{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise VI: Revisiting Linear and Logistic Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following exercise we will follow an adapted version of [Prof. Tal Yarkoni](https://talyarkoni.org/)'s workshop in  the [NeuroHackademy](https://neurohackademy.org/) 2020 (available [here](https://github.com/neurohackademy/nh2020-curriculum/tree/master/tu-machine-learning-yarkoni))."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our dataset includes features extracted from the [Autism Brain Imaging Data Exchange II (ABIDE II)](http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html) project using [FreeSurfer](https://surfer.nmr.mgh.harvard.edu/) (available [here](https://github.com/rb643/Normative_modeling)) <sup>{cite}`richard2019normative`</sup>, as well as some demographic and phenotypic information about the subjects. \n",
    "\n",
    "To review the methods discussed in the course so far, we will try and use FreeSurfer's estimated brain features to predict age and Autistic Spectrum Disorder (ASD) diagnosis as a review for both linear and logistic regression (respectively)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To read a `.tsv` file we have to specify `delimiter=\"\\t\"`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "URL = \"https://raw.githubusercontent.com/neurohackademy/nh2020-curriculum/master/tu-machine-learning-yarkoni/data/abide2.tsv\"\n",
    "data = pd.read_csv(URL, delimiter=\"\\t\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Never hurts to clean up a little:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "IGNORED_COLUMNS = [\"age_resid\", \"sex\"]\n",
    "REPLACE_DICT = {\"group\": {1: \"ASD\", 2: \"Control\"}}\n",
    "\n",
    "data.drop(columns=IGNORED_COLUMNS, inplace=True)\n",
    "data.replace(REPLACE_DICT, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## General Inspection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "GROUP_COLORS = {\"ASD\": \"purple\", \"Control\": \"orange\"}\n",
    "\n",
    "def highlight_group(value: str) -> str:\n",
    "    try:\n",
    "        color = GROUP_COLORS[value]        \n",
    "    except KeyError:\n",
    "        pass\n",
    "    else:\n",
    "        return f\"color: {color}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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#T_457a2_row24_col1383 {\n",
       "  background-color: #023858;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col7, #T_457a2_row0_col61, #T_457a2_row0_col217, #T_457a2_row0_col727, #T_457a2_row0_col781, #T_457a2_row0_col835, #T_457a2_row0_col937, #T_457a2_row1_col222, #T_457a2_row1_col352, #T_457a2_row1_col736, #T_457a2_row1_col942, #T_457a2_row1_col1072, #T_457a2_row2_col295, #T_457a2_row2_col524, #T_457a2_row2_col643, #T_457a2_row2_col862, #T_457a2_row3_col32, #T_457a2_row3_col52, #T_457a2_row3_col87, #T_457a2_row3_col293, #T_457a2_row3_col752, #T_457a2_row3_col772, #T_457a2_row3_col807, #T_457a2_row3_col1013, #T_457a2_row3_col1260, #T_457a2_row4_col499, #T_457a2_row4_col1157, #T_457a2_row4_col1313, #T_457a2_row4_col1365, #T_457a2_row5_col20, #T_457a2_row5_col111, #T_457a2_row5_col125, #T_457a2_row5_col301, #T_457a2_row5_col363, #T_457a2_row5_col740, #T_457a2_row5_col797, #T_457a2_row5_col831, #T_457a2_row5_col845, #T_457a2_row5_col1021, #T_457a2_row5_col1105, #T_457a2_row5_col1112, #T_457a2_row5_col1187, #T_457a2_row6_col33, #T_457a2_row6_col103, #T_457a2_row6_col332, #T_457a2_row6_col487, #T_457a2_row6_col529, #T_457a2_row6_col710, #T_457a2_row6_col753, #T_457a2_row6_col823, #T_457a2_row6_col916, #T_457a2_row6_col983, #T_457a2_row6_col1052, #T_457a2_row6_col1281, #T_457a2_row6_col1345, #T_457a2_row6_col1439, #T_457a2_row7_col150, #T_457a2_row7_col708, #T_457a2_row7_col870, #T_457a2_row7_col1312, #T_457a2_row8_col98, #T_457a2_row8_col186, #T_457a2_row8_col311, #T_457a2_row8_col393, #T_457a2_row8_col430, #T_457a2_row8_col651, #T_457a2_row8_col681, #T_457a2_row8_col685, #T_457a2_row8_col693, #T_457a2_row8_col818, #T_457a2_row8_col824, #T_457a2_row8_col906, #T_457a2_row8_col1187, #T_457a2_row8_col1284, #T_457a2_row9_col63, #T_457a2_row9_col128, #T_457a2_row9_col783, #T_457a2_row9_col1194, #T_457a2_row9_col1350, #T_457a2_row10_col20, #T_457a2_row10_col159, #T_457a2_row10_col740, #T_457a2_row10_col1411, #T_457a2_row11_col39, #T_457a2_row11_col164, #T_457a2_row11_col235, #T_457a2_row11_col389, #T_457a2_row11_col487, #T_457a2_row11_col687, #T_457a2_row11_col896, #T_457a2_row11_col955, #T_457a2_row11_col1176, #T_457a2_row12_col156, #T_457a2_row12_col178, #T_457a2_row12_col197, #T_457a2_row12_col205, #T_457a2_row12_col217, #T_457a2_row12_col746, #T_457a2_row12_col876, #T_457a2_row12_col898, #T_457a2_row12_col917, #T_457a2_row12_col937, #T_457a2_row12_col1088, #T_457a2_row13_col563, #T_457a2_row13_col643, #T_457a2_row13_col983, #T_457a2_row13_col1121, #T_457a2_row13_col1253, #T_457a2_row13_col1300, #T_457a2_row14_col428, #T_457a2_row14_col434, #T_457a2_row14_col452, #T_457a2_row14_col525, #T_457a2_row14_col594, #T_457a2_row14_col606, #T_457a2_row14_col631, #T_457a2_row15_col33, #T_457a2_row15_col34, #T_457a2_row15_col255, #T_457a2_row15_col262, #T_457a2_row15_col409, #T_457a2_row15_col688, #T_457a2_row15_col753, #T_457a2_row15_col754, #T_457a2_row15_col975, #T_457a2_row15_col982, #T_457a2_row15_col1242, #T_457a2_row15_col1384, #T_457a2_row16_col193, #T_457a2_row16_col223, #T_457a2_row16_col321, #T_457a2_row16_col388, #T_457a2_row16_col447, #T_457a2_row16_col597, #T_457a2_row16_col913, #T_457a2_row16_col943, #T_457a2_row16_col960, #T_457a2_row16_col1041, #T_457a2_row16_col1309, #T_457a2_row16_col1426, #T_457a2_row17_col85, #T_457a2_row17_col169, #T_457a2_row17_col296, #T_457a2_row17_col386, #T_457a2_row17_col457, #T_457a2_row17_col551, #T_457a2_row17_col680, #T_457a2_row17_col805, #T_457a2_row17_col936, #T_457a2_row17_col1128, #T_457a2_row17_col1210, #T_457a2_row17_col1216, #T_457a2_row17_col1414, #T_457a2_row18_col44, #T_457a2_row18_col45, #T_457a2_row18_col259, #T_457a2_row18_col313, #T_457a2_row18_col344, #T_457a2_row18_col383, #T_457a2_row18_col499, #T_457a2_row18_col562, #T_457a2_row18_col621, #T_457a2_row18_col721, #T_457a2_row18_col764, #T_457a2_row18_col979, #T_457a2_row18_col1033, #T_457a2_row18_col1064, #T_457a2_row19_col58, #T_457a2_row19_col189, #T_457a2_row19_col255, #T_457a2_row19_col435, #T_457a2_row19_col461, #T_457a2_row19_col509, #T_457a2_row19_col621, #T_457a2_row19_col625, #T_457a2_row19_col778, #T_457a2_row19_col975, #T_457a2_row20_col203, #T_457a2_row20_col251, #T_457a2_row20_col326, #T_457a2_row20_col463, #T_457a2_row20_col971, #T_457a2_row20_col1046, #T_457a2_row20_col1133, #T_457a2_row21_col12, #T_457a2_row21_col732, #T_457a2_row21_col849, #T_457a2_row21_col897, #T_457a2_row21_col1183, #T_457a2_row21_col1221, #T_457a2_row22_col155, #T_457a2_row22_col251, #T_457a2_row22_col434, #T_457a2_row22_col441, #T_457a2_row22_col600, #T_457a2_row22_col773, #T_457a2_row22_col875, #T_457a2_row22_col971, #T_457a2_row22_col1330, #T_457a2_row23_col68, #T_457a2_row23_col148, #T_457a2_row23_col175, #T_457a2_row23_col377, #T_457a2_row23_col470, #T_457a2_row23_col527, #T_457a2_row23_col593, #T_457a2_row23_col680, #T_457a2_row23_col868, #T_457a2_row24_col85, #T_457a2_row24_col101, #T_457a2_row24_col167, #T_457a2_row24_col197, #T_457a2_row24_col292, #T_457a2_row24_col805, #T_457a2_row24_col887, #T_457a2_row24_col917, #T_457a2_row24_col1397 {\n",
       "  background-color: #a4bcda;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col8, #T_457a2_row0_col656, #T_457a2_row0_col728, #T_457a2_row0_col747, #T_457a2_row0_col1197, #T_457a2_row0_col1408, #T_457a2_row1_col82, #T_457a2_row1_col311, #T_457a2_row1_col503, #T_457a2_row1_col584, #T_457a2_row1_col784, #T_457a2_row1_col954, #T_457a2_row1_col1031, #T_457a2_row1_col1174, #T_457a2_row1_col1401, #T_457a2_row2_col154, #T_457a2_row2_col231, #T_457a2_row2_col398, #T_457a2_row2_col462, #T_457a2_row2_col489, #T_457a2_row2_col751, #T_457a2_row2_col951, #T_457a2_row2_col1210, #T_457a2_row2_col1340, #T_457a2_row2_col1372, #T_457a2_row2_col1380, #T_457a2_row2_col1389, #T_457a2_row3_col431, #T_457a2_row3_col480, #T_457a2_row3_col492, #T_457a2_row3_col1173, #T_457a2_row3_col1308, #T_457a2_row3_col1354, #T_457a2_row3_col1355, #T_457a2_row3_col1404, #T_457a2_row4_col31, #T_457a2_row4_col157, #T_457a2_row4_col228, #T_457a2_row4_col274, #T_457a2_row4_col353, #T_457a2_row4_col631, #T_457a2_row4_col675, #T_457a2_row4_col877, #T_457a2_row4_col948, #T_457a2_row4_col994, #T_457a2_row4_col1073, #T_457a2_row4_col1171, #T_457a2_row5_col454, #T_457a2_row5_col1180, #T_457a2_row5_col1330, #T_457a2_row7_col282, #T_457a2_row7_col458, #T_457a2_row7_col1002, #T_457a2_row7_col1337, #T_457a2_row8_col13, #T_457a2_row8_col378, #T_457a2_row8_col825, #T_457a2_row8_col1086, #T_457a2_row9_col389, #T_457a2_row9_col406, #T_457a2_row9_col441, #T_457a2_row9_col656, #T_457a2_row9_col781, #T_457a2_row9_col1179, #T_457a2_row9_col1307, #T_457a2_row10_col234, #T_457a2_row10_col954, #T_457a2_row10_col1089, #T_457a2_row10_col1157, #T_457a2_row11_col108, #T_457a2_row11_col181, #T_457a2_row11_col317, #T_457a2_row11_col358, #T_457a2_row11_col474, #T_457a2_row11_col828, #T_457a2_row11_col956, #T_457a2_row11_col1037, #T_457a2_row11_col1078, #T_457a2_row11_col1277, #T_457a2_row12_col94, #T_457a2_row12_col241, #T_457a2_row12_col499, #T_457a2_row12_col569, #T_457a2_row12_col689, #T_457a2_row12_col709, #T_457a2_row12_col712, #T_457a2_row12_col814, #T_457a2_row12_col1349, #T_457a2_row13_col416, #T_457a2_row13_col419, #T_457a2_row13_col480, #T_457a2_row13_col665, #T_457a2_row13_col875, #T_457a2_row13_col1349, #T_457a2_row13_col1432, #T_457a2_row14_col610, #T_457a2_row14_col1252, #T_457a2_row14_col1384, #T_457a2_row14_col1404, #T_457a2_row15_col84, #T_457a2_row15_col92, #T_457a2_row15_col128, #T_457a2_row15_col266, #T_457a2_row15_col296, #T_457a2_row15_col359, #T_457a2_row15_col447, #T_457a2_row15_col592, #T_457a2_row15_col804, #T_457a2_row15_col812, #T_457a2_row15_col848, #T_457a2_row15_col986, #T_457a2_row15_col1016, #T_457a2_row15_col1079, #T_457a2_row15_col1148, #T_457a2_row15_col1331, #T_457a2_row16_col1279, #T_457a2_row16_col1302, #T_457a2_row16_col1310, #T_457a2_row17_col131, #T_457a2_row17_col362, #T_457a2_row17_col571, #T_457a2_row17_col661, #T_457a2_row17_col744, #T_457a2_row17_col851, #T_457a2_row17_col1082, #T_457a2_row17_col1113, #T_457a2_row17_col1175, #T_457a2_row18_col149, #T_457a2_row18_col673, #T_457a2_row18_col688, #T_457a2_row18_col869, #T_457a2_row18_col952, #T_457a2_row18_col1111, #T_457a2_row18_col1189, #T_457a2_row18_col1391, #T_457a2_row19_col33, #T_457a2_row19_col225, #T_457a2_row19_col718, #T_457a2_row19_col753, #T_457a2_row19_col945, #T_457a2_row19_col1253, #T_457a2_row19_col1407, #T_457a2_row20_col152, #T_457a2_row20_col317, #T_457a2_row20_col632, #T_457a2_row20_col872, #T_457a2_row20_col1037, #T_457a2_row20_col1237, #T_457a2_row20_col1240, #T_457a2_row20_col1309, #T_457a2_row20_col1336, #T_457a2_row21_col205, #T_457a2_row21_col211, #T_457a2_row21_col931, #T_457a2_row21_col1101, #T_457a2_row21_col1187, #T_457a2_row22_col91, #T_457a2_row22_col811, #T_457a2_row22_col1138, #T_457a2_row22_col1323, #T_457a2_row22_col1329, #T_457a2_row22_col1387, #T_457a2_row22_col1438, #T_457a2_row23_col655, #T_457a2_row23_col1288, #T_457a2_row24_col87, #T_457a2_row24_col160, #T_457a2_row24_col217, #T_457a2_row24_col807 {\n",
       "  background-color: #328dbf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col9, #T_457a2_row0_col121, #T_457a2_row0_col169, #T_457a2_row0_col187, #T_457a2_row0_col337, #T_457a2_row0_col422, #T_457a2_row0_col643, #T_457a2_row0_col689, #T_457a2_row0_col729, #T_457a2_row0_col841, #T_457a2_row0_col889, #T_457a2_row0_col907, #T_457a2_row0_col1005, #T_457a2_row0_col1168, #T_457a2_row0_col1441, #T_457a2_row1_col700, #T_457a2_row1_col1114, #T_457a2_row1_col1115, #T_457a2_row1_col1158, #T_457a2_row2_col307, #T_457a2_row2_col359, #T_457a2_row2_col423, #T_457a2_row2_col1027, #T_457a2_row2_col1079, #T_457a2_row2_col1169, #T_457a2_row2_col1290, #T_457a2_row3_col462, #T_457a2_row3_col469, #T_457a2_row3_col1078, #T_457a2_row3_col1266, #T_457a2_row3_col1360, #T_457a2_row4_col258, #T_457a2_row4_col302, #T_457a2_row4_col359, #T_457a2_row4_col426, #T_457a2_row4_col799, #T_457a2_row4_col978, #T_457a2_row4_col1079, #T_457a2_row4_col1113, #T_457a2_row4_col1225, #T_457a2_row5_col156, #T_457a2_row5_col692, #T_457a2_row5_col779, #T_457a2_row5_col1318, #T_457a2_row6_col65, #T_457a2_row6_col409, #T_457a2_row7_col354, #T_457a2_row7_col517, #T_457a2_row7_col550, #T_457a2_row7_col1074, #T_457a2_row8_col1209, #T_457a2_row8_col1257, #T_457a2_row9_col52, #T_457a2_row9_col96, #T_457a2_row9_col346, #T_457a2_row9_col772, #T_457a2_row9_col816, #T_457a2_row9_col1066, #T_457a2_row9_col1382, #T_457a2_row9_col1428, #T_457a2_row10_col42, #T_457a2_row10_col346, #T_457a2_row10_col762, #T_457a2_row11_col191, #T_457a2_row11_col313, #T_457a2_row11_col564, #T_457a2_row11_col764, #T_457a2_row11_col809, #T_457a2_row11_col911, #T_457a2_row11_col1033, #T_457a2_row11_col1214, #T_457a2_row12_col214, #T_457a2_row12_col694, #T_457a2_row12_col782, #T_457a2_row12_col934, #T_457a2_row12_col1125, #T_457a2_row12_col1287, #T_457a2_row12_col1329, #T_457a2_row12_col1405, #T_457a2_row12_col1428, #T_457a2_row13_col148, #T_457a2_row13_col547, #T_457a2_row13_col588, #T_457a2_row13_col693, #T_457a2_row13_col868, #T_457a2_row14_col275, #T_457a2_row14_col995, #T_457a2_row14_col1155, #T_457a2_row14_col1190, #T_457a2_row15_col903, #T_457a2_row15_col1029, #T_457a2_row15_col1427, #T_457a2_row16_col655, #T_457a2_row16_col1088, #T_457a2_row16_col1196, #T_457a2_row17_col222, #T_457a2_row17_col432, #T_457a2_row17_col750, #T_457a2_row17_col849, #T_457a2_row17_col924, #T_457a2_row17_col1326, #T_457a2_row18_col408, #T_457a2_row18_col1153, #T_457a2_row18_col1438, #T_457a2_row19_col383, #T_457a2_row19_col436, #T_457a2_row19_col564, #T_457a2_row19_col830, #T_457a2_row19_col995, #T_457a2_row19_col1234, #T_457a2_row19_col1424, #T_457a2_row20_col90, #T_457a2_row20_col140, #T_457a2_row20_col237, #T_457a2_row20_col764, #T_457a2_row20_col810, #T_457a2_row20_col838, #T_457a2_row20_col860, #T_457a2_row20_col1130, #T_457a2_row20_col1366, #T_457a2_row20_col1393, #T_457a2_row21_col208, #T_457a2_row21_col448, #T_457a2_row21_col511, #T_457a2_row21_col756, #T_457a2_row21_col928, #T_457a2_row21_col1155, #T_457a2_row22_col168, #T_457a2_row22_col202, #T_457a2_row22_col460, #T_457a2_row22_col559, #T_457a2_row22_col888, #T_457a2_row22_col1366, #T_457a2_row23_col267, #T_457a2_row23_col924, #T_457a2_row23_col987, #T_457a2_row23_col1088, #T_457a2_row24_col143, #T_457a2_row24_col202, #T_457a2_row24_col339, #T_457a2_row24_col863, #T_457a2_row24_col922, #T_457a2_row24_col1059, #T_457a2_row24_col1116, #T_457a2_row24_col1401 {\n",
       "  background-color: #3790c0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col10, #T_457a2_row0_col95, #T_457a2_row0_col271, #T_457a2_row0_col411, #T_457a2_row0_col451, #T_457a2_row0_col713, #T_457a2_row0_col730, #T_457a2_row0_col815, #T_457a2_row0_col991, #T_457a2_row0_col1027, #T_457a2_row0_col1096, #T_457a2_row0_col1319, #T_457a2_row0_col1396, #T_457a2_row0_col1398, #T_457a2_row0_col1400, #T_457a2_row1_col233, #T_457a2_row1_col271, #T_457a2_row1_col441, #T_457a2_row1_col531, #T_457a2_row1_col560, #T_457a2_row1_col953, #T_457a2_row1_col991, #T_457a2_row1_col1151, #T_457a2_row1_col1192, #T_457a2_row1_col1231, #T_457a2_row1_col1298, #T_457a2_row1_col1340, #T_457a2_row1_col1351, #T_457a2_row2_col80, #T_457a2_row2_col615, #T_457a2_row2_col1066, #T_457a2_row2_col1098, #T_457a2_row2_col1388, #T_457a2_row3_col137, #T_457a2_row3_col602, #T_457a2_row3_col713, #T_457a2_row3_col857, #T_457a2_row3_col1252, #T_457a2_row3_col1385, #T_457a2_row4_col156, #T_457a2_row4_col171, #T_457a2_row4_col266, #T_457a2_row4_col444, #T_457a2_row4_col551, #T_457a2_row4_col608, #T_457a2_row4_col632, #T_457a2_row4_col679, #T_457a2_row4_col876, #T_457a2_row4_col986, #T_457a2_row4_col1304, #T_457a2_row5_col234, #T_457a2_row5_col677, #T_457a2_row5_col954, #T_457a2_row5_col1152, #T_457a2_row6_col258, #T_457a2_row6_col320, #T_457a2_row6_col747, #T_457a2_row6_col789, #T_457a2_row6_col876, #T_457a2_row6_col978, #T_457a2_row6_col1040, #T_457a2_row7_col288, #T_457a2_row7_col370, #T_457a2_row7_col663, #T_457a2_row7_col709, #T_457a2_row7_col1008, #T_457a2_row7_col1154, #T_457a2_row7_col1159, #T_457a2_row7_col1235, #T_457a2_row8_col659, #T_457a2_row8_col1208, #T_457a2_row8_col1310, #T_457a2_row8_col1382, #T_457a2_row8_col1438, #T_457a2_row9_col133, #T_457a2_row9_col456, #T_457a2_row9_col853, #T_457a2_row9_col1117, #T_457a2_row10_col26, #T_457a2_row10_col363, #T_457a2_row10_col535, #T_457a2_row10_col746, #T_457a2_row10_col1083, #T_457a2_row10_col1131, #T_457a2_row10_col1389, #T_457a2_row11_col77, #T_457a2_row11_col238, #T_457a2_row11_col797, #T_457a2_row11_col958, #T_457a2_row12_col54, #T_457a2_row12_col560, #T_457a2_row12_col774, #T_457a2_row12_col858, #T_457a2_row12_col865, #T_457a2_row12_col1333, #T_457a2_row12_col1404, #T_457a2_row13_col219, #T_457a2_row13_col370, #T_457a2_row13_col452, #T_457a2_row13_col492, #T_457a2_row13_col633, #T_457a2_row13_col1208, #T_457a2_row13_col1261, #T_457a2_row13_col1351, #T_457a2_row13_col1392, #T_457a2_row15_col81, #T_457a2_row15_col707, #T_457a2_row15_col1088, #T_457a2_row15_col1205, #T_457a2_row16_col197, #T_457a2_row16_col645, #T_457a2_row16_col917, #T_457a2_row16_col975, #T_457a2_row17_col80, #T_457a2_row17_col275, #T_457a2_row17_col374, #T_457a2_row17_col800, #T_457a2_row17_col995, #T_457a2_row17_col1147, #T_457a2_row17_col1150, #T_457a2_row17_col1422, #T_457a2_row18_col331, #T_457a2_row18_col381, #T_457a2_row18_col1051, #T_457a2_row18_col1396, #T_457a2_row19_col1084, #T_457a2_row20_col183, #T_457a2_row20_col442, #T_457a2_row20_col903, #T_457a2_row20_col1251, #T_457a2_row20_col1308, #T_457a2_row20_col1403, #T_457a2_row21_col436, #T_457a2_row21_col1269, #T_457a2_row22_col90, #T_457a2_row23_col1381, #T_457a2_row24_col622, #T_457a2_row24_col736, #T_457a2_row24_col1002 {\n",
       "  background-color: #1278b4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col11, #T_457a2_row0_col18, #T_457a2_row0_col80, #T_457a2_row0_col373, #T_457a2_row0_col731, #T_457a2_row0_col738, #T_457a2_row0_col754, #T_457a2_row0_col800, #T_457a2_row1_col825, #T_457a2_row1_col1229, #T_457a2_row1_col1289, #T_457a2_row2_col314, #T_457a2_row2_col796, #T_457a2_row2_col1234, #T_457a2_row2_col1256, #T_457a2_row3_col13, #T_457a2_row3_col120, #T_457a2_row3_col311, #T_457a2_row3_col435, #T_457a2_row3_col840, #T_457a2_row3_col1031, #T_457a2_row3_col1223, #T_457a2_row4_col254, #T_457a2_row4_col270, #T_457a2_row4_col298, #T_457a2_row4_col536, #T_457a2_row4_col974, #T_457a2_row4_col990, #T_457a2_row5_col1179, #T_457a2_row7_col6, #T_457a2_row7_col347, #T_457a2_row7_col516, #T_457a2_row7_col726, #T_457a2_row7_col1187, #T_457a2_row7_col1226, #T_457a2_row7_col1250, #T_457a2_row7_col1319, #T_457a2_row7_col1329, #T_457a2_row7_col1432, #T_457a2_row9_col633, #T_457a2_row9_col1381, #T_457a2_row11_col114, #T_457a2_row11_col189, #T_457a2_row11_col258, #T_457a2_row11_col834, #T_457a2_row11_col909, #T_457a2_row11_col978, #T_457a2_row12_col309, #T_457a2_row12_col1029, #T_457a2_row12_col1383, #T_457a2_row13_col487, #T_457a2_row13_col576, #T_457a2_row14_col1363, #T_457a2_row14_col1392, #T_457a2_row14_col1426, #T_457a2_row15_col261, #T_457a2_row15_col356, #T_457a2_row15_col981, #T_457a2_row15_col1157, #T_457a2_row15_col1347, #T_457a2_row15_col1408, #T_457a2_row16_col220, #T_457a2_row17_col67, #T_457a2_row17_col1095, #T_457a2_row17_col1404, #T_457a2_row20_col74, #T_457a2_row20_col466, #T_457a2_row20_col711, #T_457a2_row20_col794, #T_457a2_row21_col372, #T_457a2_row23_col1116, #T_457a2_row24_col182, #T_457a2_row24_col902, #T_457a2_row24_col1391 {\n",
       "  background-color: #045788;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col12, #T_457a2_row0_col83, #T_457a2_row0_col134, #T_457a2_row0_col278, #T_457a2_row0_col336, #T_457a2_row0_col367, #T_457a2_row0_col459, #T_457a2_row0_col489, #T_457a2_row0_col538, #T_457a2_row0_col614, #T_457a2_row0_col721, #T_457a2_row0_col732, #T_457a2_row0_col803, #T_457a2_row0_col854, #T_457a2_row0_col998, #T_457a2_row0_col1033, #T_457a2_row0_col1147, #T_457a2_row0_col1166, #T_457a2_row0_col1195, #T_457a2_row0_col1242, #T_457a2_row1_col110, #T_457a2_row1_col247, #T_457a2_row1_col455, #T_457a2_row1_col460, #T_457a2_row1_col542, #T_457a2_row1_col614, #T_457a2_row1_col630, #T_457a2_row1_col658, #T_457a2_row1_col1160, #T_457a2_row1_col1235, #T_457a2_row1_col1312, #T_457a2_row2_col59, #T_457a2_row2_col77, #T_457a2_row2_col95, #T_457a2_row2_col440, #T_457a2_row2_col457, #T_457a2_row2_col533, #T_457a2_row2_col703, #T_457a2_row2_col742, #T_457a2_row2_col779, #T_457a2_row2_col797, #T_457a2_row2_col815, #T_457a2_row2_col1209, #T_457a2_row2_col1280, #T_457a2_row2_col1362, #T_457a2_row2_col1420, #T_457a2_row3_col89, #T_457a2_row3_col288, #T_457a2_row3_col307, #T_457a2_row3_col432, #T_457a2_row3_col497, #T_457a2_row3_col619, #T_457a2_row3_col710, #T_457a2_row3_col809, #T_457a2_row3_col1008, #T_457a2_row3_col1027, #T_457a2_row3_col1144, #T_457a2_row3_col1170, #T_457a2_row3_col1181, #T_457a2_row3_col1244, #T_457a2_row4_col114, #T_457a2_row4_col227, #T_457a2_row4_col365, #T_457a2_row4_col436, #T_457a2_row4_col473, #T_457a2_row4_col626, #T_457a2_row4_col834, #T_457a2_row4_col909, #T_457a2_row4_col947, #T_457a2_row5_col24, #T_457a2_row5_col131, #T_457a2_row5_col851, #T_457a2_row5_col1131, #T_457a2_row5_col1165, #T_457a2_row5_col1383, #T_457a2_row6_col274, #T_457a2_row6_col330, #T_457a2_row6_col897, #T_457a2_row6_col994, #T_457a2_row6_col1050, #T_457a2_row6_col1121, #T_457a2_row7_col892, #T_457a2_row7_col1205, #T_457a2_row7_col1398, #T_457a2_row8_col1125, #T_457a2_row8_col1254, #T_457a2_row8_col1281, #T_457a2_row8_col1403, #T_457a2_row9_col40, #T_457a2_row9_col699, #T_457a2_row9_col760, #T_457a2_row9_col782, #T_457a2_row10_col1217, #T_457a2_row10_col1227, #T_457a2_row10_col1285, #T_457a2_row11_col267, #T_457a2_row11_col674, #T_457a2_row11_col926, #T_457a2_row11_col987, #T_457a2_row12_col67, #T_457a2_row12_col137, #T_457a2_row12_col198, #T_457a2_row12_col222, #T_457a2_row12_col294, #T_457a2_row12_col330, #T_457a2_row12_col353, #T_457a2_row12_col787, #T_457a2_row12_col857, #T_457a2_row12_col918, #T_457a2_row12_col942, #T_457a2_row12_col1014, #T_457a2_row12_col1050, #T_457a2_row12_col1073, #T_457a2_row12_col1110, #T_457a2_row12_col1207, #T_457a2_row12_col1217, #T_457a2_row12_col1307, #T_457a2_row12_col1341, #T_457a2_row13_col88, #T_457a2_row13_col173, #T_457a2_row13_col191, #T_457a2_row13_col434, #T_457a2_row13_col440, #T_457a2_row13_col500, #T_457a2_row13_col722, #T_457a2_row13_col808, #T_457a2_row13_col893, #T_457a2_row13_col911, #T_457a2_row13_col1159, #T_457a2_row13_col1200, #T_457a2_row13_col1287, #T_457a2_row13_col1390, #T_457a2_row13_col1395, #T_457a2_row14_col40, #T_457a2_row14_col497, #T_457a2_row14_col1187, #T_457a2_row15_col168, #T_457a2_row15_col888, #T_457a2_row15_col1044, #T_457a2_row15_col1133, #T_457a2_row15_col1221, #T_457a2_row15_col1257, #T_457a2_row15_col1265, #T_457a2_row15_col1290, #T_457a2_row16_col484, #T_457a2_row16_col1127, #T_457a2_row17_col14, #T_457a2_row17_col734, #T_457a2_row17_col1035, #T_457a2_row17_col1116, #T_457a2_row17_col1313, #T_457a2_row18_col271, #T_457a2_row18_col501, #T_457a2_row18_col526, #T_457a2_row18_col610, #T_457a2_row18_col861, #T_457a2_row18_col991, #T_457a2_row18_col1255, #T_457a2_row18_col1266, #T_457a2_row18_col1405, #T_457a2_row19_col130, #T_457a2_row19_col702, #T_457a2_row19_col951, #T_457a2_row19_col1230, #T_457a2_row19_col1379, #T_457a2_row20_col68, #T_457a2_row20_col608, #T_457a2_row20_col1173, #T_457a2_row20_col1186, #T_457a2_row20_col1276, #T_457a2_row20_col1316, #T_457a2_row21_col26, #T_457a2_row21_col1089, #T_457a2_row21_col1121, #T_457a2_row22_col256, #T_457a2_row22_col263, #T_457a2_row22_col371, #T_457a2_row22_col476, #T_457a2_row22_col822, #T_457a2_row22_col976, #T_457a2_row23_col150, #T_457a2_row23_col325, #T_457a2_row23_col1045, #T_457a2_row23_col1133, #T_457a2_row23_col1201, #T_457a2_row23_col1204, #T_457a2_row23_col1256, #T_457a2_row23_col1325, #T_457a2_row23_col1409, #T_457a2_row24_col98 {\n",
       "  background-color: #2c89bd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col13, #T_457a2_row0_col231, #T_457a2_row0_col603, #T_457a2_row0_col733, #T_457a2_row0_col1239, #T_457a2_row0_col1326, #T_457a2_row0_col1415, #T_457a2_row2_col153, #T_457a2_row2_col377, #T_457a2_row2_col557, #T_457a2_row2_col833, #T_457a2_row2_col1232, #T_457a2_row2_col1286, #T_457a2_row2_col1369, #T_457a2_row3_col204, #T_457a2_row3_col1127, #T_457a2_row4_col91, #T_457a2_row4_col154, #T_457a2_row4_col385, #T_457a2_row4_col388, #T_457a2_row4_col468, #T_457a2_row4_col811, #T_457a2_row4_col874, #T_457a2_row4_col883, #T_457a2_row4_col975, #T_457a2_row5_col1214, #T_457a2_row6_col46, #T_457a2_row6_col766, #T_457a2_row6_col1277, #T_457a2_row7_col77, #T_457a2_row7_col358, #T_457a2_row7_col1078, #T_457a2_row7_col1110, #T_457a2_row7_col1125, #T_457a2_row8_col1320, #T_457a2_row8_col1405, #T_457a2_row9_col197, #T_457a2_row9_col677, #T_457a2_row11_col841, #T_457a2_row12_col192, #T_457a2_row12_col262, #T_457a2_row12_col393, #T_457a2_row12_col440, #T_457a2_row12_col912, #T_457a2_row12_col982, #T_457a2_row12_col1099, #T_457a2_row12_col1120, #T_457a2_row12_col1255, #T_457a2_row12_col1386, #T_457a2_row13_col126, #T_457a2_row13_col131, #T_457a2_row13_col403, #T_457a2_row13_col436, #T_457a2_row13_col469, #T_457a2_row13_col807, #T_457a2_row13_col851, #T_457a2_row13_col1061, #T_457a2_row13_col1076, #T_457a2_row14_col389, #T_457a2_row14_col1184, #T_457a2_row14_col1360, #T_457a2_row14_col1372, #T_457a2_row15_col496, #T_457a2_row15_col571, #T_457a2_row15_col617, #T_457a2_row15_col626, #T_457a2_row15_col638, #T_457a2_row15_col1294, #T_457a2_row15_col1393, #T_457a2_row16_col1429, #T_457a2_row17_col125, #T_457a2_row17_col845, #T_457a2_row17_col1280, #T_457a2_row17_col1291, #T_457a2_row17_col1355, #T_457a2_row18_col1256, #T_457a2_row18_col1308, #T_457a2_row19_col677, #T_457a2_row19_col1203, #T_457a2_row20_col217, #T_457a2_row20_col455, #T_457a2_row20_col476, #T_457a2_row20_col784, #T_457a2_row20_col937, #T_457a2_row20_col1080, #T_457a2_row20_col1191, #T_457a2_row20_col1325, #T_457a2_row21_col365, #T_457a2_row22_col1325, #T_457a2_row22_col1355, #T_457a2_row23_col513, #T_457a2_row23_col1333 {\n",
       "  background-color: #056ba7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col14, #T_457a2_row0_col348, #T_457a2_row0_col370, #T_457a2_row0_col386, #T_457a2_row0_col410, #T_457a2_row0_col534, #T_457a2_row0_col541, #T_457a2_row0_col734, #T_457a2_row0_col1085, #T_457a2_row0_col1161, #T_457a2_row0_col1359, #T_457a2_row0_col1426, #T_457a2_row1_col6, #T_457a2_row1_col325, #T_457a2_row1_col417, #T_457a2_row1_col564, #T_457a2_row1_col699, #T_457a2_row1_col779, #T_457a2_row1_col1045, #T_457a2_row1_col1168, #T_457a2_row1_col1384, #T_457a2_row2_col269, #T_457a2_row2_col383, #T_457a2_row2_col574, #T_457a2_row2_col989, #T_457a2_row2_col1226, #T_457a2_row2_col1414, #T_457a2_row2_col1435, #T_457a2_row3_col387, #T_457a2_row3_col503, #T_457a2_row3_col652, #T_457a2_row3_col1068, #T_457a2_row3_col1103, #T_457a2_row3_col1133, #T_457a2_row3_col1289, #T_457a2_row3_col1300, #T_457a2_row4_col88, #T_457a2_row4_col161, #T_457a2_row4_col166, #T_457a2_row4_col325, #T_457a2_row4_col337, #T_457a2_row4_col374, #T_457a2_row4_col808, #T_457a2_row4_col881, #T_457a2_row4_col886, #T_457a2_row4_col976, #T_457a2_row4_col1045, #T_457a2_row5_col1139, #T_457a2_row5_col1167, #T_457a2_row5_col1197, #T_457a2_row5_col1304, #T_457a2_row5_col1316, #T_457a2_row5_col1362, #T_457a2_row6_col225, #T_457a2_row6_col348, #T_457a2_row6_col374, #T_457a2_row6_col945, #T_457a2_row6_col1100, #T_457a2_row7_col113, #T_457a2_row7_col420, #T_457a2_row7_col780, #T_457a2_row7_col833, #T_457a2_row7_col905, #T_457a2_row7_col1231, #T_457a2_row8_col1293, #T_457a2_row9_col355, #T_457a2_row9_col450, #T_457a2_row9_col510, #T_457a2_row9_col588, #T_457a2_row9_col1075, #T_457a2_row9_col1237, #T_457a2_row9_col1394, #T_457a2_row9_col1417, #T_457a2_row11_col62, #T_457a2_row11_col88, #T_457a2_row11_col246, #T_457a2_row11_col410, #T_457a2_row11_col782, #T_457a2_row11_col808, #T_457a2_row12_col277, #T_457a2_row12_col350, #T_457a2_row12_col434, #T_457a2_row12_col587, #T_457a2_row12_col655, #T_457a2_row12_col766, #T_457a2_row12_col788, #T_457a2_row12_col997, #T_457a2_row12_col1070, #T_457a2_row12_col1133, #T_457a2_row13_col28, #T_457a2_row13_col114, #T_457a2_row13_col319, #T_457a2_row13_col374, #T_457a2_row13_col512, #T_457a2_row13_col748, #T_457a2_row13_col1039, #T_457a2_row14_col1346, #T_457a2_row15_col347, #T_457a2_row15_col636, #T_457a2_row15_col1087, #T_457a2_row15_col1140, #T_457a2_row16_col1313, #T_457a2_row17_col309, #T_457a2_row17_col342, #T_457a2_row17_col441, #T_457a2_row17_col1029, #T_457a2_row17_col1062, #T_457a2_row17_col1066, #T_457a2_row17_col1129, #T_457a2_row17_col1134, #T_457a2_row17_col1262, #T_457a2_row17_col1263, #T_457a2_row17_col1330, #T_457a2_row17_col1429, #T_457a2_row18_col506, #T_457a2_row18_col681, #T_457a2_row18_col1232, #T_457a2_row18_col1378, #T_457a2_row18_col1387, #T_457a2_row19_col120, #T_457a2_row19_col186, #T_457a2_row19_col708, #T_457a2_row19_col840, #T_457a2_row19_col906, #T_457a2_row19_col1112, #T_457a2_row19_col1129, #T_457a2_row19_col1310, #T_457a2_row20_col47, #T_457a2_row20_col204, #T_457a2_row20_col365, #T_457a2_row20_col373, #T_457a2_row20_col575, #T_457a2_row20_col767, #T_457a2_row20_col924, #T_457a2_row20_col1180, #T_457a2_row20_col1271, #T_457a2_row20_col1319, #T_457a2_row21_col1166, #T_457a2_row21_col1243, #T_457a2_row21_col1387, #T_457a2_row22_col192, #T_457a2_row23_col321, #T_457a2_row23_col1041, #T_457a2_row24_col261, #T_457a2_row24_col635, #T_457a2_row24_col794, #T_457a2_row24_col981 {\n",
       "  background-color: #2383ba;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col15, #T_457a2_row0_col283, #T_457a2_row0_col330, #T_457a2_row0_col371, #T_457a2_row0_col491, #T_457a2_row0_col510, #T_457a2_row0_col562, #T_457a2_row0_col571, #T_457a2_row0_col735, #T_457a2_row0_col792, #T_457a2_row0_col834, #T_457a2_row0_col966, #T_457a2_row0_col1218, #T_457a2_row0_col1221, #T_457a2_row0_col1236, #T_457a2_row0_col1351, #T_457a2_row0_col1439, #T_457a2_row1_col65, #T_457a2_row1_col75, #T_457a2_row1_col134, #T_457a2_row1_col785, #T_457a2_row1_col854, #T_457a2_row1_col1156, #T_457a2_row2_col62, #T_457a2_row2_col94, #T_457a2_row2_col101, #T_457a2_row2_col240, #T_457a2_row2_col814, #T_457a2_row2_col821, #T_457a2_row2_col960, #T_457a2_row2_col1090, #T_457a2_row2_col1122, #T_457a2_row2_col1153, #T_457a2_row2_col1342, #T_457a2_row3_col124, #T_457a2_row3_col149, #T_457a2_row3_col284, #T_457a2_row3_col305, #T_457a2_row3_col466, #T_457a2_row3_col844, #T_457a2_row3_col868, #T_457a2_row3_col1025, #T_457a2_row3_col1177, #T_457a2_row3_col1228, #T_457a2_row3_col1249, #T_457a2_row3_col1399, #T_457a2_row4_col59, #T_457a2_row4_col232, #T_457a2_row4_col357, #T_457a2_row4_col589, #T_457a2_row4_col952, #T_457a2_row4_col1207, #T_457a2_row5_col44, #T_457a2_row5_col95, #T_457a2_row5_col491, #T_457a2_row5_col764, #T_457a2_row5_col1222, #T_457a2_row5_col1328, #T_457a2_row6_col223, #T_457a2_row6_col319, #T_457a2_row6_col381, #T_457a2_row6_col507, #T_457a2_row6_col671, #T_457a2_row6_col849, #T_457a2_row6_col943, #T_457a2_row6_col967, #T_457a2_row6_col1039, #T_457a2_row6_col1376, #T_457a2_row6_col1411, #T_457a2_row7_col66, #T_457a2_row7_col377, #T_457a2_row7_col695, #T_457a2_row7_col786, #T_457a2_row7_col998, #T_457a2_row8_col453, #T_457a2_row8_col631, #T_457a2_row8_col1244, #T_457a2_row9_col260, #T_457a2_row9_col267, #T_457a2_row9_col349, #T_457a2_row9_col578, #T_457a2_row9_col606, #T_457a2_row9_col886, #T_457a2_row9_col980, #T_457a2_row9_col987, #T_457a2_row9_col1424, #T_457a2_row10_col10, #T_457a2_row10_col123, #T_457a2_row10_col160, #T_457a2_row10_col361, #T_457a2_row10_col565, #T_457a2_row10_col730, #T_457a2_row10_col843, #T_457a2_row10_col880, #T_457a2_row10_col1081, #T_457a2_row10_col1319, #T_457a2_row10_col1322, #T_457a2_row10_col1336, #T_457a2_row11_col172, #T_457a2_row11_col352, #T_457a2_row11_col1072, #T_457a2_row12_col87, #T_457a2_row12_col474, #T_457a2_row12_col696, #T_457a2_row12_col700, #T_457a2_row12_col705, #T_457a2_row12_col753, #T_457a2_row12_col807, #T_457a2_row12_col1202, #T_457a2_row12_col1232, #T_457a2_row12_col1279, #T_457a2_row12_col1310, #T_457a2_row13_col283, #T_457a2_row13_col389, #T_457a2_row13_col390, #T_457a2_row13_col612, #T_457a2_row13_col962, #T_457a2_row13_col1223, #T_457a2_row13_col1335, #T_457a2_row13_col1422, #T_457a2_row13_col1427, #T_457a2_row15_col433, #T_457a2_row15_col460, #T_457a2_row16_col1097, #T_457a2_row16_col1100, #T_457a2_row17_col59, #T_457a2_row17_col407, #T_457a2_row17_col1394, #T_457a2_row17_col1427, #T_457a2_row18_col505, #T_457a2_row18_col1122, #T_457a2_row18_col1227, #T_457a2_row18_col1322, #T_457a2_row18_col1419, #T_457a2_row19_col559, #T_457a2_row19_col934, #T_457a2_row19_col1079, #T_457a2_row19_col1204, #T_457a2_row19_col1231, #T_457a2_row19_col1395, #T_457a2_row20_col301, #T_457a2_row20_col578, #T_457a2_row20_col1156, #T_457a2_row20_col1280, #T_457a2_row20_col1307, #T_457a2_row20_col1412, #T_457a2_row21_col68, #T_457a2_row21_col145, #T_457a2_row21_col383, #T_457a2_row21_col568, #T_457a2_row21_col788, #T_457a2_row22_col245, #T_457a2_row22_col418, #T_457a2_row22_col965, #T_457a2_row22_col1153, #T_457a2_row22_col1294, #T_457a2_row23_col342, #T_457a2_row23_col1062, #T_457a2_row23_col1099, #T_457a2_row23_col1125, #T_457a2_row23_col1210, #T_457a2_row23_col1235, #T_457a2_row23_col1366, #T_457a2_row23_col1370, #T_457a2_row24_col7, #T_457a2_row24_col110, #T_457a2_row24_col141, #T_457a2_row24_col727, #T_457a2_row24_col842, #T_457a2_row24_col1428, #T_457a2_row24_col1438 {\n",
       "  background-color: #4897c4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col16, #T_457a2_row0_col736, #T_457a2_row1_col1100, #T_457a2_row2_col1349, #T_457a2_row2_col1436, #T_457a2_row3_col6, #T_457a2_row3_col714, #T_457a2_row3_col1349, #T_457a2_row4_col57, #T_457a2_row4_col777, #T_457a2_row4_col1035, #T_457a2_row7_col115, #T_457a2_row7_col360, #T_457a2_row7_col434, #T_457a2_row7_col650, #T_457a2_row7_col1080, #T_457a2_row7_col1121, #T_457a2_row7_col1204, #T_457a2_row7_col1301, #T_457a2_row8_col1119, #T_457a2_row8_col1347, #T_457a2_row13_col652, #T_457a2_row13_col802, #T_457a2_row15_col17, #T_457a2_row17_col55, #T_457a2_row17_col775, #T_457a2_row17_col1124, #T_457a2_row17_col1253, #T_457a2_row20_col1188, #T_457a2_row23_col491 {\n",
       "  background-color: #023d60;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col17, #T_457a2_row0_col566, #T_457a2_row0_col1008, #T_457a2_row0_col1148, #T_457a2_row1_col29, #T_457a2_row1_col112, #T_457a2_row1_col749, #T_457a2_row2_col122, #T_457a2_row2_col401, #T_457a2_row2_col829, #T_457a2_row2_col1036, #T_457a2_row3_col1124, #T_457a2_row4_col493, #T_457a2_row4_col579, #T_457a2_row4_col1254, #T_457a2_row4_col1270, #T_457a2_row5_col116, #T_457a2_row5_col195, #T_457a2_row5_col216, #T_457a2_row5_col288, #T_457a2_row5_col359, #T_457a2_row5_col537, #T_457a2_row5_col577, #T_457a2_row5_col589, #T_457a2_row5_col638, #T_457a2_row5_col657, #T_457a2_row5_col836, #T_457a2_row5_col1016, #T_457a2_row6_col368, #T_457a2_row6_col426, #T_457a2_row6_col428, #T_457a2_row6_col482, #T_457a2_row6_col1046, #T_457a2_row6_col1117, #T_457a2_row6_col1318, #T_457a2_row7_col1354, #T_457a2_row8_col52, #T_457a2_row8_col55, #T_457a2_row8_col143, #T_457a2_row8_col279, #T_457a2_row8_col286, #T_457a2_row8_col310, #T_457a2_row8_col483, #T_457a2_row8_col489, #T_457a2_row8_col756, #T_457a2_row8_col772, #T_457a2_row8_col775, #T_457a2_row8_col999, #T_457a2_row8_col1030, #T_457a2_row9_col2, #T_457a2_row9_col1090, #T_457a2_row9_col1113, #T_457a2_row10_col84, #T_457a2_row10_col85, #T_457a2_row10_col211, #T_457a2_row10_col264, #T_457a2_row10_col413, #T_457a2_row10_col480, #T_457a2_row10_col575, #T_457a2_row10_col804, #T_457a2_row10_col805, #T_457a2_row10_col984, #T_457a2_row10_col1003, #T_457a2_row11_col394, #T_457a2_row11_col557, #T_457a2_row11_col1349, #T_457a2_row11_col1408, #T_457a2_row11_col1431, #T_457a2_row12_col923, #T_457a2_row13_col524, #T_457a2_row13_col1137, #T_457a2_row14_col98, #T_457a2_row14_col231, #T_457a2_row14_col292, #T_457a2_row14_col493, #T_457a2_row14_col818, #T_457a2_row14_col951, #T_457a2_row14_col1012, #T_457a2_row14_col1031, #T_457a2_row15_col714, #T_457a2_row15_col944, #T_457a2_row16_col80, #T_457a2_row16_col570, #T_457a2_row16_col593, #T_457a2_row16_col612, #T_457a2_row16_col723, #T_457a2_row16_col800, #T_457a2_row16_col1082, #T_457a2_row16_col1435, #T_457a2_row17_col354, #T_457a2_row17_col461, #T_457a2_row17_col495, #T_457a2_row17_col562, #T_457a2_row17_col1074, #T_457a2_row18_col172, #T_457a2_row18_col372, #T_457a2_row18_col892, #T_457a2_row19_col150, #T_457a2_row19_col467, #T_457a2_row19_col870, #T_457a2_row20_col704, #T_457a2_row20_col861, #T_457a2_row21_col722, #T_457a2_row21_col1073, #T_457a2_row21_col1436, #T_457a2_row22_col169, #T_457a2_row22_col240, #T_457a2_row22_col374, #T_457a2_row22_col388, #T_457a2_row22_col506, #T_457a2_row22_col752, #T_457a2_row22_col960, #T_457a2_row22_col1050, #T_457a2_row22_col1283, #T_457a2_row22_col1414, #T_457a2_row23_col591, #T_457a2_row23_col1194, #T_457a2_row24_col112, #T_457a2_row24_col333, #T_457a2_row24_col832, #T_457a2_row24_col879, #T_457a2_row24_col1053, #T_457a2_row24_col1082 {\n",
       "  background-color: #d8d7e9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col20, #T_457a2_row0_col171, #T_457a2_row0_col292, #T_457a2_row0_col740, #T_457a2_row0_col1231, #T_457a2_row0_col1276, #T_457a2_row0_col1325, #T_457a2_row0_col1347, #T_457a2_row1_col205, #T_457a2_row1_col298, #T_457a2_row1_col925, #T_457a2_row1_col1099, #T_457a2_row1_col1104, #T_457a2_row1_col1297, #T_457a2_row2_col60, #T_457a2_row2_col279, #T_457a2_row2_col341, #T_457a2_row2_col399, #T_457a2_row2_col780, #T_457a2_row2_col878, #T_457a2_row2_col1350, #T_457a2_row2_col1385, #T_457a2_row3_col17, #T_457a2_row3_col67, #T_457a2_row3_col144, #T_457a2_row3_col177, #T_457a2_row3_col449, #T_457a2_row3_col491, #T_457a2_row3_col662, #T_457a2_row3_col787, #T_457a2_row3_col825, #T_457a2_row3_col864, #T_457a2_row3_col1199, #T_457a2_row4_col70, #T_457a2_row4_col147, #T_457a2_row4_col208, #T_457a2_row4_col715, #T_457a2_row4_col790, #T_457a2_row4_col867, #T_457a2_row4_col928, #T_457a2_row4_col1266, #T_457a2_row4_col1381, #T_457a2_row4_col1420, #T_457a2_row5_col715, #T_457a2_row5_col1086, #T_457a2_row5_col1098, #T_457a2_row5_col1109, #T_457a2_row5_col1212, #T_457a2_row5_col1218, #T_457a2_row5_col1239, #T_457a2_row7_col190, #T_457a2_row7_col229, #T_457a2_row7_col849, #T_457a2_row7_col856, #T_457a2_row7_col910, #T_457a2_row7_col949, #T_457a2_row7_col1031, #T_457a2_row7_col1101, #T_457a2_row7_col1160, #T_457a2_row7_col1179, #T_457a2_row7_col1233, #T_457a2_row7_col1305, #T_457a2_row7_col1425, #T_457a2_row8_col1174, #T_457a2_row8_col1203, #T_457a2_row9_col119, #T_457a2_row9_col184, #T_457a2_row9_col311, #T_457a2_row9_col428, #T_457a2_row9_col453, #T_457a2_row9_col904, #T_457a2_row9_col1031, #T_457a2_row9_col1301, #T_457a2_row9_col1325, #T_457a2_row9_col1360, #T_457a2_row10_col674, #T_457a2_row11_col196, #T_457a2_row11_col348, #T_457a2_row11_col916, #T_457a2_row12_col509, #T_457a2_row12_col564, #T_457a2_row12_col580, #T_457a2_row12_col1141, #T_457a2_row12_col1142, #T_457a2_row12_col1165, #T_457a2_row12_col1230, #T_457a2_row12_col1331, #T_457a2_row13_col216, #T_457a2_row13_col262, #T_457a2_row13_col333, #T_457a2_row13_col501, #T_457a2_row13_col504, #T_457a2_row13_col550, #T_457a2_row13_col593, #T_457a2_row13_col918, #T_457a2_row13_col936, #T_457a2_row13_col982, #T_457a2_row13_col1053, #T_457a2_row13_col1101, #T_457a2_row14_col1242, #T_457a2_row14_col1344, #T_457a2_row15_col16, #T_457a2_row15_col87, #T_457a2_row15_col313, #T_457a2_row15_col494, #T_457a2_row15_col520, #T_457a2_row15_col736, #T_457a2_row15_col807, #T_457a2_row15_col1033, #T_457a2_row15_col1090, #T_457a2_row15_col1297, #T_457a2_row15_col1426, #T_457a2_row16_col544, #T_457a2_row17_col94, #T_457a2_row17_col171, #T_457a2_row17_col307, #T_457a2_row17_col446, #T_457a2_row17_col603, #T_457a2_row17_col644, #T_457a2_row17_col814, #T_457a2_row17_col1027, #T_457a2_row17_col1127, #T_457a2_row17_col1143, #T_457a2_row17_col1146, #T_457a2_row17_col1242, #T_457a2_row18_col21, #T_457a2_row18_col118, #T_457a2_row18_col741, #T_457a2_row18_col1379, #T_457a2_row19_col135, #T_457a2_row19_col142, #T_457a2_row19_col271, #T_457a2_row19_col311, #T_457a2_row19_col683, #T_457a2_row19_col696, #T_457a2_row19_col855, #T_457a2_row19_col1031, #T_457a2_row19_col1123, #T_457a2_row19_col1137, #T_457a2_row19_col1390, #T_457a2_row20_col1304, #T_457a2_row21_col250, #T_457a2_row21_col340, #T_457a2_row21_col970, #T_457a2_row21_col1060, #T_457a2_row21_col1295, #T_457a2_row22_col399, #T_457a2_row22_col564, #T_457a2_row22_col1107, #T_457a2_row22_col1183, #T_457a2_row22_col1196, #T_457a2_row23_col218, #T_457a2_row23_col938, #T_457a2_row23_col1055, #T_457a2_row23_col1107, #T_457a2_row23_col1441, #T_457a2_row24_col302, #T_457a2_row24_col1022 {\n",
       "  background-color: #0c74b2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col21, #T_457a2_row0_col297, #T_457a2_row0_col365, #T_457a2_row0_col549, #T_457a2_row0_col741, #T_457a2_row0_col847, #T_457a2_row1_col22, #T_457a2_row1_col214, #T_457a2_row1_col393, #T_457a2_row1_col922, #T_457a2_row1_col934, #T_457a2_row1_col1169, #T_457a2_row1_col1237, #T_457a2_row1_col1406, #T_457a2_row1_col1426, #T_457a2_row2_col214, #T_457a2_row2_col379, #T_457a2_row2_col934, #T_457a2_row2_col1288, #T_457a2_row2_col1301, #T_457a2_row3_col465, #T_457a2_row3_col467, #T_457a2_row3_col505, #T_457a2_row3_col579, #T_457a2_row3_col614, #T_457a2_row3_col895, #T_457a2_row4_col196, #T_457a2_row4_col561, #T_457a2_row4_col916, #T_457a2_row5_col336, #T_457a2_row5_col747, #T_457a2_row5_col1056, #T_457a2_row5_col1386, #T_457a2_row6_col485, #T_457a2_row6_col1043, #T_457a2_row7_col91, #T_457a2_row7_col247, #T_457a2_row7_col421, #T_457a2_row7_col811, #T_457a2_row7_col866, #T_457a2_row7_col967, #T_457a2_row7_col1190, #T_457a2_row7_col1222, #T_457a2_row7_col1266, #T_457a2_row7_col1309, #T_457a2_row8_col1331, #T_457a2_row9_col110, #T_457a2_row9_col454, #T_457a2_row9_col830, #T_457a2_row9_col902, #T_457a2_row9_col1037, #T_457a2_row9_col1252, #T_457a2_row9_col1281, #T_457a2_row11_col78, #T_457a2_row11_col175, #T_457a2_row11_col237, #T_457a2_row11_col535, #T_457a2_row11_col895, #T_457a2_row11_col957, #T_457a2_row12_col104, #T_457a2_row12_col510, #T_457a2_row12_col824, #T_457a2_row13_col100, #T_457a2_row13_col249, #T_457a2_row13_col460, #T_457a2_row13_col721, #T_457a2_row13_col820, #T_457a2_row13_col965, #T_457a2_row13_col969, #T_457a2_row13_col1187, #T_457a2_row13_col1309, #T_457a2_row13_col1394, #T_457a2_row14_col1203, #T_457a2_row14_col1270, #T_457a2_row14_col1353, #T_457a2_row15_col102, #T_457a2_row15_col230, #T_457a2_row15_col404, #T_457a2_row15_col407, #T_457a2_row15_col421, #T_457a2_row15_col534, #T_457a2_row15_col779, #T_457a2_row15_col822, #T_457a2_row15_col950, #T_457a2_row15_col1071, #T_457a2_row15_col1123, #T_457a2_row16_col360, #T_457a2_row16_col1080, #T_457a2_row16_col1189, #T_457a2_row16_col1277, #T_457a2_row16_col1424, #T_457a2_row17_col640, #T_457a2_row17_col1375, #T_457a2_row18_col507, #T_457a2_row18_col1102, #T_457a2_row19_col1402, #T_457a2_row20_col268, #T_457a2_row20_col296, #T_457a2_row20_col356, #T_457a2_row20_col719, #T_457a2_row20_col988, #T_457a2_row20_col1076, #T_457a2_row20_col1094, #T_457a2_row21_col268, #T_457a2_row21_col988, #T_457a2_row21_col1302, #T_457a2_row22_col1105, #T_457a2_row23_col1371, #T_457a2_row24_col489, #T_457a2_row24_col1277 {\n",
       "  background-color: #056ead;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col22, #T_457a2_row0_col98, #T_457a2_row0_col122, #T_457a2_row0_col190, #T_457a2_row0_col363, #T_457a2_row0_col402, #T_457a2_row0_col501, #T_457a2_row0_col842, #T_457a2_row0_col910, #T_457a2_row0_col1045, #T_457a2_row0_col1184, #T_457a2_row0_col1200, #T_457a2_row0_col1379, #T_457a2_row2_col216, #T_457a2_row2_col374, #T_457a2_row2_col1141, #T_457a2_row3_col496, #T_457a2_row3_col546, #T_457a2_row4_col188, #T_457a2_row4_col908, #T_457a2_row5_col129, #T_457a2_row5_col1409, #T_457a2_row5_col1421, #T_457a2_row7_col138, #T_457a2_row7_col328, #T_457a2_row7_col711, #T_457a2_row7_col838, #T_457a2_row7_col858, #T_457a2_row7_col1048, #T_457a2_row8_col1241, #T_457a2_row9_col272, #T_457a2_row9_col321, #T_457a2_row9_col992, #T_457a2_row9_col1041, #T_457a2_row9_col1277, #T_457a2_row11_col291, #T_457a2_row11_col1011, #T_457a2_row12_col51, #T_457a2_row12_col175, #T_457a2_row12_col771, #T_457a2_row12_col895, #T_457a2_row12_col1319, #T_457a2_row12_col1371, #T_457a2_row13_col20, #T_457a2_row13_col350, #T_457a2_row13_col740, #T_457a2_row13_col1047, #T_457a2_row13_col1070, #T_457a2_row13_col1214, #T_457a2_row14_col1091, #T_457a2_row14_col1100, #T_457a2_row14_col1113, #T_457a2_row14_col1188, #T_457a2_row14_col1421, #T_457a2_row15_col222, #T_457a2_row15_col1089, #T_457a2_row15_col1105, #T_457a2_row15_col1106, #T_457a2_row15_col1178, #T_457a2_row15_col1233, #T_457a2_row15_col1354, #T_457a2_row16_col192, #T_457a2_row16_col912, #T_457a2_row17_col39, #T_457a2_row17_col609, #T_457a2_row18_col1225, #T_457a2_row18_col1295, #T_457a2_row18_col1349, #T_457a2_row19_col80, #T_457a2_row19_col800, #T_457a2_row19_col1086, #T_457a2_row20_col240, #T_457a2_row20_col870, #T_457a2_row20_col1017, #T_457a2_row20_col1097, #T_457a2_row21_col1092, #T_457a2_row21_col1127, #T_457a2_row22_col1247, #T_457a2_row23_col1429, #T_457a2_row24_col924, #T_457a2_row24_col1387 {\n",
       "  background-color: #0567a1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col23, #T_457a2_row0_col207, #T_457a2_row0_col238, #T_457a2_row0_col401, #T_457a2_row0_col469, #T_457a2_row0_col520, #T_457a2_row0_col529, #T_457a2_row0_col664, #T_457a2_row0_col927, #T_457a2_row0_col958, #T_457a2_row0_col1129, #T_457a2_row0_col1158, #T_457a2_row1_col51, #T_457a2_row1_col487, #T_457a2_row1_col734, #T_457a2_row1_col1324, #T_457a2_row1_col1428, #T_457a2_row2_col51, #T_457a2_row2_col56, #T_457a2_row2_col104, #T_457a2_row2_col194, #T_457a2_row2_col281, #T_457a2_row2_col485, #T_457a2_row2_col614, #T_457a2_row2_col771, #T_457a2_row2_col776, #T_457a2_row2_col824, #T_457a2_row2_col914, #T_457a2_row2_col1001, #T_457a2_row2_col1108, #T_457a2_row2_col1267, #T_457a2_row3_col344, #T_457a2_row3_col1064, #T_457a2_row4_col362, #T_457a2_row4_col422, #T_457a2_row4_col532, #T_457a2_row4_col760, #T_457a2_row4_col1148, #T_457a2_row4_col1150, #T_457a2_row4_col1208, #T_457a2_row4_col1267, #T_457a2_row5_col104, #T_457a2_row5_col292, #T_457a2_row5_col342, #T_457a2_row5_col366, #T_457a2_row5_col787, #T_457a2_row5_col824, #T_457a2_row5_col964, #T_457a2_row5_col1169, #T_457a2_row5_col1363, #T_457a2_row6_col7, #T_457a2_row6_col340, #T_457a2_row6_col362, #T_457a2_row6_col541, #T_457a2_row6_col689, #T_457a2_row6_col718, #T_457a2_row6_col727, #T_457a2_row6_col778, #T_457a2_row6_col1082, #T_457a2_row6_col1341, #T_457a2_row7_col382, #T_457a2_row7_col395, #T_457a2_row8_col38, #T_457a2_row8_col138, #T_457a2_row8_col251, #T_457a2_row8_col400, #T_457a2_row8_col858, #T_457a2_row8_col1204, #T_457a2_row9_col372, #T_457a2_row9_col544, #T_457a2_row9_col734, #T_457a2_row9_col1016, #T_457a2_row9_col1089, #T_457a2_row9_col1125, #T_457a2_row9_col1160, #T_457a2_row9_col1168, #T_457a2_row9_col1203, #T_457a2_row9_col1214, #T_457a2_row9_col1298, #T_457a2_row9_col1336, #T_457a2_row10_col48, #T_457a2_row10_col141, #T_457a2_row10_col298, #T_457a2_row10_col362, #T_457a2_row10_col455, #T_457a2_row10_col630, #T_457a2_row10_col768, #T_457a2_row10_col1018, #T_457a2_row10_col1062, #T_457a2_row10_col1067, #T_457a2_row10_col1198, #T_457a2_row10_col1408, #T_457a2_row10_col1423, #T_457a2_row11_col150, #T_457a2_row11_col154, #T_457a2_row11_col240, #T_457a2_row11_col448, #T_457a2_row11_col638, #T_457a2_row11_col870, #T_457a2_row11_col874, #T_457a2_row11_col960, #T_457a2_row11_col1189, #T_457a2_row11_col1382, #T_457a2_row12_col313, #T_457a2_row12_col634, #T_457a2_row12_col636, #T_457a2_row12_col1010, #T_457a2_row12_col1033, #T_457a2_row12_col1096, #T_457a2_row12_col1431, #T_457a2_row13_col162, #T_457a2_row13_col203, #T_457a2_row13_col463, #T_457a2_row13_col882, #T_457a2_row13_col923, #T_457a2_row13_col1116, #T_457a2_row13_col1123, #T_457a2_row13_col1146, #T_457a2_row13_col1148, #T_457a2_row13_col1413, #T_457a2_row14_col924, #T_457a2_row14_col1128, #T_457a2_row14_col1429, #T_457a2_row15_col135, #T_457a2_row15_col855, #T_457a2_row16_col370, #T_457a2_row16_col706, #T_457a2_row16_col1096, #T_457a2_row16_col1155, #T_457a2_row17_col29, #T_457a2_row17_col35, #T_457a2_row17_col84, #T_457a2_row17_col295, #T_457a2_row17_col430, #T_457a2_row17_col749, #T_457a2_row17_col755, #T_457a2_row17_col804, #T_457a2_row17_col1015, #T_457a2_row17_col1373, #T_457a2_row18_col54, #T_457a2_row18_col125, #T_457a2_row18_col299, #T_457a2_row18_col617, #T_457a2_row18_col671, #T_457a2_row18_col672, #T_457a2_row18_col712, #T_457a2_row18_col774, #T_457a2_row18_col845, #T_457a2_row18_col1019, #T_457a2_row18_col1020, #T_457a2_row18_col1055, #T_457a2_row18_col1056, #T_457a2_row19_col44, #T_457a2_row19_col81, #T_457a2_row19_col147, #T_457a2_row19_col235, #T_457a2_row19_col251, #T_457a2_row19_col269, #T_457a2_row19_col426, #T_457a2_row19_col626, #T_457a2_row19_col648, #T_457a2_row19_col707, #T_457a2_row19_col764, #T_457a2_row19_col801, #T_457a2_row19_col867, #T_457a2_row19_col955, #T_457a2_row19_col971, #T_457a2_row19_col989, #T_457a2_row19_col1001, #T_457a2_row19_col1056, #T_457a2_row19_col1260, #T_457a2_row19_col1341, #T_457a2_row20_col8, #T_457a2_row20_col186, #T_457a2_row20_col208, #T_457a2_row20_col441, #T_457a2_row20_col535, #T_457a2_row20_col585, #T_457a2_row20_col669, #T_457a2_row20_col691, #T_457a2_row20_col829, #T_457a2_row20_col906, #T_457a2_row20_col928, #T_457a2_row20_col1151, #T_457a2_row20_col1421, #T_457a2_row21_col232, #T_457a2_row21_col254, #T_457a2_row21_col606, #T_457a2_row21_col952, #T_457a2_row21_col974, #T_457a2_row21_col993, #T_457a2_row21_col1194, #T_457a2_row22_col82, #T_457a2_row22_col133, #T_457a2_row22_col421, #T_457a2_row22_col536, #T_457a2_row22_col853, #T_457a2_row22_col1083, #T_457a2_row23_col63, #T_457a2_row23_col101, #T_457a2_row23_col288, #T_457a2_row23_col356, #T_457a2_row23_col548, #T_457a2_row23_col783, #T_457a2_row23_col821, #T_457a2_row23_col1008, #T_457a2_row23_col1038, #T_457a2_row23_col1384, #T_457a2_row24_col430, #T_457a2_row24_col873, #T_457a2_row24_col1273 {\n",
       "  background-color: #97b7d7;\n",
       "  color: #000000;\n",
       "}\n",
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       "  background-color: #99b8d8;\n",
       "  color: #000000;\n",
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       "  background-color: #a1bbda;\n",
       "  color: #000000;\n",
       "}\n",
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       "  background-color: #0872b1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col27, #T_457a2_row0_col1205, #T_457a2_row0_col1213, #T_457a2_row0_col1414, #T_457a2_row1_col5, #T_457a2_row1_col20, #T_457a2_row1_col234, #T_457a2_row1_col595, #T_457a2_row1_col725, #T_457a2_row1_col740, #T_457a2_row1_col802, #T_457a2_row1_col1124, #T_457a2_row2_col81, #T_457a2_row2_col337, #T_457a2_row2_col385, #T_457a2_row2_col511, #T_457a2_row2_col551, #T_457a2_row2_col632, #T_457a2_row2_col706, #T_457a2_row2_col801, #T_457a2_row2_col1182, #T_457a2_row2_col1222, #T_457a2_row3_col95, #T_457a2_row3_col222, #T_457a2_row3_col468, #T_457a2_row3_col533, #T_457a2_row3_col815, #T_457a2_row3_col905, #T_457a2_row3_col942, #T_457a2_row3_col1109, #T_457a2_row3_col1153, #T_457a2_row4_col83, #T_457a2_row4_col290, #T_457a2_row4_col537, #T_457a2_row4_col658, #T_457a2_row4_col751, #T_457a2_row4_col803, #T_457a2_row4_col1010, #T_457a2_row4_col1391, #T_457a2_row5_col6, #T_457a2_row5_col64, #T_457a2_row5_col275, #T_457a2_row5_col496, #T_457a2_row5_col512, #T_457a2_row5_col726, #T_457a2_row5_col784, #T_457a2_row5_col995, #T_457a2_row5_col1102, #T_457a2_row5_col1273, #T_457a2_row5_col1374, #T_457a2_row5_col1402, #T_457a2_row5_col1406, #T_457a2_row6_col609, #T_457a2_row6_col721, #T_457a2_row6_col1073, #T_457a2_row7_col124, #T_457a2_row7_col373, #T_457a2_row7_col399, #T_457a2_row7_col844, #T_457a2_row7_col1168, #T_457a2_row8_col105, #T_457a2_row8_col1233, #T_457a2_row8_col1234, #T_457a2_row9_col275, #T_457a2_row9_col413, #T_457a2_row9_col995, #T_457a2_row10_col528, #T_457a2_row10_col1123, #T_457a2_row11_col27, #T_457a2_row11_col96, #T_457a2_row11_col186, #T_457a2_row11_col325, #T_457a2_row11_col533, #T_457a2_row11_col747, #T_457a2_row11_col816, #T_457a2_row11_col906, #T_457a2_row11_col1045, #T_457a2_row11_col1099, #T_457a2_row11_col1229, #T_457a2_row12_col383, #T_457a2_row12_col1076, #T_457a2_row12_col1151, #T_457a2_row12_col1227, #T_457a2_row12_col1355, #T_457a2_row12_col1378, #T_457a2_row13_col133, #T_457a2_row13_col155, #T_457a2_row13_col260, #T_457a2_row13_col582, #T_457a2_row13_col615, #T_457a2_row13_col631, #T_457a2_row13_col637, #T_457a2_row13_col980, #T_457a2_row13_col1425, #T_457a2_row14_col374, #T_457a2_row14_col623, #T_457a2_row14_col1241, #T_457a2_row14_col1312, #T_457a2_row14_col1387, #T_457a2_row15_col256, #T_457a2_row15_col336, #T_457a2_row15_col416, #T_457a2_row15_col976, #T_457a2_row15_col1056, #T_457a2_row15_col1396, #T_457a2_row16_col1379, #T_457a2_row17_col389, #T_457a2_row17_col419, #T_457a2_row17_col673, #T_457a2_row17_col715, #T_457a2_row17_col1046, #T_457a2_row18_col55, #T_457a2_row18_col232, #T_457a2_row18_col291, #T_457a2_row18_col775, #T_457a2_row18_col1011, #T_457a2_row19_col637, #T_457a2_row19_col1110, #T_457a2_row19_col1122, #T_457a2_row19_col1304, #T_457a2_row20_col11, #T_457a2_row20_col69, #T_457a2_row20_col261, #T_457a2_row20_col634, #T_457a2_row20_col720, #T_457a2_row20_col731, #T_457a2_row20_col981, #T_457a2_row20_col1189, #T_457a2_row20_col1315, #T_457a2_row20_col1385, #T_457a2_row21_col433, #T_457a2_row21_col925, #T_457a2_row21_col1156, #T_457a2_row22_col500, #T_457a2_row22_col515, #T_457a2_row22_col661, #T_457a2_row22_col1157, #T_457a2_row22_col1180, #T_457a2_row22_col1245, #T_457a2_row22_col1357, #T_457a2_row22_col1390, #T_457a2_row23_col424, #T_457a2_row23_col433, #T_457a2_row23_col500, #T_457a2_row23_col1226, #T_457a2_row23_col1439, #T_457a2_row24_col249, #T_457a2_row24_col1395 {\n",
       "  background-color: #308cbe;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col28, #T_457a2_row0_col249, #T_457a2_row0_col573, #T_457a2_row0_col748, #T_457a2_row0_col1156, #T_457a2_row0_col1434, #T_457a2_row1_col33, #T_457a2_row1_col78, #T_457a2_row1_col198, #T_457a2_row1_col431, #T_457a2_row1_col559, #T_457a2_row1_col569, #T_457a2_row1_col585, #T_457a2_row1_col589, #T_457a2_row1_col611, #T_457a2_row1_col703, #T_457a2_row1_col798, #T_457a2_row1_col880, #T_457a2_row1_col918, #T_457a2_row1_col1354, #T_457a2_row2_col251, #T_457a2_row2_col520, #T_457a2_row2_col602, #T_457a2_row2_col971, #T_457a2_row2_col1143, #T_457a2_row2_col1287, #T_457a2_row2_col1292, #T_457a2_row2_col1297, #T_457a2_row2_col1305, #T_457a2_row3_col16, #T_457a2_row3_col51, #T_457a2_row3_col91, #T_457a2_row3_col196, #T_457a2_row3_col221, #T_457a2_row3_col412, #T_457a2_row3_col565, #T_457a2_row3_col699, #T_457a2_row3_col736, #T_457a2_row3_col771, #T_457a2_row3_col811, #T_457a2_row3_col916, #T_457a2_row4_col135, #T_457a2_row4_col334, #T_457a2_row4_col531, #T_457a2_row4_col713, #T_457a2_row4_col855, #T_457a2_row4_col1054, #T_457a2_row4_col1117, #T_457a2_row4_col1141, #T_457a2_row5_col143, #T_457a2_row5_col223, #T_457a2_row5_col365, #T_457a2_row5_col703, #T_457a2_row5_col863, #T_457a2_row5_col943, #T_457a2_row6_col17, #T_457a2_row6_col75, #T_457a2_row6_col135, #T_457a2_row6_col240, #T_457a2_row6_col255, #T_457a2_row6_col273, #T_457a2_row6_col342, #T_457a2_row6_col674, #T_457a2_row6_col737, #T_457a2_row6_col795, #T_457a2_row6_col855, #T_457a2_row6_col954, #T_457a2_row6_col975, #T_457a2_row6_col993, #T_457a2_row6_col1062, #T_457a2_row6_col1164, #T_457a2_row7_col460, #T_457a2_row7_col1265, #T_457a2_row7_col1352, #T_457a2_row7_col1356, #T_457a2_row7_col1414, #T_457a2_row8_col590, #T_457a2_row8_col1121, #T_457a2_row9_col371, #T_457a2_row9_col623, #T_457a2_row9_col634, #T_457a2_row9_col706, #T_457a2_row9_col1027, #T_457a2_row10_col16, #T_457a2_row10_col133, #T_457a2_row10_col162, #T_457a2_row10_col687, #T_457a2_row10_col690, #T_457a2_row10_col882, #T_457a2_row10_col1230, #T_457a2_row10_col1370, #T_457a2_row10_col1413, #T_457a2_row11_col985, #T_457a2_row11_col1385, #T_457a2_row12_col152, #T_457a2_row12_col505, #T_457a2_row12_col530, #T_457a2_row12_col534, #T_457a2_row12_col604, #T_457a2_row12_col649, #T_457a2_row12_col710, #T_457a2_row12_col872, #T_457a2_row12_col1149, #T_457a2_row12_col1294, #T_457a2_row13_col543, #T_457a2_row13_col685, #T_457a2_row13_col1127, #T_457a2_row13_col1337, #T_457a2_row13_col1353, #T_457a2_row14_col356, #T_457a2_row14_col558, #T_457a2_row14_col665, #T_457a2_row14_col1076, #T_457a2_row15_col174, #T_457a2_row15_col208, #T_457a2_row15_col272, #T_457a2_row15_col377, #T_457a2_row15_col574, #T_457a2_row15_col712, #T_457a2_row15_col928, #T_457a2_row16_col558, #T_457a2_row16_col743, #T_457a2_row16_col1283, #T_457a2_row17_col187, #T_457a2_row17_col505, #T_457a2_row17_col606, #T_457a2_row17_col643, #T_457a2_row17_col717, #T_457a2_row17_col721, #T_457a2_row17_col907, #T_457a2_row18_col120, #T_457a2_row18_col314, #T_457a2_row18_col357, #T_457a2_row18_col486, #T_457a2_row18_col840, #T_457a2_row18_col1034, #T_457a2_row18_col1077, #T_457a2_row18_col1224, #T_457a2_row18_col1302, #T_457a2_row18_col1414, #T_457a2_row19_col52, #T_457a2_row19_col291, #T_457a2_row19_col722, #T_457a2_row19_col772, #T_457a2_row19_col1412, #T_457a2_row19_col1427, #T_457a2_row20_col175, #T_457a2_row20_col187, #T_457a2_row20_col397, #T_457a2_row20_col526, #T_457a2_row20_col685, #T_457a2_row20_col907, #T_457a2_row20_col1384, #T_457a2_row21_col487, #T_457a2_row21_col662, #T_457a2_row21_col1202, #T_457a2_row21_col1207, #T_457a2_row22_col67, #T_457a2_row22_col215, #T_457a2_row22_col636, #T_457a2_row22_col708, #T_457a2_row22_col787, #T_457a2_row22_col935, #T_457a2_row23_col44, #T_457a2_row23_col764, #T_457a2_row23_col1134, #T_457a2_row23_col1388, #T_457a2_row24_col228, #T_457a2_row24_col347, #T_457a2_row24_col948, #T_457a2_row24_col1108 {\n",
       "  background-color: #73a9cf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col29, #T_457a2_row0_col60, #T_457a2_row0_col479, #T_457a2_row0_col647, #T_457a2_row0_col1397, #T_457a2_row1_col71, #T_457a2_row1_col287, #T_457a2_row1_col309, #T_457a2_row1_col459, #T_457a2_row1_col469, #T_457a2_row1_col791, #T_457a2_row2_col137, #T_457a2_row2_col326, #T_457a2_row2_col334, #T_457a2_row2_col400, #T_457a2_row2_col498, #T_457a2_row2_col569, #T_457a2_row2_col857, #T_457a2_row2_col1046, #T_457a2_row2_col1054, #T_457a2_row2_col1101, #T_457a2_row2_col1253, #T_457a2_row3_col493, #T_457a2_row3_col722, #T_457a2_row3_col883, #T_457a2_row3_col1258, #T_457a2_row4_col128, #T_457a2_row4_col456, #T_457a2_row4_col540, #T_457a2_row4_col977, #T_457a2_row4_col1074, #T_457a2_row4_col1186, #T_457a2_row4_col1243, #T_457a2_row4_col1402, #T_457a2_row4_col1414, #T_457a2_row5_col21, #T_457a2_row5_col252, #T_457a2_row5_col349, #T_457a2_row5_col697, #T_457a2_row5_col741, #T_457a2_row5_col829, #T_457a2_row5_col972, #T_457a2_row5_col1069, #T_457a2_row5_col1215, #T_457a2_row5_col1234, #T_457a2_row6_col116, #T_457a2_row6_col124, #T_457a2_row6_col536, #T_457a2_row6_col720, #T_457a2_row6_col779, #T_457a2_row6_col844, #T_457a2_row6_col1122, #T_457a2_row7_col338, #T_457a2_row7_col444, #T_457a2_row7_col1058, #T_457a2_row8_col276, #T_457a2_row8_col665, #T_457a2_row8_col996, #T_457a2_row8_col1368, #T_457a2_row9_col44, #T_457a2_row9_col305, #T_457a2_row9_col664, #T_457a2_row9_col1025, #T_457a2_row9_col1202, #T_457a2_row10_col46, #T_457a2_row10_col251, #T_457a2_row10_col289, #T_457a2_row10_col334, #T_457a2_row10_col450, #T_457a2_row10_col551, #T_457a2_row10_col659, #T_457a2_row10_col780, #T_457a2_row10_col971, #T_457a2_row10_col1054, #T_457a2_row10_col1133, #T_457a2_row10_col1181, #T_457a2_row10_col1216, #T_457a2_row10_col1358, #T_457a2_row10_col1381, #T_457a2_row11_col297, #T_457a2_row11_col340, #T_457a2_row11_col498, #T_457a2_row11_col522, #T_457a2_row11_col695, #T_457a2_row11_col1060, #T_457a2_row12_col44, #T_457a2_row12_col368, #T_457a2_row12_col599, #T_457a2_row12_col632, #T_457a2_row12_col764, #T_457a2_row12_col1264, #T_457a2_row12_col1286, #T_457a2_row12_col1413, #T_457a2_row13_col164, #T_457a2_row13_col447, #T_457a2_row13_col456, #T_457a2_row13_col884, #T_457a2_row13_col1024, #T_457a2_row13_col1100, #T_457a2_row13_col1154, #T_457a2_row13_col1197, #T_457a2_row13_col1286, #T_457a2_row13_col1321, #T_457a2_row13_col1360, #T_457a2_row14_col578, #T_457a2_row14_col746, #T_457a2_row14_col883, #T_457a2_row15_col305, #T_457a2_row15_col637, #T_457a2_row15_col1185, #T_457a2_row16_col106, #T_457a2_row16_col214, #T_457a2_row16_col752, #T_457a2_row16_col826, #T_457a2_row16_col934, #T_457a2_row16_col1177, #T_457a2_row17_col22, #T_457a2_row17_col237, #T_457a2_row17_col404, #T_457a2_row17_col577, #T_457a2_row17_col616, #T_457a2_row17_col651, #T_457a2_row17_col742, #T_457a2_row17_col957, #T_457a2_row17_col1208, #T_457a2_row18_col39, #T_457a2_row18_col154, #T_457a2_row18_col326, #T_457a2_row18_col645, #T_457a2_row18_col1046, #T_457a2_row19_col558, #T_457a2_row19_col605, #T_457a2_row19_col703, #T_457a2_row19_col711, #T_457a2_row19_col781, #T_457a2_row19_col1152, #T_457a2_row20_col124, #T_457a2_row20_col157, #T_457a2_row20_col184, #T_457a2_row20_col368, #T_457a2_row20_col472, #T_457a2_row20_col513, #T_457a2_row20_col524, #T_457a2_row20_col583, #T_457a2_row20_col681, #T_457a2_row20_col706, #T_457a2_row20_col877, #T_457a2_row20_col904, #T_457a2_row20_col1113, #T_457a2_row20_col1155, #T_457a2_row21_col412, #T_457a2_row21_col431, #T_457a2_row21_col524, #T_457a2_row21_col1180, #T_457a2_row21_col1304, #T_457a2_row22_col126, #T_457a2_row22_col314, #T_457a2_row22_col846, #T_457a2_row22_col1034, #T_457a2_row22_col1174, #T_457a2_row22_col1186, #T_457a2_row22_col1356, #T_457a2_row22_col1360, #T_457a2_row22_col1403, #T_457a2_row23_col95, #T_457a2_row23_col496, #T_457a2_row23_col541, #T_457a2_row23_col1402, #T_457a2_row24_col246, #T_457a2_row24_col318, #T_457a2_row24_col609, #T_457a2_row24_col758, #T_457a2_row24_col966, #T_457a2_row24_col1038, #T_457a2_row24_col1260, #T_457a2_row24_col1303 {\n",
       "  background-color: #8cb3d5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col30, #T_457a2_row0_col393, #T_457a2_row0_col440, #T_457a2_row0_col548, #T_457a2_row0_col666, #T_457a2_row0_col716, #T_457a2_row0_col750, #T_457a2_row0_col1180, #T_457a2_row0_col1392, #T_457a2_row1_col81, #T_457a2_row1_col93, #T_457a2_row1_col186, #T_457a2_row1_col801, #T_457a2_row1_col906, #T_457a2_row2_col1163, #T_457a2_row2_col1413, #T_457a2_row3_col327, #T_457a2_row3_col350, #T_457a2_row3_col397, #T_457a2_row3_col564, #T_457a2_row3_col1047, #T_457a2_row3_col1070, #T_457a2_row3_col1224, #T_457a2_row3_col1435, #T_457a2_row4_col68, #T_457a2_row4_col277, #T_457a2_row4_col327, #T_457a2_row4_col360, #T_457a2_row4_col515, #T_457a2_row4_col788, #T_457a2_row4_col997, #T_457a2_row4_col1080, #T_457a2_row5_col1116, #T_457a2_row5_col1262, #T_457a2_row6_col327, #T_457a2_row6_col357, #T_457a2_row6_col1077, #T_457a2_row7_col351, #T_457a2_row7_col549, #T_457a2_row7_col654, #T_457a2_row7_col676, #T_457a2_row7_col1153, #T_457a2_row7_col1408, #T_457a2_row7_col1419, #T_457a2_row8_col1120, #T_457a2_row8_col1134, #T_457a2_row8_col1152, #T_457a2_row8_col1179, #T_457a2_row9_col171, #T_457a2_row9_col479, #T_457a2_row9_col485, #T_457a2_row9_col823, #T_457a2_row9_col831, #T_457a2_row9_col1149, #T_457a2_row10_col140, #T_457a2_row10_col860, #T_457a2_row10_col902, #T_457a2_row11_col486, #T_457a2_row12_col359, #T_457a2_row12_col381, #T_457a2_row12_col420, #T_457a2_row12_col1116, #T_457a2_row12_col1396, #T_457a2_row13_col16, #T_457a2_row13_col26, #T_457a2_row13_col149, #T_457a2_row13_col248, #T_457a2_row13_col255, #T_457a2_row13_col307, #T_457a2_row13_col368, #T_457a2_row13_col371, #T_457a2_row13_col506, #T_457a2_row13_col734, #T_457a2_row13_col736, #T_457a2_row13_col846, #T_457a2_row13_col869, #T_457a2_row13_col968, #T_457a2_row13_col975, #T_457a2_row13_col1232, #T_457a2_row14_col438, #T_457a2_row15_col19, #T_457a2_row15_col80, #T_457a2_row15_col139, #T_457a2_row15_col140, #T_457a2_row15_col171, #T_457a2_row15_col414, #T_457a2_row15_col429, #T_457a2_row15_col446, #T_457a2_row15_col800, #T_457a2_row15_col859, #T_457a2_row15_col860, #T_457a2_row15_col1227, #T_457a2_row15_col1339, #T_457a2_row15_col1342, #T_457a2_row17_col503, #T_457a2_row17_col1179, #T_457a2_row18_col201, #T_457a2_row18_col921, #T_457a2_row18_col1304, #T_457a2_row19_col91, #T_457a2_row19_col360, #T_457a2_row19_col1098, #T_457a2_row19_col1179, #T_457a2_row19_col1303, #T_457a2_row19_col1368, #T_457a2_row20_col436, #T_457a2_row20_col525, #T_457a2_row20_col674, #T_457a2_row20_col1091, #T_457a2_row20_col1107, #T_457a2_row20_col1250, #T_457a2_row20_col1335, #T_457a2_row20_col1432, #T_457a2_row21_col291, #T_457a2_row21_col599, #T_457a2_row21_col1145, #T_457a2_row21_col1244, #T_457a2_row22_col1235, #T_457a2_row23_col1213, #T_457a2_row23_col1428 {\n",
       "  background-color: #0569a5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col31, #T_457a2_row0_col751, #T_457a2_row0_col1192, #T_457a2_row1_col359, #T_457a2_row1_col385, #T_457a2_row1_col498, #T_457a2_row1_col1079, #T_457a2_row1_col1167, #T_457a2_row1_col1200, #T_457a2_row1_col1301, #T_457a2_row1_col1309, #T_457a2_row1_col1320, #T_457a2_row1_col1392, #T_457a2_row2_col335, #T_457a2_row2_col1196, #T_457a2_row2_col1285, #T_457a2_row3_col657, #T_457a2_row3_col703, #T_457a2_row3_col896, #T_457a2_row7_col314, #T_457a2_row7_col320, #T_457a2_row7_col484, #T_457a2_row7_col749, #T_457a2_row7_col802, #T_457a2_row7_col979, #T_457a2_row7_col1034, #T_457a2_row7_col1040, #T_457a2_row7_col1095, #T_457a2_row7_col1132, #T_457a2_row7_col1207, #T_457a2_row7_col1273, #T_457a2_row8_col1143, #T_457a2_row8_col1346, #T_457a2_row12_col661, #T_457a2_row12_col1402, #T_457a2_row13_col688, #T_457a2_row13_col963, #T_457a2_row13_col1192, #T_457a2_row14_col1166, #T_457a2_row14_col1304, #T_457a2_row14_col1326, #T_457a2_row15_col1135, #T_457a2_row16_col1195, #T_457a2_row19_col1389, #T_457a2_row20_col465, #T_457a2_row20_col846, #T_457a2_row20_col1043, #T_457a2_row21_col1379, #T_457a2_row24_col123, #T_457a2_row24_col843, #T_457a2_row24_col1201, #T_457a2_row24_col1385 {\n",
       "  background-color: #034b76;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col32, #T_457a2_row0_col199, #T_457a2_row0_col392, #T_457a2_row1_col696, #T_457a2_row1_col1112, #T_457a2_row1_col1136, #T_457a2_row1_col1276, #T_457a2_row1_col1342, #T_457a2_row2_col34, #T_457a2_row2_col504, #T_457a2_row2_col754, #T_457a2_row2_col1216, #T_457a2_row3_col456, #T_457a2_row4_col127, #T_457a2_row4_col847, #T_457a2_row5_col1282, #T_457a2_row6_col131, #T_457a2_row7_col152, #T_457a2_row7_col430, #T_457a2_row7_col608, #T_457a2_row7_col685, #T_457a2_row7_col872, #T_457a2_row7_col1138, #T_457a2_row8_col120, #T_457a2_row8_col840, #T_457a2_row8_col1379, #T_457a2_row9_col1329, #T_457a2_row12_col167, #T_457a2_row12_col331, #T_457a2_row12_col581, #T_457a2_row12_col711, #T_457a2_row12_col887, #T_457a2_row12_col1051, #T_457a2_row13_col64, #T_457a2_row13_col1386, #T_457a2_row14_col1102, #T_457a2_row15_col545, #T_457a2_row15_col687, #T_457a2_row15_col1313, #T_457a2_row20_col311, #T_457a2_row20_col380, #T_457a2_row20_col1031, #T_457a2_row21_col1113, #T_457a2_row21_col1270 {\n",
       "  background-color: #034871;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col33, #T_457a2_row0_col368, #T_457a2_row0_col1309, #T_457a2_row1_col92, #T_457a2_row1_col245, #T_457a2_row1_col318, #T_457a2_row1_col364, #T_457a2_row1_col565, #T_457a2_row1_col591, #T_457a2_row1_col677, #T_457a2_row1_col965, #T_457a2_row1_col1038, #T_457a2_row1_col1172, #T_457a2_row1_col1212, #T_457a2_row1_col1394, #T_457a2_row2_col11, #T_457a2_row2_col290, #T_457a2_row2_col306, #T_457a2_row2_col531, #T_457a2_row2_col609, #T_457a2_row2_col731, #T_457a2_row2_col1010, #T_457a2_row2_col1026, #T_457a2_row2_col1213, #T_457a2_row2_col1386, #T_457a2_row2_col1405, #T_457a2_row3_col202, #T_457a2_row3_col278, #T_457a2_row3_col551, #T_457a2_row3_col620, #T_457a2_row3_col716, #T_457a2_row3_col720, #T_457a2_row3_col922, #T_457a2_row3_col998, #T_457a2_row3_col1119, #T_457a2_row3_col1137, #T_457a2_row3_col1194, #T_457a2_row3_col1299, #T_457a2_row4_col285, #T_457a2_row4_col319, #T_457a2_row4_col1005, #T_457a2_row4_col1039, #T_457a2_row4_col1237, #T_457a2_row4_col1441, #T_457a2_row5_col594, #T_457a2_row5_col1096, #T_457a2_row5_col1159, #T_457a2_row5_col1233, #T_457a2_row5_col1255, #T_457a2_row6_col361, #T_457a2_row6_col557, #T_457a2_row6_col1191, #T_457a2_row7_col54, #T_457a2_row7_col80, #T_457a2_row7_col242, #T_457a2_row7_col313, #T_457a2_row7_col629, #T_457a2_row7_col774, #T_457a2_row7_col800, #T_457a2_row7_col1033, #T_457a2_row8_col1391, #T_457a2_row9_col219, #T_457a2_row9_col254, #T_457a2_row9_col939, #T_457a2_row9_col974, #T_457a2_row9_col1196, #T_457a2_row10_col386, #T_457a2_row10_col715, #T_457a2_row10_col1099, #T_457a2_row12_col93, #T_457a2_row12_col399, #T_457a2_row12_col628, #T_457a2_row12_col813, #T_457a2_row12_col1179, #T_457a2_row12_col1259, #T_457a2_row12_col1433, #T_457a2_row13_col496, #T_457a2_row13_col903, #T_457a2_row15_col94, #T_457a2_row15_col165, #T_457a2_row15_col297, #T_457a2_row15_col308, #T_457a2_row15_col513, #T_457a2_row15_col716, #T_457a2_row15_col1193, #T_457a2_row15_col1419, #T_457a2_row15_col1435, #T_457a2_row16_col1366, #T_457a2_row17_col182, #T_457a2_row17_col305, #T_457a2_row17_col335, #T_457a2_row17_col519, #T_457a2_row17_col1025, #T_457a2_row17_col1251, #T_457a2_row17_col1277, #T_457a2_row17_col1319, #T_457a2_row18_col346, #T_457a2_row18_col1066, #T_457a2_row18_col1223, #T_457a2_row18_col1240, #T_457a2_row19_col230, #T_457a2_row19_col950, #T_457a2_row20_col105, #T_457a2_row20_col256, #T_457a2_row20_col825, #T_457a2_row20_col938, #T_457a2_row20_col976, #T_457a2_row21_col176, #T_457a2_row21_col751, #T_457a2_row22_col205, #T_457a2_row22_col1240, #T_457a2_row22_col1379 {\n",
       "  background-color: #056faf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col34, #T_457a2_row0_col1088, #T_457a2_row0_col1182, #T_457a2_row0_col1190, #T_457a2_row0_col1380, #T_457a2_row1_col399, #T_457a2_row1_col511, #T_457a2_row1_col1241, #T_457a2_row1_col1294, #T_457a2_row1_col1322, #T_457a2_row1_col1335, #T_457a2_row2_col443, #T_457a2_row2_col563, #T_457a2_row3_col75, #T_457a2_row3_col531, #T_457a2_row3_col795, #T_457a2_row4_col417, #T_457a2_row4_col602, #T_457a2_row4_col1322, #T_457a2_row5_col202, #T_457a2_row5_col922, #T_457a2_row6_col205, #T_457a2_row6_col466, #T_457a2_row7_col140, #T_457a2_row7_col292, #T_457a2_row7_col860, #T_457a2_row7_col1012, #T_457a2_row7_col1067, #T_457a2_row7_col1318, #T_457a2_row7_col1366, #T_457a2_row11_col451, #T_457a2_row12_col154, #T_457a2_row12_col691, #T_457a2_row12_col874, #T_457a2_row12_col1421, #T_457a2_row13_col51, #T_457a2_row13_col185, #T_457a2_row13_col201, #T_457a2_row13_col204, #T_457a2_row13_col538, #T_457a2_row13_col771, #T_457a2_row13_col905, #T_457a2_row13_col921, #T_457a2_row13_col924, #T_457a2_row14_col1111, #T_457a2_row14_col1175, #T_457a2_row14_col1259, #T_457a2_row14_col1266, #T_457a2_row15_col454, #T_457a2_row15_col525, #T_457a2_row15_col549, #T_457a2_row15_col605, #T_457a2_row15_col658, #T_457a2_row15_col1076, #T_457a2_row15_col1207, #T_457a2_row16_col222, #T_457a2_row16_col940, #T_457a2_row16_col942, #T_457a2_row16_col1161, #T_457a2_row17_col427, #T_457a2_row17_col787, #T_457a2_row18_col1280, #T_457a2_row18_col1433, #T_457a2_row19_col518, #T_457a2_row19_col705, #T_457a2_row19_col938, #T_457a2_row19_col1312, #T_457a2_row20_col403, #T_457a2_row20_col503, #T_457a2_row22_col456, #T_457a2_row23_col1372, #T_457a2_row24_col485 {\n",
       "  background-color: #04588a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
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       "  color: #000000;\n",
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       "  background-color: #8fb4d6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col39, #T_457a2_row0_col683, #T_457a2_row0_col698, #T_457a2_row0_col759, #T_457a2_row0_col1004, #T_457a2_row0_col1274, #T_457a2_row1_col57, #T_457a2_row1_col369, #T_457a2_row1_col474, #T_457a2_row1_col777, #T_457a2_row1_col1286, #T_457a2_row2_col133, #T_457a2_row2_col525, #T_457a2_row2_col672, #T_457a2_row2_col698, #T_457a2_row2_col853, #T_457a2_row2_col1156, #T_457a2_row3_col33, #T_457a2_row3_col61, #T_457a2_row3_col195, #T_457a2_row3_col527, #T_457a2_row3_col571, #T_457a2_row3_col915, #T_457a2_row4_col281, #T_457a2_row4_col402, #T_457a2_row4_col513, #T_457a2_row4_col671, #T_457a2_row4_col1001, #T_457a2_row4_col1023, #T_457a2_row4_col1215, #T_457a2_row5_col260, #T_457a2_row5_col427, #T_457a2_row5_col626, #T_457a2_row5_col647, #T_457a2_row5_col694, #T_457a2_row5_col980, #T_457a2_row6_col60, #T_457a2_row6_col248, #T_457a2_row6_col412, #T_457a2_row6_col527, #T_457a2_row6_col624, #T_457a2_row6_col968, #T_457a2_row6_col1067, #T_457a2_row6_col1216, #T_457a2_row6_col1227, #T_457a2_row6_col1263, #T_457a2_row6_col1370, #T_457a2_row7_col159, #T_457a2_row7_col879, #T_457a2_row8_col425, #T_457a2_row8_col552, #T_457a2_row8_col599, #T_457a2_row8_col1282, #T_457a2_row9_col56, #T_457a2_row9_col138, #T_457a2_row9_col172, #T_457a2_row9_col236, #T_457a2_row9_col370, #T_457a2_row9_col614, #T_457a2_row9_col858, #T_457a2_row9_col892, #T_457a2_row10_col274, #T_457a2_row10_col308, #T_457a2_row10_col596, #T_457a2_row10_col611, #T_457a2_row10_col684, #T_457a2_row10_col834, #T_457a2_row10_col993, #T_457a2_row10_col994, #T_457a2_row10_col1028, #T_457a2_row11_col738, #T_457a2_row12_col83, #T_457a2_row12_col228, #T_457a2_row12_col275, #T_457a2_row12_col322, #T_457a2_row12_col324, #T_457a2_row12_col801, #T_457a2_row12_col948, #T_457a2_row12_col995, #T_457a2_row12_col1042, #T_457a2_row12_col1044, #T_457a2_row12_col1224, #T_457a2_row13_col230, #T_457a2_row13_col312, #T_457a2_row13_col596, #T_457a2_row13_col672, #T_457a2_row13_col1032, #T_457a2_row14_col84, #T_457a2_row14_col447, #T_457a2_row14_col671, #T_457a2_row14_col1038, #T_457a2_row14_col1183, #T_457a2_row14_col1257, #T_457a2_row15_col287, #T_457a2_row15_col363, #T_457a2_row15_col1023, #T_457a2_row16_col36, #T_457a2_row16_col83, #T_457a2_row16_col342, #T_457a2_row16_col398, #T_457a2_row16_col477, #T_457a2_row16_col528, #T_457a2_row16_col690, #T_457a2_row16_col756, #T_457a2_row16_col965, #T_457a2_row16_col1170, #T_457a2_row16_col1187, #T_457a2_row17_col282, #T_457a2_row17_col370, #T_457a2_row17_col391, #T_457a2_row17_col395, #T_457a2_row17_col471, #T_457a2_row17_col1002, #T_457a2_row17_col1141, #T_457a2_row18_col93, #T_457a2_row18_col165, #T_457a2_row18_col275, #T_457a2_row18_col464, #T_457a2_row18_col472, #T_457a2_row18_col534, #T_457a2_row18_col813, #T_457a2_row18_col995, #T_457a2_row18_col1009, #T_457a2_row19_col129, #T_457a2_row19_col236, #T_457a2_row19_col1319, #T_457a2_row19_col1336, #T_457a2_row19_col1348, #T_457a2_row20_col51, #T_457a2_row20_col66, #T_457a2_row20_col81, #T_457a2_row20_col692, #T_457a2_row20_col771, #T_457a2_row20_col786, #T_457a2_row20_col801, #T_457a2_row21_col500, #T_457a2_row21_col537, #T_457a2_row21_col538, #T_457a2_row21_col744, #T_457a2_row21_col1367, #T_457a2_row21_col1442, #T_457a2_row22_col598, #T_457a2_row22_col651, #T_457a2_row22_col684, #T_457a2_row22_col697, #T_457a2_row23_col196, #T_457a2_row23_col274, #T_457a2_row23_col275, #T_457a2_row23_col421, #T_457a2_row23_col735, #T_457a2_row23_col916, #T_457a2_row23_col994, #T_457a2_row23_col995, #T_457a2_row23_col1151, #T_457a2_row23_col1248, #T_457a2_row23_col1348, #T_457a2_row24_col176, #T_457a2_row24_col286, #T_457a2_row24_col312, #T_457a2_row24_col461, #T_457a2_row24_col655, #T_457a2_row24_col896, #T_457a2_row24_col1032 {\n",
       "  background-color: #b1c2de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col40, #T_457a2_row0_col66, #T_457a2_row0_col308, #T_457a2_row0_col760, #T_457a2_row0_col786, #T_457a2_row0_col1028, #T_457a2_row0_col1066, #T_457a2_row0_col1090, #T_457a2_row0_col1312, #T_457a2_row1_col515, #T_457a2_row1_col525, #T_457a2_row1_col1073, #T_457a2_row1_col1281, #T_457a2_row1_col1405, #T_457a2_row2_col642, #T_457a2_row2_col1396, #T_457a2_row3_col464, #T_457a2_row3_col989, #T_457a2_row4_col216, #T_457a2_row4_col498, #T_457a2_row4_col936, #T_457a2_row5_col695, #T_457a2_row5_col1242, #T_457a2_row6_col306, #T_457a2_row6_col307, #T_457a2_row6_col1026, #T_457a2_row6_col1027, #T_457a2_row7_col12, #T_457a2_row7_col67, #T_457a2_row7_col79, #T_457a2_row7_col126, #T_457a2_row7_col189, #T_457a2_row7_col419, #T_457a2_row7_col425, #T_457a2_row7_col525, #T_457a2_row7_col561, #T_457a2_row7_col678, #T_457a2_row7_col732, #T_457a2_row7_col787, #T_457a2_row7_col846, #T_457a2_row7_col909, #T_457a2_row7_col1240, #T_457a2_row7_col1333, #T_457a2_row8_col1163, #T_457a2_row8_col1351, #T_457a2_row9_col64, #T_457a2_row9_col486, #T_457a2_row12_col343, #T_457a2_row12_col605, #T_457a2_row12_col1347, #T_457a2_row13_col106, #T_457a2_row13_col256, #T_457a2_row13_col278, #T_457a2_row13_col349, #T_457a2_row13_col648, #T_457a2_row13_col998, #T_457a2_row14_col1371, #T_457a2_row15_col621, #T_457a2_row15_col996, #T_457a2_row15_col1150, #T_457a2_row15_col1165, #T_457a2_row15_col1358, #T_457a2_row16_col1322, #T_457a2_row17_col584, #T_457a2_row18_col1343, #T_457a2_row18_col1431, #T_457a2_row20_col291, #T_457a2_row20_col399, #T_457a2_row20_col1011, #T_457a2_row20_col1386, #T_457a2_row22_col604, #T_457a2_row24_col70, #T_457a2_row24_col790 {\n",
       "  background-color: #03517e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col41, #T_457a2_row0_col44, #T_457a2_row0_col568, #T_457a2_row0_col749, #T_457a2_row0_col761, #T_457a2_row0_col1160, #T_457a2_row0_col1427, #T_457a2_row1_col30, #T_457a2_row1_col238, #T_457a2_row1_col278, #T_457a2_row1_col294, #T_457a2_row1_col354, #T_457a2_row1_col635, #T_457a2_row1_col643, #T_457a2_row1_col750, #T_457a2_row1_col958, #T_457a2_row1_col998, #T_457a2_row1_col1007, #T_457a2_row1_col1029, #T_457a2_row1_col1074, #T_457a2_row2_col45, #T_457a2_row2_col145, #T_457a2_row2_col480, #T_457a2_row2_col675, #T_457a2_row2_col765, #T_457a2_row2_col865, #T_457a2_row3_col45, #T_457a2_row3_col163, #T_457a2_row3_col207, #T_457a2_row3_col765, #T_457a2_row4_col16, #T_457a2_row4_col206, #T_457a2_row4_col280, #T_457a2_row4_col459, #T_457a2_row4_col612, #T_457a2_row4_col736, #T_457a2_row4_col926, #T_457a2_row4_col1000, #T_457a2_row4_col1324, #T_457a2_row5_col34, #T_457a2_row5_col41, #T_457a2_row5_col329, #T_457a2_row5_col471, #T_457a2_row5_col580, #T_457a2_row5_col607, #T_457a2_row5_col634, #T_457a2_row5_col761, #T_457a2_row5_col974, #T_457a2_row5_col1049, #T_457a2_row5_col1320, #T_457a2_row5_col1377, #T_457a2_row6_col114, #T_457a2_row6_col119, #T_457a2_row6_col378, #T_457a2_row6_col538, #T_457a2_row6_col834, #T_457a2_row6_col839, #T_457a2_row6_col1092, #T_457a2_row6_col1167, #T_457a2_row6_col1241, #T_457a2_row6_col1264, #T_457a2_row6_col1357, #T_457a2_row6_col1362, #T_457a2_row7_col737, #T_457a2_row8_col136, #T_457a2_row8_col161, #T_457a2_row8_col327, #T_457a2_row8_col534, #T_457a2_row8_col644, #T_457a2_row8_col856, #T_457a2_row8_col881, #T_457a2_row8_col1047, #T_457a2_row9_col12, #T_457a2_row9_col90, #T_457a2_row9_col206, #T_457a2_row9_col258, #T_457a2_row9_col364, #T_457a2_row9_col382, #T_457a2_row9_col618, #T_457a2_row9_col637, #T_457a2_row9_col732, #T_457a2_row9_col764, #T_457a2_row9_col810, #T_457a2_row9_col926, #T_457a2_row9_col978, #T_457a2_row9_col1133, #T_457a2_row9_col1158, #T_457a2_row9_col1410, #T_457a2_row10_col60, #T_457a2_row10_col310, #T_457a2_row10_col614, #T_457a2_row10_col678, #T_457a2_row10_col766, #T_457a2_row10_col1076, #T_457a2_row10_col1145, #T_457a2_row10_col1421, #T_457a2_row10_col1437, #T_457a2_row11_col509, #T_457a2_row11_col1003, #T_457a2_row11_col1017, #T_457a2_row12_col165, #T_457a2_row12_col196, #T_457a2_row12_col683, #T_457a2_row12_col885, #T_457a2_row12_col916, #T_457a2_row12_col1423, #T_457a2_row13_col13, #T_457a2_row13_col90, #T_457a2_row13_col98, #T_457a2_row13_col733, #T_457a2_row13_col810, #T_457a2_row13_col818, #T_457a2_row13_col1120, #T_457a2_row13_col1372, #T_457a2_row14_col26, #T_457a2_row14_col163, #T_457a2_row14_col390, #T_457a2_row14_col650, #T_457a2_row15_col286, #T_457a2_row15_col375, #T_457a2_row15_col717, #T_457a2_row15_col1006, #T_457a2_row15_col1247, #T_457a2_row16_col26, #T_457a2_row16_col32, #T_457a2_row16_col746, #T_457a2_row16_col1415, #T_457a2_row17_col448, #T_457a2_row17_col473, #T_457a2_row17_col570, #T_457a2_row17_col1419, #T_457a2_row18_col263, #T_457a2_row18_col361, #T_457a2_row18_col415, #T_457a2_row18_col497, #T_457a2_row18_col680, #T_457a2_row18_col983, #T_457a2_row18_col1081, #T_457a2_row18_col1170, #T_457a2_row18_col1172, #T_457a2_row18_col1281, #T_457a2_row19_col62, #T_457a2_row19_col495, #T_457a2_row19_col531, #T_457a2_row19_col710, #T_457a2_row19_col782, #T_457a2_row19_col1206, #T_457a2_row19_col1324, #T_457a2_row19_col1349, #T_457a2_row20_col24, #T_457a2_row20_col103, #T_457a2_row20_col257, #T_457a2_row20_col405, #T_457a2_row20_col590, #T_457a2_row20_col688, #T_457a2_row20_col744, #T_457a2_row20_col844, #T_457a2_row20_col977, #T_457a2_row20_col1171, #T_457a2_row20_col1354, #T_457a2_row20_col1358, #T_457a2_row20_col1402, #T_457a2_row20_col1404, #T_457a2_row21_col91, #T_457a2_row21_col161, #T_457a2_row21_col521, #T_457a2_row21_col550, #T_457a2_row21_col811, #T_457a2_row21_col881, #T_457a2_row21_col1408, #T_457a2_row22_col189, #T_457a2_row22_col223, #T_457a2_row22_col282, #T_457a2_row22_col678, #T_457a2_row22_col909, #T_457a2_row22_col943, #T_457a2_row22_col1099, #T_457a2_row22_col1422, #T_457a2_row23_col221, #T_457a2_row23_col592, #T_457a2_row23_col815, #T_457a2_row23_col941, #T_457a2_row23_col1115, #T_457a2_row23_col1173, #T_457a2_row23_col1238, #T_457a2_row23_col1421, #T_457a2_row24_col264, #T_457a2_row24_col984, #T_457a2_row24_col1377, #T_457a2_row24_col1430 {\n",
       "  background-color: #8bb2d4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col42, #T_457a2_row0_col57, #T_457a2_row0_col224, #T_457a2_row0_col296, #T_457a2_row0_col547, #T_457a2_row0_col762, #T_457a2_row0_col777, #T_457a2_row0_col1016, #T_457a2_row1_col4, #T_457a2_row1_col42, #T_457a2_row1_col341, #T_457a2_row1_col408, #T_457a2_row1_col571, #T_457a2_row1_col721, #T_457a2_row1_col724, #T_457a2_row1_col762, #T_457a2_row1_col1061, #T_457a2_row2_col12, #T_457a2_row2_col55, #T_457a2_row2_col57, #T_457a2_row2_col86, #T_457a2_row2_col169, #T_457a2_row2_col296, #T_457a2_row2_col422, #T_457a2_row2_col478, #T_457a2_row2_col732, #T_457a2_row2_col775, #T_457a2_row2_col777, #T_457a2_row2_col806, #T_457a2_row2_col889, #T_457a2_row2_col1124, #T_457a2_row2_col1289, #T_457a2_row2_col1338, #T_457a2_row3_col55, #T_457a2_row3_col257, #T_457a2_row3_col775, #T_457a2_row3_col780, #T_457a2_row3_col977, #T_457a2_row3_col1182, #T_457a2_row3_col1235, #T_457a2_row3_col1239, #T_457a2_row3_col1317, #T_457a2_row3_col1410, #T_457a2_row4_col109, #T_457a2_row4_col246, #T_457a2_row4_col291, #T_457a2_row4_col304, #T_457a2_row4_col399, #T_457a2_row4_col625, #T_457a2_row4_col710, #T_457a2_row4_col829, #T_457a2_row4_col1011, #T_457a2_row4_col1142, #T_457a2_row4_col1220, #T_457a2_row4_col1376, #T_457a2_row4_col1422, #T_457a2_row5_col57, #T_457a2_row5_col191, #T_457a2_row5_col403, #T_457a2_row5_col464, #T_457a2_row5_col479, #T_457a2_row5_col625, #T_457a2_row5_col911, #T_457a2_row5_col1094, #T_457a2_row5_col1162, #T_457a2_row5_col1224, #T_457a2_row5_col1274, #T_457a2_row5_col1410, #T_457a2_row6_col188, #T_457a2_row6_col277, #T_457a2_row6_col908, #T_457a2_row6_col997, #T_457a2_row6_col1196, #T_457a2_row6_col1234, #T_457a2_row6_col1413, #T_457a2_row6_col1434, #T_457a2_row7_col148, #T_457a2_row7_col392, #T_457a2_row8_col201, #T_457a2_row8_col381, #T_457a2_row8_col457, #T_457a2_row8_col921, #T_457a2_row8_col1168, #T_457a2_row8_col1215, #T_457a2_row8_col1221, #T_457a2_row8_col1291, #T_457a2_row9_col285, #T_457a2_row9_col381, #T_457a2_row9_col526, #T_457a2_row9_col643, #T_457a2_row9_col1187, #T_457a2_row9_col1256, #T_457a2_row9_col1359, #T_457a2_row9_col1443, #T_457a2_row10_col40, #T_457a2_row10_col139, #T_457a2_row10_col198, #T_457a2_row10_col206, #T_457a2_row10_col533, #T_457a2_row10_col548, #T_457a2_row10_col760, #T_457a2_row10_col859, #T_457a2_row10_col916, #T_457a2_row10_col918, #T_457a2_row10_col926, #T_457a2_row10_col1091, #T_457a2_row10_col1164, #T_457a2_row10_col1169, #T_457a2_row10_col1231, #T_457a2_row10_col1239, #T_457a2_row11_col59, #T_457a2_row11_col128, #T_457a2_row11_col165, #T_457a2_row11_col285, #T_457a2_row11_col631, #T_457a2_row11_col774, #T_457a2_row11_col885, #T_457a2_row11_col1022, #T_457a2_row12_col134, #T_457a2_row12_col798, #T_457a2_row12_col837, #T_457a2_row12_col849, #T_457a2_row12_col854, #T_457a2_row12_col1030, #T_457a2_row12_col1242, #T_457a2_row12_col1438, #T_457a2_row13_col209, #T_457a2_row13_col300, #T_457a2_row13_col929, #T_457a2_row13_col1020, #T_457a2_row13_col1138, #T_457a2_row13_col1150, #T_457a2_row14_col502, #T_457a2_row14_col617, #T_457a2_row14_col1122, #T_457a2_row14_col1230, #T_457a2_row14_col1236, #T_457a2_row14_col1352, #T_457a2_row15_col83, #T_457a2_row15_col93, #T_457a2_row15_col178, #T_457a2_row15_col616, #T_457a2_row15_col898, #T_457a2_row15_col919, #T_457a2_row15_col1055, #T_457a2_row15_col1060, #T_457a2_row15_col1115, #T_457a2_row15_col1189, #T_457a2_row15_col1398, #T_457a2_row16_col283, #T_457a2_row16_col337, #T_457a2_row16_col744, #T_457a2_row16_col1057, #T_457a2_row17_col1181, #T_457a2_row18_col5, #T_457a2_row18_col217, #T_457a2_row18_col725, #T_457a2_row18_col937, #T_457a2_row18_col1017, #T_457a2_row18_col1140, #T_457a2_row18_col1239, #T_457a2_row18_col1434, #T_457a2_row19_col395, #T_457a2_row19_col500, #T_457a2_row19_col548, #T_457a2_row19_col1077, #T_457a2_row19_col1271, #T_457a2_row19_col1430, #T_457a2_row20_col310, #T_457a2_row20_col346, #T_457a2_row20_col534, #T_457a2_row20_col972, #T_457a2_row20_col1066, #T_457a2_row20_col1269, #T_457a2_row21_col11, #T_457a2_row21_col386, #T_457a2_row21_col731, #T_457a2_row21_col1151, #T_457a2_row22_col83, #T_457a2_row22_col92, #T_457a2_row22_col188, #T_457a2_row22_col211, #T_457a2_row22_col224, #T_457a2_row22_col556, #T_457a2_row22_col642, #T_457a2_row22_col812, #T_457a2_row22_col908, #T_457a2_row22_col931, #T_457a2_row22_col978, #T_457a2_row22_col1376, #T_457a2_row22_col1392, #T_457a2_row23_col53, #T_457a2_row23_col252, #T_457a2_row23_col254, #T_457a2_row23_col268, #T_457a2_row23_col300, #T_457a2_row23_col614, #T_457a2_row23_col659, #T_457a2_row23_col841, #T_457a2_row23_col845, #T_457a2_row23_col972, #T_457a2_row23_col974, #T_457a2_row23_col1020, #T_457a2_row23_col1039, #T_457a2_row23_col1202, #T_457a2_row24_col241, #T_457a2_row24_col321, #T_457a2_row24_col1041 {\n",
       "  background-color: #81aed2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col43, #T_457a2_row0_col240, #T_457a2_row0_col280, #T_457a2_row0_col427, #T_457a2_row0_col564, #T_457a2_row0_col763, #T_457a2_row0_col960, #T_457a2_row0_col987, #T_457a2_row0_col1000, #T_457a2_row0_col1268, #T_457a2_row0_col1363, #T_457a2_row1_col163, #T_457a2_row1_col840, #T_457a2_row1_col1268, #T_457a2_row1_col1411, #T_457a2_row2_col1348, #T_457a2_row3_col366, #T_457a2_row3_col1197, #T_457a2_row4_col776, #T_457a2_row5_col1092, #T_457a2_row6_col302, #T_457a2_row6_col898, #T_457a2_row6_col1022, #T_457a2_row7_col331, #T_457a2_row7_col356, #T_457a2_row7_col552, #T_457a2_row7_col712, #T_457a2_row7_col1051, #T_457a2_row7_col1076, #T_457a2_row8_col1181, #T_457a2_row8_col1200, #T_457a2_row8_col1326, #T_457a2_row9_col78, #T_457a2_row9_col289, #T_457a2_row9_col340, #T_457a2_row9_col1060, #T_457a2_row9_col1253, #T_457a2_row11_col26, #T_457a2_row11_col746, #T_457a2_row11_col983, #T_457a2_row12_col485, #T_457a2_row12_col1090, #T_457a2_row12_col1187, #T_457a2_row12_col1237, #T_457a2_row13_col168, #T_457a2_row13_col467, #T_457a2_row13_col468, #T_457a2_row13_col573, #T_457a2_row13_col1193, #T_457a2_row15_col1259, #T_457a2_row15_col1271, #T_457a2_row15_col1439, #T_457a2_row17_col64, #T_457a2_row17_col1100, #T_457a2_row18_col588, #T_457a2_row18_col1213, #T_457a2_row20_col19, #T_457a2_row20_col633, #T_457a2_row20_col739, #T_457a2_row21_col1126 {\n",
       "  background-color: #045585;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col45, #T_457a2_row0_col194, #T_457a2_row0_col419, #T_457a2_row0_col539, #T_457a2_row0_col707, #T_457a2_row0_col708, #T_457a2_row0_col765, #T_457a2_row0_col914, #T_457a2_row0_col1181, #T_457a2_row1_col104, #T_457a2_row1_col307, #T_457a2_row1_col499, #T_457a2_row1_col582, #T_457a2_row1_col824, #T_457a2_row1_col893, #T_457a2_row1_col1027, #T_457a2_row1_col1327, #T_457a2_row1_col1331, #T_457a2_row2_col120, #T_457a2_row2_col176, #T_457a2_row2_col542, #T_457a2_row2_col673, #T_457a2_row2_col1086, #T_457a2_row2_col1113, #T_457a2_row2_col1157, #T_457a2_row2_col1259, #T_457a2_row2_col1279, #T_457a2_row2_col1337, #T_457a2_row3_col240, #T_457a2_row3_col502, #T_457a2_row3_col1155, #T_457a2_row3_col1216, #T_457a2_row3_col1283, #T_457a2_row3_col1390, #T_457a2_row4_col125, #T_457a2_row4_col445, #T_457a2_row4_col462, #T_457a2_row4_col511, #T_457a2_row4_col599, #T_457a2_row4_col845, #T_457a2_row4_col1084, #T_457a2_row4_col1193, #T_457a2_row4_col1326, #T_457a2_row4_col1403, #T_457a2_row5_col433, #T_457a2_row5_col459, #T_457a2_row5_col616, #T_457a2_row5_col713, #T_457a2_row5_col714, #T_457a2_row5_col975, #T_457a2_row5_col1401, #T_457a2_row6_col137, #T_457a2_row6_col308, #T_457a2_row6_col333, #T_457a2_row6_col857, #T_457a2_row6_col875, #T_457a2_row6_col1028, #T_457a2_row6_col1149, #T_457a2_row6_col1220, #T_457a2_row6_col1304, #T_457a2_row7_col176, #T_457a2_row7_col202, #T_457a2_row7_col896, #T_457a2_row7_col922, #T_457a2_row7_col1124, #T_457a2_row7_col1401, #T_457a2_row8_col373, #T_457a2_row8_col506, #T_457a2_row8_col512, #T_457a2_row8_col666, #T_457a2_row8_col720, #T_457a2_row8_col1108, #T_457a2_row8_col1398, #T_457a2_row8_col1426, #T_457a2_row9_col425, #T_457a2_row9_col719, #T_457a2_row9_col1091, #T_457a2_row9_col1306, #T_457a2_row10_col236, #T_457a2_row10_col956, #T_457a2_row10_col1404, #T_457a2_row11_col298, #T_457a2_row11_col470, #T_457a2_row11_col1018, #T_457a2_row12_col130, #T_457a2_row12_col159, #T_457a2_row12_col425, #T_457a2_row12_col850, #T_457a2_row12_col1213, #T_457a2_row12_col1392, #T_457a2_row12_col1406, #T_457a2_row13_col1092, #T_457a2_row13_col1131, #T_457a2_row13_col1194, #T_457a2_row13_col1404, #T_457a2_row14_col592, #T_457a2_row14_col1090, #T_457a2_row14_col1258, #T_457a2_row14_col1422, #T_457a2_row15_col172, #T_457a2_row15_col367, #T_457a2_row15_col458, #T_457a2_row15_col539, #T_457a2_row15_col680, #T_457a2_row15_col892, #T_457a2_row15_col1070, #T_457a2_row15_col1319, #T_457a2_row16_col757, #T_457a2_row16_col1171, #T_457a2_row16_col1284, #T_457a2_row16_col1295, #T_457a2_row17_col267, #T_457a2_row17_col299, #T_457a2_row17_col987, #T_457a2_row17_col1019, #T_457a2_row17_col1232, #T_457a2_row18_col96, #T_457a2_row18_col496, #T_457a2_row18_col577, #T_457a2_row18_col646, #T_457a2_row18_col789, #T_457a2_row18_col816, #T_457a2_row18_col1330, #T_457a2_row18_col1334, #T_457a2_row18_col1421, #T_457a2_row18_col1426, #T_457a2_row19_col72, #T_457a2_row19_col121, #T_457a2_row19_col220, #T_457a2_row19_col244, #T_457a2_row19_col316, #T_457a2_row19_col376, #T_457a2_row19_col385, #T_457a2_row19_col394, #T_457a2_row19_col483, #T_457a2_row19_col565, #T_457a2_row19_col689, #T_457a2_row19_col698, #T_457a2_row19_col792, #T_457a2_row19_col940, #T_457a2_row19_col964, #T_457a2_row19_col1036, #T_457a2_row19_col1090, #T_457a2_row19_col1428, #T_457a2_row20_col71, #T_457a2_row20_col121, #T_457a2_row20_col214, #T_457a2_row20_col215, #T_457a2_row20_col777, #T_457a2_row20_col841, #T_457a2_row20_col934, #T_457a2_row20_col935, #T_457a2_row21_col223, #T_457a2_row21_col244, #T_457a2_row21_col605, #T_457a2_row21_col943, #T_457a2_row21_col964, #T_457a2_row21_col1104, #T_457a2_row21_col1286, #T_457a2_row21_col1425, #T_457a2_row22_col10, #T_457a2_row22_col531, #T_457a2_row22_col1104, #T_457a2_row22_col1119, #T_457a2_row22_col1327, #T_457a2_row23_col705, #T_457a2_row23_col1287, #T_457a2_row23_col1342, #T_457a2_row24_col137, #T_457a2_row24_col626 {\n",
       "  background-color: #5c9fc9;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #045f95;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col47, #T_457a2_row0_col164, #T_457a2_row0_col466, #T_457a2_row0_col508, #T_457a2_row0_col884, #T_457a2_row0_col977, #T_457a2_row0_col1226, #T_457a2_row0_col1424, #T_457a2_row1_col598, #T_457a2_row1_col668, #T_457a2_row1_col676, #T_457a2_row1_col1274, #T_457a2_row2_col47, #T_457a2_row2_col479, #T_457a2_row2_col656, #T_457a2_row2_col689, #T_457a2_row2_col767, #T_457a2_row2_col841, #T_457a2_row2_col1071, #T_457a2_row2_col1131, #T_457a2_row3_col97, #T_457a2_row3_col233, #T_457a2_row3_col301, #T_457a2_row3_col427, #T_457a2_row3_col615, #T_457a2_row3_col717, #T_457a2_row3_col744, #T_457a2_row3_col817, #T_457a2_row3_col953, #T_457a2_row3_col1021, #T_457a2_row3_col1096, #T_457a2_row3_col1136, #T_457a2_row3_col1158, #T_457a2_row3_col1268, #T_457a2_row3_col1358, #T_457a2_row3_col1415, #T_457a2_row3_col1431, #T_457a2_row4_col58, #T_457a2_row4_col214, #T_457a2_row4_col308, #T_457a2_row4_col662, #T_457a2_row4_col739, #T_457a2_row4_col890, #T_457a2_row4_col934, #T_457a2_row4_col1028, #T_457a2_row4_col1222, #T_457a2_row5_col137, #T_457a2_row5_col375, #T_457a2_row5_col410, #T_457a2_row5_col699, #T_457a2_row5_col706, #T_457a2_row5_col857, #T_457a2_row5_col1140, #T_457a2_row5_col1178, #T_457a2_row5_col1408, #T_457a2_row6_col5, #T_457a2_row6_col199, #T_457a2_row6_col329, #T_457a2_row6_col399, #T_457a2_row6_col560, #T_457a2_row6_col725, #T_457a2_row6_col1049, #T_457a2_row6_col1116, #T_457a2_row7_col1246, #T_457a2_row8_col5, #T_457a2_row8_col481, #T_457a2_row8_col725, #T_457a2_row8_col1102, #T_457a2_row8_col1315, #T_457a2_row9_col143, #T_457a2_row9_col250, #T_457a2_row9_col261, #T_457a2_row9_col316, #T_457a2_row9_col863, #T_457a2_row9_col970, #T_457a2_row9_col981, #T_457a2_row9_col1036, #T_457a2_row9_col1180, #T_457a2_row9_col1324, #T_457a2_row9_col1332, #T_457a2_row9_col1393, #T_457a2_row9_col1409, #T_457a2_row10_col235, #T_457a2_row10_col500, #T_457a2_row10_col521, #T_457a2_row10_col726, #T_457a2_row10_col955, #T_457a2_row10_col1153, #T_457a2_row10_col1248, #T_457a2_row11_col47, #T_457a2_row11_col48, #T_457a2_row11_col155, #T_457a2_row11_col277, #T_457a2_row11_col280, #T_457a2_row11_col287, #T_457a2_row11_col380, #T_457a2_row11_col381, #T_457a2_row11_col586, #T_457a2_row11_col767, #T_457a2_row11_col768, #T_457a2_row11_col974, #T_457a2_row11_col1000, #T_457a2_row11_col1007, #T_457a2_row11_col1090, #T_457a2_row12_col85, #T_457a2_row12_col247, #T_457a2_row12_col272, #T_457a2_row12_col576, #T_457a2_row12_col669, #T_457a2_row12_col670, #T_457a2_row12_col805, #T_457a2_row12_col967, #T_457a2_row12_col1282, #T_457a2_row12_col1340, #T_457a2_row13_col101, #T_457a2_row13_col118, #T_457a2_row13_col386, #T_457a2_row13_col641, #T_457a2_row13_col1296, #T_457a2_row13_col1312, #T_457a2_row13_col1397, #T_457a2_row13_col1399, #T_457a2_row13_col1411, #T_457a2_row14_col513, #T_457a2_row14_col540, #T_457a2_row14_col1314, #T_457a2_row15_col240, #T_457a2_row15_col471, #T_457a2_row15_col960, #T_457a2_row15_col1184, #T_457a2_row15_col1249, #T_457a2_row15_col1428, #T_457a2_row16_col124, #T_457a2_row16_col323, #T_457a2_row16_col844, #T_457a2_row16_col1043, #T_457a2_row16_col1165, #T_457a2_row16_col1358, #T_457a2_row16_col1404, #T_457a2_row17_col422, #T_457a2_row17_col560, #T_457a2_row17_col607, #T_457a2_row17_col1250, #T_457a2_row17_col1351, #T_457a2_row17_col1374, #T_457a2_row18_col40, #T_457a2_row18_col246, #T_457a2_row18_col399, #T_457a2_row18_col760, #T_457a2_row18_col880, #T_457a2_row18_col905, #T_457a2_row18_col966, #T_457a2_row18_col1206, #T_457a2_row18_col1300, #T_457a2_row18_col1373, #T_457a2_row19_col132, #T_457a2_row19_col444, #T_457a2_row19_col519, #T_457a2_row19_col673, #T_457a2_row19_col680, #T_457a2_row19_col852, #T_457a2_row19_col1217, #T_457a2_row19_col1290, #T_457a2_row20_col155, #T_457a2_row20_col249, #T_457a2_row20_col250, #T_457a2_row20_col342, #T_457a2_row20_col588, #T_457a2_row20_col607, #T_457a2_row20_col733, #T_457a2_row20_col875, #T_457a2_row20_col1062, #T_457a2_row20_col1217, #T_457a2_row20_col1236, #T_457a2_row20_col1352, #T_457a2_row21_col1344, #T_457a2_row22_col99, #T_457a2_row22_col159, #T_457a2_row22_col166, #T_457a2_row22_col819, #T_457a2_row22_col879, #T_457a2_row22_col886, #T_457a2_row22_col1117, #T_457a2_row22_col1120, #T_457a2_row23_col149, #T_457a2_row23_col192, #T_457a2_row23_col292, #T_457a2_row23_col295, #T_457a2_row23_col348, #T_457a2_row23_col389, #T_457a2_row23_col484, #T_457a2_row23_col685, #T_457a2_row23_col869, #T_457a2_row23_col890, #T_457a2_row23_col912, #T_457a2_row23_col1012, #T_457a2_row23_col1015, #T_457a2_row23_col1353, #T_457a2_row24_col20, #T_457a2_row24_col190, #T_457a2_row24_col218, #T_457a2_row24_col272, #T_457a2_row24_col627, #T_457a2_row24_col740, #T_457a2_row24_col938, #T_457a2_row24_col1104, #T_457a2_row24_col1188, #T_457a2_row24_col1206 {\n",
       "  background-color: #6fa7ce;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col48, #T_457a2_row0_col69, #T_457a2_row0_col214, #T_457a2_row0_col250, #T_457a2_row0_col768, #T_457a2_row0_col789, #T_457a2_row0_col934, #T_457a2_row0_col970, #T_457a2_row0_col1017, #T_457a2_row0_col1227, #T_457a2_row0_col1323, #T_457a2_row1_col139, #T_457a2_row1_col184, #T_457a2_row1_col202, #T_457a2_row1_col360, #T_457a2_row1_col627, #T_457a2_row1_col638, #T_457a2_row1_col720, #T_457a2_row1_col812, #T_457a2_row1_col859, #T_457a2_row1_col904, #T_457a2_row1_col1080, #T_457a2_row1_col1199, #T_457a2_row1_col1357, #T_457a2_row2_col420, #T_457a2_row2_col1121, #T_457a2_row3_col175, #T_457a2_row3_col265, #T_457a2_row3_col424, #T_457a2_row3_col578, #T_457a2_row3_col651, #T_457a2_row3_col985, #T_457a2_row3_col1374, #T_457a2_row4_col7, #T_457a2_row4_col66, #T_457a2_row4_col351, #T_457a2_row4_col727, #T_457a2_row4_col786, #T_457a2_row5_col27, #T_457a2_row5_col320, #T_457a2_row5_col351, #T_457a2_row5_col1040, #T_457a2_row5_col1071, #T_457a2_row5_col1182, #T_457a2_row5_col1315, #T_457a2_row6_col323, #T_457a2_row7_col100, #T_457a2_row7_col130, #T_457a2_row7_col146, #T_457a2_row7_col716, #T_457a2_row7_col820, #T_457a2_row7_col850, #T_457a2_row7_col962, #T_457a2_row7_col1151, #T_457a2_row7_col1372, #T_457a2_row8_col300, #T_457a2_row8_col714, #T_457a2_row8_col1020, #T_457a2_row8_col1376, #T_457a2_row8_col1440, #T_457a2_row9_col327, #T_457a2_row9_col610, #T_457a2_row9_col1047, #T_457a2_row9_col1331, #T_457a2_row9_col1348, #T_457a2_row9_col1355, #T_457a2_row11_col107, #T_457a2_row11_col798, #T_457a2_row11_col827, #T_457a2_row12_col606, #T_457a2_row12_col1233, #T_457a2_row13_col405, #T_457a2_row13_col549, #T_457a2_row13_col1376, #T_457a2_row14_col1180, #T_457a2_row15_col234, #T_457a2_row15_col351, #T_457a2_row15_col538, #T_457a2_row15_col885, #T_457a2_row15_col954, #T_457a2_row15_col1028, #T_457a2_row15_col1190, #T_457a2_row15_col1263, #T_457a2_row15_col1274, #T_457a2_row15_col1399, #T_457a2_row17_col136, #T_457a2_row17_col185, #T_457a2_row17_col856, #T_457a2_row17_col905, #T_457a2_row17_col1055, #T_457a2_row17_col1158, #T_457a2_row17_col1409, #T_457a2_row18_col244, #T_457a2_row18_col964, #T_457a2_row18_col1287, #T_457a2_row18_col1380, #T_457a2_row19_col1222, #T_457a2_row19_col1309, #T_457a2_row19_col1371, #T_457a2_row19_col1411, #T_457a2_row20_col5, #T_457a2_row20_col38, #T_457a2_row20_col95, #T_457a2_row20_col725, #T_457a2_row20_col758, #T_457a2_row20_col815, #T_457a2_row20_col1016, #T_457a2_row20_col1177, #T_457a2_row20_col1363, #T_457a2_row21_col201, #T_457a2_row21_col396, #T_457a2_row21_col410, #T_457a2_row21_col896, #T_457a2_row21_col921, #T_457a2_row21_col1116, #T_457a2_row21_col1325, #T_457a2_row22_col1109, #T_457a2_row23_col1283, #T_457a2_row23_col1394 {\n",
       "  background-color: #056fae;\n",
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       "#T_457a2_row0_col49, #T_457a2_row0_col374, #T_457a2_row0_col375, #T_457a2_row0_col687, #T_457a2_row0_col769, #T_457a2_row0_col825, #T_457a2_row1_col175, #T_457a2_row1_col1142, #T_457a2_row1_col1311, #T_457a2_row2_col545, #T_457a2_row3_col5, #T_457a2_row3_col417, #T_457a2_row3_col654, #T_457a2_row3_col725, #T_457a2_row3_col991, #T_457a2_row3_col1145, #T_457a2_row5_col1205, #T_457a2_row7_col111, #T_457a2_row7_col280, #T_457a2_row7_col378, #T_457a2_row7_col831, #T_457a2_row7_col1000, #T_457a2_row7_col1056, #T_457a2_row7_col1390, #T_457a2_row8_col1226, #T_457a2_row9_col129, #T_457a2_row9_col255, #T_457a2_row9_col489, #T_457a2_row9_col849, #T_457a2_row9_col975, #T_457a2_row11_col373, #T_457a2_row12_col40, #T_457a2_row12_col53, #T_457a2_row12_col760, #T_457a2_row12_col773, #T_457a2_row13_col25, #T_457a2_row13_col388, #T_457a2_row13_col471, #T_457a2_row14_col711, #T_457a2_row15_col548, #T_457a2_row15_col995, #T_457a2_row15_col1018, #T_457a2_row15_col1212, #T_457a2_row15_col1351, #T_457a2_row15_col1352, #T_457a2_row15_col1420, #T_457a2_row16_col559, #T_457a2_row17_col234, #T_457a2_row17_col954, #T_457a2_row17_col1167, #T_457a2_row18_col380, #T_457a2_row18_col1301, #T_457a2_row20_col220, #T_457a2_row20_col940, #T_457a2_row20_col1141, #T_457a2_row20_col1394, #T_457a2_row21_col1396, #T_457a2_row23_col1195, #T_457a2_row24_col663, #T_457a2_row24_col1177 {\n",
       "  background-color: #034369;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col50, #T_457a2_row0_col104, #T_457a2_row0_col195, #T_457a2_row0_col239, #T_457a2_row0_col289, #T_457a2_row0_col408, #T_457a2_row0_col519, #T_457a2_row0_col682, #T_457a2_row0_col824, #T_457a2_row0_col915, #T_457a2_row0_col959, #T_457a2_row0_col1009, #T_457a2_row0_col1179, #T_457a2_row0_col1254, #T_457a2_row0_col1288, #T_457a2_row0_col1290, #T_457a2_row1_col137, #T_457a2_row1_col260, #T_457a2_row1_col583, #T_457a2_row1_col600, #T_457a2_row1_col651, #T_457a2_row1_col980, #T_457a2_row2_col200, #T_457a2_row2_col376, #T_457a2_row2_col920, #T_457a2_row2_col1300, #T_457a2_row2_col1304, #T_457a2_row2_col1411, #T_457a2_row3_col134, #T_457a2_row3_col150, #T_457a2_row3_col172, #T_457a2_row3_col190, #T_457a2_row3_col201, #T_457a2_row3_col296, #T_457a2_row3_col389, #T_457a2_row3_col525, #T_457a2_row3_col563, #T_457a2_row3_col612, #T_457a2_row3_col645, #T_457a2_row3_col833, #T_457a2_row3_col854, #T_457a2_row3_col870, #T_457a2_row3_col910, #T_457a2_row3_col921, #T_457a2_row3_col1016, #T_457a2_row3_col1348, #T_457a2_row3_col1367, #T_457a2_row4_col142, #T_457a2_row4_col172, #T_457a2_row4_col204, #T_457a2_row4_col523, #T_457a2_row4_col552, #T_457a2_row4_col696, #T_457a2_row4_col892, #T_457a2_row4_col924, #T_457a2_row4_col1096, #T_457a2_row5_col155, #T_457a2_row5_col639, #T_457a2_row5_col778, #T_457a2_row5_col1153, #T_457a2_row5_col1228, #T_457a2_row5_col1289, #T_457a2_row6_col1093, #T_457a2_row6_col1199, #T_457a2_row6_col1214, #T_457a2_row6_col1285, #T_457a2_row6_col1409, #T_457a2_row7_col25, #T_457a2_row7_col71, #T_457a2_row7_col571, #T_457a2_row7_col745, #T_457a2_row7_col791, #T_457a2_row7_col1369, #T_457a2_row8_col616, #T_457a2_row8_col1087, #T_457a2_row8_col1369, #T_457a2_row9_col252, #T_457a2_row9_col1154, #T_457a2_row9_col1302, #T_457a2_row10_col4, #T_457a2_row10_col187, #T_457a2_row10_col188, #T_457a2_row10_col201, #T_457a2_row10_col303, #T_457a2_row10_col360, #T_457a2_row10_col650, #T_457a2_row10_col724, #T_457a2_row10_col795, #T_457a2_row10_col830, #T_457a2_row10_col907, #T_457a2_row10_col908, #T_457a2_row10_col921, #T_457a2_row10_col1023, #T_457a2_row10_col1080, #T_457a2_row10_col1122, #T_457a2_row10_col1235, #T_457a2_row11_col60, #T_457a2_row11_col180, #T_457a2_row11_col199, #T_457a2_row11_col203, #T_457a2_row11_col311, #T_457a2_row11_col606, #T_457a2_row11_col617, #T_457a2_row11_col900, #T_457a2_row11_col954, #T_457a2_row11_col1031, #T_457a2_row11_col1378, #T_457a2_row11_col1409, #T_457a2_row12_col48, #T_457a2_row12_col180, #T_457a2_row12_col248, #T_457a2_row12_col619, #T_457a2_row12_col768, #T_457a2_row12_col900, #T_457a2_row12_col936, #T_457a2_row12_col968, #T_457a2_row12_col1005, #T_457a2_row12_col1288, #T_457a2_row12_col1337, #T_457a2_row12_col1430, #T_457a2_row13_col254, #T_457a2_row13_col663, #T_457a2_row13_col779, #T_457a2_row13_col974, #T_457a2_row13_col1182, #T_457a2_row14_col531, #T_457a2_row14_col1182, #T_457a2_row14_col1235, #T_457a2_row15_col27, #T_457a2_row15_col78, #T_457a2_row15_col260, #T_457a2_row15_col441, #T_457a2_row15_col551, #T_457a2_row15_col704, #T_457a2_row15_col719, #T_457a2_row15_col980, #T_457a2_row15_col1251, #T_457a2_row16_col42, #T_457a2_row16_col442, #T_457a2_row16_col602, #T_457a2_row16_col653, #T_457a2_row16_col762, #T_457a2_row16_col842, #T_457a2_row17_col180, #T_457a2_row17_col290, #T_457a2_row17_col347, #T_457a2_row17_col442, #T_457a2_row17_col900, #T_457a2_row17_col1010, #T_457a2_row17_col1299, #T_457a2_row18_col175, #T_457a2_row18_col233, #T_457a2_row18_col490, #T_457a2_row18_col665, #T_457a2_row18_col895, #T_457a2_row18_col953, #T_457a2_row18_col1251, #T_457a2_row19_col76, #T_457a2_row19_col454, #T_457a2_row19_col796, #T_457a2_row19_col887, #T_457a2_row19_col1074, #T_457a2_row19_col1403, #T_457a2_row19_col1437, #T_457a2_row20_col33, #T_457a2_row20_col302, #T_457a2_row20_col321, #T_457a2_row20_col464, #T_457a2_row20_col712, #T_457a2_row20_col753, #T_457a2_row20_col1022, #T_457a2_row20_col1041, #T_457a2_row20_col1158, #T_457a2_row20_col1239, #T_457a2_row20_col1266, #T_457a2_row20_col1278, #T_457a2_row20_col1322, #T_457a2_row20_col1339, #T_457a2_row21_col23, #T_457a2_row21_col278, #T_457a2_row21_col304, #T_457a2_row21_col397, #T_457a2_row21_col998, #T_457a2_row21_col1024, #T_457a2_row21_col1107, #T_457a2_row21_col1138, #T_457a2_row21_col1322, #T_457a2_row22_col332, #T_457a2_row22_col555, #T_457a2_row22_col1052, #T_457a2_row23_col64, #T_457a2_row23_col259, #T_457a2_row23_col294, #T_457a2_row23_col427, #T_457a2_row23_col784, #T_457a2_row23_col1014, #T_457a2_row23_col1284, #T_457a2_row23_col1295, #T_457a2_row24_col346, #T_457a2_row24_col1066, #T_457a2_row24_col1080 {\n",
       "  background-color: #4e9ac6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col53, #T_457a2_row0_col76, #T_457a2_row0_col197, #T_457a2_row0_col234, #T_457a2_row0_col426, #T_457a2_row0_col532, #T_457a2_row0_col552, #T_457a2_row0_col719, #T_457a2_row0_col773, #T_457a2_row0_col796, #T_457a2_row0_col954, #T_457a2_row0_col1132, #T_457a2_row0_col1150, #T_457a2_row0_col1198, #T_457a2_row0_col1315, #T_457a2_row1_col88, #T_457a2_row1_col246, #T_457a2_row1_col296, #T_457a2_row1_col590, #T_457a2_row1_col808, #T_457a2_row1_col966, #T_457a2_row2_col83, #T_457a2_row2_col182, #T_457a2_row2_col242, #T_457a2_row2_col474, #T_457a2_row2_col758, #T_457a2_row2_col803, #T_457a2_row2_col902, #T_457a2_row2_col962, #T_457a2_row2_col1302, #T_457a2_row2_col1328, #T_457a2_row2_col1352, #T_457a2_row3_col147, #T_457a2_row3_col197, #T_457a2_row3_col203, #T_457a2_row3_col272, #T_457a2_row3_col291, #T_457a2_row3_col867, #T_457a2_row3_col917, #T_457a2_row3_col923, #T_457a2_row3_col992, #T_457a2_row3_col1220, #T_457a2_row3_col1230, #T_457a2_row4_col244, #T_457a2_row4_col723, #T_457a2_row4_col942, #T_457a2_row4_col1405, #T_457a2_row5_col1129, #T_457a2_row5_col1284, #T_457a2_row5_col1317, #T_457a2_row6_col314, #T_457a2_row6_col352, #T_457a2_row6_col453, #T_457a2_row6_col1034, #T_457a2_row6_col1072, #T_457a2_row7_col188, #T_457a2_row7_col216, #T_457a2_row7_col300, #T_457a2_row7_col341, #T_457a2_row7_col908, #T_457a2_row7_col936, #T_457a2_row7_col1020, #T_457a2_row7_col1061, #T_457a2_row8_col679, #T_457a2_row8_col1091, #T_457a2_row8_col1154, #T_457a2_row8_col1164, #T_457a2_row8_col1280, #T_457a2_row8_col1311, #T_457a2_row9_col421, #T_457a2_row9_col494, #T_457a2_row9_col1153, #T_457a2_row9_col1318, #T_457a2_row10_col888, #T_457a2_row11_col222, #T_457a2_row11_col336, #T_457a2_row11_col781, #T_457a2_row11_col942, #T_457a2_row12_col80, #T_457a2_row12_col92, #T_457a2_row12_col187, #T_457a2_row12_col361, #T_457a2_row12_col800, #T_457a2_row12_col869, #T_457a2_row12_col907, #T_457a2_row12_col1019, #T_457a2_row12_col1081, #T_457a2_row12_col1322, #T_457a2_row12_col1391, #T_457a2_row13_col91, #T_457a2_row13_col97, #T_457a2_row13_col125, #T_457a2_row13_col400, #T_457a2_row13_col402, #T_457a2_row13_col432, #T_457a2_row13_col437, #T_457a2_row13_col677, #T_457a2_row13_col811, #T_457a2_row13_col812, #T_457a2_row13_col845, #T_457a2_row13_col1071, #T_457a2_row13_col1083, #T_457a2_row14_col689, #T_457a2_row14_col1142, #T_457a2_row14_col1200, #T_457a2_row14_col1255, #T_457a2_row14_col1276, #T_457a2_row15_col228, #T_457a2_row15_col948, #T_457a2_row15_col1174, #T_457a2_row15_col1175, #T_457a2_row15_col1210, #T_457a2_row15_col1315, #T_457a2_row15_col1332, #T_457a2_row15_col1436, #T_457a2_row17_col93, #T_457a2_row17_col95, #T_457a2_row17_col355, #T_457a2_row17_col542, #T_457a2_row17_col623, #T_457a2_row17_col627, #T_457a2_row17_col630, #T_457a2_row17_col768, #T_457a2_row17_col802, #T_457a2_row17_col813, #T_457a2_row17_col815, #T_457a2_row18_col456, #T_457a2_row18_col694, #T_457a2_row18_col1323, #T_457a2_row18_col1325, #T_457a2_row18_col1428, #T_457a2_row19_col1150, #T_457a2_row19_col1237, #T_457a2_row20_col851, #T_457a2_row20_col862, #T_457a2_row20_col1226, #T_457a2_row20_col1270, #T_457a2_row20_col1337, #T_457a2_row20_col1395, #T_457a2_row20_col1417, #T_457a2_row21_col110, #T_457a2_row21_col363, #T_457a2_row21_col638, #T_457a2_row21_col830, #T_457a2_row22_col1198, #T_457a2_row24_col139, #T_457a2_row24_col254, #T_457a2_row24_col733, #T_457a2_row24_col859, #T_457a2_row24_col974 {\n",
       "  background-color: #157ab5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col54, #T_457a2_row0_col498, #T_457a2_row0_col628, #T_457a2_row0_col774, #T_457a2_row0_col1155, #T_457a2_row1_col553, #T_457a2_row1_col623, #T_457a2_row2_col217, #T_457a2_row2_col250, #T_457a2_row2_col937, #T_457a2_row2_col970, #T_457a2_row2_col1073, #T_457a2_row2_col1158, #T_457a2_row2_col1384, #T_457a2_row3_col146, #T_457a2_row3_col280, #T_457a2_row3_col332, #T_457a2_row3_col351, #T_457a2_row3_col653, #T_457a2_row3_col866, #T_457a2_row3_col1000, #T_457a2_row3_col1052, #T_457a2_row3_col1071, #T_457a2_row4_col638, #T_457a2_row4_col793, #T_457a2_row4_col1138, #T_457a2_row4_col1395, #T_457a2_row5_col246, #T_457a2_row5_col265, #T_457a2_row5_col370, #T_457a2_row5_col409, #T_457a2_row5_col642, #T_457a2_row5_col966, #T_457a2_row5_col985, #T_457a2_row5_col1354, #T_457a2_row6_col241, #T_457a2_row6_col243, #T_457a2_row6_col296, #T_457a2_row6_col492, #T_457a2_row6_col521, #T_457a2_row6_col568, #T_457a2_row6_col1261, #T_457a2_row7_col1427, #T_457a2_row8_col384, #T_457a2_row8_col492, #T_457a2_row8_col789, #T_457a2_row8_col1255, #T_457a2_row8_col1309, #T_457a2_row9_col140, #T_457a2_row9_col165, #T_457a2_row9_col860, #T_457a2_row9_col1182, #T_457a2_row9_col1338, #T_457a2_row10_col692, #T_457a2_row10_col695, #T_457a2_row10_col1005, #T_457a2_row10_col1094, #T_457a2_row10_col1243, #T_457a2_row10_col1265, #T_457a2_row11_col35, #T_457a2_row11_col38, #T_457a2_row11_col365, #T_457a2_row11_col441, #T_457a2_row11_col548, #T_457a2_row11_col671, #T_457a2_row11_col758, #T_457a2_row11_col982, #T_457a2_row11_col1306, #T_457a2_row11_col1307, #T_457a2_row12_col364, #T_457a2_row12_col690, #T_457a2_row12_col1164, #T_457a2_row13_col614, #T_457a2_row13_col1276, #T_457a2_row14_col291, #T_457a2_row14_col326, #T_457a2_row14_col385, #T_457a2_row14_col477, #T_457a2_row14_col685, #T_457a2_row14_col708, #T_457a2_row14_col969, #T_457a2_row14_col1011, #T_457a2_row14_col1046, #T_457a2_row15_col8, #T_457a2_row15_col338, #T_457a2_row15_col401, #T_457a2_row15_col1058, #T_457a2_row15_col1359, #T_457a2_row16_col182, #T_457a2_row16_col295, #T_457a2_row16_col315, #T_457a2_row16_col902, #T_457a2_row16_col1015, #T_457a2_row16_col1035, #T_457a2_row16_col1153, #T_457a2_row16_col1299, #T_457a2_row16_col1300, #T_457a2_row16_col1316, #T_457a2_row17_col135, #T_457a2_row17_col352, #T_457a2_row17_col564, #T_457a2_row17_col585, #T_457a2_row17_col855, #T_457a2_row17_col1072, #T_457a2_row17_col1097, #T_457a2_row17_col1334, #T_457a2_row18_col74, #T_457a2_row18_col86, #T_457a2_row18_col252, #T_457a2_row18_col341, #T_457a2_row18_col394, #T_457a2_row18_col481, #T_457a2_row18_col493, #T_457a2_row18_col521, #T_457a2_row18_col591, #T_457a2_row18_col602, #T_457a2_row18_col614, #T_457a2_row18_col794, #T_457a2_row18_col806, #T_457a2_row18_col972, #T_457a2_row18_col1061, #T_457a2_row18_col1169, #T_457a2_row18_col1314, #T_457a2_row19_col29, #T_457a2_row19_col196, #T_457a2_row19_col265, #T_457a2_row19_col294, #T_457a2_row19_col538, #T_457a2_row19_col604, #T_457a2_row19_col749, #T_457a2_row19_col985, #T_457a2_row19_col1014, #T_457a2_row19_col1198, #T_457a2_row19_col1443, #T_457a2_row20_col15, #T_457a2_row20_col159, #T_457a2_row20_col205, #T_457a2_row20_col587, #T_457a2_row20_col735, #T_457a2_row20_col925, #T_457a2_row20_col1060, #T_457a2_row20_col1398, #T_457a2_row21_col116, #T_457a2_row21_col328, #T_457a2_row21_col405, #T_457a2_row21_col587, #T_457a2_row21_col654, #T_457a2_row21_col688, #T_457a2_row21_col748, #T_457a2_row21_col963, #T_457a2_row21_col1048, #T_457a2_row21_col1114, #T_457a2_row21_col1117, #T_457a2_row21_col1255, #T_457a2_row22_col197, #T_457a2_row22_col400, #T_457a2_row22_col428, #T_457a2_row22_col490, #T_457a2_row22_col942, #T_457a2_row23_col2, #T_457a2_row23_col232, #T_457a2_row23_col404, #T_457a2_row23_col461, #T_457a2_row24_col130, #T_457a2_row24_col156, #T_457a2_row24_col308, #T_457a2_row24_col500, #T_457a2_row24_col515, #T_457a2_row24_col565, #T_457a2_row24_col675, #T_457a2_row24_col850, #T_457a2_row24_col876, #T_457a2_row24_col1028, #T_457a2_row24_col1065, #T_457a2_row24_col1368, #T_457a2_row24_col1420 {\n",
       "  background-color: #a7bddb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col55, #T_457a2_row0_col295, #T_457a2_row0_col307, #T_457a2_row0_col449, #T_457a2_row0_col775, #T_457a2_row0_col917, #T_457a2_row0_col1015, #T_457a2_row1_col18, #T_457a2_row1_col641, #T_457a2_row1_col660, #T_457a2_row1_col738, #T_457a2_row1_col1161, #T_457a2_row1_col1249, #T_457a2_row1_col1368, #T_457a2_row2_col544, #T_457a2_row2_col800, #T_457a2_row2_col1363, #T_457a2_row2_col1402, #T_457a2_row3_col46, #T_457a2_row3_col160, #T_457a2_row3_col535, #T_457a2_row3_col766, #T_457a2_row3_col880, #T_457a2_row3_col1115, #T_457a2_row3_col1352, #T_457a2_row4_col373, #T_457a2_row4_col430, #T_457a2_row4_col568, #T_457a2_row4_col964, #T_457a2_row4_col1108, #T_457a2_row5_col511, #T_457a2_row5_col521, #T_457a2_row5_col710, #T_457a2_row6_col27, #T_457a2_row6_col69, #T_457a2_row7_col21, #T_457a2_row7_col233, #T_457a2_row7_col266, #T_457a2_row7_col610, #T_457a2_row7_col741, #T_457a2_row7_col953, #T_457a2_row7_col986, #T_457a2_row7_col1287, #T_457a2_row7_col1330, #T_457a2_row7_col1440, #T_457a2_row8_col433, #T_457a2_row8_col1113, #T_457a2_row8_col1146, #T_457a2_row8_col1341, #T_457a2_row9_col1247, #T_457a2_row9_col1249, #T_457a2_row10_col545, #T_457a2_row11_col584, #T_457a2_row11_col715, #T_457a2_row12_col76, #T_457a2_row12_col138, #T_457a2_row12_col149, #T_457a2_row12_col299, #T_457a2_row12_col329, #T_457a2_row12_col796, #T_457a2_row12_col812, #T_457a2_row12_col1049, #T_457a2_row12_col1205, #T_457a2_row13_col156, #T_457a2_row13_col351, #T_457a2_row13_col817, #T_457a2_row13_col876, #T_457a2_row13_col939, #T_457a2_row14_col455, #T_457a2_row14_col1225, #T_457a2_row15_col136, #T_457a2_row15_col587, #T_457a2_row15_col665, #T_457a2_row15_col856, #T_457a2_row15_col1223, #T_457a2_row15_col1381, #T_457a2_row15_col1437, #T_457a2_row16_col255, #T_457a2_row16_col1375, #T_457a2_row16_col1406, #T_457a2_row17_col604, #T_457a2_row17_col634, #T_457a2_row17_col1135, #T_457a2_row17_col1230, #T_457a2_row17_col1378, #T_457a2_row17_col1433, #T_457a2_row18_col91, #T_457a2_row18_col512, #T_457a2_row18_col654, #T_457a2_row18_col708, #T_457a2_row18_col811, #T_457a2_row18_col1333, #T_457a2_row19_col527, #T_457a2_row19_col1134, #T_457a2_row19_col1313, #T_457a2_row19_col1394, #T_457a2_row19_col1413, #T_457a2_row20_col142, #T_457a2_row20_col584, #T_457a2_row20_col1197, #T_457a2_row20_col1357, #T_457a2_row20_col1382, #T_457a2_row21_col374, #T_457a2_row21_col1083, #T_457a2_row21_col1268, #T_457a2_row21_col1424, #T_457a2_row21_col1433, #T_457a2_row22_col184, #T_457a2_row22_col904, #T_457a2_row23_col674, #T_457a2_row23_col1259, #T_457a2_row24_col13, #T_457a2_row24_col16, #T_457a2_row24_col140, #T_457a2_row24_col282, #T_457a2_row24_col860, #T_457a2_row24_col1432 {\n",
       "  background-color: #1379b5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col56, #T_457a2_row0_col383, #T_457a2_row0_col444, #T_457a2_row0_col457, #T_457a2_row0_col776, #T_457a2_row0_col1113, #T_457a2_row0_col1152, #T_457a2_row0_col1212, #T_457a2_row0_col1420, #T_457a2_row1_col334, #T_457a2_row1_col366, #T_457a2_row1_col1054, #T_457a2_row1_col1063, #T_457a2_row2_col35, #T_457a2_row2_col48, #T_457a2_row2_col259, #T_457a2_row2_col432, #T_457a2_row2_col591, #T_457a2_row2_col658, #T_457a2_row2_col979, #T_457a2_row2_col1077, #T_457a2_row2_col1296, #T_457a2_row2_col1333, #T_457a2_row2_col1399, #T_457a2_row3_col73, #T_457a2_row3_col235, #T_457a2_row3_col275, #T_457a2_row3_col371, #T_457a2_row3_col536, #T_457a2_row3_col682, #T_457a2_row3_col793, #T_457a2_row3_col955, #T_457a2_row3_col995, #T_457a2_row3_col1118, #T_457a2_row3_col1338, #T_457a2_row3_col1406, #T_457a2_row4_col141, #T_457a2_row4_col582, #T_457a2_row4_col861, #T_457a2_row4_col1425, #T_457a2_row5_col99, #T_457a2_row5_col402, #T_457a2_row5_col637, #T_457a2_row5_col814, #T_457a2_row5_col819, #T_457a2_row5_col1115, #T_457a2_row5_col1149, #T_457a2_row5_col1246, #T_457a2_row5_col1296, #T_457a2_row5_col1439, #T_457a2_row6_col90, #T_457a2_row6_col346, #T_457a2_row6_col810, #T_457a2_row6_col1378, #T_457a2_row6_col1424, #T_457a2_row7_col575, #T_457a2_row7_col597, #T_457a2_row7_col1349, #T_457a2_row8_col160, #T_457a2_row8_col268, #T_457a2_row8_col438, #T_457a2_row8_col613, #T_457a2_row8_col880, #T_457a2_row8_col988, #T_457a2_row8_col1190, #T_457a2_row9_col196, #T_457a2_row9_col341, #T_457a2_row9_col347, #T_457a2_row9_col475, #T_457a2_row9_col709, #T_457a2_row9_col916, #T_457a2_row9_col1061, #T_457a2_row9_col1067, #T_457a2_row9_col1269, #T_457a2_row10_col204, #T_457a2_row10_col339, #T_457a2_row10_col1026, #T_457a2_row10_col1257, #T_457a2_row10_col1279, #T_457a2_row11_col51, #T_457a2_row11_col109, #T_457a2_row11_col537, #T_457a2_row11_col696, #T_457a2_row11_col771, #T_457a2_row11_col829, #T_457a2_row11_col1021, #T_457a2_row11_col1181, #T_457a2_row12_col232, #T_457a2_row12_col417, #T_457a2_row12_col459, #T_457a2_row12_col465, #T_457a2_row12_col518, #T_457a2_row12_col620, #T_457a2_row12_col686, #T_457a2_row12_col952, #T_457a2_row12_col1115, #T_457a2_row12_col1186, #T_457a2_row12_col1219, #T_457a2_row13_col414, #T_457a2_row13_col1005, #T_457a2_row13_col1242, #T_457a2_row13_col1357, #T_457a2_row14_col587, #T_457a2_row15_col138, #T_457a2_row15_col221, #T_457a2_row15_col273, #T_457a2_row15_col319, #T_457a2_row15_col607, #T_457a2_row15_col677, #T_457a2_row15_col693, #T_457a2_row15_col858, #T_457a2_row15_col941, #T_457a2_row15_col993, #T_457a2_row15_col1039, #T_457a2_row16_col107, #T_457a2_row16_col511, #T_457a2_row16_col747, #T_457a2_row16_col1013, #T_457a2_row16_col1164, #T_457a2_row16_col1197, #T_457a2_row16_col1304, #T_457a2_row17_col156, #T_457a2_row17_col401, #T_457a2_row17_col426, #T_457a2_row17_col572, #T_457a2_row17_col586, #T_457a2_row17_col618, #T_457a2_row17_col662, #T_457a2_row17_col672, #T_457a2_row17_col701, #T_457a2_row17_col731, #T_457a2_row17_col876, #T_457a2_row17_col1021, #T_457a2_row17_col1180, #T_457a2_row17_col1278, #T_457a2_row18_col107, #T_457a2_row18_col179, #T_457a2_row18_col435, #T_457a2_row18_col467, #T_457a2_row18_col670, #T_457a2_row18_col696, #T_457a2_row18_col1228, #T_457a2_row18_col1258, #T_457a2_row19_col23, #T_457a2_row19_col278, #T_457a2_row19_col329, #T_457a2_row19_col339, #T_457a2_row19_col743, #T_457a2_row19_col925, #T_457a2_row19_col998, #T_457a2_row19_col1049, #T_457a2_row19_col1059, #T_457a2_row19_col1193, #T_457a2_row19_col1442, #T_457a2_row20_col26, #T_457a2_row20_col137, #T_457a2_row20_col716, #T_457a2_row20_col857, #T_457a2_row21_col173, #T_457a2_row21_col387, #T_457a2_row21_col583, #T_457a2_row21_col848, #T_457a2_row21_col1119, #T_457a2_row21_col1254, #T_457a2_row22_col351, #T_457a2_row22_col358, #T_457a2_row22_col938, #T_457a2_row22_col1031, #T_457a2_row22_col1071, #T_457a2_row22_col1078, #T_457a2_row22_col1343, #T_457a2_row23_col146, #T_457a2_row23_col286, #T_457a2_row23_col656, #T_457a2_row23_col844, #T_457a2_row23_col866, #T_457a2_row23_col1006, #T_457a2_row23_col1172, #T_457a2_row23_col1343, #T_457a2_row24_col145, #T_457a2_row24_col300, #T_457a2_row24_col497, #T_457a2_row24_col549, #T_457a2_row24_col1020, #T_457a2_row24_col1259 {\n",
       "  background-color: #79abd0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col58, #T_457a2_row0_col105, #T_457a2_row0_col618, #T_457a2_row0_col778, #T_457a2_row2_col1099, #T_457a2_row3_col74, #T_457a2_row3_col544, #T_457a2_row3_col557, #T_457a2_row3_col794, #T_457a2_row3_col1174, #T_457a2_row4_col52, #T_457a2_row4_col178, #T_457a2_row4_col284, #T_457a2_row4_col387, #T_457a2_row4_col534, #T_457a2_row4_col772, #T_457a2_row4_col1004, #T_457a2_row5_col1119, #T_457a2_row6_col125, #T_457a2_row6_col845, #T_457a2_row7_col295, #T_457a2_row7_col512, #T_457a2_row7_col609, #T_457a2_row7_col674, #T_457a2_row7_col1015, #T_457a2_row7_col1302, #T_457a2_row7_col1336, #T_457a2_row7_col1402, #T_457a2_row7_col1435, #T_457a2_row8_col1129, #T_457a2_row12_col1317, #T_457a2_row13_col130, #T_457a2_row13_col843, #T_457a2_row13_col850, #T_457a2_row13_col883, #T_457a2_row14_col1288, #T_457a2_row14_col1349, #T_457a2_row14_col1383, #T_457a2_row14_col1409, #T_457a2_row15_col22, #T_457a2_row15_col742, #T_457a2_row15_col1100, #T_457a2_row15_col1273, #T_457a2_row15_col1386, #T_457a2_row17_col105, #T_457a2_row17_col825, #T_457a2_row19_col521, #T_457a2_row19_col1415, #T_457a2_row20_col666, #T_457a2_row22_col1275 {\n",
       "  background-color: #034165;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col62, #T_457a2_row0_col108, #T_457a2_row0_col782, #T_457a2_row0_col828, #T_457a2_row1_col73, #T_457a2_row1_col135, #T_457a2_row1_col172, #T_457a2_row1_col536, #T_457a2_row1_col793, #T_457a2_row1_col843, #T_457a2_row1_col855, #T_457a2_row1_col892, #T_457a2_row1_col1149, #T_457a2_row2_col106, #T_457a2_row2_col221, #T_457a2_row2_col223, #T_457a2_row2_col618, #T_457a2_row2_col826, #T_457a2_row2_col941, #T_457a2_row2_col943, #T_457a2_row2_col1126, #T_457a2_row2_col1208, #T_457a2_row2_col1353, #T_457a2_row3_col298, #T_457a2_row3_col319, #T_457a2_row3_col421, #T_457a2_row3_col479, #T_457a2_row3_col603, #T_457a2_row3_col1039, #T_457a2_row3_col1383, #T_457a2_row3_col1387, #T_457a2_row4_col22, #T_457a2_row4_col458, #T_457a2_row4_col1098, #T_457a2_row4_col1195, #T_457a2_row4_col1221, #T_457a2_row4_col1230, #T_457a2_row5_col115, #T_457a2_row5_col142, #T_457a2_row5_col181, #T_457a2_row5_col373, #T_457a2_row5_col438, #T_457a2_row5_col835, #T_457a2_row5_col862, #T_457a2_row5_col901, #T_457a2_row5_col1083, #T_457a2_row5_col1253, #T_457a2_row6_col19, #T_457a2_row6_col98, #T_457a2_row6_col107, #T_457a2_row6_col196, #T_457a2_row6_col263, #T_457a2_row6_col351, #T_457a2_row6_col440, #T_457a2_row6_col480, #T_457a2_row6_col637, #T_457a2_row6_col656, #T_457a2_row6_col690, #T_457a2_row6_col818, #T_457a2_row6_col827, #T_457a2_row6_col1192, #T_457a2_row8_col104, #T_457a2_row8_col140, #T_457a2_row8_col412, #T_457a2_row8_col676, #T_457a2_row8_col678, #T_457a2_row8_col860, #T_457a2_row8_col1031, #T_457a2_row8_col1279, #T_457a2_row8_col1365, #T_457a2_row9_col334, #T_457a2_row9_col368, #T_457a2_row9_col536, #T_457a2_row9_col672, #T_457a2_row9_col1054, #T_457a2_row9_col1245, #T_457a2_row9_col1315, #T_457a2_row9_col1365, #T_457a2_row10_col119, #T_457a2_row10_col166, #T_457a2_row10_col191, #T_457a2_row10_col245, #T_457a2_row10_col292, #T_457a2_row10_col642, #T_457a2_row10_col673, #T_457a2_row10_col839, #T_457a2_row10_col879, #T_457a2_row10_col886, #T_457a2_row10_col911, #T_457a2_row10_col1012, #T_457a2_row10_col1242, #T_457a2_row10_col1362, #T_457a2_row11_col250, #T_457a2_row11_col506, #T_457a2_row11_col527, #T_457a2_row11_col528, #T_457a2_row11_col582, #T_457a2_row11_col884, #T_457a2_row11_col891, #T_457a2_row11_col970, #T_457a2_row11_col1190, #T_457a2_row11_col1228, #T_457a2_row12_col26, #T_457a2_row12_col472, #T_457a2_row12_col671, #T_457a2_row12_col925, #T_457a2_row12_col1195, #T_457a2_row12_col1324, #T_457a2_row13_col263, #T_457a2_row13_col1263, #T_457a2_row14_col184, #T_457a2_row14_col369, #T_457a2_row14_col426, #T_457a2_row14_col635, #T_457a2_row14_col712, #T_457a2_row14_col904, #T_457a2_row15_col232, #T_457a2_row15_col352, #T_457a2_row15_col502, #T_457a2_row15_col1072, #T_457a2_row15_col1248, #T_457a2_row15_col1438, #T_457a2_row16_col70, #T_457a2_row16_col710, #T_457a2_row16_col790, #T_457a2_row16_col1126, #T_457a2_row16_col1356, #T_457a2_row17_col164, #T_457a2_row17_col392, #T_457a2_row17_col403, #T_457a2_row17_col884, #T_457a2_row17_col1130, #T_457a2_row17_col1151, #T_457a2_row18_col65, #T_457a2_row18_col182, #T_457a2_row18_col239, #T_457a2_row18_col270, #T_457a2_row18_col401, #T_457a2_row18_col420, #T_457a2_row18_col453, #T_457a2_row18_col520, #T_457a2_row18_col580, #T_457a2_row18_col685, #T_457a2_row18_col693, #T_457a2_row18_col785, #T_457a2_row18_col800, #T_457a2_row18_col879, #T_457a2_row18_col902, #T_457a2_row18_col959, #T_457a2_row18_col990, #T_457a2_row18_col1151, #T_457a2_row18_col1346, #T_457a2_row19_col97, #T_457a2_row19_col203, #T_457a2_row19_col817, #T_457a2_row19_col1144, #T_457a2_row19_col1215, #T_457a2_row19_col1272, #T_457a2_row20_col460, #T_457a2_row20_col565, #T_457a2_row20_col643, #T_457a2_row20_col670, #T_457a2_row20_col923, #T_457a2_row20_col1305, #T_457a2_row21_col129, #T_457a2_row21_col166, #T_457a2_row21_col245, #T_457a2_row21_col253, #T_457a2_row21_col312, #T_457a2_row21_col631, #T_457a2_row21_col714, #T_457a2_row21_col886, #T_457a2_row21_col965, #T_457a2_row21_col973, #T_457a2_row21_col1032, #T_457a2_row22_col226, #T_457a2_row22_col324, #T_457a2_row22_col685, #T_457a2_row22_col946, #T_457a2_row22_col1044, #T_457a2_row22_col1244, #T_457a2_row22_col1409, #T_457a2_row23_col6, #T_457a2_row23_col50, #T_457a2_row23_col568, #T_457a2_row23_col691, #T_457a2_row23_col726, #T_457a2_row23_col770, #T_457a2_row23_col788, #T_457a2_row23_col1145, #T_457a2_row23_col1183, #T_457a2_row23_col1319, #T_457a2_row24_col257, #T_457a2_row24_col313, #T_457a2_row24_col351, #T_457a2_row24_col821, #T_457a2_row24_col977, #T_457a2_row24_col1012, #T_457a2_row24_col1033, #T_457a2_row24_col1071, #T_457a2_row24_col1123 {\n",
       "  background-color: #a2bcda;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col63, #T_457a2_row0_col212, #T_457a2_row0_col396, #T_457a2_row0_col490, #T_457a2_row0_col554, #T_457a2_row0_col783, #T_457a2_row1_col183, #T_457a2_row1_col216, #T_457a2_row1_col659, #T_457a2_row1_col903, #T_457a2_row1_col1187, #T_457a2_row2_col135, #T_457a2_row2_col155, #T_457a2_row2_col348, #T_457a2_row2_col589, #T_457a2_row2_col595, #T_457a2_row2_col611, #T_457a2_row2_col855, #T_457a2_row2_col875, #T_457a2_row2_col1068, #T_457a2_row3_col198, #T_457a2_row3_col241, #T_457a2_row3_col326, #T_457a2_row3_col918, #T_457a2_row3_col961, #T_457a2_row3_col1046, #T_457a2_row3_col1236, #T_457a2_row4_col476, #T_457a2_row4_col541, #T_457a2_row4_col644, #T_457a2_row4_col693, #T_457a2_row4_col1302, #T_457a2_row5_col786, #T_457a2_row6_col109, #T_457a2_row6_col179, #T_457a2_row6_col251, #T_457a2_row6_col354, #T_457a2_row6_col408, #T_457a2_row6_col899, #T_457a2_row6_col971, #T_457a2_row6_col1074, #T_457a2_row6_col1079, #T_457a2_row6_col1395, #T_457a2_row6_col1435, #T_457a2_row7_col16, #T_457a2_row7_col24, #T_457a2_row7_col125, #T_457a2_row7_col624, #T_457a2_row7_col736, #T_457a2_row7_col744, #T_457a2_row7_col845, #T_457a2_row8_col441, #T_457a2_row8_col671, #T_457a2_row8_col1240, #T_457a2_row8_col1283, #T_457a2_row9_col93, #T_457a2_row9_col373, #T_457a2_row9_col813, #T_457a2_row9_col966, #T_457a2_row9_col1222, #T_457a2_row9_col1240, #T_457a2_row9_col1339, #T_457a2_row10_col35, #T_457a2_row10_col755, #T_457a2_row10_col1210, #T_457a2_row10_col1333, #T_457a2_row10_col1390, #T_457a2_row11_col198, #T_457a2_row11_col379, #T_457a2_row11_col553, #T_457a2_row11_col918, #T_457a2_row12_col226, #T_457a2_row12_col391, #T_457a2_row12_col532, #T_457a2_row12_col552, #T_457a2_row12_col946, #T_457a2_row12_col1106, #T_457a2_row12_col1160, #T_457a2_row12_col1212, #T_457a2_row13_col450, #T_457a2_row13_col626, #T_457a2_row13_col767, #T_457a2_row13_col769, #T_457a2_row13_col1233, #T_457a2_row14_col384, #T_457a2_row14_col503, #T_457a2_row15_col181, #T_457a2_row15_col194, #T_457a2_row15_col242, #T_457a2_row15_col443, #T_457a2_row15_col835, #T_457a2_row15_col962, #T_457a2_row15_col1075, #T_457a2_row15_col1183, #T_457a2_row16_col10, #T_457a2_row16_col204, #T_457a2_row16_col725, #T_457a2_row16_col1179, #T_457a2_row16_col1408, #T_457a2_row16_col1419, #T_457a2_row16_col1436, #T_457a2_row17_col88, #T_457a2_row17_col645, #T_457a2_row17_col1209, #T_457a2_row17_col1302, #T_457a2_row17_col1316, #T_457a2_row17_col1350, #T_457a2_row18_col262, #T_457a2_row18_col524, #T_457a2_row18_col593, #T_457a2_row18_col613, #T_457a2_row18_col615, #T_457a2_row18_col628, #T_457a2_row18_col635, #T_457a2_row18_col941, #T_457a2_row18_col1094, #T_457a2_row18_col1161, #T_457a2_row19_col274, #T_457a2_row19_col465, #T_457a2_row19_col572, #T_457a2_row19_col994, #T_457a2_row19_col1214, #T_457a2_row19_col1274, #T_457a2_row19_col1321, #T_457a2_row19_col1325, #T_457a2_row19_col1334, #T_457a2_row20_col689, #T_457a2_row20_col1092, #T_457a2_row20_col1164, #T_457a2_row20_col1210, #T_457a2_row20_col1225, #T_457a2_row20_col1306, #T_457a2_row20_col1340, #T_457a2_row21_col762, #T_457a2_row21_col1007, #T_457a2_row21_col1088, #T_457a2_row21_col1149, #T_457a2_row21_col1158, #T_457a2_row21_col1415, #T_457a2_row22_col153, #T_457a2_row22_col512, #T_457a2_row22_col545, #T_457a2_row22_col820, #T_457a2_row22_col873, #T_457a2_row22_col1005, #T_457a2_row22_col1086, #T_457a2_row22_col1184, #T_457a2_row22_col1314, #T_457a2_row22_col1440, #T_457a2_row23_col16, #T_457a2_row23_col272, #T_457a2_row23_col694, #T_457a2_row23_col736, #T_457a2_row23_col830, #T_457a2_row23_col992, #T_457a2_row23_col1127, #T_457a2_row23_col1146, #T_457a2_row24_col126, #T_457a2_row24_col147, #T_457a2_row24_col436, #T_457a2_row24_col454, #T_457a2_row24_col548, #T_457a2_row24_col867, #T_457a2_row24_col1137, #T_457a2_row24_col1362 {\n",
       "  background-color: #93b5d6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col65, #T_457a2_row0_col551, #T_457a2_row0_col579, #T_457a2_row0_col785, #T_457a2_row0_col1012, #T_457a2_row1_col716, #T_457a2_row1_col796, #T_457a2_row1_col1332, #T_457a2_row1_col1374, #T_457a2_row1_col1375, #T_457a2_row2_col16, #T_457a2_row2_col158, #T_457a2_row2_col382, #T_457a2_row2_col392, #T_457a2_row2_col534, #T_457a2_row2_col535, #T_457a2_row2_col552, #T_457a2_row2_col1130, #T_457a2_row2_col1392, #T_457a2_row3_col50, #T_457a2_row3_col127, #T_457a2_row3_col317, #T_457a2_row3_col347, #T_457a2_row3_col611, #T_457a2_row3_col737, #T_457a2_row3_col770, #T_457a2_row3_col847, #T_457a2_row3_col897, #T_457a2_row3_col1037, #T_457a2_row3_col1391, #T_457a2_row4_col318, #T_457a2_row4_col665, #T_457a2_row4_col737, #T_457a2_row4_col1038, #T_457a2_row5_col23, #T_457a2_row5_col743, #T_457a2_row5_col1211, #T_457a2_row5_col1343, #T_457a2_row5_col1387, #T_457a2_row6_col936, #T_457a2_row6_col965, #T_457a2_row7_col129, #T_457a2_row7_col136, #T_457a2_row7_col311, #T_457a2_row7_col1088, #T_457a2_row7_col1300, #T_457a2_row8_col1230, #T_457a2_row8_col1262, #T_457a2_row8_col1432, #T_457a2_row9_col515, #T_457a2_row9_col604, #T_457a2_row9_col1330, #T_457a2_row10_col494, #T_457a2_row11_col50, #T_457a2_row11_col359, #T_457a2_row11_col770, #T_457a2_row11_col1068, #T_457a2_row11_col1079, #T_457a2_row11_col1312, #T_457a2_row12_col173, #T_457a2_row12_col289, #T_457a2_row12_col340, #T_457a2_row12_col601, #T_457a2_row12_col1009, #T_457a2_row12_col1060, #T_457a2_row12_col1124, #T_457a2_row13_col564, #T_457a2_row13_col640, #T_457a2_row13_col692, #T_457a2_row13_col1409, #T_457a2_row14_col1210, #T_457a2_row15_col74, #T_457a2_row15_col358, #T_457a2_row15_col452, #T_457a2_row15_col794, #T_457a2_row15_col1078, #T_457a2_row15_col1103, #T_457a2_row15_col1241, #T_457a2_row15_col1243, #T_457a2_row15_col1388, #T_457a2_row16_col310, #T_457a2_row17_col444, #T_457a2_row17_col1153, #T_457a2_row17_col1325, #T_457a2_row18_col148, #T_457a2_row18_col838, #T_457a2_row18_col868, #T_457a2_row18_col1233, #T_457a2_row19_col355, #T_457a2_row19_col438, #T_457a2_row19_col504, #T_457a2_row19_col733, #T_457a2_row19_col1075, #T_457a2_row19_col1316, #T_457a2_row19_col1364, #T_457a2_row19_col1409, #T_457a2_row20_col284, #T_457a2_row20_col1004, #T_457a2_row20_col1387, #T_457a2_row21_col576, #T_457a2_row21_col1232, #T_457a2_row21_col1333, #T_457a2_row23_col689, #T_457a2_row23_col1211, #T_457a2_row23_col1423, #T_457a2_row24_col1163, #T_457a2_row24_col1402 {\n",
       "  background-color: #0a73b2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col67, #T_457a2_row0_col96, #T_457a2_row0_col172, #T_457a2_row0_col321, #T_457a2_row0_col417, #T_457a2_row0_col816, #T_457a2_row0_col892, #T_457a2_row0_col1041, #T_457a2_row0_col1260, #T_457a2_row1_col26, #T_457a2_row1_col124, #T_457a2_row1_col707, #T_457a2_row1_col746, #T_457a2_row1_col1117, #T_457a2_row1_col1222, #T_457a2_row1_col1236, #T_457a2_row2_col468, #T_457a2_row2_col1201, #T_457a2_row3_col1060, #T_457a2_row4_col137, #T_457a2_row4_col159, #T_457a2_row4_col165, #T_457a2_row4_col574, #T_457a2_row4_col857, #T_457a2_row5_col665, #T_457a2_row6_col1230, #T_457a2_row6_col1240, #T_457a2_row7_col246, #T_457a2_row7_col1397, #T_457a2_row8_col1329, #T_457a2_row9_col214, #T_457a2_row9_col314, #T_457a2_row9_col339, #T_457a2_row9_col934, #T_457a2_row9_col1034, #T_457a2_row9_col1111, #T_457a2_row10_col55, #T_457a2_row10_col185, #T_457a2_row10_col775, #T_457a2_row10_col905, #T_457a2_row10_col1106, #T_457a2_row10_col1401, #T_457a2_row12_col349, #T_457a2_row12_col1069, #T_457a2_row13_col52, #T_457a2_row13_col58, #T_457a2_row13_col206, #T_457a2_row13_col303, #T_457a2_row13_col488, #T_457a2_row13_col1023, #T_457a2_row13_col1140, #T_457a2_row13_col1204, #T_457a2_row14_col1169, #T_457a2_row14_col1367, #T_457a2_row15_col119, #T_457a2_row15_col133, #T_457a2_row15_col149, #T_457a2_row15_col533, #T_457a2_row15_col540, #T_457a2_row15_col839, #T_457a2_row15_col853, #T_457a2_row15_col869, #T_457a2_row15_col959, #T_457a2_row15_col1119, #T_457a2_row15_col1125, #T_457a2_row15_col1209, #T_457a2_row15_col1240, #T_457a2_row16_col1409, #T_457a2_row16_col1430, #T_457a2_row17_col68, #T_457a2_row17_col269, #T_457a2_row17_col329, #T_457a2_row17_col440, #T_457a2_row17_col989, #T_457a2_row17_col1049, #T_457a2_row17_col1240, #T_457a2_row17_col1301, #T_457a2_row17_col1352, #T_457a2_row19_col185, #T_457a2_row19_col664, #T_457a2_row19_col1087, #T_457a2_row19_col1426, #T_457a2_row20_col132, #T_457a2_row20_col181, #T_457a2_row20_col509, #T_457a2_row20_col798, #T_457a2_row20_col852, #T_457a2_row20_col901, #T_457a2_row20_col1410, #T_457a2_row20_col1419, #T_457a2_row21_col1165, #T_457a2_row21_col1226, #T_457a2_row23_col119, #T_457a2_row23_col839, #T_457a2_row23_col1144 {\n",
       "  background-color: #05659f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col68, #T_457a2_row0_col221, #T_457a2_row0_col248, #T_457a2_row0_col362, #T_457a2_row0_col580, #T_457a2_row0_col583, #T_457a2_row0_col594, #T_457a2_row0_col875, #T_457a2_row0_col968, #T_457a2_row0_col1225, #T_457a2_row0_col1337, #T_457a2_row1_col1139, #T_457a2_row1_col1155, #T_457a2_row1_col1263, #T_457a2_row1_col1317, #T_457a2_row1_col1347, #T_457a2_row2_col375, #T_457a2_row2_col506, #T_457a2_row2_col1198, #T_457a2_row2_col1200, #T_457a2_row2_col1220, #T_457a2_row3_col27, #T_457a2_row3_col634, #T_457a2_row3_col747, #T_457a2_row3_col1198, #T_457a2_row3_col1205, #T_457a2_row3_col1325, #T_457a2_row3_col1405, #T_457a2_row3_col1426, #T_457a2_row5_col199, #T_457a2_row5_col417, #T_457a2_row5_col919, #T_457a2_row5_col1196, #T_457a2_row5_col1376, #T_457a2_row7_col10, #T_457a2_row7_col270, #T_457a2_row7_col410, #T_457a2_row7_col599, #T_457a2_row7_col730, #T_457a2_row7_col990, #T_457a2_row7_col1258, #T_457a2_row8_col1114, #T_457a2_row9_col68, #T_457a2_row9_col103, #T_457a2_row9_col111, #T_457a2_row9_col451, #T_457a2_row10_col182, #T_457a2_row11_col248, #T_457a2_row11_col968, #T_457a2_row12_col268, #T_457a2_row12_col317, #T_457a2_row12_col355, #T_457a2_row12_col988, #T_457a2_row12_col1037, #T_457a2_row12_col1075, #T_457a2_row12_col1079, #T_457a2_row12_col1280, #T_457a2_row12_col1357, #T_457a2_row12_col1417, #T_457a2_row13_col14, #T_457a2_row13_col85, #T_457a2_row13_col137, #T_457a2_row13_col306, #T_457a2_row13_col525, #T_457a2_row13_col526, #T_457a2_row13_col534, #T_457a2_row13_col616, #T_457a2_row13_col746, #T_457a2_row13_col805, #T_457a2_row13_col857, #T_457a2_row13_col1027, #T_457a2_row13_col1205, #T_457a2_row13_col1385, #T_457a2_row15_col302, #T_457a2_row15_col374, #T_457a2_row15_col444, #T_457a2_row15_col506, #T_457a2_row15_col691, #T_457a2_row15_col739, #T_457a2_row15_col1346, #T_457a2_row16_col17, #T_457a2_row16_col737, #T_457a2_row16_col1099, #T_457a2_row17_col363, #T_457a2_row17_col399, #T_457a2_row17_col451, #T_457a2_row17_col667, #T_457a2_row17_col702, #T_457a2_row17_col1432, #T_457a2_row19_col365, #T_457a2_row19_col525, #T_457a2_row19_col1080, #T_457a2_row19_col1132, #T_457a2_row19_col1398, #T_457a2_row20_col46, #T_457a2_row20_col146, #T_457a2_row20_col434, #T_457a2_row20_col494, #T_457a2_row20_col766, #T_457a2_row20_col866, #T_457a2_row21_col1150, #T_457a2_row21_col1405, #T_457a2_row22_col1123, #T_457a2_row22_col1234, #T_457a2_row23_col1206, #T_457a2_row24_col8, #T_457a2_row24_col189, #T_457a2_row24_col251, #T_457a2_row24_col728, #T_457a2_row24_col909, #T_457a2_row24_col971 {\n",
       "  background-color: #0569a4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col71, #T_457a2_row0_col693, #T_457a2_row0_col791, #T_457a2_row0_col1211, #T_457a2_row1_col1230, #T_457a2_row1_col1303, #T_457a2_row2_col490, #T_457a2_row3_col1301, #T_457a2_row3_col1375, #T_457a2_row3_col1425, #T_457a2_row4_col474, #T_457a2_row5_col1099, #T_457a2_row6_col1129, #T_457a2_row7_col236, #T_457a2_row7_col511, #T_457a2_row7_col956, #T_457a2_row7_col1120, #T_457a2_row8_col1191, #T_457a2_row8_col1278, #T_457a2_row9_col391, #T_457a2_row11_col177, #T_457a2_row11_col375, #T_457a2_row12_col84, #T_457a2_row12_col413, #T_457a2_row12_col804, #T_457a2_row12_col1123, #T_457a2_row13_col77, #T_457a2_row13_col231, #T_457a2_row13_col369, #T_457a2_row13_col797, #T_457a2_row13_col951, #T_457a2_row14_col1095, #T_457a2_row14_col1117, #T_457a2_row14_col1129, #T_457a2_row14_col1220, #T_457a2_row14_col1297, #T_457a2_row15_col225, #T_457a2_row15_col430, #T_457a2_row15_col945, #T_457a2_row15_col1126, #T_457a2_row15_col1152, #T_457a2_row15_col1441, #T_457a2_row17_col163, #T_457a2_row17_col1000, #T_457a2_row17_col1405, #T_457a2_row18_col560, #T_457a2_row19_col417, #T_457a2_row19_col1140, #T_457a2_row19_col1183, #T_457a2_row20_col267, #T_457a2_row20_col987, #T_457a2_row21_col1200, #T_457a2_row21_col1426 {\n",
       "  background-color: #045280;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col72, #T_457a2_row0_col114, #T_457a2_row0_col246, #T_457a2_row0_col281, #T_457a2_row0_col360, #T_457a2_row0_col485, #T_457a2_row0_col1001, #T_457a2_row0_col1003, #T_457a2_row0_col1050, #T_457a2_row0_col1080, #T_457a2_row0_col1349, #T_457a2_row0_col1401, #T_457a2_row0_col1417, #T_457a2_row1_col158, #T_457a2_row1_col187, #T_457a2_row1_col530, #T_457a2_row1_col588, #T_457a2_row1_col795, #T_457a2_row1_col907, #T_457a2_row2_col473, #T_457a2_row2_col537, #T_457a2_row2_col782, #T_457a2_row2_col1088, #T_457a2_row2_col1339, #T_457a2_row2_col1395, #T_457a2_row3_col133, #T_457a2_row3_col148, #T_457a2_row3_col513, #T_457a2_row3_col693, #T_457a2_row3_col743, #T_457a2_row3_col853, #T_457a2_row3_col869, #T_457a2_row3_col1334, #T_457a2_row4_col124, #T_457a2_row4_col148, #T_457a2_row4_col339, #T_457a2_row4_col779, #T_457a2_row4_col844, #T_457a2_row4_col868, #T_457a2_row4_col1153, #T_457a2_row4_col1190, #T_457a2_row4_col1234, #T_457a2_row5_col174, #T_457a2_row5_col279, #T_457a2_row5_col641, #T_457a2_row5_col815, #T_457a2_row5_col894, #T_457a2_row5_col999, #T_457a2_row5_col1158, #T_457a2_row5_col1349, #T_457a2_row5_col1411, #T_457a2_row6_col4, #T_457a2_row6_col129, #T_457a2_row6_col247, #T_457a2_row6_col311, #T_457a2_row6_col650, #T_457a2_row6_col724, #T_457a2_row6_col1031, #T_457a2_row6_col1177, #T_457a2_row6_col1325, #T_457a2_row8_col389, #T_457a2_row8_col1107, #T_457a2_row8_col1437, #T_457a2_row9_col10, #T_457a2_row9_col45, #T_457a2_row9_col166, #T_457a2_row9_col376, #T_457a2_row9_col426, #T_457a2_row9_col496, #T_457a2_row9_col621, #T_457a2_row9_col730, #T_457a2_row9_col765, #T_457a2_row9_col1069, #T_457a2_row10_col134, #T_457a2_row10_col854, #T_457a2_row10_col1222, #T_457a2_row10_col1294, #T_457a2_row11_col20, #T_457a2_row11_col40, #T_457a2_row11_col56, #T_457a2_row11_col135, #T_457a2_row11_col195, #T_457a2_row11_col226, #T_457a2_row11_col346, #T_457a2_row11_col740, #T_457a2_row11_col760, #T_457a2_row11_col776, #T_457a2_row11_col855, #T_457a2_row11_col892, #T_457a2_row11_col915, #T_457a2_row11_col946, #T_457a2_row11_col1066, #T_457a2_row12_col33, #T_457a2_row12_col43, #T_457a2_row12_col90, #T_457a2_row12_col111, #T_457a2_row12_col201, #T_457a2_row12_col204, #T_457a2_row12_col582, #T_457a2_row12_col617, #T_457a2_row12_col654, #T_457a2_row12_col763, #T_457a2_row12_col810, #T_457a2_row12_col831, #T_457a2_row12_col921, #T_457a2_row12_col924, #T_457a2_row12_col1086, #T_457a2_row12_col1174, #T_457a2_row12_col1201, #T_457a2_row12_col1306, #T_457a2_row13_col54, #T_457a2_row13_col242, #T_457a2_row13_col497, #T_457a2_row13_col774, #T_457a2_row13_col1003, #T_457a2_row13_col1215, #T_457a2_row13_col1255, #T_457a2_row14_col1179, #T_457a2_row15_col130, #T_457a2_row15_col562, #T_457a2_row15_col850, #T_457a2_row15_col1162, #T_457a2_row15_col1203, #T_457a2_row15_col1246, #T_457a2_row15_col1261, #T_457a2_row16_col314, #T_457a2_row16_col1034, #T_457a2_row17_col9, #T_457a2_row17_col110, #T_457a2_row17_col709, #T_457a2_row17_col729, #T_457a2_row17_col779, #T_457a2_row17_col830, #T_457a2_row17_col1131, #T_457a2_row17_col1156, #T_457a2_row17_col1198, #T_457a2_row17_col1245, #T_457a2_row17_col1309, #T_457a2_row18_col110, #T_457a2_row18_col345, #T_457a2_row18_col676, #T_457a2_row18_col704, #T_457a2_row18_col830, #T_457a2_row18_col1065, #T_457a2_row19_col19, #T_457a2_row19_col140, #T_457a2_row19_col389, #T_457a2_row19_col635, #T_457a2_row19_col860, #T_457a2_row19_col865, #T_457a2_row19_col1115, #T_457a2_row20_col76, #T_457a2_row20_col171, #T_457a2_row20_col530, #T_457a2_row20_col796, #T_457a2_row20_col1242, #T_457a2_row20_col1396, #T_457a2_row21_col664, #T_457a2_row21_col1108, #T_457a2_row22_col110, #T_457a2_row22_col219, #T_457a2_row22_col830, #T_457a2_row23_col132, #T_457a2_row23_col486, #T_457a2_row23_col852, #T_457a2_row23_col1279, #T_457a2_row23_col1389, #T_457a2_row24_col361, #T_457a2_row24_col499, #T_457a2_row24_col861, #T_457a2_row24_col1081, #T_457a2_row24_col1219, #T_457a2_row24_col1363 {\n",
       "  background-color: #4697c4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col73, #T_457a2_row0_col152, #T_457a2_row0_col540, #T_457a2_row0_col793, #T_457a2_row0_col872, #T_457a2_row1_col159, #T_457a2_row1_col447, #T_457a2_row1_col508, #T_457a2_row1_col533, #T_457a2_row1_col685, #T_457a2_row1_col694, #T_457a2_row1_col1225, #T_457a2_row2_col265, #T_457a2_row2_col325, #T_457a2_row2_col343, #T_457a2_row2_col347, #T_457a2_row2_col594, #T_457a2_row2_col851, #T_457a2_row2_col883, #T_457a2_row2_col1045, #T_457a2_row2_col1063, #T_457a2_row3_col170, #T_457a2_row3_col429, #T_457a2_row3_col1238, #T_457a2_row3_col1323, #T_457a2_row4_col21, #T_457a2_row4_col741, #T_457a2_row5_col201, #T_457a2_row5_col534, #T_457a2_row5_col1095, #T_457a2_row5_col1120, #T_457a2_row6_col197, #T_457a2_row6_col244, #T_457a2_row6_col252, #T_457a2_row6_col498, #T_457a2_row6_col964, #T_457a2_row6_col972, #T_457a2_row7_col59, #T_457a2_row7_col244, #T_457a2_row7_col431, #T_457a2_row7_col510, #T_457a2_row7_col518, #T_457a2_row7_col1079, #T_457a2_row7_col1409, #T_457a2_row8_col1099, #T_457a2_row8_col1292, #T_457a2_row8_col1337, #T_457a2_row9_col609, #T_457a2_row10_col327, #T_457a2_row10_col1047, #T_457a2_row11_col14, #T_457a2_row11_col481, #T_457a2_row11_col734, #T_457a2_row11_col847, #T_457a2_row11_col1255, #T_457a2_row12_col32, #T_457a2_row12_col513, #T_457a2_row12_col692, #T_457a2_row12_col752, #T_457a2_row12_col769, #T_457a2_row12_col845, #T_457a2_row12_col1240, #T_457a2_row12_col1361, #T_457a2_row12_col1390, #T_457a2_row13_col107, #T_457a2_row13_col210, #T_457a2_row13_col320, #T_457a2_row13_col429, #T_457a2_row13_col521, #T_457a2_row13_col592, #T_457a2_row13_col706, #T_457a2_row13_col930, #T_457a2_row13_col1040, #T_457a2_row14_col1201, #T_457a2_row14_col1343, #T_457a2_row14_col1435, #T_457a2_row15_col326, #T_457a2_row15_col564, #T_457a2_row15_col657, #T_457a2_row15_col1086, #T_457a2_row15_col1220, #T_457a2_row15_col1239, #T_457a2_row15_col1244, #T_457a2_row15_col1287, #T_457a2_row15_col1306, #T_457a2_row16_col368, #T_457a2_row17_col102, #T_457a2_row17_col168, #T_457a2_row17_col270, #T_457a2_row17_col822, #T_457a2_row17_col878, #T_457a2_row17_col888, #T_457a2_row17_col990, #T_457a2_row17_col1079, #T_457a2_row17_col1320, #T_457a2_row18_col1129, #T_457a2_row19_col348, #T_457a2_row19_col503, #T_457a2_row19_col1269, #T_457a2_row20_col53, #T_457a2_row20_col305, #T_457a2_row20_col307, #T_457a2_row20_col773, #T_457a2_row20_col1025, #T_457a2_row20_col1259, #T_457a2_row21_col394, #T_457a2_row24_col94, #T_457a2_row24_col814 {\n",
       "  background-color: #056caa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col74, #T_457a2_row0_col94, #T_457a2_row0_col794, #T_457a2_row0_col814, #T_457a2_row0_col844, #T_457a2_row0_col1122, #T_457a2_row0_col1126, #T_457a2_row1_col255, #T_457a2_row1_col372, #T_457a2_row1_col436, #T_457a2_row1_col547, #T_457a2_row1_col597, #T_457a2_row1_col690, #T_457a2_row1_col975, #T_457a2_row1_col1280, #T_457a2_row3_col1100, #T_457a2_row3_col1125, #T_457a2_row4_col191, #T_457a2_row4_col464, #T_457a2_row4_col911, #T_457a2_row5_col186, #T_457a2_row5_col317, #T_457a2_row5_col906, #T_457a2_row5_col1037, #T_457a2_row6_col106, #T_457a2_row6_col826, #T_457a2_row7_col134, #T_457a2_row7_col187, #T_457a2_row7_col353, #T_457a2_row7_col372, #T_457a2_row7_col854, #T_457a2_row7_col907, #T_457a2_row7_col1073, #T_457a2_row7_col1119, #T_457a2_row7_col1379, #T_457a2_row8_col1170, #T_457a2_row8_col1271, #T_457a2_row8_col1402, #T_457a2_row8_col1434, #T_457a2_row9_col769, #T_457a2_row11_col34, #T_457a2_row11_col152, #T_457a2_row11_col707, #T_457a2_row11_col754, #T_457a2_row11_col872, #T_457a2_row11_col882, #T_457a2_row11_col897, #T_457a2_row13_col115, #T_457a2_row13_col384, #T_457a2_row15_col1278, #T_457a2_row15_col1304, #T_457a2_row15_col1310, #T_457a2_row17_col280, #T_457a2_row17_col883, #T_457a2_row19_col165, #T_457a2_row19_col1384, #T_457a2_row20_col361, #T_457a2_row20_col437, #T_457a2_row20_col1081, #T_457a2_row23_col1177, #T_457a2_row23_col1437, #T_457a2_row24_col330, #T_457a2_row24_col1050 {\n",
       "  background-color: #045382;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col77, #T_457a2_row0_col658, #T_457a2_row1_col468, #T_457a2_row1_col483, #T_457a2_row1_col639, #T_457a2_row1_col649, #T_457a2_row2_col404, #T_457a2_row2_col700, #T_457a2_row2_col793, #T_457a2_row2_col1206, #T_457a2_row3_col723, #T_457a2_row4_col69, #T_457a2_row4_col268, #T_457a2_row4_col312, #T_457a2_row4_col475, #T_457a2_row4_col646, #T_457a2_row4_col691, #T_457a2_row4_col789, #T_457a2_row4_col988, #T_457a2_row4_col1031, #T_457a2_row4_col1032, #T_457a2_row4_col1147, #T_457a2_row4_col1178, #T_457a2_row5_col85, #T_457a2_row5_col476, #T_457a2_row5_col502, #T_457a2_row5_col541, #T_457a2_row5_col805, #T_457a2_row5_col848, #T_457a2_row5_col945, #T_457a2_row6_col72, #T_457a2_row6_col130, #T_457a2_row6_col159, #T_457a2_row6_col410, #T_457a2_row6_col620, #T_457a2_row6_col792, #T_457a2_row6_col850, #T_457a2_row6_col879, #T_457a2_row6_col1233, #T_457a2_row6_col1291, #T_457a2_row6_col1363, #T_457a2_row7_col1202, #T_457a2_row7_col1267, #T_457a2_row8_col360, #T_457a2_row8_col494, #T_457a2_row8_col1076, #T_457a2_row9_col15, #T_457a2_row9_col191, #T_457a2_row9_col249, #T_457a2_row9_col472, #T_457a2_row9_col500, #T_457a2_row9_col551, #T_457a2_row9_col735, #T_457a2_row9_col911, #T_457a2_row9_col969, #T_457a2_row9_col1064, #T_457a2_row9_col1244, #T_457a2_row9_col1312, #T_457a2_row9_col1404, #T_457a2_row10_col45, #T_457a2_row10_col101, #T_457a2_row10_col158, #T_457a2_row10_col181, #T_457a2_row10_col232, #T_457a2_row10_col389, #T_457a2_row10_col742, #T_457a2_row10_col765, #T_457a2_row10_col878, #T_457a2_row10_col901, #T_457a2_row10_col951, #T_457a2_row10_col952, #T_457a2_row10_col1261, #T_457a2_row10_col1274, #T_457a2_row10_col1329, #T_457a2_row10_col1354, #T_457a2_row11_col86, #T_457a2_row11_col231, #T_457a2_row11_col388, #T_457a2_row11_col393, #T_457a2_row11_col532, #T_457a2_row11_col648, #T_457a2_row11_col664, #T_457a2_row11_col685, #T_457a2_row11_col951, #T_457a2_row12_col1418, #T_457a2_row13_col1362, #T_457a2_row14_col298, #T_457a2_row14_col601, #T_457a2_row14_col722, #T_457a2_row14_col1368, #T_457a2_row16_col445, #T_457a2_row16_col458, #T_457a2_row16_col603, #T_457a2_row16_col887, #T_457a2_row16_col1091, #T_457a2_row16_col1203, #T_457a2_row17_col126, #T_457a2_row17_col846, #T_457a2_row17_col935, #T_457a2_row18_col144, #T_457a2_row18_col158, #T_457a2_row18_col350, #T_457a2_row18_col414, #T_457a2_row18_col450, #T_457a2_row18_col556, #T_457a2_row18_col658, #T_457a2_row18_col713, #T_457a2_row18_col1070, #T_457a2_row19_col114, #T_457a2_row19_col266, #T_457a2_row19_col270, #T_457a2_row19_col441, #T_457a2_row19_col834, #T_457a2_row19_col986, #T_457a2_row19_col990, #T_457a2_row19_col1147, #T_457a2_row20_col86, #T_457a2_row20_col202, #T_457a2_row20_col259, #T_457a2_row20_col540, #T_457a2_row20_col614, #T_457a2_row20_col806, #T_457a2_row20_col1106, #T_457a2_row20_col1416, #T_457a2_row21_col38, #T_457a2_row21_col58, #T_457a2_row21_col288, #T_457a2_row21_col317, #T_457a2_row21_col472, #T_457a2_row21_col629, #T_457a2_row21_col758, #T_457a2_row21_col778, #T_457a2_row21_col1008, #T_457a2_row21_col1037, #T_457a2_row21_col1128, #T_457a2_row22_col175, #T_457a2_row22_col255, #T_457a2_row22_col452, #T_457a2_row22_col895, #T_457a2_row22_col975, #T_457a2_row22_col1124, #T_457a2_row22_col1266, #T_457a2_row23_col51, #T_457a2_row23_col81, #T_457a2_row23_col108, #T_457a2_row23_col114, #T_457a2_row23_col211, #T_457a2_row23_col249, #T_457a2_row23_col559, #T_457a2_row23_col589, #T_457a2_row23_col771, #T_457a2_row23_col801, #T_457a2_row23_col828, #T_457a2_row23_col834, #T_457a2_row23_col838, #T_457a2_row23_col931, #T_457a2_row24_col433, #T_457a2_row24_col544, #T_457a2_row24_col583, #T_457a2_row24_col590, #T_457a2_row24_col616, #T_457a2_row24_col677, #T_457a2_row24_col926, #T_457a2_row24_col1035, #T_457a2_row24_col1062, #T_457a2_row24_col1207 {\n",
       "  background-color: #b7c5df;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col78, #T_457a2_row0_col260, #T_457a2_row0_col686, #T_457a2_row0_col798, #T_457a2_row0_col873, #T_457a2_row0_col950, #T_457a2_row0_col980, #T_457a2_row0_col1149, #T_457a2_row0_col1327, #T_457a2_row1_col1144, #T_457a2_row2_col289, #T_457a2_row2_col402, #T_457a2_row2_col553, #T_457a2_row2_col1009, #T_457a2_row3_col39, #T_457a2_row3_col484, #T_457a2_row3_col759, #T_457a2_row3_col932, #T_457a2_row4_col42, #T_457a2_row4_col286, #T_457a2_row4_col296, #T_457a2_row4_col452, #T_457a2_row4_col762, #T_457a2_row4_col1400, #T_457a2_row5_col71, #T_457a2_row5_col183, #T_457a2_row5_col215, #T_457a2_row5_col280, #T_457a2_row5_col310, #T_457a2_row5_col327, #T_457a2_row5_col437, #T_457a2_row5_col791, #T_457a2_row5_col935, #T_457a2_row5_col1000, #T_457a2_row5_col1047, #T_457a2_row6_col298, #T_457a2_row6_col339, #T_457a2_row6_col386, #T_457a2_row6_col438, #T_457a2_row6_col503, #T_457a2_row6_col676, #T_457a2_row6_col1273, #T_457a2_row7_col215, #T_457a2_row7_col387, #T_457a2_row7_col935, #T_457a2_row7_col1128, #T_457a2_row7_col1189, #T_457a2_row7_col1297, #T_457a2_row8_col418, #T_457a2_row8_col440, #T_457a2_row8_col566, #T_457a2_row8_col646, #T_457a2_row8_col1185, #T_457a2_row8_col1236, #T_457a2_row8_col1360, #T_457a2_row8_col1419, #T_457a2_row9_col7, #T_457a2_row9_col259, #T_457a2_row9_col367, #T_457a2_row9_col390, #T_457a2_row9_col480, #T_457a2_row9_col727, #T_457a2_row9_col951, #T_457a2_row9_col961, #T_457a2_row9_col1100, #T_457a2_row9_col1284, #T_457a2_row9_col1308, #T_457a2_row9_col1358, #T_457a2_row9_col1384, #T_457a2_row9_col1399, #T_457a2_row10_col103, #T_457a2_row10_col137, #T_457a2_row10_col277, #T_457a2_row10_col504, #T_457a2_row10_col707, #T_457a2_row10_col823, #T_457a2_row10_col997, #T_457a2_row10_col1109, #T_457a2_row10_col1111, #T_457a2_row10_col1141, #T_457a2_row10_col1150, #T_457a2_row10_col1325, #T_457a2_row11_col171, #T_457a2_row11_col194, #T_457a2_row11_col316, #T_457a2_row11_col435, #T_457a2_row11_col914, #T_457a2_row11_col1036, #T_457a2_row11_col1201, #T_457a2_row11_col1326, #T_457a2_row12_col280, #T_457a2_row12_col347, #T_457a2_row12_col439, #T_457a2_row12_col445, #T_457a2_row12_col449, #T_457a2_row12_col495, #T_457a2_row12_col502, #T_457a2_row12_col554, #T_457a2_row12_col1000, #T_457a2_row12_col1397, #T_457a2_row13_col4, #T_457a2_row13_col724, #T_457a2_row13_col1175, #T_457a2_row13_col1228, #T_457a2_row13_col1324, #T_457a2_row14_col152, #T_457a2_row14_col171, #T_457a2_row14_col406, #T_457a2_row14_col499, #T_457a2_row14_col582, #T_457a2_row14_col637, #T_457a2_row14_col664, #T_457a2_row14_col675, #T_457a2_row14_col872, #T_457a2_row15_col186, #T_457a2_row15_col214, #T_457a2_row15_col315, #T_457a2_row15_col346, #T_457a2_row15_col934, #T_457a2_row15_col1021, #T_457a2_row15_col1035, #T_457a2_row15_col1066, #T_457a2_row16_col117, #T_457a2_row16_col391, #T_457a2_row16_col436, #T_457a2_row16_col1263, #T_457a2_row17_col13, #T_457a2_row17_col153, #T_457a2_row17_col225, #T_457a2_row17_col279, #T_457a2_row17_col412, #T_457a2_row17_col439, #T_457a2_row17_col716, #T_457a2_row17_col873, #T_457a2_row17_col945, #T_457a2_row17_col962, #T_457a2_row17_col999, #T_457a2_row17_col1271, #T_457a2_row17_col1286, #T_457a2_row18_col105, #T_457a2_row18_col256, #T_457a2_row18_col308, #T_457a2_row18_col434, #T_457a2_row18_col504, #T_457a2_row18_col558, #T_457a2_row18_col583, #T_457a2_row18_col639, #T_457a2_row18_col825, #T_457a2_row18_col1028, #T_457a2_row18_col1184, #T_457a2_row19_col113, #T_457a2_row19_col312, #T_457a2_row19_col1032, #T_457a2_row19_col1208, #T_457a2_row19_col1252, #T_457a2_row19_col1414, #T_457a2_row21_col272, #T_457a2_row21_col647, #T_457a2_row21_col992, #T_457a2_row21_col1198, #T_457a2_row21_col1338, #T_457a2_row22_col50, #T_457a2_row22_col273, #T_457a2_row22_col422, #T_457a2_row22_col505, #T_457a2_row22_col711, #T_457a2_row22_col770, #T_457a2_row22_col990, #T_457a2_row22_col993, #T_457a2_row22_col1112, #T_457a2_row22_col1434, #T_457a2_row23_col501, #T_457a2_row23_col563, #T_457a2_row23_col620, #T_457a2_row23_col709, #T_457a2_row23_col782, #T_457a2_row23_col1050, #T_457a2_row23_col1313, #T_457a2_row23_col1396, #T_457a2_row24_col4, #T_457a2_row24_col35, #T_457a2_row24_col36, #T_457a2_row24_col99, #T_457a2_row24_col129, #T_457a2_row24_col354, #T_457a2_row24_col595, #T_457a2_row24_col755, #T_457a2_row24_col756, #T_457a2_row24_col819, #T_457a2_row24_col849, #T_457a2_row24_col1074, #T_457a2_row24_col1265 {\n",
       "  background-color: #9fbad9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col79, #T_457a2_row0_col196, #T_457a2_row0_col372, #T_457a2_row0_col454, #T_457a2_row0_col712, #T_457a2_row0_col799, #T_457a2_row0_col916, #T_457a2_row0_col925, #T_457a2_row0_col1101, #T_457a2_row0_col1375, #T_457a2_row1_col200, #T_457a2_row1_col576, #T_457a2_row1_col920, #T_457a2_row1_col1214, #T_457a2_row1_col1385, #T_457a2_row1_col1407, #T_457a2_row2_col78, #T_457a2_row2_col438, #T_457a2_row2_col798, #T_457a2_row2_col1308, #T_457a2_row3_col1347, #T_457a2_row4_col355, #T_457a2_row4_col451, #T_457a2_row4_col1075, #T_457a2_row5_col163, #T_457a2_row5_col518, #T_457a2_row5_col522, #T_457a2_row5_col1359, #T_457a2_row6_col152, #T_457a2_row6_col872, #T_457a2_row7_col223, #T_457a2_row7_col362, #T_457a2_row7_col418, #T_457a2_row7_col451, #T_457a2_row7_col630, #T_457a2_row7_col638, #T_457a2_row7_col1082, #T_457a2_row7_col1386, #T_457a2_row7_col1392, #T_457a2_row9_col442, #T_457a2_row9_col471, #T_457a2_row9_col710, #T_457a2_row10_col1383, #T_457a2_row11_col924, #T_457a2_row12_col318, #T_457a2_row12_col436, #T_457a2_row12_col500, #T_457a2_row12_col1038, #T_457a2_row13_col19, #T_457a2_row13_col36, #T_457a2_row13_col68, #T_457a2_row13_col739, #T_457a2_row13_col756, #T_457a2_row13_col788, #T_457a2_row13_col1251, #T_457a2_row14_col1424, #T_457a2_row15_col131, #T_457a2_row15_col851, #T_457a2_row17_col1425, #T_457a2_row18_col1090, #T_457a2_row18_col1097, #T_457a2_row18_col1328, #T_457a2_row20_col638, #T_457a2_row20_col1220, #T_457a2_row20_col1435, #T_457a2_row21_col565, #T_457a2_row23_col329, #T_457a2_row24_col232, #T_457a2_row24_col952 {\n",
       "  background-color: #045a8d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col81, #T_457a2_row0_col327, #T_457a2_row0_col376, #T_457a2_row0_col546, #T_457a2_row0_col801, #T_457a2_row0_col1047, #T_457a2_row1_col1096, #T_457a2_row1_col1190, #T_457a2_row1_col1435, #T_457a2_row2_col23, #T_457a2_row2_col361, #T_457a2_row2_col492, #T_457a2_row2_col743, #T_457a2_row2_col1081, #T_457a2_row2_col1410, #T_457a2_row3_col1094, #T_457a2_row4_col438, #T_457a2_row4_col784, #T_457a2_row4_col917, #T_457a2_row5_col1405, #T_457a2_row7_col161, #T_457a2_row7_col235, #T_457a2_row7_col308, #T_457a2_row7_col700, #T_457a2_row7_col784, #T_457a2_row7_col847, #T_457a2_row7_col881, #T_457a2_row7_col955, #T_457a2_row7_col1314, #T_457a2_row8_col1301, #T_457a2_row8_col1343, #T_457a2_row9_col924, #T_457a2_row9_col1123, #T_457a2_row9_col1337, #T_457a2_row10_col1202, #T_457a2_row11_col126, #T_457a2_row11_col305, #T_457a2_row11_col355, #T_457a2_row11_col1025, #T_457a2_row11_col1075, #T_457a2_row12_col1146, #T_457a2_row12_col1435, #T_457a2_row13_col108, #T_457a2_row13_col444, #T_457a2_row13_col618, #T_457a2_row13_col1082, #T_457a2_row13_col1237, #T_457a2_row13_col1378, #T_457a2_row14_col1181, #T_457a2_row15_col595, #T_457a2_row15_col1167, #T_457a2_row15_col1188, #T_457a2_row15_col1375, #T_457a2_row15_col1443, #T_457a2_row16_col1084, #T_457a2_row17_col146, #T_457a2_row17_col454, #T_457a2_row17_col1171, #T_457a2_row18_col1100, #T_457a2_row19_col787, #T_457a2_row19_col1138, #T_457a2_row19_col1375, #T_457a2_row19_col1381, #T_457a2_row20_col279, #T_457a2_row20_col491, #T_457a2_row20_col656, #T_457a2_row20_col999, #T_457a2_row21_col951, #T_457a2_row22_col142, #T_457a2_row22_col1371, #T_457a2_row22_col1381, #T_457a2_row23_col1239, #T_457a2_row23_col1386, #T_457a2_row24_col1435 {\n",
       "  background-color: #045b8f;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col82, #T_457a2_row0_col802, #T_457a2_row0_col821, #T_457a2_row0_col1429, #T_457a2_row1_col257, #T_457a2_row1_col977, #T_457a2_row2_col273, #T_457a2_row2_col993, #T_457a2_row2_col1160, #T_457a2_row2_col1254, #T_457a2_row2_col1293, #T_457a2_row3_col15, #T_457a2_row3_col62, #T_457a2_row3_col63, #T_457a2_row3_col119, #T_457a2_row3_col349, #T_457a2_row3_col423, #T_457a2_row3_col585, #T_457a2_row3_col735, #T_457a2_row3_col783, #T_457a2_row3_col839, #T_457a2_row3_col1069, #T_457a2_row3_col1112, #T_457a2_row4_col37, #T_457a2_row4_col311, #T_457a2_row4_col408, #T_457a2_row4_col450, #T_457a2_row4_col757, #T_457a2_row4_col1331, #T_457a2_row4_col1342, #T_457a2_row4_col1433, #T_457a2_row4_col1438, #T_457a2_row5_col16, #T_457a2_row5_col61, #T_457a2_row5_col117, #T_457a2_row5_col139, #T_457a2_row5_col180, #T_457a2_row5_col273, #T_457a2_row5_col629, #T_457a2_row5_col702, #T_457a2_row5_col708, #T_457a2_row5_col718, #T_457a2_row5_col736, #T_457a2_row5_col837, #T_457a2_row5_col900, #T_457a2_row5_col993, #T_457a2_row5_col1327, #T_457a2_row6_col490, #T_457a2_row6_col1168, #T_457a2_row6_col1316, #T_457a2_row8_col44, #T_457a2_row8_col73, #T_457a2_row8_col296, #T_457a2_row8_col345, #T_457a2_row8_col356, #T_457a2_row8_col764, #T_457a2_row8_col793, #T_457a2_row8_col1065, #T_457a2_row8_col1202, #T_457a2_row9_col87, #T_457a2_row9_col237, #T_457a2_row9_col445, #T_457a2_row9_col548, #T_457a2_row9_col747, #T_457a2_row9_col786, #T_457a2_row9_col807, #T_457a2_row9_col957, #T_457a2_row9_col1172, #T_457a2_row9_col1271, #T_457a2_row9_col1392, #T_457a2_row10_col22, #T_457a2_row10_col178, #T_457a2_row10_col592, #T_457a2_row10_col821, #T_457a2_row10_col898, #T_457a2_row10_col1029, #T_457a2_row10_col1121, #T_457a2_row10_col1183, #T_457a2_row10_col1268, #T_457a2_row11_col242, #T_457a2_row11_col369, #T_457a2_row11_col516, #T_457a2_row11_col525, #T_457a2_row11_col558, #T_457a2_row11_col806, #T_457a2_row11_col1091, #T_457a2_row11_col1138, #T_457a2_row11_col1374, #T_457a2_row12_col103, #T_457a2_row12_col282, #T_457a2_row12_col460, #T_457a2_row12_col591, #T_457a2_row12_col905, #T_457a2_row12_col1002, #T_457a2_row13_col336, #T_457a2_row13_col415, #T_457a2_row13_col1169, #T_457a2_row13_col1288, #T_457a2_row13_col1417, #T_457a2_row14_col206, #T_457a2_row14_col405, #T_457a2_row14_col926, #T_457a2_row14_col1185, #T_457a2_row15_col14, #T_457a2_row15_col175, #T_457a2_row15_col231, #T_457a2_row15_col333, #T_457a2_row15_col542, #T_457a2_row15_col555, #T_457a2_row15_col734, #T_457a2_row15_col895, #T_457a2_row15_col951, #T_457a2_row15_col1053, #T_457a2_row16_col167, #T_457a2_row16_col455, #T_457a2_row16_col1132, #T_457a2_row16_col1151, #T_457a2_row16_col1269, #T_457a2_row17_col114, #T_457a2_row17_col196, #T_457a2_row17_col368, #T_457a2_row17_col916, #T_457a2_row17_col1195, #T_457a2_row18_col111, #T_457a2_row18_col296, #T_457a2_row18_col551, #T_457a2_row18_col831, #T_457a2_row18_col1015, #T_457a2_row18_col1118, #T_457a2_row18_col1286, #T_457a2_row19_col11, #T_457a2_row19_col149, #T_457a2_row19_col319, #T_457a2_row19_col672, #T_457a2_row19_col709, #T_457a2_row19_col731, #T_457a2_row19_col869, #T_457a2_row19_col1039, #T_457a2_row19_col1082, #T_457a2_row20_col781, #T_457a2_row21_col20, #T_457a2_row21_col111, #T_457a2_row21_col120, #T_457a2_row21_col216, #T_457a2_row21_col697, #T_457a2_row21_col707, #T_457a2_row21_col831, #T_457a2_row21_col840, #T_457a2_row21_col936, #T_457a2_row21_col1159, #T_457a2_row21_col1236, #T_457a2_row21_col1343, #T_457a2_row21_col1428, #T_457a2_row22_col198, #T_457a2_row22_col272, #T_457a2_row22_col897, #T_457a2_row22_col918, #T_457a2_row22_col992, #T_457a2_row22_col1145, #T_457a2_row22_col1195, #T_457a2_row22_col1351, #T_457a2_row23_col118, #T_457a2_row23_col625, #T_457a2_row23_col1000, #T_457a2_row23_col1104, #T_457a2_row24_col163, #T_457a2_row24_col206, #T_457a2_row24_col342, #T_457a2_row24_col363, #T_457a2_row24_col413, #T_457a2_row24_col486, #T_457a2_row24_col673, #T_457a2_row24_col753, #T_457a2_row24_col829, #T_457a2_row24_col883, #T_457a2_row24_col1083, #T_457a2_row24_col1149, #T_457a2_row24_col1221, #T_457a2_row24_col1366, #T_457a2_row24_col1439 {\n",
       "  background-color: #b8c6e0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col84, #T_457a2_row0_col345, #T_457a2_row0_col702, #T_457a2_row1_col177, #T_457a2_row1_col842, #T_457a2_row2_col41, #T_457a2_row2_col761, #T_457a2_row2_col944, #T_457a2_row2_col1193, #T_457a2_row3_col1369, #T_457a2_row4_col153, #T_457a2_row4_col543, #T_457a2_row4_col575, #T_457a2_row4_col622, #T_457a2_row4_col933, #T_457a2_row4_col1118, #T_457a2_row4_col1278, #T_457a2_row5_col885, #T_457a2_row6_col457, #T_457a2_row6_col642, #T_457a2_row6_col764, #T_457a2_row6_col1063, #T_457a2_row7_col37, #T_457a2_row7_col193, #T_457a2_row7_col913, #T_457a2_row7_col1321, #T_457a2_row8_col522, #T_457a2_row8_col1032, #T_457a2_row8_col1105, #T_457a2_row9_col474, #T_457a2_row10_col281, #T_457a2_row10_col466, #T_457a2_row10_col506, #T_457a2_row10_col531, #T_457a2_row10_col589, #T_457a2_row10_col1001, #T_457a2_row10_col1016, #T_457a2_row10_col1350, #T_457a2_row11_col104, #T_457a2_row11_col163, #T_457a2_row11_col436, #T_457a2_row11_col447, #T_457a2_row11_col590, #T_457a2_row11_col614, #T_457a2_row11_col824, #T_457a2_row11_col826, #T_457a2_row11_col883, #T_457a2_row11_col917, #T_457a2_row11_col1115, #T_457a2_row11_col1151, #T_457a2_row11_col1290, #T_457a2_row11_col1356, #T_457a2_row11_col1407, #T_457a2_row12_col127, #T_457a2_row12_col225, #T_457a2_row12_col283, #T_457a2_row12_col667, #T_457a2_row12_col847, #T_457a2_row12_col945, #T_457a2_row12_col1003, #T_457a2_row12_col1091, #T_457a2_row14_col28, #T_457a2_row14_col131, #T_457a2_row14_col627, #T_457a2_row14_col748, #T_457a2_row15_col66, #T_457a2_row15_col786, #T_457a2_row16_col407, #T_457a2_row16_col693, #T_457a2_row16_col1271, #T_457a2_row16_col1443, #T_457a2_row18_col31, #T_457a2_row18_col241, #T_457a2_row18_col843, #T_457a2_row18_col932, #T_457a2_row18_col961, #T_457a2_row18_col1092, #T_457a2_row18_col1147, #T_457a2_row18_col1185, #T_457a2_row18_col1243, #T_457a2_row19_col156, #T_457a2_row19_col657, #T_457a2_row19_col876, #T_457a2_row20_col91, #T_457a2_row20_col196, #T_457a2_row20_col364, #T_457a2_row20_col462, #T_457a2_row20_col520, #T_457a2_row20_col722, #T_457a2_row20_col916, #T_457a2_row21_col290, #T_457a2_row21_col531, #T_457a2_row21_col593, #T_457a2_row21_col1261, #T_457a2_row21_col1366, #T_457a2_row22_col87, #T_457a2_row22_col160, #T_457a2_row22_col294, #T_457a2_row22_col807, #T_457a2_row22_col880, #T_457a2_row22_col1016, #T_457a2_row22_col1166, #T_457a2_row22_col1207, #T_457a2_row22_col1439, #T_457a2_row23_col70, #T_457a2_row23_col219, #T_457a2_row23_col543, #T_457a2_row23_col790, #T_457a2_row23_col939, #T_457a2_row23_col1071, #T_457a2_row23_col1250, #T_457a2_row23_col1292, #T_457a2_row24_col45, #T_457a2_row24_col233, #T_457a2_row24_col484, #T_457a2_row24_col765, #T_457a2_row24_col953, #T_457a2_row24_col1382 {\n",
       "  background-color: #dddbec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col85, #T_457a2_row0_col173, #T_457a2_row0_col184, #T_457a2_row0_col313, #T_457a2_row0_col470, #T_457a2_row0_col570, #T_457a2_row0_col609, #T_457a2_row0_col805, #T_457a2_row0_col893, #T_457a2_row0_col904, #T_457a2_row0_col1208, #T_457a2_row0_col1228, #T_457a2_row0_col1300, #T_457a2_row0_col1403, #T_457a2_row1_col182, #T_457a2_row1_col280, #T_457a2_row1_col388, #T_457a2_row1_col830, #T_457a2_row1_col1341, #T_457a2_row1_col1352, #T_457a2_row1_col1389, #T_457a2_row2_col25, #T_457a2_row2_col85, #T_457a2_row2_col149, #T_457a2_row2_col304, #T_457a2_row2_col627, #T_457a2_row2_col745, #T_457a2_row2_col805, #T_457a2_row2_col869, #T_457a2_row2_col1268, #T_457a2_row3_col318, #T_457a2_row3_col426, #T_457a2_row3_col586, #T_457a2_row3_col1038, #T_457a2_row3_col1253, #T_457a2_row4_col189, #T_457a2_row4_col253, #T_457a2_row4_col714, #T_457a2_row4_col801, #T_457a2_row4_col973, #T_457a2_row4_col1100, #T_457a2_row5_col144, #T_457a2_row5_col378, #T_457a2_row5_col455, #T_457a2_row5_col500, #T_457a2_row5_col586, #T_457a2_row5_col864, #T_457a2_row5_col1220, #T_457a2_row5_col1350, #T_457a2_row6_col350, #T_457a2_row6_col481, #T_457a2_row6_col635, #T_457a2_row6_col687, #T_457a2_row6_col1300, #T_457a2_row7_col172, #T_457a2_row7_col365, #T_457a2_row7_col555, #T_457a2_row7_col1175, #T_457a2_row9_col46, #T_457a2_row9_col137, #T_457a2_row9_col263, #T_457a2_row9_col411, #T_457a2_row9_col766, #T_457a2_row9_col857, #T_457a2_row9_col983, #T_457a2_row10_col115, #T_457a2_row10_col314, #T_457a2_row10_col720, #T_457a2_row10_col835, #T_457a2_row10_col1034, #T_457a2_row11_col5, #T_457a2_row11_col551, #T_457a2_row11_col725, #T_457a2_row11_col1239, #T_457a2_row12_col74, #T_457a2_row12_col298, #T_457a2_row12_col660, #T_457a2_row12_col794, #T_457a2_row12_col1018, #T_457a2_row12_col1156, #T_457a2_row12_col1197, #T_457a2_row12_col1221, #T_457a2_row12_col1251, #T_457a2_row12_col1262, #T_457a2_row13_col354, #T_457a2_row13_col1074, #T_457a2_row13_col1313, #T_457a2_row13_col1333, #T_457a2_row14_col760, #T_457a2_row14_col1164, #T_457a2_row14_col1245, #T_457a2_row14_col1369, #T_457a2_row15_col104, #T_457a2_row15_col316, #T_457a2_row15_col324, #T_457a2_row15_col435, #T_457a2_row15_col486, #T_457a2_row15_col515, #T_457a2_row15_col573, #T_457a2_row15_col702, #T_457a2_row15_col713, #T_457a2_row15_col824, #T_457a2_row15_col1036, #T_457a2_row15_col1108, #T_457a2_row15_col1158, #T_457a2_row15_col1364, #T_457a2_row16_col1092, #T_457a2_row16_col1314, #T_457a2_row16_col1425, #T_457a2_row17_col74, #T_457a2_row17_col321, #T_457a2_row17_col705, #T_457a2_row17_col794, #T_457a2_row17_col1041, #T_457a2_row17_col1283, #T_457a2_row17_col1323, #T_457a2_row18_col141, #T_457a2_row18_col218, #T_457a2_row18_col276, #T_457a2_row18_col996, #T_457a2_row18_col1139, #T_457a2_row18_col1265, #T_457a2_row18_col1292, #T_457a2_row18_col1406, #T_457a2_row19_col231, #T_457a2_row19_col232, #T_457a2_row19_col686, #T_457a2_row19_col1120, #T_457a2_row19_col1293, #T_457a2_row19_col1299, #T_457a2_row19_col1318, #T_457a2_row20_col280, #T_457a2_row20_col788, #T_457a2_row20_col1000, #T_457a2_row20_col1255, #T_457a2_row20_col1263, #T_457a2_row21_col1090, #T_457a2_row21_col1281, #T_457a2_row21_col1309, #T_457a2_row22_col527, #T_457a2_row22_col1389, #T_457a2_row23_col242, #T_457a2_row23_col345, #T_457a2_row23_col715, #T_457a2_row23_col962, #T_457a2_row24_col5, #T_457a2_row24_col67, #T_457a2_row24_col138, #T_457a2_row24_col314, #T_457a2_row24_col674, #T_457a2_row24_col725, #T_457a2_row24_col858, #T_457a2_row24_col1034, #T_457a2_row24_col1238 {\n",
       "  background-color: #2a88bc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col86, #T_457a2_row0_col131, #T_457a2_row0_col329, #T_457a2_row0_col436, #T_457a2_row0_col753, #T_457a2_row0_col806, #T_457a2_row0_col851, #T_457a2_row0_col1220, #T_457a2_row1_col66, #T_457a2_row1_col174, #T_457a2_row1_col594, #T_457a2_row1_col786, #T_457a2_row1_col894, #T_457a2_row1_col1119, #T_457a2_row1_col1330, #T_457a2_row1_col1415, #T_457a2_row2_col146, #T_457a2_row2_col866, #T_457a2_row3_col459, #T_457a2_row3_col678, #T_457a2_row3_col1166, #T_457a2_row3_col1331, #T_457a2_row4_col4, #T_457a2_row4_col87, #T_457a2_row4_col237, #T_457a2_row4_col538, #T_457a2_row4_col546, #T_457a2_row4_col716, #T_457a2_row4_col724, #T_457a2_row4_col807, #T_457a2_row4_col957, #T_457a2_row4_col1392, #T_457a2_row5_col1171, #T_457a2_row5_col1259, #T_457a2_row5_col1391, #T_457a2_row6_col10, #T_457a2_row6_col730, #T_457a2_row6_col1081, #T_457a2_row7_col156, #T_457a2_row7_col526, #T_457a2_row7_col572, #T_457a2_row7_col876, #T_457a2_row7_col1086, #T_457a2_row7_col1281, #T_457a2_row8_col1130, #T_457a2_row8_col1198, #T_457a2_row8_col1260, #T_457a2_row9_col60, #T_457a2_row9_col270, #T_457a2_row9_col635, #T_457a2_row9_col990, #T_457a2_row10_col681, #T_457a2_row10_col1301, #T_457a2_row11_col67, #T_457a2_row11_col787, #T_457a2_row12_col453, #T_457a2_row12_col1257, #T_457a2_row12_col1295, #T_457a2_row12_col1394, #T_457a2_row13_col183, #T_457a2_row13_col339, #T_457a2_row13_col408, #T_457a2_row13_col531, #T_457a2_row13_col1297, #T_457a2_row14_col686, #T_457a2_row14_col1204, #T_457a2_row15_col90, #T_457a2_row15_col345, #T_457a2_row15_col456, #T_457a2_row15_col503, #T_457a2_row15_col575, #T_457a2_row15_col810, #T_457a2_row15_col814, #T_457a2_row15_col1153, #T_457a2_row15_col1269, #T_457a2_row15_col1367, #T_457a2_row15_col1370, #T_457a2_row16_col547, #T_457a2_row17_col90, #T_457a2_row17_col263, #T_457a2_row17_col810, #T_457a2_row17_col902, #T_457a2_row17_col1096, #T_457a2_row17_col1314, #T_457a2_row18_col131, #T_457a2_row18_col387, #T_457a2_row18_col455, #T_457a2_row18_col851, #T_457a2_row18_col1133, #T_457a2_row18_col1274, #T_457a2_row18_col1369, #T_457a2_row19_col1221, #T_457a2_row20_col127, #T_457a2_row20_col218, #T_457a2_row20_col492, #T_457a2_row20_col847, #T_457a2_row20_col1116, #T_457a2_row20_col1137, #T_457a2_row20_col1200, #T_457a2_row21_col31, #T_457a2_row21_col615, #T_457a2_row21_col1111, #T_457a2_row21_col1132, #T_457a2_row21_col1231, #T_457a2_row22_col925, #T_457a2_row22_col1143, #T_457a2_row22_col1301, #T_457a2_row22_col1428, #T_457a2_row23_col1096, #T_457a2_row23_col1187, #T_457a2_row23_col1363, #T_457a2_row24_col279, #T_457a2_row24_col999 {\n",
       "  background-color: #0570b0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col87, #T_457a2_row0_col315, #T_457a2_row0_col807, #T_457a2_row1_col155, #T_457a2_row1_col606, #T_457a2_row1_col1189, #T_457a2_row1_col1218, #T_457a2_row1_col1257, #T_457a2_row1_col1323, #T_457a2_row1_col1379, #T_457a2_row2_col1251, #T_457a2_row3_col408, #T_457a2_row4_col956, #T_457a2_row4_col1140, #T_457a2_row6_col200, #T_457a2_row6_col218, #T_457a2_row6_col920, #T_457a2_row7_col269, #T_457a2_row7_col454, #T_457a2_row7_col547, #T_457a2_row7_col989, #T_457a2_row7_col1431, #T_457a2_row10_col1386, #T_457a2_row11_col362, #T_457a2_row11_col1082, #T_457a2_row13_col867, #T_457a2_row17_col610, #T_457a2_row19_col660, #T_457a2_row20_col312, #T_457a2_row20_col1032, #T_457a2_row20_col1256, #T_457a2_row21_col1000 {\n",
       "  background-color: #023a5b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col88, #T_457a2_row0_col188, #T_457a2_row0_col317, #T_457a2_row0_col569, #T_457a2_row0_col706, #T_457a2_row0_col808, #T_457a2_row0_col908, #T_457a2_row0_col1037, #T_457a2_row0_col1092, #T_457a2_row0_col1237, #T_457a2_row0_col1286, #T_457a2_row0_col1320, #T_457a2_row0_col1378, #T_457a2_row1_col59, #T_457a2_row1_col573, #T_457a2_row2_col197, #T_457a2_row2_col450, #T_457a2_row2_col794, #T_457a2_row2_col917, #T_457a2_row2_col1140, #T_457a2_row2_col1269, #T_457a2_row3_col109, #T_457a2_row3_col348, #T_457a2_row3_col829, #T_457a2_row3_col1146, #T_457a2_row3_col1184, #T_457a2_row3_col1200, #T_457a2_row4_col1057, #T_457a2_row5_col595, #T_457a2_row5_col1388, #T_457a2_row6_col1096, #T_457a2_row6_col1322, #T_457a2_row7_col185, #T_457a2_row7_col342, #T_457a2_row7_col402, #T_457a2_row7_col436, #T_457a2_row7_col478, #T_457a2_row7_col542, #T_457a2_row7_col590, #T_457a2_row7_col1062, #T_457a2_row7_col1248, #T_457a2_row7_col1416, #T_457a2_row8_col1160, #T_457a2_row8_col1213, #T_457a2_row8_col1245, #T_457a2_row9_col91, #T_457a2_row9_col218, #T_457a2_row9_col534, #T_457a2_row9_col721, #T_457a2_row9_col811, #T_457a2_row9_col938, #T_457a2_row9_col1427, #T_457a2_row10_col1430, #T_457a2_row11_col12, #T_457a2_row11_col190, #T_457a2_row11_col342, #T_457a2_row11_col632, #T_457a2_row11_col732, #T_457a2_row11_col810, #T_457a2_row11_col910, #T_457a2_row11_col966, #T_457a2_row11_col1062, #T_457a2_row12_col68, #T_457a2_row12_col150, #T_457a2_row12_col259, #T_457a2_row12_col678, #T_457a2_row12_col1093, #T_457a2_row13_col166, #T_457a2_row13_col233, #T_457a2_row13_col451, #T_457a2_row13_col683, #T_457a2_row13_col694, #T_457a2_row13_col834, #T_457a2_row13_col886, #T_457a2_row13_col953, #T_457a2_row15_col48, #T_457a2_row15_col348, #T_457a2_row15_col1067, #T_457a2_row15_col1068, #T_457a2_row15_col1172, #T_457a2_row16_col8, #T_457a2_row16_col728, #T_457a2_row16_col1407, #T_457a2_row17_col244, #T_457a2_row17_col351, #T_457a2_row17_col373, #T_457a2_row17_col464, #T_457a2_row17_col552, #T_457a2_row17_col679, #T_457a2_row17_col964, #T_457a2_row17_col1104, #T_457a2_row17_col1165, #T_457a2_row17_col1357, #T_457a2_row17_col1364, #T_457a2_row18_col633, #T_457a2_row18_col1106, #T_457a2_row18_col1299, #T_457a2_row18_col1420, #T_457a2_row19_col481, #T_457a2_row19_col675, #T_457a2_row19_col1028, #T_457a2_row19_col1142, #T_457a2_row19_col1175, #T_457a2_row20_col165, #T_457a2_row20_col322, #T_457a2_row20_col675, #T_457a2_row20_col705, #T_457a2_row20_col885, #T_457a2_row20_col1042, #T_457a2_row20_col1192, #T_457a2_row20_col1443, #T_457a2_row21_col162, #T_457a2_row21_col319, #T_457a2_row21_col882, #T_457a2_row21_col1039, #T_457a2_row22_col450, #T_457a2_row22_col1087, #T_457a2_row23_col201, #T_457a2_row23_col921, #T_457a2_row24_col11, #T_457a2_row24_col74, #T_457a2_row24_col731 {\n",
       "  background-color: #2484ba;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col89, #T_457a2_row0_col228, #T_457a2_row0_col268, #T_457a2_row0_col597, #T_457a2_row0_col988, #T_457a2_row0_col1240, #T_457a2_row1_col34, #T_457a2_row1_col306, #T_457a2_row1_col513, #T_457a2_row1_col629, #T_457a2_row1_col754, #T_457a2_row1_col1150, #T_457a2_row1_col1176, #T_457a2_row1_col1207, #T_457a2_row2_col36, #T_457a2_row2_col1120, #T_457a2_row2_col1162, #T_457a2_row2_col1177, #T_457a2_row2_col1440, #T_457a2_row3_col123, #T_457a2_row3_col255, #T_457a2_row3_col650, #T_457a2_row3_col688, #T_457a2_row3_col769, #T_457a2_row3_col798, #T_457a2_row3_col843, #T_457a2_row3_col975, #T_457a2_row3_col1343, #T_457a2_row3_col1393, #T_457a2_row4_col126, #T_457a2_row4_col205, #T_457a2_row4_col273, #T_457a2_row4_col314, #T_457a2_row4_col391, #T_457a2_row4_col719, #T_457a2_row4_col925, #T_457a2_row4_col993, #T_457a2_row4_col1034, #T_457a2_row4_col1055, #T_457a2_row4_col1351, #T_457a2_row5_col318, #T_457a2_row5_col1038, #T_457a2_row5_col1241, #T_457a2_row5_col1361, #T_457a2_row5_col1378, #T_457a2_row6_col120, #T_457a2_row6_col356, #T_457a2_row6_col605, #T_457a2_row6_col840, #T_457a2_row6_col1386, #T_457a2_row7_col162, #T_457a2_row7_col265, #T_457a2_row7_col352, #T_457a2_row7_col363, #T_457a2_row7_col437, #T_457a2_row7_col546, #T_457a2_row7_col691, #T_457a2_row7_col885, #T_457a2_row7_col985, #T_457a2_row7_col1072, #T_457a2_row7_col1083, #T_457a2_row7_col1111, #T_457a2_row7_col1143, #T_457a2_row7_col1215, #T_457a2_row7_col1417, #T_457a2_row8_col290, #T_457a2_row8_col429, #T_457a2_row8_col1010, #T_457a2_row9_col564, #T_457a2_row9_col607, #T_457a2_row9_col673, #T_457a2_row9_col1386, #T_457a2_row10_col1422, #T_457a2_row11_col9, #T_457a2_row11_col33, #T_457a2_row11_col729, #T_457a2_row12_col18, #T_457a2_row12_col153, #T_457a2_row12_col325, #T_457a2_row12_col633, #T_457a2_row12_col720, #T_457a2_row12_col738, #T_457a2_row12_col873, #T_457a2_row12_col985, #T_457a2_row12_col1016, #T_457a2_row12_col1045, #T_457a2_row12_col1094, #T_457a2_row12_col1167, #T_457a2_row13_col34, #T_457a2_row13_col273, #T_457a2_row13_col352, #T_457a2_row13_col381, #T_457a2_row13_col495, #T_457a2_row13_col527, #T_457a2_row13_col586, #T_457a2_row13_col754, #T_457a2_row13_col877, #T_457a2_row13_col993, #T_457a2_row13_col1072, #T_457a2_row13_col1089, #T_457a2_row14_col1306, #T_457a2_row14_col1308, #T_457a2_row14_col1398, #T_457a2_row14_col1438, #T_457a2_row15_col393, #T_457a2_row15_col408, #T_457a2_row15_col509, #T_457a2_row15_col1197, #T_457a2_row15_col1389, #T_457a2_row16_col1071, #T_457a2_row16_col1272, #T_457a2_row17_col302, #T_457a2_row17_col406, #T_457a2_row17_col626, #T_457a2_row17_col1125, #T_457a2_row17_col1139, #T_457a2_row17_col1154, #T_457a2_row17_col1387, #T_457a2_row18_col388, #T_457a2_row18_col441, #T_457a2_row18_col454, #T_457a2_row18_col531, #T_457a2_row18_col1277, #T_457a2_row19_col367, #T_457a2_row19_col455, #T_457a2_row19_col608, #T_457a2_row19_col642, #T_457a2_row19_col1169, #T_457a2_row20_col358, #T_457a2_row20_col479, #T_457a2_row20_col604, #T_457a2_row20_col1078, #T_457a2_row20_col1318, #T_457a2_row20_col1320, #T_457a2_row21_col367, #T_457a2_row21_col1278, #T_457a2_row21_col1358, #T_457a2_row22_col502, #T_457a2_row23_col276, #T_457a2_row23_col996, #T_457a2_row24_col1097 {\n",
       "  background-color: #197db7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col90, #T_457a2_row0_col259, #T_457a2_row0_col264, #T_457a2_row0_col300, #T_457a2_row0_col810, #T_457a2_row0_col979, #T_457a2_row0_col984, #T_457a2_row0_col1244, #T_457a2_row1_col189, #T_457a2_row1_col619, #T_457a2_row1_col655, #T_457a2_row1_col899, #T_457a2_row1_col909, #T_457a2_row1_col1208, #T_457a2_row1_col1370, #T_457a2_row2_col71, #T_457a2_row2_col274, #T_457a2_row2_col515, #T_457a2_row2_col723, #T_457a2_row2_col1136, #T_457a2_row2_col1291, #T_457a2_row2_col1312, #T_457a2_row3_col382, #T_457a2_row3_col572, #T_457a2_row3_col658, #T_457a2_row3_col1105, #T_457a2_row3_col1231, #T_457a2_row3_col1407, #T_457a2_row4_col9, #T_457a2_row4_col119, #T_457a2_row4_col729, #T_457a2_row4_col839, #T_457a2_row4_col1416, #T_457a2_row5_col28, #T_457a2_row5_col92, #T_457a2_row5_col384, #T_457a2_row5_col598, #T_457a2_row5_col614, #T_457a2_row5_col748, #T_457a2_row5_col812, #T_457a2_row5_col896, #T_457a2_row5_col1124, #T_457a2_row5_col1173, #T_457a2_row6_col104, #T_457a2_row6_col437, #T_457a2_row6_col468, #T_457a2_row6_col891, #T_457a2_row6_col1432, #T_457a2_row7_col149, #T_457a2_row7_col160, #T_457a2_row7_col174, #T_457a2_row7_col562, #T_457a2_row7_col746, #T_457a2_row7_col869, #T_457a2_row7_col880, #T_457a2_row7_col894, #T_457a2_row8_col365, #T_457a2_row8_col623, #T_457a2_row8_col636, #T_457a2_row8_col661, #T_457a2_row8_col1216, #T_457a2_row8_col1225, #T_457a2_row8_col1298, #T_457a2_row8_col1373, #T_457a2_row9_col539, #T_457a2_row9_col612, #T_457a2_row10_col92, #T_457a2_row10_col335, #T_457a2_row10_col662, #T_457a2_row10_col721, #T_457a2_row10_col812, #T_457a2_row10_col924, #T_457a2_row10_col1059, #T_457a2_row10_col1373, #T_457a2_row11_col445, #T_457a2_row11_col452, #T_457a2_row11_col633, #T_457a2_row11_col1251, #T_457a2_row11_col1289, #T_457a2_row12_col39, #T_457a2_row12_col98, #T_457a2_row12_col306, #T_457a2_row12_col384, #T_457a2_row12_col405, #T_457a2_row12_col629, #T_457a2_row12_col639, #T_457a2_row12_col818, #T_457a2_row12_col1026, #T_457a2_row12_col1245, #T_457a2_row12_col1261, #T_457a2_row12_col1387, #T_457a2_row13_col63, #T_457a2_row13_col215, #T_457a2_row13_col523, #T_457a2_row13_col544, #T_457a2_row13_col783, #T_457a2_row13_col935, #T_457a2_row13_col1174, #T_457a2_row13_col1275, #T_457a2_row14_col365, #T_457a2_row14_col409, #T_457a2_row14_col485, #T_457a2_row14_col551, #T_457a2_row14_col570, #T_457a2_row14_col1130, #T_457a2_row14_col1136, #T_457a2_row15_col21, #T_457a2_row15_col271, #T_457a2_row15_col647, #T_457a2_row15_col741, #T_457a2_row15_col991, #T_457a2_row15_col1281, #T_457a2_row15_col1434, #T_457a2_row16_col293, #T_457a2_row16_col329, #T_457a2_row16_col504, #T_457a2_row16_col600, #T_457a2_row16_col827, #T_457a2_row16_col1049, #T_457a2_row16_col1125, #T_457a2_row16_col1251, #T_457a2_row16_col1378, #T_457a2_row17_col42, #T_457a2_row17_col61, #T_457a2_row17_col246, #T_457a2_row17_col266, #T_457a2_row17_col301, #T_457a2_row17_col762, #T_457a2_row17_col781, #T_457a2_row17_col909, #T_457a2_row17_col986, #T_457a2_row17_col1228, #T_457a2_row18_col283, #T_457a2_row18_col433, #T_457a2_row18_col606, #T_457a2_row18_col827, #T_457a2_row18_col1003, #T_457a2_row18_col1109, #T_457a2_row18_col1388, #T_457a2_row18_col1429, #T_457a2_row18_col1432, #T_457a2_row19_col205, #T_457a2_row19_col234, #T_457a2_row19_col320, #T_457a2_row19_col425, #T_457a2_row19_col954, #T_457a2_row19_col1040, #T_457a2_row19_col1199, #T_457a2_row19_col1213, #T_457a2_row19_col1256, #T_457a2_row19_col1307, #T_457a2_row19_col1342, #T_457a2_row19_col1393, #T_457a2_row20_col14, #T_457a2_row20_col112, #T_457a2_row20_col376, #T_457a2_row20_col645, #T_457a2_row20_col696, #T_457a2_row20_col734, #T_457a2_row20_col746, #T_457a2_row20_col832, #T_457a2_row20_col878, #T_457a2_row20_col963, #T_457a2_row20_col1083, #T_457a2_row20_col1244, #T_457a2_row20_col1282, #T_457a2_row21_col55, #T_457a2_row21_col117, #T_457a2_row21_col402, #T_457a2_row21_col570, #T_457a2_row21_col579, #T_457a2_row21_col775, #T_457a2_row21_col837, #T_457a2_row21_col1204, #T_457a2_row21_col1267, #T_457a2_row21_col1276, #T_457a2_row21_col1434, #T_457a2_row21_col1440, #T_457a2_row22_col40, #T_457a2_row22_col65, #T_457a2_row22_col81, #T_457a2_row22_col218, #T_457a2_row22_col311, #T_457a2_row22_col571, #T_457a2_row22_col760, #T_457a2_row22_col785, #T_457a2_row22_col801, #T_457a2_row22_col1185, #T_457a2_row22_col1284, #T_457a2_row22_col1290, #T_457a2_row22_col1336, #T_457a2_row23_col59, #T_457a2_row23_col76, #T_457a2_row23_col123, #T_457a2_row23_col124, #T_457a2_row23_col409, #T_457a2_row23_col502, #T_457a2_row23_col613, #T_457a2_row23_col779, #T_457a2_row23_col796, #T_457a2_row23_col1070, #T_457a2_row24_col88, #T_457a2_row24_col155, #T_457a2_row24_col174, #T_457a2_row24_col808, #T_457a2_row24_col865, #T_457a2_row24_col875, #T_457a2_row24_col894, #T_457a2_row24_col1070, #T_457a2_row24_col1213, #T_457a2_row24_col1324, #T_457a2_row24_col1390, #T_457a2_row24_col1400 {\n",
       "  background-color: #7bacd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col91, #T_457a2_row0_col262, #T_457a2_row0_col672, #T_457a2_row0_col811, #T_457a2_row0_col982, #T_457a2_row0_col1159, #T_457a2_row0_col1169, #T_457a2_row0_col1330, #T_457a2_row0_col1336, #T_457a2_row1_col709, #T_457a2_row1_col878, #T_457a2_row1_col1178, #T_457a2_row1_col1185, #T_457a2_row1_col1269, #T_457a2_row1_col1395, #T_457a2_row2_col63, #T_457a2_row2_col173, #T_457a2_row2_col218, #T_457a2_row2_col310, #T_457a2_row2_col441, #T_457a2_row2_col783, #T_457a2_row2_col893, #T_457a2_row2_col938, #T_457a2_row2_col1185, #T_457a2_row2_col1225, #T_457a2_row2_col1310, #T_457a2_row2_col1325, #T_457a2_row2_col1424, #T_457a2_row2_col1429, #T_457a2_row3_col23, #T_457a2_row3_col64, #T_457a2_row3_col226, #T_457a2_row3_col282, #T_457a2_row3_col481, #T_457a2_row3_col486, #T_457a2_row3_col685, #T_457a2_row3_col946, #T_457a2_row3_col1002, #T_457a2_row3_col1135, #T_457a2_row3_col1420, #T_457a2_row4_col405, #T_457a2_row4_col694, #T_457a2_row4_col1106, #T_457a2_row4_col1161, #T_457a2_row4_col1427, #T_457a2_row5_col374, #T_457a2_row5_col399, #T_457a2_row5_col503, #T_457a2_row5_col516, #T_457a2_row5_col856, #T_457a2_row5_col946, #T_457a2_row5_col1203, #T_457a2_row5_col1240, #T_457a2_row5_col1291, #T_457a2_row5_col1295, #T_457a2_row5_col1325, #T_457a2_row5_col1432, #T_457a2_row6_col328, #T_457a2_row6_col370, #T_457a2_row6_col1048, #T_457a2_row7_col508, #T_457a2_row7_col714, #T_457a2_row7_col1282, #T_457a2_row7_col1335, #T_457a2_row7_col1422, #T_457a2_row8_col641, #T_457a2_row8_col1366, #T_457a2_row8_col1442, #T_457a2_row9_col313, #T_457a2_row9_col345, #T_457a2_row9_col962, #T_457a2_row9_col1033, #T_457a2_row9_col1095, #T_457a2_row9_col1119, #T_457a2_row9_col1276, #T_457a2_row9_col1442, #T_457a2_row10_col1114, #T_457a2_row10_col1361, #T_457a2_row10_col1398, #T_457a2_row11_col83, #T_457a2_row11_col289, #T_457a2_row11_col651, #T_457a2_row11_col678, #T_457a2_row11_col803, #T_457a2_row11_col851, #T_457a2_row11_col1009, #T_457a2_row11_col1100, #T_457a2_row12_col494, #T_457a2_row12_col573, #T_457a2_row12_col1153, #T_457a2_row12_col1158, #T_457a2_row12_col1225, #T_457a2_row13_col533, #T_457a2_row13_col669, #T_457a2_row13_col704, #T_457a2_row13_col723, #T_457a2_row13_col1361, #T_457a2_row13_col1430, #T_457a2_row13_col1443, #T_457a2_row14_col1094, #T_457a2_row14_col1431, #T_457a2_row15_col279, #T_457a2_row15_col424, #T_457a2_row15_col498, #T_457a2_row15_col698, #T_457a2_row15_col999, #T_457a2_row15_col1284, #T_457a2_row15_col1366, #T_457a2_row15_col1416, #T_457a2_row16_col336, #T_457a2_row16_col1056, #T_457a2_row17_col358, #T_457a2_row17_col1078, #T_457a2_row17_col1136, #T_457a2_row17_col1172, #T_457a2_row17_col1199, #T_457a2_row17_col1343, #T_457a2_row17_col1389, #T_457a2_row17_col1423, #T_457a2_row18_col249, #T_457a2_row18_col316, #T_457a2_row18_col969, #T_457a2_row18_col1036, #T_457a2_row19_col145, #T_457a2_row19_col160, #T_457a2_row19_col290, #T_457a2_row19_col392, #T_457a2_row19_col582, #T_457a2_row19_col651, #T_457a2_row19_col739, #T_457a2_row19_col880, #T_457a2_row19_col1010, #T_457a2_row19_col1124, #T_457a2_row19_col1296, #T_457a2_row20_col167, #T_457a2_row20_col528, #T_457a2_row20_col537, #T_457a2_row20_col1108, #T_457a2_row20_col1160, #T_457a2_row20_col1175, #T_457a2_row20_col1401, #T_457a2_row21_col393, #T_457a2_row21_col507, #T_457a2_row21_col1129, #T_457a2_row21_col1196, #T_457a2_row21_col1290, #T_457a2_row22_col455, #T_457a2_row22_col939, #T_457a2_row22_col1191, #T_457a2_row22_col1319, #T_457a2_row23_col187, #T_457a2_row23_col708, #T_457a2_row23_col862, #T_457a2_row23_col907, #T_457a2_row23_col1263, #T_457a2_row23_col1307, #T_457a2_row23_col1392, #T_457a2_row24_col52, #T_457a2_row24_col542, #T_457a2_row24_col637, #T_457a2_row24_col772 {\n",
