bmy8oaD/RERtUzNeX0PyJ8gvnRJuiB9XFzLKkjv6xsqua2ystjh9quq\nSpGRccKiYNrNyYw9oNFEOtwHERE1HodxiIiIyD3xIoaI5FFSIj4XIDhY/sWuASA0VHp+ga25ALGx\ngcjNLRUd/ywrk86x2auqSrqIv4+P60xJvXGjUnJM2MdH/oUPiIiIiOQUFBSEkpIS0W0lJSWIjLQ/\nf3r48GHJbUOGDLG7XVcUFCS9MJfU/iUiao0CA6ULjBUVpcla4L+w8KrktpAQ+4pxNIWmnitlD+bv\niYiIiIial7s+73L6dBYeffRrc75UqjbA5Mk98OKLo6FUuv+Cn7Zy7cXFDX/unqjpsXJ1S1BUVIRl\ny5bh0qVLNo+zcXFxWLFihc1cBcmHOSEiImqp9HotCgpSRe8ZG5Nbc8Wabc0tN/e85LaQkM7NGAkR\nkWM4d4DINbn/SDsRtTK8oiBqLhkZxZg+fUO9xf1HjeqMdeumNVlxf0EQZP/T0L4aqqxMK7lNrfZs\n1PdtqIAAb4ufTfGWlkrHYvo9V9+fRGQfQWjege127aQf5ikoKJC9P1vJc19f8QlYthYa8PNrmvOW\nt3eAxc+m459WK73YABFRa9IU16NS15qNuXa1V2rqzxYF6U08Pf0QGztY9v6cydNTLbnNYHC8SNjV\nq7/AYNABsEzY10xobFmLJRARuRMO6RARERERUWtWdy6AadxKrRZffNpRgYHSCweUloovNgAAnTqF\nSG7Ly5M/R2VrsYGm2jf2sBVnWFjT5AqJqDVxrYcPiajl8fX1lXzQWa+XXnCpIY4cOSKa5/bx8UFS\nUpJDbbsaqXllgOP7kYjcEZOfUsLCukluKyhIlbWvwsIr5te1z0NKpafNhQaaW1PPlSIiIiIiItfT\nEp532b//CmbN2mjOlYrVBlAoBDz55K34xz/GtIji/oDtZ/mrqw3NGAlRfZhjdHc5OTl48skn6y3u\nP3jwYLz22mss7t+MmBMiIqKWKifnrOjz9wDQpk1Pyc+xxpi1rKzT5te149Ro2sLHJ9AZIRER2cWF\nD7VErZrK2QEQETUOryiImsO1azfw0ENfICurxGZiadasJPzlLyOaLI7mXoXR3v48PZWS28rKmmby\nttTD+15e0pd37rI/ichezftvrlu3bti+fbvotrS0NNn7KyoqEn2wNCgoCAqF+EQyDw8PyfZsFf93\nRFWVeJEUlcp1ipkQETlLS7seLS8vQH7+RfM9U+2/Y2MHQ6mUPg/JQafToqjoCoqK0lBUlI4bN9JR\nVJSGGzfSMXToYsTFjZK1v8rKIsltHh6OF8NKTz8iua1jx9scbp+IiIiIiIhaE84rICJ5eHoqUVmp\nM/9sGgMsL9fa+JT9Skul27U1F6B370h8/vlp0W2XLuU7HFddBQXlonm70FA/KBTix+DKympcvVqE\ngoJy5OeXIz+/wvy6c+cQzJrVV9YYS0u1KCy8mQ+0LFzrgeBg6Yd6iYgagg/HELU++fn5yMjIQHZ2\nNjIzM5GVlYWsrCyoVCr885//lL2/4uJiyYeevb297W73xo0bSEtLE81zJyUlQaVq2keMtFotMjIy\nkJWVhczMTPP+zM7Oxpw5c3DrrbfK2l9xcbHkNkf2IxG5J05tlxYW1h0KhQpGo97q/JOTc0bWvnJy\nzlj0YZrjFRzcyWbBj5Y2V8oevA8hIiKilosXOuR8LeF5l337rmDBgi3QavUWfdSuDeDlpcLLL4/F\n+PFdZe+/Nq1WhytXipCWVoT09CKkp9/4/9c3sHjxUIwaFSdrf0VF0ou/+/k17bM9RI3Dc547y87O\nxuLFi5GXl2ezBsuUKVPwyCOPODNUl8CcENmD4/hERNauXPlFcltUVJLo+y3hHlduOl0VMjKOWeUp\nBUFAVFSiEyMjIiKiloIF/omIiMhCdnaJubg/IJ7AVyoVWLZsBGbMaLrBiaZcjVFqUMj2SpHS7QUG\n+khuS0uTnthtr8rKalRUVIs+YBUYKJ5ccrX9SURNoXkHvOPj48WjMBqRnJwsa1+lpaXIzs626qem\ngHKs5Oc0Go3ktszMTIdiMhqtj3HV1ZWorq4QPT57e3O1XiJq3Zr62lDsmtR2n47Hk5FxTHJbTMwA\nh9uvz7VrR/Hll3Os3hcEAVev7pf9odXS0lzJbf7+EQ63f+3aUfNry2JbQQgNlXfyNhERNRyHd4iI\niMg98SKGiOQRGOiN7GzrxZ0zMorNOSA5FRSU24hFel5Cnz6Rou8bjUYcO5bhcFy1FRdXIj39hlU/\ngiAgLi5E8nNnzuTgwQf/J7otLi5U9gL/J05kwGAwiubtuncPk7UvImqtXP+hRCKS14svvoiUlBSr\n9wVBQFFREQID5Z0bVFBQILktLMz+6xlb87p69+5td7uN6X/ZsmVW7wuCgBMnTshezCU/X3rBK0f2\nIxFRS6NSeSI0tAtyc89ZLOpnNBqRlSW+qKA9SktzUFKSbXGfbuorJuYWm59taXOl7MH8PREREbVc\nCmcHQK2cqz3vYk84+/dfwZ/+tAXV1dLF/QMDffDvf9+NpKS2je+gkY4evYY5c760el8QBOzff1X2\nAv+5udZ5fZOICH9Z+yJyhCAwx+iu8vLyzMX9AfHjrEKhwPz58zFx4kSnxelKmBMi+3AQlIjcl8Gg\nQ1lZPpRKD/j6BsvW7sWLu8yva99L+vtHIjCwndXvu16NscbHU1VVgrKy6wgO7tDoz0pJTd0Hna7K\nKk8JAO3aDZKtHyKi5sC5A0SuiQX+icjN8LBF1JSKiysxZ86XNov7e3ur8Prrd2LkyM5NFkf//jFI\nSVnUZO136/a66EPckybF4+WXxza6vXbtpB/MOn06y5FQRZ05kyO5LSbGOpZPP50mewwm77xzAO+8\nc1B0f/7441xERkoX1yYi9xYdHY3w8HDk5eVZPcxz8eJFFBYWIigoSJa+zp07Z3WMMencWfp8FBkp\nXswEAM6fP+9QTAaD9UhXTs4Zyd8PDIxxqD8iIne3aJF1oQO5fPHFTKSnH7VaMV2jicLcububrN9r\n12wV+B/YZP2ahId3A2Cd9DYajUhLOyB7f9euHZHcFhzc0aG2KytvID//ouiq99HR/R1qm4iIHMMk\nPxERERERtWYxMYHIyiqxylFptXqkpOQiPl7eYm625gK0axcgua1Dh2BERWnMsQI383bnzuUiP78c\nISG+ssR48mSWZN6ue/dwyc917Rpmjqs2o9GIy5cLUFqqhVrtKUuMAHDkSLrktr59m75gBRG1Biy+\nQdTadOzYESkpKVY5TQA4efIkbrvtNtn6unjxIioqKkSvuQICAqBWq+1u21aB/z59+tjdbkN17FiT\nWxa7Ljx58qTs/dn6vjExnM9F1NpI1Jug/9e+/a3IzT0HABbnn8LCVBQXZ0KjiXK4j9TUfZLbYmMH\n2/xsS5orRURERER1KZ0dALVyTfk8+8yZX+Do0XSrccWoKA12754rSx9nzuTg8ce3ihb3N72Ojg7A\nf/5zD9q3l+d5z/p06xZujqE2o9GIAwfSZO/vyJFrkts6dpSvsCaR4zhA5Y5KS0uxbNkym8X9PT09\nsWzZMgwaxOKwJswJkT30ej7ERETuY9++fyI39yzKyvJQWpqHysoiGI1G9Oo1FXfc8aIsfeTnX0Re\n3m+idb06dbrd6vdjYvo3aU2H11/vJhpLfPwkjB37sl1t5uScweHDa1BWlouysusoK8szF+J/5JGf\noFbLM1f7/Pmt5te1r08EQYGOHUfI0gcRUXPhs/9EronLWRORm2GBf6Kmotcb8NhjW3DpUs3KxGKJ\nJY3GGx9+eG+TFvd3R927h0GhuPmQvOlvo9GIQ4fSUFFRLWt/v/xyVXJbz57yFhBwBB+CIGpegtD8\n/+gGDhxoPl/UXmnXaDTihx9+kK2fX375RXJbv379JLd16tTJ4rhs+tuU/K+srLQ7JrEC/1evSscZ\nEdHT7r6IiMg1ZWTcLPBfO5Hr4xOMkJBOTd6/r28I/PxCzT/XPhcXFaUhK+tX2frS6bRISztkNaHO\npG1b6fNxQ2RknBC9pgBqJhMQERERERERNQ5nKhKRPHr0kC5Yv3v3JVn7qqioxvHjGVa5LQDQaLwQ\nG2u70MJtt3UUHWMzGIz46ivpRaob6/vvL0huGzq0veQ2f38vREb6m3+uG6OtdhtLq9Vj8+ZzkuOZ\nI0awCB8ROc4ZczSIyLlMRUgA65zmrl27ZO3r0KFDVu+ZHoru2dOxOUhnzty8Nqy7cEC7du0carsh\ngoKCEBR089q29r7MzMzE+fPnZetLq9Xi1KlTkteFju5LInI/RiPHDW3p0GGY5LaLF+WZE3zx4s1z\nZu3js1Lpgeho23OEWtJcKXsp+CQwERERtVgs8E9kr+zsEjz66Ffm59jFivt36RKGDRvub7bi/gAQ\nEuKL0FA/88+17+HS0orw669ZsvWl1epw6FCa5D1cv35cAJ5cCXOM7kav1+O5555DWlrN4iRiNVjU\najVeeeUVFvevgzkhsodY/QYiIldVWHgFV67sx/Xrv6OysghAzTVCZuYJ2fo4eXKd5LauXcfL1o8z\nKZWe+P3375GVdRrFxRnQ67Xmc3pGhjz7srQ0B5cu7bZafE8QBMTEDISvLxeGIyIiIsdxWg8RuRkW\n+CdqKq+8shfHjl2zSNrXTiwFB/vik0+moW9fJrLrUqu9EB8fIfqwfGWlDl9/fVa2vrRaHb7++oxk\ncmnQoKZ/wIqIXFXzT+wYPny41Xum88iWLVtQXe34AifFxcXYs2ePaDETX19f9OrVS/Kzfn5+iIuL\nEz0+a7VahxYhqLsCvE6nxZkzX0sen9u148QMIqKWRK/XIi/vgmgiNyysW7PFERMzwKp4hMmvv/5P\ntn5OnvwU1dUVAG5+TxONJgqhoXEOtZ+dLf2AbXh4d4faJiIix7BAABEREbknPuBDRPIYONA6/27K\nhW3alAy93iBbX5s2JaO6Wg8AFrktQRDQv39MvZ8fN66rZKyffXYKWq3e4RiLiiqwfft50bydWu2J\nW26Jtvn5/v1jJMcz5ZxXsXnzWVy/XgbAejwzOjoASUmc90JEcmDxDaLWJjEx0eo90/XWiRMnkJub\nK0s/lZWV2LZtm+QcpAEDBtjddnV1NVJTU0Xz3LUXMGhqvXv3lrwu3LFjh2z9bNmyBZWVlQCsrwvD\nw8PRvn172foiImoJoqKSzAX0a9/7G41GnD7t+Dyk4uJMpKb+LHoe6tRpJDw8fOpto6XMlbKXio/U\nERERUYvFCx0ie1RX6/H449+goODm/Qtw815OEAT07h2JdeumISzMz1ZTTWLAAOn88P/+J98ibZ9+\netJigYPa93BRURrExYVKfZSIqF5r1qzBmTNnJGuwBAQE4NVXX0WPHj2cGabLYk6IGqtu/QYiIlcW\nEWF9/jcajSgouIyiojSH2y8tzcW5c1us8nYAEBbWHW3bJjnchysICekMlcrb4j3T97x06UdZ+jh6\n9EPo9TqLtk0SE2fI0gcRUXOSmFpIRE7GshxE5GaYpCdqCnv3puLTT09IJpbUai/8979T0a1bmDPD\ndGl33in9sPyaNUfMkwMctW7dKeTklAK4mVwy/Tfr1CkYXbvyvxFR69X8D4/37NkTHTp0sDoeAUB+\nfj42bdrkcB+ff/45tFotAOtiJqNHj4ZSqbT5eVuLEHz++efmhH1jGY2WI12nTq1DaWmORXymeIOD\nOyEszPo8QURE7uv69d9hMIgnckNDuzRbHD16TLF6z3QOSkn5BoWFVxzuo6KiEEePfmBVQMJ0vouP\nn+xwH7m5KZLbnPVALBER1ajnlouIiIiIiKhFu/XW9ggIqHlopG4uLDe3DOvWnZKln4qKarz//hHJ\nIq533ln/oqL9+kWjS5cw0bxdTk4pPv74mMNxvv/+YVRWWo6LmvqbPLkHlErb01EnTYq3+Ll2rMeO\nZeDAgasOx5ifX47Vqw9IjmfOmNHH4T6IiGqwwD9Ra9O2bVt0795d9HrLaDRi7dq1svTzxRdfoLCw\n0Nxu7esab29vDB061O62r1y5Ar3eclEpkw4dOtjdbmPdcccdVu+Z9unu3buRkZHhcB/FxcX44osv\nJK8LR48e7XAfROR+JOpI0f9TKJSIj7/b4p7fpLAwFSkpWx1q/8CB1TAaDVZtA0CvXtMa1EZLmStl\nLw8Pp3VNRERE1MQ4UZHIHm++uR/JydkALIv7m3TtGooPP7wXGo236Oeb2pQp1sUuTfdw33yTgitX\nCh3uo7CwAh98cFTyHm7y5HiJTxI5BwvwuZcjR45g8+bNkjVYfH19sXLlymZdRNndMCdEjcUC/0Tk\nTqKiEs2v6+a+zp79yuH29+5dabEgtYkgCOjb9yGH23cVgqBAZGQvq+9oNBpx8eIuaLWlDrWfl/cb\nTp/eYLFQgklAQAw6dbrdofaJiJyBz/4TuSYW+CciN8MC/0RyKy3VYvny7y0GH2onllQqBd588y50\n6cIV6m2ZNKkHfHxqZkyLPSz/8ss/OdzHmTM5WL16v+hD/YIg4MEHE0U+RUSthbMmdkyZIv2wzGef\nfYaLFy/a3fbp06fx1VdfiQ6UA8DEiRPrbeOOO+6At7d44ZX8/Hy89957dsVWO0Gck3MG+/evljw+\nJyY+aFcfRETkuvLyzktua86C9LGxg+HvHwnA+jxnMOjw448vOtS+waDH1q1PoKKiCIB1AQkPDx9Z\nVqbPy/tN9Hzv7x8JT0+1w+0TEZH9VBySJyIiIrfEB3yISB4qlQJTp/ayevDGNBb39tsHcPlygcP9\nLF26E9evlwGwHoNr00aNUaM6N6id2bP7Wr1nivVf/zqEc+dy7I7x8OF0rF17QnQcTxDQoML5Awe2\nQ5s2/lafB2q+99//vgeVldV2x2g0GrF48Q7JfRkc7IPp0xPsbp+IqDZB0Ds7BCJygjFjxli9V7sI\nydmzZx1q/9ixY9iwYYPotZIgCJgwYQJ8fHzsbv/y5cuS29q3b293u42VlJSEsLAwANZ5br1ej3/9\n618Ota/X6/Hiiy+iuLgYgPhCCXfffbdDfRCRe2KB//r16jUNglDzuGntMQCj0Yi9e1eirCzPrnZT\nU/fi3LktouMKgYGxiI0d1KB2WspcKXsxf09EREQtF6sRETXWr79m4b//PS5ZGyAsTI33358MtdrT\nWSFi8OBYREbezA/XvofT6Qx48cUfHWpfrzfgiSe2oqjoZsHL2vvDx8cDM2bwuXtyNRygchfl5eV4\n8803JY+zSqUSzzzzTLMuoOyOmBOixmKBfyJyJ9HRt0CtjgBgnVc7dWo9KirsX9TsxIlPcf78dnN7\ntc9vGk0Uuna907HgXUy3bhPMry3vHStx5MgHdrdbWVmMb75ZAINBZ9G2aZ/ecstcu9smInIWhaLm\nDxG5Hv7TJCI3w9mIRHJ7991DyMmpWamw9gCHaSBi4cIhGDKkvZOicx9BQT548MFEi9W3TfvQaDRi\n48ZkvPPOQbvbv3KlEAsWbEFVVc3DoXUH39q21WDKlJ6OfQkicmuCoHNKv6NHj0aHDh0sjnk18Qio\nrq7G3/72N1y7dq3R7aampuLll182/1x3oHzkyJFo27Ztve1oNBpMnDhR8vi8c+dOrFu3rtHxGQw1\nx+DCwivYsmUB9Poqi/hu9t8WPXtaL4JARETuzVaB/+Dg5puYJwgCBg58TPI8d/XqAezdu9KutvX6\nauzc+Vekpx+xmkB3M3H9MHx8ghz6DpWVN1BSkmVut3b7QUGc5EhE5GweHs6OgIiIiMgefMCHiOTz\nxz/2g1rtBQBWubDS0irMm/c1rl27YXf7r732M3buvCA5Bjd//kCoVA2b5jlpUjy6dAkTzdtptTo8\n8sjXSE1t/IIEFy5cx1NPbTcXQqw7jjdxYjxiY+sfJxQEAQ8/3F90PBMALl8uwJNPboNeb2h0jNXV\neixatB0HDlyV3JeLFw+DtzdvdIlIHgqF/QuSEJH7GjlyJCIjI0Wvt4xGI1588UVkZ2fb1fbZs2fx\n8ssvW11rmWg0GkybNs2h+G0V+I+Ojnao7cYQBAEzZsyQzHOfOHECa9assattnU6H1157Db/++qvk\ndeG0adOg0Whk+S5ERC1NUFAsunefYHE+Mikvz8eWLX+CVlvWqDavX7+AHTuWmH+ue64bOnRRg9tq\nCXOlHMEC/0RERNRyscA/UWO99NIeGAzWY4lGoxEqlQJvvz0BERH+zgwRgiDgsccGSt7DHThwFStX\n7rWr7epqPf761504ciRd8h7u4YdvQVCQ/QumEjUFLiLuPtavX4/8/HwA4jVYZs+ejX79+jkrPLfB\nnBA1Fgv8E5E7EQQB8fF3i+bVqqpKsHu3fQtTX7q0B3v3rrSYM2JqXxAE3Hbb36BUtqy5sF27jodK\ndXOutulvo9GI48fXIifnXKPbrK4ux9atT6CoKB2A9TyciIieSEhwbB4OEZEzKDmcTuSyWOCfiNwM\nZyMSySk3txTr1p20WjnaNCDRr19bzJlzixMjdC+PPTYQUVEayYfR33nnAJYs+RbFxZWNavfnn1Mx\nbdp6mwsxPPvsSHh68s6LqDVz1sPjgiBgwYIFUPz/0o51H14tLCzEk08+icOHDze4zeTkZCxZsgRF\nRUUArAfKvb29MWfOnAa3N2PGDISHh0senz/99FOsWrUKpaWlDW7TYBCQmvoz1q+fhtLSHHOcJjcX\nIngWSqVng9slIiL3UFCQKrlNrQ5vxkiAhISpiIrqIznR7dixj7Fr1wvQ67UNbrO0NAcbN/4BKSlb\nrc7tJqGhXdG//8MOx19YeEVyW3PvSyIissYCAUREROSeeBFDRPIJDvbFk0/eajX+ZnqdllaE6dM3\n4KefpIuliikr0+KJJ7biP/85KjkG17t3G0ybltDgNgVBwPLlt0OpFM/bXb9e1uhYjx27hoce+gL5\n+eUArPN2Pj4eeOqpoQ1u74EHeiM+PkJyPPOnny5jzpwvUVBQ3uA2s7KKMXfuV/j2299EC+3WFAts\nj0mTejS4TSKi+ghCw/MuRNRyeHp6YsGCBeafxeZJPfXUUzh3rnEPFn/77bdYsmQJyspqCiaLzUH6\n05/+BH9/xwpypaenS24LCQlxqO3GGjduHLp37y55Xfjll1/i7bffRnV1w+fE5efnY8mSJfjxxx8l\nr7E7dOiA++67T94vQ0Ruw2BgYaCGGDx4AVSqmnmvdY/PWVm/YtOm2Sgru96gtjIyTmDjxlmoqioG\nYD2uEBnZB3FxdzQqPnefK+UIj5ZVq4WIiIioFub4iRrjhx9+x6+/ZgEQH0ucO7c/+vSJclZ4FqZO\nTUCfPlGS93Aff3wML7ywC1ptw4ue5+SU4g9/2IitW1Mk7+G6dg3Fww/3l/fLEMlAodA5OwRqgPz8\nfGzZskWyBkvPnj0xdepUJ0boXpgTosbgOD4RuZs+fWbAw6NmYbG657gLF77Fjz++BIOh4fc7Bw/+\nC1u2/AlGY81narcnCAI6drwNnTrd1iTfxZm8vNRISJhmtViCIAjQ6SqxefOjyMs73+D2Cgou47PP\npiIt7aBVfSGj0QiFQolRo56X+2sQETULPvdP5Lr4z5OI3AxnIxLJ6bPPTqGqSmeRtKj999Gj19Ct\n2+tNHkf//jH45BP3X9HQx8cDr79+J2bO/AI6nR6CIFgM8giCgG++OYd9+1Ixa1Zf3HNPT4SG+km2\nd/JkJt599xB+/jnVYpCo7usHH0zE8OEdmuU7EpHrEgTnFPgHgJ49e2LmzJlYu3at+XgH3DxOlZaW\nYvny5Rg0aBDuv/9+dO3aVbSdnJwcbNiwATt37jS/JzbJbN68eQgODm5wfN7e3li6dCkWL14MnU4n\nenzevXs3jh49iilTpmDs2LEICgqSbO/cuXP46KON+PXXAzaPz4mJD6JDh+ENjpOIiNxHcXGmxYS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DG621wpR6g47E1EREQtFi90qOWT614uPf2GVXvN/ccRgwfHYvv2WRg7toss93BqtReefnoo\nNmyYjpiYAIdiI2oOglDt7BCoHllZWQBaVw2W5u6bOSGypaWM4xNR66TRtMWMGV8iIWGaw/N1PTx8\nMGTIIjz44CZoNK51fqv7fZri2qF//0cwdepa+PtHNngujth+FAQB0dH9MHPmV7LnKImInIXzBohc\nF/95EpGbYUUhIrnk55e7TAHi5o5Dqr+miCMoyAcvvzwWc+fegrVrT2DHjt9QVqY1b5caNKodiyAA\nfftGY+bMRNxxR5zsMTpKbL+5yP9aRK2OIBhQdx03Zx3rO3XqhLfffhv79+/H5s2bkZycbN7WkGNf\nZGQkJk2ahDvvvBOqJhhZ0mg0eOqppzB16lR8/fXX+Omnn1BRUdHgGI1G/P9gfl8kJs5EXNwdssdI\nREQNJ36+a5pzYHV1heT5VaXybpI+G8vXNwR33fUGsrP/iGPHPsalS7ug19+cBCqVLK/9vTSaKPTq\nNQ0JCffBxyewyWKV3p8CVCrnF5IgImrNmOQnIiIi98aLGSJqWqNHx2HEiI7YsuUcNmw4jXPnci22\nN2QMLijIB5MmxWPmzERERjZdMfru3cOxadMM7Nr1Oz755CSOHbsGU3gNydu1axeImTMTcd99CfDw\nUMoeX5s2/nj33Uk4eTITa9cex+7dl6DT3VzYvCH7MjTUD1Om9MAf/pCE4GBf2WMkIhKjUBjq/yUi\nahVuu+023Hrrrdi6dSu2b9+OzMxM87aGXG8plUrccsstmDx5Mnr37t0kMVZWVkrmuV2hwD8ABAUF\n4ZlnnsGFCxewadMmHDhwADqdzry9IdeF4eHhGDduHO68805oNFzwiYgs6XSK+n/JxTXnHKnafQ4c\n+Bji4+/GoUPv4vz57dDpKs3b6zvPaTRR6NNnBnr3vh8eHj5NEqM7zZVyhAcfqSMiIqIWyzXGJoia\nipzPYF+/XuYytQHsFRLiizfeuAt//GM2Pv74GHbtuoTq6puLKjfkHi4qSoNp03rhvvsSEBjYNPea\nRE1BodDV/0vkVIWFhS5znG2uOMTPU03bN3NCJIUF/onI3alUnhg16gX06jUNR49+iN9//x5GY839\nTkPmj/j5haJnz3vQu/f9UKsjmi3uhmrOmm3R0f0we/a3OHNmE44f/y+KizPM2+rbl4KgQLt2g9C7\n9/3o3Hmk7LERETkTn/0ncl2CsTmXbCQiksV/APDBKCJyT9XVehw+nI7jxzOQkpKLa9duIC+vDOXl\n1TAYjPDyUiEw0BtRURp07hyCPn0iMWRIe4SG+jk7dCJyA5mZt6G62jUnNebm5uLYsWM4e/Ys0tLS\nkJeXh7KyMhgMBvj6+sLf3x/t2rVDXFwcbrnlFnTp0qVZ49PpdDh16hTOnj2LixcvIjs7GwUFBais\nrITBYICXlxf8/f0RHh6O2NhYeHsPQmjoCPj5hTZrnERERPbQakuRmroPGRnHkZf3G4qLM1BRUQi9\nXguFQgUPD1/4+7dBYGAs2rTphXbtBiIiooezwyYiIieLjgbGj3d2FERERET22gIgx9lBEFErkpFR\njF9+uYJff83CpUsFyMoqRnFxFbRaPZRKBXx9PRARoUZMTAB69IjALbdEo2/ftk55KDgzsybWEycy\ncelSPrKySlBaWgWdzgi12hMBAd7o3DkEPXpEYOjQ9ujVq02zxldaqsUvv1zByZOZOH8+D5mZxSgo\nKEdVlQ4KRc2+DA31RWxsEOLjwzFwYDskJkZBoeADnkTUvPLyBqG8/P/Yu5ceuc48v/P/E+ecuGQm\nk5m8JG+iKKlUck/XGOgG2h7PxgZs+A144Tc3m1n4LczChldjGJiBuzCbBgYuuEtuFSVSYpJ5Yd4z\nI8MLlVxVLIp5YUb8z+XzAbj/LqqEiHye5xeGAoA/9/d///fx61//On7zm9/E8+fPY3NzMw4PD2M2\nm8VwOIzbt2/HgwcP4vPPP4+//Mu/jL/5m7+J5WV3RN91cHAQf/u3fxt/93d/F7/97W/j+++/j93d\n3Tg5OYmqqmI8Hsf9+/fjyZMn8dVXX8Vf/dVfxS9/+cvsbKChZrMi/sN/+DQ7oxNOTvbj66//7/jd\n7/7f2Nz8Tezs/C6Oj/fi/Pw0hsNbMR6vxu3bn8Tjx38dT578TTx9+r8t/O8fXb0r9W/+TcQ915YB\ngE6aRcT/kR0BJNnbO4n/9J++jl//+tv4r//1VXz77W5sbR3Gyck0qurH8+GHD2/Fs2dr8Y//8cP4\nZ//s0/jVr5o3dAmXMZ2O4/nzf5GdAY3jTIgfFfHv/72/4wPdsr//Kr755v+J58//S/zww/8fh4dv\n4uhoJ87OjmM0Wo3x+HasrT2NR4/+Kh4//ut4+vSfRlG0/0fLb9psNovvvvv/4vnz/xLffvu3sbv7\nIo6OtuPoaCfKchjj8e1YWrobGxv/Szx+/Nfx6af/e9y6tdi7zwCL8uWXEf/yX2ZXAO9j4B9ooX8X\nEQfZEQAAjfPy5b+I4+NxdkYv/Of//CT29vykJQAA0F2ffx7xr/91dgUAwHX9XxHxbXYEAAAd9vr1\nP4m9vTvZGQAAXMJ0WsZ//I+fZGfAR/m3/zZibS27AgBgXv7PiDjJjgCAuTo/r+J3v/tX2RkAjeTv\n+AAAcLG/+IuIf/7PsyuA9/EzTUALGa0FAHifophmJ/TG0ZGv0wAAQLdVftMMAGg1H2YAAJivojjL\nTgAA4JJmsyI7AT6aM3wAoNuG2QEAMHeDgfNFgJ8zndpuAACAi7g3AM3lWy3QQpPsAACARhoMDPwv\nRhFnZ75OAwAA3eaQHwBoNx9mAACYL3c0AADa4/zcwD/tV9fZBQAA8zTKDgCAhRgMZtkJAI1k4B8A\nAC7m7T80l2+1QAuNswMAABqpKDweXwQHxAAAQB8YBwAA2s2NRQAA5mswOMtOAADgkmYzA/+0n4f6\nAEC3GfgHoB+K4jw7AaCR7DcAAMDF3BuA5vKtFmghA/8AAO8zGBj4XwQHxAAAQB845AcA2s2HGQAA\n5mswOM1OAADgkqZTA/+0W1n++A8AoLuG2QEAsBAG/gHe7+zMfgMAAFzE239oLt9qgRaaZAcAADRS\nURj4XwQHxAAAQB845AcA2s2HGQAA5qsoDPwDALTF+bmBf9ptPM4uAACYt1F2AAAsxGBg4B/gfU5P\n7TcAAMBFvP2H5vKtFmghtxIBAN5nMDjLTuiFs7MyOwEAAGDu6jq7AADgY7ixCADAfA0GBv4BANri\n/NwTStptMskuAACYNwP/APRDURj4B3ifszN/xwcAgIsY+Ifm8q0WaCED/wAA71MUBv4XwQExAADQ\nBw75AYB282EGAID5MvAPANAe5+dFdgJ8lLGndABA5w2zAwBgIQz8A7zf6an9BgAAuIi3/9BcvtUC\nLeRWIgDA+wwGBv4XwQExAADQB3WdXQAA8DHcWAQAYL6KwsA/AEBbTKcG/mm3ySS7AABg3kbZAQCw\nEIPBNDsBoJHsNwAAwMUM/ENz+VYLtJCBfwCA9zHwvxinp2V2AgAAwNwZCAAA2s2NRQAA5mswOMlO\nAADgkqZTTyhpN+f3AED3GfgHoB+K4jw7AaCRTk78HR8AAC4yHGYXAD/Ht1qghQz8AwC8T1GcZif0\nwuGhgX8AAKD7DAQAAO1m4B8AgPky8A8A0B7TaZGdAB9l7CkdANB5Bv4B6IfBYJqdANBIBv4BAOBi\n7g5Ac/lWC7SQTxYAAO8zGBj4XwQD/wAAQB845AcA2s3APwAA8+WOBgBAexj4p+0mk+wCAIB5W8oO\nAICFKAoD/wDvc3xsChEAAC7i7T80l2+1QAsNImKUHQEA0DhF4fH4IuzvG/gHAAC6rSgc8gMAbWfg\nHwCA+RsMzrMTAAC4BAP/tJ2BfwCg+wz8A9APBv4B3s9+AwAAfFhRRIxM8EJjGfgHWmo5OwAAoHEG\nAwP/i7C/bxgKAADoNuP+AED7+TsuAADzV5Zn2QkAAFzCdOoJJe3mDB8A6L5JmD4BoA8GA+eLAO+a\nzYo4OTHwDwAAHzIc/jjyDzSTUy6gpVayAwAAGmcwOM5O6LzptIzp1F+6AACAbptMsgsAAD6WgX8A\nAOavLE+zEwAAuAT3Pmk7Z/gAQD/40ANA9w0GzhcB3nV2ZtwfAAAuMh5nFwAfYuAfaCkD/wAA7xoM\nTmMwmGVndJoDYgAAoA+MAwAA7WfgHwCA+auq4+wEAAAu4ezMwD/t5qE+ANAPS9kBADB3ZXmUnQDQ\nOPYbAADgYu4NQLMZ+Ada6lZ2AABAI5XlWXZCp52eOiAGAAC6z8A/ANB+Bv4BAJi/sjTwDwDQBgb+\nabOqiqjr7AoAgEVwcRGA7hsMDPwDvOvkxH4DAABcZDTKLgA+xMA/0FIr2QEAAI1UlqfZCZ12fOyA\nGAAA6L7xOLsAAOBjubUIAMD8VdVhdgIAAJcwnXpCSXs5vwcA+mMpOwAA5q4snS8CvOvkpMpOAACA\nxnN3AJrN7TSgpW5lBwAANFJZnmQndNrxsQNiAACg+yaT7AIAgI9V/f4fAADMT1keZCcAAHAJp6dF\ndgJcm/N7AKA/DPwD0H0G/gH+3NFRmZ0AAACNZ+Afms3AP9BSK9kBAACNVJbH2QmddnjogBgAAOg+\nAwEAQDe4uQgAwHxV1X52AgAAl2AciDZzfg8A9IeBfwC6ryimMRicZ2cANIq/4QMAwMUM/EOzGfgH\nWmopIvxxDgDgXQb+58vAPwAA0AcGAgCAbnBzEQCA+SpLA/8AAG1wdOQJJe3lkT4A0B8G/gHoh7I8\ny04AaBQD/wAAcDF3B6DZ3E4DWmw5OwAAoHHK8jA7odP296vsBAAAgLkz8A8AdIObiwAAzNdgcBqD\nwXl2BgAAH3B+Pojz8yI7A65t2fM5AKA3DPwD0A8G/gH+1P6+gX8AALiIgX9oNgP/QIvdyg4AAGic\nsjzKTui03V0D/wAAQPc55AcAusGHGgAA5q8sT7MTAAD4gOnUMBDtdsvzOQCgN/yyEQD9MBg4XwT4\nYwcH/o4PAAAXGY2yC4APMfAPtNhKdgAAQOOU5X52QmednVVxfl5kZwAAAMzdZJJdAABwEwz8AwAw\nf1VlgAMAoMnOzjyfpN0M/AMA/bEU5k8A6AM/IA7wB7PZIE5PfQ8AAICLjD2Tg0bzzRZoMTcUAQDe\nVVUH2QmddXxcZScAAADMXVVF1HV2BQDATXBzEQCA+SvL4+wEAAA+wDAQbWfgHwDojyIiVrIjAGDu\nyvIkOwGgMU5Py+wEAABoBQP/0GxuqAEt5pAeAOBdRTGNwWCandFJh4cWLgEAgO5zwA8AdIcPNgAA\nzF9VHWUnAADwAWdnxoFor6KIWPF8DgDoldXsAACYu8HAD4gD/OTkpMpOAACAVhiNsguADzHwD7SY\nQ3oAgPcpy7PshE7a33dADAAAdN9kkl0AAHBTDPwDADB/ZWngHwCgyU5PPZ+kvZaXIwb+JwwA9Mqt\n7AAAmLuyNPAP8JOjI/sNAABwkeHQ3QFoOv8XBVpsLTsAAKCRDPzPx/5+nZ0AAAAwdwb+AYDuMPAP\nAMD8VdVBdgIAAB9wclJmJ8C13bJvCwD0jg9AAHRfWR5mJwA0xsGBgX8AALjI2BM5aDwD/0CLjcOD\nfACAP1dVx9kJnbS764AYAADovuXl7AIAgJviPgEAAPNXlnvZCQAAfMDxseeTtJeBfwCgf1azAwBg\n7gz8A/zB/r79BgAAuIiBf2g+N9SAllvLDgAAaJyyNPB/84p4+9YBMQAA0H0GAgCA7nB7EQCA+auq\n/ewEAAA+4Pi4zE6Aa3N+DwD0jw9AAHTfYGDgH+An9hsAAOBiy8vZBcBFDPwDLbeeHQAA0DgG/m/e\n6WkZ5+dFdgYAAMDcra5mFwAA3BQD/wAAzF9RTKMsp9kZAAD8jKMjA/+0l4F/AKB/fAACoPsGg7MY\nDGbZGQCNYOAfAAAutrKSXQBcxMA/0HIG/gEA3lWWh9kJnXN8XGcnAAAALISBAACgOwYR4W+7AADM\nX1meZScAAPAzjo48n6S9nN8DAP0zDuf8APTBYOB8EWA6LePszN/wAQDgIgb+ofl8uwVabi07AACg\ncQz837zDQ7/+DgAA9IOBAACgW8bZAQAA9EBVHWcnAADwMwz802bO7wGAfvIhCIDu8wPiABEnJ/Yb\nAADgMpaXswuAi7ihBrTcenYAAEDjVNV+dkLn7O/X2QkAAABzV9cRYxu4AECn+HADAMD8leVJdgIA\nAO8xmxVxdub5JO00GHikDwD01Wp2AADMXVmeZicApDs6MvAPAACXsbKSXQBcxA01oOWWI8LYKgDA\nHxsMDrMTOmdnx2dOAACg+27dyi4AALhpBv4BAJi/qjrKTgAA4D2m0zI7Aa5teTmiKLIrAAAyuMgI\nQPcZ+AeIODy03wAAAJdh4B+az8A/0AHr2QEAAI1SFLMoy2l2Rqe8eTPMTgAAAJg7A/8AQPdMsgMA\nAOiBstzPTgAA4D3OzjydpL2c3wMA/XU7OwAA5m4wOMlOAEi3v19lJwAAQOMNBhETz+Og8dxSAzpg\nLTsAAKBxyvI0O6EzTk+rODnx9RkAAOg+AwEAQPeMswMAAOiBut7OTgAA4D3OzsrsBLg25/cAQH+t\nZwcAwNyV5XF2AkC6vT0D/wAAcJHl5YiiyK4ALmKhEOgAB/UAAO+qqpPshM44OqqzEwAAABbCQAAA\n0D0G/gEAmL+63vV4BgCggU5PPZ2kvZzfAwD9tZYdAABzV5aH2QkA6XZ3DfwDAMBFlpezC4DLcEsN\n6AAH9QAA76qqo+yEztjbG2YnAAAALISBAACgewz8AwAwf0VxHlV1nJ0BAMA7Tk/L7AS4tvX17AIA\ngCyTcNYPQNdV1V52AkCq6bSMoyN/wwcAgIusrGQXAJdh4B/oADcWAQDe5XLHzdndrbMTAAAAFmJ1\nNbsAAOCmefQPAMBiDIeH2QkAALzj5MTTSdrrzp3sAgCATGvZAQAwV1W1m50AkOr42H4DAABchoF/\naAe31IAOWI2IYXYEAECj1PXb7ITO2NryWRMAAOiHW7eyCwAAbpqBfwAAFqOu97MTAAB4x8lJmZ0A\n11KWEaur2RUAAP0peVEAACAASURBVJnWswMAYK4Gg7Moy2l2BkCa/X0D/wAAcBkG/qEdDPwDHXEv\nOwAAoFHqeic7oRNmsyJ2d6vsDAAAgLkbjyNq92MBgM4x8A8AwGLU9W52AgAA7zg+9nSSdlpbiyiK\n7AoAgEwG/gHovqo6zk4ASLO35wETAABchoF/aAe31ICOuJ8dAADQKGV5GIPBeXZG6x0d1TGbeSED\nAAB0361b2QUAAPOwnB0AAEBP1PV2dgIAAO84Pi6zE+Ba1u3ZAgC9t5YdAABzV1Un2QkAaXZ2DPwD\nAMBlLHsaB61g4B/oCAP/AADvquvj7ITWOzwcZicAAAAshIF/AKCb6ojwd14AAOavrnejKGbZGQAA\n/JHDQ08naac7d7ILAACy+cUjALqvqg6zEwDSbG252wsAAJexspJdAFyGW2pAR9zLDgAAaJyqOspO\naL23b/36OwAA0A8G/gGA7nKTEQCAxajr4+wEAAD+yNFRmZ0A17JuzxYA6L3liDD4CUC3VdV+dgJA\nirOzMk5OTB8CAMBFqipiNMquAC7Dt1ygI1YjwqcPAIA/Vtcud3ys7W2XQQEAgH4w8A8AdJeBfwAA\nFqOuD7MTAAD4vfPzgYEgWsvAPwBARMRadgAAzJWBf6Cvjo7q7AQAAGiFFU/ioDXcUgM65H52AABA\no9T1XnZCyxWxuWngHwAA6IfV1ewCAIB5cZsRAIDFGA7d0wAAaIrT0zI7Aa6lqpzfAwD8yK8eAdBt\ndb2bnQCQ4uDAfgMAAFyGgX9oDwP/QIfcyw4AAGiUut7JTmi14+M6zs58bQYAAPrh1q3sAgCAeXGb\nEQCAxXBPAwCgOU5OquwEuJZ1O7YAAL/ngxEA3VaWB1EUs+wMgIV7+7bOTgAAgFZYXs4uAC7LUiHQ\nIfezAwAAGqWqdqMosiva6+3bUXYCAADAQpRlxOpqdgUAwLwY+AcAYDHqejs7AQCA3zs6MvBPOxn4\nBwD4yb3sAACYu6o6yU4AWLidHQP/AABwGbduZRcAl2XgH+gQA/8AAH+sKM5d7vgI29vD7AQAAICF\nWF8PPxAHAHSYgX8AABajqvZjMDjPzgAAIAz8014G/gEAfmLgH4Du8wYc6KOtLQP/AABwGWtr2QXA\nZRn4BzpkJSIm2REAAI1SVcfZCa316tUoOwEAAGAhDAQAAN1m4B8AgMWp66PsBAAAIuLgwMA/7XTn\nTnYBAEBTDCNiNTsCAObK2SLQN6enVZydmT0EAIDLuH07uwC4LN90gY65lx0AANAodX2QndBK02kZ\nu7t+/R0AAOgHAwEAQLctR0SRHQEAQE/U9WF2AgAAEbG3V2YnwLWsr2cXAAA0id0AALqtLL0BB/rl\n4GCUnQAAAK1h4B/aw8A/0DH3swMAABqlrvezE1rp8HCYnQAAALAwBgIAgG4r4seRfwAAmL+63stO\nAAAgIvb2quwEuLK6jlhZya4AAGgSA/8AdJs34EDf7O7acAAAgMtYWYmoXH2B1jDwD3TMg+wAAIBG\nqevd7IRW2t316+8AAEB/3LmTXQAAMG8WkQAAWIzh0D0NAIBss1kRR0dldgZc2fp6dgEAQNMY+Aeg\n26rqbXYCwEJtbRn4BwCAy1hbyy4ArsLAP9AxDyOiyI4AAGiMqtrOTmil168dDgMAAP0wHEas2LsF\nADrPBx4AABajrt9kJwAA9N7paZWdANdyz34tAMA7fEACoNsM/AN9s7lpwwEAAC7DwD+0i4F/oGPq\niLibHQEA0BhleRxlOc3OaJ3NzVF2AgAAwEKsr2cXAAAsgoF/AAAWoyyP3NMAAEh2cmLgn3a6fz+7\nAACgacbhvB+ALiuKaZTlWXYGwEKcnNRxemryEAAALuP27ewC4Cp82wU66HF2AABAo1TVSXZCq5yc\n1HFy4usyAADQD3fuZBcAACyCB/8AACxOXR9nJwAA9NrxsYF/2mljI7sAAKCJ7mUHAMBc1bU34EA/\n7O8PsxMAAKA11tayC4CrsFgIdNCj7AAAgEap68PshFZ5+3aUnQAAALAw6+vZBQAAi2DgHwCAxanr\n/ewEAIBeOzwssxPgyoZDD/QBAN7PwD8A3VZVR9kJAAuxu2vgHwAALsv9AWgXA/9ABz2MiCI7AgCg\nMTwcv5rXr8fZCQAAAAtz5052AQDAIhj4BwBgcUajrewEAIBeOzioshPgyu7diyg8hwMAeA8D/wB0\nW1UdZicALMSbN6PsBAAAaIWqilhezq4ArsLAP9BBo4iwSAQA8JO6fpud0CovXxr4BwAA+sPAPwDQ\nDwb+AQBYnNHoh+wEAIBe29838E/7bGxkFwAANNX97AAAmKuqOshOAFiAIt68qbMjAACgFdbWsguA\nqzLwD3TUo+wAAIDGqKqd7ITWODmp4/CwzM4AAABYiMkkYuw3zgCAXhj+/h8AAMxfVe1HVZ1lZwAA\n9NbenoF/2sfAPwDAz5lExK3sCACYm7rezU4AmLvj4zrOzswdAgDAZRj4h/bxjRfoKAP/AAA/qaq3\nURSz7IxW2N21bAkAAPTH+np2AQDAIq1kBwAA0COj0X52AgBAL81mRRwclNkZcGUG/gEAPuRhdgAA\nzE1db2UnAMzd/v4wOwEAAFrj9u3sAuCqDPwDHWXgHwDgJ0Uxi+HwKDujFTY3DfwDAAD9cedOdgEA\nwCIZ+AcAYHFGo+3sBACAXjo9Ne5P+ywvRywtZVcAADTZg+wAAJibophGXZ9kZwDM1c6OgX8AALis\ntbXsAuCqDPwDHTWOiPXsCACAxhiN3mYntMLLl6PsBAAAgIUx8A8A9IuBfwAAFmc02sxOAADopdPT\nKjsBrmxjI7sAAKDpHmYHAMBc1fVhdgLAXG1u2nAAAIDLun07uwC4KgP/QIc9yg4AAGiM4XA7O6Hx\njo6GcXxcZmcAAAAsjIF/AKBfDPwDALA4df06BoNZdgYAQO8cHxv4p30M/AMAXGQ9IobZEQAwN8Ph\nXnYCwNycnw/izRuf5wEA4LLW1rILgKsy8A90mIF/AICfDIevsxMab3d3nJ0AAACwUOvr2QUAAItk\n4B8AgMUpilkMhwfZGQAAvXN0ZOCf9rl/P7sAAKDpiojwq0gAdFdd72QnAMzN/v4oOwEAAFpjZSWi\ncvUFWsfAP9Bhj7MDAAAao653oyyn2RmNtrlp4B8AAOiPlZWIus6uAABYJAP/AAAs1mi0m50AANA7\nBwdldgJcSVEY+AcAuJyH2QEAMDfD4VZ2AsDc7OzYcAAAgMu6fTu7ALgOA/9Ah00i4l52BABAY9T1\nUXZCgxXx8qVffwcAAPrDQAAA0D9uOAIAsFij0evsBACA3tnfr7IT4ErW1yPqOrsCAKANDPwD0F1V\ntReDwXl2BsBcvHplwwEAAC5rbS27ALgOA/9Ax32aHQAA0Bij0W52QmMdHQ3j9NRXZAAAoD82NrIL\nAAAWbRIRHgkBALA4o9Gr7AQAgN7Z2zPwT7s4uwcAuKyNMI8CQJfV9XF2AsCNm82K2NwcZmcAAEBr\n3LmTXQBchxMsoOOeZgcAADTGcLidndBYW1vj7AQAAICFMhIAAPTT7ewAAAB6ZDA4McQBALBQRezv\nl9kRcCX372cXAAC0RRURlo0A6K7hcD87AeDGHR6O4vy8yM4AAIDWuHs3uwC4DgP/QMdtRISxVgCA\niIjRaDM7obFevJhkJwAAACzMYGAkAADoq7XsAAAAemY83stOAADojbOzMmYzQ0G0y4MH2QUAAG3y\nMDsAAOamrnezEwBu3M7OKDsBAABaoygi7vidW2glA/9AxxUR8Ul2BABAI5TlQZTlWXZG40ynZbx6\n5XAYAADoj/X1iKrKrgAAyLCeHQAAQM8Mh1vZCQAAvXF4WGcnwJWMxx7nAwBcjYF/ALprONzJTgC4\ncZub4+wEAABojbU17/+hrQz8Az3wNDsAAKAxRqOD7ITG2dmZZCcAAAAs1MZGdgEAQJa17AAAAHpm\nPP4hOwEAoDcM/NM2jx9nFwAAtM2j7AAAmJu6fpOdAHDDivjhh2F2BAAAtMa9e9kFwHUZ+Ad64GlE\nFNkRAACNMBzuZic0zqtXBv4BAIB+efAguwAAIIuBfwAAFquq3kZZTrMzAAB6YW/PwD/tYuAfAOCq\nJhFxJzsCAOZiMDiLqjrNzgC4MUdHwzg7M3EIAACXZeAf2su3X6AHxhFxPzsCAKARhsOt7ISGKeLb\nb8fZEQAAAAu1sZFdAACQ5Va4LgUAwKKNRvvZCQAAvbCzY+CfdjHwDwBwHU+yAwBgbobDw+wEgBuz\nszPKTgAAgFa5eze7ALguL1aBnvg0OwAAoBFGo83shEbZ3x/F6amvxgAAQH8MhxFra9kVAABZBhFx\nOzsCAICeGY22sxMAAHphe9vAP+2xtOTsHgDgegz8A9Bdde2Hw4HueP16nJ0AAACtcu9edgFwXVYM\ngZ54mh0AANAIg8FJ1PVpdkZjvH49yU4AAABYqI2N7AIAgGwWkwAAWKzR6HV2AgBA552dlXFy4qkk\n7fH4cXYBAEBbPQozKQB01XC4k50AcEOKePlylB0BAACtcetWxHCYXQFcl5MroCfuR4TxVgCAiIjh\ncD87oTG++85nRAAAoF8M/AMAGPgHAGCxhsPNKIpZdgYAQKcdH9fZCXAlBv4BAK6rjggXIQHoprre\nyk4AuBEHB6M4PTVvCAAAl3XvXnYB8DF8AwZ65Gl2AABAIwyHu9kJjXB6WsfOjgddAABAvxj4BwAw\n8A8AwGIVxXmMRofZGQAAnba/7z4o7fLkSXYBAECb+TAFQDfV9a4fDgc64c2bcXYCAAC0ioF/aDcD\n/0CPfJodAADQCMPhm+yERtjenmQnAAAALJyBfwAAA/8AACzeaLSbnQAA0Gl7ewb+aY9bt378BwDA\ndRn4B6C7hsPj7ASAj/b993YcAADgKu7ezS4APoaBf6BHnkZElR0BAJBuOHwdRZFdke/lSwfDAABA\nv6yuRozH2RUAANkM/AMAsHjj8ffZCQAAnfb2rYF/2uPx4+wCAIC224gI3wEA6Ka63s9OAPgo02kZ\nm5vD7AwAAGiVe/eyC4CPYeAf6JE6Ij7JjgAASDcYnEVdH2dnpJpOy3jxYpSdAQAAsFAbG9kFAABN\nUEfEcnYEAAA9Mxp9H4PBeXYGAEBnbW0Z96Q9DPwDAHysQUQ8yo4AgLkYDt9mJwB8lLdvx9kJAADQ\nKktLP/4D2svAP9Azn2cHAAA0wnC4n52QamtrErNZkZ0BAACwUAb+AQB+spYdAABAzxTFLCYTYxwA\nAPNwdlbG8XGZnQGXZuAfAOAm+FAFQDfV9U52AsBHef3awD8AAFzF3bvZBcDHMvAP9Myz8J8+AICI\n4bDfFzxevFjOTgAAAFg4A/8AAD8x8A8AwOKNx6+yEwAAOunkpM5OgEu7fTti2TVmAIAb8El2AADM\nxXD4OjsB4KN8990kOwEAAFrl3r3sAuBjWbkGemYYEU+yIwAA0o1Gm9kJaabTMl68GGVnAAAALFRZ\nOuAHAPgDA/8AACzeZPJtdgIAQCcdHBj4pz2eeNYGAHBD7kSEX04CoHsGg9MYDo+yMwCu5fi4joOD\nMjsDAABa5e7d7ALgYxn4B3roi+wAAIB0w+GbKMtpdkaKra1JzGZFdgYAAMBC3b0bMXAyCADwewb+\nAQBYvLI8iuHwMDsDAKBz9vYM/NMejx9nFwAAdMmn2QEAMBej0V52AsC17OxMshMAAKB17t3LLgA+\nlhkPoIc+C//5AwCIGI/7ecHjxYvl7AQAAICFe/gwuwAAoEkM/AMAkGMy2c5OAADonLdvDfzTHgb+\nAQBu0rPsAACYi9FoKzsB4Fq+/36cnQAAAK0yHEasrmZXAB/LwjXQQ6OIeJIdAQCQbjx+nZ2wcNNp\nGS9ejLIzAAAAFu6JP4sDAPyR5YgYZkcAANBDk8mL7AQAgM7Z2jLwTztsbESM7VsBANygJxFRZUcA\nwI0bDl9lJwBc2WxWGPgHAIAruncvuwC4CQb+gZ76RXYAAEC68fhldsLCbW1NYjYrsjMAAAAWajCI\nePQouwIAoGluZwcAANBDo9GrKMtpdgYAQGdMp2UcHpbZGXApz55lFwAAdE0ZP478A0C31PVbZ4pA\n6+zvj2M6teMAAABX8eBBdgFwEwz8Az31Wfx4aA8A0F9V9Taq6iw7Y6FevFjOTgAAAFi4jY2Iqsqu\nAABomrXsAAAAemo83s1OAADojJMTB6G0h4F/AIB5+DQ7AADmYjTaz04AuJIffljKTgAAgNYx8A/d\nYOAf6KlhRDzNjgAASNenR+PTaRkvXoyyMwAAABbuyZPsAgCAJjLwDwBAjsnkVXYCAEBnHBzU2Qlw\nKSsrEXfuZFcAAHSRX1ECoJtGo53sBIAref58kp0AAACt8/BhdgFwEwz8Az32RXYAAEC68XgzO2Fh\ntrcnMZsV2RkAAAALZ+AfAOB91rMDAADoqfH4u+wEAIDO2Nsz8E87PLM7CwAwJ0sRcS87AgBu3Gj0\nOjsB4NIODkZxeFhmZwAAQKvcuRMxHGZXADfBwD/QY59FRJUdAQCQajx+mZ2wMM+fL2cnAAAALFxV\nRWxsZFcAADTR3ewAAAB6qiyPYzQ6zM4AAOiE3V0D/7SDgX8AgHnyYQuA7hkON6MoZtkZAJfy+vVS\ndgIAALTOgwfZBcBNMfAP9FgVEV9kRwAApCrLw6jr4+yMuTs9reLly3F2BgAAwMI9ehQxcCIIAPAe\ntyJilB0BAEBPTSavsxMAADphe9vAP81X1xGPH2dXAAB02afZAQBw44piGsPhUXYGwKU8fz7JTgAA\ngNZ5+DC7ALgp5jyAnvtH2QEAAOkmk93shLl79WolOwEAACDFkyfZBQAATXYvOwAAgJ6aTF5kJwAA\ntN75+SAODqrsDLjQ06cRAy95AQDm6H5ELGVHAMCNG43eZicAXOjkpI7dXT/GCwAAV2XgH7rDtSCg\n5x5FxGp2BABAqvH4VXbC3H399XJ2AgAAQAoD/wAAH2LgHwCAHMPhmyjLs+wMAIBWOz42GEQ7fPpp\ndgEAQB/40AVA94xGW9kJABd688aPbQEAwFUtLUXcupVdAdwUA/8A8VV2AABAqtHoZRRFdsX8HByM\nY2+vys4AAABYuPE44u7d7AoAgCYz8A8AQJ7JZDc7AQCg1Q4PDfzTfEVh4B8AYDG+yA4AgBs3Gv2Q\nnQBwoe++m2QnAABA6zx8mF0A3CQD/wAG/gGAnhsMTmM4PMzOmJvvvlvOTgAAAEjx+HF2AQBA093P\nDgAAoMcmE4McAAAfY2dnmJ0AF3rwIGI8zq4AAOiDxxExyo4AgBtVlgdRVWfZGQA/6+ysjFevfA4H\nAICrMvAP3WLgHyBWIuJJdgQAQKrxeDs7YS5ms0H8wz8sZWcAAACkeOJP3wAAF1iNCCNgAADkGI+/\ni6LIrgAAaK83b4wG0XzPnmUXAAD0xSAiPs+OAIAbNxrtZScA/KztbTsOAABwHQb+oVsM/ANERMRX\n2QEAAKnG483shLnY2prE2ZmvvgAAQD8Z+AcAuIx72QEAAPTUYHAao9F+dgYAQCvNZkW8eVNnZ8CF\nDPwDACzSF9kBAHDjRqPt7ASAn/XixSQ7AQAAWqeuI+7eza4AbpKVQ4CIiPg8IobZEQAAaUaj76Mo\nZtkZN+7585XsBAAAgBQrKxGrq9kVAABtYOAfAIA8k8mb7AQAgFY6Ph7G+XmRnQEftLoasbaWXQEA\n0CePI2KcHQEAN2o02sxOAHiv8/NBvHzp8zcAAFzVxkZE4coLdIqBf4CIiKgi4ovsCACANEUxjdHo\nIDvjRp2dVfHihUNhAACgn548yS4AAGgLA/8AAOSZTJ5nJwAAtNLe3jA7AS707Fl2AQBA3wwi4rPs\nCAC4UXX9JgaDWXYGwJ/Z3l7yQ7wAAHANDx5kFwA3zcA/wP/0j7IDAABSjcdb2Qk36tWr5ewEAACA\nNAb+AQAuy8A/AAB56no3hsPD7AwAgNbZ2THwT/MZ+AcAyPBFdgAA3KiimDlPBBrp229tOQAAwHU8\nfJhdANw0A/8A/9ODiFjLjgAASDMe/5CdcKN++9uV7AQAAIA0jx9nFwAAtMVaRNTZEQAA9Njycrfu\nawAALMLr1wb+abalpYhHj7IrAAD66HFEjLMjAOBGjUY72QkAf2I6LePFi1F2BgAAtE5RRDx4kF0B\n3DQD/wB/4qvsAACANMPhZgwG59kZN+Lt20ns7VXZGQAAACnW138cCwAA4LLuZgcAANBjy8vfZCcA\nALTKbDaI7W0/2kmzffHFjw/zAQBYtEFEfJYdAQA3ajR6k50A8CfevFmO2cwfQAEA4Kru3ImoXXmB\nzjHwD/Anvgr/aQQA+qooZjEe72Vn3IhvvrmVnQAAAJDm6dPsAgCAtrmXHQAAQI+V5UGMx/vZGQAA\nrXF4ODQcRON9+WV2AQBAn32RHQAAN2o4fJWdAPAnfve7pewEAABopYcPswuAebBiDfAnlsKhPQDQ\nZ+PxVnbCRzs9reL580l2BgAAQJpnz7ILAADa5n52AAAAPbe8/DI7AQCgNfb2htkJ8EGrqxEbG9kV\nAAB99jgixtkRAHBjyvI4hsOj7AyAiPhxy+HVq1F2BgAAtJKBf+gmA/8Af+ZX2QEAAGkmk2+zEz7a\ny5e3shMAAADSjMcO9wEAru5edgAAAD23tPRNFMUsOwMAoBW2tw3802xffJFdAADQd4OI+Dw7AgBu\n1GSynZ0AEBERm5vL2QkAANBajx5lFwDzYOAf4M88CI/3AYC+qqq3MRweZ2dc22xWxG9/61AYAADo\nr08/jSiK7AoAgLZZi4gqOwIAgB4bDE5iMnmbnQEA0AqvXxv4p9m+/DK7AACAiF9mBwDAjRqPf8hO\nAIiIiG++seUAAADXcedOxNJSdgUwDwb+Ad7rf80OAABIs7T0Ojvh2ra3l+LoqMzOAAAASPPsWXYB\nAEAbFRFxNzsCAICeW15+kZ0AANB45+eD2N2tszPgZ62v//goHwCAbA8jYjU7AgBuzGj0fQwGs+wM\noOeOj4exve1v9AAAcB2ffJJdAMyLgX+A9/pFRIyzIwAAUkwm32YnXNvXX9/KTgAAAEhTlhFPn2ZX\nAAC01b3sAAAAem4y+V0MBufZGQAAjXZ4OMxOgA/68svsAgAA/uCX2QEAcGOK4jxGo/3sDKDnXr1a\nyk4AAIDWMvAP3WXgH+C9yoj4i+wIAIAUw+GbqKrT7IwrOzoaxqtXo+wMAACANE+eRFRVdgUAQFsZ\n+AcAIFdRTGMy2c7OAABotLdv3ROl2X7xi+wCAAD+4KvsAAC4UePx6+wEoOf+4R+WsxMAAKCVyjLi\n0aPsCmBeDPwD/Ky/jIgiOwIAIMXS0lZ2wpV9992t7AQAAIBUz55lFwAAtNn97AAAAIjl5W+zEwAA\nGm17e5idAD9rYyNidTW7AgCAP7gVERaTAOiOyeRldgLQY4eHo9jbq7IzAACglR49+nHkH+gmA/8A\nP2slIj7LjgAASLG09F12wpWcnw/i66+XsjMAAABSGfgHAPgYaxHhpiQAALnG4xdRltPsDACAxtrc\nNPBPc/3iF9kFAAD8ua+yAwDgxtT1dlTVWXYG0FMvXqxkJwAAQGt98kl2ATBPBv4BPuhX2QEAAClG\no+9b9WB8c3Mlzs58xQUAAPprYyNiye+eAQB8hEFE3M2OAACg54piFktLb7IzAAAaaTotY3+/ys6A\n9yoKA/8AAM30RUT4HgFAd4zHu9kJQA/NZkX89//u0RIAAFzXkyfZBcA8WT8E+KDHEXEnOwIAIMXS\n0nZ2wiUV8Zvf3MqOAAAASPXsWXYBAEAX3MsOAACAWF5+np0AANBIBwfD7AT4WY8eRSzZtwIAaKA6\nIj7LjgCAGzMev8pOAHpoa2s5Tk/NFQIAwHUsLUXcvZtdAcyTb8wAF/pVdgAAQIrJ5EV2wqVsbS3F\n/n6VnQEAAJDqs8+yCwAAuuB+dgAAAMRo9ENU1Wl2BgBA47x9O8pOgJ/15ZfZBQAA/LyvsgMA4MaM\nx+14+w10yzffrGQnAABAaz15kl0AzJuBf4AL/TIiXAIGAPpnPH4Rg8F5dsaF/tt/W81OAAAASLW6\nGrG+nl0BANAFD7MDAAAgIiKWlzezEwAAGmdra5idAO81GER8/nl2BfwP9u78S6rCzv//q5aurq0X\nGkVQkEVAdjUYTWIyyWSS+cx8vv/7zGTRxFEBZREQCYILS9P9/YGMnziibF31ruXxOCfHE6RvPX/I\n6VTVvfd1AYAf9lKSQXUEAGyJVutOOp3b1RnAHLl7dyFXrtjeAgCAp2XgH2afgX+AR2onOV4dAQAw\ndo3GRnq9m9UZP+rLL3u5ft0NWwAAwHzbt6+6AABgVqwk6VVHAABABoNPqhMAACbOtWuuF2Uy7dmT\nLNq3AgCYYI0kh6ojAGDL9Ho3qhOAOXLlyrA6AQAAptru3dUFwKgZ+Ad4LCfyYOgfAGC+9PtXqhN+\n1Nmzy9UJAAAA5fburS4AAJglO6sDAAAgCws30uncrs4AAJgY6+vt3L7dqs6Ahzp6tLoAAIBHO1wd\nAABbptu9Wp0AzI1GzpwZVEcAAMDUWltL+v3qCmDUDPwDPJZukiPVEQAAY9ftXkijsVmd8VB37nRy\n6VK3OgMAAKBUt5vstEELALCFdlUHAABAkmQw+Kw6AQBgYnz1Vac6AR5qMEj27KmuAADg0VaTvFgd\nAQBbYnHxSprNybz3G5gtN2/2PHwXAACewe7d1QXAOBj4B3hsp+LXJgAwb5rN9fR6t6ozHurjj5er\nEwAAAMq9/HLSaFRXAADMEk9PAgBgMvT7H1cnAABMjFu3FqsT4KFefdU5ewCA6XG0OgAAtkSjsZHF\nxS+rM4A5cOHCsDoBAACmmoF/mA+WqgEe2zDJweoIAICx6/U+q074nvX1ds6d61dnAAAAlNu7t7oA\nAGDWbE+yUB0BAABpt79Kt/t1dQYAwES4dq1TnQDf02gkR45UVwAA8Pj2J+lVRwDAluh2r1cnADNu\nfb2VCxe6cu4bUAAAIABJREFU1RkAADC1Wq1k587qCmAcDPwDPJHXkzSqIwAAxqrXO5/GhL0Funhx\nKZubExYFAAAwZq1WsmdPdQUAwKxpJHmhOgIAAJIkw+H56gQAgHKbm4189tlidQZ8z0svJcNhdQUA\nAI+vmeTV6ggA2BK93qfVCcCM++yzoT0HAAB4Bjt3Ju12dQUwDgb+AZ7IapJ91REAAGPVat3J4uJX\n1Rnf2tho5sMP3Q0DAACwZ48T+wAAo7GrOgAAAJIk/f4nabXuV2cAAJT6+uvFbGwYEWLyHD1aXQAA\nwJM7msTnCwCm38LCF2m316szgBl29qw9BwAAeBa7d1cXAONi4B/gib1eHQAAMHb9/rXqhG9dubKU\n9XUfZwEAAF55pboAAGBW7awOAACAJEmjsZHh8Ep1BgBAqS++6FYnwPf0esnevdUVAAA8uaUkVpUA\nmA3d7s3qBGBGffllN7dutaszAABgqhn4h/lhERHgiT2f5KXqCACAser1zlcnJEk2Npp5//2l6gwA\nAIBy7baxAACA0dkRl1UBADAplpY+SqNRXQEAUOezzxarE+B7Dh9Omr5GBgCYUseqAwBgS3S7n1Un\nADPqk0+WqxMAAGCq9fvJ9u3VFcC4uIQI4Km8UR0AADBW7fZXWVy8XZ2RK1eWcudOqzoDAACg3L59\nD0b+AQAYhVYejPwDAEC9Vuvr9HpfVGcAAJTY3Gzk6lUD/0yeI0eqCwAAeHovJxlWRwDAM+t2P61O\nAGbQvXvtnD/fq84AAICptndvdQEwTgb+AZ7Ki3EzPwAwb3q9a6Wvv7HRzPvvL5U2AAAATIqDB6sL\nAABm3c7qAAAA+NbS0ifVCQAAJb75ZjEbG43qDPiOF19MVlaqKwAAeHqNJJ7YBMD0a7XuZHHxm+oM\nYMZ8+qk9BwAAeFYG/mG+GPgHeGqvVwcAAIxVv3+h9PWvXFnKnTut0gYAAIBJsLiY7N5dXQEAMOsM\n/AMAMDm63UtZWLhbnQEAMHY3bnSrE+B7jtiCBQCYAUdibgWAWdDvX61OAGbI5mYjH300rM4AAICp\ntrCQvPRSdQUwTs44ATy1fUmeq44AABibhYUvsrh4u+S1Nzaa+etfl0teGwAAYNLs3580neUDABix\nnUka1REAAPCtpaVPqxMAAMbu2rXF6gT4jm73wTl7AACmXT/J3uoIAHhm/f6F6gRghly/Pszdu25Y\nAgCAZ7F7d9JqVVcA4+STNMAzebM6AABgrAaDmpvFL19ecjIYAADg7w4erC4AAJgHnSTbqiMAAOBb\ng8GZNJub1RkAAGOzudnI1asG/pkshw65ER8AYHacqA4AgGfWbn+ZTud2dQYwIz78cKk6AQAApt5e\nz5aFuWMdEeCZvJxkZ3UEAMDYDAbn0miM92bxjY1m3n9/eayvCQAAMKn6/WTXruoKAIB54Y0XAACT\no9m8m8HgenUGAMDYfPPNYu7fb1RnwHccOVJdAADA1tmV5PnqCAB4Zv3+teoEYAZ89VU3N24sVGcA\nAMBUazSSl1+urgDGzcA/wDP7aXUAAMDYNJt30+/fHOtrXrmylLt3fXwFAABIkldeeXByHwCAcdhZ\nHQAAAN8xHJ6pTgAAGJsvvlisToDveOGFZNu26goAALbWyeoAAHhm/f7F6gRgBnzyyVJ1AgAATL2d\nO5Nut7oCGDcLiQDPbFeS3dURAABjMxicH9trbWw089e/Lo/t9QAAACbdoUPVBQAA82RXdQAAAHxH\np3M9i4vfVGcAAIzFtWvueGayHD9eXQAAwNY7kGRQHQEAz2Rh4UYWFu5WZwBTbH29nfPne9UZAAAw\n9fburS4AKhj4B9gSb1UHAACMTbd7Ka3W+lhe68qVpdy966MrAABAkmzbljz3XHUFAMA86SfxEFoA\nACbL0tL56gQAgJHb3GzkypXF6gz41nCYHDhQXQEAwNZrJjlRHQEAz6zf/7w6AZhin366lM3NRnUG\nAABMvX37qguAClYSAbbEc0n2V0cAAIxFo7GZwWD0F3rcv9/KX/9qOAkAAOB/HDpUXQAAMI92VgcA\nAMB39Psfp9W6X50BADBS33yzmPv3jQkxOY4fT5ruxgUAmFFHkyxURwDAM+n3L1YnAFNqc7ORjz4a\nVGcAAMDUW1tLls2lwVxySRHAlnkziYuHAYD5MByeG/lrXLy4nLt3fWwFAABIkkbDwD8AQA0D/wAA\nTJZGYyPD4dXqDACAkfrii8XqBPjWwkJy9Gh1BQAAo9NJ8mp1BAA8k07n87Tb69UZwBT6/PNh7txp\nVWcAAMDU27+/ugCoYikRYMtsS3KwOgIAYCwWFm5kcfH2yI6/vt7O++8vjez4AAAA02bXrmQwqK4A\nAJhHu6oDAADge4bDj9JoVFcAAIzOtWvd6gT41quvJp1OdQUAAKN1IokvXQGYbv3+9eoEYOo08t//\nvVwdAQAAM8HAP8wvA/8AW+rN+NUKAMyLweDyyI595sxqNjZcFAkAAPA/Dh+uLgAAmFcrSXrVEQAA\n8B3t9lfp9W5WZwAAjEgjV69aU2cyNBrJiRPVFQAAjN5ykr3VEQDwTHq9S9UJwJS5caOfW7fa1RkA\nADD1lpeTtbXqCqCKFWqALbWU5Eh1BADAWAwGZ9NobG75cW/f7uTs2cGWHxcAAGBatdvJ/v3VFQAA\n82xndQAAAHzPcPhxdQIAwEh8800n6+tue2Qy7N374EZ8AADmwanqAAB4Jt3ulbRa96szgCnywQe+\n/AQAgK1gBwDmmyvdALbcT5J4MikAMPuazbvp9W5u+XE/+GDblh8TAABgmu3blywsVFcAAMyzl6oD\nAADge3q9S1lYuFudAQCw5W7c6FYnwLdO2XgFAJgjO5PsqI4AgGfS79+oTgCmxJdf9nL9eqc6AwAA\nZoKBf5hvBv4Btlw/ycnqCACAsRgOL2zp8b78spdLl9yYBQAA8I8OHaouAACYd3uqAwAA4KGGw0+r\nEwAAtty1a4vVCZAkef75ZOfO6goAAMbLE54AmG693qXqBGBKfPTRcnUCAADMhMEg2eHZsTDXDPwD\njMQbeTD0DwAw27rdi2m17m/Z8d57b3XLjgUAADALhsNk9+7qCgCAebeUZKU6AgAAvmc4PJNmc6M6\nAwBgCzVy9aqBfybDyZPVBQAAjN/+JO5vA2B6dbuXnT8EHumbbxZz+XK3OgMAAGbCvn3VBUA1A/8A\nI9FO8nZ1BADAyDUamxkMrm3Jsa5fH+Zvf+tsybEAAABmxdGjSaNRXQEAQLKnOgAAAL6n2byb4fCz\n6gwAgC3z9dedrK+75ZF6g0Fy4EB1BQAA49dI8kZ1BAA8tUZjI73eF9UZwIQ7d265OgEAAGbG/v3V\nBUA1V7sBjMyhJDuqIwAARm4w+PiZj7G52ch7761sQQ0AAMDsaDaTV1+trgAA4IHd1QEAAPBQy8vv\np9HYrM4AANgSN292qxMgSXL8+INz9gAAzKODSQyeAjC9+v3L1QnABLt7dyGffNKvzgAAgJnQ6yW7\ndlVXANVcYgQwUr+oDgAAGLlO52/pdL55pmNcubKcr75qb1ERAADAbNi7N+m7ZhYAYEK8mKRVHQEA\nAN/Tan2T4fB6dQYAwJa4dm2xOgHSbifHjlVXAABQp5Hk9eoIAHhqvd7FNJseEA483PnzHmYFAABb\n5ZVXkkajugKoZuAfYKR2JDlYHQEAMHLD4ZWn/tn791t57z0nggEAAP63o0erCwAA+H/aSXZWRwAA\nwEMtL79fnQAA8Mw2Nxu5csXAP/VefTXpdKorAACodTjJsDoCAJ5Ko3E/3e7N6gxgAq2vt3PmzKA6\nAwAAZsahQ9UFwCQw8A8wcm/nwY3+AACzq98/l0Zj86l+9syZbbl3z8dTAACAf7S8nOzeXV0BAMB3\n7akOAACAh2q3b2UwuFGdAQDwTL7+ejHr664npVajkZw8WV0BAEC9ZpJT1REA8NT6/cvVCcAEunhx\nKRsbjeoMAACYCSsryfPPV1cAk8AVbwAjN0jyenUEAMBItVp30uvdfOKf+/rrrqe8AwAAPMTRo9UF\nAAB8nycwAQAwuZaXP6hOAAB4Jteu9aoTIPv2JcvL1RUAAEyGo0l8TgFgOvV6F9NobFZnABPk/v1W\nPvxwWJ0BAAAz4+DB6gJgUhj4BxiLU0l8wQkAzLbh8OIT/8y7724bQQkAAMB0azaTV1+trgAA4PvW\nknhoLQAAk6nTuZ5e71Z1BgDAU7t0yXAm9U6fri4AAGBytPJgIwAApk+zeS+93s3qDGCCXLiwnPV1\nk4MAALBVDh2qLgAmhU/bAGPRTvJ2dQQAwEh1uxfSat1/7L//2WdLuX69M8IiAACA6XTgQNLtVlcA\nAPBwu6sDAADgB62sfFSdAADwVO7eXcjNmwvVGcy5ffuStbXqCgAAJsuxJC7oBGA6DYcXqxOACbG+\n3soHHyxVZwAAwMzYsSNZXq6uACaFgX+AsXklyc7qCACAkWk0NjMcXn2sv3v/fit//vPqiIsAAACm\n09Gj1QUAAPywPdUBAADwgxYXr6Tb/bo6AwDgiX3xRa86AXL6dHUBAACTZyHJieoIAHgq3e7FtFr3\nqzOACXDhwkru329UZwAAwMw4eLC6AJgkBv4BxuoXSXzZCQDMrqWlD9N4jLc7586t5u5dH0kBAAD+\nt9XVZNeu6goAAH7YS3HeHwCASba8fKY6AQDgiV2+3K1OYM7t3Zts315dAQDAZDqRpFMdAQBPrNHY\nyGBwvToDKLa+3s4HHwyrMwAAYGY0m8krr1RXAJPEmiLAWD2X5Fh1BADAyLRaX6ffv/Gjf+f27cV8\n+KGTwAAAAA9z9Gh1AQAAP24xyY7qCAAA+EG93sUsLt6uzgAAeGybm00D/5Q7fbq6AACAydVJ8lp1\nBAA8lcHg4+oEoNgnn6xkY6NRnQEAADPjpZeSXq+6ApgkBv4Bxu6tJIPqCACAkVlaOvej//7dd9fG\nEwIAADBlWq3k8OHqCgAAHm13dQAAAPyolZWPqhMAAB7brVtd40KUevnl5LnnqisAAJhsJ5NYbAJg\n+nQ6n2dh4U51BlDk3r12PvrIzhUAAGylgwerC4BJY+AfYOwWkrxTHQEAMDKLi1fS6Tz8Yo/PPx/m\n2rXOmIsAAACmwyuvJIuL1RUAADzanuoAAAD4Ub3ehXQ6t6szAAAey7VrRjKpdfp0dQEAAJOvneSN\n6ggAeCrD4dXqBKDIJ5+seMAuAABsoXY72bevugKYNAb+AUrs+/t/AABm09LSxe/92f37rfz5z6sF\nNQAAANPh6NHqAgAAHs/zSbrVEQAA8KNWV89UJwAAPJaLFw38U2fPnuT556srAACYDseSLFVHAMAT\nGwzOVicABe7dW8hHHw2qMwAAYKbs25csLFRXAJPGwD9AmXeSeHcGAMymweBMWq373/mzs2dXc/t2\nq6gIAABgsq2tJS+8UF0BAMDjaSR5qToCAAB+VK93Pp3OneoMAIAfdft2J19/7dpS6pw+XV0AAMD0\naCbxBhKA6dNqfZNe78vqDGDMzp1bzuZmozoDAABmysGD1QXAJDLwD1BmkOSn1REAACPRaNzPYHDt\n2//+1VfdfPTRsLAIAABgsh07Vl0AAMCT2VMdAAAAj7SycqY6AQDgR9240atOYI7t3p3s2FFdAQDA\ndDmUZFt1BAA8scHgYnUCMEZ37y7k7NlBdQYAAMyUbvfBdQYA/5uBf4BSx5O4EhQAmE1LSx8mSTY3\nG/nDH7YX1wAAAEyudjs5eLC6AgCAJ+OKTAAAJl+//0k6nTvVGQAAP+jyZQP/1Dl9uroAAIDp00jy\nZnUEADyxfv98ms2N6gxgTM6eXcnmZqM6AwAAZsqBA0nTijfwEH41AJRqJPlV/DoGAGZRu/1l+v2b\nuXBhNbdutatzAAAAJtarryadTnUFAABPpp9krToCAAAeaWXlbHUCAMBD3b/fytWrTpRS46WXkhde\nqK4AAGA67U/yfHUEADyRRuN++v2/VWcAY3D79mLOnRtUZwAAwMw5dKi6AJhUFqUBym1PcrI6AgBg\nJDqda/nLX5aqMwAAACZWo5GcOlVdAQDA09lTHQAAAI/U73+cTudOdQYAwPfcutXN5majOoM5dfp0\ndQEAANPtp9UBAPDEhsPz1QnAGLz//mp1AgAAzJzl5eSFF6orgEll4B9gIpxOYvgWAJg1zaysnMra\nmpuvAAAAfsj+/cmSr4cBAKaUgX8AAKbDysq56gQAgO/57LNedQJz6sUXk507qysAAJhuu5O8WB0B\nAE9kcfFKFhbuVWcAI3TzZj+XL3erMwAAYOYcPFhdAEwyA/8AE6Gd5JfVEQAAW+z1JNtz8mR1BwAA\nwOQ6daq6AACAp7czD873AwDAZOv3z2Vx8XZ1BgDAd1y8aGSIGm++WV0AAMBseKs6AACe2GDwWXUC\nMDKNvPfeanUEAADMpMOHqwuASWbgH2Bi7ElyqDoCAGCLbEvykyQPnj7Z79fWAAAATKJdu5IdO6or\nAAB4es0ku6sjAADgsayuvl+dAADwra+/XsydO63qDObQvn3Jzp3VFQAAzIYdSQ5URwDAExkMzlYn\nACNy7dowX3yxUJ0BAAAz56WXkuXl6gpgkhn4B5go7yQZVEcAADyjRpJf538+cjabybFjpUEAAAAT\n6dSp6gIAAJ7dvuoAAAB4LN3u5fT7N6szAACSJH/7W686gTnUbCZvvVVdAQDAbHk7iYeXATA92u0v\n0+1+XZ0BbLGNjWbefXelOgMAAGbS0aPVBcCkM/APMFE6eTCGCwAwzU4m2fGdPzl2LGm5VhEAAOBb\nq6vJ3r3VFQAAPLu9cQkWAADTYnX13TQa1RUAAMmnnxr4Z/yOHHlwrh4AALbOUpLj1REA8EQGg0+r\nE4AtdunScm7fNuYAAABbrddL9u2rrgAmnbtLASbO7iTHqiMAAJ7SapI3v/en3W5y6ND4awAAACbV\nqVPVBQAAbI3FJDurIwAA4LEsLNzM0tJn1RkAwJxbX2/l88871RnMmYWF5PTp6goAAGbTT5J0qyMA\n4LH1+x+n0diszgC2yPp6O++/v1SdAQAAM+nw4aRpuRt4BL8mACbSz5KsVEcAADyhZpLfJmk/9N+e\nPDnWGAAAgInV73sIGgDAbNlXHQAAAI9tefndNJsb1RkAwBy7ebNXncAcOnUq6fmfHgAAI9HJg5F/\nAJgOzea99PtfVGcAW+Tjj1eyvm5KEAAARuHo0eoCYBr4VA4wkdpJ/jlJozoEAOAJnE7y3A/+223b\nkt27x1cDAAAwqY4fT1qt6goAALbOvuoAAAB4bK3WnaysXKzOAADm2NWrVtYZr34/ee216goAAGbb\nsSSr1REA8NgGg/PVCcAWuHOnk48+GlRnAADATHrppWR5uboCmAYG/gEm1o4kr1dHAAA8pp15nPcu\np06NvgQAAGCStdvJsWPVFQAAbK1hfuwBuAAAMGmWlv6advtedQYAMJcauXSpWx3BnDl9+sG5egAA\nGJ1mkp9XRwDAY+t2P027vV6dATyj//7v1WxuNqozAABgJh09Wl0ATAsD/wAT7XSS7dURAACP0Eny\nz0keffJ39+7k+edHHgQAADCxjhxJFherKwAA2Hr7qwMAAOCxNRobWV09U50BAMyhL7/s5t49tzQy\nPqurD87TAwDA6O1J8nJ1