investigating_tr_variation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2 \n",
    "\n",
    "## Investigating patterns of TR variation\n",
    "\n",
    "This section focuses on Use case 1 described in the paper on investigating TR heterozygosity and allele distribution.\n",
    "\n",
    "Code used in this notebook is adapted from the codebase that is available here https://github.com/gymreklab/1000Genomes-TR-Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "# required software\n",
    "!bash check_software.sh bcftools statSTR | grep \"NOT installed\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "# directory for output\n",
    "!mkdir downstream"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chr1\t77887913\t3\tAAG\n",
      "chr4\t3074877\t3\tAGC\n",
      "chr4\t3074940\t3\tCCG\n",
      "chr11\t57528484\t2\tAT\n",
      "chr14\t64253561\t2\tAC\n",
      "chr17\t51831668\t3\tAGC\n",
      "chr21\t43776443\t12\tCCCCGCCCCGCG\n"
     ]
    }
   ],
   "source": [
    "# get chrom,pos,period and repeat unit\n",
    "!bcftools query -f\"%CHROM\\t%POS\\t%INFO/PERIOD\\t%INFO/RU\\n\" output/ensembletr_output/ensembletr_sorted.vcf.gz > downstream/motif_info.tab\n",
    "!cat downstream/motif_info.tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "# import libraries\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "from matplotlib.gridspec import GridSpec\n",
    "matplotlib.rcParams['pdf.fonttype'] = 42\n",
    "matplotlib.rcParams['ps.fonttype'] = 42\n",
    "\n",
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import scipy.stats\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of the fraction of non-reference alleles in individuals by super population"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the cell below variants from each population to a Python script that counts the number of reference  and non-reference alleles for each sample. It returns a file with three columns sample, reference allele count and non-reference count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<class 'int'>, {'HG03073': 2, 'HG02343': 2, 'NA18523': 2, 'NA19247': 3, 'HG02851': 3, 'NA20357': 1, 'NA19455': 1, 'HG03209': 2, 'HG03190': 1, 'HG03291': 1, 'HG02554': 2, 'NA20332': 1, 'NA20296': 1, 'HG02481': 2, 'HG02095': 1, 'HG03115': 2, 'HG02484': 1, 'HG02108': 2, 'HG02595': 1, 'NA19153': 3, 'HG03040': 1, 'HG02439': 1, 'NA20351': 1, 'HG02757': 1, 'NA19312': 1, 'HG02322': 2, 'NA19159': 1, 'HG03436': 2, 'HG03539': 2, 'NA19332': 1, 'HG03432': 2, 'NA19256': 1, 'HG03458': 1, 'NA20287': 1})\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<class 'int'>, {'NA12144': 4, 'HG00233': 1, 'HG00155': 2, 'NA20762': 2, 'NA20522': 2, 'HG00262': 2, 'HG01507': 2, 'HG01768': 2, 'HG00284': 2, 'HG00242': 2, 'HG01632': 3, 'HG00237': 4, 'HG00136': 2, 'HG01777': 5, 'HG00353': 2, 'HG00108': 4, 'HG00306': 3, 'NA10851': 1, 'NA12414': 2, 'HG01668': 4, 'NA20519': 2, 'HG02232': 3, 'HG00142': 2, 'NA12155': 2, 'NA12760': 2, 'HG00349': 1, 'HG00111': 1, 'NA20510': 2, 'NA20534': 2, 'NA07347': 3, 'HG00379': 1, 'HG01770': 3, 'HG02238': 1, 'NA12828': 2, 'NA20760': 2, 'HG00260': 2, 'HG00336': 4, 'HG02236': 3, 'NA12762': 3, 'NA12058': 2, 'HG01767': 2, 'HG01678': 2, 'HG00334': 1, 'NA20767': 1, 'HG00304': 1, 'HG00313': 1, 'HG00133': 1, 'HG00157': 1})\n",
      "defaultdict(<class 'int'>, {'NA18749': 4, 'HG02396': 2, 'NA18945': 3, 'NA18539': 1, 'NA18609': 1, 'HG01873': 2, 'HG00437': 2, 'HG00513': 2, 'HG02394': 2, 'NA18571': 2, 'NA18748': 3, 'NA19011': 1, 'NA19075': 2, 'NA18537': 2, 'HG02390': 2, 'HG02122': 2, 'NA18636': 1, 'HG00500': 2, 'HG00663': 1, 'NA18547': 1, 'NA18642': 3, 'HG01870': 2, 'HG02023': 1, 'HG01598': 2, 'NA18961': 1, 'HG02017': 3, 'HG00698': 2, 'NA18980': 1, 'NA18979': 1, 'HG02407': 1, 'NA18622': 2, 'HG00690': 2, 'NA18573': 2, 'HG00651': 2, 'HG00707': 1, 'HG00610': 1, 'NA18982': 3, 'HG02380': 2, 'HG02121': 3, 'NA19007': 1, 'HG01855': 1})\n",
      "defaultdict(<class 'int'>, {'HG03894': 2, 'HG03971': 2, 'HG03631': 4, 'HG03920': 2, 'NA20905': 1, 'NA20910': 2, 'HG04014': 1, 'NA21118': 1, 'HG02793': 2, 'HG03770': 2, 'HG03868': 1, 'NA21112': 2, 'HG03615': 2, 'HG03738': 2, 'HG03917': 1, 'HG04039': 3, 'HG02790': 2, 'HG03743': 1, 'HG03815': 1, 'HG03787': 1, 'HG02651': 1, 'HG03781': 2, 'HG03882': 2, 'HG03643': 1, 'HG03663': 1, 'HG03916': 1, 'HG04080': 1, 'HG02601': 2, 'HG04227': 2, 'HG04153': 3, 'NA21088': 2, 'HG03856': 1, 'HG03866': 2, 'NA21126': 2, 'HG03905': 4, 'HG03685': 2, 'HG04140': 3, 'HG03885': 2, 'HG03895': 3, 'HG03995': 1, 'HG03706': 3, 'HG04195': 2, 'NA21115': 2, 'HG04001': 1, 'HG03773': 3, 'HG03022': 1, 'NA21133': 1, 'HG03646': 1})\n",
      "defaultdict(<class 'int'>, {'HG01378': 3, 'HG01372': 4, 'HG01271': 2, 'HG01455': 2, 'HG02278': 1, 'NA19770': 1, 'HG01280': 1, 'NA19740': 2, 'HG01250': 2, 'NA19794': 1, 'NA19678': 2, 'NA19792': 1, 'NA19785': 1, 'HG01462': 1, 'NA19669': 2, 'HG01456': 1, 'NA19750': 2, 'HG02277': 1, 'HG01923': 2, 'HG01992': 1, 'NA19663': 2, 'HG01323': 2, 'HG00640': 2, 'HG01965': 3, 'HG01067': 1, 'HG01325': 4, 'HG01242': 1, 'HG01342': 2, 'HG01362': 2, 'HG01161': 1, 'HG01982': 1, 'HG01991': 2, 'HG01464': 1, 'NA19780': 1, 'HG01351': 2, 'HG01136': 1, 'HG01095': 1, 'HG02275': 1, 'HG00739': 1, 'HG01942': 2, 'HG01389': 2, 'HG01200': 2, 'HG01083': 1, 'HG02008': 2, 'NA19717': 1})\n"
     ]
    }
   ],
   "source": [
    "%%bash \n",
    "\n",
    "populations=(\"africa\" \"europe\" \"east_asia\" \"south_asia\" \"america\")\n",
    "\n",
    "for population in \"${populations[@]}\"; do\n",
    "\n",
    "    bcftools view -S str_resources/\"${population}\"_ids.csv output/ensembletr_output/ensembletr_sorted.vcf.gz \\\n",
    "        | python3 qc.py \"${population}\"\n",
    "\n",
    "done"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The code below calculates the proportion of non-reference alleles for each super population. \n",
    "\n",
    "Boxplots summarize the distribution of the fraction of variant alleles. Horizontal lines show median values, boxes span from the 25th percentile (Q1) to the 75th percentile (Q3). Whiskers extend to Q1–1.5IQR (bottom) and Q3 + 1.5IQR (top), where IQR gives the interquartile range (Q3-Q1)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "super_populations = [\"africa\", \"europe\", \"east_asia\", \"south_asia\", \"america\"]\n",
    "\n",
    "df = pd.DataFrame(columns = super_populations)\n",
    "\n",
    "for pop in super_populations:\n",
    "\n",
    "    var_data_whole = pd.DataFrame(columns = ['Sample', 'ref', 'non_ref'])\n",
    "\n",
    "    var_data = pd.read_csv(f\"{pop}_no_homo.txt\", delimiter=\"\\t\", header=None)\n",
    "    var_data.columns = ['Sample', 'ref_chr', 'non_ref_chr']\n",
    "\n",
    "    if len(var_data_whole) == 0:\n",
    "        var_data_whole = var_data.copy()\n",
    "        var_data_whole.columns = ['Sample', 'ref', 'non_ref']\n",
    "\n",
    "    else:\n",
    "\n",
    "        var_data_whole = pd.merge(var_data_whole,var_data, on = \"Sample\")\n",
    "        var_data_whole['ref'] = var_data_whole['ref'] + var_data_whole['ref_chr']\n",
    "        var_data_whole['non_ref'] = var_data_whole['non_ref'] + var_data_whole['non_ref_chr']\n",
    "        var_data_whole = var_data_whole.drop(columns = ['ref_chr', 'non_ref_chr'])\n",
    "\n",
    "    df[pop] = var_data_whole['non_ref'] / (var_data_whole['ref'] + var_data_whole['non_ref'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "df = df.rename(columns={'africa': 'Africa',\n",
    "    'europe': 'Europe', \n",
    "    'east_asia':'East Asia', \n",
    "    'south_asia':'South Asia', \n",
    "    'america':'America'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
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VWVhYmGw2m1auXKkmTZrYXzvya5rNZtPevXvLICXgXoq7rhzFdQU4bsOGDZo7d65Gjx6tDh06FDtmy5Ytmjlzpp544gl16dKljBPClbysDgCUhfj4eIWFhV21QJKkevXqKSwsrMijKAFcn3379umzzz7Ttm3bdOLECUmXrq327dvroYceuupMQKCy++c//ylJqlOnTpHXAJy3YMECSVJoaGiR1wBc6z//+Y/27NmjVq1aXXXMLbfcot27d2vx4sWUSG6OEgmVwokTJxz69Klhw4b6/vvvyyARUPHMnj1b77//vgoLC4vMnkhKSlJSUpJiYmI0btw4PfXUUxamBMqnAQMGXPM1gOt32223XfM1ANfYs2ePwsLC5Ofnd9Uxfn5+Cg8PV0JCQhkmQ2mgREKlYLPZlJubazouNzdXhYWFZZAIqFhWrVqld999V1WqVNGgQYN07733qn79+pKk5ORkxcbG6j//+Y/ef/99NWrUSHfffbfFiQEAAOAK6enpat26tem44OBg7d69uwwSoTRRIqFSaNSokXbs2KGcnBxVqVKl2DE5OTnasWMHjx8HnDB//nx5enrqo48+Uvv27Yvsq127tlq1aqW77rpLw4cP1/z58ymRACcVFBToP//5jw4cOKCQkBANGTJE1atXtzoW4BZycnKUmZmpmjVrqmrVqvbt2dnZmj17tg4cOKDQ0FCNGDGC3weB6+Dr66uMjAzTcRkZGfL29i6DRChNPGsZlUKvXr2UmZmpN954o9iZRoZh6B//+IeysrJ05513WpAQcG8HDhxQ27ZtryiQ/qh9+/Zq166dDhw4UIbJAPc0c+ZMtWzZUvHx8fZthmHoz3/+s/7+979r4cKFmjp1qgYNGqTs7GwLkwLuY8aMGbrjjjuK/BzKz8/XAw88oDlz5mj9+vX6/PPP9cADDzj0BzGAS5o3b64dO3bY18MszokTJ/TTTz+pefPmZZgMpYESCZXC8OHDFRoaqiVLlig6Olpz585VXFyc4uLiNHfuXEVHR2vx4sUKCQnRn//8Z6vjAm7Hx8fHviDwtdSpU0c+Pj5lkAhwb5s3b1ZgYGCRNVzWrl2r+Ph4NWzYUC+88II6dOigpKQkffXVVxYmBdzH1q1bFRoaWmTx35UrV+rgwYOKjIzUe++9pwEDBig9PV2ffvqphUkB99K/f3/l5ORozJgxxRZJJ06c0JgxY5SXl6f+/ftbkBCuxO1sqBSqV6+uefPmaezYsTpw4IDeeeedIvsNw9BNN92kDz74QDVq1LAoJeC+WrdurT179lxzjGEY2rNnj2699dayCQW4sSNHjuimm24qsu27776TzWbTe++9p4iICA0fPlw9evTQypUrNXLkSIuSAu7j2LFjV8yCiIuLk81m05QpU9S4cWPdfffdio+P19q1a/XMM89YlBRwLwMGDNCKFSu0ZcsW/elPf1LHjh3VuHFjSdLvv/+uLVu2KDc3V7fffrvuv/9+a8OixCiRUGk0btxYsbGxWr16tTZt2qTjx49LkkJCQtS5c2fdeeed8vT0tDgl4J6efvppPfDAA/rXv/6l559/Xl5eRX+8FBQUaOrUqUpJSdHUqVMtSgm4j9OnT6t27dpFtm3fvl0hISGKiIiQJHl7e+uWW27Rjh07rIgIuJ2srCwFBgYW2bZjxw41adLE/gevJEVERGjr1q1lnA5wXx4eHpo1a5YmT56sJUuWaMOGDdqwYYN9v5eXlwYPHqy//e1v8vDgZih3R4mESsXDw0N33XWX7rrrLqujABXKgQMHNGDAAM2fP1/ffvut7rrrLvvT2VJSUvTf//5Xx48f15AhQ/Trr7/q119/LfL+6OhoC1ID5Vf16tV15swZ++sTJ04oOTn5itsAfH19deHChbKOB7ilgIAAnTp1yv76yJEjSktLU48ePYqM8/b2duipvgD+nypVquiNN97QuHHjFB8fr5SUFElSaGiobr/9dgUFBVmcEK5CiQQAKLGXX35ZNptNhmHo+PHjmj9/vmw2m6RLt7Fd9tVXXxVZv8UwDNlsNkok4H80bNhQ27dvV1ZWlmrWrKnly5fLZrOpU6dORcadPHlStWrVsigl4F6aNGmin376SceOHVODBg309ddfy2azqUuXLkXGpaSk8Acv4KQ6deqoX79+VsdAKaJEQoV0ufmuV6+ePD097a8dFRoaWhqxgAprzJgx9tIIQMndd999evXVVzVw4ECFh4dr/fr18vf3LzJjIjc3V7t371br1q0tTAq4jwcffFDx8fGKjo5Ww4YNtW/fPgUFBalr1672MefPn1diYqI6d+5sYVIAKL8okVAh9ezZUx4eHvrmm2/UpEkT9ezZ0+E/cG02mxITE0s5IVCxjBs3zuoIQIUyYMAAbdmyRStXrlRycrJ8fX31j3/8o8jDH9atW6fz58/r9ttvtzAp4D7uvvtuJSYmasGCBdq7d69CQ0P11ltvydfX1z5m1apVysnJ4boCrmHp0qWSpDvvvFP+/v72145iBrp7sxl/vM8AqCAeeeQRSdLbb7+t4OBg+2tH8VhXAEB5kJycrIyMDDVp0kT+/v5F9u3du1fJycm69dZbufUGuA65ubnKzs4u9lbQ48ePKysrSw0bNlS1atUsSAeUf2FhYbLZbFq5cqWaNGlif23m8jIGe/fuLYOUKC2USAAAl7p8i82JEyckXbqttGXLlvLx8bE4GVAxHT16VA0bNrQ6BlChbNmyRR07drQ6BlAuffDBB7LZbHr44YcVEBBgf+2osWPHlmI6lDZKJFQK+/btk4eHh5o1a2Z1FKDCys3N1f/93//pyy+/vOJpUb6+vnrwwQf1zDPPUCYBLpCdna1Vq1Zp6dKl+vnnn7kNG3CBpKQkxcTEKDY2VqmpqVxXAFAMSiRUCmFhYWrXrp0+++wzq6MAFVJubq5GjBihn376SYZhqFGjRvaZEceOHdPvv/8um82mdu3aad68efL29rY4MeB+DMPQ5s2btWTJEsXFxSknJ0eGYcjLy0u7d++2Oh7glrKzs7Vy5UotWbJEO3fulHTpWqtdu7Y2bdpkcTrAPSxYsEC+vr4aNGiQ1VFQBlhYG5VCzZo1FRwcbHUMoMJauHChtm/frhYtWujVV1+94mlRv/zyi9544w1t375dCxcu1KOPPmpNUMANHTp0SEuXLlVsbKxOnjxp396mTRvdc8896tOnj4XpAPdjGIa+//57LV26VGvXrrUXsn5+frrzzjt1zz33qFOnTlbHBNzGW2+9pW7dulEiVRKUSKgUIiIi9Ntvv1kdA6iwli9frho1amju3LkKDAy8Yv+tt96quXPnqnfv3oqNjaVEAkycOXNGK1as0NKlS7Vr1y5Jl/7wlS49RXTt2rUKCQmxMiLgdg4ePKiYmBgtX75caWlpMgxDHh4e8vb2Vl5enrZs2aIqVapYHRNwO7Vq1ZKfn5/VMVBGPKwOAJSFxx57THv37r3ux08CcMzhw4d1++23F1sgXRYYGKgOHTro8OHDZZgMcB+FhYVav369nn76aXXp0kX/+Mc/lJCQoBo1amjw4MH64osv1KZNG0miQAIclJmZqYULF+q+++7TPffco3nz5unkyZO68cYb9dxzz2ndunVq2bKlJFEgAU7q0KGDfvnlFxUUFFgdBWWAmUioFLy9vTV48GCNHz9eK1euVK9evRQaGqqqVasWO759+/ZlnBAAUJm99dZbWrFihU6dOmVf56h79+4aMGCAevTowYL0gBPGjRun9evXKz8/X4ZhKDAwUP369VN0dLS9OAJQcs8884zuu+8+vf766xo/frx8fX2tjoRSRImESuGRRx6RzWaTYRjauHGjvv/++2uO37t3bxklAyqGJk2aaOvWrTpz5oxq1KhR7JisrCxt3bpVTZo0KeN0QPk3f/582Ww21a1bV4899pj69eunWrVqWR0LcGurV6+2X1cTJkxQjx495OXFnz+Aqy1btkxdu3bVokWLtHr1anXq1EmhoaHFzu6z2WwaM2aMBSnhKvxXFJVCdHS0bDab1TGACqtfv356++239fjjj2vixIlq0aJFkf179uzRG2+8obNnzyoqKsqilED5ZhiGTp48qZiYGEmiSAJKyNPTUwUFBTp58qRef/11/fTTT4qOjlZYWJjV0YAKZdq0afYP7E+fPq1vvvnmqmMpkdyfzbi8SiMAAE7Kzc3VsGHD9Msvv8hms6lJkyZq0KCBJOnYsWM6fPiwDMNQ69at9cknn3BrDvA/9uzZo5iYGH3zzTc6ffq0bDabPD091a1bN/Xv3189e/aUt7e3HnroIf3888/MmAUccOrUKcXGxmrp0qXav3+/pEt/wN58880aMGCAoqKiVKdOHa4roIQuf/jhqAEDBpRSEpQFSiRUSAMGDFDPnj01btw4SdK2bdsUFBTEbTRAKbp48aLeffddLVq0SBcuXCiyz9fXV4MGDdJzzz131bXIAEj5+flav369YmJitGHDBuXn58