       "  background-color: #4496c3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col92, #T_457a2_row0_col381, #T_457a2_row0_col592, #T_457a2_row0_col784, #T_457a2_row0_col1010, #T_457a2_row0_col1134, #T_457a2_row0_col1304, #T_457a2_row1_col378, #T_457a2_row1_col544, #T_457a2_row1_col674, #T_457a2_row2_col9, #T_457a2_row2_col185, #T_457a2_row2_col729, #T_457a2_row2_col1100, #T_457a2_row2_col1426, #T_457a2_row3_col114, #T_457a2_row3_col400, #T_457a2_row3_col511, #T_457a2_row3_col638, #T_457a2_row3_col834, #T_457a2_row3_col1154, #T_457a2_row4_col24, #T_457a2_row4_col330, #T_457a2_row4_col744, #T_457a2_row5_col1415, #T_457a2_row7_col289, #T_457a2_row7_col1009, #T_457a2_row7_col1257, #T_457a2_row8_col1223, #T_457a2_row8_col1239, #T_457a2_row9_col145, #T_457a2_row9_col865, #T_457a2_row9_col867, #T_457a2_row10_col1214, #T_457a2_row11_col339, #T_457a2_row12_col1137, #T_457a2_row12_col1192, #T_457a2_row13_col74, #T_457a2_row13_col141, #T_457a2_row13_col454, #T_457a2_row13_col552, #T_457a2_row13_col833, #T_457a2_row13_col861, #T_457a2_row13_col1438, #T_457a2_row14_col1110, #T_457a2_row14_col1364, #T_457a2_row15_col479, #T_457a2_row15_col720, #T_457a2_row15_col1091, #T_457a2_row15_col1139, #T_457a2_row15_col1314, #T_457a2_row15_col1390, #T_457a2_row17_col375, #T_457a2_row17_col447, #T_457a2_row17_col698, #T_457a2_row18_col1303, #T_457a2_row19_col1125, #T_457a2_row19_col1279, #T_457a2_row20_col43, #T_457a2_row20_col143, #T_457a2_row20_col417, #T_457a2_row20_col521, #T_457a2_row20_col532, #T_457a2_row20_col763, #T_457a2_row20_col863, #T_457a2_row20_col1426, #T_457a2_row22_col731, #T_457a2_row24_col780, #T_457a2_row24_col1375 {\n",
       "  background-color: #045e94;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col93, #T_457a2_row0_col116, #T_457a2_row0_col361, #T_457a2_row0_col574, #T_457a2_row0_col813, #T_457a2_row0_col836, #T_457a2_row0_col1081, #T_457a2_row0_col1214, #T_457a2_row0_col1241, #T_457a2_row0_col1368, #T_457a2_row1_col413, #T_457a2_row1_col470, #T_457a2_row1_col575, #T_457a2_row1_col879, #T_457a2_row1_col1135, #T_457a2_row1_col1197, #T_457a2_row1_col1416, #T_457a2_row2_col131, #T_457a2_row2_col322, #T_457a2_row2_col519, #T_457a2_row2_col597, #T_457a2_row2_col788, #T_457a2_row2_col985, #T_457a2_row2_col1042, #T_457a2_row2_col1067, #T_457a2_row3_col145, #T_457a2_row3_col242, #T_457a2_row3_col268, #T_457a2_row3_col329, #T_457a2_row3_col632, #T_457a2_row3_col865, #T_457a2_row3_col890, #T_457a2_row3_col938, #T_457a2_row3_col962, #T_457a2_row3_col988, #T_457a2_row3_col1049, #T_457a2_row3_col1304, #T_457a2_row3_col1314, #T_457a2_row4_col442, #T_457a2_row4_col609, #T_457a2_row5_col921, #T_457a2_row5_col1150, #T_457a2_row5_col1181, #T_457a2_row6_col127, #T_457a2_row6_col604, #T_457a2_row6_col917, #T_457a2_row7_col203, #T_457a2_row7_col210, #T_457a2_row7_col267, #T_457a2_row7_col359, #T_457a2_row7_col645, #T_457a2_row7_col923, #T_457a2_row7_col930, #T_457a2_row7_col964, #T_457a2_row7_col987, #T_457a2_row7_col1098, #T_457a2_row7_col1275, #T_457a2_row9_col48, #T_457a2_row9_col768, #T_457a2_row9_col899, #T_457a2_row9_col1205, #T_457a2_row9_col1411, #T_457a2_row10_col183, #T_457a2_row10_col903, #T_457a2_row10_col1203, #T_457a2_row11_col25, #T_457a2_row11_col333, #T_457a2_row11_col1053, #T_457a2_row11_col1055, #T_457a2_row12_col49, #T_457a2_row12_col125, #T_457a2_row12_col795, #T_457a2_row12_col825, #T_457a2_row12_col1303, #T_457a2_row13_col136, #T_457a2_row13_col240, #T_457a2_row13_col411, #T_457a2_row13_col603, #T_457a2_row13_col827, #T_457a2_row13_col856, #T_457a2_row13_col960, #T_457a2_row13_col1028, #T_457a2_row13_col1258, #T_457a2_row13_col1291, #T_457a2_row14_col1246, #T_457a2_row15_col185, #T_457a2_row15_col210, #T_457a2_row15_col251, #T_457a2_row15_col263, #T_457a2_row15_col390, #T_457a2_row15_col480, #T_457a2_row15_col627, #T_457a2_row15_col905, #T_457a2_row15_col930, #T_457a2_row15_col971, #T_457a2_row15_col1110, #T_457a2_row15_col1151, #T_457a2_row15_col1235, #T_457a2_row15_col1283, #T_457a2_row15_col1291, #T_457a2_row15_col1293, #T_457a2_row15_col1374, #T_457a2_row16_col234, #T_457a2_row16_col538, #T_457a2_row16_col954, #T_457a2_row16_col1202, #T_457a2_row17_col359, #T_457a2_row17_col1388, #T_457a2_row18_col1123, #T_457a2_row18_col1440, #T_457a2_row19_col315, #T_457a2_row19_col377, #T_457a2_row19_col506, #T_457a2_row19_col1035, #T_457a2_row19_col1238, #T_457a2_row19_col1361, #T_457a2_row20_col39, #T_457a2_row20_col222, #T_457a2_row20_col392, #T_457a2_row20_col759, #T_457a2_row20_col1221, #T_457a2_row20_col1362, #T_457a2_row21_col1154, #T_457a2_row21_col1320, #T_457a2_row21_col1382, #T_457a2_row23_col141, #T_457a2_row23_col607, #T_457a2_row23_col861, #T_457a2_row23_col1236, #T_457a2_row23_col1378, #T_457a2_row24_col460, #T_457a2_row24_col970 {\n",
       "  background-color: #056dab;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col97, #T_457a2_row0_col555, #T_457a2_row0_col1014, #T_457a2_row0_col1187, #T_457a2_row0_col1428, #T_457a2_row1_col143, #T_457a2_row1_col370, #T_457a2_row1_col424, #T_457a2_row1_col461, #T_457a2_row1_col463, #T_457a2_row1_col863, #T_457a2_row1_col1397, #T_457a2_row2_col46, #T_457a2_row2_col105, #T_457a2_row2_col114, #T_457a2_row2_col129, #T_457a2_row2_col283, #T_457a2_row2_col333, #T_457a2_row2_col496, #T_457a2_row2_col636, #T_457a2_row2_col766, #T_457a2_row2_col787, #T_457a2_row2_col834, #T_457a2_row2_col849, #T_457a2_row2_col968, #T_457a2_row2_col1003, #T_457a2_row2_col1053, #T_457a2_row2_col1127, #T_457a2_row3_col174, #T_457a2_row3_col420, #T_457a2_row3_col508, #T_457a2_row3_col555, #T_457a2_row3_col679, #T_457a2_row3_col894, #T_457a2_row3_col1087, #T_457a2_row4_col252, #T_457a2_row4_col401, #T_457a2_row4_col701, #T_457a2_row4_col1129, #T_457a2_row4_col1373, #T_457a2_row5_col251, #T_457a2_row5_col354, #T_457a2_row5_col645, #T_457a2_row5_col971, #T_457a2_row5_col1074, #T_457a2_row5_col1164, #T_457a2_row5_col1175, #T_457a2_row5_col1428, #T_457a2_row5_col1431, #T_457a2_row6_col292, #T_457a2_row6_col474, #T_457a2_row6_col497, #T_457a2_row6_col652, #T_457a2_row6_col745, #T_457a2_row6_col1012, #T_457a2_row6_col1106, #T_457a2_row6_col1406, #T_457a2_row7_col15, #T_457a2_row7_col206, #T_457a2_row7_col443, #T_457a2_row7_col735, #T_457a2_row7_col1112, #T_457a2_row7_col1272, #T_457a2_row8_col164, #T_457a2_row8_col277, #T_457a2_row8_col319, #T_457a2_row8_col336, #T_457a2_row8_col686, #T_457a2_row8_col884, #T_457a2_row8_col997, #T_457a2_row8_col1039, #T_457a2_row8_col1056, #T_457a2_row8_col1285, #T_457a2_row8_col1430, #T_457a2_row9_col30, #T_457a2_row9_col518, #T_457a2_row9_col750, #T_457a2_row9_col1098, #T_457a2_row9_col1114, #T_457a2_row9_col1278, #T_457a2_row10_col64, #T_457a2_row10_col475, #T_457a2_row10_col600, #T_457a2_row10_col702, #T_457a2_row10_col784, #T_457a2_row10_col1022, #T_457a2_row10_col1251, #T_457a2_row10_col1295, #T_457a2_row10_col1311, #T_457a2_row11_col22, #T_457a2_row11_col370, #T_457a2_row11_col959, #T_457a2_row11_col1205, #T_457a2_row11_col1247, #T_457a2_row12_col100, #T_457a2_row12_col260, #T_457a2_row12_col380, #T_457a2_row12_col482, #T_457a2_row12_col820, #T_457a2_row12_col971, #T_457a2_row12_col980, #T_457a2_row13_col89, #T_457a2_row13_col117, #T_457a2_row13_col837, #T_457a2_row13_col862, #T_457a2_row13_col1122, #T_457a2_row13_col1355, #T_457a2_row14_col702, #T_457a2_row14_col1243, #T_457a2_row14_col1355, #T_457a2_row15_col60, #T_457a2_row15_col246, #T_457a2_row15_col278, #T_457a2_row15_col554, #T_457a2_row15_col639, #T_457a2_row15_col706, #T_457a2_row16_col30, #T_457a2_row16_col420, #T_457a2_row16_col750, #T_457a2_row16_col1190, #T_457a2_row16_col1364, #T_457a2_row17_col291, #T_457a2_row17_col418, #T_457a2_row17_col1011, #T_457a2_row17_col1238, #T_457a2_row17_col1331, #T_457a2_row18_col135, #T_457a2_row18_col436, #T_457a2_row18_col629, #T_457a2_row18_col855, #T_457a2_row18_col1076, #T_457a2_row18_col1311, #T_457a2_row18_col1359, #T_457a2_row18_col1417, #T_457a2_row18_col1423, #T_457a2_row18_col1435, #T_457a2_row18_col1441, #T_457a2_row19_col137, #T_457a2_row19_col192, #T_457a2_row19_col241, #T_457a2_row19_col289, #T_457a2_row19_col414, #T_457a2_row19_col422, #T_457a2_row19_col529, #T_457a2_row19_col670, #T_457a2_row19_col857, #T_457a2_row19_col912, #T_457a2_row19_col961, #T_457a2_row19_col1157, #T_457a2_row19_col1158, #T_457a2_row19_col1329, #T_457a2_row20_col79, #T_457a2_row20_col108, #T_457a2_row20_col174, #T_457a2_row20_col258, #T_457a2_row20_col271, #T_457a2_row20_col394, #T_457a2_row20_col447, #T_457a2_row20_col687, #T_457a2_row20_col799, #T_457a2_row20_col828, #T_457a2_row20_col894, #T_457a2_row20_col978, #T_457a2_row21_col54, #T_457a2_row21_col93, #T_457a2_row21_col270, #T_457a2_row21_col474, #T_457a2_row21_col673, #T_457a2_row21_col774, #T_457a2_row21_col813, #T_457a2_row21_col990, #T_457a2_row21_col1362, #T_457a2_row22_col567, #T_457a2_row22_col634, #T_457a2_row22_col1118, #T_457a2_row22_col1161, #T_457a2_row22_col1391, #T_457a2_row23_col260, #T_457a2_row23_col374, #T_457a2_row23_col413, #T_457a2_row23_col423, #T_457a2_row23_col624, #T_457a2_row23_col850, #T_457a2_row23_col980, #T_457a2_row23_col1212, #T_457a2_row24_col6, #T_457a2_row24_col564, #T_457a2_row24_col726, #T_457a2_row24_col1319 {\n",
       "  background-color: #84b0d3;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col99, #T_457a2_row0_col232, #T_457a2_row0_col448, #T_457a2_row0_col677, #T_457a2_row0_col819, #T_457a2_row0_col952, #T_457a2_row0_col1094, #T_457a2_row0_col1350, #T_457a2_row1_col192, #T_457a2_row1_col912, #T_457a2_row1_col1030, #T_457a2_row1_col1159, #T_457a2_row1_col1220, #T_457a2_row1_col1390, #T_457a2_row2_col144, #T_457a2_row2_col650, #T_457a2_row2_col864, #T_457a2_row2_col956, #T_457a2_row2_col1102, #T_457a2_row2_col1264, #T_457a2_row2_col1336, #T_457a2_row2_col1421, #T_457a2_row3_col151, #T_457a2_row3_col155, #T_457a2_row3_col236, #T_457a2_row3_col313, #T_457a2_row3_col342, #T_457a2_row3_col440, #T_457a2_row3_col594, #T_457a2_row3_col674, #T_457a2_row3_col689, #T_457a2_row3_col871, #T_457a2_row3_col875, #T_457a2_row3_col956, #T_457a2_row3_col1183, #T_457a2_row3_col1255, #T_457a2_row4_col305, #T_457a2_row4_col332, #T_457a2_row4_col633, #T_457a2_row4_col667, #T_457a2_row4_col1025, #T_457a2_row4_col1052, #T_457a2_row4_col1369, #T_457a2_row4_col1396, #T_457a2_row5_col103, #T_457a2_row5_col158, #T_457a2_row5_col184, #T_457a2_row5_col904, #T_457a2_row5_col1103, #T_457a2_row5_col1166, #T_457a2_row6_col488, #T_457a2_row6_col712, #T_457a2_row6_col927, #T_457a2_row6_col1299, #T_457a2_row6_col1319, #T_457a2_row6_col1408, #T_457a2_row7_col323, #T_457a2_row7_col502, #T_457a2_row7_col705, #T_457a2_row7_col999, #T_457a2_row7_col1133, #T_457a2_row8_col444, #T_457a2_row8_col1135, #T_457a2_row8_col1158, #T_457a2_row8_col1161, #T_457a2_row8_col1313, #T_457a2_row9_col312, #T_457a2_row9_col360, #T_457a2_row9_col907, #T_457a2_row9_col921, #T_457a2_row9_col1032, #T_457a2_row9_col1080, #T_457a2_row9_col1319, #T_457a2_row10_col5, #T_457a2_row10_col299, #T_457a2_row11_col82, #T_457a2_row11_col269, #T_457a2_row11_col327, #T_457a2_row11_col802, #T_457a2_row11_col989, #T_457a2_row11_col1047, #T_457a2_row12_col47, #T_457a2_row12_col624, #T_457a2_row12_col659, #T_457a2_row12_col767, #T_457a2_row12_col1066, #T_457a2_row12_col1159, #T_457a2_row12_col1234, #T_457a2_row12_col1248, #T_457a2_row12_col1308, #T_457a2_row12_col1348, #T_457a2_row12_col1403, #T_457a2_row13_col433, #T_457a2_row13_col509, #T_457a2_row13_col890, #T_457a2_row14_col418, #T_457a2_row14_col1193, #T_457a2_row14_col1377, #T_457a2_row14_col1408, #T_457a2_row15_col20, #T_457a2_row15_col156, #T_457a2_row15_col470, #T_457a2_row15_col482, #T_457a2_row15_col514, #T_457a2_row15_col670, #T_457a2_row15_col740, #T_457a2_row15_col781, #T_457a2_row15_col876, #T_457a2_row16_col1247, #T_457a2_row17_col83, #T_457a2_row17_col255, #T_457a2_row17_col496, #T_457a2_row17_col711, #T_457a2_row17_col760, #T_457a2_row17_col803, #T_457a2_row17_col975, #T_457a2_row17_col1402, #T_457a2_row18_col103, #T_457a2_row18_col823, #T_457a2_row19_col239, #T_457a2_row19_col299, #T_457a2_row19_col959, #T_457a2_row19_col1019, #T_457a2_row19_col1127, #T_457a2_row19_col1178, #T_457a2_row19_col1194, #T_457a2_row19_col1278, #T_457a2_row19_col1302, #T_457a2_row19_col1421, #T_457a2_row20_col32, #T_457a2_row20_col60, #T_457a2_row20_col752, #T_457a2_row20_col780, #T_457a2_row20_col1131, #T_457a2_row20_col1187, #T_457a2_row20_col1377, #T_457a2_row21_col241, #T_457a2_row21_col536, #T_457a2_row21_col613, #T_457a2_row21_col659, #T_457a2_row21_col961, #T_457a2_row21_col1077, #T_457a2_row22_col584, #T_457a2_row22_col1055, #T_457a2_row22_col1436, #T_457a2_row23_col17, #T_457a2_row23_col479, #T_457a2_row24_col1373 {\n",
       "  background-color: #2081b9;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #0568a3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col101, #T_457a2_row0_col113, #T_457a2_row0_col705, #T_457a2_row0_col833, #T_457a2_row0_col1356, #T_457a2_row1_col142, #T_457a2_row1_col150, #T_457a2_row1_col208, #T_457a2_row1_col437, #T_457a2_row1_col538, #T_457a2_row1_col549, #T_457a2_row1_col862, #T_457a2_row1_col870, #T_457a2_row1_col928, #T_457a2_row1_col1083, #T_457a2_row2_col40, #T_457a2_row2_col300, #T_457a2_row2_col572, #T_457a2_row2_col1020, #T_457a2_row3_col543, #T_457a2_row3_col610, #T_457a2_row3_col782, #T_457a2_row3_col1092, #T_457a2_row4_col1095, #T_457a2_row4_col1349, #T_457a2_row5_col25, #T_457a2_row5_col264, #T_457a2_row5_col509, #T_457a2_row5_col572, #T_457a2_row5_col617, #T_457a2_row5_col745, #T_457a2_row5_col859, #T_457a2_row5_col984, #T_457a2_row5_col1107, #T_457a2_row5_col1443, #T_457a2_row6_col101, #T_457a2_row6_col262, #T_457a2_row6_col668, #T_457a2_row6_col669, #T_457a2_row6_col821, #T_457a2_row6_col1124, #T_457a2_row6_col1221, #T_457a2_row6_col1286, #T_457a2_row6_col1416, #T_457a2_row7_col155, #T_457a2_row7_col238, #T_457a2_row7_col1193, #T_457a2_row8_col316, #T_457a2_row8_col354, #T_457a2_row8_col375, #T_457a2_row8_col688, #T_457a2_row8_col1016, #T_457a2_row8_col1036, #T_457a2_row8_col1074, #T_457a2_row8_col1272, #T_457a2_row9_col27, #T_457a2_row9_col66, #T_457a2_row9_col149, #T_457a2_row9_col524, #T_457a2_row9_col882, #T_457a2_row9_col1368, #T_457a2_row10_col63, #T_457a2_row10_col132, #T_457a2_row10_col226, #T_457a2_row10_col282, #T_457a2_row10_col309, #T_457a2_row10_col324, #T_457a2_row10_col368, #T_457a2_row10_col472, #T_457a2_row10_col556, #T_457a2_row10_col632, #T_457a2_row10_col637, #T_457a2_row10_col688, #T_457a2_row10_col701, #T_457a2_row10_col783, #T_457a2_row10_col946, #T_457a2_row10_col1002, #T_457a2_row10_col1044, #T_457a2_row10_col1343, #T_457a2_row11_col457, #T_457a2_row11_col962, #T_457a2_row11_col1093, #T_457a2_row11_col1096, #T_457a2_row11_col1354, #T_457a2_row11_col1377, #T_457a2_row12_col185, #T_457a2_row12_col190, #T_457a2_row12_col379, #T_457a2_row12_col540, #T_457a2_row12_col631, #T_457a2_row12_col657, #T_457a2_row12_col823, #T_457a2_row12_col910, #T_457a2_row13_col449, #T_457a2_row13_col695, #T_457a2_row13_col1056, #T_457a2_row14_col224, #T_457a2_row14_col407, #T_457a2_row14_col533, #T_457a2_row14_col944, #T_457a2_row14_col1018, #T_457a2_row15_col608, #T_457a2_row15_col727, #T_457a2_row16_col93, #T_457a2_row16_col380, #T_457a2_row16_col393, #T_457a2_row16_col395, #T_457a2_row16_col503, #T_457a2_row16_col709, #T_457a2_row16_col1144, #T_457a2_row16_col1204, #T_457a2_row16_col1250, #T_457a2_row17_col56, #T_457a2_row17_col475, #T_457a2_row17_col478, #T_457a2_row17_col776, #T_457a2_row17_col834, #T_457a2_row17_col1243, #T_457a2_row17_col1272, #T_457a2_row18_col76, #T_457a2_row18_col295, #T_457a2_row18_col442, #T_457a2_row18_col530, #T_457a2_row18_col585, #T_457a2_row18_col699, #T_457a2_row18_col723, #T_457a2_row18_col796, #T_457a2_row18_col1016, #T_457a2_row18_col1110, #T_457a2_row18_col1231, #T_457a2_row19_col362, #T_457a2_row19_col386, #T_457a2_row19_col470, #T_457a2_row19_col838, #T_457a2_row19_col927, #T_457a2_row19_col1332, #T_457a2_row20_col31, #T_457a2_row20_col626, #T_457a2_row20_col751, #T_457a2_row20_col1053, #T_457a2_row21_col18, #T_457a2_row21_col261, #T_457a2_row21_col452, #T_457a2_row21_col510, #T_457a2_row21_col684, #T_457a2_row21_col719, #T_457a2_row21_col738, #T_457a2_row21_col740, #T_457a2_row21_col981, #T_457a2_row21_col1015, #T_457a2_row21_col1327, #T_457a2_row22_col177, #T_457a2_row22_col181, #T_457a2_row22_col195, #T_457a2_row22_col221, #T_457a2_row22_col262, #T_457a2_row22_col271, #T_457a2_row22_col322, #T_457a2_row22_col423, #T_457a2_row22_col424, #T_457a2_row22_col552, #T_457a2_row22_col573, #T_457a2_row22_col659, #T_457a2_row22_col915, #T_457a2_row22_col941, #T_457a2_row22_col982, #T_457a2_row22_col991, #T_457a2_row22_col1128, #T_457a2_row22_col1168, #T_457a2_row22_col1225, #T_457a2_row22_col1419, #T_457a2_row23_col67, #T_457a2_row23_col162, #T_457a2_row23_col169, #T_457a2_row23_col193, #T_457a2_row23_col280, #T_457a2_row23_col531, #T_457a2_row23_col787, #T_457a2_row23_col882, #T_457a2_row23_col889, #T_457a2_row23_col913, #T_457a2_row23_col1106, #T_457a2_row23_col1308, #T_457a2_row24_col33, #T_457a2_row24_col109, #T_457a2_row24_col177, #T_457a2_row24_col614, #T_457a2_row24_col897, #T_457a2_row24_col1297, #T_457a2_row24_col1429 {\n",
       "  background-color: #b9c6e0;\n",
       "  color: #000000;\n",
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       "  background-color: #67a4cc;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #358fc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col107, #T_457a2_row0_col286, #T_457a2_row0_col711, #T_457a2_row0_col827, #T_457a2_row0_col1383, #T_457a2_row1_col13, #T_457a2_row1_col144, #T_457a2_row1_col213, #T_457a2_row1_col328, #T_457a2_row1_col377, #T_457a2_row1_col733, #T_457a2_row1_col933, #T_457a2_row2_col151, #T_457a2_row2_col328, #T_457a2_row2_col871, #T_457a2_row2_col1048, #T_457a2_row2_col1249, #T_457a2_row3_col100, #T_457a2_row3_col101, #T_457a2_row3_col820, #T_457a2_row3_col821, #T_457a2_row4_col168, #T_457a2_row4_col550, #T_457a2_row4_col617, #T_457a2_row4_col686, #T_457a2_row4_col888, #T_457a2_row4_col1239, #T_457a2_row4_col1257, #T_457a2_row5_col311, #T_457a2_row5_col362, #T_457a2_row5_col422, #T_457a2_row5_col528, #T_457a2_row5_col828, #T_457a2_row5_col1031, #T_457a2_row5_col1183, #T_457a2_row6_col63, #T_457a2_row6_col215, #T_457a2_row6_col236, #T_457a2_row6_col415, #T_457a2_row6_col500, #T_457a2_row6_col783, #T_457a2_row6_col878, #T_457a2_row6_col923, #T_457a2_row6_col956, #T_457a2_row6_col1104, #T_457a2_row6_col1155, #T_457a2_row6_col1159, #T_457a2_row6_col1400, #T_457a2_row8_col146, #T_457a2_row8_col639, #T_457a2_row8_col1217, #T_457a2_row9_col35, #T_457a2_row9_col409, #T_457a2_row9_col431, #T_457a2_row9_col663, #T_457a2_row9_col755, #T_457a2_row9_col1199, #T_457a2_row9_col1282, #T_457a2_row9_col1356, #T_457a2_row9_col1436, #T_457a2_row10_col37, #T_457a2_row10_col109, #T_457a2_row10_col171, #T_457a2_row10_col199, #T_457a2_row10_col227, #T_457a2_row10_col583, #T_457a2_row10_col593, #T_457a2_row10_col641, #T_457a2_row10_col711, #T_457a2_row10_col713, #T_457a2_row10_col757, #T_457a2_row10_col891, #T_457a2_row10_col919, #T_457a2_row10_col947, #T_457a2_row10_col1058, #T_457a2_row10_col1112, #T_457a2_row10_col1136, #T_457a2_row11_col76, #T_457a2_row11_col458, #T_457a2_row11_col624, #T_457a2_row11_col689, #T_457a2_row11_col796, #T_457a2_row11_col1236, #T_457a2_row11_col1380, #T_457a2_row12_col369, #T_457a2_row12_col542, #T_457a2_row12_col584, #T_457a2_row12_col799, #T_457a2_row12_col882, #T_457a2_row13_col417, #T_457a2_row13_col559, #T_457a2_row13_col1243, #T_457a2_row13_col1354, #T_457a2_row14_col25, #T_457a2_row14_col118, #T_457a2_row14_col177, #T_457a2_row14_col256, #T_457a2_row14_col264, #T_457a2_row14_col323, #T_457a2_row14_col401, #T_457a2_row14_col595, #T_457a2_row14_col684, #T_457a2_row14_col745, #T_457a2_row14_col830, #T_457a2_row14_col976, #T_457a2_row14_col984, #T_457a2_row15_col223, #T_457a2_row15_col423, #T_457a2_row15_col943, #T_457a2_row16_col112, #T_457a2_row16_col130, #T_457a2_row16_col333, #T_457a2_row16_col376, #T_457a2_row16_col540, #T_457a2_row16_col588, #T_457a2_row16_col700, #T_457a2_row16_col713, #T_457a2_row16_col832, #T_457a2_row16_col851, #T_457a2_row16_col1053, #T_457a2_row16_col1241, #T_457a2_row16_col1258, #T_457a2_row16_col1327, #T_457a2_row17_col78, #T_457a2_row17_col172, #T_457a2_row17_col324, #T_457a2_row17_col798, #T_457a2_row17_col892, #T_457a2_row17_col1044, #T_457a2_row17_col1193, #T_457a2_row18_col461, #T_457a2_row19_col200, #T_457a2_row19_col611, #T_457a2_row19_col879, #T_457a2_row19_col920, #T_457a2_row19_col1431, #T_457a2_row20_col529, #T_457a2_row20_col625, #T_457a2_row21_col73, #T_457a2_row21_col101, #T_457a2_row21_col156, #T_457a2_row21_col237, #T_457a2_row21_col281, #T_457a2_row21_col355, #T_457a2_row21_col539, #T_457a2_row21_col585, #T_457a2_row21_col821, #T_457a2_row21_col957, #T_457a2_row21_col1001, #T_457a2_row21_col1050, #T_457a2_row21_col1075, #T_457a2_row21_col1184, #T_457a2_row22_col79, #T_457a2_row22_col354, #T_457a2_row22_col647, #T_457a2_row22_col656, #T_457a2_row22_col663, #T_457a2_row22_col705, #T_457a2_row22_col723, #T_457a2_row22_col968, #T_457a2_row22_col1074, #T_457a2_row23_col98, #T_457a2_row23_col229, #T_457a2_row23_col384, #T_457a2_row23_col397, #T_457a2_row23_col556, #T_457a2_row23_col584, #T_457a2_row23_col597, #T_457a2_row23_col662, #T_457a2_row23_col818, #T_457a2_row23_col949, #T_457a2_row23_col1130, #T_457a2_row23_col1244, #T_457a2_row23_col1280, #T_457a2_row23_col1427, #T_457a2_row24_col161, #T_457a2_row24_col268, #T_457a2_row24_col447, #T_457a2_row24_col699, #T_457a2_row24_col881, #T_457a2_row24_col1208, #T_457a2_row24_col1419 {\n",
       "  background-color: #cacee5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col109, #T_457a2_row0_col284, #T_457a2_row0_col598, #T_457a2_row0_col829, #T_457a2_row1_col9, #T_457a2_row1_col218, #T_457a2_row1_col729, #T_457a2_row1_col938, #T_457a2_row1_col1006, #T_457a2_row2_col28, #T_457a2_row2_col123, #T_457a2_row2_col467, #T_457a2_row2_col539, #T_457a2_row2_col679, #T_457a2_row2_col748, #T_457a2_row2_col843, #T_457a2_row2_col1272, #T_457a2_row2_col1419, #T_457a2_row3_col10, #T_457a2_row3_col267, #T_457a2_row3_col711, #T_457a2_row3_col730, #T_457a2_row3_col781, #T_457a2_row3_col952, #T_457a2_row3_col987, #T_457a2_row3_col1241, #T_457a2_row4_col152, #T_457a2_row4_col303, #T_457a2_row4_col872, #T_457a2_row4_col1110, #T_457a2_row4_col1133, #T_457a2_row5_col68, #T_457a2_row5_col643, #T_457a2_row5_col661, #T_457a2_row5_col788, #T_457a2_row5_col987, #T_457a2_row6_col401, #T_457a2_row6_col575, #T_457a2_row6_col703, #T_457a2_row6_col759, #T_457a2_row6_col1169, #T_457a2_row8_col263, #T_457a2_row8_col265, #T_457a2_row8_col317, #T_457a2_row8_col504, #T_457a2_row8_col983, #T_457a2_row8_col985, #T_457a2_row8_col1037, #T_457a2_row9_col430, #T_457a2_row9_col592, #T_457a2_row9_col645, #T_457a2_row9_col956, #T_457a2_row10_col114, #T_457a2_row10_col200, #T_457a2_row10_col273, #T_457a2_row10_col529, #T_457a2_row10_col883, #T_457a2_row10_col920, #T_457a2_row10_col943, #T_457a2_row10_col1006, #T_457a2_row10_col1092, #T_457a2_row10_col1178, #T_457a2_row10_col1339, #T_457a2_row11_col18, #T_457a2_row11_col332, #T_457a2_row11_col432, #T_457a2_row11_col1052, #T_457a2_row11_col1266, #T_457a2_row12_col124, #T_457a2_row12_col803, #T_457a2_row12_col844, #T_457a2_row12_col1085, #T_457a2_row13_col407, #T_457a2_row13_col591, #T_457a2_row13_col950, #T_457a2_row13_col1128, #T_457a2_row14_col498, #T_457a2_row14_col500, #T_457a2_row14_col607, #T_457a2_row14_col1224, #T_457a2_row15_col109, #T_457a2_row15_col155, #T_457a2_row15_col303, #T_457a2_row15_col388, #T_457a2_row15_col759, #T_457a2_row15_col829, #T_457a2_row15_col875, #T_457a2_row15_col1007, #T_457a2_row15_col1083, #T_457a2_row15_col1104, #T_457a2_row16_col21, #T_457a2_row16_col64, #T_457a2_row16_col145, #T_457a2_row16_col334, #T_457a2_row16_col466, #T_457a2_row16_col803, #T_457a2_row16_col865, #T_457a2_row16_col1054, #T_457a2_row16_col1062, #T_457a2_row16_col1287, #T_457a2_row17_col104, #T_457a2_row17_col210, #T_457a2_row17_col517, #T_457a2_row17_col563, #T_457a2_row17_col824, #T_457a2_row17_col930, #T_457a2_row17_col1090, #T_457a2_row18_col34, #T_457a2_row18_col220, #T_457a2_row18_col225, #T_457a2_row18_col342, #T_457a2_row18_col349, #T_457a2_row18_col754, #T_457a2_row18_col885, #T_457a2_row18_col945, #T_457a2_row18_col1062, #T_457a2_row18_col1069, #T_457a2_row18_col1442, #T_457a2_row19_col173, #T_457a2_row19_col276, #T_457a2_row19_col445, #T_457a2_row19_col849, #T_457a2_row19_col893, #T_457a2_row19_col956, #T_457a2_row19_col1172, #T_457a2_row19_col1173, #T_457a2_row19_col1246, #T_457a2_row20_col283, #T_457a2_row20_col756, #T_457a2_row20_col1003, #T_457a2_row21_col6, #T_457a2_row21_col24, #T_457a2_row21_col150, #T_457a2_row21_col318, #T_457a2_row21_col437, #T_457a2_row21_col660, #T_457a2_row21_col712, #T_457a2_row21_col726, #T_457a2_row21_col870, #T_457a2_row21_col1038, #T_457a2_row21_col1392, #T_457a2_row22_col167, #T_457a2_row22_col214, #T_457a2_row22_col395, #T_457a2_row22_col426, #T_457a2_row22_col562, #T_457a2_row22_col693, #T_457a2_row22_col887, #T_457a2_row22_col934, #T_457a2_row22_col1331, #T_457a2_row22_col1380, #T_457a2_row22_col1388, #T_457a2_row22_col1410, #T_457a2_row22_col1416, #T_457a2_row23_col15, #T_457a2_row23_col38, #T_457a2_row23_col80, #T_457a2_row23_col214, #T_457a2_row23_col405, #T_457a2_row23_col453, #T_457a2_row23_col525, #T_457a2_row23_col558, #T_457a2_row23_col637, #T_457a2_row23_col800, #T_457a2_row23_col881, #T_457a2_row23_col934, #T_457a2_row23_col1010, #T_457a2_row23_col1297, #T_457a2_row23_col1405, #T_457a2_row23_col1415, #T_457a2_row24_col222, #T_457a2_row24_col594, #T_457a2_row24_col721, #T_457a2_row24_col942, #T_457a2_row24_col1006, #T_457a2_row24_col1247, #T_457a2_row24_col1249, #T_457a2_row24_col1372 {\n",
       "  background-color: #b0c2de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col110, #T_457a2_row0_col191, #T_457a2_row0_col911, #T_457a2_row0_col1056, #T_457a2_row0_col1316, #T_457a2_row0_col1406, #T_457a2_row1_col371, #T_457a2_row1_col693, #T_457a2_row1_col967, #T_457a2_row2_col22, #T_457a2_row2_col128, #T_457a2_row2_col397, #T_457a2_row2_col408, #T_457a2_row2_col848, #T_457a2_row2_col1404, #T_457a2_row3_col40, #T_457a2_row3_col433, #T_457a2_row3_col568, #T_457a2_row3_col690, #T_457a2_row3_col1110, #T_457a2_row3_col1131, #T_457a2_row3_col1134, #T_457a2_row3_col1307, #T_457a2_row3_col1356, #T_457a2_row3_col1357, #T_457a2_row4_col394, #T_457a2_row4_col517, #T_457a2_row4_col630, #T_457a2_row5_col29, #T_457a2_row5_col388, #T_457a2_row5_col744, #T_457a2_row5_col1126, #T_457a2_row5_col1355, #T_457a2_row6_col177, #T_457a2_row6_col290, #T_457a2_row6_col1313, #T_457a2_row7_col58, #T_457a2_row7_col213, #T_457a2_row7_col258, #T_457a2_row7_col381, #T_457a2_row7_col519, #T_457a2_row7_col628, #T_457a2_row7_col933, #T_457a2_row7_col978, #T_457a2_row7_col1084, #T_457a2_row7_col1146, #T_457a2_row7_col1157, #T_457a2_row8_col50, #T_457a2_row8_col770, #T_457a2_row8_col1137, #T_457a2_row8_col1386, #T_457a2_row9_col62, #T_457a2_row9_col420, #T_457a2_row9_col503, #T_457a2_row9_col675, #T_457a2_row9_col1162, #T_457a2_row9_col1299, #T_457a2_row9_col1430, #T_457a2_row10_col1275, #T_457a2_row10_col1380, #T_457a2_row10_col1440, #T_457a2_row11_col99, #T_457a2_row11_col206, #T_457a2_row11_col341, #T_457a2_row11_col592, #T_457a2_row11_col819, #T_457a2_row11_col1061, #T_457a2_row11_col1373, #T_457a2_row12_col245, #T_457a2_row12_col276, #T_457a2_row12_col965, #T_457a2_row12_col996, #T_457a2_row12_col1022, #T_457a2_row12_col1109, #T_457a2_row12_col1330, #T_457a2_row13_col213, #T_457a2_row13_col251, #T_457a2_row13_col933, #T_457a2_row13_col971, #T_457a2_row13_col1185, #T_457a2_row13_col1236, #T_457a2_row14_col444, #T_457a2_row14_col1248, #T_457a2_row15_col205, #T_457a2_row15_col267, #T_457a2_row15_col290, #T_457a2_row15_col322, #T_457a2_row15_col459, #T_457a2_row15_col622, #T_457a2_row15_col692, #T_457a2_row15_col925, #T_457a2_row15_col987, #T_457a2_row15_col1042, #T_457a2_row15_col1092, #T_457a2_row15_col1335, #T_457a2_row16_col642, #T_457a2_row17_col134, #T_457a2_row17_col235, #T_457a2_row17_col315, #T_457a2_row17_col325, #T_457a2_row17_col854, #T_457a2_row17_col955, #T_457a2_row17_col1045, #T_457a2_row17_col1257, #T_457a2_row17_col1324, #T_457a2_row18_col94, #T_457a2_row18_col498, #T_457a2_row18_col814, #T_457a2_row18_col1120, #T_457a2_row19_col78, #T_457a2_row19_col268, #T_457a2_row19_col720, #T_457a2_row19_col758, #T_457a2_row19_col798, #T_457a2_row19_col850, #T_457a2_row19_col988, #T_457a2_row19_col997, #T_457a2_row19_col1259, #T_457a2_row19_col1306, #T_457a2_row19_col1330, #T_457a2_row19_col1333, #T_457a2_row19_col1408, #T_457a2_row19_col1439, #T_457a2_row20_col104, #T_457a2_row20_col161, #T_457a2_row20_col418, #T_457a2_row20_col421, #T_457a2_row20_col475, #T_457a2_row20_col824, #T_457a2_row20_col1206, #T_457a2_row20_col1422, #T_457a2_row21_col602, #T_457a2_row21_col746, #T_457a2_row21_col1189, #T_457a2_row21_col1212, #T_457a2_row22_col102, #T_457a2_row22_col116, #T_457a2_row22_col602, #T_457a2_row22_col836, #T_457a2_row22_col983, #T_457a2_row23_col661, #T_457a2_row23_col870, #T_457a2_row23_col1208, #T_457a2_row23_col1228, #T_457a2_row24_col240, #T_457a2_row24_col818 {\n",
       "  background-color: #2d8abd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col111, #T_457a2_row0_col127, #T_457a2_row0_col136, #T_457a2_row0_col251, #T_457a2_row0_col390, #T_457a2_row0_col831, #T_457a2_row0_col856, #T_457a2_row0_col971, #T_457a2_row0_col1119, #T_457a2_row0_col1233, #T_457a2_row0_col1354, #T_457a2_row1_col314, #T_457a2_row1_col526, #T_457a2_row1_col552, #T_457a2_row1_col742, #T_457a2_row1_col1034, #T_457a2_row1_col1109, #T_457a2_row1_col1113, #T_457a2_row1_col1163, #T_457a2_row1_col1433, #T_457a2_row2_col68, #T_457a2_row2_col323, #T_457a2_row2_col699, #T_457a2_row2_col1043, #T_457a2_row3_col108, #T_457a2_row3_col218, #T_457a2_row3_col228, #T_457a2_row3_col406, #T_457a2_row3_col676, #T_457a2_row3_col705, #T_457a2_row3_col828, #T_457a2_row3_col948, #T_457a2_row3_col1151, #T_457a2_row3_col1251, #T_457a2_row3_col1409, #T_457a2_row4_col53, #T_457a2_row4_col361, #T_457a2_row4_col773, #T_457a2_row4_col1071, #T_457a2_row4_col1081, #T_457a2_row5_col187, #T_457a2_row5_col907, #T_457a2_row6_col452, #T_457a2_row6_col662, #T_457a2_row6_col847, #T_457a2_row7_col568, #T_457a2_row7_col719, #T_457a2_row7_col1162, #T_457a2_row7_col1355, #T_457a2_row8_col431, #T_457a2_row8_col696, #T_457a2_row8_col1256, #T_457a2_row8_col1275, #T_457a2_row8_col1413, #T_457a2_row9_col179, #T_457a2_row9_col182, #T_457a2_row9_col315, #T_457a2_row9_col317, #T_457a2_row9_col1035, #T_457a2_row9_col1323, #T_457a2_row10_col1162, #T_457a2_row11_col134, #T_457a2_row11_col335, #T_457a2_row11_col665, #T_457a2_row11_col745, #T_457a2_row11_col854, #T_457a2_row12_col71, #T_457a2_row12_col75, #T_457a2_row12_col315, #T_457a2_row12_col475, #T_457a2_row12_col791, #T_457a2_row12_col1035, #T_457a2_row12_col1097, #T_457a2_row12_col1102, #T_457a2_row13_col135, #T_457a2_row13_col228, #T_457a2_row13_col245, #T_457a2_row13_col308, #T_457a2_row13_col529, #T_457a2_row13_col664, #T_457a2_row13_col855, #T_457a2_row13_col948, #T_457a2_row14_col1268, #T_457a2_row14_col1415, #T_457a2_row15_col59, #T_457a2_row15_col361, #T_457a2_row15_col643, #T_457a2_row15_col668, #T_457a2_row15_col983, #T_457a2_row15_col1081, #T_457a2_row15_col1134, #T_457a2_row15_col1324, #T_457a2_row15_col1387, #T_457a2_row16_col397, #T_457a2_row17_col158, #T_457a2_row17_col608, #T_457a2_row17_col671, #T_457a2_row17_col1391, #T_457a2_row18_col1117, #T_457a2_row18_col1352, #T_457a2_row19_col547, #T_457a2_row19_col592, #T_457a2_row19_col1283, #T_457a2_row20_col170, #T_457a2_row20_col315, #T_457a2_row20_col890, #T_457a2_row20_col942, #T_457a2_row20_col1035, #T_457a2_row20_col1216, #T_457a2_row20_col1241, #T_457a2_row20_col1281, #T_457a2_row20_col1381, #T_457a2_row21_col630, #T_457a2_row21_col1135, #T_457a2_row21_col1153, #T_457a2_row23_col271, #T_457a2_row23_col991, #T_457a2_row24_col184, #T_457a2_row24_col250, #T_457a2_row24_col275, #T_457a2_row24_col904, #T_457a2_row24_col995 {\n",
       "  background-color: #056dac;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col112, #T_457a2_row0_col139, #T_457a2_row0_col142, #T_457a2_row0_col657, #T_457a2_row0_col674, #T_457a2_row0_col832, #T_457a2_row0_col859, #T_457a2_row0_col862, #T_457a2_row0_col890, #T_457a2_row0_col948, #T_457a2_row0_col1140, #T_457a2_row0_col1223, #T_457a2_row1_col419, #T_457a2_row1_col781, #T_457a2_row1_col1026, #T_457a2_row1_col1110, #T_457a2_row1_col1181, #T_457a2_row1_col1414, #T_457a2_row2_col5, #T_457a2_row2_col623, #T_457a2_row2_col756, #T_457a2_row2_col1237, #T_457a2_row2_col1273, #T_457a2_row2_col1299, #T_457a2_row3_col69, #T_457a2_row3_col78, #T_457a2_row3_col453, #T_457a2_row3_col687, #T_457a2_row3_col789, #T_457a2_row3_col1206, #T_457a2_row3_col1259, #T_457a2_row3_col1361, #T_457a2_row3_col1408, #T_457a2_row4_col46, #T_457a2_row4_col67, #T_457a2_row4_col249, #T_457a2_row4_col707, #T_457a2_row4_col766, #T_457a2_row4_col787, #T_457a2_row4_col846, #T_457a2_row4_col1409, #T_457a2_row5_col1308, #T_457a2_row6_col659, #T_457a2_row6_col1391, #T_457a2_row7_col23, #T_457a2_row7_col165, #T_457a2_row7_col531, #T_457a2_row7_col535, #T_457a2_row7_col640, #T_457a2_row7_col882, #T_457a2_row7_col1291, #T_457a2_row7_col1350, #T_457a2_row8_col409, #T_457a2_row8_col1169, #T_457a2_row8_col1381, #T_457a2_row9_col379, #T_457a2_row10_col1200, #T_457a2_row10_col1260, #T_457a2_row11_col17, #T_457a2_row11_col124, #T_457a2_row11_col201, #T_457a2_row11_col462, #T_457a2_row11_col737, #T_457a2_row11_col844, #T_457a2_row11_col921, #T_457a2_row11_col1132, #T_457a2_row12_col234, #T_457a2_row12_col265, #T_457a2_row12_col286, #T_457a2_row12_col296, #T_457a2_row12_col637, #T_457a2_row12_col830, #T_457a2_row12_col954, #T_457a2_row12_col1006, #T_457a2_row12_col1101, #T_457a2_row12_col1119, #T_457a2_row12_col1299, #T_457a2_row12_col1320, #T_457a2_row13_col184, #T_457a2_row13_col235, #T_457a2_row13_col261, #T_457a2_row13_col268, #T_457a2_row13_col594, #T_457a2_row13_col904, #T_457a2_row13_col955, #T_457a2_row13_col981, #T_457a2_row13_col988, #T_457a2_row13_col1139, #T_457a2_row13_col1226, #T_457a2_row13_col1270, #T_457a2_row14_col703, #T_457a2_row14_col1269, #T_457a2_row14_col1337, #T_457a2_row14_col1413, #T_457a2_row15_col30, #T_457a2_row15_col311, #T_457a2_row15_col372, #T_457a2_row15_col566, #T_457a2_row15_col750, #T_457a2_row15_col1031, #T_457a2_row15_col1085, #T_457a2_row15_col1168, #T_457a2_row15_col1410, #T_457a2_row15_col1417, #T_457a2_row16_col237, #T_457a2_row16_col351, #T_457a2_row16_col957, #T_457a2_row17_col144, #T_457a2_row17_col243, #T_457a2_row17_col384, #T_457a2_row17_col864, #T_457a2_row17_col963, #T_457a2_row17_col1109, #T_457a2_row17_col1371, #T_457a2_row19_col428, #T_457a2_row19_col1162, #T_457a2_row20_col178, #T_457a2_row20_col433, #T_457a2_row20_col652, #T_457a2_row20_col898, #T_457a2_row21_col470, #T_457a2_row21_col1051, #T_457a2_row21_col1216, #T_457a2_row21_col1412, #T_457a2_row22_col528, #T_457a2_row22_col1292, #T_457a2_row22_col1308, #T_457a2_row23_col140, #T_457a2_row23_col663, #T_457a2_row23_col860, #T_457a2_row23_col1209, #T_457a2_row23_col1327, #T_457a2_row23_col1426, #T_457a2_row24_col355, #T_457a2_row24_col1075, #T_457a2_row24_col1287 {\n",
       "  background-color: #187cb6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col115, #T_457a2_row0_col445, #T_457a2_row0_col700, #T_457a2_row1_col16, #T_457a2_row1_col161, #T_457a2_row1_col398, #T_457a2_row1_col496, #T_457a2_row1_col646, #T_457a2_row1_col881, #T_457a2_row1_col1148, #T_457a2_row2_col44, #T_457a2_row2_col142, #T_457a2_row2_col353, #T_457a2_row2_col456, #T_457a2_row2_col541, #T_457a2_row2_col622, #T_457a2_row2_col665, #T_457a2_row2_col764, #T_457a2_row2_col1015, #T_457a2_row3_col584, #T_457a2_row3_col669, #T_457a2_row3_col704, #T_457a2_row3_col1018, #T_457a2_row3_col1332, #T_457a2_row3_col1437, #T_457a2_row4_col73, #T_457a2_row4_col413, #T_457a2_row4_col1233, #T_457a2_row4_col1285, #T_457a2_row5_col77, #T_457a2_row5_col121, #T_457a2_row5_col138, #T_457a2_row5_col440, #T_457a2_row5_col539, #T_457a2_row5_col652, #T_457a2_row5_col841, #T_457a2_row5_col858, #T_457a2_row5_col1251, #T_457a2_row6_col590, #T_457a2_row6_col684, #T_457a2_row6_col1198, #T_457a2_row7_col520, #T_457a2_row8_col315, #T_457a2_row8_col451, #T_457a2_row8_col596, #T_457a2_row8_col668, #T_457a2_row8_col1035, #T_457a2_row8_col1383, #T_457a2_row9_col9, #T_457a2_row9_col42, #T_457a2_row9_col717, #T_457a2_row9_col729, #T_457a2_row9_col762, #T_457a2_row9_col848, #T_457a2_row9_col1147, #T_457a2_row9_col1200, #T_457a2_row10_col285, #T_457a2_row10_col367, #T_457a2_row10_col405, #T_457a2_row10_col520, #T_457a2_row10_col677, #T_457a2_row10_col1189, #T_457a2_row10_col1323, #T_457a2_row10_col1403, #T_457a2_row11_col100, #T_457a2_row11_col176, #T_457a2_row11_col262, #T_457a2_row11_col444, #T_457a2_row11_col526, #T_457a2_row11_col566, #T_457a2_row11_col755, #T_457a2_row11_col759, #T_457a2_row11_col820, #T_457a2_row11_col1318, #T_457a2_row12_col19, #T_457a2_row12_col147, #T_457a2_row12_col288, #T_457a2_row12_col339, #T_457a2_row12_col739, #T_457a2_row12_col867, #T_457a2_row12_col1008, #T_457a2_row12_col1059, #T_457a2_row13_col57, #T_457a2_row13_col253, #T_457a2_row13_col373, #T_457a2_row13_col777, #T_457a2_row13_col973, #T_457a2_row14_col705, #T_457a2_row15_col111, #T_457a2_row15_col184, #T_457a2_row15_col268, #T_457a2_row15_col387, #T_457a2_row15_col427, #T_457a2_row15_col541, #T_457a2_row15_col579, #T_457a2_row15_col831, #T_457a2_row15_col904, #T_457a2_row15_col988, #T_457a2_row15_col1118, #T_457a2_row16_col9, #T_457a2_row16_col240, #T_457a2_row16_col244, #T_457a2_row16_col341, #T_457a2_row16_col529, #T_457a2_row16_col729, #T_457a2_row16_col964, #T_457a2_row16_col1061, #T_457a2_row16_col1281, #T_457a2_row17_col216, #T_457a2_row17_col220, #T_457a2_row17_col221, #T_457a2_row17_col378, #T_457a2_row17_col647, #T_457a2_row17_col655, #T_457a2_row17_col700, #T_457a2_row17_col889, #T_457a2_row17_col940, #T_457a2_row17_col941, #T_457a2_row17_col1016, #T_457a2_row17_col1268, #T_457a2_row17_col1284, #T_457a2_row17_col1356, #T_457a2_row18_col30, #T_457a2_row18_col277, #T_457a2_row18_col282, #T_457a2_row18_col312, #T_457a2_row18_col362, #T_457a2_row18_col393, #T_457a2_row18_col640, #T_457a2_row18_col750, #T_457a2_row18_col765, #T_457a2_row18_col997, #T_457a2_row18_col1002, #T_457a2_row18_col1032, #T_457a2_row18_col1082, #T_457a2_row18_col1178, #T_457a2_row19_col198, #T_457a2_row19_col238, #T_457a2_row19_col909, #T_457a2_row19_col918, #T_457a2_row19_col958, #T_457a2_row19_col1314, #T_457a2_row19_col1387, #T_457a2_row20_col474, #T_457a2_row20_col523, #T_457a2_row20_col655, #T_457a2_row20_col1254, #T_457a2_row21_col28, #T_457a2_row21_col163, #T_457a2_row21_col177, #T_457a2_row21_col227, #T_457a2_row21_col243, #T_457a2_row21_col384, #T_457a2_row21_col407, #T_457a2_row21_col464, #T_457a2_row21_col572, #T_457a2_row21_col836, #T_457a2_row21_col883, #T_457a2_row21_col947, #T_457a2_row21_col1182, #T_457a2_row22_col53, #T_457a2_row22_col143, #T_457a2_row22_col222, #T_457a2_row22_col334, #T_457a2_row22_col607, #T_457a2_row22_col863, #T_457a2_row22_col917, #T_457a2_row22_col1054, #T_457a2_row22_col1158, #T_457a2_row22_col1170, #T_457a2_row22_col1226, #T_457a2_row22_col1377, #T_457a2_row23_col31, #T_457a2_row23_col334, #T_457a2_row23_col629, #T_457a2_row23_col751, #T_457a2_row23_col895, #T_457a2_row23_col1054, #T_457a2_row23_col1139, #T_457a2_row23_col1266, #T_457a2_row23_col1400, #T_457a2_row24_col57, #T_457a2_row24_col186, #T_457a2_row24_col578, #T_457a2_row24_col690, #T_457a2_row24_col720, #T_457a2_row24_col777, #T_457a2_row24_col906, #T_457a2_row24_col1320 {\n",
       "  background-color: #a5bddb;\n",
       "  color: #000000;\n",
       "}\n",
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       "#T_457a2_row0_col129, #T_457a2_row0_col514, #T_457a2_row0_col652, #T_457a2_row0_col849, #T_457a2_row0_col1055, #T_457a2_row0_col1087, #T_457a2_row1_col315, #T_457a2_row1_col521, #T_457a2_row1_col1035, #T_457a2_row1_col1146, #T_457a2_row1_col1152, #T_457a2_row1_col1417, #T_457a2_row2_col204, #T_457a2_row2_col924, #T_457a2_row3_col192, #T_457a2_row3_col618, #T_457a2_row3_col636, #T_457a2_row3_col912, #T_457a2_row3_col1262, #T_457a2_row3_col1315, #T_457a2_row3_col1363, #T_457a2_row3_col1378, #T_457a2_row4_col184, #T_457a2_row4_col904, #T_457a2_row5_col701, #T_457a2_row5_col883, #T_457a2_row6_col147, #T_457a2_row6_col867, #T_457a2_row7_col103, #T_457a2_row7_col127, #T_457a2_row7_col243, #T_457a2_row7_col316, #T_457a2_row7_col470, #T_457a2_row7_col639, #T_457a2_row7_col823, #T_457a2_row7_col963, #T_457a2_row7_col1028, #T_457a2_row7_col1036, #T_457a2_row7_col1339, #T_457a2_row7_col1361, #T_457a2_row7_col1374, #T_457a2_row8_col1084, #T_457a2_row9_col204, #T_457a2_row9_col435, #T_457a2_row9_col528, #T_457a2_row10_col486, #T_457a2_row11_col244, #T_457a2_row11_col846, #T_457a2_row11_col964, #T_457a2_row12_col295, #T_457a2_row12_col1015, #T_457a2_row13_col190, #T_457a2_row13_col421, #T_457a2_row13_col639, #T_457a2_row13_col718, #T_457a2_row13_col828, #T_457a2_row13_col910, #T_457a2_row13_col1090, #T_457a2_row14_col1273, #T_457a2_row15_col26, #T_457a2_row15_col455, #T_457a2_row15_col746, #T_457a2_row15_col1111, #T_457a2_row17_col449, #T_457a2_row17_col594, #T_457a2_row17_col632, #T_457a2_row17_col1093, #T_457a2_row18_col576, #T_457a2_row18_col1382, #T_457a2_row19_col1243, #T_457a2_row19_col1280, #T_457a2_row19_col1367, #T_457a2_row20_col278, #T_457a2_row20_col454, #T_457a2_row20_col998, #T_457a2_row20_col1018, #T_457a2_row21_col1142, #T_457a2_row21_col1347, #T_457a2_row22_col862, #T_457a2_row22_col1287, #T_457a2_row23_col1049, #T_457a2_row24_col481 {\n",
       "  background-color: #045b8e;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #2786bb;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #afc1dd;\n",
       "  color: #000000;\n",
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       "  background-color: #f2ecf5;\n",
       "  color: #000000;\n",
       "}\n",
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       "  background-color: #1e80b8;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #80aed2;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #c6cce3;\n",
       "  color: #000000;\n",
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       "  background-color: #023b5d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col141, #T_457a2_row0_col245, #T_457a2_row0_col306, #T_457a2_row0_col418, #T_457a2_row0_col599, #T_457a2_row0_col861, #T_457a2_row0_col965, #T_457a2_row0_col1026, #T_457a2_row1_col40, #T_457a2_row1_col760, #T_457a2_row1_col1259, #T_457a2_row1_col1278, #T_457a2_row1_col1308, #T_457a2_row2_col852, #T_457a2_row3_col26, #T_457a2_row3_col746, #T_457a2_row3_col1056, #T_457a2_row3_col1234, #T_457a2_row3_col1336, #T_457a2_row3_col1372, #T_457a2_row3_col1376, #T_457a2_row4_col25, #T_457a2_row4_col111, #T_457a2_row4_col235, #T_457a2_row4_col242, #T_457a2_row4_col648, #T_457a2_row4_col955, #T_457a2_row5_col1435, #T_457a2_row6_col579, #T_457a2_row7_col442, #T_457a2_row7_col634, #T_457a2_row7_col698, #T_457a2_row7_col756, #T_457a2_row7_col1089, #T_457a2_row7_col1221, #T_457a2_row7_col1391, #T_457a2_row8_col1207, #T_457a2_row9_col225, #T_457a2_row9_col649, #T_457a2_row9_col945, #T_457a2_row9_col1275, #T_457a2_row9_col1425, #T_457a2_row10_col481, #T_457a2_row10_col1218, #T_457a2_row11_col64, #T_457a2_row11_col306, #T_457a2_row11_col314, #T_457a2_row11_col784, #T_457a2_row11_col1034, #T_457a2_row12_col481, #T_457a2_row13_col323, #T_457a2_row13_col329, #T_457a2_row13_col474, #T_457a2_row13_col561, #T_457a2_row13_col1049, #T_457a2_row15_col96, #T_457a2_row15_col633, #T_457a2_row15_col816, #T_457a2_row15_col1145, #T_457a2_row15_col1256, #T_457a2_row15_col1413, #T_457a2_row15_col1433, #T_457a2_row17_col192, #T_457a2_row17_col308, #T_457a2_row17_col353, #T_457a2_row17_col365, #T_457a2_row17_col912, #T_457a2_row17_col1028, #T_457a2_row17_col1073, #T_457a2_row17_col1169, #T_457a2_row17_col1337, #T_457a2_row18_col1357, #T_457a2_row19_col64, #T_457a2_row19_col1096, #T_457a2_row19_col1126, #T_457a2_row19_col1239, #T_457a2_row20_col482, #T_457a2_row20_col672, #T_457a2_row20_col721, #T_457a2_row20_col1333, #T_457a2_row21_col1235, #T_457a2_row22_col1130, #T_457a2_row24_col266, #T_457a2_row24_col986, #T_457a2_row24_col1193 {\n",
       "  background-color: #04639b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col143, #T_457a2_row0_col150, #T_457a2_row0_col159, #T_457a2_row0_col596, #T_457a2_row0_col690, #T_457a2_row0_col870, #T_457a2_row0_col879, #T_457a2_row0_col1091, #T_457a2_row0_col1352, #T_457a2_row1_col53, #T_457a2_row1_col181, #T_457a2_row1_col193, #T_457a2_row1_col215, #T_457a2_row1_col243, #T_457a2_row1_col343, #T_457a2_row1_col517, #T_457a2_row1_col773, #T_457a2_row1_col901, #T_457a2_row1_col913, #T_457a2_row1_col935, #T_457a2_row1_col963, #T_457a2_row1_col1118, #T_457a2_row1_col1270, #T_457a2_row1_col1425, #T_457a2_row2_col357, #T_457a2_row2_col424, #T_457a2_row2_col578, #T_457a2_row2_col654, #T_457a2_row2_col681, #T_457a2_row2_col755, #T_457a2_row2_col768, #T_457a2_row2_col1091, #T_457a2_row3_col200, #T_457a2_row3_col253, #T_457a2_row3_col649, #T_457a2_row3_col920, #T_457a2_row3_col973, #T_457a2_row3_col1285, #T_457a2_row3_col1328, #T_457a2_row3_col1422, #T_457a2_row4_col190, #T_457a2_row4_col193, #T_457a2_row4_col348, #T_457a2_row4_col435, #T_457a2_row4_col577, #T_457a2_row4_col583, #T_457a2_row4_col780, #T_457a2_row4_col852, #T_457a2_row4_col910, #T_457a2_row4_col913, #T_457a2_row4_col1435, #T_457a2_row5_col94, #T_457a2_row5_col134, #T_457a2_row5_col248, #T_457a2_row5_col371, #T_457a2_row5_col854, #T_457a2_row5_col968, #T_457a2_row5_col976, #T_457a2_row5_col1042, #T_457a2_row5_col1168, #T_457a2_row5_col1207, #T_457a2_row5_col1437, #T_457a2_row6_col380, #T_457a2_row6_col617, #T_457a2_row6_col708, #T_457a2_row6_col1066, #T_457a2_row6_col1343, #T_457a2_row6_col1373, #T_457a2_row7_col119, #T_457a2_row7_col298, #T_457a2_row7_col327, #T_457a2_row7_col839, #T_457a2_row7_col1018, #T_457a2_row7_col1047, #T_457a2_row7_col1224, #T_457a2_row8_col281, #T_457a2_row8_col546, #T_457a2_row8_col721, #T_457a2_row8_col1184, #T_457a2_row9_col215, #T_457a2_row9_col448, #T_457a2_row9_col452, #T_457a2_row9_col685, #T_457a2_row9_col700, #T_457a2_row9_col825, #T_457a2_row9_col935, #T_457a2_row9_col1192, #T_457a2_row9_col1229, #T_457a2_row10_col179, #T_457a2_row10_col306, #T_457a2_row10_col332, #T_457a2_row10_col899, #T_457a2_row10_col1052, #T_457a2_row10_col1134, #T_457a2_row10_col1213, #T_457a2_row10_col1266, #T_457a2_row11_col301, #T_457a2_row11_col399, #T_457a2_row11_col412, #T_457a2_row11_col455, #T_457a2_row11_col818, #T_457a2_row11_col1004, #T_457a2_row11_col1171, #T_457a2_row11_col1355, #T_457a2_row12_col45, #T_457a2_row12_col97, #T_457a2_row12_col281, #T_457a2_row12_col311, #T_457a2_row12_col366, #T_457a2_row12_col367, #T_457a2_row12_col372, #T_457a2_row12_col375, #T_457a2_row12_col457, #T_457a2_row12_col490, #T_457a2_row12_col765, #T_457a2_row12_col1001, #T_457a2_row12_col1004, #T_457a2_row12_col1031, #T_457a2_row12_col1269, #T_457a2_row12_col1398, #T_457a2_row13_col285, #T_457a2_row13_col394, #T_457a2_row13_col578, #T_457a2_row13_col1134, #T_457a2_row13_col1165, #T_457a2_row13_col1198, #T_457a2_row13_col1393, #T_457a2_row13_col1434, #T_457a2_row14_col616, #T_457a2_row15_col163, #T_457a2_row15_col216, #T_457a2_row15_col344, #T_457a2_row15_col472, #T_457a2_row15_col834, #T_457a2_row15_col883, #T_457a2_row15_col936, #T_457a2_row15_col1064, #T_457a2_row15_col1252, #T_457a2_row15_col1423, #T_457a2_row16_col27, #T_457a2_row16_col1175, #T_457a2_row16_col1301, #T_457a2_row17_col11, #T_457a2_row17_col558, #T_457a2_row17_col639, #T_457a2_row17_col691, #T_457a2_row17_col1226, #T_457a2_row17_col1269, #T_457a2_row18_col164, #T_457a2_row18_col196, #T_457a2_row18_col396, #T_457a2_row18_col659, #T_457a2_row18_col884, #T_457a2_row18_col899, #T_457a2_row18_col916, #T_457a2_row18_col1361, #T_457a2_row19_col139, #T_457a2_row19_col240, #T_457a2_row19_col372, #T_457a2_row19_col388, #T_457a2_row19_col486, #T_457a2_row19_col528, #T_457a2_row19_col585, #T_457a2_row19_col859, #T_457a2_row19_col960, #T_457a2_row19_col1097, #T_457a2_row20_col87, #T_457a2_row20_col163, #T_457a2_row20_col432, #T_457a2_row20_col467, #T_457a2_row20_col554, #T_457a2_row20_col636, #T_457a2_row20_col682, #T_457a2_row20_col807, #T_457a2_row20_col883, #T_457a2_row20_col1098, #T_457a2_row20_col1149, #T_457a2_row20_col1207, #T_457a2_row20_col1235, #T_457a2_row20_col1284, #T_457a2_row20_col1287, #T_457a2_row21_col128, #T_457a2_row21_col547, #T_457a2_row21_col893, #T_457a2_row21_col924, #T_457a2_row21_col1225, #T_457a2_row22_col275, #T_457a2_row22_col292, #T_457a2_row22_col350, #T_457a2_row22_col389, #T_457a2_row22_col995, #T_457a2_row24_col216, #T_457a2_row24_col236, #T_457a2_row24_col248, #T_457a2_row24_col348, #T_457a2_row24_col836, #T_457a2_row24_col936, #T_457a2_row24_col956, #T_457a2_row24_col968, #T_457a2_row24_col1068, #T_457a2_row24_col1289, #T_457a2_row24_col1371, #T_457a2_row24_col1427 {\n",
       "  background-color: #78abd0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col144, #T_457a2_row0_col189, #T_457a2_row0_col697, #T_457a2_row0_col830, #T_457a2_row0_col864, #T_457a2_row0_col909, #T_457a2_row0_col1114, #T_457a2_row0_col1273, #T_457a2_row0_col1308, #T_457a2_row0_col1416, #T_457a2_row0_col1423, #T_457a2_row1_col252, #T_457a2_row1_col442, #T_457a2_row1_col518, #T_457a2_row1_col543, #T_457a2_row1_col586, #T_457a2_row1_col633, #T_457a2_row1_col637, #T_457a2_row1_col972, #T_457a2_row1_col1282, #T_457a2_row1_col1336, #T_457a2_row2_col90, #T_457a2_row2_col389, #T_457a2_row2_col508, #T_457a2_row2_col605, #T_457a2_row2_col810, #T_457a2_row2_col1057, #T_457a2_row2_col1107, #T_457a2_row2_col1179, #T_457a2_row3_col136, #T_457a2_row3_col185, #T_457a2_row3_col248, #T_457a2_row3_col520, #T_457a2_row3_col760, #T_457a2_row3_col856, #T_457a2_row3_col968, #T_457a2_row3_col1395, #T_457a2_row4_col120, #T_457a2_row4_col279, #T_457a2_row4_col516, #T_457a2_row4_col840, #T_457a2_row4_col999, #T_457a2_row4_col1154, #T_457a2_row5_col200, #T_457a2_row5_col696, #T_457a2_row5_col749, #T_457a2_row5_col920, #T_457a2_row5_col1186, #T_457a2_row5_col1219, #T_457a2_row5_col1223, #T_457a2_row5_col1312, #T_457a2_row5_col1341, #T_457a2_row6_col353, #T_457a2_row6_col1010, #T_457a2_row7_col98, #T_457a2_row7_col534, #T_457a2_row7_col778, #T_457a2_row7_col818, #T_457a2_row7_col1099, #T_457a2_row7_col1194, #T_457a2_row7_col1268, #T_457a2_row7_col1294, #T_457a2_row8_col572, #T_457a2_row8_col1388, #T_457a2_row9_col54, #T_457a2_row9_col484, #T_457a2_row9_col683, #T_457a2_row9_col774, #T_457a2_row9_col1171, #T_457a2_row9_col1251, #T_457a2_row9_col1300, #T_457a2_row10_col580, #T_457a2_row10_col661, #T_457a2_row11_col182, #T_457a2_row11_col902, #T_457a2_row12_col302, #T_457a2_row12_col356, #T_457a2_row12_col374, #T_457a2_row12_col586, #T_457a2_row12_col602, #T_457a2_row12_col618, #T_457a2_row12_col1222, #T_457a2_row12_col1336, #T_457a2_row12_col1395, #T_457a2_row13_col96, #T_457a2_row13_col325, #T_457a2_row13_col330, #T_457a2_row13_col574, #T_457a2_row13_col668, #T_457a2_row13_col687, #T_457a2_row13_col719, #T_457a2_row13_col816, #T_457a2_row13_col853, #T_457a2_row13_col1045, #T_457a2_row13_col1050, #T_457a2_row13_col1177, #T_457a2_row14_col44, #T_457a2_row14_col764, #T_457a2_row14_col1319, #T_457a2_row14_col1341, #T_457a2_row15_col192, #T_457a2_row15_col511, #T_457a2_row15_col543, #T_457a2_row15_col569, #T_457a2_row15_col659, #T_457a2_row15_col671, #T_457a2_row15_col682, #T_457a2_row15_col912, #T_457a2_row15_col1010, #T_457a2_row15_col1357, #T_457a2_row16_col377, #T_457a2_row16_col1290, #T_457a2_row17_col138, #T_457a2_row17_col162, #T_457a2_row17_col184, #T_457a2_row17_col277, #T_457a2_row17_col326, #T_457a2_row17_col400, #T_457a2_row17_col465, #T_457a2_row17_col568, #T_457a2_row17_col614, #T_457a2_row17_col858, #T_457a2_row17_col882, #T_457a2_row17_col904, #T_457a2_row17_col997, #T_457a2_row17_col1091, #T_457a2_row17_col1421, #T_457a2_row17_col1431, #T_457a2_row18_col228, #T_457a2_row18_col535, #T_457a2_row18_col948, #T_457a2_row18_col1427, #T_457a2_row19_col38, #T_457a2_row19_col277, #T_457a2_row19_col296, #T_457a2_row19_col373, #T_457a2_row19_col442, #T_457a2_row19_col1016, #T_457a2_row19_col1113, #T_457a2_row19_col1166, #T_457a2_row19_col1167, #T_457a2_row19_col1388, #T_457a2_row20_col41, #T_457a2_row20_col341, #T_457a2_row20_col398, #T_457a2_row20_col668, #T_457a2_row20_col761, #T_457a2_row20_col789, #T_457a2_row20_col881, #T_457a2_row20_col1061, #T_457a2_row20_col1120, #T_457a2_row20_col1153, #T_457a2_row20_col1341, #T_457a2_row20_col1411, #T_457a2_row21_col419, #T_457a2_row21_col488, #T_457a2_row21_col544, #T_457a2_row21_col645, #T_457a2_row21_col1305, #T_457a2_row21_col1334, #T_457a2_row21_col1423, #T_457a2_row22_col124, #T_457a2_row22_col367, #T_457a2_row22_col605, #T_457a2_row22_col844, #T_457a2_row22_col1144, #T_457a2_row22_col1260, #T_457a2_row22_col1333, #T_457a2_row24_col304, #T_457a2_row24_col349, #T_457a2_row24_col960, #T_457a2_row24_col969, #T_457a2_row24_col1024, #T_457a2_row24_col1069 {\n",
       "  background-color: #2f8bbe;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col145, #T_457a2_row0_col865, #T_457a2_row0_col1302, #T_457a2_row1_col1133, #T_457a2_row1_col1165, #T_457a2_row3_col335, #T_457a2_row4_col100, #T_457a2_row4_col307, #T_457a2_row4_col386, #T_457a2_row4_col487, #T_457a2_row4_col820, #T_457a2_row5_col1225, #T_457a2_row7_col11, #T_457a2_row7_col218, #T_457a2_row7_col612, #T_457a2_row7_col731, #T_457a2_row7_col830, #T_457a2_row7_col938, #T_457a2_row8_col1253, #T_457a2_row9_col130, #T_457a2_row9_col276, #T_457a2_row10_col1201, #T_457a2_row10_col1435, #T_457a2_row11_col788, #T_457a2_row12_col406, #T_457a2_row13_col111, #T_457a2_row13_col120, #T_457a2_row13_col177, #T_457a2_row13_col232, #T_457a2_row13_col568, #T_457a2_row13_col830, #T_457a2_row13_col831, #T_457a2_row13_col840, #T_457a2_row13_col897, #T_457a2_row13_col952, #T_457a2_row14_col375, #T_457a2_row14_col516, #T_457a2_row14_col1275, #T_457a2_row14_col1295, #T_457a2_row16_col335, #T_457a2_row17_col360, #T_457a2_row17_col1080, #T_457a2_row17_col1157, #T_457a2_row19_col1209, #T_457a2_row19_col1233, #T_457a2_row19_col1266, #T_457a2_row21_col687, #T_457a2_row21_col737, #T_457a2_row22_col1189, #T_457a2_row22_col1243 {\n",
       "  background-color: #03456c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
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       "  background-color: #65a3cb;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #cccfe5;\n",
       "  color: #000000;\n",
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       "  background-color: #c5cce3;\n",
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       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col161, #T_457a2_row0_col344, #T_457a2_row0_col881, #T_457a2_row0_col1064, #T_457a2_row1_col117, #T_457a2_row4_col210, #T_457a2_row4_col390, #T_457a2_row4_col930, #T_457a2_row5_col232, #T_457a2_row5_col952, #T_457a2_row6_col756, #T_457a2_row6_col1190, #T_457a2_row7_col644, #T_457a2_row8_col17, #T_457a2_row8_col45, #T_457a2_row8_col102, #T_457a2_row8_col448, #T_457a2_row8_col765, #T_457a2_row8_col800, #T_457a2_row8_col870, #T_457a2_row9_col488, #T_457a2_row9_col826, #T_457a2_row10_col148, #T_457a2_row10_col210, #T_457a2_row10_col397, #T_457a2_row10_col437, #T_457a2_row10_col1352, #T_457a2_row11_col143, #T_457a2_row11_col863, #T_457a2_row11_col931, #T_457a2_row11_col1118, #T_457a2_row11_col1129, #T_457a2_row11_col1300, #T_457a2_row11_col1328, #T_457a2_row12_col304, #T_457a2_row13_col378, #T_457a2_row13_col560, #T_457a2_row13_col682, #T_457a2_row14_col55, #T_457a2_row14_col178, #T_457a2_row14_col200, #T_457a2_row14_col287, #T_457a2_row14_col395, #T_457a2_row14_col479, #T_457a2_row14_col490, #T_457a2_row14_col670, #T_457a2_row14_col719, #T_457a2_row14_col775, #T_457a2_row14_col1239, #T_457a2_row16_col340, #T_457a2_row16_col555, #T_457a2_row16_col634, #T_457a2_row16_col1060, #T_457a2_row16_col1074, #T_457a2_row17_col622, #T_457a2_row17_col726, #T_457a2_row17_col977, #T_457a2_row18_col17, #T_457a2_row18_col88, #T_457a2_row18_col191, #T_457a2_row18_col258, #T_457a2_row18_col260, #T_457a2_row18_col385, #T_457a2_row18_col447, #T_457a2_row18_col726, #T_457a2_row18_col737, #T_457a2_row18_col808, #T_457a2_row18_col911, #T_457a2_row18_col978, #T_457a2_row19_col59, #T_457a2_row19_col645, #T_457a2_row19_col779, #T_457a2_row20_col953, #T_457a2_row21_col47, #T_457a2_row21_col368, #T_457a2_row21_col543, #T_457a2_row21_col619, #T_457a2_row21_col767, #T_457a2_row21_col1341, #T_457a2_row21_col1381, #T_457a2_row22_col439, #T_457a2_row22_col722, #T_457a2_row22_col1164, #T_457a2_row22_col1337, #T_457a2_row23_col307, #T_457a2_row23_col1027, #T_457a2_row23_col1103, #T_457a2_row23_col1310, #T_457a2_row24_col105, #T_457a2_row24_col158, #T_457a2_row24_col456, #T_457a2_row24_col533, #T_457a2_row24_col559, #T_457a2_row24_col585, #T_457a2_row24_col835, #T_457a2_row24_col878, #T_457a2_row24_col1092, #T_457a2_row24_col1339, #T_457a2_row24_col1424 {\n",
       "  background-color: #ede7f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col162, #T_457a2_row0_col298, #T_457a2_row0_col453, #T_457a2_row0_col1210, #T_457a2_row1_col17, #T_457a2_row1_col91, #T_457a2_row1_col98, #T_457a2_row1_col168, #T_457a2_row1_col683, #T_457a2_row1_col737, #T_457a2_row1_col766, #T_457a2_row1_col811, #T_457a2_row1_col818, #T_457a2_row1_col888, #T_457a2_row1_col964, #T_457a2_row1_col1003, #T_457a2_row1_col1260, #T_457a2_row1_col1277, #T_457a2_row1_col1328, #T_457a2_row1_col1338, #T_457a2_row2_col313, #T_457a2_row2_col330, #T_457a2_row2_col387, #T_457a2_row2_col502, #T_457a2_row2_col680, #T_457a2_row2_col690, #T_457a2_row2_col769, #T_457a2_row2_col802, #T_457a2_row2_col836, #T_457a2_row2_col1019, #T_457a2_row2_col1033, #T_457a2_row2_col1050, #T_457a2_row2_col1144, #T_457a2_row2_col1324, #T_457a2_row2_col1431, #T_457a2_row2_col1437, #T_457a2_row3_col41, #T_457a2_row3_col263, #T_457a2_row3_col414, #T_457a2_row3_col475, #T_457a2_row3_col640, #T_457a2_row3_col761, #T_457a2_row3_col983, #T_457a2_row3_col1274, #T_457a2_row3_col1370, #T_457a2_row4_col62, #T_457a2_row4_col340, #T_457a2_row4_col495, #T_457a2_row4_col512, #T_457a2_row4_col545, #T_457a2_row4_col616, #T_457a2_row4_col1060, #T_457a2_row4_col1232, #T_457a2_row4_col1325, #T_457a2_row5_col452, #T_457a2_row5_col620, #T_457a2_row5_col631, #T_457a2_row5_col682, #T_457a2_row5_col770, #T_457a2_row6_col293, #T_457a2_row6_col371, #T_457a2_row6_col385, #T_457a2_row6_col390, #T_457a2_row6_col505, #T_457a2_row6_col517, #T_457a2_row6_col988, #T_457a2_row6_col1013, #T_457a2_row6_col1224, #T_457a2_row6_col1354, #T_457a2_row6_col1390, #T_457a2_row7_col1296, #T_457a2_row8_col49, #T_457a2_row8_col769, #T_457a2_row8_col1264, #T_457a2_row8_col1324, #T_457a2_row9_col193, #T_457a2_row9_col282, #T_457a2_row9_col619, #T_457a2_row9_col770, #T_457a2_row9_col913, #T_457a2_row9_col1002, #T_457a2_row9_col1087, #T_457a2_row9_col1293, #T_457a2_row10_col62, #T_457a2_row10_col263, #T_457a2_row10_col291, #T_457a2_row10_col304, #T_457a2_row10_col376, #T_457a2_row10_col634, #T_457a2_row10_col635, #T_457a2_row10_col664, #T_457a2_row10_col881, #T_457a2_row10_col983, #T_457a2_row10_col1124, #T_457a2_row10_col1151, #T_457a2_row11_col310, #T_457a2_row11_col438, #T_457a2_row11_col472, #T_457a2_row11_col865, #T_457a2_row11_col1143, #T_457a2_row12_col4, #T_457a2_row12_col9, #T_457a2_row12_col208, #T_457a2_row12_col326, #T_457a2_row12_col566, #T_457a2_row12_col635, #T_457a2_row12_col729, #T_457a2_row12_col734, #T_457a2_row12_col928, #T_457a2_row13_col18, #T_457a2_row13_col305, #T_457a2_row13_col364, #T_457a2_row13_col477, #T_457a2_row13_col738, #T_457a2_row13_col961, #T_457a2_row13_col1153, #T_457a2_row13_col1178, #T_457a2_row13_col1278, #T_457a2_row14_col39, #T_457a2_row14_col58, #T_457a2_row14_col186, #T_457a2_row14_col334, #T_457a2_row14_col535, #T_457a2_row14_col759, #T_457a2_row14_col778, #T_457a2_row14_col906, #T_457a2_row14_col1054, #T_457a2_row14_col1096, #T_457a2_row15_col63, #T_457a2_row15_col330, #T_457a2_row15_col487, #T_457a2_row15_col783, #T_457a2_row15_col1005, #T_457a2_row15_col1050, #T_457a2_row16_col717, #T_457a2_row16_col897, #T_457a2_row16_col1182, #T_457a2_row16_col1297, #T_457a2_row17_col592, #T_457a2_row17_col757, #T_457a2_row17_col796, #T_457a2_row17_col1382, #T_457a2_row18_col142, #T_457a2_row18_col247, #T_457a2_row18_col692, #T_457a2_row18_col822, #T_457a2_row18_col1275, #T_457a2_row19_col35, #T_457a2_row19_col99, #T_457a2_row19_col402, #T_457a2_row19_col594, #T_457a2_row19_col694, #T_457a2_row19_col755, #T_457a2_row19_col803, #T_457a2_row19_col819, #T_457a2_row19_col1160, #T_457a2_row19_col1434, #T_457a2_row20_col156, #T_457a2_row20_col876, #T_457a2_row20_col1087, #T_457a2_row20_col1248, #T_457a2_row21_col370, #T_457a2_row21_col401, #T_457a2_row21_col1139, #T_457a2_row21_col1191, #T_457a2_row21_col1288, #T_457a2_row22_col72, #T_457a2_row22_col356, #T_457a2_row22_col574, #T_457a2_row22_col645, #T_457a2_row22_col669, #T_457a2_row22_col792, #T_457a2_row22_col994, #T_457a2_row22_col1076, #T_457a2_row22_col1222, #T_457a2_row22_col1302, #T_457a2_row23_col71, #T_457a2_row23_col163, #T_457a2_row23_col220, #T_457a2_row23_col255, #T_457a2_row23_col410, #T_457a2_row23_col546, #T_457a2_row23_col634, #T_457a2_row23_col791, #T_457a2_row23_col840, #T_457a2_row23_col883, #T_457a2_row23_col894, #T_457a2_row23_col940, #T_457a2_row23_col975, #T_457a2_row23_col1150, #T_457a2_row23_col1191, #T_457a2_row23_col1215, #T_457a2_row23_col1334, #T_457a2_row23_col1404, #T_457a2_row23_col1420, #T_457a2_row24_col114, #T_457a2_row24_col307, #T_457a2_row24_col541, #T_457a2_row24_col708, #T_457a2_row24_col712, #T_457a2_row24_col760, #T_457a2_row24_col834, #T_457a2_row24_col1301, #T_457a2_row24_col1426 {\n",
       "  background-color: #acc0dd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col165, #T_457a2_row0_col577, #T_457a2_row0_col1176, #T_457a2_row2_col212, #T_457a2_row2_col301, #T_457a2_row2_col1021, #T_457a2_row3_col517, #T_457a2_row4_col71, #T_457a2_row4_col791, #T_457a2_row4_col1271, #T_457a2_row5_col722, #T_457a2_row5_col1032, #T_457a2_row6_col465, #T_457a2_row8_col28, #T_457a2_row8_col37, #T_457a2_row8_col43, #T_457a2_row8_col116, #T_457a2_row8_col210, #T_457a2_row8_col216, #T_457a2_row8_col757, #T_457a2_row8_col763, #T_457a2_row8_col879, #T_457a2_row8_col930, #T_457a2_row8_col1007, #T_457a2_row9_col1183, #T_457a2_row9_col1204, #T_457a2_row9_col1297, #T_457a2_row9_col1387, #T_457a2_row10_col116, #T_457a2_row10_col345, #T_457a2_row10_col426, #T_457a2_row10_col517, #T_457a2_row10_col735, #T_457a2_row10_col1007, #T_457a2_row10_col1105, #T_457a2_row11_col587, #T_457a2_row13_col1268, #T_457a2_row14_col116, #T_457a2_row14_col172, #T_457a2_row14_col217, #T_457a2_row14_col228, #T_457a2_row14_col583, #T_457a2_row14_col948, #T_457a2_row14_col1067, #T_457a2_row16_col125, #T_457a2_row16_col845, #T_457a2_row16_col1166, #T_457a2_row16_col1274, #T_457a2_row16_col1326, #T_457a2_row20_col7, #T_457a2_row20_col505, #T_457a2_row20_col727, #T_457a2_row21_col144, #T_457a2_row21_col148, #T_457a2_row21_col739, #T_457a2_row21_col864, #T_457a2_row21_col868, #T_457a2_row22_col136, #T_457a2_row22_col216, #T_457a2_row22_col359, #T_457a2_row22_col829, #T_457a2_row22_col856, #T_457a2_row22_col1348, #T_457a2_row22_col1430, #T_457a2_row23_col386, #T_457a2_row23_col759, #T_457a2_row23_col897, #T_457a2_row23_col1300, #T_457a2_row24_col283, #T_457a2_row24_col414, #T_457a2_row24_col524, #T_457a2_row24_col553, #T_457a2_row24_col587, #T_457a2_row24_col619, #T_457a2_row24_col1003, #T_457a2_row24_col1146, #T_457a2_row24_col1192 {\n",
       "  background-color: #f4edf6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col166, #T_457a2_row0_col226, #T_457a2_row0_col886, #T_457a2_row0_col946, #T_457a2_row1_col10, #T_457a2_row1_col87, #T_457a2_row1_col146, #T_457a2_row1_col416, #T_457a2_row1_col497, #T_457a2_row1_col807, #T_457a2_row1_col849, #T_457a2_row1_col866, #T_457a2_row1_col1373, #T_457a2_row2_col97, #T_457a2_row2_col363, #T_457a2_row2_col410, #T_457a2_row2_col540, #T_457a2_row2_col682, #T_457a2_row2_col817, #T_457a2_row2_col1241, #T_457a2_row3_col287, #T_457a2_row3_col403, #T_457a2_row3_col608, #T_457a2_row3_col1148, #T_457a2_row3_col1161, #T_457a2_row3_col1320, #T_457a2_row3_col1401, #T_457a2_row4_col265, #T_457a2_row4_col440, #T_457a2_row4_col479, #T_457a2_row4_col985, #T_457a2_row4_col1198, #T_457a2_row4_col1383, #T_457a2_row5_col667, #T_457a2_row5_col1136, #T_457a2_row5_col1313, #T_457a2_row6_col301, #T_457a2_row6_col533, #T_457a2_row6_col1083, #T_457a2_row6_col1217, #T_457a2_row7_col85, #T_457a2_row7_col228, #T_457a2_row7_col447, #T_457a2_row7_col499, #T_457a2_row7_col805, #T_457a2_row7_col948, #T_457a2_row7_col1024, #T_457a2_row7_col1384, #T_457a2_row8_col633, #T_457a2_row9_col67, #T_457a2_row9_col92, #T_457a2_row9_col240, #T_457a2_row9_col283, #T_457a2_row9_col291, #T_457a2_row9_col723, #T_457a2_row9_col787, #T_457a2_row9_col812, #T_457a2_row9_col1003, #T_457a2_row9_col1011, #T_457a2_row9_col1132, #T_457a2_row9_col1439, #T_457a2_row10_col594, #T_457a2_row10_col1132, #T_457a2_row10_col1184, #T_457a2_row10_col1229, #T_457a2_row11_col138, #T_457a2_row11_col618, #T_457a2_row11_col858, #T_457a2_row12_col246, #T_457a2_row12_col415, #T_457a2_row12_col966, #T_457a2_row12_col1161, #T_457a2_row12_col1166, #T_457a2_row12_col1338, #T_457a2_row13_col457, #T_457a2_row13_col711, #T_457a2_row13_col1104, #T_457a2_row13_col1119, #T_457a2_row13_col1282, #T_457a2_row13_col1332, #T_457a2_row13_col1429, #T_457a2_row14_col1186, #T_457a2_row14_col1316, #T_457a2_row14_col1374, #T_457a2_row15_col79, #T_457a2_row15_col129, #T_457a2_row15_col169, #T_457a2_row15_col249, #T_457a2_row15_col291, #T_457a2_row15_col310, #T_457a2_row15_col788, #T_457a2_row15_col799, #T_457a2_row15_col849, #T_457a2_row15_col958, #T_457a2_row15_col1011, #T_457a2_row15_col1147, #T_457a2_row15_col1195, #T_457a2_row15_col1276, #T_457a2_row17_col239, #T_457a2_row17_col319, #T_457a2_row17_col527, #T_457a2_row17_col833, #T_457a2_row17_col956, #T_457a2_row17_col959, #T_457a2_row17_col1039, #T_457a2_row17_col1176, #T_457a2_row17_col1279, #T_457a2_row17_col1287, #T_457a2_row17_col1396, #T_457a2_row17_col1403, #T_457a2_row18_col53, #T_457a2_row18_col513, #T_457a2_row18_col536, #T_457a2_row18_col651, #T_457a2_row18_col773, #T_457a2_row18_col1050, #T_457a2_row18_col1217, #T_457a2_row18_col1230, #T_457a2_row18_col1279, #T_457a2_row19_col88, #T_457a2_row19_col326, #T_457a2_row19_col471, #T_457a2_row19_col485, #T_457a2_row19_col808, #T_457a2_row19_col926, #T_457a2_row19_col1046, #T_457a2_row19_col1201, #T_457a2_row19_col1300, #T_457a2_row19_col1359, #T_457a2_row19_col1378, #T_457a2_row19_col1420, #T_457a2_row20_col83, #T_457a2_row20_col350, #T_457a2_row20_col605, #T_457a2_row20_col609, #T_457a2_row20_col736, #T_457a2_row20_col803, #T_457a2_row20_col1093, #T_457a2_row20_col1127, #T_457a2_row20_col1314, #T_457a2_row20_col1328, #T_457a2_row20_col1378, #T_457a2_row20_col1400, #T_457a2_row20_col1409, #T_457a2_row21_col519, #T_457a2_row21_col522, #T_457a2_row21_col1228, #T_457a2_row22_col68, #T_457a2_row22_col385, #T_457a2_row22_col788, #T_457a2_row22_col1141, #T_457a2_row22_col1212, #T_457a2_row22_col1236, #T_457a2_row22_col1396, #T_457a2_row23_col1154, #T_457a2_row23_col1373, #T_457a2_row23_col1443, #T_457a2_row24_col49, #T_457a2_row24_col196, #T_457a2_row24_col299, #T_457a2_row24_col494, #T_457a2_row24_col642, #T_457a2_row24_col916, #T_457a2_row24_col1019, #T_457a2_row24_col1191 {\n",
       "  background-color: #4094c3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col167, #T_457a2_row0_col631, #T_457a2_row0_col696, #T_457a2_row0_col1333, #T_457a2_row0_col1361, #T_457a2_row0_col1390, #T_457a2_row0_col1411, #T_457a2_row0_col1432, #T_457a2_row1_col129, #T_457a2_row1_col153, #T_457a2_row1_col273, #T_457a2_row1_col336, #T_457a2_row1_col346, #T_457a2_row1_col405, #T_457a2_row1_col492, #T_457a2_row1_col510, #T_457a2_row1_col730, #T_457a2_row1_col873, #T_457a2_row1_col993, #T_457a2_row1_col1056, #T_457a2_row1_col1066, #T_457a2_row1_col1201, #T_457a2_row2_col178, #T_457a2_row2_col637, #T_457a2_row2_col693, #T_457a2_row2_col694, #T_457a2_row2_col721, #T_457a2_row2_col898, #T_457a2_row2_col1255, #T_457a2_row2_col1281, #T_457a2_row3_col292, #T_457a2_row3_col337, #T_457a2_row3_col425, #T_457a2_row3_col483, #T_457a2_row3_col598, #T_457a2_row3_col1007, #T_457a2_row3_col1012, #T_457a2_row3_col1057, #T_457a2_row3_col1335, #T_457a2_row3_col1442, #T_457a2_row4_col596, #T_457a2_row4_col690, #T_457a2_row5_col227, #T_457a2_row5_col361, #T_457a2_row5_col436, #T_457a2_row5_col609, #T_457a2_row5_col947, #T_457a2_row5_col1081, #T_457a2_row5_col1188, #T_457a2_row5_col1202, #T_457a2_row5_col1272, #T_457a2_row5_col1300, #T_457a2_row5_col1326, #T_457a2_row5_col1333, #T_457a2_row6_col172, #T_457a2_row6_col892, #T_457a2_row6_col1309, #T_457a2_row7_col212, #T_457a2_row7_col220, #T_457a2_row7_col452, #T_457a2_row7_col681, #T_457a2_row7_col932, #T_457a2_row7_col940, #T_457a2_row7_col1092, #T_457a2_row8_col1276, #T_457a2_row8_col1322, #T_457a2_row9_col84, #T_457a2_row9_col116, #T_457a2_row9_col210, #T_457a2_row9_col223, #T_457a2_row9_col337, #T_457a2_row9_col354, #T_457a2_row9_col804, #T_457a2_row9_col836, #T_457a2_row9_col930, #T_457a2_row9_col943, #T_457a2_row9_col1057, #T_457a2_row9_col1074, #T_457a2_row9_col1120, #T_457a2_row9_col1138, #T_457a2_row9_col1141, #T_457a2_row10_col184, #T_457a2_row10_col402, #T_457a2_row10_col904, #T_457a2_row10_col1193, #T_457a2_row10_col1207, #T_457a2_row10_col1211, #T_457a2_row10_col1395, #T_457a2_row11_col179, #T_457a2_row11_col193, #T_457a2_row11_col257, #T_457a2_row11_col424, #T_457a2_row11_col913, #T_457a2_row11_col977, #T_457a2_row11_col1150, #T_457a2_row12_col278, #T_457a2_row12_col520, #T_457a2_row12_col574, #T_457a2_row12_col666, #T_457a2_row12_col998, #T_457a2_row12_col1034, #T_457a2_row12_col1113, #T_457a2_row12_col1208, #T_457a2_row12_col1218, #T_457a2_row12_col1236, #T_457a2_row12_col1437, #T_457a2_row13_col169, #T_457a2_row13_col218, #T_457a2_row13_col345, #T_457a2_row13_col481, #T_457a2_row13_col579, #T_457a2_row13_col889, #T_457a2_row13_col938, #T_457a2_row13_col1222, #T_457a2_row13_col1352, #T_457a2_row13_col1373, #T_457a2_row14_col959, #T_457a2_row14_col1150, #T_457a2_row14_col1196, #T_457a2_row14_col1357, #T_457a2_row15_col51, #T_457a2_row15_col238, #T_457a2_row15_col284, #T_457a2_row15_col362, #T_457a2_row15_col681, #T_457a2_row15_col718, #T_457a2_row15_col771, #T_457a2_row15_col969, #T_457a2_row15_col1004, #T_457a2_row15_col1403, #T_457a2_row16_col87, #T_457a2_row16_col282, #T_457a2_row16_col807, #T_457a2_row16_col1002, #T_457a2_row16_col1311, #T_457a2_row17_col113, #T_457a2_row17_col205, #T_457a2_row17_col310, #T_457a2_row17_col631, #T_457a2_row17_col937, #T_457a2_row17_col1030, #T_457a2_row17_col1190, #T_457a2_row17_col1297, #T_457a2_row18_col425, #T_457a2_row18_col474, #T_457a2_row18_col1114, #T_457a2_row18_col1121, #T_457a2_row18_col1296, #T_457a2_row18_col1350, #T_457a2_row18_col1402, #T_457a2_row19_col640, #T_457a2_row19_col667, #T_457a2_row19_col671, #T_457a2_row20_col182, #T_457a2_row20_col586, #T_457a2_row20_col902, #T_457a2_row20_col1070, #T_457a2_row20_col1112, #T_457a2_row20_col1154, #T_457a2_row20_col1201, #T_457a2_row20_col1230, #T_457a2_row20_col1232, #T_457a2_row20_col1234, #T_457a2_row20_col1295, #T_457a2_row20_col1310, #T_457a2_row21_col422, #T_457a2_row21_col484, #T_457a2_row21_col1103, #T_457a2_row21_col1131, #T_457a2_row22_col200, #T_457a2_row22_col244, #T_457a2_row22_col420, #T_457a2_row22_col525, #T_457a2_row22_col551, #T_457a2_row22_col597, #T_457a2_row22_col920, #T_457a2_row22_col1067, #T_457a2_row22_col1426, #T_457a2_row23_col323, #T_457a2_row23_col425, #T_457a2_row23_col605, #T_457a2_row23_col1098, #T_457a2_row23_col1188, #T_457a2_row23_col1205, #T_457a2_row24_col82, #T_457a2_row24_col150, #T_457a2_row24_col353, #T_457a2_row24_col769, #T_457a2_row24_col802, #T_457a2_row24_col870, #T_457a2_row24_col945, #T_457a2_row24_col1073, #T_457a2_row24_col1392 {\n",
       "  background-color: #3f93c2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col168, #T_457a2_row0_col1125, #T_457a2_row0_col1371, #T_457a2_row1_col666, #T_457a2_row1_col1436, #T_457a2_row2_col187, #T_457a2_row2_col882, #T_457a2_row2_col907, #T_457a2_row2_col1139, #T_457a2_row3_col38, #T_457a2_row3_col79, #T_457a2_row3_col186, #T_457a2_row3_col354, #T_457a2_row3_col394, #T_457a2_row3_col799, #T_457a2_row3_col1074, #T_457a2_row4_col576, #T_457a2_row4_col1321, #T_457a2_row6_col182, #T_457a2_row6_col651, #T_457a2_row7_col579, #T_457a2_row7_col662, #T_457a2_row8_col1171, #T_457a2_row8_col1348, #T_457a2_row9_col152, #T_457a2_row9_col216, #T_457a2_row9_col535, #T_457a2_row9_col661, #T_457a2_row9_col936, #T_457a2_row10_col666, #T_457a2_row11_col8, #T_457a2_row11_col187, #T_457a2_row11_col728, #T_457a2_row11_col907, #T_457a2_row12_col27, #T_457a2_row12_col55, #T_457a2_row12_col101, #T_457a2_row12_col200, #T_457a2_row12_col920, #T_457a2_row12_col1154, #T_457a2_row13_col95, #T_457a2_row13_col234, #T_457a2_row13_col396, #T_457a2_row13_col398, #T_457a2_row13_col815, #T_457a2_row13_col954, #T_457a2_row13_col1206, #T_457a2_row13_col1439, #T_457a2_row14_col1405, #T_457a2_row15_col1121, #T_457a2_row15_col1124, #T_457a2_row15_col1169, #T_457a2_row17_col881, #T_457a2_row17_col1200, #T_457a2_row17_col1333, #T_457a2_row18_col1329, #T_457a2_row18_col1372, #T_457a2_row19_col1224, #T_457a2_row19_col1295, #T_457a2_row19_col1380, #T_457a2_row19_col1401, #T_457a2_row20_col154, #T_457a2_row20_col874, #T_457a2_row20_col1143, #T_457a2_row20_col1198, #T_457a2_row21_col364, #T_457a2_row21_col717, #T_457a2_row23_col1260 {\n",
       "  background-color: #045d92;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col170, #T_457a2_row0_col353, #T_457a2_row0_col391, #T_457a2_row0_col504, #T_457a2_row0_col1073, #T_457a2_row0_col1095, #T_457a2_row0_col1137, #T_457a2_row0_col1253, #T_457a2_row0_col1291, #T_457a2_row0_col1370, #T_457a2_row0_col1385, #T_457a2_row0_col1395, #T_457a2_row1_col335, #T_457a2_row1_col620, #T_457a2_row1_col648, #T_457a2_row1_col1016, #T_457a2_row1_col1055, #T_457a2_row1_col1111, #T_457a2_row2_col38, #T_457a2_row2_col141, #T_457a2_row2_col725, #T_457a2_row2_col861, #T_457a2_row2_col1366, #T_457a2_row3_col90, #T_457a2_row3_col341, #T_457a2_row3_col810, #T_457a2_row3_col1011, #T_457a2_row3_col1061, #T_457a2_row3_col1122, #T_457a2_row3_col1278, #T_457a2_row4_col222, #T_457a2_row4_col335, #T_457a2_row4_col383, #T_457a2_row4_col604, #T_457a2_row4_col969, #T_457a2_row4_col1111, #T_457a2_row5_col532, #T_457a2_row5_col1270, #T_457a2_row6_col593, #T_457a2_row6_col1379, #T_457a2_row7_col50, #T_457a2_row7_col374, #T_457a2_row7_col501, #T_457a2_row7_col743, #T_457a2_row7_col770, #T_457a2_row7_col1108, #T_457a2_row7_col1323, #T_457a2_row8_col625, #T_457a2_row8_col1214, #T_457a2_row8_col1334, #T_457a2_row9_col88, #T_457a2_row9_col335, #T_457a2_row9_col343, #T_457a2_row9_col808, #T_457a2_row9_col1055, #T_457a2_row9_col1063, #T_457a2_row9_col1255, #T_457a2_row9_col1333, #T_457a2_row10_col168, #T_457a2_row10_col429, #T_457a2_row11_col61, #T_457a2_row11_col137, #T_457a2_row11_col605, #T_457a2_row11_col857, #T_457a2_row11_col1056, #T_457a2_row11_col1256, #T_457a2_row12_col110, #T_457a2_row12_col319, #T_457a2_row12_col426, #T_457a2_row12_col438, #T_457a2_row12_col572, #T_457a2_row12_col650, #T_457a2_row12_col719, #T_457a2_row12_col1039, #T_457a2_row12_col1289, #T_457a2_row12_col1385, #T_457a2_row13_col21, #T_457a2_row13_col92, #T_457a2_row13_col335, #T_457a2_row13_col363, #T_457a2_row13_col575, #T_457a2_row13_col741, #T_457a2_row13_col1055, #T_457a2_row14_col388, #T_457a2_row14_col1206, #T_457a2_row14_col1209, #T_457a2_row15_col203, #T_457a2_row15_col282, #T_457a2_row15_col488, #T_457a2_row15_col923, #T_457a2_row15_col1002, #T_457a2_row15_col1219, #T_457a2_row15_col1245, #T_457a2_row15_col1260, #T_457a2_row15_col1322, #T_457a2_row15_col1376, #T_457a2_row16_col304, #T_457a2_row16_col1024, #T_457a2_row16_col1085, #T_457a2_row17_col48, #T_457a2_row17_col82, #T_457a2_row17_col137, #T_457a2_row17_col337, #T_457a2_row17_col857, #T_457a2_row17_col1057, #T_457a2_row17_col1075, #T_457a2_row17_col1220, #T_457a2_row18_col444, #T_457a2_row18_col608, #T_457a2_row18_col1125, #T_457a2_row18_col1297, #T_457a2_row18_col1347, #T_457a2_row18_col1353, #T_457a2_row19_col554, #T_457a2_row19_col607, #T_457a2_row19_col1163, #T_457a2_row19_col1377, #T_457a2_row20_col131, #T_457a2_row20_col133, #T_457a2_row20_col424, #T_457a2_row20_col642, #T_457a2_row20_col853, #T_457a2_row20_col1100, #T_457a2_row21_col331, #T_457a2_row21_col591, #T_457a2_row21_col1356, #T_457a2_row21_col1361, #T_457a2_row21_col1421, #T_457a2_row22_col1121, #T_457a2_row22_col1125, #T_457a2_row22_col1142, #T_457a2_row22_col1417, #T_457a2_row23_col21, #T_457a2_row23_col94, #T_457a2_row23_col741, #T_457a2_row23_col814, #T_457a2_row24_col119, #T_457a2_row24_col839 {\n",
       "  background-color: #167bb6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col175, #T_457a2_row0_col269, #T_457a2_row0_col369, #T_457a2_row0_col640, #T_457a2_row0_col895, #T_457a2_row0_col989, #T_457a2_row0_col1049, #T_457a2_row0_col1106, #T_457a2_row0_col1154, #T_457a2_row0_col1230, #T_457a2_row1_col72, #T_457a2_row1_col622, #T_457a2_row1_col792, #T_457a2_row1_col1211, #T_457a2_row1_col1315, #T_457a2_row1_col1408, #T_457a2_row2_col487, #T_457a2_row2_col683, #T_457a2_row2_col830, #T_457a2_row2_col1314, #T_457a2_row3_col179, #T_457a2_row3_col899, #T_457a2_row3_col1242, #T_457a2_row4_col65, #T_457a2_row4_col396, #T_457a2_row4_col441, #T_457a2_row4_col785, #T_457a2_row5_col18, #T_457a2_row5_col307, #T_457a2_row5_col383, #T_457a2_row5_col738, #T_457a2_row5_col1076, #T_457a2_row6_col126, #T_457a2_row6_col846, #T_457a2_row7_col75, #T_457a2_row7_col366, #T_457a2_row7_col564, #T_457a2_row7_col649, #T_457a2_row7_col795, #T_457a2_row7_col1209, #T_457a2_row7_col1331, #T_457a2_row7_col1373, #T_457a2_row7_col1375, #T_457a2_row8_col592, #T_457a2_row8_col1166, #T_457a2_row8_col1299, #T_457a2_row8_col1392, #T_457a2_row9_col632, #T_457a2_row9_col780, #T_457a2_row9_col1163, #T_457a2_row9_col1317, #T_457a2_row10_col330, #T_457a2_row10_col788, #T_457a2_row10_col1050, #T_457a2_row10_col1314, #T_457a2_row11_col139, #T_457a2_row11_col168, #T_457a2_row11_col259, #T_457a2_row11_col661, #T_457a2_row11_col859, #T_457a2_row11_col888, #T_457a2_row11_col979, #T_457a2_row12_col625, #T_457a2_row12_col1200, #T_457a2_row12_col1266, #T_457a2_row12_col1309, #T_457a2_row12_col1432, #T_457a2_row13_col132, #T_457a2_row13_col140, #T_457a2_row13_col382, #T_457a2_row13_col546, #T_457a2_row13_col636, #T_457a2_row13_col852, #T_457a2_row13_col860, #T_457a2_row13_col899, #T_457a2_row13_col1325, #T_457a2_row14_col1123, #T_457a2_row14_col1208, #T_457a2_row14_col1281, #T_457a2_row15_col150, #T_457a2_row15_col371, #T_457a2_row15_col631, #T_457a2_row15_col870, #T_457a2_row15_col1017, #T_457a2_row15_col1065, #T_457a2_row16_col435, #T_457a2_row16_col546, #T_457a2_row16_col1116, #T_457a2_row17_col173, #T_457a2_row17_col405, #T_457a2_row17_col500, #T_457a2_row17_col518, #T_457a2_row17_col531, #T_457a2_row17_col633, #T_457a2_row17_col893, #T_457a2_row17_col983, #T_457a2_row17_col1005, #T_457a2_row18_col1220, #T_457a2_row19_col5, #T_457a2_row19_col168, #T_457a2_row19_col375, #T_457a2_row19_col659, #T_457a2_row19_col725, #T_457a2_row19_col888, #T_457a2_row19_col1311, #T_457a2_row19_col1320, #T_457a2_row20_col581, #T_457a2_row20_col1349, #T_457a2_row20_col1361, #T_457a2_row21_col377, #T_457a2_row21_col1410, #T_457a2_row22_col387, #T_457a2_row22_col417, #T_457a2_row22_col664, #T_457a2_row22_col769, #T_457a2_row22_col1304, #T_457a2_row23_col1153 {\n",
       "  background-color: #0771b1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col179, #T_457a2_row0_col394, #T_457a2_row0_col472, #T_457a2_row0_col531, #T_457a2_row0_col586, #T_457a2_row0_col899, #T_457a2_row0_col1103, #T_457a2_row0_col1188, #T_457a2_row1_col330, #T_457a2_row1_col380, #T_457a2_row1_col1050, #T_457a2_row2_col20, #T_457a2_row2_col308, #T_457a2_row2_col444, #T_457a2_row2_col740, #T_457a2_row2_col1028, #T_457a2_row2_col1344, #T_457a2_row3_col259, #T_457a2_row3_col290, #T_457a2_row3_col454, #T_457a2_row3_col570, #T_457a2_row3_col1010, #T_457a2_row3_col1120, #T_457a2_row3_col1163, #T_457a2_row4_col1294, #T_457a2_row5_col325, #T_457a2_row5_col1045, #T_457a2_row5_col1199, #T_457a2_row5_col1314, #T_457a2_row5_col1380, #T_457a2_row7_col123, #T_457a2_row7_col147, #T_457a2_row7_col303, #T_457a2_row7_col330, #T_457a2_row7_col337, #T_457a2_row7_col348, #T_457a2_row7_col463, #T_457a2_row7_col710, #T_457a2_row7_col825, #T_457a2_row7_col843, #T_457a2_row7_col867, #T_457a2_row7_col893, #T_457a2_row7_col1023, #T_457a2_row7_col1030, #T_457a2_row7_col1050, #T_457a2_row7_col1057, #T_457a2_row7_col1068, #T_457a2_row7_col1104, #T_457a2_row7_col1403, #T_457a2_row9_col189, #T_457a2_row9_col909, #T_457a2_row9_col1079, #T_457a2_row9_col1102, #T_457a2_row10_col154, #T_457a2_row10_col254, #T_457a2_row10_col874, #T_457a2_row10_col1255, #T_457a2_row11_col1071, #T_457a2_row12_col546, #T_457a2_row12_col1191, #T_457a2_row13_col431, #T_457a2_row13_col535, #T_457a2_row13_col540, #T_457a2_row13_col605, #T_457a2_row13_col726, #T_457a2_row13_col728, #T_457a2_row13_col804, #T_457a2_row13_col1188, #T_457a2_row13_col1387, #T_457a2_row13_col1435, #T_457a2_row14_col1071, #T_457a2_row14_col1120, #T_457a2_row14_col1226, #T_457a2_row14_col1260, #T_457a2_row14_col1323, #T_457a2_row15_col50, #T_457a2_row15_col55, #T_457a2_row15_col64, #T_457a2_row15_col437, #T_457a2_row15_col516, #T_457a2_row15_col597, #T_457a2_row15_col623, #T_457a2_row15_col721, #T_457a2_row15_col770, #T_457a2_row15_col775, #T_457a2_row15_col784, #T_457a2_row15_col1107, #T_457a2_row15_col1129, #T_457a2_row15_col1182, #T_457a2_row16_col1242, #T_457a2_row17_col139, #T_457a2_row17_col140, #T_457a2_row17_col311, #T_457a2_row17_col535, #T_457a2_row17_col685, #T_457a2_row17_col859, #T_457a2_row17_col860, #T_457a2_row17_col1415, #T_457a2_row18_col1218, #T_457a2_row18_col1235, #T_457a2_row18_col1371, #T_457a2_row19_col542, #T_457a2_row19_col1143, #T_457a2_row20_col357, #T_457a2_row20_col657, #T_457a2_row20_col715, #T_457a2_row20_col1077, #T_457a2_row21_col1316, #T_457a2_row22_col1140, #T_457a2_row22_col1197, #T_457a2_row23_col1258, #T_457a2_row24_col234, #T_457a2_row24_col954, #T_457a2_row24_col1394 {\n",
       "  background-color: #046097;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col181, #T_457a2_row0_col316, #T_457a2_row0_col452, #T_457a2_row0_col557, #T_457a2_row0_col901, #T_457a2_row0_col1036, #T_457a2_row0_col1215, #T_457a2_row0_col1217, #T_457a2_row0_col1305, #T_457a2_row0_col1364, #T_457a2_row0_col1436, #T_457a2_row1_col609, #T_457a2_row1_col1108, #T_457a2_row1_col1290, #T_457a2_row2_col8, #T_457a2_row2_col126, #T_457a2_row2_col232, #T_457a2_row2_col291, #T_457a2_row2_col701, #T_457a2_row2_col728, #T_457a2_row2_col846, #T_457a2_row2_col952, #T_457a2_row2_col1011, #T_457a2_row2_col1030, #T_457a2_row2_col1202, #T_457a2_row2_col1318, #T_457a2_row2_col1330, #T_457a2_row2_col1409, #T_457a2_row3_col8, #T_457a2_row3_col85, #T_457a2_row3_col93, #T_457a2_row3_col140, #T_457a2_row3_col214, #T_457a2_row3_col300, #T_457a2_row3_col702, #T_457a2_row3_col728, #T_457a2_row3_col784, #T_457a2_row3_col805, #T_457a2_row3_col813, #T_457a2_row3_col860, #T_457a2_row3_col934, #T_457a2_row3_col1020, #T_457a2_row3_col1106, #T_457a2_row3_col1333, #T_457a2_row3_col1341, #T_457a2_row4_col460, #T_457a2_row4_col676, #T_457a2_row4_col1309, #T_457a2_row5_col47, #T_457a2_row5_col136, #T_457a2_row5_col226, #T_457a2_row5_col486, #T_457a2_row5_col767, #T_457a2_row5_col1174, #T_457a2_row5_col1336, #T_457a2_row5_col1346, #T_457a2_row5_col1407, #T_457a2_row5_col1427, #T_457a2_row6_col111, #T_457a2_row6_col141, #T_457a2_row6_col265, #T_457a2_row6_col363, #T_457a2_row6_col520, #T_457a2_row6_col831, #T_457a2_row6_col861, #T_457a2_row6_col985, #T_457a2_row6_col1021, #T_457a2_row6_col1161, #T_457a2_row6_col1302, #T_457a2_row7_col304, #T_457a2_row7_col1087, #T_457a2_row8_col218, #T_457a2_row8_col635, #T_457a2_row8_col938, #T_457a2_row8_col1296, #T_457a2_row8_col1409, #T_457a2_row9_col242, #T_457a2_row9_col692, #T_457a2_row9_col960, #T_457a2_row9_col1065, #T_457a2_row9_col1211, #T_457a2_row9_col1235, #T_457a2_row10_col1209, #T_457a2_row10_col1405, #T_457a2_row11_col131, #T_457a2_row12_col348, #T_457a2_row12_col697, #T_457a2_row12_col1068, #T_457a2_row12_col1108, #T_457a2_row12_col1118, #T_457a2_row12_col1135, #T_457a2_row12_col1373, #T_457a2_row12_col1380, #T_457a2_row13_col30, #T_457a2_row13_col252, #T_457a2_row13_col750, #T_457a2_row13_col972, #T_457a2_row13_col1283, #T_457a2_row13_col1368, #T_457a2_row13_col1403, #T_457a2_row14_col451, #T_457a2_row14_col1296, #T_457a2_row15_col68, #T_457a2_row15_col154, #T_457a2_row15_col442, #T_457a2_row15_col449, #T_457a2_row15_col600, #T_457a2_row15_col874, #T_457a2_row15_col889, #T_457a2_row15_col1030, #T_457a2_row16_col1119, #T_457a2_row17_col12, #T_457a2_row17_col72, #T_457a2_row17_col226, #T_457a2_row17_col229, #T_457a2_row17_col236, #T_457a2_row17_col316, #T_457a2_row17_col686, #T_457a2_row17_col723, #T_457a2_row17_col732, #T_457a2_row17_col792, #T_457a2_row17_col946, #T_457a2_row17_col949, #T_457a2_row17_col1036, #T_457a2_row17_col1255, #T_457a2_row17_col1318, #T_457a2_row17_col1408, #T_457a2_row18_col330, #T_457a2_row18_col605, #T_457a2_row18_col1324, #T_457a2_row19_col175, #T_457a2_row19_col206, #T_457a2_row19_col535, #T_457a2_row19_col895, #T_457a2_row19_col1165, #T_457a2_row19_col1369, #T_457a2_row20_col16, #T_457a2_row20_col115, #T_457a2_row20_col119, #T_457a2_row20_col164, #T_457a2_row20_col236, #T_457a2_row20_col835, #T_457a2_row20_col839, #T_457a2_row20_col884, #T_457a2_row20_col887, #T_457a2_row20_col891, #T_457a2_row20_col956, #T_457a2_row20_col1136, #T_457a2_row20_col1300, #T_457a2_row20_col1373, #T_457a2_row21_col37, #T_457a2_row21_col416, #T_457a2_row21_col757, #T_457a2_row21_col1332, #T_457a2_row21_col1414, #T_457a2_row23_col142, #T_457a2_row23_col234, #T_457a2_row23_col686, #T_457a2_row23_col954, #T_457a2_row23_col1229, #T_457a2_row23_col1275, #T_457a2_row23_col1328, #T_457a2_row24_col9, #T_457a2_row24_col39, #T_457a2_row24_col729, #T_457a2_row24_col759, #T_457a2_row24_col1370 {\n",
       "  background-color: #4295c3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col182, #T_457a2_row0_col346, #T_457a2_row0_col533, #T_457a2_row0_col902, #T_457a2_row1_col353, #T_457a2_row1_col421, #T_457a2_row1_col433, #T_457a2_row2_col598, #T_457a2_row2_col1207, #T_457a2_row3_col269, #T_457a2_row3_col629, #T_457a2_row4_col661, #T_457a2_row5_col31, #T_457a2_row5_col924, #T_457a2_row7_col40, #T_457a2_row7_col350, #T_457a2_row7_col396, #T_457a2_row7_col799, #T_457a2_row7_col1070, #T_457a2_row7_col1106, #T_457a2_row7_col1122, #T_457a2_row7_col1196, #T_457a2_row7_col1206, #T_457a2_row8_col1416, #T_457a2_row9_col784, #T_457a2_row11_col159, #T_457a2_row11_col271, #T_457a2_row11_col318, #T_457a2_row11_col879, #T_457a2_row11_col991, #T_457a2_row11_col1038, #T_457a2_row12_col1063, #T_457a2_row12_col1121, #T_457a2_row13_col38, #T_457a2_row13_col93, #T_457a2_row13_col153, #T_457a2_row13_col182, #T_457a2_row13_col275, #T_457a2_row13_col316, #T_457a2_row13_col608, #T_457a2_row13_col619, #T_457a2_row13_col826, #T_457a2_row13_col873, #T_457a2_row13_col976, #T_457a2_row13_col995, #T_457a2_row13_col1036, #T_457a2_row13_col1069, #T_457a2_row15_col274, #T_457a2_row15_col276, #T_457a2_row15_col417, #T_457a2_row15_col994, #T_457a2_row15_col1302, #T_457a2_row15_col1349, #T_457a2_row15_col1394, #T_457a2_row15_col1407, #T_457a2_row15_col1431, #T_457a2_row16_col367, #T_457a2_row18_col1211, #T_457a2_row18_col1312, #T_457a2_row18_col1313, #T_457a2_row19_col68, #T_457a2_row19_col788, #T_457a2_row19_col917, #T_457a2_row19_col1262, #T_457a2_row20_col320, #T_457a2_row20_col1040, #T_457a2_row20_col1273, #T_457a2_row21_col1229, #T_457a2_row21_col1299, #T_457a2_row21_col1407, #T_457a2_row24_col1355 {\n",
       "  background-color: #034f7d;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col183, #T_457a2_row0_col812, #T_457a2_row0_col888, #T_457a2_row0_col903, #T_457a2_row0_col1189, #T_457a2_row0_col1232, #T_457a2_row1_col1098, #T_457a2_row1_col1162, #T_457a2_row1_col1166, #T_457a2_row1_col1391, #T_457a2_row2_col162, #T_457a2_row2_col394, #T_457a2_row2_col664, #T_457a2_row2_col671, #T_457a2_row2_col905, #T_457a2_row2_col1376, #T_457a2_row3_col715, #T_457a2_row3_col1123, #T_457a2_row3_col1211, #T_457a2_row3_col1232, #T_457a2_row3_col1277, #T_457a2_row4_col134, #T_457a2_row4_col288, #T_457a2_row4_col854, #T_457a2_row4_col1008, #T_457a2_row4_col1050, #T_457a2_row4_col1372, #T_457a2_row5_col1275, #T_457a2_row5_col1299, #T_457a2_row6_col902, #T_457a2_row7_col385, #T_457a2_row7_col435, #T_457a2_row7_col631, #T_457a2_row7_col1096, #T_457a2_row7_col1127, #T_457a2_row8_col1095, #T_457a2_row8_col1220, #T_457a2_row8_col1290, #T_457a2_row9_col331, #T_457a2_row9_col336, #T_457a2_row9_col533, #T_457a2_row9_col872, #T_457a2_row9_col1051, #T_457a2_row9_col1056, #T_457a2_row11_col13, #T_457a2_row11_col733, #T_457a2_row12_col473, #T_457a2_row12_col775, #T_457a2_row12_col821, #T_457a2_row12_col1103, #T_457a2_row12_col1211, #T_457a2_row12_col1342, #T_457a2_row13_col9, #T_457a2_row13_col113, #T_457a2_row13_col513, #T_457a2_row13_col662, #T_457a2_row13_col729, #T_457a2_row13_col794, #T_457a2_row13_col1111, #T_457a2_row14_col1253, #T_457a2_row15_col160, #T_457a2_row15_col380, #T_457a2_row15_col650, #T_457a2_row15_col666, #T_457a2_row15_col880, #T_457a2_row15_col1099, #T_457a2_row15_col1136, #T_457a2_row15_col1228, #T_457a2_row15_col1282, #T_457a2_row17_col521, #T_457a2_row18_col81, #T_457a2_row18_col801, #T_457a2_row18_col1425, #T_457a2_row20_col400, #T_457a2_row20_col1196, #T_457a2_row20_col1303, #T_457a2_row21_col1087, #T_457a2_row22_col11, #T_457a2_row24_col60 {\n",
       "  background-color: #045e93;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #056ba9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col193, #T_457a2_row0_col213, #T_457a2_row0_col428, #T_457a2_row0_col913, #T_457a2_row0_col933, #T_457a2_row0_col1345, #T_457a2_row1_col44, #T_457a2_row1_col764, #T_457a2_row1_col1377, #T_457a2_row2_col147, #T_457a2_row2_col657, #T_457a2_row2_col867, #T_457a2_row2_col1374, #T_457a2_row3_col589, #T_457a2_row3_col1257, #T_457a2_row4_col136, #T_457a2_row4_col250, #T_457a2_row4_col472, #T_457a2_row4_col592, #T_457a2_row4_col642, #T_457a2_row4_col856, #T_457a2_row4_col1123, #T_457a2_row5_col17, #T_457a2_row5_col100, #T_457a2_row5_col257, #T_457a2_row5_col368, #T_457a2_row5_col671, #T_457a2_row5_col737, #T_457a2_row5_col820, #T_457a2_row5_col877, #T_457a2_row5_col977, #T_457a2_row5_col1170, #T_457a2_row5_col1440, #T_457a2_row6_col42, #T_457a2_row6_col76, #T_457a2_row6_col112, #T_457a2_row6_col185, #T_457a2_row6_col284, #T_457a2_row6_col331, #T_457a2_row6_col451, #T_457a2_row6_col506, #T_457a2_row6_col673, #T_457a2_row6_col762, #T_457a2_row6_col796, #T_457a2_row6_col905, #T_457a2_row6_col1004, #T_457a2_row6_col1051, #T_457a2_row6_col1101, #T_457a2_row6_col1389, #T_457a2_row6_col1423, #T_457a2_row7_col102, #T_457a2_row7_col397, #T_457a2_row7_col559, #T_457a2_row8_col23, #T_457a2_row8_col26, #T_457a2_row8_col672, #T_457a2_row8_col746, #T_457a2_row9_col23, #T_457a2_row9_col36, #T_457a2_row9_col89, #T_457a2_row9_col509, #T_457a2_row9_col562, #T_457a2_row9_col569, #T_457a2_row9_col809, #T_457a2_row9_col1345, #T_457a2_row10_col44, #T_457a2_row10_col130, #T_457a2_row10_col436, #T_457a2_row10_col652, #T_457a2_row10_col850, #T_457a2_row10_col1196, #T_457a2_row10_col1424, #T_457a2_row11_col117, #T_457a2_row11_col153, #T_457a2_row11_col230, #T_457a2_row11_col290, #T_457a2_row11_col400, #T_457a2_row11_col428, #T_457a2_row11_col495, #T_457a2_row11_col596, #T_457a2_row11_col608, #T_457a2_row11_col950, #T_457a2_row11_col1001, #T_457a2_row11_col1010, #T_457a2_row12_col107, #T_457a2_row12_col122, #T_457a2_row12_col541, #T_457a2_row12_col616, #T_457a2_row12_col827, #T_457a2_row12_col842, #T_457a2_row13_col81, #T_457a2_row13_col200, #T_457a2_row13_col752, #T_457a2_row13_col801, #T_457a2_row13_col920, #T_457a2_row13_col1307, #T_457a2_row14_col7, #T_457a2_row14_col47, #T_457a2_row14_col81, #T_457a2_row14_col117, #T_457a2_row14_col549, #T_457a2_row14_col727, #T_457a2_row14_col767, #T_457a2_row14_col1036, #T_457a2_row15_col403, #T_457a2_row15_col495, #T_457a2_row15_col1215, #T_457a2_row16_col68, #T_457a2_row16_col111, #T_457a2_row16_col205, #T_457a2_row16_col537, #T_457a2_row16_col788, #T_457a2_row16_col811, #T_457a2_row16_col1123, #T_457a2_row16_col1173, #T_457a2_row16_col1193, #T_457a2_row16_col1298, #T_457a2_row17_col332, #T_457a2_row17_col356, #T_457a2_row17_col1052, #T_457a2_row17_col1076, #T_457a2_row18_col4, #T_457a2_row18_col41, #T_457a2_row18_col170, #T_457a2_row18_col575, #T_457a2_row18_col586, #T_457a2_row18_col652, #T_457a2_row18_col724, #T_457a2_row18_col761, #T_457a2_row18_col781, #T_457a2_row18_col890, #T_457a2_row19_col54, #T_457a2_row19_col170, #T_457a2_row19_col216, #T_457a2_row19_col337, #T_457a2_row19_col353, #T_457a2_row19_col403, #T_457a2_row19_col516, #T_457a2_row19_col522, #T_457a2_row19_col774, #T_457a2_row19_col890, #T_457a2_row19_col936, #T_457a2_row20_col45, #T_457a2_row20_col273, #T_457a2_row20_col414, #T_457a2_row20_col570, #T_457a2_row20_col765, #T_457a2_row20_col918, #T_457a2_row20_col993, #T_457a2_row20_col1204, #T_457a2_row21_col313, #T_457a2_row21_col418, #T_457a2_row21_col477, #T_457a2_row21_col618, #T_457a2_row21_col833, #T_457a2_row21_col1014, #T_457a2_row21_col1033, #T_457a2_row21_col1186, #T_457a2_row22_col641, #T_457a2_row22_col720, #T_457a2_row22_col781, #T_457a2_row22_col1033, #T_457a2_row22_col1147, #T_457a2_row22_col1353, #T_457a2_row23_col89, #T_457a2_row23_col93, #T_457a2_row23_col179, #T_457a2_row23_col308, #T_457a2_row23_col438, #T_457a2_row23_col644, #T_457a2_row23_col654, #T_457a2_row23_col711, #T_457a2_row23_col809, #T_457a2_row23_col813, #T_457a2_row23_col899, #T_457a2_row23_col1028, #T_457a2_row23_col1156, #T_457a2_row24_col84, #T_457a2_row24_col117, #T_457a2_row24_col331, #T_457a2_row24_col410, #T_457a2_row24_col480, #T_457a2_row24_col591, #T_457a2_row24_col706, #T_457a2_row24_col804, #T_457a2_row24_col837, #T_457a2_row24_col1127, #T_457a2_row24_col1398 {\n",
       "  background-color: #bfc9e1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col198, #T_457a2_row0_col414, #T_457a2_row0_col676, #T_457a2_row0_col918, #T_457a2_row0_col1338, #T_457a2_row0_col1343, #T_457a2_row1_col64, #T_457a2_row1_col1240, #T_457a2_row1_col1443, #T_457a2_row2_col24, #T_457a2_row2_col31, #T_457a2_row2_col160, #T_457a2_row2_col461, #T_457a2_row2_col744, #T_457a2_row2_col874, #T_457a2_row2_col880, #T_457a2_row2_col1112, #T_457a2_row2_col1125, #T_457a2_row2_col1361, #T_457a2_row2_col1412, #T_457a2_row2_col1432, #T_457a2_row2_col1439, #T_457a2_row3_col339, #T_457a2_row3_col393, #T_457a2_row3_col507, #T_457a2_row3_col552, #T_457a2_row3_col595, #T_457a2_row3_col719, #T_457a2_row3_col1059, #T_457a2_row3_col1345, #T_457a2_row3_col1412, #T_457a2_row3_col1432, #T_457a2_row4_col110, #T_457a2_row4_col186, #T_457a2_row4_col490, #T_457a2_row4_col595, #T_457a2_row4_col697, #T_457a2_row4_col906, #T_457a2_row4_col1070, #T_457a2_row5_col302, #T_457a2_row5_col560, #T_457a2_row5_col587, #T_457a2_row5_col956, #T_457a2_row5_col1052, #T_457a2_row5_col1301, #T_457a2_row6_col48, #T_457a2_row6_col219, #T_457a2_row6_col768, #T_457a2_row6_col1288, #T_457a2_row6_col1301, #T_457a2_row7_col476, #T_457a2_row7_col580, #T_457a2_row7_col1270, #T_457a2_row7_col1295, #T_457a2_row8_col435, #T_457a2_row8_col456, #T_457a2_row8_col733, #T_457a2_row8_col1100, #T_457a2_row8_col1126, #T_457a2_row8_col1228, #T_457a2_row8_col1308, #T_457a2_row9_col61, #T_457a2_row9_col393, #T_457a2_row9_col671, #T_457a2_row9_col795, #T_457a2_row9_col1250, #T_457a2_row10_col54, #T_457a2_row10_col192, #T_457a2_row10_col415, #T_457a2_row10_col774, #T_457a2_row10_col912, #T_457a2_row11_col46, #T_457a2_row11_col74, #T_457a2_row11_col236, #T_457a2_row11_col766, #T_457a2_row11_col794, #T_457a2_row11_col901, #T_457a2_row11_col990, #T_457a2_row11_col1427, #T_457a2_row12_col184, #T_457a2_row12_col362, #T_457a2_row12_col497, #T_457a2_row12_col623, #T_457a2_row12_col904, #T_457a2_row12_col961, #T_457a2_row12_col1082, #T_457a2_row12_col1265, #T_457a2_row12_col1326, #T_457a2_row12_col1344, #T_457a2_row13_col642, #T_457a2_row13_col1347, #T_457a2_row13_col1410, #T_457a2_row14_col449, #T_457a2_row14_col584, #T_457a2_row14_col1232, #T_457a2_row14_col1339, #T_457a2_row15_col270, #T_457a2_row15_col392, #T_457a2_row15_col676, #T_457a2_row15_col990, #T_457a2_row15_col1143, #T_457a2_row15_col1173, #T_457a2_row15_col1262, #T_457a2_row16_col201, #T_457a2_row16_col399, #T_457a2_row16_col695, #T_457a2_row16_col921, #T_457a2_row16_col1115, #T_457a2_row16_col1256, #T_457a2_row17_col24, #T_457a2_row17_col103, #T_457a2_row17_col823, #T_457a2_row17_col1196, #T_457a2_row17_col1212, #T_457a2_row18_col437, #T_457a2_row18_col1101, #T_457a2_row18_col1195, #T_457a2_row18_col1242, #T_457a2_row18_col1257, #T_457a2_row18_col1298, #T_457a2_row19_col263, #T_457a2_row19_col324, #T_457a2_row19_col410, #T_457a2_row19_col685, #T_457a2_row19_col1044, #T_457a2_row19_col1091, #T_457a2_row19_col1119, #T_457a2_row19_col1255, #T_457a2_row20_col27, #T_457a2_row20_col93, #T_457a2_row20_col345, #T_457a2_row20_col617, #T_457a2_row20_col747, #T_457a2_row20_col854, #T_457a2_row20_col1007, #T_457a2_row21_col415, #T_457a2_row21_col533, #T_457a2_row21_col644, #T_457a2_row22_col279, #T_457a2_row22_col882, #T_457a2_row22_col999, #T_457a2_row22_col1203, #T_457a2_row23_col55, #T_457a2_row23_col485, #T_457a2_row23_col514, #T_457a2_row23_col633, #T_457a2_row23_col775, #T_457a2_row24_col55, #T_457a2_row24_col203, #T_457a2_row24_col252, #T_457a2_row24_col278, #T_457a2_row24_col775, #T_457a2_row24_col880, #T_457a2_row24_col923, #T_457a2_row24_col937, #T_457a2_row24_col972, #T_457a2_row24_col998, #T_457a2_row24_col1388, #T_457a2_row24_col1399 {\n",
       "  background-color: #348ebf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col200, #T_457a2_row0_col225, #T_457a2_row0_col507, #T_457a2_row0_col920, #T_457a2_row0_col945, #T_457a2_row1_col1191, #T_457a2_row1_col1256, #T_457a2_row1_col1399, #T_457a2_row2_col746, #T_457a2_row2_col1257, #T_457a2_row2_col1379, #T_457a2_row3_col1126, #T_457a2_row4_col356, #T_457a2_row5_col751, #T_457a2_row6_col134, #T_457a2_row6_col588, #T_457a2_row7_col81, #T_457a2_row7_col343, #T_457a2_row7_col403, #T_457a2_row7_col596, #T_457a2_row7_col715, #T_457a2_row7_col801, #T_457a2_row7_col960, #T_457a2_row7_col1063, #T_457a2_row7_col1123, #T_457a2_row7_col1177, #T_457a2_row7_col1242, #T_457a2_row7_col1362, #T_457a2_row8_col1153, #T_457a2_row11_col24, #T_457a2_row11_col220, #T_457a2_row11_col940, #T_457a2_row12_col1138, #T_457a2_row13_col486, #T_457a2_row13_col878, #T_457a2_row14_col1118, #T_457a2_row14_col1217, #T_457a2_row15_col300, #T_457a2_row15_col673, #T_457a2_row15_col1020, #T_457a2_row15_col1101, #T_457a2_row15_col1191, #T_457a2_row15_col1312, #T_457a2_row16_col891, #T_457a2_row17_col415, #T_457a2_row20_col623, #T_457a2_row20_col648, #T_457a2_row20_col941, #T_457a2_row20_col1262, #T_457a2_row20_col1301, #T_457a2_row23_col665, #T_457a2_row24_col1026 {\n",
       "  background-color: #034d79;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col201, #T_457a2_row0_col465, #T_457a2_row0_col921, #T_457a2_row0_col1123, #T_457a2_row0_col1280, #T_457a2_row1_col546, #T_457a2_row2_col1277, #T_457a2_row3_col726, #T_457a2_row5_col1163, #T_457a2_row6_col516, #T_457a2_row7_col874, #T_457a2_row7_col1182, #T_457a2_row8_col650, #T_457a2_row8_col1149, #T_457a2_row8_col1325, #T_457a2_row8_col1371, #T_457a2_row9_col691, #T_457a2_row9_col991, #T_457a2_row11_col925, #T_457a2_row12_col527, #T_457a2_row13_col489, #T_457a2_row13_col666, #T_457a2_row13_col925, #T_457a2_row13_col1370, #T_457a2_row15_col5, #T_457a2_row15_col611, #T_457a2_row15_col725, #T_457a2_row15_col737, #T_457a2_row15_col1298, #T_457a2_row15_col1303, #T_457a2_row18_col695, #T_457a2_row19_col1385, #T_457a2_row21_col1146 {\n",
       "  background-color: #023c5f;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col203, #T_457a2_row0_col1264, #T_457a2_row1_col52, #T_457a2_row1_col55, #T_457a2_row1_col77, #T_457a2_row1_col136, #T_457a2_row1_col482, #T_457a2_row1_col772, #T_457a2_row1_col775, #T_457a2_row1_col797, #T_457a2_row1_col856, #T_457a2_row2_col352, #T_457a2_row2_col562, #T_457a2_row2_col1072, #T_457a2_row2_col1103, #T_457a2_row3_col211, #T_457a2_row3_col422, #T_457a2_row4_col344, #T_457a2_row4_col457, #T_457a2_row4_col563, #T_457a2_row4_col607, #T_457a2_row4_col1064, #T_457a2_row4_col1104, #T_457a2_row5_col52, #T_457a2_row5_col278, #T_457a2_row5_col296, #T_457a2_row5_col524, #T_457a2_row5_col772, #T_457a2_row5_col936, #T_457a2_row5_col1008, #T_457a2_row5_col1026, #T_457a2_row5_col1079, #T_457a2_row6_col61, #T_457a2_row6_col187, #T_457a2_row6_col686, #T_457a2_row6_col907, #T_457a2_row6_col1105, #T_457a2_row6_col1207, #T_457a2_row6_col1278, #T_457a2_row8_col174, #T_457a2_row8_col187, #T_457a2_row8_col244, #T_457a2_row8_col647, #T_457a2_row8_col673, #T_457a2_row8_col717, #T_457a2_row8_col718, #T_457a2_row8_col863, #T_457a2_row8_col894, #T_457a2_row8_col907, #T_457a2_row8_col1144, #T_457a2_row9_col257, #T_457a2_row9_col469, #T_457a2_row9_col559, #T_457a2_row9_col977, #T_457a2_row9_col1254, #T_457a2_row9_col1290, #T_457a2_row10_col71, #T_457a2_row10_col403, #T_457a2_row10_col408, #T_457a2_row10_col463, #T_457a2_row10_col490, #T_457a2_row10_col515, #T_457a2_row10_col621, #T_457a2_row10_col624, #T_457a2_row10_col644, #T_457a2_row10_col737, #T_457a2_row10_col791, #T_457a2_row10_col931, #T_457a2_row10_col1292, #T_457a2_row10_col1396, #T_457a2_row11_col337, #T_457a2_row11_col404, #T_457a2_row11_col539, #T_457a2_row11_col622, #T_457a2_row11_col692, #T_457a2_row11_col1057, #T_457a2_row11_col1106, #T_457a2_row11_col1167, #T_457a2_row11_col1405, #T_457a2_row12_col342, #T_457a2_row12_col607, #T_457a2_row13_col1095, #T_457a2_row13_col1318, #T_457a2_row14_col10, #T_457a2_row14_col588, #T_457a2_row14_col730, #T_457a2_row15_col201, #T_457a2_row15_col484, #T_457a2_row15_col699, #T_457a2_row15_col921, #T_457a2_row16_col164, #T_457a2_row16_col302, #T_457a2_row16_col598, #T_457a2_row16_col705, #T_457a2_row16_col884, #T_457a2_row16_col1293, #T_457a2_row17_col19, #T_457a2_row17_col176, #T_457a2_row17_col298, #T_457a2_row17_col848, #T_457a2_row17_col896, #T_457a2_row17_col1276, #T_457a2_row18_col50, #T_457a2_row18_col119, #T_457a2_row18_col516, #T_457a2_row18_col571, #T_457a2_row18_col770, #T_457a2_row18_col839, #T_457a2_row18_col1252, #T_457a2_row18_col1394, #T_457a2_row19_col295, #T_457a2_row19_col333, #T_457a2_row19_col344, #T_457a2_row19_col540, #T_457a2_row19_col1053, #T_457a2_row19_col1064, #T_457a2_row20_col54, #T_457a2_row20_col72, #T_457a2_row20_col589, #T_457a2_row20_col774, #T_457a2_row20_col792, #T_457a2_row21_col13, #T_457a2_row21_col57, #T_457a2_row21_col200, #T_457a2_row21_col353, #T_457a2_row21_col479, #T_457a2_row21_col494, #T_457a2_row21_col720, #T_457a2_row21_col733, #T_457a2_row21_col777, #T_457a2_row21_col920, #T_457a2_row21_col1118, #T_457a2_row21_col1271, #T_457a2_row22_col32, #T_457a2_row22_col54, #T_457a2_row22_col330, #T_457a2_row22_col774, #T_457a2_row22_col1148, #T_457a2_row22_col1264, #T_457a2_row23_col349, #T_457a2_row23_col544, #T_457a2_row23_col836, #T_457a2_row23_col1069, #T_457a2_row23_col1091, #T_457a2_row23_col1168, #T_457a2_row23_col1314, #T_457a2_row23_col1424, #T_457a2_row23_col1433, #T_457a2_row24_col44, #T_457a2_row24_col185, #T_457a2_row24_col374, #T_457a2_row24_col475, #T_457a2_row24_col493, #T_457a2_row24_col905, #T_457a2_row24_col1064 {\n",
       "  background-color: #d7d6e9;\n",
       "  color: #000000;\n",
       "}\n",
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#T_457a2_row24_col506, #T_457a2_row24_col508, #T_457a2_row24_col511, #T_457a2_row24_col514, #T_457a2_row24_col522, #T_457a2_row24_col530, #T_457a2_row24_col536, #T_457a2_row24_col546, #T_457a2_row24_col550, #T_457a2_row24_col556, #T_457a2_row24_col560, #T_457a2_row24_col572, #T_457a2_row24_col573, #T_457a2_row24_col579, #T_457a2_row24_col582, #T_457a2_row24_col589, #T_457a2_row24_col599, #T_457a2_row24_col603, #T_457a2_row24_col608, #T_457a2_row24_col615, #T_457a2_row24_col618, #T_457a2_row24_col633, #T_457a2_row24_col641, #T_457a2_row24_col643, #T_457a2_row24_col654, #T_457a2_row24_col683, #T_457a2_row24_col685, #T_457a2_row24_col688, #T_457a2_row24_col689, #T_457a2_row24_col695, #T_457a2_row24_col713, #T_457a2_row24_col722, #T_457a2_row24_col732, #T_457a2_row24_col752, #T_457a2_row24_col762, #T_457a2_row24_col824, #T_457a2_row24_col882, #T_457a2_row24_col929, #T_457a2_row24_col978, #T_457a2_row24_col1089, #T_457a2_row24_col1091, #T_457a2_row24_col1096, #T_457a2_row24_col1098, #T_457a2_row24_col1099, #T_457a2_row24_col1100, #T_457a2_row24_col1102, #T_457a2_row24_col1103, #T_457a2_row24_col1115, #T_457a2_row24_col1120, #T_457a2_row24_col1122, #T_457a2_row24_col1125, #T_457a2_row24_col1128, #T_457a2_row24_col1129, #T_457a2_row24_col1130, #T_457a2_row24_col1133, #T_457a2_row24_col1134, #T_457a2_row24_col1135, #T_457a2_row24_col1136, #T_457a2_row24_col1147, #T_457a2_row24_col1152, #T_457a2_row24_col1155, #T_457a2_row24_col1165, #T_457a2_row24_col1166, #T_457a2_row24_col1167, #T_457a2_row24_col1169, #T_457a2_row24_col1170, #T_457a2_row24_col1171, #T_457a2_row24_col1172, #T_457a2_row24_col1173, #T_457a2_row24_col1183, #T_457a2_row24_col1186, #T_457a2_row24_col1190, #T_457a2_row24_col1202, #T_457a2_row24_col1225, #T_457a2_row24_col1226, #T_457a2_row24_col1231, #T_457a2_row24_col1232, #T_457a2_row24_col1234, #T_457a2_row24_col1239, #T_457a2_row24_col1241, #T_457a2_row24_col1244, #T_457a2_row24_col1245, #T_457a2_row24_col1250, #T_457a2_row24_col1253, #T_457a2_row24_col1256, #T_457a2_row24_col1266, #T_457a2_row24_col1267, #T_457a2_row24_col1276, #T_457a2_row24_col1278, #T_457a2_row24_col1279, #T_457a2_row24_col1280, #T_457a2_row24_col1283, #T_457a2_row24_col1285, #T_457a2_row24_col1290, #T_457a2_row24_col1292, #T_457a2_row24_col1293, #T_457a2_row24_col1295, #T_457a2_row24_col1299, #T_457a2_row24_col1300, #T_457a2_row24_col1302, #T_457a2_row24_col1305, #T_457a2_row24_col1308, #T_457a2_row24_col1309, #T_457a2_row24_col1310, #T_457a2_row24_col1313, #T_457a2_row24_col1314, #T_457a2_row24_col1328, #T_457a2_row24_col1335, #T_457a2_row24_col1336, #T_457a2_row24_col1345, #T_457a2_row24_col1349, #T_457a2_row24_col1351, #T_457a2_row24_col1352, #T_457a2_row24_col1353, #T_457a2_row24_col1354, #T_457a2_row24_col1356, #T_457a2_row24_col1378, #T_457a2_row24_col1380, #T_457a2_row24_col1405, #T_457a2_row24_col1407, #T_457a2_row24_col1408, #T_457a2_row24_col1409, #T_457a2_row24_col1421, #T_457a2_row24_col1423, #T_457a2_row24_col1433, #T_457a2_row24_col1434 {\n",
       "  background-color: #fff7fb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col208, #T_457a2_row0_col294, #T_457a2_row0_col645, #T_457a2_row0_col928, #T_457a2_row0_col1353, #T_457a2_row0_col1387, #T_457a2_row1_col237, #T_457a2_row1_col262, #T_457a2_row1_col263, #T_457a2_row1_col919, #T_457a2_row1_col957, #T_457a2_row1_col982, #T_457a2_row2_col190, #T_457a2_row2_col247, #T_457a2_row2_col315, #T_457a2_row2_col512, #T_457a2_row2_col825, #T_457a2_row2_col910, #T_457a2_row2_col967, #T_457a2_row2_col1035, #T_457a2_row2_col1183, #T_457a2_row3_col125, #T_457a2_row3_col667, #T_457a2_row3_col670, #T_457a2_row3_col845, #T_457a2_row3_col1107, #T_457a2_row3_col1178, #T_457a2_row3_col1305, #T_457a2_row3_col1430, #T_457a2_row4_col260, #T_457a2_row4_col692, #T_457a2_row4_col972, #T_457a2_row4_col980, #T_457a2_row4_col1088, #T_457a2_row4_col1236, #T_457a2_row5_col205, #T_457a2_row5_col331, #T_457a2_row5_col510, #T_457a2_row5_col538, #T_457a2_row5_col570, #T_457a2_row5_col612, #T_457a2_row5_col925, #T_457a2_row5_col1051, #T_457a2_row5_col1172, #T_457a2_row5_col1210, #T_457a2_row5_col1292, #T_457a2_row5_col1337, #T_457a2_row6_col25, #T_457a2_row6_col504, #T_457a2_row6_col526, #T_457a2_row6_col1091, #T_457a2_row6_col1108, #T_457a2_row6_col1152, #T_457a2_row6_col1250, #T_457a2_row6_col1385, #T_457a2_row7_col76, #T_457a2_row7_col144, #T_457a2_row7_col462, #T_457a2_row7_col585, #T_457a2_row7_col601, #T_457a2_row7_col796, #T_457a2_row8_col235, #T_457a2_row8_col391, #T_457a2_row8_col496, #T_457a2_row8_col955, #T_457a2_row8_col1396, #T_457a2_row8_col1417, #T_457a2_row9_col114, #T_457a2_row9_col301, #T_457a2_row9_col414, #T_457a2_row9_col443, #T_457a2_row9_col463, #T_457a2_row9_col668, #T_457a2_row9_col835, #T_457a2_row9_col1021, #T_457a2_row10_col100, #T_457a2_row10_col302, #T_457a2_row10_col820, #T_457a2_row10_col1138, #T_457a2_row10_col1321, #T_457a2_row10_col1427, #T_457a2_row11_col239, #T_457a2_row11_col251, #T_457a2_row11_col330, #T_457a2_row11_col534, #T_457a2_row11_col642, #T_457a2_row11_col971, #T_457a2_row11_col1050, #T_457a2_row12_col183, #T_457a2_row12_col251, #T_457a2_row12_col254, #T_457a2_row12_col524, #T_457a2_row12_col558, #T_457a2_row12_col974, #T_457a2_row12_col1171, #T_457a2_row12_col1278, #T_457a2_row12_col1316, #T_457a2_row12_col1414, #T_457a2_row13_col344, #T_457a2_row13_col680, #T_457a2_row13_col809, #T_457a2_row13_col1064, #T_457a2_row13_col1085, #T_457a2_row13_col1136, #T_457a2_row13_col1170, #T_457a2_row14_col514, #T_457a2_row14_col569, #T_457a2_row14_col613, #T_457a2_row14_col674, #T_457a2_row14_col1292, #T_457a2_row15_col11, #T_457a2_row15_col368, #T_457a2_row15_col483, #T_457a2_row15_col528, #T_457a2_row15_col547, #T_457a2_row15_col583, #T_457a2_row15_col966, #T_457a2_row15_col1368, #T_457a2_row16_col150, #T_457a2_row16_col200, #T_457a2_row16_col683, #T_457a2_row16_col696, #T_457a2_row16_col920, #T_457a2_row16_col1105, #T_457a2_row17_col150, #T_457a2_row17_col190, #T_457a2_row17_col397, #T_457a2_row17_col437, #T_457a2_row17_col576, #T_457a2_row17_col582, #T_457a2_row17_col910, #T_457a2_row17_col1077, #T_457a2_row17_col1203, #T_457a2_row17_col1290, #T_457a2_row18_col193, #T_457a2_row18_col280, #T_457a2_row18_col356, #T_457a2_row18_col913, #T_457a2_row18_col1000, #T_457a2_row18_col1018, #T_457a2_row19_col73, #T_457a2_row19_col74, #T_457a2_row19_col144, #T_457a2_row19_col183, #T_457a2_row19_col253, #T_457a2_row19_col267, #T_457a2_row19_col456, #T_457a2_row19_col628, #T_457a2_row19_col631, #T_457a2_row19_col793, #T_457a2_row19_col794, #T_457a2_row19_col864, #T_457a2_row19_col903, #T_457a2_row19_col973, #T_457a2_row19_col987, #T_457a2_row19_col1009, #T_457a2_row19_col1219, #T_457a2_row19_col1305, #T_457a2_row19_col1366, #T_457a2_row19_col1436, #T_457a2_row20_col282, #T_457a2_row20_col352, #T_457a2_row20_col469, #T_457a2_row20_col991, #T_457a2_row20_col1072, #T_457a2_row20_col1115, #T_457a2_row20_col1219, #T_457a2_row20_col1311, #T_457a2_row20_col1350, #T_457a2_row21_col123, #T_457a2_row21_col255, #T_457a2_row21_col323, #T_457a2_row21_col417, #T_457a2_row21_col611, #T_457a2_row21_col713, #T_457a2_row21_col716, #T_457a2_row21_col975, #T_457a2_row21_col1043, #T_457a2_row21_col1324, #T_457a2_row21_col1413, #T_457a2_row22_col383, #T_457a2_row22_col484, #T_457a2_row22_col665, #T_457a2_row22_col1176, #T_457a2_row22_col1433, #T_457a2_row23_col32, #T_457a2_row23_col130, #T_457a2_row23_col189, #T_457a2_row23_col265, #T_457a2_row23_col606, #T_457a2_row23_col909, #T_457a2_row23_col985, #T_457a2_row23_col1291, #T_457a2_row24_col623, #T_457a2_row24_col664 {\n",
       "  background-color: #86b0d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col216, #T_457a2_row0_col521, #T_457a2_row0_col936, #T_457a2_row1_col2, #T_457a2_row1_col927, #T_457a2_row2_col305, #T_457a2_row2_col1025, #T_457a2_row2_col1217, #T_457a2_row3_col31, #T_457a2_row3_col751, #T_457a2_row4_col1293, #T_457a2_row4_col1345, #T_457a2_row4_col1374, #T_457a2_row5_col593, #T_457a2_row6_col87, #T_457a2_row6_col553, #T_457a2_row6_col599, #T_457a2_row6_col807, #T_457a2_row6_col1397, #T_457a2_row7_col261, #T_457a2_row7_col981, #T_457a2_row8_col4, #T_457a2_row8_col35, #T_457a2_row8_col67, #T_457a2_row8_col188, #T_457a2_row8_col202, #T_457a2_row8_col211, #T_457a2_row8_col269, #T_457a2_row8_col386, #T_457a2_row8_col530, #T_457a2_row8_col562, #T_457a2_row8_col699, #T_457a2_row8_col724, #T_457a2_row8_col755, #T_457a2_row8_col903, #T_457a2_row8_col908, #T_457a2_row8_col922, #T_457a2_row8_col931, #T_457a2_row8_col989, #T_457a2_row8_col1115, #T_457a2_row9_col1128, #T_457a2_row9_col1373, #T_457a2_row10_col224, #T_457a2_row10_col639, #T_457a2_row10_col680, #T_457a2_row10_col927, #T_457a2_row10_col944, #T_457a2_row10_col1302, #T_457a2_row10_col1374, #T_457a2_row11_col209, #T_457a2_row11_col929, #T_457a2_row11_col1172, #T_457a2_row11_col1233, #T_457a2_row11_col1267, #T_457a2_row11_col1341, #T_457a2_row12_col416, #T_457a2_row12_col672, #T_457a2_row12_col1105, #T_457a2_row13_col1118, #T_457a2_row13_col1155, #T_457a2_row14_col2, #T_457a2_row14_col181, #T_457a2_row14_col313, #T_457a2_row14_col529, #T_457a2_row14_col577, #T_457a2_row14_col779, #T_457a2_row14_col1033, #T_457a2_row15_col229, #T_457a2_row15_col949, #T_457a2_row16_col53, #T_457a2_row16_col102, #T_457a2_row16_col218, #T_457a2_row16_col305, #T_457a2_row16_col394, #T_457a2_row16_col524, #T_457a2_row16_col610, #T_457a2_row16_col641, #T_457a2_row16_col663, #T_457a2_row16_col773, #T_457a2_row16_col822, #T_457a2_row16_col938, #T_457a2_row16_col1025, #T_457a2_row16_col1402, #T_457a2_row17_col1274, #T_457a2_row18_col8, #T_457a2_row18_col473, #T_457a2_row18_col542, #T_457a2_row18_col563, #T_457a2_row18_col601, #T_457a2_row18_col728, #T_457a2_row19_col301, #T_457a2_row19_col622, #T_457a2_row20_col229, #T_457a2_row20_col949, #T_457a2_row20_col1203, #T_457a2_row21_col15, #T_457a2_row21_col43, #T_457a2_row21_col499, #T_457a2_row21_col735, #T_457a2_row21_col763, #T_457a2_row21_col1205, #T_457a2_row22_col15, #T_457a2_row22_col122, #T_457a2_row22_col213, #T_457a2_row22_col593, #T_457a2_row22_col735, #T_457a2_row22_col842, #T_457a2_row22_col933, #T_457a2_row22_col1057, #T_457a2_row22_col1300, #T_457a2_row22_col1350, #T_457a2_row22_col1401, #T_457a2_row23_col12, #T_457a2_row23_col113, #T_457a2_row23_col457, #T_457a2_row23_col552, #T_457a2_row23_col641, #T_457a2_row23_col732, #T_457a2_row23_col755, #T_457a2_row23_col1004, #T_457a2_row23_col1199, #T_457a2_row23_col1368, #T_457a2_row23_col1374, #T_457a2_row24_col416, #T_457a2_row24_col545, #T_457a2_row24_col1164, #T_457a2_row24_col1344, #T_457a2_row24_col1367 {\n",
       "  background-color: #f8f1f8;\n",
       "  color: #000000;\n",
       "}\n",
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       "  background-color: #0d75b3;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #509ac6;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #2685bb;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #bcc7e1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col233, #T_457a2_row0_col953, #T_457a2_row2_col919, #T_457a2_row3_col59, #T_457a2_row3_col599, #T_457a2_row3_col779, #T_457a2_row4_col160, #T_457a2_row4_col1263, #T_457a2_row5_col93, #T_457a2_row5_col982, #T_457a2_row5_col1176, #T_457a2_row6_col174, #T_457a2_row6_col472, #T_457a2_row6_col1128, #T_457a2_row8_col18, #T_457a2_row8_col32, #T_457a2_row8_col130, #T_457a2_row8_col332, #T_457a2_row8_col411, #T_457a2_row8_col653, #T_457a2_row8_col703, #T_457a2_row8_col738, #T_457a2_row8_col752, #T_457a2_row8_col1052, #T_457a2_row9_col109, #T_457a2_row9_col265, #T_457a2_row9_col829, #T_457a2_row9_col985, #T_457a2_row9_col1017, #T_457a2_row9_col1186, #T_457a2_row10_col106, #T_457a2_row10_col266, #T_457a2_row10_col267, #T_457a2_row10_col462, #T_457a2_row10_col572, #T_457a2_row10_col679, #T_457a2_row10_col826, #T_457a2_row10_col986, #T_457a2_row10_col1171, #T_457a2_row11_col115, #T_457a2_row11_col414, #T_457a2_row11_col466, #T_457a2_row11_col621, #T_457a2_row11_col688, #T_457a2_row11_col825, #T_457a2_row11_col833, #T_457a2_row11_col1182, #T_457a2_row13_col1415, #T_457a2_row14_col68, #T_457a2_row14_col176, #T_457a2_row14_col260, #T_457a2_row14_col445, #T_457a2_row14_col465, #T_457a2_row14_col788, #T_457a2_row14_col896, #T_457a2_row14_col980, #T_457a2_row16_col25, #T_457a2_row16_col160, #T_457a2_row16_col185, #T_457a2_row16_col190, #T_457a2_row16_col248, #T_457a2_row16_col273, #T_457a2_row16_col646, #T_457a2_row16_col745, #T_457a2_row16_col880, #T_457a2_row16_col905, #T_457a2_row16_col910, #T_457a2_row16_col932, #T_457a2_row16_col968, #T_457a2_row17_col431, #T_457a2_row17_col1345, #T_457a2_row18_col124, #T_457a2_row18_col303, #T_457a2_row18_col619, #T_457a2_row18_col844, #T_457a2_row18_col881, #T_457a2_row18_col914, #T_457a2_row18_col1021, #T_457a2_row18_col1023, #T_457a2_row18_col1261, #T_457a2_row20_col1055, #T_457a2_row21_col89, #T_457a2_row21_col98, #T_457a2_row21_col466, #T_457a2_row21_col517, #T_457a2_row21_col809, #T_457a2_row21_col818, #T_457a2_row21_col1029, #T_457a2_row22_col393, #T_457a2_row22_col467, #T_457a2_row22_col757, #T_457a2_row22_col814, #T_457a2_row22_col1307, #T_457a2_row23_col25, #T_457a2_row23_col313, #T_457a2_row23_col434, #T_457a2_row23_col518, #T_457a2_row23_col745, #T_457a2_row23_col1033, #T_457a2_row24_col144, #T_457a2_row24_col243, #T_457a2_row24_col437, #T_457a2_row24_col526, #T_457a2_row24_col607, #T_457a2_row24_col864, #T_457a2_row24_col1338 {\n",
       "  background-color: #e3e0ee;\n",
       "  color: #000000;\n",
       "}\n",
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       "  background-color: #3d93c2;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #d5d5e8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col243, #T_457a2_row0_col435, #T_457a2_row0_col630, #T_457a2_row0_col710, #T_457a2_row0_col963, #T_457a2_row0_col1067, #T_457a2_row0_col1183, #T_457a2_row1_col148, #T_457a2_row1_col558, #T_457a2_row1_col670, #T_457a2_row1_col868, #T_457a2_row1_col902, #T_457a2_row1_col1000, #T_457a2_row1_col1137, #T_457a2_row1_col1344, #T_457a2_row1_col1366, #T_457a2_row2_col159, #T_457a2_row2_col196, #T_457a2_row2_col371, #T_457a2_row2_col626, #T_457a2_row2_col707, #T_457a2_row2_col831, #T_457a2_row2_col879, #T_457a2_row2_col916, #T_457a2_row2_col1024, #T_457a2_row2_col1134, #T_457a2_row2_col1205, #T_457a2_row2_col1242, #T_457a2_row2_col1357, #T_457a2_row3_col96, #T_457a2_row3_col252, #T_457a2_row3_col297, #T_457a2_row3_col386, #T_457a2_row3_col566, #T_457a2_row3_col593, #T_457a2_row3_col972, #T_457a2_row3_col1086, #T_457a2_row3_col1225, #T_457a2_row3_col1271, #T_457a2_row4_col81, #T_457a2_row4_col198, #T_457a2_row4_col271, #T_457a2_row4_col294, #T_457a2_row4_col295, #T_457a2_row4_col331, #T_457a2_row4_col557, #T_457a2_row4_col918, #T_457a2_row4_col991, #T_457a2_row4_col1014, #T_457a2_row4_col1437, #T_457a2_row5_col247, #T_457a2_row5_col967, #T_457a2_row5_col1177, #T_457a2_row5_col1286, #T_457a2_row5_col1305, #T_457a2_row5_col1309, #T_457a2_row5_col1425, #T_457a2_row6_col405, #T_457a2_row6_col734, #T_457a2_row6_col1070, #T_457a2_row7_col191, #T_457a2_row7_col432, #T_457a2_row7_col545, #T_457a2_row7_col588, #T_457a2_row7_col911, #T_457a2_row7_col1094, #T_457a2_row7_col1171, #T_457a2_row7_col1307, #T_457a2_row8_col1304, #T_457a2_row8_col1330, #T_457a2_row9_col20, #T_457a2_row9_col350, #T_457a2_row9_col375, #T_457a2_row9_col378, #T_457a2_row9_col615, #T_457a2_row9_col740, #T_457a2_row9_col1150, #T_457a2_row9_col1174, #T_457a2_row9_col1385, #T_457a2_row9_col1389, #T_457a2_row10_col491, #T_457a2_row10_col1246, #T_457a2_row10_col1286, #T_457a2_row10_col1391, #T_457a2_row11_col279, #T_457a2_row11_col507, #T_457a2_row11_col999, #T_457a2_row12_col50, #T_457a2_row12_col300, #T_457a2_row12_col496, #T_457a2_row12_col525, #T_457a2_row12_col679, #T_457a2_row12_col685, #T_457a2_row12_col770, #T_457a2_row12_col1020, #T_457a2_row12_col1263, #T_457a2_row12_col1281, #T_457a2_row12_col1300, #T_457a2_row12_col1304, #T_457a2_row12_col1323, #T_457a2_row12_col1427, #T_457a2_row13_col714, #T_457a2_row13_col992, #T_457a2_row13_col1402, #T_457a2_row14_col1126, #T_457a2_row14_col1127, #T_457a2_row15_col95, #T_457a2_row15_col601, #T_457a2_row15_col679, #T_457a2_row15_col695, #T_457a2_row15_col815, #T_457a2_row15_col1161, #T_457a2_row15_col1415, #T_457a2_row17_col1164, #T_457a2_row17_col1358, #T_457a2_row17_col1367, #T_457a2_row17_col1436, #T_457a2_row18_col130, #T_457a2_row18_col525, #T_457a2_row18_col572, #T_457a2_row18_col850, #T_457a2_row18_col886, #T_457a2_row18_col938, #T_457a2_row18_col1107, #T_457a2_row18_col1216, #T_457a2_row18_col1320, #T_457a2_row19_col424, #T_457a2_row19_col489, #T_457a2_row19_col600, #T_457a2_row19_col684, #T_457a2_row19_col952, #T_457a2_row19_col1136, #T_457a2_row19_col1235, #T_457a2_row19_col1268, #T_457a2_row19_col1282, #T_457a2_row20_col49, #T_457a2_row20_col389, #T_457a2_row20_col401, #T_457a2_row20_col667, #T_457a2_row20_col769, #T_457a2_row20_col917, #T_457a2_row20_col1195, #T_457a2_row20_col1347, #T_457a2_row20_col1415, #T_457a2_row20_col1423, #T_457a2_row21_col596, #T_457a2_row21_col1152, #T_457a2_row21_col1208, #T_457a2_row21_col1256, #T_457a2_row22_col96, #T_457a2_row22_col410, #T_457a2_row22_col557, #T_457a2_row22_col816, #T_457a2_row22_col1437, #T_457a2_row23_col355, #T_457a2_row23_col1056, #T_457a2_row23_col1065, #T_457a2_row23_col1075, #T_457a2_row23_col1190, #T_457a2_row23_col1247, #T_457a2_row24_col231, #T_457a2_row24_col276, #T_457a2_row24_col592, #T_457a2_row24_col611, #T_457a2_row24_col640, #T_457a2_row24_col787, #T_457a2_row24_col951, #T_457a2_row24_col996, #T_457a2_row24_col1105, #T_457a2_row24_col1210 {\n",
       "  background-color: #2987bc;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col254, #T_457a2_row0_col582, #T_457a2_row0_col974, #T_457a2_row1_col60, #T_457a2_row1_col256, #T_457a2_row1_col400, #T_457a2_row1_col780, #T_457a2_row1_col976, #T_457a2_row1_col1084, #T_457a2_row1_col1326, #T_457a2_row2_col346, #T_457a2_row2_col903, #T_457a2_row2_col1117, #T_457a2_row2_col1119, #T_457a2_row3_col314, #T_457a2_row3_col494, #T_457a2_row3_col583, #T_457a2_row3_col1034, #T_457a2_row3_col1214, #T_457a2_row3_col1222, #T_457a2_row3_col1364, #T_457a2_row3_col1392, #T_457a2_row4_col717, #T_457a2_row4_col1280, #T_457a2_row5_col14, #T_457a2_row5_col162, #T_457a2_row5_col188, #T_457a2_row5_col429, #T_457a2_row5_col734, #T_457a2_row5_col908, #T_457a2_row5_col1252, #T_457a2_row6_col21, #T_457a2_row6_col66, #T_457a2_row6_col95, #T_457a2_row6_col156, #T_457a2_row6_col741, #T_457a2_row6_col786, #T_457a2_row6_col815, #T_457a2_row6_col1055, #T_457a2_row7_col294, #T_457a2_row7_col357, #T_457a2_row7_col533, #T_457a2_row7_col1014, #T_457a2_row7_col1077, #T_457a2_row7_col1090, #T_457a2_row7_col1097, #T_457a2_row7_col1191, #T_457a2_row7_col1406, #T_457a2_row7_col1413, #T_457a2_row8_col1123, #T_457a2_row8_col1145, #T_457a2_row8_col1180, #T_457a2_row8_col1235, #T_457a2_row8_col1357, #T_457a2_row8_col1361, #T_457a2_row8_col1414, #T_457a2_row9_col55, #T_457a2_row9_col186, #T_457a2_row9_col412, #T_457a2_row9_col573, #T_457a2_row9_col708, #T_457a2_row9_col775, #T_457a2_row10_col483, #T_457a2_row10_col1240, #T_457a2_row11_col4, #T_457a2_row11_col19, #T_457a2_row11_col349, #T_457a2_row11_col724, #T_457a2_row11_col1069, #T_457a2_row12_col21, #T_457a2_row12_col145, #T_457a2_row12_col410, #T_457a2_row12_col479, #T_457a2_row12_col714, #T_457a2_row12_col741, #T_457a2_row12_col1098, #T_457a2_row12_col1411, #T_457a2_row13_col31, #T_457a2_row13_col112, #T_457a2_row13_col174, #T_457a2_row13_col193, #T_457a2_row13_col697, #T_457a2_row13_col832, #T_457a2_row13_col894, #T_457a2_row13_col913, #T_457a2_row13_col1103, #T_457a2_row13_col1229, #T_457a2_row14_col440, #T_457a2_row14_col1151, #T_457a2_row14_col1228, #T_457a2_row14_col1347, #T_457a2_row14_col1359, #T_457a2_row15_col179, #T_457a2_row15_col204, #T_457a2_row15_col405, #T_457a2_row15_col412, #T_457a2_row15_col490, #T_457a2_row15_col696, #T_457a2_row15_col801, #T_457a2_row15_col924, #T_457a2_row15_col1131, #T_457a2_row15_col1329, #T_457a2_row16_col557, #T_457a2_row16_col1086, #T_457a2_row16_col1405, #T_457a2_row17_col331, #T_457a2_row17_col880, #T_457a2_row17_col1051, #T_457a2_row18_col177, #T_457a2_row18_col897, #T_457a2_row18_col1112, #T_457a2_row18_col1278, #T_457a2_row18_col1354, #T_457a2_row18_col1355, #T_457a2_row19_col307, #T_457a2_row19_col420, #T_457a2_row19_col1117, #T_457a2_row19_col1197, #T_457a2_row19_col1225, #T_457a2_row20_col195, #T_457a2_row20_col260, #T_457a2_row20_col440, #T_457a2_row20_col477, #T_457a2_row20_col714, #T_457a2_row20_col915, #T_457a2_row20_col980, #T_457a2_row20_col1213, #T_457a2_row20_col1223, #T_457a2_row21_col14, #T_457a2_row21_col734, #T_457a2_row21_col962, #T_457a2_row22_col810, #T_457a2_row22_col1370, #T_457a2_row23_col703, #T_457a2_row24_col68, #T_457a2_row24_col788 {\n",
       "  background-color: #1077b4;\n",
       "  color: #f1f1f1;\n",
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       "#T_457a2_row0_col255, #T_457a2_row0_col270, #T_457a2_row0_col387, #T_457a2_row0_col588, #T_457a2_row0_col990, #T_457a2_row0_col1116, #T_457a2_row0_col1199, #T_457a2_row0_col1399, #T_457a2_row1_col116, #T_457a2_row1_col138, #T_457a2_row1_col551, #T_457a2_row1_col858, #T_457a2_row1_col1086, #T_457a2_row1_col1238, #T_457a2_row1_col1343, #T_457a2_row2_col96, #T_457a2_row2_col816, #T_457a2_row2_col1148, #T_457a2_row2_col1164, #T_457a2_row2_col1178, #T_457a2_row2_col1322, #T_457a2_row3_col181, #T_457a2_row3_col249, #T_457a2_row3_col320, #T_457a2_row3_col334, #T_457a2_row3_col392, #T_457a2_row3_col489, #T_457a2_row3_col600, #T_457a2_row3_col642, #T_457a2_row3_col901, #T_457a2_row3_col1054, #T_457a2_row3_col1185, #T_457a2_row3_col1287, #T_457a2_row3_col1419, #T_457a2_row3_col1440, #T_457a2_row4_col14, #T_457a2_row4_col203, #T_457a2_row4_col384, #T_457a2_row4_col427, #T_457a2_row4_col447, #T_457a2_row4_col585, #T_457a2_row4_col734, #T_457a2_row4_col923, #T_457a2_row4_col1216, #T_457a2_row4_col1434, #T_457a2_row5_col281, #T_457a2_row5_col283, #T_457a2_row5_col360, #T_457a2_row5_col430, #T_457a2_row5_col507, #T_457a2_row5_col678, #T_457a2_row5_col766, #T_457a2_row5_col789, #T_457a2_row5_col1003, #T_457a2_row5_col1080, #T_457a2_row5_col1160, #T_457a2_row5_col1344, #T_457a2_row5_col1381, #T_457a2_row5_col1399, #T_457a2_row6_col32, #T_457a2_row6_col181, #T_457a2_row6_col693, #T_457a2_row6_col798, #T_457a2_row6_col901, #T_457a2_row7_col116, #T_457a2_row7_col293, #T_457a2_row7_col1013, #T_457a2_row7_col1145, #T_457a2_row7_col1165, #T_457a2_row7_col1184, #T_457a2_row7_col1247, #T_457a2_row7_col1306, #T_457a2_row8_col278, #T_457a2_row8_col361, #T_457a2_row8_col656, #T_457a2_row8_col998, #T_457a2_row8_col1081, #T_457a2_row8_col1314, #T_457a2_row9_col319, #T_457a2_row9_col540, #T_457a2_row9_col629, #T_457a2_row9_col641, #T_457a2_row9_col712, #T_457a2_row9_col1039, #T_457a2_row9_col1209, #T_457a2_row9_col1353, #T_457a2_row10_col88, #T_457a2_row10_col175, #T_457a2_row10_col359, #T_457a2_row10_col706, #T_457a2_row10_col789, #T_457a2_row10_col895, #T_457a2_row10_col1187, #T_457a2_row10_col1225, #T_457a2_row10_col1326, #T_457a2_row11_col49, #T_457a2_row11_col95, #T_457a2_row11_col214, #T_457a2_row11_col296, #T_457a2_row11_col483, #T_457a2_row11_col769, #T_457a2_row11_col815, #T_457a2_row11_col886, #T_457a2_row11_col934, #T_457a2_row11_col1016, #T_457a2_row11_col1137, #T_457a2_row12_col106, #T_457a2_row12_col144, #T_457a2_row12_col233, #T_457a2_row12_col249, #T_457a2_row12_col789, #T_457a2_row12_col953, #T_457a2_row12_col1092, #T_457a2_row12_col1335, #T_457a2_row12_col1367, #T_457a2_row13_col1171, #T_457a2_row14_col192, #T_457a2_row14_col417, #T_457a2_row14_col641, #T_457a2_row14_col683, #T_457a2_row14_col912, #T_457a2_row14_col1407, #T_457a2_row15_col187, #T_457a2_row15_col299, #T_457a2_row15_col314, #T_457a2_row15_col524, #T_457a2_row15_col690, #T_457a2_row15_col708, #T_457a2_row15_col907, #T_457a2_row15_col1019, #T_457a2_row15_col1027, #T_457a2_row15_col1034, #T_457a2_row15_col1114, #T_457a2_row16_col75, #T_457a2_row16_col686, #T_457a2_row17_col276, #T_457a2_row17_col413, #T_457a2_row17_col463, #T_457a2_row17_col841, #T_457a2_row17_col996, #T_457a2_row17_col1170, #T_457a2_row17_col1440, #T_457a2_row18_col115, #T_457a2_row18_col184, #T_457a2_row18_col573, #T_457a2_row18_col835, #T_457a2_row18_col904, #T_457a2_row18_col1014, #T_457a2_row18_col1143, #T_457a2_row18_col1144, #T_457a2_row18_col1145, #T_457a2_row18_col1187, #T_457a2_row18_col1408, #T_457a2_row18_col1443, #T_457a2_row19_col16, #T_457a2_row19_col111, #T_457a2_row19_col227, #T_457a2_row19_col279, #T_457a2_row19_col409, #T_457a2_row19_col448, #T_457a2_row19_col505, #T_457a2_row19_col609, #T_457a2_row19_col691, #T_457a2_row19_col695, #T_457a2_row19_col831, #T_457a2_row19_col947, #T_457a2_row19_col999, #T_457a2_row19_col1093, #T_457a2_row19_col1156, #T_457a2_row20_col191, #T_457a2_row20_col407, #T_457a2_row20_col713, #T_457a2_row20_col822, #T_457a2_row20_col911, #T_457a2_row20_col1332, #T_457a2_row21_col5, #T_457a2_row21_col206, #T_457a2_row21_col259, #T_457a2_row21_col926, #T_457a2_row21_col979, #T_457a2_row21_col1123, #T_457a2_row22_col204, #T_457a2_row22_col323, #T_457a2_row22_col533, #T_457a2_row22_col707, #T_457a2_row22_col729, #T_457a2_row22_col924, #T_457a2_row22_col1043, #T_457a2_row23_col14, #T_457a2_row24_col89, #T_457a2_row24_col809 {\n",
       "  background-color: #63a2cb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col256, #T_457a2_row0_col332, #T_457a2_row0_col976, #T_457a2_row0_col1052, #T_457a2_row1_col21, #T_457a2_row1_col507, #T_457a2_row1_col741, #T_457a2_row1_col1145, #T_457a2_row1_col1380, #T_457a2_row2_col26, #T_457a2_row2_col1055, #T_457a2_row2_col1188, #T_457a2_row3_col176, #T_457a2_row3_col1192, #T_457a2_row4_col526, #T_457a2_row7_col82, #T_457a2_row7_col240, #T_457a2_row9_col438, #T_457a2_row11_col744, #T_457a2_row12_col73, #T_457a2_row12_col793, #T_457a2_row13_col243, #T_457a2_row14_col1109, #T_457a2_row14_col1439, #T_457a2_row15_col1401, #T_457a2_row17_col668, #T_457a2_row18_col392, #T_457a2_row18_col1375, #T_457a2_row19_col248, #T_457a2_row19_col968, #T_457a2_row20_col126, #T_457a2_row20_col323, #T_457a2_row20_col453, #T_457a2_row20_col485, #T_457a2_row20_col717, #T_457a2_row20_col1374 {\n",
       "  background-color: #034c78;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col258, #T_457a2_row0_col455, #T_457a2_row0_col605, #T_457a2_row0_col978, #T_457a2_row0_col1279, #T_457a2_row1_col384, #T_457a2_row1_col626, #T_457a2_row1_col656, #T_457a2_row1_col1127, #T_457a2_row2_col391, #T_457a2_row3_col289, #T_457a2_row3_col523, #T_457a2_row3_col1009, #T_457a2_row3_col1229, #T_457a2_row4_col176, #T_457a2_row4_col798, #T_457a2_row4_col1003, #T_457a2_row6_col275, #T_457a2_row6_col663, #T_457a2_row6_col995, #T_457a2_row7_col51, #T_457a2_row7_col105, #T_457a2_row7_col464, #T_457a2_row7_col503, #T_457a2_row7_col655, #T_457a2_row7_col720, #T_457a2_row7_col771, #T_457a2_row7_col1280, #T_457a2_row7_col1286, #T_457a2_row9_col351, #T_457a2_row9_col674, #T_457a2_row9_col715, #T_457a2_row9_col1248, #T_457a2_row10_col1394, #T_457a2_row11_col123, #T_457a2_row12_col833, #T_457a2_row12_col1117, #T_457a2_row13_col84, #T_457a2_row13_col189, #T_457a2_row13_col676, #T_457a2_row13_col909, #T_457a2_row13_col1384, #T_457a2_row14_col1432, #T_457a2_row15_col415, #T_457a2_row15_col464, #T_457a2_row15_col500, #T_457a2_row15_col1170, #T_457a2_row15_col1196, #T_457a2_row17_col69, #T_457a2_row17_col498, #T_457a2_row17_col504, #T_457a2_row17_col689, #T_457a2_row17_col1182, #T_457a2_row18_col632, #T_457a2_row18_col1248, #T_457a2_row19_col1232, #T_457a2_row19_col1294, #T_457a2_row20_col84, #T_457a2_row20_col804, #T_457a2_row20_col1439, #T_457a2_row21_col388, #T_457a2_row21_col571, #T_457a2_row22_col962 {\n",
       "  background-color: #046096;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col265, #T_457a2_row0_col608, #T_457a2_row0_col642, #T_457a2_row0_col985, #T_457a2_row0_col1120, #T_457a2_row0_col1177, #T_457a2_row0_col1313, #T_457a2_row1_col805, #T_457a2_row1_col1228, #T_457a2_row1_col1438, #T_457a2_row2_col276, #T_457a2_row2_col522, #T_457a2_row2_col844, #T_457a2_row2_col996, #T_457a2_row2_col1104, #T_457a2_row2_col1228, #T_457a2_row3_col107, #T_457a2_row3_col673, #T_457a2_row3_col827, #T_457a2_row4_col378, #T_457a2_row4_col437, #T_457a2_row4_col828, #T_457a2_row5_col1133, #T_457a2_row6_col128, #T_457a2_row6_col848, #T_457a2_row7_col438, #T_457a2_row7_col522, #T_457a2_row7_col1100, #T_457a2_row7_col1223, #T_457a2_row7_col1228, #T_457a2_row7_col1289, #T_457a2_row7_col1436, #T_457a2_row9_col361, #T_457a2_row9_col1081, #T_457a2_row9_col1177, #T_457a2_row11_col351, #T_457a2_row11_col905, #T_457a2_row12_col123, #T_457a2_row12_col170, #T_457a2_row12_col332, #T_457a2_row12_col715, #T_457a2_row12_col890, #T_457a2_row12_col1052, #T_457a2_row12_col1370, #T_457a2_row13_col317, #T_457a2_row13_col517, #T_457a2_row13_col795, #T_457a2_row13_col1037, #T_457a2_row13_col1424, #T_457a2_row14_col351, #T_457a2_row14_col1213, #T_457a2_row14_col1417, #T_457a2_row15_col398, #T_457a2_row15_col1214, #T_457a2_row15_col1230, #T_457a2_row15_col1353, #T_457a2_row17_col528, #T_457a2_row17_col1145, #T_457a2_row17_col1188, #T_457a2_row20_col176, #T_457a2_row20_col316, #T_457a2_row20_col351, #T_457a2_row20_col429, #T_457a2_row20_col514, #T_457a2_row20_col1071, #T_457a2_row21_col1109, #T_457a2_row21_col1266, #T_457a2_row23_col652, #T_457a2_row24_col205 {\n",
       "  background-color: #046299;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col274, #T_457a2_row0_col523, #T_457a2_row0_col584, #T_457a2_row0_col590, #T_457a2_row0_col624, #T_457a2_row0_col932, #T_457a2_row0_col994, #T_457a2_row0_col1235, #T_457a2_row1_col49, #T_457a2_row1_col769, #T_457a2_row3_col231, #T_457a2_row3_col370, #T_457a2_row3_col380, #T_457a2_row3_col461, #T_457a2_row3_col686, #T_457a2_row3_col951, #T_457a2_row3_col1270, #T_457a2_row4_col377, #T_457a2_row4_col414, #T_457a2_row4_col418, #T_457a2_row4_col434, #T_457a2_row4_col521, #T_457a2_row4_col1145, #T_457a2_row5_col8, #T_457a2_row5_col523, #T_457a2_row5_col728, #T_457a2_row5_col1236, #T_457a2_row5_col1250, #T_457a2_row6_col9, #T_457a2_row6_col28, #T_457a2_row6_col30, #T_457a2_row6_col55, #T_457a2_row6_col220, #T_457a2_row6_col530, #T_457a2_row6_col682, #T_457a2_row6_col716, #T_457a2_row6_col729, #T_457a2_row6_col748, #T_457a2_row6_col750, #T_457a2_row6_col775, #T_457a2_row6_col931, #T_457a2_row6_col940, #T_457a2_row6_col1186, #T_457a2_row7_col1201, #T_457a2_row7_col1298, #T_457a2_row8_col53, #T_457a2_row8_col230, #T_457a2_row8_col234, #T_457a2_row8_col501, #T_457a2_row8_col510, #T_457a2_row8_col692, #T_457a2_row8_col773, #T_457a2_row8_col950, #T_457a2_row8_col954, #T_457a2_row9_col95, #T_457a2_row9_col310, #T_457a2_row9_col815, #T_457a2_row9_col1030, #T_457a2_row9_col1151, #T_457a2_row9_col1167, #T_457a2_row10_col128, #T_457a2_row10_col370, #T_457a2_row10_col420, #T_457a2_row10_col460, #T_457a2_row10_col482, #T_457a2_row10_col686, #T_457a2_row10_col848, #T_457a2_row10_col1146, #T_457a2_row10_col1152, #T_457a2_row10_col1182, #T_457a2_row10_col1355, #T_457a2_row10_col1438, #T_457a2_row11_col329, #T_457a2_row11_col407, #T_457a2_row11_col1049, #T_457a2_row11_col1250, #T_457a2_row12_col174, #T_457a2_row12_col323, #T_457a2_row12_col402, #T_457a2_row12_col507, #T_457a2_row12_col536, #T_457a2_row12_col578, #T_457a2_row12_col894, #T_457a2_row12_col1043, #T_457a2_row12_col1140, #T_457a2_row12_col1173, #T_457a2_row13_col47, #T_457a2_row13_col49, #T_457a2_row13_col1110, #T_457a2_row13_col1317, #T_457a2_row13_col1428, #T_457a2_row14_col5, #T_457a2_row14_col94, #T_457a2_row14_col120, #T_457a2_row14_col297, #T_457a2_row14_col423, #T_457a2_row14_col677, #T_457a2_row14_col725, #T_457a2_row14_col814, #T_457a2_row14_col840, #T_457a2_row14_col1284, #T_457a2_row15_col58, #T_457a2_row15_col115, #T_457a2_row15_col145, #T_457a2_row15_col200, #T_457a2_row15_col288, #T_457a2_row15_col355, #T_457a2_row15_col469, #T_457a2_row15_col764, #T_457a2_row15_col778, #T_457a2_row15_col901, #T_457a2_row15_col920, #T_457a2_row15_col1008, #T_457a2_row16_col5, #T_457a2_row16_col630, #T_457a2_row16_col924, #T_457a2_row17_col194, #T_457a2_row17_col195, #T_457a2_row17_col526, #T_457a2_row17_col808, #T_457a2_row17_col885, #T_457a2_row17_col914, #T_457a2_row17_col915, #T_457a2_row17_col1221, #T_457a2_row17_col1327, #T_457a2_row18_col114, #T_457a2_row18_col137, #T_457a2_row18_col221, #T_457a2_row18_col269, #T_457a2_row18_col335, #T_457a2_row18_col423, #T_457a2_row18_col647, #T_457a2_row18_col834, #T_457a2_row18_col857, #T_457a2_row18_col982, #T_457a2_row18_col989, #T_457a2_row18_col1127, #T_457a2_row18_col1134, #T_457a2_row18_col1149, #T_457a2_row19_col41, #T_457a2_row19_col676, #T_457a2_row19_col761, #T_457a2_row19_col1210, #T_457a2_row19_col1335, #T_457a2_row20_col248, #T_457a2_row20_col701, #T_457a2_row20_col1114, #T_457a2_row20_col1166, #T_457a2_row21_col271, #T_457a2_row21_col284, #T_457a2_row21_col287, #T_457a2_row21_col297, #T_457a2_row21_col991, #T_457a2_row21_col1017, #T_457a2_row21_col1296, #T_457a2_row21_col1432, #T_457a2_row22_col100, #T_457a2_row22_col113, #T_457a2_row22_col130, #T_457a2_row22_col285, #T_457a2_row22_col318, #T_457a2_row22_col504, #T_457a2_row22_col592, #T_457a2_row22_col646, #T_457a2_row22_col736, #T_457a2_row22_col833, #T_457a2_row22_col850, #T_457a2_row22_col1038, #T_457a2_row22_col1205, #T_457a2_row22_col1246, #T_457a2_row23_col102, #T_457a2_row23_col343, #T_457a2_row23_col579, #T_457a2_row23_col822, #T_457a2_row23_col1063, #T_457a2_row23_col1095, #T_457a2_row24_col133, #T_457a2_row24_col277, #T_457a2_row24_col284, #T_457a2_row24_col417, #T_457a2_row24_col431, #T_457a2_row24_col458, #T_457a2_row24_col853, #T_457a2_row24_col949, #T_457a2_row24_col997, #T_457a2_row24_col1275 {\n",
       "  background-color: #94b6d7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col276, #T_457a2_row0_col512, #T_457a2_row0_col668, #T_457a2_row0_col996, #T_457a2_row0_col1098, #T_457a2_row0_col1278, #T_457a2_row1_col85, #T_457a2_row2_col1172, #T_457a2_row3_col323, #T_457a2_row3_col343, #T_457a2_row3_col359, #T_457a2_row3_col365, #T_457a2_row3_col691, #T_457a2_row3_col979, #T_457a2_row3_col1043, #T_457a2_row3_col1063, #T_457a2_row3_col1079, #T_457a2_row3_col1165, #T_457a2_row4_col12, #T_457a2_row4_col103, #T_457a2_row4_col732, #T_457a2_row4_col823, #T_457a2_row5_col504, #T_457a2_row5_col505, #T_457a2_row5_col1260, #T_457a2_row6_col153, #T_457a2_row6_col873, #T_457a2_row6_col1321, #T_457a2_row7_col43, #T_457a2_row7_col173, #T_457a2_row7_col310, #T_457a2_row7_col355, #T_457a2_row7_col384, #T_457a2_row7_col563, #T_457a2_row7_col627, #T_457a2_row7_col763, #T_457a2_row7_col1075, #T_457a2_row7_col1109, #T_457a2_row7_col1134, #T_457a2_row7_col1371, #T_457a2_row7_col1393, #T_457a2_row7_col1437, #T_457a2_row8_col1211, #T_457a2_row8_col1232, #T_457a2_row8_col1412, #T_457a2_row9_col174, #T_457a2_row9_col359, #T_457a2_row9_col894, #T_457a2_row10_col974, #T_457a2_row11_col75, #T_457a2_row11_col192, #T_457a2_row11_col795, #T_457a2_row11_col912, #T_457a2_row12_col378, #T_457a2_row12_col695, #T_457a2_row12_col703, #T_457a2_row13_col6, #T_457a2_row13_col8, #T_457a2_row13_col46, #T_457a2_row13_col510, #T_457a2_row13_col581, #T_457a2_row13_col766, #T_457a2_row13_col1388, #T_457a2_row15_col235, #T_457a2_row15_col329, #T_457a2_row15_col491, #T_457a2_row15_col570, #T_457a2_row15_col955, #T_457a2_row15_col1049, #T_457a2_row15_col1330, #T_457a2_row16_col58, #T_457a2_row16_col778, #T_457a2_row17_col175, #T_457a2_row17_col183, #T_457a2_row17_col720, #T_457a2_row17_col895, #T_457a2_row17_col903, #T_457a2_row17_col1031, #T_457a2_row18_col1424, #T_457a2_row19_col102, #T_457a2_row19_col610, #T_457a2_row19_col822, #T_457a2_row19_col1104, #T_457a2_row19_col1292, #T_457a2_row20_col665, #T_457a2_row20_col896, #T_457a2_row20_col1036, #T_457a2_row20_col1405, #T_457a2_row21_col34, #T_457a2_row21_col754, #T_457a2_row21_col1245, #T_457a2_row24_col80, #T_457a2_row24_col800 {\n",
       "  background-color: #046198;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col282, #T_457a2_row0_col334, #T_457a2_row0_col474, #T_457a2_row0_col809, #T_457a2_row0_col1002, #T_457a2_row0_col1054, #T_457a2_row1_col61, #T_457a2_row1_col300, #T_457a2_row1_col640, #T_457a2_row1_col1020, #T_457a2_row1_col1339, #T_457a2_row2_col237, #T_457a2_row2_col255, #T_457a2_row2_col417, #T_457a2_row2_col523, #T_457a2_row2_col894, #T_457a2_row2_col957, #T_457a2_row2_col964, #T_457a2_row2_col975, #T_457a2_row2_col1422, #T_457a2_row3_col49, #T_457a2_row3_col68, #T_457a2_row3_col375, #T_457a2_row3_col509, #T_457a2_row3_col788, #T_457a2_row3_col925, #T_457a2_row3_col1139, #T_457a2_row3_col1162, #T_457a2_row3_col1167, #T_457a2_row3_col1180, #T_457a2_row3_col1209, #T_457a2_row3_col1322, #T_457a2_row4_col420, #T_457a2_row4_col424, #T_457a2_row4_col1387, #T_457a2_row6_col591, #T_457a2_row6_col1076, #T_457a2_row6_col1189, #T_457a2_row7_col143, #T_457a2_row7_col339, #T_457a2_row7_col446, #T_457a2_row7_col659, #T_457a2_row7_col660, #T_457a2_row7_col713, #T_457a2_row7_col863, #T_457a2_row7_col1085, #T_457a2_row7_col1195, #T_457a2_row7_col1244, #T_457a2_row7_col1399, #T_457a2_row9_col80, #T_457a2_row9_col244, #T_457a2_row9_col330, #T_457a2_row9_col455, #T_457a2_row9_col800, #T_457a2_row9_col964, #T_457a2_row9_col1050, #T_457a2_row9_col1152, #T_457a2_row9_col1376, #T_457a2_row9_col1412, #T_457a2_row10_col990, #T_457a2_row11_col30, #T_457a2_row11_col85, #T_457a2_row11_col750, #T_457a2_row11_col753, #T_457a2_row11_col805, #T_457a2_row12_col264, #T_457a2_row12_col429, #T_457a2_row12_col984, #T_457a2_row12_col1100, #T_457a2_row12_col1231, #T_457a2_row12_col1364, #T_457a2_row12_col1377, #T_457a2_row13_col119, #T_457a2_row13_col157, #T_457a2_row13_col730, #T_457a2_row13_col839, #T_457a2_row14_col1177, #T_457a2_row14_col1307, #T_457a2_row14_col1329, #T_457a2_row14_col1375, #T_457a2_row15_col82, #T_457a2_row15_col143, #T_457a2_row15_col283, #T_457a2_row15_col618, #T_457a2_row15_col620, #T_457a2_row15_col802, #T_457a2_row15_col863, #T_457a2_row15_col1003, #T_457a2_row16_col86, #T_457a2_row16_col285, #T_457a2_row16_col536, #T_457a2_row16_col806, #T_457a2_row16_col1131, #T_457a2_row17_col545, #T_457a2_row17_col674, #T_457a2_row17_col713, #T_457a2_row17_col969, #T_457a2_row17_col1022, #T_457a2_row17_col1247, #T_457a2_row18_col1099, #T_457a2_row18_col1132, #T_457a2_row18_col1157, #T_457a2_row18_col1332, #T_457a2_row18_col1399, #T_457a2_row19_col1135, #T_457a2_row19_col1139, #T_457a2_row19_col1184, #T_457a2_row20_col128, #T_457a2_row20_col336, #T_457a2_row20_col371, #T_457a2_row20_col445, #T_457a2_row20_col848, #T_457a2_row20_col1056, #T_457a2_row20_col1150, #T_457a2_row20_col1157, #T_457a2_row20_col1289, #T_457a2_row20_col1326, #T_457a2_row21_col321, #T_457a2_row21_col332, #T_457a2_row21_col414, #T_457a2_row21_col1041, #T_457a2_row21_col1052, #T_457a2_row21_col1404, #T_457a2_row23_col510, #T_457a2_row23_col1376, #T_457a2_row24_col188, #T_457a2_row24_col908 {\n",
       "  background-color: #1b7eb7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
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       "  background-color: #89b1d4;\n",
       "  color: #000000;\n",
       "}\n",
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       "  background-color: #c4cbe3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col301, #T_457a2_row0_col525, #T_457a2_row0_col1021, #T_457a2_row1_col191, #T_457a2_row1_col195, #T_457a2_row1_col324, #T_457a2_row1_col911, #T_457a2_row1_col915, #T_457a2_row1_col1044, #T_457a2_row2_col125, #T_457a2_row2_col199, #T_457a2_row2_col225, #T_457a2_row2_col278, #T_457a2_row2_col427, #T_457a2_row2_col570, #T_457a2_row2_col661, #T_457a2_row2_col845, #T_457a2_row2_col887, #T_457a2_row2_col998, #T_457a2_row2_col1246, #T_457a2_row3_col1210, #T_457a2_row4_col89, #T_457a2_row4_col306, #T_457a2_row4_col683, #T_457a2_row4_col809, #T_457a2_row4_col821, #T_457a2_row4_col880, #T_457a2_row4_col1026, #T_457a2_row4_col1204, #T_457a2_row4_col1359, #T_457a2_row5_col282, #T_457a2_row5_col344, #T_457a2_row5_col449, #T_457a2_row5_col469, #T_457a2_row5_col813, #T_457a2_row5_col1002, #T_457a2_row5_col1064, #T_457a2_row6_col227, #T_457a2_row6_col267, #T_457a2_row6_col449, #T_457a2_row6_col695, #T_457a2_row6_col947, #T_457a2_row6_col987, #T_457a2_row6_col1248, #T_457a2_row6_col1271, #T_457a2_row7_col2, #T_457a2_row7_col305, #T_457a2_row7_col689, #T_457a2_row7_col1025, #T_457a2_row8_col83, #T_457a2_row8_col168, #T_457a2_row8_col322, #T_457a2_row8_col495, #T_457a2_row8_col803, #T_457a2_row8_col1042, #T_457a2_row9_col702, #T_457a2_row9_col887, #T_457a2_row9_col1264, #T_457a2_row9_col1292, #T_457a2_row10_col404, #T_457a2_row10_col700, #T_457a2_row10_col987, #T_457a2_row11_col113, #T_457a2_row11_col439, #T_457a2_row11_col542, #T_457a2_row11_col611, #T_457a2_row11_col1147, #T_457a2_row12_col57, #T_457a2_row12_col777, #T_457a2_row13_col33, #T_457a2_row13_col194, #T_457a2_row13_col753, #T_457a2_row13_col914, #T_457a2_row14_col27, #T_457a2_row14_col146, #T_457a2_row14_col173, #T_457a2_row14_col296, #T_457a2_row14_col366, #T_457a2_row14_col393, #T_457a2_row14_col412, #T_457a2_row14_col565, #T_457a2_row14_col717, #T_457a2_row14_col893, #T_457a2_row14_col1016, #T_457a2_row15_col467, #T_457a2_row16_col217, #T_457a2_row16_col583, #T_457a2_row16_col674, #T_457a2_row16_col993, #T_457a2_row16_col1033, #T_457a2_row16_col1254, #T_457a2_row16_col1270, #T_457a2_row16_col1434, #T_457a2_row17_col547, #T_457a2_row17_col696, #T_457a2_row18_col194, #T_457a2_row18_col301, #T_457a2_row18_col438, #T_457a2_row19_col242, #T_457a2_row19_col272, #T_457a2_row19_col992, #T_457a2_row20_col145, #T_457a2_row21_col136, #T_457a2_row21_col139, #T_457a2_row21_col309, #T_457a2_row21_col337, #T_457a2_row21_col548, #T_457a2_row21_col560, #T_457a2_row21_col856, #T_457a2_row21_col859, #T_457a2_row21_col927, #T_457a2_row21_col1057, #T_457a2_row21_col1378, #T_457a2_row22_col229, #T_457a2_row22_col396, #T_457a2_row22_col878, #T_457a2_row22_col949, #T_457a2_row22_col1291, #T_457a2_row22_col1412, #T_457a2_row23_col86, #T_457a2_row23_col107, #T_457a2_row23_col180, #T_457a2_row23_col338, #T_457a2_row23_col537, #T_457a2_row23_col681, #T_457a2_row23_col806, #T_457a2_row23_col900, #T_457a2_row23_col1058, #T_457a2_row24_col113, #T_457a2_row24_col604, #T_457a2_row24_col682, #T_457a2_row24_col963, #T_457a2_row24_col1143, #T_457a2_row24_col1307, #T_457a2_row24_col1414 {\n",
       "  background-color: #e4e1ef;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col302, #T_457a2_row0_col797, #T_457a2_row0_col1022, #T_457a2_row1_col56, #T_457a2_row1_col121, #T_457a2_row1_col190, #T_457a2_row1_col285, #T_457a2_row1_col322, #T_457a2_row1_col357, #T_457a2_row1_col776, #T_457a2_row1_col841, #T_457a2_row1_col1042, #T_457a2_row1_col1077, #T_457a2_row2_col73, #T_457a2_row2_col219, #T_457a2_row2_col297, #T_457a2_row2_col411, #T_457a2_row2_col939, #T_457a2_row3_col562, #T_457a2_row3_col1203, #T_457a2_row3_col1256, #T_457a2_row3_col1438, #T_457a2_row4_col1089, #T_457a2_row4_col1090, #T_457a2_row4_col1103, #T_457a2_row4_col1176, #T_457a2_row5_col128, #T_457a2_row5_col225, #T_457a2_row5_col294, #T_457a2_row5_col304, #T_457a2_row5_col385, #T_457a2_row5_col451, #T_457a2_row5_col619, #T_457a2_row5_col781, #T_457a2_row5_col1014, #T_457a2_row5_col1024, #T_457a2_row6_col50, #T_457a2_row6_col770, #T_457a2_row6_col1182, #T_457a2_row6_col1247, #T_457a2_row7_col257, #T_457a2_row7_col482, #T_457a2_row7_col977, #T_457a2_row8_col284, #T_457a2_row8_col612, #T_457a2_row8_col1004, #T_457a2_row8_col1080, #T_457a2_row8_col1274, #T_457a2_row9_col26, #T_457a2_row9_col122, #T_457a2_row9_col344, #T_457a2_row9_col357, #T_457a2_row9_col427, #T_457a2_row9_col554, #T_457a2_row9_col746, #T_457a2_row9_col842, #T_457a2_row9_col1013, #T_457a2_row9_col1077, #T_457a2_row9_col1279, #T_457a2_row10_col231, #T_457a2_row10_col518, #T_457a2_row10_col563, #T_457a2_row10_col689, #T_457a2_row10_col749, #T_457a2_row10_col1097, #T_457a2_row10_col1158, #T_457a2_row10_col1177, #T_457a2_row10_col1353, #T_457a2_row11_col156, #T_457a2_row11_col300, #T_457a2_row11_col521, #T_457a2_row11_col530, #T_457a2_row11_col583, #T_457a2_row11_col640, #T_457a2_row11_col720, #T_457a2_row11_col876, #T_457a2_row11_col1020, #T_457a2_row11_col1141, #T_457a2_row11_col1191, #T_457a2_row11_col1288, #T_457a2_row11_col1352, #T_457a2_row12_col266, #T_457a2_row12_col684, #T_457a2_row12_col785, #T_457a2_row12_col901, #T_457a2_row12_col986, #T_457a2_row12_col1250, #T_457a2_row13_col1132, #T_457a2_row13_col1143, #T_457a2_row13_col1285, #T_457a2_row13_col1377, #T_457a2_row14_col93, #T_457a2_row14_col96, #T_457a2_row14_col97, #T_457a2_row14_col342, #T_457a2_row14_col435, #T_457a2_row14_col437, #T_457a2_row14_col509, #T_457a2_row14_col608, #T_457a2_row14_col678, #T_457a2_row14_col813, #T_457a2_row14_col816, #T_457a2_row14_col817, #T_457a2_row15_col213, #T_457a2_row15_col396, #T_457a2_row15_col557, #T_457a2_row15_col772, #T_457a2_row15_col933, #T_457a2_row16_col22, #T_457a2_row16_col319, #T_457a2_row16_col613, #T_457a2_row16_col759, #T_457a2_row16_col1039, #T_457a2_row16_col1142, #T_457a2_row16_col1421, #T_457a2_row17_col215, #T_457a2_row17_col491, #T_457a2_row17_col561, #T_457a2_row17_col600, #T_457a2_row17_col675, #T_457a2_row17_col1442, #T_457a2_row18_col36, #T_457a2_row18_col64, #T_457a2_row18_col274, #T_457a2_row18_col287, #T_457a2_row18_col290, #T_457a2_row18_col410, #T_457a2_row18_col756, #T_457a2_row18_col864, #T_457a2_row18_col878, #T_457a2_row18_col994, #T_457a2_row18_col1007, #T_457a2_row18_col1010, #T_457a2_row18_col1163, #T_457a2_row19_col124, #T_457a2_row19_col292, #T_457a2_row19_col462, #T_457a2_row19_col549, #T_457a2_row19_col615, #T_457a2_row19_col844, #T_457a2_row19_col929, #T_457a2_row19_col1012, #T_457a2_row19_col1245, #T_457a2_row20_col56, #T_457a2_row20_col98, #T_457a2_row20_col390, #T_457a2_row20_col426, #T_457a2_row20_col550, #T_457a2_row20_col591, #T_457a2_row20_col776, #T_457a2_row20_col818, #T_457a2_row20_col922, #T_457a2_row20_col979, #T_457a2_row20_col1058, #T_457a2_row20_col1111, #T_457a2_row20_col1283, #T_457a2_row20_col1442, #T_457a2_row21_col82, #T_457a2_row21_col122, #T_457a2_row21_col503, #T_457a2_row21_col603, #T_457a2_row21_col669, #T_457a2_row21_col802, #T_457a2_row21_col842, #T_457a2_row21_col1237, #T_457a2_row22_col59, #T_457a2_row22_col377, #T_457a2_row22_col503, #T_457a2_row22_col608, #T_457a2_row22_col611, #T_457a2_row22_col779, #T_457a2_row22_col1026, #T_457a2_row22_col1296, #T_457a2_row23_col412, #T_457a2_row23_col534, #T_457a2_row23_col565, #T_457a2_row23_col594, #T_457a2_row23_col969, #T_457a2_row23_col1100, #T_457a2_row23_col1180, #T_457a2_row23_col1252, #T_457a2_row24_col21, #T_457a2_row24_col65, #T_457a2_row24_col198, #T_457a2_row24_col315, #T_457a2_row24_col329, #T_457a2_row24_col356, #T_457a2_row24_col367, #T_457a2_row24_col368, #T_457a2_row24_col377, #T_457a2_row24_col490, #T_457a2_row24_col561, #T_457a2_row24_col741, #T_457a2_row24_col785, #T_457a2_row24_col1049, #T_457a2_row24_col1084, #T_457a2_row24_col1114, #T_457a2_row24_col1230, #T_457a2_row24_col1306, #T_457a2_row24_col1342 {\n",
       "  background-color: #b5c4df;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col305, #T_457a2_row0_col1025, #T_457a2_row1_col947, #T_457a2_row2_col112, #T_457a2_row2_col170, #T_457a2_row2_col890, #T_457a2_row2_col1418, #T_457a2_row3_col886, #T_457a2_row3_col986, #T_457a2_row4_col1408, #T_457a2_row5_col30, #T_457a2_row5_col219, #T_457a2_row5_col262, #T_457a2_row5_col263, #T_457a2_row5_col323, #T_457a2_row5_col428, #T_457a2_row5_col601, #T_457a2_row5_col719, #T_457a2_row5_col750, #T_457a2_row5_col939, #T_457a2_row5_col983, #T_457a2_row5_col1043, #T_457a2_row6_col310, #T_457a2_row6_col422, #T_457a2_row6_col619, #T_457a2_row6_col648, #T_457a2_row6_col894, #T_457a2_row6_col1030, #T_457a2_row6_col1293, #T_457a2_row7_col199, #T_457a2_row7_col919, #T_457a2_row7_col1172, #T_457a2_row7_col1327, #T_457a2_row8_col350, #T_457a2_row8_col689, #T_457a2_row8_col850, #T_457a2_row8_col1070, #T_457a2_row9_col523, #T_457a2_row9_col1185, #T_457a2_row9_col1210, #T_457a2_row9_col1288, #T_457a2_row10_col36, #T_457a2_row10_col83, #T_457a2_row10_col331, #T_457a2_row10_col435, #T_457a2_row10_col536, #T_457a2_row10_col544, #T_457a2_row10_col607, #T_457a2_row10_col756, #T_457a2_row10_col803, #T_457a2_row10_col1051, #T_457a2_row10_col1332, #T_457a2_row11_col105, #T_457a2_row11_col217, #T_457a2_row11_col426, #T_457a2_row11_col496, #T_457a2_row11_col835, #T_457a2_row11_col1416, #T_457a2_row12_col757, #T_457a2_row12_col1260, #T_457a2_row14_col218, #T_457a2_row14_col317, #T_457a2_row14_col483, #T_457a2_row14_col691, #T_457a2_row14_col938, #T_457a2_row14_col1037, #T_457a2_row16_col19, #T_457a2_row16_col212, #T_457a2_row16_col406, #T_457a2_row16_col654, #T_457a2_row16_col1101, #T_457a2_row16_col1248, #T_457a2_row16_col1360, #T_457a2_row17_col466, #T_457a2_row17_col553, #T_457a2_row17_col683, #T_457a2_row18_col161, #T_457a2_row18_col207, #T_457a2_row18_col915, #T_457a2_row19_col14, #T_457a2_row19_col28, #T_457a2_row19_col658, #T_457a2_row19_col734, #T_457a2_row19_col748, #T_457a2_row21_col551, #T_457a2_row21_col580, #T_457a2_row21_col702, #T_457a2_row21_col1021, #T_457a2_row21_col1163, #T_457a2_row21_col1173, #T_457a2_row21_col1377, #T_457a2_row22_col29, #T_457a2_row22_col37, #T_457a2_row22_col94, #T_457a2_row22_col209, #T_457a2_row22_col261, #T_457a2_row22_col694, #T_457a2_row22_col713, #T_457a2_row22_col749, #T_457a2_row22_col929, #T_457a2_row22_col981, #T_457a2_row23_col380, #T_457a2_row24_col48, #T_457a2_row24_col687, #T_457a2_row24_col768, #T_457a2_row24_col1063, #T_457a2_row24_col1160 {\n",
       "  background-color: #e2dfee;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col312, #T_457a2_row0_col358, #T_457a2_row0_col399, #T_457a2_row0_col432, #T_457a2_row0_col446, #T_457a2_row0_col669, #T_457a2_row0_col1078, #T_457a2_row0_col1362, #T_457a2_row0_col1374, #T_457a2_row1_col95, #T_457a2_row1_col164, #T_457a2_row1_col248, #T_457a2_row1_col665, #T_457a2_row1_col711, #T_457a2_row1_col815, #T_457a2_row1_col968, #T_457a2_row1_col1285, #T_457a2_row1_col1400, #T_457a2_row2_col61, #T_457a2_row2_col84, #T_457a2_row2_col434, #T_457a2_row2_col715, #T_457a2_row2_col804, #T_457a2_row2_col896, #T_457a2_row2_col1245, #T_457a2_row2_col1265, #T_457a2_row2_col1341, #T_457a2_row2_col1387, #T_457a2_row2_col1438, #T_457a2_row3_col22, #T_457a2_row3_col238, #T_457a2_row3_col368, #T_457a2_row3_col659, #T_457a2_row3_col698, #T_457a2_row3_col958, #T_457a2_row3_col1309, #T_457a2_row3_col1389, #T_457a2_row4_col44, #T_457a2_row4_col195, #T_457a2_row4_col272, #T_457a2_row4_col469, #T_457a2_row4_col764, #T_457a2_row4_col915, #T_457a2_row4_col992, #T_457a2_row4_col1078, #T_457a2_row4_col1277, #T_457a2_row5_col81, #T_457a2_row5_col175, #T_457a2_row5_col214, #T_457a2_row5_col369, #T_457a2_row5_col934, #T_457a2_row5_col1091, #T_457a2_row5_col1132, #T_457a2_row5_col1307, #T_457a2_row5_col1426, #T_457a2_row6_col235, #T_457a2_row6_col955, #T_457a2_row6_col969, #T_457a2_row6_col1195, #T_457a2_row6_col1308, #T_457a2_row7_col166, #T_457a2_row7_col241, #T_457a2_row7_col376, #T_457a2_row7_col424, #T_457a2_row7_col592, #T_457a2_row7_col886, #T_457a2_row7_col1158, #T_457a2_row7_col1328, #T_457a2_row8_col231, #T_457a2_row8_col691, #T_457a2_row8_col951, #T_457a2_row8_col1122, #T_457a2_row8_col1172, #T_457a2_row8_col1258, #T_457a2_row8_col1259, #T_457a2_row9_col4, #T_457a2_row9_col6, #T_457a2_row9_col429, #T_457a2_row9_col696, #T_457a2_row9_col724, #T_457a2_row9_col1101, #T_457a2_row9_col1234, #T_457a2_row9_col1441, #T_457a2_row10_col269, #T_457a2_row10_col489, #T_457a2_row10_col1045, #T_457a2_row10_col1149, #T_457a2_row11_col79, #T_457a2_row11_col118, #T_457a2_row11_col709, #T_457a2_row11_col1097, #T_457a2_row12_col38, #T_457a2_row12_col77, #T_457a2_row12_col388, #T_457a2_row12_col394, #T_457a2_row12_col470, #T_457a2_row12_col595, #T_457a2_row12_col797, #T_457a2_row12_col1087, #T_457a2_row12_col1302, #T_457a2_row12_col1358, #T_457a2_row13_col151, #T_457a2_row13_col299, #T_457a2_row13_col572, #T_457a2_row13_col871, #T_457a2_row13_col1019, #T_457a2_row13_col1426, #T_457a2_row13_col1437, #T_457a2_row13_col1441, #T_457a2_row14_col391, #T_457a2_row14_col461, #T_457a2_row14_col1274, #T_457a2_row15_col54, #T_457a2_row15_col373, #T_457a2_row15_col1255, #T_457a2_row16_col1359, #T_457a2_row17_col45, #T_457a2_row17_col371, #T_457a2_row17_col483, #T_457a2_row17_col707, #T_457a2_row17_col765, #T_457a2_row17_col1202, #T_457a2_row17_col1393, #T_457a2_row18_col238, #T_457a2_row18_col578, #T_457a2_row18_col958, #T_457a2_row19_col84, #T_457a2_row19_col86, #T_457a2_row19_col93, #T_457a2_row19_col141, #T_457a2_row19_col169, #T_457a2_row19_col182, #T_457a2_row19_col405, #T_457a2_row19_col575, #T_457a2_row19_col641, #T_457a2_row19_col804, #T_457a2_row19_col806, #T_457a2_row19_col813, #T_457a2_row19_col861, #T_457a2_row19_col889, #T_457a2_row19_col902, #T_457a2_row19_col1106, #T_457a2_row19_col1187, #T_457a2_row19_col1218, #T_457a2_row19_col1343, #T_457a2_row19_col1347, #T_457a2_row19_col1397, #T_457a2_row20_col245, #T_457a2_row20_col285, #T_457a2_row20_col327, #T_457a2_row20_col849, #T_457a2_row20_col965, #T_457a2_row20_col1005, #T_457a2_row20_col1047, #T_457a2_row20_col1088, #T_457a2_row20_col1227, #T_457a2_row20_col1338, #T_457a2_row20_col1440, #T_457a2_row21_col432, #T_457a2_row21_col910, #T_457a2_row21_col1284, #T_457a2_row21_col1314, #T_457a2_row21_col1403, #T_457a2_row22_col57, #T_457a2_row22_col161, #T_457a2_row22_col355, #T_457a2_row22_col443, #T_457a2_row22_col777, #T_457a2_row22_col871, #T_457a2_row22_col1075, #T_457a2_row22_col1273, #T_457a2_row23_col206, #T_457a2_row23_col314, #T_457a2_row23_col370, #T_457a2_row23_col1034, #T_457a2_row23_col1159, #T_457a2_row23_col1276, #T_457a2_row23_col1306, #T_457a2_row24_col274, #T_457a2_row24_col429, #T_457a2_row24_col994, #T_457a2_row24_col1132, #T_457a2_row24_col1204 {\n",
       "  background-color: #589ec8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col323, #T_457a2_row0_col384, #T_457a2_row0_col477, #T_457a2_row0_col1043, #T_457a2_row0_col1084, #T_457a2_row0_col1107, #T_457a2_row0_col1146, #T_457a2_row0_col1298, #T_457a2_row1_col68, #T_457a2_row1_col236, #T_457a2_row1_col500, #T_457a2_row1_col621, #T_457a2_row1_col688, #T_457a2_row1_col936, #T_457a2_row1_col956, #T_457a2_row1_col1239, #T_457a2_row2_col53, #T_457a2_row2_col229, #T_457a2_row2_col272, #T_457a2_row2_col405, #T_457a2_row2_col416, #T_457a2_row2_col459, #T_457a2_row2_col711, #T_457a2_row2_col773, #T_457a2_row2_col949, #T_457a2_row2_col992, #T_457a2_row2_col1138, #T_457a2_row2_col1326, #T_457a2_row3_col224, #T_457a2_row3_col498, #T_457a2_row3_col499, #T_457a2_row3_col506, #T_457a2_row3_col707, #T_457a2_row3_col944, #T_457a2_row3_col1279, #T_457a2_row3_col1388, #T_457a2_row4_col1109, #T_457a2_row4_col1210, #T_457a2_row5_col66, #T_457a2_row5_col852, #T_457a2_row6_col359, #T_457a2_row6_col464, #T_457a2_row6_col509, #T_457a2_row6_col829, #T_457a2_row6_col937, #T_457a2_row6_col1125, #T_457a2_row6_col1134, #T_457a2_row6_col1136, #T_457a2_row7_col1173, #T_457a2_row7_col1185, #T_457a2_row7_col1345, #T_457a2_row8_col71, #T_457a2_row8_col139, #T_457a2_row8_col275, #T_457a2_row8_col498, #T_457a2_row8_col569, #T_457a2_row8_col611, #T_457a2_row8_col791, #T_457a2_row8_col859, #T_457a2_row8_col995, #T_457a2_row9_col246, #T_457a2_row9_col1104, #T_457a2_row9_col1110, #T_457a2_row9_col1230, #T_457a2_row9_col1328, #T_457a2_row10_col323, #T_457a2_row10_col433, #T_457a2_row10_col509, #T_457a2_row10_col1144, #T_457a2_row10_col1318, #T_457a2_row10_col1393, #T_457a2_row11_col170, #T_457a2_row11_col233, #T_457a2_row11_col890, #T_457a2_row11_col1280, #T_457a2_row12_col195, #T_457a2_row12_col218, #T_457a2_row12_col252, #T_457a2_row12_col267, #T_457a2_row12_col466, #T_457a2_row12_col673, #T_457a2_row12_col915, #T_457a2_row12_col938, #T_457a2_row12_col972, #T_457a2_row12_col987, #T_457a2_row12_col1170, #T_457a2_row13_col281, #T_457a2_row13_col392, #T_457a2_row13_col515, #T_457a2_row13_col1001, #T_457a2_row13_col1284, #T_457a2_row13_col1336, #T_457a2_row14_col481, #T_457a2_row14_col555, #T_457a2_row14_col626, #T_457a2_row14_col693, #T_457a2_row14_col1282, #T_457a2_row14_col1410, #T_457a2_row15_col604, #T_457a2_row15_col914, #T_457a2_row16_col564, #T_457a2_row16_col730, #T_457a2_row16_col1129, #T_457a2_row17_col188, #T_457a2_row17_col598, #T_457a2_row17_col718, #T_457a2_row17_col908, #T_457a2_row17_col1406, #T_457a2_row18_col95, #T_457a2_row18_col208, #T_457a2_row18_col254, #T_457a2_row18_col273, #T_457a2_row18_col412, #T_457a2_row18_col462, #T_457a2_row18_col477, #T_457a2_row18_col574, #T_457a2_row18_col595, #T_457a2_row18_col684, #T_457a2_row18_col815, #T_457a2_row18_col883, #T_457a2_row18_col928, #T_457a2_row18_col974, #T_457a2_row18_col993, #T_457a2_row18_col1155, #T_457a2_row18_col1156, #T_457a2_row18_col1166, #T_457a2_row18_col1294, #T_457a2_row18_col1358, #T_457a2_row18_col1410, #T_457a2_row19_col310, #T_457a2_row19_col437, #T_457a2_row19_col526, #T_457a2_row19_col577, #T_457a2_row19_col644, #T_457a2_row20_col130, #T_457a2_row20_col139, #T_457a2_row20_col548, #T_457a2_row20_col850, #T_457a2_row20_col859, #T_457a2_row20_col1258, #T_457a2_row20_col1346, #T_457a2_row20_col1388, #T_457a2_row20_col1414, #T_457a2_row20_col1428, #T_457a2_row21_col42, #T_457a2_row21_col137, #T_457a2_row21_col159, #T_457a2_row21_col627, #T_457a2_row21_col857, #T_457a2_row21_col1122, #T_457a2_row21_col1181, #T_457a2_row21_col1328, #T_457a2_row21_col1401, #T_457a2_row22_col93, #T_457a2_row22_col191, #T_457a2_row22_col252, #T_457a2_row22_col325, #T_457a2_row22_col712, #T_457a2_row22_col813, #T_457a2_row22_col911, #T_457a2_row22_col972, #T_457a2_row22_col1045, #T_457a2_row22_col1263, #T_457a2_row23_col110, #T_457a2_row23_col235, #T_457a2_row23_col309, #T_457a2_row23_col324, #T_457a2_row23_col363, #T_457a2_row23_col955, #T_457a2_row23_col1016, #T_457a2_row23_col1029, #T_457a2_row23_col1044, #T_457a2_row23_col1163, #T_457a2_row23_col1174, #T_457a2_row23_col1341, #T_457a2_row24_col59, #T_457a2_row24_col90, #T_457a2_row24_col385, #T_457a2_row24_col846, #T_457a2_row24_col1252 {\n",
       "  background-color: #91b5d6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col324, #T_457a2_row0_col1044, #T_457a2_row1_col63, #T_457a2_row1_col289, #T_457a2_row1_col554, #T_457a2_row1_col783, #T_457a2_row1_col1009, #T_457a2_row2_col136, #T_457a2_row2_col152, #T_457a2_row2_col499, #T_457a2_row2_col856, #T_457a2_row2_col872, #T_457a2_row3_col281, #T_457a2_row3_col591, #T_457a2_row3_col1001, #T_457a2_row4_col2, #T_457a2_row4_col570, #T_457a2_row4_col593, #T_457a2_row4_col1315, #T_457a2_row5_col107, #T_457a2_row5_col445, #T_457a2_row5_col456, #T_457a2_row5_col707, #T_457a2_row5_col827, #T_457a2_row6_col413, #T_457a2_row6_col477, #T_457a2_row6_col552, #T_457a2_row6_col577, #T_457a2_row6_col900, #T_457a2_row6_col1368, #T_457a2_row7_col1442, #T_457a2_row8_col47, #T_457a2_row8_col320, #T_457a2_row8_col602, #T_457a2_row8_col680, #T_457a2_row8_col684, #T_457a2_row8_col767, #T_457a2_row8_col897, #T_457a2_row8_col1040, #T_457a2_row8_col1090, #T_457a2_row9_col5, #T_457a2_row9_col169, #T_457a2_row9_col530, #T_457a2_row9_col596, #T_457a2_row9_col725, #T_457a2_row9_col889, #T_457a2_row9_col1086, #T_457a2_row10_col567, #T_457a2_row10_col799, #T_457a2_row10_col1032, #T_457a2_row10_col1148, #T_457a2_row11_col563, #T_457a2_row11_col576, #T_457a2_row11_col1186, #T_457a2_row11_col1216, #T_457a2_row11_col1240, #T_457a2_row11_col1257, #T_457a2_row11_col1286, #T_457a2_row11_col1310, #T_457a2_row12_col11, #T_457a2_row12_col397, #T_457a2_row12_col718, #T_457a2_row12_col731, #T_457a2_row13_col102, #T_457a2_row13_col822, #T_457a2_row13_col1151, #T_457a2_row13_col1311, #T_457a2_row13_col1381, #T_457a2_row14_col219, #T_457a2_row14_col242, #T_457a2_row14_col262, #T_457a2_row14_col343, #T_457a2_row14_col372, #T_457a2_row14_col419, #T_457a2_row14_col422, #T_457a2_row14_col660, #T_457a2_row14_col939, #T_457a2_row14_col957, #T_457a2_row14_col1063, #T_457a2_row14_col1261, #T_457a2_row15_col13, #T_457a2_row15_col655, #T_457a2_row15_col733, #T_457a2_row16_col31, #T_457a2_row16_col203, #T_457a2_row16_col629, #T_457a2_row16_col923, #T_457a2_row16_col1152, #T_457a2_row16_col1183, #T_457a2_row16_col1442, #T_457a2_row17_col981, #T_457a2_row17_col1149, #T_457a2_row18_col35, #T_457a2_row18_col85, #T_457a2_row18_col286, #T_457a2_row18_col476, #T_457a2_row18_col484, #T_457a2_row18_col607, #T_457a2_row18_col743, #T_457a2_row18_col755, #T_457a2_row18_col949, #T_457a2_row18_col1006, #T_457a2_row18_col1363, #T_457a2_row19_col180, #T_457a2_row19_col536, #T_457a2_row19_col900, #T_457a2_row19_col1149, #T_457a2_row20_col114, #T_457a2_row20_col211, #T_457a2_row20_col834, #T_457a2_row20_col931, #T_457a2_row21_col33, #T_457a2_row21_col88, #T_457a2_row21_col160, #T_457a2_row21_col490, #T_457a2_row21_col562, #T_457a2_row21_col753, #T_457a2_row21_col773, #T_457a2_row21_col808, #T_457a2_row21_col880, #T_457a2_row21_col1070, #T_457a2_row22_col338, #T_457a2_row22_col518, #T_457a2_row22_col793, #T_457a2_row22_col1058, #T_457a2_row22_col1092, #T_457a2_row22_col1309, #T_457a2_row22_col1334, #T_457a2_row22_col1358, #T_457a2_row23_col61, #T_457a2_row23_col236, #T_457a2_row23_col277, #T_457a2_row23_col391, #T_457a2_row23_col398, #T_457a2_row23_col581, #T_457a2_row23_col701, #T_457a2_row23_col927, #T_457a2_row23_col997, #T_457a2_row23_col1170, #T_457a2_row23_col1365, #T_457a2_row24_col293, #T_457a2_row24_col474, #T_457a2_row24_col477, #T_457a2_row24_col518, #T_457a2_row24_col531, #T_457a2_row24_col1015, #T_457a2_row24_col1196, #T_457a2_row24_col1271, #T_457a2_row24_col1361 {\n",
       "  background-color: #dfddec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col325, #T_457a2_row0_col591, #T_457a2_row0_col714, #T_457a2_row0_col717, #T_457a2_row0_col1083, #T_457a2_row0_col1142, #T_457a2_row0_col1251, #T_457a2_row1_col327, #T_457a2_row1_col489, #T_457a2_row1_col844, #T_457a2_row1_col1047, #T_457a2_row1_col1262, #T_457a2_row1_col1367, #T_457a2_row2_col172, #T_457a2_row2_col514, #T_457a2_row2_col892, #T_457a2_row2_col936, #T_457a2_row2_col1106, #T_457a2_row3_col340, #T_457a2_row3_col377, #T_457a2_row3_col1195, #T_457a2_row4_col11, #T_457a2_row4_col175, #T_457a2_row4_col731, #T_457a2_row4_col879, #T_457a2_row4_col885, #T_457a2_row4_col895, #T_457a2_row5_col1093, #T_457a2_row6_col67, #T_457a2_row6_col355, #T_457a2_row6_col787, #T_457a2_row6_col1075, #T_457a2_row7_col118, #T_457a2_row7_col666, #T_457a2_row7_col966, #T_457a2_row7_col1137, #T_457a2_row7_col1430, #T_457a2_row8_col410, #T_457a2_row8_col1127, #T_457a2_row8_col1229, #T_457a2_row8_col1251, #T_457a2_row8_col1332, #T_457a2_row9_col234, #T_457a2_row9_col377, #T_457a2_row9_col954, #T_457a2_row9_col1059, #T_457a2_row9_col1146, #T_457a2_row11_col609, #T_457a2_row12_col121, #T_457a2_row12_col841, #T_457a2_row12_col1163, #T_457a2_row12_col1318, #T_457a2_row13_col282, #T_457a2_row13_col327, #T_457a2_row13_col359, #T_457a2_row13_col490, #T_457a2_row13_col570, #T_457a2_row13_col621, #T_457a2_row13_col622, #T_457a2_row13_col772, #T_457a2_row13_col778, #T_457a2_row13_col1002, #T_457a2_row13_col1079, #T_457a2_row13_col1105, #T_457a2_row13_col1106, #T_457a2_row14_col1163, #T_457a2_row14_col1197, #T_457a2_row14_col1333, #T_457a2_row14_col1362, #T_457a2_row15_col450, #T_457a2_row15_col830, #T_457a2_row15_col1237, #T_457a2_row17_col149, #T_457a2_row17_col393, #T_457a2_row17_col520, #T_457a2_row17_col759, #T_457a2_row17_col869, #T_457a2_row17_col1133, #T_457a2_row17_col1231, #T_457a2_row18_col631, #T_457a2_row19_col252, #T_457a2_row19_col396, #T_457a2_row19_col972, #T_457a2_row19_col1355, #T_457a2_row20_col150, #T_457a2_row20_col481, #T_457a2_row20_col582, #T_457a2_row20_col621, #T_457a2_row20_col1179, #T_457a2_row21_col1233, #T_457a2_row21_col1335, #T_457a2_row22_col1248, #T_457a2_row22_col1406, #T_457a2_row24_col204 {\n",
       "  background-color: #0566a0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col328, #T_457a2_row0_col1048, #T_457a2_row2_col327, #T_457a2_row2_col446, #T_457a2_row2_col580, #T_457a2_row2_col1047, #T_457a2_row4_col243, #T_457a2_row4_col981, #T_457a2_row4_col1275, #T_457a2_row5_col293, #T_457a2_row5_col1013, #T_457a2_row6_col180, #T_457a2_row6_col555, #T_457a2_row6_col1297, #T_457a2_row7_col556, #T_457a2_row8_col177, #T_457a2_row8_col209, #T_457a2_row8_col226, #T_457a2_row8_col324, #T_457a2_row8_col377, #T_457a2_row8_col493, #T_457a2_row8_col929, #T_457a2_row8_col946, #T_457a2_row8_col1044, #T_457a2_row9_col59, #T_457a2_row9_col123, #T_457a2_row9_col333, #T_457a2_row9_col779, #T_457a2_row9_col843, #T_457a2_row9_col1053, #T_457a2_row9_col1112, #T_457a2_row9_col1239, #T_457a2_row9_col1267, #T_457a2_row10_col539, #T_457a2_row10_col587, #T_457a2_row10_col722, #T_457a2_row10_col884, #T_457a2_row10_col1334, #T_457a2_row11_col409, #T_457a2_row11_col595, #T_457a2_row11_col599, #T_457a2_row11_col697, #T_457a2_row11_col927, #T_457a2_row11_col1135, #T_457a2_row11_col1305, #T_457a2_row13_col301, #T_457a2_row13_col1094, #T_457a2_row14_col322, #T_457a2_row14_col467, #T_457a2_row14_col488, #T_457a2_row14_col718, #T_457a2_row14_col982, #T_457a2_row16_col12, #T_457a2_row16_col604, #T_457a2_row16_col732, #T_457a2_row16_col751, #T_457a2_row17_col228, #T_457a2_row17_col261, #T_457a2_row17_col293, #T_457a2_row17_col327, #T_457a2_row17_col377, #T_457a2_row17_col487, #T_457a2_row17_col948, #T_457a2_row17_col1013, #T_457a2_row17_col1047, #T_457a2_row18_col23, #T_457a2_row18_col47, #T_457a2_row18_col229, #T_457a2_row18_col421, #T_457a2_row18_col722, #T_457a2_row18_col767, #T_457a2_row18_col805, #T_457a2_row19_col12, #T_457a2_row19_col117, #T_457a2_row19_col284, #T_457a2_row19_col561, #T_457a2_row19_col589, #T_457a2_row19_col732, #T_457a2_row19_col837, #T_457a2_row19_col1004, #T_457a2_row20_col770, #T_457a2_row21_col4, #T_457a2_row21_col53, #T_457a2_row21_col65, #T_457a2_row21_col350, #T_457a2_row21_col354, #T_457a2_row21_col408, #T_457a2_row21_col567, #T_457a2_row21_col617, #T_457a2_row21_col724, #T_457a2_row21_col785, #T_457a2_row21_col1074, #T_457a2_row22_col123, #T_457a2_row22_col301, #T_457a2_row22_col447, #T_457a2_row22_col690, #T_457a2_row22_col843, #T_457a2_row22_col1021, #T_457a2_row22_col1106, #T_457a2_row23_col7, #T_457a2_row23_col84, #T_457a2_row23_col100, #T_457a2_row23_col337, #T_457a2_row23_col344, #T_457a2_row23_col402, #T_457a2_row23_col439, #T_457a2_row23_col498, #T_457a2_row23_col504, #T_457a2_row23_col549, #T_457a2_row23_col651, #T_457a2_row23_col727, #T_457a2_row23_col804, #T_457a2_row23_col1064, #T_457a2_row23_col1131, #T_457a2_row23_col1362, #T_457a2_row24_col370, #T_457a2_row24_col459, #T_457a2_row24_col1121, #T_457a2_row24_col1174, #T_457a2_row24_col1332 {\n",
       "  background-color: #e0dded;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col339, #T_457a2_row1_col253, #T_457a2_row1_col644, #T_457a2_row1_col837, #T_457a2_row1_col973, #T_457a2_row1_col1321, #T_457a2_row2_col458, #T_457a2_row4_col1249, #T_457a2_row4_col1272, #T_457a2_row4_col1300, #T_457a2_row5_col193, #T_457a2_row5_col230, #T_457a2_row5_col397, #T_457a2_row5_col913, #T_457a2_row5_col950, #T_457a2_row8_col80, #T_457a2_row8_col82, #T_457a2_row8_col125, #T_457a2_row8_col293, #T_457a2_row8_col615, #T_457a2_row8_col645, #T_457a2_row8_col737, #T_457a2_row8_col802, #T_457a2_row8_col845, #T_457a2_row8_col923, #T_457a2_row8_col979, #T_457a2_row8_col1013, #T_457a2_row9_col1346, #T_457a2_row10_col246, #T_457a2_row10_col631, #T_457a2_row10_col647, #T_457a2_row10_col868, #T_457a2_row10_col930, #T_457a2_row10_col966, #T_457a2_row11_col211, #T_457a2_row11_col573, #T_457a2_row11_col1104, #T_457a2_row11_col1164, #T_457a2_row11_col1231, #T_457a2_row11_col1272, #T_457a2_row11_col1390, #T_457a2_row12_col250, #T_457a2_row12_col970, #T_457a2_row13_col413, #T_457a2_row14_col104, #T_457a2_row14_col188, #T_457a2_row14_col251, #T_457a2_row14_col508, #T_457a2_row14_col537, #T_457a2_row14_col559, #T_457a2_row14_col698, #T_457a2_row14_col824, #T_457a2_row14_col908, #T_457a2_row14_col971, #T_457a2_row15_col473, #T_457a2_row16_col114, #T_457a2_row16_col354, #T_457a2_row16_col647, #T_457a2_row16_col658, #T_457a2_row16_col1340, #T_457a2_row16_col1352, #T_457a2_row17_col6, #T_457a2_row17_col468, #T_457a2_row18_col6, #T_457a2_row18_col374, #T_457a2_row18_col411, #T_457a2_row18_col641, #T_457a2_row18_col980, #T_457a2_row18_col1022, #T_457a2_row19_col469, #T_457a2_row19_col681, #T_457a2_row20_col545, #T_457a2_row21_col30, #T_457a2_row21_col87, #T_457a2_row21_col99, #T_457a2_row21_col445, #T_457a2_row21_col689, #T_457a2_row21_col750, #T_457a2_row21_col807, #T_457a2_row21_col819, #T_457a2_row21_col894, #T_457a2_row22_col172, #T_457a2_row22_col442, #T_457a2_row22_col523, #T_457a2_row22_col892, #T_457a2_row22_col1162, #T_457a2_row22_col1249, #T_457a2_row23_col27, #T_457a2_row23_col213, #T_457a2_row23_col441, #T_457a2_row23_col933, #T_457a2_row23_col1338, #T_457a2_row24_col78, #T_457a2_row24_col115, #T_457a2_row24_col165, #T_457a2_row24_col213, #T_457a2_row24_col448, #T_457a2_row24_col580, #T_457a2_row24_col632, #T_457a2_row24_col798, #T_457a2_row24_col885, #T_457a2_row24_col933, #T_457a2_row24_col1119, #T_457a2_row24_col1264 {\n",
       "  background-color: #ede8f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col342, #T_457a2_row0_col1062, #T_457a2_row0_col1173, #T_457a2_row0_col1419, #T_457a2_row1_col45, #T_457a2_row1_col765, #T_457a2_row1_col847, #T_457a2_row1_col937, #T_457a2_row1_col1071, #T_457a2_row2_col150, #T_457a2_row2_col688, #T_457a2_row2_col870, #T_457a2_row2_col942, #T_457a2_row2_col1191, #T_457a2_row3_col229, #T_457a2_row3_col463, #T_457a2_row3_col949, #T_457a2_row3_col1321, #T_457a2_row4_col549, #T_457a2_row4_col682, #T_457a2_row4_col1131, #T_457a2_row4_col1339, #T_457a2_row4_col1418, #T_457a2_row5_col4, #T_457a2_row5_col70, #T_457a2_row5_col210, #T_457a2_row5_col212, #T_457a2_row5_col338, #T_457a2_row5_col514, #T_457a2_row5_col724, #T_457a2_row5_col733, #T_457a2_row5_col790, #T_457a2_row5_col930, #T_457a2_row5_col932, #T_457a2_row5_col1058, #T_457a2_row6_col38, #T_457a2_row6_col62, #T_457a2_row6_col105, #T_457a2_row6_col151, #T_457a2_row6_col237, #T_457a2_row6_col414, #T_457a2_row6_col782, #T_457a2_row6_col871, #T_457a2_row6_col957, #T_457a2_row6_col1427, #T_457a2_row7_col335, #T_457a2_row7_col1055, #T_457a2_row7_col1144, #T_457a2_row8_col427, #T_457a2_row8_col514, #T_457a2_row8_col560, #T_457a2_row8_col1295, #T_457a2_row9_col39, #T_457a2_row9_col72, #T_457a2_row9_col97, #T_457a2_row9_col369, #T_457a2_row9_col792, #T_457a2_row9_col817, #T_457a2_row9_col1084, #T_457a2_row9_col1092, #T_457a2_row9_col1388, #T_457a2_row10_col319, #T_457a2_row10_col375, #T_457a2_row10_col422, #T_457a2_row10_col555, #T_457a2_row10_col629, #T_457a2_row10_col655, #T_457a2_row10_col697, #T_457a2_row10_col833, #T_457a2_row10_col842, #T_457a2_row10_col1017, #T_457a2_row10_col1039, #T_457a2_row11_col130, #T_457a2_row11_col443, #T_457a2_row11_col513, #T_457a2_row11_col562, #T_457a2_row11_col569, #T_457a2_row11_col679, #T_457a2_row11_col850, #T_457a2_row11_col1351, #T_457a2_row12_col131, #T_457a2_row12_col211, #T_457a2_row12_col1305, #T_457a2_row14_col11, #T_457a2_row14_col138, #T_457a2_row14_col277, #T_457a2_row14_col304, #T_457a2_row14_col378, #T_457a2_row14_col484, #T_457a2_row14_col636, #T_457a2_row14_col643, #T_457a2_row14_col731, #T_457a2_row14_col806, #T_457a2_row14_col858, #T_457a2_row14_col1024, #T_457a2_row14_col1178, #T_457a2_row15_col517, #T_457a2_row15_col1217, #T_457a2_row16_col14, #T_457a2_row16_col416, #T_457a2_row16_col553, #T_457a2_row16_col667, #T_457a2_row16_col734, #T_457a2_row16_col890, #T_457a2_row16_col1433, #T_457a2_row17_col36, #T_457a2_row17_col380, #T_457a2_row17_col423, #T_457a2_row17_col488, #T_457a2_row17_col648, #T_457a2_row18_col324, #T_457a2_row18_col446, #T_457a2_row18_col522, #T_457a2_row18_col1044, #T_457a2_row18_col1113, #T_457a2_row19_col90, #T_457a2_row19_col510, #T_457a2_row19_col562, #T_457a2_row19_col654, #T_457a2_row19_col688, #T_457a2_row20_col23, #T_457a2_row20_col490, #T_457a2_row20_col743, #T_457a2_row20_col930, #T_457a2_row21_col149, #T_457a2_row21_col315, #T_457a2_row21_col341, #T_457a2_row21_col378, #T_457a2_row21_col502, #T_457a2_row21_col621, #T_457a2_row21_col850, #T_457a2_row21_col869, #T_457a2_row21_col1035, #T_457a2_row21_col1373, #T_457a2_row22_col36, #T_457a2_row22_col249, #T_457a2_row22_col416, #T_457a2_row22_col660, #T_457a2_row22_col666, #T_457a2_row22_col852, #T_457a2_row23_col4, #T_457a2_row23_col37, #T_457a2_row23_col368, #T_457a2_row23_col507, #T_457a2_row23_col547, #T_457a2_row23_col699, #T_457a2_row23_col724, #T_457a2_row23_col1048, #T_457a2_row23_col1078, #T_457a2_row23_col1110, #T_457a2_row23_col1179, #T_457a2_row23_col1253, #T_457a2_row23_col1380, #T_457a2_row24_col83, #T_457a2_row24_col653, #T_457a2_row24_col803, #T_457a2_row24_col1425 {\n",
       "  background-color: #d1d2e6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col352, #T_457a2_row0_col480, #T_457a2_row0_col1035, #T_457a2_row0_col1072, #T_457a2_row0_col1089, #T_457a2_row0_col1127, #T_457a2_row1_col875, #T_457a2_row1_col1094, #T_457a2_row1_col1122, #T_457a2_row1_col1275, #T_457a2_row1_col1333, #T_457a2_row2_col386, #T_457a2_row2_col620, #T_457a2_row3_col474, #T_457a2_row3_col1157, #T_457a2_row3_col1313, #T_457a2_row4_col123, #T_457a2_row4_col544, #T_457a2_row4_col650, #T_457a2_row4_col843, #T_457a2_row6_col938, #T_457a2_row7_col139, #T_457a2_row7_col361, #T_457a2_row7_col487, #T_457a2_row7_col541, #T_457a2_row7_col859, #T_457a2_row8_col1424, #T_457a2_row9_col1313, #T_457a2_row12_col501, #T_457a2_row13_col176, #T_457a2_row13_col494, #T_457a2_row13_col896, #T_457a2_row14_col1101, #T_457a2_row14_col1170, #T_457a2_row15_col120, #T_457a2_row15_col840, #T_457a2_row15_col1154, #T_457a2_row16_col364, #T_457a2_row20_col123, #T_457a2_row20_col843, #T_457a2_row21_col280, #T_457a2_row21_col600, #T_457a2_row22_col1163, #T_457a2_row24_col1203 {\n",
       "  background-color: #02395a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col355, #T_457a2_row0_col654, #T_457a2_row0_col1360, #T_457a2_row1_col226, #T_457a2_row1_col251, #T_457a2_row1_col308, #T_457a2_row1_col326, #T_457a2_row1_col361, #T_457a2_row1_col414, #T_457a2_row1_col672, #T_457a2_row1_col971, #T_457a2_row1_col1002, #T_457a2_row1_col1028, #T_457a2_row1_col1046, #T_457a2_row1_col1081, #T_457a2_row2_col29, #T_457a2_row2_col233, #T_457a2_row2_col1317, #T_457a2_row2_col1434, #T_457a2_row3_col333, #T_457a2_row3_col553, #T_457a2_row3_col1053, #T_457a2_row3_col1290, #T_457a2_row4_col47, #T_457a2_row4_col248, #T_457a2_row4_col293, #T_457a2_row4_col416, #T_457a2_row4_col611, #T_457a2_row4_col767, #T_457a2_row4_col1114, #T_457a2_row4_col1201, #T_457a2_row4_col1242, #T_457a2_row4_col1440, #T_457a2_row5_col96, #T_457a2_row5_col535, #T_457a2_row5_col698, #T_457a2_row5_col816, #T_457a2_row5_col853, #T_457a2_row5_col870, #T_457a2_row5_col1230, #T_457a2_row5_col1332, #T_457a2_row5_col1396, #T_457a2_row5_col1433, #T_457a2_row6_col150, #T_457a2_row6_col163, #T_457a2_row6_col469, #T_457a2_row6_col870, #T_457a2_row7_col509, #T_457a2_row7_col1116, #T_457a2_row8_col222, #T_457a2_row8_col637, #T_457a2_row8_col942, #T_457a2_row8_col1189, #T_457a2_row9_col516, #T_457a2_row9_col620, #T_457a2_row9_col888, #T_457a2_row9_col1260, #T_457a2_row10_col169, #T_457a2_row10_col470, #T_457a2_row10_col889, #T_457a2_row10_col1120, #T_457a2_row10_col1160, #T_457a2_row11_col146, #T_457a2_row11_col321, #T_457a2_row11_col357, #T_457a2_row11_col1041, #T_457a2_row11_col1077, #T_457a2_row11_col1095, #T_457a2_row12_col163, #T_457a2_row12_col215, #T_457a2_row12_col414, #T_457a2_row12_col608, #T_457a2_row12_col641, #T_457a2_row12_col897, #T_457a2_row12_col935, #T_457a2_row12_col1128, #T_457a2_row12_col1175, #T_457a2_row13_col211, #T_457a2_row13_col236, #T_457a2_row13_col519, #T_457a2_row13_col931, #T_457a2_row13_col956, #T_457a2_row13_col1293, #T_457a2_row14_col1221, #T_457a2_row15_col75, #T_457a2_row15_col125, #T_457a2_row15_col159, #T_457a2_row15_col431, #T_457a2_row15_col465, #T_457a2_row15_col512, #T_457a2_row15_col661, #T_457a2_row15_col723, #T_457a2_row15_col795, #T_457a2_row15_col845, #T_457a2_row15_col879, #T_457a2_row15_col1372, #T_457a2_row16_col522, #T_457a2_row16_col702, #T_457a2_row16_col1278, #T_457a2_row17_col4, #T_457a2_row17_col148, #T_457a2_row17_col159, #T_457a2_row17_col252, #T_457a2_row17_col274, #T_457a2_row17_col417, #T_457a2_row17_col421, #T_457a2_row17_col494, #T_457a2_row17_col523, #T_457a2_row17_col677, #T_457a2_row17_col724, #T_457a2_row17_col868, #T_457a2_row17_col879, #T_457a2_row17_col965, #T_457a2_row17_col972, #T_457a2_row17_col994, #T_457a2_row17_col1122, #T_457a2_row17_col1206, #T_457a2_row17_col1213, #T_457a2_row18_col210, #T_457a2_row18_col511, #T_457a2_row18_col537, #T_457a2_row18_col634, #T_457a2_row18_col875, #T_457a2_row18_col930, #T_457a2_row18_col1247, #T_457a2_row18_col1395, #T_457a2_row19_col580, #T_457a2_row19_col746, #T_457a2_row19_col1154, #T_457a2_row19_col1196, #T_457a2_row19_col1298, #T_457a2_row20_col173, #T_457a2_row20_col388, #T_457a2_row20_col602, #T_457a2_row20_col893, #T_457a2_row20_col1124, #T_457a2_row20_col1172, #T_457a2_row20_col1228, #T_457a2_row20_col1243, #T_457a2_row21_col185, #T_457a2_row21_col1246, #T_457a2_row21_col1264, #T_457a2_row21_col1303, #T_457a2_row21_col1326, #T_457a2_row21_col1352, #T_457a2_row21_col1422, #T_457a2_row22_col34, #T_457a2_row22_col341, #T_457a2_row22_col623, #T_457a2_row22_col650, #T_457a2_row22_col754, #T_457a2_row22_col865, #T_457a2_row22_col1061, #T_457a2_row23_col82, #T_457a2_row23_col184, #T_457a2_row23_col246, #T_457a2_row23_col578, #T_457a2_row23_col802, #T_457a2_row23_col904, #T_457a2_row23_col1023, #T_457a2_row23_col1237, #T_457a2_row23_col1243, #T_457a2_row23_col1350, #T_457a2_row24_col192, #T_457a2_row24_col223, #T_457a2_row24_col789, #T_457a2_row24_col912, #T_457a2_row24_col943 {\n",
       "  background-color: #60a1ca;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col359, #T_457a2_row0_col431, #T_457a2_row1_col272, #T_457a2_row1_col992, #T_457a2_row1_col1313, #T_457a2_row2_col547, #T_457a2_row3_col1081, #T_457a2_row4_col315, #T_457a2_row5_col1266, #T_457a2_row6_col110, #T_457a2_row7_col55, #T_457a2_row7_col514, #T_457a2_row7_col673, #T_457a2_row7_col775, #T_457a2_row7_col835, #T_457a2_row7_col1234, #T_457a2_row7_col1378, #T_457a2_row7_col1380, #T_457a2_row8_col1380, #T_457a2_row11_col102, #T_457a2_row11_col223, #T_457a2_row11_col822, #T_457a2_row11_col943, #T_457a2_row12_col360, #T_457a2_row12_col1080, #T_457a2_row13_col82, #T_457a2_row13_col226, #T_457a2_row13_col311, #T_457a2_row13_col946, #T_457a2_row13_col1031, #T_457a2_row15_col1279, #T_457a2_row16_col178, #T_457a2_row16_col898, #T_457a2_row18_col329, #T_457a2_row18_col1049, #T_457a2_row19_col1103, #T_457a2_row20_col470, #T_457a2_row20_col507, #T_457a2_row20_col683, #T_457a2_row21_col395 {\n",
       "  background-color: #023e62;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col364, #T_457a2_row0_col1357, #T_457a2_row1_col7, #T_457a2_row1_col69, #T_457a2_row1_col358, #T_457a2_row1_col723, #T_457a2_row1_col789, #T_457a2_row1_col1078, #T_457a2_row1_col1164, #T_457a2_row1_col1175, #T_457a2_row1_col1383, #T_457a2_row2_col15, #T_457a2_row2_col177, #T_457a2_row2_col249, #T_457a2_row2_col320, #T_457a2_row2_col604, #T_457a2_row2_col1040, #T_457a2_row2_col1135, #T_457a2_row2_col1211, #T_457a2_row3_col72, #T_457a2_row3_col94, #T_457a2_row3_col121, #T_457a2_row3_col792, #T_457a2_row3_col814, #T_457a2_row3_col1023, #T_457a2_row3_col1156, #T_457a2_row3_col1351, #T_457a2_row3_col1381, #T_457a2_row4_col131, #T_457a2_row4_col267, #T_457a2_row4_col371, #T_457a2_row4_col851, #T_457a2_row4_col1170, #T_457a2_row4_col1177, #T_457a2_row5_col82, #T_457a2_row5_col147, #T_457a2_row5_col168, #T_457a2_row5_col169, #T_457a2_row5_col425, #T_457a2_row5_col802, #T_457a2_row5_col867, #T_457a2_row5_col889, #T_457a2_row5_col1293, #T_457a2_row5_col1340, #T_457a2_row5_col1404, #T_457a2_row6_col79, #T_457a2_row6_col157, #T_457a2_row6_col441, #T_457a2_row6_col601, #T_457a2_row6_col667, #T_457a2_row6_col702, #T_457a2_row6_col1394, #T_457a2_row7_col217, #T_457a2_row7_col937, #T_457a2_row7_col1348, #T_457a2_row8_col485, #T_457a2_row8_col620, #T_457a2_row8_col796, #T_457a2_row8_col1364, #T_457a2_row9_col25, #T_457a2_row9_col178, #T_457a2_row9_col616, #T_457a2_row9_col745, #T_457a2_row9_col828, #T_457a2_row9_col898, #T_457a2_row9_col1173, #T_457a2_row9_col1322, #T_457a2_row9_col1343, #T_457a2_row10_col1107, #T_457a2_row10_col1163, #T_457a2_row10_col1367, #T_457a2_row10_col1371, #T_457a2_row10_col1410, #T_457a2_row10_col1443, #T_457a2_row11_col53, #T_457a2_row11_col225, #T_457a2_row11_col406, #T_457a2_row11_col450, #T_457a2_row11_col773, #T_457a2_row11_col868, #T_457a2_row11_col1263, #T_457a2_row12_col172, #T_457a2_row12_col209, #T_457a2_row12_col398, #T_457a2_row12_col555, #T_457a2_row12_col656, #T_457a2_row12_col708, #T_457a2_row12_col846, #T_457a2_row12_col1235, #T_457a2_row12_col1296, #T_457a2_row12_col1381, #T_457a2_row13_col109, #T_457a2_row13_col318, #T_457a2_row13_col829, #T_457a2_row13_col1038, #T_457a2_row13_col1220, #T_457a2_row13_col1231, #T_457a2_row14_col349, #T_457a2_row14_col480, #T_457a2_row14_col579, #T_457a2_row14_col1069, #T_457a2_row14_col1358, #T_457a2_row14_col1366, #T_457a2_row15_col317, #T_457a2_row15_col535, #T_457a2_row15_col1037, #T_457a2_row15_col1321, #T_457a2_row15_col1429, #T_457a2_row17_col62, #T_457a2_row17_col338, #T_457a2_row17_col482, #T_457a2_row17_col741, #T_457a2_row17_col782, #T_457a2_row17_col1048, #T_457a2_row17_col1058, #T_457a2_row17_col1177, #T_457a2_row17_col1317, #T_457a2_row18_col169, #T_457a2_row18_col398, #T_457a2_row18_col405, #T_457a2_row18_col422, #T_457a2_row18_col612, #T_457a2_row18_col715, #T_457a2_row18_col889, #T_457a2_row18_col987, #T_457a2_row18_col1119, #T_457a2_row18_col1245, #T_457a2_row19_col49, #T_457a2_row19_col82, #T_457a2_row19_col136, #T_457a2_row19_col384, #T_457a2_row19_col421, #T_457a2_row19_col769, #T_457a2_row19_col802, #T_457a2_row19_col856, #T_457a2_row19_col891, #T_457a2_row19_col1242, #T_457a2_row20_col122, #T_457a2_row20_col219, #T_457a2_row20_col519, #T_457a2_row20_col612, #T_457a2_row20_col939, #T_457a2_row20_col1209, #T_457a2_row20_col1246, #T_457a2_row20_col1277, #T_457a2_row20_col1438, #T_457a2_row21_col21, #T_457a2_row21_col180, #T_457a2_row21_col356, #T_457a2_row21_col430, #T_457a2_row21_col450, #T_457a2_row21_col741, #T_457a2_row21_col1076, #T_457a2_row21_col1140, #T_457a2_row21_col1215, #T_457a2_row21_col1279, #T_457a2_row22_col250, #T_457a2_row22_col430, #T_457a2_row22_col433, #T_457a2_row22_col470, #T_457a2_row22_col970, #T_457a2_row22_col1194, #T_457a2_row22_col1221, #T_457a2_row23_col519, #T_457a2_row23_col561, #T_457a2_row23_col717, #T_457a2_row23_col739, #T_457a2_row23_col1007, #T_457a2_row23_col1140, #T_457a2_row23_col1277, #T_457a2_row24_col50, #T_457a2_row24_col420, #T_457a2_row24_col621, #T_457a2_row24_col661, #T_457a2_row24_col742, #T_457a2_row24_col744, #T_457a2_row24_col770, #T_457a2_row24_col856, #T_457a2_row24_col1111 {\n",