BAA8lkZjM8Ph5eoM4BncvNnPpUu96gwAAJhJvV6yb191BTAtXA0HMNGa\neTCW26oOAQD4Eb9IsvTYf/uNN0ZXAgAAMMkajeTkyeoKAABGY191AAAAPJHB4FwWF29XZwAAc+bq\n1X51AnPm7bcfnKsHAIDx+FnMuAAwLYbDj9JobFZnAE9hc7ORP/95W3UGAADMrMOHk6aveoHH5NcF\nwMRbS/JmdQQAwA84kOTwE/3Evn3J2tpIYgAAACba/v3J0uM/Hw0AgKmyLclKdQQAADyRbdv+Wp0A\nAMyVRj75pFcdwRzZtSvZu7e6AgCA+bKa5Hh1BAA8llbrdvr9G9UZwFO4fHk5t261qzMAAGBmHT1a\nXQBMEwP/AFPhVJKd1REAAP9LP8mvnuonf/KTrS0BAACYBq+9Vl0AAMBo7asOAACAJ7K4eCX9/hfV\nGQDAnLh1q5s7d1rVGcyRt9+uLgAAYD6dTtKtjgCAx7K0dLY6AXhC6+vtvPfecnUGAADMrBdfTJa9\n5QaegIF/gKnQSPLPSRaqQwAA/sFvkiw+1U/u35+srm5pDAAAwETbtSt5/vnqCgAARmt/dQAAADyx\n1dX30mhUVwAA8+Dq1X51AnPkwIFkx47qCgAA5lMnyc+qIwDgsSwufpZO55vqDOAJfPTRatbXTQcC\nAMCoHDtWXQBMG5/SAabGUpJfVUcAAPzdiSS7n/qnG43kjTe2rgYAAGDSvfZadQEAAKO3I4mRMgAA\npsvCws0sLX1WnQEAzLxGPvnEd2eMR7OZvPVWdQUAAPPtcJKd1REA8FiWli5WJwCP6euvuzl3blCd\nAQAAM6vXS/btq64Apo2Bf4CpcjDJkeoIAGDurSV5+5mPcvBgsrz87DUAAACTbnU1efnl6goAAMZj\nf3UAAAA8seXld9NsblRnAAAz7Msvu7l7162MjMexY65RBgBgEvwqJl0AmAaDwbm0WverM4BHauRP\nf1qrjgAAgJl2+HDS9LUu8IT82gCYOr9Isq06AgCYW60kv/37P59No5G8/vozHwYAAGDi/eQn1QUA\nAIzPgeoAAAB4Yq3WnaysXKjOAABm2JUr/eoE5kS3m5w+XV0BAADJgz2AE9URAPBIjcb9DAbXqjOA\nR7hyZSk3bixUZwAAwEw7erS6AJhGBv4Bpk47ye/+/k8AgHF7J8nWPdn98OFkONyywwEAAEycbduS\nV16prgAAYHx2JjFWBgDA9Flaej/t9r3qDABgJjXyySe+M2M83n47WVysrgAAgP/xZhI3zwEw+ZaW\nPqxOAH7E+no7f/7zSnUGAADMtBdfTJaXqyuAaWTgH2AqbUvyi+oIAGDuHE5yZEuP2Gwmr722pYcE\nAACYKKdPJ41GdQUAAOPTSLKvOgIAAJ5Yo7GR1dUz1RkAwAy6daubu3fdxsjovfBC8uqr1RUAAPCP\n2kl+Xh0BAI/Ubn+Zfv9mdQbwAz76aFvW133PDgAAo3T0aHUBMK18YgeYWkeSHKyOAADmxlqSX47k\nyEeOJP3+SA4NAABQam0tOXCgugIAgPHzJhAAgOk0GJzL4uI31RkAwIy5csVFooxeo5H8cjSXOgMA\nwDPan+Tl6ggAeKTh8OPqBOAhvvqqm3PnfM8OAACj1Osl+/dXVwDTysA/wFT7VZLV6ggAYOZ1kvw+\nSXskR2+1klOnRnJoAACAUqdPVxcAAFBjV5JedQQAADyVbdv+Wp0AAMyQzc1Gzp83PMToHT+ebN9e\nXQEAAD/knYzq3jwA2Cq93qUsLNytzgD+weZmI3/841p1BgAAzLzjx5OmhW7gKfn1ATDVFjLKsV0A\ngAf+KcnKSF/h2LGk2x3pSwAAAIzVc88l+/dXVwAAUKORZF91BAAAPJXFxasZDq9VZwAAM+LWrW7u\n3nULI6PV7ydvvlldAQAAP2YpyevVEQDwSEtLl6oTgH9w4cJqbt5cqM4AAICZ1mo92D8DeFqujgOY\netuS/LI6AgCYWSeSHBj5q7TbycmTI38ZAACAsTl9uroAAIBanvYEAMD02rbtT2m17ldnAAAz4MqV\nQXUCc+Dtt5NOp7oCAAAe5fUkK9URAPCjBoMzaTY3qjOAJHfudPKXvyxVZwAAwMw7dCjpdqsrgGlm\n4B9gJhxO8mp1BAAwc3Yk+dnYXu34cTfXAAAAs+H555O9e6srAACo9WISV3cCADCdms272bbtw+oM\nAGDKbW42cv58rzqDGbdr14Ob7QEAYPI1k/yqOgIAflSzeS+DwefVGUAa+dOftmdzs1EdAgAAM+/k\nyeoCYNoZ+AeYGe8k2V4dAQDMjG6S32WcHxs7neTEibG9HAAAwMicPl1dAABAvWaSfdURAADw1AaD\nc+n1blVnAABT7NatXu7dc/sio9NsJu+8U10BAABP4sUkR6sjAOBHLS2dqU6AuXflylI+/7xTnQEA\nADNvz55k27bqCmDauUIOYGa0k/yfPBjjBQB4Fo0kv00yHPsrnzyZLCyM/WUBAAC2zI4dycsvV1cA\nADAZ9lcHAADAM1lb+2Oazc3qDABgSl2+3K9OYMadOJGsrVVXAADAk3o7FfftAcDjWli4kW73q+oM\nmFv37i3kT39arc4AAIC5cPJkdQEwCwz8A8yUYZLfx693AODZvJFkd8krLy4+uNkGAABgWr35ZnUB\nAACT46Uk3eoIAAB4au32l1lZ+aQ6AwCYQpubjVy40KvOYIb1+8np09UVAADwNDpJflUdAQA/amnp\nfHUCzK333lvL/fuN6gwAAJh5a2vJ7pqZNWDGWIAGmDm7kvyiOgIAmFp7ktTe7fLaa0nX3hEAADCF\ndu50Ih8AgH/UTPJKdQQAADyTpaX30+ncrs4AAKbMrVu93Lvn1kVG5+c/TxYWqisAAOBp7UlyuDoC\nAH5Qr/dJ2u316gyYO59/vpTLlw0tAADAOJw8WV0AzApXyQHMpGNJjlZHAABTZzXJvySpfaJ7p5O8\n/nppAgAAwFM5Xfu8NAAAJpIb8gEAmG6Nxma2b/9zGrWXkwAAU+by5X51AjPsxReTVzxbFQCAqffz\nJD47ATCZGo3NDIeXqzNgrqyvt/LHP65WZwAAwFzo9ZKDB6srgFlh4B9gZr2TZGd1BAAwNbpJ/i1J\npzokSXL8eDIcVlcAAAA8vl27kpdeqq4AAGDyPJ8HD9gFAIDp1el8nqUlAx4AwOPZ3Gzk/PledQYz\nqtlMfvnL6goAANgKi0m8uQVgcg2HH6XR2KzOgLnxwQdruXvXJCAAAIzDsWNJq1VdAcwKn+YBZlYz\nye+TWMYFAB6lmeR3SZarQ77VaiU//Wl1BQAAwON7883qAgAAJteh6gAAAHhmKyvvpt2+V50BAEyB\nmzcS+yUVAAAgAElEQVR7WV932yKj8frryapnqgIAMDP2JTlQHQEAD9Vq3c5weL06A+bCF1/088kn\n/eoMAACYC61Wcvx4dQUwS1wpBzDTekn+NUm7OgQAmGjvJHmxOuJ7Dh5Mtm+vrgAAAHi0F19Mdu2q\nrgAAYHIZ+AcAYPo1m+tZW3u/OgMAmAKXLxshYjTW1pKf/KS6AgAAttovk3SrIwDgoZaW/rs6AWbe\n/fut/OEPa9UZAAAwNw4dSrq+kgW2kIF/gJn3XJJ/qo4AACbW8SRHqyMeqtFI3nqrugIAAODR3nyz\nugAAgMk2zCQ+aBcAAJ5Ur3cxg8GN6gwAYIJtbjZy4UKvOoMZ1Ggkv/510nRHLAAAM6eb5BfVEQDw\nUAsLN50fhBH74IO1fPNNqzoDAADmxsmT1QXArHE5E8BcOJjkteoIAGDi7M6kX/y3Z0/yos0jAABg\ngu3Zk+zcWV0BAMDkO1QdAAAAW2Lbtj+k1bpfnQEATKibN3tZX3fLIlvvtdeS55+vrgAAgFE5mGRf\ndQQAPNTy8gfVCTCzrl8f5uOP+9UZAAAwN3bvTrZtq64AZo2r5QDmxltJ9lRHAAATYyXJ75I0qkMe\n6e23qwsAAAAertFIfvaz6goAAKbDgSTt6ggAAHhmrdbtrK6eq84AACbUpUuD6gRm0LZtyenT1RUA\nADBqv0rSq44AgO/pdK6n17tVnQEzZ329nf/6L8uiAAAwTqdOVRcAs8jAP8DcaCT5lyRr1SEAQLnF\nJP+WpFMd8liefz45cKC6AgAA4PuOHn0wJAAAAI+2kGRfdQQAAGyJ4fDDdLtfV2cAABPm/v1WLlww\nRsnWajSSX/86abWqSwAAYNR6SX5dHQEAD7Wy8mF1Asycd9/dnnv3TAACAMC4rK0lu3dXVwCzyKd7\ngLnSSfLvSQbVIQBAmWaS3yVZqQ55Im+9lTR9ggUAACZIp5O8+WZ1BQAA0+VQdQAAAGyZtbU/pNHY\nrM4AACbItWuDbGw0qjOYMadOJTt2VFcAAMC4vJzkaHUEAHzP4uJVDwCHLXT58nIuX+5WZwAAwFw5\ncaK6AJhV5hEB5s4gD0b+O9UhAECJnyd5qTriiS0vJ0eOVFcAAAD8P6+/nnRdSwsAwBPZnaRfHQEA\nAFtiYeFmVlYuVmcAABPk3LlhdQIzZnU1efPN6goAABi3nydZrY4AgO9ZXj5TnQAz4c6dTv70J+/3\nAABgnHq95NCh6gpgVhn4B5hLa0n+Nf5vAADmzWtJjldHPLXTp5OFheoKAACAZGkpOXmyugIAgOnT\nSHKwOgIAALbM8vJfsrBwpzoDAJgAt28v5sYNF3mydRqN5Ne/Tlqt6hIAABi3dpLfxg4AAJOm17uY\nTse5QXgWm5uN/PGP27Ox0ahOAQCAufLaa64/AEbHGR2AufVikl9XRwAAY3M4ydvVEc+k1zOgCQAA\nTIa33nISHwCAp3WoOgAAALZMo7GR7dvfq84AACbApUuD6gRmzIkTyQsvVFcAAECV55Kcro4AgO9Z\nWTlXnQBT7cKF1Vy/3qnOAACAudLtJseOVVcAs8zAP8BcO5TkreoIAGDk9iT5p+qILfHaaw+G/gEA\nAKq88ELyyivVFQAATK/tSdaqIwAAYMssLl7Nysqn1RkAQKHNzUY+/tjAP1tneTn56U+rKwAAoNrr\nSXZWRwDAd/T757KwcLc6A6bS119385e/LFVnAADA3Dl1Kmm3qyuAWWbgH2DuvZ7EI6UAYHY9n+T3\nmZWPfwsLyRtvVFcAAADz7Oc/ry4AAGD6Ha4OAACALbWy8ucsLt6uzgAAinzxRT93787GdapMht/8\nxs31AACQNJL8c5JOdQgAfMfy8vnqBJg6GxvN/Nd/bc/mZqM6BQAA5sriYnL8eHUFMOtcOQdAkneS\n7K2OAAC23EqSf08yW3e4HDuWLC9XVwAAAPPolVeSHTuqKwAAmH4H8+BGfAAAmA2Nxka2b//PNJub\n1SkAQIHz54fVCcyQEyeSnTurKwAAYFIsJflFdQQAfMdgcCbt9np1BkyVDz9cy61bs7X5AAAA0+Dk\nyWRhoboCmHUG/gHIg+GAf0limQoAZkc/yf9N0q0O2XLNZvLTn1ZXAAAA86bVSt5+u7oCAIDZ0E/y\nUnUEAABsqYWFm9m27Ux1BgAwZuvr7Vy6NHvXqlJjeTl5663qCgAAmDSHkxyojgCAbzUaG1laulid\nAVPj+vVhzp4dVGcAAMDc6XSSEyeqK4B5YOAfgL9rJ/m3JMvVIQDAM+sk+fckS9UhI/PKK8muXdUV\nAADAPDl5MhkOqysAAJgdh6sDAABgyw2HH2Yw+KI6AwAYo6tXnURlazQayW9+k7Tb1SUAADCJ/imz\nfK8gANNnOPwwrdb96gyYeHfuLOQ//3NbdQYAAMylEycejPwDjJqBfwD+QTfJ/03Srw4BAJ5aM8m/\nJtleHTJy77yTNH2qBQAAxqDXS15/vboCAIDZsi/JQnUEAABsubW1/0i7vV6dAQCMydmzg+oEZsRP\nfpLs3FldAQAAk6qT5HcxEQPApGg217O0dLk6Ayba5mYj//Vfz2d93Xs4AAAYt4WF5OTJ6gpgXvjk\nD8D/spzk/8uDsX8AYPr8c5IXqyPGYm0tOXasugIAAJgHp08nnU51BQAAs6WdZH91BAAAbLlm8262\nb3+3OgMAGIOvvurmyy/b1RnMgJ07Hwz8AwAAP+b5JD+rjgCAby0t/XeazY3qDJhYZ86s5caNheoM\nAACYS8ePJ4uL1RXAvDDwD8BDbEvyf5NYrAKA6fKLJK9UR4zVm28mvV51BQAAMMu2bUuOHq2uAABg\nNh2uDgAAgJHodi9nZeXT6gwAYMQuXRpWJzADOp3kt79NGo3qEgAAmAYnkuyvjgCAJA8e/D0cflad\nARPpb38b5MMPfYcOAAAV2u3k1KnqCmCeGPgH4Ac8l+Tfk7SrQwCAx/LTPLhAb750Osnbb1dXAAAA\ns+xnPzMkAADAqLyYxA1cAADMppWVP2dx8XZ1BgAwIhsbzXz8cb86gxnwT/+UDH1NCgAAT+DXSZar\nIwAgSbK8/H4ajc3qDJgod+8u5D/+Y606AwAA5taxY0m3W10BzBMD/wD8iBeS/FuSVnUIAPCjfpLk\njeqIMocPJy+8UF0BAADMot27kz17qisAAJhth6oDAABgJBqNjWzf/p9pNg16AMAs+tvfBrl/35PS\neTZHjiQHDlRXAADAtOkk+V3c/w/AJGi1vslw+Hl1BkyMzc1G/vCH57K+btoPAAAqtNvJqVPVFcC8\n8S0AAI/wYpLfx/9lAMCkej3Jm9UR5X75y6ThPjEAAGALNZvJz39eXQEAwOx7tToAAABGZmHhZrZt\nO1OdAQCMwMcfD6oTmHKrq8kvflFdAQAA0+q5JC5yBWAyLC+/7x5v+LuzZ9dy/XqnOgMAAObWkSNJ\nv19dAcwba80APIaXk/w2iTMqADBZTiZ5qzpiImzfnhw9Wl0BAADMkpMnk23bqisAAJh9y0l2V0cA\nAMDIDIcfZjD4ojoDANhCd+4s5LPPFqszmGKtVvIv/5K029UlAAAwzY4lOVAdAQBpt7/McPh5dQaU\nu3FjkA8+GFZnAADA3Gq1ktdfr64A5pGBfwAe04Ekv6mOAAC+dTzJz6sjJspPf5p0u9UVAADALFha\nSk6frq4AAGB+HKsOAACAkVpb+4+02+vVGQDAFrlyxUARz+btt5Pt26srAABgFvw6yXJ1BABkZeW9\nNBqb1RlQ5u7dhfzHf6xVZwAAwFx79dWk36+uAOaRgX8AnsChJL+sjgAAciTJO9URE2dxMXnrreoK\nAABgFrzzTtJuV1cAADA/9iYxigYAwOxqNu9m+/Z3qzMAgC3RyNmzg+oIptjLLycnTlRXAADArFhI\n8vskreoQAOZcq/V1lpauVmdAiY2NZv7zP/9/9u70ye7yTvP0fXLf99SGAAFGSEIgIYTYQWwCjG1c\ntnv7B2e6YyY6oipmqqu7Zqrsbu9stsBgBAKBMAK0ILCEtlz6xanFZbNoyczvWa4rgsi3nxeEMs/5\nPc/9m8+lS+b8AACgSk9Psnt3dQXQrXwjAMAV2pHkvuoIAOhiW5M8Uh3RsrZtS9atq64AAADa2U03\nNQcFAABg7TTSfLkvAAB0rqGhjzI5eaw6AwC4Rp9/Ppzz5w1HcnVGRpL9+6srAACg08wmebg6AgAy\nMfFGenqWqjNgzR06NJvTp/urMwAAoKtt3ZqMjVVXAN3KwD8AV+HOJPdWRwBAF/pWkkerI1regw8m\njUZ1BQAA0I76+5MHHqiuAACgO22Lo1wAAHS6ycnXMjh4vjoDALgGf/jDaHUCbWz//mRoqLoCAAA6\n0dYkO6sjAOhyvb0XMjHxYXUGrKljxybz3nsj1RkAANDVenqSu+6qrgC6mVuhAFylXUksXQHA2rk5\nyWNJLNd/k/n5ZNu26goAAKAd7d2bjNqjAACgxEiSLdURAACwqhqNpczOvpKenuXqFADgKiwu9uaD\nD4arM2hTu3YlmzdXVwAAQCe7L8mm6ggAutz4+Jvp7V2szoA1cebMcA4enKrOAACArrd9ezI+Xl0B\ndDMD/wBcg51JHomhYQBYbVuSPB6/cy/fPfckg4PVFQAAQDuZm0t27qyuAACgu+2oDgAAgFXX3/95\npqcPV2cAAFfhxInRLC05y8qVm59vnu0FAABWU0+SJ5OMVYcA0MV6ehYyOXm0OgNW3aVL/Xnhhbnq\nDAAA6Hr9/cndd1dXAN3OwD8A12hbkv0xOAwAq+XWNA/W+fh2JYaGXAQCAAAuX6ORPPxw8ycAANTZ\nlGSqOgIAAFbd2NjhjI2dqs4AAK7QkSNGIrlyg4PJk08mPY5CAwDAGhhKciBJX3UIAF1sbOyt9PVd\nqs6AVbO83JNXXpnLxYu+9AQAgGp33tncGgOo5BsCAFbArUmeiF8rALDSdiR5LH7HXp3t25M5L74H\nAAAuw44dyfx8dQUAACTNZwMAAND5ZmZezuDg+eoMAOAynT07lNOn+6szaDONRvL448n4eHUJAAB0\nk7kkj1RHANDFGo2lTE0dqc6AVXPo0Gw+/XSgOgMAALre8HBz4B+gmpVIAFbIzUmeStJbHQIAHWJX\nkoeqI9pao5E89FDzJwAAwFcZGUnuuae6AgAA/tnWJH3VEQAAsOoajcXMz7+Q3t7F6hQA4DK8995E\ndQJtaM+e5PrrqysAAKAbfSuJZSsA6oyOvpP+/gvVGbDiPvpoIkeOjFRnAAAAaZ5J6O+vrgAw8A/A\niroxydMxNgAA1+qeJPdWR3SEdeuS22+vrgAAAFrZAw8kAwPVFQAA8M8G0rxoDwAAna+394vMz7+a\nRqO6BAD4Opcu9eXo0eHqDNrMDTckd99dXQEAAN3s3iSbqyMA6GLT04erE2BFnTkznIMHp6ozAACA\nJBMTyfbt1RUATQb+AVhhm5M8EyP/AHC1HkhyV3VER9m3r/mFHAAAwJ+7/vrk5purKwAA4M/tqA4A\nAIA1Mzj4caan363OAAC+xrFj49UJtJnx8eSxx6orAACg2zWSPJHExToAagwPH83g4LnqDFgRly71\n5cUXZ7O87O31