tms6lGjRrq06ePfvzxRx05coQ/doHrtG/fPi1ZskTffPONTp06ZS9qO3TooN9++03Hjx/nugIAB1AioUIKCwvTgAED9M9//rPY1wBKz8WLF7V7926dPHlSklS3bl21bNmS8gi4TqdPn9aKFSsUExOjxMRESbLfmj1mzBhFRUWpcePGFiYE3E9BQYE2btyomJgYrVu3Tnl5eZIuXVvR0dGKiopSp06dWAYBAK6CEgkVUqtWrdSjRw+9//77kiiRgNJ222236eabb9bChQutjgJUSAcPHtSSJUu0fPlypaWl2f/AjYiI0L333qthw4ZZnBBwP1lZWVqxYoWWLVumhIQESZfKpNq1a6tfv34aP368xQkB97Nv3z4lJCTo9OnTuummm9SrVy9Jl5Y+yM3Nlb+/v8UJUVKUSKiQ7rnnHp08eVL//ve/1bBhQ/Xs2VN33XWX/vrXvzr0/tDQ0FJOCFQsrVu3Vs+ePTV16lSrowAVWmFhoTZt2qSYmBjFxcUpJydHNpuN23CAEvrtt98UExOj5cuXKzU1lesKuE6///67Xn75Ze3cudO+LTo62v4h/n/+8x+9+uqrmj17trp27WpVTLgAJRIqpE8//VSTJ0+2f1JrGIbD05JtNpv9tgEAjhk4cKBq1Kih+fPnWx0FqDSys7O1cuVKLV26VJ9//rnVcYAKwTAMbd68WUuXLtXbb79tdRzALZw4cUL33Xef0tPT1aNHD7Vv315TpkwpcifIuXPn1KFDBw0YMEBvvPGGxYlREl5WBwBKwyOPPKJ69eopLi5Oqamp2rp1q2rXrs3C2kApuf/++/Xmm29q3759PDoZKCP+/v4aPHiwBg8ebHUUoMKw2Wzq3LmzOnfubHUUwG3MmDFD6enpev311zVkyBBJ0pQpU4qMqVatmsLDw/XLL79YkBCuRImECqt3797q3bu3pEtrInXt2tV0TSTDMPTjjz+WRTygQnnooYf066+/avjw4Xr88cfVq1cv1a9fXz4+PlZHAwAAQCnauHGjmjVrZi+QrqZ+/fravHlzGaVCaaFEQqUwYMAAtW3b9qr7k5KSFBMTo9jYWKWmpnI7G3CdwsPDJV0qYqdOnXrNtZG4ZRQAAKDiSEtL0y233GI6rqCgQBcuXCiDRChNlEioFIqbgXR5LYklS5bYF4AzDEO1a9cu63iA2wsJCbE6AgAAACxQo0YNnThxwnTckSNH+FurAqBEQqViGIa+//57LV26VGvXrlVOTo4Mw5Cfn5/uvPNO3XPPPerUqZPVMQG3s3btWqsjAAAAwAKtWrXSDz/8oEOHDunGG28sdkxCQoL27dunqKioMk4HV6NEQqVw8OBB+2Nb09LSZBiGPDw85O3trby8PG3ZskVVqlSxOiYAAAAAuJVhw4Zp/fr1GjNmjKZMmaJWrVoV2b9v3z699NJL8vDw0COPPGJRSriKzTAMw+oQQGnIzMzUN998oyVLltjXXzEMQzfddJPuvfde9e/fX88++6x+/vln7d271+K0AAAAAOCe/u///k+zZs2SzWZTnTp1lJaWpoCAAFWrVk3JyckyDEPPPPOMRo0aZXVUlBAzkVAhjRs3TuvXr1d+fr4Mw1BgYKD69eun6OhotWzZ0up4QIWTkpJyXeNDQ0NLKQlQMYwfP15t27bV/ffff81xS5Ys0bZt20yfPgoAQGn6y1/+ohYtWmjmzJn2D+hPnz6t06dP66abbtLYsWPVp08fi1PCFSiRUCGtXr1aNptNdevW1YQJE9SjRw95efGvO1BaevbsKZvN5tBYns4GmIuJiZEk0xJpx44dWrp0KSUScB0uXryo3bt36+TJk8rNzb3quOjo6LILBVQAvXv3Vu/evZWRkaFjx47JMAwFBwerXr16VkeDC/FXNSokT09PFRQU6OTJk3r99df1008/KTo6WmFhYVZHAyqk9u3bF7vdMAylpKQoNTVVhYWFat26NYUu4EL5+fny8PCwOgbgNmbOnKmPPvpI58+fv+oYwzBks9kokQAn1apVS7Vq1bI6BkoJv8mjQtq4caNiY2O1dOlS7d+/X/Pnz9cnn3yim2++WQMGDFBUVJTq1KljdUygwvj000+vuf/QoUP629/+Ji8vL82dO7eMUgEV36+//qqAgACrYwBu4dNPP9X7778vDw8PdevWTU2bNlW1atWsjgUAboWFtVHh7du3T0uWLNE333yjU6dOyWazydPTUx06dNBvv/2m48ePs7A2UAZOnjypu+++W8OGDdMzzzxjdRyg3Bk/frz965iYGDVq1Eht2rQpdmxBQYEOHTqkxMRE9e7dW++//35ZxQTcVt++fXX06FEtWLBArVu3tjoOUKHk5eXpm2++UXx8/DVvFbXZbPrkk0/KOB1ciRIJlUZBQYE2btyomJgYrVu3Tnl5eZJkn64cFRWlTp06ObyuC4Dr9+c//1lHjx7VmjVrrI4ClDt/vOXaZrPJkV/RwsLCNG3aNDVo0KA0owEVQqtWrdS2bVt9/PHHVkcBKpSTJ09qxIgROnTokOnPLpvNxgf4bo7b2VBpeHp6qkePHurRo4eysrK0YsUKLVu2TAkJCYqJidHSpUtVu3Zt9evXr8inwQBcx9fXVydPnrQ6BlAuLViwQNKl9ViGDx+url276vHHHy92rLe3t+rWrav69euXZUTArdWoUUOBgYFWxwAqnLfeeksHDx5Uu3bt9Oijj6pRo0by8/OzOhZKCTORUOn99ttviomJ0fLly5Wamko7DpSS9PR09evXT76+vlq/fr3VcYBybfz48Wrbtq3p09kAOG78+PHaunWr1qxZw4L0gAvddtttql69ulatWiUfHx+r46CUUSIB/z/DMLR582YtXbpUb7/9ttVxALeybdu2q+47d+6cDh8+rIULFyo5OVnDhw/Xyy+/XIbpAAC4dMvNwIED1bt3b7388sv8sQu4SNu2bdWtWze99957VkdBGaBEAgCUWFhYmOl6YoZhqHPnzpo+fbqqVq1aRskA95STk6PMzEzVrFmzyPWSnZ2t2bNn68CBAwoNDdWIESNYDwm4imnTpl2xLSUlRTExMQoJCdHtt9+u0NDQYn9+2Ww2jRkzpixiAm7voYcekqenp+nTelExUCIBAErs5ZdfvmqJdHntlttvv13t27cv42SAe3rvvfc0e/ZsffXVV2rVqpUkKT8/X9HR0UUWLg0KClJsbKxq1aplZVygXLr8AYczf+6wvAHguLi4OI0bN06fffbZVZ8qioqDEgkAAKCceeCBB5SWlqa4uDj7ttjYWL300ktq1aqV/vznP9ufODpq1Cg988wzFqYFyqeYmJgSvX/AgAEuSgJUfAsWLNAHH3ygoUOHqkuXLgoODr7q2mOhoaFlnA6uRIkEACgzqampyszMLPIocwBX6tKli5o3b665c+fatz3zzDP67rvvtGrVKjVu3FiS1KtXL/n7+2vZsmUWJQUA4NL6mK+++qqSkpKuOc5msykxMbGMUqE0eFkdAADgfsLDwzVgwAC9+eabV+y71lOl3n//fS1dupRbBAATWVlZVzyKfMeOHWrSpIm9QJKkiIgIbd26tYzTAe4pJSVFfn5+CggIuOa4rKwsnTt3jtkSgIM2bdqkJ598Uvn5+QoICFD9+vXl5+dndSyUEkokAMB1MwzjqmtMXL59gEeTA84LCAjQqVOn7K+PHDmitLQ09ejRo8g4b29v5ebmlnU8wC316tXrqh+A/NHbb7+tJUuWMFsCcNAHH3yggoICTZw4UUOGDLnqbWyoGPj/LgAAQDnTpEkT/fTTTzp27Jgk6euvv5bNZlOXLl2KjEtJSVFQUJAVEQG3c60PQIobC8Ax+/fvV5s2bfTggw9SIFUCzEQCAAAoZx588EHFx8crOjpaDRs21L59+xQUFKSuXbvax5w/f16JiYnq3LmzhUmBiufMmTOqUqWK1TEAt+Hn56fg4GCrY6CMUCIBAACUM3fffbcSExO1YMEC7d27V6GhoXrrrbfk6+trH7Nq1Srl5OTo9ttvtzApUL6lpKQUeX3+/Pkrtl1WUFCgQ4cOadOmTWrUqFFZxAMqhI4dOyohIUGGYchms1kdB6WMEgkAAKAcev755zVu3DhlZ2erVq1aV+zv1KmTli5dqoYNG1qQDnAPPXv2LPJH7Xfffafvvvvumu8xDEODBw8u7WhAhfHcc8/p/2vvzqOqrvM/jj8vm6aiIgoSBGIi2HEtkxIVQ2usxDSbKcewxXEJRU3HlNHGqZncSjMkzergQJmlHdzNJXeLcEkrtxQEFFQEEVEUBfz+/vBwfzJcIFy4gK/HOZ3w+/l+7uf9vfccj7zuZ+nfvz8zZszg73//O3Z2ihlqMn26IiIiIlWUg4ODxQAJwM3NDTc3t0quSKR6efTRR80/7969G2dnZ7y9vS3e6+DggIuLCz169KBnz56VVaJItRcbG0v37t2Jjo7m+++/x9/fn6ZNm1qclWQymRgxYoQVqpQ7RSGSiIjckszMTHbv3l2htoyMjLtdloiIiNkXX3xh/tnPz4+uXbsybdo0K1YkUvNERkZiMpkwDIPU1FTzoRCWKESq/kyGjh4QEZEK8vPzu60174cPH76D1YjUXOnp6WzatInk5GQuXbpk8cQok8lU7pHlIgJpaWnUqVMHJycna5ciUqMsW7asQvf369fvLlUilUEhkoiIVFhQUNBt9d+8efMdqkSk5oqKimL27NkUFhaarxX9s60oxC3axFTBrIiIVAdxcXE8/vjj1i5DboNCJBEREZEqZsuWLbzxxhu4ubkRGhrKunXr+PHHH/n8889JTk5m9erV7Nu3j8GDBxMYGEinTp2sXbJIlVfaEuzS3LyfkojcupSUFJYtW8bKlSs5c+YMhw4dsnZJchu0J5KIiIhIFfPFF19gZ2dHdHQ0np6e/PzzzwAEBAQQEBDAwIEDiYyM5JNPPuFPf/qTlasVqR5CQkIqtBRbM/xEbt2lS5dYu3YtsbGx/PLLL8CN2bPOzs5Wrkxul0IkERERkSrm4MGDtG/fHk9Pz1LvGTFiBCtWrGD+/PnMnz+/EqsTqZ769u1rMUS6fv06p06d4tChQ+Tm5tKjRw/q169vhQpFqjfDMNixYwfLly9n8+bNXL16FcMwqFOnDj179iQ4OJjOnTtbu0y5TQqRRERERKqYy5cv4+rqav6zg4MDcOOb3Xr16gE39kVq06YNcXFxVqlRpLqZPn16me1ZWVn84x//IDk5mW+++aaSqhKp/hISEli2bBmrVq0iIyMDwzCwsbHB3t6e/Px84uLiqFWrlrXLlDvExtoFiIiIiEhxjRs3Jjs7u9ifAU6cOFHsvpycHPLy8iqzNJEaq1GjRrz//vucO3eOOXPmWLsckSotOzubRYsW0b9/f4KDg4mKiuLs2bM8+OCDjB07li1bttC6dWsABUg1jGYiiYiIiFQxnp6epKammv/crl07DMPg66+/5t133wUgMTGR+Ph4HnzwQWuVKVLjODo60rZtWzZu3MjkyZOtXY5IlRQWFsbWrVspKCjAMAycnJx49tln6du3rzk4kppLIZKIiIhIFdOlSxdmzZrF0aNHadmyJZ07d8bLy4ulS5dy6NAh3NzciIuLo6CggBdffNHa5YrUOFlZWdYuQaTK2rhxIyaTCRcXFyZPnswTTzyBnZ2ihXuFPmkRERGRKqZPnz7UqVMHwzAAsLOzY968eYwePZoDBw5w4MABbGxsGDBgAAMGDLBytSI1R3JyMrt378bNzc3apYhUWba2thQWFnL27Fneeecd9u7dS9++ffHz87N2aVIJTEbRv05EREREpMo7fvw4Fy5cwMvLi0aNGlm7HJFqY/ny5aW25ebmkpSUxIoVK7h06RJhYWGEhoZWXnEi1ci5c+dYuXIly5cv5/fffwduHPbg4+NDv3796N27N02aNOGvf/0r+/bt4/Dhw1auWO4khUgiIiIiIlLj+fn5YTKZSm03DAOTycQLL7zAO++8g42NziASKc+RI0eIjY1lzZo1nDt3DpPJhK2tLY899hjHjx/n9OnTCpFqGIVIIiIiItXUmTNnyM7O1hICkT9g7ty5pYZI9vb2uLi40KlTJ9zd3Su5MpHqr7CwkO3bt7Ns2TK2bNlCfn4+cGOGUt++fenduzedO3cuM8iV6kEhkoiIiIiVtWrVin79+jF16tQSbeHh4TzyyCO88MILFtuWL1+ub3lFRKTKuHDhAqtXr2bFihX8+uuvwI0wydnZmWeffZbw8HArVyi3Q3M0RURERKzMMAxK+15v2bJl7N27t5IrEhERuTUNGjRg4MCBLFmyhLVr1zJkyBBcXV3JzMwkJibG2uXJbdLpbCIiIiIick85ffo0e/bsIT09HQBXV1c6duyoU9lE7rDmzZszbtw4xo4dy48//ljmBvdSPShEEhERERGRe8L58+f517/+xcaNG0vM/jOZTDz11FP885//1MmHIneYyWQiICCAgIAAa5cit0khkoiIiIiI1HiXLl0iJCSEhIQE7Ozs8Pf3x8PDA4DU1FTi4+NZt24diYmJfP3119StW9fKFYuIVD0KkUREREREpMaLiooiISGBLl268O6773L//fcXaz99+jRTpkxhx44dREVFERYWZqVKRUSqLm2sLSIiIiIiNd6GDRto3LgxkZGRJQIkADc3NyIiInB2dmb9+vVWqFBEpOrTTCQRERGRKiAzM5Pdu3dXqC0jI+NulyVSY5w8eZKgoCBq165d6j21a9emY8eObNmypRIrExGpPhQiiYiIiFQBO3fuZOfOnSWum0ymUttE5I+zs7PjypUr5d6Xl5eHnZ1+TRIRsUR/O4qIiIhYmaWlNSJyZ/n4+BAfH8+ZM2do2rSpxXtOnz5NfHw8vr6+lVydiEj1oBBJRERExMo2b95s7RJEarz+/fvz9ttvM2jQIMaPH8+TTz5ZrH3Dhg188MEH5OXl0b9/fytVKSJStZkMwzCsXYSIiIiIiMjdZBgGo0aNYuPGjZhMJmrXrm2eBXjq1Cny8vIwDIOnnnqKiIgIK1crIlI1KUQSEREREZF7gmEYxMTEEB0dzalTp4q1ubu7M2jQIAYNGoTJZLJShSIiVZtCJBERERERueecOXOG9PR0AFxdXUvdJ0lERP6fQiQRERERERERESmXNtYWEREREZF7Ul5eHj///DPnz5/H1dWVDh06YGtra+2yRESqLIVIIiIiIiJS46SlpbF161Y8PT3p2rVrifZNmzYxadIkLly4YL7m5ubGrFmz6NChQ2WWKiJSbdhYuwAREREREZE7bc2aNfznP/8hMzOzRNvRo0cZM2YM2dnZGIZBgwYNgBuntA0bNoyMjIzKLldEpFpQiCQiIiIiIjXO3r17sbOz48knnyzRNm/ePPLz83Fzc2PFihX89NNPxMXF0a1bNy5evMiiRYusULGISNWnEElERERERGqcpKQkHnroIerVq1fsen5+Plu3bsVkMjFu3Dh8fX0BaNiwITNmzKBWrVrs3LnTGiWLiFR5CpFERERERKTGycrKwsPDo8T1w4cPk5eXh729PT169CjW5uTkRJs2bUhJSamsMkVEqhWFSCIiIiIiUuNcvXqVvLy8EtcPHToEgJ+fH/fdd1+JdhcXF65cuXLX6xMRqY4UIomIiIiISI3TuHFjEhMTS1zfu3cvJpOJtm3bWuyXl5dn3mhbRESKU4gkIiIiIiI1Tvv27UlJSWHDhg3ma5mZmWzatAmALl26WOx37NgxXFxcKqVGEZHqxs7aBYiIiIiIiNxpL7/8MuvWrWPs2LH06tWLxo0bs379ei5fvoyHhwddu3Yt0Sc5OZkTJ07w/PPPW6FiEZGqTyGSiIiIiIjUOI888ghvvvkmH374IatXr8ZkMmEYBvfddx/Tpk3D1ta2RJ9vvvkGgICAgMouV0SkWjAZhmFYuwgREREREZG74fDhw6xfv56srCyaNm1Knz59LJ7aBvDhhx9y5coVQkNDadiwYeUWKiJSDShEEhERERERERGRcmljbRERERERERERKZdCJBERERERERERKZdCJBERERERERERKZdCJBERERERERERKZdCJBERERERERERKZdCJBERERG5ZUFBQfj6+hIfH39PjCsiInIvs7N2ASIiIlI9ZGVlsWjRIrZv305SUhJXrlyhfv36ODs706JFCx599FGeeOIJ7r//fmuXKtVYTk4O0dHRAISFhVm5GhEREbmZQiQREREp1/79+xk2bBjZ2dkANGnSBE9PTwoLCzlx4gTHjh3ju+++48KFC4SGhlq3WKnWcnJyiIyMBMoOkR544AEcHBy47777Kqs0ERGRe55CJBERESlTbm4uI0eOJDs7m3bt2jF58mTatm1rbr9+/ToHDhxgzZo1NGjQwIqVyr2kaLaSiIiIVB6FSCIiIlKmbdu2kZGRga2tLZGRkbi4uBRrt7GxoW3btsWCJRERERGpebSxtoiIiJTp5MmTADg5OZUIkMoTHx+Pr68vQUFBpd4zceJEfH19mTt3bpl9Y2Nj+fOf/0yHDh14+OGHGTRoENu3by9z/LNnzzJz5kx69+5Nhw4daN++PcHBwURGRnLp0iWLfXx9ffH19SU1NZVff/2VUaNGERAQQKtWrUrUWJqbN30+evQoo0ePJiAggDZt2tCrVy8+/vhjrl69Wmr/8+fPM3v2bHr37k379u3p0KEDwcHBREREcPHiRYt9QkJC8PX1JTY2ltOnTxMeHk63bt1o3bo1QUFBzJgxg5ycnHKf2ZLY2Fh8fX0JCQn5Q88PcO3aNTZs2EB4eDjBwcF06tSJNm3aEBQUxFtvvcWRI0dK9Jk4cSI9evQoUVfRf7Gxsea28jbW3r9/P2PGjKFr1660bt0af39/Bg8ezPr16y3en5qaah4HYM+ePQwdOhR/f3/atm1LcHAwX375JYZh/OH3QEREpKbRTCQREREpU7169QDIzMwkOTmZZs2aVXoN06dPZ+HChTRu3JjmzZtz8uRJ4uPjiY+PZ+LEibz22msl+sTFxREWFsbFixext7fHw8MDgMTERObOncvq1auJjo7G1dXV4pgbNmxg1qxZODg44O3tTb169TCZTBWq+5dffmHevHkUFhbi4+ND3bp1SUpKIiIigh07dhAVFUWdOnWK9UlISOD1118nPT0dW1tbWrRogWEYJCQkcPToUZYvX87ChQvx8vKyOGZqair9+vUjJycHHx8fHB0dSUxMJCoqis2bN/Pll1/SpEmTCj3HrUhOTiYsLAwbGxucnZ1xd3cnPz+ftLQ0VqxYwdq1a4mIiCgWMDZr1ozWrVtz4MABAB5++OFir+ns7PyHxv7vf//L9OnTMQyDBg0a4Ovry9mzZ9m5cyc7d+6kb9++TJs2DRsby9+nxsbGMmnSJOrXr4+HhwenTp3i6NGj/Pvf/yYtLY0JEybc4rsiIiJSvSlEEhERkTJ169YNW1tbCgsLef311xk6dCiBgYG4ublVyvjp6enExMTwzjvv8OKLL2IymSgoKODjjz9m3rx5zJw50zzLqEhKSgojRowgNzeX4cOHM3ToUOrWrQvcmJ00adIktm/fzltvvVXq3joffPABr7zyCmPGjKFWrVoA5OXlVaj2iIgIAgICmDFjBg0bNgRuzHAZOXIk+/bt4/3332fKlCnm+69du8bIkSNJT0+nXbt2zJkzx3za3YkTJwgLC+PIkSOMGjWK2NhYbG1tS4z56aef0qpVKyIiIsyf0bFjxwgNDSU5OZlJkybx6aefVug5bkWjRo2YOXMmgYGB5mcvesalS5fy3nvvER4eztatW82bYw8fPpzevXubZyMtXry4wuP+9NNP5gBpxIgRvPHGG9jb2wOwatUqwsPDWb58OS1btmTw4MEWX2PKlClMmDCBkJAQ83u8YMECZs+ezcKFCxkwYACenp4Vrk1ERKS603I2ERERKdMDDzxAeHg4NjY2pKWlMWXKFLp3705AQABDhgxhwYIFJCcn37XxCwoK6N+/Py+99JJ5JpCdnZ15idj169f55JNPivWZO3cuubm5hISE8Oabb5oDJAAXFxc+/PBDXF1d+emnn/j1118tjvv4448zYcIEc4AEULt27QrVXrduXWbPnl0sROnYsSOTJk0CYOnSpWRmZprb1q5dS1JSEvb29kRERJgDJABPT0/mzJmDra0tR44c4fvvv7c4pmEYzJkzp1jI5+Pjw/Tp04Ebe1wdPHiwQs9xKxo3bsxzzz1X7NkBHBwcGDhwIM888wzZ2dls2bLljo47f/58DMMgMDCQUaNGmQMkgODgYP72t78B8Nlnn3Ht2jWLr9GnTx9effXVYiHdsGHDaNmyJYZhsHXr1jtas4iISHWhEElERETKFRISwtKlS+ndu7c5kMnMzGT79u3Mnj2bXr16ER4ezuXLl+/K+K+88kqZ13/88Ufy8/MByM/PNwcsAwYMsNivXr16BAQEADeWvVnSv3//26q56DVuDrCKPPPMMzRp0oT8/Hx27txpvr5t2zYAnn76aZo2bVqin7e3t3n5V2lBRs+ePXF3dy9x/ZFHHqFNmzZl9r0b4uLimD59OsOHD+fll19mwIABDBgwgD179gBw6NChOzbW5cuX2b17N4DFJY6AORw6f/48v/zyi8V7Bg4caPF6hw4dgBuzwkRERO5FWs4mIiIif0jr1q2ZNWsWhYWFHDt2jIMHDxIfH8+2bdvIzs4mNjaWrKwsFixYcEfHtbOzw9vb22JbixYtALh69Sqpqal4e3uTkpLClStXAJg8eXKpr3vq1CkATp8+bbHdx8fndsoGoGXLlhav29ra4u3tTUZGBsePHzdfT0pKKnfsli1bsnHjRvO9/6usvj4+Pvz222/FxrxbcnNzCQsL44cffijzvuzs7Ds25okTJygsLARKfx8aNmyIq6srp06d4vjx4zz66KMl7ilt36+iPZlyc3PvTMEiIiLVjEIkERERqRBbW1v8/Pzw8/Ojf//+XLx4kfDwcDZu3MjWrVvZv39/sf2JbpeTk5PFvX/gxpKpIkW/2F+4cMF87eeffy739Uvb56hon57bUdZG0EW13xxIFP1c1sbXRW2lBRk3vyel1VMZIciMGTP44YcfcHJyYty4cfj7++Pi4mJeEvjRRx8xb948CgoK7tiYRSfuFW3mXZomTZpw6tSpUt+H/93svEjRRtw6oU1ERO5VCpFERETktjg6OjJt2jQ2bdrE9evXi4VIRXsYlfVLd3lL4M6fP09hYaHFIOnm/YSKlo0V/d9kMnHw4MFSA6jKcO7cuVLbimq/eblb0c8ZGRml9itqs7RM7ubXLaue0vqW9jkVzez6owoKCli1ahVw42S97t27l7jnTs5AKlJ0kuD169c5d+5cqYFaee+hiIiIWKY9kUREROS2OTo60qhRIwDz3kTw/7N5ygpTytuUu6CgoNR7EhISAKhVqxYeHh7AjaVIDg4OGIbBsWPH/ugj3BWljV9YWGhejta8eXPz9aKfy6r76NGjJfrdrOg9Kaue/+1bNPOmtM+ptKVzpcnKyjKHgx07drR4T2n7ERUFj7fC09MTO7sb35GW9h5euHCB9PR0AB588MFbHktERORepBBJREREypSVlcX169fLvOf48ePmAOLm/Yu8vLwwmUxcvXrV4gbKe/fu5ffffy+3hujoaIvXY2JiAOjcubP5FK7atWvzxBNPAPD555+X+9p307fffmtxptV3331HRkYG9vb25g2+AQIDA83tZ86cKdEvJSWFzZs3A1ic3QPw/fffm/d7utm+ffv47bffio1TxMvLC4D9+/eX6JeTk8OaNWssjlWam5cCWppVFRcXV+oJcTf3regMqDp16pj3OFq4cKHFe6KjoyksLMTJyYm2bdtW6PVFRETudQqRREREpExr167l2WefJTo6ukSwYRgGO3bsIDQ0FMMwcHd3p0uXLub2+vXrm2eivPfee5w/f97cdujQISZMmFDsCHZL7Ozs+Pbbb1myZIl5uVVBQQGRkZHs3LkTGxsbhg0bVqzPmDFjqFu3LqtWreLtt98uEWQUFBSwa9cuwsPDzbNS7obc3FzGjRtXYp+mqVOnAjdOb7t5/6Onn34ab29v8vPzGT16dLEw6OTJk4wZM4bCwkL8/Pzo0aNHqeOOHTu22GeVmJjIxIkTAejatSutW7cudn/RiW+ff/45R44cMV/PyMhg3LhxXLx4sULP7ejoiJ+fHwBTp04lJyfH3BYfH8/YsWOpVauWxb5OTk44OjoCN07dq6jhw4djMpnYtm0bc+fOLTYzbu3atXz22WcADB06FAcHhwq/voiIyL1MeyKJiIhImUwmE8ePH2fq1KlMnTqVJk2a4OLiQkFBAWfOnDEHJE2aNCEyMtK8cXKRt956i5dffpk9e/YQGBiIt7c3eXl5JCcn06VLF9q3b2/eP8cSV1dXnnrqKd5++20iIiJo2rQpJ0+eNO+pM3bsWPPR60WaN2/O/PnzGT16NEuWLOHbb7/Fy8uLBg0akJubS0pKCteuXQNgxIgRd/DdKm7UqFHMmzePrl270qJFC3Jzc81L89q1a8f48eOL3e/g4MDcuXN5/fXX2b9/Pz179qRFixYYhkFCQgLXr1/H3d2diIiIUvd6Gjp0KF999RU9evTAx8eHgoICEhISMAwDLy8v3nvvvRJ9XnvtNVauXMnJkyfp168fXl5e1KpVi4SEBFxcXBgxYgRz5syp0LOPHz+eoUOHsn37dgIDA2nWrBk5OTmkpqbSqlUrHn/8caKiokr0M5lMPPfcc3z55ZeMHDmSFi1a0LBhQwCGDBlCt27dyhz3scceY8KECcyYMYPIyEi++OILPD09OXv2rDkwfO6553j11Vcr9DwiIiKimUgiIiJSjhdffJFFixYRGhpqXip09OhRjh8/jr29PY899hgTJ05k3bp1PPTQQyX6t23blq+++oru3btTq1YtkpKSsLe3Z/z48SxYsMC8h01ZJk6cyNSpU2natCmJiYlcu3aNTp068emnnzJkyBCLffz9/fnuu+8YNWoUbdq0ITMzk99++4309HR8fHwYPHgwixcvxt3d/fbeoDK0a9eOJUuW0L17d86cOUNaWhrNmjUjLCyMmJgY80bQN/Px8WHlypUMGzYMb29vUlJSOHnyJC1atCA0NJTly5ebl59Z4uHhwbJly+jTpw/nzp0jOTmZ+++/n1dffZWlS5fi6upaoo+joyOLFy/mL3/5C87OzqSmppKTk8NLL71EbGysxT7l6dKlCzExMXTu3Bm4seTRwcGBN954g8WLF5d6AhrcCB6HDx9Os2bNSElJYdeuXezatavMTcNv9tprr/H111/Tq1cvHBwcOHLkCFevXiUgIICPPvqImTNnmk9aExERkT/OZOiMUhEREamC4uPjGTRoEO7u7uZ9gKqLoKAg0tLSiImJwd/fv1LGDAkJYdeuXUybNo3nn3++UsYUERGRe4u+ghERERERERERkXIpRBIRERERERERkXIpRBIRERERERERkXIpRBIRERERERERkXJpY20RERERERERESmXZiKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5FCKJiIiIiIiIiEi5/g/KY4rI1c2efwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = [\"dimgrey\", \"darkorange\", \"red\", \"greenyellow\", \"blue\", \"purple\"]\n",
