alignment_plot_sweep.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "642a1304-7b2f-4b96-9928-6579b5bc36a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.13.0\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import tqdm\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import matplotlib.ticker as mtick\n",
    "import pandas as pd\n",
    "import glob\n",
    "import seaborn as sns\n",
    "import itertools\n",
    "import ciso8601\n",
    "import time\n",
    "import sys\n",
    "import warnings\n",
    "import sklearn.metrics\n",
    "from scipy.stats import hmean,bootstrap\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "tqdm.tqdm.pandas()\n",
    "print(sns.__version__)\n",
    "\n",
    "import matplotlib.font_manager as font_manager\n",
    "matplotlib.rc('font', **{'family' : ['Source Sans 3','sans-serif']})\n",
    "font_dirs = ['/cluster/work/grlab/projects/metagenome/fonts']\n",
    "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n",
    "for font_file in font_files:\n",
    "    font_manager.fontManager.addfont(font_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dfb9267f-707c-4dea-85ea-30d991fc8c69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "128.7\n",
      "95124.0\n"
     ]
    }
   ],
   "source": [
    "platforms = {\n",
    "    'illumina': \"Illumina\",\n",
    "    'hifi': \"PacBio HiFi\",\n",
    "    'clr': \"PacBio CLR\",\n",
    "    'ont': \"ONT\"\n",
    "}\n",
    "\n",
    "scale_factor=1.5\n",
    "mpl_rc = {\n",
    "    # 'text.usetex':True,\n",
    "    # 'mathtext.fontset':'stix',\n",
    "    'font.family':[\"Source Sans 3\",'sans-serif'],\n",
    "    'figure.dpi':200,\n",
    "    'legend.frameon': False,\n",
    "    'legend.fontsize':8*scale_factor,\n",
    "    'legend.title_fontsize':10*scale_factor,\n",
    "    'xtick.labelsize':10*scale_factor,\n",
    "    'ytick.labelsize':10*scale_factor,\n",
    "    'axes.labelsize':12*scale_factor,\n",
    "    'pdf.fonttype':42,\n",
    "    'savefig.pad_inches':0,\n",
    "    'savefig.bbox':\"tight\",\n",
    "}\n",
    "palette_rc = {\n",
    "}\n",
    "seaborn_rc = {\n",
    "    'font.family':[\"Source Sans 3\",'sans-serif'],\n",
    "}\n",
    "\n",
    "kept_levels = {\n",
    "    \"no rank\": (\"No Rank\",11),\n",
    "    \"root\": (\"Root\",10),\n",
    "    \"superkingdom\": (\"Superkingdom\",9),\n",
    "    \"phylum\": (\"Phylum\",8),\n",
    "    \"class\": (\"Class\",7),\n",
    "    \"order\": (\"Order\",6),\n",
    "    \"family\": (\"Family\",5),\n",
    "    \"genus\": (\"Genus\",4),\n",
    "    \"species\": (\"Species\",3),\n",
    "    \"strain\": (\"Strain\",2),\n",
    "    \"acc\": (\"Accession\",1)\n",
    "}\n",
    "\n",
    "hue_order = [\n",
    "    \"GraphAligner\",\n",
    "    \"PLAST\",\n",
    "    \"SCA\",\n",
    "    \"SCA+LC\",\n",
    "    \"SCA+LC+NC\",\n",
    "]\n",
    "hue_order_supp = [\n",
    "    \"GraphAligner\",\n",
    "    \"PLAST\",\n",
    "    \"SCA\",\n",
    "    \"SCA+LC100\",\n",
    "    \"SCA+LC\",\n",
    "    \"SCA+LC+NC\",\n",
    "]\n",
    "\n",
    "colors = [\n",
    "    \"#fb8072\",\n",
    "    \"#fdb462\",\n",
    "    \"#f0027f\",\n",
    "    \"#8dd3c7\",\n",
    "    \"#666666\", \n",
    "    \"#80b1d3\",\n",
    "]\n",
    "\n",
    "palette = dict(zip(hue_order_supp,colors))\n",
    "\n",
    "kept_levels_list = list(kept_levels.values())[::-1]\n",
    "\n",
    "def parse_elapsed(line):\n",
    "    line = line.rstrip()\n",
    "    if line.find(\".\") == -1:\n",
    "        line = line + \".00\"\n",
    "    elapsed = line.split(\" \")[-1].split(\":\")\n",
    "    if len(elapsed) < 3:\n",
    "        elapsed = [\"00\"] * (3 - len(elapsed)) + elapsed\n",
    "        \n",
    "    ndays = 0\n",
    "    if int(elapsed[0]) > 23:\n",
    "        ndays,hrs = divmod(int(elapsed[0]),24)\n",
    "        elapsed[0] = str(hrs)\n",
    "    elapsed = \":\".join(t.rjust(2, '0') for t in elapsed)\n",
    "    start_dtime = ciso8601.parse_datetime(f'2023-11-13 00:00:00')\n",
    "    total_dtime = ciso8601.parse_datetime(f'2023-11-13 {elapsed}')\n",
    "    return (total_dtime - start_dtime).total_seconds() + 24*3600*ndays\n",
    "    \n",
    "print(parse_elapsed(\"Elapsed (wall clock) time (h:mm:ss or m:ss): 2:08.70\"))\n",
    "print(parse_elapsed(\"Elapsed (wall clock) time (h:mm:ss or m:ss): 26:25:24\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9fa0c282-1950-49b7-9503-4e55636e9ef1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.657936507936508"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([0.11111111, 0.125     , 0.14285714, 0.16666667, 0.2       ,\n",
       "       0.25      , 0.33333333, 0.5       , 1.        ])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([0.0392762 , 0.08346192, 0.13395988, 0.19287418, 0.26357133,\n",
       "       0.35194277, 0.46977136, 0.64651424, 1.        ])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([0.11764706, 0.13333333, 0.15384615, 0.18181818, 0.22222222,\n",
       "       0.28571429, 0.4       , 0.66666667, 2.        ])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "acc 1 0\n",
      "strain 0.9607238041801094 0.9584134397201158\n",
      "species 0.9165380838827325 0.9112820047362471\n",
      "genus 0.8660401178285875 0.8568995797548602\n",
      "family 0.8071258240987516 0.7926294411404937\n",
      "order 0.7364286716229484 0.7140770495007126\n",
      "class 0.6480572310281947 0.6130811173924225\n",
      "phylum 0.5302286435685231 0.47168681244081645\n",
      "superkingdom 0.3534857623790153 0.23602963752147288\n",
      "root 0.0 -0.4709418872365576\n",
      "[-0.47094189  0.23602964  0.47168681  0.61308112  0.71407705  0.79262944\n",
      "  0.85689958  0.911282    0.95841344]\n"
     ]
    }
   ],
   "source": [
    "branch_lengths = (1/(np.arange(len(kept_levels)-2)+1))[::-1]\n",
    "mid_branch_lengths = (1/(np.arange(len(kept_levels)-2)+0.5))[::-1]\n",
    "\n",
    "branch_lengths_cum = branch_lengths.cumsum() * 2\n",
    "mid_branch_lengths_cum = mid_branch_lengths.cumsum() * 2\n",
    "\n",
    "total_branch_length = branch_lengths_cum[-1]\n",
    "\n",
    "display(total_branch_length,\n",
    "        branch_lengths,\n",
    "        branch_lengths_cum/total_branch_length,\n",
    "        mid_branch_lengths)\n",
    "print()\n",
    "\n",
    "midpoints = [0]\n",
    "minpoints = []\n",
    "print(list(kept_levels.keys())[-1],1-midpoints[-1],midpoints[-1])\n",
    "for unifrac,mid_unifrac,level in zip(branch_lengths_cum,\n",
    "                                     mid_branch_lengths_cum,\n",
    "                                     list(kept_levels.keys())[::-1][1:]):\n",
    "    midpoints.append(unifrac/total_branch_length)\n",
    "    minpoints.append(mid_unifrac/total_branch_length)\n",
    "    print(level,\n",
    "          1.0 - midpoints[-1],\n",
    "          1.0 - minpoints[-1])\n",
    "midpoints = np.array(midpoints)\n",
    "minpoints = np.array(minpoints)\n",
    "\n",
    "acc_midpoints = (1.0-midpoints)[::-1]\n",
    "acc_minpoints = (1-minpoints)[::-1]\n",
    "print(acc_minpoints)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7302a352-7311-41da-b1e3-ae16aabb5c4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample_id</th>\n",
       "      <th>Number of components in graph</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AB568599.1</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AB568600.1</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AE016821.1</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AF275271.2</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AF285261.1</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3037</th>\n",
       "      <td>OQ506664.1</td>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3038</th>\n",
       "      <td>OQ538214.1</td>\n",
       "      <td>286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3039</th>\n",
       "      <td>OQ538215.1</td>\n",
       "      <td>398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3040</th>\n",
       "      <td>OQ581157.1</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3041</th>\n",
       "      <td>U41288.1</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3042 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       sample_id  Number of components in graph\n",
       "0     AB568599.1                             65\n",
       "1     AB568600.1                             58\n",
       "2     AE016821.1                             70\n",
       "3     AF275271.2                            116\n",
       "4     AF285261.1                             63\n",
       "...          ...                            ...\n",
       "3037  OQ506664.1                            561\n",
       "3038  OQ538214.1                            286\n",
       "3039  OQ538215.1                            398\n",
       "3040  OQ581157.1                             47\n",
       "3041    U41288.1                            152\n",
       "\n",
       "[3042 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample_ids = []\n",
    "ncomps = []\n",
    "with open('../graph_props/components.txt', 'r') as f:\n",
    "    for line in f:\n",
    "        line = line.rstrip().split()\n",
    "        ncomps.append(int(line[-3]))\n",
    "        sample_ids.append(\".\".join(line[0].split(\".\")[:2]))\n",
    "sample_ids_to_comp = pd.DataFrame({\n",
    "    \"sample_id\":sample_ids,\n",
    "    \"Number of components in graph\":ncomps,\n",
    "})\n",
    "display(sample_ids_to_comp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 679,
   "id": "d3dcc37a-5f9b-4fbe-9e2c-df001364187c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>read_id</th>\n",
       "      <th>accID</th>\n",
       "      <th>Method</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Time (s)</th>\n",
       "      <th>RAM Usage</th>\n",
       "      <th>Chaining</th>\n",
       "      <th>Extension</th>\n",
       "      <th>MLATime</th>\n",
       "      <th>\\# Label Changes</th>\n",
       "      <th>...</th>\n",
       "      <th>Relative Length Cutoff</th>\n",
       "      <th>class_taxid</th>\n",
       "      <th>WGSUniFrac</th>\n",
       "      <th>BestNamedLevel</th>\n",
       "      <th>Relative Score</th>\n",
       "      <th>Rank of LCA</th>\n",
       "      <th>Top Relative Score</th>\n",
       "      <th>Scaled Relative Score</th>\n",
       "      <th>Overhead</th>\n",
       "      <th>Number of components in graph</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>CP083471.1</td>\n",
       "      <td>SCA+LC</td>\n",
       "      <td>PacBio CLR</td>\n",
       "      <td>1.659862</td>\n",
       "      <td>11277.52</td>\n",
       "      <td>0.046</td>\n",
       "      <td>2.211</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3095872</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Accession</td>\n",
       "      <td>0.790919</td>\n",
       "      <td>1</td>\n",
       "      <td>0.790919</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.597137</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>HE576754.1</td>\n",
       "      <td>SCA+LC</td>\n",
       "      <td>PacBio CLR</td>\n",
       "      <td>1.659862</td>\n",
       "      <td>11277.52</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.165766</td>\n",
       "      <td>1064592</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.136680</td>\n",
       "      <td>2</td>\n",
       "      <td>0.136680</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.604862</td>\n",
       "      <td>2968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>HE576754.1</td>\n",
       "      <td>SCA+LC</td>\n",
       "      <td>PacBio CLR</td>\n",
       "      <td>1.659862</td>\n",
       "      <td>11277.52</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.104891</td>\n",
       "      <td>1064592</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.084556</td>\n",
       "      <td>2</td>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.618644</td>\n",
       "      <td>0.604862</td>\n",
       "      <td>2968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>HE576754.1</td>\n",
       "      <td>SCA+LC</td>\n",
       "      <td>PacBio CLR</td>\n",
       "      <td>1.659862</td>\n",
       "      <td>11277.52</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.089060</td>\n",
       "      <td>1064592</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.071171</td>\n",
       "      <td>2</td>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.520716</td>\n",
       "      <td>0.604862</td>\n",
       "      <td>2968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>HE576754.1</td>\n",
       "      <td>SCA+LC</td>\n",
       "      <td>PacBio CLR</td>\n",
       "      <td>1.659862</td>\n",
       "      <td>11277.52</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.085586</td>\n",
       "      <td>1064592</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.068211</td>\n",
       "      <td>2</td>\n",
       "      <td>0.136680</td>\n",
       "      <td>0.499058</td>\n",
       "      <td>0.604862</td>\n",
       "      <td>2968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20057</th>\n",
       "      <td>99</td>\n",
       "      <td>HG934063.1</td>\n",
       "      <td>SCA</td>\n",
       "      <td>PacBio HiFi</td>\n",
       "      <td>2.012258</td>\n",
       "      <td>9214.48</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006328</td>\n",
       "      <td>1437815</td>\n",
       "      <td>0.006578</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.006106</td>\n",
       "      <td>2</td>\n",
       "      <td>0.117020</td>\n",
       "      <td>0.052182</td>\n",
       "      <td>1.735258</td>\n",
       "      <td>10362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20058</th>\n",
       "      <td>99</td>\n",
       "      <td>HG934063.1</td>\n",
       "      <td>SCA</td>\n",
       "      <td>PacBio HiFi</td>\n",
       "      <td>2.012258</td>\n",
       "      <td>9214.48</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005218</td>\n",
       "      <td>1437815</td>\n",
       "      <td>0.006578</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.005218</td>\n",
       "      <td>2</td>\n",
       "      <td>0.117020</td>\n",
       "      <td>0.044592</td>\n",
       "      <td>1.735258</td>\n",
       "      <td>10362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20059</th>\n",
       "      <td>99</td>\n",
       "      <td>HG934063.1</td>\n",
       "      <td>SCA</td>\n",
       "      <td>PacBio HiFi</td>\n",
       "      <td>2.012258</td>\n",
       "      <td>9214.48</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007439</td>\n",
       "      <td>1437815</td>\n",
       "      <td>0.006578</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.003775</td>\n",
       "      <td>2</td>\n",
       "      <td>0.117020</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>1.735258</td>\n",
       "      <td>10362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20060</th>\n",
       "      <td>99</td>\n",
       "      <td>HG934063.1</td>\n",
       "      <td>SCA</td>\n",
       "      <td>PacBio HiFi</td>\n",
       "      <td>2.012258</td>\n",
       "      <td>9214.48</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.019762</td>\n",
       "      <td>1437815</td>\n",
       "      <td>0.009374</td>\n",
       "      <td>Strain</td>\n",
       "      <td>0.003442</td>\n",
       "      <td>2</td>\n",
       "      <td>0.117020</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>1.735258</td>\n",
       "      <td>10362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20061</th>\n",
       "      <td>99</td>\n",
       "      <td>HG934063.1</td>\n",
       "      <td>SCA</td>\n",
       "      <td>PacBio HiFi</td>\n",
       "      <td>2.012258</td>\n",
       "      <td>9214.48</td>\n",
       "      <td>0.016</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004108</td>\n",
       "      <td>34353</td>\n",
       "      <td>0.011274</td>\n",
       "      <td>Family</td>\n",
       "      <td>0.002776</td>\n",
       "      <td>5</td>\n",
       "      <td>0.117020</td>\n",
       "      <td>0.023719</td>\n",
       "      <td>1.735258</td>\n",
       "      <td>10362</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20062 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       read_id       accID  Method     Platform  Time (s)  RAM Usage  \\\n",
       "0            0  CP083471.1  SCA+LC   PacBio CLR  1.659862   11277.52   \n",
       "1            1  HE576754.1  SCA+LC   PacBio CLR  1.659862   11277.52   \n",
       "2            1  HE576754.1  SCA+LC   PacBio CLR  1.659862   11277.52   \n",
       "3            1  HE576754.1  SCA+LC   PacBio CLR  1.659862   11277.52   \n",
       "4            1  HE576754.1  SCA+LC   PacBio CLR  1.659862   11277.52   \n",
       "...        ...         ...     ...          ...       ...        ...   \n",
       "20057       99  HG934063.1     SCA  PacBio HiFi  2.012258    9214.48   \n",
       "20058       99  HG934063.1     SCA  PacBio HiFi  2.012258    9214.48   \n",
       "20059       99  HG934063.1     SCA  PacBio HiFi  2.012258    9214.48   \n",
       "20060       99  HG934063.1     SCA  PacBio HiFi  2.012258    9214.48   \n",
       "20061       99  HG934063.1     SCA  PacBio HiFi  2.012258    9214.48   \n",
       "\n",
       "       Chaining  Extension  MLATime  \\# Label Changes  ...  \\\n",
       "0         0.046      2.211     0.00               0.0  ...   \n",
       "1         0.051      0.974     0.03               0.0  ...   \n",
       "2         0.051      0.974     0.03               0.0  ...   \n",
       "3         0.051      0.974     0.03               0.0  ...   \n",
       "4         0.051      0.974     0.03               0.0  ...   \n",
       "...         ...        ...      ...               ...  ...   \n",
       "20057     0.016      0.261     0.00               NaN  ...   \n",
       "20058     0.016      0.261     0.00               NaN  ...   \n",
       "20059     0.016      0.261     0.00               NaN  ...   \n",
       "20060     0.016      0.261     0.00               NaN  ...   \n",
       "20061     0.016      0.261     0.00               NaN  ...   \n",
       "\n",
       "       Relative Length Cutoff  class_taxid WGSUniFrac  BestNamedLevel  \\\n",
       "0                    1.000000      3095872   0.000000       Accession   \n",
       "1                    0.165766      1064592   0.062500          Strain   \n",
       "2                    0.104891      1064592   0.062500          Strain   \n",
       "3                    0.089060      1064592   0.062500          Strain   \n",
       "4                    0.085586      1064592   0.062500          Strain   \n",
       "...                       ...          ...        ...             ...   \n",
       "20057                0.006328      1437815   0.006578          Strain   \n",
       "20058                0.005218      1437815   0.006578          Strain   \n",
       "20059                0.007439      1437815   0.006578          Strain   \n",
       "20060                0.019762      1437815   0.009374          Strain   \n",
       "20061                0.004108        34353   0.011274          Family   \n",
       "\n",
       "      Relative Score  Rank of LCA  Top Relative Score  Scaled Relative Score  \\\n",
       "0           0.790919            1            0.790919               1.000000   \n",
       "1           0.136680            2            0.136680               1.000000   \n",
       "2           0.084556            2            0.136680               0.618644   \n",
       "3           0.071171            2            0.136680               0.520716   \n",
       "4           0.068211            2            0.136680               0.499058   \n",
       "...              ...          ...                 ...                    ...   \n",
       "20057       0.006106            2            0.117020               0.052182   \n",
       "20058       0.005218            2            0.117020               0.044592   \n",
       "20059       0.003775            2            0.117020               0.032258   \n",
       "20060       0.003442            2            0.117020               0.029412   \n",
       "20061       0.002776            5            0.117020               0.023719   \n",
       "\n",
       "       Overhead  Number of components in graph  \n",
       "0     -0.597137                             15  \n",
       "1      0.604862                           2968  \n",
       "2      0.604862                           2968  \n",
       "3      0.604862                           2968  \n",
       "4      0.604862                           2968  \n",
       "...         ...                            ...  \n",
       "20057  1.735258                          10362  \n",
       "20058  1.735258                          10362  \n",
       "20059  1.735258                          10362  \n",
       "20060  1.735258                          10362  \n",
       "20061  1.735258                          10362  \n",
       "\n",
       "[20062 rows x 21 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "count    16641.000000\n",
       "mean         0.140967\n",
       "std          0.179926\n",
       "min          0.000000\n",
       "25%          0.052632\n",
       "50%          0.078891\n",
       "75%          0.178724\n",
       "max          1.366418\n",
       "Name: WGSUniFrac, dtype: float64"
      ]
     },
     "execution_count": 679,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "in_files = glob.glob(\"*/*.sweep.tsv\")\n",
    "assert(len(in_files))\n",
    "nseeds = 0.01\n",
    "\n",
    "\n",
    "tables = []\n",
    "for file in in_files:\n",
    "    fsplit = file.split(\"/\")[-1].split(\".\")\n",
    "    platform = platforms[fsplit[0]]\n",
    "    infile = f'{fsplit[0]}.tiny.fa'\n",
    "    if fsplit[-4] == \"tsv\":\n",
    "        if fsplit[-5] == \"mla\":\n",
    "            cur_nseeds = float(\".\".join(fsplit[-7:-5]))\n",
    "            if cur_nseeds != nseeds:\n",
    "                continue\n",
    "            method = \"SCA+LC+NC\"\n",
    "            logfile = f'{infile}.{nseeds}.mla.log'\n",
    "            alnfile = f'{infile}.{nseeds}.mla.tsv'\n",
    "        elif fsplit[-5] == \"mlahap\":\n",
    "            cur_nseeds = float(\".\".join(fsplit[-7:-5]))\n",
    "            if cur_nseeds != nseeds:\n",
    "                continue\n",
    "            method = \"SCA+LC100\"\n",
    "            logfile = f'{infile}.{nseeds}.mlahap.log'\n",
    "            alnfile = f'{infile}.{nseeds}.mlahap.tsv'\n",
    "        elif fsplit[-5] == \"mlahap10\":\n",
    "            continue\n",
    "        elif fsplit[-5] == \"mlalt\":\n",
    "            cur_nseeds = float(\".\".join(fsplit[-7:-5]))\n",
    "            if cur_nseeds != nseeds:\n",
    "                continue\n",
    "            method = \"SCA+LC\"\n",
    "            logfile = f'{infile}.{nseeds}.mlalt.log'\n",
    "            alnfile = f'{infile}.{nseeds}.mlalt.tsv'\n",
    "        else:\n",
    "            cur_nseeds = float(\".\".join(fsplit[-6:-4]))\n",
    "            if cur_nseeds != nseeds:\n",
    "                continue\n",
    "            method = \"SCA\"\n",
    "            logfile = f'{infile}.{nseeds}.log'\n",
    "    elif fsplit[-4] == \"gaf\":\n",
    "        method = \"GraphAligner\"\n",
    "        logfile = f'../ga_jointgraph/{infile}.log'\n",
    "    elif fsplit[-4] == \"out\":\n",
    "        assert(fsplit[-5] == \"plast\")\n",
    "        method = \"PLAST\"\n",
    "        logfile = f'../plast_aln/{infile}.plast.log'\n",
    "    with open(file, 'r') as f,open(logfile, 'r') as g:\n",
    "        table = pd.read_table(f, header=None, names=[\"read_id\",\"accID\",\"true_taxid\",\"header\",\"class_taxid\",\"classification\"])\n",
    "        table[\"Method\"] = method\n",
    "        table[\"Platform\"] = platform\n",
    "        if method in [\"GraphAligner\",\"PLAST\"]:\n",
    "            g_iter = (line for line in g if line.find(\"Elapsed\")!=-1 or line.find(\"Maximum resident set size\") != -1)\n",
    "            dtime = parse_elapsed(next(g_iter))\n",
    "            maxrss = int(next(g_iter).rstrip().split()[-1])\n",
    "            table[\"Time (s)\"] = dtime/len(table)\n",
    "            table[\"RAM Usage\"] = maxrss/len(table)\n",
    "        elif method in [\"SCA+LC+NC\",\"SCA+LC100\",\"SCA+LC\"]:\n",
    "            mla_start = 0\n",
    "            mla_end = 0\n",
    "            chain_time = []\n",
    "            ext_time = []\n",
    "            mla_time = []\n",
    "            num_label_changes = []\n",
    "            with open(alnfile, 'r') as h:\n",
    "                for line in h:\n",
    "                    line = line.rstrip().split()\n",
    "                    if line[2] == \"*\":\n",
    "                        num_label_changes.append(0)\n",
    "                        continue\n",
    "                    orientation,target,score,nmatches,cigar,offset,labels = line[2:9]\n",
    "                    labels = labels.split(\">\")\n",
    "                    if len(labels) == 1:\n",
    "                        num_label_changes.append(0)\n",
    "                        continue\n",
    "                    labels_parse = (a.split(\":\")[0] for a in labels)\n",
    "                    num_label_changes.append(len([a for a in labels_parse if len(a)]))\n",
    "                    \n",
    "            for line in g:\n",
    "                if line.find(\"throughput\") != -1:\n",
    "                    total_time = float(line.rstrip().split()[-2])\n",
    "                    table[\"Time (s)\"] = total_time/len(table)\n",
    "                    continue\n",
    "                if line.find(\"Maximum resident set size\") != -1:\n",
    "                    maxrss = int(line.rstrip().split()[-1])\n",
    "                    table[\"RAM Usage\"] = maxrss/len(table)\n",
    "                    continue\n",
    "                line = line.split(\"\\t\")\n",
    "                if len(line) < 3:\n",
    "                    first_split = line[0].split(\" \")\n",
    "                    if line[0][-12:] == \"coordinates\\n\":\n",
    "                        dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                        aln_start = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                    elif len(first_split) > 3 and first_split[3] == \"Reduced\":\n",
    "                        dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                        ext_start = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                    elif len(first_split) > 4 and \" \".join(first_split[3:5]) == \"Chaining alignments\":\n",
    "                        dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                        mla_start = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                    elif len(first_split) > 3 and first_split[3] == \"Assembled\":\n",
    "                        dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                        mla_end = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                    continue\n",
    "\n",
    "                if line[2][:9] != \"covered: \":\n",
    "                    continue\n",
    "                    \n",
    "                dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                aln_end = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                \n",