       "  background-color: #7eadd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col385, #T_457a2_row1_col169, #T_457a2_row1_col889, #T_457a2_row2_col98, #T_457a2_row2_col818, #T_457a2_row2_col1159, #T_457a2_row4_col185, #T_457a2_row4_col1269, #T_457a2_row4_col1311, #T_457a2_row5_col668, #T_457a2_row6_col24, #T_457a2_row6_col537, #T_457a2_row6_col670, #T_457a2_row6_col744, #T_457a2_row6_col757, #T_457a2_row6_col1111, #T_457a2_row7_col200, #T_457a2_row7_col622, #T_457a2_row7_col920, #T_457a2_row8_col376, #T_457a2_row8_col982, #T_457a2_row8_col1246, #T_457a2_row9_col208, #T_457a2_row9_col508, #T_457a2_row10_col138, #T_457a2_row10_col371, #T_457a2_row10_col858, #T_457a2_row11_col70, #T_457a2_row11_col473, #T_457a2_row11_col690, #T_457a2_row11_col790, #T_457a2_row11_col1200, #T_457a2_row11_col1438, #T_457a2_row14_col223, #T_457a2_row14_col225, #T_457a2_row14_col241, #T_457a2_row14_col466, #T_457a2_row14_col468, #T_457a2_row14_col520, #T_457a2_row14_col538, #T_457a2_row14_col663, #T_457a2_row14_col680, #T_457a2_row14_col945, #T_457a2_row15_col413, #T_457a2_row15_col466, #T_457a2_row16_col73, #T_457a2_row16_col577, #T_457a2_row16_col657, #T_457a2_row16_col1347, #T_457a2_row17_col1014, #T_457a2_row18_col24, #T_457a2_row18_col188, #T_457a2_row18_col744, #T_457a2_row18_col908, #T_457a2_row18_col1167, #T_457a2_row19_col213, #T_457a2_row19_col933, #T_457a2_row20_col293, #T_457a2_row20_col1013, #T_457a2_row21_col119, #T_457a2_row21_col209, #T_457a2_row21_col225, #T_457a2_row21_col839, #T_457a2_row21_col945, #T_457a2_row21_col1062, #T_457a2_row22_col108, #T_457a2_row22_col478, #T_457a2_row22_col848, #T_457a2_row22_col1352, #T_457a2_row22_col1424, #T_457a2_row23_col212, #T_457a2_row23_col399, #T_457a2_row23_col536, #T_457a2_row23_col648, #T_457a2_row23_col812, #T_457a2_row23_col932, #T_457a2_row23_col1005, #T_457a2_row23_col1221, #T_457a2_row23_col1407, #T_457a2_row24_col124, #T_457a2_row24_col325, #T_457a2_row24_col428, #T_457a2_row24_col517, #T_457a2_row24_col691, #T_457a2_row24_col693, #T_457a2_row24_col1045, #T_457a2_row24_col1156, #T_457a2_row24_col1334, #T_457a2_row24_col1436 {\n",
       "  background-color: #e9e5f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col389, #T_457a2_row1_col105, #T_457a2_row1_col120, #T_457a2_row1_col355, #T_457a2_row1_col367, #T_457a2_row1_col675, #T_457a2_row1_col715, #T_457a2_row1_col883, #T_457a2_row1_col1075, #T_457a2_row1_col1223, #T_457a2_row2_col76, #T_457a2_row2_col1034, #T_457a2_row2_col1189, #T_457a2_row3_col625, #T_457a2_row3_col733, #T_457a2_row5_col192, #T_457a2_row5_col912, #T_457a2_row6_col178, #T_457a2_row7_col221, #T_457a2_row7_col245, #T_457a2_row7_col475, #T_457a2_row7_col941, #T_457a2_row7_col965, #T_457a2_row7_col1256, #T_457a2_row7_col1363, #T_457a2_row8_col1266, #T_457a2_row9_col798, #T_457a2_row9_col1009, #T_457a2_row11_col188, #T_457a2_row11_col263, #T_457a2_row11_col908, #T_457a2_row12_col221, #T_457a2_row12_col941, #T_457a2_row12_col1313, #T_457a2_row12_col1441, #T_457a2_row13_col61, #T_457a2_row13_col94, #T_457a2_row13_col291, #T_457a2_row13_col428, #T_457a2_row13_col516, #T_457a2_row13_col638, #T_457a2_row13_col814, #T_457a2_row13_col888, #T_457a2_row13_col1011, #T_457a2_row14_col1205, #T_457a2_row14_col1211, #T_457a2_row14_col1283, #T_457a2_row14_col1301, #T_457a2_row15_col1113, #T_457a2_row15_col1156, #T_457a2_row15_col1171, #T_457a2_row15_col1229, #T_457a2_row15_col1343, #T_457a2_row15_col1344, #T_457a2_row15_col1378, #T_457a2_row17_col455, #T_457a2_row19_col131, #T_457a2_row19_col851, #T_457a2_row19_col1107, #T_457a2_row19_col1116, #T_457a2_row19_col1133, #T_457a2_row19_col1435, #T_457a2_row20_col382, #T_457a2_row20_col406, #T_457a2_row20_col1123, #T_457a2_row20_col1359, #T_457a2_row22_col1320, #T_457a2_row23_col1357, #T_457a2_row24_col1386 {\n",
       "  background-color: #045687;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col395, #T_457a2_row0_col537, #T_457a2_row0_col1020, #T_457a2_row0_col1153, #T_457a2_row0_col1277, #T_457a2_row1_col170, #T_457a2_row1_col179, #T_457a2_row1_col277, #T_457a2_row1_col572, #T_457a2_row1_col727, #T_457a2_row1_col890, #T_457a2_row1_col997, #T_457a2_row1_col1203, #T_457a2_row2_col13, #T_457a2_row2_col103, #T_457a2_row2_col488, #T_457a2_row2_col633, #T_457a2_row2_col641, #T_457a2_row2_col645, #T_457a2_row2_col712, #T_457a2_row2_col733, #T_457a2_row2_col735, #T_457a2_row2_col791, #T_457a2_row2_col823, #T_457a2_row2_col897, #T_457a2_row2_col969, #T_457a2_row2_col994, #T_457a2_row2_col1150, #T_457a2_row2_col1195, #T_457a2_row2_col1443, #T_457a2_row3_col303, #T_457a2_row3_col376, #T_457a2_row3_col841, #T_457a2_row3_col1187, #T_457a2_row3_col1327, #T_457a2_row4_col226, #T_457a2_row4_col711, #T_457a2_row4_col946, #T_457a2_row4_col1330, #T_457a2_row4_col1356, #T_457a2_row5_col176, #T_457a2_row5_col272, #T_457a2_row5_col343, #T_457a2_row5_col348, #T_457a2_row5_col406, #T_457a2_row5_col423, #T_457a2_row5_col569, #T_457a2_row5_col888, #T_457a2_row5_col992, #T_457a2_row5_col1063, #T_457a2_row5_col1068, #T_457a2_row5_col1389, #T_457a2_row6_col8, #T_457a2_row6_col85, #T_457a2_row6_col171, #T_457a2_row6_col660, #T_457a2_row6_col728, #T_457a2_row6_col805, #T_457a2_row6_col824, #T_457a2_row6_col877, #T_457a2_row6_col1156, #T_457a2_row6_col1284, #T_457a2_row6_col1349, #T_457a2_row6_col1383, #T_457a2_row7_col26, #T_457a2_row7_col1219, #T_457a2_row7_col1311, #T_457a2_row8_col76, #T_457a2_row8_col459, #T_457a2_row8_col515, #T_457a2_row8_col540, #T_457a2_row8_col1268, #T_457a2_row9_col199, #T_457a2_row9_col602, #T_457a2_row9_col642, #T_457a2_row9_col679, #T_457a2_row9_col686, #T_457a2_row9_col919, #T_457a2_row10_col8, #T_457a2_row10_col728, #T_457a2_row10_col1055, #T_457a2_row10_col1271, #T_457a2_row10_col1387, #T_457a2_row10_col1412, #T_457a2_row11_col148, #T_457a2_row11_col208, #T_457a2_row11_col264, #T_457a2_row11_col343, #T_457a2_row11_col377, #T_457a2_row11_col499, #T_457a2_row11_col541, #T_457a2_row11_col559, #T_457a2_row11_col928, #T_457a2_row11_col984, #T_457a2_row11_col1063, #T_457a2_row11_col1337, #T_457a2_row12_col182, #T_457a2_row12_col411, #T_457a2_row12_col759, #T_457a2_row12_col892, #T_457a2_row12_col902, #T_457a2_row12_col929, #T_457a2_row12_col1193, #T_457a2_row12_col1244, #T_457a2_row12_col1410, #T_457a2_row12_col1443, #T_457a2_row13_col366, #T_457a2_row13_col1102, #T_457a2_row13_col1330, #T_457a2_row14_col425, #T_457a2_row14_col546, #T_457a2_row14_col602, #T_457a2_row14_col1156, #T_457a2_row14_col1176, #T_457a2_row14_col1279, #T_457a2_row14_col1400, #T_457a2_row15_col318, #T_457a2_row15_col522, #T_457a2_row15_col644, #T_457a2_row15_col1038, #T_457a2_row16_col128, #T_457a2_row16_col330, #T_457a2_row16_col439, #T_457a2_row16_col575, #T_457a2_row16_col848, #T_457a2_row16_col1050, #T_457a2_row16_col1253, #T_457a2_row16_col1305, #T_457a2_row17_col189, #T_457a2_row17_col339, #T_457a2_row17_col383, #T_457a2_row17_col453, #T_457a2_row17_col484, #T_457a2_row17_col516, #T_457a2_row17_col697, #T_457a2_row17_col966, #T_457a2_row17_col1059, #T_457a2_row17_col1159, #T_457a2_row18_col267, #T_457a2_row18_col1305, #T_457a2_row19_col8, #T_457a2_row19_col171, #T_457a2_row19_col369, #T_457a2_row19_col439, #T_457a2_row19_col511, #T_457a2_row19_col515, #T_457a2_row19_col537, #T_457a2_row19_col586, #T_457a2_row19_col601, #T_457a2_row19_col639, #T_457a2_row19_col719, #T_457a2_row19_col728, #T_457a2_row19_col1258, #T_457a2_row20_col138, #T_457a2_row20_col158, #T_457a2_row20_col169, #T_457a2_row20_col231, #T_457a2_row20_col243, #T_457a2_row20_col363, #T_457a2_row20_col404, #T_457a2_row20_col449, #T_457a2_row20_col502, #T_457a2_row20_col538, #T_457a2_row20_col686, #T_457a2_row20_col858, #T_457a2_row20_col889, #T_457a2_row20_col951, #T_457a2_row20_col1085, #T_457a2_row20_col1090, #T_457a2_row20_col1233, #T_457a2_row21_col358, #T_457a2_row21_col1078, #T_457a2_row21_col1136, #T_457a2_row21_col1223, #T_457a2_row22_col193, #T_457a2_row22_col289, #T_457a2_row22_col640, #T_457a2_row22_col652, #T_457a2_row22_col913, #T_457a2_row22_col1009, #T_457a2_row22_col1116, #T_457a2_row22_col1384, #T_457a2_row23_col350, #T_457a2_row23_col489, #T_457a2_row23_col721, #T_457a2_row23_col843, #T_457a2_row23_col1124, #T_457a2_row24_col22, #T_457a2_row24_col173, #T_457a2_row24_col221, #T_457a2_row24_col271, #T_457a2_row24_col317, #T_457a2_row24_col350, #T_457a2_row24_col391, #T_457a2_row24_col893, #T_457a2_row24_col941, #T_457a2_row24_col991, #T_457a2_row24_col1037, #T_457a2_row24_col1396 {\n",
       "  background-color: #7dacd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
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       "  background-color: #9cb9d9;\n",
       "  color: #000000;\n",
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       "  background-color: #c2cbe2;\n",
       "  color: #000000;\n",
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       "  background-color: #76aad0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
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       "  background-color: #9ab8d8;\n",
       "  color: #000000;\n",
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       "  background-color: #5a9ec9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col421, #T_457a2_row0_col679, #T_457a2_row0_col770, #T_457a2_row0_col1194, #T_457a2_row0_col1335, #T_457a2_row1_col162, #T_457a2_row1_col524, #T_457a2_row1_col528, #T_457a2_row1_col681, #T_457a2_row1_col857, #T_457a2_row1_col1141, #T_457a2_row1_col1198, #T_457a2_row1_col1388, #T_457a2_row1_col1434, #T_457a2_row2_col262, #T_457a2_row2_col368, #T_457a2_row2_col561, #T_457a2_row2_col639, #T_457a2_row2_col982, #T_457a2_row2_col1085, #T_457a2_row2_col1147, #T_457a2_row2_col1320, #T_457a2_row2_col1355, #T_457a2_row2_col1365, #T_457a2_row2_col1423, #T_457a2_row3_col113, #T_457a2_row3_col135, #T_457a2_row3_col220, #T_457a2_row3_col405, #T_457a2_row3_col855, #T_457a2_row3_col940, #T_457a2_row3_col1138, #T_457a2_row3_col1201, #T_457a2_row3_col1286, #T_457a2_row3_col1288, #T_457a2_row4_col664, #T_457a2_row4_col818, #T_457a2_row5_col58, #T_457a2_row5_col305, #T_457a2_row5_col1025, #T_457a2_row5_col1258, #T_457a2_row5_col1441, #T_457a2_row6_col475, #T_457a2_row6_col535, #T_457a2_row6_col992, #T_457a2_row6_col1020, #T_457a2_row6_col1310, #T_457a2_row6_col1377, #T_457a2_row7_col197, #T_457a2_row7_col1016, #T_457a2_row7_col1263, #T_457a2_row7_col1396, #T_457a2_row8_col417, #T_457a2_row8_col464, #T_457a2_row8_col1159, #T_457a2_row8_col1363, #T_457a2_row8_col1429, #T_457a2_row9_col83, #T_457a2_row9_col432, #T_457a2_row9_col803, #T_457a2_row10_col110, #T_457a2_row10_col124, #T_457a2_row10_col214, #T_457a2_row10_col934, #T_457a2_row10_col1154, #T_457a2_row10_col1191, #T_457a2_row10_col1194, #T_457a2_row10_col1241, #T_457a2_row10_col1304, #T_457a2_row10_col1375, #T_457a2_row10_col1406, #T_457a2_row11_col10, #T_457a2_row11_col234, #T_457a2_row11_col368, #T_457a2_row11_col422, #T_457a2_row11_col730, #T_457a2_row11_col919, #T_457a2_row11_col923, #T_457a2_row12_col120, #T_457a2_row12_col255, #T_457a2_row12_col285, #T_457a2_row12_col430, #T_457a2_row12_col756, #T_457a2_row12_col840, #T_457a2_row12_col975, #T_457a2_row12_col1089, #T_457a2_row12_col1143, #T_457a2_row12_col1152, #T_457a2_row12_col1180, #T_457a2_row12_col1399, #T_457a2_row12_col1420, #T_457a2_row13_col59, #T_457a2_row13_col224, #T_457a2_row13_col1440, #T_457a2_row14_col701, #T_457a2_row14_col1099, #T_457a2_row14_col1103, #T_457a2_row14_col1112, #T_457a2_row14_col1416, #T_457a2_row15_col161, #T_457a2_row15_col507, #T_457a2_row15_col747, #T_457a2_row15_col881, #T_457a2_row15_col1073, #T_457a2_row16_col122, #T_457a2_row16_col252, #T_457a2_row16_col972, #T_457a2_row16_col1372, #T_457a2_row16_col1441, #T_457a2_row17_col154, #T_457a2_row17_col303, #T_457a2_row17_col330, #T_457a2_row17_col565, #T_457a2_row17_col874, #T_457a2_row17_col1023, #T_457a2_row17_col1168, #T_457a2_row17_col1233, #T_457a2_row17_col1241, #T_457a2_row17_col1265, #T_457a2_row17_col1435, #T_457a2_row18_col528, #T_457a2_row18_col1309, #T_457a2_row18_col1344, #T_457a2_row19_col34, #T_457a2_row19_col706, #T_457a2_row19_col754, #T_457a2_row19_col965, #T_457a2_row19_col1176, #T_457a2_row19_col1267, #T_457a2_row19_col1323, #T_457a2_row20_col487, #T_457a2_row20_col511, #T_457a2_row20_col659, #T_457a2_row20_col1009, #T_457a2_row20_col1102, #T_457a2_row20_col1286, #T_457a2_row20_col1312, #T_457a2_row20_col1329, #T_457a2_row20_col1437, #T_457a2_row21_col1094, #T_457a2_row21_col1380, #T_457a2_row22_col6, #T_457a2_row22_col60, #T_457a2_row22_col201, #T_457a2_row22_col236, #T_457a2_row22_col726, #T_457a2_row22_col780, #T_457a2_row22_col921, #T_457a2_row22_col956, #T_457a2_row22_col1210, #T_457a2_row22_col1432, #T_457a2_row23_col96, #T_457a2_row23_col483, #T_457a2_row23_col979, #T_457a2_row23_col1332, #T_457a2_row24_col2, #T_457a2_row24_col341, #T_457a2_row24_col1061, #T_457a2_row24_col1248 {\n",
       "  background-color: #4c99c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col424, #T_457a2_row0_col502, #T_457a2_row0_col572, #T_457a2_row0_col1097, #T_457a2_row1_col8, #T_457a2_row1_col38, #T_457a2_row1_col48, #T_457a2_row1_col231, #T_457a2_row1_col281, #T_457a2_row1_col580, #T_457a2_row1_col669, #T_457a2_row1_col728, #T_457a2_row1_col758, #T_457a2_row1_col951, #T_457a2_row2_col39, #T_457a2_row2_col65, #T_457a2_row2_col100, #T_457a2_row2_col193, #T_457a2_row2_col209, #T_457a2_row2_col312, #T_457a2_row2_col317, #T_457a2_row2_col447, #T_457a2_row2_col691, #T_457a2_row2_col719, #T_457a2_row2_col759, #T_457a2_row2_col785, #T_457a2_row2_col913, #T_457a2_row2_col1032, #T_457a2_row2_col1037, #T_457a2_row2_col1307, #T_457a2_row3_col116, #T_457a2_row3_col156, #T_457a2_row3_col749, #T_457a2_row3_col836, #T_457a2_row3_col876, #T_457a2_row3_col1189, #T_457a2_row3_col1337, #T_457a2_row4_col453, #T_457a2_row4_col529, #T_457a2_row4_col624, #T_457a2_row4_col672, #T_457a2_row4_col1017, #T_457a2_row5_col19, #T_457a2_row5_col160, #T_457a2_row5_col177, #T_457a2_row5_col487, #T_457a2_row5_col581, #T_457a2_row5_col605, #T_457a2_row5_col648, #T_457a2_row5_col687, #T_457a2_row5_col739, #T_457a2_row5_col880, #T_457a2_row5_col897, #T_457a2_row5_col1007, #T_457a2_row6_col167, #T_457a2_row6_col406, #T_457a2_row6_col571, #T_457a2_row6_col692, #T_457a2_row6_col767, #T_457a2_row6_col887, #T_457a2_row6_col1095, #T_457a2_row6_col1144, #T_457a2_row6_col1280, #T_457a2_row6_col1421, #T_457a2_row7_col121, #T_457a2_row7_col504, #T_457a2_row7_col607, #T_457a2_row7_col841, #T_457a2_row8_col509, #T_457a2_row8_col952, #T_457a2_row8_col1088, #T_457a2_row9_col1223, #T_457a2_row9_col1380, #T_457a2_row10_col9, #T_457a2_row10_col23, #T_457a2_row10_col373, #T_457a2_row10_col602, #T_457a2_row10_col729, #T_457a2_row10_col743, #T_457a2_row10_col1272, #T_457a2_row10_col1310, #T_457a2_row10_col1312, #T_457a2_row11_col45, #T_457a2_row11_col87, #T_457a2_row11_col437, #T_457a2_row11_col594, #T_457a2_row11_col807, #T_457a2_row11_col1029, #T_457a2_row11_col1210, #T_457a2_row11_col1309, #T_457a2_row12_col99, #T_457a2_row12_col212, #T_457a2_row12_col338, #T_457a2_row12_col468, #T_457a2_row12_col516, #T_457a2_row12_col819, #T_457a2_row12_col932, #T_457a2_row12_col1058, #T_457a2_row12_col1209, #T_457a2_row13_col646, #T_457a2_row13_col1224, #T_457a2_row13_col1339, #T_457a2_row14_col14, #T_457a2_row14_col180, #T_457a2_row14_col688, #T_457a2_row14_col734, #T_457a2_row14_col789, #T_457a2_row14_col882, #T_457a2_row15_col320, #T_457a2_row15_col325, #T_457a2_row15_col722, #T_457a2_row15_col838, #T_457a2_row15_col1024, #T_457a2_row15_col1045, #T_457a2_row16_col322, #T_457a2_row16_col467, #T_457a2_row16_col519, #T_457a2_row16_col530, #T_457a2_row16_col781, #T_457a2_row16_col1042, #T_457a2_row16_col1296, #T_457a2_row16_col1339, #T_457a2_row16_col1427, #T_457a2_row17_col34, #T_457a2_row17_col142, #T_457a2_row17_col320, #T_457a2_row17_col456, #T_457a2_row17_col474, #T_457a2_row17_col549, #T_457a2_row17_col617, #T_457a2_row17_col754, #T_457a2_row17_col862, #T_457a2_row17_col1365, #T_457a2_row18_col11, #T_457a2_row18_col60, #T_457a2_row18_col132, #T_457a2_row18_col318, #T_457a2_row18_col579, #T_457a2_row18_col630, #T_457a2_row18_col656, #T_457a2_row18_col731, #T_457a2_row18_col852, #T_457a2_row18_col962, #T_457a2_row18_col1038, #T_457a2_row18_col1083, #T_457a2_row18_col1174, #T_457a2_row18_col1253, #T_457a2_row19_col190, #T_457a2_row19_col261, #T_457a2_row19_col381, #T_457a2_row19_col507, #T_457a2_row19_col617, #T_457a2_row19_col649, #T_457a2_row19_col744, #T_457a2_row19_col910, #T_457a2_row19_col981, #T_457a2_row19_col1060, #T_457a2_row19_col1286, #T_457a2_row20_col25, #T_457a2_row20_col37, #T_457a2_row20_col55, #T_457a2_row20_col201, #T_457a2_row20_col216, #T_457a2_row20_col304, #T_457a2_row20_col396, #T_457a2_row20_col484, #T_457a2_row20_col745, #T_457a2_row20_col775, #T_457a2_row20_col921, #T_457a2_row20_col936, #T_457a2_row20_col1024, #T_457a2_row20_col1297, #T_457a2_row21_col199, #T_457a2_row21_col298, #T_457a2_row21_col462, #T_457a2_row21_col480, #T_457a2_row21_col482, #T_457a2_row21_col506, #T_457a2_row21_col641, #T_457a2_row21_col919, #T_457a2_row21_col966, #T_457a2_row21_col1018, #T_457a2_row22_col17, #T_457a2_row22_col35, #T_457a2_row22_col165, #T_457a2_row22_col462, #T_457a2_row22_col626, #T_457a2_row22_col673, #T_457a2_row22_col737, #T_457a2_row22_col755, #T_457a2_row22_col784, #T_457a2_row23_col197, #T_457a2_row23_col538, #T_457a2_row23_col978, #T_457a2_row23_col1227, #T_457a2_row23_col1312, #T_457a2_row23_col1414, #T_457a2_row24_col142, #T_457a2_row24_col166, #T_457a2_row24_col245, #T_457a2_row24_col399, #T_457a2_row24_col767, #T_457a2_row24_col862, #T_457a2_row24_col886, #T_457a2_row24_col965, #T_457a2_row24_col1218 {\n",
       "  background-color: #a9bfdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col425, #T_457a2_row0_col505, #T_457a2_row1_col1359, #T_457a2_row1_col1440, #T_457a2_row2_col1084, #T_457a2_row2_col1260, #T_457a2_row3_col504, #T_457a2_row3_col1055, #T_457a2_row5_col1200, #T_457a2_row7_col145, #T_457a2_row7_col157, #T_457a2_row7_col175, #T_457a2_row7_col642, #T_457a2_row7_col692, #T_457a2_row7_col877, #T_457a2_row7_col895, #T_457a2_row7_col897, #T_457a2_row7_col1188, #T_457a2_row7_col1227, #T_457a2_row7_col1439, #T_457a2_row8_col1227, #T_457a2_row9_col850, #T_457a2_row10_col1085, #T_457a2_row11_col68, #T_457a2_row11_col347, #T_457a2_row13_col45, #T_457a2_row13_col192, #T_457a2_row13_col765, #T_457a2_row13_col912, #T_457a2_row13_col1281, #T_457a2_row14_col1097, #T_457a2_row14_col1168, #T_457a2_row14_col1354, #T_457a2_row15_col565, #T_457a2_row15_col1096, #T_457a2_row15_col1112, #T_457a2_row15_col1206, #T_457a2_row15_col1258, #T_457a2_row15_col1285, #T_457a2_row17_col1347, #T_457a2_row18_col689, #T_457a2_row18_col1439, #T_457a2_row19_col1088, #T_457a2_row20_col1126, #T_457a2_row20_col1194, #T_457a2_row21_col17 {\n",
       "  background-color: #03466e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col429, #T_457a2_row0_col441, #T_457a2_row0_col1314, #T_457a2_row0_col1391, #T_457a2_row1_col610, #T_457a2_row1_col1194, #T_457a2_row1_col1234, #T_457a2_row1_col1251, #T_457a2_row2_col192, #T_457a2_row2_col503, #T_457a2_row2_col685, #T_457a2_row2_col912, #T_457a2_row2_col1111, #T_457a2_row2_col1132, #T_457a2_row2_col1229, #T_457a2_row2_col1391, #T_457a2_row3_col532, #T_457a2_row3_col1371, #T_457a2_row4_col1076, #T_457a2_row5_col204, #T_457a2_row5_col341, #T_457a2_row5_col546, #T_457a2_row5_col1061, #T_457a2_row6_col305, #T_457a2_row6_col429, #T_457a2_row6_col854, #T_457a2_row6_col1025, #T_457a2_row7_col61, #T_457a2_row7_col73, #T_457a2_row7_col349, #T_457a2_row7_col414, #T_457a2_row7_col505, #T_457a2_row7_col606, #T_457a2_row7_col760, #T_457a2_row7_col781, #T_457a2_row7_col793, #T_457a2_row7_col1069, #T_457a2_row8_col1165, #T_457a2_row8_col1175, #T_457a2_row8_col1435, #T_457a2_row9_col81, #T_457a2_row9_col801, #T_457a2_row9_col1320, #T_457a2_row10_col663, #T_457a2_row12_col1359, #T_457a2_row13_col158, #T_457a2_row13_col365, #T_457a2_row13_col589, #T_457a2_row13_col758, #T_457a2_row13_col813, #T_457a2_row13_col902, #T_457a2_row13_col1295, #T_457a2_row14_col1406, #T_457a2_row14_col1425, #T_457a2_row15_col365, #T_457a2_row15_col389, #T_457a2_row16_col171, #T_457a2_row16_col219, #T_457a2_row16_col939, #T_457a2_row17_col86, #T_457a2_row17_col806, #T_457a2_row17_col1106, #T_457a2_row18_col711, #T_457a2_row19_col197, #T_457a2_row19_col546, #T_457a2_row19_col1281, #T_457a2_row20_col221, #T_457a2_row20_col355, #T_457a2_row20_col1075, #T_457a2_row20_col1376, #T_457a2_row21_col307, #T_457a2_row21_col1027, #T_457a2_row24_col183, #T_457a2_row24_col306, #T_457a2_row24_col903, #T_457a2_row24_col1437 {\n",
       "  background-color: #034e7b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col434, #T_457a2_row0_col1301, #T_457a2_row0_col1407, #T_457a2_row1_col374, #T_457a2_row1_col523, #T_457a2_row1_col593, #T_457a2_row1_col1102, #T_457a2_row1_col1184, #T_457a2_row1_col1349, #T_457a2_row2_col124, #T_457a2_row2_col132, #T_457a2_row2_col340, #T_457a2_row2_col697, #T_457a2_row2_col1060, #T_457a2_row3_col336, #T_457a2_row3_col501, #T_457a2_row3_col1379, #T_457a2_row4_col108, #T_457a2_row4_col506, #T_457a2_row4_col962, #T_457a2_row5_col1125, #T_457a2_row7_col44, #T_457a2_row7_col268, #T_457a2_row7_col332, #T_457a2_row7_col406, #T_457a2_row7_col764, #T_457a2_row7_col988, #T_457a2_row7_col1052, #T_457a2_row7_col1278, #T_457a2_row8_col1194, #T_457a2_row9_col120, #T_457a2_row9_col134, #T_457a2_row9_col269, #T_457a2_row9_col542, #T_457a2_row9_col543, #T_457a2_row9_col840, #T_457a2_row9_col854, #T_457a2_row9_col989, #T_457a2_row11_col125, #T_457a2_row11_col185, #T_457a2_row11_col519, #T_457a2_row11_col845, #T_457a2_row11_col1026, #T_457a2_row12_col86, #T_457a2_row12_col483, #T_457a2_row12_col535, #T_457a2_row12_col806, #T_457a2_row12_col843, #T_457a2_row13_col62, #T_457a2_row13_col75, #T_457a2_row13_col667, #T_457a2_row13_col675, #T_457a2_row13_col782, #T_457a2_row13_col1043, #T_457a2_row14_col1162, #T_457a2_row14_col1396, #T_457a2_row14_col1420, #T_457a2_row15_col489, #T_457a2_row15_col1102, #T_457a2_row15_col1211, #T_457a2_row15_col1338, #T_457a2_row16_col1117, #T_457a2_row16_col1136, #T_457a2_row17_col336, #T_457a2_row17_col462, #T_457a2_row17_col1056, #T_457a2_row17_col1126, #T_457a2_row17_col1370, #T_457a2_row19_col380, #T_457a2_row19_col784, #T_457a2_row20_col508, #T_457a2_row20_col606, #T_457a2_row20_col1353, #T_457a2_row21_col1308, #T_457a2_row23_col1147, #T_457a2_row24_col665, #T_457a2_row24_col925 {\n",
       "  background-color: #04629a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col439, #T_457a2_row0_col671, #T_457a2_row0_col1100, #T_457a2_row0_col1266, #T_457a2_row1_col141, #T_457a2_row1_col850, #T_457a2_row1_col861, #T_457a2_row1_col1147, #T_457a2_row1_col1378, #T_457a2_row2_col311, #T_457a2_row2_col716, #T_457a2_row2_col1031, #T_457a2_row3_col1344, #T_457a2_row5_col208, #T_457a2_row5_col489, #T_457a2_row5_col928, #T_457a2_row6_col444, #T_457a2_row7_col29, #T_457a2_row7_col183, #T_457a2_row7_col259, #T_457a2_row7_col439, #T_457a2_row7_col589, #T_457a2_row7_col616, #T_457a2_row7_col903, #T_457a2_row7_col1299, #T_457a2_row7_col1405, #T_457a2_row8_col521, #T_457a2_row8_col1300, #T_457a2_row9_col51, #T_457a2_row9_col124, #T_457a2_row9_col844, #T_457a2_row11_col92, #T_457a2_row11_col255, #T_457a2_row11_col812, #T_457a2_row11_col975, #T_457a2_row13_col56, #T_457a2_row13_col321, #T_457a2_row13_col425, #T_457a2_row13_col650, #T_457a2_row13_col776, #T_457a2_row13_col1029, #T_457a2_row13_col1041, #T_457a2_row14_col1322, #T_457a2_row14_col1340, #T_457a2_row14_col1388, #T_457a2_row15_col202, #T_457a2_row15_col1295, #T_457a2_row15_col1392, #T_457a2_row16_col685, #T_457a2_row17_col1384, #T_457a2_row19_col1100, #T_457a2_row19_col1200, #T_457a2_row21_col435, #T_457a2_row23_col1141, #T_457a2_row24_col280, #T_457a2_row24_col1000 {\n",
       "  background-color: #034a74;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col442, #T_457a2_row3_col877, #T_457a2_row4_col1431, #T_457a2_row5_col1018, #T_457a2_row6_col396, #T_457a2_row6_col528, #T_457a2_row6_col626, #T_457a2_row6_col1260, #T_457a2_row8_col12, #T_457a2_row8_col60, #T_457a2_row8_col538, #T_457a2_row8_col780, #T_457a2_row8_col927, #T_457a2_row9_col118, #T_457a2_row9_col838, #T_457a2_row9_col1372, #T_457a2_row10_col438, #T_457a2_row11_col42, #T_457a2_row11_col505, #T_457a2_row11_col1334, #T_457a2_row13_col1096, #T_457a2_row13_col1144, #T_457a2_row14_col114, #T_457a2_row14_col376, #T_457a2_row14_col834, #T_457a2_row14_col1025, #T_457a2_row15_col293, #T_457a2_row15_col744, #T_457a2_row15_col1013, #T_457a2_row16_col403, #T_457a2_row16_col997, #T_457a2_row16_col1232, #T_457a2_row16_col1238, #T_457a2_row17_col98, #T_457a2_row17_col818, #T_457a2_row19_col593, #T_457a2_row23_col411, #T_457a2_row23_col463, #T_457a2_row24_col239, #T_457a2_row24_col472, #T_457a2_row24_col827 {\n",
       "  background-color: #fbf3f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col450, #T_457a2_row0_col468, #T_457a2_row0_col488, #T_457a2_row0_col536, #T_457a2_row0_col543, #T_457a2_row0_col613, #T_457a2_row0_col622, #T_457a2_row0_col626, #T_457a2_row0_col639, #T_457a2_row0_col975, #T_457a2_row0_col1178, #T_457a2_row0_col1282, #T_457a2_row0_col1324, #T_457a2_row1_col171, #T_457a2_row1_col254, #T_457a2_row1_col282, #T_457a2_row1_col319, #T_457a2_row1_col603, #T_457a2_row1_col673, #T_457a2_row1_col836, #T_457a2_row1_col891, #T_457a2_row1_col946, #T_457a2_row1_col974, #T_457a2_row1_col1039, #T_457a2_row2_col64, #T_457a2_row2_col464, #T_457a2_row2_col610, #T_457a2_row2_col749, #T_457a2_row2_col784, #T_457a2_row2_col953, #T_457a2_row2_col1128, #T_457a2_row2_col1271, #T_457a2_row2_col1323, #T_457a2_row2_col1359, #T_457a2_row3_col111, #T_457a2_row3_col191, #T_457a2_row3_col515, #T_457a2_row3_col556, #T_457a2_row3_col831, #T_457a2_row3_col911, #T_457a2_row3_col969, #T_457a2_row3_col1040, #T_457a2_row3_col1140, #T_457a2_row3_col1149, #T_457a2_row3_col1373, #T_457a2_row3_col1382, #T_457a2_row4_col36, #T_457a2_row4_col202, #T_457a2_row4_col251, #T_457a2_row4_col463, #T_457a2_row4_col572, #T_457a2_row4_col756, #T_457a2_row4_col922, #T_457a2_row4_col971, #T_457a2_row5_col46, #T_457a2_row5_col76, #T_457a2_row5_col133, #T_457a2_row5_col483, #T_457a2_row5_col494, #T_457a2_row5_col796, #T_457a2_row5_col1001, #T_457a2_row5_col1106, #T_457a2_row5_col1302, #T_457a2_row5_col1422, #T_457a2_row6_col78, #T_457a2_row6_col625, #T_457a2_row6_col883, #T_457a2_row6_col1119, #T_457a2_row6_col1372, #T_457a2_row7_col72, #T_457a2_row7_col83, #T_457a2_row7_col577, #T_457a2_row7_col792, #T_457a2_row7_col803, #T_457a2_row7_col836, #T_457a2_row7_col1149, #T_457a2_row8_col465, #T_457a2_row8_col1321, #T_457a2_row8_col1415, #T_457a2_row9_col405, #T_457a2_row9_col408, #T_457a2_row9_col545, #T_457a2_row9_col547, #T_457a2_row9_col556, #T_457a2_row9_col605, #T_457a2_row9_col613, #T_457a2_row9_col1206, #T_457a2_row9_col1326, #T_457a2_row9_col1378, #T_457a2_row10_col1079, #T_457a2_row10_col1125, #T_457a2_row10_col1137, #T_457a2_row10_col1280, #T_457a2_row10_col1283, #T_457a2_row10_col1299, #T_457a2_row10_col1382, #T_457a2_row11_col15, #T_457a2_row11_col319, #T_457a2_row11_col565, #T_457a2_row11_col616, #T_457a2_row11_col735, #T_457a2_row11_col1039, #T_457a2_row11_col1127, #T_457a2_row11_col1237, #T_457a2_row11_col1432, #T_457a2_row12_col89, #T_457a2_row12_col119, #T_457a2_row12_col142, #T_457a2_row12_col177, #T_457a2_row12_col409, #T_457a2_row12_col523, #T_457a2_row12_col809, #T_457a2_row12_col839, #T_457a2_row12_col862, #T_457a2_row12_col883, #T_457a2_row12_col969, #T_457a2_row13_col1091, #T_457a2_row13_col1277, #T_457a2_row13_col1329, #T_457a2_row14_col657, #T_457a2_row14_col1115, #T_457a2_row15_col307, #T_457a2_row15_col411, #T_457a2_row15_col567, #T_457a2_row16_col795, #T_457a2_row16_col1422, #T_457a2_row17_col121, #T_457a2_row17_col245, #T_457a2_row17_col349, #T_457a2_row17_col489, #T_457a2_row17_col575, #T_457a2_row17_col1069, #T_457a2_row17_col1312, #T_457a2_row17_col1359, #T_457a2_row18_col231, #T_457a2_row18_col397, #T_457a2_row18_col719, #T_457a2_row18_col951, #T_457a2_row18_col1207, #T_457a2_row18_col1364, #T_457a2_row18_col1400, #T_457a2_row19_col26, #T_457a2_row19_col95, #T_457a2_row19_col543, #T_457a2_row19_col557, #T_457a2_row19_col736, #T_457a2_row19_col815, #T_457a2_row19_col1289, #T_457a2_row20_col533, #T_457a2_row20_col549, #T_457a2_row20_col568, #T_457a2_row20_col690, #T_457a2_row20_col1099, #T_457a2_row20_col1110, #T_457a2_row20_col1140, #T_457a2_row21_col62, #T_457a2_row21_col495, #T_457a2_row21_col566, #T_457a2_row21_col725, #T_457a2_row21_col782, #T_457a2_row21_col1227, #T_457a2_row22_col9, #T_457a2_row22_col436, #T_457a2_row22_col1097, #T_457a2_row22_col1114, #T_457a2_row22_col1160, #T_457a2_row22_col1211, #T_457a2_row23_col361, #T_457a2_row23_col966, #T_457a2_row23_col1081, #T_457a2_row23_col1198, #T_457a2_row23_col1207, #T_457a2_row23_col1268, #T_457a2_row23_col1377, #T_457a2_row24_col69, #T_457a2_row24_col134, #T_457a2_row24_col305, #T_457a2_row24_col498, #T_457a2_row24_col854, #T_457a2_row24_col1025, #T_457a2_row24_col1431 {\n",
       "  background-color: #62a2cb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col456, #T_457a2_row0_col688, #T_457a2_row1_col340, #T_457a2_row1_col411, #T_457a2_row1_col652, #T_457a2_row1_col1060, #T_457a2_row2_col33, #T_457a2_row2_col298, #T_457a2_row2_col324, #T_457a2_row2_col331, #T_457a2_row2_col429, #T_457a2_row2_col624, #T_457a2_row2_col1018, #T_457a2_row2_col1044, #T_457a2_row2_col1252, #T_457a2_row3_col411, #T_457a2_row3_col753, #T_457a2_row3_col1217, #T_457a2_row3_col1237, #T_457a2_row3_col1421, #T_457a2_row4_col74, #T_457a2_row4_col488, #T_457a2_row4_col519, #T_457a2_row4_col520, #T_457a2_row4_col649, #T_457a2_row4_col681, #T_457a2_row4_col794, #T_457a2_row4_col1101, #T_457a2_row4_col1314, #T_457a2_row4_col1375, #T_457a2_row4_col1399, #T_457a2_row5_col166, #T_457a2_row5_col241, #T_457a2_row5_col712, #T_457a2_row5_col886, #T_457a2_row5_col1208, #T_457a2_row6_col443, #T_457a2_row6_col685, #T_457a2_row6_col754, #T_457a2_row6_col780, #T_457a2_row6_col1173, #T_457a2_row6_col1184, #T_457a2_row6_col1212, #T_457a2_row8_col57, #T_457a2_row8_col79, #T_457a2_row8_col341, #T_457a2_row8_col458, #T_457a2_row8_col550, #T_457a2_row8_col799, #T_457a2_row8_col1061, #T_457a2_row9_col227, #T_457a2_row9_col470, #T_457a2_row9_col776, #T_457a2_row9_col947, #T_457a2_row9_col1096, #T_457a2_row9_col1220, #T_457a2_row9_col1259, #T_457a2_row10_col76, #T_457a2_row10_col248, #T_457a2_row10_col256, #T_457a2_row10_col322, #T_457a2_row10_col534, #T_457a2_row10_col694, #T_457a2_row10_col739, #T_457a2_row10_col796, #T_457a2_row10_col968, #T_457a2_row10_col976, #T_457a2_row10_col1042, #T_457a2_row10_col1204, #T_457a2_row10_col1400, #T_457a2_row11_col140, #T_457a2_row11_col460, #T_457a2_row11_col471, #T_457a2_row11_col547, #T_457a2_row11_col604, #T_457a2_row11_col649, #T_457a2_row11_col702, #T_457a2_row11_col721, #T_457a2_row11_col860, #T_457a2_row11_col1180, #T_457a2_row11_col1365, #T_457a2_row11_col1441, #T_457a2_row12_col35, #T_457a2_row12_col81, #T_457a2_row12_col838, #T_457a2_row12_col1314, #T_457a2_row13_col499, #T_457a2_row13_col630, #T_457a2_row13_col1217, #T_457a2_row14_col189, #T_457a2_row14_col318, #T_457a2_row14_col416, #T_457a2_row14_col430, #T_457a2_row14_col575, #T_457a2_row14_col804, #T_457a2_row14_col909, #T_457a2_row14_col1105, #T_457a2_row15_col98, #T_457a2_row15_col697, #T_457a2_row15_col818, #T_457a2_row16_col16, #T_457a2_row16_col221, #T_457a2_row16_col245, #T_457a2_row16_col269, #T_457a2_row16_col359, #T_457a2_row16_col595, #T_457a2_row16_col643, #T_457a2_row16_col736, #T_457a2_row16_col765, #T_457a2_row16_col941, #T_457a2_row16_col989, #T_457a2_row16_col1079, #T_457a2_row16_col1328, #T_457a2_row17_col145, #T_457a2_row17_col388, #T_457a2_row17_col540, #T_457a2_row17_col865, #T_457a2_row17_col1187, #T_457a2_row18_col205, #T_457a2_row18_col289, #T_457a2_row18_col445, #T_457a2_row18_col488, #T_457a2_row18_col495, #T_457a2_row18_col596, #T_457a2_row18_col925, #T_457a2_row19_col155, #T_457a2_row19_col157, #T_457a2_row19_col484, #T_457a2_row19_col877, #T_457a2_row19_col1352, #T_457a2_row20_col190, #T_457a2_row20_col324, #T_457a2_row20_col427, #T_457a2_row20_col546, #T_457a2_row20_col592, #T_457a2_row20_col598, #T_457a2_row20_col910, #T_457a2_row20_col1044, #T_457a2_row21_col1292, #T_457a2_row22_col47, #T_457a2_row22_col237, #T_457a2_row22_col308, #T_457a2_row22_col360, #T_457a2_row22_col480, #T_457a2_row22_col483, #T_457a2_row22_col613, #T_457a2_row22_col767, #T_457a2_row22_col957, #T_457a2_row22_col966, #T_457a2_row22_col1028, #T_457a2_row22_col1080, #T_457a2_row22_col1299, #T_457a2_row23_col109, #T_457a2_row23_col147, #T_457a2_row23_col829, #T_457a2_row23_col867, #T_457a2_row23_col1160, #T_457a2_row23_col1186, #T_457a2_row24_col171, #T_457a2_row24_col340, #T_457a2_row24_col795, #T_457a2_row24_col1060, #T_457a2_row24_col1113, #T_457a2_row24_col1184 {\n",
       "  background-color: #b3c3de;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col462, #T_457a2_row0_col822, #T_457a2_row0_col1224, #T_457a2_row0_col1285, #T_457a2_row0_col1294, #T_457a2_row1_col19, #T_457a2_row1_col333, #T_457a2_row1_col375, #T_457a2_row1_col376, #T_457a2_row1_col697, #T_457a2_row1_col1053, #T_457a2_row1_col1355, #T_457a2_row2_col261, #T_457a2_row2_col275, #T_457a2_row2_col287, #T_457a2_row2_col560, #T_457a2_row2_col634, #T_457a2_row2_col696, #T_457a2_row2_col757, #T_457a2_row2_col981, #T_457a2_row2_col995, #T_457a2_row2_col1007, #T_457a2_row2_col1235, #T_457a2_row3_col325, #T_457a2_row3_col661, #T_457a2_row3_col677, #T_457a2_row3_col826, #T_457a2_row3_col882, #T_457a2_row3_col1045, #T_457a2_row3_col1121, #T_457a2_row3_col1188, #T_457a2_row3_col1350, #T_457a2_row3_col1417, #T_457a2_row4_col229, #T_457a2_row4_col245, #T_457a2_row4_col287, #T_457a2_row4_col740, #T_457a2_row4_col949, #T_457a2_row5_col55, #T_457a2_row5_col126, #T_457a2_row5_col141, #T_457a2_row5_col443, #T_457a2_row5_col775, #T_457a2_row5_col1216, #T_457a2_row5_col1392, #T_457a2_row6_col26, #T_457a2_row6_col122, #T_457a2_row6_col186, #T_457a2_row6_col715, #T_457a2_row6_col740, #T_457a2_row6_col746, #T_457a2_row6_col1314, #T_457a2_row7_col417, #T_457a2_row7_col481, #T_457a2_row7_col548, #T_457a2_row7_col1140, #T_457a2_row7_col1155, #T_457a2_row7_col1241, #T_457a2_row7_col1320, #T_457a2_row7_col1353, #T_457a2_row7_col1382, #T_457a2_row8_col124, #T_457a2_row8_col192, #T_457a2_row8_col445, #T_457a2_row8_col844, #T_457a2_row8_col912, #T_457a2_row8_col1104, #T_457a2_row8_col1186, #T_457a2_row8_col1387, #T_457a2_row9_col200, #T_457a2_row9_col268, #T_457a2_row9_col352, #T_457a2_row9_col920, #T_457a2_row9_col988, #T_457a2_row9_col1072, #T_457a2_row9_col1395, #T_457a2_row9_col1414, #T_457a2_row10_col7, #T_457a2_row10_col186, #T_457a2_row10_col530, #T_457a2_row10_col595, #T_457a2_row10_col727, #T_457a2_row10_col906, #T_457a2_row10_col1101, #T_457a2_row10_col1208, #T_457a2_row11_col112, #T_457a2_row11_col202, #T_457a2_row11_col247, #T_457a2_row11_col260, #T_457a2_row11_col371, #T_457a2_row11_col515, #T_457a2_row11_col625, #T_457a2_row11_col693, #T_457a2_row11_col789, #T_457a2_row11_col832, #T_457a2_row11_col922, #T_457a2_row11_col980, #T_457a2_row11_col1076, #T_457a2_row12_col23, #T_457a2_row12_col258, #T_457a2_row12_col432, #T_457a2_row12_col613, #T_457a2_row12_col693, #T_457a2_row12_col919, #T_457a2_row12_col978, #T_457a2_row12_col1144, #T_457a2_row12_col1190, #T_457a2_row12_col1388, #T_457a2_row13_col138, #T_457a2_row13_col427, #T_457a2_row13_col775, #T_457a2_row13_col864, #T_457a2_row13_col1191, #T_457a2_row13_col1202, #T_457a2_row13_col1218, #T_457a2_row13_col1254, #T_457a2_row13_col1433, #T_457a2_row14_col339, #T_457a2_row14_col341, #T_457a2_row14_col1061, #T_457a2_row15_col31, #T_457a2_row15_col47, #T_457a2_row15_col147, #T_457a2_row15_col294, #T_457a2_row15_col497, #T_457a2_row15_col526, #T_457a2_row15_col591, #T_457a2_row15_col751, #T_457a2_row15_col767, #T_457a2_row15_col1202, #T_457a2_row16_col720, #T_457a2_row16_col1106, #T_457a2_row16_col1333, #T_457a2_row17_col47, #T_457a2_row17_col97, #T_457a2_row17_col141, #T_457a2_row17_col200, #T_457a2_row17_col201, #T_457a2_row17_col313, #T_457a2_row17_col525, #T_457a2_row17_col767, #T_457a2_row17_col817, #T_457a2_row17_col861, #T_457a2_row17_col920, #T_457a2_row17_col1033, #T_457a2_row17_col1094, #T_457a2_row17_col1186, #T_457a2_row17_col1296, #T_457a2_row18_col99, #T_457a2_row18_col245, #T_457a2_row18_col459, #T_457a2_row18_col691, #T_457a2_row18_col819, #T_457a2_row18_col965, #T_457a2_row18_col1124, #T_457a2_row18_col1179, #T_457a2_row18_col1192, #T_457a2_row18_col1208, #T_457a2_row19_col22, #T_457a2_row19_col46, #T_457a2_row19_col397, #T_457a2_row19_col406, #T_457a2_row19_col512, #T_457a2_row19_col581, #T_457a2_row19_col588, #T_457a2_row19_col636, #T_457a2_row19_col766, #T_457a2_row19_col1145, #T_457a2_row19_col1146, #T_457a2_row19_col1264, #T_457a2_row20_col468, #T_457a2_row20_col595, #T_457a2_row20_col694, #T_457a2_row20_col1023, #T_457a2_row20_col1222, #T_457a2_row20_col1397, #T_457a2_row21_col230, #T_457a2_row21_col359, #T_457a2_row21_col505, #T_457a2_row21_col950, #T_457a2_row21_col1079, #T_457a2_row21_col1124, #T_457a2_row21_col1289, #T_457a2_row21_col1311, #T_457a2_row21_col1364, #T_457a2_row22_col361, #T_457a2_row22_col639, #T_457a2_row22_col1081, #T_457a2_row22_col1192, #T_457a2_row22_col1361, #T_457a2_row23_col126, #T_457a2_row23_col346, #T_457a2_row23_col1066, #T_457a2_row24_col242, #T_457a2_row24_col983, #T_457a2_row24_col1243 {\n",
       "  background-color: #69a5cc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col464, #T_457a2_row0_col650, #T_457a2_row0_col1079, #T_457a2_row0_col1405, #T_457a2_row1_col1143, #T_457a2_row1_col1292, #T_457a2_row1_col1369, #T_457a2_row2_col695, #T_457a2_row3_col189, #T_457a2_row3_col254, #T_457a2_row3_col361, #T_457a2_row3_col909, #T_457a2_row3_col974, #T_457a2_row3_col1172, #T_457a2_row4_col51, #T_457a2_row4_col80, #T_457a2_row4_col346, #T_457a2_row4_col771, #T_457a2_row4_col800, #T_457a2_row4_col898, #T_457a2_row4_col1066, #T_457a2_row6_col830, #T_457a2_row7_col232, #T_457a2_row7_col952, #T_457a2_row7_col1412, #T_457a2_row8_col1323, #T_457a2_row8_col1342, #T_457a2_row9_col205, #T_457a2_row9_col579, #T_457a2_row9_col925, #T_457a2_row10_col1385, #T_457a2_row12_col1321, #T_457a2_row13_col123, #T_457a2_row13_col163, #T_457a2_row13_col276, #T_457a2_row13_col514, #T_457a2_row13_col996, #T_457a2_row14_col1313, #T_457a2_row15_col588, #T_457a2_row15_col1163, #T_457a2_row15_col1337, #T_457a2_row15_col1379, #T_457a2_row16_col580, #T_457a2_row17_col629, #T_457a2_row17_col695, #T_457a2_row18_col1348, #T_457a2_row19_col17, #T_457a2_row19_col737, #T_457a2_row20_col1165, #T_457a2_row20_col1441, #T_457a2_row21_col610, #T_457a2_row23_col1385, #T_457a2_row24_col1175 {\n",
       "  background-color: #023f64;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col481, #T_457a2_row0_col758, #T_457a2_row0_col780, #T_457a2_row0_col1257, #T_457a2_row1_col140, #T_457a2_row1_col165, #T_457a2_row1_col274, #T_457a2_row1_col362, #T_457a2_row1_col390, #T_457a2_row1_col860, #T_457a2_row1_col885, #T_457a2_row1_col994, #T_457a2_row1_col1082, #T_457a2_row2_col257, #T_457a2_row2_col475, #T_457a2_row2_col568, #T_457a2_row2_col977, #T_457a2_row2_col1250, #T_457a2_row3_col225, #T_457a2_row3_col416, #T_457a2_row3_col477, #T_457a2_row3_col518, #T_457a2_row3_col521, #T_457a2_row3_col587, #T_457a2_row3_col655, #T_457a2_row3_col776, #T_457a2_row3_col927, #T_457a2_row3_col945, #T_457a2_row4_col257, #T_457a2_row4_col299, #T_457a2_row4_col316, #T_457a2_row4_col354, #T_457a2_row4_col483, #T_457a2_row4_col484, #T_457a2_row4_col640, #T_457a2_row4_col848, #T_457a2_row4_col1019, #T_457a2_row4_col1036, #T_457a2_row4_col1290, #T_457a2_row4_col1360, #T_457a2_row5_col109, #T_457a2_row5_col492, #T_457a2_row5_col497, #T_457a2_row5_col585, #T_457a2_row5_col674, #T_457a2_row5_col679, #T_457a2_row5_col1283, #T_457a2_row5_col1342, #T_457a2_row5_col1370, #T_457a2_row6_col59, #T_457a2_row6_col154, #T_457a2_row6_col246, #T_457a2_row6_col392, #T_457a2_row6_col657, #T_457a2_row6_col683, #T_457a2_row6_col836, #T_457a2_row6_col874, #T_457a2_row6_col884, #T_457a2_row6_col966, #T_457a2_row6_col1137, #T_457a2_row6_col1324, #T_457a2_row6_col1375, #T_457a2_row6_col1440, #T_457a2_row7_col53, #T_457a2_row7_col70, #T_457a2_row7_col773, #T_457a2_row7_col790, #T_457a2_row7_col1433, #T_457a2_row8_col407, #T_457a2_row8_col524, #T_457a2_row8_col551, #T_457a2_row8_col1111, #T_457a2_row8_col1261, #T_457a2_row8_col1404, #T_457a2_row9_col74, #T_457a2_row9_col332, #T_457a2_row9_col694, #T_457a2_row9_col794, #T_457a2_row9_col1052, #T_457a2_row9_col1116, #T_457a2_row9_col1413, #T_457a2_row10_col170, #T_457a2_row10_col290, #T_457a2_row10_col326, #T_457a2_row10_col675, #T_457a2_row10_col910, #T_457a2_row10_col1009, #T_457a2_row10_col1291, #T_457a2_row10_col1366, #T_457a2_row11_col63, #T_457a2_row11_col232, #T_457a2_row11_col322, #T_457a2_row11_col777, #T_457a2_row11_col783, #T_457a2_row11_col952, #T_457a2_row11_col1042, #T_457a2_row11_col1125, #T_457a2_row11_col1292, #T_457a2_row11_col1295, #T_457a2_row11_col1369, #T_457a2_row12_col652, #T_457a2_row12_col1181, #T_457a2_row12_col1185, #T_457a2_row12_col1198, #T_457a2_row12_col1215, #T_457a2_row13_col304, #T_457a2_row13_col502, #T_457a2_row13_col1006, #T_457a2_row13_col1216, #T_457a2_row13_col1280, #T_457a2_row14_col95, #T_457a2_row14_col258, #T_457a2_row14_col276, #T_457a2_row14_col367, #T_457a2_row14_col431, #T_457a2_row14_col545, #T_457a2_row14_col560, #T_457a2_row14_col815, #T_457a2_row14_col996, #T_457a2_row14_col1086, #T_457a2_row14_col1247, #T_457a2_row15_col243, #T_457a2_row15_col395, #T_457a2_row15_col463, #T_457a2_row15_col523, #T_457a2_row15_col648, #T_457a2_row15_col1025, #T_457a2_row16_col76, #T_457a2_row16_col151, #T_457a2_row16_col533, #T_457a2_row16_col670, #T_457a2_row16_col703, #T_457a2_row16_col871, #T_457a2_row16_col1138, #T_457a2_row17_col25, #T_457a2_row17_col660, #T_457a2_row17_col745, #T_457a2_row17_col1112, #T_457a2_row17_col1185, #T_457a2_row17_col1224, #T_457a2_row18_col82, #T_457a2_row18_col92, #T_457a2_row18_col146, #T_457a2_row18_col759, #T_457a2_row18_col802, #T_457a2_row18_col812, #T_457a2_row18_col866, #T_457a2_row18_col874, #T_457a2_row18_col1201, #T_457a2_row18_col1210, #T_457a2_row19_col32, #T_457a2_row19_col61, #T_457a2_row19_col128, #T_457a2_row19_col259, #T_457a2_row19_col364, #T_457a2_row19_col752, #T_457a2_row19_col979, #T_457a2_row19_col1174, #T_457a2_row19_col1189, #T_457a2_row20_col85, #T_457a2_row20_col136, #T_457a2_row20_col223, #T_457a2_row20_col318, #T_457a2_row20_col325, #T_457a2_row20_col329, #T_457a2_row20_col552, #T_457a2_row20_col805, #T_457a2_row20_col943, #T_457a2_row20_col1038, #T_457a2_row20_col1045, #T_457a2_row20_col1049, #T_457a2_row21_col25, #T_457a2_row21_col175, #T_457a2_row21_col299, #T_457a2_row21_col489, #T_457a2_row21_col532, #T_457a2_row21_col745, #T_457a2_row21_col895, #T_457a2_row21_col1019, #T_457a2_row21_col1095, #T_457a2_row21_col1257, #T_457a2_row22_col98, #T_457a2_row22_col427, #T_457a2_row22_col432, #T_457a2_row22_col818, #T_457a2_row22_col1271, #T_457a2_row22_col1347, #T_457a2_row22_col1394, #T_457a2_row23_col20, #T_457a2_row23_col36, #T_457a2_row23_col145, #T_457a2_row23_col278, #T_457a2_row23_col646, #T_457a2_row23_col740, #T_457a2_row23_col756, #T_457a2_row23_col865, #T_457a2_row23_col998, #T_457a2_row23_col1296, #T_457a2_row23_col1324, #T_457a2_row24_col38, #T_457a2_row24_col58, #T_457a2_row24_col62, #T_457a2_row24_col103, #T_457a2_row24_col219, #T_457a2_row24_col259, #T_457a2_row24_col778, #T_457a2_row24_col782, #T_457a2_row24_col823, #T_457a2_row24_col877, #T_457a2_row24_col979, #T_457a2_row24_col1109, #T_457a2_row24_col1181 {\n",
       "  background-color: #8eb3d5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col482, #T_457a2_row0_col619, #T_457a2_row0_col869, #T_457a2_row0_col1348, #T_457a2_row1_col36, #T_457a2_row1_col211, #T_457a2_row1_col478, #T_457a2_row3_col524, #T_457a2_row3_col550, #T_457a2_row3_col718, #T_457a2_row3_col1141, #T_457a2_row3_col1324, #T_457a2_row4_col527, #T_457a2_row4_col927, #T_457a2_row4_col1058, #T_457a2_row4_col1340, #T_457a2_row5_col295, #T_457a2_row5_col599, #T_457a2_row5_col1015, #T_457a2_row5_col1263, #T_457a2_row6_col49, #T_457a2_row6_col253, #T_457a2_row6_col420, #T_457a2_row6_col458, #T_457a2_row6_col499, #T_457a2_row6_col680, #T_457a2_row6_col769, #T_457a2_row6_col1279, #T_457a2_row6_col1317, #T_457a2_row7_col1113, #T_457a2_row8_col14, #T_457a2_row8_col227, #T_457a2_row8_col577, #T_457a2_row8_col614, #T_457a2_row8_col621, #T_457a2_row8_col622, #T_457a2_row8_col658, #T_457a2_row8_col716, #T_457a2_row8_col734, #T_457a2_row8_col947, #T_457a2_row8_col1374, #T_457a2_row9_col102, #T_457a2_row9_col117, #T_457a2_row9_col397, #T_457a2_row9_col410, #T_457a2_row9_col483, #T_457a2_row9_col638, #T_457a2_row9_col822, #T_457a2_row9_col837, #T_457a2_row9_col982, #T_457a2_row9_col1103, #T_457a2_row9_col1232, #T_457a2_row9_col1377, #T_457a2_row9_col1403, #T_457a2_row9_col1437, #T_457a2_row10_col99, #T_457a2_row10_col146, #T_457a2_row10_col261, #T_457a2_row10_col295, #T_457a2_row10_col406, #T_457a2_row10_col560, #T_457a2_row10_col571, #T_457a2_row10_col646, #T_457a2_row10_col698, #T_457a2_row10_col819, #T_457a2_row10_col866, #T_457a2_row10_col981, #T_457a2_row10_col1015, #T_457a2_row10_col1416, #T_457a2_row11_col560, #T_457a2_row11_col670, #T_457a2_row11_col821, #T_457a2_row11_col887, #T_457a2_row11_col1169, #T_457a2_row11_col1283, #T_457a2_row11_col1293, #T_457a2_row11_col1417, #T_457a2_row12_col563, #T_457a2_row12_col1376, #T_457a2_row13_col1086, #T_457a2_row13_col1145, #T_457a2_row13_col1166, #T_457a2_row13_col1181, #T_457a2_row14_col48, #T_457a2_row14_col573, #T_457a2_row14_col696, #T_457a2_row15_col9, #T_457a2_row15_col394, #T_457a2_row15_col584, #T_457a2_row15_col729, #T_457a2_row16_col118, #T_457a2_row16_col211, #T_457a2_row16_col239, #T_457a2_row16_col944, #T_457a2_row17_col27, #T_457a2_row17_col124, #T_457a2_row17_col278, #T_457a2_row17_col381, #T_457a2_row17_col844, #T_457a2_row17_col998, #T_457a2_row17_col1008, #T_457a2_row18_col206, #T_457a2_row18_col352, #T_457a2_row18_col424, #T_457a2_row18_col482, #T_457a2_row18_col618, #T_457a2_row18_col926, #T_457a2_row18_col1058, #T_457a2_row19_col10, #T_457a2_row19_col210, #T_457a2_row19_col370, #T_457a2_row19_col450, #T_457a2_row19_col553, #T_457a2_row19_col759, #T_457a2_row19_col821, #T_457a2_row19_col930, #T_457a2_row19_col1058, #T_457a2_row19_col1155, #T_457a2_row20_col200, #T_457a2_row20_col295, #T_457a2_row20_col339, #T_457a2_row20_col423, #T_457a2_row20_col920, #T_457a2_row20_col1059, #T_457a2_row20_col1224, #T_457a2_row21_col118, #T_457a2_row21_col256, #T_457a2_row21_col838, #T_457a2_row21_col863, #T_457a2_row21_col976, #T_457a2_row21_col1067, #T_457a2_row21_col1321, #T_457a2_row22_col185, #T_457a2_row22_col268, #T_457a2_row22_col310, #T_457a2_row22_col333, #T_457a2_row22_col458, #T_457a2_row22_col561, #T_457a2_row22_col565, #T_457a2_row22_col588, #T_457a2_row22_col682, #T_457a2_row22_col700, #T_457a2_row22_col1030, #T_457a2_row22_col1053, #T_457a2_row22_col1084, #T_457a2_row22_col1098, #T_457a2_row22_col1214, #T_457a2_row22_col1253, #T_457a2_row22_col1280, #T_457a2_row22_col1313, #T_457a2_row23_col8, #T_457a2_row23_col178, #T_457a2_row23_col230, #T_457a2_row23_col394, #T_457a2_row23_col488, #T_457a2_row23_col618, #T_457a2_row23_col728, #T_457a2_row23_col772, #T_457a2_row23_col898, #T_457a2_row23_col910, #T_457a2_row23_col950, #T_457a2_row23_col1093, #T_457a2_row23_col1242, #T_457a2_row24_col43, #T_457a2_row24_col208, #T_457a2_row24_col224, #T_457a2_row24_col297, #T_457a2_row24_col332, #T_457a2_row24_col425, #T_457a2_row24_col513, #T_457a2_row24_col596, #T_457a2_row24_col670, #T_457a2_row24_col763, #T_457a2_row24_col928, #T_457a2_row24_col944, #T_457a2_row24_col1052, #T_457a2_row24_col1235 {\n",
       "  background-color: #cdd0e5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col483, #T_457a2_row0_col522, #T_457a2_row0_col636, #T_457a2_row0_col638, #T_457a2_row0_col1272, #T_457a2_row0_col1293, #T_457a2_row1_col221, #T_457a2_row1_col312, #T_457a2_row1_col753, #T_457a2_row1_col941, #T_457a2_row1_col1032, #T_457a2_row1_col1068, #T_457a2_row1_col1345, #T_457a2_row2_col235, #T_457a2_row2_col254, #T_457a2_row2_col336, #T_457a2_row2_col373, #T_457a2_row2_col476, #T_457a2_row2_col494, #T_457a2_row2_col599, #T_457a2_row2_col705, #T_457a2_row2_col955, #T_457a2_row2_col974, #T_457a2_row2_col1294, #T_457a2_row2_col1381, #T_457a2_row3_col208, #T_457a2_row3_col567, #T_457a2_row3_col581, #T_457a2_row3_col644, #T_457a2_row3_col928, #T_457a2_row4_col72, #T_457a2_row4_col481, #T_457a2_row4_col530, #T_457a2_row4_col566, #T_457a2_row4_col605, #T_457a2_row4_col653, #T_457a2_row4_col792, #T_457a2_row4_col1086, #T_457a2_row4_col1192, #T_457a2_row4_col1328, #T_457a2_row4_col1367, #T_457a2_row5_col43, #T_457a2_row5_col448, #T_457a2_row5_col717, #T_457a2_row5_col763, #T_457a2_row5_col899, #T_457a2_row5_col1413, #T_457a2_row5_col1434, #T_457a2_row6_col295, #T_457a2_row6_col564, #T_457a2_row6_col595, #T_457a2_row6_col960, #T_457a2_row6_col1131, #T_457a2_row6_col1238, #T_457a2_row6_col1269, #T_457a2_row6_col1311, #T_457a2_row6_col1328, #T_457a2_row6_col1335, #T_457a2_row6_col1412, #T_457a2_row7_col28, #T_457a2_row7_col661, #T_457a2_row7_col748, #T_457a2_row7_col1164, #T_457a2_row8_col314, #T_457a2_row8_col455, #T_457a2_row8_col1034, #T_457a2_row8_col1327, #T_457a2_row8_col1397, #T_457a2_row9_col11, #T_457a2_row9_col163, #T_457a2_row9_col418, #T_457a2_row9_col731, #T_457a2_row9_col883, #T_457a2_row9_col884, #T_457a2_row10_col30, #T_457a2_row10_col750, #T_457a2_row10_col853, #T_457a2_row10_col1186, #T_457a2_row10_col1369, #T_457a2_row11_col149, #T_457a2_row11_col637, #T_457a2_row11_col1080, #T_457a2_row12_col188, #T_457a2_row12_col469, #T_457a2_row12_col480, #T_457a2_row12_col594, #T_457a2_row12_col908, #T_457a2_row12_col958, #T_457a2_row12_col1258, #T_457a2_row12_col1334, #T_457a2_row13_col699, #T_457a2_row13_col1369, #T_457a2_row14_col137, #T_457a2_row14_col261, #T_457a2_row14_col614, #T_457a2_row14_col625, #T_457a2_row14_col661, #T_457a2_row14_col857, #T_457a2_row14_col981, #T_457a2_row14_col1104, #T_457a2_row14_col1441, #T_457a2_row15_col29, #T_457a2_row15_col425, #T_457a2_row15_col596, #T_457a2_row15_col749, #T_457a2_row15_col992, #T_457a2_row15_col1224, #T_457a2_row16_col479, #T_457a2_row17_col179, #T_457a2_row17_col218, #T_457a2_row17_col470, #T_457a2_row17_col670, #T_457a2_row17_col899, #T_457a2_row17_col938, #T_457a2_row17_col1183, #T_457a2_row17_col1390, #T_457a2_row18_col140, #T_457a2_row18_col168, #T_457a2_row18_col235, #T_457a2_row18_col320, #T_457a2_row18_col457, #T_457a2_row18_col679, #T_457a2_row18_col860, #T_457a2_row18_col888, #T_457a2_row18_col955, #T_457a2_row18_col1040, #T_457a2_row18_col1130, #T_457a2_row18_col1214, #T_457a2_row18_col1271, #T_457a2_row19_col314, #T_457a2_row19_col318, #T_457a2_row19_col432, #T_457a2_row19_col598, #T_457a2_row19_col1011, #T_457a2_row19_col1034, #T_457a2_row19_col1038, #T_457a2_row19_col1161, #T_457a2_row19_col1261, #T_457a2_row19_col1429, #T_457a2_row19_col1438, #T_457a2_row20_col239, #T_457a2_row20_col564, #T_457a2_row20_col577, #T_457a2_row20_col635, #T_457a2_row20_col959, #T_457a2_row20_col1294, #T_457a2_row20_col1321, #T_457a2_row21_col81, #T_457a2_row21_col153, #T_457a2_row21_col718, #T_457a2_row21_col801, #T_457a2_row21_col873, #T_457a2_row21_col1238, #T_457a2_row22_col1399, #T_457a2_row23_col188, #T_457a2_row23_col354, #T_457a2_row23_col375, #T_457a2_row23_col388, #T_457a2_row23_col564, #T_457a2_row23_col908, #T_457a2_row23_col1074, #T_457a2_row23_col1087, #T_457a2_row23_col1196, #T_457a2_row23_col1326, #T_457a2_row23_col1397, #T_457a2_row24_col199, #T_457a2_row24_col841, #T_457a2_row24_col919, #T_457a2_row24_col1067, #T_457a2_row24_col1189 {\n",
       "  background-color: #75a9cf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col493, #T_457a2_row0_col567, #T_457a2_row1_col152, #T_457a2_row1_col387, #T_457a2_row1_col872, #T_457a2_row2_col338, #T_457a2_row2_col644, #T_457a2_row2_col837, #T_457a2_row2_col1058, #T_457a2_row2_col1094, #T_457a2_row3_col142, #T_457a2_row3_col773, #T_457a2_row3_col1099, #T_457a2_row4_col220, #T_457a2_row4_col489, #T_457a2_row4_col555, #T_457a2_row4_col940, #T_457a2_row4_col970, #T_457a2_row4_col1228, #T_457a2_row5_col86, #T_457a2_row5_col157, #T_457a2_row5_col466, #T_457a2_row5_col478, #T_457a2_row5_col508, #T_457a2_row5_col543, #T_457a2_row5_col664, #T_457a2_row5_col690, #T_457a2_row5_col806, #T_457a2_row5_col887, #T_457a2_row6_col367, #T_457a2_row6_col387, #T_457a2_row6_col436, #T_457a2_row6_col563, #T_457a2_row6_col623, #T_457a2_row6_col636, #T_457a2_row6_col832, #T_457a2_row6_col1103, #T_457a2_row6_col1249, #T_457a2_row6_col1266, #T_457a2_row6_col1276, #T_457a2_row7_col196, #T_457a2_row7_col916, #T_457a2_row8_col374, #T_457a2_row8_col547, #T_457a2_row8_col743, #T_457a2_row8_col784, #T_457a2_row9_col385, #T_457a2_row9_col423, #T_457a2_row9_col493, #T_457a2_row9_col639, #T_457a2_row9_col743, #T_457a2_row9_col1014, #T_457a2_row9_col1303, #T_457a2_row9_col1349, #T_457a2_row10_col125, #T_457a2_row10_col233, #T_457a2_row10_col417, #T_457a2_row10_col845, #T_457a2_row10_col953, #T_457a2_row10_col1093, #T_457a2_row10_col1180, #T_457a2_row10_col1297, #T_457a2_row11_col419, #T_457a2_row11_col468, #T_457a2_row11_col667, #T_457a2_row11_col1415, #T_457a2_row12_col28, #T_457a2_row12_col91, #T_457a2_row12_col237, #T_457a2_row12_col395, #T_457a2_row12_col456, #T_457a2_row12_col551, #T_457a2_row12_col612, #T_457a2_row12_col723, #T_457a2_row12_col748, #T_457a2_row12_col811, #T_457a2_row12_col957, #T_457a2_row13_col505, #T_457a2_row14_col316, #T_457a2_row14_col336, #T_457a2_row14_col377, #T_457a2_row14_col392, #T_457a2_row14_col528, #T_457a2_row14_col687, #T_457a2_row14_col709, #T_457a2_row14_col742, #T_457a2_row14_col940, #T_457a2_row14_col1056, #T_457a2_row15_col73, #T_457a2_row15_col354, #T_457a2_row15_col641, #T_457a2_row15_col793, #T_457a2_row15_col1074, #T_457a2_row16_col91, #T_457a2_row16_col140, #T_457a2_row16_col433, #T_457a2_row16_col469, #T_457a2_row16_col619, #T_457a2_row16_col831, #T_457a2_row16_col860, #T_457a2_row17_col253, #T_457a2_row17_col654, #T_457a2_row17_col973, #T_457a2_row18_col133, #T_457a2_row18_col226, #T_457a2_row18_col227, #T_457a2_row18_col386, #T_457a2_row18_col853, #T_457a2_row18_col946, #T_457a2_row18_col947, #T_457a2_row18_col1204, #T_457a2_row18_col1263, #T_457a2_row18_col1430, #T_457a2_row19_col7, #T_457a2_row19_col488, #T_457a2_row19_col498, #T_457a2_row19_col530, #T_457a2_row19_col727, #T_457a2_row19_col1073, #T_457a2_row20_col100, #T_457a2_row20_col198, #T_457a2_row20_col232, #T_457a2_row20_col708, #T_457a2_row20_col820, #T_457a2_row20_col952, #T_457a2_row20_col961, #T_457a2_row20_col990, #T_457a2_row20_col1429, #T_457a2_row21_col52, #T_457a2_row21_col113, #T_457a2_row21_col115, #T_457a2_row21_col172, #T_457a2_row21_col294, #T_457a2_row21_col385, #T_457a2_row21_col389, #T_457a2_row21_col497, #T_457a2_row21_col772, #T_457a2_row21_col835, #T_457a2_row21_col892, #T_457a2_row21_col968, #T_457a2_row21_col1110, #T_457a2_row21_col1174, #T_457a2_row21_col1247, #T_457a2_row22_col606, #T_457a2_row22_col612, #T_457a2_row22_col624, #T_457a2_row22_col1316, #T_457a2_row22_col1368, #T_457a2_row23_col33, #T_457a2_row23_col440, #T_457a2_row23_col696, #T_457a2_row23_col753, #T_457a2_row23_col1185, #T_457a2_row24_col149, #T_457a2_row24_col510, #T_457a2_row24_col681, #T_457a2_row24_col822, #T_457a2_row24_col869, #T_457a2_row24_col1443 {\n",
       "  background-color: #c0c9e2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col511, #T_457a2_row0_col550, #T_457a2_row0_col1124, #T_457a2_row0_col1243, #T_457a2_row0_col1394, #T_457a2_row1_col24, #T_457a2_row1_col125, #T_457a2_row1_col365, #T_457a2_row1_col845, #T_457a2_row1_col1018, #T_457a2_row2_col75, #T_457a2_row2_col92, #T_457a2_row2_col183, #T_457a2_row2_col481, #T_457a2_row2_col812, #T_457a2_row2_col1161, #T_457a2_row2_col1239, #T_457a2_row2_col1319, #T_457a2_row3_col409, #T_457a2_row3_col648, #T_457a2_row3_col1005, #T_457a2_row3_col1340, #T_457a2_row3_col1398, #T_457a2_row4_col321, #T_457a2_row4_col670, #T_457a2_row4_col706, #T_457a2_row4_col891, #T_457a2_row4_col1041, #T_457a2_row4_col1069, #T_457a2_row5_col319, #T_457a2_row5_col882, #T_457a2_row5_col1039, #T_457a2_row5_col1385, #T_457a2_row7_col141, #T_457a2_row7_col401, #T_457a2_row7_col428, #T_457a2_row7_col824, #T_457a2_row7_col861, #T_457a2_row7_col1142, #T_457a2_row7_col1163, #T_457a2_row7_col1279, #T_457a2_row7_col1326, #T_457a2_row8_col674, #T_457a2_row8_col1116, #T_457a2_row8_col1265, #T_457a2_row8_col1307, #T_457a2_row8_col1441, #T_457a2_row9_col575, #T_457a2_row9_col906, #T_457a2_row9_col1157, #T_457a2_row9_col1218, #T_457a2_row9_col1280, #T_457a2_row9_col1344, #T_457a2_row9_col1351, #T_457a2_row10_col710, #T_457a2_row11_col376, #T_457a2_row11_col739, #T_457a2_row12_col82, #T_457a2_row12_col464, #T_457a2_row12_col609, #T_457a2_row12_col681, #T_457a2_row12_col802, #T_457a2_row12_col1276, #T_457a2_row13_col751, #T_457a2_row14_col618, #T_457a2_row14_col1223, #T_457a2_row14_col1376, #T_457a2_row15_col331, #T_457a2_row15_col899, #T_457a2_row15_col1051, #T_457a2_row15_col1130, #T_457a2_row15_col1238, #T_457a2_row15_col1362, #T_457a2_row16_col1275, #T_457a2_row17_col160, #T_457a2_row17_col450, #T_457a2_row17_col452, #T_457a2_row17_col1107, #T_457a2_row17_col1121, #T_457a2_row17_col1229, #T_457a2_row17_col1385, #T_457a2_row17_col1386, #T_457a2_row18_col1171, #T_457a2_row19_col1027, #T_457a2_row19_col1265, #T_457a2_row19_col1301, #T_457a2_row19_col1362, #T_457a2_row20_col94, #T_457a2_row20_col192, #T_457a2_row20_col671, #T_457a2_row20_col814, #T_457a2_row20_col912, #T_457a2_row20_col1152, #T_457a2_row20_col1351, #T_457a2_row20_col1369, #T_457a2_row21_col124, #T_457a2_row21_col134, #T_457a2_row21_col242, #T_457a2_row21_col545, #T_457a2_row21_col844, #T_457a2_row21_col854, #T_457a2_row21_col1164, #T_457a2_row22_col435, #T_457a2_row22_col1322, #T_457a2_row23_col185, #T_457a2_row23_col905, #T_457a2_row23_col1255, #T_457a2_row23_col1336, #T_457a2_row23_col1369, #T_457a2_row23_col1436 {\n",
       "  background-color: #0f76b3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col558, #T_457a2_row0_col951, #T_457a2_row0_col1284, #T_457a2_row1_col494, #T_457a2_row1_col570, #T_457a2_row1_col813, #T_457a2_row1_col1091, #T_457a2_row1_col1170, #T_457a2_row2_col113, #T_457a2_row2_col873, #T_457a2_row2_col1133, #T_457a2_row2_col1378, #T_457a2_row3_col139, #T_457a2_row3_col439, #T_457a2_row3_col534, #T_457a2_row3_col859, #T_457a2_row3_col1169, #T_457a2_row3_col1342, #T_457a2_row3_col1403, #T_457a2_row4_col163, #T_457a2_row4_col182, #T_457a2_row4_col902, #T_457a2_row4_col1047, #T_457a2_row4_col1439, #T_457a2_row5_col355, #T_457a2_row5_col389, #T_457a2_row5_col1075, #T_457a2_row5_col1276, #T_457a2_row6_col18, #T_457a2_row6_col254, #T_457a2_row6_col738, #T_457a2_row6_col974, #T_457a2_row6_col1047, #T_457a2_row6_col1371, #T_457a2_row7_col456, #T_457a2_row7_col602, #T_457a2_row7_col797, #T_457a2_row7_col1071, #T_457a2_row7_col1130, #T_457a2_row7_col1139, #T_457a2_row9_col18, #T_457a2_row9_col228, #T_457a2_row9_col738, #T_457a2_row9_col948, #T_457a2_row9_col1170, #T_457a2_row10_col244, #T_457a2_row10_col542, #T_457a2_row10_col964, #T_457a2_row11_col272, #T_457a2_row11_col315, #T_457a2_row11_col992, #T_457a2_row11_col1035, #T_457a2_row11_col1329, #T_457a2_row12_col1325, #T_457a2_row13_col341, #T_457a2_row13_col507, #T_457a2_row13_col600, #T_457a2_row13_col717, #T_457a2_row13_col1186, #T_457a2_row13_col1343, #T_457a2_row13_col1375, #T_457a2_row14_col433, #T_457a2_row14_col453, #T_457a2_row14_col1218, #T_457a2_row14_col1277, #T_457a2_row15_col189, #T_457a2_row15_col343, #T_457a2_row15_col504, #T_457a2_row15_col674, #T_457a2_row15_col909, #T_457a2_row15_col1063, #T_457a2_row15_col1201, #T_457a2_row15_col1411, #T_457a2_row17_col248, #T_457a2_row17_col425, #T_457a2_row17_col968, #T_457a2_row19_col811, #T_457a2_row20_col82, #T_457a2_row20_col244, #T_457a2_row20_col375, #T_457a2_row20_col597, #T_457a2_row20_col802, #T_457a2_row20_col964, #T_457a2_row21_col692, #T_457a2_row21_col1011, #T_457a2_row23_col182, #T_457a2_row23_col902, #T_457a2_row23_col1203, #T_457a2_row24_col267, #T_457a2_row24_col987, #T_457a2_row24_col1357 {\n",
       "  background-color: #056aa6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col563, #T_457a2_row0_col1006, #T_457a2_row0_col1193, #T_457a2_row1_col323, #T_457a2_row1_col555, #T_457a2_row1_col1043, #T_457a2_row1_col1048, #T_457a2_row2_col138, #T_457a2_row2_col378, #T_457a2_row2_col858, #T_457a2_row2_col1190, #T_457a2_row3_col230, #T_457a2_row4_col1115, #T_457a2_row4_col1202, #T_457a2_row4_col1219, #T_457a2_row4_col1273, #T_457a2_row4_col1357, #T_457a2_row5_col108, #T_457a2_row5_col381, #T_457a2_row5_col472, #T_457a2_row5_col480, #T_457a2_row5_col506, #T_457a2_row5_col624, #T_457a2_row5_col1082, #T_457a2_row5_col1087, #T_457a2_row6_col203, #T_457a2_row6_col372, #T_457a2_row6_col653, #T_457a2_row6_col935, #T_457a2_row6_col1347, #T_457a2_row8_col359, #T_457a2_row8_col388, #T_457a2_row8_col539, #T_457a2_row8_col579, #T_457a2_row8_col1085, #T_457a2_row8_col1277, #T_457a2_row9_col292, #T_457a2_row9_col396, #T_457a2_row9_col460, #T_457a2_row9_col577, #T_457a2_row9_col832, #T_457a2_row9_col1321, #T_457a2_row10_col156, #T_457a2_row10_col203, #T_457a2_row10_col383, #T_457a2_row10_col498, #T_457a2_row10_col716, #T_457a2_row10_col829, #T_457a2_row10_col876, #T_457a2_row10_col923, #T_457a2_row10_col1004, #T_457a2_row10_col1110, #T_457a2_row11_col129, #T_457a2_row11_col453, #T_457a2_row11_col550, #T_457a2_row11_col849, #T_457a2_row11_col878, #T_457a2_row11_col1136, #T_457a2_row11_col1221, #T_457a2_row11_col1244, #T_457a2_row12_col79, #T_457a2_row12_col297, #T_457a2_row12_col441, #T_457a2_row12_col1017, #T_457a2_row12_col1246, #T_457a2_row12_col1354, #T_457a2_row13_col459, #T_457a2_row13_col462, #T_457a2_row13_col1176, #T_457a2_row14_col110, #T_457a2_row14_col198, #T_457a2_row14_col227, #T_457a2_row14_col279, #T_457a2_row14_col281, #T_457a2_row14_col723, #T_457a2_row14_col838, #T_457a2_row14_col852, #T_457a2_row14_col897, #T_457a2_row14_col918, #T_457a2_row14_col947, #T_457a2_row14_col999, #T_457a2_row14_col1001, #T_457a2_row14_col1272, #T_457a2_row15_col46, #T_457a2_row15_col553, #T_457a2_row15_col766, #T_457a2_row15_col844, #T_457a2_row16_col116, #T_457a2_row16_col229, #T_457a2_row16_col493, #T_457a2_row16_col701, #T_457a2_row16_col836, #T_457a2_row16_col850, #T_457a2_row16_col949, #T_457a2_row16_col1371, #T_457a2_row17_col1234, #T_457a2_row18_col189, #T_457a2_row18_col213, #T_457a2_row18_col909, #T_457a2_row18_col933, #T_457a2_row18_col1262, #T_457a2_row18_col1269, #T_457a2_row19_col56, #T_457a2_row19_col159, #T_457a2_row19_col449, #T_457a2_row19_col468, #T_457a2_row19_col619, #T_457a2_row19_col629, #T_457a2_row19_col1023, #T_457a2_row20_col228, #T_457a2_row20_col556, #T_457a2_row20_col558, #T_457a2_row20_col571, #T_457a2_row21_col142, #T_457a2_row21_col257, #T_457a2_row21_col314, #T_457a2_row21_col862, #T_457a2_row21_col1034, #T_457a2_row21_col1399, #T_457a2_row22_col69, #T_457a2_row22_col144, #T_457a2_row22_col156, #T_457a2_row22_col372, #T_457a2_row22_col376, #T_457a2_row22_col521, #T_457a2_row22_col548, #T_457a2_row22_col789, #T_457a2_row22_col864, #T_457a2_row22_col1108, #T_457a2_row22_col1258, #T_457a2_row22_col1321, #T_457a2_row23_col122, #T_457a2_row23_col157, #T_457a2_row23_col217, #T_457a2_row23_col244, #T_457a2_row23_col401, #T_457a2_row23_col419, #T_457a2_row23_col601, #T_457a2_row23_col842, #T_457a2_row23_col964, #T_457a2_row23_col1305, #T_457a2_row23_col1354, #T_457a2_row24_col434, #T_457a2_row24_col512, #T_457a2_row24_col520, #T_457a2_row24_col620, #T_457a2_row24_col1159, #T_457a2_row24_col1162, #T_457a2_row24_col1229, #T_457a2_row24_col1240 {\n",
       "  background-color: #c9cee4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col576, #T_457a2_row1_col297, #T_457a2_row1_col304, #T_457a2_row1_col1017, #T_457a2_row2_col66, #T_457a2_row2_col460, #T_457a2_row2_col550, #T_457a2_row2_col786, #T_457a2_row2_col1029, #T_457a2_row3_col388, #T_457a2_row3_col448, #T_457a2_row4_col503, #T_457a2_row4_col666, #T_457a2_row4_col1180, #T_457a2_row4_col1181, #T_457a2_row5_col74, #T_457a2_row5_col228, #T_457a2_row5_col421, #T_457a2_row5_col474, #T_457a2_row5_col646, #T_457a2_row5_col686, #T_457a2_row5_col794, #T_457a2_row5_col1144, #T_457a2_row5_col1321, #T_457a2_row6_col206, #T_457a2_row6_col288, #T_457a2_row6_col508, #T_457a2_row6_col545, #T_457a2_row6_col1148, #T_457a2_row6_col1420, #T_457a2_row6_col1442, #T_457a2_row7_col1141, #T_457a2_row8_col533, #T_457a2_row8_col1021, #T_457a2_row9_col76, #T_457a2_row9_col465, #T_457a2_row9_col626, #T_457a2_row9_col796, #T_457a2_row9_col1383, #T_457a2_row10_col108, #T_457a2_row10_col151, #T_457a2_row10_col176, #T_457a2_row10_col378, #T_457a2_row10_col401, #T_457a2_row10_col452, #T_457a2_row10_col658, #T_457a2_row10_col828, #T_457a2_row10_col871, #T_457a2_row11_col524, #T_457a2_row11_col1149, #T_457a2_row11_col1238, #T_457a2_row12_col1148, #T_457a2_row13_col1271, #T_457a2_row14_col24, #T_457a2_row14_col77, #T_457a2_row14_col143, #T_457a2_row14_col324, #T_457a2_row14_col646, #T_457a2_row14_col659, #T_457a2_row14_col692, #T_457a2_row14_col797, #T_457a2_row14_col863, #T_457a2_row14_col946, #T_457a2_row14_col960, #T_457a2_row14_col1044, #T_457a2_row15_col195, #T_457a2_row15_col915, #T_457a2_row16_col2, #T_457a2_row16_col556, #T_457a2_row16_col562, #T_457a2_row16_col563, #T_457a2_row16_col889, #T_457a2_row16_col1021, #T_457a2_row16_col1048, #T_457a2_row16_col1245, #T_457a2_row16_col1390, #T_457a2_row17_col555, #T_457a2_row18_col113, #T_457a2_row18_col418, #T_457a2_row18_col430, #T_457a2_row18_col552, #T_457a2_row18_col584, #T_457a2_row18_col611, #T_457a2_row18_col661, #T_457a2_row18_col682, #T_457a2_row18_col698, #T_457a2_row18_col833, #T_457a2_row20_col160, #T_457a2_row20_col254, #T_457a2_row20_col880, #T_457a2_row20_col882, #T_457a2_row20_col974, #T_457a2_row21_col66, #T_457a2_row21_col320, #T_457a2_row21_col375, #T_457a2_row21_col439, #T_457a2_row21_col443, #T_457a2_row21_col460, #T_457a2_row21_col650, #T_457a2_row21_col786, #T_457a2_row21_col891, #T_457a2_row21_col902, #T_457a2_row21_col1040, #T_457a2_row21_col1185, #T_457a2_row22_col111, #T_457a2_row22_col115, #T_457a2_row22_col298, #T_457a2_row22_col316, #T_457a2_row22_col638, #T_457a2_row22_col761, #T_457a2_row22_col831, #T_457a2_row22_col835, #T_457a2_row22_col1036, #T_457a2_row22_col1267, #T_457a2_row23_col351, #T_457a2_row23_col392, #T_457a2_row23_col472, #T_457a2_row23_col539, #T_457a2_row23_col575, #T_457a2_row23_col595, #T_457a2_row23_col673, #T_457a2_row23_col1122, #T_457a2_row23_col1166, #T_457a2_row23_col1274, #T_457a2_row24_col172, #T_457a2_row24_col502, #T_457a2_row24_col612, #T_457a2_row24_col892, #T_457a2_row24_col931, #T_457a2_row24_col1237, #T_457a2_row24_col1268, #T_457a2_row24_col1322, #T_457a2_row24_col1406 {\n",
       "  background-color: #dbdaeb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col578, #T_457a2_row0_col1128, #T_457a2_row0_col1238, #T_457a2_row0_col1431, #T_457a2_row1_col178, #T_457a2_row1_col898, #T_457a2_row2_col27, #T_457a2_row2_col117, #T_457a2_row2_col202, #T_457a2_row2_col208, #T_457a2_row2_col264, #T_457a2_row2_col349, #T_457a2_row2_col747, #T_457a2_row2_col922, #T_457a2_row2_col928, #T_457a2_row2_col984, #T_457a2_row2_col990, #T_457a2_row2_col1069, #T_457a2_row3_col53, #T_457a2_row3_col103, #T_457a2_row3_col122, #T_457a2_row3_col823, #T_457a2_row3_col842, #T_457a2_row3_col862, #T_457a2_row4_col92, #T_457a2_row4_col97, #T_457a2_row4_col115, #T_457a2_row4_col200, #T_457a2_row4_col586, #T_457a2_row4_col660, #T_457a2_row4_col812, #T_457a2_row4_col817, #T_457a2_row4_col920, #T_457a2_row4_col1260, #T_457a2_row5_col38, #T_457a2_row5_col167, #T_457a2_row5_col207, #T_457a2_row5_col367, #T_457a2_row5_col457, #T_457a2_row5_col460, #T_457a2_row5_col618, #T_457a2_row5_col758, #T_457a2_row5_col1442, #T_457a2_row6_col118, #T_457a2_row6_col148, #T_457a2_row6_col615, #T_457a2_row6_col706, #T_457a2_row6_col784, #T_457a2_row6_col838, #T_457a2_row6_col868, #T_457a2_row6_col1272, #T_457a2_row6_col1356, #T_457a2_row6_col1359, #T_457a2_row7_col27, #T_457a2_row7_col739, #T_457a2_row7_col747, #T_457a2_row7_col1428, #T_457a2_row8_col64, #T_457a2_row8_col155, #T_457a2_row8_col180, #T_457a2_row8_col217, #T_457a2_row8_col605, #T_457a2_row8_col667, #T_457a2_row8_col900, #T_457a2_row8_col1247, #T_457a2_row9_col41, #T_457a2_row9_col294, #T_457a2_row9_col459, #T_457a2_row9_col529, #T_457a2_row9_col756, #T_457a2_row9_col761, #T_457a2_row9_col1340, #T_457a2_row9_col1364, #T_457a2_row10_col73, #T_457a2_row10_col82, #T_457a2_row10_col152, #T_457a2_row10_col208, #T_457a2_row10_col372, #T_457a2_row10_col501, #T_457a2_row10_col761, #T_457a2_row10_col793, #T_457a2_row10_col802, #T_457a2_row10_col872, #T_457a2_row10_col1156, #T_457a2_row10_col1168, #T_457a2_row10_col1341, #T_457a2_row11_col261, #T_457a2_row11_col403, #T_457a2_row11_col416, #T_457a2_row11_col434, #T_457a2_row11_col482, #T_457a2_row11_col536, #T_457a2_row11_col629, #T_457a2_row11_col981, #T_457a2_row11_col1120, #T_457a2_row11_col1187, #T_457a2_row12_col547, #T_457a2_row12_col562, #T_457a2_row12_col610, #T_457a2_row12_col926, #T_457a2_row13_col476, #T_457a2_row14_col22, #T_457a2_row14_col43, #T_457a2_row14_col220, #T_457a2_row14_col355, #T_457a2_row14_col763, #T_457a2_row14_col1070, #T_457a2_row14_col1075, #T_457a2_row15_col97, #T_457a2_row15_col593, #T_457a2_row15_col817, #T_457a2_row16_col386, #T_457a2_row16_col584, #T_457a2_row16_col1112, #T_457a2_row16_col1257, #T_457a2_row16_col1292, #T_457a2_row17_col57, #T_457a2_row17_col170, #T_457a2_row17_col219, #T_457a2_row17_col477, #T_457a2_row17_col557, #T_457a2_row17_col567, #T_457a2_row17_col777, #T_457a2_row17_col890, #T_457a2_row17_col939, #T_457a2_row17_col1372, #T_457a2_row18_col61, #T_457a2_row18_col75, #T_457a2_row18_col100, #T_457a2_row18_col306, #T_457a2_row18_col378, #T_457a2_row18_col389, #T_457a2_row18_col403, #T_457a2_row18_col416, #T_457a2_row18_col795, #T_457a2_row18_col820, #T_457a2_row18_col1128, #T_457a2_row19_col96, #T_457a2_row19_col153, #T_457a2_row19_col347, #T_457a2_row19_col391, #T_457a2_row19_col816, #T_457a2_row19_col873, #T_457a2_row20_col241, #T_457a2_row20_col270, #T_457a2_row20_col337, #T_457a2_row20_col413, #T_457a2_row20_col1057, #T_457a2_row20_col1148, #T_457a2_row21_col107, #T_457a2_row21_col112, #T_457a2_row21_col229, #T_457a2_row21_col248, #T_457a2_row21_col279, #T_457a2_row21_col300, #T_457a2_row21_col612, #T_457a2_row21_col832, #T_457a2_row21_col949, #T_457a2_row21_col999, #T_457a2_row21_col1020, #T_457a2_row21_col1384, #T_457a2_row22_col61, #T_457a2_row22_col62, #T_457a2_row22_col170, #T_457a2_row22_col401, #T_457a2_row22_col594, #T_457a2_row22_col670, #T_457a2_row22_col1135, #T_457a2_row22_col1146, #T_457a2_row22_col1386, #T_457a2_row23_col24, #T_457a2_row23_col208, #T_457a2_row23_col744, #T_457a2_row23_col928, #T_457a2_row23_col1094, #T_457a2_row23_col1118, #T_457a2_row23_col1149, #T_457a2_row24_col97, #T_457a2_row24_col102, #T_457a2_row24_col310, #T_457a2_row24_col328, #T_457a2_row24_col352, #T_457a2_row24_col357, #T_457a2_row24_col442, #T_457a2_row24_col613, #T_457a2_row24_col672, #T_457a2_row24_col709, #T_457a2_row24_col817, #T_457a2_row24_col899, #T_457a2_row24_col1030, #T_457a2_row24_col1048, #T_457a2_row24_col1072, #T_457a2_row24_col1077, #T_457a2_row24_col1217, #T_457a2_row24_col1258 {\n",
       "  background-color: #c1cae2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col587, #T_457a2_row0_col1133, #T_457a2_row1_col895, #T_457a2_row1_col1376, #T_457a2_row2_col260, #T_457a2_row2_col356, #T_457a2_row2_col980, #T_457a2_row2_col1076, #T_457a2_row3_col271, #T_457a2_row3_col444, #T_457a2_row3_col1212, #T_457a2_row4_col425, #T_457a2_row5_col564, #T_457a2_row5_col1280, #T_457a2_row5_col1348, #T_457a2_row7_col131, #T_457a2_row7_col389, #T_457a2_row7_col506, #T_457a2_row7_col851, #T_457a2_row8_col1385, #T_457a2_row9_col582, #T_457a2_row9_col1295, #T_457a2_row13_col438, #T_457a2_row13_col670, #T_457a2_row13_col1195, #T_457a2_row14_col454, #T_457a2_row14_col1146, #T_457a2_row14_col1233, #T_457a2_row15_col298, #T_457a2_row15_col521, #T_457a2_row15_col1138, #T_457a2_row15_col1355, #T_457a2_row17_col1219, #T_457a2_row20_col1371 {\n",
       "  background-color: #034267;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col593, #T_457a2_row1_col566, #T_457a2_row1_col1015, #T_457a2_row3_col158, #T_457a2_row3_col878, #T_457a2_row3_col1219, #T_457a2_row3_col1441, #T_457a2_row4_col573, #T_457a2_row4_col704, #T_457a2_row4_col1166, #T_457a2_row5_col197, #T_457a2_row5_col243, #T_457a2_row6_col12, #T_457a2_row6_col442, #T_457a2_row6_col459, #T_457a2_row6_col696, #T_457a2_row6_col732, #T_457a2_row6_col1268, #T_457a2_row6_col1431, #T_457a2_row8_col229, #T_457a2_row8_col292, #T_457a2_row8_col349, #T_457a2_row8_col949, #T_457a2_row8_col967, #T_457a2_row9_col1208, #T_457a2_row10_col387, #T_457a2_row11_col607, #T_457a2_row11_col1400, #T_457a2_row11_col1412, #T_457a2_row11_col1414, #T_457a2_row12_col308, #T_457a2_row12_col1028, #T_457a2_row13_col1147, #T_457a2_row14_col603, #T_457a2_row14_col795, #T_457a2_row15_col28, #T_457a2_row15_col42, #T_457a2_row16_col29, #T_457a2_row16_col113, #T_457a2_row16_col431, #T_457a2_row16_col608, #T_457a2_row16_col627, #T_457a2_row16_col718, #T_457a2_row16_col1332, #T_457a2_row17_col653, #T_457a2_row17_col658, #T_457a2_row17_col687, #T_457a2_row17_col1246, #T_457a2_row18_col653, #T_457a2_row19_col328, #T_457a2_row19_col662, #T_457a2_row19_col1048, #T_457a2_row20_col367, #T_457a2_row21_col423, #T_457a2_row21_col549, #T_457a2_row21_col675, #T_457a2_row21_col903, #T_457a2_row21_col1374, #T_457a2_row22_col48, #T_457a2_row22_col499, #T_457a2_row22_col768, #T_457a2_row22_col772, #T_457a2_row22_col1239, #T_457a2_row22_col1268, #T_457a2_row22_col1421, #T_457a2_row23_col443, #T_457a2_row23_col465, #T_457a2_row23_col604, #T_457a2_row23_col657, #T_457a2_row23_col704, #T_457a2_row23_col914, #T_457a2_row23_col958, #T_457a2_row23_col1264, #T_457a2_row24_col336, #T_457a2_row24_col555, #T_457a2_row24_col761, #T_457a2_row24_col1056, #T_457a2_row24_col1140 {\n",
       "  background-color: #efe9f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col604, #T_457a2_row0_col606, #T_457a2_row0_col787, #T_457a2_row0_col1157, #T_457a2_row0_col1163, #T_457a2_row0_col1303, #T_457a2_row1_col1358, #T_457a2_row2_col19, #T_457a2_row2_col1089, #T_457a2_row2_col1212, #T_457a2_row2_col1276, #T_457a2_row3_col455, #T_457a2_row3_col549, #T_457a2_row3_col639, #T_457a2_row3_col1097, #T_457a2_row3_col1147, #T_457a2_row4_col504, #T_457a2_row4_col514, #T_457a2_row4_col678, #T_457a2_row5_col145, #T_457a2_row5_col865, #T_457a2_row5_col1232, #T_457a2_row5_col1290, #T_457a2_row6_col238, #T_457a2_row6_col454, #T_457a2_row6_col958, #T_457a2_row7_col186, #T_457a2_row7_col290, #T_457a2_row7_col315, #T_457a2_row7_col664, #T_457a2_row7_col723, #T_457a2_row7_col1010, #T_457a2_row7_col1035, #T_457a2_row7_col1283, #T_457a2_row7_col1310, #T_457a2_row7_col1317, #T_457a2_row8_col1117, #T_457a2_row8_col1222, #T_457a2_row8_col1238, #T_457a2_row8_col1359, #T_457a2_row8_col1421, #T_457a2_row8_col1425, #T_457a2_row9_col34, #T_457a2_row9_col491, #T_457a2_row9_col600, #T_457a2_row9_col754, #T_457a2_row9_col1342, #T_457a2_row10_col1188, #T_457a2_row11_col183, #T_457a2_row11_col276, #T_457a2_row11_col903, #T_457a2_row11_col939, #T_457a2_row11_col996, #T_457a2_row12_col60, #T_457a2_row12_col444, #T_457a2_row12_col780, #T_457a2_row12_col1256, #T_457a2_row12_col1425, #T_457a2_row13_col161, #T_457a2_row13_col222, #T_457a2_row13_col422, #T_457a2_row13_col580, #T_457a2_row13_col651, #T_457a2_row13_col881, #T_457a2_row13_col926, #T_457a2_row13_col942, #T_457a2_row15_col110, #T_457a2_row15_col239, #T_457a2_row15_col438, #T_457a2_row15_col614, #T_457a2_row15_col1198, #T_457a2_row15_col1371, #T_457a2_row15_col1383, #T_457a2_row15_col1440, #T_457a2_row16_col843, #T_457a2_row17_col130, #T_457a2_row17_col788, #T_457a2_row17_col850, #T_457a2_row17_col1379, #T_457a2_row19_col134, #T_457a2_row19_col317, #T_457a2_row19_col366, #T_457a2_row19_col854, #T_457a2_row19_col905, #T_457a2_row19_col1037, #T_457a2_row19_col1226, #T_457a2_row20_col77, #T_457a2_row20_col78, #T_457a2_row20_col306, #T_457a2_row20_col384, #T_457a2_row20_col536, #T_457a2_row20_col651, #T_457a2_row20_col797, #T_457a2_row20_col1026, #T_457a2_row20_col1117, #T_457a2_row22_col1324, #T_457a2_row24_col1389 {\n",
       "  background-color: #04649e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col629, #T_457a2_row0_col641, #T_457a2_row0_col718, #T_457a2_row0_col1032, #T_457a2_row0_col1438, #T_457a2_row1_col131, #T_457a2_row1_col210, #T_457a2_row1_col232, #T_457a2_row1_col275, #T_457a2_row1_col493, #T_457a2_row1_col567, #T_457a2_row1_col568, #T_457a2_row1_col851, #T_457a2_row1_col884, #T_457a2_row1_col930, #T_457a2_row1_col952, #T_457a2_row1_col995, #T_457a2_row1_col1177, #T_457a2_row1_col1205, #T_457a2_row2_col93, #T_457a2_row2_col226, #T_457a2_row2_col246, #T_457a2_row2_col670, #T_457a2_row2_col774, #T_457a2_row2_col781, #T_457a2_row2_col813, #T_457a2_row2_col946, #T_457a2_row2_col947, #T_457a2_row2_col966, #T_457a2_row2_col1194, #T_457a2_row2_col1309, #T_457a2_row3_col143, #T_457a2_row3_col217, #T_457a2_row3_col437, #T_457a2_row3_col460, #T_457a2_row3_col558, #T_457a2_row3_col696, #T_457a2_row3_col742, #T_457a2_row3_col863, #T_457a2_row3_col937, #T_457a2_row3_col1104, #T_457a2_row3_col1368, #T_457a2_row3_col1386, #T_457a2_row3_col1428, #T_457a2_row4_col199, #T_457a2_row4_col358, #T_457a2_row4_col366, #T_457a2_row4_col380, #T_457a2_row4_col565, #T_457a2_row4_col618, #T_457a2_row4_col634, #T_457a2_row5_col123, #T_457a2_row5_col203, #T_457a2_row5_col801, #T_457a2_row5_col843, #T_457a2_row5_col895, #T_457a2_row5_col923, #T_457a2_row5_col1138, #T_457a2_row5_col1245, #T_457a2_row5_col1288, #T_457a2_row6_col143, #T_457a2_row6_col201, #T_457a2_row6_col863, #T_457a2_row6_col921, #T_457a2_row6_col1135, #T_457a2_row6_col1165, #T_457a2_row6_col1255, #T_457a2_row6_col1380, #T_457a2_row7_col86, #T_457a2_row7_col219, #T_457a2_row7_col658, #T_457a2_row7_col671, #T_457a2_row7_col939, #T_457a2_row7_col961, #T_457a2_row7_col1276, #T_457a2_row7_col1293, #T_457a2_row7_col1424, #T_457a2_row8_col507, #T_457a2_row8_col591, #T_457a2_row8_col1101, #T_457a2_row8_col1335, #T_457a2_row8_col1393, #T_457a2_row9_col173, #T_457a2_row9_col392, #T_457a2_row9_col549, #T_457a2_row9_col585, #T_457a2_row9_col726, #T_457a2_row9_col893, #T_457a2_row9_col1099, #T_457a2_row10_col272, #T_457a2_row10_col464, #T_457a2_row10_col671, #T_457a2_row10_col992, #T_457a2_row10_col1425, #T_457a2_row11_col55, #T_457a2_row11_col278, #T_457a2_row11_col775, #T_457a2_row11_col799, #T_457a2_row11_col838, #T_457a2_row11_col998, #T_457a2_row12_col34, #T_457a2_row12_col157, #T_457a2_row12_col471, #T_457a2_row12_col557, #T_457a2_row12_col593, #T_457a2_row12_col754, #T_457a2_row12_col758, #T_457a2_row12_col1210, #T_457a2_row12_col1429, #T_457a2_row13_col53, #T_457a2_row13_col679, #T_457a2_row13_col891, #T_457a2_row13_col1112, #T_457a2_row13_col1115, #T_457a2_row13_col1366, #T_457a2_row14_col609, #T_457a2_row15_col254, #T_457a2_row15_col974, #T_457a2_row16_col363, #T_457a2_row16_col664, #T_457a2_row16_col1083, #T_457a2_row17_col23, #T_457a2_row17_col91, #T_457a2_row17_col620, #T_457a2_row17_col743, #T_457a2_row17_col811, #T_457a2_row17_col1201, #T_457a2_row17_col1214, #T_457a2_row17_col1292, #T_457a2_row17_col1438, #T_457a2_row18_col134, #T_457a2_row18_col216, #T_457a2_row18_col657, #T_457a2_row18_col686, #T_457a2_row18_col752, #T_457a2_row18_col854, #T_457a2_row18_col1138, #T_457a2_row18_col1282, #T_457a2_row18_col1412, #T_457a2_row18_col1416, #T_457a2_row19_col70, #T_457a2_row19_col187, #T_457a2_row19_col249, #T_457a2_row19_col513, #T_457a2_row19_col714, #T_457a2_row19_col790, #T_457a2_row19_col907, #T_457a2_row19_col969, #T_457a2_row19_col1094, #T_457a2_row19_col1130, #T_457a2_row19_col1202, #T_457a2_row19_col1422, #T_457a2_row20_col89, #T_457a2_row20_col129, #T_457a2_row20_col272, #T_457a2_row20_col450, #T_457a2_row20_col631, #T_457a2_row20_col640, #T_457a2_row20_col809, #T_457a2_row20_col992, #T_457a2_row20_col1159, #T_457a2_row20_col1431, #T_457a2_row21_col56, #T_457a2_row21_col147, #T_457a2_row21_col190, #T_457a2_row21_col425, #T_457a2_row21_col633, #T_457a2_row21_col681, #T_457a2_row21_col776, #T_457a2_row21_col867, #T_457a2_row21_col1099, #T_457a2_row21_col1283, #T_457a2_row21_col1310, #T_457a2_row22_col492, #T_457a2_row22_col575, #T_457a2_row22_col686, #T_457a2_row22_col881, #T_457a2_row22_col1137, #T_457a2_row22_col1238, #T_457a2_row23_col60, #T_457a2_row23_col133, #T_457a2_row23_col305, #T_457a2_row23_col627, #T_457a2_row23_col780, #T_457a2_row23_col853, #T_457a2_row23_col926, #T_457a2_row23_col1025, #T_457a2_row23_col1438, #T_457a2_row24_col181, #T_457a2_row24_col528, #T_457a2_row24_col901, #T_457a2_row24_col1257, #T_457a2_row24_col1288, #T_457a2_row24_col1364 {\n",
       "  background-color: #569dc8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col644, #T_457a2_row0_col1297, #T_457a2_row1_col197, #T_457a2_row1_col240, #T_457a2_row1_col458, #T_457a2_row1_col479, #T_457a2_row1_col495, #T_457a2_row1_col910, #T_457a2_row1_col917, #T_457a2_row1_col960, #T_457a2_row1_col1005, #T_457a2_row2_col43, #T_457a2_row2_col107, #T_457a2_row2_col415, #T_457a2_row2_col453, #T_457a2_row2_col466, #T_457a2_row2_col482, #T_457a2_row2_col577, #T_457a2_row2_col713, #T_457a2_row2_col753, #T_457a2_row2_col763, #T_457a2_row2_col827, #T_457a2_row2_col1017, #T_457a2_row2_col1051, #T_457a2_row2_col1262, #T_457a2_row3_col12, #T_457a2_row3_col488, #T_457a2_row3_col560, #T_457a2_row3_col646, #T_457a2_row3_col680, #T_457a2_row3_col681, #T_457a2_row3_col732, #T_457a2_row3_col1108, #T_457a2_row4_col143, #T_457a2_row4_col700, #T_457a2_row4_col863, #T_457a2_row4_col1338, #T_457a2_row4_col1436, #T_457a2_row5_col102, #T_457a2_row5_col424, #T_457a2_row5_col544, #T_457a2_row5_col555, #T_457a2_row5_col654, #T_457a2_row5_col822, #T_457a2_row5_col961, #T_457a2_row5_col1356, #T_457a2_row6_col34, #T_457a2_row6_col675, #T_457a2_row6_col1086, #T_457a2_row7_col427, #T_457a2_row8_col249, #T_457a2_row8_col426, #T_457a2_row8_col462, #T_457a2_row8_col487, #T_457a2_row8_col777, #T_457a2_row8_col969, #T_457a2_row8_col1210, #T_457a2_row8_col1218, #T_457a2_row9_col293, #T_457a2_row9_col415, #T_457a2_row9_col436, #T_457a2_row9_col583, #T_457a2_row9_col593, #T_457a2_row9_col1148, #T_457a2_row9_col1166, #T_457a2_row10_col19, #T_457a2_row10_col29, #T_457a2_row10_col1126, #T_457a2_row10_col1273, #T_457a2_row10_col1278, #T_457a2_row11_col544, #T_457a2_row11_col556, #T_457a2_row11_col658, #T_457a2_row11_col1145, #T_457a2_row12_col65, #T_457a2_row12_col118, #T_457a2_row12_col181, #T_457a2_row12_col210, #T_457a2_row12_col243, #T_457a2_row12_col489, #T_457a2_row12_col529, #T_457a2_row12_col682, #T_457a2_row12_col755, #T_457a2_row12_col930, #T_457a2_row12_col963, #T_457a2_row13_col601, #T_457a2_row13_col1199, #T_457a2_row13_col1203, #T_457a2_row13_col1338, #T_457a2_row14_col29, #T_457a2_row14_col460, #T_457a2_row14_col470, #T_457a2_row14_col547, #T_457a2_row14_col749, #T_457a2_row14_col1062, #T_457a2_row14_col1419, #T_457a2_row15_col52, #T_457a2_row15_col237, #T_457a2_row15_col248, #T_457a2_row15_col505, #T_457a2_row15_col957, #T_457a2_row15_col968, #T_457a2_row16_col39, #T_457a2_row16_col45, #T_457a2_row16_col168, #T_457a2_row16_col184, #T_457a2_row16_col719, #T_457a2_row16_col742, #T_457a2_row16_col888, #T_457a2_row16_col904, #T_457a2_row16_col1120, #T_457a2_row16_col1228, #T_457a2_row16_col1410, #T_457a2_row17_col193, #T_457a2_row17_col203, #T_457a2_row17_col538, #T_457a2_row17_col913, #T_457a2_row17_col923, #T_457a2_row18_col167, #T_457a2_row18_col373, #T_457a2_row18_col404, #T_457a2_row18_col432, #T_457a2_row18_col678, #T_457a2_row18_col703, #T_457a2_row18_col784, #T_457a2_row18_col887, #T_457a2_row18_col1160, #T_457a2_row18_col1193, #T_457a2_row19_col209, #T_457a2_row19_col288, #T_457a2_row19_col423, #T_457a2_row19_col474, #T_457a2_row19_col571, #T_457a2_row19_col614, #T_457a2_row19_col875, #T_457a2_row19_col1008, #T_457a2_row19_col1351, #T_457a2_row19_col1365, #T_457a2_row20_col70, #T_457a2_row20_col255, #T_457a2_row20_col338, #T_457a2_row20_col422, #T_457a2_row20_col457, #T_457a2_row20_col601, #T_457a2_row20_col641, #T_457a2_row20_col790, #T_457a2_row20_col975, #T_457a2_row21_col468, #T_457a2_row21_col534, #T_457a2_row21_col541, #T_457a2_row21_col651, #T_457a2_row21_col700, #T_457a2_row22_col246, #T_457a2_row22_col300, #T_457a2_row22_col306, #T_457a2_row22_col409, #T_457a2_row22_col1020, #T_457a2_row22_col1156, #T_457a2_row22_col1165, #T_457a2_row22_col1218, #T_457a2_row22_col1257, #T_457a2_row22_col1372, #T_457a2_row23_col134, #T_457a2_row23_col181, #T_457a2_row23_col289, #T_457a2_row23_col315, #T_457a2_row23_col359, #T_457a2_row23_col530, #T_457a2_row23_col692, #T_457a2_row23_col854, #T_457a2_row23_col901, #T_457a2_row23_col1009, #T_457a2_row23_col1035, #T_457a2_row23_col1079, #T_457a2_row23_col1434, #T_457a2_row24_col75, #T_457a2_row24_col289, #T_457a2_row24_col364, #T_457a2_row24_col557, #T_457a2_row24_col601, #T_457a2_row24_col645, #T_457a2_row24_col659, #T_457a2_row24_col891, #T_457a2_row24_col918, #T_457a2_row24_col1009, #T_457a2_row24_col1076, #T_457a2_row24_col1222, #T_457a2_row24_col1343, #T_457a2_row24_col1410 {\n",
       "  background-color: #b4c4df;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col646, #T_457a2_row1_col74, #T_457a2_row1_col99, #T_457a2_row1_col106, #T_457a2_row1_col217, #T_457a2_row1_col229, #T_457a2_row1_col299, #T_457a2_row1_col423, #T_457a2_row1_col457, #T_457a2_row1_col794, #T_457a2_row1_col819, #T_457a2_row1_col949, #T_457a2_row1_col1019, #T_457a2_row2_col222, #T_457a2_row2_col390, #T_457a2_row2_col555, #T_457a2_row2_col573, #T_457a2_row3_col1294, #T_457a2_row3_col1416, #T_457a2_row4_col158, #T_457a2_row4_col669, #T_457a2_row4_col878, #T_457a2_row4_col1332, #T_457a2_row5_col40, #T_457a2_row5_col42, #T_457a2_row5_col762, #T_457a2_row5_col1429, #T_457a2_row6_col91, #T_457a2_row6_col411, #T_457a2_row6_col484, #T_457a2_row6_col811, #T_457a2_row6_col825, #T_457a2_row6_col1098, #T_457a2_row6_col1219, #T_457a2_row7_col52, #T_457a2_row7_col772, #T_457a2_row8_col390, #T_457a2_row8_col415, #T_457a2_row8_col502, #T_457a2_row8_col518, #T_457a2_row8_col584, #T_457a2_row8_col711, #T_457a2_row8_col1297, #T_457a2_row9_col759, #T_457a2_row9_col1296, #T_457a2_row10_col43, #T_457a2_row10_col113, #T_457a2_row10_col333, #T_457a2_row10_col763, #T_457a2_row10_col1053, #T_457a2_row10_col1103, #T_457a2_row10_col1167, #T_457a2_row10_col1324, #T_457a2_row10_col1346, #T_457a2_row10_col1348, #T_457a2_row11_col299, #T_457a2_row11_col520, #T_457a2_row11_col572, #T_457a2_row11_col593, #T_457a2_row11_col714, #T_457a2_row11_col1019, #T_457a2_row11_col1175, #T_457a2_row11_col1299, #T_457a2_row11_col1339, #T_457a2_row12_col58, #T_457a2_row12_col271, #T_457a2_row12_col991, #T_457a2_row13_col1179, #T_457a2_row13_col1235, #T_457a2_row13_col1310, #T_457a2_row14_col30, #T_457a2_row14_col122, #T_457a2_row14_col647, #T_457a2_row14_col667, #T_457a2_row14_col697, #T_457a2_row14_col750, #T_457a2_row15_col191, #T_457a2_row15_col911, #T_457a2_row16_col149, #T_457a2_row16_col158, #T_457a2_row16_col241, #T_457a2_row16_col373, #T_457a2_row16_col502, #T_457a2_row16_col637, #T_457a2_row16_col869, #T_457a2_row16_col878, #T_457a2_row16_col961, #T_457a2_row16_col1214, #T_457a2_row16_col1261, #T_457a2_row16_col1387, #T_457a2_row17_col63, #T_457a2_row17_col394, #T_457a2_row17_col550, #T_457a2_row17_col646, #T_457a2_row17_col756, #T_457a2_row17_col783, #T_457a2_row18_col25, #T_457a2_row18_col251, #T_457a2_row18_col255, #T_457a2_row18_col390, #T_457a2_row18_col642, #T_457a2_row18_col718, #T_457a2_row18_col745, #T_457a2_row18_col971, #T_457a2_row18_col975, #T_457a2_row19_col119, #T_457a2_row19_col427, #T_457a2_row19_col443, #T_457a2_row19_col552, #T_457a2_row19_col579, #T_457a2_row19_col839, #T_457a2_row19_col1190, #T_457a2_row20_col378, #T_457a2_row21_col72, #T_457a2_row21_col77, #T_457a2_row21_col362, #T_457a2_row21_col711, #T_457a2_row21_col792, #T_457a2_row21_col797, #T_457a2_row21_col1082, #T_457a2_row21_col1144, #T_457a2_row21_col1368, #T_457a2_row22_col315, #T_457a2_row22_col339, #T_457a2_row22_col340, #T_457a2_row22_col404, #T_457a2_row22_col676, #T_457a2_row22_col701, #T_457a2_row22_col756, #T_457a2_row22_col1022, #T_457a2_row22_col1060, #T_457a2_row22_col1072, #T_457a2_row22_col1344, #T_457a2_row23_col41, #T_457a2_row23_col228, #T_457a2_row23_col317, #T_457a2_row23_col328, #T_457a2_row23_col482, #T_457a2_row23_col683, #T_457a2_row23_col757, #T_457a2_row23_col761, #T_457a2_row23_col835, #T_457a2_row23_col948, #T_457a2_row23_col1037, #T_457a2_row24_col28, #T_457a2_row24_col319, #T_457a2_row24_col700, #T_457a2_row24_col748, #T_457a2_row24_col1016, #T_457a2_row24_col1039, #T_457a2_row24_col1118, #T_457a2_row24_col1304, #T_457a2_row24_col1317, #T_457a2_row24_col1321 {\n",
       "  background-color: #d2d2e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col649, #T_457a2_row0_col882, #T_457a2_row0_col1118, #T_457a2_row0_col1287, #T_457a2_row0_col1344, #T_457a2_row2_col115, #T_457a2_row2_col119, #T_457a2_row2_col168, #T_457a2_row2_col409, #T_457a2_row2_col820, #T_457a2_row2_col835, #T_457a2_row2_col839, #T_457a2_row2_col888, #T_457a2_row2_col929, #T_457a2_row2_col1332, #T_457a2_row3_col9, #T_457a2_row3_col29, #T_457a2_row3_col372, #T_457a2_row3_col415, #T_457a2_row3_col700, #T_457a2_row3_col729, #T_457a2_row4_col129, #T_457a2_row4_col297, #T_457a2_row4_col370, #T_457a2_row4_col501, #T_457a2_row4_col629, #T_457a2_row4_col782, #T_457a2_row4_col849, #T_457a2_row4_col1389, #T_457a2_row5_col172, #T_457a2_row5_col271, #T_457a2_row5_col287, #T_457a2_row5_col405, #T_457a2_row5_col453, #T_457a2_row5_col644, #T_457a2_row5_col892, #T_457a2_row5_col991, #T_457a2_row5_col1257, #T_457a2_row6_col53, #T_457a2_row6_col221, #T_457a2_row6_col260, #T_457a2_row6_col268, #T_457a2_row6_col614, #T_457a2_row6_col714, #T_457a2_row6_col773, #T_457a2_row6_col941, #T_457a2_row6_col980, #T_457a2_row6_col1102, #T_457a2_row6_col1174, #T_457a2_row7_col106, #T_457a2_row7_col826, #T_457a2_row8_col110, #T_457a2_row8_col152, #T_457a2_row8_col232, #T_457a2_row8_col346, #T_457a2_row8_col573, #T_457a2_row8_col585, #T_457a2_row8_col830, #T_457a2_row8_col872, #T_457a2_row8_col1066, #T_457a2_row9_col43, #T_457a2_row9_col221, #T_457a2_row9_col601, #T_457a2_row9_col680, #T_457a2_row9_col763, #T_457a2_row9_col941, #T_457a2_row9_col1139, #T_457a2_row10_col21, #T_457a2_row10_col105, #T_457a2_row10_col479, #T_457a2_row10_col633, #T_457a2_row10_col741, #T_457a2_row10_col782, #T_457a2_row10_col1024, #T_457a2_row10_col1147, #T_457a2_row10_col1175, #T_457a2_row10_col1258, #T_457a2_row10_col1378, #T_457a2_row11_col145, #T_457a2_row11_col1130, #T_457a2_row11_col1139, #T_457a2_row12_col14, #T_457a2_row12_col112, #T_457a2_row12_col229, #T_457a2_row12_col274, #T_457a2_row12_col345, #T_457a2_row12_col548, #T_457a2_row12_col614, #T_457a2_row12_col615, #T_457a2_row12_col680, #T_457a2_row12_col724, #T_457a2_row12_col832, #T_457a2_row12_col949, #T_457a2_row12_col994, #T_457a2_row12_col1046, #T_457a2_row12_col1065, #T_457a2_row12_col1327, #T_457a2_row12_col1393, #T_457a2_row13_col458, #T_457a2_row13_col599, #T_457a2_row13_col1184, #T_457a2_row13_col1272, #T_457a2_row14_col69, #T_457a2_row14_col162, #T_457a2_row14_col523, #T_457a2_row14_col574, #T_457a2_row14_col716, #T_457a2_row14_col900, #T_457a2_row14_col1202, #T_457a2_row15_col118, #T_457a2_row15_col277, #T_457a2_row15_col304, #T_457a2_row15_col997, #T_457a2_row15_col1176, #T_457a2_row15_col1250, #T_457a2_row16_col61, #T_457a2_row16_col369, #T_457a2_row16_col648, #T_457a2_row16_col1226, #T_457a2_row16_col1353, #T_457a2_row17_col37, #T_457a2_row17_col76, #T_457a2_row17_col238, #T_457a2_row17_col641, #T_457a2_row17_col958, #T_457a2_row17_col1341, #T_457a2_row17_col1443, #T_457a2_row18_col87, #T_457a2_row18_col343, #T_457a2_row18_col363, #T_457a2_row18_col468, #T_457a2_row18_col529, #T_457a2_row18_col564, #T_457a2_row18_col565, #T_457a2_row18_col714, #T_457a2_row18_col780, #T_457a2_row18_col807, #T_457a2_row18_col1063, #T_457a2_row18_col1254, #T_457a2_row18_col1316, #T_457a2_row18_col1360, #T_457a2_row19_col24, #T_457a2_row19_col340, #T_457a2_row19_col472, #T_457a2_row19_col697, #T_457a2_row19_col1216, #T_457a2_row19_col1433, #T_457a2_row20_col266, #T_457a2_row20_col286, #T_457a2_row20_col566, #T_457a2_row20_col576, #T_457a2_row20_col624, #T_457a2_row20_col757, #T_457a2_row20_col986, #T_457a2_row20_col1006, #T_457a2_row20_col1185, #T_457a2_row21_col409, #T_457a2_row21_col569, #T_457a2_row22_col64, #T_457a2_row22_col120, #T_457a2_row22_col274, #T_457a2_row22_col348, #T_457a2_row22_col486, #T_457a2_row22_col644, #T_457a2_row22_col706, #T_457a2_row22_col840, #T_457a2_row22_col1068, #T_457a2_row22_col1150, #T_457a2_row22_col1262, #T_457a2_row23_col120, #T_457a2_row23_col128, #T_457a2_row23_col258, #T_457a2_row23_col571, #T_457a2_row23_col573, #T_457a2_row23_col617, #T_457a2_row23_col636, #T_457a2_row23_col695, #T_457a2_row23_col700, #T_457a2_row23_col848, #T_457a2_row23_col1282, #T_457a2_row23_col1290, #T_457a2_row23_col1323, #T_457a2_row23_col1379, #T_457a2_row23_col1425, #T_457a2_row24_col47, #T_457a2_row24_col127, #T_457a2_row24_col154, #T_457a2_row24_col847, #T_457a2_row24_col874, #T_457a2_row24_col1027 {\n",
       "  background-color: #abbfdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col653, #T_457a2_row1_col664, #T_457a2_row2_col213, #T_457a2_row2_col933, #T_457a2_row4_col1261, #T_457a2_row5_col604, #T_457a2_row5_col1193, #T_457a2_row5_col1277, #T_457a2_row6_col338, #T_457a2_row6_col822, #T_457a2_row8_col20, #T_457a2_row8_col154, #T_457a2_row8_col212, #T_457a2_row8_col271, #T_457a2_row8_col554, #T_457a2_row8_col740, #T_457a2_row8_col874, #T_457a2_row8_col932, #T_457a2_row9_col298, #T_457a2_row9_col567, #T_457a2_row9_col658, #T_457a2_row9_col928, #T_457a2_row9_col1018, #T_457a2_row9_col1165, #T_457a2_row9_col1242, #T_457a2_row10_col12, #T_457a2_row10_col57, #T_457a2_row10_col280, #T_457a2_row10_col603, #T_457a2_row10_col732, #T_457a2_row10_col777, #T_457a2_row10_col936, #T_457a2_row10_col1000, #T_457a2_row11_col427, #T_457a2_row11_col446, #T_457a2_row11_col1199, #T_457a2_row11_col1348, #T_457a2_row14_col482, #T_457a2_row14_col644, #T_457a2_row14_col662, #T_457a2_row14_col943, #T_457a2_row15_col384, #T_457a2_row16_col174, #T_457a2_row16_col209, #T_457a2_row16_col331, #T_457a2_row16_col339, #T_457a2_row16_col639, #T_457a2_row16_col708, #T_457a2_row16_col793, #T_457a2_row16_col894, #T_457a2_row16_col1051, #T_457a2_row16_col1059, #T_457a2_row16_col1306, #T_457a2_row16_col1384, #T_457a2_row17_col109, #T_457a2_row17_col294, #T_457a2_row17_col344, #T_457a2_row17_col829, #T_457a2_row17_col1064, #T_457a2_row18_col407, #T_457a2_row18_col419, #T_457a2_row18_col523, #T_457a2_row19_col106, #T_457a2_row19_col264, #T_457a2_row19_col984, #T_457a2_row19_col1083, #T_457a2_row20_col262, #T_457a2_row20_col567, #T_457a2_row20_col982, #T_457a2_row21_col286, #T_457a2_row21_col342, #T_457a2_row21_col929, #T_457a2_row21_col1030, #T_457a2_row22_col413, #T_457a2_row22_col828, #T_457a2_row22_col1122, #T_457a2_row22_col1298, #T_457a2_row23_col92, #T_457a2_row23_col104, #T_457a2_row23_col285, #T_457a2_row23_col403, #T_457a2_row23_col582, #T_457a2_row23_col824, #T_457a2_row23_col1017, #T_457a2_row24_col1085, #T_457a2_row24_col1090, #T_457a2_row24_col1211, #T_457a2_row24_col1412 {\n",
       "  background-color: #eae6f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col663, #T_457a2_row0_col1201, #T_457a2_row0_col1339, #T_457a2_row1_col209, #T_457a2_row1_col702, #T_457a2_row1_col929, #T_457a2_row2_col72, #T_457a2_row2_col165, #T_457a2_row2_col584, #T_457a2_row2_col722, #T_457a2_row2_col792, #T_457a2_row2_col1096, #T_457a2_row3_col169, #T_457a2_row3_col621, #T_457a2_row3_col889, #T_457a2_row4_col221, #T_457a2_row4_col261, #T_457a2_row4_col628, #T_457a2_row4_col651, #T_457a2_row4_col941, #T_457a2_row4_col963, #T_457a2_row5_col435, #T_457a2_row5_col468, #T_457a2_row5_col683, #T_457a2_row6_col417, #T_457a2_row6_col525, #T_457a2_row6_col534, #T_457a2_row6_col611, #T_457a2_row6_col1337, #T_457a2_row8_col476, #T_457a2_row8_col1106, #T_457a2_row9_col295, #T_457a2_row9_col646, #T_457a2_row9_col654, #T_457a2_row9_col1169, #T_457a2_row9_col1286, #T_457a2_row9_col1367, #T_457a2_row10_col164, #T_457a2_row10_col238, #T_457a2_row10_col430, #T_457a2_row10_col449, #T_457a2_row10_col499, #T_457a2_row10_col622, #T_457a2_row10_col958, #T_457a2_row11_col207, #T_457a2_row11_col431, #T_457a2_row11_col567, #T_457a2_row11_col585, #T_457a2_row11_col672, #T_457a2_row12_col239, #T_457a2_row12_col427, #T_457a2_row13_col1021, #T_457a2_row14_col23, #T_457a2_row14_col307, #T_457a2_row14_col345, #T_457a2_row14_col649, #T_457a2_row14_col713, #T_457a2_row14_col743, #T_457a2_row14_col962, #T_457a2_row14_col1042, #T_457a2_row14_col1065, #T_457a2_row16_col166, #T_457a2_row16_col669, #T_457a2_row16_col886, #T_457a2_row16_col995, #T_457a2_row16_col1431, #T_457a2_row17_col151, #T_457a2_row17_col379, #T_457a2_row17_col871, #T_457a2_row18_col187, #T_457a2_row18_col224, #T_457a2_row18_col510, #T_457a2_row18_col547, #T_457a2_row18_col907, #T_457a2_row18_col944, #T_457a2_row19_col632, #T_457a2_row20_col50, #T_457a2_row20_col544, #T_457a2_row21_col86, #T_457a2_row21_col221, #T_457a2_row21_col226, #T_457a2_row21_col324, #T_457a2_row21_col941, #T_457a2_row21_col1044, #T_457a2_row21_col1093, #T_457a2_row22_col28, #T_457a2_row22_col150, #T_457a2_row22_col239, #T_457a2_row22_col408, #T_457a2_row22_col437, #T_457a2_row22_col590, #T_457a2_row22_col632, #T_457a2_row22_col748, #T_457a2_row22_col821, #T_457a2_row22_col870, #T_457a2_row22_col1224, #T_457a2_row22_col1282, #T_457a2_row23_col9, #T_457a2_row23_col78, #T_457a2_row23_col207, #T_457a2_row23_col304, #T_457a2_row23_col312, #T_457a2_row23_col435, #T_457a2_row23_col588, #T_457a2_row23_col729, #T_457a2_row23_col798, #T_457a2_row23_col820, #T_457a2_row23_col1024, #T_457a2_row23_col1032, #T_457a2_row23_col1057, #T_457a2_row23_col1113, #T_457a2_row23_col1119, #T_457a2_row24_col193, #T_457a2_row24_col388, #T_457a2_row24_col799, #T_457a2_row24_col913, #T_457a2_row24_col1411 {\n",
       "  background-color: #e0deed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col684, #T_457a2_row1_col101, #T_457a2_row1_col349, #T_457a2_row1_col704, #T_457a2_row1_col755, #T_457a2_row1_col821, #T_457a2_row1_col829, #T_457a2_row2_col7, #T_457a2_row2_col42, #T_457a2_row2_col167, #T_457a2_row2_col601, #T_457a2_row2_col655, #T_457a2_row2_col727, #T_457a2_row2_col762, #T_457a2_row2_col945, #T_457a2_row3_col1142, #T_457a2_row4_col101, #T_457a2_row4_col106, #T_457a2_row4_col233, #T_457a2_row4_col581, #T_457a2_row4_col953, #T_457a2_row4_col1165, #T_457a2_row4_col1223, #T_457a2_row5_col467, #T_457a2_row5_col554, #T_457a2_row5_col1430, #T_457a2_row6_col647, #T_457a2_row8_col344, #T_457a2_row8_col452, #T_457a2_row8_col463, #T_457a2_row8_col508, #T_457a2_row8_col574, #T_457a2_row8_col576, #T_457a2_row8_col753, #T_457a2_row8_col888, #T_457a2_row8_col1064, #T_457a2_row9_col167, #T_457a2_row9_col297, #T_457a2_row10_col127, #T_457a2_row10_col412, #T_457a2_row10_col495, #T_457a2_row10_col597, #T_457a2_row10_col676, #T_457a2_row10_col847, #T_457a2_row10_col988, #T_457a2_row10_col1090, #T_457a2_row10_col1420, #T_457a2_row11_col630, #T_457a2_row11_col691, #T_457a2_row11_col1188, #T_457a2_row11_col1282, #T_457a2_row13_col1152, #T_457a2_row13_col1162, #T_457a2_row14_col74, #T_457a2_row14_col123, #T_457a2_row14_col149, #T_457a2_row14_col254, #T_457a2_row14_col668, #T_457a2_row14_col747, #T_457a2_row14_col794, #T_457a2_row14_col866, #T_457a2_row14_col869, #T_457a2_row14_col974, #T_457a2_row14_col1014, #T_457a2_row14_col1264, #T_457a2_row14_col1286, #T_457a2_row15_col939, #T_457a2_row16_col94, #T_457a2_row16_col98, #T_457a2_row16_col161, #T_457a2_row16_col313, #T_457a2_row16_col427, #T_457a2_row16_col508, #T_457a2_row16_col814, #T_457a2_row16_col818, #T_457a2_row16_col937, #T_457a2_row16_col1330, #T_457a2_row17_col411, #T_457a2_row17_col649, #T_457a2_row18_col1152, #T_457a2_row19_col897, #T_457a2_row20_col865, #T_457a2_row21_col207, #T_457a2_row21_col406, #T_457a2_row21_col1206, #T_457a2_row22_col2, #T_457a2_row22_col78, #T_457a2_row22_col158, #T_457a2_row22_col163, #T_457a2_row22_col698, #T_457a2_row22_col798, #T_457a2_row22_col883, #T_457a2_row22_col1255, #T_457a2_row23_col447, #T_457a2_row23_col499, #T_457a2_row23_col664, #T_457a2_row23_col713, #T_457a2_row23_col827, #T_457a2_row23_col1419, #T_457a2_row24_col195, #T_457a2_row24_col509, #T_457a2_row24_col566, #T_457a2_row24_col692, #T_457a2_row24_col833, #T_457a2_row24_col915, #T_457a2_row24_col1316 {\n",
       "  background-color: #e5e1ef;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col699, #T_457a2_row3_col442, #T_457a2_row5_col1046, #T_457a2_row6_col336, #T_457a2_row6_col373, #T_457a2_row6_col556, #T_457a2_row6_col1056, #T_457a2_row8_col115, #T_457a2_row9_col473, #T_457a2_row9_col519, #T_457a2_row10_col416, #T_457a2_row10_col798, #T_457a2_row10_col1172, #T_457a2_row11_col1208, #T_457a2_row14_col121, #T_457a2_row14_col344, #T_457a2_row14_col1064, #T_457a2_row15_col4, #T_457a2_row15_col561, #T_457a2_row15_col724, #T_457a2_row16_col428, #T_457a2_row16_col1124, #T_457a2_row18_col1203, #T_457a2_row19_col603, #T_457a2_row21_col463, #T_457a2_row22_col344, #T_457a2_row22_col446, #T_457a2_row22_col585, #T_457a2_row22_col1064, #T_457a2_row22_col1285, #T_457a2_row23_col1128, #T_457a2_row23_col1267, #T_457a2_row24_col406, #T_457a2_row24_col445, #T_457a2_row24_col539, #T_457a2_row24_col1182, #T_457a2_row24_col1286 {\n",
       "  background-color: #fef6fb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col703, #T_457a2_row0_col1162, #T_457a2_row0_col1341, #T_457a2_row1_col235, #T_457a2_row1_col264, #T_457a2_row1_col406, #T_457a2_row1_col476, #T_457a2_row1_col579, #T_457a2_row1_col654, #T_457a2_row1_col882, #T_457a2_row1_col955, #T_457a2_row1_col984, #T_457a2_row2_col205, #T_457a2_row2_col263, #T_457a2_row2_col433, #T_457a2_row2_col543, #T_457a2_row2_col579, #T_457a2_row2_col600, #T_457a2_row2_col925, #T_457a2_row2_col983, #T_457a2_row2_col1398, #T_457a2_row3_col37, #T_457a2_row3_col141, #T_457a2_row3_col283, #T_457a2_row3_col643, #T_457a2_row3_col721, #T_457a2_row3_col757, #T_457a2_row3_col861, #T_457a2_row3_col1003, #T_457a2_row3_col1004, #T_457a2_row3_col1213, #T_457a2_row3_col1276, #T_457a2_row3_col1295, #T_457a2_row4_col98, #T_457a2_row4_col415, #T_457a2_row4_col594, #T_457a2_row4_col1059, #T_457a2_row4_col1077, #T_457a2_row4_col1366, #T_457a2_row5_col432, #T_457a2_row5_col1145, #T_457a2_row5_col1151, #T_457a2_row5_col1237, #T_457a2_row5_col1335, #T_457a2_row5_col1353, #T_457a2_row5_col1416, #T_457a2_row6_col269, #T_457a2_row6_col272, #T_457a2_row6_col300, #T_457a2_row6_col322, #T_457a2_row6_col512, #T_457a2_row6_col633, #T_457a2_row6_col989, #T_457a2_row6_col1042, #T_457a2_row6_col1120, #T_457a2_row6_col1399, #T_457a2_row7_col278, #T_457a2_row7_col296, #T_457a2_row7_col393, #T_457a2_row7_col479, #T_457a2_row7_col532, #T_457a2_row7_col536, #T_457a2_row7_col570, #T_457a2_row7_col702, #T_457a2_row7_col917, #T_457a2_row7_col1344, #T_457a2_row8_col1370, #T_457a2_row8_col1384, #T_457a2_row8_col1395, #T_457a2_row9_col251, #T_457a2_row9_col713, #T_457a2_row9_col971, #T_457a2_row9_col1371, #T_457a2_row9_col1405, #T_457a2_row10_col844, #T_457a2_row10_col1098, #T_457a2_row10_col1100, #T_457a2_row10_col1250, #T_457a2_row10_col1384, #T_457a2_row10_col1417, #T_457a2_row11_col273, #T_457a2_row11_col699, #T_457a2_row11_col993, #T_457a2_row12_col20, #T_457a2_row12_col36, #T_457a2_row12_col96, #T_457a2_row12_col403, #T_457a2_row12_col484, #T_457a2_row12_col590, #T_457a2_row12_col627, #T_457a2_row12_col713, #T_457a2_row12_col740, #T_457a2_row12_col816, #T_457a2_row12_col1127, #T_457a2_row12_col1129, #T_457a2_row13_col410, #T_457a2_row13_col566, #T_457a2_row13_col634, #T_457a2_row13_col690, #T_457a2_row13_col944, #T_457a2_row13_col1304, #T_457a2_row13_col1326, #T_457a2_row13_col1421, #T_457a2_row14_col695, #T_457a2_row14_col1093, #T_457a2_row14_col1285, #T_457a2_row14_col1287, #T_457a2_row15_col99, #T_457a2_row15_col353, #T_457a2_row15_col602, #T_457a2_row15_col675, #T_457a2_row15_col703, #T_457a2_row15_col819, #T_457a2_row16_col1276, #T_457a2_row17_col341, #T_457a2_row17_col659, #T_457a2_row17_col1050, #T_457a2_row17_col1061, #T_457a2_row17_col1119, #T_457a2_row17_col1155, #T_457a2_row17_col1207, #T_457a2_row17_col1222, #T_457a2_row17_col1254, #T_457a2_row17_col1441, #T_457a2_row18_col152, #T_457a2_row18_col872, #T_457a2_row18_col1148, #T_457a2_row18_col1154, #T_457a2_row18_col1337, #T_457a2_row18_col1377, #T_457a2_row18_col1422, #T_457a2_row19_col195, #T_457a2_row19_col208, #T_457a2_row19_col214, #T_457a2_row19_col245, #T_457a2_row19_col359, #T_457a2_row19_col433, #T_457a2_row19_col578, #T_457a2_row19_col915, #T_457a2_row19_col928, #T_457a2_row19_col1092, #T_457a2_row19_col1177, #T_457a2_row19_col1392, #T_457a2_row20_col224, #T_457a2_row20_col242, #T_457a2_row20_col289, #T_457a2_row20_col379, #T_457a2_row20_col459, #T_457a2_row20_col512, #T_457a2_row20_col680, #T_457a2_row20_col944, #T_457a2_row20_col962, #T_457a2_row20_col1021, #T_457a2_row20_col1132, #T_457a2_row20_col1290, #T_457a2_row20_col1425, #T_457a2_row21_col27, #T_457a2_row21_col564, #T_457a2_row21_col601, #T_457a2_row21_col747, #T_457a2_row21_col865, #T_457a2_row21_col1260, #T_457a2_row22_col121, #T_457a2_row22_col140, #T_457a2_row22_col841, #T_457a2_row22_col860, #T_457a2_row22_col1201, #T_457a2_row22_col1279, #T_457a2_row22_col1420, #T_457a2_row23_col66, #T_457a2_row23_col516, #T_457a2_row23_col702, #T_457a2_row23_col786, #T_457a2_row23_col816, #T_457a2_row23_col1086, #T_457a2_row24_col31, #T_457a2_row24_col122, #T_457a2_row24_col255, #T_457a2_row24_col751, #T_457a2_row24_col830, #T_457a2_row24_col975, #T_457a2_row24_col1194, #T_457a2_row24_col1403 {\n",
       "  background-color: #4a98c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col704, #T_457a2_row1_col599, #T_457a2_row2_col18, #T_457a2_row2_col253, #T_457a2_row2_col738, #T_457a2_row2_col973, #T_457a2_row2_col1331, #T_457a2_row3_col47, #T_457a2_row3_col152, #T_457a2_row3_col767, #T_457a2_row3_col872, #T_457a2_row3_col1111, #T_457a2_row3_col1427, #T_457a2_row4_col30, #T_457a2_row4_col262, #T_457a2_row4_col668, #T_457a2_row4_col750, #T_457a2_row4_col982, #T_457a2_row4_col1126, #T_457a2_row4_col1135, #T_457a2_row4_col1305, #T_457a2_row4_col1388, #T_457a2_row4_col1404, #T_457a2_row5_col313, #T_457a2_row5_col390, #T_457a2_row5_col553, #T_457a2_row5_col621, #T_457a2_row5_col769, #T_457a2_row5_col1033, #T_457a2_row6_col88, #T_457a2_row6_col279, #T_457a2_row6_col463, #T_457a2_row6_col672, #T_457a2_row6_col776, #T_457a2_row6_col808, #T_457a2_row6_col853, #T_457a2_row6_col999, #T_457a2_row6_col1306, #T_457a2_row6_col1367, #T_457a2_row6_col1384, #T_457a2_row7_col31, #T_457a2_row7_col751, #T_457a2_row8_col78, #T_457a2_row8_col163, #T_457a2_row8_col397, #T_457a2_row8_col423, #T_457a2_row8_col556, #T_457a2_row8_col603, #T_457a2_row8_col663, #T_457a2_row8_col798, #T_457a2_row8_col883, #T_457a2_row8_col891, #T_457a2_row9_col366, #T_457a2_row9_col501, #T_457a2_row9_col1334, #T_457a2_row10_col24, #T_457a2_row10_col144, #T_457a2_row10_col197, #T_457a2_row10_col243, #T_457a2_row10_col385, #T_457a2_row10_col431, #T_457a2_row10_col456, #T_457a2_row10_col468, #T_457a2_row10_col477, #T_457a2_row10_col508, #T_457a2_row10_col570, #T_457a2_row10_col605, #T_457a2_row10_col606, #T_457a2_row10_col608, #T_457a2_row10_col626, #T_457a2_row10_col645, #T_457a2_row10_col744, #T_457a2_row10_col862, #T_457a2_row10_col864, #T_457a2_row10_col917, #T_457a2_row11_col119, #T_457a2_row11_col215, #T_457a2_row11_col402, #T_457a2_row11_col465, #T_457a2_row11_col491, #T_457a2_row11_col646, #T_457a2_row11_col676, #T_457a2_row11_col698, #T_457a2_row11_col839, #T_457a2_row11_col935, #T_457a2_row11_col1421, #T_457a2_row12_col31, #T_457a2_row12_col386, #T_457a2_row12_col488, #T_457a2_row13_col2, #T_457a2_row13_col1331, #T_457a2_row14_col153, #T_457a2_row14_col272, #T_457a2_row14_col283, #T_457a2_row14_col348, #T_457a2_row14_col536, #T_457a2_row14_col653, #T_457a2_row14_col873, #T_457a2_row14_col877, #T_457a2_row14_col889, #T_457a2_row14_col992, #T_457a2_row14_col1003, #T_457a2_row14_col1032, #T_457a2_row14_col1068, #T_457a2_row15_col157, #T_457a2_row15_col233, #T_457a2_row15_col877, #T_457a2_row15_col953, #T_457a2_row16_col62, #T_457a2_row16_col69, #T_457a2_row16_col109, #T_457a2_row16_col126, #T_457a2_row16_col148, #T_457a2_row16_col165, #T_457a2_row16_col279, #T_457a2_row16_col347, #T_457a2_row16_col375, #T_457a2_row16_col448, #T_457a2_row16_col659, #T_457a2_row16_col782, #T_457a2_row16_col829, #T_457a2_row16_col868, #T_457a2_row16_col999, #T_457a2_row16_col1007, #T_457a2_row16_col1067, #T_457a2_row16_col1401, #T_457a2_row17_col28, #T_457a2_row17_col132, #T_457a2_row17_col227, #T_457a2_row17_col292, #T_457a2_row17_col748, #T_457a2_row17_col852, #T_457a2_row17_col947, #T_457a2_row17_col1012, #T_457a2_row17_col1339, #T_457a2_row18_col58, #T_457a2_row18_col121, #T_457a2_row18_col150, #T_457a2_row18_col264, #T_457a2_row18_col293, #T_457a2_row18_col532, #T_457a2_row18_col554, #T_457a2_row18_col778, #T_457a2_row18_col841, #T_457a2_row18_col984, #T_457a2_row18_col1013, #T_457a2_row18_col1418, #T_457a2_row19_col452, #T_457a2_row19_col583, #T_457a2_row20_col653, #T_457a2_row21_col2, #T_457a2_row21_col32, #T_457a2_row21_col40, #T_457a2_row21_col100, #T_457a2_row21_col151, #T_457a2_row21_col262, #T_457a2_row21_col306, #T_457a2_row21_col348, #T_457a2_row21_col369, #T_457a2_row21_col459, #T_457a2_row21_col483, #T_457a2_row21_col546, #T_457a2_row21_col616, #T_457a2_row21_col658, #T_457a2_row21_col686, #T_457a2_row21_col752, #T_457a2_row21_col760, #T_457a2_row21_col820, #T_457a2_row21_col871, #T_457a2_row21_col982, #T_457a2_row21_col1068, #T_457a2_row21_col1360, #T_457a2_row21_col1395, #T_457a2_row22_col31, #T_457a2_row22_col86, #T_457a2_row22_col179, #T_457a2_row22_col307, #T_457a2_row22_col397, #T_457a2_row22_col667, #T_457a2_row22_col806, #T_457a2_row22_col899, #T_457a2_row22_col1136, #T_457a2_row22_col1241, #T_457a2_row22_col1272, #T_457a2_row23_col43, #T_457a2_row23_col442, #T_457a2_row23_col524, #T_457a2_row23_col622, #T_457a2_row23_col763, #T_457a2_row23_col789, #T_457a2_row23_col1254, #T_457a2_row23_col1330, #T_457a2_row23_col1416, #T_457a2_row24_col77, #T_457a2_row24_col395, #T_457a2_row24_col415, #T_457a2_row24_col463, #T_457a2_row24_col523, #T_457a2_row24_col584, #T_457a2_row24_col586, #T_457a2_row24_col588, #T_457a2_row24_col636, #T_457a2_row24_col649, #T_457a2_row24_col797, #T_457a2_row24_col1254, #T_457a2_row24_col1311 {\n",
       "  background-color: #e7e3f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col742, #T_457a2_row0_col818, #T_457a2_row0_col1430, #T_457a2_row1_col438, #T_457a2_row1_col490, #T_457a2_row1_col695, #T_457a2_row1_col1154, #T_457a2_row1_col1306, #T_457a2_row1_col1307, #T_457a2_row1_col1316, #T_457a2_row2_col79, #T_457a2_row2_col207, #T_457a2_row2_col369, #T_457a2_row2_col381, #T_457a2_row2_col419, #T_457a2_row2_col538, #T_457a2_row2_col565, #T_457a2_row2_col799, #T_457a2_row2_col1230, #T_457a2_row2_col1367, #T_457a2_row3_col306, #T_457a2_row3_col822, #T_457a2_row3_col1026, #T_457a2_row3_col1171, #T_457a2_row3_col1273, #T_457a2_row4_col6, #T_457a2_row4_col341, #T_457a2_row4_col364, #T_457a2_row4_col720, #T_457a2_row4_col726, #T_457a2_row4_col1061, #T_457a2_row5_col849, #T_457a2_row5_col1206, #T_457a2_row7_col195, #T_457a2_row7_col248, #T_457a2_row7_col388, #T_457a2_row7_col554, #T_457a2_row7_col1093, #T_457a2_row7_col1421, #T_457a2_row8_col1212, #T_457a2_row8_col1303, #T_457a2_row9_col584, #T_457a2_row9_col611, #T_457a2_row9_col891, #T_457a2_row9_col1270, #T_457a2_row9_col1361, #T_457a2_row10_col851, #T_457a2_row12_col365, #T_457a2_row13_col23, #T_457a2_row13_col342, #T_457a2_row13_col689, #T_457a2_row13_col997, #T_457a2_row14_col429, #T_457a2_row14_col1121, #T_457a2_row15_col164, #T_457a2_row15_col485, #T_457a2_row15_col884, #T_457a2_row15_col891, #T_457a2_row15_col942, #T_457a2_row15_col1160, #T_457a2_row15_col1192, #T_457a2_row15_col1363, #T_457a2_row15_col1422, #T_457a2_row17_col485, #T_457a2_row17_col1184, #T_457a2_row19_col430, #T_457a2_row19_col1076, #T_457a2_row19_col1102, #T_457a2_row19_col1383, #T_457a2_row19_col1405, #T_457a2_row20_col58, #T_457a2_row20_col177, #T_457a2_row20_col297, #T_457a2_row20_col778, #T_457a2_row20_col897, #T_457a2_row20_col960, #T_457a2_row20_col1096, #T_457a2_row20_col1125, #T_457a2_row20_col1190, #T_457a2_row20_col1211, #T_457a2_row20_col1380, #T_457a2_row21_col1188, #T_457a2_row22_col1317, #T_457a2_row23_col1435 {\n",
       "  background-color: #0567a2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col752, #T_457a2_row1_col130, #T_457a2_row1_col149, #T_457a2_row1_col869, #T_457a2_row1_col1131, #T_457a2_row1_col1132, #T_457a2_row1_col1248, #T_457a2_row1_col1404, #T_457a2_row2_col548, #T_457a2_row2_col608, #T_457a2_row3_col633, #T_457a2_row3_col1233, #T_457a2_row4_col77, #T_457a2_row4_col234, #T_457a2_row4_col797, #T_457a2_row4_col954, #T_457a2_row6_col592, #T_457a2_row7_col18, #T_457a2_row7_col471, #T_457a2_row7_col738, #T_457a2_row7_col1304, #T_457a2_row9_col19, #T_457a2_row9_col771, #T_457a2_row10_col1205, #T_457a2_row10_col1206, #T_457a2_row11_col597, #T_457a2_row12_col186, #T_457a2_row12_col433, #T_457a2_row12_col906, #T_457a2_row13_col309, #T_457a2_row13_col604, #T_457a2_row13_col610, #T_457a2_row14_col1254, #T_457a2_row14_col1350, #T_457a2_row15_col180, #T_457a2_row15_col585, #T_457a2_row15_col686, #T_457a2_row15_col900, #T_457a2_row15_col922, #T_457a2_row15_col1166, #T_457a2_row15_col1334, #T_457a2_row15_col1406, #T_457a2_row16_col1437, #T_457a2_row17_col435, #T_457a2_row17_col1085, #T_457a2_row19_col327, #T_457a2_row19_col358, #T_457a2_row19_col1047, #T_457a2_row19_col1078, #T_457a2_row20_col263, #T_457a2_row20_col983, #T_457a2_row21_col60, #T_457a2_row21_col239, #T_457a2_row21_col780, #T_457a2_row21_col959, #T_457a2_row24_col421 {\n",
       "  background-color: #034973;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col804, #T_457a2_row0_col1065, #T_457a2_row1_col897, #T_457a2_row2_col224, #T_457a2_row2_col309, #T_457a2_row2_col653, #T_457a2_row3_col626, #T_457a2_row4_col213, #T_457a2_row4_col379, #T_457a2_row4_col395, #T_457a2_row4_col873, #T_457a2_row4_col1162, #T_457a2_row4_col1173, #T_457a2_row5_col165, #T_457a2_row5_col300, #T_457a2_row5_col533, #T_457a2_row5_col649, #T_457a2_row5_col948, #T_457a2_row5_col1020, #T_457a2_row6_col15, #T_457a2_row6_col343, #T_457a2_row6_col735, #T_457a2_row6_col1342, #T_457a2_row8_col553, #T_457a2_row9_col69, #T_457a2_row9_col477, #T_457a2_row9_col789, #T_457a2_row9_col1287, #T_457a2_row10_col296, #T_457a2_row10_col672, #T_457a2_row10_col709, #T_457a2_row10_col1328, #T_457a2_row11_col106, #T_457a2_row11_col518, #T_457a2_row11_col681, #T_457a2_row11_col1343, #T_457a2_row12_col2, #T_457a2_row12_col463, #T_457a2_row12_col702, #T_457a2_row13_col1248, #T_457a2_row14_col222, #T_457a2_row14_col226, #T_457a2_row14_col240, #T_457a2_row14_col265, #T_457a2_row14_col289, #T_457a2_row14_col403, #T_457a2_row14_col456, #T_457a2_row14_col576, #T_457a2_row14_col942, #T_457a2_row14_col985, #T_457a2_row14_col1009, #T_457a2_row15_col65, #T_457a2_row15_col71, #T_457a2_row15_col785, #T_457a2_row15_col791, #T_457a2_row16_col35, #T_457a2_row16_col154, #T_457a2_row16_col172, #T_457a2_row16_col301, #T_457a2_row16_col328, #T_457a2_row16_col525, #T_457a2_row16_col755, #T_457a2_row16_col874, #T_457a2_row16_col892, #T_457a2_row16_col1149, #T_457a2_row16_col1169, #T_457a2_row16_col1207, #T_457a2_row16_col1234, #T_457a2_row16_col1350, #T_457a2_row18_col123, #T_457a2_row18_col212, #T_457a2_row18_col248, #T_457a2_row18_col968, #T_457a2_row18_col1342, #T_457a2_row19_col104, #T_457a2_row19_col419, #T_457a2_row19_col624, #T_457a2_row19_col643, #T_457a2_row19_col824, #T_457a2_row19_col1354, #T_457a2_row20_col59, #T_457a2_row20_col162, #T_457a2_row20_col446, #T_457a2_row20_col779, #T_457a2_row20_col1364, #T_457a2_row20_col1383, #T_457a2_row21_col16, #T_457a2_row21_col67, #T_457a2_row21_col79, #T_457a2_row21_col171, #T_457a2_row21_col267, #T_457a2_row21_col469, #T_457a2_row21_col473, #T_457a2_row21_col636, #T_457a2_row21_col736, #T_457a2_row21_col787, #T_457a2_row21_col799, #T_457a2_row21_col987, #T_457a2_row21_col1160, #T_457a2_row21_col1298, #T_457a2_row21_col1372, #T_457a2_row22_col41, #T_457a2_row22_col230, #T_457a2_row22_col231, #T_457a2_row22_col235, #T_457a2_row22_col407, #T_457a2_row22_col546, #T_457a2_row22_col558, #T_457a2_row22_col614, #T_457a2_row22_col950, #T_457a2_row22_col951, #T_457a2_row22_col955, #T_457a2_row22_col1014, #T_457a2_row22_col1018, #T_457a2_row22_col1151, #T_457a2_row22_col1231, #T_457a2_row23_col46, #T_457a2_row23_col159, #T_457a2_row23_col291, #T_457a2_row23_col497, #T_457a2_row23_col766, #T_457a2_row23_col879, #T_457a2_row23_col1011, #T_457a2_row24_col29, #T_457a2_row24_col106, #T_457a2_row24_col211, #T_457a2_row24_col605, #T_457a2_row24_col749, #T_457a2_row24_col826 {\n",
       "  background-color: #dcdaeb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col885, #T_457a2_row2_col932, #T_457a2_row3_col194, #T_457a2_row3_col914, #T_457a2_row4_col1046, #T_457a2_row4_col1152, #T_457a2_row5_col39, #T_457a2_row5_col759, #T_457a2_row6_col250, #T_457a2_row6_col913, #T_457a2_row6_col970, #T_457a2_row6_col1334, #T_457a2_row8_col287, #T_457a2_row8_col295, #T_457a2_row8_col836, #T_457a2_row8_col936, #T_457a2_row8_col1015, #T_457a2_row9_col132, #T_457a2_row9_col142, #T_457a2_row9_col170, #T_457a2_row9_col652, #T_457a2_row9_col657, #T_457a2_row9_col862, #T_457a2_row9_col1268, #T_457a2_row10_col287, #T_457a2_row10_col554, #T_457a2_row10_col653, #T_457a2_row10_col704, #T_457a2_row10_col836, #T_457a2_row10_col1115, #T_457a2_row11_col961, #T_457a2_row11_col1323, #T_457a2_row13_col554, #T_457a2_row13_col661, #T_457a2_row14_col19, #T_457a2_row14_col210, #T_457a2_row14_col215, #T_457a2_row14_col379, #T_457a2_row14_col471, #T_457a2_row14_col648, #T_457a2_row14_col836, #T_457a2_row14_col892, #T_457a2_row14_col930, #T_457a2_row14_col935, #T_457a2_row16_col256, #T_457a2_row16_col616, #T_457a2_row16_col621, #T_457a2_row16_col976, #T_457a2_row16_col1288, #T_457a2_row16_col1354, #T_457a2_row16_col1400, #T_457a2_row17_col127, #T_457a2_row17_col847, #T_457a2_row18_col353, #T_457a2_row18_col1073, #T_457a2_row19_col335, #T_457a2_row19_col475, #T_457a2_row19_col653, #T_457a2_row21_col404, #T_457a2_row21_col577, #T_457a2_row21_col649, #T_457a2_row22_col109, #T_457a2_row22_col570, #T_457a2_row22_col1178, #T_457a2_row23_col49, #T_457a2_row23_col56, #T_457a2_row23_col177, #T_457a2_row23_col283, #T_457a2_row23_col357, #T_457a2_row23_col473, #T_457a2_row23_col478, #T_457a2_row23_col643, #T_457a2_row23_col769, #T_457a2_row23_col776, #T_457a2_row23_col1003, #T_457a2_row23_col1148, #T_457a2_row23_col1164, #T_457a2_row23_col1219, #T_457a2_row24_col335, #T_457a2_row24_col1228, #T_457a2_row24_col1348 {\n",
       "  background-color: #f4eef6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col919, #T_457a2_row1_col418, #T_457a2_row1_col420, #T_457a2_row1_col440, #T_457a2_row1_col1087, #T_457a2_row2_col380, #T_457a2_row4_col201, #T_457a2_row4_col584, #T_457a2_row4_col921, #T_457a2_row6_col851, #T_457a2_row7_col177, #T_457a2_row7_col340, #T_457a2_row7_col600, #T_457a2_row7_col865, #T_457a2_row7_col1060, #T_457a2_row7_col1389, #T_457a2_row7_col1394, #T_457a2_row9_col739, #T_457a2_row11_col1067, #T_457a2_row13_col80, #T_457a2_row13_col150, #T_457a2_row13_col784, #T_457a2_row13_col800, #T_457a2_row13_col870, #T_457a2_row14_col1165, #T_457a2_row14_col1234, #T_457a2_row14_col1302, #T_457a2_row14_col1309, #T_457a2_row15_col434, #T_457a2_row15_col1253, #T_457a2_row15_col1391, #T_457a2_row16_col1055, #T_457a2_row17_col348, #T_457a2_row17_col506, #T_457a2_row17_col599, #T_457a2_row17_col1068, #T_457a2_row17_col1117, #T_457a2_row20_col276, #T_457a2_row20_col506, #T_457a2_row20_col996, #T_457a2_row20_col1275, #T_457a2_row21_col1239, #T_457a2_row21_col1350, #T_457a2_row23_col1189, #T_457a2_row23_col1214, #T_457a2_row24_col1255 {\n",
       "  background-color: #03476f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col923, #T_457a2_row0_col1115, #T_457a2_row1_col70, #T_457a2_row1_col220, #T_457a2_row1_col1059, #T_457a2_row3_col575, #T_457a2_row3_col931, #T_457a2_row3_col1296, #T_457a2_row4_col95, #T_457a2_row4_col657, #T_457a2_row4_col815, #T_457a2_row5_col306, #T_457a2_row5_col412, #T_457a2_row5_col520, #T_457a2_row5_col704, #T_457a2_row5_col942, #T_457a2_row5_col978, #T_457a2_row5_col998, #T_457a2_row5_col1323, #T_457a2_row5_col1436, #T_457a2_row6_col548, #T_457a2_row6_col649, #T_457a2_row6_col691, #T_457a2_row6_col781, #T_457a2_row6_col1084, #T_457a2_row6_col1179, #T_457a2_row6_col1201, #T_457a2_row6_col1270, #T_457a2_row8_col36, #T_457a2_row8_col58, #T_457a2_row8_col95, #T_457a2_row8_col122, #T_457a2_row8_col179, #T_457a2_row8_col526, #T_457a2_row8_col697, #T_457a2_row8_col778, #T_457a2_row8_col815, #T_457a2_row8_col842, #T_457a2_row8_col964, #T_457a2_row9_col478, #T_457a2_row9_col1195, #T_457a2_row9_col1433, #T_457a2_row10_col17, #T_457a2_row10_col66, #T_457a2_row10_col117, #T_457a2_row10_col195, #T_457a2_row10_col218, #T_457a2_row10_col559, #T_457a2_row10_col562, #T_457a2_row10_col752, #T_457a2_row10_col786, #T_457a2_row10_col837, #T_457a2_row10_col915, #T_457a2_row10_col1337, #T_457a2_row10_col1359, #T_457a2_row11_col382, #T_457a2_row11_col387, #T_457a2_row11_col423, #T_457a2_row11_col660, #T_457a2_row11_col1213, #T_457a2_row11_col1360, #T_457a2_row11_col1411, #T_457a2_row12_col194, #T_457a2_row12_col357, #T_457a2_row12_col1062, #T_457a2_row12_col1077, #T_457a2_row12_col1176, #T_457a2_row12_col1184, #T_457a2_row12_col1272, #T_457a2_row13_col1407, #T_457a2_row14_col205, #T_457a2_row14_col250, #T_457a2_row14_col278, #T_457a2_row14_col325, #T_457a2_row14_col427, #T_457a2_row14_col622, #T_457a2_row14_col654, #T_457a2_row14_col925, #T_457a2_row14_col970, #T_457a2_row14_col998, #T_457a2_row14_col1045, #T_457a2_row14_col1055, #T_457a2_row15_col49, #T_457a2_row15_col72, #T_457a2_row15_col769, #T_457a2_row15_col792, #T_457a2_row16_col28, #T_457a2_row16_col288, #T_457a2_row16_col456, #T_457a2_row16_col532, #T_457a2_row16_col542, #T_457a2_row16_col748, #T_457a2_row16_col1022, #T_457a2_row16_col1199, #T_457a2_row16_col1206, #T_457a2_row16_col1331, #T_457a2_row17_col51, #T_457a2_row17_col128, #T_457a2_row17_col532, #T_457a2_row17_col621, #T_457a2_row17_col739, #T_457a2_row17_col771, #T_457a2_row18_col174, #T_457a2_row18_col616, #T_457a2_row18_col668, #T_457a2_row18_col894, #T_457a2_row19_col31, #T_457a2_row19_col228, #T_457a2_row19_col551, #T_457a2_row19_col948, #T_457a2_row19_col1015, #T_457a2_row19_col1382, #T_457a2_row20_col332, #T_457a2_row20_col381, #T_457a2_row20_col547, #T_457a2_row20_col563, #T_457a2_row20_col855, #T_457a2_row20_col1052, #T_457a2_row21_col155, #T_457a2_row21_col453, #T_457a2_row21_col530, #T_457a2_row21_col671, #T_457a2_row21_col826, #T_457a2_row21_col875, #T_457a2_row22_col278, #T_457a2_row22_col353, #T_457a2_row22_col378, #T_457a2_row22_col654, #T_457a2_row22_col658, #T_457a2_row22_col998, #T_457a2_row22_col1073, #T_457a2_row22_col1204, #T_457a2_row22_col1219, #T_457a2_row22_col1345, #T_457a2_row23_col87, #T_457a2_row23_col116, #T_457a2_row23_col152, #T_457a2_row23_col225, #T_457a2_row23_col378, #T_457a2_row23_col383, #T_457a2_row23_col390, #T_457a2_row23_col407, #T_457a2_row23_col460, #T_457a2_row23_col517, #T_457a2_row23_col603, #T_457a2_row23_col670, #T_457a2_row23_col712, #T_457a2_row23_col807, #T_457a2_row23_col872, #T_457a2_row23_col945, #T_457a2_row24_col26, #T_457a2_row24_col344, #T_457a2_row24_col571, #T_457a2_row24_col602, #T_457a2_row24_col694, #T_457a2_row24_col746, #T_457a2_row24_col764, #T_457a2_row24_col1058, #T_457a2_row24_col1117, #T_457a2_row24_col1158 {\n",
       "  background-color: #d6d6e9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1059, #T_457a2_row1_col194, #T_457a2_row1_col284, #T_457a2_row1_col914, #T_457a2_row2_col210, #T_457a2_row2_col930, #T_457a2_row2_col1192, #T_457a2_row4_col935, #T_457a2_row4_col1224, #T_457a2_row4_col1253, #T_457a2_row5_col1249, #T_457a2_row8_col72, #T_457a2_row8_col203, #T_457a2_row8_col224, #T_457a2_row8_col228, #T_457a2_row8_col252, #T_457a2_row8_col259, #T_457a2_row8_col385, #T_457a2_row8_col401, #T_457a2_row8_col588, #T_457a2_row8_col792, #T_457a2_row8_col944, #T_457a2_row8_col948, #T_457a2_row8_col972, #T_457a2_row9_col277, #T_457a2_row9_col997, #T_457a2_row10_col193, #T_457a2_row10_col229, #T_457a2_row10_col279, #T_457a2_row10_col822, #T_457a2_row10_col913, #T_457a2_row10_col949, #T_457a2_row10_col999, #T_457a2_row11_col1219, #T_457a2_row11_col1364, #T_457a2_row14_col127, #T_457a2_row14_col158, #T_457a2_row14_col229, #T_457a2_row14_col847, #T_457a2_row14_col878, #T_457a2_row14_col949, #T_457a2_row16_col246, #T_457a2_row16_col409, #T_457a2_row16_col626, #T_457a2_row16_col833, #T_457a2_row16_col834, #T_457a2_row16_col966, #T_457a2_row18_col302, #T_457a2_row18_col364, #T_457a2_row20_col366, #T_457a2_row21_col97, #T_457a2_row21_col174, #T_457a2_row21_col458, #T_457a2_row21_col1193, #T_457a2_row21_col1354, #T_457a2_row22_col107, #T_457a2_row22_col129, #T_457a2_row22_col146, #T_457a2_row22_col681, #T_457a2_row22_col827, #T_457a2_row22_col849, #T_457a2_row22_col866, #T_457a2_row22_col900, #T_457a2_row22_col1090, #T_457a2_row23_col173, #T_457a2_row23_col429, #T_457a2_row23_col476, #T_457a2_row23_col487, #T_457a2_row23_col520, #T_457a2_row23_col583, #T_457a2_row23_col698, #T_457a2_row23_col747, #T_457a2_row23_col893, #T_457a2_row24_col72, #T_457a2_row24_col337, #T_457a2_row24_col452, #T_457a2_row24_col478, #T_457a2_row24_col505, #T_457a2_row24_col792, #T_457a2_row24_col825, #T_457a2_row24_col1057 {\n",
       "  background-color: #eee8f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1105, #T_457a2_row2_col687, #T_457a2_row4_col603, #T_457a2_row4_col1112, #T_457a2_row4_col1245, #T_457a2_row5_col312, #T_457a2_row5_col582, #T_457a2_row5_col1072, #T_457a2_row6_col404, #T_457a2_row6_col418, #T_457a2_row6_col1085, #T_457a2_row6_col1425, #T_457a2_row8_col159, #T_457a2_row8_col260, #T_457a2_row8_col337, #T_457a2_row8_col380, #T_457a2_row8_col710, #T_457a2_row8_col748, #T_457a2_row8_col779, #T_457a2_row8_col821, #T_457a2_row8_col980, #T_457a2_row8_col1057, #T_457a2_row9_col648, #T_457a2_row9_col1108, #T_457a2_row9_col1257, #T_457a2_row10_col15, #T_457a2_row10_col465, #T_457a2_row10_col628, #T_457a2_row10_col643, #T_457a2_row10_col1065, #T_457a2_row10_col1419, #T_457a2_row11_col293, #T_457a2_row11_col1013, #T_457a2_row11_col1128, #T_457a2_row12_col927, #T_457a2_row13_col409, #T_457a2_row14_col159, #T_457a2_row14_col193, #T_457a2_row14_col628, #T_457a2_row14_col879, #T_457a2_row14_col913, #T_457a2_row14_col937, #T_457a2_row14_col1052, #T_457a2_row16_col267, #T_457a2_row16_col389, #T_457a2_row16_col412, #T_457a2_row16_col987, #T_457a2_row16_col1111, #T_457a2_row16_col1130, #T_457a2_row16_col1246, #T_457a2_row17_col591, #T_457a2_row17_col1397, #T_457a2_row18_col73, #T_457a2_row18_col793, #T_457a2_row18_col963, #T_457a2_row18_col1397, #T_457a2_row21_col19, #T_457a2_row22_col228, #T_457a2_row22_col495, #T_457a2_row22_col657, #T_457a2_row22_col668, #T_457a2_row22_col936, #T_457a2_row22_col948, #T_457a2_row22_col1079, #T_457a2_row23_col39, #T_457a2_row23_col135, #T_457a2_row23_col532, #T_457a2_row23_col855, #T_457a2_row24_col194, #T_457a2_row24_col423, #T_457a2_row24_col449, #T_457a2_row24_col718, #T_457a2_row24_col914, #T_457a2_row24_col1224, #T_457a2_row24_col1318, #T_457a2_row24_col1415 {\n",
       "  background-color: #f3edf5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1108, #T_457a2_row0_col1443, #T_457a2_row1_col321, #T_457a2_row1_col394, #T_457a2_row1_col484, #T_457a2_row1_col1041, #T_457a2_row1_col1157, #T_457a2_row1_col1179, #T_457a2_row1_col1271, #T_457a2_row2_col516, #T_457a2_row2_col739, #T_457a2_row2_col1343, #T_457a2_row3_col110, #T_457a2_row3_col279, #T_457a2_row3_col315, #T_457a2_row3_col410, #T_457a2_row3_col708, #T_457a2_row3_col830, #T_457a2_row3_col999, #T_457a2_row3_col1035, #T_457a2_row3_col1117, #T_457a2_row3_col1303, #T_457a2_row4_col745, #T_457a2_row4_col831, #T_457a2_row5_col559, #T_457a2_row5_col1143, #T_457a2_row5_col1191, #T_457a2_row5_col1303, #T_457a2_row5_col1371, #T_457a2_row6_col257, #T_457a2_row6_col299, #T_457a2_row6_col977, #T_457a2_row6_col1019, #T_457a2_row7_col36, #T_457a2_row7_col256, #T_457a2_row7_col467, #T_457a2_row7_col472, #T_457a2_row7_col615, #T_457a2_row7_col906, #T_457a2_row7_col976, #T_457a2_row7_col1370, #T_457a2_row8_col687, #T_457a2_row8_col1394, #T_457a2_row9_col1198, #T_457a2_row9_col1391, #T_457a2_row10_col1116, #T_457a2_row10_col1237, #T_457a2_row11_col219, #T_457a2_row12_col412, #T_457a2_row12_col528, #T_457a2_row12_col1274, #T_457a2_row12_col1343, #T_457a2_row12_col1401, #T_457a2_row13_col375, #T_457a2_row13_col455, #T_457a2_row14_col1138, #T_457a2_row14_col1157, #T_457a2_row14_col1391, #T_457a2_row14_col1411, #T_457a2_row15_col86, #T_457a2_row15_col360, #T_457a2_row15_col806, #T_457a2_row15_col1080, #T_457a2_row15_col1288, #T_457a2_row15_col1317, #T_457a2_row15_col1385, #T_457a2_row16_col123, #T_457a2_row17_col428, #T_457a2_row17_col1298, #T_457a2_row18_col717, #T_457a2_row19_col345, #T_457a2_row19_col687, #T_457a2_row19_col1065, #T_457a2_row19_col1121, #T_457a2_row20_col1202, #T_457a2_row20_col1375, #T_457a2_row21_col667, #T_457a2_row21_col1096, #T_457a2_row21_col1134, #T_457a2_row22_col695, #T_457a2_row22_col1251, #T_457a2_row23_col153, #T_457a2_row23_col873, #T_457a2_row23_col1129, #T_457a2_row23_col1261 {\n",
       "  background-color: #04649d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col1109, #T_457a2_row0_col1281, #T_457a2_row1_col1420, #T_457a2_row3_col184, #T_457a2_row3_col576, #T_457a2_row3_col904, #T_457a2_row4_col317, #T_457a2_row4_col1027, #T_457a2_row4_col1037, #T_457a2_row5_col552, #T_457a2_row7_col110, #T_457a2_row7_col181, #T_457a2_row7_col336, #T_457a2_row7_col440, #T_457a2_row7_col500, #T_457a2_row7_col901, #T_457a2_row7_col1407, #T_457a2_row9_col996, #T_457a2_row13_col110, #T_457a2_row13_col143, #T_457a2_row13_col698, #T_457a2_row13_col745, #T_457a2_row13_col863, #T_457a2_row14_col1262, #T_457a2_row14_col1289, #T_457a2_row15_col275, #T_457a2_row15_col578, #T_457a2_row15_col689, #T_457a2_row15_col1213, #T_457a2_row16_col582, #T_457a2_row17_col343, #T_457a2_row17_col1063, #T_457a2_row17_col1349, #T_457a2_row17_col1412, #T_457a2_row18_col1392, #T_457a2_row22_col1277, #T_457a2_row23_col154, #T_457a2_row23_col874 {\n",
       "  background-color: #03446a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_457a2_row0_col1172, #T_457a2_row0_col1292, #T_457a2_row0_col1440, #T_457a2_row1_col41, #T_457a2_row1_col111, #T_457a2_row1_col268, #T_457a2_row1_col337, #T_457a2_row1_col404, #T_457a2_row1_col761, #T_457a2_row1_col768, #T_457a2_row1_col831, #T_457a2_row1_col988, #T_457a2_row1_col1001, #T_457a2_row1_col1057, #T_457a2_row1_col1097, #T_457a2_row2_col6, #T_457a2_row2_col607, #T_457a2_row2_col631, #T_457a2_row2_col726, #T_457a2_row2_col1311, #T_457a2_row2_col1327, #T_457a2_row3_col98, #T_457a2_row3_col321, #T_457a2_row3_col447, #T_457a2_row3_col617, #T_457a2_row3_col818, #T_457a2_row3_col1041, #T_457a2_row3_col1346, #T_457a2_row3_col1424, #T_457a2_row4_col149, #T_457a2_row4_col322, #T_457a2_row4_col369, #T_457a2_row4_col652, #T_457a2_row4_col869, #T_457a2_row4_col1042, #T_457a2_row4_col1099, #T_457a2_row4_col1286, #T_457a2_row5_col164, #T_457a2_row5_col253, #T_457a2_row5_col416, #T_457a2_row5_col566, #T_457a2_row5_col663, #T_457a2_row5_col670, #T_457a2_row5_col673, #T_457a2_row5_col884, #T_457a2_row5_col973, #T_457a2_row5_col1101, #T_457a2_row5_col1244, #T_457a2_row5_col1372, #T_457a2_row6_col40, #T_457a2_row6_col47, #T_457a2_row6_col51, #T_457a2_row6_col445, #T_457a2_row6_col511, #T_457a2_row6_col760, #T_457a2_row6_col771, #T_457a2_row6_col961, #T_457a2_row6_col963, #T_457a2_row6_col1016, #T_457a2_row6_col1290, #T_457a2_row6_col1305, #T_457a2_row6_col1339, #T_457a2_row7_col413, #T_457a2_row8_col69, #T_457a2_row8_col184, #T_457a2_row8_col372, #T_457a2_row8_col594, #T_457a2_row8_col617, #T_457a2_row8_col904, #T_457a2_row8_col1269, #T_457a2_row9_col65, #T_457a2_row9_col226, #T_457a2_row9_col434, #T_457a2_row9_col662, #T_457a2_row9_col785, #T_457a2_row9_col885, #T_457a2_row9_col946, #T_457a2_row10_col202, #T_457a2_row10_col421, #T_457a2_row10_col497, #T_457a2_row10_col922, #T_457a2_row10_col1234, #T_457a2_row10_col1357, #T_457a2_row11_col309, #T_457a2_row11_col390, #T_457a2_row11_col546, #T_457a2_row11_col765, #T_457a2_row11_col1220, #T_457a2_row11_col1394, #T_457a2_row12_col1131, #T_457a2_row12_col1328, #T_457a2_row13_col376, #T_457a2_row13_col435, #T_457a2_row13_col1117, #T_457a2_row13_col1227, #T_457a2_row13_col1358, #T_457a2_row14_col249, #T_457a2_row14_col492, #T_457a2_row14_col1250, #T_457a2_row14_col1310, #T_457a2_row15_col103, #T_457a2_row15_col227, #T_457a2_row15_col269, #T_457a2_row15_col475, #T_457a2_row15_col728, #T_457a2_row15_col823, #T_457a2_row15_col947, #T_457a2_row15_col989, #T_457a2_row15_col1040, #T_457a2_row16_col132, #T_457a2_row16_col143, #T_457a2_row16_col303, #T_457a2_row16_col440, #T_457a2_row16_col852, #T_457a2_row16_col863, #T_457a2_row16_col1023, #T_457a2_row17_col259, #T_457a2_row17_col573, #T_457a2_row17_col979, #T_457a2_row17_col1040, #T_457a2_row17_col1092, #T_457a2_row17_col1383, #T_457a2_row17_col1418, #T_457a2_row18_col153, #T_457a2_row18_col230, #T_457a2_row18_col242, #T_457a2_row18_col371, #T_457a2_row18_col527, #T_457a2_row18_col873, #T_457a2_row18_col950, #T_457a2_row19_col499, #T_457a2_row19_col569, #T_457a2_row19_col618, #T_457a2_row19_col704, #T_457a2_row19_col916, #T_457a2_row20_col28, #T_457a2_row20_col340, #T_457a2_row20_col748, #T_457a2_row20_col879, #T_457a2_row20_col1327, #T_457a2_row20_col1365, #T_457a2_row20_col1389, #T_457a2_row21_col246, #T_457a2_row21_col399, #T_457a2_row21_col1293, #T_457a2_row22_col5, #T_457a2_row22_col24, #T_457a2_row22_col227, #T_457a2_row22_col247, #T_457a2_row22_col293, #T_457a2_row22_col507, #T_457a2_row22_col677, #T_457a2_row22_col725, #T_457a2_row22_col744, #T_457a2_row22_col885, #T_457a2_row22_col947, #T_457a2_row22_col967, #T_457a2_row22_col1013, #T_457a2_row23_col164, #T_457a2_row23_col570, #T_457a2_row23_col609, #T_457a2_row23_col611, #T_457a2_row23_col660, #T_457a2_row23_col884, #T_457a2_row23_col917, #T_457a2_row23_col952, #T_457a2_row24_col345, #T_457a2_row24_col373, #T_457a2_row24_col457, #T_457a2_row24_col679, #T_457a2_row24_col1251 {\n",
       "  background-color: #a8bedc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1202, #T_457a2_row1_col239, #T_457a2_row1_col295, #T_457a2_row1_col344, #T_457a2_row1_col397, #T_457a2_row1_col563, #T_457a2_row1_col959, #T_457a2_row1_col1064, #T_457a2_row2_col302, #T_457a2_row2_col1022, #T_457a2_row3_col476, #T_457a2_row4_col524, #T_457a2_row4_col1130, #T_457a2_row4_col1442, #T_457a2_row5_col36, #T_457a2_row5_col229, #T_457a2_row5_col672, #T_457a2_row5_col917, #T_457a2_row5_col949, #T_457a2_row5_col963, #T_457a2_row6_col256, #T_457a2_row6_col461, #T_457a2_row6_col639, #T_457a2_row6_col661, #T_457a2_row6_col976, #T_457a2_row6_col1176, #T_457a2_row6_col1218, #T_457a2_row8_col6, #T_457a2_row8_col31, #T_457a2_row8_col42, #T_457a2_row8_col169, #T_457a2_row8_col261, #T_457a2_row8_col288, #T_457a2_row8_col338, #T_457a2_row8_col379, #T_457a2_row8_col532, #T_457a2_row8_col619, #T_457a2_row8_col722, #T_457a2_row8_col726, #T_457a2_row8_col762, #T_457a2_row8_col889, #T_457a2_row8_col981, #T_457a2_row8_col1008, #T_457a2_row8_col1012, #T_457a2_row8_col1058, #T_457a2_row8_col1069, #T_457a2_row8_col1219, #T_457a2_row9_col449, #T_457a2_row9_col492, #T_457a2_row9_col502, #T_457a2_row9_col1375, #T_457a2_row10_col213, #T_457a2_row10_col294, #T_457a2_row10_col344, #T_457a2_row10_col358, #T_457a2_row10_col377, #T_457a2_row10_col396, #T_457a2_row10_col550, #T_457a2_row10_col625, #T_457a2_row10_col682, #T_457a2_row10_col714, #T_457a2_row10_col933, #T_457a2_row10_col1014, #T_457a2_row10_col1064, #T_457a2_row10_col1078, #T_457a2_row10_col1128, #T_457a2_row10_col1142, #T_457a2_row10_col1219, #T_457a2_row11_col213, #T_457a2_row11_col227, #T_457a2_row11_col488, #T_457a2_row11_col517, #T_457a2_row11_col571, #T_457a2_row11_col694, #T_457a2_row11_col723, #T_457a2_row11_col933, #T_457a2_row11_col947, #T_457a2_row11_col1085, #T_457a2_row11_col1183, #T_457a2_row11_col1222, #T_457a2_row11_col1291, #T_457a2_row14_col4, #T_457a2_row14_col33, #T_457a2_row14_col75, #T_457a2_row14_col145, #T_457a2_row14_col154, #T_457a2_row14_col285, #T_457a2_row14_col320, #T_457a2_row14_col337, #T_457a2_row14_col357, #T_457a2_row14_col358, #T_457a2_row14_col370, #T_457a2_row14_col394, #T_457a2_row14_col475, #T_457a2_row14_col478, #T_457a2_row14_col638, #T_457a2_row14_col724, #T_457a2_row14_col753, #T_457a2_row14_col754, #T_457a2_row14_col865, #T_457a2_row14_col874, #T_457a2_row14_col1040, #T_457a2_row14_col1057, #T_457a2_row14_col1077, #T_457a2_row14_col1078, #T_457a2_row15_col32, #T_457a2_row15_col209, #T_457a2_row15_col748, #T_457a2_row15_col752, #T_457a2_row15_col762, #T_457a2_row16_col88, #T_457a2_row16_col210, #T_457a2_row16_col258, #T_457a2_row16_col262, #T_457a2_row16_col306, #T_457a2_row16_col411, #T_457a2_row16_col472, #T_457a2_row16_col498, #T_457a2_row16_col526, #T_457a2_row16_col550, #T_457a2_row16_col565, #T_457a2_row16_col628, #T_457a2_row16_col808, #T_457a2_row16_col930, #T_457a2_row16_col978, #T_457a2_row16_col982, #T_457a2_row16_col1180, #T_457a2_row16_col1345, #T_457a2_row17_col101, #T_457a2_row17_col212, #T_457a2_row17_col544, #T_457a2_row17_col619, #T_457a2_row17_col821, #T_457a2_row17_col932, #T_457a2_row18_col443, #T_457a2_row18_col518, #T_457a2_row18_col603, #T_457a2_row19_col211, #T_457a2_row19_col297, #T_457a2_row19_col931, #T_457a2_row19_col1017, #T_457a2_row19_col1182, #T_457a2_row20_col207, #T_457a2_row20_col213, #T_457a2_row20_col933, #T_457a2_row20_col1182, #T_457a2_row21_col70, #T_457a2_row21_col90, #T_457a2_row21_col276, #T_457a2_row21_col790, #T_457a2_row21_col810, #T_457a2_row21_col996, #T_457a2_row21_col1217, #T_457a2_row22_col138, #T_457a2_row22_col183, #T_457a2_row22_col225, #T_457a2_row22_col260, #T_457a2_row22_col303, #T_457a2_row22_col466, #T_457a2_row22_col471, #T_457a2_row22_col477, #T_457a2_row22_col539, #T_457a2_row22_col621, #T_457a2_row22_col687, #T_457a2_row22_col837, #T_457a2_row22_col858, #T_457a2_row22_col903, #T_457a2_row22_col945, #T_457a2_row22_col980, #T_457a2_row22_col1023, #T_457a2_row22_col1089, #T_457a2_row22_col1093, #T_457a2_row23_col13, #T_457a2_row23_col117, #T_457a2_row23_col194, #T_457a2_row23_col237, #T_457a2_row23_col257, #T_457a2_row23_col406, #T_457a2_row23_col550, #T_457a2_row23_col553, #T_457a2_row23_col577, #T_457a2_row23_col585, #T_457a2_row23_col733, #T_457a2_row23_col837, #T_457a2_row23_col957, #T_457a2_row23_col977, #T_457a2_row23_col1265, #T_457a2_row24_col30, #T_457a2_row24_col41, #T_457a2_row24_col462, #T_457a2_row24_col495, #T_457a2_row24_col525, #T_457a2_row24_col532, #T_457a2_row24_col606, #T_457a2_row24_col750, #T_457a2_row24_col1014, #T_457a2_row24_col1142, #T_457a2_row24_col1144, #T_457a2_row24_col1246, #T_457a2_row24_col1404 {\n",
       "  background-color: #f0eaf4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1250, #T_457a2_row0_col1296, #T_457a2_row1_col176, #T_457a2_row1_col265, #T_457a2_row1_col467, #T_457a2_row1_col896, #T_457a2_row1_col985, #T_457a2_row1_col1418, #T_457a2_row2_col425, #T_457a2_row2_col442, #T_457a2_row2_col495, #T_457a2_row2_col581, #T_457a2_row2_col1441, #T_457a2_row3_col623, #T_457a2_row3_col1190, #T_457a2_row3_col1267, #T_457a2_row4_col183, #T_457a2_row4_col698, #T_457a2_row4_col903, #T_457a2_row4_col1092, #T_457a2_row4_col1250, #T_457a2_row4_col1268, #T_457a2_row4_col1299, #T_457a2_row5_col588, #T_457a2_row5_col834, #T_457a2_row6_col83, #T_457a2_row6_col146, #T_457a2_row6_col161, #T_457a2_row6_col421, #T_457a2_row6_col866, #T_457a2_row6_col1346, #T_457a2_row6_col1350, #T_457a2_row7_col822, #T_457a2_row7_col1147, #T_457a2_row8_col84, #T_457a2_row8_col86, #T_457a2_row8_col121, #T_457a2_row8_col156, #T_457a2_row8_col330, #T_457a2_row8_col804, #T_457a2_row8_col806, #T_457a2_row8_col841, #T_457a2_row8_col876, #T_457a2_row8_col1050, #T_457a2_row9_col338, #T_457a2_row9_col383, #T_457a2_row9_col541, #T_457a2_row9_col1058, #T_457a2_row9_col1305, #T_457a2_row9_col1314, #T_457a2_row10_col448, #T_457a2_row10_col764, #T_457a2_row11_col52, #T_457a2_row11_col281, #T_457a2_row11_col433, #T_457a2_row11_col772, #T_457a2_row11_col837, #T_457a2_row11_col873, #T_457a2_row11_col1142, #T_457a2_row11_col1302, #T_457a2_row11_col1325, #T_457a2_row11_col1353, #T_457a2_row11_col1429, #T_457a2_row12_col25, #T_457a2_row12_col236, #T_457a2_row12_col508, #T_457a2_row12_col664, #T_457a2_row12_col745, #T_457a2_row12_col956, #T_457a2_row13_col32, #T_457a2_row13_col195, #T_457a2_row13_col623, #T_457a2_row13_col915, #T_457a2_row14_col15, #T_457a2_row14_col571, #T_457a2_row14_col639, #T_457a2_row14_col735, #T_457a2_row14_col801, #T_457a2_row14_col837, #T_457a2_row14_col1414, #T_457a2_row15_col244, #T_457a2_row15_col664, #T_457a2_row15_col808, #T_457a2_row15_col964, #T_457a2_row16_col82, #T_457a2_row16_col173, #T_457a2_row16_col421, #T_457a2_row16_col802, #T_457a2_row16_col841, #T_457a2_row16_col893, #T_457a2_row16_col925, #T_457a2_row16_col1121, #T_457a2_row16_col1303, #T_457a2_row17_col38, #T_457a2_row17_col49, #T_457a2_row17_col112, #T_457a2_row17_col241, #T_457a2_row17_col268, #T_457a2_row17_col530, #T_457a2_row17_col758, #T_457a2_row17_col769, #T_457a2_row17_col832, #T_457a2_row17_col961, #T_457a2_row17_col988, #T_457a2_row17_col1103, #T_457a2_row17_col1285, #T_457a2_row18_col22, #T_457a2_row18_col156, #T_457a2_row18_col546, #T_457a2_row18_col557, #T_457a2_row18_col674, #T_457a2_row18_col742, #T_457a2_row18_col876, #T_457a2_row18_col1188, #T_457a2_row18_col1250, #T_457a2_row19_col48, #T_457a2_row19_col138, #T_457a2_row19_col176, #T_457a2_row19_col517, #T_457a2_row19_col858, #T_457a2_row19_col1057, #T_457a2_row19_col1275, #T_457a2_row19_col1339, #T_457a2_row20_col18, #T_457a2_row20_col678, #T_457a2_row20_col738, #T_457a2_row20_col1418, #T_457a2_row20_col1436, #T_457a2_row21_col434, #T_457a2_row21_col442, #T_457a2_row21_col592, #T_457a2_row21_col901, #T_457a2_row21_col1210, #T_457a2_row21_col1274, #T_457a2_row21_col1439, #T_457a2_row22_col241, #T_457a2_row22_col305, #T_457a2_row22_col313, #T_457a2_row22_col501, #T_457a2_row22_col569, #T_457a2_row22_col715, #T_457a2_row22_col1223, #T_457a2_row23_col210, #T_457a2_row23_col379, #T_457a2_row23_col464, #T_457a2_row23_col555, #T_457a2_row23_col628, #T_457a2_row23_col930, #T_457a2_row23_col1120, #T_457a2_row23_col1355, #T_457a2_row24_col10, #T_457a2_row24_col25, #T_457a2_row24_col135, #T_457a2_row24_col504, #T_457a2_row24_col543, #T_457a2_row24_col730, #T_457a2_row24_col745, #T_457a2_row24_col747, #T_457a2_row24_col855, #T_457a2_row24_col1051, #T_457a2_row24_col1145, #T_457a2_row24_col1296 {\n",
       "  background-color: #bdc8e1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1263, #T_457a2_row1_col114, #T_457a2_row1_col118, #T_457a2_row1_col242, #T_457a2_row1_col415, #T_457a2_row1_col475, #T_457a2_row1_col826, #T_457a2_row1_col834, #T_457a2_row1_col838, #T_457a2_row2_col588, #T_457a2_row2_col593, #T_457a2_row2_col692, #T_457a2_row2_col1145, #T_457a2_row3_col28, #T_457a2_row3_col30, #T_457a2_row3_col209, #T_457a2_row3_col441, #T_457a2_row3_col748, #T_457a2_row3_col750, #T_457a2_row3_col929, #T_457a2_row3_col1246, #T_457a2_row4_col352, #T_457a2_row4_col564, #T_457a2_row4_col641, #T_457a2_row4_col659, #T_457a2_row4_col1151, #T_457a2_row4_col1350, #T_457a2_row4_col1394, #T_457a2_row5_col297, #T_457a2_row5_col529, #T_457a2_row5_col576, #T_457a2_row5_col723, #T_457a2_row5_col760, #T_457a2_row5_col1017, #T_457a2_row5_col1264, #T_457a2_row6_col183, #T_457a2_row6_col456, #T_457a2_row6_col903, #T_457a2_row6_col1032, #T_457a2_row6_col1213, #T_457a2_row6_col1404, #T_457a2_row8_col96, #T_457a2_row8_col149, #T_457a2_row8_col291, #T_457a2_row8_col366, #T_457a2_row8_col446, #T_457a2_row8_col816, #T_457a2_row8_col869, #T_457a2_row8_col1011, #T_457a2_row9_col598, #T_457a2_row9_col1390, #T_457a2_row9_col1419, #T_457a2_row9_col1420, #T_457a2_row10_col297, #T_457a2_row10_col390, #T_457a2_row10_col512, #T_457a2_row11_col37, #T_457a2_row11_col338, #T_457a2_row11_col531, #T_457a2_row11_col757, #T_457a2_row11_col1102, #T_457a2_row12_col13, #T_457a2_row12_col256, #T_457a2_row12_col487, #T_457a2_row12_col522, #T_457a2_row12_col568, #T_457a2_row12_col733, #T_457a2_row12_col778, #T_457a2_row12_col976, #T_457a2_row13_col393, #T_457a2_row13_col1416, #T_457a2_row13_col1418, #T_457a2_row14_col78, #T_457a2_row14_col140, #T_457a2_row14_col328, #T_457a2_row14_col333, #T_457a2_row14_col542, #T_457a2_row14_col543, #T_457a2_row14_col682, #T_457a2_row14_col798, #T_457a2_row14_col842, #T_457a2_row14_col860, #T_457a2_row14_col1048, #T_457a2_row14_col1053, #T_457a2_row15_col117, #T_457a2_row15_col207, #T_457a2_row15_col927, #T_457a2_row15_col1097, #T_457a2_row16_col15, #T_457a2_row16_col78, #T_457a2_row16_col189, #T_457a2_row16_col572, #T_457a2_row16_col589, #T_457a2_row16_col735, #T_457a2_row16_col798, #T_457a2_row16_col1128, #T_457a2_row16_col1229, #T_457a2_row16_col1337, #T_457a2_row17_col262, #T_457a2_row17_col297, #T_457a2_row17_col469, #T_457a2_row17_col492, #T_457a2_row17_col735, #T_457a2_row17_col1017, #T_457a2_row17_col1249, #T_457a2_row17_col1261, #T_457a2_row17_col1321, #T_457a2_row18_col43, #T_457a2_row18_col89, #T_457a2_row18_col292, #T_457a2_row18_col354, #T_457a2_row18_col382, #T_457a2_row18_col431, #T_457a2_row18_col458, #T_457a2_row18_col710, #T_457a2_row18_col763, #T_457a2_row18_col809, #T_457a2_row18_col1012, #T_457a2_row18_col1074, #T_457a2_row19_col92, #T_457a2_row19_col98, #T_457a2_row19_col298, #T_457a2_row19_col374, #T_457a2_row19_col620, #T_457a2_row19_col812, #T_457a2_row19_col818, #T_457a2_row19_col1018, #T_457a2_row19_col1141, #T_457a2_row19_col1171, #T_457a2_row20_col281, #T_457a2_row20_col386, #T_457a2_row20_col499, #T_457a2_row20_col1001, #T_457a2_row21_col8, #T_457a2_row21_col78, #T_457a2_row21_col140, #T_457a2_row21_col238, #T_457a2_row21_col289, #T_457a2_row21_col475, #T_457a2_row21_col703, #T_457a2_row21_col728, #T_457a2_row21_col860, #T_457a2_row21_col958, #T_457a2_row21_col1009, #T_457a2_row22_col295, #T_457a2_row22_col302, #T_457a2_row22_col309, #T_457a2_row22_col352, #T_457a2_row22_col438, #T_457a2_row22_col453, #T_457a2_row22_col517, #T_457a2_row22_col601, #T_457a2_row22_col648, #T_457a2_row22_col1015, #T_457a2_row22_col1029, #T_457a2_row22_col1035, #T_457a2_row22_col1418, #T_457a2_row23_col85, #T_457a2_row23_col91, #T_457a2_row23_col111, #T_457a2_row23_col115, #T_457a2_row23_col562, #T_457a2_row23_col635, #T_457a2_row23_col805, #T_457a2_row23_col811, #T_457a2_row23_col831, #T_457a2_row23_col1030, #T_457a2_row24_col227, #T_457a2_row24_col296, #T_457a2_row24_col540, #T_457a2_row24_col648, #T_457a2_row24_col1008 {\n",
       "  background-color: #d2d3e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1321, #T_457a2_row1_col302, #T_457a2_row1_col486, #T_457a2_row2_col180, #T_457a2_row2_col292, #T_457a2_row2_col677, #T_457a2_row2_col900, #T_457a2_row2_col1012, #T_457a2_row2_col1093, #T_457a2_row2_col1176, #T_457a2_row2_col1187, #T_457a2_row3_col54, #T_457a2_row3_col264, #T_457a2_row3_col458, #T_457a2_row3_col622, #T_457a2_row3_col774, #T_457a2_row3_col950, #T_457a2_row3_col984, #T_457a2_row3_col1088, #T_457a2_row3_col1272, #T_457a2_row3_col1429, #T_457a2_row4_col398, #T_457a2_row4_col509, #T_457a2_row4_col619, #T_457a2_row4_col709, #T_457a2_row4_col1155, #T_457a2_row4_col1303, #T_457a2_row4_col1353, #T_457a2_row5_col98, #T_457a2_row5_col303, #T_457a2_row5_col446, #T_457a2_row5_col477, #T_457a2_row5_col817, #T_457a2_row5_col818, #T_457a2_row5_col891, #T_457a2_row5_col1023, #T_457a2_row5_col1324, #T_457a2_row6_col476, #T_457a2_row6_col501, #T_457a2_row6_col523, #T_457a2_row6_col1113, #T_457a2_row7_col57, #T_457a2_row7_col326, #T_457a2_row7_col777, #T_457a2_row7_col1046, #T_457a2_row7_col1324, #T_457a2_row8_col304, #T_457a2_row8_col443, #T_457a2_row8_col488, #T_457a2_row8_col713, #T_457a2_row8_col1024, #T_457a2_row8_col1079, #T_457a2_row8_col1195, #T_457a2_row9_col112, #T_457a2_row9_col239, #T_457a2_row9_col266, #T_457a2_row9_col374, #T_457a2_row9_col499, #T_457a2_row9_col959, #T_457a2_row9_col986, #T_457a2_row9_col1012, #T_457a2_row9_col1159, #T_457a2_row10_col65, #T_457a2_row10_col284, #T_457a2_row10_col379, #T_457a2_row10_col391, #T_457a2_row10_col503, #T_457a2_row10_col541, #T_457a2_row10_col549, #T_457a2_row10_col785, #T_457a2_row10_col1096, #T_457a2_row10_col1174, #T_457a2_row11_col103, #T_457a2_row11_col268, #T_457a2_row11_col367, #T_457a2_row11_col823, #T_457a2_row11_col988, #T_457a2_row11_col1243, #T_457a2_row12_col12, #T_457a2_row12_col732, #T_457a2_row12_col1216, #T_457a2_row13_col1245, #T_457a2_row13_col1252, #T_457a2_row14_col132, #T_457a2_row14_col236, #T_457a2_row14_col387, #T_457a2_row14_col511, #T_457a2_row14_col534, #T_457a2_row14_col672, #T_457a2_row14_col956, #T_457a2_row15_col108, #T_457a2_row15_col124, #T_457a2_row15_col828, #T_457a2_row16_col396, #T_457a2_row16_col1223, #T_457a2_row17_col232, #T_457a2_row17_col281, #T_457a2_row17_col952, #T_457a2_row17_col1001, #T_457a2_row17_col1026, #T_457a2_row17_col1215, #T_457a2_row18_col240, #T_457a2_row18_col550, #T_457a2_row18_col626, #T_457a2_row18_col687, #T_457a2_row18_col762, #T_457a2_row18_col893, #T_457a2_row18_col960, #T_457a2_row18_col1098, #T_457a2_row18_col1168, #T_457a2_row18_col1327, #T_457a2_row19_col40, #T_457a2_row19_col43, #T_457a2_row19_col287, #T_457a2_row19_col303, #T_457a2_row19_col390, #T_457a2_row19_col760, #T_457a2_row19_col763, #T_457a2_row19_col776, #T_457a2_row19_col783, #T_457a2_row19_col977, #T_457a2_row20_col17, #T_457a2_row20_col21, #T_457a2_row20_col573, #T_457a2_row20_col619, #T_457a2_row20_col737, #T_457a2_row20_col741, #T_457a2_row20_col948, #T_457a2_row21_col108, #T_457a2_row21_col196, #T_457a2_row21_col373, #T_457a2_row21_col461, #T_457a2_row21_col559, #T_457a2_row21_col676, #T_457a2_row21_col723, #T_457a2_row21_col828, #T_457a2_row21_col916, #T_457a2_row21_col977, #T_457a2_row21_col1359, #T_457a2_row22_col80, #T_457a2_row22_col238, #T_457a2_row22_col281, #T_457a2_row22_col287, #T_457a2_row22_col291, #T_457a2_row22_col320, #T_457a2_row22_col414, #T_457a2_row22_col429, #T_457a2_row22_col448, #T_457a2_row22_col469, #T_457a2_row22_col599, #T_457a2_row22_col800, #T_457a2_row22_col876, #T_457a2_row22_col958, #T_457a2_row22_col1001, #T_457a2_row22_col1007, #T_457a2_row22_col1011, #T_457a2_row22_col1040, #T_457a2_row22_col1441, #T_457a2_row23_col83, #T_457a2_row23_col144, #T_457a2_row23_col224, #T_457a2_row23_col468, #T_457a2_row23_col803, #T_457a2_row23_col864, #T_457a2_row23_col877, #T_457a2_row23_col937, #T_457a2_row23_col944, #T_457a2_row23_col1097, #T_457a2_row23_col1234, #T_457a2_row23_col1339, #T_457a2_row24_col34, #T_457a2_row24_col164, #T_457a2_row24_col396, #T_457a2_row24_col652, #T_457a2_row24_col754, #T_457a2_row24_col757, #T_457a2_row24_col884, #T_457a2_row24_col1274, #T_457a2_row24_col1418 {\n",
       "  background-color: #c8cde4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1373, #T_457a2_row1_col227, #T_457a2_row2_col413, #T_457a2_row2_col832, #T_457a2_row2_col885, #T_457a2_row2_col1442, #T_457a2_row3_col166, #T_457a2_row3_col266, #T_457a2_row3_col490, #T_457a2_row4_col392, #T_457a2_row4_col480, #T_457a2_row4_col1327, #T_457a2_row5_col531, #T_457a2_row6_col395, #T_457a2_row6_col550, #T_457a2_row6_col699, #T_457a2_row6_col1087, #T_457a2_row7_col379, #T_457a2_row8_col11, #T_457a2_row8_col39, #T_457a2_row8_col56, #T_457a2_row8_col466, #T_457a2_row8_col529, #T_457a2_row8_col670, #T_457a2_row8_col731, #T_457a2_row8_col759, #T_457a2_row8_col776, #T_457a2_row9_col113, #T_457a2_row9_col833, #T_457a2_row9_col1015, #T_457a2_row9_col1241, #T_457a2_row10_col209, #T_457a2_row10_col445, #T_457a2_row10_col929, #T_457a2_row10_col1418, #T_457a2_row11_col415, #T_457a2_row11_col718, #T_457a2_row11_col937, #T_457a2_row11_col1152, #T_457a2_row11_col1398, #T_457a2_row12_col15, #T_457a2_row12_col37, #T_457a2_row12_col550, #T_457a2_row12_col596, #T_457a2_row12_col603, #T_457a2_row12_col735, #T_457a2_row12_col959, #T_457a2_row12_col1363, #T_457a2_row14_col41, #T_457a2_row14_col133, #T_457a2_row14_col487, #T_457a2_row14_col556, #T_457a2_row14_col557, #T_457a2_row14_col761, #T_457a2_row14_col853, #T_457a2_row14_col1027, #T_457a2_row15_col544, #T_457a2_row15_col683, #T_457a2_row16_col99, #T_457a2_row16_col275, #T_457a2_row16_col432, #T_457a2_row16_col505, #T_457a2_row16_col509, #T_457a2_row16_col521, #T_457a2_row16_col662, #T_457a2_row16_col739, #T_457a2_row16_col819, #T_457a2_row16_col1109, #T_457a2_row16_col1154, #T_457a2_row16_col1167, #T_457a2_row17_col108, #T_457a2_row17_col265, #T_457a2_row17_col323, #T_457a2_row17_col467, #T_457a2_row17_col493, #T_457a2_row17_col507, #T_457a2_row17_col534, #T_457a2_row17_col828, #T_457a2_row17_col985, #T_457a2_row17_col1043, #T_457a2_row17_col1306, #T_457a2_row18_col195, #T_457a2_row18_col265, #T_457a2_row18_col533, #T_457a2_row18_col927, #T_457a2_row18_col985, #T_457a2_row18_col1339, #T_457a2_row20_col335, #T_457a2_row21_col146, #T_457a2_row21_col292, #T_457a2_row21_col301, #T_457a2_row21_col471, #T_457a2_row21_col806, #T_457a2_row21_col866, #T_457a2_row21_col946, #T_457a2_row21_col1012, #T_457a2_row21_col1105, #T_457a2_row21_col1370, #T_457a2_row22_col101, #T_457a2_row22_col357, #T_457a2_row22_col959, #T_457a2_row22_col1077, #T_457a2_row23_col103, #T_457a2_row23_col422, #T_457a2_row23_col474, #T_457a2_row23_col823, #T_457a2_row23_col1270, #T_457a2_row24_col79, #T_457a2_row24_col108, #T_457a2_row24_col343, #T_457a2_row24_col598, #T_457a2_row24_col660, #T_457a2_row24_col716, #T_457a2_row24_col723, #T_457a2_row24_col828, #T_457a2_row24_col1220, #T_457a2_row24_col1270 {\n",
       "  background-color: #e1dfed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1418, #T_457a2_row1_col301, #T_457a2_row1_col449, #T_457a2_row1_col1021, #T_457a2_row2_col30, #T_457a2_row2_col215, #T_457a2_row2_col293, #T_457a2_row2_col426, #T_457a2_row2_col750, #T_457a2_row2_col935, #T_457a2_row2_col1013, #T_457a2_row3_col20, #T_457a2_row3_col391, #T_457a2_row3_col740, #T_457a2_row3_col970, #T_457a2_row4_col718, #T_457a2_row4_col1149, #T_457a2_row4_col1259, #T_457a2_row4_col1344, #T_457a2_row4_col1346, #T_457a2_row5_col394, #T_457a2_row5_col662, #T_457a2_row5_col893, #T_457a2_row5_col1243, #T_457a2_row6_col99, #T_457a2_row6_col283, #T_457a2_row6_col419, #T_457a2_row6_col772, #T_457a2_row6_col819, #T_457a2_row6_col1003, #T_457a2_row6_col1089, #T_457a2_row7_col39, #T_457a2_row7_col621, #T_457a2_row7_col957, #T_457a2_row7_col1148, #T_457a2_row8_col40, #T_457a2_row8_col331, #T_457a2_row8_col760, #T_457a2_row8_col833, #T_457a2_row8_col1051, #T_457a2_row8_col1141, #T_457a2_row8_col1418, #T_457a2_row9_col667, #T_457a2_row9_col877, #T_457a2_row9_col1272, #T_457a2_row9_col1422, #T_457a2_row10_col18, #T_457a2_row10_col172, #T_457a2_row10_col271, #T_457a2_row10_col519, #T_457a2_row10_col558, #T_457a2_row10_col651, #T_457a2_row10_col738, #T_457a2_row10_col991, #T_457a2_row10_col1057, #T_457a2_row10_col1084, #T_457a2_row10_col1342, #T_457a2_row11_col136, #T_457a2_row11_col328, #T_457a2_row11_col476, #T_457a2_row11_col514, #T_457a2_row11_col613, #T_457a2_row11_col856, #T_457a2_row11_col938, #T_457a2_row11_col1048, #T_457a2_row12_col626, #T_457a2_row14_col52, #T_457a2_row14_col101, #T_457a2_row14_col380, #T_457a2_row14_col383, #T_457a2_row14_col581, #T_457a2_row14_col611, #T_457a2_row14_col612, #T_457a2_row14_col772, #T_457a2_row14_col821, #T_457a2_row14_col888, #T_457a2_row14_col1010, #T_457a2_row14_col1080, #T_457a2_row15_col18, #T_457a2_row15_col43, #T_457a2_row15_col177, #T_457a2_row15_col530, #T_457a2_row15_col738, #T_457a2_row15_col890, #T_457a2_row16_col67, #T_457a2_row16_col144, #T_457a2_row16_col465, #T_457a2_row16_col607, #T_457a2_row16_col623, #T_457a2_row16_col726, #T_457a2_row16_col787, #T_457a2_row16_col864, #T_457a2_row16_col928, #T_457a2_row17_col445, #T_457a2_row17_col657, #T_457a2_row17_col917, #T_457a2_row17_col1342, #T_457a2_row17_col1376, #T_457a2_row18_col215, #T_457a2_row18_col597, #T_457a2_row18_col772, #T_457a2_row18_col935, #T_457a2_row18_col1087, #T_457a2_row18_col1249, #T_457a2_row18_col1307, #T_457a2_row18_col1383, #T_457a2_row19_col127, #T_457a2_row19_col226, #T_457a2_row19_col305, #T_457a2_row19_col479, #T_457a2_row19_col570, #T_457a2_row19_col847, #T_457a2_row19_col1025, #T_457a2_row20_col185, #T_457a2_row20_col562, #T_457a2_row21_col293, #T_457a2_row21_col1013, #T_457a2_row22_col112, #T_457a2_row22_col135, #T_457a2_row22_col152, #T_457a2_row22_col233, #T_457a2_row22_col672, #T_457a2_row22_col675, #T_457a2_row22_col855, #T_457a2_row22_col872, #T_457a2_row22_col953, #T_457a2_row22_col1341, #T_457a2_row22_col1407, #T_457a2_row23_col251, #T_457a2_row23_col263, #T_457a2_row23_col462, #T_457a2_row23_col599, #T_457a2_row23_col716, #T_457a2_row23_col923, #T_457a2_row23_col971, #T_457a2_row24_col128, #T_457a2_row24_col389, #T_457a2_row24_col398, #T_457a2_row24_col534, #T_457a2_row24_col569, #T_457a2_row24_col848, #T_457a2_row24_col890, #T_457a2_row24_col1215, #T_457a2_row24_col1379 {\n",
       "  background-color: #d4d4e8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row0_col1442, #T_457a2_row1_col527, #T_457a2_row1_col684, #T_457a2_row1_col1024, #T_457a2_row2_col638, #T_457a2_row4_col112, #T_457a2_row4_col689, #T_457a2_row4_col722, #T_457a2_row4_col832, #T_457a2_row4_col1120, #T_457a2_row4_col1316, #T_457a2_row5_col15, #T_457a2_row5_col78, #T_457a2_row5_col239, #T_457a2_row5_col573, #T_457a2_row5_col735, #T_457a2_row5_col798, #T_457a2_row5_col959, #T_457a2_row5_col1004, #T_457a2_row5_col1204, #T_457a2_row6_col71, #T_457a2_row6_col423, #T_457a2_row6_col566, #T_457a2_row6_col628, #T_457a2_row6_col722, #T_457a2_row6_col743, #T_457a2_row6_col791, #T_457a2_row6_col926, #T_457a2_row6_col1008, #T_457a2_row6_col1178, #T_457a2_row6_col1405, #T_457a2_row6_col1418, #T_457a2_row8_col114, #T_457a2_row8_col133, #T_457a2_row8_col301, #T_457a2_row8_col396, #T_457a2_row8_col403, #T_457a2_row8_col414, #T_457a2_row8_col479, #T_457a2_row8_col834, #T_457a2_row8_col853, #T_457a2_row9_col104, #T_457a2_row9_col286, #T_457a2_row9_col388, #T_457a2_row9_col1006, #T_457a2_row9_col1374, #T_457a2_row10_col61, #T_457a2_row10_col230, #T_457a2_row10_col259, #T_457a2_row10_col505, #T_457a2_row10_col712, #T_457a2_row10_col781, #T_457a2_row10_col896, #T_457a2_row10_col950, #T_457a2_row10_col979, #T_457a2_row10_col1086, #T_457a2_row10_col1236, #T_457a2_row10_col1434, #T_457a2_row11_col71, #T_457a2_row11_col229, #T_457a2_row11_col554, #T_457a2_row11_col791, #T_457a2_row11_col949, #T_457a2_row12_col1332, #T_457a2_row14_col214, #T_457a2_row14_col266, #T_457a2_row14_col286, #T_457a2_row14_col744, #T_457a2_row14_col791, #T_457a2_row14_col934, #T_457a2_row14_col986, #T_457a2_row14_col1006, #T_457a2_row15_col151, #T_457a2_row15_col645, #T_457a2_row15_col871, #T_457a2_row16_col38, #T_457a2_row16_col169, #T_457a2_row16_col228, #T_457a2_row16_col543, #T_457a2_row16_col548, #T_457a2_row16_col758, #T_457a2_row16_col948, #T_457a2_row16_col1373, #T_457a2_row17_col77, #T_457a2_row17_col133, #T_457a2_row17_col797, #T_457a2_row17_col853, #T_457a2_row17_col1088, #T_457a2_row18_col71, #T_457a2_row18_col101, #T_457a2_row18_col129, #T_457a2_row18_col309, #T_457a2_row18_col587, #T_457a2_row18_col791, #T_457a2_row18_col849, #T_457a2_row19_col477, #T_457a2_row20_col480, #T_457a2_row20_col840, #T_457a2_row20_col1184, #T_457a2_row21_col45, #T_457a2_row21_col157, #T_457a2_row21_col182, #T_457a2_row21_col187, #T_457a2_row21_col556, #T_457a2_row21_col574, #T_457a2_row21_col586, #T_457a2_row21_col677, #T_457a2_row21_col877, #T_457a2_row21_col907, #T_457a2_row21_col1263, #T_457a2_row22_col139, #T_457a2_row22_col461, #T_457a2_row22_col859, #T_457a2_row23_col158, #T_457a2_row23_col832, #T_457a2_row23_col1067, #T_457a2_row23_col1231, #T_457a2_row23_col1382, #T_457a2_row24_col111, #T_457a2_row24_col273, #T_457a2_row24_col309, #T_457a2_row24_col443, #T_457a2_row24_col476, #T_457a2_row24_col567, #T_457a2_row24_col624, #T_457a2_row24_col676, #T_457a2_row24_col711, #T_457a2_row24_col993, #T_457a2_row24_col1029, #T_457a2_row24_col1087, #T_457a2_row24_col1326 {\n",
       "  background-color: #dad9ea;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col12, #T_457a2_row1_col127, #T_457a2_row1_col345, #T_457a2_row1_col604, #T_457a2_row1_col732, #T_457a2_row2_col258, #T_457a2_row2_col477, #T_457a2_row2_col493, #T_457a2_row2_col559, #T_457a2_row2_col669, #T_457a2_row2_col978, #T_457a2_row3_col14, #T_457a2_row3_col81, #T_457a2_row3_col801, #T_457a2_row3_col1436, #T_457a2_row4_col35, #T_457a2_row4_col38, #T_457a2_row4_col41, #T_457a2_row4_col164, #T_457a2_row4_col753, #T_457a2_row4_col884, #T_457a2_row4_col1361, #T_457a2_row4_col1432, #T_457a2_row5_col13, #T_457a2_row5_col291, #T_457a2_row5_col600, #T_457a2_row5_col655, #T_457a2_row5_col757, #T_457a2_row6_col41, #T_457a2_row6_col391, #T_457a2_row6_col631, #T_457a2_row6_col758, #T_457a2_row6_col1140, #T_457a2_row6_col1364, #T_457a2_row8_col250, #T_457a2_row8_col535, #T_457a2_row8_col970, #T_457a2_row8_col1093, #T_457a2_row8_col1183, #T_457a2_row8_col1237, #T_457a2_row9_col238, #T_457a2_row9_col506, #T_457a2_row9_col958, #T_457a2_row9_col1227, #T_457a2_row9_col1434, #T_457a2_row10_col122, #T_457a2_row10_col320, #T_457a2_row10_col459, #T_457a2_row10_col1040, #T_457a2_row10_col1173, #T_457a2_row10_col1330, #T_457a2_row11_col324, #T_457a2_row11_col568, #T_457a2_row11_col656, #T_457a2_row11_col1166, #T_457a2_row11_col1249, #T_457a2_row12_col72, #T_457a2_row12_col491, #T_457a2_row12_col792, #T_457a2_row12_col851, #T_457a2_row12_col931, #T_457a2_row12_col1178, #T_457a2_row13_col1157, #T_457a2_row13_col1160, #T_457a2_row13_col1316, #T_457a2_row14_col86, #T_457a2_row14_col185, #T_457a2_row14_col368, #T_457a2_row14_col548, #T_457a2_row14_col902, #T_457a2_row14_col997, #T_457a2_row14_col1430, #T_457a2_row15_col10, #T_457a2_row15_col281, #T_457a2_row15_col337, #T_457a2_row15_col1001, #T_457a2_row15_col1057, #T_457a2_row15_col1270, #T_457a2_row15_col1296, #T_457a2_row16_col77, #T_457a2_row16_col135, #T_457a2_row16_col170, #T_457a2_row16_col348, #T_457a2_row16_col676, #T_457a2_row16_col855, #T_457a2_row16_col1068, #T_457a2_row16_col1163, #T_457a2_row16_col1184, #T_457a2_row16_col1198, #T_457a2_row16_col1286, #T_457a2_row17_col258, #T_457a2_row17_col502, #T_457a2_row17_col590, #T_457a2_row17_col978, #T_457a2_row18_col237, #T_457a2_row18_col325, #T_457a2_row18_col395, #T_457a2_row18_col643, #T_457a2_row18_col865, #T_457a2_row18_col957, #T_457a2_row18_col1045, #T_457a2_row19_col125, #T_457a2_row19_col283, #T_457a2_row19_col332, #T_457a2_row19_col810, #T_457a2_row19_col845, #T_457a2_row19_col1003, #T_457a2_row19_col1052, #T_457a2_row20_col210, #T_457a2_row20_col451, #T_457a2_row20_col1296, #T_457a2_row21_col9, #T_457a2_row21_col130, #T_457a2_row21_col657, #T_457a2_row21_col672, #T_457a2_row21_col729, #T_457a2_row21_col937, #T_457a2_row21_col1061, #T_457a2_row21_col1306, #T_457a2_row22_col132, #T_457a2_row22_col472, #T_457a2_row22_col475, #T_457a2_row22_col587, #T_457a2_row22_col969, #T_457a2_row22_col1208, #T_457a2_row22_col1233, #T_457a2_row23_col88, #T_457a2_row23_col195, #T_457a2_row23_col358, #T_457a2_row23_col649, #T_457a2_row23_col808, #T_457a2_row23_col1358, #T_457a2_row24_col63, #T_457a2_row24_col226, #T_457a2_row24_col441, #T_457a2_row24_col527, #T_457a2_row24_col678, #T_457a2_row24_col783, #T_457a2_row24_col946, #T_457a2_row24_col1086, #T_457a2_row24_col1233, #T_457a2_row24_col1422, #T_457a2_row24_col1442 {\n",
       "  background-color: #d0d1e6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col15, #T_457a2_row1_col126, #T_457a2_row1_col846, #T_457a2_row4_col1184, #T_457a2_row5_col811, #T_457a2_row6_col460, #T_457a2_row6_col544, #T_457a2_row6_col641, #T_457a2_row8_col30, #T_457a2_row8_col109, #T_457a2_row8_col342, #T_457a2_row8_col829, #T_457a2_row8_col1062, #T_457a2_row9_col203, #T_457a2_row9_col568, #T_457a2_row10_col59, #T_457a2_row10_col409, #T_457a2_row10_col467, #T_457a2_row10_col708, #T_457a2_row10_col779, #T_457a2_row10_col1377, #T_457a2_row11_col1131, #T_457a2_row11_col1285, #T_457a2_row11_col1315, #T_457a2_row12_col56, #T_457a2_row12_col128, #T_457a2_row12_col822, #T_457a2_row12_col848, #T_457a2_row14_col64, #T_457a2_row14_col72, #T_457a2_row14_col119, #T_457a2_row14_col199, #T_457a2_row14_col211, #T_457a2_row14_col420, #T_457a2_row14_col784, #T_457a2_row14_col792, #T_457a2_row14_col839, #T_457a2_row14_col931, #T_457a2_row14_col1023, #T_457a2_row15_col735, #T_457a2_row16_col47, #T_457a2_row16_col261, #T_457a2_row16_col767, #T_457a2_row16_col981, #T_457a2_row16_col1219, #T_457a2_row17_col100, #T_457a2_row17_col820, #T_457a2_row18_col406, #T_457a2_row19_col154, #T_457a2_row19_col273, #T_457a2_row19_col285, #T_457a2_row19_col874, #T_457a2_row19_col1005, #T_457a2_row21_col563, #T_457a2_row21_col607, #T_457a2_row21_col655, #T_457a2_row21_col985, #T_457a2_row22_col174, #T_457a2_row22_col382, #T_457a2_row22_col894, #T_457a2_row22_col1111, #T_457a2_row23_col250, #T_457a2_row23_col495, #T_457a2_row23_col885, #T_457a2_row23_col970, #T_457a2_row23_col1092, #T_457a2_row24_col467, #T_457a2_row24_col1350 {\n",
       "  background-color: #fcf4fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col27, #T_457a2_row1_col128, #T_457a2_row1_col848, #T_457a2_row4_col983, #T_457a2_row5_col75, #T_457a2_row5_col364, #T_457a2_row6_col194, #T_457a2_row6_col377, #T_457a2_row6_col424, #T_457a2_row6_col434, #T_457a2_row6_col934, #T_457a2_row7_col329, #T_457a2_row7_col1049, #T_457a2_row8_col74, #T_457a2_row8_col111, #T_457a2_row8_col472, #T_457a2_row8_col652, #T_457a2_row8_col794, #T_457a2_row8_col831, #T_457a2_row8_col1423, #T_457a2_row9_col47, #T_457a2_row9_col1418, #T_457a2_row10_col31, #T_457a2_row10_col471, #T_457a2_row10_col581, #T_457a2_row10_col582, #T_457a2_row10_col1118, #T_457a2_row11_col398, #T_457a2_row11_col708, #T_457a2_row11_col1338, #T_457a2_row11_col1345, #T_457a2_row14_col32, #T_457a2_row14_col65, #T_457a2_row14_col175, #T_457a2_row14_col411, #T_457a2_row14_col630, #T_457a2_row14_col655, #T_457a2_row14_col752, #T_457a2_row14_col769, #T_457a2_row14_col785, #T_457a2_row14_col890, #T_457a2_row14_col895, #T_457a2_row16_col227, #T_457a2_row16_col264, #T_457a2_row16_col450, #T_457a2_row16_col601, #T_457a2_row16_col947, #T_457a2_row16_col984, #T_457a2_row16_col1134, #T_457a2_row16_col1201, #T_457a2_row16_col1236, #T_457a2_row16_col1285, #T_457a2_row16_col1413, #T_457a2_row17_col70, #T_457a2_row17_col264, #T_457a2_row17_col790, #T_457a2_row17_col984, #T_457a2_row17_col1267, #T_457a2_row18_col448, #T_457a2_row18_col836, #T_457a2_row18_col1362, #T_457a2_row19_col2, #T_457a2_row21_col582, #T_457a2_row21_col1250, #T_457a2_row22_col491, #T_457a2_row23_col598, #T_457a2_row23_col1440, #T_457a2_row24_col568, #T_457a2_row24_col628, #T_457a2_row24_col631, #T_457a2_row24_col1340 {\n",
       "  background-color: #f6eff7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col35, #T_457a2_row1_col89, #T_457a2_row1_col109, #T_457a2_row1_col550, #T_457a2_row1_col809, #T_457a2_row1_col1069, #T_457a2_row4_col329, #T_457a2_row4_col449, #T_457a2_row4_col826, #T_457a2_row4_col1049, #T_457a2_row4_col1244, #T_457a2_row4_col1336, #T_457a2_row4_col1379, #T_457a2_row4_col1380, #T_457a2_row4_col1397, #T_457a2_row5_col49, #T_457a2_row5_col53, #T_457a2_row5_col194, #T_457a2_row5_col392, #T_457a2_row5_col488, #T_457a2_row5_col773, #T_457a2_row5_col914, #T_457a2_row5_col1382, #T_457a2_row6_col56, #T_457a2_row6_col462, #T_457a2_row6_col644, #T_457a2_row7_col560, #T_457a2_row8_col33, #T_457a2_row8_col132, #T_457a2_row8_col171, #T_457a2_row8_col490, #T_457a2_row8_col654, #T_457a2_row8_col852, #T_457a2_row9_col264, #T_457a2_row9_col984, #T_457a2_row10_col142, #T_457a2_row10_col268, #T_457a2_row10_col457, #T_457a2_row10_col524, #T_457a2_row10_col1117, #T_457a2_row11_col1218, #T_457a2_row11_col1399, #T_457a2_row13_col1267, #T_457a2_row14_col45, #T_457a2_row14_col142, #T_457a2_row14_col169, #T_457a2_row14_col294, #T_457a2_row14_col312, #T_457a2_row14_col364, #T_457a2_row14_col704, #T_457a2_row14_col765, #T_457a2_row14_col843, #T_457a2_row14_col862, #T_457a2_row15_col41, #T_457a2_row15_col219, #T_457a2_row15_col328, #T_457a2_row15_col370, #T_457a2_row15_col761, #T_457a2_row15_col1048, #T_457a2_row16_col298, #T_457a2_row16_col414, #T_457a2_row16_col443, #T_457a2_row16_col500, #T_457a2_row16_col620, #T_457a2_row16_col649, #T_457a2_row16_col789, #T_457a2_row16_col846, #T_457a2_row16_col881, #T_457a2_row16_col885, #T_457a2_row16_col1018, #T_457a2_row16_col1225, #T_457a2_row16_col1252, #T_457a2_row16_col1351, #T_457a2_row18_col332, #T_457a2_row18_col622, #T_457a2_row18_col1052, #T_457a2_row19_col177, #T_457a2_row19_col962, #T_457a2_row20_col495, #T_457a2_row20_col1128, #T_457a2_row21_col7, #T_457a2_row21_col109, #T_457a2_row21_col338, #T_457a2_row21_col698, #T_457a2_row21_col727, #T_457a2_row21_col829, #T_457a2_row21_col1058, #T_457a2_row21_col1336, #T_457a2_row21_col1418, #T_457a2_row22_col543, #T_457a2_row22_col751, #T_457a2_row22_col1027, #T_457a2_row22_col1297, #T_457a2_row23_col367, #T_457a2_row23_col450, #T_457a2_row23_col458, #T_457a2_row23_col672, #T_457a2_row24_col146, #T_457a2_row24_col324, #T_457a2_row24_col470, #T_457a2_row24_col646, #T_457a2_row24_col866, #T_457a2_row24_col1044, #T_457a2_row24_col1150, #T_457a2_row24_col1154 {\n",
       "  background-color: #e6e2ef;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col37, #T_457a2_row1_col115, #T_457a2_row1_col653, #T_457a2_row1_col747, #T_457a2_row1_col757, #T_457a2_row1_col835, #T_457a2_row2_col472, #T_457a2_row2_col662, #T_457a2_row3_col88, #T_457a2_row3_col215, #T_457a2_row3_col808, #T_457a2_row3_col935, #T_457a2_row4_col263, #T_457a2_row4_col324, #T_457a2_row4_col621, #T_457a2_row4_col1044, #T_457a2_row4_col1354, #T_457a2_row5_col190, #T_457a2_row5_col340, #T_457a2_row5_col910, #T_457a2_row5_col1060, #T_457a2_row6_col165, #T_457a2_row6_col282, #T_457a2_row6_col581, #T_457a2_row6_col606, #T_457a2_row6_col643, #T_457a2_row6_col698, #T_457a2_row6_col885, #T_457a2_row6_col1002, #T_457a2_row6_col1107, #T_457a2_row6_col1142, #T_457a2_row8_col2, #T_457a2_row8_col112, #T_457a2_row8_col148, #T_457a2_row8_col197, #T_457a2_row8_col282, #T_457a2_row8_col387, #T_457a2_row8_col424, #T_457a2_row8_col630, #T_457a2_row8_col643, #T_457a2_row8_col832, #T_457a2_row8_col868, #T_457a2_row8_col917, #T_457a2_row8_col1002, #T_457a2_row8_col1142, #T_457a2_row9_col365, #T_457a2_row9_col1136, #T_457a2_row9_col1258, #T_457a2_row10_col228, #T_457a2_row10_col419, #T_457a2_row10_col458, #T_457a2_row10_col618, #T_457a2_row10_col751, #T_457a2_row10_col948, #T_457a2_row10_col1264, #T_457a2_row11_col479, #T_457a2_row11_col490, #T_457a2_row11_col581, #T_457a2_row11_col591, #T_457a2_row11_col643, #T_457a2_row11_col682, #T_457a2_row11_col1098, #T_457a2_row11_col1155, #T_457a2_row11_col1173, #T_457a2_row11_col1296, #T_457a2_row11_col1361, #T_457a2_row12_col312, #T_457a2_row12_col493, #T_457a2_row12_col1032, #T_457a2_row13_col1306, #T_457a2_row13_col1423, #T_457a2_row14_col59, #T_457a2_row14_col209, #T_457a2_row14_col270, #T_457a2_row14_col413, #T_457a2_row14_col929, #T_457a2_row14_col990, #T_457a2_row15_col25, #T_457a2_row15_col745, #T_457a2_row16_col115, #T_457a2_row16_col216, #T_457a2_row16_col284, #T_457a2_row16_col345, #T_457a2_row16_col486, #T_457a2_row16_col599, #T_457a2_row16_col835, #T_457a2_row16_col936, #T_457a2_row16_col1004, #T_457a2_row16_col1065, #T_457a2_row16_col1216, #T_457a2_row16_col1329, #T_457a2_row17_col106, #T_457a2_row17_col826, #T_457a2_row18_col59, #T_457a2_row18_col116, #T_457a2_row18_col779, #T_457a2_row19_col115, #T_457a2_row19_col835, #T_457a2_row19_col1340, #T_457a2_row20_col559, #T_457a2_row21_col154, #T_457a2_row21_col258, #T_457a2_row21_col382, #T_457a2_row21_col390, #T_457a2_row21_col478, #T_457a2_row21_col573, #T_457a2_row21_col597, #T_457a2_row21_col696, #T_457a2_row21_col874, #T_457a2_row21_col978, #T_457a2_row21_col1248, #T_457a2_row22_col84, #T_457a2_row22_col85, #T_457a2_row22_col106, #T_457a2_row22_col380, #T_457a2_row22_col402, #T_457a2_row22_col653, #T_457a2_row22_col804, #T_457a2_row22_col805, #T_457a2_row22_col826, #T_457a2_row22_col1133, #T_457a2_row22_col1217, #T_457a2_row23_col284, #T_457a2_row23_col456, #T_457a2_row23_col477, #T_457a2_row23_col668, #T_457a2_row23_col1162, #T_457a2_row23_col1302, #T_457a2_row24_col265, #T_457a2_row24_col323, #T_457a2_row24_col381, #T_457a2_row24_col387, #T_457a2_row24_col404, #T_457a2_row24_col444, #T_457a2_row24_col446, #T_457a2_row24_col468, #T_457a2_row24_col558, #T_457a2_row24_col985, #T_457a2_row24_col1043, #T_457a2_row24_col1106, #T_457a2_row24_col1112, #T_457a2_row24_col1315 {\n",
       "  background-color: #f7f0f7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col47, #T_457a2_row1_col54, #T_457a2_row1_col767, #T_457a2_row1_col774, #T_457a2_row1_col1004, #T_457a2_row4_col215, #T_457a2_row4_col699, #T_457a2_row5_col1373, #T_457a2_row6_col304, #T_457a2_row6_col496, #T_457a2_row6_col539, #T_457a2_row6_col709, #T_457a2_row6_col1024, #T_457a2_row8_col245, #T_457a2_row8_col247, #T_457a2_row8_col449, #T_457a2_row8_col965, #T_457a2_row9_col209, #T_457a2_row9_col342, #T_457a2_row9_col929, #T_457a2_row9_col1062, #T_457a2_row10_col102, #T_457a2_row10_col1249, #T_457a2_row11_col1154, #T_457a2_row11_col1344, #T_457a2_row14_col103, #T_457a2_row14_col230, #T_457a2_row14_col458, #T_457a2_row14_col823, #T_457a2_row14_col950, #T_457a2_row14_col1005, #T_457a2_row16_col51, #T_457a2_row16_col66, #T_457a2_row16_col141, #T_457a2_row16_col618, #T_457a2_row16_col749, #T_457a2_row16_col771, #T_457a2_row16_col786, #T_457a2_row16_col861, #T_457a2_row16_col1262, #T_457a2_row16_col1312, #T_457a2_row17_col31, #T_457a2_row17_col751, #T_457a2_row18_col14, #T_457a2_row18_col734, #T_457a2_row19_col478, #T_457a2_row20_col927, #T_457a2_row21_col105, #T_457a2_row21_col183, #T_457a2_row21_col624, #T_457a2_row21_col705, #T_457a2_row21_col817, #T_457a2_row21_col825, #T_457a2_row22_col52, #T_457a2_row22_col77, #T_457a2_row22_col180, #T_457a2_row22_col299, #T_457a2_row22_col482, #T_457a2_row22_col577, #T_457a2_row22_col797, #T_457a2_row22_col1019, #T_457a2_row23_col79, #T_457a2_row23_col238, #T_457a2_row23_col799, #T_457a2_row23_col1182, #T_457a2_row23_col1367, #T_457a2_row23_col1413, #T_457a2_row24_col450, #T_457a2_row24_col630, #T_457a2_row24_col680, #T_457a2_row24_col1178, #T_457a2_row24_col1227, #T_457a2_row24_col1323 {\n",
       "  background-color: #eee9f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col119, #T_457a2_row1_col122, #T_457a2_row1_col225, #T_457a2_row1_col839, #T_457a2_row1_col945, #T_457a2_row2_col220, #T_457a2_row2_col940, #T_457a2_row3_col482, #T_457a2_row3_col559, #T_457a2_row4_col323, #T_457a2_row4_col1043, #T_457a2_row4_col1203, #T_457a2_row4_col1205, #T_457a2_row4_col1279, #T_457a2_row5_col2, #T_457a2_row5_col434, #T_457a2_row5_col1084, #T_457a2_row5_col1247, #T_457a2_row6_col44, #T_457a2_row6_col89, #T_457a2_row6_col375, #T_457a2_row6_col394, #T_457a2_row6_col554, #T_457a2_row6_col559, #T_457a2_row6_col658, #T_457a2_row6_col809, #T_457a2_row7_col757, #T_457a2_row8_col195, #T_457a2_row8_col312, #T_457a2_row8_col528, #T_457a2_row8_col536, #T_457a2_row8_col541, #T_457a2_row8_col629, #T_457a2_row8_col704, #T_457a2_row8_col719, #T_457a2_row8_col915, #T_457a2_row9_col407, #T_457a2_row9_col653, #T_457a2_row9_col693, #T_457a2_row10_col79, #T_457a2_row10_col212, #T_457a2_row10_col215, #T_457a2_row10_col221, #T_457a2_row10_col288, #T_457a2_row10_col312, #T_457a2_row10_col382, #T_457a2_row10_col573, #T_457a2_row10_col578, #T_457a2_row10_col591, #T_457a2_row10_col620, #T_457a2_row10_col719, #T_457a2_row10_col932, #T_457a2_row10_col935, #T_457a2_row10_col941, #T_457a2_row10_col1008, #T_457a2_row10_col1129, #T_457a2_row10_col1305, #T_457a2_row10_col1351, #T_457a2_row11_col197, #T_457a2_row11_col641, #T_457a2_row11_col663, #T_457a2_row11_col1358, #T_457a2_row11_col1368, #T_457a2_row13_col1274, #T_457a2_row13_col1414, #T_457a2_row14_col66, #T_457a2_row14_col107, #T_457a2_row14_col237, #T_457a2_row14_col786, #T_457a2_row14_col827, #T_457a2_row14_col851, #T_457a2_row15_col6, #T_457a2_row15_col726, #T_457a2_row16_col206, #T_457a2_row16_col459, #T_457a2_row16_col573, #T_457a2_row16_col926, #T_457a2_row16_col1094, #T_457a2_row16_col1104, #T_457a2_row16_col1114, #T_457a2_row17_col539, #T_457a2_row17_col1439, #T_457a2_row18_col83, #T_457a2_row18_col162, #T_457a2_row18_col541, #T_457a2_row18_col566, #T_457a2_row18_col709, #T_457a2_row18_col751, #T_457a2_row18_col803, #T_457a2_row18_col882, #T_457a2_row19_col463, #T_457a2_row20_col65, #T_457a2_row20_col206, #T_457a2_row20_col473, #T_457a2_row20_col785, #T_457a2_row20_col811, #T_457a2_row20_col926, #T_457a2_row21_col22, #T_457a2_row21_col48, #T_457a2_row21_col360, #T_457a2_row21_col465, #T_457a2_row21_col508, #T_457a2_row21_col699, #T_457a2_row21_col742, #T_457a2_row21_col768, #T_457a2_row21_col1010, #T_457a2_row21_col1080, #T_457a2_row21_col1383, #T_457a2_row22_col73, #T_457a2_row22_col194, #T_457a2_row22_col296, #T_457a2_row22_col449, #T_457a2_row22_col519, #T_457a2_row22_col581, #T_457a2_row22_col914, #T_457a2_row22_col1188, #T_457a2_row23_col42, #T_457a2_row23_col183, #T_457a2_row23_col262, #T_457a2_row23_col408, #T_457a2_row23_col574, #T_457a2_row23_col707, #T_457a2_row23_col718, #T_457a2_row23_col762, #T_457a2_row23_col781, #T_457a2_row23_col903, #T_457a2_row23_col956, #T_457a2_row23_col982, #T_457a2_row24_col215, #T_457a2_row24_col295, #T_457a2_row24_col935, #T_457a2_row24_col1013, #T_457a2_row24_col1131, #T_457a2_row24_col1284 {\n",
       "  background-color: #dedcec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col151, #T_457a2_row1_col224, #T_457a2_row1_col259, #T_457a2_row1_col587, #T_457a2_row1_col871, #T_457a2_row1_col944, #T_457a2_row1_col979, #T_457a2_row1_col1093, #T_457a2_row2_col99, #T_457a2_row2_col528, #T_457a2_row2_col819, #T_457a2_row2_col1008, #T_457a2_row3_col212, #T_457a2_row3_col471, #T_457a2_row3_col473, #T_457a2_row3_col731, #T_457a2_row3_col837, #T_457a2_row3_col1090, #T_457a2_row4_col61, #T_457a2_row4_col219, #T_457a2_row4_col289, #T_457a2_row4_col345, #T_457a2_row4_col376, #T_457a2_row4_col494, #T_457a2_row4_col610, #T_457a2_row4_col841, #T_457a2_row4_col939, #T_457a2_row4_col1016, #T_457a2_row4_col1065, #T_457a2_row4_col1127, #T_457a2_row4_col1189, #T_457a2_row4_col1194, #T_457a2_row4_col1382, #T_457a2_row5_col65, #T_457a2_row5_col83, #T_457a2_row5_col277, #T_457a2_row5_col337, #T_457a2_row5_col376, #T_457a2_row5_col411, #T_457a2_row5_col610, #T_457a2_row5_col997, #T_457a2_row5_col1030, #T_457a2_row5_col1057, #T_457a2_row5_col1352, #T_457a2_row5_col1366, #T_457a2_row6_col364, #T_457a2_row6_col1115, #T_457a2_row6_col1194, #T_457a2_row6_col1235, #T_457a2_row6_col1256, #T_457a2_row7_col225, #T_457a2_row7_col262, #T_457a2_row7_col945, #T_457a2_row7_col982, #T_457a2_row7_col1249, #T_457a2_row7_col1290, #T_457a2_row8_col474, #T_457a2_row8_col516, #T_457a2_row8_col520, #T_457a2_row8_col608, #T_457a2_row8_col945, #T_457a2_row8_col1248, #T_457a2_row9_col148, #T_457a2_row9_col212, #T_457a2_row9_col231, #T_457a2_row9_col698, #T_457a2_row9_col718, #T_457a2_row9_col868, #T_457a2_row9_col932, #T_457a2_row9_col979, #T_457a2_row9_col1164, #T_457a2_row9_col1181, #T_457a2_row9_col1188, #T_457a2_row9_col1225, #T_457a2_row9_col1366, #T_457a2_row10_col104, #T_457a2_row10_col329, #T_457a2_row10_col609, #T_457a2_row10_col824, #T_457a2_row10_col857, #T_457a2_row10_col1049, #T_457a2_row11_col350, #T_457a2_row11_col449, #T_457a2_row11_col1070, #T_457a2_row11_col1203, #T_457a2_row11_col1321, #T_457a2_row11_col1391, #T_457a2_row12_col88, #T_457a2_row12_col176, #T_457a2_row12_col341, #T_457a2_row12_col515, #T_457a2_row12_col579, #T_457a2_row12_col717, #T_457a2_row12_col790, #T_457a2_row12_col808, #T_457a2_row12_col1061, #T_457a2_row12_col1134, #T_457a2_row12_col1271, #T_457a2_row12_col1389, #T_457a2_row13_col1135, #T_457a2_row13_col1180, #T_457a2_row13_col1382, #T_457a2_row14_col651, #T_457a2_row14_col1084, #T_457a2_row15_col247, #T_457a2_row15_col301, #T_457a2_row15_col967, #T_457a2_row16_col7, #T_457a2_row16_col34, #T_457a2_row16_col727, #T_457a2_row16_col754, #T_457a2_row16_col780, #T_457a2_row16_col837, #T_457a2_row16_col1349, #T_457a2_row16_col1382, #T_457a2_row17_col41, #T_457a2_row17_col312, #T_457a2_row17_col345, #T_457a2_row17_col459, #T_457a2_row17_col602, #T_457a2_row17_col761, #T_457a2_row17_col1032, #T_457a2_row17_col1065, #T_457a2_row17_col1411, #T_457a2_row18_col97, #T_457a2_row18_col128, #T_457a2_row18_col285, #T_457a2_row18_col327, #T_457a2_row18_col590, #T_457a2_row18_col817, #T_457a2_row18_col848, #T_457a2_row18_col1047, #T_457a2_row18_col1183, #T_457a2_row18_col1186, #T_457a2_row18_col1285, #T_457a2_row19_col15, #T_457a2_row19_col188, #T_457a2_row19_col215, #T_457a2_row19_col416, #T_457a2_row19_col459, #T_457a2_row19_col602, #T_457a2_row19_col735, #T_457a2_row19_col908, #T_457a2_row19_col1024, #T_457a2_row19_col1071, #T_457a2_row19_col1212, #T_457a2_row19_col1251, #T_457a2_row20_col30, #T_457a2_row20_col660, #T_457a2_row20_col709, #T_457a2_row20_col750, #T_457a2_row20_col1122, #T_457a2_row20_col1268, #T_457a2_row21_col10, #T_457a2_row21_col193, #T_457a2_row21_col509, #T_457a2_row21_col682, #T_457a2_row21_col683, #T_457a2_row21_col730, #T_457a2_row21_col913, #T_457a2_row21_col989, #T_457a2_row21_col1106, #T_457a2_row21_col1211, #T_457a2_row21_col1259, #T_457a2_row22_col264, #T_457a2_row22_col368, #T_457a2_row22_col369, #T_457a2_row22_col464, #T_457a2_row22_col583, #T_457a2_row22_col984, #T_457a2_row22_col1095, #T_457a2_row22_col1405, #T_457a2_row22_col1425, #T_457a2_row23_col226, #T_457a2_row23_col301, #T_457a2_row23_col330, #T_457a2_row23_col353, #T_457a2_row23_col366, #T_457a2_row23_col602, #T_457a2_row23_col714, #T_457a2_row23_col946, #T_457a2_row23_col1021, #T_457a2_row23_col1073, #T_457a2_row23_col1192, #T_457a2_row23_col1278, #T_457a2_row24_col285, #T_457a2_row24_col301, #T_457a2_row24_col359, #T_457a2_row24_col724, #T_457a2_row24_col737, #T_457a2_row24_col1018, #T_457a2_row24_col1021, #T_457a2_row24_col1079, #T_457a2_row24_col1157, #T_457a2_row24_col1440 {\n",
       "  background-color: #9ebad9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col207, #T_457a2_row1_col663, #T_457a2_row4_col482, #T_457a2_row4_col1196, #T_457a2_row4_col1214, #T_457a2_row6_col640, #T_457a2_row8_col108, #T_457a2_row8_col134, #T_457a2_row8_col183, #T_457a2_row8_col297, #T_457a2_row8_col683, #T_457a2_row8_col708, #T_457a2_row8_col787, #T_457a2_row8_col828, #T_457a2_row8_col854, #T_457a2_row8_col1017, #T_457a2_row9_col154, #T_457a2_row9_col874, #T_457a2_row9_col1093, #T_457a2_row9_col1231, #T_457a2_row10_col207, #T_457a2_row10_col250, #T_457a2_row10_col585, #T_457a2_row11_col601, #T_457a2_row11_col1089, #T_457a2_row11_col1103, #T_457a2_row11_col1160, #T_457a2_row11_col1265, #T_457a2_row11_col1331, #T_457a2_row14_col243, #T_457a2_row14_col415, #T_457a2_row14_col901, #T_457a2_row14_col963, #T_457a2_row15_col364, #T_457a2_row16_col253, #T_457a2_row16_col419, #T_457a2_row16_col668, #T_457a2_row16_col877, #T_457a2_row16_col973, #T_457a2_row18_col9, #T_457a2_row18_col729, #T_457a2_row19_col122, #T_457a2_row19_col584, #T_457a2_row19_col842, #T_457a2_row19_col939, #T_457a2_row19_col1021, #T_457a2_row20_col1176, #T_457a2_row22_col337, #T_457a2_row22_col1193, #T_457a2_row22_col1397, #T_457a2_row23_col35, #T_457a2_row23_col281, #T_457a2_row23_col395, #T_457a2_row23_col446, #T_457a2_row23_col451, #T_457a2_row23_col587, #T_457a2_row23_col833, #T_457a2_row24_col625, #T_457a2_row24_col686, #T_457a2_row24_col1078, #T_457a2_row24_col1272 {\n",
       "  background-color: #f9f2f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col219, #T_457a2_row1_col601, #T_457a2_row1_col939, #T_457a2_row3_col616, #T_457a2_row4_col292, #T_457a2_row4_col1012, #T_457a2_row4_col1183, #T_457a2_row4_col1283, #T_457a2_row5_col261, #T_457a2_row5_col413, #T_457a2_row5_col550, #T_457a2_row5_col590, #T_457a2_row5_col603, #T_457a2_row5_col622, #T_457a2_row5_col981, #T_457a2_row6_col446, #T_457a2_row6_col622, #T_457a2_row6_col1185, #T_457a2_row8_col213, #T_457a2_row8_col933, #T_457a2_row8_col968, #T_457a2_row9_col86, #T_457a2_row9_col100, #T_457a2_row9_col563, #T_457a2_row9_col806, #T_457a2_row9_col820, #T_457a2_row9_col880, #T_457a2_row10_col11, #T_457a2_row10_col38, #T_457a2_row10_col237, #T_457a2_row10_col599, #T_457a2_row10_col636, #T_457a2_row10_col691, #T_457a2_row10_col705, #T_457a2_row10_col731, #T_457a2_row10_col758, #T_457a2_row11_col1084, #T_457a2_row14_col246, #T_457a2_row14_col352, #T_457a2_row14_col597, #T_457a2_row14_col966, #T_457a2_row14_col1072, #T_457a2_row15_col212, #T_457a2_row15_col932, #T_457a2_row16_col235, #T_457a2_row16_col457, #T_457a2_row16_col462, #T_457a2_row16_col545, #T_457a2_row16_col955, #T_457a2_row16_col1110, #T_457a2_row16_col1212, #T_457a2_row16_col1383, #T_457a2_row17_col71, #T_457a2_row17_col460, #T_457a2_row17_col791, #T_457a2_row18_col253, #T_457a2_row18_col323, #T_457a2_row18_col973, #T_457a2_row18_col1043, #T_457a2_row19_col700, #T_457a2_row20_col199, #T_457a2_row20_col265, #T_457a2_row20_col919, #T_457a2_row20_col985, #T_457a2_row21_col213, #T_457a2_row21_col400, #T_457a2_row21_col622, #T_457a2_row22_col20, #T_457a2_row22_col118, #T_457a2_row22_col253, #T_457a2_row22_col496, #T_457a2_row22_col514, #T_457a2_row22_col529, #T_457a2_row22_col550, #T_457a2_row22_col740, #T_457a2_row22_col973, #T_457a2_row22_col1270, #T_457a2_row23_col293, #T_457a2_row23_col572, #T_457a2_row23_col645, #T_457a2_row23_col693, #T_457a2_row23_col1401, #T_457a2_row24_col212, #T_457a2_row24_col281, #T_457a2_row24_col932, #T_457a2_row24_col1001, #T_457a2_row24_col1413 {\n",
       "  background-color: #f1ebf5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col293, #T_457a2_row1_col1013, #T_457a2_row2_col1023, #T_457a2_row4_col1318, #T_457a2_row5_col795, #T_457a2_row6_col214, #T_457a2_row6_col777, #T_457a2_row6_col914, #T_457a2_row8_col352, #T_457a2_row8_col357, #T_457a2_row8_col1072, #T_457a2_row8_col1077, #T_457a2_row9_col767, #T_457a2_row10_col118, #T_457a2_row10_col194, #T_457a2_row10_col451, #T_457a2_row10_col598, #T_457a2_row10_col838, #T_457a2_row10_col914, #T_457a2_row10_col1372, #T_457a2_row11_col157, #T_457a2_row11_col575, #T_457a2_row11_col877, #T_457a2_row11_col1204, #T_457a2_row11_col1264, #T_457a2_row12_col371, #T_457a2_row12_col565, #T_457a2_row12_col643, #T_457a2_row14_col49, #T_457a2_row14_col70, #T_457a2_row14_col124, #T_457a2_row14_col134, #T_457a2_row14_col170, #T_457a2_row14_col203, #T_457a2_row14_col253, #T_457a2_row14_col362, #T_457a2_row14_col363, #T_457a2_row14_col462, #T_457a2_row14_col590, #T_457a2_row14_col790, #T_457a2_row14_col923, #T_457a2_row14_col973, #T_457a2_row14_col991, #T_457a2_row16_col33, #T_457a2_row16_col488, #T_457a2_row16_col523, #T_457a2_row16_col617, #T_457a2_row16_col635, #T_457a2_row16_col753, #T_457a2_row16_col1244, #T_457a2_row16_col1381, #T_457a2_row16_col1389, #T_457a2_row16_col1393, #T_457a2_row16_col1398, #T_457a2_row18_col70, #T_457a2_row18_col790, #T_457a2_row18_col1209, #T_457a2_row18_col1321, #T_457a2_row19_col233, #T_457a2_row19_col514, #T_457a2_row19_col953, #T_457a2_row20_col212, #T_457a2_row20_col932, #T_457a2_row21_col345, #T_457a2_row21_col1065, #T_457a2_row22_col206, #T_457a2_row22_col398, #T_457a2_row22_col932, #T_457a2_row22_col1085, #T_457a2_row22_col1411, #T_457a2_row23_col176, #T_457a2_row23_col554 {\n",
