process_metagenomes.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "191dd314-56a5-4685-91fb-d4c233e5b773",
   "metadata": {
    "tags": []
   },
   "source": [
    "# PanDelos-frags and Roary comparison in metagenomics\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8c04aa64-f17a-4b1f-a613-bcb6d21afba8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import necessary packages\n",
    "import os\n",
    "import numpy as np\n",
    "import re\n",
    "import pandas as pd \n",
    "import pyranges as pr\n",
    "import re \n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns \n",
    "from matplotlib.colors import ListedColormap\n",
    "\n",
    "# graphical parameters\n",
    "plt.rcParams['figure.figsize'] = [6.0, 4.0]\n",
    "plt.rcParams['figure.dpi'] = 300\n",
    "\n",
    "species = 'abiotrophia_defectiva' #bacteroides_nordii pseudomonas_aeruginosa\n",
    "pretty_species = '$\\it{'+species.split('_')[0].capitalize()+'\\ '+species.split('_')[1]+'}$'\n",
    "\n",
    "# set directories\n",
    "basedir = os.getcwd()\n",
    "delosdir = basedir+'/'+species+'/PanDelos'\n",
    "roarydir = basedir+'/'+species+'/Roary'\n",
    "prokkadir=basedir+'/'+species+'/Prokka'\n",
    "figdir = basedir+'/paper_figures'\n",
    "comparisondir = basedir+'/'+species+'/Comparison/'\n",
    "os.makedirs(comparisondir,exist_ok=True)\n",
    "GF_dir = comparisondir+'/GFs'\n",
    "fasta_directory=GF_dir+'/fasta'\n",
    "diamond_directory=GF_dir+'/diamond/'\n",
    "os.makedirs(GF_dir,exist_ok=True)\n",
    "os.makedirs(fasta_directory,exist_ok=True) \n",
    "os.makedirs(diamond_directory,exist_ok=True) "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5dd8a1c2",
   "metadata": {},
   "source": [
    "### Create a dataframe mapping the genome name between original genomes, PanDelos, and Roary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "37782989-438f-4909-b660-56024a68de98",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GCF_013267415.1_ASM1326741v1_genomic.fna\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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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>genome</th>\n",
       "      <th>pandelos_name</th>\n",
       "      <th>roary_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HMP_2012__SRS011310__bin.11.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_IBmNh</td>\n",
       "      <td>ILOPGLEA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HMP_2012__SRS056892__bin.12.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_J8kDg</td>\n",
       "      <td>EGFOGDEI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HMP_2012__SRS051941__bin.14.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_h5w8O</td>\n",
       "      <td>FJAPHHBF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HMP_2012__SRS019073__bin.4.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_KmUpV</td>\n",
       "      <td>GKABGAOF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HMP_2012__SRS018573__bin.43.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_X6Wtj</td>\n",
       "      <td>GCNIEDOA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>HMP_2012__SRS019591__bin.15.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_lNvbo</td>\n",
       "      <td>EHKKLKPA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CM_periimplantitis__SP_602SPI_T016__bin.1.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_rwPu8</td>\n",
       "      <td>OCEOODIC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CM_cf__CF_FIFC013SS_t5M16__bin.10.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_rXiFg</td>\n",
       "      <td>CLLHJDKB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>HMP_2012__SRS018665__bin.11.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_6wOTZ</td>\n",
       "      <td>JAODIBLH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>HMP_2012__SRS064449__bin.25.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_P7zAL</td>\n",
       "      <td>LEBPGLFE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>HMP_2012__SRS051930__bin.34.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_L1UsT</td>\n",
       "      <td>LFCPIIGO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>HMP_2012__SRS014690__bin.39.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_hy5zb</td>\n",
       "      <td>AKOHDKND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HMP_2012__SRS015215__bin.18.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_iH5sr</td>\n",
       "      <td>LPPLNKHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>HMP_2012__SRS022602__bin.77.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_P7dXY</td>\n",
       "      <td>MLKNDFHG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CM_cf__CF_TNFC004SA_t1M15__bin.16.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_l4XZN</td>\n",
       "      <td>JHHPFFJK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>HMP_2012__SRS045262__bin.2.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_jI5Gr</td>\n",
       "      <td>KDHJFAGC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>HMP_2012__SRS019077__bin.42.fa</td>\n",
       "      <td>NZ_CP053988.1reconstructed_uSTV0</td>\n",
       "      <td>DPNMBEIJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>GCF_013267415.1_ASM1326741v1_genomic.fna</td>\n",
       "      <td>NZ_CP053988.1</td>\n",
       "      <td>KIFDJALJ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          genome  \\\n",
       "0                 HMP_2012__SRS011310__bin.11.fa   \n",
       "1                 HMP_2012__SRS056892__bin.12.fa   \n",
       "2                 HMP_2012__SRS051941__bin.14.fa   \n",
       "3                  HMP_2012__SRS019073__bin.4.fa   \n",
       "4                 HMP_2012__SRS018573__bin.43.fa   \n",
       "5                 HMP_2012__SRS019591__bin.15.fa   \n",
       "6   CM_periimplantitis__SP_602SPI_T016__bin.1.fa   \n",
       "7           CM_cf__CF_FIFC013SS_t5M16__bin.10.fa   \n",
       "8                 HMP_2012__SRS018665__bin.11.fa   \n",
       "9                 HMP_2012__SRS064449__bin.25.fa   \n",
       "10                HMP_2012__SRS051930__bin.34.fa   \n",
       "11                HMP_2012__SRS014690__bin.39.fa   \n",
       "12                HMP_2012__SRS015215__bin.18.fa   \n",
       "13                HMP_2012__SRS022602__bin.77.fa   \n",
       "14          CM_cf__CF_TNFC004SA_t1M15__bin.16.fa   \n",
       "15                 HMP_2012__SRS045262__bin.2.fa   \n",
       "16                HMP_2012__SRS019077__bin.42.fa   \n",
       "17      GCF_013267415.1_ASM1326741v1_genomic.fna   \n",
       "\n",
       "                       pandelos_name roary_name  \n",
       "0   NZ_CP053988.1reconstructed_IBmNh   ILOPGLEA  \n",
       "1   NZ_CP053988.1reconstructed_J8kDg   EGFOGDEI  \n",
       "2   NZ_CP053988.1reconstructed_h5w8O   FJAPHHBF  \n",
       "3   NZ_CP053988.1reconstructed_KmUpV   GKABGAOF  \n",
       "4   NZ_CP053988.1reconstructed_X6Wtj   GCNIEDOA  \n",
       "5   NZ_CP053988.1reconstructed_lNvbo   EHKKLKPA  \n",
       "6   NZ_CP053988.1reconstructed_rwPu8   OCEOODIC  \n",
       "7   NZ_CP053988.1reconstructed_rXiFg   CLLHJDKB  \n",
       "8   NZ_CP053988.1reconstructed_6wOTZ   JAODIBLH  \n",
       "9   NZ_CP053988.1reconstructed_P7zAL   LEBPGLFE  \n",
       "10  NZ_CP053988.1reconstructed_L1UsT   LFCPIIGO  \n",
       "11  NZ_CP053988.1reconstructed_hy5zb   AKOHDKND  \n",
       "12  NZ_CP053988.1reconstructed_iH5sr   LPPLNKHA  \n",
       "13  NZ_CP053988.1reconstructed_P7dXY   MLKNDFHG  \n",
       "14  NZ_CP053988.1reconstructed_l4XZN   JHHPFFJK  \n",
       "15  NZ_CP053988.1reconstructed_jI5Gr   KDHJFAGC  \n",
       "16  NZ_CP053988.1reconstructed_uSTV0   DPNMBEIJ  \n",
       "17                     NZ_CP053988.1   KIFDJALJ  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genome_names = os.listdir(delosdir+'/output/fragmented')\n",
    "matchfile='predictedCDSs_filtered_only_genes.bed'\n",
    "dict_list_names = []\n",
    "\n",
    "# read roary file to associate roary aliases to genome names\n",
    "with open(roarydir+'/output/gene_presence_absence.csv') as f:\n",
    "    lines = f.readlines()[0:2]\n",
    "    colnames = lines[0]\n",
    "    aliases = lines[1]\n",
    "    \n",
    "    colnames = colnames.split(',')\n",
    "    indexes_prokka = [i for i,name in enumerate(colnames) if re.search(\"prokka\", name)]\n",
    "    colnames = np.array(colnames)[indexes_prokka]\n",
    "    aliases = np.array(aliases.split(','))[indexes_prokka]\n",
    "    aliases = [a.split('_')[0] for a in aliases]\n",
    "    \n",
    "    names_to_aliases_roary = {colnames[i].strip().strip('\\\"'):aliases[i].strip().strip('\\\"') for i,v in enumerate(colnames)}\n",
    "\n",
    "# read pandelos file to associate pandelos aliases to genome name\n",
    "for g in genome_names:\n",
    "    files = os.listdir(delosdir+'/output/fragmented/' + g + '/artifacts')\n",
    "    afile = [f for f in files if f.endswith(matchfile)][0]\n",
    "    with open(delosdir+'/output/fragmented/' + g + '/artifacts/' +afile) as f:\n",
    "        delos_name = f.readline().split('\\t')[0]\n",
    "        \n",
    "    dict_row = {'genome':g, 'pandelos_name':delos_name, 'roary_name': names_to_aliases_roary['prokka_'+g]}\n",
    "    dict_list_names.append(dict_row)\n",
    "\n",
    "# add also complete genomes\n",
    "ref_genome =  os.listdir(delosdir+\"/output/complete\")\n",
    "ref_genome_m = [not r.endswith('.fai') for r in ref_genome]\n",
    "ref_genome = np.array(ref_genome)[ref_genome_m][0]\n",
    "print(ref_genome)\n",
    "ref_delos=delos_name.split('reconstructed')[0]\n",
    "\n",
    "ref = {'genome': ref_genome, 'pandelos_name':ref_delos, 'roary_name':names_to_aliases_roary['prokka_'+ref_genome]}\n",
    "dict_list_names.append(ref)\n",
    "names_df=pd.DataFrame(dict_list_names)\n",
    "names_df"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "944d34c8",
   "metadata": {},
   "source": [
    "## Read in GFs\n",
    "### PanDelos-frags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b0ef6419",
   "metadata": {},
   "outputs": [],
   "source": [
    "ref_to_genes_delos = dict() # #used for looking at the distribution of GF size, based on their gene in the  reference genome\n",
    "gf_sizes_delos = dict() #used for looking at the distribution of GF size, regardless of their association to a common gene in the reference genome\n",
    "\n",
    "# PanDelos-frags\n",
    "with open(delosdir+\"/output/output.clus\") as f:\n",
    "        lines = f.readlines()\n",
    "\n",
    "for l in lines:\n",
    "    reference=False\n",
    "    l = l.rstrip()\n",
    "    l = l.split(' ')\n",
    "    genome_set = set()\n",
    "    selected_genes = []\n",
    "    for gene in l:\n",
    "        genome = gene.split(':')[0]\n",
    "\n",
    "        if not re.search(\"reconstructed\", gene): # a gene is not reconstructed, hence is ref\n",
    "            reference = gene\n",
    "     \n",
    "        if genome in genome_set:\n",
    "            continue\n",
    "        else:\n",
    "            genome_set.add(genome)\n",
    "            selected_genes.append(gene)\n",
    "\n",
    "    if reference != False:      \n",
    "        ref_to_genes_delos[reference]= selected_genes #others\n",
    "    \n",
    "    if len(genome_set) in gf_sizes_delos.keys():\n",
    "        gf_sizes_delos[len(genome_set)] += 1\n",
    "    else:\n",
    "        gf_sizes_delos[len(genome_set)] = 1\n",
    "\n",
    "# Make pyranges compatible\n",
    "dict_list=[]\n",
    " \n",
    "for k in ref_to_genes_delos.keys(): \n",
    "    coords = k.split(':')[1]\n",
    "    start = coords.split('-')[0]\n",
    "    stop = '-'.join(coords.split('-')[1:3])\n",
    "    strand = stop[len(stop)-2]\n",
    "    stop = stop[:len(stop)-3] \n",
    "    dict_row = {'Chromosome':1,'Start':start,'End':stop,'Strand':strand, 'ID':k, 'Family':list(set(ref_to_genes_delos[k])), 'Family_size':len(list(set(ref_to_genes_delos[k])))}\n",
    "    dict_list.append(dict_row)\n",
    "pandelos_df=pd.DataFrame(dict_list) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4d2f861f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pd.DataFrame.from_dict(gf_sizes_delos,orient='index').to_csv(delosdir+'/count.csv')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "09921df0",
   "metadata": {},
   "source": [
    "### Roary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ab3c3817",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Roary\n",
    "roary_pres_abs = pd.read_csv(roarydir+'/output/gene_presence_absence.csv',na_filter=False)\n",
    "gf_sizes_roary = Counter(roary_pres_abs['No. isolates'])\n",
    "\n",
    "reference_df_roary=roary_pres_abs[roary_pres_abs['prokka_'+ref_genome]!='']\n",
    "ref_to_genes_roary = dict()\n",
    "ref_to_len_roary = dict()\n",
    "for i in reference_df_roary.index:\n",
    "    ref = reference_df_roary.loc[i,'prokka_'+ref_genome]\n",
    "    fam = list(reference_df_roary.loc[i,reference_df_roary.columns.isin('prokka_'+names_df['genome'][:-1])].values)\n",
    "    fam = [f.split('\\t')[0] for f in fam if f!= ''] \n",
    "    fam.append(ref)\n",
    "    len_fam = len(fam)\n",
    "    ref_to_genes_roary[ref]=fam\n",
    "    ref_to_len_roary[ref]=len_fam\n",
    "\n",
    "ref_to_genes_roary_df = pd.DataFrame(ref_to_genes_roary.items(), columns=['ID', 'Family'])\n",
    "ref_to_genes_roary_df = pd.merge(ref_to_genes_roary_df,pd.DataFrame(ref_to_len_roary.items(), columns=['ID', 'Family_size']), on='ID')\n",
    "reference_df_roary = pd.merge(reference_df_roary.loc[:,['Gene','prokka_'+ref_genome]],ref_to_genes_roary_df, left_on='prokka_'+ref_genome, right_on='ID')\n",
    "\n",
    "## Import GFF to obtain coordinates of all ref genes + gene name + IDs\n",
    "gff_file = prokkadir+'/prokka_gffs/prokka_'+ref_genome+'.gff'\n",
    "dict_list = [] \n",
    "\n",
    "with open(gff_file) as f:\n",
    "    lines = f.readlines()\n",
    "    for l in lines:\n",
    "        if l.startswith('##FASTA'):\n",
    "            break\n",
    "        elif l.startswith('#'):\n",
    "            continue\n",
    "            \n",
    "        l = l.split('\\t')  \n",
    "        start = int(l[3]) # #nb gtf starts indexing at 1\n",
    "        stop = l[4]\n",
    "        others = l[8]\n",
    "        strand = l[6]\n",
    "        others = others.split(';')\n",
    "        ID = others[0].split('=')[1] \n",
    "\n",
    "        dict_row = {'Chromosome':1,'Start':start,'End':stop,'Strand':strand,'ID':ID} \n",
    "        dict_list.append(dict_row)\n",
    "roary_gff_df=pd.DataFrame(dict_list)  \n",
    "\n",
    "roary_gff_df=pd.merge(roary_gff_df,reference_df_roary, left_on=\"ID\",right_on='ID')\n",
    "roary_df=roary_gff_df.loc[:,['Chromosome','Start','End','Strand','ID','Gene','Family','Family_size']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c549f415",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame.from_dict(gf_sizes_delos,orient='index')\n",
    "df_r = pd.DataFrame.from_dict(gf_sizes_roary,orient='index')\n",
    "\n",
    "df_both = pd.merge(df, df_r, left_index=True, right_index=True)\n",
    "df_both.columns = ['PanDelos-frags','Roary']\n",
    "df_both = df_both.sort_index()\n",
    "\n",
    "tot_pan = df_both['PanDelos-frags'].sum()\n",
    "tot_roa = df_both['Roary'].sum()\n",
    "\n",
    "df_both.loc[len(df_both.index)+1]  = [tot_pan,tot_roa]\n",
    "df_both = df_both.rename(index={df_both.index[-1]: 'TOT'})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e204d1ac",
   "metadata": {},
   "source": [
    "## Matching GFs by reference gene\n",
    "In this step we match the gene families in PanDelos-frags to those in roary by identifying commong genes from the refrence genome that are identified in both tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4993b6fe-9f36-4b68-9166-a10b5a07a32f",
   "metadata": {},
   "outputs": [
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       "\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>Chromosome</th>\n",
       "      <th>Start</th>\n",
       "      <th>End</th>\n",
       "      <th>Strand</th>\n",
       "      <th>ID</th>\n",
       "      <th>Family</th>\n",
       "      <th>Family_size</th>\n",
       "      <th>Start_b</th>\n",
       "      <th>End_b</th>\n",
       "      <th>Strand_b</th>\n",
       "      <th>ID_b</th>\n",
       "      <th>Gene</th>\n",
       "      <th>Family_b</th>\n",
       "      <th>Family_size_b</th>\n",
       "      <th>Overlap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>1</td>\n",
       "      <td>1625003</td>\n",
       "      <td>1637699</td>\n",
       "      <td>+</td>\n",
       "      <td>NZ_CP053988.1:1625003-1637699(+)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_jI5Gr:2018167-2030...</td>\n",
       "      <td>16</td>\n",
       "      <td>1625004</td>\n",
       "      <td>1637699</td>\n",
       "      <td>+</td>\n",
       "      <td>KIFDJALJ_01502</td>\n",
       "      <td>ebh</td>\n",
       "      <td>[CLLHJDKB_01322, OCEOODIC_00565, ILOPGLEA_0124...</td>\n",
       "      <td>13</td>\n",
       "      <td>12695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2139</th>\n",
       "      <td>1</td>\n",
       "      <td>765700</td>\n",
       "      <td>778204</td>\n",
       "      <td>-</td>\n",
       "      <td>NZ_CP053988.1:765700-778204(-)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_rwPu8:905291-91779...</td>\n",
       "      <td>12</td>\n",
       "      <td>765701</td>\n",
       "      <td>778204</td>\n",
       "      <td>-</td>\n",
       "      <td>KIFDJALJ_00708</td>\n",
       "      <td>group_894</td>\n",
       "      <td>[CLLHJDKB_00902, JHHPFFJK_00782, OCEOODIC_0016...</td>\n",
       "      <td>12</td>\n",
       "      <td>12503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>1</td>\n",
       "      <td>941971</td>\n",
       "      <td>953956</td>\n",
       "      <td>+</td>\n",
       "      <td>NZ_CP053988.1:941971-953956(+)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_L1UsT:1082018-1093...</td>\n",
       "      <td>6</td>\n",
       "      <td>941972</td>\n",
       "      <td>953956</td>\n",
       "      <td>+</td>\n",
       "      <td>KIFDJALJ_00872</td>\n",
       "      <td>group_419</td>\n",
       "      <td>[CLLHJDKB_00277, LPPLNKHA_00151, GCNIEDOA_0029...</td>\n",
       "      <td>5</td>\n",
       "      <td>11984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>745</th>\n",
       "      <td>1</td>\n",
       "      <td>1676320</td>\n",
       "      <td>1686487</td>\n",
       "      <td>+</td>\n",
       "      <td>NZ_CP053988.1:1676320-1686487(+)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_rXiFg:1816347-1826...</td>\n",
       "      <td>13</td>\n",
       "      <td>1676321</td>\n",
       "      <td>1686487</td>\n",
       "      <td>+</td>\n",
       "      <td>KIFDJALJ_01544</td>\n",
       "      <td>group_201</td>\n",
       "      <td>[OCEOODIC_00843, DPNMBEIJ_00949, KIFDJALJ_01544]</td>\n",
       "      <td>3</td>\n",
       "      <td>10166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>1</td>\n",
       "      <td>1375471</td>\n",
       "      <td>1384657</td>\n",
       "      <td>+</td>\n",
       "      <td>NZ_CP053988.1:1375471-1384657(+)</td>\n",
       "      <td>[NZ_CP053988.1:1375471-1384657(+), NZ_CP053988...</td>\n",
       "      <td>16</td>\n",
       "      <td>1375472</td>\n",
       "      <td>1384657</td>\n",
       "      <td>+</td>\n",
       "      <td>KIFDJALJ_01260</td>\n",
       "      <td>group_749</td>\n",
       "      <td>[JHHPFFJK_01213, OCEOODIC_00251, ILOPGLEA_0070...</td>\n",
       "      <td>11</td>\n",
       "      <td>9185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2276</th>\n",
       "      <td>1</td>\n",
       "      <td>1434973</td>\n",
       "      <td>1435099</td>\n",
       "      <td>-</td>\n",
       "      <td>NZ_CP053988.1:1434973-1435099(-)</td>\n",
       "      <td>[NZ_CP053988.1:1434973-1435099(-), NZ_CP053988...</td>\n",
       "      <td>8</td>\n",
       "      <td>1434974</td>\n",
       "      <td>1435099</td>\n",
       "      <td>-</td>\n",
       "      <td>KIFDJALJ_01314</td>\n",
       "      <td>group_2360</td>\n",
       "      <td>[KIFDJALJ_01314]</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2098</th>\n",
       "      <td>1</td>\n",
       "      <td>736309</td>\n",
       "      <td>736426</td>\n",
       "      <td>-</td>\n",
       "      <td>NZ_CP053988.1:736309-736426(-)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_P7dXY:982443-98256...</td>\n",
       "      <td>15</td>\n",
       "      <td>736310</td>\n",
       "      <td>736426</td>\n",
       "      <td>-</td>\n",
       "      <td>KIFDJALJ_00663</td>\n",
       "      <td>group_625</td>\n",
       "      <td>[CLLHJDKB_00569, JHHPFFJK_00827, OCEOODIC_0021...</td>\n",
       "      <td>13</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2123</th>\n",
       "      <td>1</td>\n",
       "      <td>748074</td>\n",
       "      <td>748188</td>\n",
       "      <td>-</td>\n",
       "      <td>NZ_CP053988.1:748074-748188(-)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_jI5Gr:950556-95067...</td>\n",
       "      <td>15</td>\n",
       "      <td>748075</td>\n",
       "      <td>748188</td>\n",
       "      <td>-</td>\n",
       "      <td>KIFDJALJ_00677</td>\n",
       "      <td>rpmJ</td>\n",
       "      <td>[CLLHJDKB_00538, JHHPFFJK_00813, OCEOODIC_0019...</td>\n",
       "      <td>15</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>1</td>\n",
       "      <td>1176670</td>\n",
       "      <td>1176775</td>\n",
       "      <td>+</td>\n",
       "      <td>NZ_CP053988.1:1176670-1176775(+)</td>\n",
       "      <td>[NZ_CP053988.1reconstructed_L1UsT:1351864-1351...</td>\n",
       "      <td>2</td>\n",
       "      <td>1176671</td>\n",
       "      <td>1176775</td>\n",
       "      <td>+</td>\n",
       "      <td>KIFDJALJ_01067</td>\n",
       "      <td>group_2334</td>\n",
       "      <td>[LFCPIIGO_00588, KIFDJALJ_01067]</td>\n",
       "      <td>2</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>1</td>\n",
       "      <td>893435</td>\n",
       "      <td>893531</td>\n",
       "      <td>-</td>\n",
       "      <td>NZ_CP053988.1:893435-893531(-)</td>\n",
       "      <td>[NZ_CP053988.1:893435-893531(-)]</td>\n",
       "      <td>1</td>\n",
       "      <td>893436</td>\n",
       "      <td>893531</td>\n",
       "      <td>-</td>\n",
       "      <td>KIFDJALJ_00821</td>\n",
       "      <td>group_2320</td>\n",
       "      <td>[KIFDJALJ_00821]</td>\n",
       "      <td>1</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1831 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Chromosome    Start      End Strand                                ID  \\\n",
       "694           1  1625003  1637699      +  NZ_CP053988.1:1625003-1637699(+)   \n",
       "2139          1   765700   778204      -    NZ_CP053988.1:765700-778204(-)   \n",
       "258           1   941971   953956      +    NZ_CP053988.1:941971-953956(+)   \n",
       "745           1  1676320  1686487      +  NZ_CP053988.1:1676320-1686487(+)   \n",
       "521           1  1375471  1384657      +  NZ_CP053988.1:1375471-1384657(+)   \n",
       "...         ...      ...      ...    ...                               ...   \n",
       "2276          1  1434973  1435099      -  NZ_CP053988.1:1434973-1435099(-)   \n",
       "2098          1   736309   736426      -    NZ_CP053988.1:736309-736426(-)   \n",
       "2123          1   748074   748188      -    NZ_CP053988.1:748074-748188(-)   \n",
       "135           1  1176670  1176775      +  NZ_CP053988.1:1176670-1176775(+)   \n",
       "1102          1   893435   893531      -    NZ_CP053988.1:893435-893531(-)   \n",
       "\n",
       "                                                 Family  Family_size  Start_b  \\\n",
       "694   [NZ_CP053988.1reconstructed_jI5Gr:2018167-2030...           16  1625004   \n",
       "2139  [NZ_CP053988.1reconstructed_rwPu8:905291-91779...           12   765701   \n",
       "258   [NZ_CP053988.1reconstructed_L1UsT:1082018-1093...            6   941972   \n",
       "745   [NZ_CP053988.1reconstructed_rXiFg:1816347-1826...           13  1676321   \n",
       "521   [NZ_CP053988.1:1375471-1384657(+), NZ_CP053988...           16  1375472   \n",
       "...                                                 ...          ...      ...   \n",
       "2276  [NZ_CP053988.1:1434973-1435099(-), NZ_CP053988...            8  1434974   \n",
       "2098  [NZ_CP053988.1reconstructed_P7dXY:982443-98256...           15   736310   \n",
       "2123  [NZ_CP053988.1reconstructed_jI5Gr:950556-95067...           15   748075   \n",
       "135   [NZ_CP053988.1reconstructed_L1UsT:1351864-1351...            2  1176671   \n",
       "1102                   [NZ_CP053988.1:893435-893531(-)]            1   893436   \n",
       "\n",
       "        End_b Strand_b            ID_b        Gene  \\\n",
       "694   1637699        +  KIFDJALJ_01502         ebh   \n",
       "2139   778204        -  KIFDJALJ_00708   group_894   \n",
       "258    953956        +  KIFDJALJ_00872   group_419   \n",
       "745   1686487        +  KIFDJALJ_01544   group_201   \n",
       "521   1384657        +  KIFDJALJ_01260   group_749   \n",
       "...       ...      ...             ...         ...   \n",
       "2276  1435099        -  KIFDJALJ_01314  group_2360   \n",
       "2098   736426        -  KIFDJALJ_00663   group_625   \n",
       "2123   748188        -  KIFDJALJ_00677        rpmJ   \n",
       "135   1176775        +  KIFDJALJ_01067  group_2334   \n",
       "1102   893531        -  KIFDJALJ_00821  group_2320   \n",
       "\n",
       "                                               Family_b  Family_size_b  \\\n",
       "694   [CLLHJDKB_01322, OCEOODIC_00565, ILOPGLEA_0124...             13   \n",
       "2139  [CLLHJDKB_00902, JHHPFFJK_00782, OCEOODIC_0016...             12   \n",
       "258   [CLLHJDKB_00277, LPPLNKHA_00151, GCNIEDOA_0029...              5   \n",
       "745    [OCEOODIC_00843, DPNMBEIJ_00949, KIFDJALJ_01544]              3   \n",
       "521   [JHHPFFJK_01213, OCEOODIC_00251, ILOPGLEA_0070...             11   \n",
       "...                                                 ...            ...   \n",
       "2276                                   [KIFDJALJ_01314]              1   \n",
       "2098  [CLLHJDKB_00569, JHHPFFJK_00827, OCEOODIC_0021...             13   \n",
       "2123  [CLLHJDKB_00538, JHHPFFJK_00813, OCEOODIC_0019...             15   \n",
       "135                    [LFCPIIGO_00588, KIFDJALJ_01067]              2   \n",
       "1102                                   [KIFDJALJ_00821]              1   \n",
       "\n",
       "      Overlap  \n",
       "694     12695  \n",
       "2139    12503  \n",
       "258     11984  \n",
       "745     10166  \n",
       "521      9185  \n",
       "...       ...  \n",
       "2276      125  \n",
       "2098      116  \n",
       "2123      113  \n",
       "135       104  \n",
       "1102       95  \n",
       "\n",
       "[1831 rows x 15 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roary_pr=pr.PyRanges(roary_df)\n",
    "pandelos_pr=pr.PyRanges(pandelos_df)\n",
    "joined=pandelos_pr.join(roary_pr,strandedness=None, report_overlap=True) \n",
    "joined=joined.as_df()\n",
    "joined = joined.sort_values(by='Overlap',ascending=False)\n",
    "joined = joined.drop_duplicates(subset='ID',keep='first')\n",
    "joined = joined.drop_duplicates(subset='Gene',keep='first')\n",
    "\n",
    "joined"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fc4d7f32-e23a-49bc-bd2e-9002e0ff7e74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pandelos has missing overlap of:\n",
    "missing=np.setdiff1d(np.array(pandelos_df['ID']), np.array(joined['ID']))\n",
    "pandelos_df[pandelos_df['ID'].isin(missing)]  \n",
    "len(pandelos_df[pandelos_df['ID'].isin(missing)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6eacde67-7661-4eb9-a58f-97297d3344f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Roary has missing overlap of:\n",
    "missing=np.setdiff1d(np.array(roary_df['ID']), np.array(joined['ID_b'])) \n",
    "roary_gff_df[roary_df['ID'].isin(missing)] \n",
    "len(roary_df[roary_df['ID'].isin(missing)]) "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b31c06c1-e1e5-4cdd-93e8-11427b9c27f3",
   "metadata": {},
   "source": [
    "## Compare GFs sizes\n",
    "Here we compare the sizes of matched GFs "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cf605e79-b08b-4bd7-abb2-c258b3f09992",
   "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>GF_size_pandelos</th>\n",
       "      <th>GF_size_Roary</th>\n",
