{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4020a4d1-a514-4c4b-99a3-499f0842efaf"
    }
   },
   "source": [
    "# GSEAPY Example\n",
    "Examples to use ``GSEApy`` inside python console"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %matplotlib inline\n",
    "# %config InlineBackend.figure_format='retina' # mac\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import pandas as pd\n",
    "import gseapy as gp\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "d2c0662b-fd5a-4240-8c31-45e8489623df"
    }
   },
   "source": [
    "**Check gseapy version**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.1.5'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gp.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "26c4261b-7326-47d9-b353-c6a4bd1b04c5"
    }
   },
   "source": [
    "## Biomart API  \n",
    "\n",
    "Don't use this if you don't know Biomart\n",
    "\n",
    "Warning: This API has limited support now"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert gene identifiers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gseapy import Biomart \n",
    "bm = Biomart()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ensembl_gene_id</th>\n",
       "      <th>external_gene_name</th>\n",
       "      <th>entrezgene_id</th>\n",
       "      <th>go_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>ENSG00000182968</td>\n",
       "      <td>SOX1</td>\n",
       "      <td>6656</td>\n",
       "      <td>GO:0021884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ENSG00000182968</td>\n",
       "      <td>SOX1</td>\n",
       "      <td>6656</td>\n",
       "      <td>GO:0030900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>ENSG00000182968</td>\n",
       "      <td>SOX1</td>\n",
       "      <td>6656</td>\n",
       "      <td>GO:0048713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ENSG00000182968</td>\n",
       "      <td>SOX1</td>\n",
       "      <td>6656</td>\n",
       "      <td>GO:1904936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>ENSG00000182968</td>\n",
       "      <td>SOX1</td>\n",
       "      <td>6656</td>\n",
       "      <td>GO:1990830</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ensembl_gene_id external_gene_name  entrezgene_id       go_id\n",
       "37  ENSG00000182968               SOX1           6656  GO:0021884\n",
       "38  ENSG00000182968               SOX1           6656  GO:0030900\n",
       "39  ENSG00000182968               SOX1           6656  GO:0048713\n",
       "40  ENSG00000182968               SOX1           6656  GO:1904936\n",
       "41  ENSG00000182968               SOX1           6656  GO:1990830"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## view validated marts\n",
    "# marts = bm.get_marts()\n",
    "## view validated dataset\n",
    "# datasets = bm.get_datasets(mart='ENSEMBL_MART_ENSEMBL')\n",
    "## view validated attributes\n",
    "# attrs = bm.get_attributes(dataset='hsapiens_gene_ensembl') \n",
    "## view validated filters\n",
    "# filters = bm.get_filters(dataset='hsapiens_gene_ensembl')\n",
    "## query results\n",
    "queries ={'ensembl_gene_id': ['ENSG00000125285','ENSG00000182968'] } # need to be a dict object\n",
    "results = bm.query(dataset='hsapiens_gene_ensembl', \n",
    "                   attributes=['ensembl_gene_id', 'external_gene_name', 'entrezgene_id', 'go_id'],\n",
    "                   filters=queries)\n",
    "results.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ensembl_gene_id       object\n",
       "external_gene_name    object\n",
       "entrezgene_id          Int32\n",
       "go_id                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mouse gene symbols maps to Human, or Vice Versa\n",
    "\n",
    "This is useful when you have troubles to convert gene symbols between human and mouse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gseapy import Biomart \n",
    "bm = Biomart()\n",
    "# note the dataset and attribute names are different\n",
    "m2h = bm.query(dataset='mmusculus_gene_ensembl',\n",
    "               attributes=['ensembl_gene_id','external_gene_name',\n",
    "                           'hsapiens_homolog_ensembl_gene',\n",
    "                           'hsapiens_homolog_associated_gene_name'])\n",
    "\n",
    "h2m = bm.query(dataset='hsapiens_gene_ensembl',\n",
    "               attributes=['ensembl_gene_id','external_gene_name',\n",
    "                           'mmusculus_homolog_ensembl_gene',\n",
    "                           'mmusculus_homolog_associated_gene_name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# h2m.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gene Symbols Conversion for the GMT file\n",
    "This is useful when runing GSEA for non-human species\n",
    "\n",
    "**e.g. Convert Human gene symbols to Mouse.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['EGF', 'IL1R1', 'IL1R2', 'HSPA1L', 'CACNA2D2', 'CACNA2D1', 'CACNA2D4', 'CACNA2D3', 'MAPK8IP3', 'MAPK8IP1']\n"
     ]
    }
   ],
   "source": [
    "# get a dict symbol mappings\n",
    "h2m_dict = {}\n",
    "for i, row in h2m.loc[:,[\"external_gene_name\", \"mmusculus_homolog_associated_gene_name\"]].iterrows():\n",
    "    if row.isna().any(): continue\n",
    "    h2m_dict[row['external_gene_name']] = row[\"mmusculus_homolog_associated_gene_name\"]\n",
    "# read gmt file into dict\n",
    "kegg = gp.read_gmt(path=\"tests/extdata/enrichr.KEGG_2016.gmt\")\n",
    "print(kegg['MAPK signaling pathway Homo sapiens hsa04010'][:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Egf', 'Il1r1', 'Il1r2', 'Hspa1l', 'Cacna2d2', 'Cacna2d1', 'Cacna2d4', 'Cacna2d3', 'Mapk8ip3', 'Mapk8ip1']\n"
     ]
    }
   ],
   "source": [
    "kegg_mouse = {}\n",
    "for term, genes in kegg.items():\n",
    "    new_genes = []\n",
    "    for gene in genes:\n",
    "        if gene in h2m_dict:\n",
    "            new_genes.append(h2m_dict[gene])\n",
    "    kegg_mouse[term] = new_genes\n",
    "print(kegg_mouse['MAPK signaling pathway Homo sapiens hsa04010'][:10])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Msigdb API\n",
    "\n",
    "Down load `gmt` file from: https://data.broadinstitute.org/gsea-msigdb/msigdb/release/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gseapy import Msigdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "msig = Msigdb()\n",
    "# mouse hallmark gene sets\n",
    "gmt = msig.get_gmt(category='mh.all', dbver=\"2023.1.Mm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "two helper method \n",
    "```python\n",
    "# list msigdb version you wanna query\n",
    "msig.list_dbver()\n",
    "# list categories given dbver.  \n",
    "msig.list_category(dbver=\"2023.1.Hs\") # mouse\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ctnnb1', 'Jag1', 'Myc', 'Notch1', 'Ptch1', 'Trp53', 'Axin1', 'Ncstn', 'Rbpj', 'Psen2', 'Wnt1', 'Axin2', 'Hey2', 'Fzd1', 'Frat1', 'Csnk1e', 'Dvl2', 'Hey1', 'Gnai1', 'Lef1', 'Notch4', 'Ppard', 'Adam17', 'Tcf7', 'Numb', 'Ccnd2', 'Ncor2', 'Kat2a', 'Nkd1', 'Hdac2', 'Dkk1', 'Wnt5b', 'Wnt6', 'Dll1', 'Skp2', 'Hdac5', 'Fzd8', 'Dkk4', 'Cul1', 'Jag2', 'Hdac11', 'Maml1']\n"
     ]
    }
   ],
   "source": [
    "print(gmt['HALLMARK_WNT_BETA_CATENIN_SIGNALING'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "049b8015-83fe-4037-ad66-76c2e3989f96"
    }
   },
   "source": [
    "## Enrichr API"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "b8abb0c6-1da7-4df1-b945-3cb07e960211"
    }
   },
   "source": [
    "**See all supported enrichr library names**  \n",
    "\n",
    "Select database from **{ 'Human', 'Mouse', 'Yeast', 'Fly', 'Fish', 'Worm' }**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ARCHS4_Cell-lines',\n",
       " 'ARCHS4_IDG_Coexp',\n",
       " 'ARCHS4_Kinases_Coexp',\n",
       " 'ARCHS4_TFs_Coexp',\n",
       " 'ARCHS4_Tissues',\n",
       " 'Achilles_fitness_decrease',\n",
       " 'Achilles_fitness_increase',\n",
       " 'Aging_Perturbations_from_GEO_down',\n",
       " 'Aging_Perturbations_from_GEO_up',\n",
       " 'Allen_Brain_Atlas_10x_scRNA_2021']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# default: Human\n",
    "names = gp.get_library_name()\n",
    "names[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Cellular_Component_AutoRIF',\n",
       " 'Cellular_Component_AutoRIF_Predicted_zscore',\n",
       " 'GO_Biological_Process_2018',\n",
       " 'GO_Biological_Process_AutoRIF',\n",
       " 'GO_Biological_Process_AutoRIF_Predicted_zscore',\n",
       " 'GO_Cellular_Component_2018',\n",
       " 'GO_Cellular_Component_AutoRIF',\n",
       " 'GO_Cellular_Component_AutoRIF_Predicted_zscore',\n",
       " 'GO_Molecular_Function_2018',\n",
       " 'GO_Molecular_Function_AutoRIF']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# yeast\n",
    "yeast = gp.get_library_name(organism='Yeast') \n",
    "yeast[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Parse Enrichr library into dict**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['MLH1', 'ECM10', 'RLI1', 'SSB1', 'SSB2', 'MSH2', 'YTA12', 'CDC6', 'HMI1', 'YNL247W', 'MSH6', 'SSQ1', 'MCM7', 'SRS2', 'HSP104', 'SSA1', 'MCX1', 'SSC1', 'ARP2', 'ARP3', 'SSE1', 'SMC2', 'SSZ1', 'TDA10', 'ORC5', 'VPS4', 'RBK1', 'NEW1', 'SSA4', 'ORC1', 'KAR2', 'SSA2', 'DYN1', 'SSA3', 'PGK1', 'VPS33', 'LHS1', 'CDC123', 'PMS1']\n"
     ]
    }
   ],
   "source": [
    "## download library or read a .gmt file\n",
    "go_mf = gp.get_library(name='GO_Molecular_Function_2018', organism='Yeast')\n",
    "print(go_mf['ATP binding (GO:0005524)'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Over-representation analysis by Enrichr web services\n",
    "\n",
    "The only requirement of input is a list of gene symbols.\n",
    "\n",
    "For online web services, gene symbols are not case sensitive.\n",
    "\n",
    "\n",
    "- `gene_list` accepts\n",
    "    - ``pd.Series``\n",
    "    -  ``pd.DataFrame`` \n",
    "    -  ``list`` object\n",
    "    - ``txt`` file (one gene symbol per row)\n",
    "\n",
    "\n",
    "- `gene_sets` accepts:\n",
    "\n",
    "    Multi-libraries names supported, separate each name by comma or input a list. \n",
    "\n",
    "For example:\n",
    "```python\n",
    "    # gene_list\n",
    "    gene_list=\"./data/gene_list.txt\", \n",
    "    gene_list=glist\n",
    "    # gene_sets\n",
    "    gene_sets='KEGG_2016'  \n",
    "    gene_sets='KEGG_2016,KEGG_2013'\n",
    "    gene_sets=['KEGG_2016','KEGG_2013']\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IGKV4-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CD55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IGKC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PPFIBP1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABHD4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0\n",
       "0          IGKV4-1\n",
       "1             CD55\n",
       "2             IGKC\n",
       "3          PPFIBP1\n",
       "4            ABHD4"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read in an example gene list\n",
    "gene_list = pd.read_csv(\"./tests/data/gene_list.txt\",header=None, sep=\"\\t\")\n",
    "gene_list.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['IGKV4-1', 'CD55', 'IGKC', 'PPFIBP1', 'ABHD4', 'PCSK6', 'PGD', 'ARHGDIB', 'ITGB2', 'CARD6']\n"
     ]
    }
   ],
   "source": [
    "# convert dataframe or series to list\n",
    "glist = gene_list.squeeze().str.strip().to_list()\n",
    "print(glist[:10])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Over-representation analysis via Enrichr web services\n",
    "\n",
    "This is an Example of the Enrichr analysis\n",
    "\n",
    "**NOTE**: \n",
    "1. Enrichr Web Sevices need `gene symbols` as input\n",
    "2. `Gene symbols` will convert to upcases automatically.\n",
    "3. (Optional) Input an user defined `background gene list`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Enrichr Web Serives (without a backgound input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# if you are only intrested in dataframe that enrichr returned, please set outdir=None\n",
    "enr = gp.enrichr(gene_list=gene_list, # or \"./tests/data/gene_list.txt\", \n",
    "                 gene_sets=['MSigDB_Hallmark_2020','KEGG_2021_Human'], \n",
    "                 organism='human', # don't forget to set organism to the one you desired! e.g. Yeast\n",
    "                 outdir=None, # don't write to disk \n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_set</th>\n",
       "      <th>Term</th>\n",
       "      <th>Overlap</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adjusted P-value</th>\n",
       "      <th>Old P-value</th>\n",
       "      <th>Old Adjusted P-value</th>\n",
       "      <th>Odds Ratio</th>\n",
       "      <th>Combined Score</th>\n",
       "      <th>Genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>IL-6/JAK/STAT3 Signaling</td>\n",
       "      <td>19/87</td>\n",
       "      <td>1.197225e-09</td>\n",
       "      <td>5.986123e-08</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.844694</td>\n",
       "      <td>140.612324</td>\n",
       "      <td>IL4R;TGFB1;IL1R1;IFNGR1;IL10RB;ITGB3;IFNGR2;IL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>TNF-alpha Signaling via NF-kB</td>\n",
       "      <td>27/200</td>\n",
       "      <td>3.220898e-08</td>\n",
       "      <td>5.368163e-07</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.841568</td>\n",
       "      <td>66.270963</td>\n",
       "      <td>BTG2;BCL2A1;PLEK;IRS2;LITAF;IFIH1;PANX1;DRAM1;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>Complement</td>\n",
       "      <td>27/200</td>\n",
       "      <td>3.220898e-08</td>\n",
       "      <td>5.368163e-07</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.841568</td>\n",
       "      <td>66.270963</td>\n",
       "      <td>FCN1;LRP1;PLEK;LIPA;CA2;CASP3;LAMP2;S100A12;FY...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>Inflammatory Response</td>\n",
       "      <td>24/200</td>\n",
       "      <td>1.635890e-06</td>\n",
       "      <td>2.044862e-05</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.343018</td>\n",
       "      <td>44.540108</td>\n",
       "      <td>LYN;IFITM1;BTG2;IL4R;CD82;IL1R1;IFNGR2;ITGB3;F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>heme Metabolism</td>\n",
       "      <td>23/200</td>\n",
       "      <td>5.533816e-06</td>\n",
       "      <td>5.533816e-05</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.181358</td>\n",
       "      <td>38.509172</td>\n",
       "      <td>SLC22A4;MPP1;BNIP3L;BTG2;ARHGEF12;NEK7;GDE1;FO...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Gene_set                           Term Overlap       P-value  \\\n",
       "0  MSigDB_Hallmark_2020       IL-6/JAK/STAT3 Signaling   19/87  1.197225e-09   \n",
       "1  MSigDB_Hallmark_2020  TNF-alpha Signaling via NF-kB  27/200  3.220898e-08   \n",
       "2  MSigDB_Hallmark_2020                     Complement  27/200  3.220898e-08   \n",
       "3  MSigDB_Hallmark_2020          Inflammatory Response  24/200  1.635890e-06   \n",
       "4  MSigDB_Hallmark_2020                heme Metabolism  23/200  5.533816e-06   \n",
       "\n",
       "   Adjusted P-value  Old P-value  Old Adjusted P-value  Odds Ratio  \\\n",
       "0      5.986123e-08            0                     0    6.844694   \n",
       "1      5.368163e-07            0                     0    3.841568   \n",
       "2      5.368163e-07            0                     0    3.841568   \n",
       "3      2.044862e-05            0                     0    3.343018   \n",
       "4      5.533816e-05            0                     0    3.181358   \n",
       "\n",
       "   Combined Score                                              Genes  \n",
       "0      140.612324  IL4R;TGFB1;IL1R1;IFNGR1;IL10RB;ITGB3;IFNGR2;IL...  \n",
       "1       66.270963  BTG2;BCL2A1;PLEK;IRS2;LITAF;IFIH1;PANX1;DRAM1;...  \n",
       "2       66.270963  FCN1;LRP1;PLEK;LIPA;CA2;CASP3;LAMP2;S100A12;FY...  \n",
       "3       44.540108  LYN;IFITM1;BTG2;IL4R;CD82;IL1R1;IFNGR2;ITGB3;F...  \n",
       "4       38.509172  SLC22A4;MPP1;BNIP3L;BTG2;ARHGEF12;NEK7;GDE1;FO...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# obj.results stores all results\n",
    "enr.results.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Enrichr Web Service (with `backround` input)\n",
    "\n",
    "NOTE: Missing `Overlap` column in final output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# backgound only reconigized a gene list input.\n",
    "enr_bg = gp.enrichr(gene_list=gene_list,\n",
    "                 gene_sets=['MSigDB_Hallmark_2020','KEGG_2021_Human'], \n",
    "                 # organism='human', # organism argment is ignored because user input a background \n",
    "                 background=\"tests/data/background.txt\",\n",
    "                 outdir=None, # don't write to disk \n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_set</th>\n",
       "      <th>Term</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adjusted P-value</th>\n",
       "      <th>Old P-value</th>\n",
       "      <th>Old adjusted P-value</th>\n",
       "      <th>Odds Ratio</th>\n",
       "      <th>Combined Score</th>\n",
       "      <th>Genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>IL-6/JAK/STAT3 Signaling</td>\n",
       "      <td>3.559435e-11</td>\n",
       "      <td>1.779718e-09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.533251</td>\n",
       "      <td>205.300064</td>\n",
       "      <td>IL4R;TGFB1;IL1R1;IFNGR1;IL10RB;ITGB3;IFNGR2;IL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>TNF-alpha Signaling via NF-kB</td>\n",
       "      <td>3.401526e-10</td>\n",
       "      <td>6.356588e-09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.824842</td>\n",
       "      <td>105.189414</td>\n",
       "      <td>BTG2;BCL2A1;PLEK;IRS2;LITAF;IFIH1;PANX1;DRAM1;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>Complement</td>\n",
       "      <td>3.813953e-10</td>\n",
       "      <td>6.356588e-09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.796735</td>\n",
       "      <td>104.027683</td>\n",
       "      <td>FCN1;LRP1;PLEK;LIPA;CA2;CASP3;LAMP2;S100A12;FY...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>Inflammatory Response</td>\n",
       "      <td>3.380686e-08</td>\n",
       "      <td>4.225857e-07</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.197067</td>\n",
       "      <td>72.200480</td>\n",
       "      <td>LYN;IFITM1;BTG2;IL4R;CD82;IL1R1;IFNGR2;ITGB3;F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MSigDB_Hallmark_2020</td>\n",
       "      <td>heme Metabolism</td>\n",
       "      <td>8.943634e-08</td>\n",
       "      <td>8.943634e-07</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.111306</td>\n",
       "      <td>66.725423</td>\n",
       "      <td>SLC22A4;MPP1;BNIP3L;BTG2;ARHGEF12;NEK7;GDE1;FO...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Gene_set                           Term       P-value  \\\n",
       "0  MSigDB_Hallmark_2020       IL-6/JAK/STAT3 Signaling  3.559435e-11   \n",
       "1  MSigDB_Hallmark_2020  TNF-alpha Signaling via NF-kB  3.401526e-10   \n",
       "2  MSigDB_Hallmark_2020                     Complement  3.813953e-10   \n",
       "3  MSigDB_Hallmark_2020          Inflammatory Response  3.380686e-08   \n",
       "4  MSigDB_Hallmark_2020                heme Metabolism  8.943634e-08   \n",
       "\n",
       "   Adjusted P-value  Old P-value  Old adjusted P-value  Odds Ratio  \\\n",
       "0      1.779718e-09            0                     0    8.533251   \n",
       "1      6.356588e-09            0                     0    4.824842   \n",
       "2      6.356588e-09            0                     0    4.796735   \n",
       "3      4.225857e-07            0                     0    4.197067   \n",
       "4      8.943634e-07            0                     0    4.111306   \n",
       "\n",
       "   Combined Score                                              Genes  \n",
       "0      205.300064  IL4R;TGFB1;IL1R1;IFNGR1;IL10RB;ITGB3;IFNGR2;IL...  \n",
       "1      105.189414  BTG2;BCL2A1;PLEK;IRS2;LITAF;IFIH1;PANX1;DRAM1;...  \n",
       "2      104.027683  FCN1;LRP1;PLEK;LIPA;CA2;CASP3;LAMP2;S100A12;FY...  \n",
       "3       72.200480  LYN;IFITM1;BTG2;IL4R;CD82;IL1R1;IFNGR2;ITGB3;F...  \n",
       "4       66.725423  SLC22A4;MPP1;BNIP3L;BTG2;ARHGEF12;NEK7;GDE1;FO...  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enr_bg.results.head() # "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Over-representation analysis (hypergeometric test) by offline\n",
    "\n",
    "This API **DO NOT** use Enrichr web services.\n",
    "\n",
    "\n",
    "**NOTE**:\n",
    "1. The input gene symbols are **case sensitive**.\n",
    "2. You need to **match the type of the gene identifers** which used in your gene_list input and GMT file. \n",
    "3. Input a .gmt file or gene_set dict object for the argument `gene_sets`\n",
    "\n",
    "For example:\n",
    "```python\n",
    "    gene_sets=\"./data/genes.gmt\",\n",
    "    gene_sets={'A':['gene1', 'gene2',...],\n",
    "               'B':['gene2', 'gene4',...],\n",
    "               ...}\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-02-04 15:48:06,188 [INFO] User defined gene sets is given: ./tests/data/genes.gmt\n",
      "2025-02-04 15:48:06,188 [INFO] Input dict object named with gs_ind_2\n",
      "2025-02-04 15:48:06,796 [WARNING] Input library not found: unknown. Skip\n",
      "2025-02-04 15:48:06,798 [INFO] Run: genes.gmt \n",
      "2025-02-04 15:48:06,799 [INFO]   Background is not set! Use all 682 genes in genes.gmt.\n",
      "2025-02-04 15:48:06,801 [INFO] ['CD55', 'IGKC', 'PPFIBP1', 'ABHD4']\n",
      "2025-02-04 15:48:06,802 [INFO] ['STK4', 'SPIN4', 'GPR87', 'KIF1B']\n",
      "2025-02-04 15:48:06,808 [INFO] Run: gs_ind_2 \n",
      "2025-02-04 15:48:06,838 [INFO]   Background is not set! Use all 7010 genes in gs_ind_2.\n",
      "2025-02-04 15:48:06,839 [INFO] ['CD55', 'IGKC', 'PPFIBP1', 'ABHD4']\n",
      "2025-02-04 15:48:06,839 [INFO] ['RFXANK', 'STK4', 'HCFC2', 'CNTN1']\n",
      "2025-02-04 15:48:06,864 [INFO] Done.\n"
     ]
    }
   ],
   "source": [
    "# NOTE: `enrich` instead of `enrichr`\n",
    "enr2 = gp.enrich(gene_list=\"./tests/data/gene_list.txt\", # or gene_list=glist\n",
    "                 gene_sets=[\"./tests/data/genes.gmt\", \"unknown\", kegg ], # kegg is a dict object\n",
    "                 background=None, # or \"hsapiens_gene_ensembl\", or int, or text file, or a list of genes\n",
    "                 outdir=None, \n",
    "                 verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_set</th>\n",
       "      <th>Term</th>\n",
       "      <th>Overlap</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adjusted P-value</th>\n",
       "      <th>Odds Ratio</th>\n",
       "      <th>Combined Score</th>\n",
       "      <th>Genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>genes.gmt</td>\n",
       "      <td>BvA_UpIN_A</td>\n",
       "      <td>8/139</td>\n",
       "      <td>0.457390</td>\n",
       "      <td>0.568432</td>\n",
       "      <td>1.169168</td>\n",
       "      <td>0.914547</td>\n",
       "      <td>HAL;IQGAP2;PCSK6;IL1R1;MBOAT2;MSRB2;PADI2;MAP3K5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>genes.gmt</td>\n",
       "      <td>BvA_UpIN_B</td>\n",
       "      <td>12/130</td>\n",
       "      <td>0.026744</td>\n",
       "      <td>0.187208</td>\n",
       "      <td>2.275467</td>\n",
       "      <td>8.240477</td>\n",
       "      <td>IL1RAP;FAM65B;DYSF;SUOX;HEBP1;MBNL3;SYK;ARHGDI...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>genes.gmt</td>\n",
       "      <td>CvA_UpIN_A</td>\n",
       "      <td>1/12</td>\n",
       "      <td>0.481190</td>\n",
       "      <td>0.568432</td>\n",
       "      <td>2.334966</td>\n",
       "      <td>1.708011</td>\n",
       "      <td>MBOAT2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>genes.gmt</td>\n",
       "      <td>DvA_UpIN_A</td>\n",
       "      <td>16/284</td>\n",
       "      <td>0.426669</td>\n",
       "      <td>0.568432</td>\n",
       "      <td>1.134623</td>\n",
       "      <td>0.966412</td>\n",
       "      <td>BCL3;HAL;IQGAP2;FXYD6;PTGS1;VNN1;PCSK6;KIF1B;I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>genes.gmt</td>\n",
       "      <td>DvA_UpIN_D</td>\n",
       "      <td>13/236</td>\n",
       "      <td>0.487227</td>\n",
       "      <td>0.568432</td>\n",
       "      <td>1.088533</td>\n",
       "      <td>0.782682</td>\n",
       "      <td>IL1RAP;FAM65B;DYSF;GLIPR2;FAM198B;HEBP1;TXNDC5...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Gene_set        Term Overlap   P-value  Adjusted P-value  Odds Ratio  \\\n",
       "0  genes.gmt  BvA_UpIN_A   8/139  0.457390          0.568432    1.169168   \n",
       "1  genes.gmt  BvA_UpIN_B  12/130  0.026744          0.187208    2.275467   \n",
       "2  genes.gmt  CvA_UpIN_A    1/12  0.481190          0.568432    2.334966   \n",
       "3  genes.gmt  DvA_UpIN_A  16/284  0.426669          0.568432    1.134623   \n",
       "4  genes.gmt  DvA_UpIN_D  13/236  0.487227          0.568432    1.088533   \n",
       "\n",
       "   Combined Score                                              Genes  \n",
       "0        0.914547   HAL;IQGAP2;PCSK6;IL1R1;MBOAT2;MSRB2;PADI2;MAP3K5  \n",
       "1        8.240477  IL1RAP;FAM65B;DYSF;SUOX;HEBP1;MBNL3;SYK;ARHGDI...  \n",
       "2        1.708011                                             MBOAT2  \n",
       "3        0.966412  BCL3;HAL;IQGAP2;FXYD6;PTGS1;VNN1;PCSK6;KIF1B;I...  \n",
       "4        0.782682  IL1RAP;FAM65B;DYSF;GLIPR2;FAM198B;HEBP1;TXNDC5...  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enr2.results.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### About Background genes \n",
    "\n",
    "By default, all genes in the `gene_sets` input will be used as background. \n",
    "\n",
    "However, a better background genes would be the following:\n",
    "\n",
    "\n",
    "1. (Recommended) Input a list of background genes: ['gene1', 'gene2',...]\n",
    "    - The background gene list is defined by your experment. e.g. the expressed genes in your RNA-seq.\n",
    "    - The gene identifer in gmt/dict should be the same type to the backgound genes.\n",
    "\n",
    "2. Specify a number: e.g. 20000. (the number of total expressed genes).\n",
    "    - This works, but not recommend. It assumes that all your genes could be found in background.\n",
    "    - If genes exist in gmt but not included in background provided, they will affect the significance of the statistical test.\n",
    "\n",
    "3. Set a Biomart dataset name: e.g. \"hsapiens_gene_ensembl\"\n",
    "    - The background will use all annotated genes from the `BioMart datasets` you've choosen.\n",
    "    - The program will try to retrieve the background information automatically.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Show top 5 terms of each gene_set ranked by \"Adjusted P-value\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# simple plotting function\n",
    "from gseapy import barplot, dotplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# categorical scatterplot\n",
    "ax = dotplot(enr.results, \n",
    "              column=\"Adjusted P-value\", \n",
    "              x='Gene_set', # set x axis, so you could do a multi-sample/library comparsion\n",
    "              size=10, \n",
    "              top_term=5,\n",
    "              figsize=(3,5), \n",
    "              title = \"KEGG\",\n",
    "              xticklabels_rot=45, # rotate xtick labels\n",
    "              show_ring=True, # set to False to revmove outer ring\n",
    "              marker='o',\n",
    "             )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# categorical scatterplot\n",
    "ax = barplot(enr.results, \n",
    "              column=\"Adjusted P-value\", \n",
    "              group='Gene_set', # set group, so you could do a multi-sample/library comparsion\n",
    "              size=10, \n",
    "              top_term=5,\n",
    "              figsize=(3,5), \n",
    "              #color=['darkred', 'darkblue'] # set colors for group\n",
    "              color = {'KEGG_2021_Human': 'salmon', 'MSigDB_Hallmark_2020':'darkblue'}\n",