       "  background-color: #f5eff6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col303, #T_457a2_row3_col239, #T_457a2_row3_col1250, #T_457a2_row4_col1274, #T_457a2_row4_col1362, #T_457a2_row5_col90, #T_457a2_row5_col298, #T_457a2_row5_col396, #T_457a2_row5_col444, #T_457a2_row5_col810, #T_457a2_row6_col70, #T_457a2_row6_col790, #T_457a2_row6_col1097, #T_457a2_row6_col1287, #T_457a2_row8_col41, #T_457a2_row8_col206, #T_457a2_row8_col347, #T_457a2_row8_col742, #T_457a2_row8_col761, #T_457a2_row8_col926, #T_457a2_row8_col1014, #T_457a2_row9_col487, #T_457a2_row9_col589, #T_457a2_row10_col165, #T_457a2_row10_col537, #T_457a2_row10_col667, #T_457a2_row10_col885, #T_457a2_row10_col970, #T_457a2_row10_col1221, #T_457a2_row11_col464, #T_457a2_row11_col680, #T_457a2_row11_col1163, #T_457a2_row12_col585, #T_457a2_row14_col501, #T_457a2_row14_col505, #T_457a2_row14_col679, #T_457a2_row14_col726, #T_457a2_row14_col812, #T_457a2_row16_col157, #T_457a2_row16_col1148, #T_457a2_row16_col1397, #T_457a2_row16_col1423, #T_457a2_row18_col669, #T_457a2_row19_col219, #T_457a2_row19_col243, #T_457a2_row19_col963, #T_457a2_row21_col203, #T_457a2_row21_col923, #T_457a2_row22_col415, #T_457a2_row22_col589, #T_457a2_row22_col1315, #T_457a2_row23_col127, #T_457a2_row23_col1001, #T_457a2_row24_col358, #T_457a2_row24_col570, #T_457a2_row24_col684, #T_457a2_row24_col703 {\n",
       "  background-color: #faf2f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col313, #T_457a2_row1_col316, #T_457a2_row1_col351, #T_457a2_row1_col756, #T_457a2_row1_col1033, #T_457a2_row1_col1036, #T_457a2_row1_col1065, #T_457a2_row2_col52, #T_457a2_row2_col497, #T_457a2_row2_col772, #T_457a2_row2_col1354, #T_457a2_row2_col1373, #T_457a2_row3_col734, #T_457a2_row4_col33, #T_457a2_row4_col241, #T_457a2_row4_col466, #T_457a2_row4_col567, #T_457a2_row4_col755, #T_457a2_row4_col758, #T_457a2_row4_col761, #T_457a2_row4_col961, #T_457a2_row4_col1167, #T_457a2_row4_col1212, #T_457a2_row4_col1296, #T_457a2_row4_col1401, #T_457a2_row5_col37, #T_457a2_row5_col148, #T_457a2_row5_col499, #T_457a2_row5_col527, #T_457a2_row5_col669, #T_457a2_row5_col709, #T_457a2_row5_col868, #T_457a2_row5_col1011, #T_457a2_row6_col35, #T_457a2_row6_col313, #T_457a2_row6_col383, #T_457a2_row6_col495, #T_457a2_row6_col567, #T_457a2_row6_col621, #T_457a2_row6_col755, #T_457a2_row6_col761, #T_457a2_row6_col1033, #T_457a2_row6_col1204, #T_457a2_row6_col1294, #T_457a2_row6_col1332, #T_457a2_row6_col1338, #T_457a2_row8_col87, #T_457a2_row8_col99, #T_457a2_row8_col470, #T_457a2_row8_col807, #T_457a2_row8_col819, #T_457a2_row9_col278, #T_457a2_row9_col467, #T_457a2_row9_col624, #T_457a2_row9_col701, #T_457a2_row9_col998, #T_457a2_row9_col1140, #T_457a2_row10_col381, #T_457a2_row10_col439, #T_457a2_row10_col454, #T_457a2_row10_col569, #T_457a2_row10_col616, #T_457a2_row10_col1316, #T_457a2_row10_col1331, #T_457a2_row11_col101, #T_457a2_row11_col167, #T_457a2_row11_col294, #T_457a2_row11_col372, #T_457a2_row11_col684, #T_457a2_row11_col706, #T_457a2_row11_col1014, #T_457a2_row11_col1044, #T_457a2_row11_col1340, #T_457a2_row11_col1419, #T_457a2_row12_col151, #T_457a2_row12_col567, #T_457a2_row12_col583, #T_457a2_row12_col704, #T_457a2_row12_col871, #T_457a2_row13_col199, #T_457a2_row13_col919, #T_457a2_row13_col1164, #T_457a2_row13_col1244, #T_457a2_row13_col1334, #T_457a2_row13_col1345, #T_457a2_row13_col1383, #T_457a2_row14_col182, #T_457a2_row14_col495, #T_457a2_row14_col553, #T_457a2_row14_col707, #T_457a2_row14_col905, #T_457a2_row15_col615, #T_457a2_row15_col730, #T_457a2_row16_col146, #T_457a2_row16_col183, #T_457a2_row16_col224, #T_457a2_row16_col233, #T_457a2_row16_col487, #T_457a2_row16_col506, #T_457a2_row16_col797, #T_457a2_row16_col838, #T_457a2_row16_col866, #T_457a2_row16_col903, #T_457a2_row16_col953, #T_457a2_row16_col959, #T_457a2_row16_col1098, #T_457a2_row16_col1118, #T_457a2_row16_col1218, #T_457a2_row16_col1307, #T_457a2_row16_col1361, #T_457a2_row17_col177, #T_457a2_row17_col288, #T_457a2_row17_col537, #T_457a2_row17_col587, #T_457a2_row17_col601, #T_457a2_row17_col664, #T_457a2_row17_col747, #T_457a2_row17_col897, #T_457a2_row17_col1217, #T_457a2_row17_col1395, #T_457a2_row18_col12, #T_457a2_row18_col145, #T_457a2_row18_col223, #T_457a2_row18_col600, #T_457a2_row18_col732, #T_457a2_row18_col943, #T_457a2_row18_col1072, #T_457a2_row19_col101, #T_457a2_row19_col103, #T_457a2_row19_col646, #T_457a2_row19_col823, #T_457a2_row19_col1254, #T_457a2_row20_col294, #T_457a2_row20_col1014, #T_457a2_row21_col143, #T_457a2_row21_col217, #T_457a2_row21_col446, #T_457a2_row21_col648, #T_457a2_row21_col1391, #T_457a2_row22_col71, #T_457a2_row22_col88, #T_457a2_row22_col331, #T_457a2_row22_col643, #T_457a2_row22_col791, #T_457a2_row22_col808, #T_457a2_row22_col905, #T_457a2_row22_col988, #T_457a2_row22_col1051, #T_457a2_row22_col1305, #T_457a2_row23_col47, #T_457a2_row23_col190, #T_457a2_row23_col400, #T_457a2_row23_col449, #T_457a2_row23_col523, #T_457a2_row23_col557, #T_457a2_row23_col630, #T_457a2_row23_col632, #T_457a2_row23_col687, #T_457a2_row23_col722, #T_457a2_row23_col767, #T_457a2_row23_col915, #T_457a2_row23_col1167, #T_457a2_row23_col1200, #T_457a2_row23_col1442, #T_457a2_row24_col376, #T_457a2_row24_col419, #T_457a2_row24_col469, #T_457a2_row24_col577, #T_457a2_row24_col696, #T_457a2_row24_col1176, #T_457a2_row24_col1199, #T_457a2_row24_col1291 {\n",
       "  background-color: #ced0e6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col342, #T_457a2_row1_col680, #T_457a2_row1_col1062, #T_457a2_row2_col332, #T_457a2_row2_col1052, #T_457a2_row4_col533, #T_457a2_row4_col1093, #T_457a2_row4_col1128, #T_457a2_row4_col1217, #T_457a2_row4_col1310, #T_457a2_row4_col1363, #T_457a2_row4_col1412, #T_457a2_row6_col266, #T_457a2_row6_col493, #T_457a2_row6_col587, #T_457a2_row6_col986, #T_457a2_row8_col77, #T_457a2_row8_col88, #T_457a2_row8_col128, #T_457a2_row8_col151, #T_457a2_row8_col328, #T_457a2_row8_col329, #T_457a2_row8_col482, #T_457a2_row8_col589, #T_457a2_row8_col657, #T_457a2_row8_col797, #T_457a2_row8_col808, #T_457a2_row8_col810, #T_457a2_row8_col848, #T_457a2_row8_col871, #T_457a2_row8_col1048, #T_457a2_row8_col1049, #T_457a2_row9_col70, #T_457a2_row9_col233, #T_457a2_row9_col790, #T_457a2_row9_col953, #T_457a2_row10_col107, #T_457a2_row10_col239, #T_457a2_row10_col407, #T_457a2_row10_col476, #T_457a2_row10_col619, #T_457a2_row10_col827, #T_457a2_row10_col959, #T_457a2_row11_col397, #T_457a2_row11_col577, #T_457a2_row11_col1297, #T_457a2_row12_col102, #T_457a2_row12_col132, #T_457a2_row12_col776, #T_457a2_row12_col852, #T_457a2_row13_col1126, #T_457a2_row13_col1156, #T_457a2_row13_col1346, #T_457a2_row14_col12, #T_457a2_row14_col42, #T_457a2_row14_col165, #T_457a2_row14_col295, #T_457a2_row14_col299, #T_457a2_row14_col463, #T_457a2_row14_col532, #T_457a2_row14_col732, #T_457a2_row14_col762, #T_457a2_row14_col885, #T_457a2_row14_col919, #T_457a2_row14_col1015, #T_457a2_row14_col1019, #T_457a2_row15_col15, #T_457a2_row15_col913, #T_457a2_row16_col56, #T_457a2_row16_col260, #T_457a2_row16_col357, #T_457a2_row16_col379, #T_457a2_row16_col426, #T_457a2_row16_col652, #T_457a2_row16_col776, #T_457a2_row16_col812, #T_457a2_row16_col927, #T_457a2_row16_col980, #T_457a2_row16_col1077, #T_457a2_row16_col1394, #T_457a2_row18_col15, #T_457a2_row18_col368, #T_457a2_row18_col735, #T_457a2_row18_col1093, #T_457a2_row18_col1105, #T_457a2_row18_col1126, #T_457a2_row18_col1141, #T_457a2_row19_col993, #T_457a2_row21_col44, #T_457a2_row21_col46, #T_457a2_row21_col191, #T_457a2_row21_col265, #T_457a2_row21_col764, #T_457a2_row21_col766, #T_457a2_row21_col911, #T_457a2_row21_col1337, #T_457a2_row22_col42, #T_457a2_row22_col468, #T_457a2_row22_col473, #T_457a2_row22_col488, #T_457a2_row22_col619, #T_457a2_row22_col762, #T_457a2_row22_col1261, #T_457a2_row23_col316, #T_457a2_row23_col428, #T_457a2_row23_col1036, #T_457a2_row24_col593, #T_457a2_row24_col597, #T_457a2_row24_col927, #T_457a2_row24_col1088, #T_457a2_row24_col1151, #T_457a2_row24_col1327, #T_457a2_row24_col1376 {\n",
       "  background-color: #fdf5fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col428, #T_457a2_row1_col962, #T_457a2_row2_col708, #T_457a2_row2_col1173, #T_457a2_row2_col1270, #T_457a2_row3_col250, #T_457a2_row3_col295, #T_457a2_row3_col709, #T_457a2_row3_col1015, #T_457a2_row3_col1311, #T_457a2_row4_col588, #T_457a2_row4_col1072, #T_457a2_row4_col1262, #T_457a2_row4_col1265, #T_457a2_row4_col1288, #T_457a2_row4_col1307, #T_457a2_row5_col173, #T_457a2_row5_col286, #T_457a2_row5_col660, #T_457a2_row5_col1006, #T_457a2_row6_col82, #T_457a2_row6_col312, #T_457a2_row6_col435, #T_457a2_row6_col486, #T_457a2_row6_col802, #T_457a2_row6_col1126, #T_457a2_row6_col1437, #T_457a2_row7_col284, #T_457a2_row7_col1004, #T_457a2_row8_col85, #T_457a2_row8_col113, #T_457a2_row8_col264, #T_457a2_row8_col450, #T_457a2_row8_col712, #T_457a2_row8_col805, #T_457a2_row8_col984, #T_457a2_row9_col37, #T_457a2_row9_col572, #T_457a2_row9_col591, #T_457a2_row9_col757, #T_457a2_row10_col89, #T_457a2_row10_col111, #T_457a2_row10_col809, #T_457a2_row10_col831, #T_457a2_row10_col1176, #T_457a2_row10_col1379, #T_457a2_row10_col1433, #T_457a2_row11_col395, #T_457a2_row11_col644, #T_457a2_row11_col653, #T_457a2_row11_col719, #T_457a2_row11_col1058, #T_457a2_row11_col1094, #T_457a2_row11_col1397, #T_457a2_row12_col344, #T_457a2_row12_col373, #T_457a2_row12_col1064, #T_457a2_row13_col1239, #T_457a2_row14_col280, #T_457a2_row14_col290, #T_457a2_row14_col335, #T_457a2_row14_col562, #T_457a2_row14_col572, #T_457a2_row14_col1000, #T_457a2_row15_col23, #T_457a2_row15_col170, #T_457a2_row15_col477, #T_457a2_row15_col743, #T_457a2_row15_col837, #T_457a2_row15_col897, #T_457a2_row16_col6, #T_457a2_row16_col208, #T_457a2_row16_col422, #T_457a2_row16_col909, #T_457a2_row16_col1324, #T_457a2_row17_col15, #T_457a2_row17_col52, #T_457a2_row17_col197, #T_457a2_row17_col209, #T_457a2_row17_col541, #T_457a2_row17_col772, #T_457a2_row17_col929, #T_457a2_row17_col982, #T_457a2_row18_col104, #T_457a2_row18_col824, #T_457a2_row19_col89, #T_457a2_row19_col109, #T_457a2_row19_col151, #T_457a2_row19_col633, #T_457a2_row19_col809, #T_457a2_row19_col829, #T_457a2_row19_col871, #T_457a2_row20_col611, #T_457a2_row20_col905, #T_457a2_row21_col104, #T_457a2_row21_col516, #T_457a2_row21_col668, #T_457a2_row21_col798, #T_457a2_row21_col824, #T_457a2_row21_col1197, #T_457a2_row22_col105, #T_457a2_row22_col176, #T_457a2_row22_col284, #T_457a2_row22_col463, #T_457a2_row22_col537, #T_457a2_row22_col622, #T_457a2_row22_col631, #T_457a2_row22_col825, #T_457a2_row22_col896, #T_457a2_row22_col1004, #T_457a2_row22_col1059, #T_457a2_row23_col54, #T_457a2_row23_col310, #T_457a2_row23_col774, #T_457a2_row23_col983, #T_457a2_row23_col1171, #T_457a2_row23_col1217, #T_457a2_row24_col170, #T_457a2_row24_col288, #T_457a2_row24_col668, #T_457a2_row24_col702, #T_457a2_row24_col947, #T_457a2_row24_col1185, #T_457a2_row24_col1242, #T_457a2_row24_col1330, #T_457a2_row24_col1347 {\n",
       "  background-color: #d3d4e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col477, #T_457a2_row3_col529, #T_457a2_row4_col461, #T_457a2_row5_col146, #T_457a2_row5_col185, #T_457a2_row5_col299, #T_457a2_row5_col756, #T_457a2_row5_col866, #T_457a2_row5_col905, #T_457a2_row5_col1019, #T_457a2_row6_col168, #T_457a2_row6_col447, #T_457a2_row6_col888, #T_457a2_row8_col24, #T_457a2_row8_col127, #T_457a2_row8_col135, #T_457a2_row8_col194, #T_457a2_row8_col694, #T_457a2_row8_col702, #T_457a2_row8_col744, #T_457a2_row8_col751, #T_457a2_row8_col847, #T_457a2_row8_col855, #T_457a2_row8_col914, #T_457a2_row8_col1193, #T_457a2_row8_col1287, #T_457a2_row8_col1372, #T_457a2_row9_col160, #T_457a2_row10_col27, #T_457a2_row10_col699, #T_457a2_row10_col747, #T_457a2_row11_col344, #T_457a2_row11_col475, #T_457a2_row11_col1064, #T_457a2_row11_col1316, #T_457a2_row14_col34, #T_457a2_row14_col100, #T_457a2_row14_col353, #T_457a2_row14_col476, #T_457a2_row14_col820, #T_457a2_row14_col1073, #T_457a2_row15_col929, #T_457a2_row16_col272, #T_457a2_row16_col274, #T_457a2_row16_col474, #T_457a2_row16_col478, #T_457a2_row16_col992, #T_457a2_row16_col994, #T_457a2_row16_col1026, #T_457a2_row16_col1174, #T_457a2_row16_col1319, #T_457a2_row16_col1411, #T_457a2_row17_col155, #T_457a2_row17_col875, #T_457a2_row18_col281, #T_457a2_row18_col549, #T_457a2_row18_col1001, #T_457a2_row19_col682, #T_457a2_row20_col2, #T_457a2_row21_col305, #T_457a2_row21_col721, #T_457a2_row21_col933, #T_457a2_row21_col1025, #T_457a2_row21_col1443, #T_457a2_row22_col117, #T_457a2_row22_col277, #T_457a2_row22_col595, #T_457a2_row22_col649, #T_457a2_row22_col997, #T_457a2_row22_col1159, #T_457a2_row23_col322, #T_457a2_row23_col448, #T_457a2_row23_col653, #T_457a2_row23_col1013, #T_457a2_row23_col1042, #T_457a2_row24_col294, #T_457a2_row24_col379, #T_457a2_row24_col393, #T_457a2_row24_col701, #T_457a2_row24_col704, #T_457a2_row24_col1093, #T_457a2_row24_col1346 {\n",
       "  background-color: #f1ebf4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col488, #T_457a2_row3_col42, #T_457a2_row3_col404, #T_457a2_row3_col762, #T_457a2_row4_col905, #T_457a2_row5_col382, #T_457a2_row5_col398, #T_457a2_row5_col458, #T_457a2_row5_col700, #T_457a2_row5_col1267, #T_457a2_row6_col37, #T_457a2_row6_col73, #T_457a2_row6_col133, #T_457a2_row6_col793, #T_457a2_row8_col16, #T_457a2_row8_col119, #T_457a2_row8_col262, #T_457a2_row8_col266, #T_457a2_row8_col289, #T_457a2_row8_col736, #T_457a2_row8_col839, #T_457a2_row8_col986, #T_457a2_row8_col1009, #T_457a2_row9_col153, #T_457a2_row9_col386, #T_457a2_row9_col416, #T_457a2_row9_col461, #T_457a2_row9_col520, #T_457a2_row9_col873, #T_457a2_row9_col1118, #T_457a2_row9_col1135, #T_457a2_row9_col1190, #T_457a2_row9_col1265, #T_457a2_row9_col1285, #T_457a2_row10_col427, #T_457a2_row10_col963, #T_457a2_row10_col1185, #T_457a2_row10_col1345, #T_457a2_row10_col1360, #T_457a2_row11_col589, #T_457a2_row11_col628, #T_457a2_row11_col1192, #T_457a2_row11_col1232, #T_457a2_row12_col751, #T_457a2_row13_col1247, #T_457a2_row14_col126, #T_457a2_row14_col139, #T_457a2_row14_col157, #T_457a2_row14_col167, #T_457a2_row14_col212, #T_457a2_row14_col300, #T_457a2_row14_col567, #T_457a2_row14_col591, #T_457a2_row14_col700, #T_457a2_row14_col846, #T_457a2_row14_col859, #T_457a2_row14_col887, #T_457a2_row14_col932, #T_457a2_row14_col961, #T_457a2_row14_col1020, #T_457a2_row16_col18, #T_457a2_row16_col266, #T_457a2_row16_col287, #T_457a2_row16_col625, #T_457a2_row16_col738, #T_457a2_row16_col986, #T_457a2_row16_col1259, #T_457a2_row16_col1341, #T_457a2_row16_col1367, #T_457a2_row17_col107, #T_457a2_row17_col147, #T_457a2_row17_col704, #T_457a2_row17_col827, #T_457a2_row17_col867, #T_457a2_row18_col466, #T_457a2_row18_col870, #T_457a2_row19_col201, #T_457a2_row19_col322, #T_457a2_row19_col713, #T_457a2_row19_col921, #T_457a2_row19_col1042, #T_457a2_row19_col1277, #T_457a2_row20_col425, #T_457a2_row21_col486, #T_457a2_row21_col581, #T_457a2_row21_col678, #T_457a2_row21_col1026, #T_457a2_row21_col1355, #T_457a2_row22_col128, #T_457a2_row22_col203, #T_457a2_row22_col259, #T_457a2_row22_col269, #T_457a2_row22_col549, #T_457a2_row22_col923, #T_457a2_row22_col979, #T_457a2_row22_col989, #T_457a2_row22_col1169, #T_457a2_row23_col69, #T_457a2_row23_col590, #T_457a2_row23_col623, #T_457a2_row24_col397, #T_457a2_row24_col407, #T_457a2_row24_col563, #T_457a2_row24_col574, #T_457a2_row24_col647, #T_457a2_row24_col656, #T_457a2_row24_col657, #T_457a2_row24_col844, #T_457a2_row24_col1101 {\n",
       "  background-color: #e8e4f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col735, #T_457a2_row3_col157, #T_457a2_row3_col1218, #T_457a2_row4_col1124, #T_457a2_row4_col1247, #T_457a2_row5_col91, #T_457a2_row5_col473, #T_457a2_row5_col653, #T_457a2_row5_col659, #T_457a2_row6_col384, #T_457a2_row6_col1193, #T_457a2_row6_col1429, #T_457a2_row8_col253, #T_457a2_row8_col478, #T_457a2_row8_col732, #T_457a2_row8_col750, #T_457a2_row8_col973, #T_457a2_row9_col923, #T_457a2_row10_col538, #T_457a2_row10_col654, #T_457a2_row10_col1245, #T_457a2_row10_col1327, #T_457a2_row11_col366, #T_457a2_row11_col1111, #T_457a2_row11_col1241, #T_457a2_row11_col1269, #T_457a2_row11_col1423, #T_457a2_row12_col521, #T_457a2_row14_col85, #T_457a2_row14_col106, #T_457a2_row14_col273, #T_457a2_row14_col303, #T_457a2_row14_col510, #T_457a2_row14_col541, #T_457a2_row14_col585, #T_457a2_row14_col805, #T_457a2_row14_col826, #T_457a2_row14_col993, #T_457a2_row16_col277, #T_457a2_row16_col349, #T_457a2_row16_col410, #T_457a2_row16_col568, #T_457a2_row16_col661, #T_457a2_row16_col1069, #T_457a2_row17_col556, #T_457a2_row20_col1267, #T_457a2_row22_col691, #T_457a2_row22_col1254, #T_457a2_row23_col165, #T_457a2_row23_col445, #T_457a2_row23_col1136, #T_457a2_row23_col1178, #T_457a2_row23_col1345, #T_457a2_row24_col326, #T_457a2_row24_col959, #T_457a2_row24_col1046, #T_457a2_row24_col1200 {\n",
       "  background-color: #fbf4f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row1_col1023, #T_457a2_row2_col1204, #T_457a2_row3_col379, #T_457a2_row3_col959, #T_457a2_row5_col213, #T_457a2_row5_col591, #T_457a2_row5_col933, #T_457a2_row6_col31, #T_457a2_row6_col502, #T_457a2_row6_col751, #T_457a2_row8_col22, #T_457a2_row8_col207, #T_457a2_row8_col294, #T_457a2_row8_col557, #T_457a2_row8_col1067, #T_457a2_row10_col443, #T_457a2_row10_col1270, #T_457a2_row11_col700, #T_457a2_row11_col762, #T_457a2_row14_col6, #T_457a2_row14_col54, #T_457a2_row14_col92, #T_457a2_row14_col305, #T_457a2_row14_col530, #T_457a2_row14_col774, #T_457a2_row15_col24, #T_457a2_row16_col265, #T_457a2_row16_col485, #T_457a2_row16_col489, #T_457a2_row16_col680, #T_457a2_row16_col985, #T_457a2_row16_col1418, #T_457a2_row18_col106, #T_457a2_row18_col219, #T_457a2_row18_col826, #T_457a2_row18_col939, #T_457a2_row19_col482, #T_457a2_row21_col63, #T_457a2_row21_col167, #T_457a2_row21_col527, #T_457a2_row21_col553, #T_457a2_row21_col783, #T_457a2_row21_col887, #T_457a2_row21_col1431, #T_457a2_row22_col411, #T_457a2_row22_col1131, #T_457a2_row23_col160, #T_457a2_row23_col682, #T_457a2_row23_col847, #T_457a2_row23_col880, #T_457a2_row24_col107, #T_457a2_row24_col575, #T_457a2_row24_col714, #T_457a2_row24_col1126 {\n",
       "  background-color: #faf3f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row2_col303, #T_457a2_row3_col261, #T_457a2_row3_col981, #T_457a2_row4_col326, #T_457a2_row4_col431, #T_457a2_row6_col57, #T_457a2_row6_col142, #T_457a2_row6_col193, #T_457a2_row6_col862, #T_457a2_row8_col70, #T_457a2_row8_col220, #T_457a2_row8_col343, #T_457a2_row8_col477, #T_457a2_row8_col563, #T_457a2_row8_col600, #T_457a2_row8_col790, #T_457a2_row8_col940, #T_457a2_row8_col1063, #T_457a2_row9_col852, #T_457a2_row9_col890, #T_457a2_row10_col157, #T_457a2_row10_col258, #T_457a2_row10_col502, #T_457a2_row10_col610, #T_457a2_row10_col877, #T_457a2_row10_col978, #T_457a2_row10_col1365, #T_457a2_row11_col210, #T_457a2_row11_col241, #T_457a2_row11_col378, #T_457a2_row11_col411, #T_457a2_row11_col463, #T_457a2_row11_col478, #T_457a2_row11_col930, #T_457a2_row12_col161, #T_457a2_row12_col881, #T_457a2_row13_col443, #T_457a2_row14_col191, #T_457a2_row14_col271, #T_457a2_row14_col397, #T_457a2_row14_col739, #T_457a2_row14_col844, #T_457a2_row14_col854, #T_457a2_row14_col911, #T_457a2_row14_col1082, #T_457a2_row14_col1083, #T_457a2_row15_col2, #T_457a2_row16_col155, #T_457a2_row16_col400, #T_457a2_row16_col514, #T_457a2_row16_col549, #T_457a2_row16_col875, #T_457a2_row16_col1346, #T_457a2_row19_col42, #T_457a2_row19_col762, #T_457a2_row19_col1055, #T_457a2_row20_col1089, #T_457a2_row21_col520, #T_457a2_row21_col710, #T_457a2_row21_col1430, #T_457a2_row22_col212, #T_457a2_row22_col406, #T_457a2_row22_col576, #T_457a2_row22_col591, #T_457a2_row22_col926, #T_457a2_row23_col155, #T_457a2_row23_col216, #T_457a2_row23_col875, #T_457a2_row23_col896, #T_457a2_row23_col936, #T_457a2_row23_col1077, #T_457a2_row24_col552, #T_457a2_row24_col554, #T_457a2_row24_col1055, #T_457a2_row24_col1124, #T_457a2_row24_col1282 {\n",
       "  background-color: #f5eef6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row2_col585, #T_457a2_row3_col554, #T_457a2_row3_col604, #T_457a2_row4_col382, #T_457a2_row4_col491, #T_457a2_row4_col518, #T_457a2_row4_col1348, #T_457a2_row5_col233, #T_457a2_row5_col953, #T_457a2_row6_col36, #T_457a2_row6_col416, #T_457a2_row6_col467, #T_457a2_row6_col700, #T_457a2_row6_col1243, #T_457a2_row6_col1365, #T_457a2_row8_col150, #T_457a2_row8_col181, #T_457a2_row8_col822, #T_457a2_row8_col862, #T_457a2_row8_col901, #T_457a2_row9_col106, #T_457a2_row9_col144, #T_457a2_row9_col284, #T_457a2_row9_col466, #T_457a2_row9_col644, #T_457a2_row9_col864, #T_457a2_row9_col1004, #T_457a2_row9_col1207, #T_457a2_row9_col1423, #T_457a2_row10_col392, #T_457a2_row10_col507, #T_457a2_row10_col532, #T_457a2_row10_col668, #T_457a2_row11_col654, #T_457a2_row11_col1107, #T_457a2_row11_col1133, #T_457a2_row11_col1156, #T_457a2_row11_col1252, #T_457a2_row12_col478, #T_457a2_row12_col1024, #T_457a2_row14_col87, #T_457a2_row14_col190, #T_457a2_row14_col473, #T_457a2_row14_col518, #T_457a2_row14_col593, #T_457a2_row14_col807, #T_457a2_row14_col898, #T_457a2_row14_col910, #T_457a2_row14_col920, #T_457a2_row14_col1007, #T_457a2_row15_col1365, #T_457a2_row16_col95, #T_457a2_row16_col213, #T_457a2_row16_col378, #T_457a2_row16_col401, #T_457a2_row16_col539, #T_457a2_row16_col574, #T_457a2_row16_col576, #T_457a2_row16_col578, #T_457a2_row16_col766, #T_457a2_row16_col815, #T_457a2_row16_col922, #T_457a2_row16_col933, #T_457a2_row16_col1231, #T_457a2_row17_col2, #T_457a2_row17_col257, #T_457a2_row17_col588, #T_457a2_row17_col624, #T_457a2_row17_col652, #T_457a2_row18_col427, #T_457a2_row19_col487, #T_457a2_row20_col35, #T_457a2_row20_col233, #T_457a2_row20_col456, #T_457a2_row20_col755, #T_457a2_row21_col92, #T_457a2_row21_col249, #T_457a2_row21_col575, #T_457a2_row21_col685, #T_457a2_row21_col759, #T_457a2_row21_col969, #T_457a2_row22_col55, #T_457a2_row22_col336, #T_457a2_row22_col375, #T_457a2_row22_col457, #T_457a2_row22_col538, #T_457a2_row22_col775, #T_457a2_row22_col1056, #T_457a2_row22_col1103, #T_457a2_row22_col1173, #T_457a2_row23_col172, #T_457a2_row23_col215, #T_457a2_row23_col892, #T_457a2_row23_col935, #T_457a2_row24_col15, #T_457a2_row24_col151, #T_457a2_row24_col418, #T_457a2_row24_col521, #T_457a2_row24_col529, #T_457a2_row24_col735, #T_457a2_row24_col871 {\n",
       "  background-color: #ece7f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row2_col1180, #T_457a2_row3_col526, #T_457a2_row4_col448, #T_457a2_row4_col1136, #T_457a2_row5_col328, #T_457a2_row5_col1048, #T_457a2_row6_col102, #T_457a2_row6_col136, #T_457a2_row6_col366, #T_457a2_row6_col646, #T_457a2_row6_col705, #T_457a2_row6_col856, #T_457a2_row6_col1058, #T_457a2_row6_col1150, #T_457a2_row6_col1244, #T_457a2_row7_col301, #T_457a2_row7_col1021, #T_457a2_row8_col94, #T_457a2_row8_col142, #T_457a2_row8_col175, #T_457a2_row8_col442, #T_457a2_row8_col709, #T_457a2_row8_col814, #T_457a2_row8_col895, #T_457a2_row8_col991, #T_457a2_row9_col514, #T_457a2_row10_col70, #T_457a2_row10_col147, #T_457a2_row10_col216, #T_457a2_row10_col352, #T_457a2_row10_col523, #T_457a2_row10_col590, #T_457a2_row10_col790, #T_457a2_row10_col867, #T_457a2_row10_col1072, #T_457a2_row10_col1340, #T_457a2_row10_col1442, #T_457a2_row11_col401, #T_457a2_row11_col612, #T_457a2_row11_col1101, #T_457a2_row11_col1134, #T_457a2_row11_col1319, #T_457a2_row12_col193, #T_457a2_row12_col913, #T_457a2_row13_col1219, #T_457a2_row14_col62, #T_457a2_row14_col63, #T_457a2_row14_col164, #T_457a2_row14_col340, #T_457a2_row14_col782, #T_457a2_row14_col783, #T_457a2_row14_col884, #T_457a2_row14_col1060, #T_457a2_row15_col107, #T_457a2_row15_col827, #T_457a2_row16_col46, #T_457a2_row16_col79, #T_457a2_row16_col103, #T_457a2_row16_col202, #T_457a2_row16_col254, #T_457a2_row16_col581, #T_457a2_row16_col799, #T_457a2_row16_col823, #T_457a2_row16_col929, #T_457a2_row16_col974, #T_457a2_row16_col1133, #T_457a2_row16_col1146, #T_457a2_row16_col1291, #T_457a2_row16_col1317, #T_457a2_row16_col1386, #T_457a2_row18_col1267, #T_457a2_row18_col1268, #T_457a2_row19_col363, #T_457a2_row19_col826, #T_457a2_row20_col572, #T_457a2_row21_col39, #T_457a2_row21_col74, #T_457a2_row21_col310, #T_457a2_row21_col336, #T_457a2_row21_col344, #T_457a2_row21_col444, #T_457a2_row21_col794, #T_457a2_row21_col812, #T_457a2_row21_col1006, #T_457a2_row21_col1056, #T_457a2_row21_col1064, #T_457a2_row22_col127, #T_457a2_row22_col498, #T_457a2_row22_col847, #T_457a2_row23_col138, #T_457a2_row23_col297, #T_457a2_row23_col471, #T_457a2_row23_col688, #T_457a2_row23_col858, #T_457a2_row23_col1408, #T_457a2_row24_col719, #T_457a2_row24_col1337 {\n",
       "  background-color: #ebe6f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_457a2_row3_col3, #T_457a2_row7_col3, #T_457a2_row8_col3, #T_457a2_row12_col3, #T_457a2_row13_col3, #T_457a2_row14_col3, #T_457a2_row15_col3, #T_457a2_row16_col3, #T_457a2_row17_col3, #T_457a2_row21_col3, #T_457a2_row23_col3, #T_457a2_row24_col3 {\n",
       "  color: purple;\n",
       "}\n",
       "#T_457a2_row4_col1308, #T_457a2_row4_col1407, #T_457a2_row5_col231, #T_457a2_row5_col951, #T_457a2_row8_col7, #T_457a2_row8_col90, #T_457a2_row8_col106, #T_457a2_row8_col369, #T_457a2_row8_col469, #T_457a2_row8_col527, #T_457a2_row8_col567, #T_457a2_row8_col597, #T_457a2_row8_col727, #T_457a2_row8_col781, #T_457a2_row8_col826, #T_457a2_row8_col835, #T_457a2_row8_col1124, #T_457a2_row9_col101, #T_457a2_row9_col821, #T_457a2_row9_col1221, #T_457a2_row10_col78, #T_457a2_row11_col668, #T_457a2_row11_col1161, #T_457a2_row11_col1211, #T_457a2_row12_col419, #T_457a2_row13_col1129, #T_457a2_row14_col187, #T_457a2_row14_col207, #T_457a2_row14_col604, #T_457a2_row14_col690, #T_457a2_row14_col907, #T_457a2_row14_col927, #T_457a2_row15_col193, #T_457a2_row16_col50, #T_457a2_row16_col92, #T_457a2_row16_col207, #T_457a2_row16_col770, #T_457a2_row17_col73, #T_457a2_row17_col793, #T_457a2_row18_col683, #T_457a2_row20_col253, #T_457a2_row20_col973, #T_457a2_row21_col202, #T_457a2_row21_col343, #T_457a2_row21_col922, #T_457a2_row21_col1063, #T_457a2_row21_col1345, #T_457a2_row21_col1376, #T_457a2_row23_col610, #T_457a2_row24_col207, #T_457a2_row24_col372, #T_457a2_row24_col394, #T_457a2_row24_col471, #T_457a2_row24_col519, #T_457a2_row24_col658, #T_457a2_row24_col1148, #T_457a2_row24_col1263 {\n",
       "  background-color: #fef6fa;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_457a2_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >site</th>\n",
       "      <th class=\"col_heading level0 col1\" >subject</th>\n",
       "      <th class=\"col_heading level0 col2\" >age</th>\n",
       "      <th class=\"col_heading level0 col3\" >group</th>\n",
       "      <th class=\"col_heading level0 col4\" >fsArea_L_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col5\" >fsArea_L_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col6\" >fsArea_L_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col7\" >fsArea_L_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col8\" >fsArea_L_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col9\" >fsArea_L_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col10\" >fsArea_L_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col11\" >fsArea_L_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col12\" >fsArea_L_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col13\" >fsArea_L_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col14\" >fsArea_L_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col15\" >fsArea_L_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col16\" >fsArea_L_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col17\" >fsArea_L_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col18\" >fsArea_L_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col19\" >fsArea_L_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col20\" >fsArea_L_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col21\" >fsArea_L_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col22\" >fsArea_L_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col23\" >fsArea_L_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col24\" >fsArea_L_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col25\" >fsArea_L_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col26\" >fsArea_L_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col27\" >fsArea_L_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col28\" >fsArea_L_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col29\" >fsArea_L_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col30\" >fsArea_L_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col31\" >fsArea_L_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col32\" >fsArea_L_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col33\" >fsArea_L_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col34\" >fsArea_L_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col35\" >fsArea_L_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col36\" >fsArea_L_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col37\" >fsArea_L_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col38\" >fsArea_L_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col39\" >fsArea_L_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col40\" >fsArea_L_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col41\" >fsArea_L_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col42\" >fsArea_L_5L_ROI</th>\n",
       "      <th class=\"col_heading level0 col43\" >fsArea_L_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col44\" >fsArea_L_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col45\" >fsArea_L_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col46\" >fsArea_L_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col47\" >fsArea_L_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col48\" >fsArea_L_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col49\" >fsArea_L_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col50\" >fsArea_L_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col51\" >fsArea_L_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col52\" >fsArea_L_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col53\" >fsArea_L_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col54\" >fsArea_L_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col55\" >fsArea_L_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col56\" >fsArea_L_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col57\" >fsArea_L_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col58\" >fsArea_L_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col59\" >fsArea_L_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col60\" >fsArea_L_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col61\" >fsArea_L_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col62\" >fsArea_L_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col63\" >fsArea_L_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col64\" >fsArea_L_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col65\" >fsArea_L_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col66\" >fsArea_L_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col67\" >fsArea_L_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col68\" >fsArea_L_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col69\" >fsArea_L_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col70\" >fsArea_L_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col71\" >fsArea_L_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col72\" >fsArea_L_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col73\" >fsArea_L_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col74\" >fsArea_L_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col75\" >fsArea_L_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col76\" >fsArea_L_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col77\" >fsArea_L_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col78\" >fsArea_L_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col79\" >fsArea_L_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col80\" >fsArea_L_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col81\" >fsArea_L_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col82\" >fsArea_L_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col83\" >fsArea_L_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col84\" >fsArea_L_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col85\" >fsArea_L_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col86\" >fsArea_L_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col87\" >fsArea_L_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col88\" >fsArea_L_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col89\" >fsArea_L_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col90\" >fsArea_L_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col91\" >fsArea_L_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col92\" >fsArea_L_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col93\" >fsArea_L_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col94\" >fsArea_L_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col95\" >fsArea_L_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col96\" >fsArea_L_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col97\" >fsArea_L_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col98\" >fsArea_L_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col99\" >fsArea_L_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col100\" >fsArea_L_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col101\" >fsArea_L_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col102\" >fsArea_L_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col103\" >fsArea_L_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col104\" >fsArea_L_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col105\" >fsArea_L_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col106\" >fsArea_L_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col107\" >fsArea_L_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col108\" >fsArea_L_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col109\" >fsArea_L_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col110\" >fsArea_L_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col111\" >fsArea_L_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col112\" >fsArea_L_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col113\" >fsArea_L_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col114\" >fsArea_L_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col115\" >fsArea_L_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col116\" >fsArea_L_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col117\" >fsArea_L_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col118\" >fsArea_L_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col119\" >fsArea_L_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col120\" >fsArea_L_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col121\" >fsArea_L_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col122\" >fsArea_L_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col123\" >fsArea_L_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col124\" >fsArea_L_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col125\" >fsArea_L_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col126\" >fsArea_L_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col127\" >fsArea_L_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col128\" >fsArea_L_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col129\" >fsArea_L_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col130\" >fsArea_L_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col131\" >fsArea_L_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col132\" >fsArea_L_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col133\" >fsArea_L_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col134\" >fsArea_L_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col135\" >fsArea_L_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col136\" >fsArea_L_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col137\" >fsArea_L_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col138\" >fsArea_L_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col139\" >fsArea_L_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col140\" >fsArea_L_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col141\" >fsArea_L_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col142\" >fsArea_L_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col143\" >fsArea_L_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col144\" >fsArea_L_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col145\" >fsArea_L_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col146\" >fsArea_L_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col147\" >fsArea_L_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col148\" >fsArea_L_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col149\" >fsArea_L_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col150\" >fsArea_L_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col151\" >fsArea_L_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col152\" >fsArea_L_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col153\" >fsArea_L_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col154\" >fsArea_L_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col155\" >fsArea_L_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col156\" >fsArea_L_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col157\" >fsArea_L_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col158\" >fsArea_L_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col159\" >fsArea_L_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col160\" >fsArea_L_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col161\" >fsArea_L_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col162\" >fsArea_L_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col163\" >fsArea_L_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col164\" >fsArea_L_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col165\" >fsArea_L_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col166\" >fsArea_L_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col167\" >fsArea_L_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col168\" >fsArea_L_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col169\" >fsArea_L_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col170\" >fsArea_L_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col171\" >fsArea_L_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col172\" >fsArea_L_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col173\" >fsArea_L_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col174\" >fsArea_L_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col175\" >fsArea_L_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col176\" >fsArea_L_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col177\" >fsArea_L_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col178\" >fsArea_L_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col179\" >fsArea_L_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col180\" >fsArea_L_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col181\" >fsArea_L_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col182\" >fsArea_L_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col183\" >fsArea_L_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col184\" >fsArea_R_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col185\" >fsArea_R_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col186\" >fsArea_R_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col187\" >fsArea_R_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col188\" >fsArea_R_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col189\" >fsArea_R_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col190\" >fsArea_R_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col191\" >fsArea_R_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col192\" >fsArea_R_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col193\" >fsArea_R_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col194\" >fsArea_R_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col195\" >fsArea_R_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col196\" >fsArea_R_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col197\" >fsArea_R_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col198\" >fsArea_R_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col199\" >fsArea_R_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col200\" >fsArea_R_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col201\" >fsArea_R_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col202\" >fsArea_R_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col203\" >fsArea_R_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col204\" >fsArea_R_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col205\" >fsArea_R_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col206\" >fsArea_R_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col207\" >fsArea_R_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col208\" >fsArea_R_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col209\" >fsArea_R_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col210\" >fsArea_R_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col211\" >fsArea_R_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col212\" >fsArea_R_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col213\" >fsArea_R_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col214\" >fsArea_R_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col215\" >fsArea_R_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col216\" >fsArea_R_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col217\" >fsArea_R_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col218\" >fsArea_R_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col219\" >fsArea_R_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col220\" >fsArea_R_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col221\" >fsArea_R_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col222\" >fsArea_R_5R_ROI</th>\n",
       "      <th class=\"col_heading level0 col223\" >fsArea_R_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col224\" >fsArea_R_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col225\" >fsArea_R_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col226\" >fsArea_R_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col227\" >fsArea_R_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col228\" >fsArea_R_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col229\" >fsArea_R_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col230\" >fsArea_R_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col231\" >fsArea_R_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col232\" >fsArea_R_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col233\" >fsArea_R_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col234\" >fsArea_R_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col235\" >fsArea_R_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col236\" >fsArea_R_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col237\" >fsArea_R_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col238\" >fsArea_R_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col239\" >fsArea_R_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col240\" >fsArea_R_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col241\" >fsArea_R_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col242\" >fsArea_R_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col243\" >fsArea_R_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col244\" >fsArea_R_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col245\" >fsArea_R_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col246\" >fsArea_R_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col247\" >fsArea_R_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col248\" >fsArea_R_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col249\" >fsArea_R_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col250\" >fsArea_R_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col251\" >fsArea_R_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col252\" >fsArea_R_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col253\" >fsArea_R_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col254\" >fsArea_R_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col255\" >fsArea_R_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col256\" >fsArea_R_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col257\" >fsArea_R_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col258\" >fsArea_R_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col259\" >fsArea_R_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col260\" >fsArea_R_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col261\" >fsArea_R_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col262\" >fsArea_R_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col263\" >fsArea_R_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col264\" >fsArea_R_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col265\" >fsArea_R_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col266\" >fsArea_R_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col267\" >fsArea_R_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col268\" >fsArea_R_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col269\" >fsArea_R_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col270\" >fsArea_R_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col271\" >fsArea_R_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col272\" >fsArea_R_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col273\" >fsArea_R_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col274\" >fsArea_R_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col275\" >fsArea_R_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col276\" >fsArea_R_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col277\" >fsArea_R_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col278\" >fsArea_R_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col279\" >fsArea_R_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col280\" >fsArea_R_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col281\" >fsArea_R_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col282\" >fsArea_R_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col283\" >fsArea_R_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col284\" >fsArea_R_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col285\" >fsArea_R_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col286\" >fsArea_R_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col287\" >fsArea_R_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col288\" >fsArea_R_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col289\" >fsArea_R_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col290\" >fsArea_R_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col291\" >fsArea_R_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col292\" >fsArea_R_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col293\" >fsArea_R_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col294\" >fsArea_R_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col295\" >fsArea_R_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col296\" >fsArea_R_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col297\" >fsArea_R_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col298\" >fsArea_R_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col299\" >fsArea_R_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col300\" >fsArea_R_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col301\" >fsArea_R_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col302\" >fsArea_R_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col303\" >fsArea_R_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col304\" >fsArea_R_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col305\" >fsArea_R_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col306\" >fsArea_R_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col307\" >fsArea_R_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col308\" >fsArea_R_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col309\" >fsArea_R_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col310\" >fsArea_R_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col311\" >fsArea_R_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col312\" >fsArea_R_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col313\" >fsArea_R_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col314\" >fsArea_R_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col315\" >fsArea_R_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col316\" >fsArea_R_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col317\" >fsArea_R_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col318\" >fsArea_R_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col319\" >fsArea_R_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col320\" >fsArea_R_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col321\" >fsArea_R_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col322\" >fsArea_R_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col323\" >fsArea_R_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col324\" >fsArea_R_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col325\" >fsArea_R_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col326\" >fsArea_R_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col327\" >fsArea_R_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col328\" >fsArea_R_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col329\" >fsArea_R_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col330\" >fsArea_R_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col331\" >fsArea_R_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col332\" >fsArea_R_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col333\" >fsArea_R_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col334\" >fsArea_R_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col335\" >fsArea_R_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col336\" >fsArea_R_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col337\" >fsArea_R_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col338\" >fsArea_R_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col339\" >fsArea_R_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col340\" >fsArea_R_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col341\" >fsArea_R_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col342\" >fsArea_R_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col343\" >fsArea_R_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col344\" >fsArea_R_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col345\" >fsArea_R_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col346\" >fsArea_R_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col347\" >fsArea_R_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col348\" >fsArea_R_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col349\" >fsArea_R_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col350\" >fsArea_R_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col351\" >fsArea_R_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col352\" >fsArea_R_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col353\" >fsArea_R_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col354\" >fsArea_R_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col355\" >fsArea_R_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col356\" >fsArea_R_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col357\" >fsArea_R_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col358\" >fsArea_R_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col359\" >fsArea_R_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col360\" >fsArea_R_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col361\" >fsArea_R_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col362\" >fsArea_R_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col363\" >fsArea_R_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col364\" >fsVol_L_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col365\" >fsVol_L_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col366\" >fsVol_L_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col367\" >fsVol_L_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col368\" >fsVol_L_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col369\" >fsVol_L_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col370\" >fsVol_L_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col371\" >fsVol_L_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col372\" >fsVol_L_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col373\" >fsVol_L_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col374\" >fsVol_L_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col375\" >fsVol_L_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col376\" >fsVol_L_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col377\" >fsVol_L_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col378\" >fsVol_L_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col379\" >fsVol_L_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col380\" >fsVol_L_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col381\" >fsVol_L_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col382\" >fsVol_L_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col383\" >fsVol_L_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col384\" >fsVol_L_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col385\" >fsVol_L_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col386\" >fsVol_L_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col387\" >fsVol_L_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col388\" >fsVol_L_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col389\" >fsVol_L_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col390\" >fsVol_L_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col391\" >fsVol_L_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col392\" >fsVol_L_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col393\" >fsVol_L_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col394\" >fsVol_L_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col395\" >fsVol_L_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col396\" >fsVol_L_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col397\" >fsVol_L_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col398\" >fsVol_L_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col399\" >fsVol_L_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col400\" >fsVol_L_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col401\" >fsVol_L_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col402\" >fsVol_L_5L_ROI</th>\n",
       "      <th class=\"col_heading level0 col403\" >fsVol_L_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col404\" >fsVol_L_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col405\" >fsVol_L_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col406\" >fsVol_L_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col407\" >fsVol_L_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col408\" >fsVol_L_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col409\" >fsVol_L_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col410\" >fsVol_L_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col411\" >fsVol_L_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col412\" >fsVol_L_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col413\" >fsVol_L_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col414\" >fsVol_L_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col415\" >fsVol_L_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col416\" >fsVol_L_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col417\" >fsVol_L_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col418\" >fsVol_L_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col419\" >fsVol_L_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col420\" >fsVol_L_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col421\" >fsVol_L_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col422\" >fsVol_L_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col423\" >fsVol_L_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col424\" >fsVol_L_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col425\" >fsVol_L_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col426\" >fsVol_L_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col427\" >fsVol_L_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col428\" >fsVol_L_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col429\" >fsVol_L_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col430\" >fsVol_L_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col431\" >fsVol_L_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col432\" >fsVol_L_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col433\" >fsVol_L_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col434\" >fsVol_L_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col435\" >fsVol_L_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col436\" >fsVol_L_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col437\" >fsVol_L_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col438\" >fsVol_L_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col439\" >fsVol_L_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col440\" >fsVol_L_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col441\" >fsVol_L_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col442\" >fsVol_L_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col443\" >fsVol_L_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col444\" >fsVol_L_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col445\" >fsVol_L_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col446\" >fsVol_L_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col447\" >fsVol_L_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col448\" >fsVol_L_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col449\" >fsVol_L_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col450\" >fsVol_L_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col451\" >fsVol_L_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col452\" >fsVol_L_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col453\" >fsVol_L_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col454\" >fsVol_L_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col455\" >fsVol_L_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col456\" >fsVol_L_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col457\" >fsVol_L_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col458\" >fsVol_L_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col459\" >fsVol_L_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col460\" >fsVol_L_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col461\" >fsVol_L_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col462\" >fsVol_L_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col463\" >fsVol_L_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col464\" >fsVol_L_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col465\" >fsVol_L_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col466\" >fsVol_L_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col467\" >fsVol_L_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col468\" >fsVol_L_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col469\" >fsVol_L_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col470\" >fsVol_L_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col471\" >fsVol_L_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col472\" >fsVol_L_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col473\" >fsVol_L_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col474\" >fsVol_L_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col475\" >fsVol_L_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col476\" >fsVol_L_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col477\" >fsVol_L_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col478\" >fsVol_L_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col479\" >fsVol_L_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col480\" >fsVol_L_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col481\" >fsVol_L_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col482\" >fsVol_L_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col483\" >fsVol_L_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col484\" >fsVol_L_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col485\" >fsVol_L_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col486\" >fsVol_L_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col487\" >fsVol_L_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col488\" >fsVol_L_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col489\" >fsVol_L_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col490\" >fsVol_L_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col491\" >fsVol_L_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col492\" >fsVol_L_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col493\" >fsVol_L_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col494\" >fsVol_L_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col495\" >fsVol_L_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col496\" >fsVol_L_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col497\" >fsVol_L_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col498\" >fsVol_L_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col499\" >fsVol_L_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col500\" >fsVol_L_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col501\" >fsVol_L_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col502\" >fsVol_L_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col503\" >fsVol_L_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col504\" >fsVol_L_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col505\" >fsVol_L_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col506\" >fsVol_L_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col507\" >fsVol_L_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col508\" >fsVol_L_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col509\" >fsVol_L_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col510\" >fsVol_L_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col511\" >fsVol_L_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col512\" >fsVol_L_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col513\" >fsVol_L_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col514\" >fsVol_L_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col515\" >fsVol_L_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col516\" >fsVol_L_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col517\" >fsVol_L_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col518\" >fsVol_L_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col519\" >fsVol_L_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col520\" >fsVol_L_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col521\" >fsVol_L_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col522\" >fsVol_L_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col523\" >fsVol_L_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col524\" >fsVol_L_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col525\" >fsVol_L_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col526\" >fsVol_L_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col527\" >fsVol_L_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col528\" >fsVol_L_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col529\" >fsVol_L_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col530\" >fsVol_L_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col531\" >fsVol_L_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col532\" >fsVol_L_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col533\" >fsVol_L_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col534\" >fsVol_L_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col535\" >fsVol_L_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col536\" >fsVol_L_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col537\" >fsVol_L_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col538\" >fsVol_L_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col539\" >fsVol_L_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col540\" >fsVol_L_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col541\" >fsVol_L_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col542\" >fsVol_L_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col543\" >fsVol_L_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col544\" >fsVol_R_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col545\" >fsVol_R_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col546\" >fsVol_R_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col547\" >fsVol_R_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col548\" >fsVol_R_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col549\" >fsVol_R_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col550\" >fsVol_R_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col551\" >fsVol_R_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col552\" >fsVol_R_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col553\" >fsVol_R_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col554\" >fsVol_R_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col555\" >fsVol_R_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col556\" >fsVol_R_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col557\" >fsVol_R_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col558\" >fsVol_R_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col559\" >fsVol_R_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col560\" >fsVol_R_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col561\" >fsVol_R_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col562\" >fsVol_R_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col563\" >fsVol_R_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col564\" >fsVol_R_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col565\" >fsVol_R_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col566\" >fsVol_R_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col567\" >fsVol_R_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col568\" >fsVol_R_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col569\" >fsVol_R_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col570\" >fsVol_R_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col571\" >fsVol_R_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col572\" >fsVol_R_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col573\" >fsVol_R_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col574\" >fsVol_R_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col575\" >fsVol_R_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col576\" >fsVol_R_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col577\" >fsVol_R_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col578\" >fsVol_R_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col579\" >fsVol_R_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col580\" >fsVol_R_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col581\" >fsVol_R_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col582\" >fsVol_R_5R_ROI</th>\n",
       "      <th class=\"col_heading level0 col583\" >fsVol_R_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col584\" >fsVol_R_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col585\" >fsVol_R_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col586\" >fsVol_R_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col587\" >fsVol_R_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col588\" >fsVol_R_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col589\" >fsVol_R_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col590\" >fsVol_R_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col591\" >fsVol_R_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col592\" >fsVol_R_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col593\" >fsVol_R_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col594\" >fsVol_R_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col595\" >fsVol_R_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col596\" >fsVol_R_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col597\" >fsVol_R_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col598\" >fsVol_R_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col599\" >fsVol_R_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col600\" >fsVol_R_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col601\" >fsVol_R_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col602\" >fsVol_R_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col603\" >fsVol_R_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col604\" >fsVol_R_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col605\" >fsVol_R_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col606\" >fsVol_R_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col607\" >fsVol_R_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col608\" >fsVol_R_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col609\" >fsVol_R_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col610\" >fsVol_R_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col611\" >fsVol_R_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col612\" >fsVol_R_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col613\" >fsVol_R_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col614\" >fsVol_R_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col615\" >fsVol_R_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col616\" >fsVol_R_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col617\" >fsVol_R_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col618\" >fsVol_R_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col619\" >fsVol_R_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col620\" >fsVol_R_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col621\" >fsVol_R_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col622\" >fsVol_R_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col623\" >fsVol_R_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col624\" >fsVol_R_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col625\" >fsVol_R_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col626\" >fsVol_R_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col627\" >fsVol_R_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col628\" >fsVol_R_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col629\" >fsVol_R_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col630\" >fsVol_R_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col631\" >fsVol_R_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col632\" >fsVol_R_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col633\" >fsVol_R_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col634\" >fsVol_R_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col635\" >fsVol_R_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col636\" >fsVol_R_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col637\" >fsVol_R_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col638\" >fsVol_R_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col639\" >fsVol_R_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col640\" >fsVol_R_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col641\" >fsVol_R_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col642\" >fsVol_R_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col643\" >fsVol_R_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col644\" >fsVol_R_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col645\" >fsVol_R_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col646\" >fsVol_R_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col647\" >fsVol_R_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col648\" >fsVol_R_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col649\" >fsVol_R_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col650\" >fsVol_R_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col651\" >fsVol_R_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col652\" >fsVol_R_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col653\" >fsVol_R_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col654\" >fsVol_R_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col655\" >fsVol_R_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col656\" >fsVol_R_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col657\" >fsVol_R_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col658\" >fsVol_R_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col659\" >fsVol_R_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col660\" >fsVol_R_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col661\" >fsVol_R_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col662\" >fsVol_R_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col663\" >fsVol_R_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col664\" >fsVol_R_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col665\" >fsVol_R_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col666\" >fsVol_R_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col667\" >fsVol_R_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col668\" >fsVol_R_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col669\" >fsVol_R_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col670\" >fsVol_R_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col671\" >fsVol_R_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col672\" >fsVol_R_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col673\" >fsVol_R_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col674\" >fsVol_R_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col675\" >fsVol_R_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col676\" >fsVol_R_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col677\" >fsVol_R_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col678\" >fsVol_R_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col679\" >fsVol_R_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col680\" >fsVol_R_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col681\" >fsVol_R_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col682\" >fsVol_R_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col683\" >fsVol_R_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col684\" >fsVol_R_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col685\" >fsVol_R_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col686\" >fsVol_R_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col687\" >fsVol_R_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col688\" >fsVol_R_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col689\" >fsVol_R_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col690\" >fsVol_R_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col691\" >fsVol_R_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col692\" >fsVol_R_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col693\" >fsVol_R_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col694\" >fsVol_R_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col695\" >fsVol_R_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col696\" >fsVol_R_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col697\" >fsVol_R_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col698\" >fsVol_R_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col699\" >fsVol_R_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col700\" >fsVol_R_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col701\" >fsVol_R_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col702\" >fsVol_R_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col703\" >fsVol_R_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col704\" >fsVol_R_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col705\" >fsVol_R_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col706\" >fsVol_R_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col707\" >fsVol_R_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col708\" >fsVol_R_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col709\" >fsVol_R_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col710\" >fsVol_R_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col711\" >fsVol_R_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col712\" >fsVol_R_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col713\" >fsVol_R_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col714\" >fsVol_R_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col715\" >fsVol_R_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col716\" >fsVol_R_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col717\" >fsVol_R_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col718\" >fsVol_R_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col719\" >fsVol_R_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col720\" >fsVol_R_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col721\" >fsVol_R_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col722\" >fsVol_R_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col723\" >fsVol_R_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col724\" >fsLGI_L_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col725\" >fsLGI_L_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col726\" >fsLGI_L_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col727\" >fsLGI_L_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col728\" >fsLGI_L_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col729\" >fsLGI_L_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col730\" >fsLGI_L_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col731\" >fsLGI_L_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col732\" >fsLGI_L_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col733\" >fsLGI_L_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col734\" >fsLGI_L_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col735\" >fsLGI_L_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col736\" >fsLGI_L_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col737\" >fsLGI_L_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col738\" >fsLGI_L_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col739\" >fsLGI_L_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col740\" >fsLGI_L_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col741\" >fsLGI_L_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col742\" >fsLGI_L_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col743\" >fsLGI_L_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col744\" >fsLGI_L_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col745\" >fsLGI_L_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col746\" >fsLGI_L_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col747\" >fsLGI_L_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col748\" >fsLGI_L_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col749\" >fsLGI_L_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col750\" >fsLGI_L_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col751\" >fsLGI_L_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col752\" >fsLGI_L_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col753\" >fsLGI_L_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col754\" >fsLGI_L_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col755\" >fsLGI_L_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col756\" >fsLGI_L_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col757\" >fsLGI_L_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col758\" >fsLGI_L_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col759\" >fsLGI_L_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col760\" >fsLGI_L_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col761\" >fsLGI_L_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col762\" >fsLGI_L_5L_ROI</th>\n",
       "      <th class=\"col_heading level0 col763\" >fsLGI_L_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col764\" >fsLGI_L_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col765\" >fsLGI_L_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col766\" >fsLGI_L_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col767\" >fsLGI_L_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col768\" >fsLGI_L_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col769\" >fsLGI_L_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col770\" >fsLGI_L_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col771\" >fsLGI_L_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col772\" >fsLGI_L_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col773\" >fsLGI_L_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col774\" >fsLGI_L_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col775\" >fsLGI_L_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col776\" >fsLGI_L_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col777\" >fsLGI_L_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col778\" >fsLGI_L_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col779\" >fsLGI_L_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col780\" >fsLGI_L_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col781\" >fsLGI_L_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col782\" >fsLGI_L_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col783\" >fsLGI_L_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col784\" >fsLGI_L_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col785\" >fsLGI_L_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col786\" >fsLGI_L_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col787\" >fsLGI_L_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col788\" >fsLGI_L_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col789\" >fsLGI_L_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col790\" >fsLGI_L_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col791\" >fsLGI_L_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col792\" >fsLGI_L_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col793\" >fsLGI_L_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col794\" >fsLGI_L_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col795\" >fsLGI_L_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col796\" >fsLGI_L_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col797\" >fsLGI_L_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col798\" >fsLGI_L_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col799\" >fsLGI_L_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col800\" >fsLGI_L_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col801\" >fsLGI_L_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col802\" >fsLGI_L_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col803\" >fsLGI_L_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col804\" >fsLGI_L_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col805\" >fsLGI_L_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col806\" >fsLGI_L_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col807\" >fsLGI_L_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col808\" >fsLGI_L_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col809\" >fsLGI_L_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col810\" >fsLGI_L_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col811\" >fsLGI_L_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col812\" >fsLGI_L_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col813\" >fsLGI_L_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col814\" >fsLGI_L_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col815\" >fsLGI_L_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col816\" >fsLGI_L_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col817\" >fsLGI_L_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col818\" >fsLGI_L_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col819\" >fsLGI_L_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col820\" >fsLGI_L_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col821\" >fsLGI_L_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col822\" >fsLGI_L_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col823\" >fsLGI_L_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col824\" >fsLGI_L_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col825\" >fsLGI_L_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col826\" >fsLGI_L_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col827\" >fsLGI_L_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col828\" >fsLGI_L_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col829\" >fsLGI_L_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col830\" >fsLGI_L_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col831\" >fsLGI_L_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col832\" >fsLGI_L_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col833\" >fsLGI_L_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col834\" >fsLGI_L_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col835\" >fsLGI_L_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col836\" >fsLGI_L_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col837\" >fsLGI_L_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col838\" >fsLGI_L_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col839\" >fsLGI_L_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col840\" >fsLGI_L_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col841\" >fsLGI_L_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col842\" >fsLGI_L_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col843\" >fsLGI_L_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col844\" >fsLGI_L_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col845\" >fsLGI_L_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col846\" >fsLGI_L_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col847\" >fsLGI_L_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col848\" >fsLGI_L_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col849\" >fsLGI_L_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col850\" >fsLGI_L_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col851\" >fsLGI_L_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col852\" >fsLGI_L_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col853\" >fsLGI_L_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col854\" >fsLGI_L_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col855\" >fsLGI_L_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col856\" >fsLGI_L_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col857\" >fsLGI_L_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col858\" >fsLGI_L_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col859\" >fsLGI_L_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col860\" >fsLGI_L_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col861\" >fsLGI_L_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col862\" >fsLGI_L_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col863\" >fsLGI_L_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col864\" >fsLGI_L_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col865\" >fsLGI_L_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col866\" >fsLGI_L_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col867\" >fsLGI_L_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col868\" >fsLGI_L_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col869\" >fsLGI_L_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col870\" >fsLGI_L_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col871\" >fsLGI_L_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col872\" >fsLGI_L_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col873\" >fsLGI_L_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col874\" >fsLGI_L_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col875\" >fsLGI_L_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col876\" >fsLGI_L_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col877\" >fsLGI_L_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col878\" >fsLGI_L_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col879\" >fsLGI_L_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col880\" >fsLGI_L_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col881\" >fsLGI_L_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col882\" >fsLGI_L_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col883\" >fsLGI_L_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col884\" >fsLGI_L_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col885\" >fsLGI_L_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col886\" >fsLGI_L_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col887\" >fsLGI_L_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col888\" >fsLGI_L_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col889\" >fsLGI_L_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col890\" >fsLGI_L_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col891\" >fsLGI_L_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col892\" >fsLGI_L_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col893\" >fsLGI_L_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col894\" >fsLGI_L_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col895\" >fsLGI_L_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col896\" >fsLGI_L_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col897\" >fsLGI_L_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col898\" >fsLGI_L_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col899\" >fsLGI_L_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col900\" >fsLGI_L_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col901\" >fsLGI_L_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col902\" >fsLGI_L_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col903\" >fsLGI_L_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col904\" >fsLGI_R_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col905\" >fsLGI_R_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col906\" >fsLGI_R_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col907\" >fsLGI_R_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col908\" >fsLGI_R_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col909\" >fsLGI_R_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col910\" >fsLGI_R_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col911\" >fsLGI_R_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col912\" >fsLGI_R_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col913\" >fsLGI_R_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col914\" >fsLGI_R_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col915\" >fsLGI_R_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col916\" >fsLGI_R_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col917\" >fsLGI_R_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col918\" >fsLGI_R_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col919\" >fsLGI_R_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col920\" >fsLGI_R_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col921\" >fsLGI_R_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col922\" >fsLGI_R_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col923\" >fsLGI_R_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col924\" >fsLGI_R_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col925\" >fsLGI_R_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col926\" >fsLGI_R_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col927\" >fsLGI_R_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col928\" >fsLGI_R_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col929\" >fsLGI_R_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col930\" >fsLGI_R_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col931\" >fsLGI_R_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col932\" >fsLGI_R_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col933\" >fsLGI_R_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col934\" >fsLGI_R_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col935\" >fsLGI_R_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col936\" >fsLGI_R_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col937\" >fsLGI_R_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col938\" >fsLGI_R_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col939\" >fsLGI_R_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col940\" >fsLGI_R_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col941\" >fsLGI_R_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col942\" >fsLGI_R_5R_ROI</th>\n",
       "      <th class=\"col_heading level0 col943\" >fsLGI_R_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col944\" >fsLGI_R_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col945\" >fsLGI_R_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col946\" >fsLGI_R_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col947\" >fsLGI_R_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col948\" >fsLGI_R_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col949\" >fsLGI_R_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col950\" >fsLGI_R_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col951\" >fsLGI_R_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col952\" >fsLGI_R_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col953\" >fsLGI_R_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col954\" >fsLGI_R_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col955\" >fsLGI_R_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col956\" >fsLGI_R_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col957\" >fsLGI_R_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col958\" >fsLGI_R_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col959\" >fsLGI_R_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col960\" >fsLGI_R_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col961\" >fsLGI_R_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col962\" >fsLGI_R_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col963\" >fsLGI_R_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col964\" >fsLGI_R_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col965\" >fsLGI_R_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col966\" >fsLGI_R_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col967\" >fsLGI_R_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col968\" >fsLGI_R_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col969\" >fsLGI_R_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col970\" >fsLGI_R_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col971\" >fsLGI_R_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col972\" >fsLGI_R_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col973\" >fsLGI_R_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col974\" >fsLGI_R_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col975\" >fsLGI_R_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col976\" >fsLGI_R_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col977\" >fsLGI_R_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col978\" >fsLGI_R_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col979\" >fsLGI_R_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col980\" >fsLGI_R_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col981\" >fsLGI_R_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col982\" >fsLGI_R_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col983\" >fsLGI_R_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col984\" >fsLGI_R_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col985\" >fsLGI_R_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col986\" >fsLGI_R_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col987\" >fsLGI_R_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col988\" >fsLGI_R_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col989\" >fsLGI_R_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col990\" >fsLGI_R_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col991\" >fsLGI_R_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col992\" >fsLGI_R_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col993\" >fsLGI_R_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col994\" >fsLGI_R_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col995\" >fsLGI_R_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col996\" >fsLGI_R_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col997\" >fsLGI_R_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col998\" >fsLGI_R_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col999\" >fsLGI_R_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1000\" >fsLGI_R_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1001\" >fsLGI_R_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1002\" >fsLGI_R_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col1003\" >fsLGI_R_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1004\" >fsLGI_R_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1005\" >fsLGI_R_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1006\" >fsLGI_R_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col1007\" >fsLGI_R_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1008\" >fsLGI_R_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1009\" >fsLGI_R_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1010\" >fsLGI_R_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1011\" >fsLGI_R_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1012\" >fsLGI_R_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1013\" >fsLGI_R_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col1014\" >fsLGI_R_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1015\" >fsLGI_R_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1016\" >fsLGI_R_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1017\" >fsLGI_R_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1018\" >fsLGI_R_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1019\" >fsLGI_R_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1020\" >fsLGI_R_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1021\" >fsLGI_R_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1022\" >fsLGI_R_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col1023\" >fsLGI_R_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col1024\" >fsLGI_R_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col1025\" >fsLGI_R_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col1026\" >fsLGI_R_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1027\" >fsLGI_R_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1028\" >fsLGI_R_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col1029\" >fsLGI_R_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1030\" >fsLGI_R_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1031\" >fsLGI_R_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col1032\" >fsLGI_R_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1033\" >fsLGI_R_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1034\" >fsLGI_R_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1035\" >fsLGI_R_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1036\" >fsLGI_R_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1037\" >fsLGI_R_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1038\" >fsLGI_R_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1039\" >fsLGI_R_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1040\" >fsLGI_R_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1041\" >fsLGI_R_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col1042\" >fsLGI_R_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1043\" >fsLGI_R_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1044\" >fsLGI_R_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1045\" >fsLGI_R_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1046\" >fsLGI_R_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1047\" >fsLGI_R_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1048\" >fsLGI_R_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1049\" >fsLGI_R_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col1050\" >fsLGI_R_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col1051\" >fsLGI_R_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1052\" >fsLGI_R_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1053\" >fsLGI_R_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col1054\" >fsLGI_R_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col1055\" >fsLGI_R_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col1056\" >fsLGI_R_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1057\" >fsLGI_R_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1058\" >fsLGI_R_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1059\" >fsLGI_R_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col1060\" >fsLGI_R_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col1061\" >fsLGI_R_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col1062\" >fsLGI_R_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1063\" >fsLGI_R_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1064\" >fsLGI_R_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1065\" >fsLGI_R_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1066\" >fsLGI_R_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1067\" >fsLGI_R_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col1068\" >fsLGI_R_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1069\" >fsLGI_R_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1070\" >fsLGI_R_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1071\" >fsLGI_R_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col1072\" >fsLGI_R_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col1073\" >fsLGI_R_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1074\" >fsLGI_R_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1075\" >fsLGI_R_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1076\" >fsLGI_R_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1077\" >fsLGI_R_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1078\" >fsLGI_R_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1079\" >fsLGI_R_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col1080\" >fsLGI_R_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1081\" >fsLGI_R_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1082\" >fsLGI_R_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1083\" >fsLGI_R_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col1084\" >fsCT_L_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1085\" >fsCT_L_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col1086\" >fsCT_L_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col1087\" >fsCT_L_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1088\" >fsCT_L_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1089\" >fsCT_L_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1090\" >fsCT_L_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1091\" >fsCT_L_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1092\" >fsCT_L_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col1093\" >fsCT_L_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1094\" >fsCT_L_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1095\" >fsCT_L_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col1096\" >fsCT_L_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col1097\" >fsCT_L_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1098\" >fsCT_L_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1099\" >fsCT_L_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col1100\" >fsCT_L_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1101\" >fsCT_L_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1102\" >fsCT_L_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col1103\" >fsCT_L_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1104\" >fsCT_L_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1105\" >fsCT_L_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1106\" >fsCT_L_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1107\" >fsCT_L_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1108\" >fsCT_L_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1109\" >fsCT_L_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1110\" >fsCT_L_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col1111\" >fsCT_L_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col1112\" >fsCT_L_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1113\" >fsCT_L_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1114\" >fsCT_L_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1115\" >fsCT_L_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1116\" >fsCT_L_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col1117\" >fsCT_L_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col1118\" >fsCT_L_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1119\" >fsCT_L_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1120\" >fsCT_L_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1121\" >fsCT_L_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col1122\" >fsCT_L_5L_ROI</th>\n",
       "      <th class=\"col_heading level0 col1123\" >fsCT_L_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1124\" >fsCT_L_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1125\" >fsCT_L_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1126\" >fsCT_L_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1127\" >fsCT_L_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col1128\" >fsCT_L_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col1129\" >fsCT_L_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1130\" >fsCT_L_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1131\" >fsCT_L_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1132\" >fsCT_L_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1133\" >fsCT_L_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1134\" >fsCT_L_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1135\" >fsCT_L_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1136\" >fsCT_L_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1137\" >fsCT_L_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1138\" >fsCT_L_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1139\" >fsCT_L_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1140\" >fsCT_L_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1141\" >fsCT_L_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1142\" >fsCT_L_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1143\" >fsCT_L_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1144\" >fsCT_L_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col1145\" >fsCT_L_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1146\" >fsCT_L_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col1147\" >fsCT_L_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1148\" >fsCT_L_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1149\" >fsCT_L_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1150\" >fsCT_L_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col1151\" >fsCT_L_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col1152\" >fsCT_L_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1153\" >fsCT_L_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1154\" >fsCT_L_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1155\" >fsCT_L_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1156\" >fsCT_L_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col1157\" >fsCT_L_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col1158\" >fsCT_L_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col1159\" >fsCT_L_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col1160\" >fsCT_L_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1161\" >fsCT_L_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1162\" >fsCT_L_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1163\" >fsCT_L_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1164\" >fsCT_L_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1165\" >fsCT_L_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1166\" >fsCT_L_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1167\" >fsCT_L_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col1168\" >fsCT_L_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1169\" >fsCT_L_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1170\" >fsCT_L_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1171\" >fsCT_L_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1172\" >fsCT_L_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1173\" >fsCT_L_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1174\" >fsCT_L_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col1175\" >fsCT_L_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col1176\" >fsCT_L_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1177\" >fsCT_L_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col1178\" >fsCT_L_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1179\" >fsCT_L_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1180\" >fsCT_L_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1181\" >fsCT_L_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1182\" >fsCT_L_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col1183\" >fsCT_L_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1184\" >fsCT_L_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1185\" >fsCT_L_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1186\" >fsCT_L_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col1187\" >fsCT_L_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1188\" >fsCT_L_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1189\" >fsCT_L_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1190\" >fsCT_L_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1191\" >fsCT_L_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1192\" >fsCT_L_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1193\" >fsCT_L_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col1194\" >fsCT_L_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1195\" >fsCT_L_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1196\" >fsCT_L_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1197\" >fsCT_L_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1198\" >fsCT_L_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1199\" >fsCT_L_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1200\" >fsCT_L_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1201\" >fsCT_L_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1202\" >fsCT_L_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col1203\" >fsCT_L_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col1204\" >fsCT_L_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col1205\" >fsCT_L_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col1206\" >fsCT_L_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1207\" >fsCT_L_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1208\" >fsCT_L_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col1209\" >fsCT_L_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1210\" >fsCT_L_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1211\" >fsCT_L_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col1212\" >fsCT_L_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1213\" >fsCT_L_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1214\" >fsCT_L_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1215\" >fsCT_L_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1216\" >fsCT_L_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1217\" >fsCT_L_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1218\" >fsCT_L_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1219\" >fsCT_L_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1220\" >fsCT_L_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1221\" >fsCT_L_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col1222\" >fsCT_L_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1223\" >fsCT_L_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1224\" >fsCT_L_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1225\" >fsCT_L_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1226\" >fsCT_L_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1227\" >fsCT_L_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1228\" >fsCT_L_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1229\" >fsCT_L_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col1230\" >fsCT_L_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col1231\" >fsCT_L_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1232\" >fsCT_L_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1233\" >fsCT_L_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col1234\" >fsCT_L_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col1235\" >fsCT_L_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col1236\" >fsCT_L_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1237\" >fsCT_L_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1238\" >fsCT_L_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1239\" >fsCT_L_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col1240\" >fsCT_L_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col1241\" >fsCT_L_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col1242\" >fsCT_L_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1243\" >fsCT_L_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1244\" >fsCT_L_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1245\" >fsCT_L_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1246\" >fsCT_L_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1247\" >fsCT_L_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col1248\" >fsCT_L_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1249\" >fsCT_L_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1250\" >fsCT_L_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1251\" >fsCT_L_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col1252\" >fsCT_L_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col1253\" >fsCT_L_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1254\" >fsCT_L_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1255\" >fsCT_L_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1256\" >fsCT_L_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1257\" >fsCT_L_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1258\" >fsCT_L_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1259\" >fsCT_L_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col1260\" >fsCT_L_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1261\" >fsCT_L_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1262\" >fsCT_L_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1263\" >fsCT_L_p24_ROI</th>\n",
       "      <th class=\"col_heading level0 col1264\" >fsCT_R_V1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1265\" >fsCT_R_MST_ROI</th>\n",
       "      <th class=\"col_heading level0 col1266\" >fsCT_R_V6_ROI</th>\n",
       "      <th class=\"col_heading level0 col1267\" >fsCT_R_V2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1268\" >fsCT_R_V3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1269\" >fsCT_R_V4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1270\" >fsCT_R_V8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1271\" >fsCT_R_4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1272\" >fsCT_R_3b_ROI</th>\n",
       "      <th class=\"col_heading level0 col1273\" >fsCT_R_FEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1274\" >fsCT_R_PEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1275\" >fsCT_R_55b_ROI</th>\n",
       "      <th class=\"col_heading level0 col1276\" >fsCT_R_V3A_ROI</th>\n",
       "      <th class=\"col_heading level0 col1277\" >fsCT_R_RSC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1278\" >fsCT_R_POS2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1279\" >fsCT_R_V7_ROI</th>\n",
       "      <th class=\"col_heading level0 col1280\" >fsCT_R_IPS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1281\" >fsCT_R_FFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1282\" >fsCT_R_V3B_ROI</th>\n",
       "      <th class=\"col_heading level0 col1283\" >fsCT_R_LO1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1284\" >fsCT_R_LO2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1285\" >fsCT_R_PIT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1286\" >fsCT_R_MT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1287\" >fsCT_R_A1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1288\" >fsCT_R_PSL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1289\" >fsCT_R_SFL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1290\" >fsCT_R_PCV_ROI</th>\n",
       "      <th class=\"col_heading level0 col1291\" >fsCT_R_STV_ROI</th>\n",
       "      <th class=\"col_heading level0 col1292\" >fsCT_R_7Pm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1293\" >fsCT_R_7m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1294\" >fsCT_R_POS1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1295\" >fsCT_R_23d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1296\" >fsCT_R_v23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col1297\" >fsCT_R_d23ab_ROI</th>\n",
       "      <th class=\"col_heading level0 col1298\" >fsCT_R_31pv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1299\" >fsCT_R_5m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1300\" >fsCT_R_5mv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1301\" >fsCT_R_23c_ROI</th>\n",
       "      <th class=\"col_heading level0 col1302\" >fsCT_R_5R_ROI</th>\n",
       "      <th class=\"col_heading level0 col1303\" >fsCT_R_24dd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1304\" >fsCT_R_24dv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1305\" >fsCT_R_7AL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1306\" >fsCT_R_SCEF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1307\" >fsCT_R_6ma_ROI</th>\n",
       "      <th class=\"col_heading level0 col1308\" >fsCT_R_7Am_ROI</th>\n",
       "      <th class=\"col_heading level0 col1309\" >fsCT_R_7PL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1310\" >fsCT_R_7PC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1311\" >fsCT_R_LIPv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1312\" >fsCT_R_VIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1313\" >fsCT_R_MIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1314\" >fsCT_R_1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1315\" >fsCT_R_2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1316\" >fsCT_R_3a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1317\" >fsCT_R_6d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1318\" >fsCT_R_6mp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1319\" >fsCT_R_6v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1320\" >fsCT_R_p24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1321\" >fsCT_R_33pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1322\" >fsCT_R_a24pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1323\" >fsCT_R_p32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1324\" >fsCT_R_a24_ROI</th>\n",
       "      <th class=\"col_heading level0 col1325\" >fsCT_R_d32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1326\" >fsCT_R_8BM_ROI</th>\n",
       "      <th class=\"col_heading level0 col1327\" >fsCT_R_p32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1328\" >fsCT_R_10r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1329\" >fsCT_R_47m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1330\" >fsCT_R_8Av_ROI</th>\n",
       "      <th class=\"col_heading level0 col1331\" >fsCT_R_8Ad_ROI</th>\n",
       "      <th class=\"col_heading level0 col1332\" >fsCT_R_9m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1333\" >fsCT_R_8BL_ROI</th>\n",
       "      <th class=\"col_heading level0 col1334\" >fsCT_R_9p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1335\" >fsCT_R_10d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1336\" >fsCT_R_8C_ROI</th>\n",
       "      <th class=\"col_heading level0 col1337\" >fsCT_R_44_ROI</th>\n",
       "      <th class=\"col_heading level0 col1338\" >fsCT_R_45_ROI</th>\n",
       "      <th class=\"col_heading level0 col1339\" >fsCT_R_47l_ROI</th>\n",
       "      <th class=\"col_heading level0 col1340\" >fsCT_R_a47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1341\" >fsCT_R_6r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1342\" >fsCT_R_IFJa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1343\" >fsCT_R_IFJp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1344\" >fsCT_R_IFSp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1345\" >fsCT_R_IFSa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1346\" >fsCT_R_p9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1347\" >fsCT_R_46_ROI</th>\n",
       "      <th class=\"col_heading level0 col1348\" >fsCT_R_a9-46v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1349\" >fsCT_R_9-46d_ROI</th>\n",
       "      <th class=\"col_heading level0 col1350\" >fsCT_R_9a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1351\" >fsCT_R_10v_ROI</th>\n",
       "      <th class=\"col_heading level0 col1352\" >fsCT_R_a10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1353\" >fsCT_R_10pp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1354\" >fsCT_R_11l_ROI</th>\n",
       "      <th class=\"col_heading level0 col1355\" >fsCT_R_13l_ROI</th>\n",
       "      <th class=\"col_heading level0 col1356\" >fsCT_R_OFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1357\" >fsCT_R_47s_ROI</th>\n",
       "      <th class=\"col_heading level0 col1358\" >fsCT_R_LIPd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1359\" >fsCT_R_6a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1360\" >fsCT_R_i6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1361\" >fsCT_R_s6-8_ROI</th>\n",
       "      <th class=\"col_heading level0 col1362\" >fsCT_R_43_ROI</th>\n",
       "      <th class=\"col_heading level0 col1363\" >fsCT_R_OP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1364\" >fsCT_R_OP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1365\" >fsCT_R_OP2-3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1366\" >fsCT_R_52_ROI</th>\n",
       "      <th class=\"col_heading level0 col1367\" >fsCT_R_RI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1368\" >fsCT_R_PFcm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1369\" >fsCT_R_PoI2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1370\" >fsCT_R_TA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1371\" >fsCT_R_FOP4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1372\" >fsCT_R_MI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1373\" >fsCT_R_Pir_ROI</th>\n",
       "      <th class=\"col_heading level0 col1374\" >fsCT_R_AVI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1375\" >fsCT_R_AAIC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1376\" >fsCT_R_FOP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1377\" >fsCT_R_FOP3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1378\" >fsCT_R_FOP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1379\" >fsCT_R_PFt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1380\" >fsCT_R_AIP_ROI</th>\n",
       "      <th class=\"col_heading level0 col1381\" >fsCT_R_EC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1382\" >fsCT_R_PreS_ROI</th>\n",
       "      <th class=\"col_heading level0 col1383\" >fsCT_R_H_ROI</th>\n",
       "      <th class=\"col_heading level0 col1384\" >fsCT_R_ProS_ROI</th>\n",
       "      <th class=\"col_heading level0 col1385\" >fsCT_R_PeEc_ROI</th>\n",
       "      <th class=\"col_heading level0 col1386\" >fsCT_R_STGa_ROI</th>\n",
       "      <th class=\"col_heading level0 col1387\" >fsCT_R_PBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1388\" >fsCT_R_A5_ROI</th>\n",
       "      <th class=\"col_heading level0 col1389\" >fsCT_R_PHA1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1390\" >fsCT_R_PHA3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1391\" >fsCT_R_STSda_ROI</th>\n",
       "      <th class=\"col_heading level0 col1392\" >fsCT_R_STSdp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1393\" >fsCT_R_STSvp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1394\" >fsCT_R_TGd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1395\" >fsCT_R_TE1a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1396\" >fsCT_R_TE1p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1397\" >fsCT_R_TE2a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1398\" >fsCT_R_TF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1399\" >fsCT_R_TE2p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1400\" >fsCT_R_PHT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1401\" >fsCT_R_PH_ROI</th>\n",
       "      <th class=\"col_heading level0 col1402\" >fsCT_R_TPOJ1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1403\" >fsCT_R_TPOJ2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1404\" >fsCT_R_TPOJ3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1405\" >fsCT_R_DVT_ROI</th>\n",
       "      <th class=\"col_heading level0 col1406\" >fsCT_R_PGp_ROI</th>\n",
       "      <th class=\"col_heading level0 col1407\" >fsCT_R_IP2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1408\" >fsCT_R_IP1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1409\" >fsCT_R_IP0_ROI</th>\n",
       "      <th class=\"col_heading level0 col1410\" >fsCT_R_PFop_ROI</th>\n",
       "      <th class=\"col_heading level0 col1411\" >fsCT_R_PF_ROI</th>\n",
       "      <th class=\"col_heading level0 col1412\" >fsCT_R_PFm_ROI</th>\n",
       "      <th class=\"col_heading level0 col1413\" >fsCT_R_PGi_ROI</th>\n",
       "      <th class=\"col_heading level0 col1414\" >fsCT_R_PGs_ROI</th>\n",
       "      <th class=\"col_heading level0 col1415\" >fsCT_R_V6A_ROI</th>\n",
       "      <th class=\"col_heading level0 col1416\" >fsCT_R_VMV1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1417\" >fsCT_R_VMV3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1418\" >fsCT_R_PHA2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1419\" >fsCT_R_V4t_ROI</th>\n",
       "      <th class=\"col_heading level0 col1420\" >fsCT_R_FST_ROI</th>\n",
       "      <th class=\"col_heading level0 col1421\" >fsCT_R_V3CD_ROI</th>\n",
       "      <th class=\"col_heading level0 col1422\" >fsCT_R_LO3_ROI</th>\n",
       "      <th class=\"col_heading level0 col1423\" >fsCT_R_VMV2_ROI</th>\n",
       "      <th class=\"col_heading level0 col1424\" >fsCT_R_31pd_ROI</th>\n",
       "      <th class=\"col_heading level0 col1425\" >fsCT_R_31a_ROI</th>\n",
       "      <th class=\"col_heading level0 col1426\" >fsCT_R_VVC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1427\" >fsCT_R_25_ROI</th>\n",
       "      <th class=\"col_heading level0 col1428\" >fsCT_R_s32_ROI</th>\n",
       "      <th class=\"col_heading level0 col1429\" >fsCT_R_pOFC_ROI</th>\n",
       "      <th class=\"col_heading level0 col1430\" >fsCT_R_PoI1_ROI</th>\n",
       "      <th class=\"col_heading level0 col1431\" >fsCT_R_Ig_ROI</th>\n",
       "      <th class=\"col_heading level0 col1432\" >fsCT_R_FOP5_ROI</th>\n",
       "      <th class=\"col_heading level0 col1433\" >fsCT_R_p10p_ROI</th>\n",
       "      <th class=\"col_heading level0 col1434\" >fsCT_R_p47r_ROI</th>\n",
       "      <th class=\"col_heading level0 col1435\" >fsCT_R_TGv_ROI</th>\n",
       "      <th class=\"col_heading level0 col1436\" >fsCT_R_MBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1437\" >fsCT_R_LBelt_ROI</th>\n",
       "      <th class=\"col_heading level0 col1438\" >fsCT_R_A4_ROI</th>\n",
       "      <th class=\"col_heading level0 col1439\" >fsCT_R_STSva_ROI</th>\n",
       "      <th class=\"col_heading level0 col1440\" >fsCT_R_TE1m_ROI</th>\n",
       "      <th class=\"col_heading level0 col1441\" >fsCT_R_PI_ROI</th>\n",
       "      <th class=\"col_heading level0 col1442\" >fsCT_R_a32pr_ROI</th>\n",
       "      <th class=\"col_heading level0 col1443\" >fsCT_R_p24_ROI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_457a2_level0_row0\" class=\"row_heading level0 row0\" >555</th>\n",
       "      <td id=\"T_457a2_row0_col0\" class=\"data row0 col0\" >ABIDEII-GU_1</td>\n",
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       "      <td id=\"T_457a2_row0_col1040\" class=\"data row0 col1040\" >645.430000</td>\n",
       "      <td id=\"T_457a2_row0_col1041\" class=\"data row0 col1041\" >799.220000</td>\n",
       "      <td id=\"T_457a2_row0_col1042\" class=\"data row0 col1042\" >929.890000</td>\n",
       "      <td id=\"T_457a2_row0_col1043\" class=\"data row0 col1043\" >527.430000</td>\n",
       "      <td id=\"T_457a2_row0_col1044\" class=\"data row0 col1044\" >330.870000</td>\n",
       "      <td id=\"T_457a2_row0_col1045\" class=\"data row0 col1045\" >641.610000</td>\n",
       "      <td id=\"T_457a2_row0_col1046\" class=\"data row0 col1046\" >590.850000</td>\n",
       "      <td id=\"T_457a2_row0_col1047\" class=\"data row0 col1047\" >595.960000</td>\n",
       "      <td id=\"T_457a2_row0_col1048\" class=\"data row0 col1048\" >476.760000</td>\n",
       "      <td id=\"T_457a2_row0_col1049\" class=\"data row0 col1049\" >377.520000</td>\n",
       "      <td id=\"T_457a2_row0_col1050\" class=\"data row0 col1050\" >337.340000</td>\n",
       "      <td id=\"T_457a2_row0_col1051\" class=\"data row0 col1051\" >757.520000</td>\n",
       "      <td id=\"T_457a2_row0_col1052\" class=\"data row0 col1052\" >1787.100000</td>\n",
       "      <td id=\"T_457a2_row0_col1053\" class=\"data row0 col1053\" >1551.100000</td>\n",
       "      <td id=\"T_457a2_row0_col1054\" class=\"data row0 col1054\" >946.860000</td>\n",
       "      <td id=\"T_457a2_row0_col1055\" class=\"data row0 col1055\" >192.540000</td>\n",
       "      <td id=\"T_457a2_row0_col1056\" class=\"data row0 col1056\" >376.870000</td>\n",
       "      <td id=\"T_457a2_row0_col1057\" class=\"data row0 col1057\" >307.610000</td>\n",
       "      <td id=\"T_457a2_row0_col1058\" class=\"data row0 col1058\" >220.130000</td>\n",
       "      <td id=\"T_457a2_row0_col1059\" class=\"data row0 col1059\" >111.910000</td>\n",
       "      <td id=\"T_457a2_row0_col1060\" class=\"data row0 col1060\" >347.290000</td>\n",
       "      <td id=\"T_457a2_row0_col1061\" class=\"data row0 col1061\" >281.700000</td>\n",
       "      <td id=\"T_457a2_row0_col1062\" class=\"data row0 col1062\" >206.080000</td>\n",
       "      <td id=\"T_457a2_row0_col1063\" class=\"data row0 col1063\" >275.060000</td>\n",
       "      <td id=\"T_457a2_row0_col1064\" class=\"data row0 col1064\" >170.150000</td>\n",
       "      <td id=\"T_457a2_row0_col1065\" class=\"data row0 col1065\" >127.190000</td>\n",
       "      <td id=\"T_457a2_row0_col1066\" class=\"data row0 col1066\" >563.180000</td>\n",
       "      <td id=\"T_457a2_row0_col1067\" class=\"data row0 col1067\" >194.520000</td>\n",
       "      <td id=\"T_457a2_row0_col1068\" class=\"data row0 col1068\" >230.240000</td>\n",
       "      <td id=\"T_457a2_row0_col1069\" class=\"data row0 col1069\" >485.310000</td>\n",
       "      <td id=\"T_457a2_row0_col1070\" class=\"data row0 col1070\" >329.630000</td>\n",
       "      <td id=\"T_457a2_row0_col1071\" class=\"data row0 col1071\" >167.850000</td>\n",
       "      <td id=\"T_457a2_row0_col1072\" class=\"data row0 col1072\" >584.990000</td>\n",
       "      <td id=\"T_457a2_row0_col1073\" class=\"data row0 col1073\" >678.950000</td>\n",
       "      <td id=\"T_457a2_row0_col1074\" class=\"data row0 col1074\" >552.380000</td>\n",
       "      <td id=\"T_457a2_row0_col1075\" class=\"data row0 col1075\" >482.430000</td>\n",
       "      <td id=\"T_457a2_row0_col1076\" class=\"data row0 col1076\" >257.760000</td>\n",
       "      <td id=\"T_457a2_row0_col1077\" class=\"data row0 col1077\" >305.800000</td>\n",
       "      <td id=\"T_457a2_row0_col1078\" class=\"data row0 col1078\" >401.260000</td>\n",
       "      <td id=\"T_457a2_row0_col1079\" class=\"data row0 col1079\" >577.680000</td>\n",
       "      <td id=\"T_457a2_row0_col1080\" class=\"data row0 col1080\" >460.240000</td>\n",
       "      <td id=\"T_457a2_row0_col1081\" class=\"data row0 col1081\" >319.130000</td>\n",
       "      <td id=\"T_457a2_row0_col1082\" class=\"data row0 col1082\" >373.470000</td>\n",
       "      <td id=\"T_457a2_row0_col1083\" class=\"data row0 col1083\" >271.430000</td>\n",
       "      <td id=\"T_457a2_row0_col1084\" class=\"data row0 col1084\" >1.840000</td>\n",
       "      <td id=\"T_457a2_row0_col1085\" class=\"data row0 col1085\" >2.538000</td>\n",
       "      <td id=\"T_457a2_row0_col1086\" class=\"data row0 col1086\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row0_col1087\" class=\"data row0 col1087\" >2.347000</td>\n",
       "      <td id=\"T_457a2_row0_col1088\" class=\"data row0 col1088\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row0_col1089\" class=\"data row0 col1089\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row0_col1090\" class=\"data row0 col1090\" >2.956000</td>\n",
       "      <td id=\"T_457a2_row0_col1091\" class=\"data row0 col1091\" >2.568000</td>\n",
       "      <td id=\"T_457a2_row0_col1092\" class=\"data row0 col1092\" >1.802000</td>\n",
       "      <td id=\"T_457a2_row0_col1093\" class=\"data row0 col1093\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row0_col1094\" class=\"data row0 col1094\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row0_col1095\" class=\"data row0 col1095\" >2.984000</td>\n",
       "      <td id=\"T_457a2_row0_col1096\" class=\"data row0 col1096\" >2.304000</td>\n",
       "      <td id=\"T_457a2_row0_col1097\" class=\"data row0 col1097\" >2.353000</td>\n",
       "      <td id=\"T_457a2_row0_col1098\" class=\"data row0 col1098\" >2.733000</td>\n",
       "      <td id=\"T_457a2_row0_col1099\" class=\"data row0 col1099\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row0_col1100\" class=\"data row0 col1100\" >2.488000</td>\n",
       "      <td id=\"T_457a2_row0_col1101\" class=\"data row0 col1101\" >3.096000</td>\n",
       "      <td id=\"T_457a2_row0_col1102\" class=\"data row0 col1102\" >2.649000</td>\n",
       "      <td id=\"T_457a2_row0_col1103\" class=\"data row0 col1103\" >2.754000</td>\n",
       "      <td id=\"T_457a2_row0_col1104\" class=\"data row0 col1104\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row0_col1105\" class=\"data row0 col1105\" >2.202000</td>\n",
       "      <td id=\"T_457a2_row0_col1106\" class=\"data row0 col1106\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row0_col1107\" class=\"data row0 col1107\" >2.273000</td>\n",
       "      <td id=\"T_457a2_row0_col1108\" class=\"data row0 col1108\" >3.300000</td>\n",
       "      <td id=\"T_457a2_row0_col1109\" class=\"data row0 col1109\" >3.793000</td>\n",
       "      <td id=\"T_457a2_row0_col1110\" class=\"data row0 col1110\" >2.627000</td>\n",
       "      <td id=\"T_457a2_row0_col1111\" class=\"data row0 col1111\" >3.137000</td>\n",
       "      <td id=\"T_457a2_row0_col1112\" class=\"data row0 col1112\" >2.644000</td>\n",
       "      <td id=\"T_457a2_row0_col1113\" class=\"data row0 col1113\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row0_col1114\" class=\"data row0 col1114\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row0_col1115\" class=\"data row0 col1115\" >2.947000</td>\n",
       "      <td id=\"T_457a2_row0_col1116\" class=\"data row0 col1116\" >3.127000</td>\n",
       "      <td id=\"T_457a2_row0_col1117\" class=\"data row0 col1117\" >3.563000</td>\n",
       "      <td id=\"T_457a2_row0_col1118\" class=\"data row0 col1118\" >2.795000</td>\n",
       "      <td id=\"T_457a2_row0_col1119\" class=\"data row0 col1119\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row0_col1120\" class=\"data row0 col1120\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row0_col1121\" class=\"data row0 col1121\" >2.654000</td>\n",
       "      <td id=\"T_457a2_row0_col1122\" class=\"data row0 col1122\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row0_col1123\" class=\"data row0 col1123\" >3.136000</td>\n",
       "      <td id=\"T_457a2_row0_col1124\" class=\"data row0 col1124\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row0_col1125\" class=\"data row0 col1125\" >2.591000</td>\n",
       "      <td id=\"T_457a2_row0_col1126\" class=\"data row0 col1126\" >3.318000</td>\n",
       "      <td id=\"T_457a2_row0_col1127\" class=\"data row0 col1127\" >3.610000</td>\n",
       "      <td id=\"T_457a2_row0_col1128\" class=\"data row0 col1128\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row0_col1129\" class=\"data row0 col1129\" >2.350000</td>\n",
       "      <td id=\"T_457a2_row0_col1130\" class=\"data row0 col1130\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row0_col1131\" class=\"data row0 col1131\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row0_col1132\" class=\"data row0 col1132\" >2.660000</td>\n",
       "      <td id=\"T_457a2_row0_col1133\" class=\"data row0 col1133\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row0_col1134\" class=\"data row0 col1134\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row0_col1135\" class=\"data row0 col1135\" >2.233000</td>\n",
       "      <td id=\"T_457a2_row0_col1136\" class=\"data row0 col1136\" >2.034000</td>\n",
       "      <td id=\"T_457a2_row0_col1137\" class=\"data row0 col1137\" >3.050000</td>\n",
       "      <td id=\"T_457a2_row0_col1138\" class=\"data row0 col1138\" >2.697000</td>\n",
       "      <td id=\"T_457a2_row0_col1139\" class=\"data row0 col1139\" >3.503000</td>\n",
       "      <td id=\"T_457a2_row0_col1140\" class=\"data row0 col1140\" >3.302000</td>\n",
       "      <td id=\"T_457a2_row0_col1141\" class=\"data row0 col1141\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row0_col1142\" class=\"data row0 col1142\" >3.368000</td>\n",
       "      <td id=\"T_457a2_row0_col1143\" class=\"data row0 col1143\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row0_col1144\" class=\"data row0 col1144\" >2.400000</td>\n",
       "      <td id=\"T_457a2_row0_col1145\" class=\"data row0 col1145\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row0_col1146\" class=\"data row0 col1146\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row0_col1147\" class=\"data row0 col1147\" >2.774000</td>\n",
       "      <td id=\"T_457a2_row0_col1148\" class=\"data row0 col1148\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row0_col1149\" class=\"data row0 col1149\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row0_col1150\" class=\"data row0 col1150\" >3.173000</td>\n",
       "      <td id=\"T_457a2_row0_col1151\" class=\"data row0 col1151\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row0_col1152\" class=\"data row0 col1152\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row0_col1153\" class=\"data row0 col1153\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row0_col1154\" class=\"data row0 col1154\" >3.001000</td>\n",
       "      <td id=\"T_457a2_row0_col1155\" class=\"data row0 col1155\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row0_col1156\" class=\"data row0 col1156\" >2.662000</td>\n",
       "      <td id=\"T_457a2_row0_col1157\" class=\"data row0 col1157\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row0_col1158\" class=\"data row0 col1158\" >2.674000</td>\n",
       "      <td id=\"T_457a2_row0_col1159\" class=\"data row0 col1159\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row0_col1160\" class=\"data row0 col1160\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row0_col1161\" class=\"data row0 col1161\" >2.897000</td>\n",
       "      <td id=\"T_457a2_row0_col1162\" class=\"data row0 col1162\" >2.658000</td>\n",
       "      <td id=\"T_457a2_row0_col1163\" class=\"data row0 col1163\" >2.689000</td>\n",
       "      <td id=\"T_457a2_row0_col1164\" class=\"data row0 col1164\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row0_col1165\" class=\"data row0 col1165\" >2.322000</td>\n",
       "      <td id=\"T_457a2_row0_col1166\" class=\"data row0 col1166\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row0_col1167\" class=\"data row0 col1167\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row0_col1168\" class=\"data row0 col1168\" >2.695000</td>\n",
       "      <td id=\"T_457a2_row0_col1169\" class=\"data row0 col1169\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row0_col1170\" class=\"data row0 col1170\" >2.880000</td>\n",
       "      <td id=\"T_457a2_row0_col1171\" class=\"data row0 col1171\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row0_col1172\" class=\"data row0 col1172\" >2.157000</td>\n",
       "      <td id=\"T_457a2_row0_col1173\" class=\"data row0 col1173\" >2.369000</td>\n",
       "      <td id=\"T_457a2_row0_col1174\" class=\"data row0 col1174\" >2.853000</td>\n",
       "      <td id=\"T_457a2_row0_col1175\" class=\"data row0 col1175\" >2.963000</td>\n",
       "      <td id=\"T_457a2_row0_col1176\" class=\"data row0 col1176\" >1.949000</td>\n",
       "      <td id=\"T_457a2_row0_col1177\" class=\"data row0 col1177\" >3.273000</td>\n",
       "      <td id=\"T_457a2_row0_col1178\" class=\"data row0 col1178\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row0_col1179\" class=\"data row0 col1179\" >2.500000</td>\n",
       "      <td id=\"T_457a2_row0_col1180\" class=\"data row0 col1180\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row0_col1181\" class=\"data row0 col1181\" >2.953000</td>\n",
       "      <td id=\"T_457a2_row0_col1182\" class=\"data row0 col1182\" >3.527000</td>\n",
       "      <td id=\"T_457a2_row0_col1183\" class=\"data row0 col1183\" >3.206000</td>\n",
       "      <td id=\"T_457a2_row0_col1184\" class=\"data row0 col1184\" >3.328000</td>\n",
       "      <td id=\"T_457a2_row0_col1185\" class=\"data row0 col1185\" >3.593000</td>\n",
       "      <td id=\"T_457a2_row0_col1186\" class=\"data row0 col1186\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row0_col1187\" class=\"data row0 col1187\" >2.581000</td>\n",
       "      <td id=\"T_457a2_row0_col1188\" class=\"data row0 col1188\" >2.876000</td>\n",
       "      <td id=\"T_457a2_row0_col1189\" class=\"data row0 col1189\" >4.000000</td>\n",
       "      <td id=\"T_457a2_row0_col1190\" class=\"data row0 col1190\" >3.729000</td>\n",
       "      <td id=\"T_457a2_row0_col1191\" class=\"data row0 col1191\" >2.897000</td>\n",
       "      <td id=\"T_457a2_row0_col1192\" class=\"data row0 col1192\" >3.704000</td>\n",
       "      <td id=\"T_457a2_row0_col1193\" class=\"data row0 col1193\" >3.063000</td>\n",
       "      <td id=\"T_457a2_row0_col1194\" class=\"data row0 col1194\" >3.053000</td>\n",
       "      <td id=\"T_457a2_row0_col1195\" class=\"data row0 col1195\" >4.005000</td>\n",
       "      <td id=\"T_457a2_row0_col1196\" class=\"data row0 col1196\" >3.419000</td>\n",
       "      <td id=\"T_457a2_row0_col1197\" class=\"data row0 col1197\" >2.701000</td>\n",
       "      <td id=\"T_457a2_row0_col1198\" class=\"data row0 col1198\" >3.022000</td>\n",
       "      <td id=\"T_457a2_row0_col1199\" class=\"data row0 col1199\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row0_col1200\" class=\"data row0 col1200\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row0_col1201\" class=\"data row0 col1201\" >2.704000</td>\n",
       "      <td id=\"T_457a2_row0_col1202\" class=\"data row0 col1202\" >1.844000</td>\n",
       "      <td id=\"T_457a2_row0_col1203\" class=\"data row0 col1203\" >2.331000</td>\n",
       "      <td id=\"T_457a2_row0_col1204\" class=\"data row0 col1204\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row0_col1205\" class=\"data row0 col1205\" >3.219000</td>\n",
       "      <td id=\"T_457a2_row0_col1206\" class=\"data row0 col1206\" >3.775000</td>\n",
       "      <td id=\"T_457a2_row0_col1207\" class=\"data row0 col1207\" >3.083000</td>\n",
       "      <td id=\"T_457a2_row0_col1208\" class=\"data row0 col1208\" >3.380000</td>\n",
       "      <td id=\"T_457a2_row0_col1209\" class=\"data row0 col1209\" >2.578000</td>\n",
       "      <td id=\"T_457a2_row0_col1210\" class=\"data row0 col1210\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row0_col1211\" class=\"data row0 col1211\" >3.244000</td>\n",
       "      <td id=\"T_457a2_row0_col1212\" class=\"data row0 col1212\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row0_col1213\" class=\"data row0 col1213\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row0_col1214\" class=\"data row0 col1214\" >3.533000</td>\n",
       "      <td id=\"T_457a2_row0_col1215\" class=\"data row0 col1215\" >3.583000</td>\n",
       "      <td id=\"T_457a2_row0_col1216\" class=\"data row0 col1216\" >3.039000</td>\n",
       "      <td id=\"T_457a2_row0_col1217\" class=\"data row0 col1217\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row0_col1218\" class=\"data row0 col1218\" >2.899000</td>\n",
       "      <td id=\"T_457a2_row0_col1219\" class=\"data row0 col1219\" >2.832000</td>\n",
       "      <td id=\"T_457a2_row0_col1220\" class=\"data row0 col1220\" >3.260000</td>\n",
       "      <td id=\"T_457a2_row0_col1221\" class=\"data row0 col1221\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row0_col1222\" class=\"data row0 col1222\" >2.536000</td>\n",
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       "      <td id=\"T_457a2_row0_col1227\" class=\"data row0 col1227\" >2.667000</td>\n",
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       "      <td id=\"T_457a2_row0_col1234\" class=\"data row0 col1234\" >3.242000</td>\n",
       "      <td id=\"T_457a2_row0_col1235\" class=\"data row0 col1235\" >2.366000</td>\n",
       "      <td id=\"T_457a2_row0_col1236\" class=\"data row0 col1236\" >2.665000</td>\n",
       "      <td id=\"T_457a2_row0_col1237\" class=\"data row0 col1237\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row0_col1238\" class=\"data row0 col1238\" >2.227000</td>\n",
       "      <td id=\"T_457a2_row0_col1239\" class=\"data row0 col1239\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row0_col1240\" class=\"data row0 col1240\" >2.628000</td>\n",
       "      <td id=\"T_457a2_row0_col1241\" class=\"data row0 col1241\" >2.795000</td>\n",
       "      <td id=\"T_457a2_row0_col1242\" class=\"data row0 col1242\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row0_col1243\" class=\"data row0 col1243\" >2.785000</td>\n",
       "      <td id=\"T_457a2_row0_col1244\" class=\"data row0 col1244\" >2.530000</td>\n",
       "      <td id=\"T_457a2_row0_col1245\" class=\"data row0 col1245\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row0_col1246\" class=\"data row0 col1246\" >2.966000</td>\n",
       "      <td id=\"T_457a2_row0_col1247\" class=\"data row0 col1247\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row0_col1248\" class=\"data row0 col1248\" >2.454000</td>\n",
       "      <td id=\"T_457a2_row0_col1249\" class=\"data row0 col1249\" >2.930000</td>\n",
       "      <td id=\"T_457a2_row0_col1250\" class=\"data row0 col1250\" >3.199000</td>\n",
       "      <td id=\"T_457a2_row0_col1251\" class=\"data row0 col1251\" >3.049000</td>\n",
       "      <td id=\"T_457a2_row0_col1252\" class=\"data row0 col1252\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row0_col1253\" class=\"data row0 col1253\" >2.613000</td>\n",
       "      <td id=\"T_457a2_row0_col1254\" class=\"data row0 col1254\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row0_col1255\" class=\"data row0 col1255\" >3.696000</td>\n",
       "      <td id=\"T_457a2_row0_col1256\" class=\"data row0 col1256\" >3.033000</td>\n",
       "      <td id=\"T_457a2_row0_col1257\" class=\"data row0 col1257\" >2.461000</td>\n",
       "      <td id=\"T_457a2_row0_col1258\" class=\"data row0 col1258\" >3.706000</td>\n",
       "      <td id=\"T_457a2_row0_col1259\" class=\"data row0 col1259\" >2.862000</td>\n",
       "      <td id=\"T_457a2_row0_col1260\" class=\"data row0 col1260\" >3.335000</td>\n",
       "      <td id=\"T_457a2_row0_col1261\" class=\"data row0 col1261\" >3.115000</td>\n",
       "      <td id=\"T_457a2_row0_col1262\" class=\"data row0 col1262\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row0_col1263\" class=\"data row0 col1263\" >2.837000</td>\n",
       "      <td id=\"T_457a2_row0_col1264\" class=\"data row0 col1264\" >1.768000</td>\n",
       "      <td id=\"T_457a2_row0_col1265\" class=\"data row0 col1265\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row0_col1266\" class=\"data row0 col1266\" >2.428000</td>\n",
       "      <td id=\"T_457a2_row0_col1267\" class=\"data row0 col1267\" >2.204000</td>\n",
       "      <td id=\"T_457a2_row0_col1268\" class=\"data row0 col1268\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row0_col1269\" class=\"data row0 col1269\" >2.739000</td>\n",
       "      <td id=\"T_457a2_row0_col1270\" class=\"data row0 col1270\" >2.909000</td>\n",
       "      <td id=\"T_457a2_row0_col1271\" class=\"data row0 col1271\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row0_col1272\" class=\"data row0 col1272\" >1.776000</td>\n",
       "      <td id=\"T_457a2_row0_col1273\" class=\"data row0 col1273\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row0_col1274\" class=\"data row0 col1274\" >2.406000</td>\n",
       "      <td id=\"T_457a2_row0_col1275\" class=\"data row0 col1275\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row0_col1276\" class=\"data row0 col1276\" >2.405000</td>\n",
       "      <td id=\"T_457a2_row0_col1277\" class=\"data row0 col1277\" >2.506000</td>\n",
       "      <td id=\"T_457a2_row0_col1278\" class=\"data row0 col1278\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row0_col1279\" class=\"data row0 col1279\" >2.587000</td>\n",
       "      <td id=\"T_457a2_row0_col1280\" class=\"data row0 col1280\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row0_col1281\" class=\"data row0 col1281\" >3.193000</td>\n",
       "      <td id=\"T_457a2_row0_col1282\" class=\"data row0 col1282\" >2.251000</td>\n",
       "      <td id=\"T_457a2_row0_col1283\" class=\"data row0 col1283\" >2.474000</td>\n",
       "      <td id=\"T_457a2_row0_col1284\" class=\"data row0 col1284\" >3.248000</td>\n",
       "      <td id=\"T_457a2_row0_col1285\" class=\"data row0 col1285\" >2.869000</td>\n",
       "      <td id=\"T_457a2_row0_col1286\" class=\"data row0 col1286\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row0_col1287\" class=\"data row0 col1287\" >2.408000</td>\n",
       "      <td id=\"T_457a2_row0_col1288\" class=\"data row0 col1288\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row0_col1289\" class=\"data row0 col1289\" >3.291000</td>\n",
       "      <td id=\"T_457a2_row0_col1290\" class=\"data row0 col1290\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row0_col1291\" class=\"data row0 col1291\" >3.033000</td>\n",
       "      <td id=\"T_457a2_row0_col1292\" class=\"data row0 col1292\" >2.372000</td>\n",
       "      <td id=\"T_457a2_row0_col1293\" class=\"data row0 col1293\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row0_col1294\" class=\"data row0 col1294\" >3.069000</td>\n",
       "      <td id=\"T_457a2_row0_col1295\" class=\"data row0 col1295\" >3.256000</td>\n",
       "      <td id=\"T_457a2_row0_col1296\" class=\"data row0 col1296\" >3.101000</td>\n",
       "      <td id=\"T_457a2_row0_col1297\" class=\"data row0 col1297\" >3.283000</td>\n",
       "      <td id=\"T_457a2_row0_col1298\" class=\"data row0 col1298\" >2.719000</td>\n",
       "      <td id=\"T_457a2_row0_col1299\" class=\"data row0 col1299\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row0_col1300\" class=\"data row0 col1300\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row0_col1301\" class=\"data row0 col1301\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row0_col1302\" class=\"data row0 col1302\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row0_col1303\" class=\"data row0 col1303\" >2.964000</td>\n",
       "      <td id=\"T_457a2_row0_col1304\" class=\"data row0 col1304\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row0_col1305\" class=\"data row0 col1305\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row0_col1306\" class=\"data row0 col1306\" >3.206000</td>\n",
       "      <td id=\"T_457a2_row0_col1307\" class=\"data row0 col1307\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row0_col1308\" class=\"data row0 col1308\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row0_col1309\" class=\"data row0 col1309\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row0_col1310\" class=\"data row0 col1310\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row0_col1311\" class=\"data row0 col1311\" >2.490000</td>\n",
       "      <td id=\"T_457a2_row0_col1312\" class=\"data row0 col1312\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row0_col1313\" class=\"data row0 col1313\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row0_col1314\" class=\"data row0 col1314\" >2.718000</td>\n",
       "      <td id=\"T_457a2_row0_col1315\" class=\"data row0 col1315\" >2.320000</td>\n",
       "      <td id=\"T_457a2_row0_col1316\" class=\"data row0 col1316\" >2.061000</td>\n",
       "      <td id=\"T_457a2_row0_col1317\" class=\"data row0 col1317\" >3.416000</td>\n",
       "      <td id=\"T_457a2_row0_col1318\" class=\"data row0 col1318\" >2.990000</td>\n",
       "      <td id=\"T_457a2_row0_col1319\" class=\"data row0 col1319\" >3.222000</td>\n",
       "      <td id=\"T_457a2_row0_col1320\" class=\"data row0 col1320\" >3.189000</td>\n",
       "      <td id=\"T_457a2_row0_col1321\" class=\"data row0 col1321\" >2.283000</td>\n",
       "      <td id=\"T_457a2_row0_col1322\" class=\"data row0 col1322\" >3.953000</td>\n",
       "      <td id=\"T_457a2_row0_col1323\" class=\"data row0 col1323\" >2.974000</td>\n",
       "      <td id=\"T_457a2_row0_col1324\" class=\"data row0 col1324\" >3.173000</td>\n",
       "      <td id=\"T_457a2_row0_col1325\" class=\"data row0 col1325\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row0_col1326\" class=\"data row0 col1326\" >3.552000</td>\n",
       "      <td id=\"T_457a2_row0_col1327\" class=\"data row0 col1327\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row0_col1328\" class=\"data row0 col1328\" >2.352000</td>\n",
       "      <td id=\"T_457a2_row0_col1329\" class=\"data row0 col1329\" >2.823000</td>\n",
       "      <td id=\"T_457a2_row0_col1330\" class=\"data row0 col1330\" >2.824000</td>\n",
       "      <td id=\"T_457a2_row0_col1331\" class=\"data row0 col1331\" >2.568000</td>\n",
       "      <td id=\"T_457a2_row0_col1332\" class=\"data row0 col1332\" >3.127000</td>\n",
       "      <td id=\"T_457a2_row0_col1333\" class=\"data row0 col1333\" >2.941000</td>\n",
       "      <td id=\"T_457a2_row0_col1334\" class=\"data row0 col1334\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row0_col1335\" class=\"data row0 col1335\" >2.785000</td>\n",
       "      <td id=\"T_457a2_row0_col1336\" class=\"data row0 col1336\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row0_col1337\" class=\"data row0 col1337\" >3.091000</td>\n",
       "      <td id=\"T_457a2_row0_col1338\" class=\"data row0 col1338\" >2.957000</td>\n",
       "      <td id=\"T_457a2_row0_col1339\" class=\"data row0 col1339\" >2.660000</td>\n",
       "      <td id=\"T_457a2_row0_col1340\" class=\"data row0 col1340\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row0_col1341\" class=\"data row0 col1341\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row0_col1342\" class=\"data row0 col1342\" >2.503000</td>\n",
       "      <td id=\"T_457a2_row0_col1343\" class=\"data row0 col1343\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row0_col1344\" class=\"data row0 col1344\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row0_col1345\" class=\"data row0 col1345\" >2.410000</td>\n",
       "      <td id=\"T_457a2_row0_col1346\" class=\"data row0 col1346\" >2.469000</td>\n",
       "      <td id=\"T_457a2_row0_col1347\" class=\"data row0 col1347\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row0_col1348\" class=\"data row0 col1348\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row0_col1349\" class=\"data row0 col1349\" >2.354000</td>\n",
       "      <td id=\"T_457a2_row0_col1350\" class=\"data row0 col1350\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row0_col1351\" class=\"data row0 col1351\" >2.910000</td>\n",
       "      <td id=\"T_457a2_row0_col1352\" class=\"data row0 col1352\" >2.339000</td>\n",
       "      <td id=\"T_457a2_row0_col1353\" class=\"data row0 col1353\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row0_col1354\" class=\"data row0 col1354\" >3.293000</td>\n",
       "      <td id=\"T_457a2_row0_col1355\" class=\"data row0 col1355\" >2.840000</td>\n",
       "      <td id=\"T_457a2_row0_col1356\" class=\"data row0 col1356\" >2.103000</td>\n",
       "      <td id=\"T_457a2_row0_col1357\" class=\"data row0 col1357\" >2.887000</td>\n",
       "      <td id=\"T_457a2_row0_col1358\" class=\"data row0 col1358\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row0_col1359\" class=\"data row0 col1359\" >2.589000</td>\n",
       "      <td id=\"T_457a2_row0_col1360\" class=\"data row0 col1360\" >2.890000</td>\n",
       "      <td id=\"T_457a2_row0_col1361\" class=\"data row0 col1361\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row0_col1362\" class=\"data row0 col1362\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row0_col1363\" class=\"data row0 col1363\" >3.334000</td>\n",
       "      <td id=\"T_457a2_row0_col1364\" class=\"data row0 col1364\" >3.065000</td>\n",
       "      <td id=\"T_457a2_row0_col1365\" class=\"data row0 col1365\" >2.840000</td>\n",
       "      <td id=\"T_457a2_row0_col1366\" class=\"data row0 col1366\" >2.773000</td>\n",
       "      <td id=\"T_457a2_row0_col1367\" class=\"data row0 col1367\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row0_col1368\" class=\"data row0 col1368\" >3.001000</td>\n",
       "      <td id=\"T_457a2_row0_col1369\" class=\"data row0 col1369\" >3.445000</td>\n",
       "      <td id=\"T_457a2_row0_col1370\" class=\"data row0 col1370\" >3.205000</td>\n",
       "      <td id=\"T_457a2_row0_col1371\" class=\"data row0 col1371\" >3.060000</td>\n",
       "      <td id=\"T_457a2_row0_col1372\" class=\"data row0 col1372\" >3.463000</td>\n",
       "      <td id=\"T_457a2_row0_col1373\" class=\"data row0 col1373\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row0_col1374\" class=\"data row0 col1374\" >3.020000</td>\n",
       "      <td id=\"T_457a2_row0_col1375\" class=\"data row0 col1375\" >4.139000</td>\n",
       "      <td id=\"T_457a2_row0_col1376\" class=\"data row0 col1376\" >3.467000</td>\n",
       "      <td id=\"T_457a2_row0_col1377\" class=\"data row0 col1377\" >2.671000</td>\n",
       "      <td id=\"T_457a2_row0_col1378\" class=\"data row0 col1378\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row0_col1379\" class=\"data row0 col1379\" >2.745000</td>\n",
       "      <td id=\"T_457a2_row0_col1380\" class=\"data row0 col1380\" >2.555000</td>\n",
       "      <td id=\"T_457a2_row0_col1381\" class=\"data row0 col1381\" >3.411000</td>\n",
       "      <td id=\"T_457a2_row0_col1382\" class=\"data row0 col1382\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row0_col1383\" class=\"data row0 col1383\" >2.476000</td>\n",
       "      <td id=\"T_457a2_row0_col1384\" class=\"data row0 col1384\" >2.295000</td>\n",
       "      <td id=\"T_457a2_row0_col1385\" class=\"data row0 col1385\" >3.212000</td>\n",
       "      <td id=\"T_457a2_row0_col1386\" class=\"data row0 col1386\" >3.639000</td>\n",
       "      <td id=\"T_457a2_row0_col1387\" class=\"data row0 col1387\" >2.652000</td>\n",
       "      <td id=\"T_457a2_row0_col1388\" class=\"data row0 col1388\" >3.449000</td>\n",
       "      <td id=\"T_457a2_row0_col1389\" class=\"data row0 col1389\" >3.191000</td>\n",
       "      <td id=\"T_457a2_row0_col1390\" class=\"data row0 col1390\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row0_col1391\" class=\"data row0 col1391\" >3.169000</td>\n",
       "      <td id=\"T_457a2_row0_col1392\" class=\"data row0 col1392\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row0_col1393\" class=\"data row0 col1393\" >3.307000</td>\n",
       "      <td id=\"T_457a2_row0_col1394\" class=\"data row0 col1394\" >3.488000</td>\n",
       "      <td id=\"T_457a2_row0_col1395\" class=\"data row0 col1395\" >3.716000</td>\n",
       "      <td id=\"T_457a2_row0_col1396\" class=\"data row0 col1396\" >3.194000</td>\n",
       "      <td id=\"T_457a2_row0_col1397\" class=\"data row0 col1397\" >2.883000</td>\n",
       "      <td id=\"T_457a2_row0_col1398\" class=\"data row0 col1398\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row0_col1399\" class=\"data row0 col1399\" >2.745000</td>\n",
       "      <td id=\"T_457a2_row0_col1400\" class=\"data row0 col1400\" >3.339000</td>\n",
       "      <td id=\"T_457a2_row0_col1401\" class=\"data row0 col1401\" >2.791000</td>\n",
       "      <td id=\"T_457a2_row0_col1402\" class=\"data row0 col1402\" >2.876000</td>\n",
       "      <td id=\"T_457a2_row0_col1403\" class=\"data row0 col1403\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row0_col1404\" class=\"data row0 col1404\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row0_col1405\" class=\"data row0 col1405\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row0_col1406\" class=\"data row0 col1406\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row0_col1407\" class=\"data row0 col1407\" >2.726000</td>\n",
       "      <td id=\"T_457a2_row0_col1408\" class=\"data row0 col1408\" >2.608000</td>\n",
       "      <td id=\"T_457a2_row0_col1409\" class=\"data row0 col1409\" >2.266000</td>\n",
       "      <td id=\"T_457a2_row0_col1410\" class=\"data row0 col1410\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row0_col1411\" class=\"data row0 col1411\" >2.944000</td>\n",
       "      <td id=\"T_457a2_row0_col1412\" class=\"data row0 col1412\" >2.953000</td>\n",
       "      <td id=\"T_457a2_row0_col1413\" class=\"data row0 col1413\" >2.967000</td>\n",
       "      <td id=\"T_457a2_row0_col1414\" class=\"data row0 col1414\" >3.014000</td>\n",
       "      <td id=\"T_457a2_row0_col1415\" class=\"data row0 col1415\" >2.786000</td>\n",
       "      <td id=\"T_457a2_row0_col1416\" class=\"data row0 col1416\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row0_col1417\" class=\"data row0 col1417\" >2.655000</td>\n",
       "      <td id=\"T_457a2_row0_col1418\" class=\"data row0 col1418\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row0_col1419\" class=\"data row0 col1419\" >2.298000</td>\n",
       "      <td id=\"T_457a2_row0_col1420\" class=\"data row0 col1420\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row0_col1421\" class=\"data row0 col1421\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row0_col1422\" class=\"data row0 col1422\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row0_col1423\" class=\"data row0 col1423\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row0_col1424\" class=\"data row0 col1424\" >2.441000</td>\n",
       "      <td id=\"T_457a2_row0_col1425\" class=\"data row0 col1425\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row0_col1426\" class=\"data row0 col1426\" >3.097000</td>\n",
       "      <td id=\"T_457a2_row0_col1427\" class=\"data row0 col1427\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row0_col1428\" class=\"data row0 col1428\" >2.623000</td>\n",
       "      <td id=\"T_457a2_row0_col1429\" class=\"data row0 col1429\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row0_col1430\" class=\"data row0 col1430\" >3.696000</td>\n",
       "      <td id=\"T_457a2_row0_col1431\" class=\"data row0 col1431\" >2.837000</td>\n",
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       "      <td id=\"T_457a2_row1_col1028\" class=\"data row1 col1028\" >555.920000</td>\n",
       "      <td id=\"T_457a2_row1_col1029\" class=\"data row1 col1029\" >245.270000</td>\n",
       "      <td id=\"T_457a2_row1_col1030\" class=\"data row1 col1030\" >333.170000</td>\n",
       "      <td id=\"T_457a2_row1_col1031\" class=\"data row1 col1031\" >565.420000</td>\n",
       "      <td id=\"T_457a2_row1_col1032\" class=\"data row1 col1032\" >597.760000</td>\n",
       "      <td id=\"T_457a2_row1_col1033\" class=\"data row1 col1033\" >440.960000</td>\n",
       "      <td id=\"T_457a2_row1_col1034\" class=\"data row1 col1034\" >1271.100000</td>\n",
       "      <td id=\"T_457a2_row1_col1035\" class=\"data row1 col1035\" >589.090000</td>\n",
       "      <td id=\"T_457a2_row1_col1036\" class=\"data row1 col1036\" >808.220000</td>\n",
       "      <td id=\"T_457a2_row1_col1037\" class=\"data row1 col1037\" >1193.600000</td>\n",
       "      <td id=\"T_457a2_row1_col1038\" class=\"data row1 col1038\" >1118.800000</td>\n",
       "      <td id=\"T_457a2_row1_col1039\" class=\"data row1 col1039\" >666.860000</td>\n",
       "      <td id=\"T_457a2_row1_col1040\" class=\"data row1 col1040\" >425.650000</td>\n",
       "      <td id=\"T_457a2_row1_col1041\" class=\"data row1 col1041\" >804.400000</td>\n",
       "      <td id=\"T_457a2_row1_col1042\" class=\"data row1 col1042\" >761.030000</td>\n",
       "      <td id=\"T_457a2_row1_col1043\" class=\"data row1 col1043\" >461.890000</td>\n",
       "      <td id=\"T_457a2_row1_col1044\" class=\"data row1 col1044\" >322.240000</td>\n",
       "      <td id=\"T_457a2_row1_col1045\" class=\"data row1 col1045\" >590.110000</td>\n",
       "      <td id=\"T_457a2_row1_col1046\" class=\"data row1 col1046\" >695.600000</td>\n",
       "      <td id=\"T_457a2_row1_col1047\" class=\"data row1 col1047\" >572.290000</td>\n",
       "      <td id=\"T_457a2_row1_col1048\" class=\"data row1 col1048\" >517.380000</td>\n",
       "      <td id=\"T_457a2_row1_col1049\" class=\"data row1 col1049\" >437.070000</td>\n",
       "      <td id=\"T_457a2_row1_col1050\" class=\"data row1 col1050\" >401.600000</td>\n",
       "      <td id=\"T_457a2_row1_col1051\" class=\"data row1 col1051\" >1037.100000</td>\n",
       "      <td id=\"T_457a2_row1_col1052\" class=\"data row1 col1052\" >1236.600000</td>\n",
       "      <td id=\"T_457a2_row1_col1053\" class=\"data row1 col1053\" >1337.700000</td>\n",
       "      <td id=\"T_457a2_row1_col1054\" class=\"data row1 col1054\" >816.830000</td>\n",
       "      <td id=\"T_457a2_row1_col1055\" class=\"data row1 col1055\" >179.370000</td>\n",
       "      <td id=\"T_457a2_row1_col1056\" class=\"data row1 col1056\" >369.220000</td>\n",
       "      <td id=\"T_457a2_row1_col1057\" class=\"data row1 col1057\" >253.220000</td>\n",
       "      <td id=\"T_457a2_row1_col1058\" class=\"data row1 col1058\" >253.120000</td>\n",
       "      <td id=\"T_457a2_row1_col1059\" class=\"data row1 col1059\" >126.080000</td>\n",
       "      <td id=\"T_457a2_row1_col1060\" class=\"data row1 col1060\" >327.000000</td>\n",
       "      <td id=\"T_457a2_row1_col1061\" class=\"data row1 col1061\" >267.480000</td>\n",
       "      <td id=\"T_457a2_row1_col1062\" class=\"data row1 col1062\" >150.260000</td>\n",
       "      <td id=\"T_457a2_row1_col1063\" class=\"data row1 col1063\" >269.570000</td>\n",
       "      <td id=\"T_457a2_row1_col1064\" class=\"data row1 col1064\" >163.010000</td>\n",
       "      <td id=\"T_457a2_row1_col1065\" class=\"data row1 col1065\" >138.150000</td>\n",
       "      <td id=\"T_457a2_row1_col1066\" class=\"data row1 col1066\" >441.350000</td>\n",
       "      <td id=\"T_457a2_row1_col1067\" class=\"data row1 col1067\" >168.460000</td>\n",
       "      <td id=\"T_457a2_row1_col1068\" class=\"data row1 col1068\" >199.170000</td>\n",
       "      <td id=\"T_457a2_row1_col1069\" class=\"data row1 col1069\" >280.700000</td>\n",
       "      <td id=\"T_457a2_row1_col1070\" class=\"data row1 col1070\" >296.440000</td>\n",
       "      <td id=\"T_457a2_row1_col1071\" class=\"data row1 col1071\" >156.660000</td>\n",
       "      <td id=\"T_457a2_row1_col1072\" class=\"data row1 col1072\" >399.760000</td>\n",
       "      <td id=\"T_457a2_row1_col1073\" class=\"data row1 col1073\" >751.560000</td>\n",
       "      <td id=\"T_457a2_row1_col1074\" class=\"data row1 col1074\" >482.840000</td>\n",
       "      <td id=\"T_457a2_row1_col1075\" class=\"data row1 col1075\" >624.440000</td>\n",
       "      <td id=\"T_457a2_row1_col1076\" class=\"data row1 col1076\" >216.360000</td>\n",
       "      <td id=\"T_457a2_row1_col1077\" class=\"data row1 col1077\" >251.950000</td>\n",
       "      <td id=\"T_457a2_row1_col1078\" class=\"data row1 col1078\" >382.340000</td>\n",
       "      <td id=\"T_457a2_row1_col1079\" class=\"data row1 col1079\" >564.660000</td>\n",
       "      <td id=\"T_457a2_row1_col1080\" class=\"data row1 col1080\" >512.010000</td>\n",
       "      <td id=\"T_457a2_row1_col1081\" class=\"data row1 col1081\" >263.750000</td>\n",
       "      <td id=\"T_457a2_row1_col1082\" class=\"data row1 col1082\" >302.650000</td>\n",
       "      <td id=\"T_457a2_row1_col1083\" class=\"data row1 col1083\" >197.210000</td>\n",
       "      <td id=\"T_457a2_row1_col1084\" class=\"data row1 col1084\" >2.054000</td>\n",
       "      <td id=\"T_457a2_row1_col1085\" class=\"data row1 col1085\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row1_col1086\" class=\"data row1 col1086\" >2.162000</td>\n",
       "      <td id=\"T_457a2_row1_col1087\" class=\"data row1 col1087\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row1_col1088\" class=\"data row1 col1088\" >2.561000</td>\n",
       "      <td id=\"T_457a2_row1_col1089\" class=\"data row1 col1089\" >2.374000</td>\n",
       "      <td id=\"T_457a2_row1_col1090\" class=\"data row1 col1090\" >2.202000</td>\n",
       "      <td id=\"T_457a2_row1_col1091\" class=\"data row1 col1091\" >2.864000</td>\n",
       "      <td id=\"T_457a2_row1_col1092\" class=\"data row1 col1092\" >2.058000</td>\n",
       "      <td id=\"T_457a2_row1_col1093\" class=\"data row1 col1093\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row1_col1094\" class=\"data row1 col1094\" >3.172000</td>\n",
       "      <td id=\"T_457a2_row1_col1095\" class=\"data row1 col1095\" >3.341000</td>\n",
       "      <td id=\"T_457a2_row1_col1096\" class=\"data row1 col1096\" >2.417000</td>\n",
       "      <td id=\"T_457a2_row1_col1097\" class=\"data row1 col1097\" >2.359000</td>\n",
       "      <td id=\"T_457a2_row1_col1098\" class=\"data row1 col1098\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row1_col1099\" class=\"data row1 col1099\" >2.400000</td>\n",
       "      <td id=\"T_457a2_row1_col1100\" class=\"data row1 col1100\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row1_col1101\" class=\"data row1 col1101\" >3.118000</td>\n",
       "      <td id=\"T_457a2_row1_col1102\" class=\"data row1 col1102\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row1_col1103\" class=\"data row1 col1103\" >2.900000</td>\n",
       "      <td id=\"T_457a2_row1_col1104\" class=\"data row1 col1104\" >3.149000</td>\n",
       "      <td id=\"T_457a2_row1_col1105\" class=\"data row1 col1105\" >3.205000</td>\n",
       "      <td id=\"T_457a2_row1_col1106\" class=\"data row1 col1106\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row1_col1107\" class=\"data row1 col1107\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row1_col1108\" class=\"data row1 col1108\" >3.035000</td>\n",
       "      <td id=\"T_457a2_row1_col1109\" class=\"data row1 col1109\" >3.381000</td>\n",
       "      <td id=\"T_457a2_row1_col1110\" class=\"data row1 col1110\" >2.793000</td>\n",
       "      <td id=\"T_457a2_row1_col1111\" class=\"data row1 col1111\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row1_col1112\" class=\"data row1 col1112\" >3.267000</td>\n",
       "      <td id=\"T_457a2_row1_col1113\" class=\"data row1 col1113\" >3.114000</td>\n",
       "      <td id=\"T_457a2_row1_col1114\" class=\"data row1 col1114\" >3.209000</td>\n",
       "      <td id=\"T_457a2_row1_col1115\" class=\"data row1 col1115\" >3.456000</td>\n",
       "      <td id=\"T_457a2_row1_col1116\" class=\"data row1 col1116\" >3.793000</td>\n",
       "      <td id=\"T_457a2_row1_col1117\" class=\"data row1 col1117\" >3.662000</td>\n",
       "      <td id=\"T_457a2_row1_col1118\" class=\"data row1 col1118\" >2.910000</td>\n",
       "      <td id=\"T_457a2_row1_col1119\" class=\"data row1 col1119\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row1_col1120\" class=\"data row1 col1120\" >2.420000</td>\n",
       "      <td id=\"T_457a2_row1_col1121\" class=\"data row1 col1121\" >3.065000</td>\n",
       "      <td id=\"T_457a2_row1_col1122\" class=\"data row1 col1122\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row1_col1123\" class=\"data row1 col1123\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row1_col1124\" class=\"data row1 col1124\" >2.883000</td>\n",
       "      <td id=\"T_457a2_row1_col1125\" class=\"data row1 col1125\" >2.760000</td>\n",
       "      <td id=\"T_457a2_row1_col1126\" class=\"data row1 col1126\" >3.422000</td>\n",
       "      <td id=\"T_457a2_row1_col1127\" class=\"data row1 col1127\" >3.311000</td>\n",
       "      <td id=\"T_457a2_row1_col1128\" class=\"data row1 col1128\" >2.831000</td>\n",
       "      <td id=\"T_457a2_row1_col1129\" class=\"data row1 col1129\" >3.206000</td>\n",
       "      <td id=\"T_457a2_row1_col1130\" class=\"data row1 col1130\" >3.017000</td>\n",
       "      <td id=\"T_457a2_row1_col1131\" class=\"data row1 col1131\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row1_col1132\" class=\"data row1 col1132\" >2.997000</td>\n",
       "      <td id=\"T_457a2_row1_col1133\" class=\"data row1 col1133\" >2.588000</td>\n",
       "      <td id=\"T_457a2_row1_col1134\" class=\"data row1 col1134\" >2.857000</td>\n",
       "      <td id=\"T_457a2_row1_col1135\" class=\"data row1 col1135\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row1_col1136\" class=\"data row1 col1136\" >2.323000</td>\n",
       "      <td id=\"T_457a2_row1_col1137\" class=\"data row1 col1137\" >2.984000</td>\n",
       "      <td id=\"T_457a2_row1_col1138\" class=\"data row1 col1138\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row1_col1139\" class=\"data row1 col1139\" >3.528000</td>\n",
       "      <td id=\"T_457a2_row1_col1140\" class=\"data row1 col1140\" >3.644000</td>\n",
       "      <td id=\"T_457a2_row1_col1141\" class=\"data row1 col1141\" >2.496000</td>\n",
       "      <td id=\"T_457a2_row1_col1142\" class=\"data row1 col1142\" >3.511000</td>\n",
       "      <td id=\"T_457a2_row1_col1143\" class=\"data row1 col1143\" >3.366000</td>\n",
       "      <td id=\"T_457a2_row1_col1144\" class=\"data row1 col1144\" >3.052000</td>\n",
       "      <td id=\"T_457a2_row1_col1145\" class=\"data row1 col1145\" >3.539000</td>\n",
       "      <td id=\"T_457a2_row1_col1146\" class=\"data row1 col1146\" >3.675000</td>\n",
       "      <td id=\"T_457a2_row1_col1147\" class=\"data row1 col1147\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row1_col1148\" class=\"data row1 col1148\" >2.633000</td>\n",
       "      <td id=\"T_457a2_row1_col1149\" class=\"data row1 col1149\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row1_col1150\" class=\"data row1 col1150\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row1_col1151\" class=\"data row1 col1151\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row1_col1152\" class=\"data row1 col1152\" >3.525000</td>\n",
       "      <td id=\"T_457a2_row1_col1153\" class=\"data row1 col1153\" >3.863000</td>\n",
       "      <td id=\"T_457a2_row1_col1154\" class=\"data row1 col1154\" >3.077000</td>\n",
       "      <td id=\"T_457a2_row1_col1155\" class=\"data row1 col1155\" >3.416000</td>\n",
       "      <td id=\"T_457a2_row1_col1156\" class=\"data row1 col1156\" >2.762000</td>\n",
       "      <td id=\"T_457a2_row1_col1157\" class=\"data row1 col1157\" >2.939000</td>\n",
       "      <td id=\"T_457a2_row1_col1158\" class=\"data row1 col1158\" >3.004000</td>\n",
       "      <td id=\"T_457a2_row1_col1159\" class=\"data row1 col1159\" >3.123000</td>\n",
       "      <td id=\"T_457a2_row1_col1160\" class=\"data row1 col1160\" >3.193000</td>\n",
       "      <td id=\"T_457a2_row1_col1161\" class=\"data row1 col1161\" >2.939000</td>\n",
       "      <td id=\"T_457a2_row1_col1162\" class=\"data row1 col1162\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row1_col1163\" class=\"data row1 col1163\" >2.645000</td>\n",
       "      <td id=\"T_457a2_row1_col1164\" class=\"data row1 col1164\" >2.606000</td>\n",
       "      <td id=\"T_457a2_row1_col1165\" class=\"data row1 col1165\" >2.892000</td>\n",
       "      <td id=\"T_457a2_row1_col1166\" class=\"data row1 col1166\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row1_col1167\" class=\"data row1 col1167\" >2.978000</td>\n",
       "      <td id=\"T_457a2_row1_col1168\" class=\"data row1 col1168\" >2.770000</td>\n",
       "      <td id=\"T_457a2_row1_col1169\" class=\"data row1 col1169\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row1_col1170\" class=\"data row1 col1170\" >3.110000</td>\n",
       "      <td id=\"T_457a2_row1_col1171\" class=\"data row1 col1171\" >3.008000</td>\n",
       "      <td id=\"T_457a2_row1_col1172\" class=\"data row1 col1172\" >2.588000</td>\n",
       "      <td id=\"T_457a2_row1_col1173\" class=\"data row1 col1173\" >3.168000</td>\n",
       "      <td id=\"T_457a2_row1_col1174\" class=\"data row1 col1174\" >2.965000</td>\n",
       "      <td id=\"T_457a2_row1_col1175\" class=\"data row1 col1175\" >2.763000</td>\n",
       "      <td id=\"T_457a2_row1_col1176\" class=\"data row1 col1176\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row1_col1177\" class=\"data row1 col1177\" >2.933000</td>\n",
       "      <td id=\"T_457a2_row1_col1178\" class=\"data row1 col1178\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row1_col1179\" class=\"data row1 col1179\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row1_col1180\" class=\"data row1 col1180\" >3.233000</td>\n",
       "      <td id=\"T_457a2_row1_col1181\" class=\"data row1 col1181\" >3.239000</td>\n",
       "      <td id=\"T_457a2_row1_col1182\" class=\"data row1 col1182\" >3.654000</td>\n",
       "      <td id=\"T_457a2_row1_col1183\" class=\"data row1 col1183\" >3.539000</td>\n",
       "      <td id=\"T_457a2_row1_col1184\" class=\"data row1 col1184\" >3.362000</td>\n",
       "      <td id=\"T_457a2_row1_col1185\" class=\"data row1 col1185\" >3.112000</td>\n",
       "      <td id=\"T_457a2_row1_col1186\" class=\"data row1 col1186\" >3.237000</td>\n",
       "      <td id=\"T_457a2_row1_col1187\" class=\"data row1 col1187\" >2.552000</td>\n",
       "      <td id=\"T_457a2_row1_col1188\" class=\"data row1 col1188\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row1_col1189\" class=\"data row1 col1189\" >4.151000</td>\n",
       "      <td id=\"T_457a2_row1_col1190\" class=\"data row1 col1190\" >3.704000</td>\n",
       "      <td id=\"T_457a2_row1_col1191\" class=\"data row1 col1191\" >3.212000</td>\n",
       "      <td id=\"T_457a2_row1_col1192\" class=\"data row1 col1192\" >3.530000</td>\n",
       "      <td id=\"T_457a2_row1_col1193\" class=\"data row1 col1193\" >4.007000</td>\n",
       "      <td id=\"T_457a2_row1_col1194\" class=\"data row1 col1194\" >3.435000</td>\n",
       "      <td id=\"T_457a2_row1_col1195\" class=\"data row1 col1195\" >4.444000</td>\n",
       "      <td id=\"T_457a2_row1_col1196\" class=\"data row1 col1196\" >2.963000</td>\n",
       "      <td id=\"T_457a2_row1_col1197\" class=\"data row1 col1197\" >2.861000</td>\n",
       "      <td id=\"T_457a2_row1_col1198\" class=\"data row1 col1198\" >2.846000</td>\n",
       "      <td id=\"T_457a2_row1_col1199\" class=\"data row1 col1199\" >2.806000</td>\n",
       "      <td id=\"T_457a2_row1_col1200\" class=\"data row1 col1200\" >2.640000</td>\n",
       "      <td id=\"T_457a2_row1_col1201\" class=\"data row1 col1201\" >3.371000</td>\n",
       "      <td id=\"T_457a2_row1_col1202\" class=\"data row1 col1202\" >2.330000</td>\n",
       "      <td id=\"T_457a2_row1_col1203\" class=\"data row1 col1203\" >2.615000</td>\n",
       "      <td id=\"T_457a2_row1_col1204\" class=\"data row1 col1204\" >2.989000</td>\n",
       "      <td id=\"T_457a2_row1_col1205\" class=\"data row1 col1205\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row1_col1206\" class=\"data row1 col1206\" >4.124000</td>\n",
       "      <td id=\"T_457a2_row1_col1207\" class=\"data row1 col1207\" >2.806000</td>\n",
       "      <td id=\"T_457a2_row1_col1208\" class=\"data row1 col1208\" >3.152000</td>\n",
       "      <td id=\"T_457a2_row1_col1209\" class=\"data row1 col1209\" >3.184000</td>\n",
       "      <td id=\"T_457a2_row1_col1210\" class=\"data row1 col1210\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row1_col1211\" class=\"data row1 col1211\" >3.063000</td>\n",
       "      <td id=\"T_457a2_row1_col1212\" class=\"data row1 col1212\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row1_col1213\" class=\"data row1 col1213\" >2.887000</td>\n",
       "      <td id=\"T_457a2_row1_col1214\" class=\"data row1 col1214\" >3.670000</td>\n",
       "      <td id=\"T_457a2_row1_col1215\" class=\"data row1 col1215\" >3.486000</td>\n",
       "      <td id=\"T_457a2_row1_col1216\" class=\"data row1 col1216\" >3.486000</td>\n",
       "      <td id=\"T_457a2_row1_col1217\" class=\"data row1 col1217\" >2.806000</td>\n",
       "      <td id=\"T_457a2_row1_col1218\" class=\"data row1 col1218\" >3.292000</td>\n",
       "      <td id=\"T_457a2_row1_col1219\" class=\"data row1 col1219\" >3.047000</td>\n",
       "      <td id=\"T_457a2_row1_col1220\" class=\"data row1 col1220\" >3.179000</td>\n",
       "      <td id=\"T_457a2_row1_col1221\" class=\"data row1 col1221\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row1_col1222\" class=\"data row1 col1222\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row1_col1223\" class=\"data row1 col1223\" >3.172000</td>\n",
       "      <td id=\"T_457a2_row1_col1224\" class=\"data row1 col1224\" >3.164000</td>\n",
       "      <td id=\"T_457a2_row1_col1225\" class=\"data row1 col1225\" >2.582000</td>\n",
       "      <td id=\"T_457a2_row1_col1226\" class=\"data row1 col1226\" >3.360000</td>\n",
       "      <td id=\"T_457a2_row1_col1227\" class=\"data row1 col1227\" >2.973000</td>\n",
       "      <td id=\"T_457a2_row1_col1228\" class=\"data row1 col1228\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row1_col1229\" class=\"data row1 col1229\" >2.707000</td>\n",
       "      <td id=\"T_457a2_row1_col1230\" class=\"data row1 col1230\" >3.328000</td>\n",
       "      <td id=\"T_457a2_row1_col1231\" class=\"data row1 col1231\" >3.128000</td>\n",
       "      <td id=\"T_457a2_row1_col1232\" class=\"data row1 col1232\" >3.159000</td>\n",
       "      <td id=\"T_457a2_row1_col1233\" class=\"data row1 col1233\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row1_col1234\" class=\"data row1 col1234\" >3.157000</td>\n",
       "      <td id=\"T_457a2_row1_col1235\" class=\"data row1 col1235\" >2.634000</td>\n",
       "      <td id=\"T_457a2_row1_col1236\" class=\"data row1 col1236\" >2.986000</td>\n",
       "      <td id=\"T_457a2_row1_col1237\" class=\"data row1 col1237\" >2.787000</td>\n",
       "      <td id=\"T_457a2_row1_col1238\" class=\"data row1 col1238\" >2.526000</td>\n",
       "      <td id=\"T_457a2_row1_col1239\" class=\"data row1 col1239\" >2.323000</td>\n",
       "      <td id=\"T_457a2_row1_col1240\" class=\"data row1 col1240\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row1_col1241\" class=\"data row1 col1241\" >2.933000</td>\n",
       "      <td id=\"T_457a2_row1_col1242\" class=\"data row1 col1242\" >3.177000</td>\n",
       "      <td id=\"T_457a2_row1_col1243\" class=\"data row1 col1243\" >2.791000</td>\n",
       "      <td id=\"T_457a2_row1_col1244\" class=\"data row1 col1244\" >2.802000</td>\n",
       "      <td id=\"T_457a2_row1_col1245\" class=\"data row1 col1245\" >3.818000</td>\n",
       "      <td id=\"T_457a2_row1_col1246\" class=\"data row1 col1246\" >3.225000</td>\n",
       "      <td id=\"T_457a2_row1_col1247\" class=\"data row1 col1247\" >4.171000</td>\n",
       "      <td id=\"T_457a2_row1_col1248\" class=\"data row1 col1248\" >3.630000</td>\n",
       "      <td id=\"T_457a2_row1_col1249\" class=\"data row1 col1249\" >3.517000</td>\n",
       "      <td id=\"T_457a2_row1_col1250\" class=\"data row1 col1250\" >4.078000</td>\n",