       "      <th>Flag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ebh</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>group_894</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>=</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>group_419</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>group_201</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>group_749</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1826</th>\n",
       "      <td>group_2360</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1827</th>\n",
       "      <td>group_625</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1828</th>\n",
       "      <td>rpmJ</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>=</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1829</th>\n",
       "      <td>group_2334</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>=</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1830</th>\n",
       "      <td>group_2320</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>=</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1831 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene  GF_size_pandelos  GF_size_Roary Flag\n",
       "0            ebh                16             13    >\n",
       "1      group_894                12             12    =\n",
       "2      group_419                 6              5    >\n",
       "3      group_201                13              3    >\n",
       "4      group_749                16             11    >\n",
       "...          ...               ...            ...  ...\n",
       "1826  group_2360                 8              1    >\n",
       "1827   group_625                15             13    >\n",
       "1828        rpmJ                15             15    =\n",
       "1829  group_2334                 2              2    =\n",
       "1830  group_2320                 1              1    =\n",
       "\n",
       "[1831 rows x 4 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compare_mapping_genes = []\n",
    "for g in joined['Gene']:\n",
    "    p=joined.loc[joined['Gene'] == g,'Family_size'].values[0]\n",
    "    r=joined.loc[joined['Gene'] == g,'Family_size_b'].values[0] \n",
    "\n",
    "    if p>r:\n",
    "        flag='>'\n",
    "    elif p<r:\n",
    "        flag='<'\n",
    "    else:\n",
    "        flag='='\n",
    "    dict_row = {'gene':g, 'GF_size_pandelos': p, 'GF_size_Roary':r,'Flag': flag}\n",
    "    compare_mapping_genes.append(dict_row)\n",
    "compare_mapping_genes = pd.DataFrame(compare_mapping_genes)\n",
    "compare_mapping_genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cb6b8583-b7a1-481b-8672-fcd724dd12a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#compare_mapping_genes.to_csv('/home/claudia/Downloads/comparison_'+species+'.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "17cc1ea2-0d92-418a-9994-8a4e0de45f49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({'>': 931, '=': 890, '<': 10})\n",
      "[50.84653194975424, 48.607318405243035, 0.5461496450027308]\n"
     ]
    },
    {
     "data": {
      "image/png": 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g6uqKjIwM3L9/H1FRUTh37hwOHTqkKaDxqFAKLPv6+hZsA6bExcUhNDQUd+7ckb1WqVIlDB48GHXq1IGPjw/i4uIQERGB9evXy4L9+/btQ9euXXHw4EE4OztrXofS3HcNnT17Ft9//31BwNHe3h6hoaHo0qULKlWqBFdXV8TExODkyZOSH5tGjRqFjz76SBKM+vHHHy3azpOSkrBmzRpJWa9evRAcHGzZShHZKqvOSyIiIoniukxs7ty5snacnJxEWlqarD8vLy/x+uuviz179qi+NOHAgQOiefPmsj6+/PJL1WM0rOvi4lLwd6tWrcSJEyeM1o2KihJNmzaVtdGjRw9Vfefl5YlOnTrJ6pcvX15s3LjRaL3o6GjRtWvXguVdXV2NTqE3580335TVrVu3rti+fbvIy8szWi89PV3MmjVLODo6Sup6eXmJ69evm+3X0svE9u/fL+zt7WVjDg0NNZkv5ODBg4q5mDw9PUV0dLTJPpcvXy6r17RpU3H27FlVY75z545YsGCBaNKkSYleJmaoOC4fVLokpvD7P3bsWJGQkGC0vlKOpN27d4vAwEDxwQcfiCNHjgi9Xm92HHl5eWLLli2iRo0asvGsWbNG9fqMHj1aVt/Dw0MsWLDA6PaelZUlpk+fXnBJnE6nk+VJMXeZ2LRp02T9duvWTdW+IsTD/+XcuXNFjRo1SuwyMSGEGDRokGSMDg4O4u7du5rb2b9/v2x9TV1GW716ddk2Nnv2bFWXE+Xm5or9+/eLV155RVSrVk3zWLUqrsvEevXqJWunf//+Zuvl5eUp1nV1dRVz5841mhMtPT1dTJw4UTHXmdr8UNbad5WOZYWPQx06dDCZj8jwOPT6669L2tLpdOLKlSuqxlLYV199JRvX5s2bNbdDZOsYDCIieoQURzAoPj5eMZlj586dZctmZWWJ9PR0i8aakZEhevbsKekjKChIdQ4Aw/HlP/r27asq2W9iYqIs0amdnZ2qk7xly5bJ+g0MDFT1pTQ3N1cMHjzY6PjVnPRv27ZNVm/AgAGaEl/u2LFDFhAaO3as2XqWBIPy8vJErVq1ZGPu3bu3qjEnJibK8qLk/69NGTp0qGR5X19fkwEQU/JzzpSGkgoG5T/mzJlj0bgePHhgcY6OpKQkWX6xNm3aqKp76NAh2Tq4u7uLAwcOqKq/evVqxUCkmmCQYdC6du3aFuU8ysvLs/hYqcbGjRuL5f/80ksvydq5fPmy4rJnz56VLWtpUt/S2L+KIxi0c+dOxe1o9erVZuuuXLlSVs/FxUXs2rVLVd8LFiyQ1dfpdOLYsWNm61pr31U6luU/Bg8erDm31YULF2TtTJgwQVMbeXl5sgBXlSpVVAXIiEiKwSAiokdIUYNBd+/eNZp8edWqVcU+3rt37wo3NzdJP8buWGZIaYzBwcEiJSVFdf/z58+XtbF48WKz9ZRmFan9Qi/Ew196jSWjVXPS37ZtW0mdhg0bWpQwdvr06ZJ2nJ2dRWxsrMk6lgSDNm3aJFvPypUry2aamXLt2jXZTCqdTicuXrxotI7h/+nll19W3Z81lWQwaMiQISUzaBXOnDkjG4+auxSNGDFCVk/rTK3x48dbFAwyTHA7Y8YMTf2WlpycHFkQv379+praePDggShbtqykjfbt2xtdXikAFRMTU9RVKTFFDQbt2LFDeHt7y9po0qSJqkBCs2bNZHXnzZunaR3Gjh0ra+N///ufpjYsYem+aywYVKVKFXH//n2LxtKlSxdJW+XKldN0t8cdO3bIxpN/Uwci0oYJpImIngDXrl3D559/jgYNGigmX27RogWGDRtW7P36+/ujZ8+ekjKtyWELmzJlCjw9PVUv/8wzz8hyo5w4ccJknWPHjiE8PFxSNmjQIHTp0kV1v66urvjqq69UL1/Y/v37cfDgQUnZ119/DUdHR81tjR8/XpLnIisrC1u3brVoXKZ8//33srKvvvoKZcqUUd1GSEgI3n//fUmZEEKSA8fQ/fv3Jc/LlSunur8nkZ2dncXbXXGoX78+mjZtKikzt7+npKTIcnvUqVNHc6LXqVOnyhLgq/G4bEMODg547rnnJGVnz57F8ePHVbfx559/ypIDm0ocbfjeAI/u+2OJtLQ0REZG4rfffkPfvn3Ro0cPWY4jLy8vrFy5EnZ2pk+JDh8+LPtsadCgAcaNG6dpTLNmzYK3t7ekbO3atbh7966mdrSyZN815bPPPoO7u7tFdV9//XXJ88TERNkxwhTDxNGOjo544YUXLBoLka1jMIiI6BF3/PhxNG7cWPFRq1YtlCtXDtWqVcOHH36IuLg4Wf2KFStizZo10Ol0JTK+GjVqSJ4fPnzYonbKlCmD4cOHa6rj7e0t6//SpUsm6ygFS15++WVN/QLAgAEDEBgYqLne2rVrJc9DQkLQuXNnze0AD4NSnTp1kpTt3bvXoraMyc7OlrUZGBhoUdLPMWPGyBKM79y50+jyhiemRTl5eRJ07tzZ6glSte7vBw4ckCVvHj16tNmTb0Pu7u4WBbQfp21IKXCzdOlS1fUNl3V3d8dTTz1ldHmlwM+j/P4omTp1KnQ6neLDw8MDNWrUwLPPPostW7bIkskHBwdj9+7dqFOnjtl+lI5TY8aM0bwde3l54X//+5+kLCcnB3v27NHUjiWK67O6bNmyJrcrc/r164cqVapIyn766SdVdW/fvi27A9ngwYMREBBg8XiIbBnvJkZE9Ih78OABIiIiLKrbuHFj/P7777IvXqbExMTg4MGDOH36NC5fvox79+4hNTUVGRkZindmyr/bTz7Du5eo1bp1azg5OWmuV61aNckdf5TuDlaY4Rdgd3d3o3faMcXe3h79+/fHwoULNdUzDKy0bdtWc9+FhYSESJ4XvntLcQgPD5fduW3gwIEW3TUuMDAQoaGhkhOfS5cuITExUfHEtFWrVpL/1/79+zFp0iRMnTrV4rvWPc4MA3/F4erVqzh8+DBOnz6Nq1evIjU1FampqcjKylLc3w33b3P7u9IJZ+/evS0aa9++fbFgwQJNdVq1aoW//vqr4PnKlSvRpk0bvPrqqyUWILdUnTp10KpVKxw5cqSg7LfffsOcOXPM3nHq+vXr2L17t6TsqaeeMjl7o0WLFrCzs5Pchv7ll1/Gpk2bUK9ePQvX4tFXqVIlvPLKKxg/frzq2Y0HDhyQlQ0ZMsSi/p9++mnMnz9f1r7WYGdJ77vGtGrVCq6urhbVBR5+do4dOxYffvhhQVn+d46GDRuarLto0SLk5uZKyl599VWLx0Jk62zvmxQRkQ2oXLkyxo0bh3feeUf15Udr167F/PnzsXfvXsnJgVaGtwFXy/BXS7UMLyszFwwynOrfqFEjVbfhVtKsWTNNy9+/f192W+OdO3eicePGFvUPyINxCQkJFrelxPCSOgBo3ry5xe21aNFCEgwSQuDkyZPo2rWrbNnnn38e8+bNk5zYzJw5E7/99htGjx6NQYMGoUGDBhaP5XFjeJmHpfLy8vDzzz9j0aJFOHbsWJHaMre/nzlzRvLc1dUVtWvXtqivJk2aaK4zevRoSTBICIFx48Zh/vz5GD16NPr372/xsackvPDCC5JgUHJyMjZu3Gh2JsayZctkAQBTl4gBgI+PD/r3748NGzYUlEVFRaFRo0YYMGAA/ve//6F79+4oW7as9hV5ROl0OvTu3RuvvvqqpstcDY+DlSpVsmhmKPDwc8MwCKd0nFVSmvuuMcVxHHrppZcwdepUyQ8NP/74o+wSsML0ej0WLVokKatTpw46dOhQ5PEQ2SoGg4iIHmPOzs4oW7YsvLy8ULNmTTRr1gxhYWHo1KmT6unrt2/fxnPPPYd///23WMZkLhhjjI+Pj0X1DINdOTk5RpcVQsiCJbVq1bKoXwCaT2rv3LkjC7TFxcUpXt5nqcTExGJrC1AOLqm5rMKYunXrquoDeDiz7c0338S3334rKY+OjsaUKVMwZcoU+Pv7IzQ0FC1atEDbtm3RqlUrs7MoCrt9+7ZFM1VOnTqluU5R+fv7F7mNCxcu4Nlnny22GWTm9nfD7TEoKMji4GvFihXh6Ohoch83NGDAAAwcOFAS8ACAc+fOYcKECZgwYQKCgoIk21CzZs2sNvPsmWeewdtvv42MjIyCsiVLlpgMBgkhsGzZMklZ9erV0b59e7P9ffXVV/jvv/+QlJRUUKbX67Fu3TqsW7cO9vb2aNKkCdq0aYMWLVogLCxM00zTkhYQEKAYlMnIyEB8fLwsR5AQAgsXLsSWLVuwdetWVcFkIYTk/QGKdgx0d3dHUFAQrl+/XlCmJohf2vuuMcVxHPL19cWwYcMk2+2KFSswe/ZsSR68wjZu3IiYmBhJGWcFERUNg0FERI+4Dh06lFg+gZiYGHTq1AlXrlwptjYNp3CrZUkCZa1SU1NlwRgtCasNaa1b3IEaJYaXdBWV4ckUAIsS+eYzTJ4KQHaiVdicOXNgb2+PuXPnKr4eFxdXcOIKAC4uLggLC8MzzzyDoUOHGj2xyJednW3xZZilragzNM6ePYvOnTsjPj6+mEZkOvgKyLefouxv+fW1zn5buXIlXn75Zfz222+Kr9+8eROrVq3CqlWrADw8We/WrRueeeYZDBgwQFNwsajKli2LwYMHY+XKlQVlO3bswO3bt1GhQgXFOv/99x+uXbsmKTM3KyhftWrVsGvXLgwZMgRRUVGy1/V6PY4fPy5JZB0cHIzBgwfj2WefLbbZapYaO3YsPv30U6OvR0VF4ffff8eXX34p2RZjYmLQtWtXHDlyxGwertTUVOj1eklZUY6BwMPjYOFgkKljIGCdfdeY4pop9vrrr0uCQWlpaVi5ciXGjh2ruLxhXiE3NzeMHDmyWMZCZKuYQJqIyIY9//zzioGgxo0b48MPP8T69esRHh6O2NhYpKamIjs7G0IIyWPKlClWGLlllO6eo+VSgaLWVQqsPOpK4z1T6iOfvb095syZg6NHj6Jfv35mZ2xkZmZix44deOGFFxAcHIxZs2ZZHKB81BRltkpOTg6efvppxZPJdu3a4dNPP8XmzZsRERGBuLg43L9/H7m5ubL9fdSoUZr6NUwebUlesMIsCcy4ublh5cqV2LFjBzp27Gg2V1BaWhrWr1+PYcOGoVq1aliwYIFiDpaSYnhnJL1ej+XLlxtdfsmSJZLndnZ2mk6SmzRpgrNnz+KLL75AUFCQ2eWjo6Mxd+5cNGvWDF27drXKLDm1QkJC8OGHH+LMmTOyWUBxcXEYOnSo2aBIcR8DleqbOgZaa981prhmzTVv3hwtW7aUlBm7TOzq1auyJN7Dhw8vcnCZyNYxGEREZKO2bNmCXbt2Scr8/f2xbds2nDx5EjNnzsTAgQPRpEkTBAQEwMPDQ3H2TuHLGR51SrNEHjx4YHF7WusqJd385ptvZF/ai/ooTqXxnpmbvQM8zDWUf5nAzz//jBEjRsiSZxtKSkrCRx99hNDQUIvzYzwpFi5ciAsXLkjKqlWrhmPHjmH//v2YMmUK+vTpg4YNG8LPzw/u7u6Kl3Np3d8NT9ZMnfSqYXjrdC26deuG3bt3IyoqCt9//z2eeuopo7Nt8sXExGDs2LEYMGAAsrOzLe5bi06dOslmqxi7q1haWprsDoXdunVDpUqVNPXp5uaG9957D9evX8fevXvx8ccfIywszGyi4H/++QetWrWSXab2qKlYsSK2bt0qu6TsxIkTmDVrlsm6xX0MVKpv6hhorX23NBjeZv706dM4ePCgbLmffvpJ9tlmbAYREanHYBARkY3KvyQin729PTZt2oQePXpoasfc9PZHSdmyZWW5lCzNm2BJXV9fX1mZ0qUZjxKly7qKElhRqqslX5S/vz9eeOEFLF++HNeuXUNsbCzWrl2LN99802gi4CNHjuDpp59WfC04ONjqAbfSYLi/e3h4YNeuXZqTgWvd3w23n6JcKpmdnY20tDSL6+erUqUKxo0bh9WrVyMmJgbXr1/HihUr8MorrxgNomzatAnjxo0rct9q6HQ62SyOixcvKt6Zbc2aNbLAguHMIq19h4WFYdq0adi7dy9SU1Nx7NgxzJ07F71791YMDmVnZ+PFF1/Ef//9Z3G/paFixYqKd3+cNWsWoqOjjdYrW7asLLhS1OCyYX1Tx0Br7bul4emnn5blIDKcHZSVlSWb/daiRQvNN3AgIjkGg4iIbJThlOuePXvKpmyrYZir4lGm0+lkAZlLly5Z3F7hW9qrERAQICszvLvYo8bPz09WZvgrtRbnz5+XlSkFydQKCAjAkCFD8O233+Ly5cs4ceIEnnnmGdlyO3fuxNatWy3u53GWlpaGQ4cOScpGjhxpNleKEq37u+FlRzExMRZfLnnmzJkSCcRVrlwZzz77LBYsWICbN29i9+7d6N69u2y5n3/+GefOnSv2/pWMHj1adjmb4QmxUpm3tzcGDBhQbONwcHBA8+bN8c4772DLli2Ii4vDTz/9JJtRpdfrMXHixGLrt6T069cPAwcOlJRlZmZi8uTJRuvodDqUK1dOUlaUY+CDBw9kt3U3dgy05r5bGpydnfHSSy9JytasWSMJGhs+B5g4mqi4MBhERGSDsrOzZXewUnPnGUN6vR5Hjx4trmGVCsNfEyMiImTJQdUyvE29Of7+/rIv8QcOHCjypTMlSSlBbOFksloZ3g5Zp9MVaxLapk2bYtWqVZgxY4bstT///LPY+nmc3L59W5Y43ZL9PS4uTvMJpVKAWWmGixqW1tOqY8eO2L59O1555RVJuRAC69evL5UxVKlSBZ06dZKU/fHHH5JLfa5evYr9+/dLlhk+fHiJJrx2d3fHmDFjEB4eLgv0HT16FDdv3iyxvovL559/Lpvps3LlSsVAdT7DY9StW7dw9+5di/o/ceKEbH80NsvFmvtuaRk7dqzk/2E4E8hwppCXl5diwJ+ItGMwiIjIBindjceSW7v//fffxXLZRmlq3bq15HlaWppslpQaer0eGzdu1Fyva9eukufZ2dlYvXq15nZKS9OmTeHi4iIp27Bhg0UBtLt372Lfvn2Sslq1alm07Znz/vvvy37Nf9RnYZWU4trf//jjD8112rRpIyszdlcvcwrfYas0zJw5UxY0KM1tyPCOYPfu3ZMEo5YuXSqbKVWUS8S0CAgIwLvvvisrP3PmTKn0XxS1atXCc889JynLy8szeVeytm3bysoMczWptWbNGlXtA9bdd0tLUFAQ+vfvLynLT9p+5swZWQ6h559/3mwuKyJSh8EgIiIbpHQnFK23awZg9Hbfj7JevXrJyhYtWqS5nU2bNiE2NlZzPaVLOGbMmFFqyWm1cnR0lM1QiI2NxYYNGzS3tXDhQtmdvZQuxykO9vb2shxCRckP9Tgrjv09JycH3333nea+GzVqhNq1a0vK1q5dqzlX1v79+2WXy5S0cuXKyS6TLM1taMiQIbIE3PmJpIUQ+PXXXyWvNWzYsFRv9W74fwUen33sk08+kd0Va+3atUaDWUq59BYuXCibtWPOvXv3ZMFQpWNsPmvuu6XJMJF0ZGQkdu3apXh3MSaOJio+DAYREdkgT09PuLm5Scp27NihqY3Fixdjz549xTiq0tGiRQvZCdO6deuwe/du1W1kZmZiwoQJFvXfp08fNG7cWFIWFRWFt956y6L2SoNS4twJEyYgPT1ddRvXr1/H559/LinT6XQlmpT3zp07kudK+Y9sQfny5WVlWvf3qVOn4sqVKxb1b3jylpmZibFjx6qeXZaWlmaVE8DMzExZfqPS3IZcXV0xbNgwSdk///yDmzdv4p9//pHlnTGcSVTSDPcv4PHZx6pWrSpL0i2EwJQpUxSXb9mypSxh8+nTp/HTTz9p6nfSpEmyRM5KSZTzWXvfLS2dO3dG3bp1JWVffvklVqxYIVuuVq1apTk0oicag0FERDYqNDRU8nzPnj34+++/VdXdtm0b3nzzzZIYVqlQCryMGDFCVU4FvV6PkSNH4urVqxb1rdPpMG3aNFn5Tz/9hA8//FDzL835Dh06hOHDh1tU15zevXvLZgFER0dj+PDhspk+SpKTkzFgwABZ8Khfv36oWbOmYp20tDRMmDAB169ft2jMf/31l6xuo0aNLGrrcefv7y97n1euXImIiAhV9ZcsWWL29tumvPDCC7K7dO3YsQOjRo1CVlaWybopKSno27evRYmbIyMjMW3aNMTHx2uuCzy8VMVwfKW9DRkGePLy8rBs2TJZ4mhHR0eMGDFCU9tLly7Fn3/+adElnzk5OZg/f76kzM7ODvXr19fclrV88skncHR0lJRt2LABJ0+eVFx+/PjxsrIJEyZg7969qvr75ZdfZO+ZTqfDO++8Y7SOtffd0mT4w8DOnTtl+fQ4K4iomAkiInpkREVFCQCSR4cOHUqkr8WLF8v6cnd3F2vWrDFaJyMjQ0ydOlU4OTkV1ClbtqysHTUM60yZMsWi9Rg1apSknSpVqpitk5eXJzp16iQbQ8WKFcXmzZuN1rt+/bro0aNHwfKurq6yNpYsWaJq3G+88YasLgARFhYm9u7dq6qN27dvi3nz5ok2bdoIAKJMmTJm61jyfgkhxIEDB4S9vb1svJ06dRJXrlwxWu/w4cOibt26snpeXl7i+vXrRuslJycLAMLe3l4MHDhQrFixQqSkpJgdp16vF0uWLBHu7u6yPg8ePKhqXYtKaT9Wu13kW7JkiayNqKgoi8f08ccfy9oLDAwUu3fvNlonOTlZvPnmm0Kn0xnd39VuP3///bfi9l69enXx66+/yv63d+7cEd99950ICAgoWDYkJETyHIAYNWqU0T5PnjwpAAgXFxfx7LPPinXr1on09HSzY83KyhJffvmlcHR0lPRlb28vbty4oWp9i1OdOnUk4wgODpYdewYPHqy53bfeequgvUmTJokTJ06oqhcdHS169uwp+192795d8xi0UNonLP3cyDdmzBhZm/369TO6fO/evWXLlylTRnz33XdCr9cr1snIyBAffPCBsLOzk9V95513zI7RmvtucRzL1Lp//77i94nC65ydnV0ifRPZKunFskREZDNGjhyJWbNmSWa4pKWl4amnnkLTpk3Rr18/VK9eHY6OjoiLi8OJEyewefNmyS1e69ati379+uGLL76wxipYTKfTYfHixWjWrBlSUlIKymNiYtC3b180btwY/fv3R0hICJydnXHnzh3s3bsX27dvl8wU+Oyzzyy+nfLXX3+Ny5cvY/v27ZLy//77Dx06dECtWrXQsWNH1KtXDz4+PnB0dERKSgqSkpJw7tw5nDhxApcuXbJ4JpFWbdu2xZQpU2S3YN69ezfq1q2LLl26oHPnzqhYsSL0ej1u3ryJv//+GwcPHpQludXpdFiwYAEqV65stl+9Xo8NGzZgw4YNcHR0RMOGDdGkSRPUrl0b3t7e8PT0RE5ODuLi4nDu3Dls27ZNdvkMADz77LOKyYxtxTvvvIPvv/9esr3HxsaiU6dOCAsLQ48ePRAcHAw7OzvExsbi4MGD2Lp1qyRBfJcuXVCxYkVZrho1evXqhUmTJsnu8hYZGYmRI0fC3t4eAQEB8PLyQkJCAuLj4yXbjZOTE3799VfZ7BfDBM9KMjMzsXLlSqxcuRKurq5o3LgxmjRpgho1asDLywseHh7IyspCbGwsIiIisG3bNtndFgHggw8+kN1BqzSMHj0a7733XsHz6OhoxWUsFR0djRkzZmDGjBkoX748mjZtisaNG6NChQrw8vKCk5MT0tLSEB0djYMHD2LPnj3IycmRtOHs7Iw5c+ZYPAZrmTRpEpYsWSLJ2bZp0yYcO3YMLVq0kC2/ZMkSNG7cWHKJ3IMHD/DGG2/gyy+/xODBg1GnTp2C7fjUqVNYv369Yp6fpk2bqpq1Y+19t7S4u7tj5MiR+P777xVff+mll2QzuYioiKwdjSIiov+vNGcGCSFEeHi4cHNzM/pLnKlHxYoVRVRUlJgyZYrsNTUM65TmzKB8R48eFZ6enhat/3vvvVfkX02zs7PF66+/blH/So+SnBmUb+rUqUUao6Ojo1ixYoXZfvJnBhXHo0OHDuLevXua1rMoHsWZQUIIsWXLFsXZXWoe9evXF0lJSUXefpRmOZh7ODs7i7Vr1wohhKhYsaLktbfffttoX/kzg4rjMWzYMKvNSrhz545wcHAwOrbAwECRm5urud38mUFFfTg7O4vVq1eXwJpLlcTMICGEeO2112Tt9urVy+jyV69eFTVq1CjSexYaGiqSkpJUj9Fa+25pzgwSQoiLFy9KZjPlP6w1K4/oScecQURENqxJkybYvn27YpJKU1q3bo3Dhw8jODi4ZAZWSlq0aIF///0X9erVU13H3t4e06ZNK5bZUI6Ojvjuu++wZs0ao7lz1PL398drr71W5DGZM3nyZKxatQoVKlTQXLdu3brYuXMnnn32WbPLOjg4yG4Nr5WjoyPGjx+P7du3o2zZskVq60nQu3dvrFmzRvN70bdvX+zbtw/e3t5FHsO0adOwY8cO2Z3ejGncuDH279+PIUOGAIAsobPh3bYKc3Nzg4eHh+WDxcPZCrNmzcKqVausNishMDBQ8S6I+fJnVmnl7+8PnU5XlKGhfv36+Pfff/HUU08VqR1r+uijj+Di4iIp27p1Kw4fPqy4fNWqVXHgwAE8/fTTmt8/R0dHvPHGG9i5c6em/elR2HdLQ61atdClSxdZeZ8+fawyK4/oScdgEBGRjQsNDUVERATee+89eHl5mVy2efPmWLZsGQ4cOCBLCPu4atq0KU6ePInZs2ebDMg4Ojpi0KBBOHbsGD7++ONiHcPQoUNx4cIF/PHHH+jbt6/JE9zC6tSpgzfeeANbtmxBTEwMZs+eXazjMuaZZ55BZGQkZs+ejaZNm5o8IXJwcEBoaCgWL16M06dPo0OHDqr6cHd3R1xcHPbv34+PPvoIYWFhsjvgGVOlShW89957uHDhAubMmQNnZ2dV9WzBoEGDcPr0aYwZMwaurq5Gl7Ozs0PHjh3x119/YdOmTWaPDVp069YN586dw+bNmzF69Gg0aNAAvr6+sLe3h6enJxo1aoRXXnkF27dvR3h4eMFdnO7fvy9LQu7j42O0n5o1ayIhIQE7duzA+PHj0apVKzg5OakaY506dQruwvTBBx8UOWhSVKYuA7P0ErGPPvoIsbGx+OWXX/Dss88iJCREVT1HR0f06tULK1euxKlTp9C2bVuL+n9UVKxYEa+88oqs3PCS2ML8/Pzwxx9/4OjRoxg2bJjZYEv58uXx8ssv48KFC5g3b54s+KTGo7DvlgbDu7YBwKuvvmqFkRA9+XRCGFzIT0RENkuv1+P48eM4d+4cEhISkJubCw8PD4SEhKB58+YIDAy09hBL3JkzZ3D+/Hncvn0bGRkZ8PT0RI0aNdC6detSm12i1+sRERGBqKgoJCYmIjExETqdDh4eHvDx8UGNGjVQu3ZtuLu7l8p4zLl79y6OHTuGuLg4xMfHw97eHn5+fggMDETr1q1VB7fMyc3NxdWrV3H16lXcunULqampyMjIKJgBUrlyZTRo0AAVK1Yslv6edFlZWThy5AguXbqExMRE5OXlwcvLC9WqVUOLFi1MBlqsYefOnejevbuk7J9//kHnzp1Vt5GVlYXIyEhcvXoVt2/fxv3795GVlQU3Nzd4enoiODgYjRo1gq+vb3EP/7GQmJiIK1eu4Nq1a0hISCjIO5N/7KlTpw7q1avHAKuB/M/O6OhoxMfHIzU1FV5eXgV3A2vYsGGx9ve47btq6fV6hISE4ObNmwVlVatWRWRkpNUDskRPIgaDiIiIiOiR9/bbb+Pbb78teG5nZ4fk5GReAkj0hNi0aRP69+8vKfv888/x/vvvW2lERE82BoOIiIiI6JGWlJSEKlWqSO6Q1KRJE4SHh1txVERUnLp3746dO3cWPHdxccGNGzfg5+dnxVERPbmYM4iIiIiIHllCCIwaNUoSCAKgmOeFiB5Px44dkwSCAGD48OEMBBGVIM4MIiIiIqIS9+uvv6JChQro2rWr6jqpqakYNWoUNmzYICn38vLCzZs3H5m8WURkudzcXLRr1w5Hjx4tKNPpdIiIiECDBg2sODKiJxtnBhERERFRiTt48CC6deuGWrVq4YMPPsDu3buRlJQkWy4nJ6fgrn0hISGyQBAAfP/99wwEET0BLl26hP79+0sCQcDDu1YyEERUsjgziIiIiIhK3NixY7FgwQJZua+vL7y8vODs7IyUlBQkJCQgKyvLaDsvvvgiFi9eXJJDJaIS0rhxYwAPL/+MiYlBYmKibBl3d3ecPn0aISEhpTw6ItviYO0BEBEREZHtSkhIQEJCgqplP/74Y3z22WclPCIiKikRERFml5k3bx4DQUSlgJeJEREREVGJa9euHYKDgy2q27VrV+zduxfTpk2DTqcr3oER0SPByckJ3377LUaPHm3toRDZBF4mRkRERESl5vTp09i3bx+OHj2Kq1ev4saNG0hJSUFGRgYcHBzg7e2NcuXKoVatWggLC0PXrl1Rt25daw+biIpB4WCuTqeDu7s7qlWrhs6dO2Ps2LGoUaOGFUdHZFsYDCIiIiIiIiIisiG8TIyIiIiIiIiIyIYwGEREREREREREZEMYDCIiIiIiIiIisiEMBhERERERERER2RAGg4iIiIiIiIiIbAiDQURERERERERENoTBICIiIiIiIiIiG8JgEBERFTshBLZt24bXXnsNzZo1Q2BgIJydnaHT6SSPU6dOWXuoT4znn39e8t4GBweXaD0yzXBb//TTT609JCIik6Kjo2XHrqVLl1p7WFQMgoODJf/X559/3tpDokeAg7UHQERET5bz589j+PDhiIiIsPZQiIiIiIhIAYNBRERUbM6fP4/WrVvj/v371h4KEREREREZwWAQEREVm+HDhysGgnx8fBAYGAhHR0dJuaura2kNjYiIiIiI/g+DQUREVCx27twpuzSsdevW+PHHH9G4cWPrDIqIiIiIiGQYDCIiomKxYcMGyXM3Nzds3LgRfn5+1hkQEREREREpYjCIiIiKxdGjRyXPO3fuzEBQKVq6dCnv+vIIEUJYewhERJoEBwfz2PWEio6OtvYQ6BHEW8sTEVGxuHHjhuR5rVq1rDQSIiIiIiIyhcEgIiIqFvfu3ZM8L1OmjJVGQkREREREpjAYRERExSIrK0vyXKfTWWkkRERERERkCnMGEZFqOTk5OHToEK5fv447d+4AAHx9fVGvXj00b94c9vb2pTKOyMhInD9/HvHx8YiPj4ezszN8fX1RqVIltG7dulRuV3727FmcPHkSsbGx0Ov18PX1RVBQEEJDQ0tsRkxqaiqOHj2Ku3fvIj4+HpmZmfD19YWfnx+aN2+OihUrlki/1hYXF4eLFy/i6tWrSElJwYMHD+Dh4QEfHx9UrFgRLVu2hLu7e6mN5ciRI4iKisL9+/fh5uaGKlWqoG3btggMDFTdTlRUFI4fP45bt24hIyMDvr6+qFKlCjp06AAXF5cSXAMylJSUhNOnT+Pq1atITU3FgwcP4OTkBDc3N/j7+yM4OBg1a9aEl5eXtYdaqs6ePYvIyEjExcUhMTERbm5u8PPzQ3BwMFq0aAFHR8di6+v+/fs4c+YMLl++jJSUFKSlpcHR0RFubm4F+0aNGjUeqRxker0ep06dQnR0NBISEpCUlAQHBweULVsWwcHBqFOnDipXrlwsfaWkpODo0aOIjY1FfHw89Ho9/P394e/vjxYtWpTK+5KXl4fw8HCcOXOmYAzlypVDo0aNNH3+Z2Zm4tixYzh//jySkpLg7OyMgIAAtGzZEjVq1CjRdbh//z4OHz6MK1euICUlBW5ubqhQoQLq1auHevXqFWtfer0e165dw8WLFxETE4PU1FTo9Xp4e3vD29sbtWvXRoMGDWBnVzq/y1+5cgURERG4desW0tLS4OTkhPLly+O5554rsT5L+9gqhMCZM2dw5coVxMfHIykpCZ6envD390dISAiaNm1aKu/3vXv3Craze/fuwd3dHX5+fmjatClq165d4v1bizW+F1MxEEREZly/fl288MILwtvbWwBQfPj4+IgJEyaIuLi4gnpLliyRLRcVFWXRGK5duyZef/11UbVqVaNjACBcXFxEt27dxN9//625j6ioKFl7S5YsKXg9MzNTzJ07VwQHBxvt38nJSQwaNEicO3fOovU0lJmZKb777jvRvn174eDgYHLd69atK2bOnCnu379fLH2bsnv3bpNjUfMwJjU1VaxYsUKMHDlSVK5c2Ww79vb2onnz5mLRokUiKyvLovUZNWqUpM0qVapIXt+xY4fo1KmTsLOzMzqG/v37i/PnzxvtQ6/Xi2XLlolGjRoZXZcyZcqIMWPGiISEhGJfh+KoN2LECMmydnZ24tq1a5rHWtjJkydl78Pbb79dpDbNycjIEPPmzRMtWrRQta3qdDpRu3Zt8corr4gdO3aInJwcs30YtjFlyhRNyxfHo/DxS42IiAgxevRoUaFCBZPturu7i4EDB4pDhw5par+w3NxcsXTpUpP7leEjJCREPPfcc2L9+vUiIyPD4r6L4q+//hIDBgwQnp6eZsdbuXJl8dJLL4m9e/dq7icnJ0csXLhQhIaGCnt7e5PbZvPmzcWcOXNEZmam5n7Mfe4lJyeLDz/8UPj5+RkdQ8WKFcXXX39tcr+4du2aePHFF4W7u7vRdurXry82btyoeR3Mfdc4efKkGDJkiHBycjLad+3atcWXX34psrOzNfef7/Lly+Lzzz8X3bt3F2XKlDG7fXh6eoqhQ4eKw4cPW9ynqeNMWlqamDVrlsnvTYbMbQ/mlMax1dClS5fEiy++KMqXL2+yr3Llyonhw4eL8PBwzX0IYf6zMn87c3R0NDqGKlWqiHnz5hVpO7NUlSpVJGMZNWqU2TqP4vdiKl4MBhGRSd9++62qLzX5D19fX7Ft2zYhRPEEg+7duyfGjRtn8sPV2CM0NFRcv35ddV+mPvTOnj0rateurbpve3t78eOPP2paV0MrVqwQQUFBmtfbz89P/P7770Xq25ySCgZNnDhRuLi4WNxmpUqVxH///ad5fYx9ycvKyhIvvvii6v6dnZ3Fb7/9Jms/JiZGhIWFafofRkREFMs6FGe9w4cPy8b6/vvvaxqnoVdeeUXW5sWLF4vUpim7d+8WISEhRdp2t27darYfwzqPcjDo9u3bYvjw4UKn02nuY8CAASIxMVFVP/kiIiJEw4YNi7RuRT2+arV7927RpEkTi8f7xhtvqO5r165dolatWpr7qFy5sli3bp2m9TL1ubdv3z6zJ9iFH2FhYSIpKUnWx8KFC4Wrq6vqdsaOHSvy8vJUr4Op7xrTp083+0NK4Uf9+vU1BwsSEhKKtG0AEP379xfJycma+hXC+HHm8OHDqn5MMVSUYFBpHVvzPXjwQLz66qua/r/AwwDUiBEjFLdVU4x9Vur1evHxxx+bDNoaPpo0aSLu3r2rqf+iKu5gkDW+F1PxYzCIiIyaNGmSRR/mDg4OYtOmTUUOBkVHR4v69esX6YtFQECA6l+vjX3oHT16VJQtW9ai/hcuXKj5fdfr9eLtt98u0noDEJMnT9bct1olFQzq0KFDkdt1dHQUv/76q6b1UfqSl5OTI3r37q25f3t7e8nMtOvXr1v0BblcuXKa9pfSCAYJIWS/+Pr5+Vk8I+vevXuymQKdO3e2qC01tmzZIpydnYu8jT1JwaBTp06JSpUqFamfGjVqiEuXLqn6Hxw/flx4eXkVed1K86Ti66+/1nSip/RQc+IlhBC//PKL5pPbwg+dTidmz56tet2Mfe79+++/Fu0rHTp0kMx6+Oyzzyxaj3fffVf1Ohj7rvHee+9Z1Lenp6c4duxYkd5DS/ejmzdvqu5XCOXjzN69e1X/qKJmXdQcR0rz2CqEEPHx8aJVq1ZF6qtu3bqafjBU+qzU6/Xi2Weftaj/WrVqlcpM7nzFGQwq7e/FVHKYM4iIFH3zzTeYMWOGrNzJyQldu3ZFp06dUKFCBeTm5uLWrVvYvn079u/fj7y8POTm5uJ///sf3n33XYv7v379Olq1aoW7d+/KXmvZsiXatWuHWrVqwdvbG9nZ2bhz5w4OHjyIrVu3ShIZ3717F3369EF4eDiqVKmieRy3bt3CxIkTkZqaCgBwcHBAx44d0alTJ1SsWBEuLi64c+cOdu/ejS1btkCv10vqjx8/Ht26dUNwcLDqPp999ln8/vvvsvIKFSqgS5cuaNKkCXx9feHi4oKkpCScPHkSW7duld3a/bPPPoOfnx9ef/11zettjru7Oxo1aiQpi4iIkDwPCAjQlEfHkE6nQ4MGDdCgQQPUqVMHfn5+KFu2LOzt7XH//n1cu3YNx44dw+7du5GTk1NQLycnBy+//DLq1auHpk2bWtz/xIkT8ffffxc8r1OnDvr27YsaNWrA09MTiYmJ2L9/P/7880/JNqfX6/HCCy/g8uXLsLe3R79+/RAVFVWwTqGhoejWrRuCgoLg6uqKmJgYbN26Fbt27ZL0n5iYiHHjxmHLli0Wr0NJGDduHJ5//vmC5/Hx8Vi7di2GDx+uua3ly5cjLS1NUvbqq68WdYiKEhMTMWrUKFmicwcHB4SFhaFt27YIDg6Gh4cHgIc5uuLi4nDu3DmEh4fj4sWLJTKufIb7k1ZXrlxBenq6pjrHjx9Hp06dZP8DOzs7tG/fHm3btkVISAi8vLyQkZGBW7duYe/evfjnn38kx7orV66gd+/eOHHiBDw9PY32l5WVhREjRiAlJUVSrtPp0KZNG4SGhqJatWoF+3lqaioSExNx/vx5REREICIiAkIITetYVB999BFmzZql+Fr16tXRvXt31KpVC35+fhBCIDk5GZcvX8bx48dx9OhR5Obmqu5r+fLleOGFF2Tl+e9Pr169EBQUBAcHB8TExGDnzp3YvXu35H8hhMB7770HnU6HCRMmaF9hPPz8ffvttwv2FTc3N3Tv3h1hYWEIDAxETk4Orl69ij///BPnzp2T1N27dy+++eYbTJw4EStXrsTkyZMLXgsICECfPn3QtGlT+Pn5IS0tDREREfjjjz9kn/Vff/01nnrqKbRq1cqidVizZg1mz55d8NzFxQW9evVC+/btUb58eaSlpeHq1atYv349Ll26JKl77949dOvWDSdOnEDVqlU19+3u7o4WLVqgTp06BZ8XHh4eyM7ORnJyMs6fP4/du3fjwoULknpXrlzBsGHDsHfvXjg4WHaKFhsbi8GDByMzM7OgrGXLlujevTuqVKkCDw8P3LlzB+fPn8eaNWss6sNQaR9bMzIy0KlTJ5w9e1b2mq+vLwYNGoSGDRvC398fiYmJuHDhAv7880/cvn1bsuz58+cRGhqKU6dOwcfHR+NaPzRp0iSsXLmy4HlQUBD69OmDBg0awNfXF2lpaQX9538PyHfp0iV88MEH+P777y3q21qs8b2YSpCVg1FE9Ai6dOmS4pTuHj16mJypcPLkSdGsWbOC5ZXaUDPTISsrS/F68759+5rMySKEEHfu3JHlNQEgWrRoIXJzc03WVfoFpPCva7169RKXL182Wj8iIkLxuukxY8aYXed8c+fOldWvVKmSWL16tcnx5+TkiEWLFslmWTg5OYnjx4+r7r8oDMdtbiaEkk6dOonu3buLFStWSPJPmRIfHy/eeOMN2SUu9evXV92v4S9+Tk5OBe35+vqKP/74w2jdyMhIxUs6Zs6cKd54442C502bNjX5v9i6datwc3OTtXPw4EGL1qGkZgZlZmYKX19fSZ327dur6stQgwYNJO2UL1++xHIpTJs2TfbeduvWTfUvw1FRUWLu3LmiRo0aJTIzqCjWr18vy7vj4uIiTpw4YbROUlKS4vFq9OjRZt+TyMhI0aNHD1ndwYMHm6y3fPlyWZ2mTZuKs2fPqlrPO3fuiAULFogmTZqUysygNWvWKP6y3bhxY7F9+3az9RMSEsSiRYtEw4YNzf4Kf+XKFcV8OvXr1xdHjhwxWu/8+fOidevWsnqOjo6qZrcofe4VnuExbNgwcfv2bcW6er1ezJw5U1bfy8tLXLhwoWB97O3txfTp043mebp3754YOHCgrJ3u3bubHb8QyjODCn929+nTR8TExBitv2zZMsXZap06dVJ1uVpUVJTw8vISr7/+utizZ4/qY9iBAwdE8+bNZf1++eWXquoLIT/OFJ7B1rBhQ5OfH0r/D0tmBpX2sXXMmDGK6/3RRx8Z3cZyc3PF7NmzFWcvDRo0SNU4TX1P8PDwEAsXLjT6PS07O1t88MEHiuO+deuWqv6LqrhmBpX292IqWQwGEZFMz549ZQfup556ymwwRQgh7t+/L9q2bav4BRpQFwz68MMPZfU+//xzTeswZcoUWRvm8uiYmur98ssvC71eb7bfyMhIWRCsbNmy4sGDB2brnjlzRpYbqXXr1iIlJUX1ep86dUo2dbdnz56q6xeF4XtmycmvlnU1tHTpUtkY1JywCSH/kpf/CAwMVJW/5tq1a7Jp+eXKlSs4Qe/YsaNIS0sz286KFSsUtz1L1qGkgkFCCMUvtWfOnFHVX759+/bJ2vjkk080taGF4UlX7dq1LUq4m5eXJ9LT080uVxz7gxr79u2TbXt2dnbizz//NFnvf//7n+ykZMWKFar7zcvLE6NHj5atp6lkuEOHDpUs6+vra1GydCGEqmNqUcTFxQkPDw/Fz0JLtpvo6GiTr3fr1k3WV7NmzVQdEzMyMkTnzp1l9Rs0aGC2rqnPvfHjx6taN6W8X/7+/gXb1V9//WW2jaysLFG3bl3Zdnzjxg2zdZWCQfmP4cOHq/rsPnr0qOL/W80lx1lZWaqOCUoyMjJk37mCgoJUJ1I2tt7t2rUT9+7d0zweS4JBpXls3b9/v2x8dnZ2qi8N37Jli2IOyrVr15qta+x7go+Pjzh16pSq/l9++WVZ/WnTpqmqW1TFFQwq/N2kpL8XU8ljMIiIJK5cuSKbYREcHKzpi05MTIzilyrAfDAoKSlJ9uvo2LFjLVoXwy/XjRs3Nrm8sQ+9li1barrDhVKegl27dpmtN3z4cEmd8uXLa05wKIRyQOHkyZOa29GqtE5+TTE82XzqqadU1TP2JU9tMEkIIV577TXFNnx9fUVsbKzqdurUqSOpX6lSJYvWoSSDQdevX5flUBk3bpyq/vIZbu/29vaqTvws5ePjI+lvxowZJdaXEKWzP5w7d07xLo8//PCDyXoXL16UzSTSGnAX4uGv3Ybb68CBA40u37RpU9nJxKNK6UeJ9u3bq/pRRKszZ87I+vLw8NA0YyAlJUUEBgZqPoYZ+9xr3769qhM9IR7O2DKWU0lLgPf333+X1V+8eLHZesaCQTVr1tSUz0zpB4VmzZqprm+pu3fvymaFbtmyRVVdpfX29PS0eLaJJcGg0jy2DhkyRDY+tUHLfJ9//rmsjTZt2pitZ+x7gppgZ77ExERZ8D40NFTT+C1VnMGg0vpeTCXPDkREhSxatEiWk2HWrFlwdXVV3UaFChXw/vvvW9T/Dz/8IMlf4e7uji+++MKitgrnKgCAU6dOITo6WnM7X3zxhabr90eMGCErO3HihMk60dHRWL16taRs+vTp8Pb2Vt1vvuHDh6NGjRqSsg0bNmhu53E0cuRIyfP9+/db3FbXrl3RvXt31csPGTJEsfydd95BQECAxe3cunUL8fHxquuXhsqVK6Nv376SsuXLl+PBgweq6ickJODPP/+UlPXp0wdBQUHFNkZD9+/flzwvV65cifVVGm7duoWePXsiOTlZUj5p0iS89tprJut++eWXyMvLK3geEhJiUX4ZR0dHfPTRR5KyrVu3SvKVFPa4/A/S0tLwww8/SMqcnJywfPly2NvbF3t/SjlDPvnkE1SsWFF1G56envj8889Vta3GrFmzYGen7jQhMDAQbdu2lZV7e3tr+i7Qr18/ODk5ScrCw8NV1zc0Z84cWXumjBw5Es2bN5eUnThxAsePH7d4DGr4+/ujZ8+ekrKifHaNHz9e07ZTVKW1X8fExMi+y/j7++Ozzz7T1M748eNl35EOHTpk0bbWoUMH9O/fX/XyPj4+6N27t6Ts1KlTkuPx46A0vhdT6WAwiIgk/v33X8lzb29vDBo0SHM7zz//vOovkoWtXbtW8vypp55C2bJlNbcDAG3btoWXl5ekbO/evZraqFGjBjp27KipTr169VCmTBlJmWGCSkMbNmyQJBotU6YMnnnmGU395tPpdOjVq5ekTOt6P64Mv+DduXNHllhbrRdffFHT8k2aNFEsV0oIq7Udc9uPNRgmJk9NTcVvv/2mqu4vv/wiSzZaUomj8xmeoBTlZMvaUlJS0KtXL9y8eVNSPnr0aEyfPt1kXSEE1q1bJyl7/vnnLQ5yGJ7YZGVl4ciRI4rLPi7/g7179xYkR803bNgwi25CoMbOnTslz52cnDQffwDgmWeekSXCNUwwrUatWrXQrl07TXWUjlvDhg2TfRaa4ubmhlq1aknKLD32VahQQbZtmqPT6fDyyy/Lyrdu3WrRGLQw/Ow6fPiwRe3odDrNnzlFVVr79b///ivblkeOHKlpGwMeBrGV/s+G+6EaSu2Y07JlS8nztLQ0xMTEaG7HWkrrezGVDgaDiKhAZmam7I5QXbp0gbOzs+a2KlasaPTk2Jjk5GScOXNGUqb0a6NadnZ2si/vJ0+e1NRGWFiYRf0a3iXh3r17JusYBmsaN24MNzc3zX3nCwkJkTzXut6PiqysLPzzzz+YO3cuXnjhBfTr1w8dOnRAs2bN0LhxY9lj8ODBsjYsDQZp/d97e3sX3C0lX40aNTTfUU3pDhuGd196FHTt2hW1a9eWlP34449m6wkhsGDBAklZ1apV0aNHj2IdnyHDuxKtXLkS8+fPL/W7UxVVZmYm+vfvL7uTTu/evbFw4UKz9U+fPi2bTVSU46yPj4/sDmLGjjeG/4P9+/dj0qRJmu64VRr27NkjK3vuuedKpK+7d+/i2rVrkrLOnTtbdHcjZ2dn2SyF/Dt2aWHJ555SoKx9+/aa2zE8/ll67Ovfv79FP0gpfYZYEpiJiYnBmjVr8Mknn2DYsGHo2bMn2rZtiyZNmih+di1dulRS39LPrerVq6NSpUoW1bVUaR1bDxw4ICsbOnSoRW09/fTTqto3p0OHDprrVKtWTVZm7jvio6S0vhdT6eCt5YmowMWLFyW36AZQpFtzN2nSRNM00EOHDsmmys6aNatIt92MjIyUPE9ISNBU3/DXOrUMT47MfegZfgk5d+4cGjdubFHfAJCUlCTrPycnB46Ojha3WZoiIyPx+eefY+3atUX+wmDJyYSrqysqVKiguZ6Hh4dkynz16tUtasPQo/qlady4cXjjjTcKnp88eRJHjhwxeTvo7du3y05+x4wZA51OV2LjBB7Omvnrr78KngshMG7cOMyfPx+jR49G//79Ld7fS0teXh6effZZ7Nu3T1LesmVLrFmzRtW0faUTnjfeeMOioH8+w1vaGzvOPv/885g3b57kJHHmzJn47bffMHr0aAwaNAgNGjSweBzF5dChQ5LndnZ2aN26dYn0pfQZaXipkhYtWrSQBRbCw8M1fZYX13GrONqx9NjXrFkzi+r5+voiKChIMutOy/eYtWvXYv78+di7d2+RLv2xNAhWlO9sliqtY6vhZVwODg5o1KiRRW1VqVIF/v7+iIuLM9q+OS4uLhYF3gy/HwKP7me8ktL6Xkylg8EgIiqQmJgoK1OapaCW4ewUc27duiUrMzxpLCqldTTFkl9nAciCLoZBtsKys7NlOWFSUlKKfTZIUlKSptw11vLZZ59h5syZssuILGXJFw5LcjUB8v+7Je0oBexMbT/WNGrUKHz00UeSANiPP/5oMhhkOHvI2dkZo0ePLrEx5hswYAAGDhwoyzlx7tw5TJgwARMmTEBQUBBCQ0PRokULtG3bFs2aNdOUF6GkvfHGG7JLvGrWrIktW7aonkmodJy9ePFisYwvn7HjbOPGjfHmm2/i22+/lZRHR0djypQpmDJlCvz9/SX/g1atWhUpUGWJu3fvSp4HBwcrBjuKg1LgrE6dOha3V7duXVV9mFJcx63iaMfSY5/h5WZa1K5dWxIMio+PhxDCZMD69u3beO6552SX2lvK0hNlf3//Yulfi9I6thpuxyEhIXBxcbF43HXq1JEEg7TuJ8X1/RB4dD/jlZTG92IqPbxMjIgKGF46ACj/gqGW1rpaAzWWyMjI0LR8acykKY31BrSvuzWMGzcOU6ZMKbZAEGDZF47i+r8/LjOxLOXh4SG7fGb16tWKxxLgYSBiy5YtkrKhQ4fCz8+vxMZY2MqVKzF8+HCjr9+8eROrVq3C+PHj0bp1a3h7e2Pw4MFYvXp1sW6Tlpg+fTrmz58vKQsMDMS2bdvg6+uruh1rH2fnzJmD8ePHG309Li4O69atw4cffogOHTrAy8sLPXr0wJIlS2SJakuK4cxKS4PDaijtK4a57rRQGqvh+pjzJBz/ivO7S15ensltLyYmBh07diy2QBAAiy+dtDTHYlGVxrHVcF8pyn4CyPeVrKws2SxHU570z3djbHW9n1QMBhFRAaUPZC134jCk9ddcYyeQTzpbXW9DK1askJ3sAg9/hXrxxRfxyy+/YN++fYiOjkZycjIyMjIghJA8oqKirDBy22aYSDojI0N2mUq+hQsXyhKAlnTi6MLc3NywcuVK7NixAx07djR7aVpaWhrWr1+PYcOGoVq1aliwYIFVcgz98ssv+OSTTyRlHh4e+PvvvzXPwLT28cbe3h5z5szB0aNH0a9fP7OzAzIzM7Fjxw688MILCA4OxqxZs0o8x5Bh8mh3d/cS60spyKA1Ia65uqUVRHuUlOZ7+Pzzz+PKlSuy8saNG+PDDz/E+vXrER4ejtjYWKSmpiI7O1v22TVlyhSLx1uYtWYylsax1fB/UJT/sbH6trivkG17dOY+E5HVKf2SVpQPRsMv1OYo3b7+1KlTFl8T/rhQWu+3334bX3/9tRVGYx05OTl47733ZOUffPABJk+erPgeKXkcZj89aerUqYPOnTtLfhX/6aef8Pbbb0tOCHJzc7F48WJJ3fr162u+a1Fx6NatG7p164br169j8+bN2Lt3Lw4cOIDbt28brRMTE4OxY8diy5YtWLt2bZEC5Vps2bIFY8aMkZQ5OTlh3bp1mpP0A8rHm+Tk5CL/yq5VixYtsHHjRsTFxWHz5s3YvXs3Dhw4YDKgm5SUhI8++gh//fUXtm3bVmJjLlu2rGQ2TVpaWon0Ayjn2nnw4IHF7SnVLalL3B5lpfUebtmyBbt27ZKU+fv749dff9WUFP9J+ewqyWOrh4eH5PL5ovyPjdW3xX2FbBtnBhFRAaXp5UW5pEBrXaVLHWxhpoetrndhe/fuxZ07dyRlb7zxBmbNmqU6EARovxyCiofh7KDLly/LLpnYsGGD7H9cmrOClFSpUgXjxo3D6tWrERMTg+vXr2PFihV45ZVXjCYG3bRpE8aNG1cq4zty5AiefvppyUwYnU6HJUuWoGvXrha1qXS8iY6OtnSIRebv748XXngBy5cvx7Vr1xAbG4u1a9fizTffNJqoNP99KSmGt8ouydlUSp+7RckXp1TX0hwfj7OiJKc1rGtnZ2c0SLBq1SrJc3t7e2zatEnz3RGftM+ukji2Gu4rRc2raFjf2dm5SHdxJXocMRhERAWCgoJkZYa3etfi9OnTmpZXSm6stY3HkYeHhyzgYQvrXdjOnTslz+3s7DBp0iTN7RR3wnFSp3///rLjx08//WTyubu7O0aMGFHiY9OicuXKePbZZ7FgwQLcvHkTu3fvRvfu3WXL/fzzzzh37lyJjuXy5cvo27evLIfFV199ZTI3hzmP+nE2ICAAQ4YMwbfffovLly/jxIkTeOaZZ2TL7dy5E1u3bi2RMQQGBkqeR0dHl9jlI0r5si5cuGBxe+fPn5eVackp9aS4fPmyxXUvXbokee7n52f0sifDz66ePXuiZcuWmvt80j+7iuPYarivREVFFSmXm+G+Yov7CRGDQURUoHLlyrIvwYcPH7aorby8PBw7dkxTHaU7EJXUl/1HjeGXx6ioKNkX0idZ4Tu3AA/vkGTJnc8MbwlNpcPe3h5jx46VlBWeCaQ0U+jZZ5+1WrJTtTp27Ijt27fjlVdekZQLIbB+/foS6/fOnTvo0aOH7O4248ePN5l8WQ2lE9VH+TjbtGlTrFq1CjNmzJC99ueff5ZIn23atJE8z8vLK7Fji9KtwI8fP25xe0qfu5beZv1xpuV28IUlJCTgxo0bkjJj7192drbkblQA0L59e8196vV6HD16VHO9x5klx1bDfSU3NxenTp2yqP8bN27I/ne2uJ8QMRhERBKtW7eWPD969CiuXr2quZ1du3bJbs9rTpUqVVC9enVZ/0X5he9x0a1bN1nZihUrrDAS6zA86bXksoacnBzZrW2p9Lz88suSpPGFcwT99NNPsuSghsGjR9nMmTNhb28vKSup2TSpqano1auX7NKt//3vf/jqq6+K3H7btm1liVO3bNli9cTS5rz//vuyy7dK6n/QsWNHWdny5ctLpK+AgABUrVpVUrZ7926LLhvKzs7Gxo0bJWXu7u5o2LBhkcb4ONq4cSPy8vI011u3bp2szPB7UT6lW5Fb8tn1999/l2heqkeZlmNr27ZtZWVr1661qN81a9aoap/oScdgEBFJDBs2TFb25Zdfam7HkjoAMGDAAMnzvLw8fPbZZxa19Tjp37+/rGzevHlPXB4BYwxPTpW+ZJvz22+/yXLSUOnx8/OT5XFZtGgR0tLSsGzZMkl5mzZt0Lhx41IcXdGUK1dOdolCUXKSGJOdnY1BgwYhIiJCUt6lSxcsXbrU7B161HByckLPnj0lZffv38ecOXOK3HZJsre3l+UQKon/AQB06NBBlp9k9erVuH79eon0Z5hfJisrC0uWLNHczh9//CHL1de5c2fZybYtiImJsWjG288//ywr69Wrl+KySnejsuSza+7cuZrrPCm0HFu7dOki25aXL1+uOZF0bm4uFi1aJCtXumyN6EnHYBARSQwePFh2ec6iRYvw33//qW5j6dKlsrtrqPXuu+/CxcVFUrZy5Ur88ccfFrX3uGjQoIEsIJSamornnnvOol83Hzfly5eXPL98+bKmpLZ3797FhAkTinlUpJVhIumbN2/i+eeflwU1rZ04WqvMzEzZzBmlXC9FIYTAqFGjZJfTNW7cGOvXry/Wu5cp5eOaPXs29u/fX2x9lATDYG9x/w/yubm54Y033pCUZWdnl9jxWClp7rRp0zQFt1NTU/H+++/Lyg3Xw5ZMmDABOTk5qpdfvny57HKtpk2bonnz5orLe3p6yhIO79ixQ9MYFy9ejD179miq8yTRcmytUKECBg0aJCm7e/cupk6dqqnPb775RnYZfrt27Sy6OyPR447BICKScHJykn2hzMvLQ79+/XDgwAGz9VevXi27BlyL8uXLK34xfuGFFyzOD6HX6/HHH39YlJC4NH322WeyX73+/vtvjB49GpmZmRa1ee7cOYwcOfKRvwREKc+C0omNkqSkJPTt29eiX2SpeLVs2RItWrSQlBnutz4+PnjqqadKc1iIjIzEtGnTEB8fb1H9BQsWyBKVNmrUqDiGVmD8+PH4/fffJWUhISHYunVrsd/uuEmTJhgyZIikLCcnB4MGDdIU+C8sKysLCxcuxNdff634elpaGiZMmGDx7Jq//vpLVre4/weFvfXWW7Jb1+/btw//+9//LEpaa2q969WrJ5uVcO/ePQwaNEhV4uqsrCwMHTpUFjxq2LChxXedexJcvHgRL774ouwSVSXh4eGyYDbwcDswJTQ0VPJ8z549+Pvvv1WNb9u2bXjzzTdVLfuoKu1j6zvvvCMrmzNnjuzYacz27dsVvwu+++67quoTPWkYDCIimbfeekuWQDM1NRVhYWF49dVXZYkZ9Xo99u7di6eeegrDhg0r+CXOsA21pk+fLktymp6ejqFDh+Kll15SncPo7NmzmDx5MmrWrIlnnnlGdunFo6ZRo0aYPXu2rPzXX39F69atsWnTJlVfapOTk/HLL7+ge/fuaNCgAZYvXw69Xl8SQy42PXv2lJ3wrl69Gi+99JLJKeA7duxA69atCxKuPuoJiW2B0glVYaNHj5bN/itpaWlpmDx5MipXrowRI0Zg/fr1yMjIMFsvOzsbX331FSZOnCgpt7e3V7zDlaXmz5+Pb775RlLm6+uLbdu2yZL6F5cFCxYgJCREUpaQkIAuXbpg4sSJiI2NVdXOkSNH8O677yI4OBhjxowxenzOzc3FnDlzUK1aNQwaNAgrV65UdZlXXl4eli5dqnjnuZK8G52Pjw+WLVsmuzRv9erVaNOmjarZr/nH4kaNGmHKlCkml50/f77sGHjkyBGEhYUhPDzcaL2LFy+ic+fOsrtaOTo6Kl7yZCvyjzHLly/HwIEDTc6yWrlyJbp27YrU1FRJeadOnfDcc8+Z7Mfw0ljg4eX2pnLZZGZm4rPPPsOAAQMKjkOP62dXaR9b27ZtK5tZmpeXh+eeew6ffvopsrOzFevp9XrMnTsXAwcOlC0zaNAg2YwjIlvhYO0BENGjx87ODitXrkRYWBhu3bpVUJ6Xl4effvoJP/30Ezw8PBAYGAi9Xo87d+7IPvz79OmDIUOGyO7AoiZ3gYuLC9avX4/WrVvL7jL1888/Y+nSpWjevDk6dOiA4OBg+Pj4QK/XIyUlBXFxcTh16hSOHz+OmJiYIrwL1jF+/HicP39e9iU+IiIC/fv3R+XKldGpUyc0btwY5cqVg4uLC+7du4fk5GRcvHgRJ06cwLlz55Cbm2ulNbCMt7c33nnnHVl+qJ9//hkbNmzAU089haZNm8Lb2xspKSm4du0aNm/ejDNnzhQsa29vj2+//RajR48u7eFTIcOGDcO7776rOFNLp9NhzJgxVhjVQ5mZmVi5ciVWrlwJV1dXNG7cGE2aNEGNGjXg5eUFDw8PZGVlITY2FhEREdi2bZvsjjMA8MEHHyAoKKjYxqV0JyE7OzvFE00tPvvsM8V8ZMDDXB0bN25EaGioJCiTm5uLr776CvPmzUObNm0QFhaGSpUqwdvbG1lZWUhJScGdO3dw8uRJHD9+XPOMAL1ejw0bNmDDhg1wdHREw4YN0aRJE9SuXRve3t7w9PRETk4O4uLicO7cOWzbtk12dyfg4d3oLP3BQa3+/ftj0qRJmD59uqT85MmT6NatG2rUqIHu3bujVq1a8PPzgxACKSkpuHz5MsLDw3Ho0KGCH0fMXYJSrVo1/PDDDxg5cqSk/NSpU2jRogXatWuHnj17IigoCPb29oiJicGuXbvw77//Kh7vZ86cafTyJlvw2Wef4b333gPwMJn0zp070bt3b4SGhqJ8+fJ48OABIiMjsX79ely8eFFW38vLC4sXLzabp2vkyJGYNWuWJAialpZW8JnVr18/VK9eHY6OjoiLi8OJEyewefNmSW6nunXrol+/fvjiiy+Kae1LX2keW+fMmYN9+/bh7NmzBWW5ubmYOnUqfvzxRwwaNAgNGzaEr68vkpOTcf78eaxbt07yfTZfUFBQwY0OiGwRg0FEpCgkJAR79+5F586dFae3379/3+j09Y4dO+L3339XnLar9tevChUq4OjRoxg2bJjssgW9Xo8jR47gyJEjqtp63CxatAghISGYPHmyLD/FjRs3sGzZMllC3ifBxx9/jL1792Lv3r2S8sTERPz0008m6+p0OsyfP1/xLkBUupydnfHSSy/h888/l73WtWtXWRJga8nIyMChQ4c03zJ82LBhZmd5FIe4uDjFkyUtzCWgr1+/Po4dO4bBgwdLTqyAh7/cK+2PxSknJwcnTpzQfBvwDh06YP78+SU0Kqlp06bBx8cHEydOlM2wvHLlCq5cuVJsfT333HPIycnBmDFjJAGevLw87Nu3D/v27TPbhk6nw6xZs2w+h9pTTz2F+Pj4gptZZGRk4M8//1R1ubmnpyd27Nghu8ubEkdHR6xZswahoaFIT0+XvBYeHm5yVhcAVKxYEVu2bMHSpUvN9vW4KOljq6urK/7991/07dtXFkiPi4vDggULVPVXp04dbNu2zaI7wBE9KXiZGBEZVbVqVURERGDcuHGwszN/uHB2dsakSZOwfft2uLu7y/LU6HQ6TbkvAgMD8c8//2D69OlF/rCuU6dOkX9lLy06nQ6TJk3Crl27ivzLbtmyZfHSSy/B3d29mEZXchwdHfHXX3+hb9++mup5eXkVOVcVFa9XX31VcRagtRJHu7m5FTnvjru7O2bNmoVVq1bB0dGxmEZmfTVq1MCRI0cwfvx4xbsjadG8eXP07t1b8TUHBwfZreG1cnR0xPjx47F9+/ZSvazmnXfewbZt29CgQQOL2/D391e13AsvvICtW7eiZs2amvsICgrC2rVrVedbe9LNnj0bU6dO1XQ3tXr16uHff/+V5T4zpUmTJti+fbvsRgjmtG7dGocPH0ZwcLCmeo8Sax1b/fz8sHv3bowdOxYODtrmNuh0OgwfPhwHDhxA5cqVLRky0RODwSAiMsnT0xPff/89IiMjMXv2bHTs2BEhISFwdXWFi4sLKlWqhB49euDLL7/E9evXMX369IK73hjmnPDy8lIVVCrMwcEBkyZNwvXr1zFnzhyEhoaququOg4MD2rZti8mTJ+Po0aM4f/68bPr9o65Tp044duwYtm3bhqeeekr1nXNCQkLw0ksvYc2aNYiNjcWiRYtKPUeLpTw9PbFx40asXLkSDRs2NLmsv78/Jk6ciEuXLmHo0KGlNEJSIygoSHZXwooVK6Jfv35WGU/NmjWRkJCAHTt2YPz48WjVqpXqu3PVqVMHU6dOxZUrV/DBBx8Uy+3dHzVubm6YM2cOoqOj8emnn6J58+aqL+nt3LkzZs6ciXPnzuHYsWNGg0Hu7u6Ii4vD/v378dFHHyEsLEx2JyZjqlSpgvfeew8XLlzAnDlz4OzsrGn9ikPXrl0RERGB33//HT179lQ19ho1auDNN99EeHi4Yj44U32dO3cOCxYsQLt27Uz+L3Q6HZo1a4Y5c+bg8uXLGDx4sOp+bMHkyZNx5MgRDBgwwGSgoVatWpg9ezZOnjyJpk2bau4nNDQUEREReO+992SJxw01b94cy5Ytw4EDB1CpUiXNfT1KrHlsdXNzw48//oizZ8/ihRdeMJtfzcfHB//73/9w4sQJrFy5Et7e3pr6I3oS6YSabKRERBZo164dDh48WPC8ffv2Ft+pprD09HQcP34ct2/fRmJiIlJSUuDs7AwPDw/4+/ujVq1aqF69erHeivlRIITA+fPncfnyZSQmJiIxMRF5eXnw8PCAl5cXqlWrVpB340lx48YNHDp0CHfv3kVqaipcXFxQoUIF1KtXDw0bNnwiT8yfBDt27ECPHj0kZZ9++mmpXF6lVlZWFiIjI3H16lXcvn0b9+/fR1ZWFtzc3ODp6Yng4GA0atQIvr6+1h6qVdy7dw/Hjh1DXFwcEhMTce/ePbi6usLDwwMVKlRArVq1ULVqVU2zLgzl5ubi6tWruHr1Km7duoXU1FRkZGQUzDaoXLkyGjRogIoVKxbjmhWPrKwsHDt2DLdu3UJ8fHzB++Pp6YmqVauibt26xZb8OyUlBYcPH8bdu3cRHx8PvV4PPz8/BAQEoEWLFqpnHT2pli5dKssVFxUVJZtxk5qaisOHD+Py5ctITU2Fq6trwedJ/fr1i208er0ex48fx7lz55CQkIDc3Fx4eHggJCQEzZs3L7Gk8I8Kax1bhRA4ffo0rly5gri4OKSkpKBs2bLw8/MreO+1/iBJ9KRjMIiISsTdu3dRuXJlyV0b3n33XXz11VdWHBURlYYhQ4Zg3bp1Bc/t7e1x/fr1R/Kknogeb2qDQUREJMXwKBGViG+//VZ2+86wsDArjYaISsvNmzfx119/ScoGDhzIQBARERHRI4TBICIqdocOHZLNAKpYsaLRXBJE9OT4/PPPZXddeuutt6w0GiIiIiJSwmAQESlKTk7G9OnTkZCQoKnexo0b0atXL+Tk5EjKX331Vc13fCCix8vJkyexcOFCSVnz5s3Rvn17K42IiIiIiJQwGEREirKysvDJJ58gKCgIAwcOxC+//IILFy7IfvEHHt41bPXq1ejcuTMGDBiAe/fuSV6vX78+3n333dIaOhGVMiEE1qxZgz59+iA3N1fy2owZM6w0KiIiIiIyhj/TE5FJmZmZ+OuvvwpygDg7O8Pf3x9ly5ZFVlYWkpKSkJSUZLS+p6cnVq1a9djc2pyIzNu4cSMmT54M4OEx4vr168jMzJQt16dPH3Tv3r20h0dEREREZjAYRESaZGVl4ebNm6qWrV69OjZt2oTatWuX8KiIqDQlJSUhIiLC5DKBgYFYtGhRKY2IiIiIiLTgZWJEpMjd3R29evWCk5OT5rrlypXD1KlTceLECQaCiGxQtWrVsGvXLpQvX97aQyEiIiIiBZwZRESK3N3d8ffff+PevXvYu3cvDh48iLNnzyI6OhqxsbF48OABcnJyULZsWXh7eyMwMBCtW7dGWFgYunbtijJlylh7FYiolDg4OMDHxwcNGzbEoEGD8Pzzz8PNzc3awyIiIiIiI3RCCGHtQRARERERERERUengZWJERERERERERDaEwSAiIiIiIiIiIhvCYBARERERERERkQ1hMIiIiIiIiIiIyIYwGEREREREREREZEMYDCIiIiIiIiIisiEMBhERERERERER2RAGg4iIiIiIiIiIbAiDQURERERERERENoTBICIiemJUrFgROp2u4PHyyy+Xav/e3t6S/t95551S7Z+eHF5eXlbdlrgtW27YsGGS965mzZrWHpJmERER+Pjjj9GrVy+EhITA29sbDg4OkvVq0qSJtYf52ON+RkTW5GDtARARERWHuLg43L59W1JWmicrN27cQEpKiqSsUaNGpdY/PTmuXr2Ke/fuScoaN25cav1zWy6aU6dOSZ4/TkGTyMhIvPzyy9izZ4/ZZUtzm3wScT8jImvjzCAiIipxWVlZqF69uuQX0PxHbGxssfRx4sQJWVlpnqxERETIyvjFniwRHh4uKyvNgAK3Zcs9ePAAkZGRkrKmTZtaaTTaREREoHnz5qoCQQCDQUXF/YyIrI3BICIiKnFz587F1atXFV8z/BXdUoYn0HZ2dmjYsGGxtK2G4Rd7BwcH1KtXr9T6txQvU3j0GG7LTk5OqFOnTqn1/7huy4+CiIgI5OXlScoeh2BQeno6+vfvL5uRBgA+Pj6oW7cuGjVqJHm0adPGCiO1vuI6ZnI/IyJr42ViRERUom7fvo2ZM2caff3UqVPo2bNnkfs5efKk5Hn16tXh7u5e5HbVOn36tOR5nTp14OTkVGr9WyIqKkp2mQJ/7bc+w225fv36cHR0LLX+H8dt+VGhFNx+HIJBs2fPxo0bNyRlvXr1whdffIEGDRpYaVSPnuI8ZnI/IyJrYzCIiIhK1MSJE5GWlmb09ZKaGVTaeToMf+V9HKb7GwYdAAaDHgWG/5fS/p88jtvyo8LwfxcUFIRy5cpZaTTq5OTkYP78+ZKyli1bYuPGjXBw4KlCYcV5zOR+RkTWxiM8ERGVmIMHD+K3336TlOl0OgghCp4XRzAoJSUFUVFRkrLSDgZdunSpVPsrDobvvZOTE+rWrWudwRAA4NatW4iLi5OUcVt+fBjuU4/DrKCtW7ciPj5eUjZ16lQGghQU5zGT+xkRWRtzBhERUYnIy8vDG2+8ISlr1KiR7JKwK1euID09vUh9KSXc5QwX8wx/5a5bt26pXo5EctyWH196vR5nz56VlD0OwaAdO3ZInnt5eaFbt25WGs2jjcdMInqSMBhEREQlYvHixbIT2zlz5simwufl5clyJ2hl7bsvPa4Mf+Vm0MH6DLdlnU7Hy0ceExcuXEBmZqak7HEIBu3fv1/yvF27drC3t7fSaB5tPGYS0ZOEwSAiIip2KSkpmDRpkqSsb9++6NKlC+rXry9bvqiXihn+Wlu+fHn4+/sXqc0nXWJiIm7duiUp44mN9Rluy9WqVYOHh4eVRkNaPI7Jo9PT02WzmVq0aGGl0TzaeMwkoicNLwYmIqJiN3nyZCQkJBQ8d3BwwFdffQUAinemKWowSG3y6IsXLyI8PBwxMTHQ6/Xw9/dH7dq10apVq0ful/CrV6/i7NmzuHnzJlJTU+Hs7Aw/Pz/UqlULzZs3L/J4rZE8+vz58zh16hRu376NrKwseHh4oEqVKujZsyecnZ1Vt1PS740akZGRiIiIwI0bN5Ceng5PT09UqFABYWFh8PX1tbhdtdtyfHw8jh8/jsjISKSmpsLNzQ0VKlRA27ZtERQUZHH/xSknJwfXrl1DZGQkYmJicP/+fWRkZMDd3R1eXl6oXbs2GjVqBFdXV2sPVVFGRgYOHTqEmzdvIjY2Fg4ODggJCUG7du0QEBAgW95wn/L390eFChUs7j87OxvHjh3DrVu3EB8fj9TUVHh5ecHf3x+tW7dGpUqVLG473+nTp6HX6yVlxRnAKo11MObWrVs4c+YM4uPjkZCQgMzMTHh4eKBixYqoV68eatSoATs79b+LM+G+1OO+fxMRAEFERFSMzp49KxwcHASAgscbb7xR8HpWVpbs9VatWlncX1pamrCzs5O0N2nSpILX79+/L2bPni2qVasmWabww8fHR0yePFmkpaVp7j87O1s4OztL2ps6dapF6xIVFSUmTJggQkJCjI4VgPDy8hJjx44VN27cUN32yZMnTbap5qHT6URqaqrZ9f/ss88KXk9ISBCTJ08WQUFBim06OTmJrKwsq743hZUvX17S3ssvv1zwWlJSkpg6darJMdjZ2Ylu3bqJ8PBwzX3Hx8fL2psxY0bB67m5ueLXX38V7dq1k23zhR+dOnUSR48e1dx/UbdlvV4v9u/fLz788EPRvn174eLiYnabcnR0FAMHDhT//POP5vGWlL1794rBgwcLNzc3xTHb29uLAQMGiHPnzknqde7cWbJcz549NfedlZUlFi9eLLp37260//xH7dq1xU8//SQyMzNVt9+/f/8iHQM++ugjq6+DKUePHhWvvPKKqF69utl1KVeunBg2bJhYt26dyM7OlrVVmsdMY/vZunXrZG3OmzevSO9Rbm6uqFu3rqTNypUri/T0dJP1npT9m4j+PwaDiIioWHXp0kV2cp6QkCBZxvCLqKurq8jNzbWov/3798u+gK5Zs0YIIcS///5rNnhQ+FGtWjVx5coVTf0rnTBs3rxZUxvJycli3Lhxwt7eXtOJhrOzs1i4cKGqPpYuXVrkE5uQkBBV679lyxYhhBALFiwQnp6eJtts2rSp1d+bfHfu3JG18+OPPwohhFi2bJnw9vZW3b+dnZ1YsGCBpv63bdsma+fvv/8WQghx4sQJ0bRpU9X9Ozk5id9//11T/0XZlk+cOCH8/f2LtH2NHDmy2IIClrh586YYNGiQ6vG6uLiIlStXFtQvV66c5HU1gZN8er1ezJs3T1SoUEHz+1a/fn1x8eJFVf2oCZKYevz2229WXwcl//33nywYp+XRr18/WZulecw0tp9du3ZNtmzhALUlvv/+e1mbf/zxh8k6T8L+TURyDAYREVGxWbt2rewL4Jw5c2TLDRs2TLbc+fPnLepz3rx5srYiIyPFp59+KnQ6neYvrAEBASImJkZ1/4sXL5a1cfv2bdX1jx8/LoKDg4v0JfvDDz80288777xT5BObAQMGqFr/W7duieeee05Vmy+99JLV35t8mzdvltU/fPiwePPNNy3uf9WqVar7nzlzpuK29NVXX2kOhgEPA2JnzpxR3X9RtuW5c+cWefvK38by8vJUj7m4nDhxQjYrTM3Dzs5ObNy4UVy/fl322tq1a1X1HRsbK7p161ak983T01OcPXvWZD+ZmZkWbUeFH6dPn7bqOhjS6/Vi8uTJJmfKqXlMnDhR1nZpHjNN7WeGAfXWrVtreo8KS05OlgUt27dvb7be475/E5Ey5gwiIqJikZmZiQkTJkjKqlWrhtdff122bP369fHHH39Iyk6dOoU6depo7tcwj4OHhwfWr1+PTz/9tKCsTJkyGDJkCBo0aIBKlSrhwYMHCA8Px5o1axAfHy+pf/fuXYwYMQL//vuvqv5PnDgheV6+fHmUL19eVd1du3ZhwIABSE9Pl5TrdDq0bdsWnTt3RvXq1eHm5obk5GSEh4dj/fr1uHv3rmT5WbNmoVatWhg1apTRvjIzMyV3pYqIiJC8HhgYqJgHpbAuXbrIygzXv1KlShg/fjxWr15dUFamTBn06NED7dq1Q/ny5ZGeno6bN29iy5YtaNasmWJfpfneGFsXBwcH/Prrr5g/f76krG/fvmjZsiWqVKmCrKwsXLx4EevWrUNkZKSszddeew2dO3dWldDccFsOCAjAH3/8IdmvfH190b17d7Rs2RL+/v4QQuDKlStYs2YNzp07J6mflZWFTz/9FGvXrjXbt9L6a9mWDetWrVoVjRo1Qp06dRAUFAQPDw+4uLjgwYMHuHHjBk6cOIGdO3fiwYMHknp//fUXli9fjpEjR6rqtzj8999/6N27t2wsANCqVSt0794dlStXhru7O27cuIFt27Zh9+7dAB7eDXH06NGYM2eOrK6a3DvXrl1DWFgYYmJiZK81a9YMYWFhqFOnDry8vJCRkYHr169jz5492L17N4QQBcveu3cPffv2xenTp40mHI+JiZEl8D9z5gzy8vIKnvv7+xv9n9vZ2aFWrVpWXYfC0tPTMXDgQOzcuVP2mk6nQ5MmTdClSxdUqVIFfn5+SE9PR3x8PI4dO4b//vtPcqxQSppdWsdMc/tZw4YNsW/fvoLnZ8+ehRACOp3OZN9Kpk6disTExILndnZ2+Oabb8zWe5z3byIywbqxKCIielJMnTpV9ivgunXrFJfdsGGDbNn33nvPon4bNWokacfFxaVgRpCjo6OYPn26LGdDvpSUFPHMM88o/oK5Y8cOVf23atVKUq9v376q6u3fv18x50LPnj1luUgKe/DggRg3bpzir+pJSUmq+o6KipLVX758uaq6hgzXv/Av9I6OjmLChAkiJSXFaH29Xi8rs9Z7Y5hPxXC2wYsvvmj0F/ycnBwxY8YMxdlohXMomWKY16pwvhVvb2/x3XffGb3MIi8vT3z22Weyvl1cXFRfmmHptiyEEA0bNhS9e/cWS5YsUZ2vKTk5WYwfP1425vr166vut6jOnz8vvLy8ZGPo2LGjyVkqO3fulFw2aDjbwsvLy2zft2/fVpz51q9fP6MzcPKdPn1aNG7cWFZ3ypQpqtddKUdV/mWRallrHTIyMhQvC3NychJjxowR0dHRJuvn5uaKjRs3ig4dOggAIioqyuTyJXnMNLefvf7667K+r127prnfS5cuCUdHR9kxTY3Hdf8mItMYDCIioiK7ceOGLFFoWFiY0eUjIyNlXxC7d++uud/MzEzZl9v8R0BAgDhx4oTZNvR6vejdu7esvtL0fkM5OTnC1dVV84nMjRs3hJ+fn6zPwsmCzRk1apTFJ4JKl/NduHBBdd/5lNa/cPDCkqSh1nxvKlasqLguzs7Oqi/5+fjjj2X1q1atarZeSkqK0csamzZtavbkNt/AgQNl9dUks7Z0W86XnJysellDEydOlI3Z0gTgWqSnp8vylwEQn376qapLWQ4ePGj0sqtOnTqZrJuTkyNCQ0MldVxcXMSKFStUjz8lJUU2fh8fH9X515RyVGlJPG7NdRg5cqRs7BUqVBCHDx9W3Xe+9evXm12mJI+Z5vYzpcvKNm7cqLnvvn37StooW7asiI2NVVX3cdy/icg8BoOIiKjInnrqKckXPZ1OJ44fP250+by8PFGmTBlJHX9/f839Hjt2TPFEzN3d3WT/hm7cuCG7w1nZsmUVZ60UFhERIev7r7/+Mtuf4ZdyAGLmzJmqxyvEw1/1DWfPNGjQQFXdDz74QFLPw8PDojwOSusPPEwIbsndrISw3ntz9+5dxXWxs7NTHQgS4uGdlAICAmTt3Llzx2S93bt3K/Zfv3591TO+hBDizz//lLWhZpabpdtycbh586as7927d5d4v2+99Zas33fffVdTGy+++KLi/81cO5MnT5Ys7+TkZFHwVCmgc+jQIVV1p0+fLqnn6OioKcGvtdZh4cKFsuUDAgJUB0wtUZLHTHP7mdLnnJbguBAPZ7IZtjF79mzN47eEtfZvIjLPDkREREWwZ88erFmzRlL23HPPGc0FAzzM51C3bl1JWVxcHO7cuaOp7/DwcMXyH374wWT/hoKCgtC7d29JWWpqKi5evKi5f3P9btiwAZs3b5aUDRo0CB9++KHK0T7k6+uLHj16SMrOnDkjy4Gk5Pjx45LnTZs2tSj/hLH3f+HChYo5OMyx5ntjmBMj3yeffIIhQ4ao7tvJyQnDhg2TlZ86dcpkPaX30tXVFevXr4e3t7fq/oOCgmRljo6OZutZsi0XF6W8K4XzmpSEs2fP4vvvv5eUtW7dGl9++aWmdkaPHq1Ybipf0MWLF/H5559Lyr777jt07txZU98A0LVrV3h6ekrKzG1r+Qy3+fr168PZ2VlVXWutQ0xMjCw3nbOzMzZs2IAqVapo7lutkjxmmtvP6tevD3t7e0nZmTNnVPep1+vxzjvvSMqqV6+Ot956S3UbRWGN/ZuI1GEwiIiILKbX62VfKN3c3DBz5kyzdRs0aCArU3sSk88w4S4AhIaGWpScMiwsTFZmmIzYkOHJVEBAACpWrGiyzuTJkyXPy5QpI0lQrIVSwOXWrVtm6xmekDRv3tyi/pUCKF26dMGIESMsas+a743SutSsWVNzIAp4GFQwlJCQYLKO0rb88ccfo3r16pr6vn//vqzMy8vLbD1LtuXiohR0VRuUsNTkyZOh1+sLntvb2+Onn37SfILfvHlzODjI78diKhj0ySefIDs7u+B5p06d8Morr2jqN5+9vb0sABgXF6eqrmGAQ0vwz1rr8MknnyA1NVVSNnfuXMV9rjiV1DFTzX7m4uIiS9ytJRi0aNEinD17VlI2Z84cODk5qW6jKKyxfxOROrybGBERWeynn37C6dOnJWUTJ05UdRJpeFcb4GEwqFevXqr7V/qVdfbs2arrFxYSEiIrS05ONlnH8Iu9ubsHHTx4UPYlfsKECQgMDFQ5SimlX1zNBR2uXbuGpKQkSVlxBoMMZwuoZe33RmldZsyYYdFJi9L2f+/ePZN1DLdld3d3jBs3TnPfSnc0U9q2DWndlk2JiYnBiRMncOrUKVy6dAn37t1Damoq0tLSJHeuyqf03lSoUMHi/s2JjIzEX3/9JSkbPny45M5Rajk7O6NcuXKSwHGZMmVQs2ZNxeUvXbqEP//8U1I2bdo0zf0WlpmZKXleOEhjTHx8PG7evCkpUxsMstY6REdHY/ny5ZKyWrVqYcyYMUXq25ySPGaq3c8aNWqE8+fPFzy/dOkSsrOzzQZ07t27Jwuyd+3aFf3791c5YrlHff8mIvUYDCIiIoskJibKvmRWqFABEydOVFVfaWaQ0uwIY/R6vSx40LBhQ7Rp00Z1G4Up3cpY6Rf/wv0b3mrY3MnUokWLJM/t7e0xduxYDaOUUgpUuLi4mKyjFPSw5MRGaf2bNm1q8UmStd8bw/clMDAQAwYMsKhvV1dXWZmpS7XS09Nx6dIlSdngwYNll86oYbhPBAYGmm3Hkm3ZUFpaGlasWIHly5fj4MGDmuoqMRZMKQ5Lly6VnbS++uqrFrdn+L9t1KgR7OyUJ98vXbpUcjt1Ozs7i4J+hV27dk3yXM1lhYazggD1xwFrrcMvv/yC3NxcSdnMmTNll1AVt5I8Zqrdzxo3boxVq1YVPM/NzcWlS5cUP0cLmzZtmuTyWHt7e1W3kjf0OO3fRKQeg0FERGSRjz/+WPZr6YwZM1CmTBlV9Y3NDFLr/PnzyMjIkJS9/PLLqusbUpoFVLZsWaPLX7x4Eenp6ZIyc1/s//77b8nzzp07WzzzBVAes6+vr8k6hieBXl5eqFatmua+ldb/mWee0dxOPmu+NwkJCbJZEqNGjVKVa8dYe4aUgo35IiIiJJcsAUC3bt0s6tswoKpmtosl23Jhq1atwsSJExETE6O6jilBQUFwd3cvlraUrF69WvK8Xr16FgeRAfn/29Rsjz/++EPyPC8vTxYgKCp/f3+zyxgeBxwdHc0GFvJZax1+++03yfPKlStj0KBBxdqvkpI8Zqrdz5T24zNnzpj8n0VGRuK7776TlI0dOxb16tVT1We+x23/JiL1GAwiIiLNIiIiZDM5mjRpoilXT2BgIHx9fSUnUpGRkUhLS1P1RVFpFpGlJ9CAcn6g4OBgo8sr/VpsLmmsYR6M7t27qx+gAqWAR7ly5UzWMRx3s2bNLEqEqrT+liSPBaz/3iitS1G2JaV8J6aS2ypty+3bt9fcb15eniygquZkU+u2nE+v1+PFF1/EsmXLVI9RjcaNGxdre4XdvHkTV65ckZQVZVu7f/++7BInY+9dVFQUoqKiLO5LrTp16phdxtLk0dZah+joaFy9elVSNnToUIuOXVqV5DFT7WViSvuEubxBEyZMkFxu5+3tjalTp6rqD3g8928i0obBICIi0uzNN9+UzWSYO3eu0UsjjGnQoAF2795d8FwIgdOnT6Nt27Zm6xrmWPH395cl2dTC8JdtV1dXVK5cWXX/vr6+Jpffv3+/rMzSS6ryGeaH8fPzMzsroLgSoRq24+HhgSZNmljUlrXfG8OTNAcHhyIlpFXKZWVq2zRcvly5chbdGenixYt48OCBpExNMEjrtgw83FeffvpprFu3Tvaap6cnunbtig4dOqBWrVoICQmBj48P3Nzc4OLiIjmRvnPnjix/SEnexUzpEpeOHTta3J7S5VbG9oPDhw9b3I9aOp1OVTDI0uTR1loHpf9bp06dSnwsQMkdM9XsZ/kCAgIQEBAg+dHCVDBo9+7dsrxYU6dONftjQb7Hdf8mIm0YDCIiIk1+//13/Pfff7Ly4vpifurUKYuCQZYkfy3s33//lTxv06aNyeCW0q/FphjmxADU/YJvyqFDhyTPzV3qEhkZKZsxU1yJUJs0aaI5GJjP2u+N4brUqlVL9eWOSgoHOIGH+TFMnYQZbsuWnixZOvNA67YMAPPnz5edKHp4eGDGjBl44YUXVL9/+/btk5WV5MmiYW4m4GGuMUsZHgudnZ2NXoZj2LeTkxPS09NLPOeNobt378ou+dGSPLqw0loHpf+b2svaiqIkj5lat/NGjRphx44dBc+NBYPy8vJkt5KvU6eOprxYj+v+TUTaMBhERESqpaen47333ivRPtTkDRJCyJbz8/OzuM8rV67ILn3o0qWL0eWVLscxd9JdOIlnPh8fH/WDNBAbGyu7bMJcEK24EqFaejmSMdZ+bwzfl6JsS7dv35bdxtnU5XPZ2dk4d+6cpKy4gkE+Pj4mL3UELNuWU1JS8MEHH0jKfH19ceDAAc2JYXft2iUrK8mTxevXr8vK1OTYMWb79u2S5/Xr1zeaa+rGjRuS55UqVSr1QBBQtOTR1loHw5xeAGS3oy8JJXnM1HrHvsaNG0uCQTdu3EBqaqost93PP/8sm+n6zTffmLwhQmGP8/5NRNpY9hMeERHZpJkzZyp+KS9OaoJBV65cwf379yVlaqe/KzHMfwQATz/9tNHlL1++jLS0NEmZuS+4iYmJkucuLi4WJygGgCVLlsjKevToYbKO4Umgr6+v2WCBEkvW3xRrvjdJSUmyAIG5JNymLF68WHKnJQAYNmyY0eXPnj0ru422pbd1t+S21Zb8L//8809ZnZ9++knziWJOTg42bdokKStfvjzKly+vqR0tUlNTJc+dnZ3h5uZmUVtnzpyRzUAz9Z4bHrOU7jpXGoqSPNpa62D4f3NxcbF4JqIWj9IxU2n2q2Hg+f79+/jkk08kZX379tWUF+tx3r+JSBvODCIiIlWioqIwZ84cSZm3t7fqnAfGnD9/Hjk5OQXPz549C71eb/LXZqWEu4Xb0CIrKwtLly6VlLVv3x7Vq1c3Wkfp12JzX+wNT5qysrKQl5dn0QlNXl6eLIBVp04ds4k5i3qZgrF2gKLl+LHme6O0Lob5sNTS6/WyvqtWrYqwsDCjdZS2ZUv+L8WZPNpcPcNcJAEBARg4cKDZvgz9+eefiI2N1dR3URnemjwrK8vs8caYH3/8UVZmKhhkuF0pJTkvDZYmjwastw55eXmS55mZmRb/37QoyWNmcQSDzpw5I5n1OH36dEleIUdHR9nntjmP8/5NRNowGERERKqMHz9edtecZcuWoV+/fkVqt0WLFpJfXzMyMnDp0iXUrVvXaB2lBL23b9+2qP+vvvpKdpnSxIkTTdax5HIcw8uehBC4c+cOKlasqH6w/+e7776TXdb22muvma1nGCywNOGz4fp7eHho/tW4MGu+N0onaUp3llPj+++/x61btyRl7777rsmgluG27O3tjZCQEM19X7x40aKZB5Zsy4bvb+3atTWflGdnZyve2aikTxY9PT1lZdevX0fVqlU1tXPhwgUsXrxYVm5qnzKcvRgbG4vk5GR4e3tr6ruoLE0eDVhvHZQuG71165ZFida1KKljppr9zFDt2rXh4uIi+RwunDcoKioK3377raTOm2++qfnY/Djv30SkDS8TIyIis3bt2oUNGzZIyjp37lzkQBAAxaCP0myJwpSCQYcPH5b9emzO9evXMXPmTElZq1at0LdvX039q7kcR+kL+bFjx1SMUur69ev4+OOPJWUVKlTACy+8YLLe3bt3Zb/iWxrAUVr/otzi2ZrvjVIw6NSpU5pnmt29exdTpkyRlFWtWhUvvviiyXqWbEtKLE0ebUn/d+7ckTx3cXExW8fQrFmzcPHiRVl5SZ8sKuWDUrqbnSlCCIwbN062jdjb25tMRm14eUxeXh62bNmiqe+iunPnjuz/p2VWn7XWQenSIqUbGRSnkj5mamVvby9LTl74MrEJEyYgKyur4Lmfn5/skjE1Huf9m4i0YTCIiIhMys3NxVtvvSUps7Ozw1dffVUs7SsFg8zlDVIKFsXFxWk6Kbl//z4GDx6M9PT0gjJ7e3t89913JgMbQghZ/2q+4Hbo0EFWtmrVKtXjBR7m1unTp49sBsgXX3xhNu9JQkKCrMySXCmWrr8p1nxvlIIo6enpWL9+veq+MzMzMXToUNy7d09S/vXXX5u8/Eav1+P06dOSsuK6DMXLy8vsbBdL/5eGJ4fnz59XOcqH1q5dqzhrQG3/RaHU/i+//KKpjffff192xzjg4eWIpnLoKG3nM2fOtPgSV0soJY/W8p5bax1CQ0NlZUqX6RWnR/GYaXi5a/7MoP/++092968ZM2YozoQz53Hev4lII0FERGTC3LlzBQDJ4/nnny+29jdu3Chrv2vXrkaXj46Oli2f/6hevbq4f/++2T4TExNFp06dZPU/+eQTs3UvXbokq/fHH3+YrZeXlydq1qwpqWdnZyf27dtntq4QQty8eVM0a9ZM1vewYcNU1Y+MjJTVHT9+vKq6hSmt/8qVKzW3U5i13pukpCSj21K1atVUbUtpaWli4MCBsvqjR482W/fs2bMWbUtKQkNDJe106tTJbB1Lt+V27drJ6m3atEnVOH/++Wfh7Oys+J4HBgaqaqMobt26Jezs7GR9r1ixwmzdvLw8MX36dKPbzMiRI03Wz8rKEl5eXor19Hq9Retz5coV8eKLL4o7d+6oWn7y5MmSvh0dHUVmZqbq/qy1Dunp6cLd3V3W79dff625v/T0dHH06FGzy5XkMdPS/XzevHmytm7evCmaNGkiKWvUqJHF/4/Hef8mIm0YDCIiIqPi4uKEp6en5Audm5ubuHXrVrH1cfXqVdmXRl9fX6PLr1+/Xra8h4dHwd+tW7cWN27cUKyr1+vF+vXrRYUKFWRtdOvWTeTk5Jgd76pVq2R1IyMjVa3rzz//LKvr7e0ttm/fbrROZmamWLRokez/AEA0b95cpKenq+o7IyND9iXd0dFR/PrrryI7O1tVG0Ior/+lS5dU1zfGGu/Nrl27ZPVcXV0L/m7Tpo3Jbf3ff/8V1atXl7XRtGlTkZaWZnadly9fbvG2VJher5edKE+YMMFsPUu35alTp8rqlStXThw6dMhoncjISDFs2LCC5R0cHISTk5OkjT59+mhab0v16dNHNn4nJyfx66+/Gq1z5coV0aNHD6OBIADim2++Mdv3zJkzFet26NBBREREqBp/cnKyWLZsmejbt6+wt7cX5cqVs3jdmzRporqutdfhww8/lPWp0+nEu+++K1JSUkzWzcvLE0eOHBHvvvuu8PHxER9//LHZ/krymGnJfi6EEHv37pW19fTTT8vK9uzZY1H7Qjz++zcRqacTwuD+p0RERP/npZdews8//ywpmzJlCj799NNi6yMvLw8eHh6Sy7WAh8lBlRIIT548GdOmTSt4XrZsWcydOxcvvfRSQZmrqyuGDBmC0NBQ+Pj44O7du7h69Sr+/PNP3Lx5U9Zms2bN8O+//6Js2bJmxztx4kTJJXJeXl5ISkpSlTMnNzcXXbp0Ucx10bZtW/Ts2RMhISGwt7dHTEwMLly4gHXr1iElJUVxzDt27FBMrGpM//79Zbf6BR5eFlClShXZ5QHt2rXDDz/8ICkzXH8PDw/cu3evSDmDAOu8N7Nnz8b7779f8NzZ2RnTpk3De++9V1Dm6uqKwYMHo127dvD19UVCQgKio6OxYcMGXL58WdZmtWrVsG/fPlW3Tx4/fjy+/vrrgueenp5ITk7W/F5euHBBdrnlqlWr8Mwzz5isZ+m2HBsbi2rVqsn2WTs7O/Tp0wddu3ZF+fLl8eDBA9y6dQu7du3C/v37C+5EpdPp8P333+PNN9+U3J1q8uTJRi8vKU6HDx9Gu3btFHOMNWvWDAMHDkTVqlWRk5OD69evY8+ePdizZw8Kf2V+8cUXZcfGvXv3mrxzHPAwQX6rVq0kiX8La9WqFcLCwlCjRg14eXkhJycH9+7dQ3JyMs6fP49Tp07h0qVLkruide3aFTt37lS17uXLl5fc4enll1/GwoULVdW19jokJyejadOmiI6Olr1WpkwZ9OrVCy1atEBgYCDc3Nxw79493LlzBydPnsThw4clNxlYt24dBg0aZHZdS+KYqeUzw9C9e/fg5eVlcpmhQ4dizZo1mtvO97jv30SkgZWDUURE9Ig6fvy47HKK8uXLq5rxoJXhFHcAYvPmzYrLGv6y3b59eyGEEEOHDjX5q72xR69evVRdDpTP8PIyNZfjFHbnzh1RtWpVi8aa/xgyZIhITU3V1K8QQpw+fVoy88Xc47333jO7/h06dNA8DmNK+70x/EW9WbNmIicnR7Ro0cKivlu3bi3i4uJUr2+HDh2KtC3lU5phpGa2VlG25R9++MGi98jJyUmsWLFCHD58WPbaX3/9ZdH6W2LSpEkWjV+n04nvvvtOfPvtt7Jytdvd7du3i7ydF35MnDhRVb+3bt2S1f3pp58sev+stQ7nz58XPj4+Re4vKipKVX8lccy0dD/PFxwcbLR/FxcX1etmyuO+fxOROkwgTUREMkIIvPHGG7JfzqdPn44yZcoUe39akkgb3pWlUaNGAIAVK1Zg4MCBqvssU6YMpk2bho0bN8Ld3V11vaImAg0MDMSRI0fQsWNHTfUAwN/fH7/88gvWrl0LDw8PzfUbNGiArVu3IigoSNXySne8MVx/LXciMqe03xvDpMvNmjWDg4MDNm/eXLBdqeHk5IQJEyZg9+7dinerUiKEkG3jxZU8umzZsqhRo4bZekXZll977TVMmzZN0+yGxo0b4/Dhw3j22WcV9+/STC47ffp0TJw4UVOdoKAg7NixA6+//jqOHj0qea169eqqt7vy5cvjxIkTGDFihKb+ldSvX1/1ca+oyaMLs9Y61KlTB+Hh4Wjfvr3F/ZUrV071bd1L4phZ1O3cMIl0Ye+++67mW9Yredz3byJSydrRKCIievT8+uuvsl/1GjZsaHFCSnOUclAMHTpUtlxsbKxsucWLF0uWWbx4sclfTitXrizeeecdcfv2bc3jVEoo+ttvv1m0znl5eWLt2rWiZcuWQqfTGR2vnZ2daNOmjZg/f36xzcp68OCBWLZsmXj66adF7dq1haenp7C3t5f1ffnyZUm94lx/U0rjvUlJSZG1XXiWREZGhpg6darw9fU12n9AQIAYM2aMuHbtmuZ1LM73sn379pJ2wsLCSq3/nTt3ipYtWxp9j+zt7UWHDh3EqlWrJMePMWPGSJbz9/fX3Hdx2LFjh2jevLnJ2Q6NGjUS8+bNExkZGQX1DBOeq03kbujEiRPipZdeEuXKlVM188LNzU106dJFfPbZZ6rz8+T75JNPJG1pTR79KKxDPr1eLzZt2iR69uxpNGFx4Yenp6fo06ePWLRokUhOTtbc36N0zJwyZYriOlaoUKHYZ+4+7vs3EZnGnEFERPTEEUIgPDwc4eHhiI+Ph6urKypUqIBatWqZ/FXVWhISEnDgwAHcuXMHSUlJcHBwgJeXF2rUqIHGjRvD29vb2kO0mpJ6b3bv3o3OnTtLyo4ePYoWLVpIyvR6PY4ePYozZ84gMTERTk5OqFChAqpVq4bmzZvDzo6TrAEgMjISBw8eRGxsLHJzcwv+R82bN38stt/r16/jwIEDiI2NRUZGBjw8PBASEoLmzZuryv9UHCIjIxEREYGEhASkpKQgNzcXZcqUgYeHBypVqoTq1asjODgY9vb2pTIeS1hjHbKzsxEeHo4rV64gOTkZqampcHJygoeHB4KCglCjRg3UqFGD+2oRPO77NxEpYzCIiIiIbM5XX30luUzIwcEBaWlpcHZ2tuKoiIiIiEoHQ+RERERkcwzz7NSrV4+BICIiIrIZDAYRERGRzTEMBiklfiUiIiJ6UjEYRERERDYlNTUVkZGRkjIGg4iIiMiWMBhERERENuXkyZMwTJnIYBARERHZEgaDiIiIyKYYXiJmb2//SN5ljoiIiKikMBhERERENsUwGFS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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axe = plt.subplots(figsize=(4,4), dpi=300)\n",
    "\n",
    "c=Counter(compare_mapping_genes['Flag'])\n",
    "print(c)\n",
    "print([(int(c[x])/len(compare_mapping_genes))*100 for x in c])\n",
    "plt.ylabel('Number of gene families')\n",
    "plt.title('Pandelos-frags vs Roary \\n gene family sizes comparison in \\n'+pretty_species)\n",
    "plt.bar(['<','=','>'],[c[k] for k in ['<','=','>']],color='black',width=0.4) \n",
    "plt.grid(True, axis='y', color = \"grey\", linewidth = \"0.2\")\n",
    "plt.xticks(range(0,3),labels=['Smaller', 'Equal','Greater'],fontsize=10)\n",
    "plt.show()\n",
    "##plt.savefig(figdir+'/'+species+'_size.svg', dpi=300)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1015cb50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FOe9m0qRJce2118bEiRNb3tyOOvvPacpy8lthRw8A7LrTTz89zj777PjOd74TDz30ULsU5eSrhx9+OPbff/+cF+VAS26//fa44oorcvICLSKipqYmLr/88rj99ttzcj50FrIGacgapCFrkHtyBmnIGqQha5CGrEEasgZpyBqkIWuQe3IGacgapCFrkIas0dH+/WtvxM3fmhGP3r443py2oV2KcvLJc/cvi998d1ZOSmUiIuprG+K2a2fF8w8sz8n576YrPidy4/m/3B+//PaXkxTlRERs3bQhbvjWF+Plxx9Och90hNmvPB8vPPJA0qKciIhlC+fHdV/6dDz78L3J7nz6wbvi19//ek6KciIi6mtr49ff/3o88+e7c3I+7e/JJ5+MP/3pT0mLciIi5syZEx/+8IfjD3/4Q7I7/ZxGrinLATqNG2+8Mc4666xYs2ZNR4/Cbu6ee+6Ja665JpqamnJ6T1NTU1xzzTVx77335vQeyFeyBmnIGqQha5B7cgZpyBqkIWuQhqxBGrIGacja/8fefUfZVZf7438mk2RKeu8khFDSgNB7E6UXkaKigoCIKPaLIEgHQUAEERFFRIoKCCgISJcmvRNIDymkkT4pkzLz+8PvvT+4l9lnkjn7M2cmr9darOXk88zn82w875y9z1rnAdKQNcifnEEasgZpyBqkIWuQr5cemRX3/np85ByxqK+PuOe6cfHyo7PyPSha5zWRjxcefyhuv/ZnUVeXz1ClhtStXRu3/OKSePWZx5OeCxuCNatXxZ9/dUXcf+vvcj/r+ccejDt/84sk96l3XH+VIVsUtGrVqjj33HPj6quvzv0sz2mk0La5GwBojAsuuCDOPffcRtdXVVXF9ttvH5tvvnkMHjw4OnXqFO3bt49FixbFwoULY968efH666/HO++8E6tWrcqxc1qbN998M37yk5806gZtzJgxccghh8SYMWNiwIAB0aFDh1i2bFlMnz49Xnvttbj//vvj9ddfz9yjvr4+zj777Bg6dGhsueWWRboKKH2yBmnIGqQha5A/OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1yJ+cQRqyBmnIGqQha5CvaeOWxJ1Xv9uooTJDRnSJMXv1iSEjukb3PpVRUV0etcvXxvzZK2Lq2MXx2hOz4/33lmTuUV8fccfV70bvQR1io807F+kqPq41XhP5mDZxXNx2zaWNrh+0yWYxcrudY+iI0dG7/6Do0KlTVFRVx8rly2N5zdKYM+P9mDT2rXj7pefig6mTCu5XX18ff/z5RdF30JDoP3hoUy4FWrw2bcqj30ZDou+gIdGjT7/o0LlLVFRWxerVq2LZksWxZOH8mDT2zZgzY1qj93zwz3+I9hUV8ZmjvpxLz++Pfzdu/+VljbpPHTp8dGy3574xdPjo6NGnb1RUVUftiuXx4ewPYvK7b8fLTz4SU8a9k7lHfX193P7Ln0XfQUNi8GbDi3UZlIDy8vIYNmxYbLLJJjFw4MDo1q1bVFVVRW1tbSxatCjmzZsXr7zySkyZMqXRe1533XVRVVUVJ598ci49e04jlbL6vMcxAbnbeuut44033ij6voMHD46pU6cWfd91dd1118U3v/nNgnVt27aNI488Mo4//vjYe++9o3379gV/Z9WqVfHmm2/GAw88EPfee2+89tpr/7O21VZbFXwDbU5lZWUf+/ntt9+OkSNHNlM3G4aampo47LDDYsaMGZl1Q4YMifPOOy923nnngns+++yzcd5558W0adkPYgMHDoy//e1v0bFjx3XqGVoiWYM0ZA3SkDXIn5xBGrIGacgapCFrkIasQRqyBmnIGuRPziANWYM0ZA3SkLUN1/1TTm3uFv6PK099IT6YXFP0fbv1royz/7hr0fdtjJXL1sSV33whFsxemVnXc0BVfO5bW8RmY7oX3HPcq/Pjr78cF/Nnrcis6963Mn7wqx2jskPbdeq5kNZ4TcV08MbXfeznRyfMa6ZOml/d2rXx029/NT54f3LB2qEjRsehX/l6bDpq60bv/+5rL8Xfb74+pk0cV7B28KbD479+fsP/+S7huvrmwbs1uDZ6h11j9I4NrxfDyO12jq49euZ6Rkux76a9Pvbzhpi1h++8Jf52828ya/oMHByjd9g1Rm63UwzZbES0r6wsuO/iBR/GMw/9Pf51/19j2ZLFBevLysrilHN+FqO2L3yfuC5WLF8WPz3t+Jg/Z1ZmXe/+A+OYU38YW2y9XcE9333tpfjzdVfEh7NmZtb16NMvzvzlH6KqusM69dzaLFrwYRy104iP/dncuXOjV69eDfxGOjfccENceeWVmTVDhw6NvffeO/bYY4/YaqutoqqqquC+c+fOjTvuuCNuueWWWLRoUcH6srKy+M1vfhN77rlnY1tvlNb2nLb55ps3uLb33nvHpz71qaKd9Un22GOP6NOnT65ntGSG5UArsK7DcsrKymLYsGHRr1+/eOqppxqsK4VhOffff38cdthhUVdXl1l3+OGHx+WXXx7Dhg1r0nnvv/9+/Pa3v40bbrgh+vfvb1gOH3PxxRfHH//4x8yaXXbZJa655pro1KlTo/ddsmRJnHbaafH8889n1h1//PFx5plnNnpfaKlkDdKQNUhD1iB/cgZpyBqkIWuQhqxBGrIGacgapCFrkD85gzRkDdKQNUhD1jZcrWFYTllZRI/+VdG5e0VMfmtRg3XNOSzn3uvHx9P3Ts+s2XRM9zju7NFRtQ4DYFbUrI4/XPRWTHx9YWbdHp8dFId9fbNG79sYrfGaismwnP/fvx99IG79xSUF6z5z1JfjkC+dFG3Ky9f5jDWrV8e9N10XT/z9zoK1J5x+fmy7R9O+jJ81LOfAL3w1Djr2xCbtT+MZltPwsJyqDh1jp30PjB323i82GtbwgIpCaleuiLtuuCaee/i+grVduveIs6+7Nao7Nv5+sZC7bri6YLa32Hq7OOnMi6KqQ+OHeiyvWRq/veTsGP/mK5l1+xx2THzua6c1et/WqCUOy+ncuXN89rOfjcMOO6xJ3xVfvnx5XHLJJXHnnYXfX3r16hUPPPBAdO7ceb3P+99a23Na1rCcb33rW3HaaRt21ppbm+ZuAMjfkCFD4qijjorLLrssHnvssVi4cGGMHz8+zj///OZuLdPMmTPjuOOOyxyU0759+7jxxhvjnnvuafKgnIj/DAi66KKLYvr06XHFFVc0eT9aj4kTJ8btt9+eWTNmzJi47rrr1ukGLeI/N7G//vWvY8stt8ysu/XWW2PSpEnrtDe0NLIGacgapCFrkD85gzRkDdKQNUhD1iANWYM0ZA3SkDXIn5xBGrIGacgapCFrtDTd+1TGVrv3joNOHBanXDomLrxrzzjzxl1ivy8Nbe7WPtHs92vi2ftmZNYMHt4lTjh3y3UaKhMRUdWxXZxw3lax0ebZX8p+5u8zYs60Zeu0d5bWeE3k54m/3VGwZt8jvhiHHff19RqUExHRtl27OPLk78QeBx1RlH6gJevVb2B84Vv/FZfcfG8c+bVvN2lQTkRERWVVHPvtH8VXvndWtGmTndHFC+bHI3fd1qTzPmrWtCnxr3/cnVmz8Raj4utnX7pOg3IiIqo7dopTzrk0Bm82PLPuyfvvitnTp67T3jSfwYMHxwUXXBBPPfVU/PjHP27SoJyIiOrq6rjooovisssui/IC71Hz5s2L3/72t00676M8p5GaYTnQygwYMCAOP/zwuOiii+Khhx6KDz/8MKZMmRJ33HFHnH766bHPPvtEly5dmrvNgurr6+MrX/lKLFiwoMGa6urqePDBB+OEE04o+vkVFRWx7777Fn1fWq5rr7021qxZ0+B6165d46qrroqqqqr12r+6ujp+8YtfZE5gXLNmTfzqV79ar/2hpZA1SEPWIA1Zg/zJGaQha5CGrEEasgZpyBqkIWuQhqxB/uQM0pA1SEPWIA1Zo5R16VkRo3bpFQccNzS+dtHWccEde8RZN+8aXzlrdOxz1ODYdOvu6zyMJbWHb5sSdWvrG1yv7tQ2vvzjUdG+cv2GhFRUlseXfzwqqjo2/O+hbm19PHzblPXa/5O0xmsiH7OmTYmZUyZm1gwdPjoO/+o3inLeUV//bgzeNHvwxZRx78S8WTOLch6Ukt4DBsVxPzgnzrn+ttht/8OifWVlUfff8VMHxFGnfLdg3ZP3/zVWLC/OMLMH/nRT1K1d2+B6h06d48Qfnb/e11pRWRUnnnFh5qCdurVr44E/3bRe+5POkCFD4vLLL48HH3wwjjnmmPV+dmnI4YcfHmeffXbBultvvTVqamqKcqbnNFIzLAdagdNOOy3uu+++mD17dsyYMSPuueeeOOuss2K//faLHj16NHd76+XWW2+Nxx9/vMH1Nm3axJ/+9KfYZ599EnbFhmr69Onx8MMPZ9Z85zvfiX79+jXpnAEDBsRpp52WWfPQQw/F9OnTm3QOlCpZgzRkDdKQNcifnEEasgZpyBqkIWuQhqxBGrIGacga5E/OIA1ZgzRkDdKQNUrRbocOihPP3yrO+9Nucc6tu8VXz9ky9v3CxrHFdj2iQ+d2zd3eOpk/a0W89cy8zJoDjtskuvVq2kCD7n2qYr8vDc2sefPpuTF/9oomnRPROq+J/Lz3+ssFaw497utRVlZWlPPatGkThx1/SsG6cW8U7gtaik5du8cxp/4gzr7ulthh789Em/L1G1TWGHsc+NnYcZ/9M2tWrVwRrz7d8PeZG+vD2TPj9Wf/lVlz8Je/Ft169WnSOT16942Djj0xs+a1Z56MD2d/0KRzyEePHj3i3HPPjX/84x9x6KGHRnmOr/8vfvGLcfjhh2fWLF++PB588MEmn+U5jeZgWA60AieeeGIcfPDB0adP026QSsWyZcvizDPPzKz50Y9+FIceemiijtjQ3XbbbbE2Y5rnkCFD4phjjinKWV/84hdj0KBBDa6vXbs2br/99qKcBaVG1iANWYM0ZA3yJ2eQhqxBGrIGacgapCFrkIasQRqyBvmTM0hD1iANWYM0ZI1StOP+/WPEjj2jU7eK5m6lyZ69b0bU1dU3uN5zQFXsdMCAopy1yyEDoke/qgbX6+rq47n7ZjT5nNZ4TeRn+sRxmeu9BwyKTUdtXdQzN99q2+jZL/s1+P7494p6JjSnnT99UOxx4GejvLxtkvMOPe6UaF+RPRDtzeefbvI5/7r/7qira/g+tXf/gbHbfsX5XvQeB302evbt3+B6Xd3aeOqBe4pyFsX1uc99Lr74xS9G27ZpXv/f//73o6qq4XuTiIhHH320yed4TqM5GJYDlJyrr746Zs6c2eD68OHD47zzzkvXEBu0urq6uP/++zNrjjvuuKJNb2zbtm185Stfyay5//77o66urijnQamQNUhD1iANWYP8yRmkIWuQhqxBGrIGacgapCFrkIasQf7kDNKQNUhD1iANWYN81dXVx2tPzs6s2fOzG0Wb8rKinFde3iZ2P6zhLzpHRLz65JzMQTeFtMZrIl/zZjf8vcaIiOFjdsjl3BHbZO87b5YhS7C+uvboGdvtuW9mzcR33mjSPV1dXV288lT2wJG9Dz8m2hTpPrW8vG3sdehRmTUvP/mI+1SiT58+cdBBB2XWvPzyy01+/XtOozkYlgOUlNra2vjlL3+ZWXPppZdG+/btE3XEhu7555+PefPmNbheUVERhx5anGme/+2zn/1s5mt87ty58cILLxT1TGhusgZpyBqkIWuQPzmDNGQN0pA1SEPWIA1ZgzRkDdKQNcifnEEasgZpyBqkIWuQr4mvL4wlC1Y1uN62fZvYZp++RT1zu0/3i7btGv6a65L5tTHpzYXrvX9rvCbytbxmaeb6gI2H5XJuoX2XLVmcy7mwoRi1/S6Z6yuXL4sFc7OHq2UZ/+YrsXjB/AbX27VvHzvstd967/9JdvrUAdG2XcP3qYsXfBgT3nqtqGfSMu29996Z6zU1NTFzZvawuCye02guhuUAJeW2226L2bMbvqEcM2ZM0d8QIcvjjz+eub7XXntFx44di3pmp06dYvfdd8+seeKJJ4p6JjQ3WYM0ZA3SkDXIn5xBGrIGacgapCFrkIasQRqyBmnIGuRPziANWYM0ZA3SkDXI19gXGv6Sc0TEiB16RGV126KeWdWhbWy+XffMmrEvfLje+7fGayJfa1avzlzv2LlLLud27Nw1c33VqtpczoUNxbBRWxes+XD2B+u9/1svPJu5PnK7XaKyunq99/8kVR06xohtd8yseevF7L7YMGy33XYFa2bMmLHe+3tOo7kYlgOUlN///veZ66eddlqiTuA//v3vf2eu77nnnrmcu9dee2WuP/fcc7mcC81F1iANWYM0ZA3yJ2eQhqxBGrIGacgapCFrkIasQRqyBvmTM0hD1iANWYM0ZA3yNf61hZnrw3fomcu5IwrsO/7VBeu9d2u8JvJVVd0hc719ZVUu51YU2LdQX0C2Dp06R9u27TJrViyrWe/933vj5cz1UdvvvN57Z+67Xfa+7732Ui7n0rJ07do12rXLfv0vWbJkvff3nEZzMSwHKBnTp0/PfOOprq6Oo48+OmFHbOjmzp0bEydOzKzZZZddcjm70L4TJkyIefOyp1tDSyFrkIasQRqyBvmTM0hD1iANWYM0ZA3SkDVIQ9YgDVmD/MkZpCFrkIasQRqyBvlaMr825kxbllmz6ZjuuZy9WYF9Z7+/LJYsqF3nfVvjNZG/Dp27ZK4vW7I4l3OXLc3et0OnzrmcCxuSQvlevWr9/l5evODDmD1tambNFltvt157F7LFmO0z12dNmxKLF87P5Wxalm7dumWur1y5cr329ZxGczIsBygZd955Z9TX1ze4fuCBB0aHDiagks6bb76Zud6vX7/o169fLmcPHDgwevfunVnz1ltv5XI2pCZrkIasQRqyBvmTM0hD1iANWYM0ZA3SkDVIQ9YgDVmD/MkZpCFrkIasQRqyBvmaNn5J5nrXXhXRrVdlLmd371sVnXtUZNZML9DfJ2mN10T++g4cnLm+ZNGCXM5dvCB7mEWPvv1zORc2JKtqs4eBtG3Xfr32nTr+3cz1br16R7defdZr70J69OkXXbr3zKyZVqA/NgyFhuFUVGTftzTEcxrNybAcoGQ88sgjmesHHnhgok7gP959N/shYMSIEbmeP3LkyMz1sWPH5no+pCJrkIasQRqyBvmTM0hD1iANWYM0ZA3SkDVIQ9YgDVmD/MkZpCFrkIasQRqyBvmaOXFp5vqAYZ1yPX9ggf1nTsru7xN/pxVeE/nbZORWmeuT3nkjl3MnFth3k+GjczkXNhQrly+PlcuXZdZUd1y/94UZk8Znrg/aZPP12rexNhqWvf/0yRNyPZ/SV1NTE0uXZt93dOnSZb329pxGczIsBygJa9asiWeffTazZu+9907UDfxHoZu0zTfP9yFliy22yFwv1B+0FLIGacgapCFrkD85gzRkDdKQNUhD1iANWYM0ZA3SkDXIn5xBGrIGacgapCFrkK+Zk7O/QN1/4465nt9/aPb+MyfVrPOerfGayN/mW20b7dq3b3B93BuvxOrVq4p65qra2hj/xisNrpe1aRObbblNUc+EDc2MyROivr4+s6ZXvwHrt/eUiZnrA4Zssl77NtaAjYdlrhca5kPr99577xV8/Q8aNGi99vacRnNq29wNAEREvPrqq5lT6fr37x9DhgwpuM+yZcvinXfeiVmzZsWSJUuivr4+qquro1u3bjF48ODYaKONon3Gwyp81NSpUzPXBw8enOv5G220Ueb6+++/n+v5kIqsQRqyBmnIGuRPziANWYM0ZA3SkDVIQ9YgDVmDNGQN8idnkIasQRqyBmnIGuTrw5nLM9d79q/O9fwe/aoy1wv1tz6/0xKvifx16NQ5tt/rM/Hcw/d/4vqKZTXx9D/uiX0OP6ZoZz55352xckXDr4dR2+0c3Xr1Kdp5WdauWRPzZs2MhfPmxLKlS2L16lVRXt422ldURFWHjtG1Z6/o1rNPtK+oSNIPFMvbLz+XuV5Z3WG9czZ35vTM9V79B67Xvo3Vs8CQn7kfzMj1fErfk08+mbnesWPH6N+//3rt7TntP1avXh3Tpk2LWbNmxeLFi6O2tjbatm0blZWV0alTp+jbt2/069cvKisrk/SzoTAsBygJb7zxRub61ltv3eDaW2+9Fbfffnvcf//98c4772ROt2vfvn2MGTMm9txzzzjiiCNihx12iLKysvVtm1Zu5syZmevNfZM2Y4aHFFoHWYM0ZA3SkDXIn5xBGrIGacgapCFrkIasQRqyBmnIGuRPziANWYM0ZA3SkDXI14I5KzPX8x4sU2j/BbNXrPOerfGaSONTn/1CvPj4P2PNmtWfuP7PO26JbXbbJ7r27NXks+bPnR2P3HVbgX4+3+RzssyaPjXu+f11Mf6tV+ODqZNjzepVmfVlbdpE7/6DYqNhm8cWY7aPkdvuFJ26dsu1R2iKurq6ePXpxzNrNhmxZbRp02a99p8/d1bmeq9++Q7L6VVgWM78Odn90brV1dXFgw8+mFmz7bbbrvfrf0N+Tps4cWL87Gc/ixdeeCHGjx8fq1Zlv3+2adMmhgwZEiNHjoxdd9019thjj+jRo0du/W0I1u9VC1Bk77zzTub66NGj/8+fPf/887HvvvvGlltuGZdeemm8/fbbmYNyIiJWrVoVL7zwQvzsZz+LnXbaKYYPHx6/+c1vCr4BseGZN29erFyZ/aFYnz75TuQttP+KFSti/vz5ufYAeZM1SEPWIA1Zg/zJGaQha5CGrEEasgZpyBqkIWuQhqxB/uQM0pA1SEPWIA1Zg3wtWVAbq2vrMmu69KzItYdC+6+qrYulixr//a/WeE2k03fQ4DjgC8c3uF6zZFFcd/5/xcrly5t0zrKlS+K6c38Yy2uWNliz46cOiE1Hj2nSOYW89swT8ejdt8e0Ce8VHJQTEVFfVxdzZrwfLz35cNxy1cVx5lcOi1+d+8N464VnCn6/E5rDm88/XXBgzOgdd12vvRcvnB+ra2sza7r26LleezdW1x7Zg7tW1a6MpYsW5toDpeuxxx4rODBmn332Wa+9N/TntIceeihuvPHGePvttxs1p6Curi4mT54c9913X5xxxhmx2267xde+9rV4/PHHvX+uJ8NygJIwduzYzPVNNtnkf/53TU1NnHjiibHLLrvEY4891qRzx40bF6ecckqMHj06Hn744SbtResyd+7cgjU9e+b7kNKrV+Hpwo3pE0qZrEEasgZpyBrkT84gDVmDNGQN0pA1SEPWIA1ZgzRkDfInZ5CGrEEasgZpyBrka8n87C