    "                assert(aln_end >= ext_start)\n",
    "                if ext_start < aln_start:\n",
    "                    chain_time.append(0)\n",
    "                    ext_time.append(0)\n",
    "                    mla_time.append(0)\n",
    "                else:\n",
    "                    chain_time.append(ext_start - aln_start)\n",
    "                    ext_time.append(mla_start - ext_start if mla_start >= ext_start else aln_end - ext_start)\n",
    "                    mla_time.append(mla_end - mla_start if mla_start >= ext_start else 0)\n",
    "                aln_start = 0\n",
    "                ext_start = 0\n",
    "                mla_start = 0\n",
    "                mla_end = 0\n",
    "            table[\"Chaining\"] = chain_time\n",
    "            table[\"Extension\"] = ext_time\n",
    "            table[\"MLATime\"] = mla_time\n",
    "            table[\"\\# Label Changes\"] = num_label_changes\n",
    "        elif method == \"SCA\":\n",
    "            chain_time = []\n",
    "            ext_time = []\n",
    "            mla_time = []\n",
    "            for line in g:\n",
    "                if line.find(\"throughput\") != -1:\n",
    "                    total_time = float(line.rstrip().split()[-2])\n",
    "                    table[\"Time (s)\"] = total_time/len(table)\n",
    "                    continue\n",
    "                if line.find(\"Maximum resident set size\") != -1:\n",
    "                    maxrss = int(line.rstrip().split()[-1])\n",
    "                    table[\"RAM Usage\"] = maxrss/len(table)\n",
    "                    continue\n",
    "                line = line.split(\"\\t\")\n",
    "                if len(line) < 3:\n",
    "                    first_split = line[0].split(\" \")\n",
    "                    if line[0][-12:] == \"coordinates\\n\":\n",
    "                        dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                        aln_start = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                    elif len(first_split) > 3 and first_split[3] == \"Reduced\":\n",
    "                        dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                        ext_start = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                    continue\n",
    "                \n",
    "                if line[2][:9] != \"covered: \":\n",
    "                    continue\n",
    "                    \n",
    "                dtime = ciso8601.parse_datetime(\" \".join(line[0][1:].split(\" \")[:2])[:-1])\n",
    "                aln_end = time.mktime(dtime.timetuple()) + dtime.microsecond/1000000\n",
    "                assert(aln_end >= ext_start)\n",
    "                if ext_start < aln_start:\n",
    "                    chain_time.append(0)\n",
    "                    ext_time.append(0)\n",
    "                else:\n",
    "                    chain_time.append(ext_start - aln_start)\n",
    "                    ext_time.append(aln_end - ext_start)\n",
    "                mla_time.append(0)\n",
    "                \n",
    "                aln_start = 0\n",
    "                ext_start = 0\n",
    "                mla_start = 0\n",
    "            table[\"Chaining\"] = chain_time\n",
    "            table[\"Extension\"] = ext_time\n",
    "            table[\"MLATime\"] = mla_time\n",
    "        else:\n",
    "            assert(False)\n",
    "    tables.append(table)\n",
    "df = pd.concat(tables)\n",
    "df[\"classification\"] = df[\"classification\"].transform(lambda x:x.split(\";\"))\n",
    "df = df.explode(\"classification\")\n",
    "df[\"classification\"] = df[\"classification\"].transform(lambda x:x.split(\",\"))\n",
    "df = df.drop(columns=['true_taxid','class_taxid'])\n",
    "df[[\"Total Coverage\",\"Relative Length Cutoff\",\"class_taxid\",\"WGSUniFrac\",\"BestNamedLevel\",\"BestLevel\",\"Relative Score\"]] \\\n",
    "    = pd.DataFrame(df[\"classification\"].apply(pd.Series))\n",
    "df = df.drop(columns=['classification','header',\"BestLevel\"])\n",
    "df[\"Rank of LCA\"] = df[\"BestNamedLevel\"].transform(lambda x:kept_levels[x][1])\n",
    "df[\"BestNamedLevel\"] = df[\"BestNamedLevel\"].transform(lambda x:kept_levels[x][0])\n",
    "\n",
    "df = df.astype({\n",
    "   \"Total Coverage\":float,\n",
    "   \"Relative Length Cutoff\":float,\n",
    "   \"WGSUniFrac\":float,\n",
    "   \"Relative Score\":float,\n",
    "}).reset_index().drop(columns=['index'])\n",
    "\n",
    "df[\"Top Relative Score\"] = df.groupby([\"Method\",\"Platform\",\"read_id\"])[\"Relative Score\"].transform('max')\n",
    "df[\"Scaled Relative Score\"] = df[\"Relative Score\"] / df[\"Top Relative Score\"]\n",
    "\n",
    "df[\"Overhead\"] = df[\"Time (s)\"] - (df[\"Extension\"] + np.nan_to_num(df[\"Chaining\"] + df[\"MLATime\"], nan=0))\n",
    "\n",
    "df.loc[df[\"Method\"] == \"GraphAligner\",\"WGSUniFrac\"] = np.nan\n",
    "df[\"Number of components in graph\"] = df['accID'].map(sample_ids_to_comp.set_index(\"sample_id\").squeeze())\n",
    "\n",
    "assert(df[\"Relative Score\"].min() == 0.0)\n",
    "assert(df[\"Relative Score\"].max() <= 1.0)\n",
    "\n",
    "df[\"Method\"] = pd.Categorical(df[\"Method\"],categories=hue_order_supp)\n",
    "df[\"Platform\"] = pd.Categorical(df[\"Platform\"],categories=platforms.values())\n",
    "\n",
    "display(df)\n",
    "\n",
    "nreads = df[\"read_id\"].max() + 1\n",
    "df[\"WGSUniFrac\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 680,
   "id": "b97d5c4a-9c16-4711-9926-3843706e553d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiIndex([( 'Chaining', 'agg_mean_std'),\n",
      "            ( 'Chaining',          'sum'),\n",
      "            ('Extension', 'agg_mean_std'),\n",
      "            ('Extension',          'sum'),\n",
      "            (  'MLATime', 'agg_mean_std'),\n",
      "            (  'MLATime',          'sum'),\n",
      "            ( 'Time (s)',          'sum'),\n",
      "            ( 'Overhead', 'agg_mean_std'),\n",
      "            ( 'Overhead',          'sum'),\n",
      "            ( 'Chaining',           '\\%'),\n",
      "            ('Extension',           '\\%'),\n",
      "            (  'MLATime',           '\\%'),\n",
      "            ( 'Overhead',           '\\%')],\n",
      "           )\n",
      "\\begin{tabular}{lllrlrlrrrr}\n",
      "\\toprule\n",
      "    &           & \\multicolumn{2}{l}{Chaining} & \\multicolumn{2}{l}{Extension} & \\multicolumn{2}{l}{MLATime} & \\multicolumn{2}{l}{Overhead} & Time (s) \\\\\n",
      "    &           &     mean$\\pm$std &     \\% &     mean$\\pm$std &     \\% &     mean$\\pm$std &     \\% &      sum &     \\% &      sum \\\\\n",
      "Platform & Method &                  &        &                  &        &                  &        &          &        &          \\\\\n",
      "\\midrule\n",
      "Illumina & SCA &  $0.002\\pm0.007$ & 25.342 &  $0.004\\pm0.009$ & 43.071 &  $0.000\\pm0.000$ &  0.000 &    0.278 & 31.587 &    0.880 \\\\\n",
      "    & SCA+LC100 &  $0.002\\pm0.007$ & 25.650 &  $0.004\\pm0.008$ & 43.462 &  $0.000\\pm0.000$ &  0.119 &    0.259 & 30.770 &    0.842 \\\\\n",
      "    & SCA+LC &  $0.003\\pm0.008$ & 22.862 &  $0.005\\pm0.010$ & 42.431 &  $0.000\\pm0.000$ &  0.000 &    0.380 & 34.707 &    1.094 \\\\\n",
      "    & SCA+LC+NC &  $0.002\\pm0.007$ & 24.732 &  $0.004\\pm0.008$ & 44.804 &  $0.000\\pm0.000$ &  0.119 &    0.254 & 30.345 &    0.837 \\\\\n",
      "PacBio HiFi & SCA &  $1.034\\pm3.260$ & 51.367 &  $0.825\\pm1.267$ & 41.021 &  $0.000\\pm0.000$ &  0.000 &   15.319 &  7.613 &  201.226 \\\\\n",
      "    & SCA+LC100 &  $1.022\\pm3.217$ & 47.449 &  $0.852\\pm1.270$ & 39.552 &  $0.125\\pm0.264$ &  5.814 &   15.471 &  7.185 &  215.323 \\\\\n",
      "    & SCA+LC &  $1.075\\pm3.349$ & 42.225 &  $1.086\\pm1.555$ & 42.630 &  $0.176\\pm0.361$ &  6.895 &   21.006 &  8.249 &  254.631 \\\\\n",
      "    & SCA+LC+NC &  $1.006\\pm3.174$ & 46.134 &  $0.824\\pm1.231$ & 37.789 &  $0.203\\pm0.425$ &  9.317 &   14.739 &  6.760 &  218.045 \\\\\n",
      "PacBio CLR & SCA &  $0.183\\pm0.381$ & 11.571 &  $1.331\\pm2.589$ & 83.999 &  $0.000\\pm0.000$ &  0.000 &    7.022 &  4.431 &  158.497 \\\\\n",
      "    & SCA+LC100 &  $0.193\\pm0.403$ & 10.948 &  $1.432\\pm2.651$ & 81.129 &  $0.058\\pm0.180$ &  3.261 &    8.227 &  4.662 &  176.482 \\\\\n",
      "    & SCA+LC &  $0.183\\pm0.380$ & 11.015 &  $1.338\\pm2.578$ & 80.595 &  $0.067\\pm0.207$ &  4.060 &    7.187 &  4.330 &  165.986 \\\\\n",
      "    & SCA+LC+NC &  $0.196\\pm0.410$ & 11.135 &  $1.411\\pm2.648$ & 80.000 &  $0.078\\pm0.227$ &  4.445 &    7.794 &  4.420 &  176.329 \\\\\n",
      "ONT & SCA &  $0.289\\pm0.839$ & 20.616 &  $1.033\\pm1.670$ & 73.745 &  $0.000\\pm0.000$ &  0.000 &    7.900 &  5.639 &  140.087 \\\\\n",
      "    & SCA+LC100 &  $0.284\\pm0.825$ & 17.877 &  $1.033\\pm1.661$ & 65.009 &  $0.193\\pm1.362$ & 12.162 &    7.869 &  4.952 &  158.897 \\\\\n",
      "    & SCA+LC &  $0.329\\pm0.938$ & 15.780 &  $1.417\\pm2.264$ & 67.976 &  $0.221\\pm1.510$ & 10.626 &   11.711 &  5.618 &  208.450 \\\\\n",
      "    & SCA+LC+NC &  $0.282\\pm0.824$ & 17.428 &  $0.998\\pm1.610$ & 61.674 &  $0.265\\pm1.860$ & 16.371 &    7.325 &  4.527 &  161.794 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_875641/3301156525.py:38: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
      "  print(df_breakdown.to_latex(escape=False,float_format=\"%.3f\").replace(\"agg_mean_std\",\"mean$\\pm$std\"))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Chaining</th>\n",
       "      <th>Extension</th>\n",
       "      <th>MLATime</th>\n",
       "      <th>Overhead</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>\\%</th>\n",
       "      <th>\\%</th>\n",
       "      <th>\\%</th>\n",
       "      <th>\\%</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platform</th>\n",
       "      <th>Method</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Illumina</th>\n",
       "      <th>SCA</th>\n",
       "      <td>25.342225</td>\n",
       "      <td>43.070622</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.587154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>25.649702</td>\n",
       "      <td>43.462039</td>\n",
       "      <td>0.118740</td>\n",
       "      <td>30.769519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>22.861921</td>\n",
       "      <td>42.431391</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>34.706687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>24.731820</td>\n",
       "      <td>44.804099</td>\n",
       "      <td>0.119497</td>\n",
       "      <td>30.344583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">PacBio HiFi</th>\n",
       "      <th>SCA</th>\n",
       "      <td>51.366667</td>\n",
       "      <td>41.020579</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.612754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>47.448671</td>\n",
       "      <td>39.552170</td>\n",
       "      <td>5.814050</td>\n",
       "      <td>7.185109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>42.225484</td>\n",
       "      <td>42.630384</td>\n",
       "      <td>6.894694</td>\n",
       "      <td>8.249438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>46.134103</td>\n",
       "      <td>37.789488</td>\n",
       "      <td>9.316894</td>\n",
       "      <td>6.759516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">PacBio CLR</th>\n",
       "      <th>SCA</th>\n",
       "      <td>11.570539</td>\n",
       "      <td>83.998874</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.430588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>10.948412</td>\n",
       "      <td>81.128862</td>\n",
       "      <td>3.260952</td>\n",
       "      <td>4.661773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>11.014768</td>\n",
       "      <td>80.595231</td>\n",
       "      <td>4.059975</td>\n",
       "      <td>4.330026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>11.134893</td>\n",
       "      <td>80.000061</td>\n",
       "      <td>4.445110</td>\n",
       "      <td>4.419936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">ONT</th>\n",
       "      <th>SCA</th>\n",
       "      <td>20.615802</td>\n",
       "      <td>73.745033</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.639166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>17.877039</td>\n",
       "      <td>65.008957</td>\n",
       "      <td>12.162000</td>\n",
       "      <td>4.952004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>15.780315</td>\n",
       "      <td>67.976150</td>\n",
       "      <td>10.625591</td>\n",
       "      <td>5.617944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>17.428353</td>\n",
       "      <td>61.673554</td>\n",
       "      <td>16.370836</td>\n",
       "      <td>4.527257</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Chaining  Extension    MLATime   Overhead\n",
       "                              \\%         \\%         \\%         \\%\n",
       "Platform    Method                                               \n",
       "Illumina    SCA        25.342225  43.070622   0.000000  31.587154\n",
       "            SCA+LC100  25.649702  43.462039   0.118740  30.769519\n",
       "            SCA+LC     22.861921  42.431391   0.000000  34.706687\n",
       "            SCA+LC+NC  24.731820  44.804099   0.119497  30.344583\n",
       "PacBio HiFi SCA        51.366667  41.020579   0.000000   7.612754\n",
       "            SCA+LC100  47.448671  39.552170   5.814050   7.185109\n",
       "            SCA+LC     42.225484  42.630384   6.894694   8.249438\n",
       "            SCA+LC+NC  46.134103  37.789488   9.316894   6.759516\n",
       "PacBio CLR  SCA        11.570539  83.998874   0.000000   4.430588\n",
       "            SCA+LC100  10.948412  81.128862   3.260952   4.661773\n",
       "            SCA+LC     11.014768  80.595231   4.059975   4.330026\n",
       "            SCA+LC+NC  11.134893  80.000061   4.445110   4.419936\n",
       "ONT         SCA        20.615802  73.745033   0.000000   5.639166\n",
       "            SCA+LC100  17.877039  65.008957  12.162000   4.952004\n",
       "            SCA+LC     15.780315  67.976150  10.625591   5.617944\n",
       "            SCA+LC+NC  17.428353  61.673554  16.370836   4.527257"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def agg_mean_std(x):\n",
    "    if np.any(np.isnan(x)):\n",
    "        return np.nan\n",
    "    return \"${:.3f}\\pm{:.3f}$\".format(x.mean(), x.std())\n",
    "\n",
    "df_breakdown = df.groupby([\"Platform\",\"Method\",\"read_id\"]).apply(\n",
    "    lambda x:x.iloc[0].drop([\"Platform\",\"Method\",\"read_id\"])\n",
    ").reset_index().groupby([\"Platform\",\"Method\"]).agg({\n",
    "    \"Chaining\":[agg_mean_std,'sum'],\n",
    "    \"Extension\":[agg_mean_std,'sum'],\n",
    "    \"MLATime\":[agg_mean_std,'sum'],\n",
    "    \"Time (s)\":'sum',\n",
    "    \"Overhead\":[agg_mean_std,'sum'],\n",
    "}).dropna()\n",
    "\n",
    "for a in [\"Chaining\",\"Extension\",\"MLATime\",\n",
    "          \"Overhead\"\n",
    "         ]:\n",
    "    df_breakdown[(a,\"\\%\")] = df_breakdown[(a,\"sum\")] / df_breakdown[(\"Time (s)\",\"sum\")] * 100\n",
    "\n",
    "print(df_breakdown.columns)\n",
    "df_breakdown = df_breakdown[df_breakdown.columns[[\n",
    "    0,9,\n",
    "    2,10,\n",
    "    4,11,\n",
    "    8,12,\n",
    "    6\n",
    "]]]\n",
    "print(df_breakdown.to_latex(escape=False,float_format=\"%.3f\").replace(\"agg_mean_std\",\"mean$\\pm$std\"))\n",
    "display(df_breakdown[df_breakdown.columns[[1,3,5,7]]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 684,
   "id": "1f8227d0-5e65-4788-8c0e-65a085036675",
   "metadata": {},
   "outputs": [],
   "source": [
    "figwidth = 7\n",
    "fontsize = 8\n",
    "aspect=1.3\n",
    "\n",
    "height = figwidth / aspect / len(platforms)\n",
    "\n",
    "mpl_rc = {\n",
    "    'font.family':['Source Sans 3'],\n",
    "    'figure.dpi':200,\n",
    "    'figure.figsize':(figwidth,figwidth),\n",
    "    'legend.frameon': False,\n",
    "    'legend.fontsize':fontsize,\n",
    "    'legend.title_fontsize':fontsize,\n",
    "    'xtick.labelsize':fontsize,\n",
    "    'ytick.labelsize':fontsize,\n",
    "    'axes.labelsize':fontsize,\n",
    "    'pdf.fonttype':42,\n",
    "    'savefig.pad_inches':0,\n",
    "    'savefig.bbox':\"tight\",\n",
    "}\n",
    "\n",
    "global_params = {\n",
    "    \"hue\":\"Method\",\n",
    "    \"palette\":palette,\n",
    "}\n",
    "facet_params = {\n",
    "    \"col\":\"Platform\",\n",
    "    \"aspect\":aspect,\n",
    "    \"height\":height,\n",
    "}\n",
    "line_params = {\n",
    "    \"linewidth\":1,\n",
    "}\n",
    "\n",
    "plot_versions = [\n",
    "    (hue_order,\"\"),\n",
    "    (hue_order_supp,\"_supp\")\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 685,
   "id": "e110051b-dd44-438b-996e-2a8fba1a1eed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1603.12x269.231 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1603.12x269.231 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with matplotlib.rc_context(mpl_rc),sns.axes_style(\"whitegrid\",rc={'font.family':['Source Sans 3'],}),sns.color_palette(**palette_rc):\n",
    "    for hod,fsuff in plot_versions:\n",
    "        df_agg_best = df[np.isin(df[\"Method\"],hod)].groupby([\"Platform\",\"Method\",\"read_id\"]).agg({\"Total Coverage\":\"min\"}).rename(\n",
    "            columns={\"Total Coverage\":\"Coverage of Best Alignment\"}\n",
    "        ).reset_index().copy()\n",
    "        df_agg_best[\"Method\"] = pd.Categorical(df_agg_best[\"Method\"],categories=hod)\n",
    "        params = {\n",
    "            \"data\":df_agg_best,\n",
    "            \"x\":\"Method\",\n",
    "            \"y\":\"Coverage of Best Alignment\",\n",
    "            \"linewidth\":0.5,\n",
    "        }\n",
    "    \n",
    "        g = sns.catplot(**params,\n",
    "                        **global_params,\n",
    "                        **facet_params,\n",
    "                        kind=\"violin\",cut=0,inner=None,\n",
    "                        alpha=0.5,\n",
    "                        edgecolor='black',\n",
    "                        legend=\"full\",\n",
    "                        sharex=False,\n",
    "                ).set_titles(col_template=\"{col_name}\").set_xticklabels(np.arange(len(hod))).tick_params(\n",
    "            top=True,labeltop=True,bottom=False,labelbottom=False,length=0,\n",
    "        ).set(yticks=[0,0.25,0.5,0.75,1.0])\n",
    "        \n",
    "        g.map_dataframe(sns.boxplot,\n",
    "                        **params,\n",
    "                        **(global_params | {\"palette\":\"dark:black\"}),\n",
    "                        fliersize=0,\n",
    "                        fill=None,\n",
    "                        width=0.4,\n",
    "                        medianprops={'linewidth':2})\n",
    "        df_plat_groups = df_agg_best.groupby([\"Platform\",\"Method\"]).agg({params[\"y\"]:'median'}).reset_index().groupby(\"Platform\")\n",
    "        for ax,(platform,df_plat) in zip(g.axes.flat,df_plat_groups):\n",
    "            xticklabels = [\n",
    "                (\"{:.1f}\" if platform != \"Illumina\" else \"{:.0f}\").format(\n",
    "                    df_plat_meth[params[\"y\"]].iloc[0]*100\n",
    "                ) for method,df_plat_meth in df_plat.groupby(\"Method\")\n",
    "            ]\n",
    "            ax.set_xticklabels(xticklabels)\n",
    "            ax.tick_params(axis=\"x\",pad=0)\n",
    "        g.set_axis_labels(x_var=\"\",y_var=\"Coverage (%)\")\n",
    "        g.legend.set_title(None)\n",
    "        ax = g.axes.flat[0]\n",
    "        ax.yaxis.set_major_formatter(mtick.PercentFormatter(1.0,symbol=\"\"))\n",
    "    \n",
    "        g.tight_layout()\n",
    "        g.savefig(f'coverage_best{fsuff}.pdf')\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 686,
   "id": "b39b55ca-75a7-4159-9e80-d177cc9d5b8c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████| 24/24 [00:11<00:00,  2.05it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Platform</th>\n",
       "      <th>Method</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Min. Relative Score Cutoff</th>\n",
       "      <th>UniFrac Accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Illumina</td>\n",
       "      <td>GraphAligner</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Illumina</td>\n",
       "      <td>GraphAligner</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Illumina</td>\n",
       "      <td>GraphAligner</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.980400</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Illumina</td>\n",
       "      <td>GraphAligner</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.966667</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Illumina</td>\n",
       "      <td>GraphAligner</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.913333</td>\n",
       "      <td>()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18935</th>\n",
       "      <td>ONT</td>\n",
       "      <td>SCA+LC+NC</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000526</td>\n",
       "      <td>(0.8933744960387945, 0.8114035087719297, 0.874...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18936</th>\n",
       "      <td>ONT</td>\n",
       "      <td>SCA+LC+NC</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000507</td>\n",
       "      <td>(0.8933744960387945, 0.8114035087719297, 0.874...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18937</th>\n",
       "      <td>ONT</td>\n",
       "      <td>SCA+LC+NC</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000501</td>\n",
       "      <td>(0.8933744960387945, 0.8114035087719297, 0.874...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18938</th>\n",
       "      <td>ONT</td>\n",
       "      <td>SCA+LC+NC</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>(0.8933744960387945, 0.8114035087719297, 0.874...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18939</th>\n",
       "      <td>ONT</td>\n",
       "      <td>SCA+LC+NC</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>(0.8933744960387945, 0.8114035087719297, 0.874...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18940 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Platform        Method  Recall  Min. Relative Score Cutoff  \\\n",
       "0      Illumina  GraphAligner    0.00                         NaN   \n",
       "1      Illumina  GraphAligner    0.56                    1.000000   \n",
       "2      Illumina  GraphAligner    0.68                    0.980400   \n",
       "3      Illumina  GraphAligner    0.69                    0.966667   \n",
       "4      Illumina  GraphAligner    0.70                    0.913333   \n",
       "...         ...           ...     ...                         ...   \n",
       "18935       ONT     SCA+LC+NC    1.00                    0.000526   \n",
       "18936       ONT     SCA+LC+NC    1.00                    0.000507   \n",
       "18937       ONT     SCA+LC+NC    1.00                    0.000501   \n",
       "18938       ONT     SCA+LC+NC    1.00                    0.000500   \n",
       "18939       ONT     SCA+LC+NC    1.00                    0.000000   \n",
       "\n",
       "                                        UniFrac Accuracy  \n",
       "0                                                     ()  \n",
       "1                                                     ()  \n",
       "2                                                     ()  \n",
       "3                                                     ()  \n",
       "4                                                     ()  \n",
       "...                                                  ...  \n",
       "18935  (0.8933744960387945, 0.8114035087719297, 0.874...  \n",
       "18936  (0.8933744960387945, 0.8114035087719297, 0.874...  \n",
       "18937  (0.8933744960387945, 0.8114035087719297, 0.874...  \n",
       "18938  (0.8933744960387945, 0.8114035087719297, 0.874...  \n",
       "18939  (0.8933744960387945, 0.8114035087719297, 0.874...  \n",
       "\n",
       "[18940 rows x 5 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def compute_unifracs(x):\n",
    "    cutoffs = sorted(x[\"Relative Score\"].unique().tolist(),reverse=True)\n",
    "    cur_found = np.zeros(nreads).astype(bool)\n",
    "    cur_unifracs = np.ones(nreads) * np.nan\n",
    "    cur_mask = ~np.isnan(cur_unifracs)\n",
    "    \n",
    "    unifracs = []\n",
    "    recalls = []\n",
    "    \n",
    "    cur_nfound = 0\n",
    "\n",
    "    unifracs.append(np.array([]))\n",
    "    recalls.append(0.0)\n",
    "    \n",
    "    for cutoff in cutoffs:\n",
    "        if cutoff == 0:\n",
    "            break\n",
    "        grouped = x[x[\"Relative Score\"] == cutoff].groupby(\"read_id\")\n",
    "        if grouped.ngroups > 0:\n",
    "            for read_id,df_r in grouped:\n",
    "                cur_found[read_id] = True\n",
    "                cur_unifracs[read_id] = 1-df_r[\"WGSUniFrac\"].iloc[-1]\n",
    "            cur_nfound = cur_found.sum()\n",
    "            cur_mask = ~np.isnan(cur_unifracs)\n",
    "            recalls.append(cur_nfound/nreads)\n",
    "            unifracs.append(cur_unifracs[cur_mask])\n",
    "    \n",
    "    if cutoffs[-1] != 0:\n",
    "        cutoffs.append(0)\n",
    "    recalls.append(cur_nfound/nreads)\n",
    "    unifracs.append(cur_unifracs[cur_mask])\n",
    "    return list(zip(np.concatenate([[np.nan],cutoffs]),unifracs,recalls))\n",
    "\n",
    "df_precrecall = df.groupby([\"Platform\",\"Method\"]).progress_apply(compute_unifracs).rename(\"Recall\").reset_index().explode(\"Recall\").copy()\n",
    "df_precrecall[\"Min. Relative Score Cutoff\"] = df_precrecall[\"Recall\"].transform(lambda x:x[0]).astype(float)\n",
    "df_precrecall[\"UniFrac Accuracy\"] = df_precrecall[\"Recall\"].transform(lambda x:tuple(x[1].tolist()))\n",
    "df_precrecall[\"Recall\"] = df_precrecall[\"Recall\"].transform(lambda x:x[2]).astype(float)\n",
    "df_precrecall = df_precrecall.reset_index(drop=True)\n",
    "display(df_precrecall)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 688,