       "      <td id=\"T_457a2_row1_col1251\" class=\"data row1 col1251\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row1_col1252\" class=\"data row1 col1252\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row1_col1253\" class=\"data row1 col1253\" >2.953000</td>\n",
       "      <td id=\"T_457a2_row1_col1254\" class=\"data row1 col1254\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row1_col1255\" class=\"data row1 col1255\" >3.023000</td>\n",
       "      <td id=\"T_457a2_row1_col1256\" class=\"data row1 col1256\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row1_col1257\" class=\"data row1 col1257\" >3.106000</td>\n",
       "      <td id=\"T_457a2_row1_col1258\" class=\"data row1 col1258\" >3.264000</td>\n",
       "      <td id=\"T_457a2_row1_col1259\" class=\"data row1 col1259\" >2.948000</td>\n",
       "      <td id=\"T_457a2_row1_col1260\" class=\"data row1 col1260\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row1_col1261\" class=\"data row1 col1261\" >3.252000</td>\n",
       "      <td id=\"T_457a2_row1_col1262\" class=\"data row1 col1262\" >3.239000</td>\n",
       "      <td id=\"T_457a2_row1_col1263\" class=\"data row1 col1263\" >3.757000</td>\n",
       "      <td id=\"T_457a2_row1_col1264\" class=\"data row1 col1264\" >2.101000</td>\n",
       "      <td id=\"T_457a2_row1_col1265\" class=\"data row1 col1265\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row1_col1266\" class=\"data row1 col1266\" >2.502000</td>\n",
       "      <td id=\"T_457a2_row1_col1267\" class=\"data row1 col1267\" >2.575000</td>\n",
       "      <td id=\"T_457a2_row1_col1268\" class=\"data row1 col1268\" >2.528000</td>\n",
       "      <td id=\"T_457a2_row1_col1269\" class=\"data row1 col1269\" >2.427000</td>\n",
       "      <td id=\"T_457a2_row1_col1270\" class=\"data row1 col1270\" >2.715000</td>\n",
       "      <td id=\"T_457a2_row1_col1271\" class=\"data row1 col1271\" >2.825000</td>\n",
       "      <td id=\"T_457a2_row1_col1272\" class=\"data row1 col1272\" >1.906000</td>\n",
       "      <td id=\"T_457a2_row1_col1273\" class=\"data row1 col1273\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row1_col1274\" class=\"data row1 col1274\" >2.628000</td>\n",
       "      <td id=\"T_457a2_row1_col1275\" class=\"data row1 col1275\" >3.264000</td>\n",
       "      <td id=\"T_457a2_row1_col1276\" class=\"data row1 col1276\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row1_col1277\" class=\"data row1 col1277\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row1_col1278\" class=\"data row1 col1278\" >2.754000</td>\n",
       "      <td id=\"T_457a2_row1_col1279\" class=\"data row1 col1279\" >2.383000</td>\n",
       "      <td id=\"T_457a2_row1_col1280\" class=\"data row1 col1280\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row1_col1281\" class=\"data row1 col1281\" >3.149000</td>\n",
       "      <td id=\"T_457a2_row1_col1282\" class=\"data row1 col1282\" >2.366000</td>\n",
       "      <td id=\"T_457a2_row1_col1283\" class=\"data row1 col1283\" >2.867000</td>\n",
       "      <td id=\"T_457a2_row1_col1284\" class=\"data row1 col1284\" >3.597000</td>\n",
       "      <td id=\"T_457a2_row1_col1285\" class=\"data row1 col1285\" >2.912000</td>\n",
       "      <td id=\"T_457a2_row1_col1286\" class=\"data row1 col1286\" >2.264000</td>\n",
       "      <td id=\"T_457a2_row1_col1287\" class=\"data row1 col1287\" >3.242000</td>\n",
       "      <td id=\"T_457a2_row1_col1288\" class=\"data row1 col1288\" >3.727000</td>\n",
       "      <td id=\"T_457a2_row1_col1289\" class=\"data row1 col1289\" >3.763000</td>\n",
       "      <td id=\"T_457a2_row1_col1290\" class=\"data row1 col1290\" >2.774000</td>\n",
       "      <td id=\"T_457a2_row1_col1291\" class=\"data row1 col1291\" >3.394000</td>\n",
       "      <td id=\"T_457a2_row1_col1292\" class=\"data row1 col1292\" >3.727000</td>\n",
       "      <td id=\"T_457a2_row1_col1293\" class=\"data row1 col1293\" >3.635000</td>\n",
       "      <td id=\"T_457a2_row1_col1294\" class=\"data row1 col1294\" >3.581000</td>\n",
       "      <td id=\"T_457a2_row1_col1295\" class=\"data row1 col1295\" >3.711000</td>\n",
       "      <td id=\"T_457a2_row1_col1296\" class=\"data row1 col1296\" >4.152000</td>\n",
       "      <td id=\"T_457a2_row1_col1297\" class=\"data row1 col1297\" >3.802000</td>\n",
       "      <td id=\"T_457a2_row1_col1298\" class=\"data row1 col1298\" >3.144000</td>\n",
       "      <td id=\"T_457a2_row1_col1299\" class=\"data row1 col1299\" >2.919000</td>\n",
       "      <td id=\"T_457a2_row1_col1300\" class=\"data row1 col1300\" >2.692000</td>\n",
       "      <td id=\"T_457a2_row1_col1301\" class=\"data row1 col1301\" >2.884000</td>\n",
       "      <td id=\"T_457a2_row1_col1302\" class=\"data row1 col1302\" >2.911000</td>\n",
       "      <td id=\"T_457a2_row1_col1303\" class=\"data row1 col1303\" >3.081000</td>\n",
       "      <td id=\"T_457a2_row1_col1304\" class=\"data row1 col1304\" >3.061000</td>\n",
       "      <td id=\"T_457a2_row1_col1305\" class=\"data row1 col1305\" >3.385000</td>\n",
       "      <td id=\"T_457a2_row1_col1306\" class=\"data row1 col1306\" >3.358000</td>\n",
       "      <td id=\"T_457a2_row1_col1307\" class=\"data row1 col1307\" >3.186000</td>\n",
       "      <td id=\"T_457a2_row1_col1308\" class=\"data row1 col1308\" >2.825000</td>\n",
       "      <td id=\"T_457a2_row1_col1309\" class=\"data row1 col1309\" >3.193000</td>\n",
       "      <td id=\"T_457a2_row1_col1310\" class=\"data row1 col1310\" >3.069000</td>\n",
       "      <td id=\"T_457a2_row1_col1311\" class=\"data row1 col1311\" >2.875000</td>\n",
       "      <td id=\"T_457a2_row1_col1312\" class=\"data row1 col1312\" >2.509000</td>\n",
       "      <td id=\"T_457a2_row1_col1313\" class=\"data row1 col1313\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row1_col1314\" class=\"data row1 col1314\" >2.801000</td>\n",
       "      <td id=\"T_457a2_row1_col1315\" class=\"data row1 col1315\" >2.352000</td>\n",
       "      <td id=\"T_457a2_row1_col1316\" class=\"data row1 col1316\" >2.201000</td>\n",
       "      <td id=\"T_457a2_row1_col1317\" class=\"data row1 col1317\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row1_col1318\" class=\"data row1 col1318\" >2.662000</td>\n",
       "      <td id=\"T_457a2_row1_col1319\" class=\"data row1 col1319\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row1_col1320\" class=\"data row1 col1320\" >3.577000</td>\n",
       "      <td id=\"T_457a2_row1_col1321\" class=\"data row1 col1321\" >2.120000</td>\n",
       "      <td id=\"T_457a2_row1_col1322\" class=\"data row1 col1322\" >3.713000</td>\n",
       "      <td id=\"T_457a2_row1_col1323\" class=\"data row1 col1323\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row1_col1324\" class=\"data row1 col1324\" >2.925000</td>\n",
       "      <td id=\"T_457a2_row1_col1325\" class=\"data row1 col1325\" >3.395000</td>\n",
       "      <td id=\"T_457a2_row1_col1326\" class=\"data row1 col1326\" >3.458000</td>\n",
       "      <td id=\"T_457a2_row1_col1327\" class=\"data row1 col1327\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row1_col1328\" class=\"data row1 col1328\" >2.256000</td>\n",
       "      <td id=\"T_457a2_row1_col1329\" class=\"data row1 col1329\" >3.473000</td>\n",
       "      <td id=\"T_457a2_row1_col1330\" class=\"data row1 col1330\" >3.073000</td>\n",
       "      <td id=\"T_457a2_row1_col1331\" class=\"data row1 col1331\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row1_col1332\" class=\"data row1 col1332\" >3.401000</td>\n",
       "      <td id=\"T_457a2_row1_col1333\" class=\"data row1 col1333\" >3.784000</td>\n",
       "      <td id=\"T_457a2_row1_col1334\" class=\"data row1 col1334\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row1_col1335\" class=\"data row1 col1335\" >3.293000</td>\n",
       "      <td id=\"T_457a2_row1_col1336\" class=\"data row1 col1336\" >2.634000</td>\n",
       "      <td id=\"T_457a2_row1_col1337\" class=\"data row1 col1337\" >2.841000</td>\n",
       "      <td id=\"T_457a2_row1_col1338\" class=\"data row1 col1338\" >2.601000</td>\n",
       "      <td id=\"T_457a2_row1_col1339\" class=\"data row1 col1339\" >3.206000</td>\n",
       "      <td id=\"T_457a2_row1_col1340\" class=\"data row1 col1340\" >2.947000</td>\n",
       "      <td id=\"T_457a2_row1_col1341\" class=\"data row1 col1341\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row1_col1342\" class=\"data row1 col1342\" >3.076000</td>\n",
       "      <td id=\"T_457a2_row1_col1343\" class=\"data row1 col1343\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row1_col1344\" class=\"data row1 col1344\" >2.643000</td>\n",
       "      <td id=\"T_457a2_row1_col1345\" class=\"data row1 col1345\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row1_col1346\" class=\"data row1 col1346\" >2.820000</td>\n",
       "      <td id=\"T_457a2_row1_col1347\" class=\"data row1 col1347\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row1_col1348\" class=\"data row1 col1348\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row1_col1349\" class=\"data row1 col1349\" >2.578000</td>\n",
       "      <td id=\"T_457a2_row1_col1350\" class=\"data row1 col1350\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row1_col1351\" class=\"data row1 col1351\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row1_col1352\" class=\"data row1 col1352\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row1_col1353\" class=\"data row1 col1353\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row1_col1354\" class=\"data row1 col1354\" >2.921000</td>\n",
       "      <td id=\"T_457a2_row1_col1355\" class=\"data row1 col1355\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row1_col1356\" class=\"data row1 col1356\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row1_col1357\" class=\"data row1 col1357\" >3.356000</td>\n",
       "      <td id=\"T_457a2_row1_col1358\" class=\"data row1 col1358\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row1_col1359\" class=\"data row1 col1359\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row1_col1360\" class=\"data row1 col1360\" >2.999000</td>\n",
       "      <td id=\"T_457a2_row1_col1361\" class=\"data row1 col1361\" >3.342000</td>\n",
       "      <td id=\"T_457a2_row1_col1362\" class=\"data row1 col1362\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row1_col1363\" class=\"data row1 col1363\" >3.450000</td>\n",
       "      <td id=\"T_457a2_row1_col1364\" class=\"data row1 col1364\" >3.639000</td>\n",
       "      <td id=\"T_457a2_row1_col1365\" class=\"data row1 col1365\" >3.626000</td>\n",
       "      <td id=\"T_457a2_row1_col1366\" class=\"data row1 col1366\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row1_col1367\" class=\"data row1 col1367\" >2.791000</td>\n",
       "      <td id=\"T_457a2_row1_col1368\" class=\"data row1 col1368\" >2.950000</td>\n",
       "      <td id=\"T_457a2_row1_col1369\" class=\"data row1 col1369\" >4.473000</td>\n",
       "      <td id=\"T_457a2_row1_col1370\" class=\"data row1 col1370\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row1_col1371\" class=\"data row1 col1371\" >3.252000</td>\n",
       "      <td id=\"T_457a2_row1_col1372\" class=\"data row1 col1372\" >3.798000</td>\n",
       "      <td id=\"T_457a2_row1_col1373\" class=\"data row1 col1373\" >3.355000</td>\n",
       "      <td id=\"T_457a2_row1_col1374\" class=\"data row1 col1374\" >3.170000</td>\n",
       "      <td id=\"T_457a2_row1_col1375\" class=\"data row1 col1375\" >3.889000</td>\n",
       "      <td id=\"T_457a2_row1_col1376\" class=\"data row1 col1376\" >3.421000</td>\n",
       "      <td id=\"T_457a2_row1_col1377\" class=\"data row1 col1377\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row1_col1378\" class=\"data row1 col1378\" >3.064000</td>\n",
       "      <td id=\"T_457a2_row1_col1379\" class=\"data row1 col1379\" >2.939000</td>\n",
       "      <td id=\"T_457a2_row1_col1380\" class=\"data row1 col1380\" >2.594000</td>\n",
       "      <td id=\"T_457a2_row1_col1381\" class=\"data row1 col1381\" >3.710000</td>\n",
       "      <td id=\"T_457a2_row1_col1382\" class=\"data row1 col1382\" >1.723000</td>\n",
       "      <td id=\"T_457a2_row1_col1383\" class=\"data row1 col1383\" >2.812000</td>\n",
       "      <td id=\"T_457a2_row1_col1384\" class=\"data row1 col1384\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row1_col1385\" class=\"data row1 col1385\" >3.540000</td>\n",
       "      <td id=\"T_457a2_row1_col1386\" class=\"data row1 col1386\" >3.462000</td>\n",
       "      <td id=\"T_457a2_row1_col1387\" class=\"data row1 col1387\" >3.091000</td>\n",
       "      <td id=\"T_457a2_row1_col1388\" class=\"data row1 col1388\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row1_col1389\" class=\"data row1 col1389\" >3.238000</td>\n",
       "      <td id=\"T_457a2_row1_col1390\" class=\"data row1 col1390\" >2.802000</td>\n",
       "      <td id=\"T_457a2_row1_col1391\" class=\"data row1 col1391\" >3.075000</td>\n",
       "      <td id=\"T_457a2_row1_col1392\" class=\"data row1 col1392\" >3.143000</td>\n",
       "      <td id=\"T_457a2_row1_col1393\" class=\"data row1 col1393\" >3.434000</td>\n",
       "      <td id=\"T_457a2_row1_col1394\" class=\"data row1 col1394\" >3.531000</td>\n",
       "      <td id=\"T_457a2_row1_col1395\" class=\"data row1 col1395\" >3.467000</td>\n",
       "      <td id=\"T_457a2_row1_col1396\" class=\"data row1 col1396\" >3.497000</td>\n",
       "      <td id=\"T_457a2_row1_col1397\" class=\"data row1 col1397\" >2.903000</td>\n",
       "      <td id=\"T_457a2_row1_col1398\" class=\"data row1 col1398\" >3.330000</td>\n",
       "      <td id=\"T_457a2_row1_col1399\" class=\"data row1 col1399\" >3.187000</td>\n",
       "      <td id=\"T_457a2_row1_col1400\" class=\"data row1 col1400\" >3.113000</td>\n",
       "      <td id=\"T_457a2_row1_col1401\" class=\"data row1 col1401\" >2.840000</td>\n",
       "      <td id=\"T_457a2_row1_col1402\" class=\"data row1 col1402\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row1_col1403\" class=\"data row1 col1403\" >3.014000</td>\n",
       "      <td id=\"T_457a2_row1_col1404\" class=\"data row1 col1404\" >2.828000</td>\n",
       "      <td id=\"T_457a2_row1_col1405\" class=\"data row1 col1405\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row1_col1406\" class=\"data row1 col1406\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row1_col1407\" class=\"data row1 col1407\" >2.781000</td>\n",
       "      <td id=\"T_457a2_row1_col1408\" class=\"data row1 col1408\" >2.739000</td>\n",
       "      <td id=\"T_457a2_row1_col1409\" class=\"data row1 col1409\" >2.740000</td>\n",
       "      <td id=\"T_457a2_row1_col1410\" class=\"data row1 col1410\" >3.230000</td>\n",
       "      <td id=\"T_457a2_row1_col1411\" class=\"data row1 col1411\" >3.292000</td>\n",
       "      <td id=\"T_457a2_row1_col1412\" class=\"data row1 col1412\" >3.084000</td>\n",
       "      <td id=\"T_457a2_row1_col1413\" class=\"data row1 col1413\" >3.080000</td>\n",
       "      <td id=\"T_457a2_row1_col1414\" class=\"data row1 col1414\" >3.090000</td>\n",
       "      <td id=\"T_457a2_row1_col1415\" class=\"data row1 col1415\" >2.747000</td>\n",
       "      <td id=\"T_457a2_row1_col1416\" class=\"data row1 col1416\" >3.154000</td>\n",
       "      <td id=\"T_457a2_row1_col1417\" class=\"data row1 col1417\" >2.972000</td>\n",
       "      <td id=\"T_457a2_row1_col1418\" class=\"data row1 col1418\" >2.454000</td>\n",
       "      <td id=\"T_457a2_row1_col1419\" class=\"data row1 col1419\" >3.292000</td>\n",
       "      <td id=\"T_457a2_row1_col1420\" class=\"data row1 col1420\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row1_col1421\" class=\"data row1 col1421\" >2.555000</td>\n",
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       "      <td id=\"T_457a2_row2_col1017\" class=\"data row2 col1017\" >150.290000</td>\n",
       "      <td id=\"T_457a2_row2_col1018\" class=\"data row2 col1018\" >167.350000</td>\n",
       "      <td id=\"T_457a2_row2_col1019\" class=\"data row2 col1019\" >451.370000</td>\n",
       "      <td id=\"T_457a2_row2_col1020\" class=\"data row2 col1020\" >637.180000</td>\n",
       "      <td id=\"T_457a2_row2_col1021\" class=\"data row2 col1021\" >155.740000</td>\n",
       "      <td id=\"T_457a2_row2_col1022\" class=\"data row2 col1022\" >178.200000</td>\n",
       "      <td id=\"T_457a2_row2_col1023\" class=\"data row2 col1023\" >313.770000</td>\n",
       "      <td id=\"T_457a2_row2_col1024\" class=\"data row2 col1024\" >315.190000</td>\n",
       "      <td id=\"T_457a2_row2_col1025\" class=\"data row2 col1025\" >456.880000</td>\n",
       "      <td id=\"T_457a2_row2_col1026\" class=\"data row2 col1026\" >222.550000</td>\n",
       "      <td id=\"T_457a2_row2_col1027\" class=\"data row2 col1027\" >323.370000</td>\n",
       "      <td id=\"T_457a2_row2_col1028\" class=\"data row2 col1028\" >635.620000</td>\n",
       "      <td id=\"T_457a2_row2_col1029\" class=\"data row2 col1029\" >204.980000</td>\n",
       "      <td id=\"T_457a2_row2_col1030\" class=\"data row2 col1030\" >314.440000</td>\n",
       "      <td id=\"T_457a2_row2_col1031\" class=\"data row2 col1031\" >684.980000</td>\n",
       "      <td id=\"T_457a2_row2_col1032\" class=\"data row2 col1032\" >555.150000</td>\n",
       "      <td id=\"T_457a2_row2_col1033\" class=\"data row2 col1033\" >467.880000</td>\n",
       "      <td id=\"T_457a2_row2_col1034\" class=\"data row2 col1034\" >1352.400000</td>\n",
       "      <td id=\"T_457a2_row2_col1035\" class=\"data row2 col1035\" >448.000000</td>\n",
       "      <td id=\"T_457a2_row2_col1036\" class=\"data row2 col1036\" >788.450000</td>\n",
       "      <td id=\"T_457a2_row2_col1037\" class=\"data row2 col1037\" >877.640000</td>\n",
       "      <td id=\"T_457a2_row2_col1038\" class=\"data row2 col1038\" >815.160000</td>\n",
       "      <td id=\"T_457a2_row2_col1039\" class=\"data row2 col1039\" >634.250000</td>\n",
       "      <td id=\"T_457a2_row2_col1040\" class=\"data row2 col1040\" >623.250000</td>\n",
       "      <td id=\"T_457a2_row2_col1041\" class=\"data row2 col1041\" >618.440000</td>\n",
       "      <td id=\"T_457a2_row2_col1042\" class=\"data row2 col1042\" >966.880000</td>\n",
       "      <td id=\"T_457a2_row2_col1043\" class=\"data row2 col1043\" >666.890000</td>\n",
       "      <td id=\"T_457a2_row2_col1044\" class=\"data row2 col1044\" >390.920000</td>\n",
       "      <td id=\"T_457a2_row2_col1045\" class=\"data row2 col1045\" >628.040000</td>\n",
       "      <td id=\"T_457a2_row2_col1046\" class=\"data row2 col1046\" >655.740000</td>\n",
       "      <td id=\"T_457a2_row2_col1047\" class=\"data row2 col1047\" >327.750000</td>\n",
       "      <td id=\"T_457a2_row2_col1048\" class=\"data row2 col1048\" >515.510000</td>\n",
       "      <td id=\"T_457a2_row2_col1049\" class=\"data row2 col1049\" >307.820000</td>\n",
       "      <td id=\"T_457a2_row2_col1050\" class=\"data row2 col1050\" >276.690000</td>\n",
       "      <td id=\"T_457a2_row2_col1051\" class=\"data row2 col1051\" >698.610000</td>\n",
       "      <td id=\"T_457a2_row2_col1052\" class=\"data row2 col1052\" >965.490000</td>\n",
       "      <td id=\"T_457a2_row2_col1053\" class=\"data row2 col1053\" >1276.200000</td>\n",
       "      <td id=\"T_457a2_row2_col1054\" class=\"data row2 col1054\" >787.160000</td>\n",
       "      <td id=\"T_457a2_row2_col1055\" class=\"data row2 col1055\" >197.090000</td>\n",
       "      <td id=\"T_457a2_row2_col1056\" class=\"data row2 col1056\" >349.040000</td>\n",
       "      <td id=\"T_457a2_row2_col1057\" class=\"data row2 col1057\" >312.290000</td>\n",
       "      <td id=\"T_457a2_row2_col1058\" class=\"data row2 col1058\" >224.400000</td>\n",
       "      <td id=\"T_457a2_row2_col1059\" class=\"data row2 col1059\" >224.440000</td>\n",
       "      <td id=\"T_457a2_row2_col1060\" class=\"data row2 col1060\" >430.920000</td>\n",
       "      <td id=\"T_457a2_row2_col1061\" class=\"data row2 col1061\" >332.980000</td>\n",
       "      <td id=\"T_457a2_row2_col1062\" class=\"data row2 col1062\" >387.730000</td>\n",
       "      <td id=\"T_457a2_row2_col1063\" class=\"data row2 col1063\" >319.210000</td>\n",
       "      <td id=\"T_457a2_row2_col1064\" class=\"data row2 col1064\" >248.690000</td>\n",
       "      <td id=\"T_457a2_row2_col1065\" class=\"data row2 col1065\" >176.790000</td>\n",
       "      <td id=\"T_457a2_row2_col1066\" class=\"data row2 col1066\" >485.580000</td>\n",
       "      <td id=\"T_457a2_row2_col1067\" class=\"data row2 col1067\" >208.660000</td>\n",
       "      <td id=\"T_457a2_row2_col1068\" class=\"data row2 col1068\" >186.770000</td>\n",
       "      <td id=\"T_457a2_row2_col1069\" class=\"data row2 col1069\" >321.740000</td>\n",
       "      <td id=\"T_457a2_row2_col1070\" class=\"data row2 col1070\" >300.510000</td>\n",
       "      <td id=\"T_457a2_row2_col1071\" class=\"data row2 col1071\" >174.850000</td>\n",
       "      <td id=\"T_457a2_row2_col1072\" class=\"data row2 col1072\" >352.270000</td>\n",
       "      <td id=\"T_457a2_row2_col1073\" class=\"data row2 col1073\" >562.690000</td>\n",
       "      <td id=\"T_457a2_row2_col1074\" class=\"data row2 col1074\" >694.170000</td>\n",
       "      <td id=\"T_457a2_row2_col1075\" class=\"data row2 col1075\" >475.520000</td>\n",
       "      <td id=\"T_457a2_row2_col1076\" class=\"data row2 col1076\" >253.860000</td>\n",
       "      <td id=\"T_457a2_row2_col1077\" class=\"data row2 col1077\" >276.630000</td>\n",
       "      <td id=\"T_457a2_row2_col1078\" class=\"data row2 col1078\" >432.400000</td>\n",
       "      <td id=\"T_457a2_row2_col1079\" class=\"data row2 col1079\" >473.570000</td>\n",
       "      <td id=\"T_457a2_row2_col1080\" class=\"data row2 col1080\" >362.800000</td>\n",
       "      <td id=\"T_457a2_row2_col1081\" class=\"data row2 col1081\" >342.620000</td>\n",
       "      <td id=\"T_457a2_row2_col1082\" class=\"data row2 col1082\" >329.400000</td>\n",
       "      <td id=\"T_457a2_row2_col1083\" class=\"data row2 col1083\" >241.270000</td>\n",
       "      <td id=\"T_457a2_row2_col1084\" class=\"data row2 col1084\" >2.217000</td>\n",
       "      <td id=\"T_457a2_row2_col1085\" class=\"data row2 col1085\" >2.440000</td>\n",
       "      <td id=\"T_457a2_row2_col1086\" class=\"data row2 col1086\" >2.177000</td>\n",
       "      <td id=\"T_457a2_row2_col1087\" class=\"data row2 col1087\" >2.267000</td>\n",
       "      <td id=\"T_457a2_row2_col1088\" class=\"data row2 col1088\" >2.339000</td>\n",
       "      <td id=\"T_457a2_row2_col1089\" class=\"data row2 col1089\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row2_col1090\" class=\"data row2 col1090\" >2.690000</td>\n",
       "      <td id=\"T_457a2_row2_col1091\" class=\"data row2 col1091\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row2_col1092\" class=\"data row2 col1092\" >1.630000</td>\n",
       "      <td id=\"T_457a2_row2_col1093\" class=\"data row2 col1093\" >2.426000</td>\n",
       "      <td id=\"T_457a2_row2_col1094\" class=\"data row2 col1094\" >2.243000</td>\n",
       "      <td id=\"T_457a2_row2_col1095\" class=\"data row2 col1095\" >2.806000</td>\n",
       "      <td id=\"T_457a2_row2_col1096\" class=\"data row2 col1096\" >1.903000</td>\n",
       "      <td id=\"T_457a2_row2_col1097\" class=\"data row2 col1097\" >2.804000</td>\n",
       "      <td id=\"T_457a2_row2_col1098\" class=\"data row2 col1098\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row2_col1099\" class=\"data row2 col1099\" >2.618000</td>\n",
       "      <td id=\"T_457a2_row2_col1100\" class=\"data row2 col1100\" >2.397000</td>\n",
       "      <td id=\"T_457a2_row2_col1101\" class=\"data row2 col1101\" >2.674000</td>\n",
       "      <td id=\"T_457a2_row2_col1102\" class=\"data row2 col1102\" >2.365000</td>\n",
       "      <td id=\"T_457a2_row2_col1103\" class=\"data row2 col1103\" >2.201000</td>\n",
       "      <td id=\"T_457a2_row2_col1104\" class=\"data row2 col1104\" >3.283000</td>\n",
       "      <td id=\"T_457a2_row2_col1105\" class=\"data row2 col1105\" >2.646000</td>\n",
       "      <td id=\"T_457a2_row2_col1106\" class=\"data row2 col1106\" >2.619000</td>\n",
       "      <td id=\"T_457a2_row2_col1107\" class=\"data row2 col1107\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row2_col1108\" class=\"data row2 col1108\" >2.808000</td>\n",
       "      <td id=\"T_457a2_row2_col1109\" class=\"data row2 col1109\" >2.964000</td>\n",
       "      <td id=\"T_457a2_row2_col1110\" class=\"data row2 col1110\" >2.675000</td>\n",
       "      <td id=\"T_457a2_row2_col1111\" class=\"data row2 col1111\" >3.397000</td>\n",
       "      <td id=\"T_457a2_row2_col1112\" class=\"data row2 col1112\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row2_col1113\" class=\"data row2 col1113\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row2_col1114\" class=\"data row2 col1114\" >3.203000</td>\n",
       "      <td id=\"T_457a2_row2_col1115\" class=\"data row2 col1115\" >3.385000</td>\n",
       "      <td id=\"T_457a2_row2_col1116\" class=\"data row2 col1116\" >3.184000</td>\n",
       "      <td id=\"T_457a2_row2_col1117\" class=\"data row2 col1117\" >3.550000</td>\n",
       "      <td id=\"T_457a2_row2_col1118\" class=\"data row2 col1118\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row2_col1119\" class=\"data row2 col1119\" >2.457000</td>\n",
       "      <td id=\"T_457a2_row2_col1120\" class=\"data row2 col1120\" >2.458000</td>\n",
       "      <td id=\"T_457a2_row2_col1121\" class=\"data row2 col1121\" >2.800000</td>\n",
       "      <td id=\"T_457a2_row2_col1122\" class=\"data row2 col1122\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row2_col1123\" class=\"data row2 col1123\" >2.723000</td>\n",
       "      <td id=\"T_457a2_row2_col1124\" class=\"data row2 col1124\" >2.691000</td>\n",
       "      <td id=\"T_457a2_row2_col1125\" class=\"data row2 col1125\" >2.322000</td>\n",
       "      <td id=\"T_457a2_row2_col1126\" class=\"data row2 col1126\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row2_col1127\" class=\"data row2 col1127\" >2.559000</td>\n",
       "      <td id=\"T_457a2_row2_col1128\" class=\"data row2 col1128\" >2.791000</td>\n",
       "      <td id=\"T_457a2_row2_col1129\" class=\"data row2 col1129\" >2.651000</td>\n",
       "      <td id=\"T_457a2_row2_col1130\" class=\"data row2 col1130\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row2_col1131\" class=\"data row2 col1131\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row2_col1132\" class=\"data row2 col1132\" >2.970000</td>\n",
       "      <td id=\"T_457a2_row2_col1133\" class=\"data row2 col1133\" >2.440000</td>\n",
       "      <td id=\"T_457a2_row2_col1134\" class=\"data row2 col1134\" >2.520000</td>\n",
       "      <td id=\"T_457a2_row2_col1135\" class=\"data row2 col1135\" >2.137000</td>\n",
       "      <td id=\"T_457a2_row2_col1136\" class=\"data row2 col1136\" >2.006000</td>\n",
       "      <td id=\"T_457a2_row2_col1137\" class=\"data row2 col1137\" >2.938000</td>\n",
       "      <td id=\"T_457a2_row2_col1138\" class=\"data row2 col1138\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row2_col1139\" class=\"data row2 col1139\" >3.637000</td>\n",
       "      <td id=\"T_457a2_row2_col1140\" class=\"data row2 col1140\" >3.269000</td>\n",
       "      <td id=\"T_457a2_row2_col1141\" class=\"data row2 col1141\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row2_col1142\" class=\"data row2 col1142\" >3.100000</td>\n",
       "      <td id=\"T_457a2_row2_col1143\" class=\"data row2 col1143\" >2.692000</td>\n",
       "      <td id=\"T_457a2_row2_col1144\" class=\"data row2 col1144\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row2_col1145\" class=\"data row2 col1145\" >2.432000</td>\n",
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       "      <td id=\"T_457a2_row2_col1169\" class=\"data row2 col1169\" >2.561000</td>\n",
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       "      <td id=\"T_457a2_row2_col1172\" class=\"data row2 col1172\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row2_col1173\" class=\"data row2 col1173\" >2.344000</td>\n",
       "      <td id=\"T_457a2_row2_col1174\" class=\"data row2 col1174\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row2_col1175\" class=\"data row2 col1175\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row2_col1176\" class=\"data row2 col1176\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row2_col1177\" class=\"data row2 col1177\" >3.107000</td>\n",
       "      <td id=\"T_457a2_row2_col1178\" class=\"data row2 col1178\" >2.488000</td>\n",
       "      <td id=\"T_457a2_row2_col1179\" class=\"data row2 col1179\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row2_col1180\" class=\"data row2 col1180\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row2_col1181\" class=\"data row2 col1181\" >3.000000</td>\n",
       "      <td id=\"T_457a2_row2_col1182\" class=\"data row2 col1182\" >3.275000</td>\n",
       "      <td id=\"T_457a2_row2_col1183\" class=\"data row2 col1183\" >3.010000</td>\n",
       "      <td id=\"T_457a2_row2_col1184\" class=\"data row2 col1184\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row2_col1185\" class=\"data row2 col1185\" >3.115000</td>\n",
       "      <td id=\"T_457a2_row2_col1186\" class=\"data row2 col1186\" >2.424000</td>\n",
       "      <td id=\"T_457a2_row2_col1187\" class=\"data row2 col1187\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row2_col1188\" class=\"data row2 col1188\" >2.952000</td>\n",
       "      <td id=\"T_457a2_row2_col1189\" class=\"data row2 col1189\" >4.036000</td>\n",
       "      <td id=\"T_457a2_row2_col1190\" class=\"data row2 col1190\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row2_col1191\" class=\"data row2 col1191\" >2.510000</td>\n",
       "      <td id=\"T_457a2_row2_col1192\" class=\"data row2 col1192\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row2_col1193\" class=\"data row2 col1193\" >2.965000</td>\n",
       "      <td id=\"T_457a2_row2_col1194\" class=\"data row2 col1194\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row2_col1195\" class=\"data row2 col1195\" >3.793000</td>\n",
       "      <td id=\"T_457a2_row2_col1196\" class=\"data row2 col1196\" >3.345000</td>\n",
       "      <td id=\"T_457a2_row2_col1197\" class=\"data row2 col1197\" >2.619000</td>\n",
       "      <td id=\"T_457a2_row2_col1198\" class=\"data row2 col1198\" >3.132000</td>\n",
       "      <td id=\"T_457a2_row2_col1199\" class=\"data row2 col1199\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row2_col1200\" class=\"data row2 col1200\" >2.498000</td>\n",
       "      <td id=\"T_457a2_row2_col1201\" class=\"data row2 col1201\" >3.686000</td>\n",
       "      <td id=\"T_457a2_row2_col1202\" class=\"data row2 col1202\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row2_col1203\" class=\"data row2 col1203\" >2.726000</td>\n",
       "      <td id=\"T_457a2_row2_col1204\" class=\"data row2 col1204\" >1.950000</td>\n",
       "      <td id=\"T_457a2_row2_col1205\" class=\"data row2 col1205\" >3.250000</td>\n",
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       "      <td id=\"T_457a2_row2_col1212\" class=\"data row2 col1212\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row2_col1213\" class=\"data row2 col1213\" >3.000000</td>\n",
       "      <td id=\"T_457a2_row2_col1214\" class=\"data row2 col1214\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row2_col1215\" class=\"data row2 col1215\" >3.321000</td>\n",
       "      <td id=\"T_457a2_row2_col1216\" class=\"data row2 col1216\" >3.647000</td>\n",
       "      <td id=\"T_457a2_row2_col1217\" class=\"data row2 col1217\" >2.388000</td>\n",
       "      <td id=\"T_457a2_row2_col1218\" class=\"data row2 col1218\" >2.973000</td>\n",
       "      <td id=\"T_457a2_row2_col1219\" class=\"data row2 col1219\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row2_col1220\" class=\"data row2 col1220\" >3.311000</td>\n",
       "      <td id=\"T_457a2_row2_col1221\" class=\"data row2 col1221\" >2.795000</td>\n",
       "      <td id=\"T_457a2_row2_col1222\" class=\"data row2 col1222\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row2_col1223\" class=\"data row2 col1223\" >3.321000</td>\n",
       "      <td id=\"T_457a2_row2_col1224\" class=\"data row2 col1224\" >2.689000</td>\n",
       "      <td id=\"T_457a2_row2_col1225\" class=\"data row2 col1225\" >2.424000</td>\n",
       "      <td id=\"T_457a2_row2_col1226\" class=\"data row2 col1226\" >2.957000</td>\n",
       "      <td id=\"T_457a2_row2_col1227\" class=\"data row2 col1227\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row2_col1228\" class=\"data row2 col1228\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row2_col1229\" class=\"data row2 col1229\" >2.744000</td>\n",
       "      <td id=\"T_457a2_row2_col1230\" class=\"data row2 col1230\" >3.184000</td>\n",
       "      <td id=\"T_457a2_row2_col1231\" class=\"data row2 col1231\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row2_col1232\" class=\"data row2 col1232\" >2.946000</td>\n",
       "      <td id=\"T_457a2_row2_col1233\" class=\"data row2 col1233\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row2_col1234\" class=\"data row2 col1234\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row2_col1235\" class=\"data row2 col1235\" >2.482000</td>\n",
       "      <td id=\"T_457a2_row2_col1236\" class=\"data row2 col1236\" >3.264000</td>\n",
       "      <td id=\"T_457a2_row2_col1237\" class=\"data row2 col1237\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row2_col1238\" class=\"data row2 col1238\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row2_col1239\" class=\"data row2 col1239\" >2.698000</td>\n",
       "      <td id=\"T_457a2_row2_col1240\" class=\"data row2 col1240\" >2.526000</td>\n",
       "      <td id=\"T_457a2_row2_col1241\" class=\"data row2 col1241\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row2_col1242\" class=\"data row2 col1242\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row2_col1243\" class=\"data row2 col1243\" >2.871000</td>\n",
       "      <td id=\"T_457a2_row2_col1244\" class=\"data row2 col1244\" >2.684000</td>\n",
       "      <td id=\"T_457a2_row2_col1245\" class=\"data row2 col1245\" >3.151000</td>\n",
       "      <td id=\"T_457a2_row2_col1246\" class=\"data row2 col1246\" >2.861000</td>\n",
       "      <td id=\"T_457a2_row2_col1247\" class=\"data row2 col1247\" >3.585000</td>\n",
       "      <td id=\"T_457a2_row2_col1248\" class=\"data row2 col1248\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row2_col1249\" class=\"data row2 col1249\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row2_col1250\" class=\"data row2 col1250\" >3.364000</td>\n",
       "      <td id=\"T_457a2_row2_col1251\" class=\"data row2 col1251\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row2_col1252\" class=\"data row2 col1252\" >2.472000</td>\n",
       "      <td id=\"T_457a2_row2_col1253\" class=\"data row2 col1253\" >2.309000</td>\n",
       "      <td id=\"T_457a2_row2_col1254\" class=\"data row2 col1254\" >2.304000</td>\n",
       "      <td id=\"T_457a2_row2_col1255\" class=\"data row2 col1255\" >3.075000</td>\n",
       "      <td id=\"T_457a2_row2_col1256\" class=\"data row2 col1256\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row2_col1257\" class=\"data row2 col1257\" >3.026000</td>\n",
       "      <td id=\"T_457a2_row2_col1258\" class=\"data row2 col1258\" >3.463000</td>\n",
       "      <td id=\"T_457a2_row2_col1259\" class=\"data row2 col1259\" >2.658000</td>\n",
       "      <td id=\"T_457a2_row2_col1260\" class=\"data row2 col1260\" >3.489000</td>\n",
       "      <td id=\"T_457a2_row2_col1261\" class=\"data row2 col1261\" >2.896000</td>\n",
       "      <td id=\"T_457a2_row2_col1262\" class=\"data row2 col1262\" >2.541000</td>\n",
       "      <td id=\"T_457a2_row2_col1263\" class=\"data row2 col1263\" >3.322000</td>\n",
       "      <td id=\"T_457a2_row2_col1264\" class=\"data row2 col1264\" >2.212000</td>\n",
       "      <td id=\"T_457a2_row2_col1265\" class=\"data row2 col1265\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row2_col1266\" class=\"data row2 col1266\" >2.161000</td>\n",
       "      <td id=\"T_457a2_row2_col1267\" class=\"data row2 col1267\" >2.296000</td>\n",
       "      <td id=\"T_457a2_row2_col1268\" class=\"data row2 col1268\" >2.377000</td>\n",
       "      <td id=\"T_457a2_row2_col1269\" class=\"data row2 col1269\" >2.483000</td>\n",
       "      <td id=\"T_457a2_row2_col1270\" class=\"data row2 col1270\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row2_col1271\" class=\"data row2 col1271\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row2_col1272\" class=\"data row2 col1272\" >1.615000</td>\n",
       "      <td id=\"T_457a2_row2_col1273\" class=\"data row2 col1273\" >2.674000</td>\n",
       "      <td id=\"T_457a2_row2_col1274\" class=\"data row2 col1274\" >2.828000</td>\n",
       "      <td id=\"T_457a2_row2_col1275\" class=\"data row2 col1275\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row2_col1276\" class=\"data row2 col1276\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row2_col1277\" class=\"data row2 col1277\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row2_col1278\" class=\"data row2 col1278\" >2.475000</td>\n",
       "      <td id=\"T_457a2_row2_col1279\" class=\"data row2 col1279\" >2.254000</td>\n",
       "      <td id=\"T_457a2_row2_col1280\" class=\"data row2 col1280\" >2.212000</td>\n",
       "      <td id=\"T_457a2_row2_col1281\" class=\"data row2 col1281\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row2_col1282\" class=\"data row2 col1282\" >2.044000</td>\n",
       "      <td id=\"T_457a2_row2_col1283\" class=\"data row2 col1283\" >2.494000</td>\n",
       "      <td id=\"T_457a2_row2_col1284\" class=\"data row2 col1284\" >3.348000</td>\n",
       "      <td id=\"T_457a2_row2_col1285\" class=\"data row2 col1285\" >3.341000</td>\n",
       "      <td id=\"T_457a2_row2_col1286\" class=\"data row2 col1286\" >2.774000</td>\n",
       "      <td id=\"T_457a2_row2_col1287\" class=\"data row2 col1287\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row2_col1288\" class=\"data row2 col1288\" >3.420000</td>\n",
       "      <td id=\"T_457a2_row2_col1289\" class=\"data row2 col1289\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row2_col1290\" class=\"data row2 col1290\" >2.806000</td>\n",
       "      <td id=\"T_457a2_row2_col1291\" class=\"data row2 col1291\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row2_col1292\" class=\"data row2 col1292\" >2.670000</td>\n",
       "      <td id=\"T_457a2_row2_col1293\" class=\"data row2 col1293\" >2.484000</td>\n",
       "      <td id=\"T_457a2_row2_col1294\" class=\"data row2 col1294\" >3.035000</td>\n",
       "      <td id=\"T_457a2_row2_col1295\" class=\"data row2 col1295\" >3.246000</td>\n",
       "      <td id=\"T_457a2_row2_col1296\" class=\"data row2 col1296\" >3.372000</td>\n",
       "      <td id=\"T_457a2_row2_col1297\" class=\"data row2 col1297\" >3.504000</td>\n",
       "      <td id=\"T_457a2_row2_col1298\" class=\"data row2 col1298\" >2.770000</td>\n",
       "      <td id=\"T_457a2_row2_col1299\" class=\"data row2 col1299\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row2_col1300\" class=\"data row2 col1300\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row2_col1301\" class=\"data row2 col1301\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row2_col1302\" class=\"data row2 col1302\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row2_col1303\" class=\"data row2 col1303\" >2.650000</td>\n",
       "      <td id=\"T_457a2_row2_col1304\" class=\"data row2 col1304\" >2.646000</td>\n",
       "      <td id=\"T_457a2_row2_col1305\" class=\"data row2 col1305\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row2_col1306\" class=\"data row2 col1306\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row2_col1307\" class=\"data row2 col1307\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row2_col1308\" class=\"data row2 col1308\" >2.889000</td>\n",
       "      <td id=\"T_457a2_row2_col1309\" class=\"data row2 col1309\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row2_col1310\" class=\"data row2 col1310\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row2_col1311\" class=\"data row2 col1311\" >2.030000</td>\n",
       "      <td id=\"T_457a2_row2_col1312\" class=\"data row2 col1312\" >2.317000</td>\n",
       "      <td id=\"T_457a2_row2_col1313\" class=\"data row2 col1313\" >1.952000</td>\n",
       "      <td id=\"T_457a2_row2_col1314\" class=\"data row2 col1314\" >2.548000</td>\n",
       "      <td id=\"T_457a2_row2_col1315\" class=\"data row2 col1315\" >2.048000</td>\n",
       "      <td id=\"T_457a2_row2_col1316\" class=\"data row2 col1316\" >1.865000</td>\n",
       "      <td id=\"T_457a2_row2_col1317\" class=\"data row2 col1317\" >2.775000</td>\n",
       "      <td id=\"T_457a2_row2_col1318\" class=\"data row2 col1318\" >2.702000</td>\n",
       "      <td id=\"T_457a2_row2_col1319\" class=\"data row2 col1319\" >3.228000</td>\n",
       "      <td id=\"T_457a2_row2_col1320\" class=\"data row2 col1320\" >3.056000</td>\n",
       "      <td id=\"T_457a2_row2_col1321\" class=\"data row2 col1321\" >2.219000</td>\n",
       "      <td id=\"T_457a2_row2_col1322\" class=\"data row2 col1322\" >3.008000</td>\n",
       "      <td id=\"T_457a2_row2_col1323\" class=\"data row2 col1323\" >2.732000</td>\n",
       "      <td id=\"T_457a2_row2_col1324\" class=\"data row2 col1324\" >2.822000</td>\n",
       "      <td id=\"T_457a2_row2_col1325\" class=\"data row2 col1325\" >2.804000</td>\n",
       "      <td id=\"T_457a2_row2_col1326\" class=\"data row2 col1326\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row2_col1327\" class=\"data row2 col1327\" >2.468000</td>\n",
       "      <td id=\"T_457a2_row2_col1328\" class=\"data row2 col1328\" >3.011000</td>\n",
       "      <td id=\"T_457a2_row2_col1329\" class=\"data row2 col1329\" >3.289000</td>\n",
       "      <td id=\"T_457a2_row2_col1330\" class=\"data row2 col1330\" >2.830000</td>\n",
       "      <td id=\"T_457a2_row2_col1331\" class=\"data row2 col1331\" >2.120000</td>\n",
       "      <td id=\"T_457a2_row2_col1332\" class=\"data row2 col1332\" >2.804000</td>\n",
       "      <td id=\"T_457a2_row2_col1333\" class=\"data row2 col1333\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row2_col1334\" class=\"data row2 col1334\" >2.475000</td>\n",
       "      <td id=\"T_457a2_row2_col1335\" class=\"data row2 col1335\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row2_col1336\" class=\"data row2 col1336\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row2_col1337\" class=\"data row2 col1337\" >2.815000</td>\n",
       "      <td id=\"T_457a2_row2_col1338\" class=\"data row2 col1338\" >2.745000</td>\n",
       "      <td id=\"T_457a2_row2_col1339\" class=\"data row2 col1339\" >3.096000</td>\n",
       "      <td id=\"T_457a2_row2_col1340\" class=\"data row2 col1340\" >2.853000</td>\n",
       "      <td id=\"T_457a2_row2_col1341\" class=\"data row2 col1341\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row2_col1342\" class=\"data row2 col1342\" >2.613000</td>\n",
       "      <td id=\"T_457a2_row2_col1343\" class=\"data row2 col1343\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row2_col1344\" class=\"data row2 col1344\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row2_col1345\" class=\"data row2 col1345\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row2_col1346\" class=\"data row2 col1346\" >2.623000</td>\n",
       "      <td id=\"T_457a2_row2_col1347\" class=\"data row2 col1347\" >2.350000</td>\n",
       "      <td id=\"T_457a2_row2_col1348\" class=\"data row2 col1348\" >2.994000</td>\n",
       "      <td id=\"T_457a2_row2_col1349\" class=\"data row2 col1349\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row2_col1350\" class=\"data row2 col1350\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row2_col1351\" class=\"data row2 col1351\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row2_col1352\" class=\"data row2 col1352\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row2_col1353\" class=\"data row2 col1353\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row2_col1354\" class=\"data row2 col1354\" >2.568000</td>\n",
       "      <td id=\"T_457a2_row2_col1355\" class=\"data row2 col1355\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row2_col1356\" class=\"data row2 col1356\" >2.056000</td>\n",
       "      <td id=\"T_457a2_row2_col1357\" class=\"data row2 col1357\" >3.192000</td>\n",
       "      <td id=\"T_457a2_row2_col1358\" class=\"data row2 col1358\" >2.228000</td>\n",
       "      <td id=\"T_457a2_row2_col1359\" class=\"data row2 col1359\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row2_col1360\" class=\"data row2 col1360\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row2_col1361\" class=\"data row2 col1361\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row2_col1362\" class=\"data row2 col1362\" >3.161000</td>\n",
       "      <td id=\"T_457a2_row2_col1363\" class=\"data row2 col1363\" >3.136000</td>\n",
       "      <td id=\"T_457a2_row2_col1364\" class=\"data row2 col1364\" >3.083000</td>\n",
       "      <td id=\"T_457a2_row2_col1365\" class=\"data row2 col1365\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row2_col1366\" class=\"data row2 col1366\" >2.813000</td>\n",
       "      <td id=\"T_457a2_row2_col1367\" class=\"data row2 col1367\" >2.787000</td>\n",
       "      <td id=\"T_457a2_row2_col1368\" class=\"data row2 col1368\" >2.757000</td>\n",
       "      <td id=\"T_457a2_row2_col1369\" class=\"data row2 col1369\" >4.135000</td>\n",
       "      <td id=\"T_457a2_row2_col1370\" class=\"data row2 col1370\" >2.994000</td>\n",
       "      <td id=\"T_457a2_row2_col1371\" class=\"data row2 col1371\" >2.735000</td>\n",
       "      <td id=\"T_457a2_row2_col1372\" class=\"data row2 col1372\" >3.404000</td>\n",
       "      <td id=\"T_457a2_row2_col1373\" class=\"data row2 col1373\" >2.773000</td>\n",
       "      <td id=\"T_457a2_row2_col1374\" class=\"data row2 col1374\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row2_col1375\" class=\"data row2 col1375\" >3.665000</td>\n",
       "      <td id=\"T_457a2_row2_col1376\" class=\"data row2 col1376\" >3.290000</td>\n",
       "      <td id=\"T_457a2_row2_col1377\" class=\"data row2 col1377\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row2_col1378\" class=\"data row2 col1378\" >2.884000</td>\n",
       "      <td id=\"T_457a2_row2_col1379\" class=\"data row2 col1379\" >2.866000</td>\n",
       "      <td id=\"T_457a2_row2_col1380\" class=\"data row2 col1380\" >2.336000</td>\n",
       "      <td id=\"T_457a2_row2_col1381\" class=\"data row2 col1381\" >3.138000</td>\n",
       "      <td id=\"T_457a2_row2_col1382\" class=\"data row2 col1382\" >1.982000</td>\n",
       "      <td id=\"T_457a2_row2_col1383\" class=\"data row2 col1383\" >2.468000</td>\n",
       "      <td id=\"T_457a2_row2_col1384\" class=\"data row2 col1384\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row2_col1385\" class=\"data row2 col1385\" >3.266000</td>\n",
       "      <td id=\"T_457a2_row2_col1386\" class=\"data row2 col1386\" >3.409000</td>\n",
       "      <td id=\"T_457a2_row2_col1387\" class=\"data row2 col1387\" >2.762000</td>\n",
       "      <td id=\"T_457a2_row2_col1388\" class=\"data row2 col1388\" >3.256000</td>\n",
       "      <td id=\"T_457a2_row2_col1389\" class=\"data row2 col1389\" >3.213000</td>\n",
       "      <td id=\"T_457a2_row2_col1390\" class=\"data row2 col1390\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row2_col1391\" class=\"data row2 col1391\" >3.172000</td>\n",
       "      <td id=\"T_457a2_row2_col1392\" class=\"data row2 col1392\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row2_col1393\" class=\"data row2 col1393\" >3.345000</td>\n",
       "      <td id=\"T_457a2_row2_col1394\" class=\"data row2 col1394\" >3.412000</td>\n",
       "      <td id=\"T_457a2_row2_col1395\" class=\"data row2 col1395\" >3.462000</td>\n",
       "      <td id=\"T_457a2_row2_col1396\" class=\"data row2 col1396\" >3.397000</td>\n",
       "      <td id=\"T_457a2_row2_col1397\" class=\"data row2 col1397\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row2_col1398\" class=\"data row2 col1398\" >2.878000</td>\n",
       "      <td id=\"T_457a2_row2_col1399\" class=\"data row2 col1399\" >2.693000</td>\n",
       "      <td id=\"T_457a2_row2_col1400\" class=\"data row2 col1400\" >3.214000</td>\n",
       "      <td id=\"T_457a2_row2_col1401\" class=\"data row2 col1401\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row2_col1402\" class=\"data row2 col1402\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row2_col1403\" class=\"data row2 col1403\" >3.013000</td>\n",
       "      <td id=\"T_457a2_row2_col1404\" class=\"data row2 col1404\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row2_col1405\" class=\"data row2 col1405\" >2.528000</td>\n",
       "      <td id=\"T_457a2_row2_col1406\" class=\"data row2 col1406\" >2.896000</td>\n",
       "      <td id=\"T_457a2_row2_col1407\" class=\"data row2 col1407\" >2.227000</td>\n",
       "      <td id=\"T_457a2_row2_col1408\" class=\"data row2 col1408\" >2.455000</td>\n",
       "      <td id=\"T_457a2_row2_col1409\" class=\"data row2 col1409\" >2.250000</td>\n",
       "      <td id=\"T_457a2_row2_col1410\" class=\"data row2 col1410\" >3.382000</td>\n",
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       "      <td id=\"T_457a2_row3_col1005\" class=\"data row3 col1005\" >234.840000</td>\n",
       "      <td id=\"T_457a2_row3_col1006\" class=\"data row3 col1006\" >130.490000</td>\n",
       "      <td id=\"T_457a2_row3_col1007\" class=\"data row3 col1007\" >406.400000</td>\n",
       "      <td id=\"T_457a2_row3_col1008\" class=\"data row3 col1008\" >379.190000</td>\n",
       "      <td id=\"T_457a2_row3_col1009\" class=\"data row3 col1009\" >466.560000</td>\n",
       "      <td id=\"T_457a2_row3_col1010\" class=\"data row3 col1010\" >332.540000</td>\n",
       "      <td id=\"T_457a2_row3_col1011\" class=\"data row3 col1011\" >368.010000</td>\n",
       "      <td id=\"T_457a2_row3_col1012\" class=\"data row3 col1012\" >313.120000</td>\n",
       "      <td id=\"T_457a2_row3_col1013\" class=\"data row3 col1013\" >330.960000</td>\n",
       "      <td id=\"T_457a2_row3_col1014\" class=\"data row3 col1014\" >481.640000</td>\n",
       "      <td id=\"T_457a2_row3_col1015\" class=\"data row3 col1015\" >184.320000</td>\n",
       "      <td id=\"T_457a2_row3_col1016\" class=\"data row3 col1016\" >207.010000</td>\n",
       "      <td id=\"T_457a2_row3_col1017\" class=\"data row3 col1017\" >183.470000</td>\n",
       "      <td id=\"T_457a2_row3_col1018\" class=\"data row3 col1018\" >171.620000</td>\n",
       "      <td id=\"T_457a2_row3_col1019\" class=\"data row3 col1019\" >476.450000</td>\n",
       "      <td id=\"T_457a2_row3_col1020\" class=\"data row3 col1020\" >818.870000</td>\n",
       "      <td id=\"T_457a2_row3_col1021\" class=\"data row3 col1021\" >206.380000</td>\n",
       "      <td id=\"T_457a2_row3_col1022\" class=\"data row3 col1022\" >247.520000</td>\n",
       "      <td id=\"T_457a2_row3_col1023\" class=\"data row3 col1023\" >389.620000</td>\n",
       "      <td id=\"T_457a2_row3_col1024\" class=\"data row3 col1024\" >390.270000</td>\n",
       "      <td id=\"T_457a2_row3_col1025\" class=\"data row3 col1025\" >694.520000</td>\n",
       "      <td id=\"T_457a2_row3_col1026\" class=\"data row3 col1026\" >228.790000</td>\n",
       "      <td id=\"T_457a2_row3_col1027\" class=\"data row3 col1027\" >328.650000</td>\n",
       "      <td id=\"T_457a2_row3_col1028\" class=\"data row3 col1028\" >579.400000</td>\n",
       "      <td id=\"T_457a2_row3_col1029\" class=\"data row3 col1029\" >239.270000</td>\n",
       "      <td id=\"T_457a2_row3_col1030\" class=\"data row3 col1030\" >289.730000</td>\n",
       "      <td id=\"T_457a2_row3_col1031\" class=\"data row3 col1031\" >667.210000</td>\n",
       "      <td id=\"T_457a2_row3_col1032\" class=\"data row3 col1032\" >658.270000</td>\n",
       "      <td id=\"T_457a2_row3_col1033\" class=\"data row3 col1033\" >552.420000</td>\n",
       "      <td id=\"T_457a2_row3_col1034\" class=\"data row3 col1034\" >1243.000000</td>\n",
       "      <td id=\"T_457a2_row3_col1035\" class=\"data row3 col1035\" >571.770000</td>\n",
       "      <td id=\"T_457a2_row3_col1036\" class=\"data row3 col1036\" >945.010000</td>\n",
       "      <td id=\"T_457a2_row3_col1037\" class=\"data row3 col1037\" >1162.600000</td>\n",
       "      <td id=\"T_457a2_row3_col1038\" class=\"data row3 col1038\" >1045.000000</td>\n",
       "      <td id=\"T_457a2_row3_col1039\" class=\"data row3 col1039\" >591.380000</td>\n",
       "      <td id=\"T_457a2_row3_col1040\" class=\"data row3 col1040\" >648.420000</td>\n",
       "      <td id=\"T_457a2_row3_col1041\" class=\"data row3 col1041\" >547.080000</td>\n",
       "      <td id=\"T_457a2_row3_col1042\" class=\"data row3 col1042\" >838.890000</td>\n",
       "      <td id=\"T_457a2_row3_col1043\" class=\"data row3 col1043\" >696.520000</td>\n",
       "      <td id=\"T_457a2_row3_col1044\" class=\"data row3 col1044\" >441.420000</td>\n",
       "      <td id=\"T_457a2_row3_col1045\" class=\"data row3 col1045\" >530.370000</td>\n",
       "      <td id=\"T_457a2_row3_col1046\" class=\"data row3 col1046\" >648.980000</td>\n",
       "      <td id=\"T_457a2_row3_col1047\" class=\"data row3 col1047\" >565.440000</td>\n",
       "      <td id=\"T_457a2_row3_col1048\" class=\"data row3 col1048\" >634.180000</td>\n",
       "      <td id=\"T_457a2_row3_col1049\" class=\"data row3 col1049\" >382.950000</td>\n",
       "      <td id=\"T_457a2_row3_col1050\" class=\"data row3 col1050\" >443.600000</td>\n",
       "      <td id=\"T_457a2_row3_col1051\" class=\"data row3 col1051\" >985.090000</td>\n",
       "      <td id=\"T_457a2_row3_col1052\" class=\"data row3 col1052\" >1289.200000</td>\n",
       "      <td id=\"T_457a2_row3_col1053\" class=\"data row3 col1053\" >1358.600000</td>\n",
       "      <td id=\"T_457a2_row3_col1054\" class=\"data row3 col1054\" >846.820000</td>\n",
       "      <td id=\"T_457a2_row3_col1055\" class=\"data row3 col1055\" >198.910000</td>\n",
       "      <td id=\"T_457a2_row3_col1056\" class=\"data row3 col1056\" >408.540000</td>\n",
       "      <td id=\"T_457a2_row3_col1057\" class=\"data row3 col1057\" >305.140000</td>\n",
       "      <td id=\"T_457a2_row3_col1058\" class=\"data row3 col1058\" >229.630000</td>\n",
       "      <td id=\"T_457a2_row3_col1059\" class=\"data row3 col1059\" >177.470000</td>\n",
       "      <td id=\"T_457a2_row3_col1060\" class=\"data row3 col1060\" >427.280000</td>\n",
       "      <td id=\"T_457a2_row3_col1061\" class=\"data row3 col1061\" >326.520000</td>\n",
       "      <td id=\"T_457a2_row3_col1062\" class=\"data row3 col1062\" >311.320000</td>\n",
       "      <td id=\"T_457a2_row3_col1063\" class=\"data row3 col1063\" >329.980000</td>\n",
       "      <td id=\"T_457a2_row3_col1064\" class=\"data row3 col1064\" >269.750000</td>\n",
       "      <td id=\"T_457a2_row3_col1065\" class=\"data row3 col1065\" >183.110000</td>\n",
       "      <td id=\"T_457a2_row3_col1066\" class=\"data row3 col1066\" >443.670000</td>\n",
       "      <td id=\"T_457a2_row3_col1067\" class=\"data row3 col1067\" >203.670000</td>\n",
       "      <td id=\"T_457a2_row3_col1068\" class=\"data row3 col1068\" >229.300000</td>\n",
       "      <td id=\"T_457a2_row3_col1069\" class=\"data row3 col1069\" >330.470000</td>\n",
       "      <td id=\"T_457a2_row3_col1070\" class=\"data row3 col1070\" >364.710000</td>\n",
       "      <td id=\"T_457a2_row3_col1071\" class=\"data row3 col1071\" >165.180000</td>\n",
       "      <td id=\"T_457a2_row3_col1072\" class=\"data row3 col1072\" >586.820000</td>\n",
       "      <td id=\"T_457a2_row3_col1073\" class=\"data row3 col1073\" >747.240000</td>\n",
       "      <td id=\"T_457a2_row3_col1074\" class=\"data row3 col1074\" >639.610000</td>\n",
       "      <td id=\"T_457a2_row3_col1075\" class=\"data row3 col1075\" >563.560000</td>\n",
       "      <td id=\"T_457a2_row3_col1076\" class=\"data row3 col1076\" >258.120000</td>\n",
       "      <td id=\"T_457a2_row3_col1077\" class=\"data row3 col1077\" >321.120000</td>\n",
       "      <td id=\"T_457a2_row3_col1078\" class=\"data row3 col1078\" >416.400000</td>\n",
       "      <td id=\"T_457a2_row3_col1079\" class=\"data row3 col1079\" >536.650000</td>\n",
       "      <td id=\"T_457a2_row3_col1080\" class=\"data row3 col1080\" >541.490000</td>\n",
       "      <td id=\"T_457a2_row3_col1081\" class=\"data row3 col1081\" >369.350000</td>\n",
       "      <td id=\"T_457a2_row3_col1082\" class=\"data row3 col1082\" >328.960000</td>\n",
       "      <td id=\"T_457a2_row3_col1083\" class=\"data row3 col1083\" >210.440000</td>\n",
       "      <td id=\"T_457a2_row3_col1084\" class=\"data row3 col1084\" >1.854000</td>\n",
       "      <td id=\"T_457a2_row3_col1085\" class=\"data row3 col1085\" >2.378000</td>\n",
       "      <td id=\"T_457a2_row3_col1086\" class=\"data row3 col1086\" >2.288000</td>\n",
       "      <td id=\"T_457a2_row3_col1087\" class=\"data row3 col1087\" >2.090000</td>\n",
       "      <td id=\"T_457a2_row3_col1088\" class=\"data row3 col1088\" >2.166000</td>\n",
       "      <td id=\"T_457a2_row3_col1089\" class=\"data row3 col1089\" >2.284000</td>\n",
       "      <td id=\"T_457a2_row3_col1090\" class=\"data row3 col1090\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row3_col1091\" class=\"data row3 col1091\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row3_col1092\" class=\"data row3 col1092\" >1.531000</td>\n",
       "      <td id=\"T_457a2_row3_col1093\" class=\"data row3 col1093\" >2.805000</td>\n",
       "      <td id=\"T_457a2_row3_col1094\" class=\"data row3 col1094\" >2.999000</td>\n",
       "      <td id=\"T_457a2_row3_col1095\" class=\"data row3 col1095\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row3_col1096\" class=\"data row3 col1096\" >2.150000</td>\n",
       "      <td id=\"T_457a2_row3_col1097\" class=\"data row3 col1097\" >2.980000</td>\n",
       "      <td id=\"T_457a2_row3_col1098\" class=\"data row3 col1098\" >2.326000</td>\n",
       "      <td id=\"T_457a2_row3_col1099\" class=\"data row3 col1099\" >1.995000</td>\n",
       "      <td id=\"T_457a2_row3_col1100\" class=\"data row3 col1100\" >2.455000</td>\n",
       "      <td id=\"T_457a2_row3_col1101\" class=\"data row3 col1101\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row3_col1102\" class=\"data row3 col1102\" >2.307000</td>\n",
       "      <td id=\"T_457a2_row3_col1103\" class=\"data row3 col1103\" >2.606000</td>\n",
       "      <td id=\"T_457a2_row3_col1104\" class=\"data row3 col1104\" >2.917000</td>\n",
       "      <td id=\"T_457a2_row3_col1105\" class=\"data row3 col1105\" >2.708000</td>\n",
       "      <td id=\"T_457a2_row3_col1106\" class=\"data row3 col1106\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row3_col1107\" class=\"data row3 col1107\" >2.310000</td>\n",
       "      <td id=\"T_457a2_row3_col1108\" class=\"data row3 col1108\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row3_col1109\" class=\"data row3 col1109\" >3.117000</td>\n",
       "      <td id=\"T_457a2_row3_col1110\" class=\"data row3 col1110\" >2.720000</td>\n",
       "      <td id=\"T_457a2_row3_col1111\" class=\"data row3 col1111\" >2.612000</td>\n",
       "      <td id=\"T_457a2_row3_col1112\" class=\"data row3 col1112\" >2.271000</td>\n",
       "      <td id=\"T_457a2_row3_col1113\" class=\"data row3 col1113\" >2.651000</td>\n",
       "      <td id=\"T_457a2_row3_col1114\" class=\"data row3 col1114\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row3_col1115\" class=\"data row3 col1115\" >3.570000</td>\n",
       "      <td id=\"T_457a2_row3_col1116\" class=\"data row3 col1116\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row3_col1117\" class=\"data row3 col1117\" >3.671000</td>\n",
       "      <td id=\"T_457a2_row3_col1118\" class=\"data row3 col1118\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row3_col1119\" class=\"data row3 col1119\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row3_col1120\" class=\"data row3 col1120\" >2.642000</td>\n",
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       "      <td id=\"T_457a2_row3_col1122\" class=\"data row3 col1122\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row3_col1123\" class=\"data row3 col1123\" >3.006000</td>\n",
       "      <td id=\"T_457a2_row3_col1124\" class=\"data row3 col1124\" >2.415000</td>\n",
       "      <td id=\"T_457a2_row3_col1125\" class=\"data row3 col1125\" >2.640000</td>\n",
       "      <td id=\"T_457a2_row3_col1126\" class=\"data row3 col1126\" >3.338000</td>\n",
       "      <td id=\"T_457a2_row3_col1127\" class=\"data row3 col1127\" >3.187000</td>\n",
       "      <td id=\"T_457a2_row3_col1128\" class=\"data row3 col1128\" >2.778000</td>\n",
       "      <td id=\"T_457a2_row3_col1129\" class=\"data row3 col1129\" >2.737000</td>\n",
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       "      <td id=\"T_457a2_row3_col1162\" class=\"data row3 col1162\" >2.787000</td>\n",
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       "      <td id=\"T_457a2_row3_col1166\" class=\"data row3 col1166\" >2.906000</td>\n",
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       "      <td id=\"T_457a2_row3_col1168\" class=\"data row3 col1168\" >2.691000</td>\n",
       "      <td id=\"T_457a2_row3_col1169\" class=\"data row3 col1169\" >2.758000</td>\n",
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       "      <td id=\"T_457a2_row3_col1172\" class=\"data row3 col1172\" >2.836000</td>\n",
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       "      <td id=\"T_457a2_row3_col1201\" class=\"data row3 col1201\" >3.326000</td>\n",
       "      <td id=\"T_457a2_row3_col1202\" class=\"data row3 col1202\" >2.103000</td>\n",
       "      <td id=\"T_457a2_row3_col1203\" class=\"data row3 col1203\" >2.417000</td>\n",
       "      <td id=\"T_457a2_row3_col1204\" class=\"data row3 col1204\" >1.905000</td>\n",
       "      <td id=\"T_457a2_row3_col1205\" class=\"data row3 col1205\" >3.471000</td>\n",
       "      <td id=\"T_457a2_row3_col1206\" class=\"data row3 col1206\" >3.723000</td>\n",
       "      <td id=\"T_457a2_row3_col1207\" class=\"data row3 col1207\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row3_col1208\" class=\"data row3 col1208\" >3.046000</td>\n",
       "      <td id=\"T_457a2_row3_col1209\" class=\"data row3 col1209\" >3.131000</td>\n",
       "      <td id=\"T_457a2_row3_col1210\" class=\"data row3 col1210\" >2.345000</td>\n",
       "      <td id=\"T_457a2_row3_col1211\" class=\"data row3 col1211\" >3.186000</td>\n",
       "      <td id=\"T_457a2_row3_col1212\" class=\"data row3 col1212\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row3_col1213\" class=\"data row3 col1213\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row3_col1214\" class=\"data row3 col1214\" >3.469000</td>\n",
       "      <td id=\"T_457a2_row3_col1215\" class=\"data row3 col1215\" >3.154000</td>\n",
       "      <td id=\"T_457a2_row3_col1216\" class=\"data row3 col1216\" >3.214000</td>\n",
       "      <td id=\"T_457a2_row3_col1217\" class=\"data row3 col1217\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row3_col1218\" class=\"data row3 col1218\" >2.344000</td>\n",
       "      <td id=\"T_457a2_row3_col1219\" class=\"data row3 col1219\" >2.492000</td>\n",
       "      <td id=\"T_457a2_row3_col1220\" class=\"data row3 col1220\" >3.212000</td>\n",
       "      <td id=\"T_457a2_row3_col1221\" class=\"data row3 col1221\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row3_col1222\" class=\"data row3 col1222\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row3_col1223\" class=\"data row3 col1223\" >3.163000</td>\n",
       "      <td id=\"T_457a2_row3_col1224\" class=\"data row3 col1224\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row3_col1225\" class=\"data row3 col1225\" >2.480000</td>\n",
       "      <td id=\"T_457a2_row3_col1226\" class=\"data row3 col1226\" >2.882000</td>\n",
       "      <td id=\"T_457a2_row3_col1227\" class=\"data row3 col1227\" >2.313000</td>\n",
       "      <td id=\"T_457a2_row3_col1228\" class=\"data row3 col1228\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row3_col1229\" class=\"data row3 col1229\" >2.658000</td>\n",
       "      <td id=\"T_457a2_row3_col1230\" class=\"data row3 col1230\" >3.058000</td>\n",
       "      <td id=\"T_457a2_row3_col1231\" class=\"data row3 col1231\" >2.861000</td>\n",
       "      <td id=\"T_457a2_row3_col1232\" class=\"data row3 col1232\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row3_col1233\" class=\"data row3 col1233\" >2.947000</td>\n",
       "      <td id=\"T_457a2_row3_col1234\" class=\"data row3 col1234\" >3.058000</td>\n",
       "      <td id=\"T_457a2_row3_col1235\" class=\"data row3 col1235\" >2.420000</td>\n",
       "      <td id=\"T_457a2_row3_col1236\" class=\"data row3 col1236\" >2.427000</td>\n",
       "      <td id=\"T_457a2_row3_col1237\" class=\"data row3 col1237\" >2.246000</td>\n",
       "      <td id=\"T_457a2_row3_col1238\" class=\"data row3 col1238\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row3_col1239\" class=\"data row3 col1239\" >2.374000</td>\n",
       "      <td id=\"T_457a2_row3_col1240\" class=\"data row3 col1240\" >2.612000</td>\n",
       "      <td id=\"T_457a2_row3_col1241\" class=\"data row3 col1241\" >2.282000</td>\n",
       "      <td id=\"T_457a2_row3_col1242\" class=\"data row3 col1242\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row3_col1243\" class=\"data row3 col1243\" >3.127000</td>\n",
       "      <td id=\"T_457a2_row3_col1244\" class=\"data row3 col1244\" >2.718000</td>\n",
       "      <td id=\"T_457a2_row3_col1245\" class=\"data row3 col1245\" >2.920000</td>\n",
       "      <td id=\"T_457a2_row3_col1246\" class=\"data row3 col1246\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row3_col1247\" class=\"data row3 col1247\" >3.119000</td>\n",
       "      <td id=\"T_457a2_row3_col1248\" class=\"data row3 col1248\" >3.022000</td>\n",
       "      <td id=\"T_457a2_row3_col1249\" class=\"data row3 col1249\" >3.351000</td>\n",
       "      <td id=\"T_457a2_row3_col1250\" class=\"data row3 col1250\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row3_col1251\" class=\"data row3 col1251\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row3_col1252\" class=\"data row3 col1252\" >2.972000</td>\n",
       "      <td id=\"T_457a2_row3_col1253\" class=\"data row3 col1253\" >2.555000</td>\n",
       "      <td id=\"T_457a2_row3_col1254\" class=\"data row3 col1254\" >2.997000</td>\n",
       "      <td id=\"T_457a2_row3_col1255\" class=\"data row3 col1255\" >3.194000</td>\n",
       "      <td id=\"T_457a2_row3_col1256\" class=\"data row3 col1256\" >2.291000</td>\n",
       "      <td id=\"T_457a2_row3_col1257\" class=\"data row3 col1257\" >2.305000</td>\n",
       "      <td id=\"T_457a2_row3_col1258\" class=\"data row3 col1258\" >3.038000</td>\n",
       "      <td id=\"T_457a2_row3_col1259\" class=\"data row3 col1259\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row3_col1260\" class=\"data row3 col1260\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row3_col1261\" class=\"data row3 col1261\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row3_col1262\" class=\"data row3 col1262\" >3.332000</td>\n",
       "      <td id=\"T_457a2_row3_col1263\" class=\"data row3 col1263\" >2.963000</td>\n",
       "      <td id=\"T_457a2_row3_col1264\" class=\"data row3 col1264\" >1.971000</td>\n",
       "      <td id=\"T_457a2_row3_col1265\" class=\"data row3 col1265\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row3_col1266\" class=\"data row3 col1266\" >2.086000</td>\n",
       "      <td id=\"T_457a2_row3_col1267\" class=\"data row3 col1267\" >2.216000</td>\n",
       "      <td id=\"T_457a2_row3_col1268\" class=\"data row3 col1268\" >2.286000</td>\n",
       "      <td id=\"T_457a2_row3_col1269\" class=\"data row3 col1269\" >2.268000</td>\n",
       "      <td id=\"T_457a2_row3_col1270\" class=\"data row3 col1270\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row3_col1271\" class=\"data row3 col1271\" >2.694000</td>\n",
       "      <td id=\"T_457a2_row3_col1272\" class=\"data row3 col1272\" >1.540000</td>\n",
       "      <td id=\"T_457a2_row3_col1273\" class=\"data row3 col1273\" >2.781000</td>\n",
       "      <td id=\"T_457a2_row3_col1274\" class=\"data row3 col1274\" >2.425000</td>\n",
       "      <td id=\"T_457a2_row3_col1275\" class=\"data row3 col1275\" >2.990000</td>\n",
       "      <td id=\"T_457a2_row3_col1276\" class=\"data row3 col1276\" >2.240000</td>\n",
       "      <td id=\"T_457a2_row3_col1277\" class=\"data row3 col1277\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row3_col1278\" class=\"data row3 col1278\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row3_col1279\" class=\"data row3 col1279\" >2.114000</td>\n",
       "      <td id=\"T_457a2_row3_col1280\" class=\"data row3 col1280\" >2.231000</td>\n",
       "      <td id=\"T_457a2_row3_col1281\" class=\"data row3 col1281\" >3.234000</td>\n",
       "      <td id=\"T_457a2_row3_col1282\" class=\"data row3 col1282\" >2.039000</td>\n",
       "      <td id=\"T_457a2_row3_col1283\" class=\"data row3 col1283\" >2.342000</td>\n",
       "      <td id=\"T_457a2_row3_col1284\" class=\"data row3 col1284\" >2.871000</td>\n",
       "      <td id=\"T_457a2_row3_col1285\" class=\"data row3 col1285\" >2.834000</td>\n",
       "      <td id=\"T_457a2_row3_col1286\" class=\"data row3 col1286\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row3_col1287\" class=\"data row3 col1287\" >2.634000</td>\n",
       "      <td id=\"T_457a2_row3_col1288\" class=\"data row3 col1288\" >3.191000</td>\n",
       "      <td id=\"T_457a2_row3_col1289\" class=\"data row3 col1289\" >3.300000</td>\n",
       "      <td id=\"T_457a2_row3_col1290\" class=\"data row3 col1290\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row3_col1291\" class=\"data row3 col1291\" >2.678000</td>\n",
       "      <td id=\"T_457a2_row3_col1292\" class=\"data row3 col1292\" >2.514000</td>\n",
       "      <td id=\"T_457a2_row3_col1293\" class=\"data row3 col1293\" >2.833000</td>\n",
       "      <td id=\"T_457a2_row3_col1294\" class=\"data row3 col1294\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row3_col1295\" class=\"data row3 col1295\" >3.213000</td>\n",
       "      <td id=\"T_457a2_row3_col1296\" class=\"data row3 col1296\" >2.976000</td>\n",
       "      <td id=\"T_457a2_row3_col1297\" class=\"data row3 col1297\" >3.535000</td>\n",
       "      <td id=\"T_457a2_row3_col1298\" class=\"data row3 col1298\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row3_col1299\" class=\"data row3 col1299\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row3_col1300\" class=\"data row3 col1300\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row3_col1301\" class=\"data row3 col1301\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row3_col1302\" class=\"data row3 col1302\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row3_col1303\" class=\"data row3 col1303\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row3_col1304\" class=\"data row3 col1304\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row3_col1305\" class=\"data row3 col1305\" >2.400000</td>\n",
       "      <td id=\"T_457a2_row3_col1306\" class=\"data row3 col1306\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row3_col1307\" class=\"data row3 col1307\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row3_col1308\" class=\"data row3 col1308\" >2.577000</td>\n",
       "      <td id=\"T_457a2_row3_col1309\" class=\"data row3 col1309\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row3_col1310\" class=\"data row3 col1310\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row3_col1311\" class=\"data row3 col1311\" >1.835000</td>\n",
       "      <td id=\"T_457a2_row3_col1312\" class=\"data row3 col1312\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row3_col1313\" class=\"data row3 col1313\" >2.659000</td>\n",
       "      <td id=\"T_457a2_row3_col1314\" class=\"data row3 col1314\" >2.570000</td>\n",
       "      <td id=\"T_457a2_row3_col1315\" class=\"data row3 col1315\" >2.464000</td>\n",
       "      <td id=\"T_457a2_row3_col1316\" class=\"data row3 col1316\" >1.894000</td>\n",
       "      <td id=\"T_457a2_row3_col1317\" class=\"data row3 col1317\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row3_col1318\" class=\"data row3 col1318\" >2.777000</td>\n",
       "      <td id=\"T_457a2_row3_col1319\" class=\"data row3 col1319\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row3_col1320\" class=\"data row3 col1320\" >3.090000</td>\n",
       "      <td id=\"T_457a2_row3_col1321\" class=\"data row3 col1321\" >2.256000</td>\n",
       "      <td id=\"T_457a2_row3_col1322\" class=\"data row3 col1322\" >3.330000</td>\n",
       "      <td id=\"T_457a2_row3_col1323\" class=\"data row3 col1323\" >2.995000</td>\n",
       "      <td id=\"T_457a2_row3_col1324\" class=\"data row3 col1324\" >2.629000</td>\n",
       "      <td id=\"T_457a2_row3_col1325\" class=\"data row3 col1325\" >3.100000</td>\n",
       "      <td id=\"T_457a2_row3_col1326\" class=\"data row3 col1326\" >3.102000</td>\n",
       "      <td id=\"T_457a2_row3_col1327\" class=\"data row3 col1327\" >2.717000</td>\n",
       "      <td id=\"T_457a2_row3_col1328\" class=\"data row3 col1328\" >2.535000</td>\n",
       "      <td id=\"T_457a2_row3_col1329\" class=\"data row3 col1329\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row3_col1330\" class=\"data row3 col1330\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row3_col1331\" class=\"data row3 col1331\" >2.872000</td>\n",
       "      <td id=\"T_457a2_row3_col1332\" class=\"data row3 col1332\" >2.827000</td>\n",
       "      <td id=\"T_457a2_row3_col1333\" class=\"data row3 col1333\" >2.919000</td>\n",
       "      <td id=\"T_457a2_row3_col1334\" class=\"data row3 col1334\" >2.884000</td>\n",
       "      <td id=\"T_457a2_row3_col1335\" class=\"data row3 col1335\" >2.836000</td>\n",
       "      <td id=\"T_457a2_row3_col1336\" class=\"data row3 col1336\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row3_col1337\" class=\"data row3 col1337\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row3_col1338\" class=\"data row3 col1338\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row3_col1339\" class=\"data row3 col1339\" >2.910000</td>\n",
       "      <td id=\"T_457a2_row3_col1340\" class=\"data row3 col1340\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row3_col1341\" class=\"data row3 col1341\" >2.826000</td>\n",
       "      <td id=\"T_457a2_row3_col1342\" class=\"data row3 col1342\" >2.869000</td>\n",
       "      <td id=\"T_457a2_row3_col1343\" class=\"data row3 col1343\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row3_col1344\" class=\"data row3 col1344\" >2.963000</td>\n",
       "      <td id=\"T_457a2_row3_col1345\" class=\"data row3 col1345\" >2.812000</td>\n",
       "      <td id=\"T_457a2_row3_col1346\" class=\"data row3 col1346\" >2.525000</td>\n",
       "      <td id=\"T_457a2_row3_col1347\" class=\"data row3 col1347\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row3_col1348\" class=\"data row3 col1348\" >2.659000</td>\n",
       "      <td id=\"T_457a2_row3_col1349\" class=\"data row3 col1349\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row3_col1350\" class=\"data row3 col1350\" >2.687000</td>\n",
       "      <td id=\"T_457a2_row3_col1351\" class=\"data row3 col1351\" >2.718000</td>\n",
       "      <td id=\"T_457a2_row3_col1352\" class=\"data row3 col1352\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row3_col1353\" class=\"data row3 col1353\" >2.817000</td>\n",
       "      <td id=\"T_457a2_row3_col1354\" class=\"data row3 col1354\" >3.107000</td>\n",
       "      <td id=\"T_457a2_row3_col1355\" class=\"data row3 col1355\" >2.866000</td>\n",
       "      <td id=\"T_457a2_row3_col1356\" class=\"data row3 col1356\" >2.580000</td>\n",
       "      <td id=\"T_457a2_row3_col1357\" class=\"data row3 col1357\" >3.173000</td>\n",
       "      <td id=\"T_457a2_row3_col1358\" class=\"data row3 col1358\" >2.336000</td>\n",
       "      <td id=\"T_457a2_row3_col1359\" class=\"data row3 col1359\" >2.739000</td>\n",
       "      <td id=\"T_457a2_row3_col1360\" class=\"data row3 col1360\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row3_col1361\" class=\"data row3 col1361\" >2.916000</td>\n",
       "      <td id=\"T_457a2_row3_col1362\" class=\"data row3 col1362\" >2.687000</td>\n",
       "      <td id=\"T_457a2_row3_col1363\" class=\"data row3 col1363\" >3.305000</td>\n",
       "      <td id=\"T_457a2_row3_col1364\" class=\"data row3 col1364\" >3.239000</td>\n",
       "      <td id=\"T_457a2_row3_col1365\" class=\"data row3 col1365\" >2.936000</td>\n",
       "      <td id=\"T_457a2_row3_col1366\" class=\"data row3 col1366\" >2.860000</td>\n",
       "      <td id=\"T_457a2_row3_col1367\" class=\"data row3 col1367\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row3_col1368\" class=\"data row3 col1368\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row3_col1369\" class=\"data row3 col1369\" >3.100000</td>\n",
       "      <td id=\"T_457a2_row3_col1370\" class=\"data row3 col1370\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row3_col1371\" class=\"data row3 col1371\" >3.141000</td>\n",
       "      <td id=\"T_457a2_row3_col1372\" class=\"data row3 col1372\" >3.606000</td>\n",
       "      <td id=\"T_457a2_row3_col1373\" class=\"data row3 col1373\" >3.243000</td>\n",
       "      <td id=\"T_457a2_row3_col1374\" class=\"data row3 col1374\" >3.186000</td>\n",
       "      <td id=\"T_457a2_row3_col1375\" class=\"data row3 col1375\" >4.199000</td>\n",
       "      <td id=\"T_457a2_row3_col1376\" class=\"data row3 col1376\" >3.251000</td>\n",
       "      <td id=\"T_457a2_row3_col1377\" class=\"data row3 col1377\" >3.286000</td>\n",
       "      <td id=\"T_457a2_row3_col1378\" class=\"data row3 col1378\" >2.985000</td>\n",
       "      <td id=\"T_457a2_row3_col1379\" class=\"data row3 col1379\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row3_col1380\" class=\"data row3 col1380\" >2.421000</td>\n",
       "      <td id=\"T_457a2_row3_col1381\" class=\"data row3 col1381\" >3.104000</td>\n",
       "      <td id=\"T_457a2_row3_col1382\" class=\"data row3 col1382\" >2.210000</td>\n",
       "      <td id=\"T_457a2_row3_col1383\" class=\"data row3 col1383\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row3_col1384\" class=\"data row3 col1384\" >2.216000</td>\n",
       "      <td id=\"T_457a2_row3_col1385\" class=\"data row3 col1385\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row3_col1386\" class=\"data row3 col1386\" >2.933000</td>\n",
       "      <td id=\"T_457a2_row3_col1387\" class=\"data row3 col1387\" >2.574000</td>\n",
       "      <td id=\"T_457a2_row3_col1388\" class=\"data row3 col1388\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row3_col1389\" class=\"data row3 col1389\" >3.125000</td>\n",
       "      <td id=\"T_457a2_row3_col1390\" class=\"data row3 col1390\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row3_col1391\" class=\"data row3 col1391\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row3_col1392\" class=\"data row3 col1392\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row3_col1393\" class=\"data row3 col1393\" >3.363000</td>\n",
       "      <td id=\"T_457a2_row3_col1394\" class=\"data row3 col1394\" >3.209000</td>\n",
       "      <td id=\"T_457a2_row3_col1395\" class=\"data row3 col1395\" >3.576000</td>\n",
       "      <td id=\"T_457a2_row3_col1396\" class=\"data row3 col1396\" >3.257000</td>\n",
       "      <td id=\"T_457a2_row3_col1397\" class=\"data row3 col1397\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row3_col1398\" class=\"data row3 col1398\" >3.030000</td>\n",
       "      <td id=\"T_457a2_row3_col1399\" class=\"data row3 col1399\" >2.806000</td>\n",
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       "      <td id=\"T_457a2_row4_col994\" class=\"data row4 col994\" >801.620000</td>\n",
       "      <td id=\"T_457a2_row4_col995\" class=\"data row4 col995\" >337.780000</td>\n",
       "      <td id=\"T_457a2_row4_col996\" class=\"data row4 col996\" >585.520000</td>\n",
       "      <td id=\"T_457a2_row4_col997\" class=\"data row4 col997\" >435.480000</td>\n",
       "      <td id=\"T_457a2_row4_col998\" class=\"data row4 col998\" >317.100000</td>\n",
       "      <td id=\"T_457a2_row4_col999\" class=\"data row4 col999\" >894.930000</td>\n",
       "      <td id=\"T_457a2_row4_col1000\" class=\"data row4 col1000\" >287.980000</td>\n",
       "      <td id=\"T_457a2_row4_col1001\" class=\"data row4 col1001\" >314.040000</td>\n",
       "      <td id=\"T_457a2_row4_col1002\" class=\"data row4 col1002\" >344.000000</td>\n",
       "      <td id=\"T_457a2_row4_col1003\" class=\"data row4 col1003\" >657.650000</td>\n",
       "      <td id=\"T_457a2_row4_col1004\" class=\"data row4 col1004\" >308.940000</td>\n",
       "      <td id=\"T_457a2_row4_col1005\" class=\"data row4 col1005\" >237.280000</td>\n",
       "      <td id=\"T_457a2_row4_col1006\" class=\"data row4 col1006\" >137.680000</td>\n",
       "      <td id=\"T_457a2_row4_col1007\" class=\"data row4 col1007\" >388.690000</td>\n",
       "      <td id=\"T_457a2_row4_col1008\" class=\"data row4 col1008\" >431.840000</td>\n",
       "      <td id=\"T_457a2_row4_col1009\" class=\"data row4 col1009\" >332.400000</td>\n",
       "      <td id=\"T_457a2_row4_col1010\" class=\"data row4 col1010\" >300.810000</td>\n",
       "      <td id=\"T_457a2_row4_col1011\" class=\"data row4 col1011\" >312.460000</td>\n",
       "      <td id=\"T_457a2_row4_col1012\" class=\"data row4 col1012\" >191.970000</td>\n",
       "      <td id=\"T_457a2_row4_col1013\" class=\"data row4 col1013\" >381.200000</td>\n",
       "      <td id=\"T_457a2_row4_col1014\" class=\"data row4 col1014\" >451.570000</td>\n",
       "      <td id=\"T_457a2_row4_col1015\" class=\"data row4 col1015\" >249.350000</td>\n",
       "      <td id=\"T_457a2_row4_col1016\" class=\"data row4 col1016\" >182.460000</td>\n",
       "      <td id=\"T_457a2_row4_col1017\" class=\"data row4 col1017\" >153.430000</td>\n",
       "      <td id=\"T_457a2_row4_col1018\" class=\"data row4 col1018\" >223.560000</td>\n",
       "      <td id=\"T_457a2_row4_col1019\" class=\"data row4 col1019\" >492.250000</td>\n",
       "      <td id=\"T_457a2_row4_col1020\" class=\"data row4 col1020\" >723.210000</td>\n",
       "      <td id=\"T_457a2_row4_col1021\" class=\"data row4 col1021\" >210.330000</td>\n",
       "      <td id=\"T_457a2_row4_col1022\" class=\"data row4 col1022\" >255.530000</td>\n",
       "      <td id=\"T_457a2_row4_col1023\" class=\"data row4 col1023\" >364.970000</td>\n",
       "      <td id=\"T_457a2_row4_col1024\" class=\"data row4 col1024\" >274.400000</td>\n",
       "      <td id=\"T_457a2_row4_col1025\" class=\"data row4 col1025\" >736.320000</td>\n",
       "      <td id=\"T_457a2_row4_col1026\" class=\"data row4 col1026\" >147.430000</td>\n",
       "      <td id=\"T_457a2_row4_col1027\" class=\"data row4 col1027\" >388.500000</td>\n",
       "      <td id=\"T_457a2_row4_col1028\" class=\"data row4 col1028\" >547.690000</td>\n",
       "      <td id=\"T_457a2_row4_col1029\" class=\"data row4 col1029\" >238.500000</td>\n",
       "      <td id=\"T_457a2_row4_col1030\" class=\"data row4 col1030\" >329.800000</td>\n",
       "      <td id=\"T_457a2_row4_col1031\" class=\"data row4 col1031\" >439.480000</td>\n",
       "      <td id=\"T_457a2_row4_col1032\" class=\"data row4 col1032\" >543.490000</td>\n",
       "      <td id=\"T_457a2_row4_col1033\" class=\"data row4 col1033\" >476.020000</td>\n",
       "      <td id=\"T_457a2_row4_col1034\" class=\"data row4 col1034\" >1228.000000</td>\n",
       "      <td id=\"T_457a2_row4_col1035\" class=\"data row4 col1035\" >626.160000</td>\n",
       "      <td id=\"T_457a2_row4_col1036\" class=\"data row4 col1036\" >898.960000</td>\n",
       "      <td id=\"T_457a2_row4_col1037\" class=\"data row4 col1037\" >1331.700000</td>\n",
       "      <td id=\"T_457a2_row4_col1038\" class=\"data row4 col1038\" >1107.800000</td>\n",
       "      <td id=\"T_457a2_row4_col1039\" class=\"data row4 col1039\" >773.930000</td>\n",
       "      <td id=\"T_457a2_row4_col1040\" class=\"data row4 col1040\" >462.630000</td>\n",
       "      <td id=\"T_457a2_row4_col1041\" class=\"data row4 col1041\" >749.530000</td>\n",
       "      <td id=\"T_457a2_row4_col1042\" class=\"data row4 col1042\" >779.690000</td>\n",
       "      <td id=\"T_457a2_row4_col1043\" class=\"data row4 col1043\" >428.330000</td>\n",
       "      <td id=\"T_457a2_row4_col1044\" class=\"data row4 col1044\" >281.740000</td>\n",
       "      <td id=\"T_457a2_row4_col1045\" class=\"data row4 col1045\" >589.560000</td>\n",
       "      <td id=\"T_457a2_row4_col1046\" class=\"data row4 col1046\" >507.260000</td>\n",
       "      <td id=\"T_457a2_row4_col1047\" class=\"data row4 col1047\" >564.070000</td>\n",
       "      <td id=\"T_457a2_row4_col1048\" class=\"data row4 col1048\" >524.530000</td>\n",
       "      <td id=\"T_457a2_row4_col1049\" class=\"data row4 col1049\" >239.440000</td>\n",
       "      <td id=\"T_457a2_row4_col1050\" class=\"data row4 col1050\" >405.490000</td>\n",
       "      <td id=\"T_457a2_row4_col1051\" class=\"data row4 col1051\" >863.940000</td>\n",
       "      <td id=\"T_457a2_row4_col1052\" class=\"data row4 col1052\" >1570.100000</td>\n",
       "      <td id=\"T_457a2_row4_col1053\" class=\"data row4 col1053\" >1220.800000</td>\n",
       "      <td id=\"T_457a2_row4_col1054\" class=\"data row4 col1054\" >826.550000</td>\n",
       "      <td id=\"T_457a2_row4_col1055\" class=\"data row4 col1055\" >178.780000</td>\n",
       "      <td id=\"T_457a2_row4_col1056\" class=\"data row4 col1056\" >357.700000</td>\n",
       "      <td id=\"T_457a2_row4_col1057\" class=\"data row4 col1057\" >318.520000</td>\n",
       "      <td id=\"T_457a2_row4_col1058\" class=\"data row4 col1058\" >212.820000</td>\n",
       "      <td id=\"T_457a2_row4_col1059\" class=\"data row4 col1059\" >171.660000</td>\n",
       "      <td id=\"T_457a2_row4_col1060\" class=\"data row4 col1060\" >330.760000</td>\n",
       "      <td id=\"T_457a2_row4_col1061\" class=\"data row4 col1061\" >349.900000</td>\n",
       "      <td id=\"T_457a2_row4_col1062\" class=\"data row4 col1062\" >284.160000</td>\n",
       "      <td id=\"T_457a2_row4_col1063\" class=\"data row4 col1063\" >292.550000</td>\n",
       "      <td id=\"T_457a2_row4_col1064\" class=\"data row4 col1064\" >203.560000</td>\n",
       "      <td id=\"T_457a2_row4_col1065\" class=\"data row4 col1065\" >165.030000</td>\n",
       "      <td id=\"T_457a2_row4_col1066\" class=\"data row4 col1066\" >587.320000</td>\n",
       "      <td id=\"T_457a2_row4_col1067\" class=\"data row4 col1067\" >180.450000</td>\n",
       "      <td id=\"T_457a2_row4_col1068\" class=\"data row4 col1068\" >198.490000</td>\n",
       "      <td id=\"T_457a2_row4_col1069\" class=\"data row4 col1069\" >449.550000</td>\n",
       "      <td id=\"T_457a2_row4_col1070\" class=\"data row4 col1070\" >332.910000</td>\n",
       "      <td id=\"T_457a2_row4_col1071\" class=\"data row4 col1071\" >192.450000</td>\n",
       "      <td id=\"T_457a2_row4_col1072\" class=\"data row4 col1072\" >357.030000</td>\n",
       "      <td id=\"T_457a2_row4_col1073\" class=\"data row4 col1073\" >654.510000</td>\n",
       "      <td id=\"T_457a2_row4_col1074\" class=\"data row4 col1074\" >480.500000</td>\n",
       "      <td id=\"T_457a2_row4_col1075\" class=\"data row4 col1075\" >618.060000</td>\n",
       "      <td id=\"T_457a2_row4_col1076\" class=\"data row4 col1076\" >248.500000</td>\n",
       "      <td id=\"T_457a2_row4_col1077\" class=\"data row4 col1077\" >291.570000</td>\n",
       "      <td id=\"T_457a2_row4_col1078\" class=\"data row4 col1078\" >401.530000</td>\n",
       "      <td id=\"T_457a2_row4_col1079\" class=\"data row4 col1079\" >473.600000</td>\n",
       "      <td id=\"T_457a2_row4_col1080\" class=\"data row4 col1080\" >521.860000</td>\n",
       "      <td id=\"T_457a2_row4_col1081\" class=\"data row4 col1081\" >318.470000</td>\n",
       "      <td id=\"T_457a2_row4_col1082\" class=\"data row4 col1082\" >298.460000</td>\n",
       "      <td id=\"T_457a2_row4_col1083\" class=\"data row4 col1083\" >266.570000</td>\n",
       "      <td id=\"T_457a2_row4_col1084\" class=\"data row4 col1084\" >1.929000</td>\n",
       "      <td id=\"T_457a2_row4_col1085\" class=\"data row4 col1085\" >2.373000</td>\n",
       "      <td id=\"T_457a2_row4_col1086\" class=\"data row4 col1086\" >2.129000</td>\n",
       "      <td id=\"T_457a2_row4_col1087\" class=\"data row4 col1087\" >2.160000</td>\n",
       "      <td id=\"T_457a2_row4_col1088\" class=\"data row4 col1088\" >2.264000</td>\n",
       "      <td id=\"T_457a2_row4_col1089\" class=\"data row4 col1089\" >2.234000</td>\n",
       "      <td id=\"T_457a2_row4_col1090\" class=\"data row4 col1090\" >2.475000</td>\n",
       "      <td id=\"T_457a2_row4_col1091\" class=\"data row4 col1091\" >2.304000</td>\n",
       "      <td id=\"T_457a2_row4_col1092\" class=\"data row4 col1092\" >1.520000</td>\n",
       "      <td id=\"T_457a2_row4_col1093\" class=\"data row4 col1093\" >2.216000</td>\n",
       "      <td id=\"T_457a2_row4_col1094\" class=\"data row4 col1094\" >2.215000</td>\n",
       "      <td id=\"T_457a2_row4_col1095\" class=\"data row4 col1095\" >2.492000</td>\n",
       "      <td id=\"T_457a2_row4_col1096\" class=\"data row4 col1096\" >2.200000</td>\n",
       "      <td id=\"T_457a2_row4_col1097\" class=\"data row4 col1097\" >2.160000</td>\n",
       "      <td id=\"T_457a2_row4_col1098\" class=\"data row4 col1098\" >2.381000</td>\n",
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       "      <td id=\"T_457a2_row4_col1101\" class=\"data row4 col1101\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row4_col1102\" class=\"data row4 col1102\" >2.015000</td>\n",
       "      <td id=\"T_457a2_row4_col1103\" class=\"data row4 col1103\" >2.297000</td>\n",
       "      <td id=\"T_457a2_row4_col1104\" class=\"data row4 col1104\" >2.456000</td>\n",
       "      <td id=\"T_457a2_row4_col1105\" class=\"data row4 col1105\" >2.739000</td>\n",
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       "      <td id=\"T_457a2_row4_col1111\" class=\"data row4 col1111\" >3.180000</td>\n",
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       "      <td id=\"T_457a2_row4_col1172\" class=\"data row4 col1172\" >2.243000</td>\n",
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       "      <td id=\"T_457a2_row4_col1190\" class=\"data row4 col1190\" >3.304000</td>\n",
       "      <td id=\"T_457a2_row4_col1191\" class=\"data row4 col1191\" >2.251000</td>\n",
       "      <td id=\"T_457a2_row4_col1192\" class=\"data row4 col1192\" >3.351000</td>\n",
       "      <td id=\"T_457a2_row4_col1193\" class=\"data row4 col1193\" >3.424000</td>\n",
       "      <td id=\"T_457a2_row4_col1194\" class=\"data row4 col1194\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row4_col1195\" class=\"data row4 col1195\" >3.677000</td>\n",
       "      <td id=\"T_457a2_row4_col1196\" class=\"data row4 col1196\" >2.439000</td>\n",
       "      <td id=\"T_457a2_row4_col1197\" class=\"data row4 col1197\" >2.435000</td>\n",
       "      <td id=\"T_457a2_row4_col1198\" class=\"data row4 col1198\" >2.881000</td>\n",
       "      <td id=\"T_457a2_row4_col1199\" class=\"data row4 col1199\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row4_col1200\" class=\"data row4 col1200\" >1.677000</td>\n",
       "      <td id=\"T_457a2_row4_col1201\" class=\"data row4 col1201\" >3.268000</td>\n",
       "      <td id=\"T_457a2_row4_col1202\" class=\"data row4 col1202\" >1.989000</td>\n",
       "      <td id=\"T_457a2_row4_col1203\" class=\"data row4 col1203\" >2.230000</td>\n",
       "      <td id=\"T_457a2_row4_col1204\" class=\"data row4 col1204\" >2.111000</td>\n",
       "      <td id=\"T_457a2_row4_col1205\" class=\"data row4 col1205\" >2.474000</td>\n",
       "      <td id=\"T_457a2_row4_col1206\" class=\"data row4 col1206\" >3.249000</td>\n",
       "      <td id=\"T_457a2_row4_col1207\" class=\"data row4 col1207\" >2.705000</td>\n",
       "      <td id=\"T_457a2_row4_col1208\" class=\"data row4 col1208\" >3.058000</td>\n",
       "      <td id=\"T_457a2_row4_col1209\" class=\"data row4 col1209\" >2.705000</td>\n",
       "      <td id=\"T_457a2_row4_col1210\" class=\"data row4 col1210\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row4_col1211\" class=\"data row4 col1211\" >2.206000</td>\n",
       "      <td id=\"T_457a2_row4_col1212\" class=\"data row4 col1212\" >2.322000</td>\n",
       "      <td id=\"T_457a2_row4_col1213\" class=\"data row4 col1213\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row4_col1214\" class=\"data row4 col1214\" >2.574000</td>\n",
       "      <td id=\"T_457a2_row4_col1215\" class=\"data row4 col1215\" >3.133000</td>\n",
       "      <td id=\"T_457a2_row4_col1216\" class=\"data row4 col1216\" >3.197000</td>\n",
       "      <td id=\"T_457a2_row4_col1217\" class=\"data row4 col1217\" >2.358000</td>\n",
       "      <td id=\"T_457a2_row4_col1218\" class=\"data row4 col1218\" >2.775000</td>\n",
       "      <td id=\"T_457a2_row4_col1219\" class=\"data row4 col1219\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row4_col1220\" class=\"data row4 col1220\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row4_col1221\" class=\"data row4 col1221\" >2.528000</td>\n",
       "      <td id=\"T_457a2_row4_col1222\" class=\"data row4 col1222\" >2.644000</td>\n",
       "      <td id=\"T_457a2_row4_col1223\" class=\"data row4 col1223\" >2.184000</td>\n",
       "      <td id=\"T_457a2_row4_col1224\" class=\"data row4 col1224\" >2.068000</td>\n",
       "      <td id=\"T_457a2_row4_col1225\" class=\"data row4 col1225\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row4_col1226\" class=\"data row4 col1226\" >2.898000</td>\n",
       "      <td id=\"T_457a2_row4_col1227\" class=\"data row4 col1227\" >1.728000</td>\n",
       "      <td id=\"T_457a2_row4_col1228\" class=\"data row4 col1228\" >2.130000</td>\n",
       "      <td id=\"T_457a2_row4_col1229\" class=\"data row4 col1229\" >1.998000</td>\n",
       "      <td id=\"T_457a2_row4_col1230\" class=\"data row4 col1230\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row4_col1231\" class=\"data row4 col1231\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row4_col1232\" class=\"data row4 col1232\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row4_col1233\" class=\"data row4 col1233\" >2.434000</td>\n",
       "      <td id=\"T_457a2_row4_col1234\" class=\"data row4 col1234\" >2.820000</td>\n",
       "      <td id=\"T_457a2_row4_col1235\" class=\"data row4 col1235\" >2.414000</td>\n",
       "      <td id=\"T_457a2_row4_col1236\" class=\"data row4 col1236\" >2.471000</td>\n",
       "      <td id=\"T_457a2_row4_col1237\" class=\"data row4 col1237\" >2.778000</td>\n",
       "      <td id=\"T_457a2_row4_col1238\" class=\"data row4 col1238\" >2.369000</td>\n",
       "      <td id=\"T_457a2_row4_col1239\" class=\"data row4 col1239\" >2.120000</td>\n",
       "      <td id=\"T_457a2_row4_col1240\" class=\"data row4 col1240\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row4_col1241\" class=\"data row4 col1241\" >2.185000</td>\n",
       "      <td id=\"T_457a2_row4_col1242\" class=\"data row4 col1242\" >2.608000</td>\n",
       "      <td id=\"T_457a2_row4_col1243\" class=\"data row4 col1243\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row4_col1244\" class=\"data row4 col1244\" >2.162000</td>\n",
       "      <td id=\"T_457a2_row4_col1245\" class=\"data row4 col1245\" >2.436000</td>\n",
       "      <td id=\"T_457a2_row4_col1246\" class=\"data row4 col1246\" >3.176000</td>\n",
       "      <td id=\"T_457a2_row4_col1247\" class=\"data row4 col1247\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row4_col1248\" class=\"data row4 col1248\" >3.751000</td>\n",
       "      <td id=\"T_457a2_row4_col1249\" class=\"data row4 col1249\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row4_col1250\" class=\"data row4 col1250\" >3.198000</td>\n",
       "      <td id=\"T_457a2_row4_col1251\" class=\"data row4 col1251\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row4_col1252\" class=\"data row4 col1252\" >2.022000</td>\n",
       "      <td id=\"T_457a2_row4_col1253\" class=\"data row4 col1253\" >1.933000</td>\n",
       "      <td id=\"T_457a2_row4_col1254\" class=\"data row4 col1254\" >2.195000</td>\n",
       "      <td id=\"T_457a2_row4_col1255\" class=\"data row4 col1255\" >2.449000</td>\n",
       "      <td id=\"T_457a2_row4_col1256\" class=\"data row4 col1256\" >3.060000</td>\n",
       "      <td id=\"T_457a2_row4_col1257\" class=\"data row4 col1257\" >2.264000</td>\n",
       "      <td id=\"T_457a2_row4_col1258\" class=\"data row4 col1258\" >3.176000</td>\n",
       "      <td id=\"T_457a2_row4_col1259\" class=\"data row4 col1259\" >2.326000</td>\n",
       "      <td id=\"T_457a2_row4_col1260\" class=\"data row4 col1260\" >2.766000</td>\n",
       "      <td id=\"T_457a2_row4_col1261\" class=\"data row4 col1261\" >2.509000</td>\n",
       "      <td id=\"T_457a2_row4_col1262\" class=\"data row4 col1262\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row4_col1263\" class=\"data row4 col1263\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row4_col1264\" class=\"data row4 col1264\" >2.104000</td>\n",
       "      <td id=\"T_457a2_row4_col1265\" class=\"data row4 col1265\" >2.077000</td>\n",
       "      <td id=\"T_457a2_row4_col1266\" class=\"data row4 col1266\" >2.205000</td>\n",
       "      <td id=\"T_457a2_row4_col1267\" class=\"data row4 col1267\" >2.297000</td>\n",
       "      <td id=\"T_457a2_row4_col1268\" class=\"data row4 col1268\" >2.156000</td>\n",
       "      <td id=\"T_457a2_row4_col1269\" class=\"data row4 col1269\" >2.074000</td>\n",
       "      <td id=\"T_457a2_row4_col1270\" class=\"data row4 col1270\" >2.406000</td>\n",
       "      <td id=\"T_457a2_row4_col1271\" class=\"data row4 col1271\" >2.223000</td>\n",
       "      <td id=\"T_457a2_row4_col1272\" class=\"data row4 col1272\" >1.372000</td>\n",
       "      <td id=\"T_457a2_row4_col1273\" class=\"data row4 col1273\" >2.198000</td>\n",
       "      <td id=\"T_457a2_row4_col1274\" class=\"data row4 col1274\" >2.006000</td>\n",
       "      <td id=\"T_457a2_row4_col1275\" class=\"data row4 col1275\" >2.253000</td>\n",
       "      <td id=\"T_457a2_row4_col1276\" class=\"data row4 col1276\" >2.137000</td>\n",
       "      <td id=\"T_457a2_row4_col1277\" class=\"data row4 col1277\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row4_col1278\" class=\"data row4 col1278\" >1.911000</td>\n",
       "      <td id=\"T_457a2_row4_col1279\" class=\"data row4 col1279\" >1.845000</td>\n",
       "      <td id=\"T_457a2_row4_col1280\" class=\"data row4 col1280\" >2.293000</td>\n",
       "      <td id=\"T_457a2_row4_col1281\" class=\"data row4 col1281\" >2.947000</td>\n",
       "      <td id=\"T_457a2_row4_col1282\" class=\"data row4 col1282\" >2.112000</td>\n",
       "      <td id=\"T_457a2_row4_col1283\" class=\"data row4 col1283\" >1.815000</td>\n",
       "      <td id=\"T_457a2_row4_col1284\" class=\"data row4 col1284\" >1.999000</td>\n",
       "      <td id=\"T_457a2_row4_col1285\" class=\"data row4 col1285\" >2.705000</td>\n",
       "      <td id=\"T_457a2_row4_col1286\" class=\"data row4 col1286\" >2.294000</td>\n",
       "      <td id=\"T_457a2_row4_col1287\" class=\"data row4 col1287\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row4_col1288\" class=\"data row4 col1288\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row4_col1289\" class=\"data row4 col1289\" >3.198000</td>\n",
       "      <td id=\"T_457a2_row4_col1290\" class=\"data row4 col1290\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row4_col1291\" class=\"data row4 col1291\" >2.433000</td>\n",
       "      <td id=\"T_457a2_row4_col1292\" class=\"data row4 col1292\" >2.165000</td>\n",
       "      <td id=\"T_457a2_row4_col1293\" class=\"data row4 col1293\" >2.018000</td>\n",
       "      <td id=\"T_457a2_row4_col1294\" class=\"data row4 col1294\" >3.518000</td>\n",
       "      <td id=\"T_457a2_row4_col1295\" class=\"data row4 col1295\" >3.164000</td>\n",
       "      <td id=\"T_457a2_row4_col1296\" class=\"data row4 col1296\" >3.022000</td>\n",
       "      <td id=\"T_457a2_row4_col1297\" class=\"data row4 col1297\" >4.147000</td>\n",
       "      <td id=\"T_457a2_row4_col1298\" class=\"data row4 col1298\" >2.862000</td>\n",
       "      <td id=\"T_457a2_row4_col1299\" class=\"data row4 col1299\" >2.056000</td>\n",
       "      <td id=\"T_457a2_row4_col1300\" class=\"data row4 col1300\" >1.882000</td>\n",
       "      <td id=\"T_457a2_row4_col1301\" class=\"data row4 col1301\" >2.456000</td>\n",
       "      <td id=\"T_457a2_row4_col1302\" class=\"data row4 col1302\" >2.261000</td>\n",
       "      <td id=\"T_457a2_row4_col1303\" class=\"data row4 col1303\" >2.282000</td>\n",
       "      <td id=\"T_457a2_row4_col1304\" class=\"data row4 col1304\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row4_col1305\" class=\"data row4 col1305\" >1.857000</td>\n",
       "      <td id=\"T_457a2_row4_col1306\" class=\"data row4 col1306\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row4_col1307\" class=\"data row4 col1307\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row4_col1308\" class=\"data row4 col1308\" >1.766000</td>\n",
       "      <td id=\"T_457a2_row4_col1309\" class=\"data row4 col1309\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row4_col1310\" class=\"data row4 col1310\" >1.985000</td>\n",
       "      <td id=\"T_457a2_row4_col1311\" class=\"data row4 col1311\" >1.699000</td>\n",
       "      <td id=\"T_457a2_row4_col1312\" class=\"data row4 col1312\" >1.755000</td>\n",
       "      <td id=\"T_457a2_row4_col1313\" class=\"data row4 col1313\" >1.982000</td>\n",
       "      <td id=\"T_457a2_row4_col1314\" class=\"data row4 col1314\" >2.144000</td>\n",
       "      <td id=\"T_457a2_row4_col1315\" class=\"data row4 col1315\" >1.839000</td>\n",
       "      <td id=\"T_457a2_row4_col1316\" class=\"data row4 col1316\" >1.658000</td>\n",
       "      <td id=\"T_457a2_row4_col1317\" class=\"data row4 col1317\" >2.019000</td>\n",
       "      <td id=\"T_457a2_row4_col1318\" class=\"data row4 col1318\" >2.113000</td>\n",
       "      <td id=\"T_457a2_row4_col1319\" class=\"data row4 col1319\" >2.336000</td>\n",
       "      <td id=\"T_457a2_row4_col1320\" class=\"data row4 col1320\" >3.295000</td>\n",
       "      <td id=\"T_457a2_row4_col1321\" class=\"data row4 col1321\" >2.893000</td>\n",
       "      <td id=\"T_457a2_row4_col1322\" class=\"data row4 col1322\" >3.710000</td>\n",
       "      <td id=\"T_457a2_row4_col1323\" class=\"data row4 col1323\" >2.129000</td>\n",
       "      <td id=\"T_457a2_row4_col1324\" class=\"data row4 col1324\" >2.989000</td>\n",
       "      <td id=\"T_457a2_row4_col1325\" class=\"data row4 col1325\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row4_col1326\" class=\"data row4 col1326\" >3.171000</td>\n",
       "      <td id=\"T_457a2_row4_col1327\" class=\"data row4 col1327\" >2.030000</td>\n",
       "      <td id=\"T_457a2_row4_col1328\" class=\"data row4 col1328\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row4_col1329\" class=\"data row4 col1329\" >2.704000</td>\n",
       "      <td id=\"T_457a2_row4_col1330\" class=\"data row4 col1330\" >2.640000</td>\n",
       "      <td id=\"T_457a2_row4_col1331\" class=\"data row4 col1331\" >2.339000</td>\n",
       "      <td id=\"T_457a2_row4_col1332\" class=\"data row4 col1332\" >2.623000</td>\n",
       "      <td id=\"T_457a2_row4_col1333\" class=\"data row4 col1333\" >2.802000</td>\n",
       "      <td id=\"T_457a2_row4_col1334\" class=\"data row4 col1334\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row4_col1335\" class=\"data row4 col1335\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row4_col1336\" class=\"data row4 col1336\" >2.097000</td>\n",
       "      <td id=\"T_457a2_row4_col1337\" class=\"data row4 col1337\" >2.195000</td>\n",
       "      <td id=\"T_457a2_row4_col1338\" class=\"data row4 col1338\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row4_col1339\" class=\"data row4 col1339\" >2.735000</td>\n",
       "      <td id=\"T_457a2_row4_col1340\" class=\"data row4 col1340\" >2.425000</td>\n",
       "      <td id=\"T_457a2_row4_col1341\" class=\"data row4 col1341\" >2.175000</td>\n",
       "      <td id=\"T_457a2_row4_col1342\" class=\"data row4 col1342\" >2.260000</td>\n",
       "      <td id=\"T_457a2_row4_col1343\" class=\"data row4 col1343\" >1.652000</td>\n",
       "      <td id=\"T_457a2_row4_col1344\" class=\"data row4 col1344\" >2.147000</td>\n",
       "      <td id=\"T_457a2_row4_col1345\" class=\"data row4 col1345\" >2.099000</td>\n",
       "      <td id=\"T_457a2_row4_col1346\" class=\"data row4 col1346\" >2.396000</td>\n",
       "      <td id=\"T_457a2_row4_col1347\" class=\"data row4 col1347\" >2.070000</td>\n",
       "      <td id=\"T_457a2_row4_col1348\" class=\"data row4 col1348\" >2.181000</td>\n",
       "      <td id=\"T_457a2_row4_col1349\" class=\"data row4 col1349\" >2.089000</td>\n",
       "      <td id=\"T_457a2_row4_col1350\" class=\"data row4 col1350\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row4_col1351\" class=\"data row4 col1351\" >3.090000</td>\n",
       "      <td id=\"T_457a2_row4_col1352\" class=\"data row4 col1352\" >2.603000</td>\n",
       "      <td id=\"T_457a2_row4_col1353\" class=\"data row4 col1353\" >2.389000</td>\n",
       "      <td id=\"T_457a2_row4_col1354\" class=\"data row4 col1354\" >2.285000</td>\n",
       "      <td id=\"T_457a2_row4_col1355\" class=\"data row4 col1355\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row4_col1356\" class=\"data row4 col1356\" >2.333000</td>\n",
       "      <td id=\"T_457a2_row4_col1357\" class=\"data row4 col1357\" >2.552000</td>\n",
       "      <td id=\"T_457a2_row4_col1358\" class=\"data row4 col1358\" >1.620000</td>\n",
       "      <td id=\"T_457a2_row4_col1359\" class=\"data row4 col1359\" >2.220000</td>\n",
       "      <td id=\"T_457a2_row4_col1360\" class=\"data row4 col1360\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row4_col1361\" class=\"data row4 col1361\" >2.280000</td>\n",
       "      <td id=\"T_457a2_row4_col1362\" class=\"data row4 col1362\" >2.357000</td>\n",
       "      <td id=\"T_457a2_row4_col1363\" class=\"data row4 col1363\" >2.374000</td>\n",
       "      <td id=\"T_457a2_row4_col1364\" class=\"data row4 col1364\" >2.211000</td>\n",
       "      <td id=\"T_457a2_row4_col1365\" class=\"data row4 col1365\" >2.744000</td>\n",
       "      <td id=\"T_457a2_row4_col1366\" class=\"data row4 col1366\" >2.637000</td>\n",
       "      <td id=\"T_457a2_row4_col1367\" class=\"data row4 col1367\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row4_col1368\" class=\"data row4 col1368\" >2.282000</td>\n",
       "      <td id=\"T_457a2_row4_col1369\" class=\"data row4 col1369\" >3.959000</td>\n",
       "      <td id=\"T_457a2_row4_col1370\" class=\"data row4 col1370\" >3.179000</td>\n",
       "      <td id=\"T_457a2_row4_col1371\" class=\"data row4 col1371\" >1.911000</td>\n",
       "      <td id=\"T_457a2_row4_col1372\" class=\"data row4 col1372\" >3.640000</td>\n",
       "      <td id=\"T_457a2_row4_col1373\" class=\"data row4 col1373\" >3.118000</td>\n",
       "      <td id=\"T_457a2_row4_col1374\" class=\"data row4 col1374\" >2.598000</td>\n",
       "      <td id=\"T_457a2_row4_col1375\" class=\"data row4 col1375\" >3.147000</td>\n",
       "      <td id=\"T_457a2_row4_col1376\" class=\"data row4 col1376\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row4_col1377\" class=\"data row4 col1377\" >1.983000</td>\n",
       "      <td id=\"T_457a2_row4_col1378\" class=\"data row4 col1378\" >2.469000</td>\n",
       "      <td id=\"T_457a2_row4_col1379\" class=\"data row4 col1379\" >2.079000</td>\n",
       "      <td id=\"T_457a2_row4_col1380\" class=\"data row4 col1380\" >1.906000</td>\n",
       "      <td id=\"T_457a2_row4_col1381\" class=\"data row4 col1381\" >3.493000</td>\n",
       "      <td id=\"T_457a2_row4_col1382\" class=\"data row4 col1382\" >2.083000</td>\n",
       "      <td id=\"T_457a2_row4_col1383\" class=\"data row4 col1383\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row4_col1384\" class=\"data row4 col1384\" >2.456000</td>\n",
       "      <td id=\"T_457a2_row4_col1385\" class=\"data row4 col1385\" >2.750000</td>\n",
       "      <td id=\"T_457a2_row4_col1386\" class=\"data row4 col1386\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row4_col1387\" class=\"data row4 col1387\" >2.912000</td>\n",
       "      <td id=\"T_457a2_row4_col1388\" class=\"data row4 col1388\" >2.568000</td>\n",
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       "      <td id=\"T_457a2_row5_col988\" class=\"data row5 col988\" >467.880000</td>\n",
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       "      <td id=\"T_457a2_row5_col992\" class=\"data row5 col992\" >404.900000</td>\n",
       "      <td id=\"T_457a2_row5_col993\" class=\"data row5 col993\" >486.830000</td>\n",
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       "      <td id=\"T_457a2_row5_col995\" class=\"data row5 col995\" >341.880000</td>\n",
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       "      <td id=\"T_457a2_row5_col997\" class=\"data row5 col997\" >330.330000</td>\n",
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       "      <td id=\"T_457a2_row5_col1001\" class=\"data row5 col1001\" >386.430000</td>\n",
       "      <td id=\"T_457a2_row5_col1002\" class=\"data row5 col1002\" >285.860000</td>\n",
       "      <td id=\"T_457a2_row5_col1003\" class=\"data row5 col1003\" >534.270000</td>\n",
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       "      <td id=\"T_457a2_row5_col1005\" class=\"data row5 col1005\" >241.080000</td>\n",
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       "      <td id=\"T_457a2_row5_col1009\" class=\"data row5 col1009\" >378.870000</td>\n",
       "      <td id=\"T_457a2_row5_col1010\" class=\"data row5 col1010\" >283.080000</td>\n",
       "      <td id=\"T_457a2_row5_col1011\" class=\"data row5 col1011\" >262.490000</td>\n",
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       "      <td id=\"T_457a2_row5_col1013\" class=\"data row5 col1013\" >269.250000</td>\n",
       "      <td id=\"T_457a2_row5_col1014\" class=\"data row5 col1014\" >367.780000</td>\n",
       "      <td id=\"T_457a2_row5_col1015\" class=\"data row5 col1015\" >187.670000</td>\n",
       "      <td id=\"T_457a2_row5_col1016\" class=\"data row5 col1016\" >157.670000</td>\n",
       "      <td id=\"T_457a2_row5_col1017\" class=\"data row5 col1017\" >140.630000</td>\n",
       "      <td id=\"T_457a2_row5_col1018\" class=\"data row5 col1018\" >135.550000</td>\n",
       "      <td id=\"T_457a2_row5_col1019\" class=\"data row5 col1019\" >320.880000</td>\n",
       "      <td id=\"T_457a2_row5_col1020\" class=\"data row5 col1020\" >556.730000</td>\n",
       "      <td id=\"T_457a2_row5_col1021\" class=\"data row5 col1021\" >191.310000</td>\n",
       "      <td id=\"T_457a2_row5_col1022\" class=\"data row5 col1022\" >256.520000</td>\n",
       "      <td id=\"T_457a2_row5_col1023\" class=\"data row5 col1023\" >352.280000</td>\n",
       "      <td id=\"T_457a2_row5_col1024\" class=\"data row5 col1024\" >243.970000</td>\n",
       "      <td id=\"T_457a2_row5_col1025\" class=\"data row5 col1025\" >690.290000</td>\n",
       "      <td id=\"T_457a2_row5_col1026\" class=\"data row5 col1026\" >154.590000</td>\n",
       "      <td id=\"T_457a2_row5_col1027\" class=\"data row5 col1027\" >346.590000</td>\n",
       "      <td id=\"T_457a2_row5_col1028\" class=\"data row5 col1028\" >467.130000</td>\n",
       "      <td id=\"T_457a2_row5_col1029\" class=\"data row5 col1029\" >239.930000</td>\n",
       "      <td id=\"T_457a2_row5_col1030\" class=\"data row5 col1030\" >265.830000</td>\n",
       "      <td id=\"T_457a2_row5_col1031\" class=\"data row5 col1031\" >415.700000</td>\n",
       "      <td id=\"T_457a2_row5_col1032\" class=\"data row5 col1032\" >463.540000</td>\n",
       "      <td id=\"T_457a2_row5_col1033\" class=\"data row5 col1033\" >413.010000</td>\n",
       "      <td id=\"T_457a2_row5_col1034\" class=\"data row5 col1034\" >1033.700000</td>\n",
       "      <td id=\"T_457a2_row5_col1035\" class=\"data row5 col1035\" >486.870000</td>\n",
       "      <td id=\"T_457a2_row5_col1036\" class=\"data row5 col1036\" >1011.000000</td>\n",
       "      <td id=\"T_457a2_row5_col1037\" class=\"data row5 col1037\" >1290.200000</td>\n",
       "      <td id=\"T_457a2_row5_col1038\" class=\"data row5 col1038\" >1077.400000</td>\n",
       "      <td id=\"T_457a2_row5_col1039\" class=\"data row5 col1039\" >760.640000</td>\n",
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       "      <td id=\"T_457a2_row5_col1041\" class=\"data row5 col1041\" >637.020000</td>\n",
       "      <td id=\"T_457a2_row5_col1042\" class=\"data row5 col1042\" >837.530000</td>\n",
       "      <td id=\"T_457a2_row5_col1043\" class=\"data row5 col1043\" >419.750000</td>\n",
       "      <td id=\"T_457a2_row5_col1044\" class=\"data row5 col1044\" >259.820000</td>\n",
       "      <td id=\"T_457a2_row5_col1045\" class=\"data row5 col1045\" >655.390000</td>\n",
       "      <td id=\"T_457a2_row5_col1046\" class=\"data row5 col1046\" >480.440000</td>\n",
       "      <td id=\"T_457a2_row5_col1047\" class=\"data row5 col1047\" >409.720000</td>\n",
       "      <td id=\"T_457a2_row5_col1048\" class=\"data row5 col1048\" >454.200000</td>\n",
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       "      <td id=\"T_457a2_row5_col1051\" class=\"data row5 col1051\" >760.130000</td>\n",
       "      <td id=\"T_457a2_row5_col1052\" class=\"data row5 col1052\" >1521.400000</td>\n",
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       "      <td id=\"T_457a2_row5_col1056\" class=\"data row5 col1056\" >397.120000</td>\n",
       "      <td id=\"T_457a2_row5_col1057\" class=\"data row5 col1057\" >258.750000</td>\n",
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       "      <td id=\"T_457a2_row5_col1061\" class=\"data row5 col1061\" >379.110000</td>\n",
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       "      <td id=\"T_457a2_row5_col1178\" class=\"data row5 col1178\" >2.460000</td>\n",
       "      <td id=\"T_457a2_row5_col1179\" class=\"data row5 col1179\" >2.830000</td>\n",
       "      <td id=\"T_457a2_row5_col1180\" class=\"data row5 col1180\" >2.842000</td>\n",
       "      <td id=\"T_457a2_row5_col1181\" class=\"data row5 col1181\" >3.366000</td>\n",
       "      <td id=\"T_457a2_row5_col1182\" class=\"data row5 col1182\" >3.397000</td>\n",
       "      <td id=\"T_457a2_row5_col1183\" class=\"data row5 col1183\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row5_col1184\" class=\"data row5 col1184\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row5_col1185\" class=\"data row5 col1185\" >2.890000</td>\n",
       "      <td id=\"T_457a2_row5_col1186\" class=\"data row5 col1186\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row5_col1187\" class=\"data row5 col1187\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row5_col1188\" class=\"data row5 col1188\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row5_col1189\" class=\"data row5 col1189\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row5_col1190\" class=\"data row5 col1190\" >3.068000</td>\n",
       "      <td id=\"T_457a2_row5_col1191\" class=\"data row5 col1191\" >3.105000</td>\n",
       "      <td id=\"T_457a2_row5_col1192\" class=\"data row5 col1192\" >3.505000</td>\n",
       "      <td id=\"T_457a2_row5_col1193\" class=\"data row5 col1193\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row5_col1194\" class=\"data row5 col1194\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row5_col1195\" class=\"data row5 col1195\" >3.849000</td>\n",
       "      <td id=\"T_457a2_row5_col1196\" class=\"data row5 col1196\" >3.206000</td>\n",
       "      <td id=\"T_457a2_row5_col1197\" class=\"data row5 col1197\" >2.747000</td>\n",
       "      <td id=\"T_457a2_row5_col1198\" class=\"data row5 col1198\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row5_col1199\" class=\"data row5 col1199\" >2.898000</td>\n",
       "      <td id=\"T_457a2_row5_col1200\" class=\"data row5 col1200\" >2.660000</td>\n",
       "      <td id=\"T_457a2_row5_col1201\" class=\"data row5 col1201\" >3.031000</td>\n",
       "      <td id=\"T_457a2_row5_col1202\" class=\"data row5 col1202\" >2.269000</td>\n",
       "      <td id=\"T_457a2_row5_col1203\" class=\"data row5 col1203\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row5_col1204\" class=\"data row5 col1204\" >2.167000</td>\n",
       "      <td id=\"T_457a2_row5_col1205\" class=\"data row5 col1205\" >3.749000</td>\n",
       "      <td id=\"T_457a2_row5_col1206\" class=\"data row5 col1206\" >3.853000</td>\n",
       "      <td id=\"T_457a2_row5_col1207\" class=\"data row5 col1207\" >2.615000</td>\n",
       "      <td id=\"T_457a2_row5_col1208\" class=\"data row5 col1208\" >2.960000</td>\n",
       "      <td id=\"T_457a2_row5_col1209\" class=\"data row5 col1209\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row5_col1210\" class=\"data row5 col1210\" >2.712000</td>\n",
       "      <td id=\"T_457a2_row5_col1211\" class=\"data row5 col1211\" >3.053000</td>\n",
       "      <td id=\"T_457a2_row5_col1212\" class=\"data row5 col1212\" >2.794000</td>\n",
       "      <td id=\"T_457a2_row5_col1213\" class=\"data row5 col1213\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row5_col1214\" class=\"data row5 col1214\" >3.548000</td>\n",
       "      <td id=\"T_457a2_row5_col1215\" class=\"data row5 col1215\" >3.301000</td>\n",
       "      <td id=\"T_457a2_row5_col1216\" class=\"data row5 col1216\" >3.184000</td>\n",
       "      <td id=\"T_457a2_row5_col1217\" class=\"data row5 col1217\" >2.737000</td>\n",
       "      <td id=\"T_457a2_row5_col1218\" class=\"data row5 col1218\" >3.041000</td>\n",
       "      <td id=\"T_457a2_row5_col1219\" class=\"data row5 col1219\" >3.081000</td>\n",
       "      <td id=\"T_457a2_row5_col1220\" class=\"data row5 col1220\" >3.149000</td>\n",
       "      <td id=\"T_457a2_row5_col1221\" class=\"data row5 col1221\" >2.625000</td>\n",
       "      <td id=\"T_457a2_row5_col1222\" class=\"data row5 col1222\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row5_col1223\" class=\"data row5 col1223\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row5_col1224\" class=\"data row5 col1224\" >2.504000</td>\n",
       "      <td id=\"T_457a2_row5_col1225\" class=\"data row5 col1225\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row5_col1226\" class=\"data row5 col1226\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row5_col1227\" class=\"data row5 col1227\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row5_col1228\" class=\"data row5 col1228\" >2.436000</td>\n",
       "      <td id=\"T_457a2_row5_col1229\" class=\"data row5 col1229\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row5_col1230\" class=\"data row5 col1230\" >2.825000</td>\n",
       "      <td id=\"T_457a2_row5_col1231\" class=\"data row5 col1231\" >2.807000</td>\n",
       "      <td id=\"T_457a2_row5_col1232\" class=\"data row5 col1232\" >2.980000</td>\n",
       "      <td id=\"T_457a2_row5_col1233\" class=\"data row5 col1233\" >2.777000</td>\n",
       "      <td id=\"T_457a2_row5_col1234\" class=\"data row5 col1234\" >2.663000</td>\n",
       "      <td id=\"T_457a2_row5_col1235\" class=\"data row5 col1235\" >3.041000</td>\n",
       "      <td id=\"T_457a2_row5_col1236\" class=\"data row5 col1236\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row5_col1237\" class=\"data row5 col1237\" >2.559000</td>\n",
       "      <td id=\"T_457a2_row5_col1238\" class=\"data row5 col1238\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row5_col1239\" class=\"data row5 col1239\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row5_col1240\" class=\"data row5 col1240\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row5_col1241\" class=\"data row5 col1241\" >2.709000</td>\n",
       "      <td id=\"T_457a2_row5_col1242\" class=\"data row5 col1242\" >3.061000</td>\n",
       "      <td id=\"T_457a2_row5_col1243\" class=\"data row5 col1243\" >2.175000</td>\n",
       "      <td id=\"T_457a2_row5_col1244\" class=\"data row5 col1244\" >2.403000</td>\n",
       "      <td id=\"T_457a2_row5_col1245\" class=\"data row5 col1245\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row5_col1246\" class=\"data row5 col1246\" >3.152000</td>\n",
       "      <td id=\"T_457a2_row5_col1247\" class=\"data row5 col1247\" >2.925000</td>\n",
       "      <td id=\"T_457a2_row5_col1248\" class=\"data row5 col1248\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row5_col1249\" class=\"data row5 col1249\" >2.737000</td>\n",
       "      <td id=\"T_457a2_row5_col1250\" class=\"data row5 col1250\" >3.340000</td>\n",
       "      <td id=\"T_457a2_row5_col1251\" class=\"data row5 col1251\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row5_col1252\" class=\"data row5 col1252\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row5_col1253\" class=\"data row5 col1253\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row5_col1254\" class=\"data row5 col1254\" >2.680000</td>\n",
       "      <td id=\"T_457a2_row5_col1255\" class=\"data row5 col1255\" >3.305000</td>\n",
       "      <td id=\"T_457a2_row5_col1256\" class=\"data row5 col1256\" >2.775000</td>\n",
       "      <td id=\"T_457a2_row5_col1257\" class=\"data row5 col1257\" >2.376000</td>\n",
       "      <td id=\"T_457a2_row5_col1258\" class=\"data row5 col1258\" >3.207000</td>\n",
       "      <td id=\"T_457a2_row5_col1259\" class=\"data row5 col1259\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row5_col1260\" class=\"data row5 col1260\" >3.365000</td>\n",
       "      <td id=\"T_457a2_row5_col1261\" class=\"data row5 col1261\" >2.778000</td>\n",
       "      <td id=\"T_457a2_row5_col1262\" class=\"data row5 col1262\" >3.211000</td>\n",
       "      <td id=\"T_457a2_row5_col1263\" class=\"data row5 col1263\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row5_col1264\" class=\"data row5 col1264\" >1.786000</td>\n",
       "      <td id=\"T_457a2_row5_col1265\" class=\"data row5 col1265\" >2.299000</td>\n",
       "      <td id=\"T_457a2_row5_col1266\" class=\"data row5 col1266\" >2.474000</td>\n",
       "      <td id=\"T_457a2_row5_col1267\" class=\"data row5 col1267\" >2.091000</td>\n",
       "      <td id=\"T_457a2_row5_col1268\" class=\"data row5 col1268\" >2.257000</td>\n",
       "      <td id=\"T_457a2_row5_col1269\" class=\"data row5 col1269\" >2.438000</td>\n",
       "      <td id=\"T_457a2_row5_col1270\" class=\"data row5 col1270\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row5_col1271\" class=\"data row5 col1271\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row5_col1272\" class=\"data row5 col1272\" >1.894000</td>\n",
       "      <td id=\"T_457a2_row5_col1273\" class=\"data row5 col1273\" >2.607000</td>\n",
       "      <td id=\"T_457a2_row5_col1274\" class=\"data row5 col1274\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row5_col1275\" class=\"data row5 col1275\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row5_col1276\" class=\"data row5 col1276\" >2.464000</td>\n",
       "      <td id=\"T_457a2_row5_col1277\" class=\"data row5 col1277\" >2.227000</td>\n",
       "      <td id=\"T_457a2_row5_col1278\" class=\"data row5 col1278\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row5_col1279\" class=\"data row5 col1279\" >2.766000</td>\n",
       "      <td id=\"T_457a2_row5_col1280\" class=\"data row5 col1280\" >2.565000</td>\n",
       "      <td id=\"T_457a2_row5_col1281\" class=\"data row5 col1281\" >2.793000</td>\n",
       "      <td id=\"T_457a2_row5_col1282\" class=\"data row5 col1282\" >2.699000</td>\n",
       "      <td id=\"T_457a2_row5_col1283\" class=\"data row5 col1283\" >2.215000</td>\n",
       "      <td id=\"T_457a2_row5_col1284\" class=\"data row5 col1284\" >3.131000</td>\n",
       "      <td id=\"T_457a2_row5_col1285\" class=\"data row5 col1285\" >2.981000</td>\n",
       "      <td id=\"T_457a2_row5_col1286\" class=\"data row5 col1286\" >2.629000</td>\n",
       "      <td id=\"T_457a2_row5_col1287\" class=\"data row5 col1287\" >1.938000</td>\n",
       "      <td id=\"T_457a2_row5_col1288\" class=\"data row5 col1288\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row5_col1289\" class=\"data row5 col1289\" >3.092000</td>\n",
       "      <td id=\"T_457a2_row5_col1290\" class=\"data row5 col1290\" >3.093000</td>\n",
       "      <td id=\"T_457a2_row5_col1291\" class=\"data row5 col1291\" >2.900000</td>\n",
       "      <td id=\"T_457a2_row5_col1292\" class=\"data row5 col1292\" >2.568000</td>\n",
       "      <td id=\"T_457a2_row5_col1293\" class=\"data row5 col1293\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row5_col1294\" class=\"data row5 col1294\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row5_col1295\" class=\"data row5 col1295\" >3.225000</td>\n",
       "      <td id=\"T_457a2_row5_col1296\" class=\"data row5 col1296\" >3.374000</td>\n",
       "      <td id=\"T_457a2_row5_col1297\" class=\"data row5 col1297\" >3.582000</td>\n",
       "      <td id=\"T_457a2_row5_col1298\" class=\"data row5 col1298\" >2.688000</td>\n",
       "      <td id=\"T_457a2_row5_col1299\" class=\"data row5 col1299\" >2.735000</td>\n",
       "      <td id=\"T_457a2_row5_col1300\" class=\"data row5 col1300\" >2.469000</td>\n",
       "      <td id=\"T_457a2_row5_col1301\" class=\"data row5 col1301\" >2.528000</td>\n",
       "      <td id=\"T_457a2_row5_col1302\" class=\"data row5 col1302\" >2.386000</td>\n",
       "      <td id=\"T_457a2_row5_col1303\" class=\"data row5 col1303\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row5_col1304\" class=\"data row5 col1304\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row5_col1305\" class=\"data row5 col1305\" >2.767000</td>\n",
       "      <td id=\"T_457a2_row5_col1306\" class=\"data row5 col1306\" >2.937000</td>\n",
       "      <td id=\"T_457a2_row5_col1307\" class=\"data row5 col1307\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row5_col1308\" class=\"data row5 col1308\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row5_col1309\" class=\"data row5 col1309\" >2.687000</td>\n",
       "      <td id=\"T_457a2_row5_col1310\" class=\"data row5 col1310\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row5_col1311\" class=\"data row5 col1311\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row5_col1312\" class=\"data row5 col1312\" >2.503000</td>\n",
       "      <td id=\"T_457a2_row5_col1313\" class=\"data row5 col1313\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row5_col1314\" class=\"data row5 col1314\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row5_col1315\" class=\"data row5 col1315\" >2.360000</td>\n",
       "      <td id=\"T_457a2_row5_col1316\" class=\"data row5 col1316\" >2.088000</td>\n",
       "      <td id=\"T_457a2_row5_col1317\" class=\"data row5 col1317\" >3.008000</td>\n",
       "      <td id=\"T_457a2_row5_col1318\" class=\"data row5 col1318\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row5_col1319\" class=\"data row5 col1319\" >3.093000</td>\n",
       "      <td id=\"T_457a2_row5_col1320\" class=\"data row5 col1320\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row5_col1321\" class=\"data row5 col1321\" >2.206000</td>\n",
       "      <td id=\"T_457a2_row5_col1322\" class=\"data row5 col1322\" >3.051000</td>\n",
       "      <td id=\"T_457a2_row5_col1323\" class=\"data row5 col1323\" >2.381000</td>\n",
       "      <td id=\"T_457a2_row5_col1324\" class=\"data row5 col1324\" >2.659000</td>\n",
       "      <td id=\"T_457a2_row5_col1325\" class=\"data row5 col1325\" >2.804000</td>\n",
       "      <td id=\"T_457a2_row5_col1326\" class=\"data row5 col1326\" >3.267000</td>\n",
       "      <td id=\"T_457a2_row5_col1327\" class=\"data row5 col1327\" >2.368000</td>\n",
       "      <td id=\"T_457a2_row5_col1328\" class=\"data row5 col1328\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row5_col1329\" class=\"data row5 col1329\" >2.982000</td>\n",
       "      <td id=\"T_457a2_row5_col1330\" class=\"data row5 col1330\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row5_col1331\" class=\"data row5 col1331\" >2.525000</td>\n",
       "      <td id=\"T_457a2_row5_col1332\" class=\"data row5 col1332\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row5_col1333\" class=\"data row5 col1333\" >2.944000</td>\n",
       "      <td id=\"T_457a2_row5_col1334\" class=\"data row5 col1334\" >2.986000</td>\n",
       "      <td id=\"T_457a2_row5_col1335\" class=\"data row5 col1335\" >2.796000</td>\n",
       "      <td id=\"T_457a2_row5_col1336\" class=\"data row5 col1336\" >2.587000</td>\n",
       "      <td id=\"T_457a2_row5_col1337\" class=\"data row5 col1337\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row5_col1338\" class=\"data row5 col1338\" >2.681000</td>\n",
       "      <td id=\"T_457a2_row5_col1339\" class=\"data row5 col1339\" >3.252000</td>\n",
       "      <td id=\"T_457a2_row5_col1340\" class=\"data row5 col1340\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row5_col1341\" class=\"data row5 col1341\" >2.872000</td>\n",
       "      <td id=\"T_457a2_row5_col1342\" class=\"data row5 col1342\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row5_col1343\" class=\"data row5 col1343\" >2.707000</td>\n",
       "      <td id=\"T_457a2_row5_col1344\" class=\"data row5 col1344\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row5_col1345\" class=\"data row5 col1345\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row5_col1346\" class=\"data row5 col1346\" >2.745000</td>\n",
       "      <td id=\"T_457a2_row5_col1347\" class=\"data row5 col1347\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row5_col1348\" class=\"data row5 col1348\" >3.072000</td>\n",
       "      <td id=\"T_457a2_row5_col1349\" class=\"data row5 col1349\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row5_col1350\" class=\"data row5 col1350\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row5_col1351\" class=\"data row5 col1351\" >2.792000</td>\n",
       "      <td id=\"T_457a2_row5_col1352\" class=\"data row5 col1352\" >2.213000</td>\n",
       "      <td id=\"T_457a2_row5_col1353\" class=\"data row5 col1353\" >2.946000</td>\n",
       "      <td id=\"T_457a2_row5_col1354\" class=\"data row5 col1354\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row5_col1355\" class=\"data row5 col1355\" >2.884000</td>\n",
       "      <td id=\"T_457a2_row5_col1356\" class=\"data row5 col1356\" >2.126000</td>\n",
       "      <td id=\"T_457a2_row5_col1357\" class=\"data row5 col1357\" >3.141000</td>\n",
       "      <td id=\"T_457a2_row5_col1358\" class=\"data row5 col1358\" >2.396000</td>\n",
       "      <td id=\"T_457a2_row5_col1359\" class=\"data row5 col1359\" >2.736000</td>\n",
       "      <td id=\"T_457a2_row5_col1360\" class=\"data row5 col1360\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row5_col1361\" class=\"data row5 col1361\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row5_col1362\" class=\"data row5 col1362\" >3.193000</td>\n",
       "      <td id=\"T_457a2_row5_col1363\" class=\"data row5 col1363\" >2.806000</td>\n",
       "      <td id=\"T_457a2_row5_col1364\" class=\"data row5 col1364\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row5_col1365\" class=\"data row5 col1365\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row5_col1366\" class=\"data row5 col1366\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row5_col1367\" class=\"data row5 col1367\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row5_col1368\" class=\"data row5 col1368\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row5_col1369\" class=\"data row5 col1369\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row5_col1370\" class=\"data row5 col1370\" >2.880000</td>\n",
       "      <td id=\"T_457a2_row5_col1371\" class=\"data row5 col1371\" >3.008000</td>\n",
       "      <td id=\"T_457a2_row5_col1372\" class=\"data row5 col1372\" >3.116000</td>\n",
       "      <td id=\"T_457a2_row5_col1373\" class=\"data row5 col1373\" >2.531000</td>\n",
       "      <td id=\"T_457a2_row5_col1374\" class=\"data row5 col1374\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row5_col1375\" class=\"data row5 col1375\" >3.497000</td>\n",
       "      <td id=\"T_457a2_row5_col1376\" class=\"data row5 col1376\" >3.211000</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_457a2_row6_col970\" class=\"data row6 col970\" >458.760000</td>\n",
       "      <td id=\"T_457a2_row6_col971\" class=\"data row6 col971\" >659.750000</td>\n",
       "      <td id=\"T_457a2_row6_col972\" class=\"data row6 col972\" >1165.400000</td>\n",
       "      <td id=\"T_457a2_row6_col973\" class=\"data row6 col973\" >661.480000</td>\n",
       "      <td id=\"T_457a2_row6_col974\" class=\"data row6 col974\" >667.720000</td>\n",
       "      <td id=\"T_457a2_row6_col975\" class=\"data row6 col975\" >496.070000</td>\n",
       "      <td id=\"T_457a2_row6_col976\" class=\"data row6 col976\" >485.130000</td>\n",
       "      <td id=\"T_457a2_row6_col977\" class=\"data row6 col977\" >670.230000</td>\n",
       "      <td id=\"T_457a2_row6_col978\" class=\"data row6 col978\" >560.360000</td>\n",
       "      <td id=\"T_457a2_row6_col979\" class=\"data row6 col979\" >398.270000</td>\n",
       "      <td id=\"T_457a2_row6_col980\" class=\"data row6 col980\" >759.260000</td>\n",
       "      <td id=\"T_457a2_row6_col981\" class=\"data row6 col981\" >680.190000</td>\n",
       "      <td id=\"T_457a2_row6_col982\" class=\"data row6 col982\" >235.100000</td>\n",
       "      <td id=\"T_457a2_row6_col983\" class=\"data row6 col983\" >173.780000</td>\n",
       "      <td id=\"T_457a2_row6_col984\" class=\"data row6 col984\" >471.070000</td>\n",
       "      <td id=\"T_457a2_row6_col985\" class=\"data row6 col985\" >693.050000</td>\n",
       "      <td id=\"T_457a2_row6_col986\" class=\"data row6 col986\" >485.550000</td>\n",
       "      <td id=\"T_457a2_row6_col987\" class=\"data row6 col987\" >667.990000</td>\n",
       "      <td id=\"T_457a2_row6_col988\" class=\"data row6 col988\" >406.510000</td>\n",
       "      <td id=\"T_457a2_row6_col989\" class=\"data row6 col989\" >1169.300000</td>\n",
       "      <td id=\"T_457a2_row6_col990\" class=\"data row6 col990\" >630.670000</td>\n",
       "      <td id=\"T_457a2_row6_col991\" class=\"data row6 col991\" >372.940000</td>\n",
       "      <td id=\"T_457a2_row6_col992\" class=\"data row6 col992\" >432.650000</td>\n",
       "      <td id=\"T_457a2_row6_col993\" class=\"data row6 col993\" >548.390000</td>\n",
       "      <td id=\"T_457a2_row6_col994\" class=\"data row6 col994\" >811.860000</td>\n",
       "      <td id=\"T_457a2_row6_col995\" class=\"data row6 col995\" >403.430000</td>\n",
       "      <td id=\"T_457a2_row6_col996\" class=\"data row6 col996\" >695.530000</td>\n",
       "      <td id=\"T_457a2_row6_col997\" class=\"data row6 col997\" >348.910000</td>\n",
       "      <td id=\"T_457a2_row6_col998\" class=\"data row6 col998\" >426.800000</td>\n",
       "      <td id=\"T_457a2_row6_col999\" class=\"data row6 col999\" >607.560000</td>\n",
       "      <td id=\"T_457a2_row6_col1000\" class=\"data row6 col1000\" >222.410000</td>\n",
       "      <td id=\"T_457a2_row6_col1001\" class=\"data row6 col1001\" >218.200000</td>\n",
       "      <td id=\"T_457a2_row6_col1002\" class=\"data row6 col1002\" >252.610000</td>\n",
       "      <td id=\"T_457a2_row6_col1003\" class=\"data row6 col1003\" >414.930000</td>\n",
       "      <td id=\"T_457a2_row6_col1004\" class=\"data row6 col1004\" >210.930000</td>\n",
       "      <td id=\"T_457a2_row6_col1005\" class=\"data row6 col1005\" >170.670000</td>\n",
       "      <td id=\"T_457a2_row6_col1006\" class=\"data row6 col1006\" >127.010000</td>\n",
       "      <td id=\"T_457a2_row6_col1007\" class=\"data row6 col1007\" >341.820000</td>\n",
       "      <td id=\"T_457a2_row6_col1008\" class=\"data row6 col1008\" >262.430000</td>\n",
       "      <td id=\"T_457a2_row6_col1009\" class=\"data row6 col1009\" >360.830000</td>\n",
       "      <td id=\"T_457a2_row6_col1010\" class=\"data row6 col1010\" >301.690000</td>\n",
       "      <td id=\"T_457a2_row6_col1011\" class=\"data row6 col1011\" >400.180000</td>\n",
       "      <td id=\"T_457a2_row6_col1012\" class=\"data row6 col1012\" >278.480000</td>\n",
       "      <td id=\"T_457a2_row6_col1013\" class=\"data row6 col1013\" >323.740000</td>\n",
       "      <td id=\"T_457a2_row6_col1014\" class=\"data row6 col1014\" >386.410000</td>\n",
       "      <td id=\"T_457a2_row6_col1015\" class=\"data row6 col1015\" >223.790000</td>\n",
       "      <td id=\"T_457a2_row6_col1016\" class=\"data row6 col1016\" >178.720000</td>\n",
       "      <td id=\"T_457a2_row6_col1017\" class=\"data row6 col1017\" >145.590000</td>\n",
       "      <td id=\"T_457a2_row6_col1018\" class=\"data row6 col1018\" >172.590000</td>\n",
       "      <td id=\"T_457a2_row6_col1019\" class=\"data row6 col1019\" >682.210000</td>\n",
       "      <td id=\"T_457a2_row6_col1020\" class=\"data row6 col1020\" >807.580000</td>\n",
       "      <td id=\"T_457a2_row6_col1021\" class=\"data row6 col1021\" >216.600000</td>\n",
       "      <td id=\"T_457a2_row6_col1022\" class=\"data row6 col1022\" >295.870000</td>\n",
       "      <td id=\"T_457a2_row6_col1023\" class=\"data row6 col1023\" >486.920000</td>\n",
       "      <td id=\"T_457a2_row6_col1024\" class=\"data row6 col1024\" >195.580000</td>\n",
       "      <td id=\"T_457a2_row6_col1025\" class=\"data row6 col1025\" >839.050000</td>\n",
       "      <td id=\"T_457a2_row6_col1026\" class=\"data row6 col1026\" >242.810000</td>\n",
       "      <td id=\"T_457a2_row6_col1027\" class=\"data row6 col1027\" >379.950000</td>\n",
       "      <td id=\"T_457a2_row6_col1028\" class=\"data row6 col1028\" >558.010000</td>\n",
       "      <td id=\"T_457a2_row6_col1029\" class=\"data row6 col1029\" >267.080000</td>\n",
       "      <td id=\"T_457a2_row6_col1030\" class=\"data row6 col1030\" >212.510000</td>\n",
       "      <td id=\"T_457a2_row6_col1031\" class=\"data row6 col1031\" >548.120000</td>\n",
       "      <td id=\"T_457a2_row6_col1032\" class=\"data row6 col1032\" >515.330000</td>\n",
       "      <td id=\"T_457a2_row6_col1033\" class=\"data row6 col1033\" >441.290000</td>\n",
       "      <td id=\"T_457a2_row6_col1034\" class=\"data row6 col1034\" >1235.400000</td>\n",
       "      <td id=\"T_457a2_row6_col1035\" class=\"data row6 col1035\" >429.710000</td>\n",
       "      <td id=\"T_457a2_row6_col1036\" class=\"data row6 col1036\" >964.280000</td>\n",
       "      <td id=\"T_457a2_row6_col1037\" class=\"data row6 col1037\" >1066.800000</td>\n",
       "      <td id=\"T_457a2_row6_col1038\" class=\"data row6 col1038\" >1204.500000</td>\n",
       "      <td id=\"T_457a2_row6_col1039\" class=\"data row6 col1039\" >692.340000</td>\n",
       "      <td id=\"T_457a2_row6_col1040\" class=\"data row6 col1040\" >722.940000</td>\n",
       "      <td id=\"T_457a2_row6_col1041\" class=\"data row6 col1041\" >650.700000</td>\n",
       "      <td id=\"T_457a2_row6_col1042\" class=\"data row6 col1042\" >881.430000</td>\n",
       "      <td id=\"T_457a2_row6_col1043\" class=\"data row6 col1043\" >665.220000</td>\n",
       "      <td id=\"T_457a2_row6_col1044\" class=\"data row6 col1044\" >433.860000</td>\n",
       "      <td id=\"T_457a2_row6_col1045\" class=\"data row6 col1045\" >539.790000</td>\n",
       "      <td id=\"T_457a2_row6_col1046\" class=\"data row6 col1046\" >565.330000</td>\n",
       "      <td id=\"T_457a2_row6_col1047\" class=\"data row6 col1047\" >564.080000</td>\n",
       "      <td id=\"T_457a2_row6_col1048\" class=\"data row6 col1048\" >666.800000</td>\n",
       "      <td id=\"T_457a2_row6_col1049\" class=\"data row6 col1049\" >322.300000</td>\n",
       "      <td id=\"T_457a2_row6_col1050\" class=\"data row6 col1050\" >352.900000</td>\n",
       "      <td id=\"T_457a2_row6_col1051\" class=\"data row6 col1051\" >682.640000</td>\n",
       "      <td id=\"T_457a2_row6_col1052\" class=\"data row6 col1052\" >1296.400000</td>\n",
       "      <td id=\"T_457a2_row6_col1053\" class=\"data row6 col1053\" >1369.500000</td>\n",
       "      <td id=\"T_457a2_row6_col1054\" class=\"data row6 col1054\" >926.300000</td>\n",
       "      <td id=\"T_457a2_row6_col1055\" class=\"data row6 col1055\" >180.540000</td>\n",
       "      <td id=\"T_457a2_row6_col1056\" class=\"data row6 col1056\" >259.400000</td>\n",
       "      <td id=\"T_457a2_row6_col1057\" class=\"data row6 col1057\" >172.930000</td>\n",
       "      <td id=\"T_457a2_row6_col1058\" class=\"data row6 col1058\" >172.690000</td>\n",
       "      <td id=\"T_457a2_row6_col1059\" class=\"data row6 col1059\" >146.940000</td>\n",
       "      <td id=\"T_457a2_row6_col1060\" class=\"data row6 col1060\" >343.230000</td>\n",
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       "      <td id=\"T_457a2_row6_col1062\" class=\"data row6 col1062\" >267.340000</td>\n",
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       "      <td id=\"T_457a2_row6_col1064\" class=\"data row6 col1064\" >472.060000</td>\n",
       "      <td id=\"T_457a2_row6_col1065\" class=\"data row6 col1065\" >162.880000</td>\n",
       "      <td id=\"T_457a2_row6_col1066\" class=\"data row6 col1066\" >393.480000</td>\n",
       "      <td id=\"T_457a2_row6_col1067\" class=\"data row6 col1067\" >152.690000</td>\n",
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       "      <td id=\"T_457a2_row6_col1070\" class=\"data row6 col1070\" >338.390000</td>\n",
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       "      <td id=\"T_457a2_row6_col1072\" class=\"data row6 col1072\" >498.620000</td>\n",
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       "      <td id=\"T_457a2_row6_col1167\" class=\"data row6 col1167\" >2.501000</td>\n",
       "      <td id=\"T_457a2_row6_col1168\" class=\"data row6 col1168\" >2.260000</td>\n",
       "      <td id=\"T_457a2_row6_col1169\" class=\"data row6 col1169\" >2.217000</td>\n",
       "      <td id=\"T_457a2_row6_col1170\" class=\"data row6 col1170\" >2.433000</td>\n",
       "      <td id=\"T_457a2_row6_col1171\" class=\"data row6 col1171\" >2.788000</td>\n",
       "      <td id=\"T_457a2_row6_col1172\" class=\"data row6 col1172\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row6_col1173\" class=\"data row6 col1173\" >2.562000</td>\n",
       "      <td id=\"T_457a2_row6_col1174\" class=\"data row6 col1174\" >2.514000</td>\n",
       "      <td id=\"T_457a2_row6_col1175\" class=\"data row6 col1175\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row6_col1176\" class=\"data row6 col1176\" >1.984000</td>\n",
       "      <td id=\"T_457a2_row6_col1177\" class=\"data row6 col1177\" >2.972000</td>\n",
       "      <td id=\"T_457a2_row6_col1178\" class=\"data row6 col1178\" >2.116000</td>\n",
       "      <td id=\"T_457a2_row6_col1179\" class=\"data row6 col1179\" >2.122000</td>\n",
       "      <td id=\"T_457a2_row6_col1180\" class=\"data row6 col1180\" >2.160000</td>\n",
       "      <td id=\"T_457a2_row6_col1181\" class=\"data row6 col1181\" >1.933000</td>\n",
       "      <td id=\"T_457a2_row6_col1182\" class=\"data row6 col1182\" >2.950000</td>\n",
       "      <td id=\"T_457a2_row6_col1183\" class=\"data row6 col1183\" >2.965000</td>\n",
       "      <td id=\"T_457a2_row6_col1184\" class=\"data row6 col1184\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row6_col1185\" class=\"data row6 col1185\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row6_col1186\" class=\"data row6 col1186\" >2.454000</td>\n",
       "      <td id=\"T_457a2_row6_col1187\" class=\"data row6 col1187\" >2.204000</td>\n",
       "      <td id=\"T_457a2_row6_col1188\" class=\"data row6 col1188\" >2.721000</td>\n",
       "      <td id=\"T_457a2_row6_col1189\" class=\"data row6 col1189\" >3.817000</td>\n",
       "      <td id=\"T_457a2_row6_col1190\" class=\"data row6 col1190\" >2.609000</td>\n",
       "      <td id=\"T_457a2_row6_col1191\" class=\"data row6 col1191\" >3.036000</td>\n",
       "      <td id=\"T_457a2_row6_col1192\" class=\"data row6 col1192\" >3.257000</td>\n",
       "      <td id=\"T_457a2_row6_col1193\" class=\"data row6 col1193\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row6_col1194\" class=\"data row6 col1194\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row6_col1195\" class=\"data row6 col1195\" >3.890000</td>\n",
       "      <td id=\"T_457a2_row6_col1196\" class=\"data row6 col1196\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row6_col1197\" class=\"data row6 col1197\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row6_col1198\" class=\"data row6 col1198\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row6_col1199\" class=\"data row6 col1199\" >2.613000</td>\n",
       "      <td id=\"T_457a2_row6_col1200\" class=\"data row6 col1200\" >2.225000</td>\n",
       "      <td id=\"T_457a2_row6_col1201\" class=\"data row6 col1201\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row6_col1202\" class=\"data row6 col1202\" >1.936000</td>\n",
       "      <td id=\"T_457a2_row6_col1203\" class=\"data row6 col1203\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row6_col1204\" class=\"data row6 col1204\" >2.231000</td>\n",
       "      <td id=\"T_457a2_row6_col1205\" class=\"data row6 col1205\" >2.832000</td>\n",
       "      <td id=\"T_457a2_row6_col1206\" class=\"data row6 col1206\" >2.775000</td>\n",
       "      <td id=\"T_457a2_row6_col1207\" class=\"data row6 col1207\" >2.368000</td>\n",
       "      <td id=\"T_457a2_row6_col1208\" class=\"data row6 col1208\" >3.235000</td>\n",
       "      <td id=\"T_457a2_row6_col1209\" class=\"data row6 col1209\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row6_col1210\" class=\"data row6 col1210\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row6_col1211\" class=\"data row6 col1211\" >2.530000</td>\n",
       "      <td id=\"T_457a2_row6_col1212\" class=\"data row6 col1212\" >2.403000</td>\n",
       "      <td id=\"T_457a2_row6_col1213\" class=\"data row6 col1213\" >2.329000</td>\n",
       "      <td id=\"T_457a2_row6_col1214\" class=\"data row6 col1214\" >3.281000</td>\n",
       "      <td id=\"T_457a2_row6_col1215\" class=\"data row6 col1215\" >3.044000</td>\n",
       "      <td id=\"T_457a2_row6_col1216\" class=\"data row6 col1216\" >2.984000</td>\n",
       "      <td id=\"T_457a2_row6_col1217\" class=\"data row6 col1217\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row6_col1218\" class=\"data row6 col1218\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row6_col1219\" class=\"data row6 col1219\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row6_col1220\" class=\"data row6 col1220\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row6_col1221\" class=\"data row6 col1221\" >2.467000</td>\n",
       "      <td id=\"T_457a2_row6_col1222\" class=\"data row6 col1222\" >2.334000</td>\n",
       "      <td id=\"T_457a2_row6_col1223\" class=\"data row6 col1223\" >2.349000</td>\n",
       "      <td id=\"T_457a2_row6_col1224\" class=\"data row6 col1224\" >2.365000</td>\n",
       "      <td id=\"T_457a2_row6_col1225\" class=\"data row6 col1225\" >2.126000</td>\n",
       "      <td id=\"T_457a2_row6_col1226\" class=\"data row6 col1226\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row6_col1227\" class=\"data row6 col1227\" >2.155000</td>\n",
       "      <td id=\"T_457a2_row6_col1228\" class=\"data row6 col1228\" >2.252000</td>\n",
       "      <td id=\"T_457a2_row6_col1229\" class=\"data row6 col1229\" >2.292000</td>\n",
       "      <td id=\"T_457a2_row6_col1230\" class=\"data row6 col1230\" >3.199000</td>\n",
       "      <td id=\"T_457a2_row6_col1231\" class=\"data row6 col1231\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row6_col1232\" class=\"data row6 col1232\" >2.702000</td>\n",
       "      <td id=\"T_457a2_row6_col1233\" class=\"data row6 col1233\" >2.387000</td>\n",
       "      <td id=\"T_457a2_row6_col1234\" class=\"data row6 col1234\" >2.692000</td>\n",
       "      <td id=\"T_457a2_row6_col1235\" class=\"data row6 col1235\" >2.336000</td>\n",
       "      <td id=\"T_457a2_row6_col1236\" class=\"data row6 col1236\" >3.116000</td>\n",
       "      <td id=\"T_457a2_row6_col1237\" class=\"data row6 col1237\" >2.328000</td>\n",
       "      <td id=\"T_457a2_row6_col1238\" class=\"data row6 col1238\" >2.482000</td>\n",
       "      <td id=\"T_457a2_row6_col1239\" class=\"data row6 col1239\" >2.325000</td>\n",
       "      <td id=\"T_457a2_row6_col1240\" class=\"data row6 col1240\" >2.757000</td>\n",
       "      <td id=\"T_457a2_row6_col1241\" class=\"data row6 col1241\" >2.400000</td>\n",
       "      <td id=\"T_457a2_row6_col1242\" class=\"data row6 col1242\" >2.564000</td>\n",
       "      <td id=\"T_457a2_row6_col1243\" class=\"data row6 col1243\" >2.040000</td>\n",
       "      <td id=\"T_457a2_row6_col1244\" class=\"data row6 col1244\" >2.135000</td>\n",
       "      <td id=\"T_457a2_row6_col1245\" class=\"data row6 col1245\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row6_col1246\" class=\"data row6 col1246\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row6_col1247\" class=\"data row6 col1247\" >3.144000</td>\n",
       "      <td id=\"T_457a2_row6_col1248\" class=\"data row6 col1248\" >2.174000</td>\n",
       "      <td id=\"T_457a2_row6_col1249\" class=\"data row6 col1249\" >2.976000</td>\n",
       "      <td id=\"T_457a2_row6_col1250\" class=\"data row6 col1250\" >3.386000</td>\n",
       "      <td id=\"T_457a2_row6_col1251\" class=\"data row6 col1251\" >2.243000</td>\n",
       "      <td id=\"T_457a2_row6_col1252\" class=\"data row6 col1252\" >2.393000</td>\n",
       "      <td id=\"T_457a2_row6_col1253\" class=\"data row6 col1253\" >2.249000</td>\n",
       "      <td id=\"T_457a2_row6_col1254\" class=\"data row6 col1254\" >2.480000</td>\n",
       "      <td id=\"T_457a2_row6_col1255\" class=\"data row6 col1255\" >3.004000</td>\n",
       "      <td id=\"T_457a2_row6_col1256\" class=\"data row6 col1256\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row6_col1257\" class=\"data row6 col1257\" >1.954000</td>\n",
       "      <td id=\"T_457a2_row6_col1258\" class=\"data row6 col1258\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row6_col1259\" class=\"data row6 col1259\" >2.081000</td>\n",
       "      <td id=\"T_457a2_row6_col1260\" class=\"data row6 col1260\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row6_col1261\" class=\"data row6 col1261\" >2.805000</td>\n",
       "      <td id=\"T_457a2_row6_col1262\" class=\"data row6 col1262\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row6_col1263\" class=\"data row6 col1263\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row6_col1264\" class=\"data row6 col1264\" >1.984000</td>\n",
       "      <td id=\"T_457a2_row6_col1265\" class=\"data row6 col1265\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row6_col1266\" class=\"data row6 col1266\" >1.727000</td>\n",
       "      <td id=\"T_457a2_row6_col1267\" class=\"data row6 col1267\" >1.981000</td>\n",
       "      <td id=\"T_457a2_row6_col1268\" class=\"data row6 col1268\" >2.030000</td>\n",
       "      <td id=\"T_457a2_row6_col1269\" class=\"data row6 col1269\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row6_col1270\" class=\"data row6 col1270\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row6_col1271\" class=\"data row6 col1271\" >2.293000</td>\n",
       "      <td id=\"T_457a2_row6_col1272\" class=\"data row6 col1272\" >1.560000</td>\n",
       "      <td id=\"T_457a2_row6_col1273\" class=\"data row6 col1273\" >2.333000</td>\n",
       "      <td id=\"T_457a2_row6_col1274\" class=\"data row6 col1274\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row6_col1275\" class=\"data row6 col1275\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row6_col1276\" class=\"data row6 col1276\" >1.922000</td>\n",
       "      <td id=\"T_457a2_row6_col1277\" class=\"data row6 col1277\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row6_col1278\" class=\"data row6 col1278\" >1.948000</td>\n",
       "      <td id=\"T_457a2_row6_col1279\" class=\"data row6 col1279\" >1.926000</td>\n",
       "      <td id=\"T_457a2_row6_col1280\" class=\"data row6 col1280\" >1.895000</td>\n",
       "      <td id=\"T_457a2_row6_col1281\" class=\"data row6 col1281\" >2.671000</td>\n",
       "      <td id=\"T_457a2_row6_col1282\" class=\"data row6 col1282\" >1.647000</td>\n",
       "      <td id=\"T_457a2_row6_col1283\" class=\"data row6 col1283\" >2.474000</td>\n",
       "      <td id=\"T_457a2_row6_col1284\" class=\"data row6 col1284\" >2.762000</td>\n",
       "      <td id=\"T_457a2_row6_col1285\" class=\"data row6 col1285\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row6_col1286\" class=\"data row6 col1286\" >2.237000</td>\n",
       "      <td id=\"T_457a2_row6_col1287\" class=\"data row6 col1287\" >1.986000</td>\n",
       "      <td id=\"T_457a2_row6_col1288\" class=\"data row6 col1288\" >3.257000</td>\n",
       "      <td id=\"T_457a2_row6_col1289\" class=\"data row6 col1289\" >1.833000</td>\n",
       "      <td id=\"T_457a2_row6_col1290\" class=\"data row6 col1290\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row6_col1291\" class=\"data row6 col1291\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row6_col1292\" class=\"data row6 col1292\" >2.451000</td>\n",
       "      <td id=\"T_457a2_row6_col1293\" class=\"data row6 col1293\" >2.224000</td>\n",
       "      <td id=\"T_457a2_row6_col1294\" class=\"data row6 col1294\" >2.691000</td>\n",
       "      <td id=\"T_457a2_row6_col1295\" class=\"data row6 col1295\" >3.144000</td>\n",
       "      <td id=\"T_457a2_row6_col1296\" class=\"data row6 col1296\" >2.637000</td>\n",
       "      <td id=\"T_457a2_row6_col1297\" class=\"data row6 col1297\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row6_col1298\" class=\"data row6 col1298\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row6_col1299\" class=\"data row6 col1299\" >2.520000</td>\n",
       "      <td id=\"T_457a2_row6_col1300\" class=\"data row6 col1300\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row6_col1301\" class=\"data row6 col1301\" >2.530000</td>\n",
       "      <td id=\"T_457a2_row6_col1302\" class=\"data row6 col1302\" >2.458000</td>\n",
       "      <td id=\"T_457a2_row6_col1303\" class=\"data row6 col1303\" >2.715000</td>\n",
       "      <td id=\"T_457a2_row6_col1304\" class=\"data row6 col1304\" >2.618000</td>\n",
       "      <td id=\"T_457a2_row6_col1305\" class=\"data row6 col1305\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row6_col1306\" class=\"data row6 col1306\" >2.466000</td>\n",
       "      <td id=\"T_457a2_row6_col1307\" class=\"data row6 col1307\" >2.095000</td>\n",
       "      <td id=\"T_457a2_row6_col1308\" class=\"data row6 col1308\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row6_col1309\" class=\"data row6 col1309\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row6_col1310\" class=\"data row6 col1310\" >2.605000</td>\n",
       "      <td id=\"T_457a2_row6_col1311\" class=\"data row6 col1311\" >2.211000</td>\n",
       "      <td id=\"T_457a2_row6_col1312\" class=\"data row6 col1312\" >2.679000</td>\n",
       "      <td id=\"T_457a2_row6_col1313\" class=\"data row6 col1313\" >2.276000</td>\n",
       "      <td id=\"T_457a2_row6_col1314\" class=\"data row6 col1314\" >2.325000</td>\n",
       "      <td id=\"T_457a2_row6_col1315\" class=\"data row6 col1315\" >2.091000</td>\n",
       "      <td id=\"T_457a2_row6_col1316\" class=\"data row6 col1316\" >1.763000</td>\n",
       "      <td id=\"T_457a2_row6_col1317\" class=\"data row6 col1317\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row6_col1318\" class=\"data row6 col1318\" >2.280000</td>\n",
       "      <td id=\"T_457a2_row6_col1319\" class=\"data row6 col1319\" >3.175000</td>\n",
       "      <td id=\"T_457a2_row6_col1320\" class=\"data row6 col1320\" >3.002000</td>\n",
       "      <td id=\"T_457a2_row6_col1321\" class=\"data row6 col1321\" >2.865000</td>\n",
       "      <td id=\"T_457a2_row6_col1322\" class=\"data row6 col1322\" >3.283000</td>\n",
       "      <td id=\"T_457a2_row6_col1323\" class=\"data row6 col1323\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row6_col1324\" class=\"data row6 col1324\" >2.972000</td>\n",
       "      <td id=\"T_457a2_row6_col1325\" class=\"data row6 col1325\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row6_col1326\" class=\"data row6 col1326\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row6_col1327\" class=\"data row6 col1327\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row6_col1328\" class=\"data row6 col1328\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row6_col1329\" class=\"data row6 col1329\" >2.897000</td>\n",
       "      <td id=\"T_457a2_row6_col1330\" class=\"data row6 col1330\" >1.873000</td>\n",
       "      <td id=\"T_457a2_row6_col1331\" class=\"data row6 col1331\" >1.930000</td>\n",
       "      <td id=\"T_457a2_row6_col1332\" class=\"data row6 col1332\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row6_col1333\" class=\"data row6 col1333\" >1.611000</td>\n",
       "      <td id=\"T_457a2_row6_col1334\" class=\"data row6 col1334\" >2.118000</td>\n",
       "      <td id=\"T_457a2_row6_col1335\" class=\"data row6 col1335\" >2.653000</td>\n",
       "      <td id=\"T_457a2_row6_col1336\" class=\"data row6 col1336\" >2.250000</td>\n",
       "      <td id=\"T_457a2_row6_col1337\" class=\"data row6 col1337\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row6_col1338\" class=\"data row6 col1338\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row6_col1339\" class=\"data row6 col1339\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row6_col1340\" class=\"data row6 col1340\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row6_col1341\" class=\"data row6 col1341\" >2.625000</td>\n",
       "      <td id=\"T_457a2_row6_col1342\" class=\"data row6 col1342\" >2.099000</td>\n",
       "      <td id=\"T_457a2_row6_col1343\" class=\"data row6 col1343\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row6_col1344\" class=\"data row6 col1344\" >2.481000</td>\n",
       "      <td id=\"T_457a2_row6_col1345\" class=\"data row6 col1345\" >2.507000</td>\n",
       "      <td id=\"T_457a2_row6_col1346\" class=\"data row6 col1346\" >2.464000</td>\n",
       "      <td id=\"T_457a2_row6_col1347\" class=\"data row6 col1347\" >2.111000</td>\n",
       "      <td id=\"T_457a2_row6_col1348\" class=\"data row6 col1348\" >2.457000</td>\n",
       "      <td id=\"T_457a2_row6_col1349\" class=\"data row6 col1349\" >2.243000</td>\n",
       "      <td id=\"T_457a2_row6_col1350\" class=\"data row6 col1350\" >2.389000</td>\n",
       "      <td id=\"T_457a2_row6_col1351\" class=\"data row6 col1351\" >2.712000</td>\n",
       "      <td id=\"T_457a2_row6_col1352\" class=\"data row6 col1352\" >2.456000</td>\n",
       "      <td id=\"T_457a2_row6_col1353\" class=\"data row6 col1353\" >2.803000</td>\n",
       "      <td id=\"T_457a2_row6_col1354\" class=\"data row6 col1354\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row6_col1355\" class=\"data row6 col1355\" >2.568000</td>\n",
       "      <td id=\"T_457a2_row6_col1356\" class=\"data row6 col1356\" >2.070000</td>\n",
       "      <td id=\"T_457a2_row6_col1357\" class=\"data row6 col1357\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row6_col1358\" class=\"data row6 col1358\" >2.207000</td>\n",
       "      <td id=\"T_457a2_row6_col1359\" class=\"data row6 col1359\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row6_col1360\" class=\"data row6 col1360\" >2.202000</td>\n",
       "      <td id=\"T_457a2_row6_col1361\" class=\"data row6 col1361\" >1.925000</td>\n",
       "      <td id=\"T_457a2_row6_col1362\" class=\"data row6 col1362\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row6_col1363\" class=\"data row6 col1363\" >2.714000</td>\n",
       "      <td id=\"T_457a2_row6_col1364\" class=\"data row6 col1364\" >2.570000</td>\n",
       "      <td id=\"T_457a2_row6_col1365\" class=\"data row6 col1365\" >2.381000</td>\n",
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       "      <td id=\"T_457a2_row7_col972\" class=\"data row7 col972\" >1306.400000</td>\n",
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       "      <td id=\"T_457a2_row7_col977\" class=\"data row7 col977\" >466.970000</td>\n",
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       "      <td id=\"T_457a2_row7_col982\" class=\"data row7 col982\" >251.160000</td>\n",
       "      <td id=\"T_457a2_row7_col983\" class=\"data row7 col983\" >159.190000</td>\n",
       "      <td id=\"T_457a2_row7_col984\" class=\"data row7 col984\" >500.650000</td>\n",
       "      <td id=\"T_457a2_row7_col985\" class=\"data row7 col985\" >742.740000</td>\n",
       "      <td id=\"T_457a2_row7_col986\" class=\"data row7 col986\" >917.250000</td>\n",
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       "      <td id=\"T_457a2_row7_col990\" class=\"data row7 col990\" >717.870000</td>\n",
       "      <td id=\"T_457a2_row7_col991\" class=\"data row7 col991\" >561.310000</td>\n",
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       "      <td id=\"T_457a2_row7_col993\" class=\"data row7 col993\" >716.880000</td>\n",
       "      <td id=\"T_457a2_row7_col994\" class=\"data row7 col994\" >1029.300000</td>\n",
       "      <td id=\"T_457a2_row7_col995\" class=\"data row7 col995\" >450.900000</td>\n",
       "      <td id=\"T_457a2_row7_col996\" class=\"data row7 col996\" >885.840000</td>\n",
       "      <td id=\"T_457a2_row7_col997\" class=\"data row7 col997\" >492.700000</td>\n",
       "      <td id=\"T_457a2_row7_col998\" class=\"data row7 col998\" >291.450000</td>\n",
       "      <td id=\"T_457a2_row7_col999\" class=\"data row7 col999\" >917.650000</td>\n",
       "      <td id=\"T_457a2_row7_col1000\" class=\"data row7 col1000\" >435.110000</td>\n",
       "      <td id=\"T_457a2_row7_col1001\" class=\"data row7 col1001\" >561.160000</td>\n",
       "      <td id=\"T_457a2_row7_col1002\" class=\"data row7 col1002\" >430.920000</td>\n",
       "      <td id=\"T_457a2_row7_col1003\" class=\"data row7 col1003\" >720.330000</td>\n",
       "      <td id=\"T_457a2_row7_col1004\" class=\"data row7 col1004\" >201.480000</td>\n",
       "      <td id=\"T_457a2_row7_col1005\" class=\"data row7 col1005\" >259.170000</td>\n",
       "      <td id=\"T_457a2_row7_col1006\" class=\"data row7 col1006\" >197.170000</td>\n",
       "      <td id=\"T_457a2_row7_col1007\" class=\"data row7 col1007\" >375.060000</td>\n",
       "      <td id=\"T_457a2_row7_col1008\" class=\"data row7 col1008\" >396.270000</td>\n",
       "      <td id=\"T_457a2_row7_col1009\" class=\"data row7 col1009\" >468.960000</td>\n",
       "      <td id=\"T_457a2_row7_col1010\" class=\"data row7 col1010\" >329.240000</td>\n",
       "      <td id=\"T_457a2_row7_col1011\" class=\"data row7 col1011\" >363.390000</td>\n",
       "      <td id=\"T_457a2_row7_col1012\" class=\"data row7 col1012\" >377.730000</td>\n",
       "      <td id=\"T_457a2_row7_col1013\" class=\"data row7 col1013\" >378.130000</td>\n",
       "      <td id=\"T_457a2_row7_col1014\" class=\"data row7 col1014\" >468.260000</td>\n",
       "      <td id=\"T_457a2_row7_col1015\" class=\"data row7 col1015\" >295.840000</td>\n",
       "      <td id=\"T_457a2_row7_col1016\" class=\"data row7 col1016\" >207.800000</td>\n",
       "      <td id=\"T_457a2_row7_col1017\" class=\"data row7 col1017\" >217.310000</td>\n",
       "      <td id=\"T_457a2_row7_col1018\" class=\"data row7 col1018\" >183.350000</td>\n",
       "      <td id=\"T_457a2_row7_col1019\" class=\"data row7 col1019\" >557.190000</td>\n",
       "      <td id=\"T_457a2_row7_col1020\" class=\"data row7 col1020\" >890.970000</td>\n",
       "      <td id=\"T_457a2_row7_col1021\" class=\"data row7 col1021\" >162.040000</td>\n",
       "      <td id=\"T_457a2_row7_col1022\" class=\"data row7 col1022\" >312.120000</td>\n",
       "      <td id=\"T_457a2_row7_col1023\" class=\"data row7 col1023\" >456.700000</td>\n",
       "      <td id=\"T_457a2_row7_col1024\" class=\"data row7 col1024\" >303.310000</td>\n",
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       "      <td id=\"T_457a2_row7_col1026\" class=\"data row7 col1026\" >204.800000</td>\n",
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       "      <td id=\"T_457a2_row7_col1028\" class=\"data row7 col1028\" >643.460000</td>\n",
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       "      <td id=\"T_457a2_row7_col1032\" class=\"data row7 col1032\" >757.980000</td>\n",
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       "      <td id=\"T_457a2_row7_col1153\" class=\"data row7 col1153\" >3.601000</td>\n",
       "      <td id=\"T_457a2_row7_col1154\" class=\"data row7 col1154\" >2.961000</td>\n",
       "      <td id=\"T_457a2_row7_col1155\" class=\"data row7 col1155\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row7_col1156\" class=\"data row7 col1156\" >3.234000</td>\n",
       "      <td id=\"T_457a2_row7_col1157\" class=\"data row7 col1157\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row7_col1158\" class=\"data row7 col1158\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row7_col1159\" class=\"data row7 col1159\" >3.161000</td>\n",
       "      <td id=\"T_457a2_row7_col1160\" class=\"data row7 col1160\" >3.308000</td>\n",
       "      <td id=\"T_457a2_row7_col1161\" class=\"data row7 col1161\" >3.082000</td>\n",
       "      <td id=\"T_457a2_row7_col1162\" class=\"data row7 col1162\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row7_col1163\" class=\"data row7 col1163\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row7_col1164\" class=\"data row7 col1164\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row7_col1165\" class=\"data row7 col1165\" >2.401000</td>\n",
       "      <td id=\"T_457a2_row7_col1166\" class=\"data row7 col1166\" >3.232000</td>\n",
       "      <td id=\"T_457a2_row7_col1167\" class=\"data row7 col1167\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row7_col1168\" class=\"data row7 col1168\" >2.720000</td>\n",
       "      <td id=\"T_457a2_row7_col1169\" class=\"data row7 col1169\" >2.609000</td>\n",
       "      <td id=\"T_457a2_row7_col1170\" class=\"data row7 col1170\" >2.942000</td>\n",
       "      <td id=\"T_457a2_row7_col1171\" class=\"data row7 col1171\" >2.992000</td>\n",
       "      <td id=\"T_457a2_row7_col1172\" class=\"data row7 col1172\" >1.932000</td>\n",
       "      <td id=\"T_457a2_row7_col1173\" class=\"data row7 col1173\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row7_col1174\" class=\"data row7 col1174\" >2.663000</td>\n",
       "      <td id=\"T_457a2_row7_col1175\" class=\"data row7 col1175\" >3.004000</td>\n",
       "      <td id=\"T_457a2_row7_col1176\" class=\"data row7 col1176\" >2.348000</td>\n",
       "      <td id=\"T_457a2_row7_col1177\" class=\"data row7 col1177\" >3.384000</td>\n",
       "      <td id=\"T_457a2_row7_col1178\" class=\"data row7 col1178\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row7_col1179\" class=\"data row7 col1179\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row7_col1180\" class=\"data row7 col1180\" >2.875000</td>\n",
       "      <td id=\"T_457a2_row7_col1181\" class=\"data row7 col1181\" >3.380000</td>\n",
       "      <td id=\"T_457a2_row7_col1182\" class=\"data row7 col1182\" >3.637000</td>\n",
       "      <td id=\"T_457a2_row7_col1183\" class=\"data row7 col1183\" >3.106000</td>\n",
       "      <td id=\"T_457a2_row7_col1184\" class=\"data row7 col1184\" >2.947000</td>\n",
       "      <td id=\"T_457a2_row7_col1185\" class=\"data row7 col1185\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row7_col1186\" class=\"data row7 col1186\" >2.960000</td>\n",
       "      <td id=\"T_457a2_row7_col1187\" class=\"data row7 col1187\" >2.931000</td>\n",
       "      <td id=\"T_457a2_row7_col1188\" class=\"data row7 col1188\" >2.973000</td>\n",
       "      <td id=\"T_457a2_row7_col1189\" class=\"data row7 col1189\" >3.482000</td>\n",
       "      <td id=\"T_457a2_row7_col1190\" class=\"data row7 col1190\" >3.549000</td>\n",
       "      <td id=\"T_457a2_row7_col1191\" class=\"data row7 col1191\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row7_col1192\" class=\"data row7 col1192\" >3.282000</td>\n",
       "      <td id=\"T_457a2_row7_col1193\" class=\"data row7 col1193\" >3.126000</td>\n",
       "      <td id=\"T_457a2_row7_col1194\" class=\"data row7 col1194\" >3.123000</td>\n",
       "      <td id=\"T_457a2_row7_col1195\" class=\"data row7 col1195\" >4.063000</td>\n",
       "      <td id=\"T_457a2_row7_col1196\" class=\"data row7 col1196\" >3.329000</td>\n",
       "      <td id=\"T_457a2_row7_col1197\" class=\"data row7 col1197\" >2.892000</td>\n",
       "      <td id=\"T_457a2_row7_col1198\" class=\"data row7 col1198\" >3.418000</td>\n",
       "      <td id=\"T_457a2_row7_col1199\" class=\"data row7 col1199\" >2.706000</td>\n",
       "      <td id=\"T_457a2_row7_col1200\" class=\"data row7 col1200\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row7_col1201\" class=\"data row7 col1201\" >3.081000</td>\n",
       "      <td id=\"T_457a2_row7_col1202\" class=\"data row7 col1202\" >2.036000</td>\n",
       "      <td id=\"T_457a2_row7_col1203\" class=\"data row7 col1203\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row7_col1204\" class=\"data row7 col1204\" >3.159000</td>\n",
       "      <td id=\"T_457a2_row7_col1205\" class=\"data row7 col1205\" >3.238000</td>\n",
       "      <td id=\"T_457a2_row7_col1206\" class=\"data row7 col1206\" >4.006000</td>\n",
       "      <td id=\"T_457a2_row7_col1207\" class=\"data row7 col1207\" >3.017000</td>\n",
       "      <td id=\"T_457a2_row7_col1208\" class=\"data row7 col1208\" >3.834000</td>\n",
       "      <td id=\"T_457a2_row7_col1209\" class=\"data row7 col1209\" >3.206000</td>\n",
       "      <td id=\"T_457a2_row7_col1210\" class=\"data row7 col1210\" >3.398000</td>\n",
       "      <td id=\"T_457a2_row7_col1211\" class=\"data row7 col1211\" >3.355000</td>\n",
       "      <td id=\"T_457a2_row7_col1212\" class=\"data row7 col1212\" >3.056000</td>\n",
       "      <td id=\"T_457a2_row7_col1213\" class=\"data row7 col1213\" >3.323000</td>\n",
       "      <td id=\"T_457a2_row7_col1214\" class=\"data row7 col1214\" >3.839000</td>\n",
       "      <td id=\"T_457a2_row7_col1215\" class=\"data row7 col1215\" >3.754000</td>\n",
       "      <td id=\"T_457a2_row7_col1216\" class=\"data row7 col1216\" >3.715000</td>\n",
       "      <td id=\"T_457a2_row7_col1217\" class=\"data row7 col1217\" >3.223000</td>\n",
       "      <td id=\"T_457a2_row7_col1218\" class=\"data row7 col1218\" >3.165000</td>\n",
       "      <td id=\"T_457a2_row7_col1219\" class=\"data row7 col1219\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row7_col1220\" class=\"data row7 col1220\" >3.553000</td>\n",
       "      <td id=\"T_457a2_row7_col1221\" class=\"data row7 col1221\" >2.926000</td>\n",
       "      <td id=\"T_457a2_row7_col1222\" class=\"data row7 col1222\" >2.904000</td>\n",
       "      <td id=\"T_457a2_row7_col1223\" class=\"data row7 col1223\" >3.090000</td>\n",
       "      <td id=\"T_457a2_row7_col1224\" class=\"data row7 col1224\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row7_col1225\" class=\"data row7 col1225\" >2.786000</td>\n",
       "      <td id=\"T_457a2_row7_col1226\" class=\"data row7 col1226\" >3.215000</td>\n",
       "      <td id=\"T_457a2_row7_col1227\" class=\"data row7 col1227\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row7_col1228\" class=\"data row7 col1228\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row7_col1229\" class=\"data row7 col1229\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row7_col1230\" class=\"data row7 col1230\" >3.462000</td>\n",
       "      <td id=\"T_457a2_row7_col1231\" class=\"data row7 col1231\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row7_col1232\" class=\"data row7 col1232\" >3.026000</td>\n",
       "      <td id=\"T_457a2_row7_col1233\" class=\"data row7 col1233\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row7_col1234\" class=\"data row7 col1234\" >3.217000</td>\n",
       "      <td id=\"T_457a2_row7_col1235\" class=\"data row7 col1235\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row7_col1236\" class=\"data row7 col1236\" >2.869000</td>\n",
       "      <td id=\"T_457a2_row7_col1237\" class=\"data row7 col1237\" >2.961000</td>\n",
       "      <td id=\"T_457a2_row7_col1238\" class=\"data row7 col1238\" >3.105000</td>\n",
       "      <td id=\"T_457a2_row7_col1239\" class=\"data row7 col1239\" >3.051000</td>\n",
       "      <td id=\"T_457a2_row7_col1240\" class=\"data row7 col1240\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row7_col1241\" class=\"data row7 col1241\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row7_col1242\" class=\"data row7 col1242\" >3.076000</td>\n",
       "      <td id=\"T_457a2_row7_col1243\" class=\"data row7 col1243\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row7_col1244\" class=\"data row7 col1244\" >2.764000</td>\n",
       "      <td id=\"T_457a2_row7_col1245\" class=\"data row7 col1245\" >3.238000</td>\n",
       "      <td id=\"T_457a2_row7_col1246\" class=\"data row7 col1246\" >3.172000</td>\n",
       "      <td id=\"T_457a2_row7_col1247\" class=\"data row7 col1247\" >3.457000</td>\n",
       "      <td id=\"T_457a2_row7_col1248\" class=\"data row7 col1248\" >3.126000</td>\n",
       "      <td id=\"T_457a2_row7_col1249\" class=\"data row7 col1249\" >3.100000</td>\n",
       "      <td id=\"T_457a2_row7_col1250\" class=\"data row7 col1250\" >3.932000</td>\n",
       "      <td id=\"T_457a2_row7_col1251\" class=\"data row7 col1251\" >3.244000</td>\n",
       "      <td id=\"T_457a2_row7_col1252\" class=\"data row7 col1252\" >2.404000</td>\n",
       "      <td id=\"T_457a2_row7_col1253\" class=\"data row7 col1253\" >2.406000</td>\n",
       "      <td id=\"T_457a2_row7_col1254\" class=\"data row7 col1254\" >2.559000</td>\n",
       "      <td id=\"T_457a2_row7_col1255\" class=\"data row7 col1255\" >3.371000</td>\n",
       "      <td id=\"T_457a2_row7_col1256\" class=\"data row7 col1256\" >3.046000</td>\n",
       "      <td id=\"T_457a2_row7_col1257\" class=\"data row7 col1257\" >2.942000</td>\n",
       "      <td id=\"T_457a2_row7_col1258\" class=\"data row7 col1258\" >3.459000</td>\n",
       "      <td id=\"T_457a2_row7_col1259\" class=\"data row7 col1259\" >3.133000</td>\n",
       "      <td id=\"T_457a2_row7_col1260\" class=\"data row7 col1260\" >3.547000</td>\n",
       "      <td id=\"T_457a2_row7_col1261\" class=\"data row7 col1261\" >3.571000</td>\n",
       "      <td id=\"T_457a2_row7_col1262\" class=\"data row7 col1262\" >2.889000</td>\n",
       "      <td id=\"T_457a2_row7_col1263\" class=\"data row7 col1263\" >3.403000</td>\n",
       "      <td id=\"T_457a2_row7_col1264\" class=\"data row7 col1264\" >2.065000</td>\n",
       "      <td id=\"T_457a2_row7_col1265\" class=\"data row7 col1265\" >2.356000</td>\n",
       "      <td id=\"T_457a2_row7_col1266\" class=\"data row7 col1266\" >2.236000</td>\n",
       "      <td id=\"T_457a2_row7_col1267\" class=\"data row7 col1267\" >2.231000</td>\n",
       "      <td id=\"T_457a2_row7_col1268\" class=\"data row7 col1268\" >2.370000</td>\n",
       "      <td id=\"T_457a2_row7_col1269\" class=\"data row7 col1269\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row7_col1270\" class=\"data row7 col1270\" >2.872000</td>\n",
       "      <td id=\"T_457a2_row7_col1271\" class=\"data row7 col1271\" >2.960000</td>\n",
       "      <td id=\"T_457a2_row7_col1272\" class=\"data row7 col1272\" >1.737000</td>\n",
       "      <td id=\"T_457a2_row7_col1273\" class=\"data row7 col1273\" >2.926000</td>\n",
       "      <td id=\"T_457a2_row7_col1274\" class=\"data row7 col1274\" >2.702000</td>\n",
       "      <td id=\"T_457a2_row7_col1275\" class=\"data row7 col1275\" >2.983000</td>\n",
       "      <td id=\"T_457a2_row7_col1276\" class=\"data row7 col1276\" >2.215000</td>\n",
       "      <td id=\"T_457a2_row7_col1277\" class=\"data row7 col1277\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row7_col1278\" class=\"data row7 col1278\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row7_col1279\" class=\"data row7 col1279\" >2.455000</td>\n",
       "      <td id=\"T_457a2_row7_col1280\" class=\"data row7 col1280\" >2.426000</td>\n",
       "      <td id=\"T_457a2_row7_col1281\" class=\"data row7 col1281\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row7_col1282\" class=\"data row7 col1282\" >2.314000</td>\n",
       "      <td id=\"T_457a2_row7_col1283\" class=\"data row7 col1283\" >2.654000</td>\n",
       "      <td id=\"T_457a2_row7_col1284\" class=\"data row7 col1284\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row7_col1285\" class=\"data row7 col1285\" >2.790000</td>\n",
       "      <td id=\"T_457a2_row7_col1286\" class=\"data row7 col1286\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row7_col1287\" class=\"data row7 col1287\" >2.866000</td>\n",
       "      <td id=\"T_457a2_row7_col1288\" class=\"data row7 col1288\" >3.324000</td>\n",
       "      <td id=\"T_457a2_row7_col1289\" class=\"data row7 col1289\" >3.642000</td>\n",
       "      <td id=\"T_457a2_row7_col1290\" class=\"data row7 col1290\" >2.466000</td>\n",
       "      <td id=\"T_457a2_row7_col1291\" class=\"data row7 col1291\" >3.029000</td>\n",
       "      <td id=\"T_457a2_row7_col1292\" class=\"data row7 col1292\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row7_col1293\" class=\"data row7 col1293\" >2.892000</td>\n",
       "      <td id=\"T_457a2_row7_col1294\" class=\"data row7 col1294\" >3.243000</td>\n",
       "      <td id=\"T_457a2_row7_col1295\" class=\"data row7 col1295\" >3.267000</td>\n",
       "      <td id=\"T_457a2_row7_col1296\" class=\"data row7 col1296\" >3.178000</td>\n",
       "      <td id=\"T_457a2_row7_col1297\" class=\"data row7 col1297\" >3.359000</td>\n",
       "      <td id=\"T_457a2_row7_col1298\" class=\"data row7 col1298\" >2.707000</td>\n",
       "      <td id=\"T_457a2_row7_col1299\" class=\"data row7 col1299\" >2.834000</td>\n",
       "      <td id=\"T_457a2_row7_col1300\" class=\"data row7 col1300\" >2.619000</td>\n",
       "      <td id=\"T_457a2_row7_col1301\" class=\"data row7 col1301\" >2.946000</td>\n",
       "      <td id=\"T_457a2_row7_col1302\" class=\"data row7 col1302\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row7_col1303\" class=\"data row7 col1303\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row7_col1304\" class=\"data row7 col1304\" >2.998000</td>\n",
       "      <td id=\"T_457a2_row7_col1305\" class=\"data row7 col1305\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row7_col1306\" class=\"data row7 col1306\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row7_col1307\" class=\"data row7 col1307\" >2.993000</td>\n",
       "      <td id=\"T_457a2_row7_col1308\" class=\"data row7 col1308\" >2.498000</td>\n",
       "      <td id=\"T_457a2_row7_col1309\" class=\"data row7 col1309\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row7_col1310\" class=\"data row7 col1310\" >2.865000</td>\n",
       "      <td id=\"T_457a2_row7_col1311\" class=\"data row7 col1311\" >2.186000</td>\n",
       "      <td id=\"T_457a2_row7_col1312\" class=\"data row7 col1312\" >2.198000</td>\n",
       "      <td id=\"T_457a2_row7_col1313\" class=\"data row7 col1313\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row7_col1314\" class=\"data row7 col1314\" >2.668000</td>\n",
       "      <td id=\"T_457a2_row7_col1315\" class=\"data row7 col1315\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row7_col1316\" class=\"data row7 col1316\" >2.386000</td>\n",
       "      <td id=\"T_457a2_row7_col1317\" class=\"data row7 col1317\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row7_col1318\" class=\"data row7 col1318\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row7_col1319\" class=\"data row7 col1319\" >3.428000</td>\n",
       "      <td id=\"T_457a2_row7_col1320\" class=\"data row7 col1320\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row7_col1321\" class=\"data row7 col1321\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row7_col1322\" class=\"data row7 col1322\" >3.328000</td>\n",
       "      <td id=\"T_457a2_row7_col1323\" class=\"data row7 col1323\" >2.920000</td>\n",
       "      <td id=\"T_457a2_row7_col1324\" class=\"data row7 col1324\" >2.656000</td>\n",
       "      <td id=\"T_457a2_row7_col1325\" class=\"data row7 col1325\" >2.942000</td>\n",
       "      <td id=\"T_457a2_row7_col1326\" class=\"data row7 col1326\" >3.461000</td>\n",
       "      <td id=\"T_457a2_row7_col1327\" class=\"data row7 col1327\" >2.019000</td>\n",
       "      <td id=\"T_457a2_row7_col1328\" class=\"data row7 col1328\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row7_col1329\" class=\"data row7 col1329\" >3.300000</td>\n",
       "      <td id=\"T_457a2_row7_col1330\" class=\"data row7 col1330\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row7_col1331\" class=\"data row7 col1331\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row7_col1332\" class=\"data row7 col1332\" >2.948000</td>\n",
       "      <td id=\"T_457a2_row7_col1333\" class=\"data row7 col1333\" >3.601000</td>\n",
       "      <td id=\"T_457a2_row7_col1334\" class=\"data row7 col1334\" >2.815000</td>\n",
       "      <td id=\"T_457a2_row7_col1335\" class=\"data row7 col1335\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row7_col1336\" class=\"data row7 col1336\" >2.987000</td>\n",
       "      <td id=\"T_457a2_row7_col1337\" class=\"data row7 col1337\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row7_col1338\" class=\"data row7 col1338\" >3.440000</td>\n",
       "      <td id=\"T_457a2_row7_col1339\" class=\"data row7 col1339\" >3.390000</td>\n",
       "      <td id=\"T_457a2_row7_col1340\" class=\"data row7 col1340\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row7_col1341\" class=\"data row7 col1341\" >3.263000</td>\n",
       "      <td id=\"T_457a2_row7_col1342\" class=\"data row7 col1342\" >2.372000</td>\n",
       "      <td id=\"T_457a2_row7_col1343\" class=\"data row7 col1343\" >3.081000</td>\n",
       "      <td id=\"T_457a2_row7_col1344\" class=\"data row7 col1344\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row7_col1345\" class=\"data row7 col1345\" >2.564000</td>\n",
       "      <td id=\"T_457a2_row7_col1346\" class=\"data row7 col1346\" >3.130000</td>\n",
       "      <td id=\"T_457a2_row7_col1347\" class=\"data row7 col1347\" >2.785000</td>\n",
       "      <td id=\"T_457a2_row7_col1348\" class=\"data row7 col1348\" >2.551000</td>\n",
       "      <td id=\"T_457a2_row7_col1349\" class=\"data row7 col1349\" >2.252000</td>\n",
       "      <td id=\"T_457a2_row7_col1350\" class=\"data row7 col1350\" >2.934000</td>\n",
       "      <td id=\"T_457a2_row7_col1351\" class=\"data row7 col1351\" >2.954000</td>\n",
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       "      <td id=\"T_457a2_row8_col1143\" class=\"data row8 col1143\" >3.302000</td>\n",
       "      <td id=\"T_457a2_row8_col1144\" class=\"data row8 col1144\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row8_col1145\" class=\"data row8 col1145\" >3.209000</td>\n",
       "      <td id=\"T_457a2_row8_col1146\" class=\"data row8 col1146\" >3.425000</td>\n",
       "      <td id=\"T_457a2_row8_col1147\" class=\"data row8 col1147\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row8_col1148\" class=\"data row8 col1148\" >2.903000</td>\n",
       "      <td id=\"T_457a2_row8_col1149\" class=\"data row8 col1149\" >3.535000</td>\n",
       "      <td id=\"T_457a2_row8_col1150\" class=\"data row8 col1150\" >3.032000</td>\n",
       "      <td id=\"T_457a2_row8_col1151\" class=\"data row8 col1151\" >3.204000</td>\n",