AADQCu65J+mxqA20CP8cAbAKNiV5LslAdQgAtJFGkkeT7KwO6Th9fckjj1RXAAAA\nraavL3nwweoKAAD4MnNJ5qsjAABgzYyPH8rY2MnqDADgSywv9+Tw4bHqDNpIb2/y1FPJ4GB1CQAA\nkAwmOZCkvzoEgC41NXWoOgGu2dJST156aV0uXOitTgEAAJLMzSW33FJdAfCvDPwDsErWpznyP1Qd\nAgBtoCfJE0luqw7pWJs2Jdu3V1cAAACt5K67komJ6goAAPgqO6oDAABgTc3MvJzBwXPVGQDAnzl5\ncjQXL7qCyOV76KHmZXoAAKBVzKR5d7FRHQJAFxoa+ijDw2eqM+AaNPLaa/P57DMvTAIAgFZx773V\nBQD/ltN1AKyi+STPJxmvDgGAFtaX5ECSm6tDOt599yVjY9UVAABAK5ieTnbtqq4AAICvc0uSweoI\nAABYM43GUubnX0xv72J1CgDwJw4fdh+Ey3f77cltt1VXAAAAf+mGJA9URwDQpaamfl+dAFft8OGZ\nHDs2VJ0BAAD8k82bk+uuq64A+LcM/AOwyiaTfD/JXHUIALSg/iTPpnlAjtXW3588/HB1BQAA0Aoe\neijp8ZQMAICW1pdka3UEAACsqd7eLzI/fzCNxnJ1CgCQ5OzZoZw+3V+dQZvYsCG5//7qCgAA4Kvd\nnmRndQQAXWhg4GRGR09XZ8AVO3ZsMm+/PVadAQAA/Il9+6oLAP6S6RIA1sBwku8m2VwdAgAtZCTN\n348bq0O6yvXXJ1vtIQEAQFfbti3Z6KMYAABtYUd1AAAArLnBwU8yM/NudQYAkOS99yaqE2gTo6PJ\nU08lPW6rAgBAi7s/yY3VEQB0ocnJN9JoVFfA5fvss9EcPDhVnQEAAPyJW25J5uaqKwD+kiNTAKyR\n/iTPJLm1OgQAWsBMku8n8W1RhfvvT0ZGqisAAIAK4+PNzwQAANAeJpNcVx0BAABrbmzsrYyPn6zO\nAICudulSXz74YKg6gzbQ25scOJAMD1eXAAAA36yR5Im41wjAWuvv/zxjY57/0R7OnRvMCy/MVmcA\nAAB/oqcnueee6gqAL2fgH4A11JPksSS7q0MAoNB1Sb6XZKw6pGsNDiYPPVRdAQAAVNi/P+nvr64A\nAIArsaM6AAAASkxPv5zBwXPVGQDQtY4dG8/ycqM6gzbw8MPJ/Hx1BQAAcPn6kjwT9xsBWGuTk6+n\n0ViuzoCvtbDQl1//ej6Li74fBwCAVrJ9ezIxUV0B8OUM/ANQYF+SB5P4MhuAbrM1ybNJBqpDut6W\nLcnNN1dXAAAAa2nnzmTjxuoKAAC4UjcmGamOAACANddoLGV+/oX09i5UpwBA11lebuTwYUOPfLOd\nO5OtW6srAACAKzeS5sh/f3UIAF2kt/eLjI9/Up0BX2lpqScvvbQu58/3VqcAAAB/or8/ufvu6gqA\nr2bgH4Aityd5KokvtQHoFnuS7I+PYa3joYeSoaHqCgAAYC1MTSX79lVXAADA1ehJsq06AgAASvT2\nnsv8/ME0GsvVKQDQVU6dGsvFi8678vU2b07uu6+6AgAAuHozad719/kPgLUzOfl6ensXqzPgSzTy\nu9/N5fRpL0ACAIBWc+eddsKA1uZJCwCFtiR5LslgcQcArKaeJI8m2Vsdwp8ZGkoeeKC6AgAAWG2N\nRrJ/f9LXV10CAABXa3sc8wIAoFsNDh7PzMw71RkA0FXefnu8OoEWNz2dPPlk0uNrSwAAaHObk7hg\nB8Da6em5mMnJ96oz4C+8885MPvxwuDoDAAD4M8PDzYF/gFbmCBUAxTYkeT6JA+AAdKKBJM8mua06\nhK/wrW8lN95YXQEAAKym3buTdeuqKwAA4FqMJtlSHQEAAGXGxt7O+Pjx6gwA6Apnzgzl9On+6gxa\n2MhI8uyzycBAdQkAALAydiTZXR0BQBcZG3s7AwMXqjPgX3zwwVTeemusOgMAAPgS99yT9DvGArQ4\nA/8AtICpJH+VZGN1CACsoNEk30tyXXUI3+Dhh10yAgCATjU7m9x9d3UFAACshDurAwAAoNT09G8y\nNPRFdQYAdLyjR8erE2hhfX3J008nY7auAACgw+xLsq06AoAu0WgsZ2bmjeoMSJIcPz6R3/1usjoD\nAAD4EvPzyW23VVcAfDMD/wC0iKEkzyXZXh0CACtgNsn3k8xUh3AZRkaS+++vrgAAAFZaT0/y2GPN\nnwAA0P7WJdlYHQEAAGUajaXMzb2Qvr6F6hQA6FiXLvXl6NHh6gxaVKORPP548wI9AADQiR5OsqU6\nAoAuMTj4cUZHT1dn0OVOnx7Nyy9PV2cAAABf4cEHm2cVAFqdSRMAWkhPmg//H4pfUQC0r5uSPJ9k\ntDqEK3DbbcnmzdUVAADASrr77mTGe9cAAOgou6oDAACgVG/v+axb91J6exerUwCgI3300XiWl92M\n5svdd1+yZUt1BQAAsHoaSZ5Isqk6BIAuMT39anp6lqsz6FJnzgznhRdmqzMAAICvsHVrsm5ddQXA\n5bGeDEAL2pHk20mGqkMA4ArdneSpJH3VIVyFRx9NBgerKwAAgJWwbl2ye3d1BQAArLQbkkxVRwAA\nQKn+/tOZnz+YRsPYBwCspOXlRt5+e6w6gxZ1++3JHXdUVwAAAKuvN8mBJHPVIQB0gd7eLzI5+Yfq\nDLrQuXOD+dWv5rK05IW3AADQigYGkn37qisALp+BfwBa1KYk308yXR0CAJehP81h/7urQ7gGo6PJ\nI49UVwAAANeqry/Zvz9pOGcLAEBH2lUdAAAA5QYHP8n8/Bu+BwaAFXTq1FguXnTVkL90ww3JAw9U\nVwAAAGtnIMmzSSarQwDoAuPjb6S//1J1Bl3k4sX+/OpX81lY8H04AAC0qj17kpGR6gqAy+dbBgBa\n2ESaI/83VocAwNcYT/J8kpuqQ1gBN92UbNtWXQEAAFyLffuSqanqCgAAWC23JnFKFQAAhoePZmbm\nneoMAOgYhw+PVSfQgubmkieeiBcrAQBA1xlO8u04nwDAams0ljI9fag6gy6xsNCXX/96XS5c6K1O\nAQAAvsLUVLJzZ3UFwJUx8A9Ai+tPciDJ7uoQAPgS1yX5qyQz1SGsoAceMAYKAADtatMmD+0BAOh0\nPUn80QsAAEkyNvZWpqb+UJ0BAG3v7NmhfPrpQHUGLWZ0NHnmmaS/v7oEAACoMZ7myP9gdQgAHW54\n+IMMD/+xOoMOt7jYm5deWpezZ/uqUwAAgK/xwANJj6VsoM34ZwuANtBIsi/JE0l8UQ5Aq9iV5gG1\noeoQVlhfX/LEE77oAwCAdtPfnzz6aHUFAACshR1JrGoBAECSTE6+lvHxE9UZANDW3n9/vDqBFtPf\n3xz3HxmpLgEAAGrNJHk67vcDsNqmp19Lo7FcnUGHWl7uyW9/O5/Tp527BACAVrZlS7J5c3UFwJUz\nVwhAG7klyfeSTFSHANDV+pM8meTeNF9CQyeanU327auuAAAArsT99yfjdicAAOgKA0m2VUcAAEDL\nmJ5+OSMjn1dnAEBbunSpL0ePDldn0EIajeTJJ5tnaQEAAJINSZ6KeRoAVlN//+eZmPi4OoMOtLzc\nyGuvzef48cHqFAAA4Gv09ja3AgDakScoALSZuSQ/SLKluAOA7jSZ5PtJbq4OYQ3ceac3egIAQLu4\n4YZkm31TAAC6yh1x9AsAAJoajeXMzf06Q0NfVKcAQNs5enQyy8uN6gxayIMPJtdfX10BAAC0lutj\n5B+A1TYx8bv09i5UZ9BBlpcb+d3v5vPhh0PVKQAAwDfYtSsZH6+uALg6np4A0IYGkhxIcn/8KgNg\n7WxJ8ldJpos7WEv79ydDntkDAEBLGx1t/u0OAADdZSxeSAwAAP+q0VjM/Pyv0t9/oToFANrGwkJv\nDh8erc6ghezZk+zYUV0BAAC0phuTPBF3+wFYLT09C5mefqc6g47RyOuvz+cPfxiuDgEAAL7B2Fiy\ne3d1BcDV8+QEgDZ2R5LvpTlcAACrpTfJA2m+XGaguIW1NjJiKBQAAFpZT0/yxBNezAUAQLfaVR0A\nAAAtpafnYtav/3X6+haqUwCgLXz44USWlhrVGbSInTuTvXurKwAAgNZ2U5LHkvgsCcDqGB19N0ND\nX1Rn0PYaeeONuXzwgXF/AABoB/fdl/T1VVcAXD0D/wC0uXVJfpjkhuoQADrSRJLnk+ysDqHQDTck\nt99eXQEAAHyZu+9ONmyorgAAgCqzSTZXRwAAQEvp7f0i69a9lN7exeoUAGhpi4u9eeutseoMWsTW\nrckDD1RXAAAA7eGWJPtj5B+A1TI9/Xp1Am2tkTffnMv7749UhwAAAJdh06bk5purKwCujYF/ADrA\nYJJnkuyLwwAArJxvpfkSmbnqEFrAffclMzPVFQAAwJ/avDm5667qCgAAqLarOgAAAFpOf//pzM8f\nTKOxXJ0CAC3r44/Hs7DgaiHJli3Jo49WVwAAAO3l1iSPVEcA0KEGBk5mfPxkdQZt6tCh2Rw5Ytwf\nAADaQU9P8uCD1RUA184pPAA6yO4k303ii3YArkVfmofLHk/SX9xCq+jtTZ54ovkTAACoNzKSPPZY\ndQUAALSC6+JlxQAA8JcGBz/J/Pwb1RkA0JKWl3vy5pvj1Rm0gM2bkyefTBqN6hIAAKD93Jbk4eoI\nADrU5OSr6e1drM6gzbz99mzefXe0OgMAALhMO3Yk09PVFQDXzsA/AB1mQ5IfJdlcHQJAW5pO8ldJ\ntlWH0IKmp5P77quuAAAAGo3k8ceT4eHqEgAAaBV3VgcAAEBLGh4+mtnZd6ozAKDlfPzxWC5edK2w\n261fnxw4kPT4XwEAALhq25M8WB0BQAfq7b2Qycmj1Rm0kXfemc3hw2PVGQAAwGUaHk727q2uAFgZ\njl8B0IGGkjybZG/8qgPg8m1Lc9zfKx35arffntx4Y3UFAAB0tz17kk2bqisAAKCV3JzExTQAAPgy\nY2NvZWrqD9UZANAylpcbOXRoojqDYjMzybPPJn191SUAAED7uz3J/dURAHSgsbFDGRi4UJ1BG3j3\n3Zm89ZYzlAAA0E7uuy8ZGKiuAFgZVo8B6FCNJHuSfC+Jw+cAfJ3+JI8neSSJWyp8s0cfTUZGqisA\nAKA7bdrUHPgHAAD+VE+SO6ojAACgZU1Ovpbx8RPVGQDQEk6eHMu5c73VGRSanEyee85FeQAAYCXd\nkeS+6ggAOkyjsZyZmderM2hxR47M5NCh8eoMAADgCmzenNx6a3UFwMox8A9Ah1uX5EdJtlWHANCS\n5pP8MMm3qkNoI0NDyf791RUAANB9hoeTxx9PGo3qEgAAaEXbkljkAgCArzI9/XJGRz+rzgCAYo28\n+eZEdQSFRkeb4/7Dw9UlAABA57kzyUPVEQB0mMHBTzI+frw6gxZ1+PBs3nzTuD8AALSTvr7k4Udr\nE9cAACAASURBVIerKwBWloF/ALpAX5JHkhxIMlTcAkBr6EmyN8n3k7ioxJXbvDnZs6e6AgAAukej\n0Rz3HxmpLgEAgFbVn2RHdQQAALSsRmM5s7O/yujo6eoUACjz6acjOXOmrzqDIkNDzXH/sbHqEgAA\noHPtSLI/SaO4A4BOMjV1MH19C9UZtJRG3nxzLm+/7ctOAABoN/fck4x7TxfQYQz8A9BFtiT5UZIb\nijsAqDWT5K+S7ImDYlyLu+9Orr++ugIAALrD7t3JdddVVwAAQKvbmaS3OgIAAFpWc+T/10b+Aeha\nhw5NVidQZGAg+fa3k6mp6hIAAKDzbU3yRMzZALBSenoWMjPz++oMWsTyciNvvDGXI0dGq1MAAIAr\ntG5dsnNndQXAyvNEBIAuM5LkmSSPJOkvbgFgbTWS7E7ygySzxS10gkYjefxxbwQFAIDVtnFjsndv\ndQUAALSDkSS3VkcAAEBLM/IPQLf6/PORnD7tDkU36utLnnkmmZurLgEAALrHzUmeStJbHQJAhxge\n/kNGR09VZ1BsebmR116bz/vvj1SnAAAAV6inJ3nkkeZmF0CnMfAPQJfaluRHSTZUhwCwJqaSPJ9k\nX3wMYiUNDiYHDjQvPwEAACtvaKj5Yi0P6wEA4HLtSvOlxwAAwFcx8g9AN3rrrcnqBAr09TXPuW5w\ndQYAAFhzNyZ5OomLdwCsjOnpg+ntXazOoMjSUk8OHlyXDz8crk4BAACuwq5dycxMdQXA6rBsCUAX\nG0/y3ST3JektbgFg9exM8oMk66pD6FCzs8lDD1VXAABAZ3rssWR0tLoCAADayWSSW6sjAACg5f3r\nyP+n1SkAsOrOnh3KiRMD1Rmssb6+5Jlnks2bq0sAAIDutTnJt5P0V4cA0AF6ey9kZubt6gwKLC31\n5De/WZePPhqqTgEAAK7C1FSyZ091BcDqMfAPQJdrJLkzzeHn9cUtAKys8STfSfJAkr7iFjrd1q3J\njh3VFQAA0Fl27Uquv766AgAA2tGeNJ+FAwAAX6c58v+CkX8AOt7hw5PVCayx/v7k2WeTTZuqSwAA\nADYkeS7JYHUIAB1gZORIRkY+r85gDS0u9uall9bn+HF/SwAAQLt6+OGkt7e6AmD1GPgHgCTJdJLv\nJXkwSX9xCwDXbluSHyVxK4W188ADyXrvCwIAgBWxYUNyzz3VFQAA0K4mktxaHQEAAG3hn0f+x8ZO\nVacAwKo4d24wx44NVWewhv553H/jxuoSAACAf7YuyXeS+HwKwLWbmfltenqWqjNYAwsLvXnxxfU5\ndWqgOgUAALhK27c7vwB0PgP/APAvGkluT/Lvk9xY3ALA1ZlI8u0kj8QLW1hrPT3JU08lw8PVJQAA\n0N5GR5t/W/d4igUAANdgTxwNAwCAy2PkH4BO9u67k9UJrKGBgeS555ING6pLAAAA/txskueTjFeH\nANDmenu/yPT0u9UZrLJLl/ry619vyOnTNiMAAKBdjYwk995bXQGw+tziBIC/MJrk6SRPJhkpbgHg\n8vQkuSvJv0uyubiFbjYykjz5pCFSAAC4Wr29yYEDXpwFAADXbiLJ1uoIAABoK0b+Aeg0Fy4M5OhR\nD1+7xeBgc9x/3brqEgAAgK8ymebI/1x1CABtbmzs7QwNna3OYJWcPz+Qn/98Q/74x77qFAAA4Bo8\n9FAyMFBdAbD6TA4CwFe6Ocm/T7KtOgSAr7UhyY+S3JOkt7gFko0bvTkUAACu1sMPJ/Pz1RUAANAp\n7orjYQAAcGWaI/8nqzMAYEUcOTJRncAaGRpqjvt73g4AALS+kSTfTXJddQgAbW529rdpNJarM1hh\nZ84M52c/W5/z5+1GAABAO7vppmTLluoKgLXhBicAfK2BJI+keVBgqrgFgH9rMMmjSb4X/0bTau64\nI7nlluoKAABoL7ffnmzdWl0BAACdZDyJP7IBAOBKzc6+mPFxI/8AtLdLl/rz3nsj1RmsgaGh5Dvf\nSebmqksAAAAuV3+SZ5N8qzoEgDbW1/fHTE29X53BCjp1aiy/+MV8FhbM4gEAQDsbGEgefLC6AmDt\n+CYDAC7LxiQ/TLInfn0CtIKtSf5DktuqQ+ArPfpoMjNTXQEAAO1h48bk/vurKwAAoBN5xg0AAFdj\nZubFjI+fqM4AgKv2/vsTWV5uVGewyoaHk+9+13lVAACgHfUkeTzJHdUhALSx8fE3Mzh4rjqDFXDs\n2GReeGE2S0u+1wYAgHZ3333JyEh1BcDacXsTAC5bb5K9SX6QZENxC0C3mkrynST7kwzVpsA36OtL\nnnqq+UZRAADgq42NNf927vHUCgAAVsFYkm3VEQAA0JZmZl7K+Pjx6gwAuGILC315553R6gxW2chI\nc9x/erq6BAAA4Frcn+S+6ggA2lSjsZzZ2YNpNJarU7gGR47M5ODBqeoMAABgBWzalGxzjQnoMqZS\nAOCKzST5XpLHkzj0DrA2epPcneSHSTYVt8Dlm5xMHnusugIAAFpXb29y4EAy5B1uAACwinbHMTEA\nALg6MzMvG/kHoO0cPTqRpaVGdQaraHS0Oe4/ZfMKAADoCHemeW/f2QYArlx//+lMTn5YncFVWF5u\n5Pe/n8+bb45XpwAAACugtzd55JHqCoC15+kGAFy1byX5D0n2pDk8DcDquD7Jj9Ic+PfvLe3nxhuT\nu+6qrgAAgNb06KPJ3Fx1BQAAdLqxJNuqIwAAoG3NzLyciQkj/wC0h0uX+vP222PVGayisbHmuP/k\nZHUJAADASvpWkmeS9FeHANCGJiZez8DAheoMrsDSUk8OHlyX994bqU4BAABWyL59ycREdQXA2jPw\nDwDXpC/J3iT/PsmW2hSAjjOd5NtJnk3iBgrtbe/e5IYbqisAAKC17N6dfOtb1RUAANAt7ooXKQMA\nwNWbnn45ExMfV2cAwDd6993JLC01qjNYJVNTyfe+50I8AADQqTYn+W4SQ78AXJlGYymzs69VZ3CZ\nFhb68uKL6/PRR0PVKQAAwArZtCm5447qCoAaBv4BYEWMJzmQ5LkkM8UtAO1uKMlDSX6U5oEsaH+N\nRvLEE8mMPxMAACBJcuONyT33VFcAAEA3GU2yvToCAADa2vT0bzIzc6Q6AwC+0oULA3n33dHqDFbJ\n+vXJ888nY2PVJQAAAKtpLskP/uknAFy+gYETXtjdBs6fH8gvfrEhn346UJ0CAACskIGBZP/+6gqA\nOgb+AWBFXZfkh0keTDJY3ALQbnqS3JnkPybZkaRRmwMrrL8/eeaZZGSkugQAAGrNzCSPP958ERYA\nALCWdifprY4AAIC2Nj7+Zubnf59GY7k6BQD+wuHDU9UJrJIbb0yeey4ZdE0FAADoCiNJvpfkpuoQ\nANrM5ORr6e+/VJ3BV/jss9H87Gfr88UXzjECAEAnuf/+ZGysugKgjoF/AFhxjSS3J/kPMVANcLm2\nJPl3Se5L4m3rdK6xsebIf19fdQkAANQYGkqefrr5AiwAAGCtjSTZXh0BAABtb2Tkvaxf/9v09i5W\npwDAvzh3bjBHjw5XZ7AKtm1LDhxw9hQAAOg2fUmeSrK7OgSANtLTs5DZ2VfTMPPSco4dm8wvfzmX\nhQWTdwAA0EluvDG57bbqCoBavu0AgFUzlOShJD9Isrm4BaBVzSb5TpIDSSaLW2BtzM0ljz8eh0MA\nAOg6PT3JU08l4+PVJQAA0M12p3kJHgAAuBaDgx9n/foX09e3UJ0CAEmSQ4emqhNYBXfdlTzyiDOn\nAABAN9uXZH/M4wBwuQYHj2dy8oPqDP7J8nIjhw7N5eBB32EDAECnGRpqnmkA6HaeYADAqptN8u00\nB6zXFbcAtIrhJI+k+RKUTcUtsPa2bEnuu6+6AgAA1taDDyYbN1ZXAABAtxtJsqM6AgAAOkJ//+ls\n2PDzDAxcqE4BoMudOTOcjz4aqs5gBTUazWfs99xTXQIAANAKtqZ5T99nXwAuz8TE6xka+qI6o+st\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DHaORZGP+ddR/uDYHaAsLC8nf/m3y0UfVJQAAtLPdu5N9+6orAACA1vJykherIwAAgCQL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\nef755Lnnkpr9JwCYMarVZOfO5lGtlq4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BMIBBg4cCAiIyPh6ekJAGjUqJHcsHkASE9Px/Xr1ys8tposICAA3333XaVfU8tzDjcxMcHKlSvx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\nlW6vOhg7dizOnj2L27dvlxgABCg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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11de68850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(25, 7.5), dpi=300)\n",