/5R0R06to+1x46dyu8f2P6XJfalnZNpPWZI78Uw8fs0OD6zCkT42ffPylmTJ6wXvtPGfdOXPbdE2P29KkN1vTo0y+O/Nq312v/lOrr6mLsK8/H9ReeEZd998R497WXmrsl+B91a9fGP267MbOmbdt2sc1u6zcsZPH8DwvWdOrWfb32bqzO3XoUrFm0oHCftD5r166Na665JrOmXbt2sf/++6/X/p7Tmqauri6eeuqp+MY3vhFHHHFEPPvss83dUotjWA5QEqZPn565vvHGG0dExIQJE2LHHXeM3//+90WdkjZ+/PjYf//94/TTT481a9YUbV9arkWLFmWud+zYMdq3z/dDscrKyqiurs6sKdQnlDpZgzRkDdKQNcifnEEasgZpyBqkIWuQhqxBGrIGacga5E/OIA1ZgzRkDdKQNcjXsqWrM9crq8ujbft8v4rarqI8KqrKM2uWLcnu82O1rfCaSKtNeXmcfPZPY9NRWzdYM2fGtLj8+yfHLb+4pNFDc94f/27cdPn58fPTT435c2Y1WNe1R6/49sVXR3XHTuvaerOaPml8XPuT78Utv7gkVixf1tztQDzz0N/ig/cnZ9bs+Kn9o0Onzuu1/7KlSzLXK6s7RLt2+d6ntq+oiIqqqsyaZUsW59oDpenPf/5zjB8/PrPms5/9bHTt2nW99vecVjxjx46NE044Ic4888yoqalp7nZajLbN3QBARMSsWQ0/2EVEDBgwIMaNGxd77713wdr1VV9fH5dffnmMHz8+/vKXv0RFRUUu59AyLF6cffPfsWPHJH107Ngxli9f3uB6S7hJgyyyBmnIGqQha5A/OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1yJ+cQRqyBmnIGqQha5Cv5Uuz/8PjFdVpvoZaUd02alesbXB9RYEBOB/VGq+J9NpXVMQ3L7gy7r7x2njqH/d8Ys2aNavj+UcfiOcffSC6dO8ZQ0eMjt79B0Z1x05RUVkdK1csj+U1S2PuzGkxaexbsXTRgoLnDtpkszjxjAujZ9/+xb6kZJ5/9IGYOm5snHLOZdGr34DmbocN1Py5s+Nvf7g+s6a8bdv49JFfWu8zljdiWE4KlVUdonbFigbXl9dk90nrM3PmzLjyyisza9q1axdf+9rX1vsMz2nFd/fdd8cbb7wR119/fWy00UbN3U7Jy3f0JUAjrFy5suAbYl1dXey77765Dcr5qL/97W9x5JFHxtq1DX8QQetXSjdpWQr1CaVO1iANWYM0ZA3yJ2eQhqxBGrIGacgapCFrkIasQRqyBvmTM0hD1iANWYM0ZA3ytaIme2BLZaLBMpXV5Znry9dhsExrvCaaR7v2FXHMN34Q3zj38ug/ZJPM2sULPozXnnki/nnHLXHP76+LP193Rdx703Xx8J23xOvP/avgoJy2bdvFpz77+fjBFde3igEzs6dPjSt+8PX44P3Jzd0KG6C6urq45aqLY+WKhgdoRETsfejRTcrb8pqlmeuV1dXrvfe6KDSUZ1mBoT60LnV1dXHGGWfEsmXLMuu+8pWvNGkgi+e0fEyaNCmOPvromDBhQnO3UvLS3NEDZGjMRLZvfOMbMWPGjAbXO3XqFPvvv38ceuihMWrUqOjbt2907949FixYELNnz4633347/v73v8dDDz0US5dm33xGRNx///3xwx/+MK666qp1uRRakdra2sz1ysrKJH1UVVVlrhfqE0qdrEEasgZpyBrkT84gDVmDNGQN0pA1SEPWIA1ZgzRkDfInZ5CGrEEasgZpyBrka82qusz19hVtkvTRvjJ7sMzq1dl9flRrvCaa16jtd46R2+0Ub/z7qfj3I/+I915/OdasXlWUvSurO8R2e3469j/6y9GtV5+i7NlY/QcPjUHDNo/+g4fGgCGbRLdevaOyumNUdegQbdu2i2VLl8SypYtj6aKFMXXcOzHh7Tdi8rtvxcrl2QMY/lvNkkXxy7O/Fz+4/Lro2bflDwCi5fjHbTfGhLdey6zp1qt3HPD545t0zuoCfw+0r0hzn1pR4H54zari/H1Fy3DNNdfEiy++mFnTr1+/OPXUU5t0zob8nLbZZpvFyJEjY7PNNovNNtss+vXrFx07doxOnTpFu3btYvHixbFo0aKYP39+vPHGG/HSSy/Fq6++GjU1NY3af+HChfHVr341/vSnP8WgQYOK3n9rYVgO0OxWrFhRsObpp5/+xD9v27ZtnHrqqXH++edH165d/8963759o2/fvrH11lvHl770pVi0aFGcc8458etf/zrWrFmTeeYvfvGL2G+//WL//fdv1HXQuqxenT2ZuW3bNG+hhc4p1CeUOlmDNGQN0pA1yJ+cQRqyBmnIGqQha5CGrEEasgZpyBrkT84gDVmDNGQN0pA1yNeaNfWZ623Ky5L0Ueictauz+/yo1nhNNL+ysrLYepc9o++gwfHSkw/Ho3f/uUkDc8rbto1Pf+6Lsf8xx0W79hVF7LRhbdqUx4htd4xR2+8So7bfueBwns7dukfnbt2j30Ybx2ZbbhOfOerLsXpVbTz/6IPx6D1/ig9nzSx45pKF8+O3l5wdP7zi+mTXyYbt7Zf+Hf+885bMmrKysjj222dGZXV1k85aW+D+r7xN9tC0YmlTnn1Ooe9T03r861//it/85jeZNWVlZXHxxRdHx44dm3TWhvScVl5eHrvvvnvstddesddee0W/fv0y63v27Bk9e/aMYcOGxY477hgnn3xy1NbWxt133x2///3vY9q0aQXPnDdvXpx22mnxl7/8JSoqvH9+EsNygGa3cuXK9fq9Hj16xAMPPBA77LBDo3+na9eucc0118Sxxx4bBx54YCxYsCCz/uSTT47x48cnm15H6Sh081Ne4OGhWAqd48N0WjpZgzRkDdKQNcifnEEasgZpyBqkIWuQhqxBGrIGacga5E/OIA1ZgzRkDdKQNcjX2tV1mevJBsu0KTBYZk12nx+rbYXXRPNau3ZNvPTkI/HIX2+L2dOmFmfPNWviob/8MZ57+B+x1c67xz6Hfz569x9YlL3/ty7de8Qunzkkdtv/sOjas1eT9mrXviJ2P/Dw2HX/Q+PJ++6Ke2+6LtYWGMQxY/KE+PvNN8TnvnZak86GQmZNmxI3XX5e1Ndl//26x8Gfi+Fjtm/yeWvWZN//FRpiUyyFzllboE9ah4kTJ8b3v//9qCvw+v/Sl74Uu+66a5PP2xCe03r16hVHHXVUfP7zn48+fbIHzBVSUVERX/jCF+KYY46JP/7xj3HFFVcU7O3dd9+Nn//853HmmWc26ezWqk1zNwCwPm8yvXv3jieffHKdBuV81I477hhPPvlk9O7dO7Nu+vTpce21167XGbRshW4GS+Umbe3atUn6gLzIGqQha5CGrEH+5AzSkDVIQ9YgDVmDNGQN0pA1SEPWIH9yBmnIGqQha5CGrEG+6uvrM9cLDXwplkIDbOrqsvv8qNZ4TTSft158Ns4/+Qtxy1UXF21QzkctWTg/nn7g3rjwlGPjpsvPiwVzZxf9jAtv+msc/KWTmjwo56PatGkT+xx2dHz/suuie+++BeufvP+umDl1UtHOh/9t6eKFcf0FP4qVy5dl1g3edHgcccI3i3Jm4febNKMc2rTJvk8tdD9Ny7dgwYI45ZRToqamJrNu9OjRcfrppxflzA3hOe3JJ5+M73znO00elPNRbdq0ieOPPz5uv/32GDBgQMH6W2+9NcaNG1e081sTw3KAZrc+b3Y333xzjBo1qknnjh49Om6++eaCdVdddVWsKTDZlNanbdu2meupXhOFzmnXrl2SPiAvsgZpyBqkIWuQPzmDNGQN0pA1SEPWIA1ZgzRkDdKQNcifnEEasgZpyBqkIWuQrzbl2V8zXbs2zUCXugLnlBfo86Na4zWR3qra2vjzdVfE9Rf8KObPmZX7eXV1a+Plfz0al5x2fLz8r0eLund5efZ7aVMM2XxEfO/Sa6Nbr+xBAnVr18Y/bv1dbn2wYatduSKuv+BH8eHsDzLrOnTuEieeeWG0LdJ9W5tCQzrq0gxTrCswDCTPvwNofsuXL49TTjklpk+fnlnXtWvXuPrqq6N9+/ZFOXdDeE4rdI1NseWWW8att94a/fv3z6xbs2ZNXHPNNbn10ZL5mw1oduv6pnryySfH/vvvX5Sz999//zjppJPid79r+CHrgw8+iL///e9xxBFHFOVMWoZCNz+pJr77MJ3WTtYgDVmDNGQN8idnkIasQRqyBmnIGqQha5CGrEEasgb5kzNIQ9YgDVmDNGQN8lXetixzva4uzWCZtWsKDJZpl93nx2pb4TWR1qra2vj1+afH+DdfKVjbpk15bL71tjFs1NaxyfDR0aVHr+jYuXNUVFXHipqaWFazJBbMmR0T33kjJrz1Wkwa+2bmfiuW1cRNl58XM6dOisOO+3qxLilX3Xv3jZPPuiR+fvo3YvWqVQ3WvfniszF35vToPWBQwu5o7dasXh2/veSsmDpubGZdu4qKOOUnl0aP3n2LdnahQRqFhtgUy9oC96nlOQ78oHmtWrUqTjvttHjjjTcy6yorK+PXv/51DBgwoGhne05ruv79+8e1114bX/jCF6K2trbBuscffzymTp0aQ4YMSddcC2DsJNDs1mVYTrt27eL8888v6vkXXHBBwRvSv/71r0U9k9JX6DWxevXqJH205Js0aAxZgzRkDdKQNcifnEEasgZpyBqkIWuQhqxBGrIGacga5E/OIA1ZgzRkDdKQNchXocEya1cnGiyzti5zvbxt478O2xqviXTWrF4dv7nwRwUH5ZS3bRt7HnJknPfbP8e3Lvh57H/0V2LT0WOid/+BUd2xc5SXt42OXbpGnwEbxfBtdohDvvy1+P7ProsfX3tzbL/XZ6KsLPt1+vCdt8T9t91YzEvL1UbDNo/9jvpKZk19XV28+OTDiTpiQ1BXVxc3//zCePfVFzPrytu2jZPOuCiGDh9d1PPLy7PvUwsNsSmWtWuzz2nrPrVVqquri9NPPz2eeeaZzLp27drFNddcE9tss01Rz/ecVhwjR46Mr389ezheXV1d/P3vf0/UUcvhThpodh06dGh07eGHHx59+xZvamNERL9+/eLwww/PrHnooYeiri77wwlal+rq6sz1ZcuWJemjpqYmc71Qn1DqZA3SkDVIQ9Ygf3IGacgapCFrkIasQRqyBmnIGqQha5A/OYM0ZA3SkDVIQ9YgXxWV2V90rl2R5ov+tcvXZq5XVJU3eq/WeE2k84/bboz3Xn85s6Z7777xvct+FUd//bvRo0+/ddp/wJBN4vgfnhNfP/unUd2xU2btg3+6KV579sl12r857fu5L0Snrt0za1579olE3dDa1dfXx5+u/Vm8+vTjmXVlbdrEV753dozafuei91BRlX3/t3L58qKf+cnnZN8PV1RWJemDdOrr6+MnP/lJPPjgg5l1bdq0icsuuyz23HPPovfgOa14TjrppOjZs2dmzT//+c9E3bQc2Xf8AAl069YtysrKor6+8ETe448/PpcevvrVr8Zdd93V4PqCBQti3LhxMXz48KKeO3fu3Jg3b15R96Q4unbtmrme6iat0DldunRJ0gfkRdYgDVmDNGQN8idnkIasQRqyBmnIGqQha5CGrEEasgb5kzNIQ9YgDVmDNGQN8lXdqdBgmeyBL8VSuzx7gE11p4z572kAAQAASURBVHaN3qs1XhNpTH73rXjk7tsza3r3Hxg/uPz66Nila5POGr3jbvHDK38TV/7XN2LZksUN1v35uiti2MitolPXbk06L4V27Sti9wMOiwf+dFODNbOnTY2lixa2iOuhtP31d7+M5x6+v2DdF079YWy357659FBo4NXKFYmG5RQ4p7pT5yR9kM5Pf/rTzO/F/7fzzz8/DjrooFx68JxWPBUVFfH5z38+rr322gZrJk6cGPPnz48ePXok7Ky0tWnuBgDKy8sb9UZTVlYWu+yySy497LzzzlFWVpZZ88orrxT93Ouuuy5GjRq1Xv+Qr0I3aUuWLEnSx9KlSzPXC/UJpU7WIA1ZgzRkDfInZ5CGrEEasgZpyBqkIWuQhqxBGrIG+ZMzSEPWIA1ZgzRkDfJV3Tl7YMuKmuyBL8WyopjDclrhNZHGvX+4Purr6hpcr+7YKb5x7uVNHpTz3/oM2ChO/vEl0bZtw6+FmsWLMofPlJptdt+nYM3k995O0Amt2X233BBP/O2OgnVHnPit2HX/Q3Pro0Pn7O9Gr1hWk9vZH7WywLCQDobltCpXXXVV3HzzzQXrzjjjjDj66KNz68NzWnEdcMABBWtee+21BJ20HIblACWhZ8+eBWs233zz3N6QunXrFptuumlmzaRJk3I5m9LUrVv2ZNpVq1blfqO2cOHCWL16dWZNoT6h1MkapCFrkIasQf7kDNKQNUhD1iANWYM0ZA3SkDVIQ9Ygf3IGacgapCFrkIasQb46FBgss2Z1XayoyX79N9WyJatj7er6zJpCfa5LbUu8JvL3/oT3YtI7b2TWHHTsidF7wKCinjts1Fax2wGHZdY8/9iDsbwmexhAqei30cbRqWv3zJo5M95P1A2t0cN33RoP/eWPBesOOvbE+NRnP59rLx0LDMtZs3pV7tmtWbI41qzJfk8r1Cctxw033BDXX399wbrTTjstvvrVr+bai+e04ho2bFjBeQuTJ09O1E3LYFgOUBI22mijgjUjRozItYdC+0+fPj3X8ykt/fr1K1jz4Ycf5trD/PnzC9Y0pk8oZbIGacgapCFrkD85gzRkDdKQNUhD1iANWYM0ZA3SkDXIn5xBGrIGacgapCFrkK9uvSsL1ixduCrXHpYurC1Y07URff631nhN5O+5h+/PXO/Wq3fsuv+huZy9/zHHRfvKqgbXV61cES8+8c9czs7DwKHDMtfnz5mdqBNamyf+fmf87Q+FB4Xse8QX48Av5DsoJCKiW68+BWuWLlqYaw9LFy0oWNOYPil9f/zjH+PKK68sWHfiiSfGt771rdz78ZxWfFtssUXm+syZMxN10jIYlgOUhI033rhgTdeuXXPtodBkuAULCt8wrqtTTz013n777fX6h3x16NCh4Gvigw8+yLWHQjctPXr0iOrq6lx7gLzJGqQha5CGrEH+5AzSkDVIQ9YgDVmDNGQN0pA1SEPWIH9yBmnIGqQha5CGrEG+KqraRocu7TJrFs5dmWsPhfbv2LVdVFSWN3q/1nhN5G/CW69mrm+z+6eiXbv2uZzdqWu3GLHNDpk14994JZez89Cjd/ZggprF+Q4PoXV69qG/x19/e03Buj0OOiI+e8KpCTqKqKyqjo6du2bWLJib73CoQvt36totKjKGcdEy3HHHHXHJJZcUrDv22GPj9NNPT9CR57Q8DBgwIHM9j1kHLZlhOUBJGDp0aMGavIflFNp/+fLlRT+zd+/eMXLkyPX6h/wNHDgwc/3999/P9fxC+xfqD1oKWYM0ZA3SkDXIn5xBGrIGacgapCFrkIasQRqyBmnIGuRPziANWYM0ZA3SkDXIV/c+2V+inzez+N+r+qgPZ67IXO/ed92/5N8ar4n8LF20MObMmJZZM3xM9jCbptpizPaZ65PGvhX19fW59lAsVR06ZK6vqs13WBWtzwuPPxR/uu6KghnY+dMHxdGnfC9RV//Ro0/2cKi5H0zP9fy5H8zIXC/UH6Xv3nvvjXPPPbfg6/9zn/tc/OQnP0nU1X94TiuuTp06Za6vWJF9f7mhMSwHKAmjRo0qWFNVle8HAIX2X7NmTa7nU3o23XTTzPUpU6bkev7UqVMz14cNG5br+ZCKrEEasgZpyBrkT84gDVmDNGQN0pA1SEPWIA1ZgzRkDfInZ5CGrEEasgZpyBrkq+/g7MEW82bkO1im0OCavhtl9/eJv9MKr4n8fDjng4I1QzYbnmsPQzYbkbles2RRLFuyONceiqW8bbvM9bW+q8k6ePWZx+PWX/w06uvqMuu223Pf+OJpP4qysrJEnf1Hv8EbZ67PmZnzsJwC+/fbKLs/StuDDz4YP/7xj6OuwOv/4IMPjosuuij5699zWnG1a5f9/mnWwccZlgOUhG233bZgzeLF+T7IFdo/72E9lJ7hw7M/wBg7dmyu5xfaf8SI7A9AoKWQNUhD1iANWYP8yRmkIWuQhqxBGrIGacgapCFrkIasQf7kDNKQNUhD1iANWYN8DdikU+b6zElLcz1/xsTs/QcMy+7vE3+nFV4T+Vm2ZEnmetu27aKqQ8dce+jUpVvBmmVLs/ssFatX1Waut2tfkagTWro3X3gm/nDFBVFXtzazbqud94ivfP/saNMm/eiEgUOzh4XMmDQ+1/OnF9h/4NDNcj2f/Dz22GPxX//1X7F2bfbr/9Of/nRcdtllzfL695xWXLW12e+flZWViTppGQzLAUrCgAEDok+fPpk1ixYtyrWHhQsXZq537Jjvwyylp9BN0LvvvlvwJnN9rVmzJt57773MmkI3kdBSyBqkIWuQhqxB/uQM0pA1SEPWIA1ZgzRkDdKQNUhD1iB/cgZpyBqkIWuQhqxBvgoNbvlgck3Ura3P5ey1a+ti1uQCg2UKDL75xN9phddEfpbXZP//1aFz59x76NClS8GaljIsZ8nCBZnrFVVViTqhJRv7ygtx46XnxNo1azLrRmy7U5xw+vlRXt42UWcfN2iT7GE0M6ZMiLqc7lPXrl0TM6dMzKwZtEn2MB9K09NPPx3f/e53Y/Xq1Zl1e+yxR/z85z+Ptm2b5/XvOa245s2bl7leXV2dqJOWwbAcoGTstttumetz587N9fxC+w8YMCDX8yk9o0ePjoqKhqfULl++PN55551czn7zzTdjxYoVDa5XVFTEqFGjcjkbUpM1SEPWIA1Zg/zJGaQha5CGrEEasgZpyBqkIWuQhqxB/uQM0pA1SEPWIA1Zg3wN2qxTtG3f8NdNa1esjRkT8xnSMW3cklhVW9fgetv2bWLgpus+WKY1XhP5adMm++vWawoMKyiGxpxRVpZ7G0Xx4ayZmetde/RK1Akt1fg3X40bLvlxrFm9KrNusy23jZPPujjatmuXqLP/a/CmW0S79u0bXK9dsSKmTRyXy9nvj383VtWubHC9Xfv2sdGwzXM5m/y88MIL8a1vfStWrcp+/e+0005x7bXXRvuM11/ePKcV1/Tp0zPX+/Tpk6iTlsGwHKBk7LfffpnrL7/8cm5n19fXx6uvvppZM3jw4NzOpzRVVFTEtttum1nz7LPP5nL2c889l7m+3XbbZd5AQksia5CGrEEasgb5kzNIQ9YgDVmDNGQN0pA1SEPWIA1Zg/zJGaQha5CGrEEasgb5ate+PDYe2TWzZvyrC3I5e8Jr2fsOHdU12rUvX+d9W+M1kZ+KysrM9eU1S6Nu7dpce6hZvKhgTfuK7D5LwZrVq2P65AmZNT369EvUDS3R5Hffjusv/FGsrq3NrNtkxJZxyjmXRrv2zXsf1q59RWwyYsvMmvdefymXs997Pft715uM3KrZ//2wbl577bU45ZRTYuXKhocgRURsu+228etf/7rZn0M8pxXPqlWrYuzYsZk1AwcOTNRNy2BYDlAyCg3LWbBgQYwfPz6Xs8ePHx8LFmR/CLHVVlvlcjalbZdddslcf+SRR3I595///Gfm+q677prLudBcZA3SkDVIQ9Ygf3IGacgapCFrkIasQRqyBmnIGqQha5A/OYM0ZA3SkDVIQ9YgX5tt0z1z/a1n5+Vy7ptPZ+9bqK+m/G5LvCby0blbj8z1+vr6WDQ/n9fLf1s4b07Bmk5dS/+1897rL8ea1asyawYMGZaoG1qaaRPHxXXn/TBqV6zIrBu82fD4xnmXR0VlVaLOsm2x9faZ668/969czn3t2Scz14ePye6L0vLOO+/E1772tVi+fHlm3ZZbbhk33HBDVFdXJ+osm+e04vj3v/8dq1Zlv39uvvnmibppGQzLAUrGRhttFDvttFNmzcMPP5zL2YX2LS8vLzjZjtZp//33z1x/5513YvLkyUU9c8KECQUHQ33mM58p6pnQ3GQN0pA1SEPWIH9yBmnIGqQha5CGrEEasgZpyBqkIWuQPzmDNGQN0pA1SEPWIF9b7dY7c33GxKUxd/qyop45e2pNzJpak1mzZYG+srTGayIfPfr2L1gz/q3Xcu1h3BuvZK63q6iIzt1Kf1jOi48/lLle3rZtbLTpFom6oSX5YOrkuPac78eKZdl/hw7YeFh864Iro6q6Q6LOChuz216Z69MnjY85M6YV9cwP3p8cH0ydlFmz9S57FfVM8jN+/Pg44YQTYunSpZl1W2yxRfzud7+Ljh07JuqsMM9pxXHvvfdmrrdr1y5GjRqVppkWwrAcoKR85StfyVy//vrrczm30L677bZbdOhQOjfOpDNo0KAYM2ZMZs2tt95a1DNvueWWzPVtttkmBg0aVNQzobnJGqQha5CGrEH+5AzSkDVIQ9YgDVmDNGQN0pA1SEPWIH9yBmnIGqQha5CGrEG+evSrisHDu2TWPPP3GUU98+m/Tc9cHzKiS/ToW7Xe+7fGayIfHTt3ia49s4cYjX3l+Vx7KLT/gCGb5Hp+McydOT1ee/bJzJphI7eK9hUVaRqixZgzc1pcc/Z3Y9mSxZl1fTcaEqdddFVUd+ycqLPG6dl3QGy8RfYQiyfvu6uoZxbab+iI0dGzEYPAaH5TpkyJr371q7Fo0aLMumHDhsVNN90UXbpk39uk5jmt6aZOnRr//Oc/M2u22267qKysTNRRy2BYDlBSPv/5z2cOpXnnnXfi8ccfL+qZjz32WIwdOzaz5vDDDy/qmbQsRxxxROb63XffHXPnzi3KWbNnzy44/a9QP9BSyRqkIWuQhqxB/uQM0pA1SEPWIA1ZgzRkDdKQNUhD1iB/cgZpyBqkIWuQhqxBvnb4TL/M9Zce/iCWzK8tylmL5q2Mlx+bnVmz/aez+2mM1nhN5GPo8OxBF68/96+YP2dWLmePf/PVmDZxXGbN0C1G53J2Md15wy+irm5tZs02u++TqBtaivlzZsU1Z303li5akFnXu//A+PZFv4hOXbol6mzd7LzvgZnrzz/6QCxe8GFRzlr44dx48fGHMmt2+lR2P5SGGTNmxPHHHx8ffpj92hgyZEjcdNNN0b1790SdrRvPaU1z0UUXxdq12e+fBxxwQKJuWg7DcoCS0q1btzj55JMza775zW/GypUri3LeypUr45vf/GZmTWVlZXz5y18uynm0TIcddlj06NGjwfUVK1bElVdeWZSzLr/88qitbfgDtp49e8Zhhx1WlLOg1MgapCFrkIasQf7kDNKQNUhD1iANWYM0ZA3SkDVIQ9Ygf3IGacgapCFrkIasQb62/VTf6Ni1XYPrq2rr4h83TSzKWff/fmKsWVXX4Hqnbu1ju081fbBMa7wm8jF6h90y19euWRP33/q7op9bV1cXf7v5+oJ1o3bYpehnF9Ojd98eY195IbOmsrpDbLv7pxJ1REuwaP6Hcc1Z34lFH2YP0ejRp198++Kro0v3nok6W3c77LNfdOra8CCfVbUr429/KJz1xrj3pl/H6lWrGlzv1LV77LDPfkU5i/zMmTMnjj/++Jg9O3vQ3oABA+IPf/hD9O7dO1Fn685z2vq78cYb4+mnn86s6dixYxx4oAFY/5thOUDJ+eEPfxgVFRUNrr/33ntxxhlnFOWsM844I8aNy564+uUvfznzDZrWr6KiIr7yla9k1tx7773xyCOPNOmcBx98MO6///7MmuOOOy7at2/fpHOgVMkapCFrkIasQf7kDNKQNUhD1iANWYM0ZA3SkDVIQ9Ygf3IGacgapCFrkIasQb7atS+P3Q/fKLPm5Udnx1vPZg81KOSNp+bEa0/MyazZ/fBB0bZ9078C2xqviXxsueNuUVFVlVnz4hP/jGf/eV9Rz737xmtj6rixmTVduveITUdtvU77Tps4LlZlDBMopucfezDubcQQkN0PPDyqOnRM0BEtwdLFC+OXZ383Ppz9QWZd156949sXXx3devVJ1Nn6ade+IvY69KjMmhcefyhef+5fTTrn1Wcej5f/lX2vu89hR0W7du5TS9mCBQviq1/9akyfPj2zrm/fvnHzzTdHv36lPWyvNT2nvfPOO7Fy5cr1/v11cc8998QVV1xRsO4LX/hCdOrUKUFHLYu7aqDk9O/fP370ox9l1lx99dVx/vnnN+mc8847L66++urMmurq6jj33HObdA6tw3HHHRf9+/fPrPnRj34Ub7755nrt//rrr8ePf/zjzJr+/fsXvFmElk7WIA1ZgzRkDfInZ5CGrEEasgZpyBqkIWuQhqxBGrIG+ZMzSEPWIA1ZgzRkDfK1x+GDolvvysyaP105NqaNW7xe+7//7uL4y1XvZtZ0610Zexw+aL32/ySt8Zoovsrq6tjlM4cUrPvLr6+MV595oihnPvSXm+OJv91RsG6vQ4+KNuXl67T3i48/FOd97eh44u93Ru3KFevbYqY1q1fHXTdcHbdcdXHU19Vl1nbq2j0+c+SXcumDlmd5zdK49iffj9nTp2bWde7WI7598S+iZ9/se79Ssc+hRxcc6nPLVRcXHJDVkCnvvR23Xv3TzJpuvfrEXocevV77k8aSJUvihBNOiEmTJmXW9erVK/7whz/EoEEt4/6htTyn3XvvvbHvvvvGH//4x1i+fHmT9mrIqlWr4uKLL44zzjgj6gq8f/bs2TNOPvnkXPpo6QzLAUrSmWeeGZtssklmzXnnnRennnpqLF26dJ32XrJkSXzjG99o1LCds88+OwYMGLBO+9M6VVVVFRzitGzZsjjhhBPi8ccfX6e9H3300TjxxBML3jSdccYZUVmZ/cEctHSyBmnIGqQha5A/OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1yJ+cQRqyBmnIGqQha5Cv9pXlccjXhmXW1C5fG7/58evxzvPz1mnvt/89L24467WoXbE2s+7QkzeNdhXrNhgkS2u8JvLx6SOPjcrqDpk1a9esiRsv/Unc+ZtfxKra2vU6p2bxorj+wjPivlt+W7C2S/eesceBR6zXOYsXzI+7brg6zj7+iLjrt9fEjMkT1mufTzL+zVfj56efGk/8/c5G1R918neiumOnop1Py7VyxfK47rz/Kvh67Ni5a5x20VXRZ8BGiTpruvaVlXHEid/KrFm5Ynlce873460Xnlmnvd94/um49pwfRO2K7OFXnzvptGhfUbFOe5POsmXL4uSTT4533y0wZK9bt7jpppti4403TtRZ07Wm57R58+bFxRdfHHvttVdccskl8d577zV5z//2wgsvxBe/+MX44x//2Kj6s846Kzp37ly081uTsvr6+vrmbgJouqeeeirGjx+/Tr8zbty4uOKKKxpc79GjR1x66aXr3Muee+4Zm2666Tr/3v/24osvxu677x6rVq3KrOvbt2+cd955cfTRR0e3bt0arFuwYEHceeedce6558acOXMKnr/77rvHk08+GW3alOZcsbKyso/9/Pbbb8fIkSObqZsNxw9+8IO4//77M2vKysrioIMOilNPPTVz6NPEiRPjV7/6VTzwwAMFzz3kkEMy8wqtjaxBGrIGacga5E/OIA1ZgzRkDdKQNUhD1iANWYM0ZA3yJ2eQhqxBGrIGacjahun+Kac2dwufaNJbC2PejOwv7/5v82Ysjyf/Oq3B9erO7eKgr2b/x8g/ySZbdoteA6rX+ff+t1svezteeyL7O1hlZRFb79UnPv3FjaPPoIYHjMx+vyYeuX1KvP6vuQXP3WbvvnHsj/L5jlRrvKZiOXjj6z7286MT1m1oUGvy1D/ujr/8+ueNqu3YpWvsefDnYpdPHxxde/YqWD97+vvx1AP3xL8fvj9W1a5s1BknnXlRjNl1r0bVftRdN1z9iYNseg8YFKO23yU232rb2HiLUdGhU+O/gL944fwY9/rL8eR9d8X747MHPXzUnoccGUd//buNrm/N9t3046+TDTFrvz7/9Hj7pecK1u1x0BExcGjTv6vcWF2694hR2+9SlL1uuvz8ePlfj2TWlJWVxbZ77BsHfP746DtocIN1s6ZNiQf/9Id45enHCp67/V6fieN/eM4699vaLFrwYRy104iP/dncuXOjV6/Cf0/n7ZRTToknnniiYN2xxx4bw4cPT9DRf/Tq1Sv22muvouzV0p/TLr744k8cZDNkyJDYe++9Y6eddoqtt946unbt2ug9582bF88991zceuut8eabbzb697785S/H2Wef3ej6DY1hOdBKHH/88XHzzTc3dxsREXHTTTfF8ccfX5S9rr/++vjGN77RqNq2bdvGbrvtFqNHj46+fftGt27dYuHChTF79ux466234plnnok1a9Y0aq+NN944/v3vf0efPn2a0n6uDMtpHsuWLYsjjzwyJk+e3Kj6ESNGxJgxY2LgwIFRXV0dy5YtixkzZsSrr77a6EmCQ4cOjbvuuis6dMieSgytiaxBGrIGacga5E/OIA1ZgzRkDdKQNUhD1iANWYM0ZA3yJ2eQhqxBGrIGacjahqlUh+X86Yqx8fKjs5q7jYiIOOb7w2OHz/Rv8j61K9bEL779Usyd3rghQAM26RRDRnSJ7n0ro6KyPFauWBsLZq+IqWMXxweTaxq1R+9B1fHda7aPiqq2TWm9Qa3xmorFsJyP+/1l5zZqMMVH9ew3IDYZPjq69OgVHTp1iorK6lixvCaWL10S8+fOjknvvBGLF8xfpz33PvSoOPLk76zT7/y3hoblfFRZWVl07dk7+g4cHN379I3O3XpEdcdO0bZdu4iIWF6zNJYtWRxLFy+K98e9E3M/mLHOfWy10+5x4pkXRnl5aWcgFcNyIn5ywpGxYO7s5m7j/9h01Nbx3UuvLcpeK1csj59972sxZ8b7jaoftMlmsfEWo6JHn35RUVUVtSuWx/w5s2LS2Ldi5pSJjdqjz8DBcfpVv43KqqYPzGvpSnlYzj777BMzZ85s7jb+jx122CFuueWWouzV0p/TGhqW81FlZWXRr1+/GDp0aAwYMCB69uwZnTt3jvbt20dExJIlS2LRokUxf/78ePPNN2Pq1Knr3Me+++4bV199dbRt6/2zIYblQCvRWoflRERceOGFcc456SYZDhw4MB577LHYbLPNkp25PgzLaT4ffPBBHHvssfHBBx/kflb//v3jtttui/79m/4hJbQ0sgZpyBqkIWuQPzmDNGQN0pA1SEPWIA1ZgzRkDdKQNcifnEEasgZpyBqkIWsbHsNyCivWsJyIiIVzV8avfvhKLJy7sij7ZenWuzK+ecW20a13Za7ntMZrKgbDcj5uVW1t3HDRmfHuay82Ww/b7vGpOO4HP1nvITONGZaTt213/3/X4Iv+/8OwnA1jWE5ExIK5s+PnP/pmLJw3p2h7NqRbrz7x/ct+Fd179839rJbAsJx1V8xhOREt+zmtMcNy8nbggQfGz372s2j3/4bX8cnaNHcDAIX85Cc/icsuuyzatMn/r6yRI0fGs88+W/KDcmhe/fv3jz/84Q+x0UYb5XrO4MGD4+abb/ZBOhssWYM0ZA3SkDXIn5xBGrIGacgapCFrkIasQRqyBmnIGuRPziANWYM0ZA3SkDXIV7felXHKpWOiR7+qXM/p2b8qTrl0TJKhMq3xmii+9hUV8fWf/DS22/PTzXL+ngd/Lo7/wTnrPSinubVpUx6HHff1OOFH5xuUwware+++8e2Lr46e/Qbkek6vfgPjO5dcY1AOJcVz2vopLy+PH/z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169esjnun3Nqufm9k3aqVccv3vhrNGS89l5aWxQUfvjLe/9mv7/SinDfSf9CQOPPf3x9fuel3cc57/6Pd97Fr6T94aBx49Jvi7Is/GB/+6jXx7V/fE1/48a/j9He+p7NHA6CbGD58eJx66qnxiU98Im666aZ4+umn489//nNcfvnlnT1ap/rd736XuSgnImLy5MlJZvH3qHNZlgO7gDFjxsR5550X3/zmN+P++++PtWvXxuzZs+NLX/pSZ4/WoebNmxdf/OIX3/DsyCOPjAsvvDDtQHQr3//+92P79u0tnvfp0ye+973vRVVVVZvur66ujquvvjp69erVYs327dvj+uuvb9P90FXIGqQha5CGrEH+5AzSkDVIQ9YgDVmDNGQN0pA1SEPWIH9yBmnIGkQ0NzfHL6+aHnUbW85CeUVxXPLlA+KwNw/r8P6l5cWx50H9Ouy+7vZ5oFDc88sbW6359yv+K4aP3b1dfUaM2yP+/YrPZNa89OSjMX/mtHb1oXsZNHxkXPTxz8fnf3hrHH3qWVFeWdmh9x924lvivEuvaLXuobtviy11mzusb3Nzc9z83a/E5o0bWqwpr6iMy750VRx5yhkd1vcfysrKY+8DDu3we+k++vQfGPsffkyc+e+XxH986TvxzV/+If77p7+N91355Th58gWx1/4HR1WPms4eE4AubPDgwXHSSSfFFVdcET/5yU9i6tSp8cADD8Q111wTl1xySRxxxBE7veC6O2pubo7f/e53mTX77LNPTJgwocN7+3tUeCzLgW5m+PDhcfbZZ8dXvvKV+NOf/hSrVq2K+fPnx29+85v45Cc/GSeccEL07t27s8fMxQc+8IHYsmXLv/z1srKy+NGPfhRFRUWdMBXdweLFi+Mvf/lLZs1HPvKRGDp0aLv6DB8+vNVtgX/6059i8eLF7eoDhUrWIA1ZgzRkDfInZ5CGrEEasgZpyBqkIWuQhqxBGrIG+ZMzSEPW4O/+dv/ymPv82hbPi4ojLrhyYuxxQNdYANPdPg8UgkVzZ8b8WS9n1hxx8ukx8dAjOqTfxEOPjMNPOi2z5s+/uaVDetG19ezTL95+2cfjszfcEpPedEoUl5Tk1uvY094Wh51wamZNQ/2WePaRBzqs51MP/jlmv/i3Fs+Liovj3Z/8Yuy1/8Ed1hNac/yZk+PSz38zvn7LnfHVm2+P93/263Hq2y+K8QcfFjW9uuf7mQCkdeGFF8YPf/jDeOyxx+Lhhx+O66+/Pj74wQ/GMcccE3379u3s8QrSk08+2eqzxcmTJ3dYP3+PCptlOdANXH755XHXXXfF8uXLY8mSJXH77bfHf/3Xf8Wb3/zm6N+/f2ePl8TPfvazuP/++9/w7OMf/3hMnDgx8UR0J7feems0Nja2eD5mzJh4+9vf3iG93vnOd8bIkSNbPG9sbIxf/vKXHdILCo2sQRqyBmnIGuRPziANWYM0ZA3SkDVIQ9YgDVmDNGQN8idnkIasQcTW+sb4403zMmtOOG90TDxiYKKJ2qe7fR4oFE898OfM8+KSkjjjwks6tOeZF16Sufhk2tOPR+1Si+Z2dUecfHoce9rboqSkNEm/t150aZRXVGbWvDj1kQ7ptbV+S9x5848ya04+94LY77CjO6Qf7KgjTzkj9p10VPTqa/EgAPk477zz4k1velMMGDCgs0fpMqZMmZJ5Xl5eHmeeeWaH9fP3qLBZlgPdwHvf+94444wzYvDgwZ09Sqeora2NT3ziE294Nm7cuPj85z+feCK6k6amprj77rszay666KIo6aCt3KWlpfGud70rs+buu++OpqamDukHhULWIA1ZgzRkDfInZ5CGrEEasgZpyBqkIWuQhqxBGrIG+ZMzSEPW4O8euWNxrF+1tcXzwaOq45QLxyWcqH262+eBQvHik49mnu9/+DHRp3/HviTZZ8DAzCUgzc3N8eQDf+rQntCaPv0HxCHHnZRZM/flFzrkZ7oH7/xtrFu9ssXzISPHxOnvfE+7+wAA0LVt3Lgx7r333syaU045JXr37p1oIjqbZTlAl3f55ZfH2rVr3/DshhtuiKqqqsQT0Z1MnTo1Vq5s+aFbRUVFvPWtb+3Qnm9729uivLy8xfPa2tp48sknO7QndDZZgzRkDdKQNcifnEEasgZpyBqkIWuQhqxBGrIGacga5E/OIA1Zg4jtDU3x6O8XZ9ac9u7do7Ssa7xi090+DxSKNbXLY/WKZZk1h590Wi69W7v36Yf+Es3Nzbn0hpZMPPTIzPP6us2xpnZ5u3ps29YQf73rtsyasy6+NErLytrVBwCAru+uu+6K+vr6zJrJkycnmoZC4MkX0KXdfffd8Zvf/OYNz97+9rfHm9/85sQT0d088MADmefHH3981NTUdGjPnj17xjHHHJNZ8+CDD3ZoT+hssgZpyBqkIWuQPzmDNGQN0pA1SEPWIA1ZgzRkDdKQNcifnEEasgYRf3tweWxc29Di+fDdesbEIwYmnKh9utvngUKxcM7MzPOioqIYt8/EXHqP22ffKCoqavF89YplsXT+3Fx6Q0t2n3hAqzWrlr/arh5PP/iX2LB2dYvnI3fbM/Y77Oh29QAAoHu47bbsJYvDhw+Pww8/PNE0FALLcoAua+PGjfHBD37wDc/69OkTV199ddqB6JaeeOKJzPPjjjsul77HH3985vnjjz+eS1/oLLIGacgapCFrkD85gzRkDdKQNUhD1iANWYM0ZA3SkDXIn5xBGrIGEU/9OftF/qPPGpFoko7R3T4PFIoVSxZmng8aPjKqa3rl0rtHz14xcFh2dmc8+1QuvaElPXr2itLSssyaLZs3tavHE/f9IfP8uDPObdf9AAB0D7NmzYpp06Zl1pxzzjmZS0jpfizLAbqsK6+8MpYsWfKGZ1//+tdjyJAhiSeiu6mtrY25c7O3rx955JG59G7t3jlz5sTKlStz6Q2pyRqkIWuQhqxB/uQM0pA1SEPWIA1ZgzRkDdKQNUhD1iB/cgZpyBpErF1ZHwtnrG/xvLyiOPY/dnDCidqnu30eKCRrVq7IPB86amyu/YeOHJN5PuM5y3JIr0ev3pnn2xq2tvnutStXxPwZLb/wXF5RGQcdc0Kb7wcAoPuYMmVK5nlxcXGcc845iaahUFiWA3RJjz/+ePzgBz94w7MjjjgiPvCBDySeiO7oxRdfzDwfOnRoDB06NJfeI0aMiEGDBmXWvPTSS7n0htRkDdKQNUhD1iB/cgZpyBqkIWuQhqxBGrIGacgapCFrkD85gzRkDSJefLg2mptbPt/70AFRUVmSbqB26m6fBwrJpvXrMs+retTk2r+qpmfm+cLZM6I56x8AkIOGrfWZ56Vl5W2++9lHH8z8PT3hkMOjorKqzfcDANA9NDQ0xJ133plZc+SRR8awYcMSTUShsCwH6HIaGhrikksuecMHIqWlpfGjH/0oioqKOmEyupsZM2Zkno8fPz7X/hMmTMg8nz59eq79IRVZgzRkDdKQNcifnEEasgZpyBqkIWuQhqxBGrIGacga5E/OIA1Zg4jZz63JPN9nUv9Ek3SM7vZ5oJC0thSkupVlNu3V2v31W+qi9tXFuc4Ar1VfVxf1dZsza9qTi5nPP515PuGQI9p8NwAA3cf9998f69aty6yZPHlymmEoKJblAF3OV7/61Rb/5djHPvax2HfffRNPRHfV2r8k3muvvXLtv/fee2eetzYfdBWyBmnIGqQha5A/OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1yJ+cQRqyxq6usbEp5k9fl1mz+3590wzTAbrb54FC07i9MfO8rLw81/7lFRWt1iyeOyvXGeC1lrwy5w3/Q+evNXDo8Dbd3di4PV6Z/lJmzZ77HdSmuwEA6F6mTJmSed6nT5848cQTE01DISnt7AEAdsb06dPjG9/4xhuejRkzJr7whS8knojubMGCBZnno0ePzrX/qFGjMs8XLlyYa39IRdYgDVmDNGQN8idnkIasQRqyBmnIGqQha5CGrEEasgb5kzNIQ9bY1S2duzG21rW8/KJX/4roN6Sq1Xu21jfGioWbYsOahqjfvD0iIsoqiqOqpiz6Da6MPgMro7Qs//+WdXf7POy6Grdvj5XLlsbalSti88YNsW1bQ5SUlEZ5RUVU9aiJPgMGRt8Bg3doeUxHKi0ryzzfsnlzrv3rNm1qtWbFkkW5zgCvNe2ZxzPPK6t7RN+Bg9t09+K5s6N+S12L5737DYj+g4e2es/W+i2xbOH8WL92ddTXbY5obo6yisqorukZ/QYNiX4DB7eabeD1CvX7NKQiA1BYli9fHo8/nv1z6VlnnRXlOS83pTBZlgN0GU1NTfG+970vGhoa3vD8hhtuiOrq6sRT0Z0tXbo087yz/yXxkiVLcu0PqcgapCFrkIasQf7kDNKQNUhD1iANWYM0ZA3SkDVIQ9Ygf3IGacgau7pXX8lePDF8XE2LZ8vmb4pnH1we059aFSsWbo7m5pbvKSkriuG79Yzd9u0b+x41MEbt1SuKioraOnaLutvnYdeybPGCuP1nN8Tsl56NVxe8Etu3vfF7If9QVFwcg4aNjFG77xV7H3hoTDj48OjZp2+uM1ZUVmae121ufZlNe9Rt2thqzarlr+Y6A/xDU1NTPPvIA5k1u43fL4qL27Zcben8uZnnI8bt0fLXLpgXzzx0b0x7+vFYtmh+NGd8UystLYsRu+0Re0w8IPY/8rgYs+d439PgDXSF79OQJxmAwnXbbbdFU1NTZs3kyZMTTUOhsSwH6DKuv/76eOKJJ97w7Pzzz4+3vOUtiSeiO1u5cmXU19dn1gwe3LYN2Duqtfu3bNkSq1evjv79++c6B+RJ1iANWYM0ZA3yJ2eQhqxBGrIGacgapCFrkIasQRqyBvmTM0hD1iBi+cLNmedDxv7rcpmFM9bHPTfPiznPr93hPo3bmmPRzA2xaOaGePC3C2PgiOo47m0j49BThkVpWduWCLyR7vZ52LU89+iDO1Xf3NQUK5YsjBVLFsbTD/0lioqLY58DJ8Wxp50dEycdlcuyi559+mWeb1q34zlqi00b1rVas2qFZTmk8eLUR2L1imWZNfsedlSb71+2aH7m+bAx4/7lr82fOS3uuuV/YtYLf9vhPtu3b4sFs6bHglnT497bfhmDR4yKN511fhxx0ulRWla203NDd9UVvk9DnmQAClNzc3PcfvvtmTX77bdf7LnnnokmotBYlgN0CYsXL47/+q//esOz3r17x9VXX512ILq92traVmsGDBiQ6wwDBw5staa2tta/JKZLkzVIQ9YgDVmD/MkZpCFrkIasQRqyBmnIGqQha5CGrEH+5AzSkDWIWLEoe7nMgKFV//f/b92yPe74wex4+t5l0dzcvr4rl9TFlOtmxV9/tzjedtmesdfBHfN7vLt9HtgZzU1NMf1vU2P636bGyN32jLMu/mDsc+ChHdqj78BBmeeL5s3q0H7/bPHc1u9fv3pVrjNARERTY2P84dafZtaUlpbFQUef0OYeyxYvyDwfOGT4//3/9VvqYsqPr4mp9/0xmtv5TW3FkkXx6+uvigfu+N84/wMfjX0OmtSu+4C/S/F9GgqZDEA+pk6dGosXL86smTx5cqJpKERWOgNdwmWXXRYbN258w7Ovfe1rMXTo0MQT0d2tW7cu87ympibKy8tznaGysjKqq6sza1qbEwqdrEEasgZpyBrkT84gDVmDNGQN0pA1SEPWIA1ZgzRkDfInZ5CGrEHEupX1mef9Bv99uczKpXVxzUeeiaf+0v7FMq+1cmld/M9nn4+7fjInGhub2n1fd/s80FaL582O73/uo3HL1V+LLXXZS6R2xtCRYzLPN29YH7VLs1/UbKsVSxfF5o0bWq3bkRpor0f/9Pt4deErmTWHnXhq9OjZq8091q7MXuzYf8jf3xOrXbo4vv3x98cT9/6h3YtyXqt26eK4/gsfj9t/dkM0Nm7vsHuB/L5PQ1chA9BxbrvttszzqqqqOP300xNNQyGyLAcoeL/+9a/j7rvvfsOzww47LC699NLEE7ErWL9+feZ5TU1Nkjla6+NfEtPVyRqkIWuQhqxB/uQM0pA1SEPWIA1ZgzRkDdKQNUhD1iB/cgZpyBpEbFjTkHnee0BF1C7eHDf8599ixaJ8XmJsbo54aMqiuPkrL8X2hvYtmOlunwfaa+p9f4yrPv6BWLlsaYfcN3L3vVutmfHcUx3S65/NfO7pHaqrr9scjdst9iA/q2uXx+9v+mFmTUlpaZw8+cJ29dmwdnXmeZ/+A2PFkkVx9ac/FMsXLWhXr5Y0NzfHfb/7Zfzk65+Lbduyv8fy/7F333FyluX+gO8tySab3jtp1CQgNfReQq9BjoDgAVHkiAIWUEBR0aNiAQQUBQUVQQi9S++9SAIEAklI7wlJdlM2u/v7wx/n6DH7zrZ5dnb3uj4f/gjPPc9zj/LddzI77z3QcM19nYbWRgagaVatWhWPPPJIZs3BBx+c7D1OCpNhOUBBW7ZsWXz1q1/d6FppaWn89re/jeJiP8pofq3ll8S5+oRCJ2uQhqxBGrIG+SdnkIasQRqyBmnIGqQha5CGrEEasgb5J2eQhqzR3lWtr461FdkDJWprauM333oj5xCa5vD2C0vixh9Ojprq2kY9vq09H2guC2bPjJ997Ysx76PpTd6rZ5++0X/w0MyaZx+6p8nnbHTfB++ud23l6lV56QFqamriT7/8YaxdU5lZt++Rn45+g4Y0+pyq9etiTcXqnL1cedE58fGy7KE6zeGtF5+J6350UdRUV+f9LGhvmvM6Da2RDEDj3XvvvbF27drMmokTJybqhkJV2tINAGQ577zzYtGiRRtdO/fcc2ObbbZJ3BHtxbp16zLXO3XqlKSPzp07Z67n6hMKnaxBGrIGacga5J+cQRqyBmnIGqQha5CGrEEasgZpyBrkn5xBGrJGe7dmdfZgmYiI2696Lz5eUvd/g2XlJbHlDn1i7C59Y+CIrtGtV8co79YhKldVxarl62PBzNXx9otLYuprS2NdZe4b7N95aUnce920OOqLmzfouUS0vedD+zJ4+KgYtukWMXj4qBgyYnT06tc/OpV3jc5dukRpaYeoWLUyKlZ9HKtWLI+Z770d06b8Paa/OznWVlbUa//VK1fEry46N7522TXRd2DjB3hERIwbv3s8ftdf61yfN/PDmDb5jdhs6+2adM4/e/+t1xt0A3XVetdO8uP+m66PaZPfyKzp1a9/HPIfn2vSOZU5BuVERNxyzc9jxZKN308WEdGpc3lstcPOsc3Oe8Sg4aOie6/e0aVr96hYvTJWLl8W8z+aHm+99Gy8+9pLOYf/RERMeeX5uOP3V8fEM77SoOcCbUFruk5DPsgAFKZJkyZlro8YMSJ23HHHRN1QqAzLAQrWo48+GjfeeONG14YPHx6XXHJJ2oZoV6qqqjLXS0vTXEJznZOrTyh0sgZpyBqkIWuQf3IGacgapCFrkIasQRqyBmnIGqQha5B/cgZpyBrtXdX6mpw106es2Oi/Ly4pit0PHxITPjsqOnft8G/r3XuXRffeZTFkdLfYYf9BsWZ1VTz0x+nx/P1zo6a6NvPMp++cHVvs0Ce23LFPvZ7HJ9ra86FtKy4uiTE77Bzjdtotxu20a/TqNyCzvnuv3tG9V+8YtMnI2Hyb7eOg4z8bVevXxYuPPhiP3nlzLJk/N+eZK5cvjd/96KL4+s9+Ex06ljW69/H7TsgclhMRccuvfx4XXPH76NChY6PP+URV1fr4669/0aDHbNiQe3gWNNSUV16Ih2/7U2ZNUVFRnPSVb0Wn8vImnVVVj2GJH779943+++KSktjr0GPisJNOj/Ku3f5tvUevPtGjV58YNmqzGL/vhKhcvSruu+n6eOaBO6OmOnsQ3BN33xpbbT8+xu6wS/2eCLRSrfk6Dc1BBqDwTZ06Nd5+++3MmuOOOy5RNxSy4pZuAGBjKisr44tf/GKd61dffXWUN/HNFciS65evJSUlSfrIdY5fEtPayRqkIWuQhqxB/skZpCFrkIasQRqyBmnIGqQha5CGrEH+yRmkIWu0dxvqMVxmY8q7d4izf7FDHP2lLTY6WGZjOnftEMectUV8+ec7RHm33IOobrvi3ahan33D/v/V1p4PbVOP3n3ikP/4XPzg95PiS9/9aex56NE5bz6uS4eOZbHnoUfHd6+9OY474ytRUo8hb3OmT4t7bvxto877xLDRm8eILcZk1iyYNTPuufHaJp3ziXtuvDYWzJ7ZoMdUb3DtpHnNnzUj/nDZJVFbk32t2evw42Kr7XZq8nkbqtY36nFduveIr/3013H8F8/Z6KCcjSnv2i0+/cVz4ryfXhNdunXPWX/zVT+NqvW5h/lAa9QWrtPQFDIArcekSZMy10tLS+Poo49O0wwFzbAcoCB95zvfienTp290beLEiXHYYYcl7oj2pibHm3yF8kvi6hyTraHQyRqkIWuQhqxB/skZpCFrkIasQRqyBmnIGqQha5CGrEH+yRmkIWu0d9UbGj5cpmvPDnHWT7ePTbbo0agzh2/ZI8766Q7RtWf2UJoVi9fFs/fMadDebe350Db94A+3x+Enfz569u3XbHsWFxfHfkd9Os77yTXRu//AnPVP3jcp5s78sElnHnriaTlrHr/rr/HgzTc06ZwHb74hHr/rrw1+XK5rPDTEqo+Xx2++f36srazIrBu+2VZx7Gn/1SxnVm/Y0ODHdOvZK8750a9yDrOqy8gtxsZX//tX0a1nr8y65YsXxVP33d6oM6DQtZXrNDSWDEDrsH79+rj33nsza/baa6/o379/oo4oZIblAAXntddei8svv3yja927d48rrrgibUO0S6U5pnluaMSbc42R65wOHer3DQ9QqGQN0pA1SEPWIP/kDNKQNUhD1iANWYM0ZA3SkDVIQ9Yg/+QM0pA12rvi4qIGP+YzXx8bg0Z0bdK5g0Z2jc98fWzOuqfvnB3V1fUfeNHWng9tU0lJ9rWnKUZsMSbO/fFV0avfgMy6murquP/P1zXprLE77BJbbTc+Z919N10Xf/31z2NtZWWD9l9bWRm3XPOzuO+mxvVZ6tpJM1m3dk385vvnx5IF8zLrunTvEad/6wfN9t9eUXHDb2n97LkXxuARo5p07pARo+Oz516Ys+7xu26N6uo0r5UhpbZynYbGkgFoHR599NFYsWJFZs3EiRPTNEPBMywHKCgbNmyIz3/+83V+S8SPfvSjGDx4cOKuaI9y/fI11TeZ+CUxbZ2sQRqyBmnIGuSfnEEasgZpyBqkIWuQhqxBGrIGacga5J+cQRqyRntX0qFht8vscsjg2HLHPs1y9pY79omdD87+zPvKpevi7ReW1HvPtvZ8oDF69x8YX7jwR9GhY8fMurdefi4WzZ3dpLNO+sr50blL7mFTT99/Z3zvi5+JZx+6OypXr8ysrVy9Mp596O743hc/E888cNdGa4pLSnKe2aFD9vOH+thQVRW/+9GFMfO9dzLrOpSVxZkX/zj69B/YbGeXljbs9d/uBx8ZY3fYpVnOHrvDLrHbQUdk1ny8bElMfum5ZjkP2pOU12koRDIAzeP222/PXO/Xr1/svffeibqh0BmWAxSUn/3sZ/Hmm29udG38+PHxpS99KW1DtFu5vlGlqqoqSR9+SUxbJ2uQhqxBGrIG+SdnkIasQRqyBmnIGqQha5CGrEEasgb5J2eQhqzR3pWUFjWodsJnRzXr+Qd/dlQUl2T38NZzi+q9X1t7PtBYm2y6RUw4/pTMmtqamnj5yb816Zxe/QbEqV+7OIqKc996t3L50rj5qsvi/JOOiMu/dXbceu3l8dCtf4ynH7gzHrr1j3HrtZfH5d86O84/6Yi4+arLYuXypXXuNeHT2c8tIqJDx7IGPRf4v2pqauLGX/wg3n395cy6ktLS+PwFl8aorbZu1vNLGvD6r6S0NA476fRmPf/wk0/POZjqjeeebNYzob1IdZ2GQiUD0DTz58+P559/PrPm6KOPzvm+J+2HYTlAwfjggw/i+9///kbXSktL49prr43ierzRCM2hvLw8c72ioiJJH6tXr85cz9UnFDpZgzRkDdKQNcg/OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1yD85gzRkjfauY6fsm+D/2bhd+0X33s07fKJ7n7IYt2u/zJr3Xl0aNTW19dqvrT0faIoDjvtMdOvZO7PmjeeeaPI5W4/fPU740nlRVFS/YVU11dUxbfIb8dS9k+LeP/42/nrNz+PeP/42nrp3Ukyb/EbUVFdnPn7XAw+LHffaP7OmqKgoyrt2q/dzgP+rtrY2br7qp/H6M49n1hUVF8cp514U43batdl7KCvrVO/abXbZM3r06tOs5/fo3Tc+tcuemTXvvv5S1NTUNOu50F6kuk5DoZIBaLzbb78952uw4447LlE3tAbGJgEF4wtf+EKsWbNmo2tf/epXY9ttt03bUAKLFi2KxYsXt3QbbETPnj0z11P9kjjXOT169EjSB+SLrEEasgZpyBrkn5xBGrIGacgapCFrkIasQRqyBmnIGuSfnEEaskZ7V961QxQVRdTWY3bLTgcOyksP4w8aFG89u6jO9cpVG2LxnMoYsEmXnHu1tecDTdGhY1nsechR8cDNf6izZsGsmbFqxfLo1rNXk87a85Cjo2NZp7jpyh9H9YYNTdory077HBQnnn1+TH9ncmZdl249oqTU7YA03u3X/Sqe/9t9Oes+c9bXY8e9D8hLD+Vdu0VRUVHU1uOitsv+h+alh10OOCzeeO7JOtcrVq2MRXNnxcBhI/JyPrRlKa/TUIhkABqntrY27rzzzsyaHXfcMUaOHJmoI1qD4pZuACAi4vrrr48nntj4NMThw4fH9773vcQdpXHNNdfEuHHjGvUP+ZXrl8QrV65M0seqVasy13P1CYVO1iANWYM0ZA3yT84gDVmDNGQN0pA1SEPWIA1ZgzRkDfJPziANWaO9Ky4pik5dcg+UKCqKGDEmP0Obhm/VI4qKsmvmTKtfFtva84Gm2n7P/XLWTJ86pVnO2nm/g+O8n1wTfQY0/yCqouLiOOyk0+PUr10cxcXFsWzxgsz67r37NHsPtB/3/um38cTdt+asO/b0L8fuBx+Ztz6KS0qiU3nuwWpFRUUxaqv83D81aquxUZTjojbrg/fycja0Bymv01CIZAAa7sUXX4w5c+Zk1kycODFRN7QWhuUALW7hwoXxjW98o871q666Krp0MV2etHr1yp7KuX79+rz/onj58uVRVVWVWZOrTyh0sgZpyBqkIWuQf3IGacgapCFrkIasQRqyBmnIGqQha5B/cgZpyBpEdOneIWdNv6Hl0blr7rrGKO/WIfoOLs+sWTJ/Tb33a2vPB5pi0CYjo1vP3pk1C+d81GznjdhiTFx09Z/i4BNOjY5lnZplzyEjRsc5P/pVHPqZ//yfoR1LF87PfEzvfgOa5Wzan79N+nM89Nc/5qw77KTTY/9j/iPv/XTt3jNnTf8hm0R51255Ob+8a/foN3hoZs3i+XPzcja0B6mv01BoZAAabtKkSZnrXbp0iYMPPjhRN7QWhuUALe7LX/5yLF++fKNrxx13XBx++OGJO4KIQYNyT31fsmRJXntYunRpzpr69AmFTNYgDVmDNGQN8k/OIA1ZgzRkDdKQNUhD1iANWYM0ZA3yT84gDVmDiJ79cw+0GLBJfr/UdcDw7P1XLF5X773a2vOBpho6atPM9aULFzTreR07dYojPntGXHrDHXHEKV+IAUOHN2qf4ZttFZ/7+nfigit+H5uO+9S/rOUazjFo+MhGnUn79sQ9t8XdN/wmZ90Bx54Yh37mPxN0FNGrHoOfBm0yIq89DBqWvf+KJYvyej60damv01BoZADqb+XKlfHII49k1hx22GHRuXPnRB3RWpS2dANA+3bPPffUOe2te/fuceWVVybuKK2zzjorjj/++EY9dty4cc3cDf+sS5cu0atXrzoHOUVEzJs3L0aNGpW3HubOzX6ju0+fPlFenv3tDFDoZA3SkDVIQ9Yg/+QM0pA1SEPWIA1ZgzRkDdKQNUhD1iD/5AzSkDWI6D2gc0TUnYGIiM5d8ntbTeeu2fuvWVVV773a2vOBpurTP3vg2uqPs/PSWF26dY+DP31KHPzpU2LB7JkxbfKb8dG0d2PR3NmxbPHCWLN6Vaxfvy6Ki4qjrLw8evTuG4M2GREjthgb43baLfoPHlrn3nNnfJB59qBNDMuhYZ576J64/Xe5783a67Bj45jTzkrQ0T/0HTgo3n8ru6Zzl6557aFz126Z6xWrVub1fGjrWuo6DYVCBqD+7r333li3Lnv47sSJExN1Q2tiWA7Qos4777w61y699NIYPHhwwm7S69+/f/Tv37+l26AOQ4cOzfwl8UcffRR77LFH3s7/6KOPMteHDq37TXJoTWQN0pA1SEPWIP/kDNKQNUhD1iANWYM0ZA3SkDVIQ9Yg/+QM0pA12rs+g3J/43jnrh3y2kOu4TXr11XXe6+29nygqTp36ZK5vn7d2rz3MHDYiBg4bETsGUc3ea/qDRtiwewc186Rmzb5HNqPlx5/KG6+5mdRW1ubWbfrgYfFp888N1FX/9BnYO77xfI9LKe8S/awnBQ/Q6AtK4TrNLQkGYD6u/322zPXN9tss/jUpz6VqBtaE8NygBa1ZMmSjf777t27R1lZWVx33XXNdtbrr7+euT5t2rSc5+29996x2WabNVtPFLbNNtssJk+eXOf6jBkz8nr+zJkzM9c33dQb3bQNsgZpyBqkIWuQf3IGacgapCFrkIasQRqyBmnIGqQha5B/cgZpyBrt3cDh2TcnRkR06Fic1x46lJVkrtdUZw8w+Gdt7flAU5WUZg+Hqt6wIVEnzWPm++/Ehqr1da536dY9Bo8YnbAjWrPXn308/nz5f0dtTU1m3Y57HxAnnn1+FBUVJersHwYPH5WzpmNZWV576FDWMXO9ptoAOGiKtnadhoaSAaifqVOnxttvv51ZM3HixETd0NoYlgMUpJUrV8YXv/jFpGc+//zz8fzzz2fW/OEPfzAspx3ZaqutMtffeeedvJ6fa/8xY8bk9XxIRdYgDVmDNGQN8k/OIA1ZgzRkDdKQNUhD1iANWYM0ZA3yT84gDVmjvRu2WbecNWsq83uD4tqK7P1zDZ/5Z23t+UBTVa1fl7neoWN+B200t2lT3sxc33Tsp5IPNKF1euulZ+OGn30/amqyh718ate94pTzLori4vwOWtuYTUZvkbNmTUVFXnvItX9r+xkChaatXaehoWQA6mfSpEmZ6x06dIgjjzwyUTe