       "      <td id=\"T_457a2_row8_col1152\" class=\"data row8 col1152\" >3.423000</td>\n",
       "      <td id=\"T_457a2_row8_col1153\" class=\"data row8 col1153\" >3.920000</td>\n",
       "      <td id=\"T_457a2_row8_col1154\" class=\"data row8 col1154\" >2.953000</td>\n",
       "      <td id=\"T_457a2_row8_col1155\" class=\"data row8 col1155\" >3.705000</td>\n",
       "      <td id=\"T_457a2_row8_col1156\" class=\"data row8 col1156\" >2.975000</td>\n",
       "      <td id=\"T_457a2_row8_col1157\" class=\"data row8 col1157\" >3.112000</td>\n",
       "      <td id=\"T_457a2_row8_col1158\" class=\"data row8 col1158\" >3.095000</td>\n",
       "      <td id=\"T_457a2_row8_col1159\" class=\"data row8 col1159\" >3.007000</td>\n",
       "      <td id=\"T_457a2_row8_col1160\" class=\"data row8 col1160\" >3.219000</td>\n",
       "      <td id=\"T_457a2_row8_col1161\" class=\"data row8 col1161\" >2.903000</td>\n",
       "      <td id=\"T_457a2_row8_col1162\" class=\"data row8 col1162\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row8_col1163\" class=\"data row8 col1163\" >2.774000</td>\n",
       "      <td id=\"T_457a2_row8_col1164\" class=\"data row8 col1164\" >2.928000</td>\n",
       "      <td id=\"T_457a2_row8_col1165\" class=\"data row8 col1165\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row8_col1166\" class=\"data row8 col1166\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row8_col1167\" class=\"data row8 col1167\" >2.929000</td>\n",
       "      <td id=\"T_457a2_row8_col1168\" class=\"data row8 col1168\" >2.471000</td>\n",
       "      <td id=\"T_457a2_row8_col1169\" class=\"data row8 col1169\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row8_col1170\" class=\"data row8 col1170\" >3.268000</td>\n",
       "      <td id=\"T_457a2_row8_col1171\" class=\"data row8 col1171\" >3.303000</td>\n",
       "      <td id=\"T_457a2_row8_col1172\" class=\"data row8 col1172\" >2.367000</td>\n",
       "      <td id=\"T_457a2_row8_col1173\" class=\"data row8 col1173\" >3.986000</td>\n",
       "      <td id=\"T_457a2_row8_col1174\" class=\"data row8 col1174\" >3.129000</td>\n",
       "      <td id=\"T_457a2_row8_col1175\" class=\"data row8 col1175\" >3.351000</td>\n",
       "      <td id=\"T_457a2_row8_col1176\" class=\"data row8 col1176\" >3.299000</td>\n",
       "      <td id=\"T_457a2_row8_col1177\" class=\"data row8 col1177\" >3.468000</td>\n",
       "      <td id=\"T_457a2_row8_col1178\" class=\"data row8 col1178\" >2.500000</td>\n",
       "      <td id=\"T_457a2_row8_col1179\" class=\"data row8 col1179\" >2.723000</td>\n",
       "      <td id=\"T_457a2_row8_col1180\" class=\"data row8 col1180\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row8_col1181\" class=\"data row8 col1181\" >3.596000</td>\n",
       "      <td id=\"T_457a2_row8_col1182\" class=\"data row8 col1182\" >3.201000</td>\n",
       "      <td id=\"T_457a2_row8_col1183\" class=\"data row8 col1183\" >2.813000</td>\n",
       "      <td id=\"T_457a2_row8_col1184\" class=\"data row8 col1184\" >2.882000</td>\n",
       "      <td id=\"T_457a2_row8_col1185\" class=\"data row8 col1185\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row8_col1186\" class=\"data row8 col1186\" >2.590000</td>\n",
       "      <td id=\"T_457a2_row8_col1187\" class=\"data row8 col1187\" >2.517000</td>\n",
       "      <td id=\"T_457a2_row8_col1188\" class=\"data row8 col1188\" >2.670000</td>\n",
       "      <td id=\"T_457a2_row8_col1189\" class=\"data row8 col1189\" >3.646000</td>\n",
       "      <td id=\"T_457a2_row8_col1190\" class=\"data row8 col1190\" >3.145000</td>\n",
       "      <td id=\"T_457a2_row8_col1191\" class=\"data row8 col1191\" >3.196000</td>\n",
       "      <td id=\"T_457a2_row8_col1192\" class=\"data row8 col1192\" >3.276000</td>\n",
       "      <td id=\"T_457a2_row8_col1193\" class=\"data row8 col1193\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row8_col1194\" class=\"data row8 col1194\" >3.331000</td>\n",
       "      <td id=\"T_457a2_row8_col1195\" class=\"data row8 col1195\" >3.540000</td>\n",
       "      <td id=\"T_457a2_row8_col1196\" class=\"data row8 col1196\" >2.982000</td>\n",
       "      <td id=\"T_457a2_row8_col1197\" class=\"data row8 col1197\" >3.134000</td>\n",
       "      <td id=\"T_457a2_row8_col1198\" class=\"data row8 col1198\" >3.074000</td>\n",
       "      <td id=\"T_457a2_row8_col1199\" class=\"data row8 col1199\" >2.735000</td>\n",
       "      <td id=\"T_457a2_row8_col1200\" class=\"data row8 col1200\" >2.602000</td>\n",
       "      <td id=\"T_457a2_row8_col1201\" class=\"data row8 col1201\" >3.157000</td>\n",
       "      <td id=\"T_457a2_row8_col1202\" class=\"data row8 col1202\" >2.032000</td>\n",
       "      <td id=\"T_457a2_row8_col1203\" class=\"data row8 col1203\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row8_col1204\" class=\"data row8 col1204\" >2.434000</td>\n",
       "      <td id=\"T_457a2_row8_col1205\" class=\"data row8 col1205\" >3.473000</td>\n",
       "      <td id=\"T_457a2_row8_col1206\" class=\"data row8 col1206\" >3.315000</td>\n",
       "      <td id=\"T_457a2_row8_col1207\" class=\"data row8 col1207\" >2.918000</td>\n",
       "      <td id=\"T_457a2_row8_col1208\" class=\"data row8 col1208\" >3.461000</td>\n",
       "      <td id=\"T_457a2_row8_col1209\" class=\"data row8 col1209\" >3.032000</td>\n",
       "      <td id=\"T_457a2_row8_col1210\" class=\"data row8 col1210\" >2.562000</td>\n",
       "      <td id=\"T_457a2_row8_col1211\" class=\"data row8 col1211\" >3.165000</td>\n",
       "      <td id=\"T_457a2_row8_col1212\" class=\"data row8 col1212\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row8_col1213\" class=\"data row8 col1213\" >2.892000</td>\n",
       "      <td id=\"T_457a2_row8_col1214\" class=\"data row8 col1214\" >3.452000</td>\n",
       "      <td id=\"T_457a2_row8_col1215\" class=\"data row8 col1215\" >3.352000</td>\n",
       "      <td id=\"T_457a2_row8_col1216\" class=\"data row8 col1216\" >3.143000</td>\n",
       "      <td id=\"T_457a2_row8_col1217\" class=\"data row8 col1217\" >2.579000</td>\n",
       "      <td id=\"T_457a2_row8_col1218\" class=\"data row8 col1218\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row8_col1219\" class=\"data row8 col1219\" >2.489000</td>\n",
       "      <td id=\"T_457a2_row8_col1220\" class=\"data row8 col1220\" >3.381000</td>\n",
       "      <td id=\"T_457a2_row8_col1221\" class=\"data row8 col1221\" >2.600000</td>\n",
       "      <td id=\"T_457a2_row8_col1222\" class=\"data row8 col1222\" >2.962000</td>\n",
       "      <td id=\"T_457a2_row8_col1223\" class=\"data row8 col1223\" >3.119000</td>\n",
       "      <td id=\"T_457a2_row8_col1224\" class=\"data row8 col1224\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row8_col1225\" class=\"data row8 col1225\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row8_col1226\" class=\"data row8 col1226\" >3.307000</td>\n",
       "      <td id=\"T_457a2_row8_col1227\" class=\"data row8 col1227\" >2.907000</td>\n",
       "      <td id=\"T_457a2_row8_col1228\" class=\"data row8 col1228\" >2.494000</td>\n",
       "      <td id=\"T_457a2_row8_col1229\" class=\"data row8 col1229\" >2.617000</td>\n",
       "      <td id=\"T_457a2_row8_col1230\" class=\"data row8 col1230\" >3.099000</td>\n",
       "      <td id=\"T_457a2_row8_col1231\" class=\"data row8 col1231\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row8_col1232\" class=\"data row8 col1232\" >3.001000</td>\n",
       "      <td id=\"T_457a2_row8_col1233\" class=\"data row8 col1233\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row8_col1234\" class=\"data row8 col1234\" >2.871000</td>\n",
       "      <td id=\"T_457a2_row8_col1235\" class=\"data row8 col1235\" >2.714000</td>\n",
       "      <td id=\"T_457a2_row8_col1236\" class=\"data row8 col1236\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row8_col1237\" class=\"data row8 col1237\" >2.135000</td>\n",
       "      <td id=\"T_457a2_row8_col1238\" class=\"data row8 col1238\" >2.876000</td>\n",
       "      <td id=\"T_457a2_row8_col1239\" class=\"data row8 col1239\" >2.862000</td>\n",
       "      <td id=\"T_457a2_row8_col1240\" class=\"data row8 col1240\" >2.312000</td>\n",
       "      <td id=\"T_457a2_row8_col1241\" class=\"data row8 col1241\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row8_col1242\" class=\"data row8 col1242\" >2.471000</td>\n",
       "      <td id=\"T_457a2_row8_col1243\" class=\"data row8 col1243\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row8_col1244\" class=\"data row8 col1244\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row8_col1245\" class=\"data row8 col1245\" >3.324000</td>\n",
       "      <td id=\"T_457a2_row8_col1246\" class=\"data row8 col1246\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row8_col1247\" class=\"data row8 col1247\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row8_col1248\" class=\"data row8 col1248\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row8_col1249\" class=\"data row8 col1249\" >3.553000</td>\n",
       "      <td id=\"T_457a2_row8_col1250\" class=\"data row8 col1250\" >3.102000</td>\n",
       "      <td id=\"T_457a2_row8_col1251\" class=\"data row8 col1251\" >3.050000</td>\n",
       "      <td id=\"T_457a2_row8_col1252\" class=\"data row8 col1252\" >3.350000</td>\n",
       "      <td id=\"T_457a2_row8_col1253\" class=\"data row8 col1253\" >2.898000</td>\n",
       "      <td id=\"T_457a2_row8_col1254\" class=\"data row8 col1254\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row8_col1255\" class=\"data row8 col1255\" >2.704000</td>\n",
       "      <td id=\"T_457a2_row8_col1256\" class=\"data row8 col1256\" >2.876000</td>\n",
       "      <td id=\"T_457a2_row8_col1257\" class=\"data row8 col1257\" >2.678000</td>\n",
       "      <td id=\"T_457a2_row8_col1258\" class=\"data row8 col1258\" >3.181000</td>\n",
       "      <td id=\"T_457a2_row8_col1259\" class=\"data row8 col1259\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row8_col1260\" class=\"data row8 col1260\" >3.268000</td>\n",
       "      <td id=\"T_457a2_row8_col1261\" class=\"data row8 col1261\" >2.881000</td>\n",
       "      <td id=\"T_457a2_row8_col1262\" class=\"data row8 col1262\" >3.137000</td>\n",
       "      <td id=\"T_457a2_row8_col1263\" class=\"data row8 col1263\" >2.438000</td>\n",
       "      <td id=\"T_457a2_row8_col1264\" class=\"data row8 col1264\" >1.901000</td>\n",
       "      <td id=\"T_457a2_row8_col1265\" class=\"data row8 col1265\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row8_col1266\" class=\"data row8 col1266\" >2.380000</td>\n",
       "      <td id=\"T_457a2_row8_col1267\" class=\"data row8 col1267\" >2.199000</td>\n",
       "      <td id=\"T_457a2_row8_col1268\" class=\"data row8 col1268\" >2.266000</td>\n",
       "      <td id=\"T_457a2_row8_col1269\" class=\"data row8 col1269\" >2.252000</td>\n",
       "      <td id=\"T_457a2_row8_col1270\" class=\"data row8 col1270\" >3.287000</td>\n",
       "      <td id=\"T_457a2_row8_col1271\" class=\"data row8 col1271\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row8_col1272\" class=\"data row8 col1272\" >1.586000</td>\n",
       "      <td id=\"T_457a2_row8_col1273\" class=\"data row8 col1273\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row8_col1274\" class=\"data row8 col1274\" >2.390000</td>\n",
       "      <td id=\"T_457a2_row8_col1275\" class=\"data row8 col1275\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row8_col1276\" class=\"data row8 col1276\" >2.266000</td>\n",
       "      <td id=\"T_457a2_row8_col1277\" class=\"data row8 col1277\" >2.339000</td>\n",
       "      <td id=\"T_457a2_row8_col1278\" class=\"data row8 col1278\" >2.867000</td>\n",
       "      <td id=\"T_457a2_row8_col1279\" class=\"data row8 col1279\" >2.065000</td>\n",
       "      <td id=\"T_457a2_row8_col1280\" class=\"data row8 col1280\" >2.277000</td>\n",
       "      <td id=\"T_457a2_row8_col1281\" class=\"data row8 col1281\" >2.915000</td>\n",
       "      <td id=\"T_457a2_row8_col1282\" class=\"data row8 col1282\" >2.032000</td>\n",
       "      <td id=\"T_457a2_row8_col1283\" class=\"data row8 col1283\" >2.200000</td>\n",
       "      <td id=\"T_457a2_row8_col1284\" class=\"data row8 col1284\" >2.608000</td>\n",
       "      <td id=\"T_457a2_row8_col1285\" class=\"data row8 col1285\" >2.798000</td>\n",
       "      <td id=\"T_457a2_row8_col1286\" class=\"data row8 col1286\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row8_col1287\" class=\"data row8 col1287\" >2.065000</td>\n",
       "      <td id=\"T_457a2_row8_col1288\" class=\"data row8 col1288\" >3.156000</td>\n",
       "      <td id=\"T_457a2_row8_col1289\" class=\"data row8 col1289\" >3.310000</td>\n",
       "      <td id=\"T_457a2_row8_col1290\" class=\"data row8 col1290\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row8_col1291\" class=\"data row8 col1291\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row8_col1292\" class=\"data row8 col1292\" >3.278000</td>\n",
       "      <td id=\"T_457a2_row8_col1293\" class=\"data row8 col1293\" >3.085000</td>\n",
       "      <td id=\"T_457a2_row8_col1294\" class=\"data row8 col1294\" >3.382000</td>\n",
       "      <td id=\"T_457a2_row8_col1295\" class=\"data row8 col1295\" >2.808000</td>\n",
       "      <td id=\"T_457a2_row8_col1296\" class=\"data row8 col1296\" >3.544000</td>\n",
       "      <td id=\"T_457a2_row8_col1297\" class=\"data row8 col1297\" >3.167000</td>\n",
       "      <td id=\"T_457a2_row8_col1298\" class=\"data row8 col1298\" >2.798000</td>\n",
       "      <td id=\"T_457a2_row8_col1299\" class=\"data row8 col1299\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row8_col1300\" class=\"data row8 col1300\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row8_col1301\" class=\"data row8 col1301\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row8_col1302\" class=\"data row8 col1302\" >2.377000</td>\n",
       "      <td id=\"T_457a2_row8_col1303\" class=\"data row8 col1303\" >2.945000</td>\n",
       "      <td id=\"T_457a2_row8_col1304\" class=\"data row8 col1304\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row8_col1305\" class=\"data row8 col1305\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row8_col1306\" class=\"data row8 col1306\" >3.633000</td>\n",
       "      <td id=\"T_457a2_row8_col1307\" class=\"data row8 col1307\" >3.085000</td>\n",
       "      <td id=\"T_457a2_row8_col1308\" class=\"data row8 col1308\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row8_col1309\" class=\"data row8 col1309\" >2.144000</td>\n",
       "      <td id=\"T_457a2_row8_col1310\" class=\"data row8 col1310\" >2.755000</td>\n",
       "      <td id=\"T_457a2_row8_col1311\" class=\"data row8 col1311\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row8_col1312\" class=\"data row8 col1312\" >2.917000</td>\n",
       "      <td id=\"T_457a2_row8_col1313\" class=\"data row8 col1313\" >2.313000</td>\n",
       "      <td id=\"T_457a2_row8_col1314\" class=\"data row8 col1314\" >2.339000</td>\n",
       "      <td id=\"T_457a2_row8_col1315\" class=\"data row8 col1315\" >2.135000</td>\n",
       "      <td id=\"T_457a2_row8_col1316\" class=\"data row8 col1316\" >1.951000</td>\n",
       "      <td id=\"T_457a2_row8_col1317\" class=\"data row8 col1317\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row8_col1318\" class=\"data row8 col1318\" >2.788000</td>\n",
       "      <td id=\"T_457a2_row8_col1319\" class=\"data row8 col1319\" >3.569000</td>\n",
       "      <td id=\"T_457a2_row8_col1320\" class=\"data row8 col1320\" >3.356000</td>\n",
       "      <td id=\"T_457a2_row8_col1321\" class=\"data row8 col1321\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row8_col1322\" class=\"data row8 col1322\" >3.159000</td>\n",
       "      <td id=\"T_457a2_row8_col1323\" class=\"data row8 col1323\" >3.216000</td>\n",
       "      <td id=\"T_457a2_row8_col1324\" class=\"data row8 col1324\" >2.820000</td>\n",
       "      <td id=\"T_457a2_row8_col1325\" class=\"data row8 col1325\" >3.387000</td>\n",
       "      <td id=\"T_457a2_row8_col1326\" class=\"data row8 col1326\" >3.741000</td>\n",
       "      <td id=\"T_457a2_row8_col1327\" class=\"data row8 col1327\" >2.760000</td>\n",
       "      <td id=\"T_457a2_row8_col1328\" class=\"data row8 col1328\" >2.828000</td>\n",
       "      <td id=\"T_457a2_row8_col1329\" class=\"data row8 col1329\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row8_col1330\" class=\"data row8 col1330\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row8_col1331\" class=\"data row8 col1331\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row8_col1332\" class=\"data row8 col1332\" >3.507000</td>\n",
       "      <td id=\"T_457a2_row8_col1333\" class=\"data row8 col1333\" >3.799000</td>\n",
       "      <td id=\"T_457a2_row8_col1334\" class=\"data row8 col1334\" >3.047000</td>\n",
       "      <td id=\"T_457a2_row8_col1335\" class=\"data row8 col1335\" >2.754000</td>\n",
       "      <td id=\"T_457a2_row8_col1336\" class=\"data row8 col1336\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row8_col1337\" class=\"data row8 col1337\" >3.067000</td>\n",
       "      <td id=\"T_457a2_row8_col1338\" class=\"data row8 col1338\" >3.148000</td>\n",
       "      <td id=\"T_457a2_row8_col1339\" class=\"data row8 col1339\" >3.528000</td>\n",
       "      <td id=\"T_457a2_row8_col1340\" class=\"data row8 col1340\" >3.272000</td>\n",
       "      <td id=\"T_457a2_row8_col1341\" class=\"data row8 col1341\" >2.950000</td>\n",
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       "      <td id=\"T_457a2_row9_col1131\" class=\"data row9 col1131\" >2.158000</td>\n",
       "      <td id=\"T_457a2_row9_col1132\" class=\"data row9 col1132\" >2.508000</td>\n",
       "      <td id=\"T_457a2_row9_col1133\" class=\"data row9 col1133\" >2.137000</td>\n",
       "      <td id=\"T_457a2_row9_col1134\" class=\"data row9 col1134\" >2.219000</td>\n",
       "      <td id=\"T_457a2_row9_col1135\" class=\"data row9 col1135\" >1.781000</td>\n",
       "      <td id=\"T_457a2_row9_col1136\" class=\"data row9 col1136\" >1.708000</td>\n",
       "      <td id=\"T_457a2_row9_col1137\" class=\"data row9 col1137\" >3.258000</td>\n",
       "      <td id=\"T_457a2_row9_col1138\" class=\"data row9 col1138\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row9_col1139\" class=\"data row9 col1139\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row9_col1140\" class=\"data row9 col1140\" >2.796000</td>\n",
       "      <td id=\"T_457a2_row9_col1141\" class=\"data row9 col1141\" >2.526000</td>\n",
       "      <td id=\"T_457a2_row9_col1142\" class=\"data row9 col1142\" >3.057000</td>\n",
       "      <td id=\"T_457a2_row9_col1143\" class=\"data row9 col1143\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row9_col1144\" class=\"data row9 col1144\" >3.444000</td>\n",
       "      <td id=\"T_457a2_row9_col1145\" class=\"data row9 col1145\" >3.030000</td>\n",
       "      <td id=\"T_457a2_row9_col1146\" class=\"data row9 col1146\" >3.572000</td>\n",
       "      <td id=\"T_457a2_row9_col1147\" class=\"data row9 col1147\" >2.397000</td>\n",
       "      <td id=\"T_457a2_row9_col1148\" class=\"data row9 col1148\" >2.550000</td>\n",
       "      <td id=\"T_457a2_row9_col1149\" class=\"data row9 col1149\" >3.288000</td>\n",
       "      <td id=\"T_457a2_row9_col1150\" class=\"data row9 col1150\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row9_col1151\" class=\"data row9 col1151\" >2.488000</td>\n",
       "      <td id=\"T_457a2_row9_col1152\" class=\"data row9 col1152\" >3.305000</td>\n",
       "      <td id=\"T_457a2_row9_col1153\" class=\"data row9 col1153\" >3.420000</td>\n",
       "      <td id=\"T_457a2_row9_col1154\" class=\"data row9 col1154\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row9_col1155\" class=\"data row9 col1155\" >3.102000</td>\n",
       "      <td id=\"T_457a2_row9_col1156\" class=\"data row9 col1156\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row9_col1157\" class=\"data row9 col1157\" >2.847000</td>\n",
       "      <td id=\"T_457a2_row9_col1158\" class=\"data row9 col1158\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row9_col1159\" class=\"data row9 col1159\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row9_col1160\" class=\"data row9 col1160\" >2.865000</td>\n",
       "      <td id=\"T_457a2_row9_col1161\" class=\"data row9 col1161\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row9_col1162\" class=\"data row9 col1162\" >2.733000</td>\n",
       "      <td id=\"T_457a2_row9_col1163\" class=\"data row9 col1163\" >2.627000</td>\n",
       "      <td id=\"T_457a2_row9_col1164\" class=\"data row9 col1164\" >2.501000</td>\n",
       "      <td id=\"T_457a2_row9_col1165\" class=\"data row9 col1165\" >1.936000</td>\n",
       "      <td id=\"T_457a2_row9_col1166\" class=\"data row9 col1166\" >2.372000</td>\n",
       "      <td id=\"T_457a2_row9_col1167\" class=\"data row9 col1167\" >2.480000</td>\n",
       "      <td id=\"T_457a2_row9_col1168\" class=\"data row9 col1168\" >2.389000</td>\n",
       "      <td id=\"T_457a2_row9_col1169\" class=\"data row9 col1169\" >2.009000</td>\n",
       "      <td id=\"T_457a2_row9_col1170\" class=\"data row9 col1170\" >3.108000</td>\n",
       "      <td id=\"T_457a2_row9_col1171\" class=\"data row9 col1171\" >2.967000</td>\n",
       "      <td id=\"T_457a2_row9_col1172\" class=\"data row9 col1172\" >2.104000</td>\n",
       "      <td id=\"T_457a2_row9_col1173\" class=\"data row9 col1173\" >2.859000</td>\n",
       "      <td id=\"T_457a2_row9_col1174\" class=\"data row9 col1174\" >3.002000</td>\n",
       "      <td id=\"T_457a2_row9_col1175\" class=\"data row9 col1175\" >3.462000</td>\n",
       "      <td id=\"T_457a2_row9_col1176\" class=\"data row9 col1176\" >2.433000</td>\n",
       "      <td id=\"T_457a2_row9_col1177\" class=\"data row9 col1177\" >3.271000</td>\n",
       "      <td id=\"T_457a2_row9_col1178\" class=\"data row9 col1178\" >2.277000</td>\n",
       "      <td id=\"T_457a2_row9_col1179\" class=\"data row9 col1179\" >2.561000</td>\n",
       "      <td id=\"T_457a2_row9_col1180\" class=\"data row9 col1180\" >2.705000</td>\n",
       "      <td id=\"T_457a2_row9_col1181\" class=\"data row9 col1181\" >2.671000</td>\n",
       "      <td id=\"T_457a2_row9_col1182\" class=\"data row9 col1182\" >2.995000</td>\n",
       "      <td id=\"T_457a2_row9_col1183\" class=\"data row9 col1183\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row9_col1184\" class=\"data row9 col1184\" >2.777000</td>\n",
       "      <td id=\"T_457a2_row9_col1185\" class=\"data row9 col1185\" >2.609000</td>\n",
       "      <td id=\"T_457a2_row9_col1186\" class=\"data row9 col1186\" >2.106000</td>\n",
       "      <td id=\"T_457a2_row9_col1187\" class=\"data row9 col1187\" >2.587000</td>\n",
       "      <td id=\"T_457a2_row9_col1188\" class=\"data row9 col1188\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row9_col1189\" class=\"data row9 col1189\" >3.816000</td>\n",
       "      <td id=\"T_457a2_row9_col1190\" class=\"data row9 col1190\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row9_col1191\" class=\"data row9 col1191\" >3.026000</td>\n",
       "      <td id=\"T_457a2_row9_col1192\" class=\"data row9 col1192\" >3.344000</td>\n",
       "      <td id=\"T_457a2_row9_col1193\" class=\"data row9 col1193\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row9_col1194\" class=\"data row9 col1194\" >2.826000</td>\n",
       "      <td id=\"T_457a2_row9_col1195\" class=\"data row9 col1195\" >3.476000</td>\n",
       "      <td id=\"T_457a2_row9_col1196\" class=\"data row9 col1196\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row9_col1197\" class=\"data row9 col1197\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row9_col1198\" class=\"data row9 col1198\" >3.170000</td>\n",
       "      <td id=\"T_457a2_row9_col1199\" class=\"data row9 col1199\" >2.275000</td>\n",
       "      <td id=\"T_457a2_row9_col1200\" class=\"data row9 col1200\" >2.067000</td>\n",
       "      <td id=\"T_457a2_row9_col1201\" class=\"data row9 col1201\" >3.976000</td>\n",
       "      <td id=\"T_457a2_row9_col1202\" class=\"data row9 col1202\" >2.128000</td>\n",
       "      <td id=\"T_457a2_row9_col1203\" class=\"data row9 col1203\" >2.528000</td>\n",
       "      <td id=\"T_457a2_row9_col1204\" class=\"data row9 col1204\" >2.004000</td>\n",
       "      <td id=\"T_457a2_row9_col1205\" class=\"data row9 col1205\" >3.432000</td>\n",
       "      <td id=\"T_457a2_row9_col1206\" class=\"data row9 col1206\" >3.498000</td>\n",
       "      <td id=\"T_457a2_row9_col1207\" class=\"data row9 col1207\" >2.280000</td>\n",
       "      <td id=\"T_457a2_row9_col1208\" class=\"data row9 col1208\" >2.659000</td>\n",
       "      <td id=\"T_457a2_row9_col1209\" class=\"data row9 col1209\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row9_col1210\" class=\"data row9 col1210\" >2.352000</td>\n",
       "      <td id=\"T_457a2_row9_col1211\" class=\"data row9 col1211\" >2.895000</td>\n",
       "      <td id=\"T_457a2_row9_col1212\" class=\"data row9 col1212\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row9_col1213\" class=\"data row9 col1213\" >2.014000</td>\n",
       "      <td id=\"T_457a2_row9_col1214\" class=\"data row9 col1214\" >3.064000</td>\n",
       "      <td id=\"T_457a2_row9_col1215\" class=\"data row9 col1215\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row9_col1216\" class=\"data row9 col1216\" >3.129000</td>\n",
       "      <td id=\"T_457a2_row9_col1217\" class=\"data row9 col1217\" >3.044000</td>\n",
       "      <td id=\"T_457a2_row9_col1218\" class=\"data row9 col1218\" >3.031000</td>\n",
       "      <td id=\"T_457a2_row9_col1219\" class=\"data row9 col1219\" >2.376000</td>\n",
       "      <td id=\"T_457a2_row9_col1220\" class=\"data row9 col1220\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row9_col1221\" class=\"data row9 col1221\" >2.185000</td>\n",
       "      <td id=\"T_457a2_row9_col1222\" class=\"data row9 col1222\" >2.554000</td>\n",
       "      <td id=\"T_457a2_row9_col1223\" class=\"data row9 col1223\" >2.466000</td>\n",
       "      <td id=\"T_457a2_row9_col1224\" class=\"data row9 col1224\" >1.924000</td>\n",
       "      <td id=\"T_457a2_row9_col1225\" class=\"data row9 col1225\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row9_col1226\" class=\"data row9 col1226\" >2.747000</td>\n",
       "      <td id=\"T_457a2_row9_col1227\" class=\"data row9 col1227\" >2.044000</td>\n",
       "      <td id=\"T_457a2_row9_col1228\" class=\"data row9 col1228\" >2.091000</td>\n",
       "      <td id=\"T_457a2_row9_col1229\" class=\"data row9 col1229\" >2.247000</td>\n",
       "      <td id=\"T_457a2_row9_col1230\" class=\"data row9 col1230\" >2.669000</td>\n",
       "      <td id=\"T_457a2_row9_col1231\" class=\"data row9 col1231\" >2.361000</td>\n",
       "      <td id=\"T_457a2_row9_col1232\" class=\"data row9 col1232\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row9_col1233\" class=\"data row9 col1233\" >2.709000</td>\n",
       "      <td id=\"T_457a2_row9_col1234\" class=\"data row9 col1234\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row9_col1235\" class=\"data row9 col1235\" >2.575000</td>\n",
       "      <td id=\"T_457a2_row9_col1236\" class=\"data row9 col1236\" >2.262000</td>\n",
       "      <td id=\"T_457a2_row9_col1237\" class=\"data row9 col1237\" >2.679000</td>\n",
       "      <td id=\"T_457a2_row9_col1238\" class=\"data row9 col1238\" >1.860000</td>\n",
       "      <td id=\"T_457a2_row9_col1239\" class=\"data row9 col1239\" >2.007000</td>\n",
       "      <td id=\"T_457a2_row9_col1240\" class=\"data row9 col1240\" >2.309000</td>\n",
       "      <td id=\"T_457a2_row9_col1241\" class=\"data row9 col1241\" >2.072000</td>\n",
       "      <td id=\"T_457a2_row9_col1242\" class=\"data row9 col1242\" >2.100000</td>\n",
       "      <td id=\"T_457a2_row9_col1243\" class=\"data row9 col1243\" >1.884000</td>\n",
       "      <td id=\"T_457a2_row9_col1244\" class=\"data row9 col1244\" >2.355000</td>\n",
       "      <td id=\"T_457a2_row9_col1245\" class=\"data row9 col1245\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row9_col1246\" class=\"data row9 col1246\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row9_col1247\" class=\"data row9 col1247\" >3.732000</td>\n",
       "      <td id=\"T_457a2_row9_col1248\" class=\"data row9 col1248\" >3.451000</td>\n",
       "      <td id=\"T_457a2_row9_col1249\" class=\"data row9 col1249\" >3.514000</td>\n",
       "      <td id=\"T_457a2_row9_col1250\" class=\"data row9 col1250\" >3.611000</td>\n",
       "      <td id=\"T_457a2_row9_col1251\" class=\"data row9 col1251\" >2.887000</td>\n",
       "      <td id=\"T_457a2_row9_col1252\" class=\"data row9 col1252\" >3.030000</td>\n",
       "      <td id=\"T_457a2_row9_col1253\" class=\"data row9 col1253\" >2.831000</td>\n",
       "      <td id=\"T_457a2_row9_col1254\" class=\"data row9 col1254\" >2.199000</td>\n",
       "      <td id=\"T_457a2_row9_col1255\" class=\"data row9 col1255\" >3.227000</td>\n",
       "      <td id=\"T_457a2_row9_col1256\" class=\"data row9 col1256\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row9_col1257\" class=\"data row9 col1257\" >2.045000</td>\n",
       "      <td id=\"T_457a2_row9_col1258\" class=\"data row9 col1258\" >2.581000</td>\n",
       "      <td id=\"T_457a2_row9_col1259\" class=\"data row9 col1259\" >2.435000</td>\n",
       "      <td id=\"T_457a2_row9_col1260\" class=\"data row9 col1260\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row9_col1261\" class=\"data row9 col1261\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row9_col1262\" class=\"data row9 col1262\" >3.527000</td>\n",
       "      <td id=\"T_457a2_row9_col1263\" class=\"data row9 col1263\" >3.652000</td>\n",
       "      <td id=\"T_457a2_row9_col1264\" class=\"data row9 col1264\" >1.711000</td>\n",
       "      <td id=\"T_457a2_row9_col1265\" class=\"data row9 col1265\" >1.980000</td>\n",
       "      <td id=\"T_457a2_row9_col1266\" class=\"data row9 col1266\" >2.020000</td>\n",
       "      <td id=\"T_457a2_row9_col1267\" class=\"data row9 col1267\" >2.120000</td>\n",
       "      <td id=\"T_457a2_row9_col1268\" class=\"data row9 col1268\" >2.009000</td>\n",
       "      <td id=\"T_457a2_row9_col1269\" class=\"data row9 col1269\" >2.342000</td>\n",
       "      <td id=\"T_457a2_row9_col1270\" class=\"data row9 col1270\" >3.062000</td>\n",
       "      <td id=\"T_457a2_row9_col1271\" class=\"data row9 col1271\" >2.422000</td>\n",
       "      <td id=\"T_457a2_row9_col1272\" class=\"data row9 col1272\" >1.494000</td>\n",
       "      <td id=\"T_457a2_row9_col1273\" class=\"data row9 col1273\" >2.502000</td>\n",
       "      <td id=\"T_457a2_row9_col1274\" class=\"data row9 col1274\" >3.276000</td>\n",
       "      <td id=\"T_457a2_row9_col1275\" class=\"data row9 col1275\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row9_col1276\" class=\"data row9 col1276\" >2.252000</td>\n",
       "      <td id=\"T_457a2_row9_col1277\" class=\"data row9 col1277\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row9_col1278\" class=\"data row9 col1278\" >2.264000</td>\n",
       "      <td id=\"T_457a2_row9_col1279\" class=\"data row9 col1279\" >2.005000</td>\n",
       "      <td id=\"T_457a2_row9_col1280\" class=\"data row9 col1280\" >2.295000</td>\n",
       "      <td id=\"T_457a2_row9_col1281\" class=\"data row9 col1281\" >3.015000</td>\n",
       "      <td id=\"T_457a2_row9_col1282\" class=\"data row9 col1282\" >1.946000</td>\n",
       "      <td id=\"T_457a2_row9_col1283\" class=\"data row9 col1283\" >2.302000</td>\n",
       "      <td id=\"T_457a2_row9_col1284\" class=\"data row9 col1284\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row9_col1285\" class=\"data row9 col1285\" >2.431000</td>\n",
       "      <td id=\"T_457a2_row9_col1286\" class=\"data row9 col1286\" >2.073000</td>\n",
       "      <td id=\"T_457a2_row9_col1287\" class=\"data row9 col1287\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row9_col1288\" class=\"data row9 col1288\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row9_col1289\" class=\"data row9 col1289\" >2.956000</td>\n",
       "      <td id=\"T_457a2_row9_col1290\" class=\"data row9 col1290\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row9_col1291\" class=\"data row9 col1291\" >2.171000</td>\n",
       "      <td id=\"T_457a2_row9_col1292\" class=\"data row9 col1292\" >1.905000</td>\n",
       "      <td id=\"T_457a2_row9_col1293\" class=\"data row9 col1293\" >2.544000</td>\n",
       "      <td id=\"T_457a2_row9_col1294\" class=\"data row9 col1294\" >3.075000</td>\n",
       "      <td id=\"T_457a2_row9_col1295\" class=\"data row9 col1295\" >3.665000</td>\n",
       "      <td id=\"T_457a2_row9_col1296\" class=\"data row9 col1296\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row9_col1297\" class=\"data row9 col1297\" >2.953000</td>\n",
       "      <td id=\"T_457a2_row9_col1298\" class=\"data row9 col1298\" >2.699000</td>\n",
       "      <td id=\"T_457a2_row9_col1299\" class=\"data row9 col1299\" >2.479000</td>\n",
       "      <td id=\"T_457a2_row9_col1300\" class=\"data row9 col1300\" >2.510000</td>\n",
       "      <td id=\"T_457a2_row9_col1301\" class=\"data row9 col1301\" >2.653000</td>\n",
       "      <td id=\"T_457a2_row9_col1302\" class=\"data row9 col1302\" >2.433000</td>\n",
       "      <td id=\"T_457a2_row9_col1303\" class=\"data row9 col1303\" >2.311000</td>\n",
       "      <td id=\"T_457a2_row9_col1304\" class=\"data row9 col1304\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row9_col1305\" class=\"data row9 col1305\" >2.135000</td>\n",
       "      <td id=\"T_457a2_row9_col1306\" class=\"data row9 col1306\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row9_col1307\" class=\"data row9 col1307\" >2.960000</td>\n",
       "      <td id=\"T_457a2_row9_col1308\" class=\"data row9 col1308\" >2.262000</td>\n",
       "      <td id=\"T_457a2_row9_col1309\" class=\"data row9 col1309\" >2.330000</td>\n",
       "      <td id=\"T_457a2_row9_col1310\" class=\"data row9 col1310\" >2.312000</td>\n",
       "      <td id=\"T_457a2_row9_col1311\" class=\"data row9 col1311\" >1.908000</td>\n",
       "      <td id=\"T_457a2_row9_col1312\" class=\"data row9 col1312\" >2.132000</td>\n",
       "      <td id=\"T_457a2_row9_col1313\" class=\"data row9 col1313\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row9_col1314\" class=\"data row9 col1314\" >2.111000</td>\n",
       "      <td id=\"T_457a2_row9_col1315\" class=\"data row9 col1315\" >2.020000</td>\n",
       "      <td id=\"T_457a2_row9_col1316\" class=\"data row9 col1316\" >1.726000</td>\n",
       "      <td id=\"T_457a2_row9_col1317\" class=\"data row9 col1317\" >3.058000</td>\n",
       "      <td id=\"T_457a2_row9_col1318\" class=\"data row9 col1318\" >2.822000</td>\n",
       "      <td id=\"T_457a2_row9_col1319\" class=\"data row9 col1319\" >3.175000</td>\n",
       "      <td id=\"T_457a2_row9_col1320\" class=\"data row9 col1320\" >3.564000</td>\n",
       "      <td id=\"T_457a2_row9_col1321\" class=\"data row9 col1321\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row9_col1322\" class=\"data row9 col1322\" >2.888000</td>\n",
       "      <td id=\"T_457a2_row9_col1323\" class=\"data row9 col1323\" >2.983000</td>\n",
       "      <td id=\"T_457a2_row9_col1324\" class=\"data row9 col1324\" >3.117000</td>\n",
       "      <td id=\"T_457a2_row9_col1325\" class=\"data row9 col1325\" >3.013000</td>\n",
       "      <td id=\"T_457a2_row9_col1326\" class=\"data row9 col1326\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row9_col1327\" class=\"data row9 col1327\" >2.826000</td>\n",
       "      <td id=\"T_457a2_row9_col1328\" class=\"data row9 col1328\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row9_col1329\" class=\"data row9 col1329\" >3.382000</td>\n",
       "      <td id=\"T_457a2_row9_col1330\" class=\"data row9 col1330\" >3.050000</td>\n",
       "      <td id=\"T_457a2_row9_col1331\" class=\"data row9 col1331\" >2.884000</td>\n",
       "      <td id=\"T_457a2_row9_col1332\" class=\"data row9 col1332\" >3.039000</td>\n",
       "      <td id=\"T_457a2_row9_col1333\" class=\"data row9 col1333\" >3.150000</td>\n",
       "      <td id=\"T_457a2_row9_col1334\" class=\"data row9 col1334\" >2.231000</td>\n",
       "      <td id=\"T_457a2_row9_col1335\" class=\"data row9 col1335\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row9_col1336\" class=\"data row9 col1336\" >2.382000</td>\n",
       "      <td id=\"T_457a2_row9_col1337\" class=\"data row9 col1337\" >3.174000</td>\n",
       "      <td id=\"T_457a2_row9_col1338\" class=\"data row9 col1338\" >2.623000</td>\n",
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       "      <td id=\"T_457a2_row9_col1342\" class=\"data row9 col1342\" >2.907000</td>\n",
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       "      <td id=\"T_457a2_row10_col1120\" class=\"data row10 col1120\" >2.255000</td>\n",
       "      <td id=\"T_457a2_row10_col1121\" class=\"data row10 col1121\" >2.333000</td>\n",
       "      <td id=\"T_457a2_row10_col1122\" class=\"data row10 col1122\" >2.375000</td>\n",
       "      <td id=\"T_457a2_row10_col1123\" class=\"data row10 col1123\" >2.795000</td>\n",
       "      <td id=\"T_457a2_row10_col1124\" class=\"data row10 col1124\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row10_col1125\" class=\"data row10 col1125\" >2.214000</td>\n",
       "      <td id=\"T_457a2_row10_col1126\" class=\"data row10 col1126\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row10_col1127\" class=\"data row10 col1127\" >2.502000</td>\n",
       "      <td id=\"T_457a2_row10_col1128\" class=\"data row10 col1128\" >2.294000</td>\n",
       "      <td id=\"T_457a2_row10_col1129\" class=\"data row10 col1129\" >2.024000</td>\n",
       "      <td id=\"T_457a2_row10_col1130\" class=\"data row10 col1130\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row10_col1131\" class=\"data row10 col1131\" >2.537000</td>\n",
       "      <td id=\"T_457a2_row10_col1132\" class=\"data row10 col1132\" >2.509000</td>\n",
       "      <td id=\"T_457a2_row10_col1133\" class=\"data row10 col1133\" >2.134000</td>\n",
       "      <td id=\"T_457a2_row10_col1134\" class=\"data row10 col1134\" >2.354000</td>\n",
       "      <td id=\"T_457a2_row10_col1135\" class=\"data row10 col1135\" >2.134000</td>\n",
       "      <td id=\"T_457a2_row10_col1136\" class=\"data row10 col1136\" >1.856000</td>\n",
       "      <td id=\"T_457a2_row10_col1137\" class=\"data row10 col1137\" >2.804000</td>\n",
       "      <td id=\"T_457a2_row10_col1138\" class=\"data row10 col1138\" >2.561000</td>\n",
       "      <td id=\"T_457a2_row10_col1139\" class=\"data row10 col1139\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row10_col1140\" class=\"data row10 col1140\" >2.948000</td>\n",
       "      <td id=\"T_457a2_row10_col1141\" class=\"data row10 col1141\" >2.305000</td>\n",
       "      <td id=\"T_457a2_row10_col1142\" class=\"data row10 col1142\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row10_col1143\" class=\"data row10 col1143\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row10_col1144\" class=\"data row10 col1144\" >3.111000</td>\n",
       "      <td id=\"T_457a2_row10_col1145\" class=\"data row10 col1145\" >2.759000</td>\n",
       "      <td id=\"T_457a2_row10_col1146\" class=\"data row10 col1146\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row10_col1147\" class=\"data row10 col1147\" >2.373000</td>\n",
       "      <td id=\"T_457a2_row10_col1148\" class=\"data row10 col1148\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row10_col1149\" class=\"data row10 col1149\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row10_col1150\" class=\"data row10 col1150\" >2.624000</td>\n",
       "      <td id=\"T_457a2_row10_col1151\" class=\"data row10 col1151\" >2.409000</td>\n",
       "      <td id=\"T_457a2_row10_col1152\" class=\"data row10 col1152\" >2.964000</td>\n",
       "      <td id=\"T_457a2_row10_col1153\" class=\"data row10 col1153\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row10_col1154\" class=\"data row10 col1154\" >2.774000</td>\n",
       "      <td id=\"T_457a2_row10_col1155\" class=\"data row10 col1155\" >2.442000</td>\n",
       "      <td id=\"T_457a2_row10_col1156\" class=\"data row10 col1156\" >2.421000</td>\n",
       "      <td id=\"T_457a2_row10_col1157\" class=\"data row10 col1157\" >2.762000</td>\n",
       "      <td id=\"T_457a2_row10_col1158\" class=\"data row10 col1158\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row10_col1159\" class=\"data row10 col1159\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row10_col1160\" class=\"data row10 col1160\" >3.040000</td>\n",
       "      <td id=\"T_457a2_row10_col1161\" class=\"data row10 col1161\" >2.702000</td>\n",
       "      <td id=\"T_457a2_row10_col1162\" class=\"data row10 col1162\" >2.871000</td>\n",
       "      <td id=\"T_457a2_row10_col1163\" class=\"data row10 col1163\" >2.386000</td>\n",
       "      <td id=\"T_457a2_row10_col1164\" class=\"data row10 col1164\" >2.597000</td>\n",
       "      <td id=\"T_457a2_row10_col1165\" class=\"data row10 col1165\" >2.392000</td>\n",
       "      <td id=\"T_457a2_row10_col1166\" class=\"data row10 col1166\" >2.578000</td>\n",
       "      <td id=\"T_457a2_row10_col1167\" class=\"data row10 col1167\" >2.307000</td>\n",
       "      <td id=\"T_457a2_row10_col1168\" class=\"data row10 col1168\" >2.222000</td>\n",
       "      <td id=\"T_457a2_row10_col1169\" class=\"data row10 col1169\" >2.365000</td>\n",
       "      <td id=\"T_457a2_row10_col1170\" class=\"data row10 col1170\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row10_col1171\" class=\"data row10 col1171\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row10_col1172\" class=\"data row10 col1172\" >1.746000</td>\n",
       "      <td id=\"T_457a2_row10_col1173\" class=\"data row10 col1173\" >2.376000</td>\n",
       "      <td id=\"T_457a2_row10_col1174\" class=\"data row10 col1174\" >2.372000</td>\n",
       "      <td id=\"T_457a2_row10_col1175\" class=\"data row10 col1175\" >2.614000</td>\n",
       "      <td id=\"T_457a2_row10_col1176\" class=\"data row10 col1176\" >2.182000</td>\n",
       "      <td id=\"T_457a2_row10_col1177\" class=\"data row10 col1177\" >2.640000</td>\n",
       "      <td id=\"T_457a2_row10_col1178\" class=\"data row10 col1178\" >2.275000</td>\n",
       "      <td id=\"T_457a2_row10_col1179\" class=\"data row10 col1179\" >2.475000</td>\n",
       "      <td id=\"T_457a2_row10_col1180\" class=\"data row10 col1180\" >2.481000</td>\n",
       "      <td id=\"T_457a2_row10_col1181\" class=\"data row10 col1181\" >2.752000</td>\n",
       "      <td id=\"T_457a2_row10_col1182\" class=\"data row10 col1182\" >3.045000</td>\n",
       "      <td id=\"T_457a2_row10_col1183\" class=\"data row10 col1183\" >2.881000</td>\n",
       "      <td id=\"T_457a2_row10_col1184\" class=\"data row10 col1184\" >3.044000</td>\n",
       "      <td id=\"T_457a2_row10_col1185\" class=\"data row10 col1185\" >2.577000</td>\n",
       "      <td id=\"T_457a2_row10_col1186\" class=\"data row10 col1186\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row10_col1187\" class=\"data row10 col1187\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row10_col1188\" class=\"data row10 col1188\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row10_col1189\" class=\"data row10 col1189\" >3.463000</td>\n",
       "      <td id=\"T_457a2_row10_col1190\" class=\"data row10 col1190\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row10_col1191\" class=\"data row10 col1191\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row10_col1192\" class=\"data row10 col1192\" >3.173000</td>\n",
       "      <td id=\"T_457a2_row10_col1193\" class=\"data row10 col1193\" >3.499000</td>\n",
       "      <td id=\"T_457a2_row10_col1194\" class=\"data row10 col1194\" >3.054000</td>\n",
       "      <td id=\"T_457a2_row10_col1195\" class=\"data row10 col1195\" >3.851000</td>\n",
       "      <td id=\"T_457a2_row10_col1196\" class=\"data row10 col1196\" >2.709000</td>\n",
       "      <td id=\"T_457a2_row10_col1197\" class=\"data row10 col1197\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row10_col1198\" class=\"data row10 col1198\" >2.616000</td>\n",
       "      <td id=\"T_457a2_row10_col1199\" class=\"data row10 col1199\" >2.560000</td>\n",
       "      <td id=\"T_457a2_row10_col1200\" class=\"data row10 col1200\" >2.404000</td>\n",
       "      <td id=\"T_457a2_row10_col1201\" class=\"data row10 col1201\" >3.902000</td>\n",
       "      <td id=\"T_457a2_row10_col1202\" class=\"data row10 col1202\" >2.484000</td>\n",
       "      <td id=\"T_457a2_row10_col1203\" class=\"data row10 col1203\" >2.999000</td>\n",
       "      <td id=\"T_457a2_row10_col1204\" class=\"data row10 col1204\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row10_col1205\" class=\"data row10 col1205\" >3.705000</td>\n",
       "      <td id=\"T_457a2_row10_col1206\" class=\"data row10 col1206\" >4.036000</td>\n",
       "      <td id=\"T_457a2_row10_col1207\" class=\"data row10 col1207\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row10_col1208\" class=\"data row10 col1208\" >3.203000</td>\n",
       "      <td id=\"T_457a2_row10_col1209\" class=\"data row10 col1209\" >2.997000</td>\n",
       "      <td id=\"T_457a2_row10_col1210\" class=\"data row10 col1210\" >2.675000</td>\n",
       "      <td id=\"T_457a2_row10_col1211\" class=\"data row10 col1211\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row10_col1212\" class=\"data row10 col1212\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row10_col1213\" class=\"data row10 col1213\" >2.655000</td>\n",
       "      <td id=\"T_457a2_row10_col1214\" class=\"data row10 col1214\" >3.642000</td>\n",
       "      <td id=\"T_457a2_row10_col1215\" class=\"data row10 col1215\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row10_col1216\" class=\"data row10 col1216\" >3.095000</td>\n",
       "      <td id=\"T_457a2_row10_col1217\" class=\"data row10 col1217\" >2.915000</td>\n",
       "      <td id=\"T_457a2_row10_col1218\" class=\"data row10 col1218\" >3.129000</td>\n",
       "      <td id=\"T_457a2_row10_col1219\" class=\"data row10 col1219\" >2.490000</td>\n",
       "      <td id=\"T_457a2_row10_col1220\" class=\"data row10 col1220\" >2.722000</td>\n",
       "      <td id=\"T_457a2_row10_col1221\" class=\"data row10 col1221\" >2.210000</td>\n",
       "      <td id=\"T_457a2_row10_col1222\" class=\"data row10 col1222\" >2.730000</td>\n",
       "      <td id=\"T_457a2_row10_col1223\" class=\"data row10 col1223\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row10_col1224\" class=\"data row10 col1224\" >2.363000</td>\n",
       "      <td id=\"T_457a2_row10_col1225\" class=\"data row10 col1225\" >2.368000</td>\n",
       "      <td id=\"T_457a2_row10_col1226\" class=\"data row10 col1226\" >2.600000</td>\n",
       "      <td id=\"T_457a2_row10_col1227\" class=\"data row10 col1227\" >2.536000</td>\n",
       "      <td id=\"T_457a2_row10_col1228\" class=\"data row10 col1228\" >2.402000</td>\n",
       "      <td id=\"T_457a2_row10_col1229\" class=\"data row10 col1229\" >2.377000</td>\n",
       "      <td id=\"T_457a2_row10_col1230\" class=\"data row10 col1230\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row10_col1231\" class=\"data row10 col1231\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row10_col1232\" class=\"data row10 col1232\" >2.702000</td>\n",
       "      <td id=\"T_457a2_row10_col1233\" class=\"data row10 col1233\" >2.517000</td>\n",
       "      <td id=\"T_457a2_row10_col1234\" class=\"data row10 col1234\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row10_col1235\" class=\"data row10 col1235\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row10_col1236\" class=\"data row10 col1236\" >2.109000</td>\n",
       "      <td id=\"T_457a2_row10_col1237\" class=\"data row10 col1237\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row10_col1238\" class=\"data row10 col1238\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row10_col1239\" class=\"data row10 col1239\" >2.370000</td>\n",
       "      <td id=\"T_457a2_row10_col1240\" class=\"data row10 col1240\" >2.655000</td>\n",
       "      <td id=\"T_457a2_row10_col1241\" class=\"data row10 col1241\" >2.566000</td>\n",
       "      <td id=\"T_457a2_row10_col1242\" class=\"data row10 col1242\" >2.414000</td>\n",
       "      <td id=\"T_457a2_row10_col1243\" class=\"data row10 col1243\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row10_col1244\" class=\"data row10 col1244\" >2.441000</td>\n",
       "      <td id=\"T_457a2_row10_col1245\" class=\"data row10 col1245\" >2.350000</td>\n",
       "      <td id=\"T_457a2_row10_col1246\" class=\"data row10 col1246\" >3.305000</td>\n",
       "      <td id=\"T_457a2_row10_col1247\" class=\"data row10 col1247\" >3.073000</td>\n",
       "      <td id=\"T_457a2_row10_col1248\" class=\"data row10 col1248\" >2.826000</td>\n",
       "      <td id=\"T_457a2_row10_col1249\" class=\"data row10 col1249\" >2.728000</td>\n",
       "      <td id=\"T_457a2_row10_col1250\" class=\"data row10 col1250\" >3.551000</td>\n",
       "      <td id=\"T_457a2_row10_col1251\" class=\"data row10 col1251\" >2.701000</td>\n",
       "      <td id=\"T_457a2_row10_col1252\" class=\"data row10 col1252\" >2.574000</td>\n",
       "      <td id=\"T_457a2_row10_col1253\" class=\"data row10 col1253\" >2.317000</td>\n",
       "      <td id=\"T_457a2_row10_col1254\" class=\"data row10 col1254\" >2.269000</td>\n",
       "      <td id=\"T_457a2_row10_col1255\" class=\"data row10 col1255\" >3.437000</td>\n",
       "      <td id=\"T_457a2_row10_col1256\" class=\"data row10 col1256\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row10_col1257\" class=\"data row10 col1257\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row10_col1258\" class=\"data row10 col1258\" >2.945000</td>\n",
       "      <td id=\"T_457a2_row10_col1259\" class=\"data row10 col1259\" >2.740000</td>\n",
       "      <td id=\"T_457a2_row10_col1260\" class=\"data row10 col1260\" >3.217000</td>\n",
       "      <td id=\"T_457a2_row10_col1261\" class=\"data row10 col1261\" >2.744000</td>\n",
       "      <td id=\"T_457a2_row10_col1262\" class=\"data row10 col1262\" >2.793000</td>\n",
       "      <td id=\"T_457a2_row10_col1263\" class=\"data row10 col1263\" >3.128000</td>\n",
       "      <td id=\"T_457a2_row10_col1264\" class=\"data row10 col1264\" >1.610000</td>\n",
       "      <td id=\"T_457a2_row10_col1265\" class=\"data row10 col1265\" >2.220000</td>\n",
       "      <td id=\"T_457a2_row10_col1266\" class=\"data row10 col1266\" >1.939000</td>\n",
       "      <td id=\"T_457a2_row10_col1267\" class=\"data row10 col1267\" >2.048000</td>\n",
       "      <td id=\"T_457a2_row10_col1268\" class=\"data row10 col1268\" >2.167000</td>\n",
       "      <td id=\"T_457a2_row10_col1269\" class=\"data row10 col1269\" >2.314000</td>\n",
       "      <td id=\"T_457a2_row10_col1270\" class=\"data row10 col1270\" >2.202000</td>\n",
       "      <td id=\"T_457a2_row10_col1271\" class=\"data row10 col1271\" >2.548000</td>\n",
       "      <td id=\"T_457a2_row10_col1272\" class=\"data row10 col1272\" >1.635000</td>\n",
       "      <td id=\"T_457a2_row10_col1273\" class=\"data row10 col1273\" >2.269000</td>\n",
       "      <td id=\"T_457a2_row10_col1274\" class=\"data row10 col1274\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row10_col1275\" class=\"data row10 col1275\" >2.833000</td>\n",
       "      <td id=\"T_457a2_row10_col1276\" class=\"data row10 col1276\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row10_col1277\" class=\"data row10 col1277\" >2.616000</td>\n",
       "      <td id=\"T_457a2_row10_col1278\" class=\"data row10 col1278\" >2.097000</td>\n",
       "      <td id=\"T_457a2_row10_col1279\" class=\"data row10 col1279\" >2.181000</td>\n",
       "      <td id=\"T_457a2_row10_col1280\" class=\"data row10 col1280\" >2.085000</td>\n",
       "      <td id=\"T_457a2_row10_col1281\" class=\"data row10 col1281\" >2.940000</td>\n",
       "      <td id=\"T_457a2_row10_col1282\" class=\"data row10 col1282\" >2.242000</td>\n",
       "      <td id=\"T_457a2_row10_col1283\" class=\"data row10 col1283\" >2.330000</td>\n",
       "      <td id=\"T_457a2_row10_col1284\" class=\"data row10 col1284\" >2.867000</td>\n",
       "      <td id=\"T_457a2_row10_col1285\" class=\"data row10 col1285\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row10_col1286\" class=\"data row10 col1286\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row10_col1287\" class=\"data row10 col1287\" >2.553000</td>\n",
       "      <td id=\"T_457a2_row10_col1288\" class=\"data row10 col1288\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row10_col1289\" class=\"data row10 col1289\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row10_col1290\" class=\"data row10 col1290\" >2.542000</td>\n",
       "      <td id=\"T_457a2_row10_col1291\" class=\"data row10 col1291\" >2.705000</td>\n",
       "      <td id=\"T_457a2_row10_col1292\" class=\"data row10 col1292\" >2.032000</td>\n",
       "      <td id=\"T_457a2_row10_col1293\" class=\"data row10 col1293\" >2.464000</td>\n",
       "      <td id=\"T_457a2_row10_col1294\" class=\"data row10 col1294\" >3.171000</td>\n",
       "      <td id=\"T_457a2_row10_col1295\" class=\"data row10 col1295\" >3.062000</td>\n",
       "      <td id=\"T_457a2_row10_col1296\" class=\"data row10 col1296\" >3.497000</td>\n",
       "      <td id=\"T_457a2_row10_col1297\" class=\"data row10 col1297\" >3.238000</td>\n",
       "      <td id=\"T_457a2_row10_col1298\" class=\"data row10 col1298\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row10_col1299\" class=\"data row10 col1299\" >2.343000</td>\n",
       "      <td id=\"T_457a2_row10_col1300\" class=\"data row10 col1300\" >2.293000</td>\n",
       "      <td id=\"T_457a2_row10_col1301\" class=\"data row10 col1301\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row10_col1302\" class=\"data row10 col1302\" >1.831000</td>\n",
       "      <td id=\"T_457a2_row10_col1303\" class=\"data row10 col1303\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row10_col1304\" class=\"data row10 col1304\" >2.652000</td>\n",
       "      <td id=\"T_457a2_row10_col1305\" class=\"data row10 col1305\" >1.925000</td>\n",
       "      <td id=\"T_457a2_row10_col1306\" class=\"data row10 col1306\" >3.175000</td>\n",
       "      <td id=\"T_457a2_row10_col1307\" class=\"data row10 col1307\" >2.457000</td>\n",
       "      <td id=\"T_457a2_row10_col1308\" class=\"data row10 col1308\" >2.312000</td>\n",
       "      <td id=\"T_457a2_row10_col1309\" class=\"data row10 col1309\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row10_col1310\" class=\"data row10 col1310\" >2.366000</td>\n",
       "      <td id=\"T_457a2_row10_col1311\" class=\"data row10 col1311\" >2.157000</td>\n",
       "      <td id=\"T_457a2_row10_col1312\" class=\"data row10 col1312\" >2.181000</td>\n",
       "      <td id=\"T_457a2_row10_col1313\" class=\"data row10 col1313\" >2.140000</td>\n",
       "      <td id=\"T_457a2_row10_col1314\" class=\"data row10 col1314\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row10_col1315\" class=\"data row10 col1315\" >2.153000</td>\n",
       "      <td id=\"T_457a2_row10_col1316\" class=\"data row10 col1316\" >1.705000</td>\n",
       "      <td id=\"T_457a2_row10_col1317\" class=\"data row10 col1317\" >2.881000</td>\n",
       "      <td id=\"T_457a2_row10_col1318\" class=\"data row10 col1318\" >2.515000</td>\n",
       "      <td id=\"T_457a2_row10_col1319\" class=\"data row10 col1319\" >3.061000</td>\n",
       "      <td id=\"T_457a2_row10_col1320\" class=\"data row10 col1320\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row10_col1321\" class=\"data row10 col1321\" >2.469000</td>\n",
       "      <td id=\"T_457a2_row10_col1322\" class=\"data row10 col1322\" >3.123000</td>\n",
       "      <td id=\"T_457a2_row10_col1323\" class=\"data row10 col1323\" >2.552000</td>\n",
       "      <td id=\"T_457a2_row10_col1324\" class=\"data row10 col1324\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row10_col1325\" class=\"data row10 col1325\" >2.498000</td>\n",
       "      <td id=\"T_457a2_row10_col1326\" class=\"data row10 col1326\" >3.147000</td>\n",
       "      <td id=\"T_457a2_row10_col1327\" class=\"data row10 col1327\" >1.695000</td>\n",
       "      <td id=\"T_457a2_row10_col1328\" class=\"data row10 col1328\" >1.913000</td>\n",
       "      <td id=\"T_457a2_row10_col1329\" class=\"data row10 col1329\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row10_col1330\" class=\"data row10 col1330\" >2.274000</td>\n",
       "      <td id=\"T_457a2_row10_col1331\" class=\"data row10 col1331\" >2.254000</td>\n",
       "      <td id=\"T_457a2_row10_col1332\" class=\"data row10 col1332\" >2.500000</td>\n",
       "      <td id=\"T_457a2_row10_col1333\" class=\"data row10 col1333\" >2.540000</td>\n",
       "      <td id=\"T_457a2_row10_col1334\" class=\"data row10 col1334\" >2.281000</td>\n",
       "      <td id=\"T_457a2_row10_col1335\" class=\"data row10 col1335\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row10_col1336\" class=\"data row10 col1336\" >2.575000</td>\n",
       "      <td id=\"T_457a2_row10_col1337\" class=\"data row10 col1337\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row10_col1338\" class=\"data row10 col1338\" >2.140000</td>\n",
       "      <td id=\"T_457a2_row10_col1339\" class=\"data row10 col1339\" >2.836000</td>\n",
       "      <td id=\"T_457a2_row10_col1340\" class=\"data row10 col1340\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row10_col1341\" class=\"data row10 col1341\" >2.494000</td>\n",
       "      <td id=\"T_457a2_row10_col1342\" class=\"data row10 col1342\" >2.143000</td>\n",
       "      <td id=\"T_457a2_row10_col1343\" class=\"data row10 col1343\" >2.108000</td>\n",
       "      <td id=\"T_457a2_row10_col1344\" class=\"data row10 col1344\" >2.212000</td>\n",
       "      <td id=\"T_457a2_row10_col1345\" class=\"data row10 col1345\" >2.214000</td>\n",
       "      <td id=\"T_457a2_row10_col1346\" class=\"data row10 col1346\" >2.406000</td>\n",
       "      <td id=\"T_457a2_row10_col1347\" class=\"data row10 col1347\" >1.860000</td>\n",
       "      <td id=\"T_457a2_row10_col1348\" class=\"data row10 col1348\" >2.303000</td>\n",
       "      <td id=\"T_457a2_row10_col1349\" class=\"data row10 col1349\" >1.988000</td>\n",
       "      <td id=\"T_457a2_row10_col1350\" class=\"data row10 col1350\" >2.233000</td>\n",
       "      <td id=\"T_457a2_row10_col1351\" class=\"data row10 col1351\" >2.241000</td>\n",
       "      <td id=\"T_457a2_row10_col1352\" class=\"data row10 col1352\" >1.830000</td>\n",
       "      <td id=\"T_457a2_row10_col1353\" class=\"data row10 col1353\" >2.486000</td>\n",
       "      <td id=\"T_457a2_row10_col1354\" class=\"data row10 col1354\" >2.668000</td>\n",
       "      <td id=\"T_457a2_row10_col1355\" class=\"data row10 col1355\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row10_col1356\" class=\"data row10 col1356\" >1.644000</td>\n",
       "      <td id=\"T_457a2_row10_col1357\" class=\"data row10 col1357\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row10_col1358\" class=\"data row10 col1358\" >2.236000</td>\n",
       "      <td id=\"T_457a2_row10_col1359\" class=\"data row10 col1359\" >2.264000</td>\n",
       "      <td id=\"T_457a2_row10_col1360\" class=\"data row10 col1360\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row10_col1361\" class=\"data row10 col1361\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row10_col1362\" class=\"data row10 col1362\" >2.813000</td>\n",
       "      <td id=\"T_457a2_row10_col1363\" class=\"data row10 col1363\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row10_col1364\" class=\"data row10 col1364\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row10_col1365\" class=\"data row10 col1365\" >2.292000</td>\n",
       "      <td id=\"T_457a2_row10_col1366\" class=\"data row10 col1366\" >2.428000</td>\n",
       "      <td id=\"T_457a2_row10_col1367\" class=\"data row10 col1367\" >2.503000</td>\n",
       "      <td id=\"T_457a2_row10_col1368\" class=\"data row10 col1368\" >2.792000</td>\n",
       "      <td id=\"T_457a2_row10_col1369\" class=\"data row10 col1369\" >3.637000</td>\n",
       "      <td id=\"T_457a2_row10_col1370\" class=\"data row10 col1370\" >2.961000</td>\n",
       "      <td id=\"T_457a2_row10_col1371\" class=\"data row10 col1371\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row10_col1372\" class=\"data row10 col1372\" >2.787000</td>\n",
       "      <td id=\"T_457a2_row10_col1373\" class=\"data row10 col1373\" >3.154000</td>\n",
       "      <td id=\"T_457a2_row10_col1374\" class=\"data row10 col1374\" >2.594000</td>\n",
       "      <td id=\"T_457a2_row10_col1375\" class=\"data row10 col1375\" >3.597000</td>\n",
       "      <td id=\"T_457a2_row10_col1376\" class=\"data row10 col1376\" >2.629000</td>\n",
       "      <td id=\"T_457a2_row10_col1377\" class=\"data row10 col1377\" >2.013000</td>\n",
       "      <td id=\"T_457a2_row10_col1378\" class=\"data row10 col1378\" >2.366000</td>\n",
       "      <td id=\"T_457a2_row10_col1379\" class=\"data row10 col1379\" >2.164000</td>\n",
       "      <td id=\"T_457a2_row10_col1380\" class=\"data row10 col1380\" >2.348000</td>\n",
       "      <td id=\"T_457a2_row10_col1381\" class=\"data row10 col1381\" >3.054000</td>\n",
       "      <td id=\"T_457a2_row10_col1382\" class=\"data row10 col1382\" >2.211000</td>\n",
       "      <td id=\"T_457a2_row10_col1383\" class=\"data row10 col1383\" >3.461000</td>\n",
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       "      <td id=\"T_457a2_row10_col1385\" class=\"data row10 col1385\" >3.730000</td>\n",
       "      <td id=\"T_457a2_row10_col1386\" class=\"data row10 col1386\" >3.999000</td>\n",
       "      <td id=\"T_457a2_row10_col1387\" class=\"data row10 col1387\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row10_col1388\" class=\"data row10 col1388\" >2.933000</td>\n",
       "      <td id=\"T_457a2_row10_col1389\" class=\"data row10 col1389\" >3.310000</td>\n",
       "      <td id=\"T_457a2_row10_col1390\" class=\"data row10 col1390\" >2.500000</td>\n",
       "      <td id=\"T_457a2_row10_col1391\" class=\"data row10 col1391\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row10_col1392\" class=\"data row10 col1392\" >2.617000</td>\n",
       "      <td id=\"T_457a2_row10_col1393\" class=\"data row10 col1393\" >2.921000</td>\n",
       "      <td id=\"T_457a2_row10_col1394\" class=\"data row10 col1394\" >3.681000</td>\n",
       "      <td id=\"T_457a2_row10_col1395\" class=\"data row10 col1395\" >3.491000</td>\n",
       "      <td id=\"T_457a2_row10_col1396\" class=\"data row10 col1396\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row10_col1397\" class=\"data row10 col1397\" >2.976000</td>\n",
       "      <td id=\"T_457a2_row10_col1398\" class=\"data row10 col1398\" >2.889000</td>\n",
       "      <td id=\"T_457a2_row10_col1399\" class=\"data row10 col1399\" >2.700000</td>\n",
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       "      <td id=\"T_457a2_row10_col1403\" class=\"data row10 col1403\" >2.564000</td>\n",
       "      <td id=\"T_457a2_row10_col1404\" class=\"data row10 col1404\" >2.479000</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_457a2_row11_col1109\" class=\"data row11 col1109\" >2.838000</td>\n",
       "      <td id=\"T_457a2_row11_col1110\" class=\"data row11 col1110\" >1.878000</td>\n",
       "      <td id=\"T_457a2_row11_col1111\" class=\"data row11 col1111\" >2.490000</td>\n",
       "      <td id=\"T_457a2_row11_col1112\" class=\"data row11 col1112\" >1.750000</td>\n",
       "      <td id=\"T_457a2_row11_col1113\" class=\"data row11 col1113\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row11_col1114\" class=\"data row11 col1114\" >2.402000</td>\n",
       "      <td id=\"T_457a2_row11_col1115\" class=\"data row11 col1115\" >2.907000</td>\n",
       "      <td id=\"T_457a2_row11_col1116\" class=\"data row11 col1116\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row11_col1117\" class=\"data row11 col1117\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row11_col1118\" class=\"data row11 col1118\" >2.580000</td>\n",
       "      <td id=\"T_457a2_row11_col1119\" class=\"data row11 col1119\" >2.118000</td>\n",
       "      <td id=\"T_457a2_row11_col1120\" class=\"data row11 col1120\" >1.938000</td>\n",
       "      <td id=\"T_457a2_row11_col1121\" class=\"data row11 col1121\" >1.983000</td>\n",
       "      <td id=\"T_457a2_row11_col1122\" class=\"data row11 col1122\" >2.026000</td>\n",
       "      <td id=\"T_457a2_row11_col1123\" class=\"data row11 col1123\" >2.160000</td>\n",
       "      <td id=\"T_457a2_row11_col1124\" class=\"data row11 col1124\" >2.177000</td>\n",
       "      <td id=\"T_457a2_row11_col1125\" class=\"data row11 col1125\" >2.093000</td>\n",
       "      <td id=\"T_457a2_row11_col1126\" class=\"data row11 col1126\" >2.929000</td>\n",
       "      <td id=\"T_457a2_row11_col1127\" class=\"data row11 col1127\" >2.707000</td>\n",
       "      <td id=\"T_457a2_row11_col1128\" class=\"data row11 col1128\" >2.266000</td>\n",
       "      <td id=\"T_457a2_row11_col1129\" class=\"data row11 col1129\" >1.927000</td>\n",
       "      <td id=\"T_457a2_row11_col1130\" class=\"data row11 col1130\" >2.331000</td>\n",
       "      <td id=\"T_457a2_row11_col1131\" class=\"data row11 col1131\" >1.615000</td>\n",
       "      <td id=\"T_457a2_row11_col1132\" class=\"data row11 col1132\" >2.651000</td>\n",
       "      <td id=\"T_457a2_row11_col1133\" class=\"data row11 col1133\" >1.857000</td>\n",
       "      <td id=\"T_457a2_row11_col1134\" class=\"data row11 col1134\" >1.999000</td>\n",
       "      <td id=\"T_457a2_row11_col1135\" class=\"data row11 col1135\" >1.824000</td>\n",
       "      <td id=\"T_457a2_row11_col1136\" class=\"data row11 col1136\" >1.860000</td>\n",
       "      <td id=\"T_457a2_row11_col1137\" class=\"data row11 col1137\" >2.796000</td>\n",
       "      <td id=\"T_457a2_row11_col1138\" class=\"data row11 col1138\" >2.396000</td>\n",
       "      <td id=\"T_457a2_row11_col1139\" class=\"data row11 col1139\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row11_col1140\" class=\"data row11 col1140\" >2.505000</td>\n",
       "      <td id=\"T_457a2_row11_col1141\" class=\"data row11 col1141\" >2.242000</td>\n",
       "      <td id=\"T_457a2_row11_col1142\" class=\"data row11 col1142\" >2.904000</td>\n",
       "      <td id=\"T_457a2_row11_col1143\" class=\"data row11 col1143\" >2.486000</td>\n",
       "      <td id=\"T_457a2_row11_col1144\" class=\"data row11 col1144\" >2.878000</td>\n",
       "      <td id=\"T_457a2_row11_col1145\" class=\"data row11 col1145\" >2.581000</td>\n",
       "      <td id=\"T_457a2_row11_col1146\" class=\"data row11 col1146\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row11_col1147\" class=\"data row11 col1147\" >2.097000</td>\n",
       "      <td id=\"T_457a2_row11_col1148\" class=\"data row11 col1148\" >1.937000</td>\n",
       "      <td id=\"T_457a2_row11_col1149\" class=\"data row11 col1149\" >2.537000</td>\n",
       "      <td id=\"T_457a2_row11_col1150\" class=\"data row11 col1150\" >3.002000</td>\n",
       "      <td id=\"T_457a2_row11_col1151\" class=\"data row11 col1151\" >2.205000</td>\n",
       "      <td id=\"T_457a2_row11_col1152\" class=\"data row11 col1152\" >2.652000</td>\n",
       "      <td id=\"T_457a2_row11_col1153\" class=\"data row11 col1153\" >2.894000</td>\n",
       "      <td id=\"T_457a2_row11_col1154\" class=\"data row11 col1154\" >2.121000</td>\n",
       "      <td id=\"T_457a2_row11_col1155\" class=\"data row11 col1155\" >2.400000</td>\n",
       "      <td id=\"T_457a2_row11_col1156\" class=\"data row11 col1156\" >2.228000</td>\n",
       "      <td id=\"T_457a2_row11_col1157\" class=\"data row11 col1157\" >2.230000</td>\n",
       "      <td id=\"T_457a2_row11_col1158\" class=\"data row11 col1158\" >2.039000</td>\n",
       "      <td id=\"T_457a2_row11_col1159\" class=\"data row11 col1159\" >2.357000</td>\n",
       "      <td id=\"T_457a2_row11_col1160\" class=\"data row11 col1160\" >2.349000</td>\n",
       "      <td id=\"T_457a2_row11_col1161\" class=\"data row11 col1161\" >2.177000</td>\n",
       "      <td id=\"T_457a2_row11_col1162\" class=\"data row11 col1162\" >1.972000</td>\n",
       "      <td id=\"T_457a2_row11_col1163\" class=\"data row11 col1163\" >1.998000</td>\n",
       "      <td id=\"T_457a2_row11_col1164\" class=\"data row11 col1164\" >2.121000</td>\n",
       "      <td id=\"T_457a2_row11_col1165\" class=\"data row11 col1165\" >2.426000</td>\n",
       "      <td id=\"T_457a2_row11_col1166\" class=\"data row11 col1166\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row11_col1167\" class=\"data row11 col1167\" >2.285000</td>\n",
       "      <td id=\"T_457a2_row11_col1168\" class=\"data row11 col1168\" >2.211000</td>\n",
       "      <td id=\"T_457a2_row11_col1169\" class=\"data row11 col1169\" >2.112000</td>\n",
       "      <td id=\"T_457a2_row11_col1170\" class=\"data row11 col1170\" >2.349000</td>\n",
       "      <td id=\"T_457a2_row11_col1171\" class=\"data row11 col1171\" >2.730000</td>\n",
       "      <td id=\"T_457a2_row11_col1172\" class=\"data row11 col1172\" >1.798000</td>\n",
       "      <td id=\"T_457a2_row11_col1173\" class=\"data row11 col1173\" >1.956000</td>\n",
       "      <td id=\"T_457a2_row11_col1174\" class=\"data row11 col1174\" >2.393000</td>\n",
       "      <td id=\"T_457a2_row11_col1175\" class=\"data row11 col1175\" >2.454000</td>\n",
       "      <td id=\"T_457a2_row11_col1176\" class=\"data row11 col1176\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row11_col1177\" class=\"data row11 col1177\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row11_col1178\" class=\"data row11 col1178\" >1.883000</td>\n",
       "      <td id=\"T_457a2_row11_col1179\" class=\"data row11 col1179\" >2.327000</td>\n",
       "      <td id=\"T_457a2_row11_col1180\" class=\"data row11 col1180\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row11_col1181\" class=\"data row11 col1181\" >2.841000</td>\n",
       "      <td id=\"T_457a2_row11_col1182\" class=\"data row11 col1182\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row11_col1183\" class=\"data row11 col1183\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row11_col1184\" class=\"data row11 col1184\" >2.182000</td>\n",
       "      <td id=\"T_457a2_row11_col1185\" class=\"data row11 col1185\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row11_col1186\" class=\"data row11 col1186\" >2.134000</td>\n",
       "      <td id=\"T_457a2_row11_col1187\" class=\"data row11 col1187\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row11_col1188\" class=\"data row11 col1188\" >2.261000</td>\n",
       "      <td id=\"T_457a2_row11_col1189\" class=\"data row11 col1189\" >3.503000</td>\n",
       "      <td id=\"T_457a2_row11_col1190\" class=\"data row11 col1190\" >2.997000</td>\n",
       "      <td id=\"T_457a2_row11_col1191\" class=\"data row11 col1191\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row11_col1192\" class=\"data row11 col1192\" >3.058000</td>\n",
       "      <td id=\"T_457a2_row11_col1193\" class=\"data row11 col1193\" >3.170000</td>\n",
       "      <td id=\"T_457a2_row11_col1194\" class=\"data row11 col1194\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row11_col1195\" class=\"data row11 col1195\" >3.693000</td>\n",
       "      <td id=\"T_457a2_row11_col1196\" class=\"data row11 col1196\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row11_col1197\" class=\"data row11 col1197\" >1.954000</td>\n",
       "      <td id=\"T_457a2_row11_col1198\" class=\"data row11 col1198\" >2.057000</td>\n",
       "      <td id=\"T_457a2_row11_col1199\" class=\"data row11 col1199\" >2.128000</td>\n",
       "      <td id=\"T_457a2_row11_col1200\" class=\"data row11 col1200\" >1.822000</td>\n",
       "      <td id=\"T_457a2_row11_col1201\" class=\"data row11 col1201\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row11_col1202\" class=\"data row11 col1202\" >2.001000</td>\n",
       "      <td id=\"T_457a2_row11_col1203\" class=\"data row11 col1203\" >2.505000</td>\n",
       "      <td id=\"T_457a2_row11_col1204\" class=\"data row11 col1204\" >1.987000</td>\n",
       "      <td id=\"T_457a2_row11_col1205\" class=\"data row11 col1205\" >2.920000</td>\n",
       "      <td id=\"T_457a2_row11_col1206\" class=\"data row11 col1206\" >3.845000</td>\n",
       "      <td id=\"T_457a2_row11_col1207\" class=\"data row11 col1207\" >2.164000</td>\n",
       "      <td id=\"T_457a2_row11_col1208\" class=\"data row11 col1208\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row11_col1209\" class=\"data row11 col1209\" >3.015000</td>\n",
       "      <td id=\"T_457a2_row11_col1210\" class=\"data row11 col1210\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row11_col1211\" class=\"data row11 col1211\" >2.218000</td>\n",
       "      <td id=\"T_457a2_row11_col1212\" class=\"data row11 col1212\" >2.071000</td>\n",
       "      <td id=\"T_457a2_row11_col1213\" class=\"data row11 col1213\" >2.309000</td>\n",
       "      <td id=\"T_457a2_row11_col1214\" class=\"data row11 col1214\" >3.342000</td>\n",
       "      <td id=\"T_457a2_row11_col1215\" class=\"data row11 col1215\" >2.993000</td>\n",
       "      <td id=\"T_457a2_row11_col1216\" class=\"data row11 col1216\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row11_col1217\" class=\"data row11 col1217\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row11_col1218\" class=\"data row11 col1218\" >2.471000</td>\n",
       "      <td id=\"T_457a2_row11_col1219\" class=\"data row11 col1219\" >2.503000</td>\n",
       "      <td id=\"T_457a2_row11_col1220\" class=\"data row11 col1220\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row11_col1221\" class=\"data row11 col1221\" >2.423000</td>\n",
       "      <td id=\"T_457a2_row11_col1222\" class=\"data row11 col1222\" >2.221000</td>\n",
       "      <td id=\"T_457a2_row11_col1223\" class=\"data row11 col1223\" >1.972000</td>\n",
       "      <td id=\"T_457a2_row11_col1224\" class=\"data row11 col1224\" >2.032000</td>\n",
       "      <td id=\"T_457a2_row11_col1225\" class=\"data row11 col1225\" >1.966000</td>\n",
       "      <td id=\"T_457a2_row11_col1226\" class=\"data row11 col1226\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row11_col1227\" class=\"data row11 col1227\" >2.229000</td>\n",
       "      <td id=\"T_457a2_row11_col1228\" class=\"data row11 col1228\" >2.223000</td>\n",
       "      <td id=\"T_457a2_row11_col1229\" class=\"data row11 col1229\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row11_col1230\" class=\"data row11 col1230\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row11_col1231\" class=\"data row11 col1231\" >2.449000</td>\n",
       "      <td id=\"T_457a2_row11_col1232\" class=\"data row11 col1232\" >2.334000</td>\n",
       "      <td id=\"T_457a2_row11_col1233\" class=\"data row11 col1233\" >2.130000</td>\n",
       "      <td id=\"T_457a2_row11_col1234\" class=\"data row11 col1234\" >2.624000</td>\n",
       "      <td id=\"T_457a2_row11_col1235\" class=\"data row11 col1235\" >2.423000</td>\n",
       "      <td id=\"T_457a2_row11_col1236\" class=\"data row11 col1236\" >2.195000</td>\n",
       "      <td id=\"T_457a2_row11_col1237\" class=\"data row11 col1237\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row11_col1238\" class=\"data row11 col1238\" >2.110000</td>\n",
       "      <td id=\"T_457a2_row11_col1239\" class=\"data row11 col1239\" >2.612000</td>\n",
       "      <td id=\"T_457a2_row11_col1240\" class=\"data row11 col1240\" >2.038000</td>\n",
       "      <td id=\"T_457a2_row11_col1241\" class=\"data row11 col1241\" >1.891000</td>\n",
       "      <td id=\"T_457a2_row11_col1242\" class=\"data row11 col1242\" >1.933000</td>\n",
       "      <td id=\"T_457a2_row11_col1243\" class=\"data row11 col1243\" >2.225000</td>\n",
       "      <td id=\"T_457a2_row11_col1244\" class=\"data row11 col1244\" >2.294000</td>\n",
       "      <td id=\"T_457a2_row11_col1245\" class=\"data row11 col1245\" >2.443000</td>\n",
       "      <td id=\"T_457a2_row11_col1246\" class=\"data row11 col1246\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row11_col1247\" class=\"data row11 col1247\" >3.338000</td>\n",
       "      <td id=\"T_457a2_row11_col1248\" class=\"data row11 col1248\" >1.868000</td>\n",
       "      <td id=\"T_457a2_row11_col1249\" class=\"data row11 col1249\" >2.911000</td>\n",
       "      <td id=\"T_457a2_row11_col1250\" class=\"data row11 col1250\" >3.342000</td>\n",
       "      <td id=\"T_457a2_row11_col1251\" class=\"data row11 col1251\" >2.727000</td>\n",
       "      <td id=\"T_457a2_row11_col1252\" class=\"data row11 col1252\" >2.189000</td>\n",
       "      <td id=\"T_457a2_row11_col1253\" class=\"data row11 col1253\" >2.322000</td>\n",
       "      <td id=\"T_457a2_row11_col1254\" class=\"data row11 col1254\" >1.973000</td>\n",
       "      <td id=\"T_457a2_row11_col1255\" class=\"data row11 col1255\" >3.336000</td>\n",
       "      <td id=\"T_457a2_row11_col1256\" class=\"data row11 col1256\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row11_col1257\" class=\"data row11 col1257\" >2.172000</td>\n",
       "      <td id=\"T_457a2_row11_col1258\" class=\"data row11 col1258\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row11_col1259\" class=\"data row11 col1259\" >2.412000</td>\n",
       "      <td id=\"T_457a2_row11_col1260\" class=\"data row11 col1260\" >2.439000</td>\n",
       "      <td id=\"T_457a2_row11_col1261\" class=\"data row11 col1261\" >2.774000</td>\n",
       "      <td id=\"T_457a2_row11_col1262\" class=\"data row11 col1262\" >2.047000</td>\n",
       "      <td id=\"T_457a2_row11_col1263\" class=\"data row11 col1263\" >3.228000</td>\n",
       "      <td id=\"T_457a2_row11_col1264\" class=\"data row11 col1264\" >1.616000</td>\n",
       "      <td id=\"T_457a2_row11_col1265\" class=\"data row11 col1265\" >1.874000</td>\n",
       "      <td id=\"T_457a2_row11_col1266\" class=\"data row11 col1266\" >1.778000</td>\n",
       "      <td id=\"T_457a2_row11_col1267\" class=\"data row11 col1267\" >2.014000</td>\n",
       "      <td id=\"T_457a2_row11_col1268\" class=\"data row11 col1268\" >1.962000</td>\n",
       "      <td id=\"T_457a2_row11_col1269\" class=\"data row11 col1269\" >1.988000</td>\n",
       "      <td id=\"T_457a2_row11_col1270\" class=\"data row11 col1270\" >2.164000</td>\n",
       "      <td id=\"T_457a2_row11_col1271\" class=\"data row11 col1271\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row11_col1272\" class=\"data row11 col1272\" >1.370000</td>\n",
       "      <td id=\"T_457a2_row11_col1273\" class=\"data row11 col1273\" >2.286000</td>\n",
       "      <td id=\"T_457a2_row11_col1274\" class=\"data row11 col1274\" >1.955000</td>\n",
       "      <td id=\"T_457a2_row11_col1275\" class=\"data row11 col1275\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row11_col1276\" class=\"data row11 col1276\" >1.909000</td>\n",
       "      <td id=\"T_457a2_row11_col1277\" class=\"data row11 col1277\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row11_col1278\" class=\"data row11 col1278\" >2.193000</td>\n",
       "      <td id=\"T_457a2_row11_col1279\" class=\"data row11 col1279\" >2.275000</td>\n",
       "      <td id=\"T_457a2_row11_col1280\" class=\"data row11 col1280\" >1.966000</td>\n",
       "      <td id=\"T_457a2_row11_col1281\" class=\"data row11 col1281\" >2.643000</td>\n",
       "      <td id=\"T_457a2_row11_col1282\" class=\"data row11 col1282\" >1.823000</td>\n",
       "      <td id=\"T_457a2_row11_col1283\" class=\"data row11 col1283\" >2.011000</td>\n",
       "      <td id=\"T_457a2_row11_col1284\" class=\"data row11 col1284\" >2.449000</td>\n",
       "      <td id=\"T_457a2_row11_col1285\" class=\"data row11 col1285\" >2.291000</td>\n",
       "      <td id=\"T_457a2_row11_col1286\" class=\"data row11 col1286\" >2.082000</td>\n",
       "      <td id=\"T_457a2_row11_col1287\" class=\"data row11 col1287\" >2.306000</td>\n",
       "      <td id=\"T_457a2_row11_col1288\" class=\"data row11 col1288\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row11_col1289\" class=\"data row11 col1289\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row11_col1290\" class=\"data row11 col1290\" >2.162000</td>\n",
       "      <td id=\"T_457a2_row11_col1291\" class=\"data row11 col1291\" >2.295000</td>\n",
       "      <td id=\"T_457a2_row11_col1292\" class=\"data row11 col1292\" >2.520000</td>\n",
       "      <td id=\"T_457a2_row11_col1293\" class=\"data row11 col1293\" >2.381000</td>\n",
       "      <td id=\"T_457a2_row11_col1294\" class=\"data row11 col1294\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row11_col1295\" class=\"data row11 col1295\" >3.036000</td>\n",
       "      <td id=\"T_457a2_row11_col1296\" class=\"data row11 col1296\" >2.717000</td>\n",
       "      <td id=\"T_457a2_row11_col1297\" class=\"data row11 col1297\" >2.869000</td>\n",
       "      <td id=\"T_457a2_row11_col1298\" class=\"data row11 col1298\" >2.093000</td>\n",
       "      <td id=\"T_457a2_row11_col1299\" class=\"data row11 col1299\" >1.975000</td>\n",
       "      <td id=\"T_457a2_row11_col1300\" class=\"data row11 col1300\" >1.890000</td>\n",
       "      <td id=\"T_457a2_row11_col1301\" class=\"data row11 col1301\" >1.770000</td>\n",
       "      <td id=\"T_457a2_row11_col1302\" class=\"data row11 col1302\" >2.129000</td>\n",
       "      <td id=\"T_457a2_row11_col1303\" class=\"data row11 col1303\" >1.932000</td>\n",
       "      <td id=\"T_457a2_row11_col1304\" class=\"data row11 col1304\" >2.083000</td>\n",
       "      <td id=\"T_457a2_row11_col1305\" class=\"data row11 col1305\" >1.913000</td>\n",
       "      <td id=\"T_457a2_row11_col1306\" class=\"data row11 col1306\" >2.775000</td>\n",
       "      <td id=\"T_457a2_row11_col1307\" class=\"data row11 col1307\" >2.602000</td>\n",
       "      <td id=\"T_457a2_row11_col1308\" class=\"data row11 col1308\" >2.049000</td>\n",
       "      <td id=\"T_457a2_row11_col1309\" class=\"data row11 col1309\" >2.134000</td>\n",
       "      <td id=\"T_457a2_row11_col1310\" class=\"data row11 col1310\" >2.169000</td>\n",
       "      <td id=\"T_457a2_row11_col1311\" class=\"data row11 col1311\" >1.497000</td>\n",
       "      <td id=\"T_457a2_row11_col1312\" class=\"data row11 col1312\" >2.612000</td>\n",
       "      <td id=\"T_457a2_row11_col1313\" class=\"data row11 col1313\" >1.991000</td>\n",
       "      <td id=\"T_457a2_row11_col1314\" class=\"data row11 col1314\" >2.093000</td>\n",
       "      <td id=\"T_457a2_row11_col1315\" class=\"data row11 col1315\" >1.685000</td>\n",
       "      <td id=\"T_457a2_row11_col1316\" class=\"data row11 col1316\" >1.557000</td>\n",
       "      <td id=\"T_457a2_row11_col1317\" class=\"data row11 col1317\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row11_col1318\" class=\"data row11 col1318\" >2.458000</td>\n",
       "      <td id=\"T_457a2_row11_col1319\" class=\"data row11 col1319\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row11_col1320\" class=\"data row11 col1320\" >2.185000</td>\n",
       "      <td id=\"T_457a2_row11_col1321\" class=\"data row11 col1321\" >2.410000</td>\n",
       "      <td id=\"T_457a2_row11_col1322\" class=\"data row11 col1322\" >1.931000</td>\n",
       "      <td id=\"T_457a2_row11_col1323\" class=\"data row11 col1323\" >2.209000</td>\n",
       "      <td id=\"T_457a2_row11_col1324\" class=\"data row11 col1324\" >2.119000</td>\n",
       "      <td id=\"T_457a2_row11_col1325\" class=\"data row11 col1325\" >2.369000</td>\n",
       "      <td id=\"T_457a2_row11_col1326\" class=\"data row11 col1326\" >2.915000</td>\n",
       "      <td id=\"T_457a2_row11_col1327\" class=\"data row11 col1327\" >1.639000</td>\n",
       "      <td id=\"T_457a2_row11_col1328\" class=\"data row11 col1328\" >1.753000</td>\n",
       "      <td id=\"T_457a2_row11_col1329\" class=\"data row11 col1329\" >3.141000</td>\n",
       "      <td id=\"T_457a2_row11_col1330\" class=\"data row11 col1330\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row11_col1331\" class=\"data row11 col1331\" >1.982000</td>\n",
       "      <td id=\"T_457a2_row11_col1332\" class=\"data row11 col1332\" >2.234000</td>\n",
       "      <td id=\"T_457a2_row11_col1333\" class=\"data row11 col1333\" >2.764000</td>\n",
       "      <td id=\"T_457a2_row11_col1334\" class=\"data row11 col1334\" >2.055000</td>\n",
       "      <td id=\"T_457a2_row11_col1335\" class=\"data row11 col1335\" >2.289000</td>\n",
       "      <td id=\"T_457a2_row11_col1336\" class=\"data row11 col1336\" >2.313000</td>\n",
       "      <td id=\"T_457a2_row11_col1337\" class=\"data row11 col1337\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row11_col1338\" class=\"data row11 col1338\" >2.218000</td>\n",
       "      <td id=\"T_457a2_row11_col1339\" class=\"data row11 col1339\" >2.732000</td>\n",
       "      <td id=\"T_457a2_row11_col1340\" class=\"data row11 col1340\" >2.422000</td>\n",
       "      <td id=\"T_457a2_row11_col1341\" class=\"data row11 col1341\" >2.223000</td>\n",
       "      <td id=\"T_457a2_row11_col1342\" class=\"data row11 col1342\" >2.252000</td>\n",
       "      <td id=\"T_457a2_row11_col1343\" class=\"data row11 col1343\" >1.936000</td>\n",
       "      <td id=\"T_457a2_row11_col1344\" class=\"data row11 col1344\" >2.006000</td>\n",
       "      <td id=\"T_457a2_row11_col1345\" class=\"data row11 col1345\" >2.115000</td>\n",
       "      <td id=\"T_457a2_row11_col1346\" class=\"data row11 col1346\" >2.172000</td>\n",
       "      <td id=\"T_457a2_row11_col1347\" class=\"data row11 col1347\" >1.943000</td>\n",
       "      <td id=\"T_457a2_row11_col1348\" class=\"data row11 col1348\" >2.186000</td>\n",
       "      <td id=\"T_457a2_row11_col1349\" class=\"data row11 col1349\" >1.992000</td>\n",
       "      <td id=\"T_457a2_row11_col1350\" class=\"data row11 col1350\" >1.968000</td>\n",
       "      <td id=\"T_457a2_row11_col1351\" class=\"data row11 col1351\" >2.342000</td>\n",
       "      <td id=\"T_457a2_row11_col1352\" class=\"data row11 col1352\" >2.118000</td>\n",
       "      <td id=\"T_457a2_row11_col1353\" class=\"data row11 col1353\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row11_col1354\" class=\"data row11 col1354\" >2.655000</td>\n",
       "      <td id=\"T_457a2_row11_col1355\" class=\"data row11 col1355\" >2.630000</td>\n",
       "      <td id=\"T_457a2_row11_col1356\" class=\"data row11 col1356\" >1.921000</td>\n",
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       "      <td id=\"T_457a2_row11_col1358\" class=\"data row11 col1358\" >1.888000</td>\n",
       "      <td id=\"T_457a2_row11_col1359\" class=\"data row11 col1359\" >2.356000</td>\n",
       "      <td id=\"T_457a2_row11_col1360\" class=\"data row11 col1360\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row11_col1361\" class=\"data row11 col1361\" >2.005000</td>\n",
       "      <td id=\"T_457a2_row11_col1362\" class=\"data row11 col1362\" >2.308000</td>\n",
       "      <td id=\"T_457a2_row11_col1363\" class=\"data row11 col1363\" >2.357000</td>\n",
       "      <td id=\"T_457a2_row11_col1364\" class=\"data row11 col1364\" >2.378000</td>\n",
       "      <td id=\"T_457a2_row11_col1365\" class=\"data row11 col1365\" >2.680000</td>\n",
       "      <td id=\"T_457a2_row11_col1366\" class=\"data row11 col1366\" >1.804000</td>\n",
       "      <td id=\"T_457a2_row11_col1367\" class=\"data row11 col1367\" >2.086000</td>\n",
       "      <td id=\"T_457a2_row11_col1368\" class=\"data row11 col1368\" >2.458000</td>\n",
       "      <td id=\"T_457a2_row11_col1369\" class=\"data row11 col1369\" >3.525000</td>\n",
       "      <td id=\"T_457a2_row11_col1370\" class=\"data row11 col1370\" >3.102000</td>\n",
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       "      <td id=\"T_457a2_row11_col1372\" class=\"data row11 col1372\" >2.716000</td>\n",
       "      <td id=\"T_457a2_row11_col1373\" class=\"data row11 col1373\" >3.432000</td>\n",
       "      <td id=\"T_457a2_row11_col1374\" class=\"data row11 col1374\" >2.827000</td>\n",
       "      <td id=\"T_457a2_row11_col1375\" class=\"data row11 col1375\" >3.959000</td>\n",
       "      <td id=\"T_457a2_row11_col1376\" class=\"data row11 col1376\" >2.498000</td>\n",
       "      <td id=\"T_457a2_row11_col1377\" class=\"data row11 col1377\" >2.398000</td>\n",
       "      <td id=\"T_457a2_row11_col1378\" class=\"data row11 col1378\" >2.631000</td>\n",
       "      <td id=\"T_457a2_row11_col1379\" class=\"data row11 col1379\" >1.920000</td>\n",
       "      <td id=\"T_457a2_row11_col1380\" class=\"data row11 col1380\" >2.007000</td>\n",
       "      <td id=\"T_457a2_row11_col1381\" class=\"data row11 col1381\" >3.312000</td>\n",
       "      <td id=\"T_457a2_row11_col1382\" class=\"data row11 col1382\" >2.097000</td>\n",
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       "      <td id=\"T_457a2_row11_col1384\" class=\"data row11 col1384\" >1.919000</td>\n",
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       "      <td id=\"T_457a2_row11_col1387\" class=\"data row11 col1387\" >2.156000</td>\n",
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       "      <td id=\"T_457a2_row11_col1391\" class=\"data row11 col1391\" >2.389000</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_457a2_row12_col1098\" class=\"data row12 col1098\" >2.644000</td>\n",
       "      <td id=\"T_457a2_row12_col1099\" class=\"data row12 col1099\" >2.442000</td>\n",
       "      <td id=\"T_457a2_row12_col1100\" class=\"data row12 col1100\" >2.224000</td>\n",
       "      <td id=\"T_457a2_row12_col1101\" class=\"data row12 col1101\" >2.929000</td>\n",
       "      <td id=\"T_457a2_row12_col1102\" class=\"data row12 col1102\" >2.438000</td>\n",
       "      <td id=\"T_457a2_row12_col1103\" class=\"data row12 col1103\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row12_col1104\" class=\"data row12 col1104\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row12_col1105\" class=\"data row12 col1105\" >2.161000</td>\n",
       "      <td id=\"T_457a2_row12_col1106\" class=\"data row12 col1106\" >2.242000</td>\n",
       "      <td id=\"T_457a2_row12_col1107\" class=\"data row12 col1107\" >2.460000</td>\n",
       "      <td id=\"T_457a2_row12_col1108\" class=\"data row12 col1108\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row12_col1109\" class=\"data row12 col1109\" >3.137000</td>\n",
       "      <td id=\"T_457a2_row12_col1110\" class=\"data row12 col1110\" >2.728000</td>\n",
       "      <td id=\"T_457a2_row12_col1111\" class=\"data row12 col1111\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row12_col1112\" class=\"data row12 col1112\" >2.628000</td>\n",
       "      <td id=\"T_457a2_row12_col1113\" class=\"data row12 col1113\" >2.962000</td>\n",
       "      <td id=\"T_457a2_row12_col1114\" class=\"data row12 col1114\" >3.195000</td>\n",
       "      <td id=\"T_457a2_row12_col1115\" class=\"data row12 col1115\" >3.279000</td>\n",
       "      <td id=\"T_457a2_row12_col1116\" class=\"data row12 col1116\" >3.493000</td>\n",
       "      <td id=\"T_457a2_row12_col1117\" class=\"data row12 col1117\" >3.698000</td>\n",
       "      <td id=\"T_457a2_row12_col1118\" class=\"data row12 col1118\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row12_col1119\" class=\"data row12 col1119\" >2.435000</td>\n",
       "      <td id=\"T_457a2_row12_col1120\" class=\"data row12 col1120\" >2.565000</td>\n",
       "      <td id=\"T_457a2_row12_col1121\" class=\"data row12 col1121\" >2.968000</td>\n",
       "      <td id=\"T_457a2_row12_col1122\" class=\"data row12 col1122\" >2.228000</td>\n",
       "      <td id=\"T_457a2_row12_col1123\" class=\"data row12 col1123\" >3.059000</td>\n",
       "      <td id=\"T_457a2_row12_col1124\" class=\"data row12 col1124\" >2.989000</td>\n",
       "      <td id=\"T_457a2_row12_col1125\" class=\"data row12 col1125\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row12_col1126\" class=\"data row12 col1126\" >3.409000</td>\n",
       "      <td id=\"T_457a2_row12_col1127\" class=\"data row12 col1127\" >2.801000</td>\n",
       "      <td id=\"T_457a2_row12_col1128\" class=\"data row12 col1128\" >2.798000</td>\n",
       "      <td id=\"T_457a2_row12_col1129\" class=\"data row12 col1129\" >2.602000</td>\n",
       "      <td id=\"T_457a2_row12_col1130\" class=\"data row12 col1130\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row12_col1131\" class=\"data row12 col1131\" >2.076000</td>\n",
       "      <td id=\"T_457a2_row12_col1132\" class=\"data row12 col1132\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row12_col1133\" class=\"data row12 col1133\" >2.340000</td>\n",
       "      <td id=\"T_457a2_row12_col1134\" class=\"data row12 col1134\" >2.259000</td>\n",
       "      <td id=\"T_457a2_row12_col1135\" class=\"data row12 col1135\" >2.271000</td>\n",
       "      <td id=\"T_457a2_row12_col1136\" class=\"data row12 col1136\" >1.970000</td>\n",
       "      <td id=\"T_457a2_row12_col1137\" class=\"data row12 col1137\" >3.264000</td>\n",
       "      <td id=\"T_457a2_row12_col1138\" class=\"data row12 col1138\" >3.135000</td>\n",
       "      <td id=\"T_457a2_row12_col1139\" class=\"data row12 col1139\" >3.099000</td>\n",
       "      <td id=\"T_457a2_row12_col1140\" class=\"data row12 col1140\" >2.984000</td>\n",
       "      <td id=\"T_457a2_row12_col1141\" class=\"data row12 col1141\" >2.654000</td>\n",
       "      <td id=\"T_457a2_row12_col1142\" class=\"data row12 col1142\" >3.301000</td>\n",
       "      <td id=\"T_457a2_row12_col1143\" class=\"data row12 col1143\" >2.807000</td>\n",
       "      <td id=\"T_457a2_row12_col1144\" class=\"data row12 col1144\" >3.263000</td>\n",
       "      <td id=\"T_457a2_row12_col1145\" class=\"data row12 col1145\" >3.112000</td>\n",
       "      <td id=\"T_457a2_row12_col1146\" class=\"data row12 col1146\" >3.666000</td>\n",
       "      <td id=\"T_457a2_row12_col1147\" class=\"data row12 col1147\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row12_col1148\" class=\"data row12 col1148\" >2.309000</td>\n",
       "      <td id=\"T_457a2_row12_col1149\" class=\"data row12 col1149\" >2.924000</td>\n",
       "      <td id=\"T_457a2_row12_col1150\" class=\"data row12 col1150\" >3.014000</td>\n",
       "      <td id=\"T_457a2_row12_col1151\" class=\"data row12 col1151\" >2.759000</td>\n",
       "      <td id=\"T_457a2_row12_col1152\" class=\"data row12 col1152\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row12_col1153\" class=\"data row12 col1153\" >3.142000</td>\n",
       "      <td id=\"T_457a2_row12_col1154\" class=\"data row12 col1154\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row12_col1155\" class=\"data row12 col1155\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row12_col1156\" class=\"data row12 col1156\" >2.837000</td>\n",
       "      <td id=\"T_457a2_row12_col1157\" class=\"data row12 col1157\" >2.802000</td>\n",
       "      <td id=\"T_457a2_row12_col1158\" class=\"data row12 col1158\" >2.959000</td>\n",
       "      <td id=\"T_457a2_row12_col1159\" class=\"data row12 col1159\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row12_col1160\" class=\"data row12 col1160\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row12_col1161\" class=\"data row12 col1161\" >2.822000</td>\n",
       "      <td id=\"T_457a2_row12_col1162\" class=\"data row12 col1162\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row12_col1163\" class=\"data row12 col1163\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row12_col1164\" class=\"data row12 col1164\" >2.467000</td>\n",
       "      <td id=\"T_457a2_row12_col1165\" class=\"data row12 col1165\" >2.637000</td>\n",
       "      <td id=\"T_457a2_row12_col1166\" class=\"data row12 col1166\" >2.719000</td>\n",
       "      <td id=\"T_457a2_row12_col1167\" class=\"data row12 col1167\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row12_col1168\" class=\"data row12 col1168\" >2.298000</td>\n",
       "      <td id=\"T_457a2_row12_col1169\" class=\"data row12 col1169\" >2.305000</td>\n",
       "      <td id=\"T_457a2_row12_col1170\" class=\"data row12 col1170\" >2.620000</td>\n",
       "      <td id=\"T_457a2_row12_col1171\" class=\"data row12 col1171\" >2.678000</td>\n",
       "      <td id=\"T_457a2_row12_col1172\" class=\"data row12 col1172\" >2.181000</td>\n",
       "      <td id=\"T_457a2_row12_col1173\" class=\"data row12 col1173\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row12_col1174\" class=\"data row12 col1174\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row12_col1175\" class=\"data row12 col1175\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row12_col1176\" class=\"data row12 col1176\" >2.168000</td>\n",
       "      <td id=\"T_457a2_row12_col1177\" class=\"data row12 col1177\" >3.290000</td>\n",
       "      <td id=\"T_457a2_row12_col1178\" class=\"data row12 col1178\" >2.168000</td>\n",
       "      <td id=\"T_457a2_row12_col1179\" class=\"data row12 col1179\" >2.687000</td>\n",
       "      <td id=\"T_457a2_row12_col1180\" class=\"data row12 col1180\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row12_col1181\" class=\"data row12 col1181\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row12_col1182\" class=\"data row12 col1182\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row12_col1183\" class=\"data row12 col1183\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row12_col1184\" class=\"data row12 col1184\" >2.504000</td>\n",
       "      <td id=\"T_457a2_row12_col1185\" class=\"data row12 col1185\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row12_col1186\" class=\"data row12 col1186\" >2.543000</td>\n",
       "      <td id=\"T_457a2_row12_col1187\" class=\"data row12 col1187\" >2.938000</td>\n",
       "      <td id=\"T_457a2_row12_col1188\" class=\"data row12 col1188\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row12_col1189\" class=\"data row12 col1189\" >3.729000</td>\n",
       "      <td id=\"T_457a2_row12_col1190\" class=\"data row12 col1190\" >3.200000</td>\n",
       "      <td id=\"T_457a2_row12_col1191\" class=\"data row12 col1191\" >3.125000</td>\n",
       "      <td id=\"T_457a2_row12_col1192\" class=\"data row12 col1192\" >3.639000</td>\n",
       "      <td id=\"T_457a2_row12_col1193\" class=\"data row12 col1193\" >3.331000</td>\n",
       "      <td id=\"T_457a2_row12_col1194\" class=\"data row12 col1194\" >3.103000</td>\n",
       "      <td id=\"T_457a2_row12_col1195\" class=\"data row12 col1195\" >3.677000</td>\n",
       "      <td id=\"T_457a2_row12_col1196\" class=\"data row12 col1196\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row12_col1197\" class=\"data row12 col1197\" >2.727000</td>\n",
       "      <td id=\"T_457a2_row12_col1198\" class=\"data row12 col1198\" >2.650000</td>\n",
       "      <td id=\"T_457a2_row12_col1199\" class=\"data row12 col1199\" >3.073000</td>\n",
       "      <td id=\"T_457a2_row12_col1200\" class=\"data row12 col1200\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row12_col1201\" class=\"data row12 col1201\" >3.344000</td>\n",
       "      <td id=\"T_457a2_row12_col1202\" class=\"data row12 col1202\" >2.255000</td>\n",
       "      <td id=\"T_457a2_row12_col1203\" class=\"data row12 col1203\" >3.307000</td>\n",
       "      <td id=\"T_457a2_row12_col1204\" class=\"data row12 col1204\" >3.186000</td>\n",
       "      <td id=\"T_457a2_row12_col1205\" class=\"data row12 col1205\" >3.341000</td>\n",
       "      <td id=\"T_457a2_row12_col1206\" class=\"data row12 col1206\" >3.382000</td>\n",
       "      <td id=\"T_457a2_row12_col1207\" class=\"data row12 col1207\" >2.763000</td>\n",
       "      <td id=\"T_457a2_row12_col1208\" class=\"data row12 col1208\" >3.315000</td>\n",
       "      <td id=\"T_457a2_row12_col1209\" class=\"data row12 col1209\" >2.653000</td>\n",
       "      <td id=\"T_457a2_row12_col1210\" class=\"data row12 col1210\" >2.846000</td>\n",
       "      <td id=\"T_457a2_row12_col1211\" class=\"data row12 col1211\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row12_col1212\" class=\"data row12 col1212\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row12_col1213\" class=\"data row12 col1213\" >2.732000</td>\n",
       "      <td id=\"T_457a2_row12_col1214\" class=\"data row12 col1214\" >3.495000</td>\n",
       "      <td id=\"T_457a2_row12_col1215\" class=\"data row12 col1215\" >3.296000</td>\n",
       "      <td id=\"T_457a2_row12_col1216\" class=\"data row12 col1216\" >2.911000</td>\n",
       "      <td id=\"T_457a2_row12_col1217\" class=\"data row12 col1217\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row12_col1218\" class=\"data row12 col1218\" >2.916000</td>\n",
       "      <td id=\"T_457a2_row12_col1219\" class=\"data row12 col1219\" >2.911000</td>\n",
       "      <td id=\"T_457a2_row12_col1220\" class=\"data row12 col1220\" >3.023000</td>\n",
       "      <td id=\"T_457a2_row12_col1221\" class=\"data row12 col1221\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row12_col1222\" class=\"data row12 col1222\" >2.782000</td>\n",
       "      <td id=\"T_457a2_row12_col1223\" class=\"data row12 col1223\" >2.685000</td>\n",
       "      <td id=\"T_457a2_row12_col1224\" class=\"data row12 col1224\" >2.347000</td>\n",
       "      <td id=\"T_457a2_row12_col1225\" class=\"data row12 col1225\" >2.422000</td>\n",
       "      <td id=\"T_457a2_row12_col1226\" class=\"data row12 col1226\" >3.105000</td>\n",
       "      <td id=\"T_457a2_row12_col1227\" class=\"data row12 col1227\" >2.521000</td>\n",
       "      <td id=\"T_457a2_row12_col1228\" class=\"data row12 col1228\" >2.424000</td>\n",
       "      <td id=\"T_457a2_row12_col1229\" class=\"data row12 col1229\" >2.603000</td>\n",
       "      <td id=\"T_457a2_row12_col1230\" class=\"data row12 col1230\" >3.092000</td>\n",
       "      <td id=\"T_457a2_row12_col1231\" class=\"data row12 col1231\" >3.104000</td>\n",
       "      <td id=\"T_457a2_row12_col1232\" class=\"data row12 col1232\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row12_col1233\" class=\"data row12 col1233\" >2.782000</td>\n",
       "      <td id=\"T_457a2_row12_col1234\" class=\"data row12 col1234\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row12_col1235\" class=\"data row12 col1235\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row12_col1236\" class=\"data row12 col1236\" >2.692000</td>\n",
       "      <td id=\"T_457a2_row12_col1237\" class=\"data row12 col1237\" >2.956000</td>\n",
       "      <td id=\"T_457a2_row12_col1238\" class=\"data row12 col1238\" >2.357000</td>\n",
       "      <td id=\"T_457a2_row12_col1239\" class=\"data row12 col1239\" >2.896000</td>\n",
       "      <td id=\"T_457a2_row12_col1240\" class=\"data row12 col1240\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row12_col1241\" class=\"data row12 col1241\" >2.369000</td>\n",
       "      <td id=\"T_457a2_row12_col1242\" class=\"data row12 col1242\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row12_col1243\" class=\"data row12 col1243\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row12_col1244\" class=\"data row12 col1244\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row12_col1245\" class=\"data row12 col1245\" >3.039000</td>\n",
       "      <td id=\"T_457a2_row12_col1246\" class=\"data row12 col1246\" >2.960000</td>\n",
       "      <td id=\"T_457a2_row12_col1247\" class=\"data row12 col1247\" >3.428000</td>\n",
       "      <td id=\"T_457a2_row12_col1248\" class=\"data row12 col1248\" >3.152000</td>\n",
       "      <td id=\"T_457a2_row12_col1249\" class=\"data row12 col1249\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row12_col1250\" class=\"data row12 col1250\" >3.229000</td>\n",
       "      <td id=\"T_457a2_row12_col1251\" class=\"data row12 col1251\" >2.898000</td>\n",
       "      <td id=\"T_457a2_row12_col1252\" class=\"data row12 col1252\" >2.755000</td>\n",
       "      <td id=\"T_457a2_row12_col1253\" class=\"data row12 col1253\" >2.273000</td>\n",
       "      <td id=\"T_457a2_row12_col1254\" class=\"data row12 col1254\" >2.479000</td>\n",
       "      <td id=\"T_457a2_row12_col1255\" class=\"data row12 col1255\" >3.348000</td>\n",
       "      <td id=\"T_457a2_row12_col1256\" class=\"data row12 col1256\" >2.945000</td>\n",
       "      <td id=\"T_457a2_row12_col1257\" class=\"data row12 col1257\" >2.827000</td>\n",
       "      <td id=\"T_457a2_row12_col1258\" class=\"data row12 col1258\" >3.108000</td>\n",
       "      <td id=\"T_457a2_row12_col1259\" class=\"data row12 col1259\" >2.872000</td>\n",
       "      <td id=\"T_457a2_row12_col1260\" class=\"data row12 col1260\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row12_col1261\" class=\"data row12 col1261\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row12_col1262\" class=\"data row12 col1262\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row12_col1263\" class=\"data row12 col1263\" >3.535000</td>\n",
       "      <td id=\"T_457a2_row12_col1264\" class=\"data row12 col1264\" >1.981000</td>\n",
       "      <td id=\"T_457a2_row12_col1265\" class=\"data row12 col1265\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row12_col1266\" class=\"data row12 col1266\" >2.221000</td>\n",
       "      <td id=\"T_457a2_row12_col1267\" class=\"data row12 col1267\" >2.045000</td>\n",
       "      <td id=\"T_457a2_row12_col1268\" class=\"data row12 col1268\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row12_col1269\" class=\"data row12 col1269\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row12_col1270\" class=\"data row12 col1270\" >2.600000</td>\n",
       "      <td id=\"T_457a2_row12_col1271\" class=\"data row12 col1271\" >2.482000</td>\n",
       "      <td id=\"T_457a2_row12_col1272\" class=\"data row12 col1272\" >1.484000</td>\n",
       "      <td id=\"T_457a2_row12_col1273\" class=\"data row12 col1273\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row12_col1274\" class=\"data row12 col1274\" >3.034000</td>\n",
       "      <td id=\"T_457a2_row12_col1275\" class=\"data row12 col1275\" >3.140000</td>\n",
       "      <td id=\"T_457a2_row12_col1276\" class=\"data row12 col1276\" >2.397000</td>\n",
       "      <td id=\"T_457a2_row12_col1277\" class=\"data row12 col1277\" >2.925000</td>\n",
       "      <td id=\"T_457a2_row12_col1278\" class=\"data row12 col1278\" >2.259000</td>\n",
       "      <td id=\"T_457a2_row12_col1279\" class=\"data row12 col1279\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row12_col1280\" class=\"data row12 col1280\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row12_col1281\" class=\"data row12 col1281\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row12_col1282\" class=\"data row12 col1282\" >2.219000</td>\n",
       "      <td id=\"T_457a2_row12_col1283\" class=\"data row12 col1283\" >2.507000</td>\n",
       "      <td id=\"T_457a2_row12_col1284\" class=\"data row12 col1284\" >2.846000</td>\n",
       "      <td id=\"T_457a2_row12_col1285\" class=\"data row12 col1285\" >2.364000</td>\n",
       "      <td id=\"T_457a2_row12_col1286\" class=\"data row12 col1286\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row12_col1287\" class=\"data row12 col1287\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row12_col1288\" class=\"data row12 col1288\" >3.185000</td>\n",
       "      <td id=\"T_457a2_row12_col1289\" class=\"data row12 col1289\" >3.371000</td>\n",
       "      <td id=\"T_457a2_row12_col1290\" class=\"data row12 col1290\" >3.142000</td>\n",
       "      <td id=\"T_457a2_row12_col1291\" class=\"data row12 col1291\" >2.938000</td>\n",
       "      <td id=\"T_457a2_row12_col1292\" class=\"data row12 col1292\" >2.807000</td>\n",
       "      <td id=\"T_457a2_row12_col1293\" class=\"data row12 col1293\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row12_col1294\" class=\"data row12 col1294\" >3.041000</td>\n",
       "      <td id=\"T_457a2_row12_col1295\" class=\"data row12 col1295\" >3.410000</td>\n",
       "      <td id=\"T_457a2_row12_col1296\" class=\"data row12 col1296\" >3.354000</td>\n",
       "      <td id=\"T_457a2_row12_col1297\" class=\"data row12 col1297\" >3.558000</td>\n",
       "      <td id=\"T_457a2_row12_col1298\" class=\"data row12 col1298\" >3.085000</td>\n",
       "      <td id=\"T_457a2_row12_col1299\" class=\"data row12 col1299\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row12_col1300\" class=\"data row12 col1300\" >2.526000</td>\n",
       "      <td id=\"T_457a2_row12_col1301\" class=\"data row12 col1301\" >2.973000</td>\n",
       "      <td id=\"T_457a2_row12_col1302\" class=\"data row12 col1302\" >2.409000</td>\n",
       "      <td id=\"T_457a2_row12_col1303\" class=\"data row12 col1303\" >2.909000</td>\n",
       "      <td id=\"T_457a2_row12_col1304\" class=\"data row12 col1304\" >2.727000</td>\n",
       "      <td id=\"T_457a2_row12_col1305\" class=\"data row12 col1305\" >2.027000</td>\n",
       "      <td id=\"T_457a2_row12_col1306\" class=\"data row12 col1306\" >3.071000</td>\n",
       "      <td id=\"T_457a2_row12_col1307\" class=\"data row12 col1307\" >2.982000</td>\n",
       "      <td id=\"T_457a2_row12_col1308\" class=\"data row12 col1308\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row12_col1309\" class=\"data row12 col1309\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row12_col1310\" class=\"data row12 col1310\" >2.615000</td>\n",
       "      <td id=\"T_457a2_row12_col1311\" class=\"data row12 col1311\" >2.164000</td>\n",
       "      <td id=\"T_457a2_row12_col1312\" class=\"data row12 col1312\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row12_col1313\" class=\"data row12 col1313\" >2.541000</td>\n",
       "      <td id=\"T_457a2_row12_col1314\" class=\"data row12 col1314\" >2.144000</td>\n",
       "      <td id=\"T_457a2_row12_col1315\" class=\"data row12 col1315\" >2.141000</td>\n",
       "      <td id=\"T_457a2_row12_col1316\" class=\"data row12 col1316\" >1.885000</td>\n",
       "      <td id=\"T_457a2_row12_col1317\" class=\"data row12 col1317\" >3.369000</td>\n",
       "      <td id=\"T_457a2_row12_col1318\" class=\"data row12 col1318\" >2.930000</td>\n",
       "      <td id=\"T_457a2_row12_col1319\" class=\"data row12 col1319\" >3.324000</td>\n",
       "      <td id=\"T_457a2_row12_col1320\" class=\"data row12 col1320\" >3.237000</td>\n",
       "      <td id=\"T_457a2_row12_col1321\" class=\"data row12 col1321\" >3.011000</td>\n",
       "      <td id=\"T_457a2_row12_col1322\" class=\"data row12 col1322\" >3.365000</td>\n",
       "      <td id=\"T_457a2_row12_col1323\" class=\"data row12 col1323\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row12_col1324\" class=\"data row12 col1324\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row12_col1325\" class=\"data row12 col1325\" >3.085000</td>\n",
       "      <td id=\"T_457a2_row12_col1326\" class=\"data row12 col1326\" >3.310000</td>\n",
       "      <td id=\"T_457a2_row12_col1327\" class=\"data row12 col1327\" >2.453000</td>\n",
       "      <td id=\"T_457a2_row12_col1328\" class=\"data row12 col1328\" >2.280000</td>\n",
       "      <td id=\"T_457a2_row12_col1329\" class=\"data row12 col1329\" >2.898000</td>\n",
       "      <td id=\"T_457a2_row12_col1330\" class=\"data row12 col1330\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row12_col1331\" class=\"data row12 col1331\" >2.853000</td>\n",
       "      <td id=\"T_457a2_row12_col1332\" class=\"data row12 col1332\" >2.560000</td>\n",
       "      <td id=\"T_457a2_row12_col1333\" class=\"data row12 col1333\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row12_col1334\" class=\"data row12 col1334\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row12_col1335\" class=\"data row12 col1335\" >2.711000</td>\n",
       "      <td id=\"T_457a2_row12_col1336\" class=\"data row12 col1336\" >2.634000</td>\n",
       "      <td id=\"T_457a2_row12_col1337\" class=\"data row12 col1337\" >2.847000</td>\n",
       "      <td id=\"T_457a2_row12_col1338\" class=\"data row12 col1338\" >2.923000</td>\n",
       "      <td id=\"T_457a2_row12_col1339\" class=\"data row12 col1339\" >3.121000</td>\n",
       "      <td id=\"T_457a2_row12_col1340\" class=\"data row12 col1340\" >2.712000</td>\n",
       "      <td id=\"T_457a2_row12_col1341\" class=\"data row12 col1341\" >2.882000</td>\n",
       "      <td id=\"T_457a2_row12_col1342\" class=\"data row12 col1342\" >2.962000</td>\n",
       "      <td id=\"T_457a2_row12_col1343\" class=\"data row12 col1343\" >2.820000</td>\n",
       "      <td id=\"T_457a2_row12_col1344\" class=\"data row12 col1344\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row12_col1345\" class=\"data row12 col1345\" >2.609000</td>\n",
       "      <td id=\"T_457a2_row12_col1346\" class=\"data row12 col1346\" >2.603000</td>\n",
       "      <td id=\"T_457a2_row12_col1347\" class=\"data row12 col1347\" >2.701000</td>\n",
       "      <td id=\"T_457a2_row12_col1348\" class=\"data row12 col1348\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row12_col1349\" class=\"data row12 col1349\" >2.393000</td>\n",
       "      <td id=\"T_457a2_row12_col1350\" class=\"data row12 col1350\" >2.614000</td>\n",
       "      <td id=\"T_457a2_row12_col1351\" class=\"data row12 col1351\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row12_col1352\" class=\"data row12 col1352\" >2.145000</td>\n",
       "      <td id=\"T_457a2_row12_col1353\" class=\"data row12 col1353\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row12_col1354\" class=\"data row12 col1354\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row12_col1355\" class=\"data row12 col1355\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row12_col1356\" class=\"data row12 col1356\" >2.066000</td>\n",
       "      <td id=\"T_457a2_row12_col1357\" class=\"data row12 col1357\" >3.415000</td>\n",
       "      <td id=\"T_457a2_row12_col1358\" class=\"data row12 col1358\" >2.403000</td>\n",
       "      <td id=\"T_457a2_row12_col1359\" class=\"data row12 col1359\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row12_col1360\" class=\"data row12 col1360\" >3.076000</td>\n",
       "      <td id=\"T_457a2_row12_col1361\" class=\"data row12 col1361\" >3.020000</td>\n",
       "      <td id=\"T_457a2_row12_col1362\" class=\"data row12 col1362\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row12_col1363\" class=\"data row12 col1363\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row12_col1364\" class=\"data row12 col1364\" >3.200000</td>\n",
       "      <td id=\"T_457a2_row12_col1365\" class=\"data row12 col1365\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row12_col1366\" class=\"data row12 col1366\" >2.675000</td>\n",
       "      <td id=\"T_457a2_row12_col1367\" class=\"data row12 col1367\" >2.552000</td>\n",
       "      <td id=\"T_457a2_row12_col1368\" class=\"data row12 col1368\" >2.862000</td>\n",
       "      <td id=\"T_457a2_row12_col1369\" class=\"data row12 col1369\" >3.573000</td>\n",
       "      <td id=\"T_457a2_row12_col1370\" class=\"data row12 col1370\" >3.350000</td>\n",
       "      <td id=\"T_457a2_row12_col1371\" class=\"data row12 col1371\" >2.988000</td>\n",
       "      <td id=\"T_457a2_row12_col1372\" class=\"data row12 col1372\" >3.226000</td>\n",
       "      <td id=\"T_457a2_row12_col1373\" class=\"data row12 col1373\" >3.353000</td>\n",
       "      <td id=\"T_457a2_row12_col1374\" class=\"data row12 col1374\" >2.978000</td>\n",
       "      <td id=\"T_457a2_row12_col1375\" class=\"data row12 col1375\" >3.774000</td>\n",
       "      <td id=\"T_457a2_row12_col1376\" class=\"data row12 col1376\" >2.561000</td>\n",
       "      <td id=\"T_457a2_row12_col1377\" class=\"data row12 col1377\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row12_col1378\" class=\"data row12 col1378\" >2.706000</td>\n",
       "      <td id=\"T_457a2_row12_col1379\" class=\"data row12 col1379\" >2.719000</td>\n",
       "      <td id=\"T_457a2_row12_col1380\" class=\"data row12 col1380\" >2.304000</td>\n",
       "      <td id=\"T_457a2_row12_col1381\" class=\"data row12 col1381\" >3.103000</td>\n",
       "      <td id=\"T_457a2_row12_col1382\" class=\"data row12 col1382\" >2.633000</td>\n",
       "      <td id=\"T_457a2_row12_col1383\" class=\"data row12 col1383\" >3.478000</td>\n",
       "      <td id=\"T_457a2_row12_col1384\" class=\"data row12 col1384\" >3.211000</td>\n",
       "      <td id=\"T_457a2_row12_col1385\" class=\"data row12 col1385\" >3.214000</td>\n",
       "      <td id=\"T_457a2_row12_col1386\" class=\"data row12 col1386\" >3.479000</td>\n",
       "      <td id=\"T_457a2_row12_col1387\" class=\"data row12 col1387\" >2.680000</td>\n",
       "      <td id=\"T_457a2_row12_col1388\" class=\"data row12 col1388\" >3.017000</td>\n",
       "      <td id=\"T_457a2_row12_col1389\" class=\"data row12 col1389\" >2.936000</td>\n",
       "      <td id=\"T_457a2_row12_col1390\" class=\"data row12 col1390\" >2.907000</td>\n",
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       "      <td id=\"T_457a2_row12_col1392\" class=\"data row12 col1392\" >2.675000</td>\n",
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       "      <td id=\"T_457a2_row12_col1394\" class=\"data row12 col1394\" >3.525000</td>\n",
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       "      <td id=\"T_457a2_row13_col1085\" class=\"data row13 col1085\" >2.312000</td>\n",
       "      <td id=\"T_457a2_row13_col1086\" class=\"data row13 col1086\" >1.891000</td>\n",
       "      <td id=\"T_457a2_row13_col1087\" class=\"data row13 col1087\" >2.022000</td>\n",
       "      <td id=\"T_457a2_row13_col1088\" class=\"data row13 col1088\" >2.236000</td>\n",
       "      <td id=\"T_457a2_row13_col1089\" class=\"data row13 col1089\" >2.453000</td>\n",
       "      <td id=\"T_457a2_row13_col1090\" class=\"data row13 col1090\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row13_col1091\" class=\"data row13 col1091\" >2.614000</td>\n",
       "      <td id=\"T_457a2_row13_col1092\" class=\"data row13 col1092\" >1.708000</td>\n",
       "      <td id=\"T_457a2_row13_col1093\" class=\"data row13 col1093\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row13_col1094\" class=\"data row13 col1094\" >2.083000</td>\n",
       "      <td id=\"T_457a2_row13_col1095\" class=\"data row13 col1095\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row13_col1096\" class=\"data row13 col1096\" >1.791000</td>\n",
       "      <td id=\"T_457a2_row13_col1097\" class=\"data row13 col1097\" >2.928000</td>\n",
       "      <td id=\"T_457a2_row13_col1098\" class=\"data row13 col1098\" >2.324000</td>\n",
       "      <td id=\"T_457a2_row13_col1099\" class=\"data row13 col1099\" >2.208000</td>\n",
       "      <td id=\"T_457a2_row13_col1100\" class=\"data row13 col1100\" >1.946000</td>\n",
       "      <td id=\"T_457a2_row13_col1101\" class=\"data row13 col1101\" >2.959000</td>\n",
       "      <td id=\"T_457a2_row13_col1102\" class=\"data row13 col1102\" >2.184000</td>\n",
       "      <td id=\"T_457a2_row13_col1103\" class=\"data row13 col1103\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row13_col1104\" class=\"data row13 col1104\" >2.973000</td>\n",
       "      <td id=\"T_457a2_row13_col1105\" class=\"data row13 col1105\" >3.114000</td>\n",
       "      <td id=\"T_457a2_row13_col1106\" class=\"data row13 col1106\" >2.620000</td>\n",
       "      <td id=\"T_457a2_row13_col1107\" class=\"data row13 col1107\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row13_col1108\" class=\"data row13 col1108\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row13_col1109\" class=\"data row13 col1109\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row13_col1110\" class=\"data row13 col1110\" >2.424000</td>\n",
       "      <td id=\"T_457a2_row13_col1111\" class=\"data row13 col1111\" >3.333000</td>\n",
       "      <td id=\"T_457a2_row13_col1112\" class=\"data row13 col1112\" >2.658000</td>\n",
       "      <td id=\"T_457a2_row13_col1113\" class=\"data row13 col1113\" >3.127000</td>\n",
       "      <td id=\"T_457a2_row13_col1114\" class=\"data row13 col1114\" >3.003000</td>\n",
       "      <td id=\"T_457a2_row13_col1115\" class=\"data row13 col1115\" >3.375000</td>\n",
       "      <td id=\"T_457a2_row13_col1116\" class=\"data row13 col1116\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row13_col1117\" class=\"data row13 col1117\" >3.125000</td>\n",
       "      <td id=\"T_457a2_row13_col1118\" class=\"data row13 col1118\" >2.510000</td>\n",
       "      <td id=\"T_457a2_row13_col1119\" class=\"data row13 col1119\" >2.312000</td>\n",
       "      <td id=\"T_457a2_row13_col1120\" class=\"data row13 col1120\" >2.132000</td>\n",
       "      <td id=\"T_457a2_row13_col1121\" class=\"data row13 col1121\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row13_col1122\" class=\"data row13 col1122\" >2.220000</td>\n",
       "      <td id=\"T_457a2_row13_col1123\" class=\"data row13 col1123\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row13_col1124\" class=\"data row13 col1124\" >2.177000</td>\n",
       "      <td id=\"T_457a2_row13_col1125\" class=\"data row13 col1125\" >2.107000</td>\n",
       "      <td id=\"T_457a2_row13_col1126\" class=\"data row13 col1126\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row13_col1127\" class=\"data row13 col1127\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row13_col1128\" class=\"data row13 col1128\" >2.570000</td>\n",
       "      <td id=\"T_457a2_row13_col1129\" class=\"data row13 col1129\" >1.764000</td>\n",
       "      <td id=\"T_457a2_row13_col1130\" class=\"data row13 col1130\" >2.036000</td>\n",
       "      <td id=\"T_457a2_row13_col1131\" class=\"data row13 col1131\" >2.314000</td>\n",
       "      <td id=\"T_457a2_row13_col1132\" class=\"data row13 col1132\" >2.102000</td>\n",
       "      <td id=\"T_457a2_row13_col1133\" class=\"data row13 col1133\" >2.025000</td>\n",
       "      <td id=\"T_457a2_row13_col1134\" class=\"data row13 col1134\" >2.353000</td>\n",
       "      <td id=\"T_457a2_row13_col1135\" class=\"data row13 col1135\" >2.054000</td>\n",
       "      <td id=\"T_457a2_row13_col1136\" class=\"data row13 col1136\" >1.985000</td>\n",
       "      <td id=\"T_457a2_row13_col1137\" class=\"data row13 col1137\" >2.330000</td>\n",
       "      <td id=\"T_457a2_row13_col1138\" class=\"data row13 col1138\" >2.576000</td>\n",
       "      <td id=\"T_457a2_row13_col1139\" class=\"data row13 col1139\" >3.386000</td>\n",
       "      <td id=\"T_457a2_row13_col1140\" class=\"data row13 col1140\" >3.428000</td>\n",
       "      <td id=\"T_457a2_row13_col1141\" class=\"data row13 col1141\" >2.443000</td>\n",
       "      <td id=\"T_457a2_row13_col1142\" class=\"data row13 col1142\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row13_col1143\" class=\"data row13 col1143\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row13_col1144\" class=\"data row13 col1144\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row13_col1145\" class=\"data row13 col1145\" >2.462000</td>\n",
       "      <td id=\"T_457a2_row13_col1146\" class=\"data row13 col1146\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row13_col1147\" class=\"data row13 col1147\" >2.021000</td>\n",
       "      <td id=\"T_457a2_row13_col1148\" class=\"data row13 col1148\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row13_col1149\" class=\"data row13 col1149\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row13_col1150\" class=\"data row13 col1150\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row13_col1151\" class=\"data row13 col1151\" >2.196000</td>\n",
       "      <td id=\"T_457a2_row13_col1152\" class=\"data row13 col1152\" >2.633000</td>\n",
       "      <td id=\"T_457a2_row13_col1153\" class=\"data row13 col1153\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row13_col1154\" class=\"data row13 col1154\" >2.576000</td>\n",
       "      <td id=\"T_457a2_row13_col1155\" class=\"data row13 col1155\" >2.385000</td>\n",
       "      <td id=\"T_457a2_row13_col1156\" class=\"data row13 col1156\" >2.106000</td>\n",
       "      <td id=\"T_457a2_row13_col1157\" class=\"data row13 col1157\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row13_col1158\" class=\"data row13 col1158\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row13_col1159\" class=\"data row13 col1159\" >3.086000</td>\n",
       "      <td id=\"T_457a2_row13_col1160\" class=\"data row13 col1160\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row13_col1161\" class=\"data row13 col1161\" >2.740000</td>\n",
       "      <td id=\"T_457a2_row13_col1162\" class=\"data row13 col1162\" >2.159000</td>\n",
       "      <td id=\"T_457a2_row13_col1163\" class=\"data row13 col1163\" >1.964000</td>\n",
       "      <td id=\"T_457a2_row13_col1164\" class=\"data row13 col1164\" >2.305000</td>\n",
       "      <td id=\"T_457a2_row13_col1165\" class=\"data row13 col1165\" >2.353000</td>\n",
       "      <td id=\"T_457a2_row13_col1166\" class=\"data row13 col1166\" >2.275000</td>\n",
       "      <td id=\"T_457a2_row13_col1167\" class=\"data row13 col1167\" >2.150000</td>\n",
       "      <td id=\"T_457a2_row13_col1168\" class=\"data row13 col1168\" >2.196000</td>\n",
       "      <td id=\"T_457a2_row13_col1169\" class=\"data row13 col1169\" >2.190000</td>\n",
       "      <td id=\"T_457a2_row13_col1170\" class=\"data row13 col1170\" >2.658000</td>\n",
       "      <td id=\"T_457a2_row13_col1171\" class=\"data row13 col1171\" >2.799000</td>\n",
       "      <td id=\"T_457a2_row13_col1172\" class=\"data row13 col1172\" >2.485000</td>\n",
       "      <td id=\"T_457a2_row13_col1173\" class=\"data row13 col1173\" >2.832000</td>\n",
       "      <td id=\"T_457a2_row13_col1174\" class=\"data row13 col1174\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row13_col1175\" class=\"data row13 col1175\" >2.652000</td>\n",
       "      <td id=\"T_457a2_row13_col1176\" class=\"data row13 col1176\" >2.238000</td>\n",
       "      <td id=\"T_457a2_row13_col1177\" class=\"data row13 col1177\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row13_col1178\" class=\"data row13 col1178\" >2.289000</td>\n",
       "      <td id=\"T_457a2_row13_col1179\" class=\"data row13 col1179\" >2.144000</td>\n",
       "      <td id=\"T_457a2_row13_col1180\" class=\"data row13 col1180\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row13_col1181\" class=\"data row13 col1181\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row13_col1182\" class=\"data row13 col1182\" >3.208000</td>\n",
       "      <td id=\"T_457a2_row13_col1183\" class=\"data row13 col1183\" >3.067000</td>\n",
       "      <td id=\"T_457a2_row13_col1184\" class=\"data row13 col1184\" >2.701000</td>\n",
       "      <td id=\"T_457a2_row13_col1185\" class=\"data row13 col1185\" >3.175000</td>\n",
       "      <td id=\"T_457a2_row13_col1186\" class=\"data row13 col1186\" >2.945000</td>\n",
       "      <td id=\"T_457a2_row13_col1187\" class=\"data row13 col1187\" >2.828000</td>\n",
       "      <td id=\"T_457a2_row13_col1188\" class=\"data row13 col1188\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row13_col1189\" class=\"data row13 col1189\" >4.162000</td>\n",
       "      <td id=\"T_457a2_row13_col1190\" class=\"data row13 col1190\" >3.906000</td>\n",
       "      <td id=\"T_457a2_row13_col1191\" class=\"data row13 col1191\" >2.794000</td>\n",
       "      <td id=\"T_457a2_row13_col1192\" class=\"data row13 col1192\" >3.704000</td>\n",
       "      <td id=\"T_457a2_row13_col1193\" class=\"data row13 col1193\" >3.867000</td>\n",
       "      <td id=\"T_457a2_row13_col1194\" class=\"data row13 col1194\" >3.017000</td>\n",
       "      <td id=\"T_457a2_row13_col1195\" class=\"data row13 col1195\" >4.397000</td>\n",
       "      <td id=\"T_457a2_row13_col1196\" class=\"data row13 col1196\" >3.029000</td>\n",
       "      <td id=\"T_457a2_row13_col1197\" class=\"data row13 col1197\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row13_col1198\" class=\"data row13 col1198\" >2.722000</td>\n",
       "      <td id=\"T_457a2_row13_col1199\" class=\"data row13 col1199\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row13_col1200\" class=\"data row13 col1200\" >2.350000</td>\n",
       "      <td id=\"T_457a2_row13_col1201\" class=\"data row13 col1201\" >3.144000</td>\n",
       "      <td id=\"T_457a2_row13_col1202\" class=\"data row13 col1202\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row13_col1203\" class=\"data row13 col1203\" >2.420000</td>\n",
       "      <td id=\"T_457a2_row13_col1204\" class=\"data row13 col1204\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row13_col1205\" class=\"data row13 col1205\" >3.469000</td>\n",
       "      <td id=\"T_457a2_row13_col1206\" class=\"data row13 col1206\" >3.930000</td>\n",
       "      <td id=\"T_457a2_row13_col1207\" class=\"data row13 col1207\" >2.635000</td>\n",
       "      <td id=\"T_457a2_row13_col1208\" class=\"data row13 col1208\" >3.462000</td>\n",
       "      <td id=\"T_457a2_row13_col1209\" class=\"data row13 col1209\" >3.026000</td>\n",
       "      <td id=\"T_457a2_row13_col1210\" class=\"data row13 col1210\" >2.703000</td>\n",
       "      <td id=\"T_457a2_row13_col1211\" class=\"data row13 col1211\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row13_col1212\" class=\"data row13 col1212\" >2.790000</td>\n",
       "      <td id=\"T_457a2_row13_col1213\" class=\"data row13 col1213\" >2.693000</td>\n",
       "      <td id=\"T_457a2_row13_col1214\" class=\"data row13 col1214\" >3.578000</td>\n",
       "      <td id=\"T_457a2_row13_col1215\" class=\"data row13 col1215\" >3.573000</td>\n",
       "      <td id=\"T_457a2_row13_col1216\" class=\"data row13 col1216\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row13_col1217\" class=\"data row13 col1217\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row13_col1218\" class=\"data row13 col1218\" >2.831000</td>\n",
       "      <td id=\"T_457a2_row13_col1219\" class=\"data row13 col1219\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row13_col1220\" class=\"data row13 col1220\" >2.941000</td>\n",
       "      <td id=\"T_457a2_row13_col1221\" class=\"data row13 col1221\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row13_col1222\" class=\"data row13 col1222\" >2.745000</td>\n",
       "      <td id=\"T_457a2_row13_col1223\" class=\"data row13 col1223\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row13_col1224\" class=\"data row13 col1224\" >2.377000</td>\n",
       "      <td id=\"T_457a2_row13_col1225\" class=\"data row13 col1225\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row13_col1226\" class=\"data row13 col1226\" >2.990000</td>\n",
       "      <td id=\"T_457a2_row13_col1227\" class=\"data row13 col1227\" >2.187000</td>\n",
       "      <td id=\"T_457a2_row13_col1228\" class=\"data row13 col1228\" >2.232000</td>\n",
       "      <td id=\"T_457a2_row13_col1229\" class=\"data row13 col1229\" >2.515000</td>\n",
       "      <td id=\"T_457a2_row13_col1230\" class=\"data row13 col1230\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row13_col1231\" class=\"data row13 col1231\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row13_col1232\" class=\"data row13 col1232\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row13_col1233\" class=\"data row13 col1233\" >2.475000</td>\n",
       "      <td id=\"T_457a2_row13_col1234\" class=\"data row13 col1234\" >2.918000</td>\n",
       "      <td id=\"T_457a2_row13_col1235\" class=\"data row13 col1235\" >2.160000</td>\n",
       "      <td id=\"T_457a2_row13_col1236\" class=\"data row13 col1236\" >2.752000</td>\n",
       "      <td id=\"T_457a2_row13_col1237\" class=\"data row13 col1237\" >2.923000</td>\n",
       "      <td id=\"T_457a2_row13_col1238\" class=\"data row13 col1238\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row13_col1239\" class=\"data row13 col1239\" >2.081000</td>\n",
       "      <td id=\"T_457a2_row13_col1240\" class=\"data row13 col1240\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row13_col1241\" class=\"data row13 col1241\" >2.435000</td>\n",
       "      <td id=\"T_457a2_row13_col1242\" class=\"data row13 col1242\" >2.537000</td>\n",
       "      <td id=\"T_457a2_row13_col1243\" class=\"data row13 col1243\" >2.218000</td>\n",
       "      <td id=\"T_457a2_row13_col1244\" class=\"data row13 col1244\" >2.277000</td>\n",
       "      <td id=\"T_457a2_row13_col1245\" class=\"data row13 col1245\" >2.727000</td>\n",
       "      <td id=\"T_457a2_row13_col1246\" class=\"data row13 col1246\" >3.611000</td>\n",
       "      <td id=\"T_457a2_row13_col1247\" class=\"data row13 col1247\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row13_col1248\" class=\"data row13 col1248\" >2.238000</td>\n",
       "      <td id=\"T_457a2_row13_col1249\" class=\"data row13 col1249\" >3.253000</td>\n",
       "      <td id=\"T_457a2_row13_col1250\" class=\"data row13 col1250\" >3.464000</td>\n",
       "      <td id=\"T_457a2_row13_col1251\" class=\"data row13 col1251\" >3.116000</td>\n",
       "      <td id=\"T_457a2_row13_col1252\" class=\"data row13 col1252\" >2.386000</td>\n",
       "      <td id=\"T_457a2_row13_col1253\" class=\"data row13 col1253\" >2.241000</td>\n",
       "      <td id=\"T_457a2_row13_col1254\" class=\"data row13 col1254\" >2.509000</td>\n",
       "      <td id=\"T_457a2_row13_col1255\" class=\"data row13 col1255\" >3.054000</td>\n",
       "      <td id=\"T_457a2_row13_col1256\" class=\"data row13 col1256\" >3.198000</td>\n",
       "      <td id=\"T_457a2_row13_col1257\" class=\"data row13 col1257\" >2.439000</td>\n",
       "      <td id=\"T_457a2_row13_col1258\" class=\"data row13 col1258\" >3.432000</td>\n",
       "      <td id=\"T_457a2_row13_col1259\" class=\"data row13 col1259\" >2.676000</td>\n",
       "      <td id=\"T_457a2_row13_col1260\" class=\"data row13 col1260\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row13_col1261\" class=\"data row13 col1261\" >3.222000</td>\n",
       "      <td id=\"T_457a2_row13_col1262\" class=\"data row13 col1262\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row13_col1263\" class=\"data row13 col1263\" >3.081000</td>\n",
       "      <td id=\"T_457a2_row13_col1264\" class=\"data row13 col1264\" >1.857000</td>\n",
       "      <td id=\"T_457a2_row13_col1265\" class=\"data row13 col1265\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row13_col1266\" class=\"data row13 col1266\" >2.000000</td>\n",
       "      <td id=\"T_457a2_row13_col1267\" class=\"data row13 col1267\" >2.100000</td>\n",
       "      <td id=\"T_457a2_row13_col1268\" class=\"data row13 col1268\" >2.010000</td>\n",
       "      <td id=\"T_457a2_row13_col1269\" class=\"data row13 col1269\" >2.365000</td>\n",
       "      <td id=\"T_457a2_row13_col1270\" class=\"data row13 col1270\" >2.951000</td>\n",
       "      <td id=\"T_457a2_row13_col1271\" class=\"data row13 col1271\" >2.323000</td>\n",
       "      <td id=\"T_457a2_row13_col1272\" class=\"data row13 col1272\" >1.630000</td>\n",
       "      <td id=\"T_457a2_row13_col1273\" class=\"data row13 col1273\" >2.580000</td>\n",
       "      <td id=\"T_457a2_row13_col1274\" class=\"data row13 col1274\" >2.207000</td>\n",
       "      <td id=\"T_457a2_row13_col1275\" class=\"data row13 col1275\" >2.628000</td>\n",
       "      <td id=\"T_457a2_row13_col1276\" class=\"data row13 col1276\" >2.002000</td>\n",
       "      <td id=\"T_457a2_row13_col1277\" class=\"data row13 col1277\" >2.551000</td>\n",
       "      <td id=\"T_457a2_row13_col1278\" class=\"data row13 col1278\" >2.131000</td>\n",
       "      <td id=\"T_457a2_row13_col1279\" class=\"data row13 col1279\" >2.205000</td>\n",
       "      <td id=\"T_457a2_row13_col1280\" class=\"data row13 col1280\" >1.974000</td>\n",
       "      <td id=\"T_457a2_row13_col1281\" class=\"data row13 col1281\" >3.186000</td>\n",
       "      <td id=\"T_457a2_row13_col1282\" class=\"data row13 col1282\" >2.323000</td>\n",
       "      <td id=\"T_457a2_row13_col1283\" class=\"data row13 col1283\" >2.405000</td>\n",
       "      <td id=\"T_457a2_row13_col1284\" class=\"data row13 col1284\" >2.685000</td>\n",
       "      <td id=\"T_457a2_row13_col1285\" class=\"data row13 col1285\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row13_col1286\" class=\"data row13 col1286\" >2.376000</td>\n",
       "      <td id=\"T_457a2_row13_col1287\" class=\"data row13 col1287\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row13_col1288\" class=\"data row13 col1288\" >2.860000</td>\n",
       "      <td id=\"T_457a2_row13_col1289\" class=\"data row13 col1289\" >2.966000</td>\n",
       "      <td id=\"T_457a2_row13_col1290\" class=\"data row13 col1290\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row13_col1291\" class=\"data row13 col1291\" >3.109000</td>\n",
       "      <td id=\"T_457a2_row13_col1292\" class=\"data row13 col1292\" >2.165000</td>\n",
       "      <td id=\"T_457a2_row13_col1293\" class=\"data row13 col1293\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row13_col1294\" class=\"data row13 col1294\" >3.029000</td>\n",
       "      <td id=\"T_457a2_row13_col1295\" class=\"data row13 col1295\" >3.610000</td>\n",
       "      <td id=\"T_457a2_row13_col1296\" class=\"data row13 col1296\" >3.410000</td>\n",
       "      <td id=\"T_457a2_row13_col1297\" class=\"data row13 col1297\" >3.821000</td>\n",
       "      <td id=\"T_457a2_row13_col1298\" class=\"data row13 col1298\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row13_col1299\" class=\"data row13 col1299\" >2.261000</td>\n",
       "      <td id=\"T_457a2_row13_col1300\" class=\"data row13 col1300\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row13_col1301\" class=\"data row13 col1301\" >2.594000</td>\n",
       "      <td id=\"T_457a2_row13_col1302\" class=\"data row13 col1302\" >2.368000</td>\n",
       "      <td id=\"T_457a2_row13_col1303\" class=\"data row13 col1303\" >2.606000</td>\n",
       "      <td id=\"T_457a2_row13_col1304\" class=\"data row13 col1304\" >2.655000</td>\n",
       "      <td id=\"T_457a2_row13_col1305\" class=\"data row13 col1305\" >2.109000</td>\n",
       "      <td id=\"T_457a2_row13_col1306\" class=\"data row13 col1306\" >2.334000</td>\n",
       "      <td id=\"T_457a2_row13_col1307\" class=\"data row13 col1307\" >2.508000</td>\n",
       "      <td id=\"T_457a2_row13_col1308\" class=\"data row13 col1308\" >2.126000</td>\n",
       "      <td id=\"T_457a2_row13_col1309\" class=\"data row13 col1309\" >2.877000</td>\n",
       "      <td id=\"T_457a2_row13_col1310\" class=\"data row13 col1310\" >2.232000</td>\n",
       "      <td id=\"T_457a2_row13_col1311\" class=\"data row13 col1311\" >1.761000</td>\n",
       "      <td id=\"T_457a2_row13_col1312\" class=\"data row13 col1312\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row13_col1313\" class=\"data row13 col1313\" >2.285000</td>\n",
       "      <td id=\"T_457a2_row13_col1314\" class=\"data row13 col1314\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row13_col1315\" class=\"data row13 col1315\" >2.063000</td>\n",
       "      <td id=\"T_457a2_row13_col1316\" class=\"data row13 col1316\" >1.699000</td>\n",
       "      <td id=\"T_457a2_row13_col1317\" class=\"data row13 col1317\" >2.608000</td>\n",
       "      <td id=\"T_457a2_row13_col1318\" class=\"data row13 col1318\" >2.287000</td>\n",
       "      <td id=\"T_457a2_row13_col1319\" class=\"data row13 col1319\" >2.849000</td>\n",
       "      <td id=\"T_457a2_row13_col1320\" class=\"data row13 col1320\" >3.110000</td>\n",
       "      <td id=\"T_457a2_row13_col1321\" class=\"data row13 col1321\" >2.453000</td>\n",
       "      <td id=\"T_457a2_row13_col1322\" class=\"data row13 col1322\" >2.773000</td>\n",
       "      <td id=\"T_457a2_row13_col1323\" class=\"data row13 col1323\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row13_col1324\" class=\"data row13 col1324\" >2.887000</td>\n",
       "      <td id=\"T_457a2_row13_col1325\" class=\"data row13 col1325\" >3.030000</td>\n",
       "      <td id=\"T_457a2_row13_col1326\" class=\"data row13 col1326\" >3.228000</td>\n",
       "      <td id=\"T_457a2_row13_col1327\" class=\"data row13 col1327\" >2.120000</td>\n",
       "      <td id=\"T_457a2_row13_col1328\" class=\"data row13 col1328\" >2.834000</td>\n",
       "      <td id=\"T_457a2_row13_col1329\" class=\"data row13 col1329\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row13_col1330\" class=\"data row13 col1330\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row13_col1331\" class=\"data row13 col1331\" >2.122000</td>\n",
       "      <td id=\"T_457a2_row13_col1332\" class=\"data row13 col1332\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row13_col1333\" class=\"data row13 col1333\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row13_col1334\" class=\"data row13 col1334\" >2.388000</td>\n",
       "      <td id=\"T_457a2_row13_col1335\" class=\"data row13 col1335\" >2.802000</td>\n",
       "      <td id=\"T_457a2_row13_col1336\" class=\"data row13 col1336\" >2.397000</td>\n",
       "      <td id=\"T_457a2_row13_col1337\" class=\"data row13 col1337\" >2.763000</td>\n",
       "      <td id=\"T_457a2_row13_col1338\" class=\"data row13 col1338\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row13_col1339\" class=\"data row13 col1339\" >2.860000</td>\n",
       "      <td id=\"T_457a2_row13_col1340\" class=\"data row13 col1340\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row13_col1341\" class=\"data row13 col1341\" >2.794000</td>\n",
       "      <td id=\"T_457a2_row13_col1342\" class=\"data row13 col1342\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row13_col1343\" class=\"data row13 col1343\" >2.770000</td>\n",
       "      <td id=\"T_457a2_row13_col1344\" class=\"data row13 col1344\" >2.533000</td>\n",
       "      <td id=\"T_457a2_row13_col1345\" class=\"data row13 col1345\" >2.353000</td>\n",
       "      <td id=\"T_457a2_row13_col1346\" class=\"data row13 col1346\" >2.188000</td>\n",
       "      <td id=\"T_457a2_row13_col1347\" class=\"data row13 col1347\" >2.444000</td>\n",
       "      <td id=\"T_457a2_row13_col1348\" class=\"data row13 col1348\" >2.703000</td>\n",
       "      <td id=\"T_457a2_row13_col1349\" class=\"data row13 col1349\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row13_col1350\" class=\"data row13 col1350\" >2.452000</td>\n",
       "      <td id=\"T_457a2_row13_col1351\" class=\"data row13 col1351\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row13_col1352\" class=\"data row13 col1352\" >2.501000</td>\n",
       "      <td id=\"T_457a2_row13_col1353\" class=\"data row13 col1353\" >2.796000</td>\n",
       "      <td id=\"T_457a2_row13_col1354\" class=\"data row13 col1354\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row13_col1355\" class=\"data row13 col1355\" >2.581000</td>\n",
       "      <td id=\"T_457a2_row13_col1356\" class=\"data row13 col1356\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row13_col1357\" class=\"data row13 col1357\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row13_col1358\" class=\"data row13 col1358\" >2.142000</td>\n",
       "      <td id=\"T_457a2_row13_col1359\" class=\"data row13 col1359\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row13_col1360\" class=\"data row13 col1360\" >2.762000</td>\n",
       "      <td id=\"T_457a2_row13_col1361\" class=\"data row13 col1361\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row13_col1362\" class=\"data row13 col1362\" >2.736000</td>\n",
       "      <td id=\"T_457a2_row13_col1363\" class=\"data row13 col1363\" >2.646000</td>\n",
       "      <td id=\"T_457a2_row13_col1364\" class=\"data row13 col1364\" >2.917000</td>\n",
       "      <td id=\"T_457a2_row13_col1365\" class=\"data row13 col1365\" >2.946000</td>\n",
       "      <td id=\"T_457a2_row13_col1366\" class=\"data row13 col1366\" >2.603000</td>\n",
       "      <td id=\"T_457a2_row13_col1367\" class=\"data row13 col1367\" >2.842000</td>\n",
       "      <td id=\"T_457a2_row13_col1368\" class=\"data row13 col1368\" >2.845000</td>\n",
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       "      <td id=\"T_457a2_row13_col1373\" class=\"data row13 col1373\" >3.362000</td>\n",
       "      <td id=\"T_457a2_row13_col1374\" class=\"data row13 col1374\" >2.931000</td>\n",
       "      <td id=\"T_457a2_row13_col1375\" class=\"data row13 col1375\" >3.972000</td>\n",
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       "      <td id=\"T_457a2_row13_col1380\" class=\"data row13 col1380\" >2.005000</td>\n",
       "      <td id=\"T_457a2_row13_col1381\" class=\"data row13 col1381\" >2.668000</td>\n",
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       "      <td id=\"T_457a2_row13_col1383\" class=\"data row13 col1383\" >2.455000</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_457a2_row14_col1077\" class=\"data row14 col1077\" >216.930000</td>\n",
       "      <td id=\"T_457a2_row14_col1078\" class=\"data row14 col1078\" >295.720000</td>\n",
       "      <td id=\"T_457a2_row14_col1079\" class=\"data row14 col1079\" >287.650000</td>\n",
       "      <td id=\"T_457a2_row14_col1080\" class=\"data row14 col1080\" >346.380000</td>\n",
       "      <td id=\"T_457a2_row14_col1081\" class=\"data row14 col1081\" >199.830000</td>\n",
       "      <td id=\"T_457a2_row14_col1082\" class=\"data row14 col1082\" >230.100000</td>\n",
       "      <td id=\"T_457a2_row14_col1083\" class=\"data row14 col1083\" >159.120000</td>\n",
       "      <td id=\"T_457a2_row14_col1084\" class=\"data row14 col1084\" >1.820000</td>\n",
       "      <td id=\"T_457a2_row14_col1085\" class=\"data row14 col1085\" >2.363000</td>\n",
       "      <td id=\"T_457a2_row14_col1086\" class=\"data row14 col1086\" >2.066000</td>\n",
       "      <td id=\"T_457a2_row14_col1087\" class=\"data row14 col1087\" >2.081000</td>\n",
       "      <td id=\"T_457a2_row14_col1088\" class=\"data row14 col1088\" >2.291000</td>\n",
       "      <td id=\"T_457a2_row14_col1089\" class=\"data row14 col1089\" >2.634000</td>\n",
       "      <td id=\"T_457a2_row14_col1090\" class=\"data row14 col1090\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row14_col1091\" class=\"data row14 col1091\" >2.884000</td>\n",
       "      <td id=\"T_457a2_row14_col1092\" class=\"data row14 col1092\" >1.527000</td>\n",
       "      <td id=\"T_457a2_row14_col1093\" class=\"data row14 col1093\" >2.679000</td>\n",
       "      <td id=\"T_457a2_row14_col1094\" class=\"data row14 col1094\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row14_col1095\" class=\"data row14 col1095\" >3.238000</td>\n",
       "      <td id=\"T_457a2_row14_col1096\" class=\"data row14 col1096\" >2.036000</td>\n",
       "      <td id=\"T_457a2_row14_col1097\" class=\"data row14 col1097\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row14_col1098\" class=\"data row14 col1098\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row14_col1099\" class=\"data row14 col1099\" >2.256000</td>\n",
       "      <td id=\"T_457a2_row14_col1100\" class=\"data row14 col1100\" >2.347000</td>\n",
       "      <td id=\"T_457a2_row14_col1101\" class=\"data row14 col1101\" >3.213000</td>\n",
       "      <td id=\"T_457a2_row14_col1102\" class=\"data row14 col1102\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row14_col1103\" class=\"data row14 col1103\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row14_col1104\" class=\"data row14 col1104\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row14_col1105\" class=\"data row14 col1105\" >2.525000</td>\n",
       "      <td id=\"T_457a2_row14_col1106\" class=\"data row14 col1106\" >2.382000</td>\n",
       "      <td id=\"T_457a2_row14_col1107\" class=\"data row14 col1107\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row14_col1108\" class=\"data row14 col1108\" >3.516000</td>\n",
       "      <td id=\"T_457a2_row14_col1109\" class=\"data row14 col1109\" >3.723000</td>\n",
       "      <td id=\"T_457a2_row14_col1110\" class=\"data row14 col1110\" >2.987000</td>\n",
       "      <td id=\"T_457a2_row14_col1111\" class=\"data row14 col1111\" >3.358000</td>\n",
       "      <td id=\"T_457a2_row14_col1112\" class=\"data row14 col1112\" >2.689000</td>\n",
       "      <td id=\"T_457a2_row14_col1113\" class=\"data row14 col1113\" >3.155000</td>\n",
       "      <td id=\"T_457a2_row14_col1114\" class=\"data row14 col1114\" >3.699000</td>\n",
       "      <td id=\"T_457a2_row14_col1115\" class=\"data row14 col1115\" >3.346000</td>\n",
       "      <td id=\"T_457a2_row14_col1116\" class=\"data row14 col1116\" >3.773000</td>\n",
       "      <td id=\"T_457a2_row14_col1117\" class=\"data row14 col1117\" >3.777000</td>\n",
       "      <td id=\"T_457a2_row14_col1118\" class=\"data row14 col1118\" >3.300000</td>\n",
       "      <td id=\"T_457a2_row14_col1119\" class=\"data row14 col1119\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row14_col1120\" class=\"data row14 col1120\" >2.644000</td>\n",
       "      <td id=\"T_457a2_row14_col1121\" class=\"data row14 col1121\" >2.849000</td>\n",
       "      <td id=\"T_457a2_row14_col1122\" class=\"data row14 col1122\" >2.232000</td>\n",
       "      <td id=\"T_457a2_row14_col1123\" class=\"data row14 col1123\" >2.900000</td>\n",
       "      <td id=\"T_457a2_row14_col1124\" class=\"data row14 col1124\" >3.281000</td>\n",
       "      <td id=\"T_457a2_row14_col1125\" class=\"data row14 col1125\" >2.437000</td>\n",
       "      <td id=\"T_457a2_row14_col1126\" class=\"data row14 col1126\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row14_col1127\" class=\"data row14 col1127\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row14_col1128\" class=\"data row14 col1128\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row14_col1129\" class=\"data row14 col1129\" >3.065000</td>\n",
       "      <td id=\"T_457a2_row14_col1130\" class=\"data row14 col1130\" >2.462000</td>\n",
       "      <td id=\"T_457a2_row14_col1131\" class=\"data row14 col1131\" >1.585000</td>\n",
       "      <td id=\"T_457a2_row14_col1132\" class=\"data row14 col1132\" >1.615000</td>\n",
       "      <td id=\"T_457a2_row14_col1133\" class=\"data row14 col1133\" >2.630000</td>\n",
       "      <td id=\"T_457a2_row14_col1134\" class=\"data row14 col1134\" >2.154000</td>\n",
       "      <td id=\"T_457a2_row14_col1135\" class=\"data row14 col1135\" >2.091000</td>\n",
       "      <td id=\"T_457a2_row14_col1136\" class=\"data row14 col1136\" >2.004000</td>\n",
       "      <td id=\"T_457a2_row14_col1137\" class=\"data row14 col1137\" >2.767000</td>\n",
       "      <td id=\"T_457a2_row14_col1138\" class=\"data row14 col1138\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row14_col1139\" class=\"data row14 col1139\" >3.613000</td>\n",
       "      <td id=\"T_457a2_row14_col1140\" class=\"data row14 col1140\" >3.333000</td>\n",
       "      <td id=\"T_457a2_row14_col1141\" class=\"data row14 col1141\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row14_col1142\" class=\"data row14 col1142\" >3.279000</td>\n",
       "      <td id=\"T_457a2_row14_col1143\" class=\"data row14 col1143\" >3.408000</td>\n",
       "      <td id=\"T_457a2_row14_col1144\" class=\"data row14 col1144\" >4.061000</td>\n",
       "      <td id=\"T_457a2_row14_col1145\" class=\"data row14 col1145\" >3.660000</td>\n",
       "      <td id=\"T_457a2_row14_col1146\" class=\"data row14 col1146\" >3.823000</td>\n",
       "      <td id=\"T_457a2_row14_col1147\" class=\"data row14 col1147\" >3.259000</td>\n",
       "      <td id=\"T_457a2_row14_col1148\" class=\"data row14 col1148\" >3.782000</td>\n",
       "      <td id=\"T_457a2_row14_col1149\" class=\"data row14 col1149\" >3.560000</td>\n",
       "      <td id=\"T_457a2_row14_col1150\" class=\"data row14 col1150\" >3.000000</td>\n",
       "      <td id=\"T_457a2_row14_col1151\" class=\"data row14 col1151\" >2.859000</td>\n",
       "      <td id=\"T_457a2_row14_col1152\" class=\"data row14 col1152\" >3.691000</td>\n",
       "      <td id=\"T_457a2_row14_col1153\" class=\"data row14 col1153\" >4.117000</td>\n",
       "      <td id=\"T_457a2_row14_col1154\" class=\"data row14 col1154\" >3.356000</td>\n",
       "      <td id=\"T_457a2_row14_col1155\" class=\"data row14 col1155\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row14_col1156\" class=\"data row14 col1156\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row14_col1157\" class=\"data row14 col1157\" >2.939000</td>\n",
       "      <td id=\"T_457a2_row14_col1158\" class=\"data row14 col1158\" >3.587000</td>\n",
       "      <td id=\"T_457a2_row14_col1159\" class=\"data row14 col1159\" >3.481000</td>\n",
       "      <td id=\"T_457a2_row14_col1160\" class=\"data row14 col1160\" >3.679000</td>\n",
       "      <td id=\"T_457a2_row14_col1161\" class=\"data row14 col1161\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row14_col1162\" class=\"data row14 col1162\" >2.947000</td>\n",
       "      <td id=\"T_457a2_row14_col1163\" class=\"data row14 col1163\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row14_col1164\" class=\"data row14 col1164\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row14_col1165\" class=\"data row14 col1165\" >2.883000</td>\n",
       "      <td id=\"T_457a2_row14_col1166\" class=\"data row14 col1166\" >3.136000</td>\n",
       "      <td id=\"T_457a2_row14_col1167\" class=\"data row14 col1167\" >3.046000</td>\n",
       "      <td id=\"T_457a2_row14_col1168\" class=\"data row14 col1168\" >3.167000</td>\n",
       "      <td id=\"T_457a2_row14_col1169\" class=\"data row14 col1169\" >2.790000</td>\n",
       "      <td id=\"T_457a2_row14_col1170\" class=\"data row14 col1170\" >3.398000</td>\n",
       "      <td id=\"T_457a2_row14_col1171\" class=\"data row14 col1171\" >3.525000</td>\n",
       "      <td id=\"T_457a2_row14_col1172\" class=\"data row14 col1172\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row14_col1173\" class=\"data row14 col1173\" >3.544000</td>\n",
       "      <td id=\"T_457a2_row14_col1174\" class=\"data row14 col1174\" >3.569000</td>\n",
       "      <td id=\"T_457a2_row14_col1175\" class=\"data row14 col1175\" >3.303000</td>\n",
       "      <td id=\"T_457a2_row14_col1176\" class=\"data row14 col1176\" >2.536000</td>\n",
       "      <td id=\"T_457a2_row14_col1177\" class=\"data row14 col1177\" >3.100000</td>\n",
       "      <td id=\"T_457a2_row14_col1178\" class=\"data row14 col1178\" >2.165000</td>\n",
       "      <td id=\"T_457a2_row14_col1179\" class=\"data row14 col1179\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row14_col1180\" class=\"data row14 col1180\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row14_col1181\" class=\"data row14 col1181\" >3.542000</td>\n",
       "      <td id=\"T_457a2_row14_col1182\" class=\"data row14 col1182\" >3.209000</td>\n",
       "      <td id=\"T_457a2_row14_col1183\" class=\"data row14 col1183\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row14_col1184\" class=\"data row14 col1184\" >3.297000</td>\n",
       "      <td id=\"T_457a2_row14_col1185\" class=\"data row14 col1185\" >2.790000</td>\n",
       "      <td id=\"T_457a2_row14_col1186\" class=\"data row14 col1186\" >2.702000</td>\n",
       "      <td id=\"T_457a2_row14_col1187\" class=\"data row14 col1187\" >2.739000</td>\n",
       "      <td id=\"T_457a2_row14_col1188\" class=\"data row14 col1188\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row14_col1189\" class=\"data row14 col1189\" >4.022000</td>\n",
       "      <td id=\"T_457a2_row14_col1190\" class=\"data row14 col1190\" >3.351000</td>\n",
       "      <td id=\"T_457a2_row14_col1191\" class=\"data row14 col1191\" >3.296000</td>\n",
       "      <td id=\"T_457a2_row14_col1192\" class=\"data row14 col1192\" >3.327000</td>\n",
       "      <td id=\"T_457a2_row14_col1193\" class=\"data row14 col1193\" >3.594000</td>\n",
       "      <td id=\"T_457a2_row14_col1194\" class=\"data row14 col1194\" >3.529000</td>\n",
       "      <td id=\"T_457a2_row14_col1195\" class=\"data row14 col1195\" >4.119000</td>\n",
       "      <td id=\"T_457a2_row14_col1196\" class=\"data row14 col1196\" >3.020000</td>\n",
       "      <td id=\"T_457a2_row14_col1197\" class=\"data row14 col1197\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row14_col1198\" class=\"data row14 col1198\" >2.643000</td>\n",
       "      <td id=\"T_457a2_row14_col1199\" class=\"data row14 col1199\" >2.601000</td>\n",
       "      <td id=\"T_457a2_row14_col1200\" class=\"data row14 col1200\" >2.413000</td>\n",
       "      <td id=\"T_457a2_row14_col1201\" class=\"data row14 col1201\" >3.622000</td>\n",
       "      <td id=\"T_457a2_row14_col1202\" class=\"data row14 col1202\" >2.065000</td>\n",
       "      <td id=\"T_457a2_row14_col1203\" class=\"data row14 col1203\" >2.987000</td>\n",
       "      <td id=\"T_457a2_row14_col1204\" class=\"data row14 col1204\" >2.866000</td>\n",
       "      <td id=\"T_457a2_row14_col1205\" class=\"data row14 col1205\" >3.628000</td>\n",
       "      <td id=\"T_457a2_row14_col1206\" class=\"data row14 col1206\" >3.724000</td>\n",
       "      <td id=\"T_457a2_row14_col1207\" class=\"data row14 col1207\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row14_col1208\" class=\"data row14 col1208\" >3.497000</td>\n",
       "      <td id=\"T_457a2_row14_col1209\" class=\"data row14 col1209\" >3.150000</td>\n",
       "      <td id=\"T_457a2_row14_col1210\" class=\"data row14 col1210\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row14_col1211\" class=\"data row14 col1211\" >3.229000</td>\n",
       "      <td id=\"T_457a2_row14_col1212\" class=\"data row14 col1212\" >2.954000</td>\n",
       "      <td id=\"T_457a2_row14_col1213\" class=\"data row14 col1213\" >3.099000</td>\n",
       "      <td id=\"T_457a2_row14_col1214\" class=\"data row14 col1214\" >3.544000</td>\n",
       "      <td id=\"T_457a2_row14_col1215\" class=\"data row14 col1215\" >4.288000</td>\n",
       "      <td id=\"T_457a2_row14_col1216\" class=\"data row14 col1216\" >3.416000</td>\n",
       "      <td id=\"T_457a2_row14_col1217\" class=\"data row14 col1217\" >3.154000</td>\n",
       "      <td id=\"T_457a2_row14_col1218\" class=\"data row14 col1218\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row14_col1219\" class=\"data row14 col1219\" >3.472000</td>\n",
       "      <td id=\"T_457a2_row14_col1220\" class=\"data row14 col1220\" >3.440000</td>\n",
       "      <td id=\"T_457a2_row14_col1221\" class=\"data row14 col1221\" >2.670000</td>\n",
       "      <td id=\"T_457a2_row14_col1222\" class=\"data row14 col1222\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row14_col1223\" class=\"data row14 col1223\" >2.950000</td>\n",
       "      <td id=\"T_457a2_row14_col1224\" class=\"data row14 col1224\" >2.353000</td>\n",
       "      <td id=\"T_457a2_row14_col1225\" class=\"data row14 col1225\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row14_col1226\" class=\"data row14 col1226\" >3.161000</td>\n",
       "      <td id=\"T_457a2_row14_col1227\" class=\"data row14 col1227\" >1.992000</td>\n",
       "      <td id=\"T_457a2_row14_col1228\" class=\"data row14 col1228\" >2.593000</td>\n",
       "      <td id=\"T_457a2_row14_col1229\" class=\"data row14 col1229\" >2.827000</td>\n",
       "      <td id=\"T_457a2_row14_col1230\" class=\"data row14 col1230\" >2.721000</td>\n",
       "      <td id=\"T_457a2_row14_col1231\" class=\"data row14 col1231\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row14_col1232\" class=\"data row14 col1232\" >2.802000</td>\n",
       "      <td id=\"T_457a2_row14_col1233\" class=\"data row14 col1233\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row14_col1234\" class=\"data row14 col1234\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row14_col1235\" class=\"data row14 col1235\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row14_col1236\" class=\"data row14 col1236\" >2.489000</td>\n",
       "      <td id=\"T_457a2_row14_col1237\" class=\"data row14 col1237\" >3.096000</td>\n",
       "      <td id=\"T_457a2_row14_col1238\" class=\"data row14 col1238\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row14_col1239\" class=\"data row14 col1239\" >1.933000</td>\n",
       "      <td id=\"T_457a2_row14_col1240\" class=\"data row14 col1240\" >2.975000</td>\n",
       "      <td id=\"T_457a2_row14_col1241\" class=\"data row14 col1241\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row14_col1242\" class=\"data row14 col1242\" >2.842000</td>\n",
       "      <td id=\"T_457a2_row14_col1243\" class=\"data row14 col1243\" >2.454000</td>\n",
       "      <td id=\"T_457a2_row14_col1244\" class=\"data row14 col1244\" >3.107000</td>\n",
       "      <td id=\"T_457a2_row14_col1245\" class=\"data row14 col1245\" >3.298000</td>\n",
       "      <td id=\"T_457a2_row14_col1246\" class=\"data row14 col1246\" >3.402000</td>\n",
       "      <td id=\"T_457a2_row14_col1247\" class=\"data row14 col1247\" >3.307000</td>\n",
       "      <td id=\"T_457a2_row14_col1248\" class=\"data row14 col1248\" >3.084000</td>\n",
       "      <td id=\"T_457a2_row14_col1249\" class=\"data row14 col1249\" >3.108000</td>\n",
       "      <td id=\"T_457a2_row14_col1250\" class=\"data row14 col1250\" >3.277000</td>\n",
       "      <td id=\"T_457a2_row14_col1251\" class=\"data row14 col1251\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row14_col1252\" class=\"data row14 col1252\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row14_col1253\" class=\"data row14 col1253\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row14_col1254\" class=\"data row14 col1254\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row14_col1255\" class=\"data row14 col1255\" >3.234000</td>\n",
       "      <td id=\"T_457a2_row14_col1256\" class=\"data row14 col1256\" >2.607000</td>\n",
       "      <td id=\"T_457a2_row14_col1257\" class=\"data row14 col1257\" >2.354000</td>\n",
       "      <td id=\"T_457a2_row14_col1258\" class=\"data row14 col1258\" >3.171000</td>\n",
       "      <td id=\"T_457a2_row14_col1259\" class=\"data row14 col1259\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row14_col1260\" class=\"data row14 col1260\" >3.367000</td>\n",
       "      <td id=\"T_457a2_row14_col1261\" class=\"data row14 col1261\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row14_col1262\" class=\"data row14 col1262\" >3.459000</td>\n",
       "      <td id=\"T_457a2_row14_col1263\" class=\"data row14 col1263\" >4.103000</td>\n",
       "      <td id=\"T_457a2_row14_col1264\" class=\"data row14 col1264\" >1.707000</td>\n",
       "      <td id=\"T_457a2_row14_col1265\" class=\"data row14 col1265\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row14_col1266\" class=\"data row14 col1266\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row14_col1267\" class=\"data row14 col1267\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row14_col1268\" class=\"data row14 col1268\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row14_col1269\" class=\"data row14 col1269\" >2.509000</td>\n",
       "      <td id=\"T_457a2_row14_col1270\" class=\"data row14 col1270\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row14_col1271\" class=\"data row14 col1271\" >2.972000</td>\n",
       "      <td id=\"T_457a2_row14_col1272\" class=\"data row14 col1272\" >1.534000</td>\n",
       "      <td id=\"T_457a2_row14_col1273\" class=\"data row14 col1273\" >2.860000</td>\n",
       "      <td id=\"T_457a2_row14_col1274\" class=\"data row14 col1274\" >2.690000</td>\n",
       "      <td id=\"T_457a2_row14_col1275\" class=\"data row14 col1275\" >3.211000</td>\n",
       "      <td id=\"T_457a2_row14_col1276\" class=\"data row14 col1276\" >2.378000</td>\n",
       "      <td id=\"T_457a2_row14_col1277\" class=\"data row14 col1277\" >2.752000</td>\n",
       "      <td id=\"T_457a2_row14_col1278\" class=\"data row14 col1278\" >2.993000</td>\n",
       "      <td id=\"T_457a2_row14_col1279\" class=\"data row14 col1279\" >2.172000</td>\n",
       "      <td id=\"T_457a2_row14_col1280\" class=\"data row14 col1280\" >2.605000</td>\n",
       "      <td id=\"T_457a2_row14_col1281\" class=\"data row14 col1281\" >3.002000</td>\n",
       "      <td id=\"T_457a2_row14_col1282\" class=\"data row14 col1282\" >2.129000</td>\n",
       "      <td id=\"T_457a2_row14_col1283\" class=\"data row14 col1283\" >2.737000</td>\n",
       "      <td id=\"T_457a2_row14_col1284\" class=\"data row14 col1284\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row14_col1285\" class=\"data row14 col1285\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row14_col1286\" class=\"data row14 col1286\" >2.051000</td>\n",
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       "      <td id=\"T_457a2_row14_col1288\" class=\"data row14 col1288\" >3.684000</td>\n",
       "      <td id=\"T_457a2_row14_col1289\" class=\"data row14 col1289\" >3.921000</td>\n",
       "      <td id=\"T_457a2_row14_col1290\" class=\"data row14 col1290\" >3.373000</td>\n",
       "      <td id=\"T_457a2_row14_col1291\" class=\"data row14 col1291\" >3.074000</td>\n",
       "      <td id=\"T_457a2_row14_col1292\" class=\"data row14 col1292\" >2.562000</td>\n",
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       "      <td id=\"T_457a2_row14_col1297\" class=\"data row14 col1297\" >4.022000</td>\n",
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       "      <td id=\"T_457a2_row14_col1303\" class=\"data row14 col1303\" >3.202000</td>\n",
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       "      <td id=\"T_457a2_row14_col1305\" class=\"data row14 col1305\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row14_col1306\" class=\"data row14 col1306\" >3.220000</td>\n",
       "      <td id=\"T_457a2_row14_col1307\" class=\"data row14 col1307\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row14_col1308\" class=\"data row14 col1308\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row14_col1309\" class=\"data row14 col1309\" >3.219000</td>\n",
       "      <td id=\"T_457a2_row14_col1310\" class=\"data row14 col1310\" >2.373000</td>\n",
       "      <td id=\"T_457a2_row14_col1311\" class=\"data row14 col1311\" >2.259000</td>\n",
       "      <td id=\"T_457a2_row14_col1312\" class=\"data row14 col1312\" >2.495000</td>\n",
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       "      <td id=\"T_457a2_row14_col1314\" class=\"data row14 col1314\" >2.313000</td>\n",
       "      <td id=\"T_457a2_row14_col1315\" class=\"data row14 col1315\" >2.192000</td>\n",
       "      <td id=\"T_457a2_row14_col1316\" class=\"data row14 col1316\" >2.024000</td>\n",
       "      <td id=\"T_457a2_row14_col1317\" class=\"data row14 col1317\" >2.623000</td>\n",
       "      <td id=\"T_457a2_row14_col1318\" class=\"data row14 col1318\" >2.652000</td>\n",
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       "      <td id=\"T_457a2_row14_col1320\" class=\"data row14 col1320\" >3.688000</td>\n",
       "      <td id=\"T_457a2_row14_col1321\" class=\"data row14 col1321\" >3.040000</td>\n",
       "      <td id=\"T_457a2_row14_col1322\" class=\"data row14 col1322\" >3.817000</td>\n",
       "      <td id=\"T_457a2_row14_col1323\" class=\"data row14 col1323\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row14_col1324\" class=\"data row14 col1324\" >4.078000</td>\n",
       "      <td id=\"T_457a2_row14_col1325\" class=\"data row14 col1325\" >3.414000</td>\n",
       "      <td id=\"T_457a2_row14_col1326\" class=\"data row14 col1326\" >3.802000</td>\n",
       "      <td id=\"T_457a2_row14_col1327\" class=\"data row14 col1327\" >3.891000</td>\n",
       "      <td id=\"T_457a2_row14_col1328\" class=\"data row14 col1328\" >3.631000</td>\n",
       "      <td id=\"T_457a2_row14_col1329\" class=\"data row14 col1329\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row14_col1330\" class=\"data row14 col1330\" >3.473000</td>\n",
       "      <td id=\"T_457a2_row14_col1331\" class=\"data row14 col1331\" >3.192000</td>\n",
       "      <td id=\"T_457a2_row14_col1332\" class=\"data row14 col1332\" >3.815000</td>\n",
       "      <td id=\"T_457a2_row14_col1333\" class=\"data row14 col1333\" >3.379000</td>\n",
       "      <td id=\"T_457a2_row14_col1334\" class=\"data row14 col1334\" >3.483000</td>\n",
       "      <td id=\"T_457a2_row14_col1335\" class=\"data row14 col1335\" >3.492000</td>\n",
       "      <td id=\"T_457a2_row14_col1336\" class=\"data row14 col1336\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row14_col1337\" class=\"data row14 col1337\" >2.987000</td>\n",
       "      <td id=\"T_457a2_row14_col1338\" class=\"data row14 col1338\" >3.034000</td>\n",
       "      <td id=\"T_457a2_row14_col1339\" class=\"data row14 col1339\" >3.138000</td>\n",
       "      <td id=\"T_457a2_row14_col1340\" class=\"data row14 col1340\" >3.195000</td>\n",
       "      <td id=\"T_457a2_row14_col1341\" class=\"data row14 col1341\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row14_col1342\" class=\"data row14 col1342\" >2.732000</td>\n",
       "      <td id=\"T_457a2_row14_col1343\" class=\"data row14 col1343\" >2.755000</td>\n",
       "      <td id=\"T_457a2_row14_col1344\" class=\"data row14 col1344\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row14_col1345\" class=\"data row14 col1345\" >2.609000</td>\n",
       "      <td id=\"T_457a2_row14_col1346\" class=\"data row14 col1346\" >2.817000</td>\n",
       "      <td id=\"T_457a2_row14_col1347\" class=\"data row14 col1347\" >2.525000</td>\n",
       "      <td id=\"T_457a2_row14_col1348\" class=\"data row14 col1348\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row14_col1349\" class=\"data row14 col1349\" >2.714000</td>\n",
       "      <td id=\"T_457a2_row14_col1350\" class=\"data row14 col1350\" >3.254000</td>\n",
       "      <td id=\"T_457a2_row14_col1351\" class=\"data row14 col1351\" >3.595000</td>\n",
       "      <td id=\"T_457a2_row14_col1352\" class=\"data row14 col1352\" >2.308000</td>\n",
       "      <td id=\"T_457a2_row14_col1353\" class=\"data row14 col1353\" >3.264000</td>\n",
       "      <td id=\"T_457a2_row14_col1354\" class=\"data row14 col1354\" >3.556000</td>\n",
       "      <td id=\"T_457a2_row14_col1355\" class=\"data row14 col1355\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row14_col1356\" class=\"data row14 col1356\" >2.233000</td>\n",
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       "      <td id=\"T_457a2_row15_col1064\" class=\"data row15 col1064\" >297.280000</td>\n",
       "      <td id=\"T_457a2_row15_col1065\" class=\"data row15 col1065\" >229.800000</td>\n",
       "      <td id=\"T_457a2_row15_col1066\" class=\"data row15 col1066\" >355.250000</td>\n",
       "      <td id=\"T_457a2_row15_col1067\" class=\"data row15 col1067\" >195.820000</td>\n",
       "      <td id=\"T_457a2_row15_col1068\" class=\"data row15 col1068\" >228.890000</td>\n",
       "      <td id=\"T_457a2_row15_col1069\" class=\"data row15 col1069\" >530.800000</td>\n",
       "      <td id=\"T_457a2_row15_col1070\" class=\"data row15 col1070\" >316.340000</td>\n",
       "      <td id=\"T_457a2_row15_col1071\" class=\"data row15 col1071\" >191.980000</td>\n",
       "      <td id=\"T_457a2_row15_col1072\" class=\"data row15 col1072\" >400.810000</td>\n",
       "      <td id=\"T_457a2_row15_col1073\" class=\"data row15 col1073\" >635.500000</td>\n",
       "      <td id=\"T_457a2_row15_col1074\" class=\"data row15 col1074\" >427.370000</td>\n",
       "      <td id=\"T_457a2_row15_col1075\" class=\"data row15 col1075\" >432.410000</td>\n",
       "      <td id=\"T_457a2_row15_col1076\" class=\"data row15 col1076\" >244.900000</td>\n",
       "      <td id=\"T_457a2_row15_col1077\" class=\"data row15 col1077\" >270.900000</td>\n",
       "      <td id=\"T_457a2_row15_col1078\" class=\"data row15 col1078\" >443.290000</td>\n",
       "      <td id=\"T_457a2_row15_col1079\" class=\"data row15 col1079\" >476.780000</td>\n",
       "      <td id=\"T_457a2_row15_col1080\" class=\"data row15 col1080\" >532.520000</td>\n",
       "      <td id=\"T_457a2_row15_col1081\" class=\"data row15 col1081\" >317.820000</td>\n",
       "      <td id=\"T_457a2_row15_col1082\" class=\"data row15 col1082\" >336.990000</td>\n",
       "      <td id=\"T_457a2_row15_col1083\" class=\"data row15 col1083\" >201.100000</td>\n",
       "      <td id=\"T_457a2_row15_col1084\" class=\"data row15 col1084\" >1.742000</td>\n",
       "      <td id=\"T_457a2_row15_col1085\" class=\"data row15 col1085\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row15_col1086\" class=\"data row15 col1086\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row15_col1087\" class=\"data row15 col1087\" >2.224000</td>\n",
       "      <td id=\"T_457a2_row15_col1088\" class=\"data row15 col1088\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row15_col1089\" class=\"data row15 col1089\" >2.515000</td>\n",
       "      <td id=\"T_457a2_row15_col1090\" class=\"data row15 col1090\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row15_col1091\" class=\"data row15 col1091\" >2.930000</td>\n",
       "      <td id=\"T_457a2_row15_col1092\" class=\"data row15 col1092\" >1.783000</td>\n",
       "      <td id=\"T_457a2_row15_col1093\" class=\"data row15 col1093\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row15_col1094\" class=\"data row15 col1094\" >3.179000</td>\n",
       "      <td id=\"T_457a2_row15_col1095\" class=\"data row15 col1095\" >3.358000</td>\n",
       "      <td id=\"T_457a2_row15_col1096\" class=\"data row15 col1096\" >2.479000</td>\n",
       "      <td id=\"T_457a2_row15_col1097\" class=\"data row15 col1097\" >2.174000</td>\n",
       "      <td id=\"T_457a2_row15_col1098\" class=\"data row15 col1098\" >2.865000</td>\n",
       "      <td id=\"T_457a2_row15_col1099\" class=\"data row15 col1099\" >2.510000</td>\n",
       "      <td id=\"T_457a2_row15_col1100\" class=\"data row15 col1100\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row15_col1101\" class=\"data row15 col1101\" >3.141000</td>\n",
       "      <td id=\"T_457a2_row15_col1102\" class=\"data row15 col1102\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row15_col1103\" class=\"data row15 col1103\" >2.663000</td>\n",
       "      <td id=\"T_457a2_row15_col1104\" class=\"data row15 col1104\" >2.627000</td>\n",
       "      <td id=\"T_457a2_row15_col1105\" class=\"data row15 col1105\" >3.110000</td>\n",
       "      <td id=\"T_457a2_row15_col1106\" class=\"data row15 col1106\" >2.617000</td>\n",
       "      <td id=\"T_457a2_row15_col1107\" class=\"data row15 col1107\" >2.811000</td>\n",
       "      <td id=\"T_457a2_row15_col1108\" class=\"data row15 col1108\" >3.099000</td>\n",
       "      <td id=\"T_457a2_row15_col1109\" class=\"data row15 col1109\" >3.887000</td>\n",
       "      <td id=\"T_457a2_row15_col1110\" class=\"data row15 col1110\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row15_col1111\" class=\"data row15 col1111\" >3.347000</td>\n",
       "      <td id=\"T_457a2_row15_col1112\" class=\"data row15 col1112\" >3.281000</td>\n",
       "      <td id=\"T_457a2_row15_col1113\" class=\"data row15 col1113\" >3.239000</td>\n",
       "      <td id=\"T_457a2_row15_col1114\" class=\"data row15 col1114\" >3.092000</td>\n",
       "      <td id=\"T_457a2_row15_col1115\" class=\"data row15 col1115\" >3.253000</td>\n",
       "      <td id=\"T_457a2_row15_col1116\" class=\"data row15 col1116\" >3.425000</td>\n",
       "      <td id=\"T_457a2_row15_col1117\" class=\"data row15 col1117\" >3.618000</td>\n",
       "      <td id=\"T_457a2_row15_col1118\" class=\"data row15 col1118\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row15_col1119\" class=\"data row15 col1119\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row15_col1120\" class=\"data row15 col1120\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row15_col1121\" class=\"data row15 col1121\" >2.910000</td>\n",
       "      <td id=\"T_457a2_row15_col1122\" class=\"data row15 col1122\" >2.945000</td>\n",
       "      <td id=\"T_457a2_row15_col1123\" class=\"data row15 col1123\" >2.916000</td>\n",
       "      <td id=\"T_457a2_row15_col1124\" class=\"data row15 col1124\" >3.125000</td>\n",
       "      <td id=\"T_457a2_row15_col1125\" class=\"data row15 col1125\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row15_col1126\" class=\"data row15 col1126\" >3.323000</td>\n",
       "      <td id=\"T_457a2_row15_col1127\" class=\"data row15 col1127\" >3.625000</td>\n",
       "      <td id=\"T_457a2_row15_col1128\" class=\"data row15 col1128\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row15_col1129\" class=\"data row15 col1129\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row15_col1130\" class=\"data row15 col1130\" >2.721000</td>\n",
       "      <td id=\"T_457a2_row15_col1131\" class=\"data row15 col1131\" >2.541000</td>\n",
       "      <td id=\"T_457a2_row15_col1132\" class=\"data row15 col1132\" >3.092000</td>\n",
       "      <td id=\"T_457a2_row15_col1133\" class=\"data row15 col1133\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row15_col1134\" class=\"data row15 col1134\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row15_col1135\" class=\"data row15 col1135\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row15_col1136\" class=\"data row15 col1136\" >2.264000</td>\n",
       "      <td id=\"T_457a2_row15_col1137\" class=\"data row15 col1137\" >3.486000</td>\n",
       "      <td id=\"T_457a2_row15_col1138\" class=\"data row15 col1138\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row15_col1139\" class=\"data row15 col1139\" >3.624000</td>\n",
       "      <td id=\"T_457a2_row15_col1140\" class=\"data row15 col1140\" >3.271000</td>\n",
       "      <td id=\"T_457a2_row15_col1141\" class=\"data row15 col1141\" >2.423000</td>\n",
       "      <td id=\"T_457a2_row15_col1142\" class=\"data row15 col1142\" >3.549000</td>\n",
       "      <td id=\"T_457a2_row15_col1143\" class=\"data row15 col1143\" >2.880000</td>\n",
       "      <td id=\"T_457a2_row15_col1144\" class=\"data row15 col1144\" >2.882000</td>\n",
       "      <td id=\"T_457a2_row15_col1145\" class=\"data row15 col1145\" >3.373000</td>\n",
       "      <td id=\"T_457a2_row15_col1146\" class=\"data row15 col1146\" >3.882000</td>\n",
       "      <td id=\"T_457a2_row15_col1147\" class=\"data row15 col1147\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row15_col1148\" class=\"data row15 col1148\" >3.106000</td>\n",
       "      <td id=\"T_457a2_row15_col1149\" class=\"data row15 col1149\" >2.799000</td>\n",
       "      <td id=\"T_457a2_row15_col1150\" class=\"data row15 col1150\" >3.526000</td>\n",
       "      <td id=\"T_457a2_row15_col1151\" class=\"data row15 col1151\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row15_col1152\" class=\"data row15 col1152\" >3.569000</td>\n",
       "      <td id=\"T_457a2_row15_col1153\" class=\"data row15 col1153\" >3.511000</td>\n",
       "      <td id=\"T_457a2_row15_col1154\" class=\"data row15 col1154\" >3.346000</td>\n",
       "      <td id=\"T_457a2_row15_col1155\" class=\"data row15 col1155\" >3.272000</td>\n",
       "      <td id=\"T_457a2_row15_col1156\" class=\"data row15 col1156\" >3.104000</td>\n",
       "      <td id=\"T_457a2_row15_col1157\" class=\"data row15 col1157\" >3.003000</td>\n",
       "      <td id=\"T_457a2_row15_col1158\" class=\"data row15 col1158\" >3.052000</td>\n",
       "      <td id=\"T_457a2_row15_col1159\" class=\"data row15 col1159\" >3.106000</td>\n",
       "      <td id=\"T_457a2_row15_col1160\" class=\"data row15 col1160\" >3.402000</td>\n",
       "      <td id=\"T_457a2_row15_col1161\" class=\"data row15 col1161\" >2.878000</td>\n",
       "      <td id=\"T_457a2_row15_col1162\" class=\"data row15 col1162\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row15_col1163\" class=\"data row15 col1163\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row15_col1164\" class=\"data row15 col1164\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row15_col1165\" class=\"data row15 col1165\" >2.841000</td>\n",
       "      <td id=\"T_457a2_row15_col1166\" class=\"data row15 col1166\" >3.150000</td>\n",
       "      <td id=\"T_457a2_row15_col1167\" class=\"data row15 col1167\" >2.917000</td>\n",
       "      <td id=\"T_457a2_row15_col1168\" class=\"data row15 col1168\" >2.812000</td>\n",
       "      <td id=\"T_457a2_row15_col1169\" class=\"data row15 col1169\" >2.848000</td>\n",
       "      <td id=\"T_457a2_row15_col1170\" class=\"data row15 col1170\" >3.189000</td>\n",
       "      <td id=\"T_457a2_row15_col1171\" class=\"data row15 col1171\" >3.354000</td>\n",
       "      <td id=\"T_457a2_row15_col1172\" class=\"data row15 col1172\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row15_col1173\" class=\"data row15 col1173\" >3.189000</td>\n",
       "      <td id=\"T_457a2_row15_col1174\" class=\"data row15 col1174\" >3.084000</td>\n",
       "      <td id=\"T_457a2_row15_col1175\" class=\"data row15 col1175\" >3.077000</td>\n",
       "      <td id=\"T_457a2_row15_col1176\" class=\"data row15 col1176\" >2.367000</td>\n",
       "      <td id=\"T_457a2_row15_col1177\" class=\"data row15 col1177\" >3.059000</td>\n",
       "      <td id=\"T_457a2_row15_col1178\" class=\"data row15 col1178\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row15_col1179\" class=\"data row15 col1179\" >2.805000</td>\n",
       "      <td id=\"T_457a2_row15_col1180\" class=\"data row15 col1180\" >3.067000</td>\n",
       "      <td id=\"T_457a2_row15_col1181\" class=\"data row15 col1181\" >3.796000</td>\n",
       "      <td id=\"T_457a2_row15_col1182\" class=\"data row15 col1182\" >3.482000</td>\n",
       "      <td id=\"T_457a2_row15_col1183\" class=\"data row15 col1183\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row15_col1184\" class=\"data row15 col1184\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row15_col1185\" class=\"data row15 col1185\" >2.931000</td>\n",
       "      <td id=\"T_457a2_row15_col1186\" class=\"data row15 col1186\" >2.602000</td>\n",
       "      <td id=\"T_457a2_row15_col1187\" class=\"data row15 col1187\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row15_col1188\" class=\"data row15 col1188\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row15_col1189\" class=\"data row15 col1189\" >3.566000</td>\n",
       "      <td id=\"T_457a2_row15_col1190\" class=\"data row15 col1190\" >3.547000</td>\n",
       "      <td id=\"T_457a2_row15_col1191\" class=\"data row15 col1191\" >3.211000</td>\n",
       "      <td id=\"T_457a2_row15_col1192\" class=\"data row15 col1192\" >3.599000</td>\n",
       "      <td id=\"T_457a2_row15_col1193\" class=\"data row15 col1193\" >3.686000</td>\n",
       "      <td id=\"T_457a2_row15_col1194\" class=\"data row15 col1194\" >2.847000</td>\n",
       "      <td id=\"T_457a2_row15_col1195\" class=\"data row15 col1195\" >3.949000</td>\n",
       "      <td id=\"T_457a2_row15_col1196\" class=\"data row15 col1196\" >3.259000</td>\n",
       "      <td id=\"T_457a2_row15_col1197\" class=\"data row15 col1197\" >2.778000</td>\n",
       "      <td id=\"T_457a2_row15_col1198\" class=\"data row15 col1198\" >3.168000</td>\n",
       "      <td id=\"T_457a2_row15_col1199\" class=\"data row15 col1199\" >2.775000</td>\n",
       "      <td id=\"T_457a2_row15_col1200\" class=\"data row15 col1200\" >2.714000</td>\n",
       "      <td id=\"T_457a2_row15_col1201\" class=\"data row15 col1201\" >3.641000</td>\n",
       "      <td id=\"T_457a2_row15_col1202\" class=\"data row15 col1202\" >2.199000</td>\n",
       "      <td id=\"T_457a2_row15_col1203\" class=\"data row15 col1203\" >2.766000</td>\n",
       "      <td id=\"T_457a2_row15_col1204\" class=\"data row15 col1204\" >2.308000</td>\n",
       "      <td id=\"T_457a2_row15_col1205\" class=\"data row15 col1205\" >3.348000</td>\n",
       "      <td id=\"T_457a2_row15_col1206\" class=\"data row15 col1206\" >4.052000</td>\n",
       "      <td id=\"T_457a2_row15_col1207\" class=\"data row15 col1207\" >2.973000</td>\n",
       "      <td id=\"T_457a2_row15_col1208\" class=\"data row15 col1208\" >3.394000</td>\n",
       "      <td id=\"T_457a2_row15_col1209\" class=\"data row15 col1209\" >3.304000</td>\n",
       "      <td id=\"T_457a2_row15_col1210\" class=\"data row15 col1210\" >3.032000</td>\n",
       "      <td id=\"T_457a2_row15_col1211\" class=\"data row15 col1211\" >3.154000</td>\n",
       "      <td id=\"T_457a2_row15_col1212\" class=\"data row15 col1212\" >3.014000</td>\n",
       "      <td id=\"T_457a2_row15_col1213\" class=\"data row15 col1213\" >3.263000</td>\n",
       "      <td id=\"T_457a2_row15_col1214\" class=\"data row15 col1214\" >3.614000</td>\n",
       "      <td id=\"T_457a2_row15_col1215\" class=\"data row15 col1215\" >3.065000</td>\n",