    "venn2([set(drugbank_pairs), set(pharmgkb_pairs)], ax=ax1,\n",
    "      set_labels = ('Drugbank pairs', 'PharmGKB pairs'),\n",
    "      set_colors=('yellow', 'blue'))\n",
    "venn2([set(zip(*drugbank_pairs)[0]), set(zip(*pharmgkb_pairs)[0])], ax=ax2,\n",
    "      set_labels = ('Drugbank drugs', 'PharmGKB drugs'),\n",
    "      set_colors=('yellow', 'blue'))\n",
    "venn2([set(zip(*drugbank_pairs)[1]), set(zip(*pharmgkb_pairs)[1])], ax=ax3,\n",
    "      set_labels = ('Drugbank genes', 'PharmGKB genes'),\n",
    "      set_colors=('yellow', 'blue'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Overlap between drug - target associations and significant pharmacogenomic drug - gene relation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pairs_extended2 = pharmgkb_pairs_extended.loc[\n",
    "    pharmgkb_pairs_extended.significance.str.contains('yes', na=False)]\n",
    "pharmgkb_pairs_reduced2 = pharmgkb_pairs_extended2[['midrug_id', 'hgnc_id']].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2966"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pharmgkb_pairs_reduced2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmgkb_pairs_red = zip(pharmgkb_pairs_reduced2[\"midrug_id\"].tolist(), pharmgkb_pairs_reduced2['hgnc_id'].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib_venn._common.VennDiagram instance at 0x11dfe8ef0>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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8r7lm8sR5AAAAGOu16h9HRwAAAAD8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cf+rUKZNxNcPv1TCf5557DhMmTLBrPmQ7OTk+iIvzb+o0iMhBXb68B9u2LZa9zgkLG4Jp09bB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vd5rVsHYtasXpg2rTvc3Kzf9MNV1tITkSmFQlv3L5FLcsZ3ckVFhWTcplC4v7Gc58g+Op3r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\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5euj4YUUVgLXopupzlRVQWO9+85v693+v/ftHlwAAp8P0dH3uc3XbbaNLAAAAql6r/ml0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\nu2tubnQJAGwehvsBAAAA4AxbWak33/z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oODJck3OzsbY8aMweHDh4t8vQnPl/R6k8lkuHLlCmbPni1JX/Th+fPn+PLLLwv0qSjvq8K+6NOn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\nnevz8vJMFIlpSJHsWx8rKyud6y0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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11dffe390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(25, 7.5), dpi=300)\n",
    "venn2([set(drugbank_pairs), set(pharmgkb_pairs_red)], ax=ax1,\n",
    "      set_labels = ('Drugbank pairs', 'PharmGKB pairs'),\n",
    "      set_colors=('yellow', 'blue'))\n",
    "venn2([set(zip(*drugbank_pairs)[0]), set(zip(*pharmgkb_pairs_red)[0])], ax=ax2,\n",
    "      set_labels = ('Drugbank drugs', 'PharmGKB drugs'),\n",
    "      set_colors=('yellow', 'blue'))\n",
    "venn2([set(zip(*drugbank_pairs)[1]), set(zip(*pharmgkb_pairs_red)[1])], ax=ax3,\n",
    "      set_labels = ('Drugbank genes', 'PharmGKB genes'),\n",
    "      set_colors=('yellow', 'blue'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug_targets_grouped = drug2gene_targets_approved_drugs.groupby('midrug_id')\n",
    "new_df = []\n",
    "pharmgkb_drugids = zip(*pharmgkb_pairs_red)[0]\n",
    "for midrug_id, group in drug_targets_grouped:\n",
    "    coverage = 0\n",
    "    num_targets = float(group.hgnc_id.nunique())\n",
    "    if midrug_id not in pharmgkb_drugids:\n",
    "        if midrug_id not in pharmgkb_pgx_data_all_drugids:\n",
    "            coverage = -1\n",
    "            new_df.append([midrug_id, num_targets, coverage, 'drug missing in database'])\n",
    "        else:\n",
    "            coverage = -1\n",
    "            new_df.append([midrug_id, num_targets, coverage, 'only non-coding variants'])\n",
    "        continue\n",
    "    \n",
    "    num_covered = 0.\n",
    "    for hgnc_id in group[\"hgnc_id\"]:\n",
    "        if (midrug_id, hgnc_id) in pharmgkb_pairs:\n",
    "            num_covered += 1.\n",
    "    coverage = num_covered/num_targets\n",
    "    if coverage == 0.:\n",
    "        new_df.append([midrug_id, num_targets, coverage, 'variants in non-target genes'])\n",
    "    elif coverage < 1.:\n",
    "        new_df.append([midrug_id, num_targets, coverage, 'targets partially covered'])\n",
    "    else:\n",
    "        new_df.append([midrug_id, num_targets, coverage, 'all targets covered'])   \n",
    "new_df = pd.DataFrame(new_df, columns=[\"midrug_id\", \"num_targets\", \"coverage\", \"category\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>midrug_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>category</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all targets covered</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drug missing in database</th>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>only non-coding variants</th>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>targets partially covered</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variants in non-target genes</th>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              midrug_id\n",
       "category                               \n",
       "all targets covered                  85\n",
       "drug missing in database            862\n",
       "only non-coding variants             93\n",
       "targets partially covered            47\n",
       "variants in non-target genes        151"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.groupby([\"category\"]).agg({'midrug_id': lambda x: len(set(x))})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0ARJJX3i27wRceYhis0ovtiMvLx9BQexOp7aF4YtcwoGEn6D3s0AF1wtfdpMN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\nlCBJvoQQQgghSpAkX0IIIYQQJej/AYCCfvKsg7Q4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ee94210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_df.groupby([\"category\"]).agg({'midrug_id': lambda x: len(set(x))})[\"midrug_id\"].plot.pie(figsize=(6, 6), autopct='%1.1f%%', fontsize=14)\n",
    "plt.ylabel(\"\");\n",
    "# plt.savefig(RAW_FIGURE_PATH + \"drugs_target_links_covered_pharmgkb_all.pdf\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "top100_units_covarge_pharmgkb = new_df.merge(top_100_units_drugs, on=\"midrug_id\").groupby([\"category\"])\\\n",
    "    .agg({'midrug_id': lambda x: len(set(x))})\\\n",
    "    .rename(columns={\"midrug_id\": \"count\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>category</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all targets covered</th>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drug missing in database</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>only non-coding variants</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>targets partially covered</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variants in non-target genes</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              count\n",
       "category                           \n",
       "all targets covered              17\n",
       "drug missing in database         23\n",
       "only non-coding variants          8\n",
       "targets partially covered         7\n",
       "variants in non-target genes     22"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top100_units_covarge_pharmgkb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UilbvgdPpxN13343Ro0e3Ol6r1bb7nqjVvhNfOHVIdBLf/rQen+xezOlCakWq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\ntPZWpnYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11de92590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(6, 6))\n",
    "top100_units_covarge_pharmgkb[\"count\"].plot.pie(autopct='%1.1f%%', fontsize=14, ax=ax)\n",
    "plt.ylabel(\"\")\n",
    "plt.tight_layout()\n",
    "# plt.savefig(RAW_FIGURE_PATH + \"drugs_target_links_covered_pharmgkb_top100.pdf\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug_targets_grouped = drug2gene_targets_approved_drugs.groupby('midrug_id')\n",
    "covered_target = []\n",
    "semi_covered_drugs = []\n",