0Nun/JgMArUSuX8K+++67UZ2nSdEbNmyIqVOnZtbk+iU2tBayBmnIGqQha5B/cgZpyBqkIWuQhqxBGrIGacgapCFrkH9yBmnIGu1dj76doluvjpk1a1fnd7hM5eqqzPWOneo/XKatPR9oqpXLl2Wul3XunKiT5jHlpecy17fcfnyiTmjN3nntpbj+x9+J6g3Z14MxO+wSp33ze1FSUpqos3/Vs2+/6Nazd2ZNZcXqvPZQuXpV5npr+xkChaatXaehoWQAclu/fn3ce++9mTX77bdf9O6d/bqR9suwHACow9Zbbx1lZXVP6KysrIy33347L2e/9dZbsWbNmjrXy8rKYty4cXk5G1KTNUhD1iANWYP8kzNIQ9YgDVmDNGQN0pA1SEPWIA1Zg/yTM0hD1iBi5NgemeurVqzP6/mrV2QPl+nRt+6Mbkxbez7QFEvmz81c79mnX6JOmm7FksUx8/136lwvLi6J7XbbJ11DtErvv/V6/PZH344NVdnXgs232SG+cOEPo7RDh0SdbdzoMdtkrq9esTyv56/+OHv/1vQzBApRW7pOQ2PIAOT26KOPxooVKzJrJk6cmKYZWiXDcgCgDmVlZbHDDjtk1jz3XPb09sZ6/vnnM9d33HHHzF9gQ2sia5CGrEEasgb5J2eQhqxBGrIGacgapCFrkIasQRqyBvknZ5CGrEHEFjv0yVyfM21l3s6ura2NuR9k79+rf6cG7dnWng801oaqqpg9fVpmTZ8BgxJ103QvPHp/1NbW1rm++ae2j249eyXsiNZm+rtT4jc/OD+q1q3LrBs9Zps48zs/jg4dW/512Jjtx2euz/pgat7Orq2tjdkfvp9Z07v/wLydD21dW7tOQ0PJANTP7bffnrk+cODA2GOPPRJ1Q2tkWA4AZNhtt90y1x955JG8nPvwww9nru++++55ORdaiqxBGrIGacga5J+cQRqyBmnIGqQha5CGrEEasgZpyBrkn5xBGrJGe5druEzlqg2xeE5lXs5ePKcyKldtyKwZPKprg/Zsa88HGmvqm6/Ghqr1mTVDRmyaqJumqa7eEM8+dE9mzW4HHZ6oG1qjWR+8F9dc8vVYt2ZNZt3wzbeKL11yWZR16pyos2xb5RiWU7FqZSycOysvZy+aOzsqVmUPgBsysnX8DIFC1Jau09AYMgC5zZ8/P+ew7WOPPTaKi41DoW7+6wCADAcffHDm+ttvvx3Tp09v1jOnTZsW77+fPaH6oIMOatYzoaXJGqQha5CGrEH+yRmkIWuQhqxBGrIGacgapCFrkIasQf7JGaQha7R3vfp3iuFbds+see/1pXk5+73Xl2WuFxcXxdDNsnv7v9ra84HGevnxhzLXS0pLY5PNtkzUTdM8//B9sWLJojrXe/cfGNvttk+6hmhV5s2cHld957xYU7E6s27IyE3jy9//eXQu75Kos9x69x8YI7cYm1nz7uuv5OXsd994OXO9uLgkNtl0i7ycDe1BW7pOQ2PIAOR2++23R01NTZ3rRUVFceyxxybsiNbIsBygRa1YsSJqa2uT/PPd7343s5dTTz015x6f+9zn0vwPQ8EYNmxYbLfddpk1f/7zn5v1zD/96U+Z69tvv30MGzasWc+EliZrkIasQRqyBvknZ5CGrEEasgZpyBqkIWuQhqxBGrIG+SdnkIasQcSOBwzKXH/h/rl5OTfXviPH9oiyTiUN3retPR9oqEVzZ8cbzz2ZWbPp2E9Fx7KyNA01wZqK1fHgLX/IrNnvqE9HcYls8e8Wzp0VV150TlSs/DizbuAmI+LsS38Z5V0Lb6DZ+P2zBzs+++BdeTn3mRz7jh6zdZR16pyXs6Gta0vXaWgMGYDcamtr44477sis2WWXXbx/SE6G5QBADrmmD95xxx2xaFHdk9wbYsGCBXHXXXc1qR9orWQN0pA1SEPWIP/kDNKQNUhD1iANWYM0ZA3SkDVIQ9Yg/+QM0pA12rtt9x4QHTOGuCz4qCKmvbmsWc98/41lsXBWRWbNuN36NWrvtvZ8oKFu++3lUVNTnVmz/Z77JeqmaSb97sr4eNnSOtf7DBgUexx6dLqGaDWWLpwfV154Tqxakf3zvv/gofGVSy+Pbj16JeqsYXbca//omDGUZv6sGfHe319r1jOnvvlqLJg1M7Nmm133atYzoT1pS9dpaAwZgNxefPHFmDs3eyDvxIkTE3VDa2ZYDgDkcNRRR0WfPn3qXF+zZk38/Oc/b5azLrvssli3bl2d63379o2jjjqqWc6CQiNrkIasQRqyBvknZ5CGrEEasgZpyBqkIWuQhqxBGrIG+SdnkIas0d6Vd+sQuxwyOLPmjqvfi6r12Tc01lfV+uq44+r3MmtKOxbHDvsPatT+be35QEM8esdf4p3XXsqs6VTeJXbYc/9EHTXecw/fGy8++kBmzTGn/Vd06NAxUUe0FiuWLokrL/xqrFiSPeywz4BB8ZUfXhE9evdN1FnDlXftHntMODKz5q+//kVUra/79WVDVK1fF7f+5heZNR06dozx+05olvOgvWlL12loDBmA+pk0aVLmeo8ePeLAAw9M1A2tmWE5AJBDWVlZnHLKKZk1d911VzzyyCNNOufBBx+M++67L7Pm1FNPjY4dvdlN2yRrkIasQRqyBvknZ5CGrEEasgZpyBqkIWuQhqxBGrIG+SdnkIasQcQ+E4dHaYe6b6FZNLsy7v/9h81y1v2//zAWz6nMrNlx/4HRpXuHRp/R1p4PrdesD96L9RlD0prTi489GHfd8JucdXseenR07tI1QUeN98ZzT8Yt1/wss2bcTrvFdrvvk6YhWo1VHy+PX110TixZMC+zrmff/vGVH14RvfoNSNRZ4+1/7GeiNGMo1MI5H8Xd9ch+fdx9w29i4ZxZmTXj950QXbv3aJbzoKW5TtPeyQAUnpUrV+Z8D/KII46IsrKyRB3RmhmWAwD1cOqpp8bgwdnfwHD++efHW2+91aj933zzzfj2t7+dWTN48OCcv6yG1k7WIA1ZgzRkDfJPziANWYM0ZA3SkDVIQ9YgDVmDNGQN8k/OIA1Zo73r0acs9v308MyaZ+6aHQ//eXqTznn4T9PjmbtmZ9Z0LCuOg04a2aRz2trzofV6+fGH4pIzPh1P3HNbrFu7Ji9nbKiqikm/vSL+9MsfRm1NTWZtt56946CJJzfLuW8+/1SsX7u2Wfb6RG1tbTx25y1x/U++EzXV1XXWdevZO04+51vNejatX+XqVXHVxefFgtkzM+u69+oTX/nh5dF3YPZrv0LRs0/fOHDiSZk1T9xzW9z/l9836Zz7b7o+nrjntsyajmWd4tDPnNakc6CQtOXrNNSHDEDhuffee2NdjiFWxx13XKJuaO0MywGAeujcuXOcf/75mTUVFRVx2mmnxeOPP96gvR999NE4/fTTo7Iy+xsXLrjggujUqVOD9obWRtYgDVmDNGQN8k/OIA1ZgzRkDdKQNUhD1iANWYM0ZA3yT84gDVmDiP1PGB59BnXOrPnbn2fE7VdNjbWVGxq099qKDTHpV1PjbzfNyFl7wGdGRo++Tc9CW3s+tF4fL1sak357RVz0uWNj0u+ujDnTpzXb3u+/9Xr84ptn5Rxw8Ynjv/DVKO/arVnOvueP18aFnzsm7vrDNbFkwbwm7zdv5vS46uJz447rr8q8kbq4pCQ+9/WLo1uPXk0+k7Zj7ZrKuOaSb+TMV9fuPePsS38ZA4Zskqiz5jHh+JOj76AhmTUP/OX3ccs1P4u1OV5z/l9rKivi5qt/Fg/c/IectQefcGr07NuvQftDoWur12moLxmAwnL77bdnro8dOzbGjBmTqBtau9KWbgAAWouDDz44Dj/88LjvvvvqrFm1alWcddZZcdhhh8VZZ50Vo0ePrrP2gw8+iKuvvjoeeOCBnGcfccQRMWHChEb1Da2NrEEasgZpyBrkn5xBGrIGacgapCFrkIasQRqyBmnIGuSfnEEaskZ716FjSZx8wdi46uuvRXVVbZ11z983NyY/tzgmnDwyPrXXgCjv1qHO2spVVfH3pxfGw3+eEauWr8/Zw6hxPWPfTw9vVP//V1t7PrR+latXxRN33xpP3H1r9B8yLMbttFts8akdYuSW46JLt+713ufj5UvjvTdfjSfvnRQfvf9uvR+39xETY4e99m9M63WqXL0qHrn9L/HI7X+JoaM2i0/tuleM22m3GDJidJSU5r4tr2r9upj65qvxwiP3x1svPZs5JOcTn/mvb8SW2+7UHO3Thvzhp5fEjKlTctZtv+d+MWPq2zFj6tsJuoro0btPjNtptybv06FjWfzn178bvzz/v2LDhqo665554K74+wvPxKEn/mfssOd+Ud617p8tFatWxuvPPh733/T7WLViWc4eRo/9VBw48aRG9U/bNW3Km7Fo7uwGPWbh3FmZ6+vWronnHr63wb1sNm7b6D9kWIMf94m2eJ2GhpABCtUrr7wSM2fObNBjpk+fnrleUVERt91WvyFO/2ynnXaKESNGNPhx9TV16tR4++3s16nHHXdc3s5vrPb0/1FrU1RbW1v3O2JAq/H000/H+++/36DHvPfee/Gzn/2szvU+ffrEj3/84wb3svfee8dmm23W4Mfl2yWXXBLf+9736lw/9dRT44YbbkjXUBMVFRX9y5+nTJkSY8eObaFu2o+KioqYOHFizhcqnxgzZkxst912MXTo0CgvL4+KioqYM2dOvP766zF16tR67TFq1KiYNGlSdOnSpSmtQ6sia5CGrEEasgb5J2eQhqxBGrIGacgapCFrkIasQRqyBvknZ5CGrLVf9804q6VbKBjP3z8nbv/Ve/WqLS4pipFje8SgEV2jW++yKO9aGpWrN8SqZeti/szVMePtj6Omun635fQe2Cm+8ssdo1uvsqa0/2/a2vNpTQ4fec2//PnRaYtbqJOWM+m3V8QT92Tf4FdUVBQ9+/aPgUOHR+8BA6N7rz5R3rVblHb4x+CmytWromLlx7Hq4xXx0Xtvx6J5cxrcx6d22TNO/9YPoqSk+b5X/vtnnhgL52x84EFph44xePjIGDJy0+jWo1eUd+0Wnbp0ieoNG2LtmspYtnB+LJgzKz56/93YUJV78NQnjvrcmXHQxJOb6ym0GQds1u9f/twes3bxaRNj2aIFLd3Gv9ls3LZxzo+varb9nnngrrjlmrrvdftnxSUlMXrMNjF4xOjo3qt3lHftFpWrV8XK5cti3swP48N33oqa6up67dVnwKD4+s+uje69ejel/VZP1v7dH3/5w3jpsQdbuo2IiDj5nG/Hrgcc2qDHtOXrdGsma+nIQPu1YtmSOH6XMf/y7xYtWhT9+vWr4xEt54ILLog777yzpduIiIj//u//jmOPPTZv+1966aXxpz/9qc71srKyePbZZ6N79/oPsEqhPf1/1Nr4qQptxO9///u48cYbm3XPpUuXxhlnnNHgx/3hD38oyGE50By6dOkS119/fZx00kkxb968nPXvvPNOvPPOO40+b/DgwXH99df7BTHtjqxBGrIGacga5J+cQRqyBmnIGqQha5CGrEEasgZpyBrkn5xBGrIGEbsdNjQqVlTFQ3/KPTSqpro2PnxrRXz41oomndmjb1l84dLt8jJYpq09H9qe2traWL54YSxfvDAv+++w5/5x6tcuTnrz8Yaq9THrg/di1gf1G1SVS3FxSfzHWV+L3Q8+sln2g9Zqz0OPjtUfr4j7brouZ21NdXVMm/xGTJv8RpPO7Nm3f/zX93/e7gfl0H61xes0NIQMQBrr16+Pe++9N7PmoIMOKrhBORS24pZuAABam8GDB8cNN9wQm2yySV7PGT58eNx4440xePDgvJ4DhUrWIA1ZgzRkDfJPziANWYM0ZA3SkDVIQ9YgDVmDNGQN8k/OIA1Zg4gDTxoZh52+aRQluKtm4PAucfYvdox+Q8vzdkZbez5QH8XFJXHUqV+M087/XpSUtt6bj7v36hNnXXKZQTnw/x3ymc/F0Z/7UhQV5/+iNmiTkfG1n14TA4bk93UxtEdt5ToNjSUD8K8effTRWLFiRWbNxIkT0zRDm2FYDgA0wvDhw2PSpEmxxx575GX/PffcM2677ba8/yIaCp2sQRqyBmnIGuSfnEEasgZpyBqkIWuQhqxBGrIGacga5J+cQRqyBhH7HT88zvjBttGlR4e8nTH+oEHx1St2il79O+XtjE+0tecDWYZvtlV88/Lr4qDjP9vSrTTJtrvtE9++6obYavvxLd0KFJQDJ54U/3XJz6Jr9555O2PXAw+Lb/7id9G7/8C8nQHtVVu5TkNjyQD8u0mTJmWuDxs2LHbeeedE3dBWGJYDAI3Uo0ePuP766+PHP/5x9OnTp1n27NOnT/zkJz+J6667Lnr06NEse0JrJ2uQhqxBGrIG+SdnkIasQRqyBmnIGqQha5CGrEEasgb5J2eQhqxBxBY79IkLrts1dj9iaBQXFzXbvkM37RZnXbZ9nHDemOjYqaTZ9s2lrT0fCt/Q0ZtH34GDk503bPTm8flvXRrf+MVvY9iozfJ6Vo/e/fK296gxW8d5P70mzvj2pdGtR6+8nQOt2Vbbj4/vXPuX2OuwY6O4uPmuPcNGbx7n/PiqOPmr34qOnQx/o21ry9dpqA8ZgMIwb968eOGFFzJrjjvuuCgqar73MWgfSlu6AQBo7Y455piYMGFC3HnnnXHTTTfFhx9+2OA9Ro8eHSeddFIce+yx0blz5zx0Ca2frEEasgZ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T4nc/ujD+63s/93l7GqW4uCQGbTIiBg4bEX0GDIou3XtEWafOUVW1PipWfhwrly+ND995KxbOmVXvPR+85YboWFYWBx3/2Wbtdcorz8etv/llvWo7dS6PrbYfH9vssmcMGj4quvfqHV26do+K1Stj5fJlMf+j6fHWi8/EO6+/FOvWrMnca8Z7b8efL/9RfP5blzbH06Cdak1Z+8RH778bf/nVT+p1TRq11dax494HxKitto4+AwZGWefyWLemMpYsmBfT350Srz75SMx47+3MPWpra+Mvv/ppDBw2IoZvvlVzPQ1odl7bQTqt8foJ1G3ixIlJzikpKYlNN900Ro8eHUOHDo1evXpF586dY926dbFixYpYvHhxvPbaazFjxox673nNNddE586d4wtf+EIeO2/9DMsBCt6gQYNijz32iD333DP22GOPGDNmTJSVldX78YsWLYq//OUv8fvf/z4mT56cs/6RRx6JH/7wh3HxxRc3pW0AGmn16tVx7rnnRlVVVWbdiBEj4pJLLoldd93139Z69OgRPXr0iHHjxsVnP/vZeO655+KSSy6JWbPqfjOiqqoqzj333Lj77ruja9euTX4eUOhkDdKQNcg/OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1ANqLzl1LY5vd+zXrnt17d4yRY3vGyHE9Y+TYnjFwky5R2rH+N2GuWrE+3nhiQbz88PyYP3N1zvr3X18Wj908Mw48aWRT2ob/UVNdHTdd+eOoqa5u6Vbq1KN3nxg1ZpvYdOynYvSYbWLgJiOiQ4eO9X78qhXL45WnHokXHrk/5s38MGf91DdeiYf/+sc45DOfa0LXtCcDhg6PrcfvHmN33CVGbD4mOnbqlPMxHy9bEs8+dE88dd/tUbHy45z19/zxtzF4xKYxbqd///tYYyxfsihu/PkPoqYmO/vFxSWx56FHx+Ennx7lXbv/23qPXn2iR68+MWzUZjF+3wlRuXpl3Pfn6+OZB+7K3PuN556Mx+++NfY76tNNfi60H60xa59YU1kR1//kO1G9YUNmXf/BQ+OEs74eW26747+tlXftHpts2j022XTL2OeIifHuG6/ELdf8LJbMn1vnfhs2VMX1P/lOfOtXN0Tn8i5Nfh7QHLy2g7Ra8/UTqFv37t3joIMOytv+o0aNin333Tf22muv+NSnPhWdO3fO+ZhFixbFrbfeGn/6059ixYoVOet/8YtfxBZbbBF77713M3TcNhmWA+1QUVFRbLrppjFo0KB4+umnW7qdf1NcXBy77LJLHHXUUXHUUUfFFlts0aT9+vfvH+ecc0589atfjeuuuy4uuOCCWLZsWeZjfvjDH8ZnP/vZGDFiRJPOpv0qKiqKTfr3iX49u8Wr79V/2h8QccUVV8ScOXMya3bbbbe48soro1u3bvXac/fdd4/bb789zj777HjxxRfrrJszZ0786le/im9961sN6hlaI1mDNGQN8k/OIA1ZgzRkDdKQNUhD1iANWYM0ZA0Ki89m0Rb0Htg5fv7Q/knPXLF4bVx66nNRW1N3zXb7DIgOZSVNOqeoOGL4lj1i7K79YtwufaP/sKbddNytZ8fY65hNYs+jh8VLD82L+3//QVSuyr6J+tFbZsYO+w+M3gNz36QCuTx25y0x+8P3N7rWd+DgWLJgXuKOIoqKi2PkFmNjm533iG122TMGDN2kSft169kr9jvq07HvkcfH8w/fG3ff+JuoWLUy8zEP3frHGL/fhOgzYFCTzqbt6tyla+xywKExft8JscmmDb8npEfvvnHYiafFAcd+Jib99sp4/m/3ZtbX1tbGX37147jomj9Hedf6/b0sy19+9dOoXL0qs6a8a7c465LLYuSW4+q9b3nX7vHpM8+NHfc+MH79vW9knnHPH6+NT+2yp5yRqbVn7RP3//m6WLpwfmbNltvuGJ//1qXRuUv9Bgpvtd1Ocf4vr4vf/eiieP+t1+qsW7pwfjxw0+/juDPOblDP0Fy8toP02sr1k/anqKgohg8fHv369YtXXnmlpduJiIihQ4fGe++9l/TMBQsWxL777hs1NXW/0Xn44YdHp3oMv2qI7t27xzHHHBNHHXVUjB07tsGP79+/f3z5y1+O0047LX70ox/FbbfdlllfW1sbF154YTzwwAPRvfu/D2clov4j2YFWa8SIEXH88cfHT37yk3jsscdi+fLl8f7778f3vve9lm7t3/zgBz+IefPmxXPPPRff/OY3mzwo558VFRXFGWecES+//HIMGzYss3bdunVx6aWXNtvZtH1D+vaKCeO3jvNOOCSuv+CMeP7X3437L/tGnHXsgS3dGrQqH3zwQfzlL3/JrNluu+3immuuqfcHDD9HfGvOAAEAAElEQVTRvXv3+PWvfx3bbLNNZt2f//zn+PDD3NOzoTWTNUhD1iD/5AzSkDVIQ9YgDVmDNGQN0pA1SEPWoOX5bBY0j1cemZ85KCciYucJg5t0xsGnjIrv3rRHnP2LHWO/44c3eVDOPysqKopdDhkSX71ip+jZryyzdkNVTTxy88xmO5v2a/H8uXH/zb/f6NqorbaOnfadkLijiMNP/nz86Ma74muX/ToOnHhSk2+m/mdFRUWx+8FHxjd+8bvo1a9/Zu2GqvXx0F9vbLazaTv6DRoan/nyN+JHN94VE8/4SqNuPv5nZZ06x0lfOT9OOffCKC7OHuj28bKl8cikm5p0XkTE26+9GO+8VvdQ04iIrj16xjn//asGDcr5Z6O2Ghdf/dGV0bVHzzprqtati9t+e0Wj9qftawtZ+8T8WTPiqfvvyKwZueW4+OJFP673oJxPlHftFmd+58cxfPOtMuuevG9SLJg9s0F7Q3Pw2g7SakvXT9qHIUOGxMEHHxxf//rX44YbbohXXnklHn744Tj77PY95O+OO+7IHJQTETFx4sRmO2/48OHx/e9/P55++un49re/3ahBOf+svLw8Lr300vjJT34SJSXZPzsWL14cv/vd75p0XltmWA60MUOGDImjjz46Lr300njooYdiyZIlMWPGjLj11lvjm9/8Zuy3337Ro0ePlm6zToccckgMGDAgr2eMHj06nnrqqZwfTrnlllti1arsSeC0TwN6dY/9dhgbZ0+cENd+/bR49urvxMO/uCB+/uWT47TD9omdx2wa3cp9Gwk0xlVXXRUbNtT9rT89e/aMX/7yl9G5c+MyVl5eHpdffnnmJM0NGzbE1Vdf3aj9obWQNUhD1iD/5AzSkDVIQ9YgDVmDNGQN0pA1SEPWIC2fzYL8qK2tjVcemZ9ZM3h01xi6WdO+oXirnfpGt17Zg2yaqu/g8jjrsh2irDz7RpI3n1oYayvrvoZDfdx81U+jat26f/v3JaWl8Zn/+kYUtUBPY3fcNbr36p3XM/oNGhLn/PdV0alzeWbdq08/FmsrK/PaC61H/yHD4tSvfSe+85ubYo+Dj4qOnTo16/47739IHH/mOTnrnrzv9lhTWdGksx78yx9y1nz2nAtjyMhNm3TO0FGbxWfP+XZmzeSXno0ZU6c06RzalraUtU88cPMfoqa6us71Lt26x+nnf6/Rz7WsU+c4/YIfZA7aqamujgduzp19aG5e20EabfH6SdszYMCAOOCAA+Kcc86J6667Ll588cV4/PHH44orrogzzjgjdt111wZ/aUNbVFtbG3fckT1ocauttmryQJuIiBEjRsRll10WDz74YJxwwgmN/l1gXY4++ui46KKLctb9+c9/jtWrVzfr2W2FYTnQBpx99tlx7733xoIFC2LOnDlx5513xoUXXhgTJkyIPn36tHR7BWnkyJHxve99L7OmoqIiHnvssUQdUehOPHC3uOrcz8WTv7ooHrviwrjyq6fEF4/cL3bfZovo2a35vvkE2rPZs2fH3/72t8yar371qzFo0KAmnTNkyJCc01MfeuihmD17dpPOgUIla5CGrEH+yRmkIWuQhqxBGrIGacgapCFrkIasQRo+mwX59+Fby2Pp/DWZNTtPGJyom6brM7BzTDh5VGbN+rXVMe3N5Yk6oi16/m/3xXt/f22ja/sf/R8xeET2f4OtXd+Bg+Owk07PrFm/dk289/dXE3VEoerWs3eccNbX4qJr/hTj9z0oikuyh5k1xV6HHhM773dwZs36tWvi9Wceb/QZsz6YGjPeezuzZtcDD4txO+3a6DP+2biddotdDjg0s+bhW//ULGfRurW1rH1iyYK58eZzT2XWHP7ZM6JXv6Z9MXuf/gNzXtfeePbJWLJgXpPOgULltR3tVVu9ftJ2nHzyyfGb3/wmnnvuuXj66afj6quvji996Uux5557Rq9evVq6vYL00ksv5fx92cSJE5t0Rp8+feK73/1u3H///XHkkUdGSR5/dpx44olx9NFHZ9ZUVlbGgw8+mLceWjPDcqANOP300+Pwww+PAQOa9hf/9ubLX/5yzhcLTz/9dKJuKHTH7T0+9tluq+jbw+RFyJebbropqjMmwo8YMSJOOOGEZjnrxBNPjGHDhtW5Xl1dHX/5y1+a5SwoNLIGacga5J+cQRqyBmnIGqQha5CGrEEasgZpyBqk4bNZkH8vPTQ/c720Q3Fsv+/ARN00jz2OHBqdu5Zm1kyfbFgOjbNqxfK48/dXb3St78DBcchn/jNxRy1j78OPi/Ku2dfnD6b8PVE3FKpdDzws9jr0mCgpyf6Z3FyOPPXM6FjWKbPmrRefafT+Lz/+cOZ6cUlJHH7yGY3ef2OOOPmMzBu3p7zyfCyaa3hqe9fWsvaJp+67I2pq6n7vpf/gobHHhCObfE5ExF6HHRN9B9Y9ILKmpjqefuDOZjkLCpHXdrRHbfX6Sdtx/PHHx7777ht9+/Zt6VZajUmTJmWud+zYMY444ogmnXHcccfFiSeeGKWlaX52nHfeedG5c+fMmkcffTRJL62NYTlAu9WhQ4c49NDsCdxTp05N1A1A+1ZTUxP33XdfZs2pp57abFM4S0tL45RTTsmsue+++6KmpqZZzoNCIWuQhqxB/skZpCFrkIasQRqyBmnIGqQha5CGrAHQVqyp2BCTn1+UWbP17v2ivFuHRB01j5LS4thqp+wbiRbNqUzUDW3Nrdf+MipXr9ro2glf+lp0LCtL3FHLKCktjbE77ppZs2DOR4m6gX/o2adv7Lj3AZk1H7z990b/3emtl57NXP/ULntGzz7NeyNrz779Ypud96hzvba2Nl56/KFmPRNyyXfWIv7x3strT2ff9Lvv0SdkDpNqiJKS0tjnyOMza1598hHvvdBmeW0H+Zfi+gnt2apVq+KRRx7JrDnooIOiR48eiTpqHgMGDIjDDjsss+bVV1/1s2MjDMsB2rVdd83+C968efMSdQLQvr344ouxePHiOtfLysriyCObZyL8J4455pjo2LFjneuLFi2Kl156qVnPhJYma5CGrEH+yRmkIWuQhqxBGrIGacgapCFrkIasAdBWvPHEgqhal30jxfgJgxN107yGb9U9c33l0nWJOqEtmfzyc/H6M49vdG2HPfePMTvsnLijljVyy7GZ6x8vW5KoE/hf43baLXN9bWVFLFu0oMH7Llu0IJYunJ9Zs8sB2V/Y3Fi59n3lyb9FbW1tXs6GuuQra594/63X4uNlS+tc79CxY4zfZ0Kj99+YXfY/JEo71P3ey8fLlsS0yW8065lQSLy2g/zL9/UT2rN777031q5dm1kzceLERN00r3333TdzffXq1TF37txE3bQehuUA7dqAAQMy1ysqKhJ1AtC+Pf74xn+x/Il99tknunbt2qxnduvWLfbcc8/MmieeeKJZz4SWJmuQhqxB/skZpCFrkIasQRqyBmnIGqQha5CGrAHQVrz8cPYXR/Ye0Ck227ZXom6aV7dedd/oHBGxfm11ok5oK9ZWVsYt1/x8o2udu3SN477wlcQdtbxuPXtnrq/PcZMa5MOm47bNWbNkQcO/OPmjaVMz14uKimLUVuMavG99jNpq6ygqKqpzfenC+TF3xgd5ORvqkq+sfWLyS89lro/dcbfoVF7e6P03pnOXrjkH301+ObsvaM28toP8y/f1E9qz22+/PXN9yJAhscsuuyTqpnntuOOOOWvmzJmToJPWxbAcoF3r3j37GyXKm/lNFQA27oUXXshc33vvvfNy7j777JO5/vzzz+flXGgpsgZpyBrkn5xBGrIGacgapCFrkIasQRqyBmnIGgBtwfwZq2P2tFWZNTsdNCjz5vxC1qm8NHO9Q1lJok5oK+6+8dexYsmija4ddeqZ0aNXn8QdtbzO5V0y1zuWlSXqBP5Xl27do7S0Q2bNmorVDd534ZyPMtf7DxkW5V2z70FprC7duke/wUMza959/eW8nA11yVfWPjH1769mro/baddG7525747Z+05945W8nAuFwGs7yL98Xz+hvXrvvfdiypQpmTXHHntsq32fs2fPntGhQ/bPjpUrVybqpvUwLAdo1xYt2vgvMz7Rt2/fRJ0AtF+LFi2KDz7I/qaD3XbbLS9n59p32rRpsXjx4rycDanJGqQha5B/cgZpyBqkIWuQhqxBGrIGacgapCFrALQVLz2c/U3lRcUROx04OFE3zW/1ivWZ6116ZN9gAv9s+ruT45kH7tro2sgtx8UehxyVtqECserj5ZnrXbr3TNMI/B9duvfIXK9av67Bey5bvDBzfdAmIxu8Z0MMGjYic/3dNwzLIb18ZC0i4uNlS2LBrJmZNVtuu2Oj9s5ly+12ylyfP2tGfLx8aV7OhpbmtR2kka/rJ7RnkyZNylwvLi6OY489NlE3+dGrV6/M9bVr1ybqpPUwLAdo1+bMmZO5PmrUqESdALRfb731Vub6oEGDYtCgQXk5e+jQodG/f//MmsmTJ+flbEhN1iANWYP8kzNIQ9YgDVmDNGQN0pA1SEPWIA1ZA6At2FBVE689viCzZvPtekev/p0SddT8VizJvrmsz8DOiTqhtdtQVRU3/eonUVtb+29rxSUl8Zkvf6PVfjN5U61YkuPLaQe23oFbtG7r12XfJFjaoWOD91z98YrM9c5dujZ4z4bo3LVb5vpH77+70Z9TkE/5yFpExMz3381c79Wvf/TqN6BRe+fSZ8Cg6NE7+8vVZ+XoD1orr+0gjXxdP6G9Wr9+fdxzzz2ZNbvttlsMHty6r2O5huGUlZUl6qT1MCwHaNceeuihzPU999wzUScA7de772a/kTxmzJi8nj927NjM9XfeeSev50MqsgZpyBrkn5xBGrIGacgapCFrkIasQRqyBmnIGgBtwdsvLI7KlVWZNTtPaN03kLz36tLM9VHjeqZphFbvoVv/GAtmzdzo2v5HnxBDRoxO21ABeee1lzLXNx27TaJO4H+trayMtZUVmTXlOQbPbEyum5obs2dD5Np/7ZrKWDRvdl57gH+Wr6xFRMz58P3M9WGjt2jUvvW1yabZ+8+ePi2v50NL8doO8i+f109orx577LFYsWJFZs3EiRPTNJMnq1evjlWrVmXW9OjRI1E3rYdhOUC7NXv27Hj22WfrXC8tLY0DDjggYUcA7VOuDxlusUV+3+jecsstM9dz9QethaxBGrIG+SdnkIasQRqyBmnIGqQha5CGrEEasgZAW/DSw/My18u7d4ixu/ZL1E3zW754bcx4++M614tLimKz7Xon7IjWav6sGfHIbX/e6FqfAYPi0M+clrijwrF88cL48J3Jda4Xl5TEFtvulLAj+Ic506dFbW1tZk2/QUMavG/1hurM9Q4dOzZ4z4boWFaWs2b2B+/ltQf4Z/nKWkTEnBkfZK7ne1DdkJGbZq7nGuYDrZHXdpBGPq+f0F5NmjQpc71nz56x//77J+omP6ZOnZrzZ8ewYcMSddN6GJYDtFvnnHNOVFfX/WbmcccdF4MHt+5vzABoDWbOnJm5Pnz48Lyev8kmm2Suf/TRR3k9H1KRNUhD1iD/5AzSkDVIQ9YgDVmDNGQN0pA1SEPWAGjtVixeG++/sSyzZsf9B0Zph9Z7O8Hdv3k/amrqvoFkmz36RY8+uYcO0L7V1NTETVf+JDZsqNro+glfOi86duqUuKvCMel3V0ZNTd2ft99ut32iZ5++CTuCf5jy6vOZ653Ku0SvfgMavG9phw6Z62sqKhq8Z0NUrl6ds2bhnFl57QH+Wb6yFhGxaO7szPV+g4c2at/66ptjSMGieXPyej60BK/tII18Xj+hPVqwYEE8/3x2ro466qjomOfhpvn25JNPZq537drVzIONaL3vbgM0weWXXx533HFHneulpaVxwQUXJOwIoP2aO3du5npLf8hwzhxvdNM2yBqkIWuQf3IGacgapCFrkIasQRqyBmnIGqQhawC0dq/8bX7U1mTXjJ/Qem+uePrOWTH5ucV1rheXFMV+nx6RriFarafvvyNmTJ2y0bXt99wvxu64a+KOCsfjd98abz7/VJ3rxSUlceDxJyfsCP6hpqYmXn/m8cya0WO2ieLiht8yV5ZjOFZlRe5hNk1RuXpVzpolC+bltQf4RD6zFhGxdNH8zPV+g/I7LKdfjmE5Sxdm9wetjdd2kEa+r5/QHt1+++1RU5P9RufEiRMTdZMfNTU18eCDD2bW7LDDDn52bIT/RYB2paqqKr773e/Gueeem1n3rW99K7bddts0TQG0Y4sXL461a9dm1gwYkN9pubn2X7NmTSxdujSvPUC+yRqkIWuQf3IGacgapCFrkIasQRqyBmnIGqQhawC0drW1tfHKo9k3926yRfcYNKJroo6aT/WGmnjoT9Pj7munZdbtf8LwGDK6W6KuaK2WL14Y9/7xtxtd69yla0w84yuJOyoM1Rs2xH03XR+3/+7KzLoJx382ho3aLFFX8L/eevGZnEMstt5590bt3a1n78z11SuWN2rf+lq9ckXOmiULDcshjXxm7ePlS6Nq3brMmp59+jZq7/rq2adf5vr6dWtjVZ4zDyl4bQdp5fP6Ce1RbW1t3HnnnZk122yzTWy++eaJOsqPxx57LOcXZey3336JumldSlu6AYAUqqqq4oEHHohvf/vb8c4772TWTpgwIS6++OJEnQG0b4sWLcpZ07dvft/o7tcv+43uiH/02adPn7z2Afkka5CGrEH+yRmkIWuQhqxBGrIGacgapCFrkIasAdDaffD35bF0/prMmvETBifqpnlUb6iJd19ZGg/84cNYOKsis3aLHXrHgSeOTNQZrdkt1/w81q6p3Ojakad8IXr0zu9rvkJTvWFDTHn1hbjnj9fGglkzM2u32n58HPIfn0vSF/yzmurquP+m6zNrSks7xPZ7NO4mwl79+meuz/rwvUbtW1+zP8i9/8dLl+S1B4jIf9bq899xt17Zw6uaqnuv3O+prFi2JLr17JXXPiBfvLaD9PJ9/YT26MUXX4zZs2dn1kycODFRN/lRXV0dV16ZPdSuQ4cOcfDBByfqqHUxLAdoU6qrq2PVqlWxcuXKmDt3brz55pvx2muvxd133x1LluR+M+Wggw6Ku+66Kzp06JCgWwBWrFiRud61a9fo2LFjXnvo1KlTlJeXR2Xlxn/pHZG7Tyh0sgZpyBrkn5xBGrIGacgapCFrkIasQRqyBmnIGgCt3csPZ3+Decey4thu7wGJummYmuraWLdmQ6ytrI6Pl6yLedNXxexpq+LtFxdHxcdVOR+/+fa94z+/u02UlBYn6JbW7NWnHo0przy/0bURW4yJPQ45Om1DCdVUV8faNZWxtrIiVixdEnNmTIvZH7wXb734bKxeuSLn47fabnx88aL/jpJStyOR3rMP3R3zPpqeWbPz/gdHl27dG7X/oGEjMtcrVn4ci+bOjv5DhjVq/ywL586KilUrc9bVpwaaKt9Zy/XfcafyLtGhQ37fe+lYVhZlnTvHujV1D5msWPlxXnuA5uC1HRSOfF8/oT26/fbbM9c7d+4chx12WKJu8uOWW26J999/P7PmmGOOiZ49e6ZpqJXxCgZoVT744IPYbLPNmn3f0tLSuPDCC+Piiy+OkpKSZt8fgI37+OPsN5C7du2apI+uXbv6kCFtmqxBGrIG+SdnkIasQRqyBmnIGqQha5CGrEEasgZAa7amYkNMfn5RZs02ew6ITl1a5jaCJfMq479Pe6HZ9y0uKYoD/mNEHHjiyCguKWr2/WlbKlatjEm/u2Kja8UlJXHil78ZxcWtd+DSonlz4ntf+I9m37e4pCQO/vQpcch/fC6Kfd6eFrB00YK4+4bfZNaUlJbGgRNPbvQZwzbdMmfNu2+8nJdhOVPfeKVedWsrK6J6wwZDDcibFFmrrMewnBQ6de6SOSyncrXhVLQ8r+2gdUhx/YT2ZtWqVfHII49k1hx88MHJfm+XD3Pnzo2f//znmTUdOnSIM844I1FHrU/rfQcPoBkUFRXFkUceGa+88kpccsklBuUAJFZIHzLMkqtPKHSyBmnIGuSfnEEasgZpyBqkIWuQhqxBGrIGacgaAK3ZG08siKp1NZk1Ox88KFE3+VdUFDF2l75xzpU7xYTPjjIoh3q5/bpfxaoVyze6tt9RJ8SQkZsm7qiwFRUVxdY77xHf/OV1cdhJp7uZmhZRU1MTf/rlD2PtmroHikZE7Hvkp6PfoCGNPqdnn77Rf/DQzJpnH7qn0ftn7vvg3fWurVy9Ki89QKqs5fpvuFN5eaP3bohcQ3kqcgz1gdbIaztofqmun9De3HvvvbF27drMmokTJybqpvnV1NTEBRdcEBUVFZl1p5xySmyyySaJump9jJEF2qUtttgijjnmmDj55JNj7NixLd0OQLu1bt26zPVOnTol6aNz586Z67n6hEIna5CGrEH+yRmkIWuQhqxBGrIGacgapCFrkIasAdCavfTwvMz1vkM6x6hxvRJ1kz/9hpbH1rv1ix32GxgDR7Teb48mvalvvhIvPfbgRtd69x8Yh514WuKOCteAoZvEp3bZK3ba96AYPHxUS7dDO3f/TdfHtMlvZNb06tc/DvmPzzX5rHHjd4/H7/prnevzZn4Y0ya/EZttvV2Tz/rE+2+9HvM+ml7v+qr1/j5IfqTKWlXV+sz1jmVp3nspy/Eez4b12X1Ca+K1HeRPyteq0J5MmjQpc33EiBGx4447Juqm+V155ZXx8ssvZ9YMGjQozjrrrEQdtU7FLd0AQGqlpaUxevToGDp0aHTpkj0FGID8qqqqylwvLU0z2zHXObn6hEIna5CGrEH+yRmkIWuQhqxBGrIGacgapCFrkIasAdBazZu+KuZMW5VZs/OEwYm6yZ/ikqLoO6hz9OhbFh07lbR0O7Qi69eujZuvuqzO9RO+dF50TDQYsdAVl5RE34FDomffflHWKXuII+TblFdeiIdv+1NmTVFRUZz0lW9Fp/LyJp83ft8JOWtu+fXPcw77qK+qqvXx11//okGP2bBhQ7OcDf8sZdaqc7ynUVKc5jVecUn2ObJGW+G1HeRP6teq0F5MnTo13n777cya4447LlE3ze+pp56Ka6+9NrOmqKgofvjDH0bXrgaFZzEsB2h3NmzYEA888EB8+ctfjtGjR8exxx4bL774Yku3BdAu5frwXkmON6CbS65zfMiQ1k7WIA1Zg/yTM0hD1iANWYM0ZA3SkDVIQ9YgDVkDoLV6+eF5mevFJUWx4/6DEnWTPzXVtfHuK0vjzmvejx+d9nzc8P234qN3P27ptmgF7rvpuliyYOM52W73fWLcTrsl7qhw1VRXx9uvvhC3/uaX8d0zTojf/vDbMWPqlJZui3Zo/qwZ8YfLLonamprMur0OPy622m6nZjlz2OjNY8QWYzJrFsyaGffcmH1jY33dc+O1sWD2zAY9pnqDvw/SvFJnbUOO/4ZzDbFpLrnOkTXaCq/tID9a4rUqtBeTJk3KXC8tLY2jjz46TTPN7IMPPojzzjsvanL87Dj55JNj9913T9RV62VYDtCu1dTUxJ133hm77rprnHjiibF8+fKWbgmgXcn1or5QPmRYXV2dpA/IF1mDNGQN8k/OIA1ZgzRkDdKQNUhD1iANWYM0ZA2A1mhDVU289sTCzJqtduoT3fuUJeoojdqaiMnPL44rz301/vzjKVG5yg3NbNysD6bGE3ffttG1TuVdYuIXzknbUCtSW1MTf3/h6fjZ18+MP1x2SVSuXtnSLdFOrPp4efzm++fH2sqKzLrhm20Vx572X8169qEnnpaz5vG7/hoP3nxDk8558OYb4vG7/trgx+X6eys0REtkrba2NnO9uDjNLa/FxdnvvcgabZHXdtA8WvK1KrR169evj3vvvTezZq+99or+/fsn6qj5LFu2LM4888xYvXp1Zt3WW28d3/zmNxN11bqVtnQDAA3Rv3//+N3vflfn+po1a2LFihWxYsWKmD17drz88svx0Ucf1Wvvm2++OZ5++um47bbbYtddd22ulgHIUFqa/XJ0w4YNSfrIdU6HDh2S9AH5ImuQhqxB/skZpCFrkIasQRqyBmnIGqQha5CGrAHQGk15YXFUrsweFDN+wuBE3dSta4+OcfxXt6xzvWp9TaxdvSHWVGyIFYvXxqz3VsbyRWvrtfcbTy6M6VNWxCnf3jpGjOnRXC3TBlRXb4ibrvxJ1NRsfNjgkad8IXr26Zu4q/zp1rNXnHj2+XWuV61fF2tWr47KilWxfMmi+Oj9d2PZogX12vvVpx6ND6b8PU6/4AcxaqtxzdUy/Jt1a9fEb75/fixZMC+zrkv3HnH6t34Qpc3896OxO+wSW203Pt594+XMuvtuui5WrlgaR536pehUXl7v/ddWVsZdN1wTzzxwV6P6a+7nS/vVUlkrzjUguI5rdnOryTGIuKTErbe0PK/toPC09GtVaOseffTRWLFiRWbNxIkT0zTTjCorK+PMM8+M2bNnZ9b17NkzrrjiiujYsWOizlo3r9iBVqV79+7x+c9/vkGPWbx4cdx5551x7bXXxuuvv55ZO3fu3JgwYUI8+OCDsfvuuzelVQDqIdeH91J9E54PGdLWyRqkIWuQf3IGacgapCFrkIasQRqyBmnIGqQhawC0Ri8/nH2DVrdeHWOr8X0SdVO3Tl1KY5dDhjToMatXrI/Jzy+OFx+YG3M+WJVZ+/GSdfHbi96IM36wbYwc27MJndKWPHbHzTFn+rSNrg3ffKvY89BjEneUX53Lu8TuE45o0GNWfbw8/v7C0/Hsg3fH7A/fz6xdsXRxXP2d8+Ks7/0sRo/ZpimtwkZtqKqK3/3owpj53juZdR3KyuLMi38cffoPzEsfJ33l/Pjhl0+NNRWrM+uevv/OePP5p+Owk06L7ffYN8q7dq+ztnL1ynj92Sfi/pt+HyuXL91oTXFJSc4BHh06uGmSpmvJrOUaVJwrA82lOsd7LyU5+oQUvLaDwlIor1WhLbv99tsz1/v16xd77713om6ax/r16+Pss8+Ov//975l1nTp1il//+tcxZEjD3j9tz4pbugGAfOvXr1984QtfiNdeey0ef/zxGD16dGb9qlWr4uCDD4533sl+wQpA0+V6o7uqKvvbjpqLDxnS1skapCFrkH9yBmnIGqQha5CGrEEasgZpyBqkIWsAtDbLF6+N999Yllmz44GDoqSkdd460LVnx9j10CFx7lXj40s/2S76DOqcWb+usjp+d9GbseCj7OEGtA+L5s2JB265YaNrxSUl8ZkvfzOKi1tnNppTtx69Yo+Dj4oLrvh9fPVHV0bfQdk3Za1dUxlXf/drMX/WjEQd0l7U1NTEjb/4Qbz7+suZdSWlpfH5Cy6NUVttnbdeevUbEKd+7eIoqsfPiJXLl8bNV10W5590RFz+rbPj1msvj4du/WM8/cCd8dCtf4xbr708Lv/W2XH+SUfEzVddVuegnIiICZ8+Jed5HTqWNei5wP/V0lkrKcl+7yXXEJvmUl2dfU6p915opby2g/xo6esntAfz58+P559/PrPm6KOPzvm7vEJSU1MT3/zmN+PZZ5/NrOvQoUNceeWVsf322yfqrG3wrh7Qruy7777x1ltvxWmnnZZZt3r16jj55JOTfbgFoL0qLy/PXK+oqEjSx+rV2R+MyNUnFDpZgzRkDfJPziANWYM0ZA3SkDVIQ9YgDVmDNGQNgNbmlb/Ni9qa7JqdDxqcppk82/RTvePrv945xh80KLNu3Zrq+MtP34nqDTn+h6HNu/mqn0bVunUbXdv3yONj2KjNEndU+DbfZvu48Fc3xq4HHpZZt27Nmrjx5z9INtCAtq+2tjZuvuqn8fozj2fWFRUXxynnXhTjdto17z1tPX73OOFL50VRUVG96muqq2Pa5DfiqXsnxb1//G389Zqfx71//G08de+kmDb5jaiprs58/K4HHhY77rV/Zk1RUVGUd+1W7+cA/1chZK2sc/Z7GmsrK5v9zI2fk/0eT1mn7CGN0Bp4bQfNoxCun9Ae3H777VFTk/1+3nHHHZeom6arra2Niy++OB588MHMuuLi4vjJT34Se++9d6LO2o7WMzYJoJmUl5fHdddd9//Yu+8oOcvyf/zXlvTee0ihhmbovXfpJCCigCCINLEBKlVBQEU6UhWQIiH0Hgi9BwktIT0hvffdbNru74/PL35Bd2dTdu6dnX29zvEcs/c1z309ObwzszPPXE9ERPz973+vsm748OFx3XXXxSWXXJK1XmbPnh1z5szJ2vEBcl3r1q0zrqe6yLC6fVq1apWkD8gWWYM0ZA2yT84gDVmDNGQN0pA1SEPWIA1ZgzRkDYC6pKKiIoa9MiNjTZ+tWkeH7vkzZK1h46I4/udbRETER0OqPvdp45fEa4O+jgO/3ztVa+SY94Y8F2M+/6TStbYdO8d3Tzo9cUd1R8PGjeOk8y+OiIj3X3m+yrop48fEkMEPxqHfOzVRZ+Szx++5Jd4b8ly1dSee/avYYe8DEnT0f/Y89Oho2KhxPHTztVkdILDjPgfF98+7KCaM/CJjXbMWraKo2NcBWX+5kLXqBj6VLUs0LKeafZq2aJmkD8g2r+1gw+XC8yfku4qKinjyyScz1uywww7Ru3fdea/vmmuuicGDB1dbd+WVV8Z3v5t5sB2V89sxUC8VFBTE3XffHRMmTIg33nijyrqbbropfvnLX0aTJtmZBnz77bfHlVdemZVjA9QF1V1kuHjx4iR9LFmyJON6dX1CrpM1SEPWIPvkDNKQNUhD1iANWYM0ZA3SkDVIQ9YAqEvGfrog5s8sy1iz08FdE3WTTkFBQQy8YIuYN3NZjP98YZV1bz89JfY5rmc0aFSUrjlywuIF8+PJv99W5frxZ/08GjXOzvXh+aKgoCC+f95FMXfm9Bj7xfAq6954ZnDsf8yJ0bBRo4TdkW+e/edd8frTg6qtO/b0c2P3Q45M0NG37bzfIdGpW8/4+58uj3mzMg+pW1cFhYVx2Ik/ikO/d2oUFBTE/DkzM9a3bNuuRvenfsmVrDVrmXkA8LKSpVnb+5vKqhlU3MywHPKI13aw/nLl+RPy3QcffBBTp07NWDNgwIBE3Wy4G264Ie6///5q6y6++OI4/vjjE3SUnwpruwGA2lJYWBi33HJLFBVV/QHY3Llz44EHHkjYFUD90qZNm4zrK1asyPqFhgsWLIiVK1dmrKmuT8h1sgZpyBpkn5xBGrIGacgapCFrkIasQRqyBmnIGgB1yUdDpmdcb9S0KLbds2OibtIqLCyIY87eLAoLC6qsKVm0Mj5+tWaHGlA3DLrjr1G6tPLhg9/ZbZ/YeqfdE3dUNxUWFsbxP/l5FBZWfb390sUL48PXXkzYFflmyOAH46VHq//OxndPOj32P+Z7CTqqXK/N+sUlt/0zDjnhlGjYqHGNHLNbr75xwR9vicNO/FEUFPzf81l1w3jaduhUI3tT/+RS1ppXMyxn1coVVT6P15SlixfFqlWZ33uprk+oa7y2g3WXS8+fkO8GDx6ccb1Zs2ZxyCGHJOpmw9x1111xxx13VFt33nnnxY9+9KMEHeUvw3KAem2rrbaKE044IWPNM888k6gbgPqnS5cu1dbMnTs3qz3Mmzev2pq16RNymaxBGrIG2SdnkIasQRqyBmnIGqQha5CGrEEasgZAXbFs6cr44t05GWv6790pGjau+ouQdV2XXs1j270zDwMa8UF2n7fJPZ9/+E4Mf/eNStcaN20WA39yQdJ+6rquvfrEdnvul7Hmiw/fTdQN+eb1Zx6Lp++r/guEBxz7/TjsxNr/AmHDxo3jiB+eEVfd90QccfKZ0an7Rut1nI022SJO/dVlcfFNf4+Nt9r2W2tzZkzL+NguG/Verz2p33Ita23WYujTkoULstrDkoXzq61Zmz6hrvHaDtZerj1/Qj5bvHhxvPLKKxlrvvvd70aTJk0SdbT+Hnjggbj++uurrTv99NPj3HPPTdBRfiuu7QYAatvRRx8dDz/8cJXr77zzTpSXl0dhYc3PFzv77LNj4MCB6/XYrbbaqoa7AUivWbNm0aZNm1iwoOo3s6dPnx59+vTJWg/TpmX+UKldu3bRtGnTrO0PKcgapCFrkH1yBmnIGqQha5CGrEEasgZpyBqkIWsA1BWfvD4rVq0oz1iz08FdE3VTe7betUMMf31WlesTRyyM8vKKKCwsSNgVtenxe26pcu2IH54Rrdu1T9hNfth21z3j4zer/tLa+JGfZ+16e/LXuy89E4/ffXO1dXt999g45rSzE3S09pq1aBmHHH9yHHL8yTFzyqQY+8Wn8fXYr2L2tCkxf86sWLZ0SaxYsTwKCwqjUdOm0apt++jSs1f02mzL2GrH3aJj1+5VHnvaxHEZ9+7S07Ac1k0uZq1xk6bRvGXrWLp4YZU182fPjE7de2ath/mzZ2Zcb9G6TTRqnPtfxob14bUdVC8Xnz8hnz377LOxfPnyjDUDBgxI1M36GzRoUPzxj3+stu6kk06KCy+8MEFH+c+wHKDeO+SQQ6KwsDDKyyv/wHDx4sUxevTo2GKLLWp8744dO0bHjpnvaAGQ77p3757xIsOvv/469thjj6zt//XXX2dc79696g+koC6RNUhD1iD75AzSkDVIQ9YgDVmDNGQN0pA1SEPWAKgLPnp5esb1zhs1i402b5Wom9qz2Q7toqAwoqKKuUFlpatjztTS6NSzWdrGqDUlixdV+vPGTZtFcYMG8e7Lz9bYXlPGj8m4Pmf61Gr322Sr70THbj1qrKds6LfdLlFQWBgVVVxvX1ZaErOnTY7OPXqlbYw668PXXopHbv9LVFRUZKzb9cDvxvFn/TxRV+unc49e0blHr9gzjt7gY61etSpmTqnm98HeG2/wPtQfuZy1dp26ZByWM3v6lNhiu52ytv/s6VMzrrfr1CVre0Nt89oOMsvl50/IV48//njG9U022SS23XbbRN2sn6eeeiouv/zyav/tOO644+LSSy9N1FX+MywHqPdatGgR7du3j9mzZ1dZM3v27KwMywHg/35Z+eKLL6pcnzhxYlb3nzRpUsb1jTf2oRL5QdYgDVmD7JMzSEPWIA1ZgzRkDdKQNUhD1iANWQMg102fsCSmjluSsWang7sm6qZ2NW5aHM1aNoilC1dWWbN04QrDcoiy0pJ45NY/J91zwldfxISvqn5dGRHxgwt+m/PDcho3bRrNW7aKJQurHii5ZOECX6hmrXzyzmvx4I3XVPkF/TV22PuA+P55F0VBQUGizmrfpDEjY9XKFVWuN2vRMrr26puwI+qyXM9al416x9djv6pyfda0KVndf3Y1x+/Ss3dW94fa5LUdVC3Xnz8hH40aNSpGjBiRsWbAgAGJulk/L774Yvz2t7+N8mr+7Tj88MPjqquu8m9HDSqs7QYAckGnTp0yrs+bNy9RJwD1T3XDyEaOHJnV/as7fr9+/bK6P6Qia5CGrEH2yRmkIWuQhqxBGrIGacgapCFrkIasAZDrPnxpesb1ogYFsf3+nRN1U/tatG6Ucb1kcdWDdIC106J124zrJUsWJ+qEuuzzD9+J+/7y+ygvX52xbttd94qTf3FJFBbWr6+9jf3y04zrG2+5rS9VslbqQta699kk4/rU8WOyuv+Uao7fvc+mWd0fapvXdvC/6sLzJ+SjwYMHZ1xv0KBBHHnkkYm6WXdDhw6NX//617F6deZ/Ow488MC47rrr/NtRw/xtAkREy5YtM64vW7YsUScA9U91F/F99dVX1f6ysL5WrVoVo0aNylhT3UWQUFfIGqQha5B9cgZpyBqkIWuQhqxBGrIGacgapCFrAOSyVSvK45M3ZmWs2XLnDtG8VcNEHdW+Rk2LMq6vXJH5rs5A9Ro3bZpxfcXy5Yk6oa4a+e8P495rL4vVq1ZlrOu3/S5x2oVXRlFRcaLOcseXH76bcX3z7XZK1Al1WV3JWo++mYfRTJ04Nsqz9N7L6tWrYtrEcRlrevTNPMwH6jqv7eDb6srzJ+SbFStWxLPPPpuxZr/99ou2bTMPeastb7/9dlxwwQWxcmXmQd177bVX/PWvf43iYv921DTDcgAioqSkJON6s2bNEnUCUP9svfXW0ahR1Xf2KS0tjREjRmRl788//zzjQLRGjRrFVlttlZW9ITVZgzRkDbJPziANWYM0ZA3SkDVIQ9YgDVmDNGQNgFz2xftzonRx5i9g7HxI10Td5IYVyzN/kbph48zDdIDqrSgry7jeqHHjRJ1QF435/JO464+/jVUrV2Ss23Sb7ePM310dxQ0aJOosdyycOycmjRlZ5XphYVH0322fdA1RJ9WlrG20yebRoGHVwx2XL1sWk8eNzsreX4/5KlYsr/p5rUHDhtFz482ysjfkCq/t4P+pS8+fkG9effXVWLhwYcaaAQMGpGlmHX344Ydx7rnnxooVmf/t2GWXXeLWW2+Nhhle+7L+DMsBiIgpU6ZkXG/Tpk2iTgDqn0aNGsX222+fsebddzPfKWF9vffeexnXd9hhh4wXQEJdImuQhqxB9skZpCFrkIasQRqyBmnIGqQha5CGrAGQyz56eXrG9VbtG8Wm2+Xm3ZazZeGc5RnXmzZ312bYUAvmzs643rR5i0SdUNdM+OrLuOMPF8XK5Zn/re7bb5s467Jro0HD+vn7zvuvPh8VFRVVrm+67XbRorXvtVC1upa1Bg0bRd9+22SsGfXpsKzsPerTjzOu991y21r/+4Fs89oO/k9de/6EfPP4449nXO/cuXPsscceibpZe8OHD4+zzjoryqoZPrf99tvH3/72N5/rZZFhOUC9N23atJg3b17Gmj59+iTqBqB+2m233TKuv/LKK1nZ9+WXX864vvvuu2dlX6gtsgZpyBpkn5xBGrIGacgapCFrkIasQRqyBmnIGgC5aMGcshj76fyMNTsd1CUKCwsSdVT7Fs0ti9LFKzPWtO3SJFE3kJ8Wzp0TJYsXZaxp37lrom6oSyaPGx23X/GrWL5sWca6jTbdIn56xZ+jUeP6+e/16tWr4p2XnslYs9tBhyfqhrqormZt8+/smHH90/fezMq+w999I+P6Fv0z9wV1ndd28H/q6vMn5IsZM2ZUewOJY489NgoLc2scyogRI+KMM86I0tLSjHXbbLNN3HXXXdG0adNEndVPRqQD9d6QIUMyrrdo0SK6d++eqBuA+umQQw6Jv/zlL1WujxgxIiZMmFCjw8vGjh0bY8aMyVhz0EEH1dh+kAtkDdKQNcg+OYM0ZA3SkDVIQ9YgDVmDNGQN0pA1AHLRsCHTo6K86vWCgogdD6pfX2oc/Unm4UGNmhZF6/bu3lyf/OXRl5Lt9fxD98YLj/yjyvWd9z80Tv7575L1ky1fDf8o43rjJk2jdfuOibqhrpg+aULcetkvYlnJ0ox13XpvHOf+/vpo0rRZos5yz3svPxcL586ucr1tx87Rf7d90jVEnVKXs9Z/j33iqfv+VuX6lPFjYtbUydGpe88a23P61xNi+qTxGWu+I2/kOa/toG4/f0K+ePzxx6O8vOo3OgsKCuLYY49N2FH1xowZE6eddlosWbIkY93mm28e99xzTzRv3jxRZ/VXbo1SAqgF9913X8b1PfbYIwoK6s8dNgBqQ48ePaJ///4Zax588MEa3fOf//xnxvXtttsuevToUaN7Qm2TNUhD1iD75AzSkDVIQ9YgDVmDNGQN0pA1SEPWAMg1FRUVMWzIjIw1G2/bJtp1rl93Oh/2Sua/k95btnYdMGygD4a+mHG9T79t5IxvmTVtctx8yQVRsnhRxrrOPXvFeVfdEE2bt0zUWe5ZVrI0XvxX1UO3IiL2O+r4KCwqStQRdUldz1r7zt2i9+ZbZax549nBNbpndcfr02/raN+5fg2fpP7x2o76rq4/f0I+qKioiCeeeCJjzS677JJTn4lNnDgxfvSjH8XChQsz1m288cbxj3/8I1q1apWmsXrOsBygXnv99dfjrbfeylhz8MEHJ+oGoH6rbtLnE088EbNnV33XhHUxc+bMeOqppzaoH6irZA3SkDXIPjmDNGQN0pA1SEPWIA1ZgzRkDdKQNQByydhPF8T8WWUZa3Y6uH59sXfcZ/NjwhcLM9Zstn3bNM1Anhrz+Scx7stPM9b0226nNM1QJ8ybNSNu/t0FsWTh/Ix1Hbt2j/OvujFatGqTqLPcNPjum2PR/HlVrrfr1CX2OOzodA1RZ+RL1nY94LCM6x+8+kIsmj+3RvZaMHd2fPTaSxlrdtk/cz9Q13ltR32XL8+fUNd98MEHMW3atIw1AwYMSNRN9aZOnRqnnnpqzJ2b+XVpr1694h//+Ee0bev9yFQMywHqrSVLlsQZZ5yRsaa4uDhOPPHERB0B1G9HHXVUtGvXrsr1ZcuWxfXXX18je/35z3+O5cuXV7nevn37OOqoo2pkL8g1sgZpyBpkn5xBGrIGacgapCFrkIasQRqyBmnIGgC55KOXp2dcb9K8OLbevUOibmpfWemqGHTjqIw1hUUF0X+fzok6gvxTVloaD91yXcaawqKi2GHvAxN1RK5bOG9u3Py7n8XCuZmHirbr1CXOv/qmaNW2faLOctO7Lz8bH7z6QsaaY047Jxo0aJioI+qKfMraTvsdHC1aVz2IYMXysnj6vjtqZK+n/vG3WLliRZXrLVq3jZ32c8N18pfXdtR3+fT8CXXd4MGDM663atUqDjwwN56PZs2aFaeeemrMnDkzY123bt3ivvvui44dOybqjAjDcoAc8cYbb8SiRYuS7VdaWhrHHHNMjB8/PmPd9773PU9MAIk0atQoTj755Iw1Tz31VLzyyisbtM+LL74Yzz33XMaaU045JRo29MES+UnWIA1Zg+yTM0hD1iANWYM0ZA3SkDVIQ9YgDVkDIFcsW7oyvnhvTsaa7fbrHA0aFiXq6NvGfbYglpWsSrbfirLVcd/vP495M5ZlrOu/d6do0drzJ/lhzOefxLKSpcn2W1FWFndd/ZuYOyPznd633+uAjEMOqD+WLFoQt1xyQcydmXm4W+v2HeP8q2+KNh06JeosNw1/94341+1/yViz1Y67Rf/d90nTEHVGvmWtQcNGsc+RAzPWfPjaS/Hpe29u0D6fvPNafPxm5vdv9jtqoOFUJOO1HaSVb8+fUJctXry42s/VjjjiiGjUqFGijqo2f/78+NGPfhRTpkzJWNe5c+e4//77o0uXLok6Yw3DcoCccN9990Xv3r3jqquuiiVLlmR1rzFjxsS+++4bQ4cOzVjXoEGDuOKKK7LaCwDfdsopp0TXrl0z1lx00UXx+eefr9fxP/300/jtb3+bsaZr167VXuwIdZ2sQRqyBtknZ5CGrEEasgZpyBqkIWuQhqxBGrIGQC7492szY9WK8ow1Ox2U+fkqm4a9MiOuPuXdeOXhiVFWmt2hOXOmlsbfLvokxn66IGNdUXFBHPSD3lntBVL6YOiLcdnpA+PFf90XZaWlWd1r1rTJceNvz4vRn/07Y11RcXF89/unZbUX6obSpUvi1kt/ETOnTMpY17JNuzj/6hujfefae85aF5++92asKCur0WNWVFTE0Cf/Ffded1mUr15dZV2L1m3jBxf8pkb3pu7L16ztd+Tx1Q4l+OcNV8ek0SPX6/gTR30ZD950TcaaNh06xT5HHr9ex4f14bUdpJOvz59QVz377LOxfPnyjDXHHXdcom6qtnjx4jjttNNi/PjxGes6dOgQ9913X/To0SNRZ3yTYTlAzliwYEFceuml0atXr/jZz34W7777blRUVNTY8ZcuXRqXXnppbL311vHRRx9VW3/ZZZdF3759a2x/AKrXpEmTuOiiizLWlJSUxGmnnRavvfbaOh371VdfjdNPPz1Kq3kj8eKLL47GjRuv07GhrpE1SEPWIPvkDNKQNUhD1iANWYM0ZA3SkDVIQ9YAyAXDhszIuN594xbRfeMWibqp3LKlq+KlBybE1ae8G0/9bXRMHLGwRq8DXr5sVbx4//j4808/iMmjF1dbf+D3e0f7rk1rbH/IBaVLl8RzD94Tl50+IB6788YYP/LzGs1Z2bLSePafd