    "\n",
    "color_dict = dict(zip(df.columns, colors))\n",
    "sns.set(rc={'figure.figsize':(12,8)},font_scale = 1.4)\n",
    "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n",
    "ax = sns.boxplot(data=df, palette=color_dict)\n",
    "ax.set(xlabel='Super population', ylabel='Fraction of variant alleles')\n",
    "ax.set_ylim(0.6,1.1)\n",
    "\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"downstream/fraction_of_variant-alleles.pdf\", dpi=1200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Population-specific allele distributions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the next code cells, we investigate the distribution of TR lengths of variant alleles for all super populations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Done\n",
      "\n",
      "Done\n",
      "\n",
      "Done\n",
      "\n",
      "Done\n",
      "\n",
      "Done\n"
     ]
    }
   ],
   "source": [
    "!bash statSTR_pop_stats.sh africa europe east_asia south_asia america"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ibra/protocol/genotyping_repeats_tutorial/summarize_allele_sizes.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  samples[\"Superpopulation\"] = samples[\"Superpopulation\"].apply(GetPopOrder)\n",
      "Reading records\n",
      "HG03015\n",
      "HG03078\n",
      "HG00237\n",
      "HG01242\n",
      "NA19740\n",
      "NA20534\n",
      "HG04140\n",
      "NA21115\n",
      "NA20357\n",
      "NA18539\n",
      "NA19770\n",
      "NA18961\n",
      "HG01080\n",
      "NA18874\n",
      "HG03895\n",
      "NA21133\n",
      "HG02484\n",
      "NA18523\n",
      "HG00142\n",
      "HG01870\n",
      "NA19750\n",
      "HG03856\n",
      "NA19669\n",
      "NA12760\n",
      "NA19256\n",
      "HG00581\n",
      "HG03631\n",
      "NA21088\n",
      "NA19663\n",
      "HG01873\n",
      "NA21112\n",
      "NA19717\n",
      "HG00334\n",
      "HG00500\n",
      "NA19430\n",
      "HG03894\n",
      "HG04039\n",
      "HG01323\n",
      "HG00349\n",
      "HG02236\n",
      "HG01628\n",
      "HG02380\n",
      "HG02095\n",
      "NA20296\n",
      "HG00336\n",
      "HG03743\n",
      "NA18982\n",
      "HG03971\n",
      "HG03917\n",
      "HG00472\n",
      "HG03114\n",
      "NA19153\n",
      "NA19794\n",
      "NA18749\n",
      "NA20510\n",
      "NA19792\n",
      "NA18945\n",
      "HG01362\n",
      "NA18953\n",
      "HG03615\n",
      "HG02238\n",
      "NA18571\n",
      "NA19780\n",
      "NA19011\n",
      "HG01455\n",
      "NA20762\n",
      "HG00108\n",
      "HG00285\n",
      "HG03866\n",
      "HG03920\n",
      "HG01280\n",
      "NA19075\n",
      "HG01980\n",
      "NA07347\n",
      "HG01507\n",
      "NA18980\n",
      "HG02396\n",
      "HG01325\n",
      "NA19678\n",
      "HG01250\n",
      "NA18871\n",
      "HG01342\n",
      "HG00157\n",
      "NA20332\n",
      "HG04227\n",
      "HG02008\n",
      "NA18637\n",
      "NA18573\n",
      "HG00640\n",
      "HG02545\n",
      "HG03040\n",
      "HG02790\n",
      "HG01161\n",
      "HG01462\n",
      "NA18636\n",
      "HG02144\n",
      "HG02595\n",
      "HG02322\n",
      "HG01768\n",
      "HG01965\n",
      "HG03787\n",
      "HG02180\n",
      "HG03685\n",
      "HG03995\n",
      "HG00304\n",
      "HG03401\n",
      "NA19332\n",
      "HG04159\n",
      "HG00306\n",
      "HG02375\n",
      "HG02121\n",
      "HG02394\n",
      "HG03539\n",
      "NA19007\n",
      "HG00313\n",
      "NA10851\n",
      "NA12828\n",
      "HG03738\n",
      "HG03770\n",
      "HG04014\n",
      "HG03643\n",
      "HG00437\n",
      "HG02651\n",
      "HG03916\n",
      "HG02554\n",
      "NA19159\n",
      "HG01200\n",
      "HG01923\n",
      "NA19355\n",
      "HG02277\n",
      "HG01083\n",
      "HG01378\n",
      "NA18537\n",
      "HG00698\n",
      "NA18973\n",
      "HG03022\n",
      "HG01598\n",
      "HG01271\n",
      "HG00260\n",
      "HG02232\n",
      "HG03905\n",
      "HG04153\n",
      "NA19312\n",
      "HG01777\n",
      "HG02390\n",
      "HG01992\n",
      "HG03781\n",
      "HG02793\n",
      "HG00353\n",
      "NA20760\n",
      "HG02017\n",
      "NA18547\n",
      "HG02023\n",
      "NA12414\n",
      "NA21118\n",
      "HG01067\n",
      "HG03190\n",
      "NA18622\n",
      "NA21126\n",
      "HG00262\n",
      "HG02108\n",
      "HG01770\n",
      "HG01389\n",
      "HG00233\n",
      "HG00707\n",
      "NA12762\n",
      "HG03885\n",
      "HG02122\n",
      "HG02580\n",
      "HG03815\n",
      "HG03663\n",
      "HG01797\n",
      "HG02343\n",
      "NA19107\n",
      "HG04080\n",
      "HG03646\n",
      "HG04001\n",
      "HG01991\n",
      "HG01351\n",
      "HG00610\n",
      "HG01456\n",
      "HG01632\n",
      "HG00284\n",
      "NA12155\n",
      "HG02643\n",
      "NA20346\n",
      "HG03436\n",
      "HG01413\n",
      "HG00136\n",
      "HG01855\n",
      "NA12058\n",
      "HG00663\n",
      "NA12144\n",
      "NA20519\n",
      "HG01095\n",
      "NA19785\n",
      "NA20522\n",
      "NA19455\n",
      "HG00379\n",
      "HG01136\n",
      "HG00133\n",
      "HG01668\n",
      "HG03458\n",
      "HG03073\n",
      "HG04195\n",
      "HG01678\n",
      "HG00513\n",
      "HG02364\n",
      "HG02851\n",
      "NA20287\n",
      "HG01982\n",
      "HG01464\n",
      "NA20767\n",
      "HG02624\n",
      "HG01372\n",
      "HG02278\n",
      "HG03291\n",
      "HG01260\n",
      "NA20910\n",
      "NA19247\n",
      "HG00651\n",
      "HG02757\n",
      "HG01767\n",
      "HG02407\n",
      "HG02481\n",
      "HG02143\n",
      "HG02439\n",
      "HG00690\n",
      "NA18609\n",
      "HG03209\n",
      "HG01942\n",
      "NA18748\n",
      "HG00739\n",
      "NA18979\n",
      "HG01374\n",
      "NA20905\n",
      "HG02275\n",
      "NA18642\n",
      "HG00155\n",
      "HG02601\n",
      "HG03706\n",
      "HG03773\n",
      "NA20351\n",
      "HG03868\n",
      "HG03115\n",
      "HG03432\n",
      "HG03882\n",
      "NA19149\n",
      "HG00111\n",
      "HG00242\n"
     ]
    }
   ],
   "source": [
    "# For each sample, count how many alleles match ref, ref+1, ref-1, etc.\n",
    "# Do separately for homopolymers and non-homopolymers\n",
    "!python summarize_allele_sizes.py output/ensembletr_output/ensembletr_sorted.vcf.gz > downstream/asize_summary.tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "####### Set up #########\n",
    "def GetSuperpopColors(spop):\n",
    "    if \"Europe\" in spop: return \"blue\"\n",
    "    if \"Africa\" in spop: return \"gold\"\n",
    "    if \"America\" in spop: return \"red\"\n",
    "    if \"East Asia\" in spop: return \"green\"\n",
    "    if \"South Asia\" in spop: return \"purple\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_98704/1416680685.py:11: FutureWarning: The provided callable <function sum at 0x7f9af807f100> is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n",
      "  data = data.groupby([\"spop\",\"type\"], as_index=False).agg(aggdict)\n",
      "/tmp/ipykernel_98704/1416680685.py:11: FutureWarning: The provided callable <function sum at 0x7f9af807f100> is currently using SeriesGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n",
      "  data = data.groupby([\"spop\",\"type\"], as_index=False).agg(aggdict)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load data, sum across all chromosomes\n",
    "# data gives counts of allele sizes in each sample,\n",
    "# separately for homopolymers/non-homopolymers\n",
    "\n",
    "sizecols = list(range(-11, 12))\n",
    "data = pd.read_csv(\"downstream/asize_summary.tab\", sep=\"\\t\", names=[\"sample\",\"spop\",\"pop\",\"type\"] + sizecols)\n",
    "\n",
    "# Aggregate by summarizing across samples/chromosomes\n",
    "aggdict = {}\n",
    "for i in sizecols: aggdict[i] = np.sum\n",
    "data = data.groupby([\"spop\",\"type\"], as_index=False).agg(aggdict)\n",
    "\n",
    "w = 0.12\n",
    "vtype = \"other\"\n",
    "\n",
    "byspop = data[data[\"type\"]==vtype].copy()\n",
    "byspop.index = byspop[\"spop\"]\n",
    "byspop = byspop.drop(columns = [\"spop\",\"type\"])\n",
    "byspop = byspop.div(byspop.sum(axis=1), axis=0)\n",
    "byspop[0] = np.nan\n",
    "\n",
    "fig = plt.figure()\n",
    "fig.set_size_inches((15, 8))\n",
    "ax = fig.add_subplot(111)\n",
    "i = 0\n",
    "for spop in sorted(list(byspop.index)):\n",
    "    vals = byspop.loc[spop]\n",
    "    color = GetSuperpopColors(spop)\n",
    "    ax.bar([item+w*i for item in sizecols], vals, color=color, label=spop.split('_')[1], width=w)\n",
    "    i += 1\n",
    "\n",
    "ax.legend(loc=\"upper right\")\n",
    "ax.set_xticks(sizecols)\n",
    "ax.set_xticklabels([\"<-10\"]+list(range(-10, 11)) + [\">10\"])\n",
    "ax.set_xlabel(\"Diff from hg38 (# rpts)\")\n",
    "ax.set_ylabel(\"% of alleles\")\n",
    "ax.set_ylim(bottom=0, top=0.3)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "\n",
    "figname = \"DiffFromRef-Nonhomopolymer.pdf\"\n",
    "fig.savefig(os.path.join(\"downstream\", figname))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we zoom into some loci to investigate population-specific allele distributions. The x-axis denotes the allele length (number of repeats relative to hg38) and the y-axis denotes the frequency of each allele under investigation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Done\n",
      "\n",
      "Done\n",
      "\n",
      "Done\n",
      "\n",
      "Done\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "\n",
    "bash statSTR_loci_stats.sh 4 3074877\n",
    "\n",
    "bash statSTR_loci_stats.sh 11 57528484\n",
    "\n",
    "bash statSTR_loci_stats.sh 14 64253561\n",
    "\n",
    "bash statSTR_loci_stats.sh 17 51831668"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [],
   "source": [
    "def GetRowColors(spop):\n",
    "    if \"europe\" in spop: return \"blue\"\n",
    "    if \"africa\" in spop: return \"gold\"\n",
    "    if \"america\" in spop: return \"red\"\n",
    "    if \"east_asia\" in spop: return \"green\"\n",
    "    if \"south_asia\" in spop: return \"purple\"\n",
    "\n",
    "def plot_locus_allele_distribution(filepath: str, plot_title: str):\n",
    "    data = pd.read_csv(filepath, sep=\"\\t\")\n",
    "\n",
    "    if data.shape[0] != 1:\n",
    "        assert(\"Need to find exactly one locus!\")\n",
    "\n",
    "    fig, axs = plt.subplots(5, 1, figsize=(8, 10), sharey=True)  \n",
    "    fig.subplots_adjust(hspace=0.5, left=0.15, top=0.95)\n",
    "    w = 0.30\n",
    "\n",
    "    for pop, ax in zip([\"africa\", \"europe\", \"east_asia\", \"south_asia\", \"america\"], axs):\n",
    "\n",