    "             )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VwsLC0KpVqwrrUFNTE9nl9MaNGxKliRoPBgB37tyBo6MjkpOTBdIHDhyIq1evih0nWt+IGq/59Vi6oqIiiWbwrQtfB61qamr4999/0apVK4HxrHfv3q3tpn0TKDgkhBBCSL21YcMGTJo0SSg9MTER3bt3FwoUpKlNmzYYMWKEUPqJEyfg4eFR5a5vADBhwgSR0/RPmzYNc+fOrfbTyapITEyEnZ2dUHfNTp064datWzA2Npa4rjFjxgilLV26FNnZ2fz/BwQEwM/PT2AbNTU1DB48WKjs1atX0aNHD/4adTwTJkzAiRMnqtyF8UdkZmYmlPbPP/8I/KCxYsUKoYDxW/H1uMRPnz4hPj6e/3/GGNatWyeyi3d9QBPSEEIIIaRe27p1KwoLC7Fnzx6B9BcvXsDFxQXBwcFiJ5ApW8fZs2fL3Wb48OFC4wF37NiBmJgYREdHC6RfvnwZV65cgY2NDVq2bIkGDRogIyMD4eHhePXqVYXHxOVyce7cOXTt2lUgYGKM4e+//8aWLVtgZ2cHU1NTyMvL48OHDzW+7pqdnZ1QsC0rK4vWrVvjr7/+ElvOwsICU6ZMEUgbNWoUNm/eLBBoxsTEoGXLlnBzc0N6ejouXrwoNEbsr7/+Enry9fjxY3h4eAjNbKqjowMlJSXMmjVLbNvc3Nzg5uYmlL506VKBQDMpKUlom3v37gk9uZ4yZYrIMZXfEicnJ2zevFkg7fTp07Czs4O1tTUePHiAe/fu1VHrKta+fXuB8belpaWwtbVFnz59oKKignv37iEmJqbuGljHKDgkhBBCSL3G4XDwzz//oLCwUGiClCdPnqBHjx4IDAwUO9EEAIm60LVr104oOGzQoAH8/PwwZMgQhIaGCuSVlpYiPDwc4eHhlTia/9OyZUtcvXoVgwcPFnqKk5+fD39//yrVW1WinsKWlJQIBeVfc3JyEgoO5eTkcPDgQTg7OwtMfJKUlCS2vn79+gnVA3yZiEjUkhcfP36scNF4DQ0NkcHh3r17Kwzi4+LihMZEDhgw4JsPDt3d3WFiYiJ0fHfu3MGdO3f4/9fR0ZFo6YfaNnXqVKHJmbKzs/Hff//x/y8nJwdHR0cEBATUcuvqHnUrJYQQQki9JyMjg7179+Knn34SyouJiUHPnj3FLlxfXY0bN0ZQUBCWLVtWbgAqiqWlJVatWiWwYHhZnTt3RmRkJMaOHVvpdfkcHBxELjz+rWjVqhUCAgLQokWLcrfjcDgYP348Tpw4Ue4spUQyXC4Xhw4dgoqKithtRo0ahRUrVtRiqyTn6emJ2bNni83ncrn4999/4eDgUIut+nbQO4QQQgghBF+6OB48eBCenp5CeZGRkejVq5dAF01pkpOTwx9//IFXr17hwIEDGDNmDFq1agVdXV3Iy8tDSUkJurq6sLa2xrBhw7B+/XrExMTg2bNn+P3336GgoCC27oYNG+Lff//Fy5cvsXHjRgwcOBAWFhbQ1NSErKwsGjRoAH19fdjZ2WHcuHHw9fVFUlISQkJCMHTo0Bo5Xmlp06YNoqOjsW/fPnh4eMDIyAgKCgpQV1dH8+bNMWnSJNy9exe7d++mReulyN7eHhERERg9ejT09fUhLy8PXV1d9OvXD35+fjhw4ADk5eXrupli/f3337hw4QJcXV2hqakJBQUFmJiYwMvLC/fu3cPo0aPruol1hsMkWbCDEEIIIYQQQsgPjZ4cEkIIIYQQQgih4JAQQgghhBBCCAWHhBBCCCGEEEJAS1kQQgghhJAKvH37Fi4uLpUu17FjR6HlQUjFXFxcqrSI/JMnT2qgNaQ+oeCQEEIIIYSUq6ioCE+fPq10OT09vRpozY8vPj6+wnUSCakJ1K2UEEIIIYQQQggtZUEIIYQQ8r0pLS1FcnIyVFVVweFw6ro5hNQIxhhycnKgr68PGRl6plUbqFspIYQQQsh3Jjk5GUZGRnXdDEJqxZs3b2BoaFjXzagXKDgkhBBCCPnOqKqqAvjypVlNTa2OW0NIzcjOzoaRkRH/fic1j4JDQgghhJDvDK8rqZqaGgWH5IdHXadrD3XeJYQQQgghhBBCwSEhhBBCCCGEEAoOCSGEEEIIIYSAgkNCCCGEEEIIIaDgkBBCCCGEEEIIaLZSQgghhBBCSBkR/jG4uPMqntx7gdzMPHAV5aFtoIUeIx3Ra0w3qGo2qOsmkhrCYYyxum4EIYQQQgiRXHZ2NtTV1ZGVlUVLWRCpCThyE4f+Ook3T5PFbqOgxEW3YfaYuHY0Gmio1Gh76D6vfdStlBBCqoExhmPHjsHT0xNGRkZQVFSEpqYm2rVrh7lz5+L169d13cRvxuLFi8HhcLB48eK6borUJSYmgsPhwNTUVCiPw+GIXaMrLCwMrq6u0NLSgoyMDDgcDvbt28fPv3DhAhwcHKCmpsavJygoqGYO4htV3rmtKT/yvUqIOPt9jmHlyM3lBoYAUPC5EFf2BmC6/UJ8ePOxllpHagsFh4QQUkXJycno3LkzfvrpJ5w9exZ6enoYMGAAHBwc8PbtW/z9999o2rQptm3bJpX9OTs718vgQFrKC9LqQnJyMvr27YsbN26gVatWGDlyJLy8vGBhYQEAiIqKwqBBg3D79m107twZo0ePhpeXF/T09Oq45dJlamoKDoeDxMTEWtlfUFAQOBwOnJ2da2V/hHwPTqw9j0N/naxUmVexSVjQezk+ZebWUKtIXaAxh4QQUgUZGRlwcHDAy5cvYW1tjYMHD6Jly5b8/OLiYmzatAm///47pkyZgpKSEvz222912GJSV+Li4kSmX7t2DZmZmRg+fDgOHz4slH/27FkUFRVhwYIFWL58eU0385tlYGCAuLg4yMvL19o+p0yZgp9++gk6Ojq1tk9C6krS8xTs/v1Qlcq+ik2C78KjmLp1vJRbReoKPTkkhJAqmDJlCl6+fAkzMzMEBAQIBIYAICcnh1mzZmHTpk0AgNmzZ4sNEsiPzcrKClZWVkLpvC7HlpaWIstVlF9fyMvLw8rKCubm5rW2Tx0dHVhZWVFwSOqFizuuojpTkNw4GILPnz5LsUWkLlFwSAghlfTy5Uv8999/AIC1a9dCQ0ND7LaTJk1C27ZtUVRUhDVr1gjklZaWYteuXbCzs4OGhgbk5eWhq6uLtm3bYurUqfxudrxucMHBwQCAbt268btIfj1GDfjyVNPHxwft2rWDqqoqlJWV0bp1ayxbtgx5eXli2/rff//BxcUFWlpaUFBQgImJCcaOHYtnz56JLVNcXIy9e/eiR48e0NHRgYKCAgwNDdGjRw9s2bKlnLP4f4qKinDo0CGMGDECVlZWUFNTg5KSEpo1a4bffvsNycmix79kZWVh4cKFaN26NVRUVKCgoAB9fX3Y2dlh0aJFKCoqAvB/48d4yp67ynZnvHjxIpycnKCqqgp1dXU4ODjg3Llz5Zb5ujvrvn37wOFw4OPjAwBYsmQJfxtTU1N+e319fQEAY8aM4ed/3RWyste67Fi6169fY9y4cTAyMoK8vDy8vb0Ftj158iTc3NzQsGFDcLlcGBgYYOTIkYiNjRWqt+y4QMYYdu3ahfbt20NFRQXq6upwdXXF7du3BcrwzsOrV68AAGZmZgLXhdd9urwxh/fu3cPcuXPRsWNH6OnpgcvlolGjRvDw8MCNGzeEtnd2dka3bt0AAMHBwQL7K1t/RWMOr169Cnd3d+jq6oLL5UJfXx9Dhw5FeHi4yO3LdgmPioqCp6cn//3SokULrFu3rlpfzgmpqoLPBbi2P6hadeTlfMaNgyHSaRCpc9StlBBCKunChQsoLS2FhoYG+vXrV+62HA4Ho0aNQnR0NC5cuADGGD9QGD9+PHx9faGoqAh7e3s0bNgQ6enpePnyJbZu3QoXFxeYmppCT08PXl5euHLlCt6/f49evXoJjDvjjVEDgNjYWLi5ueHNmzdo3Lgx7O3tIS8vj3v37uHPP//EqVOnEBQUBHV1dX4Zxhi8vb1x4MAByMnJwdHREbq6uoiIiICvry+OHTuGU6dOwc3NTeDYsrKy4O7ujlu3bkFeXh5du3aFvr4+3r17h4cPH8Lf3x9Tp06t8Hy+f/8eo0aNgrq6Opo3b442bdogNzcXUVFR2LJlC/777z+EhYUJHGdeXh7s7e3x6NEjNGzYEC4uLlBRUcG7d+/w5MkThIWFYebMmdDQ0EC7du3g5eWF/fv3AwC8vLwE9t+ggWRTsm/YsAEzZ84EAHTs2BHm5uZ4/vw5BgwYwE+XhIWFBby8vBAVFYXo6Gi0bdsW7dq1A/DliRWvvbdu3UJ8fDzs7Oz4x172CWRVrjXP8+fPYW1tDS6XCzs7OzDG+E/JiouLMWLECBw/fhwKCgpo3749DAwM8OzZMxw+fBinT5/G6dOnhe4HnjFjxuDIkSNwcHCAu7s7oqKicP36dYSEhCA4OBidOnUSOA8nT55Ebm4uBg0aJHAtJBlbuWDBAgQGBqJly5b8YDQ+Ph4XL17ExYsXsXHjRkybNo2/vZubGxQVFXH16lU0atRI4BgkfUr4559/YtmyZeBwOOjatSuMjY0RFxeH48eP49SpU9i1axfGjh0rsuzVq1exfv16mJubo2fPnkhJScGtW7cwe/ZsvHnzBhs3bpSoDYRIyz2/KORkVH/MoP+Rm/D4tZcUWkTqHCOEEFIpo0aNYgBYt27dJNo+ODiYAWAA2MuXLxljjL169YoBYIaGhiwlJUWoTGxsLHv16pVAmpOTEwPAAgMDRe4nLy+PmZubMwBs4cKFrKCggJ+Xm5vLhg0bxgCwMWPGCJTbsWMHA8B0dHRYZGQkP720tJT5+PgwAExDQ4N9+PBBoJynpycDwKytrVlCQoJAXlFRETt79qxAGq8uHx8fgfTs7Gx27tw5gfYyxlhhYSGbP38+A8D69OkjkLd//34GgPXu3ZsVFhYK5JWUlLCgoCCh+njXoCqio6OZrKwsk5GRYSdOnBDIO3ToEONwOAwAMzExESorbr/izgePl5cXA8B8fX2F8qp6rXn7BMBGjhzJ8vPzhepesGABA8A6derEv195Tpw4wWRlZZmmpibLyMjgpyckJPDrNTExYU+fPuXnFRcXs7FjxzIAzNXVVWh/JiYmDIDQPfR13aLO7eXLl1lycrJQelhYGFNTU2Py8vIsKSlJIC8wMJABYE5OTiL3x5j4a+Pn58cAMEVFRXbt2jWBvD179jAATF5enj169Eggj/feBcB27twpkOfv7884HA6TlZVlb968Edum/Px8lpWVxX+9efOGAWAfP35khYWF9KJXlV6nNl1kPTiDq/0aZT65Rtr38eNHBoBlZWWJfW8Q6aInh4QQUkmpqakAgEaNGkm0fdntUlNTYWZmhvfv3wMAbGxsRD4had68eaXbtX//fsTHx8Pd3R1//fWXQJ6ysjJ27doFf39/HDx4EOvWrYOmpiaAL11jAWDRokX8J1gA+F0fz5w5g4cPH2L37t1YsGABACA6OhqnT5+GoqIiLly4AAMDA4H9ycnJoX///hK1W1VVVeQTWHl5eaxYsQL79+/HlStXkJOTA1VVVQDgn7+ePXsKTVQiIyMDJycnifYtqS1btqCkpARDhw7F4MGDBfJGjBiBEydOVNi9VJqqeq15tLS0sHXrVigoKAikp6enY8OGDVBUVMSpU6eEruvgwYMxceJEbN++HYcOHcKUKVOE2rZlyxY0bdqU/39ZWVksX74ce/fuRXBwMIqKiqQ2uUzv3r1Fpnfp0gWTJ0/GypUrce7cOUyaNEkq++O9VyZNmoSePXsK5I0bNw5nz57FxYsXsWnTJuzatUuovKenJyZOnCiQ1r17d/Tq1QtXrlxBYGAgRo0aJXLfK1euxJIlS4TSr127BmVl5aoeEqnnYqKlMxY+JysHly9flkpdZZU3FILUDAoOCSGkhjERY4msrKygqqqKy5cvY/ny5Rg+fDjMzMyqtZ9Lly4BAIYOHSoyv0GDBrC1tcXly5dx//59uLq6IikpCfHx8QCEu1sCXwLEMWPGYMaMGQgMDOQHh1euXAEA9O3bVyiAqKro6Gj4+/sjISEBubm5KC0tBfClm2NpaSlevHgBa2trAECHDh0AAGvWrIG2tjbc3d2hpaUllXaIwhv/NnLkSJH5Xl5etRocVuVal9WjRw+R3U0DAwPx+fNnuLi4iL2uzs7O2L59O8LCwoSCQzk5OZHdTfX09KCpqYmMjAykpaVJdTmOtLQ0XLp0CY8ePUJGRgZ/rOnz588BAE+fPpXKfoqLixEaGgoAQuMzecaNG4eLFy8iMDBQZL6Hh4fI9ObNm+PKlSt4+/at2P3Pnz9foPtydnY2jIyM4OrqSouDkyqTS1XGLd8H1a5Hp7E2+vTpI4UWCcrOzpZ6naR8FBwSQkgl8cYm8Z5eVeTDhw/8fzds2BDAl6dlvr6+GDNmDBYuXIiFCxeicePG6Ny5M9zc3DB8+HCJx8LxvHz5EgAwatQosU8feHhPP3lfRrW1tcV+weTNEln2iytvEhFRs3BWVm5uLkaNGoUzZ86Uu13ZLwnOzs74/fff8ffff8PLywscDgeWlpaws7ND//794eHhARkZ6c25lpSUBABiA/jqBvaVVZVrXZa4BeV59fr7+1e4JqSoehs3biz2qaCamhoyMjKQn59fbr2VsXv3bsyYMQO5ueLHTEnry2VaWhq/7eKut6j3SlnGxsYi03nvvfLOjYKCgtCTXuDLE/baXOaD/FjaOLSQSj0tu1rVyH1I93bto+CQEEIqqX379jh06BAiIiJQXFwMObnyP0rv3bsH4EsAVvZL+aBBg9CjRw+cP38eN2/eRGhoKM6cOYMzZ85g0aJFuH79Olq3bi1xu3hP2tzc3Crs8mpiYiJxvTVt/vz5OHPmDKysrLBq1Sp06NABOjo64HK5AICuXbvi9u3bQk9gV61ahV9++QUXLlzArVu3EBoaCl9fX/j6+qJDhw4IDAyEiopKXRxSjavutVZSUiq3XgsLC9jZ2ZVbr6gfBqQZkFfkwYMHmDhxImRlZbF69Wp4eHjA2NgYysrK4HA42LVrFyZOnPhNzQJam+eHEEkYNTNAu+6tEBXwqFr19JtEk9H8KCg4JISQSvLw8MCsWbOQlZWFc+fOYdCgQWK3ZYzh4MGDAAB3d3ehpzHq6uoCT3/evHmDqVOn4ty5c5gyZQp/+QpJGBkZ4cmTJxg3bpzQuDhxeF0H09LSkJ2dLfLpIe9pUtluhrwnIE+ePJG4feIcP34cAHDs2DG0adNGKJ/XPVAUU1NTTJ06lT8r6v379zFy5Ejcv38fa9asETlGqyoMDAwQHx+PxMREoTUtAVRqOQxpqMq1lrReAGjWrJnQEinfmhMnToAxhqlTp2Lu3LlC+eXdN1Whra0NBQUFFBQU4OXLlyLvVVHvFUK+df1+7VWt4LCVvRWatPl2fnAk1UM/YRFCSCWZm5vjf//7HwBgzpw5yMzMFLvt9u3b8fDhQ8jJyWHOnDkV1m1kZMQPaKKiogTyeE/SiouLRZblTc7BC7YkYWhoyO8KJyoYYIzx03nrwwHgjyu7fPmy2HUIJZWeng5A9BOuq1ev4uPHjxLX1aFDB/7kI1+fP173JHHnrzy8CW4OHz4sMv/AgQOVrrM6qnKtJeHi4gIul4ugoCCB7tA1qaL7Wpzy7pv8/HycOnVKqvuTk5ODvb09ANHvFQDYu3cvAMH3CiHfuq79O6CprXmVysrIymDUoiFSbhGpSxQcEkJIFWzbtg2mpqZISEhA9+7d8fjxY4H84uJirF+/nr/G2urVqwWeOEVGRuLYsWP4/PmzUN0XLlwAIPyl19DQEACE9sUzYcIEmJiY4MSJE/j999+Rk5MjtM27d++we/dugbTZs2cDAP766y9ER0fz0xljWLZsGaKioqChoYGff/6Zn9euXTv0798fnz9/Rv/+/fH69Wuh4z9//rzIdn6NNzPrli1bBNKfPn2KX375RWSZM2fOICQkhN8NkqeoqIg/WU5lz195pk6dCllZWRw/flxobOR///2Hs2fPVrrO6qjqta5Io0aNMHXqVOTm5sLDwwMxMTFC2xQUFOD8+fNSeWoMVP268O6b/fv3Cxx/fn4+Jk2ahISEhHL39/z5c/7kNZKaNWsWAGDHjh3w9/cXyNu3bx/Onz8PeXl5gbUVCfnWycrJYtmFedA3l2wGbh4Oh4OpW8fDpofwU3Ty/aJupYQQUgVaWlq4desWBgwYgPDwcLRu3Rq2trYwNzdHXl4ebt++jdTUVHC5XKxbt07oy+KrV6/w008/QUlJCTY2NjAyMkJxcTFiYmLw9OlTcLlcrFmzRqDMoEGD4Ovri7lz5+LGjRvQ1dUFh8PB2LFj0bVrV6ioqODSpUtwd3fHmjVrsGvXLrRp0waGhobIy8vDs2fPEBcXB11dXYFAb+LEiQgLC8PBgwdha2sLJycn6OrqIiIiAk+fPoWSkhKOHDnCn0yHx9fXF3369MGdO3dgaWmJrl27Ql9fH+/evUNMTAxSU1MlGu/l4+ODwYMH488//8Tx48fRsmVLfPjwATdv3oSDgwP09fURFhYmUCY4OBibNm2Cjo4OrK2toauri5ycHNy5cwcfPnyAgYGBUFfDQYMGYe3atejRowe6d+/OXxZj9erV0NbWLreN7dq1w8qVKzF37lx4enqiU6dOMDc3x/Pnz3H//n3MmDEDGzZsqPBYpaWq11oSq1atQkpKCo4cOYJ27dqhbdu2aNKkCeTk5JCUlISoqCjk5ubCz89PKhMSDRo0CIGBgRg5ciRcXV35y27MmTMHzZo1E1tuzJgx2LRpEyIjI2FmZgYHBwfIysri5s2b+Pz5M6ZNm4ZNmzYJlTM2Noatra3A+1ZRURE6OjpYtWpVuW3t3bs3Fi5ciGXLlqFnz56ws7ODsbExnjx5goiICMjKymLnzp0iux4T8i3TbKSBjaHLsajfKjy596LC7bmK8pj17yR0H2ZfC60jtarullgkhJDvX0lJCTt69Cjr378/09fXZ1wul6mpqbHWrVuzWbNmiV3YOyUlha1atYr16dOHmZmZMWVlZaampsZatGjBJk+ezJ48eSKy3O7du5mNjQ1TVlbmL6r99SLp2dnZbM2aNaxLly5MQ0ODycvLs8aNG7MOHTqwOXPmsLCwMJF1HzlyhDk7O/PLGBkZMW9vb7FtYYyxgoICtmPHDubg4MA0NDQYl8tlhoaGrGfPnmzbtm0C25a36HtISAhzcXFhOjo6TFlZmbVq1YotX76cFRQU8BcQDwwM5G8fGRnJ5s2bx+zt7ZmBgQHjcrmsYcOGrH379mzFihXs48ePQvv4/Pkzmzt3LrOwsGBcLpd//sRdI1HOnTvH7O3tmYqKCmvQoAHr2rUrO3nyZLkLtfP287XyzgdjjHl5eYm8vmVV9lpXtM+yLl++zDw9PZmBgQGTl5dnGhoarHnz5uynn35iR44cYbm5ufxtyzt+HnGL3ZeUlLCVK1eyli1bMkVFRf754l3v8upOTU1lkyZNYubm5kxBQYHp6+uzkSNHsufPnzNfX18GgHl5eQmVe/XqFRs+fDhr3Lgxk5OTE6q/ovPk5+fH+vTpw7S1tZmcnBzT09NjQ4YMYXfv3hW5vah7uKzKXBeerKwsWhycSF1JSQm7c+kB+8N9BXOVHSK02P0I01/ZkRWnWcaHzFppD93ntY/D2Dc0jRchhBBCCKlQdnY21NXVkZWVResckhrxLvEDnj94iU+ZueAqcqFjoIXWjs1rddZdus9rH3UrJYQQQgghhAjQM9WFnqluXTeD1DKakIYQQgghhBBCCAWHhBBCCCGEEEIoOCSEEEIIIYQQAgoOCSGEEEIIIYSAgkNCCCGEEEIIIaDgkBBCCCGEEEIIKDgkhBBCCCGEEAIKDgkhhBBCCCGEgIJDQgghhBBCCCGg4JAQQgghhBBCCCg4JIQQQgghhBACCg4JIYQQQgghhICCQ0IIIYQQQgghoOCQEEIIIYQQQggoOCSEEEIIIYQQAgoOCSGEEEIIIYSAgkNCCCGEEEIIIaDgkBBCCCGEEEIIKDgkhBBCCCGEEAIKDgkhhBBCCCGEAJCr6wYQQgghhBDyvSkpKcXtu/F49vwdCguLoazMha2NKVo0N6jrphFSZRQcEkIIId8gU1NTvHr1SiCNy+WiUaNG6NKlC6ZMmQIHBwd+nre3N/bv3w9fX194e3vXcmsJqT8KC4tx/NR9XLgUiQ+pOQJ5vgduwdKiEQYPtIVrj1Z11EJCqo6CQ0IIIeQbZmdnBwsLCwBAZmYmwsPDcfz4cZw4cQJr167FzJkz67iFhNQfubkFWLDoJB4+ShK7zfMX77Hy70t4HJeM6VN6gsPh1GILCakeCg4JIYSQb9j48eMFngTm5+dj4sSJOHDgAObOnQt3d3c0bdq07hpISD1RUlIKn7/OlBsYlnX+YiRUGyhi/BjHGm4ZIdJDE9IQQggh3xFFRUVs27YNKioqKCkpwenTp+u6SYTUC6G3n+NB5KuKNyzj6PE7SP2YU/GGpEYdPnwYRkZG0NTUFOptkZiYiKZNmyI7O1uiuk6dOoXu3btDU1MTSkpKaNasGcaOHYvIyMiaaHqto+CQEEII+c40aNAAzZo1A/Dli83XEhISMGrUKOjp6UFBQQHm5uZYuHAhCgoKhLbNycnB7t274enpCUtLS6ioqEBFRQWtW7fGH3/8gczMTLHtePXqFby9vaGnpwdFRUVYWlrCx8cH+fn5cHZ2BofDQVBQkFC5vLw8rFq1CjY2NlBVVYWysjJatmyJhQsXIiMjQ+S+Hjx4gKFDh8LQ0BBcLhdqampo0qQJBg0ahHPnzoks899//8HFxQVaWlpQUFCAiYkJxo4di2fPnonc3tTUFBwOB4mJifDz84OzszPU1dWhqakJd3d3xMTE8Lc9cuQIunTpAlVVVWhoaMDT0xPx8fFiz1VycjJmzpyJ5s2bQ1lZGaqqqujQoQO2bt2K4uJiseXIt+Pchcp/+S8tZbhwKUr6jSES+/jxI8aPH4+1a9fi2rVrOHToEC5evMjPnzRpElatWgU1NbUK6/r9998xdOhQtGvXDufPn8fTp09x5MgRNGnSBPPnz6/Jw6g1FBwSQggh3yHer9wKCgoC6VFRUWjXrh1u3rwJJycnODo6IiUlBcuXL8dPP/0kVE90dDQmTJiAW7duQU9PDx4eHrC3t0dKSgpWrFiBDh06IC0tTahcbGwsbG1tsX//fsjKyqJ///5o1qwZ1q1bh549e6KoqEhku9PT02FnZ4f58+cjPj4e3bt3R58+ffDhwwcsX74c7du3Fwp4/f390aVLFxw/fhw6Ojro378/evTogYYNG+LSpUvw9fUV2J4xBi8vLwwbNgwhISGwtraGp6cnFBUV4evrC2tra1y5ckXsuf3nn3/Qt29fFBcXw83NDbq6urh06RIcHR0RHx+PuXPnwsvLC8rKynBzc4OamhrOnDkDR0dHkcFtSEgIWrVqhQ0bNiA/Px89e/aEnZ0d4uPjMXXqVPTt21fs+SLfhnfvsxAZXbmnhjx+1x5KuTWkMl6+fAl1dXUMHToUHTp0QLdu3RAXFwcAOHr0KOTl5eHp6VlhPXfu3MGaNWuwfv16rF+/Hg4ODjA2Nkb79u2xcOFC+Pn5CWx/7tw52NjYQFFREU2aNMGSJUsEfgjicDjYs2cPBg4cCGVlZVhaWuL8+fMCdTx69Ai9e/dGgwYN0KhRI4waNQofP37k5588eRKtW7eGkpIStLW10aNHD+Tm5lbndAGMEEIIId8cExMTBoD5+voK5UVHRzMZGRkGgO3du5cxxpiXlxcDwACwP/74gxUXF/O3j4mJYSoqKgwACwsLE6jrzZs37MaNG6ykpEQgPTc3l40ePZoBYJMmTRJqg42NDQPAfvrpJ5afn89PT0pKYs2aNeO3JTAwUKDc0KFDGQDWqVMn9vHjR356Tk4O6927NwPAunbtKlCmW7duDAA7dOiQUDsyMzPZ7du3BdJ27NjBADAdHR0WGRnJTy8tLWU+Pj4MANPQ0GAfPnwQKMc75woKCuzGjRv89OLiYjZkyBAGgLVq1Yppa2uzqKgogXPVtWtXBoAtW7ZMoM6UlBSmra3NOBwO2759u8B5/vjxI+vevTsDwJYsWSJ0bGXl5+ezrKws/uvNmzcMAPv48SMrLCykVw2/7ofHM2fXVVV+5eV9rvNj+B5fHz9+ZABYVlZWue+P8qSnpzNVVVUWERHB0tLSmJmZGbty5QpLT09n5ubm7PXr1xLV89tvv7EGDRqwoqKiCrcNCQlhampqbN++fSw+Pp5du3aNmZqassWLF/O3AcAMDQ3ZkSNH2PPnz/n1p6WlMcYYy8jIYA0bNmTz589ncXFxLCIigvXs2ZN169aNMcZYcnIyk5OTY+vXr2cJCQns4cOHbNu2bSwnJ6cKZ+n/cP5/4wghhBDyDeEtZVF2aYqsrCyEhobit99+Q3x8PPT19fHs2TOoqKjwl7Jo37497t+/LzRD4q+//oqdO3di6dKl+PPPPyVqQ15eHr9b5YcPH/jpN2/ehKOjIxo0aIBXr15BS0tLoNylS5fg7u4OAAgMDISzszMA4PXr1zAzMwNjDFFRUWjTpo1Aubdv38LCwgL5+fkIDQ1F165dAQAtW7ZEbGws0tPToampWWG7LSwsEB8fj82bN2Pq1KkCeYwxtGvXDg8fPsTy5cuxYMECfh7vnM+ZMwdr1qwRKBcZGQkbGxsAwLZt2zBp0iSB/NOnT2PQoEHo1q0bAgIC+Onz5s3D6tWrMWXKFGzZskWorW/fvoWZmRk0NDTw/v17sTNbLl68GEuWLBFKP3LkCJSVlSs4I6S6Xifl4vT5N1UuP2VCU8jJUYe9ysrLy8Pw4cORlZUlUbdPcc6cOYNFixbh8+fPGDlyJBYvXoxx48ahdevWsLGxwbRp01BUVITFixdj8ODBIuvo3bs3kpOTER0dzU9bv349Fi1axP//27dvoa6ujh49esDFxUWgq+mhQ4cwd+5cJCcnA/jy5HDhwoX466+/AAC5ublo0KAB/Pz84ObmhmXLluHmzZu4evUqv46kpCQYGRnh6dOn+PTpE7+nhYmJSZXPzddotlJCCCHkGzZmzBiMGTNGKN3c3BynTp2CioqKQLq7u7vIAKN58+YAvnx5ESUsLAw3b97E69evkZeXB95vx1wuF6mpqcjIyOAHZsHBwQAANzc3ocAQAPr27QsNDQ2h8YohISEoLS2FjY2NUGAIAAYGBujVqxfOnTuHwMBAfnDYsWNHxMbGYsSIEViwYAE6d+4MOTnRX2GSkpL4Y/+8vLyE8jkcDsaMGYMZM2YgMDBQIDjk6dOnj1CapaWlRPm8L348ly5dAgAMHTpUZHsNDAxgaWmJ2NhYPH/+XOzMs/PnzxeYSCM7OxtGRkZwdXWt1pdmIpmExI84ff5AlcoqK3PRr5+7lFtUP0g6SUxFBg4ciIEDB/L/HxwcjIcPH2LLli2wsLDA0aNHoaenh44dO8LR0RG6uroS1Tt27Fj069cPd+/exciRI/mfm9HR0QgNDcXy5cv525aUlCA/Px95eXn8H3TKfg6qqKhATU2N/0NcdHQ0AgMD0aBBA6H9xsfHw9XVFS4uLmjdujV69eoFV1dXDB48WKIf0MpDwSEhhBDyDSu7ziGXy4Wuri46d+4MNzc3kQGSsbGxyHp4AUR+fr5A+ocPHzBo0CDcunWr3HZkZ2fzv3QkJX2Zyt/U1FTs9iYmJkLBIS8wNTMzE1vO3NxcYFsAWLlyJR4+fAg/Pz/4+flBSUkJNjY2cHZ2xogRI/iBb9ly2traYoMmUfsoS9Q5LPsFTVS+qqoqAOHz+/LlSwCAg4ODyH2VlZqaKjY4VFBQEBpfCgDy8vKQl5evsG5SPU0tG8PMVAcJiR8r3vgr3Z2b0zWqopo4bwUFBZg0aRIOHjyIFy9eoLi4GE5OTgCApk2b4u7du/Dw8BAqZ2lpiVu3bqGoqIjfLg0NDWhoaPA/E3k+ffqEJUuWiBzLqKioyP/318fH4XBQWlrKr8PDwwOrV68WqqNx48aQlZXF9evXERYWhmvXrmHLli34448/cPfu3XI/YytCwSEhhBDyDft6ncOKyMhUruva+PHjcevWLXTp0gVLlixB27Ztoampyf/Soq+vj5SUFIgahVLe4t7SXPhbT08P4eHhCA4Oxo0bNxAaGoq7d+8iNDQUK1aswMqVK/H7779LbX8VncPKnGPeF73BgwcLPeX9mra2tsT1ktrX390GG7deq1I58u1YtmwZ3NzcYGNjg8jISIFJYoqKilBSUiKy3LBhw7BlyxZs374d06ZNK3cfNjY2ePr0Kf+HvaqwsbHBqVOnYGpqKranBIfDgZ2dHezs7LBo0SKYmJjgzJkzQst1VAYFh4QQQkg9lZubi8uXL0NGRgaXL1+GhoaGUP67d++EyhkYGAAQvYwGz6tXwjM78srxnqaJwsvjbcvD4XDg7OzMH7+Yn5+Pffv2YfLkyViwYAEGDx4Mc3Nzfrm0tDRkZ2eLfHoobh81wcjICM+fP8fvv/8OW1vbGt8fqTmuPVri+Kl7SE7JlLiMfVdLWJhL1kWR1LzY2FgcO3aMvyahlZUVZGRk8O+//0JPTw9PnjxBhw4dRJbt0qULZs2ahVmzZuHVq1fw9PSEkZERUlJS8O+//4LD4fB/OFq0aBHc3d1hbGyMwYMHQ0ZGBtHR0Xj06BGWLVsmUVsnT56M3bt3Y9iwYZg7dy60tLTw4sUL/Pfff9izZw/Cw8Ph7+8PV1dX6Orq4u7du0hNTRXoSVEVNDKWEEIIqaeysrJQUlICNTU1ocAQ+DKBgqgnho6OjgCAK1euiFy6wc/PT2S6o6MjZGRkEBUVJTCpA09KSgp/iYlu3bqV23ZFRUX88ssvaNOmDUpLS/Hw4ZflAgwNDfndRvft2ydUjjHGT69oH9LQu3dvAMDx48drfF+kZikpcbFq2RDoaAuPAROlZQsDLPidxhp+KxhjmDBhAtavX89/iq+kpIR9+/Zh6dKlGDduHLZu3Vruj0Zr167FkSNHEBkZCXd3d1haWmLIkCEoLS3F7du3+T9G9erVCxcvXsS1a9fQoUMHdO7cGRs2bKjUxDH6+voIDQ1FSUkJXF1d0bp1a0yfPh0aGhqQkZGBmpoaQkJC0KdPHzRt2hQLFy7EunXr+J851TlRhBBCCPnGlLeUhSi8pSzEbe/r68sAMC8vL35acXEx09TUZADYgQMHBLa/ffs2Pw8AS0hI4OeVlpaytm3bMgBsxIgRrKCggJ/39u1b1rx580ovZfHp0yfm7u4ucimLv//+m7169UromOLi4vhLdDx48ICfXnYpi7JLTpSWlrKlS5dWuJRF2WMti3dMoiQkJDAAzMTERCD9zZs3TENDg8nKyrK1a9cKnCuely9fsoMHD4qsV5ysrKxqT/FPqub9+yy2YNFJ1t1ttchlK9w81rENW66y/PzCum7qd4/u89pH3UoJIYSQekpWVhaLFi3CjBkzMHr0aGzbtg1NmjTB69evERYWhpEjRyIkJESoiyiHw8GhQ4fg5OSEw4cPIygoCHZ2dsjLy0NgYCDatWuHLl264Pbt2+ByuQJlt23bhidPnuDu3bswNzdHt27dICcnh+DgYKSmpsLMzAyHDx8WKLNs2TLMmTMHVlZWaN68OZSUlJCcnIxbt26huLgYo0eP5i8zAQATJ05EWFgYDh48CFtbWzg5OUFXVxcRERF4+vQplJSUcOTIETRs2LDmTu7/Z2hoiHPnzmHQoEGYPXs21qxZg1atWqFx48bIyspCXFwc4uPj0alTJ4wcObLG20OqT1dXDcuXDMK7d1m4cDkKz168Q35+EVRUFGBrYwa3nq3QoIFixRUR8g2i4JAQQgipx6ZPnw4zMzOsWbMGsbGxePz4MaysrLBt2zb88ssvYme9a9WqFR48eIBFixbh6tWrOHv2LIyMjDBt2jQsXLgQrVq1AgDo6OgIlNPW1kZYWBg2b96MY8eO4dq1aygtLYWZmRl+/vlnzJ49W2gq9m3btsHf3x/3799HcHAwcnNzoaenh549e2LChAno37+/wPYcDgcHDhxA7969sWvXLjx48IBfxtvbG/PmzUOzZs2keBbL5+joiMePH2Pr1q24dOkS7t+/j4KCAujq6sLY2BgjR47EoEGDaq09RDr09NTx81inum4GIVLFYUzEYAJCCCGEkCpKSEiAhYUFVFVVkZ6eXukZVEnFsrOzoa6uXu3FwQn5ltF9Xvvo05oQQgghlZabm4vHjx8Lpb969QojRoxAaWkpvLy8KDAkhJDvCHUrJYQQQkilpaamolWrVjA3N0fTpk2hpqaG169fIyIiAgUFBWjbti3++uuvum4mIYSQSqCf8wghhBBSaTo6Opg9ezbU1dVx//59nDp1Co8fP0abNm2watUqhIWFUTcwQsg3wdnZGdOnT6/rZnwXaMwhIYQQQsh3hsZikfpAWvd5eno65OXloaqqKsXWSS4xMRFmZmaIjIxEu3bt6qQNkqJupYQQQgghhJAflpaWVl034btB3UoJIYQQQgghP6yvu5WamppixYoVGDt2LFRVVWFsbIxdu3aVW8fJkyfRunVrKCkpQVtbGz169EBubi4/f8+ePWjevDkUFRVhZWWF7du38/N4SwJZW1uDw+HA2dlZqscnTRQcEkIIIYQQQuqVdevWwdbWFpGRkZg0aRJ+/fVXPH36VOS2KSkpGDZsGMaOHYu4uDgEBQXB09MTvNF5hw8fxqJFi7B8+XLExcVhxYoV+PPPP7F//34AwL179wAAN27cQEpKCk6fPl07B1kF1K2UEEIIIYQQUq/06dMHkyZNAgD8/vvv2LBhAwIDA9GsWTOhbVNSUlBcXAxPT0+YmJgAAFq3bs3P9/Hxwbp16+Dp6Qngy5PC2NhY/PPPP/Dy8kLDhg0BANra2tDT06vpQ6sWCg4JIYQQQggh9UqbNm34/+ZwONDT08OHDx9Ebtu2bVu4uLigdevW6NWrF1xdXTF48GBoamoiNzcX8fHxGDduHH7++Wd+meLiYqirq9f4cUgbBYeEEEIIIYSQekVeXl7g/xwOB6WlpSK3lZWVxfXr1xEWFoZr165hy5Yt+OOPP3D37l0oKysDAHbv3o1OnToJlfve0JhDQgghhBBCCCkHh8OBnZ0dlixZgsjISHC5XJw5cwaNGjWCvr4+Xr58CQsLC4EXbyIaLpcLACgpKanLQ5AIPTkkhBBCCCGEEDHu3r0Lf39/uLq6QldXF3fv3kVqaiqaN28OAFiyZAl+++03qKurw83NDQUFBQgPD0dGRgZmzpwJXV1dKCkp4cqVKzA0NISiouI32+WUnhwSQgghhBBCiBhqamoICQlBnz590LRpUyxcuBDr1q1D7969AQDjx4/Hnj174Ovri9atW8PJyQn79u3jPzmUk5PD5s2b8c8//0BfXx/9+/evy8MpF4fx5mAlhBBCCCHfhezsbKirqyMrKwtqamp13RxCagTd57WPnhwSQgghhBBCCKHgkBBCCCGEEEIIBYeEEEIIIYQQQkDBISGEEEIIIYQQUHBICCGEEEIIIQQUHBJCCCGEEEIIAQWHhBBCCCGEEEIAyNV1AwghhBBCCPnWpad9wqdP+VBQlEfDhmqQkeHUdZMIkTp6ckgIIYTUIg6HU+mXs7NzpfezePFicDgcLF68WOrH8K2r62PnXTfy/SsoKMKVy9GYNMEX//PcjLGjd2HE/7Zh1LDtOHIoDJmZuXXdREKkip4cEkIIIbXIy8tLKO3du3e4evWq2HwrK6sabxchRFBKSiYWzP0Pb16nC+W9f5eFvbuDcOzobSz5axDa2ZjWfgMJqQEUHBJCCCG1aN++fUJpQUFB/OBQVD75vsTFxdV1E0g1pad9wpzph/HuXVa52+V+KsAf847j7w0j0KKlQS21jpCaQ91KCSGEEEKkyMrKip72fuf27gmuMDDkKSgoxoa1l2u4RYTUDgoOCSGEkG+Ys7MzOBwOgoKCROZLMr7u1atXGD16NBo3bgxFRUU0bdoUixcvxufPn8WWefbsGSZOnAhzc3MoKipCXV0djo6OOHToUIXtvHnzJjw8PNCwYUPIyMgIPA3Ny8vDxo0bYW9vD01NTSgoKMDExAQeHh44cuSIQJ2mpqbgcDhITEwUuU9vb29wOJxKP229evUq3N3doaurCy6XC319fQwdOhTh4eEit8/KysLChQvRunVrqKioQEFBAfr6+rCzs8OiRYtQVFQksL24MYcpKSmYNm0amjZtCkVFRSgrK8PIyAguLi5Yu3ZtpY6B1JxPOfkI9H9cqTIJL1MRE/26hlpESO2hbqWEEELIDywhIQHt27eHnJwcHB0d8fnzZwQGBmLJkiW4ceMGbty4AUVFRYEyJ06cwOjRo5Gfnw8rKyv06dMHWVlZuHv3LkaNGoWAgADs3btX5P5OnDiBnTt3wsrKCj169EB6ejoUFBQAAG/evIGbmxtiY2OhrKwMOzs7aGtr4+3bt7h58yZiYmIwfPjwGj0ff/75J5YtWwYOh4OuXbvC2NgYcXFxOH78OE6dOoVdu3Zh7Nix/O3z8vJgb2+PR48eoWHDhnBxcYGKigrevXuHJ0+eICwsDDNnzoSGhka5+3337h1sbW2RnJwMY2NjuLm5QVFREcnJyYiKisKDBw8we/bsGj12IpnAgFgUFBRXupzf5Wi0bmtcAy0ipPZQcEgIIYT8wA4cOID+/fvj6NGjUFJSAgAkJSXBxcUFoaGhWLJkCVauXMnfPiYmBqNGjQKHw8GpU6fg6enJz3v16hU8PDzg6+sLZ2dnjB49Wmh/27dvx7Zt2zBp0iSB9NLSUnh6eiI2Nhaurq44dOgQGjZsyM/Pz89HQECAtA9fwJUrV7Bs2TIoKiri/Pnz6NmzJz/v33//xfjx4/HLL7+gU6dOaNmyJQDg5MmTePToEXr37o1z585BXl5e4Jhu3rwJZWXlCve9a9cuJCcnY8KECdi5c6fAk8WioiKEhISUW76goAAFBQX8/2dnZ/PLfv3kklTP27fCE9BIIiU5k66FlNH5rH0UHBJCCCE/MCUlJezcuZMfGAKAoaEh1q1bBw8PD2zfvh0+Pj78p4fLly9HQUEB1q5dKxAYAoCJiQn+/fdfdOzYEZs3bxYZHHbv3l0oMASACxcuIDw8HI0bN8apU6fQoEEDgXxFRUX06dNHGocsFq/r5qRJkwQCQwAYN24czp49i4sXL2LTpk3YtWsXAOD9+/cAgJ49ewoEhgAgIyMDJycnifbNq8fNzU2oy6m8vDxcXFzKLb9y5UosWbJEKP3atWsSBadEci/j31WpXHp6Gi5fprGH0pSXl1fXTah3KDgkhBBCfmCurq7Q09MTSnd3d4e2tjbS0tIQERGBrl27orS0FH5+fgCAoUOHiqzP1tYWDRo0QGRkJPLz84W6pA4ePFhkuStXrgAAhg8fLhQY1obi4mKEhoYC+DJWUZRx48bh4sWLCAwM5Kd16NABALBmzRpoa2vD3d0dWlpald5/x44dsX37dsybNw+MMbi6ulbqPMyfPx8zZ87k/z87OxtGRkZwdXWFmppapdtDxGMlUYgIv17pcs1bmNX4Dxz1De8JOak9FBwSQgghPzAzMzOxeaampkhLS0NSUhIAIC0tjf9lzMjIqMK609LSYGAgOH2/qampyG1fvXoFoO7WbExLS0N+fj4A8efE3NwcAPD27Vt+mrOzM37//Xf8/fff8PLyAofDgaWlJezs7NC/f394eHhARqbi+f1GjRqF69ev4/Dhwxg0aBBkZWXRokUL2NvbY/DgwejevXu55RUUFPhjN8uSl5cXeqJJqqdHz9bY808Q8vMr16Wxr7s1XQspo/NZ+yg4JIQQQr5jpaWl1a6DMSZUl5eXV4XlRAUrZbuv1jRpHLskVq1ahV9++QUXLlzArVu3EBoaCl9fX/j6+qJDhw4IDAyEiopKuXXIyMjg0KFDWLBgAS5duoTQ0FCEhoZix44d2LFjBzw8PHDmzBnIysrWyjER8RqoKsK5ewtcuRwtcRmzJg1pMhryQ6DgkBBCCPmGcblcAEBOTo7IfN4TOXESEhLE5vGWiDA0NAQA6OjoQElJCZ8/f8batWuho6NThRaLZmz85YvzkydPJC5T3WMvS1tbGwoKCigoKMDLly/Rpk0boW1evnwJAEJPQ4EvT0SnTp2KqVOnAgDu37+PkSNH4v79+1izZo3I8YCitGjRAi1atMCcOXPAGENAQACGDx+OCxcu4MCBAxgzZozEx0RqzrifnRAVkSjRWocKCnKYMZu6k5IfA61zSAghhHzDeIFKXFycUF5eXp7A+DhRrl27hg8fPgilX758GWlpaVBVVUX79u0BALKysvyJWo4fP17dpgtwc3MDABw9ehS5ubkSlSnv2N+9e4eIiAiJ9y8nJwd7e3sAELsuIm95jm7dulVYX4cOHfgT70RFRUncjrI4HA5cXFz4y3dUtR4ifZpaDfD3xhEwMi5/fGmDBopYvup/aNFS+AcFQr5HFBwSQggh37AePXoAALZt2yYwFi43NxcTJkzAmzdvyi3/+fNn/PrrrwIL3icnJ2PWrFkAgF9++UVgUhkfHx9wuVzMmTMH+/fvF9l189GjRzh9+nSljqNfv36wtrZGcnIyhgwZgrS0NIH8/Px8/mQ4PLxjX716NTIzM/npqampGD16ND59+lSpNvCOeceOHfD39xfI27dvH86fPw95eXlMmzaNn37mzBmEhIQInYeioiL+JDsmJiYV7vvAgQN48OCBUHpOTg6CgoIkrofUnsaNNfDPnvGYM88dTZs1FsjT01PHuAnO2Hd4ItrZmNZNAwmpAdStlBBCCPmG/e9//8PGjRsRHh6Oli1bwt7eHqWlpQgPDweXy8XYsWPFLkgPAKNHj8bFixfRpEkTODg48NcTzM3NRZcuXYS6Q9rY2ODQoUPw9vaGt7c3Fi5ciBYtWqBhw4ZIT09HTEwMkpKSMHToUKGlLsojIyODM2fOoFevXvDz84OxsTHs7e2hra2Nt2/fIjo6GhoaGvyurgAwefJk7N69GxEREWjWrBm6dOmC3Nxc3L9/H8bGxhgwYADOnj0rcRt69+6NhQsXYtmyZejZsyfs7OxgbGyMJ0+eICIiArKysti5cyd/jUMACA4OxqZNm6CjowNra2vo6uoiJycHd+7cwYcPH2BgYIC5c+dWuO/Tp0/Dy8sL+vr6aNeuHTQ1NZGRkYHQ0FBkZWWhVatW+PnnnyU+FlI7uApy6NW7DXr1boP0tE/49Ckfikpc6OioQkaGU3EFhHxn6MkhIYQQ8g2Tl5fH9evXMWXKFKiqquLatWt4+PAhBg4ciIiIiApnFTUzM0N4eDi6deuGkJAQXL16FY0bN8aiRYtw48YNkRPIDBkyBI8fP8aMGTOgoaGB0NBQnDp1CrGxsbCwsMCqVauwfPnySh+LiYkJwsPDsXr1arRs2RK3b9/G6dOn8erVKzg5OWH16tUC2/P2zVtP0c/PD/Hx8ZgwYQLCwsKgrq5e6Tb89ddf8PPzQ+/evREXF4fjx4/zn2aGhYVh7NixAtt7e3tj3rx5sLKyQmxsLE6cOIHbt2/DyMgIK1asQHR0NH/MZnlmzZqF6dOnw9DQEBEREThx4gQiIiLQokULbNmyBXfu3IGqqmqlj4fUHi3tBjA20YGurhoFhuSHxWG8KcoIIYQQQsh3ITs7G+rq6sjKyqJ1DskPi+7z2kdPDgkhhBBCCCGEUHBICCGEEEIIIYSCQ0IIIYQQQgghoNlKCSGEEEIIIURAVlYWXr58icLCQnC5XDRp0qRKk2B9byg4JIQQQgghhBAAb9++RUhICJ49ewYA4HA44M3f2bRpUzg6OsLAwKAum1ijqFspIYQQQgghpN6Li4vD3r178fz5c35a2YUdnj9/jr179yIuLq5G9h8SEgIPDw/o6+uDw+EIreO6ePFicDgcgZeVlZVU20DBISGEEEIIIaRee/v2LU6ePInS0lKIW+mPMYbS0lKcPHkSb9++lXobcnNz0bZtW2zbtk3sNi1btkRKSgr/devWLam2gbqVEkIIIYQQQuq1kJAQsUHh1xhjuHnzJn766SeptqF3797o3bt3udvIyclBT09Pqvsti54cEkIIIYQQQuqtrKwsPHv2rFLB4dOnT5GVlVXDLRP2/Plz6Ovro0mTJhgxYgRev34t1fopOCSEEEIIIYTUWy9fvqxSuYSEBCm3pHydOnXCvn37cOXKFezYsQMJCQlwcHBATk6O1PZB3UoJIYQQQggh9VZhYaHArKSS4HA4KCgoqMFWCSvb5bRNmzbo1KkTTExMcPz4cYwbN04q+6Anh4QQQgghhJB6i8vlViowBL50LVVQUKihFklGQ0MDTZs2xYsXL6RWJwWHhBBCCCGEkHqrSZMmVSpnZmYm5ZZUzqdPnxAfH4/GjRtLrU4KDgkhhBBCCCH1lrq6Opo2bQoOhyPR9hwOB82aNYO6urpU2/Hp0ydERUUhKioKwJcxjVFRUfxJZ2bPno3g4GAkJiYiLCwMAwcOhKysLIYNGya1NtCYQ0IIIYQQQki95ujoiBcvXkjUvZTD4cDBwUHqbQgPD0e3bt34/585cyYAwMvLC/v27UNSUhKGDRuGtLQ0NGzYEPb29rhz5w4aNmwotTZwWGU72BJCCCGEkDqVnZ0NdXV1ZGVlQU1Nra6bQ0iNqO37PC4uDidPngRjTGSQyOFwwOFwMHjwYDRv3rzG21MXqFspIYQQQgghpN5r3rw5xo4dC0tLS35a2a6mTZs2xdixY3/YwBCgbqWEEEIIIYQQAgAwMDDAsGHDkJWVhYSEBBQUFEBBQQFmZmZSH2P4LaLgkBBCCCGEEELKUFdXR7t27eq6GbWOgkNCCCGEEEJEyCjMwq2Pd5FakI6CkkIoySpCX6kR7HU6QllOqa6bR4jUUXBICCGEEEJIGbFZz3D1fRDup0ejhJUI5R96dRr2Oh3hpucMYxWDOmghITWj0hPSmJqa8mfqKe+1b98+qTTQ2dkZHA4HQUFBlS7La2tiYqJU2lIR3rF/rTrHIEptH1dleHt7i7z++/btA4fDgbe3d43tuzb2UZOCgoLA4XDg7OwslCfu3vqW1Pb5570PKvqs4b3/Fi9eLJX91uU9Xp663j+RTHnv85qSmJgIDocDU1PTSpWT9t8uAMjMzMTkyZNhYmICLpdb6+dCUt/y31lSs0pZKfYlHMeS2PW4kxYhMjAEgILSAvh/uInfHy7H1XdBtdtIQmpQlZ8c2tnZwcLCQmx+eXnSsHjxYixZsgQ+Pj5S+9JHCCGkZgQFBaFbt25wcnKSarBBvi8TJkzAiRMnYGpqCk9PTygqKsLKyqpW2+Dt7Y39+/fD19eXfkwhQnbFH0JgapjE25eiFHsT/kNhaRE89HvWYMsIqR1VDg7Hjx9fKx+qBw4cQF5eHoyNjWt8XzXlRziG78HAgQPRuXPnH3Imqbi4uLpuQoV+5PMvifp+/OTbZWBggLi4OMjLy1eqnLT/dhUVFeHMmTNQVFREdHT0N702n7+/P4qKimBgQN0F65MLydcqFRiWdfjVaRgo6cFGs7WUW0VI7frmxxz+CAHVj3AM3wN1dfUf9ot5bf+yXhU/8vmXRH0/fvLtkpeXr9JniLT/dqWkpKC4uBgGBgbfdGAIAObm5nXdBFLLikqLcP7t9SqXZ2A4nXSZgkPy3av0mMOqKjtmavfu3Wjfvj1UVFSgoaGBPn364M6dOyLLiRrzwOFwsGTJEgDAkiVLBMY6inuaGRgYCFdXV2hqakJJSQk2NjY4cOBAuW0+efIk3Nzc0LBhQ3C5XBgYGGDkyJGIjY2t1LGLG7eRmpqKzZs3o0+fPjAzM4OSkhLU1NRga2uL1atXIz8/v1L7kURAQACGDBkCQ0NDKCgooGHDhujQoQN8fHyQlpYmtP2zZ88wceJEmJubQ1FREerq6nB0dMShQ4ek3jZRHjx4gKFDh8LQ0BBcLhdqampo0qQJBg0ahHPnzglsW9GYq3PnzsHBwQGqqqpQV1eHk5MTLl26JHY8Ttl0xhh27drFv2/V1dXh6uqK27dvi9zXvXv3MHfuXHTs2BF6enrgcrlo1KgRPDw8cOPGjUqfB3FjDsuOi6nsPZ6WlobffvsNxsbGUFBQgImJCaZPn47MzEyx4+rKI+78lx1jVVRUhNWrV6Nly5ZQUlKCtrY2PD096/TJqLTu8Yruv7dv32LOnDlo3bo1VFVVoaKigqZNm8Lb2xthYcK/VCclJWHq1KmwtLTkt8vOzg7//PMPSkpEj4HhSUtLw+TJkwWu7YwZM5CRkSFy+9OnT2P8+PFo1aoVNDU1oaioCDMzM4wdOxZPnz4td1+SfKY4OzujW7duAIDg4GCBz2xR4+D8/f3h6emJxo0bg8vlQldXFwMHDhT7fiv7/vD19UWXLl2grq4u8Zixsvd7dHQ0PD090bBhQygpKaFNmzbYtGmT0Dn38vICh8PBypUrxdZ7/PhxcDgcdOzYscI28Dx58gRjxoyBiYkJFBQUoKWlBRcXFxw/flzk9osXL+aPqX39+jXGjRsHIyMjyMvL8+9FaY85LHu+EhISMGrUKOjp6UFBQQHm5uZYuHAhCgoKBMpwOByYmJgAAF69eiVwD3xdf2WvPwDk5eVh48aNsLe3h6amJv++9/DwwJEjRwTOw/79+wEAY8aMEWhH2SEq5Y05zMvLw6pVq2BjYwNVVVUoKyujZcuWWLhwocj3WHX+lpDacyctAtnFOdWq4/mnBCTkvpZSiwipG7X+5HDmzJnYuHEj7Ozs0L9/f8TExMDPzw/Xr1/H8ePHMXDgwArr8PLyQlRUFKKjo9G2bVuBNUjs7e2Ftt+7dy+WLVsGGxsbuLm5ITExEXfu3IGXlxfS09Mxffp0ge2Li4sxYsQIHD9+HAoKCmjfvj0MDAzw7NkzHD58GKdPn8bp06fh5uZWrXNx9epVTJs2DQYGBrCwsEDnzp2RmpqKu3fvYt68eTh37hwCAwOhoKBQrf3w/Pbbb9iyZQsAoF27dnBwcEBWVhaePn2KpUuXolu3bgITA5w4cQKjR49Gfn4+rKys0KdPH2RlZeHu3bsYNWoUAgICsHfvXqm0TRR/f3/07t0bRUVFaNu2Lbp06YKSkhK8ffsWly5dQklJCfr37y9RXWvWrMHvv/8OAOjUqROaNGmCFy9ewN3dHXPnzq2w/JgxY3DkyBE4ODjA3d0dUVFRuH79OkJCQhAcHIxOnToJbL9gwQIEBgaiZcuW/C8B8fHxuHjxIi5evIiNGzdi2rRplT8pYlT2Hk9JSYGDgwPi4+OhpaUFd3d3lJaW4sCBA7hy5QqaN28utbbxFBUVoU+fPggLC4OjoyOaN2+Oe/fu4cyZMwgMDERkZGSlv7xWV23d4/7+/hg8eDAyMzOhq6sLFxcXcLlcJCYm8r+4du3alb/9/fv34ebmhvT0dBgbG2PAgAHIyspCUFAQwsLCcObMGZw/fx5cLldoXxkZGejUqRPS0tIEvtxv3LgRfn5+uHnzJho2bChQ5n//+x8UFBTQokULdO/eHcXFxXj06BF8fX1x/PhxXLt2TaB9PJJ+pri5uUFRURFXr15Fo0aNBD47dXR0BOqcPXs21q1bBxkZGdja2sLBwQGvX7/GuXPncOHCBezevRtjxowReZ6nTp2K7du3o2vXrujbty9evnxZqYmc7t27h19//RV6enpwcXFBRkYGgoKCMH36dNy6dYsf7AHAtGnTcODAAezcuRNz586FrKysUH3btm0DAEyZMkWi/V+6dAmDBw9Gfn4+mjVrBk9PT3z48AHBwcEICAjA1atX8e+//4os+/z5c1hbW4PL5cLOzg6MMaFzK21RUVGYNm0aNDU14eTkhPT0dISGhmL58uV4/Pgxzpw5w9/Wy8sLnz59wqlTp6CiooLBgwfz8/T09Pj/rsr1f/PmDdzc3BAbGwtlZWXY2dlBW1sbb9++xc2bNxETE4Phw4ejQYMG8PLywq1btxAfHy80d4Ik65mlp6fDxcUFUVFRUFNTQ/fu3SEvL4/g4GAsX74cR44cQUBAgNjPssr+LSG159q7YKnVM9F8lFTqIqROsEoyMTFhAJivr2+lygFgAJiSkhLz9/cXyFuzZg0DwNTV1dn79+8F8pycnBgAFhgYKJDu4+PDADAfH58K2yovL88uXLggkOfr68vfZ15enkDeggULGADWqVMn9vLlS4G8EydOMFlZWaapqckyMjJEHuPXxB1DbGwsu337ttD26enpzNXVlQFga9asEXtcCQkJYo/9a5s3b2YAmLa2NgsICBDKv3v3Lnv9+jX//w8fPmQKCgpMUVGRnTp1SmDbxMRE1rp1awaA7d+/XyDPy8tL5P3BO99eXl4St7lbt24MADt06JBQXmZmptC5E7ePiIgIJisry2RlZdnp06cF8o4fP85kZGQYAGZiYiKQl5CQwL+mJiYm7OnTp/y84uJiNnbsWAaAubq6CrXv8uXLLDk5WSg9LCyMqampMXl5eZaUlCSQFxgYyAAwJycnoXLi7q2q3uMDBw5kAJizszPLysrip2dkZDB7e3v+/irzPhd3/nnHBYBZW1uzlJQUft7nz59Zr169GAA2YcIEiffFmOSfRbz339efFbV1j79+/Zqpq6szAGzevHmsoKBAIP/9+/fs5s2b/P/n5+fzj+2XX35hhYWF/Lz4+HhmamrKALAFCxaI3D8A1rlzZ5aWlsbPy8jIYF27dmUA2E8//SR0jv777z/26dMngbTS0lK2bds2BoC1bNmSlZaWCuRX9jOlvPubZ9euXQwAs7CwYNHR0QJ5wcHBTFVVlXG5XPbs2TOBPN5xq6mpifxMrQjvmgJgkyZNYkVFRfy8R48esYYNGzIAbOfOnQLl7OzsGAChzxXGGIuJiWEAWMOGDVl+fj4/Xdx5ePfuHf8+WbZsmcD5vn//PtPU1GQA2K5duwTK8f4WAmAjR44U2BcP77Ps68+4ioj721X2fP3xxx+suLhY4LhVVFQYABYWFlapdlTl+peUlDBbW1v+Z/GHDx8Eyn3+/JldunRJZPvL++wQ93d26NCh/O8HHz9+5Kfn5OSw3r17MwCsa9euIo+7Kn9LypOVlcUACHyGk6opLi1m/wubKJXX9IhFdX04PxS6z2tflYPDil7iAqfp06eLrJf34b58+XKBdGkEhzNnzhSZb2VlxQCwkJAQflpaWhpTUlJiioqKQl/eeSZNmsQAsC1btog8xq+JO4byPH36lAFgHTp0EHtckgaHRUVF/C83X38JFof3B3Dt2rUi8+/du8cAsPbt2wukSzM4bNGiBQPA0tPTJdpe3D54f3iHDRsmstzgwYMrDA7Pnz8vVC4lJYUBYAoKCgJf4Csyf/58BoBt27ZNIL06wWFl7vHExETG4XCYjIwMi4uLEyoTExPDOByO1INDDofDoqKihMrduXOHAWBNmjSReF+MSf5ZxHt9/VlRW/f49OnTGQDm4eEh0XEdPHiQAWD6+voiv+ifPHmSAWCqqqrs8+fPQvsHwCIjI4XKPXz4kH/d37x5I1FbGGOsS5cuDAB7/PgxP60qnykVBYclJSVMX1+fAWDh4eEit+H9kDhr1iyBdN5xL126VLKD+grvmjZu3FjgnPJs2bKFAWCWlpYC6cePH2cAmIuLi1CZiRMnMgBs/vz5AunizsNff/0l8n7jWbt2rcg28P4WamlpsczMTJFlayo4bN++vdCPBowx9ssvv4i8HuW1o6rX/+zZs/xrl5OTI9FxVTU4fPXqFZORkWEcDkcoeGWMsaSkJKaoqMgAsNDQUH66tP6W5Ofns6ysLP7rzZs3DAD7+PEjKywspFc1Xmm56VILDsffm13nx/MjvT5+/EjBYS2rsaUsRHV3Ar50LRFl9OjRCA8PR1BQEBYsWFDVZonk4eEhMr158+Z48uQJ3r59y08LDAzE58+f4eLiInaWMmdnZ2zfvh1hYWESdxcSp6SkhN9VLCUlBZ8/fwb7ErQDQIXjfSTx4MEDpKamQkdHR6Juu6WlpfDz8wMADB06VOQ2tra2aNCgASIjI5Gfnw9FRcVqt/NrHTt2RGxsLEaMGIEFCxagc+fOkJOr/C0bHPylq8iIESNE5o8YMQInT54UW15OTk5kF2I9PT1oamoiIyMDaWlpAl2jgC/jvi5duoRHjx4hIyMDRUVFAL50/wKkc215KnOP37x5E4wxtG/fXuQkFa1atUKbNm0QHR0ttfYBXya3aNu2rcg2AhBoY2VU9Fl05coVvH//XiCtNu/xK1euAPgyhb8keOOvfvrpJ5Fdyj09Pfn33YMHD2BnZyeQ/3VXe57WrVvD2toaERERCAkJwfDhwwXyX7x4gStXruDFixfIycnhj7HjnbunT5+iRYsWACr/mSKJyMhIJCcnw9zcHO3btxe5Da/bu6gxmgAEuipWxf/+9z+R19nLywtTp07F8+fPkZycDH19fQBfZqg1MjKCv78/njx5wn8/ZWVl4dChQ5CVlcWvv/4q0b55113c38hx48Zh9uzZQm3g6dGjR61PiOTu7i6y225V3tNVvf689xev22hNCgkJQWlpKWxsbNCmTRuhfAMDA/Tq1Ys/JOTrrthV/VvCs3LlSv58C2Vdu3YNysrKVTwqAgCFnCKgYcXbSaKooBCXL1+WTmUEeXl5dd2EeqfWl7IwMzMrNz0pKamqTRJL3IxrvNnSyk788vLlSwBfxghVNFYlNTW1Wu16/vw5Bg4ciMePH4vdJjs7u1r7AL4M/geAZs2aSTT+Ji0tjb9fIyMjibaviem+V65ciYcPH8LPzw9+fn78SVacnZ0xYsQIicfF8e4pcWNAKhrn1rhxY7FTwKupqSEjI0No8qDdu3djxowZyM3NFVuvNK4tT2Xu8YrOBy+vJoJDUXht/HoCC0lV9Fnk7OwsFBzW5j3Oe/9JOlsk7wu1uM9KDocDMzMzZGRkiPzyLa4cLy8iIkLgc7akpARTpkzBP//8w/9RSpSy92tlP1MkwfvsjY+Pr/Jnb3XHrIo7d6qqqtDW1kZaWhqSkpL4gZmcnBwmTZqE+fPnY+vWrdi6dSsAYP/+/cjNzeUHj5Ko6LpraGhAS0sL6enpAm3gqe3xukDlPncqUtXrX9n3V3VUdI2A/5vlVNR7syp/S8qaP38+Zs6cyf9/dnY2jIyM4Orq+s3P/vqtK2WlOBMRgBJWWu26tBtooU+nPlJoFQGk+12JSOabW8qivC8nVSUjI/mkrKWlXz4YLCwshH6R/1p1/xgNHjwYjx8/5k+K0qJFC6ipqUFeXh6FhYVSm4imsnjnABD/K3ZZNdVOPT09hIeHIzg4GDdu3EBoaCju3r2L0NBQrFixAitXruRPMiMJcV84KvoiUpn7B/jyVGXixImQlZXF6tWr4eHhAWNjYygrK4PD4WDXrl2YOHGiVO/1yrYRKP+4pfWFv6yqtLGmfCv3eF0pe+9t2rQJO3fuhJ6eHtavX4+uXbuiUaNG/Cdow4cPx9GjR2vks7ks3jXR09NDr169yt1W3EQrSkpKUm/X174+Dz///DOWLl2KAwcOYOXKlWjQoAG2b98OQPKJaKShNo79a9J8T0vj+n/rqnu+FBQURH4WycvLV3oNSyLMRrMN7qdHVbuejlrWdD2kiM5l7av14DAhIUFklyfedNGGhoa126Cv8H7lbdasWaWm8a+sJ0+e4OHDh9DV1cWZM2eEukvyuh5KA+/X3WfPnoExVuEXfx0dHSgpKeHz589Yu3Ztnf4h5i2BwOtOlJ+fj3379mHy5MlYsGABBg8eXOF6VAYGBnj58iUSExP53eLKkmSq+8o4ceIEGGOYOnWqyJlQpXltq4L3BKy845b2OfnW1OY9bmxsjKdPn+LJkyfldn/l4V0f3pMUURISEgS2FZUniqjPWd4SCf/88w/69esnVEbU/VrZzxRJ8D57tbW1a/Sztzzizl1OTg5/WY6v/0Zpa2tjxIgR2LNnDw4cOICmTZvyu+B2795d4n0bGBjgyZMnYq97VlYW0tPT+dv+aKp6/Xn34pMnT2qiWQIkeW/y8n7Ea/Sjc23kVO3gUAYy6NHIQToNIqSO1PpP+QcPHiw3vexSCuXhjWksLi6WSrt4eFPMBwUF4cOHD1KtuyzeH3l9fX2R4+ikuY6gra0tdHR0kJqairNnz1a4vaysLHr27AkAYtfWqiuKior45Zdf0KZNG5SWluLhw4cVlnF0dAQA/pIBXxOXXlW8a8tb06us/Px8nDp1Sqr7qywHBwdwOBw8ePAAz549E8qPjY2VepfSb01t3uO8MUa7d++WaHveZ+CxY8dEdjE7c+YMMjIyoKqqKnJs1sOHD0W+Lx4/foyIiAjIyMjw3xNA+ffr48ePERUVJZRe2c8UoOLP7A4dOkBHRwexsbHldrWvSSdOnBDZvZn398nCwkLkl/7ffvsNwJelK3hdSydPnlypffOuO28Nvq/xllSxtLT8IQOPql5/3vvr6NGj5XbjL6uq3x8cHR0hIyPDX0rraykpKfwxkLx1Pcn3o7W6FfQVG1WrjvaaraGtoCmlFhFSN2o9ONyxY4fQgrcbNmzAvXv3oKqqinHjxklUD+/XW2l/iWjUqBGmTp2K3NxceHh4ICYmRmibgoICnD9/vlq/VDZt2hSysrKIiYkROh8XLlzAhg0bqlz31+Tk5PDHH38A+DIpRkhIiNA29+/fFxiH5OPjAy6Xizlz5mD//v0C3fB4Hj16hNOnT0utnV9bu3YtXr8WXkz2yZMn/KcZor7Qfm3KlCmQkZHBf//9h3PnzgnknT59WurBGm8s5P79+5GT838L6ubn52PSpEnlPtmpDaampvDw8EBpaSl+/fVXgTZmZWXh119/rfEuhN+C2rrHZ86cCVVVVZw/fx4LFy7kT0zE8+HDB9y6dYv//yFDhsDY2BjJycmYOXOmwBfYhIQEzJo1C8CXNf1ETZ7CGMOvv/4qsBh32es6aNAggXFwvPt127ZtAucgJSUFo0ePFvkFuiqfKbzP7OfPnwudA+BL1yEfHx8wxjBw4ECBc8JTUlKCgIAA3LlzRyhPGpKTkzF79myBBe/j4uKwdOlSAMCMGTNElmvdujW6d++OuLg4nD9/Hmpqahg9enSl9v3zzz9DTU0NERERWLFihcB7MDIyEsuWLQMAzJkzp7KH9V2o6vXv168frK2tkZycjCFDhvCf8PLk5+fzJ5/iqer3B2NjYwwZMgSMMUycOFFgX7m5uZgwYQLy8/PRtWtXkeuCkm8bh8PBSNNB4KBqPSGUZBXxPyPh3heEfG+q3K10z549QkFNWa6urkKz4QHAxIkT0b17dzg4OMDAwACPHj1CTEwMZGVlsXfvXrGzdH2tV69eUFFRwdmzZ2Fvbw9LS0vIysrCzs5O7ALJklq1ahVSUlJw5MgRtGvXDm3btkWTJk0gJyeHpKQkREVFITc3F35+flUed6ijo4MpU6Zg06ZNcHFxgYODA/T19fH06VNERERg4cKF/C8D0jBt2jQ8ffoUO3fuhJOTE6ytrdGsWTNkZ2fzuzIFBgby/2ja2Njg0KFD8Pb2hre3NxYuXIgWLVqgYcOGSE9PR0xMDJKSkjB06FB4enpKrZ1lLVu2DHPmzIGVlRWaN28OJSUlJCcn49atWyguLsbo0aNhY2NTYT3t27fHsmXLsGDBAgwYMACdO3dGkyZN8OLFC9y7dw+zZs3CunXrxM6wW1ljxozBpk2bEBkZCTMzMzg4OEBWVhY3b97E58+fMW3aNGzatEkq+6qqHTt24OHDhwgICICZmRmcnJzAGENwcDC0tbXRr18/sYus/yhq6x43NjbGyZMnMXjwYCxfvhx79uxBly5dIC8vj1evXiEyMhLDhw+Hvb09gC/jik6ePAk3Nzfs2LEDly9fRufOnZGTk4OAgADk5+ejV69e8PHxEbm/fv364dGjR2jSpAm6desGDoeDoKAgpKenw9LSkv9ki2fBggW4cuUKdu/ejcDAQNjY2CA7OxvBwcFo0qQJBg4cKLCYOU9lP1OMjY1ha2uL8PBwtG7dGra2tlBUVISOjg5WrVoF4MsPOa9fv8bff/8NBwcHtGzZEhYWFlBSUsK7d+8QFRWFzMxM7NixA507d67yNRHnl19+wZ49e3Dp0iV06tQJGRkZCAwMRGFhIQYOHFjuzKO//fYbAgICAHwZx1rZmTMbNWqEw4cPY8iQIfjjjz9w8OBBWFtb48OHDwgODkZxcTHGjBmDn3/+uVrH+C2ryvWXkZHBmTNn0KtXL/j5+cHY2Bj29vbQ1tbG27dvER0dDQ0NDYGu8gMGDMCSJUuwefNmPHr0CEZGRpCRkUG/fv1Edq0ua9u2bXjy5Anu3r0Lc3NzdOvWDXJycggODkZqairMzMxw+PDhmjxNpAa112yDsWY/YW/Cf2CQ/EdSeY48ZjSdAGOVH++pPql/qhwchoaGIjQ0VGy+hoaGyOBww4YNaNasGf755x/cv38f8vLycHNzw59//lmpX9oaNWoEPz8/LF26FA8ePMDt27dRWlrK/wNaHXJycjh8+DBGjhyJPXv24O7du3j06BFUVFTQuHFjeHh4oF+/fgJds6piw4YNaNOmDbZv344HDx4gKioKrVu3xn///YehQ4dKNTjkcDjYsWMH+vfvj507d+LOnTt49OgRNDQ0YGZmBi8vL6GpuYcMGYIOHTpg8+bNuH79OkJDQ1FSUoJGjRrBwsICU6ZMqfbU8eXZtm0b/P39cf/+fQQHByM3Nxd6enro2bMnJkyYgP79+0tc1/z582FlZYV169YhKioKjx8/Rtu2bXH27FloaWlh3bp1Uht3pqGhgfDwcPj4+ODq1avw8/ODtrY2XF1d4ePjI/IX8dqmr6+Pe/fuYcmSJTh37hwuXryIRo0aYdiwYVi6dCmGDBkC4Pud+EFStXWPu7q64tGjR1i/fj2uXLmCK1euQE5ODvr6+hg1apTQF/4OHTogKioKq1evhp+fH86cOQMFBQVYW1tj9OjRGD9+vNhlXTQ1NXHnzh38+eefuHTpEj58+IBGjRph5MiR8PHxgZaWlsD2nTp1Qnh4OBYuXIj79+/j/PnzMDIywtSpU7Fw4UJMnTpV5H6q8ply6tQpzJ8/H4GBgTh27BiKi4thYmLCDw4BYM2aNRgwYAC2b9+OW7du4cqVK+ByuWjcuDGcnZ3h7u5eYz9IderUCRMmTICPjw+uX7+OT58+wdLSEuPGjcPUqVPLHVvp4uICWVlZlJaWVrpLKY+7uzsiIiKwevVq+Pv74+TJk1BRUYGDgwMmTpwodtmVH0lVrr+JiQnCw8Oxfft2nDx5Erdv30ZhYSH09PTg5OQk9F2kTZs2OHXqFNauXYu7d+/C398fjDEYGhpWGBxqa2sjLCwMmzdvxrFjx3Dt2jWUlpbCzMwMP//8M2bPng1NTepW+D1z1XNCAzkV7Iw/gILSwgq3V5dXw6xmE9FMtfz5Dwj5XnBYLfUf4/1RrQ/d1cj3ZenSpfDx8cHUqVOxefPmum5OncvMzESTJk2QlZWF9+/f//ABIiHe3t7Yv38/fH19q7REE/ClN83PP/8MV1dXXL16VboNJESE7OxsqKurIysri5ayqAG5xXkI+hCG6+9DkJIvPAeFuYoJeuk5o4uOLbgyNKNmTaH7vPZ9c0tZEFITnj9/Dh0dHaFfdM+fP4+VK1eCw+FItKTBj+TevXvo2LGjQFpqairGjx+PjIwM9OvXjwJDQiSQm5uLlStXAgB/TCgh5PumIqeMvvo90KexC57mxCOtMAP5JflQklWCvlIjmKpItoYpId8bCg5JvXD48GGsWLEC1tbWMDIyQlFREZ4+fYqnT58CABYvXixy5scfWadOnWBoaIjmzZvzx+dERkbi06dPMDY2FhqbRggR9Pfff+PRo0e4desWXr58CTc3N7i6utZ1swghUsThcGClVvEyRIT8KCg4JPWCm5sbnj9/jjt37iAuLg75+fnQ1taGh4cHJk2axJ8OvT5ZuHAh/P39ER0djYyMDHC5XJibm8Pd3R0zZ86EtrZ2XTeRkG/apUuXEBwcDB0dHXh7e2P9+vV13SRCCCGkWmptzCEhhBBCCJEOGotF6gO6z2tfra9zSAghhBBCCCHk20PdSgkhhBBCCCHk/yspKcHz58/x8eNHFBYWgsvlQkdHh7+u+o+MgkNCCCGEEEJIvZeTk4Pw8HCEh4cjLy8PMjL/18mytLQUysrKsLW1ha2tLVRVVeuwpTWHxhwSQgghhHxnaCwWqQ9q8z5PTEzE0aNHUVRUVO667BwOB/Ly8hg2bBhMTU1rtE11gcYcEkIIIYQQQuqtxMREHDx4sMLAEAAYYygqKsLBgweRmJhYOw2sRRQcEkIIIYQQQuqlnJwcHD16FIyxCgNDHt62R48eRU5OjtTasnLlSnTo0AGqqqrQ1dXFgAED+Gty82zbtg2mpqZQVFREp06dcO/ePantH6DgkBBCCCGEEFJPhYeHS/TE8Gu8J4gPHjyQWluCg4MxefJk3LlzB9evX0dRURFcXV2Rm5sLADh27BhmzpwJHx8fREREoG3btujVqxc+fPggtTbQmENCCCGEkO8MjTkk9UFN3+clJSVYv3498vLyqlyHiooKZsyYUSOzmKampkJXVxfBwcFwdHREp06d0KFDB2zduhXAl0lyjIyMMHXqVMybN08q+6Qnh4QQQgghhJB65/nz59UKDAEgNzcXz58/l1KLBGVlZQEAtLS0UFhYiAcPHqBHjx78fBkZGfTo0QO3b9+W2j4pOCSEEEIIIYTUOx8/fhRYrqIqOBwOPn78KKUW/Z/S0lJMnz4ddnZ2aNWqFT5+/IiSkhI0atRIYLtGjRrh3bt3UtsvrXNICCGEEEIIqXcKCwurXQeHw5FKPV+bPHkyHj16hFu3bkm97vJQcEgIIYQQQgipd7hcbrXrYIxJpZ6ypkyZgosXLyIkJASGhoYAAB0dHcjKyuL9+/cC275//x56enpS2zd1KyWEEEIIIYTUOzo6OigtLa1WHYwx6OjoSKU9jDFMmTIFZ86cQUBAAMzMzPh5XC4X7du3h7+/Pz+ttLQU/v7+6NKli1T2D9CTQ0IIIYQQQkg9ZGlpCWVl5WrPVmppaSmV9kyePBlHjhzBuXPnoKqqyh9LqK6uDiUlJcycORNeXl6wtbVFx44dsXHjRuTm5mLMmDFS2T9AwSEhhBBCCCGkHpKVlYWtrS1u3rxZ6XUOgS/jDW1tbaW2jMWOHTsAAM7OzgLpvr6+8Pb2xtChQ5GamopFixbh3bt3aNeuHa5cuSI0SU110DqHhBBCCCHfGVrnkNQHtXGf5+TkYOvWrSgqKqpUgMjhcCAvL48pU6ZAVVW1RtpWF+jJISGEEEIIIV+J/5SE13nv8Lm4AIqyXDRW0kFzNbOKC5LviqqqKoYNG4aDBw8CgEQBIofDAYfDwbBhw36owBCg4JAQQgghhBAAQGFpEYI/ROBiyi08y3ktlG+srIe+je3g0qgjVOQU66CFpCaYmppi1KhROHr0aIVPEHlPDIcNGwZTU9Paa2QtodlKCSGEEAmZmpqCw+Fg3759NVJ/UFAQOByO0HiTylq8eDE4HA4WL14slXZ9b3jXKTExsdb3vW/fPnA4HHh7e9f6vkn1JOYmY/z9ZVj/7IjIwBAAXue9w474UxhzbwliMl/UcgtJTTI1NcWUKVPg6OgIZWVlAF8CQRkZGXA4HABfJp9xdHTElClTfsjAEKAnh4QQQgghpJ578SkJ86K3Irfks0Tb5xTn4Y+YHfBp+TPaa1nVcOtIbVFVVYWzszMcHBzw/PlzfPz4EYWFheByudDR0YGlpaXUJp/5VlFwSAghhHwjOnbsiLi4OP6v1qRq/P39UVRUBAMDg1rf98CBA9G5c2eoq6vX+r5J1WQUZsPn0T8SB4Y8RawYy+P2YpP1LBgpS2+2SFL3ZGVlYWVVP4N+Cg4JIYSQb4SysnK9/UIiTebm5nW2b3V1dQoMvzOXkkORXphdpbKfSwpw8o0/ZjQbLuVWEVI3aMwhIYQQUkM+f/6MdevWoXPnztDQ0ICioiKaNWuGuXPnIi0tTWj78sYcPnjwAEOHDoWhoSG4XC7U1NTQpEkTDBo0COfOnRPbhtTUVEyePBlGRkbgcrkwMjLC1KlTkZmZKbRt2fFyWVlZmDlzJkxNTaGoqAhLS0usXr0apaWlAIC3b99i4sSJMDIygoKCApo1a4YtW7aIbMOrV6+wevVqdO/eHcbGxlBQUICGhgbs7e3xzz//8OssKzExERwOB6ampmCMYdeuXWjfvj1UVFSgrq4OV1dX3L59W+T+xI05rEo7KnvuyxtzeOPGDXh4eKBRo0aQl5eHpqYmLC0tMXLkSISEhIjcN6lZJawEV96Jvo8kFZwagZyiqi+iTsi3hJ4cEkIIITUgOTkZbm5uiImJgZaWFjp06ABVVVVERETg77//xokTJxAUFAQTE5MK6/L390fv3r1RVFSEtm3bokuXLigpKcHbt29x6dIllJSUoH///kLl3rx5AxsbGxQVFcHOzg75+fkIDQ3F1q1bcffuXYSGhkJeXl6oXGZmJrp06YK0tDQ4ODggJycHN2/exLx585CUlITp06fD3t4e8vLy6Nq1K1JTUxESEoLffvsNeXl5+P333wXqO3jwIP7880+YmZmhadOmsLOzQ0pKCm7fvo3Q0FBcu3YNJ0+e5E/68LUxY8bgyJEjcHBwgLu7O6KionD9+nWEhIQgODgYnTp1kuiaVKUdVT33X9u/fz/GjBkD4Ev34W7duuHz589ISkrCf//9Bx0dHTg6Okp0HER6wj7GIK0wq1p1FJQW4cb7uxho2E1KrSKk7lBwSAghhEgZYwz/+9//EBMTg3HjxmHDhg38tbCKi4sxb948rFu3DmPGjEFAQECF9S1fvhxFRUU4dOgQRowYIZCXlZWFuLg4keX27t0Lb29v7Ny5EwoKCgC+BIxdunTB/fv3cfLkSQwbNkyo3Llz5+Dh4YHw8HD++MeIiAh06tQJ27dvR0BAAAYMGIAtW7ZATk6OX2bAgAFYsWIFpk6dKjBuslevXhgwYABatWolsJ/k5GT06dMHp0+fxsmTJzFkyBChtrx69QpBQUF49OgRmjZtCgAoKSnBhAkTsHfvXixatAhXr16t8BxWtR1VPfdfW7JkCRhjuHnzJuzt7QXyPnz4gLdv30pUD5GuuOwEqdQTm52IgVKpiZC6RcEhIYQQImVXr15FaGgo2rVrh507d/IDKACQk5PDmjVrcPXqVQQGBuLRo0dCwcrX3r9/DwDo06ePUJ66ujo6d+4sspyhoSG2bdvGDwwB8LuVzps3Dzdu3BAZHDZo0AB79uwRCPBsbGzQp08fnD9/Hp8+fcKGDRsEjqt///5o3bo1YmJiEB4eLvAUrEOHDiLbp6+vjzVr1qBXr144ceKEyOAQALZs2cIPDIEvk0UsX74ce/fuRXBwMIqKikQ+Af1aVdpR1XP/tffv30NdXV0oMAQAXV1d6Orqllu+oKAABQUF/P9nZ38ZI1dUVISioiKJ2kCEZRfmSqWenKJcug41gM5p7aPgkBBCCJGyS5cuAQAGDRokEEDxyMjIwNHREY8ePUJYWFiFwWHHjh0RGxuLESNGYMGCBejcubPIer/m4uIicubT5s2bA4DYp1Xt27cXGaxYWloCALp16wZFReEFwC0tLRETE4Pk5GShvIKCAly7dg3379/Hhw8fUFBQAMYYcnJyAABPnz4V2RY5OTm4ubkJpevp6UFTUxMZGRlIS0uDnp6eyPLVbUdVz/3XOnbsiKCgIIwePRrTpk2DtbU1ZGQkn/ph5cqVWLJkiVD6tWvXaHbbakhRfgsoVLxdRTI+puPy5cvVr4gIyMujsZy1jYJDQgghRMpevnwJAPjzzz/x559/lrttampqhfWtXLkSDx8+hJ+fH/z8/KCkpAQbGxs4OztjxIgR/GDva8bGxiLT1dTUAAD5+fmVKtegQYNy83ldZ7+u986dOxg6dChevxa9sDjwf0/Cvta4cWOxTwXV1NSQkZEh9ji+VpV2VPXcf2379u1wd3fHwYMHcfDgQaiqqqJDhw7o3r07Ro0aJfac8syfPx8zZ84UaKeRkRFcXV3515NUXtYbOcQmCf+YUVlN9c3Rx0L46TKpHnGfC6TmUHBICCGESBlv1kt7e/sKl1Vo2bJlhfXp6ekhPDwcwcHBuHHjBkJDQ/kTyqxYsQIrV64UmgQGQKWeTFWmXGXqzcvLw4ABA/D+/XuMGTMGv/76KywsLKCmpgZZWVk8e/YMzZo1A2Os2vuqiXZU9dx/rXnz5nj69CmuXbuGgIAAhIWF4ebNmwgICMDSpUvx77//YuTIkWLLKygoCHQP5pGXl5eoSy0RrbteB/yXdB0Mou8/SbnodaDrUAPonNY+Cg4JIYQQKTMyMgLwZRze7NmzpVInb4kL3jIX+fn52LdvHyZPnowFCxZg8ODBdbq+nzghISF4//49bGxssHfvXqH858+ff/PtkNa5l5OTQ58+ffjjF7Ozs7F+/XosWbIEEydOxMCBA6GiolK1AyRVYqisi3YalojMfFblOoyUGqGdZtOKNyTkO0DrHBJCCCFS1rt3bwDAiRMnxD4Rqy5FRUX88ssvaNOmDUpLS/Hw4cMa2U91paenAxDfFfXQoUPfXTukde7V1NSwePFiaGhoIC8vD8+eVT1AIVXnru9QrfJ99YUnGSLke0XBISGEECJl/fv3R4cOHXDv3j2MGTNG5LjCjIwM7Ny5E8XFxRXWt3btWpHj5J48ecJ/4iXJeol1gTcmz9/fH7GxsQJ5u3btwrFjx77pdkjj3Ofl5WH9+vUi74ObN28iMzMTsrKyMDQ0lOhYiHR11WmDHo06VqmsjaYV3PXtpNwiQuoOdSslhBBCKumvv/7Czp07xeZv374dZ8+eRd++fbF//36cPHkSbdu2hbGxMQoLC/Hy5UvExMSgpKQE3t7eFc5+uWzZMsyZMwdWVlZo3rw5lJSUkJycjFu3bqG4uBijR4+GjY2NtA9TKqytrdG/f3+cO3cO1tbWcHZ2hpaWFqKiovD06VMsWLAAy5cv/2bbIY1zX1hYiFmzZmHOnDlo3bo1LC0tIS8vj8TERNy5cwcA8Mcff6Bhw4Y1cuykYtMsf0JBSSFufoySuExbdUv80XwMZDmyNdcwQmoZBYeEEEJIJb18+ZI/I6ko2dnZsLGxwZ07d7Bv3z4cO3YMDx8+xL1796ClpQV9fX388ssv6Nevn8glIb62bds2+Pv74/79+wgODkZubi709PTQs2dPTJgwAf3795fm4UndiRMnsGnTJhw4cAC3bt2CoqIibG1tsXnzZlhaWtZKcFjVdkjj3Ddo0AA7d+5EcHAwIiMjcf36dRQWFkJfXx+enp6YNGkSunfvXhOHTCQkJyOL+c29YfHmBs4mhyCjUPwsmQ3klOCm1xWjTftAXoa+SpMfC4fV1GAIQgghhBBSI7Kzs6Guro6srCxaykLKiktLEPoxGn4pYXj9+T3yivOhJMuFnqIO3PQ6w0m3PRRluXXdzHqB7vPaRz93EEIIIYQQ8v/JycjCSdcGTrrfZldtQmoSTUhDCCGEEEIIIYSCQ0IIIYQQQgghFBwSQgghhBBCCAEFh4QQQgghhBBCQMEhIYQQQgghhBBQcEgIIYQQQgghBBQcEkIIIYQQQggBBYeEEEIIIYQQQkDBISGEEEIIIYQQUHBICCGEEEIIIQQUHBJCCCGEEEIIAQWHhBBCCCGEEEJAwSEhhBBCCCGEEFBwSAghhBBCCCEEFBwSQgghhBBCCAEFh4QQQgghhBBCQMEhIYQQQgghhBBQcEgIIYQQQgghBBQcEkIIIYQQQggBBYeEEEIIIYQQQgDI1XUDCCGEEEIIqSvv8nLg//Y5MgryICsjg8bKanA1bAplOW5dN42QWkdPDgkhpBZxOJxKv5ydnQEAQUFBAv+vjIiICKxduxbDhg1D06ZNISMjAw6Hg0OHDoktk5iYKHEbQ0JCqnhGao6zszM4HA6CgoIE0hcvXgwOh4PFixdLbV+8c2VqaiqUxztHooSFhcHV1RVaWlr8a7Jv3z5+/oULF+Dg4AA1NTV+PV8fz4+uvHNbU2riHiHfnnsfXuPXm6fgeH4b/gy/gvUxIfg7Oggzb59Hl7NbsOTBNbzKyajrZhJSq+jJISGE1CIvLy+htHfv3uHq1ati862srKq936VLl+LcuXOVKtOgQQOR7eGJjY3F/fv3oaqqivbt21e3ifVOcnIy+vbti6ysLNjb28PU1BQyMjKwsLAAAERFRWHQoEEoLS1F9+7d0bhxY3A4HOjp6dVxy6XL1NQUr169QkJCQq0EgEFBQejWrRucnJzqXaBN/s/2x2FY9zAITEx+TlEB9j8Lx6mEGGyz84RDY7NabR8hPDt27MDu3bsRExODP/74o8Z/tKLgkBBCalHZp0I8QUFB/OBQVL40dO7cGS1btoSNjQ2sra0xduxYBAcHl1tGR0en3Pb06dMHAPDTTz9BRUVFms39ocTFxYlMv3btGjIzMzF8+HAcPnxYKP/s2bMoKirCggULsHz58ppu5jfLwMAAcXFxkJeXr7V9TpkyBT/99BN0dHRqbZ+k9uyJu4u1D4Mk2vZTUQEm3DyBQ92Go31Dw5ptGCEiNG7cGIsXL8aRI0dqZX8UHBJCSD0wb948qdb39u1bfkA7btw4qdb9oxH35Pf169cAAEtLyyrl1xfy8vJSeXpeGTo6OhQY/qASctKxKjqgUmUKSoox4/Y5BHlMgoyYLuLk27Jv3z6MGTOm1nok1KQBAwYAAC5fvlwr+6Mxh4QQ8h0qKirC6tWr0bJlSygpKUFbWxuenp5in1JJ2759+1BaWoqWLVuiU6dOlS7PGMPp06fh7u4OPT09cLlc6Onpwd7eHqtXr8bnz5+Fyjx48AAjRoyAsbExFBQUoKWlhV69etXaH0wAuHjxIpycnKCqqgp1dXU4ODhU2F336zGH+/btA4fDgY+PDwBgyZIl/G1MTU354918fX0BAGPGjBEaf8qTkZEBHx8ftGvXDqqqqlBWVkbr1q2xbNky5OXlCbWl7Fi6169fY9y4cTAyMoK8vDy8vb0Ftj158iTc3NzQsGFDcLlcGBgYYOTIkYiNjRWqt+y4QMYYdu3ahfbt20NFRQXq6upwdXXF7du3BcrwzsOrV68AAGZmZgLjWHldPssbc3jv3j3MnTsXHTt25N9HjRo1goeHB27cuCG0vbOzM7p16wYACA4OFthf2forGnN49epVuLu7Q1dXF1wuF/r6+hg6dCjCw8NFbl92/GtUVBQ8PT2ho6MDBQUFtGjRAuvWrQNj4jo4Emk6/DwCpVU410m5WQhMflEDLSLk20JPDgkh5DtTVFSEPn36ICwsDI6OjmjevDnu3buHM2fOIDAwEJGRkTX+Symvu2lVnhoWFRXhp59+wunTpyEjI4OOHTuie/fu+PjxI2JjYzFv3jwMHTpU4Bg2bdqEmTNnorS0FO3atUOnTp3w7t07BAUF4dq1/8fencfVlP9/AH+dbnXbtGiR9kX2JLIWIcpSoSKEZGcYY5mxi8EYy9jHmDBiMAZN9shStggpxhJNiuxFKqm0fH5/9Lvn23Xvrdsm8X4+Hvfx0OfzOed8zuece933PZ8lHIsWLcKCBQuq6OykW7NmDaZNmwYAaNu2LaytrZGQkIB+/frx6fJo0KAB/P39ERcXh5s3b8LOzg4tW7YEUPzEqmXLlvD398fFixeRmJgIR0dHfhxiySdod+/eRc+ePZGSkoL69evDyckJSkpKuHr1KubPn4+QkBBERkZCS0tLog4JCQmwt7eHsrIyHB0dwRjjn5QVFBTAz88P+/btg1AoROvWrWFsbIwHDx5g9+7d+Oeff/DPP/+gZ8+eUs8vICAAe/bsQadOneDu7o64uDicOnUK58+fx7lz5/gfE0TtcODAAWRnZ8Pb2xsaGhr8fuQZWzlnzhxERESgWbNmfDCamJiIo0eP4ujRo1i7di2mTJnCl+/ZsydUVFRw8uRJ1KtXT+wc5H1SOH/+fCxZsgQcx6Fjx44wMzPDvXv3sG/fPoSEhCAoKAgjR46Uuu3JkyexevVqWFtbo0ePHnj+/DkuXryIGTNmICUlBWvXrpWrDqRicgvyEZJ0q8Lb70qIgYvx1/0kn3wFGCGEkBoVERHBALCyPpJLlrO3t2fPnz/n83JycpibmxsDwMaOHVvmMZ2dnRkA9ueff5a7vpGRkQwAU1ZWZqmpqeXeftq0aQwAs7CwYHFxcWJ5RUVF7PTp0+zt27d82okTJxjHcUxPT4+dO3dOrPytW7eYiYkJA8AiIyPF8kTnGBERIZYeGBjIALDAwEC563zz5k0mEAiYgoIC279/v1jerl27GMdxDAAzNzeX2FbWtS2rHv7+/gwA2759u0Te+/fvmbW1NQPA5s2bx/Ly8vi87OxsNnjwYAaABQQESD0mADZ06FCWm5srse85c+YwAKxdu3bs4cOHYnn79+9nAoGA6ejosPT0dD49KSmJ36+5uTm7f/8+n1dQUMBGjhzJADBXV1eJ45mbmzMALCkpSWo7iPYtrW2PHz/Onj17JpEeFRXFNDU1mZKSEnvy5IlYnuh95OzsLPV4jMm+NmFhYQwAU1FRYeHh4WJ5W7duZQCYkpISu337tlie6F4EwDZv3iyWd+bMGcZxHBMIBCwlJUVmnT6WkZHBALCMjAy5t/naxaSmMMs9Syv8arT355o+ha9ORe/z7du3l/q5UhuNGzeuXP9vVRR1KyWEkFpG1OWw5JMVFRUVLFq0CACkdqerSn/88QcAwNPTs9zjsl69eoWNGzcCKO62aGdnJ5bPcRxcXFzEnnYFBgaCMYbNmzejc+fOYuVtbW2xevVqAMCGDRvKfS7y2rBhAwoLCzFgwAD4+PiI5fn5+cHT07Paji3Njh07kJiYCHd3dyxevBjKyv9bj01NTQ1BQUEwMDDAn3/+ifR0yan469ati40bN0IoFIqlv3nzBmvWrIGKigpCQkJgaSk+Q6OPjw/GjRuH9PR0mcugbNiwAQ0bNuT/FggE/IQ6586dQ35+foXP+2O9evVC/fr1JdI7dOiAb775Bvn5+eWepbc0q1atAgBMnDgRPXr0EMsbNWoU3N3dkZ+fj3Xr1knd3svLC+PGjRNL69atG9zc3FBYWIiIiAiZx87Ly0NmZqbYCyh+Ek8v+V5v3mdX5vLjQ1EhsnNzavw8vrZXVYmNjUWvXr2gqakJDQ0NuLi44MqVKxLlIiMj4eDgABUVFVhbW+P333/nu5p/DahbKSGE1DJmZmYSQRUANGnSBEDxZDHVJTMzEwcOHAAAmV3nShMREYEPHz6gdevWci1/kZaWhqtXr0JVVRUeHh5Sy4jG4UVFRZW7PvISjX8bOnSo1Hx/f/8qDULKcuzYMQCAr6+v1HwNDQ04ODjg+PHjuHbtGlxdXcXyu3fvLrW7aUREBHJycuDi4gJjY2Op++7SpQs2bdqEqKgoTJo0SSxPUVFRandTQ0ND6OjoID09Ha9fv67S5Thev36NY8eO4fbt20hPT+e/TCYkJAAA7t+/XyXHKSgowKVLlwBAYnymyKhRo3D06FGZQZ6se7hJkyY4ceJEqe/dZcuW8T8AlRQeHg41NbUyak8A4L/CygWHHIBTJ05+NUHC50Da2OmKuHPnDr9m7A8//AAlJSX8/vvv6NKli1h399jYWPTs2RP169fHokWLUFhYiB9//BH6+vpVUo+KKCgoQEFBAQoLC1FQUIDc3FwoKSlBIBBUy/EoOCSEkFrGzMxMarqmpiaA4icM1WXv3r14//49TExM4ObmVu7tRZOPyDv7ZFJSEhhjyMnJkXjK9bHU1NRy10deT548AQCJJ2kistKry8OHDwEAw4YNw7Bhw0otK61dZI1JFe33zJkzZX4Blrbf+vXry1xyQlNTE+np6cjNzS11v+WxZcsWTJ06FdnZsr/0i56wVdbr16/5usu63tbW1gBk/0BT1nu3tLaZPXu22NjWzMxMmJqawtXVld+elO5lzjtsPr4ZhRWc/Meqji76uPWp4lqR0lTV+3fevHnIz8/HxYsXYWVlBQAYPnw4GjVqhB9++IFf2ikwMBACgQCXLl2CkZERAGDgwIH8j681YcmSJWI/DC1duhTbt2+X+SNVZVFwSAghtYyCQs2NCBB1KR0xYsQnqUdRURGA4idh3t7e1X682kLULj179kS9evVKLWtubi6RpqqqWup+GzRoAEdHx1L3Ky3A/5T3ZkxMDMaNGweBQIDly5fDw8MDZmZmUFNTA8dxCAoKwrhx4z6rWUAr0z5CoVDqDyRKSkqfdA3I2sxESQddjRrg9NOECm0/uIE9tfUnVhXtXVhYiPDwcPTr148PDIHiH7OGDBmCLVu2IDMzE+rq6jh9+jT69+/PB4ZA8edhr169cOTIkUrXpSIWLlxY7Qvfl0TBISGEELncvXsX0dHR4DgOAQEBFdqH6MlJfHy8XOVNTU0BFI9F/OOPP2osMDY2NkZiYiKSk5PRrFkzifzk5ORPWh9TU1PEx8dj1KhREmMgK7tfAGjUqBE/I+3nav/+/WCMYfLkyfjhhx8k8kXdSquKrq4uhEIh8vLy8PDhQ7Ro0UKijOjJq6wuuaTmDbVpXaHgUFWgBB8ryWtOPn+pqal4//49GjVqJJHXpEkTFBUVISUlBXXr1kVOTg4/O3RJ0tJ+++03bNmyBf/++y/mzp0rFsClpqZixIgRiIyMhImJCTZt2gQXF5cqPa/qQhPSEEIIkcu2bdsAAF27dhX79bU8unXrBmVlZcTExODGjRtlljcyMkKLFi2QlZWFEydOVOiYVcHZ2RkAsHv3bqn5O3fu/JTVQa9evQAA+/btq9L9uri4QFlZGZGRkXj16lWV7lsW0WQ6BQUF5druzZs3AKQ/Gc3NzUVISEiVHk9RURFOTk4AIDNwFj1ZF62lSD4/nQwt0dmw/J9f3zRzhKaySjXUiNRW9evXx8KFC6X2avnmm29gaGiI1NRUrFy5EgMHDuQ/sz53FBwSQggpU35+Pj87ZUXWNhQxMDDAhAkTAAADBgzA7du3xfIZYzh79iwyMjL4tCVLlgAoXj9PWrcexhiio6MRHh5e4XqVZfLkyRAIBNi3bx9CQ0PF8vbu3YuDBw9W27GlGTt2LMzNzbF//37MnDkTWVlZEmVevHiBLVu2lGu/9erVw+TJk5GdnQ0PDw/8+++/EmXy8vJw+PBhuZ/+lsXExARA8YQR5SEaA7Rjxw6x88/NzcXEiRORlJRU6vESEhLKPRPi9OnTARQ/MThz5oxYXnBwMA4fPgwlJSWxtRXJ54XjOGx06o/WeiZybzOioQMmNutYjbUi1UlfXx9qampSJ6eKj4+HgoICTE1NYWBgABUVFfz3338S5aSl9evXD56entDW1hZLf/fuHQ4ePIhFixZBTU0Nnp6esLW1lTppGcdxn+RVHtStlBBCvgLHjh3D4sWL+b/v3r0LoHgsg2hpCQBSp/UGgKNHj+LVq1fQ1taGl5dXpeqyYsUKJCUl4fDhw7Czs0O7du1gaWmJtLQ03LlzB0+fPkVSUhI/m6aHhwfWrVuH6dOnw9PTEw0aNECjRo2gpaWF1NRU3Lx5E69evcLMmTMlZuWsKi1btsSyZcvwww8/wMvLC+3atYO1tTUSEhJw7do1TJ06FWvWrKmWY0ujrq6OY8eOwd3dHStWrEBQUBBatGgBExMTvH//Hg8ePMC9e/dgYGCAMWPGlGvfP//8M54/f449e/agZcuWsLOzg5WVFRQVFfHkyRPExcUhOzsbYWFhck8sVBpvb29ERERg6NChcHV1hY6ODgDg+++/l9oNTCQgIADr1q1DbGwsLC0t0alTJwgEAly4cAE5OTmYMmWK1CUlzMzM4ODggOvXr8PW1pafsl5PTw8///xzqXXt1asX5s2bhyVLlqBHjx5wdHSEmZkZ4uPjcePGDQgEAmzevFlq12Py+dBQEmJXtyH4Oe4sDjy8heyCD1LL1Verg/FNO2KYTdkzK5PPl0AggKurKw4dOoTk5GR+Qq6XL19iz549cHJy4id16t69Ow4ePIhnz57x4w7/++8/hIWFyX28hIQEaGho8D9EAcXLLkn7AexzGhMtQsEhIYR8BVJTUxEdHS2RnpiYiMTExDK3F3WXGzJkCFRUKte1SllZGQcPHsTevXsRHByMmJgYXL9+Hbq6urCxscF3330nsdTBt99+i27dumHDhg2IiIjAmTNnoKCgAENDQ9jb26NPnz7VPmGNKFhZuXIlYmNjcefOHbRo0QIHDhxA69atP2lwCADNmjXDrVu3sHnzZoSGhuLWrVu4fPky9PT0YGJighkzZqB///7l3q+ioiJ2796NoUOHYuvWrYiOjsbt27ehrq6O+vXrw8PDA56enhJrTlbUhAkTkJWVhV27duH48eP8jJ1Dhw4tNTjU1tbG9evXERgYiJMnTyIsLAy6urpwdXVFYGAgLl68KHPbkJAQzJ49GxEREfj7779RUFAAc3PzMoNDAFi8eDEcHR2xYcMGREdH48qVK9DT08OAAQMwY8YMtG3btvyNQD45oUARga1dMa2FM0KT/sXJJ/eRnpcDRU4B9dU04WVpi+7GNhDU4ARgpOosWbIEp06dgpOTEyZOnAhFRUX8/vvvyMvLw4oVK/hyCxcuRHh4OBwdHTFhwgQUFhZi48aNaN68OeLi4uQ61rt37yRmENbU1MTr16+llk9OToalpSXU1dX5tK5du+LIkSNieRzHwdDQkP+MMzAwkNieMQYLCwts2rSJHw5RXhz7HENWQgghhBAiU2ZmJrS0tJCRkUFLWZAvVkXv8+DgYAQEBCApKYl/UhgbG4vZs2fj0qVLKCoqQrt27bB06VJ06NBBbNuzZ89ixowZuHPnDkxNTTF79mzcu3cPv/76K3JyciSONX78eBgaGvIT0sTGxsLFxUVsjOHkyZMhFAqxatUqie0PHTqEOXPmSH2yeOjQIcyePZvv7fP48WPMnDkTiYmJiIqKgqKiIg4dOoS5c+fi9u3bYIxh7ty5CAkJqfAar/RzCCGEEEIIIeSLMWLECP4pmoi9vT1OnDiBrKwsZGdn4+zZsxKBIVA8cdqNGzeQl5eH//77D6NGjcJ///0n1k20NDY2Nnj37p3Yeqe3b9+W2d385s2bMrvo37x5U2xmZDMzM2zfvh137tzBtWvX+DL29vYAiscwOjo6Ii0tTa66SkPBISGEEEIIIYQAEk8HExIScPz4cXTp0kUsvaCgALm5uSgsLBT7t4aGBvr27YvAwEDk5OTg6NGjuHXrFvr27Sv1eOUJDgFARUUF5ubm/NI5N2/eRKtWrQAAT58+xfLlyzFgwICKnDoACg4JIYQQQgghBABgZWWF2bNnY8uWLZg3bx7at28PZWVlifVUlyxZAlVVVWzduhVLly6Fqqoq/vzzTwDApk2b8OzZM+jq6mLatGn4+++/UbduXanHu3nzJtauXQttbW1oa2tj0KBBYnl2dnYS22RkZPCzpN68eRMLFizgJ8Fp1qwZ1q9fX+HzpzGHhBBCCCG1DI05JF+DmrjPAwICEBERgRcvXkAoFKJDhw746aef+KdzVUk0ec2DBw/QoEEDqXmPHj2Cqakpn56UlAQbGxu8ePECKioq0NTUxJs3b6CpqYlVq1bhr7/+QmxsbIXrRMEhIYQQQkgtQ8Eh+Rp86fd5VFQUevfujfT0dIn1CKOiouDu7i42sQ0A+Pv7Iz8/H3v27EFUVBQGDhyIJ0+eACheh1ZfXx8XL16U6I4qL+pWSgghhBBCCCGfmGgyGWkL1d+8eRO2trb83/fv34e/vz+io6P5NVxv3rwpNtGNUChEly5dcPTo0QrXiYJDQgghhBBCyFfv/Pnz8PDwgJGRETiOw8GDB8XyGWNYsGAB6tevD1VVVXTv3h0JCQkVPl7JyWSk5UVFRaFOnTrQ0dHBwIEDYW5ujujoaOjr6/NlmjdvLradm5tbpYJD6lZKCCGEEFLLfOnd7QgBPv19HhYWhkuXLqF169bw8vJCaGgo+vXrx+cvX74cy5Ytw44dO2BpaYn58+fj33//xd27d6GiolLt9fsUFGu6AoQQQgghhBBS03r16oVevXpJzWOMYe3atZg3bx6/LMXOnTtRr149HDx4UGyW0dqMupUSQgghhBBCSCmSkpLw4sULdO/enU/T0tJCu3btcPny5RqsWdWi4JAQQgghhBBS6/354wGJtJvn7lbJvl+8eAEAqFevnlh6vXr1+LwvAXUrJYQQQgghhNR6f686gn82nBBLY4xJzAYamrr1U1arVqHgkBBCCCGEEFLr5RcB+Tn51bJvQ0NDAMDLly9Rv359Pv3ly5do2bJltRyzJlC3UkIIIYQQQkitxykpyfWqCEtLSxgaGuLMmTN8WmZmJqKjo9GhQ4eqOoUaR08OCSGEEEIIIbWfoHLPvd69e4f//vuP/zspKQlxcXGoW7cuzMzM8N1332HJkiWwsbHhl7IwMjISW+6itqPgkBBCCCGEEFLrcYqVC22uX7+Orl278n9PmzYNAODv74/g4GD88MMPyM7OxtixY/H27Vs4OTnhxIkTX8wahwDAMcZYTVeCEEIIIYTI71MvDk5ITSjvfd7L5Fu59hv2ZH1lq/bFoieHhBBCCCGEkNpPgaZTqSwKDgkhhBBCCCG1XyW7lRIKDgkhhBBCCCFfAkVBTdeg1qPgkBBCCCGEEFL7VXK2UkLBISGEEEII+Qpl5efg6NMYhD2LRWpeBgqLilBHSRUd9BvB27Q9LDUMarqKpJyYIgWHlUUtSAghBBYWFuA4TuwlFAphYmKCvn374ujRozK3HTFiBDiOQ3Bw8KerMJFJdP3Kq0uXLuA4DpGRkVVfqWpS0XOVx8KFC8FxHBYuXPhJtyXV70NRAVbdOwz3yGVYd/8YHmQ9Q/qHbGQW5OBpzhsceHwZgy+twTfXtuDJ+9c1XV1SHgoK8r2ITNQ6hBBCeI6OjvD394e/vz969+4NRUVFHD58GB4eHvx6T6TygoODwXEcRowYUdNV+Wx9rj86REZGguM4dOnSpaarQiogt/ADplz/AwceX0ZeUX6pZWPePMSY6N/wIPPZJ6odqSymqCDXi8hG3UoJIYTwRo8eLRawFBQUYOrUqdi4cSPWrFmDwYMHo02bNjVXQVKme/fu1XQVvgiTJk3CoEGDoKen90m3JdVr/s29iE1Pkrt8+odsTLsRjD/afwMDFa1qrBmpCkxAE9JUFoXOhBBCZFJUVMTKlSv5xYePHDlSwzUiZWncuDEaN25c09Wo9fT09NC4ceMKBXiV2ZZUn2uv/8OF1PL/eJKWl4U/k85VQ41IlRNw8r2ITBQcEkIIKZWKigpsbGwAAC9fviy1bFJSEoYNGwZDQ0MIhUJYW1tj3rx5yMvLk7lNTEwM/Pz8YGZmBqFQiLp168LNzQ3Hjx+XWr6scWayxs6VTL9y5Qr69OkDXV1d1KlTB87Ozrhw4QJf9sSJE3BxcYGOjg40NDTQo0cP3LhxQ+rxTp8+jcmTJ6Nly5bQ09Pjx2r6+vri2rVrEuUtLCwQEBAAANixY4fYOM+Puyq+f/8eP//8M1q1aoU6depATU0NzZo1w7x585Cenl7u9klJScHIkSNRv359/rrOnTsXOTk5spqzVKmpqVi/fj169+4NS0tLqKqqQlNTEw4ODli+fDlyc3PLrOP27dvRoUMHaGlpgeM4JCcng+M47NixAwAQEBAg1kayxvGFhITAyckJmpqaUFdXh6Ojo8x7SDTGNjk5GYcOHUK3bt1Qt25dsftG2rjBLl26oGvXrgCAc+fOidXLwsKCL1famMP9+/eje/fu0NXVhZKSEnR1ddG0aVOMGTMGt27dKqW1SWWFPL5S4W3DnsUip+BDFdaGVAcmUJDrRWSjbqWEEELKlJmZCQCoV6+ezDJxcXGYMmUKdHR04OzsjDdv3uDSpUtYunQp7ty5g9DQUIlt1q1bh2nTpqGoqAgtW7ZEu3bt8OLFC0RGRiI8PByLFi3CggULqvRcjh07hrVr18LW1hY9evTA/fv3cf78efTo0QNnz55FbGwsvv32W7Rv3x6urq6Ii4vD6dOn4ezsjNjYWDRo0EBsf+PHj0dKSgqaNWsGR0dHKCoqIj4+Hvv27cM///yDvXv3wtvbmy/v4+ODK1eu4NKlS7C2toaTkxOfV/KJ35s3b+Di4oK4uDhoamqiW7duUFJSwrlz57B06VLs2bMHZ8+eFQtKShMfHw9nZ2e8evUK9evXh6enJ7Kzs7FmzRpERERUqC1PnjyJKVOmwNjYGA0aNED79u2RmpqK6OhozJo1C4cOHUJERASEQqHU7SdPnoxNmzahY8eO6NOnDx4+fAiO4+Dv74+LFy8iMTERjo6OYm3esmVLif0EBgZi8eLF6NixI3r37o34+HhERUXB3d0dISEh6N+/v9Tj//LLL9i4cSMcHBzQs2dPPHv2DIJSuqX17NkTKioqOHnyJOrVq4eePXvyefI8Jfzxxx8RGBgIRUVFdOzYEcbGxsjIyMDjx4+xbds2NGvWDC1atChzP6T8UnMzK/TUUORdQS5OPo9DP9O2VVgrUtWKFOmpYGVRcEgIIaRU9+7dw8OHDwEAnp6eMsutW7cOc+fOxaJFi/gv2Ldv30b79u1x8OBBXL58GR06dODLnzx5ElOnToWuri5CQkLQuXNnPu/ff/9F7969ERgYCGdnZzg7O1fZ+fzyyy/YuXMnhg4dyqdNnz4dq1evxsiRI/H06VOEh4fDxcUFAFBYWAhfX1+EhIRg+fLl2LJli9j+Vq1aBWdnZ+jo6IilHzx4EAMGDMC4cePQu3dvqKqq8uWDg4Nx6dIlODk5yZxwZeLEiYiLi0O7du1w7Ngx6OrqAgDevXuHgQMHIiwsDH5+frh06ZJc5z18+HC8evUKAwcOxI4dO6CiogIAePz4Mbp164bExES59lNS69atcfnyZbRv314sPT09HYMGDUJ4eDjWr1+P77//Xur2O3fuxKVLlyS2Dw4OxogRI5CYmCgxDlaa9evX4/Lly2jXrh2ftnDhQixatAizZs2SGRz+9ttvOHToUKn3dUmzZs1C+/btcfLkSTRu3Lhck+Xk5eXh559/hoaGBq5fv45GjRqJ5T969KjCT3BJ2RKynqOQFVVqH/GZT6uoNqTaKFBwWFn0XJUQQohUGRkZCA8Ph5eXFwoLCzFv3jw4ODjILN+6dWssXrxY7MlL8+bNMWzYMADF3S9LCgwMBGMMmzdvFgsMAcDW1harV68GAGzYsKGqTglA8ZO7koEhAMydOxcAcP/+fUyYMIEPDAFAIBBgzpw5AIAzZ85I7K9fv34SgaEofcCAAXj9+nW5n8w9fvwY+/fvB8dxCAoK4gNDANDQ0MCWLVugoqKCqKgoREVFlbm/S5cu4dq1a1BXV8emTZv4wBAAzMzMsGrVqnLVT6RJkyYSgR0A6Ojo8Ndt//79MrefMWOG1O3L68cffxQLDAFg9uzZ0NLSwoMHD5CSkiJ1O39/f7kDw8rKzMxETk4OrKysJAJDADA3Ny91rGheXh4yMzPFXgCQn59PLzleWXnvK30N3+Xn1Ph5fI2v8ihSVJDrRWSjJ4eEEEJ4AQEB/Hg4EYFAgF27dsHPz6/Ubd3d3aWOdWvSpAkA4OnT//3qnpaWhqtXr0JVVRUeHh5S9ycafydP8FMevXv3lkirW7cudHV18fr1a6n5ojGXz55Jn9L+2bNnOHbsGOLj45GRkYGCggIAwJ07dwAUB53S9ivL+fPnUVRUhFatWkntZmhsbAw3Nze+22bHjh1L3Z9oHF3Pnj3FAk2Rvn37QktLCxkZGXLXUaSwsBCRkZGIiorC8+fPkZOTA8YYGGMAis9dFh8fn3IfTxpp95BQKISVlRViY2Px9OlTmJqaVtvx5aGvrw8LCwvcunUL06dPx6hRo9C0aVO5t1+2bBkWLVokkR4eHg41NbWqrOoX6T+FdEC5cvtIe/oSxx9JH8dKqsf79+UL6hlNNlNpFBwSQgjhlRzflZqaigsXLiArKwsTJkyAjY0N2raVPd7GzMxMarpoptOSk5MkJSWBMYacnByZ49FEUlNTy3sapZJVTw0NDbx+/Vpqfp06dQBA6sQ6ixYtwtKlS0v9hVv0lEdeokDa0tJSZhlra2uxsqV58uRJqfsTTahy8+bNctUzISEB/fv354NgaUo7d3nHS5alPPdedRxfXjt37oSPjw9Wr16N1atXo27dumjXrh169OiBYcOGlTpucfbs2WJrjWZmZsLU1BSurq78eRLZnuWk48DlB2BgFd5Hpyat0Nu09B9iSNUq72cno4eClUbBISGEEN7H47syMjLQv39/REREYODAgbh7967MpxQKCvL/r1xUVDz2R0NDQ2yylqog2rcsZdWzPOfxzz//YOHChdDQ0MDGjRvRrVs3GBkZQVVVFRzHYc6cOVi2bBn/FO1L4+Pjgzt37sDd3R0//PADmjZtCk1NTSgpKeHDhw9lBv6icZiVVZ5rVh3Hl1enTp2QnJyMY8eO4dy5c4iKisLJkycRFhaGwMBAhIaGinVpLkkoFEptTyUlJSgpKVV31Ws9cyUDtNVtgOjXCRXaXqigBA/TttTWn1h525vRhDSVRsEhIYQQmbS0tPD333+jcePGePToEVavXo158+ZVer+iLn4cx+GPP/4o15d7JSWl4jFEWVn8E72SHj16VOn6yWvfvn0AgKVLl2Ls2LES+QkJFfsiamxsDAD8REDSiPJEZeXZX3Jysswy5W23+Ph43Lp1CwYGBggNDYWiovhXioqe+5dOVVUVPj4+fJfW1NRUzJs3D0FBQRg5cuQnvX+/Nt5m7SscHPao3wKaSp/2xwRSfkXUrbTS6OErIYSQUunr6/MB4apVq/D27dtK79PIyAgtWrRAVlYWTpw4Ua5tRYHOvXuS09LfunVL5uQj1eHNmzcAiicT+dirV69w6tQpqdspKxcPfhKNTfxY586doaCggLi4OKldPZ8/f863m2jdvdKIZns9ceIEX+eSDh8+XO7rKtqPkZGRRGAIALt27SrX/j5WVhvVlKqul76+PlasWAGgeCIiWetXkspz1G8MW23J92pZNBRVMNyy6mZMJtWHKcj3IrJR8xBCCCnTxIkTYWZmhoyMDPzyyy9Vss8lS5YAKJ4E58iRIxL5jDFER0cjPDxcLL179+4Aisf6lRwDmJycDH9//0/ahVM02U5QUBA+fPjfAtkZGRnw9/eXOcGLiYkJAODu3btS883MzDBgwAAwxjBu3Di8fv2az8vOzsbYsWORm5uLjh07ljkZDVDcnbFVq1Z49+4dvvnmG7F2S0lJwYwZM8o+2Y80bNgQAoEA//77Lz/hjciRI0ewZs2acu+zJFEblTaesSaI6pWQkFCumRQfPXqErVu3Sh1DJbr/dXR0aPxgNRJwClhlPwzWGrLXa/2YikAJP7ccCjN1/WqsGakqTMDJ9SKyUXBICCGkTEKhEAsXLgRQvJ6htKdP5eXh4cHvy9PTEzY2NnB3d4efnx9cXV1haGiI9u3b4+zZs2LbzZkzB9ra2jh+/DgaNmwIHx8fODs7o2nTptDT05MrWKoq3333HV8XKysr+Pj4oG/fvjA3N8fNmzcxcuRIqdu1b98eRkZGiI2NRatWreDv74/Ro0dj5cqVfJlff/0VdnZ2iI6OhrW1Nfr3748BAwbA0tISR48ehaWlJXbv3i13Xf/880/o6+tj7969sLKygq+vLzw8PNC4cWPo6uqKrUEpDz09PUyaNAmFhYVwcXFBly5dMGTIELRu3Rqenp4y1zaUV79+/aCgoID169ejR48eGDlyJEaPHo3Dhw9Xar+VZWZmBgcHB7x69Qq2trYYOnQoRo8ejVmzZpW6XXp6OsaMGQM9PT20bdsWvr6+8PX1RatWrTBs2DBwHIeVK1eKLQVDqp6Wsjp+bzsezgZNwaH0IMFcXR+/tRkLB13rT1Q7UllFivK9iGwUHBJCCJHL8OHD0bRpU2RlZYkFMZXx7bffIjY2FmPHjgXHcThz5gwOHjyIxMRE2NvbY/369fj222/FtrG0tERUVBS8vLyQlZWFo0eP4uXLl5g7dy6OHz/+SSeMsLS0RGxsLPz8/CAQCHD06FHcvHkTgwcPRmxsrNTlE4DiroknT56Ep6cnnjx5gl27dmHbtm04duwYX0ZXVxdRUVFYtmwZLC0tER4ejqNHj0JPTw9z5sxBTExMuWbbbNq0Ka5fv44RI0agsLAQBw8exN27dzF58mScOXOG7y5ZHmvWrMG2bdtgb2+PmJgYHD9+HGpqati7dy8WL15c7v2V1KJFC4SEhKBDhw6Ijo5GcHAwtm3bhhs3blRqv1UhJCQEQ4YMQWZmJv7++29s27YNe/fuLXUba2trrF27Fu7u7nj79i2OHz+OY8eOITs7G8OHD8e1a9cwatSoT3QGXzcNJRUstx+GfU7TMNjcCTrK6nyeEieAs0EzrHcYhb2OU9FEy6QGa0rKiylwcr2IbBz7UqdQI4QQQgj5QmVmZvJrU1JX1MrLLypAISuCiqCSiyGSKlXe+7ztiNVy7fdq8LSyC32l6MEqIYQQQgj5qikpKIIWqaj9iqhXdqVRcEgIIYQQQgip9ajLaOVRcEgIIYQQQgip9Rg9Oaw0Cg4JIYQQQgghtR4Fh5VHwSEhhBBCCCGk1qMF7iuPmpAQQgghhBBS6zGBfC9ZCgsLMX/+fFhaWkJVVRXW1tZYvHgxvqbFHejJISGEEEIIIaTWK6rkY6/ly5fjt99+w44dO9CsWTNcv34dAQEB0NLSklhz90tFwSEhhBBCCCGk9qtkcBgVFYW+ffuiT58+AAALCwv89ddfuHr1ahVUrnagbqWEEEIIIYSQWk+gLICqmrLYS0VVWSJNlo4dO+LMmTN48OABAODmzZu4ePEievXq9alOocbRk0NCCCGEEEJIrTfGpQ2+cekglnb1YQraWpnKtf2sWbOQmZmJxo0bQyAQoLCwEEuXLoWfn191VPezRMEhIYQQQgghpNYLOn8NwVE3xNIYAzhOvNy1+d9I3X7fvn3YvXs39uzZg2bNmiEuLg7fffcdjIyM4O/vX13V/qxQcEgIIYQQQgip9fJQiLyCwgpv//3332PWrFkYNGgQAMDW1haPHj3CsmXLKDgkhBBCCCGEkNqitGUq5PH+/XsoKIhPySIQCFBUVFS5HdciFBwSQgghhBBCaj+u7CKl8fDwwNKlS2FmZoZmzZohNjYWq1evxsiRI6umfrUABYeEEEIIIYSQWq+yTw43bNiA+fPnY+LEiXj16hWMjIwwbtw4LFiwoGoqWAtQcEgIIYQQQgip9YoqGRzWqVMHa9euxdq1a6ukPrURBYeEEEIIIYSQ2k+B1XQNaj0KDgkhhBBCCCG1XmW7lRIKDgkhhBBCCCFfAAoOK4+CQ0IIIYQQQkitx6hbaaVRcEgIIYQQQr4KuYW5eJLzBDmFOVDilKAn1IOeUK+mq0WqCFMouwwpHQWHhBBCCCHki/Y05ynOvjqLqLQo5BbliuU1qdME3Qy6wV7HHgKO+iXWagJ6clhZFF8T8oWxsLAAx3ESLw0NDdjZ2WH27Nl4/fp1TVdTphEjRoDjOAQHB4ulBwcHg+M4jBgxokbqRWpGZGQkOI5Dly5daroqFZKcnAyO42BhYSGRJ3qvJicnf/J61WbUbqQ8ClkhgpODMe/2PJx9dVYiMASAe1n38Gvir5h3ex5e5L6ogVqSKqPA5HsRmSg4JOQL5ejoCH9/f/j7+2PYsGFo3749EhIS8PPPP6NFixZ4+PBhTVeRVCNZQTYhn7OFCxeC4zgsXLiwpqtCvgBFrAib/tuEc6nn5Cr/IvcFlt5biuc5z6u5ZqS6MAGT60Vko26lhHyhRo8eLfGU7cWLF3B2dsaDBw/www8/4MCBAzVTOULk1LZtW9y7dw9qamo1XZUqd+bMGeTn58PY2Limq0LIFynkSQhuvL1Rrm3eFbzDmoQ1WNxsMYQCYTXVjFQXjgK/SqMnh4R8RQwNDfH9998DKP5iSsjnTk1NDY0bN4aZmVlNV6XKWVtbo3HjxlBSUqrpqhDyxXlf8B6nX52u0Lapeam4/PpyFdeIfBIKcr6ITNQ8hHxlDA0NAQAFBQUV2v7s2bMYMGAATExMIBQKoa+vjzZt2iAwMFDqWMYHDx5g3LhxsLa2hoqKCrS0tNC5c2fs2rWrUuchj5LjvQoLC7F69WrY29tDQ0MDHMdVup6MMfzzzz9wd3eHoaEhlJWVYWhoCCcnJyxfvhw5OTkS28TExMDPzw9mZmYQCoWoW7cu3NzccPz4canHKDm+KjQ0FE5OTtDU1ESdOnXQpUsXie1E57xjxw4AQEBAgNjY04+76z158gSTJ0+GjY0Nf96Ojo74/fffUVhYKFGfkmM/37x5g++++w7W1tYQCoVyjwtMSEjAyJEjYWlpCaFQCA0NDZibm6NPnz7Yvn27WNmyxhxevHgRPXv2hLa2NjQ0NNCmTRvs3LkTAPhz/ljJ9JCQEL5N1dXV4ejoKPNa3L17F4GBgXB0dISxsTGUlZWhq6uL7t27Y9++fXKde0myxs516dIFHMchMjIScXFx8PLygp6eHoRCIZo2bYpffvkFjEn/dTw7Oxvz58+HjY0NhEIhjIyMMHLkSDx9+rRCXTZLXu/Xr1/jm2++4e9dc3NzTJ06Fenp6VK3/eeffzB69Gg0b94cOjo6UFFRgaWlJUaOHIn79+9LlOc4DosWLQIALFq0SOy+lTXWOCIiAq6urtDR0YGqqipatWrFX/+SvLy8wHEc/vnnH7H0goICaGlpgeM4DBw4UGK7kSNHguM4/PHHH3xaVlYWtmzZAi8vL9jY2EBdXR3q6uqwtbXF3Llz8fbtW7F9ZGZmQlNTE4qKikhJSZF6HgDQu3dvcByHTZs2ySxD5Hcx7SI+FH2o8PZnX52twtqQT4VTKJLrRWSj4JCQr8zVq1cBAM2aNSv3tt9++y1cXFxw4MAB6Ovrw8vLC23atMGbN2/w448/4t9//xUrv3//ftjZ2SEoKAjKysro3bs3HBwccOPGDQwbNgwjR46sknMqC2MMXl5emD17NnR1deHp6YkWLVpUqp75+fnw8fGBt7c3wsLCYGlpCR8fH7Ro0QLJycmYNWsWXr58KbbNunXr0LZtW+zZs4evR7NmzRAZGYk+ffrgxx9/lHkO69evh5eXF/Ly8uDu7o6mTZvi3Llz6NOnDzZs2MCX09DQgL+/P6ytrQGIjz319/dHy5Yt+bLXrl2DnZ0dNm7ciA8fPqBfv37o2LEjbty4gfHjx6NPnz748EH6l6u0tDQ4ODhg586daN68Ofr27QsTE5Myr8Xt27fh4OCA7du3QygUwt3dHb1794axsTHOnz+PdevWlbkPkb1798LZ2RknT56EmZkZPD09oaamhoCAAMyaNavM7QMDAzFgwAAAxV/MbWxsEBUVBXd3d4SGhkqUX716NX788Ue8efMGtra28PLyQqNGjRAREQFfX19MmzZN7rrL4+TJk2jXrh3i4+PRo0cPdOjQAQ8ePMCMGTMwdepUifLZ2dno2rUrlixZghcvXsDV1RVOTk44ceIEWrVqhUePHlW4Lunp6WjXrh327NmD1q1bo0+fPsjKysLatWvRoUMHpKamSmwzcOBA/PXXX1BVVUW3bt3g5uYGBQUFbN++Ha1bt0ZUVJRYeX9/f9jZ2QEA7OzsxO5bJycnif3/8ccfcHFxwZs3b9CzZ0+0bNkSsbGx8Pf3x9q1a8XKdu/eHQBw+rT4k6SrV68iMzMTQPEPXx8H3aIeFqLtAeDmzZsYO3YsLl68CENDQ3h4eMDJyQnPnz/HTz/9hDZt2oj9UKapqYkRI0agsLAQmzdvltq+iYmJOHHiBDQ1NTF8+HCpZUj5yDvOUJaUnBQ8fEdj82sbTsDkepFSMELIF8Xc3JwBYNu3b+fTCgsL2ZMnT9iGDRuYUChkAoGAHTlypFz7Xb9+PQPAdHV12dmzZyXyo6Oj2ePHj/m/b926xYRCIVNRUWEhISFiZZOTk5mtrS0DwHbs2CGW5+/vL1F/xhjbvn07A8D8/f3lrnNSUhIDwAAwExMTdv/+fYkyFa3ntGnTGABmYWHB4uLixPKKiorY6dOn2du3b/m0EydOMI7jmJ6eHjt37pxEHUxMTBgAFhkZKZYnup4cx7Fdu3aJ5e3du5dxHMcUFRXZv//+K5Ynqx1FcnNz+X2PHz+effjwgc9LTExkFhYWDACbM2eO2Hai6wCAubi4sIyMDKn7lyUgIIABYEuWLJHIe//+vUTbREREMADM2dlZLP3p06dMQ0ODAWDr1q0Tyzt37hxTV1fn6/kxUbq2tja7cuWKWF5gYCADwBo2bCixXWRkJEtMTJRIj4+P569fdHS0WJ7oHjQ3N5fYTtT+SUlJYunOzs58HTdv3iyWd+bMGcZxHBMIBCwlJUUsb+rUqQwAa9q0KXv27BmfnpOTw3x8fPh9BgYGStRFlpLXu3379uz169d8Xnp6OuvYsSMDwAYNGiSx7d69e9m7d+/E0oqKitivv/7KALBmzZqxoqIisXxR+5dWR1G7KSkpSXyOieqrpaXF3r9/z6ffv3+fAWA2NjZi5RctWsQAsBYtWjAALCYmpsxtUlJS2OnTp1lhYaFYenZ2Nhs+fDgDwCZOnCiW9+DBA8ZxHDMwMGC5ubkS5zR9+nQGgE2ePFnmeefm5rKMjAz+lZKSwgCwtLQ09uHDB3qVeOXl5bGAqwFsxNURlXqde3Guxs/la3+lpaUxAHL/X2O1d4lcLyIbTUhDyBcqICAAAQEBEult2rTBmjVr4OjoKPe+CgoKsHjxYgBAUFAQunbtKlGmbdu2Yn8vXboUeXl5WLVqFby8vMTyzM3NsW3bNrRt2xbr16//JL+U//TTT2jYsKFEekXq+erVK2zcuBEAcODAAf5phwjHcXBxcRFLCwwMBGMMmzdvRufOncXybG1tsXr1agwcOBAbNmyAs7OzRD379u0LPz8/sTRfX1/s378fISEhWL9+PYKCguRsjeKnpY8ePYKRkRHWrl0rNu7NysoKq1atgo+PDzZs2ID58+dDRUVFbHslJSUEBQVBU1NT7mMC4J+m9u7dWyJPVVVVom1k2bZtG969e4cOHTrg22+/Fcvr3LkzJkyYgFWrVpW6jx9//BHt2rUTS5s9ezbWrl2LBw8eICUlBaampnyetOsCAI0aNcL8+fMxbtw4HDhwQOK9UFFeXl4YN26cWJroCdyJEycQERGBYcOGAQBycnKwZcsWAMCaNWtQv359fhsVFRVs2rQJx48fx/v37ytcn99++w1169bl/9bW1sbmzZthZ2eHffv2YeXKlWJPj319fSX2wXEcJk6ciF27duHy5cu4d+8emjZtWqH6TJ48Ge7u7mJpI0aMwPLlyxEfH4/r16+jU6dOAICGDRvC1NQUCQkJePz4MT+G9fTp01BRUUFgYCC8vb1x6tQptGrVis8DxJ8aAoCJiYnUp+Rqamr47bffsGfPHuzfvx+//vorn2djY4NevXrh+PHj2L9/P4YOHcrn5eTk4I8//gDHcfjmm29knu+yZcv4brclhYeHf5ETNlVGIQrBjCr/dCjmVgzS30vvNk0+jfJ+ZgkE1GW0sig4JOQL5ejoiAYNGvB/p6Wl4datW7h27RqmTp2K3bt3w8bGRq59xcTEIDU1FXp6eujfv3+Z5YuKihAWFgZA+hdEAHBwcICGhgZiY2ORm5srEXxUNW9v7yqrZ0REBD58+IDWrVujdevWZR47LS0NV69ehaqqKjw8PKSWEY2p+7irnYi/v7/M9JCQEERGRpZZj5JE5QcNGgShUHJGPi8vL+jo6CA9PR0xMTESPybY29vDysqqXMcEin9EOH78OCZMmIBFixbB2dm5Qtf+3LniLmMfB8wifn5+ZQaH0q6FUCiElZUVYmNj8fTpU7HgEADevXuHsLAwxMbGIi0tje92+/x58dT30sbSVZSse6VJkyY4ceIEnj59yqfFxMTg3bt30NPTg6urq8Q2+vr66NGjBw4dOlShutjZ2Yl1SRaxtbWFvb09bty4gfPnz2PIkCFi+f/99x9OnDiB//77D1lZWfw4VtGPBPfv369wcFha+8THx4u1D1Ac5G3fvh2nTp3CqFGjkJ2djStXrsDZ2Rlubm5QUlLC6dOnMXPmTACyg0ORqKgoXLhwAY8fP8b79+/5LqnKyspITU1Feno6dHR0+PJTpkzB8ePHsXHjRrHgcM+ePUhPT0ePHj3QqFEjmec7e/Zssa7LmZmZMDU1haura7l/pPkaHIs7hiJULlBwaOGA9nXbV1GNSEWIun3Li6M1DCuNgkNCvlDSlrIoKCjAggULsGzZMjg7O+P+/fuoU6dOmfsSjVVq1KiR1Ak+Pvb69Wv+A/3jL9eyylfndP4GBgZSf1mvaD1F7dG4cWO5jp+UlATGGHJycqQGYiVJG7sFAJaWlqWmP3nyRK66iIi+OMvaL8dxsLS0RHp6usSXbABSF3WXx/fff4+LFy/i9OnT6NmzJ5SUlGBnZ4fOnTtj0KBBaNOmjVz7EZ2vrHrIUz9ZM6CKvmjn5oovln3kyBEEBARInXhJpLxfZKqqfmW1R1l5ZZF1n4jybty4IXYPFhYWYtKkSfj9999lTp4DVK69ynv9RMHh6dOnMWrUKJw7dw75+fno0aMH1NXV0b59e1y8eBG5ublQVlZGREQEFBQU0K1bN7H9vHr1Ct7e3rh48WKp9cvMzBQLDnv06IEmTZogOjoaMTEx/A9LoieMkyZNKnV/QqFQ6ueHkpISzXgrhZmaGZLfJ1dqHxZ1LKhta1h5219Ak81UGgWHhHxFFBUVsWTJEmzZsgXPnz/Hzp07S+3GVFFFRf/7cJb1xKuksgKmylJVVZWa/qnqKTqOhoaG1CeYVaG0L+DVQVablkVNTQ2nTp3CtWvXcOLECURFRSEqKgrXr1/H6tWrMXHiRLHueGWR9WOFPD9iKCjIPyfb06dP4evri5ycHPzwww/w8/ODhYUFNDQ0oKCggPDwcLi5uVXpdShP/URKO2952qQySp77unXrsHnzZhgaGmL16tXo2LEj6tWrxz8lHjJkCP76669KtVd528fFxQUcx+HMmTNgjPFPBnv06AGgOHi8cOECLl68CE1NTbx9+xZt2rSBtra22H5Gjx6NixcvokOHDli0aBHs7Oygo6PDf4k1MjLC8+fPJc6N4zhMnjwZEydOxMaNG7F9+3ZcvnwZsbGxsLCwkOgiSyqni0EXBCcHV3h7Gw0bmKqV/aMh+bwoUrfSSqPgkJCvjIKCAiwsLJCWloZ79+7JtY3oF/oHDx6AMVbml0w9PT2oqqoiJycHq1atgp6eXqXrXR0qWk9Re8THx8tVXvRUUjQlfkW+9CclJUmMbQTAL4Mgz0yhJYme1D58KHs2vqSkJLGyValNmzb8U8KCggIcPHgQw4cPx6ZNm+Dj4yN1XGtJxsbGuH//vsQyECKy0ivqyJEjyMnJQf/+/bF8+XKJ/ISEhCo9XnmJrlFp512ZNhHdC6Xtt+Q9KFra4/fff4enp6fENjXRXvXq1UPz5s3x77//4ubNmzh9+jT09PT47rLdu3dHYGAgTp8+zT99/LhLaXZ2No4fPw4FBQUcP35cInDMzs7GixcvZNZh+PDhmDNnDvbu3YtVq1bxY5cnTJhQoc8FIlv7uu2xL2Uf3hdWbJxtV4PSP4PI50mBupVWGn0SEfKVKSoq4r/MaWhoyLWNg4MD9PT0kJqaioMHD5ZZXiAQ8L/GV2T9t0+lovXs1q0blJWVERMTgxs3bpRZ3sjICC1atEBWVhZOnDhRobr++eefUtNFa7p9vA6gsrIyANnrWYrK//333xLd7wAgNDQU6enpqFOnjlzjKitDUVERPj4+cHNzAwDExcWVuY1o4pq//vpLav6ePXuqrH4A8ObNGwDFkxR9jDFW5ccrr9atW0NNTQ2pqakSyzUAxeNeT506VeH937p1C7du3ZJIv3PnDm7cuAEFBQWxyYRKa687d+7IvMZl3beVJQr2du/ejdu3b/NPE4Hi8bCampo4deqUzPGGGRkZKCwshKampkRgCAC7du0q9Wmouro6Ro0ahdzcXPz00084cOAAVFRUMGrUqCo6QyIiFAjhXr9iT2PN1MzQRke+Lu7k86KkUCjXi8hGwSEhX5GCggLMmzcPaWlpACD1F31pFBUVMXfuXADA2LFjcf78eYky165dExtzFBgYCGVlZXz//ffYsWOHWBdOkdu3b0ssSv2pVaSeBgYGmDBhAgBgwIABuH37tlh5xhjOnj2LjIwMPm3JkiUAimeRPXLkiMQxGGOIjo5GeHi41HqGhoZi7969YmkHDhxASEgIFBUVMXnyZLE80VOcO3fuSN3fgAEDYGZmhmfPnmHatGliX8aTkpIwffp0AMUzQlblZEGbNm2SOmnLixcvcP36dQDSA4qPjRo1Cmpqarh48aJEN9RLly5V+ULiTZo0AVDc5qLJZ4DisXULFiyQOZHQp6KmpobRo0cDAKZOnSq2xmZeXh4mTZqE7OzsCu+fMYYJEyaILXifkZGBCRMmgDEGb29vsXG7ovb69ddfxd5Tz58/x/Dhw2UGf2Xdt5UlCvY2btwIxhj/4xBQ/Dnn7OyMuLg4XLp0CaqqqhITMdWrVw86Ojp4+/atxA82V65cwezZs8usw6RJk6CgoIDVq1fjw4cPGDx4MHR1davg7MjHetXvhW4G3couWIK+UB/f2XwHRQXqXFcbKQqK5HoR2Sg4JOQLtXXrVowYMYJ/eXh4wMrKCsuWLQMAzJ07Fx07dpR7f1OmTMH48eORlpYGZ2dntGrVCoMHD0afPn1gbW2Ntm3b4r///uPLt2rVCrt27QJQPL28ubk53NzcMHToUPTu3RumpqawtbWt8SeLFa3nihUr4OnpiYcPH8LOzg4dO3aEn58f3NzcYGpqChcXF7Ev0h4eHli3bh3evHkDT09P2NjYwN3dHX5+fnB1dYWhoSHat2+Ps2fPSq3nlClTMHjwYLRt2xZ+fn5o3749BgwYgKKiIqxYsQItWrQQK9+vXz8oKChg/fr16NGjB0aOHInRo0fj8OHDAIrHTx44cAB169bFb7/9hgYNGmDQoEHo06cPmjZtiqSkJLi5uSEwMLAqmxtBQUFo3LgxrKys4OnpiaFDh8LNzQ1WVlZ48uQJunXrJtePFiYmJvj999+hoKCASZMmwc7ODkOGDEGXLl3QuXNnjB8/HkD5JzOQxcPDA61bt8aTJ0/QsGFDuLu7w9fXF9bW1li+fDk/w2VNWrp0KVq3bo3bt2+jQYMG6Nu3L3x9fWFlZYUzZ87w42pFT+fKw9PTEy9evICVlRW8vLzg7e0NKysrXLhwATY2Nnz3SJE5c+ZAWVkZW7ZsQaNGjeDr64tevXrB2toaeXl5Mmc9dnNzg7q6Og4ePAgnJycEBARg9OjR2L59e/kbRApnZ2coKSnxT8tLBodAcfBYVFSEDx8+wMnJSWKcsUAgwIIFCwAUdxFt3749hgwZAicnJ3Ts2BHu7u5l/rhhYWEhdo+XNRENqZxh5sPQ37g/FLmyg71GdRphXpN50FHWKbMs+TwJFIrkehHZKDgk5At16dIl7Nixg3+Fh4dDQUEBvr6+iIiI4J9kyYvjOPz2228ICwtD37598ezZM4SEhODatWvQ09PDokWLJAKUAQMG4M6dO5g6dSq0tbVx6dIlhISE4O7du2jQoAF+/vlnLF26tCpPu0IqUk9lZWUcPHgQe/bsQffu3fHgwQPs378ft27dgpWVFVauXAlDQ0Oxbb799lvExsZi7Nix/MQYBw8eRGJiIuzt7bF+/XqJNftEpkyZgn379kFRURGHDx/G7du30alTJxw5cgRTp06VKN+iRQuEhISgQ4cOiI6ORnBwMLZt2ybWDbZNmzaIi4vDN998A4FAgNDQUFy4cAH29vb47bffcPTo0QoFEqVZunQpJkyYAG1tbVy5cgX79+/H3bt30a5dO+zYsQMnTpyAoqJ8v9gPHToUZ8+eRY8ePZCcnIxDhw4hKysLW7Zs4duxqsa7KioqIjIyEnPmzIGxsTHOnDmDyMhI2Nvb4/Lly+jZs2eVHKcyNDQ0+DoaGBjgxIkTOH/+PFxcXBATEwOBQACgYm2io6ODK1euwNfXF9euXcPRo0ehrq6Ob7/9FleuXIGBgYFY+Xbt2uH69evw9PREdnY2Dh8+jMTEREyePBmXL1+WufRCvXr1EBYWhu7du+Pu3bvYuXMntm3bxi9dUlmiWUmB4rUHP57xtGQ3UllLWHz33Xc4ePAgOnbsiPv37+PIkSPIy8vDr7/+ih07dshVD1EX6g4dOvDrKpLq42nkiV/sfoGPiQ/0lMXvfyVOCU56TpjfZD5mNZ4FTSVaFqQ2o26llcexTz3FHSGEELlZWFjg0aNHSEpKqtRSBF+bnTt3wt/fHx4eHvzT0q9Zfn4+mjdvjgcPHiAmJkbugCQ4OBgBAQHw9/dHcHBw9VbyK+Lk5IRLly5hz549GDx4cIX2kZmZCS0tLWRkZNA6h+VQxIqQkZ+B94XvocQpQUtJC0JB9c6YTSquvPe527nv5NrvSee1lavYF4yeHBJCCKmVHj9+LHVmyEuXLmHGjBkAisd4fk1iYmIkxs2+e/cOkyZNwoMHD9CiRQt6UlXDwsLCcOnSJZiZmcHHx6emq/PVUeAUoKOsA2NVYxioGFBg+IVR5IrkehHZaLQtIYSQWuns2bMYNWoU7OzsYGZmBoFAgMTERNy8eRNAcWAoa2zbl8rb2xvv37+Hra0tDAwM8OrVK8TFxeHNmzeoW7cuPf2rIa9fv8bMmTORnp6O48ePAyget0wLrBNStZQF1GW0sig4JIQQUiu1b98eAQEBuHDhAiIjI5GdnQ1tbW10794dI0eOrHB3vdps2rRpCA0Nxd27d3Hp0iUoKCjA3NwcQ4cOxYwZM8RmFCWfTlZWFrZt2wZFRUVYWVlh+vTp8PX1relqEfLFUabxhJVGYw4JIYQQQmoZGnNIvgblvc/9osfItd/d7bZUtmpfLHpySAghhBBCCKn1lBWkr6FK5EcT0hBCCCGEEEJqPaFCgVyv0jx9+hRDhw6Frq4uVFVVYWtri+vXr3+iM6h59OSQEEIIIYQQUuspVXIm0vT0dDg6OqJr164ICwuDvr4+EhISoKOjU0U1/PxRcEgIIYQQQgip9YSCynUrXb58OUxNTbF9+3Y+zdLSsrLVqlWoWykhhBBCCCGk1lNTYNAUKIq96ggEEmmyHD58GA4ODhgwYAAMDAxgb2+PLVu+rslr6MkhIYQQQgghpNbrVq8/uhiIL2OUnP0vLNRt5dr+4cOH+O233zBt2jTMmTMH165dw7fffgtlZWX4+/tXR5U/O7SUBSGEEEJILUNLWZCvQXnv8xX3PCHglD5KZQA4sZTpjUOkbq+srAwHBwdERUXxad9++y2uXbuGy5cvl7f6tRJ1KyWEEEIIIYTUekrIhQLL+uj1TiJNlvr166Np06ZiaU2aNMHjx4+ru+qfDepWSgghhBBCCKn1lLjKTUjj6OiI+/fvi6U9ePAA5ubmldpvbULBISGEEEIIIaTWU1HIr9T2U6dORceOHfHTTz9h4MCBuHr1KoKCghAUFFRFNfz8UXBICCGEEEIIqfWEXOWCwzZt2iA0NBSzZ8/Gjz/+CEtLS6xduxZ+fn5VVMPPHwWHhBBCCCGEkFpPmSus9D7c3d3h7u5eBbWpnSg4JIQQQgghhNR6le1WSig4JIQQQgghhHwBVLgPNV2FWo+CQ0IIIYQQQkitp1QF3Uq/dhQcEkIIIYQQQmo9lUpOSEMoOCSEEEIIIYR8AVQquc4hoeCQEEIIIYR8RhgrRFbeNeQXpgFQgFDRBBrCFjVdLVILKHFFNV2FWk+hpitACPm8cRxX7leXLl0AAJGRkWJ/l8eNGzewatUqDB48GA0bNoSCggI4jsOuXbuq9gRrkKi95GFhYVHu62BhYQEASE5OFvtbXvn5+Thz5gy+//57tGnTBtra2lBSUoKhoSE8PT1x7Nixcp7xp9WlSxdwHIfIyEix9IULF4LjOCxcuLDKjlVaG5d2naOiouDq6oq6devy93hwcDCff+TIEXTq1Amampr8fj4+ny9dRe/fyqiOe4SULb/wDZ5mbETc086493Iw/kubjP/SvsGdF31x61lPvMzahcKinJquJvmMqXBFcr2IbPTkkBBSKn9/f4m0Fy9e4OTJkzLzGzduXOnj/vjjjzh06FCl9/Ol8PHxQVpamljau3fvEBISAgDw9vaGhoaGWL6enl6ljnnu3Dn06NEDAGBoaAgnJyeoq6vj7t27OHLkCI4cOYKxY8di8+bNcge55H+ePXuGPn36ICMjA05OTrCwsICCggIaNGgAAIiLi4O3tzeKiorQrVs31K9fHxzHwdDQsIZrXrUsLCzw6NEjJCUlfZIAMDIyEl27doWzs/NXF2h/zrI/3MX9VyORX/hSan5O/n0kv5mPV1l/oZHBdigrGnziGpLaQIVjNV2FWo+CQ0JIqUo+xRCJjIzkg0Np+VWhffv2aNasGVq1agV7e3uMHDkS586dq5Zj1QarVq2SSEtOTuaDw1WrVlX5F2sFBQV4e3tjypQp6NSpk1je33//DT8/PwQFBcHR0RHDhw+v0mN/Se7duyc1PTw8HG/fvsWQIUOwe/duifyDBw8iPz8fc+bMwdKlS6u7mp8tY2Nj3Lt3D0pKSp/smJMmTcKgQYMq/QMLkU9ufhLiXw5DQdGbMsu+z7+L+FfD0NRwPxQVND9B7UhtogT6obKyKDgkhHyWZs2aVdNV+Op169YN3bp1k5rn6+uLU6dOYdu2bdi5cycFh6WQ9ST98ePHAAAbG5sK5X8tlJSUqqQ3Qnno6elRYPgJJb8JlCswFMnJf4Cnb9fDvO68aqwVqY1UOEFNV6HWozGHhJBPIj8/H8uXL0ezZs2gqqoKXV1deHl5yXyqUh3u3r2LwMBAODo6wtjYGMrKytDV1UX37t2xb98+qduUHDdZkXO4fPkyevXqBW1tbWhoaMDBwQF//PFHdZ1imRhjCAoKQuvWraGurg4tLS24urri8uXL5d6Xvb09ACAlJaVC9fjnn3/g7u4OQ0NDKCsr811Xly9fjpwcyXFFMTEx8PPzg5mZGYRCIerWrQs3NzccP3683MevqKNHj8LZ2Rl16tSBlpYWOnXqVGb354/HHAYHB4PjOAQGBgIAFi1aJDZOVDTebfv27QCAgIAAifG8Iunp6QgMDETLli1Rp04dqKmpwdbWFkuWLMH79+8l6lJyLN3jx48xatQomJqaQklJCSNGjBAre+DAAfTs2RP6+vpQVlaGsbExhg4dirt370rst+S4QHnvMVE7PHr0CABgaWkpNmZW1OWztDGHV69exQ8//IC2bdvy91G9evXg4eGB06dPS5Tv0qULunbtCqC427S0Mboft5M0J0+ehLu7OwwMDKCsrAwjIyP4+vri+vXrUsuXHP8aFxcHLy8v6OnpQSgUomnTpvjll1/A2NfZHS43PxkZuRfLvV1q9gEUFeVWQ41IbSbkFOV6EdmodQgh1S4/Px+9e/dGVFQUOnfujCZNmuDq1asIDQ1FREQEYmNjP8lYo9WrV2Pbtm1o3LgxbG1toa2tjcePHyMiIgJnzpzBlStXsHr16io7h/3792Pw4MEoLCxE8+bNYWtri5SUFIwePRp37typ9vOVJiAgAHv27EGnTp3g7u6OuLg4nDp1CufPn8e5c+fQrl07ufeVkJAAAKhfv3656pCfn49Bgwbhn3/+gYKCAtq2bYtu3bohLS0Nd+/exaxZs+Dr6yvWnuvWrcO0adNQVFSEli1bol27dnjx4gUiIyMRHh6ORYsWYcGCBeWqR3mtWbMG06ZNAwC0bdsW1tbWSEhIQL9+/fh0eTRo0AD+/v6Ii4vDzZs3YWdnh5YtWwIofmLVsmVL+Pv74+LFi0hMTISjoyM/DrHkE7S7d++iZ8+eSElJQf369eHk5AQlJSVcvXoV8+fPR0hICCIjI6GlpSVRh4SEBNjb20NZWRmOjo5gjPFPygoKCuDn54d9+/ZBKBSidevWMDY2xoMHD7B79278888/+Oeff9CzZ0+p5yfvPSZqhwMHDiA7O1ti3Kw8YyvnzJmDiIgINGvWjA9GExMTcfToURw9ehRr167FlClT+PI9e/aEiooKTp48iXr16omdg7xPCufPn48lS5aA4zh07NgRZmZmuHfvHvbt24eQkBAEBQVh5MiRUrc9efIkVq9eDWtra/To0QPPnz/HxYsXMWPGDKSkpGDt2rVy1eFL8urdHgDlD4wLizLw+v1R6Gv4VH2lSK2lRE8OK48RQkg5RUREMBT/by53OXt7e/b8+XM+Lycnh7m5uTEAbOzYsWUe09nZmQFgf/75Z4XrHRkZyRITEyXS4+PjmYmJCQPAoqOjq+Qcnj9/zurUqcMAsNWrV4vlnT59mqmoqMjVhqVJSkri95GUlCRXOXNzc3b//n0+r6CggI0cOZIBYK6urnIf+/nz50xLS4sBYOvXry9XvadNm8YAMAsLCxYXFyeWV1RUxE6fPs3evn3Lp504cYJxHMf09PTYuXPnxMrfunWLv3aRkZFieaJ7JiIiQiw9MDCQAWCBgYFy1/nmzZtMIBAwBQUFtn//frG8Xbt2MY7j+Pb9mKzrXFY9/P39GQC2fft2ibz3798za2trBoDNmzeP5eXl8XnZ2dls8ODBDAALCAiQekwAbOjQoSw3N1di33PmzGEAWLt27djDhw/F8vbv388EAgHT0dFh6enpfHpl7jFzc/NS72HRvqW17fHjx9mzZ88k0qOiopimpiZTUlJiT548EcsTvaednZ2lHo8x2dcmLCyMAWAqKiosPDxcLG/r1q0MAFNSUmK3b98WyxPdiwDY5s2bxfLOnDnDOI5jAoGApaSkyKxTbm4uy8jI4F8pKSkMAEtLS2MfPnyota87z/3YlWSLCr0epi6s8frTq3pfaWlpDADLyMiQ+d4gVYueHBJCqp2oi1zJJwEqKipYtGgRTp48KbX7V3VwdnaWmt6oUSPMnz8f48aNw4EDB9C2bVuJMuU9h23btiErKwvt27fH1KlTxfJcXFwwbtw4rFu3rgrOqnw2bNiAhg0b8n8LBAIsXboUf/zxB86dO4f8/PwyJ/4oKCjA0KFDkZGRAVtbW4wbN07u47969QobN24EUNxt0c7OTiyf4zi4uLiIpQUGBoIxhs2bN6Nz585ieba2tli9ejUGDhyIDRs2yLzGlbVhwwYUFhbC19cXPj7iTyr8/Pywf//+Tzq77o4dO5CYmAh3d3csXrxYLE9NTQ1BQUE4c+YM/vzzT/zyyy/Q0dERK1O3bl1s3LgRQqFQLP3NmzdYs2YNVFRUEBISAmNjY7F8Hx8fjBs3Dps2bcKuXbswadIkibpVxT0mr169eklN79ChA7755hssW7YMhw4dwsSJE6vkeKKJoSZOnMjP5CsyatQoHDx4EEePHsW6desQFBQksb2Xl5fE+6Vbt25wc3PDiRMnEBERgWHDhkk99rJly7Bo0SKJ9PDwcKipqVX0lGpc3QbPoaxRdjlpkh89wK0nn65bOfn0pHWPJ9WLgkNCSLUzMzOTCAIAoEmTJgCAp0+ffrK6vHv3DmFhYYiNjUVaWho+fPgAAHj+/DkA4P79+1K3K+85iMZL+fn5Sd2fv7//Jw8OFRUVpXYFNDQ0hI6ODtLT0/H69esyu/ONHz8eZ86cga6uLg4cOABlZWW56xAREYEPHz6gdevWaN26dZnl09LScPXqVaiqqsLDw0NqGdE4vKioKLnrUV6i6zl06FCp+f7+/p80OBStMenr6ys1XzS+9fjx47h27RpcXV3F8rt37y61u2lERARycnLg4uIiERiKdOnSBZs2bUJUVJREcFhV91h5vH79GseOHcPt27eRnp6O/Px8AP/r9izrPV1eBQUFuHTpEgBIjM8UGTVqFI4ePYqIiAip+bLu4SZNmuDEiROlfhbOnj1brPtyZmYmTE1N4erqCk3N2jtr53+vDyEz72GFtrW0aAbjFr2ruEbkc5KZmVnTVfjqUHBICKl2ZmZmUtNFX2jy8vI+ST2OHDmCgIAAvH79WmYZWf8Rlfccnjx5AqB4kg1pZKVXp/r168t8YqOpqYn09HTk5pY+wcOUKVOwbds26Ojo4NSpU2JPiOQhmnxE3tknk5KSwBhDTk6OxFOuj6WmpparLuXxuV3Phw+Lv0wPGzZM5pMmEWntImuMr2i/Z86cKXPtSmn7rYp7rDy2bNmCqVOnIjs7W2aZqvpy+fr1a77usq63tbU1ANk/eJX1OVJa2wiFQqnvASUlpU+6zEdVq6veFZl50oPpsrftVqvPnZSNru+nR8EhIaTaKSjU/MTIT58+ha+vL3JycvDDDz/Az88PFhYW0NDQgIKCAsLDw+Hm5iZzxsDP4Rwqq7LnMH36dKxfvx7a2toIDw/nZyutTkVFRQCKn4R5e3tX+/FqC1G79OzZE/Xq1Su1rLm5uUSaqqpqqftt0KABHB0dS92vtAD/U75PYmJiMG7cOAgEAixfvhweHh4wMzODmpoaOI5DUFAQxo0b91nNAvolfI5UNT31/nicvgJF7F25tlNVagRNlfbVVCtCvl4UHBJCvgpHjhxBTk4O+vfvj+XLl0vki7qgVRVjY2PEx8cjOTlZar6s9M/VDz/8gNWrV0NLSwvh4eFwcHCo0H5ET07i4+PlKm9qagqgeCziH3/8UWNfro2NjZGYmIjk5GQ0a9ZMIv9TX09TU1PEx8dj1KhREmMgK7tfoHgcbnBwcJXttzrs378fjDFMnjwZP/zwg0R+Vb+ndXV1IRQKkZeXh4cPH6JFixYSZURPXmV1ySWSBAoaMNDwxYusbeXazlBT+oywhJDKoZ+wCCFfhTdvihdYlvYUhTGGPXv2VOnxRBOj7N69W2r+zp07q/R41WnWrFlYuXIltLS0cOrUKbRp06bC++rWrRuUlZURExODGzdulFneyMgILVq0QFZWFk6cOFHh41bW53Y9RROxyFqfs6JcXFygrKyMyMhIvHr1qkr3LYtozGpBQUG5tivtPZ2bm4uQkJAqPZ6ioiKcnJwAQGbgLFrDVLSWIpGPqc4P0FQp/Ul1SQYafjDQGFiNNSLk60XBISHkqyCaOObAgQP85DMAUFhYiAULFlT5ZCajRo2ChoYGLl++jPXr14vlRUZGYvPmzVV6vOoyb948LF++HNra2pUODAHAwMAAEyZMAAAMGDAAt2/fFstnjOHs2bPIyMjg05YsWQKgeP28I0eOSOyTMYbo6GiEh4dXqm6lmTx5MgQCAfbt24fQ0FCxvL179+LgwYPVdmxpxo4dC3Nzc+zfvx8zZ85EVlaWRJkXL15gy5Yt5dpvvXr1MHnyZGRnZ8PDwwP//vuvRJm8vDwcPnxY7qe/ZTExMQGAcq/9KXpP79ixQ+z8c3NzMXHiRCQlJZV6vISEBH7yGnlNnz4dAPDbb7/hzJkzYnnBwcE4fPgwlJSUxNZWJGVT4JTRyGAbdNX7ApA91pWDEow0v4FF3cUyyxBCKoe6lRJCPkvHjh0Tm6L/7t27AICFCxfySyEAwJUrV+Tan4eHB1q3bo2YmBg0bNgQzs7OUFdXR3R0NJ49e4aZM2dK7W5aUUZGRtiyZQuGDh2KKVOmYOvWrWjevDmePn2KCxcu4LvvvsOaNWuq7HjV4fDhw1i6dCmA4jFov/76q9Ryenp6/BT/8lixYgWSkpJw+PBh2NnZoV27drC0tERaWhru3LmDp0+fIikpiZ9N08PDA+vWrcP06dPh6emJBg0aoFGjRtDS0kJqaipu3ryJV69eYebMmRKzclaVli1bYtmyZfjhhx/g5eWFdu3awdraGgkJCbh27RqmTp36Sa+nuro6jh07Bnd3d6xYsQJBQUFo0aIFTExM8P79ezx48AD37t2DgYEBxowZU659//zzz3j+/Dn27NmDli1bws7ODlZWVlBUVMSTJ08QFxeH7OxshIWFyT2xUGm8vb0RERGBoUOHwtXVlV924/vvv0ejRo1kbhcQEIB169YhNjYWlpaW6NSpEwQCAS5cuICcnBxMmTJF6ozAZmZmcHBwwPXr12FrawsHBweoqKhAT08PP//8c6l17dWrF+bNm4clS5agR48ecHR0hJmZGeLj43Hjxg0IBAJs3rxZatdjUjoFTogGemthrPUtXmXtxuvsw8gveg1AAUJFI+ir+0C/zmAoC/RruqqEfNEoOCSEfJZSU1MRHR0tkZ6YmIjExMRy709RURGRkZFYtmwZQkJCcObMGWhqaqJjx44ICQlBVlZWlQaHADBo0CCYmJhgyZIluHz5MhITE9GoUSNs3rwZY8eO/eyDQ1G3PQC4fv06rl+/LrWcubl5uYJDZWVlHDx4EHv37kVwcDBiYmJw/fp16OrqwsbGBt99953EUgfffvstunXrhg0bNiAiIgJnzpyBgoICDA0NYW9vjz59+lT7hDWiYGXlypWIjY3FnTt30KJFCxw4cACtW7f+5NezWbNmuHXrFjZv3ozQ0FDcunULly9fhp6eHkxMTDBjxgz079+/3PtVVFTE7t27MXToUGzduhXR0dG4ffs21NXVUb9+fXh4eMDT01NizcmKmjBhArKysrBr1y4cP36cn7Fz6NChpQaH2trauH79OgIDA3Hy5EmEhYVBV1cXrq6uCAwMxMWLF2VuGxISgtmzZyMiIgJ///03CgoKYG5uXmZwCACLFy+Go6MjNmzYgOjoaFy5cgV6enoYMGAAZsyYIXWdVCI/VSUrmNedD/O688FYEQCuzJlzCSFVh2Of0zRehBBCCCGkTJmZmdDS0kJGRkatXueQkNLQff7p0ZhDQgghhBBCCCEUHBJCCCGEEEIIoeCQEEIIIYQQQggoOCSEEEIIIYQQAgoOCSGEEEIIIYSAgkNCCCGEEEIIIaDgkBBCCCGEEEIIKDgkhBBCCCGEEAIKDgkhhBBCCCGEgIJDQgghhBBCCCGg4JAQQgghhBBCCCg4JIQQQgghhBACCg4JIYQQQgghhICCQ0IIIYQQQgghoOCQEEIIIYQQQggoOCSEEEIIIYQQAgoOCSGEEEIIIYSAgkNCCCGEEEIIIaDgkBBCCCGEEEIIKDgkhBBCCCGEEAIKDgkhhBBCCCGEgIJDQgghhBBCCCGg4LBMFhYW4DgOwcHBUvNTU1Ph4OAAjuPQrFkzPH369NNW8BMaMWJEqW1BSG0RGRkJjuPQpUuXmq5KpXEcB47jyrWN6HMtOTm5eipFvoh7rDruk6dPn2LYsGEwMjKCoqIiOI7DiBEjqmz/VaUi7ytCCPkSUHBYCSkpKejUqRNiYmLQtm1bnD9/HsbGxjVdLULIJxYcHPzZfskl5HPBGIOXlxd27doFHR0d+Pr6wt/fH05OTp+0Hl26dAHHcYiMjPykx/1SFBW9Q0F+AgoLntR0VQgh1UCxpitQW92/fx89evRASkoKunfvjtDQUGhoaNR0tarVsmXLMGvWLNSvX7+mq0JIpbRt2xb37t2DmppaTVeFfKG+hHvszJkzyM/Pr7IfPR89eoSrV6/CzMwMN2/ehKLi5/sV5N69ezVdhc9OQf5/ePduI3LfHwaQCwBQVGoONfVRUFP3rdnKEUKqzOf7yfwZu3HjBnr27InU1FR4e3tjz549UFZWrulqVbv69etTYEi+CGpqamjcuHFNV4N8wb6Ee8za2rpK9/f48WMAgKWl5WcdGAKo9deuqn34EIv0tMFgLFMsvSD/NjLfTkX+hxvQ0lleQ7UjhFQl6lZaTufPn0fXrl2RmpqKMWPGYN++fVIDw0ePHmH58uXo1q0bzMzMIBQKoa2tDScnJ/z+++8oKiqS2CY5ORkcx8HCwgIFBQVYsWIFmjVrBlVVVejp6WHgwIGIj4+XWbcnT55g8uTJsLGxgYqKCrS0tODo6Ijff/8dhYWFUrfZv38/unfvDl1dXSgpKUFXVxdNmzbFmDFjcOvWLbGyFR1zWJ5jVLbdCgsLsXr1atjb20NDQ0NizMiDBw8wceJENGrUCGpqatDU1ETTpk0xceJE3L59W2Lf8fHxCAgIgLm5OYRCIerWrQsXFxfs27dP6rkuXLgQHMdh4cKFePbsGUaPHg0jIyOoqqqiefPm2LZtm9i+hwwZAkNDQ6ioqMDOzg5///231P3evXsXgYGBcHR0hLGxMZSVlaGrq4vu3bvLrIs8Tp8+jcmTJ6Nly5bQ09ODUCiEiYkJfH19ce3aNanbFBUVISgoCI6OjtDW1oaSkhIMDAxgZ2eHyZMnS4xPev78OaZMmYKGDRtCRUUFampqMDU1hYuLC1atWiX1GFevXsXAgQNhZGQEZWVlGBgYwMPDA6dOnSr1fM6ePYsBAwbAxMQEQqEQ+vr6aNOmDQIDA/H69Wu+XGnjwcrbJhYWFggICAAA7Nixgx+rJGv/Bw4cQM+ePaGvrw9lZWUYGxtj6NChuHv3rszzunz5Mnr16gVtbW1oaGjAwcEBf/zxR6ltIa+IiAi4urpCR0cHqqqqaNWqFXbu3FnqNuU5B3nfnyXHt4WGhsLJyQmampqoU6cOunTpguPHj1dZnQAgJiYGvr6+MDExgbKyMjQ1NWFlZQVvb28cOnSILzd48GBwHIeff/5Z5rGPHj0KjuNgb2/Pp8m6x+Rtj7LGvMnqGpmRkYF58+bB1tYW6urqEAqFMDIygqOjIxYsWID8/HyZ+/yYrDGHJY8dFxcHLy8v/r3StGlT/PLLL2CMSZyzs7MzAODcuXNi75OP91+R90h6ejp+/PFHODg4QEtLC6qqqrCyssLAgQMRFhYG4H/X5Ny5cwCArl27itWj5P9tpbX/mzdvMGfOHDRr1gxqamqoU6cOWrdujRUrViAnJ0eifMl7IT8/H8uXL+f/b9fV1YWXl9dn/aSSsQK8fTNaIjAsKef9n8h5H/oJa0UIqTaMlMrc3JwBYNu3b2dHjhxhKioqDACbOXNmqdstXryYAWCWlpbMxcWFDRo0iDk7OzNlZWUGgHl5ebGioiKxbZKSkhgAZm5uzry8vJiSkhLr3r07GzRoELOysmIAmIaGBouKipI43tWrV1ndunUZAGZmZsZ8fX1Zz549+fq6ubmxvLw8sW0WLVrEADBFRUXWuXNnNnjwYNa7d2/WvHlzxnEcW7NmjVh5f39/vi3kVd5jVKbdzMzMmKenJ1NWVmYuLi5s8ODBrEWLFny53bt3M6FQyJf19vZm/fv3Z3Z2dozjOBYYGCi236NHj/Lt16hRIzZo0CDWrVs3JhAIGAA2cuRIifMNDAxkAFhAQAAzNDRkZmZmbODAgaxr1678dqtWrWKXL19mderU4ffboUMHBoABYHv37pXY76hRoxgA1rhxY+bm5sZ8fX1Zhw4dmIKCAgPApk6dKvc1Kcna2popKysze3t75unpyby8vFjTpk35a3bgwAGJbQICAhgApqKiwrp3784GDx7M3NzcmI2NDQPAQkND+bLPnz9nRkZGfJv37duX+fr6sk6dOrG6desyLS0tif0HBQXx52Vvb88GDx7MOnbsyLfPwoULpZ7L5MmT+TItW7ZkgwYNYr169eLfOxEREXzZiIgIBoA5OztXuk2mT5/OHB0dGQBmbW3N/P39+deyZcv4cvn5+WzgwIEMABMKhaxjx45swIABzM7OjgFgqqqqLCwsTKI++/bt4++d5s2bs8GDBzMnJyfGcRybNm0af87lIfpcmz9/PuM4jrVu3ZoNGjSItW/fnt/fx+/Nip6DvO9PUZ2mTp3KADAHBwc2ePBg1rZtW75O69evr5I6nT59mikpKTEAzM7Ojvn4+LD+/fuztm3bMqFQyPr27cuXPXnyJP/ek8XLy0uifrLuMXnbo6zr6uzsLHFfZ2dns+bNmzMATF9fn3l4eLBBgwaxLl26MENDQwaApaeny9znx0TXJCkpSeqxZ82axZSVlVmTJk34z2rRvTplyhS+fGpqKvP392dubm4MAKtXr57Y+yQ1NZUxVvH3SFxcHDM2NmYAmJaWFuvduzf/Gamqqspfg3v37jF/f39Wr149/v/FkvW4cOFCme2fmJjIt4u+vj7z9vZmnp6erE6dOgwAa9WqFXvz5o3YNqJ7oWPHjqx79+5MTU2N9ezZk3l7ezNTU1MGgGlra0u0c1kyMjIYAJaRkVGu7cor5/1h9vxJ/TJfaa/cq7Ue5Ov0qe5z8j8UHJZB9J9Anz59mKKiIgPAVq5cWeZ2V69eZf/++69E+tOnT/n/6Pbt2yeWJ/rSAIDp6emxmzdv8nkFBQX8l19zc3OWm5vL5+Xm5vL1HD9+PPvw4QOfl5iYyCwsLBgANmfOHLFtVFVVmYaGBouPj5eoZ3JyMrt3755YWnmDw4oco7LtZmJiwu7fvy+x/fXr15mSkhLjOI6tX7+eFRYWStTl+vXr/N8vXrxgWlpaDABbsmSJWEB67do1pqOjwwCwoKAgsf2IgkPRtcjPz+fzDh8+zACwOnXqMHNzc4n9rl27lgFgDRo0kKh/ZGQkS0xMlEiPj49nJiYmDACLjo6WyC9LaGioxBcZUbqioiLT1dVl79+/59MfPXrEt/Pz588ltrt79y579OgR/7fox4GxY8dKBPUfPnxgp0+fFku7desWU1RUZBzHsZ07d4rlHT9+nP+RIDw8XCxv/fr1DADT1dVlZ8+elahXdHQ0e/z4Mf93acFheduEMca2b9/OADB/f3+J7UTmzJnDALB27dqxhw8fiuXt37+fCQQCpqOjI/bl/fnz5/yXztWrV4ttc/r0af7Hi4oGh0pKSuzIkSNSz0VLS0viPCtyDvK8P0vWieM4tmvXLrG8vXv3Mo7jmKKiosTnQ0Xq1LVrVwZA4jiMMfb27Vt2+fJl/u/CwkJmZmbGAIili6SmpjIlJSWmrKzM0tLS+PSygsOy2qMiweGOHTsYANarVy+x/wdE5xEZGSnxI2FpygoOAbDNmzeL5Z05c4ZxHMcEAgFLSUkRyyvtfcdYxa7lu3fv+ABr+PDhLCsrS2y7t2/fslOnTkmtf8m2+5is9m/Xrh0DwDw9Pdm7d+/49FevXrFWrVoxAGzIkCFSz1v0g1fJz86cnBw+aB47dqzM+jBW/H9qRkYG/0pJSWEAWFpaGvvw4UO1vd6kTZYrOHz+pD7LzU2t1rrQ6+t7paWlUXD4iX3enf4/I8eOHQMA9O/fHzNmzCizfJs2baSmGxkZYcWKFXBzc8P+/fsxYMAAqeXmzZuHFi1a8H8LBAKsXLkS//zzDx49eoSQkBAMGTIEQHG3zUePHsHIyAhr166FkpISv52VlRVWrVoFHx8fbNiwAfPnz4eKigoyMzORk5ODFi1aoFGjRhLHNzc3L/Mcy1KRY1S23X766Sc0bNhQIn3JkiXIz8/H5MmTMXnyZKl1KVmfLVu2ICMjA61bt8bcuXPFyjo4OGDu3LmYMWMGVq5ciTFjxkjsz8zMDGvWrBEbV+Ph4YEWLVrg1q1baNKkCebMmSPWbembb77Bjz/+iP/++w+PHz+GmZkZnyfqjvWxRo0aYf78+Rg3bhwOHDiAtm3bSi0nS79+/WSmDxgwAH/99RciIiLQu3dvAMDLly8BAK1atYKhoaHEdk2aNBH7W1S+Z8+eEl20lJSU4OLiIpa2bt06FBQUwMvLC8OGDRPL69WrF8aOHYuNGzdi5cqV6NGjBwCgoKAAixcvBgAEBQWha9euEvUqT7uUt03k8ebNG6xZswYqKioICQmRmODDx8cH48aNw6ZNm7Br1y5MmjQJALBt2zZkZWWhffv2mDp1qtg2Li4uGDduHNatWyd3PT42efJkuLu7i6WNGDECy5cvR3x8PK5fv45OnTpV6hxKkvX+LKlv377w8/MTS/P19cX+/fsREhKC9evXIygoqFJ1Et2X0q6hlpYW2rdvz/+toKAAf39/LF68GNu3bxfLA4Ddu3cjPz8fPj4+0NXVLfXcPiZPe5SH6Lx69Ogh9v8AUHwesj5HKsrLywvjxo0TS+vWrRvc3Nxw4sQJRERESLyPZanotdy6dStSUlLQsmVL/PHHHxAIBGLbaWlpoXv37pU4y/+5ePEioqOjoaamhqCgIKirq/N5+vr6CAoKgoODA/bu3Yvly5fDxMREbHuO47B9+3axz04VFRUsWrQIJ0+exOnTp0s9/rJly7Bo0SKJ9PDw8Gqd+MjaMhl6ct7aZ84cR36+VrXVhXx93r9/X9NV+OpQcCinzp074/z58wgNDcVPP/2EOXPmlLlNXl4ewsPDce3aNbx69Qp5eXlgjCErKwtA8Yynsvj7+0ukCYVC+Pr6YvXq1YiMjOSDQ9GYk0GDBkEoFEps5+XlBR0dHaSnpyMmJgaOjo7Q19eHhYUFbt26henTp2PUqFFo2rSpPE0ht4oeozLt5u3tLZFWWFjIj1UbO3asXHUXtam06wAAo0aNwowZM5CQkIBnz57ByMhILL9r165QUVGR2M7Gxga3bt1Cr169JIIlRUVFWFhY4M2bN3j27JlYcAgA7969Q1hYGGJjY5GWloYPHz4AKB7TB5TeLqV59uwZjh07hvj4eGRkZKCgoAAAcOfOHX6/oi/RjRs3Rp06dXD8+HEsXboUQ4YMgaWlpcx9t23bFps2bcKsWbPAGIOrq2ups/qK2l3WkhCjRo3Cxo0bceHCBRQWFkIgECAmJgapqanQ09ND//79K9ACksrTJvKIiIhATk4OXFxcZM782KVLF2zatAlRUVH8F19Re3wcLIn4+/tXKjj08PCQmt6kSRPEx8eLrdta0XMoSdr782Oy3nP+/v4ICQkRG2NX0Tq1bdsWd+/ehZ+fH+bMmYP27duXOkHKiBEjsGTJEvz9999Yu3YtVFVV+bzt27cDAEaOHFnmuX1MnvYoD9GPaytWrICuri7c3d1Rt27dKj1GSaXdPydOnCjXur8VvZYnTpwAUPzZ8HFgWNVE917Pnj1Rr149ifzWrVvDzs4ON2/exLlz5yTet2ZmZrCzs5PYTvSjWlntNXv2bEybNo3/OzMzE6ampnB1dYWmpmZ5T0du79/FI+f99TLLcZwOuncfAI6jr5ak6mRmyh7rSqoHvYPlFBAQAF9fX0yaNAlz585FYWEh5s+fL7P8lStX4Ovry8/OJo2sG15bWxva2tpS80RfxJ88+d/6QqL/UGR9Sec4DpaWlkhPTxf7z2fnzp3w8fHB6tWrsXr1atStWxft2rVDjx49MGzYMOjp6cmsu7zKe4zKtJuBgYHUX09fv36N7OxsAJD6BFOastpUW1sbdevWxZs3b/DkyROJ4PDjwE5EFBjJyq9Tpw4AIDc3Vyz9yJEjCAgIEJtU5WMl2yUtLU3qE+7GjRtj1qxZ/N+LFi3C0qVLS52kouR+69Spg+3btyMgIADz5s3DvHnzUL9+fbRv3x49e/bEkCFDxIK/YcOG4dSpU9i9eze8vb0hEAjQtGlTODk5wcfHB926dRM7VlntLpo9MTc3F69fv4aBgQEePXoEoPjaVsWi1eVtE3k8fPgQQPHSAGXVMTU1lf+36H0uqz1KC8zlIes+FH3RLHkfVvQcRGS9Pz9W1rmW/OyraJ2WLVuGW7duISwsDGFhYfxEPF26dIGfn5/EE3ArKys4OzsjMjISoaGh/A9zsbGxuHnzJoyMjODq6lrmuZUkb3uUR5cuXTBz5kysXLkS/v7+4DgONjY2cHR0RN++feHh4QEFhaqbh648909ZKnotRe//TzG7aFmfT0DxZ9TNmzelBnpltVdeXl6pxxcKhVJ/AFZSUpJ4UlyVNOoMRc77jQCkT2wnoqruC2Vl1VLLEFJe1XlvE+koOCyHiRMnQiAQYMKECViwYAGKiooQGBgoUe79+/fo168fXr58iYCAAEyYMAENGjSApqYmBAIBHjx4gEaNGonN5lZeldlWpFOnTkhOTsaxY8dw7tw5REVF4eTJkwgLC0NgYCBCQ0Mluv1V5zEq224lf82vaWV9ASvPF7SnT5/C19cXOTk5+OGHH+Dn5wcLCwtoaGhAQUEB4eHhcHNzE2uXd+/eYceOHRL7cnZ25oPDf/75BwsXLoSGhgY2btyIbt268TOrchyHOXPmYNmyZRLt7e3tje7du+Pw4cO4cOECLl26hNDQUISGhmLBggU4deoUbG1t+fPctWsX5syZg2PHjuHSpUu4dOkSfvvtN/z222/w8PBAaGhotf/iL6+KtklZRLPsNmjQAI6OjqWW/ZRT6JfnPqzsOVTV+7Nk21e0ToaGhrh+/TrOnTuH06dP49KlS4iOjsalS5fw008/YdmyZZg5c6bY9iNHjkRkZCSCg4P54FD01HD48OHlvocr2x7SZm4GgJ9//hnjx4/HkSNHcPHiRVy6dAnbt2/H9u3b0aZNG0RERIh1h6yMqgw0P9f3SFWqyvb6lASKxlDTGI33736XWUZBoT7UNcbJzCeE1B4UHJbTuHHjIBAIMHbsWCxcuBBFRUUSYwDOnz+Ply9folWrVlKnm09ISCj1GG/fvsXbt2+lPj0UTfldciyDqAuO6JdXaZKSksTKiqiqqsLHxwc+Pj4Ain+RnTdvHoKCgjBy5Ej+V9nKkPcYlW03WXR1daGmpob379/j/v37aN68eZnbGBsbIz4+XmabZmRk4M2bN3zZ6nTkyBHk5OSgf//+WL5cch0pae1iYWFRZgAjWgJj6dKlUrvbltbeWlpaGDZsGD+eKCUlBZMnT8ahQ4cwadIkfqp4kaZNm6Jp06b4/vvvwRjD2bNnMWTIEBw5cgQ7d+7kl4IwNjZGYmIiHj58KPU6ia6HiooK311O9Gv8gwcPwBir1NPDyrRJaUxNTQEUP90sz1Iwovvw46n+RWSlV4eKnkN5JSUlSe16J+2zrzJ1Ei0tIFpqIjc3F8HBwfjmm28wZ84c+Pj4iK3z5+3tjUmTJuHMmTNISUlBvXr1sGfPHgDg79+qpKSkhPz8fGRlZfE9Ckoq7bPZwsJCbHz1tWvXMHToUFy7dg0rVqyQOm6tplX0WpqZmeHevXuIj4+vsrGFssjzf60or7r/X/jU6mjOBwcBst9tASDeq0JRsSm0dYMgEEh2tSWE1D6182esGjZ69Ghs27YNCgoK+PHHHzFv3jyxfFHQIKsLya5du8o8xp9//imR9uHDB34dvJJrZ4n+/ffff0vtxhMaGor09HR+LabS6OvrY8WKFQCKFyxOT08vs67lJesYVdFu0ggEAn7yki1btsi1jahNpT19A8AHrzY2NtX+JUDULtIm8GGM8V9Qq3K/r169KnNNwZJMTU35L5xxcXGlluU4Di4uLvzTl5LlRe0u68uhqN07derEjxFzcHCAnp4eUlNTcfDgQbnrLE1F20S01qlobOLHXFxcoKysjMjISLx69Uru+ogmENm9e7fU/LLWI6xKFT2H8pL22Qf871xLfvZVZZ1UVFQwfvx4tGjRAkVFRRJrsKqpqcHX1xdFRUXYuXMnjhw5gtevX8PR0bFKJ5UREX2uSFv/7tatW0hJSZF7X23atMHEiRMBlP3+rCkVvZY9e/YEUPzZIGs934+V9X6VRXTvnThxgp/8p6TY2FjExcVBQUEBnTt3Lte+P3ccp4A6WvOgb3gdGppzoao2FGrqY6CjdwB69U5DUdGqpqtICKkiFBxWUEBAAP744w8oKChg6dKlmD17Np8nGq9y5swZiUV7g4KCZC50XtLixYvFFmUvKirCzJkz8eTJE5iamopNZDBgwACYmZnh2bNnmDZtmth/eElJSZg+fTqA4pkJRZOkPHr0CFu3bpU6durIkSMAAB0dnUoNci/vMaqi3WSZO3cuFBUVsXHjRmzatEniqdqjR48QExPD/z1mzBhoamrixo0b+Omnn8TKx8bGYsmSJQCA77//vsJ1kpeoXQ4cOMBPPgMUT7SzYMECREVFVWq/QUFB/OQ2QPFTUX9/f2RkZEhsExsbi7///lvqQs+ia1oysNq5c6dYu4pkZWXxkzuULD9lyhQoKiri4MGDEj8GhIeH4/ffi7s1lRxPqaioyM8oO3bsWJw/f17ieNeuXRMbqyZLRdoE+N/TLFmLdNerVw+TJ09GdnY2PDw88O+//0qUycvLw+HDhxEfH8+njRo1ChoaGrh8+TLWr18vVj4yMhKbN28u85yqSkXPobxCQ0Oxd+9esbQDBw4gJCQEioqKYrMNV7ROq1atkjquOT4+nn86LO0HAtGkM8HBwfwPFdXx1BAA/xRs0aJFYmPRkpOT4e/vL7VnQGhoKM6fPy/R5TQ/P5+fuKUqZqKuDhW9lqNHj4aJiQliY2MxZswYfny5SGZmpsQsoKL3q2iCKXk5OTmhXbt2yMnJwbhx48RmUUxLS+Nnbh00aBD/JPRLIxDoQ6PON9DSWQFN7UUQCjvWdJUIIVXtky+eUcuI1nmStbbfn3/+yS/6+/333/Ppffv2ZQCYsrIyc3V1ZYMGDWKNGzdmHMexuXPn8usVllRyceT+/fszJSUl1qNHDzZo0CBmbW3NADB1dXWxh6VrJAAAGahJREFUhXpFrl69yurWrcvv19fXl/Xu3ZtfB83NzU1sfavY2Fh+nbM2bdqwgQMHsoEDBzJ7e3t+rbGtW7eKHaO86xxW5BiVabeP0z+2Y8cOfuFrc3Nz5uPjw7y8vFjLli0Zx3EsMDBQrPyRI0f49mvcuDEbPHgwc3Fx4de7DAgIkDiGaJ3Dj/clUlYbSlt/Kz8/n7Vu3ZoBYBoaGqxPnz5s4MCBzNzcnCkpKbGZM2eWunaYLA8fPmTa2toMADM2NuYXc9bS0mL169dnI0eOlDiX0NBQhv9fjNrR0ZENGjSI+fj4sEaNGvHXreQi1aLraWRkxHr37s38/PxY7969+TUkmzdvzjIzM8Xq9fvvvzMFBQWG/19QesiQIczR0ZFxHMcAsIULF0qcS1FRERs/frzYWmKDBg1ivXv3ZlZWVhJtKmu9tYq0CWOM5eXlMSMjI/7Yw4cPZ6NGjWIrVqwQu45DhgxhAJiCggKzt7dn3t7ezNfXlzk6OjJ1dXUGQGKR77/++ov/jLG1tWWDBw9mnTt3ZhzH8QvGl/ejXNb6dSKy7tOKnIO8709Rnb777jsGgLVp04YNGTKEX1cOUtZ6rGidRPdf48aNWf/+/dmQIUNYly5d+Pf28OHDZdazSZMmfH3U1dUl1tUTKWudw7Lao+S9aGZmxry9vVnnzp2Zqqoq6969O+vYsaPEfT1lyhSG/18nt0ePHszPz495enoyAwMD/p7+eO3B0pS1zqGsdQJlfQ6Wtc5hRd8jN27cYIaGhgwoXky+T58+zNfXl3Xs2JGpqqpKHO/o0aP855W7uzsbOXIkGzVqFLt06RJfRtb7KjExkW8XAwMD5uPjw/r27cs0NTX5z6yP10kt67xLO15paHFw8jWg+/zTo+CwDGUFh4wxtmfPHv7L27Rp0xhjxQt8r1y5ktna2jI1NTVWt25d5urqysLDw2V+OSiZnp+fz5YuXcoaN27MhEIhq1u3LvP29mZ37tyRWY/Hjx+zb775hllZWTFlZWVWp04d1qFDB/bbb7+JLcbOGGOZmZls7dq1rH///szGxoZpaGgwdXV11rBhQzZ8+HCxBeFFyhscVuQYlW23sty5c4eNGjWKWVpaMqFQyLS0tFjTpk3ZpEmTpLbt3bt3mb+/PzMxMWFKSkpMW1ubde3ale3du1fq/qsjOGSMsaysLDZnzhzWqFEjpqKiwgwMDFi/fv3Y9evX5friIUtSUhLz8/NjZmZmTCgUMnNzczZ+/Hj24sULqefy/Plz9vPPP7PevXszS0tLpqamxjQ1NVnTpk3ZN998w+Lj48X2f/78efbdd9+xtm3bMkNDQ6asrMwMDQ1Zhw4d2IYNG8QWkS7pypUrzMfHhxkaGvILz/fp04eFh4eXej5hYWGsb9++rF69ekxJSYnp6+uztm3bskWLFrHXr1/z5Uprs/K2ici///7LPD09mb6+Ph/cStv/8ePHmZeXFzM2NubvqSZNmrBBgwaxPXv2sOzsbIltLly4wNzc3JimpiZTU1Nj9vb27Pfff2eMVexLZUWDw4qcQ3mDw6SkJLZv3z7WoUMH/jOjU6dO7MiRI6VuX5467dq1iwUEBLDmzZuzunXr8te5V69eLDQ0lBUVFck8zooVK/g29/f3l1mussEhY8WfP15eXkxHR4cJhULWqFEjtmTJEvbhwwepnxWxsbFs1qxZzMnJiRkbGzNlZWWmr6/PWrduzX766SeWlpZW5jFL+tTBoUhF3iOpqals3rx5zNbWlqmrqzNVVVVmZWXFfH192YkTJyTKb9myhbVq1Yqpqanx17Pk/V7a++r169ds9uzZrEmTJkxFRYV/T/7888/s/fv3EuUpOCSk4ug+//Q4xqpg2ktSJZKTk2FpaQlzc/NPOtEEIYTUNAsLCzx69AhJSUmwsLCo6eoQ8tnLzMyElpYWMjIyqnWdQ0JqEt3nnx6NOSSEEEIIIYQQQsEhIYQQQgghhBAKDgkhhBBCCCGEAFCs6QqQ/5Fn4XJCCPkS0ThrQgghpObRk0NCCCGEEEIIIRQcEkIIIYQQQgih4JAQQgghhBBCCGjMISGEEEJIrSOaoyAzM7OGa0JI9RHd3zQnx6dDwSEhhBBCSC2TlZUFADA1Na3hmhBS/bKysqClpVXT1fgqcIxCcUIIIYSQWqWoqAjPnj1DnTp1wHFcTVenRmVmZsLU1BQpKSnQ1NSs6erUSp9rGzLGkJWVBSMjIygo0Gi4T4GeHBJCCCGE1DIKCgowMTGp6Wp8VjQ1NT+rwKY2+hzbkJ4YfloUghNCCCGEEEIIoeCQEEIIIYQQQggFh4QQQgghpBYTCoUIDAyEUCis6arUWtSGRIQmpCGEEEIIIYQQQk8OCSGEEEIIIYRQcEgIIYQQQgghBBQcEkIIIYQQQggBBYeEEEIIIYQQQkDBISGEEEIIqUG7du3CuHHj4ODgAKFQCI7jEBwcLLN8ZmYmpk2bBnNzcwiFQlhYWOD777/Hu3fvpJYvKirChg0bYGtrC1VVVejr62Pw4MF4+PBhNZ3Rp/f06VOsXbsWrq6uMDMzg7KyMgwNDeHt7Y3o6Gip21A7EmlotlJCCCGEEFJjLCws8OjRI+jp6UFdXR2PHj3C9u3bMWLECImy2dnZcHJyQlxcHFxdXWFvb4/Y2FiEh4ejTZs2OH/+PFRUVMS2GTNmDLZu3YpmzZqhT58+ePbsGfbt2wcNDQ1cuXIFNjY2n+hMq8+sWbOwfPlyWFtbo0uXLtDX10dCQgIOHjwIxhj27NkDX19fvjy1I5GJEUIIIYQQUkNOnTrFkpOTGWOMLVu2jAFg27dvl1p2wYIFDACbOXOmWPrMmTMZAPbTTz+JpZ89e5YBYJ07d2Z5eXl8+vHjxxkA5urqWrUnU0NCQkJYZGSkRPr58+eZkpIS09HRYbm5uXw6tSORhZ4cEkIIIYSQz8LPP/+M2bNnS31yyBiDiYkJMjMz8eLFC6irq/N52dnZMDQ0hIGBARITE/n0IUOG4K+//sK5c+fQuXNnsf117doVkZGRePToEczMzKr1vGqSm5sbwsPDce3aNTg4OFA7klLRmENCCCGEEPLZS0hIwLNnz+Do6CgW0ACAuro6HB0d8fDhQ6SkpPDpkZGRfN7H3NzcAADnzp2r3orXMCUlJQCAoqIiAGpHUjoKDgkhhBBCyGcvISEBAGSObROli8plZ2fj+fPnsLS0hEAgKLP8l+jx48c4ffo06tevD1tbWwDUjqR0FBwSQgghhJDPXkZGBgBAS0tLar6mpqZYufKW/9Lk5+dj2LBhyMvLw/Lly/nAjtqRlIaCQ0IIIYQQQr4gRUVFGDFiBM6fP48xY8Zg2LBhNV0lUktQcEgIIYQQQj57oidXsp5QZWZmipUrb/kvRVFREUaOHIk9e/Zg6NCh2Lx5s1g+tSMpDQWHhBBCCCHks1fW2LaPx9Kpq6ujfv36SEpKQmFhYZnlvwRFRUUICAjAjh07MHjwYAQHB0NBQfzrPrUjKQ0Fh4QQQggh5LNnY2MDIyMjXLp0CdnZ2WJ52dnZuHTpEiwtLWFqasqnOzs783kfO3nyJABILM1QW4kCw507d8LX1xd//vmnzAlkqB2JLBQcEkIIIYSQzx7HcRg9ejTevXuHxYsXi+UtXrwY7969w5gxY8TSx44dCwCYP38+Pnz4wKeHhYUhMjISrq6uMDc3r/7KVzNRV9KdO3diwIAB2LVrl9TAEKB2JKXjGGOspitBCCGEEEK+Tlu3bsXFixcBAP/++y9u3LgBR0dHNGjQAADg5OSE0aNHAyh+suXo6IibN2/C1dUVrVq1wo0bNxAeHo42bdrg3LlzUFVVFdv/mDFjsHXrVjRr1gx9+vTB8+fP8ffff0NDQwOXL19Gw4YNP+0JV4OFCxdi0aJF0NDQwJQpU/g1DUvq168fWrZsCYDakchGwSEhhBBCCKkxI0aMwI4dO2Tm+/v7Izg4mP87IyMDCxcuREhICF68eIH69etjwIABCAwMRJ06dSS2LyoqwsaNGxEUFIT//vsPGhoa6N69O5YuXQpra+vqOKVPrqw2BIDt27djxIgR/N/UjkQaCg4JIYQQQgghhNCYQ0IIIYQQQgghFBwSQgghhBBCCAEFh4QQQgghhBBCQMEhIYQQQgghhBBQcEgIIYQQQgghBBQcEkIIIYQQQggBBYeEEEIIIYQQQkDBISGEEEIIIYQQUHBICCGEEEIIIQQUHBJCCCGEkM9AZGQkOI7jX8nJyXJtFxwcLLbd56ii50bIp0bBISGEEELIF+bly5dYvHgxnJ2dUa9ePSgrK0NdXR3NmjXDqFGjEBYWBsZYTVeTyOHJkyf47rvv0KxZM6irq0MoFMLQ0BC2trbw9fXFsmXLkJ6eXtPVJF8IxZquACGEEEIIqTqbNm3C9OnTkZubK5aen5+Pu3fv4u7du/jjjz+QlJQECwuLmqlkFWrTpg1WrlxZ09WoFjdu3EC3bt2QkZEhlv7y5Uu8fPkSt2/fxr59+9CrVy/o6OjUUC3Jl4SCQ0IIIYSQL8SKFSswc+ZM/m+BQIA+ffqgdevW4DgO//33H06ePImXL1/WYC2rVrNmzdCsWbOarka1mDhxIh8Yqqurw9fXF1ZWVsjPz0dCQgIuXLiAlJSUGq6lpA8fPoAxBqFQWNNVIeVE3UoJIYQQQr4Ad+/exZw5c/i/DQwMcO3aNRw6dAgLFizA/PnzsWPHDqSkpCAoKAhqampi2z99+hTff/89bG1toaGhARUVFVhYWGDo0KG4evWqxPEWLlzIj6GzsLDA8+fP4e/vDz09PWhqasLDwwMPHjwAUPwErGfPnqhTpw50dHQwYMCAMoMaxhh+/fVXNG/eHCoqKjA2Nsa0adOQlZUlVq60MYddunTh00eMGIGEhAQMHjwYenp6UFFRQatWrXDo0CGpx8/MzMSyZcvQrl07aGlpQVlZGWZmZhgxYgTu3LkjdZvXr19j/PjxqFevHlRVVeHg4IC///671POUJTMzE9HR0fzfv/76K7Zt24a5c+di4cKF2L17Nx4/foyrV6/CxMREYvvs7GysXbsWzs7O0NXVhbKyMgwNDeHs7Ixff/1VonxMTAyGDx8OS0tLqKioQENDA82bN8f06dPx5MkTifIft+3t27fRr18/6OrqQigU4t69e3zZhw8f4ttvv0WTJk2grq4OVVVVNG3aFLNmzUJaWlqF2odUE0YIIYQQQmq98ePHMwD8KyQkRO5tz507x3R0dMS2L/lSUFBgv/zyi9g2gYGBfH7dunWZhYWFxHb6+vosNDSUCYVCiTwbGxuWk5PD7y8iIkIsv0+fPlLr0qZNG7Httm/fLpZfkrOzM5/eokULVqdOHYn9cRzHTp8+LbbdgwcPpJ6P6CUUCtm+ffvEtklPT2eNGzeWWv7jc0lKSirzmrx+/VpsmxkzZrCCggK5rmdiYiKzsbGRWX87Ozux8mvWrGEKCgoyy2tpabGIiAiZbWtvb8/U1dXFtomNjWWMMXbw4EGmpqYmc9/Gxsbs7t27cp0XqX4cYzQamRBCCCGktmvYsCESEhIAADo6OkhLS4OCQtmdxN6+fYsGDRrg9evXAABVVVUEBARAU1MTf/31Fx49egQA4DgOERERcHZ2BlD85HDRokX8flRVVTF27FhkZ2dj69atYsfQ0NDAuHHj8OjRIxw4cIBP/+uvvzBo0CAAxTN6du3aVWy7vn37ws7ODmFhYbh27RqfvmjRIixYsABA8ZPDgIAAPq/kV9suXbrg3Ln/a+/uQqL4+jiAf9ddNU3/vrVKWVla1rZqLSniS7polFagFhUqpZQGQi++VHeh4V2F0k0ISoJlQYFmF75cKBZpeJFWZpgkEkS1K5iVqGS781z4eP4zupvakwU+3w8Ic+Z3zsyZs94cfjPnPBJlLy8vZGdnY2JiApWVlbBYLACAvXv3orm5GQBgsViwfft2kR3UarXIyMiAt7c3Wlpa0NnZCQBYsWIF+vr6EBgYCAA4ffq0IiMXHx+P+Ph4dHR0oLW1VfFcC/3ec8OGDWL8AcDHxwcxMTEwGAyIioqC0Wic8+qmxWKBwWBAb2+vOBcREYHExERYLBZ0dXXh69ev6OnpAQA8fvwYRqNRjNv69euRnp6OsbExVFdXY3x8HADg7e2Nt2/fim8bZ4+tRqNBeno6Nm/ejP7+fly6dAnOzs7Q6/WYmJgAMP0KcFpaGqxWK2pra8Wz6XQ69Pb2Qq1WzzsmtMT+7tyUiIiIiH4HeXYmMjJywe3Ky8sVmZzGxkYRM5lMkpubm4ilpKSImDxzCEC6ffu2iEVFRSli9+/flyRJkqxWq7RmzRpxvrCwULSZnTnMzc0Vse/fv0t6vV7E1q5dK2ILzRyqVCqpu7tbxPLz8xWZzxkNDQ3ivFqtlgYGBkTsx48fUmhoqIgXFBRIkiRJU1NTinGKi4uTLBaLeOY9e/YsOnMoSZJUV1cnqVSqn2b0Ll++rMgoPnz4UFHn1KlTktVqVVx3cHBQHKekpIi67u7ukslkErHGxkbFtcrLy22OLQDpwYMHc/pfUFAg4sHBwYqM74cPHyS1Wi3iDQ0NCxoTWlr85pCIiIjo/9jTp0/FsVarRXJysij7+voqyvK6chqNBkePHhVleVbM0dERaWlpAKazjxs3bhSxn23BcOzYMcU1jhw5Isrv379f9KI6UVFRMBgMorxlyxab/ejo6BDHFosFwcHB4ts6jUajyMjNZBH7+/sxNjYmzqenp4usrUqlQmZm5qL6OiMtLQ1tbW1ISEiwmQX+8uULiouLUVpaKs49efJEUae0tHTOt5gz2U5A+ZsmJSXB19dXlJOTk6HVam3WlQsJCUFKSsqc8/KxHBgYgIuLixjLNWvWiMwt8O9Y0t/FySERERHRMuDv7y+OBwYGFryP4cjIiDj28/ObE5efszeZ8/X1hUbz7yL4Tk5Oipj8dUF5PavVardf8kmKrb6Njo7abWvL7Nc45a9jysdKPh7zGR4ettmX+fq+GEajEa2trRgZGUFTUxNKSkoQHh6uqFNeXi6O5f13dXWd05fZfsfvv3Xr1nmvPZ+ZsaS/i1tZEBERES0DiYmJ4pvDz58/o6GhAampqfO28/b2Fse2snHyc/b20nN0dLR7fflkcDHMZrMiuze7b56enou63uw+zs6mzZCPx4oVKxRZudk8PDxs9sVsNivKv2PrEA8PDyQlJSEpKQnFxcU4efIkbt68CWB6ZVOTyQQ/Pz9F/8fHx2E2m386QfT29hb9/dXff+XKlXavPUOv1yM7O9tuP0JCQuzG6M9h5pCIiIhoGTh9+rQiQ5eXl4cXL17MqTc1NYWqqioxIYiOjhax4eFhNDU1ibLZbFaU5XWX2q1bt8Tx1NQU7t27J8r+/v7/UzbuZ+TPODk5Cb1ej/Pnz8/527VrFyIiIgBMZ87c3NxEu7t374qsqCRJqK2t/aW+ZGVl4dmzZzZj8vs5ODjA3d0dABAbG6uoV1xcPCeLLF/kRv68zc3NioltU1OTIqO32N9fXv/jx49IT0+fM475+fkICgpCZGTkoq5NS4OZQyIiIqJlQK/Xo7S0VOx1+OnTJ4SHh+PAgQMwGAxQqVR4+/YtWlpaYDKZsHv3bgDTE5DS0lKxWumhQ4dw4sQJ/PPPP7hz5474lk6lUiE/P/+PPU9lZSWGh4cRFhaGpqYmxd6Cubm5S3bf/fv3Q6fTiX36UlNTcfDgQWzbtg1WqxWDg4N4/Pgx3r17h+rqauzYsQMajQbHjx/HjRs3AEyvAJqQkGB3tdKFqqmpQU1NDYKCghAbG4vAwECoVCq8ePECdXV1ol5cXJzYt3Lfvn0IDQ0V30ZWVFSgp6cHCQkJkCQJ3d3dMJvNYrXSgoICNDQ0QJIkfPv2DREREcjIyMDY2JjITALTWcCsrKxF9f/MmTOoqKjA5OQkRkZGsGPHDhw+fBjr1q3D2NgYXr9+jfb2doyOjmJoaMhuZpL+oL+5Gg4RERER/V7Xr1+3ua/g7D/5ipmPHj2SPD097dZ1cHCQrl27priPfLXSgIAARSwrK8tuTL7KZVZWljg/e7VSo9Fosy87d+6UxsfHRbuFrlYqv9d87d68efPTfQ5n/qqrq0WbkZERKTg42Ga92c+y0NVK57s//rvSam9vr6Ld4OCgtGnTJrttfvc+h7PHVq6+vn7OHojz/T/S38PXSomIiIiWkbNnz2JoaAglJSWIjY2FVquFRqOBq6srdDod8vLy0N7ejoCAANEmLi4Or169QlFREfR6PVxdXeHk5IT169cjMzMTnZ2dKCoq+qPPUVVVhbKyMuh0Ojg7O2P16tU4d+4c2tra4OLisqT3Dg4OxsuXL3HlyhVER0fDy8sLarUa7u7uCAsLQ05ODurr65GRkSHaeHl54cmTJ8jNzYVWq4WzszO2b9+O6upqFBcX/1I/uru7cfXqVZHN9PHxEf0wGAy4ePEi+vr65nyvFxgYiOfPn6OsrAyxsbHw8vKCRqPBqlWrEBMTg5ycHEX9/Px8dHV14dixYwgICICTkxNcXFyg0+lQUFCA3t5eGI3GX3qG1NRUvHr1CoWFhQgNDYWbmxvUajV8fHwQFRWFCxcuoKOjY0H7PtLSU0nSApeyIiIiIiIiomWLmUMiIiIiIiLi5JCIiIiIiIg4OSQiIiIiIiJwckhERERERETg5JCIiIiIiIjAySERERERERGBk0MiIiIiIiICJ4dEREREREQETg6JiIiIiIgInBwSERERERERODkkIiIiIiIicHJIREREREREAP4DVpwHC4uatNoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 300x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to save your figure, make sure that ``ofname`` is not None\n",
    "ax = dotplot(enr.res2d, title='KEGG_2021_Human',cmap='viridis_r', size=10, figsize=(3,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to save your figure, make sure that ``ofname`` is not None\n",
    "ax = barplot(enr.res2d,title='KEGG_2021_Human', figsize=(4, 5), color='darkred')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4cec30f1-df1f-4a67-a3f1-a37e207efbd3"
    }
   },
   "source": [
    "### Command line usage "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3bf3a986-f05a-4852-a7a2-e63eb12c9236"
    }
   },
   "source": [
    "the option **-v** will print out the progress of your job"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !gseapy enrichr -i ./data/gene_list.txt \\\n",
    "#                 -g GO_Biological_Process_2017 \\\n",
    "#                 -v -o test/enrichr_BP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "09b58c6b-f78a-45b0-834a-f92e3b8d1f62"
    }
   },
   "source": [
    "## Prerank example\n",
    "\n",
    "### Assign prerank() with \n",
    "\n",
    "- pd.DataFrame: Only contains two columns, or one cloumn with gene_name indexed \n",
    "- pd.Series \n",
    "- a txt file: \n",
    "  - **GSEApy will skip any data after \"#\".** \n",
    "  - Do not include header in your gene list !  \n",
    "\n",
    "\n",
    "#### NOTE: UPCASES for gene symbols by Default\n",
    "\n",
    "1. Gene symbols are all \"UPCASES\" in the Enrichr Libaries. You should convert your input gene identifier to \"UPCASES\" first.\n",
    "2. If input `gmt`, `dict` object, please refer to `1.2 Mouse gene symbols maps to Human, or Vice Versa` (in this page) to convert gene identifier\n",
    "\n",
    "\n",
    "\n",
    "#### Supported gene_sets input\n",
    "For example:\n",
    "```python\n",
    "    gene_sets=\"KEGG_2016\",\n",
    "    gene_sets=\"KEGG_2016,KEGG2013\",\n",
    "    gene_sets=\"./data/genes.gmt\",\n",
    "    gene_sets=[\"KEGG_2016\",\"./data/genes.gmt\"],\n",
    "    gene_sets={'A':['gene1', 'gene2',...],\n",
    "               'B':['gene2', 'gene4',...],\n",
    "               ...}\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ATXN1</th>\n",
       "      <td>16.456753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UBQLN4</th>\n",
       "      <td>13.989493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CALM1</th>\n",
       "      <td>13.745533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DLG4</th>\n",
       "      <td>12.796588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MRE11A</th>\n",
       "      <td>12.787631</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                1\n",
       "0                \n",
       "ATXN1   16.456753\n",
       "UBQLN4  13.989493\n",
       "CALM1   13.745533\n",
       "DLG4    12.796588\n",
       "MRE11A  12.787631"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rnk = pd.read_csv(\"./tests/data/temp.rnk\", header=None, index_col=0, sep=\"\\t\")\n",
    "rnk.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22922, 1)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rnk.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-02-04 15:48:07,542 [WARNING] Duplicated values found in preranked stats: 4.97% of genes\n",
      "The order of those genes will be arbitrary, which may produce unexpected results.\n",
      "2025-02-04 15:48:07,542 [INFO] Parsing data files for GSEA.............................\n",
      "2025-02-04 15:48:07,543 [INFO] Enrichr library gene sets already downloaded in: /Users/fangzq/.cache/gseapy, use local file\n",
      "2025-02-04 15:48:07,550 [INFO] 0001 gene_sets have been filtered out when max_size=1000 and min_size=5\n",
      "2025-02-04 15:48:07,552 [INFO] 0292 gene_sets used for further statistical testing.....\n",
      "2025-02-04 15:48:07,554 [INFO] Start to run GSEA...Might take a while..................\n",
      "2025-02-04 15:48:12,846 [INFO] Congratulations. GSEApy runs successfully................\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# # run prerank\n",
    "# # enrichr libraries are supported by prerank module. Just provide the name\n",
    "# # use 4 process to acceralate the permutation speed\n",
    "pre_res = gp.prerank(rnk=\"./tests/data/temp.rnk\", # or rnk = rnk,\n",
    "                     gene_sets='KEGG_2016', \n",
    "                     threads=4,\n",
    "                     min_size=5,\n",
    "                     max_size=1000,\n",
    "                     permutation_num=1000, # reduce number to speed up testing\n",
    "                     outdir=None, # don't write to disk \n",
    "                     seed=6, \n",
    "                     verbose=True, # see what's going on behind the scenes\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to generate your GSEA plot inside python console  \n",
    "Visualize it using ``gseaplot``  \n",
    "\n",
    "Make sure that ``ofname`` is not None, if you want to save your figure to the disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Term</th>\n",
       "      <th>ES</th>\n",
       "      <th>NES</th>\n",
       "      <th>NOM p-val</th>\n",
       "      <th>FDR q-val</th>\n",
       "      <th>FWER p-val</th>\n",
       "      <th>Tag %</th>\n",
       "      <th>Gene %</th>\n",
       "      <th>Lead_genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>prerank</td>\n",
       "      <td>Adherens junction Homo sapiens hsa04520</td>\n",
       "      <td>0.784625</td>\n",
       "      <td>1.912548</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47/74</td>\n",
       "      <td>10.37%</td>\n",
       "      <td>CTNNB1;EGFR;RAC1;TGFBR1;SMAD4;MET;EP300;CDC42;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>prerank</td>\n",
       "      <td>Glioma Homo sapiens hsa05214</td>\n",
       "      <td>0.784678</td>\n",
       "      <td>1.906706</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52/65</td>\n",
       "      <td>16.29%</td>\n",
       "      <td>CALM1;GRB2;EGFR;PRKCA;KRAS;HRAS;TP53;MAPK1;PRK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>prerank</td>\n",
       "      <td>Estrogen signaling pathway Homo sapiens hsa04915</td>\n",
       "      <td>0.766347</td>\n",
       "      <td>1.897957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74/99</td>\n",
       "      <td>16.57%</td>\n",
       "      <td>CALM1;PRKACA;GRB2;SP1;EGFR;KRAS;HRAS;HSP90AB1;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>prerank</td>\n",
       "      <td>Thyroid hormone signaling pathway Homo sapiens...</td>\n",
       "      <td>0.7577</td>\n",
       "      <td>1.891815</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84/118</td>\n",
       "      <td>16.29%</td>\n",
       "      <td>CTNNB1;PRKACA;PRKCA;KRAS;NOTCH1;EP300;CREBBP;H...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>prerank</td>\n",
       "      <td>Long-term potentiation Homo sapiens hsa04720</td>\n",
       "      <td>0.778249</td>\n",
       "      <td>1.888739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42/66</td>\n",
       "      <td>9.01%</td>\n",
       "      <td>CALM1;PRKACA;PRKCA;KRAS;EP300;CREBBP;HRAS;PRKA...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Name                                               Term        ES  \\\n",
       "0  prerank            Adherens junction Homo sapiens hsa04520  0.784625   \n",
       "1  prerank                       Glioma Homo sapiens hsa05214  0.784678   \n",
       "2  prerank   Estrogen signaling pathway Homo sapiens hsa04915  0.766347   \n",
       "3  prerank  Thyroid hormone signaling pathway Homo sapiens...    0.7577   \n",
       "4  prerank       Long-term potentiation Homo sapiens hsa04720  0.778249   \n",
       "\n",
       "        NES NOM p-val FDR q-val FWER p-val   Tag %  Gene %  \\\n",
       "0  1.912548       0.0       0.0        0.0   47/74  10.37%   \n",
       "1  1.906706       0.0       0.0        0.0   52/65  16.29%   \n",
       "2  1.897957       0.0       0.0        0.0   74/99  16.57%   \n",
       "3  1.891815       0.0       0.0        0.0  84/118  16.29%   \n",
       "4  1.888739       0.0       0.0        0.0   42/66   9.01%   \n",
       "\n",
       "                                          Lead_genes  \n",
       "0  CTNNB1;EGFR;RAC1;TGFBR1;SMAD4;MET;EP300;CDC42;...  \n",
       "1  CALM1;GRB2;EGFR;PRKCA;KRAS;HRAS;TP53;MAPK1;PRK...  \n",
       "2  CALM1;PRKACA;GRB2;SP1;EGFR;KRAS;HRAS;HSP90AB1;...  \n",
       "3  CTNNB1;PRKACA;PRKCA;KRAS;NOTCH1;EP300;CREBBP;H...  \n",
       "4  CALM1;PRKACA;PRKCA;KRAS;EP300;CREBBP;HRAS;PRKA...  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre_res.res2d.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## easy way\n",
    "terms = pre_res.res2d.Term\n",
    "axs = pre_res.plot(terms=terms[1]) # v1.0.5\n",
    "# to make more control on the plot, use\n",
    "# from gseapy import gseaplot\n",