8cfzzklvh7zVbX1h37v1OjQpVuN7U/dVLasNG6/4tcxdcLYjHXNW7aO8666ITp165mosw33zAN3xu9OPSae+sftMXfm9A0+3vRJE+LWS38eT9x7a1SUVz0Er7CoKE791aXRolWbDd6T/JHPWWvYuHEce/q5GWvKlpXGrZf9Ir748J11OvZnH7wdt172y1i+bFnGuuN+fF40bNRonY4NG8prO8i+fH7+hLrq8ccfz7i+5ZZbRr9+/RJ1U7mSkpI488wz46uvMj9/tmnTJv7xj39E794GdteW4tpuAKgZb731VowZM2adHjN69OiM60uXLo177rlnnXvZe++9Y5NNNlnnx60xf/78uPnmm+Pmm2+Obt26xYABA+LAAw+MXXbZJdq1a7dOx1qyZEm888478dBDD8WTTz5Z7YUla+y7777xm9+Yws23fTxqQkyaOXedHjNpxpyM66Vly2PwG9UPb/pvO27eJzbq3H6dHwd1wSGHHBKHH354PPfcc1XWLFmyJM4+++z47ne/G2effXbG4Wbjxo2L2267LV544YVq9z7iiCPi4IMPXq++oa6RNUhD1iD75AzSkDVIQ9YgDVmDNGQN0pA1SEPWIPtcmwVVmz5hSUwdtyRjzU4H585dz0uXrIq3n54abz89NVq1bxTb7NExNu3fNjbaolU0a9lgnY5VVroqJo5YGJ+8Niu+fG92rFhe9WCBb9p42zax/wm91qN7qBtKliyON54dHG88Ozhat+sQ/XffJzbvv2P02mzLaN6y1Todq6y0NMaP/CyGvfFKfPb+W7FiedlaPW7TbbaLgwf+cH3aJ8/8409XxMRRX1Zbt92e+8XEUSNi4qgRCbqKaNW2XWy1424bfJzSpUvilccfjlcefzi699kktt11r9hqx92iW6++UVRc/dfyVq5YHqM+/Tjef+X5+PzDdzIOyVnjxHN+HZt/Z8cN7p38ku9Z226PfeOzvQ+Mj998pcqaZSVL486rfhPb73VAHPq9U6Nzj42qrJ0xeWK8+Mh98e+3h1a79477HBT9d99nfdqGGuG1HWRPvj9/kh+GDRsWkyZNWqfHTJgwIeN6SUlJPPbYY+vcy4477hi9evVa58etrVGjRsWIEZlzdtxxx2Vt/7X1y1/+MoYPH15t3WGHHRaffvppfPrpp9lvKiI6dOgQ++yzT5K96oqCipocNQjUmlNPPTXuv//+2m4jIiL+8Y9/xKmnnrpOj1nb/rt37x6bbbZZ9OrVKzp37hzt2rWLRo0aRXFxcSxZsiSWLFkSixcvjsmTJ8dnn30W48ePX+eJqltvvXW8/fbb0arVuv0ymVpBQcG3/jz84Ztiyz4mV2bT7+4aFE+/8+/abiMiIq46Y2AcvecOtd1GXmuw89G13UK9VlJSEgMGDKj2F7c1+vXrF/3794/u3btH06ZNo6SkJKZOnRqffPJJjBo1aq2O0adPnxg8eHA0a9ZsQ1qHOkXWIA1Zg+yTM0hD1iANWYM0ZA3SkDVIQ9YgDVmrn1Z++FRtt1BvuDarfvnva7Oem3h27TRSRzx5++h455mpVa4XNyyMKx7eI5o0X7dBNDXpkb+MjI9fnVFtXav2jaJj96bRplOTaNmmYTRt2SCKGxRGYVFBLF+2KpaXro6y0lWxcE5ZTJ+wNObNWBbr+m2HLr2axznXbx9Nmrmv8OG9b//Wn18dm3nIGOvu+YfujRce+UeV6zvvf2ic/PPf1cheD9xwdXw49MVq61q37xiduvWIdp26RMs2baNZi1ZR3KBBFBYVRVlpaSxfVhplpaUxf86smDZxXMydOW2dr7fv2qtv/OK626JJs+brezp544BNOnzrz/UxZ5eeNiDmz55Z2238j022+k5ccO2tG3SM35/1/Zg1dXKla8UNGkbXjXpHt94bR4tWbaJp8xbRuFmzWL1qVZQtK435s2bEzKmT4+sxX8WqlSvWes+jTj0rDhrwgw3qOx/JWn5nbY2yZaXxp5+fEbOmfr1W9T36bhq9N98q2nXqEo2aNInly0pj3qwZMX7kFzFt4ri1Okan7hvFhTfcHY2bNN2Q1vOGrKXjtV39Jmvp1IfnTyq3cP7cGLhLv2/9bPbs2dGhQ4cqHlF7Lr744njyySdru42IiLjmmmvi2GOPzdrxr7rqqvjnP/9Z5XqjRo3inXfeiZYtW2ath7Wx3377xbRp02q1h8rstNNOGf/+6iPvAAN1ytSpU2Pq1Ko/8NtQu+++ezz77LM5PygHIN81a9Ys7r333jjppJNi+vTp1daPHDkyRo4cud77de3aNe69914XGFLvyBqkIWuQfXIGacgapCFrkIasQRqyBmnIGqQhawDUhlUryuOT1zN/qWub3TvW6qCcdbFo7vJYNHd5RCzIyvF79WsVp1+5rUE51GsL586OhXNnZ+34ffptHT+97DpfpqbeW7VyRUweNzomjxtdI8crLCyK7539y9j9kCNr5HhQFzVu0jTO/f318deLzokFc2ZVWz9l/JiYMn7Meu/XpkOnOPf31xuUQ07z2g6AfLFixYp49tlnM9YcdNBBtT4oh7qlsLYbAMgFBQUFcf7558fQoUOjTZs2td0OAPF/F/7dd9990bNnz6zus9FGG8X9998fXbt2zeo+kKtkDdKQNcg+OYM0ZA3SkDV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X/zaqq1dnnFdQUBi7HHhYHHzcD6Kk9JvXELZtXxZt25dFr/4DYvge+0X5siXx+D9ui5effCTj2u+9+mI8/+h9seeh313vY4GG9NITD9WpUU5BYWFsvdPusf1eB8YmWwyNZkVFtb6mqrIyZkyeGGPffj1Gj3o5pk2c0BAlQ5NWvXp13HX95VG9OvP7FQDkUpeefWLz4TvFkG23j76bDI7mxcW1vmbxgnnxytOPxX8ffzCWL1lc6/zH/vbn6N5349hs2De/OwCAhtC2Q1n0H7xFbDxky9ho8BbRtXffKCpqXufXL120MN7677Px+rNPxOeTa75n+Qvj3nsr/n3v3+KAo09aj6qhaWjTpk3su+++Odt/9erVccEFF0RVVVXOaqBhuIoANkCpVCo23njj6NatW7z00ku5LmetLrzwwpg0aVLGOXvvvXc88MAD0bZt2zqtuc8++8Tbb78d3/nOd+L555+vcd6kSZPioosuimuuuWadaoY1pVKp6N25LDq1ax1vj8/8Zxn4quuuuy6mT5+ecc6OO+4Y119/fbRu3bpOa+60007x4IMPxplnnhmjRo2qcd706dPjhhtuiF/+8pfrVDM0RrIGyZA1yD45g2TIGiRD1iAZsgbJkDWIaFnaLIbt0y222bNr9Byw7g/saVPWIvY7rn/sPqJPPHrzhHjj6c8zzk+nI+7748fxiz9vHy1La795ua6e/vtnsWBWRcY5A7buECdesHm0rGNTm4FDy+KcG4bFHb/7MD59f2GN8xbMqoh//+OzOPSHm6xTzfB1qVQqOnXrEW06dIxPx7yf63IiIqKsS7cY+fgrie65cN6c+PX3R0S6urrGOcN23yeat2iRYFU0JfmYtS/cfcMVUb5sacY5JaWt4/SLrox+m25W53VLStvEd089J7bdbZ/408U/z7jHY3+7Jbbcfpco69KtzutDNn345qtx3y1/rHXeltvvEod9/4zo3L3nOq3frKgo+gzYNPoM2DQOPPp7MX/OrHjt34/FK08/Vs+Koen7z8P/rLGxVMeu3WPerMx/LwRqls+fVaExaNmqNLbf+8AYvsd+0Xvjgev8+rYdOsZBx3w/9v720fHAn6+P1575V8b56XQ67r7h8rjgpn9ESWndvkOADYX3NKifVEFB9Bs4JLbYbufYYvtdokvP3uu1Xut27WPPQ78be3zriHjt3/+KR++8OZYvXZLxNU/f97cYvud+zg+SmJ49e8b48eMT3XPWrFmxxx57RHWG76IOPvjgKK5Dw8Vs+etf/xpjx45d61ivXr1i2rRpCVdEfRXkugAg+/r27RtHHHFE/OEPf4j//Oc/sXDhwpgwYUJcfPHFuS5trT766KMYOXJkxjk77LBDPProo3VulPOFdu3axWOPPRbDhw/POO+GG26Ijz/+eJ3WZsPWo2P72G/45vGTIw+I2847OV7702/iiSt/Hqd/e59clwaNyqeffhp33313xjlbb7113HTTTXW+cP4Lbdq0iT/96U+xxRZbZJz3j3/8IyZOrL2jLzRmsgbJkDXIPjmDZMgaJEPWIBmyBsmQNTZ0Hbu3jBFnbRoX/mPnOPSHm9SrUc6aWhQXxnd/PCiO/tngKChIZZy7ZMGqeP6+Keu135pmTVkWr/4rc+OrPoPaxvd/s0WdG+V8oWVpUXz/oi2j98DM/31eeWx6zJ66fJ3WhrIu3WLrnfeIw046Lc76/XVx5T+fit/8+Z9x0DHfz3VpOTXquSczNsqJiNhhn4MTqoamoLFkbew7o+Kjd2puthgRUdq2Xfz4shvWqVHOmvoP2izOvvT6KG3brsY5lStXxv1/vq5e60NDWzRvbvz92t9nfF9o1qwojj3rvDjlgsvWuVHO2pR17hqHHH9K/O6Oh+LbPzhjvdeDpmbuzBnxxD1/XetY/0Gbx7A99ku4ImjcGstnVch3nbr1jKN/9PO49M5HYsTJZ9WrUc6aWhS3jGPPOjdOOOf8KCgozDh38YL58ewDd63XftAUeE+D9Xfwcf8Xl975SPz0yj/FPiOOXe9GOWtKpVKx0/7fip9f85do36lzxrlVlavi6XvvbLC9IR899NBDGRvlRESMGDEioWq+aerUqXHjjTeudWzrrbeOb33rWwlXxPpYtysUgLzXo0ePGDZsWGy77bZf/lNWVpbrstbJxRdfHFVVVTWOd+jQIe69994oKSmp1/qtWrWK++67L7baaqtYtGjRWudUVVXFJZdcEvfcc0+99qBp69K+TQzp3yuG9OsZm/XtEUP69Yx2rVvluixoEm688caM7wHt2rWLa6+9Nlq2bFmv9UtKSuKPf/xjHHbYYbFkydq79VZVVcXIkSPjmmuuqdce0BjIGiRD1iD75AySIWuQDFmDZMgaJEPW2FB16lES+xzbL7berUsUFGZualMf2+7dLVZVrI4Hb8z89L9XHpseex3ZN4rXsXnN2jxz16SoXp2ucbykdbM4/lebRfPizDe21KRFcWEc/6vN4poz3owVy9b+/43q1el45q5Jcfwv69e8gKavXVmn6DNg0+g9YNPovfH/fi1ts24P4NoQpNPpGPXckxnn9Ow/YL1veqPpasxZe+ru22udc/yPz48e/TZer3169h8Qx//4V/Gni39R45wP33glJo0bU++mPNAQ0ul03HnN7zI+7bx5i+I49cI/xMAtt2nw/YuKmsemWw1r8HWhsbvnxiuicuXKb/y8sFmzOPqMn8d7r76Qg6qgcWjMn1UhX3Xu0SsOOOp7se2ue0VBYf3O/WWy3V4HxMqVFXHvTVdnnPfi4w/Gvt89PlqWuGeHDYP3NMiOIdvukPU9OnXrET++7Ma47MyTomJFeY3z3n7pP/Gd/zsriut5fzTks3Q6HQ899FDGOYMGDYohQ4YkVNE3XXjhhVFRUfGNnxcVFcUll1wS//73v3NQFfXVZJrlzJ49O7p06ZLrMiAnzjzzzOjSpUsMGzas0efgs88+iwcffDDjnN/97nfRq1ev9dqnT58+cfHFF8fZZ59d45z7778/Lr300ujXr9967UXTcMw+O0ZZm9axWf+e0bHtuj3dEqibadOmxTPPPJNxztlnnx3dunVbr3169OgRZ555Zvz+97+vcc7TTz8d55xzznq/30A+kjVIhqxB9skZJEPWIBmyBsmQNUiGrLEhat2+eXznRwNjuwO6R2FhQVb32vHgnjFl3OJ4+7lZNc5ZVbE63n9pdmx/QI/12mv+zBXx4StzM8454MSNon2n4vXap0OXlrHfcf3jkZsn1Dhn9MtzYv73VkRZ1/o12aLp2f2QEdG6XfvoM2BQtGnfIdflNAqffPhezJv1ecY5O+xzcELV0Fg0haxN/XRcTBo/NuOcHfY5KDYb1jA3zGw2bMfYfu8DMzan+vd9f49TL/xDg+wH9fHmC/+OCaPfqXE8VVAQ3/vFRVlplAOs3WvPPB7jP1h7Lvc67Kjo3re/ZjnwNU3hsyrko9btOsSRp/80dtrvkCgszO6tp7seeHhMHjc23nj+6RrnrKpYEe++/HzstN8hWa0Fcsl7GjQdHbt2j4OO/UE8eOsNNc5ZVbEixn/wdmy5w64JVgbJeOONN2LatGkZ54wYMSKhar7pgQceiNdff32tY9/73vdik0020Synkcnu1RkJuvnmm6Nv375x6aWXxqxZNV8MAk3RD37wgzj44IMbfaOciIiRI0fG6tWraxwfMGBAnHLKKQ2y1+mnnx79+/evcXz16tVx0003NcheNH7f2W147L71II1yIIvuuuuujO8Bffv2jSOPPLJB9jrmmGMyXhi/evXquPvuuxtkL8g3sgbJkDXIPjmDZMgaJEPWIBmyBsmQNTZEw/ftHjse3DPrjXK+cOD3No7mLTLvNeb1zE1u6uLVf02P6up0jeMde7Rc74Y8X9jxkB5R1q3mRjjV1el47V/TG2QvmoYd9z04Nh++k5tH1sFrzzyecbxZUfMYvsc+CVVDY9EUsvbm85kvbC8oLIyDjzu5Qfc85LiTo6CwsMbxMW+9FnNmZL5hALJlZcWKeOzOWzLO2ec7x8YW2+2cUEXA0kUL4+G/jlzrWMeu3eOAo7+XcEXQODSFz6qQj3bY56DY9cDDs94o5wvfOvHUaN4iczPu0aNeTqQWyBXvadC07Hbwd6KkNPM9qJ+O+SChaiBZDzzwQMbx5s2bxyGH5KYJ4vz58+OKK65Y61ivXr3ijDPOSLgiGkKTaZYTETF16tT49a9/Hb17944RI0bo3ASNTHV1ddxzzz0Z55xzzjlRmOFL5HXRrFmzOPvsszPOufvuu6O6urpB9gOgZtXV1fH445kvzDvxxBMb9D3ghBNOyDjn8ccf9x5AkyNrkAxZg+yTM0iGrEEyZA2SIWuQDFmDZLQtaxFb7d4145xJYxZlbHRTm+rqdLz3YuYHlu12eO8oKEzVe481FRYWxC6H1tz8KiLi3Rdnr9cxwYZsxfJl8f7r/804Z6sdd42S0jYJVQTJGf3GKxnHt9x+l2hX1rFB92zXsVPGRiPpdDreeP7pBt0T6uqFx+6PRfNrbqzYtVffOOiY7ydYEXDfLddG+bKlax078rSfRvMWLRKuCACS066sY2y7294Z53w69gPn+QFoNAqbNYsh2+6Qcc6s6VMSqgaSs3Tp0nj22Wczztl3332jbdu2CVX0/7F332FSlmf/uK/ZpSxLlw6CFLGAvYu918SGSYxGMMaaxJjk/UYTUzSmmBjfJLZXEgtojEZRY09ir1hQOoKA9N7bLnXn90d+EDC7z1B2ntldzvM4OI4w97X3fQ3xYpeZZz7P5m6++eZYunRppWs/+9nPoqQkOcCRmqlOheVE/PsNpHXr1sVTTz0Vp59+enTv3j1uueWWmDt3bqFbA3J49dVXY/bs2VWul5SUxEUXXVStZ/br1y8aJryBMGvWrHj99der9UwA/tt7770X8+dXfRFGw4YN44tf/GK1nnnOOedEgwYNqlyfN29evP/++9V6JhSaWYN0mDXIP3MG6TBrkA6zBukwa5AOswbp6XVo8of6V5Wtj8XzVm3z/hOHL45li9ZUuV6vQVEccHxyYM/WOuikDlGvftWXsy1buDomjVxcrWfCjuLDN16KtatXJ9YcftKZKXUD6Vk0b04snFv1NYkREYedeHpezs6174ev/yuyWSFwpGvt2jXxxrNPJNac1f/KqFe/fkodAaM+eCc+fuvVStcOPOqE6HXgoSl3BADp2+vgPonrq8pWxqJ5ycHeAFCTdNujd+L60kULUuoE0vPss8/GqlXJ70/37ds3pW4299prr8WLL75Y6drpp58eRx11VModUV3qXFhOJpOJTCYT2Ww2stlsTJkyJW644Ybo0qVLfOlLX4qXX3650C0CVXj22WcT188444xo2rRptZ7ZvHnzOPXUUxNrcvUFwPZ79dXK3+zd4Nhjj40mTZpU65lNmzbN+Q+Z1157rVrPhEIza5AOswb5Z84gHWYN0mHWIB1mDdJh1iA9PfZukbNm4ezybd5/7PtVB19FRPQ6pFWUlNbb5v0r06hxvdj9oJ0Sa8a+7+Jh2BZDXno+cb1Vuw6x+74HptQNpGfqhHGJ65lMJrrvuVdezu6+596RyWSqXF84d3bMnDwxL2dDVT587V+xbPHCKtc799gt9jn0yBQ7gh3bqrKyePTu2ypda9S4SZx3+TUpdwQAhbHrXvvlrFkwZ1b+GwGAatK0RfL7XWtyBIpAbfTEE8kh3Z06dYrDDjsspW7+Y8WKFXHjjTdWutasWbP40Y9+lG5DVKs6F5azwYbQnA3BOWvXro0nnngiTjnllNh1113j1ltvTbybGZC+XGFWZ5xxRl7OzbXvSy+9lJdzAfiPIUOGJK4fc8wxeTn32GOPTVx/991383IuFIpZg3SYNcg/cwbpMGuQDrMG6TBrkA6zBukpbVo/iutX/QH8iIhVK9dt8/6fDlucuL7nIa23ee8kvXLs++nHi/JyLtRlM6dMimk5AkMOO/H0xFAPqK3mzpiauN62U+cobdIsL2c3btos2nTcObHmk48/yMvZUJUhLyeHpx1z5nkpdQJERDw96P9iyYJ5la6d1e/KaN6yVcodAUBhNG7aLOrVq59YU75yRUrdAMD2a1TaOHG9QcOGKXUC6Rg/fnyMHj06sebcc88tyHtRt912W8yZM6fSte9973vRpk2blDuiOtXJsJxsNrvxV0RsFpqTzWbjs88+i+uvvz46d+4cF1xwgTuIQQ0we/bsGDt2bGLNiSeemJezTzrppMT1MWPGVPmNEIDtN2/evJg4MflOWX369MnL2bn2nTBhgoBF6gyzBukwa5B/5gzSYdYgHWYN0mHWIB1mDdLXuFmDxPW1q9dv077LFq6OudNWJtb03D/5jpjbarcc+86ZujKWLVqdl7Ohrhryr+cS1zNFRXHYCael1A2ka9H8uYnrHbp0y+v5HTp3TVz/ZJiwHNKzeP7cmPxJ1R9YadCwJA446vgUO4Id22efjIq3Xvh7pWvd9tgrjjztrHQbAoACa9yseeL62jVeEwSg9li+NPmmFI2btUinEUjJ4MGDE9eLiori3HPPTamb//j444/jkUceqXRt//33j6985Sspd0R1q5NhOZuqLDRnQ3DOmjVr4rHHHosTTzwxdtttt7jtttti4cKFBe4YdkwffJD8pm/nzp2jc+fOeTm7a9eu0bFjx8SaDz/8MC9nAxAxcuTIxPUOHTpEhw4d8nL2zjvvHG3btk2sGTVqVF7OhrSZNUiHWYP8M2eQDrMG6TBrkA6zBukwa5C+XGE49Rps26Vh0z5dlrjeok3DaNmmZJv2zmWn9o2iWavku2lOz9Ef8B/r1q6ND17/V2LNHvsdFDu1bZ9SR5CuFUuXJK43atwkr+c3atI0cX3qp59svMYZ8u3jt19L/O+t90GHRcOSRil2BDuudWvXxsN3/KbSmSwqLo4LvvX/CnKndQAopDWrVyWu16ufHBwOADXJkgXzEtdbt0/+PDPUJmvWrIlnnnkmsaZPnz45P8df3dasWRM/+clPKn39pV69enHTTTd5/aUOqPNhORtsCM35fHDOhscmTpwYP/jBD2LnnXeOCy+8MN54440Cdww7lmHDhiWuH3DAAXk9/8ADD0xcz9UfANvuk08+SVzv1atXXs/v3bt34vrYsWPzej6kxaxBOswa5J85g3SYNUiHWYN0mDVIh1mDdK0qWxerVq5LrGnUpP427T1z4vLE9U67Jn/wf3vtnGP/mZOS+wP+Y+T7b8XKZUsTa/qcfGZK3UD6cn3YsjRHmM32yrX/qvKymDdrel57gA3GDU++aWTvgw5PqRPgH489GHOmTal07YSzvxyduvZItyEAKLBVZWWxqmxlYk2+//0GANVp7EfvJ67v2nuflDqB/HvllVdiyZIliTV9+/ZNp5lN3HPPPTFx4sRK1/r37x+77757yh2RD3UyLGdDEE5VKgvN2RCcs3r16nj00Ufj+OOPjz333DP+8Ic/xKJFi9JqHXZYw4cPT1zfZ5/8/vC37777Jq4LywHIn1wXz+f7Hx577LFH4nqu/qC2MGuQDrMG+WfOIB1mDdJh1iAdZg3SYdYgXbM+Wx6V3ARvM607NNqmvWd+lhxG07Fbk23ad0t17J68/8xJK/J6PtQl7/7rucT1xs2axz6HHpVSN5C+9evWJ67Xb9Agr+c3aNgwZ830iePz2gNERKxfvy4+GzsqsWa3ffJ7U0vg32ZPmxwvPf6XStdatesQp1/w9ZQ7AoDCm/HZhI2f9axKmw6dUuoGALbP4vlzY1LC6zBFxcWx+34Hp9gR5NfgwYMT11u0aBEnnHBCSt3828SJE+NPf/pTpWudOnWKb33rW6n2Q/7UK3QD1eX888+PiRMnxhNPPBGrVq36r8Ccyv7BtOljm9ZveHz8+PHx/e9/P370ox9F37594/LLL48jjzwyz88Edkyffvpp4nrPnj3zen6PHskJ/BMmTMjr+QA7silTpiSu77LLLnk9v0uXLonrU6dOzev5kBazBukwa5B/5gzSYdYgHWYN0mHWIB1mDdI19oOFieslpcXRom3JNu29YGZZ4nrrjqXbtO+WapUj5CdXf8C/LV4wL8YNH5pYc8hxp0S9+vVT6gjSl+u/7/KVK/N6ftmK3AFvc2dMy2sPEBExfeKnsaq86p+hmu/UOlq165Bzn9WrymP21MmxdPHCWFW2MiKbjfoNS6K0SdPYqW372KlNO99XIEFFRUU8fPtvYt26tZWuf/mq70WDkm37dxwA1Gajh76buF5S2jhatmmXUjcAsH0G//n2qKioOsR7/z7HRotWrVPsCPJnzpw58e67yT/LnXXWWdEgz8H1m6qoqIgf//jHsXZt5a+//OxnP4tGjbbtpjPUPHUmLKdXr17x0EMPxR133BGDBg2KP//5zzF27NiIqDwI5/M2PF5ZyM6qVavi4Ycfjocffjj22GOPuOKKK+Liiy+OFi1a5PdJwQ4k14WTu+66a17Pz7X/5MmT83o+wI5s5syZieuFvnh+xowZeT0f0mLWIB1mDfLPnEE6zBqkw6xBOswapMOsQXoqKrIx4s25iTXdereIoqJMYk1VFs1dlbie77CcXPsvmlOe1/OhrnjvpRciW1GRWNPnpDNT6gYKo2GOwIGylbnDbLZH2YrlOWsWzJmV1x4gImLm5ImJ6zt3r/qGljOnTIqhr78Uoz98N2ZPm1zltfgREfXq1Y+de/SMnnvtF/v2OSa67tZrs+vyYUf35vNPxuRxoytdO+Co46P3QYen3BEAFF5FRUV8/NariTU9eu0TRUVFKXUEANvu1acfi+HvvlHlelFxcZx0/kUpdgT59cQTT0RFjvei+vbtm1I3//bwww/HsGHDKl077bTT4phjjkm1H/Krzv0roUWLFvGd73wnRo8eHW+99VZcdNFF0bBhw/8Kw6nqhfdsNrvx16b1Gx775JNP4rvf/W506tQp+vfvnzPtCshtzpw5UV6efCFTp06d8tpDrv3Lyspi3rx5ee0BYEc0f/78WLUq+WLbdu3ymwKfa//y8vJYuDD5zpxQ05k1SIdZg/wzZ5AOswbpMGuQDrMG6TBrkK4xQ+bHojnJM9f7sG27I+WyRatj7erkCxqbt264TXtvqVz7r1ldEcuXrMlrD1DbZbPZeO+VFxJrdtltz+jYtXtKHUFhNG2xU+L6iiWL83r+imVLctYsmCssh/ybPS35hpGVfT+YPG503H7Dd+JX3+oX/xr8l5g19bPEoJyIiHXr1saU8WPjpSf+Gr/7/hVx81UXxlsv/j3WVXEXZ9iRLJ4/N5598E+VrjVq3CT6XnZNyh0BQM0w8r23YuHc2Yk1ex96RErdAMC2Wb9uXTz38H3xxJ9vT6w75fyvReeE0GKoTbLZbDz11FOJNfvss0/stttuKXUUMXv27Pj9739f6VrTpk3jRz/6UWq9kI46F5azqSOOOCIefPDBmDVrVvz+97+PXr16VRqEU5WqarPZbJSXl8dDDz0URx11VOy9995x1113xdKlS/P/pKAOmjUr95u9+b5wsn379jlrtqRPALbOlgSRtW69bRfybqk2bdrkrBGYRm1n1iAdZg3yz5xBOswapMOsQTrMGqTDrEF6KtZn4x8PfZZYU1w/E/sevW3XWSxbuDpnTdMWDbZp7y3VrGXu/bekT9iRfTry41gwJ/lapz4nn5lSN1A4Ldu0TVyfNml8Xs+fPjH3/ksXLshrDxARMXv6lMT1Nu3/c8PJVeVl8Zc//jpu+39XxfgRH23XuXNnTItH7/pd/PJbF8cnH3+wXXtBbffo3bfFqvKySte+ePHl0Xyn/L5uAgA1UcX69fH8w/cl1tSrVz8OOPL4lDoCgK2zft26GPHeW/Gra/rHi488kFi75wGHxGlf6Z9OY5CC9957L6ZPn55Y07dv35S6+bebbropVq5cWenad7/73WjbNvk9A2qfOh2Ws0GLFi3iO9/5TowaNSreeuutuOiii6KkpOS/gnCqCs7ZEJqTzWY3q93w2JgxY+Kaa66JTp06xaWXXhrvv/9+mk8Par1cd+9r1qxZNGyY37uSNWrUKJo0aZJY4y6DANVvyZIlietNmjSJBg3ye7FtSUlJlJaWJtbk6hNqOrMG6TBrkH/mDNJh1iAdZg3SYdYgHWYN0jPkhZkxZ0rlF/htcPCJHaK0af1t2n/l8rWJ6yWlxVGvQX4vOavfsDgaNipOrFm5LLlP2NENeen5xPUGDUviwKNPTKkbKJwOnbsmrq9ctjTmzUy+mH9bzZ05LVYuX5azbktqYHstnp8cHNqqfYeIiJg3c3rc+v3LY8hLz2+8zr46zJs5Pe762ffjqfvvjvXr11XbvlBbDH3j5Rj94buVrnXdvVccedrZ6TYEADXE2/94OmZNTQ4GP/SEU6Nx02YpdQQAlatYvz7KViyPRfPmxGefjI43X3gqHr79lvjRxWfHn37xw5gzbUri1++5/yFxxY9/HcX16qXTMKTgiSeeSFxv1KhRnHHGGSl1E/H888/Ha6+9VunavvvuGxdccEFqvZCeHe5v1SOOOCKOOOKIuP3222PQoEFx7733xpgxYyIiNgvMqeoF/s8H7Gx4LJvNRllZWQwcODAGDhwYe++9d1x55ZVx4YUXRtOmTVN4ZlB7LVq0KHG9WbN0XtRo1qxZrFixosr1XH0CsPWWLl2auJ4ryKy6NGnSJMrKKr9rS4SL56n9zBqkw6xB/pkzSIdZg3SYNUiHWYN0mDVIx6K55fH8AxMTa4rrZeK483fZ5jPKlid/eLlhaTqXmzUsrRery9dXuV6eI9QHdmTlK1fE8CFvJNbsf+Rx0ai0cUodQeF03nWPnDWfDPsg2nbqXO1njxv24RbVrSpbGevXrfNBGfJq2eLkm0W2aNUm5s6YFn/80bdj6aL83Fgym83Gy0/+NebNmh5fv+6mqF8/v4GqUFOsXL4sBv/5j5WuFRUXx1e/9YMoKtoh7oENAJtZOG9OPD3wnsSa4nr14qS+F6XUEQA7snmzZsRNl3+l2vctKi6OU790cZz2lf5RVJx8owioTZYvXx4vvfRSYs2pp56a2rUiS5YsiV/+8peVrtWrVy9+/vOfe/2ljtph/19t0aJFfOc734lRo0bF22+/HRdddFGUlJT8VxjOhkCcz9sQkJPNZjer3fDYyJEj45vf/GZ07NgxLrvssvjwwy170wt2RIsXL05cTzMsJ4mwHIDqV5Munk+Sq0+o6cwapMOsQf6ZM0iHWYN0mDVIh1mDdJg1yL+Kimw8etvYWF1WdYBMRMRRZ3eO1h1Lt/mc8hXJITQlKYXllJQmXzBcJiwHqvThGy/F2tWrE2v6nHRmSt1AYbVo1Tradtw5sebtfzyTl7PffvHpLa4tW7E8Lz1ARMTaNaujfGXVN5KMiKioqIjbf3xt3oJyNjXyvbfi3l/9OCrWJ/9cC3XFE/feEcuXVH6t/PFnfTk6dds15Y4AoPAqKiriod//MlaVVx1+HxFx3Be/FG06dEqpKwCoPplMJvY+9Mj4we/vjTMuvFRQDnXOs88+G6tWrUqs6du3b0rdRNxyyy2xcGHlr23269cv9tgjd7A+tZPbEEREnz59ok+fPnH77bfHoEGD4t57740xY8ZERGwWmLMhSOfzPh+ws+GxbDYbK1eujPvvvz/uv//+2HfffePKK6+Mr371q6ldCAa1Qa5viKWl234R19Zo3Dj5bkm5+gRg663OcYFeSUlJKn00atQocT1Xn1DTmTVIh1mD/DNnkA6zBukwa5AOswbpMGuQf/986LOYNHJJYk2LNg3jpK92265z1q2pSFxv0DCde7M1KEm+aHjt2uQ+YUc25F/PJa637bhz7LrXvil1A4W31yFHxKt//1uV67OmTIoJo4ZFz733r7YzPx35ccya+tkW169d4+dU8qcsR1BORMSjd98WSxbMq3K9pFFp7HngobHPoUdGh126R7OWO0XjJs1i5YplsWzxopg99bMY+f7b8clH7+f8wHNExOgP340n778r+l52zVY9F6htxg3/MN5/5cVK13Zq2z7O+OrXU+4IAGqG5x++LyaMGpZY07JN2zjtK/3TaQgAqkm7nbvEvocdHQcfd3J03KV7oduBvBk8eHDieteuXeOggw5KpZd33303nnrqqUrXOnXqFN/+9rdT6YPCSOfqhVqiRYsW8Z3vfCdGjRoVb7/9dlx00UVRUlLyX2E4GwJxPm9DQE42m92sdsNjw4cPj6uuuio6duwYV155ZXz88cdpPj2osdasWZO4Xq9eOrleuc7J1ScAW2/t2uQ7PtaU7wG5+oSazqxBOswa5J85g3SYNUiHWYN0mDVIh1mD/PrkgwXxyt+mJNZkMhFf+u6eUVK6ffO2bl3lNxPboKi48uumqluuc9avTe4TdlQzJ0+MaRPHJ9YcfvKZKXUDNcMhx52Ss+bR/7st1q6tnusD165dE3/7v//dqq9Zt25dtZwNlVm7BaGhk8aMqPTxouLiOPYLfePmB56Ib1x/cxxy3CnRuXvPaN6yVdSrXz+at2wVnbv3jEOOOyW+cf3NcfMDT8QxX+i7RXdLf+3px2LMR+9t9fOB2mLNqlXxyJ23Vrn+5au+Fw1SChcGgJpk9IdD4p+PP5RYk8lk4sJrfhglKd18HQCqQ1FxcbRu3ylatG4TDUuSb/ICtdm4ceNizJgxiTXnnXdeKr2Ul5fHT3/60yrXf/rTn+a86RK1m7CcKvTp0ycefPDBmDVrVvzhD3+IXr16bQy9iYjE0JyIqLI2m83GihUr4s9//nMcfPDBcfDBB8d9990XZWW5U/ShrhKWA7DjynVRevEWXDhRHXKd4+J5ajuzBukwa5B/5gzSYdYgHWYN0mHWIB1mDfJnztQV8ZdbRke2IrnuiC/sHLsf0Gq7z1u/Nvmg1MJyinKE5azL8QcCO6h3//Vc4npRcXEcevypKXUDNUPnHrtF1917JdbMmTYlnhk0oFrOe2bQgJgzfcpWfc36dX5OJX/WbWMQVONmzeP7v/2/OP+Ka6O0SdMt+prSJk3jS1dcG9/77d3RuGmznPWP3PnbWLsmd5gP1EbPPXxvLJgzq9K1/Y84NvY6uE/KHQFA4c2eNjkeuPXGyFYkv7Z39JnnxZ77H5xSVwBQPSrWr48xQ4fEY/f8Pn522ZfjT7/8UUweN7rQbUG1Gzx4cOJ6vXr14uyzz06ll9tvvz2mT59e6dopp5wSxx57bCp9UDjCcnJo3rx5XHPNNTFq1Kh4++2342tf+1qUlJT8VxBOVcE5G0JzstnsZrUbHvvoo4/i8ssvjw4dOsTVV18dw4cPT/HZQc1QkeNFjppy4eT69etT6QNgR+J7AKTDrEE6zBrknzmDdJg1SIdZg3SYNUiHWYP8WLFkTdx/48hYVZb8327n3ZrFFy7rWS1nbrgmqiq5QmyqS65QnoqK5D5hR7Ru7dr48I2XEmt6H3R4NN+pdUodQc1x+le/nrPm1b//LV58ZOB2nfPiIwPj1b//bau/LtfP07A91q9bt9Vf07RFy7j2V3fkDJqqSrfde8d3fn1HNG3RMrFu8fx58cZzT2zTGVCTTZs4Ll57+vFK10pKG0ffy69NtyEAqAGWL10c9/z8ulhVtjKxbpeee8a5X/9mSl0BQH5kKypixJA343f/c2U8cOuNUbZiWaFbgmqxZs2aePbZZxNrjj766Gjbtm3eexk9enQMGjSo0rUmTZrEDTfckPceKLx6hW6gNunTp0/06dMnbr/99hg0aFDce++9MXr0v1PdNg3Mqeqikc8H7Gx4LJvNxvLly2PAgAExYMCAOOigg+LKK6+Mr3zlK9GoUaMUnhkUVr16yX8VrduGN+q2Ra5z6tevn0ofADsS3wMgHWYN0mHWIP/MGaTDrEE6zBqkw6xBOswaVL/Vq9bHfTeOiIWzyxPrSpvVj4tv2Cvq1a+ee6YVFSfvs359OiE1FTnOKc7RJ+yIRrz3ZqxctjSxps/JZ6bUDdQsvQ88LPbc/5D4ZNgHiXXPPXxvLFuyMM7qd1WUlJZu8f6rysri7wPvjrde+Ps29VfPz6nkUaZo639u+tp3b4iOXbtv17mduvaIr333hrj7Z/+TWPfq3x+L4876UhQX+1gDdcP69evi4dt/ExUVlYeefvHiy6NFK+GFAOxYVq8qj3t+fl0smDMrsa5xs+Zx6Q9v9m8kAFLXtEXL+Oq3r6tyfe2a1VG+YkWUrVweixfMi6mffhKL5s3Zor2HvvFyTBw9Ii69/ubovude1dUyFMTLL78cS5YsSazp27dv3vtYt25d/PjHP67yhknf+973ol27dnnvg8LzqvI2aN68eVxzzTVxzTXXxLvvvhsDBgyIwYMHR3l5+WZBOBGVB+ds+lhltR9++GEMHTo0vve978VFF10Ul19+eey99955fEZQWA0aNEhcT+vCybVr1yau5+oTgK2X66L0tO7w6uJ56jqzBukwa5B/5gzSYdYgHWYN0mHWIB1mDarXurUVMejmkTFtXPJdJus3LIqv37hP7NSu+m7GVVwvk7heUZFOWM76dTnCcuon9wk7oiEvPZ+43qxlq+h90GEpdQM1z4XXXBe//Fa/KF+5IrHuzeefiuHvvhlnXPj1OODI46K0SbMqa8tWLIuP334tnn/4/li2eGGlNUXFxVGR4+fh+vVdm0j+1Ku3df8OOuLUL0bvA6vn+0XvAw+LPid/Id79V9V3m166aEGMev+d2K/PMdVyJhTaK08+EjM+m1Dp2i677RlHnX5Oyh0BQGGtW7s2/vyrG2LK+LGJdfUbNowrf3JLtGrbPqXOAOA/GpU2jiNO+cJWfc3ypYtjxJA34+0Xn47pkz5NrF2ycH7c9dPvxdU3/S569Npne1qFgnriiScS19u0aRPHHJP/1/nuv//++OSTTypd22effeKCCy7Iew/UDG6xs5369OkTgwYNilmzZsUf/vCH6N27d2Sz2Y3BN58Pz/m8qmqz2WwsXbo07r777thvv/2iT58+8eCDD8aqVavy/6QgZbkuSFyzZk0qfQjLAUhfrjvN5vq7ubq4eJ66zqxBOswa5J85g3SYNUiHWYN0mDVIh1mD6lNRkY2/3jomxn+0KLGuuF4m+t2wd3Tr1aJaz88VlrN+bUphOesrEteL67nsDTa1eP7cGDd8aGLNoSecGsXF7q/Ijqtlm3bR7/s/iUxR7u8hyxYvjEfuvDWuu/AL8YcffjseG/CH+MdjD8abLzwV/3jswXhswB/iDz/8dlx34RfikTtvrTIoJyLilC9dnPO8+g0abtVzga1RvBX/DiquVy/OuPDSaj3/zIsujaLi4sSaYe+8Xq1nQqHMmzUjXnh0YKVrRcXFccG3fhBFW/B9CADqioqKihj0vzfHJx9/kFhXXK9efOP6X0T3PfdOqTMA2H5Nm7eMI089K67/4/3xnV/dHq07dEqsX1VeFnf97Psxe9rklDqE6jV79ux49913E2vOPvvsnNePbK+pU6fGXXfdVelavXr14uc//7nXX3Yg3vmsJs2bN49rrrkmrrnmmhgyZEjcc889MXjw4CgvL/+vwJwN4Tib2vSxymrff//9eP/99+Paa6+Niy++OC677LLo3bt3Hp8RpKdJkyaJ68uXL0+lj2XLku/IlqvPbTFv3ryYP39+te8LUFuUlpYmrq9cuTKVPlasSL5rWK4+oaYza5AOswb5Z84gHWYN0mHWIB1mDdJh1qB6ZLPZePyP42LEm/MS6zJFERf8T6/Y85DW1d5Dw5Lky8lWlyeHUlWX1WXrE9cbNkr+wDXsaIa8/EJkK5JDpg4/6YyUuoGaa+9DjogvX/W9+Nvdt1V6Le/nVaxfHxNGDYsJo4Zt03mHn3RGHHT0CfHiIw9UWZPJZKK0SdNt2h+2RMOGJVtcu89hR0Xzlq2q9fzmO7WOfQ87KjEQ55OP34+KigofYqHWe+TO38ba1asrXTvui+dH5+49U+4IAAonm83GI3f+Nj5+69XEukxRUVz83R/HXgcfnlJnAFD9dtvngLjhjkHx2IDfx5CXnq+ybnV5eQy67eb4f7f9KYrzHCgC1e2JJ56IihzvRZ133nl57+MnP/lJrFq1qtK1iy++OPbcc8+890DN4RXlPDj88MNj0KBBMWvWrPjjH/8YvXv3jmw2u/GNtU3DcCrz+dpMJrPxsSVLlsQdd9wR++yzTxx99NHx6KOPxvr1yReHQE230047Ja6nFZaT65xcfW6Lu+++O/baa69t+gVQF7Ro0SJxPa2L53Od07x581T6gHwxa5AOswb5Z84gHWYN0mHWIB1mDdJh1qB6PPOnCfHBP2flrOv77T1i/2Pb56WH0qa5wnLSuU5pdVlyKE9p0/qp9AG1QTabjfdefiGxpkfvfaNdpy4pdQQ121GnnR1f++4Nef8wysHHnhxf/fZ1sWLp0sS6xk2b+2AMeVXapGnOa9c3OOyE0/PSw2EnJge2rVy+LObNnJaXsyEt7/7rufh05MeVru3Utn2cceGlKXcEAIX1xL13xLv/ei5n3QVX/08cdMyJKXQEAPnVoKQkLrzm+pzB9dMnfRr/GvyXlLqC6pHNZuOpp55KrDnooIOiW7duee3j8ccfj/fff7/StU6dOsW3v/3tvJ5PzSMsJ4+aN28e3/72t2PkyJHx9ttvx8UXXxwlJf9O59+SNx02BORks9mNoTmbBue88847ceGFF0bXrl3jt7/9bWqBIlDdWrVKvgvFkiVLUuljaY43pXP1CcDWy3Xx/LJly1LpI9fPUbn6hJrOrEE6zBrknzmDdJg1SIdZg3SYNUiHWYPt9+LASfHmU9Nz1n3xsp5x2Gmd8tZHabPkEJryFckhNtWlXFgObLHxIz6KhXNnJ9b0OfnMlLqB2uHQ40+N7/3m7mjVrkO1750pKoozLrw0+n3/J1FUVBSL5s9JrG+2k+sSya+i4uIoKW2csy6TyUT3PfNzI8fue/bOee38tInj83I2pGHZ4kXx1P13Vbn+pSu/Gw1LGqXYEQAU1rMP/Slee/qxnHXnXvqtOOLUL6bQEQCkI5PJxFe/fV303Hv/xLrXnxkca1avTqkr2H7vvfdezJgxI7Gmb9++ee1hwYIFceutt1a5/pOf/CRKS0vz2gM1j7CclPTp0yfuvvvuuPHGG6O4uDgitiwwZ4MNATkbvm7T0JyZM2fGD3/4w9hll13i5ptvTu2ObFBdWrdunbi+evXqvAfmLFy4MNasWZNYIywHoPq1bNkycX3NmjV5v4B+8eLFsXbt2sSaXH1CTWfWIB1mDfLPnEE6zBqkw6xBOswapMOswfZ59bEp8fKjU3LWnfK1bnHMeV3y2kvjHGE569ZWRPmK5FnbXiuXrY31a7OJNbn6hB3JkJeeT1wvaVQaBxxxXErdQO3Rdfde8eO7HopTv9wvGjQsqZY9O3XtEdf+6o44/YJLNl4jnCvMaqc27arlbEjSpFmLnDVtO3WJ0iZN83J+aZNm0abjzok182fPzMvZkIbH7vnfKFtReYDvfn2Ojb0POSLljgCgcP41+C/xj789mLPujAsvjRPO+UoKHQFAuoqKiuJLV3w3ioqKq6xZsWxJvP/qiyl2Bdtn8ODBieuNGzeOU089Na89/PznP4+lS5dWunbKKafEccd5L2xHVK/QDewIhg8fHgMGDIhHHnlk413MNgTfbK1Nv27TsJ1sNhtLliyJG2+8Me666674xS9+Ed/4xje2r3FISZcuuS/kmjt3bl7v8jd37tycNVvS59a6+uqr4/zzz9+mr91rr/zcwQMgTR065L5D14IFC6JZs2Z562HhwoU5a7akT6jJzBqkw6xB/pkzSIdZg3SYNUiHWYN0mDXYdm/9fXo8f/+knHXH9u0SJ1/YPe/9tGybOyxg+eI10ahJ/sJqli/OfSfNFlvQJ+wIylYsjxFD3kisOfDoE6JBiZmByjQoKYkvfO2yOP7sL8dbL/49Pnj1nzF3xtSt3meXnnvGcWedHwcedUIUFW/+IZhcASAddum21efB1mrZpl3Mn5185+cOXbrmtYcOnbvGvJnTq1xfsmBeXs+HfBn5/tsx7J3XK10rKW0c519xbar9AEAhvfbM4/H0wHty1p147lfj9AsuSaEjACiMjl27xwFHHR9D33ipyppR778TR512dnpNwTZatmxZvPRS1f8tR0ScccYZ0ahRo7z18Morr8Q///nPSteaNGkSN9xwQ97OpmYTlpMnZWVl8cgjj8SAAQPio48+ioitD8jZEIZT1ddteDyTyWxWO2/evLjiiiti4MCBMWjQoOjRo8e2Pg1IRZMmTaJ169axYMGCKmumTp0au+++e956mDo1+Q3utm3bRuPGjav93LZt20bbtm2rfV+A2qJx48bRsmXLWLx4cZU1s2bNiu7d83fh78yZyRcltWrVKkpLS/N2PqTBrEE6zBrknzmDdJg1SIdZg3SYNUiHWYNt896LM+PpAZ/mrDviCzvHF77RM4WOIho2qheNm9ePlUvXVlmzeN6qaNu5+q+h2HT/JE1a1I+GJVXfjRN2JEPfeCnWrlmTWHP4yWem1A3UXo2bNotTv3RxnPqli2PO9CkxYdTwmDrhk5g3c3osmj83ylcsjzVrVkdRpigalpZG851aR4cuXaPr7r1jr4P7RNuOO1e598zJExPP7tBFWA7517p9h/h0ZHJNo8ZN8tpDoyZNE9dXLl+W1/MhX564944q177wtcuiRavWKXYDAIXzzj+eiSf+fHvOuqPPODfO+frVKXQEAIW17+FHJYblTBo7MioqKqKoqCjFrmDrPfvss7F6dfLNTvr27ZvXHm655ZYq16699tpo165dXs+n5hKWU82GDx8eAwYMiEceeSSWL1++WdDNhkCbiOTgnE3rtuTrqgrNeffdd2P//fePBx54IM4777xte0KQkm7duiWG5UyYMCFOPvnkvJ0/YcKExPVu3bwhDZAvO++8c+LF81OnTo0jjzwyb+fnCkzbeeeqL2iC2sSsQTrMGuSfOYN0mDVIh1mDdJg1SIdZg60z9OXZMfiOcZHr3luHnNwhzrl6t3Sa+v/t1K5RYljO/JllsfuBrfJ2/oKZ5YnrO7XP310JobZ591/PJa536NItuu3eO6VuoG5o37lrtO/cNY6Ks7d7r/Xr1sWc6Tl+Tu2263afA7m0at8xZ02+w3JKGyeH5axZnRyYCDXVymVLK328pLRx1KtfP97557PVdtb0Sclhq/Nnzch5Xs+99ou2nTpXW08AEBHx/qv/iEfu/l3i5yUjIg4/6Yz40pXfTakrACisXgccFpmioshWVFS6vqpsZcybOS3ad+6abmOwlZ544onE9Z49e8a+++6b1x6quhalSZMm0aBBg3j88cer7awxY8Ykrk+ZMiXneQcffHB07dq12nqiasJyqkFZWVk88sgjMWDAgPjoo48iIrY7JCebzUZRUVG0bNkyFi5cuHF90zCcz6ssNGfFihXx5S9/Oe6+++64/PLLt/UpQt717t07PvzwwyrXx48fn9fzP/00+c2D3r1dNAKQLz179oxRo0ZVuT558uS8nj9lypTE9V13dVESdYNZg3SYNcg/cwbpMGuQDrMG6TBrkA6zBltuxJtz42//+0lkK782dqP9j20X51+753/deCvf2u/SOKZ/uqzK9fkzyvJ6/vyZyfu379I4r+dDbTHjswk5PzDd5+QzU+oGqMyUT8fGurVrqlxv3LRZdOzaI8WO2FF13KV7zpoGDRvmtYf6DRskrlesX5/X8yFtq8pWxiN33prqmZ99Mio++6Tq12YiIi669kfCcgCoVh+//Wr85Q+/rjIIYIODjjkxvvrt61J/rRMACqWktDSaNGsey5dUfcOZ5UsWC8uhRhs3blzO8Ji+ffum1M1/W7FiRfz0pz9N9cxhw4bFsGHDEmt+/etfC8tJSVGhG6jNhg8fHldffXV07NgxLr/88hg6dGhks9nIZrMbA2symczGxyoLuKmsrk2bNnH99dfHpEmTYs6cOfHkk0/GGWecEUVFRZUG4nzepmdlMpmoqKiIq6++Ol5//fW8/VnA9tp///0T13N949heH3/8ceJ6rv4A2HZ77rln4vrYsWPzen6u/Xv16pXX8yEtZg3SYdYg/8wZpMOsQTrMGqTDrEE6zBpsmdFD5sfDvx0TFRXJd1neu0+buOD/9YqiovQ/PNKpR9PE9ZmTluf1/BkTk/fvtGtyf7CjePel5xPX69WrH4ccd0pK3QCVmTB6eOL6rr339UFRUtGlx+45a8pXrsxrD7n2r98gv2E9AABUv5Hvvx0Df/fzqKhIDj7c9/Cj4+Lv/TiKinyUFYAdS9MWOyWur1xe9c0roCYYPHhw4nr9+vXji1/8YkrdwH+rV+gGapuysrJ45JFHYsCAAfHRRx9FRGwWgrPpm1aVheMk1R155JFx1VVXRd++faN+/fob188+++w4++yzY9asWXHffffF/fffH1OnTt1sn8rO2jS0p6KiIr7xjW/EyJEjo7S0dFueOuTVAQcckLg+fPjwWL9+fRQXF1f72evWrYsRI0Yk1gjLAcifXBenf/LJJ3n9HjBu3LjEmlwX90NtYdYgHWYN8s+cQTrMGqTDrEE6zBqkw6xBbuOGLoyHfjU61q9LDsrZ4+BWcdEP94ri4sJ8eCRXGM2sz1ZExfpsFBVX/4f716+viNmf5QjLyRHmAzuCtWvXxNA3Xkqs2fvQI6JJ8xbpNARUavT77ySu73HAISl1wo6uRes20bTFTrF8yaIqa8pWrshrD2Urkn/Ga9ioUV7PBwCgeo396P2475afxvp16xLreh14WHz9BzdFcbGPsQKw4ynJ8Xn+NatXp9QJbL01a9bEs88+m1hz/PHHx047JYdCQT6J49xCw4cPj6uvvjo6duwYl19+eQwdOjSy2exmgTSZTGbjY5WF11RW16RJk7jqqqti5MiR8eabb8YFF1ywWVDOpjp27Bg/+clP4rPPPounn346jj/++P/q4fM27WPy5Mnxxz/+sfr+UKAaHXTQQVFSUlLl+ooVKzYGVFW3Dz74IMrKyqpcLykpiQMPPDAvZwMQsffee0fDhlXfGaisrCzGjBmTl7NHjhwZ5eXlVa43bNgw9tprr7ycDWkza5AOswb5Z84gHWYN0mHWIB1mDdJh1iDZxBGLY+DNI2Pd2orEul33axn9f7J31KtfuMu6Ou/WNOo1qPr81eXrY8bE/Nzpctr4ZbFmddV/RvUaFMXOPYXlwMghb8XKZUsTaw4/+cyUugEqs2TB/Jjy6dgq14uKimP/Psem1xA7vB699klcX7FkcV7PX7E0ef8Wrdrk9XwAAKrPpyM/jj/96kexbu2axLrd9jkwLr/hl1Gvis9KAkBdt2bVqsT1hgmfqYZCe/nll2PJkiWJNX379k2nGaiCsJwEZWVlcd9998Whhx4aBx54YAwYMCCWLVu2MYBm04CaqgJyqqrbe++94+67745Zs2bFXXfdtVUXZWUymfjCF74QL7/8cnzwwQdxyimnbNZTVV+TzWZjwIABVfYJhVRSUhJHHnlkYs1LLyXfDWlbvfzyy4nrRx11VGKQDwDbp2HDhjlDyd55J/lOW9vq3XffTVw/6KCDEi/sh9rErEE6zBrknzmDdJg1SIdZg3SYNUiHWYOqTRm7NO6/cUSsTQiBiYjo1rt5fP3GfaN+g+KUOqtc/QbF0a13i8SaTz9elJezJwxL3rf7Xi0K/ucDNcGQl55PXG/Rum3suf8hKXUDVGbIy88nXq+7274HRNMWLVPsiB1drwOSvy9Mmzgub2dns9mYPunTxJqd2rbP2/kAAFSfzz4ZHffcfF2sXb06sa5Hr33iyp/eEvUbeG0egB3X4gXzEtdLm7hBBDXXE088kbjevn37nLkAkG/CcioxYsSIuPrqq6Njx45x+eWXx9ChQzeG3GwIvtkQPlNVSM6mdRH/fpG/fv368dWvfjXeeuutGDFiRFx55ZXRuHHj7er1oIMOihdffDGee+656NSp08YeN7Vpf9OnT49XX311u86EfDnppJMS15988sm8nDt48ODE9ZNPPjkv5wLwH3369Elcz1dg2j//+c/E9SOOOCIv50KhmDVIh1mD/DNnkA6zBukwa5AOswbpMGvw32ZMWBZ//snwWF2+PrGuy+7N4hs/3y8altSMIJjdDtgpcX3UO/Pzcu7It5L3zdUX7AgWz58b40YMTaw5/MTTo6jI5aFQKOvXr4u3//FMYk2fk89MqRv4tz1zhOWsXL4s5s6clpez582cHiuXL0us6dRt17ycDQBA9Zk2cXzcfeP/xOry8sS6XXbbM6668dZoWNIopc4AoOZZsmB+rFy2NLGmdfuOKXUDW2f27Nk5b1p07rnnei+KgqtX6AZqirKysnjkkUfiT3/6Uwwd+u83kjcNmdk0gCbpTg+V1XXt2jWuuOKKuPTSS6N169bV3XpERJx++unx8ccfx5lnnhkffPDBxjCfyrz99ttxwgkn5KUP2B59+/aN6667rsr1jz/+OMaPHx+77757tZ05ZsyYGDVqVGLNeeedV23nAVC5U089NX73u99VuT5mzJj47LPPonv37tV25oQJE+LTT5PvWCQwjbrGrEE6zBrknzmDdJg1SIdZg3SYNUiHWYPNzZ6yIgbcMDxWrVyXWNexe5O47Bf7RUnjmnMp175Hto3n75tY5fqMictj3vSV0bbz9t0obFNzpqyI2VNWJNbsc2TbajsPaqshL78Q2YqKKtczmUwcduLpKXYEfN67/3wuliTcNXqntu1j/z7HptcQxL//u+u2e++YPH5MlTWffPxhtOvUpdrP/mTYB4nrRUXF0WXX6rs2GNL0u7/9I7Wznn/4vnjhkQeqXD/0hNPi4u/ekFo/AOxYZk35LO786feifGXy63eduu0a3/r5bdGotPpeNwSA2ijX6yEljUqjRWvve1EzPfHEE1GR472oc889N7V+NmR/pOGOO+6IO++8s8r1c845J2655ZbU+iHZDh/XNGLEiLj66qujY8eOcfnll8fQoUMjm81GNpuNTCaz8deGx6oKoNlQFxEbv/aMM86I5557LiZNmhTXXXdd3oJyNmjdunU8/fTTG8/ZNLhnU++//35e+4Bt1b179zj88MMTa+64445qPfP2229PXD/iiCOiW7du1XomAP+tc+fOsf/++yfW/OUvf6nWMx966KHE9QMOOCA6d+5crWdCoZk1SIdZg/wzZ5AOswbpMGuQDrMG6TBr8B/zZ5TFgB8Oi7JlaxPr2nVpHFf8av8obVo/pc62TKsOjWKXPZsn1rz9zIxqPfOtp6cnrnft1TxatXc3anZs2Ww23nv5hcSa3fY5wN1ooYDKV66IFx+tOsggIuL4s74URcXFKXUE/3HICacmrr/94t/zcu5bOfbt0WvvaFji5zwAgJpq7sxpcfuPr42Vy5Ym1rXv0jW+/YvfR2mTZil1BgA113uvvJi43r3XPlXmAEAhZbPZePLJJxNrDjvsMNdhUCPskGE5ZWVlcd9998Whhx4aBxxwQAwYMCCWLVv2XyE5EbFFATmbhum0adMmrr/++pg0aVI8++yzcfrpp6f6zapdu3bxwx/+sNKeN/T52WefpdYPbK1LLrkkcf2BBx6I2bNnV8tZM2bMiAcffDCxpn///tVyFgC55UoTffLJJ2PevKrvurU15syZE3//+9+3qx+orcwapMOsQf6ZM0iHWYN0mDVIh1mDdJg1iFg0pzz+7/qPY/niNYl1rTs1iit/vX80adEgpc62ziEnd0hc//Bfs2LZwtXVctaS+ati6CtzEmsOPim5H9gRjB/xUSycm3ztVJ+Tz0ypG6Ayg/98eyxdtLDK9VbtOsSRp5+dXkOwiYOOPiEaJITSzJ42OcaP+Khazxw3fGjMmTYlsWafw4+u1jMBAKg+C+fOjttvuDaWL1mUWNe2485xzS/+EE2bt0ypMwCouT4d+XFMHD08sabXAYek0wxspffeey9mzpyZWNO3b9+UuoFkO1RYzogRI+Lqq6+Ojh07xuWXXx5Dhw79r4CcTYNvcoXkRPwnTOfII4+Mhx9+OKZPnx6/+tWvYpdddknzqW2mf//+UVRUtLHXz1u8eHHaLcEW+9rXvhZt27atcr2srCyuv/76ajnruuuui1WrVlW53q5du/ja175WLWcBkNtZZ50VrVq1qnK9vLw8brvttmo569Zbb43Vq6u+cLd169Zx1llnVctZUNOYNUiHWYP8M2eQDrMG6TBrkA6zBukwa+zoli5cHff8cFgsXZAcIrNTu5K48pYDolmrhil1tvUOPKF9NGlRv8r1Nasr4vkHJlbLWc/dPzHWramocr1pywZx0AnCcmDIS88lrpc2aRr7ChyAgnnnn8/Gey+/kFhzzte/GfXr18ygPOq+0ibN4shTvphY87f/+99Yu6Z6AhHXrlkdj93zv4k19Rs0iEOOO6VazgMAoHotWbggbr/hO7FkQXIAfqt2HeKaX/4xmu/UOqXOAKDmWlVWFg/f8ZvEmqLi4jjomJNS6gi2zuDBgxPXmzdvHied5L9faoY6H5ZTXl4e999/fxx66KFxwAEHxIABA2LZsmX/FZITEVsUkLNpmE6TJk3iqquuipEjR8abb74ZF1xwQdSvX/UFImlp2bJl7LHHHlWuL126NMVuYOuUlJTEd77zncSaBx98MJ566qntOufxxx+Pv/71r4k11157bTRsWHMvSgOoaxo2bBgXX3xxYs3f//73eOmll7brnBdffDGeey75AsJ+/fpFgwYuTKJuMmuQDrMG+WfOIB1mDdJh1iAdZg3SYdbYka1YsiYG/PDjWDi7PLGueeuGceVvDoiWbUpS6mzb1G9QHEed3SWxZujLc2LUO8kflsllxJtzY9hrcxNrjjq7c9RrUOcvdYNEZSuWx4ghbybWHHzsyVG/geudoBCGvfN6PHr37xJr9jq4T+x/xLHpNARVOOHcC6JeQmDT3BlT4+mB91TLWU8PvCfmzpiWWHPIcadEk2bNq+U8AACqz/Kli+OOH18bC+bMSqxr0bptXPPLP0bLNu1S6gwAttynIz+O8pUrUjtvzapV8adf/jAWzJ6ZWHfg0SdG0xYtU+oKttyyZctyXsvxhS98wWfvqTHq7BUEI0aMiG9+85vRoUOHuOyyy2Lo0KH/FZCzafBNrpCciP+E6ey9995x9913x6xZs+Kuu+6KvfbaK82ntkW6d+++2XPa9H+vXbu2EC3BFrv22mujS5fki6369esXH3zwwTbt/95778XXv/71xJouXbrkDO0BoPr169cvOnbsmFhz3XXXxciRI7dp/+HDh8ePfvSjxJqOHTvmvIgfajuzBukwa5B/5gzSYdYgHWYN0mHWIB1mjR1R+Yq1MeCGYTF3WlliXdOWDeKqWw6IVu0bpdTZ9jn67M7Rsm1yqM8jt42NaeO37eZdUz9ZGn/7/SeJNS3blsTRZ3fepv2hLvnw9X/F2jVrEmsOP+mMlLqB2mn4u2/EmlWrqnXPbDYbrzz1aNz3m59Gxfr1VdY1bbFTXHTtD6v1bNgWLVq1jpP6XphY89ozj8fzf71/u855/uH74rVnHk+sadCwJE6/IPl6XgAA0le2Ynnc+ZPvxZzpUxLrmrVsFdf88g/Run3y+wEAUCjvvfJi/PTS8+PFRwfGqrLk9/C219yZ0+IPP/p2jB/xUWJdcb16ccZXvR5CzfTss8/G6tWrE2vOO++8lLqB3OpUWE55eXncf//9ceihh8YBBxwQ99xzTyxbtuy/QnIiYosCcjatrV+/fnz1q1+Nt956K0aMGBFXXnllNG7cOLXntrVatGhR6BZgm5WWlsZtt92WWLN8+fI4+eST49lnn92qvZ9++uk45ZRTYsWK5DTI//3f/41GjWrHhWkAdUmjRo3iuuuuS6xZuXJlfP3rX49XX311q/Z++eWX49JLL42yHC9uXH/99VFSUrPv4gnby6xBOswa5J85g3SYNUiHWYN0mDVIh1ljR7O6fF38+ScjYtak5GsRGjevH1f+ev9os3NpSp1tvwYlxfGFy3ZNrFldtj4G/Gh4jHlv/lbtPXrI/PjTDcNidXnVwQIREV+8vGfUb1i8VXtDXTTkpecT1zv32C0699gtpW6gdnrmwQFxQ/9z4u8P3B0L5sza7v1mTfks7vzJd+PJ++6MbEVFlXVFxcXR/39+Ek2bu1s0NcMp518UrTt0Sqx54a/3x6N3/26rP0hWXrYyHrnrd/HCIw/krD31y/2iRes2W7U/AAD5taq8LO6+8f/FjM8mJNY1adYivv2L30e7Tsk3SweAQitbsTye+8u98dNL+8bjA/4Qk8aOrDJfYFusKi+LZx/6c/zqm/1i6qfJN4iIiDjtK/2jTY7XZaBQnnjiicT13r17R69evVLqBnKrV+gGqsvf/va3uOKKK2L58uURERu/UW0IvNn0sapUVtu1a9e44oor4tJLL43WrVtXd9t5U1zsApEdzZtvvhmffvrpVn3N+