   "id": "1e85ed24-4ce9-47ee-9006-f7a0138d71e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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lVdhutVqZOXMmb775ZrX7Xx0TJ06kRYsWfP/99+zfv79Gjy2EaJj8/f2ZOnUqeXl5TJs2rVKy4ciRI0yfPh2dTse///3vix5Po9Hw5JNPYrVaWbx4ce10WgghRIMhpZPEVeXssPYtW7awYsUKhg4dCuAcxrlo0SI6d+5MVFQUAGPGjGHlypU8//zzbNiwAUVRWLt2LXfeeWejuFk/fPhw3n//fW655RaGDBlCQUEBy5Ytu+AHYiFE4xMdHU3Lli35+eefKS0tpXXr1hw6dIhNmzbRoUMHTp8+XaH97bffTkJCAsuXL2f48OEMGzYMo9HIn3/+yb59+1iwYAExMTHO9oWFhcyaNQtwzP2Sl5fHjh07SExMxNPTkzfeeKPKye7PNWPGDA4ePMj777/P1q1b6datGydPnmTJkiUYjUbefvvtC046KIQQVblarn/XX3896enpvPHGG4wePZpBgwbRtm1bioqKWLNmDSdOnHDOaXGuffv28fLLL1d5zGeeeeaC5zQYDPzrX/9i6tSpvPDCC8ybN6/G5hYTQjRckyZNIj09nblz5zJs2DCGDBlCYGAgycnJrFq1CkVRePPNN6s9ErVv374MHDjQWW5JCCFE0yWJBnFVadGiBbfeeisLFy5k8eLFzkTD8OHDWbhwIbt27SIhIcGZaLjuuuuYPn06c+fOZfny5URERPCf//yHMWPGsHTp0voMpVqmTJmCzWZjwYIFfPHFF7Rv356nnnqK0aNHS4kSIZoQnU7H559/zgsvvMDatWvZuHEj/fr1Y8GCBSQmJrJz584K7bVaLe+++y4//PAD33//PfPnz0ej0dClSxc+++yzCjfZAIqKinj//fedy0ajkRYtWnDfffdx9913V6vmrre3N/PmzeOzzz7jl19+Ydu2bfj4+DB69GimTJninOxUCCEuxdV0/Zs4cSK9e/fm888/Z/PmzaxevRp3d3e6dOnCCy+8QN++fSvtk5yc7Jy09e8ulmgAuPbaa4mLiyMhIYEff/yRsWPHVquvQojGS1EUZsyYwaBBg5g7dy4rVqygsLCQgIAARo0axf3330/r1q0v6ZhPPvnkeUvICSGEaDoUtbHOciuEEEIIIYQQQgghhBBCiHonczQIIYQQQgghhBBCCCGEEOKySaJBCCGEEEIIIYQQQgghhBCXTRINQgghhBBCCCGEEEIIIYS4bJJoEEIIIYQQQgghhBBCCCHEZZNEgxBCCCGEEEIIIYQQQgghLpskGoQQQgghhBBCCCGEEEIIcdkk0SCEEEIIIYQQQgghhBBCiMsmiQYhhBBCCCGEEEIIIYQQQlw2STQIIYQQQgghhBBCCCGEEOKySaJBCCGEEEIIIYQQQgghhBCXTRINQgghhBBCCCGEEEIIIYS4bJJoEEIIIYQQQgghhBBCCCHEZZNEgxBCCCGEEEIIIYQQQgghLpskGqpBVVXMZjNmsxlVVeu7O0IIUWfk+ieEuFrJ9U8IcbWS658QQojG6K677iIyMpLMzMxaOf6sWbOIjIzkhx9+cK4rLS1l5MiRxMXFkZiYWCvnbUwaXKIhKSmJt99+m27dujF48ODztps/fz7Dhw8nOjqaa665ho8//hibzXbFbatisVjYu3cve/fuxWKxXHJMQgjRWMn1TwhxtZLrnxDiaiXXPyGEEOc6evQoM2bMYPDgwURHR9O1a1fGjh3LN99802T+TkydOpXIyEgmTJhwSftZrVYyMzMpKCigsLCwlnrXeOjquwPneu211/jyyy+dy76+vlW2+/jjj5k5cybR0dFMmjSJnTt3MnPmTE6dOsXzzz9/2W1rktlsZu/evQDExMRgMBhq7Vx1oanFA00vpqYWDzS9mJpaPOfT1OJsavFA04upqcUDTS+mphbP+TS1OJtaPND0Ympq8UDTi6mpxXM+TS3OphYPNL2Ymlo80PRiamrxXK3mzp3La6+9BsCAAQMYOXIkZrOZbdu28cILL7BkyRLmzJmDoij13NPLV1RUxLp16wgMDGTr1q3k5OTg5+dXrX09PDxYuXIlJSUlBAYG1nJPG74GlWi44YYb6NChA3a7naeeeqrKNidPnmTWrFn06NGDr7/+Gr1ej6qqPP7448ybN4+bbrqJrl27XnJbIYQQQgghhBBCCCGEEPDzzz/z0ksv0aZNG95//31at25dYfuCBQvw9/dv1EkGgLVr11JWVsajjz7KjBkzWLZsGePHj6/2/h4eHnh4eNRiDxuPBlU6qXPnztx4442MGjXqvG0WL16MxWJhypQp6PV6ABRFYdq0aQAV6mRdSlshhBBCCCGEEEIIIYS42plMJl566SXc3d357LPPKiUZAG6++Wbi4+ProXc1a8mSJfj7+zNu3Dj8/f1ZunRpfXep0WpQiYbq2LJlC3q9nl69elVY37p1a0JDQ0lISListkIIIYQQQgghhBBCCHG1++WXX8jPz+f222+nefPm1dpn0aJFREZGsn37drZt28ZNN91Ehw4dePvttwFQVZVVq1YxdepU+vbtS1RUFAMHDuTtt9+uNNdDQkICkZGRbNiwga1bt3LvvffSuXNnunXrxr333su+ffsu2v9Ro0YRHR1N//79+fDDD6tsV1JSwrp16xgwYAAajYYBAwaQkJBAbm5utWIGGDx4MJGRkVit1grrc3JyePbZZ+nXrx+RkZGVvl544QXAUZEnMjKS2bNnU1BQwH/+8x/i4uLo2LEjN998M7t3767yvEeOHOGRRx6hR48edOrUiXHjxrFkyZIq+3fPPfdQVlbGSy+9RGxsLB07dqSkpKTaMVZXgyqdVB3Hjh0jNDS0ytpurVq1YuPGjZjNZgwGwyW1ra7qTnJiKS0kPH8NRmsWms2/YWsAw4hUjxDsrUeA0f+S9z037qYy0UtTi6mpxQNNL6Yrjae+a1pWt8/p+w6ycv0xSrx8+HX3+is7qaKg1+jwCw1Co6/6T5a3q45hHYNxM2iv7Fzn0dR+D6HpxdTU4oGmF9OVxFPf1z6ofp9PbNnJiu2nKPX0Ouf6pzj+U1VaFpdw2wPX1V5Ha1hT+z2EphdTU4sHml5MV8v1L+nPXSzbm4bZzZ1f96wHHJ9/NYoGXz9fmof6cm2HIFx0jeNZx6b2ewhNL6amFg80vZga+/Xvavfnn38CMGTIkEved+3atXz11Vf079+fAQMGMHToUADeeOMNvvjiC6Kjoxk1ahRarZbly5fz0UcfUVxczDPPPFPpWG+++SaHDx9m0KBB3HPPPRw9epQVK1awfft2vv32Wzp27Fhpn//7v/9j9+7djBgxgri4OH788UfeeecdIiIiuP766yv1taSkhGuuuQaA+Ph4Fi9ezIoVK7jlllsuOfazCgsLue2220hJSWHYsGG0aNGCNWvWcOjQIXr16kWvXr3o3LlzhX22bdvGggULCAwMZPz48Rw8eJDVq1czefJkVq5cidFodLbdvHkzDz74IBqNhpEjR+Lt7c3atWt59NFHefnll7n55psrHDsnJ4fp06ezZ88ebr75Znx8fCocr6Y0ukRDTk5Olb9EAN7e3qiqSl5eHkFBQZfUtroSExOr1c6n9CitSg44FhrI3wel4Bic2kKRoRl2RUeOa3vyXNvCJSZBqvv/oDFpajE1tXig6cV0OfH06NGjFnpSfdXt84EluyiJiaux81qA9GIrYK1y++l8SEwvxN/FDkCgi522nrYaO/+5mtrvITS9mJpaPND0YrrUeOr72gfV7/OOdQco7RRb5TYVOAa88n0CbhYbbs0vPMGch04lysuKvoHck2tqv4fQ9GJqavFA04upKV//Nm05gjmyc6X1diAbyE4tYG9qAX6KGcWgw6CotPOy4aVXa7bDtaCp/R5C04upqcUDTS+mxnj9s+/fjX3NEigrq++uVJ+LC5r44Wiiu1zxoY4dOwZQZcmki/nkk0944YUX+Mc//lFh/a233srAgQPp06ePc92kSZO47rrrmD9/Po8//nilm9+FhYXMnz+fmJgY57offviBGTNm8Oabb/LVV19VOn9ubi6//vor/v6OB627d+/OY489xi+//FIp0bB06VL0ej0DBgwAoH///uj1epYsWXJFiYavv/6aY8eO8X//93/ceeedADzyyCPceeedHD58mM8//7xSQm3jxo1MmzaNhx9+2DnvxaRJk1i/fj0bN250JmwKCgp47LHHcHV15fvvv6dly5YAPProo9x111289dZbjB49usLxDx48iM1m45dffsHb2/uy47qYRpdosFgszvkW/k6n0znbXGrbmlaoD6FYF4CbNatWjn+5NNjwNKcC4F2WgqnkACc9B1Cqr95s6kIIcTEtwj05mp+D4l2315XsMo3z+7EiLd56e6U2Bg2097JirJ3BD0KIq1wbPy2ppjwUT5/ztlG8fCkBSi7ymTW7zJFsaOVRO4lTIYSoSW3dVTYXFqDx8LpguxzVAGeuf6dLtQS72ghwsdPKo/L7NiGEqE/2TashK6O+u3FpTGDftKZGEg3FxcUAlW78P/vss8yfP7/Cujlz5hAXV/6wYWxsbKUkA0BERAQREREV1vn5+dGzZ09Wr17NkSNHKiQUAEaOHFlp3bhx43jvvffYvHkzBQUFeHlV/NvzyiuvOJMMgDOxcTZ5clZpaSlr1qyhV69ezsmcPTw86NWrFwkJCeTl5eHj41MpjurYsWMHADfddJNznV6vZ9SoUbz44oskJiZWGtHQpUsXpk6dWmFd3759Wb9+PcnJyc51ixYtIicnhyeeeMKZZDh7/PHjx/Pkk0+yZ88eevbs6dymqir/93//V6tJBmiEiQaDwXDe5MDZWlguLi6X3La6oqKizpu8OJfFYiEx0e2S9qlV1hI0R39DObkexW52rvY0pxKV8z1qQAxoz99Hu12loKAAUPAMaY/GtxWqZwswNN5Z1R0/I0dWvUH8jK5QU4sHml5MjT2eal//oqLwSEwEyi4vTrsd7TePYw8s4+3vXDnqVT6SoWuLKO7758PO5f2nCvh9XzpWe8Wn4UptCqW2qrMJeTYXJvQJx8u1ev1q7D+3qjS1mJpaPND0Ymrs8VzK9S96y+cEFZfXUVVPubD3YDA/9rwOjZvnJZ23UOtJp05hziea6lpj/7lVpanF1NTigaYXU2OPp7p9tuec5tpNC1HCi1GCHZ83f1vkyh+KDZ++N+ISEF7lfumlWtJLtaSa9TT3cQWglb8bncNq90bIxTT2n1tVmlpMTS0eaHoxNfZ4NP3isa9uhCMa+l5TI4dyc3Pc0ywsLMTPr/whwvj4eAIDAwHH3LhbtmyptG/37t0veOykpCTWrVvH7t27SUpKciYACgsLq9U3jUZDp06dWLVqFceOHat0w/7sw+VnnU0ilJaWVli/fv16iouL6dKlCydPnnSu79y5Mxs3bmTVqlWMHTu2Wn36u7OjCWy2ig8Nnb0fXdX7e6228j2Mqvp+NomRlJTErFmzKrQ/fvw4AKdOnap0rLoYKdToEg1+fn7k5ORUuS07OxutVuvMNl1K2+rS6/XVqhVnLjGzdVUS+XoDqzedPluisl7548XNt76Kh58Rsv5C3f8dlGShqHaUzKonFjlLAzgvK8mH4GwizegP3i3BvRmK0d+xbPQHox+KzrUWo6lZ1f25NhZNLR5oejE1xngup8+XG6d6x39h7nSeuLOUdz5w52C4483druOJbNiwgfj4eBRFoVtEAF1a+GOzq+SVmPliQzKllgs//Wsqs/LBmmTCfd0I8HTBRaehZ4Qf/h4XTzw3xp/bxTS1mJpaPND0YmqM8VxKn1O9+uFbegi93TG5mtK8jE4ZeUQd+IHkTC3vUlyhvY+vD4899hh+vo53WhabnXdXHMJss5OSU8KchJOM6Nyc5j41X0P1UjTGn9vFNLWYmlo80PRiaozxVPvzb6u2WLduQHfCDewKSkgZI8aWcl0Z2CwL+WC+G0e9HO/RPNr3wrNNxZsdeSUW8kocDwkeOG1ia0oeob5ueBv1xLX2x1Vff8NRG+PP7WKaWkxNLR5oejE1xng00V1qZGRAYxUeHs6hQ4dISkqqlGiIj48HYNasWVUmGs4nLS2NZ555hg0bNtCsWTNiY2MZMWIEa9asYfv27ahq9cvpnR1pYTabL9Ky6pv6gHPi5NmzZzN79uxK25cuXXrZiYahQ4eyatUqvvnmGyZPngw4kgWLFi3C3d2ddu3aVes4VfU9Ly8PcIxsOJ9L+X9ZkxpdoqFt27Zs3ryZ0tJSXF0r3shOTk4mPDzcmbm6lLY1bc2izaRHdqiVY1+uIuCtFQfwzcxGAfT0w8VajEtZDkZKcdOYcdOW4WEw4+lShpdbGd4epbgYLjCMtSTb8YWj9vC5VL07GP0ciQdXX1Cq9+ZQ8QyFsL4omkb36ymEqCGKqxHajETN/ZGp8RamHSnfNn/+fFavXs20adMICgpCo1HQaBQCPV3557AoSs6TaPjzaBYbj5SXszuRW8yJXMcNv81J2cS1dgytDPBwoUu4D3ptAymMLoRodA7630ynzLnOZSW4DF2qkXbN7MQcMLDHpzzZkJudxbMznuHVV1/Fz88PvU7DmO5hfL/1zNNIeSV8uu4o9/VvTZifW53HIoQQ1dKiNQeGjsVYkEvbjctRTruCRkUbYEYfVsr024sw5fgyb6mOHYmbKDyyFY3eSEC/W9C6VL62ZZjKyDA5HjTJKzZzY7ewuo5ICCGuanFxcaxcuZLVq1dXKMFzuWw2G/fffz8nT55k1qxZXHvttc6b6ElJSWzfvv2SjpeZmQlw2aWNzGYzq1evpnXr1kyfPr3S9rfeeouNGzdiMpnw9Ly0UcngKJm0dOlS3nnnHQ4cOEDLli1ZsWIFycnJPPPMM5XuU1+Ks+WPvvnmmxr52dSkRncnNy4ujg0bNrBx48YKM58nJiaSnp7O+PHjL6ttTWvpCVstZWj0l1aaqbZp3L3Id79w3cy/U81WVIsZxWJBsZhRrBa0Fgs6iwW9tQyDzYwRM556Cz6upfh6l+HpbsZVNWMwl+CSn4yBgxgwo8N20bmnVYCkZRDeD1y8wOAFLp6O7wZPlAuUeBJCNB2agddie201mpYFxC9wZ3XXIue2jIwMPv30U5555pmK+2gU3F2q/tM2NLoZXcN92X8qn/2n8sk0VRwCm5CU7Xy97lAG10QG0a2Fbw1GJIS4Wli0nthbDkWTsgIAJaQMNV8PhToejNZwclNnXm+xB/s5+cynn36a2bNno9Vq6RDixeAOwaz6K925/fMNSTw4qA3NvOt3ZIMQQpyPqtVS7BuA+s8X0JWVQH4etsXvOrd7+uVyXzsf4myd+DB9HzarhfQVX6A3ePDia6+gojJ/y3FnguGsXSfy8Dyn5KWrXkuXcJ/zvucTQghx5UaPHs0777zDvHnzuOuuu2jWrNkVHe/gwYMcOnSIO++8k+uuu+6KjpWXl8fu3bvx8fGhVatWl3WMDRs2UFRUxIgRI5yTLJ9r//79zJ49m5UrVzJmzJhLPn5RURHZ2dn07NmT/fv3s3LlStq0acPrr79+Wcc7V+fOnVm2bBmrVq2SRMOVGjNmDO+//z4ffvghAwYMwGAwYLfbee+99wDHDOaX07amRfaNYtqHH3CirGF8GCxUDaxp0xV780t/EkTR6lC0OjiTbFMB65mv0gvsR1UDIex2tDYLGqsFrdWMxnr2tQWN1YzWaj3z3Ux4wm76tU7Gw81a4RCqztWZdHAkIBxJCMUtwFHGyTNURkMI0QQoOj3af7+G7cV/MjpEodf8QN66OZOzUy8cP378kp8uCPB0YVBkEIMig8grNvPr7lMczaxcB9JUauWX3ac4mGbihk5BNRWSEOIqYg/q5kw0ACjNSlGPOGqshsbn8fKMZswelc2JoPL5xBYvXsy4ceMAGNAuEKvNzrpDmc7tX2xI5p/Do2TElRCiYdPpUNz8UX38wCcS2FG+zWCjk+0ED8eN5YOERYCKxWyiIOEALQd35aFr2pJdZMZmV/loTfmQ1vWHMyuc4mRuMf+IbVE38QghxFXI19eXf/7znzz//PPcf//9fPDBB7RoUfG6m5aWVu3jnZ2bwDH/a7m9e/eyefPm8+63b98+CgsLnXMV2O12Xn75ZcrKypg0aVKV8xpUx9mySec+mH6uIUOGMHv2bJYuXepMDJwdgVGdskQLFixg3759bN26tdJk1Vdq3LhxfPzxx8yZM4e+ffvSv39/5za73U5ubm6FybDrUoO5G3vy5El+/PFHwPE/BRy/fGcntQgNDWXs2LEEBQXx+OOP8+qrrzJu3Dji4+PZtm0b27dv5+677yY6Otp5zEtpW+MCgjh5w2hciwpo06ZNrU56Y1+zBPXooYu263V6GUeSvMhXDdhQKFH0FGv0lGh0lGoNmHV6yvR6LHoDFoMem16PzWDArtej6g2g16PoDSiaK6iPqdFg07hg07tQ9TTd5U4DCVYL+uOphOadxJtiPHUl+BiK8XMrIcAnFw+38qM4/5lrdKieYeDd0lGGSe8BejfQu5/zvWEkgIQQF6ZotGifeR3D3EcIcVV58etmvD86i1MBjjcpR3dvpGv/4Zd1bB83A3f2iSDTVEqZ1fF3x2K1k5CczcE0EwCH0k246BRa1kw4QoiriU9rlNhHUbc6nuZVAjxRjzjerShlOfjsuZ9HblzCaz0Oke3tKPm2bNkyRo4ciYuLY0RsfFQwId5G5p8po2Sx2fk2IYU74lqik2SDEKKBUxQF7d2TUde9BIUpAGg6m7Dv8KbzvcMgoby29FdffsV/Br+DoigEnJk3q1OoN/tS86s89l+nC0jPLyXYu/HMCyiEEI3N7bffTn5+Pu+99x4jRoxgwIABtG3blpKSEjZv3syhQ4fw8/OjefPmFz1WdHQ0LVu25Oeff6a0tJTWrVtz6NAhNm3aRIcOHTh9+nSV+23ZsoWhQ4cyZMgQfHx82LBhA4mJiXTv3p2HHnrosuIym82sWrWK5s2bExUVVWWbjh07EhQUxIYNG5yJjuDgYMAxN0Lnzp3Puy9AWJjjQe+HHnqI2NhYZ+l+vV5PaGgoAwYMuOyyT35+frz11ltMmzaNSZMmMXDgQDp06EBBQQEbNmwgMDCQb7/99rKOfaUaTKIhNTWV999/v8I6k8nkXNerVy/nBBwTJ07E09OTzz77jM8++4ygoCCmT5/OpEmTKh33UtrWNJvBQLEhAEJboNTipDeaOx6AtFTUkuILtwMud9YIq9VKcnIylJURhI7CE2mY0nMwldgoRE+eXUeBRo9Jq6XIoKPEVU+Zqw5Vr0fR6dHoDCg6PYr23Ndnvl+glpKi02MNjSAlNKLK7arZilpWilJWirasDJ25FIO5FFdrKW62EtyU/bjqbBj1VoyuNoyuNtzdrbgYbGh1WvxRQNGRl7AJrd6IVu+C1mBEp3dFa3BDq9Ojqe+JvF28IaDjlSV4hGjEFJ0exbM3up7b0f2u0ird4Ew0nN7042UnGs4K9Kz4AbVVoAcH0wqYt8VxY+9IRiFhgaCt72uBEKLxCehY/tqaC4o3qGeehNqXgOfBR3g86FWeGXfc2Wzu13OY9MD9zuWoEC/G9Qhn4fYTABzLKmLDkSyuiZTRVkKIhk9RNBDaA/VgSvm68BLsyYd5+uYHeXXBxwCcciuhLK8QFx8PZ7ux3cOIa+WP2VY+VH7VX+mk5pUA8NHaIwzr1IzYCD+0Gkm+CiFEbZg8eTIDBw7k66+/ZsuWLaxevRoXFxciIiKYNm0ad955Z7VumOt0Oj7//HNeeOEF1q5dy8aNG+nXrx8LFiwgMTGRnTt3VrnffffdR2BgIN988w3JycmEhITw8MMP8+CDD172BON//vknJpOJMWPGnPeepKIoDBkyhO+++441a9YwcuRIhg8fzsKFC9m1axcJCQkXTDTEx8cTExPD0aNH2bNnDxZLxcet3d3d+fLLL+nS5fImHL/mmmtYtGgRH330EX/++Sfr1q3Dz8+PAQMGcM8991zWMWtChURDeno6f/75J3v27CElJYXMzEzKyspQFAV3d3eCg4Np27Yt3bt3Jy4uzjnDd02Ii4vj4MGD1W4/btw459DymmzbGCmKAiFh1Oo9MLOZQpPjDV2rmBh8z/xjVgsLUNNOQUkxmMvAbIayUlRzGfaSEgrTTWSfzCcvtwjVagO7FWw2sFrBZkdFxabVYdXrsen0WM98lRhcORrYHFN4CzRG9/PHrtWhuHmAmwd2wHzmq3IhlCqcW5Ep9wLtVDsaux1FtaNRbWdeV/yuUW0odjsa1Y5it6FR7WjsNsc+Z5aVqtZV+u44VjuvDKLCMnGOAPMKh453oPhVb1Z6IZoazdg7UV/cg9ujJqJ/MLARR2J18VEYXpqL4lqzcylENvOimZcraQWllFjsJGTp6eF3sXFYQghRkaLRcu7Aas2wztiX7HUs6HQoGg2ezw6hzw/z+TPacV3bun0bd1smVhgNG9XMExedxjn66mBaAc19jLQOcJeRDUKIhq/NDVBwHE5vcyy727Cv+I0W9z0CC8qbrZ45j+EvlD8QqCgKYX4VJ4rOMJU6Ew0AS/elkZRZxK2xLdDW+xNiQgjRNHXs2JE33njjou3Gjh3rfEi8KuHh4Xz66aeV1rdr145Ro0ZVuY9Wq+WOO+7gjjvuuOj5586dW+V6nU5X4Z7zoEGDqnUP+rnnnuO5555zLnt6ejJv3rxK7VatWlVp3YsvvkhBQQErV650ln0CKCws5Oeff+b555/nyy+/5J133iEsLOy8/bnlllu45ZZbqtzWrl07/vvf/140jqr6V1t0NpuN3377je+//57t27ejqio+Pj5ERETQokULjEYjdrudoqIiTp06xaZNm/jkk08wGo0MGTKECRMm0Llz5zrrsGhYFA8vlLZV1xrTAr5nvqqiqipYzI4ERVnZmURFGerZ16UlWE0F7Nx7hORCO8UoFGt0lOn1mA16rC4u2FxdUV1cUQyuKJdZl+3iQWqwn/kQb6udM1SyF1BN+ficTqGDcpJWrYtw3fQ1uqBo9G2uQ2/0QqfRoNMq6LUKmovNsC1EI6dotGgGX4991R+E+VX8fc/f9yvePe5wPDFXg0Z3C+WLDUlYbSo5Zg3L01zobLVTiwPUhBBNUcQQOLbS8br4sHO1enA/AIapvRjz/R7+ZLtzW3Z6Js3Cyoeg67Qapg5uz3+XJQKQll/KdwkpdAjxkhrlQogGT1EU6PYg6plEg+JmQz1wAkWB3koLNquOUV2L07cynAtXHohr5Y+qwrL95XXBD6ebWHswg8EdgmsvCCGEEKKaCgoK+P7777nnnnsqJBkAPDw8uPHGG3n++ecpKiqqpx7WHt2wYcM4ffo0gwYN4uWXX6Z3794XrK1lt9s5ePAg69ev548//uDWW2+lb9++/POf/7zgkBEh/k5RFDC4OL7O+Xd37i1EAxAXD3HnOYaq2qG0FFtRIYVpOWQdzyI3s4A8UzGmMjtFNpUyixWz3UaZqmJRwKxRsGoVrDoFq06DXadF0WhAcXw/9zUaLYpG67iBqTnbTuNYd3a7oq2VJIfi6U2+Z2c205nN4JhcOw1ISzvzouL/M51WAbsBrQIbcpMxaDXotBp0GuVMQuLs64rfK6zXKujPJDDObjfqtRgNWtwMWvRazQVLXQlRm5TOPWDVH/hGVpxp/qvF63jETY8SPb5GzxfibWRCn1bM/TMZi83xTPI7q45yX//WhPjIPC9CiOpRWg9DPZtocA8CzpRJOvPeQdFo8F5+D1Fj95HYogyAk7sOVUg0AHi46gj1MVZ4kvdQugmrzS6jGoQQDZ6iaCqM8MLPDNmZjL7nVjZ/8SbgmHPv8OHDtGt3/lHciqLQp00ALf3d2X0ily3JOQD8eTSL3m38cTM0mOrQQgghrmKqqrJ582aKi4txcysfnWez2XjrrbeA809E3ZjphgwZwr333uuc0OJiNBoNHTp0oEOHDjzwwAPs2rWL2bNnM3v2bN57771a7q4QFSmKBoxu6Ixu+AQE4dOp+vuazWb27tmDWlxChJsfZRk5FKflUJydR9HxExRlZGGtxkzy4HhTrCoKqkaLqtWgKhpUrQa7Rouq0aBqtNg1Gsdr7dl1mjPrzl3WYtYbSG/eHFtQiCOZUc3zO26EKlhUKC2unRIv2jOJBzfD2eSDzpmEMOp1FdZ7uurwctWjkSHMooYo3r5oH3gM9b23uelnL37sXwDAX5ka8v9ajk/kOBSt/iJHuTThfm5c0z6A5X9lAmCzq8z58xh3942gmbckG4QQ1aA/52kKu7n8dUkx9n070XTqhmLUE+4ZSCInAVj1w2/0HHlNpUON79WSxLQCfttzCnBck1YnZnBtx2a1GYEQQtSMwE6QuQ8AJaIY2wdv4Pf/Xq7Q5K233uLjjz++6KGa+xhp7mPEbLOz63geVrvKgVMFhJyZHNrHzYC7iyQdhBBC1D0vLy/Gjh3LwoULue666xg0aBCBgYGYTCbWrl3LiRMnGD169HlLIjVmuqeffvqKDtC1a1c++eQTSkpKLt5YiIZGUVDc3fCKaVdhEhlVtTtKGmSk11vXsnOPs/6gieQyK1kuNqx6rWNOCo3OMYLizHfHss4xyuLMds5dX4MjEGx2lcIyK4Vl1os3BhQFvFz1eBvPfLnp8TYa8HFzLPu6GeQpTHFJlJAwNEOHEPdGgjPRALA/Q6FfwXHwbVPj5+zewoeM06c4ZNJRYlMotdj4fH0SncK86dXKnxBJOAghLuTcBKjNDMHNId2RKFAP7odO3QC4Jq4fyw/NB+CoawF2ux3N3x448HDV0TPCj3BfNz5eewQV2HQ0i8MZJmJCvWkT5Im/uwEXfS2VkxRCiCugdLkXdcXjjoVSx3XKfjKRKT/7M3t0NgAGs8KpU45rpLe3N+7u55+vD6CZlxHIA3AmYQH0WoXxvVrSOtCj6h2FEEKIWvTiiy8SExPD4sWL+f333ykpKcHX15cuXbrw9NNPN8nRDPC3yaCrYrFYSE5OpqCgAC8vL1q3bo1OV3m3mpwYWoj6pigalKgYiIqptz4EAmen0LGUlHL0myUc2Lyb/GITJnsphYpKkdZOoV6l1HCBkReK5m8JiXMTEZUTFTgTFloUrR6N3gWN3hWdzojO4JgPA4MrVHEd+DtVhfwSC/klVY+wUABvNz3+7i74exjw93DB392FQE8XvIw1+2S6aDo0/QfjMmg9YzZ6sbifI9mw6biGvhl7UGoh0aBRFMLd7YQYzewt8SY1rxSrXWXX8Tx2Hc+jdaA7g9oH0cL/wh+EhRBXJ0XRoGoMjtEMeUlob3oJ20eO4dLqvp0w7k4A/B8eAI/Od+535NcE2o/uU+Uxg71dua5TM5buc5RSzDSVsSoxg1WJGWg1CkM6BNO7tb+UOxRCNCiKi3d5+STNmVeHDhD99b2w0FE+yWxQef755537PProo0RHR5/3mM3PU87SYlOZv+U4U+Lb4u0mE2wJIURjExcXV60JmxsqrVbLbbfdxm233VbfXalT571TaLfbeffdd/nmm28oKipCVVUURcHNzY0777yTRx55BG1tTb4rhKhAb3QlatIYoiaNAc7MTZGagJr9F5RkY87OoiA1D1MOmAo0mAoVTCUKBWUKxVYotqsUKxZKFDPFWpUSvUqZvnploc5H0ehQDK5oDK5o9EbHd4MrLoorrb1D8OrekYIyK/klForNVU+jrQJ5xRbyii0czay4rX2wJ4Mj/a+oj6JpUlxccXnuemJuWO5MNBzNUVDzj9fqeXUauLVnKJuS8th5PJcyq2OuiKTMIpIyk2kf7MnwTiH4usuHWSHE35xTMklN/anCJrWkGMXohuKqJ6jYhQw3xzwNhxP2njfRANC7dQDuBh1bkrM5mVs+sthmV1m2P43kzEJGdgmVxL0QomFx9YPSHBRXu6P87J7t6J69jR6vGtnevnKVhHffffeCpZTC/dwY2z2Mk7nFgOPzxYHUfIrMNkdZpRN5DIoMqqVghBBCCHGu8yYaZs6cyU8//cSTTz5Jly5dcHV1JTMzkz/++INPPvkEs9nMk08+WZd9FUKcoSgaCOuDEua4AeEKaMpKOb17Cy62QjqG+qKz5KOWZIPZBJbiM19Fju/WYqxmO8X5GooLNBSZFIqLFIqKFYpLFYrLoNjqSFIU2lUKFRWTVqXIUJ6gUO1W1NJC7KWFFfpWDGwHQtf9wfjrr6f93SMwW+0UlFjILzGTd2aEQ16RmewiM9mFZc4btuc6lG7iULoJD50eb71KybFcwv09aObtiotOkpxXO+3AgbiXrKywbt6qv7g91u7491FLXHRahnUKIT4qiN0n8th0NIu8M3OiHEo3kZRZyMguzekS7ltrfRBCNEJe4VBwwvH69FYIagUZuY7l/FwwOiaIu7H3UD7d8xsAK1N3MeIih40J8yEmzIe8YjP7T+VzNKOQ5KwiAA5nFDJ79WHuH9gGfw+X2ohKCCEuncXx2aHCVHg5WYwKj8Vz93YKXe1YdCq725Q6N//16yY6jOx73kOevRae1bdNAO+uOATAtmM59GsbIOVahRBCiDpw3kTD4sWLefXVVxkwYIBzXYsWLejRowf5+fksWrRIEg1CNCSKBqvWHavWHbVZDIrBwPkKJqiqit5airelCO+/JyEsRajO5SIwFzqSFeYCMBdSVqRiytFQkKNUGD1hMiukm1UOeDvmb0j1tvDfTT/js+JXAs0GAnVGgn19CY4IpUO3SAL6xqA3uqKqKkVlNrKLysguLCO70Mze1DxMpY7jFFo1FFohNTETyEQBwnzdaNfMk8hgTwI9XaQ0xFXK+PpQ2q75niOhjieFd52yc9v656D/s44SYbXIoNMS28qf7i392Hsyj1WJ6ZhKrVjtKot3ppKcWcSY7mG12gchROOh9JiKurr8fbOmDdgzHK9tH89Ec+cDaNpE0nZ4LJxJNBS5VD0asCo+bgb6tQ2kX9tADqeb+GnnSYrMNsqsdt5fdZiB7QOJjwqu0ZiEEOKyaAxgM6MooCoqqAoUFRL84gjGvOWDmlmMWmzhi+QE9rVyJBve+eVrZg/rhVZfvfd3Pm4GOoR48dfpAgrLrKxOzGBodLB8ZhBCCCFqmW7Hjh1079690gaLxVJhctxzubq6Yjabq9wmhGj4FEUBvdHxVdX28+ynqnZcLcW4lhUQeDb5UGZCNZugrACK0khcksT3hxROezpukOS52clzK+UwpWDJhcNJcHg92u/Av1hHoM1AkKs7QYEBhLRvQY+4TvQf1IbNyTkcSisgvaAU9ZweqcCJ3GJO5Baz6q90XPVafJwTTTsmm/Z20zvWGQ24u2jlQ0UTZZjYnTufXc5zdzkmbS8oU0g+nkrr1M0Q3r9O+qDVKHRt4UuH5l4s3ZfGzuOOJ5R3n8zDoNfQv22glC0RQqC4BUD07agHvnWssCQDPs7t9v99guY//8WnTUiF/axlZnQul1aOrV2wJ5MGtmHWykPYzzwxvO5QJlmmMoZ1CpFrkhCifnk0g9wjjtc+Fsg1oBYVounQCuOs8nFct38awb+3fe1cnjL1Yf514320uaFXtU4zoH0gf50+M5fX0Syyi8q4pWcLtBr5XCCEEELUFt0DDzxAbGwsTzzxBG3alE+iOXToUJ599lmeffZZunbtitFoJDMzk99++40ff/yRUaNG1WO3hRD1QVE0YPBwfJ27/pzXHVrv5d+7vmHtIhNb8yHTxUaxS+X5IGxayPC0koGV/RSDKRO2/wXbl2IsU+jnEsZtL0zm4IljmCwKHkFhZBRaSMkuJquwzHmcUouNNIuNtILSSucA0GkUIpt5cW10sEwE18RoAtxxK9PQ41B5Td831ut41/NLXML61WmCyUWnZVSX5hxON1FY5hiNszU5h63JOcRG+HF9TIgkvIS42rUcBGcTDYDSuyXq5hTnsnr6JEpIGG5lGopdHCUFzfnF6IIu/W+Xj5uBm3u24Put5XPXHDhdwKEME2O7h9MhxOsKAhFCiCtg9HcmGhRfC2quATVxL3SIqdDM//6+9N29jk2WZOe6N376nI+uj63We6oQbyNDOwSz4i/HAykH00ws2XeaEZ2b12AwQgghhDiXbsWKFXz00UeMGzeO66+/nkceeYSQkBBmzJjBjBkzmDRpUqWdrr/+ep599tl66C5ERkZetM3KlSsJC3OUrLj22ms5frzqCUI//fRTBg4cWKP9E+JqpwTFoB/yIkPbLGdIagIUpWPKtJN2XEt6uoaMAg0ZZpUMRSXTaMNaxQjoEheVFZxg879m0NLsQYBvANG9u3HNkB54dAklp6iMw+mFHMkwkVVYRkGJxfnU5t9Z7Sr7T+VzML2Am7qFEd3cu3b/B4g6pbu2BfFbrBUmD5yxQstTnfcQ0KpLnfZFURTuH9iGxTtPOmukA2w9loPZamdIdDCervIksRBXK0WjQ/VuCfmO5IJi3Y3qFgbFjnrltj9+RHfvNNopAezGUVfp+IZ9RI29vBFaHUK8mDEymj/2prH7RC5Wu4rVpvL91uN4uurQKApRIV4MjgrGoJPa5UKIuqGExKKeSnC89rOgJoGan1dl2wmznsT9X7NYXrDfue7nn37mxjE3Vutc/doFEuztyrwtx7HZVbYdy6FXKz8CPV2vOA4hhBBCVKbz8fHhqaeeYsKECcyaNYvrr7+eW2+9lcmTJ/Pf//6Xf/3rX+zfv5+CggI8PT2JiYkhKCio3jo8derUKtcXFRXx5Zdf0rFjR4KDy2vQFhYWEhoayk033VRpn5YtW9ZaP4W4milaPbS5AaXNDaiqHa/SXLyK0mlfmIZalA5F6VCUhs2URe5pDWkntaRnaUgvVMiwqBzxsGLTQqGrnf2uBWArYO3GJNi4EP8SPZFuzencqzs3jxuAi7c7dlWlsNRKXrGZ/LOTTRdbKCgxczKvhBKzDatN5ZfdqUQEuONmqN36/aLuGD8dR1DE29y2yofvBucBYDIrzP7sG559uW4TDQBeRj0T+rYip6iMrck5bE7KBhyllPadyqdPmwDio4LQyOgGIa5KSs9HUFdOdy5rhg3B/uNPjoUTx1BVlQ7tItmd4kg0/LVp52UnGgC0Gg0juzRncIcg3lyS6Fx/dh6khKRskjILubd/a1z12ss+jxBCVFtgx7+tUCHlKLZfF6AZMa7CaAVFUbj5zUc4NfxR9rd0jF7+/Y/fGX3j6GqPFG0b5El8VBArDjhGNizfn8btvSNqIhIhhBBC/I3zblvz5s159dVXmTRpEjNnzmTo0KHcc8893HPPPQwePLg++1jBtGnTqlz/wgsvYDAYePPNN9Hry58YNZlMdOnS5bz7CSFql6JoHEOkjf4QEF2hzJJisxBYnElgUToxRemoRWmQcYTTBzL5cZOOv9ytlUY8ZBstbFJT2JSQgn7jYsLNHvi5eOLn5YNfgD/+4cG0ahNKQHQLXHw8KLXY+HHHSQ6lmyi12Fl7MJPrYyrWwBaNlybcG/fN99Ot96eoGpV51+QDkJNnqtd++bm7MKxTCD5uBlYcSMNqV7HZVTYcziTTVCo1goW4SimuPqhugVCc6Vjh+7eb+yeOERbTDlLWA7DEtI/RNhta7ZUlAdwMOm7uEc6agxmYbY6yTEVlVmx2lUxTGcv2pzG6a+gVnUMIIapD0Ro4dyCy0smE+pcH6vY/sSXuRTvlnyhuFcu03jviH0zfN8e5nJKSQkRERLXPGRvhT0JSNqZSK4czCskuLMPfw+UKIxFCCCHE31V6rLdNmzZ88MEH7Ny5k5kzZ/LNN98wZcoUxo8fj07XMJ8C3rdvH99++y0PP/xwhXkmSkpKsFgs+Pr61mPvhBDno2j14Nnc8UX5XA8hsSeY0v0bLFlHOH1Ey/EULcdzNZywqZx0t2I9c7/FolNJ0plIwgRFp6AISAE2OLa7l2nws7kSFdERfVwfLHaVbcey8XXXExnsha+7zNnQFOhiQ3GddQPdp/3uTDSUWuyUlpbi6lq/Q+PjWvvTsbkXfx7N5s+kLFTVUSN4dWI6Q6Ob1WvfhBD1JCQWjv4OgKJaoUUrOO6oQa7mZuMdFlCh+ZQpU2jbti0Abdu2ZcyYMZc150vHUG86hpaXD0zJLuKrjY7z7jyei6LAyM7NZT4ZIUTtO7eMnKsdWpagJrlDUSHq9s0oA4ZWaO5+byyRt8znYLhjnrbUzX9dUqLBoNMQ19rfOarhr9MF9G8XWDOxCCGEEMKpQkHW0tJS0tLSyM3NpVu3bsydO5fXXnuNBQsWMGzYMH7++ef66ucFvfHGGwQEBFSaT6KgoAAAHx+feuiVEOJyabzD0fR/CmXYO5T0G027Gzow/noN/xpr5vUhNiZ5a4gz6fEquXBN6SIXOyfcilmesZWSfVsBsKuwdF8a7608xOzVh9lzMq8OIhK1zWVKL1xe6UufA24AqArMm/ksqnqeyTvqkIernms7NuOOuJacHcSw6WgWmaaqJzAXQjRtivc5pTvNRWgiOzkX1X07CerWBve//X07cuQIR44cYcmSJaxcubJG+tHS353YVn7O5R0pufy+9zQWq71Gji+EEOejdJ8C2nMe+HErv+7YdyRUbu9u4Bp9+QOFJ/YevuRzRgZ7OV+v/Cudz9Yf5Y+9pyg8U0pOCCGEEFdOB7B48WK+/vprEhPLa7d6eXkxbNgwpk2bxo8//sivv/7Ke++9x6effsoTTzzBoEGD6q3T59q5cycJCQn885//xGg0VthmMjlKZ9RkosFisVxyu+ru05A1tXig6cXU1OIBsNgVig3NKA5qhteAiegLTRhSj9DNew/dSpJRdPmUFkP2aS3ZmRqy8zTkFCnkWlRygDydnXyjHVWBzONbCfIPRhsc7jx+pqmMH3ecRLXZ6BDiWfvxXOHPyGCo3xEYDf36p/y/QbT9ZCV/RhcD8GdKPtevno9v/7FXdNyaiifcx4U+rf3YeDQHVYXZq4/w8DWt8KqHCaKb2vWiqcUDTS+mK4mnvq99UMPXP723c0ix/dQWbD6jnU/+qEcSMZeW8H9ew/nw5HJSgisf44cffqBz58418v52SHt/vAxaVh50lHLadiyHvSfz6BbuzcB2Adht5TfgmsLvIci/rcagqcUk178q6Lwg/h10K6Y4lr3cy7fl5WAuLQVNxYSr57VRsPcAAEUZ+ZjN5mr1y7m/AaJDPDlw2nGPIDW3hNTcEhJPF9CvjR9tAz3wcC2v4NDUfg+h6cXU1OKBphdTY7/+CSEunfLFF1+ob7zxBvHx8QwfPpzAwEDKysrYt28f//vf/3B3d+enn37Cw8MDq9XK/Pnz+fDDD4mIiOB///tfffef6dOns3TpUtavX1+pRNKOHTu47bbb6N+/P6dPn+bYsWN4eXkRFxfHtGnTnMPQL8ZsNrN3797a6L4Q4krYbXgUpOGVl4pbUQbGshy0WjMY7OBiB4NKapKWr7ZqSfW0AdDHqyPGEQNJK9GQZ3F8gNGg0jfQgo+h/p9+v5AePXrU+Tkb2/Uv8OX1vBz4l3O5c5BC7zH312OPKiqwKKzLKH/T7KO30y/QglQqEeL86uPaB7V3/dPYLXTJ+NS5vM//TqKX/upcPh3VhczQSMLu24DuqGN0bomLnRfuzHC2iY6Opn//y58k+lyqCrvzdJwsrjgPRBsPKx28bTVyDiHE5Wlq17+/i8z6ATdrJioK6jYvzhZSPd61D7lhrSq0Vban88m2n1DPvGcaNWoUISGXNu+aqsJBk5akQi12tfKbL2+9nZbuNlq4y8guIepbfV3/REWRkZEVlrVaLb6+vsTExHDTTTcxbNiwCtsXLVrE008/zUMPPcRjjz1W7fNMnTqV5cuXExcXx5w5c87brqSkhM8++4zffvuNEydOoNfradu2LSNHjmT8+PHO0smDBw8mNTX1ouft1asXc+fOrXY/xcXpPvvsM4YOHcqsWbMqbLjmmmuIj49n3Lhx/Prrr845Gu644w7GjBlzwR98XSkuLmbFihX07du3ynkY7HY7iqKQkpLijGfLli0sWbKEdevW8d133xEVFVUPPRdC1AiNlkKfUAp9zkxgqaoYiky452bhnpuJV1oqzXWFTOhk5rVkUDWwI/sAN/2podXA7uwrcedEsRY7Cluz9fQPMmO8svk2RT3Lmt6X/zcmk3fGZgGQmGWnZ0kROqP7RfasG546FX8XO9lljiRXnkXDvnwdnbytkmwQ4iph11QcxRRRsIJibz/c8nMACExKJKNtR058MwjD4QLCJm3Eo9RGnwNuzhFbBw4coHPnznh5eVU6/qVSFOjiY6Wlu43jRVpOFmtQUThaqKWZ0Y5vA0/CCyEaL4vGUZFAQSW/oz9e+x3XQZ/UY5UTDe39aLZMx2l/x0irX375hZtvvhk/Pz+qS1EgystGO08bJVaF3Xk6cs3lIyfyLRr25Gnw1pvxlmufEEIA4O7uzj333AM4EtEpKSmsX7+e1atXM378eJ5//vkrOn5RURHr1q0jMDCQrVu3kpOTU+W1vbS0lDvuuIP9+/fTs2dPrr32WsxmM5s2beLVV19l4cKFLFy4EIPBwIQJE5xVbgC2bNnCli1biI+Pp2PHjs71oaGhV9R3UZnOZDIRHBxc5caz/8PP/eGA45ds8uTJtd65i0lISKC0tJR+/fpVub1nz5789ttvtGzZssJE1q+//jpffPEFM2fO5JNPPrmkc0ZFRaHXX7zMhcVicZaiqu4+DVlTiweaXkxNLR6ogZhUFfW7zwg7eYS4QgubvSyU6VXmHduL8dA+2ts88L1+DLnuPpTZFfYVeXFnXDgG3YXnfrhcjf1n1Fiuf6WBmwnPyOdEkAWzXSF5yzLGTn32so9X0/HEqCqH0gtZtOs0AClFWhRXT27sEoKboW4yXfX9M6ppTS0eaHoxNfZ4avr6Z3e7AU2SY0JoD0satjH3w9c/AKDV64mJiXE07Azq6D6o+zO5sc/nzkQDOEbuTps27UrCqtKmo9msPZwNKJy0eeFL/kXjaUwa++/i3zW1eKDpxdTY46nN93+a/Tvh1HEAfIxJ2D3dwaTHMz+n/Dp4jqwXl7HAv/wJ1QULFlR6YPJS9FZVTheUcSSjkIPphWQVninH5B1CVEuvRv1zq0pj/138u6YWDzS9mJpaPFcrDw+PSu85s7KyuOuuu5g3bx4jR44kNjb2so+/du1aysrKePTRR5kxYwbLli1j/PjxldrNmTOH/fv388ADDzB9+nTnelVV+emnnygqKnKW3Jo4cWKFfWfNmsWWLVsYMmQIt9xyy2X3VVycbsCAASxatIhevXoxdOhQNGdqIaampvLiiy+i0WgYMGBAPXezagkJjomiunXrdt42bdq0qbTukUceYe7cuWzbtu2Sz6nX6y+5Vtzl7NOQNbV4oOnF1NTigcuPSR1/L7b/fcKoomQOn7CRfWYodIlBZTcmNBt/IKjvP9B4eJNuKuO3Nau5OfAIikczlGY9UHxb13QoQOP8GTWW65/m85sYOe5DPhyVDcDaQ5mMr6E+1FQ8MS1cUBUtP+48CcCx7GLmb0vlgUFtUOp4aENj/F28kKYWDzS9mBpjPDV+/eswDvuZRAOAdv+n2Fu2hpQclKJCdFotivZM4tEA9GqB7aZo+hwocCYbDh06VCv/HwdGNmPnyQIKSiyk5pXR0RU0SuP8uV1MU4upqcUDTS+mxhhPbb7/U0PjUE/96VxWWhWj7vFGMZeh02hQznlYEGDg2GEY3lnEt4PznOuOHDlCdHT0JfXvXBGBLkQEehHb2sw7yw8BkJRdTP+2/pccT2PS1GJqavFA04upqcVztQsICGDixIk8++yzrFmz5ooSDUuWLMHf359x48bx9ttvs3Tp0ioTDWfvAY8ePbrCekVRGDNmzGWfX9QszYsvvkinTp145JFH6NatG/Hx8fTu3ZuhQ4eyfft2XnnllQZbXmj//v1A1cmECzEajfj6+lJUVISqypBIIZoyxdWIduLD+I28kafbenGXxYVueXqMZsfNXLullKztv2C3lAGQaA3nuy1e2A4vQd30Mva1b2E/vBs14zSqqQD1nIkxRcOk6xNOiwJX57KiOkrpNTSdw324pWf55ORpBaX8d2kii3ee5GhGYT32TAhRF5TIcRWX/TKdr9Xkw5Xau827mTGbvDBYypORWVlZNd4vjUahhZ8bAFa7SnaZ1HUTQtQOJSgGJe6J8uVzyhWpJ45Vau/ycBx9nr2dZjnlCYh33323Rj7TexsNBHm6AI6JoovN8p5fCCEuJDzc8Vk2Ozv7so9RUlLCunXrGDBggPNB94SEBHJzcyu1PZuo2rdv32WfT9Q+nZ+fn3P4ya5du8jLy8PFxYWIiAj69u2Lm5tbfffxvA4dOoSvry/u7pdWezsnJ4fs7GxCQ0Pr/MlRIUTdU3Q6lH7xeHTpQZ+Vv9N711asNj1/nbazMc/GfnsuuTuX4Bc7CkXRcDS8B6+lBROXt4POISkE5r2HPc0VirVg0QCuYHAHNw8Uoxu4uYHRHYxuKG7uKM3DIbQFiqZ2SjCJizNO7knbvzI5EmrGhqMEoLe3d313q5IOIV4EebqQYXIkuorMNnafyGP3iTw6h3kzvFNzjHVUTkkIUbeUtjeAZ3PUbY6yH4rWhIo3oGD/8Vs0/3yhYnudFm0bP0JyskkJtgAw5/OvePzJJ/5+6CvWNsiDfamOkknbc/TE+FipXMRECCGunBLQgbNpAlVVABVQsK/8DWXcnSi+/hXaG+7qwr0zW/NKr0POdZs2bTpvOeVL0S7Y0/me7Ghm8UVaCyHE1S0vLw9wlFa6XGvXrqWkpIRrrrkGgPj4eBYvXsyKFSsqlTgaNmwYq1at4j//+Q+ZmZnccccdl3w/WNQ+56MAHTt2rDAhRkNXVlZGXl7eeUczZGVlMWXKFKZPn05cXJxzvdVq5eWXX8ZmszFq1Ki66q4QogFQPLzQ3jgetf8QNKdO0CU/l855ueQeOc2mLSfYotuIvrujVJy9WRh/NgvjT8BeVICrNQv/skyak02IMZ9wvzR83MrQWjVQokCBBtWiQbUoUKIF1QOlTQeU9h1RojujaORmcV1yeWog/jct50ioo9ZubmZqg0w0KIrCvf1bs/9UPofTTRzNLMJic4y+2HMyn+SsIm7sGkqbIM967qkQojYowV2p8ByuvwWyDVBchG3FbyhBzVBatELxcUyI575sAmN6vcW7NzlGMpw8fKxW+hUT6sPmpGzS8kuxqgo7c/WEnyqgW0RArZxPCHGVC+4O6TtQFBU1wAxZBkg9ju2j/6J9/FkUF9cKzcO+voOoJ18hsYUjKbBwwYIaSTS09Hdn4xHH9XVFYga9fRU89FIBQYirlXp6K+rBn8BWWt9dqT6tK0rkGJSQnrV+qiVLlgDQtWvXyz7G0qVL0ev1zpL9/fv3R6/Xs2TJkkqJhjFjxrB//37mzJnDf//7Xz7//HPGjRvHbbfd5hxdIeqfbvXq1cTHx1/2AUpLS/nmm28oLi6ulQnpzudimbOSkhKKioqYMGECcXFxdO7cGZvNxurVq0lOTqZbt24NYkJrIUTdU/wDUfwDncsBwGjgBouVP75awTYPLzTuXs7tGncvzO5enKY1p885jt1iRjGb0BcWYiwpxNNswk8tIMb3FG3C0qA0A3X7BtRT0Wj63Qp63zqL8Wqn8ffAx1w+ouTzj97nmf+8gKtnw7tJ5qLX0r2lH91b+mG12dmXms+Sfacps9oxlVr53+YUbo1tQVSI18UPJoRofHxaQ14SAEpYCWq2HlBQN65yJiE0N92OEtUJTYQv7T64HVa8B0CR1kJZWRkuLi412iWNRuGuPhHM3ZRMWoHjRt7Pe9JYezibcD83wnzdiArxxNsotZaFEFdOCeiAmr4DAE1ECfYyDZj0YC6DzHQIa1mhvSYmmDtW+fB/E9MBKC4qJj8//4ofKgnxNqLTKlhtKqUWO2syDPgb7GhPF9C5hT8aqYYgxFVFPboUik5fvGEDoyYtqbVEg9lsJjk5mf/9738sXbqUtm3bct11113WsUpLS1mzZg29evVy3tv18PCgV69eJCQkkJeXh4+PT4V9nnnmGQYPHsyHH35IQkICn3/+OV999RVjx47lySefxNNTHtCrb5qpU6cyatQo5syZw6lTp6q94549e3j99de55ppr+OSTT2jWrFktdrMys9nxlOr5JpMJDw9n4cKFPP300xQWFjJ37ly+/vprNBoN06dPZ86cObi6ula5rxDi6qTT6xh1/3D+OSyGTumn8D6WjJKZjmo1V9leozegePtjDW2JqW1HTkX3Zl/H6/iu+URezL2b2ckD2ZzdDMWyG3Xts1CcUccRXd0iXMtL/2WYbMx6dQaqtaQee3RxOq2Gri18mRLfjjaB5Yn0RTtOcjq/YfddCHF5lN7n1CfXqxBY+W+O/cdvsX32LgD6WzrSNrX8/e+8b76rlX65GXTc3L05yjljLvJLLM5k6OzVRygqkxrmQogaENylwqISXJ48tW/bVKm5oih4PtibngeNAKgKbF258Yq74eGq4+6+rfB1K7/GZps1/LQ7jS83JLH/VD4lZtsVn0cI0TgobYaDewi4+jaeL/cQlNbDa/T/Q3p6OpGRkURGRhITE8Po0aP5/vvviYuL44svvrjsSb7Xr19PcXExXbp04eTJk86vzp07Y7FYWLVqVZX79enThzlz5vDTTz9x0003AfDDDz9w++23U1Iin5nrm+7333/n888/5+233+bVV18lNDSUjh07EhERQWBgIG5ubthsNgoLC0lPT+fIkSPs3buXgoICQkJCuPfee7n99tuvqCbX5QgPD+fgwYMXbOPq6srEiROZOHFi3XRKCNEkePh5Mu7+8qy8xWzh4J8HSTyYSlaZmUJFocTFBZub0TFPg1ZX6RiKtx853n6soBtrjh/jZmUtrdvsBJrXYSRXt6jAVriXZFFkdJQiOpKtkntwK34dB9Zzzy7Oy6jnjt4tWbTjJPtS87HY7Hyy9iihPkZaB3rQOtCDcD8jWpkHRIhGT9G6oLoHQ5HjyVxNp+ZgHISadgp1x+byhpnp2I8eRNMmkmG04wj7AdiU8CedusTQo0ePGu+bp6ueAUEWThVrMBs8OZ1fisXmSDyYrXbm/nmMf/QMx8+jZkdUCCGuLorRH7rej7rrU8dyQAnqEcd1Rd29DXvXWDQRbSvs4/rmdVwz+CDbSARg69pNDB17wxX3JczXjYeuacPmo5kkHMmg2OZ4r3Uyt4QF205g1GuZNqQdRkPl9/9CiKZFCelZJyWIGjp3d3fuueceADQaDf7+/nTv3p327dtf0XHPll6aPXs2s2fPrrR96dKljB079rz7R0VF8dprr3HPPfcwefJkDh06xI8//sjtt99+Rf0SV0bXsmVLXnjhBZ566ilWr17Nhg0b2LNnD6tWrcJisVRo7O7uTrt27Rg7dizx8fHExsbKZMpCiCZPb9DTaVAnOg3qVGmb1WIhPSmDE4dPkZ6RR1pRKenubtj9g5zXR2toBN+WBXPP7jXQRhINdUXTqz3Tn0vmpdszsJ+5H5+z42t8o/ujKA3/Br2iKIzs0pzU3GJyix1/j1PzSkjNK2H94Uz0Wg0RAe60DnSnVYAHAR4uaDXyN1mIxkjp9Tjq6icdC6ajKHEPo4nth9q5B7avPnC2s//vE5QnnqPDozfg+2UiuZ6OJ2t/+25RrSQaALz0Kl7eNmJiwtHq9OxLzWPxzlQA0gtKmb3mCEM6BBPXWsqKCCGuQHC38tdaF9Dr4cz9CPt3X6B5+pUKzRUXHa3fu5Xg118m3dfKsdJMioqKamRiUINOS+9WfriZUsksU0gscqOg1DGCq8Ric5a19DLqr/hcQgjR0Hl4eNR4qXyz2czq1atp3bo106dPr7T9rbfeYuPGjZhMpouWQ4qMjOTRRx/lX//6F4mJiTXaT3HpnGl4Nzc3RowYwYgRI5wb8/LyKC0tRaPR4O7uLrN5CyHE3+j0ekIjQwmNDK2w/vSR06xevouDvr5o3DzQuBhZtd+bbq3M2DVS07ouGO7sgsdTK7h2hwdLexYCcMqk0PpEAkqLPvXcu+px0Wm5t38bNh3N5GhGIRmmMuc2i83O4XQTh9NNAGgUBX8PA4GeLgR6uBDo6UqQl+O7EKJhU9wCKk4KnZUIoXEoLVujffxZbDNfcG6yvfUcmtsmcf/2cN645hgAqaYscnJy8PPzq9V+ajUKXcJ9cdFp+X3vKUylVmx2lWX70ygqszI0um5LqQohmg5F54Lq6guluVCWh2bCk9g//9ix0VyGqtorPSiihHvRNtVAuq8jCfDkk08ya9asGnsYUlEgyFWlX9eW/L4/g4Npjvdcp/JK+HjtEe4f2AYfN3lfL4QQl2rDhg0UFRUxYsQIhg4dWmn7/v37mT17NitXrmTMmDEAVc7ZcJbR6CilJyXy698FH+n08fGhWbNmBAUFSZJBCCEuQUjbEG6ffD1jy8rnZTjlF4anObUee3V10YR4ou0bTrvU8pIeq5M02FP31GOvLp2Hq47rOoYwOb4dj18XyZhuoXQO88bdpeKQfbuqkmkq48CpAtYeymTB9hPMXn2ERdtPoKrqeY4uhGgwzqmnq2aXP42leHqjdOhcoan63We0/PAGBu0pf3/+9NNPk5+fX/v9BKJCvJg6uB29W/s71+1IyZVrjRDiyjTr7nypGO3gds49CGvlOWE0QR50VIOcyxaLhezs7Brvlqtey62xLRjWqRkuOsctlGKzjcU7T1JmlTkbhBDiUp0tmzRkyJAqt59dv3TpUgCSk5MZPnw4b7/9NsXFxRXalpWVMXfuXADi4+Nrq8uimqSwoBBC1KKOtwxh0c970Lh5Yg1qji5zOYS3qu9uXTXcf72DcL9XaZmuJyXYwimTwt4/d9LFYweamO4XP0AD4+mqp0u4L13CfVFVlQxTGUczCjmVV0KmqZSsQjP2v93o25uaj16n4YaY5lJaSYgGTPGJKB/VcGIdaqc7UDSOt+qasXegbmyOfc2S8h3Wz2FgWGvW2feinnl0aPkvf3DznePrpL8GnZZhnUI4nV9CSnYxJRYbH6w+TM+WfkSFeMlTvkKIS6Z4NC+/DhaeRmnZBvWvMw+I5OVCYHClfaK7xqCxHHOWySwqKiIgIKDm+6Yo9G4dQIcQLz5ac5RSi42U7GK+2pjM3X1b4arX1vg5hRCisdq4cWOlhACAt7c3DzzwAKtWraJ58+ZERUVVuX/Hjh0JCgpiw4YNFBYW4ufnR+fOnfnoo4+YN28e/fv3JywsDJPJxJo1a0hNTeXOO++kT5/GUbmgKZNEgxBC1CKdmzuep9MoauOJotWR+JdKYJg88VlXFG9XXB6MZcCy9aQE5wFw0GwjZu0X4OaOpk1k/XbwCiiKQrCXK8Fe5cND7XaVnGIzmaYykjIL2XYsB3A8aZxfbOH23i2lhroQDZXf365HOYcgIBoARadDGXQthLfE/usCyHU8setvPcGta32YF58HwPL1qxk95kYMHsY66/aAdoGkZKcAkF1oZun+NJbuTyOqmSfXdmyGn7tMFC2EqCaPEOdLtfA0BDWDM4kGNScTpYpEg25YWwa/5MGK7o4ymV99+gXPvvhcrc0l6W00cGtsC+ZvTaHUYictv5Sfd6Xyj9gWtXI+IYRojPbu3cvevXsrrQ8NDSUmJgaTycSYMWPOe61WFIUhQ4bw3XffsWbNGkaOHMknn3zC6tWrWbhwIQkJCfz+++8YjUY6duzIE088wQ033FDbYYlqkESDEELUsvZGPTvPvE7UhhFmzavP7lx1lAA3QrPKJ+tbnawhOKaUAfM+QpkyA8XX/wJ7Ny4ajUKAhwsBHi50CPEizNfIL7tPYbOrHM0s5LN1R4lt5U8rP6ldKURDo7h4oQZ1gYzdAKjpu1DOJBrO0rRujzLlX9hedkwcrYuxEpvkys+lCsWujiT2s1Oe4JWvZqHR1M2k922CPBndNZQNhzPJKTI71yemmTicUcjorqF0DvOpk74IIRo59/IySJRkoxjDnSMc7H8sRhPZqdIuutGR9Ljb6Ew0nMpMIyMjg+DgykmJmhIR4M69/Vvz8dqj2Owqf50uYOfxXLqE+aCR0aNCiCbk4MGDl9R+7NixjB07tkaO+9xzz/Hcc89VWBcfH39Z5ZGmTZtW4xNai6rVzScQIYS4ivUbEYdqtwOQ1yycgNy/6rlHVxftgJb4mbS0Ol1exmPeXi0blBLUvTvqsWe1r0u4L+N7lT9hd/rMU3fvrT7KjhwdhRb5MCxEQ6J0nQRnJzvNrvoDmKLToRl2o+O1FlzHltJPbe7cnmu0MnnyZI7uOlDr/T2rWwtfpg5ux5T4tsRHBeFxZg4Zm13lp50nSckuqrO+CCEaMe05JdfSd0FUx/Ll/FzsSYcq7aIoCs0nD6rwPu/999+vxU46BHq60qm5t3P5512pfLT2CAUlllo/txBCCNFQSaJBCCFqmX94IJpsx6TQipcveUlp9dyjq4tucCu07QP4xzpvmmeVD+T76ZSd0ozD9dizutE2yJNRXZrj6Voeu6rCqRItazL0LP8rA6vNXo89FEKcpejdwOXMjSuz6bztNL0HQmAz5/Lo3pVHKf02Z2GN9+9CFEUh0NOVge2DmDqkHV3OjGKwq/C/P4+x4XAmecXmCx9ECHF101Sc20WxZoLRzbms7tle5W66Ee25aaOXczkjI4Pt26tuW5MGtA8kxLv8+ptpKuOD1YdZtv80iacLKDZXnsBaCCGEaMouK9GwdetWXnvttZruixBCNFnBReUTIW3PDwFTbj325uqiaDW4PNYHf5OO/7c4kG42DwCKLQp7s5v2iIazurf047FrI7mvf2v6tAnA6JywUGFbSh5fbkzmVF5JvfZRCHGGwXGNwlKEqp5/Th/tyJudrzXZmbw89Sk6ZXo61x0sPEVBQUGtdfNCXHRaRncLJcLfHQCrXWXlX+m8u+IQczYlU2ax1Uu/hBANm6LVg3t5EhWzCe3dU5yL6u5t2A9VHq2l7deCZnl6AvPKJ2TesmVLrfYVwN/DhfsHtuHO3hG4GxznNlvt/Hk0m/lbj/PmkkQ+XH2YdYcyyCkqq/X+CCGEEPVN9+67717SDqqqsnLlSpKTk3nqqadqqVtCCNG0dG3TnCVn7qsc926BsmsZDLmrfjt1FdH2DnO+7mNpy07tLgC2pir0Mp1C8Wx+nj2bDkVRCPNzI8zPjb6tfPh1SyKHC7TYUTiVV8Kn647St00AQ6ODa20CRSFENegdN+exW1E3vQpd7kXxaFa5XXhE+Wu7Hf/mHkxd8AbfDH2K9e3ysSp2EtZs5NrR19dJt/9OoyiM7RHGwu0nSMkuT7YnZxWxOSmbQZFBF9hbCHG1Ulpfh7p3jmOhrAAloidK11jUXVsBsK9dhqZ9xflrFEXB9b/DmPzM77xwp2MU8a5du7DZbGi1WmqToii0CfLgzj4R/LwrldP5pRW2Z5jKyEjMYHViBi393RjbPRwvo/48RxNCCCEaN91HH310waelzudyJt+oSddeey3Hjx+vctunn37KwIEDncvz58/nyy+/5Pjx4wQFBXHbbbcxadKkWn/TIYQQZ3W/tgu//7QLjYuR0mahmDO3IB8x6o6mrR8ogAoRiRp84hTyylT2pStkLX+RgJtmX1U31w06De08bQS52DlQ7EH2mQlcNx3NIszXSIdzag4LIeqYq0/567yjqGufgfjXUdwCKjRTFAXN0JHYV/wKgH1nAtqhI+kX3Z31ltUAJK7bXm+JBgBPVz0T+7Ump7CMDUey2HncMZpv3aEMTKVWWvq70cLfDW+j4SJHEkJcNTzKH/5QC46jAJrhY7CdSTSQm13lbob7e+D2xJIK67Zv306vXr1qq6cVNPM28sCgthSVWTmRU0xKdhEp2UUVEg8p2cX8tOskd/VpVSd9EkIIIeqa7pVXXrmkHRRFITg4uM7+YJ9PYWEhoaGh3HTTTZW2tWzZ0vn6448/ZubMmURHRzNp0iR27tzJzJkzOXXqFM8//3xddlkIcRXTG/S4ZWRQGt4Sjd6FbScCGFTfnbqKKG4GNG38sB/JgW2n6XNDBH+cSkZF4cNNNv4ZtxdjaOf67mad8zao3NetJX8m57H+cCYAqxIziArxuqoSL0I0JErEUNSsv6As37lOPfwTSpf7Krft2hNW/QF2G+qurajxwwm7fxDK+6tRNbDPdILs7Gz8/f3rMoRK/DxcGN01FKvNzt7UfOwqbE/JYXtKDgDeRj0xYd5cExmMViPXHiGual7hOJ8OyU8BQHFxhWbNIe0UmKsuQaS4GzA+PZA2uxZztLnjAYoVK1bQs2dPNJq6m5rS3UVHVIgXUSGOOSPyis3sT81n5V/pqEBSZhFZhWUEeLjUWZ+EEEKIuqKr6kZ9Y2AymejSpQvTpk07b5uTJ08ya9YsevTowddff41er0dVVR5//HHmzZvHTTfdRNeuXeuu00KIq1qEVkPimdf71DBJNNQxTUywI9EA9P7DjY2xKgVmhVSTwrZtWxhwFSYaALQahfioIJKzCjmZW0JWYRmZpjKCvCpPLiuEqH2KTyuUoTOx7/8Wjq10rDy5CbXtSBT34Ipt3T1RIqNR/9oLRYXY53+F9pZ7aJGlJyXIAsC///1vZs6cibu7e12HUsmYbmG4uejYkpzNuQOq80ssbDichanEypjuYec/gBCiyVN0rqgeIVB4CkypqKodRdGA4cz7EpsNNT8Xxdu30r6GB3tyb+t1vHFLBvkedlJSUkhKSqJt27Z1HEU5HzcD/doFYrWrrDnoKOt0NKNQEg1CCCGapLpL7degkpISLBYLvr6V31yca/HixVgsFqZMmYJe7yhSoiiKMznxww8/1HpfhRDirN59o5yv89w8L9BS1AaXR+Kcr41bcxhhK/+Al3vyaH10qcFQFIUwXzfncl6JpR57I4QA0HS8HYzl5ZLUNf9GLc2v1E5pHl7e5vBfsGkl8R5RFdqsX7Gm1vp5KTQaheGdQnjy+g7c2TuCge0Daelffu3ZfTKPTFPpBY4ghLgquAU6vqu28lENrcqTBbb3XkUtMlXaTQnxRG9XiD1Ufl1JS0ur3b5WU1QzL+frNQdlcmghhBBN02UlGhYsWMDYsWNrui/VVlBQAICPj88F223ZsgW9Xl+pzFPr1q0JDQ0lISGhtroohBCVhESF4n7kMKrNSiu7tb67c9XRDYzA9fVrncs+68uf7i0yZWE/MB/VdvXeYA/0LE+8/LY7lSMZpsuaw0kIUXOUFgMrLKvr/4OafbBimw6dwc3DuWxfs5SeDw7Fo7j8bf7RdbtqtZ+XykWnpU2QB/FRwUzs15ruLcsfHkovkJtvQlztlMCOztfq7i8A0MT2Bc2ZORbtNuzrV1XeT6tB096ftqfK532ZO3cuRUVFtdvhagj2dnUmG0otNjYeyarnHgkhhBA1T3fHHXdc0g6qqnLo0CFsNlstdeniTCbH0wsXSzQcO3aM0NBQDIbKE8y1atWKjRs3Yjabq9x+PhZL9W5Cnduuuvs0ZE0tHmh6MTW1eKDpxWSxWIgf1AK7zUL0dddgNpsvaf9LuVbVhiZx/Xu4B8r3+1C3nyboqAGlL6jAmmQNtyYvw1aUib3zJFDKb9A16HguU1UxtQ0w4umiw1RmpaDUyjebU/Ax6omN8KFHC58GPWfD1fIzasyuJJ76vvZBPV7/WlyLJu8YmvQdjmWzCfuOD7ENeLX8hpunN0x7CmX+VyjHjgCgJq3hqd9DmXHzCQD2FB7n7bffJjg4GF9fX/r374+Ly8XLdtTV72GEnys7HA8ts2TvKXxdNRWSnzVJ/m01fE0tJrn+XQb/zuj41vG68BTmwiwweKH06I2ydSMA9tQUbFW8lzasvIuIsLfxKdSQ52EHYOnSpYwcOfKSulAbv4fXdgggMc3x0OTek3l0CvEg1MdYI8euDvm31fA1tZga+/VPCHHplMjIyEt+XFGn0zF16lQeeuih2ujTRe3YsYPbbruN/v37c/r0aY4dO4aXlxdxcXFMmzbNWYOxU6dOdOzYkfnz51c6xuOPP85vv/3G+vXrCQoKuuD5zGYze/furZVYhBCiunr06FHn52yK1z/vH5IJfHMfAK/ek06u1vEh9OVrrfgZ4ajPDRS4RtRjD+tPiRW25ejJt1Qc8BjrZyHYaK+nXomrXX1c+6BhXf9cLdm0zvsDF5vjBtVh39EUulScy8A9J4O2m1YAYNNq2d//JlIfXcivvSuXF3F1cWX8beMbzId4mwrr0vUU2RzXHheNytBmZhpwflOIOnHVXv9UlU4ZX6JXHaXUTnn0Jt2jO6gqHZctQGexoAIHrh2L1aXynFItR69gZVg6q7o6RjLodDpuu+02jMa6u6l/Ppuz9GSVlb/P8tLbaW6046lTcdepuOlUNHLtE6Lern9CiCujW7ly5SXtoCgK/v7+1XoKqrbY7XYURSElJYVrrrmG+Ph4tmzZwpIlS1i3bh3fffcdUVFRWCwW59wMf6fT6YCmkSUWQghRfeaW5SVGPGxu5GoLAfh+r4b7e9rxMSVdtYkGow76BVpIL9WQWKClyOr4IJxYoMVLb8eoq+cOCnGVKtX7c8ojjlb5ywFoUbCGA4F3VmhT5BdEkY8/7nnZaG02NC4qMTExZP21i80diiser6yULZs20/+aiqWZ6otWgT6BFlanG7CpCmV2hVXpBiLcbbTysMlNNyGuNorCIf9xdMz6BoDmhZvJNkZh1bqRE96GoKREFMCYn4MpqHml3bMejea6p4v5s0MxJS4qVquVrVu3MnBg/V/zuvpa2JRpoNjmuLAVWDQUnPOAh4Ij4eCuU/HQqfgaVAJc7Oga5eyaQgghrja60NDQ+u7DJevZsye//fYbLVu2dCYMAF5//XW++OILZs6cySeffILBYDhvIsFqddRHv9SESVRU1HmTF+eyWCwkJiZe0j4NWVOLB5peTE0tHmh6MTX2eJrK9U8NL6X0iW1QauWORUZeG+9INOxO0zB3F0zoloh32zuck7A29HguR3ViGmy389HaY5jKrJisGlalu9DS342OIZ60DnTHw6XhZB2u1p9RY9LY42kQ1z97FOqqlSiqHRdbATGt/MCj4vt45cheyMsGoOOJw9im9uOm+BT67XejVK/ywY3ZzrZJh44w6aEHLtjHuv65WY5ms/awo48lNoW/CnQo7r6MjmlWY+XbGvvv4t81tXig6cXU2OOpz+ufunkdislRAq5T7vfY4v8L1mJIcpynlcaOGhNTeb9mrSl9ejtTfwrgzX9kAo5JoaOjo9FqtdU6d23+3Dpb7Rw4VcDu1HxO51ecl0ZFodCqUGiF9DPrtIpCC38jUcEedA7zRnOZ18PG/rv4d00tHmh6MTW1eIQQF9dw7hJcojZt2lRa98gjjzB37ly2bdsGgJ+fHzk5OVXun52djVarveg8D3+n1+sveZj55ezTkDW1eKDpxdTU4oGmF1NjjKfJXP+CDNinxGKe+Sd+hTruXeLL18PzsKGScFJDW3+V/tveRmk3ErSu4BPl3LVBxnOFzheTAbitd0u+3phMmdWOChzLLuZYtuPJ6GAvV1oHehAT5k2Id/2XIjjravoZNVaNMZ6Gcf0zYPcMhQLHTTdd0m9oek6t0MLesjX2REe5E+WvPehtVgxJj+HxVybYVV65fg5v3pJJrqeNUqzs27ePuLi4eoqnskFRzQj182BLcjZHMhxJ4AOnTeQUWRjWqRkRAR4XOcKlaYy/ixfS1OKBphdTY4ynPq9/9uAucCbRoFiL0VvzUT29OFvMUdm8Dt2g61Bc//Y+JNSAuVMQgfsyaHfSwOEwM3l5eWzfvp3+/ftfcj9q+udmMEBcW1fi2gaRaSrldH4pWYVlZBeWkWUqI6fIjNVeXuHapqokZxWTnFVMRqGFkV2u/GHRxvi7eCFNLR5oejE1tXiEEFU7b6IhNTWV/fv3YzKZUNWqp3G4+eaba61jl8NoNOLr60tGRgaqqtK2bVs2b95MaWkprq4VazcmJycTHh5eYUSEEEKIq4Prq0OhxIr5w61EnXRlgiGGL817APhmt5bY0Bxc9s4BQOvii6vHMEr1fvXZ5XoR4m1kcnxbdqTksudkHnnF5aME0wtKSS8oZfPRLK7t2IwOIV54G/UNetJoIRo7JW466vL/51hI34mauQ8COjr/3SlxA9AYDNh/+QEANTsTbYgnmhBPAPzynuHmqP/w6Q2OB3EWLVxEhw4d8PLyqvNYqqIoCu2CPWkX7Mmek3n8uOMkAGkFpczZdIxbe7UgslnD6KsQovYp7W9EPfJr+Yq8Yyjh7Su0UbdsQBl4baV9dX3DMe/LYOA+dw6HOSaNnjdvHv369WtQ71UCPV0J9Kx4r0JVVfJLLKQXlHIko5BD6SYKShzvwban5BLd3JvWgTWbeBVCCCFqQqW77EVFRTz11FOsWLHivDupqoqiKA0u0ZCTk0N2djahoaEoikJcXBwbNmxg48aNDBkyxNkuMTGR9PR0xo8fX4+9FUIIUV8UnRb92A6YP9wKQBd9S0LVfaRaHM/IPbtSy22d7XRppqKU5dLWvJhD/g3rb15d8TYaiI8K5prIIE7mlnAo3URSZiGn8koAUIFl+9NYtj8NvVYhwMOFQE8XAjxdCfF2pU2gR4P6QC9EY6YYPFF1RrCe+fe35W2U6NuhleN9rqIoKN17Y1+3AvJzoSAfVbWjKI7i3oq7gQ4Du9P+xHoOhZeRl5/H119/zbRp0+otpvPpHOaDp6uOpfvSSC8oRQXmbTlOZDNPerT0o1WAOzqtFC0XoilTFA3ETEA98/AHxZkozWPR/GMi9u+/AsC+ZilKx64o/oEV9jU82BPzJ9tpddoFo0VDid6OxWJhx44dDX6SWUVR8HEz4ONmILKZFzeoKpuTslm2Pw2AuX8eI8TblagQL2JCffB1l6fEhRBCNAyV3p2/+eabLF++nPDwcO644w7c3NwYPHgwDz/8MA8//DDt27cnNjaWb7/9tj76S1ZWFv/4xz9ISEiosN5qtfLyyy9js9kYNWoUAGPGjMHFxYUPP/wQs9nxFIPdbue9994D4NZbb63bzgshhGgwlLDyp2LNH+2kf1x5QrqgTOHjrVqWn/AFQK+W0jb3ZyjKqPN+NhSKohDu58aQDsHcP7AN/xwWRe/W/hXaWGwqp/NL2XMyn1V/pfPN5hS+33r8vCMjhRCXTul4e4Vl9eT6Sv/GlGZnJke1mCEnu8I2/bB2/GOdN55Fjo8B+/btY8+ePbXX4SvQKsCDBwa1oc05T+4eTDPxbUIKbyxJ5LuEFLYkZ1NYaq3HXgohapW+/N+/enAhqrUETYcYlF5nSiCpKvY92yvtpmnrBy5aDDaF6zd7Otf//PPP553HsaFSFIW41v6E+7k5153OL2V1YgazVh5i8c6T5BaZ67GHQoimbs2aNUyYMIFu3brRoUMHBg8ezHPPPUdKSkqV7Tds2MBDDz1EXFwcHTp0oH///vz73//m+PHj5z3H1KlTiYyMZMKECbUVhqgDlRINy5cvp0OHDvz666/MmDGDVq1aERMTw9SpU5k6dSrvvvsue/bsQaOpnyeISkpKKCoqYsKECUyYMIG33nqL119/nZEjR/Lrr7/SrVs3Jk+eDEBQUBCPP/44e/fuZdy4ccycOZM777yTlStXcvfddxMdHV0vMQghhKh/mnb+KCFnPryW2eh27z7ubtaBIG350/cr9pdQonc8IediK0C79Q1HqRKBm4uOYZ1CuKtPBP3aBhDZzBM/dwN/H7uQmGbi+63HKSqTG4FC1IjQPig9HylfLjgBJzdUaKKEtnC+Vv/aW2Gb7oZ2eJVoGbG1/MbbBx98wGuvvcbChQvZvXs3ycnJJCcnU1hYWDsxXAKNonBrrxbERwXh6Vo+GNtis3Mo3cQfe0/z0ZrDZBeWXeAoQohGyyuswqK67llUVUXTs+8565Zj37kF1VqeQFA8XDA80huA2ENGPMyO60daWhozZsxoENe3S6FRFO7sHcHgqCBCvMtLLanA7hN5fLruqCQbhBC14vPPP+fBBx8kOTmZm266iQceeIDIyEh++OEHRowYwZ9//ulsa7PZmDFjBvfddx/bt29n8ODBPPDAA8TFxfH7779z4403sn///krnKCoqYt26dQQGBrJ169bzzrcrGr5KpZPy8vK45ZZbnJO0tGnThoMHDzq3R0REMHjwYN577z0+//zzuuvpGeHh4SxcuJB58+bx888/M3fuXCwWCxEREUyfPp2JEydWmGBm4sSJeHp68tlnn/HZZ58RFBTE9OnTmTRpUp33XQghRMOhKAr6MeXlkzR2iPnFhR7v3Mwj3zjqm5ssVj7Z5cOkzlbcbbkoliLULW9D3HSUAElWA7QO9KhQJ9his5NdWMb+UwVsOJwJOJINx7IPMbB9ELERflLuRIgroCgKBHeB7pNRd3wIgJq4CCV8QHmb6C6w6g/HthPJFfbXBLijhHkRk6zyc+8Cil0doyHOJheWLVtW3lajoWvXrrRu3ZqSkpJ6m8RRr9UwsH0Q/dsGcjDdxMG0Ao5kFDoTmEVmGx+vPcrA9oF0b+mLm0HmYBOiqVDcg6HzRNQ9XzlWlOTAiXUoLQahxA1ATVgPgP3n+bBhJdqHpqPoHdcq15cGY35zI1pVYfxKLz673nHjKi8vj+nTpzNjxgzCw8PrI6zLYtBpGNA+iAHtg8grNrP7RB4bj2RisamUWGws2Xeaf8S2QKuRkpVCiJqRlpbGzJkziYiIYOHChXh4lH/uS05O5rPPPqN79+7OdW+99RY//PAD/fv3Z+bMmXh7ezu3nTp1iq+//pr27SvOtQOwdu1aysrKePTRR5kxYwbLli2TcveNVKVP+gEBARQVFTmXO3fuTEJCAna73bmuZcuW7Nixo256WAVXV1cmTpzIokWL2L17NwcOHOD333/ngQceqPID0Lhx4/jjjz84cOAAa9as4YEHHqi3ERlCCCEaDtdXhuD61nXOZfvudAzdBvB092jcznxGSzyazB8nWmPSN3e2U5OW1nVXGw29VkMzbyNDOgTzj57hGA1aAEotdpbtT+ObzSlSSkmIGqCE9ATvCMeCuQD7rnMeAPLzB4MLAGpGWqV93eaORW9TuP8Pf3qbmhESElLlOex2Ozt27GDBggU888wzHDt2rIajuDQajUKHEC/GdAtj+nWR3NOvFbozN9QsNjsr/0rn/ZWHOX1mDhkhRNOghA8Ar5bOZXXvHNQT69EMHQHB5e/PyMnC/t0XqAV5jv10Woyf3QhA+1QXrjFWvLn11ltvsXHjxkZXSgnAx83AoMggpsS3cyYWDqWbeOnX/Xy05gg/7jjBhsOZHEo3YSptfPEJIRqG7du3Y7VaGTx4cIUkA0CrVq14+eWXcXFxvOc8evQoX331FaGhocyaNatCkgGgefPmPP300+j1+krnWbJkCf7+/owbNw5/f3+WLpXP241VpbvtPXv2ZOPGjc7lIUOGkJuby4IFC5zrdu/eLTfqhRBCNHqKlysuj/VFf0tH5zo1u5jwyCju8ysfln5g318c87i2fMfMfahlBXXZ1UapQ3NvHo5vR9dwH+e6Y9lFHDgt/++EqAnnjmIgbTuq6ngwSFE0EBjsWJ+Xg/Xj/2L7eT72rZtQU4+j6ROKEuxOaLaesd8r/N/Yh3jzzTd58MEHGTZsGIMHD6ZPnz4V3u9bLBbefvvtBjOUXVEUWvi78+CgtrQLLi8DVWKx8b/NxygokRtrQjQlSu/p4NPauazu+QpOb0Zz+30ordqWr08+jO2DN1BPnQBAd02Ec9uoxEDuuOMO53JpaSlz5szhxRdfbHSllM7ycTMwtntYhdKV6QWO+bJW/pXOdwkpzFx2kK3J2ec9hhBCnM/ZpMCBAwcu+rDY999/j91u5/7778fNze2Cbc9VUlLCunXrGDBgABqNhgEDBpCQkEBubu4V9V3Uj0rZgvHjx5OUlMTy5csBaNasGTfccAPPP/88kydP5q677mLz5s3Ex8fXeWeFEEKI2qA0L79JZduTjqbPIDoMGUaYzvFn8nSpmfbLFmPPLh81p657FvveuahZB1BtUhP3fNxddNzYLYzxvcprxi/cfoJ3Vxzkq41JLN5xklWJ6exIyeFoRiHZhWVYbfYLHFEI4dRiYPlrWxmUlN9IUkLLn/4l7RTqzi3Yf1+I7bN3sb/7MoaHzwxzV8H81S68vLzo3r07Y8eO5dZbb2XixIn885//pHXr8ht7paWlPPfccxw4cKC2I6u2AE8Xbo9rybTB7Qj1NQJQbLbx255T9dwzIURNUvTuKHGPV1in7vkKEr9Ec9dDaEbdAq6OawDmMmy/fI+q2lFaeqP4O9bbViTR19iG559/vkLpjvT0dKZPn87ixYsb5eiG6Obe3NU3go7NvQjwcEGponLS+sOZ2O0yolQIcWl69+6Nj48PmzdvZsqUKRw9evS8bRMSEgDHA+uXYu3atZSUlHDNNdcAEB8fj81mY8WKFZfdb1F/KhUwjY2NZcaMGfTq1cu57rnnnqOgoIDVq1dXaCOEEEI0BbprIjC/uxkA67Kj6EdHoR1yA8E79nLySBIAR802olJdUD2tKAY7mE1wfA3q8TWAgtpqKJpoqSN5Pu2DPQnzNXIytwRVhbxiC3nFFlIortRWq1GIjfBjcFQwep2MoBTifBRFg9p6OCQtcawoTAM3xwT2moFDsNusqMeTISsdzn0KrciEtvgPUDwciYZ3N0OxBdcPRzrmgDgjLCyMoUOHkpiYyLp16wAoKytj3bp1REc3rHlq/DwcCYcPVh2m2GzjULqJojIr7i4yX4MQTYWiM0LPR1CT/oCcw46VmfugLA9N994oUTHYvnwfsjIg7RScPI4SHoHLk/0p/ddyUMEydzfN3ruB6dOn89dff/Hhhx9SVuaYTP6PP/5g3759PPHEE42ugkOrAA9aBTjKmlhtdrIKy8goKOPHnScBMJVa+WBtEsF6LX4uKu2tNupp2h0hGg3LD/spfW41qun/s3ff4VFV+ePH3/fe6ekdCCWhhNAEBQGlSFNZK8q6Cotl18ZafrqWXd11dddd17KKXxuube26ilgXFKU3qSIgvYcA6XUyfe75/XGTSUImkJBKPK/nmefOnFvmnEzyyZ37ueccb1tXpcGUKCu2v43H/MsBJ9+4AaKjo3nuuee48847Wbx4MUuWLGHcuHHMmDGDUaNG1TpvPHToEBERESQnJzfqPRYsWIDZbGbMGKOn7ujRozGbzXzzzTdcddVVzdIOqfWE/e85Y8aMWmNpRUVF8dprr7F27VpWr17Nu+++S2xsbGvVUZIkSZJalGlCOpiNf4m+l9cjKseyHTphUmibFRV+8GmInRGIcgcoWo0jCDjwHcJf96K5ZFAUhSlndmVgagydom3YzFq92wZ1wZr9hby4eDcLt+eQW+ZpxZpK0ulFscWGnosjq6vLI6LQLvklptvuR3vgMbTf3oEyfHT1eodATav+cuh7bSNlpr9Rav4b5We9jJ5bPYxIZmYmf/3rX0OvN23axCeffILb3b7mQnBYTAzoUv0d5rvtdeenkCTp9KakDEY95wGoOXSc2xjSTXFEoJ47LlSsr1wEgOWmoVB544LvpXV4XzTuuu3Xrx+33347/fv3DyUWDh8+zJdfftkKLWk5psr5ss7oFstvR1f3SnN6g+xzmlhfaObZRfv48scjePzBNqypJLVv3mdWoe8sQBwpP20e+s4CvM+sPnnjGmHkyJHMmzeP6dOnY7PZWLJkCTfeeCNXXnklP/74Y2g7t9vdqCGTwOgtu3TpUoYPHx6aAyIyMpLhw4ezdu1aSkpKmrElUmto1C0+VckHn88XdtJlSZIkSTodKZFW1G4x6PuNcSArJr9L5NLfMmTIEKKjoykrK+NHT5C7jjoZH2lmis+KUM0Qr6OmlYeOI7I3oKSPre9tfvYSIq1MHdot9NobCFLq8lPq9lPi8lUu/ezMKSOoC8o8AVbtLWDV3gK6xNq5dHAXOsXY27AFktQOdRkBe74CfwUcXY/IuAIlovadZIrFCt3S0bqlo8cnon/7FehBrBc48X5uQ8+tkfjTBfrmXMq7PI11w02h4oSEBEaPHs3KlSsB+O6771izZg3nnXceY8eOrTPhX1sZ2TOBzYdL8AV1Nh8uweUN0DMpkrTECFKibSc/gCRJpwUlohOhfloVORDXyygfeBYsnA8uJ2L3dgJP/QV1/GRMF2cQ+GInAJ67vsZy6zAUs0bfvn3p27cvBw4c4OmnnyYQCLBo0SJSU1Ox2U7/mNEt3sEvBnVm/YEiCpzVd2ULAZuyitmf7+TyM1NDvSEkSapmvW8UnkdOvx4N1nvPbfbjJicn88gjj3D33XfzySef8Oabb7J9+3ZmzJjB66+/zsiRI7Hb7bhcjbvxbsWKFbhcLgYPHkx2dnao/IwzzmDVqlUsXryYK6+8srmbI7WgOomG3bt3M2vWLP71r38RFRVVZ4ctW7Ywc+ZMPvzwQ3r06FFnvSRJkiSdjkxX9sP3tHH3R3BFFhVX/hfH3KsZMmRIaMiQAPCd0893Tj89LSr9Sk30K7GTPtiNqgDb3ya4egPq5TehREa3XWNOE1aTRnK0RvJxF/8KnF6+25bDnrzy0GgvR0vcvLZ8P+P6JjGqdxKqGmYAYkn6GVKs0dBrMmLnXEAglj4Iv3gFRQ1/P5E6YgxK1x4EX38ONUXHfqsL/1ozgZ/MCI+CKKzu8By48W3iHs6gpIsxx8pVV12Fz+djw4YN6LpOeXk5//vf/5g3bx7x8fEMHz6cSy65BJOp7YYrio+0csngLnz6g/FldU+ekz15Ru+MCIvGhf0b151fkqR2KiYt9FTkbkbpOgoAxWxGSe+F2LbZWOl2oc//FHNvGwHMoX1cl7xPxILrQq/T09OZOnUqH330EQAffPABgwYNom/fvi3flhY2PD2B4ekJFJe7WLl5F4VelWMeM76gTqnbzzurDzKkWyxjMpKIj7C2dXUlqd0w/3JAsw1B1FHExMRw4403Mn36dB555BG++OILZs2axccff0y3bt3YtWsX+fn5JCUlNeh433xjDP85e/ZsZs+eXWf9ggULZKLhNFNn6KRnnnmGHTt2oGnhhzTIzMzEarXy/PPPt3jlJEmSJKm12B4ZhzqkU+h14IudlJn+xkSlN926dauz/X6fzrxyH09n+bn/G41v9xoXvpXYbejfPohefKTV6t7RJEZamTaiB/dekMkvBnUmKcr40qsLweKdeby9+gBBXU4YLUkhXUbWeim2vnvCzZXU7qgXXAYpnSEpBfMEG/YbXThur8A6pXo4pOAWH53f3UC/rz+DDauxWq3ceOONPProowwbNiw0Lq8QgsLCQr7++muefPJJ1q1b16YTqg7qGssFAzrhsNT+PlPhC/LFlhzK/DJRKUmnvfjeYKm8qSPnB0Rx9QSl6uhJKOm9a22uRngwDfeFXgcW7q81RBwYE5COHWv0TA0EAmzatIn//ve/zJ49myNHTv/zugiriS52nUGxAW4a3YO0hIjQuh8Pl/Di4j38d90hNh4qosx9+k2KLUlS67Hb7fzjH//Abrezfft2wJjPF2Dp0qUNOobP52PJkiX07NmTl156qc4jPT2dVatWUV5efvKDSe1GnduNNmzYwBVXXFHvuFoWi4VJkyad9uMWSpIkSVJNisNC5PpbKDM/Wqvc8Y91/OLdX+Dz+Vi3bh05OTkEg0FKS0tD27j8Cp9t16jw6VzSV8ds9SCW/QO999Uo/cag1JO8l04swmpieHoCZ3WPY9nufFbtyUcAWUUutmSXcmb3uLauoiS1C4o9HhHZBZxHjYLslYjMqUZvh3qo55yHes55AAi/D33x14hd2zCN0dErgvi/EyAUfJ/b4WuB9t/vUO/ejTp8CIm9+3LzzTczdepUli1bxg8//EBeXh4AWVlZvPHGG9hsNrp27cpVV11FWlpaS/8I6jinVyIjeyaQX+7lQEEFO46VcqjQRVAXbCoyMSZZXkSTpNOZopqg54WInXMAgchajlI1fFKnLmjX/Q7hLEef+x6iuBBKi7FM8hJYVz0EtPe+/2B7/tcocQnGforCNddcQzAYZPXq1YjKbpU7duzg73//O6mpqYAxh+VVV10Ven06irGbue7cNNYeKGTpzjy8AR0hYFdOObtyjIt6nWJsnNU9jsHdYrGY5LmsJP0cuVwuNE3Daq3b28lkMqFpWqgn61VXXcX777/P66+/zmWXXRZ2HyFE6EaVlStXUlFRwcUXX8ykSZPqbLtt2zZmz57NokWLmDJlSvM2TGoxdXo0eL3ek45FaLVacTqdJ9xGkiRJkk43iqoSlXM/2tjqoQHFrkII6FgsFn73u9/x+OOP89RTT/HPf/6Ta6+9loEDB4a2/XavysOLNJ5eqfHl3gDi4Lvoc+4kuOSLtmhOh2HSVCb2S+Gqs7uHyjYfLiarsAJdFyfYU5J+PpRRf671Wnz/BMJb1rB9zRa0Cy/H9P/+hOnuh7B/9Ee0UdV/b3gVgrvNVNx2FNf1X+B/4B8EXnqK6M/f5zJnLn+7dhoPPvggXbp0Ce3i8XjYu3cvzz//fCgJ0doURSE52saIngnMGJkW6h1VHlDZUGgir9wbupAoSdJpqHuNebGyV6L/8G+Er/rOVyUyCu3632G6+yG02/+IkpyI/Y7q6xi+TwtxnvUs7pteQGQfAkDTNK677jr+/ve/c/bZZ4cmJxVCkJ2dTXZ2Njt27ODRRx9l/fr1p3UMURSFkT0Tufv8vozPTCbCWvs+1JxSD/O3HuPZ73axdn9hG9VSkqS2ous69957L9dffz379u2rs/7jjz/G6XQyYcIEwBgBZ9q0aRw8eJC77rqrTk+EkpISZs6cyaJFi4DqYZMmTpwY9v2ryhcsWNBsbZJaXp0eDT179mTZsmXce++9oSxTTUIIVq5cSdeuXVulgpIkSZLUmtSkCCKX/IaKyz4gMG83AFHzsym/rHut7aomRh09ejTffPMNn3/+OUIISjwKJR7YV6TQL0mQkehF5M1DP3Ymaufu4d5SaqDeyZGoCugCDhW6eHPVAWxmlZ6JEUT7FRIsp++XfUlqKsVkg/FPIFb9A3xOqMhFHFiIktn4cW2VGBsRy36DZ+l+Ch9fSNSiY6F1wW1m3PtN2K4sQOsVRAAiP4+0ex7m4YcfZs+ePaxYsYJ169YBUFFRwXPPPcd9991HXFzb9UIyaSojeibwv81Gr488r8Ybqw4RYdHoGu8g2m4m2mY8ouym0HOzqc59WZIktROK2YFIORNyNxkFx9YjLJEoA2fU3TYxGe32P6Ie2IO29HOCP7nBo6BnmfC9WYhmfxF1aDpKUgpKdCwxjghGd+vC0F7pHClzsnzVKioqKggEAqFjvv7666xfv55zzz2X/v37Y7FY6rzv6cBm1hibkcyYPkkcLXGzO7ecPbnlHCv1AODx6yz46RiDUmNwWNtuDh5JklqXqqqcc845PPXUU1xyySWcffbZDBgwAJPJxJYtW1izZg3du3fn/vvvD+3z4IMPUlpayrx585g0aRITJkwgJSWF3NxcFi5ciMfjYcqUKfh8PhYvXkyXLl3IzMwM+/4DBgwgOTmZlStX4nQ6Q4lfqX2r81/isssu4+mnn+bhhx/mL3/5S61/loFAgCeeeIJdu3Zxyy23tGpFj/f999/z8ssvs3XrVvx+P/379+eWW26p093m/PPPJysrK+wxXnvttdAYjJIkSZJUk2l8WijREPfu3jqJhpomT57MoEGD+OSTT0JjVAI8u1pjSCedxAjBL1a9g2PwVJSULhAVHTaZL52YWVM5t3cSK/fkh8o8fp3tx8oBC1EmHdeBIgZ1jScu4vT8si9JTaE4kmDYnYjVjxsFxXtP/ViKgjaqG7mPD8M99yDJL+wEV+VwQ24Fz/sOtL5+rFM8KJQSnPMOyuBhZGT0JyMjg2nTpvHnP/8Zl8tFQUEBDz74IL169SIhIYELL7ywTYYc6d85mjX7CihwVo/TXuELhoYJCcdm1oi2mYi2m4mymYm2mYiqkZSItpuwmTUZ0yWpjSgDpiMKd0DAuCjOoSWI6O4o3et+z1dUFaVXX2yvTMc15UNEviu0zvu5DatlP2r0PgTG0A9VszwMAiYnOqBXCmtcAT7cc4hAMAjA5s2b2bx5MxaLhf79+5Oenk63bt3o1q0b0dH1D1/XHimKQmqcg9Q4B+MzU8gpdfPa8n3oAgSwel8BE/qloMp4J0k/G9dddx0TJkzgnXfeYcWKFbz7rjEPWGpqKjNnzuTGG2+sFessFguzZs3ioosu4sMPP2TRokWUl5eTmJjIxIkTufXWW0lPT2fZsmWUl5czZcqUes+hFEVh4sSJfPjhhyxdupRLLrmkVdosNU2dRMN1113Ht99+y5w5c1iyZAljx44lKSmJoqIiVqxYQU5ODmlpadx8881tUV/ASBA888wzpKenM23aNFwuF9988w233347Tz75ZK2xu5xOJ6mpqVxxxRV1jtOjR486ZZIkSZIEYL6yP577vgXAcqgCTtI1PjU1lbvuuovCwkL+/Oc/h7rS/5hj3A27LjuLG478H6nFDiIjolBSuqCk90YZdi6KPfy8SFJdE/ulMCI9nr15TvbmlbMv34nHb0wMXR5QWbKrgCW7CugUbaN/l2jO6BZLjF0mHaSfkdhe4EgCVz4U7UJU5KJEpDTpkGVT0+j+8CVYPDoVUz8iuPQgAMFdZryfgfVXHti+GbF9M+KccSjd07DHJ3LJRb9gztxPEUIghGDv3r3s3buXbdu2cdddd9G9e+v28rJbTNw0qgerN22jwKvis8SQVezGF6h/cnmPP4jHHySv3FvvNiZNqZF4MNMpxkZqrJ3OsXbMmuwRIUktSbHHwwUvIn6YDTk/ACB+ehcS+6M4EsPuYxrZjahj9yMOllA+5GVw+tCParhfisAyyYv57DBzuLhd4HYxEhieYmfT0LF8tHgZFRUVgDGp6Y8//siPP/4Y2iU2NpauXbuG7sKNj4/noosuwmw2N+vPoKV0irFz7TlpvL36IACr9haw41gZ5/fvRGbn0yuJIknSqevatSt/+tOfGrXPpEmTws67UOW8885j165dJz3OX//6V/7617826r2ltlUn0WCxWHjzzTd57LHH+OKLL/j0009D6xRF4YILLuCRRx5psy4rbrebTz75hF//+tc8+OCDoUlHbr75Zi699FL+9a9/cemll6JVTrxZXl7O4MGDufPOO9ukvpIkSdLpSekeU7vAX/+FqJoSEhKYPHkyX3/9da3yMq/C89sBXMSoblIPF9B36zbGrVyMedBZEBGJYrODzQY2O9jsKNaq5zaw2uWk0pUibWaGdI9jSPc4grrOlqwiVuw8SrGv+oJeTpmHnDIPi3fm0SspkjEZSfRIiGjDWktS61AUBZE4ALKWAiCW/gnRfRxK5lQU86knNRVVQYm1E/Hddfjf3YL7pi9AFwR3m3H/W0XrYdzdq65ZhemspSgWOA8YmJ7MGp9gTWEZRW7jjmOn08ljjz1Gt27duOCCCxg+fHhTm93wdigK0WZBtDnIoEGpmMxmnJ4AZW4/ZZ7KhztAucdPmdtvLD0BgieYDyYQFBRV+CiqMHpKbMk2ylUFkqNt9EiIYHTvRCJtp8fFRUk63SiKAmfeivjxNTi2AYQOORuh54Un3EdJjyNyyQ1UXPw+Iq8C/Aq+r21o0y6ENCjYvw+zx0WsqqA4y6CkCDB6OwzduJwz+nZld5d0NheVsWXr1rDjkZeUlNQqM5lMXHzxxc38E2g5aYmRDO4Wy+bDJQAUVfj4eH0W00f2oHdyVNtWTpIkSWp3wg6wFxERwT//+U/uu+8+tmzZQklJCdHR0QwcOJDk5OTWrmMtdrudDz/8kLi4uFrda1JTU7nwwgv59NNP2bt3L3379sXtduP3+9t0PFhJkiTp9KQoCqbJvQl8Yww94lhXAEMbtu+UKVO44IIL8Pl8PPPM0+Tl5ddaX6oLSr1BtnuDbPUU0yN/Kd3MKkPtphN3RzdbqhMRVltlYsJ4jtUKmgnFZALNBKGlZixDZRoIcBQXoKsaFOQh7PbKbbTq/bTTYygQTVUZ0CUavfAQzoACMV3YnVfB0RJ3aJt9+U72Fzi5bHAqQ7rLcwKp41NSRyCyV4JeOZZ41lKEZkHpf3XTj62qWK4fAr4g7plfASAKNAIF1YlQ/2oLlgu8mAYGSPBUcDFwUazGnggHr5T68PiNeh0+fJg33ngDh8PBwIEDm1y3U6EqijE/g73+JIAQArcvWJmIqE5KlFctK8u8x/WM0IUxmWpOqYe1+wu57pw0EiKtRNlMp0V8laTTiaKaoMcExLENAAhPCQ35K9PO6kLktttx3/oVgU93ABBYXIrp5Ys4ZjPu2o8ZNAizxYKocBJ8/blQwsGcc4QBOUcYkJTCtEljyHE6yfYGOOz2kl1cwuGjx3C5XLXeb/369adVogHg8iGpDEyNYemuPI4UuxHAB2sOMaJnAiN6JhDrkD1HJUmSJMMJZ/KJj49n3LhxrVSVhouPjw9bXpUEqbqToKysDDC6LEqSJElSY5kurE40dLlnHWLaaEhu2Jcph8OBw+Hgb397lKysLLKXvER2bglHyiC7wobLY9z5utens9dnXJxaXOFnhMNEV5NGqlnFrh73FdnvMx7lxv+3cPfXNmQ6ZBXoU/VixdcE69tQ045LWpjqJCQUU33bVG+nqCqoKiiVS1UFRTmuTKl+riigamHKjOeKctz2wSC2smJsKPTplszYpGiKfZFsyfOwOddFiSeIEPDFj0ewK0H6JEeiqFrofRVFDm0idSxKfAac9xhi/wI4tNgozNmAyJxqXIxrBpabh6L2T8Lzx28Jfp9da51wqng/tRM8asFykRcl4ERRFDIsCo8mWNno1viotHooohdeeIGuSYkMHTiQceeNxR6fABZru7kYrygKDqsJh9VEp5j6t/MGghRX+DhS7Ca7xEV2kZsCZ3U73/n+IABmTSE+wkpCpIWkSCtn9oiTQ7xJUnOw1LjD3u9s8G5qvAPHu1dS9sU/ISgI/nAs7IUSJSIS7Xf3IbZuQt+wCnKMyeXJz0XJz6Uz0Bk4u3J70SmCktgeBOISeGvbHg7m5HLs2DE++eQTUlJSOOuss4iIaP+9LRVFoXdyFD2TIvlw7SH25jkRwJr9hazZX0haQgTn9E4kI0X2cJAkSfq5q/ebxsKFC1m2bBlHjxr/PN94443QuoMHD5KWltbilWusAwcOAIQml6tKODRnosHvDzNe40m2a+g+7VlHaw90vDZ1tPZAx2tTU9tjsbTtRYifZfy7eQi88yNsygHA+7v/oXz4y0YfpkuXLqROnMK5W/8DQDA5k522sbzxxhu43dV33mf5dbJKqycpTbDbSI100MVmxSZ0CPghGCBaBDnTDJaWvggXDBoPX/1jkzcksdGQbZpCBfpWvVg+nyAQDYwGzkXh0/Rx7IpNA+C/m3KI8LtIKz9GZskh+pYeQgFEVfIilPyoTGQcnwipkfCovd2JymsmTWomT+rfXxeCTsVFCEVFLzqGz2QyttPUyoSO2UjqVC3NZqPcXLO8xvOqZE0baUpcaOvYB6dp/DNFQ8ZVqM4c1MLt4C4isOtLROposMY06PfhpO05uxPmRddi2l8MTj+iwkfgT4vR1x4BILDGh8gcguX/JqKsXoKyZjkRqsLYCDMZFo3H811U9rkgO7+A7CVLWbJsGRdFWehrN5MYFYniiAB7BDgcxtLuQMTEQo9eEJfQ6B9LS35GChBv14i3RzKoizHM7H/XZ3OgsPYdzf6gILfMQ26ZMZTUugNFXDW0C6mx9ka/Z7v6nWsmHa1NMv61JnPoAofuKSfg851w61pUUPrEI3YWov+Uh+9QUWhV7fYoMOgsGHgmHNqPsvw7lCOHwh5S8biJyzkMOYcZ6vJxsLL8u+++A+Cjjz7izDPP5MILL2yVkSOa4zO6ckhn1h4oZuXeQoKV85EdLKzgYGEFZ3aLYVBqNLF2Mw5Ly/eMbR+/c82ro7XpdI9/kiQ1niJE7dkt3W43M2fOZN26dZjNZkwmE263mx07jG6EhYWFjBs3jscff7xdzfhdVFTE+PHj6dWrV2heiR9++IFp06YxevRojh07xsGDB4mOjmbEiBHceeed9O7du0HH9vl8bN26tSWrL0mSdFJDhzZw3J5mJOMfRCw+SucHNoZe7115EVgaP1eCKehiYP47KBi9FyrMKRy2DOZARSQul4vvv/8+NKFgQ8TGxjL+3HOJMpuIMmtYhEDRgyi6jlq5NB5B1MplaF2w5uvq59Xb1t2v7nEaNmdFe1BsieKVflMIhrmTe2DRXs4s2I0j4CEi4MYW9DVoqIXTjUBB1zSEpqGr1Utd0xDHL+tZFzSZKU/ujN/eundftkXsg44T/xy+HPoWfVqrzK/acZsScZmTKLWm47I0bbLomhR3gO7XLMV8zEiiCrPKgf9NQo+zYi0vJTr3CFH5x4gozqfEF2CjO8AmT4BDYebBiVYVelpUelk0htlNRB83sbLXEUl5YifKUlIpT+5sJOPaGSGgyKfgDChUBKqXroCCqBFtLKpgYicfWkcMQNIpk/GvcRQRZEjuKwA4zZ3Yk3Blo/ZPnPUTsf81bl50n5XAkedHnPycTwiszlJMfh/oAqvLia28BFt5KbbyUsxeIxaWBnX+kefCFebuC6vVytSpU9tsHsxT4Q5AtlvjkFPDo9cNXJoisGsChyawm8ChCWItOnEWwfEddiUpnLaKf5IkNU2dRMOTTz7J22+/zZ///Gd+9atf8e9//5vZs2eHEg0AN9xwA4FAgPfee6/VK1yfhx9+mI8++ogXXniBCy64AIANGzYwY8YMunbtyrhx47Baraxbt44tW7bgcDj48MMPyczMPOmxT9cTLUmSOhaZaGg7PS5fGLpolv3aKDyDww/hdzJdylaT4vqxVtneuEspt3YjEAiQm5tLaWkphYWFFBUVUVhYSCAQCH+w41gsFhwOB3a7PTRsk91uJyYmhu7du6M190TSQqCI6qSEEtTrJjSqXgtRub2xT9Xz6jJRo0yvXUZj9q3nGEJQplo4YEvmsDWBg/b67xpUhY496MUR9OIIeLEHPEQEvUYiwu+mZ/lRogIVxvF1AdSox8+ArqoUpPclt89AdFPrTGwrL7Q1XXrx18R6D9S7fnviNXhNpxbXwlGdfrr8bjW2XcYwb0U3ZVB0c0atXhRqIIC9pBCz143m81JWWsqiPQfYWVwa9pg2BS6OsjAuwhx2LhuvI5L8npkUdeuFaO541wJ0Aa6Awg/FJsr8RoIk2RrkzPgA5vaXL5HaiIx/jXdG7mtowk9QMZHnGILbnEi5pSu6evK7o9VSH92vXoqpyOjJ6ekXQ95DQ/D1iT7l+mg+L47iAhKy9qIczSbbH0QHtvt0Vnn00HleQkICgwYNAiAyMpJOnTqhqu0/GAgBq/LNlPgbVldNEcRbdJKsgi6OILb2H66lNiITDZJ0eqqTaDjvvPM466yzePbZZwF48cUXeemll2olGp5++mnef/99Nm3a1Lq1rceSJUuYOXMmEydOZPbs2bXW7du3jx49emAyVd/F+OSTT/Kf//yH8847j1dfffWkx695opWZmYnZfPIv1n6/n507dzZqn/aso7UHOl6bOlp7oOO1qantaYvuozL+Ge0puOWT0B1udInC8sz5qKO6oSQ18s5uoaMcW4u27Z1Qkd7zYvRe4XsI6rpOYWEhubm5oS+iNYcybKi0tDQuvvjiUPLBZDKRlZWFqqod5jNqzO9cQNd5aekBXL56Z6eol0VTuPSMzmSkhLnrUOig68YVRFFzqR/3WoAeNL6dH7+dbiRTAn4fhw8dAiHonpqKpqrG9noQAoHKh7/yEUCpXBLwg98YYgt/ILQ+/NKP0sBEVp2mZgxATJ3R4O2bEhfaqut8h4p/QT9KwVaUskNQfhilLAvFX92DKtjnCkTaBXV2a0p79P3FeAe+XD12WqdItEnpqBf2QruyH0o9t7QeOHCAXbt2sX//fg4cOIDH46m1vl+P7lzWrw/xBcdwHMtGFbV7QoiEZMRFV0DXtLDHb2+fUXaxm3fXHg69TktwcM2w1AYPOdLe2tMcOlqbZPxrXeqGZ1GLd9cqE6oJkTAAkTIUkXImnGCuGn39UbwXvmfcsl9J23wzloykpleuIBfly49Qco8BUNr/TJ7asJWSkpI6m8bFxTF8+HCGDh1Kp06dmmUYopb6jHwBnQMFFRS7/JS4/ZS6q5YBgnr9N2JYTSoTM5M4IzX6lNrXXn7nmlNHa9PpGP8kSWqaOv9hCwoK6NGjxwl38vv9Db7DsqXt37+fP/zhD3Tp0oV//OMfddb36tWrTtn/+3//j3fffZcNGzY0+v3MZnOjA96p7NOedbT2QMdrU0drD3S8Np2O7fk5x7+iW/pWJxqOluOb9inYTdifvwglNRotMxG1R2zDDpZ2HiKmK2L1PwFQ989D1T0o3cdCZJc6ExOnpqaG5h4CGDhwIJs3b6a4uJjS0lLKysooKyujtLSU0tJSfGHGIz548CAvvfRSnXKTyURkZGQoAVHVG+L4pcPhICoqih49emC1WhvWzjbSkN85C3D7+D7sySvH6QlQ4QtQ4Q3i8gWo8FY+fMGwX459QcHcTUe5YVQ6PRJacAghnw9nhXFHpdZ3QIv9HQkhjKREIGAkKKqSF34jISGqEhN+P+LIIcT3ywBQdm9DW7cSZcQYlEZ+CT4d48LpH/8s0G0kMBKo/NyzVyG2vAmAtuczlJhuxnwiYAxBFNvLmPOjUqPbk5lC8PJMAp8bFxjIcRJ8byvB97bCgv043g4/pEnfvn3p29eYdUXXdY4ePcqSJUtYuXIlADsOZbHjUFaoTnERDuJEkFifh1hNIbbiCHGvvUR6r95EjxqHEhsHdofxsNSOX+3hM+qZYuGqYfDFpiP4gjoHC12s3F/MGV1jibSasJkbPs55e2hPc+tobTod23O6xT8x7HbE9o/gyOpQmaIHUPI3Q/5m2JeI0vsSsMcZKx1JKBE1ho8blYbp2+uoGPOfUFFw8Gvo/5iAdlaXWu+lmFS0EakokQ08N+rSDXHd7wj+62EAYrZv4q6pU3n+47kUl9eevLq4uJgFCxawYMECEmJiOGPgAAafPZzMzMxmSTo052dkscCg7rY65UIInN4AJS4/BU4vhwoq2JfvxOk1riV5Azrzf8pFUTWGpTWtV93p+Ld1Mh2tTR2tPZIkhVcn0dCpU6cTdpMMBoMsX778pMmI1pCfn8/NN99MIBDgpZdeIj6+Yf+c7HY7cXFx5OXlIYRo8UmKJEmSpNObHmkm9+EhpDz6Y3WhO4D75i+N5zYTEUt/g+ns1LD71xHbExL7Q8F24/XBRYiDi0CzIKK7Q3R3lJgeEN0NIlJQTNVf3hwOB+ecc069h/Z4PKEERGFhIXPnzqWsrCzstoFAgJKSkrB30oWjqippaWn06dOH3r1743A4GrxfVFQUUVFRWK3WdvF/12E1MbhbXL3rhRD4Anoo6VDhDbAlu4Qdx4yf5cfrs7h5bC/sZg2LSW0XbToViqJUTxxtqzsRba1WDRhMMPcYYr9xp6i+aB6sX4U64RcoZ5xVJ0kmtV+KoiA6nw2ViQYAseH52htZImHI7U16H8dbV+B7axOBBfsILDsILmMiSP97WwjceBamsWkn3F9VVbp27cq1115Lnz59ePPNN2ut9/v95JWUkhdu56Kf6P7jdgZYNfpZTXQ2qzg0DcVmJ1NVCZgtKNs3EIyIAJuRiFCqEhI2O4rDAdGxEBmN0sJDMfXvEoOqKHy03kigrNxTwMo9BQBoqkKk1WQ8bKYaz81EWk04TEanKDnmuSQZFEskypAbEekToXg/wnkMcjaCt3JYNncBYutbNXZQEb0uRkkaAJGdUSyRmM7tjuW7GfjOrx4q2vvQ4rDvp/ZLJHLT71DMDYsTiiMC4hOhyPgbT/56Ln+KEGzVrHgF6EKwwxtkuzdIVX+twtJSlqxazZJVqxkYG8X5AzJRE5KI6pFOSv+B7XaIJUVRiLKZibKZ6Rbv4MzucQghKHB6+d/mo2QVuQCYt+UoGw8W0TXeQdc4O72To4iw1t/rRJIkSWq/6kTvyy67jH//+9+88847XHfddbXWBQIBHn30UQ4ePMhdd93VapUMp7y8nJtuuoljx47x73//m/79+zd436pxr1NTG94tWZIkSfp5K7+kG93O6IO6v4TA0oME5u+pXukJ4L7xcxxvXWGMQW43ofZNrPd/jKIocNbvEHu+hEPLQK/shRD0QfFeKN5LzXvphTUGIlKMpEPlksguxuvj3sNms2Gz2UhJSaFPnz7079+fDRs2UFZWhsvlwu1243Q6KSwsxOfzIYTA7Xbj9XpP+jPQdZ39+/ezf/9+FixY0NgfIWDczRQdHR1KPJzoeURERPPPLdFAiqJgNWtYzRpVtzFkpETx0pI9FFX4cPmCPLdwd+W2YDdrxsOiYavx3G7WsFmqXpuwmzWSoqzYGnhBor1Rp/4afeE8xI/rjaGcykrQP/8Qvl+Gev4lqL36tnUVpQZSTFYYdB1i6zvhN/A50dY/gynx1wS0U+u9o0RZsd45EuudIxHeAJ6HFuGb9T0AFRe+i+ODX2Ka0rC7c0eOHElKSgpbtxrDjBQVFYWW9cWvLL9Oll/na6eR4IhSFZJNTlJMKsmaSvKxXFLNKokm4yJd+AE+FIiMgphYlOgYiK65jIXoGIiMQmninCWZnaM5v38nvtueU6s8qAtKK4ciqY+qWIg1Cwp3F5CWFEVqrF1epJN+9pSYNIhJQwHEgGlQuBuxb171TR5VhA57v0Ls/coYUmnADJTuY9BGd+fIiyOJfX8fEWvy6wsQ6DsKcP/mc+wvXoQSWzdhH7Zu/QcjVi4KvXaoCiMc1TFkXKQxefQP7gBbPUH2+KqTDj+VlPPTqvWhbS0mjW490ujWrRvdu3ene/fudO7cudbQ0e2JoigkRdm4enh3/vXNzlB5TpmHnDIPGw4aQyrdMSGDSFv7bIMkSZJUvzqRe+bMmaxYsYLHH3+cjz/+ONS16S9/+QsrVqwgJyeHzMxMfvOb37R6Zat4PB5mzpzJzp07+ec//8nYsWPrbFNQUMBtt93Gvffey4gRI0LlgUCAxx57jGAwyKWXXtqa1ZYkSZJOc9rFfbBYLFjuGon/0x3oO/Lxz92Ovi0ffVs+zrOr5/0xXzcYx5tX1HssxexA6X8NotfFxhAmJfuh9BC4C+pu7C01HkW7a3/PdSQhUs5E6XQmxPUOe0d5dHQ0EyZMqFVWc+zlQYMGYbFYCAaDuN1uXC5XKCFRc5mXl8eePXvIycmp8x6N4ff7KSwspLCw8KTbKopCREREvcmImgmJ1uihqKoKZ/WIY+H23FrlQoDLFzTmfKioZ+carCaV685Np0sDL0i0J4ojEu2yqxEjxqIvmofYUzmHV+5R9PdeRYyZhDbhF21bSanBlO7ngS0OUXLcRNG5m6HsEIoIMCj/bYptvVCyChEp/SHy1G7UUawmbH85D98rG6DCD74grl9+hPVPY7D9fWKDjpGenk56enqdcrfbTXFxMSUlJRQXF5OTk8P2TT+QnV87npbrgnKfYJ+v9rwOqSaVs+wmzrBpRGsqdgW0UBsFOMvAWYY4Eiqpy+4wej9ERUNUdK3nSmRlmd0BVlu9P79zeyfSNc7OrtxyKrwBnJ4ATm8Ap8dPxQnmlNGFQpFP4fv9RXy/vwiASKuJTjE2UqJtdIqx0TnGTkJDh3eRpA5GUVRIzERJzEQU7jTOp4QOOT9A+ZHqDfWA0dtBAVJG4B6ehHt4EgOiuqHM24soq05qVp3/Afg/3Ir/45/QhnZBG9sD03lpmM5LQ4kIP0yMOvZ8REwcwhm+xylALDCh8uF2VbBl127m7jmEM1g7fvkCQfbt28e+fftCZSZNo0tqaijxUJV8aE89HxwWE78d3ZMfDxeTXeQir7z6Z+sN6OzJK+fM7vX3PJUkSZLapzqJBqvVyttvv83jjz/OZ599RjBonNTOmTMHRVG45JJL+Mtf/tJmYzT7/X5uv/12NmzYQGZmJseOHeOFF16os92UKVOoqKjguuuuY8SIEZxxxhkEg0GWLFnCgQMHOPPMM/nd737XBi2QJEmSTneKScPyq4EAmKf0wzn8VQjU/uLnf2cznm4xmK8fgtojBsUU/g52xRoFvSaHhqgR/goj4VB6yOjuX5FrPHzldXd25cOBbxEHvoWoVMi8CpIGntJFQE3TiIyMJDIyzCTHNZSVlbFnzx6ysrJC5wgnEwwGKS8vp6ysjPLycsrLy3E6ncY48ScghMDpdOJ0Ok+4HRjDIiYnJ3Ps2DH69OlDp06dMJlMmM1mTCZTs325HtkzAZOqkl/uxeMP4vYHcPuCuP1B3L4g3uN+D8LxBnReW74Pq0kl2m4mxm4OLaueO0xGAqO9drxUUjqjTb8J/cAe9O/+B8eyARArFhLYvQ21/xCU/oNQElNOciSprSnJZ6Akn1GrTHQ+G7H8Yaouqcd59sGufYhdQFRXSJsAXUYavSIa817RNiK++jWeP3xLcMNRALzPrMZ63yiUmLrjezdU1RwzXbpUj58+depUiouL2bZtGwcOHCAvL4+cnJywQ8kdCegcKffxVY0wa9U07CYNh6pgR8eu69hVxXitYDxXFOyqgl0Fh68ce7mT2LxjmCv/cMNGOFWtnDMiAhxVwzVVPY+gq8NBV3sESnxleXQMis2OrgsqfDWSD94A5R4/eaVu9ueV4Q7WDhZOb4C9eU725lXHz/MykhiXKf8mpZ83JSETEjKNng59LoOs5QhXHpQchKJdAIi8LZBSfbOimhaL5ffn1jqO9eFxeJ9ciffvy8ATgKAguO4IwXVH8D29GqVrNFGbfxe2l4NiNqMMq38YzONFAudeBANKS/l++XKc+bnoP/1IYVDnsF+nMFg72gSCQbKyssjKyqpVHmu1EG+zEO9wUPTDOjonp9ClSydiE5NR7HZjCMWomBYfLq5Kt3gH3eKNYTi9/iDLdufx/T7jRpQvfzzCuv2FRsI0xkanaBvJ0TbsjZi3RpIkSWp9YfuiRURE8I9//IN77rmHLVu2UFJSQmxsLAMHDiQxMbG161hLbm5uaDK4nTt3hmawP96dd97J3Llz+e9//8uXX37Ju+++i9/vJy0tjXvvvZcbbrhBTkQjSZIkNZk2uBMR82fg/2InBHV8/94QWud9bDnex5ajdIkicv0tqJ2iTno8xRxhzN+Q2L/W+PjC74KKvMrEQw6iaI/xhVhUXtguP4JY/3/QczJKv6uat5E1REdHM3ToUIYOHdqk4+i6jtPprJOACPe8rKwMv7/+YUPAuKP50KFDHDp0KOx6VVUxmUz1PqoSEg3ZRtM0rGYzEVXrLCZMDmO9qpkQqkYQjaCiERAqAaHgFwqeIKzPqr6S6Q3o5Jd7yS8PP+yLXbOQFhGkjz9Iez1lUdP7oNx8F2LVUmPOBoDcY+i5x2DJ16jjJ6OOPb9tKyk1mhLVBc66lWDWSkThbjRRY5L58mxjuKU9X8HoR4xkaSOYzksjYs3NuK78L4Evd4E3SPmAF7E9fj7mSzMaPPRIQ8TFxTF69GhGjx4dKistLeX777+npKQEi8XCrl27OHjwYJ19vcEg3mCQkka+p02BsRFmJkRYiNLCXAzTdahwGg9qJyPCJyY0lJFjUSf8IjTWeU1GD7UCPEGI6pTGsTIfOWUecks9uP21k8Er9xYwqncSZlP7uatZktqSoqjQY5yRdPC7EN/eaawo2B7+Bo9a+yrYHhiD5VcD8D63hsCSA6EeDgAiuwz3zP9h/2AqSjPd7BATE8PkylEZRO4x9O+XIrIO4CosINsfJMtvJB4O+4PkBUSdmFLi9VHi9bG/1MmGY9Wz24y0m5geazV6cmkaJCajJHdGSe4MKZ1RkjsZw8W14AV+q1ljUr9O7Mopp6jC+J9TNZwSh6u3s5hUYu1m4iIsRFk1XE4NhyZILvOQHGMMeSlJkiS1nRMOehcfH8+4ceNaqSoN07VrV3bt2tWgbW02GzfccAM33HBDy1ZKkiRJ+lkzTeyJaWJPAGzP/QLPXV/je3WjMUMnII6W45+zDeudI0/5PRSzA2LTjAdGr37hc0LeVsShRVA19Mn+BYjOZ6NUbtdeqapKdHQ00dHRpKaefBJtj8cTNhlRXl7OsWPH2LdvHz6fr979dV3H5/OdcJvWoDliiOo1FGt0PJo9CiwOqGcSZXdQYUeZiR2L9hFtMxEXYSHOYSHWYQk9j3NYiLC27d19iqKijJ4AUdHo61bC0eorAvq6lShjJrVZ3aRTp3Q+Gz1hMFu3bMYeKKRPgkDL+wFK9hsbeIoh9wfofl7jj60oWGYMNhINgDjmxH3DZ7jtJhxzr8F8Ye/mbEotdrudpKQkkpKSGDRoEFdeeSUFBQVs3LiRw4cP1xk2zuVynTTRWZNHwLdOP986/dgsZqKsVqLNZqJMKlGqQhSCKHSig36i9CBRmkKUqmBTCP93rAcRq5cQ3LsTdfyFKH3D91qzaZDZKYozuhtZSSEEZR4/uaUePlxn3NUc1AVvrT7A5UNSSY4+9R4kktQRKWYHousoyF4FAQ/a+qfpoqRSau0Bev3zQao947E/dxEAen4F7tv+R+BTY1hB/5xtBFYewjQ2zRhSaWwP1H5JzfI/W0npjDZlGgBR5WVkHj5A38MHoawE3G7cFRUcLSklq7yCbLeXXH+Q3IBORZiM5hp3gADwmzgbBIOQewyRe6xWokLp0w/1mt82W9IkHFVVuPrs7qzam8+xUg8F5d46yRJfQCev3FtjqCXjktaG1VmoCozsmcik/nXnMJMkSZJaRyjRsGjRIjZs2IDT6SQ5OZnx48czcODAsDvt3buXRx99lHfeqWfyOEmSJEn6mVJMGvaXLsFy5whcV89B/8m4Y0w/VNr872WJhK7nQOpI2POlMbk0AvHDy5B+AaQOR7E07m7j9qpqkuukpKQ663w+H1u2bKG0tBSz2czhw4cpLS0lEAiEHn6/v9br4x+6fvIhj5pD0FVKydbFtcpUix3NHoVmizSW9kjM0UlYE7uFtinzBCjzBDhU6KpzTE1ViLKZjLudrSYibebK15VlNhORVjM2s9qiX7zVwcNQBw9DlBQRfP5xo7dNhROOZEFy5xZ7X6mFKSpucxKixyDUPr9AHFyM2PY+AOLQUkg9F0Vr/ETIpsv7Yn1gNL63fkTkVA7v4w7guXMe2vc3oyY4mrERJ5aYmMiFF15Y73q/34/b7Q6bhKhZVlpaytatW0PDynl8fjw+P/n1Hrlap4R4zj9zMMN7dMXk9SBcLqgoR2zbDHoQ8o6hf/QWJHdGHT4KZdBZKJb6h65SFIUYu4UYu4Wbx/bindUH8AZ0jpa4eWXZPkb1SWRsnyRMmuzdIElVlL5TETkbIeBBceWRQh4pFZsQyxciel8MPcafMN6pSRE43p+K+/Z5+P+zCTASqf6PfsL/0U/GNgOTiVz2m2btvaVERaP0Hwz9B4fKIoGMyofQdfB68JeVsXXjBkqLi9BUjdzCQpZt20FA19ngDrA76CXdbiEl6CfZpJBiUkk2qUSqCmLPDoJ/vx86d62cfyYmzJw0MRAREXbOsIZKjrZxxVnG+Y8/qJNX5iG3zMOxUg9FTi8lbj8lLj96mOE3dQGr9xWQXexiTEYSvZIiZcJBkiSplZkCgQB33HEHy5YtqzVW8uzZs7nxxhu57777QmVOp5Pnn3+eDz74oMHjMkuSJEnSz5GWmYTjw1/iHDQbAP/bP2K97WzUnvHN/l6KohhfgI+uh4pj4C5AbP8AdnwEfS6D3hd3+C9aiqIQGxvLoEGDGDt2bKP313W9QQmJ5ljvdDopKSmhrKwMIQS6z43uc+MvzatVJy0ilrjeQ4lN7YlusuGp59QrqAtKXMYX7xMxaypd4+ykJUaQlhBBl1h7i1xkVGLjUS/5JfpXHwMg9u2WiYaOpMc4OLQYnMegLAux/jkYdgeKqXF3yCsmDdtjk7D+fQLB1YepmPAWBAX6vmLKez+H1i8RtWc8au941J5xqL3iUXvFoaS0/oUjs9mM2WwmOjr6pNsWFRWxaNEiDh48GOqB5Xa7T7pfTmER7y5cwn/NZux2O1ar1XgoUVicxVh9HqyKgrXkINa9B7GaP8bW/wxM3dLIy8vDbDZjtVqJiIjAarVis9lCx+gSa+f6c9OZu/EwhRU+dCFYsTufXcfK+O3onnKoEUmqpNhi4OzfI3b8F1FyEKXyfnrF70Ts+AgOfgc9JkL3McZQl+GOYTHheO1yAjMG431qJYGVWeCs7k2p/5RHWcKTqAOSiPhyOmpay094rFTNDaOZIKUzMSmdGTRoEBaLhW7ff89bb70FQJnPz2Zf3XOJGFWhv01jgNVE5pHD2NUTzEOjaShnj0a78LIm19usqaTGOUiNq5141oXA6QmQX+bip937cQUULFFxbDtWjhCQVeTi/TWH6BbnYNqIHtgtMsZJkiS1FtN///tfli5dSv/+/bn22mtJTEzkwIED/Oc//+GNN95g8ODBnH/++Xz22Wc888wzFBQUkJyczD333NPWdZckSZKkdk3NTERJiUDkViCK3JT3eR4lzoY2Ng3HR1ehNOPFHUU1wbDbEZvfqB5GSQQRuz8DVx70+5XRA0IKS1VVLBZLq87fFAwGKS0tpaSkhJKSEoqLiykpKSE/P59NmzYRrCihYPMiCjYvAiAiOobU9AziUrriiEtCs0fjxUS5J0C515iU+kT8QZ0DBRUcKKgAqntC2MwaNrOGvXJpPNRar+1mDZtFw2bSsFtUtJMMnaB0Sws9F3nHmvaDktoVRVFh0PWIdc9C0AuFOxDrn4eR959SAkBRVUyjexD5/c1UXPweIt8FZV6Ca48QXHuk7g5RFqy/Pwfrw+PaZQI1Pj6eq66qPU+O3++vM+9M1aO8vJz8/PzQPBF+v7+BQzX5YdUaYE2oZMGCBWG31DQNh8PB6LHn0b/P2azaW4AuIK/cy78W7GRCZgrd4x10jrWd9G9bkjo6Jb43yqiH8DkLyf5xAbGeA8R4DxhJB3cRYucc2PMF9Lqo8kaO8H8zpvPSMJ2XhggECf5wDO+TKwl8Xj2/pL4tn/Jez2GePgh1QDJavyTUAUmo6XEordjTaOTIkeTl5fHjjz+Sl5dHIBCos02pLvjeFeB7VwAVGGDVGB9pJsMSZujGYBCxZhmBdSshIRHMFjBbUCwWMJtDrzFbwGJBqVlmsdS/vcUCJjOKqqIqCtF2MzbNTonD6JE6aFBnBneP5+utx0JzPBwudvHUNzvoHu8I9fAMt7TIeWsk6aSWLl3Kf/7zH7Zu3YrH46Fz586MHTuW3/zmN/To0aPO9itXruS9995j06ZNlJWVkZCQwNixY5k5cybdu3cP+x533HEH3333HSNGjGiWEXQ+/fRTHnzwQWbOnMnvf//7Bu3jdrt5//33mTdvHvv27UPXddLT07niiiuYMWOGnOu3AUzz588nISGBd999l4gIIys/ZswYzj//fC6++GJmz57NG2+8webNm7FYLMycOZNbbrkFh6P1ujNLkiRJ0ulIUVXsb1+Je9ocRLEHAFHsIfDFTjy//wbbCxc164UyJbIzyqiHEOXZiKzlcNC4QE32KkTuJkTKmSiJ/SG65cY/lxpO0zTi4+OJj6/by2Xnzp288847FBYWhsoqykrZvXk9sD5UZjKZSEhIwOFwEBcRhTUyGrMjGpM9Esx2MFkJqBb8aJT7oMJfPURUVU8IaPj481XMmoLdrNEzOZLRvZNIiDxuCJeEROPOyWAAkXu00ceX2jclvg+MuBex9mkI+qBoF2L5w3DWrShRXU/pmNrQLkRuuBXPfd8SWJ2FOFLPRKzlPryPLsP/3ha0c7uhpsehpsUaj/Q4lK7RrXqRriHMZnO9f+tV9u3bx6JFizh69Cherzf0CHfRr7GCwSDl5eV8Pe9/DB58mPGjzmfRIWN886Au+G57DgAmVSE+wkKkzUSk1USE1Uyk1XheXWbCEe7ioiR1NJYoiu19Kbb3ZVCPWEz7v4L8rca6oA+x+3PI2QidhkLyIIjuHjbpoJg0TMO7on1yNd4/LcT/9R70rdU9GP0fbK29g1XDdH4v7K9dhprc8jeIKIrC5ZdfzuWXX46u6xQWFpKbm0tOTk5oeeDAgVACVAe2eoNs9QZJTUrkosEDGZwYh+osR+zeDs4y48B6EPJzQ+8TtvfDCcrrZTIZiQe7AyVzIFpkAsHKYeR6J0dx+4RIdhwrY97mo7j9xg0YWUV1h52syWpSayQeag5BaQxJWbVODjUn/Vy98cYbPPXUUyQnJ3PFFVcQFRXF7t27mTNnDp988gmvvfYa55xzDmCcczzyyCPMmTOH6OhoJk2aRHJyMtnZ2cyfP5+vv/6a9957jwEDBtR6j4qKCpYvX05SUhLr16+nqKjohOdNLeHw4cPcdNNNHDx4kMzMTKZNm4bZbGbjxo08+eSTfPvtt3zwwQeo8qaMEzLt2rWLCy+8MJRkqNK5c2fGjx/PvHnzAJg8eTL3339/gyZslCRJkiTJYD6/F6Z9d+N99nu8f18WKve9vJ7gxqNY/3Iepl/0ad6EQ1RXlAHTETE9ED+9b9x17HcZCYfsVZiATC0OrykWdfduRFRncCRBRDLY4lFU2cW8rfXs2ZOpU6fidDoRQrBjxw727t2L0+mstV0gECA3N7eeo9Sl2aOxJKRiT+qOJTYF1WIDzVzvhNT18QcF/mCAH7NK2JxVQt9OUZzRNZY+KVGYNNX4HUruBMeyoagAGjGZrnR6UOJ6Qe9LELs+NQqcRxHLH0F0Gooy5CYUrfF3fKldY3D81+gNINx+9APF6PuK0fcXoe8rJrihupeDvr8YfX9x3YOYVNT0WKwPjMFyw5mn3L7W1qtXL3r16lWnPBgM1ko8eDwefD4f7h0/4dm4Bq/Hg1cIvAI8qoo/MQVfRDQekxmfz4fH48Hr9ZKdnY0Qgs2bN7N582ZShoxH65QBNT6ngC6Om2Q1PEWBCIuJOIeFHokO0hIi6R7vwCzvCpY6quhuqMPvRjhzEAcXwqGlgICyw4iyw7D7c7BEQ8ZlKD3Ghz2EoijYHj8f2+PnE1i8H/fdX6PvKDAmFqjJGyTwv904B83GPH0Q2lld0M7qbPSSbeEL3aqqkpSURFJSUq35On0+H7t372bbtm388MMPlJSUAHAkv4DXFi4lISGBiIgIzGY7Jp8Hs8eFCTAJHbMQmAGTAmYFTIpS47VSWQYmjOdmRTFeK2Cmen2o3O9HDQTA7UJZvZR+JjP5PTMhow9YLKiKwoAuMcRHWFjw0zFySj14Ayeeh8sb0PE6vRQ4Txz77BaNSKsJu1nDbqnuCWq3VPf+rFVeuVRVmZiVTl85OTnMmjWLtLQ05s6dS2RkdQL0wIEDvP7665x11lmhsqeffpo5c+YwevRoZs2aRUxMTGjd0aNHefvtt8nIyKjzPsuWLcPr9XLXXXfx0EMP8e2333LNNde0bONqcDqd/Pa3v+Xw4cM89NBDzJgxo9b382+++QafzyeTDA1gqqiooFOnTmFXdu/eHUVRePfddxk2bFgrV02SJEmSOgYlxobtr+OxPjgG1+UfEvhuHwDBdUdwXfqBMe54XD2TAmoKamYS2oiumEakog5MRjE1LBGgdB0Fif2NC4FH14NefbHXHizGHiyGQwdq302maAh7AiQNROl/tTEkk9RmIiMjGTRoEOPGjUMIQWlpKdnZ2bUeJSUlDRoDHiDoLsOdXYY7e0etckUzo5itqDUeiqnquQ3FbEE121DNVkxWO5rFjmKNAM2EAHbmlLMzpxybWWVU7yRG90lCSe6EOJYNQkBBXvgKSae3HhOgcBcU7gRROXRXzkYoGAUpg0+870kodjNa/2S0/sm1yn2vbsDz92WIo/X0eAjo6HuKcN/4BcEd+VjvHIHaNSb8tqeBqmGP6vQmz8hAXHQp/h/WEli2AIu78o5dd6HxiIhCSe+NktodJbU7m3Lyee/DD6moMIZOy/1xCbAEU2Q8lvjOWOK6YInrhGaLRNFOHPeFAKc3gNMb4HCxi5V7ChC6juYtJc4C3RKjGNAzlZ6dE+UFNqlDUSI7oQycgegyArHtfSg7XL3SV4b46T3Evq/BElVdrpnBHAWWCLBEoZgj0PpEEvndaIRuQ88Kou9xEdxdir69gMAXO0EXiAIXvufXVh/HbkIb0RXboxMwjQo/7EhLsVgsDBw4kIEDB/LLX/6STZs28d1334WGfCssLKzVA7OlGYmJ6uSD+cgaTKvXYbY7sNjsWCMisERFY3U46G6xYLbajF6eZhvCZCWoWggoJnxCw6ereILgCghOko/A7QuedJjKcKwmFbtFw2Ex0a9zNCN7JsjeEdJpY+PGjQQCASZMmFAryQCQnp7OY489Fnq9b98+3nrrLVJTU3nhhRfqnLt06dKFBx98MOz7fPPNNyQkJDB16lSeffZZFixYcNJEwwMPPMC6detYvHjxKbau2quvvkpWVhY33XQT1157bZ31kydPbvJ7/FyYgHozMppmXMiQSQZJkiRJajrFasLx9QwC83bj+fMi9J+Mi6/6vmIgzJ25lYJrj+B/+0fjhcOMdnYXzL/og+mKfmi9E078nrY4lME3IgZeB8V7EQXbEfnboOwwCmG+UYmgMafDocUI3Q/9p6GYrHW3k1pd1YTXsbGxte40BOOuZ7fbTUVFBS6Xq1HLQCCACPoRQT+6x1nPu4epj8lMRI8ziEgbjGYzesZ6/DqLduRi0hQGJqViY4Oxcf4xUOTvUUejmO0oI+5BBNyIVf8EZ+UwWa6CFntPyy3DsNwyDOH0oh8qNXo9HCwxlgdKCK7KQhQYF919T6/G98xqtPHpWO8aieniunfQnc4UsxnOHM4uoZG6/Qfisg+iiMq4XlGO+GkT4qdNAJyhqvwjI5VNcZ1Zvv8QR44cMSavdxYRcBbhytpWfVyTBdXqQLM6aiwjUK12NGtEqEyzVV9wUFQV3R5HIVBYDD9uzEUEj2ATHs7rn8o5md1a80cjSS1Kie+DMuavCFcB5P9kDKPkq0x+ViX76nH8UEEqoMaBaYQCYyLQL4/C/bgZfddxW7oDBJcepGLcm2jndAaTCSXCitI5CrVzJEqnKNROkSidI1E7R6F0ikSxNv/NIpqmMWzYMIYOHcq2bdv4+uuvOXz4MH6/H10/yZX6ZhIQEAA8osbPKBg0PoPSepLQDaCYzGjWSFRbBCZbBOaIGMz2KEz2SFSrAywOMFmhkT1/vQEdb0CnxOXnaImbjYeKGNc3mUFdY1HlMHRSO2c2mwHYvn07QogT9sL/+OOP0XWdm2++uVHD7bvdbpYvX86FF16IqqqMGTOGr776iuLiYuLi4prchpMJBoPMmTMHq9XKrbfe2uLv19GZADnGpiRJkiS1EkVRMF/SF9NFfQh8sQvvv1YS3HC0/kFqj+9S7/ITXHaI4LJD8MBC1IHJqN2Nu3VNk3pi+X8jw/5fVzQzJPZDSeyHr+elbN2yGUvQSWb3eEy+YoQrH1z5UH4UKion7z28ApG7GZHQF0x2MNtRTHYwOSrvDHMY5ZXrqp7LoZdan6ZpREZG1rnT6GSEEPj9/gYlJI4vc7lcOPdtxLn/B6wJ3UgYcXnouAt+ymEB8XTqeynn5G6l365tkHnWCWoinc4Ukx0GTDfmbABjEnrNBJ2Gttgk9EqkFW1AMtqA2j0ehBB4fvc/fK9trCyA4OIDuBYfQB2UjPmty8Mc7fSmmy0cHjyS2Km/Rju4F7FzK2LvLgjUGLJM17HkHmVE7lFGDjsXddqvCHbphi8QCA2v5PF4aj0PvyzDU2Js5wmC3xqD7khAjU5Bi4itVS9FM+Elkm93l7L6pwP06xzNiAE9SYiNbt0fkCS1EMWRCD3GQZezEeuehZKDYbZq6CwEAnxO1HgnEf8CvVRF328muM+CvtdCcLcFUWACXRBc1bC5j5Q4G0rnKCP50D0W0SOaSK0cf6oD0akC0cV8yteCFEUJ9XKoEgwGCQQCoUntq57XLDv+9cm2Cbdt1XOfz4fH5UL3+QjqQfziFOZ8qEEE/AQCxVBRjO9EG6pajR6gtsoeoUavT9ViC/UQ1cx2NJsdrXIbNAsoCiUuP59vOsLy3flcNKgzvZKjTvRuktSmRo4cSWxsLGvWrOG2227jvvvuCzvUI8DatUYvrIkTJzbqPZYtW4bb7WbcuHEAjB8/ns8//5yFCxdy1VVXNan+DbF7926KiooYNWoU0dHyHKWpTABvvvkmc+bMqbOyahzgqg+7JkVRWLJkScvWTpIkSZI6KEVVMV/RD/MV/U64nfD4CW7KIbg2m+DabALrjiAOloTW6z/lhXpGBObvIbj6MJbbh6Od1Rnl+Al6a1cAnykakdAPxWKh5tdMceA7xPaPML70lsGx6smHG/IFTmjW2skHswOs0Sg9J6NEybme2hNFUbBYLFgslkbfMeR2u8nOziYrK4vDhw+zYeVHJAy/DNVSPQxYjiORz9LHk7blAyITuuBMCj9cp9QBxGdAbDqUHICAG7H1HfjpfURif5SUwcZwbI6kFq+GoijY/30p1j+Mwvf+FvzvbUHfWwSAvjUP79DXSPxlGiLChL9XOSLWjhJpRYm2okRZIMpYGq+tEGlpd5NL18vuQB08DAYPQwSDkHcMceQw4kgW4kgW5BuTPosNqwluWA0WK9ZeGdiGj0ZN693kt88tLGbLniwO5BSTX+HHqznQHEYi3GmJZ30hrFt2ENVdSnqsiWnnD8ekycS0dPpTzBEoox4Ku04EfeBzGg+/s9ZzEXpeYdyN76tcBr2oMTrqmV5MZ3orjwO+OdH4PosCd8Nikij2IIo9sD2fqgF/qv4Le1iJJ9KC2jMONS0WJTkCJc5uJCdiK5dxdtT46ufEWFFOMD65pmlomobV2jo9GH0+H1u3GpNpD+rXD1NJIf4jh/EczcabcxRf7jF8Xi9eAT4h8FUu67zWa7xO6YLPasPn8+Hz+fB6vbWWAOhBdK8L3XviSaaPZ4qMJ7r/GGxJxtBXRRU+3vv+IGk2N9eeP0yO/d4Obdy4kS+//BKPx9PWVWkwm83GZZddxtChQ5vleNHR0Tz33HPceeedLF68mCVLljBu3DhmzJjBqFGjaiUrDx06REREBMnJySc4Yl0LFizAbDYzZswYAEaPHo3ZbOabb75plURDVlYWYMyRJzWdCYyEwvGTC9aUk5PTahWSJEmSJKmaYjNjOqcbpnOqh50I7i0k8PlO/J/tILgmu9b2/k+24/9kO6gKar9EtCGdUWJtKBFmcJhRHGaCVpWowlx0m0Yw204gxh5ap0RYwHEOnNkHceRrlLyNNPr+sKDXeHhLahWL7NWItImgWY2JYlWzcXeXZjHGMFYt9byu3E61yN4S7YjdbqdPnz706dMHgDH79vH8iy+h2+OwJnUnqlf1F5zXMi/jkuwtIBMNHZaiajD8HsQP/4aCymF4RBDytyLyjQtBwpFs9KyK7g7RXSEq1egN0QLUnvHY/jIO65/HEvhqN64Zc8Fl3OEf+8lBAALsJdCQg0WYUWokIIiyokRajLJoK0RVP68qp0ayQomyQNVzc+vEMEXToHNXlM5dYdg5AOirlqAvng9Vw5v4vIgdW41Hzz4omYNQunSDlC4opsYPuZKSEMf5CdUJS7fbzXvfrOaIiEcxGUMvKIqKcMSx3wdPzFnFwM4RDO3bg26dEpveaElqhxTNAvZ443H8unr2EXrAmAyl6lzKU4riLcU2oATL/SVQYZSJ4jLEMSeiUEcUaejFKqJYQxRr6EVa5XMVfPVcwHb60Lfkom/JbWBjgBhbdfKhMiFBjHGeqTjMEGExzicd1eedobKqc9EIS/U6m6l5RtgwmVC7dMPapRtVaQ4hBLhdUF6GcJZBeSmUlyPKS8FZvaSkqEYbK9Du/mPYuWqEEHi93hP2AK1vndvtJuAsomjdF1jiU4nqOxJrfBdQFA56HTwzdzkDusTSp2sSui7k/DbtxLfffntaXg/99ttvmy3RAEavhnnz5vHyyy/z2WefsWTJEpYsWUL//v155JFHGDJkCGD8309MbNz/c4/Hw9KlSxk+fHioZ3ZkZCTDhw9n7dq1lJSUEBsbC8DChQvZsaN6nrkdO3ZQVlbGCy+8ECqLiorihhtuaFQdqua6a8xwT1L9TDt37mzrOrS4jz76iDfffJOsrCySk5OZNm0aN910U2gOCkmSJEk6nWi9E9DuG4X1vlEIpxfhDuC65H1jCKYqukDflo++LT/sMVIqlz42nrh7uLUHOEwodhOKXQWbimJTwF455L5VoFh1sAfRegrU3n7UVC+KcIPfZXxJrungIuDUu7YLRauVeEAzoylm+nj86IqG+uMqdLO1Molh9KxQzA5jEkZzhNG7wlzjuWaVQ0g2k169evHEPx9j165dbN++nVXLPyBp1NUomobTEsm3UZmc29aVlFqUYnbA8N9D2SHEkbVGbyhPjflnXHmQlVfr7184koyEQ0waJPSD2LRmnYReUVXMl2cS8b9fU3HRe+BpUGqhtgo/osKPaI5rDVatboIiqkZviggzmDUUiwYWDcxq9XNT3fKgKnBk5yHMKsHywwQibChm1djGohmJjarng85BzRyCyNoHB3YawytVTiIt9u9B7N9j1FHTjGRD1zTUc8aixNa9QNoQdrudm6+YSEl5BWu37WPX0WKK/SawG70cgo54NpfC5nU5CM8eIhUvFw3tRe+uKSc5siR1bKEYqJnBEglRXUPrjr+CIYQATzEiaxlkLQNfyXHrgQoFPdeEnmtC5JjQc0zouRp6jgmRZ4JgA8+DBFDiQS9pxru7FWonHyJqJimOK7ObUeym0DJoVogqzEVYVYIHrfijbCh2M9hNKLW2jUWJSQRr+KSGEILg27Ph0H7wedHnfYp6yS/r9N5QFAWbzYbNZiM+vnFxUdd1ysrKOHz4MFlZWRw8tJdj5TmYup+Joii4rImsL4T1hcXoPoHqKWVb3nqmTRqB2dz8c21IDXPBBReclj0aLrjggmY/bnJyMo888gh33303n3zyCW+++Sbbt29nxowZvP7664wcORK73Y7L1biePitWrMDlcjF48GCys6tvoDvjjDNYtWoVixcv5sorrwSMRMNnn31W5xgvvvhi6HlqamqjEw02mw2g0XWXwuvwEeuVV15h1qxZ9O/fn5tuuolNmzYxa9Ysjh49yt/+9re2rp4kSZIkNYkSaUWJtBLx/U3oW/MIrj9CcMNRAuuPoG/NhWBTRqsFvEHwBhHF3pMmB0KjgTtsaGemoZ3ZGSXeDnoh5K0Ai0CxiLpLa/XrWuvC3Q8gghAIQqD6hF8BQqPA52fX3eVElVY0RM3EQ42khGKJMu5AtMWHlopmPslP4efNbrczZMgQhgwZwrnnHuTpF18laex0AIosUQT14EmOIJ3uFEWBmDSUmDREv6ugLAvytxmT0BfvNf6Ga6qcH0bk/gh8DprVmBcmuhuKWrNHk7myp1PDXitK7QtEpvPSiM69H+/BIvZu2o5aESA9KRXNFUQ4vVDuQ5R5EeVeRLkPUe6FMi/CaTw31vmg3Nu0uOoNIryu0ITVzaFL5dLH9ydOHNekKmCxGhObigCKohtXMDVAEyhaIaiFYPkRJTEBIuwoEXbjQl1logNLZeKjMpmhOMwoyRGoyREoKZEoKRGoKZHERDu4cOQZXFj51it/3Ml3e0pRrRGh6ii2KCqI4uPNhXTbfpAIvCRH21ttcllJOl0pigL2eJS+VyD6XGpMRO13Q8AFfheKv3IZcKF4nZTkH0UTPqLtJpSAG+GtQOR6EKUBhFNFlKsIpwoVavXrChXhshgPpwrlIMqCdecROxWCUDK36mVjVN8488PJ45+C0YOiRjICuwnFZjJWFtnBJODTzSizDqD0y0SJshvrq7Y/bn/Fbgp/zMolZg1FUVBVldjYWGJjYxk0aFCoSh8vWsf2cmutHruqxQ4WOwf88NIXK/l/V46Vwyq1kaFDhzZrz4COICYmhhtvvJHp06fzyCOP8MUXXzBr1iw+/vhjunXrxq5du8jPzycpqWHDZX7zzTcAzJ49m9mzZ9dZv2DBglCi4YknnuCJJ54IrXvggQdYt24dixcvblKbunUzRg44ePBgk44jGTp0oiE7O5sXXniBoUOH8vbbb2M2mxFCcM899/Df//6XK664ItTFR5IkSZJOZ4qqog3uhDa4E9xknBALlw/9QAmiwgcuP8Llhwo//nI3R/YcQvUE6RSTgObVEa7KL3lV27n8CJevxvPq9fhOcrHY5Se46jDBVYdrFDZu/H/AOEuxKigWwFrZgyKUjNDBrKOYg2DRjdc1khRoAjRQFEAVoFL9UIzXilq1LgBqKSgltbZTVGF8KVVrHMPiAHsU2KJR7NEotigwW40LdmYrWGyhpWKxgdkGVjuKSTMu7GkKqIox5nvlc4573lF6WKSlpXHfHbfw8tcbcaT2Bc3MwbxShrR1xaRWoygqxKQZiYfeFyMCbijNgvIjiPJsKDsM5Udq93wKeiFvC+RtadqknlW9n1SLMTF1ZdLCrJjo1smLjglzbDyqyVojWWEykhSaBSwJYI0Ga0zlMhpFNVUOxeGvnYyofC4qkxU4q5+L8hpJDKe3zn4njactRRe1encIal/EqvWzP1jYtPeyaigpkagpESjJkZyVEsGAZBsbu5exJ0ajABO6w7g7WNFMZOvG/4tdJbBs3jY0vwu7GiTOYeK8M3rSp3uXE7yZJP18KaoJIsL3CFKAgM/HIX/lnAaDBmGxWELrhR6AgBuyv0fsmgv6iXt/CR0IRiG0nqB0QQRsELAi/GbwmRA+E3gAd6DyHNJX53xSuMKV+aHC17RZneutdGV93IHQy9pqXh5zw4pNTX9PValMRJjq9MjAbuZiq4mh8Qo/dTORnWilODYCf0xsaL6rUksis+Yu5/ZLz8Fua525LySpIex2O//4xz/49ttv2b59OwBnn302u3btYunSpQ2aW8Hn87FkyRJ69uzJvffeW2f9008/zapVqygvLycqquUmTe/bty/R0dGsX78ep9MZGsJJOjUdOtHw+eef4/f7ue222zCbq8YFVbjzzjuZP38+c+bMkYkGSZIkqcNSHBa0AXUn4xI+H2VbjYvZ3Y77otkQIhA0vqjV/NKY4yS46ZjRm2LjUcSBkqY3IAAEBKKi8n1DKxSqb71tix4GAiitfLQQDXqpgKLgNs3HXZWgUJXqhMVxiQpFrUpYVC41NfRQNNXY1qRWJzTU8IkOIxFS/RztuPJwyZHj9q/ap5OqkF6STW5qXwB2F/pP3G6pQ1NMdkjoCwl9Q2OTC6EbvRqKdiMKdkDBDmMS+qaq6v1E7eEOFCD0VTUvK/yu9R3S7ABLjcSDNRolOgYSIsBsB5MDTLGVvaPsYLKfdHg24Q3UTka4/eDXwRdE+ILgD9Z4Xlnury4PuH3kHclB8eskxcSj6lRuY2wb2r7qeaCe8nq2b5aLfd4gIquUYFZ1zFSBsysfSoKdonGpvH1ZN4hOqLWrarYizFZcgEuH9zcVYvt+N+P6d2H4gN7yLl9JaiaKagJLFPS8ALoMh5IDUJGDcOZAReXD56yxPaCWo7AZ2GycjpmBmtPuKJox9JMlqsbSeK6Y44z1inrcQ0MoCvgU8AiEW0d4BFQtvTrCo4NXEKjwk5eVA35BUlQCqh/wBBGeILgrl1WvPZUJBk+gMtngr7VsMbqoTqDgDhtSE4FxNXdBMPfmHhy5aDgAFdZE/u+L77n94uFER8ox5KXW5XK56p3k3WQyoWkapsp5na666iref/99Xn/9dS677LKw+wghQudFK1eupKKigosvvphJkybV2Xbbtm3Mnj2bRYsWMWXKlOZt2HHtmDp1Km+++Savv/46d999d9jtatZdql+HTjSsW7cOs9nM8OHDa5X37NmT1NRU1q5d20Y1kyRJkqTTl2LSIMoYZzxkYAqmSb1CL/VCF/q2PITTV/1FzhNAeALG3cDuGkuPsT5U5qkuq/Nl0BMwLrZ1dEFQggCi1h3PJ7rm1xI3/zWHKWadl4f7UE0WAjEpFO09TKf+vU6+o/SzoCiqcQduRApKtzFGjwHnUWNuBz0AQR/ofgj6K5c+xHGvj19f337o/pPepXtClUOQUHEsVHTSvztFRZhsRhKiKhlRlYQw2cHsMBIw9niUQWc1en4KxeejaKtxh3KXU0gcn4jQg+h7dkF2NuLIUcSxHER+AQSpfCiI5FTU7r2h1wCoCCBynYi8CvRcJyK3Aj3PWIpcpzFcVJgfmCh0Ezd3L7d/vpd1UzqTPy2ToxUufFgQlgiwRoS+2CuKgteeyIIDPhZsX02/RAu/HD9MJhwkqRkptljodKbxvEa58DnBeQyK9yGKdkPRbqMXRH1EELylxuP4VQ2ty3F1wFL5AExJ0D2tgQc6/qiqBqigqkaProAKfg3h0xClbkRFELxGwkMEzCiKDaHawacifAp4FWPpUxBewEdlOeDFKPMKhFcYS1/l68okCd76fwIqCle9lsWCQi/bf30uiqrhsycya+EeTJ4SukabmXremURF2Os9hiQ1B13XuffeeykuLuaxxx6jV6/a5+8ff/wxTqeTyy+/HIDMzEymTZvGBx98wF133cW//vWvWj0RSkpK+OMf/8ivfvUrJk6cGBo2aeLEiWHff+LEicyePZsFCxa0aKIBYObMmcyfP59XXnmF1NTUOj0yNmzYwDPPPMPs2bOJizuFnvo/Ix060XDw4EFSU1PDnnCnp6ezatUqfD5fo07I/f6G3YlXc7uG7tOedbT2QMdrU0drD3S8NjW1Pc158eBUyPjXMdoDrdSmKBOMrDu8hXLc8lSIgF55R5qRnAg4PRzYsQfFq9MjJRWTX0BAN+4iCwpEsPo5euWjZlmw5rY11ou6641HEHwehN+D4vdCIADBACIQRAkEjPWBICIYhGAQJRBE6Lpxd3VQrz6eAHQFdCofijEUQZhyRNUwBYCoXFe1XZDq9ZXb1tpOr3zeRux+FfOxXILduqEoKnPmreXW3t0avH9bxz6Q8e/45y3OmmQ8WoDf52XXzu2oIkCfXumYVVErIaHofmMOGF85+MpQfGXgK0fxllWXHT/J/YkIvTpBUc/1uKrLTXrqaPT+v25ce1r6M0rvbTyqlJehvvh45QsBHIasw4gkD+KCy4DqPmfHEwEdClyIvArEMSf6jznoa4+grzsChW7MQRg19xhKdBJ7ftcDMC5a+AJBDh7LZ8Oeo2R7baEhRbDHsqMC3l/wPVdPPLv5295MmvIZyfjXdjpae6A52mSByB7Go9sEI745j6K4co3eDv4KFF85+J3gc6JULvE5UUQL9hpoNFGddNZrnJOaQTEDEcdv7wHKm7cGAqPXhq8qYQHCp1YmLhRwK1y82IVzvoXDl4wAQFE1go4EDgXgha/Wct+V5zZrnVrC6R7/fu5UVeWcc87hqaee4pJLLuHss89mwIABmEwmtmzZwpo1a+jevTv3339/aJ8HH3yQ0tJS5s2bx6RJk5gwYQIpKSnk5uaycOFCPB4PU6ZMwefzsXjxYrp06UJmZmbY9x8wYADJycmsXLky7JBGNedrOJFVq1aFneg5JiaGO+64A4DY2FjeeOMNbrnlFh566CHef/99RowYgcViYfv27axatYo+ffrg8zV4NqyfLUUI0V5vgGuygQMHMmDAAD766KM66+655x7mzZvHihUrSE6uO6xETT6fj62VdwpJkiS1lbaYiErGP0lqGYoIogofmu43lsKPKvxowocidONB5UNULznudbhtwu6j66Aby9AjWLUUxnZBHUUXxnZBgSr06uRHVRIjTCJEVCUyglQnNSq3E0Fj230V0Xx07hRUm4P4HZs5d1L4LxThtNUkfDL+SfVRdT8m3YVZd2HS3Wi6F034qpc1n+s+NOFF1Y1ylfp7ZBXY+3M4ZlzrNeQUWSqcxB/eR0zOYWxOY5ir/LQMjg4cdmoHFALrthI6P7ABU56H0it6kP/gGWE39foDbMkq4ljAgRppDLOU6D7MyN4n/j53upLxT+oQhEAVAUy6G5NwY9I9aLoP0FEq75RQEMaj6rwl9FxUntMIFIybQJQ6+9Us11GEMPYLnQeJGuXVx1aofC3CH1vVA8a5kNBDXStae9SUo18OZ9seN1snpFLepyuq3bg7XCk7xsX94lu3Mq1MTsLcfmRnZ/POO++wYsUKDh825uBLTU1l8uTJ3HjjjURHR9fZZ+HChXz44Yds3bqV8vJyEhMTGTVqFLfeeivp6eksW7aMW265hWuvvZaHHnqo3vf+61//yocffsgzzzzDJZdc0qh6f/rppzz44IP1rk9NTa0zkXR5eTnvvPMOCxYsYP/+/YBxo/qll17K9ddfH3Y4KKm2Dp1o6Nu3L2effTbvvfdenXV/+MMf+OKLL1i8eDGpqaknPI480ZIkqT2QiQZJklrVcV/Uwy5PlAA5bhtnjpv9+4N0Orsv5ug6twvWS15okzoMIVAIhpIPoaXwoaNRbu2GUE6vDufW8lLMHhcV8ckILVw/hoZTKgLYtxThPjMBYTv5sbLyS3H7gvTpHIeqdswxk2X8k6S2Z6kox1pRjjMhBaGqVCcrKhMUocTFiRIjVc/FccmP2omQ6uSHjsccj8uUjO3HIoKJNrypDnJKnBQ5vaQlRRFp79gXPGWiQZJOT6fXmWwjWSyWertnBQJGV7nGZqMyMzNDE0ufiN/vZ+fOnY3apz3raO2BjtemjtYe6HhtOt3bI+Nfx2gPdLw2dbT2QMdrk9/vp3jnTrqln57tkfGvY7QHOl6bOlp7GNnwNg1qzXo1wen+Gcn41zHaAx2vTR2tPVBPm2p08BrcRvU6VR3xM5Ik6cQ69KxZ8fHxFBUVhV1XWFiIpmnExsae9DgduNOHJEmnEZ/P1+rxSMY/SZLaWlvEPpDxT5KktifjnyRJP1dtFf8kSWqaDj100o033siaNWvYuHEjNput1rqxY8dit9tZsGDBSY9TUVERysJKkiS1pUGDBrXqxFgy/kmS1B60duwDGf8kSWofZPyTJOnnqi3inyRJTdOhezSMGDGCQCDAqlWrapXv3LmT3NxcRo4c2UY1kyRJkiRJkiRJkiRJkiRJkqSOoUP3aMjLy2PSpElkZGTwwQcfYLFY0HWdO+64g0WLFvHZZ5/Rv3//kx5H13XcbjcAJpMJRemYk41JktT+mc3mVo1BMv5JktQetHbsAxn/JElqH2T8kyTp56ot4p8kSU3ToRMNAG+99RaPP/44GRkZjB8/ng0bNrBx40auv/56/vSnP7V19SRJkiRJkiRJkiRJkiRJkiTptNbhEw0Ac+fO5fXXX+fQoUMkJyczffp0brrpJlS1Q48cJUmSJEmSJEmSJEmSJEmSJEkt7meRaJAkSZIkSZIkSZIkSZIkSZIkqWXIW/olSZIkSZIkSZIkSZIkSZIkSTplMtEgSZIkSZIkSZIkSZIkSZIkSdIpk4kGSZIkSZIkSZIkSZIkSZIkSZJOmUw0SJIkSZIkSZIkSZIkSZIkSZJ0ymSiQZIkSZIkSZIkSZIkSZIkSZKkUyYTDZIkSZIkSZIkSZIkSZIkSZIknTKZaDgFH330EZMnT6Z///6MGzeOV155hWAw2OD9S0pK+NOf/sTw4cMZOHAg11xzDevXr2/BGp9cU9rk8/l45ZVXuPDCC+nfvz8jRozg/vvv59ixYy1c6/o19TOqadeuXfTv35++ffuydu3aZq5pwzVHm7Zt28bvfvc7hg4dyoABA7jsssv47LPPWqjGJ9bU9uzZs4c77riDoUOH0r9/fy6++GI++OADhBAtWOsT279/P88++yxnnnkmEyZMaNS+7TEuhCPjX20y/rUOGf9qk/Gvbcj4V5uMfy2vo8U+kPHveO0xLoTT0eJfR4t9IONfODL+tbyfQ/yTJKlxZKKhkV555RUefvhh7HY7N910E926dWPWrFk8+uijDdrf4/Fw/fXX89lnnzFmzBhmzJhBdnY2v/nNb9iwYUML1z68prSpvLyc66+/nmeffZbevXtz8803M3ToUL766it+9atfUVhY2AotqK2pn1FNQggeffTRUz5Jay7N0abFixdz9dVXs3btWiZPnswNN9yAEIIHHniAL774ogVrX1dT27Nnzx6uvvpqli1bFmpLIBDgb3/7Gy+++GIL1z68J554gl/84hf8+9//xuVyNWrf9hgXwpHxrzYZ/1qHjH+1yfjXNmT8q03Gv5bX0WIfyPh3vPYYF8LpaPGvo8U+kPEvHBn/Wt7PIf5JknQKhNRghw8fFgMGDBDTpk0TPp9PCCGEruvi7rvvFhkZGWLTpk0nPcbs2bNFRkaGeP/990NlOTk5Yvjw4WLy5MkiGAy2VPXDamqbli1bJoYOHSpWrlxZq/zNN98UGRkZ4oknnmipqofVHJ9RTZ9//rnIyMgQ06ZNExkZGWLNmjUtUOsTa4425efni7POOkucd9554siRI6HyQCAgPvjgA+H3+1uq+nU0R3v+3//7fyIjI6PW753b7RaXXXaZGDhwoCgrK2up6tdr8+bN4vPPPxeffvqpyMjIEOPHj2/wvu0tLoQj419dMv61PBn/6pLxr/XJ+FeXjH8tq6PFPiFk/AunvcWFcDpa/OtosU8IGf/CkfGvdXT0+CfVtmTJEnHttdeKIUOGiMzMTDF+/HjxyCOPiIMHD4bdfsWKFeLWW28Vw4cPF5mZmWLUqFHiwQcfFIcOHar3PW6//XaRkZEhrr322map89y5c0VGRoaYNWtWg/dxuVzitddeE1OmTBGDBg0SAwYMEJdccol44403hNfrPeW6jB8/XmRkZIi333477Po1a9aIjIwM8fzzz7dqvVqC7NHQCJ9//jl+v5/bbrsNs9kMgKIo3HnnnQDMmTPnpMf45JNP6NSpE1dffXWoLCUlhauvvpr9+/fzww8/tEzl69HUNo0dO5Zvv/2WUaNG1SqfPn06Vqu11btaNsdnVMXpdPLUU08xdOhQzjnnnBapb0M0R5vee+89nE4nDz30EF26dAmVa5rGtGnTMJlMLVP5MJqjPTt27CAhIaHW753NZuPKK6/E5/Oxd+/elqn8CZxxxhlcfvnlXHrppY3et73FhXBk/KtLxr+WJ+NfXTL+tT4Z/+qS8a9ldbTYBzL+hdPe4kI4HS3+dbTYBzL+hSPjX+vo6PFPqvbGG29w6623cuDAAa644gpuueUW+vbty5w5c7j44ov5/vvvQ9sGg0EeeughbrzxRjZu3MiECRO45ZZbGDFiBPPnz+fyyy9n27Ztdd6joqKC5cuXk5SUxPr16ykqKmrNJgJw+PBhpkyZwr/+9S90XWfatGnccMMNREZG8uSTT3Ldddeh63qT3uPFF1+ktLS03dWrOclEQyOsW7cOs9nM8OHDa5X37NmT1NTUk55YHD16lOzsbM4991w0Tau1ruofRmufnDS1TQDx8fF1yiwWC7GxsZSXlzdbXRuiOdpT5YUXXqCgoID77ruvuavZKM3RpgULFpCQkNDocRNbQnO0Jy4uDqfTWaeLpqgcnzIyMrL5KtzC2mNcCEfGv/Bk/GtZMv7VJeNf65PxLzwZ/1pOR4t9IOPf8dpjXAino8W/jhb7QMa/cGT8a9/aW1yQTiwnJ4dZs2aRlpbG119/zcMPP8zvf/97Xn75Zf73v/9x+eWXc9ZZZ4W2f/rpp5kzZw6jR49m4cKFPP744/z+97/nmWeeYf78+fzqV78iIyOjzvssW7YMr9fLXXfdha7rfPvtt63ZTJxOJ7/97W85dOgQDz30EJ9//jkPPvgg9913Hx9++CHPPfcc06dPR1VP/TJ6SkoKpaWlzJ49u13Vq7m1n5qcBg4ePEhqaioWi6XOuvT0dLKzs/H5fCfcHyAtLS3s/gAHDhxolro2VFPbVJ/y8nLy8/Nr3UHQGpqrPbt37+bdd99lypQptYJmW2hqm5xOJ/v372fw4MHtIvg0x2d03XXX4fV6+fOf/4zH4wGMk6yvv/6aAQMG0Lt37xape0toj3EhHBn/Gk7Gv+Yj419dMv61Phn/Gk7Gv+bR0WIfyPh3vPYYF8LpaPGvo8U+kPHveDL+tX/tLS5IJ7Zx40YCgQATJkyok9BKT0/nsccew2q1ArBv3z7eeustUlNTeeGFF4iJiam1fZcuXXjwwQdDPXtq+uabb0hISGDq1KkkJCSwYMGCk9btgQceaLaE4quvvkpWVhY33ngj1157LYqi1Fo/efJkLrvssrD7Zmdn07dvXz799NMTvkefPn0YPHgw77//PocOHWrxerWV9hF5TxNFRUXExsaGXRcTE4MQgpKSkhPuX7Xt8aqOW1xc3NRqNkpT21SfL7/8El3XmThxYtMq2EjN0R5ROQGWw+Hg/vvvb/5KNlJT25SdnQ1A165dOXjwILfddhtnnHEGZ511FjNnzmT37t0tUOv6NcdndPHFF3P33Xczf/58Jk+ezNtvv81TTz3Fvn37ePLJJ+sE3/asPcaFcGT8azgZ/5qPjH91yfjX+mT8azgZ/5pHR4t9IOPf8dpjXAino8W/jhb7QMa/48n41/61t7ggnVhVUmD79u2hHjT1+fjjj9F1nZtvvhmHw9Hg93C73SxfvpwxY8agqipjxoxh7dq1rfZ7EAwGmTNnDlarlVtvvbXF3qe0tJTbb78dv9/Pv/71r3ZTr+YmEw2N4Pf7w2begNA4f36//4T7A2GPUbX/qdxB0RRNbVM4VV2BkpKSmDp1apPr2BjN0Z6vvvqK9evXc9ddd5GYmNjsdWysprbJ6XQCcOjQIa666ip8Ph+/+c1vGD16NEuXLmX69OmhE7LW0Fy/czExMURFRWEymfjnP//Jf/7zH6688srT6m4OaJ9xIRwZ/xpGxr/mJeNfeDL+tS4Z/xpGxr/m09FiH8j4d7z2GBfC6Wjxr6PFPpDx73gy/rV/7S0uSCc2cuRIYmNjWbNmDbfddhv79u2rd9uqIa8am3RdtmwZbrebcePGATB+/HiCwSALFy485Xo3xu7duykqKmLYsGFER0e32PuUl5dz3nnnceaZZ/Ldd9+xfv36dlGv5ta6s+Cc5iwWS73/AAKBAECoy1B9+0P4fyIN2b8lNLVN4fzlL3+hoKCAF198kYiIiCbXsTGa2p6qCbAyMzOZPn16i9SxsZrrM/r+++/5v//7v1pB/4MPPuBvf/sb//nPf3j44Yebp8In0RzteeGFF/jPf/7Dm2++yeDBg1m+fDmzZ8/m7bffpqysjMcff/y0uaujPcaFcGT8axgZ/5qXjH91yfjX+mT8axgZ/5pPR4t9IOPf8dpjXAino8W/jhb7QMa/+sj41361t7hwItuOlrJ0Zx7eQLCtq9JgVpPG+Mxk+nep22PkVERHR/Pcc89x5513snjxYpYsWcK4ceOYMWMGo0aNqvV7d+jQISIiIkhOTm7UeyxYsACz2cyYMWMAGD16NGazmW+++YarrrqqWdpxIllZWYAxb0pLqkqg3X///UyfPp3HH3+cuXPn1vu321r1am4y0dAI8fHx9c58XlhYiKZp9XaJq9ofCHuMwsJCgFa/g6CpbTreq6++yoIFC5g+fTrnn39+M9Wy4ZranhdeeIH8/Hz+8Ic/cOzYsVB5WVkZAAUFBWRnZ5OcnBx2jMWW0NQ2VXVJvOiii+pkln/5y1/yxBNP8MMPPzRbfU+mqe3ZvXs3s2fP5o9//CNDhgwB4LzzzmPMmDH89a9/5aOPPmLkyJFMmTKl+SvfAtpjXAhHxr+Tk/Gv+cn4V5uMf21Dxr+Tk/GveXW02Acy/h2vPcaFcDpa/OtosQ9k/DuejH/tX3uLCyeyem8BBU5vW1ejUcoJsHpvQbMlGsDo1TBv3jxefvllPvvsM5YsWcKSJUvo378/jzzySOj30u12N/qz83g8LF26lOHDh4fmgIiMjGT48OGsXbuWkpKS0N/HwoUL2bFjR2jfHTt2UFZWxgsvvBAqi4qK4oYbbmhUHdxuN0CDh3sqKyvj7bffrvW6qn5HjhwJlU+aNIl+/fqFXgeDRsJq6NChXHjhhSxYsIAvv/ySyy+/vFnq1V7IREMj9O7dmzVr1uDxeLDZbLXWHThwgG7duoW6eoXTq1cvAPbv319nXdVkN1WT37SWprappvnz5zNr1ixGjBjBn/70p5ao7kk1tT2fffYZQL1jU95zzz0AfP7557UCRktqapu6d++O2WyudeJYxWKxEBcXR0VFRbPXuz5Nbc/KlSvRdT2U7a6iqir33HMPH330EQsWLDhtTrTaY1wIR8a/E5Pxr2XI+FebjH9tQ8a/E5Pxr/l1tNgHMv4drz3GhXA6WvzraLEPZPw7nox/7V97iwsnMqp3IktOwx4N5/Zu/kRNcnIyjzzyCHfffTeffPIJb775Jtu3b2fGjBm8/vrrjBw5ErvdjsvlatRxV6xYgcvlYvDgwbWGNTvjjDNYtWoVixcv5sorrwSMC/lVMaumF198MfQ8NTW10YmGqr/Lhta9rKys1ntWWbRoEYsWLapVl/ri5r333svixYt59tlnufDCC9E0rcn1ai9koqERRowYwcqVK1m1alWt7PjOnTvJzc3lmmuuOeH+ycnJ9OzZk9WrV9cZp2/ZsmWAkSlsTU1tU5VVq1bxhz/8gd69e/Piiy/WOwZhS2tqe5566qlQd72a5s2bx/z587nrrrvIyMiga9euzV73+jS1TVarlbPPPpv169fXygaDkSEtLCwMZaBbQ1PbU5UFLigoCJ2kHO90GtOxPcaFcGT8q5+Mfy1Hxr/aZPxrGzL+1U/Gv5bR0WIfyPh3vPYYF8LpaPGvo8U+kPHveDL+tX/tLS6cSP8uMc3aM6AjiImJ4cYbb2T69Ok88sgjfPHFF8yaNYuPP/6Ybt26sWvXLvLz80lKSmrQ8b755hsAZs+ezezZs+usX7BgQSjR8MQTT/DEE0+E1j3wwAOsW7eOxYsXN6lN3bp1A+DgwYMN2r5r167s2rUr9Do7O5uJEyfy+OOPh+p6Mj169GD69Om8/fbbvP3224wePbrJ9Wov5GTQjTBlyhSsVisvv/xyKJDrus7zzz8PwNVXXx3a9siRI0yfPr3O2H9XX301hYWFvPfee6Gy7Oxs5syZQ79+/TjjjDNaoSXVmqNNP/74I3fccQcJCQm89tprbTpJSVPbM27cOCZNmlTnUTUm2tChQ5k0aRJRUVGnTZsArrvuOvx+P0888QRCiFD5m2++id/v54ILLmiFlhia2p6qAPzss8+GJvuq8uqrrwLGyVx7dLrEhXBk/JPxT8a/ppPxr/3HhXBk/JPxr7XjX0eLfSDj3+kQF8LpaPGvo8U+kPFPxj8Z/6S2Ybfb+cc//oHdbmf79u0AnH322QAsXbq0Qcfw+XwsWbKEnj178tJLL9V5pKens2rVKsrLy1uqGQD07duX6Oho1q9fX+dvrCXddtttREdH88Ybb4Sdp6Gt6tVUskdDIyQnJ3PPPffw+OOPM3XqVMaPH8+GDRvYuHEj119/Pf379w9t+7///Y+NGzeyceNG7rjjjtBkKNOnT2fevHk8+eSTbN26leTkZL744gv8fj+PPPJIq0/g09Q27dy5k1tuuQWXy8XkyZP55JNP6rxHv379mDRp0mnRnvaoOdo0fvx4rrzySj799FP279/POeecw549e1i0aBFDhw5t8N077aE9/fr145ZbbuHVV19l8uTJXHDBBURERLBhwwZ++OEHBgwYwHXXXddq7QHjpKiqC5+u6wC1xgpMTU3lyiuvPG3iQjgy/sn41xZk/JPxT8a/9tkmGf9aVkeLfc3RJhn/2kZHi38dLfY1R5vaGxn/ZPxrL/FPMrhcLjRNCztBt8lkQtO00NBfV111Fe+//z6vv/46l112Wdh9hBChz3flypVUVFRw8cUXh42b27ZtY/bs2SxatKhFhwYzmUxMnTqVN998k9dff52777477HY1694cYmNjue2223jiiSf46quv2k29mkxIjfbJJ5+IyZMni379+onzzjtPvPLKKyIYDNbaZvv27WLEiBFixowZddaVlpaKv/zlL2L48OFiwIAB4uqrrxYbN25szSbUcaptev7550VGRsYJH3/84x9Pm/bUp6qda9asaclqn1BT2xQMBsVbb70lLrzwQtGvXz8xatQo8dRTT4mKiorWbEZIU9vz9ddfi1//+tdiyJAhon///uKCCy4Qzz//vHC73a3ZDCGEEGvWrDnh38CMGTNO2p72GBfCkfFPxr+2IOOfjH/tgYx/Mv61to4W+4SQ8e90iAvhdLT419FinxAy/sn417p+TvHv5ywYDIqZM2eKq6++Wuzdu7fO+g8//FBkZGSI+++/P1T217/+VWRkZIhbb71VlJWV1dq+uLhY3HLLLWLhwoVCCCHuv/9+kZGRIbZv3x72/bdu3SoyMjLEzJkzw67/4x//KMaPH19v/efOnSsyMjLErFmzTtrW4uJiMWbMGJGZmSk+/vjjOuvXr18vrrnmGlFUVFRn3eHDh0VGRoaYO3duvccfP368GDNmTJ1yr9crJkyYIIYNGyYyMjLE888/32z1aiuKEDX6kkmSJEmSJEmSJEmSJEmSJEk/a++88w5PPfUUwWCQs88+mwEDBmAymdiyZQtr1qyhe/fufPDBB6E5GXw+Hw888ADz5s0jNjaWCRMmkJKSQm5uLgsXLsTj8fDUU08xceJEzj33XKKioli8eHHYO/KFEIwdO5aSkhK+//57IiMjG1X3Tz/9lAcffJBBgwZx5pln1lkfExPDHXfcEXq9Z88ebrnlFo4ePUq/fv0YMWIEFouF7du3s2rVKvr06cPrr79OSkpKI3+KMGHCBAKBAMuXL6+zbv78+fz+978H4I477uDOO++stb4l69USZKJBkiRJkiRJkiRJkiRJkiRJqiU7O5t33nmHFStWcPjwYcAYHmvy5MnceOONYeeqWbhwIR9++CFbt26lvLycxMRERo0axa233kp6ejrLli3jlltu4dprr+Whhx6q973/+te/8uGHH/LMM89wySWXNKreVYmG+qSmptaZSLq8vJx33nmHBQsWsH//fgDS09O59NJLuf7668MOB9UQJ0o0CCGYNm0amzZtCptoaMl6tQSZaJAkSZIkSZIkSZIkSZIkSZIk6ZSpbV0BSZIkSZIkSZIkSZIkSZIkSZJOXzLRIEmSJEmSJEmSJEmSJEmSJEnSKZOJBkmSJEmSJEmSJEmSJEmSJEmSTplMNEiSJEmSJEmSJEmSJEmSJEmSdMpkokGSJEmSJEmSJEmSJEmSJEmSpFMmEw2SJEmSJEmSJEmSJEmSJEmSJJ0ymWiQJEmSJEmSJEmSJEmSJEmSJOmUyUSDJEmSJEmSJEmSJEmSJEmSJEmnTCYaJEmSJEmSJEmSJEmSJEmSJEk6ZTLRIEmSJEmSJEmSJEmSJEmSJEnSKZOJBkmSJEmSJEmSJEmSJEmSJEmSTplMNEiSJEmSJEmSJEmSJEmSJEmSdMpkokGSJEmSJEmSJEmSJEmSJEmSpFMmEw0dUF5eHuPGjWPcuHHk5+e3dXWa7NNPP6Vv3748++yzLXL8jvbzkprPypUrufTSS+nfvz8jRozgm2++AcDtdvPQQw8xbNgwBgwYwLRp09q4plKVjvb3LOOf1FZk/Dv9dLS/Zxn/pLYi49/pp6P9Pcv4J7UVGf8kSWoqU1tXQAqvb9++AMycOZPf//73YbdZsmQJM2fOBODzzz+nX79+AHg8HgoLCwHjH0JrmDBhAkeOHKlV5nA4SE9P5/zzz+f666/H4XC0Sl3q84tf/ILExETefffdWuVt8fM6ntvt5vXXX2fevHkcPnwYs9lM7969ueSSS7jmmmuw2WxtUq+WsGXLFt58803WrVtHUVERMTExDB8+nNtuu43MzMwmHfumm25i//79LF68uMn1zM3N5fbbbycYDHL11VdjMpno06cPALNmzWLOnDkMGDCAMWPGEBUV1eT3k6rJ+Nf8ZPxrH2T8k05Gxr/mJ+Nf+yDjn3QyMv41Pxn/2gcZ/yRJ+jmRiYZ2bv78+fWeaP3vf/8LW969e3dWrFgBQGxsbEtVLazbbrsNVVUJBoMUFhayYsUK/u///o/vvvuO999/H7vd3qr1qam8vJzExMQ65W358wLjRO/Xv/4127ZtY9iwYZx//vn4fD5Wr17N448/zty5c5k7dy4Wi6XV69bcXnrpJV544QVsNhsTJ06ka9eu5Ofns3DhQhYuXMjs2bMZN27cKR/f6XQ2W12XL1+Ox+Ph+uuv509/+lOtdQsWLEDTNN544w3i4uKa7T2l2mT8az4y/rU9Gf+kxpDxr/nI+Nf2ZPyTGkPGv+Yj41/bk/FPkqSfG5loaMfS0tI4ePAgW7duZdCgQbXWeTweFi9eTM+ePdm/f3+dfdvihAHg9ttvx2Sq/rXy+XzccccdLFu2jI8++ogbbrihTeoFxolWfdrq5wXwzjvvsG3bNm655RbuvffeULkQgi+++IKKiooOcZL1/vvv8/zzz9OvXz9efvllOnfuHFr3hz/8gZdeeolhw4Y16T3KysqaWs2Q3NxcAHr16hV2XVJSkjzJakEy/jUvGf/alox/UmPI+Ne8ZPxrWzL+SY0h41/zkvGvbcn4J0nSz5Gc4t+BHAAAEk1JREFUo6EdO+uss9A0jfnz59dZt3TpUlwuFyNHjmyDmjWcxWLhxhtvBGDDhg1tVg+fz4fH42mz9z+RtWvXAnDZZZfVKlcUhSlTpvDrX/+6LarVrIqLi3n66aeJiori1VdfrXWSBcaJ7p///GciIyOb9D7NeaIlhABAVcOHyfrKpeYh41/zkfGvbcn4JzWWjH/NR8a/tiXjn9RYMv41Hxn/2paMf5Ik/VzJSNGOmUwmhg0bxvz589F1vda6+fPn07lzZ7p27Rp23759+zJ27NhaZVWTSm3YsIF9+/Zx6623MmTIEAYPHsxtt91GQUFBi7Sjqrvm8d36gsEgb7311v9v785jojj7OIB/2VoUEEEFjwBqq85yiaAFhCJyQ+SoSLWpgBaFpijFUIliIViN5EVpKgqeqNBaraWxGMAD12VZD5BVFBRRMR4IWAkooEhFjnn/MDt1WFgOWxX9ff7bZ559nmdm9MuT7DzzYPbs2TA2NoatrS1iYmLw6NGjXrXb1taGzMxMLFmyBFZWVjA2NoarqytSU1O5P5IAEBgYyD0RI5PJIBQKIRQKERUVxdXpfL3mzJkDIyOjLsdSU1MDQ0NDLFu2jFd+8eJFLFmyhLum/v7+OHfuXI/nIX9ao7S0tFfnDby4lomJiXBzc4ORkREsLS2xYsUKhfeENjc3Y8uWLXB1deWu8erVq1FZWanQZlJSEoRCIWpqaiASieDu7g6hUIj09HSuTkNDA+Li4mBnZ8dd7+3bt6OtrU3peLOzs9Hc3Iwvv/wSo0aN6tU5RkVFQSgUIj8/X+GYvb099x7Xl+vW1taiurqau8eBgYG871VXV2P16tWwtbXlxp+YmIinT59ydWprayEUCpGcnAwAiImJgVAoRHh4OGJjY7l+a2pquH7Ky8t7dU6k9yj/lKP8o/zrXJfy791B+acc5R/lX+e6lH/vDso/5Sj/KP8616X8I4S8bejVSW+xpqYmuLi4IC4uDhcvXuSW1TU1NSEvLw/z58/v1zv5fv/9d4hEItjb22PRokXIy8uDWCxGR0cHduzY8W+fBu7evQsA0NXV5cra2toQFhYGiUSCqVOnIjg4GDU1NTh8+DCKiopw6NChHjfPioiIwIkTJ/DJJ59g3rx5aG9vR1ZWFuLj4yEQCLBo0SIAgK+vL4RCIfbt2wc9PT34+voCALd5WFe8vLxw7do1iEQifPHFF7xjOTk5YFkWnp6eXFlWVhZWrlwJbW1tzJ07F4MHD4ZIJMLixYuRkpKCTz/9tNu+3N3dkZubizVr1qC2thb+/v7Q0NDotn5NTQ0CAwNRUVGBqVOnwtXVFY8fP0ZOTg6GDRuGNWvWAAAaGxsRGBiIGzduwNraGrNnz0ZVVRWysrIgEomwd+9emJmZKbSfnp6OnTt3wsPDAy4uLrC1teX69ff3R1VVFVxcXDBx4kSUlpYiMTERd+7cwcaNG7sdc0FBAQDA0dGx2zqvwsXFBWPHjsW2bdugqanJ3Xs9PT2uTmlpKYKCgtDc3AwPDw/o6+ujuLgY27dvh1gsxr59+6CtrQ11dXWEhYVBJpNBJpPB0dERJiYmmDhxItTU1KCrq4vk5GRoaGggKCgIADBy5Mj/5LzeZ5R/lH9dofxTRPn37qH8o/zrCuWfIsq/dw/lH+VfVyj/FFH+EULeWix5KzEMwy5dupR98OABa2hoyP7www/csYyMDJZhGPbChQtsfHw8yzAMW1ZWpvD9mTNn8soOHTrEMgzDTp06lc3Ly+PKnz59ylpZWbFCoZCtr6/v13gdHR1ZhmHY1tZWXnljYyM7Z84clmEY9tixY1z59u3bWYZh2PXr17MdHR1ceV5eHsswDLt3716Fcf/000+8tktKStjS0lJe2a1bt1hDQ0PWwcGBV3737l2WYRg2ICCgy/F3vl5//fUXKxQK2aCgIIW6CxYsYM3Nzdnm5maWZVm2oqKCNTU1ZV1cXNiHDx9y9Z48ecI6OTmxXl5eXfb5svXr17MMw7AMw7BWVlbshg0b2Hv37nVZd+HChSzDMOzmzZt55bW1teyzZ8+4z5GRkSzDMGxSUhKvnkwmY42NjVknJye2paWFK9+yZQvLMAxrZGTESqVShX6DgoJYhmHYnJwcXvmGDRtYhmEU7sXLvLy8WIZh+vTva9WqVSzDMOzZs2cVjs2cOZNlGIZX1trayjIMwzo6OirUb2lpYZ2dnVkjIyM2Pz+fd2zHjh0swzDsihUreOXy65Genq7QXlf/v8i/h/KP8o/yj/LvfUX5R/lH+Uf5976i/KP8o/yj/COEDHz06qS3GMuyGD16NKysrHD8+HFued6RI0egp6eHadOm9avdgIAAzJo1i/usrq4OCwsLsCyLe/fuvdKYt27diqSkJCQmJmL16tVwdXVFWVkZ3N3d4e7uDuDF0xypqanQ0tJCZGQkVFRUuO/PmjUL+vr6kEqlPfZlZmYGExMTXtnHH3+MSZMm4f79+71egtqVMWPGwNLSEoWFhWhoaODKa2trUVRUBCcnJ6ipqQF4sZnV8+fPERERgREjRnB1hw4dCl9fX5SXl+PBgwdK+4uOjkZaWhqsra3R0NCAPXv2wN3dHTExMbxNvMrKynDu3DkYGRnh22+/5bWho6ODwYMHAwDq6uqQnZ0NPT09hIaG8upZWlrCx8cHVVVVyM3NVRiLj4+PwrLjsrIynD17Fvb29nBzc+MdCwgIAACl96y5uRkAenxK57+Sm5uLyspKeHl5wcbGhncsJCQEBgYGOHLkyH+2fJr0HeWfcpR/lH+9Rfk38FD+KUf5R/nXW5R/Aw/ln3KUf5R/vUX5Rwh5U+jVSQOAt7c3oqOjIZPJYGpqioKCAixZsoQ3QemLDz74QKFMvlTx77//fqWxbtu2jfd53LhxiIyMhJ+fHzfe27dvo6GhAXp6eti1a5dCG21tbbh//36v+ywrK8OpU6dw9epV3Llzh1uq2tTUxJv49JW3tzdkMhlOnjyJzz//HAAgEonAsiy8vLy4ehcvXgQAFBcX49atW7w2rl69CuDFuxHHjBmjtD8bGxvY2Njg+vXrSEtLQ2ZmJv744w+UlJQgPT0dampqXF8uLi5K7/+VK1fQ0dEBW1vbLu+3ra0t/vzzT5SUlMDDw4N3bPr06Qr15f0+e/YMSUlJvGPt7e0AoPSeySelzc3N3Ds5X6eSkhIAgJ2dncIxgUAAGxsbpKen48qVK//Z8lbSP5R/ylH+KaL846P8G7go/5Sj/FNE+cdH+TdwUf4pR/mniPKPj/KPEPKm0A8NA4C7uzvWrl2LnJwcPHr0CK2trbw/9P+G/k7aOrt69SoGDRqEiooKeHp6or29HV5eXhAI/lk809jYCODF5EO+4VBn48aN67Gvmzdv4vvvv8fly5cxYcIETJs2DX5+fkhPT8ft27d5G2L1h7u7O9atW4cTJ05wE62cnBxoaWnx3jkpP5+ff/6527b6MhZDQ0PEx8cjKCgIoaGhKC8vR0ZGBhYsWMA9XfLy+z67Ih9TdxPN4cOHAwDvaRVl5PXk723sirJz1NfXx82bN1FRUQFtbe1e9flvko+/p+shv27k7UH51zXKv+5R/vFR/g1clH9do/zrHuUfH+XfwEX51zXKv+5R/vFR/hFC3hT6oWEA0NTUhIODAyQSCZ4+fQqGYTB58uQ3PSylxo8fj4ULF2LPnj1ISUlBeHg4d2zYsGEAXjzBkJaW1q/2m5qa8NVXX4FlWfzyyy+wtrbmjuXm5uL27duvNH4A0NLSgoODA/Ly8tDU1ITW1lacP38ec+fO5T2VoKWlhaqqKkil0h6f2ugLoVCI5cuXY+XKlbh+/TqAf67dw4cPexw7ANTX13d5XF7e20mPvL3ly5dj6dKlvfrOy6ysrCCRSLjNz/riVSfMwD/n2dP1kJ8neXtQ/imi/KP86wvKv4GL8k8R5R/lX19Q/g1clH+KKP8o//qC8o8Q8qbQHg0DhLe3N2pqanDs2DH4+Pi86eH0SmhoKEaOHIndu3ejsrKSK//oo4+gqamJS5cu9fs9kgUFBairq0NwcDBvktUd+RMl8mWOveXp6YnW1lacOnUKp0+fRnt7Ozw9PXl1zMzMAABisbhPbcspe6pCvuRyyJAhAIApU6YAACQSidI2p0yZAoFAgLNnz3Z5zvn5+QD+GXtP5JMjiUTSr4mPj48PhgwZgt9++63bSWLnduXn/PjxY1758+fP0dLSovB9ZfdYPv7Tp08rHOvo6EBBQQEEAgFMTU17cTbkdaP846P8o/zrjPLv3UX5x0f5R/nXGeXfu4vyj4/yj/KvM8o/QsjbiH5oGCBmzZqFoUOHcksxX4fq6mosWLAAsbGx/fq+pqYmIiIi0NLSgv/9739cuaqqKvz9/fHs2TNERUUpvBeztraW97mrZa3yjcFe3igKePGHVP70w8tGjhwJgUCAiooK7ru94ejoCA0NDYjFYkgkEujq6sLKyopXJyAgAIMGDcLmzZtx7do13rHnz58rXY54584deHh4YNOmTdyGUXItLS3Yt28fNw4AMDc3h4mJCS5fvow9e/bw6j9+/Jg7dx0dHXh5eaG6ulrhvaGFhYXIzMyEvr4+nJ2de3UdzMzMYGFhgcuXL2Pr1q0Kk6LO96wzHR0dhIWFoaGhAd98841Cffm/hf3793NlEyZMAADehl3Nzc0IDw/vcnIqEAigo6ODuro6hWvu5OQEAwMDZGdnc5NMuZ07d6KyshKenp49LsklbwblHx/lH+VfZ5R/7y7KPz7KP8q/zij/3l2Uf3yUf5R/nVH+EULeRvTqpAFi8ODBiI2NRUNDA8aOHfta+szOzkZRURGKiooQFhaGUaNG9bkNPz8/7N+/H2KxGKdOnYK9vT0AYNmyZSgpKYFUKoWHhwecnZ0xdOhQlJeX48yZM0hJSYGNjQ0AcMsxT548CVtbW1hbW8PGxgZaWlrYuXMnt9FUcXExSktLMX78eJSVlfHGoa6ujpkzZ0IqleLrr7+Gubk51NXVERwcrHT8Q4YMgZubG0QiEQDA19dXYXOpSZMmYc2aNYiNjcW8efPg7OyMCRMmoK6uDlKpFDY2NkhISOiy/REjRsDMzAw7duzAwYMHYWdnB319fTx58gR5eXmorq5GQEAAdy1UVFSQkJCAgIAAbNy4EWKxGNOnT0djYyNycnIwatQoZGZmQkVFBTExMbhx4waSk5Nx/vx5WFhYoKqqCsePH4eamho2bdrUp42pEhISEBgYiKSkJOTm5mLGjBlgWRaXLl3CzZs3IRaLlS5FDQ4OxqNHj7B37164ubnByckJ+vr6qK+vh0QiQV1dHYyNjbn68gloZmYmamtrMXr0aJw7dw7jx4+HnZ0dzpw5o9CHm5sbDhw4gODgYNjZ2aG9vR3fffcdVFVVkZiYiKCgIISEhMDDwwP6+vq4dOkSCgsLwTAMYmJien0tyOtF+Uf5B1D+Uf69nyj/KP8Ayj/Kv/cT5R/lH0D5R/lHCBlo6IeGAeSzzz57rf3Z29sjNTUVkydPho6OTr/aEAgEiI6ORkBAAOLi4jBjxgyoqqpCVVUVu3fvxoEDB5CRkYH09HQAAMMwiIqKwvTp07k2LC0t4ejoiNOnT0MsFsPa2hra2tpIS0tDXFwcjh49Cg0NDTg5OSE+Ph6ZmZkKEy0AWLt2LaKjoyGTyVBcXAw7O7tenYO3tzcyMjIAoNunaebPn4/JkycjJSUFBQUFEIlE0NXVhaurKxYvXtxt21paWti1axckEgkOHTqEwsJCHD16FGpqajAxMUFkZCRmz57N+87EiRORmZmJrVu3QiKRoLi4GMOHD4eLiwvCw8O5J2C0tLRw8OBB7N69G1lZWbhw4QK0tbXh4+ODpUuXwsDAoFfnL2dgYICMjAzs2rULIpEIqampUFNTg4WFBX788cce33epoqKCVatWwcHBAb/++ivy8/NRX18PbW1tWFlZISQkhFsaC7yYYG/ZsgUJCQmQyWQYMWIE/Pz8sGzZMqxbt67LPiIiIvDw4UNIpVJcv34d5ubmaG1txYcffghTU1McPnwYycnJkEqlaGhogJ6eHkJDQxESEgINDY0+XQ/yelH+Uf4BlH+Uf+8nyj/KP4Dyj/Lv/UT5R/kHUP5R/hFCBhIV9t/YaYYQQgghhBBCCCGEEEIIIe8l2qOBEEIIIYQQQgghhBBCCCH9Rj80EEIIIYQQQgghhBBCCCGk3+iHBkIIIYQQQgghhBBCCCGE9Bv90EAIIYQQQgghhBBCCCGEkH77P5+8QpYhSY7sAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1603.12x269.231 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1603.12x269.231 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with matplotlib.rc_context(mpl_rc),sns.axes_style(\"whitegrid\",rc={'font.family':['Source Sans 3'],}),sns.color_palette(**palette_rc):\n",
    "    for hod,fsuff in plot_versions:\n",
    "        df_plot = df_precrecall[np.isin(df_precrecall[\"Method\"],hod)].copy()\n",
    "        df_plot[\"Method\"] = pd.Categorical(df_plot[\"Method\"],categories=hod)\n",
    "        g = sns.relplot(data=df_plot,\n",
    "                        **facet_params,\n",
    "                        **global_params,\n",
    "                        kind=\"line\",\n",
    "                        x=\"Min. Relative Score Cutoff\",y=\"Recall\",\n",
    "                        **line_params,\n",
    "                        estimator=None,errorbar=None,\n",
    "                       ).set_titles(col_template=\"{col_name}\").set(xticks=[0,0.2,0.4,0.6,0.8,1.0],yticks=[0,0.25,0.5,0.75,1.0])\n",
    "        ax = g.axes.flat[0]\n",
    "        g.legend.set_title(None)\n",
    "        g.set_axis_labels(y_var=\"Recall (%)\")\n",
    "        ax.yaxis.set_major_formatter(mtick.PercentFormatter(1.0,symbol=\"\"))\n",
    "        g.tick_params(pad=0)\n",
    "        g.tight_layout()\n",
    "        g.savefig(f'alignable{fsuff}.pdf')\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 689,
   "id": "6562ddaf-c627-4a7f-b107-7f46a96b782b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1589.12x269.231 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1589.12x269.231 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with matplotlib.rc_context(mpl_rc),sns.axes_style(\"whitegrid\",rc={'font.family':['Source Sans 3'],}),sns.color_palette(**palette_rc):\n",
    "    yscale_params = {\n",
    "        \"value\":\"function\",\n",
    "        \"functions\":(\n",
    "            lambda x:1/((1-x)+1),\n",
    "            lambda x:1-1/x+1\n",
    "        )\n",
    "    }\n",
    "\n",
    "    mask = df_precrecall[\"Min. Relative Score Cutoff\"] != 0\n",
    "    for hod,fsuff in plot_versions:\n",
    "        mask1 = np.isin(df_precrecall[\"Method\"],hod[1:])\n",
    "        df_plot = df_precrecall[mask & mask1].copy()\n",
    "        df_plot[\"Method\"] = pd.Categorical(df_plot[\"Method\"],categories=hod[1:])\n",
    "        g = sns.FacetGrid(data=df_plot.explode(\"UniFrac Accuracy\").reset_index(),\n",
    "                          **facet_params)\n",
    "        g.map_dataframe(sns.lineplot,\n",
    "                        x=\"Recall\",\n",
    "                        y=\"UniFrac Accuracy\",\n",
    "                        n_boot=1000,\n",
    "                        seed=42,\n",
    "                        **global_params,\n",
    "                        **line_params,\n",
    "                       ).set_titles(col_template=\"{col_name}\").set(xticks=[0,0.2,0.4,0.6,0.8,1.0])\n",
    "        g.add_legend(title=None)\n",
    "        ax = g.axes.flat[0]\n",
    "        ax.xaxis.set_major_formatter(mtick.PercentFormatter(1.0,symbol=\"\"))\n",
    "        ax.set_yscale(**yscale_params)\n",
    "        g.set_axis_labels(x_var=\"Recall (%)\")\n",
    "        acc_midpoints = (1.0-midpoints)[::-1]\n",
    "        ax.set_yticks(acc_midpoints)\n",
    "        ax.set_yticklabels([\"{:.3f}\".format(m) if i % 2 or i == 0 else \"\" for i,m in enumerate(acc_midpoints)],fontsize=fontsize/3*2)\n",
    "        g.tick_params(pad=0)\n",
    "    \n",
    "        g.tight_layout()\n",
    "        g.savefig(f'unifrac_vs_alignable{fsuff}.pdf')\n",
    "        plt.show()\n",
    "\n",
    "assert(len(g.axes[0]) == len(platforms))\n",
    "pl_v = []\n",
    "m_v = []\n",
    "vals = []\n",
    "errs = []\n",
    "meas = []\n",
    "for platform,ax in zip(platforms.values(),g.axes[0]):\n",
    "    for method,line,col in zip(hue_order_supp[1:],ax.lines,ax.collections):\n",
    "        df_arc = pd.concat([\n",
    "            pd.DataFrame(*line.get_data()).reset_index().set_index(0),\n",
    "            pd.DataFrame(col.get_paths()[0].vertices).groupby(0).agg({1:['min','max']}),\n",
    "        ],axis=1)\n",
    "        tofill = np.isnan(df_arc[(1,\"min\")])\n",
    "        df_arc[(1,\"min\")][tofill] = df_arc[\"index\"][tofill]\n",
    "        df_arc[(1,\"max\")][tofill] = df_arc[\"index\"][tofill]\n",
    "        if df_arc.index[0] != 0:\n",
    "            first_row = df_arc.iloc[0]\n",
    "            df_arc = pd.concat([pd.DataFrame(first_row).T,df_arc]).reset_index()\n",
    "            df_arc.iloc[0] = (0, 1, 1, 1)\n",
    "            df_arc = df_arc.set_index(\"level_0\")\n",
    "        pl_v.append(platform)\n",
    "        m_v.append(method)\n",
    "        vals.append(sklearn.metrics.auc(df_arc.index,df_arc[\"index\"]))\n",
    "        errs.append((\n",
    "            sklearn.metrics.auc(df_arc.index,df_arc[(1,\"min\")]),\n",
    "            sklearn.metrics.auc(df_arc.index,df_arc[(1,\"max\")]),\n",
    "        ))\n",
    "        meas.append(\"AUARC\")\n",
    "df_agg = pd.DataFrame({\n",
    "    \"Platform\":pl_v,\n",
    "    \"Method\":m_v,\n",
    "    \"Value\":vals,\n",
    "    \"Error\":errs,\n",
    "    \"Measure\":meas,\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 690,
   "id": "ccad7931-1243-46bb-b9cc-3f551fa7b7af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Measure</th>\n",
       "      <th>AUARC</th>\n",
       "      <th>Mean Coverage of Best Alignment</th>\n",
       "      <th>RAM Usage (GB)</th>\n",
       "      <th>reads/s</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Platform</th>\n",
       "      <th>Method</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Illumina</th>\n",
       "      <th>GraphAligner</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.868 [0.817,0.920]</td>\n",
       "      <td>2.281</td>\n",
       "      <td>1.090 [1.090,1.090]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAST</th>\n",
       "      <td>0.930 [0.915,0.943]</td>\n",
       "      <td>0.904 [0.867,0.943]</td>\n",
       "      <td>3.486</td>\n",
       "      <td>0.135 [0.135,0.135]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA</th>\n",
       "      <td>0.895 [0.880,0.908]</td>\n",
       "      <td>0.886 [0.842,0.933]</td>\n",
       "      <td>0.270</td>\n",
       "      <td>113.643 [113.643,113.643]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>0.895 [0.880,0.908]</td>\n",
       "      <td>0.886 [0.842,0.933]</td>\n",
       "      <td>0.272</td>\n",
       "      <td>118.749 [118.749,118.749]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>0.895 [0.880,0.908]</td>\n",
       "      <td>0.886 [0.842,0.933]</td>\n",
       "      <td>0.270</td>\n",
       "      <td>91.447 [91.447,91.447]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>0.895 [0.880,0.908]</td>\n",
       "      <td>0.899 [0.856,0.946]</td>\n",
       "      <td>0.269</td>\n",
       "      <td>119.478 [119.478,119.478]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">PacBio HiFi</th>\n",
       "      <th>GraphAligner</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.368 [0.294,0.432]</td>\n",
       "      <td>2.281</td>\n",
       "      <td>1.038 [1.038,1.038]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAST</th>\n",
       "      <td>0.648 [0.535,0.747]</td>\n",
       "      <td>0.451 [0.382,0.521]</td>\n",
       "      <td>3.963</td>\n",
       "      <td>0.001 [0.001,0.001]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA</th>\n",
       "      <td>0.835 [0.780,0.880]</td>\n",
       "      <td>0.286 [0.232,0.336]</td>\n",
       "      <td>0.921</td>\n",
       "      <td>0.497 [0.497,0.497]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>0.845 [0.803,0.880]</td>\n",
       "      <td>0.395 [0.331,0.459]</td>\n",
       "      <td>0.913</td>\n",
       "      <td>0.464 [0.464,0.464]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>0.845 [0.803,0.882]</td>\n",
       "      <td>0.385 [0.320,0.448]</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.393 [0.393,0.393]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>0.881 [0.856,0.904]</td>\n",
       "      <td>0.676 [0.632,0.720]</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.459 [0.459,0.459]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">PacBio CLR</th>\n",
       "      <th>GraphAligner</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.373 [0.302,0.445]</td>\n",
       "      <td>2.281</td>\n",
       "      <td>1.039 [1.039,1.039]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAST</th>\n",
       "      <td>0.548 [0.444,0.647]</td>\n",
       "      <td>0.398 [0.328,0.473]</td>\n",
       "      <td>3.733</td>\n",
       "      <td>0.002 [0.002,0.002]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA</th>\n",
       "      <td>0.806 [0.747,0.857]</td>\n",
       "      <td>0.375 [0.316,0.436]</td>\n",
       "      <td>1.161</td>\n",
       "      <td>0.631 [0.631,0.631]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>0.811 [0.758,0.857]</td>\n",
       "      <td>0.438 [0.373,0.503]</td>\n",
       "      <td>1.154</td>\n",
       "      <td>0.567 [0.567,0.567]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>0.815 [0.767,0.857]</td>\n",
       "      <td>0.429 [0.366,0.494]</td>\n",
       "      <td>1.128</td>\n",
       "      <td>0.602 [0.602,0.602]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>0.852 [0.816,0.884]</td>\n",
       "      <td>0.614 [0.562,0.671]</td>\n",
       "      <td>1.130</td>\n",
       "      <td>0.567 [0.567,0.567]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">ONT</th>\n",
       "      <th>GraphAligner</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.346 [0.276,0.411]</td>\n",
       "      <td>2.281</td>\n",
       "      <td>1.028 [1.028,1.028]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAST</th>\n",
       "      <td>0.677 [0.582,0.761]</td>\n",
       "      <td>0.384 [0.318,0.456]</td>\n",
       "      <td>3.790</td>\n",
       "      <td>0.002 [0.002,0.002]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA</th>\n",
       "      <td>0.820 [0.767,0.865]</td>\n",
       "      <td>0.362 [0.296,0.425]</td>\n",
       "      <td>2.161</td>\n",
       "      <td>0.714 [0.714,0.714]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC100</th>\n",
       "      <td>0.840 [0.797,0.877]</td>\n",
       "      <td>0.406 [0.337,0.473]</td>\n",
       "      <td>2.153</td>\n",
       "      <td>0.629 [0.629,0.629]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC</th>\n",
       "      <td>0.838 [0.797,0.875]</td>\n",
       "      <td>0.397 [0.331,0.464]</td>\n",
       "      <td>2.169</td>\n",
       "      <td>0.480 [0.480,0.480]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCA+LC+NC</th>\n",
       "      <td>0.882 [0.854,0.908]</td>\n",
       "      <td>0.608 [0.555,0.662]</td>\n",
       "      <td>2.163</td>\n",
       "      <td>0.618 [0.618,0.618]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Measure                                 AUARC Mean Coverage of Best Alignment  \\\n",
       "Platform    Method                                                              \n",
       "Illumina    GraphAligner                  NaN             0.868 [0.817,0.920]   \n",
       "            PLAST         0.930 [0.915,0.943]             0.904 [0.867,0.943]   \n",
       "            SCA           0.895 [0.880,0.908]             0.886 [0.842,0.933]   \n",
       "            SCA+LC100     0.895 [0.880,0.908]             0.886 [0.842,0.933]   \n",
       "            SCA+LC        0.895 [0.880,0.908]             0.886 [0.842,0.933]   \n",
       "            SCA+LC+NC     0.895 [0.880,0.908]             0.899 [0.856,0.946]   \n",
       "PacBio HiFi GraphAligner                  NaN             0.368 [0.294,0.432]   \n",
       "            PLAST         0.648 [0.535,0.747]             0.451 [0.382,0.521]   \n",
       "            SCA           0.835 [0.780,0.880]             0.286 [0.232,0.336]   \n",
       "            SCA+LC100     0.845 [0.803,0.880]             0.395 [0.331,0.459]   \n",
       "            SCA+LC        0.845 [0.803,0.882]             0.385 [0.320,0.448]   \n",
       "            SCA+LC+NC     0.881 [0.856,0.904]             0.676 [0.632,0.720]   \n",
       "PacBio CLR  GraphAligner                  NaN             0.373 [0.302,0.445]   \n",
       "            PLAST         0.548 [0.444,0.647]             0.398 [0.328,0.473]   \n",
       "            SCA           0.806 [0.747,0.857]             0.375 [0.316,0.436]   \n",
       "            SCA+LC100     0.811 [0.758,0.857]             0.438 [0.373,0.503]   \n",
       "            SCA+LC        0.815 [0.767,0.857]             0.429 [0.366,0.494]   \n",
       "            SCA+LC+NC     0.852 [0.816,0.884]             0.614 [0.562,0.671]   \n",
       "ONT         GraphAligner                  NaN             0.346 [0.276,0.411]   \n",
       "            PLAST         0.677 [0.582,0.761]             0.384 [0.318,0.456]   \n",
       "            SCA           0.820 [0.767,0.865]             0.362 [0.296,0.425]   \n",
       "            SCA+LC100     0.840 [0.797,0.877]             0.406 [0.337,0.473]   \n",
       "            SCA+LC        0.838 [0.797,0.875]             0.397 [0.331,0.464]   \n",
       "            SCA+LC+NC     0.882 [0.854,0.908]             0.608 [0.555,0.662]   \n",
       "\n",
       "Measure                  RAM Usage (GB)                    reads/s  \n",
       "Platform    Method                                                  \n",
       "Illumina    GraphAligner          2.281        1.090 [1.090,1.090]  \n",
       "            PLAST                 3.486        0.135 [0.135,0.135]  \n",
       "            SCA                   0.270  113.643 [113.643,113.643]  \n",
       "            SCA+LC100             0.272  118.749 [118.749,118.749]  \n",
       "            SCA+LC                0.270     91.447 [91.447,91.447]  \n",
       "            SCA+LC+NC             0.269  119.478 [119.478,119.478]  \n",
       "PacBio HiFi GraphAligner          2.281        1.038 [1.038,1.038]  \n",
       "            PLAST                 3.963        0.001 [0.001,0.001]  \n",
       "            SCA                   0.921        0.497 [0.497,0.497]  \n",
       "            SCA+LC100             0.913        0.464 [0.464,0.464]  \n",
       "            SCA+LC                0.920        0.393 [0.393,0.393]  \n",
       "            SCA+LC+NC             0.939        0.459 [0.459,0.459]  \n",
       "PacBio CLR  GraphAligner          2.281        1.039 [1.039,1.039]  \n",
       "            PLAST                 3.733        0.002 [0.002,0.002]  \n",
       "            SCA                   1.161        0.631 [0.631,0.631]  \n",
       "            SCA+LC100             1.154        0.567 [0.567,0.567]  \n",
       "            SCA+LC                1.128        0.602 [0.602,0.602]  \n",
       "            SCA+LC+NC             1.130        0.567 [0.567,0.567]  \n",
       "ONT         GraphAligner          2.281        1.028 [1.028,1.028]  \n",
       "            PLAST                 3.790        0.002 [0.002,0.002]  \n",
       "            SCA                   2.161        0.714 [0.714,0.714]  \n",
       "            SCA+LC100             2.153        0.629 [0.629,0.629]  \n",
       "            SCA+LC                2.169        0.480 [0.480,0.480]  \n",
       "            SCA+LC+NC             2.163        0.618 [0.618,0.618]  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{llllll}\n",
      "\\toprule\n",
      "    & Measure &                AUARC & Mean Coverage of Best Alignment & RAM Usage (GB) &                    reads/s \\\\\n",
      "Platform & Method &                      &                                 &                &                            \\\\\n",
      "\\midrule\n",
      "Illumina & GraphAligner &                  NaN &             0.868 [0.817,0.920] &          2.281 &        1.090 [1.090,1.090] \\\\\n",
      "    & PLAST &  0.930 [0.915,0.943] &             0.904 [0.867,0.943] &          3.486 &        0.135 [0.135,0.135] \\\\\n",
      "    & SCA &  0.895 [0.880,0.908] &             0.886 [0.842,0.933] &          0.270 &  113.643 [113.643,113.643] \\\\\n",
      "    & SCA+LC100 &  0.895 [0.880,0.908] &             0.886 [0.842,0.933] &          0.272 &  118.749 [118.749,118.749] \\\\\n",
      "    & SCA+LC &  0.895 [0.880,0.908] &             0.886 [0.842,0.933] &          0.270 &     91.447 [91.447,91.447] \\\\\n",
      "    & SCA+LC+NC &  0.895 [0.880,0.908] &             0.899 [0.856,0.946] &          0.269 &  119.478 [119.478,119.478] \\\\\n",
      "PacBio HiFi & GraphAligner &                  NaN &             0.368 [0.294,0.432] &          2.281 &        1.038 [1.038,1.038] \\\\\n",
      "    & PLAST &  0.648 [0.535,0.747] &             0.451 [0.382,0.521] &          3.963 &        0.001 [0.001,0.001] \\\\\n",
      "    & SCA &  0.835 [0.780,0.880] &             0.286 [0.232,0.336] &          0.921 &        0.497 [0.497,0.497] \\\\\n",
      "    & SCA+LC100 &  0.845 [0.803,0.880] &             0.395 [0.331,0.459] &          0.913 &        0.464 [0.464,0.464] \\\\\n",
      "    & SCA+LC &  0.845 [0.803,0.882] &             0.385 [0.320,0.448] &          0.920 &        0.393 [0.393,0.393] \\\\\n",
      "    & SCA+LC+NC &  0.881 [0.856,0.904] &             0.676 [0.632,0.720] &          0.939 &        0.459 [0.459,0.459] \\\\\n",
      "PacBio CLR & GraphAligner &                  NaN &             0.373 [0.302,0.445] &          2.281 &        1.039 [1.039,1.039] \\\\\n",
      "    & PLAST &  0.548 [0.444,0.647] &             0.398 [0.328,0.473] &          3.733 &        0.002 [0.002,0.002] \\\\\n",
      "    & SCA &  0.806 [0.747,0.857] &             0.375 [0.316,0.436] &          1.161 &        0.631 [0.631,0.631] \\\\\n",
      "    & SCA+LC100 &  0.811 [0.758,0.857] &             0.438 [0.373,0.503] &          1.154 &        0.567 [0.567,0.567] \\\\\n",
      "    & SCA+LC &  0.815 [0.767,0.857] &             0.429 [0.366,0.494] &          1.128 &        0.602 [0.602,0.602] \\\\\n",
      "    & SCA+LC+NC &  0.852 [0.816,0.884] &             0.614 [0.562,0.671] &          1.130 &        0.567 [0.567,0.567] \\\\\n",
      "ONT & GraphAligner &                  NaN &             0.346 [0.276,0.411] &          2.281 &        1.028 [1.028,1.028] \\\\\n",
      "    & PLAST &  0.677 [0.582,0.761] &             0.384 [0.318,0.456] &          3.790 &        0.002 [0.002,0.002] \\\\\n",
      "    & SCA &  0.820 [0.767,0.865] &             0.362 [0.296,0.425] &          2.161 &        0.714 [0.714,0.714] \\\\\n",
      "    & SCA+LC100 &  0.840 [0.797,0.877] &             0.406 [0.337,0.473] &          2.153 &        0.629 [0.629,0.629] \\\\\n",
      "    & SCA+LC &  0.838 [0.797,0.875] &             0.397 [0.331,0.464] &          2.169 &        0.480 [0.480,0.480] \\\\\n",
      "    & SCA+LC+NC &  0.882 [0.854,0.908] &             0.608 [0.555,0.662] &          2.163 &        0.618 [0.618,0.618] \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_875641/1234589914.py:43: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
      "  print(df_agg_pretty.to_latex())\n"
     ]
    }
   ],
   "source": [
    "df_uniq = df.groupby([\"Platform\",\"Method\",\"read_id\"]).agg({\n",
    "    \"RAM Usage\":'max',\n",
    "    \"Time (s)\":'max',\n",
    "    \"Total Coverage\":'min',\n",
    "}).reset_index()\n",
    "\n",
    "df_ram = df_uniq.groupby([\"Platform\",\"Method\"]).agg({\n",
    "    \"RAM Usage\":[lambda x:x.sum()/1000000,lambda x:(None,None)]\n",
    "}).reset_index()\n",
    "df_ram.columns = [\"Platform\",\"Method\",\"Value\",\"Error\"]\n",
    "df_ram[\"Measure\"] = \"RAM Usage (GB)\"\n",
    "\n",
    "df_time = df_uniq.groupby([\"Platform\",\"Method\"]).agg({\n",
    "    \"Time (s)\":[\n",
    "        lambda x:len(x)/x.sum(),\n",
    "        lambda x:bootstrap((x,),lambda y: len(y)/y.sum(),n_resamples=1000,method='basic',random_state=42).confidence_interval\n",
    "    ]\n",
    "}).reset_index()\n",
    "df_time.columns = [\"Platform\",\"Method\",\"Value\",\"Error\"]\n",
    "df_time[\"Measure\"] = \"reads/s\"\n",
    "\n",
    "df_cov = df_uniq.groupby([\"Platform\",\"Method\"]).agg({\n",
    "    \"Total Coverage\":[\n",
    "        'mean',\n",
    "        lambda x:bootstrap((x,),np.mean,n_resamples=1000,method='basic',random_state=42).confidence_interval\n",
    "    ]\n",
    "}).reset_index()\n",
    "df_cov.columns = [\"Platform\",\"Method\",\"Value\",\"Error\"]\n",
    "df_cov[\"Measure\"] = \"Mean Coverage of Best Alignment\"\n",
    "\n",
    "df_agg = pd.concat([\n",
    "    df_agg,\n",
    "    df_ram[df_ram.columns],\n",
    "    df_time[df_time.columns],\n",
    "    df_cov[df_cov.columns],\n",
    "]).reset_index(drop=True)\n",
    "df_agg[\"Platform\"] = pd.Categorical(df_agg[\"Platform\"],categories=platforms.values())\n",
    "df_agg[\"Method\"] = pd.Categorical(df_agg[\"Method\"],categories=hue_order_supp)\n",
    "df_agg_pretty = df_agg.groupby([\"Platform\",\"Method\",\"Measure\"]).apply(\n",
    "    lambda x:\"{:.3f}\".format(x[\"Value\"].iloc[0]) + (\" [{:.3f},{:.3f}]\".format(*x[\"Error\"].iloc[0]) if x[\"Error\"].iloc[0][0] is not None else \"\")\n",
    ").unstack()\n",
    "display(df_agg_pretty)\n",
    "print(df_agg_pretty.to_latex())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 692,