       "      <td id=\"T_457a2_row15_col1216\" class=\"data row15 col1216\" >3.243000</td>\n",
       "      <td id=\"T_457a2_row15_col1217\" class=\"data row15 col1217\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row15_col1218\" class=\"data row15 col1218\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row15_col1219\" class=\"data row15 col1219\" >3.148000</td>\n",
       "      <td id=\"T_457a2_row15_col1220\" class=\"data row15 col1220\" >3.284000</td>\n",
       "      <td id=\"T_457a2_row15_col1221\" class=\"data row15 col1221\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row15_col1222\" class=\"data row15 col1222\" >2.689000</td>\n",
       "      <td id=\"T_457a2_row15_col1223\" class=\"data row15 col1223\" >2.933000</td>\n",
       "      <td id=\"T_457a2_row15_col1224\" class=\"data row15 col1224\" >2.542000</td>\n",
       "      <td id=\"T_457a2_row15_col1225\" class=\"data row15 col1225\" >2.385000</td>\n",
       "      <td id=\"T_457a2_row15_col1226\" class=\"data row15 col1226\" >3.024000</td>\n",
       "      <td id=\"T_457a2_row15_col1227\" class=\"data row15 col1227\" >2.709000</td>\n",
       "      <td id=\"T_457a2_row15_col1228\" class=\"data row15 col1228\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row15_col1229\" class=\"data row15 col1229\" >2.714000</td>\n",
       "      <td id=\"T_457a2_row15_col1230\" class=\"data row15 col1230\" >3.224000</td>\n",
       "      <td id=\"T_457a2_row15_col1231\" class=\"data row15 col1231\" >3.450000</td>\n",
       "      <td id=\"T_457a2_row15_col1232\" class=\"data row15 col1232\" >2.849000</td>\n",
       "      <td id=\"T_457a2_row15_col1233\" class=\"data row15 col1233\" >2.823000</td>\n",
       "      <td id=\"T_457a2_row15_col1234\" class=\"data row15 col1234\" >3.010000</td>\n",
       "      <td id=\"T_457a2_row15_col1235\" class=\"data row15 col1235\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row15_col1236\" class=\"data row15 col1236\" >3.085000</td>\n",
       "      <td id=\"T_457a2_row15_col1237\" class=\"data row15 col1237\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row15_col1238\" class=\"data row15 col1238\" >2.763000</td>\n",
       "      <td id=\"T_457a2_row15_col1239\" class=\"data row15 col1239\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row15_col1240\" class=\"data row15 col1240\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row15_col1241\" class=\"data row15 col1241\" >2.759000</td>\n",
       "      <td id=\"T_457a2_row15_col1242\" class=\"data row15 col1242\" >2.405000</td>\n",
       "      <td id=\"T_457a2_row15_col1243\" class=\"data row15 col1243\" >2.798000</td>\n",
       "      <td id=\"T_457a2_row15_col1244\" class=\"data row15 col1244\" >2.850000</td>\n",
       "      <td id=\"T_457a2_row15_col1245\" class=\"data row15 col1245\" >3.375000</td>\n",
       "      <td id=\"T_457a2_row15_col1246\" class=\"data row15 col1246\" >3.244000</td>\n",
       "      <td id=\"T_457a2_row15_col1247\" class=\"data row15 col1247\" >3.318000</td>\n",
       "      <td id=\"T_457a2_row15_col1248\" class=\"data row15 col1248\" >2.590000</td>\n",
       "      <td id=\"T_457a2_row15_col1249\" class=\"data row15 col1249\" >3.249000</td>\n",
       "      <td id=\"T_457a2_row15_col1250\" class=\"data row15 col1250\" >3.267000</td>\n",
       "      <td id=\"T_457a2_row15_col1251\" class=\"data row15 col1251\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row15_col1252\" class=\"data row15 col1252\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row15_col1253\" class=\"data row15 col1253\" >2.890000</td>\n",
       "      <td id=\"T_457a2_row15_col1254\" class=\"data row15 col1254\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row15_col1255\" class=\"data row15 col1255\" >2.994000</td>\n",
       "      <td id=\"T_457a2_row15_col1256\" class=\"data row15 col1256\" >2.957000</td>\n",
       "      <td id=\"T_457a2_row15_col1257\" class=\"data row15 col1257\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row15_col1258\" class=\"data row15 col1258\" >3.644000</td>\n",
       "      <td id=\"T_457a2_row15_col1259\" class=\"data row15 col1259\" >3.022000</td>\n",
       "      <td id=\"T_457a2_row15_col1260\" class=\"data row15 col1260\" >3.220000</td>\n",
       "      <td id=\"T_457a2_row15_col1261\" class=\"data row15 col1261\" >3.073000</td>\n",
       "      <td id=\"T_457a2_row15_col1262\" class=\"data row15 col1262\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row15_col1263\" class=\"data row15 col1263\" >3.696000</td>\n",
       "      <td id=\"T_457a2_row15_col1264\" class=\"data row15 col1264\" >1.893000</td>\n",
       "      <td id=\"T_457a2_row15_col1265\" class=\"data row15 col1265\" >2.508000</td>\n",
       "      <td id=\"T_457a2_row15_col1266\" class=\"data row15 col1266\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row15_col1267\" class=\"data row15 col1267\" >2.222000</td>\n",
       "      <td id=\"T_457a2_row15_col1268\" class=\"data row15 col1268\" >2.597000</td>\n",
       "      <td id=\"T_457a2_row15_col1269\" class=\"data row15 col1269\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row15_col1270\" class=\"data row15 col1270\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row15_col1271\" class=\"data row15 col1271\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row15_col1272\" class=\"data row15 col1272\" >1.659000</td>\n",
       "      <td id=\"T_457a2_row15_col1273\" class=\"data row15 col1273\" >2.969000</td>\n",
       "      <td id=\"T_457a2_row15_col1274\" class=\"data row15 col1274\" >2.956000</td>\n",
       "      <td id=\"T_457a2_row15_col1275\" class=\"data row15 col1275\" >3.271000</td>\n",
       "      <td id=\"T_457a2_row15_col1276\" class=\"data row15 col1276\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row15_col1277\" class=\"data row15 col1277\" >2.118000</td>\n",
       "      <td id=\"T_457a2_row15_col1278\" class=\"data row15 col1278\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row15_col1279\" class=\"data row15 col1279\" >2.735000</td>\n",
       "      <td id=\"T_457a2_row15_col1280\" class=\"data row15 col1280\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row15_col1281\" class=\"data row15 col1281\" >2.763000</td>\n",
       "      <td id=\"T_457a2_row15_col1282\" class=\"data row15 col1282\" >2.604000</td>\n",
       "      <td id=\"T_457a2_row15_col1283\" class=\"data row15 col1283\" >2.598000</td>\n",
       "      <td id=\"T_457a2_row15_col1284\" class=\"data row15 col1284\" >2.954000</td>\n",
       "      <td id=\"T_457a2_row15_col1285\" class=\"data row15 col1285\" >3.364000</td>\n",
       "      <td id=\"T_457a2_row15_col1286\" class=\"data row15 col1286\" >2.907000</td>\n",
       "      <td id=\"T_457a2_row15_col1287\" class=\"data row15 col1287\" >2.944000</td>\n",
       "      <td id=\"T_457a2_row15_col1288\" class=\"data row15 col1288\" >3.496000</td>\n",
       "      <td id=\"T_457a2_row15_col1289\" class=\"data row15 col1289\" >4.016000</td>\n",
       "      <td id=\"T_457a2_row15_col1290\" class=\"data row15 col1290\" >2.850000</td>\n",
       "      <td id=\"T_457a2_row15_col1291\" class=\"data row15 col1291\" >3.111000</td>\n",
       "      <td id=\"T_457a2_row15_col1292\" class=\"data row15 col1292\" >3.796000</td>\n",
       "      <td id=\"T_457a2_row15_col1293\" class=\"data row15 col1293\" >3.244000</td>\n",
       "      <td id=\"T_457a2_row15_col1294\" class=\"data row15 col1294\" >3.435000</td>\n",
       "      <td id=\"T_457a2_row15_col1295\" class=\"data row15 col1295\" >3.630000</td>\n",
       "      <td id=\"T_457a2_row15_col1296\" class=\"data row15 col1296\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row15_col1297\" class=\"data row15 col1297\" >3.802000</td>\n",
       "      <td id=\"T_457a2_row15_col1298\" class=\"data row15 col1298\" >3.537000</td>\n",
       "      <td id=\"T_457a2_row15_col1299\" class=\"data row15 col1299\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row15_col1300\" class=\"data row15 col1300\" >2.936000</td>\n",
       "      <td id=\"T_457a2_row15_col1301\" class=\"data row15 col1301\" >2.956000</td>\n",
       "      <td id=\"T_457a2_row15_col1302\" class=\"data row15 col1302\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row15_col1303\" class=\"data row15 col1303\" >3.180000</td>\n",
       "      <td id=\"T_457a2_row15_col1304\" class=\"data row15 col1304\" >2.965000</td>\n",
       "      <td id=\"T_457a2_row15_col1305\" class=\"data row15 col1305\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row15_col1306\" class=\"data row15 col1306\" >3.321000</td>\n",
       "      <td id=\"T_457a2_row15_col1307\" class=\"data row15 col1307\" >3.460000</td>\n",
       "      <td id=\"T_457a2_row15_col1308\" class=\"data row15 col1308\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row15_col1309\" class=\"data row15 col1309\" >3.329000</td>\n",
       "      <td id=\"T_457a2_row15_col1310\" class=\"data row15 col1310\" >2.961000</td>\n",
       "      <td id=\"T_457a2_row15_col1311\" class=\"data row15 col1311\" >2.934000</td>\n",
       "      <td id=\"T_457a2_row15_col1312\" class=\"data row15 col1312\" >2.822000</td>\n",
       "      <td id=\"T_457a2_row15_col1313\" class=\"data row15 col1313\" >2.597000</td>\n",
       "      <td id=\"T_457a2_row15_col1314\" class=\"data row15 col1314\" >2.651000</td>\n",
       "      <td id=\"T_457a2_row15_col1315\" class=\"data row15 col1315\" >2.320000</td>\n",
       "      <td id=\"T_457a2_row15_col1316\" class=\"data row15 col1316\" >2.136000</td>\n",
       "      <td id=\"T_457a2_row15_col1317\" class=\"data row15 col1317\" >3.164000</td>\n",
       "      <td id=\"T_457a2_row15_col1318\" class=\"data row15 col1318\" >3.142000</td>\n",
       "      <td id=\"T_457a2_row15_col1319\" class=\"data row15 col1319\" >3.011000</td>\n",
       "      <td id=\"T_457a2_row15_col1320\" class=\"data row15 col1320\" >3.111000</td>\n",
       "      <td id=\"T_457a2_row15_col1321\" class=\"data row15 col1321\" >2.492000</td>\n",
       "      <td id=\"T_457a2_row15_col1322\" class=\"data row15 col1322\" >3.359000</td>\n",
       "      <td id=\"T_457a2_row15_col1323\" class=\"data row15 col1323\" >2.890000</td>\n",
       "      <td id=\"T_457a2_row15_col1324\" class=\"data row15 col1324\" >3.615000</td>\n",
       "      <td id=\"T_457a2_row15_col1325\" class=\"data row15 col1325\" >3.257000</td>\n",
       "      <td id=\"T_457a2_row15_col1326\" class=\"data row15 col1326\" >3.920000</td>\n",
       "      <td id=\"T_457a2_row15_col1327\" class=\"data row15 col1327\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row15_col1328\" class=\"data row15 col1328\" >2.811000</td>\n",
       "      <td id=\"T_457a2_row15_col1329\" class=\"data row15 col1329\" >3.046000</td>\n",
       "      <td id=\"T_457a2_row15_col1330\" class=\"data row15 col1330\" >3.207000</td>\n",
       "      <td id=\"T_457a2_row15_col1331\" class=\"data row15 col1331\" >2.730000</td>\n",
       "      <td id=\"T_457a2_row15_col1332\" class=\"data row15 col1332\" >3.352000</td>\n",
       "      <td id=\"T_457a2_row15_col1333\" class=\"data row15 col1333\" >3.495000</td>\n",
       "      <td id=\"T_457a2_row15_col1334\" class=\"data row15 col1334\" >3.389000</td>\n",
       "      <td id=\"T_457a2_row15_col1335\" class=\"data row15 col1335\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row15_col1336\" class=\"data row15 col1336\" >2.470000</td>\n",
       "      <td id=\"T_457a2_row15_col1337\" class=\"data row15 col1337\" >3.294000</td>\n",
       "      <td id=\"T_457a2_row15_col1338\" class=\"data row15 col1338\" >3.213000</td>\n",
       "      <td id=\"T_457a2_row15_col1339\" class=\"data row15 col1339\" >3.303000</td>\n",
       "      <td id=\"T_457a2_row15_col1340\" class=\"data row15 col1340\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row15_col1341\" class=\"data row15 col1341\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row15_col1342\" class=\"data row15 col1342\" >2.871000</td>\n",
       "      <td id=\"T_457a2_row15_col1343\" class=\"data row15 col1343\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row15_col1344\" class=\"data row15 col1344\" >2.912000</td>\n",
       "      <td id=\"T_457a2_row15_col1345\" class=\"data row15 col1345\" >2.538000</td>\n",
       "      <td id=\"T_457a2_row15_col1346\" class=\"data row15 col1346\" >2.930000</td>\n",
       "      <td id=\"T_457a2_row15_col1347\" class=\"data row15 col1347\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row15_col1348\" class=\"data row15 col1348\" >3.110000</td>\n",
       "      <td id=\"T_457a2_row15_col1349\" class=\"data row15 col1349\" >2.660000</td>\n",
       "      <td id=\"T_457a2_row15_col1350\" class=\"data row15 col1350\" >3.345000</td>\n",
       "      <td id=\"T_457a2_row15_col1351\" class=\"data row15 col1351\" >3.525000</td>\n",
       "      <td id=\"T_457a2_row15_col1352\" class=\"data row15 col1352\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row15_col1353\" class=\"data row15 col1353\" >3.387000</td>\n",
       "      <td id=\"T_457a2_row15_col1354\" class=\"data row15 col1354\" >3.350000</td>\n",
       "      <td id=\"T_457a2_row15_col1355\" class=\"data row15 col1355\" >3.398000</td>\n",
       "      <td id=\"T_457a2_row15_col1356\" class=\"data row15 col1356\" >2.293000</td>\n",
       "      <td id=\"T_457a2_row15_col1357\" class=\"data row15 col1357\" >3.167000</td>\n",
       "      <td id=\"T_457a2_row15_col1358\" class=\"data row15 col1358\" >2.897000</td>\n",
       "      <td id=\"T_457a2_row15_col1359\" class=\"data row15 col1359\" >2.372000</td>\n",
       "      <td id=\"T_457a2_row15_col1360\" class=\"data row15 col1360\" >3.472000</td>\n",
       "      <td id=\"T_457a2_row15_col1361\" class=\"data row15 col1361\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row15_col1362\" class=\"data row15 col1362\" >3.259000</td>\n",
       "      <td id=\"T_457a2_row15_col1363\" class=\"data row15 col1363\" >3.230000</td>\n",
       "      <td id=\"T_457a2_row15_col1364\" class=\"data row15 col1364\" >3.147000</td>\n",
       "      <td id=\"T_457a2_row15_col1365\" class=\"data row15 col1365\" >2.376000</td>\n",
       "      <td id=\"T_457a2_row15_col1366\" class=\"data row15 col1366\" >2.656000</td>\n",
       "      <td id=\"T_457a2_row15_col1367\" class=\"data row15 col1367\" >2.740000</td>\n",
       "      <td id=\"T_457a2_row15_col1368\" class=\"data row15 col1368\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row15_col1369\" class=\"data row15 col1369\" >3.840000</td>\n",
       "      <td id=\"T_457a2_row15_col1370\" class=\"data row15 col1370\" >3.256000</td>\n",
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       "      <td id=\"T_457a2_row15_col1372\" class=\"data row15 col1372\" >3.303000</td>\n",
       "      <td id=\"T_457a2_row15_col1373\" class=\"data row15 col1373\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row15_col1374\" class=\"data row15 col1374\" >3.196000</td>\n",
       "      <td id=\"T_457a2_row15_col1375\" class=\"data row15 col1375\" >4.124000</td>\n",
       "      <td id=\"T_457a2_row15_col1376\" class=\"data row15 col1376\" >3.105000</td>\n",
       "      <td id=\"T_457a2_row15_col1377\" class=\"data row15 col1377\" >2.792000</td>\n",
       "      <td id=\"T_457a2_row15_col1378\" class=\"data row15 col1378\" >3.011000</td>\n",
       "      <td id=\"T_457a2_row15_col1379\" class=\"data row15 col1379\" >2.918000</td>\n",
       "      <td id=\"T_457a2_row15_col1380\" class=\"data row15 col1380\" >2.662000</td>\n",
       "      <td id=\"T_457a2_row15_col1381\" class=\"data row15 col1381\" >3.460000</td>\n",
       "      <td id=\"T_457a2_row15_col1382\" class=\"data row15 col1382\" >2.240000</td>\n",
       "      <td id=\"T_457a2_row15_col1383\" class=\"data row15 col1383\" >3.366000</td>\n",
       "      <td id=\"T_457a2_row15_col1384\" class=\"data row15 col1384\" >2.412000</td>\n",
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       "      <td id=\"T_457a2_row15_col1390\" class=\"data row15 col1390\" >2.998000</td>\n",
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       "      <td id=\"T_457a2_row15_col1392\" class=\"data row15 col1392\" >3.151000</td>\n",
       "      <td id=\"T_457a2_row15_col1393\" class=\"data row15 col1393\" >3.501000</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_457a2_row16_col3\" class=\"data row16 col3\" >ASD</td>\n",
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       "      <td id=\"T_457a2_row16_col1055\" class=\"data row16 col1055\" >198.630000</td>\n",
       "      <td id=\"T_457a2_row16_col1056\" class=\"data row16 col1056\" >367.110000</td>\n",
       "      <td id=\"T_457a2_row16_col1057\" class=\"data row16 col1057\" >273.880000</td>\n",
       "      <td id=\"T_457a2_row16_col1058\" class=\"data row16 col1058\" >444.500000</td>\n",
       "      <td id=\"T_457a2_row16_col1059\" class=\"data row16 col1059\" >114.280000</td>\n",
       "      <td id=\"T_457a2_row16_col1060\" class=\"data row16 col1060\" >281.270000</td>\n",
       "      <td id=\"T_457a2_row16_col1061\" class=\"data row16 col1061\" >245.190000</td>\n",
       "      <td id=\"T_457a2_row16_col1062\" class=\"data row16 col1062\" >229.190000</td>\n",
       "      <td id=\"T_457a2_row16_col1063\" class=\"data row16 col1063\" >294.080000</td>\n",
       "      <td id=\"T_457a2_row16_col1064\" class=\"data row16 col1064\" >128.170000</td>\n",
       "      <td id=\"T_457a2_row16_col1065\" class=\"data row16 col1065\" >101.230000</td>\n",
       "      <td id=\"T_457a2_row16_col1066\" class=\"data row16 col1066\" >463.410000</td>\n",
       "      <td id=\"T_457a2_row16_col1067\" class=\"data row16 col1067\" >126.580000</td>\n",
       "      <td id=\"T_457a2_row16_col1068\" class=\"data row16 col1068\" >157.010000</td>\n",
       "      <td id=\"T_457a2_row16_col1069\" class=\"data row16 col1069\" >241.810000</td>\n",
       "      <td id=\"T_457a2_row16_col1070\" class=\"data row16 col1070\" >205.640000</td>\n",
       "      <td id=\"T_457a2_row16_col1071\" class=\"data row16 col1071\" >187.710000</td>\n",
       "      <td id=\"T_457a2_row16_col1072\" class=\"data row16 col1072\" >285.420000</td>\n",
       "      <td id=\"T_457a2_row16_col1073\" class=\"data row16 col1073\" >615.690000</td>\n",
       "      <td id=\"T_457a2_row16_col1074\" class=\"data row16 col1074\" >360.310000</td>\n",
       "      <td id=\"T_457a2_row16_col1075\" class=\"data row16 col1075\" >259.020000</td>\n",
       "      <td id=\"T_457a2_row16_col1076\" class=\"data row16 col1076\" >145.900000</td>\n",
       "      <td id=\"T_457a2_row16_col1077\" class=\"data row16 col1077\" >203.450000</td>\n",
       "      <td id=\"T_457a2_row16_col1078\" class=\"data row16 col1078\" >415.040000</td>\n",
       "      <td id=\"T_457a2_row16_col1079\" class=\"data row16 col1079\" >388.610000</td>\n",
       "      <td id=\"T_457a2_row16_col1080\" class=\"data row16 col1080\" >514.130000</td>\n",
       "      <td id=\"T_457a2_row16_col1081\" class=\"data row16 col1081\" >131.780000</td>\n",
       "      <td id=\"T_457a2_row16_col1082\" class=\"data row16 col1082\" >259.260000</td>\n",
       "      <td id=\"T_457a2_row16_col1083\" class=\"data row16 col1083\" >233.830000</td>\n",
       "      <td id=\"T_457a2_row16_col1084\" class=\"data row16 col1084\" >2.157000</td>\n",
       "      <td id=\"T_457a2_row16_col1085\" class=\"data row16 col1085\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row16_col1086\" class=\"data row16 col1086\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row16_col1087\" class=\"data row16 col1087\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row16_col1088\" class=\"data row16 col1088\" >2.356000</td>\n",
       "      <td id=\"T_457a2_row16_col1089\" class=\"data row16 col1089\" >2.313000</td>\n",
       "      <td id=\"T_457a2_row16_col1090\" class=\"data row16 col1090\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row16_col1091\" class=\"data row16 col1091\" >2.405000</td>\n",
       "      <td id=\"T_457a2_row16_col1092\" class=\"data row16 col1092\" >1.789000</td>\n",
       "      <td id=\"T_457a2_row16_col1093\" class=\"data row16 col1093\" >2.272000</td>\n",
       "      <td id=\"T_457a2_row16_col1094\" class=\"data row16 col1094\" >2.092000</td>\n",
       "      <td id=\"T_457a2_row16_col1095\" class=\"data row16 col1095\" >2.090000</td>\n",
       "      <td id=\"T_457a2_row16_col1096\" class=\"data row16 col1096\" >2.079000</td>\n",
       "      <td id=\"T_457a2_row16_col1097\" class=\"data row16 col1097\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row16_col1098\" class=\"data row16 col1098\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row16_col1099\" class=\"data row16 col1099\" >2.455000</td>\n",
       "      <td id=\"T_457a2_row16_col1100\" class=\"data row16 col1100\" >2.107000</td>\n",
       "      <td id=\"T_457a2_row16_col1101\" class=\"data row16 col1101\" >2.412000</td>\n",
       "      <td id=\"T_457a2_row16_col1102\" class=\"data row16 col1102\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row16_col1103\" class=\"data row16 col1103\" >2.566000</td>\n",
       "      <td id=\"T_457a2_row16_col1104\" class=\"data row16 col1104\" >2.414000</td>\n",
       "      <td id=\"T_457a2_row16_col1105\" class=\"data row16 col1105\" >2.674000</td>\n",
       "      <td id=\"T_457a2_row16_col1106\" class=\"data row16 col1106\" >2.337000</td>\n",
       "      <td id=\"T_457a2_row16_col1107\" class=\"data row16 col1107\" >2.437000</td>\n",
       "      <td id=\"T_457a2_row16_col1108\" class=\"data row16 col1108\" >2.833000</td>\n",
       "      <td id=\"T_457a2_row16_col1109\" class=\"data row16 col1109\" >2.130000</td>\n",
       "      <td id=\"T_457a2_row16_col1110\" class=\"data row16 col1110\" >1.999000</td>\n",
       "      <td id=\"T_457a2_row16_col1111\" class=\"data row16 col1111\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row16_col1112\" class=\"data row16 col1112\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row16_col1113\" class=\"data row16 col1113\" >2.757000</td>\n",
       "      <td id=\"T_457a2_row16_col1114\" class=\"data row16 col1114\" >2.650000</td>\n",
       "      <td id=\"T_457a2_row16_col1115\" class=\"data row16 col1115\" >3.463000</td>\n",
       "      <td id=\"T_457a2_row16_col1116\" class=\"data row16 col1116\" >3.427000</td>\n",
       "      <td id=\"T_457a2_row16_col1117\" class=\"data row16 col1117\" >3.681000</td>\n",
       "      <td id=\"T_457a2_row16_col1118\" class=\"data row16 col1118\" >2.701000</td>\n",
       "      <td id=\"T_457a2_row16_col1119\" class=\"data row16 col1119\" >2.307000</td>\n",
       "      <td id=\"T_457a2_row16_col1120\" class=\"data row16 col1120\" >1.988000</td>\n",
       "      <td id=\"T_457a2_row16_col1121\" class=\"data row16 col1121\" >2.316000</td>\n",
       "      <td id=\"T_457a2_row16_col1122\" class=\"data row16 col1122\" >2.124000</td>\n",
       "      <td id=\"T_457a2_row16_col1123\" class=\"data row16 col1123\" >2.459000</td>\n",
       "      <td id=\"T_457a2_row16_col1124\" class=\"data row16 col1124\" >2.185000</td>\n",
       "      <td id=\"T_457a2_row16_col1125\" class=\"data row16 col1125\" >2.148000</td>\n",
       "      <td id=\"T_457a2_row16_col1126\" class=\"data row16 col1126\" >2.777000</td>\n",
       "      <td id=\"T_457a2_row16_col1127\" class=\"data row16 col1127\" >2.937000</td>\n",
       "      <td id=\"T_457a2_row16_col1128\" class=\"data row16 col1128\" >2.451000</td>\n",
       "      <td id=\"T_457a2_row16_col1129\" class=\"data row16 col1129\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row16_col1130\" class=\"data row16 col1130\" >2.027000</td>\n",
       "      <td id=\"T_457a2_row16_col1131\" class=\"data row16 col1131\" >2.508000</td>\n",
       "      <td id=\"T_457a2_row16_col1132\" class=\"data row16 col1132\" >2.093000</td>\n",
       "      <td id=\"T_457a2_row16_col1133\" class=\"data row16 col1133\" >1.860000</td>\n",
       "      <td id=\"T_457a2_row16_col1134\" class=\"data row16 col1134\" >1.930000</td>\n",
       "      <td id=\"T_457a2_row16_col1135\" class=\"data row16 col1135\" >2.006000</td>\n",
       "      <td id=\"T_457a2_row16_col1136\" class=\"data row16 col1136\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row16_col1137\" class=\"data row16 col1137\" >2.011000</td>\n",
       "      <td id=\"T_457a2_row16_col1138\" class=\"data row16 col1138\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row16_col1139\" class=\"data row16 col1139\" >2.283000</td>\n",
       "      <td id=\"T_457a2_row16_col1140\" class=\"data row16 col1140\" >3.092000</td>\n",
       "      <td id=\"T_457a2_row16_col1141\" class=\"data row16 col1141\" >2.189000</td>\n",
       "      <td id=\"T_457a2_row16_col1142\" class=\"data row16 col1142\" >2.924000</td>\n",
       "      <td id=\"T_457a2_row16_col1143\" class=\"data row16 col1143\" >1.974000</td>\n",
       "      <td id=\"T_457a2_row16_col1144\" class=\"data row16 col1144\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row16_col1145\" class=\"data row16 col1145\" >2.041000</td>\n",
       "      <td id=\"T_457a2_row16_col1146\" class=\"data row16 col1146\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row16_col1147\" class=\"data row16 col1147\" >2.241000</td>\n",
       "      <td id=\"T_457a2_row16_col1148\" class=\"data row16 col1148\" >2.007000</td>\n",
       "      <td id=\"T_457a2_row16_col1149\" class=\"data row16 col1149\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row16_col1150\" class=\"data row16 col1150\" >1.941000</td>\n",
       "      <td id=\"T_457a2_row16_col1151\" class=\"data row16 col1151\" >2.366000</td>\n",
       "      <td id=\"T_457a2_row16_col1152\" class=\"data row16 col1152\" >2.670000</td>\n",
       "      <td id=\"T_457a2_row16_col1153\" class=\"data row16 col1153\" >2.602000</td>\n",
       "      <td id=\"T_457a2_row16_col1154\" class=\"data row16 col1154\" >2.207000</td>\n",
       "      <td id=\"T_457a2_row16_col1155\" class=\"data row16 col1155\" >2.888000</td>\n",
       "      <td id=\"T_457a2_row16_col1156\" class=\"data row16 col1156\" >2.410000</td>\n",
       "      <td id=\"T_457a2_row16_col1157\" class=\"data row16 col1157\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row16_col1158\" class=\"data row16 col1158\" >2.834000</td>\n",
       "      <td id=\"T_457a2_row16_col1159\" class=\"data row16 col1159\" >3.190000</td>\n",
       "      <td id=\"T_457a2_row16_col1160\" class=\"data row16 col1160\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row16_col1161\" class=\"data row16 col1161\" >3.122000</td>\n",
       "      <td id=\"T_457a2_row16_col1162\" class=\"data row16 col1162\" >3.150000</td>\n",
       "      <td id=\"T_457a2_row16_col1163\" class=\"data row16 col1163\" >2.190000</td>\n",
       "      <td id=\"T_457a2_row16_col1164\" class=\"data row16 col1164\" >2.620000</td>\n",
       "      <td id=\"T_457a2_row16_col1165\" class=\"data row16 col1165\" >2.377000</td>\n",
       "      <td id=\"T_457a2_row16_col1166\" class=\"data row16 col1166\" >2.034000</td>\n",
       "      <td id=\"T_457a2_row16_col1167\" class=\"data row16 col1167\" >2.239000</td>\n",
       "      <td id=\"T_457a2_row16_col1168\" class=\"data row16 col1168\" >2.386000</td>\n",
       "      <td id=\"T_457a2_row16_col1169\" class=\"data row16 col1169\" >2.033000</td>\n",
       "      <td id=\"T_457a2_row16_col1170\" class=\"data row16 col1170\" >2.503000</td>\n",
       "      <td id=\"T_457a2_row16_col1171\" class=\"data row16 col1171\" >2.825000</td>\n",
       "      <td id=\"T_457a2_row16_col1172\" class=\"data row16 col1172\" >1.980000</td>\n",
       "      <td id=\"T_457a2_row16_col1173\" class=\"data row16 col1173\" >2.486000</td>\n",
       "      <td id=\"T_457a2_row16_col1174\" class=\"data row16 col1174\" >2.074000</td>\n",
       "      <td id=\"T_457a2_row16_col1175\" class=\"data row16 col1175\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row16_col1176\" class=\"data row16 col1176\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row16_col1177\" class=\"data row16 col1177\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row16_col1178\" class=\"data row16 col1178\" >3.014000</td>\n",
       "      <td id=\"T_457a2_row16_col1179\" class=\"data row16 col1179\" >2.335000</td>\n",
       "      <td id=\"T_457a2_row16_col1180\" class=\"data row16 col1180\" >2.270000</td>\n",
       "      <td id=\"T_457a2_row16_col1181\" class=\"data row16 col1181\" >2.086000</td>\n",
       "      <td id=\"T_457a2_row16_col1182\" class=\"data row16 col1182\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row16_col1183\" class=\"data row16 col1183\" >2.750000</td>\n",
       "      <td id=\"T_457a2_row16_col1184\" class=\"data row16 col1184\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row16_col1185\" class=\"data row16 col1185\" >2.408000</td>\n",
       "      <td id=\"T_457a2_row16_col1186\" class=\"data row16 col1186\" >2.273000</td>\n",
       "      <td id=\"T_457a2_row16_col1187\" class=\"data row16 col1187\" >2.486000</td>\n",
       "      <td id=\"T_457a2_row16_col1188\" class=\"data row16 col1188\" >2.120000</td>\n",
       "      <td id=\"T_457a2_row16_col1189\" class=\"data row16 col1189\" >3.894000</td>\n",
       "      <td id=\"T_457a2_row16_col1190\" class=\"data row16 col1190\" >3.103000</td>\n",
       "      <td id=\"T_457a2_row16_col1191\" class=\"data row16 col1191\" >2.803000</td>\n",
       "      <td id=\"T_457a2_row16_col1192\" class=\"data row16 col1192\" >2.942000</td>\n",
       "      <td id=\"T_457a2_row16_col1193\" class=\"data row16 col1193\" >3.106000</td>\n",
       "      <td id=\"T_457a2_row16_col1194\" class=\"data row16 col1194\" >2.393000</td>\n",
       "      <td id=\"T_457a2_row16_col1195\" class=\"data row16 col1195\" >4.356000</td>\n",
       "      <td id=\"T_457a2_row16_col1196\" class=\"data row16 col1196\" >3.035000</td>\n",
       "      <td id=\"T_457a2_row16_col1197\" class=\"data row16 col1197\" >2.530000</td>\n",
       "      <td id=\"T_457a2_row16_col1198\" class=\"data row16 col1198\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row16_col1199\" class=\"data row16 col1199\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row16_col1200\" class=\"data row16 col1200\" >2.164000</td>\n",
       "      <td id=\"T_457a2_row16_col1201\" class=\"data row16 col1201\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row16_col1202\" class=\"data row16 col1202\" >2.405000</td>\n",
       "      <td id=\"T_457a2_row16_col1203\" class=\"data row16 col1203\" >2.414000</td>\n",
       "      <td id=\"T_457a2_row16_col1204\" class=\"data row16 col1204\" >2.311000</td>\n",
       "      <td id=\"T_457a2_row16_col1205\" class=\"data row16 col1205\" >2.162000</td>\n",
       "      <td id=\"T_457a2_row16_col1206\" class=\"data row16 col1206\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row16_col1207\" class=\"data row16 col1207\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row16_col1208\" class=\"data row16 col1208\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row16_col1209\" class=\"data row16 col1209\" >2.123000</td>\n",
       "      <td id=\"T_457a2_row16_col1210\" class=\"data row16 col1210\" >2.140000</td>\n",
       "      <td id=\"T_457a2_row16_col1211\" class=\"data row16 col1211\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row16_col1212\" class=\"data row16 col1212\" >2.162000</td>\n",
       "      <td id=\"T_457a2_row16_col1213\" class=\"data row16 col1213\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row16_col1214\" class=\"data row16 col1214\" >2.844000</td>\n",
       "      <td id=\"T_457a2_row16_col1215\" class=\"data row16 col1215\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row16_col1216\" class=\"data row16 col1216\" >2.669000</td>\n",
       "      <td id=\"T_457a2_row16_col1217\" class=\"data row16 col1217\" >2.344000</td>\n",
       "      <td id=\"T_457a2_row16_col1218\" class=\"data row16 col1218\" >2.570000</td>\n",
       "      <td id=\"T_457a2_row16_col1219\" class=\"data row16 col1219\" >2.399000</td>\n",
       "      <td id=\"T_457a2_row16_col1220\" class=\"data row16 col1220\" >2.385000</td>\n",
       "      <td id=\"T_457a2_row16_col1221\" class=\"data row16 col1221\" >2.176000</td>\n",
       "      <td id=\"T_457a2_row16_col1222\" class=\"data row16 col1222\" >2.114000</td>\n",
       "      <td id=\"T_457a2_row16_col1223\" class=\"data row16 col1223\" >2.344000</td>\n",
       "      <td id=\"T_457a2_row16_col1224\" class=\"data row16 col1224\" >2.364000</td>\n",
       "      <td id=\"T_457a2_row16_col1225\" class=\"data row16 col1225\" >2.028000</td>\n",
       "      <td id=\"T_457a2_row16_col1226\" class=\"data row16 col1226\" >2.566000</td>\n",
       "      <td id=\"T_457a2_row16_col1227\" class=\"data row16 col1227\" >2.357000</td>\n",
       "      <td id=\"T_457a2_row16_col1228\" class=\"data row16 col1228\" >2.170000</td>\n",
       "      <td id=\"T_457a2_row16_col1229\" class=\"data row16 col1229\" >1.954000</td>\n",
       "      <td id=\"T_457a2_row16_col1230\" class=\"data row16 col1230\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row16_col1231\" class=\"data row16 col1231\" >2.461000</td>\n",
       "      <td id=\"T_457a2_row16_col1232\" class=\"data row16 col1232\" >2.226000</td>\n",
       "      <td id=\"T_457a2_row16_col1233\" class=\"data row16 col1233\" >2.086000</td>\n",
       "      <td id=\"T_457a2_row16_col1234\" class=\"data row16 col1234\" >2.415000</td>\n",
       "      <td id=\"T_457a2_row16_col1235\" class=\"data row16 col1235\" >1.876000</td>\n",
       "      <td id=\"T_457a2_row16_col1236\" class=\"data row16 col1236\" >1.894000</td>\n",
       "      <td id=\"T_457a2_row16_col1237\" class=\"data row16 col1237\" >1.810000</td>\n",
       "      <td id=\"T_457a2_row16_col1238\" class=\"data row16 col1238\" >1.897000</td>\n",
       "      <td id=\"T_457a2_row16_col1239\" class=\"data row16 col1239\" >2.408000</td>\n",
       "      <td id=\"T_457a2_row16_col1240\" class=\"data row16 col1240\" >1.822000</td>\n",
       "      <td id=\"T_457a2_row16_col1241\" class=\"data row16 col1241\" >2.190000</td>\n",
       "      <td id=\"T_457a2_row16_col1242\" class=\"data row16 col1242\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row16_col1243\" class=\"data row16 col1243\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row16_col1244\" class=\"data row16 col1244\" >2.061000</td>\n",
       "      <td id=\"T_457a2_row16_col1245\" class=\"data row16 col1245\" >2.614000</td>\n",
       "      <td id=\"T_457a2_row16_col1246\" class=\"data row16 col1246\" >2.787000</td>\n",
       "      <td id=\"T_457a2_row16_col1247\" class=\"data row16 col1247\" >3.681000</td>\n",
       "      <td id=\"T_457a2_row16_col1248\" class=\"data row16 col1248\" >2.186000</td>\n",
       "      <td id=\"T_457a2_row16_col1249\" class=\"data row16 col1249\" >3.890000</td>\n",
       "      <td id=\"T_457a2_row16_col1250\" class=\"data row16 col1250\" >3.214000</td>\n",
       "      <td id=\"T_457a2_row16_col1251\" class=\"data row16 col1251\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row16_col1252\" class=\"data row16 col1252\" >2.229000</td>\n",
       "      <td id=\"T_457a2_row16_col1253\" class=\"data row16 col1253\" >2.352000</td>\n",
       "      <td id=\"T_457a2_row16_col1254\" class=\"data row16 col1254\" >2.139000</td>\n",
       "      <td id=\"T_457a2_row16_col1255\" class=\"data row16 col1255\" >2.116000</td>\n",
       "      <td id=\"T_457a2_row16_col1256\" class=\"data row16 col1256\" >2.698000</td>\n",
       "      <td id=\"T_457a2_row16_col1257\" class=\"data row16 col1257\" >2.296000</td>\n",
       "      <td id=\"T_457a2_row16_col1258\" class=\"data row16 col1258\" >2.834000</td>\n",
       "      <td id=\"T_457a2_row16_col1259\" class=\"data row16 col1259\" >2.231000</td>\n",
       "      <td id=\"T_457a2_row16_col1260\" class=\"data row16 col1260\" >2.962000</td>\n",
       "      <td id=\"T_457a2_row16_col1261\" class=\"data row16 col1261\" >2.646000</td>\n",
       "      <td id=\"T_457a2_row16_col1262\" class=\"data row16 col1262\" >2.209000</td>\n",
       "      <td id=\"T_457a2_row16_col1263\" class=\"data row16 col1263\" >3.090000</td>\n",
       "      <td id=\"T_457a2_row16_col1264\" class=\"data row16 col1264\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row16_col1265\" class=\"data row16 col1265\" >1.833000</td>\n",
       "      <td id=\"T_457a2_row16_col1266\" class=\"data row16 col1266\" >2.129000</td>\n",
       "      <td id=\"T_457a2_row16_col1267\" class=\"data row16 col1267\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row16_col1268\" class=\"data row16 col1268\" >2.355000</td>\n",
       "      <td id=\"T_457a2_row16_col1269\" class=\"data row16 col1269\" >2.217000</td>\n",
       "      <td id=\"T_457a2_row16_col1270\" class=\"data row16 col1270\" >2.344000</td>\n",
       "      <td id=\"T_457a2_row16_col1271\" class=\"data row16 col1271\" >2.319000</td>\n",
       "      <td id=\"T_457a2_row16_col1272\" class=\"data row16 col1272\" >1.989000</td>\n",
       "      <td id=\"T_457a2_row16_col1273\" class=\"data row16 col1273\" >2.219000</td>\n",
       "      <td id=\"T_457a2_row16_col1274\" class=\"data row16 col1274\" >2.054000</td>\n",
       "      <td id=\"T_457a2_row16_col1275\" class=\"data row16 col1275\" >2.931000</td>\n",
       "      <td id=\"T_457a2_row16_col1276\" class=\"data row16 col1276\" >2.239000</td>\n",
       "      <td id=\"T_457a2_row16_col1277\" class=\"data row16 col1277\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row16_col1278\" class=\"data row16 col1278\" >2.377000</td>\n",
       "      <td id=\"T_457a2_row16_col1279\" class=\"data row16 col1279\" >2.350000</td>\n",
       "      <td id=\"T_457a2_row16_col1280\" class=\"data row16 col1280\" >1.953000</td>\n",
       "      <td id=\"T_457a2_row16_col1281\" class=\"data row16 col1281\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row16_col1282\" class=\"data row16 col1282\" >2.152000</td>\n",
       "      <td id=\"T_457a2_row16_col1283\" class=\"data row16 col1283\" >2.288000</td>\n",
       "      <td id=\"T_457a2_row16_col1284\" class=\"data row16 col1284\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row16_col1285\" class=\"data row16 col1285\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row16_col1286\" class=\"data row16 col1286\" >2.158000</td>\n",
       "      <td id=\"T_457a2_row16_col1287\" class=\"data row16 col1287\" >2.387000</td>\n",
       "      <td id=\"T_457a2_row16_col1288\" class=\"data row16 col1288\" >2.544000</td>\n",
       "      <td id=\"T_457a2_row16_col1289\" class=\"data row16 col1289\" >2.717000</td>\n",
       "      <td id=\"T_457a2_row16_col1290\" class=\"data row16 col1290\" >2.836000</td>\n",
       "      <td id=\"T_457a2_row16_col1291\" class=\"data row16 col1291\" >2.333000</td>\n",
       "      <td id=\"T_457a2_row16_col1292\" class=\"data row16 col1292\" >2.205000</td>\n",
       "      <td id=\"T_457a2_row16_col1293\" class=\"data row16 col1293\" >2.310000</td>\n",
       "      <td id=\"T_457a2_row16_col1294\" class=\"data row16 col1294\" >2.328000</td>\n",
       "      <td id=\"T_457a2_row16_col1295\" class=\"data row16 col1295\" >3.168000</td>\n",
       "      <td id=\"T_457a2_row16_col1296\" class=\"data row16 col1296\" >3.190000</td>\n",
       "      <td id=\"T_457a2_row16_col1297\" class=\"data row16 col1297\" >3.314000</td>\n",
       "      <td id=\"T_457a2_row16_col1298\" class=\"data row16 col1298\" >2.538000</td>\n",
       "      <td id=\"T_457a2_row16_col1299\" class=\"data row16 col1299\" >2.136000</td>\n",
       "      <td id=\"T_457a2_row16_col1300\" class=\"data row16 col1300\" >2.189000</td>\n",
       "      <td id=\"T_457a2_row16_col1301\" class=\"data row16 col1301\" >2.358000</td>\n",
       "      <td id=\"T_457a2_row16_col1302\" class=\"data row16 col1302\" >2.499000</td>\n",
       "      <td id=\"T_457a2_row16_col1303\" class=\"data row16 col1303\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row16_col1304\" class=\"data row16 col1304\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row16_col1305\" class=\"data row16 col1305\" >2.445000</td>\n",
       "      <td id=\"T_457a2_row16_col1306\" class=\"data row16 col1306\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row16_col1307\" class=\"data row16 col1307\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row16_col1308\" class=\"data row16 col1308\" >2.396000</td>\n",
       "      <td id=\"T_457a2_row16_col1309\" class=\"data row16 col1309\" >2.165000</td>\n",
       "      <td id=\"T_457a2_row16_col1310\" class=\"data row16 col1310\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row16_col1311\" class=\"data row16 col1311\" >2.370000</td>\n",
       "      <td id=\"T_457a2_row16_col1312\" class=\"data row16 col1312\" >1.883000</td>\n",
       "      <td id=\"T_457a2_row16_col1313\" class=\"data row16 col1313\" >2.307000</td>\n",
       "      <td id=\"T_457a2_row16_col1314\" class=\"data row16 col1314\" >2.458000</td>\n",
       "      <td id=\"T_457a2_row16_col1315\" class=\"data row16 col1315\" >2.380000</td>\n",
       "      <td id=\"T_457a2_row16_col1316\" class=\"data row16 col1316\" >1.812000</td>\n",
       "      <td id=\"T_457a2_row16_col1317\" class=\"data row16 col1317\" >2.200000</td>\n",
       "      <td id=\"T_457a2_row16_col1318\" class=\"data row16 col1318\" >2.799000</td>\n",
       "      <td id=\"T_457a2_row16_col1319\" class=\"data row16 col1319\" >2.455000</td>\n",
       "      <td id=\"T_457a2_row16_col1320\" class=\"data row16 col1320\" >3.112000</td>\n",
       "      <td id=\"T_457a2_row16_col1321\" class=\"data row16 col1321\" >1.995000</td>\n",
       "      <td id=\"T_457a2_row16_col1322\" class=\"data row16 col1322\" >3.767000</td>\n",
       "      <td id=\"T_457a2_row16_col1323\" class=\"data row16 col1323\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row16_col1324\" class=\"data row16 col1324\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row16_col1325\" class=\"data row16 col1325\" >1.908000</td>\n",
       "      <td id=\"T_457a2_row16_col1326\" class=\"data row16 col1326\" >2.387000</td>\n",
       "      <td id=\"T_457a2_row16_col1327\" class=\"data row16 col1327\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row16_col1328\" class=\"data row16 col1328\" >2.216000</td>\n",
       "      <td id=\"T_457a2_row16_col1329\" class=\"data row16 col1329\" >2.040000</td>\n",
       "      <td id=\"T_457a2_row16_col1330\" class=\"data row16 col1330\" >2.129000</td>\n",
       "      <td id=\"T_457a2_row16_col1331\" class=\"data row16 col1331\" >2.214000</td>\n",
       "      <td id=\"T_457a2_row16_col1332\" class=\"data row16 col1332\" >2.406000</td>\n",
       "      <td id=\"T_457a2_row16_col1333\" class=\"data row16 col1333\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row16_col1334\" class=\"data row16 col1334\" >2.013000</td>\n",
       "      <td id=\"T_457a2_row16_col1335\" class=\"data row16 col1335\" >2.172000</td>\n",
       "      <td id=\"T_457a2_row16_col1336\" class=\"data row16 col1336\" >2.418000</td>\n",
       "      <td id=\"T_457a2_row16_col1337\" class=\"data row16 col1337\" >2.467000</td>\n",
       "      <td id=\"T_457a2_row16_col1338\" class=\"data row16 col1338\" >2.138000</td>\n",
       "      <td id=\"T_457a2_row16_col1339\" class=\"data row16 col1339\" >2.860000</td>\n",
       "      <td id=\"T_457a2_row16_col1340\" class=\"data row16 col1340\" >2.268000</td>\n",
       "      <td id=\"T_457a2_row16_col1341\" class=\"data row16 col1341\" >2.330000</td>\n",
       "      <td id=\"T_457a2_row16_col1342\" class=\"data row16 col1342\" >1.839000</td>\n",
       "      <td id=\"T_457a2_row16_col1343\" class=\"data row16 col1343\" >2.098000</td>\n",
       "      <td id=\"T_457a2_row16_col1344\" class=\"data row16 col1344\" >1.878000</td>\n",
       "      <td id=\"T_457a2_row16_col1345\" class=\"data row16 col1345\" >2.166000</td>\n",
       "      <td id=\"T_457a2_row16_col1346\" class=\"data row16 col1346\" >2.237000</td>\n",
       "      <td id=\"T_457a2_row16_col1347\" class=\"data row16 col1347\" >1.990000</td>\n",
       "      <td id=\"T_457a2_row16_col1348\" class=\"data row16 col1348\" >2.044000</td>\n",
       "      <td id=\"T_457a2_row16_col1349\" class=\"data row16 col1349\" >2.166000</td>\n",
       "      <td id=\"T_457a2_row16_col1350\" class=\"data row16 col1350\" >2.237000</td>\n",
       "      <td id=\"T_457a2_row16_col1351\" class=\"data row16 col1351\" >2.182000</td>\n",
       "      <td id=\"T_457a2_row16_col1352\" class=\"data row16 col1352\" >1.826000</td>\n",
       "      <td id=\"T_457a2_row16_col1353\" class=\"data row16 col1353\" >2.541000</td>\n",
       "      <td id=\"T_457a2_row16_col1354\" class=\"data row16 col1354\" >2.304000</td>\n",
       "      <td id=\"T_457a2_row16_col1355\" class=\"data row16 col1355\" >1.841000</td>\n",
       "      <td id=\"T_457a2_row16_col1356\" class=\"data row16 col1356\" >2.202000</td>\n",
       "      <td id=\"T_457a2_row16_col1357\" class=\"data row16 col1357\" >3.121000</td>\n",
       "      <td id=\"T_457a2_row16_col1358\" class=\"data row16 col1358\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row16_col1359\" class=\"data row16 col1359\" >2.504000</td>\n",
       "      <td id=\"T_457a2_row16_col1360\" class=\"data row16 col1360\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row16_col1361\" class=\"data row16 col1361\" >2.286000</td>\n",
       "      <td id=\"T_457a2_row16_col1362\" class=\"data row16 col1362\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row16_col1363\" class=\"data row16 col1363\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row16_col1364\" class=\"data row16 col1364\" >2.866000</td>\n",
       "      <td id=\"T_457a2_row16_col1365\" class=\"data row16 col1365\" >2.645000</td>\n",
       "      <td id=\"T_457a2_row16_col1366\" class=\"data row16 col1366\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row16_col1367\" class=\"data row16 col1367\" >2.210000</td>\n",
       "      <td id=\"T_457a2_row16_col1368\" class=\"data row16 col1368\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row16_col1369\" class=\"data row16 col1369\" >4.526000</td>\n",
       "      <td id=\"T_457a2_row16_col1370\" class=\"data row16 col1370\" >2.361000</td>\n",
       "      <td id=\"T_457a2_row16_col1371\" class=\"data row16 col1371\" >2.273000</td>\n",
       "      <td id=\"T_457a2_row16_col1372\" class=\"data row16 col1372\" >3.344000</td>\n",
       "      <td id=\"T_457a2_row16_col1373\" class=\"data row16 col1373\" >2.687000</td>\n",
       "      <td id=\"T_457a2_row16_col1374\" class=\"data row16 col1374\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row16_col1375\" class=\"data row16 col1375\" >3.842000</td>\n",
       "      <td id=\"T_457a2_row16_col1376\" class=\"data row16 col1376\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row16_col1377\" class=\"data row16 col1377\" >2.360000</td>\n",
       "      <td id=\"T_457a2_row16_col1378\" class=\"data row16 col1378\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row16_col1379\" class=\"data row16 col1379\" >2.577000</td>\n",
       "      <td id=\"T_457a2_row16_col1380\" class=\"data row16 col1380\" >2.087000</td>\n",
       "      <td id=\"T_457a2_row16_col1381\" class=\"data row16 col1381\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row16_col1382\" class=\"data row16 col1382\" >2.083000</td>\n",
       "      <td id=\"T_457a2_row16_col1383\" class=\"data row16 col1383\" >2.189000</td>\n",
       "      <td id=\"T_457a2_row16_col1384\" class=\"data row16 col1384\" >2.093000</td>\n",
       "      <td id=\"T_457a2_row16_col1385\" class=\"data row16 col1385\" >1.851000</td>\n",
       "      <td id=\"T_457a2_row16_col1386\" class=\"data row16 col1386\" >1.857000</td>\n",
       "      <td id=\"T_457a2_row16_col1387\" class=\"data row16 col1387\" >2.421000</td>\n",
       "      <td id=\"T_457a2_row16_col1388\" class=\"data row16 col1388\" >2.383000</td>\n",
       "      <td id=\"T_457a2_row16_col1389\" class=\"data row16 col1389\" >2.548000</td>\n",
       "      <td id=\"T_457a2_row16_col1390\" class=\"data row16 col1390\" >2.235000</td>\n",
       "      <td id=\"T_457a2_row16_col1391\" class=\"data row16 col1391\" >1.790000</td>\n",
       "      <td id=\"T_457a2_row16_col1392\" class=\"data row16 col1392\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row16_col1393\" class=\"data row16 col1393\" >2.326000</td>\n",
       "      <td id=\"T_457a2_row16_col1394\" class=\"data row16 col1394\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row16_col1395\" class=\"data row16 col1395\" >2.084000</td>\n",
       "      <td id=\"T_457a2_row16_col1396\" class=\"data row16 col1396\" >2.733000</td>\n",
       "      <td id=\"T_457a2_row16_col1397\" class=\"data row16 col1397\" >2.476000</td>\n",
       "      <td id=\"T_457a2_row16_col1398\" class=\"data row16 col1398\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row16_col1399\" class=\"data row16 col1399\" >2.138000</td>\n",
       "      <td id=\"T_457a2_row16_col1400\" class=\"data row16 col1400\" >2.422000</td>\n",
       "      <td id=\"T_457a2_row16_col1401\" class=\"data row16 col1401\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row16_col1402\" class=\"data row16 col1402\" >2.199000</td>\n",
       "      <td id=\"T_457a2_row16_col1403\" class=\"data row16 col1403\" >2.594000</td>\n",
       "      <td id=\"T_457a2_row16_col1404\" class=\"data row16 col1404\" >2.444000</td>\n",
       "      <td id=\"T_457a2_row16_col1405\" class=\"data row16 col1405\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row16_col1406\" class=\"data row16 col1406\" >2.963000</td>\n",
       "      <td id=\"T_457a2_row16_col1407\" class=\"data row16 col1407\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row16_col1408\" class=\"data row16 col1408\" >2.358000</td>\n",
       "      <td id=\"T_457a2_row16_col1409\" class=\"data row16 col1409\" >2.519000</td>\n",
       "      <td id=\"T_457a2_row16_col1410\" class=\"data row16 col1410\" >2.489000</td>\n",
       "      <td id=\"T_457a2_row16_col1411\" class=\"data row16 col1411\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row16_col1412\" class=\"data row16 col1412\" >2.131000</td>\n",
       "      <td id=\"T_457a2_row16_col1413\" class=\"data row16 col1413\" >2.309000</td>\n",
       "      <td id=\"T_457a2_row16_col1414\" class=\"data row16 col1414\" >2.192000</td>\n",
       "      <td id=\"T_457a2_row16_col1415\" class=\"data row16 col1415\" >2.361000</td>\n",
       "      <td id=\"T_457a2_row16_col1416\" class=\"data row16 col1416\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row16_col1417\" class=\"data row16 col1417\" >2.442000</td>\n",
       "      <td id=\"T_457a2_row16_col1418\" class=\"data row16 col1418\" >1.945000</td>\n",
       "      <td id=\"T_457a2_row16_col1419\" class=\"data row16 col1419\" >2.530000</td>\n",
       "      <td id=\"T_457a2_row16_col1420\" class=\"data row16 col1420\" >2.434000</td>\n",
       "      <td id=\"T_457a2_row16_col1421\" class=\"data row16 col1421\" >2.091000</td>\n",
       "      <td id=\"T_457a2_row16_col1422\" class=\"data row16 col1422\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row16_col1423\" class=\"data row16 col1423\" >2.142000</td>\n",
       "      <td id=\"T_457a2_row16_col1424\" class=\"data row16 col1424\" >2.815000</td>\n",
       "      <td id=\"T_457a2_row16_col1425\" class=\"data row16 col1425\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row16_col1426\" class=\"data row16 col1426\" >2.832000</td>\n",
       "      <td id=\"T_457a2_row16_col1427\" class=\"data row16 col1427\" >2.824000</td>\n",
       "      <td id=\"T_457a2_row16_col1428\" class=\"data row16 col1428\" >2.230000</td>\n",
       "      <td id=\"T_457a2_row16_col1429\" class=\"data row16 col1429\" >3.343000</td>\n",
       "      <td id=\"T_457a2_row16_col1430\" class=\"data row16 col1430\" >3.710000</td>\n",
       "      <td id=\"T_457a2_row16_col1431\" class=\"data row16 col1431\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row16_col1432\" class=\"data row16 col1432\" >1.822000</td>\n",
       "      <td id=\"T_457a2_row16_col1433\" class=\"data row16 col1433\" >2.024000</td>\n",
       "      <td id=\"T_457a2_row16_col1434\" class=\"data row16 col1434\" >1.946000</td>\n",
       "      <td id=\"T_457a2_row16_col1435\" class=\"data row16 col1435\" >2.271000</td>\n",
       "      <td id=\"T_457a2_row16_col1436\" class=\"data row16 col1436\" >2.712000</td>\n",
       "      <td id=\"T_457a2_row16_col1437\" class=\"data row16 col1437\" >3.173000</td>\n",
       "      <td id=\"T_457a2_row16_col1438\" class=\"data row16 col1438\" >2.442000</td>\n",
       "      <td id=\"T_457a2_row16_col1439\" class=\"data row16 col1439\" >2.432000</td>\n",
       "      <td id=\"T_457a2_row16_col1440\" class=\"data row16 col1440\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row16_col1441\" class=\"data row16 col1441\" >2.750000</td>\n",
       "      <td id=\"T_457a2_row16_col1442\" class=\"data row16 col1442\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row16_col1443\" class=\"data row16 col1443\" >2.675000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_457a2_level0_row17\" class=\"row_heading level0 row17\" >131</th>\n",
       "      <td id=\"T_457a2_row17_col0\" class=\"data row17 col0\" >ABIDEII-SDSU_1</td>\n",
       "      <td id=\"T_457a2_row17_col1\" class=\"data row17 col1\" >28853</td>\n",
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       "      <td id=\"T_457a2_row17_col3\" class=\"data row17 col3\" >ASD</td>\n",
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       "      <td id=\"T_457a2_row17_col1044\" class=\"data row17 col1044\" >362.770000</td>\n",
       "      <td id=\"T_457a2_row17_col1045\" class=\"data row17 col1045\" >579.260000</td>\n",
       "      <td id=\"T_457a2_row17_col1046\" class=\"data row17 col1046\" >735.640000</td>\n",
       "      <td id=\"T_457a2_row17_col1047\" class=\"data row17 col1047\" >328.250000</td>\n",
       "      <td id=\"T_457a2_row17_col1048\" class=\"data row17 col1048\" >610.060000</td>\n",
       "      <td id=\"T_457a2_row17_col1049\" class=\"data row17 col1049\" >392.930000</td>\n",
       "      <td id=\"T_457a2_row17_col1050\" class=\"data row17 col1050\" >335.470000</td>\n",
       "      <td id=\"T_457a2_row17_col1051\" class=\"data row17 col1051\" >894.000000</td>\n",
       "      <td id=\"T_457a2_row17_col1052\" class=\"data row17 col1052\" >1225.900000</td>\n",
       "      <td id=\"T_457a2_row17_col1053\" class=\"data row17 col1053\" >802.880000</td>\n",
       "      <td id=\"T_457a2_row17_col1054\" class=\"data row17 col1054\" >844.720000</td>\n",
       "      <td id=\"T_457a2_row17_col1055\" class=\"data row17 col1055\" >183.380000</td>\n",
       "      <td id=\"T_457a2_row17_col1056\" class=\"data row17 col1056\" >409.250000</td>\n",
       "      <td id=\"T_457a2_row17_col1057\" class=\"data row17 col1057\" >325.770000</td>\n",
       "      <td id=\"T_457a2_row17_col1058\" class=\"data row17 col1058\" >279.810000</td>\n",
       "      <td id=\"T_457a2_row17_col1059\" class=\"data row17 col1059\" >158.230000</td>\n",
       "      <td id=\"T_457a2_row17_col1060\" class=\"data row17 col1060\" >341.670000</td>\n",
       "      <td id=\"T_457a2_row17_col1061\" class=\"data row17 col1061\" >296.290000</td>\n",
       "      <td id=\"T_457a2_row17_col1062\" class=\"data row17 col1062\" >308.780000</td>\n",
       "      <td id=\"T_457a2_row17_col1063\" class=\"data row17 col1063\" >350.980000</td>\n",
       "      <td id=\"T_457a2_row17_col1064\" class=\"data row17 col1064\" >174.180000</td>\n",
       "      <td id=\"T_457a2_row17_col1065\" class=\"data row17 col1065\" >164.990000</td>\n",
       "      <td id=\"T_457a2_row17_col1066\" class=\"data row17 col1066\" >468.660000</td>\n",
       "      <td id=\"T_457a2_row17_col1067\" class=\"data row17 col1067\" >182.980000</td>\n",
       "      <td id=\"T_457a2_row17_col1068\" class=\"data row17 col1068\" >275.980000</td>\n",
       "      <td id=\"T_457a2_row17_col1069\" class=\"data row17 col1069\" >393.230000</td>\n",
       "      <td id=\"T_457a2_row17_col1070\" class=\"data row17 col1070\" >300.570000</td>\n",
       "      <td id=\"T_457a2_row17_col1071\" class=\"data row17 col1071\" >186.380000</td>\n",
       "      <td id=\"T_457a2_row17_col1072\" class=\"data row17 col1072\" >398.250000</td>\n",
       "      <td id=\"T_457a2_row17_col1073\" class=\"data row17 col1073\" >720.370000</td>\n",
       "      <td id=\"T_457a2_row17_col1074\" class=\"data row17 col1074\" >396.710000</td>\n",
       "      <td id=\"T_457a2_row17_col1075\" class=\"data row17 col1075\" >549.510000</td>\n",
       "      <td id=\"T_457a2_row17_col1076\" class=\"data row17 col1076\" >179.740000</td>\n",
       "      <td id=\"T_457a2_row17_col1077\" class=\"data row17 col1077\" >271.430000</td>\n",
       "      <td id=\"T_457a2_row17_col1078\" class=\"data row17 col1078\" >410.320000</td>\n",
       "      <td id=\"T_457a2_row17_col1079\" class=\"data row17 col1079\" >517.410000</td>\n",
       "      <td id=\"T_457a2_row17_col1080\" class=\"data row17 col1080\" >574.620000</td>\n",
       "      <td id=\"T_457a2_row17_col1081\" class=\"data row17 col1081\" >266.870000</td>\n",
       "      <td id=\"T_457a2_row17_col1082\" class=\"data row17 col1082\" >341.630000</td>\n",
       "      <td id=\"T_457a2_row17_col1083\" class=\"data row17 col1083\" >269.400000</td>\n",
       "      <td id=\"T_457a2_row17_col1084\" class=\"data row17 col1084\" >1.532000</td>\n",
       "      <td id=\"T_457a2_row17_col1085\" class=\"data row17 col1085\" >2.811000</td>\n",
       "      <td id=\"T_457a2_row17_col1086\" class=\"data row17 col1086\" >2.077000</td>\n",
       "      <td id=\"T_457a2_row17_col1087\" class=\"data row17 col1087\" >1.945000</td>\n",
       "      <td id=\"T_457a2_row17_col1088\" class=\"data row17 col1088\" >2.127000</td>\n",
       "      <td id=\"T_457a2_row17_col1089\" class=\"data row17 col1089\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row17_col1090\" class=\"data row17 col1090\" >2.488000</td>\n",
       "      <td id=\"T_457a2_row17_col1091\" class=\"data row17 col1091\" >2.723000</td>\n",
       "      <td id=\"T_457a2_row17_col1092\" class=\"data row17 col1092\" >1.569000</td>\n",
       "      <td id=\"T_457a2_row17_col1093\" class=\"data row17 col1093\" >2.911000</td>\n",
       "      <td id=\"T_457a2_row17_col1094\" class=\"data row17 col1094\" >2.541000</td>\n",
       "      <td id=\"T_457a2_row17_col1095\" class=\"data row17 col1095\" >3.210000</td>\n",
       "      <td id=\"T_457a2_row17_col1096\" class=\"data row17 col1096\" >2.328000</td>\n",
       "      <td id=\"T_457a2_row17_col1097\" class=\"data row17 col1097\" >2.364000</td>\n",
       "      <td id=\"T_457a2_row17_col1098\" class=\"data row17 col1098\" >2.417000</td>\n",
       "      <td id=\"T_457a2_row17_col1099\" class=\"data row17 col1099\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row17_col1100\" class=\"data row17 col1100\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row17_col1101\" class=\"data row17 col1101\" >2.736000</td>\n",
       "      <td id=\"T_457a2_row17_col1102\" class=\"data row17 col1102\" >2.141000</td>\n",
       "      <td id=\"T_457a2_row17_col1103\" class=\"data row17 col1103\" >2.276000</td>\n",
       "      <td id=\"T_457a2_row17_col1104\" class=\"data row17 col1104\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row17_col1105\" class=\"data row17 col1105\" >2.663000</td>\n",
       "      <td id=\"T_457a2_row17_col1106\" class=\"data row17 col1106\" >2.728000</td>\n",
       "      <td id=\"T_457a2_row17_col1107\" class=\"data row17 col1107\" >2.663000</td>\n",
       "      <td id=\"T_457a2_row17_col1108\" class=\"data row17 col1108\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row17_col1109\" class=\"data row17 col1109\" >3.253000</td>\n",
       "      <td id=\"T_457a2_row17_col1110\" class=\"data row17 col1110\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row17_col1111\" class=\"data row17 col1111\" >3.154000</td>\n",
       "      <td id=\"T_457a2_row17_col1112\" class=\"data row17 col1112\" >2.457000</td>\n",
       "      <td id=\"T_457a2_row17_col1113\" class=\"data row17 col1113\" >2.987000</td>\n",
       "      <td id=\"T_457a2_row17_col1114\" class=\"data row17 col1114\" >3.137000</td>\n",
       "      <td id=\"T_457a2_row17_col1115\" class=\"data row17 col1115\" >3.319000</td>\n",
       "      <td id=\"T_457a2_row17_col1116\" class=\"data row17 col1116\" >3.294000</td>\n",
       "      <td id=\"T_457a2_row17_col1117\" class=\"data row17 col1117\" >3.821000</td>\n",
       "      <td id=\"T_457a2_row17_col1118\" class=\"data row17 col1118\" >2.831000</td>\n",
       "      <td id=\"T_457a2_row17_col1119\" class=\"data row17 col1119\" >2.283000</td>\n",
       "      <td id=\"T_457a2_row17_col1120\" class=\"data row17 col1120\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row17_col1121\" class=\"data row17 col1121\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row17_col1122\" class=\"data row17 col1122\" >2.332000</td>\n",
       "      <td id=\"T_457a2_row17_col1123\" class=\"data row17 col1123\" >2.703000</td>\n",
       "      <td id=\"T_457a2_row17_col1124\" class=\"data row17 col1124\" >3.256000</td>\n",
       "      <td id=\"T_457a2_row17_col1125\" class=\"data row17 col1125\" >2.400000</td>\n",
       "      <td id=\"T_457a2_row17_col1126\" class=\"data row17 col1126\" >3.238000</td>\n",
       "      <td id=\"T_457a2_row17_col1127\" class=\"data row17 col1127\" >3.093000</td>\n",
       "      <td id=\"T_457a2_row17_col1128\" class=\"data row17 col1128\" >2.614000</td>\n",
       "      <td id=\"T_457a2_row17_col1129\" class=\"data row17 col1129\" >2.730000</td>\n",
       "      <td id=\"T_457a2_row17_col1130\" class=\"data row17 col1130\" >2.355000</td>\n",
       "      <td id=\"T_457a2_row17_col1131\" class=\"data row17 col1131\" >2.374000</td>\n",
       "      <td id=\"T_457a2_row17_col1132\" class=\"data row17 col1132\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row17_col1133\" class=\"data row17 col1133\" >2.459000</td>\n",
       "      <td id=\"T_457a2_row17_col1134\" class=\"data row17 col1134\" >2.535000</td>\n",
       "      <td id=\"T_457a2_row17_col1135\" class=\"data row17 col1135\" >2.391000</td>\n",
       "      <td id=\"T_457a2_row17_col1136\" class=\"data row17 col1136\" >2.083000</td>\n",
       "      <td id=\"T_457a2_row17_col1137\" class=\"data row17 col1137\" >2.921000</td>\n",
       "      <td id=\"T_457a2_row17_col1138\" class=\"data row17 col1138\" >2.703000</td>\n",
       "      <td id=\"T_457a2_row17_col1139\" class=\"data row17 col1139\" >3.381000</td>\n",
       "      <td id=\"T_457a2_row17_col1140\" class=\"data row17 col1140\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row17_col1141\" class=\"data row17 col1141\" >2.255000</td>\n",
       "      <td id=\"T_457a2_row17_col1142\" class=\"data row17 col1142\" >3.203000</td>\n",
       "      <td id=\"T_457a2_row17_col1143\" class=\"data row17 col1143\" >3.026000</td>\n",
       "      <td id=\"T_457a2_row17_col1144\" class=\"data row17 col1144\" >3.335000</td>\n",
       "      <td id=\"T_457a2_row17_col1145\" class=\"data row17 col1145\" >3.385000</td>\n",
       "      <td id=\"T_457a2_row17_col1146\" class=\"data row17 col1146\" >3.457000</td>\n",
       "      <td id=\"T_457a2_row17_col1147\" class=\"data row17 col1147\" >2.867000</td>\n",
       "      <td id=\"T_457a2_row17_col1148\" class=\"data row17 col1148\" >3.155000</td>\n",
       "      <td id=\"T_457a2_row17_col1149\" class=\"data row17 col1149\" >2.519000</td>\n",
       "      <td id=\"T_457a2_row17_col1150\" class=\"data row17 col1150\" >3.188000</td>\n",
       "      <td id=\"T_457a2_row17_col1151\" class=\"data row17 col1151\" >2.444000</td>\n",
       "      <td id=\"T_457a2_row17_col1152\" class=\"data row17 col1152\" >3.294000</td>\n",
       "      <td id=\"T_457a2_row17_col1153\" class=\"data row17 col1153\" >3.479000</td>\n",
       "      <td id=\"T_457a2_row17_col1154\" class=\"data row17 col1154\" >2.935000</td>\n",
       "      <td id=\"T_457a2_row17_col1155\" class=\"data row17 col1155\" >3.129000</td>\n",
       "      <td id=\"T_457a2_row17_col1156\" class=\"data row17 col1156\" >2.766000</td>\n",
       "      <td id=\"T_457a2_row17_col1157\" class=\"data row17 col1157\" >3.064000</td>\n",
       "      <td id=\"T_457a2_row17_col1158\" class=\"data row17 col1158\" >3.207000</td>\n",
       "      <td id=\"T_457a2_row17_col1159\" class=\"data row17 col1159\" >2.895000</td>\n",
       "      <td id=\"T_457a2_row17_col1160\" class=\"data row17 col1160\" >3.216000</td>\n",
       "      <td id=\"T_457a2_row17_col1161\" class=\"data row17 col1161\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row17_col1162\" class=\"data row17 col1162\" >2.590000</td>\n",
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       "      <td id=\"T_457a2_row17_col1165\" class=\"data row17 col1165\" >2.562000</td>\n",
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       "      <td id=\"T_457a2_row17_col1167\" class=\"data row17 col1167\" >3.007000</td>\n",
       "      <td id=\"T_457a2_row17_col1168\" class=\"data row17 col1168\" >2.635000</td>\n",
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       "      <td id=\"T_457a2_row17_col1172\" class=\"data row17 col1172\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row17_col1173\" class=\"data row17 col1173\" >2.698000</td>\n",
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       "      <td id=\"T_457a2_row17_col1181\" class=\"data row17 col1181\" >2.806000</td>\n",
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       "      <td id=\"T_457a2_row17_col1198\" class=\"data row17 col1198\" >2.864000</td>\n",
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       "      <td id=\"T_457a2_row17_col1218\" class=\"data row17 col1218\" >2.825000</td>\n",
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       "      <td id=\"T_457a2_row17_col1220\" class=\"data row17 col1220\" >3.208000</td>\n",
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       "      <td id=\"T_457a2_row17_col1222\" class=\"data row17 col1222\" >2.721000</td>\n",
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       "      <td id=\"T_457a2_row17_col1224\" class=\"data row17 col1224\" >2.462000</td>\n",
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       "      <td id=\"T_457a2_row17_col1227\" class=\"data row17 col1227\" >2.313000</td>\n",
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       "      <td id=\"T_457a2_row17_col1234\" class=\"data row17 col1234\" >2.491000</td>\n",
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       "      <td id=\"T_457a2_row17_col1239\" class=\"data row17 col1239\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row17_col1240\" class=\"data row17 col1240\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row17_col1241\" class=\"data row17 col1241\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row17_col1242\" class=\"data row17 col1242\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row17_col1243\" class=\"data row17 col1243\" >2.278000</td>\n",
       "      <td id=\"T_457a2_row17_col1244\" class=\"data row17 col1244\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row17_col1245\" class=\"data row17 col1245\" >3.203000</td>\n",
       "      <td id=\"T_457a2_row17_col1246\" class=\"data row17 col1246\" >2.813000</td>\n",
       "      <td id=\"T_457a2_row17_col1247\" class=\"data row17 col1247\" >3.702000</td>\n",
       "      <td id=\"T_457a2_row17_col1248\" class=\"data row17 col1248\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row17_col1249\" class=\"data row17 col1249\" >2.896000</td>\n",
       "      <td id=\"T_457a2_row17_col1250\" class=\"data row17 col1250\" >3.454000</td>\n",
       "      <td id=\"T_457a2_row17_col1251\" class=\"data row17 col1251\" >2.995000</td>\n",
       "      <td id=\"T_457a2_row17_col1252\" class=\"data row17 col1252\" >2.401000</td>\n",
       "      <td id=\"T_457a2_row17_col1253\" class=\"data row17 col1253\" >2.928000</td>\n",
       "      <td id=\"T_457a2_row17_col1254\" class=\"data row17 col1254\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row17_col1255\" class=\"data row17 col1255\" >3.062000</td>\n",
       "      <td id=\"T_457a2_row17_col1256\" class=\"data row17 col1256\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row17_col1257\" class=\"data row17 col1257\" >2.708000</td>\n",
       "      <td id=\"T_457a2_row17_col1258\" class=\"data row17 col1258\" >3.337000</td>\n",
       "      <td id=\"T_457a2_row17_col1259\" class=\"data row17 col1259\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row17_col1260\" class=\"data row17 col1260\" >2.788000</td>\n",
       "      <td id=\"T_457a2_row17_col1261\" class=\"data row17 col1261\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row17_col1262\" class=\"data row17 col1262\" >3.047000</td>\n",
       "      <td id=\"T_457a2_row17_col1263\" class=\"data row17 col1263\" >3.561000</td>\n",
       "      <td id=\"T_457a2_row17_col1264\" class=\"data row17 col1264\" >1.554000</td>\n",
       "      <td id=\"T_457a2_row17_col1265\" class=\"data row17 col1265\" >2.436000</td>\n",
       "      <td id=\"T_457a2_row17_col1266\" class=\"data row17 col1266\" >2.148000</td>\n",
       "      <td id=\"T_457a2_row17_col1267\" class=\"data row17 col1267\" >2.028000</td>\n",
       "      <td id=\"T_457a2_row17_col1268\" class=\"data row17 col1268\" >2.201000</td>\n",
       "      <td id=\"T_457a2_row17_col1269\" class=\"data row17 col1269\" >2.344000</td>\n",
       "      <td id=\"T_457a2_row17_col1270\" class=\"data row17 col1270\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row17_col1271\" class=\"data row17 col1271\" >2.480000</td>\n",
       "      <td id=\"T_457a2_row17_col1272\" class=\"data row17 col1272\" >1.584000</td>\n",
       "      <td id=\"T_457a2_row17_col1273\" class=\"data row17 col1273\" >2.343000</td>\n",
       "      <td id=\"T_457a2_row17_col1274\" class=\"data row17 col1274\" >2.013000</td>\n",
       "      <td id=\"T_457a2_row17_col1275\" class=\"data row17 col1275\" >2.528000</td>\n",
       "      <td id=\"T_457a2_row17_col1276\" class=\"data row17 col1276\" >1.835000</td>\n",
       "      <td id=\"T_457a2_row17_col1277\" class=\"data row17 col1277\" >2.726000</td>\n",
       "      <td id=\"T_457a2_row17_col1278\" class=\"data row17 col1278\" >2.301000</td>\n",
       "      <td id=\"T_457a2_row17_col1279\" class=\"data row17 col1279\" >2.314000</td>\n",
       "      <td id=\"T_457a2_row17_col1280\" class=\"data row17 col1280\" >2.359000</td>\n",
       "      <td id=\"T_457a2_row17_col1281\" class=\"data row17 col1281\" >2.897000</td>\n",
       "      <td id=\"T_457a2_row17_col1282\" class=\"data row17 col1282\" >2.224000</td>\n",
       "      <td id=\"T_457a2_row17_col1283\" class=\"data row17 col1283\" >2.468000</td>\n",
       "      <td id=\"T_457a2_row17_col1284\" class=\"data row17 col1284\" >2.604000</td>\n",
       "      <td id=\"T_457a2_row17_col1285\" class=\"data row17 col1285\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row17_col1286\" class=\"data row17 col1286\" >2.323000</td>\n",
       "      <td id=\"T_457a2_row17_col1287\" class=\"data row17 col1287\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row17_col1288\" class=\"data row17 col1288\" >3.122000</td>\n",
       "      <td id=\"T_457a2_row17_col1289\" class=\"data row17 col1289\" >3.335000</td>\n",
       "      <td id=\"T_457a2_row17_col1290\" class=\"data row17 col1290\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row17_col1291\" class=\"data row17 col1291\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row17_col1292\" class=\"data row17 col1292\" >2.798000</td>\n",
       "      <td id=\"T_457a2_row17_col1293\" class=\"data row17 col1293\" >2.739000</td>\n",
       "      <td id=\"T_457a2_row17_col1294\" class=\"data row17 col1294\" >3.362000</td>\n",
       "      <td id=\"T_457a2_row17_col1295\" class=\"data row17 col1295\" >3.526000</td>\n",
       "      <td id=\"T_457a2_row17_col1296\" class=\"data row17 col1296\" >3.426000</td>\n",
       "      <td id=\"T_457a2_row17_col1297\" class=\"data row17 col1297\" >3.640000</td>\n",
       "      <td id=\"T_457a2_row17_col1298\" class=\"data row17 col1298\" >3.294000</td>\n",
       "      <td id=\"T_457a2_row17_col1299\" class=\"data row17 col1299\" >2.390000</td>\n",
       "      <td id=\"T_457a2_row17_col1300\" class=\"data row17 col1300\" >2.361000</td>\n",
       "      <td id=\"T_457a2_row17_col1301\" class=\"data row17 col1301\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row17_col1302\" class=\"data row17 col1302\" >2.262000</td>\n",
       "      <td id=\"T_457a2_row17_col1303\" class=\"data row17 col1303\" >2.650000</td>\n",
       "      <td id=\"T_457a2_row17_col1304\" class=\"data row17 col1304\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row17_col1305\" class=\"data row17 col1305\" >2.284000</td>\n",
       "      <td id=\"T_457a2_row17_col1306\" class=\"data row17 col1306\" >2.500000</td>\n",
       "      <td id=\"T_457a2_row17_col1307\" class=\"data row17 col1307\" >3.105000</td>\n",
       "      <td id=\"T_457a2_row17_col1308\" class=\"data row17 col1308\" >2.212000</td>\n",
       "      <td id=\"T_457a2_row17_col1309\" class=\"data row17 col1309\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row17_col1310\" class=\"data row17 col1310\" >2.417000</td>\n",
       "      <td id=\"T_457a2_row17_col1311\" class=\"data row17 col1311\" >1.908000</td>\n",
       "      <td id=\"T_457a2_row17_col1312\" class=\"data row17 col1312\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row17_col1313\" class=\"data row17 col1313\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row17_col1314\" class=\"data row17 col1314\" >2.552000</td>\n",
       "      <td id=\"T_457a2_row17_col1315\" class=\"data row17 col1315\" >2.236000</td>\n",
       "      <td id=\"T_457a2_row17_col1316\" class=\"data row17 col1316\" >1.857000</td>\n",
       "      <td id=\"T_457a2_row17_col1317\" class=\"data row17 col1317\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row17_col1318\" class=\"data row17 col1318\" >2.704000</td>\n",
       "      <td id=\"T_457a2_row17_col1319\" class=\"data row17 col1319\" >3.262000</td>\n",
       "      <td id=\"T_457a2_row17_col1320\" class=\"data row17 col1320\" >3.344000</td>\n",
       "      <td id=\"T_457a2_row17_col1321\" class=\"data row17 col1321\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row17_col1322\" class=\"data row17 col1322\" >2.995000</td>\n",
       "      <td id=\"T_457a2_row17_col1323\" class=\"data row17 col1323\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row17_col1324\" class=\"data row17 col1324\" >3.384000</td>\n",
       "      <td id=\"T_457a2_row17_col1325\" class=\"data row17 col1325\" >3.015000</td>\n",
       "      <td id=\"T_457a2_row17_col1326\" class=\"data row17 col1326\" >3.295000</td>\n",
       "      <td id=\"T_457a2_row17_col1327\" class=\"data row17 col1327\" >2.581000</td>\n",
       "      <td id=\"T_457a2_row17_col1328\" class=\"data row17 col1328\" >2.237000</td>\n",
       "      <td id=\"T_457a2_row17_col1329\" class=\"data row17 col1329\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row17_col1330\" class=\"data row17 col1330\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row17_col1331\" class=\"data row17 col1331\" >2.507000</td>\n",
       "      <td id=\"T_457a2_row17_col1332\" class=\"data row17 col1332\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row17_col1333\" class=\"data row17 col1333\" >3.491000</td>\n",
       "      <td id=\"T_457a2_row17_col1334\" class=\"data row17 col1334\" >2.561000</td>\n",
       "      <td id=\"T_457a2_row17_col1335\" class=\"data row17 col1335\" >2.867000</td>\n",
       "      <td id=\"T_457a2_row17_col1336\" class=\"data row17 col1336\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row17_col1337\" class=\"data row17 col1337\" >3.128000</td>\n",
       "      <td id=\"T_457a2_row17_col1338\" class=\"data row17 col1338\" >3.006000</td>\n",
       "      <td id=\"T_457a2_row17_col1339\" class=\"data row17 col1339\" >2.627000</td>\n",
       "      <td id=\"T_457a2_row17_col1340\" class=\"data row17 col1340\" >2.830000</td>\n",
       "      <td id=\"T_457a2_row17_col1341\" class=\"data row17 col1341\" >2.566000</td>\n",
       "      <td id=\"T_457a2_row17_col1342\" class=\"data row17 col1342\" >2.146000</td>\n",
       "      <td id=\"T_457a2_row17_col1343\" class=\"data row17 col1343\" >2.502000</td>\n",
       "      <td id=\"T_457a2_row17_col1344\" class=\"data row17 col1344\" >2.402000</td>\n",
       "      <td id=\"T_457a2_row17_col1345\" class=\"data row17 col1345\" >2.242000</td>\n",
       "      <td id=\"T_457a2_row17_col1346\" class=\"data row17 col1346\" >2.833000</td>\n",
       "      <td id=\"T_457a2_row17_col1347\" class=\"data row17 col1347\" >2.737000</td>\n",
       "      <td id=\"T_457a2_row17_col1348\" class=\"data row17 col1348\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row17_col1349\" class=\"data row17 col1349\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row17_col1350\" class=\"data row17 col1350\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row17_col1351\" class=\"data row17 col1351\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row17_col1352\" class=\"data row17 col1352\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row17_col1353\" class=\"data row17 col1353\" >2.911000</td>\n",
       "      <td id=\"T_457a2_row17_col1354\" class=\"data row17 col1354\" >2.990000</td>\n",
       "      <td id=\"T_457a2_row17_col1355\" class=\"data row17 col1355\" >3.101000</td>\n",
       "      <td id=\"T_457a2_row17_col1356\" class=\"data row17 col1356\" >2.186000</td>\n",
       "      <td id=\"T_457a2_row17_col1357\" class=\"data row17 col1357\" >3.211000</td>\n",
       "      <td id=\"T_457a2_row17_col1358\" class=\"data row17 col1358\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row17_col1359\" class=\"data row17 col1359\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row17_col1360\" class=\"data row17 col1360\" >2.859000</td>\n",
       "      <td id=\"T_457a2_row17_col1361\" class=\"data row17 col1361\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row17_col1362\" class=\"data row17 col1362\" >3.048000</td>\n",
       "      <td id=\"T_457a2_row17_col1363\" class=\"data row17 col1363\" >3.316000</td>\n",
       "      <td id=\"T_457a2_row17_col1364\" class=\"data row17 col1364\" >3.168000</td>\n",
       "      <td id=\"T_457a2_row17_col1365\" class=\"data row17 col1365\" >2.719000</td>\n",
       "      <td id=\"T_457a2_row17_col1366\" class=\"data row17 col1366\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row17_col1367\" class=\"data row17 col1367\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row17_col1368\" class=\"data row17 col1368\" >3.220000</td>\n",
       "      <td id=\"T_457a2_row17_col1369\" class=\"data row17 col1369\" >3.685000</td>\n",
       "      <td id=\"T_457a2_row17_col1370\" class=\"data row17 col1370\" >3.346000</td>\n",
       "      <td id=\"T_457a2_row17_col1371\" class=\"data row17 col1371\" >2.853000</td>\n",
       "      <td id=\"T_457a2_row17_col1372\" class=\"data row17 col1372\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row17_col1373\" class=\"data row17 col1373\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row17_col1374\" class=\"data row17 col1374\" >2.981000</td>\n",
       "      <td id=\"T_457a2_row17_col1375\" class=\"data row17 col1375\" >3.926000</td>\n",
       "      <td id=\"T_457a2_row17_col1376\" class=\"data row17 col1376\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row17_col1377\" class=\"data row17 col1377\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row17_col1378\" class=\"data row17 col1378\" >2.796000</td>\n",
       "      <td id=\"T_457a2_row17_col1379\" class=\"data row17 col1379\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row17_col1380\" class=\"data row17 col1380\" >2.374000</td>\n",
       "      <td id=\"T_457a2_row17_col1381\" class=\"data row17 col1381\" >3.246000</td>\n",
       "      <td id=\"T_457a2_row17_col1382\" class=\"data row17 col1382\" >2.049000</td>\n",
       "      <td id=\"T_457a2_row17_col1383\" class=\"data row17 col1383\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row17_col1384\" class=\"data row17 col1384\" >3.121000</td>\n",
       "      <td id=\"T_457a2_row17_col1385\" class=\"data row17 col1385\" >3.250000</td>\n",
       "      <td id=\"T_457a2_row17_col1386\" class=\"data row17 col1386\" >3.337000</td>\n",
       "      <td id=\"T_457a2_row17_col1387\" class=\"data row17 col1387\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row17_col1388\" class=\"data row17 col1388\" >3.320000</td>\n",
       "      <td id=\"T_457a2_row17_col1389\" class=\"data row17 col1389\" >3.167000</td>\n",
       "      <td id=\"T_457a2_row17_col1390\" class=\"data row17 col1390\" >2.587000</td>\n",
       "      <td id=\"T_457a2_row17_col1391\" class=\"data row17 col1391\" >2.939000</td>\n",
       "      <td id=\"T_457a2_row17_col1392\" class=\"data row17 col1392\" >3.235000</td>\n",
       "      <td id=\"T_457a2_row17_col1393\" class=\"data row17 col1393\" >3.137000</td>\n",
       "      <td id=\"T_457a2_row17_col1394\" class=\"data row17 col1394\" >3.266000</td>\n",
       "      <td id=\"T_457a2_row17_col1395\" class=\"data row17 col1395\" >2.680000</td>\n",
       "      <td id=\"T_457a2_row17_col1396\" class=\"data row17 col1396\" >3.068000</td>\n",
       "      <td id=\"T_457a2_row17_col1397\" class=\"data row17 col1397\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row17_col1398\" class=\"data row17 col1398\" >2.818000</td>\n",
       "      <td id=\"T_457a2_row17_col1399\" class=\"data row17 col1399\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row17_col1400\" class=\"data row17 col1400\" >3.205000</td>\n",
       "      <td id=\"T_457a2_row17_col1401\" class=\"data row17 col1401\" >2.900000</td>\n",
       "      <td id=\"T_457a2_row17_col1402\" class=\"data row17 col1402\" >2.875000</td>\n",
       "      <td id=\"T_457a2_row17_col1403\" class=\"data row17 col1403\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row17_col1404\" class=\"data row17 col1404\" >2.782000</td>\n",
       "      <td id=\"T_457a2_row17_col1405\" class=\"data row17 col1405\" >2.695000</td>\n",
       "      <td id=\"T_457a2_row17_col1406\" class=\"data row17 col1406\" >2.580000</td>\n",
       "      <td id=\"T_457a2_row17_col1407\" class=\"data row17 col1407\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row17_col1408\" class=\"data row17 col1408\" >2.570000</td>\n",
       "      <td id=\"T_457a2_row17_col1409\" class=\"data row17 col1409\" >2.450000</td>\n",
       "      <td id=\"T_457a2_row17_col1410\" class=\"data row17 col1410\" >2.799000</td>\n",
       "      <td id=\"T_457a2_row17_col1411\" class=\"data row17 col1411\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row17_col1412\" class=\"data row17 col1412\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row17_col1413\" class=\"data row17 col1413\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row17_col1414\" class=\"data row17 col1414\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row17_col1415\" class=\"data row17 col1415\" >2.861000</td>\n",
       "      <td id=\"T_457a2_row17_col1416\" class=\"data row17 col1416\" >2.037000</td>\n",
       "      <td id=\"T_457a2_row17_col1417\" class=\"data row17 col1417\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row17_col1418\" class=\"data row17 col1418\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row17_col1419\" class=\"data row17 col1419\" >2.552000</td>\n",
       "      <td id=\"T_457a2_row17_col1420\" class=\"data row17 col1420\" >2.628000</td>\n",
       "      <td id=\"T_457a2_row17_col1421\" class=\"data row17 col1421\" >2.507000</td>\n",
       "      <td id=\"T_457a2_row17_col1422\" class=\"data row17 col1422\" >2.722000</td>\n",
       "      <td id=\"T_457a2_row17_col1423\" class=\"data row17 col1423\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row17_col1424\" class=\"data row17 col1424\" >2.519000</td>\n",
       "      <td id=\"T_457a2_row17_col1425\" class=\"data row17 col1425\" >3.177000</td>\n",
       "      <td id=\"T_457a2_row17_col1426\" class=\"data row17 col1426\" >3.047000</td>\n",
       "      <td id=\"T_457a2_row17_col1427\" class=\"data row17 col1427\" >3.374000</td>\n",
       "      <td id=\"T_457a2_row17_col1428\" class=\"data row17 col1428\" >3.042000</td>\n",
       "      <td id=\"T_457a2_row17_col1429\" class=\"data row17 col1429\" >3.196000</td>\n",
       "      <td id=\"T_457a2_row17_col1430\" class=\"data row17 col1430\" >3.419000</td>\n",
       "      <td id=\"T_457a2_row17_col1431\" class=\"data row17 col1431\" >3.199000</td>\n",
       "      <td id=\"T_457a2_row17_col1432\" class=\"data row17 col1432\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row17_col1433\" class=\"data row17 col1433\" >2.651000</td>\n",
       "      <td id=\"T_457a2_row17_col1434\" class=\"data row17 col1434\" >2.803000</td>\n",
       "      <td id=\"T_457a2_row17_col1435\" class=\"data row17 col1435\" >2.930000</td>\n",
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       "      <td id=\"T_457a2_row18_col1033\" class=\"data row18 col1033\" >473.700000</td>\n",
       "      <td id=\"T_457a2_row18_col1034\" class=\"data row18 col1034\" >1101.700000</td>\n",
       "      <td id=\"T_457a2_row18_col1035\" class=\"data row18 col1035\" >472.390000</td>\n",
       "      <td id=\"T_457a2_row18_col1036\" class=\"data row18 col1036\" >977.800000</td>\n",
       "      <td id=\"T_457a2_row18_col1037\" class=\"data row18 col1037\" >1124.300000</td>\n",
       "      <td id=\"T_457a2_row18_col1038\" class=\"data row18 col1038\" >822.850000</td>\n",
       "      <td id=\"T_457a2_row18_col1039\" class=\"data row18 col1039\" >704.830000</td>\n",
       "      <td id=\"T_457a2_row18_col1040\" class=\"data row18 col1040\" >632.530000</td>\n",
       "      <td id=\"T_457a2_row18_col1041\" class=\"data row18 col1041\" >693.260000</td>\n",
       "      <td id=\"T_457a2_row18_col1042\" class=\"data row18 col1042\" >740.040000</td>\n",
       "      <td id=\"T_457a2_row18_col1043\" class=\"data row18 col1043\" >386.510000</td>\n",
       "      <td id=\"T_457a2_row18_col1044\" class=\"data row18 col1044\" >355.140000</td>\n",
       "      <td id=\"T_457a2_row18_col1045\" class=\"data row18 col1045\" >423.780000</td>\n",
       "      <td id=\"T_457a2_row18_col1046\" class=\"data row18 col1046\" >655.610000</td>\n",
       "      <td id=\"T_457a2_row18_col1047\" class=\"data row18 col1047\" >412.300000</td>\n",
       "      <td id=\"T_457a2_row18_col1048\" class=\"data row18 col1048\" >651.810000</td>\n",
       "      <td id=\"T_457a2_row18_col1049\" class=\"data row18 col1049\" >430.950000</td>\n",
       "      <td id=\"T_457a2_row18_col1050\" class=\"data row18 col1050\" >340.420000</td>\n",
       "      <td id=\"T_457a2_row18_col1051\" class=\"data row18 col1051\" >892.870000</td>\n",
       "      <td id=\"T_457a2_row18_col1052\" class=\"data row18 col1052\" >1094.200000</td>\n",
       "      <td id=\"T_457a2_row18_col1053\" class=\"data row18 col1053\" >1103.400000</td>\n",
       "      <td id=\"T_457a2_row18_col1054\" class=\"data row18 col1054\" >837.440000</td>\n",
       "      <td id=\"T_457a2_row18_col1055\" class=\"data row18 col1055\" >155.740000</td>\n",
       "      <td id=\"T_457a2_row18_col1056\" class=\"data row18 col1056\" >333.680000</td>\n",
       "      <td id=\"T_457a2_row18_col1057\" class=\"data row18 col1057\" >266.960000</td>\n",
       "      <td id=\"T_457a2_row18_col1058\" class=\"data row18 col1058\" >213.020000</td>\n",
       "      <td id=\"T_457a2_row18_col1059\" class=\"data row18 col1059\" >136.790000</td>\n",
       "      <td id=\"T_457a2_row18_col1060\" class=\"data row18 col1060\" >371.280000</td>\n",
       "      <td id=\"T_457a2_row18_col1061\" class=\"data row18 col1061\" >243.970000</td>\n",
       "      <td id=\"T_457a2_row18_col1062\" class=\"data row18 col1062\" >229.530000</td>\n",
       "      <td id=\"T_457a2_row18_col1063\" class=\"data row18 col1063\" >247.860000</td>\n",
       "      <td id=\"T_457a2_row18_col1064\" class=\"data row18 col1064\" >259.120000</td>\n",
       "      <td id=\"T_457a2_row18_col1065\" class=\"data row18 col1065\" >201.270000</td>\n",
       "      <td id=\"T_457a2_row18_col1066\" class=\"data row18 col1066\" >499.490000</td>\n",
       "      <td id=\"T_457a2_row18_col1067\" class=\"data row18 col1067\" >142.340000</td>\n",
       "      <td id=\"T_457a2_row18_col1068\" class=\"data row18 col1068\" >232.260000</td>\n",
       "      <td id=\"T_457a2_row18_col1069\" class=\"data row18 col1069\" >337.120000</td>\n",
       "      <td id=\"T_457a2_row18_col1070\" class=\"data row18 col1070\" >271.650000</td>\n",
       "      <td id=\"T_457a2_row18_col1071\" class=\"data row18 col1071\" >167.080000</td>\n",
       "      <td id=\"T_457a2_row18_col1072\" class=\"data row18 col1072\" >363.120000</td>\n",
       "      <td id=\"T_457a2_row18_col1073\" class=\"data row18 col1073\" >457.290000</td>\n",
       "      <td id=\"T_457a2_row18_col1074\" class=\"data row18 col1074\" >405.370000</td>\n",
       "      <td id=\"T_457a2_row18_col1075\" class=\"data row18 col1075\" >509.950000</td>\n",
       "      <td id=\"T_457a2_row18_col1076\" class=\"data row18 col1076\" >197.320000</td>\n",
       "      <td id=\"T_457a2_row18_col1077\" class=\"data row18 col1077\" >278.680000</td>\n",
       "      <td id=\"T_457a2_row18_col1078\" class=\"data row18 col1078\" >324.770000</td>\n",
       "      <td id=\"T_457a2_row18_col1079\" class=\"data row18 col1079\" >455.550000</td>\n",
       "      <td id=\"T_457a2_row18_col1080\" class=\"data row18 col1080\" >589.240000</td>\n",
       "      <td id=\"T_457a2_row18_col1081\" class=\"data row18 col1081\" >239.970000</td>\n",
       "      <td id=\"T_457a2_row18_col1082\" class=\"data row18 col1082\" >290.840000</td>\n",
       "      <td id=\"T_457a2_row18_col1083\" class=\"data row18 col1083\" >204.100000</td>\n",
       "      <td id=\"T_457a2_row18_col1084\" class=\"data row18 col1084\" >1.684000</td>\n",
       "      <td id=\"T_457a2_row18_col1085\" class=\"data row18 col1085\" >2.490000</td>\n",
       "      <td id=\"T_457a2_row18_col1086\" class=\"data row18 col1086\" >1.912000</td>\n",
       "      <td id=\"T_457a2_row18_col1087\" class=\"data row18 col1087\" >1.947000</td>\n",
       "      <td id=\"T_457a2_row18_col1088\" class=\"data row18 col1088\" >2.298000</td>\n",
       "      <td id=\"T_457a2_row18_col1089\" class=\"data row18 col1089\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row18_col1090\" class=\"data row18 col1090\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row18_col1091\" class=\"data row18 col1091\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row18_col1092\" class=\"data row18 col1092\" >1.434000</td>\n",
       "      <td id=\"T_457a2_row18_col1093\" class=\"data row18 col1093\" >2.218000</td>\n",
       "      <td id=\"T_457a2_row18_col1094\" class=\"data row18 col1094\" >2.409000</td>\n",
       "      <td id=\"T_457a2_row18_col1095\" class=\"data row18 col1095\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row18_col1096\" class=\"data row18 col1096\" >2.517000</td>\n",
       "      <td id=\"T_457a2_row18_col1097\" class=\"data row18 col1097\" >3.061000</td>\n",
       "      <td id=\"T_457a2_row18_col1098\" class=\"data row18 col1098\" >2.296000</td>\n",
       "      <td id=\"T_457a2_row18_col1099\" class=\"data row18 col1099\" >2.361000</td>\n",
       "      <td id=\"T_457a2_row18_col1100\" class=\"data row18 col1100\" >2.417000</td>\n",
       "      <td id=\"T_457a2_row18_col1101\" class=\"data row18 col1101\" >2.860000</td>\n",
       "      <td id=\"T_457a2_row18_col1102\" class=\"data row18 col1102\" >2.434000</td>\n",
       "      <td id=\"T_457a2_row18_col1103\" class=\"data row18 col1103\" >2.566000</td>\n",
       "      <td id=\"T_457a2_row18_col1104\" class=\"data row18 col1104\" >2.156000</td>\n",
       "      <td id=\"T_457a2_row18_col1105\" class=\"data row18 col1105\" >2.124000</td>\n",
       "      <td id=\"T_457a2_row18_col1106\" class=\"data row18 col1106\" >2.486000</td>\n",
       "      <td id=\"T_457a2_row18_col1107\" class=\"data row18 col1107\" >2.577000</td>\n",
       "      <td id=\"T_457a2_row18_col1108\" class=\"data row18 col1108\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row18_col1109\" class=\"data row18 col1109\" >2.785000</td>\n",
       "      <td id=\"T_457a2_row18_col1110\" class=\"data row18 col1110\" >2.294000</td>\n",
       "      <td id=\"T_457a2_row18_col1111\" class=\"data row18 col1111\" >3.111000</td>\n",
       "      <td id=\"T_457a2_row18_col1112\" class=\"data row18 col1112\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row18_col1113\" class=\"data row18 col1113\" >2.607000</td>\n",
       "      <td id=\"T_457a2_row18_col1114\" class=\"data row18 col1114\" >3.192000</td>\n",
       "      <td id=\"T_457a2_row18_col1115\" class=\"data row18 col1115\" >3.365000</td>\n",
       "      <td id=\"T_457a2_row18_col1116\" class=\"data row18 col1116\" >3.252000</td>\n",
       "      <td id=\"T_457a2_row18_col1117\" class=\"data row18 col1117\" >3.606000</td>\n",
       "      <td id=\"T_457a2_row18_col1118\" class=\"data row18 col1118\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row18_col1119\" class=\"data row18 col1119\" >2.147000</td>\n",
       "      <td id=\"T_457a2_row18_col1120\" class=\"data row18 col1120\" >2.391000</td>\n",
       "      <td id=\"T_457a2_row18_col1121\" class=\"data row18 col1121\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row18_col1122\" class=\"data row18 col1122\" >2.391000</td>\n",
       "      <td id=\"T_457a2_row18_col1123\" class=\"data row18 col1123\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row18_col1124\" class=\"data row18 col1124\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row18_col1125\" class=\"data row18 col1125\" >2.413000</td>\n",
       "      <td id=\"T_457a2_row18_col1126\" class=\"data row18 col1126\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row18_col1127\" class=\"data row18 col1127\" >2.476000</td>\n",
       "      <td id=\"T_457a2_row18_col1128\" class=\"data row18 col1128\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row18_col1129\" class=\"data row18 col1129\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row18_col1130\" class=\"data row18 col1130\" >2.476000</td>\n",
       "      <td id=\"T_457a2_row18_col1131\" class=\"data row18 col1131\" >2.001000</td>\n",
       "      <td id=\"T_457a2_row18_col1132\" class=\"data row18 col1132\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row18_col1133\" class=\"data row18 col1133\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row18_col1134\" class=\"data row18 col1134\" >2.284000</td>\n",
       "      <td id=\"T_457a2_row18_col1135\" class=\"data row18 col1135\" >2.064000</td>\n",
       "      <td id=\"T_457a2_row18_col1136\" class=\"data row18 col1136\" >1.997000</td>\n",
       "      <td id=\"T_457a2_row18_col1137\" class=\"data row18 col1137\" >2.847000</td>\n",
       "      <td id=\"T_457a2_row18_col1138\" class=\"data row18 col1138\" >2.693000</td>\n",
       "      <td id=\"T_457a2_row18_col1139\" class=\"data row18 col1139\" >3.313000</td>\n",
       "      <td id=\"T_457a2_row18_col1140\" class=\"data row18 col1140\" >3.037000</td>\n",
       "      <td id=\"T_457a2_row18_col1141\" class=\"data row18 col1141\" >1.923000</td>\n",
       "      <td id=\"T_457a2_row18_col1142\" class=\"data row18 col1142\" >3.339000</td>\n",
       "      <td id=\"T_457a2_row18_col1143\" class=\"data row18 col1143\" >2.737000</td>\n",
       "      <td id=\"T_457a2_row18_col1144\" class=\"data row18 col1144\" >3.283000</td>\n",
       "      <td id=\"T_457a2_row18_col1145\" class=\"data row18 col1145\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row18_col1146\" class=\"data row18 col1146\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row18_col1147\" class=\"data row18 col1147\" >2.142000</td>\n",
       "      <td id=\"T_457a2_row18_col1148\" class=\"data row18 col1148\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row18_col1149\" class=\"data row18 col1149\" >2.815000</td>\n",
       "      <td id=\"T_457a2_row18_col1150\" class=\"data row18 col1150\" >2.764000</td>\n",
       "      <td id=\"T_457a2_row18_col1151\" class=\"data row18 col1151\" >2.441000</td>\n",
       "      <td id=\"T_457a2_row18_col1152\" class=\"data row18 col1152\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row18_col1153\" class=\"data row18 col1153\" >3.209000</td>\n",
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       "      <td id=\"T_457a2_row18_col1155\" class=\"data row18 col1155\" >2.910000</td>\n",
       "      <td id=\"T_457a2_row18_col1156\" class=\"data row18 col1156\" >2.575000</td>\n",
       "      <td id=\"T_457a2_row18_col1157\" class=\"data row18 col1157\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row18_col1158\" class=\"data row18 col1158\" >2.824000</td>\n",
       "      <td id=\"T_457a2_row18_col1159\" class=\"data row18 col1159\" >3.228000</td>\n",
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       "      <td id=\"T_457a2_row18_col1161\" class=\"data row18 col1161\" >2.627000</td>\n",
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       "      <td id=\"T_457a2_row18_col1228\" class=\"data row18 col1228\" >2.335000</td>\n",
       "      <td id=\"T_457a2_row18_col1229\" class=\"data row18 col1229\" >2.476000</td>\n",
       "      <td id=\"T_457a2_row18_col1230\" class=\"data row18 col1230\" >2.913000</td>\n",
       "      <td id=\"T_457a2_row18_col1231\" class=\"data row18 col1231\" >2.678000</td>\n",
       "      <td id=\"T_457a2_row18_col1232\" class=\"data row18 col1232\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row18_col1233\" class=\"data row18 col1233\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row18_col1234\" class=\"data row18 col1234\" >2.847000</td>\n",
       "      <td id=\"T_457a2_row18_col1235\" class=\"data row18 col1235\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row18_col1236\" class=\"data row18 col1236\" >1.808000</td>\n",
       "      <td id=\"T_457a2_row18_col1237\" class=\"data row18 col1237\" >2.335000</td>\n",
       "      <td id=\"T_457a2_row18_col1238\" class=\"data row18 col1238\" >2.208000</td>\n",
       "      <td id=\"T_457a2_row18_col1239\" class=\"data row18 col1239\" >2.373000</td>\n",
       "      <td id=\"T_457a2_row18_col1240\" class=\"data row18 col1240\" >2.689000</td>\n",
       "      <td id=\"T_457a2_row18_col1241\" class=\"data row18 col1241\" >2.558000</td>\n",
       "      <td id=\"T_457a2_row18_col1242\" class=\"data row18 col1242\" >2.719000</td>\n",
       "      <td id=\"T_457a2_row18_col1243\" class=\"data row18 col1243\" >2.122000</td>\n",
       "      <td id=\"T_457a2_row18_col1244\" class=\"data row18 col1244\" >2.554000</td>\n",
       "      <td id=\"T_457a2_row18_col1245\" class=\"data row18 col1245\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row18_col1246\" class=\"data row18 col1246\" >2.978000</td>\n",
       "      <td id=\"T_457a2_row18_col1247\" class=\"data row18 col1247\" >3.464000</td>\n",
       "      <td id=\"T_457a2_row18_col1248\" class=\"data row18 col1248\" >3.450000</td>\n",
       "      <td id=\"T_457a2_row18_col1249\" class=\"data row18 col1249\" >2.889000</td>\n",
       "      <td id=\"T_457a2_row18_col1250\" class=\"data row18 col1250\" >3.197000</td>\n",
       "      <td id=\"T_457a2_row18_col1251\" class=\"data row18 col1251\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row18_col1252\" class=\"data row18 col1252\" >2.316000</td>\n",
       "      <td id=\"T_457a2_row18_col1253\" class=\"data row18 col1253\" >2.223000</td>\n",
       "      <td id=\"T_457a2_row18_col1254\" class=\"data row18 col1254\" >2.342000</td>\n",
       "      <td id=\"T_457a2_row18_col1255\" class=\"data row18 col1255\" >3.146000</td>\n",
       "      <td id=\"T_457a2_row18_col1256\" class=\"data row18 col1256\" >2.899000</td>\n",
       "      <td id=\"T_457a2_row18_col1257\" class=\"data row18 col1257\" >2.690000</td>\n",
       "      <td id=\"T_457a2_row18_col1258\" class=\"data row18 col1258\" >3.095000</td>\n",
       "      <td id=\"T_457a2_row18_col1259\" class=\"data row18 col1259\" >3.134000</td>\n",
       "      <td id=\"T_457a2_row18_col1260\" class=\"data row18 col1260\" >3.199000</td>\n",
       "      <td id=\"T_457a2_row18_col1261\" class=\"data row18 col1261\" >2.548000</td>\n",
       "      <td id=\"T_457a2_row18_col1262\" class=\"data row18 col1262\" >2.446000</td>\n",
       "      <td id=\"T_457a2_row18_col1263\" class=\"data row18 col1263\" >2.937000</td>\n",
       "      <td id=\"T_457a2_row18_col1264\" class=\"data row18 col1264\" >1.811000</td>\n",
       "      <td id=\"T_457a2_row18_col1265\" class=\"data row18 col1265\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row18_col1266\" class=\"data row18 col1266\" >2.116000</td>\n",
       "      <td id=\"T_457a2_row18_col1267\" class=\"data row18 col1267\" >2.080000</td>\n",
       "      <td id=\"T_457a2_row18_col1268\" class=\"data row18 col1268\" >2.045000</td>\n",
       "      <td id=\"T_457a2_row18_col1269\" class=\"data row18 col1269\" >2.177000</td>\n",
       "      <td id=\"T_457a2_row18_col1270\" class=\"data row18 col1270\" >2.747000</td>\n",
       "      <td id=\"T_457a2_row18_col1271\" class=\"data row18 col1271\" >2.565000</td>\n",
       "      <td id=\"T_457a2_row18_col1272\" class=\"data row18 col1272\" >1.337000</td>\n",
       "      <td id=\"T_457a2_row18_col1273\" class=\"data row18 col1273\" >2.465000</td>\n",
       "      <td id=\"T_457a2_row18_col1274\" class=\"data row18 col1274\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row18_col1275\" class=\"data row18 col1275\" >2.474000</td>\n",
       "      <td id=\"T_457a2_row18_col1276\" class=\"data row18 col1276\" >1.978000</td>\n",
       "      <td id=\"T_457a2_row18_col1277\" class=\"data row18 col1277\" >2.682000</td>\n",
       "      <td id=\"T_457a2_row18_col1278\" class=\"data row18 col1278\" >2.616000</td>\n",
       "      <td id=\"T_457a2_row18_col1279\" class=\"data row18 col1279\" >2.317000</td>\n",
       "      <td id=\"T_457a2_row18_col1280\" class=\"data row18 col1280\" >2.470000</td>\n",
       "      <td id=\"T_457a2_row18_col1281\" class=\"data row18 col1281\" >2.730000</td>\n",
       "      <td id=\"T_457a2_row18_col1282\" class=\"data row18 col1282\" >2.276000</td>\n",
       "      <td id=\"T_457a2_row18_col1283\" class=\"data row18 col1283\" >2.038000</td>\n",
       "      <td id=\"T_457a2_row18_col1284\" class=\"data row18 col1284\" >2.846000</td>\n",
       "      <td id=\"T_457a2_row18_col1285\" class=\"data row18 col1285\" >2.724000</td>\n",
       "      <td id=\"T_457a2_row18_col1286\" class=\"data row18 col1286\" >2.243000</td>\n",
       "      <td id=\"T_457a2_row18_col1287\" class=\"data row18 col1287\" >2.926000</td>\n",
       "      <td id=\"T_457a2_row18_col1288\" class=\"data row18 col1288\" >3.382000</td>\n",
       "      <td id=\"T_457a2_row18_col1289\" class=\"data row18 col1289\" >3.073000</td>\n",
       "      <td id=\"T_457a2_row18_col1290\" class=\"data row18 col1290\" >2.669000</td>\n",
       "      <td id=\"T_457a2_row18_col1291\" class=\"data row18 col1291\" >2.700000</td>\n",
       "      <td id=\"T_457a2_row18_col1292\" class=\"data row18 col1292\" >3.018000</td>\n",
       "      <td id=\"T_457a2_row18_col1293\" class=\"data row18 col1293\" >3.287000</td>\n",
       "      <td id=\"T_457a2_row18_col1294\" class=\"data row18 col1294\" >2.936000</td>\n",
       "      <td id=\"T_457a2_row18_col1295\" class=\"data row18 col1295\" >3.476000</td>\n",
       "      <td id=\"T_457a2_row18_col1296\" class=\"data row18 col1296\" >3.557000</td>\n",
       "      <td id=\"T_457a2_row18_col1297\" class=\"data row18 col1297\" >3.766000</td>\n",
       "      <td id=\"T_457a2_row18_col1298\" class=\"data row18 col1298\" >3.017000</td>\n",
       "      <td id=\"T_457a2_row18_col1299\" class=\"data row18 col1299\" >2.508000</td>\n",
       "      <td id=\"T_457a2_row18_col1300\" class=\"data row18 col1300\" >2.350000</td>\n",
       "      <td id=\"T_457a2_row18_col1301\" class=\"data row18 col1301\" >2.923000</td>\n",
       "      <td id=\"T_457a2_row18_col1302\" class=\"data row18 col1302\" >2.349000</td>\n",
       "      <td id=\"T_457a2_row18_col1303\" class=\"data row18 col1303\" >3.011000</td>\n",
       "      <td id=\"T_457a2_row18_col1304\" class=\"data row18 col1304\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row18_col1305\" class=\"data row18 col1305\" >2.445000</td>\n",
       "      <td id=\"T_457a2_row18_col1306\" class=\"data row18 col1306\" >2.830000</td>\n",
       "      <td id=\"T_457a2_row18_col1307\" class=\"data row18 col1307\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row18_col1308\" class=\"data row18 col1308\" >2.768000</td>\n",
       "      <td id=\"T_457a2_row18_col1309\" class=\"data row18 col1309\" >2.540000</td>\n",
       "      <td id=\"T_457a2_row18_col1310\" class=\"data row18 col1310\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row18_col1311\" class=\"data row18 col1311\" >2.157000</td>\n",
       "      <td id=\"T_457a2_row18_col1312\" class=\"data row18 col1312\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row18_col1313\" class=\"data row18 col1313\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row18_col1314\" class=\"data row18 col1314\" >2.179000</td>\n",
       "      <td id=\"T_457a2_row18_col1315\" class=\"data row18 col1315\" >2.152000</td>\n",
       "      <td id=\"T_457a2_row18_col1316\" class=\"data row18 col1316\" >1.802000</td>\n",
       "      <td id=\"T_457a2_row18_col1317\" class=\"data row18 col1317\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row18_col1318\" class=\"data row18 col1318\" >2.623000</td>\n",
       "      <td id=\"T_457a2_row18_col1319\" class=\"data row18 col1319\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row18_col1320\" class=\"data row18 col1320\" >3.172000</td>\n",
       "      <td id=\"T_457a2_row18_col1321\" class=\"data row18 col1321\" >2.063000</td>\n",
       "      <td id=\"T_457a2_row18_col1322\" class=\"data row18 col1322\" >3.121000</td>\n",
       "      <td id=\"T_457a2_row18_col1323\" class=\"data row18 col1323\" >2.923000</td>\n",
       "      <td id=\"T_457a2_row18_col1324\" class=\"data row18 col1324\" >3.290000</td>\n",
       "      <td id=\"T_457a2_row18_col1325\" class=\"data row18 col1325\" >2.978000</td>\n",
       "      <td id=\"T_457a2_row18_col1326\" class=\"data row18 col1326\" >2.924000</td>\n",
       "      <td id=\"T_457a2_row18_col1327\" class=\"data row18 col1327\" >2.260000</td>\n",
       "      <td id=\"T_457a2_row18_col1328\" class=\"data row18 col1328\" >3.360000</td>\n",
       "      <td id=\"T_457a2_row18_col1329\" class=\"data row18 col1329\" >3.258000</td>\n",
       "      <td id=\"T_457a2_row18_col1330\" class=\"data row18 col1330\" >2.754000</td>\n",
       "      <td id=\"T_457a2_row18_col1331\" class=\"data row18 col1331\" >2.579000</td>\n",
       "      <td id=\"T_457a2_row18_col1332\" class=\"data row18 col1332\" >3.331000</td>\n",
       "      <td id=\"T_457a2_row18_col1333\" class=\"data row18 col1333\" >3.175000</td>\n",
       "      <td id=\"T_457a2_row18_col1334\" class=\"data row18 col1334\" >2.820000</td>\n",
       "      <td id=\"T_457a2_row18_col1335\" class=\"data row18 col1335\" >2.968000</td>\n",
       "      <td id=\"T_457a2_row18_col1336\" class=\"data row18 col1336\" >2.318000</td>\n",
       "      <td id=\"T_457a2_row18_col1337\" class=\"data row18 col1337\" >2.858000</td>\n",
       "      <td id=\"T_457a2_row18_col1338\" class=\"data row18 col1338\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row18_col1339\" class=\"data row18 col1339\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row18_col1340\" class=\"data row18 col1340\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row18_col1341\" class=\"data row18 col1341\" >2.559000</td>\n",
       "      <td id=\"T_457a2_row18_col1342\" class=\"data row18 col1342\" >2.098000</td>\n",
       "      <td id=\"T_457a2_row18_col1343\" class=\"data row18 col1343\" >2.948000</td>\n",
       "      <td id=\"T_457a2_row18_col1344\" class=\"data row18 col1344\" >2.553000</td>\n",
       "      <td id=\"T_457a2_row18_col1345\" class=\"data row18 col1345\" >2.542000</td>\n",
       "      <td id=\"T_457a2_row18_col1346\" class=\"data row18 col1346\" >2.541000</td>\n",
       "      <td id=\"T_457a2_row18_col1347\" class=\"data row18 col1347\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row18_col1348\" class=\"data row18 col1348\" >3.078000</td>\n",
       "      <td id=\"T_457a2_row18_col1349\" class=\"data row18 col1349\" >2.555000</td>\n",
       "      <td id=\"T_457a2_row18_col1350\" class=\"data row18 col1350\" >2.803000</td>\n",
       "      <td id=\"T_457a2_row18_col1351\" class=\"data row18 col1351\" >3.419000</td>\n",
       "      <td id=\"T_457a2_row18_col1352\" class=\"data row18 col1352\" >2.718000</td>\n",
       "      <td id=\"T_457a2_row18_col1353\" class=\"data row18 col1353\" >3.163000</td>\n",
       "      <td id=\"T_457a2_row18_col1354\" class=\"data row18 col1354\" >3.230000</td>\n",
       "      <td id=\"T_457a2_row18_col1355\" class=\"data row18 col1355\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row18_col1356\" class=\"data row18 col1356\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row18_col1357\" class=\"data row18 col1357\" >3.464000</td>\n",
       "      <td id=\"T_457a2_row18_col1358\" class=\"data row18 col1358\" >2.222000</td>\n",
       "      <td id=\"T_457a2_row18_col1359\" class=\"data row18 col1359\" >2.433000</td>\n",
       "      <td id=\"T_457a2_row18_col1360\" class=\"data row18 col1360\" >2.662000</td>\n",
       "      <td id=\"T_457a2_row18_col1361\" class=\"data row18 col1361\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row18_col1362\" class=\"data row18 col1362\" >2.388000</td>\n",
       "      <td id=\"T_457a2_row18_col1363\" class=\"data row18 col1363\" >2.560000</td>\n",
       "      <td id=\"T_457a2_row18_col1364\" class=\"data row18 col1364\" >2.979000</td>\n",
       "      <td id=\"T_457a2_row18_col1365\" class=\"data row18 col1365\" >2.696000</td>\n",
       "      <td id=\"T_457a2_row18_col1366\" class=\"data row18 col1366\" >3.233000</td>\n",
       "      <td id=\"T_457a2_row18_col1367\" class=\"data row18 col1367\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row18_col1368\" class=\"data row18 col1368\" >2.755000</td>\n",
       "      <td id=\"T_457a2_row18_col1369\" class=\"data row18 col1369\" >4.081000</td>\n",
       "      <td id=\"T_457a2_row18_col1370\" class=\"data row18 col1370\" >3.555000</td>\n",
       "      <td id=\"T_457a2_row18_col1371\" class=\"data row18 col1371\" >3.032000</td>\n",
       "      <td id=\"T_457a2_row18_col1372\" class=\"data row18 col1372\" >3.643000</td>\n",
       "      <td id=\"T_457a2_row18_col1373\" class=\"data row18 col1373\" >3.198000</td>\n",
       "      <td id=\"T_457a2_row18_col1374\" class=\"data row18 col1374\" >3.391000</td>\n",
       "      <td id=\"T_457a2_row18_col1375\" class=\"data row18 col1375\" >4.229000</td>\n",
       "      <td id=\"T_457a2_row18_col1376\" class=\"data row18 col1376\" >2.864000</td>\n",
       "      <td id=\"T_457a2_row18_col1377\" class=\"data row18 col1377\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row18_col1378\" class=\"data row18 col1378\" >2.749000</td>\n",
       "      <td id=\"T_457a2_row18_col1379\" class=\"data row18 col1379\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row18_col1380\" class=\"data row18 col1380\" >2.443000</td>\n",
       "      <td id=\"T_457a2_row18_col1381\" class=\"data row18 col1381\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row18_col1382\" class=\"data row18 col1382\" >2.514000</td>\n",
       "      <td id=\"T_457a2_row18_col1383\" class=\"data row18 col1383\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row18_col1384\" class=\"data row18 col1384\" >2.654000</td>\n",
       "      <td id=\"T_457a2_row18_col1385\" class=\"data row18 col1385\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row18_col1386\" class=\"data row18 col1386\" >3.184000</td>\n",
       "      <td id=\"T_457a2_row18_col1387\" class=\"data row18 col1387\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row18_col1388\" class=\"data row18 col1388\" >2.972000</td>\n",
       "      <td id=\"T_457a2_row18_col1389\" class=\"data row18 col1389\" >2.472000</td>\n",
       "      <td id=\"T_457a2_row18_col1390\" class=\"data row18 col1390\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row18_col1391\" class=\"data row18 col1391\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row18_col1392\" class=\"data row18 col1392\" >3.180000</td>\n",
       "      <td id=\"T_457a2_row18_col1393\" class=\"data row18 col1393\" >3.529000</td>\n",
       "      <td id=\"T_457a2_row18_col1394\" class=\"data row18 col1394\" >2.660000</td>\n",
       "      <td id=\"T_457a2_row18_col1395\" class=\"data row18 col1395\" >3.341000</td>\n",
       "      <td id=\"T_457a2_row18_col1396\" class=\"data row18 col1396\" >3.193000</td>\n",
       "      <td id=\"T_457a2_row18_col1397\" class=\"data row18 col1397\" >2.520000</td>\n",
       "      <td id=\"T_457a2_row18_col1398\" class=\"data row18 col1398\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row18_col1399\" class=\"data row18 col1399\" >2.929000</td>\n",
       "      <td id=\"T_457a2_row18_col1400\" class=\"data row18 col1400\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row18_col1401\" class=\"data row18 col1401\" >2.872000</td>\n",
       "      <td id=\"T_457a2_row18_col1402\" class=\"data row18 col1402\" >2.795000</td>\n",
       "      <td id=\"T_457a2_row18_col1403\" class=\"data row18 col1403\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row18_col1404\" class=\"data row18 col1404\" >2.402000</td>\n",
       "      <td id=\"T_457a2_row18_col1405\" class=\"data row18 col1405\" >2.416000</td>\n",
       "      <td id=\"T_457a2_row18_col1406\" class=\"data row18 col1406\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row18_col1407\" class=\"data row18 col1407\" >2.216000</td>\n",
       "      <td id=\"T_457a2_row18_col1408\" class=\"data row18 col1408\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row18_col1409\" class=\"data row18 col1409\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row18_col1410\" class=\"data row18 col1410\" >2.649000</td>\n",
       "      <td id=\"T_457a2_row18_col1411\" class=\"data row18 col1411\" >2.480000</td>\n",
       "      <td id=\"T_457a2_row18_col1412\" class=\"data row18 col1412\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row18_col1413\" class=\"data row18 col1413\" >2.674000</td>\n",
       "      <td id=\"T_457a2_row18_col1414\" class=\"data row18 col1414\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row18_col1415\" class=\"data row18 col1415\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row18_col1416\" class=\"data row18 col1416\" >2.851000</td>\n",
       "      <td id=\"T_457a2_row18_col1417\" class=\"data row18 col1417\" >2.504000</td>\n",
       "      <td id=\"T_457a2_row18_col1418\" class=\"data row18 col1418\" >2.163000</td>\n",
       "      <td id=\"T_457a2_row18_col1419\" class=\"data row18 col1419\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row18_col1420\" class=\"data row18 col1420\" >2.681000</td>\n",
       "      <td id=\"T_457a2_row18_col1421\" class=\"data row18 col1421\" >2.382000</td>\n",
       "      <td id=\"T_457a2_row18_col1422\" class=\"data row18 col1422\" >2.550000</td>\n",
       "      <td id=\"T_457a2_row18_col1423\" class=\"data row18 col1423\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row18_col1424\" class=\"data row18 col1424\" >2.923000</td>\n",
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       "      <td id=\"T_457a2_row19_col1022\" class=\"data row19 col1022\" >206.340000</td>\n",
       "      <td id=\"T_457a2_row19_col1023\" class=\"data row19 col1023\" >351.530000</td>\n",
       "      <td id=\"T_457a2_row19_col1024\" class=\"data row19 col1024\" >258.650000</td>\n",
       "      <td id=\"T_457a2_row19_col1025\" class=\"data row19 col1025\" >537.400000</td>\n",
       "      <td id=\"T_457a2_row19_col1026\" class=\"data row19 col1026\" >177.520000</td>\n",
       "      <td id=\"T_457a2_row19_col1027\" class=\"data row19 col1027\" >343.210000</td>\n",
       "      <td id=\"T_457a2_row19_col1028\" class=\"data row19 col1028\" >590.340000</td>\n",
       "      <td id=\"T_457a2_row19_col1029\" class=\"data row19 col1029\" >215.800000</td>\n",
       "      <td id=\"T_457a2_row19_col1030\" class=\"data row19 col1030\" >274.410000</td>\n",
       "      <td id=\"T_457a2_row19_col1031\" class=\"data row19 col1031\" >604.950000</td>\n",
       "      <td id=\"T_457a2_row19_col1032\" class=\"data row19 col1032\" >564.070000</td>\n",
       "      <td id=\"T_457a2_row19_col1033\" class=\"data row19 col1033\" >479.710000</td>\n",
       "      <td id=\"T_457a2_row19_col1034\" class=\"data row19 col1034\" >1099.000000</td>\n",
       "      <td id=\"T_457a2_row19_col1035\" class=\"data row19 col1035\" >554.660000</td>\n",
       "      <td id=\"T_457a2_row19_col1036\" class=\"data row19 col1036\" >953.750000</td>\n",
       "      <td id=\"T_457a2_row19_col1037\" class=\"data row19 col1037\" >1222.300000</td>\n",
       "      <td id=\"T_457a2_row19_col1038\" class=\"data row19 col1038\" >926.180000</td>\n",
       "      <td id=\"T_457a2_row19_col1039\" class=\"data row19 col1039\" >559.750000</td>\n",
       "      <td id=\"T_457a2_row19_col1040\" class=\"data row19 col1040\" >626.790000</td>\n",
       "      <td id=\"T_457a2_row19_col1041\" class=\"data row19 col1041\" >385.570000</td>\n",
       "      <td id=\"T_457a2_row19_col1042\" class=\"data row19 col1042\" >671.700000</td>\n",
       "      <td id=\"T_457a2_row19_col1043\" class=\"data row19 col1043\" >714.080000</td>\n",
       "      <td id=\"T_457a2_row19_col1044\" class=\"data row19 col1044\" >503.820000</td>\n",
       "      <td id=\"T_457a2_row19_col1045\" class=\"data row19 col1045\" >564.850000</td>\n",
       "      <td id=\"T_457a2_row19_col1046\" class=\"data row19 col1046\" >721.040000</td>\n",
       "      <td id=\"T_457a2_row19_col1047\" class=\"data row19 col1047\" >622.950000</td>\n",
       "      <td id=\"T_457a2_row19_col1048\" class=\"data row19 col1048\" >443.400000</td>\n",
       "      <td id=\"T_457a2_row19_col1049\" class=\"data row19 col1049\" >316.940000</td>\n",
       "      <td id=\"T_457a2_row19_col1050\" class=\"data row19 col1050\" >344.140000</td>\n",
       "      <td id=\"T_457a2_row19_col1051\" class=\"data row19 col1051\" >809.340000</td>\n",
       "      <td id=\"T_457a2_row19_col1052\" class=\"data row19 col1052\" >1181.200000</td>\n",
       "      <td id=\"T_457a2_row19_col1053\" class=\"data row19 col1053\" >1028.000000</td>\n",
       "      <td id=\"T_457a2_row19_col1054\" class=\"data row19 col1054\" >754.820000</td>\n",
       "      <td id=\"T_457a2_row19_col1055\" class=\"data row19 col1055\" >128.020000</td>\n",
       "      <td id=\"T_457a2_row19_col1056\" class=\"data row19 col1056\" >333.460000</td>\n",
       "      <td id=\"T_457a2_row19_col1057\" class=\"data row19 col1057\" >239.460000</td>\n",
       "      <td id=\"T_457a2_row19_col1058\" class=\"data row19 col1058\" >212.900000</td>\n",
       "      <td id=\"T_457a2_row19_col1059\" class=\"data row19 col1059\" >159.030000</td>\n",
       "      <td id=\"T_457a2_row19_col1060\" class=\"data row19 col1060\" >332.330000</td>\n",
       "      <td id=\"T_457a2_row19_col1061\" class=\"data row19 col1061\" >316.940000</td>\n",
       "      <td id=\"T_457a2_row19_col1062\" class=\"data row19 col1062\" >312.610000</td>\n",
       "      <td id=\"T_457a2_row19_col1063\" class=\"data row19 col1063\" >259.930000</td>\n",
       "      <td id=\"T_457a2_row19_col1064\" class=\"data row19 col1064\" >203.930000</td>\n",
       "      <td id=\"T_457a2_row19_col1065\" class=\"data row19 col1065\" >243.490000</td>\n",
       "      <td id=\"T_457a2_row19_col1066\" class=\"data row19 col1066\" >418.670000</td>\n",
       "      <td id=\"T_457a2_row19_col1067\" class=\"data row19 col1067\" >145.770000</td>\n",
       "      <td id=\"T_457a2_row19_col1068\" class=\"data row19 col1068\" >247.220000</td>\n",
       "      <td id=\"T_457a2_row19_col1069\" class=\"data row19 col1069\" >349.860000</td>\n",
       "      <td id=\"T_457a2_row19_col1070\" class=\"data row19 col1070\" >292.800000</td>\n",
       "      <td id=\"T_457a2_row19_col1071\" class=\"data row19 col1071\" >166.850000</td>\n",
       "      <td id=\"T_457a2_row19_col1072\" class=\"data row19 col1072\" >348.260000</td>\n",
       "      <td id=\"T_457a2_row19_col1073\" class=\"data row19 col1073\" >536.870000</td>\n",
       "      <td id=\"T_457a2_row19_col1074\" class=\"data row19 col1074\" >532.410000</td>\n",
       "      <td id=\"T_457a2_row19_col1075\" class=\"data row19 col1075\" >562.160000</td>\n",
       "      <td id=\"T_457a2_row19_col1076\" class=\"data row19 col1076\" >235.410000</td>\n",
       "      <td id=\"T_457a2_row19_col1077\" class=\"data row19 col1077\" >273.630000</td>\n",
       "      <td id=\"T_457a2_row19_col1078\" class=\"data row19 col1078\" >488.900000</td>\n",
       "      <td id=\"T_457a2_row19_col1079\" class=\"data row19 col1079\" >462.470000</td>\n",
       "      <td id=\"T_457a2_row19_col1080\" class=\"data row19 col1080\" >523.480000</td>\n",
       "      <td id=\"T_457a2_row19_col1081\" class=\"data row19 col1081\" >266.720000</td>\n",
       "      <td id=\"T_457a2_row19_col1082\" class=\"data row19 col1082\" >280.220000</td>\n",
       "      <td id=\"T_457a2_row19_col1083\" class=\"data row19 col1083\" >169.060000</td>\n",
       "      <td id=\"T_457a2_row19_col1084\" class=\"data row19 col1084\" >2.050000</td>\n",
       "      <td id=\"T_457a2_row19_col1085\" class=\"data row19 col1085\" >2.554000</td>\n",
       "      <td id=\"T_457a2_row19_col1086\" class=\"data row19 col1086\" >2.431000</td>\n",
       "      <td id=\"T_457a2_row19_col1087\" class=\"data row19 col1087\" >2.310000</td>\n",
       "      <td id=\"T_457a2_row19_col1088\" class=\"data row19 col1088\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row19_col1089\" class=\"data row19 col1089\" >2.560000</td>\n",
       "      <td id=\"T_457a2_row19_col1090\" class=\"data row19 col1090\" >2.657000</td>\n",
       "      <td id=\"T_457a2_row19_col1091\" class=\"data row19 col1091\" >2.712000</td>\n",
       "      <td id=\"T_457a2_row19_col1092\" class=\"data row19 col1092\" >1.737000</td>\n",
       "      <td id=\"T_457a2_row19_col1093\" class=\"data row19 col1093\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row19_col1094\" class=\"data row19 col1094\" >2.591000</td>\n",
       "      <td id=\"T_457a2_row19_col1095\" class=\"data row19 col1095\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row19_col1096\" class=\"data row19 col1096\" >2.383000</td>\n",
       "      <td id=\"T_457a2_row19_col1097\" class=\"data row19 col1097\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row19_col1098\" class=\"data row19 col1098\" >2.697000</td>\n",
       "      <td id=\"T_457a2_row19_col1099\" class=\"data row19 col1099\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row19_col1100\" class=\"data row19 col1100\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row19_col1101\" class=\"data row19 col1101\" >3.218000</td>\n",
       "      <td id=\"T_457a2_row19_col1102\" class=\"data row19 col1102\" >2.468000</td>\n",
       "      <td id=\"T_457a2_row19_col1103\" class=\"data row19 col1103\" >2.877000</td>\n",
       "      <td id=\"T_457a2_row19_col1104\" class=\"data row19 col1104\" >3.285000</td>\n",
       "      <td id=\"T_457a2_row19_col1105\" class=\"data row19 col1105\" >3.185000</td>\n",
       "      <td id=\"T_457a2_row19_col1106\" class=\"data row19 col1106\" >2.372000</td>\n",
       "      <td id=\"T_457a2_row19_col1107\" class=\"data row19 col1107\" >2.880000</td>\n",
       "      <td id=\"T_457a2_row19_col1108\" class=\"data row19 col1108\" >3.113000</td>\n",
       "      <td id=\"T_457a2_row19_col1109\" class=\"data row19 col1109\" >3.221000</td>\n",
       "      <td id=\"T_457a2_row19_col1110\" class=\"data row19 col1110\" >2.714000</td>\n",
       "      <td id=\"T_457a2_row19_col1111\" class=\"data row19 col1111\" >3.019000</td>\n",
       "      <td id=\"T_457a2_row19_col1112\" class=\"data row19 col1112\" >2.841000</td>\n",
       "      <td id=\"T_457a2_row19_col1113\" class=\"data row19 col1113\" >2.997000</td>\n",
       "      <td id=\"T_457a2_row19_col1114\" class=\"data row19 col1114\" >3.217000</td>\n",
       "      <td id=\"T_457a2_row19_col1115\" class=\"data row19 col1115\" >3.413000</td>\n",
       "      <td id=\"T_457a2_row19_col1116\" class=\"data row19 col1116\" >3.633000</td>\n",
       "      <td id=\"T_457a2_row19_col1117\" class=\"data row19 col1117\" >3.554000</td>\n",
       "      <td id=\"T_457a2_row19_col1118\" class=\"data row19 col1118\" >2.893000</td>\n",
       "      <td id=\"T_457a2_row19_col1119\" class=\"data row19 col1119\" >2.345000</td>\n",
       "      <td id=\"T_457a2_row19_col1120\" class=\"data row19 col1120\" >2.401000</td>\n",
       "      <td id=\"T_457a2_row19_col1121\" class=\"data row19 col1121\" >2.868000</td>\n",
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       "      <td id=\"T_457a2_row19_col1123\" class=\"data row19 col1123\" >2.888000</td>\n",
       "      <td id=\"T_457a2_row19_col1124\" class=\"data row19 col1124\" >2.836000</td>\n",
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       "      <td id=\"T_457a2_row19_col1217\" class=\"data row19 col1217\" >2.791000</td>\n",
       "      <td id=\"T_457a2_row19_col1218\" class=\"data row19 col1218\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row19_col1219\" class=\"data row19 col1219\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row19_col1220\" class=\"data row19 col1220\" >3.109000</td>\n",
       "      <td id=\"T_457a2_row19_col1221\" class=\"data row19 col1221\" >2.859000</td>\n",
       "      <td id=\"T_457a2_row19_col1222\" class=\"data row19 col1222\" >2.899000</td>\n",
       "      <td id=\"T_457a2_row19_col1223\" class=\"data row19 col1223\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row19_col1224\" class=\"data row19 col1224\" >2.987000</td>\n",
       "      <td id=\"T_457a2_row19_col1225\" class=\"data row19 col1225\" >2.535000</td>\n",
       "      <td id=\"T_457a2_row19_col1226\" class=\"data row19 col1226\" >3.128000</td>\n",
       "      <td id=\"T_457a2_row19_col1227\" class=\"data row19 col1227\" >2.493000</td>\n",
       "      <td id=\"T_457a2_row19_col1228\" class=\"data row19 col1228\" >2.903000</td>\n",
       "      <td id=\"T_457a2_row19_col1229\" class=\"data row19 col1229\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row19_col1230\" class=\"data row19 col1230\" >2.975000</td>\n",
       "      <td id=\"T_457a2_row19_col1231\" class=\"data row19 col1231\" >2.982000</td>\n",
       "      <td id=\"T_457a2_row19_col1232\" class=\"data row19 col1232\" >3.006000</td>\n",
       "      <td id=\"T_457a2_row19_col1233\" class=\"data row19 col1233\" >2.961000</td>\n",
       "      <td id=\"T_457a2_row19_col1234\" class=\"data row19 col1234\" >2.853000</td>\n",
       "      <td id=\"T_457a2_row19_col1235\" class=\"data row19 col1235\" >2.644000</td>\n",
       "      <td id=\"T_457a2_row19_col1236\" class=\"data row19 col1236\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row19_col1237\" class=\"data row19 col1237\" >2.722000</td>\n",
       "      <td id=\"T_457a2_row19_col1238\" class=\"data row19 col1238\" >2.817000</td>\n",
       "      <td id=\"T_457a2_row19_col1239\" class=\"data row19 col1239\" >2.827000</td>\n",
       "      <td id=\"T_457a2_row19_col1240\" class=\"data row19 col1240\" >2.536000</td>\n",
       "      <td id=\"T_457a2_row19_col1241\" class=\"data row19 col1241\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row19_col1242\" class=\"data row19 col1242\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row19_col1243\" class=\"data row19 col1243\" >2.963000</td>\n",
       "      <td id=\"T_457a2_row19_col1244\" class=\"data row19 col1244\" >2.566000</td>\n",
       "      <td id=\"T_457a2_row19_col1245\" class=\"data row19 col1245\" >2.811000</td>\n",
       "      <td id=\"T_457a2_row19_col1246\" class=\"data row19 col1246\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row19_col1247\" class=\"data row19 col1247\" >3.473000</td>\n",
       "      <td id=\"T_457a2_row19_col1248\" class=\"data row19 col1248\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row19_col1249\" class=\"data row19 col1249\" >3.271000</td>\n",
       "      <td id=\"T_457a2_row19_col1250\" class=\"data row19 col1250\" >3.258000</td>\n",
       "      <td id=\"T_457a2_row19_col1251\" class=\"data row19 col1251\" >2.639000</td>\n",
       "      <td id=\"T_457a2_row19_col1252\" class=\"data row19 col1252\" >2.544000</td>\n",
       "      <td id=\"T_457a2_row19_col1253\" class=\"data row19 col1253\" >2.531000</td>\n",
       "      <td id=\"T_457a2_row19_col1254\" class=\"data row19 col1254\" >2.234000</td>\n",
       "      <td id=\"T_457a2_row19_col1255\" class=\"data row19 col1255\" >3.114000</td>\n",
       "      <td id=\"T_457a2_row19_col1256\" class=\"data row19 col1256\" >2.497000</td>\n",
       "      <td id=\"T_457a2_row19_col1257\" class=\"data row19 col1257\" >3.118000</td>\n",
       "      <td id=\"T_457a2_row19_col1258\" class=\"data row19 col1258\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row19_col1259\" class=\"data row19 col1259\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row19_col1260\" class=\"data row19 col1260\" >2.895000</td>\n",
       "      <td id=\"T_457a2_row19_col1261\" class=\"data row19 col1261\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row19_col1262\" class=\"data row19 col1262\" >3.396000</td>\n",
       "      <td id=\"T_457a2_row19_col1263\" class=\"data row19 col1263\" >3.586000</td>\n",
       "      <td id=\"T_457a2_row19_col1264\" class=\"data row19 col1264\" >2.058000</td>\n",
       "      <td id=\"T_457a2_row19_col1265\" class=\"data row19 col1265\" >2.587000</td>\n",
       "      <td id=\"T_457a2_row19_col1266\" class=\"data row19 col1266\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row19_col1267\" class=\"data row19 col1267\" >2.425000</td>\n",
       "      <td id=\"T_457a2_row19_col1268\" class=\"data row19 col1268\" >2.379000</td>\n",
       "      <td id=\"T_457a2_row19_col1269\" class=\"data row19 col1269\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row19_col1270\" class=\"data row19 col1270\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row19_col1271\" class=\"data row19 col1271\" >2.540000</td>\n",
       "      <td id=\"T_457a2_row19_col1272\" class=\"data row19 col1272\" >1.655000</td>\n",
       "      <td id=\"T_457a2_row19_col1273\" class=\"data row19 col1273\" >2.478000</td>\n",
       "      <td id=\"T_457a2_row19_col1274\" class=\"data row19 col1274\" >2.515000</td>\n",
       "      <td id=\"T_457a2_row19_col1275\" class=\"data row19 col1275\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row19_col1276\" class=\"data row19 col1276\" >2.704000</td>\n",
       "      <td id=\"T_457a2_row19_col1277\" class=\"data row19 col1277\" >2.234000</td>\n",
       "      <td id=\"T_457a2_row19_col1278\" class=\"data row19 col1278\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row19_col1279\" class=\"data row19 col1279\" >2.596000</td>\n",
       "      <td id=\"T_457a2_row19_col1280\" class=\"data row19 col1280\" >2.459000</td>\n",
       "      <td id=\"T_457a2_row19_col1281\" class=\"data row19 col1281\" >3.159000</td>\n",
       "      <td id=\"T_457a2_row19_col1282\" class=\"data row19 col1282\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row19_col1283\" class=\"data row19 col1283\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row19_col1284\" class=\"data row19 col1284\" >3.094000</td>\n",
       "      <td id=\"T_457a2_row19_col1285\" class=\"data row19 col1285\" >2.974000</td>\n",
       "      <td id=\"T_457a2_row19_col1286\" class=\"data row19 col1286\" >2.289000</td>\n",
       "      <td id=\"T_457a2_row19_col1287\" class=\"data row19 col1287\" >2.836000</td>\n",
       "      <td id=\"T_457a2_row19_col1288\" class=\"data row19 col1288\" >3.232000</td>\n",
       "      <td id=\"T_457a2_row19_col1289\" class=\"data row19 col1289\" >3.008000</td>\n",
       "      <td id=\"T_457a2_row19_col1290\" class=\"data row19 col1290\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row19_col1291\" class=\"data row19 col1291\" >2.939000</td>\n",
       "      <td id=\"T_457a2_row19_col1292\" class=\"data row19 col1292\" >3.418000</td>\n",
       "      <td id=\"T_457a2_row19_col1293\" class=\"data row19 col1293\" >3.049000</td>\n",
       "      <td id=\"T_457a2_row19_col1294\" class=\"data row19 col1294\" >3.528000</td>\n",
       "      <td id=\"T_457a2_row19_col1295\" class=\"data row19 col1295\" >3.542000</td>\n",
       "      <td id=\"T_457a2_row19_col1296\" class=\"data row19 col1296\" >3.538000</td>\n",
       "      <td id=\"T_457a2_row19_col1297\" class=\"data row19 col1297\" >3.122000</td>\n",
       "      <td id=\"T_457a2_row19_col1298\" class=\"data row19 col1298\" >2.887000</td>\n",
       "      <td id=\"T_457a2_row19_col1299\" class=\"data row19 col1299\" >2.487000</td>\n",
       "      <td id=\"T_457a2_row19_col1300\" class=\"data row19 col1300\" >2.461000</td>\n",
       "      <td id=\"T_457a2_row19_col1301\" class=\"data row19 col1301\" >2.644000</td>\n",
       "      <td id=\"T_457a2_row19_col1302\" class=\"data row19 col1302\" >2.550000</td>\n",
       "      <td id=\"T_457a2_row19_col1303\" class=\"data row19 col1303\" >2.933000</td>\n",
       "      <td id=\"T_457a2_row19_col1304\" class=\"data row19 col1304\" >2.707000</td>\n",
       "      <td id=\"T_457a2_row19_col1305\" class=\"data row19 col1305\" >2.403000</td>\n",
       "      <td id=\"T_457a2_row19_col1306\" class=\"data row19 col1306\" >3.150000</td>\n",
       "      <td id=\"T_457a2_row19_col1307\" class=\"data row19 col1307\" >2.751000</td>\n",
       "      <td id=\"T_457a2_row19_col1308\" class=\"data row19 col1308\" >3.056000</td>\n",
       "      <td id=\"T_457a2_row19_col1309\" class=\"data row19 col1309\" >2.872000</td>\n",
       "      <td id=\"T_457a2_row19_col1310\" class=\"data row19 col1310\" >2.710000</td>\n",
       "      <td id=\"T_457a2_row19_col1311\" class=\"data row19 col1311\" >2.564000</td>\n",
       "      <td id=\"T_457a2_row19_col1312\" class=\"data row19 col1312\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row19_col1313\" class=\"data row19 col1313\" >2.347000</td>\n",
       "      <td id=\"T_457a2_row19_col1314\" class=\"data row19 col1314\" >2.183000</td>\n",
       "      <td id=\"T_457a2_row19_col1315\" class=\"data row19 col1315\" >2.154000</td>\n",
       "      <td id=\"T_457a2_row19_col1316\" class=\"data row19 col1316\" >2.146000</td>\n",
       "      <td id=\"T_457a2_row19_col1317\" class=\"data row19 col1317\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row19_col1318\" class=\"data row19 col1318\" >2.764000</td>\n",
       "      <td id=\"T_457a2_row19_col1319\" class=\"data row19 col1319\" >2.757000</td>\n",
       "      <td id=\"T_457a2_row19_col1320\" class=\"data row19 col1320\" >3.304000</td>\n",
       "      <td id=\"T_457a2_row19_col1321\" class=\"data row19 col1321\" >2.438000</td>\n",
       "      <td id=\"T_457a2_row19_col1322\" class=\"data row19 col1322\" >3.428000</td>\n",
       "      <td id=\"T_457a2_row19_col1323\" class=\"data row19 col1323\" >2.778000</td>\n",
       "      <td id=\"T_457a2_row19_col1324\" class=\"data row19 col1324\" >2.985000</td>\n",
       "      <td id=\"T_457a2_row19_col1325\" class=\"data row19 col1325\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row19_col1326\" class=\"data row19 col1326\" >3.282000</td>\n",
       "      <td id=\"T_457a2_row19_col1327\" class=\"data row19 col1327\" >2.156000</td>\n",
       "      <td id=\"T_457a2_row19_col1328\" class=\"data row19 col1328\" >2.110000</td>\n",
       "      <td id=\"T_457a2_row19_col1329\" class=\"data row19 col1329\" >2.653000</td>\n",
       "      <td id=\"T_457a2_row19_col1330\" class=\"data row19 col1330\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row19_col1331\" class=\"data row19 col1331\" >2.371000</td>\n",
       "      <td id=\"T_457a2_row19_col1332\" class=\"data row19 col1332\" >2.736000</td>\n",
       "      <td id=\"T_457a2_row19_col1333\" class=\"data row19 col1333\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row19_col1334\" class=\"data row19 col1334\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row19_col1335\" class=\"data row19 col1335\" >2.518000</td>\n",
       "      <td id=\"T_457a2_row19_col1336\" class=\"data row19 col1336\" >2.302000</td>\n",
       "      <td id=\"T_457a2_row19_col1337\" class=\"data row19 col1337\" >2.781000</td>\n",
       "      <td id=\"T_457a2_row19_col1338\" class=\"data row19 col1338\" >2.881000</td>\n",
       "      <td id=\"T_457a2_row19_col1339\" class=\"data row19 col1339\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row19_col1340\" class=\"data row19 col1340\" >2.190000</td>\n",
       "      <td id=\"T_457a2_row19_col1341\" class=\"data row19 col1341\" >2.625000</td>\n",
       "      <td id=\"T_457a2_row19_col1342\" class=\"data row19 col1342\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row19_col1343\" class=\"data row19 col1343\" >2.448000</td>\n",
       "      <td id=\"T_457a2_row19_col1344\" class=\"data row19 col1344\" >2.538000</td>\n",
       "      <td id=\"T_457a2_row19_col1345\" class=\"data row19 col1345\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row19_col1346\" class=\"data row19 col1346\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row19_col1347\" class=\"data row19 col1347\" >2.374000</td>\n",
       "      <td id=\"T_457a2_row19_col1348\" class=\"data row19 col1348\" >2.408000</td>\n",
       "      <td id=\"T_457a2_row19_col1349\" class=\"data row19 col1349\" >2.210000</td>\n",
       "      <td id=\"T_457a2_row19_col1350\" class=\"data row19 col1350\" >2.822000</td>\n",
       "      <td id=\"T_457a2_row19_col1351\" class=\"data row19 col1351\" >2.485000</td>\n",
       "      <td id=\"T_457a2_row19_col1352\" class=\"data row19 col1352\" >2.132000</td>\n",
       "      <td id=\"T_457a2_row19_col1353\" class=\"data row19 col1353\" >2.592000</td>\n",
       "      <td id=\"T_457a2_row19_col1354\" class=\"data row19 col1354\" >2.484000</td>\n",
       "      <td id=\"T_457a2_row19_col1355\" class=\"data row19 col1355\" >3.144000</td>\n",
       "      <td id=\"T_457a2_row19_col1356\" class=\"data row19 col1356\" >2.695000</td>\n",
       "      <td id=\"T_457a2_row19_col1357\" class=\"data row19 col1357\" >3.390000</td>\n",
       "      <td id=\"T_457a2_row19_col1358\" class=\"data row19 col1358\" >2.573000</td>\n",
       "      <td id=\"T_457a2_row19_col1359\" class=\"data row19 col1359\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row19_col1360\" class=\"data row19 col1360\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row19_col1361\" class=\"data row19 col1361\" >3.014000</td>\n",
       "      <td id=\"T_457a2_row19_col1362\" class=\"data row19 col1362\" >3.257000</td>\n",
       "      <td id=\"T_457a2_row19_col1363\" class=\"data row19 col1363\" >2.844000</td>\n",
       "      <td id=\"T_457a2_row19_col1364\" class=\"data row19 col1364\" >3.263000</td>\n",
       "      <td id=\"T_457a2_row19_col1365\" class=\"data row19 col1365\" >2.677000</td>\n",
       "      <td id=\"T_457a2_row19_col1366\" class=\"data row19 col1366\" >2.456000</td>\n",
       "      <td id=\"T_457a2_row19_col1367\" class=\"data row19 col1367\" >2.847000</td>\n",
       "      <td id=\"T_457a2_row19_col1368\" class=\"data row19 col1368\" >3.021000</td>\n",
       "      <td id=\"T_457a2_row19_col1369\" class=\"data row19 col1369\" >3.814000</td>\n",
       "      <td id=\"T_457a2_row19_col1370\" class=\"data row19 col1370\" >2.842000</td>\n",
       "      <td id=\"T_457a2_row19_col1371\" class=\"data row19 col1371\" >2.923000</td>\n",
       "      <td id=\"T_457a2_row19_col1372\" class=\"data row19 col1372\" >3.274000</td>\n",
       "      <td id=\"T_457a2_row19_col1373\" class=\"data row19 col1373\" >3.492000</td>\n",
       "      <td id=\"T_457a2_row19_col1374\" class=\"data row19 col1374\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row19_col1375\" class=\"data row19 col1375\" >4.127000</td>\n",
       "      <td id=\"T_457a2_row19_col1376\" class=\"data row19 col1376\" >2.994000</td>\n",
       "      <td id=\"T_457a2_row19_col1377\" class=\"data row19 col1377\" >2.901000</td>\n",
       "      <td id=\"T_457a2_row19_col1378\" class=\"data row19 col1378\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row19_col1379\" class=\"data row19 col1379\" >2.587000</td>\n",
       "      <td id=\"T_457a2_row19_col1380\" class=\"data row19 col1380\" >2.534000</td>\n",
       "      <td id=\"T_457a2_row19_col1381\" class=\"data row19 col1381\" >3.692000</td>\n",
       "      <td id=\"T_457a2_row19_col1382\" class=\"data row19 col1382\" >1.927000</td>\n",
       "      <td id=\"T_457a2_row19_col1383\" class=\"data row19 col1383\" >3.340000</td>\n",
       "      <td id=\"T_457a2_row19_col1384\" class=\"data row19 col1384\" >3.083000</td>\n",
       "      <td id=\"T_457a2_row19_col1385\" class=\"data row19 col1385\" >3.753000</td>\n",
       "      <td id=\"T_457a2_row19_col1386\" class=\"data row19 col1386\" >3.511000</td>\n",
       "      <td id=\"T_457a2_row19_col1387\" class=\"data row19 col1387\" >2.565000</td>\n",
       "      <td id=\"T_457a2_row19_col1388\" class=\"data row19 col1388\" >3.168000</td>\n",
       "      <td id=\"T_457a2_row19_col1389\" class=\"data row19 col1389\" >3.559000</td>\n",
       "      <td id=\"T_457a2_row19_col1390\" class=\"data row19 col1390\" >2.861000</td>\n",
       "      <td id=\"T_457a2_row19_col1391\" class=\"data row19 col1391\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row19_col1392\" class=\"data row19 col1392\" >2.718000</td>\n",
       "      <td id=\"T_457a2_row19_col1393\" class=\"data row19 col1393\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row19_col1394\" class=\"data row19 col1394\" >3.473000</td>\n",
       "      <td id=\"T_457a2_row19_col1395\" class=\"data row19 col1395\" >3.451000</td>\n",
       "      <td id=\"T_457a2_row19_col1396\" class=\"data row19 col1396\" >3.151000</td>\n",
       "      <td id=\"T_457a2_row19_col1397\" class=\"data row19 col1397\" >3.003000</td>\n",
       "      <td id=\"T_457a2_row19_col1398\" class=\"data row19 col1398\" >3.103000</td>\n",
       "      <td id=\"T_457a2_row19_col1399\" class=\"data row19 col1399\" >2.981000</td>\n",
       "      <td id=\"T_457a2_row19_col1400\" class=\"data row19 col1400\" >3.305000</td>\n",
       "      <td id=\"T_457a2_row19_col1401\" class=\"data row19 col1401\" >3.083000</td>\n",
       "      <td id=\"T_457a2_row19_col1402\" class=\"data row19 col1402\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row19_col1403\" class=\"data row19 col1403\" >2.809000</td>\n",
       "      <td id=\"T_457a2_row19_col1404\" class=\"data row19 col1404\" >2.586000</td>\n",
       "      <td id=\"T_457a2_row19_col1405\" class=\"data row19 col1405\" >2.579000</td>\n",
       "      <td id=\"T_457a2_row19_col1406\" class=\"data row19 col1406\" >2.824000</td>\n",
       "      <td id=\"T_457a2_row19_col1407\" class=\"data row19 col1407\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row19_col1408\" class=\"data row19 col1408\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row19_col1409\" class=\"data row19 col1409\" >2.423000</td>\n",
       "      <td id=\"T_457a2_row19_col1410\" class=\"data row19 col1410\" >2.600000</td>\n",
       "      <td id=\"T_457a2_row19_col1411\" class=\"data row19 col1411\" >3.125000</td>\n",
       "      <td id=\"T_457a2_row19_col1412\" class=\"data row19 col1412\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row19_col1413\" class=\"data row19 col1413\" >2.844000</td>\n",
       "      <td id=\"T_457a2_row19_col1414\" class=\"data row19 col1414\" >2.698000</td>\n",
       "      <td id=\"T_457a2_row19_col1415\" class=\"data row19 col1415\" >3.023000</td>\n",
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       "      <td id=\"T_457a2_row20_col1011\" class=\"data row20 col1011\" >414.990000</td>\n",
       "      <td id=\"T_457a2_row20_col1012\" class=\"data row20 col1012\" >327.020000</td>\n",
       "      <td id=\"T_457a2_row20_col1013\" class=\"data row20 col1013\" >256.050000</td>\n",
       "      <td id=\"T_457a2_row20_col1014\" class=\"data row20 col1014\" >348.910000</td>\n",
       "      <td id=\"T_457a2_row20_col1015\" class=\"data row20 col1015\" >188.300000</td>\n",
       "      <td id=\"T_457a2_row20_col1016\" class=\"data row20 col1016\" >231.670000</td>\n",
       "      <td id=\"T_457a2_row20_col1017\" class=\"data row20 col1017\" >197.340000</td>\n",
       "      <td id=\"T_457a2_row20_col1018\" class=\"data row20 col1018\" >222.820000</td>\n",
       "      <td id=\"T_457a2_row20_col1019\" class=\"data row20 col1019\" >473.540000</td>\n",
       "      <td id=\"T_457a2_row20_col1020\" class=\"data row20 col1020\" >694.270000</td>\n",
       "      <td id=\"T_457a2_row20_col1021\" class=\"data row20 col1021\" >215.030000</td>\n",
       "      <td id=\"T_457a2_row20_col1022\" class=\"data row20 col1022\" >248.790000</td>\n",
       "      <td id=\"T_457a2_row20_col1023\" class=\"data row20 col1023\" >398.530000</td>\n",
       "      <td id=\"T_457a2_row20_col1024\" class=\"data row20 col1024\" >251.540000</td>\n",
       "      <td id=\"T_457a2_row20_col1025\" class=\"data row20 col1025\" >775.160000</td>\n",
       "      <td id=\"T_457a2_row20_col1026\" class=\"data row20 col1026\" >230.880000</td>\n",
       "      <td id=\"T_457a2_row20_col1027\" class=\"data row20 col1027\" >353.110000</td>\n",
       "      <td id=\"T_457a2_row20_col1028\" class=\"data row20 col1028\" >678.670000</td>\n",
       "      <td id=\"T_457a2_row20_col1029\" class=\"data row20 col1029\" >282.310000</td>\n",
       "      <td id=\"T_457a2_row20_col1030\" class=\"data row20 col1030\" >283.360000</td>\n",
       "      <td id=\"T_457a2_row20_col1031\" class=\"data row20 col1031\" >688.970000</td>\n",
       "      <td id=\"T_457a2_row20_col1032\" class=\"data row20 col1032\" >755.450000</td>\n",
       "      <td id=\"T_457a2_row20_col1033\" class=\"data row20 col1033\" >634.270000</td>\n",
       "      <td id=\"T_457a2_row20_col1034\" class=\"data row20 col1034\" >1178.000000</td>\n",
       "      <td id=\"T_457a2_row20_col1035\" class=\"data row20 col1035\" >553.400000</td>\n",
       "      <td id=\"T_457a2_row20_col1036\" class=\"data row20 col1036\" >1096.300000</td>\n",
       "      <td id=\"T_457a2_row20_col1037\" class=\"data row20 col1037\" >1083.600000</td>\n",
       "      <td id=\"T_457a2_row20_col1038\" class=\"data row20 col1038\" >878.860000</td>\n",
       "      <td id=\"T_457a2_row20_col1039\" class=\"data row20 col1039\" >601.600000</td>\n",
       "      <td id=\"T_457a2_row20_col1040\" class=\"data row20 col1040\" >804.840000</td>\n",
       "      <td id=\"T_457a2_row20_col1041\" class=\"data row20 col1041\" >665.000000</td>\n",
       "      <td id=\"T_457a2_row20_col1042\" class=\"data row20 col1042\" >921.350000</td>\n",
       "      <td id=\"T_457a2_row20_col1043\" class=\"data row20 col1043\" >735.080000</td>\n",
       "      <td id=\"T_457a2_row20_col1044\" class=\"data row20 col1044\" >390.150000</td>\n",
       "      <td id=\"T_457a2_row20_col1045\" class=\"data row20 col1045\" >496.300000</td>\n",
       "      <td id=\"T_457a2_row20_col1046\" class=\"data row20 col1046\" >631.260000</td>\n",
       "      <td id=\"T_457a2_row20_col1047\" class=\"data row20 col1047\" >474.010000</td>\n",
       "      <td id=\"T_457a2_row20_col1048\" class=\"data row20 col1048\" >608.790000</td>\n",
       "      <td id=\"T_457a2_row20_col1049\" class=\"data row20 col1049\" >305.200000</td>\n",
       "      <td id=\"T_457a2_row20_col1050\" class=\"data row20 col1050\" >315.740000</td>\n",
       "      <td id=\"T_457a2_row20_col1051\" class=\"data row20 col1051\" >797.690000</td>\n",
       "      <td id=\"T_457a2_row20_col1052\" class=\"data row20 col1052\" >1155.200000</td>\n",
       "      <td id=\"T_457a2_row20_col1053\" class=\"data row20 col1053\" >1128.400000</td>\n",
       "      <td id=\"T_457a2_row20_col1054\" class=\"data row20 col1054\" >829.170000</td>\n",
       "      <td id=\"T_457a2_row20_col1055\" class=\"data row20 col1055\" >135.860000</td>\n",
       "      <td id=\"T_457a2_row20_col1056\" class=\"data row20 col1056\" >384.890000</td>\n",
       "      <td id=\"T_457a2_row20_col1057\" class=\"data row20 col1057\" >237.280000</td>\n",
       "      <td id=\"T_457a2_row20_col1058\" class=\"data row20 col1058\" >234.650000</td>\n",
       "      <td id=\"T_457a2_row20_col1059\" class=\"data row20 col1059\" >130.420000</td>\n",
       "      <td id=\"T_457a2_row20_col1060\" class=\"data row20 col1060\" >334.320000</td>\n",
       "      <td id=\"T_457a2_row20_col1061\" class=\"data row20 col1061\" >311.250000</td>\n",
       "      <td id=\"T_457a2_row20_col1062\" class=\"data row20 col1062\" >268.850000</td>\n",
       "      <td id=\"T_457a2_row20_col1063\" class=\"data row20 col1063\" >299.680000</td>\n",
       "      <td id=\"T_457a2_row20_col1064\" class=\"data row20 col1064\" >226.850000</td>\n",
       "      <td id=\"T_457a2_row20_col1065\" class=\"data row20 col1065\" >207.650000</td>\n",
       "      <td id=\"T_457a2_row20_col1066\" class=\"data row20 col1066\" >384.260000</td>\n",
       "      <td id=\"T_457a2_row20_col1067\" class=\"data row20 col1067\" >176.520000</td>\n",
       "      <td id=\"T_457a2_row20_col1068\" class=\"data row20 col1068\" >218.660000</td>\n",
       "      <td id=\"T_457a2_row20_col1069\" class=\"data row20 col1069\" >435.360000</td>\n",
       "      <td id=\"T_457a2_row20_col1070\" class=\"data row20 col1070\" >328.390000</td>\n",
       "      <td id=\"T_457a2_row20_col1071\" class=\"data row20 col1071\" >196.830000</td>\n",
       "      <td id=\"T_457a2_row20_col1072\" class=\"data row20 col1072\" >422.820000</td>\n",
       "      <td id=\"T_457a2_row20_col1073\" class=\"data row20 col1073\" >703.850000</td>\n",
       "      <td id=\"T_457a2_row20_col1074\" class=\"data row20 col1074\" >511.250000</td>\n",
       "      <td id=\"T_457a2_row20_col1075\" class=\"data row20 col1075\" >636.120000</td>\n",
       "      <td id=\"T_457a2_row20_col1076\" class=\"data row20 col1076\" >231.270000</td>\n",
       "      <td id=\"T_457a2_row20_col1077\" class=\"data row20 col1077\" >330.660000</td>\n",
       "      <td id=\"T_457a2_row20_col1078\" class=\"data row20 col1078\" >434.060000</td>\n",
       "      <td id=\"T_457a2_row20_col1079\" class=\"data row20 col1079\" >585.890000</td>\n",
       "      <td id=\"T_457a2_row20_col1080\" class=\"data row20 col1080\" >519.460000</td>\n",
       "      <td id=\"T_457a2_row20_col1081\" class=\"data row20 col1081\" >351.950000</td>\n",
       "      <td id=\"T_457a2_row20_col1082\" class=\"data row20 col1082\" >321.220000</td>\n",
       "      <td id=\"T_457a2_row20_col1083\" class=\"data row20 col1083\" >222.120000</td>\n",
       "      <td id=\"T_457a2_row20_col1084\" class=\"data row20 col1084\" >1.890000</td>\n",
       "      <td id=\"T_457a2_row20_col1085\" class=\"data row20 col1085\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row20_col1086\" class=\"data row20 col1086\" >2.137000</td>\n",
       "      <td id=\"T_457a2_row20_col1087\" class=\"data row20 col1087\" >2.024000</td>\n",
       "      <td id=\"T_457a2_row20_col1088\" class=\"data row20 col1088\" >2.318000</td>\n",
       "      <td id=\"T_457a2_row20_col1089\" class=\"data row20 col1089\" >2.078000</td>\n",
       "      <td id=\"T_457a2_row20_col1090\" class=\"data row20 col1090\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row20_col1091\" class=\"data row20 col1091\" >2.869000</td>\n",
       "      <td id=\"T_457a2_row20_col1092\" class=\"data row20 col1092\" >1.611000</td>\n",
       "      <td id=\"T_457a2_row20_col1093\" class=\"data row20 col1093\" >2.695000</td>\n",
       "      <td id=\"T_457a2_row20_col1094\" class=\"data row20 col1094\" >2.856000</td>\n",
       "      <td id=\"T_457a2_row20_col1095\" class=\"data row20 col1095\" >3.075000</td>\n",
       "      <td id=\"T_457a2_row20_col1096\" class=\"data row20 col1096\" >2.366000</td>\n",
       "      <td id=\"T_457a2_row20_col1097\" class=\"data row20 col1097\" >2.965000</td>\n",
       "      <td id=\"T_457a2_row20_col1098\" class=\"data row20 col1098\" >2.463000</td>\n",
       "      <td id=\"T_457a2_row20_col1099\" class=\"data row20 col1099\" >2.215000</td>\n",
       "      <td id=\"T_457a2_row20_col1100\" class=\"data row20 col1100\" >2.238000</td>\n",
       "      <td id=\"T_457a2_row20_col1101\" class=\"data row20 col1101\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row20_col1102\" class=\"data row20 col1102\" >2.276000</td>\n",
       "      <td id=\"T_457a2_row20_col1103\" class=\"data row20 col1103\" >2.477000</td>\n",
       "      <td id=\"T_457a2_row20_col1104\" class=\"data row20 col1104\" >3.512000</td>\n",
       "      <td id=\"T_457a2_row20_col1105\" class=\"data row20 col1105\" >2.795000</td>\n",
       "      <td id=\"T_457a2_row20_col1106\" class=\"data row20 col1106\" >2.146000</td>\n",
       "      <td id=\"T_457a2_row20_col1107\" class=\"data row20 col1107\" >2.744000</td>\n",
       "      <td id=\"T_457a2_row20_col1108\" class=\"data row20 col1108\" >3.031000</td>\n",
       "      <td id=\"T_457a2_row20_col1109\" class=\"data row20 col1109\" >3.167000</td>\n",
       "      <td id=\"T_457a2_row20_col1110\" class=\"data row20 col1110\" >2.578000</td>\n",
       "      <td id=\"T_457a2_row20_col1111\" class=\"data row20 col1111\" >2.800000</td>\n",
       "      <td id=\"T_457a2_row20_col1112\" class=\"data row20 col1112\" >2.732000</td>\n",
       "      <td id=\"T_457a2_row20_col1113\" class=\"data row20 col1113\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row20_col1114\" class=\"data row20 col1114\" >2.949000</td>\n",
       "      <td id=\"T_457a2_row20_col1115\" class=\"data row20 col1115\" >3.240000</td>\n",
       "      <td id=\"T_457a2_row20_col1116\" class=\"data row20 col1116\" >3.434000</td>\n",
       "      <td id=\"T_457a2_row20_col1117\" class=\"data row20 col1117\" >3.667000</td>\n",
       "      <td id=\"T_457a2_row20_col1118\" class=\"data row20 col1118\" >2.789000</td>\n",
       "      <td id=\"T_457a2_row20_col1119\" class=\"data row20 col1119\" >2.420000</td>\n",
       "      <td id=\"T_457a2_row20_col1120\" class=\"data row20 col1120\" >2.386000</td>\n",
       "      <td id=\"T_457a2_row20_col1121\" class=\"data row20 col1121\" >2.896000</td>\n",
       "      <td id=\"T_457a2_row20_col1122\" class=\"data row20 col1122\" >2.136000</td>\n",
       "      <td id=\"T_457a2_row20_col1123\" class=\"data row20 col1123\" >3.044000</td>\n",
       "      <td id=\"T_457a2_row20_col1124\" class=\"data row20 col1124\" >2.773000</td>\n",
       "      <td id=\"T_457a2_row20_col1125\" class=\"data row20 col1125\" >2.520000</td>\n",
       "      <td id=\"T_457a2_row20_col1126\" class=\"data row20 col1126\" >3.367000</td>\n",
       "      <td id=\"T_457a2_row20_col1127\" class=\"data row20 col1127\" >2.845000</td>\n",
       "      <td id=\"T_457a2_row20_col1128\" class=\"data row20 col1128\" >2.352000</td>\n",
       "      <td id=\"T_457a2_row20_col1129\" class=\"data row20 col1129\" >3.053000</td>\n",
       "      <td id=\"T_457a2_row20_col1130\" class=\"data row20 col1130\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row20_col1131\" class=\"data row20 col1131\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row20_col1132\" class=\"data row20 col1132\" >2.479000</td>\n",
       "      <td id=\"T_457a2_row20_col1133\" class=\"data row20 col1133\" >2.082000</td>\n",
       "      <td id=\"T_457a2_row20_col1134\" class=\"data row20 col1134\" >2.435000</td>\n",
       "      <td id=\"T_457a2_row20_col1135\" class=\"data row20 col1135\" >2.365000</td>\n",
       "      <td id=\"T_457a2_row20_col1136\" class=\"data row20 col1136\" >2.086000</td>\n",
       "      <td id=\"T_457a2_row20_col1137\" class=\"data row20 col1137\" >3.112000</td>\n",
       "      <td id=\"T_457a2_row20_col1138\" class=\"data row20 col1138\" >2.672000</td>\n",
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       "      <td id=\"T_457a2_row20_col1141\" class=\"data row20 col1141\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row20_col1142\" class=\"data row20 col1142\" >3.142000</td>\n",
       "      <td id=\"T_457a2_row20_col1143\" class=\"data row20 col1143\" >3.201000</td>\n",
       "      <td id=\"T_457a2_row20_col1144\" class=\"data row20 col1144\" >3.151000</td>\n",
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       "      <td id=\"T_457a2_row20_col1150\" class=\"data row20 col1150\" >3.149000</td>\n",
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       "      <td id=\"T_457a2_row20_col1169\" class=\"data row20 col1169\" >2.305000</td>\n",
       "      <td id=\"T_457a2_row20_col1170\" class=\"data row20 col1170\" >2.713000</td>\n",
       "      <td id=\"T_457a2_row20_col1171\" class=\"data row20 col1171\" >2.662000</td>\n",
       "      <td id=\"T_457a2_row20_col1172\" class=\"data row20 col1172\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row20_col1173\" class=\"data row20 col1173\" >3.234000</td>\n",
       "      <td id=\"T_457a2_row20_col1174\" class=\"data row20 col1174\" >2.938000</td>\n",
       "      <td id=\"T_457a2_row20_col1175\" class=\"data row20 col1175\" >2.924000</td>\n",
       "      <td id=\"T_457a2_row20_col1176\" class=\"data row20 col1176\" >1.897000</td>\n",
       "      <td id=\"T_457a2_row20_col1177\" class=\"data row20 col1177\" >3.180000</td>\n",
       "      <td id=\"T_457a2_row20_col1178\" class=\"data row20 col1178\" >2.501000</td>\n",
       "      <td id=\"T_457a2_row20_col1179\" class=\"data row20 col1179\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row20_col1180\" class=\"data row20 col1180\" >2.881000</td>\n",
       "      <td id=\"T_457a2_row20_col1181\" class=\"data row20 col1181\" >2.990000</td>\n",
       "      <td id=\"T_457a2_row20_col1182\" class=\"data row20 col1182\" >2.709000</td>\n",
       "      <td id=\"T_457a2_row20_col1183\" class=\"data row20 col1183\" >3.216000</td>\n",
       "      <td id=\"T_457a2_row20_col1184\" class=\"data row20 col1184\" >2.475000</td>\n",
       "      <td id=\"T_457a2_row20_col1185\" class=\"data row20 col1185\" >2.836000</td>\n",
       "      <td id=\"T_457a2_row20_col1186\" class=\"data row20 col1186\" >2.766000</td>\n",
       "      <td id=\"T_457a2_row20_col1187\" class=\"data row20 col1187\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row20_col1188\" class=\"data row20 col1188\" >3.000000</td>\n",
       "      <td id=\"T_457a2_row20_col1189\" class=\"data row20 col1189\" >3.759000</td>\n",
       "      <td id=\"T_457a2_row20_col1190\" class=\"data row20 col1190\" >3.611000</td>\n",
       "      <td id=\"T_457a2_row20_col1191\" class=\"data row20 col1191\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row20_col1192\" class=\"data row20 col1192\" >3.492000</td>\n",
       "      <td id=\"T_457a2_row20_col1193\" class=\"data row20 col1193\" >3.084000</td>\n",
       "      <td id=\"T_457a2_row20_col1194\" class=\"data row20 col1194\" >3.469000</td>\n",
       "      <td id=\"T_457a2_row20_col1195\" class=\"data row20 col1195\" >4.016000</td>\n",
       "      <td id=\"T_457a2_row20_col1196\" class=\"data row20 col1196\" >3.270000</td>\n",
       "      <td id=\"T_457a2_row20_col1197\" class=\"data row20 col1197\" >2.793000</td>\n",
       "      <td id=\"T_457a2_row20_col1198\" class=\"data row20 col1198\" >3.226000</td>\n",
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       "      <td id=\"T_457a2_row20_col1200\" class=\"data row20 col1200\" >2.452000</td>\n",
       "      <td id=\"T_457a2_row20_col1201\" class=\"data row20 col1201\" >3.369000</td>\n",
       "      <td id=\"T_457a2_row20_col1202\" class=\"data row20 col1202\" >2.447000</td>\n",
       "      <td id=\"T_457a2_row20_col1203\" class=\"data row20 col1203\" >2.039000</td>\n",
       "      <td id=\"T_457a2_row20_col1204\" class=\"data row20 col1204\" >2.295000</td>\n",
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       "      <td id=\"T_457a2_row20_col1206\" class=\"data row20 col1206\" >3.648000</td>\n",
       "      <td id=\"T_457a2_row20_col1207\" class=\"data row20 col1207\" >2.613000</td>\n",
       "      <td id=\"T_457a2_row20_col1208\" class=\"data row20 col1208\" >3.165000</td>\n",
       "      <td id=\"T_457a2_row20_col1209\" class=\"data row20 col1209\" >2.815000</td>\n",
       "      <td id=\"T_457a2_row20_col1210\" class=\"data row20 col1210\" >2.675000</td>\n",
       "      <td id=\"T_457a2_row20_col1211\" class=\"data row20 col1211\" >3.122000</td>\n",
       "      <td id=\"T_457a2_row20_col1212\" class=\"data row20 col1212\" >2.740000</td>\n",
       "      <td id=\"T_457a2_row20_col1213\" class=\"data row20 col1213\" >2.959000</td>\n",
       "      <td id=\"T_457a2_row20_col1214\" class=\"data row20 col1214\" >3.836000</td>\n",
       "      <td id=\"T_457a2_row20_col1215\" class=\"data row20 col1215\" >3.343000</td>\n",
       "      <td id=\"T_457a2_row20_col1216\" class=\"data row20 col1216\" >3.452000</td>\n",
       "      <td id=\"T_457a2_row20_col1217\" class=\"data row20 col1217\" >2.792000</td>\n",
       "      <td id=\"T_457a2_row20_col1218\" class=\"data row20 col1218\" >3.302000</td>\n",
       "      <td id=\"T_457a2_row20_col1219\" class=\"data row20 col1219\" >2.876000</td>\n",
       "      <td id=\"T_457a2_row20_col1220\" class=\"data row20 col1220\" >3.405000</td>\n",
       "      <td id=\"T_457a2_row20_col1221\" class=\"data row20 col1221\" >2.876000</td>\n",
       "      <td id=\"T_457a2_row20_col1222\" class=\"data row20 col1222\" >2.656000</td>\n",
       "      <td id=\"T_457a2_row20_col1223\" class=\"data row20 col1223\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row20_col1224\" class=\"data row20 col1224\" >2.245000</td>\n",
       "      <td id=\"T_457a2_row20_col1225\" class=\"data row20 col1225\" >2.269000</td>\n",
       "      <td id=\"T_457a2_row20_col1226\" class=\"data row20 col1226\" >2.998000</td>\n",
       "      <td id=\"T_457a2_row20_col1227\" class=\"data row20 col1227\" >2.422000</td>\n",
       "      <td id=\"T_457a2_row20_col1228\" class=\"data row20 col1228\" >2.396000</td>\n",
       "      <td id=\"T_457a2_row20_col1229\" class=\"data row20 col1229\" >2.479000</td>\n",
       "      <td id=\"T_457a2_row20_col1230\" class=\"data row20 col1230\" >2.920000</td>\n",
       "      <td id=\"T_457a2_row20_col1231\" class=\"data row20 col1231\" >3.073000</td>\n",
       "      <td id=\"T_457a2_row20_col1232\" class=\"data row20 col1232\" >2.781000</td>\n",
       "      <td id=\"T_457a2_row20_col1233\" class=\"data row20 col1233\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row20_col1234\" class=\"data row20 col1234\" >2.838000</td>\n",
       "      <td id=\"T_457a2_row20_col1235\" class=\"data row20 col1235\" >2.445000</td>\n",
       "      <td id=\"T_457a2_row20_col1236\" class=\"data row20 col1236\" >2.548000</td>\n",
       "      <td id=\"T_457a2_row20_col1237\" class=\"data row20 col1237\" >2.627000</td>\n",
       "      <td id=\"T_457a2_row20_col1238\" class=\"data row20 col1238\" >2.549000</td>\n",
       "      <td id=\"T_457a2_row20_col1239\" class=\"data row20 col1239\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row20_col1240\" class=\"data row20 col1240\" >2.554000</td>\n",
       "      <td id=\"T_457a2_row20_col1241\" class=\"data row20 col1241\" >2.790000</td>\n",
       "      <td id=\"T_457a2_row20_col1242\" class=\"data row20 col1242\" >2.667000</td>\n",
       "      <td id=\"T_457a2_row20_col1243\" class=\"data row20 col1243\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row20_col1244\" class=\"data row20 col1244\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row20_col1245\" class=\"data row20 col1245\" >2.896000</td>\n",
       "      <td id=\"T_457a2_row20_col1246\" class=\"data row20 col1246\" >3.142000</td>\n",
       "      <td id=\"T_457a2_row20_col1247\" class=\"data row20 col1247\" >3.170000</td>\n",
       "      <td id=\"T_457a2_row20_col1248\" class=\"data row20 col1248\" >2.540000</td>\n",
       "      <td id=\"T_457a2_row20_col1249\" class=\"data row20 col1249\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row20_col1250\" class=\"data row20 col1250\" >3.806000</td>\n",
       "      <td id=\"T_457a2_row20_col1251\" class=\"data row20 col1251\" >2.962000</td>\n",
       "      <td id=\"T_457a2_row20_col1252\" class=\"data row20 col1252\" >2.756000</td>\n",
       "      <td id=\"T_457a2_row20_col1253\" class=\"data row20 col1253\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row20_col1254\" class=\"data row20 col1254\" >2.360000</td>\n",
       "      <td id=\"T_457a2_row20_col1255\" class=\"data row20 col1255\" >3.149000</td>\n",
       "      <td id=\"T_457a2_row20_col1256\" class=\"data row20 col1256\" >3.184000</td>\n",
       "      <td id=\"T_457a2_row20_col1257\" class=\"data row20 col1257\" >2.668000</td>\n",
       "      <td id=\"T_457a2_row20_col1258\" class=\"data row20 col1258\" >3.028000</td>\n",
       "      <td id=\"T_457a2_row20_col1259\" class=\"data row20 col1259\" >2.893000</td>\n",
       "      <td id=\"T_457a2_row20_col1260\" class=\"data row20 col1260\" >3.041000</td>\n",
       "      <td id=\"T_457a2_row20_col1261\" class=\"data row20 col1261\" >3.094000</td>\n",
       "      <td id=\"T_457a2_row20_col1262\" class=\"data row20 col1262\" >3.406000</td>\n",
       "      <td id=\"T_457a2_row20_col1263\" class=\"data row20 col1263\" >3.530000</td>\n",
       "      <td id=\"T_457a2_row20_col1264\" class=\"data row20 col1264\" >1.775000</td>\n",
       "      <td id=\"T_457a2_row20_col1265\" class=\"data row20 col1265\" >2.162000</td>\n",
       "      <td id=\"T_457a2_row20_col1266\" class=\"data row20 col1266\" >2.034000</td>\n",
       "      <td id=\"T_457a2_row20_col1267\" class=\"data row20 col1267\" >2.000000</td>\n",
       "      <td id=\"T_457a2_row20_col1268\" class=\"data row20 col1268\" >2.215000</td>\n",
       "      <td id=\"T_457a2_row20_col1269\" class=\"data row20 col1269\" >2.328000</td>\n",
       "      <td id=\"T_457a2_row20_col1270\" class=\"data row20 col1270\" >2.962000</td>\n",
       "      <td id=\"T_457a2_row20_col1271\" class=\"data row20 col1271\" >2.708000</td>\n",
       "      <td id=\"T_457a2_row20_col1272\" class=\"data row20 col1272\" >1.555000</td>\n",
       "      <td id=\"T_457a2_row20_col1273\" class=\"data row20 col1273\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row20_col1274\" class=\"data row20 col1274\" >2.624000</td>\n",
       "      <td id=\"T_457a2_row20_col1275\" class=\"data row20 col1275\" >3.199000</td>\n",
       "      <td id=\"T_457a2_row20_col1276\" class=\"data row20 col1276\" >2.312000</td>\n",
       "      <td id=\"T_457a2_row20_col1277\" class=\"data row20 col1277\" >2.502000</td>\n",
       "      <td id=\"T_457a2_row20_col1278\" class=\"data row20 col1278\" >2.423000</td>\n",
       "      <td id=\"T_457a2_row20_col1279\" class=\"data row20 col1279\" >1.953000</td>\n",
       "      <td id=\"T_457a2_row20_col1280\" class=\"data row20 col1280\" >2.143000</td>\n",
       "      <td id=\"T_457a2_row20_col1281\" class=\"data row20 col1281\" >3.019000</td>\n",
       "      <td id=\"T_457a2_row20_col1282\" class=\"data row20 col1282\" >2.188000</td>\n",
       "      <td id=\"T_457a2_row20_col1283\" class=\"data row20 col1283\" >2.089000</td>\n",
       "      <td id=\"T_457a2_row20_col1284\" class=\"data row20 col1284\" >2.780000</td>\n",
       "      <td id=\"T_457a2_row20_col1285\" class=\"data row20 col1285\" >2.904000</td>\n",
       "      <td id=\"T_457a2_row20_col1286\" class=\"data row20 col1286\" >2.540000</td>\n",
       "      <td id=\"T_457a2_row20_col1287\" class=\"data row20 col1287\" >2.579000</td>\n",
       "      <td id=\"T_457a2_row20_col1288\" class=\"data row20 col1288\" >3.170000</td>\n",
       "      <td id=\"T_457a2_row20_col1289\" class=\"data row20 col1289\" >3.349000</td>\n",
       "      <td id=\"T_457a2_row20_col1290\" class=\"data row20 col1290\" >2.748000</td>\n",
       "      <td id=\"T_457a2_row20_col1291\" class=\"data row20 col1291\" >2.646000</td>\n",
       "      <td id=\"T_457a2_row20_col1292\" class=\"data row20 col1292\" >2.015000</td>\n",
       "      <td id=\"T_457a2_row20_col1293\" class=\"data row20 col1293\" >2.735000</td>\n",
       "      <td id=\"T_457a2_row20_col1294\" class=\"data row20 col1294\" >3.034000</td>\n",
       "      <td id=\"T_457a2_row20_col1295\" class=\"data row20 col1295\" >3.239000</td>\n",
       "      <td id=\"T_457a2_row20_col1296\" class=\"data row20 col1296\" >3.017000</td>\n",
       "      <td id=\"T_457a2_row20_col1297\" class=\"data row20 col1297\" >3.324000</td>\n",
       "      <td id=\"T_457a2_row20_col1298\" class=\"data row20 col1298\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row20_col1299\" class=\"data row20 col1299\" >2.445000</td>\n",
       "      <td id=\"T_457a2_row20_col1300\" class=\"data row20 col1300\" >2.456000</td>\n",
       "      <td id=\"T_457a2_row20_col1301\" class=\"data row20 col1301\" >2.877000</td>\n",
       "      <td id=\"T_457a2_row20_col1302\" class=\"data row20 col1302\" >2.545000</td>\n",
       "      <td id=\"T_457a2_row20_col1303\" class=\"data row20 col1303\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row20_col1304\" class=\"data row20 col1304\" >2.801000</td>\n",
       "      <td id=\"T_457a2_row20_col1305\" class=\"data row20 col1305\" >2.278000</td>\n",
       "      <td id=\"T_457a2_row20_col1306\" class=\"data row20 col1306\" >2.844000</td>\n",
       "      <td id=\"T_457a2_row20_col1307\" class=\"data row20 col1307\" >2.897000</td>\n",
       "      <td id=\"T_457a2_row20_col1308\" class=\"data row20 col1308\" >2.684000</td>\n",
       "      <td id=\"T_457a2_row20_col1309\" class=\"data row20 col1309\" >2.638000</td>\n",
       "      <td id=\"T_457a2_row20_col1310\" class=\"data row20 col1310\" >2.636000</td>\n",
       "      <td id=\"T_457a2_row20_col1311\" class=\"data row20 col1311\" >2.149000</td>\n",
       "      <td id=\"T_457a2_row20_col1312\" class=\"data row20 col1312\" >2.428000</td>\n",
       "      <td id=\"T_457a2_row20_col1313\" class=\"data row20 col1313\" >2.148000</td>\n",
       "      <td id=\"T_457a2_row20_col1314\" class=\"data row20 col1314\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row20_col1315\" class=\"data row20 col1315\" >2.254000</td>\n",
       "      <td id=\"T_457a2_row20_col1316\" class=\"data row20 col1316\" >2.064000</td>\n",
       "      <td id=\"T_457a2_row20_col1317\" class=\"data row20 col1317\" >2.818000</td>\n",
       "      <td id=\"T_457a2_row20_col1318\" class=\"data row20 col1318\" >2.808000</td>\n",
       "      <td id=\"T_457a2_row20_col1319\" class=\"data row20 col1319\" >3.167000</td>\n",
       "      <td id=\"T_457a2_row20_col1320\" class=\"data row20 col1320\" >3.235000</td>\n",
       "      <td id=\"T_457a2_row20_col1321\" class=\"data row20 col1321\" >2.516000</td>\n",
       "      <td id=\"T_457a2_row20_col1322\" class=\"data row20 col1322\" >3.094000</td>\n",
       "      <td id=\"T_457a2_row20_col1323\" class=\"data row20 col1323\" >3.249000</td>\n",
       "      <td id=\"T_457a2_row20_col1324\" class=\"data row20 col1324\" >3.147000</td>\n",
       "      <td id=\"T_457a2_row20_col1325\" class=\"data row20 col1325\" >3.082000</td>\n",
       "      <td id=\"T_457a2_row20_col1326\" class=\"data row20 col1326\" >3.410000</td>\n",
       "      <td id=\"T_457a2_row20_col1327\" class=\"data row20 col1327\" >2.467000</td>\n",
       "      <td id=\"T_457a2_row20_col1328\" class=\"data row20 col1328\" >2.783000</td>\n",
       "      <td id=\"T_457a2_row20_col1329\" class=\"data row20 col1329\" >2.834000</td>\n",
       "      <td id=\"T_457a2_row20_col1330\" class=\"data row20 col1330\" >3.055000</td>\n",
       "      <td id=\"T_457a2_row20_col1331\" class=\"data row20 col1331\" >2.619000</td>\n",
       "      <td id=\"T_457a2_row20_col1332\" class=\"data row20 col1332\" >3.078000</td>\n",
       "      <td id=\"T_457a2_row20_col1333\" class=\"data row20 col1333\" >3.407000</td>\n",
       "      <td id=\"T_457a2_row20_col1334\" class=\"data row20 col1334\" >2.814000</td>\n",
       "      <td id=\"T_457a2_row20_col1335\" class=\"data row20 col1335\" >3.133000</td>\n",
       "      <td id=\"T_457a2_row20_col1336\" class=\"data row20 col1336\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row20_col1337\" class=\"data row20 col1337\" >2.998000</td>\n",
       "      <td id=\"T_457a2_row20_col1338\" class=\"data row20 col1338\" >2.863000</td>\n",
       "      <td id=\"T_457a2_row20_col1339\" class=\"data row20 col1339\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row20_col1340\" class=\"data row20 col1340\" >2.615000</td>\n",
       "      <td id=\"T_457a2_row20_col1341\" class=\"data row20 col1341\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row20_col1342\" class=\"data row20 col1342\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row20_col1343\" class=\"data row20 col1343\" >2.603000</td>\n",
       "      <td id=\"T_457a2_row20_col1344\" class=\"data row20 col1344\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row20_col1345\" class=\"data row20 col1345\" >2.732000</td>\n",
       "      <td id=\"T_457a2_row20_col1346\" class=\"data row20 col1346\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row20_col1347\" class=\"data row20 col1347\" >2.469000</td>\n",
       "      <td id=\"T_457a2_row20_col1348\" class=\"data row20 col1348\" >2.704000</td>\n",
       "      <td id=\"T_457a2_row20_col1349\" class=\"data row20 col1349\" >2.498000</td>\n",
       "      <td id=\"T_457a2_row20_col1350\" class=\"data row20 col1350\" >2.594000</td>\n",
       "      <td id=\"T_457a2_row20_col1351\" class=\"data row20 col1351\" >3.138000</td>\n",
       "      <td id=\"T_457a2_row20_col1352\" class=\"data row20 col1352\" >2.368000</td>\n",
       "      <td id=\"T_457a2_row20_col1353\" class=\"data row20 col1353\" >3.384000</td>\n",
       "      <td id=\"T_457a2_row20_col1354\" class=\"data row20 col1354\" >2.837000</td>\n",
       "      <td id=\"T_457a2_row20_col1355\" class=\"data row20 col1355\" >2.831000</td>\n",
       "      <td id=\"T_457a2_row20_col1356\" class=\"data row20 col1356\" >2.243000</td>\n",
       "      <td id=\"T_457a2_row20_col1357\" class=\"data row20 col1357\" >3.284000</td>\n",
       "      <td id=\"T_457a2_row20_col1358\" class=\"data row20 col1358\" >2.242000</td>\n",
       "      <td id=\"T_457a2_row20_col1359\" class=\"data row20 col1359\" >2.747000</td>\n",
       "      <td id=\"T_457a2_row20_col1360\" class=\"data row20 col1360\" >2.892000</td>\n",
       "      <td id=\"T_457a2_row20_col1361\" class=\"data row20 col1361\" >2.978000</td>\n",
       "      <td id=\"T_457a2_row20_col1362\" class=\"data row20 col1362\" >3.316000</td>\n",
       "      <td id=\"T_457a2_row20_col1363\" class=\"data row20 col1363\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row20_col1364\" class=\"data row20 col1364\" >2.492000</td>\n",
       "      <td id=\"T_457a2_row20_col1365\" class=\"data row20 col1365\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row20_col1366\" class=\"data row20 col1366\" >2.697000</td>\n",
       "      <td id=\"T_457a2_row20_col1367\" class=\"data row20 col1367\" >2.629000</td>\n",
       "      <td id=\"T_457a2_row20_col1368\" class=\"data row20 col1368\" >2.919000</td>\n",
       "      <td id=\"T_457a2_row20_col1369\" class=\"data row20 col1369\" >4.040000</td>\n",
       "      <td id=\"T_457a2_row20_col1370\" class=\"data row20 col1370\" >3.183000</td>\n",
       "      <td id=\"T_457a2_row20_col1371\" class=\"data row20 col1371\" >3.202000</td>\n",
       "      <td id=\"T_457a2_row20_col1372\" class=\"data row20 col1372\" >3.451000</td>\n",
       "      <td id=\"T_457a2_row20_col1373\" class=\"data row20 col1373\" >3.354000</td>\n",
       "      <td id=\"T_457a2_row20_col1374\" class=\"data row20 col1374\" >3.328000</td>\n",
       "      <td id=\"T_457a2_row20_col1375\" class=\"data row20 col1375\" >4.036000</td>\n",
       "      <td id=\"T_457a2_row20_col1376\" class=\"data row20 col1376\" >3.365000</td>\n",
       "      <td id=\"T_457a2_row20_col1377\" class=\"data row20 col1377\" >2.870000</td>\n",
       "      <td id=\"T_457a2_row20_col1378\" class=\"data row20 col1378\" >2.663000</td>\n",
       "      <td id=\"T_457a2_row20_col1379\" class=\"data row20 col1379\" >2.948000</td>\n",
       "      <td id=\"T_457a2_row20_col1380\" class=\"data row20 col1380\" >2.482000</td>\n",
       "      <td id=\"T_457a2_row20_col1381\" class=\"data row20 col1381\" >3.536000</td>\n",
       "      <td id=\"T_457a2_row20_col1382\" class=\"data row20 col1382\" >2.370000</td>\n",
       "      <td id=\"T_457a2_row20_col1383\" class=\"data row20 col1383\" >2.362000</td>\n",
       "      <td id=\"T_457a2_row20_col1384\" class=\"data row20 col1384\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row20_col1385\" class=\"data row20 col1385\" >3.086000</td>\n",
       "      <td id=\"T_457a2_row20_col1386\" class=\"data row20 col1386\" >3.802000</td>\n",
       "      <td id=\"T_457a2_row20_col1387\" class=\"data row20 col1387\" >2.957000</td>\n",
       "      <td id=\"T_457a2_row20_col1388\" class=\"data row20 col1388\" >2.904000</td>\n",
       "      <td id=\"T_457a2_row20_col1389\" class=\"data row20 col1389\" >2.903000</td>\n",
       "      <td id=\"T_457a2_row20_col1390\" class=\"data row20 col1390\" >2.671000</td>\n",
       "      <td id=\"T_457a2_row20_col1391\" class=\"data row20 col1391\" >3.090000</td>\n",
       "      <td id=\"T_457a2_row20_col1392\" class=\"data row20 col1392\" >2.843000</td>\n",
       "      <td id=\"T_457a2_row20_col1393\" class=\"data row20 col1393\" >3.244000</td>\n",
       "      <td id=\"T_457a2_row20_col1394\" class=\"data row20 col1394\" >3.873000</td>\n",
       "      <td id=\"T_457a2_row20_col1395\" class=\"data row20 col1395\" >3.726000</td>\n",
       "      <td id=\"T_457a2_row20_col1396\" class=\"data row20 col1396\" >3.059000</td>\n",
       "      <td id=\"T_457a2_row20_col1397\" class=\"data row20 col1397\" >2.965000</td>\n",
       "      <td id=\"T_457a2_row20_col1398\" class=\"data row20 col1398\" >2.650000</td>\n",
       "      <td id=\"T_457a2_row20_col1399\" class=\"data row20 col1399\" >2.672000</td>\n",
       "      <td id=\"T_457a2_row20_col1400\" class=\"data row20 col1400\" >3.181000</td>\n",
       "      <td id=\"T_457a2_row20_col1401\" class=\"data row20 col1401\" >2.797000</td>\n",
       "      <td id=\"T_457a2_row20_col1402\" class=\"data row20 col1402\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row20_col1403\" class=\"data row20 col1403\" >2.983000</td>\n",
       "      <td id=\"T_457a2_row20_col1404\" class=\"data row20 col1404\" >2.385000</td>\n",
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       "      <td id=\"T_457a2_row21_col1000\" class=\"data row21 col1000\" >444.590000</td>\n",
       "      <td id=\"T_457a2_row21_col1001\" class=\"data row21 col1001\" >285.720000</td>\n",
       "      <td id=\"T_457a2_row21_col1002\" class=\"data row21 col1002\" >325.970000</td>\n",
       "      <td id=\"T_457a2_row21_col1003\" class=\"data row21 col1003\" >550.260000</td>\n",
       "      <td id=\"T_457a2_row21_col1004\" class=\"data row21 col1004\" >227.810000</td>\n",
       "      <td id=\"T_457a2_row21_col1005\" class=\"data row21 col1005\" >250.130000</td>\n",
       "      <td id=\"T_457a2_row21_col1006\" class=\"data row21 col1006\" >112.700000</td>\n",
       "      <td id=\"T_457a2_row21_col1007\" class=\"data row21 col1007\" >369.470000</td>\n",
       "      <td id=\"T_457a2_row21_col1008\" class=\"data row21 col1008\" >293.600000</td>\n",
       "      <td id=\"T_457a2_row21_col1009\" class=\"data row21 col1009\" >283.530000</td>\n",
       "      <td id=\"T_457a2_row21_col1010\" class=\"data row21 col1010\" >228.880000</td>\n",
       "      <td id=\"T_457a2_row21_col1011\" class=\"data row21 col1011\" >385.580000</td>\n",
       "      <td id=\"T_457a2_row21_col1012\" class=\"data row21 col1012\" >210.900000</td>\n",
       "      <td id=\"T_457a2_row21_col1013\" class=\"data row21 col1013\" >284.520000</td>\n",
       "      <td id=\"T_457a2_row21_col1014\" class=\"data row21 col1014\" >360.110000</td>\n",
       "      <td id=\"T_457a2_row21_col1015\" class=\"data row21 col1015\" >196.350000</td>\n",
       "      <td id=\"T_457a2_row21_col1016\" class=\"data row21 col1016\" >199.190000</td>\n",
       "      <td id=\"T_457a2_row21_col1017\" class=\"data row21 col1017\" >158.910000</td>\n",
       "      <td id=\"T_457a2_row21_col1018\" class=\"data row21 col1018\" >170.470000</td>\n",
       "      <td id=\"T_457a2_row21_col1019\" class=\"data row21 col1019\" >492.170000</td>\n",
       "      <td id=\"T_457a2_row21_col1020\" class=\"data row21 col1020\" >621.270000</td>\n",
       "      <td id=\"T_457a2_row21_col1021\" class=\"data row21 col1021\" >166.830000</td>\n",
       "      <td id=\"T_457a2_row21_col1022\" class=\"data row21 col1022\" >194.290000</td>\n",
       "      <td id=\"T_457a2_row21_col1023\" class=\"data row21 col1023\" >354.750000</td>\n",
       "      <td id=\"T_457a2_row21_col1024\" class=\"data row21 col1024\" >297.740000</td>\n",
       "      <td id=\"T_457a2_row21_col1025\" class=\"data row21 col1025\" >477.370000</td>\n",
       "      <td id=\"T_457a2_row21_col1026\" class=\"data row21 col1026\" >144.540000</td>\n",
       "      <td id=\"T_457a2_row21_col1027\" class=\"data row21 col1027\" >380.990000</td>\n",
       "      <td id=\"T_457a2_row21_col1028\" class=\"data row21 col1028\" >530.660000</td>\n",
       "      <td id=\"T_457a2_row21_col1029\" class=\"data row21 col1029\" >199.250000</td>\n",
       "      <td id=\"T_457a2_row21_col1030\" class=\"data row21 col1030\" >204.490000</td>\n",
       "      <td id=\"T_457a2_row21_col1031\" class=\"data row21 col1031\" >434.350000</td>\n",
       "      <td id=\"T_457a2_row21_col1032\" class=\"data row21 col1032\" >562.300000</td>\n",
       "      <td id=\"T_457a2_row21_col1033\" class=\"data row21 col1033\" >453.070000</td>\n",
       "      <td id=\"T_457a2_row21_col1034\" class=\"data row21 col1034\" >950.370000</td>\n",
       "      <td id=\"T_457a2_row21_col1035\" class=\"data row21 col1035\" >378.010000</td>\n",
       "      <td id=\"T_457a2_row21_col1036\" class=\"data row21 col1036\" >680.980000</td>\n",
       "      <td id=\"T_457a2_row21_col1037\" class=\"data row21 col1037\" >846.950000</td>\n",
       "      <td id=\"T_457a2_row21_col1038\" class=\"data row21 col1038\" >808.700000</td>\n",
       "      <td id=\"T_457a2_row21_col1039\" class=\"data row21 col1039\" >733.280000</td>\n",
       "      <td id=\"T_457a2_row21_col1040\" class=\"data row21 col1040\" >509.440000</td>\n",
       "      <td id=\"T_457a2_row21_col1041\" class=\"data row21 col1041\" >731.360000</td>\n",
       "      <td id=\"T_457a2_row21_col1042\" class=\"data row21 col1042\" >753.730000</td>\n",
       "      <td id=\"T_457a2_row21_col1043\" class=\"data row21 col1043\" >538.650000</td>\n",
       "      <td id=\"T_457a2_row21_col1044\" class=\"data row21 col1044\" >328.410000</td>\n",
       "      <td id=\"T_457a2_row21_col1045\" class=\"data row21 col1045\" >324.190000</td>\n",
       "      <td id=\"T_457a2_row21_col1046\" class=\"data row21 col1046\" >478.790000</td>\n",
       "      <td id=\"T_457a2_row21_col1047\" class=\"data row21 col1047\" >462.790000</td>\n",
       "      <td id=\"T_457a2_row21_col1048\" class=\"data row21 col1048\" >564.810000</td>\n",
       "      <td id=\"T_457a2_row21_col1049\" class=\"data row21 col1049\" >203.130000</td>\n",
       "      <td id=\"T_457a2_row21_col1050\" class=\"data row21 col1050\" >253.450000</td>\n",
       "      <td id=\"T_457a2_row21_col1051\" class=\"data row21 col1051\" >885.590000</td>\n",
       "      <td id=\"T_457a2_row21_col1052\" class=\"data row21 col1052\" >1579.200000</td>\n",
       "      <td id=\"T_457a2_row21_col1053\" class=\"data row21 col1053\" >1286.500000</td>\n",
       "      <td id=\"T_457a2_row21_col1054\" class=\"data row21 col1054\" >836.990000</td>\n",