    "# gseaplot(rank_metric=pre_res.ranking, term=terms[0], ofname='your.plot.pdf', **pre_res.results[terms[0]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "or multi pathway in one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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G+Vr8/PzQpEkTxMXFVfjjyBiGYb4U9ntbdqwGj2EYhmEY5gfDEjyGYRiGYZgfDOtkwTDfkcaNG4O1qmAYhmE+h9XgMQzDMAzD/GBYgscwDMMwDPODYQkewzAMwzDMD4YleAzDMAzDMD8YluAxDMMwDMP8YFiCxzAfNG7cGKNHj/7q++3bty/vMWMVFUd5srCwgI+PT0WHwZTCp9djRRAIBDh06FCFxsAw3zuW4P0k+vbtC4FAkO/VsmXLYm3/M/xg//vvv8V+ZNvPEEdxbN269bt9okZRsf/MCcaKFSuwdevWig7ji/Pz80OtWrWgrKyMKlWqFHnMCxcuhEAgyPcfrxcvXqBjx47Q09ODuro6unXrhrdv3/LWmTdvHurXrw+JRFLk9fbpqyyPAmQYgCV4P5WWLVsiMjKS9/r777/LrXyZTAa5XF5u5X1t2trakEqlFR3GNxMH83PS0ND4bpP24goJCUGbNm3QpEkT3Lt3D6NHj8aAAQPw33//5Vs3ICAA69evh6OjI29+SkoKWrRoAYFAgPPnz8Pf3x+ZmZnw8vLifQ9mZmaia9euGDJkSJEx+fr68r6bK7oWlfn+sQTvJ6KsrAxDQ0PeS0tLCwBARJg5cybMzMygrKwMY2NjjBw5EkDOLcNXr15hzJgx3P8ugY81IEeOHIG9vT2UlZURFhaGuLg49OnTB1paWpBIJGjVqhWePXvGi2Xjxo0wNTWFRCJBx44dsWzZsnw/KocPH0atWrWgoqICKysrzJo1C9nZ2dxygUCATZs2oWPHjpBIJLC2tv7sA+D/+usvWFtbQ0VFBQYGBujSpQu37NNbo5GRkWjTpg3EYjEsLS2xe/fufDWZn4tBJpOhf//+sLS0hFgshq2tLVasWFFkjJ/GYWFhgfnz5+O3336DVCqFmZkZNmzYwNvm6tWrqFGjBlRUVFCnTh0cOnQIAoEA9+7dK3Q/FhYWmDNnDn799VeoqqrCxMQEa9as4a2zbNkyODg4QFVVFaamphg6dCiSk5MB5NSA9OvXDwkJCdx1MXPmTG7b1NTUQmPu0qULhg8fzk2PHj0aAoEAT548AZDzo6iqqoqzZ88CAE6dOoUGDRpAU1MTOjo6aNu2LV68eMFt37RpU155APDu3TsoKSnh3LlzRZzt4nn48CGaNm0KsVgMHR0dDBo0iDsPwMfbmvPnz4eBgQE0NTUxe/ZsZGdnY8KECdDW1kalSpXg6+tbonI/FRcXh549e0JPTw9isRjW1ta8MidOnAgbGxtIJBJYWVnhjz/+QFZWFrd85syZqFGjBtavX899/rp164aEhIR8x5JLLpdjwYIF3DXs5OSEf/75h1vu5+cHgUCAc+fOoU6dOpBIJKhfvz6Cg4O5de7fv48mTZpAKpVCXV0dtWvXxq1bt4o85+/fvy/0c1XW87Bu3TpYWlpi6dKlsLOzw/Dhw9GlSxcsX76cF0NycjJ69uyJjRs3ct+Vufz9/REaGoqtW7fCwcEBDg4O2LZtG27duoXz589z682aNQtjxoyBg4NDkcerqanJ+25mz19lyoyYYktLS6PAwEBKS0ur6FBKzNvbm9q3b1/o8v3795O6ujqdOHGCXr16RTdu3KANGzYQEVFMTAxVqlSJZs+eTZGRkRQZGUlERL6+vqSoqEj169cnf39/evLkCaWkpFC7du3Izs6OLl26RPfu3SNPT0+qUqUKZWZmEhHRlStXSCgU0uLFiyk4OJjWrFlD2trapKGhwcVz6dIlUldXp61bt9KLFy/o9OnTZGFhQTNnzuTWAUCVKlWi3bt307Nnz2jkyJGkpqZGMTExBR5jQEAAiUQi2r17N4WGhtKdO3doxYoV3HJ3d3caNWoUN+3h4UE1atSg69ev0+3bt8nd3Z3EYjEtX7682DFkZmbS9OnTKSAggF6+fEk7d+4kiURCe/fuLfS9+TQOc3Nz0tbWpjVr1tCzZ89owYIFJBQK6cmTJ0RElJCQQNra2tSrVy96/PgxnThxgmxsbAgA3b17t9D33NzcnKRSKS1YsICCg4Np5cqVJBKJ6PTp09w6y5cvp/Pnz1NISAidO3eObG1taciQIURElJGRQT4+PqSurs5dF0lJScWKeeXKlVStWjVuPzVq1CBdXV1au3YtEeVcI4qKipSSkkJERP/88w8dOHCAnj17Rnfv3iUvLy9ycHAgmUxGRES7du0iLS0tSk9P58pctmwZWVhYkFwuL/D4fX19eddcXgDo4MGDRESUnJxMRkZG1KlTJ3r48CGdO3eOLC0tydvbm1vf29ubpFIpDRs2jJ48eUKbN28mAOTp6Unz5s2jp0+f0pw5c0hRUZHCw8OLXe6nhg0bRjVq1KCAgAAKCQmhM2fO0JEjR7jlc+bMIX9/fwoJCaEjR46QgYEB/fnnn9zyGTNmkKqqKjVt2pTu3r1LFy9epCpVqlCPHj14x5L3epw7dy5VrVqVTp06RS9evCBfX19SVlYmPz8/IiK6cOECAaC6deuSn58fPX78mBo2bEj169fnyqhWrRr16tWLgoKC6OnTp7Rv3z66d+9eocf5uc9VWc9Dw4YNeZ8xIqItW7aQuro6b16fPn1o9OjRRJT/c3nkyBESiUS8ay49PZ1EIhHNmDEj3zF97nozNjYmHR0dcnZ2ps2bNxd63f4svuff228FS/BK4Hu+4Ly9vUkkEpGqqirvNW/ePCIiWrp0KdnY2HBJ2KfMzc15iQ1RzhcWAN4X9dOnTwkA+fv7c/Pev39PYrGY9u3bR0RE3bt3pzZt2vDK6tmzJ+/Lr1mzZjR//nzeOjt27CAjIyNuGgBNmzaNm05OTiYAdPLkyQKP4cCBA6Surk6JiYkFLs/7BR4UFEQAKCAggFv+7NkzApAvwStJDEQ5P06dO3fmpouT4PXq1YublsvlpK+vzyVDa9euJR0dHd51uXHjxmIleC1btuTN6969O7Vq1arQbfbv3086OjrcdGE/Wp+L+cGDByQQCCg6OppiY2NJSUmJ5syZQ927dyeinKQib4LwqXfv3hEAevjwIRHlfDa1tLR4ibOjoyPvPwSfyr1+P/1MqKqq8hK8DRs2kJaWFiUnJ3PbHj9+nIRCIUVFRRFRzntobm7OJZxERLa2ttSwYUNuOjs7m1RVVenvv/8udrmf8vLyon79+hV6TJ9avHgx1a5dm5ueMWMGiUQiioiI4OadPHmShEIh9x+3vNdjeno6SSQSunr1Kq/c/v3706+//kpEHxO8s2fP8o4DAHdNSqVS2rp1a7Hj/tznqqznwdraOt/3S27MqampRET0999/U/Xq1blj+PRzGR0dTerq6jRq1ChKSUmh5ORkGj58OAGgQYMG5YuhqARv9uzZdOXKFbpz5w4tXLiQlJWVef/5/Bl9z7+33wr2LNrysN4dSI7+uvtU0wd+v1iiTZo0aYK1a9fy5mlrawMAunbtCh8fH1hZWaFly5Zo3bo1vLy8oKBQ9CWipKTEa5sSFBQEBQUF1K1bl5uno6MDW1tbBAUFAQCCg4PRsWNHXjkuLi44duwYN33//n34+/tj3rx53DyZTIb09HSkpqZCIpEAAG/fqqqqUFdXR3R0we9F8+bNYW5uzh1jy5YtuVtAnwoODoaCggJq1arFzatSpUq+2zTFiWHNmjXYsmULwsLCkJaWhszMTNSoUaPAGAuTdx8CgQCGhobcPoKDg+Ho6Mi7pePi4lKscl1dXfNN570FffbsWSxYsABPnjxBYmIisrOz870HpYm5evXq0NbWxsWLF6GkpISaNWuibdu23C3iixcvonHjxtz2z549w/Tp03Hjxg28f/+ea+MUFhaG6tWrQ0VFBb1798aWLVvQrVs33LlzB48ePfrsLXupVIo7d+7km29tbc39HRQUBCcnJ6iqqnLz3NzcIJfLERwcDAMDAwBAtWrVIBR+bPViYGCA6tWrc9MikQg6OjrcOShuuXkNGTIEnTt3xp07d9CiRQt06NAB9evX55bv3bsXK1euxIsXL5CcnIzs7Gyoq6vzyjAzM4OJiQk37erqyu3T0NCQt+7z58+RmpqK5s2b8+ZnZmaiZs2avHl5328jIyMAQHR0NMzMzDB27FgMGDAAO3bsgIeHB7p27YrKlSvnO77Cyvv0c1Ue56Eo4eHhGDVqFM6cOVPorVI9PT3s378fQ4YMwcqVKyEUCvHrr7+iVq1avOugOP744w/u75o1ayIlJQWLFy/mmskwTGmwNnjlITkaSHrzdV+lSChVVVVRpUoV3is3wTM1NUVwcDD++usviMViDB06FI0aNeK1WymIWCzm2uSVp+TkZMyaNQv37t3jXg8fPsSzZ894X7iKioq87QQCQaEdPXJ/zP/++28YGRlh+vTpcHJyQnx8fJliLSqGPXv2YPz48ejfvz9Onz6Ne/fuoV+/fsjMzCy3fXwpoaGhaNu2LRwdHXHgwAHcvn2bS8CKE39RMQsEAjRq1Ah+fn5cMufo6IiMjAw8evQIV69ehbu7O7etl5cXYmNjsXHjRty4cQM3btzIF8eAAQNw5swZREREwNfXF02bNoW5uXmRMQqFwnyfiSpVqhTvBBXjeMv7fWvVqhXXHvbNmzdo1qwZxo8fDwC4du0aevbsidatW+PYsWO4e/cupk6dWuJrLa/c9oDHjx/nfRYDAwN57fAA/vHnfifkHuvMmTPx+PFjtGnTBufPn4e9vT0OHjxY5L6LOndlPQ+Ghob5eru+ffsW6urqEIvFuH37NqKjo1GrVi0oKChAQUEBFy9exMqVK6GgoACZTAYAaNGiBV68eIHo6Gi8f/8eO3bswOvXr2FlZVW8E1yIunXrIiIiAhkZGWUqh/m5sRq88qCm/0PsUywWw8vLC15eXhg2bBiqVq2Khw8folatWlBSUuK+1IpiZ2eH7Oxs3Lhxg/sfdUxMDIKDg2Fvbw8AsLW1RUBAAG+7T6dr1aqF4ODgUv/YFkZBQQEeHh7w8PDAjBkzoKmpifPnz6NTp0689WxtbZGdnY27d++idu3aAHJqM+Li4kq0P39/f9SvXx9Dhw7l5uXtHFAebG1tsXPnTmRkZEBZWRlA/vNZmOvXr+ebtrOzAwDcvn0bcrkcS5cu5Wok9u3bx1u/uNdFQdzd3bFx40YoKytj3rx5EAqFaNSoERYvXoyMjAy4ubkB+Hj9bNy4EQ0bNgQAXLlyJV95Dg4OqFOnDjZu3Ijdu3dj9erVpYrrU3Z2dti6dStSUlK42jZ/f38IhULY2tp+9XL19PTg7e0Nb29vNGzYEBMmTMCSJUtw9epVmJubY+rUqdy6r169yrd9WFgY3rx5A2NjYwA573lh+8zbeSpvwl0aNjY2sLGxwZgxY/Drr7/C19c3X01+SZTlPLi6uuLEiRO8eWfOnOFqtJs1a4aHDx/ylvfr1w9Vq1bFxIkTIRKJeMt0dXUBAOfPn0d0dDTatWtX6uMCgHv37kFLS4v7PDNMabAErzyU8FZpRcnIyEBUVBRvnoKCAnR1dbF161bIZDLUrVsXEokEO3fuhFgs5mpALCwscOnSJfzyyy9QVlbmvtA+ZW1tjfbt22PgwIFYv349pFIpJk2aBBMTE7Rv3x4AMGLECDRq1AjLli2Dl5cXzp8/j5MnT/JqAqdPn462bdvCzMwMXbp0gVAoxP379/Ho0SPMnTu3VMd/7NgxvHz5Eo0aNYKWlhZOnDgBuVxe4A9b1apV4eHhgUGDBmHt2rVQVFTEuHHjSlxjaW1tje3bt+O///6DpaUlduzYgYCAAFhaWpbqGArSo0cPTJ06FYMGDcKkSZMQFhaGJUuWAMBnY/X398eiRYvQoUMHnDlzBvv378fx48cB5NySzsrKwqpVq+Dl5QV/f3+sW7eOt72FhQWSk5Nx7tw5ODk5QSKRfPbWba7GjRtjzJgxUFJSQoMGDbh548ePh7OzM5f0aGlpQUdHBxs2bICRkRHCwsIwadKkAsscMGAAhg8fDlVV1TIlD3n17NkTM2bMgLe3N2bOnIl3795hxIgR6N27d4G3Ub9kudOnT0ft2rVRrVo1ZGRk4NixY1xCbm1tjbCwMOzZswfOzs44fvx4gbVkKioq8Pb2xpIlS5CYmIiRI0eiW7du+W7PAjm13uPHj8eYMWMgl8vRoEEDJCQkwN/fH+rq6vD29v7scaalpWHChAno0qULLC0tERERgYCAAHTu3LmEZ6z8zsPgwYOxevVq/O9//8Nvv/2G8+fPY9++fdy1L5VKebfXgZw7IDo6Orz5vr6+sLOzg56eHq5du4ZRo0ZhzJgxvO+UsLAwxMbGIiwsDDKZjOvZXqVKFaipqeHo0aN4+/Yt6tWrBxUVFZw5cwbz58/naiQZptQquhHg9+R7bvTp7e1NAPK9bG1tiYjo4MGDVLduXVJXVydVVVWqV68er9H0tWvXyNHRkZSVlSn3sims0XBsbCz17t2bNDQ0SCwWk6enJz19+pS3zoYNG8jExITEYjF16NCB5s6dS4aGhrx1Tp06RfXr1yexWEzq6urk4uLC9ewl4vd0zKWhoUG+vr4FnoPLly+Tu7s7aWlpkVgsJkdHR16j/E8bUb9584ZatWpFysrKZG5uTrt37yZ9fX1at25dsWNIT0+nvn37koaGBmlqatKQIUNo0qRJ5OTkxK1fnE4Wn3ZwcXJy4vXU8/f3J0dHR1JSUqLatWvT7t27CQDXa7Ug5ubmNGvWLOratStJJBIyNDTM17B72bJlZGRkxL2P27dvJwAUFxfHrTN48GDS0dEhAFxMxYlZJpORlpYW1a1bl5t39+5dAkCTJk3ibXvmzBmys7MjZWVlcnR0JD8/vwLPfVJSEkkkEho6dGihx52ruL1oiXI6hTRp0oRUVFRIW1ubBg4cyPUYJiq4l/qn7yNR/vPyuXI/NWfOHLKzsyOxWEza2trUvn17evnyJbd8woQJpKOjQ2pqatS9e3davnw57xhnzJhBTk5O9Ndff5GxsTGpqKhQly5dKDY2ttBjkcvl5OPjQ7a2tqSoqEh6enrk6elJFy9eJKKPnSzyXhO572NISAhlZGTQL7/8QqampqSkpETGxsY0fPjwIr9HP/e5Kut5yI27Ro0apKSkRFZWVoV+b+Qq6P2cOHEiGRgYkKKiIllbW9PSpUvz9X4t7Lv3woULRJTTyaVGjRqkpqZGqqqq5OTkROvWreN12PkZfc+/t98KARHR10wov2fp6ekICQmBpaUlG6OonA0cOBBPnjzB5cuXKzqUQkVERMDU1BRnz55Fs2bNKjqcIu3atYsbo04sFhe4joWFBUaPHv3dPxYtr9DQUFSuXBkBAQG8DjJMjpkzZ+LQoUNFjo/IMN8C9ntbduwWLVMhlixZgubNm0NVVRUnT57Etm3b8Ndff1V0WDznz59HcnIyHBwcEBkZif/973+wsLBAo0aNKjq0fLZv3w4rKyuYmJjg/v37mDhxIrp161ZocvejycrKQkxMDKZNm4Z69eqx5I5hmJ8eS/CYCnHz5k0sWrQISUlJsLKywsqVKzFgwICKDosnKysLU6ZMwcuXLyGVSlG/fn3s2rUrX+++b0FUVBSmT5+OqKgoGBkZoWvXrrwhZn50/v7+aNKkCWxsbPL17mQYhvkZsVu0JcCqjBmGYRjmy2O/t2XHxsFjGIZhGIb5wbAEj2EYhmEY5gfDEjyGYRiGYZgfDEvwGIZhGIZhfjAswWMYhmEYhvnBsASPYRiGYRjmB8MSPAYA4OfnB4FAgPj4+G9y31u3boWmpmahy0NDQyEQCNgI/Z/Rt29fdOjQ4avvd+bMmahRo0aFx1GeGjdu/EM9BeRn8un1WBEsLCzg4+NToTEwPzaW4P0EBAJBka+ZM2dWaHz169dHZGQkNDQ0KjSOn8GKFSuwdevWig7jm4mjOCryPz9lVVTsP3OCMX78eJw7d66iw/jiHjx4gIYNG0JFRQWmpqZYtGhRoevu2bMHAoEg33+83r59i759+8LY2BgSiQQtW7bEs2fPeOts2LABjRs3hrq6eqHX2507d9C8eXNoampCR0cHgwYNQnJycnkcJlMIluD9BCIjI7mXj48P1NXVefPGjx//RfZLRMjOzv7sekpKSjA0NIRAIPgicZRFZmZmRYdQrjQ0NIqsCf3Z4mB+TmpqatDR0anoML6oxMREtGjRAubm5rh9+zYWL16MmTNnYsOGDfnWDQ0Nxfjx49GwYUPefCJChw4d8PLlSxw+fBh3796Fubk5PDw8kJKSwq2XmpqKli1bYsqUKQXG8ubNG3h4eKBKlSq4ceMGTp06hcePH6Nv377leswMH0vwfgKGhobcS0NDAwKBgDdPTU2NW/f27duoU6cOJBIJ6tevj+DgYAA5XwBCoRC3bt3ile3j4wNzc3PI5XKutuDkyZOoXbs2lJWVceXKFWRkZGDkyJHQ19eHiooKGjRogICAAK6MgmoZtm7dCjMzM0gkEnTs2BExMTHFOtaXL1+iSZMmkEgkcHJywrVr13jLDxw4gGrVqkFZWRkWFhZYunQpb7mFhQXmzJmDPn36QF1dHYMGDeJuDx87dgy2traQSCTo0qULUlNTsW3bNlhYWEBLSwsjR46ETCbjyoqLi0OfPn2gpaUFiUSCVq1a8f7nm1vuf//9Bzs7O6ipqaFly5aIjIzkxbRp0ybY2dlBRUUFVatW/ewze//55x84ODhALBZDR0eH92X86a3RpKQk9OzZE6qqqjAyMsLy5cvz3Xq0sLDA/Pnz8dtvv0EqlcLMzCzfj8TEiRNhY2MDiUQCKysr/PHHH8jKyio0xk/jaNy4MUaOHIn//e9/0NbWhqGhYb6a5SdPnqBBgwZQUVGBvb09zp49C4FAgEOHDhW6n8aNG2P48OEYPnw4NDQ0oKuriz/++AN5H+CzY8cO1KlTB1KpFIaGhujRoweio6MB5Fz3TZo0AQBoaWlBIBDwfpTkcnmhMY8fPx5t27blpn18fCAQCHDq1CluXpUqVbBp0yYAQEBAAJo3bw5dXV1oaGjA3d0dd+7c4db97bffeOUBOY/T09fXx+bNmws9B8UVFhaG9u3bQ01NDerq6ujWrRvevn3LLc+9rbllyxaYmZlBTU0NQ4cOhUwmw6JFi2BoaAh9ff18j8j7XLmfyszMxPDhw2FkZAQVFRWYm5tjwYIF3PJly5bBwcEBqqqqMDU1xdChQ3k1Qbmfq0OHDsHa2hoqKirw9PREeHh4vmPJq6jPWW4TkH///bfQ75dXr17By8sLWlpaUFVVRbVq1XDixIkiz3lqamqhn6uynoddu3YhMzMTW7ZsQbVq1fDLL79g5MiRWLZsGS8GmUyGnj17YtasWbCysuIte/bsGa5fv461a9fC2dkZtra2WLt2LdLS0vD3339z640ePRqTJk1CvXr1CjzOY8eOQVFREWvWrIGtrS2cnZ2xbt06HDhwAM+fPy/yHDFlQEyxpaWlUWBgIKWlpVV0KKXm6+tLGhoa+eZfuHCBAFDdunXJz8+PHj9+TA0bNqT69etz6zRv3pyGDh3K287R0ZGmT5/OK8PR0ZFOnz5Nz58/p5iYGBo5ciQZGxvTiRMn6PHjx+Tt7U1aWloUExPD2y4uLo6IiK5fv05CoZD+/PNPCg4OphUrVpCmpmaBcecKCQkhAFS1alU6duwYBQcHU5cuXcjc3JyysrKIiOjWrVskFApp9uzZFBwcTL6+viQWi8nX15crx9zcnNTV1WnJkiX0/Plzev78Ofn6+pKioiI1b96c7ty5QxcvXiQdHR1q0aIFdevWjR4/fkxHjx4lJSUl2rNnD1dWu3btyM7Oji5dukT37t0jT09PqlKlCmVmZnLvhaKiInl4eFBAQADdvn2b7OzsqEePHlwZO3fuJCMjIzpw4AC9fPmSDhw4QNra2rR169YCz8ObN29IQUGBli1bRiEhIfTgwQNas2YNJSUlERGRt7c3tW/fnlt/wIABZG5uTmfPnqWHDx9Sx44dSSqV0qhRo3jnRFtbm9asWUPPnj2jBQsWkFAopCdPnnDrzJkzh/z9/SkkJISOHDlCBgYG9Oeff3LLZ8yYQU5OTtz0p3G4u7uTuro6zZw5k54+fUrbtm0jgUBAp0+fJiKi7OxssrW1pebNm9O9e/fo8uXL5OLiQgDo4MGDhV4X7u7upKamRqNGjaInT57Qzp07SSKR0IYNG7h1Nm/eTCdOnKAXL17QtWvXyNXVlVq1asXt98CBAwSAgoODKTIykuLj44sV85EjR0hDQ4Oys7OJiKhDhw6kq6tLEydOJCKiiIgIAkDPnj0jIqJz587Rjh07KCgoiAIDA6l///5kYGBAiYmJRETk7+9PIpGI3rx5w8X+77//kqqqKvf+furTz1Ze5ubmtHz5ciIikslkVKNGDWrQoAHdunWLrl+/TrVr1yZ3d3fee6impkZdunShx48f05EjR0hJSYk8PT1pxIgR9OTJE9qyZQsBoOvXrxe73E8tXryYTE1N6dKlSxQaGkqXL1+m3bt3c8uXL19O58+fp5CQEDp37hzZ2trSkCFDuOW5n6s6derQ1atX6datW+Ti4sL7Lvv0evzc56w43y9t2rSh5s2b04MHD+jFixd09OhRunjxYqHH+bnPVVnPQ+/evXmfMSKi8+fPEwCKjY3l5k2fPp06dOhARPk/lw8ePCAA9Pz5c145lSpVIm9v73zHVNj1tnLlSqpUqRJv3rNnzwgA7/s3rx/h97aisQSvBAq74Lod7UZN9zX9qq9uR7uV6hg+l+CdPXuWm3f8+HECwB3v3r17SUtLi9LT04mI6Pbt2yQQCCgkJIRXxqFDh7gykpOTSVFRkXbt2sXNy8zMJGNjY1q0aBFvu9wvhV9//ZVat27Ni6979+7FSvA2bdrEzXv8+DEBoKCgICIi6tGjBzVv3py33YQJE8je3p6bNjc3577s8p6zT7/kfv/9d5JIJLwfVk9PT/r999+JiOjp06cEgPz9/bnl79+/J7FYTPv27Su03DVr1pCBgQE3XblyZd6XOlFOMuXq6lrgebh9+zYBoNDQ0AKX5/0CT0xMJEVFRdq/fz+3PD4+niQSSb4Er1evXty0XC4nfX19Wrt2bYH7IMr5capduzY3XZwEr0GDBrwynJ2duWTo5MmTpKCgQJGRkdzyM2fOFCvBs7OzI7lczs2bOHEi2dnZFbpNQEAAAeDe28J+tD4Xc1xcHAmFQgoICCC5XE7a2tq0YMECqlu3LhHlJBUmJiaFxiGTyUgqldLRo0e5efb29rzE2cvLi/r27VtoGbmxq6qq5nsJBAIuwTt9+jSJRCIKCwvjts39/Ny8eZOIct5DiUTCJZxEOde8hYUFyWQybp6trS0tWLCg2OV+asSIEdS0aVPee1aU/fv3k46ODjed+7nKTTKJiIKCgggA3bhxgzuWvNfj5z5nxfl+cXBwoJkzZxYrZqLPf67Keh6aN29OgwYN4q2TG3NgYCAREV2+fJlMTEzo3bt3RJT/c5mZmUlmZmbUtWtXio2NpYyMDFq4cCEBoBYtWuSLobDPyqNHj0hBQYEWLVpEGRkZFBsbS507dyYANH/+/AKPhyV4Zcdu0ZaD92nvEZ0a/VVf79Pef5FjcXR05P42MjICAO52VYcOHSASiXDw4EEAObdCmjRpAgsLC14ZderU4f5+8eIFsrKy4Obmxs1TVFSEi4sLgoKCCowhKCgIdevW5c1zdXUtc/xBQUG8OADAzc0Nz549491azRt/LolEgsqVK3PTBgYGsLCw4N3eNjAw4O1LQUGBdxw6OjqwtbXlHfen5RoZGXFlpKSk4MWLF+jfvz/U1NS419y5c/HixYsCj9/JyQnNmjWDg4MDunbtio0bNyIuLq7AdV++fImsrCy4uLhw8zQ0NGBra5tv3bznNfcWf26cALB37164ublxt/ynTZuGsLCwAvdbmLz7APjnIjg4GKampjA0NOSW5427KPXq1eO173R1deW957dv34aXlxfMzMwglUrh7u4OAMWKv6iYNTU14eTkBD8/Pzx8+BBKSkoYNGgQ7t69i+TkZFy8eJHbF5DTmH3gwIGwtraGhoYG1NXVkZyczItjwIAB8PX15dY/efIkfvvtt8/GefnyZdy7d4/3MjY25pYHBQXB1NQUpqam3Dx7e3toamryrlcLCwtIpVJu2sDAAPb29hAKhbx5eT8HxSk3r759++LevXuwtbXFyJEjcfr0ad7ys2fPolmzZjAxMYFUKkXv3r0RExOD1NRUbh0FBQU4Oztz01WrVi10nyX5nBX1/TJy5EjMnTsXbm5umDFjBh48eFDg8RVW3qefq/I4D0VJSkpC7969sXHjRujq6ha4jqKiIv799188ffoU2trakEgkuHDhAlq1asV7zz+nWrVq2LZtG5YuXQqJRAJDQ0NYWlrCwMCgROUwJaNQ0QH8CHTFBX84vsd9Kioqcn/n/ijK5XIAOZ0h+vTpA19fX3Tq1Am7d+/GihUr8pWhqqr6RWIrjqLiL66C4s9bbm7ZBc0r6b4KKoM+tA/LbU+zcePGfAmvSCQqsDyRSIQzZ87g6tWrOH36NFatWoWpU6fixo0bsLS0LFFsn4sz91ivXbvGteHx9PSEhoYG9uzZk699Y1n28aWkpKTA09MTnp6e2LVrF/T09BAWFgZPT89idbD5XMyNGzeGn58flJWV4e7uDm1tbdjZ2eHKlSu4ePEixo0bx63r7e2NmJgYrFixAubm5lBWVoarqysvjj59+mDSpEm4du0arl69CktLy3wN4wtiaWmZr1OLgkLJv/6/1Ocgr1q1aiEkJAQnT57E2bNn0a1bN3h4eOCff/5BaGgo2rZtiyFDhmDevHnQ1tbGlStX0L9/f2RmZkIikZR4fyX5nBX1/TJgwAB4enri+PHjOH36NBYsWIClS5dixIgRhe67qHNX1vNgaGiYr61j7rShoSFevHiB0NBQeHl5cctz962goIDg4GBUrlwZtWvXxr1795CQkIDMzEzo6emhbt26Bf5HuCg9evRAjx498PbtW6iqqkIgEGDZsmX52v0x5YcleOVgb9u9FR3CVzNgwABUr14df/31F7Kzs9GpU6ci169cuTKUlJTg7+8Pc3NzADkNwwMCAgodQ8zOzg43btzgzbt+/XqZY7ezs4O/vz9vnr+/P2xsbApNmMqyr+zsbNy4cQP169cHAMTExCA4OBj29vbFKsPAwADGxsZ4+fIlevbsWex9CwQCuLm5wc3NDdOnT4e5uTkOHjyIsWPH8tazsrKCoqIiAgICYGZmBgBISEjA06dP0ahRo2Lv7+rVqzA3N8fUqVO5ea9evSr29sVha2uL8PBwvH37FgYGBgDA66hTlIKuJWtra4hEIjx58gQxMTFYuHAhV8v0aUciJSUlAODV8haXu7s7tmzZAgUFBbRs2RJATtL3999/4+nTp2jcuDG3rr+/P/766y+0bt0aABAeHo737/k19To6OujQoQN8fX1x7do19OvXr8QxFcTOzg7h4eEIDw/nzkNgYCDi4+OLfb2WZ7nq6uro3r07unfvji5duqBly5aIjY3F7du3IZfLsXTpUq7mZ9++ffm2z87Oxq1bt7ha3uDgYMTHx8POzi7fuqX9nBXE1NQUgwcPxuDBgzF58mRs3LixyATvc8pyHlxdXTF16lRkZWVxieSZM2dga2sLLS0tiMViPHz4kLfNtGnTkJSUhBUrVvBqXQFww1g9e/YMt27dwpw5c0p1TLmf3y1btkBFRQXNmzcvVTnM57EEjykROzs71KtXDxMnTsRvv/0GsVhc5PqqqqoYMmQIJkyYAG1tbZiZmWHRokVITU1F//79C9xm5MiRcHNzw5IlS9C+fXv8999/vJ6HpTVu3Dg4Oztjzpw56N69O65du4bVq1d/tldqaVhbW6N9+/YYOHAg1q9fD6lUikmTJsHExATt27cvdjmzZs3CyJEjoaGhgZYtWyIjIwO3bt1CXFxcvoQNyElmzp07hxYtWkBfXx83btzAu3fvCvxhk0ql8Pb25t4bfX19zJgxA0KhsERD1lhbWyMsLAx79uyBs7Mzjh8/zt3GLy/NmzdH5cqV4e3tjUWLFiEpKQnTpk0DgM/GGhYWhrFjx+L333/HnTt3sGrVKq520czMDEpKSli1ahUGDx6MR48e5fvhMjc3h0AgwLFjx9C6dWuIxWLerfmiNGrUCElJSTh27BgWLlwIICfB69KlC4yMjGBjY8Ota21tzfXoTUxMxIQJEwr8fA0YMABt27aFTCaDt7d3seL4HA8PDzg4OKBnz57w8fFBdnY2hg4dCnd39xLX1JS13GXLlsHIyAg1a9aEUCjE/v37YWhoCE1NTVSpUgVZWVlYtWoVvLy84O/vj3Xr1uUrQ1FRESNGjMDKlSuhoKCA4cOHo169eoXe1i/p56wgo0ePRqtWrWBjY4O4uDhcuHChwM9dcZX1PPTo0QOzZs1C//79MXHiRDx69AgrVqzA8uXLAQAqKiqoXr06b5vcWt688/fv3w89PT2YmZnh4cOHGDVqFDp06IAWLVpw60RFRSEqKorrEfvw4UOuZ7C2tjYAYPXq1ahfvz7U1NRw5swZTJgwAQsXLmTDJX1B7OY3U2K5twGK0/YHABYuXIjOnTujd+/eqFWrFp4/f47//vsPWlpaBa5fr149bNy4EStWrICTkxNOnz7N/ZiXRa1atbBv3z7s2bMH1atXx/Tp0zF79uwvNhaTr68vateujbZt28LV1RVEhBMnTuS7LVOUAQMGYNOmTfD19YWDgwPc3d2xdevWQm+3qqur49KlS2jdujVsbGwwbdo0LF26FK1atSpw/WXLlsHV1RVt27aFh4cH3NzcuKEiiqtdu3YYM2YMhg8fjho1auDq1av4448/ir19cYhEIhw6dAjJyclwdnbGgAEDuBrDz8Xap08fpKWlwcXFBcOGDcOoUaMwaNAgAICenh62bt2K/fv3w97eHgsXLsSSJUt425uYmGDWrFmYNGkSDAwMMHz48GLHraWlBQcHB+jp6aFq1aoAcpI+uVzOa38HAJs3b0ZcXBxq1aqF3r17c0MLfcrDwwNGRkbw9PTktaMrC4FAgMOHD0NLSwuNGjWCh4cHrKyssHdv2e5OlKZcqVSKRYsWoU6dOnB2dkZoaChOnDgBoVAIJycnLFu2DH/++SeqV6+OXbt28YYOySWRSDBx4kT06NEDbm5uUFNTK3KfJf2cFUQmk2HYsGGws7NDy5YtYWNjU6b/PJb1PGhoaOD06dMICQlB7dq1MW7cOEyfPp279osrMjISvXv3RtWqVTFy5Ej07t2bN0QKAKxbtw41a9bEwIEDAeRc4zVr1sSRI0e4dW7evInmzZvDwcEBGzZswPr16zFy5MhSnh2mOAREeQaEYoqUnp6OkJAQWFpalugH8EczZ84c7N+/v1iNiJnvS0pKCkxMTLB06dJCa1i/Ff7+/mjQoAGeP3/O66iSV+PGjVGjRo0f6okNycnJMDEx4drCMnxbt27F6NGjv8snjzAfsd/bsmO3aJliS05ORmhoKFavXo25c+dWdDhMObh79y6ePHkCFxcXJCQkYPbs2QBQotvIX8vBgwehpqYGa2trPH/+HKNGjYKbm1uhyd2PRi6X4/3791i6dCk0NTXRrl27ig6JYZhvGEvwmGIbPnw4/v77b3To0KHYt2eZb9+SJUsQHBwMJSUl1K5dG5cvXy502ISKlJSUhIkTJyIsLAy6urrw8PAocU/d71lYWBgsLS1RqVIlbN26tVS9YBmG+XmwW7QlwKqMGYZhGObLY7+3Zcc6WTAMwzAMw/xgWILHMAzDMAzzg2EJHsMwDMMwzA+GJXgMwzAMwzA/GJbgMQzDMAzD/GBYgscwDMMwDPODYQkew/wg/Pz8IBAIyjyCf3mVw5SOhYVFhT55g73/DPNjYAneT6Jv377o0KFDRYeRz4/8YzJz5kzUqFHji5TduHFjjB49mjevfv36iIyMhIaGxlcvpzQKuyZ/5GuiOAICAkr8vNDv0Zo1a2BhYQEVFRXUrVsXN2/eLHA9IkKrVq0gEAhw6NAhbv7WrVshEAgKfEVHRwMA/v33XzRv3hx6enpQV1eHq6sr/vvvv1LHwjDfE5bgMT8EIkJ2dnZFh1GhlJSUYGhoCIFA8E2Uw5SOnp4eJBJJRYfxRe3duxdjx47FjBkzcOfOHTg5OcHT05NLzPLy8fEp8Frs3r07IiMjeS9PT0+4u7tDX18fAHDp0iU0b94cJ06cwO3bt9GkSRN4eXnh7t27pYqFYb4rxBRbWloaBQYGUlpaWkWHUmLe3t7Uvn37Qpf7+fmRs7MzKSkpkaGhIU2cOJGysrK45e7u7jRixAiaMGECaWlpkYGBAc2YMYNXRlBQELm5uZGysjLZ2dnRmTNnCAAdPHiwwH2GhIQQAN7L29ubiIhkMhnNnz+fLCwsSEVFhRwdHWn//v3cthcuXCAAdOLECapVqxYpKirShQsXyN3dnYYPH06jRo0iTU1N0tfXpw0bNlBycjL17duX1NTUqHLlynTixIkiz5e5uTnNnj2bfvnlF5JIJGRsbEyrV6/mrfPq1Stq164dqaqqklQqpa5du1JUVBQREfn6+uY7Nl9fXyIiiouLo/79+5Ouri5JpVJq0qQJ3bt3jyt3xowZ5OTkRNu3bydzc3NSV1en7t27U2JiIhHlvJeflh0SEsKdk7i4OCIiev/+Pf3yyy9kbGxMYrGYqlevTrt37+b2U9xyiIj++ecfsre3JyUlJTI3N6clS5bkO1/z5s2jfv36kZqaGpmamtL69euLPMeFXZOl3f+cOXOod+/epKqqSmZmZnT48GGKjo7m3iMHBwcKCAjgbfe5cj917949aty4MampqZFUKqVatWpxZX7ufBPlfI6GDRtGw4YNI3V1ddLR0aFp06aRXC7nHcvy5cu56bJeL0RE+/fvp+rVq5OKigppa2tTs2bNKDk5ucBjzD3/Z8+epdq1a5NYLCZXV1d68uRJuZ0HFxcXGjZsGDctk8nI2NiYFixYwFvv7t27ZGJiQpGRkUV+lxARRUdHk6KiIm3fvr3QdYiI7O3tadasWSWOhfm6vuff228FS/BK4Hu+4IpK8CIiIkgikdDQoUMpKCiIDh48SLq6urwEzt3dndTV1WnmzJn09OlT2rZtGwkEAjp9+jQREWVnZ5OtrS01b96c7t27R5cvXyYXF5civ5Szs7PpwIEDBICCg4MpMjKS4uPjiYho7ty5VLVqVTp16hS9ePGCfH19SVlZmfz8/Ijo44+Qo6MjnT59mp4/f04xMTHk7u5OUqmU5syZQ0+fPqU5c+aQSCSiVq1a0YYNG+jp06c0ZMgQ0tHRoZSUlELPl7m5OUmlUlqwYAEFBwfTypUrSSQScccrk8moRo0a1KBBA7p16xZdv36dateuTe7u7kRElJqaSuPGjaNq1apRZGQkRUZGUmpqKhEReXh4kJeXFwUEBNDTp09p3LhxpKOjQzExMUSU84OtpqZGnTp1oocPH9KlS5fI0NCQpkyZQkRE8fHx5OrqSgMHDuTKzs7OzpcYRURE0OLFi+nu3bv04sUL7hhu3LhRonJu3bpFQqGQZs+eTcHBweTr60tisZhLWHPPl7a2Nq1Zs4aePXtGCxYsIKFQyEsKPlXcBK8k+1+3bh33Hqurq1PLli1p3759FBwcTB06dCA7OzsumSpOuZ+qVq0a9erVi4KCgujp06e0b98+Ltn63Pkmyvkcqamp0ahRo+jJkye0c+dOkkgktGHDBt6x5E3wynq9vHnzhhQUFGjZsmUUEhJCDx48oDVr1lBSUlKBx5h7/uvWrUt+fn70+PFjatiwIdWvX79czkNGRgaJRKJ83wt9+vShdu3acdMpKSlkZ2dHhw4dIiL6bIK3ZMkS0tDQ4D5nBZHJZGRqakqrVq0qUSzM1/c9/95+K1iCVwKFXXAvO3Wmp43cv+rrZafOJYq9qARvypQpZGtry6tFWLNmDampqZFMJiOinB+mBg0a8LZzdnamiRMnEhHRyZMnSUFBgSIjI7nln6vBIyq4tiY9PZ0kEgldvXqVt27//v3p119/5W2X++Wf69M4s7OzSVVVlXr37s3Ny60NuHbtWqFxmZubU8uWLXnzunfvTq1atSIiotOnT5NIJKKwsDBu+ePHjwkA3bx5k4g+1qzkdfnyZVJXV6f09HTe/MqVK3M1XjNmzCCJRMKrgZkwYQLVrVuXd5yjRo3ilVHQufxUmzZtaNy4cSUqp0ePHtS8eXPeOhMmTCB7e3tu2tzcnHr16sVNy+Vy0tfXp7Vr1xYai7e3N4lEIlJVVeW9VFRUyrz/3Pf4jz/+4OZdu3aNAHDXaHHK/ZRUKqWtW7cWuvxTBZ3vvEkmEdHEiRPJzs6Odyy5CV55XC+3b98mABQaGlqsmPPW4OU6fvw4AeC++8pyHl6/fk0A8n2+J0yYQC4uLtz0oEGDqH///tz0575L7OzsaMiQIUXG8eeff5KWlha9ffu2RLEwXx9L8MpO4Qvc9f3pZL9/j+y3bys6jFILCgqCq6srr52Lm5sbkpOTERERATMzMwCAo6MjbzsjIyOunUpwcDBMTU1haGjILXdxceGt36pVK1y+fBkAYG5ujsePHxcYz/Pnz5GamormzZvz5mdmZqJmzZq8eXXq1Mm3fd44RSIRdHR04ODgwM0zMDAAgM+2sXF1dc03ndu7MSgoCKampjA1NeWW29vbQ1NTE0FBQXB2di6wzPv37yM5ORk6Ojq8+WlpaXjx4gU3bWFhAalUyk3nPdfFJZPJMH/+fOzbtw+vX79GZmYmMjIySty+KygoCO3bt+fNc3Nzg4+PD2QyGUQiEQD+eRcIBDA0NPxszE2aNMHatWt5827cuIFevXqVaf+573Fh77uhoWGxy81r7NixGDBgAHbs2AEPDw907doVlStXBlD8812vXj3eZ83V1RVLly4tcJ/lcb04OTmhWbNmcHBwgKenJ1q0aIEuXbpAS0sr3/Hllfd8GhkZcefOzMysXM5DUY4cOYLz58/z2soV5dq1awgKCsKOHTsKXWf37t2YNWsWDh8+zLXRY5gfGUvwyoGCru5PsU9FRUXetEAggFwuL/b2mzZtQlpaWoFl5ZWcnAwAOH78OExMTHjLlJWVedOqqqrFijPvvNwf15LEXl6Sk5NhZGQEPz+/fMs0NTW5v8t6rgFg8eLFWLFiBXx8fODg4ABVVVWMHj0amZmZpQn9s0oTs6qqKqpUqcKbFxERUeb9577H5f2+z5w5Ez169MDx48dx8uRJzJgxA3v27EHHjh2/yPkuj+tFJBLhzJkzuHr1Kk6fPo1Vq1Zh6tSpuHHjBiwtLQvdd1HnriznQVdXFyKRCG8/+U/x27dvuf8gnj9/Hi9evOAdIwB07twZDRs2zHc+Nm3ahBo1aqB27doFHsuePXswYMAA7N+/Hx4eHtz84sTCMN8rluCVA8sD/1R0CGViZ2eHAwcOgIi4L3J/f39IpVJUqlSpWGXY2toiPDwcb9++5WpKAgICeOt8mqwBOT02gZz/9eeyt7eHsrIywsLC4O7uXqpjKg/Xr1/PN21nZwcg55yFh4cjPDycq8ULDAxEfHw87O3tAeQcW97jAoBatWohKioKCgoKsLCwKHVsBZX9KX9/f7Rv356rDZPL5Xj69CkXX3HLsbOzg7+/f76ybWxsCqzlKm9fav+lLdfGxgY2NjYYM2YMfv31V/j6+qJjx47FOt9ATg1lXtevX4e1tXWB+yyv60UgEMDNzQ1ubm6YPn06zM3NcfDgQYwdO7bUZZb2PCgpKaF27do4d+4cN0yOXC7HuXPnMHz4cADApEmTMGDAAN7+HBwcsHz5cnh5efHmJycnY9++fViwYEGBcf7999/47bffsGfPHrRp04a3rDixMMz3iiV4P5GEhATcu3ePN09HRwdDhw6Fj48PRowYgeHDhyM4OBgzZszA2LFjIRQWbySd5s2bo3LlyvD29saiRYuQlJSEadOmAUCRw22Ym5tDIBDg2LFjaN26NcRiMaRSKcaPH48xY8ZALpejQYMGSEhIgL+/P9TV1eHt7V3qc1AS/v7+WLRoETp06IAzZ85g//79OH78OADAw8MDDg4O6NmzJ3x8fJCdnY2hQ4fC3d2du21sYWGBkJAQ3Lt3D5UqVYJUKoWHhwdcXV3RoUMHLFq0CDY2Nnjz5g2OHz+Ojh07FnjLuSAWFha4ceMGQkNDoaamBm1t7XzrWFtb459//sHVq1ehpaWFZcuW4e3bt7yEozjljBs3Ds7OzpgzZw66d++Oa9euYfXq1fjrr79Kc1pL7Evtv6TlpqWlYcKECejSpQssLS0RERGBgIAAdO7cGUDxzjcAhIWFYezYsfj9999x584drFq1CkuXLi1wn+Vxvdy4cQPnzp1DixYtoK+vjxs3buDdu3fcf1ZKqjzOw9ixY+Ht7Y06derAxcUFPj4+SElJQb9+/QAAhoaGBdagmZmZ5at13Lt3L7Kzs3m39XPt3r0b3t7eWLFiBerWrYuoqCgAgFgs5sZ5/FwsDPPdquhGgN+T77nRZ0FDYgDgGjEXZ5iUTxvjt2/fnhvWhOjjMClKSkpUtWpVOnr0KAGgU6dOFRnb7NmzydDQkAQCAVeeXC4nHx8fsrW1JUVFRdLT0yNPT0+6ePEiERXeoaCgOD/tlUj0+Qbb5ubmNGvWLOratStJJBIyNDSkFStW8NYpapgUopzOIp07dyZNTU3eMCmJiYk0YsQIMjY2JkVFRTI1NaWePXtyHTYK6pyxfPlyMjc356aDg4OpXr16JBaLCx3eJCYmhtq3b09qamqkr69P06ZNoz59+vA62xSnHKKPw4koKiqSmZkZLV68+LPn2MnJKd9QOnmVZpiUkuz/0/c4d1ieu3fvFrvcvDIyMuiXX34hU1NTUlJSImNjYxo+fDj3fVCc8+3u7k5Dhw6lwYMHk7q6OmlpadGUKVOKHCalrNdLYGAgeXp6kp6eHikrK5ONjQ3Xi7QgBZ3/u3fvctdHeZwHIqJVq1aRmZkZKSkpkYuLC12/fr3QmIgK/8y6urpSjx49CtzG3d29wO+9vN9bpYmF+fK+59/bb4WAiOjrpZPft/T0dISEhMDS0hIqKioVHc43z9/fHw0aNMDz58+5BtjfCwsLC4wePTrfUx4YpiwaN26MGjVqVOijyBjme8B+b8uO3aJlys3BgwehpqYGa2trPH/+HKNGjYKbm9t3l9wxDMMwzPeOJXhMuUlKSsLEiRMRFhYGXV1deHh4FNq2iGEYhmGYL4fdoi0BVmXMMAzDMF8e+70tu+J1kWQYhmEYhmG+GyzBYxiGYRiG+cGwBK8U2F1thmEYhvly2O9s2bEErwRyH92TmppawZEwDMMwzI8r93e2qMdaMkVjvWhLQCQSQVNTk3uIt0QiKfIpDQzDMAzDFB8RITU1FdHR0dDU1Pwqj0P8UbFetCVERIiKikJ8fHxFh8IwDMMwPyRNTU0YGhqySpQyYAleKclkMmRlZVV0GAzDMAzzQ1FUVGQ1d+WAJXgMwzAMwzA/GNbJgmEYhmEY5gfDEjyGYRiGYZgfDOtFWwLZ2dm4e/cuDAwMIBSy3JhhGIZhvga5XI63b9+iZs2aUFBgqUtxsLNUAnfv3oWLi0tFh8EwDMMwP6WbN2/C2dm5osP4LrAErwQMDAwA5FxgRkZGFRwNwzAMw/wcIiMj4eLiwv0OM5/3TSd4AQEBmDFjBq5evYqsrCw4ODhg7Nix6NatW7HLePPmDf7880+cOXMGr169gpqaGqytrfH777+jR48eJeqKnXtb1sjICJUqVSrx8TAMwzAMU3qseVTxfbMJ3oULF+Dp6QkVFRX88ssvkEqlOHDgALp3747w8HCMGzfus2W8fPkSdevWRUxMDDw9PeHl5YXExEQcOnQIffr0wfnz5+Hr6/sVjoZhGIZhGObr+SbHwcvOzkbVqlURERGB69evo0aNGgCAhIQEuLi4IDQ0FE+fPoW5uXmR5QwdOhRr166Fj48PRo0axc2Pj4+Hk5MTwsLCEBoa+tlyckVERMDU1BTh4eGsBo9hGIZhvhL2+1ty32Rd5/nz5/HixQv06NGDS+4AQENDA1OmTEFmZia2bdv22XJevnwJAGjdujVvvqamJho0aAAAeP/+ffkFzjAMwzAM8w34JhM8Pz8/AECLFi3yLfP09AQAXLx48bPlVK9eHQBw4sQJ3vz4+Hj4+/vD0NAQ9vb2ZYyWYRiGYRjm2/JNtsF79uwZAMDa2jrfMkNDQ6ipqXHrFGXChAk4evQoxowZg1OnTsHR0ZFrgyeRSHDw4EGIxeJCt8/IyEBGRgY3nZSUVIqjYRiGYRiG+bq+yQQvISEBQM4t2YKoq6tz6xTFwMAA165dQ69evXDy5EmcOnUKACAWizF48GA4OTkVuf2CBQswa9asEkbPMAzDMAxTsb7JW7Tl5fnz53Bzc8O7d+9w+fJlJCUlITw8HNOnT8ecOXPQrFkzyGSyQrefPHkyEhISuFdgYOBXjJ5hGIZhGKZ0vskavNyau8Jq6RITE6GlpfXZcvr27YtXr17h5cuXMDQ0BACoqalh0qRJePv2LXx8fLBnzx707NmzwO2VlZWhrKzM2y/DMAzDMMy37puswctte1dQO7uoqCgkJycX2D4vr6SkJPj7+8POzo5L7vJq0qQJgJzHjzHfruikdEQnpVd0GAzDMAzzXfkmEzx3d3cAwOnTp/Mt+++//3jrFCYzMxNA4cOgvHv3DgB4NXQVSf7tDUdYoYgIL98lo8GfF1B3/jmsOvcMcjk7RwzDMAxTHN9kgtesWTNYWVlh9+7duHfvHjc/ISEB8+fPh5KSEvr06cPNj4yMxJMnT3i3dHV0dGBra4uwsDBs2rSJV358fDyWLFkC4GNNXkXKyMzCm+hYZGVnV3Qo+RAR6CvHRUTo6xuApksvIjNbDiJg6ZmnGLj9FhLSsr5qLAzDMAzzPfomEzwFBQVs2rQJcrkcjRo1wqBBgzBu3Dg4OTnh6dOnmD9/PiwsLLj1J0+eDDs7Oxw8eJBXzvLly6GgoICBAwfCw8MDEyZMwIABA2BjY4MnT56gc+fO8PDw+MpHl1/mhwQqO1tewZHwEREihgzFU5e6ePfXXyB5/vhit+/A6wn/Q3pwcLntNzw2DRefvss3/9yTaLRbfQVBkawtJMMwDMMU5ZtM8ICcmrUrV67Azc0Ne/fuxdq1a2FgYIA9e/YU6zm0ANCqVStcvXoVXbt2RWBgIHx8fLB3715YWFhg1apV2Lt37xc+im+DLDERCceOI7uIp3bIkpOReucuV1sni49H/N59SPbzgzw1Fe9XrkLEkKGQfaglTblxEzG+W/F2/nwkHj2KkPYdkHDkSLnEm5ZVeM/mVzGp6PiXPw7ejUBGtgw7rr/CqUdR+AafuMcwDMMwFeabfBbtt+pLPQsvKTUNCUmp0NGQQqyiVG7l5gr7/XekXLwEkYYGjJcsgVrDBrzlRISXbb2Q+eIFxDVrwsRnOcJ/H4yMJ0/ylaVoagr9CePxeuSofMsAQKtHDxhMmgiBUumP4+LTdzg8eRGMU2Kw37ox3LKj0U8jCctUHXEhReVjLCIBsmQ5l69nNQNM8LTFwpPBqKQlxrgWNpCqKJY6BoZhGObbwZ5FW3IswSuB7ynBSzx1Cu98VkCtaVMkHDwIWVxczgKBAHojR0Dn998hEOZU4MoSEvC0bj1uW5G2NmSxsaXet9jJCSYrfKBYQO/lz1l/8CaS1q9Dm9BrBS4/33M8Fqd8vlxNiSL2/+4KawNpiWNgGIZhvi0swSu5b/YWLVNysuRkJJ0/D1lyMmI2bUZmaChit2z5mNwBABHerViJiKHDIPswrt+nbesKSu7UmjSByodn+xZEKJVytXZp9+8jpHMXpFy/UezYSSbDkbV7UXnuuEKTOwBoumsJtmYHQEVY9P9L4lOz0H6NP449eFPsGBiGYRjmR8ESvB9IxLDhiBg6DC+92hXe6UEgAAAk+/khpEtXpD95gpRLl4osV9XNDfoTxsN8105oduuWb7mKoyMs/t4N8927oWhsDACQxcQg7LffELN5c7HaxwX77ob1ipkwSSm8nWAug2N7cSBkL0yFH58TLFES5VsvNVOG4bvvYs6xQGTJvq0OLAzDMAzzJbEE7weS9vAhACA7MhLIyj+ciGKlSjDduBGiD08KyQoLQ+gvvyJm0+aP65iZQWfw79y0Rvv2MNu8CcpWVhAqK8No9iwYzZsLgbIyoKAAiz1/w3LfXihXqQJx9WqwOPAPVBt8aOMnlyN68RK8HjIQsuTkfPHI4uORERKC9+s3gJbML/CYlDSyAEFOgqgglnF/C+/ewib/lZhtA6z6tSZuTfNAO6ec5FJVSYQ2DkZcGZuvhKDnxhtswGSGYRjmp8Ha4JXAl26Dp62hBolK6QdeDqpqV+B8taZNkeznB93Bg6E3cgSyXr9GxKjRSH/0KN+6Bn9Mg3bPnkgNCEBKQAA0u3SBor5+vvVkSUmQp6ZC0cAg3zKSyfB+Ym+8P/bxKSFKlQxQad0mxKxdg5Q796Hdpw9i1q3jeuUWRKNhHPq5aEEnBhj6KhlueolIe6+EiKtakKXn1NgJFBRg8HtXaA6bBggEeB6dDH2pCtTFCth5/RVmHwvkOmLoS5WxpmctOFtoF30iGYZhmG8Ka4NXcizBK4FvOcGL27MHUTNn5ZuvaGaGKqf/gzwtDUKxmJsvz8jA27nzEL9/P2998x3bIXF2LnkAREDsS0DLEshKBRaYIOm1Mt5c14I8q2QVxaqG6dCqloy+Ttp4qvyx08lvlu0w4uFZUNhTvPbXQtr7j+dKo6Y+DNf/C6GqOiD62Hv2Tlgchu68g6jEnNo7BaEAU1rboZ+bBQQfblczDMMw3zaW4JUcu0X7g4jx9eX+VjQzg8mKFVBr1gwGUyYDAC+5A5Bzu3XObBjNncMb0kQoLWWv0yPDgVW1gE3NgJCcNn1SkwxYtngHZc3iP31C6JSCSo1j8dsnyR0AbAk5gsFWdkis3QbmTWOgbfvxtm/C3WiEtqiLzIkGwF+uQOQDAEAtMy0cG9kArlY6AIBsOWH2sUCM3HMPKRnf3pNDGIZhGKY8sATvB5AVGYmsN5HctIqtDdQ9W8B0zWpIGzcuclvNLl1gvns31NzdodWnN5RtbQtdN7eyl4iw4uwzTDn4EK/j03IW3t2Z8++bO8C+j4+RU5LKYPFHN2hYpH72OI65CNCltQZG6eviiXLBw8XciL6N7oIoPGwyBgY1E2FSPxYChZwOFBnxigj5Tw/J914A6xsC9/4GAOiqKWNHfxf87m7FlXP0/ht0/MsfL9/lbxvIMAzDMN87dou2BL7FW7SxO3bi7bx5vHnWV/2hoF2+7czCY1PRc9MNSBSF6FnPHHMP34Uq0tFRdAXDzF9D+82FArc7pd4F9Qavhcbri4idMxDRt1QAuQCaVilITFCCPE2I+PqaOK2bjn8s5Fwv37zstO0wyWUSxl0ch/dpOb1sFYWKmFS5K7o+OI7M0DeIuKCMzDzN+XSrJUG3WhIELv1BLeZBoJRTg3nyYSQm/PMAyR9q79SUFbCkqxNaVi/5mH0MwzDM18Fu0ZYcS/BK4FtM8MJ+64+Uq1e5aYFEgqp3bpdbbADwMCIB/96NQOy1nZihuB1X5dXgJnwMLcHna7/WZLfDHvV+WNuzNh4FBSHi2Ea8TDKEWqVI/Gd5E3IA3ZKSsU+94FvDCkIFnO1yFjpiHbxLfYfxF8fjTvQdbnm7yu3wR70/oJgQh8gBnZEU9HHMP1WjdIgU5UiOUoVWz1+hN34KBCIRXrxLxuAdt/Es+mP8g90rY3wLGyiIWKU2wzDMt4YleCXHfs2+c/J0/tAfBfV4LYuzgW/htfoKdvo/xwqlv6AtSEZb0Y1Ck7tsi8YIcRwDOeXUxN2XV0Z4bBo6r72KSWdjsFqlE07o1ce/ylaQCwSAQFBocgcAQ52GQkec035OT6KHTZ6b0MuuF7f8yIsj6H2yNyKVZDA5cAX6g3sBH57QkRKpgsQwCeSZhBjf3Qjv1RXZsbGw0pFgR0djtHbIKRdEWHfxBfpsuYn3yRn5YmAYhmGY741CRQfAlF7W22ik3flYmyXS0IB2v37lVv7Ld8nYfCUESsjCYsX1xdpm5RtbHIxuBMVME2ghCbfJBgCQkc0faNirphRnowsu41KnM1j5aD3ep75HhyodeMsUhYqY6DIRjnqOmHF1BtKy0/Ak9gm6H+uOBQ0XQPKLJwKkr1F3nT/ESZm8bVPuBiGkrSeyBYpATBzcbBXQEZWg8ioOu6o2xymqC69VV7BeIwxq/x2GZudO0Ordm/W2ZRiGYb477BZtCXxrt2jfTJqMhEOHuGnb+/cgVM6/PRFh3L77CH6bhPGetmhi+/lavqiEdLj9eR4yuRzHlaagmvBVoevKRMrYJmuJoCwDHJa5IRMfhynpXc8cciLsuhHG20ZqN6nAsowEyjjd59Zn4wOAZ3HPMMZvDF4l5o9NO5Hwv39ksHpbrKIAAKfNnLHGqRMOH538MU5PTxjNmweRmmrxC2IYhmHKFbtFW3KsBu8bIEDpaogyQ0P55Qj5d9wDQmOhKBJCRVGIf+++BgD08w3AaA9rjGxqDaEwZ79EhGw5QTFP+7PgiHdQkGdAA+n5krtsp16A1BCyuHAot5wDkaIYzVMVcGDnbWS+SeSt613fHFX0pahhqokJ/+QMXWKgroS8fWoXuy/G2VdncTvqFqbUn1ns47fWssbfbf7G1CtTcSGc38kjVl2AaX1E6OIvR9VwwnEXIdrekMMuovDyWoQFoNHre7x5Sf/9h4xnz1Bp1UooV65c7NgYhmEYpiKxBO87JlD8WFOmO3QIb/r6yxj8suE6AHBjwOXyOfsM98Pjsbx7DWiIFdFny03ceRWHoU2qYIh7ZQgz4uFypAnuKScgmEx525KyOhTaLgUUVXgXj6kKcGBIffxx6BH2346Aks4FCMXheJVsgCr6ddC1jikcKmng4J3XqG6RjikBH7dtbtYcLS1agohKfDtUqiSFTxMfbHm0BSvurOAty1YQYI+7CC3MW0CQEY/ZlW+g93k5Wt8qvNJaRZZ/zL7Mly8R2rUbjObPh3pLzxLFxzAMwzAVgSV437HUgI9Zks7gwbxlj/PUpF17GZNv2wvB7+C1+gqmtLLD5Wc5Q48s/i8Yd8PisaLma6hmvAMEQA3BC952gl//BhRVCoxHRVGERV0cUcU4G6uf/wcAGH25H6ZnT0cX6y6oaqiOya3VUW93PW6bWvq1IBJ+eOxYKdu6CQVCDHAYAHsde6y9txZykqO3fW9oqmgiPj0eHuYeAICVd1fCV+SLe1ZyVAsjRFXNwsDbmbifKcEpRyG8z8ph/LETLt7o6iA9UwlWiZGQp6bi9ejRSOvXD/rjxkKgwD46DMMw36pXr17h6tWrePPmDZKTk9G9e3dUrVqVW37o0CHcv3+ft03lypXRq1evT4viuXnzJq5evYrk5GQYGhqiVatWMDEx+SLHUFbsV+o7lRUVxZv+NDUqrGmlnZE63iamIzYlE+GxaRi6+w5v+dmgt9j2+jyGFrRx6yWARYMi4xIIBMgQ+/Pmzb42Gw/fPcSUulNwM+omUrJSuGWayppFllcS9Y3ro75x/UKXj609Fg66DpimMA33Kqeil82vqFb5JYyDDsFPXweT+6pg+DE5nJ/lnLtatZ/giqQWom5rwzAsFgAQ6+uL9EePYLJ8GRR0dcstdoZhGKb8ZGZmwsDAADVq1MC+ffsKXKdKlSpo3749Ny0SiYos89GjRzh9+jTatGmDSpUq4fr169i5cyeGDx8OVdVvr502S/C+U1nh4fwZn9QonQ4suHeBZzUDdKtjiiG77uB+eDyIgM7CS6gpfIYtslZ4ScZwTAsACrrOzQtPnvJ6Fvcs37yDzw8iMCYQwXHBvPm97Iv+31J5a27eHDX0aiAwJjAnGaynAK0bLlj731Ss0VTDks7qcHpJkAmBVBMdLI++DQvXbMTpSRB1RxMCyqk5DenUGSY+PpDUqvlV42cYhmE+z9raGtbW1kWuIxKJoKamVuwyr1+/jlq1aqFmzZzv/bZt2+LZs2e4e/cuGjQouvKjIrAE7zuVt4ZOUqcOr4NFepYMN0Niuel5HavjYUQCIhPS0bWOKYw1xdj3ez3MPhqIEzce4U/FDVAQyNFL4Ry2ifugQdpjbttdyt3Q01oGaFkC+vbFiutFwsfbup2sO+FkyEmkZaflS+5+rfornA2dS3X8ZaEn0YO7xP3jjHpDIKrRAyMBVI+4iKlK85GclQJACb8aG2Leuxg0s06FilYWXvnrAmkCZEdHI6RXb4R0GwiPqcOgosg+SgzDMN+T0NBQLF68GGKxGBYWFmjatCkkEkmB68pkMrx584aXyAkEAlhZWSEioojeexWIDXT8HZKnpSFi2HBuWlyzBm957mO4cjmYaGBhZ0ds+80FJpo5j+xSpkzM87LF1prPoSD4OEadd9p23rZP1VyALluAZn8U+BixT216uAnhSR9rF0fUHIGdrXfCTGqWb90xtcd8tryvRkUDUNFA0yrt8HebPaiiWQUAkCIUYrSBHny0NKCkmwVrz7dQ1s/piCGUy1B5zzrs7dAfEZGxRZXOMAzDlIOkpCQkJiZyr4yM0g1OX6VKFXTs2BF9+vSBh4cHXr16hV27dkEulxe4fmpqKogo361YVVVVJCd/m880L7cEj4iQmvr5B8ozZZd85QrkSUl55vATr0+b3zmYaPBnJLwGllcHFleBU9CSIvfVuU2bEsUWEBXAm1YUKsJGywZ/t/2b1z5uVK1RECuIS1T212KhYYFdrXehlUUrbt5mTQ38bmqJRAlg2fgdtKt+/EC7vLiJxx264OrFuxURLsMwzE/D3t4eGhoa3GvBggWlKqd69eqwtbWFgYEBqlatih49euDNmzcI/WT4se9Zme4rRUVFYcGCBTh69CjCw8NzxlPLzsb69evx9u1bKCgoYMqUKeUV60+NsrIQs3UrBEIhhKr8NgMibW3etEz+McNrWlX/Y+9UWTawuxvw4lzBO5HoAqnvP0533ABHK+MSxRmV+rHzh72OPdSV1AEA6krqWOuxFqdCTiE2PRZdbbuWqNyvTaIowZ+N/oSjniOW3lqKbMrGTQUZultYYVlEGBxqJEKsk4nIG5qQZwthlhCJlGH9sHfAeHQd2ZMbY5BhGIYpP4GBgbxeq8oFDO5fGlpaWpBIJIiNjYWVlVW+5RKJBAKBACkpKbz5KSkpJWrH9zWVOsG7fv062rVrh5iYGK49WG4i8fr1a8ydOxcCgQD169dH48aNyyXYn1ny5St4t3RZgcue13LHiI3X4W6jhwENrXDl+cckLTk9z+3a8BuFJ3cAMPIuEB0InJwIKEoAu7YlivFyxGWEJIRw0ztb7+QNfSIUCNHaqnWJyqxIAoEAvex7wU7HDuMvjsf7tPeIokx4VzLBpHcx6GqaCGWN94i4ooXMREWoZmfAcd08bH/wEB1XzYKGasHDyTAMwzClI5VKoa6uXu7lJiYmIjU1FVJpwc9GF4lEMDY2xsuXL7nhVogIL1++hIuLS7nHUx5KdYs2NjYWnTp1wvv3OYnEp+OXdenShfv7xIkTZQiPyZX9NqrA+YYzZ8DnxltcfRGDBSef4LetAYhJ/tgm4X2ev5GZUkAJH9i2AVTUAbN6wO8Xgd9OAkol6/Z9Nuwsb1pRqFjImt+X2ga1sa/tPtTSrwUAyCIZ5uhqYrqeHkhDBsvm7yE1TePWr3v1CK63aIegph4I6d4daY8eF1Y0wzAM8wVkZmYiKioKUR+GFIuLi0NUVBQSEhKQmZmJ06dPIyIiAvHx8Xj58iX27NkDbW1tVM7zxKLt27fj5s2b3HS9evVw584d3Lt3D+/evcOxY8eQlZWFGjVqfO3DK5ZS1eCtXr0aUVFREAgEBY635ujoCF1dXcTExOD69etlDpIpfFw7QIC3ienc1MWn73D52TtuelAjKyD2JfDwABB0mL+pSBnotg2IDQGqdypTfO9S3+HfZ/9y0zZaNmUq71ujJ9HDJs9NWHZrGXYG7QQAHFITI1jLActVbGCiewOxN2MRfU8dIAHMYnI6mqS/eY3QLl3wwnsUmowdAFVl1tuWYRjmS3vz5g22bdvGTZ8+fRoA4OTkhDZt2iA6Ohr3799Heno6pFIpKleujCZNmkAhz5BjsbGxvL4F1atXR2pqKvz8/LiBjnv27Plj3aI9evQo9/fu3buxb98+HMrz0HsgpyHkpUuX8Pz58zIFyHxQSIKnZGUJlbf8XkR5muBBQZYKHB4LvOIPPgw7L6D1UkBqUObQMmWZaLq/KW/e5haby1zut0ZRqIiJLhPhoOuAmddmIi07DUFZ8eguDMaf7ZfATXcDxFqXEXFVC7J0/kCClbetwK5rAWj61yJUqaRTyB4YhmGY8mBhYYEZM2YUuvxzT6wAgNGjR+eb5+Li8s3ekv1UqW7RPnv2DAKBAHXq1MEvv/xS4OjPmpqaAHIyYKbs3s6Zy/1t/OdCVFq3FpXW/oU7mhYIjPz4WLIapprc342Fd9HhTKP8yR0AOA8ol+SOiND5SOd88zWUNQpY+8fQ2qo1b+iXhIwEDLn8P6x3aAGVLqNh6fkOKtqZ+bZr+PQqnnT9FWcusN62DMMwzJdVqgQvLS2nvZGBQeEJQnx8fM4OhGyovfImUFaGtHFjSJs0wdarr3jL9v5eD73rmQMA2ghvQEFeyBhBigUP5lhS79PeIzQxlDevuk71Uj9X9ntho2WDPW33oLFpYwAAgbD6/hqMpEik9dkCC4/3MHKJg7FrLIzrxUEgyhlbqXJcONRHDsDm5buRLSt4vCWGYRiGKatSZV/a2togIgQHBxe4PCkpCXfu5DzjVEeH3Y4qb/vICN3WXcOZwLdITM/i5ptpS6CsIMKcDtVx6ndHdFW4lH9jdRPAvAFgXKtcYjn8gt+ur75xfWzy3FQuZX/rpEpSrGiyAiNrjoTgw1iEFyMu4pfgjXj620FoerWEtLIAYossWDR/D0W1nB7N6lmpqLd+LjYMnIZ3iWlF7YJhGIZhSqVUCZ6TkxMA4Pnz51i8eDGysz8OxfH27Vv07dsXycnJEAgE32zvku/Oh5pQRXt7LLj8GjdDYzFw+y08fvPx9uyGPrW5v6vGX8xfRpulwJjHQN9jgKjo5pfP4p5h9d3VBT5XNpec5FhxZwVv3jqPdVBV/PYeuvylCAVCDHQciHUe66CprAkACE8KR68rE3G0VmcIp0VBadg1KFepDMsW76BmnNMhRghCk6sHcbVjV9wJDKvAI2AYhmF+RKVK8Dp06MD9PWnSJBw5coSbNjEx4XW46NixY6mDY/L48PgUIv5AxqmZMu5vC508idXbx8jbLSNm7KOcdncCQaGPHJPJc8rKlmej54meWP9gPTod6YSDzw5y67yMf4nBZwZjccBiNNjDf7jymmZrfvhbs4Wpb1Ife9vuRTWdagCAdFk6plyZgmb7mmFC4Ebc7+gDUY32qNQwFnoOicCHd8fm9QvIenfAP3vOFdFTmmEYhmFKplQJXt++fWFtbc1NExH3w577HDeBQABra2v07NmzHML8ucnTPw6DIsvM33g/H1k2VgTvgruZCVZramBR9SZofLA1+p3qh3epOUOoBMUEISEjgdvk2ptraLi3IbxPeqPtwbZIy/5463D61emYdW0WMmWZ2B64Hf5v/LE9cDuSMpN4u3Ux/D56Fn0pxmrG2NZqGzpbf+x0Ep0WjVOhp9D77O/YWd0DaDEHutXTYOoeC5FSTkKtlpIGuzkjsHHyMqRlykDZ2YXtgmEYhmGKRUClrDYICgpCixYt8Pr163y1NkQEQ0NDnD17Fvb29uUS6LcgIiICpqamCA8PR6VKlcqt3OTUdMQnpUBbQw0SlfyPXUkPCkJIx4/j1LXqkPP8WG1VJYiEArxLyoCJphiX/9cEQqEAlBSNWgeaIruA2jRdsS5cjVxx9OVRSBQkmOM2BwFRAdgTvOezcVbTqYbHMQUP2jvEaQiG1hha3EP+4R14egAzr83MN99UaoqaYmN0CDqHGpEJiPDXQnqsEn8loRAZTVpA+r/JqGyu/3UCZhiG+YZ9qd/fH1mpu7ja2dnh4cOHmDp1Kuzt7SEWiyEWi2Fvb4/Jkyfj0aNHP1RyV6Hy5ODXDT+e01pmWjg5qiHmdKiO3b+YQRiwEYgNQXZ2aoHJHZDT6/Xoy5xxDFOzUzHu4rgikzuhQAhlUU7SWVhyp6WshV72nx9T6GfS2aYz9rTZAwMJv6d5eFI4jkTfwG86atjSpDNM5/4O9Sqf9HSWy6F87hSedemGrXsuslu3DMMwTImVaVh9TU1NzJkzB3PmzCmveJgC5P2Bfy/+OL6cVEUBumrK6F3XDNjeDgi5BJxRQba5W7nsV6ooxcXuF/E8/jnG+I3B6+TXvOW97HohMTMR/3P+H9SVyv/ZgN+7arrVcKrzKbxNfYsnMU8w1X8qUrI+Pi5u9bvreFhJGfM3HIDS7L6IuZQBkn9MzM2T3kJv7igsfjgYg//oD3WVnEe/xR84gMRT/0G7V0+oubt/9eNiGIZhvn2lqsGzsrKClZUVHB0dkZWV9fkNmDKRxcRwf9OH4TjsjNTRx9UcuLgYWFw5J7kDcFRFCPfsj8PXVJELuWeo9rTrif7V+xe5rw5VOuCPen+glUUrbGu1DYoiRdjp2GFv272obfCxl+5Ah4GY6DIR8xrM+6EHNS4rBaECTNRM0My8Gf5u8zesNKx4yy9GXMQv16cidtY2mAyoBkVVfvs7SXYGvA6swJY+4/EkIg6UlYXIqdOQcvkywn8fjGgfH5BMBoZhGIbJq1Q1eJGRkcjMzESTJk2gqPhjPFD+WxazeQv3t6I8JwE4MbJBTtvHXauAPJ0ldqirIy3P4NIG6mZY23Ir3qe9h55EDwDgoOeAzQ83w8XQBY1NG2PCpQl4n/YePo194G6aUyPUzbYbLwYNZQ1s8dyCf57+g5CEEPS0Y51nSspSwxL/tvsXrxJf4U3KG0y6PAkJGQk5w6qcGYgZ7WegVa1nSP9nIVTUMxB1SxOJYWIAgOeD03jw60uEDxyIvK1PYtatR/rDRzBeshgKWloVc2AMwzDMN6dUCZ65uTn3uDLmyxNpf/zhTlKSQCQU5Jx7uYyX3EUoiBCkzG+wryJSgUAg4JI7AGhm1gzNzJpx0/91/g9JmUmfrYkTCoT5Ej+mZERCEaw0rWClaYW9bfdizIUxCIoNQrosHZOvTMbDqj0wfuxeCA8MgLHrO4h1MvH2njpAAji8ew7Mn5ivzBR/f4R27gKTFSsgdqheAUfFMAzDfGtKdYu2c+fOICLcuXMHiYmJn9+AKROB4OPbdNK8HkS5ifV5ftvHPepS3rQCAS3tfvls+UKBkN1mrQAmaibY3mo7OlTpwM3b/WQ3fnuyGW967UO8aR1o26bAvEkMRCr5b8OKrG0g+vCkmKw3b/CqRw/E7d//tcJnGIZhvmGlSvCmTJkCBwcHxMfHo3v37ggPDy/vuH5OBXSWlCWnIPHEiY/TAiFEwg8JXsQtbn6Sljm2aXzs6KAiUsGVntfR0vbjmGzMt0dFQQWz68/GDNcZUBTmNHe49+4eWp72RiPFaCyybwRF/UxYer6DWJff23a0/S+IX74J4po1AQCUlYWoP6bjzbRpkGcU8gxihmEY5qdQqlu0Xl5eEIlEICKcPn0alStXhoWFBYyNjSEU8nNGgUCAc+fOlUuwP7LCBsJ4O38+f4YAOQne3V1A6GVu9hG7pkDkx/O82H3xT/XIsO+ZQCBAF5suqKpdFWP8xiAqJYpbtiMtFIHVG2DJ0zvw75CBl0EqqPGScKChALXU1qPfoVEYO2gG2vjvR9zOXQCAhH8OICPoCUxWrIBSJZOKOiyGYRjmE1lZWUhNTQUAKCkpQSwW85anpaUh88MDDSQSSZn6OZRqoGOhUMi1v8u7eUEDHgsEAsh+kF5+X2yg47R0xCWmQEddDRIxf6DjkE6dkR4YyE33bjENmdq6eKAzBYh5DgA4JxFjtIEeb7sL3S5AV6xbbjEyX0dseixGnB+BB+8eFGv9ponA3cjhcKjujBkqYYidPQv04cknIg0NGC9ZArWGDT5TCsMwzLftRxno+Pz587hy5QoAoGvXrrCzs+MtDw4Oxt69ewEADRo0QNOmTUu9r1IPdJxLIBBwL6b8UZ5haJ5qVsJ7sQYS07OB+I+3xVdra/O2aWbWjCV33yltFW1sb7kdU+tORS39WhAriItc/7w6oG+xHAlP9qJHqBZEa7dA0dwMACBLSED4oEF499dfoA+PEGQYhmEqTmhoKIgIEokEVatWzbfc1tYWqqqqICKEhoaWaV+lTvCI6LMvpmQKOmMCpY+9Ysc0GgEIBNBEPN4jJ/F7LxTiuaKIt81Ax4FfMkzmCxMJRfil6i/Y1mobTnY6CUddxyLXD1ZWxCuLo6iV7oPOp6LwYvZqqOX+r48I71euQsSQoZAlJBRZDsMwDPNlxcXFQSAQwMjIqNCKMUNDQ27dsihVG7yQkJAy7ZQpvrwPnpcLRQAIOpU3oIlSJbRJTsGn9TKeFp6w07YD82PQEetgW6tt2BG4A4eeH0KjSo0wyHEQpEpSBEfdwZjTAxFOmYgXiXDK+Bnaxk7H/w6OxS9thqK/oyNiVq4E5HIkX7yIkC5dUWnVSqgU8L9GhmEY5stLS0sDgCIrwXKX5a5bWqUeB4/5OjKCg3nTAlEyopViAQDH1fidKEzUTLDEfclXi435OhSECuhXvR/6Ve/Hm29rWAt7up/HlCM9cDE1DCQQ4KhOOuqpzMblq/3xwLwBlq5cg+RpkyGLj0dWeDhCu/8Cw1kzodmhQ8UcDMMwzE9MUVER6enpiI6O5vop5CWXyxEdHQ0AUFAo09Nky94GjyknhSTzgk962LQQ3iy0iNG1R5djQMz3QF1ZAyu7HMVw87YQfPhf33VVBcByMzQit6LjzXSkrN4Cleo5AyBTRgYiJ01G5KxZkH/oqcUwDMN8HerqOcOZJScn4/Lly/mWX758GUlJSRAIBNDQKNv4tGVK8OLi4jB16lQ4OjpCKpVCKpXC0dERU6dORUye56cypUd5qmhtBWHwVLhR6LpNTUvf24b5fgkFQvzeeAH+qj8P6pTzv8FwRQX4W/gj1WQCel9ZjksjZkKzW1dum/i/9+BV797IiooqrFiGYRimnJmZmXF/+/n5Yfv27bh48SIuXrzI/V3QuqVR6gTvwYMHqF69OhYuXIhHjx4hJSUFKSkpePToERYuXAgHBwfcv3+/TMExgFCa83SKLAN9/Kc8CcbKz7hlKnI5PE0aAQDcK7lDSaRUYBnMz6GBTXvs7XAIdiL+E00EWtewLHAsZlZtjMDeIyFXyBlXKf3+A4R06oyU69crIlyGYZifTq1atbi/c3vK5iZ4uT1sc9X8MIh9aZUqwUtJSUGHDh0QGRnJ3UPO+yIiREVFoWPHjkhJSSlTgD+DIgeY+TC8hYhybqflfcMa6jphicca+HXzw6qmq75YfMz3o5KmFbb/ch5eWvxn0solb3AzbSL+l52NkQ2GIUaa84gzWWwswn7rj5hNm1jPd4ZhmC/MyMgIzs7OvPZ3eUceyZ1Xu3ZtGBsbl2lfpUrwNm/ejNDQ0HzBfTo8yqtXr7B58+YyBfizyz2fuWc175DRFlrWAHJ6WrJxCJlcKgoqmOe1G0sdR6J2NiD8cA1lK6RD1XwDwq1eYnDDkbhv9KG3tVyO6CVL8XrkSMiSkyswcoZhmB9fq1atULduXa5CLFfu3y4uLmjdunWZ91OqBO/w4cPc33Xq1MHx48cRERGBiIgIHD9+HC4uLtzyQ4cOlTnIn9qHN1yS8Q4AIM+TyIlU9QrchGEEAgFa1ByIrT0u4YKCDeqm5TzdggSAssEJCCz+xeS6PbCranPQhzrkpDNnEdqlKzKePSuqaIZhGKYMBAIBWrZsiWHDhqFFixZwdnaGs7MzWrRogeHDh6NVq1blUmlTqgTv0aNHAAAdHR2cOXMGrVq1grGxMYyNjdGqVSucOnUKurq6ICI8fvy41MEFBASgdevW0NTUhKqqKurVq4d9+/aVuJzo6GiMGTMG1tbWUFFRgY6ODlxdXbF27dpSx/bV5D6B4MN7nbcGTygU5VudYXjEWtDu8Q/W2/6G/vGJH+drPIam1UrscqyFGfV+Q5JiTm/tzNBQhHTrjoTjxysoYIZhmJ+DtrY2XF1d0bp1a7Ru3Rqurq7Q/uTJVGVRqgQvPj4eAoEAtWrVKrAbr6amJteQMD4+vlSBXbhwAW5ubrhy5Qq6deuGwYMHIyoqCt27d8fSpUuLXc69e/dQvXp1rF69GtWqVcOYMWPQo0cPqKqq4ujRo6WK7aviErycmjx5nhZ7IgFL8JhiEAohajIZo1tvgk9sKlQ/XFPZynHQsFiBu9YyjGw8Gi80ctp7UFoa3owbj7cLFvAelccwDMN8P0o1ip5YLEZSUhIiIiIKXSd3mVhc9LM0C5KdnY2BAwdCKBTi0qVLqFGjBgBg+vTpcHFxwZQpU9ClS5fPDricmJiI9u3bAwBu374NR0f+I5+y8zwl4luV+wObm9a9xsfsXihgwxgyJWDdHM36nkPlfT0wWhiDF0pKkImyIa60E/EqjTBOeQiG3T+M5uG3AACx27Yj7dFjmCxfBkV9/QoOnmEY5vuTO+yJnp4e7O3tecOgFIe7u3up912qBM/CwgIPHjxAUFAQFi1ahAkTJvA6XCxduhSBgYEQCASleurF+fPn8eLFC/Tr149L7gBAQ0MDU6ZMQd++fbFt2zZMnz69yHL++usvhIWFYfPmzfmSO6Dso0SXP34vxoQjR7i/5bKc86ulqQEgpyE8q8FjSkzLAha/ncPuY6Mx480ZnPrwNBRF3Uuws4jFPv1fEHTbHEMeHIIiyZB2+zZCOnVGJZ/lkNSpU8HBMwzDfF/8/PwgEAhgZ2cHe3t7brq4vnqC17hxYzx48AAAMHnyZKxevRp2dnYQCAQIDAzE69eveeuWlJ+fHwCgRYsW+ZZ5enoCQLGy4L1790IgEKBz584IDg7G6dOnkZaWhqpVq6Jly5ZQUvpWxo0TAKB8D7NIufZxfDJ5Vk5t3RGpBMjKSfBYDR5TKopiSDqsw6JbvnD0n4WlmlLIBAIEJT+CgelSxOoPwwQNY0wN2A69tATI3r/HK+++MPjfBGj16cN6bDMM88179eoVrl69ijdv3iA5ORndu3dH1Q/P4ZbJZDh//jyeP3+OuLg4KCsrw8rKCh4eHpBKpYWW6efnly/30NHRwfDhw8s9/oIeY1ZSpUrwhgwZgr/++gsymQxEhIiICC6py9vlVyQSYciQISUu/9mHXnzW1tb5lhkaGkJNTY1bpzCZmZl4+PAh9PT0sGrVKsyYMQPy3PZsAKysrHDo0CE4ODiUOL6vRv6xS4VWlRTckFeFf1Y0N4/V4DGlJhBA4Pwbehs5wf7fPhinKkeMgghvM+MQK5yPem0GYoTaaEy6uQs13j8HZDK8XbAQaffvw2jOHAhVVT+/D4ZhmAqSmZkJAwMD1KhRI1/nzKysLERFRaFRo0YwMDBAeno6Tp06hb///huDBg0qslw9PT306dOHmxYKP1/R8ukYo19rzNFSJXi2trZYsGAB79ZsrrzjusybN4/LmEsiISEBAAp9Dpu6ujq3TmFiY2Mhk8kQExOD2bNnY9GiRejduzeysrKwfv16zJ07F15eXnjy5AlUVFQKLCMjIwMZGRncdFJSUomPpUSKeM8lpmlYp8NP6JwNnb9sPMyPr1Jt1O5/Efv+6YPx6c9wV0UFWSTH5fj1aFNVhL/VhyD49gN0f3YeAJB44iTSnz5FpZWroGxlWcHBMwzDFMza2rrASiIAUFFRQe/evXnzWrVqhU2bNiEhIaHIZ8AKhUKoqakVO47cfgCampq86a+h1I3Qxo0bBwMDA0yaNAlv3rzhLTMyMsL8+fPh7e1d5gBLK7e2TiaTYfjw4Rg3bhy3bPbs2QgODsa+ffvwzz//oFevXgWWsWDBAsyaNeuLx1pYJWxm+MdOLA9VlHBLk59g2mrbfsGomJ+Gqi70ex3B5vOzsTRoO3Zp5NyiOK4sg53xMmRo/ILZWn0x7s4eqGanI/P5C4R07QrjBfOhXkAzCoZhmC8lKSkJiYkfh3xSVlaGsrJymcvNrcwprMInV2xsLJYuXQoFBQWYmpqiWbNmRSaEefsRFDT9JZWpEVevXr0QHh6OmzdvYt++fdi7dy9u3ryJ8PDwMiV3uSersFq6xMTEIk9o3jIAoF27dvmW5867detWoWVMnjwZCQkJ3CswMPCzsZeXrOhopN25w00nifi1dyZqJl8tFuYnIFKAYvPZmNR8FRZGv4f4w3+QgpSVcFljPxrWv4fRjUcgVGoAAKCUFLweOQq3p85BRnpmRUbOMMxPxN7eHhoaGtxrwYIFZS4zOzsbZ8+ehYODQ5HJoomJCdq3b49evXqhTZs2iIuLg6+vL+9O3+ccPnwYhw8fxpEjRyCTyT6/QRmUuRupQCBAnTp1UKcce9jlVqs+e/YMtWvX5i2LiopCcnIy72kZBVFVVYWJiQlev37NVY3mlTsvLS2t0DI+/Z9B3v81fGnpnySTMhH//m0n605fLRbmJ2LnhTZ6l2F9YQbGJNxGmKIiEkQirFN5CG+HV5inNhg9bp1Ck4i7AADJgd24duECKrnUhF6TRlBv1451wmAY5osJDAyEicnHCo6y1t7JZDLs378fRIQ2bdoUuW7eW74GBgaoVKkSfHx88PjxY27s38958OABiAgmJiYQib5sO/pS1eClpqYiLCwMYWFhiIuLy7c8NjaWW56amlri8nO7BZ8+fTrfsv/++4+3TlGaNm0KAAXWvOXOs7CwKHF8X8UnjTAfaSlyf4+pPQaDHItuCMowpaZbBTZdd+Hv3jfQWDVnmCMSCLBVJQmOVn/iZlMXrHVoj+wPvbgNYiORdeoE3kychIhhwyFLTqnI6BmG+YFJpVKoq6tzr7IkeDKZDP/88w8SEhLQu3fvEpeV+2Ss2NjYYm+j+qGDWmnGCC6pUiV48+fPh6WlJSwtLbkhTfK6cuUKt7w01afNmjWDlZUVdu/ejXv37nHzExISMH/+fCgpKfF6sURGRuLJkyf5bukOHjwYALBw4ULeEzWioqKwYsUKCIVCdO7cucTxfRV58js9h0SkZX4caDY6NbqADRimfKkra2BF5yMYadEegg//4bisLMRtk8142PIyJjdrjxgVdd42yefPI7RbN2S8fFkRITMMwxRLbnIXExOD3r17QyKRlLiMzMxMxMbGFjm0yqesrKxARIiO/vK/46VK8C5cuAAigq6uLjp06JBvebt27WBgYAAiwvnz50tcvoKCAjZt2gS5XI5GjRph0KBBGDduHJycnPD06VPMnz+fV/M2efJk2NnZ4eDBg7xy6tevj7Fjx+Lx48dwdHTEsGHDMGjQIDg5OeH169eYO3cubGxsShzfl5b1+jXeTJzImxdAH6uGHXS/4aFdmB+KUCDEQPe5WOe2AJr08evivUIiXjkfxcleegg3NOVtk/nyJUK6dEXif/lr4BmGYb6GzMxMREVFISoqCgAQFxeHqKgoJCQkcLdl37x5g06dOoGIkJycjOTkZF67uO3bt+PmzZvc9OnTpxEaGor4+HiEh4dj7969EAqFqF69erHjaty4MZSVlZGYmIhz58590SFTStUG7+XLl9yzaAtrb+Pk5ISoqCiEhISUKrAmTZrgypUrmDFjBvbu3YusrCw4ODjgzz//RPfu3YtdztKlS+Hg4IA1a9Zg69atEAgEqFmzJtatW4eOHTuWKrZy98kpjNm6DfJPhmSR5xnUWCRk498xX1d9ay/s1XPE6OM9EJT9sS3qEb1XSOuSiuFPU6BP2Qi6aQa1hDRQaipejxqFtN9+g/7YMRB8c0+NYRjmR/bmzRts27aNm85t8uXk5ITGjRsjODgYALB+/Xredt7e3lwFUmxsLK+ZWWJiIg4cOIC0tDRIJBKYmZmhf//+3G3X4rh//z4sLCwQHBwMf39/PHnyBGZmZpBKpQXmU2V5koWASpE+KisrIzs7Gx4eHlybuE95enrizJkzUFJSQnp6eqkD/JZERETA1NQU4eHhqFSpUrmVm5qegZj4JGipq0FNooLXY8ci8cRJbrl+jQQ0qd0dpH8WALC88XJ4mHuU2/4ZprgyZBnw+W8Ydr67UeDyna+iIL9iDJWwjz1rJS4uMFm2FAq6ul8rTIZhfjBf6vf3a5s1axbv0a4AiuyY9rlHshalVLdoJRIJiAiPHj3iPR0il0wmw6NHjwB8fkwZpgCfPIIs1FzEJXcAe0QZU3GURcqY2HoTHrbci9XxGZDK+J//XuaG6NNDhsducsg+XKepN2/iZafOSL17tyJCZhiG+SYJBIJCk7vyuHVbqkzB1DSnzU1UVFSBnSjmz5+PyMhICAQCmJmZlS3CnwwR8XrQVm7zFtvM+c/MVRCy211MBTOwh/vIYOz12osqKnr8ZQIBZjVSwsEumUhRyemVJouOxqvefRC7c9dXe0wPwzDMt4iIPvsqD6XKFBo0aMDV0E2fPh3nz5/n7hNfvHiR17O2QYMGZY/yJyFPTUVIrx7ICAz6OFMAvFXgt7kTK3z57tUM81kCAUz1quPvzidwMeIijr88jgvhF7jF+6qo4FG/dIw8oALt6AwgOxtv587NeZ7trJkQlqLXGsMwzPfsaz6qrFRt8O7evYvatWtzz539tIox733lmzdv5hus+Hv1pdvgKQU+QuzQIbxlVm3foo7Dx0Ed6xrVxVqPtVAUKn5aDMNUuKuvr2LNvdV48P4hN081W4bZJwUwffTxdq6yjQ0qrVoJJXPzigiTYZjvzI/SBu9rKtUt2po1a2LYsGG85C5vtWLuvMGDB/8wyd3XQFlZ+eY9V+FXsm5ovoEld8w3q75JfexqsxsnO52EndgQAJCiIMI4LyH8PWXI+NCbNuPpU7zs0hVJpRhGiWEY5nv16tUrvHr1Cu/evfvi+yp1a/2VK1di1KhREAqFvPvFuUnfiBEjsGrVqnIJ8melZpyO91J+7ajg0zFVGOYbVElaCds7HUUHk49d/FfUUsbWnhlIUM/peEVJSYgYOgzRPj6gL/xMRoZhmG/B1q1bsW3btgIfEpHr8OHDWLx4MZYsWVKmfZW6tb5AIMDy5csxfPhwHD58GC8/jFxvZWWFdu3aoUqVKmUK7GdDAK9zhUHNBGjbpuAFPra362LThT3nk/luqCioYHazVXB8vAMLbi9BFgjnjJXxpF86phxSgt6rnKFUYtatR/qDhzBeugQKWloVHDXDMEzFyszMRGpqapl/78vcHbNy5coYO3ZsWYthAFDe55MJCUlQxSEVYwAZAAATNZOCN2SYb5RAIEDX6n1QVd8JY04PwltZKl5LFDDyl2zM9AOq3BRARISUq1f/395dhzd1tn8A/55Y3VsopaWlOMWHM3w4QwbDho4ZjBn7bcAEmLzwMmU+JsjGywbD2XBGcZcNp0ihxaGaWprk+f2RJk3qTVLSpt/PdfUiOec559w9Cc2dR3H1iSEI/fILuDXmSi1EVHllF9BdyxqcUK0cEdrcZioJwOmwpxDQMnfVjhvqGw6Iish2jas0xYqhm9DGx7Dknk4mw7vdFNg0OBtpOQt8a2/dQuyop5C4YgWnUiEip2Hsd3ft2jXTtvT0dIvtxp9Tp07h+vXrAIqeALkk7DKh2unTp/H111/j3LlzUCqViIqKwoQJE9CsWTN7nN7pGfvVJW9Yb7HdPyMWgZ6RpuePhnDKGaq4/F398f2AFfj6wH/w86WVAIBf6rniVFAGXljlDr/7mUB2Nm7PnIWMf/5B8LvvQsaJ0omogjMuk2okhMC1a9csllIriJubbVOilagG7++//0bPnj3Rs2dPvPPOOxb7tm3bhlatWuHHH3/E3r17sXPnTnz99ddo2bIlvvvuO5uCq2xU1c2GfsuAeN+WiEuJy90vVxVwFFHFoZAp8GqHWZjf8SN4wDC/4wl/Fd4cn4UbDXLne0xetRqxo56CJp611kTkHPIOSC1qkmNJkmyeDqZECV50dDS2b9+OHTt2WAyeyM7OxrPPPousrKx8TSp6vR6vvvoqzp49a1OAlYo8t0LVo2oW7msUOJ9w3rQtU+cca/oSdY/sg98GrUEtlwAAQLJSjtcGSfhigAwaheGbbtbZs7g6ZAjUe/Y4MlQiIpuVptuJEAIqlQpdunSx6ZolaqI9dcowaakkSejfv79p+6ZNm3D9+vV8C+caabVa/PDDD5g/f75NQVYauizTQ0kSqFpNhrvJd03bwrzCHBEVUZmo6VMTy4ZsxMwdL2HLncMAgH1RMlwPEnhnpRZ+yRL0ycmIe+55BL40BYEvvABJxm7DRFSxNG3a1JQnnTx5EpIkwcfHBxEREfnKKhQKBAYGIioqCp6enjZdt0QJ3qVLlwAYpkAJDAw0bd+0aZNFuc6dO2Pq1KlYuXIlfv31VwDA7t27bQqwUslMyX0okzDt3lKkC41pm4vcxRFREZUZd6U7Pu71Exqf/B6f/PstACCuioRXn1bg/zbo0PgSACFw/8uvkPnPvwj5aB7kPj6ODZqIqBQGDRpkenzy5EkAQEhISJkvW1air8MJCQmQJAm1atWy2H7gwAHTcmUAsHDhQjz++ONYtGgRgoODIYRAbGys3YN2Oqa+l7lLOd2Ryy2SO0MxzoFHzkeSJIxrPgl/9PsdPd1CoRACGa4SPhwqx/JOEoRk+Pui3rULV4c+icxz54o5IxFR+dS0aVM0bdq0wNo7eytxggcArmYj2jQajUX/ugYNGqBmzZqGk8pkaNq0KQBArVbbLVinZ9bCvVDeymKXm8INQe5BDzkgooenfmAUPh22CZvb/RdNXYIgJAmrOsjx4XA5Ml0N/zmy4+JwadgIHP/xfw6Oloio9AYNGoSBAweiVavcz3ghhN3mvjNXoiZaY9vx3bu5/cGOHDkCrVYLSZIgSRI6dOhgeeKcNSeN/1LxktI1cM95vLfqdZhV7eGHHj/AQ+nhkLiIHqaq9fpjUe1e+OjIR/j9wu84VVOG156W8PoaHWrfAuTZGrh9+iH+OnAEPb75L1RunEqFiCoWtVqNPXv24OLFi0hJSYEQAjNnzsTRo0eRlpYGmUyGjh072nSNEtXgVa1aFUIIHD161NTkauxjZ2yezZvg3b59GwDg7+9vU4CVhgBUmQ8K3DWkzhA0q9Ls4cZD5EBKuRJvt30bcx6dA1e5Kx74SJg5Wo5tzXO/9ETu34LdfYbg7qVrRZyJiKh8iY+Px3fffYcjR44gKSkJen1u96zU1FRER0dj586dNndxK1GC17p1awCGUbHNmzdH8+bN8eOPP5pq9iRJQvfu3U3lNRoNTp06BUmSEB4eblOAlYlWUpoeC7Pudt1qdHNANESO93itx7G071L4uvhCq5DwY285vukngyanYaD67SuIHTIU/6zb5thAiYhKICMjA8uXL0d6ejqA/KtVNGzY0PQ4JibGpmuVKMEbP3686XFycjL++ecfi8n4evbsierVc9dJ3bp1KzQawwABY188Kgmzma5z/h1cezA6hXZyTDhE5UA9/3rYOnQrPu70MZr61sWuJjK8M0aOO76G/V5ZasinvYJt735s8U2YiKi8OXz4MNRqtWmAat7p5apWrQp3d0Nnrfj4eJuuVaIEr0+fPhg9ejSEEKY+d8bgPD098dlnn1mUX7Rokelx3qZbKorZC52T67kpbFuqhMgZuCnc0Ltmbyx+fDkm1B+F2GAJ08fLcTzS8B9FDoHQPxZiy5BxSE9IcmywRESFuHjxounxkCFDUL9+/XxlgoKCIIQwDXC1VolnDV28eDHmz5+Pxo0bw8XFBV5eXujXrx/27t1rEeCtW7dw5swZ1KpVC7Vq1ULv3r1tCrCyS8xKdHQIROWGQqbA1DYz8FmnTyHclZg3TIYVj8pMEwxFnDuKk336IfbIvw6Nk4ioIA8ePIAkSQgJCUGjRo0gK2DyduOMJRkZGTZdq8RDXGUyGV5++WW8/PLLRZarVq0azp8/X2QZKpik0ZkeG+vy+kf2L7gwUSXWo2ZP1PKvjec2jsPKjkm4FAK8vF4Pz0zALzkBKeNH4cArb6Hdc6McHSoRkYlWqwUAeHgUPitGZqZhWdK8/fNKi+v+lCPyhNylyoyDLGQSXyKigkT6RGLd0M0YW2swTtaSYdoEOa5UNexT6nTw/ewDbH7+/6DN0hR9IiKih8TNzQ1CCDx4UPCsGVlZWbh16xYAmPriWYvZQzkiXOSmx+k5q5LJ+BIRFcpD6YE3Hn0fJ586hkFN++HdMXLsbJz7rTd811/Y3WcQHly74cAoiYgMqlY1fAtNSEjAvn37LAaGqdVqrFu3DhqNBpIkITg42KZrMXsoRyRd7iALnTx3ChoiKppcocLLXebhkx5f4tfHXbGgtwzZOd+Xqt28iqsDH8fpTdEOjZGIyHzMwo4dO3DhwgXT888++8yii1tBAzBKgwleOSIUhmQuwzM3o5dL8sKKE1Ee3cK74beBq3Ht0TDMHC3HfW/Ddo/MDEhTJ2HH+5/nm5aAiOhhadasGQICAkzPjbOTGB8Dhoodf39/NG7c2KZrMcErRxTCsBad+ccPa/CISifCJwL/G7gaddt0x7QJcvwbYfg/JBNAyLIfsPnJMUhPTnVwlERUGSkUCgwfPhxeXl4WyR0A0/RzHh4eGD58uM1LvTLBK0f0OS9HWgHDpomo5NyV7pjXdT4md3oT/xkuw+r2uX9EI04fw7HevXDtxBkHRkhElVVQUBAmTZqEjh07IigoCAqFAgqFAkFBQXj00UcxefJkBAUF2Xwd29JDKhMuZk1IAa4BRZQkosJIkoTRUWMRFdQYY2VjcamaHlP+1MM9CwhMTETimOG4/X+z0Gb8k44OlYjs7Nq1a9i/fz9u3rwJtVqN4cOHW/RpE0IgOjoax48fR2ZmJsLCwtCvXz+L5tOCHD58GPv374darUZwcDD69OljsZJXSbm6uqJbt27o1q3sliJlVVE5IpC/OdbbxdsBkRA5j+ZVmuPUuFN455mv8OUYBa7nfDF20erg/d+Z2DxlOnSabMcGSUR2pdFoULVqVfTt27fA/fv27cOhQ4fQr18/PPPMM1CpVFi6dKlpnrqCnD59Glu3bkXnzp3x/PPPo2rVqli6dCnS0tLK6tewiVUJ3vXr13H9+vVC53Gh0snpXgmR0xafKWO/OyJ7q1WzG755YTu2jPfHnoZmU6lsX4e/+w1CQvxtB0ZHRPZUp04ddOvWDQ0aNMi3TwiBQ4cOoVOnTqhfvz6qVq2KQYMGITU1tciFGg4ePIgWLVqgefPmCAoKQv/+/aFUKnHixAmrYkxJSUF8fDyuXbtW6I8trGqijYiIgCRJGDJkCFasWFFgmenTp+Pvv/+GJEk4dOiQTUE6PclyShRhlt9JBdTqEZF1PD2r4tMJe/BzlWexaOsBjNkhoNADoXFXEDOgL7w/+goNHuP62UTOLCkpCWq1GpGRkaZtrq6uCA0NRVxcHBo1apTvGJ1Oh5s3b+LRRx81bZMkCZGRkYiPjy/V9S9cuIDt27eXqJJs5syZpTq3uTLrg3f58mUcPXqUo0BLQELOyNkC7pWvi+9DjobIuUkyGZ55/GccDP0Zn1T5DM+t08NfDXinZ0D38rM40vgR1Bs3El49e0KycRQbEdlXamoqUlJSTM9dXFzg4uJSqnOo1WoA+ZcL8/DwKLS5NT093TTCNe8x9+/fL/G1L1++jOXLlwNAsVM2ldulyrKysoovRAUyvuQtqrSAXMZ58IjKQtvmEzHv2WVYOM4FZ2oYtsn1Ap7/HMWNqa8jdvzT0LIbClG50rBhQ/j4+Jh+5s6d6+iQSmXPnj0W892VpRJ/Pb1+/Xq+benp6QVuv3HjhqlZljV4pZAnmQ9yt32YNBEVLji4Kb57bi/mBjyJy1uuYcCh3P+EmUeP4Ozjg+Hz0ScIf7S1A6MkIqOzZ89ajFotbe0dAHh6egIA0tLS4OXlZdqelpZmWkosL3d3d0iSlK+GLy0tzXS+krh165ZpvjsvLy+EhoZa9TuURIkTPGO/OyMhBDZt2oSaNWsWeZyPj4/10VU2eQbvcMZ9orKncvHErFGbsKba2/ii2lq8sjZ3JRllwj2kPDsB28a9iMemTeIXViIH8/Lygre3bbNL+Pr6wtPTE1euXDGt95qVlYX4+Hi0bNmywGPkcjlCQkJw5coV03QrQghcuXIFrVuX/Aug8W+In58fJk2aBKVSadPvUpRSdzAxTzqKSkAkSYIkSXjkkUesi6yS0d67D+N4Wvec1u1Dtzk4hehhGdz1P6hXvR2m1poOTRow+S8dGsYBCqFH6OKv8Oc//6D7gk/h7l3yb+tE5BgajQYJCQmm54mJibh9+zbc3Nzg4+ODNm3aYM+ePQgICICvry927twJLy8vi7nyfvnlF9SvX9+UwLVt2xZr165FSEgIqlevjoMHDyI7OxvNmjUrcVwhISGIjY2Fn59fmSZ3QBkOshBCQKFQYMaMGWV1CaeiNeuk6Z1h+HdEvREOioaocmpYtz9+r9IEb64bhg9GqvHUTj36HzF8ka19YjcO9BmMOt9/jRqN6zk4UiIqys2bN7FkyRLT861btwIAmjZtikGDBqFDhw7Izs7Ghg0bkJmZiRo1amD06NEWy4MlJCQgPT3d9LxRo0ZIT09HdHS0aaLjp556qlRNtB06dEBsbCzi4+Nx7949u6xYURhJlLAdsEuXLqaqxV27dkGSJAQEBCAqKsryhJIENzc31K9fH+PGjUOTJk3sH7WDxMfHIywsDHFxcQgNDbXbebM02YjdcwCa77+F4tQ/2NFUwoK+ckxqOgmTm02223WIqGR02mx89+d4LEj+F+3O6THpLz1cc+ZC1islpL4xG23HDnNskESVSFl9/jrCwYMHsXXrViiVSkRFRaFKlSpwc3MrsGzTpk2tvk6Ja/Cio6NNj2U5a6V26dKl0HnwyHqnw3PmxeMceEQOIVcoMWXQ/9D4+k7MkL2BGUGZ+L9VOlRPAGTZAj5zZmH7kYPo+tlHkCs5lQoRlZxcLodcLodGo8HJkyeLLGtLgmfVNCmdOnVCp06d8tXekY3ydOAO9arY31KIKrrONbpi+cA18IwIx1vj5ThUL/f/aPVtm7C/f18k3i75HFhEVLmdO3cOGzduhE6ny13cQIgCf2xl1VdP89o8shfLF3NU/VHoHdHbQbEQkVGYdxh+HbgSH+x9F5+qNuPxQwJPReshE0DgtThc6/cYbn3yPRp2bevoUImonNu3b5/pcVnPlGFz20J8fDxu3LhR5MTGnTp1svUylYDZFDQSMKzeMCjlZTvChohKxk3hhv90/hhNgltinnwergRr8Oo6PXzSAZe0LIgXJ2DX+Eno/ObLjg6ViMqxu3fvmmruQkNDERoaCpVKVSZTMFmd4K1btw7Tpk1DTExMkeUkSYJWqy2yDAHphw9DYfYCs/8dUfkiSRJG1B+B+v718Xr065jmfwdT1+hQ9yYg6YEqC7/DjpOH0eHHH+HqUXCHaSKq3JRKJbRaLapUqYKnn366TOfWtKoP3ubNm/HEE08gJiam0LZje7YjVwoyGSA3LEumURiahYio/GlWpRmWP74ckXVaYfZTcmxpkfsHOuT4MfzTqztunLvswAiJqLyqWbMmhBBwdXUt84nTrUrw5syZ89DWUqs0JMmQ5AG4VANQytg8S1ReBboF4seeP2J00wn4uZccX/WXISunPcT7fiIShg/EoaWrkZSYUvSJiKhS6dKlC5RKJeLj4xEbG1um17KqifbEiROmxC4oKAht2rSBj48P5Dk1UFR6kosLhEyGW36AgrMuEJV7CpkCr7d8HY0DG+Ndxbt4p0oaXl+tQ3ASoNDo4P3h27j14dvY3Wc4+n78LhQK/n0kquzOnDmDGjVq4PLly/jll19Qs2ZNVKlSBa6urgWW79y5s9XXsimVCAwMxL///osqVarYchoykqyqUCUiB+oZ0RO1fWvjlZ2vYMb4q5jypx6PXMrtmlJn03Jsv/APWi78EYHBgQ6MlIgcLTo62rSUqxACV69exdWrVwstb0uCZ1VG0ahRIwBA8+bNmdzZS04TrQA4vIKogon0jcRv/X5D+/o98dFQGX7vZPmnNfzKeVx+vC/+3X3UQRESUXlTVBc3e4xfsCrBmzhxIoQQOH36dJHTo1DJCSl3kAUTPKKKx1PliU87f4rXWr6OtY8q8NqzcmxoLUGd0/LinZoK2aRx2PLZz44NlIgc6mENTrWqiXbixIlYuXIltm3bhiFDhuDzzz9HnTp17BJQpSXl/jDBI6qYJEnChEYTEBUQhYlbJ+LX7nJsfkTg9TU6RN4G5Do9avzwCdadPIae338GN/eC+90QkXMaOHDgQ7uWVQlerVq1kJmZCSEENm3ahE2bNsHT0xMBAQH5ykqShMuXOWVAcYRGA0CCqwZ5F7UgogqmdbXW2D9yPxaeXojl55fj3TEpeHqrHt3/Mfznrnt4Jw726YfIH35GeL0IxwZLRA9Ns2bNHtq1rGqijY2NxZ07d0ydBIUQSE1NRWxsbIE/1jpy5Aj69u0LX19feHh4oG3btlixYoXV50tMTET16tUhSRJ69y4/y4Dp09NhrLfzV7MGj8gZeKm88EqLV/DHgD9Qu0pDLOgrx/d9ZNDkDKYNvnMTCcMGYd/KLY4NlIicks3DNo2jQQr6scXOnTvRoUMH7N27F8OGDcMLL7yA27dvY/jw4fj000+tOueUKVOQnJxsU1xlQWRnGx5IEjRyJnhEzqS6Z3X80ucXDKo9CH83k2HmGDnueRv2uWZlwe/dV7F++hzodHrHBkpETsXqBK8sOwlqtVo8++yzkMlk2L17N3744Qd8+umn+Oeff1C3bl289dZbuHbtWqnOuWrVKixbtgzz5s2zOq6yI0xZ3amaEptoiZyMq8IV77d/H7PazUJcdRWmT5DjZE3Df3pJAHXW/ootg0Yg8V6SYwMlIqdhVYKn1+tL/KPT6Up9/r///huXL1/GqFGjLNqrfXx88NZbb0Gj0WDJkiUlPt+9e/cwadIkjBkzBv369St1PGXOmNDl5HZyGevwiJyNJEkYWncofunzCzyCqmHuMBlWtc/9v14z5hTO9e+DMwdOOi5IInIa5XJm3ejoaABAz5498+3r1asXAGDXrl0lPt8LL7wAuVyOL774wi7x2Z1ZbaeQABkbaYmcVqPARljefzlahbTB8s5yzBsqQ5qLYZ9fchL0zzyFbV8vdWyQRFTh2S3BE0IgPT3dLueKiYkBgAKnXgkODoanp6epTHGWLl2K1atX4/vvv4efn59d4rM3oTf2vZEgJCCd+R2RU/N39ccPPX7A1Eem4lgdGaaPlyM2Z854hU6P0K//g3UTX0FmRqZjAyWiCsumBO/27dt45ZVXEBkZCZVKBW9vQ8/hBQsW4P3338ecOXOsOq9xIISPj0+B+729vUs0WOLmzZt4+eWXMXLkSKvmnsnKykJKSorpJzU1tdTnKBEBGDvhCQD3uWQlkdOTy+SY0GgCjo0+hi5th+OdsXLsjsr9dld331bs6zsQN67EOTBKIqqorF6L9uDBgxgwYAAePHhgGlBhHDl748YNfPjhh5AkCe3bt0eXLl3sEmxpPfPMM1Aqlfjyyy+tOn7u3Ll477337BxVQXKaaCXDLMeSnWaxJqLyTyVX4Z1276JxUBN8oJyFi9WzMX67Hgo9EHLrOm4PGYD49z5FmwHdHB0qEVUgVtXgJSQk4IknnsD9+/cB5F9PbejQoabHGzduLPX5jTV3hdXSpaSkFFq7Z7RkyRJs2rQJ33zzDQIDrVvge8aMGUhOTjb9nD171qrzFEvkjqLVS0A7efWyuQ4RlVsDaw/E0sd/x5mO1TBrtBwPvAzb3TMy4TntRfz57ifQ6zmVChGVjFUJ3tdff43bt29bTHRsrkmTJqak6uDBg6U+v7HvXUH97G7fvg21Wl3s0mgnTpwAADz55JMWc/PVrFkTALBlyxZIklTkrNIuLi7w9vY2/Xh5eZX6dykJvU4HQAJyRs/qFB5lch0iKt/q+9fH8gGrENyqA6ZNkON0uOFvgkwAtf74GRuHjEFyYvmby5OICmZeSWTNjy2saqLdsGGD6fGyZcuwYsUKrF271qJMw4YNsXv3bly6dKnU5+/cuTPmzp2LrVu3YsSIERb7tmzZYipTlHbt2kGtVufbrlarsXz5coSGhqJXr16oUaNGqeOzN71AzhQphkEW7i5Wt5wTUQXn4+KDrx/7DguCvsd/3L7FiF16DDxo+BJd69xxnOrTF0FfL0C9lo0cHCkRFWf+/Pk2Lfwwc+ZMq4+1KpOIiYmBJElo2bIlRowYgVWrVuUr4+vrC8DQnFta3bt3R2RkJJYtW4aXX37ZVMuWnJyMOXPmQKVSYezYsabyt27dQnJyMqpVq2Zquh0+fDiGDx+e79yxsbFYvnw5oqKi8NNPP5U6trIg9Ll98ASA69n3HRoPETmWTJJhUrPJiApshOmqN3CpmhqT/tLDXQMEJCUga8Jw7JwyA12fH+3oUImoBKxZ/MHWFcGsaqLNyMgAAFStWrXQMklJSYYLyEp/CYVCgZ9++gl6vR6dOnXCc889h9dffx1NmzbFxYsXMWfOHERERJjKz5gxAw0aNMCaNWtKfa3yQOh1hgEWLi4QEtA1oImjQyKicqBTaCcsH7AS15oHY8Z4OeJyuhMrs/UI/vw/2DNhJDRZGscGSUSlVtQyr7YmdkZW1eD5+/vjzp07uHDhQoH7U1NTcfz4cQBAQECAVYF17doVe/fuxaxZs7B8+XJkZ2ejcePGmDdvXoE1cxWZEAKQyQAhIADUCu/i6JCIqJwI8wrDlie3YdPlv/CFz/sY/GcaOpwz1AYEHjiJWz3rw/M/HyHg0aHFnImIHrbw8PB8CVt2djZu3LgBwNDX3zhHb2JiIrKysiBJEoKDg+Hq6mrTta1K8Jo2bYqtW7fi0qVL+Pjjj6HVak377ty5g8mTJ0OtVhc7iKE4rVu3xqZNm4ott3jxYixevLhE54yIiLBpndyyYBGOBMjkKofFQkTlj0ySoV/tx9E+9FFM8xuPmB2XMOZvPeQCSL/jgqyX30Lq03sQMflzw5dFIioXxo8fb/Fcr9fjl19+gSRJ6NChAzp37gyFwpCKabVa7N69G3v27IFMJsNTTz1l07Wt+kswaNAg0+Pp06dj/fr1pufVq1e3GHAxePBgq4OrLITImfpAkqCXrGvWJiLn5+fqh+8GrUb1ic/jvafkSMwZcK9LlyPj2y24NLkr9Oml7/dMRA/HgQMHcO3aNQQGBqJ79+6m5A4wdE/r1q0bgoKCcOvWLezbt8+ma1mVSYwfP95imhIhhKkK0jhPkyRJqFOnjs0ZaGWgzxlGK+SGJSxk5XOJYCIqB+QyOV5u8TImj/0K7z3riXOhOTv0ErKj7yL2yQ5QXzrq0BiJqGD//PMPJEkyrfxVEG9vbwghcPr0aZuuZVUTraurK9auXYuePXvixo0bFu3LxrnxgoODsXr1ari4uNgUYGUgjE3cSiWEBMglrlVGREXrWqMrIketxNQqr6Ddmovod8TQ1yPrMnB79Ei4T38JIYNednCURI4xf/78AueRa9myJfr165dv+8mTJ7Fu3TqLbXK5HO+8845d40pMTARgWEo1LS0NHh6W896mpaWZ+ucZB6tay+oJ1xo0aIBTp07h008/xdq1a3H16lUAQM2aNTFgwAC8/vrr8Pf3tym4SiM7zfCvZJgHz14jaIjIuYV7h+PXx5fhvcD3MD/kT7ywUQ/XbCA7SYGUmd8g8+Q+RL7zK6Bgv16qXJ599lmL/vZ3797Fr7/+iqioqEKPcXFxwZQpU8o0LpVKhYyMDGRmZmLRokVo166daUaSu3fv4sCBA8jMzDSVtYVNM+r6+vrigw8+wAcffGBTEJWeVmf4VyaDAGvwiKjk3JXu+G/H/2JZUBO8W2UeXluVjZAEQGhkyPz9H1y80AY1v1kPpX+Yo0Mlemjy1ozt3bsXfn5+CA8PL/I4T0/PsgwLEREROHv2LCRJwoMHD/DXX39Z7DcmpeYrb1mLSyaUAwI5gywUCtbgEVGpSZKEpxo8hQb+DfBW4GsYseoe2lwUkCBBdyITl9r3hNfYwag+7QNIcn6BpIorNTUVKSkppucuLi7FdgXT6XT4999/0a5duyI/XzUaDebPnw8hBKpVq4Zu3bqhSpUqdosdALp06YKYmBhotVpTlzZzxm0KhaLYFbuKY3OCFx8fjxs3biArK6vQMp06dbL1Mk5NrzMkeCJnNA1r8IjIGi2qtsCvT67E60FTEbPhOEZF6yHL+fxI/WUNYvbsQ+TS1VBYOT8pkaM1bNjQ4vmsWbMwe/bsIo85f/48MjMzi5y2LSAgAAMHDkTVqlWRmZmJAwcOYOHChZg8eXKRAyJKKygoCCNGjMDq1auRlmbonmVMOoUQEELA3d0dQ4YMQVBQkE3XsjrB27BhA958801cvHixyHKSJFnMk0f5maZJkckM06RIHEVLRNYJcg/Cwt6L8L/w/+G/IZ/jrf/lfvnWXb2LmN5dEf7dD3Bv2daBURJZ5+zZs6hevbrpeUkGcp44cQJ16tSBl5dXoWXCwsIQFhZm8fybb77B0aNH0a1bN9uCziMyMhJTpkzB8ePHcfXqVdNgCh8fH0RGRqJ58+Zwc3Oz+TpWJXhbt27F4MGDTdkm2UbojPdQMkx0zASPiGygkCkwLmocBtUehNm1X0HP7w4h4m7OztRsXBs7AQGvTkLQsy+xSwhVKF5eXqWqUUtKSsKVK1cwbNiwUl1HLpejWrVqplGv9ubq6or27dujffv2ZXJ+wMp58P7zn/9YzHdHthHCcpAFEzwisgcfFx98OmIhrn7xMp6fIsd505x5wIPPvsPV556CPmfEHpEzOnnyJDw8PFC3bt1SHafX63Hnzp0yH3QBGJpms7Oz7X5eq2rwjh8/buoIWK1aNbRr167Iqk8qRk6yDACCNXhEZEcySYbJzSehSZXGeNNzKp7Yrka/ozlz5u05gYu9OyNyyXKowiMcGyiRnQkhcPLkSTRt2jTfClFr1qyBl5cXHnvsMQDArl27EBoaCn9/f2RmZmL//v1ITk5GixYtyiQ2tVqNPXv24OLFi0hJSYEQAjNnzsTRo0eRlpYGmUyGjh072nQNqxI8ec4orJo1a+L06dN2aSuuzNQas3nwYGheISKyp0erP4oVQ1bjRe+XcCnkIp7fZJgzT9xOweUBfVF93n/h3XuAo8MkspsrV64gOTkZzZs3z7cvOTnZogUyIyMDGzZsgFqthqurK0JCQvD000/bPNChIPHx8fjtt9+QkZFhMS0KYBglvHv3bkiShLCwMERERFh9HasyiUceeQTR0dGIjIxkcmcH91PT4QFASBKEJKGhf8NijyEiKq1Qr1AsH/AbZgW8j7errMfrq3QISQSQJXDj1TeRMmo/qr8zBxLXwyYnUKtWLcyaNavAfePHj7d43rt3b/Tu3bvMY8rIyMDy5cuRnp4OSZLyTZXSsGFD7N69GwAQExNjU4Jn1f/i6dOnAwAOHjyIs2fPWn1xMpAjdxRtoHCFUq50bEBE5LRcFa74b6f/YMLjs/DOeBUO1zXWYkhIXbYOF4f2ga6MOpYTVXaHDx+GWq02JXZ5B6pWrVoV7u7uAAw1fbawqgavR48e+PTTT/F///d/aNu2LYYPH45GjRrBz8+vwPJjx461KUhnJ5D7AsvlHLRCRGVLkiQ8We9J1Pevjxc9pyBmz32M3GWYM09/9jrO9+6CWj8uhmuT/E1bRGQ986nlhgwZgjNnzuD8+fMWZYKCgnDt2jUkJCTYdC2rO3u5uLhApVJBrVZj4cKFRZZlglcM4yhaSQbBWeaJ6CFpHNQYa4eswSSvKfiw2j94da0e3hmALFmDyyNHoeqbryJw3POODpPIaTx48ACSJCEkJASNGjXCuXPn8pVxdXUFYGjOtYVVTbSrV6/Giy++iKysrHwzMOf9oRIwjqKVJEgcQUtED5G/qz/+1/8X1Ow2CNOeliOmmmG7TAfcmzsfVyaPh16jcWyQRE7CuPBD3rVyzWXmTF1k6zR0VmUTH330kekxEznb6Y1NtHIZJIXKscEQUaWjkCkwp+N/sPbZvVj2TBS2NM/9YMn6+xDO9+mMbBv7AxER4ObmBiEEHjx4UOD+rKws3Lp1CwBMffGsZVUT7enTp02ZZZs2bUzz4OWdZ4ZKRnHzDiD3ByQJ4D0kIgfxdfXF/0Yux3+qf4xvNvyKZ7foodIC0o0kXOzfCzU++wxe3Xo5OkyiCqtq1apQq9VISEjAvn37TItGAIa58TZu3AiNRgNJkhAcHGzTtaxK8Nzd3ZGRkYHGjRtj//79XM3CRvK7D4BqhgTPJ0Vf/AFERGVELpNjZpfp2BjaEu8HvY6X1mpQNQmQZeoR9+Kr8Bk3DCFvzuJUKkRWqF+/Pi5fvgwA2LFjh8W+zz77LF9ZW1j1P7Rr164QQsDHx4fJnR1kmi2WHF+j+IWTiYjKWt/aj+GzSRvw2dPBOFbL8HdeEkDK4hWIGTkAutRUB0dIVPE0a9YMAQEBpudCCIuxDICh752/vz8aN25s07WsSvDef/99uLu749ChQ4iOjrYpAAIepOaMlJFkUHtwFQsiKh/CfWpg+dMbseuZjljeUWacsRO6fy4jpltL3Nn5p0PjI6poFAoFhg8fDi8vL4vkDoBpbjwPDw8MHz4cCoVt+YBVRy9fvhwdOnTAtm3b8Nhjj6Fr165o3LgxfH19Cyw/c+ZMW2J0enJ5zjQpMgkKORM8Iio/3BRu+GHQ91gQtggfVfsMU9br4JkJiFQZ7r70f7jz5GY0mfW1o8MkqjCCgoIwadIk7N+/HxcuXEBizsTifn5+qFu3Ltq3b2+XVcIkYcUQWJlMZlGlWFwzrU6nsy66ciY+Ph5hYWGIi4tDaGio3c67ftrLCA1rBKFUYnnqSnz0f3/Z7dxERPZy+OZxfLjiOTy/Ng2Rt3O3pzcNRJOf/4TS08dxwZFTK6vP34ft7t27qFKlSonK/vXXX+jXr5/V17K5l2xRyR2nTykh432SyxElL3g1ECIiR2sd0gILn9+MH5+uib+b5P7td//nPk73bY97/xxyYHRE5d/SpUuRlJRUbLkNGzbg2LFjNl3L6gSvsImNOcmxNXInOpZJXIeWiMqvQLdArB7zJ/zfexeL+qiQnbP4jutdPW6OH4cTc9+CTuscrTZE9paamopff/0VaWlpBe4XQmD9+vU4fvy4zdeyqsPXokWLbL4wmTEmwzIZJPbBI6JyTibJMLLBSDz2n8fwYY0xGPLbNQSlAKoMCViyBhd/XQ3l11+hdrcejg6VqNxJTEzE0qVLMX78eLi4WM6csX79evzzzz92uY5V2cS4cePscnEycM/KmdFakjjtDBFVGEHuQfjklQ34uO67iPxqPZrG5nxZ1UvQvPQSjo4ZgZbTZzs0RqLyxPgZf+fOHfz2228YPXq0abTs2rVr8c8//5jK2DrQgjNVlgvGUbQyqPiKEFEFopQp8Va//8Lzi/9iQ5vcP2CSToLH4uU4MqofNBmZDoyQqPzo27ev6fH169fxxx9/QKfTYfXq1abkTggBT09PmyvTmE6UAwI5tXZyObLdbVuahIjIEfrXG4DB89di+swa2NUotyXC8/gVXOjVFnfOnXNgdETlQ8uWLdG7d2/TOIWYmBh8+eWXOH36NACYFpGYMGFCiUfbFsbqBO/69et44YUXULt2bbi5uUEulxf4Y+tEfZWBJjunBk+vgyTnShZEVDHV8auDpUNX4uwL3fBjLxm0OZ8wirtZeDDyCZz67RfHBkhUDrRu3Rq9evUyJXkpKSmmx/7+/pgwYQL8/f1tvo5V2deFCxfQvn17JCUlcbSsHWSbjTgTEitViaji8lJ5YX73L7Gw6kLMrjofr67RITAVkDIB+ftzcOjIPrT65DvIuJYtVWJt27aFXq/Htm3bTM2yVatWxZgxY+Dh4WGXa1iV4L3zzjummZc5D57tlPKcP3R6Pdw8bZ+9mojIkWSSDM80fgZRAVF4P+g1TFiZgsbXBCQhwXvjbpy82Al1Fq+DV2BA8ScjqsDWrVtX5H4PDw+kpaVBkiT4+vpi+/btFvsHDhxo9bWtSvCio6MtVrLw8vKCj48P5HK51YFUZpLImQdPr4dcxnnwiMg5tAtph4Uj12Bq4Mu4tP4MBh8wfOl3u/QA1/t1gvsn36Jmx84OjpKo7Jw8ebJEs2MIIXDx4kWL55Ik2ZTgWVVHrlarAQCurq7YuXMnkpOTcf36dVy9erXAHyohvR6SnAkeETmPap7VsHjAUmieHYaPn5AhXWXYLkvWI2PS8zj6+VzHBkjkYFIZTZFmVYJXs2ZNAED79u3RuTO/fdnK2JIt6XRQKF0dGwwRkZ25yF0wu/1s9J/wAd6doML1QMN2SSvBY8EvODxuMLIzsxwbJFEZKcnKX2WxEphVTbQjRozA7NmzcfPmTbsEQTkvpkYDuTIAer2ATMYJj4nIuTxR5wnUG1sPbwa+hMGrb6PDOcPfPq9D53GudzsE//QHqtSu5eAoiezHkQtDWJXgvfHGG1ixYgXOnTuHDz74AG+//TZHRNkg9EISdE0AaLWQJBn0Qg8Z2J+RiJxPVEAU/vfkakyr8n+4uOEAxvyth0IPKG9n4O6w/rj/9mw0HDLc0WES2UVERITDrl2iBO/pp5/Ot6169eo4e/YsZs+ejR9//BHNmzdHQED+EVGSJOHnn3+2PVInlu6jggsA6PWAXMHRx0Tk1HxdffFtjwX4tsq3eD94AV5bo4NfGiBPB3TvzsK+I3vQbs6XrDggskGJErzFixcX2AHQOHdLfHw8bty4kW+/cRQIE7yiZatkcAEg6bSAqwu0Oj2UnB+aiJyYXCbHS81fQqOARnjH/zVMWZ2FBvGAXC/Bf+0OHDjXGc0W/wkPPx9Hh0pUJvR6PdLT06HT6Qot4+Nj/fvf5jSiLEZ+VDbpci08ASA7G5Bk0On0jg6JiOih6FqjKyJHr8NA1354aqce/Y/kzOh/4T7O9WuPoPk/I7x1WwdHSWQ/N27cwM6dO3Ht2rUikzsAmDlzptXXKXH9t6NGgVQGSpHT304IZAs9tMW84EREziTcOxwnnz6N4OnT8flAGTJzZovySNAj+ZnxOPbNZ44NkMhO4uPjsXjxYly5cgVarbZMc6gS1eDt3LnT5gtRUXJfSE+FKzTZWgfGQkTkGGOixmLwB0/gPzXH4LFfziMkAVBqJCi/+hF7ThxAu2+XQaHiXKFUvOjoaOzatctiW0BAAKZMmVLoMWfOnMHOnTuRlJSEgIAAPPbYY6hTp45d49q1axe0Wq3F3Hd5kzlj9zdblSjB41x3D5EQFmvTEhFVJp4qT8x5fjV+qv8R4j9bgtYXDR90gXtP42jftqjz8xoEhNdwcJRUEQQFBWHs2LGm50UN2omLi8OqVavQvXt31K1bF6dOncLvv/+O559/HlWqVLFbTHFxcaYETi6XIzAwEC4uLmUyoIhd+csDs0RdkgR0evbBI6LKS5IkPNtlGg7Wao8/5kzGkGgtZALwiU/HhSd7QfnWu2g1aJSjw6RyTiaTwdPTs0RlDx06hNq1a6NDhw4AgG7duuHKlSs4fPgw+vfvb7eYjH3uXF1d8cwzzxQ4+4i9WJXgxcTE4MCBAwCAqKgoPPLIIxb7jx49irNnzwIA2rVrZ/cqTudjWRUr9Oy/SETUNqwjIj7Zhk/mP4mhq+7DJx3wSwE0b3+AVUe2Ysh/Fjs6RCrHEhIS8Omnn0KhUCAsLAzdu3cvdFRqXFwc2rVrZ7GtVq1auHDhgl1jCggIwN27d1G9evUyTe4AK5cqmz9/PiZMmIAJEyYUuF+pVGL8+PGYMGECvvjiC5sCrGwkAHohOJKWiAhAsEcw5kzfgR3TOuFiiGGbSgc0XHUIa4a1hTo52bEB0kOVmpqKlJQU009WVsFL3FWvXh0DBw7E6NGj0a9fPyQmJmLRokWFller1fDw8LDY5unpCbVabdf4mzRpAiEEEhISynwwqlUJ3t69eyGEQK1atfLV3gFA06ZNUa9ePQghsGfPHpuDdHbBNzWmxxIE9Ho9srUcaEFEBAAquQpvD1+A5HkvY0uL3Km56v+bjEOPt8e5I/ycqSwaNmwIHx8f08/cuXMLLFenTh1ERUWhatWqqF27Np566ilkZmbizJkzDzliS23atEG1atWQlJSEP//8E5mZmWV2LauaaG/cuAFJktCgQYNCy9StWxcXLlwocAJksqQzX5VMZuiDl63VwdXFYSEREZU7Y1tNgvj1OSyd0QeNN8bBRQuE3NUj7dnnsOX5keg1yfo5w6hiOHv2LKpXr2567uJSsg9KV1dXBAQEICEhocD9np6eSEtLs9imVqtL3IevpJYuXQq9Xg8hBE6cOIFTp07B398fbm5u+cpKkmQxSKS0rErwUlJSAACJiYmFljHuS01NteYSlUq6uwyqnMeSDAAkaFiDR0SUjySXY8xHW7Gp8btw/2YlqiQBHpmA2xe/YeU/hzD46/WQK7iWt7Py8vKCt7d3qY/TaDRISEhAkyZNCtwfFhaGq1evom3b3Em1r1y5gtDQUKtjLUhsbKxpihQhBLKzs3Hnzp18i0YYVwKzhVVNtD4+PhBC4N9//0VSUlK+/YmJifjnn38AwKoXorLRKgwvolYCJLkKkgROlUJEVIQ+Yz5AtR++wflIw99PGYCo6CuI7t8Ad2NOODY4critW7ciNjYWSUlJiIuLw/LlyyGTydCoUSMAwJo1a7B9+3ZT+TZt2uDSpUvYv38/7t+/j+joaNy8eROtW7cusxiNiV5ZrQhmVYJXr149AIbauYkTJ1rU0plvkyQJdevWtU+kTkxYTJMigyRJ0GiyHRcQEVEFULdJN/T+Yx+OPOoJ47C0kFg5YkaPxLHlnzs0NnKslJQUrFq1Cl9//TX++OMPuLm5YeLEiaaBFMnJyRYDKMLCwvDEE0/g+PHj+P7773H27FmMGDHCrnPgGT2slcCsaqJ97LHHsH//fgDA2rVrER4ejmbNmgEATp48iWSzUU2PPfaY7VE6Mb1eWGR4EiTIJAl6IaDXC8hkXOuXiKgwbh5+GPvTESz/7yjU/P0EvDIB/2QJmg9+wOaTe9B7ziqAa6ZXOkOHDi1y//jx4/Nti4qKQlRUVBlFZPDKK6+U6fnNWVWD99xzz8Hd3R2AIRNNSkrCrl27sGvXLosmWzc3Nzz33HNWB3fkyBH07dsXvr6+8PDwQNu2bbFixYoSHSuEwKZNmzBp0iQ0adIEPj4+cHd3R9OmTTFnzpwyHblSGplaHbJkhu+eQgLkcjnkMhm0Wj2yWItHRFQiw6cvQ9YXH+BaVUMyp9IC4WvO4a/hLZCZeNfB0REZ+Pr6lurHFlYleCEhIfj6668BIF/7sfkaal9++aXFaJfS2LlzJzp06IC9e/di2LBheOGFF3D79m0MHz4cn376abHHZ2VloW/fvli0aBFCQkLw3HPPYeLEicjIyMDbb7+NTp06IT093arY7E2lz30Z5JIMcrkMOr0eWdlM8IiISqpj56FotmobjjbJHZEY+W8m9g/ujKv7/nRgZEQPnyRsaOxdu3Ytpk6ditjYWIvtNWrUwKeffoohQ4ZYdV6tVov69esjPj4eBw8eNDX/Jicno3Xr1oiNjcXFixcRHh5e6Dmys7Px0UcfYfLkyfDz87PYPmTIEGzYsAEfffQR3njjjRLHFR8fj7CwMMTFxdltZE1alhbHB3eDR9/R0KYmwvPJvvD2CkFGlgaebq6oFuRX/EmIiMhEp9dh4YzBaP1nDFQ549VS3YHMCX3R6aXiKwio/CmLz19Hy87ORkJCQpEtikXlOcWxKcEzOn78OK5cuQIAiIyMRIsWLWw639atW9GrVy9MmDABCxcutNi3ZMkSjB8/Hu+99x5mzrRuzqMDBw6gffv26NevH/78s+Tf6soswRvUDR79DAme17B+8PKsBk22FjKZDOHVAstshA0RkTNbvey/CJq/BIGGmb2gl4D9nb0x/oudULq4OzY4KhVnSvBSUlKwadMmxMTEQF/M2vPW5jmAlYMs8mrRooXNSZ256OhoAEDPnj3z7evVqxcAYNeuXVafX6lUAgAUCrv8+jaTLB4bmmslSYJer4cmWwsXldIxgRERVWBPjJqOU8264PzUZ1A/VgeZAB6NTsGGIa3Q8rNFqFG37KbAICqIRqPBokWLkJycXOxoWYfMg1fWYmJiABiWGskrODgYnp6epjLWMNYKFpRAPmwWL68E40zHUMhlyNbqkJGlKegwIiIqgcYN2+Kx1fuxv0Nud5cGl/S4PH4cov/42IGRUWV05MgRi8GoBY1jsFerXYmqsLp16wYA6NKlC2bOnGl6XhKSJGHHjh2lCso4zYqPj0+B+729vS2mYimNTZs2YcGCBWjQoAEmTpxYZNmsrCyLhYnLbFUOi3nwJNO/MklCWkYWfDzd2UxLRGQlL3dvPP3TPnzz36fQ9vcT8MgCghOAzPcX4vd/9mH4+6shycplfQc5GfPKKWOTsyRJ8PX1RUBAgKm7W1RUlKm10VolSvCio6MhSRICAwMtnhfHHktt2NORI0cwfPhw+Pj44I8//ih2Dbu5c+fivffeK/O4LJpoJbMRtXIZsjTZ0On0UHDpHSIiq0mShCkzluFk+4249fb/odp9AddsoOnKC/j96iPo9/UmePsFOzpMcnL3798HYJhGbty4cfjwww8BGGYnefLJJ3Hu3DmsWLECycnJBc7VVxrl8iuLseausFq6lJSUQmv3CnP06FH07NkTMpkMW7ZsKdFkhjNmzEBycrLp5+zZs6W6ZkmYt8ELwGJCToVCDp1ejwwNm2mJiOyhWee+eGTdHpxvkDvIotmxTOwd2hWnD65zYGRUGWRmZkKSJAQHB0Muz19x06BBA1SrVg03btzAnj17bLpWiRO8vJ0By3KpDWPfu4L62d2+fRtqtbrA/nmFOXr0KHr06AG9Xo8tW7agVatWJTrOxcUF3t7eph8vL68SX7M05MgdRSOZ1efJJAl6vYAmW1sm1yUiqox8AgIwcNURnO7fCNqcT8GaN4DUF6djw7cvOzY4cmqynK4AKpUKAExJXkZGhqmMp6cnhBA4ffq0TdcqURPt1atXAcC0hpvxeVnp3Lkz5s6di61bt2LEiBEW+7Zs2WIqUxLG5E6n02HLli1o06aN3eO1iV6b2wdPsmyiBQCZTEJ6pgb+3uWruZuIqCKTyWR48pM/8HeLL+H22XfwVQO+aYDn19vwv7OdMPzzbVAoi+7GQ1Rabm5uSE1NRXbOQgaurq5IS0tDfHw8UlJSoFAocOPGDQCFt2KWVIkSvLwT7dky8V5JdO/eHZGRkVi2bBlefvlli4mO58yZA5VKhbFjx5rK37p1C8nJyahWrZpF0+2xY8fQo0cPaLVabN68Ge3atSvTuK0htLmDOAQASW75B0WpkCM7W4ssjRauLpwuhYjInrqNehlXW3TG+ZeeQkScDgo90GL7Pawb+gjaf/EbqkU0dnSI5EQ8PDyQkpJiqrELCAhAWloatFotvvrqK0iSBK3W0Gr3UAZZ5BUZGQnAUI147Ngxm4PIF5RCgZ9++gm9evVCp06dMGLECHh5eWHVqlW4du0aPvnkE0RERJjKz5gxA0uWLMGiRYtMnRITEhLQo0cPJCUloXfv3ti2bRu2bdtmcR1fX1+8+uqrdo299ITFIAvkqaSTy2TQZGcjWZ0OF5U3a/GIiOysZv2mCFl/BOte6IXGh+4BABpe0OHcU8Nw5c0X0WHgFAdHSM6iSpUquHXrFh48eAAhBCIjI3H9+nUAMCV2gGFQkK2VaVYleLdu3YJGo0HXrl3tntwZde3aFXv37sWsWbOwfPlyZGdno3Hjxpg3bx6GDx9e7PEpKSlITEwEAGzevBmbN2/OVyY8PLwcJHiAFhKMd1HKk+FJkgSFXAZ1ega8Pd3g5qJ6+AESETk5Fzc3DFuyG2vnvoQav22Hmwao9gBIf/cb/PHPHjw5c7mjQyQnEBISgrNnz0IIgbt376JVq1Y4cuQI0tLSTBU4QggoFAp06dLFpmtZtVRZ/fr1ERMTg27duuWrFXNmZbFUSnJyIv4dNgAej4+BJi0RVceOg1JmmTQLIZCRpYGHmytCgvxYi0dEVIaO7FiNtJnvoOqD3I/HE63dMfCrzfDwCXJgZJWXMy1Vltf9+/exdetWXL9+HXq9HqGhoejevTuqV69u03mtqsEbMmQI5s6di+PHjyMlJQXe3t42BVGpCQF/NZAFQKFFvuQOMNTiqZQKZGRqkJKWAR9PrqFIRFRWWnV/AvcbtcHe5/qj3gXDQvDND6dj55OdUfu/n6N+i14OjpCcSWBgIEaNGmX381o1D95bb72Fxo0bIykpCcOHD0dcXJy946o0RGbuIIuipjJWyOUQEEhMSeO0KUREZSywanUMWHMMp3rVhS6n0aTWdYEHz7+KTT9Pd2xwVClcuHDBpuOtqsF7/PHHIZfLIYTA1q1bUatWLURERCAkJMQ0x4uRNUuVVSZCry++UA5XlRLpmRrcT0pFcIAvZDI21RIRlRWZTIZhX6zD1kXz4P31YvikAf6pgNdn6/C/U0cw4pPNkCs4uwHZV0xMDKKjo3Hr1i3MnDnT6vNYleAZlyqTJAlCCGi1Wly6dAmXL1+2KFfeliorl8y6QD7wklBU7w5JkuCiUkKdnoFbQrA/HhHRQ9BzwjTEtOiMK69NRI2beih1QIvNN7H6egt0+WYNgqrVdnSIVM4lJyfjypUrSE9Ph5eXF2rXrg13d8vuVleuXMHOnTtx48YNu+RPViV45phg2EaWEm/2rPjxLgq5DEIokJ6ZhYQUNfy9PfkaEBGVsTpN2yJ0wyH8+VxPNDpmmKGh0VktTg5/HN5vvYE2vZ92cIRUXh06dAjbtm2D3qzFTqFQoH///mjSpAkyMzOxbt06U5OsLSuBmbN6LdqyXKqsUtFllvoQpUIOSZKQmJyG+0mpvNdERA+Bm4cnnvzffpwd1QFZOS2zoXcB+bSPseq/Y4s+mCqlmzdvYsuWLdDpdBb5UXZ2NtatW4fbt29j6dKluHDhgumz3Fhpk7fLW2lZVYNX1kuVVSoWffBKXhPnqlJCk61Fijodbi4qeLq72j82IiLKZ8jMn3Cg5f+Q/MGHqJIIeGQBDRcfwbILrTH4m+1wc+fMEmRw7Ngxi+ZW8yROCIGVK1fiwYMHFt3eZDIZmjZtik6dOtl0basSvLJeqqyyKm09nFIhR0aWBvcSU6AXAt4ebmUSFxERWWrX9yncbtoBh54fiLqXNACA5gdSse2Jtoj65AfUavSogyOk8iA+Pt6U3Lm4uJjyp9jYWGg0Gjx48ABA7piFZs2aoVOnTvDz87P52jb3wSPb2NK8KkkS3FxUyMjS4H5iCgAwySMiekiCq0eg/7rjWPlSPzTaeQ0yAdSJFbg58VlcmTICPcbMcnSI5GDJyckQQkClUmHSpEmmeYOTkpLw7bffQqvVQggBPz8/DBs2DMHBwXa7ts0JXnx8PG7cuIGsrKxCy9hazVhpWDFWwjzJe5CUCpkksbmWiOghkcvlGP7tZmz6fhYCflgBr3QgMBnQ/Pd3LPv3IEbO+wuSjX2pqOLSaDSQJAnVq1e3WBTC19cXoaGhuHr1KiRJwqBBg+ya3AE2JHjr1q3DtGnTEBMTU2Q5SZIsFtAlS5ka2+9N3po8AQEvd9bkERE9LH1eeA/nHumKuDcmI+y2gEoHNN8Qiz9im+Oxr9fDvyq7NlVGxqZXN7f8n8nm22xdlqwgVn2t2Lx5M5544gnExMRwNK2NkjI0uU9suFXGJC9bq8PdB8m4n5QKna7kkygTEZFtGrTqgvbr9+NM09yamsanNDg6rDeO7fzNgZGRo2VnZyM5OdniJzs727RfrVbn25+cnGzTNa2qwZszZ44pKzWO+iDrSOa3zsbp7CRJgpurCppsLRKT1cjIzEKArxfcXV1sOzEREZWIp7cvhi4/hJXvjEGdtUeh0gJhd4DUqe9jzZhoDJ66wNEhkgNcunQJX3zxRYH7hBCF7nvoK1mcOHHCNCokKCgIbdq0gY+PD+TyolZTpYdFpVRALxdIz9Qg+34SvD3d4OflCbmc/UCIiB6GoR/+ij0tfoI071MEJANeGUDdH3Zj2bn2GPrVdqhc3Ys/CTmN4irCCtrv0JUsAgMD8e+//6JKlSo2BVGZCZHbjGrPBlWZTIK7q6HJ9kGSGhmZ2fD38YS7q4orXxARPQQdn3gGN5p1xPEXh6L2VS1kAJrvScSmJ1qh2fzFCK/bytEh0kNS2s9de7SMWpXgNWrUCIcPH0bz5s2Z3NnK7EW0d/2aJElQKRVQyGVIz8yCJjsbPl4e8PPyYG0eEdFDUD2yHqquO45VU3qj0e6bkAGoe0WPa2PH4sprT6Pr8DccHaJT2rNnD86fP4/79+9DoVAgLCwMjz32GAIDAws95uTJk1i3bp3FNrlcjnfeecemWBzVjc2qBG/ixIk4dOgQTp8+jaysLLi4sI+X1SwSvLKpWZPJZPBwc0GWJhsPklKRnpEJXy8PeHm4sTaPiKiMKVRKDP9hBzZ8MQ3VFq2HRyYQlARkfbAQv5/ci+H/WcOpVOzs2rVraNWqFUJCQqDX6/H3339j6dKlmDx5MlQqVaHHubi4YMqUKXaLY9Ysx82FaNU7auLEiejZsydu3bqFIUOGFDtVChXl4WX2Liol3FxVyNRocTchBbfuJSI9o/D5C4mIyH4ef2UeVF9/hhtVclY20AJN11zEilGPIDnhloOjcy6jR49Gs2bNUKVKFQQHB2PgwIFITk7GrVvF32dPT0+Ln4rKqhq8WrVqITMzE0IIbNq0CZs2bYKnpycCAgLylZUkCZcvX7Y5UOf1cKcykUmGvnlanQ7qjExkZGng6e4GP28PqJRc2ISIqCw1ebQPUta2wrZne6HhmXTDtpOZODCkG6p/+F807jDQwRGWb6mpqUhJSTE9d3FxKVEronExhoLmozOn0Wgwf/58CCFQrVo1dOvWrcJ2RbOqBi82NhZ37twxTZEihEBqaipiY2ML/KEi2HGalNJQyOVwd3WBTCYhWZ2GG3cTcC8xBZpsTkpNRFSWvP0DMWTVMZwe2BjZOZNPhN8C0l+ajg1fvezY4Mq5hg0bwsfHx/Qzd+7cYo8RQmDz5s0ICwsrMlkLCAjAwIEDMWLECAwePBhCCCxcuNAioaxIbG70N86FV9APlYDesXMIKhUKuLmoIIRAQrIa8Xce4Pb9RKRlZHJ+QyKiMvTkvBV48M4kJHgZnnunAzW/3YZlkzpBm83uMwU5e/asxUTAM2bMKPaYv/76C3fv3sXQoUOLLBcWFoamTZsiODgYERERGDZsGNzd3XH06FF7hf9QWZ3gcQULe3H8fTKOtjVOoZKalonb95Nw614iUtMyoNdzRQwiorLQdeTLqL70d1ypYajKkwug+c572PDEI7gRe9rB0ZU/Xl5e8Pb2Nv0U1zy7ceNGxMTEYNy4cRZrwZaEXC5HtWrVkJiYaEvIDmNVgqfX60v8o9Pp7B2zUylPibAkSVAq5HBzVUEulyMtMwt3HiTj+u37uJ+UgowsTbmKl4jIGUTUa4oeG47hVLsg07b6MTpcHPUk9q792oGRVVxCCGzcuBHnz5/H2LFj4efnV+pz6PV63Llzp8IOtOC4bAeTLAZZlJ9mbYVcBjcXlWFVDL1AQnIabt5LxM17iUhWp0OTrWWyR0RkJyoXFwxbtBsXJ/ZAek6lVHAC4D7zG6yYNdyxwVVAGzduxL///osnnngCLi4uUKvVUKvVFuu/rlmzBtu3bzc937VrFy5fvozExETcunULa9asQXJyMlq0aOGIX8FmHDbpYEKXm+BJ5TBhkskkqGQKKBUCOr0e6ZlZSM/Mglwmg7ubC9xdXeDmooJSwWXqiIhsNfCNL3Gs5WrcevdtVLsPuGmAxsv/xe+XHsGA77bB3dvf0SFWCMZ+c0uWLLHYPnDgQDRr1gwAkJycbDFeICMjAxs2bIBarYarqytCQkLw9NNPIygoCBWRJEpQDbN+/XoAQPXq1fHII4+U6MQrV67E2bNnAdi2WG55Eh8fj7CwMMTFxSE0NNQu5zy74COIXzYga+QYpGuSEfHU03Y5b1kSQkCr00Gr1UMAUCpkcFWp4OHuCjcXFRRyGQfZEBHZIPHeLUQ/1xf1z2Watl0NlVBz7udo0KqXAyNzjLL4/HV2JWqiHTRoEAYPHox58+ZZbH/xxRcRGRmJWrVq5Ttm+fLlmD17Nt577z37ROqkhNm0JHIHj6gtKUNfPQXcXFVwc1ECkKDOyMSd+0mIu30ft+4lIjFFjYwsDfTlsFaSiKi88wuqhoGrjuHfPnWhzfmkrhkvkPTCq9i4YLpjg6MKwaY+eHfv3uVcdzYSZn3wbgdWvGZO08AMFxVcXZSQSRLSMrNwPykVN+8mIP72fdxPTIE6PRNaDrghIioxmUyG4Z+vw+1p45GU08/fNw0I+2Idlr3UHTot5y2lwnGQhcM5zxQkkiRBYUz2VEoo5HJka3VITEnDrXuJuH77Pm7eTUBCshppGZnI1uo4UIOIqBg9xk1D0KIliA01fGQr9EDzbTexdmhz3Im/6ODoqLxigudoZs2yztRrTZIkyOUy0/q3ri5KSJCQnqnBg+RU3LyXiLjb93HzXiISklOhzshEtpYjc4mIClK7cWt0XX8Yp1rnTvfR8LwWZ0YMxIGNCx0YGZVXTPAczHwSYeHEAxOMTbmuLkpTDZ8kScjI1OBBkhq37iUi7vYD3LibgPtJKUhRpyMjSwMdJ1kmIgIAuLp7YNgv+3FuTEdkKg3bqt0HVNM/xsr/jHVscFTuMMFzuMpZY2WR8LnmJnyZmmwkJqfh9oNk3LibgOu37uPG3QRDLV96JrI02VxZg4gqtSfe/gGaj9/FnZwZU9w1QNSvR/DbuNbISK+Y66aS/ZVqHrz09HRcv37d4rlRXFycRfOa+T4qnGCyAiA34VPCMNDEuNydTi+QkalBekYWIAEySYJcJoNKpYCrSgmlUgEXpRIKhRwyJ64BJSIy16b3KNxr0gH7XhiAehc1AIBmh1KxY1Bb1P34e9Rt2snBEZKjlSrB27RpE2rWrJlvuxACERER9oqpUhGCCV5BJEmCJEmQyWCaRFkIAb0Q0On0SM/Igjo9C5JkGGkmlxkSRJVSCZVCAYVCDqVCDoVcDpmMiR8ROZ+gkHA8vvoYVr72OKK2x0IugFrXBe498zyuvjgSvcY7xxy0ZJ1SJXhFdYBn53hrmd035iFFkiQJ8pwaPCNjLZ9er0dmVjbSMzWGW5pT2yeTyaBUyOGiUkBpTPzkclONHydkJqKKTK5QYPhXm7Dpx9nw+245fNIB/1TA6+Pf8Nu/BzDsow2QK7hoVWVUqle9tB+GTPqKJyz64DHZKC1JkqCQS4DcsjupEAJ6vYBe6JGlyUZGVv7ETy6XQaVUwEWpgCIn6VPI5VyJg4gqnD7Pzsa5R7ri+v9NQo2bAkod0GxjLNZcewTdvl0P/6rhjg6RHrISJ3hM1sqGqCCrV1Q0hmlaJMhRWOInkK3VIUuTjdScxE+CBJnMkPwp5DKoFHIolQrIc5I+Y/Ink3FsEhGVPw1adEaNdQfw1/M90Ph4KgAg6owGx4f2hu+sd9HysVEOjpAephIleBy1WHYydFlwcXQQlUhu4mfJMKgD0As99Ho9snQ6i1o/ILfmT5FT82fe3KtUyCGXsb8fETmWh5cPhi07jJWzxqD26qNwyQaq3wPU//cB1oyKxuA3f3B0iPSQsGHewe5rk+Gb8zgd2Y4MpVIzDOoAZJAjX/YHy5o/TbYWmZqc1yonAZTLZLkjgRVyqMxq/uQ5zcHGMkREZW3oe79i3yMLkTL3YwQlAp6ZQN2Fe/Db+fYY8u0OqFzdHB0ilTEmeA6Wlpm7PqsX6/LKLcuaP8sMUC8ERCH9/YzHmtf+KY1NvzJD0qeQyyCXyyGXyzjVCxHZTYcBT+Nm0w44Onko6lzWQgag2f5EbB7UEk3mL0JE/daODpHKEBM8B3OV536gKwqqOqJyTyZJQAH9/YDcqV0MNYBmTb9mjAmgYcCIzNT0K5fLIZdJpto/Y4IocfQvEZVQSHg99F1zHCtf7oPGu25AJoA6sXrEjRuHy69MQPdRbzo6RCojTPAczHwUrZz9t5yOcWoXAIU2/ZongRqtDlkabZ7R1YYBIJJMMk30rJDLoFQqTE3AMlNNoIx9AYnIgkKlxIjvt+Ovb6Yh6Kf18MoAApMBzZxFWP7Pfgz/7xqAXxqdDhM8R+Po5ErNNKFzEWWMA0CMiaBWp4NGq4XIyDI7kWVNoFwuMw0AMY78NSSCkikhlMsk1gYSVSL9XpyH0490R9z0VxF2W0ClBZqsu4A/rrRAj+//gm9AiKNDJDtigudoFtPg8YOW8jMOAAHyj/41yh0FbKgJzNbqoNFoDdMbGd9WZvMA5q4Uktsv0LjqhzH5y5sUMhEkqvgate2J8LV7sOX5Xoj6J82w7VQmDg/pjiofzEWzjoMcGyDZDRM8h2MNHtkudxRw4UmYcS5LYxIoBKDT6ZCt1SI9U+S+FY2DQ2A4p7FmUJ4zF6DcbGSwzLxWMCdhlMkkrhJCVI55+QZg6PKjWDFjGOptOAWVFgi7DaS+PAPrx+/EgFe+cHSIZAdM8BzNbC1apnpUlowJl7wEiZd5s7CAYZSwRqtDVnZOrWC+ZDC3uTlvQmjsG5i/mTgnIWQySOQQw+auwK4WX0H2ybcITAa8MgCP77fitzOdMPTrbVCqOLNDRcYEz8EkNtFSOWTeLAygwAEiRoYkMHfAiBCATq+HVqdDptAYupnmaSbO7S9oXG5OnjtfoHHgiGTZTGz+mIjso/OTLyGuRRecnDISta/qIBNAs933sHHwI3jk698RWrORo0MkKzHBczAuAUcVnSRJhvythDWDxn/1IncC6SxdtqHGEMJiDkGggNpBmQwKuWSYSFomg0wug1wyJoESZJLMoi8hB5IQFS2sVmMErzuGVZN7oPHee5ABqHtZhysjn8SVN15EpyFTHB0iWYEJnsMxwaPKw5hoFTdy2KjA2kGdDlqtgF5o8iWDEDDVCuZtLjbWEJoGk1j0GbRMEI3nIKoslCoXjPhpN9Z99jKq/7INHplAUBKQNfsbrDixG8M+XOHoEKmUmOCVK/xAITJXmtpBoOjm4sJqCM2vky8pNCaG5lPLyCSzGkPLQSVMCqmiGzj1S5xsuQY33nkL1e8CLtlA45WnsPzyI+j3/TZ4+vg7OkQqISZ4DiaZDbJgfkdkG2sSQuO/xgTQMinMmXLamBTmWYIuf/OxZFh9RCaHTC5BIbOsLcwtk/uYg0yovGnWaTCSVrfFjuf7ouGZTABAkxPp2Dv4UdT47+do2LqXgyOkkmCC52hsoSVyGPMm49LIN8pYAHq9Hno9kC0EhNBYJobm1zSbfsbwr+XIYsNKJfmbkXPXNDY+ZlMylR3fwGoY/Mcx/DFtMBpsvAilDgi/KZA86VX89cwA9Js0z9EhUjGY4DkcMzyiiibfKOMSsqwpzE0MdXogW2gLbkY2jjzOSQxhVnNobEo2JYJyGWQSTNPPyCTjEncys4TRmBxKTBCpSDKZDMM/XoftTT+C2xeL4J8K+KQBnl+ux2+nj2LYF1sgVzCNKK/K9Stz5MgRzJo1C/v370d2djYaN26MqVOnYtiwYSU+R1ZWFubNm4dff/0VcXFx8Pf3R//+/fHhhx+iSpUqZRh9CVmMouUfWiJnZk1imNuMnJv85WtKzilQ6NdFs8En5gmiJEn5Vi3JN2G1cZuU26xs3rxs/L3IeT02+k1ceaQrzr4yHrWu6yEXQLMdN7F+cHO0+2Y1gmvUcXSIVIBym+Dt3LkTvXr1gqurK0aMGAEvLy+sWrUKw4cPR1xcHF5//fViz6HX6zFw4EBs2bIFbdu2xZAhQxATE4OffvoJO3bswMGDBxEUFPQQfpsisAKPiIqQ24wMWPsl0HzwCUTuc2PtIYTWrEzOtQqZvzA3OTTEY6oVNEsKjYNSzJuWLZLDPKOcWZtY/kU2aIXq645gzaTH0PRgIgCgfowW50cMwNW3/g/t+k90cISUV7lM8LRaLZ599lnIZDLs3r0bzZo1AwDMnDkTrVu3xltvvYWhQ4ciPDy8yPMsWbIEW7ZswciRI/G///3P9Mfj+++/x6RJk/DOO+9gwYIFZf3rFKmI79xERHZR2sEneRU2GAUQ0OkFtKYk0ayJGciXIBo2STlNzsYaRcO23EQxd4UTY6JYUHJYcNKYWzNJ9ufi5o4Ri/dj9dznEP7bHrhrgKoJQMZbn2Dl8V0YOvMXR4eYz+HDh7F//36o1WoEBwejT58+qF69eqHlz5w5g507dyIpKQkBAQF47LHHUKdOxayhlEQ5nGl369at6NWrFyZMmICFCxda7FuyZAnGjx+P9957DzNnzizyPO3bt8eBAwcQGxtrkQwKIVC7dm3cuXMH9+7dg5ubW4niio+PR1hYGOLi4hAaGlr6X6wAq994AvX230PWyDG4GyDQqNtQu5yXiKg8MW9qNn61NdUoIndqG2OZAhNFw6EFjmTO+9yY+BmbniVZTv9Es/6H+WoS8yaLyN3PGkZLR7YuQ+r7H6Da/dxt/7b0woAF2+Hm4W3361nz+Xv69GmsXbsW/fr1Q2hoKA4ePIizZ89iypQp8PDwyFc+Li4OixYtQvfu3VG3bl2cOnUK+/btw/PPP18+unSVUrmswYuOjgYA9OzZM9++Xr0Mw7N37dpV5DkyMzNx6NAh1KtXL19NnyRJ6NGjBxYsWICjR4+iY8eO9gncVvzbQUROyh5NzUYWNYrISRqNj2FYHcVQq5hb41j4yVBg7WJuX8WcPTnJYb6+icYaRrNE0JQsoqDEMX9yWRG16jkKD5p0wK4XBqDBeQ0AoMnRVOwc2Ba1Pvke9Zp1cnCEwMGDB9GiRQs0b94cANC/f3/ExMTgxIkTePTRR/OVP3ToEGrXro0OHToAALp164YrV67g8OHD6N+//0ON3R7KZYIXExMDAAVWiwYHB8PT09NUpjCXL1+GXq8vtGrVuD0mJsahCZ4+Pc1h1yYiqoisnd6mKLlzHubOfZg7qAXQ6wX00EFo8+8vLl+1TBjz1zZKZn0XzQewGJJHy7kWjc/zNlWbyuHh1TgGBIdj4Mpj+OP/HkfU1lgo9EDNeIGEZ57Hlskj0OvpWWV6/aLodDrcvHnTIpGTJAmRkZGIj48v8Ji4uDi0a9fOYlutWrVw4cKFMo21rJTLBC85ORkA4OPjU+B+b29vUxlbzmFeriBZWVnIysoyPU9NTQUA3L17F3J5Eauvl0K1w9cBVSAAQOEViKTkFLucl4iIHE+YPRBmW4XZzqL6SUlmDySzreYVoeZpnHkNqfmx+cvZL/lr9tL3uPHYQXicvABXDeAGwHVZNI5Grkf1eq3sco27d+8CMHwOp6Tkfk66uLjAxcUlX/n09HQIIfI1xXp4eOD+/fv5ygOAWq3OV97T0xNqtdrW8B2iXCZ45cXcuXPx3nvv5du+dOnSQhPH0qrWpjqiTj6AuBmDO34K3Dx21C7nJSIi5yQBkGSynEmyZVYka7nzMBof204JZWQEqtyIhW8qcPnRmjiz6wSw64Qdzp1bGdOwYUOL7bNmzcLs2bPtcg1nUy4TPGPyVFjtWkpKCvz8/Gw+h3m5gsyYMQNTp041Pb9x4wYaNmyI0aNHo1q1akVev+Seg1abDU12Fmq5edrpnERERA9fZroah354E49O+RId7DgJ8q1bt/D555/j7NmzFqNgC6q9AwB3d3dIkoS0NMtuUGlpafD0LPiz1tPTM195tVpdaPnyrlwmeOb94x555BGLfbdv34ZarUbr1q2LPEdkZCRkMlmhffWK6udnlLfq15gUVqlSxY4JHhERkfOoOW+N3c+p0+kAAF5eXqYuVkWRy+UICQnBlStXUL9+fQCGfpZXrlwpNH8ICwvD1atX0bZtW9O2K1eu2G3WjIdN5ugACtK5c2cAhulS8tqyZYtFmcK4ubmhdevWuHDhAq5du2axTwiBbdu2wcPDAy1btrRT1ERERFRetG3bFsePH8fJkydx7949/Pnnn8jOzjbNrbtmzRps377dVL5Nmza4dOkS9u/fj/v37yM6Oho3b94stkKpvCqXCV737t0RGRmJZcuW4eTJk6btycnJmDNnDlQqFcaOHWvafuvWLZw/fz5fc+xzzz0HwNDUat7HYMGCBbhy5QqeeuqpEs+BR0RERBVHo0aN0LNnT0RHR2PBggW4c+cOnnrqKVOTa3JyssUAirCwMDzxxBM4fvw4vv/+e5w9exYjRoyokHPgAeV0omOg8KXKrl27hk8++cRiqbLx48djyZIlWLRoEcaPH2/artfr0bdvX9NSZZ07d8alS5ewevVqRERE4NChQ6VaqqwsJjomIiKiovHzt/TKZQ0eAHTt2hV79+5Fhw4dsHz5cnz33XeoWrUqfv/99xKtQwsAMpkM69atw+zZs3Hv3j18/vnn2LdvHyZOnIgDBw44fh1aIiIiojJQbmvwyiN+gyAiInr4+PlbeuW2Bo+IiIiIrMMEj4iIiMjJMMEjIiIicjJM8IiIiIicTLlcyaK80mq1AAzz7hEREdHDYfzcNX4OU/GY4JXC6dOnAaDCzmpNRERUkZ0+fRoRERGODqNC4DQppfDgwQMEBgbi4MGDJVoLrzQu9+0HQEDu6wtdUjJqbfwLt2a/BwBIP3YM7o88Yvq32uxZAGDab1Rt9izEjhqFiGXLTNtuzX7PorzxcUEKO7aw44rbX5iCYiroX+PvVJLYS3q9omIwl/deWMuauIs75tbs95B18YJd4rMnW16j8sZev0t5uicPM5by9HuTc0hJSUHbtm1x//59BAQEODqcCoE1eKWgVCoBAA0aNLB7ggdXV0AIyN09oMvMQoMGDeDp7w8AULu5wdPf3/RvWIMGAGDabxTWoAHk7h6om7PfWMa8fJjZvrwKO7aw44rbX5iCYiroX+PvVJLYS3q9omIwl/deWMuauIs7xtPfHxl2is+ebHmNyht7/S7l6Z48zFjK0+9NziElJQVA7ucwFY+DLIiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJyMwtEBVCQ6nQ4AkJKSYvdzq3U6QAjItVrodDqkpKQgVaMBAKTpdBAajelf4/WN+41SUlKg1mot4kvNU76o2As7trDjittfmIJiKuhf4+9UkthLer2iYjCX915Yy5q4izsmVaNBpp3isydbXqPyxl6/S3m6Jw8zlvL0e5NzML6fjJ/DVDxJCCEcHURFceTIEbRu3drRYRAREVVKhw8fRqtWrRwdRoXABK8UEhMT4e/vjzNnzsDb29uu5+7+R3fTYz8XPwBAUlYS2lVrhw8e/QC9V/VGq6qtcOTOEWweshnd/+iOHU/uMB3z7t53853zXMI5rByw0qLMB49+UOBz42PzfwFYlM97LfNy5xLOoYF/A3zw6AcYun4oAECdrcbmIZsLPP5cwjnTc2OMxu3G50PXD0UD/waFxlGYguLLe7zx3KU5r7WKuu+lPc6cNeewl4LOm/c9ZK/zlmR/Sa5ZVvfC1muWJq7S/g7lrXxJzgcU/94eun6oxd+20l7jYb8PSqK8xlVepKSkICoqCgkJCfDz83N0OBUCm2hLQS6XAwBCQ0PtnuCp/FWmx66uroZtmSp4BnkiNDQUKn/DY1W2yvQ8NDTUdIxnkGe+c7pKrvnKFPbc+Nj8X+Pvmpf5PuNjV8kVnoGGY10DDPFrNJpCj3eVXE3PzWMwj9k1wHDOwuIoTEHx5T3eeO7SnNdaRd330h5nzppz2EtB5837HrLXeUuyvyTXLKt7Yes1SxNXaX+H8la+JOcDin9vuwa4ltl7zFHKa1zlhbGJ1vg5TMXjIAsiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInIzC0QFUJDqdDgCQkpJi/3Nn6EyPtXqtYVuWDpo0DVJSUqDLMDzWZehMz83j0KRp8p1Tm67NV6aw58bH5v8CBf+u5vuMj7XpWtOx2vSc+LN1hR5vLGN+DeN243PjOQuLozAFxZf3ePN4y1pR9720x5mz5hz2UtB5876H7HXekuwvyTUf1utd2muWJq7S/g7lrXxJzgcU/97O+7ettNd42O+DkiivcZUXxntj/Bym4klCCOHoICqKI0eOoHXr1o4Og4iIqFI6fPgwWrVq5egwKgQmeKWQmJgIf39/nDlzBt7e3vY9+WcNch5IAATgFghM2gOsmQzcPmXYFdzY8O/gbw3bjW6fMpQFDNsHf2t4/F3H/McM/taw3Xhu83MZjzOex/y85sfkPV/e8xoZr29+3rwx5jW/CfDqv7nXNx5f1DF59xVVtqgyeX+fksZs7b6SxmrP4+x9jaLeQ7Ze25rzlcV9seb9VZbx5D33w3gvFBdDSbc/DI68NpWZlJQUREVFISEhAX5+fo4Op0JgE20pyOVyAEBoaKj9EzxvY3fInATPQwGEhgIB7kBmzssU4I6cAHIfA4b9oaG5ZYyPfRX5jwkNNWw3f25exsh4XfNz5S1rfrz5eY2M1zffljfGvHzklr933msUJO++osoWVaaoa5Xm+iXdV9JY7Xmcva9R1HvI1mtbc76yuC/WvL/KMp68534Y74XiYijp9ofBkdemMmNsojV+DlPxOMiCiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIySgcHUBFotPpAAApKSn2P3mWMHsiALkeSEkB0rOBTL1hc3o2cgLIfQwY9htjSs/OfZypz39MSkpueeNz8zJGxuuanytvWfPjzc9rHpd5PObnLuweZub5vfNeoyB59xVVtqgyRV2rNNcv6b6SxmrP4+x9jaLeQ7Ze25rzlcV9seb9VZbx5D33w3gvFBdDSbc/DI68NpUZ4+eu8XOYiicJIUTxxQgAjhw5gtatWzs6DCIiokrp8OHDaNWqlaPDqBCY4JVCYmIi/P39cebMGXh7e9v13G3n7AAA+HsokZiWDT8PJTa+0gkA8H9/nMTZmyloGOKNszcN32IahnjjkyebmY7/vz9OAoDFtr5f7LYo939/nLTYb66gfebnNO43L1fU+YzXN/4OBW0v6PiO8/7GnmndTL9zYeWKir248vZU0mtZE1NZ/R6Fnbc8xViermvLtRx1fx4We76XiIqSkpKCqKgoJCQkwM/Pz9HhVAhsoi0FuVwOAAgNDbV7gqfwDgQAqDxVUMg1UHmqEBoaCgDw9L8FVZoLPP19oUpzydnma9pvLGOMzUjlE2RRztP/lsV+cwXtMz+ncb95uaLOZ7x+QfuN2ws6XukdaNqnSnMptFxRsRdX3p5Kei1rYiqr36Ow85anGMvTdW25lqPuz8Niz/cSUVGMTbTGz2EqHgdZEBERETkZJnhEREREToYJHhEREZGTYYJHRERE5GSY4BERERE5GSZ4RERERE6GCR4RERGRk2GCR0RERORkmOARERERORkmeEREREROhgkeERERkZNhgkdERETkZJjgERERETkZJnhEREREToYJHhEREZGTYYJHRERE5GSY4BERERE5GSZ4RERERE6GCR4RERGRk2GCR0RERORkmOARERERORkmeEREREROhgkeERERkZNhgkdERETkZJjgERERETkZJnhEREREToYJHhEREZGTYYJHRERE5GSY4BERERE5GSZ4RERERE6GCR4RERGRk2GCR0RERORkmOARERERORmFowOoSIQQAICUlBS7n1uflQ4A0Cmyoc/Khk6RbbqOJkMNXWYaNBkK6DLTcrYpLOLQZKjzxWY8xvw8hcVe0D7zcxr3m5cr6nzG6xe037i9oON1WemmfUWVKyr24srbU0mvZU1MZfV7FHbe8hRjebquLddy1P15WOz5XiIqivH9ZPwcpuJJgnerxOLj4xEWFuboMIiIiCqluLg4hIaGOjqMCoEJXino9XrcvHkTXl5ekCTJbudNSUlBWFgY4uLi4O3tbbfzUvF47x2H996xeP8dh/e+9IQQSE1NRUhICGQy9i4rCTbRloJMJivTbw7e3t78z+4gvPeOw3vvWLz/jsN7Xzo+Pj6ODqFCYRpMRERE5GSY4BERERE5GSZ45YCLiwtmzZoFFxcXR4dS6fDeOw7vvWPx/jsO7z09DBxkQURERORkWINHRERE5GSY4BERERE5GSZ4RERERE6GCR4RERGRk2GC50BHjhxB37594evrCw8PD7Rt2xYrVqxwdFjlVkREBCRJKvCnS5cu+cpnZWXh/fffR506deDq6oqQkBA899xzuHv3bqHX+N///ofWrVvDw8MDfn5+6N+/P44fP15oeWd7DZcuXYrnn38eLVu2hIuLCyRJwuLFiwstn5KSgqlTpyI8PBwuLi6IiIjAG2+8AbVaXWB5vV6Pr776Co0bN4abmxuCgoIwcuRIXLlypdBrbNmyBZ07d4aXlxe8vb3RtWtX7Nixo9DyFy9exLBhwxAYGAg3Nzc0bdoU3333Xblfw7I093727NmF/l+QJAmxsbEFHlfW97K074fy4MaNG5g/fz569uyJGjVqQKVSITg4GEOGDMGhQ4cKPIbve6oQBDnE33//LZRKpfDy8hLPPvusmDp1qggPDxcAxCeffOLo8Mql8PBw4ePjI2bNmpXvZ9GiRRZldTqd6NWrlwAg2rZtK6ZNmyaeeOIJIUmSiIyMFHfv3s13/g8//FAAEOHh4WLq1Kni2WefFV5eXsLFxUXs3bs3X3lnfA2N8QcGBpoe5723Rmq1WjRr1kwAED179hTTpk0TPXv2FABEq1atREZGRr5jnnnmGQFAREVFiTfffFOMHj1aqFQq4e/vLy5evJiv/K+//ioAiKCgIDFlyhQxZcoUERQUJCRJEn/88Ue+8mfOnBE+Pj5CpVKJ0aNHizfffFNERUUJAGLKlCk235+yVJp7P2vWLAFAjBs3rsD/D4mJifmOKet7ac37oTyYNm2aACBq1aolJk6cKKZPny6GDBki5HK5kMlk4vfff7coz/c9VRRM8BwgOztb1KpVS7i4uIgTJ06YticlJYm6desKlUolYmNjHRdgORUeHi7Cw8NLVHbhwoUCgBg5cqTQ6/Wm7d99950AIJ577jmL8hcvXhQKhULUrVtXJCUlmbafOHFCuLi4iAYNGgidTmfa7qyv4bZt20xxz507t8gkY+bMmQKAmDZtmsV24wfmnDlzLLb//fffAoDo1KmTyMrKMm3fuHGj6cPSXEJCgvD19RWBgYEiLi7OtD0uLk4EBgaKwMBAkZKSYnFMp06dBACxceNG07asrCzRsWNHAUDs37+/5DfjISvNvTcmeDt37izRuR/GvSzt+6G8WLVqlYiOjs63fffu3UKpVAo/Pz+RmZlp2s73PVUUTPAcYMuWLQKAmDBhQr59ixcvFgDEe++954DIyrfSJHjt2rUTAPIlWXq9XkRGRgoPDw+Rnp5u2j5jxgwBQCxZsiTfucaPHy8AiF27dpm2VYbXsKgkQ6/Xi5CQEOHp6SnUarXFPrVaLTw9PUVkZKTF9pEjR+a7j0ZdunQRAMS1a9dM2xYsWFDofZw9e3a+1+vChQsCgOjatWu+8tHR0YW+XuWRvRO8sr6X1rwfKgJjzdyRI0eEEHzfU8XCPngOEB0dDQDo2bNnvn29evUCAOzatethhlRhZGVlYfHixZgzZw6+/vrrAvvIZGZm4tChQ6hXrx7Cw8Mt9kmShB49eiAtLQ1Hjx41bS/ta1LZX8OYmBjcvHkTHTp0gIeHh8U+Dw8PdOjQAVeuXEFcXJxpe3R0tGlfXva4x0WVf/TRR+Hh4eF0r8nu3bsxb948fPzxx1i7dm2hfcDK+l5a836oCJRKJQBAoVAA4PueKhYmeA4QExMDAKhTp06+fcHBwfD09DSVIUu3b9/GhAkT8Pbbb+Oll15C27Zt0bp1a1y+fNlU5vLly9Dr9QXeXyD3vpvf45iYGHh6eiI4OLjE5c33masMr2FRv7/5dmO5tLQ03Lp1CzVr1oRcLi+2fHHXKG15uVyOmjVrIjY2FlqttpjfruKYNWsWpk+fjjfffBODBw9GWFgYfvnll3zlyvpelvb9UBFcv34d27dvR7Vq1dC4cWMAfN9TxcIEzwGSk5MBAD4+PgXu9/b2NpWhXBMmTMCOHTtw584dpKWl4cSJExgzZgyOHDmC7t27IzU1FUDJ7q95OePj0pYv7hrO/BqW9h5b+5oUdoy1r4lerze9Tyqypk2bYuHChbhy5QoyMjJw9epVfPXVV5AkCePHj8f69estypf1vbTm9S3PsrOzMWbMGGRlZWHevHmm5Izve6pIFI4OgKikZs2aZfG8WbNmptqKX3/9FT/++COmTp3qiNCIHqrBgwdbPI+IiMCUKVPQoEED9OjRA++88w4GDBjgoOgqNr1ej/Hjx2P37t149tlnMWbMGEeHRGQV1uA5gPGbVmHfZlNSUgr9Nkb5Pf/88wCAffv2ASjZ/TUvZ3xc2vLFXcOZX8PS3mNrX5PCjrH2NZEkCV5eXgXudwbdu3dHrVq1cOrUKdM9Asr+Xlrz+pZHer0eTz/9NJYtW4bRo0fj+++/t9jP9z1VJEzwHKCo/ii3b9+GWq0utI8H5RcYGAjA0N8FACIjIyGTyQrt71NQn5U6depArVbj9u3bJS5vvs9cZXgNi+tTlfeeeXh4oFq1arh69Sp0Ol2x5Yu7RmnL63Q6XL16FTVr1jR1mHdWxv8P6enppm1lfS9L+34oj/R6PSZMmIAlS5Zg5MiRWLx4MWQyy49Ivu+pImGC5wCdO3cGAGzdujXfvi1btliUoeIZR9JGREQAANzc3NC6dWtcuHAB165dsygrhMC2bdvg4eGBli1bmraX9jWp7K9hnTp1EBISgn379pkSa6O0tDTs27cPNWvWRFhYmGl7586dTfvyMt6zTp06WZQH7POa7N27F2lpaU79mgCGe3/mzBl4eHiYEj2g7O+lNe+H8sSY3P3yyy8YPnw4fv3110IHRfB9TxWGo+dpqYyys7NFZGRkkZPkXr161WHxlUfnzp0TaWlpBW4PDg7ON89UaSc6vnDhQqknOnb217A8THTs4+Nj1wlf9+3bV6p74ChF3fuUlBRx4cKFfNvT09NNc67lnffsYdzLijrRsU6nE+PGjRMAxJNPPimys7OLLM/3PVUUTPAcxBmXuSpLs2bNEl5eXqJfv35i8uTJ4o033hADBw4USqVSABAzZsywKF/QUmVDhgwRkiSJmjVrcqmyQvz4449i3LhxYty4caJFixYCgOjQoYNp248//mgqq1arRdOmTU0fUtOnT7dYssl8ImmjvEs2jRkzxrRkU0FJS1FLNq1YsSJf+dOnT5uWbBozZkyFWrKppPf+6tWrQpIk0bp1azFu3Dgxbdo0MX78eBEaGioAiMaNG4v79+/nO39Z30tr3g/lgXHSaE9PT/H2228XuPSb+Zc4vu+pomCC50CHDh0SvXv3Ft7e3sLNzU20bt0637qHZBAdHS2GDRsm6tSpI7y9vYVCoRDBwcFi4MCBYsuWLQUek5mZKWbPni1q1aolVCqVCA4OFs8884y4fft2oddZunSpaNmypXBzcxM+Pj6ib9++4tixY4WWd7bX0FiTUdjPuHHjLMonJSWJV199VYSFhQmlUilq1KghXn/99Xw1DEY6nU588cUXIioqSri4uIiAgAAxfPhwcenSpUJj2rRpk+jYsaPw8PAQnp6eonPnzmLbtm2Flj9//rwYOnSo8Pf3Fy4uLqJx48bim2++sajJLY9Keu+Tk5PFiy++KFq1aiWCgoKEQqEQXl5eonXr1uKjjz4qMpEq63tZ2vdDeVDcfS+oJpXve6oIJCGEsK2Rl4iIiIjKEw6yICIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjqoRu3bqFuXPnok+fPqhRowY8PT2hVCrh6+uLRo0aYdiwYfjyyy9x/fp1R4f60ERERECSpHw/MpkMXl5eqF+/PsaMGYMdO3Y4OtR8YmNjLWLu0qWLo0MiIgfjShZElYhGo8Hbb7+NL774AtnZ2cWWlyQJ2dnZkMvlDyE6x4qIiMC1a9dKVPa1117DZ599VsYRlVxsbCxq1qxpet65c2dER0c7LiAicjiFowMgoocjMzMTvXv3xq5duyy2q1QqNG/eHFWrVkVGRgYuX76MK1euAACEYb1qR4TrcJ06dUJQUBBSUlJw9OhRJCYmmvZ9/vnnGDp0KNq3b+/ACImICscEj6iSmDJlSr7kburUqXj33Xfh6+trsf3WrVv4/fffMX/+/IcXYDnz3nvvmZo6k5OT0aJFC1PiCwAbN25kgkdE5Rb74BFVAqdPn8aiRYsstr377rv49NNP8yV3AFCtWjW89tpruHTpEhSK/N8DhRD4888/MWzYMERERMDNzQ3u7u6oV68eJk2ahPPnzxcYR5cuXSz6isXGxuLvv/9Gv3794O/vD1dXV0RFReHzzz8vtObQ2mvbwsfHB/3797fYdv/+/Xzlli5dimeffRZt2rRBjRo14OXlBaVSiYCAALRr1w4zZ87EnTt3CryG+X2JiIiAXq/HTz/9hLZt28LT0xOenp7o2LEjNm3aVOr4N2zYABcXF9P5vb298ffff5f6PERUgQgicnpvv/22AGD6CQoKEhkZGVadKyUlRfTp08fifHl/lEql+P777/Md27lzZ4tyY8eOLfQcr7zyil2vXZzw8HCL8+zcudNi/0svvWSx/7333st3jqioqCJjAyD8/f3FiRMn8h1rXqZq1aqiZ8+eBR4vSZJYvXq1xbFXr161KNO5c2fTvtWrVwulUmnaFxgYKI4cOVLq+0NEFQtr8Igqgf3791s87969O1xdXa0618iRIy1qkYKCgtC7d2907doVKpUKAJCdnY1JkyYVW9v0yy+/wNPTE926dUPt2rUt9n311VeIi4srs2uXRmJiIjZs2GB6LkkSBg0aVGBZV1dXNGvWDN26dcPAgQPRo0cPhISEmPYnJCRgwoQJRV7vzp072Lp1K6pVq4YePXogMDDQtE8IgWnTppUo7pUrV2LYsGGmATVhYWHYs2cPWrZsWaLjiagCc3SGSURlr2HDhhY1PNOmTctXpnr16gXWGI0bN85UZvv27Rb7BgwYILKyskz7L1y4IDw9PU37GzVqZHGNvDV44eHhIjY2VgghRHZ2tujevbvF/iVLltjt2sXJW4PXqVMnMWTIENGjRw/h6+trse/DDz8s8Bz//vuvRUxGOp1ODBs2zOIc586dsyiT97737t1bpKenCyGEuH37tqhSpYrF/mvXrpmOLagG77fffhMKhcK0rV69euL69euluidEVHFxkAURldiaNWssnt+/fx+jRo2y2KZUKk2PT58+jdjYWERERBR4vunTpyM8PBwAoFAo0LdvX4t55m7cuFFm1y7O7t27822rUqUKli1bhu7duxd4TM2aNfHNN9/gr7/+wrlz55CQkIDMzMwCy54/fx7169cv9Pqff/453NzcAABVq1ZFmzZtLGoRb9y4gRo1ahR4d3Km9QAABFlJREFU7KlTpzB69GjodDoAQMuWLbFp0yaLmkAicm5M8IgqgapVq+Ls2bOm5wVNYNyvXz88ePAA165dw9GjRws8z9WrVy2e5236LeyYwpKsVq1aWTz38fGxeJ6VlVVm17bG3bt3MWnSJGzdujXfee/evYtHH30UMTExJTpXcnJyofs8PT3zJX9F3Zu8EhISTI/d3d2xYcMGJndElQz74BFVAnmn8/j777/zTXS8YMECrFy5Ei+++KJdr52WllbovoCAAIvn9p5QuahrF2fnzp3QaDQ4duwYWrRoYdoeExODIUOGmGrHjN5//32L5E6hUKBDhw4YPHgwhgwZggYNGliUF0XML5j3vgDW35v09HSMGjUKGRkZVh1PRBUTEzyiSmD48OGQJMn0/M6dO/j8889LfR7z1RIA4PfffzdNhlzYT97pRazliGsrlUq0aNEC69evh6enp2n78ePH8fPPP1uU3bNnj8Xzffv2Ye/evVi9ejVWrlyJjh072hRLabRp0wZdu3Y1Pd+5cycef/xxJnlElQgTPKJKoHHjxhg7dqzFthkzZuCDDz4o1Yf+gAEDLJ6/++67+ZpOAUP/sG+++QYvvfSSdQGXs2tXr14dr7/+usW2Dz74wKKZNG+NqLu7u+nxgQMHsHTpUrvFUxxXV1esX78ebdu2NW3bsWMHBg0aVGifQCJyLkzwiCqJ7777Du3atTM91+v1mDlzJoKCgtClSxcMGjQInTt3xuTJkws9R8+ePdGjRw/T85iYGNSpUwetW7c2TQlSs2ZNhIaGYsqUKTh16pTd4nfktQHg1VdftZgUOj4+Hj/++KPpuXkyBQDt2rVDnz590KFDBzz66KMPvfbM09MTmzZtQrNmzUzbtm7disGDBxfZf4+InAMTPKJKws3NDX///TcmT55s0Z8rLS0Nu3btwrp167B7926LREShUKBOnToW51m5ciV69epleq7T6XDkyBGsX78e27dvR2xsrMXx9uTIa/v6+uK1116z2DZ37lxTjdi7775r0XdOrVZj8+bN2L9/P2rWrIkXXnjBrvGUhK+vL7Zu3WoxYGPz5s144oknoNFoHno8RPTwMMEjqkRcXV3xzTff4NKlS5g5cyY6d+6M4OBguLi4QKVSITAwEI888gjGjh2Ln3/+GTdu3MDbb79tcQ5vb29s3rwZf/31F0aNGoVatWrB3d0dcrkcfn5+aN68OSZOnIjff/8d69evt2v8jrw2YKjF8/PzMz2/efMmFixYAMDQR/DIkSMYNWoUAgMDoVQqER4ejpdffhlHjhxBlSpV7B5PSQQFBWH79u0WfRg3btyIIUOGMMkjcmKSKGooFxERERFVOKzBIyIiInIyTPCIiIiInAwTPCIiIiInwwSPiIiIyMkwwSMiIiJyMkzwiIiIiJwMEzwiIiIiJ8MEj4iIiMjJMMEjIiIicjJM8IiIiIicDBM8IiIiIifDBI+IiIjIyTDBIyIiInIy/w+mF0kKHrtO5AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x550 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axs = pre_res.plot(terms=terms[1:5], \n",
    "                   #legend_kws={'loc': (1.2, 0)}, # set the legend loc\n",
    "                   show_ranking=True, # whether to show the second yaxis\n",
    "                   figsize=(3,4)\n",
    "                  )\n",
    "# or use this to have more control on the plot\n",
    "# from gseapy import gseaplot2\n",
    "# terms = pre_res.res2d.Term[1:5]\n",
    "# hits = [pre_res.results[t]['hits'] for t in terms]\n",
    "# runes = [pre_res.results[t]['RES'] for t in terms]\n",
    "# fig = gseaplot2(terms=terms, ress=runes, hits=hits, \n",
    "#               rank_metric=gs_res.ranking, \n",
    "#               legend_kws={'loc': (1.2, 0)}, # set the legend loc\n",
    "#               figsize=(4,5)) # rank_metric=pre_res.ranking "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`dotplot` for GSEA resutls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/fangzq/Github/GSEApy/gseapy/plot.py:738: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  df[self.colname] = df[self.colname].replace(0, np.nan).bfill()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from gseapy import dotplot\n",
    "# to save your figure, make sure that ``ofname`` is not None\n",
    "ax = dotplot(pre_res.res2d, \n",
    "             column=\"FDR q-val\",\n",
    "             title='KEGG_2016',\n",
    "             cmap=plt.cm.viridis, \n",
    "             size=6, # adjust dot size\n",
    "             figsize=(4,5), cutoff=0.25, show_ring=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Network Visualization\n",
    "\n",
    "- use `enrichment_map` to build network\n",
    "- save the `nodes` and `edges`. They could be used for `cytoscape` visualization.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/fangzq/Github/GSEApy/gseapy/plot.py:738: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  df[self.colname] = df[self.colname].replace(0, np.nan).bfill()\n"
     ]
    }
   ],
   "source": [
    "from gseapy import enrichment_map\n",
    "# return two dataframe\n",
    "nodes, edges = enrichment_map(pre_res.res2d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build graph\n",
    "G = nx.from_pandas_edgelist(edges, \n",
    "                            source='src_idx', \n",
    "                            target='targ_idx', \n",
    "                            edge_attr=['jaccard_coef', 'overlap_coef', 'overlap_genes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "# init node cooridnates\n",
    "pos=nx.layout.spiral_layout(G)\n",
    "#node_size = nx.get_node_attributes()\n",
    "# draw node\n",
    "nx.draw_networkx_nodes(G, \n",
    "                       pos=pos, \n",
    "                       cmap=plt.cm.RdYlBu, \n",
    "                       node_color=list(nodes.NES),\n",
    "                       node_size=list(nodes.Hits_ratio *1000))\n",
    "# draw node label\n",
    "nx.draw_networkx_labels(G, \n",
    "                        pos=pos, \n",
    "                        labels=nodes.Term.to_dict())\n",
    "# draw edge\n",
    "edge_weight = nx.get_edge_attributes(G, 'jaccard_coef').values()\n",
    "nx.draw_networkx_edges(G, \n",
    "                       pos=pos, \n",
    "                       width=list(map(lambda x: x*10, edge_weight)), \n",
    "                       edge_color='#CDDBD4')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "5eb96091-8a46-4f40-b5e6-d614be61d8f8"
    }
   },
   "source": [
    "### Command line usage "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "6d1d1e0f-5cff-4b36-bf17-ea673072466a"
    }
   },
   "source": [
    "You may also want to use prerank in command line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !gseapy prerank -r temp.rnk -g temp.gmt -o prerank_report_temp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "e131526a-2501-4546-b82b-49037c1397c0"
    }
   },
   "source": [
    "## GSEA Example\n",
    "\n",
    "\n",
    "### Inputs \n",
    "\n",
    "Assign gsea() \n",
    "\n",
    "- data with: \n",
    "  - pandas DataFrame\n",
    "  - .gct format file, or a text file\n",
    "\n",
    "- cls with: \n",
    "  - a list\n",
    "  - a .cls format file \n",
    "\n",
    "- gene_sets with:\n",
    "\n",
    "```python\n",
    "    gene_sets=\"KEGG_2016\",\n",
    "    gene_sets=\"KEGG_2016,KEGG2013\",\n",
    "    gene_sets=\"./data/genes.gmt\",\n",
    "    gene_sets=[\"KEGG_2016\",\"./data/genes.gmt\"],\n",
    "    gene_sets={'A':['gene1', 'gene2',...],\n",
    "               'B':['gene2', 'gene4',...],\n",
    "               ...}\n",
    "```\n",
    "\n",
    "\n",
    "#### NOTE: UPCASES for gene symbols by Default\n",
    "\n",
    "1. Gene symbols are all \"UPCASES\" in the Enrichr Libaries. You should convert your input gene identifier to \"UPCASES\" first.\n",
    "2. If input `gmt`, `dict` object, please refer to `1.2 Mouse gene symbols maps to Human, or Vice Versa` (in this page) to convert gene identifier\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gseapy as gp\n",
    "phenoA, phenoB, class_vector =  gp.parser.gsea_cls_parser(\"./tests/extdata/Leukemia.cls\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'ALL', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML', 'AML']\n"
     ]
    }
   ],
   "source": [
    "#class_vector used to indicate group attributes for each sample\n",
    "print(class_vector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene</th>\n",
       "      <th>NAME</th>\n",
       "      <th>ALL_1</th>\n",
       "      <th>ALL_2</th>\n",
       "      <th>ALL_3</th>\n",
       "      <th>ALL_4</th>\n",
       "      <th>ALL_5</th>\n",
       "      <th>ALL_6</th>\n",
       "      <th>ALL_7</th>\n",
       "      <th>ALL_8</th>\n",
       "      <th>...</th>\n",
       "      <th>AML_15</th>\n",
       "      <th>AML_16</th>\n",
       "      <th>AML_17</th>\n",
       "      <th>AML_18</th>\n",
       "      <th>AML_19</th>\n",
       "      <th>AML_20</th>\n",
       "      <th>AML_21</th>\n",
       "      <th>AML_22</th>\n",
       "      <th>AML_23</th>\n",
       "      <th>AML_24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MAPK3</td>\n",
       "      <td>1000_at</td>\n",
       "      <td>1633.6</td>\n",
       "      <td>2455.0</td>\n",
       "      <td>866.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>3159.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>1580.0</td>\n",
       "      <td>1955.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1826.0</td>\n",
       "      <td>2849.0</td>\n",
       "      <td>2980.0</td>\n",
       "      <td>1442.0</td>\n",
       "      <td>3672.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>2188.0</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>1934.0</td>\n",
       "      <td>13154.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TIE1</td>\n",
       "      <td>1001_at</td>\n",
       "      <td>284.4</td>\n",
       "      <td>159.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>1187.0</td>\n",
       "      <td>647.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>1224.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1556.0</td>\n",
       "      <td>893.0</td>\n",
       "      <td>1278.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>941.0</td>\n",
       "      <td>1398.0</td>\n",
       "      <td>-502.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CYP2C19</td>\n",
       "      <td>1002_f_at</td>\n",
       "      <td>285.8</td>\n",
       "      <td>114.0</td>\n",
       "      <td>429.0</td>\n",
       "      <td>-43.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>-88.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-177.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-359.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-464.0</td>\n",
       "      <td>-127.0</td>\n",
       "      <td>-279.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>509.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CXCR5</td>\n",
       "      <td>1003_s_at</td>\n",
       "      <td>-126.6</td>\n",
       "      <td>-388.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>-915.0</td>\n",
       "      <td>-439.0</td>\n",
       "      <td>-371.0</td>\n",
       "      <td>-448.0</td>\n",
       "      <td>-862.0</td>\n",
       "      <td>...</td>\n",
       "      <td>237.0</td>\n",
       "      <td>-834.0</td>\n",
       "      <td>-1940.0</td>\n",
       "      <td>-684.0</td>\n",
       "      <td>-1236.0</td>\n",
       "      <td>-1561.0</td>\n",
       "      <td>-895.0</td>\n",
       "      <td>-1016.0</td>\n",
       "      <td>-2238.0</td>\n",
       "      <td>-1362.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CXCR5</td>\n",
       "      <td>1004_at</td>\n",
       "      <td>-83.3</td>\n",
       "      <td>33.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>...</td>\n",
       "      <td>86.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>487.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>-153.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>439.0</td>\n",
       "      <td>386.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Gene       NAME   ALL_1   ALL_2  ALL_3   ALL_4   ALL_5   ALL_6   ALL_7  \\\n",
       "0    MAPK3    1000_at  1633.6  2455.0  866.0  1000.0  3159.0  1998.0  1580.0   \n",
       "1     TIE1    1001_at   284.4   159.0  173.0   216.0  1187.0   647.0   352.0   \n",
       "2  CYP2C19  1002_f_at   285.8   114.0  429.0   -43.0    18.0   366.0   119.0   \n",
       "3    CXCR5  1003_s_at  -126.6  -388.0  143.0  -915.0  -439.0  -371.0  -448.0   \n",
       "4    CXCR5    1004_at   -83.3    33.0  195.0    85.0    54.0    -6.0    55.0   \n",
       "\n",
       "    ALL_8  ...  AML_15  AML_16  AML_17  AML_18  AML_19  AML_20  AML_21  \\\n",
       "0  1955.0  ...  1826.0  2849.0  2980.0  1442.0  3672.0   294.0  2188.0   \n",
       "1  1224.0  ...  1556.0   893.0  1278.0   301.0   797.0   248.0   167.0   \n",
       "2   -88.0  ...  -177.0    64.0  -359.0    68.0     2.0  -464.0  -127.0   \n",
       "3  -862.0  ...   237.0  -834.0 -1940.0  -684.0 -1236.0 -1561.0  -895.0   \n",
       "4   101.0  ...    86.0    -5.0   487.0   102.0    33.0  -153.0   -50.0   \n",
       "\n",
       "   AML_22  AML_23   AML_24  \n",
       "0  1245.0  1934.0  13154.0  \n",
       "1   941.0  1398.0   -502.0  \n",
       "2  -279.0   301.0    509.0  \n",
       "3 -1016.0 -2238.0  -1362.0  \n",
       "4   257.0   439.0    386.0  \n",
       "\n",
       "[5 rows x 50 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gene_exp = pd.read_csv(\"./tests/extdata/Leukemia_hgu95av2.trim.txt\", sep=\"\\t\")\n",
    "gene_exp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "positively correlated:  ALL\n"
     ]
    }
   ],
   "source": [
    "print(\"positively correlated: \", phenoA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "negtively correlated:  AML\n"
     ]
    }
   ],
   "source": [
    "print(\"negtively correlated: \", phenoB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-02-04 15:48:13,712 [WARNING] Found duplicated gene names, values averaged by gene names!\n"
     ]
    }
   ],
   "source": [
    "# run gsea\n",
    "# enrichr libraries are supported by gsea module. Just provide the name\n",
    "gs_res = gp.gsea(data=gene_exp, # or data='./P53_resampling_data.txt'\n",
    "                 gene_sets='./tests/extdata/h.all.v7.0.symbols.gmt', # or enrichr library names\n",
    "                 cls= \"./tests/extdata/Leukemia.cls\", # cls=class_vector\n",
    "                 # set permutation_type to phenotype if samples >=15\n",
    "                 permutation_type='phenotype', \n",
    "                 permutation_num=1000, # reduce number to speed up test\n",
    "                 outdir=None,  # do not write output to disk\n",
    "                 method='signal_to_noise',\n",
    "                 threads=4, seed= 7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can set `pheno_pos`, and `pheno_neg` mannually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-02-04 15:48:15,353 [WARNING] Found duplicated gene names, values averaged by gene names!\n"
     ]
    }
   ],
   "source": [
    "# example\n",
    "from gseapy import GSEA\n",
    "gs = GSEA(data=gene_exp,\n",
    "         gene_sets='KEGG_2016', \n",
    "         classes = class_vector, # cls=class_vector\n",
    "         # set permutation_type to phenotype if samples >=15\n",
    "         permutation_type='phenotype', \n",
    "         permutation_num=1000, # reduce number to speed up test\n",
    "         outdir=None, \n",
    "         method='signal_to_noise',\n",
    "         threads=4, seed= 8)\n",
    "gs.pheno_pos = \"AML\"\n",
    "gs.pheno_neg = \"ALL\"\n",
    "gs.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show the gsea plots\n",
    "\n",
    "The **gsea** module will generate heatmap for genes in each gene sets in the backgroud.  \n",
    "But if you need to do it yourself, use the code below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x550 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "terms = gs_res.res2d.Term\n",
    "axs = gs_res.plot(terms[:5], show_ranking=False, legend_kws={'loc': (1.05, 0)}, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# or use \n",
    "# from gseapy import gseaplot2\n",
    "\n",
    "# # multi in one\n",
    "# terms = gs_res.res2d.Term[:5]\n",
    "# hits = [gs_res.results[t]['hits'] for t in terms]\n",
    "# runes = [gs_res.results[t]['RES'] for t in terms]\n",
    "# fig = gseaplot2(terms=terms, ress=runes, hits=hits, \n",
    "#               rank_metric=gs_res.ranking, \n",
    "#               legend_kws={'loc': (1.2, 0)}, # set the legend loc\n",
    "#               figsize=(4,5)) # rank_metric=pre_res.ranking "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from gseapy import heatmap\n",
    "# plotting heatmap\n",
    "i = 2\n",
    "genes = gs_res.res2d.Lead_genes[i].split(\";\")\n",
    "# Make sure that ``ofname`` is not None, if you want to save your figure to disk\n",
    "ax = heatmap(df = gs_res.heatmat.loc[genes], z_score=0, title=terms[i], figsize=(14,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ALL_1</th>\n",
       "      <th>ALL_2</th>\n",
       "      <th>ALL_3</th>\n",
       "      <th>ALL_4</th>\n",
       "      <th>ALL_5</th>\n",
       "      <th>ALL_6</th>\n",
       "      <th>ALL_7</th>\n",
       "      <th>ALL_8</th>\n",
       "      <th>ALL_9</th>\n",
       "      <th>ALL_10</th>\n",
       "      <th>...</th>\n",
       "      <th>AML_15</th>\n",
       "      <th>AML_16</th>\n",
       "      <th>AML_17</th>\n",
       "      <th>AML_18</th>\n",
       "      <th>AML_19</th>\n",
       "      <th>AML_20</th>\n",
       "      <th>AML_21</th>\n",
       "      <th>AML_22</th>\n",
       "      <th>AML_23</th>\n",
       "      <th>AML_24</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gene</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LEF1</th>\n",
       "      <td>8544.10</td>\n",
       "      <td>12552.0</td>\n",
       "      <td>2869.0</td>\n",
       "      <td>15265.0</td>\n",
       "      <td>7446.0</td>\n",
       "      <td>6991.0</td>\n",
       "      <td>15520.0</td>\n",
       "      <td>13114.0</td>\n",
       "      <td>22604.0</td>\n",
       "      <td>21795.0</td>\n",
       "      <td>...</td>\n",
       "      <td>682.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>-348.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>-242.0</td>\n",
       "      <td>-47.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SKP2</th>\n",
       "      <td>23.80</td>\n",
       "      <td>-45.0</td>\n",
       "      <td>-95.0</td>\n",
       "      <td>-71.0</td>\n",
       "      <td>-65.0</td>\n",
       "      <td>-547.0</td>\n",
       "      <td>-24.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>-162.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-865.0</td>\n",
       "      <td>-642.0</td>\n",
       "      <td>-1005.0</td>\n",
       "      <td>-413.0</td>\n",
       "      <td>-733.0</td>\n",
       "      <td>-812.0</td>\n",
       "      <td>-464.0</td>\n",
       "      <td>-490.0</td>\n",
       "      <td>-333.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CUL1</th>\n",
       "      <td>1712.75</td>\n",
       "      <td>3309.0</td>\n",
       "      <td>1273.5</td>\n",
       "      <td>1726.5</td>\n",
       "      <td>947.5</td>\n",
       "      <td>2160.0</td>\n",
       "      <td>2065.0</td>\n",
       "      <td>2524.5</td>\n",
       "      <td>1882.5</td>\n",
       "      <td>2684.5</td>\n",
       "      <td>...</td>\n",
       "      <td>851.5</td>\n",
       "      <td>614.5</td>\n",
       "      <td>1560.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>952.0</td>\n",
       "      <td>935.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1214.5</td>\n",
       "      <td>770.0</td>\n",
       "      <td>2088.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HDAC2</th>\n",
       "      <td>4542.90</td>\n",
       "      <td>6030.0</td>\n",
       "      <td>1195.0</td>\n",
       "      <td>9368.0</td>\n",
       "      <td>2281.0</td>\n",
       "      <td>3407.0</td>\n",
       "      <td>3175.0</td>\n",
       "      <td>3962.0</td>\n",
       "      <td>2616.0</td>\n",
       "      <td>6848.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1072.0</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>1545.0</td>\n",
       "      <td>1653.0</td>\n",
       "      <td>2328.0</td>\n",
       "      <td>1061.0</td>\n",
       "      <td>1571.0</td>\n",
       "      <td>1749.0</td>\n",
       "      <td>2942.0</td>\n",
       "      <td>1174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GNAI1</th>\n",
       "      <td>588.50</td>\n",
       "      <td>163.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>882.0</td>\n",