    "        vals = data[\"afreq-%s\" % pop].values[0]\n",
    "        xvals = []\n",
    "        yvals = []\n",
    "        for ainfo in vals.split(\",\"):\n",
    "            allele, freq = ainfo.split(\":\")\n",
    "            allele = int(float(allele))\n",
    "            freq = float(freq)\n",
    "            xvals.append(allele)\n",
    "            yvals.append(freq)\n",
    "\n",
    "        pop_name = pop.replace('_', ' ').title()\n",
    "        ax.bar(xvals, yvals, color=GetRowColors(pop), edgecolor=\"black\", label=pop_name, width=1)\n",
    "        ax.legend(loc=\"upper right\")\n",
    "        ax.set_xlim(left=0, right=65)\n",
    "\n",
    "    fig.text(0.5, 0.04, 'Allele length', ha='center')\n",
    "    fig.text(0.06, 0.5, 'Frequency', va='center', rotation='vertical')\n",
    "    fig.suptitle(plot_title, fontsize=16)\n",
    "\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_locus_allele_distribution(\"downstream/chr4.3074877_stats.tab\",\"CAG$_n$ (exon 1 of HTT)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_locus_allele_distribution(\"downstream/chr11.57528484_stats.tab\", \"TA$_n$ (exon 3 of TIMM10)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_locus_allele_distribution(\"downstream/chr14.64253561_stats.tab\", \"TG$_n$ (exon 6 of ESR2)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_locus_allele_distribution(\"downstream/chr17.51831668_stats.tab\", \"AGC$_n$ (intron 3 of CA10)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "vscode": {
     "languageId": "shellscript"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Done\n"
     ]
    },
    {
     "data": {
      "image/png": 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dO1bx8fHy9/dXv379dPr0aW3atEnffvutFi5cqD59+lSqz7CwMHXo0KFEedOmTR01bAAAUAGHfq3pEVyZo8ZoPcL29ttvl6ura7lte/bsKX9/f/3222/atWuXYwZQinbt2mnt2rVatmyZtmzZoh07dqhevXpq0aKFRo4cqcGDB9vaRkRE6JNPPtHcuXN14MABHT9+XMHBwZo+fbpGjRpV6W3DqouLUVsWP1zmrbfe0htvvKHw8HC99957atiwoaRLazWeeuop+fn5afPmzbby8ljv0E6ZMkVTp06tlvEmJSVJurQ5slViYqIiIyO15/OyHwpLPCBF3ivt2bNHERER1TI2AACuhgsXLujo0aNq27ZtmU/eV3RLy9qCrTUdryI/J1al5auy1Lo7tIWFhVqxYoUkaebMmcVC69ChQxUdHa3Y2FitWrVKo0ePrqlhAgCASgoODtahQ8m15sn4K+HwI+dR6wJtYmKiMjMzFRQUVGoiHzJkiGJjY7VlyxYCLQAATiY4OJiQCIerdYH20KFDklTmg18dO3aUJCUnJ1eq3wMHDmjOnDnKzs6Wn5+funbtqltvvfWK61kAAABQu9W6QGvdbLhFixal1lvLMzMzlZubqwYNGlSo361bt2rr1q3Fytq0aaPXX39dYWFhdowYAAAANanW7UObl5cn6dJ+bKXx9va2fZ6bm3vF/po2baopU6Zo9erV2r17t3bu3KmlS5cqPDxcx44d0yOPPKKTJ086ZvAAAAC46mpdoHW0Pn36aOrUqerUqZN8fHzUpEkT9erVSx9//LEiIyN17tw5LVq0qKaHCQAAgCqqdYHWegc2Pz+/1HrrHVxJFV5uUBo3NzeNHz9ekhQbG1vlfgAAAFCzal2gbdWqlSSVuQzAWu7r62tXoJUuraGVpIyMDLv6AQAAQM2pdYHWeprXgQMHSq0/ePCgJCk0NNTua50/f15S8XW5AACg6mrheU2oRarr56PWBdqIiAj5+voqNTXVdkLE5WJiYiRJAwYMsPtaX331lSTZzisGAABV4+Z2aeOkgoKCGh4JajOLxSJJDt82tdYFWjc3N40aNUqS9NJLLyknJ8dWt379esXGxsrPz08jRoywle/bt0+DBw8udvawdGkd7rvvvqtz584VKy8qKtKHH36o5cuXS5KioqKq6+0AAHBNcHNzU4MGDXT27FldvHixpoeDWsgwDGVlZcnT01Pu7u4O7bvW7UMrSePHj9euXbsUHx+vQYMGqXv37jKZTEpISJC7u7vmzJlT7Ejc/Px8HT16tEQ/FotFc+bM0bx589S5c2e1bNlSeXl5Sk5OVnp6ulxcXDR16lT169fvar49AADqpICAAKWkpOjo0aNq3LixvLy85OrqKhcXl5oeGmqQYRiyWCzKyspSTk6OAgMDHX6NWhloPTw89O6772rp0qWKjo7WN998I29vbw0YMECTJ08u8xSx36tfv74mTpyoH3/8UceOHdPBgwdVVFSkpk2baujQoXrooYcUERFRze8GAIBrg7e3t9q2bauMjAydO3dOJpOppoeEWsTT01OBgYHy8fFxeN+1MtBKl0LthAkTNGHChCu27dGjR6lH4Xp4eOgvf/lLNYwOAACUxsPDQ0FBQba7ckVFRTU9JNQCrq6uDl9mcLlaG2gBAIDzcnFxkYeHR00PA9eIWvdQGAAAAFAZBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUOFihFjh06FC59QEBAQoODr5KowEAAHAuBNoa9NtpqV496eGHHy63nbd3fR06lEyoBQAAKAWBtgZlZktFRdIHc6QO7Upvc+hX6eG/X5DJZCLQAgAAlIJAWwt0aCdFdKrpUQAAADgnHgoDAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODUCLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpEWgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODUCLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpEWgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAU3Or6QGUxWw2a9myZYqOjlZKSoq8vb3VrVs3TZw4UZ06dap0fzExMXr//feVnJwsSQoNDdWoUaN0++23O3roAAAAuIpqZaA1m80aO3as4uPj5e/vr379+un06dPatGmTvv32Wy1cuFB9+vSpcH9z587V22+/LQ8PD/Xq1UuS9P333+svf/mLfvrpJ02bNs0hY05MTLR9fejQIbv7BAAAwJXVykD7zjvvKD4+XuHh4XrvvffUsGFDSdL69ev11FNP6emnn9bmzZtt5eVJSEjQ22+/LR8fH3388cdq3769JOnIkSN64IEHtGDBAt16663q2rWrXWNOTU3VsGHD7OoDAAAAlVfr1tAWFhZqxYoVkqSZM2cWC61Dhw5V3759de7cOa1atapC/S1ZskSSNGHCBFuYlaT27dvr8ccfL9bGHkHNpT2f/9/HP5+wu0sAAABUQK0LtImJicrMzFRQUJDCw8NL1A8ZMkSStGXLliv2VVBQoB07dkhSqWtlrX1t375dZrPZnmHLw0OK6PR/H22D7OoOAAAAFVTrAq117WlZD3517NhRkmwPd5Xn6NGjKigokJ+fn1q1alWivlWrVvL19dWFCxd09OhRO0YNAACAmlLrAm16erokqUWLFqXWW8szMzOVm5tbbl9paWnl9nV5nfW6AAAAcC617qGwvLw8SZKXl1ep9d7e3rbPc3Nz1aBBgyr3dXl/VwrH5bFYLDKKWmhP5lpbWXB3ae1aqcBf2pNZ+usq0sbc/FIbwzCUlJRU5TECAAA4E7PZLBcXlwq1rXWB1hm5uLhI9dzl3qCdrcyjgeTrX/7rKtRGUsPG9o8RAADAmbi4uDhvoLXeMc3Pzy+13nrXVVK5d2cr0tfl/V2pr/LYu+UXAAAAqq7WraG1Prx18uTJUuut5b6+vlcMoYGBgeX2dXldaQ+NAQAAoPardYG2Q4cOkqQDBw6UWn/w4EFJl46uvZK2bdvK09NT586dK/Whr/T0dGVmZqp+/fpq27atHaMGAABATal1gTYiIkK+vr5KTU0t9SGomJgYSdKAAQOu2Jenp6d69uwpSdqwYUOZffXu3VseHh72DBsAAAA1pNYFWjc3N40aNUqS9NJLLyknJ8dWt379esXGxsrPz08jRoywle/bt0+DBw/W4MGDS/Q3btw4SdKiRYt05MgRW/mRI0e0aNGiYm0AAADgfGrdQ2GSNH78eO3atUvx8fEaNGiQunfvLpPJpISEBLm7u2vOnDnFjsTNz88v82CEbt266fHHH9eiRYs0fPhw2x3bHTt2qKCgQJMmTeKhLgAAACfmYhiGUdODKI3ZbNbSpUsVHR2tlJQUeXt7KzIyUpMnTy5xilhcXJztrm5ZJ4jFxMRoxYoVtvrQ0FCNHj261CNxAQAA4DxqbaAFAAAAKqLWraEFAAAAKoNACwAAAKdGoAUAAIBTI9ACAADAqdXKbbuchdls1rJly4rtxNCtWzdNnDixxE4MuLIDBw5ox44dSkpK0v79+5WWliZJ2rJli4KCgsp83YkTJ/Tmm29q586dysrKUosWLXTbbbdp4sSJVzwe+VpmsVgUFxenb7/9VnFxcUpJSdHFixfVokUL9e7dW+PGjbMdH/17zHnVfPLJJ9q5c6eSk5N15swZ5ebmqnHjxgoPD9cDDzygfv36lfo65tsxDMPQ6NGjFRcXJ+nS7jft27cv0Y75rrpnnnlGa9asKbP+/vvv18svv1yinDm3T3Z2tpYuXarNmzcrNTVVktS8eXNFRkbqiSeeUPPmzYu1r4vzzS4HVWQ2mzV27FjFx8fL399f3bt31+nTp7Vnzx65u7tr4cKF6tOnT00P06lMmjRJW7ZsKVFeXqA9cOCAoqKilJubq06dOik4OFj79u1TWlqaQkJCtHLlSjVq1Ki6h+6UduzYoTFjxkiSWrZsafslbN++fcrIyFDDhg21ZMmSEvs0M+dVN3jwYKWkpCgkJETNmzdX/fr1lZKSov3790uSHn30UU2fPr3Ya5hvx/n44481c+ZMubi4yDCMUgMt820fa6Dt3bu3mjZtWqK+R48eGj58eLEy5tw+v/zyi8aMGaOMjAy1bt1aYWFhslgsOnHihH755Rd9+OGH6tatm619nZ1vA1Uyf/58IyQkxBgxYoSRnZ1tK1+3bp0REhJi9OjRo1g5rmzRokXG3LlzjU2bNhknT540evbsaYSEhBgpKSmlti8sLDQGDRpkhISEGIsWLbKVFxQUGI8//rgREhJiPP/881dr+E5nx44dxtSpU43ExMRi5RcuXDCeeeYZIyQkxOjXr59hNpttdcy5fRITE42cnJwS5bt37za6dOlihISEGD/88IOtnPl2nN9++82IiIgwxo4da/Tr188ICQkxfvnll2JtmG/7TZ8+3QgJCTF27dpVofbMuX2ysrKMPn36GJ07dzaio6NL1B8/ftw4c+aM7eu6PN8E2iqwWCzGTTfdZISEhBj79u0rUT9+/HgjJCTEeO+992pgdHXHlQLtxo0bjZCQEGPo0KFGUVFRsbpTp04ZHTt2NDp27GicPXv2agy3TsnPzzciIyONkJAQIy4uzlbOnFefGTNmGCEhIcbChQttZcy344wfP97o0qWLkZqaWmagZb7tV9lAy5zbZ9asWUZISIixbNmyCrWvy/PNQ2FVkJiYqMzMTAUFBSk8PLxE/ZAhQySp1D+fw3G2bt0qSbrtttvk4uJSrK5Zs2aKjIxUYWGhYmNja2J4Tq1+/fpq06aNJCkjI8NWzpxXHze3S480eHh42MqYb8dYu3atYmNjNW3atDLXhUvMd01gzquuoKBAq1evlpeXl+6///4KvaYuzzcPhVXBoUOHJKnMB786duwoqexjeOEY1u9D586dS63v1KmT4uLidPjw4as5rDrh4sWLtofyAgICbOXMefU4dOiQNmzYIFdX12Jr75lv+5lMJr3yyisKDw+3HZFeFubbcTZt2qRNmzbJbDarZcuW6tWrl2688cYS7Zjzqtu/f7+ys7MVGRkpLy8v7dy5U9u2bVNOTo6CgoI0cOBAtWvXrthr6vJ8E2irID09XZLUokWLUuut5ZmZmcrNzXXaJwZruyt9H6xPdVrboeK++OILnT17Vk2aNFFERIStnDl3jFWrVmn37t2yWCxKS0vTDz/8IDc3N7344ou64YYbbO2Yb/u9/PLLysnJ0b/+9S/Vq1f+HyWZb8d5//33i309b9489e3bV3PmzJGvr6+tnDmvul9++UWS5O/vryeeeEIbN24sVj937lxNmDBB06ZNs5XV5fkm0FZBXl6eJMnLy6vUem9vb9vnBNrqc6Xvg3Xec3Nzr9qY6oLU1FT95z//kST99a9/LfYncObcMRITE4ttbeTl5aVnn31WI0aMKNaO+bbPxo0btXHjRj322GMKCwu7Ynvm235hYWGaOXOmbr75ZrVs2VJnz55VfHy8XnvtNcXGxmrChAlauXKl7ZcL5rzqsrKyJP3fMoKnn35ad955p1xdXbVhwwbNmTNHCxYsUKtWrTRy5EhJdXu+WUMLwCYnJ0eTJk1SZmamBg8erPvuu6+mh1QnzZo1S8nJydq7d6/Wrl2rIUOG6Pnnn9fjjz+uCxcu1PTw6oTMzEy9/PLLat26taZMmVLTw7lmPPLII/rzn/+sdu3aycvLS4GBgRo+fLg+//xz+fr6au/evSXuJKJqioqKJF3aU3zChAkaN26cmjdvroCAAEVFRenJJ5+UJC1YsKAmh3nVEGirwHoHNj8/v9R6629Akrg7W42u9H2w/obJ96BiCgoKNHHiRCUnJ+uWW27Rq6++WqINc+5Y3t7e6tChg/7973/r3nvv1bZt27Rs2bJi9RLzXRWvvPKKTCaTXnrpJXl6elboNcx39WnevLnuueceSdJ3331nK2fOq+7yvwZb78BeznpDIj09XSkpKcVeUxfnm0BbBa1atZIknTx5stR6a7mvr69T/lA4iyt9H06dOlWsHcpmsVg0depUxcfHq0uXLlqwYEGxpQZWzHn1GTZsmKTiu6Mw31W3ZcsWeXp6asGCBYqKiir2cfr0aUnS9OnTFRUVpa+++koS813dSts5hTmvOuuOHR4eHiVOApMuhdImTZpIku1nvi7PN4G2Cjp06CDp0mkbpTl48KAkKTQ09KqN6Vpk/T5YT1n6Pev3pyJr565lRUVFevrppxUbG6uwsDAtXry42G/+l2POq4/1H56zZ8/ayphv+xQUFCg+Pr7Eh9lsliQlJSUpPj7e9o878129rGs+L1+/yZxXnXVHJbPZXOqa14sXLyo7O1vS/92ZrcvzTaCtgoiICPn6+io1NVVJSUkl6mNiYiRJAwYMuNpDu6ZYz73fuHGjjN+d4JyRkaE9e/bIzc1Nt956a00MzykYhqHnnntOGzZsUNu2bbV06VI1bty4zPbMefWJi4uTJLVu3dpWxnxXXUJCgpKTk0v9sN7ZiomJUXJysh555BFJzHd1MgxDX3/9taTiW0Yx51V3+ZHl1v9/XC4hIUEWi0VeXl627bvq8nwTaKvAzc3Ntp/hSy+9pJycHFvd+vXrFRsbKz8/vxJPLMOx+vfvrzZt2uinn37SO++8Yys3m8164YUXVFhYqBEjRtjufKGk2bNna9WqVQoKCtLy5cvl7+9fbnvmvOr279+vTZs2qbCwsETd1q1bNW/ePEnF18Ix31cX822fgwcPat26dbY74FY5OTl67rnnlJSUJG9v72L/NjLn9nnsscckSXPmzFFqaqqt/NSpU5o1a5Yk6d5777UtIavL8+1i/D6io0LMZrPGjh2r+Ph4+fv7q3v37jKZTEpISJC7u7sWLFjglL/h1KRvv/222NOYBw8elMViUYcOHWz/Mfbt21eTJ0+2tdm/f7+ioqKUl5enTp06qXXr1vrxxx+VlpamkJAQrVy5Uo0aNbrq78UZbN682TaXPXr0KHPN1MCBAzVw4EDb18x51Vjn28fHR506dZK/v7+ys7N19OhRnThxQpL06KOPavr06cVex3w7Xv/+/ZWWlqaYmBi1b9++WB3zXXXWn/HGjRurc+fO8vPzk8lk0qFDh5SVlSVvb2/bfrSXY87t8+KLL+qjjz6St7e3IiIiVK9ePe3du1fZ2dnq0qWL3nvvvWLLPOrqfBNo7WA2m7V06VJFR0crJSVF3t7eioyM1OTJk8s8RQxlW716tWbMmFFum+HDh2v27NnFyo4fP64333xTO3fuVFZWllq0aKHbbrtNkyZN4qG8clRkviVpypQpmjp1arEy5rzyTp06pU8//VTx8fE6ceKEzp49q3r16qlZs2bq2rWr7rvvPnXr1q3U1zLfjlVeoJWY76pKSUnR8uXLlZSUpLS0NGVmZsrd3V2BgYHq2bOnRo0apaCgoFJfy5zbZ926dfrwww/1008/qbCwUG3atNHQoUM1evToUnf5qIvzTaAFAACAU2MNLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpEWgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODUCLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpudX0AOqCvXv3yjAMubu71/RQAAAA6gSLxSIXFxd17dr1im0JtA5gGIYMw6jpYQAAANQZlclWBFoHsN6ZDQ8Pr+GRAAAA1A1JSUkVbssaWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqbFtVzU6ceKETCZTuW0CAgIUHBx8lUYEAABQ9xBoq8mJEycUGtpBFy7klduufn1vJScfItQCAABUEYG2mphMpv8fZj+Q1KGMVod04cLDMplMBFoAQK1ksVh08eLFmh4GnJyrq6vtIKrqQKCtdh0kRdT0IAAAqJTz58/LZDKpoKCgpoeCOsLT01MBAQHy8fFxeN8EWgAAUMz58+eVlpamhg0bKiAgQO7u7nJxcanpYcFJGYYhi8WirKwspaWlSZLDQy2BFgAAFGMymdSwYUMFBQURZOEQXl5eatSokVJTU2UymRweaNm2CwAA2FgsFhUUFKhx48aEWTiUi4uLGjdurIKCAlksFof2TaAFAAA21gfAqvMBHly7rD9Xjn7QkEALAABK4O4sqkN1/VwRaAEAAODUCLQAAABwauxyAAAAKq0ix7vXFo48Zr5///62rafKk5yc7JDroWIItAAAoFIqerx7bVEdx8z37t1bTZs2dVh/sA+BFgAAVErFjnevLarnmPnHHntMPXr0cFh/sA+BFgAAVBHHu6N24KEwAACAavLMM88oNDRUcXFxpdZHRUUpNDRUqampxcr79++v0NBQGYahlStX6p577lHXrl3VrVs3Wxuz2ax3331Xw4cPV5cuXdSlSxcNHz5cS5culdlsLnGtN998U6GhoVq9erUOHDigCRMmqEePHurSpYvuu+8+xcTElPk+zp8/r3nz5mno0KH6wx/+oK5du+qBBx5QdHR0FWfGsbhDCwAAUEu99NJL+uyzzxQZGal+/fopPT1dkpSfn68xY8Zo7969atSokXr16iVJiouL03/+8x9t3rxZS5cuVf369Uv0+cMPP2jmzJlq1aqVevXqpdOnTyshIUF//etfdeLECU2YMKFY++PHj2vMmDFKS0tTixYtdMstt8hiseiHH37Q008/rf379+vZZ5+t/skoB4EWAACgloqJidFnn32mjh07FiufO3eu9u7dq/DwcL3zzjvy8/OTJJ09e1Zjx47Vnj179Prrr2v69Okl+vzkk0/0yCOPaPr06apX79If6+Pi4jR+/Hi9/vrruvXWW23XKyoq0hNPPKG0tDRNmjRJkyZNsp32derUKU2cOFHLly9Xnz591KdPn+qcinKx5AAAAKCSRo0apdDQ0FI/nnnmGYddZ9y4cSXCbH5+vj777DNJ0syZM21hVpKaNGmi559/XpL08ccf68KFCyX6bNGihZ566ilbmJWkHj16aOTIkSoqKtIHH3xgK9+6dasOHz6s3r17a9q0acWORG7evLn++c9/SpI++ugjB7zbquMOLQAAQCWVt21XZGSkw64zYMCAEmUHDhxQXl6e2rZtq/Dw8BL1ERERatOmjY4dO6b9+/cXW3crSbfddps8PDxKvO6uu+7SBx98oISEBFvZ9u3bJUl/+tOfSh1fx44d5e3trX379lXqfTkagRYAAKCSrta2XYGBgSXKTp06JUkKCgoq83VBQUE6duyYMjIyKtTn5eUnT560lVkfVps5c6ZmzpxZ5vVKewjtaiLQAgAA1JCioqJy60t7qOtqso7vlltuUYsWLWp0LOUh0AIAAFQT65rT3NzcUut/++23SvfZvHlzSSqx1dflrHXNmjUrUWfdKeH3rEf6WvuXpJYtW0qS7r77bg0fPrzSY71aeCgMAACgmlgD5dGjR0vUHTlypEqBtlOnTvLy8tLRo0eVlJRUov6HH37QsWPH5O3trc6dO5eo37hxoywWS4nydevWSVKxNbfW7cA2bdpU6XFeTQRaAACAamJdZ/vhhx/q9OnTtvKMjAzNmDHjiksOSuPl5aWRI0dKkl5++WVlZmba6s6dO6eXX35ZkvTAAw+UumTht99+02uvvVbs2rt379Znn32mevXq6aGHHrKVDxo0SKGhodqyZYtee+015efnl+jv4MGD+u677yr9Phyp1i45MJvNWrZsmaKjo5WSkiJvb29169ZNEydOVKdOnSrcz+rVqzVjxowy69u2bauvvvrKEUMGAADXiMWLF2vNmjVl1j/xxBNq1aqVunfvrl69eun777/X0KFDFRERofz8fO3bt08dO3ZU165dtXfv3kpf/8knn1RSUpL27t2rP/3pT7bgvGvXLmVnZysyMlLTpk0r9bX333+/3n//fX3zzTfq3LmzMjIylJCQYNtz9vK7uq6urnrrrbc0btw4LVq0SJ988onCwsIUEBCg7OxsHT58WKdOndKoUaN06623Vvp9OEqtDLRms1ljx45VfHy8/P391a9fP50+fVqbNm3St99+q4ULF1Z6896wsDB16NChRHlZW24AAIArOVTTA6iA6hmjdTursowePVqtWrWSi4uL5s+fr3nz5umrr77Stm3b1KxZM0VFRWnSpEkaN25cla7v5eWl5cuX6/3339f69eu1bds2ubi4qE2bNrrzzjsVFRVV6tZcktSlSxeNHDlSb7zxhr777juZzWZ16tRJY8aM0R133FGi/XXXXafVq1dr5cqV+vrrr7V//36ZzWYFBASoTZs2euSRRzRkyJAqvQ9HqZWB9p133