    "new_df = []\n",
    "pharmgkb_drugids = zip(*pharmgkb_pairs_red)[0]\n",
    "for midrug_id, group in drug_targets_grouped:\n",
    "    coverage = 0\n",
    "    num_targets = float(group.hgnc_id.nunique())\n",
    "    if midrug_id not in pharmgkb_drugids:\n",
    "        if midrug_id not in pharmgkb_pgx_data_all_drugids:\n",
    "            coverage = -1\n",
    "            new_df.append([midrug_id, num_targets, coverage, '1 drug missing in database'])\n",
    "        else:\n",
    "            coverage = -1\n",
    "            new_df.append([midrug_id, num_targets, coverage, '2 only non-coding variants'])\n",
    "            semi_covered_drugs.append(midrug_id)\n",
    "        continue\n",
    "    \n",
    "    num_covered = 0.\n",
    "    for hgnc_id in group[\"hgnc_id\"]:\n",
    "        if (midrug_id, hgnc_id) in pharmgkb_pairs:\n",
    "            num_covered += 1.\n",
    "            covered_target.append(hgnc_id)\n",
    "    coverage = num_covered/num_targets\n",
    "    if coverage == 0.:\n",
    "        semi_covered_drugs.append(midrug_id)\n",
    "        new_df.append([midrug_id, num_targets, coverage, '3 non-targets only'])\n",
    "    elif coverage <= 1.:\n",
    "        new_df.append([midrug_id, num_targets, coverage, '4 some targets'])\n",
    "\n",
    "new_df = pd.DataFrame(new_df, columns=[\"midrug_id\", \"num_targets\", \"coverage\", \"category\"])\n",
    "covered_target = set(covered_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>category</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1 drug missing in database</th>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2 only non-coding variants</th>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3 non-targets only</th>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4 some targets</th>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            count\n",
       "category                         \n",
       "1 drug missing in database    862\n",
       "2 only non-coding variants     93\n",
       "3 non-targets only            151\n",
       "4 some targets                132"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.groupby([\"category\"]).agg({'midrug_id': lambda x: len(set(x))})\\\n",
    "    .rename(columns={\"midrug_id\": \"count\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "244"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(semi_covered_drugs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "targets_semi_covered_drugs = drug2gene_targets_approved_drugs.loc[drug2gene_targets_approved_drugs[('midrug_id', '')].isin(semi_covered_drugs)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3d+9ennrqKbVjiCJqxezfMMTn71mSRZFZa8bib8XkqUfrVxV3r5LZGv3KjEaj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\nH6NL2RFpzwi6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d444a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_df_grouped = new_df.groupby([\"category\"]).agg({'midrug_id': lambda x: len(set(x))})[\"midrug_id\"]\n",
    "total = new_df_grouped.sum()\n",
    "new_df_grouped.plot.pie(figsize=(6, 6), fontsize=14, cmap=cmap3, startangle=60,\n",
    "                        autopct=lambda(p): '{:.0f}'.format(p * total / 100))\n",
    "plt.ylabel(\"\");\n",
    "plt.savefig(RAW_FIGURE_PATH + \"drugs_target_links_covered_pharmgkb_all_v2.pdf\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# drugs_pharmgkb_targets_covered = new_df.loc[new_df.coverage > 0.0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Create complete data set of drug-related genes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## ADME genes to drugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "# all ADME genes for approved drugs\n",
    "drug2gene_adme_all = drug2gene_annot.loc[(drug2gene_annot.association_type != \"target\")]\n",
    "drug2gene_adme_all_approved = drug2gene_adme_all.loc[drug2gene_adme_all.isFdaApproved == 1]\n",
    "pharmacogenes_all_approved_drugs = reduce_drug2gene(drug2gene_adme_all_approved)\n",
    "\n",
    "# established ADME genes for approved drugs\n",
    "drug2gene_adme = drug2gene_annot.loc[(drug2gene_annot.association_type != \"target\") &\n",
    "                                     (drug2gene_annot.target_known_action == 1)]\n",
    "drug2gene_adme_approved = drug2gene_adme.loc[drug2gene_adme_all.isFdaApproved == 1]\n",
    "pharmacogenes_approved_drugs = reduce_drug2gene(drug2gene_adme_approved)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5134 ADME links for approved drugs ( 1150 drugs, 335 genes)\n"
     ]
    }
   ],
   "source": [
    "print len(drug2gene_adme_all_approved), \"ADME links for approved drugs\", \n",
    "print \"(\", drug2gene_adme_all_approved.midrug_id.nunique(), \"drugs,\", \n",
    "print drug2gene_adme_all_approved.hgnc_id.nunique(), \"genes)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32 established ADME links for approved drugs ( 22 drugs, 23 genes)\n"
     ]
    }
   ],
   "source": [
    "print len(drug2gene_adme_approved), \"established ADME links for approved drugs\", \n",
    "print \"(\", drug2gene_adme_approved.midrug_id.nunique(), \"drugs,\", \n",
    "print drug2gene_adme_approved.hgnc_id.nunique(), \"genes)\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## ADME + drug targets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2pharmacogene_all = drug2gene_targets_approved_drugs.append(drug2gene_adme_all_approved, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7786 pharmacogene links for approved drugs ( 1576 drugs, 925 genes)\n"
     ]
    }
   ],
   "source": [
    "print len(drug2pharmacogene_all), \"pharmacogene links for approved drugs\", \n",
    "print \"(\", drug2pharmacogene_all.midrug_id.nunique(), \"drugs,\", \n",
    "print drug2pharmacogene_all.hgnc_id.nunique(), \"genes)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2pharmacogene = drug2pharmacogene_all.loc[(drug2pharmacogene_all.association_type == 'target') |\n",
    "                                              (drug2pharmacogene_all.hgnc_id.isin(pgx_genes_all))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6996 pharmacogene links for approved drugs ( 1508 drugs, 737 genes (targets + fujikura + kozyra only))\n"
     ]
    }
   ],
   "source": [
    "print len(drug2pharmacogene), \"pharmacogene links for approved drugs\", \n",
    "print \"(\", drug2pharmacogene.midrug_id.nunique(), \"drugs,\", \n",
    "print drug2pharmacogene.hgnc_id.nunique(), \"genes (targets + fujikura + kozyra only))\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Combined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/schaerfe/Documents/Privat/Dropbox/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/Users/schaerfe/Documents/Privat/Dropbox/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/Users/schaerfe/Documents/Privat/Dropbox/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/Users/schaerfe/Documents/Privat/Dropbox/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "target_genes_df2 = genes.loc[genes.hgnc_id.isin(drug2gene_targets_approved_drugs.hgnc_id.unique())][[\"hgnc_id\", \"symbol\", \"uniprot_ids\", \"length\"]]\n",
    "target_genes_df2[\"group\"] = \"target\"\n",
    "target_genes_df2[\"subgroup\"] = target_genes_df2[\"hgnc_id\"].apply(lambda x: \"cancer target\"\n",
    "                                                                 if x in drug2gene_onco_targets_approved_drugs.hgnc_id.tolist()\n",
    "                                                                 else \"target\")\n",
    "fujikura_genes_df2 = fujikura_genes_df[[\"hgnc_id\", \"symbol\", \"uniprot_ids\", \"length\"]]\n",
    "fujikura_genes_df2[\"group\"] = \"ADME\"\n",
    "fujikura_genes_df2[\"subgroup\"] = \"CYP450\"\n",
    "kozyra_genes_df2 = kozyra_genes_df[[\"hgnc_id\", \"symbol\", \"uniprot_ids\", \"length\"]]\n",
    "kozyra_genes_df2[\"group\"] = \"ADME\"\n",
    "kozyra_genes_df2[\"subgroup\"] = kozyra_genes_df2[\"symbol\"].apply(lambda x: kozyra_subgroup_dict.get(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmacogenes_df = pd.concat([target_genes_df2, kozyra_genes_df2, fujikura_genes_df2])\\\n",
    "    .groupby([\"hgnc_id\", \"symbol\", \"uniprot_ids\", \"length\"])\\\n",
    "    .agg({\"group\": lambda x: \", \".join(x), \"subgroup\": lambda x: \", \".join(map(str, x))})\\\n",
    "    .reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "drug2gene_targets_approved_drugs.columns = drug2gene_targets_approved_drugs.columns.droplevel(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "816"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pharmacogenes_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Exports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "pharmacogenes_df.to_csv(SUPPLEMENT_PATH + \"pharmacogenes_set.txt\", index=False, sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "drug2gene_targets_approved_drugs.to_csv(SUPPLEMENT_PATH + \"drug2gene_targets_approved_drugs.txt\", index=False, sep=\"\\t\", encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
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