   "id": "eb244381-3043-4d54-bf7a-0a813bf26cc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rVqxYoffGd9J2CiEKiikOJERHR7NkyRIcHR05f/683s+TtlMIUZLVqFGDGzducPv27QwDCS4uLgD4+PhkOpCQlX///ZdPP/2UEydO8Morr9C2bVv69OnDkSNHOH/+fIbQd9lJXymRnJycY9qsBoLTo+SsXLmSlStXZjgfHByc54EENzc3QkND2bx5s7avPCkpid27d2NtbZ1teP+cyp6+rcDu3buzfF5u/paGpDOQYGVlxY8//oi/vz979+7FwsKCP//8kzp16jBt2jTtJhm5FRkZyY4dO/jjjz9ISEhg5syZNGrUCIDw8HBq1qypHQkrTC/ORnhZ+miXPm/gF6V/MRFCFH8FMfpriozRdoK0n0KUJEWt/dR3T5mAgABUKhWTJ0/WtpEKhYKpU6cSGBjIjh07dAYSPD096dmzJydPnmTq1Kl8/fXX9OzZ09jVEUKIIm3p0qVER0czadIkPD09C7s4QghRJLRr145Dhw5x+PBhg4QhTk1NZdy4cdqJNN27d9d2kt++fTtXA70AT548Achz6KHk5GQOHz5M3bp1mTFjRobzixcvJiwsjNjY2AwhRvUxcOBAgoODWbp0KVevXqVWrVqEhIRw584dPv30U0qXLp2ncsP/Jmlu3rzZ5EJEW7x8QKlUMnbsWMaOHWuQDG7evMnIkSOxsLCgRYsWnD59WjszVa1WM3XqVAYMGGASMxvSZyCkd4q9KH1pSm4HUho1apRp55oQQhQXxmg7QdpPIUTRd+bMGZRKJU5OTjrH69ati4ODA6dPn9Y5bmdnh52dHS1atOD58+csWbJEBhKEECIbV69eZevWrQwePFgbUlMIIUTO+vfvz9KlS9m6dSsjR47klVdeydf1rl+/zo0bNxgxYgQ9evTI17WioqL4448/KF++fJ7b9hMnThAfH0+fPn20mxi/6MqVK6xcuZJDhw7h7u6e6+vHx8fz33//0aZNG65cucKhQ4eoV68e33zzTZ6u96IWLVpw4MABQkNDTXsg4Z133mHcuHE6u2u/bPfu3fj5+WFnZ8eMGTMyxKl62YIFC6hZsyYbN24kISGBQ4cOac+ZmZkxYMAAfvnlF5MYSEhfypMepuNF//33HwCVKlXK1TWVSqUskRRCFGvGaDtB2k8hRNF39+5dHBwcMm3L6tSpQ1hYGMnJySgUCpKTk7G2ttaet7Gx0TuO7IsyG9QVQhRPhfU9afny5bi7u1O9enWd440bN840fbNmzdi6dWumsaHzQ6PRMH/+fMqVK8d7772n3Tg0L6TtFKLkkHvMNBUqVODDDz9k/vz5jBs3jhUrVlCzZk2dNP/++6/e10ufRBgTE6Nz/PLly5w6dSrL5/3555/ExcVp9wpQq9V89dVXPH/+HE9Pzzx/dqSHNXJ1dc30vKurKytXriQ4OFjb8Z++gkKfsEE7d+7kzz//5OzZsxk2g84vDw8P1qxZg7+/Px07dqRz587ac2q1mmfPnulsNl2QdAYSfvvtN9zc3Pj99995+vQpnTp10hm1efr0KZ999hkNGjQgJiaG0aNH8/PPP2f4AvGi8+fPM2vWLEqXLk1iYmKG81WrVuX+/fsGrFLe1atXD0hbcvOy9I1CZZaDEELokrZTCCEyFxkZSdOmTTM9Z2tri0ajISoqShtf9eOPP6Z+/fqEh4ezbt06unfvnus8w8PD81tsIUQRURhh4Y4ePcqKFStISUnhvffe0zmn0WioVq0aDg4O2mPPnj3jzz//ZO/evXmOQ52VXbt2cfHiRebPn4+dnV2+BhKk7RSi5ChqITWNafjw4URHR7Ns2TL69OlDly5dqF+/PomJiZw6dYobN25gZ2en175dTZo0oVatWvz8888kJSVRt25dbty4wW+//Ubjxo15+PBhps87c+YMbm5uuLq6Ur58eU6cOEF4eDitW7dm4sSJeapXcnIyoaGhVKtWTRta/2VNmzbF3t6eEydOaAcyqlSpAqRNom/RokWWzwW0feETJ06kbdu22rDOSqUSBwcHunTpkuewTHZ2dixevJipU6fi6emJs7MzjRs3JiYmhhMnTlC5cmW2bNmSp2vnV4bQRosWLUKhUGBpacnWrVt59913tasFLl++TGpqKqtXr6ZChQoMGDCAtWvXMn/+/CwzMDc3z3QAId2tW7fyFIvKGOzt7albty6//fYbKpVKJ6TG0aNHAWjfvn1hFc8keHt74+3trX3s5eWFl5dXIZZICFHYpO0UQojMvdwmvij9ZkOlUjF48GDi4+P54osv+Oeff6hQoQL9+/fP0EknhBCFzd/fn2rVqvHuu+9men7QoEE60QaeP3+Om5ubwQcS0jdYbtasGf/3f/9nsOuKvMltSFKVSiWDN8JkmFmXxc5zWmEXI0dm1mWNct1Jkybh7OzMxo0bOXPmDIcPH6ZUqVLUrl2bqVOnMmLECL06xC0sLFi3bh2ff/45R48eJSwsjE6dOrFz507Cw8O5cOFCps8bO3YslStXZvPmzdy5c4eqVavy7rvvMmHChDyvHjl58iSxsbG4u7tnuRGzQqHA1dWVn376iSNHjtC3b1969uypHaQ+ffp0tgMJLi4uNG/enFu3bnHp0qUMK9usra3x8/OjZcuWeapD165d2b17N6tXr+bkyZMcO3YMOzs7unTpwpgxY/J0TUPIMJDQoEEDNmzYgJWVFXPmzGHNmjWMGjVKZ3l1+ghNv3792LVrV7YZdO7cGX9/f/r06aO9YUp37do1fvrpp3zHzsqL+/fv8+GHH1K/fn0+//xz7fEhQ4awYMECNm3apH1hIiIi2LFjB40bN84xlFNBKoxO/ZiYGJ0VJC8vWRJCFG/Foe0EGRQVQhQMS0vLLMNlvLiHjLm5ucH2KJP9ZYQQxnT58mX69u2rdztTqlQpunbtyoEDBwxajqVLl/Ls2TPWrFmDmZlZvq8nbWf+KJXKLDvrskrfvHlzI5ZICP0pzMwwtzFsaJqipmnTpixatCjHdIMGDcp2ULhGjRqsXbs2w/EGDRrQr1+/TJ9jbm7OW2+9xVtvvZVj/j/++GOmxy0sLLh+/br28euvv67zOCvz5s1j3rx52sc2NjZs3bo1Q7rQ0NAMx7744gtiYmI4dOiQNiwTQFxcHD///DPz58/Hz8+PpUuXUr169SzLM3jwYAYPHpzpuQYNGrBkyZIc65FZ+Ywlw0DC4MGDtfFZJ0yYwK5du7hx4waOjo4ZYkRVrVqVR48eZZvBhx9+yODBg+nbty/dunVDoVAQFBTEnj17CAoKwtramunTpxusQhEREezZswdIixsFaZ3dPj4+ADg4ODBo0CB+/fVXzp8/z/nz55kyZQr29vZA2rKeffv28c0333D58mXs7e3Zu3cvKpWKuXPn5urD0dj07dTXt8NMn3TlypXD3t6ex48fY29vb/A4YEKIwlGS2k6QQVEhRMGws7PLdP8YSNtDxtzcPM9LnrMi+8sIIYwpLi4OW1vbTM/VqVOHChUqZDhesWJFYmNjDVaG9A2W3dzcsLOzIyIiAkD73S4mJoaIiAjKli2rdxsrbadhaDRq1ElZf682K10OhcJMGwVDCCGKopiYGLZv386YMWN0BhEAypYty4ABA5g/fz7x8fGFVELj0RlIKFu2rE5cwbi4OBQKhfbLQHJyss4ofXx8fI6j/9WrV2fHjh188cUXBAQEoNFo2LZtGwAdOnRg7ty5esXa0tf9+/dZvny5zrHY2FjtMScnJwYNGoSzszN+fn40aNBAZxNQS0tL1q1bx+LFiwkODiY+Pp5mzZrx0Ucf8dprrxmsnDkxZKe+vh1m+qTz8vKia9euODo6sn//flq3bp2regkhTFNxaTv1JYOiQoiCUL9+fU6dOkVSUhKlS5fWOXfnzh1q1KiRYcWuEEKYsvLly2cZ53r//v2ZHn/06FGWgw95ERAQgFqt5uDBgxw8eDDD+UOHDnHo0CHefvttPv30U4PlK3KmTooh8tDXWZ63c/0Ec6vyBVcgIYQwEo1Gw6lTp0hISKBMmTLa46mpqSxevBjIeqPnokznzqVTp06sX7+eJk2aUK5cOebPn4+lpSV//fUXGo2GvXv3YmVlpf0jnThxgvr16+eYSfXq1VmzZg3Pnj3j77//RqPRUKtWLezs7AxeoXbt2um1fKVx48ZZ7hperlw5Pv/8c52wHQXNkJ36+naYSceaECVXcWk7c5I+S0qtSgSN+v8fVKNWJaLRqFEo/jc4bsjVXLlJJ0RRIe/pnLVr144TJ04QFhamcyMRHh7Oo0ePGDp0aCGWTgghcq9Vq1YcPnxYuzFlTuLj4zly5IhBw1x6eHjg5OSU4fiTJ0+YN28eTk5OjBo1iho1ahgsTyGEECJduXLlGDRoELt27aJHjx68/vrrVK5cmdjYWI4ePco///xD//79swxZVJTpDCTMnDmTESNGMGrUKABq1qzJzJkz+eSTT0hISKBUqVL06NGDgQMHUrNmTY4fP86cOXP0zqxChQqZLnUUGRmyU1/fAQdZbSCEKO7SZ0k9+iOMx0+eAvD4yVMe/RGIOuldnRlShlzNlZt0xYV0Mhd/Je09nRfu7u4sX76cVatW0aVLFywtLVGr1SxbtgxI219GCCGKkmHDhhEaGsonn3zCd999h7m5eZZp1Wo1s2fPJioqyqCdKQ0bNqRhw4YZjqeHOHJwcMDNzc1g+QkhhBAv++KLL2jevDkBAQEEBgaSmJhIhQoVaNmyJbNmzSqWqxHgpYGEqlWrsm/fPsLCwtBoNHTp0oVSpUrRt29fbt68Se3atalQoQLbtm3jwIEDTJ8+Xa/NMJKTk7lw4QKPHz8mNTU10zTu7u4GqVBxIZ36QghhPDZlLKlasazOY7NSurPqDL2aq6St+pJO5uKvpL2n0+m7pwyAvb09Xl5eLFiwAA8PD1xcXDh37hznz59n1KhRNGnSpHAqIYQQedSlSxf69+/Pzz//zLBhw5g+fTodOnTQCXmcmprKb7/9xvLly7l06RJubm7SsS9EMaHvPhhC5ETfqAimytzcnGHDhjFs2LDCLkqByhCUtXTp0hlGTWxsbHRiXA8ZMkTvGVSnT5/mvffeIyoqKsNmzekUCoUMJOTCiw13alKs9ndqYhQAZqVtDb6xqVqjIT5JBaDzOzYxGQDr0krMTGwzVSGEyMok97ZMcm+re1C+8Oq1ikDflQYlsZO5pK3CKKmTHvTdUybd6NGjsbGxwdfXF19fX+zt7ZkxYwaenp4FWm4hhDCUr776CktLS3bu3ImnpyelS5emVq1aWFlZERcXxz///MPz58/RaDT06tWLhQsXFnaRhRAGIvtgCFGyZbm7m0ajQaVSZXrO0tJS7wzmz59PSkoK7733HvXr18/Vc0XmXmy4Y24+Svt9Zj2RkVUAqNRnIWDYTv34JBWrgy8CEHErbcRw58nrnHqcls/EN1phYyWvrRCi6NOkqkl5HMuz+495/PgxAI8fP+bZ/ceoHkZj8Uo5FAoFarWa6OhoHj16pJPu0aNHPHv2jPLly6el+/8DsU/+e6aT7sl/z1BrNCY1CKvPKgJ9VxqUxE7m4rQKo6QNiuRGXmZPeXh44OHhYaQSCSFEwVIqlXz55Ze4u7uzadMmTp48SXh4uPa8jY0NnTt3ZtiwYXTq1KnAylW9evUiPbtVFD0yO18IUdLoDCSo1WpWr17N3r17+eeff7JcQXDt2jW9M7h37x4ffPABo0ePzldBRUarAs7is/MMAEPn7WTqm046M2zTO8MAUp7877fqYTRAhs4w+F+nR0xMjE5HmBBClBQpj2MJ7+hNUvTv2JvbaI8n+f1O+G5vmt2cC+YKoqOjmTlzJpcuXcLa2lqb7tixY0RFRbFq1SoUCoV2IPbPB7HYVqysTffng1jik1QmNQirzyqCnNKU5BVsRWEVhr4DBNkNipTk11gIIcT/tGnThjZt2gAQFRVFYmIiZcqUwdbWtpBLJkTBkNn5QoiSRmcg4dtvv8XPz49atWrh6OjIn3/+Sc+ePQG4desWz549Y/z48bnKoFmzZjx//txwJdbDtm3b8PPz4969e9jb2zNs2DA8PT2z3QjqRX/99Rfff/89J0+eJDExkTp16vDWW28xbNgwk+pUj01I5ml0AgBPoxOITUjWOZ/eGQZw5/nDtN9jNmNVKhQgQ2cYwNOnaZuP+vj4UKlSJW1HWLpje7dweI8/AOu+eA+XgW/jPGC4EWsphCgoJaXt1Nfbth1427ZDjulatGhBixYtckznPGC4ybeX+qwiyClN+sDJi58XvXr30n5emNIKNn071fVNVxRWYei7aiK7QZGi9BoLIYQoGOXLl6d8+fKFXQwhhBBCGJHOQMKePXt44403WLp0KdevX2fw4MF8+eWXmJubEx8fT79+/ahatWquMpg9ezaTJ0/Gzc2NevXqGbTwmVmzZg3e3t40adIET09PLly4gLe3Nw8ePGD+/Pk5Pv+vv/5iyJAhqFQq+vfvj62tLYcOHWL+/Pn8999/TJ061ajl16jVqOPjAEh94XdqbAxmZW10OuMy2yw0M/7RJ1kf/RsAkx9t4R3bjpl2jl26dImLFy8CEBgYSKtWrTKkSUqMJz76GQDx0c9ISozPfSWFECanqLedwvQUhc8LfTvVi1PIIn1XTegzKFIUXmMhhBCGodFomDZtGoMGDcLFxSXP10lKSmLz5s0kJCTI90MhhBCiiNEZSIiNjaVr164oFArq1q2LRqPhr7/+olGjRlhbWzN06FB8fHzo3Lmz3hk0a9aM7t27M3z4cBo2bJhpGoVCwcaNG/NXEyAiIgIfHx8cHR3ZuHEjSqUSjUaDl5cXW7duZeDAgZl2jr9o+fLlxMfHs379em08x2nTpjFkyBB++OEH7YZ5xqKOjyPSdxkAMREP0n4HbCXy3DEqTf8EXhhIyHSz0EzEqZ8TqU67uY9UxxOnznyFSHJyMklJSUDaF7zk5OQMaUpbWeuE5ihtZZ0hjRCiaCkObacwPUXh80LfTvXiFM7JkKsmisJrLIQQwjCSk5OpUKECU6ZMoW7dugwePBg3NzeqVaum1/MvXbrE/v372bNnDxqNhg8++MDIJRZCCCGEoekMJFSrVo0nT54AaRsqt2jRggMHDtCoUSMAKlSowJUrV3KVwXfffceWLVvQaDSEh4cbdbPlgIAAVCoVkydPRqlUAmmDFFOnTiUwMJAdO3bk2Bl27do1KlasqLMpVOnSpRk0aBBff/01N2/e5LXXXjNaHYyhrFkpnTjfZc1KZZrO0tJSJ853Zq9VUQjNIYTIHWk7hb7S99R5eT8dIMOeOkXh80LfTnV9wzkBRNxK2+Rx58nrnHqc9vcorqF+isJrLArHgAED+PXXX7WP+/bty969ewv9WkKIvCtVqhSff/45Y8eOZd26dXz33XcsWLAABwcHmjZtSu3atalcuTJlypQhNTWVuLg4Hj16xM2bN7l8+TIxMTFUrVqVd955h+HDh1O2bNmcMxVCCCGESdEZSOjWrRu//PKLdh+EPn36sGTJEpo1a4aDgwPbtm2jUqVKucrgp59+omXLlixdupRXXnnFcCXPxJkzZ1AqlTg5Oekcr1u3Lg4ODpw+fTrHa1SoUIF///2XhIQEypQpoz2evvF0QX3hWXUkDJ/Q4wAM/cGfqd26MGd63q5l6DjfQojipTi1nSJvNKlqUh7HApDy5H+/VQ+jAbB4pRwKxf/21Hl5Px0gw546JVFx2EcofbAIyDBg9PJgkRBZiY6ORq1W6zx+mb4DBPpcSwhRcGrVqsXnn3/OzJkzOXz4MCdOnODSpUuEhoaiUql00lpbW9OgQQNtOKS2bduWqM8RjUaNOinrcIhmpcuhUJgVYImEEEKI/NEZSBg5ciTHjx/n4cOHVK1alcGDB7N7927effddIK1DSJ9Y2S9KTk7Gw8PD6IMIAHfv3sXBwSHTmfR16tQhLCyM5OTkbFdFvP3223h5efHpp5+yYMECSpcujUajYf/+/TRt2pT69evnqkwvf5nKilKp1PlSFZv0nKdxaeGInsbFE5tUsBtW55VGo9G7zkIUN8ZccWVMpth2gv7tpz5ebmNNTWG1nel/l5THsYR3TNtM+M7zh2m/x2zGqlQoAM1uzgVzw/79CqPOFhYWGd4H6YNdGo1G+28gT++XnPYMKIw65/a9nz5YBGQYMMrtYFFu6ltU20+hK31Q0qZUGczM/tc5ZlOqDBqNRuf9k9MAQXrIMOuyZXWuZV22LLGJySYVMkyIkqhMmTL06dOHPn36aI9FRUWRlJSEmZkZ1tbWOqvdSyJ1UgyRh77O8ryd6yeYW5UvuAIJIYQQ+aQzkFC9enX27dun/ZJvaWnJ5s2bCQwM5PHjx7Rp04Y2bdrkKoMePXpw4cIFBg8ebLhSZyEyMpKmTZtmes7W1haNRkNUVBT29vZZXqNPnz7cu3ePpUuXcuHCBcaMGcO///7LrVu3+Omnn3LdsRAeHq5XuubNm+vcRNuULkVV23I6j4sClUrF5cuXC7sYQhQKR0fHwi5Cnphi2wn6t5/6eLmNNTWF1Xbm5e9y6dIlLl68CEBgYCCtWrXK02q2wqhzZvVNf28qFIoM79PsZudDxnBOOe0ZUJh11nfVSbrMXufcyk19i2r7KXSlD0p+TVu+rvnCPl43ALUGzBXa/1dWVlY6AwRWVlY6K1/SQ4Z19fyMrp6f6eSzOvhisQ0ZJkRRVr58+cIughBCCCGMSGcgYceOHTg7O1OlShXtsfQY13n1ySefMGTIEHbu3En//v2zTGeIDh6VSqWN7/0yCwsLbZqc2NraYmNjg4WFBV9/nTaDYNSoUXmaUZtXk7p2YlLXTjknFEKIfCpObacwvuTkZJKSkgBISkoiOTm5kEuUe7kN5QQZZ+dDxnBOprxnQG5XnRSH11mYpvT/VzVr1sTT01Pn3MyZMyVMmhBCCCGEECZKZyBh7ty5fPXVVwwcONBgGYwdO5bo6GjmzJnDnDlzMk2jUCi4evVqvvOytLTMsrMrJSUFSNskKjs+Pj6sX78ePz8/WrZsybFjx1i5ciUbN24kJiaGBQsW5OrmplGjRll20L1InzRFgVKppHnz5oVdDCFELphi2wn6t5/6MPU2trDazpf/Lv7RJ1kf/RsAkx9t4R3bjhn22LG0tNQJVZDXiQCFUef0+hZGKKf0/AurzrlliNfZ2PXVaDRcuXIFKysr6tWrZ7R8hBBCCCFE8ZXTfiamwhj7qjRs2FDnsbm5ORUqVKB58+YMHDiQN954Q+f87t27mTVrFhMnTuT999/XO58pU6Zw8OBB2rVrh7+/f5bpEhMT8fX1Zd++ffzzzz8olUrq169P3759GTp0KKVLlwbS9vi9f/9+jvk6OTnx448/6l1OkTOdgYTXXnuNixcvGnQgoUGDBrz66qsGu1527OzsiIyMzPTcf//9h7m5ebbLLW/cuMHKlSv5+OOPtUv4X3/9dbp06cK8efPYtm0b7du3x93dXe8yKZVKkw6nYWgKhaJE1VeI4sAU204oWe2nqbSdcernRKrT4vpHquOJU2fcn6dFixZ5CmX0MlOpc0EqSnU2xOtsqPo+ePCAzz//nEWLFlGuXFrYx7i4OEaPHs2VK1cA6NixIytWrNDeXBRFMTEx7Nu3jy1btqDRaHQ2IhZCCJHRyZMnWbt2LRcuXCA5OZlatWrh7u7OmDFjTH4SiRDCdOS0n4mpMNa+KtbW1owZMwZIW5X8999/c/z4cQ4fPszQoUNzvVfuy+Lj4zl27BiVK1fm7NmzREZGYmdnlyFdUlISb731FleuXKFNmzZ0796d5ORkfvvtNxYsWMCuXbvYtWsXlpaWvP3228TGxmqfe+bMGc6cOYOLi4tO2GYHB4d8lV1kpDOQ8PXXXzNmzBiWL1/OuHHjcpyBqo+FCxfm+xr6ql+/PqdOnSIpKSnDjeSdO3eoUaOGNkxHZk6cOIFaraZLly46x83MzPDy8mLbtm0EBwfnujNMCCGys337drp27ZrtHgTpvv32WzQaDR999JHB8pe2U6Qra1YKe3MbncfCcPtCGJO3tzfe3t7ax15eXnh5eWVIp8+qE1OzcuVKLl++rNMptHTpUq5cucLgwYOJjIwkJCSEVatW5WpmlKm5e/cuwcHBJCQkYGVlVdjFEUIIk7Z48WLWrl2Lg4MDHh4eKJVKDh06xJIlS7h8+TI+Pj6FXUQhhCgSypYty9SpU3WOPX36lJEjR7J161b69u1L27Zts3h2zo4ePcrz58+ZPn06s2fP5sCBAwwdOjRDOn9/f65cucL48eOZMWOG9rhGo2Hv3r3Ex8drJymNHj1a57k+Pj6cOXMGV1fXAtmjtyTTWROzdOlSKlasyIoVK2jfvj2dO3fO8PNyR5EpadeuHSkpKYSFhekcDw8P59GjR7Rv3z7b56empgL/i4OcGYkRLIQwpDNnzjB37lw2bNigV3pzc3P8/Pw4deqUwcogbadI97ZtB0JqvK/9MfUO5oJSFPYLiImJ4f79+9qf9M2hX6bPqhNTc/jwYbp166btXI+Li2Pnzp289dZbfP755yxfvpxOnToV+Rn8LVq0YMOGDTLoKoQQemjcuDHDhg0jKCiI2bNn8/HHH7N3717q1q3LgQMHuHTpUmEXUQghiqxKlSppO+uPHDmSr2sFBQVRsWJFPDw8qFixIsHBwZmmO336NECG/XUVCgXu7u689dZb+SqHMAydgYSnT59SunRp2rRpQ7NmzahTp06Gn9q1a+cpo4iICH7//XfOnj2b6Y8huLu7U6pUKVatWqW9yVer1SxbtgyAIUOGaNPev3+f4cOH89lnn2mPde7cGYDvvvuOuLg4nWv/8MMPQFqHmxBCGMq6deuwt7dn+vTpeqWfPn061atXx8/Pz2BlkLaz+PP29qZ69eranxdnrpdk/tEnmfxoC5A2O98/+mSm6dL3C0j/McXwROXKldOuarK3t9eGAHpZ+qqT9J+isOokKipKu8E1wIEDB0hOTuadd97RHmvevDn//vtvgZbr9u3bfPfdd7z22mt069Yt27Tbtm2jZ8+eNGnShK5du7JmzRrtIKwQQhQH165dY/Xq1Xz22Wc63xOBLAe386NPnz7MmzdP5zPZysoKV1dXAG7evGnwPIUQoiSpUaMGkBbuOK8SExM5duwYXbp0wczMjC5dunD69GmePXuWIW16e/7nn3/mOT9hfDqxKoyxAUV4eDgffPABt27dyvS8RqNBoVBw7dq1fOdlb2+Pl5cXCxYswMPDAxcXF86dO8f58+cZNWoUTZo00ab99ddfOX/+POfPn2fKlCnY29vTuHFjxo8fzw8//EDPnj3p0aMH1tbWnDt3jt9//52mTZvy9ttv57ucQgiR7vz58/Tv31/vUHLm5ua8/vrr/PLLLwYrg7SdxV/6bPUXHwv9Z+cbal8IY/Ly8qJr1644Ojqyf/9+WrdunWm6t207FLmVJlWqVOGPP/4A0lZA/fjjj3To0IFq1app08TFxelsDm1sCxcu1BnQrVChQpZp16xZg7e3N02aNMHT05MLFy7g7e3NgwcP8h1zVgghCltqaiqffvope/fuRaPRAGmzRz///HMgbbJir169WLx4Ma+//rrRyxMVFQVAxYoVc/U8lUplsDIolUoUCoXe6TUajUHzLwwlrc4lrb5QvOpsipOCTFF6e1q2bNk8X+Po0aMkJibStWtXAFxcXAgICCAkJCRDCKI33niD0NBQ5s6dy5MnT3jrrbcK9Pu90E/WQa8NZPbs2dy9excPDw9effVVo/+HHT16NDY2Nvj6+uLr64u9vT0zZszA09NTJ52zszN+fn40aNBAZ5bbjBkzaNq0KZs2bWLPnj0kJydTvXp1pkyZwrhx44r0Jn5CCNOTmJiIjY1NzglfYG1tTXx8vEHLIW1n8ZY+W/3x48fZzlYvaWRPiKKhZ8+erF+/nhEjRpCSkkJ4eDjr1q3TSXPy5EntZu8FoXfv3jRu3Bi1Ws3MmTOzTBcREYGPjw+Ojo5s3LgRpVKJRqPBy8uLrVu3MnDgwAIttxBCGNratWsJCAhg7NixjBgxgm3btrFmzRrt+UqVKlGvXj1+/PFHow8knD17ll9++YUaNWrkGJrzZeHh4QYrR/PmzXPV76FSqbh8+bLB8i8MJa3OJa2+ULzq7OjoWNhFKBKCgoIA8vVdNTg4GKVSqQ2T37lzZ5RKJUFBQRkGEtzd3bly5Qr+/v4sWbKEdevW4eHhwbBhw7SrI0ThyzCQcOvWLTZu3Mgff/xBQkICS5Ys0c7CCw0NpVWrVpnurp2V8PBwJkyYkGHjDmPy8PDAw8Mj2zSNGzfOMsZ4z5496dmzpzGKJoogfTewFCIvKleunOWKrazcunUr17Os9CFtZ/Gl72z1kqYozs4viaZNm8Y///zDwYMHMTMzY+LEiXTs2FF7ft++fdy6dYtZs2YVWJnSV6mkpKRkO5AQEBCASqVi8uTJ2s2iFQoFU6dOJTAwkB07dshAghCiSNu9ezddunThww8/BMDCIuNcxddee40dO3YYJf9Tp05x+PBhrly5wtmzZ2nRogXe3t56r/YVQgjxP8nJydy5c4dNmzYRHBxM/fr16dGjR56ulZSUxJEjR3ByctKuaihbtixOTk6cPn2aqKgoypcvr/OcTz/9lG7durFq1SpOnz7NunXr2LBhA4MGDeLjjz/O9SRMYXg6n/Lnz59n7Nix1K1bl7Zt27J582btrFe1Ws13331H586d+fjjj/XOoHLlylSpUsWwpRaiAElIEGFMnTp1Yu/evdy6dYt69erlmP7OnTscOXKEPn36FEDphBCi8JUuXRofHx+io6MxNzfPsLzaycmJmTNnavdrMSVnzpxBqVTi5OSkc7xu3bo4ODhoN5UTQoii6v79+zl+LzUzMyMxMdEo+Z89e5YNGzYAUKpUKdq2bZunUBiNGjXSDvjmV26vo1Qqad68uUHyLiwlrc4lrb5QMutcUjx69IiGDRtmON6uXTu+/fbbPEeWOX78OAkJCbRs2ZKIiAjt8RYtWhAWFkZoaCiDBg3K8LwOHTrQoUMHwsPD2bBhAz///DM7duzgjz/+YPv27VhZWeWpPMIwdAYSFi9eTJs2bfD19SUyMpJNmzZpz5mZmdGvXz9++umnXA0kvP322+zevZs333wTMzOznJ8ghImRkCDCmMaOHcvevXuZOHEiK1eupEGDBlmmvXPnDhMnTgTQ2WRUCCGKiytXrtC0adNMz9na2mZ6vHLlyowePdqIpcq7u3fv4uDgkOkNWJ06dQgLCyM5OdmgoT8LIx5xbuMmG5Ipx2AWwthMIc63nZ1djqtrT548iYODg1HynzJlCu+88w737t0jMDAQPz8/9u/fz9atW3M1oVGpVBba31OhUJjEa1mQSlqdS1p9oWTWuaiytrZmzJgxQFrfb8WKFWndujWvvvpqvq6bHhpp5cqVrFy5MsP54ODgTAcS0jVq1IiFCxcyZswYJk2axI0bN9izZw/Dhw/PV7lE/ugMJPz555/MnTsXINObgUqVKvHo0aNcZTB48GBCQkL46KOPcHd3zzKdKc4iEwIkJIgwrrp16zJ37lw+++wzBg4cyBtvvIGrqyt16tShTJkyJCQkcOfOHY4ePUpgYCAqlYpZs2ZlOmNACCGKOg8PD6pUqYKrqyvdu3fHyckJc3Pzwi5WnkVGRmY7MKLRaIiKisLe3p6oqChUKhUJCQmkpKTw5MkTzM3NcxVSFAwb51tfuY2bbEimHINZCGMzhTjfPXv2ZPPmzYSEhODm5pbh/IoVK7h27Zq2k8rQFAoF1tbWNG7cmMaNG1OzZk1mz57N8uXL+eKLL4ySpxBCFCdly5Y1eDj65ORkDh8+TN26dZkxY0aG84sXLyYsLIzY2NgcwxU1bNiQ6dOn89FHHxXK91yhS2cgoUyZMjx58iTLxJcuXcr1zUybNm20/963b1+G8xqNBoVCwbVr13J1XSGEKC4GDx5MxYoV+eKLL9i3bx+BgYEZ0mg0GipXrsynn34q+xAIIYqtkJAQ7c/WrVspW7Yszs7OdO/enS5dulCmTJnCLmKuqFSqLEMBpMcRT59NP3XqVM6cOaM937lzZxwcHAgNDTV+QYUQIo+mTJnC4cOHmTp1Ks7OziQlJQGwevVqDh8+zKVLl6hatSoTJkwokPL06tWL2bNnc/bs2QLJTwghREYnTpwgPj6ePn36ZDrIfOXKFVauXMmhQ4e0k84z2zMhXXo4o9KlSxuryEJPOgMJbm5ubNy4ETc3NypVqqST8MiRI+zatYv/+7//y1UGX3/9daEtdRZC5J5sLl04unXrhrOzM8eOHeP06dP8/fffJCYmYmVlRY0aNWjbti1du3aV5aFCiGKtevXqjB49mtGjRxMZGcnhw4c5dOgQH330ERqNhg4dOuDm5ka3bt2Msum8oVlaWmYZdiclJQVAuyHojz/+aJA8DRnnW18Fnd/LeUsMZiEKj62tLVu2bGHmzJkcPXpUe3zp0qVA2kbL3377bZbh6fIqPj4+070Q4uLigMJtl4QQoqRLD2vk6uqa6XlXV1dWrlxJcHAw7u7u3Llzh2HDhjFkyBAmTJigM3no+fPn2u/JLi4uxi+8yJbOQMKMGTM4d+4cAwcO5LXXXkOhULB582ZWrFjB+fPnqV69eq6Xu2QX70oIU6bWaIhPSrv5f/F3bGIyANallZgVw0Gykri5tKkMnlhYWNCtWze6detW4HkLIYomjUaNOimtnU5NitX+Tk2MAsCstG2RndBhZ2eHh4cHHh4eJCYmcvz4cUJDQ1m8eDFz586lZcuWuLm54ebmRq1atQq7uJmys7MjMjIy03P//fcf5ubmWc68yqvCjPNdGCQGsxCFz97envXr13Pt2jV+//13oqKisLW1pUWLFrRo0cLg+d27d4/hw4fz8ccf069fP+1xtVqNj48PIKGThRDCmMLCwkhISMhw3NbWlvHjxxMaGkq1atVo1KhRps9v2rQp9vb2nDhxgri4OOzs7GjRogWrV69m69atdO7cmerVqxMbG8uRI0e4f/8+I0aMoEOHDsaumsiBzkCCnZ0d27dvZ9myZfz8889oNBpCQkKwtrbGw8MDLy+vXN/szJkzh8GDB2f7BeLEiRNs2rQJOzs7Jk2aRI0aNfJUmXTbtm3Dz8+Pe/fuYW9vz7Bhw/D09MxVjN0rV66wfPlyzpw5Q1JSEvXq1WPMmDEMHDgwX2UTRUd8korVwRcBiLh1HYCdJ69z6nFah8zEN1phY1X8blxL4ubSpjJ4Eh8fr/0QzWkW1dmzZ2nbtq1B85e2UxQnpjJAaGzqpBgiD30NQMzNtH2sYs6sJzIybYPJSn0WAkVzIOFFVlZW9OjRgx49epCamsqZM2c4dOgQmzdvZvHixdSrVw9XV1fc3NxManZ6/fr1OXXqFElJSRmWYt+5c4caNWpoQxwJIURRFBUVhZWVFaVKldLuU5CV27dvEx8fT5MmTfK1/02pUqWoVKkSH3zwAZs2baJ169YoFArCwsIIDw+nfv36BRZKSQhR9JmVLoed6yeFXYwcmZU2nb6Zy5cvZ7pHlYODA82bNyc2NhZ3d/csJzQpFApcXV356aefOHLkCH379uWHH37g8OHD7Nq1i9OnTxMYGIiVlRVNmzblgw8+oHfv3saultBDhjsXW1tb5syZw+zZs3n69Kk2LndeZ7Pt2LGD1q1bc/v2bZ4+fUqHDh10Np2LiYlhypQp2g3njh07xs8//5zrvRjSrVmzBm9vb5o0aYKnpycXLlzA29ubBw8eMH/+fL2uERoayrRp07C0tKRXr16UL1+eY8eOMXPmTMzMzBgwYECeyiZEUVASN5cu7MGTc+fO8dVXX2k3DjI3N6dz5858+umnGQZWHz16xDfffMP+/fsNureMtJ2iuDGVAUJheObm5nTo0IEOHTowe/Zsrl69qt1XYc2aNVSpUgU3NzfmzJlT2EWlXbt2nDhxgrCwMJ2l3eHh4Tx69IihQ4cWYumEECL/OnTowLvvvsuUKVOyTefl5cX+/fsBqFq1KkuXLs3zaoUqVaqwfft2duzYQUBAAFu2bCE5OZmaNWsyceJExo0bR9myZfN0bSFEyaNQmGFuVb6wi1Eorl+/nqv0gwYN0ivyjD7XnTdvHvPmzdM55uLikqfwRVOnTjX4htEiczoDCd988w29evWiRYsWKBQKKleubJBMFi1axLNnzwAwMzNj/vz5DB48GICLFy/y/PlzNm7ciJ2dHf3792fdunV8+OGHuc4nIiICHx8fHB0d2bhxI0qlEo1Gg5eXF1u3bmXgwIG0atUq22s8ffqUDz/8kEqVKrFlyxaqVasGpH3x2b59O3369Ml1uUTRdmzvFg7v8Qdg3Rfv4TLwbZwHDC/kUglDKszBk7/++ouxY8fy/PlzqlWrRuXKlbl37x5HjhzhypUrBAQEULFiRVJSUvDz82PVqlUkJCRQu3Ztg5VB2s7iqziHvclJYQ8QioLTpEkTmjRpwrRp04iIiNAOKpgCd3d3li9fzqpVq+jSpQuWlpao1WqWLVsGwJAhQwq5hEIIkT8ajQaVSsWGDRs4efIkCoWC1q1bM3z4cG1n/sWLFwkMDKRp06Y4OTmxZ88eJkyYwL59+/I8gdDS0pK33nqLt956y5DVEUIIIUQ2dAYSNm/ezIYNG6hatSo9e/akZ8+eBolpaGtry/bt2ylXrhwzZ85k4cKF9O3bFysrK6KjowGoVasWCoWCAQMGcODAgTwNJAQEBKBSqZg8ebI2LIhCoWDq1KkEBgayY8eOHDvDNm3aRFxcHN988422IwzSZr8NGzYs12USRV9SYjzx0WkDYfHRz0hKjC/kEoniZP369Tx//pxvv/1WG+NVrVazcuVKli9fztq1a+ncuTNffPEF9+7dw8bGhpkzZzJixAiDlUHazuKrpIS9yUxJXF1VEj179gxLS0vthpsvbtZsLBEREezZswdIa68hbcVLelxuBwcH7Uwte3t7vLy8WLBgAR4eHri4uHDu3DnOnz/PqFGjaNKkidHKKYQQBWX9+vWoVCrKly+PWq3myJEj7Ny5k82bN1O5cmUuX76MQqFg8eLF1KlTh4EDBzJo0CA2btzI+++/X9jFF0IIIYSedAYSTp8+zfHjxzl48CC7du3Cz8+PatWq0bNnT3r16kWzZs3ylMlbb72lDc8xY8YM+vbtS3h4OK+99hoajQZAOyOyZs2aRERE5CmfM2fOoFQqcXJy0jlet25dHBwcOH36dI7XCA4OpmLFigbb7FSlUumVTqlUFotZoekzUoqyl1+L0lbW2FasrPP4RcWhzhYWFjp1Tv9/qdFotP9+8VxKSkqBlq8gpL+GKpWK5OTkPF0jL5s9nj59mrZt2+psFGdmZsaUKVMIDQ1l06ZNbNy4EYVCwZAhQ5g2bVqeZ25lxRTbTtC//dSHqbexhm5HTL2+UDBt58v/rwv772LIOhd2XfSRm/pm134+e/aMFStW8NFHH2nTJScnM2PGDEJCQjAzM8PDw4N58+ZhZmZmkLJn5/79+yxfvlznWGxsrPaYk5OTzpLv0aNHY2Njg6+vL76+vtjb2zNjxgw8PT2NXlYhhCgICoWC1atX07VrVwB++eUXZs6cyZIlS1i4cKF28mD6itpXX30VZ2dnjhw5IgMJQgghRBGiM5Dw4kZ2KSkpnDp1ipCQEPbv38+6deuoXr06PXv25IMPPtA7g9KlS+vc1CkUChQKBWXKlAEgNTVVZ6OlvHbgAdy9excHB4dMb0br1KlDWFgYycnJWd6sxsXFcfv2bbp162awG9H0mOc5ad68eZ46IU2NSqXKdMOVouTl18J5wPBsQxkVxzqnd06l/399UXGob6NGjXLczPhFKpVKr//Ljo6OuS7L48eP6dmzZ6bnnJycuHr1Ku3bt+eTTz7h1VdfzfX19WGKbSfo337qw9TbWEP/vzL1+kLBtCU3b97U/rawsCj0v4sh61zYddFHbuqbXfu5Zs0a9uzZw5QpU7R1Xr16NQcPHqRjx45ERUWxY8cOatWqxdixYw1S9uy0a9cu1/FkPTw88PDwMFKJhBCicPXt21c7iADQr18/jh07xuHDh3XSvXhf0aBBA8LCwgqqiEIIIYQwgCx7fCwsLOjcuTPz5s0jNDQUPz8/SpUqxbp163KVQZs2bfjxxx+5f/8+sbGxLFmyBEtLS1QqFc+fPyckJARra2tSU1OBtE1Ha9asmafKREZGUr58+UzPpW/mHBUVleXz01dCVK9enbt37zJ58mRatGhB69atmThxIjdu3MhTuYQoKtQaDbGJycQnpc0gjU9SEZuYTGxiMuqXViYUZUqlEktLS52f9IGF7M4ZQ0pKinZg9WVly5ZFoVCwYcMGow0igLSdQgjTFhwcTPfu3bXtVHJyMps2baJv376sX7+eXbt20bx5c3bu3Fm4BRVCiBJIqVRSoUKFDMcrV65MUlISQIYVzpD2Hbg4rnIWQgghijOL7E7euHGDkJAQQkNDuXLlCqVLl6ZXr165yuCjjz5ixIgRuLm5AWmbH7711lsMGTJEG1e2TZs2vP322zRo0IDAwEDefffdPFVGpVJl2eFnYWGhTZOVuLg4AP7++28GDx5My5YtGTNmDHfu3OHAgQOcO3eOgIAAqlevrneZ9J35bMyOyoKkVCpp3rx5YRcjX3L7WhSnOscnqVgdfJGIW2kzLXeevM6px2kzhya+0QobK8tiVV+1RqMzaJL+OzYxbWWUdWklZgpFsahzdkyx7YTcrxzJjqm3sYZ+j5l6faFg2s70Dor69evTvHnzQv+7GLLOL9dlVcBZfHaeAWDovJ1MfdOJSe5tDZJXXhmqvv/++y9Vq1bVPj506BCxsbFMmjQJSJvh2qFDh1xPdhFCCJF/jRo14sCBA7z77rvayTGRkZEEBgbSvn17IC1EXcWKFXWed/XqVapUqVLg5RVCCCFE3ukMJGg0Gs6fP8+hQ4cICQkhIiICS0tLnJ2dGTt2LC4uLpQuXTpXGbz66qv88ssvBAUFodFo6Nu3L5UqVWLw4MFcuXKFV199lfr16/P9998THByMh4cHEyZMyFNl0lc6ZCa9M6FUqVI5XufkyZMsXboUV1dX7bEtW7Ywf/581q9fz2effaZ3mdJnN5cUCoWiRNUXSl6di1N90wdOgGwHT4xd56tXr2Y6k/bKlSsA7Nq1K9OZXG+++aZB8jfFthNKVvtZnP5f6asg6vzySqPCZsw6xyYk8zQ6AYCn0QnEJuQ9VKShGKq+FStW5NatW9rHW7ZsoWXLltSrV0977Pnz53q1U0IIIQxr3LhxTJs2DXd3d9zc3EhNTWX//v08e/aMixcvsmDBAvbu3UtSUhLbtm3D3d2dQ4cOcerUKQYOHFjYxRdCCCFELugMJHTq1Ilnz55hYWFBp06dmDp1Kq6urlhbW2f1fL1UqVKFUaNG6RyrU6cOderU0T5+//33873Rkp2dHZGRkZme+++//zA3N88yfAekhfAA6N27t05HGKR12C1cuJDff/89X2UUwtQd27uFw3v8AVj3xXu4DHw72z0iRP4dPnw4QwxZ+N8y8NmzZ2c4rlAoDDaQIG2nEEWfTRlLqlYsq/O4uOjatSu7du3i448/5vnz55w7d44lS5bopDl//jxNmjQppBIKIUTJ1aNHD+bOncvixYtZv349kBbu0s/Pj4iICL744guqV6/O9OnT+eCDD5g3bx4AZcqUYfz48YVYciGEEELkls5AQpMmTejVqxfdu3enXLlyhVWmPKtfvz6nTp0iKSkpw8qJO3fuUKNGDW2YjszUrFkTpVLJw4cPM5yztLSkQoUKxMfHG7zcQpiSpMR44qOfARAf/YykxOL/ni/MwZMpU6YUSD7ZkbZTiKJvknvbQg9lZCwffPABV69eZe/evQD079+f3r17a88fPXqUy5cvZxhcEPobMGAAv/76q/Zx3759tX9vIYTIybBhw3B3d+fGjRtYWlrSsGFDzMzMaNOmDe7u7tp0e/bs4aeffgLSJpvUrl27cAoshBBCiDzR6Rny9fXN9wU//PBDHj16hK+vL5aWlsyYMUOv5xni5q9du3acOHGCsLAwnVmx4eHhPHr0iKFDh2b7/FKlStG2bVvOnj1LVFSUzgzcxMRE/vvvP1q1apXvcgphykpbWWNbsbLO4+KuMAdPTGEgQdpOIYQpK1++PLt27SI8PBwLCwsaNGigc97BwYGRI0fSp0+fQiph0RcdHa3duyz9cXFX0gZPSlp9oWTWuTBZWVnRsmXLbNPUqlWLmTNnFlCJhBBCCGFoGaaYJicn4+fnx759+7h79y4ajYY6derQt29fRo8enWOs2xMnThAbG0tcXBx2dnbs27cvx0IoFAqDDCS4u7uzfPlyVq1aRZcuXbC0tEStVrNs2TIAhgwZok17//59PvzwQ+rXr8/nn3+uPf7222/z22+/sXDhQhYsWIBCkRYr3c/PD5VKRY8ePfJdTiFMmfOA4SUulFFRHDy5ePGiwTrnpe0s/kxxI14hckOhUNC4ceNMz9WvX59PP/20gEtUPGjUatTxcdhYl8HMzEx73Ma6DKmxMZhZl0XxwvHipKQNnpS0+kLJrHNJc/LkSVatWsXly5dRqVQ0adKE8ePH4+bmVthFE0IIIYolnYGE+Ph4Ro8ezeXLl6lZsybOzs4A3LhxA29vb0JCQtiwYQNlypTJ8oIBAQEkJiZiZ2cHpM1oLSj29vZ4eXmxYMECPDw8cHFx4dy5c5w/f55Ro0bpxM799ddfOX/+POfPn2fKlCnY29sD4OLiwqBBg9i9eze3b9+mQ4cO/PXXXxw6dAhHR8ccZ+YKIYqeojJ4cv78eYKDgwkODubx48dcu3bNINeVtrP4M8WNeI1Fo1GjTooBIDUpVvs7NTEKs9K22kEuIQSo4+OI9F3GereO4NZR51yk7zLsPKdhblP0wp1mp6QNnpS0+oJx6iyrG7L36NEjduzYwZ9//klcXJx2n68XKRQKNm3aZLA8165dy5IlS6hTpw7Dhg0jISGBoKAg3n33Xb755hudkErGkP4+y4xZWZti930ju/pCyatzSasvFM86CyFyT2cgYfny5Vy/fh0fHx+6d++ukzAkJIQZM2awfPlyPvrooywvWKVKFeOUVE+jR4/GxsYGX19ffH19sbe3Z8aMGXh6euqkc3Z2xs/PjwYNGlCpUiWdc1999RWNGjXip59+Yu3atdjZ2eHp6cm7776b44oMYVze3t54e3trH3t5eeHl5VWIJRLCeDQaDefOndMOHjx9+hSNRoNSqaRz584GzUvazuKtOG/E+zJ1UgyRh74GIObmo7TfZ9YTGVmFSn0WAnIDZMpmzZqV5+cqFAq+/vprA5ZGFEclbfDEWPXVp2O9sDrfjVFnQ69uKE4DE5cvX2b06NEkJCRkOoAAaXtmVa1a1WB5JiYmsnPnTt566y1mzZql3ctr3Lhx9OvXj2+//ZZ+/fphbm5usDxflv4+y0yl6Z9AMetwza6+UPLqXNLqC/rX2axU2RzTCCGKLp2BhH379jFq1KgMgwgAbm5ujBgxgl9//TXbgYTcunHjBrt27crXjePLPDw88PDwyDZN48aNOXXqVKbnzMzMGDVqFKNGjTJYmYRhxMTEcP/+fZ3HQhQnarWaM2fOEBQUREhICP/99x8A5cqVY8CAAXTr1o1OnTphbW348EvSdhZfxXkjXlG87NmzJ9PjCoUiyw4qhUKBQqHIMLgpREEpTp3C+tKnY13fzndT/vtpUtWkPI7FptRLqxtKlUH1MBoLexsU5rlf0VGcwi4tWrSIhIQEJkyYQPfu3ZkyZQrDhg3T7luzceNGLl26xObNmw2Wp5WVFT/99BMVKlTQmSHt4ODAG2+8we7du7l58yYNGzY0WJ5CCD0pitcqNyGELp2BhP/++4+6detmmbhevXraTq2s6Lu5crobN24QERFh0IEEUXyVK1cOe3t7Hj9+jL29PeXKFZ8ZY6LkUqvVnDx5kuDgYEJCQnj27BkajYZatWrRpUsXAgIC+Prrr3U2QhZCiOLo0KFDGY7dv3+fsWPH8tlnn2W6N8zatWu5fv0627ZtK4ASCpGRITuFTblTHbLvWNdoNCgUCtRqNdHR0VhZWemksbKy4tmzZ5QvX16n89eUO9VTHscS3tGbr2nL1zVfGJC/AeEdvWl6fY7OQEJOr59aoyE+SYV12bI6fxvrsmVRazSYFcEZzn/88Qe9e/fmvffeA9I2VI6KisLBwQGADz74gJ49e7JlyxZGjhxpsHzTQym/LD3sZmxsrMHyEkLkXvrnRWYsXimn83mRlfTPi/S2MyvWpZVFsv0UoijSGUioW7cuYWFhDBw4MNPEYWFh1KlTJ9sL6rO58ovKlSvHu+++m6vniJLLy8uLrl274ujoyP79+2ndunVhF6lIkdBQpmf27NkcPHiQ6OhozM3Nad26NS4uLri4uFCnTh3u37+f5QxdIYQobtI7nl60ZMkSmjVrxuDBgzN9zpdffknv3r1Zu3YtU6dONXYRjSYmJoZ9+/axZcsWNBqNTmekME05zlb//x0l6fQZJDDlTnXIvmMdtQbMFURHRzNz5kxq1qyZIUTizJkzWbVqlU7HUGad6rGJyUWiY+jl1Qg5vX7xSSpWB1+kq+dndPX8LMM5G6uiF3pQo9FQs2ZN7eOGDRty+fJl7WNLS0tcXV356aefDDqQkJU7d+4AmX+eZEelyrqT8kVKpdLgceI1Go3e+Rc0Y9QXSl6dS1p94X+fF5lpdnOuzudFVtI/L9LbzqxMfKMVNlaWev+dJeyuEHmnM5AwfPhw5s+fT/ny5fH09OSVV14B0jZP+uGHHwgMDGTevHnZXrAgN1cWQuSOhIYyPTt37sTe3p4vvviCXr16UbasxJQUQogXHT16lOHDh2d53tLSku7du7Nr164iPZBw9+5dgoODSUhIwMrKqrCLI/SQ02z19I6SdDl1Mqs1miLdqZ5b2XWqrw6+qO0YKgpyuwqjOKlXrx7//POP9nHbtm3ZvHkzkZGR2lUDSqWSe/fuGb0skZGRHD16lKZNm+Z6TwZ9+zGaN29u8E5IlUqlM/hiSoxRXyh5dS5p9S0s+v6dHR0ddR5nt3rClOQ1nJ4+jhw5wvr167l8+TJJSUlUrVoVZ2dnxowZQ61atTKkP3HiBJs2beLChQvExMRQsWJFnJ2dmThxos7g8oumTJnCwYMHadeuHf7+/kaphzA+nYGEYcOGcevWLTZt2sTmzZu1YWNiYmLQaDSMGDGCIUOGGLwQd+/epXbt2ga/rhBFnaFXEEhoKNPTuHFjrl27xrx589i+fTuvv/463bp1o0mTJoVdNCGEMAnJyck5zsrWaDQ8ffq0gEpkHC1atGDDhg34+PgQHBxc2MURBqRvJ3N8kqpYdKqXRPquwiiOXFxc8Pf3Jy4ujrJly+Ls7Iy1tTVz587lq6++Ijo6mv3792tDDhnT0qVLSUpKYuLEiUbPSwhRfGS3esKUNPrNC2VVW4Nfd926dSxatAh7e3sGDhyIjY0NN27cYMeOHezcuZO1a9fSoUMHAFJTU5k7dy47duygXLlyuLm5YW9vT0REBIGBgezfv59NmzbRtGlTnTzi4+M5duwYlStX5uzZszqDzaJosXj5wOzZs+nVqxeBgYHcvXsXgNq1a9OnTx+DhpG5e/cuQUFBBAUFcf36da5du2awawtRXBh6BUFJCw1VFEI57dmzh3/++Yf9+/dz4MABli9fzooVK7C3t6dr1640bdq02N54CiGEPpo2bcq+ffvw9PTMdIZTXFwcwcHBVKtWzaD53r59m7179+Lv70+FChUIDQ3NMu22bdvw8/Pj3r172NvbM2zYMDw9PTE3NzdomUTRVJI7mUXxN3z4cDZs2MDx48fp1asXlpaWvP/++8ybN4+QkBAgbbD3008/NWo5Dh8+zLZt23B1daVHjx65fn6jRo1QKpU5ptMnTW4plUqaN29u8OsagjHqm37dklTnklbfwmLKf2dT9e+//+Lt7U3t2rXZtWuXToSEO3fu4Ovrq9NvtHjxYnbs2EHnzp3x9vbG1vZ/AxsPHjxg48aNvPrqqxnyOXr0KM+fP2f69OnMnj2bAwcOMHToUONWThhFhoEESFvm8/JSH0O4c+cOQUFBBAcHc/36de1momPGjDFoPoa8mbt+/ToDBw4kNTUVf39/2rVrZ9CyCpGdkriCwJCd/0UllFONGjUYP34848eP5/79+wQHBxMUFMS2bdu0HQsbNmwgLi6O119/nfLlyxulHNJ2CiFM0YQJE5g0aRJDhgxh6tSpuLq6UrFiRaKjozl37hw+Pj78+++/2o0+DWHhwoX4+flpH1eoUCHLtGvWrMHb25smTZrg6enJhQsX8Pb25sGDB8yfP99gZRJCCFNUuXJlQkJCqFixovbY0KFDsbW15eeff0atVtOrVy/c3d2NVobbt2/z0UcfUa1aNb788ss8XUOpVBZaeBeFQlFsQsvoq6TVuaTVt7DI3zn3zp8/T0pKCt26dcsQZrlOnTp89dVX2se3bt1iw4YNODg44OPjQ5kyZXTSV6tWjVmzZmWaT1BQEBUrVsTDw4PvvvuO4OBgGUgooiwg7YO3bt262Sb8999/OX36NAMGDMhVBrdv39auPPjrr7/QaDQoFAqGDx/O8OHDqVevXt5LnwlD3sxpNBo+//xzUlNTDVpGYRoKe7a6PvmXtBUEYNjO/6I4EOPg4MA777zDO++8w7///ktQUBAHDhzg3LlznDt3DjMzM1q3bo2bmxujRo0yWL7SdoriZlXAWXx2ngFg6LydTH3TiTl9CrlQIk9cXFz4+OOPWbx4MV988QVffPGFznmNRkOPHj0yzPTOj969e9O4cWPUanW2mwBGRETg4+ODo6MjGzduRKlUotFo8PLyYuvWrQwcOJBWrVqxcuVKVq1alek1du/eTYMGDQxWdiGEKGgvDiKk69WrF7169TJ63k+ePGHcuHGkpKSwYsUKCZUhhBC5kL4i5erVq9r+2qxs374dtVrNuHHjMgwiZCcxMZFjx47xxhtvYGZmRpcuXfjll1949uxZtpN1hGky+/333+nXrx9nz57NNuHvv//OrFmz+P3333O86K1bt1ixYgX9+vWjd+/erFmzhmrVqjF//nz27duHRqOhZ8+eBh9EePFmbvv27Xh5eeHv70/v3r3ZunUrFy9ezNX1fv75Z86dO2eU1RlCl7e3N9WrV9f+vNjBDqDRqElNjEr7SUrbBCc1KVZ7TKNRZ3bZbKV3WKf/FPRsdUPmn9PfryhJ7/wH8t357+Xlxf79+wHYv3+/yYU1yskrr7zC6NGj2bJlC0eOHOGTTz7htdde4/z58yxcuNBg+UjbKYqj2IRknkYnAPA0OoHYhORCLpHIjzFjxhAQEMCwYcNo0qQJDg4ONGjQgN69e7Ny5UqWLVtm0DBCLVq0YMCAAfTr1y/bdAEBAahUKiZPnqy9EVMoFNpNn3fs2AHA5MmTuXz5cqY/MogghCiO4uPjCQ4O5tixY6hUKqPkERsbi6enJw8fPuT777+XPcaEECKX2rdvT/ny5Tl16hSTJ0/m1q1bWaY9ffo0AK6urrnK4+jRoyQmJtK1a1cgbZJQamqqNvydKFosVqxYgaOjI23bts02Ye/evfn5559ZsWIF69atyzZt3759qVKlCl27duW9996jY8eOWFlZAWkf9saS3c1cYGAgO3bsoFWrVnpdKy4ujkWLFuHo6EiHDh04f/680cotcp6Frk6KIfLQ12nnbj5K+31mPZGRVQCwc/0Ec6vyucqzsGerGzL/ohLCRx/6rsIo7BUlBa1KlSqMHDmSkSNH8vTpUw4cOGCwa0vbKYojmzKWVK1YVuexKNoaNGjAZ599lnPCAnTmzBmUSiVOTk46x+vWrYuDg4P2hquoMitjrfN4wIAB/Prrr9rHffv2Ze/evQVdLCGECfnrr7/48MMPWbdunXZlwuPHjxk6dCgPHz4E0tpvf39/g4bnTN9UOTw8nK+//hpnZ2eDXVsIIUqKcuXK8f333zN16lRCQ0M5fPgwXbt2ZcSIEXTq1ElnhcLff/+NtbW1duKnvoKDg1EqlXTp0gWAzp07o1QqCQoKYvDgwQatjzA+iwsXLvDBBx/oldjZ2ZklS5bkmK506dJERUXx77//cv/+fSIjI3FwcMhvWXNkyJs5Hx8fnj59io+PD2FhYYYuqnhJYXTqF3bYIEPmX9iDIoWhOA2e5FalSpUYPny4wa4nbacojia5t2WSe/aTJITIr7t37+Lg4JBpPN46deoQFhZGcnJygcbr1Wfmr1Kp1G9z35fSREdHo1ardR4XNo1GY9g663Hd3F7LkAqjvnm5niHJa5w1U4gFvnLlSmJiYnQGCRYvXszjx4+ZPn06z549Y+PGjSxbtsxgg8EqlYp3332Xc+fO0ahRIx4+fIiPj0+GdOmrw4QQQmStffv27Nu3j1WrVrFnzx4OHz7M4cOHadKkCXPnztVOKkxMTKRSpUq5unZSUhJHjhzByclJuwdD2bJlcXJy4vTp00RFRRltD0hhHBa5ublRKpUkJ+ccGuD06dMcO3aM4OBgvv/+exYsWMCrr75Kt27dcHJyMtqXMkPdzN24cYMff/wRd3d3Wrduna/OMH2/BBbml1VDys0X3xdNmTKFTp060b59e37++Wdee+01kpOTDX4T9LL0tCqVSvveNnaeOeWflzQ5/f3UarX2Zj+9wz0mJoZnz54BUL58eb3rnNf6Ll26lGXLlmkfT5s2LcuNMfWpc5kyZahcuTJPnjyhcuXKlClTJtO0Bfka5+Vmbvny5Xpdt0qVKrRs2ZLatWvnOo+cmGLbCfq3n/ow9TY2P+1IZky9viB1zq/iVl992s8zZ85w5coVYmNj0Wg0Gc4rFAqmTZuW63LmR2RkJE2bNs30nK2tLRqNhqioKL1mbkVFRaFSqUhISCAlJYUnT55gbm6e63jf4eHhOaZp3rx5rj6zNBo16qQYbMqWwczMTHvcpmwZUhOjMCttW2jvR5VKxeXLl3NMl9s6Z3fd3F7LkAqjvnm5niHJa5w1Uwgj+dtvv9G3b19teLnIyEgCAwOZOHEiEydOBODBgweEhIQYbCDh0aNHnDhxAkhr87Jq92QgQQgh9GNvb8/cuXN577332LlzJ35+fly9epURI0bg6+tL+/btsbKyIiEhIVfXPX78OAkJCbRs2ZKIiAjt8RYtWhAWFkZoaCiDBg0ydHWEEVnUqVOHc+fO8eabb+aY+Ny5c9SqVSvHdJaWlri5ueHm5kZycjLHjh3jwIED/Pjjj6xevRqAn376iZSUFNq2bYuFhUW+KwKGuZlL3yS0TJkyfPjhh/kukz43c1C4X1YNKTdffF928+ZN7e/094Shb4JMIc/s8m/UqJE2tIy+eae/x7KrS3R0tHazyKdPnwJpM8fTR5NXrVqldwdAXut78+ZNnRUEN2/ezPI6mdXlZa6urjg4ODBixAi+++47GjVqhEqlytXfT1/61jkvN3P6DCSkUygUtGnThnnz5hl0jxlTbDtB//ZTH6bexuanHcmMqdcXpM75Vdzqm137+d9//zFu3DiuXbumPfbiQIJCodBuDlfQAwnZfe6kf37pO5gydepUzpw5o33cuXNnHBwcCA0NzX9B8yk9xOT6ic1gYjOdc5GHvqZSn4WAaQ9sCSGMIzY2VjvLFCAwMBBAZ/VsgwYNDNqWVa9enevXrxvsekIIIdLY2toyduxYhg8fzty5c9m7dy/e3t5s376dGjVqcP36de1kTn0EBQUBaavXVq5cmeF8cHCwDCQUMRZ9+vTBx8eHfv360alTpywTnjp1in379jF58uRcZfDyoMKJEycICgoiNDSU/fv3U7ZsWbp27cq3336b37oY5Gbul19+4ezZs8yePTvXS3aEacuskz4lJQWA+vXr07x5cwCjdETrS6lUZugYSi9PZueKEmtraypUqMCzZ8+oUKEC1tbWOT8pl4ri38/f3z/HNMnJyTx8+JDjx49z8OBBRo4cye7du3nllVcMUgZpO4UQpuzrr7/m6tWrtGnTBjc3N1atWoWbmxtt2rQB0vZ5AQzyXTK3LC0ts2wf079jlCpVSq9r/fjjjwYpkz6TEgrzu46hKZVK7Xe4nNIZ6rqF/V2xoOubl+sZkrzGpq1GjRqcOnUKtVpNcnIy/v7+dOvWTWc1VWRkJLa2toVYSiGEELlhZWXFl19+yYEDB7h69SoAbdu25fr16xw5ckSvvQ2Sk5M5fPgwdevWZcaMGRnOL168mLCwMGJjY7GxsTF4HYRxWIwZM4b9+/czYcIERo4cyZtvvqkz0/X27dsEBASwYcMGatWqxZgxY/KcmaWlJd26daNbt24kJycTFhZGUFAQhw8fNkRd8n0zl75JaKNGjQwWf1zfGebF5YYuP1989enUXxVwFp+dabP1hs7bydQ3nXRiYOd0Q/DyrHtDdDIbss7p5UkPIQCQmhSr/Z2aGAWgDSGgVCoz7K3QqFEjo+73kNf6fvPNNwwdOpT27duzf/9+XnvtNSCtozqr1RCZ1UWj0Wj/bln9/QwZygmMe0P38r4E2Rk8eDCHDh1iypQprF69mnnz5hmkDKbYdoL+7ac+TL2NNfR7zNTrC1JnQ1zL1BmqvseOHaNt27bajvagoCCqVq3KwIEDgbSZ+z179uTatWu53vwtv+zs7IiMjMz03H///Ye5uXmBx3011YFzY1EoFEapr7Gum18lrb5Q8upsquXKysCBA1m6dCk9evRArVbz77//snjxYu351NRUbTsuhBDCtCQkJGBubp7p/b6FhQXm5ubayYWDBw9m8+bN+Pr60r9//0yfk75KGODEiRPEx8fTp08f3NzcMqS9cuUKK1eu5NChQ7i7uxu2YsJoLEqVKsWGDRv46KOP8PPzY8OGDVhaWlK2bFni4uJITk5Go9HQsWNHFi1ahJWVlUEytrS0xMXFBRcXF4PFC87vzZyPjw9Pnjzho48+4uHDh9rj6R2RT58+JSIiAnt7+1ztK1GUvgjmV36++OrTqR+bkMzT6LSYbE+jE4hN0I2Jr0/+hu5kNkad00MIAMTcfJT2+8x6IiOrAGhDCLxYzvR/KxSKLMt/6dIlLl68CKQtO27VqhUtWrTIVZmN/Rqn55H+++W6vJh/VtczZCinl/MsbK6urjg7O3Ps2DGDXdMU204oWe2nKb3HCorUufgzVH3j4+N1Qh/Vr19fOzMKoHLlyrzxxhusWbOG119/Pd/55Ub9+vU5deoUSUlJlC5dWufcnTt3qFGjhsFCeAohhCkaP348z549Y9euXVhYWDB//nyd+4vdu3fz8OFDvvvuu0IspRBCiJep1WpmzJjBs2fP+OqrrzKET96+fTtxcXEMGDAASJvoN2zYMLZs2cL06dP59ttvdVYSREVF8fHHH/N///d/uLq6asMaubq6Zpq/q6srK1euJDg4WAYSihALgAoVKrB27Vr++OMPDh48yK1bt0hISMDa2pq6devi4uJi1I2cDDWrLr83c3v27AHIMr63l5cXkLaEvnHjxgYps8gdmzKWVK1YVudxbhm6k7kwaVLVpDxOW7GQ8uR/v1UP