       "      <td>1317.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>518.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1136.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>...</td>\n",
       "      <td>470.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>-163.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>684.0</td>\n",
       "      <td>-331.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>-94.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAML1</th>\n",
       "      <td>871.40</td>\n",
       "      <td>1871.0</td>\n",
       "      <td>578.0</td>\n",
       "      <td>1589.0</td>\n",
       "      <td>1448.0</td>\n",
       "      <td>1364.0</td>\n",
       "      <td>2494.0</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>1538.0</td>\n",
       "      <td>1946.0</td>\n",
       "      <td>...</td>\n",
       "      <td>390.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>1075.0</td>\n",
       "      <td>962.0</td>\n",
       "      <td>997.0</td>\n",
       "      <td>1316.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>609.0</td>\n",
       "      <td>2090.0</td>\n",
       "      <td>1056.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WNT1</th>\n",
       "      <td>-872.50</td>\n",
       "      <td>-875.0</td>\n",
       "      <td>-1012.0</td>\n",
       "      <td>-535.0</td>\n",
       "      <td>-654.0</td>\n",
       "      <td>-694.0</td>\n",
       "      <td>-421.0</td>\n",
       "      <td>-827.0</td>\n",
       "      <td>-770.0</td>\n",
       "      <td>-1001.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-2506.0</td>\n",
       "      <td>-2791.0</td>\n",
       "      <td>-2249.0</td>\n",
       "      <td>-1201.0</td>\n",
       "      <td>-1819.0</td>\n",
       "      <td>-2599.0</td>\n",
       "      <td>-995.0</td>\n",
       "      <td>-1861.0</td>\n",
       "      <td>-1835.0</td>\n",
       "      <td>-714.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HDAC5</th>\n",
       "      <td>2137.20</td>\n",
       "      <td>2374.0</td>\n",
       "      <td>1651.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>3132.0</td>\n",
       "      <td>2279.0</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>2349.0</td>\n",
       "      <td>2376.0</td>\n",
       "      <td>5455.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1215.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>1368.0</td>\n",
       "      <td>1923.0</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>2872.0</td>\n",
       "      <td>848.0</td>\n",
       "      <td>1629.0</td>\n",
       "      <td>2763.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AXIN1</th>\n",
       "      <td>-433.50</td>\n",
       "      <td>-722.0</td>\n",
       "      <td>-808.0</td>\n",
       "      <td>-623.0</td>\n",
       "      <td>-1167.0</td>\n",
       "      <td>-326.0</td>\n",
       "      <td>448.0</td>\n",
       "      <td>-661.0</td>\n",
       "      <td>-1315.0</td>\n",
       "      <td>-1991.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-2590.0</td>\n",
       "      <td>-2417.0</td>\n",
       "      <td>-1321.0</td>\n",
       "      <td>-466.0</td>\n",
       "      <td>-1628.0</td>\n",
       "      <td>-1910.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-2951.0</td>\n",
       "      <td>-1666.0</td>\n",
       "      <td>471.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ALL_1    ALL_2   ALL_3    ALL_4   ALL_5   ALL_6    ALL_7    ALL_8  \\\n",
       "Gene                                                                         \n",
       "LEF1   8544.10  12552.0  2869.0  15265.0  7446.0  6991.0  15520.0  13114.0   \n",
       "SKP2     23.80    -45.0   -95.0    -71.0   -65.0  -547.0    -24.0    230.0   \n",
       "CUL1   1712.75   3309.0  1273.5   1726.5   947.5  2160.0   2065.0   2524.5   \n",
       "HDAC2  4542.90   6030.0  1195.0   9368.0  2281.0  3407.0   3175.0   3962.0   \n",
       "GNAI1   588.50    163.0   364.0    882.0  1317.0    17.0    518.0     89.0   \n",
       "MAML1   871.40   1871.0   578.0   1589.0  1448.0  1364.0   2494.0   1989.0   \n",
       "WNT1   -872.50   -875.0 -1012.0   -535.0  -654.0  -694.0   -421.0   -827.0   \n",
       "HDAC5  2137.20   2374.0  1651.0   2012.0  3132.0  2279.0   2314.0   2349.0   \n",
       "AXIN1  -433.50   -722.0  -808.0   -623.0 -1167.0  -326.0    448.0   -661.0   \n",
       "\n",
       "         ALL_9   ALL_10  ...  AML_15  AML_16  AML_17  AML_18  AML_19  AML_20  \\\n",
       "Gene                     ...                                                   \n",
       "LEF1   22604.0  21795.0  ...   682.0   152.0  -348.0    30.0   210.0   350.0   \n",
       "SKP2     159.0   -162.0  ...  -865.0  -642.0 -1005.0  -413.0  -733.0  -812.0   \n",
       "CUL1    1882.5   2684.5  ...   851.5   614.5  1560.0   523.0   952.0   935.0   \n",
       "HDAC2   2616.0   6848.0  ...  1072.0  1918.0  1545.0  1653.0  2328.0  1061.0   \n",
       "GNAI1   1136.0    816.0  ...   470.0   313.0  -163.0   210.0   684.0  -331.0   \n",
       "MAML1   1538.0   1946.0  ...   390.0   233.0  1075.0   962.0   997.0  1316.0   \n",
       "WNT1    -770.0  -1001.0  ... -2506.0 -2791.0 -2249.0 -1201.0 -1819.0 -2599.0   \n",
       "HDAC5   2376.0   5455.0  ...  1215.0  1024.0   760.0  1368.0  1923.0  1927.0   \n",
       "AXIN1  -1315.0  -1991.0  ... -2590.0 -2417.0 -1321.0  -466.0 -1628.0 -1910.0   \n",
       "\n",
       "       AML_21  AML_22  AML_23  AML_24  \n",
       "Gene                                   \n",
       "LEF1   -242.0   -47.0   176.0    14.0  \n",
       "SKP2   -464.0  -490.0  -333.0     7.0  \n",
       "CUL1    646.0  1214.5   770.0  2088.5  \n",
       "HDAC2  1571.0  1749.0  2942.0  1174.0  \n",
       "GNAI1   115.0    55.0   -80.0   -94.0  \n",
       "MAML1    48.0   609.0  2090.0  1056.0  \n",
       "WNT1   -995.0 -1861.0 -1835.0  -714.0  \n",
       "HDAC5  2872.0   848.0  1629.0  2763.0  \n",
       "AXIN1    93.0 -2951.0 -1666.0   471.0  \n",
       "\n",
       "[9 rows x 48 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs_res.heatmat.loc[genes]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/fangzq/Github/GSEApy/gseapy/plot.py:738: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  df[self.colname] = df[self.colname].replace(0, np.nan).bfill()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from gseapy import dotplot\n",
    "# to save your figure, make sure that ``ofname`` is not None\n",
    "ax = dotplot(gs_res.res2d, \n",
    "             column=\"FDR q-val\",\n",
    "             title='KEGG_2021_Human',\n",
    "             cmap=plt.cm.viridis, \n",
    "             size=5, \n",
    "             figsize=(4,5), cutoff=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "9899f49d-cbe9-451f-bfa1-090798007bf8"
    }
   },
   "source": [
    "### Command line usage "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4462f89a-119f-4144-b796-b4b9451c9a44"
    }
   },
   "source": [
    "You may also want to use gsea in command line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !gseapy gsea -d ./data/P53_resampling_data.txt \\\n",
    "#              -g KEGG_2016 -c ./data/P53.cls \\\n",
    "#              -o test/gsea_reprot_2 \\\n",
    "#              -v --no-plot \\\n",
    "#              -t phenotype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Single Sample GSEA example\n",
    "\n",
    "\n",
    "What's ssGSEA? Which one should I use? Prerank or ssGSEA\n",
    "\n",
    "see FAQ [here](https://github.com/zqfang/GSEApy/wiki/FAQ)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Input format  \n",
    "Assign \n",
    "- `data` with \n",
    "  - a txt file, gct file, \n",
    "  - pd.DataFrame\n",
    "  - pd.Seires(gene name as index)\n",
    "  \n",
    "- gene_sets with:\n",
    "\n",
    "```python\n",
    "    gene_sets=\"KEGG_2016\",\n",
    "    gene_sets=\"KEGG_2016,KEGG2013\",\n",
    "    gene_sets=\"./data/genes.gmt\",\n",
    "    gene_sets=[\"KEGG_2016\",\"./data/genes.gmt\"],\n",
    "    gene_sets={'A':['gene1', 'gene2',...],\n",
    "               'B':['gene2', 'gene4',...],\n",
    "               ...}\n",
    "```\n",
    "\n",
    "\n",
    "#### NOTE: UPCASES for gene symbols by Default\n",
    "\n",
    "1. Gene symbols are all \"UPCASES\" in the Enrichr Libaries. You should convert your input gene identifier to \"UPCASES\" first.\n",
    "2. If input `gmt`, `dict` object, please refer to `1.2 Mouse gene symbols maps to Human, or Vice Versa` (in this page) to convert gene identifier\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-02-04 15:48:18,961 [WARNING] Found duplicated gene names, values averaged by gene names!\n"
     ]
    }
   ],
   "source": [
    "import gseapy as gp\n",
    "# txt, gct file input\n",
    "ss = gp.ssgsea(data='./tests/extdata/Leukemia_hgu95av2.trim.txt',\n",
    "               gene_sets='./tests/extdata/h.all.v7.0.symbols.gmt',\n",
    "               outdir=None, \n",
    "               sample_norm_method='rank', # choose 'custom' will only use the raw value of `data`\n",
    "               no_plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Term</th>\n",
       "      <th>ES</th>\n",
       "      <th>NES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ALL_2</td>\n",
       "      <td>HALLMARK_MYC_TARGETS_V1</td>\n",
       "      <td>3393.823575</td>\n",
       "      <td>0.707975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALL_12</td>\n",
       "      <td>HALLMARK_MYC_TARGETS_V1</td>\n",
       "      <td>3385.626111</td>\n",
       "      <td>0.706265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AML_11</td>\n",
       "      <td>HALLMARK_MYC_TARGETS_V1</td>\n",
       "      <td>3359.186716</td>\n",
       "      <td>0.700749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ALL_14</td>\n",
       "      <td>HALLMARK_MYC_TARGETS_V1</td>\n",
       "      <td>3348.938881</td>\n",
       "      <td>0.698611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ALL_17</td>\n",
       "      <td>HALLMARK_MYC_TARGETS_V1</td>\n",
       "      <td>3335.065348</td>\n",
       "      <td>0.695717</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Name                     Term           ES       NES\n",
       "0   ALL_2  HALLMARK_MYC_TARGETS_V1  3393.823575  0.707975\n",
       "1  ALL_12  HALLMARK_MYC_TARGETS_V1  3385.626111  0.706265\n",
       "2  AML_11  HALLMARK_MYC_TARGETS_V1  3359.186716  0.700749\n",
       "3  ALL_14  HALLMARK_MYC_TARGETS_V1  3348.938881  0.698611\n",
       "4  ALL_17  HALLMARK_MYC_TARGETS_V1  3335.065348  0.695717"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ss.res2d.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ATXN1</th>\n",
       "      <td>16.456753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UBQLN4</th>\n",
       "      <td>13.989493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CALM1</th>\n",
       "      <td>13.745533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DLG4</th>\n",
       "      <td>12.796588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MRE11A</th>\n",
       "      <td>12.787631</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                1\n",
       "0                \n",
       "ATXN1   16.456753\n",
       "UBQLN4  13.989493\n",
       "CALM1   13.745533\n",
       "DLG4    12.796588\n",
       "MRE11A  12.787631"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# or assign a dataframe, or Series to ssgsea()\n",
    "ssdf = pd.read_csv(\"./tests/data/temp.rnk\", header=None,index_col=0,  sep=\"\\t\")\n",
    "ssdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataframe with one column is also supported by ssGSEA or Prerank\n",
    "# But you have to set gene_names as index\n",
    "ssdf2 = ssdf.squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Series, DataFrame Example\n",
    "# supports dataframe and series\n",
    "temp  = gp.ssgsea(data=ssdf2, gene_sets=\"./tests/data/temp.gmt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Access Enrichment Score (ES) and NES\n",
    "\n",
    "Results are saved to obj.res2d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Term</th>\n",
       "      <th>ES</th>\n",
       "      <th>NES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>ALL_1</td>\n",
       "      <td>HALLMARK_PANCREAS_BETA_CELLS</td>\n",
       "      <td>-1280.654659</td>\n",
       "      <td>-0.267153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>ALL_1</td>\n",
       "      <td>HALLMARK_APOPTOSIS</td>\n",
       "      <td>970.818772</td>\n",
       "      <td>0.202519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1774</th>\n",
       "      <td>ALL_1</td>\n",
       "      <td>HALLMARK_HEDGEHOG_SIGNALING</td>\n",
       "      <td>431.446694</td>\n",
       "      <td>0.090003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>ALL_1</td>\n",
       "      <td>HALLMARK_INTERFERON_ALPHA_RESPONSE</td>\n",
       "      <td>1721.458034</td>\n",
       "      <td>0.359108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1778</th>\n",
       "      <td>ALL_1</td>\n",
       "      <td>HALLMARK_BILE_ACID_METABOLISM</td>\n",
       "      <td>-429.127871</td>\n",
       "      <td>-0.089519</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Name                                Term           ES       NES\n",
       "601   ALL_1        HALLMARK_PANCREAS_BETA_CELLS -1280.654659 -0.267153\n",
       "934   ALL_1                  HALLMARK_APOPTOSIS   970.818772  0.202519\n",
       "1774  ALL_1         HALLMARK_HEDGEHOG_SIGNALING   431.446694  0.090003\n",
       "279   ALL_1  HALLMARK_INTERFERON_ALPHA_RESPONSE  1721.458034  0.359108\n",
       "1778  ALL_1       HALLMARK_BILE_ACID_METABOLISM  -429.127871 -0.089519"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NES and ES\n",
    "ss.res2d.sort_values('Name').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Name</th>\n",
       "      <th>ALL_1</th>\n",
       "      <th>ALL_10</th>\n",
       "      <th>ALL_11</th>\n",
       "      <th>ALL_12</th>\n",
       "      <th>ALL_13</th>\n",
       "      <th>ALL_14</th>\n",
       "      <th>ALL_15</th>\n",
       "      <th>ALL_16</th>\n",
       "      <th>ALL_17</th>\n",
       "      <th>ALL_18</th>\n",
       "      <th>...</th>\n",
       "      <th>AML_22</th>\n",
       "      <th>AML_23</th>\n",
       "      <th>AML_24</th>\n",
       "      <th>AML_3</th>\n",
       "      <th>AML_4</th>\n",
       "      <th>AML_5</th>\n",
       "      <th>AML_6</th>\n",
       "      <th>AML_7</th>\n",
       "      <th>AML_8</th>\n",
       "      <th>AML_9</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Term</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ADIPOGENESIS</th>\n",
       "      <td>0.287384</td>\n",
       "      <td>0.274548</td>\n",
       "      <td>0.290059</td>\n",
       "      <td>0.285388</td>\n",
       "      <td>0.322757</td>\n",
       "      <td>0.305239</td>\n",
       "      <td>0.275686</td>\n",
       "      <td>0.266209</td>\n",
       "      <td>0.315803</td>\n",
       "      <td>0.282617</td>\n",
       "      <td>...</td>\n",
       "      <td>0.277755</td>\n",
       "      <td>0.261477</td>\n",
       "      <td>0.200083</td>\n",
       "      <td>0.312948</td>\n",
       "      <td>0.342963</td>\n",
       "      <td>0.253282</td>\n",
       "      <td>0.298924</td>\n",
       "      <td>0.410395</td>\n",
       "      <td>0.387433</td>\n",
       "      <td>0.343606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ALLOGRAFT_REJECTION</th>\n",
       "      <td>0.06177</td>\n",
       "      <td>0.028062</td>\n",
       "      <td>0.096589</td>\n",
       "      <td>0.080713</td>\n",
       "      <td>0.082701</td>\n",
       "      <td>0.102735</td>\n",
       "      <td>0.12525</td>\n",
       "      <td>0.147262</td>\n",
       "      <td>0.124621</td>\n",
       "      <td>0.091077</td>\n",
       "      <td>...</td>\n",
       "      <td>0.185738</td>\n",
       "      <td>0.157852</td>\n",
       "      <td>0.055585</td>\n",
       "      <td>0.218827</td>\n",
       "      <td>0.172395</td>\n",
       "      <td>0.199077</td>\n",
       "      <td>0.158945</td>\n",
       "      <td>0.13835</td>\n",
       "      <td>0.110787</td>\n",
       "      <td>0.121643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ANDROGEN_RESPONSE</th>\n",
       "      <td>0.133453</td>\n",
       "      <td>0.113911</td>\n",
       "      <td>0.193074</td>\n",
       "      <td>0.201531</td>\n",
       "      <td>0.151001</td>\n",
       "      <td>0.12967</td>\n",
       "      <td>0.173563</td>\n",
       "      <td>0.144836</td>\n",
       "      <td>0.180214</td>\n",
       "      <td>0.180801</td>\n",
       "      <td>...</td>\n",
       "      <td>0.180443</td>\n",
       "      <td>0.188891</td>\n",
       "      <td>0.197979</td>\n",
       "      <td>0.174892</td>\n",
       "      <td>0.14285</td>\n",
       "      <td>0.184843</td>\n",
       "      <td>0.157449</td>\n",
       "      <td>0.162843</td>\n",
       "      <td>0.180475</td>\n",
       "      <td>0.181878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ANGIOGENESIS</th>\n",
       "      <td>-0.113481</td>\n",
       "      <td>-0.182411</td>\n",
       "      <td>-0.195637</td>\n",
       "      <td>-0.094817</td>\n",
       "      <td>-0.163717</td>\n",
       "      <td>-0.139243</td>\n",
       "      <td>-0.119084</td>\n",
       "      <td>-0.154526</td>\n",
       "      <td>-0.06829</td>\n",
       "      <td>-0.121156</td>\n",
       "      <td>...</td>\n",
       "      <td>0.054883</td>\n",
       "      <td>-0.023782</td>\n",
       "      <td>0.119022</td>\n",
       "      <td>-0.067741</td>\n",
       "      <td>0.04843</td>\n",
       "      <td>0.012808</td>\n",
       "      <td>0.032505</td>\n",
       "      <td>-0.024058</td>\n",
       "      <td>-0.039492</td>\n",
       "      <td>-0.043769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_APICAL_JUNCTION</th>\n",
       "      <td>0.051372</td>\n",
       "      <td>0.063763</td>\n",
       "      <td>0.054601</td>\n",
       "      <td>0.014385</td>\n",
       "      <td>0.049019</td>\n",
       "      <td>0.05269</td>\n",
       "      <td>0.064787</td>\n",
       "      <td>0.052192</td>\n",
       "      <td>0.05607</td>\n",
       "      <td>0.064936</td>\n",
       "      <td>...</td>\n",
       "      <td>0.10927</td>\n",
       "      <td>0.090065</td>\n",
       "      <td>0.155801</td>\n",
       "      <td>0.091556</td>\n",
       "      <td>0.110045</td>\n",
       "      <td>0.101659</td>\n",
       "      <td>0.128808</td>\n",
       "      <td>0.095511</td>\n",
       "      <td>0.080076</td>\n",
       "      <td>0.098644</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Name                             ALL_1    ALL_10    ALL_11    ALL_12  \\\n",
       "Term                                                                   \n",
       "HALLMARK_ADIPOGENESIS         0.287384  0.274548  0.290059  0.285388   \n",
       "HALLMARK_ALLOGRAFT_REJECTION   0.06177  0.028062  0.096589  0.080713   \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.133453  0.113911  0.193074  0.201531   \n",
       "HALLMARK_ANGIOGENESIS        -0.113481 -0.182411 -0.195637 -0.094817   \n",
       "HALLMARK_APICAL_JUNCTION      0.051372  0.063763  0.054601  0.014385   \n",
       "\n",
       "Name                            ALL_13    ALL_14    ALL_15    ALL_16  \\\n",
       "Term                                                                   \n",
       "HALLMARK_ADIPOGENESIS         0.322757  0.305239  0.275686  0.266209   \n",
       "HALLMARK_ALLOGRAFT_REJECTION  0.082701  0.102735   0.12525  0.147262   \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.151001   0.12967  0.173563  0.144836   \n",
       "HALLMARK_ANGIOGENESIS        -0.163717 -0.139243 -0.119084 -0.154526   \n",
       "HALLMARK_APICAL_JUNCTION      0.049019   0.05269  0.064787  0.052192   \n",
       "\n",
       "Name                            ALL_17    ALL_18  ...    AML_22    AML_23  \\\n",
       "Term                                              ...                       \n",
       "HALLMARK_ADIPOGENESIS         0.315803  0.282617  ...  0.277755  0.261477   \n",
       "HALLMARK_ALLOGRAFT_REJECTION  0.124621  0.091077  ...  0.185738  0.157852   \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.180214  0.180801  ...  0.180443  0.188891   \n",
       "HALLMARK_ANGIOGENESIS         -0.06829 -0.121156  ...  0.054883 -0.023782   \n",
       "HALLMARK_APICAL_JUNCTION       0.05607  0.064936  ...   0.10927  0.090065   \n",
       "\n",
       "Name                            AML_24     AML_3     AML_4     AML_5  \\\n",
       "Term                                                                   \n",
       "HALLMARK_ADIPOGENESIS         0.200083  0.312948  0.342963  0.253282   \n",
       "HALLMARK_ALLOGRAFT_REJECTION  0.055585  0.218827  0.172395  0.199077   \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.197979  0.174892   0.14285  0.184843   \n",
       "HALLMARK_ANGIOGENESIS         0.119022 -0.067741   0.04843  0.012808   \n",
       "HALLMARK_APICAL_JUNCTION      0.155801  0.091556  0.110045  0.101659   \n",
       "\n",
       "Name                             AML_6     AML_7     AML_8     AML_9  \n",
       "Term                                                                  \n",
       "HALLMARK_ADIPOGENESIS         0.298924  0.410395  0.387433  0.343606  \n",
       "HALLMARK_ALLOGRAFT_REJECTION  0.158945   0.13835  0.110787  0.121643  \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.157449  0.162843  0.180475  0.181878  \n",
       "HALLMARK_ANGIOGENESIS         0.032505 -0.024058 -0.039492 -0.043769  \n",
       "HALLMARK_APICAL_JUNCTION      0.128808  0.095511  0.080076  0.098644  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nes = ss.res2d.pivot(index='Term', columns='Name', values='NES')\n",
    "nes.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Warning !!!**\n",
    "\n",
    "if you set permutation_num > 0, ssgsea will become `prerank` with ssGSEA statistics. **DO NOT** use this, unless you known what you are doing !\n",
    "\n",
    "```python\n",
    "ss_permut = gp.ssgsea(data=\"./tests/extdata/Leukemia_hgu95av2.trim.txt\",\n",
    "               gene_sets=\"./tests/extdata/h.all.v7.0.symbols.gmt\", \n",
    "               outdir=None, \n",
    "               sample_norm_method='rank', # choose 'custom' for your custom metric\n",
    "               permutation_num=20, # set permutation_num > 0, it will act like prerank tool\n",
    "               no_plot=True, # skip plotting, because you don't need these figures\n",
    "               processes=4, seed=9)\n",
    "ss_permut.res2d.head(5)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Command line usage of ssGSEA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !gseapy ssgsea -d ./data/testSet_rand1200.gct \\\n",
    "#                -g data/temp.gmt \\\n",
    "#                -o test/ssgsea_report2  \\\n",
    "#                -p 4 --no-plot "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GSVA example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-02-04 15:48:19,367 [WARNING] Found duplicated gene names, values averaged by gene names!\n"
     ]
    }
   ],
   "source": [
    "import gseapy as gp\n",
    "# txt, gct file input\n",
    "es = gp.gsva(data='./tests/extdata/Leukemia_hgu95av2.trim.txt',\n",
    "             gene_sets='./tests/extdata/h.all.v7.0.symbols.gmt',\n",
    "             outdir=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Name</th>\n",
       "      <th>ALL_1</th>\n",
       "      <th>ALL_10</th>\n",
       "      <th>ALL_11</th>\n",
       "      <th>ALL_12</th>\n",
       "      <th>ALL_13</th>\n",
       "      <th>ALL_14</th>\n",
       "      <th>ALL_15</th>\n",
       "      <th>ALL_16</th>\n",
       "      <th>ALL_17</th>\n",
       "      <th>ALL_18</th>\n",
       "      <th>...</th>\n",
       "      <th>AML_22</th>\n",
       "      <th>AML_23</th>\n",
       "      <th>AML_24</th>\n",
       "      <th>AML_3</th>\n",
       "      <th>AML_4</th>\n",
       "      <th>AML_5</th>\n",
       "      <th>AML_6</th>\n",
       "      <th>AML_7</th>\n",
       "      <th>AML_8</th>\n",
       "      <th>AML_9</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Term</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ADIPOGENESIS</th>\n",
       "      <td>-0.21331</td>\n",
       "      <td>-0.08096</td>\n",
       "      <td>0.003289</td>\n",
       "      <td>-0.017909</td>\n",
       "      <td>0.207841</td>\n",
       "      <td>0.023294</td>\n",
       "      <td>-0.085392</td>\n",
       "      <td>-0.221273</td>\n",
       "      <td>0.16147</td>\n",
       "      <td>-0.01825</td>\n",
       "      <td>...</td>\n",
       "      <td>0.03344</td>\n",
       "      <td>-0.190436</td>\n",
       "      <td>-0.0985</td>\n",
       "      <td>0.105208</td>\n",
       "      <td>0.196799</td>\n",
       "      <td>-0.296305</td>\n",
       "      <td>-0.084042</td>\n",
       "      <td>0.450832</td>\n",
       "      <td>0.226921</td>\n",
       "      <td>0.209835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ALLOGRAFT_REJECTION</th>\n",
       "      <td>-0.210468</td>\n",
       "      <td>-0.373787</td>\n",
       "      <td>-0.086016</td>\n",
       "      <td>-0.169623</td>\n",
       "      <td>-0.158775</td>\n",
       "      <td>-0.016488</td>\n",
       "      <td>-0.050703</td>\n",
       "      <td>0.10443</td>\n",
       "      <td>-0.075816</td>\n",
       "      <td>-0.193654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023653</td>\n",
       "      <td>0.032892</td>\n",
       "      <td>-0.113577</td>\n",
       "      <td>0.30703</td>\n",
       "      <td>0.134581</td>\n",
       "      <td>0.188905</td>\n",
       "      <td>0.132169</td>\n",
       "      <td>0.024078</td>\n",
       "      <td>-0.092054</td>\n",
       "      <td>-0.195987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ANDROGEN_RESPONSE</th>\n",
       "      <td>-0.13633</td>\n",
       "      <td>-0.308572</td>\n",
       "      <td>0.008126</td>\n",
       "      <td>0.04849</td>\n",
       "      <td>-0.061181</td>\n",
       "      <td>-0.203036</td>\n",
       "      <td>0.070416</td>\n",
       "      <td>-0.12524</td>\n",
       "      <td>0.080075</td>\n",
       "      <td>0.022248</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031898</td>\n",
       "      <td>0.064394</td>\n",
       "      <td>0.070232</td>\n",
       "      <td>0.199349</td>\n",
       "      <td>-0.079399</td>\n",
       "      <td>-0.016658</td>\n",
       "      <td>-0.127327</td>\n",
       "      <td>0.018847</td>\n",
       "      <td>0.121426</td>\n",
       "      <td>0.163149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_ANGIOGENESIS</th>\n",
       "      <td>0.035895</td>\n",
       "      <td>-0.287645</td>\n",
       "      <td>-0.214951</td>\n",
       "      <td>-0.291145</td>\n",
       "      <td>-0.311917</td>\n",
       "      <td>-0.236717</td>\n",
       "      <td>-0.345662</td>\n",
       "      <td>-0.250202</td>\n",
       "      <td>-0.233296</td>\n",
       "      <td>-0.318353</td>\n",
       "      <td>...</td>\n",
       "      <td>0.244374</td>\n",
       "      <td>-0.076852</td>\n",
       "      <td>-0.010928</td>\n",
       "      <td>-0.210787</td>\n",
       "      <td>0.387912</td>\n",
       "      <td>0.269447</td>\n",
       "      <td>0.34823</td>\n",
       "      <td>0.157249</td>\n",
       "      <td>0.075479</td>\n",
       "      <td>-0.064515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HALLMARK_APICAL_JUNCTION</th>\n",
       "      <td>-0.088652</td>\n",
       "      <td>-0.128757</td>\n",
       "      <td>-0.050282</td>\n",
       "      <td>-0.248682</td>\n",
       "      <td>-0.145164</td>\n",
       "      <td>0.001997</td>\n",
       "      <td>-0.082962</td>\n",
       "      <td>-0.091691</td>\n",
       "      <td>-0.168941</td>\n",
       "      <td>-0.139766</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.067385</td>\n",
       "      <td>0.062719</td>\n",
       "      <td>-0.022434</td>\n",
       "      <td>0.076593</td>\n",
       "      <td>0.138664</td>\n",
       "      <td>0.240647</td>\n",
       "      <td>0.039307</td>\n",
       "      <td>0.016764</td>\n",
       "      <td>0.057512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Name                             ALL_1    ALL_10    ALL_11    ALL_12  \\\n",
       "Term                                                                   \n",
       "HALLMARK_ADIPOGENESIS         -0.21331  -0.08096  0.003289 -0.017909   \n",
       "HALLMARK_ALLOGRAFT_REJECTION -0.210468 -0.373787 -0.086016 -0.169623   \n",
       "HALLMARK_ANDROGEN_RESPONSE    -0.13633 -0.308572  0.008126   0.04849   \n",
       "HALLMARK_ANGIOGENESIS         0.035895 -0.287645 -0.214951 -0.291145   \n",
       "HALLMARK_APICAL_JUNCTION     -0.088652 -0.128757 -0.050282 -0.248682   \n",
       "\n",
       "Name                            ALL_13    ALL_14    ALL_15    ALL_16  \\\n",
       "Term                                                                   \n",
       "HALLMARK_ADIPOGENESIS         0.207841  0.023294 -0.085392 -0.221273   \n",
       "HALLMARK_ALLOGRAFT_REJECTION -0.158775 -0.016488 -0.050703   0.10443   \n",
       "HALLMARK_ANDROGEN_RESPONSE   -0.061181 -0.203036  0.070416  -0.12524   \n",
       "HALLMARK_ANGIOGENESIS        -0.311917 -0.236717 -0.345662 -0.250202   \n",
       "HALLMARK_APICAL_JUNCTION     -0.145164  0.001997 -0.082962 -0.091691   \n",
       "\n",
       "Name                            ALL_17    ALL_18  ...    AML_22    AML_23  \\\n",
       "Term                                              ...                       \n",
       "HALLMARK_ADIPOGENESIS          0.16147  -0.01825  ...   0.03344 -0.190436   \n",
       "HALLMARK_ALLOGRAFT_REJECTION -0.075816 -0.193654  ...  0.023653  0.032892   \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.080075  0.022248  ...  0.031898  0.064394   \n",
       "HALLMARK_ANGIOGENESIS        -0.233296 -0.318353  ...  0.244374 -0.076852   \n",
       "HALLMARK_APICAL_JUNCTION     -0.168941 -0.139766  ...  0.005859 -0.067385   \n",
       "\n",
       "Name                            AML_24     AML_3     AML_4     AML_5  \\\n",
       "Term                                                                   \n",
       "HALLMARK_ADIPOGENESIS          -0.0985  0.105208  0.196799 -0.296305   \n",
       "HALLMARK_ALLOGRAFT_REJECTION -0.113577   0.30703  0.134581  0.188905   \n",
       "HALLMARK_ANDROGEN_RESPONSE    0.070232  0.199349 -0.079399 -0.016658   \n",
       "HALLMARK_ANGIOGENESIS        -0.010928 -0.210787  0.387912  0.269447   \n",
       "HALLMARK_APICAL_JUNCTION      0.062719 -0.022434  0.076593  0.138664   \n",
       "\n",
       "Name                             AML_6     AML_7     AML_8     AML_9  \n",
       "Term                                                                  \n",
       "HALLMARK_ADIPOGENESIS        -0.084042  0.450832  0.226921  0.209835  \n",
       "HALLMARK_ALLOGRAFT_REJECTION  0.132169  0.024078 -0.092054 -0.195987  \n",
       "HALLMARK_ANDROGEN_RESPONSE   -0.127327  0.018847  0.121426  0.163149  \n",
       "HALLMARK_ANGIOGENESIS          0.34823  0.157249  0.075479 -0.064515  \n",
       "HALLMARK_APICAL_JUNCTION      0.240647  0.039307  0.016764  0.057512  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "es.res2d.pivot(index='Term', columns='Name', values='ES').head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Command line usage of GSVA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !gseapy ssgsea -d ./tests/data/expr.gsva.csv \\\n",
    "#                -g ./tests/data/geneset.gsva.gmt \\\n",
    "#                -o test/gsva_report"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Replot Example\n",
    "\n",
    "### Locate your directory\n",
    "\n",
    "Notes: ``replot`` module need to find edb folder to work properly.\n",
    "keep the file tree like this:\n",
    "```\n",
    "data\n",
    " |--- edb\n",
    " |    |--- C1OE.cls\n",
    " |    |--- gene_sets.gmt\n",
    " |    |--- gsea_data.gsea_data.rnk\n",
    " |    |--- results.edb\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# run command inside python console\n",
    "rep = gp.replot(indir=\"./tests/data\", outdir=\"tests/replot_test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Command line usage of replot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !gseapy replot -i data -o test/replot_test"
   ]
  }
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