lF8fLzCw8P13nvvqWHDhpKk9evX66mnntLTTz+tzZs328orYuDAgZo6dWp1DRkAgGtGQECA6tf31oULD9f0UCqkfn1vBQQEOKSvb775ptKv8fb21rPPPlvq8bDvv/9+la/j6empcePGVSkUW08Yq6gGDRpo/PjxGj9+fKWvdTXUukBbWFioFStWSLq059nloXXo0KGKjo5WbGysVq1apdGjR9fUMAEAuGYFBwcrOfmQTCZTTQ+lQgICAhQcHFzTw0A1qnWBNjExUZmZmQoKCir19IshQ4YoNjZWW7ZsIdACAFBDgoODCYmoNWpdoD106NJal7Ie/LKeZ5ycnFypfg8cOKA5c+YoOztbfn5+6tq1q2699Va5urraN2AAAADUqFoXaK2b/ZZ1GoW1PDMzU7m5uWrQoEGF+t26dau2bt1arKxNmzZ6/fXXFRYWZseIAQAAar+pU6fW2eeJat0+tHl5eZIuPb1XGm9vb9vnZZ26cbmmTZtqypQpWr16tXbv3q2dO3dq6dKlCg8P17Fjx/TII48UO7MYAAAAzqXWBVpH69Onj6ZOnapOnTrJx8dHTZo0Ua9evfTxxx8rMjJS586d06JFi2p6mAAAAKiiWhdorXdgSzuJQvq/O7iSKrzcoDRubm62rSdiY2Or3A8AAABqVq0LtK1atZKkMpcBWMt9fX3tCrTSpTW00qXj5wAAAOCcal2gtZ7mdeDAgVLrDx48KEkKDQ21+1rnz5+XVHxdLgAAkAzDqOkhoA6qrp+rWhdoIyIi5Ovrq9TUVCUlJZWoj4mJkSQNGDDA7mt99dVXklTszGIAAK5l1u0sLRZLDY8EdZH158rR26bWukDr5uamUaNGSZJeeukl5eTk2OrWr1+v2NhY+fn5acSIEbbyffv2afDgwRo8eHCxvvLz8/Xuu+/q3LlzxcqLior04Ycfavny5ZKkqKio6no7AAA4FXd3d3l6eiorK4u7tHAowzCUlZUlT09Pubu7O7TvWrcPrSSNHz9eu3btUnx8vAYNGqTu3bvLZDIpISFB7u7umjNnTrEjcfPz83X06NES/VgsFs2ZM0fz5s1T586d1bJlS+Xl5Sk5OVnp6elycXHR1KlT1a9fv6v59gAAqNUCAgKUlpam1NRUNW7cWO7u7nJxcanpYcFJGYYhi8WirKws5eTkKDAw0OHXqJWB1sPDQ++++66WLl2q6OhoffPNN/L29taAAQM0efLkMk8R+7369etr4sSJ+vHHH3Xs2DEdPHhQRUVFatq0qYYOHaqHHnpIERER1fxuAABwLj4+PpIkk8mktLS0Gh4N6gpPT08FBgbafr4cycXg7wl2s671DQ8Pt5UlJiYqMjJS0h5JZYXmREmR2rNnD8EaAFArWSwWXbx4saaHASfn6upa6WUGpeWrstTKO7QAAKB2cHd3d/h6R8DRat1DYQAAAEBlEGgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODUCLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpEWgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwam41PYC6wmw2KzEx0fb1oUOHanA0AAAA1w4CrYOkpqZq2LBhNT0MAACAaw6B1mGCJO257OsYSc/X0FgAAACuHQRah/GQFH7Z1xVfcnCl5QkBAQEKDg6u2rAAAADqOAJtjfpNUj09/PDD5baqX99bycmHCLUAAAClINDWqExJRZI+kNShjDaHdOHCwzKZTARaAACAUhBoa4UOkiJqehAAAABOiX1oAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODW3mh5AWcxms5YtW6bo6GilpKTI29tb3bp108SJE9WpU6dK9xcTE6P3339fycnJkqTQ0FCNGjVKt99+u6OHDgAAgKuoVgZas9mssWPHKj4+Xv7+/urXr59Onz6tTZs26dtvv9XChQvVp0+fCvc3d+5cvf322/Lw8FCvXr0kSd9//73+8pe/6KefftK0adOq660AAACgmtXKQPvOO+8oPj5e4eHheu+999SwYUNJ0vr16/XUU0/p6aef1ubNm23l5UlISNDbb78tHx8fffzxx2rfvr0k6ciRI3rggQe0YMEC3XrrreratWu1vicAAABUj1q3hrawsFArVqyQJM2cObNYaB06dKj69u2rc+fOadWqVRXqb8mSJZKkCRMm2MKsJLVv316PP/54sTYAAABwPrUu0CYmJiozM1NBQUEKDw8vUT9kyBBJ0pYtW67YV0FBgXbs2CFJpa6Vtfa1fft2mc1me4YNAACAGlLrAu2hQ4ckqcwHvzp27ChJtoe7ynP06FEVFBTIz89PrVq1KlHfqlUr+fr66sKFCzp69KgdowYAAEBNqXWBNj09XZLUokWLUuut5ZmZmcrNzS23r7S0tHL7urzOel0AAAA4l1r3UFheXp4kycvLq9R6b29v2+e5ublq0KBBlfu6vL8rhePyWCwWtWhhaO3aPZeVBktaK6lA0p5SX1exNmZJa2UYhpKSkqo8RgAAAGdiNpvl4uJSoba1LtA6IxcXF7m7S+3auV9W6iHJ9wqvrGibK+/mAAAAUJe4uLg4b6C13jHNz88vtd5611VSuXdnK9LX5f1dqa/ysOUXAABAzal1a2itD2+dPHmy1Hprua+v7xVDaGBgYLl9XV5X2kNjAAAAqP1qXaDt0KGDJOnAgQOl1h88eFDSpaNrr6Rt27by9PTUuXPnSn3oKz09XZmZmapfv77atm1rx6gBAABQU2pdoI2IiJCvr69SU1NLfQgqJiZGkjRgwIAr9uXp6amePXtKkjZs2FBmX71795aHh4c9wwYAAEANqXWB1s3NTaNGjZIkvfTSS8rJybHVrV+/XrGxsfLz89OIESNs5fv27dPgwYM1ePDgEv2NGzdOkrRo0SIdOXLEVn7kyBEtWrSoWBsAAAA4n1r3UJgkjR8/Xrt27VJ8fLwGDRqk7t27y2QyKSEhQe7u7pozZ06xI3Hz8/PLPBihW7duevzxx7Vo0SINHz7cdsd2x44dKigo0KRJk3ioCwAAwIm5GIZh1PQgSmM2m7V06VJFR0crJSVF3t7eioyM1OTJk0ucIhYXF2e7q1vWCWIxMTFasWKFrT40NFSjR48u9UhcAAAAOI9aG2gBAACAiqh1a2gBAACAyiDQAgAAwKkRaAEAAODUCLQAAABwarVy2y5nYTabtWzZsmI7MXTr1k0TJ04ssRMDruzAgQPasWOHkpKStH//fqWlpUmStmzZoqCgoDJfd+LECb355pvauXOnsrKy1KJFC912222aOHHiFY9HvpZZLBbFxcXp22+/VVxcnFJSUnTx4kW1aNFCvXv31rhx42zHR/8ec141n3zyiXbu3Knk5GSdOXNGubm5aty4scLDw/XAAw+oX79+pb6O+XYMwzA0evRoxcXFSbq0+0379u1LtGO+q+6ZZ57RmjVryqy///779fLLL5coZ87tk52draVLl2rz5s1KTU2VJDVv3lyRkZF64okn1Lx582Lt6+J8s8tBFZnNZo0dO1bx8fHy9/dX9+7ddfr0ae3Zs0fu7u5auHCh+vTpU9PDdCqTJk3Sli1bSpSXF2gPHDigqKgo5ebmqlOnTgoODta+ffuUlpamkJAQrVy5Uo0aNaruoTulHTt2aMyYMZKkli1b2n4J27dvnzIyMtSwYUMtWbKkxD7NzHnVDR48WCkpKQoJCVHz5s1Vv359paSkaP/+/ZKkRx99VNOnTy/2GubbcT7++GPNnDlTLi4uMgyj1EDLfNvHGmh79+6tpk2blqjv0aOHhg8fXqyMObfPL7/8ojFjxigjI0OtW7dWWFiYLBaLTpw4oV9++UUffvihunXrZmtfZ+fbQJXMnz/fCAkJMUaMGGFkZ2fbytetW2eEhIQYPXr0KFaOK1u0aJExd+5cY9OmTcbJkyeNnj17GiEhIUZKSkqp7QsLC41BgwYZISEhxqJFi2zlBQUFxuOPP26EhIQYzz///NUavtPZsWOHMXXqVCMxMbFY+YULF4xnnnnGCAkJMfr162eYzWZbHXNun8TERCMnJ6dE+e7du40uXboYISEhxg8//GArZ74d57fffjMiIiKMsWPHGv369TNCQkKMX375pVgb5tt+06dPN0JCQoxdu3ZVqD1zbp+srCyjT58+RufOnY3o6OgS9cePHzfOnDlj+7ouzzeBtgosFotx0003GSEhIca+fftK1I8fP94ICQkx3nvvvRoYXd1xpUC7ceNGIyQkxBg6dKhRVFRUrO7UqVNGx44djY4dOxpnz569GsOtU/Lz843IyEgjJCTEiIuLs5Uz59VnxowZRkhIiLFw4UJbGfPtOOPHjze6dOlipKamlhlomW/7VTbQMuf2mTVrlhESEmIsW7asQu3r8nzzUFgVJCYmKjMzU0FBQQoPDy9RP2TIEEkq9c/ncJytW7dKkm677Ta5uLgUq2vWrJkiIyNVWFio2NjYmhieU6tfv77atGkjScrIyLCVM+fVx83t0iMNHh4etjLm2zHWrl2r2NhYTZs2rcx14RLzXROY86orKCjQ6tWr5eXlpfvvv79Cr6nL881DYVVw6NAhSSrzwa+OHTtKKvsYXjiG9fvQuXPnUus7deqkuLg4HT58+GoOq064ePGi7aG8gIAAWzlzXj0OHTqkDRs2yNXVtdjae+bbfiaTSa+88orCw8NtR6SXhfl2nE2bNmnTpk0ym81q2bKlevXqpRtvvLFEO+a86vbv36/s7GxFRkbKy8tLO3fu1LZt25STk6OgoCANHDhQ7dq1K/aaujzfBNoqSE9PlyS1aNGi1HpreWZmpnJzc532icHa7krfB+tTndZ2qLgvvvhCZ8+eVZMmTRQREWErZ84dY9WqVdq9e7csFovS0tL0ww8/yM3NTS+++KJuuOEGWzvm234vv/yycnJy9K9//Uv16pX/R0nm23Hef//9Yl/PmzdPffv21Zw5c+Tr62srZ86r7pdffpEk+fv764knntDGjRuL1c+dO1cTJkzQtGnTbGV1eb4JtFWQl5cnSfLy8iq13tvb2/Y5gbb6XOn7YJ333NzcqzamuiA1NVX/+c9/JEl//etfi/0JnDl3jMTExGJbG3l5eenZZ5/ViBEjirVjvu2zceNGbdy4UY899pjCwsKu2J75tl9YWJhmzpypm2++WS1bttTZs2cVHx+v1157TbGxsZowYYJWrlxp++WCOa+6rKwsSf+3jODpp5/WnXfeKVdXV23YsEFz5szRggUL1KpVK40cOVJS3Z5v1tACsMnJydGkSZOUmZmpwYMH67777qvpIdVJs2bNUnJysvbu3au1a9dqyJAhev755/X444/rwoULNT28OiEzM1Mvv/yyWrdurSlTptT0cK4ZjzzyiP785z+rXbt28vLyUmBgoIYPH67PP/9cvr6+2rt3b4k7iaiaoqIiSZf2FJ8wYYLGjRun5s2bKyAgQFFRUXryySclSQsWLKjJYV41BNoqsN6Bzc/PL7Xe+huQJO7OVqMrfR+sv2HyPaiYgoICTZw4UcnJybrlllv06quvlmjDnDuWt7e3OnTooH//+9+69957tW3bNi1btqxYvcR8V8Urr7wik8mkl156SZ6enhV6DfNdfZo3b6577rlHkvTdd9/Zypnzqrv8r8HWO7CXs96QSE9PV0pKSrHX1MX5JtBWQatWrSRJJ0+eLLXeWu7r6+uUPxTO4krfh1OnThVrh7JZLBZNnTpV8fHx6tKlixYsWFBsqYEVc159hg0bJqn47ijMd9Vt2bJFnp6eWrBggaKioop9nD59WpI0ffp0RUVF6auvvpLEfFe30nZOYc6rzrpjh4eHR4mTwKRLobRJkyaSZPuZr8vzTaCtgg4dOki6dNpGaQ4ePChJCg0NvWpjuhZZvw/WU5Z+z/r9qcjauWtZUVGRnn76acXGxiosLEyLFy8u9pv/5Zjz6mP9h+fs2bO2MubbPgUFBYqPjy/xYTabJUlJSUmKj4+3/ePOfFcv65rPy9dvMudVZ91RyWw2l7rm9eLFi8rOzpb0f3dm6/J8E2irICIiQr6+vkpNTVVSUlKJ+piYGEnSgAEDrvbQrinWc+83btwo43cnOGdkZGjPnj1yc3PTrbfeWhPDcwqGYei5557Thg0b1LZtWy1dulSNGzcusz1zXn3i4uIkSa1bt7aVMd9Vl5CQoOTk5FI/rHe2YmJilJycrEceeUQS812dDMPQ119/Lan4llHMedVdfmS59f8fl0tISJDFYpGXl5dt+666PN8E2ipwc3Oz7Wf40ksvKScnx1a3fv16xcbGys/Pr8QTy3Cs/v37q02bNvrpp5/0zjvv2MrNZrNeeOEFFRYWasSIEbY7Xyhp9uzZWrVqlYKCgrR8+XL5+/uX2545r7r9+/dr06ZNKiwsLFG3detWzZs3T1LxtXDM99XFfNvn4MGDWrdune0OuFVOTo6ee+45JSUlydvbu9i/jcy5fR577DFJ0pw5c5SammorP3XqlGbNmiVJuvfee21LyOryfLsYv4/oqBCz2ayxY8cqPj5e/v7+6t69u0wmkxISEuTu7q4FCxY45W84Nenbb78t9jTmwYMHZbFY1KFDB9t/jH379tXkyZNtbfbv36+oqCjl5eWpU6dOat26tX788UelpaUpJCREK1euVKNGja76e3EGmzdvts1ljx49ylwzNXDgQA0cOND2NXNeNdb59vHxUadOneTv76/s7GwdPXpUJ06ckCQ9+uijmj59erHXMd+O179/f6WlpSkmJkbt27cvVsd8V531Z7xx48bq3Lmz/Pz8ZDKZdOjQIWVlZcnb29u2H+3lmHP7vPjii/roo4/k7e2tiIgI1atXT3v37lV2dra6dOmi9957r9gyj7o63wRaO5jNZi1dulTR0dFKSUmRt7e3IiMjNXny5DJPEUPZVq9erRkzZpTbZvjw4Zo9e3axsuPHj+vNN9/Uzp07lZWVpRYtWui2227TpEmTeCivHBWZb0maMmWKpk6dWqyMOa+8U6dO6dNPP1V8fLxOnDihs2fPql69emrWrJm6du2q++67T926dSv1tcy3Y5UXaCXmu6pSUlK0fPlyJSUlKS0tTZmZmXJ3d1dgYKB69uypUaNGKSgoqNTXMuf2WbdunT788EP99NNPKiwsVJs2bTR06FCNHj261F0+6uJ8E2gBAADg1FhDCwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODUCLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpEWgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqbjU9gLpg7969MgxD7u7uNT0UAACAOsFiscjFxUVdu3a9YlsCrQMYhiHDMGp6GAAAAHVGZbIVgdYBrHdmw8PDa3gkAAAAdUNSUlKF27KGFgAAAE6NQAsAAACnRqAFAACAU2MNbTU6ceKETCZTuW0CAgIUHBx8lUYEAABQ9xBoq8mJEycUGhaqC/kXym1X36u+kg8nE2oBAACqiEBbTUwm06Uwe4+kgLIaSRdWX5DJZCLQAgAAVBGBtroFSGpV04MAAACou3goDAAAAE6NO7QAANQBFotFFy9erOlhAKVydXW1HURVHQi0AAA4sfPnz8tkMqmgoKCmhwKUy9PTUwEBAfLx8XF43wRaAACc1Pnz55WWlqaGDRsqICBA7u7ucnFxqelhAcUYhiGLxaKsrCylpaVJksNDLYEWAAAnZTKZ1LBhQwUFBRFkUat5eXmpUaNGSk1Nlclkcnig5aEwAACckMViUUFBgRo3bkyYhVNwcXFR48aNVVBQIIvF4tC+CbQAADgh6wNg1fmgDeBo1p9XRz/ASKAFAMCJcXcWzqS6fl4JtAAAAHBqBFoAAAA4NXY5AACgjjpx4oRMJlNND6NCAgICFBwc7JC++vfvb9seqjzJyckOud7Vtn//fo0YMUKSNHr0aD377LMO6Xf16tWaMWOGpkyZoqlTpzqkz6uFQAsAQB104sQJhYaF6kL+hZoeSoXU96qv5MPJDgu1ktS7d281bdrUYf3ZIy4uTqNGjdLw4cM1e/Zsu/pau3at7fP169fr73//u9zcru1Id22/ewAA6iiTyXQpzN4jKaCmR3MFJunC6gsymUwODbSPPfaYevTo4bD+agOLxaL169dLkpo1a6aMjAx999136t+/v919/+lPf9If/vAH+fn52d3X1UagBQCgLguQ1KqmBwFHiY2N1blz59SxY0cNGzZM//73v7VmzRqHBNpGjRqpUaNGDhjl1UegBQAA17xTp04pOjpa27Zts609btCggTp27KioqKgyA+OGDRv00Ucf6ddff1VmZqZ8fX0VGBiom2++WRMmTJCXl5eeeeYZrVmzRpK0Zs0a2+eSKr0Ewfrau+++W3feeafmzJmjrVu32q79exaLRWvXrtXnn3+ulJQUZWdny8/PT8HBwerZs6cmTZpka1vWGtqqzs3VRKAFAADXvE2bNum///2vWrdurXbt2qlr1646deqU4uLitGPHDj399NMaN25csdf873//0+LFi+Xu7q7IyEgFBATo3LlzOnbsmN5++209+OCD8vLyUmRkpE6fPq3t27crODhYkZGRtj4u//xKzp49q9jYWLm5uenOO+9UkyZN1KdPH23dulVffvmlHnrooRKvmT59ur788kt5e3srMjJSjRs3lslk0pEjR5SYmFgs0Dpybq42Ai0AALjmdevWTV988YXCwsKKlR87dkyPPPKI5s6dqzvuuEMtW7aUJBUUFGj58uVq0KCB1q5dW2Lt7w8//CAfHx9J0siRIxUcHKzt27crMjKyyg+Fffnll7JYLOrXr5/8/f0lScOGDdPWrVu1Zs2aEoE2NTVVX375pVq1aqVVq1apSZMmtrqioiLFx8dX6LqVnZuawD60AACgTho1apRCQ0NL/XjmmWeKtQ0LCysR2CSpTZs2mjRpkgoLC/XNN9/YynNzc1VQUKDrrruu1AfZunTpIm9vb4e+n8uXG1j1799fjRs3VlJSkn755Zdi7c+ePStJ6tChQ7EwK0n16tXTzTffXKHrVnZuagJ3aAEAQJ1U3rZdpf2p32KxaMeOHfrxxx9lMplksVhkGIZOnz4tSTp69KitbZMmTdSqVSsdPnxYr776qu677z61bt26et6IpJ9//lkHDhyQj4+PBgwYYCv38PDQ4MGD9cknn2jNmjV6+umnbXXt2rWTt7e3YmNj9c477+iuu+5S8+bNq3T9ysxNTSDQAgCAOqky23YdOXJEkyZN0rFjx8psk5ubW+zr2bNn66mnntKSJUu0ZMkSNW3aVBERERowYICGDBkid3d3e4ZfjPXu7O233y4PD49idcOGDdMnn3yi6OhoPfnkk3J1dZUkNWzYULNmzdLzzz+v//73v/rvf/+rwMBAdevWTYMGDVL//v1Vr96V/1hflbm52gi0AADgmjdt2jQdO3ZM9957rx588EG1bt1aDRo0UL169bR9+3aNHTtWhmEUe02PHj20ceNGbdu2Tdu3b1dCQoI2btyojRs3avHixfroo49s62jtcfHiRUVHR0u6dEDDgw8+WGq7jIwM7dixQ3369LGVDRkyRD179tS3336r77//XgkJCfriiy/0xRdf6KabbtLSpUuvGLyrMjdXG4EWAABc044cOaKff/5ZnTp10qxZs0rUHz9+vMzXNmjQQIMHD9bgwYMlSb/++qumT5+uffv2afHixfrb3/5m9/i+//5725/2jx07Vu6d0jVr1hQLtJLk6+urYcOGadiwYZKkpKQkPfnkk4qPj9fnn39eZkCW7Jubq4mHwgAAwDUtKytLksp8St96MldFtGvXTmPGjJEk/fTTT7Zy613QwsLCSo/PetTtpEmTlJycXOrHN998IxcXF23evFnZ2dnl9hceHq777ruvxBhL48i5qU4EWgAAcE1r06aN6tWrp507dxbbKaCoqEjz589XYmJiidekp6fr888/L7F21DAMbdu2TVLxENisWTNJl+7gVkZ2drY2b94sSbrzzjvLbBcYGKiIiAgVFBRow4YNkqSDBw/qq6++ktlsLtbW+oDX78dYmqrMTU2we8mBxWJx6KJnK7PZrGXLlik6OlopKSny9vZWt27dNHHiRHXq1KnC/VhPvShL27Zt9dVXXzliyAAAoBZZvHhxsVO5fu+JJ55Qq1at1KRJEz3wwANauXKlhg0bph49esjHx0dJSUlKT0/Xo48+qqVLlxZ7bVZWlv7xj3/o5ZdfVseOHRUYGCiz2awDBw4oLS1NTZo0KXbYQFBQkMLCwnTgwAHdc889uuGGG+Tm5qaIiAiNGDGizDFu2LBBBQUF6tSpk9q1a1fu+73zzju1Z88erVmzRvfdd5/S09M1bdo0eXt7q3PnzmrWrJny8/O1b98+nT59Wq1bt9b9999fbp9VmZuaYHeg7dOnj4YNG6aRI0eqffv2jhiTzGazxo4dq/j4ePn7+6tfv346ffq0Nm3apG+//VYLFy4ssT7kSsLCwtShQ4cS5WVt5wEAQJ1gqukBVEA1jXH79u3l1o8ePVqtWrWSJD3//PO6/vrr9cknn2jPnj3y9PRUly5d9Oqrr8psNpcIbdddd51mzJihXbt26eeff9bhw4fl7u6uFi1aaMKECYqKilJAQECx18yfP1+vvvqqdu/erUOHDqmoqEgXL14sN9BaA/ldd911xfc7ePBgzZo1S4mJiTp+/Lj+8Ic/6Mknn1RcXJyOHj2qH3/8UV5eXgoMDNSoUaP04IMPqlGjRlfst7JzUxNcDDsfSwsLC5OLi4skqWvXrho5cqRuv/121a9fv8p9vvXWW3rjjTcUHh6u9957Tw0bNpR0aZ3GU089JT8/P23evNlWXp6yziV2pKSkJEmX1qRYJSYmXtrj7jFJrcp4YbqkxdKePXsUERFRLWMDANRNFy5c0NGjR9W2bdtS/809ceKEQsNCdSH/Qg2MrvLqe9VX8uHkUg8pQN1xpZ/by5WWr8pi9x3a9957T59++qk2b96sxMRE7d27V7NmzdKdd96pkSNHqmPHjpXqr7CwUCtWrJAkzZw5s1hoHTp0qKKjoxUbG6tVq1Zp9OjR9g4fAIA6KTg4WMmHk2UyOcMtWikgIIAwiyqzO9DefPPNuvnmm5WVlaW1a9fq888/188//6yPPvpIH3/8sTp06KD77rtPQ4cOrdAd1cTERGVmZiooKKjURD5kyBDFxsZqy5YtBFoAAMoRHBxMSMQ1wWH70DZu3FijR4/W6NGj9eOPP+rTTz/Vhg0bdPDgQb300kv6z3/+o9tvv10jR45U165dy+zn0KFDklTmg1/WO77JycmVGt+BAwc0Z84cZWdny8/PT127dtWtt95qO00DAAAAzqlaDlb4wx/+oD/84Q/6xz/+oS+//FKff/65fvzxR61Zs0Zr1qzR9ddfr5EjR+qee+4pcdc2PT1dktSiRYtS+7aWZ2ZmKjc3Vw0aNKjQmLZu3aqtW7cWK2vTpo1ef/11hYWFVfYtAgAAoJao1n1ovb29FRQUpMDAQLm5uckwDBmGoZ9//lmvvPKK+vXrp/fee6/Ya/Ly8iRJXl5eZfZpVZFzg5s2baopU6Zo9erV2r17t3bu3KmlS5cqPDxcx44d0yOPPKKTJ09W/U0CAACgRlXLHdqMjAytXr1aq1atUmpqqgzDkLu7u4YMGaKRI0fqzJkz+vjjj5WQkKD//Oc/kqRHHnmkOoaiPn36lNjiq1evXurRo4dGjRqlPXv2aNGiRZo5c2a1XB8AAADVy2GBtqioSN98840+//xzbd++XRcvXpRhGAoODtZ9992ne+65R02aNLG1Hzp0qDZv3qypU6dq5cqVtkBrvQObn59f6nWsd3AlVXi5QWnc3Nw0fvx47dmzR7GxsVXuBwAAADXL7kB7/Phxff7551qzZo3OnDkjwzDk5uamQYMG6YEHHtAtt9xS5msHDhyoDh06FDtH2LrBcVnLAKzlvr6+dgVa6dIaWunSHWUAAAA4J7sD7eDBgyVdOrs4KChI9913n0aMGCF/f/8Kvb5Bgwa6ePGi7WvraV4HDhwotf3BgwclSaGhofYMW5J0/vx5ScXX5QIA4EzsPB8JuKqq6+fV7kBbr1499e/fX/fff7969+5d6dfPnTtXBQUFtq8jIiLk6+ur1NRUJSUlldiLNiYmRpI0YMAA+wYu6auvvpIkde7c2e6+AAC4mqzbTlosljIfpAZqG4vFIkkO3zbV7l0Ovv32W7355ptVCrPSpZNBAgMDbV+7ublp1KhRkqSXXnpJOTk5trr169crNjZWfn5+xc493rdvnwYPHmy7W2yVn5+vd999V+fOnStWXlRUpA8//FDLly+XJEVFRVVp7AAA1BR3d3d5enoqKyuLu7RwCoZhKCsrS56ennJ3d3do33bfoW3atKkjxlHM+PHjtWvXLsXHx2vQoEHq3r27TCaTEhIS5O7urjlz5hTbvzY/P19Hjx4t0Y/FYtGcOXM0b948de7cWS1btlReXp6Sk5OVnp4uFxcXTZ06Vf369XP4ewAAoLoFBAQoLS1Nqampaty4sdzd3eXi4lLTwwKKMQxDFotFWVlZysnJKXYj01HsDrQnTpxQdHS0OnfurD/+8Y9lttu6dasOHDigYcOGKSgoqNw+PTw89O6772rp0qWKjo7WN998I29vbw0YMECTJ08u8xSx36tfv74mTpyoH3/8UceOHdPBgwdVVFSkpk2baujQoXrooYcUERFRmbcLAECt4ePjI0kymUxKS0ur4dEA5fP09FRgYKDt59aR7A60n332mZYsWaL58+eX266oqEhvvfWWLl68qGnTpl2xXw8PD02YMEETJky4YtsePXqUehSuh4eH/vKXv1zx9QAAOCsfHx/5+PjIYrEUe8gaqE1cXV0dvszgcnYH2u+//16enp5X/LP9H//4R3l4eOi7776rUKAFAAAV5+7uXq2BAajN7H4oLD09Xa1atVK9euV35erqqsDAQP3222/2XhIAAACwsTvQ5uXlVXgfV29vb2VnZ9t7SQAAAMDG7kDr7++vY8eOXXHdzsWLF3Xs2DH5+fnZe0kAAADAxu5A26VLF+Xm5mrVqlXltlu9erVycnLUpUsXey8JAAAA2NgdaB944AEZhqFZs2Zp7dq1pbZZu3at/vWvf8nFxUUPPvigvZcEAAAAbOze5aBHjx66//779cknn2jGjBmaN2+e/vCHP8jHx0fnz5/Xjz/+qFOnTskwDN1///265ZZbHDFuAAAAQJIDAq0kvfjiiwoICNCSJUt08uRJnTx5slh9/fr1NX78eE2aNMkRlwMAAABsHBJorUfIPvTQQ4qNjdVPP/2knJwcNWzYUKGhobr11lvVpEkTR1wKAAAAKMYhgdaqSZMmGj58uCO7BAAAAMpl90NhAAAAQE1y6B1aSTp//rxyc3NlGEaZbVq1auXoywIAAOAa5ZBA+9tvv+mNN97QN998o/Pnz5fb1sXFRQcPHnTEZQEAAAD7A+3x48f1wAMPKDMzs9y7slYVaQMAAABUlN2Bdt68eTp37pzatm2rJ598Ul26dFFAQIBcXFwcMT4AAACgXHYH2l27dsnNzU1LlixRYGCgI8YEAAAAVJjduxzk5uaqbdu2hFkAAADUCLsDbatWrVgXCwAAgBpjd6AdMmSIfv31V6WkpDhiPAAAAECl2B1oH3/8cYWEhOivf/2rUlNTHTEmAAAAoMLsfijsnXfe0c0336wPPvhAd9xxh3r37q02bdrIy8urzNdMmTLF3ssCAAAAkhwQaOfPny8XFxcZhqHCwkJt2bKlzC27DMOQi4sLgRYAAAAOY3egHTZsGHvOAgAAoMbYHWhnz57tiHEAAAAAVWL3Q2EAAABATSLQAgAAwKnZveTA6vjx41q+fLl27typkydPqqCgQAcPHrTVf/bZZzp16pTGjBmjBg0aOOqyAAAAuMY5JNDGxMTo2WefVUFBge3UsN8/KJaVlaW33npL7du31+233+6IywIAAAD2Lzk4fPiw/v73v8tsNuuhhx7S+++/r06dOpVod9ttt8kwDG3ZssXeSwIAAAA2dt+hXbJkiS5evKgZM2Zo1KhRkiRPT88S7a677jo1adJESUlJ9l4SAAAAsLH7Dm18fLwaNGhgC7PladGihTIyMuy9JAAAAGBjd6A9e/asgoODK9TW1dVVhYWF9l4SAAAAsLE70DZs2FBnzpypUNv09HT5+fnZe0kAAADAxu5AGxoaqoyMDB05cqTcdnv27NGZM2d044032ntJAAAAwMbuh8LuuusuxcXF6cUXX9TChQvVsGHDEm3Onj2rF154QS4uLrrrrrvsvWSdc+jQoXLrAwICKrysAwAA4Fpjd6AdPny4Vq9erd27d+vuu+/WHXfcYVuCsGbNGiUnJ2vt2rXKzMxUr169NGjQILsHXWfkSHKRHn744XKb1feqr+TDyYRaAACAUtgdaOvVq6eFCxfqqaee0rZt2/TOO+/Y6p599llJkmEY6tWrl+bNm2fv5eqWC5IMSfdICiijjUm6sPqCTCYTgRYAAKAUDjkpzMfHR++884527typmJgYHT58WOfPn5e3t7dCQkJ0++23649//KMjLlU3BUhqVdODAAAAcE4OCbRWt9xyi2655RZHdgkAAACUy+5dDgAAAICaRKAFAACAU7N7yUFFjry9nIuLi5YvX27vZQEAAABJDgi08fHxV2zj4uIi6dJuB9bPAQAAAEewO9C+8sorZdbl5eXp2LFj+vLLL5Wdna0pU6aoWbNm9l4SAAAAsHHIwQpX8sQTT+jJJ5/UJ598ojVr1th7SQAAAMDmqjwU1qhRI/373/9WRkaG5s+ffzUuCQAAgGvEVdvloGnTprr++uu1ZcuWq3VJAAAAXAOu6rZdBQUFOn369NW8JAAAAOq4qxZoDx8+rOPHj8vPz+9qXRIAAADXALsfCktPTy+zzjAMnTlzRnv37tW7774rwzD0xz/+0d5LAgAAADZ2B9oBAwZUqJ1hGLruuus0bdo0ey8JAAAA2NgdaA3DKLfey8tLbdq0Uf/+/TVmzBg1bNjQ3ksCAAAANnYH2sOHDztiHAAAAECVXNVdDgAAAABHI9ACAADAqRFoAQAA4NSu2i4H5XFxcdHmzZvt7gcAAADXHrsDbVpamt2DcHFxsbsPAAAAXJvsDrQrVqzQDz/8oDfeeEMNGjTQvffeqxtuuEH+/v46c+aMfv75Z33++efKy8vTE088oT/84Q+OGDcAAAAgyQGB1tfXVwsXLlSfPn30v//9T97e3iXaTJ48WX/729+0YMECffrpp7rhhhvsvWytYzablZiYaPv60KFDNTgaAACAa4fdD4XNnz9fhmFozpw5pYZZSfL29tbs2bNlGIbmz59v7yVrpdTUVEVGRto+Hn744ZoeEgAAwDXB7ju0e/bs0fXXX69GjRqV287Hx0fXX3+9EhIS7L1k7eQj6bHLvv5Z0tYaGgsAAMA1xO5Am52dXead2d/LyspSTk5OhdqazWYtW7ZM0dHRSklJkbe3t7p166aJEyeqU6dOlR5nTEyM3n//fSUnJ0uSQkNDNWrUKN1+++2V7qtUrpJaXfa1yTHdAgAAoHx2LzkIDg5Wamqqdu7cWW67nTt3KiUlRUFBQVfs02w2a+zYsXrttdd07tw59evXT+3atdOmTZt0//33a9u2bZUa49y5c/XXv/5V+/fv10033aSbbrpJ+/fv11/+8he9/vrrleoLAAAAtYvdgfbuu++WYRiaOnWqPvjgA124cKFYfUFBgT788ENNmzZNLi4uGjZs2BX7fOeddxQfH6/w8HB9/fXXev3117Vy5Ur973//k8Vi0dNPP13hO70JCQl6++235ePjo7Vr1+rtt9/W22+/rbVr18rHx0cLFizQ3r17q/LWAQAAUAvYHWjHjBmjW265RTk5OZo1a5ZuueUWDR06VKNHj9bQoUN1880361//+pfOnz+vHj16aMyYMeX2V1hYqBUrVkiSZs6cqYYNG9rqhg4dqr59++rcuXNatWpVhca3ZMkSSdKECRPUvn17W3n79u31+OOPF2sDAAAA52N3oHVzc9OiRYs0YcIENWjQQPn5+frll18UFxenX375Rfn5+fL29tbjjz+uxYsXy82t/GW7iYmJyszMVFBQkMLDw0vUDxkyRJK0ZcuWK46toKBAO3bskKRS18pa+9q+fbvMZvMV+wMAAEDtY/dDYZLk4eGhv/zlL3r88ce1Z88e/frrr8rNzVWDBg3Url07RUZGysvLq0J9WfdvLevBr44dO0qS7eGu8hw9elQFBQXy8/NTq1atStS3atVKvr6+yszM1NGjRxUaGlqhMQIAAKD2cEigtfLy8lLv3r3Vu3fvKveRnp4uSWrRokWp9dbyzMxMW2gui/VY3rL6stZlZmYqPT2dQAsAAOCEHBpoHSEvL0+Syryje/kWYVcKtFfq6/L+cnNzKz1WK4vFohZeLbT21rX/V3iLpFGSGujSll6lqUibi5KGSIZhKCkpqcpjBAAAcCZms1kuLi4VauuwQHv8+HEtX75cO3fu1MmTJ1VQUKCDBw/a6j/77DOdOnVKY8aMKTeEOiMXFxe5u7qrXUC7mh4KAABAneDi4nJ1A21MTIyeffZZFRQUyDAM2yAul5WVpbfeekvt27cv9zAD6x3T/Pz8Uuutd10lXTEYX6mvy/uzJ2R37dq1yq8FAACAfeze5eDw4cP6+9//LrPZrIceekjvv/9+qQ903XbbbTIM44q7E1gf3jp58mSp9dZyX1/fK4bQwMDAcvu6vK60h8YAAABQ+9l9h3bJkiW6ePGiZsyYoVGjRkmSPD09S7S77rrr1KRJkyuuA+3QoYMk6cCBA6XWW5cxVOQBrrZt28rT01Pnzp1Tenp6idCanp6uzMxM1a9fX23btr1ifwAAAKh97L5DGx8frwYNGtjCbHlatGihjIyMcttERETI19dXqamppYbfmJgYSdKAAQOueD1PT0/17NlTkrRhw4Yy++rdu7c8PDyu2B8AAABqH7sD7dmzZxUcHFyhtq6uriosLCy3jZubmy0cv/TSS8WOuF2/fr1iY2Pl5+enESNG2Mr37dunwYMHa/DgwSX6GzdunCRp0aJFOnLkiK38yJEjWrRoUbE2AAAAcD52Lzlo2LChzpw5U6G26enp8vPzu2K78ePHa9euXYqPj9egQYPUvXt3mUwmJSQkyN3dXXPmzCl2JG5+fr6OHj1aal/dunXT448/rkWLFmn48OG2O7Y7duxQQUGBJk2axENdAAAATszuQBsaGqr4+HgdOXJE7du3L7Pdnj17dObMGQ0cOPCKfXp4eOjdd9/V0qVLFR0drW+++Ube3t4aMGCAJk+eXOYpYmV58sknFRYWphUrViguLk7SpRPHRo8eXe6OCwAAAKj9XAzrPltVtGrVKv3jH/9Q9+7dtXDhQjVs2FB//vOftXfvXtsxtmfPnlVUVJR+/fVXvf766xo0aJBDBg8AAADYfYd2+PDhWr16tXbv3q27775bd9xxh20Jwpo1a5ScnKy1a9cqMzNTvXr1IswCAADAoey+QytJ58+f11NPPaVt27aVeqKDYRjq1auX5s2bp0aNGtl7OQAAAMDGIYHWaufOnYqJidHhw4d1/vx5eXt7KyQkRLfffrv++Mc/OuoyAAAAgI3dgXb37t2SpC5dusjd3d0hgwIAAAAqyu5AGxYWphYtWujbb7910JCch9ls1rJlyxQdHa2UlBR5e3urW7dumjhxYqV3YsCl0+F27NihpKQk7d+/X2lpaZKkLVu2KCgoqMzXnThxQm+++aZ27typrKwstWjRQrfddpsmTpx4xeORr2UWi0VxcXH69ttvFRcXp5SUFF28eFEtWrRQ7969NW7cONvx0b/HnFfNJ598op07dyo5OVlnzpxRbm6uGjdurPDwcD3wwAPq169fqa9jvh3DMAyNHj3atttNTExMqbvzMN9V98wzz2jNmjVl1t9///16+eWXS5Qz5/bJzs7W0qVLtXnzZqWmpkqSmjdvrsjISD3xxBNq3rx5sfZ1cb7tDrQ9evRQ69at9emnnzpqTE7BbDZr7Nixio+Pl7+/v7p3767Tp09rz549cnd318KFC9WnT5+aHqZTmTRpkrZs2VKivLxAe+DAAUVFRSk3N1edOnVScHCw9u3bp7S0NIWEhGjlypWs2y7Djh07NGbMGElSy5Ytbb+E7du3TxkZGWrYsKGWLFlSYp9m5rzqBg8erJSUFIWEhKh58+aqX7++UlJStH//fknSo48+qunTpxd7DfPtOB9//LFmzpwpFxcXGYZRaqBlvu1jDbS9e/dW06ZNS9T36NFDw4cPL1bGnNvnl19+0ZgxY5SRkaHWrVsrLCxMFotFJ06c0C+//KIPP/xQ3bp1s7Wvs/Nt2Onhhx82evXqZW83Tmf+/PlGSEiIMWLECCM7O9tWvm7dOiMkJMTo0aNHsXJc2aJFi4y5c+camzZtMk6ePGn07NnTCAkJMVJSUkptX1hYaAwaNMgICQkxFi1aZCsvKCgwHn/8cSMkJMR4/vnnr9bwnc6OHTuMqVOnGomJicXKL1y4YDzzzDNGSEiI0a9fP8NsNtvqmHP7JCYmGjk5OSXKd+/ebXTp0sUICQkxfvjhB1s58+04v/32mxEREWGMHTvW6NevnxESEmL88ssvxdow3/abPn26ERISYuzatatC7Zlz+2RlZRl9+vQxOnfubERHR5eoP378uHHmzBnb13V5vu0OtOvWrTNCQ0ON9evXO2I8TsFisRg33XSTERISYuzbt69E/fjx442QkBDjvffeq4HR1R1XCrQbN240QkJCjKFDhxpFRUXF6k6dOmV07NjR6Nixo3H27NmrMdw6JT8/34iMjDRCQkKMuLg4WzlzXn1mzJhhhISEGAsXLrSVMd+OM378eKNLly5GampqmYGW+bZfZQMtc26fWbNmGSEhIcayZcsq1L4uz3c9e+/wDh06VKNHj9azzz6rxYsX6+zZs464cVyrJSYmKjMzU0FBQQoPDy9RP2TIEEkq9c/ncJytW7dKkm677bYS28U1a9ZMkZGRKiwsVGxsbE0Mz6nVr19fbdq0kSRlZGTYypnz6uPmdmlbcA8PD1sZ8+0Ya9euVWxsrKZNm1bmunCJ+a4JzHnVFRQUaPXq1fLy8tL9999fodfU5fm2+2CFAQMGSJIKCws1d+5czZ07V35+fvLy8iq1vYuLizZv3mzvZWuU9QS0sh786tixoyQpOTn5qo3pWmT9PnTu3LnU+k6dOikuLk6HDx++msOqEy5evGh7KC8gIMBWzpxXj0OHDmnDhg1ydXUttvae+bafyWTSK6+8ovDwcI0aNarctsy342zatEmbNm2S2WxWy5Yt1atXL914440l2jHnVbd//35lZ2crMjJSXl5e2rlzp7Zt26acnBwFBQVp4MCBateuXbHX1OX5tjvQWv/Ru1x5d2lLO3jB2aSnp0uSWrRoUWq9tTwzM1O5ublO+8RgbXel74P1qU5rO1TcF198obNnz6pJkyaKiIiwlTPnjrFq1Srt3r1bFotFaWlp+uGHH+Tm5qYXX3xRN9xwg60d822/l19+WTk5OfrXv/6levXK/6Mk8+0477//frGv582bp759+2rOnDny9fW1lTPnVffLL79Ikvz9/fXEE09o48aNxernzp2rCRMmaNq0abayujzflQ60OTk5cnV1td2BXbFihcMHVdvl5eVJUpl3ob29vW2fE2irz5W+D9Z5z83NvWpjqgtSU1P1n//8R5L017/+tdifwJlzx0hMTCy2tZGXl5eeffZZjRgxolg75ts+Gzdu1MaNG/XYY48pLCzsiu2Zb/uFhYVp5syZuvnmm9WyZUudPXtW8fHxeu211xQbG6sJEyZo5cqVtl8umPOqy8rKkvR/ywiefvpp3XnnnXJ1ddWGDRs0Z84cLViwQK1atdLIkSMl1e35rnSg7datm7p166YPPvhAknTTTTfZ6rZs2SJfX19FRkY6boQArpqcnBxNmjRJmZmZGjx4sO67776aHlKdNGvWLM2aNUt5eXk6fvy43n//fT3//PP6+uuvNX/+fNWvX7+mh+j0MjMz9fLLL6t169aaMmVKTQ/nmvHII48U+zowMFDDhw9Xz549ddddd2nv3r3auHGjbr/99poZYB1SVFQk6dKe4lOnTtW4ceNsdVFRUSosLNTs2bO1YMECW6Cty6r0UJhRxta1kydP1ty5c+0akDOw3oHNz88vtd76G5Ak7s5Woyt9H6y/YfI9qJiCggJNnDhRycnJuuWWW/Tqq6+WaMOcO5a3t7c6dOigf//737r33nu1bds2LVu2rFi9xHxXxSuvvCKTyaSXXnpJnp6eFXoN8119mjdvrnvuuUeS9N1339nKmfOqu/yvwaUFVusNifT0dKWkpBR7TV2cb7t3Ofi9ssJuXdKqVStJ0smTJ0utt5b7+vo65Q+Fs7jS9+HUqVPF2qFs1t/w4+Pj1aVLFy1YsKDYUgMr5rz6DBs2TFLx3VGY76rbsmWLPD09tWDBAkVFRRX7OH36tCRp+vTpioqK0ldffSWJ+a5upe2cwpxXnXXHDg8PjxIngUmXQmmTJk0kyfYzX5fn2+GB9lrQoUMHSZdO2yjNwYMHJUmhoaFXbUzXIuv3wXrK0u9Zvz8VWTt3LSsqKtLTTz+t2NhYhYWFafHixcV+878cc159rP/wXP5QLfNtn4KCAsXHx5f4MJvNkqSkpCTFx8fb/nFnvquXdc3n5es3mfOqs+6oZDabS13zevHiRWVnZ0v6vzuzdXm+CbRVEBERIV9fX6WmpiopKalEfUxMjKT/29IM1cN67v3GjRtL/GUgIyNDe/bskZubm2699daaGJ5TMAxDzz33nDZs2KC2bdtq6dKlaty4cZntmfPqExcXJ0lq3bq1rYz5rrqEhAQlJyeX+mG9sxUTE6Pk5GTbuk/mu/oYhqGvv/5aUvEto5jzqrv8yHLr/z8ul5CQIIvFIi8vL9v2XXV5vgm0VeDm5mbbz/Cll15STk6OrW79+vWKjY2Vn59fiSeW4Vj9+/dXmzZt9NNPP+mdd96xlZvNZr3wwgsqLCzUiBEjbHe+UNLs2bO1atUqBQUFafny5fL39y+3PXNedfv379emTZtUWFhYom7r1q2aN2+epOJr4Zjvq4v5ts/Bgwe1bt062x1wq5ycHD333HNKSkqSt7d3sX8bmXP7PPbYY5KkOXPmKDU11VZ+6tQpzZo1S5J077332paQ1eX5djEqueg1LCxMkZGR+vDDDytVV9eYzWaNHTtW8fHx8vf3V/fu3WUymZSQkCB3d3ctWLDAKX/DqUnffvutFixYYPv64MGDslgs6tChg+0/xr59+2ry5Mm2Nvv371dUVJTy8vLUqVMntW7dWj/++KPS0tIUEhKilStXqlGjRlf9vTiDzZs32+ayR48eZa6ZGjhwoAYOHGj7mjmvGut8+/j4qFOnTvL391d2draOHj2qEydOSJIeffRRTZ8+vdjrmG/H69+/v9LS0hQTE6P27dsXq2O+q876M964cWN17txZfn5+MplMOnTokLKysuTt7W3bj/ZyzLl9XnzxRX300Ufy9vZWRESE6tWrp7179yo7O1tdunTRe++9V2yZR12d7yoF2latWtmeVrzc/Pnzy6y7XF3ZQsVsNmvp0qWKjo5WSkqKvL29FRkZqcmTJ5d5ihjKtnr1as2YMaPcNsOHD9fs2bOLlR0/flxvvvmmdu7cqaysLLVo0UK33XabJk2axEN55ajIfEuX/nudOnVqsTLmvPJOnTqlTz/9VPHx8Tpx4oTOnj2revXqqVmzZuratavuu+8+devWrdTXMt+OVV6glZjvqkpJSdHy5cuVlJSktLQ0ZWZmyt3dXYGBgerZs6dGjRqloKCgUl/LnNtn3bp1+vDDD/XTTz+psLBQbdq00dChQzV69OhSd/moi/NdpUBb1mlf1q6udBqY9eg1AAAAwF6VPlihe/fu1TEOAAAAoEoqfYcWAAAAqE3Y5QAAAABOjUALAAAAp0agBQAAgFMj0AIAAMCpEWgBAADg1Ai0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqAFAACAUyPQAgAAwKkRaAEAAODUCLQAAABwagRaAAAAODUCLQAAAJwagRYAAABOjUALAAAAp0agBQAAgFNzq+kB1AV79+6VYRhyd3ev6aEAAADUCRaLRS4uLuratesV2xJoHcAwDBmGUdPDAAAAqDMqk60ItA5gvTMbHh5ewyMBAACoG5KSkircljW0AAAAcGoEWgAAADg1Ai0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQ4WAEAgFrAYrHo4sWLNT0MoFq4urraDqKqDgRaAABq0Pnz52UymVRQUFDTQwGqlaenpwICAuTj4+Pwvgm0AADUkPPnzystLU0NGzZUQECA3N3d5eLiUtPDAhzKMAxZLBZlZWUpLS1Nkhweagm0AADUEJPJpIYNGyooKIggizrNy8tLjRo1Umpqqkwmk8MDLQ+FAQBQAywWiwoKCtS4cWPCLK4JLi4uaty4sQoKCmSxWBzaN4EWAIAaYH0ArDoflAFqG+vPu6MfgCTQAgBQg7g7i2tJdf28E2gBAADg1Ai0AAAAcGrscgAAQC114sQJmUymmh5GhQQEBCg4ONhh/SUkJOjDDz/U3r17ZTKZ5OnpqSZNmqht27bq1q2bhgwZoqCgIIddz5FWr16tGTNmaMqUKZo6darD+zeZTOrbt68KCws1cOBAvfXWWw7pNy4uTqNGjdLw4cM1e/Zsh/R5tRBoAQCohU6cOKGw0DDlX8iv6aFUiFd9Lx1OPuyQULt48WK99tprMgxDbdq0UZ8+fVS/fn2lpqZqx44dio2Nlbe3tx5++GEHjLzyoqKiFB8fry1bttRIqF63bp0KCwslSbGxsTp79qyaNGly1cdRmxBoAQCohUwmk/Iv5Ose3aMABdT0cMplkkmrL6yWyWSyO9AePHhQr732mlxdXfXf//5Xt99+e7H67Oxsff311woIqN1zUp3WrFkjSWrWrJkyMjL05ZdfKioqyu5+b7zxRsXExKhRo0Z293W1EWgBAKjFAhSgVmpV08O4ajZu3CjDMDR48OASYVaSGjVqpBEjRtTAyGqHQ4cOKTk5Wf7+/nruuef0xBNPaM2aNQ4JtF5eXmrfvr0DRnn18VAYAACoNc6ePStJ8vf3r/Rri4qK9Nlnn+mBBx5QRESEbrzxRt1xxx16/fXXlZOTU6L9m2++qdDQUK1evbrU/p555hmFhoYqLi5OkpSamqrQ0FDFx8dLkgYMGKDQ0FDbR2pqaok+Tp06pRkzZqhXr14KDw/X7bffrhUrVlT6vVlZ787ecccd6t+/v/z8/HTgwAH99NNPZb5mw4YNGjVqlHr37q3OnTurd+/euv/++zV37lzl5//fkpa4uDiFhobqmWeeKfb6rKwsffDBBxo3bpz69++v8PBwdevWTQ8++GCZc3e1cYcWAADUGi1atJB06U7t+PHj1bRp0wq9rqioSNOmTdPXX3+t+vXrq0ePHvLy8tLu3bu1YMECbdy4UR988IFda029vb01fPhwbdu2TSaTSbfddpu8vb2L1V8uPT1dI0aMkJubm7p3765z585pz549mjVrlrKzszV58uRKXb+wsFDr16+XJA0bNkzu7u6644479MEHH2jNmjWaPn16idf873//0+LFi+Xu7q7IyEgFBATo3LlzOnbsmN5++209+OCD8vLyKve6iYmJ+uc//6mWLVuqdevW6tKli0wmk/bu3avExEQlJSVp5syZlXovjkagBQAAtcZdd92ld955RydPntSgQYM0YMAARUZGqmPHjurQoYM8PDxKfd3777+vr7/+WkFBQVqxYoUCAwMlSXl5eZo6daq2b9+uF198UW+88UaVx9akSRPNnj1bUVFRMplM+vvf/17uQ2GrV6/WAw88oOeff15ubpci1549e/Twww9ryZIlGjNmTIkQXJ7vvvtOZ86cUUhIiDp16iTpUrD94IMPtG7dOv3tb3+Tq6urrX1BQYGWL1+uBg0aaO3atSXWN//www/y8fG54nXbt2+vjz76SBEREcXKT58+rfHjx2vlypW6++671aVLlwq/F0djyQEAAKg1rrvuOi1atEiBgYHKy8vTunXr9OKLL+q+++5T9+7dNW3aNCUnJ5d43fLlyyVJTz/9tC3MSpfumr788styd3fX119/rbS0tKv2Xlq1aqVnn33WFmYlKTIyUn369FFeXp72799fqf7Wrl0rSbr77rttZeHh4br++ut1+vRpbd++vVj73NxcFRQU6Lrrriv1Yb0uXbpUKFAHBweXCLOS1LRpUz399NOSLt1Rr0ncoa1GFdk/0NH79gEA4Ox69OihjRs3atu2bfr+++/1448/6vDhw7pw4YK++uorbdmyRfPmzdPAgQMlSb/99pvS0tJUv359DRo0qER/gYGBuummm/T9998rISGhWOCt7vfh6elZorxdu3aKjY1VRkZGhfvKzMzUN998I1dXV915553F6u6++27973//05o1a9S3b19beZMmTdSqVSsdPnxYr776qu677z61bt26Su/FMAzt3r1bCQkJysjIUEFBgQzDUG5uriTp2LFjVerXUQi01aSi+wc6ct8+AADqCnd3d/Xv31/9+/eXdOlu45YtW/S///1PJ0+e1D/+8Q/17NlT3t7eOnXqlKRLd0Tr1Sv9j8/WpQHWtldDy5YtSy1v0KCBJMlsNle4ry+//FIWi0W9e/dW8+bNi9Xdddddmjt3rr755hudP3++2DKC2bNn66mnntKSJUu0ZMkSNW3aVBERERowYICGDBkid3f3K1779OnTmjx5sn788ccy25T20N3VRKCtJhXZP9CR+/YBAFCXNWjQQHfddZdCQkJ09913KzMzU4mJierdu3e1XbOoqMiu15cVrqvCutzg119/1YMPPlii3s3NTQUFBYqJidEDDzxgK7/8bvf27duVkJCgjRs3auPGjVq8eLE++uijK66jfe655/Tjjz+qf//+GjdunNq3b69GjRrJ1dVVR48e1eDBgx32PquKQFvNrrX9AwEAqE5hYWHy9fVVZmamzp07J0m2O5bp6ekqKioqNUha185efnfTenfS+mfz3/vtt98cOvaqOnLkiPbt2yfp0ntMT08vs+2aNWuKBVrp0i8DgwcPtgXPX3/9VdOnT9e+ffu0ePFi/e1vfyuzv7y8PH333Xfy9/fX/Pnziz10Jl36i3RtwENhAACg1jAMo9z6zMxMZWVlSfq/Lb5atmypwMBAXbhwQV9//XWJ16SnpysuLk4uLi7q1q2brbxZs2aSpKNHj5Z4zdmzZ3XgwIFSx2ANwhcvXqzAO7Lf5Q+DJScnl/rxww8/yNvbWz/88EOp7+dy7dq105gxYySp3P1rpUsnsxUVFalZs2YlwqwkRUdHV+1NORiBFgAA1Brz5s3T7NmzSw1l586d09///ncZhqGWLVsW2yZq1KhRkqT//ve/xe5g5ufn68UXX5TFYtGgQYOKPRB20003ycXFRV988UWx62VnZ+vZZ58t886tNQgfOXLErvdaEUVFRbbQ+PuHwS7n5eVle0jOGoDT09P1+eefl3gfhmFo27Ztkspe52sVEBAgHx8f/fTTT7YDJqxWrVqlL7/8slLvp7rU2iUHZrNZy5YtU3R0tFJSUuTt7a1u3bpp4sSJtr3XKmL16tWaMWNGmfVt27bVV1995YghAwAAO+Xl5WnFihVatmyZgoODdcMNN8jLy0sZGRnat2+fLly4oIYNG+q///1vsQeaRo0apYSEBG3atElDhgzRzTffLE9PTyUkJMhkMql9+/YlNv8PCgrSvffeq88++0z33HOP7e7tvn371KRJEw0YMEBbtmwpMcaBAwdqzZo1+tvf/qbevXurUaNGkqS//e1v8vPzc+h87Ny5UydPnlRAQIB69uxZbts777xT0dHR+uKLLzRt2jRlZWXpH//4h15++WV17NhRgYGBMpvNOnDggNLS0tSkSRONGzeu3D5dXV31+OOP69VXX9Ujjzyi7t27q2nTpvrpp5/0008/6bHHHtPixYsd+ZarpFYGWrPZrLFjxyo+Pl7+/v7q16+fTp8+rU2bNunbb7/VwoUL1adPn0r1GRYWpg4dOpQor+gJJAAA1ASTyt/+sTZw5BgnTpyoG2+8UTt27NDBgwe1d+9eZWVlycvLS+3bt1fv3r310EMPlXjSv169enrjjTf0+eefa9WqVYqLi1NhYaGuu+46jRw5UuPGjVPDhg1LXO/FF19UixYttHbtWu3cuVN+fn4aMmSI/vrXv+rf//53qWMcOHCgnn/+eX3yySf69ttvVVBQYBu7owOt9ajb22+/vdQ/+V+uZ8+e8vf312+//aZdu3bpxhtv1IwZM7Rr1y79/PPPOnz4sNzd3dWiRQtNmDBBUVFRCggo/cH1y40bN06tWrXS0qVLtX//ftWrV08dOnTQ4sWL1b59+1oRaF2MKy1WqQFvvfWW3njjDYWHh+u9996z/QCuX79eTz31lPz8/LR58+ZSfzB/z3qHdsqUKZo6dWq1jDcpKUnSpc2NrRITExUZGanH9FiZD4WlK12LtVh79uwpdcNiAEDddeHCBR09elRt27ZV/fr1S9RXdPvH2oJtKFERV/q5v1xp+aoste4ObWFhoVasWCFJmjlzZrHQOnToUEVHRys2NlarVq3S6NGja2qYAABUq+DgYB1OPnzFA3pqCw4KQk2qdYE2MTFRmZmZCgoKKjWRDxkyRLGxsdqyZQuBFgBQpwUHBxMSgQqodYH20KFDklTmg18dO3aUpFLPcS7PgQMHNGfOHGVnZ8vPz09du3bVrbfeesX1KAAAAKjdal2gtW61Yd1b7ves5ZmZmcrNzbUdH3clW7du1datW4uVtWnTRq+//rrCwsLsGDEAAABqUq3bhzYvL0/Spf3USuPt7W37vKz94S7XtGlTTZkyRatXr9bu3bu1c+dOLV26VOHh4Tp27JgeeeQRnTx50jGDBwAAwFVX6wKto/Xp00dTp05Vp06d5OPjoyZNmqhXr176+OOPFRkZqXPnzmnRokU1PUwAAABUUa0LtNY7sPn5pW9TYr2DK6nCyw1K4+bmpvHjx0uSYmNjq9wPAAAAalatC7StWl3as7WsZQDWcl9fX7sCrXRpDa0kZWRk2NUPAAAAak6tC7TW07wOHDhQav3BgwclSaGhoXZf6/z585KKr8sFAOBqqoXnGwHVprp+3mtdoI2IiJCvr69SU1NtJ0RcLiYmRpI0YMAAu6/11VdfSZI6d+5sd18AAFSGddtIi8VSwyMBrh7rz7ujt02tdYHWzc1No0aNkiS99NJLysnJsdWtX79esbGx8vPz04gRI2zl+/bt0+DBgzV48OBifeXn5+vdd9/VuXPnipUXFRXpww8/1PLlyyVJUVFR1fV2AAAolbu7uzw9PZWVlcVdWlwTDMNQVlaWPD095e7u7tC+a90+tJI0fvx47dq1S/Hx8Ro0aJC6d+8uk8mkhIQEubu7a86cOcWOxM3Pz9fRo0dL9GOxWDRnzhzNmzdPnTt3VsuWLZWXl6fk5GSlp6fLxcVFU6dOVb9+/a7m2wMAQNKl42LT0tKUmpqqxo0by93dXS4uLjU9LMChDMOQxWJRVlaWcnJyFBgY6PBr1MpA6+HhoXfffVdLly5VdHS0vvnmG3l7e2vAgAGaPHlymaeI/V79+vU1ceJE/fjjjzp27JgOHjyooqIiNW3aVEOHDtVDDz2kiIiIan43AACUzsfHR5JkMpmUlpZWw6MBqpenp6cCAwNtP/eOVCsDrXQp1E6YMEETJky4YtsePXqUehSuh4eH/vKXv1TD6AAAcAwfHx/5+PjIYrHo4sWLNT0coFq4uro6fJnB5WptoAUA4Fri7u5erf/gA3VZrXsoDAAAAKgMAi0AAACcGoEWAAAATo1ACwAAAKdGoAUAAIBTI9ACAADAqRFoAQAA4NQItAAAAHBqBFoAAAA4NQItAAAAnBqBFgAAAE6NQAsAAACnRqDF/2vvzuOqLPP/j79RUCAXFBRFcp0OKtKoYJa55JKa2ZRR6UzjUmru1UzjmE1l1mjlzGSTpjk1apZN9c0lNczUlCxUJFRcCNNMFnNBBQGBc5D794e/c8YzHBZZPNz4ej4ePB5yXdd939f5HIo397nu+wYAADA1Ai0AAABMjUALAAAAUyPQAgAAwNQItAAAADA1Ai0AAABMjUALAAAAUyPQAgAAwNQ83T0BSImJiSX2BwQEqGXLltdpNgAAAOZCoHWjbGXLQx76/e9/X+I4H28f/ZD0A6EWAADABQKtG+UpT4YMPagHFaAAl2PSla7VeauVnp5OoAUAAHCBQFsNBChAQQpy9zQAAABMiYvCAAAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGqe7p5ATWG1WhUfH+/4PjEx0Y2zAQAAuHEQaCtJamqqHnjgAXdPAwAA4IZDoK0kDdRAT+gJx/c/6kdt0zY3zggAAODGQKCtJLVVW0EKcnyfrnQ3zgYAAODGwUVhAAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1KrtgxWsVquWLVumdevWKSUlRb6+voqIiNCkSZMUGhp6zfuLiorSBx98oKSkJElSSEiIRo0apXvuuaeypw4AAIDrqFoGWqvVqrFjxyo2Nlb+/v7q27evzp49q82bN2v79u1avHixevXqVeb9zZ8/X++8847q1KmjO++8U5L03Xff6emnn9aRI0f01FNPVdVLAQAAQBWrloH23XffVWxsrMLCwrR8+XLVq1dPkrRhwwY988wzmj59urZs2eJoL0lcXJzeeecdNWjQQB9//LHatWsnSTp27JhGjBihRYsWqXfv3urSpUuVviYAAABUjWq3hragoEArVqyQJM2aNcsptA4dOlR9+vTRhQsXtGrVqjLt77333pMkTZw40RFmJaldu3aaMGGC0xgAAACYT7ULtPHx8crIyFBwcLDCwsKK9A8ZMkSStHXr1lL3lZ+fr5iYGElyuVbWvq9vv/1WVqu1ItMGAACAm1S7QJuYmChJxV741bFjR0lyXNxVkuPHjys/P1+NGjVSUFBQkf6goCD5+fkpLy9Px48fr8CsAQAA4C7VLtCePHlSktSsWTOX/fb2jIwM5eTklLivtLS0Evd1dZ/9uAAAADCXandR2KVLlyRJPj4+Lvt9fX0d/87JydFNN91U7n1dvb/SwnFJbDabfJr5qPfa3o62O3SHRmmUbtJNqq3aLrcry5jLuqwhGiLDMHTgwIFyzxEAAMBMrFarPDw8yjS22gVaM/Lw8FBtr9oKaBvg7qkAAADUCB4eHuYNtPYzprm5uS777WddJZV4drYs+7p6f6XtqyTc8gsAAMB9qt0aWvvFW6dOnXLZb2/38/MrNYS2aNGixH1d3efqojEAAABUf9Uu0Hbo0EGSdOjQIZf9hw8flnTl0bWladOmjerWrasLFy64vOjr5MmTysjIkLe3t9q0aVOBWQMAAMBdql2g7dq1q/z8/JSamuryIqioqChJUv/+/UvdV926ddWjRw9J0saNG4vdV8+ePVWnTp2KTBsAAABuUu0Craenp0aNGiVJmj17trKzsx19GzZsUHR0tBo1aqTIyEhHe0JCggYPHqzBgwcX2d+4ceMkSUuWLNGxY8cc7ceOHdOSJUucxgAAAMB8qt1FYZI0fvx47dq1S7GxsRo4cKC6deum9PR0xcXFycvLS/PmzXN6JG5ubm6xD0aIiIjQhAkTtGTJEg0bNsxxxjYmJkb5+fmaPHkyF3UBAACYmIdhGIa7J+GK1WrV0qVLtW7dOqWkpMjX11fh4eGaMmVKkaeI7d6923FWt7gniEVFRWnFihWO/pCQEI0ePdrlI3EBAABgHtU20AIAAABlUe3W0AIAAADXgkALAAAAUyPQAgAAwNQItAAAADC1annbLrOwWq1atmyZ050YIiIiNGnSpCJ3YkDpDh06pJiYGB04cEAHDx5UWlqaJGnr1q0KDg4udrvk5GQtWLBAO3fuVGZmppo1a6ZBgwZp0qRJpT4e+UZms9m0e/dubd++Xbt371ZKSoouX76sZs2aqWfPnho3bpzj8dH/i5qXzyeffKKdO3cqKSlJ586dU05Ojho2bKiwsDCNGDFCffv2dbkd9a4chmFo9OjR2r17t6Qrd79p165dkXHUu/yeffZZrVmzptj+4cOH6+WXXy7STs0rJisrS0uXLtWWLVuUmpoqSQoMDFR4eLiefPJJBQYGOo2vifXmLgflZLVaNXbsWMXGxsrf31/dunXT2bNn9f3338vLy0uLFy9Wr1693D1NU5k8ebK2bt1apL2kQHvo0CGNHDlSOTk5Cg0NVcuWLZWQkKC0tDRZLBZ99NFHql+/flVP3ZRiYmL02GOPSZKaN2/u+CMsISFBZ86cUb169fTee+8VuU8zNS+/wYMHKyUlRRaLRYGBgfL29lZKSooOHjwoSXr88cc1Y8YMp22od+X5+OOPNWvWLHl4eMgwDJeBlnpXjD3Q9uzZU02aNCnS3717dw0bNsypjZpXzNGjR/XYY4/pzJkzatWqldq3by+bzabk5GQdPXpUK1euVEREhGN8ja23gXJZuHChYbFYjMjISCMrK8vRvn79esNisRjdu3d3akfplixZYsyfP9/YvHmzcerUKaNHjx6GxWIxUlJSXI4vKCgwBg4caFgsFmPJkiWO9vz8fGPChAmGxWIxXnjhhes1fdOJiYkxpk2bZsTHxzu15+XlGc8++6xhsViMvn37Glar1dFHzSsmPj7eyM7OLtK+Z88eo3PnzobFYjH27dvnaKfeleeXX34xunbtaowdO9bo27evYbFYjKNHjzqNod4VN2PGDMNisRi7du0q03hqXjGZmZlGr169jE6dOhnr1q0r0n/ixAnj3Llzju9rcr0JtOVgs9mM2267zbBYLEZCQkKR/vHjxxsWi8VYvny5G2ZXc5QWaDdt2mRYLBZj6NChRmFhoVPf6dOnjY4dOxodO3Y0zp8/fz2mW6Pk5uYa4eHhhsViMXbv3u1op+ZVZ+bMmYbFYjEWL17saKPelWf8+PFG586djdTU1GIDLfWuuGsNtNS8YubMmWNYLBZj2bJlZRpfk+vNRWHlEB8fr4yMDAUHByssLKxI/5AhQyTJ5cfnqDzbtm2TJA0aNEgeHh5OfU2bNlV4eLgKCgoUHR3tjumZmre3t1q3bi1JOnPmjKOdmlcdT88rlzTUqVPH0Ua9K8fatWsVHR2tp556qth14RL1dgdqXn75+flavXq1fHx8NHz48DJtU5PrzUVh5ZCYmChJxV741bFjR0nFP4YXlcP+PnTq1Mllf2hoqHbv3q0ffvjhek6rRrh8+bLjoryAgABHOzWvGomJidq4caNq167ttPaeeldcenq6Xn31VYWFhTkekV4c6l15Nm/erM2bN8tqtap58+a68847deuttxYZR83L7+DBg8rKylJ4eLh8fHy0c+dO7dixQ9nZ2QoODtaAAQPUtm1bp21qcr0JtOVw8uRJSVKzZs1c9tvbMzIylJOTY9orBqu70t4H+1Wd9nEou88//1znz59X48aN1bVrV0c7Na8cq1at0p49e2Sz2ZSWlqZ9+/bJ09NTL730km655RbHOOpdcS+//LKys7P117/+VbVqlfyhJPWuPB988IHT92+++ab69OmjefPmyc/Pz9FOzcvv6NGjkiR/f389+eST2rRpk1P//PnzNXHiRD311FOOtppcbwJtOVy6dEmS5OPj47Lf19fX8W8CbdUp7X2w1z0nJ+e6zakmSE1N1euvvy5J+sMf/uD0ETg1rxzx8fFOtzby8fHRc889p8jISKdx1LtiNm3apE2bNumJJ55Q+/btSx1PvSuuffv2mjVrlm6//XY1b95c58+fV2xsrN544w1FR0dr4sSJ+uijjxx/XFDz8svMzJT032UE06dP13333afatWtr48aNmjdvnhYtWqSgoCA9/PDDkmp2vVlDC8AhOztbkydPVkZGhgYPHqxHHnnE3VOqkebMmaOkpCTt3btXa9eu1ZAhQ/TCCy9owoQJysvLc/f0aoSMjAy9/PLLatWqlaZOneru6dwwxowZo9/97ndq27atfHx81KJFCw0bNkyfffaZ/Pz8tHfv3iJnElE+hYWFkq7cU3zixIkaN26cAgMDFRAQoJEjR+qPf/yjJGnRokXunOZ1Q6AtB/sZ2NzcXJf99r+AJHF2tgqV9j7Y/8LkPSib/Px8TZo0SUlJSbrjjjv0t7/9rcgYal65fH191aFDB82dO1cPPfSQduzYoWXLljn1S9S7PF599VWlp6dr9uzZqlu3bpm2od5VJzAwUA8++KAk6ZtvvnG0U/Pyu/rTYPsZ2KvZT0icPHlSKSkpTtvUxHoTaMshKChIknTq1CmX/fZ2Pz8/U/5QmEVp78Pp06edxqF4NptN06ZNU2xsrDp37qxFixY5LTWwo+ZV54EHHpDkfHcU6l1+W7duVd26dbVo0SKNHDnS6evs2bOSpBkzZmjkyJH68ssvJVHvqubqzinUvPzsd+yoU6dOkSeBSVdCaePGjSXJ8TNfk+tNoC2HDh06SLrytA1XDh8+LEkKCQm5bnO6EdnfB/tTlv6X/f0py9q5G1lhYaGmT5+u6OhotW/fXv/617+c/vK/GjWvOvZfPOfPn3e0Ue+Kyc/PV2xsbJEvq9UqSTpw4IBiY2Mdv9ypd9Wyr/m8ev0mNS8/+x2VrFaryzWvly9fVlZWlqT/npmtyfUm0JZD165d5efnp9TUVB04cKBIf1RUlCSpf//+13tqNxT7c+83bdok43+e4HzmzBl9//338vT0VO/evd0xPVMwDEPPP/+8Nm7cqDZt2mjp0qVq2LBhseOpedXZvXu3JKlVq1aONupdfnFxcUpKSnL5ZT+zFRUVpaSkJI0ZM0YS9a5KhmHoq6++kuR8yyhqXn5XP7Lc/v+Pq8XFxclms8nHx8dx+66aXG8CbTl4eno67mc4e/ZsZWdnO/o2bNig6OhoNWrUqMgVy6hc/fr1U+vWrXXkyBG9++67jnar1aoXX3xRBQUFioyMdJz5QlGvvfaaVq1apeDgYL3//vvy9/cvcTw1L7+DBw9q8+bNKigoKNK3bds2vfnmm5Kc18JR7+uLelfM4cOHtX79escZcLvs7Gw9//zzOnDggHx9fZ1+N1LzinniiSckSfPmzVNqaqqj/fTp05ozZ44k6aGHHnIsIavJ9fYw/jeio0ysVqvGjh2r2NhY+fv7q1u3bkpPT1dcXJy8vLy0aNEiU/6F407bt293uhrz8OHDstls6tChg+M/xj59+mjKlCmOMQcPHtTIkSN16dIlhYaGqlWrVtq/f7/S0tJksVj00UcfqX79+tf9tZjBli1bHLXs3r17sWumBgwYoAEDBji+p+blY693gwYNFBoaKn9/f2VlZen48eNKTk6WJD3++OOaMWOG03bUu/L169dPaWlpioqKUrt27Zz6qHf52X/GGzZsqE6dOqlRo0ZKT09XYmKiMjMz5evr67gf7dWoecW89NJL+s9//iNfX1917dpVtWrV0t69e5WVlaXOnTtr+fLlTss8amq9CbQVYLVatXTpUq1bt04pKSny9fVVeHi4pkyZUuxTxFC81atXa+bMmSWOGTZsmF577TWnthMnTmjBggXauXOnMjMz1axZMw0aNEiTJ0/morwSlKXekjR16lRNmzbNqY2aX7vTp0/r008/VWxsrJKTk3X+/HnVqlVLTZs2VZcuXfTII48oIiLC5bbUu3KVFGgl6l1eKSkpev/993XgwAGlpaUpIyNDXl5eatGihXr06KFRo0YpODjY5bbUvGLWr1+vlStX6siRIyooKFDr1q01dOhQjR492uVdPmpivQm0AAAAMDXW0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUPN09gZpg7969MgxDXl5e7p4KAABAjWCz2eTh4aEuXbqUOpZAWwkMw5BhGO6eBgAAQI1xLdmKQFsJ7Gdmw8LC3DwTAACAmuHAgQNlHssaWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGoEWgAAAJgagRYAAACmRqAFAACAqRFoAQAAYGo8WAEAgBuEzWbT5cuX3T0N3IBq167teBBVVSDQAgBQw128eFHp6enKz89391RwA6tbt64CAgLUoEGDSt83gRYAgBrs4sWLSktLU7169RQQECAvLy95eHi4e1q4gRiGIZvNpszMTKWlpUlSpYdaAi0AADVYenq66tWrp+DgYIIs3MbHx0f169dXamqq0tPTKz3QclEYAAA1lM1mU35+vho2bEiYhdt5eHioYcOGys/Pl81mq9R9E2gBAKih7BeAVeXFOMC1sP8sVvbFiQRaAABqOM7Oorqoqp9F1tBWoeTkZKWnp5c4JiAgQC1btrxOMwIAAKh5CLRVJDk5WR1CQnQpL6/Ecb7e3kpMSiLUAgAAlBOBtoqkp6frUl6ePpTUoZgxiZJ+n5en9PR0Ai0AwG3K8olidVCVn2qmp6erT58+Kigo0IABA/T2229XyXGupwULFmjhwoV69dVX9eCDD7p7OlWKQFvFOkjq6u5JAABQjLJ+olgdVOWnmuvXr1dBQYEkKTo6WufPn1fjxo0r/TioGgRaAABuYGX5RLE6qOpPNdesWSNJatq0qc6cOaMvvvhCI0eOrPTjXE+PPvqohgwZoqZNm7p7KlWOQAsAAG7oTxQTExOVlJQkf39/Pf/883ryySe1Zs0a0wfaxo0b3zBnmbltFwAAuKHZz87ee++96tevnxo1aqRDhw7pyJEjRcauXr1aISEhWrBggdLS0vSnP/1JPXr0UOfOnTV8+HB9++23jrFbt27Vb3/7W3Xt2lXdunXTH/7wB50+fbrYecTExGjixIm644471KlTJ91111168cUXXW5z9TySk5P1pz/9ST179lSHDh20fPlySVfW0IaEhGj16tVFtr98+bJWrVqlUaNG6bbbblNYWJj69eunqVOnavv27U5j9+zZo7/+9a+6//771b17d3Xq1En9+vXTCy+8oNTU1LKUuMoRaAEAwA2roKBAGzZskCQ98MAD8vLy0r333ivpv0HXlbS0NEVGRmrfvn3q3r27OnTooH379mnChAmKjY3VihUrNHXqVNWqVUu9evVS/fr1FRUVpccee0xWq7XI/t5880099thj2rFjh1q1aqV+/fqpfv36+uSTT/Tggw/qp59+cjmPn3/+WZGRkYqLi1NERIR69+4tHx+fEl9zXl6exo0bp+eee0579+5Vhw4ddPfddyswMFDfffed/v3vfzuNf/XVV/Xxxx/L09NTERERuuuuu+Tl5aVPP/1UkZGRxc7temLJAQAAuGF98803OnfunCwWi0JDQyVdCbYffvih1q9frz/96U+qXbt2ke3WrFmjUaNG6dlnn3X0f/TRR5o9e7ZeeOEFpaen64MPPlBERIQkKT8/X48//rji4uL0xRdfaNiwYY59ffXVV1q8eLFatWqlhQsXymKxOPo+/vhjzZo1SzNnztQnn3xSZB4bNmzQww8/rFmzZpX5iXBz585VTEyMQkND9fbbb6t58+aOvuzsbB04cMBp/JNPPqkuXbqoYcOGjjbDMPTJJ59o1qxZmjNnTpEQfL1xhhYAANyw1q5dK0m6//77HW1hYWH61a9+pbNnzzotIbhaixYtNH36dKewO3z4cPn5+ennn3/Wo48+6gizklS3bl2NGTNGkhQbG+u0r8WLF0uSXn/9dacwK0kjRoxQ3759tW/fPiUmJhaZh5+fn2bOnFnmMHvmzBmtWrVKXl5eWrhwoVOYlaR69erpjjvucGq76667nMKsdOWJXyNGjFCXLl0UExOj7OzsMh2/qnCGFgAA3JAyMjL09ddfq3bt2rrvvvuc+u6//3794x//0Jo1a9SnT58i23bv3l116tRxaqtdu7ZatGihjIwM9erVq8g2rVq1knQlVNqdO3dOhw8fVpMmTdSlSxeX8+zWrZu2bdum/fv3q0MH53tR9OjRQzfddFPZXrCuhOmCggL17t1bQUFBZd7u3Llz+vrrr3Xs2DFlZWXp8uXLkq7cJaOwsFDJycnq2LFjmfdX2Qi0AADghvTFF1/IZrOpZ8+eCgwMdOr7zW9+o/nz5+vrr7/WxYsX1aBBA6f+Zs2audynPVy66vf19ZUkpzW0aWlpkqSzZ88qJCSkxPleuHChSNu1hFJJOnnypCSpdevWZd5m5cqVev3115Wfn1/sGM7QAgAAuIF9ucFPP/2k3/72t0X6PT09lZ+fr6ioKI0