0wZKLF4pp1OX5ORkkpKSAEhKStJr8/SCou8qDJH2AZ6+wZwhSNsphDBl1apVIyoqSvv4tddeY+HChTqbwFeuXJlff/21wMvWrl07Tpw4QVhYmM5NUnh4OI8ePWLo0KEFXiYhhChIZmZmzJo1i1mzZmV6vk+fPtja2tKyZcsCLpkQQojsmJmZ0aFDBxYtWkTfvn1p27YtTZs2xcLCgkuXLnHq1Clq1qypc58/a9YsoqOj2bdvH25ubnTr1o0qVarw6NEjQkJCSEpKwt3dneTkZEJDQ6lWrRqNGjXKNP+mTZtib2/PiRMniIuL09lvR5gunZ6hli1bFukP+PzezC1atEgbxuNF+/btIzAwkOnTp/Pqq69SvXp1g5e9pNKo1ajj4wBIfeF3amxah7JZWRudzuNJ7m11QhkVRdnV+eX65iTlcSzhHb0BuPM8bSb4nTGbsSqVtplZs5tzwfx/17O0tNTZm8CUZsbquwpDpI30v9zhnx/SdgohTFnHjh05evQoarUaMzMzXFxcmDt3Lr6+vkyePBm1Ws3JkycNtmo2N9zd3Vm+fDmrVq2iS5cuWFpaolarWbZsGQBDhgwp8DIJIYQpKVOmDD169CjsYgghRJYs7G1o9JtXYRcjRxb2ht9H4O2336Zbt274+/tz/PhxbShRBwcHJk6cyNixYylXrpw2vaWlJd7e3vTu3ZuffvqJQ4cOERsbS6VKlXB1dWXChAnUqVOHo0ePEhsbi7u7e5Z9XAqFAldXV3766SeOHDlC3759DV4/YXjFaq11bm7m7t+/z4cffkj9+vX5/PPPAejatWum17127RoAjo6OtGvXzriVKGHU8XFE+qa9PjERD9J+B2wl8lxa2JZK0z+BYjYLPbs6G7u+LVq0yHUoI1OT3SqMl1dgFEcxMTEcOHDAoDP7pe0UQpiyYcOGsX37dn799Vf69++PnZ0dQ4YMYdmyZQQFBZGQkMD9+/cNNvs/IiJCu9JKrVYDaW2vj48PkHZjNWjQIADs7e3x8vJiwYIFeHh44OLiwrlz5zh//jyjRo2iSZMmBimTEEIIIYQwDoW5GcqqJXdD+OrVq/PJJ5/k6jlubm6Z7nuQ7vXXX+f69es5XmfevHkG2/tRFAyjDyQEBATg6OhIjRo1Mj3/+++/c+XKFUaOHJnvvHJzM/frr79y/vx5zp8/z5QpUwp8cz5hPN7e3nh7e2sfe3l5aUOriKIvu1UYL6/AMMSeEKYiOTmZkydPsnjxYqKiohg2bJjBri1tpxDClDVu3JjVq1fTqVMn7bGPP/4YtVrNL7/8QmpqKu7u7tqwhfl1//59li9frnMsNjZWe8zJyUk7kAAwevRobGxs8PX1xdfXF3t7e2bMmIGnp6dByiOEEKYkq1jXL7K0tKRKlSq89tpruLu7U6tWrQIomRBCCCGMzegDCbNmzWLRokVZDiTcvXuX5cuXG2QgAfS/mXN2dsbPz48GDRpoY+OL4iEmJob79+/rPM5MUehkXhVwFp+dZwAYOm8nU990KnKhnXIbvsqQTHlPiHRZzeZ/kUql4tmzZ2g0GjQaDaNGjaJPnz4GLYe0nUIIU/ZyW2lpacncuXOZO3euwfNq166dXjOoXuTh4YGHh4fByyKEEKZGo9HkmCY2NpZ79+5x6tQp1q5dy3vvvSeDq0IIIUQxYPSBBI1Gk20n4fXr13n+/LlB89TnZq5x48acOnVKr+tNnTqVqVOnGqJoogCUK1cOe3t7Hj9+jL29vU48txcVhU7m2IRknkYnAPA0OoHYhMzL6B99kvXRvwEw+dEW3rHtyNu2HQqsnNnJbfgqQw6emPKeEOn+/fffHNMolUocHBxo2bIlgwcPNlqYIGk7hRBCCCFEdkJDQ/VKl5yczG+//cY333zDkiVLePXVV3F2djZy6YQQQghhTEYZSHg5Rq2Pjw+bNm3KkO7p06fcv38fFxcXYxRDlFBeXl507doVR0dH9u/fT+vWrTNNV9idzKuOhOETehyAoT/4M7VbF+ZM101jU8aSqhXL6jzOTJz6OZHqeAAi1fHEqQ07OFeQ9B080UdR2BMiPDy8sIsghBAm7+nTp6xZs4Zjx45pVx3++eefQNo+Bnv27KFXr16UKVOmMIsphBDi/7O0tKRr1660aNGCXr164e/vLwMJQgghRBGnM5CQkpKCv78/hw8f5vHjx6SkpGR4gkKhICQkJNuL1qxZk9jYWGJj0zZCjY6ORqVSZUhXrlw5xowZw8SJE/NTB1EMZNapPqlrpxyelT+F3ckcm/Scp3Fpnf9P4+KJTcrY+T/Jva1es/HLmpXC3txG53FRpe/gSWarMBYVSAkLV3h4OEFBQRw4cIDAwMDCLo4QQhhdREQEQ4cO5dmzZ7Rp0wZLS0tu3rypPR8dHc2XX37Jf//9x/jx4wuxpEIIIV5mZ2dHjx49CA4ONsr1b9++zd69e/H396dChQp6r5gQQgghRO7pDCTMmzePnTt3YmVlRe3atfM8Q3vRov915zVq1IhPP/2Ufv365a+koljTp1M9O2alyuacyMTYlC5FVdtyOo/z6m3bDiYTyii/9B08KU6rMHJy5coVgoODCQoK4p9//kGj0WBmZlbYxRJCiAKxePFinj9/zq5du2jUqBHLly/XGUioUKECzs7O/PLLLzKQIIQQJqhixYrEx8cb/LoLFy7Ez89P+7hChQoGz0MIIYQQ/6MzkLB//366du3K999/T6lShpnR7O/vT/369Q1yLVF85btTXVH0OlUnde1k9FUXpsTQq06K0yqMzFy6dEm78uD+/ftoNBpKlSrF66+/Trdu3ejWrVthF1EIIQrEb7/9Rp8+fWjUqFGWaWrXri2zUIUQwkTduHGDihUrGvy6vXv3pnHjxqjVambOnGnw6wuRX0VxwqMQQmRHZyBBo9HQo0cPgw0iALRt25b79+9jZ2enPRYdHY2fnx/R0dG88cYbtG/f3mD5iaLJUJ3qmlQ1KY9jSXmSFlYr5UksqofRAFi8Ui7bjb+FceV31cnLitMqjHQXLlwgODiYAwcO8PDhQzQaDWXLpn35nDJlCmPHjsXKyqqQSymEEAUrISEBGxubbNM8e/YMCwujbP0lhBAiH44dO8aRI0eMEqEgPVRtSkqKDCQI01QEJzwKIUR2dO64unbtyp9//smgQYMMlsGGDRvYsmULBw8eBCA1NZV33nmH69evY21tzdatW/nuu+/o2bOnwfLctm0bfn5+3Lt3D3t7e4YNG4anpyfm5uY5Pjc5ORk/Pz92797NP//8g42NDc7Oznh5eVG1alWDlVEYR8rjWMI7enPn+UMA7ozZjFWptBmKzW7OBXMZSCgshgzlVJycO3dOO3jw+PFjNBoNDRo0YNy4cbi4uFCpUiW6d+9O48aNjT6IIG2nEMIUvfrqqxw5coT3338/07BuUVFRHDhwgMaNGxdC6YQQomQ5efJkjmlUKhX//vsvYWFhHDx4kNKlSzNp0qQCKJ0Qpil9wmNWZNKjEKKo0BlImDVrFoMHD8bZ2ZmuXbsaJIMtW7bQu3dv7eNff/2VGzdusGfPHmrXrs27777LqlWrDDaQsGbNGry9vWnSpAmenp5cuHABb29vHjx4wPz587N9bmxsLOPHj+fChQu4urrSs2dP/vrrL3755RdOnTpFQECAUZZkClESlLRQTvoaMWIEVlZWtGvXjgkTJuDs7Ez16tW15+/fv18g5ZC2UwhhqkaOHMmsWbN4//33mT17ts65W7duMXPmTKKjoxk+fHghlVAIIUqOMWPG6N3hqdFoqFmzJgsWLKB27drGLVg+qVQqvdIplUqDd/hqNBq98y9oxqgvlLw6p094zEr6pEe1Wk10dHSmacqXL49CoUCt0RCflPXfzrq0EjOFQu+/sbFe48Kgb53zuh+sEOKlgYQvv/wSpVLJlClTKF++fKZPUCgUHD9+XO8M7t+/T506dbSPt23bxsCBA2nQoAEAPXv25LPPPstD0TOKiIjAx8cHR0dHNm7ciFKpRKPR4OXlxdatWxk4cCCtWrXK8vkXLlzgr7/+Yt26dXTq9L8Ozw0bNrBgwQJ8fX35+OOPDVJWIYRIZ2Fhof0CVxhf4qTtFEKYsoEDB3Lx4kW2bdtGSEiINuTbG2+8wb1799BoNLi7u9O3b99CLqkQQhR/7u7uOX5fVSqVvPLKK7Rq1Yp27drptbq1sIWHh+uVrnnz5gbvhFSpVFy+fNmg1zQUY9QXSmad9REdHZ1lmK5Vq1ahUCiIT1KxOvhilteY+EYrbKws9f4bF2Z9DU3fOjs6OhZAaYQonnQGEiIjI3nllVd45ZVXDJZBlSpVuHTpEu7u7vzxxx9cuHBBZzZZXFwcZcqUMUheAQEBqFQqJk+ejFKpBNIGPqZOnUpgYCA7duzItjPM2dmZAwcO6OznADB8+HC8vb05ffq0QcopjMs/+iTro38DYPKjLbxj27HYxdIXxcfevXsJCgoiODiYgwcPolAoqF+/Pq6urri4uGRoj4xB2k4hhKmbP38+jo6O+Pr6cuPGDQD+/vtv6tWrx+jRoxk8eHAhl1AIIUqGhQsXFnYRhBBCCFFIdAYSfvzxR4Nn8Oabb+Lj48OFCxe4d+8e3bt3p0mTJtrzBw8epF27dgbJ68yZMyiVSpycnHSO161bFwcHB706szLrtLO0tKR8+fLExmYd006Yjjj1cyLVaZv6RqrjiVPnb1NfIYypYcOGNGzYkOnTp3Pz5k3toMLq1atZs2YNNjY2KBQKrl+/TpcuXYwyW0TaTiGEKRs+fDgjRoygf//+9O/fn/j4eGJiYihXrhzW1taFXTyDOXbsGN7e3ty4cQN7e3vGjx8v4ZqEEKKANGrUSDuhJjv6pMktpVJJ8+bNDX5dQzB0fc1KldVet3Xr1ga9dk40Gg0pKSk5pjPGa1wY9H1fFZf6gmn/XxKiuLDIOUn+TJ48GWtra44fP46joyNeXl7ac3/99ReXLl3ip59+Mkhed+/excHBIdOOtjp16hAWFkZycnKuO+JiY2N58uRJhk42fRRmrMXCYApx+MqalcLe3EbnsTGZQp0LUkmrLxRcrMX69eszZcoUpkyZwu3bt7WDCjExMfj4+LB27Vo6d+5Mt27d6Nq1KxUqVMhXfulMse0E/dtPfZj6+9HQcWJNvb4gdc6v4lbf7NqXP//8kxs3bmj33LK2ti5WAwiQtmH0rFmzeO+99+jUqRPHjx/ns88+o0aNGnTp0qWwiyeEEMWeUqkstPAuCoWi2ISWyZHCLO1XIXyHKVF/Z0pefaFk1lmIgpbpQMKjR4/4+++/SU5OzvRJnTt31jsDhULB6NGjGT16dIZzDRo04PDhwwYL3REZGUnTpk0zPWdra4tGoyEqKgp7e/tcXffnn39GrVbj6uqa6zIVZqzFwmAKcfjetu1QoKGMTKHOBamk1RcKJ9Zi3bp1mTx5MpMnT+bvv//WCX908OBBLCws+PPPPw2Slym2naB/+6kPU38/GjpOrKnXF6TO+VXc6ptd+9mxY0dOnDjBe++9Z6CSmZ7y5csTFBSEjU3aRIghQ4awbds2wsLCZCBBCCFEsaNJVZPyOPNVyxavlEvbVDibjYch95sPCyGEyD+dgYSnT5/ywQcf5BjG4tq1a7nO6NGjR1y+fJn4+Hi6dOmiHTwwZPxvlUqV5bIsCwsLbZrciI6OZuXKlVSuXBkPD498l1EIIXKrVq1aTJgwgQkTJvDPP/8QFBTEgQMHDHZ9aTuFEKZs3rx5jBgxgpkzZzJ79mztZsvGdvv2bfbu3Yu/vz8VKlQgNDQ0y7Tbtm3Dz8+Pe/fuYW9vz7Bhw/D09MzVBqPpgwjp4uPjC6yuQgghREFKeRxLeEfvTM81uzkXzBXZbjwMud98WAghRP7pDCTMnz+fM2fO4OHhQZkyZdizZw+ffPIJAJcvX+b48eP88MMPucogOTmZuXPnsnfvXtRqNQqFgvXr19OhQwfUajXDhw9nwoQJuLi45LsylpaWWXZ2pcfCK1Uqd2Fu5syZw9OnT1m+fHmeltEXZqzFwiBx+LJPVxyUtPqCacVarFGjBuPGjWPcuHEGu6Yptp2gf/upD1N/Pxr6PWbq9QWpsyGuZeoMVd+9e/fStm1b9u7dy6FDh3j11VczTadQKNi0aVO+84O0zUT9/Py0j7MLJbdmzRq8vb1p0qQJnp6eXLhwAW9vbx48eMD8+fNznXd0dDTr168nOjqaQYMG5an8QujLrIzuZ/SAAQP49ddftY/79u3L3r17C7pYQgghRIHJafWLqbC1tcXMzMwo1z5y5Ajr16/n8uXLJCUlUbVqVZydnRkzZgy1atXKkP7EiRNs2rSJCxcuEBMTQ8WKFXF2dmbixInUrFkz0zymTJmi3SfX398/32XevXs3s2bNYuLEibz//vt6PScxMZHNmzezb98+bt26hVqtpk6dOgwcOJARI0aY/IpvU6AzkHDixAnGjh3LjBkz+Pvvv9m0aRM9e/bEysqKgQMHMnToUH777Tfq1KmjdwbfffcdISEhLFu2jGbNmtG1a1ftOTMzM+rVq8f69esNMpBgZ2dHZGRkpuf+++8/zM3NKV++vN7X++GHHwgODmb48OF07949T2UqzFiLhaEkxqQraXUuafWF4l9nU2w7oWS1n8X9PZYZqXPxZ6j6fvfdd9p/x8bGcv78+SzzM5TevXvTuHFj1Gp1trMhIyIi8PHxwdHRkY0bN6JUKtFoNHh5ebF161YGDhxIq1atWLlyJatWrcr0Grt376ZBgwYALFq0iHXr1mFlZcWKFSuoVq2aweokRKZe+n8THR2NWq3WeSyEKYqIiGDPnj0A2vds+r5iAA4ODjIYK4TQS06rX0zFwoULDbZP4ovWrVvHokWLsLe3Z+DAgdjY2HDjxg127NjBzp07Wbt2LR06pIUPT01NZe7cuezYsYNy5crh5uaGvb09ERERBAYGsn//fjZt2pQhdHJ8fDzHjh2jcuXKnD17lsjISINGqNHHP//8g6enJ3fv3qVRo0YMGzYMpVLJ+fPn+eabbzhw4ABbtmwx2mBNcaEzkJCSkkLdunUBqFmzJlZWVly+fFm7UWb//v3ZsGEDb731lt4Z/PLLL4wZMwY3NzeePXuW4fxrr73Gvn378lMHrfr163Pq1CmSkpIoXbq0zrk7d+5Qo0YNbZiOnAQGBuLt7U27du20qzKEEKI4krZTCGHKDh06VOB5tmjRghYtWpCSkpLtjWVAQAAqlYrJkydrV4koFAqmTp1KYGAgO3bsoFWrVto9b3Li6elJz549OXnyJFOnTuXrr7+mZ8+eBquXEFnRaNSok2KwKVtG5wbapmwZUhOjMCtta/IbvOvrxVUYsgKj6Lp//z7Lly/XORYbG6s95uTkJAMJQgiRg3///Rdvb29q167Nrl27dMJq3rlzB19fX1q3bq09tnjxYnbs2EHnzp3x9vbG1tZWe+7Bgwds3Lgx09XDR48e5fnz50yfPp3Zs2dz4MABhg4datzKvSAuLo533nmHf/75h9mzZzNixAid7zVBQUEkJyfLIIIedHqGGjRowM2bN4G0m6D27duze/du7UBCcnIyDx48yFUGOW3QGRcXpzPrJT/atWvHiRMnCAsL09ncMzw8nEePHun9Jg0LC+Ojjz6ifv36LF++vEiEDxBCiLyStlMIYcocHBwKuwhZOnPmDEqlUvtdOV3dunVxcHDIcd+xl9nZ2WFnZ0eLFi14/vw5S5YskYEEUSDUSTFEHvqa9RObwcRmOuciD31NpT4LgeIxkPDiKgxZgZF7L7d3+lIoFLluE7PTrl07rl+/brDrCSFESXT+/HlSUlLo1q1bhr256tSpw1dffaV9fOvWLTZs2ICDgwM+Pj6UKVNGJ321atWYNWtWpvkEBQVRsWJFPDw8+O677wgODs6xn2HmzJmcOXMm233K9PXDDz9w7949PD09GTlyZIbz8n1bfzpDLb179yYgIIDExEQAPDw8CAgIYOHChfz444/4+vpSv379XGXw6quvEhISkum55ORkdu/eTZMmTfJYfF3u7u6UKlWKVatWkZycDKQtc1y2bBkAQ4YM0aa9f/8+w4cP57PPPtO5xsWLF5kyZQoVK1Zk7dq1lCtXziBlE0IIUyVtpxBC5M3du3dxcHDINIRTnTp1iIiI0Lar2VGpVMTHx+scs7GxIS4uLtdlUqlUJCcnZ/uj0WhyfV1TpdFocqxvXuqc3XUL8+9nrPqaMuO9xmrtCoz0n/QVGEXhNdanbTGGmJgYYmNjqVy5Ml26dKF169a8+uqr1KxZkxo1amT5U7169UIprxBCiKylT/67evVqjp9927dvR61WM27cuAyDCNlJTEzk2LFjdOnSBTMzM7p06cLp06czjVpjDKmpqezYsYNSpUoxYcKEAsmzONNZkTBs2DDu3btHUlISVlZWdOvWjWHDhrFhwwYg7YZmzpw5ucpg/PjxvPfee8yYMYP+/fsDabGxTp06hY+PD3/99VeGJYl5ZW9vj5eXFwsWLMDDwwMXFxfOnTvH+fPnGTVqlM6Axa+//sr58+c5f/48U6ZMwd7envDwcMaPH09CQgI9e/Zk586dGfJo3Lgxbm5uBimvEEKYAmk7hRAibyIjIzPEgE1na2uLRqPJcXUuwK5du9i8eTMff/wx9evXJzw8nHXr1uVpn5nw8PAc0zRv3rzY7NehUqm4fPlyjun0rfOLYW8GDRrE/v37tY979erF7t2781ZQAzF0fYsCY9VZnRRjkisw9K0vgKOjo5FLk9GYMWPYv38/t27d4unTp3Tt2pU333wTZ2fnYvOeE0KIkqJ9+/aUL1+eU6dOMXnyZD744APq1auXadr0VWUvRjHQx9GjR0lMTNTumevi4kJAQAAhISEMHjw4X+XXx40bN4iMjKRTp04y4dEAdAYSrK2t+fzzz3USzJ07l7Fjx/L48WMaNmyItbU1udGzZ09mz57NokWLCAwMBGDq1KkAmJub8+GHH+b6TZid0aNHY2Njg6+vL76+vtjb2zNjxgw8PT110jk7O+Pn50eDBg2oVKkSAAcPHtQuZ83qJmHgwIHSGSaEKHak7RRCiNxTqVRZhnFL31tGpVLleJ3BgwcTHx/PF198wT///EOFChXo378/7733niGLK/Tx/8PeKBSKDCFY4+LipKNUlHgff/wxH330Eb///jv79u0jODiYn3/+GWtra7p3707//v1p3759sdlTQwghirNy5crx/fffM3XqVEJDQzl8+DBdu3ZlxIgRdOrUSact//vvv7G2ts5xgszLgoODUSqVdOnSBYDOnTujVCoJCgoqkIGEe/fuAWj3BBb5o9fumdWrV8/XUsQRI0bQvXt3AgMDuXPnDgC1a9emR48eRlni6OHhgYeHR7ZpGjduzKlTp3SOTZ06VTvIIYQQJY20nUIIkTuWlpZZDhSkpKQAUKpUqRyvY25uztixYxk7dmy+y9SoUaMc96gpTnvYKJVKmjdvrle63Hgx7E06U9h42Fj1NWUlrc761rcwKRQKHB0dcXR0ZPbs2Zw8eZJ9+/YREhJCQEAAFStWpFevXvTv39/k6yKEECVd+/bt2bdvH6tWrWLPnj0cPnyYw4cP06RJE+bOnUurVq2AtBBF6ZMJ9ZWUlMSRI0dwcnLS7sFQtmxZnJycOH36NFFRUZQvXx6AkJAQrl27pn3utWvXiImJwcfHR3vMxsaG0aNH56oM6eH7cxOOSWQtw0DCyZMn8fX15Y8//iAxMRE/Pz+cnJxQq9Vs2bKFrl275qnzv0qVKowZM8YghRZCCCGEEKKw2dnZERkZmem5//77D3Nzc+3NUUFRKpUlata8QqEwSn1NNeyNseprykpanYtafc3MzOjUqROdOnVi3rx5nDx5kkOHDnHw4EE2bdpErVq1+Pjjj3FxcSnsogohhMiCvb09c+fO5b333mPnzp34+flx9epVRowYga+vL+3bt8fKyoqEhIRcXff48eMkJCTQsmVLIiIitMdbtGhBWFgYoaGhDBo0CEgbSNizZ0+Ga7wYDt/BwSHXAwmlS5cGyHXZReZ0Nls+dOgQY8eOpXTp0kycOJHU1FRSU1PTEpqZsW/fPtasWZPnzCIjI1mwYAEjR45k7NixrF27VjsyJIQQQgghRFFSv359Hjx4QFJSUoZzd+7coUaNGtoQR0IIUdxZWlrStm1bOnToQJs2bTA3N+fu3btcv369sIsmhBBCD7a2towdO5aDBw8yYMAAVCoV3t7eANSoUYP4+HiePHmi9/WCgoIAWLlyJa6urtqfVatWAWlhj9ItXLiQ69eva38GDhyIg4ODzrHQ0NBc16lGjRoA3L17N9fPFRnp3NksX76cXr16sWTJEp49e8bixYt1Er/xxhv4+vrmeFGVSsW8efMIDAzE2tqaiRMnMnjwYIYNG8bff/9NxYoVSUxMJCwsjMDAQLZs2YKVlZVhayaEEEIIIYQRtWvXjhMnThAWFqaz51d4eDiPHj1i6NChhVg6IYQoGMnJyRw+fJh9+/Zx7Ngxnj9/jp2dHUOHDqVv377asBhCCCGKBisrK7788ksOHDjA1atXAWjbti3Xr1/nyJEjeu1tkP7ZULduXWbMmJHh/OLFiwkLCyM2NhYbGxuD1yFdw4YNKVeuHGfPniUuLk4bYknkjc6KhL/++otOnTplmdja2pqoqKgcL7phwwZ27dpFvXr1aNCgAV999RXz5s3j6dOnbN68mbCwMM6dO8cXX3xBeHg469evz3dFhBBCCCGEKEju7u6UKlWKVatWkZycDIBarWbZsmUADBkypDCLJ4QQRpOSksLRo0f58MMP6dChA9OnT+fEiRO88cYbrF27lmPHjjF79mwZRBBCCBOWkJDA8+fPMz1nYWGBubm5NjTQ4MGDUSgU+Pr6ZvkcjUaj/feJEyeIj4+nT58+uLm5Zfjp1asXKpWKQ4cOGb5iL9XDw8ODpKSkbCfHv1h2kTWdgYTy5cvz999/Z5n49OnTVKlSJceL7t+/nw4dOmjjao0fP56AgADeeustHB0d0zI2M2Pw4MF0795du9RFCCGEEEKIwhQREYGPjw8+Pj6sWLECQLvRm4+PD7t379amtbe3x8vLi8uXL+Ph4YG3tzcjRozg0KFDjBo1iiZNmhRWNYQQwihOnjzJnDlz6NSpExMnTiQkJISOHTvi7e3Nb7/9xjfffEPnzp0xNzcv7KIKIYTIhlqtZsaMGYwaNYpbt25lOL99+3bi4uLo1q0bAI0aNWLYsGHcvXuX6dOnExsbq5M+KiqKiRMnagcG0vt6X1y1+6L04y+GNzKWiRMnUqVKFdasWcOOHTsynD937hzDhw/n2bNnRi9LUacT2qhfv374+/vTpk0bmjVL21hMoUjbSGzLli3s27eP8ePH53jRO3fuMH36dJ3rrlmzhhYtWmRI6+TkxJEjR/JTByGEEEIIIQzi/v37Opu6AcTGxmqPOTk5aTeFAxg9ejQ2Njb4+vri6+uLvb09M2bMwNPTs0DLLYQQBWHMmDEoFApq167NG2+8QcuWLUlJSeG///5j+/bt2T737bffLqBSFg1mpSS8hhCi8JiZmdGhQwcWLVpE3759adu2LU2bNsXCwoJLly5x6tQpatasyYcffqh9zqxZs4iOjmbfvn24ubnRrVs3qlSpwqNHjwgJCSEpKQl3d3eSk5MJDQ2lWrVqNGrUKNP8mzZtir29PSdOnMg05NDChQv1qkdYWFimGynb2toyZcoUIG3i/Lp16xg/fjyzZ89m8+bNtGvXDktLS65evUpYWBgNGjTQrjAWWdMZSJg2bRoXLlxg/Pjx1KxZE4VCwdKlS3n8+DEPHz6kefPmTJo0KceLJiYmUqFCBe1jOzs7IC000stsbGxQqVT5rYeObdu24efnx71797C3t2fYsGF4enrqPSsiKiqKRYsWERISQkJCAs2aNWPGjBm0bdvWoOUUQghTIm2nEEKk7XuQ241BPTw88PDwMFKJhBDCtGg0Gu7cucOdO3fYsWOHXuEgFAqFwQcS8vvdtdApzHJOI4QwOltbW707rQuTra2twa/59ttv061bN/z9/Tl+/Dg//vgjAA4ODkycOJGxY8dSrlw5bXpLS0u8vb3p3bs3P/30E4cOHSI2NpZKlSrh6urKhAkTqFOnDkePHiU2NhZ3d3ftBPWXKRQKXF1d+emnnzhy5Ah9+/bNUx0uX77M5cuXMxx3cHDQDiQANGjQgJ9//hl/f3+Cg4PZvHkzAHXq1MHLy4tRo0ZRqlSpPJWhJNEZSLCysuLHH3/E39+fvXv3YmFhwZ9//kmdOnWYNm0a77zzjt5/VDOz/30oZvWmyelcXqxZswZvb2+aNGmCp6cnFy5cwNvbmwcPHjB//vwcn5+UlMSoUaO4ceMGvXv3pnLlyvz666+MGTOGDRs20KZNG4OWVwghTIG0nUIIIYQQIif+/v6FXQQg/99dTYkmVU3K49gsz1u8Ug6FQoFarSY6OjrTNOXLl09Lo9EQn5T1RE3r0krMDNwHI0RRZ2ZmpjMZuqSpXr06n3zySa6ek77PQVZef/11vSbmzJs3j3nz5uUq73SDBg3SWSWsDxsbG959913efffdPOUpXhpIAFAqlYwdO5axY8fm68KBgYH89ddfQFoHk0KhYOfOnZw8eVInXXoaQ0iPaevo6MjGjRtRKpVoNBq8vLzYunUrAwcOzHGzJz8/P8LDw5k7dy7Dhw8H0pZv9u/fnzlz5rBv3z6dQRIhhCjqpO0UQgghhBD6cHJyKuwiGOS7qylJeRxLeEfvLM83uzkXzBVER0czc+bMTNOsWrUKhUJBfJKK1cEXs7zWxDdaYWNlmd8iCyGEKKEyDCQYyuHDhzl8+LDOsX379mWa1lCrEgICAlCpVEyePBmlUqm99tSpUwkMDGTHjh05fqHYuXMnr7zyCkOGDNEeq1KlCkOGDGHNmjX8/vvvMrNWCFGsSNsphBBCCCGM5e+//yY4OFiv/Rb1YYjvrkIIIYTIPYuAgIBcP8nd3T3b8+k7dBe0M2fOoFQqM8ySqFu3Lg4ODpw+fTrb5z948ICIiAgGDRqUIa5ip06dWLNmDadPn5bOMCFEsSJtpxBCCCGEMKTbt28THBxMcHCwNryFoQYS8vvdVQghhBB5YzFz5kzMzc2xsLDg+fPnOT5BoVDkOJDg4OBgoOLlzt27d3FwcMDSMuNSvTp16hAWFkZycnKm59OfD1C7du1Mnw9w586dHMvx4mZTCQkJem0mbWFhgUKhIFWlIsWydKZpkpOTUZiZkapKIcXMKstrJScno1CYoUpNQWOX+bW06czNSElJyXQj7PQ0ZmZmqFQqSmWzZ5VKpSLZPK3uKSkpWSf8//Spr7aMBqqzPvVNT1dYdS6M1zg9XU51ltc45zorlUqUSqXB934xNlNpOyFv7ac+/vd+zPp9VhT+X+lLn/qml9HUPy/0ZaqvMRinzsXtNS6q7aepeLHtzE27WRw+o3PLEHUuzM+L3JLXOItyFqPX2JTazps3bxIUFERwcDA3b95Eo9GgUCho2bIlrq6uBssnv99d08l9u9zTZUZe42zKWExeY/neKUTeKfr166e5ceP/tXfncTXn+x/AX2nTtE50uoSZ0CZ0I4owylJmZM++XDeXpsnaIMZQ3FHiWq6RmVFTsiY7UVmSbXTl+s3YDSFZGqSrdU7l/P7o0eE459Spzmk7r+fjcR4PfbfP+3scrz7O5/v9fO/C2toaffv2hbOzM9q0aSPxS/VDbdq0qcUSFdexY0fY29sjNjZWat28efMQHx+Pc+fOQSAQyNz/6NGjCAgIQHBwMMaOHSuxTigUolOnTujVqxciIyMrrCM/Px+3b9+u/okQUYPVqVOnSv/TUt/Ul+wEmJ9E6qwh5md9wewkUl91nZ137txBYmIiEhIS8ODBA/HgQdeuXTFixAj07dsXpqamSm2zpn3XcsxOIvVV19lJ1FBpHT58GPfv30d8fDzi4+OxZcsWfPrppxgyZAgGDx6M1q1b13WNCisuLhbPkfghLS0t8TYV7Q9A5jHK9xcKhTUtk4ioXmF2EhEREZGibt26Jb7z4NGjRxCJRDAzM4O3tzfs7OwQHByMqVOnKvUuhPfVtO9KRERE1aMFAO3atcOsWbMwa9Ys3LhxA0ePHkVsbCz+/e9/o3PnzvDy8sLnn3+u9CsJlE1HR0duh6H89iZdXd0K9wdkdzoU2b+cnp4ebG1tAby7TYyI1IO8/9TUZ/UlOwHmJ5E6a4j5WV8wO4nUV21n58CBA/H48WMAgL29Pfz8/ODm5oaOHTsCAJ48eaLyGmrady3H7CRSX+x3ElWP1ocL7O3tYW9vj4ULF+Lq1atITk7Gtm3bEBoaismTJ2PBggUVHjAsLAwDBgyAo6MjgLKrUGtr7jFTU1NkZ2fLXPfq1StoamrCxMSkwv0ByDzGq1evAADNmzevtI4mTZpUOM8bEVF9Ul+yE2B+EhFVB7OTiGpLRkYGBAIBZs6ciUGDBsHAwKDWa6hp37Ucs5OIiKhqmshb8ebNG6Snp+P27dt4/vw5dHV1YWhoWOkBt23bJn7wJgA4ODjg6NGjSim2Mu3bt8fTp09RVFQkte7Bgwdo3bq1+FZHWdq1awcASE9Pl7k/8O7BoUREjQWzk4iIiIgUMWXKFGhqamLp0qVwcXHBpEmTEB0djUePHtVaDTXtuxIREVH1SAwkFBYWIj4+Hn5+fnB1dUVQUBC0tLQQGhqKixcv4ssvv6z0gHp6ekhKSkJWVhaEQqH4qelCobDClzI4OzujpKQEFy5ckFh++/ZtZGVlwcXFpcL9BQIB2rZti4sXL0rdKpmSkgIAlR6DiKihYXYSERERkSIWLVqE5ORk7N69G5MmTcKzZ88QGhoKT09PeHp6YtOmTdDQ0FDpjAQ17bsSERFR9WgIhUJRSkoK4uPjcebMGRQVFcHJyQleXl7w8PCAsbFxlQ64evVqREZGVqnjoKGhgZs3b1a1dil//PEH+vfvD2tra+zcuRM6Ojp4+/Yt/P39cerUKRw4cAAdOnQAUDZ34/z589G+fXssX75cfIzo6GiEhIQgMDAQU6dOBQBkZmZiyJAhaNOmDQ4cOMC5E4moUWF2EhEREVF13bhxA8ePH0dSUhIyMjIAACYmJujXrx/c3NzQq1cvNG3aVGntVaXvSkRERMqj4eTkJCooKECnTp3g7OwMJycnGBgYQCQSyd2pS5cuFR40MTER//nPf5Cfn49Dhw7BwcGh0mktQkJCqnUCHyr/Msva2hpubm5IS0vDlStXMGXKFCxevFi83Y8//oi1a9cCAM6dOweBQACg7JkOEyZMwLVr1/D5559DIBDg0KFDyMvLQ0xMjPjZD0REjQmzk4iIiIhq6vbt20hISEBCQgIePnwIDQ0N6OrqwtXVFZs2bVJaO4r2XYmIiEh5NGxsbCRGDCq6YlQkEkFDQwO3bt1SuAFbW1usXr0aXl5e1a+yivbt24eIiAg8evQIAoEA48ePx7Rp09CkybuZnG7duoWpU6fCysoKW7dulVj35s0brFmzBomJicjPz0fHjh2xYMGCSgdQiIgaMmYnERERESnL3bt3kZCQgMTERKSnp1fpewRFKNJ3JSIiIuXRSE1NlX/rgRzdu3dXeFuhUAgtLS3+MiciIiIiIiJSQ/fv30e7du3qugwiIiKqAQ1RRXMYKdHTp0+RlJSEBw8eQCQSoW3bthg4cCBatmxZG80TERERERERkRKcOnUKaWlpyMvLg0AggJubGzp27Chz23v37mH58uWIiYmp5SqJiIhImWrlNoHo6Gh4eHggNDQUsbGx2LNnD0JDQ+Hh4YHo6OjaKKFeSk1NhY2NDXbt2lXhstq0du1adOnSBTdu3KiT9pVh7NixGDBgAIqKiqq0X3JyMhwcHOrsvScixTA7VYf5SdS4MT9Vg9lJ6qSkpAS+vr7w9/dHVFQU4uLisGnTJnh7e2PNmjUS2+bl5WHlypUYNmwYLl++XEcV1xyzUzWYnUREDY/KBxKOHTuG0NBQ9O7dGzt27EBaWhrS0tKwfft29OrVC6tWrUJCQoKqy6gX6rqzoYisrCzk5+fjzZs3dV2KWGXv2+jRo+Hu7i7+OSsrC69evUJxcbF42aRJk2BjYyPz9fXXXwMAsrOzUVRUhBcvXqj2hBT0/PlzBAUFwc3NDR06dECPHj0QGBiIp0+firfJzMyEjY2NVKf9Q4GBgRLnbGtrCxcXF0ybNg0XLlxQ9alU6t69ewgICEDPnj3RoUMH9OnTB0uXLsXz58+ltt2/fz9sbGwwc+ZMmcdyd3dHYGAggHfvT2Wv1NRUlZ4f1Qyzs/rUMT+ZncxOeof5WT3qmJ2A+uQns7Nmdu/ejTNnzsDOzg4hISHYsmULFi9eDHNzc0RGRuLEiRMAgAMHDsDT0xMxMTEwNTVFSEhIHVeuOGZn9TA7G3d2AszPxuzMmTOYPHkyHB0dYWdnB3d3dwQFBeHRo0cytz9//jx8fX3h7OwMOzs79OrVC4sXL0ZGRobcNvz9/WFjY4PJkycrpebyz9i6desU3qewsBAREREYPnw4OnfujI4dO8LLyws///wzhEJhtWtxd3eHjY2N3DvvyvNx48aNtVqXKmipuoHIyEj06dMH4eHhEsudnJzg5OSEadOmISIiAp6enqouhRTw3XffYd68eTA3N6/rUqrtyJEjKCkpgaGhocRyAwMDLF26VGr7Vq1aAQBGjhyJHj16oEWLFrVSZ0V+++03TJs2DaWlpRg9ejSsrKzw8uVLxMXFYcKECUhKSoK2tnaVj7ty5UpoaWmhtLQUGRkZOHToEHx8fBAeHi7RqatNKSkp8Pf3h7GxMcaOHYtWrVohPT0dsbGxSExMRHR0NOzs7KT2S0pKQlpaGpycnOQe++OPP0ZYWJj45zt37iAyMhKjR4+W2I/ztVJNNYbsBBp+fjI7mZ3U8DSG/Gzo2QmoT34yO2vu2LFjaNasGbZt2wZ9fX0AQO/evTFgwAB88cUXCA8PR2RkJH799Vfo6OjA19cX06dPx0cffVTHlTcuzE5mZ21rzPn5ViRCflFx5RvWMf2m2miioaH040ZGRiIsLAwCgQDDhw+HoaEh7t69i7i4OOzduxdbtmxBjx49AAClpaVYtmwZ4uLiYGRkhP79+0MgECAzMxPHjh3D8ePHsX37dtjb20u0kZ+fj7Nnz8LMzAyXL19GdnY2TE1NlX4uFXn8+DGmTZuGhw8fwtbWFuPGjYO2tjauXLmCVatWISkpCTt37qzRM36///57DB06FMbGxvWqLmVS+UDC3bt3Zf4SKOfh4YHg4GBVl0EK0tLSatCdEaCs4yFL06ZNMXTo0Ar3rQ/P7MjNzYWfnx/09PSwY8cOcYcJKLtC4/fff69WZwQABg8eDF1dXfHPkydPhru7O6KiouqkQ/Ly5UvMmzcPFhYW2Llzp8QvkjFjxmDMmDGYOXMmjh07Bh0dHfE6bW1tWFlZYeXKldi3bx805Pwy1dfXl/g7P3v2LCIjI+Ho6FjpZ4GoKhpDdgINOz+ZnWWYndTQNIb8bMjZCahPfjI7lePOnTvw8PAQDyKUa9GiBdzc3BAfHw8A8PT0xPz582FhYVEXZTZ6zE5mZ21q7PmZX1SMHxL/T+Xt1JSvx19hqKdT+YZV8Pz5c6xduxaffvop9u3bJ/Hv8sGDB4iIiECXLl3Ey9asWYO4uDj06tULa9eulfjC/OnTp9i6dSusra2l2klJScGff/6J2bNnY8mSJUhKSsLYsWOVei4VycvLw9///nc8fvwYS5YswcSJEyU+jwkJCRAKhTX6st7c3BxZWVkIDw/HokWL6k1dyqbySgwMDCq85eyPP/6QGoEmSeW365w9e1Zi+caNG2FjY4P79++LlwUGBmLEiBF4/fo1FixYAAcHB3Tr1k18q8/169cxZswYdOzYEYMGDcKlS5cUPmZeXh6WLl2Kbt26oXPnzvjqq6+kbqXMzMxESEgI+vfvjw4dOsDZ2RmrVq1CSUmJst8WuSZNmgRXV9cq71dfbmHdtWsXXrx4gW+//VaiMwIAenp66Ny5s9LaMjU1haWlpcxbEWvDjh07kJeXh6CgIKnR6NatWyMgIACPHz/GkSNHJNYVFxdjypQpuHHjBg4dOlSbJVMDwuysuoacn8zOMsxOUgbmZ9U05OwE1Cc/mZ3KkZ+fj7/85S8y17Vp0wYaGhrYvn071q9fr3aDCMzOqmF2Ko59T1KVK1euoKSkBO7u7lKDe5aWlvjuu+/Eg1r3799HdHQ0LCwssHHjRqmr7lu2bIlFixbJHEBLSEhAs2bNMHLkSDRr1gyJiYmV1hYYGKi0gbOffvoJGRkZ8PHxwaRJk6QGtTw9PTFkyBCZ+5ZPvbV///4K27CysoKDgwN27Nghd0ooZdZVV1Q+kNC/f39ER0fj+vXrUuuuX7+OrVu3YsCAAaouQ608efIEY8eOhaamJr755htYWlrihx9+wPLly+Hr64u+ffti3rx5ePHiBWbPnq3Qw42ePHkCb29v5OfnY+HChfDw8MDJkyexdu1a8TZv377FP/7xD5w/fx6jRo3CihUr4OzsjJ9//hk//PBDjc+roKAA2dnZUq/a/qJN1U6ePInmzZvXypUGBQUFePz4cZ1dzZKSkgJzc3M4OzvLXD9o0CBoa2tLdcYBwMXFRTwfXmFhoapLJTXQWLMTUI/8ZHa+w+yk2tZY81MdshNQn/xkdiqPvCsjNTU1AaDCKUzoHWZnw6Yu2QkwPxuz8i/9b968CZFIVOG2e/bsEedHVaarKywsxNmzZ9G7d280adIEvXv3RmpqKl6/fl2j2hVVWlqKuLg46OrqYsaMGSpr53//+x+++uorFBcXY/Xq1fWmLmVT+dRGc+fOxcWLFzF69Gh069ZNPGfanTt3kJqaCgsLC8yZM0fVZaiVnJwcBAQEYPTo0QDK5qzs27cvjhw5gp07d8LKygoAIBQKsW7dOly9elU831lFx5w1axYmTJgAoGxewl9//RVnzpwRb9OkSRNERESgRYsW4s7l8OHDMWjQIBw6dAj+/v41Oq+wsDCJefPep8jVLm/fvkV2drbEMm1t7Xp3R8y9e/fg6OiokluXcnJyoK2tjeLiYqSnpyM8PBy5ubkYM2aM0ttSxMOHD9G1a1e5tzh+9NFH4rkXP1RUVISAgABMnz4dkZGRNf58ETXW7ATUIz+Zne8wO6m2Ndb8VIfsBNQnP5mdyiPvPaSqYXbKxuysX9kJMD8bMxcXF5iYmODSpUvw8/PD119/LfdZFOUPu+7Xr1+V2khJSUFhYSH69u0LAHBzc8PBgwdx8uRJeHt716h+Rdy9exfZ2dlwdXWFkZGRytrJzc3FZ599BkdHR5w4cQKXL19Gt27d6rwuZVP5QIKpqSni4uKwbt06HD9+XPzB09fXx8iRIzF37txaf8CGOnh/HrkWLVrAyMgItra24s4IALRv3x5A2fRSihg1apT4zxoaGrCyskJycrLENu93DIRCIdLT02FmZoa0tDSUlpaKr1KpjsmTJ8PNzU1q+YoVK/Dnn39Wun92drZUx6tLly51fkvkhwoKCuTOF1lTffr0kfi5WbNmWL58Oby8vFTSXmUKCgoqHck2MDBATk6O1PLS0lJ89tlncHV1FT+ISSAQqKhSUheNMTsB9chPZqckZifVtsaYn+qQnYD65CezU3mioqIQFxcntTwvLw8AxF8WvU9DQ0Pq3y8xO2Vhdtav7ASYn42ZkZERNmzYgJkzZ+L06dNITk5G3759MXHiRLi6ukoMHj169Aj6+vpV/vtLTEyEtrY2evfuDQDo1asXtLW1kZCQUCsDCRkZGQCAtm3bqrQdoVAIAJg/fz7Gjx+PkJCQCp8NUlt1KZvKBxKAssGEFStWYPny5Xj58iVEIhHMzMx4JUMtev+BNx8uKy0trfYxP9xXKBQiLi4OR48exbVr1wCUPQhKJBKhpKSkRh2Stm3bomfPnlLLDQ0NFeqQGBsbY/369VL71jf6+vriTriy/fTTT9DW1sbhw4dx4MABbN68GQ4ODippSxGGhoaVnmtubm6FHbSFCxdi2LBhWLduHUJCQmr8hSvR+xpDdgLqkZ/MTknMTqprjSE/1SE7AfXJT2an8uTl5VX4XtbVPO6NAbOT2QnUr+wEmJ+NnYuLC+Lj47F582YcOHAAycnJSE5ORocOHbBs2TL89a9/BVA2RVHz5s2rdOyioiKcOXMG3bt3F38+DAwM0L17d6SmpiInJwcmJiYAyqYLu3XrlnjfW7du4c2bN9i4caN4maGhIf72t79VqYbyKbUUnY7pzZs32Lp1q8TP5fU9efJEvLx///7iWXeAdxndtWtXeHh4IDExEYcPH5b7wPCq1lVf1MpAQjkNDQ2YmZnVZpNUiwoLCzFx4kSkp6dj8uTJWLJkCaytrfHtt9/iwIEDdV0etLW1ZXZo6pu2bdvi9u3bEIlESh9sc3Fxga6uLuzs7HDixAmsXr0a27dvV2obVWFpaVnhuebl5SEzMxMeHh5yj2FjY4MRI0Zg//798PHxUdlVIUSqUt+zE2gY+cnsfIfZSeqivudnQ8hOQH3yk9mpHLdv367rEqiGmJ3KoS7ZCTA/1YFAIMCyZcswZ84c7N27F1FRUbh58yYmTpyIiIgIuLi4QE9PDwUFBVU67rlz51BQUAAHBwdkZmaKl3fu3BkXLlzA6dOnMWLECABlX9TLyqDvv/9e/GcLC4sqDyQ0bdoUABSu/c2bNxJtljt16hROnTolUcv7AwnvCwgIwOnTp7Fu3Tp4eHjIHDiral31hcoftkw1V/6BK79Npr46fvw4rl+/jtWrV2Pu3Lmwt7eX+bR2qpibmxtevnyJc+fOqayNjz/+GD4+Prh8+bJEENa28nO9ePGizPXHjh1DSUlJpXPwzZ49G02bNkV4eHi9vFqF6gazU70wO99hdlJNMT/Vi7rkJ7OTVI3ZqV7UJTsB5qc6MTY2ho+PD06cOIGhQ4eiuLhY/LD21q1bIz8/Hy9evFD4eAkJCQCA8PBw9OvXT/zavHkzgLJpj8qFhobizp074tfw4cNhYWEhsez06dNVPqfWrVsDKHvWhyJatWol0Wb5v72QkBCJ5eUDILJ88sknGD9+PJ49e4atW7dCT0+vxnXVFxxIaADK5x+7efOmeNmzZ8+wf//+uipJpqysLABl/+jK5efn4/79+3VVUoM0YcIEmJqaIigoSOq24NLSUmzfvl0pndMpU6bAzMwMYWFhKCkpqfHxqmPcuHEwMTFBcHAwXr16JbEuIyMD69atQ7t27TBw4MAKjyMQCODj44Pjx48rPHcoNX7MTvXC7CzD7CRlYH6qF3XJT2YnqRqzU72oS3YCzE91pKenh3/+85/Q09MTZ1r5g4Pff3h7RYRCIZKTk9G2bVts2rRJ6mVpaYkLFy4gNzdXVacBoOxuGCMjI1y+fFll05HJ4ufnByMjI0RGRsq8k6eu6qqpWp3aiCQZGxsDAH755RcMGDAAzZs3l7nM0dERJiYmiIyMhFAohKamJvbt2wcHBwc8ffq0Lk9BQnmofPPNNxgzZgxycnKwa9cuNGnC8aqqMDY2xsaNGzF9+nR4eXlh1KhRsLKywuvXr3H48GE8efIE3bt3h7W1tXifGzduyLzVcfjw4dDX15fZjr6+Pvz8/BAcHIzY2FhMmDBBZeckj4mJCdavX48vv/wSQ4YMwZgxY9CqVSvcv38fsbGx0NHRwYYNGxS6QsbHxwd79uzBgwcPxHP4UePE7CRZmJ3MTqoc85NkUZf8ZHZSdTE7SRZ1yU6A+dmYFRQUQFNTE7q6ulLrtLS0oKmpCS2tsq+Ovb29sWPHDkRERGDIkCEy93l/+qvz588jPz8fX3zxBfr37y+17Y0bNxAeHo5Tp05h2LBhyj2xD85j5MiRiIqKQkREBObMmSNzO2VPU2ZiYgI/Pz+EhobiyJEj9aaumuJvijpkbW2NAQMG4PTp0/jvf/8rd1nTpk2xYcMGtGzZElFRUTh16hSCg4MxceLEuixfipOTE4KCgvDixQsEBwfjxIkTCA4OxowZM+q6tAbHyckJhw8fxqBBgxAfH48lS5YgIiICtra2OHjwoERnBAAuXryIFStWSL0qG9n19vbGJ598go0bN6p8FFieHj164ODBg+jZsyd2796NJUuW4OjRo/Dy8sLBgwdhZWWl0HH09PTkBi81LsxOkofZyeykijE/SR51yU9mJ1UHs5PkUZfsBJifjdHbt28REBCAKVOmyLwjac+ePcjLy4O7uzsAwNbWFuPGjcPDhw8xe/Zsqc9iTk4OfH19xVMBlU9rJG/Kq/Ll709vpCq+vr4wNzfHjz/+iLi4OKn1aWlpGD9+PF6/fq3UdidMmIBWrVph79699aqumtAQiUSiui6CiIiIiIiIiIiIqDblFgrxQ+L/1XUZlfL1+CsM9XSUesyYmBiEhYWhtLQU3bp1g729PbS0tPDbb7/h0qVLaNOmDXbu3AkzMzMAZdMVBQYGIj4+HiYmJnB3d4e5uTmysrJw8uRJFBUVISwsDP369UPPnj1haGiI06dPy7yiXiQSoU+fPsjJycEvv/xS5Qdw79+/H4sWLUKnTp3g6Ogotd7Y2Bj+/v7in3///XdMnz4dT58+hZ2dHZydnaGjo4ObN2/iwoULsLKyQkREBMzNzav4LgLu7u4oKSnB2bNnpdYdO3YMc+fOBQD4+/tj5syZEutVWZcqcCCBiIiIiIiIiIiI1M5bkQj5RcV1XUal9Jtqo4kKprjJzMxETEwMzp07h8ePHwMALCws4OnpCR8fHxgZGUntc/LkSezatQvXrl1Dbm4umjdvDldXV8yYMQOWlpZISUnB9OnTMWnSJCxZskRu20FBQdi1axf+9a9/YfDgwVWqu3wgQR4LCwuphzPn5uYiJiYGiYmJSE9PBwBYWlrCy8sLU6ZMkTldkyIqGkgQiUQYN24crl69KnMgQZV1qQIHEoiIiIiIiIiIiIiISC4+I4GIiIiIiIiIiIiIiOTiQAIREREREREREREREcnFgQQiIiIiIiIiIiIiIpKLAwlERERERERERERERCQXBxKIiIiIiIiIiIiIiEguDiQQEREREREREREREZFcHEggIiIiIiIiIiIiIiK5OJBARERERERERERERERycSCBiIiIiIiIiIiIiIjk4kACERERERERERERERHJxYEEIiIiIiIiIiIiIiKSiwMJREREREREREREREQkFwcSiIiIiIiIiIiIiIhIrv8HQcxswtMpjX8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1603.12x291.667 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1603.12x318.182 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with matplotlib.rc_context(mpl_rc),sns.axes_style(\"whitegrid\",rc=seaborn_rc),sns.color_palette(**palette_rc):\n",
    "    col_order = [\n",
    "        \"Mean Coverage of Best Alignment\",\n",
    "        \"AUARC\",\n",
    "        \"reads/s\",\n",
    "        \"RAM Usage (GB)\"\n",
    "    ]\n",
    "    for hod,fsuff in plot_versions:\n",
    "        df_plot = df_agg[np.isin(df_agg[\"Method\"],hod)].copy()\n",
    "        df_plot[\"Method\"] = pd.Categorical(df_plot[\"Method\"],categories=hod)\n",
    "        cur_aspect = 1.2 if fsuff == \"\" else 1.1\n",
    "        h = sns.catplot(data=df_plot,\n",
    "                        **(facet_params | {\n",
    "                            \"col\":\"Measure\",\n",
    "                            \"col_order\":col_order,\n",
    "                            \"aspect\":cur_aspect,\n",
    "                            \"height\":figwidth/cur_aspect/len(col_order)\n",
    "                        }),\n",
    "                        **global_params,\n",
    "                        kind=\"bar\",\n",
    "                        x=\"Platform\",y=\"Value\",\n",
    "                        sharey=False,\n",
    "                       )\n",
    "        h.legend.set_title(\"\")\n",
    "        h.set_xlabels(\"\")\n",
    "        h.tick_params(pad=0)\n",
    "        assert(len(h.axes[0]) == len(col_order))\n",
    "        meas_grouped = df_plot.groupby(\"Measure\")\n",
    "        for measure,ax in zip(col_order,h.axes[0]):\n",
    "            df_m = meas_grouped.get_group(measure)\n",
    "            for x,(platform,df_g) in enumerate(df_m.groupby(\"Platform\")):\n",
    "                y = df_g[\"Value\"].to_numpy()\n",
    "                yerr = np.array(df_g[\"Error\"].tolist()).T\n",
    "                if yerr[0][0] is None:\n",
    "                    yerr = None\n",
    "                else:\n",
    "                    yerr[0] = y - yerr[0]\n",
    "                    yerr[1] = yerr[1] - y\n",
    "                xvals = []\n",
    "                for method,container in zip(hod,ax.containers):\n",
    "                    if len(container) == 0:\n",
    "                        continue\n",
    "                    assert(len(container) == len(platforms))\n",
    "                    width = container.patches[x].get_width()\n",
    "                    xvals.append(container.patches[x].get_xy()[0]+container.patches[x].get_width()/2)\n",
    "                ax.errorbar(xvals,\n",
    "                            y=y,\n",
    "                            yerr=yerr,\n",
    "                            fmt='none',\n",
    "                            capsize=0.75,\n",
    "                            color='black',\n",
    "                            linewidth=0.5,\n",
    "                )\n",
    "            ax.set_ylabel(measure)\n",
    "            if measure == \"reads/s\":\n",
    "                ax.set_yscale(\"log\")\n",
    "                ax.set_yticks(np.logspace(-3,3,4))\n",
    "                ax.set_ylim([1e-4,2e3])\n",
    "            if measure == \"AUARC\":\n",
    "                ax.set_yticks(np.linspace(0,1,6))\n",
    "            if measure == \"RAM Usage (GB)\":\n",
    "                ax.set_yticks(np.linspace(0,4,5))\n",
    "            if measure == \"Mean Coverage of Best Alignment\":\n",
    "                ax.set_ylabel(\"Mean Coverage\\nof Best Alignment\",fontsize=7)\n",
    "                ax.set_yticks(np.linspace(0,1,6))\n",
    "            ax.set_xticks(ax.get_xticks())\n",
    "            ax.set_xticklabels(\n",
    "                # [a.get_text().replace(\" \",\"\\n\") for a in ax.get_xticklabels()],\n",
    "                # ax.get_xticklabels(),\n",
    "                [a.get_text().split(\" \")[-1] for a in ax.get_xticklabels()],\n",
    "                # rotation=20,\n",
    "                # ha='right',\n",
    "                # rotation_mode='anchor',\n",
    "                fontsize=7\n",
    "            )\n",
    "            ax.tick_params(axis=\"both\",pad=0)\n",
    "            ax.set_title(\"\")\n",
    "        # sns.move_legend(h, \"lower center\",title=None,ncol=len(palette),bbox_to_anchor=(.5,-0.01),fontsize=fontsize)\n",
    "        h.savefig(f'compare_bar{fsuff}.pdf')\n",
    "        plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": 5
}