PHjE9dXrFgR995771b3cswxx0TPnj23+us21bdv3/jqV78af/3rX6usWbp0aZx11llxwQUXxE9+8pPYY489qqwdO3Zs/PznP4+//e1vOc++8MILJdtRqaHjPospcxZs1ddMmZ18MWDZqtUx+PUPtrqXg/foHru0rz3fl2BrnHrqqXHmmWfGc889V2XN8uXL4+qrr44zzjgjrr766ujRo0eVtRMnToy77rorXnjhhZxnf+ELX4hTTjllm/qG2sasQTrMGuSfOYN0mDVIh1mDdJg1SIdZY0fyl1vGxNRPluas2+/odjHlk6UxZQtqq0OznRpGr0O3/33lfY9qF/sfNz+GvTa3yppVK9fFAzeNjP2ObRcnfbVbtOtc9U3I5kxdES/9dXIMf2NezrMPOK597HNk223qm7pvwujhMW/m9K36mrkzpyWur15VHu/8c+tu3hUR0XOv/aJtp85b/XVbasZnE2L6pORrw/qcfGbezmfHVtdmrWzF8njpib/GS0/8NXbu3jP2Pfzo2OvgPtGpa48orpf7suq1a1bHuOFDY8hLz8fI999ODMnZ4IJv/r/YY7+Dt6tvqE71GzSMS/7nZ/H7674Z69atrbLurRf+HiOGvBWnf/WSOPCo46O0SbMqa1cuXxYfv/1qPP/w/bF8yaKcPfTovW+c1PfCbeofADaoaz+rQk3wwG9vjMnjRuesO+Co42PyuDExedyYFLqKaL5Tq9jr4D6pnAWF4Hsa5N/K5cvi9WcHx+vPDo4WrdrE/kccG3vsf3B03b13NGnWfKv2WlVWFpPGjogPX38pRgx5M9asXrVFX7fbPgfEKed/bVvah7wbN25cjBmT/LOdz95T02Sy1Rl/VkA33XRT3HTTTRt/vz0hOUVFRXHaaafFVVddFaeddtpm67XFJZdcEoMGDYpMJrNZcFA2m41MJhPr1yffkYnap3///jFo0KBCtxEREQ888ED0799/u/dZsWJFHHzwwTFu3Lgtqt9///2jT58+0a1bt2jSpEksX748Jk+eHO+8806MGDFii/bYY4894sMPP4wmTZpsT+up+PzfTcP++sfo3V0icz7d8KfH4um3Pyp0GxER8YvLzo+zjzqo0G3UafUPPbvQLezQVq5cGX379o3PPvtsi+p79eoV+++/f+y8885RWloaK1eujBkzZsTHH3+8xd9HunfvHoMHD47Gjau+cBfqGrMG6TBrkH/mDNJh1iAdZg3SYdYgHWZtx/Tc5KsL3ULqfnHxO7F43pZdBJumHnu3iKtvPbBa9lpdvi7+cM2HMW962RbVd+rRNLr2ah47tS+JhiXFsap8fSyaUx5Txi6NWZ+t2KI92nYujWtvPzgaNqoz94PbLmd2u3uz3788IfnmPTuCB3//y3j/lRcL3UZERFx07Y/i8BNPz9v+jw34Q7zx7OAq1+s3aBC/evDpKG3SNG897ChO7Nlms9+btbo1az+/8qsxd0blHySrV79BdNylW3Tqtms0bd4ySps0jZLGjWP9unWxqrwsFs2dHXNmTIupn34S69au2eIzz+p/ZZzc96Jt7rmuMms1w1sv/D0evft3W1RbVFwcPXrtEx279ohmLXeK0iZNo2zF8li2eFHMmjIpJo0dGRVbeH16q3Yd4n9+NyCatdxpe9pnC5i1uuX5h++LFx55oMr1Q084LS7+7g0pdkSEOSu0uvSzKsnMWnp+8vW+sWjenEK38V967rVfXHvLnYVuo84za4Xje9qOxaylZ0tnq0XrttGuU+do1a5DNGu5UzRu2jzq1a8fRcXFsaqsLFaXl8WqsrJYNH9uzJw8MRbMmZkzu+DzOnbtEd/7zV3RqHHN/+xyXbBk0YI4/7Bemz02b968aNOmTRVfwS9+8Yt46KGHqlxv2LBhvP3229GsWdWB2nXBHXfcEXfeWfXPneecc07ccsstKXZEkjp3JcGG8IitDciJiGjbtm18/etfjyuuuCJ22WWX/DUJbJEmTZrEP//5zzjqqKNi2rTkpNOIiGHDhsWwYcO2+bwuXbrEP//5z1oRlANQ1zVu3Djuu+++uPDCC2PWrFk568eOHRtjx47d5vM6duwY9913nwvn2eGYNUiHWYP8M2eQDrMG6TBrkA6zBukwa1B3NGxULy7/5f5x1/98tEXBQDMnLY+Zk5Zv83kt25bE5b/cX1AORMTatWti6Ov/SqzZr8+xgnJgO61buyamTRwf0yaOr5b9ioqK4ytXfz+OOPWL1bIf5MNRp58dK5YuiecevjdnbcX69TFh1LCYMGrbr9ON+PeHz77589sE5QAAAAA1xpIF82LJgnl52797r73jqp/+RlAONdaaNWvi2WefTaw5+eST63xQDrVPUaEbyIekoJxMJrNZoE42m40jjzwyHn744Zg+fXr86le/qnNBOZs+Z6htunTpEq+88kr06NEjr+fsuuuu8eqrr0aXLl3yeg4AW65jx44xcODAvP/dvMsuu8SgQYOiY8eOeT0HaiqzBukwa5B/5gzSYdYgHWYN0mHWIB1mDeqOlm1L4spb9o9WHRrl9ZzWHRvFlbfsHy3bluT1HKgtRg55K1YuX5ZY0+fkM1PqBtgSzVq2iqtvvFVQDrXCaRf0j7P7XxWZovx/rKBDl27x/d/eHe06uVYXAAAAqPsymUwc+4W+cc0v/xilTYSMUHO9/PLLsWTJksSavn37ptMMbIU6GZbzeRvCYjKZzMaAnCZNmsRVV10VI0eOjDfffDMuuOCCqF+/fqFbrXYbnu+GX1Ab7brrrvHhhx/GKaeckpf9Tz311Pjggw/yHsgDwNbbZZddYvDgwXHkkUfmZf+jjjoqHn/8cWFp7PDMGqTDrEH+mTNIh1mDdJg1SIdZg3SYNag7WncsjWtvPzh2P3CnvOy/x0Gt4jt/PDhadyzNy/5QG7370nOJ663bd4yee++fUjdALvv1OTZ+dOfA2POAQwrdCmyxk/peGN+88XfRpFmLvJ1x+ElnxA/+98+xU9v2eTsDAAAAoKbo1G3XuOaXf4zzr7g26tdvUOh2INHgwYMT1zt37hyHHnpoSt3AlqvTYTkbAnIi/hMas/fee8fdd98ds2bNirvuuiv22muvAneZHw888EBUVFRU+mv9+vWFbg+2WsuWLeMf//hHDBw4MNq2bVste7Zt2zYGDRoUL774YrRs2bJa9gSg+jVv3jzuu+++uOWWW6JVq1bVsmerVq3iN7/5Tdx7773RvHnzatkTajuzBukwa5B/5gzSYdYgHWYN0mHWIB1mDeqO0qb14/Jf7h9f+X6vaNKiem5O1qRF/bjgf3rFZb/YL0qb1r0bnsG2WjRvTowf8VFizeEnnbHxOkkgWfOd2uRt7+699o7v/fbuuOxHv4imzV2PSO2z5wGHxE8H/DWOPuPcKCoqrrZ9O/fYLa695c646Ds/jAYlJdW2LwAAAEAux33x/Djh3AuiQ5duqZ3Zdfdeccn/uzGu/+P9sds+B6R2LmyrWbNmxZAhQxJrzjvvPO9FUSPVK3QD+bDpsGWz2WjQoEH07ds3rrrqqjjiiCMK2Bmwvfr16xd9+/a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RcfjI/4gTvnh21valeXKWLllrvWQtP7x+bH0+njXS48wI5J6ctS6LFi2KHj16fOR7CxcujO7dPdfl2ujRo+Paa69NnHP33Xdv1u/DP/300zFs2LDo1q3bJq+RycyZM+MLX/hCzJuXfFOZkSNHxhVXXJGzOkhWmu8CNtYjjzwSw4cP/6BRTklJyQd/mpqaPviTDx/f/8N1TZs2LY466qj48Y9/nLf6oCWYMGFCxkY5++yzT/ziF7/Iyn7XXXdd7L578sHFF154IaZOnZqV/Wi5fve73yW+EerUqVP85je/2aQ3QhER7dq1i2uuuSY6dOjQ7Jx169ZlbO4ELZ2sQTpkDdIha5B7cgbpkDVIh6zRWm23e7ecNpaJiOjWp12M+tWuUdGuLHHe608viIa65nO4IYrteihenbp2j5322j+O+/xX45s/vTp+8dd/xqU33hFfueiyOGzkGbHtTrtGVXVNvsvMqKmpKW7+9eWJjXLaVlTGqJ9elfVGORERbdq0bfWNckhWDFl76G9/SWyUU92+Q5x14U83+RfSKiqr4qyLLkv8e2hcvz4e+ttfNml9AArfsN32zmmjnIiI7r37xrd+9ruorGqXOO/lfz0eDXV1Oa0FCkUxvFaFQtSjb/8484Ifx49vuC32O/KErDbviIjYc8RRccrZ38o476kH74r6utqs7g2FRNYgfV4/Qm45MwK5J2eQe01NTXH33Xcnztluu+02q1FORMSBBx6Y00Y5ERFbbLFF3HLLLVFdXZ0476GHHopVq1bltBaa16Ka5Vx66aVx7LHHxpIlSz5olBMReW2Q05xPa5rT2NgYV1xxRRx66KGxYkXzB7WgNRszZkzGOT/72c8+yP/mKi0tjZ///OcZ5z3++ONZ2Y+WadasWfHoo48mzjn//POjd+/em7VP375949xzz02c88gjj8SsWbM2ax8oVLIG6ZA1SIesQe7JGaRD1iAdsga517VXVRzxH1slzlnTsD7eeX1pShVtnmK7HtJx0HEj4+wf/yJ+dsv9ccXN98TXLv5ZHHnqmTF01z2jpkPHfJe3Sf795P/E22++0ux4SWlpfOl7l8S2O+2aYlW0dsWUtcXz58Trzz6dOOfYz381OnfvuVn7dO3RK44546zEOa8981Qsnj93s/YBoHXr1qtPxuebNQ31MfmNl1OqCNJXTK9VodC079QlTh11QVw8+pbY4+DDo7QsudH15jjg6M/EnoccmThnTUN9vDr2iZzVAPkia5Aurx8hHc6MQO7JGaTjxRdfzPjve+TIkSlVs/n69+8f5513XuKcurq6eOGFF1KqiI9rMc1yLrroovjpT38ajY2NHzSf2ZQmOe8/dnP/bKiPN81pamqKp556Kg4//HANc+BTvPJK8wcZIyK22WabOOCAA7K65yGHHBKDBg1KnPPSSy9ldU9alttuuy3WJ9wpb8CAAXHqqadmZa/TTz89+vfv3+z4+vXr469//WtW9oJCI2uQDlmDdMga5J6cQTpkDdIha5CO/Y7vF1U15Ylz3n2r5TSXKbbrIff2OfzY2GGPfaND5y75LiUrVjfUx/03/1finMNOPiN23HO/lCqC/1VMWXv6wbujsbH516k9+vSL/Y44Pit7HXDMZ6Jbrz7Njjc2ro9/PXRPVvYCoPU68NiTo11N+8Q5U8a9kVI1kL5ieq0KhWbvw46JA47+TJSVJf+8LluOP/PsaFtRmTjnzRfGplILpEnWIF1eP0I6nBmB3JMzSMedd96ZON62bds47rjjUqomO84444zo2DG5UaQeBPnTIprl/Od//mf88pe/jKampg8a1WxIk5zmmty838BmU/40t3YmH2+Y89JLL8Whhx4ay5cv35S/EihaU6dOTRw//PDDc7LvEUcckTg+ZcqUnOxL4WtsbIwHH3wwcc6ZZ54ZZVnqSl9eXh5f+MIXEuc8+OCD0djYmJX9oFDIGqRD1iAdsga5J2eQDlmDdMgapKesvDS2271b4pyFs+tSqmbzFdv1wMZ68v47YtmSRc2O9+o/II45/cspVgTFpbGxMV7515jEOQefeGrW7uBeVlYeBx1/SuKcl596zOtUADZLWXl5DNtt78Q582fPSKkaANh0nbp2i90OPDRxzpTxb3gPBZtJ1gDINWdGIPfkDNKxcuXKeOyxxxLnHH744RkbzxSaNm3axAEHHJA45913302pGj6u4Jvl/PGPf4yrr776E81ukiQ1xunZs2ccdthhcdZZZ8XFF18co0ePjr/97W9x9913x0MPPRSPP/54PPLII3HvvffG7bffHn/605/isssui1GjRsUJJ5wQgwcP/qDhzYcb6GxI45z357//+FdeeSXOOOOMLP1NQXFYujT57pY77bRTTvbNtO7ixYtzsi+F74UXXohFi5o/ZFtRURHHH5+dO+W97zOf+Uy0bdu22fGFCxfGiy++mNU9Id9kDdIha5AOWYPckzNIh6xBOmQN0rXldh0Sx1csWZ1SJdlRbNcDG2rt2jXx9AN3Jc454YtnR3mbNilVBMXn7TdfieXvLWl2vE3btrHHQck3JtpYe404KsrbNP86dfl7i+Odt17L6p4AtD4DhwxLHF/+nrOCALQM2+++T+J4Q11tvLdwfkrVQPGSNQByyZkRyD05g3Q88MAD0dDQkDhn5MiRKVWTXcOHD08cX7hwYUqV8HHl+S4gyauvvhrnnXfeRjXJed/7TWmGDx8ehx12WIwYMSJ22WWX6Nq162bX1dDQEOPGjYunnnoqxowZE2PHjo36+voPashU74cb5jz88MNx2WWXxY9+9KPNrguKwerVyQd2u3VLvjvmpurevXvi+PsZp/V54oknEscPOuigqKmpyeqe7du3j/333z8ef/zxZuc8+eSTsffeyXc5gpZE1iAdsgbpkDXIPTmDdMgapEPWIF3tOzd/GCkiYk3D+pQqyY5iux7YUC89+WisWNp8E4/+g7aJHffcL8WKoPi89eKziePDdtsnKtu1y+qeVdU1MXTXPePNF8Y2X9e/n41td9o1q/sC0Lq079QlcXxNhsP8AFAoBm+/c8Y5i+fPjW69+uS+GChisgZALjkzArknZ5COu+5KvuFR3759Y6+99kqpmuzK1J9ED4L8Kc13Ac2pq6uLkSNHftA4I6lRzvsNapqamqKpqSkGDhwYl156acyYMSNeeeWV+PnPfx6HHXZYVhrlRERUVlbGbrvtFt/97nfjkUceicWLF8dNN90UBx100Edq/XDznubqbmpqiksvvTT+9a9/ZaU2aOk6duyYOF5dXZ2TfTOt26FD8l05KV7PP/984viBBx6Yk33ff05pznPPPZeTfSFfZA3SIWuQDlmD3JMzSIesQTpkDdJV2S75fjJtKspSqiQ7iu16YEM9P+afieMHHntySpVA8Zr0xsuJ49vvnpvDu9vvlrzupNdeysm+ALQeVe2Szwq2rahIqRIA2DzV7TtEeXmbxDn1tatSqgaKl6wBkEvOjEDuyRnk3uTJk2PcuHGJc0466aSMvTcKVaaGWpWVlSlVwscVbLOcyy+/PKZPn/5BQ5nmvB+KpqamGDJkSNx+++0xZcqUuPjii6Nfv36p1FpVVRVf+MIX4oknnojXX389TjzxxE/U93Efbqizfv36GDVqVKxf765+kKmp1ZIlzd8dcHNkWjdbzbZoWRYuXBhTpkxJnLPPPvvkZO9M677zzjuxaNGinOwNaZM1SIesQTpkDXJPziAdsgbpkDVI36plaxLHqzsmH3gvNMV2PbAhli5aENMmNn/Iqm1FZeyy/yEpVgTFZ/l7i2P+zOmJc4bsvFtO9h4yfPfE8Xkzp8Xypbk5OwJA67By+dLE8eoOndIpBACyoLpD8o1q165ZnVIlUNxkDYBccGYEck/OIB133nln4nhpaWmcdNJJKVWTfZl6EHTu3DmlSvi4gmyWM2XKlPj1r3+d2B2qpKTkg0Y6VVVVcd1118W4cePis5/9bIqVftIOO+wQd999dzz33HOx7bbbRlNT0we1ftyHmwBNnDgxrrnmmhQrhcK03XbbJY7Pnz8/J/vOmzcvcXyrrbbKyb4UtjfffDNxvHfv3tG7d++c7N2vX7/o0aNH4py33norJ3tD2mQN0iFrkA5Zg9yTM0iHrEE6ZA3St2xx8oH1rr2qUqokO4rtemBDvPrMk4k3XRq2215RUenfPmyO6W9PTBzv3L1HdO7eMyd7d+3ZOzp26ZY4Z2aG+gAgybLFCxPHu/Xqk1IlALD51qxuSBwvb9M2pUqguMkaALngzAjknpxB7q1Zsybuv//+xDn77LNP9OnTcn/2vmDBgsTx/v37p1QJH1eQzXK++93vxpo1/3sHvE874PR+45mmpqbYdddd4/XXX49zzjknSksL53L23HPPeP311+P888//4Bqaa/7zftOfSy+9NGNnKSh2+++/f+L42LFjc7Lvv/71r8TxfffdNyf7UtgmTkw+YDd06NCc7j9s2LDE8QkTJuR0f0iLrEE6ZA3SIWuQe3IG6ZA1SIesQfomv5z8eexW23dKp5AsKbbrgQ0x6fWXEseH7bZ3SpVA8Zo99e3E8f6Dts3p/lsMTl5/1rvv5HR/AIrbhFdeTBwfPGzHlCoBgM3TUFcXDXW1iXPa1bRPqRooXrIGQK44MwK5J2eQe48//ngsW7Yscc7IkSPTKSZHMvU22G233VKqhI8rnO4y/9+kSZPigQceyNhYpqmpKY4++uh4+umnY/DgwSlXuWHatm0bv/nNb2L06NEfNPL5+HV9uBnQqlWr4vrrr0+1Rig0hxxySFRWVjY7/sQTT8Tq1cl3yNxY9fX18cQTTzQ7XlpaGgcffHBW96RlyPRmaNttc3sAcMiQIYnjmeqDlkLWIB2yBumQNcg9OYN0yBqkQ9YgXUsXNcS08cubHS8tK4mth3dJsaLNU2zXAxti/fp18e6E5LvrbbPjLilVA8Vr9rQpieN9BwzK6f59ByafBcvUzAcAmrN00YKYmvB6srSsLLbdefcUKwKATTf73Xc+9ebUH9a9d9+UqoHiJWsA5IozI5B7cga5d+eddyaOd+rUKUaMGJFSNdk3b968eOWVV5odLy8vj733dlOnfCnPdwEf9+tf/zqampo+aIrzYe9/r6SkJE488cT4xz/+EWVlZXmqdMOdffbZ0alTpzjjjDMiIhKv7frrr48LL7wwKioq8lEq5F2XLl3ijDPOiBtvvPFTx5ctWxajR4+Ob3/721nb87rrrouVK1c2O37MMcdE//79s7YfLcf06dMTx7fccsuc7r/FFlskjs+YMSOn+0NaZA3SIWuQDlmD3JMzSIesQTpkDdJ13w1vR2Nj8wfad9yve3Ts2nI+py2264ENMWvK29FQX9fseMcu3aJrz94Z11ndUB/zZkyL5UuX/O9doZuaok1FZbSraR9devSKLt17RnmbNtksHVqUhXNmJY5379Mvp/t3y/ALZgvnzs7p/rAp1q9bF4vmzYmlixZE7coVsXbtmigrK4+2FRVRVV0Tnbp1j87dekZb5wIhr+7843XR2Li+2fHh+xwUnbp2S7EiANh0415+LnG8sl11dO7eM6VqoHjJGgC54swI5J6cQW7Nnz8/nnsu+T3TCSecEG3btk2pouy78sorY/365j9XOPzww6NnT+8J86WgmuUsXrw4br311igpKfnE2Icb5ey+++5x2223tYhGOe877bTTYubMmXHRRRd94vrev66I//07uOWWW+IrX/lKPsqEgvDd7343brnlllizZs2njl955ZXx2c9+Nvr23fzu2zNmzIhf/OIXiXMuuOCCzd6HlmnOnDmJ4/l+MzR7tgOAFAdZg3TIGqRD1iD35AzSIWuQDlmD9Pzrnpnx1rOLmh0vLSuJQz47IL2CNlOxXQ9sqDnTpiSO99tq6+YfO31qvPzUYzHupedi3sxpiXeDLi9vE/0GbR1bb79z7LTPgTFgm6GfepYFitWShfMSx7v3zm2znEx3Y1+yILk+SMu8WdPjnj+PjrffejXmTn831q399LNO7yspLY0effrHFoO3jSHDd49hu+4V7Tt1Tqla4In7/hGvP/d0s+OlZWVx2Cn/kWJFALDpGhsb49WxTyTOGTR0xygtLU2pIihOsgZALjkzArknZ5Bbd911VzQ2NibOGTlyZErVZN9NN90Ujz76aLPj5eXl8bWvfS3Fivi4gmqW8/e//z0aGho+aIzzvg8fOOrYsWPcc889UVlZmY8SN8v3vve9ePHFF+Oee+75xDV+2J///GfNcmjVhgwZEj/+8Y/j4osv/tTxxYsXxzHHHBNjx46N9u3bb/I+7733Xhx11FGxdOnSZueceeaZceCBB27yHrRcixYtioaGhsQ5ue72l2n9+vr6WLJkSXTt2jWndUAuyRqkQ9YgHbIGuSdnkA5Zg3TIGqRj/brGeOxv0+Ox26Ylzhtx6pbRd9Cmf+6UlmK7HthY82Ym/9vvM2CrT3xv2qRx8cAtf4zJb7yywfusW7c2pk+eENMnT4jH7vpr9Oy3RRx8wmdj70OPifI2bTa6bmhJli9dEmtXr06c06lrt5zW0Klr98TxNasbYuWypZqMkHevPfPkRs1vamyMBbNnxILZM+Klpx6NktLS2G74HnHA0SfG9nvsqzEb5Mj6devi4b/fHA//7S+J84445fPRP6H5IgAUkjdfGJuxkegOe+6bUjVQvGQNgFxxZgRyT84gt5qamuKee+5JnLPjjjvGNttsk1JF2bN27dr4/e9/H9dff33ivK997Wux3XbbpVQVn6agWtf+4x//aHasqakpSkpK4uqrr47evXunWFV2/f73v//gSevjH26/30Dn3//+d8ZudVDsLrroojj88MObHX/jjTdi9913jzfeeGOT1n/xxRdjt912i4kTJzY7Z+DAgXHNNdds0vq0fAsXLsw4p1u33B4A7N49+QBgxIbVCYVM1iAdsgbpkDXIPTmDdMgapEPWILfWr2uMcc8viqtH/TtjY5ltd+0Sh50+MKXKNk2xXQ9sqnmzpieOd+/V94P/bqivi1uv/Vlc/Z/f2KhGOZ9mweyZcfv1V8UV53whJr76781aCwrd8iWLM85p37lLTmvo0DnzgeBl72WuEwpdU2NjTHjlhbjhsoviF986Kya+9lK+S4Kisn7dunjjhbFx5XlfzNgoZ7td9oijTvtiOoUBwGZqXL8+/nnbjYlzysvbxC77HZJSRVCcZA2AXHJmBHJPziC3XnjhhZg1a1binJEjR6ZUTXasXbs2xowZEyeeeGLGRjn77bdfjBo1KqXKaE55vgt43/z58+PZZ59ttoFMSUlJ7LPPPvGlL30pTxVmR48ePeKKK66Is88++yPX+v41vv/fd9xxR3zrW9/KU5WQf2VlZXHvvffGUUcdFU8//fSnzpk8eXLsscceccYZZ8T5558fO+20U8Z1X3rppbjmmmviH//4R6xbt67ZeX379o3HH388OnXqtKmXQAu3bNmyxPGamppo27ZtTmuorKyMdu3aRV1dXbNzMtUJhU7WIB2yBumQNcg9OYN0yBqkQ9YgOxrXN8Xq+nXRULc+li9eHXPfXRmz3lkZ419YFLXL12Z8/Da7dIkv/WTHKCsvjPvMFNv1QLYtXZR8ULBrr/+9+dLCObPiv674fsyfOT2r+y+cMyuu/8kFMeIzn4vjz/xalJUVzLEbyJralSsSxyvbVUebNrl9ndq2oiIqqqpidX19s3NqVyzPaQ2QtllT347f/ejbsdehR8fIr50fVe2q810StBiN69dHQ31dNNTVxrIli2P2tHdi1pTJ8eYLz8SqFcsyPn674XvE1y/+WZSVe20HQMvwzCP3xdwZ7ybO2XPEkVHdvkNKFUFxkjUAcsmZEcg9OYPcuuuuuxLHq6qq4phjjkmpmo2zfv36qK2tjVWrVsWCBQti4sSJMX78+Hj88cdj6dKlGR+/3377xejRo6NNmzYpVEuSgvlk5957743GxsYPmuN8mksuuSTdonLky1/+cvz85z+PGTNmNHu9d911l2Y5tHpVVVXxyCOPxAUXXBCjR4/+1Dlr1qyJv/zlL/GXv/wl+vTpE/vuu29svfXW0blz56ipqYmVK1fG0qVLY/LkyfHss8/GggULMu47fPjwuOOOO2LgQHfcbM2WL08+WFdTU5NKHTU1Nd4MUdRkDdIha5AOWYPckzNIh6xBOmQNNsziuXXxsy8/n/V1S8tK4tDTBsRhpw+M0rKSzA/IkmK7HkjbiqVLEsc7de0eC2bPjGt/cG4sfy957qZqamqKMXf/NRbOnRVfvvCnOW8aAmmr24BmOWmorKpObJZTtyq5TmipXhjzUEyfPCHO/vEvonvvvvkuBwrCwrmz46dfOy3r65aWlcWRn/1CHHXaF6O0rCzr6wNALixZOD/uu+mGxDll5eVx2Mj/SKkiKE6yBkCuOTMCuSdnkDsrV66Mxx57LHHOkUcemVrOPm7GjBlx+OGHZ33d8vLyOPvss2PUqFFR5nOFglAwzXKeeuqpT3zv/UYyJSUlsddee8WIESPSLywHysvL48ILL4xvfOMbUVLy0YOK71/zv//972hoaIjKyso8VQmFobKyMq6//vo45phj4qKLLoq33nqr2blz586NO+64Y5P3atu2bZx77rlxxRVXREVFxSavQ3EopDdDCxc2f4fMTHVCoZM1SIesQTpkDXJPziAdsgbpkDXIj5KSiKF7dosjPr9V9B3UPt/lbLZiux5IsnbN6qivXZU4p7GxMa7/yXdy1ijnw958YWz86cqL4+sX/8wvV1NU6latTByvbNculToq21XH8vcWNztem6GpD7Rk82dNj6su+Hqc/7Pros+WW+W7HCg6JSUlsf0e+8YxZ5wV/bfaOt/lAMAGa2xsjFt+c0U01Df/S5YREQcf/1mNF2EzyBoAaXBmBHJPziB3HnjggWhoaEicM3LkyJSqyb2SkpI4+OCD47zzzovtttsu3+XwIQXTLOeZZ575ROOYD/vqV7+aYjW5d8YZZ8QFF1wQ9fX1HzTIeb8xUETEunXr4vnnn4+DDz44z5VCYTj66KPjqKOOinvuuSf+/Oc/x5gxY2L16tVZWbtDhw5x+umnxw9+8IPo379/Vtak5cv07yutZmZVVVWJ49nKAeSLrEE6ZA3SIWuQe3IG6ZA1SIesQbq692sXO+zTPXY9pFf0GpCfuxZlU7FdD2yIugyNciIibh99dSxb3PxBw8qqdrHdrnvGjnvuF7233Co6dO4S1TUdonbVilix9L2YN+PdePPFZ2LiKy9m/GWYiIhxLz0Xd//5+hj51fM26lqgkK1duyZxvG1FOq9TKzK8Hl63JrlOyLU+W24V/QdvG3223Cr6DhgUnbv3iMp2NVFVXR3l5W2iduWKqF25PFYuWxrTJ4+Pd8a9Ee9OfCsa6mo3aP1VK5bFby/+dlzwq9HRrZdfvoRs6Nlvi9hprwNi94MP14gKgBbpn7fdGO+89VrinM7de8RRp30xnYKgSMkaAGlwZgRyT84gd+68887E8QEDBsRuu+2WUjW5M3DgwDjssMPi+OOPj6231ny/EBVEs5xp06bF3LlzP2gaExEfaZzTrl27OOWUU/JVXk7U1NTESSedFLfeemuzTYLGjh2rWQ58SElJSZx00kmx3XbbxW233RZXXXXVZr0QbNOmTXzve9+Liy++OLUXtrQca9euTRwvL0/nKTTTPpnqhEIna5AOWYN0yBrknpxBOmQN0iFrkJ7SspLo1rsqOnariLaVZfkuZ7MV2/XAhlq7AZ8NTx3/xqd+v7SsLA44+jNxzBlnRbua9p8Y79i5a3Ts3DX6b7V17HHwEVG3amU8eNuNMfahe6Jx/frEPZ+87x+x3S57xLBd99qwC4ECtz7D67+y0nSee0rLkvdZt25dKnXA+0pLy2LornvG9rvvE9vvvnd07t4zcX6Hzl2iQ+cu0XuLgbHNjrvE4ad8PtauWR0vjHk4xtzzt1g8b07GPVcsXRJ/vPLi+O5VN0SbthXZuhRolUrLyqJbr77RqVv3qKhM/uUUAChE4156Pv7njlsS55SUlMQZ530/Ktu1S6kqKD6yBkBanBmB3JMzyI1JkybF+PHjE+ecfPLJKVWTO+Xl5bHFFltEr169Mja9In8KolnOc88996nfb2pqipKSkjjqqKOiuro65apy79RTT41bb7212fHm/l6gNVq3bl3cdttt8ctf/jImTJiQlTXXrl0bV1xxRdx4443xmc98Jr7zne/E4MGDs7I2LV+mNxllGQ7mZUumfbwZoqWTNUiHrEE6ZA1yT84gHbIG6ZA1SE/j+qaY+NKSmPjSkrj3hrdj+726x8GnbBlbbtcx36VtkmK7HthQ69au2aTHVXfoGKN+8qsYsO3QDX5Mu5r28dmvfyt2P+iw+P0l/xm1K1ckzv/b734ZP/mvv2lkQFFYty759V+mJjbZkmmf9RnqhGzp2KVr7HP4cbHfkSdEp27dN2utNm0rYv+jT4x9jzw+nnrgzrj3L6NjfYbGT7PffSfuv/kPcfJXz92svaG1a1y/Psa//HyMf/n5uOMP18aOe+4Xh518egwcsn2+SwOAjObNnBZ/+dUl0dTYmDjvgGNPju2G755SVVB8ZA2ANDkzArknZ5Abd955Z+J4eXl5nHjiiekUk0Pr1q2Lp59+Op5++ukoLS2NESNGxFe+8pXYeeed810aH1Ka7wIiImP3qEMPPTSlStJ14IEHftARrqSk5IPvl5SURFNTU7z11lv5Kg0KyoMPPhhbb711fPGLX8xao5wPmz9/fvz+97+PIUOGxOmnnx4zZ87M+h60PI0ZfshdKG+G1me4kyUUOlmDdMgapEPWIPfkDNIha5AOWYP8aGqMeOu5RXHdt1+OW38+LupWtuxDR8V2PZAkUzOBT9O+U+f41pW/3ahGOR82cNthcf7PfhvtO3VOnLd00cJ4+sG7NmkPKDRNTU2J46Wl6Rw3Ky1Nfp2a6fU0ZMtlf7krjv2Pr2x2o5wPKy0tjUNO+Gx85xejo0uPXhnnP/XgnTFn+tSs7Q+tXVNjY7zx/L/iqu+eHX/51SVRtyq5MSIA5NPK5UvjhksvjIa62sR5W269XZz05W+mVBUUH1kDIG3OjEDuyRlk35o1a+KBBx5InHPAAQdEjx49UqooHY2NjfHYY4/FqaeeGhdccEEsX7483yXx/5Xnu4CIiEmTJiWOjxgxIqVK0lVTUxN77LFHPPfccx80y2lqavrgv+fPnx8rV66M9u3b57NMyJv6+vq44IIL4ve//30q+61fvz7+9re/xUMPPRQ33HBDnHbaaansS2F6v5lZc9ZtwmHcTZFpnzZt2qRSB+SKrEE6ZA3SIWuQe3IG6ZA1SIeswYap6dg2Tjl/SLPja9c0RsOqdVFfuy6WLWqImZNXxNKFDRu09mtPLYh3xy2LL/xghxgwtGO2Sk5UbNcDaSrZhAYdn//2D6PPgK02a9++AwbF57/9wxj9k+8mznvi3n/EwSd8NsrKCuIoDmyy0kwHdhvTObDbmOFgsKyRllz+Wxuw7dD49s9/F7++8JuxdNGCZuc1rl8f/7z1T/G1i3+Ws1qgkLXv1DlOP/fCZsfXrlkd9atWRV3tyli6eGHMeHtivLdw/gat/fLTY2LKuDfirIsui6222z5bJQNAVqxuqI8bLr0wFs+fmzivukPHOOv7l0W5n+fDJpE1APLBmRHIPTmD7BszZkwsW7Yscc7IkSPTKSZB165d4/LLL292vKGhIVasWBErV66MefPmxVtvvRVz5szZoLUffPDBeOmll+Laa6+N4cOHZ6tkNlFBnBqYNGnSBw1iIuIj/929e/cYNGhQPspKxb777hvPPfdcs+OTJk2K3XffPcWKoDDU19fHscceG0888UTGuWVlZXHooYfGAQccEPvuu2/07ds3unbtGu3bt49ly5bFe++9F9OnT4+xY8fGU089Fc8880ziesuXL4/Pfe5z8eabb8aVV16ZrUuihcn0JiOtjp3eDFHsZA3SIWuQDlmD3JMzSIesQTpkDTZMZXV57HVU3416zKpla+Kt5xbFCw/NidlTVibOXb54dfzh4tfiq5ftHAOHddqMSjdMsV0PpKm8fOOek/Y98vgYtuteWdl72K57xT6HHxfPPdr8HdKWv7c43nrx2dh5nwOzsifkS6aDw5ma2GTL+gyvU8sy1AktRZceveJrP7wyfv29b8TaNWuanffmv5+NhXNmRY++/VOsDgpDVbvq2PeI4zbqMSuXL403nv9XPPPwfTFr6tuJc5ctWRTX//g7MeqnV8WgoTtuTqkAkDXr1q6NP175w5g+eULivDYVFXH2j34eXXv0SqkyKC6yBkC+ODMCuSdnkH133XVX4nj37t3jwAPzf2aipqYmTjnllI16zHvvvRePPfZY/P3vf4/x48cnzl2wYEGcddZZ8cc//jF23XXXzSmVzbTxt93KsvXr18fUqVM/8f2mpqYoKSmJYcOG5aGq9Oywww6J45MmTUqpEigca9asieOPPz5jo5w2bdrEueeeG1OmTIlHHnkkfvCDH8SBBx4YgwcPjs6dO0d5eXl069Ytttlmmzj88MPjsssui7Fjx8abb74ZZ5xxxkcac32an/3sZ/GTn/wkm5dGC5LpAODatWtTqcObIYqdrEE6ZA3SIWuQe3IG6ZA1SIesQe7UdGobex/dN779uz3iG78YHl17VyXOX123Pv548esxf8aqlCrcOMV2PbCpyjbiOamsvDyOOeOsrO5/7H+cFaVlZYlzXnv2qazuCflQVpb8OjVTE5tsWb8+eR93caeYbDF42zjilC8kzmlqbIx/P/VoShVBy9e+Y+fY78gT4qJr/xznX3lddOud3LS0ob4urv/JBTFv5rSUKgSA5jU2NsbNv74sJr7678R5ZeXl8ZWLLo+ttkv+nRTg08kaAPnkzAjknpxBds2bNy+ee+65xDknnnhixuwVqi5dusSpp54ad999d9x8882xxRZbJM6vra2Nr3zlKzFlypSUKuTT5L1Zzty5cz94QmlqavrE+Pbbb592SanKdH0zZsxIqRIoHD/5yU9izJgxiXO23HLLGDt2bFx33XUxYMCAjVp/hx12iFtvvTXuu+++6Ny5c+LcSy+9NGOnO4pTu3btEsdra2tTqWPVquSD7JnqhEIna5AOWYN0yBrknpxBOmQN0iFrkI7BO3WJ7/5+z9jj8N6J81bXr4+//nJCrF/XmFJlm6bYrgc2RkVF5QbP3XGv/aNj565Z3b9jl26x0177J86Z+OqL0dgod7RsFVXJr/8a6upSqaOhLvn1cEVlcvM4aGkOPflz0b5Tl8Q5rz37ZErVQHHZZsdd4oe/vTn2PuyYxHmr6+vj5qsvS60xHAB8mqampvjb734Zr45NvulsSWlpfOHbF8f2u++dUmVQXGQNgHxzZgRyT84gu+66666M5yFOPvnklKrJrb322ivuv//+jNdTV1cX//mf/5la8y0+Ke/NchYuXJg4PmTIkJQqyY9tt902cXzBggUpVQKF4bnnnotf/vKXiXO23nrrePnll2PPPffcrL2OO+64eOGFF6Jr1+RDkt/4xjcy/n/Vplq4cGGMHz9+k/6QW506dUocT+vNUKZ9OnbsmEodkCuyBumQNUiHrEHuyRmkQ9YgHbIG6WlbWRaf/fZ2GRvMzJm6Mp74R+HfzKTYrgc2VLua9lFSUrJBc/cacXROatjr0ORfsK5duSIWzpmZk70hLe1q2ieON9Sn1Cwnwz7t2ndIpQ5IS5u2FbH/USckzpk/c3qsXLY0pYqguLStrIwzzrsoY8OcWVPfjkfvvDWlqgDgk+7602/juUcfzDjvc6O+G7sdeGgKFUFxkjUA8s2ZEcg9OYPsaWpqinvuuSdxzm677RYDBw5MqaLcq6qqiiuuuCJjw5wJEybEH//4x5Sq4uMKvllO797JB/xauqqqqg+eyD7tUFeuGnRAobrooosSO8t17tw5/vnPf0a3bt2yst8222wT99xzT7Rt27bZOYsWLYpLL700K/t93OjRo2P77bffpD/kVqY3QytWrEiljpUrVyaOZ6oTCp2sQTpkDdIha5B7cgbpkDVIh6xBukpKSuKUb20Xg3bslDhv7H2zYu3q9ekUtRmK7XpgQ5SWlUVlu+qM80pKSmKr7XLzeepW2w3L2LBn5pTJOdkb0lLdIflAbn1t8t0vs6Uhw8Hhas1yKEK77H9IxjnvThqXQiVQnEpKSuL0cy+MrXcYnjjvqfvvjDWrV6dUFQD8nwdu+UM8ed8/Ms476axzYt8jj0+hIihOsgZAIXBmBHJPziB7XnjhhZg9e3binJEjR6ZUTXpKSkri8ssvjz322CNx3n//939HQ0NDSlXxYQXfLKdXr14pVZI/SdeoWQ6tycsvvxxjx45NnPPTn/40tt5666zuu//++8fZZ5+dOOemm26KZcuWZXVfClvnzp0Tx9esWZPzN0RLly6NtWvXJs7JVCcUOlmDdMgapEPWIPfkDNIha5AOWYP0lZaWxGdGbRulpc03uqhdvjZeHjMvxao2XbFdD2yImg6dMs7p0XeLaFfTPif7t6vpEN379Eucs2jenJzsDWmpydAsZ93aNVG3KvlQ7+ZatWJ5rFuX/Do1U53QEvXeYmC079Qlcc6C2TNSqgaKU2lpaXz269+O0tKyZuesWrEsXnzi4RSrAoCIR++8NR75+39nnHfMGWfFiM+clkJFUJxkDYBC4cwI5J6cQfbceeediePV1dVx5JFHplRNukpLS+NHP/pRlJU1/7nC0qVL4957702vKD6Q92Y5ixYtShzv3bt3SpXkT69evaKpqekT329qasr49wPF5MYbb0wc79+/f3zta1/Lyd4//OEPo7q6+bsQ1tbWxi233JKTvSlMG/L8s3jx4pzWsGTJkoxzWsPzJMVN1iAdsgbpkDXIPTmDdMgapEPWID96D6iJnQ7skThn/Au5zV42Fdv1QCadu/fMOKf3FgNyWkPv/snrL1vspki0bBuSs5XLlua0hpXL3ss4Z0PqhJao31aDE8eXLJifUiVQvPoM2Cp22f+QxDlvvfhsStUAQMST998R9910Q8Z5h550ehz9uS+lUBEUJ1kDoJA4MwK5J2eQHStWrIjHHnsscc4xxxwTVVVVKVWUvm222SaOOuqoxDlPPPFEStXwYXlvllNbW5s4ntS8oljU1NR84nslJf97979Vq1alXQ7kzZNPPpk4fuqpp0ZFRUVO9u7Ro0ccccQRiXNy8UQ1atSoGDdu3Cb9Ibeqq6szduWcO3duTmuYMyf5rpNdu3aNdu3a5bQGyDVZg3TIGqRD1iD35AzSIWuQDlmD/Nlh7+6J49PGL4vGxk/e7KRQFdv1QJJuvTIfFKyq/uQZjGyqqmmfOF67Mrd3H4Rcq6xqFzUdOiXOeW9hbpt1ZFq/fafOUVFZvIctad269kh+rlu1PLfNqqC12Gnv/RPHp054MxobG1OqBoDW7NlH7o+7/nhdxnkHHHNSfObLo1KoCIqTrAFQaJwZgdyTM8iOBx54IFavXp04Z+TIkSlVkz+HHnpo4vgrr7zic4U8yHuznEzhyFVjjEKSdI2Z/n6gWCxcuDAmT56cOOfwww/PaQ2Z1n/mmWeiqSm7B4l79OgRw4YN26Q/5F6/fv0Sx2fMmJHT/TOtn6k+aClkDdIha5AOWYPckzNIh6xBOmQN8mPb3bpGScIn5Q1162PR7Lr0CtpMxXY9kKRrrz4Z5+S6WU676uRmOWtWN+R0f0hD157JzToWzp2V0/0Xzp2dOJ6pPmjJqjLcXNDzDGTH0F32ipLS5t9INdTVxsI5M1OsCIDW6MUnHom/jb4q4/n0vQ87Jj579rdTqgqKj6wBUKicGYHckzPYfHfddVfi+NZbbx077bRTStXkz/777x+lCZ8rrFq1KqZNm5ZiRUS0gGY5lZWVKVWSP0nXqFkOrcWGPAHsscceOa0h0/qLFy+OJUuW5LQGCsvWW2+dOJ7rFy7Tp09PHB88eHBO94e0yBqkQ9YgHbIGuSdnkA5Zg3TIGuRHZbvyqO7QJnHOqmVrUqpm8xXb9UCSPltulXFO2xzflKlNRdvE8cb163O6P6Sh95YDE8cXzMlxs5wM6/feIrk+aMnKypNf161fty6lSqC4VbZrFzUdOibOWblsaUrVANAavfrME3HrNT+Lpgx3HN/twEPj9HMvjJKSkpQqg+IiawAUMmdGIPfkDDbPpEmTYvz48YlzRo4cmVI1+VVTUxOdO3dOnKMHQfoKvllOmzbJH/4Wg6Rr1CyH1iLTE0Dbtm2jY8fkD6c3V48ePTLO8UTVumy33XaJ4xMmTMjp/pnWHzp0aE73h7TIGqRD1iAdsga5J2eQDlmDdMga5E/7TsnNNGpXrE2pkuwotuuB5mwxaNuMc+pra3NaQ6b127TNbbMeSEO/rZIPDs+e+nZO95+VYf1+W22T0/0hn9auyXCe0vMMZE37Tl0Sx2tXrkipEgBamzdffCZuuurSaGxMbri7094HxBe+c3HiXcuB5skaAIXOmRHIPTmDzXPnnXcmjrdp0yaOP/74lKrJv65duyaOL1u2LJ1C+EDe38lrBpNszRp3+KN1WLo0+S4smZ5AsqFbt24Z57z33ns5r4PCkenNxsSJE2N9ju4MuW7dupg0aVLinExv1qClkDVIh6xBOmQNck/OIB2yBumQNcifinZlieNr1yTfZbbQFNv1QHM6deue8Zea62pX5bSGulUrE8crqqpyuj+kof+g5GY0s6e9E405ep26fv26mDNtSuKc/oOSm/lAS7ZiafLZJM8zkD2V7doljq9xvhmAHJjwyotx489/HOvXrUucN3TXveLL3/tplJWVp1QZFBdZA6AlcGYEck/OYNOtWbMmHnjggcQ5hxxySHTpknyGo5jU1NQkjjc0NKRUCe/Le7OcdRl+8NAaNTU1ffDfjY0OLdI6lJUlH+BNo7HWhuxRUlKS8zooHDvssENUVDR/R666uroYP358TvZ+8803o76+vtnxioqK2H777XOyN6RN1iAdsgbpkDXIPTmDdMgapEPWIH/WrE4+7NS2Mvmzq0JTbNcDSQYN3TFxfNWy5Bu1bK5Vy5PX79S1e073hzRsufWQaNO2bbPjq+vrY+aUyTnZe8bbE2PN6uYPEbZp2za2GLxtTvaGQrB43pzEcc8zkD1rMhxar6isTKkSAFqLt998Nf5w5Q9i3drkGypvs+Ou8bUfXhHlbdqkVBkUF1kDoKVwZgRyT85g040ZMyaWLVuWOGfkyJHpFFMgkjIdEdEuQ5N+si/vzXIAIiKqq6sTx5cuXZqzDo3vW7RoUcY5nqhal4qKith1110T5zz77LM52fu5555LHN9tt90S36hBSyJrkA5Zg3TIGuSenEE6ZA3SIWuQP8sWJd9EoV1Ny7qLbLFdDyQZusseieMzpyTfnW9zNDU1xaypbyfO6dKjV872h7S0aVuRsTHVpNdfysnek15/OXF80LCdok1br1MpTuvWro1Z776TOKdrz94pVQPFb+nihYnj7Wrap1QJAK3BuxPHxQ2XXRhrM9zcddDQHePsH//c+x7YRLIGQEvizAjknpzBprvrrrsSx3v16hX77bdfStUUhnnz5iWOd+jQIaVKeJ9mOUBB6NUr+cBgU1NTzJmTfOekzTVr1qyMc3r27JnTGig8++yzT+L4Y489lpN9/+d//idxfN99983JvpAvsgbpkDVIh6xB7skZpEPWIB2yBulbvrgh6lasTZzTpXdVStVsvmK7HshkuwzNcmpXrogFc2bmZO+Fc2ZF7coViXP6Dhyck70hbUN23j1x/PXnns7Jvq89+1Ti+HbDk+uClmzS6y/HurVrEuf0HeB5BrJh2eJFUbtieeKcbr36pFQNAMVu5pTJMfqS78bqDHcf33Kb7eIbl/wqKir9LA82hawB0BI5MwK5J2ew8ebNm5ex4dNJJ50UpaWtp1XJggULYtmyZYlz+vfvn04xfKD1/AsECtpWW22Vcc6TTz6Z0xoef/zxxPGqqirNclqhI488MnF8/Pjx8e6772Z1z3feeSfefjv5jpSHH354VveEfJM1SIesQTpkDXJPziAdsgbpkDVI3+RX30scr2hXFp26tZy7dxXb9UAmXXr0ioHbDkucM/HVl3Ky98TX/p04XlpaFlsM3jYne0Pahu93UOL4rKlvx4LZ2W1MNXfGuzF3+tTEOTvvc1BW94RC8u8nHkkcLysvjy22HpJSNVDcMr2uq6xqF5269UipGgCK2dzp78bvfvydqK9dlTiv78DBcc6lV0dVu+qUKoPiImsAtFTOjEDuyRlsvLvuuisaGxubHS8pKYmTTjopxYry75lnnkkcr66ujl69eqVUDe/TLAcoCF27do1+/folznnkkeQDIZvr4YcfThzfcccdc7o/hal///4xfPjwxDm33nprVve85ZZbEsd32WUXHQYpOrIG6ZA1SIesQe7JGaRD1iAdsgbpe+mxeYnjA4d1ipKSkpSq2XzFdj2wIfYYkXyg8ZmH783JvmMzrDto6A7uSE3R6Narbwwcsn3inKceuDOre2Zab6uhO0S3Xn2yuicUioVzZsVrzz6VOGfwsJ2ibYUmiJANLzyefFZwq6E7eh8FwGZbMGdmXHfxt6J2xfLEeb22GBDnXv6baFfTIaXKoLjIGgAtmTMjkHtyBhunqakp7r777sQ5e+21V6v7N3zPPfckju+6664+V8gDzXKAgrHPPvskjt91110xffr0nOz95JNPxiuvvJI4J1N9FK9MHQ7vvvvuWLhwYVb2mj9/ftx7772bVQ+0VLIG6ZA1SIesQe7JGaRD1iAdsgbpmfLGe/HuW8sS52y7a5d0ismCYrse2FC7HTAi2iY0pZk3c1pMfiP589+NNen1l2P+zOmJc3bc+4Cs7gn5tvehRyeOvzDmoVj+3uKs7LV08cL49xPJN1Haa0RyPdCS3fGHa6KxcX3inF32PySlaqC4vf3mqzFl3OuJc4buskc6xQBQtJYsmBfX/fBbsXLZe4nzevTpF+ddfk2079g5pcqguMgaAMXAmRHIPTmDDffCCy/EnDlzEueMHDkypWoKwwsvvBAvvfRS4pz99tsvpWr4MM1ygIJx/PHHJ46vXbs2fvzjH2d938bGxvj+97+fcd6xxx6b9b1pGU444YTo2rVrs+P19fVx9dVXZ2WvX/3qV7F69epmx7t16xYnnHBCVvaCQiNrkA5Zg3TIGuSenEE6ZA3SIWuQjoa6dfGPayYlziktK4nhB/VKqaLNU2zXAxujXU2H2O+I5M+X//77X8faNc0/522MtWtWxz9u+HXinDZt28YeBx+Rlf2gUOxxyBHRvlPzv0S2ZnVD3HfTDVnZ696//D7WrlnT7Hj7Tl1ij0NkjOI05u6/xoRXXkycU9muOnbdf0RKFUHxaqiri9t++4vEOaVlZbHbgYelVBEAxWjZksVx3Q/Pj2WLk3/RsmvP3nHeFddGxy7dUqoMiousAVAsnBmB3JMz2HB33nln4njHjh3jsMNaz8/QV61aFT/60Y8S55SXl+tBkCea5QAF4/jjj4+amprEObfcckv86U9/yuq+F1xwQbz4YvKBk969e8eBBx6Y1X1pOSoqKuILX/hC4px77703Hnvssc3a5+GHH44HH3wwcc6ZZ54Zbdu23ax9oFDJGqRD1iAdsga5J2eQDlmDdMgardGUN5ZGfe261PZb07A+brr0zVgyrz5x3vADe0b7ThufgWK7HmgJRpz0uShv0/y/7wWzZ2Sticd9N90QC2bPTJyzx8FHRE2HjlnZDwpFm7YVcdDxpyTOefGJR+L1557erH1efeaJePnp5Ne6h5xwSrRJyDxk08wpk2NNwkH2bHrh8Yfj3g14vtr/6BOjqjr5XBW0NG+/+WrU165Kbb81DQ3xhyu+H4vnJd8Rd9cDDk1sFgcASVYuXxq/vfhbsXj+3MR5nbr1iPOuuDY6d++ZUmVQXGQNgGLizAjknpzBhlmxYkXGHBx33HFRUVGRUkUf9eKLL8bKlStT26++vj7OOeecmDkz+bzI0UcfndiQi9zRLAcoGO3bt4+vfOUrGeeNGjUqY2e6DXXFFVfENddck3He+eefH2VlZVnZk5bpzDPPjD59+iTOufDCC+PNN9/cpPVff/31+MEPfpA4p0+fPhnflEFLJ2uQDlmDdMga5J6cQTpkDdIha7Q2Lz02L64489l47K/ToqEut01mFs2ui99f+Gq88/rSxHll5SVx+H8M3KQ9iu16oCXo1LVbHDbyjMQ5T95/R/zzr3/erH3+eduN8eT9dyTOaVtRGUd/7subtQ8UqkOO/2zGXyi75TdXxPTJEzZp/WmTxsWt1/4scU7n7j3joOM/u0nrw6b49xOPxCVf/Ww8ef8dsbohuTnhplq3dm3c+Ydr45bfXBFNjY2Jc9t36hKHj/yPnNQB+fTC4w/Hj886JR6+/aZoqKvL6V4L5syMa35wbkx+45XEeWXl5XHM6V7XAbBp6latjN/96Dsxf9b0xHkdOneN8664Jrr1Sv5MAPh0sgZAMXJmBHJPziCzBx54IFZnuKHEySefnFI1n3TPPffEiBEjYvTo0bFqVW6b8U+bNi2+8IUvxPPPP584r02bNnHuuefmtBaap1kOUFAuvPDC6NChQ+KctWvXximnnBLnn39+1Ndv2oGUxYsXxwknnBAXX3xxxrl9+vSJUaNGbdI+FI+qqqq48MILE+fU1tbGl7/85XjiiSc2au0xY8bEWWedFXUZDn1cdNFFUVlZuVFrQ0sja5AOWYN0yBrknpxBOmQN0iFrtEb1q9bFI//9blxx5rNx7+8nx7Txy6KpqSlr66+uXxcP3zw1fvWNF2Lm5BUZ5x92+sDo1qfdJu9XbNcDLcERp/xHdOvdN3HOQ3/9c9w++qqN/gXs+rra+Nv1V8VDf/tLxrlHnnpmdOrWfaPWh5aibWVlnHTWOYlzGurr4nc//k689eIzG7X2Gy+Mjd/9+IJYneHsx8lfOTfa5unuhLRey99bEnf+4dq4+IsnxZ1/vC5mv/tO1tZ++81X49ffG5WxGdv7Tvna+dGupn3W9odCUrdqZTx465/ix2eNjDv+65qYOuHNrL6Paqiviwdu+WNc+c0zY8bbEzPOP+q0L0b3DK8vAeDTNNTXxehL/jPj68aaDp3i3Mt/Ez37bpFSZVBcZA2AYuXMCOSenEFmd911V+L4sGHDYujQoSlV8+mWL18e1157bYwYMSIuv/zyeOWVV7L6uUJtbW1cc801cdxxx21Q86xRo0bFFlt475kv5fkuIJNDDjkk3yXk3KRJk/JdAhSMXr16xc9+9rP45je/mXHuddddF3/729/inHPOibPOOiv69s38IfWkSZNi9OjRceONN2Z84fnhfdq3d+CEiCOPPDKOPfbYePDBB5uds3Llyhg1alQcc8wxMWrUqBg0aFCzc6dMmRLXX399PPTQQxn3Pu644+KII47YpLqhpZE1SIesQTpkDXJPziAdsgbpkDVaq7qV62LsfbNj7H2zo2O3ithxvx6xzfAuseV2HaO6Q5uNWquhbl1MG78sXn1iQYx7bmGsWd24QY8bvFPnGHHqgE2o/pOK7XooLu+Mez0Wzpm1UY9ZMGdm4vjqhvp49n8e2Ohatt5+5+jRt/9GP+7D2rStiC999yfxmwu/GevWrW123tiH7o03nh8bR5/+pdh1/0OiXU3zN3CpXbkiXn3mifjnbX+Olcvey1jDoGE7xWEjz9ik+ilexZa1XfY7ON448LB4+enHmp1TX7sq/uvy78euBxwaR532xejVf8tm586bOS0e/ttN8crYxzPuvftBh8fwfQ/alLIhK+pWrYwn7/tHPHnfP6JH3/6x/e77xLY77RoDh2wf1e2Tbwj2YcuXLonJr78cTz1w5wY17HjfgceNjF0PGLEppUOLUrtyRTz1wJ3x1AN3Rqeu3WP4vgfFkOG7x4Bth0VNh44btVZDXV1MnfBGvPTUY/HG8/+KNasbNuhx2+y4Sxxxyuc3pXxoUYrttSoUir/88pKYNmlcxnm77H9ITJs0PqZNGp9CVREdu3SN7XffJ5W9IA2yBunz+hHS48wI5J6cQfMmTZoU48cnv4c6+eSTU6oms2XLlsUtt9wSt9xyS/Ts2TOOOOKI2HfffWOnnXaKzp07b9Raq1atildeeSUeeOCBGDNmTNRnuNnL+/bcc8/4+te/vinlkyUlTdlslbQJvvSlL8XNN98cJSUln9q1qaSkJA9Vpe/j1/7+30dJSUmsX78+T1VB/px22mnx97//faMeM2jQoNh3332jb9++0aVLl6ipqYnly5fHe++9F9OnT4+xY8fGvHnzNmrN888/P6655pqNekxaPv7/j+PGjYthw4blqZrWo7a2NkaOHBnvvvvuBs0fOnRoDB8+PPr16xft2rWL2tramD17drz66qsb3Cxtq622ijvvvDOqq6s3p3RoUWQN0iFrkA5Zg9yTM0iHrEE6ZK31enDaqHyXkKq/XTUhXh6T+XObjt0qoke/dtG5Z1V06Nw22nVoE+VtSqO0rCRW16+L1XXro6FuXSxb1BBz310VS+bVx8Z+At57QE188+pdo6p60+81U2zXUyyOHTj6I1+PeWdRniopHP/9myvixccfzncZERHxH9/6Qex96NFZWWvsQ/fG7aOv2qC5pWVlMWjojtFnwKDo0LlLtKtpH3WrVsaKpe/F3OlTY+qEN6NxA89pdO3ZO7571X9Fh85dNqf8Fu/Qrbt/5GtZK86sNdTXxS+//dVYMHvGBs3vP2ibGDhk++jas3dUVFXF6vq6WLJgXkyd8FbMmTZlg9bo2W/L+N5v/hiVVe02p/SiIWvpufMP18aT99+ROKekpCQ6desRvfptGV169ooOnbtGu5r2Ud7mf5sj1q1aGbUrlsfK5ctixuTxsXDu7I2uY6e99o+zvn9ZlJV5XZcmWUvPhj5fdurWI3r27R9de/aODp27RHX7jlHepk2UlpVFQ11drK6vi4a6unhv0YKYM21KLJ4/Z6PvIttnwKD4zi+uj6rqmk29HDaSrOVPMb5WpXmylp4ffXlkvLdwfr7L+IStt985vvXz3+W7jKImZ+mStdZL1vLH68fW5eNZI33OjEDuyVnrsGjRoujRo8dHvrdw4cLo3t1zXXMuv/zyuOWWW5odr6ioiGeeeSY6dNjwm0lk20UXXRT33HNPxnm9evWKgQMHRt++faNbt27RuXPnaNOmTZSXl0dtbW3U1tbGqlWrYt68eTFp0qSYOXPmRn+usM0228Rf//rXaN++/aZeDllQ8J+i5rmXD5Anf/nLX2Lp0qXx6KOPbvBjpk6dGlOnTs1aDaeddlpcddWGHaik9aiuro4bb7wxzjjjjJg7d27G+RMmTIgJEyZs8n59+vSJG2+80RshWh1Zg3TIGqRD1iD35AzSIWuQDlmDj1q+eHUsX7w6IpbmZP0BQzvGWT/dKbXGMsV2PVAo9j/6xFi1fFk8eNufMs5tXL8+3nnrtXjnrdc2a89O3XrENy+9utU3yqH1qKxqF+dcenX8+sJvxtJFCzLOnzX17Zg19e1N3q9z955xzqVXa5RDwWpqaoqlixZsUB42xa77j4gzL/iRRjkQEcsWL4xlixfmbP2thu4Q3/jxLzTKAQAAAPLOmRHIPTmDT1qzZk088MADiXMOP/zwvDbK2Rjz58+P+fNz12h1l112iRtuuEGjnAJQmu8CMikpKWkVf4CPqqqqivvuuy9OP/30vOx/zjnnxK233hrl5Q6c8El9+vSJm266KbbYYouc7rPlllvGzTffHH369MnpPlCoZA3SIWuQDlmD3JMzSIesQTpkDXKvpCRi/xP6xTd+vku0a98m3+VstmK7HtgUR33ui3HiF78RJaW5PwrTe4uBccEvR0fPvrl9roZC06VHrzjvimujW+++Od2ne+9+cf6V10WXHr1yug8UotLSsjjhzK/Hly/8aZQ5twQ5VVJSEgcdNzLOu+LaaFfTMg74AwAAAMXPmRHIPTmDjxozZkwsW7Yscc7IkSPTKaaAlZSUxOc///m4+eabo2PHjvkuh2gBzXKamppaxR/gkyorK+O2226LG264IbUnjR49esTtt98ev/3tb6OsrCyVPWmZttxyy7jzzjtjv/32y8n6+++/f9xxxx05f8MFhU7WIB2yBumQNcg9OYN0yBqkQ9Ygd/psVRNn/3x4nPiNbaO8bcF/ZJ5RsV0PbI7DRp4R37zkqqjp0Clne+x92DHxvV//URMPWq0effrFhb/5Y2y3yx45WX/ornvG937zh+ie44Y8UIi23Hq7+N41f4rDT/l8vkuBotd34OA474pr45SvfyvatGmb73IAAAAAPsKZEcg9OYP/c+eddyaO9+/fP/bcc8+UqilMQ4YMiZtuuikuvvjiaNvW5wqFwq1HgIL39a9/PU444YS4/PLL489//nPU19dnfY8OHTrEN77xjbjooouiU6dOWV+f4tSxY8e48cYb45577olf/epXsWTJks1es2vXrvG9730vTjzxxM0vEIqErEE6ZA3SIWuQe3IG6ZA1SIesUcz2P7F/1HRsE5NeXhLzZ9SmsucWQzrEASf2j50O6BmlpSVZXbvYrgdasu122SN+/F9/jQdv/VM88/B90di4Pivr9h+0TZz81fNi6+13zsp60JK1q+kQ51z663jh8Yfj3r+MjpXLlm72mu07dY7PfGlU7DniqCxUCJun36BtoluvPrF4/txU9us/aJs44rNfiJ33OTBKSryuo/U4+PhToqZjp5jw8gsxb+a0VPYcsO3QOPj4z8Yu+x8SpaWajQIAAACFy5kRyD05g4i5c+fG888/nzjn5JNPLojPsL7whS9E586dY+zYsfHOO++ksudOO+0UZ555Zhx11FE+VyhAmuUALUKvXr3id7/7XfzkJz+J2267LW6//fZ46aWXorGxcZPXLC8vj3322SdOP/30OO2006Jjx45ZrJjW5DOf+UwcccQRcc8998Rtt90WU6dO3eg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66qrYb7/9/mOstrY2amtrY5dddolPf/rT8de//jWuuuqqmDNn4w9/a9eujYsvvjh+/etfR5cuXbb6zwF5p9YgPcuXrI5ffn9qNDcnP6CXl5fFfscNjKM/PTxqulb+x3i3ntXRrWd1DBzRNfY8rH80rFwbv7vvjXh2wvzEuaf8ZXH8+ZE5Meakbbf6zwJt1TaDhsSuex8QO++1bwzdflRUdezY6te8t2xp/OV3v4k/TRgX9SveazX+N7+4IwYMHRm7fPA/90goRc6PUDz2NciGWoP0qTPIhlqDdHgbgfSpMygeZ0goPPsaAABby10NCs9dDd5v+PDhccghh8SYMWPiAx/4QHTq1KnVr1m8eHH86le/ivvuuy+WL1/eavwPf/jD2GGHHeKggw4qQMb5061btzjyyCOLnUa7pVkOUHJuuOGGeOmllzY4Nnz48HjjjTcyzohS062mU5zwoT3j+AP2iFFDB2721/fp3i3OO+mIOOOYg+L6+38T4/70t8T4lpaWuPKusfHr73w5unVu/bAJbd3NN98c8+bNS4zZf//945ZbbomuXbtu0pwHHHBAjBs3Li644IJ47rnnNho3b968+NGPfhT/9V//tVk5Q1uk1iA9D90yPRpXJTfv7NSlIj737d1iyE61mzxvTdfKOPm8HWKPg/vFnVdMTlzjsXtmxS779Yme/ZwfaT86de4S+x5+TOx9yFGx7cgdNvvra3v2jmM/eVYcfvInYuwdt8QzfxifGN/S0hK//NF34xu33x81XTZtr4S2zPkRsmVfg2yoNUifOoNsqDVIn7cRSJ86g2w5Q0K67GuQP2VlZdGn/8Do1rN3zHxlcrHTgZKkzmDruatButzV4H+au5x00klxwgknxM4777zZX9+3b984//zz46yzzorrrrsuHnroocT4lpaW+PrXvx6PPfZYdOvWbUvTjkGDBsVrr722xV+/JRYuXBiHHHJINDc3bzTmuOOOi46b0NCOdJQXOwGAQpo1a1ZcddVVGxzbf//941Of+lS2CVFStt2mV1x55snxxM2Xx6WnHb9FjXL+VU11VXzrs3Vx7Tkfiw7lyVvykuUr467f/nGr1oO2YObMmfHLX/4yMWb33XeP22+/fZMfHf5Xt27d4sc//nGMHj06Me7++++PWbNmbdbc0NaoNUjP9L+/E9P/9k5iTJfayjjve3tsVqOcfzV0VG2c9709oktt5UZj1q5pjkd/8voWzQ9tTZ/+g+IT5381rrv30aj73IVb9A3if1XdsVOcduGl8ZmLvx7l5R0SY99b9k48PvaBrVoP2gLnR8iOfQ2yodYgfeoMsqHWIBveRiB96gyy4wwJ6bOvQT702qZ/7H7gIXHiGV+IC6+9Ob7/4MS48o4H49hPnlXs1KBkqDMoHHc1SJ+7Gu3dkCFD4uqrr44///nPcfnll29Ro5x/VVNTE9dcc01cf/310aFD8l6zZMmS+NnPfrZV6xXDww8/nNgoJyKirq4uo2zYEM1ygJLy+c9/PhobG//j9ysrK+OnP/1plJWVFSEr2rqh/XrHd8/9eIy//ivx0UP2iU7VVQWd/4QD94z/+vRHWo375ePPxKrG1QVdG/Lm1ltvjXXr1m10vHv37nHjjTdGp06dtmj+mpqauOmmmxK7kK5bty5uu+22LZof2gq1Bun5w/1vtBrz8S+PigHDt+7TFwYM7xqnXjIqMWbqc0vjrVff26p1IM/6Dhwcp3/5irjiJw/EgUefEFUF7si+z2Efjo+ee1GrcX+cMC4aG+oLujbkjfMjpM++BtlQa5A+dQbZUGuQLW8jkD51BulzhoTs2Ncge9179YkP7PuhOP7Tn4svfuuGuP6Xv42r73oozr7s23FE3Wmxwwf2jE6duxQ7TWjT1Bmkw10NsuOuRns1dOjQ+P73vx8TJ06MU089dYv/jm/MiSeeGN/4xjdajbv//vtj1apVBV07TS0tLfHwww8nxuy0005b3XSIraNZDlAyfv7zn8cTTzyxwbEvf/nLscsuu2ScEW1dr9ou8Y3TT4xHv3NJHLf/7tGhPL1t8+OH7RcfOWCPxJjGNU3xu+enpJYDFNvcuXPjD3/4Q2LMl770pejfv/9WrTNw4MC44IILEmN+97vfxdy5c7dqHcgrtQbpmTtjRbw1fUVizN5H9o+d9u5dkPVG7dM7Pnhkcq1OevDNgqwFedK1e8849bwvxzduvy/2PuTIKG+lE/3WGHPMSbHPoUcnxjStboyXnn4ytRyg2JwfIV32NciGWoP0qTPIhlqD7HkbgfSpM0iXMyRky74G2Tn4+Lo494rr4zv3/SauvfeROOcb34mjTz09Ru25T3TpVlvs9KAkqDNIj7saZMtdjfaoV69eceWVV8Zvf/vb+MhHPhIdUtxrPvnJT8aJJ56YGNPQ0BATJ05MLYdCe/7551ut1bq6uoyyYWM0ywFKwuLFi+MrX/nKBseGDx8eV1xxRcYZUQpOGvPB+Phh+0VFiofAf3XRxz4cnaoqE2OefHFqJrlAMTzwwAOxfv36jY4PHTo0Tj311IKs9clPfjIGDx680fH169fHL3/5y4KsBXmj1iA9Lz6xMHG8vENZHH36iIKu+eHPDI/yDmUbHX/1haWxZH5DQdeEYtvviGNjzDEnRYcOFZms95HTz42q6uRPa5ny3NOZ5ALF4PwI6bKvQTbUGqRPnUE21Bpkz9sIpE+dQbqcISFb9jXIzv5HHhe77n1AdOvRs9ipQMlSZ5AedzXIlrsa7dEpp5wSn/zkJ6OiIpu95pJLLolOnTolxkyaNCmTXAph7NixieNVVVVx/PHHZ5QNG6NZDlASLrjggnj33Xc3OHb77be3usFCHvTt0S0+vN9uiTEvvT47mpubs0kIMtTc3BwTJkxIjDn99NML1sG0oqIiPvOZzyTGTJgwQb1RctQapGvqc0sSx3fZr0/U9qou6Jq1vTvGzvv23uh4S0vE3ye9XdA1ob3p3qt37HXQ4YkxM6f+w35GSXJ+hNJjX4NsqDVInzqDbKg12jtvI5A+dQalxxmS9sy+BgBAXrmr0Z65q0E2ttlmmzj22GMTY/7+97+3ib/7K1eujMcffzwx5sgjj4za2tqMMmJjNMsB2rwJEybEr371qw2OnXrqqXHUUUdlnBFsuYN22ylxfFXjmljwzvJskoEMPffcc7FkycYbDFRXV8dHPvKRgq550kknRVVV1UbHFy9eHM8//3xB14RiU2uQnncXr45lC1cnxnzwiP6prL33kQMSx196cmG0tLSksja0F7t8cP/E8dUN9bFs8cKMsoHsOD9CabKvQTbUGqRPnUE21BrtmbcRSJ86g9LkDEl7ZV8DACDP3NVor9zVIDuHHHJI4viqVati/vz5GWWz5caPHx+rVyf/+6C6urqMsiGJZjlAm7Zy5cr4whe+sMGx7t27x0033ZRtQrCV9tphWKsx8xYvyyATyNaTTz6ZOH7wwQdHly5dCrpm165d40Mf+lBizFNPPVXQNaHY1BqkZ+7rKxLHy8oiho5Kp2v00FG1UVa28fFli1bH27NXpbI2tBcjd9mt1ZilCxeknwhkzPkRSpN9DbKh1iB96gyyodZoz7yNQPrUGZQmZ0jaK/saAAB55q5Ge+WuBtnZa6+9Wo2ZN29eBplsnXHjxiWODxw4MPbdd9+MsiGJZjlAm3bZZZdtdGP8zne+E/369cs4I9g6tV1qorKiQ2LMyobGjLKB7Dz77LOJ4wcddFAq6x588MGJ488880wq60KxqDVIz+K59YnjvQfWRE3XylTWrulaGb0H1CTGTH9Rw0XYGp27douKiuQabqzXlIrS4/wIpcm+BtlQa5A+dQbZUGu0Z95GIH3qDEqTMyTtlX0NAIA8c1ejvXJXg+x07949KiuT95oVK5I/qLrYXnvttXjllVcSY04++eQoS/rEazKjWQ7QZj3zzDPx4x//eINj++23X3z+85/POCMojB5dOyeOr25am1EmkI3FixfHzJkzE2P233//VNZubd4ZM2bEkiVLUlkbsqbWIF3vLl6dON5vSPIZb2tt08r8r7/4TqrrQ3vQuVtt4vjapjUZZQLZcH6E0mZfg2yoNUifOoNsqDXaI28jkD51BqXNGZL2xr4GAEBb4K5Ge+OuBtnr0aNH4vjq1cn/9qbYxo4dmzheXl4eJ598ckbZ0BrNcoA2qampKT73uc9FS0vLf4xVVFTET3/6U13ZaLNWr0luhlNdWZFRJpCNKVOmJI73798/+vfvn8ragwYNir59+ybG/POf/0xlbciaWoN01b+XfIbr1DndM1ynLsnzz3l9xQbvT8Cma1qT/DBfUVmVUSaQDedHKG32NciGWoP0qTPIhlqjPfI2AulTZ1DanCFpb+xrAAC0Be5qtDfuapC91prhVFdXZ5TJ5mtqaorf/OY3iTH7779/DBgwIKOMaI1mOUCbdO2118a0adM2OHbJJZfErrvumnFGUBj1jWtiZWPyYbBb55qMsoFsvPrqq4njo0aNSnX9nXfeOXF8Y/sNtDVqDdLVtGZ94ninrpWprl/TJXn+NQ3rY+n8xlRzgFK2uqEhVjfUJ8bUdOmaUTaQDedHKF32NciGWoP0qTPIhlqjvfI2AulTZ1C6nCFpj+xrAADknbsa7ZG7GmRr1apVsXLlysSY2trajLLZfE888UQsX748Maauri6bZNgkmuUAbc60adPiu9/97gbHhg4dGldeeWXGGUHhTJ+zIFpaWhJjBvftmVE2kI3WHh522GGHVNffcccdE8dbyw/aCrUG6Vq/PvkMV1mZ7hNMZVXr88+dsSLVHKCUzXtjRqt3tT79B2aUDWTD+RFKl30NsqHWIH3qDLKh1mivvI1A+tQZlC5nSNoj+xoAAHnnrkZ75K4G2Zo+fXrr/z568OCMstl8Y8eOTRzv3r17HHbYYRllw6bQLAdoU5qbm+Pss8+OpqamDY7ffvvtUVNTk3FWUDh/njw9cbxLp+ro36t7NslARt58883E8SFDhqS6/rbbbps4/tZbb6W6PmRFrUG6KlpphtPYsC7V9RvrW59/ybyGVHOAUvbK359JHO9Y0zl69Nkmo2wgG86PULrsa5ANtQbpU2eQDbVGe+VtBNKnzqB0OUPSHtnXAADIO3c12iN3NcjWH//4x8TxLl26xIABA7JJZjMtXLgwnnkmea884YQToqqqKqOM2BSa5QBtym233RbPPvvsBsc+9rGPxYc//OGMM4LCaW5ujt+/MCUxZvfth0V5ue2b0jJ//vzE8WI/PMybNy/V9SErag3SVVXdIXF89ap0m+U0rFrbasw7CxtTzQFKVXNzc7z09JOJMSNGjXZXo+Q4P0Jpsq9BNtQapE+dQTbUGu2ZtxFInzqD0uQMSXtlXwMAIM/c1Wiv3NUgO83NzTFx4sTEmD333DO3e824ceOiubk5Maauri6jbNhU+fzbBLABc+fOja9//esbHKutrY2bbrop24SgwJ58aVrMW7IsMeaQ3XfKKBvIxpIlS2L16tWJMdtsk25n6tbmb2xsjHfeeSfVHCBtag3S17VHcnfolcubUl2//r1NaJbztmY5sCWmPPd0vLPo7cSYXfc5IKNsIBvOj1C67GuQDbUG6VNnkA21RnvlbQTSp86gdDlD0h7Z1wAAyDt3NdojdzXI1hNPPNFqA6hDDz00o2w2T0tLSzzyyCOJMaNHj47tt98+o4zYVJrlAG3GeeedFytXrtzg2HXXXRf9+/fPOCMonPXNzXHbw48nxlRWdIij9h6dUUaQjcWLF7ca07t371Rz6NOnT6sxm5In5Jlag/R171OdOD5v5obvMoUyb8aKVmNWLFuTag5QiprXr4/fPnBXYkxFRWXscWA+H+5hSzk/Qmmyr0E21BqkT51BNtQa7Zm3EUifOoPS5AxJe2VfAwAgz9zVaK/c1SA769evj1tuuSUxprKyMo4++uiMMto8zz33XMydOzcxpq6uLqNs2Bya5QBtwoMPPhgTJkzY4Ng+++wT5557bsYZQWE99OTzMWPewsSYEw7cM2q71GSUEWRj+fLlieNdunSJqqqqVHPo2LFj1NQk11ZreULeqTVI3zbbdk4cb1ixNpbMb0hl7SXzGqJh5bpW4xpWrE1lfShlf/ndr2PBW28kxuxz2NHRuWu3jDKCbDg/Qmmyr0E21BqkT51BNtQa7Zm3EUifOoPS5AxJe2VfAwAgz9zVaK/c1SA7Dz74YLz++uuJMSeddFJ07949m4Q207hx4xLHO3XqFMcee2xG2bA5NMsBcm/ZsmXxpS99aYNjFRUVcccdd0R5uf87o+1asPTduPFXExNjKjp0iLOOPTibhCBD7733XuJ4ly5dMsmjtXU8PNDWqTVI36DtWv8G0WsvvpPK2q+9tGnzrm5YH+vXNaeSA5SidxYvjF/f85PEmA4VFXFE3acyygiy4/wIpce+BtlQa5A+dQbZUGu0d95GIH3qDEqPMyTtmX0NAIC8clejPXNXg2zMnz8/brjhhsSYysrK+NznPpdRRptn5cqV8fjjjyfGHH300Zn9fwabR3cJIPcuueSSWLx48QbHLr744hg9enTGGUHhNDc3x9d/9quoX70mMe7TRx0Y227TK6OsIDtt5eGhtTwh79QapK+2V3X0HtgpMea5xxaksvazj83f5NiGVetSyQFKTXNzc9x347WxurEhMe6Qj3ws+vQfmFFWkB3nRygt9jXIhlqD9KkzyIZaA28jkAV1BqXFGZL2zr4GAEAeuavR3rmrQfqam5vjsssui/r6+sS4z3zmM7HttttmlNXmGT9+fKxevToxpq6uLqNs2Fya5QC5NmnSpLj33ns3ODZkyJC46qqrsk0ICuy2hx+Pv736RmJMv561ce4Jh2WUEWRrzZrkRlEdO3bMJI9OnZKbG7SWJ+SdWoNs7LxPn8Txt99cFbOmvFvQNWf+Y1ksfDP5YfFfrWtqLuj6UKp++8BdMeOfLyfG9OjTNz788TOySQgy5vwIpcW+BtlQa5A+dQbZUGvgbQSyoM6gtDhD0t7Z1wAAyCN3Ndo7dzVI3y233BIvvPBCYkz//v3jvPPOyyijzTd27NjE8aFDh8Zee+2VUTZsLs1ygNxqaGiIz3/+8xsdv+2226KmpibDjKCw/vyP6fGz8U8lxpSVlcXVZ9dF507VGWUF2Vq7dm3ieEVFRSZ5tLZOa3lC3qk1yMYeh/ZrNWbcra8VrGHNuqbmePi21zbra9av0ywHWvPK356N3z90X2JMWVlZnHbhf0VH7xKUKOdHKB32NciGWoP0qTPIhlqD/+FtBNKnzqB0OEOCfQ0AgPxxVwN3NUjbn/70p/jpT3+aGFNWVhbXXnttdOnSJaOsNs/06dNj6tSpiTGnnHJKRtmwJTTLAXLriiuuiDfeeGODY3V1dXHsscdmnBEUzqz5i+Jrt/8ymltaEuM+cfh+sf8u22eUFWSvtQt9hw4dMsmjtXU8PNDWqTXIxqCRXWPbHbslxiyaUx+P3TOrIOs9ds+sWDSnYbO+Zt1azXIgydtzZsfd378qWpqTa2XMcafETrt/MKOsIHvOj1Aa7GuQDbUG6VNnkA21Bv+PtxFInzqD0uAMCf/DvgYAQJ64q8H/cFeD9MycOTMuueSSaG5lr/nUpz4VBxxwQEZZbb6xY8cmjldUVMSJJ56YTTJsEc1ygFx68cUX46abbtrgWLdu3eLmm2/ONiEooGUrVsUXb7wnVjWuSYzbZfig+OonNIWitLV2IcrLw8P69eszyQPSotYgO0d9anirMX96eE48/sDsrVrn8Qdmx58enrPZX9eiVw5s1Mr33o2fXH1prG6oT4wbst1OcfJZX8woKygO50do++xrkA21BulTZ5ANtQbv520E0qfOoO1zhoT/x74GAEBeuKvB/+OuBulYtmxZnHvuubFq1arEuF133TW+9rWvZZTV5mtqaorx48cnxowZMyb69u2bUUZsCc1ygNxZt25dnH322Rs95F133XUxYMCAjLOCwmhY0xTn33hPzFu8LDGue5ea+OH5n4rKioqMMoPiqGjl7/i6desyyaO1dSorKzPJA9Ki1iA7O+7VK7bfo2ercb+7740Yd+v0WN2wefW3umFdjLt1evzuvje2KL+KSk9BsCFrVjfGT66+NJYuXJAY17lbbXz2v74dFfYsSpzzI7Rt9jXIhlqD9KkzyIZag//kbQTSp86gbXOGhPezrwEAkAfuavB+7mpQeA0NDXHuuefG3LlzE+O6d+8eN998c1RVVWWU2eabNGlSLF++PDGmrq4um2TYYv6FFJA7P/jBD2Ly5MkbHNt7773jC1/4QrYJQYGsXbcuLr7lvpgyK/kg2LGqMn508ekxoHePjDKD4mntQp9Vd1wPD5Q6tQbZ+tjFO0XHzq03PXxmwvz47mefjWcfmx8NK9cmxjasXBvPPvY/8c9MmL/BmPIOZa2uWVHlKQj+3bq1a+Nn13093nxtWmJcZXV1nPvN70avvv0yygyKx/kR2i77GmRDrUH61BlkQ63BhnkbgfSpM2i7nCHhP9nXAAAoNnc1+E/ualBYTU1NccEFF8Q//vGPxLiOHTvGj3/84xg4cGBGmW2ZcePGJY736dMnDjrooIyyYUu1/i+3ADI0c+bMuPrqqzc4VlFRET/96U+jvNw/7qTtaW5ujst+8n/ir/98PTGuokOH+OEFn4rdtxuaTWJQZK116V27NrlxQKF4eKDUqTXIVo8+HeO0r+0cP//WP6KlOTl25btNMfaW6fHwba/FsJ1ro//QLtG1Z3XUdKmIhlXrYuWyNfH2m6ti9tT3onl9S+Jch318aDz+wOzEGM1y4P2am5vj3h9+O1596YXEuA4VFXH2ZdfE8J12zSgzKC7nR2ib7GuQDbUG6VNnkA21BhvnbQTSp86gbXKGhA2zrwEAUEzuarBh7mpQOM3NzfG1r30t/vKXvyTGVVZWxi233BJ77LFHRpltmbfffjueeeaZxJgTTzyx1f8fofj8LwTkyjnnnBONjY0bHPvSl74Uu+22W7YJpWzx4sWxZMmSYqdBylpaWuKqux+O378wJTGuvKwsrvv8x2LMB3bMKDMovpqamsTx+vr6TPJYtWpV4nhreULeqTXI3qh9escpX9whxt36WrQk97iJiIjm9S0xa8rymDVl+Ratt/eR/WP3g7ZJbJZTVhZR08VTEPyvlpaW+O9bvxcvPf1kYlxZeXl85uJvxC4f3C+jzKD4nB+h7bGvQTbUGqRPnUE21Bok8zYC6VNn0PY4Q8LG2dcAACgWdzXYOHc1KIyWlpb45je/GRMnTkyMKy8vj+uvvz4OOuigjDLbcuPGjYvm5uRPxj7llFMyyoat4V9IAblx1113xVNPPbXBsSFDhsS3vvWtjDNK3+23316Sfy7e73u/nBAP/+lvrcZdccZJccy+u6WfEORI9+7dE8ezenhobZ3a2tpM8oC0qDUojv2OHRSV1R3iVze9GuvXbULHnC20xyH94qMX7RRvTlueGFfTrTI6VJSnlge0NePu/FE884cJrcZ94ryvxF4HHZ5BRpAfzo/Q9tjXIBtqDdKnziAbag2SeRuB9KkzaHucIWHj7GsAABSLuxpsnLsaFMZ3vvOdGDt2bKtx3/rWt+LYY4/NIKOt09LSEo888khizF577RXDhg3LKCO2hmY5QC4sWrQovvrVr250/NZbb43OnTtnmBEUxi1jfx/3/f4vrcZ99RPHRt0h+2SQEeRLaw8PK1asyCSPlStXJo63lifknVqD4tnr8P7Rd3BN3PedV2LZwtUFnbusPOLI04bFEZ8cFmVlZfHuouT5u/WoLuj60JaNv++OeOrXv2o17uTPnh8HHP2RDDKCfHF+hLbFvgbZUGuQPnUG2VBr0DpvI5A+dQZtizMkJLOvAQBQDO5qkMxdDbbejTfeGPfee2+rcZdddll87GMfyyCjrffcc8/FvHnzEmPq6uoyyoat5ePEgVw4//zz4913393g2CmnnBLHHXdcxhnB1rtrwh/jjt882WrcF08+Ik7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      "text/plain": [
       "<Figure size 5400x5400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heatmap preparation\n",
    "compare_mapping_genes['value']=1\n",
    "compare_mapping_genes_stratify = compare_mapping_genes.pivot_table(columns='GF_size_Roary',index='GF_size_pandelos',values='value',aggfunc='sum').fillna(0)\n",
    "compare_mapping_genes_stratify_T = compare_mapping_genes_stratify.T\n",
    "\n",
    "#add marginal sums\n",
    "compare_mapping_genes_stratify_T['Total'] = compare_mapping_genes_stratify_T.sum(axis=1)\n",
    "\n",
    "\n",
    "#add marginalized and revert roary order\n",
    "marginal=compare_mapping_genes_stratify_T.sum(axis=0)\n",
    "marginal.name='Total'\n",
    "compare_mapping_genes_stratify_T=compare_mapping_genes_stratify_T.append(marginal,ignore_index=False)\n",
    "compare_mapping_genes_stratify_T=compare_mapping_genes_stratify_T.reindex(['Total']+list(reversed(range(1,len(names_df)+1))))\n",
    "\n",
    "compare_mapping_genes_stratify_discrete = compare_mapping_genes_stratify_T.copy()\n",
    "\n",
    "for i in compare_mapping_genes_stratify_T.index:\n",
    "    for j in compare_mapping_genes_stratify_T.columns:\n",
    "        if i == 'Total' or j == 'Total' or compare_mapping_genes_stratify_T.loc[i,j] == 0.0:\n",
    "            compare_mapping_genes_stratify_discrete.loc[i,j] = 0\n",
    "        elif i == j:\n",
    "            compare_mapping_genes_stratify_discrete.loc[i,j] = 3\n",
    "        elif i < j:\n",
    "            compare_mapping_genes_stratify_discrete.loc[i,j] = 2\n",
    "        else:\n",
    "            compare_mapping_genes_stratify_discrete.loc[i,j] = 1\n",
    "\n",
    "compare_mapping_genes_stratify_discrete['Total']['Total'] = 4\n",
    "fig = plt.figure(figsize=(len(names_df),len(names_df))) \n",
    "ax = plt.axes()\n",
    "\n",
    "qualitative_colors = sns.color_palette(\"Set3\", 10)\n",
    "other_pal=sns.color_palette(\"RdBu\", 10)\n",
    "pastels=[other_pal[3],other_pal[6],qualitative_colors[6]]\n",
    "l=['white']\n",
    "for x in pastels:\n",
    "    l.append(x)\n",
    "cmaps=ListedColormap(l)\n",
    "\n",
    "ax = sns.heatmap(compare_mapping_genes_stratify_discrete,mask=compare_mapping_genes_stratify_discrete!=4, annot=False, annot_kws={\"fontsize\":20,\"color\":\"white\"}, square=True,  cbar=False, cmap=ListedColormap(['white']),linewidth=0.5,ax=ax,linecolor='white')\n",
    "ax = sns.heatmap(compare_mapping_genes_stratify_discrete, mask=compare_mapping_genes_stratify_discrete==4, linewidth = 0.5, linecolor='white' , annot = compare_mapping_genes_stratify_T.astype(int), annot_kws={\"size\":20},cmap=cmaps, cbar=False, fmt=\"d\",square=True,ax=ax)\n",
    "\n",
    "\n",
    "plt.yticks(rotation=0,fontsize=20)\n",
    "plt.xticks(rotation=0,fontsize=20)\n",
    "plt.ylabel('Diffusivity in Roary',fontsize=24)\n",
    "plt.xlabel('Diffusivity in PanDelos-frags',fontsize=24)\n",
    "plt.title('Gene families comparison in '+pretty_species,fontsize=24)\n",
    "\n",
    "ax.axhline(y=1, color='k',linewidth=1)\n",
    "ax.axhline(y=len(names_df)+1, color='k',linewidth=2)\n",
    "ax.axvline(x=0, color='k',linewidth=2)\n",
    "ax.axvline(x=len(names_df), color='k',linewidth=1)\n",
    "#plt.savefig(figdir+'/'+species+'_HEATMAP.svg', dpi=300,bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5518d327",
   "metadata": {},
   "source": [
    "# Functional analysis preparation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "75419b21",
   "metadata": {},
   "source": [
    "Prepare for Diamond blastX: \n",
    "For each GF where one tool is greater than the other, check the genes that correspond across tools in the same GF and the ones that don't. For all of them run blastx. \n",
    "Steps:\n",
    "1) create fasta files, ones for each GF\n",
    "2) read them and map with blastx\n",
    "3) split into mapping and mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "6137c313",
   "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>GF_size_pandelos</th>\n",
       "      <th>GF_size_Roary</th>\n",
       "      <th>Flag</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>group_319</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>group_273</td>\n",
       "      <td>28</td>\n",
       "      <td>26</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>group_5070</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>group_2308</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>group_3038</td>\n",
       "      <td>22</td>\n",
       "      <td>18</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4330</th>\n",
       "      <td>group_4273</td>\n",
       "      <td>24</td>\n",
       "      <td>17</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4331</th>\n",
       "      <td>group_6097</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4332</th>\n",
       "      <td>group_6260</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4333</th>\n",
       "      <td>group_3941</td>\n",
       "      <td>24</td>\n",
       "      <td>18</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4334</th>\n",
       "      <td>group_2778</td>\n",
       "      <td>26</td>\n",
       "      <td>24</td>\n",
       "      <td>&gt;</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4335 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            gene  GF_size_pandelos  GF_size_Roary Flag  value\n",
       "0      group_319                11              9    >      1\n",
       "1      group_273                28             26    >      1\n",
       "2     group_5070                28              7    >      1\n",
       "3     group_2308                19              8    >      1\n",
       "4     group_3038                22             18    >      1\n",
       "...          ...               ...            ...  ...    ...\n",
       "4330  group_4273                24             17    >      1\n",
       "4331  group_6097                22             17    >      1\n",
       "4332  group_6260                21             10    >      1\n",
       "4333  group_3941                24             18    >      1\n",
       "4334  group_2778                26             24    >      1\n",
       "\n",
       "[4335 rows x 5 columns]"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compare_mapping_genes"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "bc7aff65",
   "metadata": {},
   "source": [
    "### GFs greater in PanDelos-frags than in Roary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "f9661768-9e94-488a-b3bd-2a8537715a09",
   "metadata": {},
   "outputs": [],
   "source": [
    "# detect genes of interest\n",
    "genes_pandelos_1 = np.array(compare_mapping_genes[(compare_mapping_genes['Flag'] == '>')]['gene']) \n",
    "# dictionary mapping pandelos gene as specific/unspecific\n",
    "pandelos_specific = dict()\n",
    "for g in genes_pandelos_1 :\n",
    "    pandelos_genomes_in_g = [f.split(':')[0] for f in joined[joined['Gene']==g]['Family'].values[0]]\n",
    "    pandelos_genes_in_g = [f for f in joined[joined['Gene']==g]['Family'].values[0]]\n",
    "    roary_genomes_in_g = [f.split('_')[0] for f in joined[joined['Gene']==g]['Family_b'].values[0]]\n",
    "    roary_genomes_in_g_pandelostranslated = [names_df[names_df['roary_name']==p]['pandelos_name'].values[0] for p in roary_genomes_in_g]\n",
    "    dict_add = {pandelos_genes_in_g[i]:not (p in roary_genomes_in_g_pandelostranslated) for i,p in enumerate(pandelos_genomes_in_g)}\n",
    "    pandelos_specific.update(dict_add)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "f7aae65d-535a-4655-b58a-aa39b6d0196a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get fasta\n",
    "df_pandelos_1 = joined[joined['Gene'].isin(genes_pandelos_1)]\n",
    "frag_dir = delosdir+'/output/fragmented_coordinates/'\n",
    "records_pan = {}\n",
    "for d in os.listdir(frag_dir):\n",
    "    with open(frag_dir+d+'/'+\"coordinates_frag.sam\") as f:\n",
    "        lines = f.readlines()\n",
    "        for l in lines:\n",
    "            if l.startswith('@'):\n",
    "                continue\n",
    "            l = l.split('\\t')\n",
    "            name = l[0]\n",
    "            seq = l[9]\n",
    "            records_pan[name] = seq\n",
    "\n",
    "# also for reference genes\n",
    "ref_pandelos= {}\n",
    "with open(delosdir+'/output/complete/'+ref_genome+'/gene_sequences.fna') as ref_file: \n",
    "    lines = ref_file.readlines()\n",
    "    for l in lines:\n",
    "        if l.startswith('>'):\n",
    "            name = l.split('\\t')[1]\n",
    "        else:\n",
    "            seq = l.strip()\n",
    "        \n",
    "        ref_pandelos[name] = seq\n",
    "records_pan.update(ref_pandelos)\n",
    "\n",
    "#write down GFs to a file each\n",
    "for r in df_pandelos_1.index:\n",
    "    gene = df_pandelos_1.loc[r,'Gene']\n",
    "    #ID = df_pandelos_1.loc[r,'ID']\n",
    "    genome_with_families = df_pandelos_1.loc[r,'Family'] \n",
    "\n",
    "    with open(GF_dir+'/fasta/'+gene+'.fa','w') as f:\n",
    "        for g in genome_with_families:\n",
    "            if g in pandelos_specific:\n",
    "                if pandelos_specific[g]:\n",
    "                    g_lab = g +'_PANSPECIFIC'\n",
    "                else:\n",
    "                    g_lab = g +'_GENERAL'\n",
    "                f.write('>'+g_lab+'\\n')\n",
    "                f.write(str(records_pan[g])+'\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "2f706842",
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess\n",
    "faa_reference = prokkadir+'/prokka_'+ref_genome+'/*.faa'\n",
    "ret=subprocess.call(['bash',basedir+\"/analysis_scripts/run_diamond.sh\",species,faa_reference],stdout=subprocess.DEVNULL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "60ed41ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matching function: 2202\n",
      "Unmatching function: 237\n",
      "Protein unmapped: 0\n",
      "Percentage Matching: 90.28290282902829\n",
      "Percentage Other: 9.71709717097171\n"
     ]
    }
   ],
   "source": [
    "# Read in the results\n",
    "files=os.listdir(diamond_directory)\n",
    "\n",
    "count = 0\n",
    "empty = 0\n",
    "div = 0\n",
    "df_gfs_l = []\n",
    "for f in files:\n",
    "    delos2uniprot = dict()\n",
    "    delos2scores = dict()\n",
    "    \n",
    "    try:\n",
    "        pandas_df = pd.read_csv(diamond_directory+f,sep='\\t',header=None)\n",
    "    except:\n",
    "        empty += 1\n",
    "        df_gfs_l.append({'GFs':f.split('.')[0],\n",
    "                     'mapping_Dim':0,\n",
    "                     'Pan':0,\n",
    "                     'Pan_prots':0,\n",
    "                     'Pan_prot':0,\n",
    "                     'Gen':0,\n",
    "                     'Gen_prots':0,\n",
    "                     'Gen_prot':0,\n",
    "                     'Same':False})\n",
    "        continue\n",
    "    \n",
    "    set_genes = set()\n",
    "    for r in pandas_df.index:\n",
    "        pandelos_gene = pandas_df.iloc[r,0]\n",
    "        set_genes.add(pandelos_gene)\n",
    "        uniprot_gene = pandas_df.iloc[r,1]\n",
    "\n",
    "        score = pandas_df.iloc[r,2]\n",
    "        if pandelos_gene in delos2scores:\n",
    "            if delos2scores[pandelos_gene] > score:\n",
    "                continue\n",
    "            else:\n",
    "                delos2scores[pandelos_gene] = score\n",
    "                delos2uniprot[pandelos_gene] = uniprot_gene\n",
    "        else:\n",
    "            delos2uniprot[pandelos_gene] = uniprot_gene\n",
    "            delos2scores[pandelos_gene] = score\n",
    "            \n",
    "    missing_map = set_genes - set(delos2uniprot.keys()) \n",
    "    if len(missing_map) >0 :\n",
    "        print('missing: ',missing_map)\n",
    "    \n",
    "    r = re.compile(\".*PANSPECIFIC\")\n",
    "    matching_gene = list(filter(r.match, delos2uniprot.keys()))\n",
    "    panspecific_uniprot = [delos2uniprot[u] for u in matching_gene]\n",
    " \n",
    "    r = re.compile(\".*GENERAL\")\n",
    "    unmatching_gene = list(filter(r.match, delos2uniprot.keys()))\n",
    "    general_uniprot = [delos2uniprot[u] for u in unmatching_gene]\n",
    "    \n",
    "    if len(general_uniprot) > 0:\n",
    "        max_gen = max(Counter(general_uniprot))\n",
    "    else:\n",
    "        max_gen = 0\n",
    "    if len(panspecific_uniprot) > 0:\n",
    "        max_pan = max(Counter(panspecific_uniprot))\n",
    "    else:\n",
    "        max_pan = 0 \n",
    "     \n",
    "    flag = max_pan == max_gen\n",
    "    if flag:\n",
    "        count += 1\n",
    "    else:         \n",
    "        div += 1\n",
    "        \n",
    "    df_gfs_l.append({'GFs':f.split('.')[0],\n",
    "                     'mapping_Dim':len(set_genes),\n",
    "                     'Pan':len(panspecific_uniprot),\n",
    "                     'Pan_prots':panspecific_uniprot,\n",
    "                     'Pan_prot':max_pan,\n",
    "                     'Gen':len(general_uniprot),\n",
    "                     'Gen_prots':general_uniprot,\n",
    "                     'Gen_prot':max_gen,\n",
    "                     'Same':flag})\n",
    "\n",
    "fun_greater=pd.DataFrame(df_gfs_l)\n",
    "\n",
    "print('Matching function:',count)\n",
    "print('Unmatching function:', div)\n",
    "print('Protein unmapped:', empty)\n",
    "\n",
    "matching = (count*100)/(div+empty+count)\n",
    "other=((div+empty)*100)/(div+empty+count)\n",
    "print('Percentage Matching:',matching)\n",
    "print('Percentage Other:', other)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9ac35ac9",
   "metadata": {},
   "source": [
    "### GFs greater in Roary than in PanDelos-frags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "39ae5d67",
   "metadata": {},
   "outputs": [],
   "source": [
    "#detect gens of interest\n",
    "genes_roary = np.array(compare_mapping_genes[(compare_mapping_genes['Flag'] == '<')]['gene']) \n",
    "# dictionary mapping roary genes as specific/unspecific\n",
    "roary_specific = dict()\n",
    "for g in genes_roary :\n",
    "    roary_genomes_in_g = [f.split('_')[0] for f in joined[joined['Gene']==g]['Family_b'].values[0]]\n",
    "    roary_genes_in_g = [f for f in joined[joined['Gene']==g]['Family_b'].values[0]]\n",
    "    pandelos_genomes_in_g = [f.split(':')[0] for f in joined[joined['Gene']==g]['Family'].values[0]]\n",
    "    pandelos_genomes_in_g_roarytranslated = [names_df[names_df['pandelos_name']==p]['roary_name'].values[0] for p in pandelos_genomes_in_g]\n",
    "    dict_add = {roary_genes_in_g[i]:not (p in pandelos_genomes_in_g_roarytranslated) for i,p in enumerate(roary_genomes_in_g)}\n",
    "    roary_specific.update(dict_add)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "b52be47e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prokka_BackhedF_2015__SID179_4M__bin.23.fa.gff\n",
      "prokka_XieH_2016__YSZC12003_37322__bin.23.fa.gff\n",
      "prokka_LeChatelierE_2013__MH0274__bin.42.fa.gff\n",
      "prokka_HMP_2012__SRS016095__bin.41.fa.gff\n",
      "prokka_YuJ_2015__SZAXPI015232-18__bin.18.fa.gff\n",
      "prokka_QinN_2014__LD-24__bin.22.fa.gff\n",
      "prokka_XieH_2016__YSZC12003_36057__bin.83.fa.gff\n",
      "prokka_Bengtsson-PalmeJ_2015__TRAVELRES52__bin.52.fa.gff\n",
      "prokka_BackhedF_2015__SID203_B__bin.4.fa.gff\n",
      "prokka_HeQ_2017__SZAXPI029486-84__bin.10.fa.gff\n",
      "prokka_CosteaPI_2017__daisy-11-388-0__bin.53.fa.gff\n",
      "prokka_Bengtsson-PalmeJ_2015__TRAVELRES54__bin.8.fa.gff\n",
      "prokka_GCF_019930665.1_ASM1993066v1_genomic.fna.gff\n",
      "prokka_LeChatelierE_2013__MH0239__bin.61.fa.gff\n",
      "prokka_CosteaPI_2017__alien-11-881-0__bin.18.fa.gff\n",
      "prokka_ZellerG_2014__CCIS33816588ST-4-0__bin.69.fa.gff\n",
      "prokka_GeversD_2014__SKBSTL034__bin.76.fa.gff\n",
      "prokka_CosteaPI_2017__alien-11-918-0__bin.21.fa.gff\n",
      "prokka_CosteaPI_2017__daisy-11-392-0__bin.21.fa.gff\n",
      "prokka_BackhedF_2015__SID511_4M__bin.19.fa.gff\n",
      "prokka_BackhedF_2015__SID511_12M__bin.10.fa.gff\n",
      "prokka_VogtmannE_2016__MMRS68910755ST-27-0-0__bin.37.fa.gff\n",
      "prokka_CosteaPI_2017__daisy-11-389-0__bin.17.fa.gff\n",
      "prokka_HeQ_2017__RSZAXPI003102-140__bin.17.fa.gff\n",
      "prokka_WenC_2017__RA050__bin.36.fa.gff\n",
      "prokka_YuJ_2015__SZAXPI017464-37__bin.10.fa.gff\n",
      "prokka_CosteaPI_2017__alien-11-895-0__bin.9.fa.gff\n",
      "prokka_BackhedF_2015__SID582_12M__bin.15.fa.gff\n",
      "prokka_LeChatelierE_2013__MH0302__bin.44.fa.gff\n"
     ]
    }
   ],
   "source": [
    "# Read in annotations\n",
    "gene2function = dict()\n",
    "\n",
    "for f in os.listdir(prokkadir+'/prokka_gffs'):\n",
    "    with open(prokkadir+'/prokka_gffs/'+f,'r') as file:\n",
    "        lines = file.readlines()\n",
    "        for l in lines:\n",
    "            if l.startswith('#'):\n",
    "                continue\n",
    "            elif l.startswith('>'):\n",
    "                break\n",
    "            else:\n",
    "                l = l.split('\\t')[8]\n",
    "                l = l.split(';')\n",
    "                if l[0].startswith('ID'):\n",
    "                    ID = l[0].split('=')[1]\n",
    "                    product = [single for single in l if single.startswith('product')]\n",
    "                    if len(product)>0:\n",
    "                        product = product[0].split('=')[1]\n",
    "                    else:\n",
    "                        product='empty'\n",
    "\n",
    "                    gene2function[ID]=product.rstrip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "12e5d390",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TonB-dependent receptor P3\n",
      "hypothetical protein\n",
      "hypothetical protein\n",
      "N-acetyl-alpha-D-glucosaminyl-diphospho-ditrans%2Coctacis-undecaprenol 4-epimerase\n",
      "Glucose-1-phosphate thymidylyltransferase 2\n",
      "Glucose-1-phosphate thymidylyltransferase\n",
      "hypothetical protein\n",
      "Transcription antitermination protein RfaH\n",
      "Multidrug resistance protein MdtH\n",
      "hypothetical protein\n",
      "Efflux pump periplasmic linker BepF\n",
      "Solvent efflux pump periplasmic linker SrpA\n"
     ]
    }
   ],
   "source": [
    "# Extract results\n",
    "equal = 0\n",
    "diff = 0\n",
    "gene2equal = dict()\n",
    "for genes in genes_roary:\n",
    "    fam = joined.loc[joined['Gene']==genes,'Family_b'].values[0]\n",
    "    roary_funs = []\n",
    "    generic_funs=[]\n",
    "\n",
    "    for g in fam:\n",
    "        f = gene2function[g]\n",
    "        if roary_specific[g]==True:\n",
    "            roary_funs.append(f)\n",
    "        else:\n",
    "            generic_funs.append(f)\n",
    "\n",
    "    max_roa = max(Counter(roary_funs))\n",
    "    max_gen = max(Counter(generic_funs))\n",
    "\n",
    "    if max_roa == max_gen:\n",
    "        equal +=1\n",
    "        gene2equal[genes]='Green'\n",
    "    else:\n",
    "        print(max_roa)\n",
    "        print(max_gen)\n",
    "        diff +=1\n",
    "        gene2equal[genes]='Red'\n",
    "        \n",
    "equal_p = equal/(equal+diff)\n",
    "diff_p=diff/(equal+diff)\n",
    "print('Matching:',equal_p)\n",
    "print('Other:',diff_p)"
   ]
  }
 ],
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