YMcKpr1atkldtenh4lGkOhYWFkq4sHejbt2+JY2+55ZYibd7e3mU6TnklJCTolVdeka+vr1544QXdfvvtatKkieO4zzzzjDZs2CDDMKp0HqUh0AIAgBvOsWPHlJCQIOnKWUv7mUtX1qxZUyTQVhb7GtabbrpJr732WpUc42r2M7o///xzmcZ/9dVXMgxDf/zjH/Xwww8X6T9x4kRlTq/cuCgMAADccK6+GCwpKcnl1759++Tr66t9+/bp+PHjVTKPwMBA/epXv1JaWprLi74qW/fu3eXp6amdO3fql19+KXV8ZmamJNdLKI4dO3Zd5lwWBFoAAHBDKSws1Lp16ySpyMVgV/Px8dGAAQMk/TcAV4WpU6dKkp5++mnt37+/SH92drb+7//+T3l5eRU+VpMmTRQZGSmbzaapU6cWeWhDTk6Odu7c6fi+bdu2kqRPP/3Uae3vuXPnNGPGDBUUFFR4TpWh2i45sFqtWrZsmdatW6eUlBT5+voqIiJCkyZNctwnrixWr16tmTNnFtvfpk0bffnll5UxZQAAYAI7d+7UqVOnFBAQoB49epQ49r777tO6dev0+eef66mnnqqS+dxzzz366aeftGDBAj3yyCNq3769WrVqpVq1ajnO3NpsNg0aNKhS1szOnDlTx48fV2xsrAYMGKDw8HD5+/vrl19+UWJiojp16uS4ddeDDz6o5cuXKzo6Wnfffbd+/etfKz8/X7GxsQoMDNSAAQO0ZcuWCs+poqploLVarRo7dqxiY2Pl7++vvn376uzZs9q8ebO2b9+uxYsXu7wdRknat29f5FYX0pW/VAAAuNFVjw+Oi1eZ87M/Aeyee+5x+dCEq/Xo0cMR9nbt2lWJs3A2ZcoU9ejRQx9++KHi4uJ07Ngx+fr6KjAwUPfff78GDhyo+vXrV8qxfHx8tGzZMn322Wf6/PPPlZCQIJvNpiZNmqhXr1566KGHHGMbNmyozz77TPPnz9euXbu0bds2NWnSRA8//LCmTp2quXPnVsqcKsrDcPdlaS68/fbbeuuttxQWFqbly5erXr16kq48DeOZZ55Ro0aNtGXLFkd7SexnaKdOnapp06ZVyXztT9QICwtztMXHxys8PFzfS+pazHbxksIlff/99+ratbhRAACUT15eno4fP642bdoUe2YvOTlZHUJCdKkSPs6uar7e3kpMSlLLli3dPRWUU1l+Ju1c5aviVLsztAUFBVqxYoUkadasWU6hdejQoVq3bp2io6O1atUqjR492l3TBACgRmjZsqUSk5KUnp7u7qmUKiAggDALl6pdoI2Pj1dGRoaCg4NdJvIhQ4YoOjpaW7duJdACAFAJWrZsSVCEqVW7QGu//UNxF37ZH6uWlJR0Tfs9dOiQ5s2bp6ysLDVq1EhdunRR7969S107AwAAgOqt2gVa+42Ni3uknL09IyNDOTk5ZX5+8bZt27Rt2zanttatW+uf//yn2rdvX4EZAwAAwJ2q3X1oL126JOnKFXiu2J+DLF25V1ppmjRpoqlTp2r16tXas2ePdu7cqaVLlyosLEw///yzxowZo1OnTlXO5AEAAHDdVbtAW9l69eqladOmKTQ0VA0aNFDjxo1155136uOPP1Z4eLguXLigJUuWuHuaAAAAKKdqF2jtZ2Bzc3Nd9tvP4Eoq83IDVzw9PTV+/HhJUnR0dLn3AwAAAPeqdoE2KChIkopdBmBv9/Pzq1Cgla6soZWkM2fOVGg/AAAAcJ9qF2jtT/M6dOiQy/7Dhw9LkkJCQip8rIsXL0pyXpcLAEBNUw2foYQbVFX9LFa7QNu1a1f5+fkpNTXV8YSIq0VFRUmS+vfvX+Fjffnll5KkTp06VXhfAABUN/ZbU9psNjfPBLjC/rNY2bdNrXaB1tPTU6NGjZIkzZ49W9nZ2Y6+DRs2KDo6Wo0aNVJkZKSjPSEhQYMHD9bgwYOd9pWbm6t///vfunDhglN7YWGhVq5cqffff1+SNHLkyKp6OQAAuI2Xl5fq1q2rzMxMztLC7QzDUGZmpurWrSsvL69K3Xe1uw+tJI0fP167du1SbGysBg4cqG7duik9PV1xcXHy8vLSvHnznB6Jm5ubq+PHjxfZj81m07x58/Tmm2+qU6dOat68uS5duqSkpCSdPHlSHh4emjZtmvr27Xs9Xx4AANdNQECA0tLSlJqaqoYNG8rLy0seHh7unhZuIIZhyGazKTMzU9nZ2WrRokWlH6NaBto6dero3//+t5YuXap169bp66+/lq+vr/r3768pU6YU+xSx/+Xt7a1JkyZp//79+vnnn3X48GEVFhaqSZMmGjp0qB599FF17dq1il8NAADu06BBA0lSenq60tLS3Dwb3Mjq1q2rFi1aOH4mK5OHwWcQFWZf6xsWFuZoi4+PV3h4uL6XVFxkjpcULun7778nWAMAqpzNZtPly5fdPQ3cgGrXrn3Nywxc5aviVMsztAAAoPJ5eXlV+tpFoDqodheFAQAAANeCQAsAAABTI9ACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1Ai0AAAAMDVPd08AUmJiYon9AQEBatmy5XWaDQAAgLkQaN3oF105Rf773/++xHG+3t5KTEoi1AIAALhAoHWjDEmFkj6U1KGYMYmSfp+Xp/T0dAItAACACwTaaqCDpK7ungQAAIBJcVEYAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFMj0AIAAMDUCLQAAAAwNQItAAAATI1ACwAAAFPzdPcEagqr1ar4+HjH94mJiW6cDQAAwI2DQFtJUlNT9cADD7h7GgAAADccAm0lCZb0/VXfR0l6wU1zAQAAuJFU20BrtVq1bNkyrVu3TikpKfL19VVERIQmTZqk0NDQa95fVFSUPvjgAyUlJUmSQkJCNGrUKN1zzz2VMt86ksKu+p4FBwAAANdHtQy0VqtVY8eOVWxsrPz9/dW3b1+dPXtWmzdv1vbt27V48WL16tWrzPubP3++3nnnHdWpU0d33nmnJOm7777T008/rSNHjuipp56qqpcCAACAKlYtA+27776r2NhYhYWFafny5apXr54kacOGDXrmmWc0ffp0bdmyxdFekri4OL3zzjtq0KCBPv74Y7Vr106SdOzYMY0YMUKLFi1S79691aVLlyp9TQAAAKga1e62XQUFBVqxYoUkadasWU6hdejQoerTp48uXLigVatWlWl/7733niRp4sSJjjArSe3atdOECROcxgAAAMB8ql2gjY+PV0ZGhoKDgxUWFlakf8iQIZKkrVu3lrqv/Px8xcTESJLLtbL2fX377beyWq0VmTYAAADcpNoFWvv9W4u78Ktjx46S5Li4qyTHjx9Xfn6+GjVqpKCgoCL9QUFB8vPzU15eno4fP16BWQMAAMBdql2gPXnypCSpWbNmLvvt7RkZGcrJySlxX2lpaSXu6+o++3EBAABgLtXuorBLly5Jknx8fFz2+/r6Ov6dk5Ojm266qdz7unp/pYXjkthsNhnNmun7tWsdbS0lrZWUL+f7016tLGOs/3+MYRg6cOBAuecIAABgJlarVR4eHmUaW+0CrRl5eHhIXl7yatvW0VZHkl8p25V1TOn3cgAAAKhZPDw8zBto7WdMc3NzXfbbz7pKKvHsbFn2dfX+SttXSbjlFwAAgPtUuzW09ou3Tp065bLf3u7n51dqCG3RokWJ+7q6z9VFYwAAAKj+ql2g7dChgyTp0KFDLvsPHz4s6cqja0vTpk0b1a1bVxcuXHB50dfJkyeVkZEhb29vtWnTpgKzBgAAgLtUu0DbtWtX+fn5KTU11eVFUFFRUZKk/v37l7qvunXrqkePHpKkjRs3Fruvnj17qk6dOhWZNgAAANyk2gVaT09PjRo1SpI0e/ZsZWdnO/o2bNig6OhoNWrUSJGRkY72hIQEDR48WIMHDy6yv3HjxkmSlixZomPHjjnajx07piVLljiNAQAAgPlUu4vCJGn8+PHatWuXYmNjNXDgQHXr1k3p6emKi4uTl5eX5s2b5/RI3Nzc3GIfjBAREaEJEyZoyZIlGjZsmOOMbUxMjPLz8zV58mQu6gIAADAxD8MwDHdPwhWr1aqlS5dq3bp1SklJka+vr8LDwzVlypQiTxHbvXu346xucU8Qi4qK0ooVKxz9ISEhGj16tMtH4gIAAMA8qm2gBQAAAMqi2q2hBQAAAK4FgRYAAACmRqAFAACAqRFoAQAAYGrV8rZdZmG1WrVs2TKnOzFERERo0qRJRe7EgNIdOnRIMTExOnDggA4ePKi0tDRJ0tatWxUcHFzsdsnJyVqwYIF27typzMxMNWvWTIMGDdKkSZNKfTzyjcxms2n37t3avn27du/erZSUFF2+fFnNmjVTz549NW7cOMfjo/8XNS+fTz75RDt37lRSUpLOnTunnJwcNWzYUGFhYRoxYoT69u3rcjvqXTkMw9Do0aO1e/duSVfuftOuXbsi46h3+T377LNas2ZNsf3Dhw/Xyy+/XKSdmldMVlaWli5dqi1btig1NVWSFBgYqPDwcD355JMKDAx0Gl8T681dDsrJarVq7Nixio2Nlb+/v7p166azZ8/q+++/l5eXlxYvXqxevXq5e5qmMnnyZG3durVIe0mB9tChQxo5cqRycnIUGhqqli1bKiEhQWlpabJYLProo49Uv379qp66KcXExOixxx6TJDVv3tzxR1hCQoLOnDmjevXq6b333ityn2ZqXn6DBw9WSkqKLBaLAgMD5e3trZSUFB08eFCS9Pjjj2vGjBlO21DvyvPxxx9r1qxZ8vDwkGEYLgMt9a4Ye6Dt2bOnmjRpUqS/e/fuGjZsmFMbNa+Yo0eP6rHHHtOZM2fUqlUrtW/fXjabTcnJyTp69KhWrlypiIgIx/gaW28D5bJw4ULDYrEYkZGRRlZWlqN9/fr1hsViMbp37+7UjtItWbLEmD9/vrF582bj1KlTRo8ePQyLxWKkpKS4HF9QUGAMHDjQsFgsxpIlSxzt+fn5xoQJEwyLxWK88MIL12v6phMTE2NMmzbNiI+Pd2rPy8sznn32WcNisRh9+/Y1rFaro4+aV0x8fLyRnZ1dpH3Pnj1G586dDYvFYuzbt8/RTr0rzy+//GJ07drVGDt2rNG3b1/DYrEYR48edRpDvStuxowZhsViMXbt2lWm8dS8YjIzM41evXoZnTp1MtatW1ek/8SJE8a5c+cc39fkehNoy8Fmsxm33XabYbFYjISEhCL948ePNywWi7F8+XI3zK7mKC3Qbtq0ybBYLMbQoUONwsJCp77Tp08bHTt2NDp27GicP3/+eky3RsnNzTXCw8MNi8Vi7N6929FOzavOzJkzDYvFYixevNjRRr0rz/jx443OnTsbqampxQZa6l1x1xpoqXnFzJkzx7BYLMayZcvKNL4m15uLwsohPj5eGRkZCg4OVlhYWJH+IUOGSJLLj89RebZt2yZJGjRokDw8PJz6mjZtqvDwcBUUFCg6Otod0zM1b29vtW7dWpJ05swZRzs1rzqenlcuaahTp46jjXpXjrVr1yo6OlpPPfVUsevCJertDtS8/PLz87V69Wr5+Pho+PDhZdqmJtebi8LKITExUZKKvfCrY8eOkop/DC8qh/196NSpk8v+0NBQ7d69Wz/88MP1nFaNcPnyZcdFeQEBAY52al41EhMTtXHjRtWuXdtp7T31rrj09HS9+uqrCgsLczwivTjUu/Js3rxZmzdvltVqVfPmzXXnnXfq1ltvLTKOmpffwYMHlZWVpfDwcPn4+Gjnzp3asWOHsrOzFRwcrAEDBqht27ZO29TkehNoy+HkyZOSpGbNmrnst7dnZGQoJyfHtFcMVnelvQ/2qzrt41B2n3/+uc6fP6/GjRura9eujnZqXjlWrVqlPXv2yGazKS0tTfv27ZOnp6deeukl3XLLLY5x1LviXn75ZWVnZ+uvf/2ratUq+UNJ6l15PvjgA6fv33zzTfXp00fz5s2Tn5+fo52al9/Ro0clSf7+/nryySe1adMmp/758+dr4sSJeuqppxxtNbneBNpyuHTpkiTJx8fHZb+vr6/j3wTaqlPa+2Cve05OznWbU02Qmpqq119/XZL0hz/8wekjcGpeOeLj451ubeTj46PnnntOkZGRTuOod8Vs2rRJmzZt0hNPPKH27duXOp56V1z79u01a9Ys3X777WrevLnOnz+v2NhYvfHGG4qOjtbEiRP10UcfOf64oObll5mZKem/ywimT5+u++67T7Vr19bGjRs1b948LVq0SEFBQXr44Ycl1ex6s4YWgEN2drYmT56sjIwMDR48WI888oi7p1QjzZkzR0lJSdq7d6/Wrl2rIUOG6IUXXtCECROUl5fn7unVCBkZGXr55ZfVqlUrTZ061d3TuWGMGTNGv/vd79S2bVv5+PioRYsWGjZsmD777DP5+flp7969Rc4konwKCwslXbmn+MSJEzVu3DgFBgYqICBAI0eO1B//+EdJ0qJFi9w5zeuGQFsO9jOwubm5LvvtfwFJ4uxsFSrtfbD/hcl7UDb5+fmaNGmSkpKSdMcdd+hvf/tbkTHUvHL5+vqqQ4cOmjt3rh566CHt2LFDy5Ytc+qXqHd5vPrqq0pPT9fs2bNVt27dMm1DvatOYGCgHnzwQUnSN99842in5uV39afB9jOwV7OfkDh58qRSUlKctqmJ9SbQlkNQUJAk6dSpUy777e1+fn6m/KEwi9Leh9OnTzuNQ/FsNpumTZum2NhYde7cWYsWLXJaamBHzavOAw88IMn57ijUu/y2bt2qunXratGiRRo5cqTT19mzZyVJM2bM0MiRI/Xll19Kot5VzdWdU6h5+dnv2FGnTp0iTwKTroTSxo0bS5LjZ74m15tAWw4dOnSQdOVpG64cPnxYkhQSEnLd5nQjsr8P9qcs/S/7+1OWtXM3ssLCQk2fPl3R0dFq3769/vWvfzn95X81al517L94zp8/72ij3hWTn5+v2NjYIl9Wq1WSdODAAcXGxjp+uVPvqmVf83n1+k1qXn72OypZrVaXa14vX76srKwsSf89M1uT602gLYeuXbvKz89PqampOnDgQJH+qKgoSVL//v2v99RuKPbn3m/atEnG/zzB+cyZM/r+++/l6emp3r17u2N6pmAYhp5//nlt3LhRbdq00dKlS9WwYcNix1PzqrN7925JUqtWrRxt1Lv84uLilJSU5PLLfmYrKipKSUlJGjNmjCTqXZUMw9BXX30lyfmWUdS8/K5+ZLn9/x9Xi4uLk81mk4+Pj+P2XTW53gTacvD09HTcz3D27NnKzs529G3YsEHR0dFq1KhRkSuWUbn69eun1q1b68iRI3r33Xcd7VarVS+++KIKCgoUGRnpOPOFol577TWtWrVKwcHBev/99+Xv71/ieGpefgcPHtTmzZtVUFBQpG/btm168803JTmvhaPe1xf1rpjDhw9r/fr1jjPgdtnZ2Xr++ed14MAB+fr6Ov1upOYV88QTT0iS5s2bp9TUVEf76dOnNWfOHEnSQw895FhCVpPr7WH8b0RHmVitVo0dO1axsbHy9/dXt27dlJ6erri4OHl5eWnRokWm/AvHnbZv3+50Nebhw4dls9nUoUMHx3+Mffr00ZQpUxxjDh48qJEjR+rSpUsKDQ1Vq1attH//fqWlpcliseijjz5S/fr1r/trMYMtW7Y4atm9e/di10wNGDBAAwYMcHxPzcvHXu8GDRooNDRU/v7+ysrK0vHjx5WcnCxJevzxxzVjxgyn7ah35evXr5/S0tIUFRWldu3aOfVR7/Kz/4w3bNhQnTp1UqNGjZSenq7ExERlZmbK19fXcT/aq1HzinnppZf0n//8R76+vuratatq1aqlvXv3KisrS507d9by5cudlnnU1HoTaCvAarVq6dKlWrdunVJSUuTr66vw8HBNmTKl2KeIoXirV6/WzJkzSxwzbNgwvfbaa05tJ06c0IIFC7Rz505lZmaqWbNmGjRokCZPnsxFeSUoS70laerUqZo2bZpTGzW/dqdPn9ann36q2NhYJScn6/z586pVq5aaNm2qLl266JFHHlFERITLbal35Sop0ErUu7xSUlL0/vvv68CBA0pLS1NGRoa8vLzUokUL9ejRQ6NGjVJwcLDLbal5xaxfv14rV67UkSNHVFBQoNatW2vo0KEaPXq0y7t81MR6E2gBAABgaqyhBQAAgKkRaAEAAGBqBFoAAACYGoEWAAAApkagBQAAgKkRaAEAAGBqBFoAAACYGoEWAAAApkagBQAAgKkRaAEAAGBqBFoAAACYGoEWAAAApkagBQAAgKkRaAEAAGBqBFoAAACYGoEWAAAApkagBQAAgKkRaAEAAGBqBFoAAACYGoEWAAAApkagBQAAgKkRaAEAAGBqBFoANcLIkSMVEhKi1atXO7WnpqYqJCREISEhlXasqthnaYp7fTWRO+oLwNwItACqpbfeessRahYtWuTu6aCSpKamasGCBVq+fLm7pwKgBiHQAqh2CgsLtXbtWsf3a9askWEY7psQKk1aWpoWLlyoFStWuHsqAGoQAi2Aamfnzp1KS0uTj4+PvLy8lJycrNjYWHdPCwBQTRFoAVQ7q1atkiTdfffd6tevn1MbAAD/y9PdEwCAq2VmZmrLli2SpGHDhikvL0+bNm3SV199pRdffFH16tWr9GMeOnRIK1as0J49e3T27FnVrVtXISEhioyM1AMPPKBata79b/+q2GdJLl68qBUrVujrr7/WiRMnZLVaFRQUpH79+mncuHHy9/cvsk2/fv2UlpamFStW6Oabb9bChQu1Y8cOXbhwQU2bNtXAgQM1derUYmt+4sQJvfXWW9q5c6eysrIUFBSke++9VxMmTNCsWbO0Zs0aTZ06VdOmTZN05cI2+5n2tLS0Ihd9rVixQt27dy9ynLi4OP3rX//S/v37lZubq1atWmn48OF69NFH5eHhUdHSAagBCLQAqpUNGzYoPz9fzZo10+23367CwkL5+/vr3Llz+uKLLzR8+PBKPd57772nv//97zIMQzfddJPatm2rjIwMxcXFKS4uTlu3btVbb72l2rVru3WfJfnhhx/0xBNP6PTp0/L09FRQUJC8vb11/PhxLV26VOvXr9fSpUtlsVhcbp+UlKSpU6cqLy9Pt9xyi7y8vHTy5EktW7ZMe/fu1cqVK+Xp6fzrYv/+/XrssceUk5MjLy8vWSwWXbp0SW+//bZiYmLUokWLIsexWCzKyMjQkSNHVKdOHXXq1Mmpv379+kW2Wb16tf7yl7+oQYMGCg4O1smTJ3XkyBG98sorSktL04wZMypQOQA1hgEA1ciwYcMMi8Vi/OMf/3C0zZ0717BYLMbDDz9c7Ha///3vDYvFYqxatcqpPSUlxbBYLIbFYimyzRdffGFYLBYjIiLCWLNmjXH58mVH3/79+427777bsFgsxsKFC6t8n6Up7vVduHDB6N27t2GxWIznn3/eOHfunKPv4sWLxp///GfDYrEYgwYNMmw2m9O2ffv2NSwWixEaGmpMnz7duHjxoqMvJibG+PWvf21YLBbjs88+c9ouNzfXse2YMWOcjrl//37jzjvvNEJDQw2LxWK89dZbTtvu2rXLsFgsRt++fYt9rVfXt1OnTsayZcuMgoICR/8777xjWCwWIyQkxDhx4kQZqgegpmMNLYBq44cfftChQ4ckSQ888ICjfdiwYZKunBU8evRopRyroKBAf//73yVJc+fOLbIM4NZbb9Ubb7whDw8PLV++XFar1S37LM2yZct06tQp9e/fX6+88ooaN27s6Ktfv77mzp2rjh076vjx4/rqq69c7uPmm2/WnDlznM6Q3nHHHXrooYckSdu2bXMa/8UXXygtLU1+fn765z//6XTMW2+9VXPnzpXNZqvwa5Ok3/zmNxozZozT2ewJEybIYrHIMAxt3769Uo4DwNwItACqDfuFX7/+9a/Vtm1bR3v79u3VoUMHpzEVtX//fqWlpalJkya6++67XY7p1KmTgoKCdPHiRUfQvt77LM3GjRslSSNGjHDZX7t2bfXv31+StGvXLpdjhg8fLi8vryLtnTt3lnRlrezVduzYIUkaNGiQGjRoUGS73r17KygoqGwvoBSPPvqoy/YuXbpIkpKTkyvlOADMjTW0AKoFq9Wq9evXS3I+O2s3bNgwJSYmat26dXrmmWeKrOm8Vj/88IMkKS8vT7/97W+LHZeRkSFJ+uWXXxwh6nrusySXLl1yhM1//vOfWrx4sctx586dcxzPldatW7tst19IlpOT49R+/PhxSXL8keFK+/btdfLkyeInX0bXOjcANyYCLYBq4euvv9aFCxfk5eWle++9t0j/fffdp7/97W9KT0/X9u3bNWDAgAod7+LFi5KkrKwsxcfHlzo+Ly/PLfssSVZWluPfBw8eLPfxfHx8XLYXdyeGS5cuSZJuuummYo9VUt+18PX1ddlun5vBAzcAiEALoJqwLyWw2Wy67bbbSh1b0UBrD0rdunXThx9+WKF9VeU+y3I8SdqyZYtuvvnmKj/m1cct6ewoZ04BXE+soQXgdqdPn9Z3330nSWrUqJECAgJcfjVq1EiS9M033yg9Pb1Cx7TfwurHH39UYWFhxV5AFe6zJPXr11fz5s0lXbn11vXSpk0bSf9dYuFKcfPhvrEAqgKBFoDbrVmzRpcvX1ajRo20Y8cOfffddy6/vv32W/n7+6ugoEBr166t0DHDw8PVtGlTZWRk6LPPPquU11EV+yzNPffcI0lavny5Ll++fF2O2atXL0nSpk2bnJY92H377bdKS0tzua23t7ckKTc3t+omCOCGQ6AF4HZr1qyRdGWdrKur7e08PT31m9/8RtKVG+5XRJ06dfTnP/9ZkvTKK69o+fLlRdaY5uTkaNOmTfrLX/7itn2WZvz48WratKn27NmjadOmKSUlxanfMAwlJCRozpw5SkhIqJRj3nvvvWrRooUuXLigp59+WufPn3f0HTx4UDNnziz2fWzZsqU8PDx0/vz5Es/wAsC1YA0tALfas2ePfv75Z0lSZGRkqeMjIyO1bNkyHTt2THv37q3QXQLuu+8+nT9/XvPmzdOrr76qN954Q23atFHdunV14cIFpaamqrCw0OVTr67nPkvSuHFjvffee5o8ebK2bt2qrVu36uabb1bjxo2Vm5ur1NRUx0VcFV13bOft7a033nhDjz/+uL799lv16dNHt9xyi3Jzc/XTTz+pc+fOuu2227Rhw4YiF5b5+fnprrvu0rZt2/TQQw/plltucTxa97nnnivxzgkAUBwCLQC3sp9pDQ0NVfv27Usdf8stt+jWW29VQkKCVq1aVaFAK0mjR49Wz549tXLlSu3atUvJycmyWq3y8/NTRESEevfuXew9Za/nPksSEhKi9evX69NPP9WWLVv0448/6uTJk/L29tbNN9+siIgIDRgwQOHh4ZV2zM6dO2v16tVasGCBYmJi9OOPP6p58+aaOHGiJk2a5DhTbQ+rV3v99df11ltvKTo6Wj/++KPjIQz2u0QAwLXyMLjnCQCgkt177706evSoFi1a5HiwAwBUFdbQAgAq1d69e3X06FF5enpW+Aw6AJQFgRYAcM0SEhL06aefKjs726k9NjZWTz/9tCRpyJAhaty4sRtmB+BGw5IDAMA127ZtmyZOnChPT0+1adNGvr6++uWXX3TmzBlJV+7Ju2LFCse9gwGgKhFoAQDX7PTp03r//fe1c+dOnTp1ShcvXpS3t7fatm2rgQMH6tFHHy32sbUAUNkItAAAADA11tACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1Ai0AAAAMDUCLQAAAEyNQAsAAABTI9ACAADA1P4fXHAO7ZjIPqsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x1000 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "!bash statSTR_loci_stats.sh 21 43776443\n",
    "plot_locus_allele_distribution(\"downstream/chr21.43776443_stats.tab\", \"CSTB\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}