       "      <td id=\"T_457a2_row21_col1055\" class=\"data row21 col1055\" >122.440000</td>\n",
       "      <td id=\"T_457a2_row21_col1056\" class=\"data row21 col1056\" >282.020000</td>\n",
       "      <td id=\"T_457a2_row21_col1057\" class=\"data row21 col1057\" >208.150000</td>\n",
       "      <td id=\"T_457a2_row21_col1058\" class=\"data row21 col1058\" >179.240000</td>\n",
       "      <td id=\"T_457a2_row21_col1059\" class=\"data row21 col1059\" >141.610000</td>\n",
       "      <td id=\"T_457a2_row21_col1060\" class=\"data row21 col1060\" >410.940000</td>\n",
       "      <td id=\"T_457a2_row21_col1061\" class=\"data row21 col1061\" >213.200000</td>\n",
       "      <td id=\"T_457a2_row21_col1062\" class=\"data row21 col1062\" >178.680000</td>\n",
       "      <td id=\"T_457a2_row21_col1063\" class=\"data row21 col1063\" >186.970000</td>\n",
       "      <td id=\"T_457a2_row21_col1064\" class=\"data row21 col1064\" >172.750000</td>\n",
       "      <td id=\"T_457a2_row21_col1065\" class=\"data row21 col1065\" >102.730000</td>\n",
       "      <td id=\"T_457a2_row21_col1066\" class=\"data row21 col1066\" >360.280000</td>\n",
       "      <td id=\"T_457a2_row21_col1067\" class=\"data row21 col1067\" >141.840000</td>\n",
       "      <td id=\"T_457a2_row21_col1068\" class=\"data row21 col1068\" >139.680000</td>\n",
       "      <td id=\"T_457a2_row21_col1069\" class=\"data row21 col1069\" >234.500000</td>\n",
       "      <td id=\"T_457a2_row21_col1070\" class=\"data row21 col1070\" >243.180000</td>\n",
       "      <td id=\"T_457a2_row21_col1071\" class=\"data row21 col1071\" >168.230000</td>\n",
       "      <td id=\"T_457a2_row21_col1072\" class=\"data row21 col1072\" >365.000000</td>\n",
       "      <td id=\"T_457a2_row21_col1073\" class=\"data row21 col1073\" >507.910000</td>\n",
       "      <td id=\"T_457a2_row21_col1074\" class=\"data row21 col1074\" >383.150000</td>\n",
       "      <td id=\"T_457a2_row21_col1075\" class=\"data row21 col1075\" >369.010000</td>\n",
       "      <td id=\"T_457a2_row21_col1076\" class=\"data row21 col1076\" >199.370000</td>\n",
       "      <td id=\"T_457a2_row21_col1077\" class=\"data row21 col1077\" >306.340000</td>\n",
       "      <td id=\"T_457a2_row21_col1078\" class=\"data row21 col1078\" >383.310000</td>\n",
       "      <td id=\"T_457a2_row21_col1079\" class=\"data row21 col1079\" >442.940000</td>\n",
       "      <td id=\"T_457a2_row21_col1080\" class=\"data row21 col1080\" >333.180000</td>\n",
       "      <td id=\"T_457a2_row21_col1081\" class=\"data row21 col1081\" >201.600000</td>\n",
       "      <td id=\"T_457a2_row21_col1082\" class=\"data row21 col1082\" >264.980000</td>\n",
       "      <td id=\"T_457a2_row21_col1083\" class=\"data row21 col1083\" >257.110000</td>\n",
       "      <td id=\"T_457a2_row21_col1084\" class=\"data row21 col1084\" >2.255000</td>\n",
       "      <td id=\"T_457a2_row21_col1085\" class=\"data row21 col1085\" >2.877000</td>\n",
       "      <td id=\"T_457a2_row21_col1086\" class=\"data row21 col1086\" >2.629000</td>\n",
       "      <td id=\"T_457a2_row21_col1087\" class=\"data row21 col1087\" >2.337000</td>\n",
       "      <td id=\"T_457a2_row21_col1088\" class=\"data row21 col1088\" >2.247000</td>\n",
       "      <td id=\"T_457a2_row21_col1089\" class=\"data row21 col1089\" >2.425000</td>\n",
       "      <td id=\"T_457a2_row21_col1090\" class=\"data row21 col1090\" >2.746000</td>\n",
       "      <td id=\"T_457a2_row21_col1091\" class=\"data row21 col1091\" >2.432000</td>\n",
       "      <td id=\"T_457a2_row21_col1092\" class=\"data row21 col1092\" >1.905000</td>\n",
       "      <td id=\"T_457a2_row21_col1093\" class=\"data row21 col1093\" >2.349000</td>\n",
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       "      <td id=\"T_457a2_row21_col1196\" class=\"data row21 col1196\" >3.008000</td>\n",
       "      <td id=\"T_457a2_row21_col1197\" class=\"data row21 col1197\" >2.234000</td>\n",
       "      <td id=\"T_457a2_row21_col1198\" class=\"data row21 col1198\" >2.591000</td>\n",
       "      <td id=\"T_457a2_row21_col1199\" class=\"data row21 col1199\" >2.543000</td>\n",
       "      <td id=\"T_457a2_row21_col1200\" class=\"data row21 col1200\" >2.616000</td>\n",
       "      <td id=\"T_457a2_row21_col1201\" class=\"data row21 col1201\" >2.431000</td>\n",
       "      <td id=\"T_457a2_row21_col1202\" class=\"data row21 col1202\" >2.180000</td>\n",
       "      <td id=\"T_457a2_row21_col1203\" class=\"data row21 col1203\" >1.978000</td>\n",
       "      <td id=\"T_457a2_row21_col1204\" class=\"data row21 col1204\" >2.526000</td>\n",
       "      <td id=\"T_457a2_row21_col1205\" class=\"data row21 col1205\" >2.241000</td>\n",
       "      <td id=\"T_457a2_row21_col1206\" class=\"data row21 col1206\" >2.989000</td>\n",
       "      <td id=\"T_457a2_row21_col1207\" class=\"data row21 col1207\" >2.624000</td>\n",
       "      <td id=\"T_457a2_row21_col1208\" class=\"data row21 col1208\" >3.381000</td>\n",
       "      <td id=\"T_457a2_row21_col1209\" class=\"data row21 col1209\" >2.917000</td>\n",
       "      <td id=\"T_457a2_row21_col1210\" class=\"data row21 col1210\" >2.525000</td>\n",
       "      <td id=\"T_457a2_row21_col1211\" class=\"data row21 col1211\" >2.661000</td>\n",
       "      <td id=\"T_457a2_row21_col1212\" class=\"data row21 col1212\" >2.708000</td>\n",
       "      <td id=\"T_457a2_row21_col1213\" class=\"data row21 col1213\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row21_col1214\" class=\"data row21 col1214\" >2.521000</td>\n",
       "      <td id=\"T_457a2_row21_col1215\" class=\"data row21 col1215\" >3.367000</td>\n",
       "      <td id=\"T_457a2_row21_col1216\" class=\"data row21 col1216\" >3.382000</td>\n",
       "      <td id=\"T_457a2_row21_col1217\" class=\"data row21 col1217\" >2.430000</td>\n",
       "      <td id=\"T_457a2_row21_col1218\" class=\"data row21 col1218\" >2.320000</td>\n",
       "      <td id=\"T_457a2_row21_col1219\" class=\"data row21 col1219\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row21_col1220\" class=\"data row21 col1220\" >3.108000</td>\n",
       "      <td id=\"T_457a2_row21_col1221\" class=\"data row21 col1221\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row21_col1222\" class=\"data row21 col1222\" >2.679000</td>\n",
       "      <td id=\"T_457a2_row21_col1223\" class=\"data row21 col1223\" >2.615000</td>\n",
       "      <td id=\"T_457a2_row21_col1224\" class=\"data row21 col1224\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row21_col1225\" class=\"data row21 col1225\" >2.328000</td>\n",
       "      <td id=\"T_457a2_row21_col1226\" class=\"data row21 col1226\" >3.124000</td>\n",
       "      <td id=\"T_457a2_row21_col1227\" class=\"data row21 col1227\" >2.398000</td>\n",
       "      <td id=\"T_457a2_row21_col1228\" class=\"data row21 col1228\" >2.466000</td>\n",
       "      <td id=\"T_457a2_row21_col1229\" class=\"data row21 col1229\" >2.738000</td>\n",
       "      <td id=\"T_457a2_row21_col1230\" class=\"data row21 col1230\" >2.373000</td>\n",
       "      <td id=\"T_457a2_row21_col1231\" class=\"data row21 col1231\" >3.163000</td>\n",
       "      <td id=\"T_457a2_row21_col1232\" class=\"data row21 col1232\" >2.906000</td>\n",
       "      <td id=\"T_457a2_row21_col1233\" class=\"data row21 col1233\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row21_col1234\" class=\"data row21 col1234\" >3.032000</td>\n",
       "      <td id=\"T_457a2_row21_col1235\" class=\"data row21 col1235\" >2.835000</td>\n",
       "      <td id=\"T_457a2_row21_col1236\" class=\"data row21 col1236\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row21_col1237\" class=\"data row21 col1237\" >2.233000</td>\n",
       "      <td id=\"T_457a2_row21_col1238\" class=\"data row21 col1238\" >2.482000</td>\n",
       "      <td id=\"T_457a2_row21_col1239\" class=\"data row21 col1239\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row21_col1240\" class=\"data row21 col1240\" >2.227000</td>\n",
       "      <td id=\"T_457a2_row21_col1241\" class=\"data row21 col1241\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row21_col1242\" class=\"data row21 col1242\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row21_col1243\" class=\"data row21 col1243\" >2.720000</td>\n",
       "      <td id=\"T_457a2_row21_col1244\" class=\"data row21 col1244\" >2.868000</td>\n",
       "      <td id=\"T_457a2_row21_col1245\" class=\"data row21 col1245\" >3.569000</td>\n",
       "      <td id=\"T_457a2_row21_col1246\" class=\"data row21 col1246\" >3.199000</td>\n",
       "      <td id=\"T_457a2_row21_col1247\" class=\"data row21 col1247\" >3.095000</td>\n",
       "      <td id=\"T_457a2_row21_col1248\" class=\"data row21 col1248\" >1.971000</td>\n",
       "      <td id=\"T_457a2_row21_col1249\" class=\"data row21 col1249\" >3.552000</td>\n",
       "      <td id=\"T_457a2_row21_col1250\" class=\"data row21 col1250\" >2.885000</td>\n",
       "      <td id=\"T_457a2_row21_col1251\" class=\"data row21 col1251\" >2.676000</td>\n",
       "      <td id=\"T_457a2_row21_col1252\" class=\"data row21 col1252\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row21_col1253\" class=\"data row21 col1253\" >2.593000</td>\n",
       "      <td id=\"T_457a2_row21_col1254\" class=\"data row21 col1254\" >2.471000</td>\n",
       "      <td id=\"T_457a2_row21_col1255\" class=\"data row21 col1255\" >2.708000</td>\n",
       "      <td id=\"T_457a2_row21_col1256\" class=\"data row21 col1256\" >2.733000</td>\n",
       "      <td id=\"T_457a2_row21_col1257\" class=\"data row21 col1257\" >2.461000</td>\n",
       "      <td id=\"T_457a2_row21_col1258\" class=\"data row21 col1258\" >3.127000</td>\n",
       "      <td id=\"T_457a2_row21_col1259\" class=\"data row21 col1259\" >2.500000</td>\n",
       "      <td id=\"T_457a2_row21_col1260\" class=\"data row21 col1260\" >3.087000</td>\n",
       "      <td id=\"T_457a2_row21_col1261\" class=\"data row21 col1261\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row21_col1262\" class=\"data row21 col1262\" >2.357000</td>\n",
       "      <td id=\"T_457a2_row21_col1263\" class=\"data row21 col1263\" >2.779000</td>\n",
       "      <td id=\"T_457a2_row21_col1264\" class=\"data row21 col1264\" >2.076000</td>\n",
       "      <td id=\"T_457a2_row21_col1265\" class=\"data row21 col1265\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row21_col1266\" class=\"data row21 col1266\" >2.314000</td>\n",
       "      <td id=\"T_457a2_row21_col1267\" class=\"data row21 col1267\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row21_col1268\" class=\"data row21 col1268\" >2.415000</td>\n",
       "      <td id=\"T_457a2_row21_col1269\" class=\"data row21 col1269\" >2.519000</td>\n",
       "      <td id=\"T_457a2_row21_col1270\" class=\"data row21 col1270\" >3.220000</td>\n",
       "      <td id=\"T_457a2_row21_col1271\" class=\"data row21 col1271\" >2.341000</td>\n",
       "      <td id=\"T_457a2_row21_col1272\" class=\"data row21 col1272\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row21_col1273\" class=\"data row21 col1273\" >1.898000</td>\n",
       "      <td id=\"T_457a2_row21_col1274\" class=\"data row21 col1274\" >2.359000</td>\n",
       "      <td id=\"T_457a2_row21_col1275\" class=\"data row21 col1275\" >2.028000</td>\n",
       "      <td id=\"T_457a2_row21_col1276\" class=\"data row21 col1276\" >2.127000</td>\n",
       "      <td id=\"T_457a2_row21_col1277\" class=\"data row21 col1277\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row21_col1278\" class=\"data row21 col1278\" >2.585000</td>\n",
       "      <td id=\"T_457a2_row21_col1279\" class=\"data row21 col1279\" >2.168000</td>\n",
       "      <td id=\"T_457a2_row21_col1280\" class=\"data row21 col1280\" >2.079000</td>\n",
       "      <td id=\"T_457a2_row21_col1281\" class=\"data row21 col1281\" >2.920000</td>\n",
       "      <td id=\"T_457a2_row21_col1282\" class=\"data row21 col1282\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row21_col1283\" class=\"data row21 col1283\" >2.356000</td>\n",
       "      <td id=\"T_457a2_row21_col1284\" class=\"data row21 col1284\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row21_col1285\" class=\"data row21 col1285\" >3.423000</td>\n",
       "      <td id=\"T_457a2_row21_col1286\" class=\"data row21 col1286\" >2.505000</td>\n",
       "      <td id=\"T_457a2_row21_col1287\" class=\"data row21 col1287\" >2.397000</td>\n",
       "      <td id=\"T_457a2_row21_col1288\" class=\"data row21 col1288\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row21_col1289\" class=\"data row21 col1289\" >2.971000</td>\n",
       "      <td id=\"T_457a2_row21_col1290\" class=\"data row21 col1290\" >2.766000</td>\n",
       "      <td id=\"T_457a2_row21_col1291\" class=\"data row21 col1291\" >2.982000</td>\n",
       "      <td id=\"T_457a2_row21_col1292\" class=\"data row21 col1292\" >2.300000</td>\n",
       "      <td id=\"T_457a2_row21_col1293\" class=\"data row21 col1293\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row21_col1294\" class=\"data row21 col1294\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row21_col1295\" class=\"data row21 col1295\" >3.388000</td>\n",
       "      <td id=\"T_457a2_row21_col1296\" class=\"data row21 col1296\" >3.273000</td>\n",
       "      <td id=\"T_457a2_row21_col1297\" class=\"data row21 col1297\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row21_col1298\" class=\"data row21 col1298\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row21_col1299\" class=\"data row21 col1299\" >2.808000</td>\n",
       "      <td id=\"T_457a2_row21_col1300\" class=\"data row21 col1300\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row21_col1301\" class=\"data row21 col1301\" >2.662000</td>\n",
       "      <td id=\"T_457a2_row21_col1302\" class=\"data row21 col1302\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row21_col1303\" class=\"data row21 col1303\" >2.621000</td>\n",
       "      <td id=\"T_457a2_row21_col1304\" class=\"data row21 col1304\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row21_col1305\" class=\"data row21 col1305\" >2.744000</td>\n",
       "      <td id=\"T_457a2_row21_col1306\" class=\"data row21 col1306\" >2.608000</td>\n",
       "      <td id=\"T_457a2_row21_col1307\" class=\"data row21 col1307\" >2.647000</td>\n",
       "      <td id=\"T_457a2_row21_col1308\" class=\"data row21 col1308\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row21_col1309\" class=\"data row21 col1309\" >2.675000</td>\n",
       "      <td id=\"T_457a2_row21_col1310\" class=\"data row21 col1310\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row21_col1311\" class=\"data row21 col1311\" >2.244000</td>\n",
       "      <td id=\"T_457a2_row21_col1312\" class=\"data row21 col1312\" >2.227000</td>\n",
       "      <td id=\"T_457a2_row21_col1313\" class=\"data row21 col1313\" >2.294000</td>\n",
       "      <td id=\"T_457a2_row21_col1314\" class=\"data row21 col1314\" >2.359000</td>\n",
       "      <td id=\"T_457a2_row21_col1315\" class=\"data row21 col1315\" >2.039000</td>\n",
       "      <td id=\"T_457a2_row21_col1316\" class=\"data row21 col1316\" >2.239000</td>\n",
       "      <td id=\"T_457a2_row21_col1317\" class=\"data row21 col1317\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row21_col1318\" class=\"data row21 col1318\" >2.043000</td>\n",
       "      <td id=\"T_457a2_row21_col1319\" class=\"data row21 col1319\" >2.618000</td>\n",
       "      <td id=\"T_457a2_row21_col1320\" class=\"data row21 col1320\" >3.341000</td>\n",
       "      <td id=\"T_457a2_row21_col1321\" class=\"data row21 col1321\" >2.268000</td>\n",
       "      <td id=\"T_457a2_row21_col1322\" class=\"data row21 col1322\" >3.097000</td>\n",
       "      <td id=\"T_457a2_row21_col1323\" class=\"data row21 col1323\" >2.527000</td>\n",
       "      <td id=\"T_457a2_row21_col1324\" class=\"data row21 col1324\" >3.009000</td>\n",
       "      <td id=\"T_457a2_row21_col1325\" class=\"data row21 col1325\" >3.049000</td>\n",
       "      <td id=\"T_457a2_row21_col1326\" class=\"data row21 col1326\" >3.162000</td>\n",
       "      <td id=\"T_457a2_row21_col1327\" class=\"data row21 col1327\" >2.352000</td>\n",
       "      <td id=\"T_457a2_row21_col1328\" class=\"data row21 col1328\" >2.406000</td>\n",
       "      <td id=\"T_457a2_row21_col1329\" class=\"data row21 col1329\" >1.954000</td>\n",
       "      <td id=\"T_457a2_row21_col1330\" class=\"data row21 col1330\" >2.784000</td>\n",
       "      <td id=\"T_457a2_row21_col1331\" class=\"data row21 col1331\" >2.593000</td>\n",
       "      <td id=\"T_457a2_row21_col1332\" class=\"data row21 col1332\" >3.185000</td>\n",
       "      <td id=\"T_457a2_row21_col1333\" class=\"data row21 col1333\" >3.222000</td>\n",
       "      <td id=\"T_457a2_row21_col1334\" class=\"data row21 col1334\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row21_col1335\" class=\"data row21 col1335\" >3.165000</td>\n",
       "      <td id=\"T_457a2_row21_col1336\" class=\"data row21 col1336\" >2.097000</td>\n",
       "      <td id=\"T_457a2_row21_col1337\" class=\"data row21 col1337\" >2.213000</td>\n",
       "      <td id=\"T_457a2_row21_col1338\" class=\"data row21 col1338\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row21_col1339\" class=\"data row21 col1339\" >2.473000</td>\n",
       "      <td id=\"T_457a2_row21_col1340\" class=\"data row21 col1340\" >2.130000</td>\n",
       "      <td id=\"T_457a2_row21_col1341\" class=\"data row21 col1341\" >2.309000</td>\n",
       "      <td id=\"T_457a2_row21_col1342\" class=\"data row21 col1342\" >2.556000</td>\n",
       "      <td id=\"T_457a2_row21_col1343\" class=\"data row21 col1343\" >2.114000</td>\n",
       "      <td id=\"T_457a2_row21_col1344\" class=\"data row21 col1344\" >2.470000</td>\n",
       "      <td id=\"T_457a2_row21_col1345\" class=\"data row21 col1345\" >2.053000</td>\n",
       "      <td id=\"T_457a2_row21_col1346\" class=\"data row21 col1346\" >2.425000</td>\n",
       "      <td id=\"T_457a2_row21_col1347\" class=\"data row21 col1347\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row21_col1348\" class=\"data row21 col1348\" >2.481000</td>\n",
       "      <td id=\"T_457a2_row21_col1349\" class=\"data row21 col1349\" >2.380000</td>\n",
       "      <td id=\"T_457a2_row21_col1350\" class=\"data row21 col1350\" >3.265000</td>\n",
       "      <td id=\"T_457a2_row21_col1351\" class=\"data row21 col1351\" >2.401000</td>\n",
       "      <td id=\"T_457a2_row21_col1352\" class=\"data row21 col1352\" >2.412000</td>\n",
       "      <td id=\"T_457a2_row21_col1353\" class=\"data row21 col1353\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row21_col1354\" class=\"data row21 col1354\" >2.369000</td>\n",
       "      <td id=\"T_457a2_row21_col1355\" class=\"data row21 col1355\" >2.073000</td>\n",
       "      <td id=\"T_457a2_row21_col1356\" class=\"data row21 col1356\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row21_col1357\" class=\"data row21 col1357\" >2.099000</td>\n",
       "      <td id=\"T_457a2_row21_col1358\" class=\"data row21 col1358\" >2.600000</td>\n",
       "      <td id=\"T_457a2_row21_col1359\" class=\"data row21 col1359\" >2.302000</td>\n",
       "      <td id=\"T_457a2_row21_col1360\" class=\"data row21 col1360\" >2.393000</td>\n",
       "      <td id=\"T_457a2_row21_col1361\" class=\"data row21 col1361\" >2.922000</td>\n",
       "      <td id=\"T_457a2_row21_col1362\" class=\"data row21 col1362\" >2.910000</td>\n",
       "      <td id=\"T_457a2_row21_col1363\" class=\"data row21 col1363\" >2.669000</td>\n",
       "      <td id=\"T_457a2_row21_col1364\" class=\"data row21 col1364\" >2.958000</td>\n",
       "      <td id=\"T_457a2_row21_col1365\" class=\"data row21 col1365\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row21_col1366\" class=\"data row21 col1366\" >2.080000</td>\n",
       "      <td id=\"T_457a2_row21_col1367\" class=\"data row21 col1367\" >2.387000</td>\n",
       "      <td id=\"T_457a2_row21_col1368\" class=\"data row21 col1368\" >2.510000</td>\n",
       "      <td id=\"T_457a2_row21_col1369\" class=\"data row21 col1369\" >3.471000</td>\n",
       "      <td id=\"T_457a2_row21_col1370\" class=\"data row21 col1370\" >2.570000</td>\n",
       "      <td id=\"T_457a2_row21_col1371\" class=\"data row21 col1371\" >2.194000</td>\n",
       "      <td id=\"T_457a2_row21_col1372\" class=\"data row21 col1372\" >2.930000</td>\n",
       "      <td id=\"T_457a2_row21_col1373\" class=\"data row21 col1373\" >2.760000</td>\n",
       "      <td id=\"T_457a2_row21_col1374\" class=\"data row21 col1374\" >2.645000</td>\n",
       "      <td id=\"T_457a2_row21_col1375\" class=\"data row21 col1375\" >2.524000</td>\n",
       "      <td id=\"T_457a2_row21_col1376\" class=\"data row21 col1376\" >2.256000</td>\n",
       "      <td id=\"T_457a2_row21_col1377\" class=\"data row21 col1377\" >2.205000</td>\n",
       "      <td id=\"T_457a2_row21_col1378\" class=\"data row21 col1378\" >2.123000</td>\n",
       "      <td id=\"T_457a2_row21_col1379\" class=\"data row21 col1379\" >2.874000</td>\n",
       "      <td id=\"T_457a2_row21_col1380\" class=\"data row21 col1380\" >2.286000</td>\n",
       "      <td id=\"T_457a2_row21_col1381\" class=\"data row21 col1381\" >2.575000</td>\n",
       "      <td id=\"T_457a2_row21_col1382\" class=\"data row21 col1382\" >2.420000</td>\n",
       "      <td id=\"T_457a2_row21_col1383\" class=\"data row21 col1383\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row21_col1384\" class=\"data row21 col1384\" >2.301000</td>\n",
       "      <td id=\"T_457a2_row21_col1385\" class=\"data row21 col1385\" >2.407000</td>\n",
       "      <td id=\"T_457a2_row21_col1386\" class=\"data row21 col1386\" >1.527000</td>\n",
       "      <td id=\"T_457a2_row21_col1387\" class=\"data row21 col1387\" >2.889000</td>\n",
       "      <td id=\"T_457a2_row21_col1388\" class=\"data row21 col1388\" >2.736000</td>\n",
       "      <td id=\"T_457a2_row21_col1389\" class=\"data row21 col1389\" >3.264000</td>\n",
       "      <td id=\"T_457a2_row21_col1390\" class=\"data row21 col1390\" >1.999000</td>\n",
       "      <td id=\"T_457a2_row21_col1391\" class=\"data row21 col1391\" >2.176000</td>\n",
       "      <td id=\"T_457a2_row21_col1392\" class=\"data row21 col1392\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row21_col1393\" class=\"data row21 col1393\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row21_col1394\" class=\"data row21 col1394\" >2.295000</td>\n",
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       "      <td id=\"T_457a2_row22_col993\" class=\"data row22 col993\" >510.160000</td>\n",
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       "      <td id=\"T_457a2_row22_col996\" class=\"data row22 col996\" >756.490000</td>\n",
       "      <td id=\"T_457a2_row22_col997\" class=\"data row22 col997\" >249.060000</td>\n",
       "      <td id=\"T_457a2_row22_col998\" class=\"data row22 col998\" >172.970000</td>\n",
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       "      <td id=\"T_457a2_row22_col1001\" class=\"data row22 col1001\" >288.970000</td>\n",
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       "      <td id=\"T_457a2_row22_col1003\" class=\"data row22 col1003\" >437.490000</td>\n",
       "      <td id=\"T_457a2_row22_col1004\" class=\"data row22 col1004\" >201.270000</td>\n",
       "      <td id=\"T_457a2_row22_col1005\" class=\"data row22 col1005\" >208.110000</td>\n",
       "      <td id=\"T_457a2_row22_col1006\" class=\"data row22 col1006\" >134.180000</td>\n",
       "      <td id=\"T_457a2_row22_col1007\" class=\"data row22 col1007\" >338.530000</td>\n",
       "      <td id=\"T_457a2_row22_col1008\" class=\"data row22 col1008\" >283.950000</td>\n",
       "      <td id=\"T_457a2_row22_col1009\" class=\"data row22 col1009\" >356.240000</td>\n",
       "      <td id=\"T_457a2_row22_col1010\" class=\"data row22 col1010\" >262.900000</td>\n",
       "      <td id=\"T_457a2_row22_col1011\" class=\"data row22 col1011\" >267.500000</td>\n",
       "      <td id=\"T_457a2_row22_col1012\" class=\"data row22 col1012\" >286.230000</td>\n",
       "      <td id=\"T_457a2_row22_col1013\" class=\"data row22 col1013\" >326.820000</td>\n",
       "      <td id=\"T_457a2_row22_col1014\" class=\"data row22 col1014\" >333.180000</td>\n",
       "      <td id=\"T_457a2_row22_col1015\" class=\"data row22 col1015\" >184.650000</td>\n",
       "      <td id=\"T_457a2_row22_col1016\" class=\"data row22 col1016\" >154.220000</td>\n",
       "      <td id=\"T_457a2_row22_col1017\" class=\"data row22 col1017\" >116.510000</td>\n",
       "      <td id=\"T_457a2_row22_col1018\" class=\"data row22 col1018\" >152.690000</td>\n",
       "      <td id=\"T_457a2_row22_col1019\" class=\"data row22 col1019\" >329.250000</td>\n",
       "      <td id=\"T_457a2_row22_col1020\" class=\"data row22 col1020\" >645.720000</td>\n",
       "      <td id=\"T_457a2_row22_col1021\" class=\"data row22 col1021\" >168.060000</td>\n",
       "      <td id=\"T_457a2_row22_col1022\" class=\"data row22 col1022\" >199.270000</td>\n",
       "      <td id=\"T_457a2_row22_col1023\" class=\"data row22 col1023\" >320.020000</td>\n",
       "      <td id=\"T_457a2_row22_col1024\" class=\"data row22 col1024\" >290.820000</td>\n",
       "      <td id=\"T_457a2_row22_col1025\" class=\"data row22 col1025\" >571.410000</td>\n",
       "      <td id=\"T_457a2_row22_col1026\" class=\"data row22 col1026\" >168.560000</td>\n",
       "      <td id=\"T_457a2_row22_col1027\" class=\"data row22 col1027\" >230.120000</td>\n",
       "      <td id=\"T_457a2_row22_col1028\" class=\"data row22 col1028\" >501.560000</td>\n",
       "      <td id=\"T_457a2_row22_col1029\" class=\"data row22 col1029\" >211.690000</td>\n",
       "      <td id=\"T_457a2_row22_col1030\" class=\"data row22 col1030\" >233.920000</td>\n",
       "      <td id=\"T_457a2_row22_col1031\" class=\"data row22 col1031\" >504.280000</td>\n",
       "      <td id=\"T_457a2_row22_col1032\" class=\"data row22 col1032\" >527.900000</td>\n",
       "      <td id=\"T_457a2_row22_col1033\" class=\"data row22 col1033\" >453.560000</td>\n",
       "      <td id=\"T_457a2_row22_col1034\" class=\"data row22 col1034\" >1059.200000</td>\n",
       "      <td id=\"T_457a2_row22_col1035\" class=\"data row22 col1035\" >375.710000</td>\n",
       "      <td id=\"T_457a2_row22_col1036\" class=\"data row22 col1036\" >781.060000</td>\n",
       "      <td id=\"T_457a2_row22_col1037\" class=\"data row22 col1037\" >995.590000</td>\n",
       "      <td id=\"T_457a2_row22_col1038\" class=\"data row22 col1038\" >866.200000</td>\n",
       "      <td id=\"T_457a2_row22_col1039\" class=\"data row22 col1039\" >680.130000</td>\n",
       "      <td id=\"T_457a2_row22_col1040\" class=\"data row22 col1040\" >540.250000</td>\n",
       "      <td id=\"T_457a2_row22_col1041\" class=\"data row22 col1041\" >637.890000</td>\n",
       "      <td id=\"T_457a2_row22_col1042\" class=\"data row22 col1042\" >754.530000</td>\n",
       "      <td id=\"T_457a2_row22_col1043\" class=\"data row22 col1043\" >571.820000</td>\n",
       "      <td id=\"T_457a2_row22_col1044\" class=\"data row22 col1044\" >408.130000</td>\n",
       "      <td id=\"T_457a2_row22_col1045\" class=\"data row22 col1045\" >493.080000</td>\n",
       "      <td id=\"T_457a2_row22_col1046\" class=\"data row22 col1046\" >570.530000</td>\n",
       "      <td id=\"T_457a2_row22_col1047\" class=\"data row22 col1047\" >380.080000</td>\n",
       "      <td id=\"T_457a2_row22_col1048\" class=\"data row22 col1048\" >393.770000</td>\n",
       "      <td id=\"T_457a2_row22_col1049\" class=\"data row22 col1049\" >332.330000</td>\n",
       "      <td id=\"T_457a2_row22_col1050\" class=\"data row22 col1050\" >241.090000</td>\n",
       "      <td id=\"T_457a2_row22_col1051\" class=\"data row22 col1051\" >658.510000</td>\n",
       "      <td id=\"T_457a2_row22_col1052\" class=\"data row22 col1052\" >1473.500000</td>\n",
       "      <td id=\"T_457a2_row22_col1053\" class=\"data row22 col1053\" >1070.800000</td>\n",
       "      <td id=\"T_457a2_row22_col1054\" class=\"data row22 col1054\" >749.370000</td>\n",
       "      <td id=\"T_457a2_row22_col1055\" class=\"data row22 col1055\" >177.580000</td>\n",
       "      <td id=\"T_457a2_row22_col1056\" class=\"data row22 col1056\" >281.330000</td>\n",
       "      <td id=\"T_457a2_row22_col1057\" class=\"data row22 col1057\" >182.400000</td>\n",
       "      <td id=\"T_457a2_row22_col1058\" class=\"data row22 col1058\" >188.970000</td>\n",
       "      <td id=\"T_457a2_row22_col1059\" class=\"data row22 col1059\" >127.590000</td>\n",
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       "      <td id=\"T_457a2_row22_col1061\" class=\"data row22 col1061\" >286.160000</td>\n",
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       "      <td id=\"T_457a2_row22_col1064\" class=\"data row22 col1064\" >130.030000</td>\n",
       "      <td id=\"T_457a2_row22_col1065\" class=\"data row22 col1065\" >145.320000</td>\n",
       "      <td id=\"T_457a2_row22_col1066\" class=\"data row22 col1066\" >408.550000</td>\n",
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       "      <td id=\"T_457a2_row22_col1068\" class=\"data row22 col1068\" >175.680000</td>\n",
       "      <td id=\"T_457a2_row22_col1069\" class=\"data row22 col1069\" >417.290000</td>\n",
       "      <td id=\"T_457a2_row22_col1070\" class=\"data row22 col1070\" >305.230000</td>\n",
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       "      <td id=\"T_457a2_row22_col1076\" class=\"data row22 col1076\" >186.130000</td>\n",
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       "      <td id=\"T_457a2_row22_col1187\" class=\"data row22 col1187\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row22_col1188\" class=\"data row22 col1188\" >2.291000</td>\n",
       "      <td id=\"T_457a2_row22_col1189\" class=\"data row22 col1189\" >4.108000</td>\n",
       "      <td id=\"T_457a2_row22_col1190\" class=\"data row22 col1190\" >3.191000</td>\n",
       "      <td id=\"T_457a2_row22_col1191\" class=\"data row22 col1191\" >2.873000</td>\n",
       "      <td id=\"T_457a2_row22_col1192\" class=\"data row22 col1192\" >3.371000</td>\n",
       "      <td id=\"T_457a2_row22_col1193\" class=\"data row22 col1193\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row22_col1194\" class=\"data row22 col1194\" >2.932000</td>\n",
       "      <td id=\"T_457a2_row22_col1195\" class=\"data row22 col1195\" >3.597000</td>\n",
       "      <td id=\"T_457a2_row22_col1196\" class=\"data row22 col1196\" >3.146000</td>\n",
       "      <td id=\"T_457a2_row22_col1197\" class=\"data row22 col1197\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row22_col1198\" class=\"data row22 col1198\" >3.023000</td>\n",
       "      <td id=\"T_457a2_row22_col1199\" class=\"data row22 col1199\" >1.983000</td>\n",
       "      <td id=\"T_457a2_row22_col1200\" class=\"data row22 col1200\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row22_col1201\" class=\"data row22 col1201\" >3.335000</td>\n",
       "      <td id=\"T_457a2_row22_col1202\" class=\"data row22 col1202\" >2.285000</td>\n",
       "      <td id=\"T_457a2_row22_col1203\" class=\"data row22 col1203\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row22_col1204\" class=\"data row22 col1204\" >2.194000</td>\n",
       "      <td id=\"T_457a2_row22_col1205\" class=\"data row22 col1205\" >2.855000</td>\n",
       "      <td id=\"T_457a2_row22_col1206\" class=\"data row22 col1206\" >3.327000</td>\n",
       "      <td id=\"T_457a2_row22_col1207\" class=\"data row22 col1207\" >2.343000</td>\n",
       "      <td id=\"T_457a2_row22_col1208\" class=\"data row22 col1208\" >2.848000</td>\n",
       "      <td id=\"T_457a2_row22_col1209\" class=\"data row22 col1209\" >2.944000</td>\n",
       "      <td id=\"T_457a2_row22_col1210\" class=\"data row22 col1210\" >2.869000</td>\n",
       "      <td id=\"T_457a2_row22_col1211\" class=\"data row22 col1211\" >2.823000</td>\n",
       "      <td id=\"T_457a2_row22_col1212\" class=\"data row22 col1212\" >2.665000</td>\n",
       "      <td id=\"T_457a2_row22_col1213\" class=\"data row22 col1213\" >2.917000</td>\n",
       "      <td id=\"T_457a2_row22_col1214\" class=\"data row22 col1214\" >2.865000</td>\n",
       "      <td id=\"T_457a2_row22_col1215\" class=\"data row22 col1215\" >3.040000</td>\n",
       "      <td id=\"T_457a2_row22_col1216\" class=\"data row22 col1216\" >2.955000</td>\n",
       "      <td id=\"T_457a2_row22_col1217\" class=\"data row22 col1217\" >2.394000</td>\n",
       "      <td id=\"T_457a2_row22_col1218\" class=\"data row22 col1218\" >2.648000</td>\n",
       "      <td id=\"T_457a2_row22_col1219\" class=\"data row22 col1219\" >2.622000</td>\n",
       "      <td id=\"T_457a2_row22_col1220\" class=\"data row22 col1220\" >3.236000</td>\n",
       "      <td id=\"T_457a2_row22_col1221\" class=\"data row22 col1221\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row22_col1222\" class=\"data row22 col1222\" >2.484000</td>\n",
       "      <td id=\"T_457a2_row22_col1223\" class=\"data row22 col1223\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row22_col1224\" class=\"data row22 col1224\" >2.142000</td>\n",
       "      <td id=\"T_457a2_row22_col1225\" class=\"data row22 col1225\" >2.174000</td>\n",
       "      <td id=\"T_457a2_row22_col1226\" class=\"data row22 col1226\" >2.584000</td>\n",
       "      <td id=\"T_457a2_row22_col1227\" class=\"data row22 col1227\" >2.076000</td>\n",
       "      <td id=\"T_457a2_row22_col1228\" class=\"data row22 col1228\" >1.800000</td>\n",
       "      <td id=\"T_457a2_row22_col1229\" class=\"data row22 col1229\" >1.672000</td>\n",
       "      <td id=\"T_457a2_row22_col1230\" class=\"data row22 col1230\" >2.076000</td>\n",
       "      <td id=\"T_457a2_row22_col1231\" class=\"data row22 col1231\" >2.538000</td>\n",
       "      <td id=\"T_457a2_row22_col1232\" class=\"data row22 col1232\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row22_col1233\" class=\"data row22 col1233\" >2.319000</td>\n",
       "      <td id=\"T_457a2_row22_col1234\" class=\"data row22 col1234\" >3.026000</td>\n",
       "      <td id=\"T_457a2_row22_col1235\" class=\"data row22 col1235\" >2.792000</td>\n",
       "      <td id=\"T_457a2_row22_col1236\" class=\"data row22 col1236\" >2.687000</td>\n",
       "      <td id=\"T_457a2_row22_col1237\" class=\"data row22 col1237\" >2.522000</td>\n",
       "      <td id=\"T_457a2_row22_col1238\" class=\"data row22 col1238\" >2.560000</td>\n",
       "      <td id=\"T_457a2_row22_col1239\" class=\"data row22 col1239\" >1.915000</td>\n",
       "      <td id=\"T_457a2_row22_col1240\" class=\"data row22 col1240\" >2.690000</td>\n",
       "      <td id=\"T_457a2_row22_col1241\" class=\"data row22 col1241\" >2.042000</td>\n",
       "      <td id=\"T_457a2_row22_col1242\" class=\"data row22 col1242\" >2.319000</td>\n",
       "      <td id=\"T_457a2_row22_col1243\" class=\"data row22 col1243\" >3.066000</td>\n",
       "      <td id=\"T_457a2_row22_col1244\" class=\"data row22 col1244\" >2.419000</td>\n",
       "      <td id=\"T_457a2_row22_col1245\" class=\"data row22 col1245\" >3.273000</td>\n",
       "      <td id=\"T_457a2_row22_col1246\" class=\"data row22 col1246\" >3.093000</td>\n",
       "      <td id=\"T_457a2_row22_col1247\" class=\"data row22 col1247\" >3.868000</td>\n",
       "      <td id=\"T_457a2_row22_col1248\" class=\"data row22 col1248\" >3.384000</td>\n",
       "      <td id=\"T_457a2_row22_col1249\" class=\"data row22 col1249\" >2.742000</td>\n",
       "      <td id=\"T_457a2_row22_col1250\" class=\"data row22 col1250\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row22_col1251\" class=\"data row22 col1251\" >3.064000</td>\n",
       "      <td id=\"T_457a2_row22_col1252\" class=\"data row22 col1252\" >2.575000</td>\n",
       "      <td id=\"T_457a2_row22_col1253\" class=\"data row22 col1253\" >2.099000</td>\n",
       "      <td id=\"T_457a2_row22_col1254\" class=\"data row22 col1254\" >1.997000</td>\n",
       "      <td id=\"T_457a2_row22_col1255\" class=\"data row22 col1255\" >2.364000</td>\n",
       "      <td id=\"T_457a2_row22_col1256\" class=\"data row22 col1256\" >3.011000</td>\n",
       "      <td id=\"T_457a2_row22_col1257\" class=\"data row22 col1257\" >2.342000</td>\n",
       "      <td id=\"T_457a2_row22_col1258\" class=\"data row22 col1258\" >2.839000</td>\n",
       "      <td id=\"T_457a2_row22_col1259\" class=\"data row22 col1259\" >2.578000</td>\n",
       "      <td id=\"T_457a2_row22_col1260\" class=\"data row22 col1260\" >3.149000</td>\n",
       "      <td id=\"T_457a2_row22_col1261\" class=\"data row22 col1261\" >2.369000</td>\n",
       "      <td id=\"T_457a2_row22_col1262\" class=\"data row22 col1262\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row22_col1263\" class=\"data row22 col1263\" >3.148000</td>\n",
       "      <td id=\"T_457a2_row22_col1264\" class=\"data row22 col1264\" >1.767000</td>\n",
       "      <td id=\"T_457a2_row22_col1265\" class=\"data row22 col1265\" >2.385000</td>\n",
       "      <td id=\"T_457a2_row22_col1266\" class=\"data row22 col1266\" >1.756000</td>\n",
       "      <td id=\"T_457a2_row22_col1267\" class=\"data row22 col1267\" >2.136000</td>\n",
       "      <td id=\"T_457a2_row22_col1268\" class=\"data row22 col1268\" >2.031000</td>\n",
       "      <td id=\"T_457a2_row22_col1269\" class=\"data row22 col1269\" >1.967000</td>\n",
       "      <td id=\"T_457a2_row22_col1270\" class=\"data row22 col1270\" >2.268000</td>\n",
       "      <td id=\"T_457a2_row22_col1271\" class=\"data row22 col1271\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row22_col1272\" class=\"data row22 col1272\" >1.405000</td>\n",
       "      <td id=\"T_457a2_row22_col1273\" class=\"data row22 col1273\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row22_col1274\" class=\"data row22 col1274\" >2.781000</td>\n",
       "      <td id=\"T_457a2_row22_col1275\" class=\"data row22 col1275\" >3.232000</td>\n",
       "      <td id=\"T_457a2_row22_col1276\" class=\"data row22 col1276\" >2.178000</td>\n",
       "      <td id=\"T_457a2_row22_col1277\" class=\"data row22 col1277\" >2.891000</td>\n",
       "      <td id=\"T_457a2_row22_col1278\" class=\"data row22 col1278\" >2.025000</td>\n",
       "      <td id=\"T_457a2_row22_col1279\" class=\"data row22 col1279\" >2.293000</td>\n",
       "      <td id=\"T_457a2_row22_col1280\" class=\"data row22 col1280\" >1.775000</td>\n",
       "      <td id=\"T_457a2_row22_col1281\" class=\"data row22 col1281\" >2.326000</td>\n",
       "      <td id=\"T_457a2_row22_col1282\" class=\"data row22 col1282\" >1.846000</td>\n",
       "      <td id=\"T_457a2_row22_col1283\" class=\"data row22 col1283\" >1.959000</td>\n",
       "      <td id=\"T_457a2_row22_col1284\" class=\"data row22 col1284\" >2.769000</td>\n",
       "      <td id=\"T_457a2_row22_col1285\" class=\"data row22 col1285\" >2.276000</td>\n",
       "      <td id=\"T_457a2_row22_col1286\" class=\"data row22 col1286\" >1.867000</td>\n",
       "      <td id=\"T_457a2_row22_col1287\" class=\"data row22 col1287\" >3.071000</td>\n",
       "      <td id=\"T_457a2_row22_col1288\" class=\"data row22 col1288\" >2.451000</td>\n",
       "      <td id=\"T_457a2_row22_col1289\" class=\"data row22 col1289\" >2.719000</td>\n",
       "      <td id=\"T_457a2_row22_col1290\" class=\"data row22 col1290\" >2.597000</td>\n",
       "      <td id=\"T_457a2_row22_col1291\" class=\"data row22 col1291\" >2.367000</td>\n",
       "      <td id=\"T_457a2_row22_col1292\" class=\"data row22 col1292\" >3.123000</td>\n",
       "      <td id=\"T_457a2_row22_col1293\" class=\"data row22 col1293\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row22_col1294\" class=\"data row22 col1294\" >3.163000</td>\n",
       "      <td id=\"T_457a2_row22_col1295\" class=\"data row22 col1295\" >3.104000</td>\n",
       "      <td id=\"T_457a2_row22_col1296\" class=\"data row22 col1296\" >3.138000</td>\n",
       "      <td id=\"T_457a2_row22_col1297\" class=\"data row22 col1297\" >3.050000</td>\n",
       "      <td id=\"T_457a2_row22_col1298\" class=\"data row22 col1298\" >2.290000</td>\n",
       "      <td id=\"T_457a2_row22_col1299\" class=\"data row22 col1299\" >2.092000</td>\n",
       "      <td id=\"T_457a2_row22_col1300\" class=\"data row22 col1300\" >1.795000</td>\n",
       "      <td id=\"T_457a2_row22_col1301\" class=\"data row22 col1301\" >2.670000</td>\n",
       "      <td id=\"T_457a2_row22_col1302\" class=\"data row22 col1302\" >2.184000</td>\n",
       "      <td id=\"T_457a2_row22_col1303\" class=\"data row22 col1303\" >2.708000</td>\n",
       "      <td id=\"T_457a2_row22_col1304\" class=\"data row22 col1304\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row22_col1305\" class=\"data row22 col1305\" >2.044000</td>\n",
       "      <td id=\"T_457a2_row22_col1306\" class=\"data row22 col1306\" >2.261000</td>\n",
       "      <td id=\"T_457a2_row22_col1307\" class=\"data row22 col1307\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row22_col1308\" class=\"data row22 col1308\" >2.664000</td>\n",
       "      <td id=\"T_457a2_row22_col1309\" class=\"data row22 col1309\" >1.796000</td>\n",
       "      <td id=\"T_457a2_row22_col1310\" class=\"data row22 col1310\" >2.415000</td>\n",
       "      <td id=\"T_457a2_row22_col1311\" class=\"data row22 col1311\" >1.804000</td>\n",
       "      <td id=\"T_457a2_row22_col1312\" class=\"data row22 col1312\" >2.356000</td>\n",
       "      <td id=\"T_457a2_row22_col1313\" class=\"data row22 col1313\" >1.850000</td>\n",
       "      <td id=\"T_457a2_row22_col1314\" class=\"data row22 col1314\" >2.228000</td>\n",
       "      <td id=\"T_457a2_row22_col1315\" class=\"data row22 col1315\" >1.701000</td>\n",
       "      <td id=\"T_457a2_row22_col1316\" class=\"data row22 col1316\" >1.744000</td>\n",
       "      <td id=\"T_457a2_row22_col1317\" class=\"data row22 col1317\" >3.136000</td>\n",
       "      <td id=\"T_457a2_row22_col1318\" class=\"data row22 col1318\" >2.599000</td>\n",
       "      <td id=\"T_457a2_row22_col1319\" class=\"data row22 col1319\" >3.070000</td>\n",
       "      <td id=\"T_457a2_row22_col1320\" class=\"data row22 col1320\" >3.521000</td>\n",
       "      <td id=\"T_457a2_row22_col1321\" class=\"data row22 col1321\" >2.280000</td>\n",
       "      <td id=\"T_457a2_row22_col1322\" class=\"data row22 col1322\" >3.399000</td>\n",
       "      <td id=\"T_457a2_row22_col1323\" class=\"data row22 col1323\" >2.838000</td>\n",
       "      <td id=\"T_457a2_row22_col1324\" class=\"data row22 col1324\" >3.714000</td>\n",
       "      <td id=\"T_457a2_row22_col1325\" class=\"data row22 col1325\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row22_col1326\" class=\"data row22 col1326\" >3.212000</td>\n",
       "      <td id=\"T_457a2_row22_col1327\" class=\"data row22 col1327\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row22_col1328\" class=\"data row22 col1328\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row22_col1329\" class=\"data row22 col1329\" >2.916000</td>\n",
       "      <td id=\"T_457a2_row22_col1330\" class=\"data row22 col1330\" >2.484000</td>\n",
       "      <td id=\"T_457a2_row22_col1331\" class=\"data row22 col1331\" >2.365000</td>\n",
       "      <td id=\"T_457a2_row22_col1332\" class=\"data row22 col1332\" >3.031000</td>\n",
       "      <td id=\"T_457a2_row22_col1333\" class=\"data row22 col1333\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row22_col1334\" class=\"data row22 col1334\" >2.286000</td>\n",
       "      <td id=\"T_457a2_row22_col1335\" class=\"data row22 col1335\" >2.495000</td>\n",
       "      <td id=\"T_457a2_row22_col1336\" class=\"data row22 col1336\" >2.457000</td>\n",
       "      <td id=\"T_457a2_row22_col1337\" class=\"data row22 col1337\" >2.333000</td>\n",
       "      <td id=\"T_457a2_row22_col1338\" class=\"data row22 col1338\" >2.659000</td>\n",
       "      <td id=\"T_457a2_row22_col1339\" class=\"data row22 col1339\" >2.771000</td>\n",
       "      <td id=\"T_457a2_row22_col1340\" class=\"data row22 col1340\" >2.432000</td>\n",
       "      <td id=\"T_457a2_row22_col1341\" class=\"data row22 col1341\" >2.427000</td>\n",
       "      <td id=\"T_457a2_row22_col1342\" class=\"data row22 col1342\" >2.301000</td>\n",
       "      <td id=\"T_457a2_row22_col1343\" class=\"data row22 col1343\" >2.348000</td>\n",
       "      <td id=\"T_457a2_row22_col1344\" class=\"data row22 col1344\" >2.163000</td>\n",
       "      <td id=\"T_457a2_row22_col1345\" class=\"data row22 col1345\" >2.315000</td>\n",
       "      <td id=\"T_457a2_row22_col1346\" class=\"data row22 col1346\" >2.376000</td>\n",
       "      <td id=\"T_457a2_row22_col1347\" class=\"data row22 col1347\" >2.263000</td>\n",
       "      <td id=\"T_457a2_row22_col1348\" class=\"data row22 col1348\" >2.124000</td>\n",
       "      <td id=\"T_457a2_row22_col1349\" class=\"data row22 col1349\" >2.037000</td>\n",
       "      <td id=\"T_457a2_row22_col1350\" class=\"data row22 col1350\" >2.033000</td>\n",
       "      <td id=\"T_457a2_row22_col1351\" class=\"data row22 col1351\" >2.462000</td>\n",
       "      <td id=\"T_457a2_row22_col1352\" class=\"data row22 col1352\" >1.855000</td>\n",
       "      <td id=\"T_457a2_row22_col1353\" class=\"data row22 col1353\" >2.434000</td>\n",
       "      <td id=\"T_457a2_row22_col1354\" class=\"data row22 col1354\" >2.909000</td>\n",
       "      <td id=\"T_457a2_row22_col1355\" class=\"data row22 col1355\" >3.099000</td>\n",
       "      <td id=\"T_457a2_row22_col1356\" class=\"data row22 col1356\" >2.279000</td>\n",
       "      <td id=\"T_457a2_row22_col1357\" class=\"data row22 col1357\" >3.161000</td>\n",
       "      <td id=\"T_457a2_row22_col1358\" class=\"data row22 col1358\" >1.884000</td>\n",
       "      <td id=\"T_457a2_row22_col1359\" class=\"data row22 col1359\" >2.482000</td>\n",
       "      <td id=\"T_457a2_row22_col1360\" class=\"data row22 col1360\" >2.758000</td>\n",
       "      <td id=\"T_457a2_row22_col1361\" class=\"data row22 col1361\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row22_col1362\" class=\"data row22 col1362\" >2.914000</td>\n",
       "      <td id=\"T_457a2_row22_col1363\" class=\"data row22 col1363\" >2.846000</td>\n",
       "      <td id=\"T_457a2_row22_col1364\" class=\"data row22 col1364\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row22_col1365\" class=\"data row22 col1365\" >2.642000</td>\n",
       "      <td id=\"T_457a2_row22_col1366\" class=\"data row22 col1366\" >2.694000</td>\n",
       "      <td id=\"T_457a2_row22_col1367\" class=\"data row22 col1367\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row22_col1368\" class=\"data row22 col1368\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row22_col1369\" class=\"data row22 col1369\" >2.755000</td>\n",
       "      <td id=\"T_457a2_row22_col1370\" class=\"data row22 col1370\" >3.222000</td>\n",
       "      <td id=\"T_457a2_row22_col1371\" class=\"data row22 col1371\" >3.069000</td>\n",
       "      <td id=\"T_457a2_row22_col1372\" class=\"data row22 col1372\" >3.076000</td>\n",
       "      <td id=\"T_457a2_row22_col1373\" class=\"data row22 col1373\" >2.346000</td>\n",
       "      <td id=\"T_457a2_row22_col1374\" class=\"data row22 col1374\" >2.819000</td>\n",
       "      <td id=\"T_457a2_row22_col1375\" class=\"data row22 col1375\" >3.441000</td>\n",
       "      <td id=\"T_457a2_row22_col1376\" class=\"data row22 col1376\" >2.816000</td>\n",
       "      <td id=\"T_457a2_row22_col1377\" class=\"data row22 col1377\" >2.476000</td>\n",
       "      <td id=\"T_457a2_row22_col1378\" class=\"data row22 col1378\" >2.529000</td>\n",
       "      <td id=\"T_457a2_row22_col1379\" class=\"data row22 col1379\" >2.692000</td>\n",
       "      <td id=\"T_457a2_row22_col1380\" class=\"data row22 col1380\" >2.079000</td>\n",
       "      <td id=\"T_457a2_row22_col1381\" class=\"data row22 col1381\" >3.692000</td>\n",
       "      <td id=\"T_457a2_row22_col1382\" class=\"data row22 col1382\" >2.153000</td>\n",
       "      <td id=\"T_457a2_row22_col1383\" class=\"data row22 col1383\" >3.125000</td>\n",
       "      <td id=\"T_457a2_row22_col1384\" class=\"data row22 col1384\" >2.538000</td>\n",
       "      <td id=\"T_457a2_row22_col1385\" class=\"data row22 col1385\" >2.909000</td>\n",
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       "      <td id=\"T_457a2_row23_col980\" class=\"data row23 col980\" >806.890000</td>\n",
       "      <td id=\"T_457a2_row23_col981\" class=\"data row23 col981\" >527.890000</td>\n",
       "      <td id=\"T_457a2_row23_col982\" class=\"data row23 col982\" >209.100000</td>\n",
       "      <td id=\"T_457a2_row23_col983\" class=\"data row23 col983\" >151.500000</td>\n",
       "      <td id=\"T_457a2_row23_col984\" class=\"data row23 col984\" >499.260000</td>\n",
       "      <td id=\"T_457a2_row23_col985\" class=\"data row23 col985\" >617.730000</td>\n",
       "      <td id=\"T_457a2_row23_col986\" class=\"data row23 col986\" >888.050000</td>\n",
       "      <td id=\"T_457a2_row23_col987\" class=\"data row23 col987\" >975.120000</td>\n",
       "      <td id=\"T_457a2_row23_col988\" class=\"data row23 col988\" >445.890000</td>\n",
       "      <td id=\"T_457a2_row23_col989\" class=\"data row23 col989\" >1153.500000</td>\n",
       "      <td id=\"T_457a2_row23_col990\" class=\"data row23 col990\" >528.290000</td>\n",
       "      <td id=\"T_457a2_row23_col991\" class=\"data row23 col991\" >504.770000</td>\n",
       "      <td id=\"T_457a2_row23_col992\" class=\"data row23 col992\" >390.610000</td>\n",
       "      <td id=\"T_457a2_row23_col993\" class=\"data row23 col993\" >537.410000</td>\n",
       "      <td id=\"T_457a2_row23_col994\" class=\"data row23 col994\" >620.290000</td>\n",
       "      <td id=\"T_457a2_row23_col995\" class=\"data row23 col995\" >251.540000</td>\n",
       "      <td id=\"T_457a2_row23_col996\" class=\"data row23 col996\" >734.280000</td>\n",
       "      <td id=\"T_457a2_row23_col997\" class=\"data row23 col997\" >273.470000</td>\n",
       "      <td id=\"T_457a2_row23_col998\" class=\"data row23 col998\" >242.270000</td>\n",
       "      <td id=\"T_457a2_row23_col999\" class=\"data row23 col999\" >524.280000</td>\n",
       "      <td id=\"T_457a2_row23_col1000\" class=\"data row23 col1000\" >253.300000</td>\n",
       "      <td id=\"T_457a2_row23_col1001\" class=\"data row23 col1001\" >199.770000</td>\n",
       "      <td id=\"T_457a2_row23_col1002\" class=\"data row23 col1002\" >236.360000</td>\n",
       "      <td id=\"T_457a2_row23_col1003\" class=\"data row23 col1003\" >350.890000</td>\n",
       "      <td id=\"T_457a2_row23_col1004\" class=\"data row23 col1004\" >173.840000</td>\n",
       "      <td id=\"T_457a2_row23_col1005\" class=\"data row23 col1005\" >182.830000</td>\n",
       "      <td id=\"T_457a2_row23_col1006\" class=\"data row23 col1006\" >147.150000</td>\n",
       "      <td id=\"T_457a2_row23_col1007\" class=\"data row23 col1007\" >379.280000</td>\n",
       "      <td id=\"T_457a2_row23_col1008\" class=\"data row23 col1008\" >316.980000</td>\n",
       "      <td id=\"T_457a2_row23_col1009\" class=\"data row23 col1009\" >312.110000</td>\n",
       "      <td id=\"T_457a2_row23_col1010\" class=\"data row23 col1010\" >254.020000</td>\n",
       "      <td id=\"T_457a2_row23_col1011\" class=\"data row23 col1011\" >249.340000</td>\n",
       "      <td id=\"T_457a2_row23_col1012\" class=\"data row23 col1012\" >289.740000</td>\n",
       "      <td id=\"T_457a2_row23_col1013\" class=\"data row23 col1013\" >242.450000</td>\n",
       "      <td id=\"T_457a2_row23_col1014\" class=\"data row23 col1014\" >430.970000</td>\n",
       "      <td id=\"T_457a2_row23_col1015\" class=\"data row23 col1015\" >226.150000</td>\n",
       "      <td id=\"T_457a2_row23_col1016\" class=\"data row23 col1016\" >186.600000</td>\n",
       "      <td id=\"T_457a2_row23_col1017\" class=\"data row23 col1017\" >130.230000</td>\n",
       "      <td id=\"T_457a2_row23_col1018\" class=\"data row23 col1018\" >132.350000</td>\n",
       "      <td id=\"T_457a2_row23_col1019\" class=\"data row23 col1019\" >526.270000</td>\n",
       "      <td id=\"T_457a2_row23_col1020\" class=\"data row23 col1020\" >733.180000</td>\n",
       "      <td id=\"T_457a2_row23_col1021\" class=\"data row23 col1021\" >193.310000</td>\n",
       "      <td id=\"T_457a2_row23_col1022\" class=\"data row23 col1022\" >241.430000</td>\n",
       "      <td id=\"T_457a2_row23_col1023\" class=\"data row23 col1023\" >402.130000</td>\n",
       "      <td id=\"T_457a2_row23_col1024\" class=\"data row23 col1024\" >210.760000</td>\n",
       "      <td id=\"T_457a2_row23_col1025\" class=\"data row23 col1025\" >682.080000</td>\n",
       "      <td id=\"T_457a2_row23_col1026\" class=\"data row23 col1026\" >254.510000</td>\n",
       "      <td id=\"T_457a2_row23_col1027\" class=\"data row23 col1027\" >224.220000</td>\n",
       "      <td id=\"T_457a2_row23_col1028\" class=\"data row23 col1028\" >491.900000</td>\n",
       "      <td id=\"T_457a2_row23_col1029\" class=\"data row23 col1029\" >242.910000</td>\n",
       "      <td id=\"T_457a2_row23_col1030\" class=\"data row23 col1030\" >228.920000</td>\n",
       "      <td id=\"T_457a2_row23_col1031\" class=\"data row23 col1031\" >476.270000</td>\n",
       "      <td id=\"T_457a2_row23_col1032\" class=\"data row23 col1032\" >495.970000</td>\n",
       "      <td id=\"T_457a2_row23_col1033\" class=\"data row23 col1033\" >417.640000</td>\n",
       "      <td id=\"T_457a2_row23_col1034\" class=\"data row23 col1034\" >1137.000000</td>\n",
       "      <td id=\"T_457a2_row23_col1035\" class=\"data row23 col1035\" >406.820000</td>\n",
       "      <td id=\"T_457a2_row23_col1036\" class=\"data row23 col1036\" >688.670000</td>\n",
       "      <td id=\"T_457a2_row23_col1037\" class=\"data row23 col1037\" >785.680000</td>\n",
       "      <td id=\"T_457a2_row23_col1038\" class=\"data row23 col1038\" >858.460000</td>\n",
       "      <td id=\"T_457a2_row23_col1039\" class=\"data row23 col1039\" >631.480000</td>\n",
       "      <td id=\"T_457a2_row23_col1040\" class=\"data row23 col1040\" >612.480000</td>\n",
       "      <td id=\"T_457a2_row23_col1041\" class=\"data row23 col1041\" >720.920000</td>\n",
       "      <td id=\"T_457a2_row23_col1042\" class=\"data row23 col1042\" >650.950000</td>\n",
       "      <td id=\"T_457a2_row23_col1043\" class=\"data row23 col1043\" >603.220000</td>\n",
       "      <td id=\"T_457a2_row23_col1044\" class=\"data row23 col1044\" >425.430000</td>\n",
       "      <td id=\"T_457a2_row23_col1045\" class=\"data row23 col1045\" >580.760000</td>\n",
       "      <td id=\"T_457a2_row23_col1046\" class=\"data row23 col1046\" >744.440000</td>\n",
       "      <td id=\"T_457a2_row23_col1047\" class=\"data row23 col1047\" >419.430000</td>\n",
       "      <td id=\"T_457a2_row23_col1048\" class=\"data row23 col1048\" >506.440000</td>\n",
       "      <td id=\"T_457a2_row23_col1049\" class=\"data row23 col1049\" >406.710000</td>\n",
       "      <td id=\"T_457a2_row23_col1050\" class=\"data row23 col1050\" >286.600000</td>\n",
       "      <td id=\"T_457a2_row23_col1051\" class=\"data row23 col1051\" >779.310000</td>\n",
       "      <td id=\"T_457a2_row23_col1052\" class=\"data row23 col1052\" >1238.300000</td>\n",
       "      <td id=\"T_457a2_row23_col1053\" class=\"data row23 col1053\" >1016.500000</td>\n",
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       "      <td id=\"T_457a2_row23_col1055\" class=\"data row23 col1055\" >181.590000</td>\n",
       "      <td id=\"T_457a2_row23_col1056\" class=\"data row23 col1056\" >378.590000</td>\n",
       "      <td id=\"T_457a2_row23_col1057\" class=\"data row23 col1057\" >211.850000</td>\n",
       "      <td id=\"T_457a2_row23_col1058\" class=\"data row23 col1058\" >181.600000</td>\n",
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       "      <td id=\"T_457a2_row23_col1062\" class=\"data row23 col1062\" >287.650000</td>\n",
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       "      <td id=\"T_457a2_row23_col1177\" class=\"data row23 col1177\" >3.363000</td>\n",
       "      <td id=\"T_457a2_row23_col1178\" class=\"data row23 col1178\" >1.910000</td>\n",
       "      <td id=\"T_457a2_row23_col1179\" class=\"data row23 col1179\" >2.148000</td>\n",
       "      <td id=\"T_457a2_row23_col1180\" class=\"data row23 col1180\" >2.513000</td>\n",
       "      <td id=\"T_457a2_row23_col1181\" class=\"data row23 col1181\" >2.689000</td>\n",
       "      <td id=\"T_457a2_row23_col1182\" class=\"data row23 col1182\" >2.721000</td>\n",
       "      <td id=\"T_457a2_row23_col1183\" class=\"data row23 col1183\" >2.943000</td>\n",
       "      <td id=\"T_457a2_row23_col1184\" class=\"data row23 col1184\" >3.613000</td>\n",
       "      <td id=\"T_457a2_row23_col1185\" class=\"data row23 col1185\" >2.763000</td>\n",
       "      <td id=\"T_457a2_row23_col1186\" class=\"data row23 col1186\" >2.342000</td>\n",
       "      <td id=\"T_457a2_row23_col1187\" class=\"data row23 col1187\" >2.820000</td>\n",
       "      <td id=\"T_457a2_row23_col1188\" class=\"data row23 col1188\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row23_col1189\" class=\"data row23 col1189\" >4.097000</td>\n",
       "      <td id=\"T_457a2_row23_col1190\" class=\"data row23 col1190\" >3.401000</td>\n",
       "      <td id=\"T_457a2_row23_col1191\" class=\"data row23 col1191\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row23_col1192\" class=\"data row23 col1192\" >3.268000</td>\n",
       "      <td id=\"T_457a2_row23_col1193\" class=\"data row23 col1193\" >3.378000</td>\n",
       "      <td id=\"T_457a2_row23_col1194\" class=\"data row23 col1194\" >2.641000</td>\n",
       "      <td id=\"T_457a2_row23_col1195\" class=\"data row23 col1195\" >4.393000</td>\n",
       "      <td id=\"T_457a2_row23_col1196\" class=\"data row23 col1196\" >2.909000</td>\n",
       "      <td id=\"T_457a2_row23_col1197\" class=\"data row23 col1197\" >2.815000</td>\n",
       "      <td id=\"T_457a2_row23_col1198\" class=\"data row23 col1198\" >2.787000</td>\n",
       "      <td id=\"T_457a2_row23_col1199\" class=\"data row23 col1199\" >2.038000</td>\n",
       "      <td id=\"T_457a2_row23_col1200\" class=\"data row23 col1200\" >1.944000</td>\n",
       "      <td id=\"T_457a2_row23_col1201\" class=\"data row23 col1201\" >3.438000</td>\n",
       "      <td id=\"T_457a2_row23_col1202\" class=\"data row23 col1202\" >2.153000</td>\n",
       "      <td id=\"T_457a2_row23_col1203\" class=\"data row23 col1203\" >3.019000</td>\n",
       "      <td id=\"T_457a2_row23_col1204\" class=\"data row23 col1204\" >2.740000</td>\n",
       "      <td id=\"T_457a2_row23_col1205\" class=\"data row23 col1205\" >3.168000</td>\n",
       "      <td id=\"T_457a2_row23_col1206\" class=\"data row23 col1206\" >3.843000</td>\n",
       "      <td id=\"T_457a2_row23_col1207\" class=\"data row23 col1207\" >2.659000</td>\n",
       "      <td id=\"T_457a2_row23_col1208\" class=\"data row23 col1208\" >3.366000</td>\n",
       "      <td id=\"T_457a2_row23_col1209\" class=\"data row23 col1209\" >3.144000</td>\n",
       "      <td id=\"T_457a2_row23_col1210\" class=\"data row23 col1210\" >2.879000</td>\n",
       "      <td id=\"T_457a2_row23_col1211\" class=\"data row23 col1211\" >3.053000</td>\n",
       "      <td id=\"T_457a2_row23_col1212\" class=\"data row23 col1212\" >2.523000</td>\n",
       "      <td id=\"T_457a2_row23_col1213\" class=\"data row23 col1213\" >3.044000</td>\n",
       "      <td id=\"T_457a2_row23_col1214\" class=\"data row23 col1214\" >3.763000</td>\n",
       "      <td id=\"T_457a2_row23_col1215\" class=\"data row23 col1215\" >3.158000</td>\n",
       "      <td id=\"T_457a2_row23_col1216\" class=\"data row23 col1216\" >2.607000</td>\n",
       "      <td id=\"T_457a2_row23_col1217\" class=\"data row23 col1217\" >2.553000</td>\n",
       "      <td id=\"T_457a2_row23_col1218\" class=\"data row23 col1218\" >2.864000</td>\n",
       "      <td id=\"T_457a2_row23_col1219\" class=\"data row23 col1219\" >2.454000</td>\n",
       "      <td id=\"T_457a2_row23_col1220\" class=\"data row23 col1220\" >2.991000</td>\n",
       "      <td id=\"T_457a2_row23_col1221\" class=\"data row23 col1221\" >2.301000</td>\n",
       "      <td id=\"T_457a2_row23_col1222\" class=\"data row23 col1222\" >2.640000</td>\n",
       "      <td id=\"T_457a2_row23_col1223\" class=\"data row23 col1223\" >2.683000</td>\n",
       "      <td id=\"T_457a2_row23_col1224\" class=\"data row23 col1224\" >2.187000</td>\n",
       "      <td id=\"T_457a2_row23_col1225\" class=\"data row23 col1225\" >2.305000</td>\n",
       "      <td id=\"T_457a2_row23_col1226\" class=\"data row23 col1226\" >2.912000</td>\n",
       "      <td id=\"T_457a2_row23_col1227\" class=\"data row23 col1227\" >2.183000</td>\n",
       "      <td id=\"T_457a2_row23_col1228\" class=\"data row23 col1228\" >2.515000</td>\n",
       "      <td id=\"T_457a2_row23_col1229\" class=\"data row23 col1229\" >2.373000</td>\n",
       "      <td id=\"T_457a2_row23_col1230\" class=\"data row23 col1230\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row23_col1231\" class=\"data row23 col1231\" >2.547000</td>\n",
       "      <td id=\"T_457a2_row23_col1232\" class=\"data row23 col1232\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row23_col1233\" class=\"data row23 col1233\" >2.594000</td>\n",
       "      <td id=\"T_457a2_row23_col1234\" class=\"data row23 col1234\" >2.496000</td>\n",
       "      <td id=\"T_457a2_row23_col1235\" class=\"data row23 col1235\" >2.561000</td>\n",
       "      <td id=\"T_457a2_row23_col1236\" class=\"data row23 col1236\" >2.924000</td>\n",
       "      <td id=\"T_457a2_row23_col1237\" class=\"data row23 col1237\" >2.505000</td>\n",
       "      <td id=\"T_457a2_row23_col1238\" class=\"data row23 col1238\" >2.411000</td>\n",
       "      <td id=\"T_457a2_row23_col1239\" class=\"data row23 col1239\" >2.880000</td>\n",
       "      <td id=\"T_457a2_row23_col1240\" class=\"data row23 col1240\" >2.284000</td>\n",
       "      <td id=\"T_457a2_row23_col1241\" class=\"data row23 col1241\" >2.829000</td>\n",
       "      <td id=\"T_457a2_row23_col1242\" class=\"data row23 col1242\" >2.256000</td>\n",
       "      <td id=\"T_457a2_row23_col1243\" class=\"data row23 col1243\" >2.557000</td>\n",
       "      <td id=\"T_457a2_row23_col1244\" class=\"data row23 col1244\" >2.291000</td>\n",
       "      <td id=\"T_457a2_row23_col1245\" class=\"data row23 col1245\" >3.173000</td>\n",
       "      <td id=\"T_457a2_row23_col1246\" class=\"data row23 col1246\" >3.077000</td>\n",
       "      <td id=\"T_457a2_row23_col1247\" class=\"data row23 col1247\" >3.648000</td>\n",
       "      <td id=\"T_457a2_row23_col1248\" class=\"data row23 col1248\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row23_col1249\" class=\"data row23 col1249\" >3.128000</td>\n",
       "      <td id=\"T_457a2_row23_col1250\" class=\"data row23 col1250\" >3.057000</td>\n",
       "      <td id=\"T_457a2_row23_col1251\" class=\"data row23 col1251\" >2.984000</td>\n",
       "      <td id=\"T_457a2_row23_col1252\" class=\"data row23 col1252\" >2.459000</td>\n",
       "      <td id=\"T_457a2_row23_col1253\" class=\"data row23 col1253\" >2.085000</td>\n",
       "      <td id=\"T_457a2_row23_col1254\" class=\"data row23 col1254\" >2.123000</td>\n",
       "      <td id=\"T_457a2_row23_col1255\" class=\"data row23 col1255\" >3.259000</td>\n",
       "      <td id=\"T_457a2_row23_col1256\" class=\"data row23 col1256\" >2.727000</td>\n",
       "      <td id=\"T_457a2_row23_col1257\" class=\"data row23 col1257\" >2.665000</td>\n",
       "      <td id=\"T_457a2_row23_col1258\" class=\"data row23 col1258\" >3.515000</td>\n",
       "      <td id=\"T_457a2_row23_col1259\" class=\"data row23 col1259\" >2.832000</td>\n",
       "      <td id=\"T_457a2_row23_col1260\" class=\"data row23 col1260\" >3.390000</td>\n",
       "      <td id=\"T_457a2_row23_col1261\" class=\"data row23 col1261\" >3.348000</td>\n",
       "      <td id=\"T_457a2_row23_col1262\" class=\"data row23 col1262\" >2.505000</td>\n",
       "      <td id=\"T_457a2_row23_col1263\" class=\"data row23 col1263\" >3.432000</td>\n",
       "      <td id=\"T_457a2_row23_col1264\" class=\"data row23 col1264\" >1.659000</td>\n",
       "      <td id=\"T_457a2_row23_col1265\" class=\"data row23 col1265\" >1.938000</td>\n",
       "      <td id=\"T_457a2_row23_col1266\" class=\"data row23 col1266\" >1.813000</td>\n",
       "      <td id=\"T_457a2_row23_col1267\" class=\"data row23 col1267\" >1.984000</td>\n",
       "      <td id=\"T_457a2_row23_col1268\" class=\"data row23 col1268\" >2.303000</td>\n",
       "      <td id=\"T_457a2_row23_col1269\" class=\"data row23 col1269\" >2.282000</td>\n",
       "      <td id=\"T_457a2_row23_col1270\" class=\"data row23 col1270\" >2.359000</td>\n",
       "      <td id=\"T_457a2_row23_col1271\" class=\"data row23 col1271\" >2.161000</td>\n",
       "      <td id=\"T_457a2_row23_col1272\" class=\"data row23 col1272\" >1.243000</td>\n",
       "      <td id=\"T_457a2_row23_col1273\" class=\"data row23 col1273\" >2.218000</td>\n",
       "      <td id=\"T_457a2_row23_col1274\" class=\"data row23 col1274\" >2.223000</td>\n",
       "      <td id=\"T_457a2_row23_col1275\" class=\"data row23 col1275\" >2.772000</td>\n",
       "      <td id=\"T_457a2_row23_col1276\" class=\"data row23 col1276\" >2.208000</td>\n",
       "      <td id=\"T_457a2_row23_col1277\" class=\"data row23 col1277\" >2.502000</td>\n",
       "      <td id=\"T_457a2_row23_col1278\" class=\"data row23 col1278\" >2.184000</td>\n",
       "      <td id=\"T_457a2_row23_col1279\" class=\"data row23 col1279\" >2.301000</td>\n",
       "      <td id=\"T_457a2_row23_col1280\" class=\"data row23 col1280\" >1.785000</td>\n",
       "      <td id=\"T_457a2_row23_col1281\" class=\"data row23 col1281\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row23_col1282\" class=\"data row23 col1282\" >2.053000</td>\n",
       "      <td id=\"T_457a2_row23_col1283\" class=\"data row23 col1283\" >2.583000</td>\n",
       "      <td id=\"T_457a2_row23_col1284\" class=\"data row23 col1284\" >2.920000</td>\n",
       "      <td id=\"T_457a2_row23_col1285\" class=\"data row23 col1285\" >2.630000</td>\n",
       "      <td id=\"T_457a2_row23_col1286\" class=\"data row23 col1286\" >2.110000</td>\n",
       "      <td id=\"T_457a2_row23_col1287\" class=\"data row23 col1287\" >2.656000</td>\n",
       "      <td id=\"T_457a2_row23_col1288\" class=\"data row23 col1288\" >3.263000</td>\n",
       "      <td id=\"T_457a2_row23_col1289\" class=\"data row23 col1289\" >3.420000</td>\n",
       "      <td id=\"T_457a2_row23_col1290\" class=\"data row23 col1290\" >2.412000</td>\n",
       "      <td id=\"T_457a2_row23_col1291\" class=\"data row23 col1291\" >2.727000</td>\n",
       "      <td id=\"T_457a2_row23_col1292\" class=\"data row23 col1292\" >1.975000</td>\n",
       "      <td id=\"T_457a2_row23_col1293\" class=\"data row23 col1293\" >2.992000</td>\n",
       "      <td id=\"T_457a2_row23_col1294\" class=\"data row23 col1294\" >3.112000</td>\n",
       "      <td id=\"T_457a2_row23_col1295\" class=\"data row23 col1295\" >3.205000</td>\n",
       "      <td id=\"T_457a2_row23_col1296\" class=\"data row23 col1296\" >3.295000</td>\n",
       "      <td id=\"T_457a2_row23_col1297\" class=\"data row23 col1297\" >3.301000</td>\n",
       "      <td id=\"T_457a2_row23_col1298\" class=\"data row23 col1298\" >2.607000</td>\n",
       "      <td id=\"T_457a2_row23_col1299\" class=\"data row23 col1299\" >2.582000</td>\n",
       "      <td id=\"T_457a2_row23_col1300\" class=\"data row23 col1300\" >1.832000</td>\n",
       "      <td id=\"T_457a2_row23_col1301\" class=\"data row23 col1301\" >2.338000</td>\n",
       "      <td id=\"T_457a2_row23_col1302\" class=\"data row23 col1302\" >1.841000</td>\n",
       "      <td id=\"T_457a2_row23_col1303\" class=\"data row23 col1303\" >2.383000</td>\n",
       "      <td id=\"T_457a2_row23_col1304\" class=\"data row23 col1304\" >2.623000</td>\n",
       "      <td id=\"T_457a2_row23_col1305\" class=\"data row23 col1305\" >2.072000</td>\n",
       "      <td id=\"T_457a2_row23_col1306\" class=\"data row23 col1306\" >3.027000</td>\n",
       "      <td id=\"T_457a2_row23_col1307\" class=\"data row23 col1307\" >2.907000</td>\n",
       "      <td id=\"T_457a2_row23_col1308\" class=\"data row23 col1308\" >2.169000</td>\n",
       "      <td id=\"T_457a2_row23_col1309\" class=\"data row23 col1309\" >2.514000</td>\n",
       "      <td id=\"T_457a2_row23_col1310\" class=\"data row23 col1310\" >2.101000</td>\n",
       "      <td id=\"T_457a2_row23_col1311\" class=\"data row23 col1311\" >1.951000</td>\n",
       "      <td id=\"T_457a2_row23_col1312\" class=\"data row23 col1312\" >2.180000</td>\n",
       "      <td id=\"T_457a2_row23_col1313\" class=\"data row23 col1313\" >1.993000</td>\n",
       "      <td id=\"T_457a2_row23_col1314\" class=\"data row23 col1314\" >2.026000</td>\n",
       "      <td id=\"T_457a2_row23_col1315\" class=\"data row23 col1315\" >1.667000</td>\n",
       "      <td id=\"T_457a2_row23_col1316\" class=\"data row23 col1316\" >1.469000</td>\n",
       "      <td id=\"T_457a2_row23_col1317\" class=\"data row23 col1317\" >2.741000</td>\n",
       "      <td id=\"T_457a2_row23_col1318\" class=\"data row23 col1318\" >2.354000</td>\n",
       "      <td id=\"T_457a2_row23_col1319\" class=\"data row23 col1319\" >2.811000</td>\n",
       "      <td id=\"T_457a2_row23_col1320\" class=\"data row23 col1320\" >3.127000</td>\n",
       "      <td id=\"T_457a2_row23_col1321\" class=\"data row23 col1321\" >2.214000</td>\n",
       "      <td id=\"T_457a2_row23_col1322\" class=\"data row23 col1322\" >2.773000</td>\n",
       "      <td id=\"T_457a2_row23_col1323\" class=\"data row23 col1323\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row23_col1324\" class=\"data row23 col1324\" >2.974000</td>\n",
       "      <td id=\"T_457a2_row23_col1325\" class=\"data row23 col1325\" >2.886000</td>\n",
       "      <td id=\"T_457a2_row23_col1326\" class=\"data row23 col1326\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row23_col1327\" class=\"data row23 col1327\" >3.221000</td>\n",
       "      <td id=\"T_457a2_row23_col1328\" class=\"data row23 col1328\" >2.776000</td>\n",
       "      <td id=\"T_457a2_row23_col1329\" class=\"data row23 col1329\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row23_col1330\" class=\"data row23 col1330\" >2.116000</td>\n",
       "      <td id=\"T_457a2_row23_col1331\" class=\"data row23 col1331\" >2.526000</td>\n",
       "      <td id=\"T_457a2_row23_col1332\" class=\"data row23 col1332\" >3.151000</td>\n",
       "      <td id=\"T_457a2_row23_col1333\" class=\"data row23 col1333\" >3.319000</td>\n",
       "      <td id=\"T_457a2_row23_col1334\" class=\"data row23 col1334\" >2.539000</td>\n",
       "      <td id=\"T_457a2_row23_col1335\" class=\"data row23 col1335\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row23_col1336\" class=\"data row23 col1336\" >2.725000</td>\n",
       "      <td id=\"T_457a2_row23_col1337\" class=\"data row23 col1337\" >3.327000</td>\n",
       "      <td id=\"T_457a2_row23_col1338\" class=\"data row23 col1338\" >2.295000</td>\n",
       "      <td id=\"T_457a2_row23_col1339\" class=\"data row23 col1339\" >2.765000</td>\n",
       "      <td id=\"T_457a2_row23_col1340\" class=\"data row23 col1340\" >2.390000</td>\n",
       "      <td id=\"T_457a2_row23_col1341\" class=\"data row23 col1341\" >2.640000</td>\n",
       "      <td id=\"T_457a2_row23_col1342\" class=\"data row23 col1342\" >2.560000</td>\n",
       "      <td id=\"T_457a2_row23_col1343\" class=\"data row23 col1343\" >2.347000</td>\n",
       "      <td id=\"T_457a2_row23_col1344\" class=\"data row23 col1344\" >2.425000</td>\n",
       "      <td id=\"T_457a2_row23_col1345\" class=\"data row23 col1345\" >2.072000</td>\n",
       "      <td id=\"T_457a2_row23_col1346\" class=\"data row23 col1346\" >2.444000</td>\n",
       "      <td id=\"T_457a2_row23_col1347\" class=\"data row23 col1347\" >2.239000</td>\n",
       "      <td id=\"T_457a2_row23_col1348\" class=\"data row23 col1348\" >2.410000</td>\n",
       "      <td id=\"T_457a2_row23_col1349\" class=\"data row23 col1349\" >2.157000</td>\n",
       "      <td id=\"T_457a2_row23_col1350\" class=\"data row23 col1350\" >2.715000</td>\n",
       "      <td id=\"T_457a2_row23_col1351\" class=\"data row23 col1351\" >3.222000</td>\n",
       "      <td id=\"T_457a2_row23_col1352\" class=\"data row23 col1352\" >2.049000</td>\n",
       "      <td id=\"T_457a2_row23_col1353\" class=\"data row23 col1353\" >2.807000</td>\n",
       "      <td id=\"T_457a2_row23_col1354\" class=\"data row23 col1354\" >2.588000</td>\n",
       "      <td id=\"T_457a2_row23_col1355\" class=\"data row23 col1355\" >2.334000</td>\n",
       "      <td id=\"T_457a2_row23_col1356\" class=\"data row23 col1356\" >1.946000</td>\n",
       "      <td id=\"T_457a2_row23_col1357\" class=\"data row23 col1357\" >3.572000</td>\n",
       "      <td id=\"T_457a2_row23_col1358\" class=\"data row23 col1358\" >1.977000</td>\n",
       "      <td id=\"T_457a2_row23_col1359\" class=\"data row23 col1359\" >2.101000</td>\n",
       "      <td id=\"T_457a2_row23_col1360\" class=\"data row23 col1360\" >2.750000</td>\n",
       "      <td id=\"T_457a2_row23_col1361\" class=\"data row23 col1361\" >2.504000</td>\n",
       "      <td id=\"T_457a2_row23_col1362\" class=\"data row23 col1362\" >2.544000</td>\n",
       "      <td id=\"T_457a2_row23_col1363\" class=\"data row23 col1363\" >3.175000</td>\n",
       "      <td id=\"T_457a2_row23_col1364\" class=\"data row23 col1364\" >3.016000</td>\n",
       "      <td id=\"T_457a2_row23_col1365\" class=\"data row23 col1365\" >2.462000</td>\n",
       "      <td id=\"T_457a2_row23_col1366\" class=\"data row23 col1366\" >2.643000</td>\n",
       "      <td id=\"T_457a2_row23_col1367\" class=\"data row23 col1367\" >2.182000</td>\n",
       "      <td id=\"T_457a2_row23_col1368\" class=\"data row23 col1368\" >2.327000</td>\n",
       "      <td id=\"T_457a2_row23_col1369\" class=\"data row23 col1369\" >4.035000</td>\n",
       "      <td id=\"T_457a2_row23_col1370\" class=\"data row23 col1370\" >3.062000</td>\n",
       "      <td id=\"T_457a2_row23_col1371\" class=\"data row23 col1371\" >2.931000</td>\n",
       "      <td id=\"T_457a2_row23_col1372\" class=\"data row23 col1372\" >3.670000</td>\n",
       "      <td id=\"T_457a2_row23_col1373\" class=\"data row23 col1373\" >3.357000</td>\n",
       "      <td id=\"T_457a2_row23_col1374\" class=\"data row23 col1374\" >2.597000</td>\n",
       "      <td id=\"T_457a2_row23_col1375\" class=\"data row23 col1375\" >4.373000</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_457a2_row24_col970\" class=\"data row24 col970\" >937.300000</td>\n",
       "      <td id=\"T_457a2_row24_col971\" class=\"data row24 col971\" >907.060000</td>\n",
       "      <td id=\"T_457a2_row24_col972\" class=\"data row24 col972\" >1080.300000</td>\n",
       "      <td id=\"T_457a2_row24_col973\" class=\"data row24 col973\" >670.400000</td>\n",
       "      <td id=\"T_457a2_row24_col974\" class=\"data row24 col974\" >640.800000</td>\n",
       "      <td id=\"T_457a2_row24_col975\" class=\"data row24 col975\" >518.150000</td>\n",
       "      <td id=\"T_457a2_row24_col976\" class=\"data row24 col976\" >954.010000</td>\n",
       "      <td id=\"T_457a2_row24_col977\" class=\"data row24 col977\" >489.670000</td>\n",
       "      <td id=\"T_457a2_row24_col978\" class=\"data row24 col978\" >295.430000</td>\n",
       "      <td id=\"T_457a2_row24_col979\" class=\"data row24 col979\" >395.060000</td>\n",
       "      <td id=\"T_457a2_row24_col980\" class=\"data row24 col980\" >839.700000</td>\n",
       "      <td id=\"T_457a2_row24_col981\" class=\"data row24 col981\" >880.690000</td>\n",
       "      <td id=\"T_457a2_row24_col982\" class=\"data row24 col982\" >375.040000</td>\n",
       "      <td id=\"T_457a2_row24_col983\" class=\"data row24 col983\" >195.570000</td>\n",
       "      <td id=\"T_457a2_row24_col984\" class=\"data row24 col984\" >522.650000</td>\n",
       "      <td id=\"T_457a2_row24_col985\" class=\"data row24 col985\" >411.250000</td>\n",
       "      <td id=\"T_457a2_row24_col986\" class=\"data row24 col986\" >985.700000</td>\n",
       "      <td id=\"T_457a2_row24_col987\" class=\"data row24 col987\" >1081.100000</td>\n",
       "      <td id=\"T_457a2_row24_col988\" class=\"data row24 col988\" >371.740000</td>\n",
       "      <td id=\"T_457a2_row24_col989\" class=\"data row24 col989\" >1324.900000</td>\n",
       "      <td id=\"T_457a2_row24_col990\" class=\"data row24 col990\" >654.190000</td>\n",
       "      <td id=\"T_457a2_row24_col991\" class=\"data row24 col991\" >437.190000</td>\n",
       "      <td id=\"T_457a2_row24_col992\" class=\"data row24 col992\" >414.190000</td>\n",
       "      <td id=\"T_457a2_row24_col993\" class=\"data row24 col993\" >446.970000</td>\n",
       "      <td id=\"T_457a2_row24_col994\" class=\"data row24 col994\" >754.960000</td>\n",
       "      <td id=\"T_457a2_row24_col995\" class=\"data row24 col995\" >379.750000</td>\n",
       "      <td id=\"T_457a2_row24_col996\" class=\"data row24 col996\" >714.820000</td>\n",
       "      <td id=\"T_457a2_row24_col997\" class=\"data row24 col997\" >336.110000</td>\n",
       "      <td id=\"T_457a2_row24_col998\" class=\"data row24 col998\" >306.000000</td>\n",
       "      <td id=\"T_457a2_row24_col999\" class=\"data row24 col999\" >955.250000</td>\n",
       "      <td id=\"T_457a2_row24_col1000\" class=\"data row24 col1000\" >428.040000</td>\n",
       "      <td id=\"T_457a2_row24_col1001\" class=\"data row24 col1001\" >219.090000</td>\n",
       "      <td id=\"T_457a2_row24_col1002\" class=\"data row24 col1002\" >456.450000</td>\n",
       "      <td id=\"T_457a2_row24_col1003\" class=\"data row24 col1003\" >352.500000</td>\n",
       "      <td id=\"T_457a2_row24_col1004\" class=\"data row24 col1004\" >228.090000</td>\n",
       "      <td id=\"T_457a2_row24_col1005\" class=\"data row24 col1005\" >206.220000</td>\n",
       "      <td id=\"T_457a2_row24_col1006\" class=\"data row24 col1006\" >133.370000</td>\n",
       "      <td id=\"T_457a2_row24_col1007\" class=\"data row24 col1007\" >340.650000</td>\n",
       "      <td id=\"T_457a2_row24_col1008\" class=\"data row24 col1008\" >271.380000</td>\n",
       "      <td id=\"T_457a2_row24_col1009\" class=\"data row24 col1009\" >312.870000</td>\n",
       "      <td id=\"T_457a2_row24_col1010\" class=\"data row24 col1010\" >247.820000</td>\n",
       "      <td id=\"T_457a2_row24_col1011\" class=\"data row24 col1011\" >335.380000</td>\n",
       "      <td id=\"T_457a2_row24_col1012\" class=\"data row24 col1012\" >260.250000</td>\n",
       "      <td id=\"T_457a2_row24_col1013\" class=\"data row24 col1013\" >271.250000</td>\n",
       "      <td id=\"T_457a2_row24_col1014\" class=\"data row24 col1014\" >308.240000</td>\n",
       "      <td id=\"T_457a2_row24_col1015\" class=\"data row24 col1015\" >176.530000</td>\n",
       "      <td id=\"T_457a2_row24_col1016\" class=\"data row24 col1016\" >161.200000</td>\n",
       "      <td id=\"T_457a2_row24_col1017\" class=\"data row24 col1017\" >143.200000</td>\n",
       "      <td id=\"T_457a2_row24_col1018\" class=\"data row24 col1018\" >173.520000</td>\n",
       "      <td id=\"T_457a2_row24_col1019\" class=\"data row24 col1019\" >575.870000</td>\n",
       "      <td id=\"T_457a2_row24_col1020\" class=\"data row24 col1020\" >745.260000</td>\n",
       "      <td id=\"T_457a2_row24_col1021\" class=\"data row24 col1021\" >193.140000</td>\n",
       "      <td id=\"T_457a2_row24_col1022\" class=\"data row24 col1022\" >272.240000</td>\n",
       "      <td id=\"T_457a2_row24_col1023\" class=\"data row24 col1023\" >414.590000</td>\n",
       "      <td id=\"T_457a2_row24_col1024\" class=\"data row24 col1024\" >311.770000</td>\n",
       "      <td id=\"T_457a2_row24_col1025\" class=\"data row24 col1025\" >672.340000</td>\n",
       "      <td id=\"T_457a2_row24_col1026\" class=\"data row24 col1026\" >244.290000</td>\n",
       "      <td id=\"T_457a2_row24_col1027\" class=\"data row24 col1027\" >271.310000</td>\n",
       "      <td id=\"T_457a2_row24_col1028\" class=\"data row24 col1028\" >511.150000</td>\n",
       "      <td id=\"T_457a2_row24_col1029\" class=\"data row24 col1029\" >205.730000</td>\n",
       "      <td id=\"T_457a2_row24_col1030\" class=\"data row24 col1030\" >242.610000</td>\n",
       "      <td id=\"T_457a2_row24_col1031\" class=\"data row24 col1031\" >539.110000</td>\n",
       "      <td id=\"T_457a2_row24_col1032\" class=\"data row24 col1032\" >548.140000</td>\n",
       "      <td id=\"T_457a2_row24_col1033\" class=\"data row24 col1033\" >474.900000</td>\n",
       "      <td id=\"T_457a2_row24_col1034\" class=\"data row24 col1034\" >1200.800000</td>\n",
       "      <td id=\"T_457a2_row24_col1035\" class=\"data row24 col1035\" >404.900000</td>\n",
       "      <td id=\"T_457a2_row24_col1036\" class=\"data row24 col1036\" >856.430000</td>\n",
       "      <td id=\"T_457a2_row24_col1037\" class=\"data row24 col1037\" >964.460000</td>\n",
       "      <td id=\"T_457a2_row24_col1038\" class=\"data row24 col1038\" >879.870000</td>\n",
       "      <td id=\"T_457a2_row24_col1039\" class=\"data row24 col1039\" >521.840000</td>\n",
       "      <td id=\"T_457a2_row24_col1040\" class=\"data row24 col1040\" >535.520000</td>\n",
       "      <td id=\"T_457a2_row24_col1041\" class=\"data row24 col1041\" >602.630000</td>\n",
       "      <td id=\"T_457a2_row24_col1042\" class=\"data row24 col1042\" >705.770000</td>\n",
       "      <td id=\"T_457a2_row24_col1043\" class=\"data row24 col1043\" >373.240000</td>\n",
       "      <td id=\"T_457a2_row24_col1044\" class=\"data row24 col1044\" >318.850000</td>\n",
       "      <td id=\"T_457a2_row24_col1045\" class=\"data row24 col1045\" >379.270000</td>\n",
       "      <td id=\"T_457a2_row24_col1046\" class=\"data row24 col1046\" >488.960000</td>\n",
       "      <td id=\"T_457a2_row24_col1047\" class=\"data row24 col1047\" >498.600000</td>\n",
       "      <td id=\"T_457a2_row24_col1048\" class=\"data row24 col1048\" >529.430000</td>\n",
       "      <td id=\"T_457a2_row24_col1049\" class=\"data row24 col1049\" >280.060000</td>\n",
       "      <td id=\"T_457a2_row24_col1050\" class=\"data row24 col1050\" >417.800000</td>\n",
       "      <td id=\"T_457a2_row24_col1051\" class=\"data row24 col1051\" >683.320000</td>\n",
       "      <td id=\"T_457a2_row24_col1052\" class=\"data row24 col1052\" >1187.900000</td>\n",
       "      <td id=\"T_457a2_row24_col1053\" class=\"data row24 col1053\" >1026.300000</td>\n",
       "      <td id=\"T_457a2_row24_col1054\" class=\"data row24 col1054\" >900.790000</td>\n",
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       "      <td id=\"T_457a2_row24_col1056\" class=\"data row24 col1056\" >278.160000</td>\n",
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       "      <td id=\"T_457a2_row24_col1058\" class=\"data row24 col1058\" >201.620000</td>\n",
       "      <td id=\"T_457a2_row24_col1059\" class=\"data row24 col1059\" >176.350000</td>\n",
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       "      <td id=\"T_457a2_row24_col1067\" class=\"data row24 col1067\" >173.120000</td>\n",
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       "      <td id=\"T_457a2_row24_col1166\" class=\"data row24 col1166\" >1.937000</td>\n",
       "      <td id=\"T_457a2_row24_col1167\" class=\"data row24 col1167\" >2.068000</td>\n",
       "      <td id=\"T_457a2_row24_col1168\" class=\"data row24 col1168\" >1.920000</td>\n",
       "      <td id=\"T_457a2_row24_col1169\" class=\"data row24 col1169\" >1.792000</td>\n",
       "      <td id=\"T_457a2_row24_col1170\" class=\"data row24 col1170\" >2.035000</td>\n",
       "      <td id=\"T_457a2_row24_col1171\" class=\"data row24 col1171\" >1.970000</td>\n",
       "      <td id=\"T_457a2_row24_col1172\" class=\"data row24 col1172\" >1.741000</td>\n",
       "      <td id=\"T_457a2_row24_col1173\" class=\"data row24 col1173\" >1.834000</td>\n",
       "      <td id=\"T_457a2_row24_col1174\" class=\"data row24 col1174\" >2.212000</td>\n",
       "      <td id=\"T_457a2_row24_col1175\" class=\"data row24 col1175\" >3.423000</td>\n",
       "      <td id=\"T_457a2_row24_col1176\" class=\"data row24 col1176\" >2.213000</td>\n",
       "      <td id=\"T_457a2_row24_col1177\" class=\"data row24 col1177\" >3.437000</td>\n",
       "      <td id=\"T_457a2_row24_col1178\" class=\"data row24 col1178\" >2.009000</td>\n",
       "      <td id=\"T_457a2_row24_col1179\" class=\"data row24 col1179\" >2.103000</td>\n",
       "      <td id=\"T_457a2_row24_col1180\" class=\"data row24 col1180\" >2.384000</td>\n",
       "      <td id=\"T_457a2_row24_col1181\" class=\"data row24 col1181\" >2.743000</td>\n",
       "      <td id=\"T_457a2_row24_col1182\" class=\"data row24 col1182\" >2.611000</td>\n",
       "      <td id=\"T_457a2_row24_col1183\" class=\"data row24 col1183\" >2.569000</td>\n",
       "      <td id=\"T_457a2_row24_col1184\" class=\"data row24 col1184\" >2.666000</td>\n",
       "      <td id=\"T_457a2_row24_col1185\" class=\"data row24 col1185\" >2.686000</td>\n",
       "      <td id=\"T_457a2_row24_col1186\" class=\"data row24 col1186\" >1.884000</td>\n",
       "      <td id=\"T_457a2_row24_col1187\" class=\"data row24 col1187\" >2.610000</td>\n",
       "      <td id=\"T_457a2_row24_col1188\" class=\"data row24 col1188\" >2.578000</td>\n",
       "      <td id=\"T_457a2_row24_col1189\" class=\"data row24 col1189\" >3.601000</td>\n",
       "      <td id=\"T_457a2_row24_col1190\" class=\"data row24 col1190\" >2.427000</td>\n",
       "      <td id=\"T_457a2_row24_col1191\" class=\"data row24 col1191\" >2.883000</td>\n",
       "      <td id=\"T_457a2_row24_col1192\" class=\"data row24 col1192\" >3.006000</td>\n",
       "      <td id=\"T_457a2_row24_col1193\" class=\"data row24 col1193\" >3.777000</td>\n",
       "      <td id=\"T_457a2_row24_col1194\" class=\"data row24 col1194\" >3.058000</td>\n",
       "      <td id=\"T_457a2_row24_col1195\" class=\"data row24 col1195\" >4.252000</td>\n",
       "      <td id=\"T_457a2_row24_col1196\" class=\"data row24 col1196\" >2.588000</td>\n",
       "      <td id=\"T_457a2_row24_col1197\" class=\"data row24 col1197\" >2.761000</td>\n",
       "      <td id=\"T_457a2_row24_col1198\" class=\"data row24 col1198\" >2.729000</td>\n",
       "      <td id=\"T_457a2_row24_col1199\" class=\"data row24 col1199\" >2.261000</td>\n",
       "      <td id=\"T_457a2_row24_col1200\" class=\"data row24 col1200\" >1.702000</td>\n",
       "      <td id=\"T_457a2_row24_col1201\" class=\"data row24 col1201\" >3.865000</td>\n",
       "      <td id=\"T_457a2_row24_col1202\" class=\"data row24 col1202\" >1.762000</td>\n",
       "      <td id=\"T_457a2_row24_col1203\" class=\"data row24 col1203\" >3.301000</td>\n",
       "      <td id=\"T_457a2_row24_col1204\" class=\"data row24 col1204\" >2.617000</td>\n",
       "      <td id=\"T_457a2_row24_col1205\" class=\"data row24 col1205\" >3.814000</td>\n",
       "      <td id=\"T_457a2_row24_col1206\" class=\"data row24 col1206\" >3.461000</td>\n",
       "      <td id=\"T_457a2_row24_col1207\" class=\"data row24 col1207\" >2.463000</td>\n",
       "      <td id=\"T_457a2_row24_col1208\" class=\"data row24 col1208\" >2.871000</td>\n",
       "      <td id=\"T_457a2_row24_col1209\" class=\"data row24 col1209\" >3.578000</td>\n",
       "      <td id=\"T_457a2_row24_col1210\" class=\"data row24 col1210\" >2.967000</td>\n",
       "      <td id=\"T_457a2_row24_col1211\" class=\"data row24 col1211\" >2.361000</td>\n",
       "      <td id=\"T_457a2_row24_col1212\" class=\"data row24 col1212\" >2.296000</td>\n",
       "      <td id=\"T_457a2_row24_col1213\" class=\"data row24 col1213\" >2.645000</td>\n",
       "      <td id=\"T_457a2_row24_col1214\" class=\"data row24 col1214\" >3.569000</td>\n",
       "      <td id=\"T_457a2_row24_col1215\" class=\"data row24 col1215\" >2.937000</td>\n",
       "      <td id=\"T_457a2_row24_col1216\" class=\"data row24 col1216\" >3.122000</td>\n",
       "      <td id=\"T_457a2_row24_col1217\" class=\"data row24 col1217\" >2.604000</td>\n",
       "      <td id=\"T_457a2_row24_col1218\" class=\"data row24 col1218\" >2.678000</td>\n",
       "      <td id=\"T_457a2_row24_col1219\" class=\"data row24 col1219\" >3.025000</td>\n",
       "      <td id=\"T_457a2_row24_col1220\" class=\"data row24 col1220\" >2.590000</td>\n",
       "      <td id=\"T_457a2_row24_col1221\" class=\"data row24 col1221\" >2.468000</td>\n",
       "      <td id=\"T_457a2_row24_col1222\" class=\"data row24 col1222\" >2.463000</td>\n",
       "      <td id=\"T_457a2_row24_col1223\" class=\"data row24 col1223\" >2.351000</td>\n",
       "      <td id=\"T_457a2_row24_col1224\" class=\"data row24 col1224\" >2.022000</td>\n",
       "      <td id=\"T_457a2_row24_col1225\" class=\"data row24 col1225\" >1.889000</td>\n",
       "      <td id=\"T_457a2_row24_col1226\" class=\"data row24 col1226\" >2.118000</td>\n",
       "      <td id=\"T_457a2_row24_col1227\" class=\"data row24 col1227\" >1.868000</td>\n",
       "      <td id=\"T_457a2_row24_col1228\" class=\"data row24 col1228\" >1.881000</td>\n",
       "      <td id=\"T_457a2_row24_col1229\" class=\"data row24 col1229\" >1.991000</td>\n",
       "      <td id=\"T_457a2_row24_col1230\" class=\"data row24 col1230\" >2.533000</td>\n",
       "      <td id=\"T_457a2_row24_col1231\" class=\"data row24 col1231\" >2.316000</td>\n",
       "      <td id=\"T_457a2_row24_col1232\" class=\"data row24 col1232\" >2.196000</td>\n",
       "      <td id=\"T_457a2_row24_col1233\" class=\"data row24 col1233\" >2.316000</td>\n",
       "      <td id=\"T_457a2_row24_col1234\" class=\"data row24 col1234\" >2.212000</td>\n",
       "      <td id=\"T_457a2_row24_col1235\" class=\"data row24 col1235\" >2.179000</td>\n",
       "      <td id=\"T_457a2_row24_col1236\" class=\"data row24 col1236\" >2.460000</td>\n",
       "      <td id=\"T_457a2_row24_col1237\" class=\"data row24 col1237\" >2.067000</td>\n",
       "      <td id=\"T_457a2_row24_col1238\" class=\"data row24 col1238\" >2.673000</td>\n",
       "      <td id=\"T_457a2_row24_col1239\" class=\"data row24 col1239\" >1.778000</td>\n",
       "      <td id=\"T_457a2_row24_col1240\" class=\"data row24 col1240\" >2.133000</td>\n",
       "      <td id=\"T_457a2_row24_col1241\" class=\"data row24 col1241\" >1.862000</td>\n",
       "      <td id=\"T_457a2_row24_col1242\" class=\"data row24 col1242\" >2.227000</td>\n",
       "      <td id=\"T_457a2_row24_col1243\" class=\"data row24 col1243\" >2.532000</td>\n",
       "      <td id=\"T_457a2_row24_col1244\" class=\"data row24 col1244\" >1.991000</td>\n",
       "      <td id=\"T_457a2_row24_col1245\" class=\"data row24 col1245\" >2.314000</td>\n",
       "      <td id=\"T_457a2_row24_col1246\" class=\"data row24 col1246\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row24_col1247\" class=\"data row24 col1247\" >3.166000</td>\n",
       "      <td id=\"T_457a2_row24_col1248\" class=\"data row24 col1248\" >2.959000</td>\n",
       "      <td id=\"T_457a2_row24_col1249\" class=\"data row24 col1249\" >3.036000</td>\n",
       "      <td id=\"T_457a2_row24_col1250\" class=\"data row24 col1250\" >2.810000</td>\n",
       "      <td id=\"T_457a2_row24_col1251\" class=\"data row24 col1251\" >2.612000</td>\n",
       "      <td id=\"T_457a2_row24_col1252\" class=\"data row24 col1252\" >2.591000</td>\n",
       "      <td id=\"T_457a2_row24_col1253\" class=\"data row24 col1253\" >1.801000</td>\n",
       "      <td id=\"T_457a2_row24_col1254\" class=\"data row24 col1254\" >2.127000</td>\n",
       "      <td id=\"T_457a2_row24_col1255\" class=\"data row24 col1255\" >3.607000</td>\n",
       "      <td id=\"T_457a2_row24_col1256\" class=\"data row24 col1256\" >1.844000</td>\n",
       "      <td id=\"T_457a2_row24_col1257\" class=\"data row24 col1257\" >2.605000</td>\n",
       "      <td id=\"T_457a2_row24_col1258\" class=\"data row24 col1258\" >2.867000</td>\n",
       "      <td id=\"T_457a2_row24_col1259\" class=\"data row24 col1259\" >2.595000</td>\n",
       "      <td id=\"T_457a2_row24_col1260\" class=\"data row24 col1260\" >2.927000</td>\n",
       "      <td id=\"T_457a2_row24_col1261\" class=\"data row24 col1261\" >2.728000</td>\n",
       "      <td id=\"T_457a2_row24_col1262\" class=\"data row24 col1262\" >2.480000</td>\n",
       "      <td id=\"T_457a2_row24_col1263\" class=\"data row24 col1263\" >2.455000</td>\n",
       "      <td id=\"T_457a2_row24_col1264\" class=\"data row24 col1264\" >1.668000</td>\n",
       "      <td id=\"T_457a2_row24_col1265\" class=\"data row24 col1265\" >2.243000</td>\n",
       "      <td id=\"T_457a2_row24_col1266\" class=\"data row24 col1266\" >1.397000</td>\n",
       "      <td id=\"T_457a2_row24_col1267\" class=\"data row24 col1267\" >1.982000</td>\n",
       "      <td id=\"T_457a2_row24_col1268\" class=\"data row24 col1268\" >2.090000</td>\n",
       "      <td id=\"T_457a2_row24_col1269\" class=\"data row24 col1269\" >2.183000</td>\n",
       "      <td id=\"T_457a2_row24_col1270\" class=\"data row24 col1270\" >2.358000</td>\n",
       "      <td id=\"T_457a2_row24_col1271\" class=\"data row24 col1271\" >2.310000</td>\n",
       "      <td id=\"T_457a2_row24_col1272\" class=\"data row24 col1272\" >1.287000</td>\n",
       "      <td id=\"T_457a2_row24_col1273\" class=\"data row24 col1273\" >2.356000</td>\n",
       "      <td id=\"T_457a2_row24_col1274\" class=\"data row24 col1274\" >2.319000</td>\n",
       "      <td id=\"T_457a2_row24_col1275\" class=\"data row24 col1275\" >2.551000</td>\n",
       "      <td id=\"T_457a2_row24_col1276\" class=\"data row24 col1276\" >1.587000</td>\n",
       "      <td id=\"T_457a2_row24_col1277\" class=\"data row24 col1277\" >2.734000</td>\n",
       "      <td id=\"T_457a2_row24_col1278\" class=\"data row24 col1278\" >1.650000</td>\n",
       "      <td id=\"T_457a2_row24_col1279\" class=\"data row24 col1279\" >1.630000</td>\n",
       "      <td id=\"T_457a2_row24_col1280\" class=\"data row24 col1280\" >1.485000</td>\n",
       "      <td id=\"T_457a2_row24_col1281\" class=\"data row24 col1281\" >2.894000</td>\n",
       "      <td id=\"T_457a2_row24_col1282\" class=\"data row24 col1282\" >1.725000</td>\n",
       "      <td id=\"T_457a2_row24_col1283\" class=\"data row24 col1283\" >1.708000</td>\n",
       "      <td id=\"T_457a2_row24_col1284\" class=\"data row24 col1284\" >2.299000</td>\n",
       "      <td id=\"T_457a2_row24_col1285\" class=\"data row24 col1285\" >2.267000</td>\n",
       "      <td id=\"T_457a2_row24_col1286\" class=\"data row24 col1286\" >1.876000</td>\n",
       "      <td id=\"T_457a2_row24_col1287\" class=\"data row24 col1287\" >2.852000</td>\n",
       "      <td id=\"T_457a2_row24_col1288\" class=\"data row24 col1288\" >3.164000</td>\n",
       "      <td id=\"T_457a2_row24_col1289\" class=\"data row24 col1289\" >2.904000</td>\n",
       "      <td id=\"T_457a2_row24_col1290\" class=\"data row24 col1290\" >1.872000</td>\n",
       "      <td id=\"T_457a2_row24_col1291\" class=\"data row24 col1291\" >2.483000</td>\n",
       "      <td id=\"T_457a2_row24_col1292\" class=\"data row24 col1292\" >1.535000</td>\n",
       "      <td id=\"T_457a2_row24_col1293\" class=\"data row24 col1293\" >1.939000</td>\n",
       "      <td id=\"T_457a2_row24_col1294\" class=\"data row24 col1294\" >2.908000</td>\n",
       "      <td id=\"T_457a2_row24_col1295\" class=\"data row24 col1295\" >2.512000</td>\n",
       "      <td id=\"T_457a2_row24_col1296\" class=\"data row24 col1296\" >3.100000</td>\n",
       "      <td id=\"T_457a2_row24_col1297\" class=\"data row24 col1297\" >3.266000</td>\n",
       "      <td id=\"T_457a2_row24_col1298\" class=\"data row24 col1298\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row24_col1299\" class=\"data row24 col1299\" >1.673000</td>\n",
       "      <td id=\"T_457a2_row24_col1300\" class=\"data row24 col1300\" >1.741000</td>\n",
       "      <td id=\"T_457a2_row24_col1301\" class=\"data row24 col1301\" >2.201000</td>\n",
       "      <td id=\"T_457a2_row24_col1302\" class=\"data row24 col1302\" >1.781000</td>\n",
       "      <td id=\"T_457a2_row24_col1303\" class=\"data row24 col1303\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row24_col1304\" class=\"data row24 col1304\" >2.321000</td>\n",
       "      <td id=\"T_457a2_row24_col1305\" class=\"data row24 col1305\" >1.583000</td>\n",
       "      <td id=\"T_457a2_row24_col1306\" class=\"data row24 col1306\" >2.715000</td>\n",
       "      <td id=\"T_457a2_row24_col1307\" class=\"data row24 col1307\" >2.317000</td>\n",
       "      <td id=\"T_457a2_row24_col1308\" class=\"data row24 col1308\" >1.751000</td>\n",
       "      <td id=\"T_457a2_row24_col1309\" class=\"data row24 col1309\" >1.444000</td>\n",
       "      <td id=\"T_457a2_row24_col1310\" class=\"data row24 col1310\" >1.964000</td>\n",
       "      <td id=\"T_457a2_row24_col1311\" class=\"data row24 col1311\" >1.705000</td>\n",
       "      <td id=\"T_457a2_row24_col1312\" class=\"data row24 col1312\" >2.082000</td>\n",
       "      <td id=\"T_457a2_row24_col1313\" class=\"data row24 col1313\" >1.561000</td>\n",
       "      <td id=\"T_457a2_row24_col1314\" class=\"data row24 col1314\" >1.808000</td>\n",
       "      <td id=\"T_457a2_row24_col1315\" class=\"data row24 col1315\" >1.716000</td>\n",
       "      <td id=\"T_457a2_row24_col1316\" class=\"data row24 col1316\" >1.614000</td>\n",
       "      <td id=\"T_457a2_row24_col1317\" class=\"data row24 col1317\" >2.358000</td>\n",
       "      <td id=\"T_457a2_row24_col1318\" class=\"data row24 col1318\" >2.131000</td>\n",
       "      <td id=\"T_457a2_row24_col1319\" class=\"data row24 col1319\" >2.902000</td>\n",
       "      <td id=\"T_457a2_row24_col1320\" class=\"data row24 col1320\" >2.753000</td>\n",
       "      <td id=\"T_457a2_row24_col1321\" class=\"data row24 col1321\" >2.250000</td>\n",
       "      <td id=\"T_457a2_row24_col1322\" class=\"data row24 col1322\" >2.335000</td>\n",
       "      <td id=\"T_457a2_row24_col1323\" class=\"data row24 col1323\" >2.254000</td>\n",
       "      <td id=\"T_457a2_row24_col1324\" class=\"data row24 col1324\" >3.061000</td>\n",
       "      <td id=\"T_457a2_row24_col1325\" class=\"data row24 col1325\" >2.511000</td>\n",
       "      <td id=\"T_457a2_row24_col1326\" class=\"data row24 col1326\" >2.606000</td>\n",
       "      <td id=\"T_457a2_row24_col1327\" class=\"data row24 col1327\" >1.667000</td>\n",
       "      <td id=\"T_457a2_row24_col1328\" class=\"data row24 col1328\" >1.488000</td>\n",
       "      <td id=\"T_457a2_row24_col1329\" class=\"data row24 col1329\" >2.609000</td>\n",
       "      <td id=\"T_457a2_row24_col1330\" class=\"data row24 col1330\" >2.254000</td>\n",
       "      <td id=\"T_457a2_row24_col1331\" class=\"data row24 col1331\" >2.295000</td>\n",
       "      <td id=\"T_457a2_row24_col1332\" class=\"data row24 col1332\" >2.520000</td>\n",
       "      <td id=\"T_457a2_row24_col1333\" class=\"data row24 col1333\" >2.850000</td>\n",
       "      <td id=\"T_457a2_row24_col1334\" class=\"data row24 col1334\" >2.218000</td>\n",
       "      <td id=\"T_457a2_row24_col1335\" class=\"data row24 col1335\" >1.816000</td>\n",
       "      <td id=\"T_457a2_row24_col1336\" class=\"data row24 col1336\" >1.929000</td>\n",
       "      <td id=\"T_457a2_row24_col1337\" class=\"data row24 col1337\" >2.341000</td>\n",
       "      <td id=\"T_457a2_row24_col1338\" class=\"data row24 col1338\" >2.355000</td>\n",
       "      <td id=\"T_457a2_row24_col1339\" class=\"data row24 col1339\" >2.601000</td>\n",
       "      <td id=\"T_457a2_row24_col1340\" class=\"data row24 col1340\" >2.197000</td>\n",
       "      <td id=\"T_457a2_row24_col1341\" class=\"data row24 col1341\" >2.555000</td>\n",
       "      <td id=\"T_457a2_row24_col1342\" class=\"data row24 col1342\" >2.275000</td>\n",
       "      <td id=\"T_457a2_row24_col1343\" class=\"data row24 col1343\" >2.128000</td>\n",
       "      <td id=\"T_457a2_row24_col1344\" class=\"data row24 col1344\" >1.929000</td>\n",
       "      <td id=\"T_457a2_row24_col1345\" class=\"data row24 col1345\" >2.041000</td>\n",
       "      <td id=\"T_457a2_row24_col1346\" class=\"data row24 col1346\" >2.262000</td>\n",
       "      <td id=\"T_457a2_row24_col1347\" class=\"data row24 col1347\" >2.077000</td>\n",
       "      <td id=\"T_457a2_row24_col1348\" class=\"data row24 col1348\" >2.123000</td>\n",
       "      <td id=\"T_457a2_row24_col1349\" class=\"data row24 col1349\" >1.785000</td>\n",
       "      <td id=\"T_457a2_row24_col1350\" class=\"data row24 col1350\" >1.995000</td>\n",
       "      <td id=\"T_457a2_row24_col1351\" class=\"data row24 col1351\" >1.925000</td>\n",
       "      <td id=\"T_457a2_row24_col1352\" class=\"data row24 col1352\" >1.662000</td>\n",
       "      <td id=\"T_457a2_row24_col1353\" class=\"data row24 col1353\" >1.889000</td>\n",
       "      <td id=\"T_457a2_row24_col1354\" class=\"data row24 col1354\" >2.203000</td>\n",
       "      <td id=\"T_457a2_row24_col1355\" class=\"data row24 col1355\" >3.313000</td>\n",
       "      <td id=\"T_457a2_row24_col1356\" class=\"data row24 col1356\" >1.645000</td>\n",
       "      <td id=\"T_457a2_row24_col1357\" class=\"data row24 col1357\" >3.399000</td>\n",
       "      <td id=\"T_457a2_row24_col1358\" class=\"data row24 col1358\" >1.919000</td>\n",
       "      <td id=\"T_457a2_row24_col1359\" class=\"data row24 col1359\" >2.429000</td>\n",
       "      <td id=\"T_457a2_row24_col1360\" class=\"data row24 col1360\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row24_col1361\" class=\"data row24 col1361\" >2.188000</td>\n",
       "      <td id=\"T_457a2_row24_col1362\" class=\"data row24 col1362\" >2.862000</td>\n",
       "      <td id=\"T_457a2_row24_col1363\" class=\"data row24 col1363\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row24_col1364\" class=\"data row24 col1364\" >3.012000</td>\n",
       "      <td id=\"T_457a2_row24_col1365\" class=\"data row24 col1365\" >2.861000</td>\n",
       "      <td id=\"T_457a2_row24_col1366\" class=\"data row24 col1366\" >2.265000</td>\n",
       "      <td id=\"T_457a2_row24_col1367\" class=\"data row24 col1367\" >2.124000</td>\n",
       "      <td id=\"T_457a2_row24_col1368\" class=\"data row24 col1368\" >2.633000</td>\n",
       "      <td id=\"T_457a2_row24_col1369\" class=\"data row24 col1369\" >3.670000</td>\n",
       "      <td id=\"T_457a2_row24_col1370\" class=\"data row24 col1370\" >3.079000</td>\n",
       "      <td id=\"T_457a2_row24_col1371\" class=\"data row24 col1371\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row24_col1372\" class=\"data row24 col1372\" >3.088000</td>\n",
       "      <td id=\"T_457a2_row24_col1373\" class=\"data row24 col1373\" >3.490000</td>\n",
       "      <td id=\"T_457a2_row24_col1374\" class=\"data row24 col1374\" >2.905000</td>\n",
       "      <td id=\"T_457a2_row24_col1375\" class=\"data row24 col1375\" >4.098000</td>\n",
       "      <td id=\"T_457a2_row24_col1376\" class=\"data row24 col1376\" >2.267000</td>\n",
       "      <td id=\"T_457a2_row24_col1377\" class=\"data row24 col1377\" >2.563000</td>\n",
       "      <td id=\"T_457a2_row24_col1378\" class=\"data row24 col1378\" >1.924000</td>\n",
       "      <td id=\"T_457a2_row24_col1379\" class=\"data row24 col1379\" >2.159000</td>\n",
       "      <td id=\"T_457a2_row24_col1380\" class=\"data row24 col1380\" >1.770000</td>\n",
       "      <td id=\"T_457a2_row24_col1381\" class=\"data row24 col1381\" >3.005000</td>\n",
       "      <td id=\"T_457a2_row24_col1382\" class=\"data row24 col1382\" >1.900000</td>\n",
       "      <td id=\"T_457a2_row24_col1383\" class=\"data row24 col1383\" >3.667000</td>\n",
       "      <td id=\"T_457a2_row24_col1384\" class=\"data row24 col1384\" >2.288000</td>\n",
       "      <td id=\"T_457a2_row24_col1385\" class=\"data row24 col1385\" >3.649000</td>\n",
       "      <td id=\"T_457a2_row24_col1386\" class=\"data row24 col1386\" >3.754000</td>\n",
       "      <td id=\"T_457a2_row24_col1387\" class=\"data row24 col1387\" >3.030000</td>\n",
       "      <td id=\"T_457a2_row24_col1388\" class=\"data row24 col1388\" >3.153000</td>\n",
       "      <td id=\"T_457a2_row24_col1389\" class=\"data row24 col1389\" >3.427000</td>\n",
       "      <td id=\"T_457a2_row24_col1390\" class=\"data row24 col1390\" >2.567000</td>\n",
       "      <td id=\"T_457a2_row24_col1391\" class=\"data row24 col1391\" >3.121000</td>\n",
       "      <td id=\"T_457a2_row24_col1392\" class=\"data row24 col1392\" >2.747000</td>\n",
       "      <td id=\"T_457a2_row24_col1393\" class=\"data row24 col1393\" >2.977000</td>\n",
       "      <td id=\"T_457a2_row24_col1394\" class=\"data row24 col1394\" >3.677000</td>\n",
       "      <td id=\"T_457a2_row24_col1395\" class=\"data row24 col1395\" >3.567000</td>\n",
       "      <td id=\"T_457a2_row24_col1396\" class=\"data row24 col1396\" >2.934000</td>\n",
       "      <td id=\"T_457a2_row24_col1397\" class=\"data row24 col1397\" >2.825000</td>\n",
       "      <td id=\"T_457a2_row24_col1398\" class=\"data row24 col1398\" >2.571000</td>\n",
       "      <td id=\"T_457a2_row24_col1399\" class=\"data row24 col1399\" >2.854000</td>\n",
       "      <td id=\"T_457a2_row24_col1400\" class=\"data row24 col1400\" >3.006000</td>\n",
       "      <td id=\"T_457a2_row24_col1401\" class=\"data row24 col1401\" >2.826000</td>\n",
       "      <td id=\"T_457a2_row24_col1402\" class=\"data row24 col1402\" >2.931000</td>\n",
       "      <td id=\"T_457a2_row24_col1403\" class=\"data row24 col1403\" >2.821000</td>\n",
       "      <td id=\"T_457a2_row24_col1404\" class=\"data row24 col1404\" >2.082000</td>\n",
       "      <td id=\"T_457a2_row24_col1405\" class=\"data row24 col1405\" >1.704000</td>\n",
       "      <td id=\"T_457a2_row24_col1406\" class=\"data row24 col1406\" >2.271000</td>\n",
       "      <td id=\"T_457a2_row24_col1407\" class=\"data row24 col1407\" >1.741000</td>\n",
       "      <td id=\"T_457a2_row24_col1408\" class=\"data row24 col1408\" >1.851000</td>\n",
       "      <td id=\"T_457a2_row24_col1409\" class=\"data row24 col1409\" >1.491000</td>\n",
       "      <td id=\"T_457a2_row24_col1410\" class=\"data row24 col1410\" >2.491000</td>\n",
       "      <td id=\"T_457a2_row24_col1411\" class=\"data row24 col1411\" >2.420000</td>\n",
       "      <td id=\"T_457a2_row24_col1412\" class=\"data row24 col1412\" >2.259000</td>\n",
       "      <td id=\"T_457a2_row24_col1413\" class=\"data row24 col1413\" >2.334000</td>\n",
       "      <td id=\"T_457a2_row24_col1414\" class=\"data row24 col1414\" >2.402000</td>\n",
       "      <td id=\"T_457a2_row24_col1415\" class=\"data row24 col1415\" >1.904000</td>\n",
       "      <td id=\"T_457a2_row24_col1416\" class=\"data row24 col1416\" >2.546000</td>\n",
       "      <td id=\"T_457a2_row24_col1417\" class=\"data row24 col1417\" >2.572000</td>\n",
       "      <td id=\"T_457a2_row24_col1418\" class=\"data row24 col1418\" >2.395000</td>\n",
       "      <td id=\"T_457a2_row24_col1419\" class=\"data row24 col1419\" >2.324000</td>\n",
       "      <td id=\"T_457a2_row24_col1420\" class=\"data row24 col1420\" >2.405000</td>\n",
       "      <td id=\"T_457a2_row24_col1421\" class=\"data row24 col1421\" >1.647000</td>\n",
       "      <td id=\"T_457a2_row24_col1422\" class=\"data row24 col1422\" >2.126000</td>\n",
       "      <td id=\"T_457a2_row24_col1423\" class=\"data row24 col1423\" >2.111000</td>\n",
       "      <td id=\"T_457a2_row24_col1424\" class=\"data row24 col1424\" >1.859000</td>\n",
       "      <td id=\"T_457a2_row24_col1425\" class=\"data row24 col1425\" >2.248000</td>\n",
       "      <td id=\"T_457a2_row24_col1426\" class=\"data row24 col1426\" >2.813000</td>\n",
       "      <td id=\"T_457a2_row24_col1427\" class=\"data row24 col1427\" >3.131000</td>\n",
       "      <td id=\"T_457a2_row24_col1428\" class=\"data row24 col1428\" >2.954000</td>\n",
       "      <td id=\"T_457a2_row24_col1429\" class=\"data row24 col1429\" >2.691000</td>\n",
       "      <td id=\"T_457a2_row24_col1430\" class=\"data row24 col1430\" >3.271000</td>\n",
       "      <td id=\"T_457a2_row24_col1431\" class=\"data row24 col1431\" >3.089000</td>\n",
       "      <td id=\"T_457a2_row24_col1432\" class=\"data row24 col1432\" >2.733000</td>\n",
       "      <td id=\"T_457a2_row24_col1433\" class=\"data row24 col1433\" >1.694000</td>\n",
       "      <td id=\"T_457a2_row24_col1434\" class=\"data row24 col1434\" >1.674000</td>\n",
       "      <td id=\"T_457a2_row24_col1435\" class=\"data row24 col1435\" >3.451000</td>\n",
       "      <td id=\"T_457a2_row24_col1436\" class=\"data row24 col1436\" >2.466000</td>\n",
       "      <td id=\"T_457a2_row24_col1437\" class=\"data row24 col1437\" >3.148000</td>\n",
       "      <td id=\"T_457a2_row24_col1438\" class=\"data row24 col1438\" >3.208000</td>\n",
       "      <td id=\"T_457a2_row24_col1439\" class=\"data row24 col1439\" >2.467000</td>\n",
       "      <td id=\"T_457a2_row24_col1440\" class=\"data row24 col1440\" >2.929000</td>\n",
       "      <td id=\"T_457a2_row24_col1441\" class=\"data row24 col1441\" >2.626000</td>\n",
       "      <td id=\"T_457a2_row24_col1442\" class=\"data row24 col1442\" >2.658000</td>\n",
       "      <td id=\"T_457a2_row24_col1443\" class=\"data row24 col1443\" >2.843000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fdd4dd75730>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_data = data.select_dtypes(float)\n",
    "data.sample(25).style.applymap(highlight_group, subset=[\"group\"]).background_gradient(subset=numeric_data.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{margin}\n",
    "For a useful summary of cortical atlas parcellations in MNI space, including the HCP-MMP1, see [this page](https://www.lead-dbs.org/helpsupport/knowledge-base/atlasesresources/cortical-atlas-parcellations-mni-space/).\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First thing to note is that we have 1004 observations (subjects) and 1,444 features. \n",
    "\n",
    "There are 1,440 features representing four anatomical brain features estimated by FreeSurfer: \n",
    "* Surface Area (`fsArea`)\n",
    "* Volume (`fsVol`)\n",
    "* Cortical Thickness (`fsCT`)\n",
    "* [Local Gyrification Index](https://surfer.nmr.mgh.harvard.edu/fswiki/LGI) (`fsLGI`) \n",
    "\n",
    "over 360 brain regions of interest (ROIs) as defined by the [Human Connectome Project Multi-Modal Parcellation atlas (HCP-MMP1)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990127/), as well as:\n",
    "\n",
    "* `site`: A code representing the site at which the data was acquired.\n",
    "* `subject`: Subject ID.\n",
    "* `age`: Age in years.\n",
    "* `group`: ASD diagnosis (*1=autism, 2=control*)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1004 entries, 0 to 1003\n",
      "Columns: 1444 entries, site to fsCT_R_p24_ROI\n",
      "dtypes: float64(1441), int64(1), object(2)\n",
      "memory usage: 11.1+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected, all the brain features and the recorded `age` are of type `float`, `subject` is an `int`, and `site` and `group` are categorical (`object`)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our feature matrix is the same in both regression examples and composed exclusively of FreeSurfer's estimation results of the 360 HCP-MMP1 ROIs: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>fsArea_L_V1_ROI</th>\n",
       "      <th>fsArea_L_MST_ROI</th>\n",
       "      <th>fsArea_L_V6_ROI</th>\n",
       "      <th>fsArea_L_V2_ROI</th>\n",
       "      <th>fsArea_L_V3_ROI</th>\n",
       "      <th>fsArea_L_V4_ROI</th>\n",
       "      <th>fsArea_L_V8_ROI</th>\n",
       "      <th>fsArea_L_4_ROI</th>\n",
       "      <th>fsArea_L_3b_ROI</th>\n",
       "      <th>fsArea_L_FEF_ROI</th>\n",
       "      <th>...</th>\n",
       "      <th>fsCT_R_p47r_ROI</th>\n",
       "      <th>fsCT_R_TGv_ROI</th>\n",
       "      <th>fsCT_R_MBelt_ROI</th>\n",
       "      <th>fsCT_R_LBelt_ROI</th>\n",
       "      <th>fsCT_R_A4_ROI</th>\n",
       "      <th>fsCT_R_STSva_ROI</th>\n",
       "      <th>fsCT_R_TE1m_ROI</th>\n",
       "      <th>fsCT_R_PI_ROI</th>\n",
       "      <th>fsCT_R_a32pr_ROI</th>\n",
       "      <th>fsCT_R_p24_ROI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2750.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>354.0</td>\n",
       "      <td>2123.0</td>\n",
       "      <td>1451.0</td>\n",
       "      <td>1128.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>1751.0</td>\n",
       "      <td>1338.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.362</td>\n",
       "      <td>2.827</td>\n",
       "      <td>2.777</td>\n",
       "      <td>2.526</td>\n",
       "      <td>3.202</td>\n",
       "      <td>3.024</td>\n",
       "      <td>3.354</td>\n",
       "      <td>2.629</td>\n",
       "      <td>2.699</td>\n",
       "      <td>3.179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2836.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>354.0</td>\n",
       "      <td>2261.0</td>\n",
       "      <td>1584.0</td>\n",
       "      <td>1241.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>1521.0</td>\n",
       "      <td>1105.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.809</td>\n",
       "      <td>3.539</td>\n",
       "      <td>2.944</td>\n",
       "      <td>2.769</td>\n",
       "      <td>3.530</td>\n",
       "      <td>3.079</td>\n",
       "      <td>3.282</td>\n",
       "      <td>2.670</td>\n",
       "      <td>2.746</td>\n",
       "      <td>3.324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3394.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>2827.0</td>\n",
       "      <td>1816.0</td>\n",
       "      <td>1299.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>1657.0</td>\n",
       "      <td>1374.0</td>\n",
       "      <td>456.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.435</td>\n",
       "      <td>3.321</td>\n",
       "      <td>2.799</td>\n",
       "      <td>2.388</td>\n",
       "      <td>3.148</td>\n",
       "      <td>3.125</td>\n",
       "      <td>3.116</td>\n",
       "      <td>2.891</td>\n",
       "      <td>2.940</td>\n",
       "      <td>3.232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3382.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>422.0</td>\n",
       "      <td>2686.0</td>\n",
       "      <td>1893.0</td>\n",
       "      <td>1359.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1545.0</td>\n",
       "      <td>407.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.349</td>\n",
       "      <td>3.344</td>\n",
       "      <td>2.694</td>\n",
       "      <td>3.030</td>\n",
       "      <td>3.258</td>\n",
       "      <td>2.774</td>\n",
       "      <td>3.383</td>\n",
       "      <td>2.696</td>\n",
       "      <td>3.014</td>\n",
       "      <td>3.264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3080.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>346.0</td>\n",
       "      <td>2105.0</td>\n",
       "      <td>1307.0</td>\n",
       "      <td>1004.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>1334.0</td>\n",
       "      <td>985.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.428</td>\n",
       "      <td>2.940</td>\n",
       "      <td>2.809</td>\n",
       "      <td>2.607</td>\n",
       "      <td>3.430</td>\n",
       "      <td>2.752</td>\n",
       "      <td>2.645</td>\n",
       "      <td>3.111</td>\n",
       "      <td>3.219</td>\n",
       "      <td>4.128</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>999</th>\n",
       "      <td>3321.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>381.0</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>1827.0</td>\n",
       "      <td>1314.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>1992.0</td>\n",
       "      <td>1668.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.553</td>\n",
       "      <td>3.502</td>\n",
       "      <td>2.955</td>\n",
       "      <td>2.873</td>\n",
       "      <td>3.074</td>\n",
       "      <td>2.849</td>\n",
       "      <td>2.941</td>\n",
       "      <td>2.863</td>\n",
       "      <td>2.854</td>\n",
       "      <td>3.265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>2860.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>456.0</td>\n",
       "      <td>2460.0</td>\n",
       "      <td>1718.0</td>\n",
       "      <td>1225.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>2459.0</td>\n",
       "      <td>1721.0</td>\n",
       "      <td>574.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.437</td>\n",
       "      <td>3.658</td>\n",
       "      <td>2.537</td>\n",
       "      <td>2.482</td>\n",
       "      <td>3.425</td>\n",
       "      <td>2.819</td>\n",
       "      <td>3.304</td>\n",
       "      <td>2.688</td>\n",
       "      <td>3.200</td>\n",
       "      <td>3.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>3377.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>2810.0</td>\n",
       "      <td>1866.0</td>\n",
       "      <td>1343.0</td>\n",
       "      <td>254.0</td>\n",
       "      <td>1758.0</td>\n",
       "      <td>1318.0</td>\n",
       "      <td>436.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.770</td>\n",
       "      <td>3.422</td>\n",
       "      <td>2.925</td>\n",
       "      <td>3.028</td>\n",
       "      <td>3.285</td>\n",
       "      <td>2.717</td>\n",
       "      <td>3.073</td>\n",
       "      <td>2.899</td>\n",
       "      <td>3.029</td>\n",
       "      <td>3.292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>3322.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>426.0</td>\n",
       "      <td>2640.0</td>\n",
       "      <td>1726.0</td>\n",
       "      <td>1242.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>1719.0</td>\n",
       "      <td>1310.0</td>\n",
       "      <td>444.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.579</td>\n",
       "      <td>3.328</td>\n",
       "      <td>2.998</td>\n",
       "      <td>3.062</td>\n",
       "      <td>3.601</td>\n",
       "      <td>3.049</td>\n",
       "      <td>2.901</td>\n",
       "      <td>2.704</td>\n",
       "      <td>3.076</td>\n",
       "      <td>3.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>2649.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>2359.0</td>\n",
       "      <td>1446.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>1807.0</td>\n",
       "      <td>1325.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.287</td>\n",
       "      <td>3.170</td>\n",
       "      <td>2.494</td>\n",
       "      <td>2.725</td>\n",
       "      <td>3.477</td>\n",
       "      <td>2.850</td>\n",
       "      <td>3.695</td>\n",
       "      <td>2.637</td>\n",
       "      <td>3.263</td>\n",
       "      <td>2.981</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1004 rows × 1440 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fsArea_L_V1_ROI  fsArea_L_MST_ROI  fsArea_L_V6_ROI  fsArea_L_V2_ROI  \\\n",
       "0              2750.0             306.0            354.0           2123.0   \n",
       "1              2836.0             186.0            354.0           2261.0   \n",
       "2              3394.0             223.0            373.0           2827.0   \n",
       "3              3382.0             266.0            422.0           2686.0   \n",
       "4              3080.0             161.0            346.0           2105.0   \n",
       "...               ...               ...              ...              ...   \n",
       "999            3321.0             290.0            381.0           2802.0   \n",
       "1000           2860.0             162.0            456.0           2460.0   \n",
       "1001           3377.0             177.0            497.0           2810.0   \n",
       "1002           3322.0             297.0            426.0           2640.0   \n",
       "1003           2649.0             140.0            307.0           2359.0   \n",
       "\n",
       "      fsArea_L_V3_ROI  fsArea_L_V4_ROI  fsArea_L_V8_ROI  fsArea_L_4_ROI  \\\n",
       "0              1451.0           1128.0            269.0          1751.0   \n",
       "1              1584.0           1241.0            259.0          1521.0   \n",
       "2              1816.0           1299.0            221.0          1657.0   \n",
       "3              1893.0           1359.0            234.0          1889.0   \n",
       "4              1307.0           1004.0            254.0          1334.0   \n",
       "...               ...              ...              ...             ...   \n",
       "999            1827.0           1314.0            184.0          1992.0   \n",
       "1000           1718.0           1225.0            240.0          2459.0   \n",
       "1001           1866.0           1343.0            254.0          1758.0   \n",
       "1002           1726.0           1242.0            318.0          1719.0   \n",
       "1003           1446.0           1003.0            198.0          1807.0   \n",
       "\n",
       "      fsArea_L_3b_ROI  fsArea_L_FEF_ROI  ...  fsCT_R_p47r_ROI  fsCT_R_TGv_ROI  \\\n",
       "0              1338.0             632.0  ...            3.362           2.827   \n",
       "1              1105.0             302.0  ...            2.809           3.539   \n",
       "2              1374.0             456.0  ...            2.435           3.321   \n",
       "3              1545.0             407.0  ...            3.349           3.344   \n",
       "4               985.0             315.0  ...            2.428           2.940   \n",
       "...               ...               ...  ...              ...             ...   \n",
       "999            1668.0             579.0  ...            2.553           3.502   \n",
       "1000           1721.0             574.0  ...            2.437           3.658   \n",
       "1001           1318.0             436.0  ...            2.770           3.422   \n",
       "1002           1310.0             444.0  ...            2.579           3.328   \n",
       "1003           1325.0             395.0  ...            3.287           3.170   \n",
       "\n",
       "      fsCT_R_MBelt_ROI  fsCT_R_LBelt_ROI  fsCT_R_A4_ROI  fsCT_R_STSva_ROI  \\\n",
       "0                2.777             2.526          3.202             3.024   \n",
       "1                2.944             2.769          3.530             3.079   \n",
       "2                2.799             2.388          3.148             3.125   \n",
       "3                2.694             3.030          3.258             2.774   \n",
       "4                2.809             2.607          3.430             2.752   \n",
       "...                ...               ...            ...               ...   \n",
       "999              2.955             2.873          3.074             2.849   \n",
       "1000             2.537             2.482          3.425             2.819   \n",
       "1001             2.925             3.028          3.285             2.717   \n",
       "1002             2.998             3.062          3.601             3.049   \n",
       "1003             2.494             2.725          3.477             2.850   \n",
       "\n",
       "      fsCT_R_TE1m_ROI  fsCT_R_PI_ROI  fsCT_R_a32pr_ROI  fsCT_R_p24_ROI  \n",
       "0               3.354          2.629             2.699           3.179  \n",
       "1               3.282          2.670             2.746           3.324  \n",
       "2               3.116          2.891             2.940           3.232  \n",
       "3               3.383          2.696             3.014           3.264  \n",
       "4               2.645          3.111             3.219           4.128  \n",
       "...               ...            ...               ...             ...  \n",
       "999             2.941          2.863             2.854           3.265  \n",
       "1000            3.304          2.688             3.200           3.086  \n",
       "1001            3.073          2.899             3.029           3.292  \n",
       "1002            2.901          2.704             3.076           3.114  \n",
       "1003            3.695          2.637             3.263           2.981  \n",
       "\n",
       "[1004 rows x 1440 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data.filter(regex=\"^fs\").copy()  # Select columns starting with \"fs\"\n",
    "X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>fsArea_L_V1_ROI</th>\n",
       "      <th>fsArea_L_MST_ROI</th>\n",
       "      <th>fsArea_L_V6_ROI</th>\n",
       "      <th>fsArea_L_V2_ROI</th>\n",
       "      <th>fsArea_L_V3_ROI</th>\n",
       "      <th>fsArea_L_V4_ROI</th>\n",
       "      <th>fsArea_L_V8_ROI</th>\n",
       "      <th>fsArea_L_4_ROI</th>\n",
       "      <th>fsArea_L_3b_ROI</th>\n",
       "      <th>fsArea_L_FEF_ROI</th>\n",
       "      <th>...</th>\n",
       "      <th>fsCT_R_p47r_ROI</th>\n",
       "      <th>fsCT_R_TGv_ROI</th>\n",
       "      <th>fsCT_R_MBelt_ROI</th>\n",
       "      <th>fsCT_R_LBelt_ROI</th>\n",
       "      <th>fsCT_R_A4_ROI</th>\n",
       "      <th>fsCT_R_STSva_ROI</th>\n",
       "      <th>fsCT_R_TE1m_ROI</th>\n",
       "      <th>fsCT_R_PI_ROI</th>\n",
       "      <th>fsCT_R_a32pr_ROI</th>\n",
       "      <th>fsCT_R_p24_ROI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.829942</td>\n",
       "      <td>1.164264</td>\n",
       "      <td>-0.617506</td>\n",
       "      <td>-1.429303</td>\n",
       "      <td>-1.262839</td>\n",
       "      <td>-0.828693</td>\n",
       "      <td>0.112244</td>\n",
       "      <td>-0.246071</td>\n",
       "      <td>-0.313098</td>\n",
       "      <td>1.956778</td>\n",
       "      <td>...</td>\n",
       "      <td>2.364904</td>\n",
       "      <td>-0.913419</td>\n",
       "      <td>0.315561</td>\n",
       "      <td>-0.580204</td>\n",
       "      <td>0.089160</td>\n",
       "      <td>0.650036</td>\n",
       "      <td>0.806525</td>\n",
       "      <td>-0.195324</td>\n",
       "      <td>-0.480189</td>\n",
       "      <td>-0.055639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.656456</td>\n",
       "      <td>-0.587979</td>\n",
       "      <td>-0.617506</td>\n",
       "      <td>-1.027515</td>\n",
       "      <td>-0.696653</td>\n",
       "      <td>-0.278204</td>\n",
       "      <td>-0.058090</td>\n",
       "      <td>-1.177284</td>\n",
       "      <td>-1.504883</td>\n",
       "      <td>-1.282974</td>\n",
       "      <td>...</td>\n",
       "      <td>0.768075</td>\n",
       "      <td>0.599082</td>\n",
       "      <td>0.842638</td>\n",
       "      <td>0.139142</td>\n",
       "      <td>1.103577</td>\n",
       "      <td>0.816385</td>\n",
       "      <td>0.614441</td>\n",
       "      <td>-0.068156</td>\n",
       "      <td>-0.346434</td>\n",
       "      <td>0.312323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.469190</td>\n",
       "      <td>-0.047704</td>\n",
       "      <td>-0.334418</td>\n",
       "      <td>0.620402</td>\n",
       "      <td>0.290980</td>\n",
       "      <td>0.004348</td>\n",
       "      <td>-0.705356</td>\n",
       "      <td>-0.626653</td>\n",
       "      <td>-0.128959</td>\n",
       "      <td>0.228910</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.311878</td>\n",
       "      <td>0.135985</td>\n",
       "      <td>0.384997</td>\n",
       "      <td>-0.988722</td>\n",
       "      <td>-0.077848</td>\n",
       "      <td>0.955513</td>\n",
       "      <td>0.171579</td>\n",
       "      <td>0.617309</td>\n",
       "      <td>0.205661</td>\n",
       "      <td>0.078857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.444982</td>\n",
       "      <td>0.580183</td>\n",
       "      <td>0.395648</td>\n",
       "      <td>0.209878</td>\n",
       "      <td>0.618772</td>\n",
       "      <td>0.296643</td>\n",
       "      <td>-0.483923</td>\n",
       "      <td>0.312657</td>\n",
       "      <td>0.745699</td>\n",
       "      <td>-0.252144</td>\n",
       "      <td>...</td>\n",
       "      <td>2.327366</td>\n",
       "      <td>0.184844</td>\n",
       "      <td>0.053601</td>\n",
       "      <td>0.911773</td>\n",
       "      <td>0.262353</td>\n",
       "      <td>-0.106096</td>\n",
       "      <td>0.883893</td>\n",
       "      <td>0.012487</td>\n",
       "      <td>0.416254</td>\n",
       "      <td>0.160063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.164238</td>\n",
       "      <td>-0.953029</td>\n",
       "      <td>-0.736700</td>\n",
       "      <td>-1.481711</td>\n",
       "      <td>-1.875853</td>\n",
       "      <td>-1.432770</td>\n",
       "      <td>-0.143256</td>\n",
       "      <td>-1.934400</td>\n",
       "      <td>-2.118678</td>\n",
       "      <td>-1.155347</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.332091</td>\n",
       "      <td>-0.673373</td>\n",
       "      <td>0.416558</td>\n",
       "      <td>-0.340422</td>\n",
       "      <td>0.794304</td>\n",
       "      <td>-0.172636</td>\n",
       "      <td>-1.084975</td>\n",
       "      <td>1.299673</td>\n",
       "      <td>0.999654</td>\n",
       "      <td>2.352611</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>999</th>\n",
       "      <td>0.321928</td>\n",
       "      <td>0.930632</td>\n",
       "      <td>-0.215224</td>\n",
       "      <td>0.547614</td>\n",
       "      <td>0.337807</td>\n",
       "      <td>0.077421</td>\n",
       "      <td>-1.335590</td>\n",
       "      <td>0.729679</td>\n",
       "      <td>1.374839</td>\n",
       "      <td>1.436454</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028856</td>\n",
       "      <td>0.520483</td>\n",
       "      <td>0.877356</td>\n",
       "      <td>0.447010</td>\n",
       "      <td>-0.306711</td>\n",
       "      <td>0.120743</td>\n",
       "      <td>-0.295293</td>\n",
       "      <td>0.530463</td>\n",
       "      <td>-0.039082</td>\n",
       "      <td>0.162601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>-0.608041</td>\n",
       "      <td>-0.938427</td>\n",
       "      <td>0.902225</td>\n",
       "      <td>-0.448124</td>\n",
       "      <td>-0.126210</td>\n",
       "      <td>-0.356150</td>\n",
       "      <td>-0.381723</td>\n",
       "      <td>2.620446</td>\n",
       "      <td>1.645932</td>\n",
       "      <td>1.387367</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.306103</td>\n",
       "      <td>0.851874</td>\n",
       "      <td>-0.441914</td>\n",
       "      <td>-0.710456</td>\n",
       "      <td>0.778840</td>\n",
       "      <td>0.030007</td>\n",
       "      <td>0.673133</td>\n",
       "      <td>-0.012326</td>\n",
       "      <td>0.945582</td>\n",
       "      <td>-0.291643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>0.434896</td>\n",
       "      <td>-0.719397</td>\n",
       "      <td>1.513097</td>\n",
       "      <td>0.570906</td>\n",
       "      <td>0.503831</td>\n",
       "      <td>0.218697</td>\n",
       "      <td>-0.143256</td>\n",
       "      <td>-0.217729</td>\n",
       "      <td>-0.415397</td>\n",
       "      <td>0.032562</td>\n",
       "      <td>...</td>\n",
       "      <td>0.655459</td>\n",
       "      <td>0.350539</td>\n",
       "      <td>0.782672</td>\n",
       "      <td>0.905852</td>\n",
       "      <td>0.345857</td>\n",
       "      <td>-0.278495</td>\n",
       "      <td>0.056862</td>\n",
       "      <td>0.642123</td>\n",
       "      <td>0.458942</td>\n",
       "      <td>0.231118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>0.323945</td>\n",
       "      <td>1.032846</td>\n",
       "      <td>0.455245</td>\n",
       "      <td>0.075949</td>\n",
       "      <td>-0.092154</td>\n",
       "      <td>-0.273333</td>\n",
       "      <td>0.946877</td>\n",
       "      <td>-0.375631</td>\n",
       "      <td>-0.456317</td>\n",
       "      <td>0.111101</td>\n",
       "      <td>...</td>\n",
       "      <td>0.103933</td>\n",
       "      <td>0.150855</td>\n",
       "      <td>1.013071</td>\n",
       "      <td>1.006501</td>\n",
       "      <td>1.323162</td>\n",
       "      <td>0.725649</td>\n",
       "      <td>-0.402007</td>\n",
       "      <td>0.037300</td>\n",
       "      <td>0.592697</td>\n",
       "      <td>-0.220588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>-1.033688</td>\n",
       "      <td>-1.259672</td>\n",
       "      <td>-1.317774</td>\n",
       "      <td>-0.742186</td>\n",
       "      <td>-1.284125</td>\n",
       "      <td>-1.437641</td>\n",
       "      <td>-1.097123</td>\n",
       "      <td>-0.019340</td>\n",
       "      <td>-0.379592</td>\n",
       "      <td>-0.369953</td>\n",
       "      <td>...</td>\n",
       "      <td>2.148336</td>\n",
       "      <td>-0.184784</td>\n",
       "      <td>-0.577629</td>\n",
       "      <td>0.008890</td>\n",
       "      <td>0.939662</td>\n",
       "      <td>0.123768</td>\n",
       "      <td>1.716259</td>\n",
       "      <td>-0.170511</td>\n",
       "      <td>1.124871</td>\n",
       "      <td>-0.558098</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1004 rows × 1440 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fsArea_L_V1_ROI  fsArea_L_MST_ROI  fsArea_L_V6_ROI  fsArea_L_V2_ROI  \\\n",
       "0           -0.829942          1.164264        -0.617506        -1.429303   \n",
       "1           -0.656456         -0.587979        -0.617506        -1.027515   \n",
       "2            0.469190         -0.047704        -0.334418         0.620402   \n",
       "3            0.444982          0.580183         0.395648         0.209878   \n",
       "4           -0.164238         -0.953029        -0.736700        -1.481711   \n",
       "...               ...               ...              ...              ...   \n",
       "999          0.321928          0.930632        -0.215224         0.547614   \n",
       "1000        -0.608041         -0.938427         0.902225        -0.448124   \n",
       "1001         0.434896         -0.719397         1.513097         0.570906   \n",
       "1002         0.323945          1.032846         0.455245         0.075949   \n",
       "1003        -1.033688         -1.259672        -1.317774        -0.742186   \n",
       "\n",
       "      fsArea_L_V3_ROI  fsArea_L_V4_ROI  fsArea_L_V8_ROI  fsArea_L_4_ROI  \\\n",
       "0           -1.262839        -0.828693         0.112244       -0.246071   \n",
       "1           -0.696653        -0.278204        -0.058090       -1.177284   \n",
       "2            0.290980         0.004348        -0.705356       -0.626653   \n",
       "3            0.618772         0.296643        -0.483923        0.312657   \n",
       "4           -1.875853        -1.432770        -0.143256       -1.934400   \n",
       "...               ...              ...              ...             ...   \n",
       "999          0.337807         0.077421        -1.335590        0.729679   \n",
       "1000        -0.126210        -0.356150        -0.381723        2.620446   \n",
       "1001         0.503831         0.218697        -0.143256       -0.217729   \n",
       "1002        -0.092154        -0.273333         0.946877       -0.375631   \n",
       "1003        -1.284125        -1.437641        -1.097123       -0.019340   \n",
       "\n",
       "      fsArea_L_3b_ROI  fsArea_L_FEF_ROI  ...  fsCT_R_p47r_ROI  fsCT_R_TGv_ROI  \\\n",
       "0           -0.313098          1.956778  ...         2.364904       -0.913419   \n",
       "1           -1.504883         -1.282974  ...         0.768075        0.599082   \n",
       "2           -0.128959          0.228910  ...        -0.311878        0.135985   \n",
       "3            0.745699         -0.252144  ...         2.327366        0.184844   \n",
       "4           -2.118678         -1.155347  ...        -0.332091       -0.673373   \n",
       "...               ...               ...  ...              ...             ...   \n",
       "999          1.374839          1.436454  ...         0.028856        0.520483   \n",
       "1000         1.645932          1.387367  ...        -0.306103        0.851874   \n",
       "1001        -0.415397          0.032562  ...         0.655459        0.350539   \n",
       "1002        -0.456317          0.111101  ...         0.103933        0.150855   \n",
       "1003        -0.379592         -0.369953  ...         2.148336       -0.184784   \n",
       "\n",
       "      fsCT_R_MBelt_ROI  fsCT_R_LBelt_ROI  fsCT_R_A4_ROI  fsCT_R_STSva_ROI  \\\n",
       "0             0.315561         -0.580204       0.089160          0.650036   \n",
       "1             0.842638          0.139142       1.103577          0.816385   \n",
       "2             0.384997         -0.988722      -0.077848          0.955513   \n",
       "3             0.053601          0.911773       0.262353         -0.106096   \n",
       "4             0.416558         -0.340422       0.794304         -0.172636   \n",
       "...                ...               ...            ...               ...   \n",
       "999           0.877356          0.447010      -0.306711          0.120743   \n",
       "1000         -0.441914         -0.710456       0.778840          0.030007   \n",
       "1001          0.782672          0.905852       0.345857         -0.278495   \n",
       "1002          1.013071          1.006501       1.323162          0.725649   \n",
       "1003         -0.577629          0.008890       0.939662          0.123768   \n",
       "\n",
       "      fsCT_R_TE1m_ROI  fsCT_R_PI_ROI  fsCT_R_a32pr_ROI  fsCT_R_p24_ROI  \n",
       "0            0.806525      -0.195324         -0.480189       -0.055639  \n",
       "1            0.614441      -0.068156         -0.346434        0.312323  \n",
       "2            0.171579       0.617309          0.205661        0.078857  \n",
       "3            0.883893       0.012487          0.416254        0.160063  \n",
       "4           -1.084975       1.299673          0.999654        2.352611  \n",
       "...               ...            ...               ...             ...  \n",
       "999         -0.295293       0.530463         -0.039082        0.162601  \n",
       "1000         0.673133      -0.012326          0.945582       -0.291643  \n",
       "1001         0.056862       0.642123          0.458942        0.231118  \n",
       "1002        -0.402007       0.037300          0.592697       -0.220588  \n",
       "1003         1.716259      -0.170511          1.124871       -0.558098  \n",
       "\n",
       "[1004 rows x 1440 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scaler = StandardScaler()\n",
    "X.loc[:, :] = scaler.fit_transform(X.loc[:, :])\n",
    "X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Target Variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will create two vectors for our two target variables, `age` and `asd_diagnosis`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = data[\"age\"].copy()\n",
    "asd_diagnosis = data[\"group\"] == \"ASD\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = scaler.fit_transform(age.values.reshape(-1, 1)).ravel()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train/Test Split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This time, we will put aside 104 observations which will be used as a test dataset after training the model. In addition, 5 cross-validation groups (180 observations in each) will be used to estimate the model with the best performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "TRAIN_SIZE = 900\n",
    "\n",
    "X_train, X_test, age_train, age_test, asd_diagnosis_train, asd_diagnosis_test = train_test_split(\n",
    "    X, age, asd_diagnosis, train_size=TRAIN_SIZE, random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predicting Age"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Creation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use `sklearn`'s [`Lasso`](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html) estimator along with the [`GridSearchCV`](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html?highlight=gridsearchcv#sklearn.model_selection.GridSearchCV) class to fine-tune regularization strength by comparing cross-validated models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "# This is the base estimator we will use with varying parameter\n",
    "# values, that will be determined by the parameter grid. \n",
    "linear_estimator = Lasso(max_iter=1_000_000)\n",
    "\n",
    "# Model Configuration\n",
    "#####################\n",
    "\n",
    "# Parameter grid of regularization strengths.\n",
    "ALPHAS = np.logspace(start=-3, stop=0, num=50, endpoint=True)\n",
    "PARAM_GRID = {\"alpha\": ALPHAS}\n",
    "\n",
    "\n",
    "# Search configuration\n",
    "######################\n",
    "\n",
    "N_CROSS_VALIDATIONS = 5\n",
    "# Calculate both R^2 and the nagtive MSE in each iteration of\n",
    "# the cross-validation.\n",
    "SCORING = [\"r2\", \"neg_mean_squared_error\"]\n",
    "# Refit the estimator on the whole dataset with the parameter\n",
    "# setting that has the best cross-validated negative MSE score.\n",
    "SCORER = \"neg_mean_squared_error\"\n",
    "SEARCH_CONFIGURATION = {\n",
    "    \"estimator\": linear_estimator,\n",
    "    \"param_grid\": PARAM_GRID,\n",
    "    \"scoring\": SCORING,\n",
    "    \"refit\": SCORER,\n",
    "    \"cv\": N_CROSS_VALIDATIONS,\n",
    "    \"n_jobs\": 8\n",
    "}\n",
    "\n",
    "# GridSearchCV instantiation\n",
    "linear_model_searcher = GridSearchCV(**SEARCH_CONFIGURATION)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we are ready to fit our model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "_ = linear_model_searcher.fit(X_train, age_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_ages = linear_model_searcher.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get the parameters (of the search grid, in our case just $\\alpha$ values) of the chosen model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.016768329368110083"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_alpha = linear_model_searcher.best_params_[\"alpha\"]\n",
    "best_alpha"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or, retrieve a report of each iteration over the parameter grid:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>mean_fit_time</th>\n",
       "      <th>std_fit_time</th>\n",
       "      <th>mean_score_time</th>\n",
       "      <th>std_score_time</th>\n",
       "      <th>param_alpha</th>\n",
       "      <th>params</th>\n",
       "      <th>split0_test_r2</th>\n",
       "      <th>split1_test_r2</th>\n",
       "      <th>split2_test_r2</th>\n",
       "      <th>split3_test_r2</th>\n",
       "      <th>...</th>\n",
       "      <th>std_test_r2</th>\n",
       "      <th>rank_test_r2</th>\n",
       "      <th>split0_test_neg_mean_squared_error</th>\n",
       "      <th>split1_test_neg_mean_squared_error</th>\n",
       "      <th>split2_test_neg_mean_squared_error</th>\n",
       "      <th>split3_test_neg_mean_squared_error</th>\n",
       "      <th>split4_test_neg_mean_squared_error</th>\n",
       "      <th>mean_test_neg_mean_squared_error</th>\n",
       "      <th>std_test_neg_mean_squared_error</th>\n",
       "      <th>rank_test_neg_mean_squared_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>363.078305</td>\n",
       "      <td>171.751523</td>\n",
       "      <td>0.058706</td>\n",
       "      <td>0.030052</td>\n",
       "      <td>0.001</td>\n",
       "      <td>{'alpha': 0.001}</td>\n",
       "      <td>0.104771</td>\n",
       "      <td>0.319438</td>\n",
       "      <td>0.340513</td>\n",
       "      <td>0.228085</td>\n",
       "      <td>...</td>\n",
       "      <td>0.103020</td>\n",
       "      <td>42</td>\n",
       "      <td>-0.865936</td>\n",
       "      <td>-0.654043</td>\n",
       "      <td>-0.702719</td>\n",
       "      <td>-0.737169</td>\n",
       "      <td>-0.590934</td>\n",
       "      <td>-0.710160</td>\n",
       "      <td>0.092103</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>264.833476</td>\n",
       "      <td>115.685049</td>\n",
       "      <td>0.066993</td>\n",
       "      <td>0.026832</td>\n",
       "      <td>0.0011514</td>\n",
       "      <td>{'alpha': 0.0011513953993264468}</td>\n",
       "      <td>0.166932</td>\n",
       "      <td>0.349092</td>\n",
       "      <td>0.384072</td>\n",
       "      <td>0.270122</td>\n",
       "      <td>...</td>\n",
       "      <td>0.093244</td>\n",
       "      <td>41</td>\n",
       "      <td>-0.805809</td>\n",
       "      <td>-0.625544</td>\n",
       "      <td>-0.656304</td>\n",
       "      <td>-0.697025</td>\n",
       "      <td>-0.559378</td>\n",
       "      <td>-0.668812</td>\n",
       "      <td>0.081937</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>258.364582</td>\n",
       "      <td>115.150424</td>\n",
       "      <td>0.041537</td>\n",
       "      <td>0.011025</td>\n",
       "      <td>0.00132571</td>\n",
       "      <td>{'alpha': 0.0013257113655901094}</td>\n",
       "      <td>0.224170</td>\n",
       "      <td>0.381554</td>\n",
       "      <td>0.427705</td>\n",
       "      <td>0.310049</td>\n",
       "      <td>...</td>\n",
       "      <td>0.085396</td>\n",
       "      <td>39</td>\n",
       "      <td>-0.750444</td>\n",
       "      <td>-0.594347</td>\n",
       "      <td>-0.609811</td>\n",
       "      <td>-0.658895</td>\n",
       "      <td>-0.529737</td>\n",
       "      <td>-0.628647</td>\n",
       "      <td>0.073572</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>194.085589</td>\n",
       "      <td>83.298991</td>\n",
       "      <td>0.051881</td>\n",
       "      <td>0.016746</td>\n",
       "      <td>0.00152642</td>\n",
       "      <td>{'alpha': 0.0015264179671752333}</td>\n",
       "      <td>0.274601</td>\n",
       "      <td>0.419794</td>\n",
       "      <td>0.468977</td>\n",
       "      <td>0.348449</td>\n",
       "      <td>...</td>\n",
       "      <td>0.080323</td>\n",
       "      <td>37</td>\n",
       "      <td>-0.701663</td>\n",
       "      <td>-0.557598</td>\n",
       "      <td>-0.565833</td>\n",
       "      <td>-0.622224</td>\n",
       "      <td>-0.499099</td>\n",
       "      <td>-0.589283</td>\n",
       "      <td>0.068413</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>200.531167</td>\n",
       "      <td>103.443369</td>\n",
       "      <td>0.063850</td>\n",
       "      <td>0.017308</td>\n",
       "      <td>0.00175751</td>\n",
       "      <td>{'alpha': 0.0017575106248547913}</td>\n",
       "      <td>0.319358</td>\n",
       "      <td>0.454740</td>\n",
       "      <td>0.507374</td>\n",
       "      <td>0.384689</td>\n",
       "      <td>...</td>\n",
       "      <td>0.077871</td>\n",
       "      <td>35</td>\n",
       "      <td>-0.658370</td>\n",
       "      <td>-0.524013</td>\n",
       "      <td>-0.524919</td>\n",
       "      <td>-0.587615</td>\n",
       "      <td>-0.463891</td>\n",
       "      <td>-0.551762</td>\n",
       "      <td>0.066125</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean_fit_time  std_fit_time  mean_score_time  std_score_time param_alpha  \\\n",
       "0     363.078305    171.751523         0.058706        0.030052       0.001   \n",
       "1     264.833476    115.685049         0.066993        0.026832   0.0011514   \n",
       "2     258.364582    115.150424         0.041537        0.011025  0.00132571   \n",
       "3     194.085589     83.298991         0.051881        0.016746  0.00152642   \n",
       "4     200.531167    103.443369         0.063850        0.017308  0.00175751   \n",
       "\n",
       "                             params  split0_test_r2  split1_test_r2  \\\n",
       "0                  {'alpha': 0.001}        0.104771        0.319438   \n",
       "1  {'alpha': 0.0011513953993264468}        0.166932        0.349092   \n",
       "2  {'alpha': 0.0013257113655901094}        0.224170        0.381554   \n",
       "3  {'alpha': 0.0015264179671752333}        0.274601        0.419794   \n",
       "4  {'alpha': 0.0017575106248547913}        0.319358        0.454740   \n",
       "\n",
       "   split2_test_r2  split3_test_r2  ...  std_test_r2  rank_test_r2  \\\n",
       "0        0.340513        0.228085  ...     0.103020            42   \n",
       "1        0.384072        0.270122  ...     0.093244            41   \n",
       "2        0.427705        0.310049  ...     0.085396            39   \n",
       "3        0.468977        0.348449  ...     0.080323            37   \n",
       "4        0.507374        0.384689  ...     0.077871            35   \n",
       "\n",
       "   split0_test_neg_mean_squared_error  split1_test_neg_mean_squared_error  \\\n",
       "0                           -0.865936                           -0.654043   \n",
       "1                           -0.805809                           -0.625544   \n",
       "2                           -0.750444                           -0.594347   \n",
       "3                           -0.701663                           -0.557598   \n",
       "4                           -0.658370                           -0.524013   \n",
       "\n",
       "   split2_test_neg_mean_squared_error  split3_test_neg_mean_squared_error  \\\n",
       "0                           -0.702719                           -0.737169   \n",
       "1                           -0.656304                           -0.697025   \n",
       "2                           -0.609811                           -0.658895   \n",
       "3                           -0.565833                           -0.622224   \n",
       "4                           -0.524919                           -0.587615   \n",
       "\n",
       "   split4_test_neg_mean_squared_error  mean_test_neg_mean_squared_error  \\\n",
       "0                           -0.590934                         -0.710160   \n",
       "1                           -0.559378                         -0.668812   \n",
       "2                           -0.529737                         -0.628647   \n",
       "3                           -0.499099                         -0.589283   \n",
       "4                           -0.463891                         -0.551762   \n",
       "\n",
       "   std_test_neg_mean_squared_error  rank_test_neg_mean_squared_error  \n",
       "0                         0.092103                                42  \n",
       "1                         0.081937                                41  \n",
       "2                         0.073572                                39  \n",
       "3                         0.068413                                37  \n",
       "4                         0.066125                                35  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_search_results = pd.DataFrame(linear_model_searcher.cv_results_)\n",
    "linear_search_results.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get the best score (the score of the chosen model):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.3083361821872701"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_model_searcher.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'neg_mean_squared_error'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "scorer"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from myst_nb import glue\n",
    "\n",
    "glue(\"scorer\", SCORER, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since we've specified {glue:}`scorer` as the `refit` parameter, the retrieved score indicates the maximal {glue:}`scorer`, or minimal $MSE$ of the chosen model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Other collected scores (such as $R^2$, in our case) are available in the `cv_results_` dictionary, as demonstrated above."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Model Score by $\\alpha$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.set_title(r\"Test Scores Across Folds by $\\alpha$\")\n",
    "\n",
    "#######\n",
    "# R^2 #\n",
    "#######\n",
    "\n",
    "# Plot mean r2 score\n",
    "ax.semilogx(\"param_alpha\",\n",
    "            \"mean_test_r2\",\n",
    "            data=linear_search_results,\n",
    "            label=r\"$R^2$\",\n",
    "            color=\"orange\")\n",
    "\n",
    "# Plot r2 STD across folds\n",
    "r2_mean = linear_search_results[\"mean_test_r2\"]\n",
    "r2_std = linear_search_results[\"std_test_r2\"]\n",
    "r2_lower_limit = r2_mean - r2_std\n",
    "r2_upper_limit = r2_mean + r2_std\n",
    "ax.fill_between(ALPHAS,\n",
    "                r2_lower_limit,\n",
    "                r2_upper_limit,\n",
    "                color=\"brown\",\n",
    "                alpha=0.1)\n",
    "\n",
    "ax.set_xlabel(r\"$\\alpha$\")\n",
    "ax.set_ylabel(r\"$R^2$\")\n",
    "\n",
    "#######\n",
    "# MSE #\n",
    "#######\n",
    "\n",
    "# Convert negative MSE to MSE\n",
    "mse_mean = -linear_search_results[\"mean_test_neg_mean_squared_error\"]\n",
    "\n",
    "# Created another Axis instance with a shared X-axis\n",
    "mse_ax = ax.twinx()\n",
    "\n",
    "# Plot mean MSE score\n",
    "mse_ax.semilogx(ALPHAS, mse_mean, label=\"MSE\", color=\"blue\")\n",
    "\n",
    "# Plot MSE STD across folds\n",
    "mse_std = linear_search_results[\"std_test_neg_mean_squared_error\"]\n",
    "mse_lower_limit = mse_mean - mse_std\n",
    "mse_upper_limit = mse_mean + mse_std\n",
    "mse_ax.fill_between(ALPHAS,\n",
    "                    mse_lower_limit,\n",
    "                    mse_upper_limit,\n",
    "                    color=\"black\",\n",
    "                    alpha=0.1)\n",
    "\n",
    "mse_ax.set_ylabel(\"$MSE$\")\n",
    "\n",
    "#########\n",
    "# alpha #\n",
    "#########\n",
    "\n",
    "# Chosen alpha\n",
    "ax.axvline(best_alpha, linestyle=\"--\", color=\"black\", label=r\"Chosen $\\alpha$\")\n",
    "\n",
    "# Add legend\n",
    "_ = fig.legend(loc=\"center\", bbox_to_anchor=(1, 0.82))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Predicted Values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualize predicted values against real values in the test dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "ax.scatter(age_test, predicted_ages, color=\"black\", s=8)\n",
    "ax.plot(age_test, age_test, color=\"red\")\n",
    "ax.set_xlabel(\"Real Values\")\n",
    "_ = ax.set_ylabel(\"Predicted Values\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Test $R^2$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6892322516340396"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "\n",
    "r2_score(age_test, predicted_ages)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Test MSE (Mean Squared Prediction Error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.34352044176488217"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "mean_squared_error(age_test, predicted_ages)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Coefficients"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To retrieve the chosen model's coefficients:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0., -0.,  0., ..., -0., -0., -0.])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coefficients = linear_model_searcher.best_estimator_.coef_\n",
    "coefficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "176/1440 features selected (1264 removed)\n"
     ]
    }
   ],
   "source": [
    "n_coefficients = len(coefficients)\n",
    "n_selected_coefficients = (coefficients != 0).sum()\n",
    "n_removed = n_coefficients - n_selected_coefficients\n",
    "\n",
    "print(\n",
    "    f\"{n_selected_coefficients}/{n_coefficients} features selected ({n_removed} removed)\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `GridSearchCV` class does not collect all of the coefficients estimated by the generated models. To be able to visualize these changes over our chosen range of regularization strength values ($\\alpha$) we would have to manually fit these models and \"collect\" the coefficient values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LassoCV\n",
    "\n",
    "lasso_model = LassoCV(max_iter=1_000_000, cv=N_CROSS_VALIDATIONS)\n",
    "lasso_coefficient_values = []\n",
    "\n",
    "for alpha in ALPHAS:\n",
    "    lasso_model.set_params(alphas=[alpha])\n",
    "    lasso_model.fit(X_train, age_train)\n",
    "    lasso_coefficient_values.append(lasso_model.coef_)\n",
    "\n",
    "lasso_coefficient_values = np.array(lasso_coefficient_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "\n",
    "ax.set_title(r\"Lasso: Coefficient Values by $\\alpha$\")\n",
    "\n",
    "# Coefficient values by alpha\n",
    "ax.semilogx(ALPHAS, lasso_coefficient_values, alpha=0.3)\n",
    "ax.set_xlabel(r\"$\\alpha$\")\n",
    "ax.set_ylabel(\"Coefficient Values\")\n",
    "\n",
    "# Number of selected features\n",
    "n_selected_features = (lasso_coefficient_values != 0).sum(axis=1)\n",
    "n_features_ax = ax.twinx()\n",
    "n_features_ax.semilogx(ALPHAS,\n",
    "                       n_selected_features,\n",
    "                       color=\"red\",\n",
    "                       linewidth=2,\n",
    "                       label=\"# Selected Features\")\n",
    "n_features_ax.set_ylabel(\"Number of Selected Features\")\n",
    "\n",
    "# Chosen alpha\n",
    "ax.axvline(best_alpha, linestyle=\"--\", color=\"black\", label=r\"Chosen $\\alpha$\")\n",
    "\n",
    "_ = fig.legend(loc=\"center\", bbox_to_anchor=(0.825, 0.84))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a more convenient table to display the estimated coefficient values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "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></th>\n",
       "      <th></th>\n",
       "      <th>Identifier</th>\n",
       "      <th>Coefficient Value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hemisphere</th>\n",
       "      <th>Region ID</th>\n",
       "      <th>Measurement</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Left</th>\n",
       "      <th>6</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>V4</td>\n",
       "      <td>0.00831037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">7</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>V8</td>\n",
       "      <td>-0.00423239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cortical Volume</th>\n",
       "      <td>V8</td>\n",
       "      <td>-0.0106521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">8</th>\n",
       "      <th>Surface Area</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0363077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Local Gyrification Index</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0254522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Right</th>\n",
       "      <th>172</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>TGv</td>\n",
       "      <td>0.0832754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">173</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>MBelt</td>\n",
       "      <td>-0.0666834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cortical Volume</th>\n",
       "      <td>MBelt</td>\n",
       "      <td>-0.0527789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>LBelt</td>\n",
       "      <td>0.0311854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <th>Cortical Volume</th>\n",
       "      <td>STSva</td>\n",
       "      <td>-0.0310006</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>176 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Identifier Coefficient Value\n",
       "Hemisphere Region ID Measurement                                          \n",
       "Left       6         Cortical Thinkness               V4        0.00831037\n",
       "           7         Cortical Thinkness               V8       -0.00423239\n",
       "                     Cortical Volume                  V8        -0.0106521\n",
       "           8         Surface Area                      4         0.0363077\n",
       "                     Local Gyrification Index          4         0.0254522\n",
       "...                                                  ...               ...\n",
       "Right      172       Cortical Thinkness              TGv         0.0832754\n",
       "           173       Cortical Thinkness            MBelt        -0.0666834\n",
       "                     Cortical Volume               MBelt        -0.0527789\n",
       "           174       Cortical Thinkness            LBelt         0.0311854\n",
       "           176       Cortical Volume               STSva        -0.0310006\n",
       "\n",
       "[176 rows x 2 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MEASUREMENT_DICT = {\n",
    "    \"fsArea\": \"Surface Area\",\n",
    "    \"fsCT\": \"Cortical Thinkness\",\n",
    "    \"fsVol\": \"Cortical Volume\",\n",
    "    \"fsLGI\": \"Local Gyrification Index\"\n",
    "}\n",
    "HEMISPHERE_DICT = {\"L\": \"Left\", \"R\": \"Right\"}\n",
    "REGION_IDS = range(1, 181)\n",
    "FEATURE_INDEX = pd.MultiIndex.from_product(\n",
    "    [HEMISPHERE_DICT.values(), REGION_IDS,\n",
    "     MEASUREMENT_DICT.values()],\n",
    "    names=[\"Hemisphere\", \"Region ID\", \"Measurement\"])\n",
    "COLUMN_NAMES = [\"Identifier\", \"Coefficient Value\"]\n",
    "\n",
    "\n",
    "def parse_coefficient_values(X: pd.DataFrame,\n",
    "                             coefficients: np.ndarray) -> dict:\n",
    "    feature_info = pd.DataFrame(index=FEATURE_INDEX, columns=COLUMN_NAMES)\n",
    "    for i, column_name in enumerate(X.columns):\n",
    "        measurement, hemisphere, identifier, _ = column_name.split(\"_\")\n",
    "        measurement = MEASUREMENT_DICT.get(measurement)\n",
    "        hemisphere = HEMISPHERE_DICT.get(hemisphere)\n",
    "        region_id = i % 180 + 1\n",
    "        feature_info.loc[(hemisphere, region_id,\n",
    "                          measurement), :] = identifier, coefficients[i]\n",
    "    return feature_info\n",
    "\n",
    "\n",
    "coefficient_values = parse_coefficient_values(X, coefficients)\n",
    "coefficient_values[coefficient_values[\"Coefficient Value\"] != 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can easily query our calculated coefficients. E.g. to display the features with the largest estimated coefficient values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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></th>\n",
       "      <th></th>\n",
       "      <th>Identifier</th>\n",
       "      <th>Coefficient Value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hemisphere</th>\n",
       "      <th>Region ID</th>\n",
       "      <th>Measurement</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left</th>\n",
       "      <th>163</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>VVC</td>\n",
       "      <td>0.113866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right</th>\n",
       "      <th>172</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>TGv</td>\n",
       "      <td>0.0832754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Left</th>\n",
       "      <th>120</th>\n",
       "      <th>Local Gyrification Index</th>\n",
       "      <td>H</td>\n",
       "      <td>0.0707692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>TE2p</td>\n",
       "      <td>0.0634453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Right</th>\n",
       "      <th>103</th>\n",
       "      <th>Local Gyrification Index</th>\n",
       "      <td>52</td>\n",
       "      <td>0.0578942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">173</th>\n",
       "      <th>Cortical Volume</th>\n",
       "      <td>MBelt</td>\n",
       "      <td>-0.0527789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>MBelt</td>\n",
       "      <td>-0.0666834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <th>Cortical Volume</th>\n",
       "      <td>8BM</td>\n",
       "      <td>-0.0704005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>2</td>\n",
       "      <td>-0.0761948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <th>Cortical Thinkness</th>\n",
       "      <td>Ig</td>\n",
       "      <td>-0.0867633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1440 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Identifier Coefficient Value\n",
       "Hemisphere Region ID Measurement                                          \n",
       "Left       163       Cortical Thinkness              VVC          0.113866\n",
       "Right      172       Cortical Thinkness              TGv         0.0832754\n",
       "Left       120       Local Gyrification Index          H         0.0707692\n",
       "           136       Cortical Thinkness             TE2p         0.0634453\n",
       "Right      103       Local Gyrification Index         52         0.0578942\n",
       "...                                                  ...               ...\n",
       "           173       Cortical Volume               MBelt        -0.0527789\n",
       "                     Cortical Thinkness            MBelt        -0.0666834\n",
       "           63        Cortical Volume                 8BM        -0.0704005\n",
       "           52        Cortical Thinkness                2        -0.0761948\n",
       "           168       Cortical Thinkness               Ig        -0.0867633\n",
       "\n",
       "[1440 rows x 2 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coefficient_values.sort_values(\"Coefficient Value\", ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or even better, visualize each measurement's coefficient values in their respective ROIs using [`nilearn`](https://nilearn.github.io/) and [`nibabel`](https://nipy.org/nibabel/):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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SJUvQ6/VcuHCBRx99tF7U9Ndff83jjz/O/v37+ec//0lKSgpeXl7079+f3NxcPvroI3r16sVrr73GU089RVpaGkuWLOGuu+7iiy++4I477rgln6+NNm4lMTExfPHFF5aCg0FBQUydOpXbb7+9yQe4yspKYmNjMRgMuLi4UFJSQmFhISEhIURGRhIZGcmwYcN47rnn8PLyYvbs2SgUCjIyMvj8888ZPHgwCoXCap/Z2dlcuXIFURTp3r27XRZrNzc3Zs+ezbhx4/j666/Zt28fv/zyC7t27eL+++9n7NixyGR/jtJR0dHRJCcnk5qaSlBQED/88APfffed1TqTJk3iq6++YtCgQaxbt46RI0dahKLRaOSnn37i0KFDrTKe5j/i26CpCFIayEZpiOHDh4uAOHLkSPH48eNiTU2NmJeXJ65YscKSfWF+eXp6ip999pmYl5cn1tTUiBcvXhSfeuopy/uzZ88WL1++LFZXV4vHjh0T+/fvL6amporvvfee3dko5pcgCOLDDz8sHjp0SCwrKxM1Go2Ympoqfv3115YMjLqvQ4cOiYcOHaq33Jyp0a1bt1bJRgFEpVIpvvfee2JGRoaoVqvFlJQUcdmyZZb3x44dK54/f16srq4WY2NjxTvvvLPeZ/fy8hJ/+eUXsaioSBRFUVy0aFGD56ip76ehz2jP+baVjWIre6nuuVIoFOKKFSvE0tJSsbi4WPzkk0/E5557rt516OrqKn700Udienq6qNFoxIyMDHH9+vXi4MGDRblcLsbGxorbt2+32iYqKkrUaDTiggUL2rJR2vjLkJqaKi5atMiS7TFnzhxxz549osFgsGt7tVotHjt2TDxw4IBYUFAgFhYWivv37xezsrKs1svOzhYnTpwoPvLII5ZlGzZsECdOnCiuWrWq3n4vXLgg7tmzRzxw4IB45MgRUavVNjkWg8EglpWVWf5OSkoSX375Zctnmzdvnnjq1Cm7PtcfgS1btoiRkZFiu3btxGXLlomiKIqvv/66uHHjRlEURbGmpkacNm2a2L59ezE6Olq8cuWKZdt9+/aJAwYMqLfPhQsXikFBQaIgCGJQUFCjc7kZQAxs5GXvvVO4trMGsWVS+yvg4eFBVlYWCxYsqFdfo40/J038FNpoo1UJDw9nzZo1jBo1qtX3XVJSwjfffMPZs2cpKipCpVIxffp0Jk2aZGVlyM3NRalU4urqauVWBZNpPiEhgbKyMjp06EBAQAD5+fkkJibSsWNHq3iJ/Px85s6di7e3t8US/NNPP/HNN98wbdq0ej2bzp49i1qtJiIigqSkJPz9/enUqVODn0ev1xMfH09FRQWRkZGWgHJRFDlx4gRffPGFxYo7ePBg5s2b1+z4vrqEh4eTl5eHVCrF2dmZcePG8emnn96aGhW3EEEQCGzk/WxuYYDoHxlnZ2e6du3KM888Q0VFBd9///2tHlIbbbTRhl1otVo2bNjAzz//TE1NDVlZWTz++OPMnDmzXkC5wWAgOTkZo9GITCYjKCgIb29vVCoVarWahIQEqqqqCAsLswSwGwwGjEajVdo5YHFfGAwGq7EAODg41Bun0WhEIpHg7+9vqYpcXl7eYPBoTk4OZWVliKLIlStXLGJDEAQGDhxIv3792Lx5M99++y1Hjx4lJiaGhx56iDvvvPOGHph//fVXRo0aRW5uLmPHjuXtt9/mrbfeavH+/qgoml6lSdrERh369u3L/v37SUtL48EHH6SmpuZWD6mNNtpoo0ni4+P58MMPLeniAwcOJD09nblz59qMZdDr9ZbAd7lcTkZGBlevXkUikViWh4SEWAVWm5fXtYKYxUftgH5zQLstsWFGEATCw8M5e/YsycnJ9O7du96+DQYDmZmZuLq6IoqizXuyTCbj7rvvZsiQIaxcuZL169fz0UcfsW/fPhYsWHDDweH+/v6MHTvWUonzr0ZrxGy0iY06HDhw4C/rOmqjjTb+eGi1Wv773/+yYcMGRFEkPDycRx55hKioKD7++GMSExPp1q1bve0cHBwIDAwkOzub0NBQFAoFJSUlVFRUoFQq8fHxscpugOuWC3ssG2axUTc41Pye2fTu7OxMUFAQmZmZJCUl0alTJ6t7cGpqKlqtlqCgIAoLCxu9P/v4+PD666+TkZFBeXm5pd/WlClTmDlzps2x2ENmZibbtm1j5MiRLdr+j06b2GijjTba+AuTkpLCBx98YLFIzJgxgxkzZlgm/4kTJ/L999/bFBsAYWFhlJaWkpaWRnR0dJNxDmbLRV2xYcuy0ZgbpW4GTEREBJWVleTl5aFSqQgJCUEURVJSUsjKysLV1dWS6lm7n5ItBEGgQ4cOTJkyhd27d7Nt2zZ+/fVXEhISmD9/vlWxrKa4++67EQSByspKRo4cyZIlS+zetg1rblrX1zbaaKONNm4ep0+f5sUXX+Tq1asEBgayfPly7r//fiuXSfv27dFoNFy9etXmPhQKBX5+fmg0GrsqIldXVyMIQr0Jv7mWjbpIJBK6du2Ko6MjaWlpnDt3jnPnzvHpp59y/PhxunTpgl6vt5Q2b4yCggLKy8sJCwvjiSee4N1336Vdu3ZcuHCB559/3qowYlNs2LCBiooK9u/fz6VLlygsLLR72z8TrVFno01stNHGb4goimi1WqtXW7fLNprLuXPneOutt9DpdNxxxx18/PHHDWZzPPjgg6xcubLBwoTmYMu6rQlsUVVVhVKpbNCyYTAYLO6RxmI2bGUvyOVyevXqRXBwMJWVlVRVVTF37lwMBgP79++npqaG6urqRmNAwNRuYsaMGRaR06VLF5YsWcKQIUNQq9UsWrSIlJSUJj9rbYYPH86cOXN48cUXm7XdnwVFIy97adKN4ufn12o9QNpo4/fKzSp7nJuby4ULF0hNTSUtLY20tDTKysrqradSqXBzc8PHxwdHR0dcXV1xdXXFyckJlUqFSqXC0dHR6v/mvx0cHNrijP6g6HQ61Gq15W+ZTNZkYaq4uDiWLl2Kv78/ffr04ZFHHrH6/rVaLTU1NSiVShwcHIiMjKRr164cPHiQ22+/vd7+FAoFjo6OlmwP87527tzJmDFjLOvp9XrUarVV7w0zgiBYAksNBgMymaxBsVFdXY1er69XAdk8lnbt2hEWFoZEIkEQBDp16sSiRYuQSCQ4ODg06UbJzMykZ8+eVsuUSiULFy5EFEWOHj3Ka6+9xjvvvENoaGij+6rNs88+S3h4OLGxsURFRdm93Z+B3yRmw9yz4o9MVVUV+/fvZ+/evSQlJVmWOzk5ERUVRbvSV1HrIK8E8kohpwQqrjUI9XGDXPmdODg4MHfuXAYOHIiXl5flB6lWq7l8+TLHjx/n4MGDHDhwAHVZOg5yGNgZXrgberUHh9rf1gSTqs/IyODAgQPs27fPEkHevXt3hgwZwujRo5tU8G38PsnIyODIkSMcPXrUUrGxNjKZDIlEYnm6MxgMVFdXU11dTX5+vpUp2ozBYLA8Pfr6+lo1qJNIJPj5+REYGEhwcDBBQUEEBQURERHRpMm5jVvL+PHjrf7++9//zrJlyxpcPysri2XLlqHT6ejRowdz586tJzRzcnLIzMzEYDDQuXNnfH19mTBhAh9++KFNsQGm5mv5+fno9XpLPMWWLVusxIa5enNDdSZkMhlardYiNhqK2UhPT7fpiqlNbcuJQqHg5Zdf5oUXXmDcuHFNCuu6VpfayxcuXMhbb73F6dOnWbZsGR9//HGT4sWMj48PDz74IG+++Sbr16+3a5s2rvOnDRAVRZGkpCS2b9/OwYMHLRe+Uqlk4MCBDBs2jN69eyPbUV+ziSJcyYGjFyEpC04e30ZBGRw/fpz27dvj7+9PUFAQ+fn5VFdXYzQaqampISEhAWchh95d4JPHINS33q5NbDH9WEKA2bNF7rvvPg4ePMiGDRtISkoiPj6eH374gUmTJjFhwgScnJxu0llqo7XIzc1l7969HD582KqngaOjI71796Z9+/ZERLxPeLgj3t7yazdMU3M/URSpqqqitLSU0tJSysvLqaiooLy83CRCTs7hhwMwYtoitFotEokEqVRqMStrtVpycnLIycmxauFtfirs168fffr0oX379vXSCtu4dTTWxt0WarWaf/zjH9TU1DBkyBCeeOIJmxNvcXExarUapVLJpUuXMBqNeHl5WVlQ6mIWvrWvj7qujuzsbARBaNAKWDtI1MHBwdLZubalprS0lLy8PLy8vPDw8LDzk5tKlT/yyCN8+OGHDBkypNF1fX19uXDhgs2gWJlMxiuvvMKLL75Iamoqq1ev5umnn7a5H1vfz8qVK+0e85+JtmwUG1RVVbFv3z527NhhdbH07NmTsWPHMmDAABx2KyEf2GF7H4IAHQJNL1GEyYPg/V/g7JVcrl6VoVAo8PHxobKyEolEQnh4OBcuXKCzTw6394D/mwpKe51ZWwSkwIgJIrfffjvHjh1j3bp1JCcn88033/DTTz8xfPhwxo8f/6dvq/xHQ61Wc+TIEXbv3m3VBM7FxYUBAwYwePBgevXqVSvyfo3N/QiCgLOzM87OzgQHB1vEKCrTq2QYZBfB4mgbkfATRHQ6Hbm5uWRmZpKVlUVWVhaZmZlcvnyZS5cucenSJTZu3IjRaKR79+706NHjmviJaBOyfxBEUWTFihWkp6cTHBzMs88+2+ATvsFgwMPDg06dOhEXF0dGRobFvdEQOp0OR0dHi9goKyuzKgJWUVFBVVUVXl5eDTZ7rN0qvva/tS0N5g7ejXW5boiIiAh69uzJDz/8wHPPPdfgen/72994//33Wb58uU1xrVAoePHFF3n22WfZtWsX0dHRDBo0qNnj+SvxuxcbN7Mcb21EUSQxMZHt27dz6NAhixXDrXIzo3rBmIVZBAYGmm7iu5u3b0GA6Ej4/v/go42wNzYT77BRvPPOOxYf4nfffUfaiU/x84cX72mG0KjNFgFhgsjgwYMZNGgQsbGxrF+/npiYGHbu3MnOnTsZOHAg/fv3Z+jQoXZ1d20ObaV57cN8re3cuZNDhw7h7e1NZmYmCoWCIUOGMHLkSLp3727D7z7G5v7qsaX+BJKQDl0bci1vEZADIRPEeil9arWamJgYYmJiOHnyJAUFBZw4cYITJ05Y1vH19SUiIoLIyEhCQkKIiIjA39+/LQbkd8b27dvZv38/SqWSV199tcHfvyiKVFdX4+7ujpOTE7169SI2NpZ9+/ahUqka3H9NTQ1SqdTyvcfFxdGxY0fL+xkZGeh0OpMYboC61hFbBcDMy8rLy+vV8GgKlUrFkCFD2LBhA2fPnqVPnz421wsICKB379589913zJ492+Y6oaGhPPzww3z22Wf861//olOnTjdc3vzPzF++gmh1dTUHDx5k8+bNVqldvXr1YqzLMgZ2BpkUOBcE527sWIIA8yfAxQzIufAlSUlPEh0dTWlpKRtWPYwgwAv3gOpGNMC1iUYAegG9BkJWB9h2Bg6WPsCZM2c4fvw4a9asYfTo0cyYMaNVffJtpXkbpqysjL1797Jr1y4rN0lgYCBTpkxhyJAhDdzMWy4yzCRmQu8WGLXMLsOBAwfy+OOPk5+fT1xcHAkJCaSmpnL16lXy8/MpKiri5MmTlslCqVTSuXNnbr/9dgYNGtToJNXGzSc/P581a0xWsQULFjRaJ8JcLMucieHo6EhUVBQ//PADUVFRVFdX1/s+a2pq0Gg0FveIKIps2bKF559/HjBZiwsLC3Fzc6tX8rw2dd0utsSGn58fRUVFZGZmotFoaN++fZNdZ82YA6Pvv/9+vvzyS9q3b9/geO677z7ef/99fv31V+666y4Ai2tSLpfj4+PDxIkTOX36NGfPnuXDDz/kzTffbBPZN5E/pNjIyspi06ZN7N27F7VajaurK25ubowePZoxY8YQcLaxtjEmNEYXyoxBaEQXBHQ4SsrxkjaeDqWQw7i+sHaX6UkjOjqafe95YDDAgE7QxY5aMTrRgRx9FBL0CBhxkhTiKslBItg2cQZ5wyNj4YFRqzl8+DDbt2+3mMV3797Nfffdx4QJE1q1tfJfvTRvbfLy8vjll1/YvXv3dYuZmxt33HEHo0ePbvRJr3GhsdPuMYiAtKlQC7NYmdBwQyRfX19GjRplsTQaDAaysrJIS0sjNTXVkjFTVFRksYj8+9//pn///gwfPpy+ffvaPTG00TqIosjKlSvRarUMGzaM4cOHN7p+cXExAO7u7pZl5uyU4OBgysvL64kN8zbmJ/stW7YQFhaGr6+vJfZNFEWb2SN1xwrXm3faEhtyuZwuXbqQkJBAXl4eNTU1hIaG2mXlkEqllmPMmTOH9957j8WLF9u890kkEp577jmWLVuGg4MDISEh5OfnI5VKMRgMVFVVERERwTPPPMOCBQuIiYnh119/ZdKkSU2O46/I796N0tpkZWXx448/sn//fstF16NHD+666y6io6MbnXA1ohOlhjAqjT4UGSKpEd0t7zkKpdSI7nSQ7yZIHtPoGO6Igm/2wqnNb1D1/PMcuWhaPtKOTCidqCRWPYMq0QcZavSYzCAS9LgI2bhL0/GQZuAiyUEiWOfEO+xWcscEkTvUo0h54gpr164lJiaGNWvWsHXrVv72t7/Rv3//VlHmf/XSvGAqkbxu3ToOHz5suWn269ePsWPH0q9fvxsUd3WERiNWDQAnByitsnPXW4RGBUdtpFIpoaGhhIaGMmzYMMvysrIyTpw4wf79+4mPj+fw4cMcPnwYJycnbrvtNoYPH0737t3bngJ/A44cOcLp06dxcnLikUcesSzPycnhypUryOVyS7Cl0Wi0BHGahYMoinz88cfceeedDaaNlpSUIAgCHh4ebN++naNHj1oqZebk5FBeXk5AQECjVo3aNCY2wBQzERUVRW5uLleuXCEhIYHu3bvbFTCqUqkoLS3ltttuIysri3/9618Nxq/IZDLmz5/PwoULiYqKYsSIEfj6+pKammqJX/H09OSpp57iH//4B19++SW9e/duVoXRvwp/GbFRV2RIpVJGjhzJ5MmTbTbYMRpBjSflxkDKjQGUGUKoFk0/PkehFCNSfKUJuEszcRRKMIhSLutGk6IbgYc0DZWktMGxuDlBqA+k5JomZQ9nCPAEn7rNCieMhi27rBal6oZSJfoQJDuDjzQJPUrKDf6UGUNQi65c1d/GVT1I0eEmycRVmo2rJBtnIRe5RGOZlNpdbM+bA+C0J3yeOM+SDjdixAgWLFjQ4vr/baV54eLFi/z444+WrA7ztTZ16tRm5eS3hvvEzIie8J9t0DUEvO27398Qbm5ujBkzhjFjxlBYWMjBgwfZv38/qamp7Nixgx07dhASEsKUKVMYPnx4m7XjJlFVVcVnn30GmJ7ka0/GeXl5lnTokpISsrKyANPE3rlzZ8s9YN26dYSEhBAYGIjBYKjndtVqtZSUlODg4MBnn32GRqNh8eLFyOVytFotKSkpKBSKJq0aUN+yYZ7QbQVpCoJAQEAAzs7OxMbGkpCQQHR0dJP3LpVKRUlJCWq1mrvuuovVq1fz448/MnPmzHrr5ubmkpWVxezZs9m6dSv5+fmEh4ej0+msxjRo0CBGjRrF7t27Wb16NUuWLGkT0nX404sNtVrN119/zebNmy0i44477mDGjBn4+lrnldb86kZhr3hKTz1LheFJ9KIDomCKgpYL1fhIL+EuTcdduIqjpIy615LATlJ0t3NFO4LuDv+r935tgr2viY11nSmvhpxi0Oga/yzlhkBK9GF4SFJpL99n2b+X9AoAeqOUCjGIUkMYpcYQSozhFBtNP3AnoQAQcJVm4SVNwUOShkQwEN0RerdfxbbT8PXFaezbt4+cnBxefvnlZgdfgak076hRozhw4ACzZs2isLDQyhz7Z6a4uJgvv/ySffv2AabaAOPGjWPy5Mn4+Pg0Y092ioxm4OcB9w6FpT+YMp2C6tdUuml4e3szZcoUpkyZQnp6Ovv372fPnj1kZGTw8ccf88033zBp0iTGjRvXltnSynz11VeUlJTQpUsXxo4da/WeSqWirKyMqKgoDAYDpaWllqwm8282Li6Oc+fO8fe//53Tp0/j5+dXb+LPzs4mNTWVw4cPM2XKFMaOHWuZaMvLyzEajYSHh9slKO2J2aiLi4sLHTp0IDExkZSUFDp37tzoMZRKJaIoolarUalUzJ07l48++ohdu3YxevRowCRyUlJSyM7ORi6XEx0dzdChQ1m+fDlpaWl069atXjDonDlzOHbsGOfOnePUqVP079+/yc/bRvP43YqNmJgY/vWvf5Gfn49EImHUqFHMmDHDKsdbu9mJfH0X8kM/o0L9GKSkIBgicJIU4Cu5gLOkAFdJNo5CaaPiAcBTdpU8QxH5hs7kGnoSIItrcN0gL3BVQVkVOF4T4jVaGytes24YRDmJ2rFocKWbYqPNscgkBjxIx0OaDoBBlFNh9KfcGEi10ZNiQzty9FHk6KOQocFbmoyP7CIekqvcNQB6hK9j6Q9QURHECy+8wOuvv97iVNnapXk3bNjQon38UTAajfz66698++231NTUIJfLueeee7j77rtvYkGs5guSLiHwzGR4/38wuAvcPeha8PNvSGhoKA8++CCzZs3iwIED/O9//+Pq1at8+eWX/Pjjj4wbN4677rqrmeKsDVtcunSJbdu2IZVKmT9/fr0nbQ8PD3JycigoKCAsLKzetXrhwgW++OIL3njjDctkX9f1ZzAY+Prrr0lNTeXtt9+2lC03U11djSiKzQ4QbsqNUhc/Pz9yc3PJy8tr0l3j4OCAVCq1VCeVSCQsWLCAhQsXWtzIly5doqamBldXV7p27WopKvbKK6/w9NNPU1FRweDBg6326+bmxqxZs1i9ejVr1qyhd+/ebRa7WvwhslGaW463qqqKzz//nF27TC6Idu3a8cwzz9CuXTvTClsE9KIDGbr+ZOofw4gMyZVv8Jam4Fs6Dw/HFGRCE2aGBmiv2ENJTRjJ2tEgGgmQx9tcr1oD5dWmDBXHa8XxbIoNQGN0JEE7mWrRi1DZcZwlBXaNRSrocJdm4C41ZT6IIlSLXhQYOlKg70KuoTu5hu64SHKJkB8k3C+dD+bCP35eRZZmIi+99BILFy5kwIABzT4P8NcozVteXs4///lPzp07R01NDb169WL+/Pk2TcbmlFdRFOnSpcstGC2084flf4N1h+HlL+GJ8dC++eUKbhiZTMYdd9zByJEjOXv2LL/88gtxcXH873//49y5c3To0IGpU6c2ETzbRkPo9Xo+/fRTAKZOnWrTVezl5YWzszMlJSWEhoZaiZHY2Fg2btzIG2+8gaenJzU1NTaPs2bNGvLz81m8eHE9oQEm64kgCFRXV9uVFmpPgKgtzF1az5w5w9WrV+uVGq87JqPRSHFxsaVWh0Kh4O6772blypUWEREeHk5ISIjVsXU6HVOmTGHdunWcPHmy3r1x/PjxbNu2jczMTDZt2sTUqVOb/Mx/FVpDdt30coLjx4+39HFwdHRk8eLFDa6bm5vLiy++yK5du5DL5Tz44IO8//77JqGxRYAtAjn6npyoeZR0/QAchEo6KbYxyHEF3Rw24SNLbLHQAFAINUQpf8RFkk2SdixXdbYLvThfS2+tVF+3bFRr6qy0ZRcajYIY35fQGp0Jkp4hXH64xWMTBHCSFBEuP0Y/5Rf0VX5JgCyWSqMvcZp7iVNPR6lyYdkDMNJ/MxqNhrfeeov//e9/NpseNUXt0rx/RhITE3nmmWc4d+4crq6ujB07loCAAFatWsXTTz/Nm2++yZ49eyxCWRAE1Go1hYWFt7RxmkwKM4fDM5NgzQ5TZlRTLrybhSAI9O3bl7feeosPPviAYcOGkZmZye7du3nyySd5++23SU5OvjWD+wOzb98+rl69ir+/PzNmzLC5jkQiwd3dnbKyMsrLyy3Ljx07xjfffMMzzzxjEQjm8vglJSWWOIoff/yRmJgYZs+e3aAodHd3RxAEuzudNuRGaah8eG2cnZ3x9fVFq9VSUVHR4HpOTk54eHhQUFBAYmIihYWFZGRkoFAoOH36NCqVit69e1t6q9SmuLgYuVzOSy+9xI8//silS5es3pfJZDz66KMA/PDDD5by7G20TtfXm2rZaE453kuXLrFs2TLKysoICwvj5ZdftvoRiCKk6oaToY9GIVQRKduNvyyuXtbGjeIkKaSrwybOq6eTphuCsyTfEldhWaeW2FBds2yo61g2jKKEhISeqNVK2g18g+DY0CZdOfYiCOAsFNJRsYtg2WlSdUMpNHTknGYWPRzW8+zkQoIOb+abCxP54osvyMzM5IknnmjUovRXKs174MABPvzwQ0vviJdeesmquZQoiuTm5nLw4EFeeuklIiMjeeihh/Dy8qKsrIySkpJb7ioI8YF/PATbTsPCL2DqYBjWnVa7xppLZGQkCxcuJCcnx5IqfPToUY4ePUrPnj2ZPn06UVFRbYF3TaDX6/nhhx8AmD17dqMBk+b3zJP6nj172LNnD0uWLLGKn5HL5URERJCamkpcXBwXL15k37593HfffXTt2rXRXiISicTu3iFmmmvZMBMYGEhMTAy5ubmNujA7dOhAWloaubm5lt5dLi4uuLm5ERUV1aD7o7y8HCcnJ4KCgnj11VdZsmQJS5cutYpL69OnD/379+fkyZN89dVXPPvss3aNvY2m+V00Sjh8+DCvvvoqZWVl9O7dm+XLl1ur7S0CSdqxZOijcZbk0Vf5NYHymFYXGmYchCq6OmxAhoZLmvHUGK19iM7XfnuVNdfrH+jrlMlI1Q2jvNyNgIBsQkJCECY237pgDypJCd0cNtFRsROt6EyM+j6qRF/uHQovvfQSCoWCnTt3smjRIiorK2/KGP5IbN++nffffx+DwcBdd93F22+/Xa+LpTlSfsaMGXz00Uf07t2b1157jYICkwusVbsgTxjd4k0FAcZHw1sPwKVMeOUrUy+fW0lAQADz58/n888/Z+rUqTg6OhIXF8frr7/O888/z5EjR1pkafursHv3bvLz8wkJCWHo0KGNrlteXo4gCKhUKjZt2sSRI0dYtGiRzUDdwMBAfHx8iIuLY9OmTcyZM4dOnTrh6lo3je46FRUV6PV6u8VCS90oZswCw1zPpiFUKhVdunQhKiqKjh070qlTJ3r27ElERESD1giDwUBhYSFSqRSFQoG3tzdz5szhX//6V73rce7cuchkMvbv38+VK1ds7u+vRmtYNm652Dh48CDLly9Hp9Mxbtw43njjjXoBSRUGH/IM3XGTZBLl8AMKwd6iAy1kwmhUd0XTSbEdPQ5c0Y2wetvsRqlSg/l3VPtyrTT6kKXvi3NhAu3bJ9ba7827yQbI4uiq2IABBWnaQYgi3FY2lLfffht3d3fi4uJ48cUXycnJuWlj+L2zYcMGVqxYgSiKPPTQQzz22GNN1ssQBIEhQ4bw2muvsW7dOo4dO0Z+fr4lQK0+9hfrai1cVDDvTnhyPHy3Hz744AOKiop+83HUxtPTkzlz5rB27VoefPBB3NzcuHz5Mu+88w4vvPCCVS+ZNkxotVp+/PFHAGbNmtXoJK3VaiksLMTb25utW7dy4cIFXn311QY7RUskEtzc3Dh16hSLFy8mOjqaoKCgRsdTXFyMo6OjzZbytmhJNkptzCLFHjEqCALu7u4EBATg7++PTCaz6lhbl9LSUktDOjN9+/bF29ub3bute1gEBgYybdo0nJycWLNmTZs4xhQg2tDLXm6p2Dh16hQffPABoihy//338+STT9q8+Wd1PIgEHR3ku28oJqNZbNmFtywZT0kKaqMrFYbrqbZmy0ZFDUiuWYWNtYws2boo5FQRKd+NVHpzrC+28JZdwUd6iWJjO2pEU05+x44d+eCDDwgPDycrK+sve6PftGkTn3/+OQCPP/4406ZNa9b2Pj4+LFu2DB8fH1avXs25czdY//4mEOoLi2bB0KFDefPNN9m+ffstv1E6OTkxffp0vvjiC5544gk8PT1JTk7mlVdeYdmyZZb6EG3Azp07KSwsJDw8vMnOpmax++uvv5KYmMjChQubFM5ffvkl8+fPt6rD0RiFhYXodDq7i3nZ0xulMczxJC11tZWUlDSYqm+OO7GV8rpp0yZLh1ozd999N6IoEh8fz6lTp1o0nj8Tf2jLRkxMDO+8845FRc6cOdP2RbZFoKKiAqmgxVlqX6DSDVHHrB0oO0eV6Eup8XpEuCVA1Pcxi9iofU/PN3RFIVTiKs22sf+be/P3kF5FREql8VqK8BYBHx8fli9fTnR0NBUVFbz22mts2rTplk9EvxWHDx+29JZ4+umnmTBhQov2I5FIePjhh5kyZQorV67klVde4eeff+bEiRMkJSVx+fJlUlJSSE2tITm5iri4Ck6dKuPQoRKOHSslLq6CK1eqyc/X3pxzP0FEmCgSHR3Nu+++S3p6OosWLSI/P7/1j9VMFAoF48ePZ9WqVdx///0olUpOnDjBk08+ycqVKykrK7vVQ7ylaLVaDhw4AJisGk1NuC4uLpw9e5a0tDTGjRvX5P4zMzOprq62O5NKFEVqampwdnb+zdwopaWlAI26dhrCYDAgkUhsnjezC0WlUtVzMTk6OjJw4ED2799vtdzJyclSKGzt2rWNdsxtwz5uSZ2NixcvsmzZMrRaLT169OCBBx6wvaK5uuLVlUhC5kHhf27uwGz4z5US001QK16/SC0xG5WVCNd+F4ZrBgyDKMOAAqWkvNZexmBlXp8g2lU5siVIsJ0p4ejoyGuvvcbatWvZsGEDq1evJiEhgaeeeupPXYzpwoULFuvZQw89ZCn801IkEgn9+vXD19eXoKAg8vPzuXz5MqWlpYiiiNFoxGjMRy6XoFSaXg4OEvR6kepqA1VVBsrK9OTlaenVy4XevV2IMoAdAfvNQqlU8thjjxEfH8+yZct48sknmyyY9FugVCqZOXMmY8eO5bvvvmPHjh1s3bqVffv2MX36dCZPntziCrh/ZHbv3s2lS5eIiopi4MCBTa7/yy+/oNfrefLJJykuLubcuXN07969wWDOjRs3cs8999g9HtN1bLyhWhONVRC1RXFxMQ4ODnaVLa9LQUFBvUKPtfer1+tNsXM2xMi4ceNYvXp1vXvD+PHj2bx5M5mZmezatcsuUfdn5Q9ZQTQpKYnFixej0Wi44447ePzxx5s2m4U9YfJTmCfpmzFZWywO1gWXRFGCo1CCjOu56hbLRmWlJfrfvLWAAUehBAlNuHtukuAQaXifEomEuXPn0rlzZz7++GOOHDlCSkoKr7zyil3liP9oZGRksGzZMnQ6HePHj2+1vPmAgAAyMjKoqalh8ODB9QoEwdM0VbjLaBRJSqriwIFS1m6God3gzr6m+IsW0YDFrHv37rzxxhssXbqUV155xWY9hVuBh4cH8+fP56677mLt2rWcPn2ar7/+mq1bt/LII4806Ub4M6HX61m3bh0Ad955Z5P3w/j4eM6cOcObb76JRCIhIyOD/Px8zp49S9euXetN1qIocvHiRZ544gm7x2R2K9hyzZQLAq51LHO1LXWCICCKYj23SmMYDAaKiooQBKFFDz9FRUUNVk0uKirCwcGhQTHi5eXFSy+9VG+5TCbjwQcf5N133+X7779n1KhRrdrw8o/EH6LORm1Onz7Nq6++SnV1NUOGDOGpp55q/Ic14bpZznIx3ww3RCP71ONIjehhlfkil5meRI21AjXM/5UIIlrRCXWtRm+/Lebz2fBnGjJkCB9//DERERHk5ORYapv8mdwqxcXFLF68mMrKSgYMGMC8efNaLe1SqVTi4eFBcXFxi83/EolA587OzJsXzD/ngosjvPYNrNoGha3sUfD29mbSpEmcPHmydXfcCoSGhrJo0SKWLVtGu3btKCws5J133uHdd9/9y7hW9u/fT0FBASEhITaEqzWVlZV89tlnPP/880ilUgRBIDQ0lPDwcERR5Pz58/UyMjIzM+nYsaPdFgYwTbSCIDRYEKxcEKxedantUrHnd5eXl4dWqyUwMLBFv9PKykqcnZ3rLddqteTn5+Po6IhSqWxw+4aOOWTIEMLDwykuLubIkSPNHtefhT9UgOiuXbt488030Wg0jBw5khdffBGpVEpFRQXl5eW2CyXdJFeDhQliHaFR/2nUHGjpIJRbLTenvJrn59p7UQrl1IgeWM/drd8zwxZlVQb2Hb3EqUvXbhI2hFRVVRUqlYq3336bMWPGoNVq+eSTT1i1ahXV1dW/yThvJjU1NSxZsoT8/Hw6derEwoULm3WjtYeIiAgEQSApKclKdLYEBznc2Q8+egx6hpt6oGw5Ba2p/SIiIn7XaXxRUVF89NFHPPHEEyiVSg4fPsyTTz7J4cMtL4T3R8BoNPLzzz8DMH369CYn2mPHjjFy5Mh6T/He3t6WOiaXLl2yCnhMTk5udidTmUyGj48PZWVlZIWENCosXGtZMZqK16i7D1EUKSkpITU1FalUSmBgYLPGaaYhsVFYWIgoilZtLpqDIAiWGK9ff/21Rfv4M/CHCBA1GAysXr2aTz75hNDQUO69916effZZpFIpV65c4ezZs1y4cIHU1FSb24siJO9fhF6vv/7kfaMipJ7IaJhyg6kkrrPEOsjO3JfCvJfa8UPOknx0ogqNWDfQqY7gaMY4mqK4Aj7bDsu/L8LFWUmPiGsDrHOuNBoNZ8+eJSkpifPnz/Pwww/z3HPPERISwubNm3n66adJSUlplTHdCkRR5MMPPyQlJYXAwEDeeOONBtMBbwRnZ2dCQkKorq4mPT3dxhp2psDW6gwsCDCoi6kkeUEZvPoVZNhX3b5JAgMDWzXt+aeffuLixYuttj8w3djHjx/PihUr6NmzJ+Xl5bz77ru88847VlUy/0wcOXKE7Oxs/Pz8GDZsWJPrx8fHN1jO28XFhXbt2qHVaq2+65SUlBb1SQoODsbwv/+RNHUqeb16NWgrLa9teb6G0WhEv3kzho0brYSKVqUidexYztx9NydnzuTwE08QFxeHdt06Qh96qMVuiurqapvxKmbrWEviQMzcfvvtODs7k5iY2FYR9wa4qWKjoqKCxYsXs2nTJmQyGZMmTeKBBx5AEASKiorIzMzEycnJUrGxXjGXCSIGIyQmpfHZhwu5vPYGG2M1c3JXG13JN3RBJRTjKFibJmWNWDbMFUfT9U0HerVkXHW5mAGLv4PuYfDinN706xmOj2PR9X3XIjMzE6PRiKOjI1qtlsTEREaMGMHLL79M+/btycvL46WXXvpdpnbaw88//8yxY8dwcnJi0aJFLYpst5fQ0FBUKhUZGRlUVbWg9kstoVEbBznMGQWPjjM1Xou1R/s1IcAdHByaLJbUHJKSkuzql9ESfH19LUGtSqWSI0eO8NRTT/0pU7Z37NgBwJQpU+wq652RkdFozxlzZdva12NJSUmLukC7uLjQ6403kGo0pI8axYWHHiLzttsoiYzEUCtwtFHLRq39GeRyzj/6KMWdO1MWHk6Vvz+CwYD7P/5B5x9+wP0GHnJcXV1tljkvLy9HqVTe0AOHUqm0BI/+Va0bv2vLRlVVFa+99hoxMTG4ubnx1ltvMWbM9Sf7q1ev4ujoSPfu3QkLC8NoNFK+rav1TrYIyKTwxAQjE4aH89FmJf/+978pbrh0fsO0YDJP1Q3FiIwI+YF6ZaBlYSb/ny0Lurc0ERdJDrn6HlRV1Q52av2CT3ti4Itd8MZMGNQZKsRg3CSZKIVym5+5rKwMmUxGt27dCA4OpqamhqKiIkJDQ/nnP//JsGHDUKvVLFmyhL1797b6eG8mZ86c4b///S+CIPDCCy+02CRrL1JpIJGRj2A0bicx8XkMhkDAr9arCZqoHtrOH5bcD//dD0ftMSJc6x9kS3i0dplwrVbb7DLWzUEQBO68805WrFhBly5dKC4u5tVXX21xr5/fI4WFhcTFxSGTyRg+fHiT6+fl5eHk5NRoto5er0cmk1lNrlVVVS3OOPPw8KD72rV4nz+Pxt2dkg4duDx5MnGPPUZBjx711jdfZ5ZMlFrvSXQ6RKkUx4IC+n78MX0//piea9YQsXMnTtfKjrcUX19fmynerXXdT5gwAUEQOHTokCVF96/E71ZsaLVa3nrrLYsp+8MPP6RrV2shodFokMlkKJVKXFxccHR0pKrXHps3THdJFv4BwcydNZqoqvm8+T18s9dUwfNmkdFzLvmGLrhJMur1RoHrqYrmJljyWg8lggDt5fsRfR24cCEKjcbOMBqzhcNOYZScBbtjYNkD4O0GpcYQqkUvlEKpzR4ZRqMRnU6Hp6enpQKfwWCwNBuTy+W8+OKLTJ06FYPBwEcffcSJEyfsG/stJicnh/fee89SIC46OvomH9EkJtzdcwkKiqeiwpuLF0dhNNb+ScU2vosGLBu1cXOCJbNg62nYcaYZw7MhOGpnCLQGv8Wk7+vryz/+8Q+mT5+Oi4sL//3vf1m8ePGfwq1y8OBBRFGkf//+domB/fv3c/vttzf4viiKpKSkoNfrrfZXWVl5Q+ntMo2GiB076P2vfxGxfTvBBw4gAoXdu6O9tl97LBsCIK+sRNdI35OWEhgYyNWrV+stV6lUaDQaq87jLcHPz4/+/fuj1+vZvn37De3rj8jvMkDUaDTy/vvvc/78eTw9PVm6dKnNplWCIFguSCcnJ9RqdYOK0UFSgb/0PBViMBGRUbw/F/zcTW2249PsGJRdk/d1q0t2diApKZE4hjnRxWGzzYnb7FpUd3QGPwXy2q7GCb64TdLRvv1xamociYvrg1bbTF9kE6LDYIBV22H+RJPZ3SDKSNaORYKBELntrIOKigrUarXlqcdWapogCMyZM4f7778fURR57733fteBhQBqtZq33nqLqqoqBg4cyL333vubHr99+xP4+KRSVBRCUtKwOoGdDQgOO4SGGZXSZLk6nACnkpoxsDqCw9vbu9X6uvyWDdXMKYgvvvgiSqWSs2fP8swzz5CYmNj0xr9j9u3bB8DIkSObXPfSpUscP368wZRgrVZLfHw8RUVFeHt7W6V5NlbGuzlIjEacc3MJOHWKwGPHqAwKovKaS6eu8LTcW+rsw/3yZfQODlReaw/fWri5uaFSqer1f/Lz80MURZKSkm5YHE+cOBGAbdu23dLOz39UWlVsiKLIypUrOXr0KE5OTixZsqTB3GZHR0dqamowGo1IpVJLu2S10baPvZ1iPwqhihTdcLSCG2P6mEzMX+yCM5db7zPk5fmTnh6BSpVBz57f4DDR9hOBTGa62ep0pgtYFu0KE3xNr2sEB8cTHr4PURSIj+/d8gvUhujYfAp6t4Pga20LUnVDqRHdCZUfx0lSfH3FWlYi80Rj9t+a/bq2zOEzZsxg5MiRaDQa3nzzzd9tGqIoipYsmuDgYJ577rmbOBHadpEIgkjnzvvw8MgmL68D8fHj0GobTrNrCQo5/N9U+HY/5BQ3ubqJOtdNz549OX/+fKuMR7ARFHiz6d27Nx9//DGdO3emsLCQl1566Q9bCTctLY20tDRcXFzo27dvo+tevHiRlStX8ve//91m+mZFRQVnz56lpqYGPz8/OnfufNPFoHDtnEvrxAHV7m8imzgRxaxZVu97JSRglMko6t693j7r1u5oLu3atSMmJsZqmY+PD76+vpaMl+ai0WjIysoiMTGRTp06ERQURHFxMQkJCTc0VnvYvn07nTp1okOHDrzzzjs2xzZjxgw6dOjAgAEDLJ2709LScHR0pFevXvTq1YvHH3/css24ceOIioqiW7duPP7443ZXRv3duVG2bdvG9u3bUSgUvPHGG4SHhze4rru7O0ql0qJEAwICEEWRHH19PyCAXNAQKd+FAQXxmqnoRCWeLibB8eNBOHzBxkbNCrzcSXGxJ4mJ3RDFMrp124FSeU0lT6gvmKQZptRScz8uudz2jzs09BxeXgVUVIwhPj6++WmS5vHX+hx6A+w6B9NvM/2drYsyNX6T5BMiq+X2qPVkq9fryc/PR6VSWYImzRHctto5C4LAggULLP7yzz77rHnj/o3YtGkTu3fvprq6mldffbVeE7/Woen4C4nESNeuu/DxSaW4OJgzZ6ZQWmouoNWAdaOZHV9dVPDkBPh0s51psXUsG4MGDWLHjh1/yMnZjLe3N2+//TaTJ0+2ZLotX768VYNffwvM8VBDhw61ZGDo9Xo0Go3VPSIlJYWvv/6av//97zYbolVVVREXF4dOpyM4OJjOnTvbFWh6o9RcG4uivNwqG8WWyKktIpxyc1FUVVHRzFRce+jbt6/NwPbIyEicnZ0pLCwkNTXVrutfFEVycnI4ffo0ly9fJicnh8uXL1uEYWxsEy7SG8RgMDB//ny2bdtGQkIC33//fT2B8/nnn+Ph4cHly5d57rnnrAqTtW/fnpiYGGJiYvjPf65X3v7pp5+IjY0lPj6egoICS9p1U/yuxEZJSQlff/01AM8880y9GI26ODs7U11dbYkg9vLyQqFQkGOIwiDa/gjesstEyA9RLXqSpB2DQZTiooLF31Sx7Qyc8D5uWrEF2R0ajYZLl55GIimmR49tqFR1fMJ1BIc5RkOjMR2nISulIEC7divw9/enrKysRer6+hhMnysh3ZR5opBDsT6cK9rhOAgVdHdYb1V8rDa5ubkYcjYSEBBgeSotLi5GIpE0mG4ml8t5/vnnUSgUHDx4kDNnmhM0cPOJj4/niy++AEw9T5pbS6B5NC04ZDIdXbrsITLyCHq9A3FxE7lwYRRlZX71xUELW8t3DIIwX9gXZ+cGtQSHr68v/fv3Z/369S06dl1ulWiRyWQ88sgjvPLKKzg6OnL48GEWLVr0h6kRYzQaLX1QzDEYOp2OmJgY4uPjOXHiBBkZGRgMBiIiIli2bJlNC7FOpyMpyeRX69Kly00PiDYjAlV+fjinp6O81l249JrFpW5dDfM1YhYcAqAsKkLt4dFI2cGWERISQq6NQFOZTEaPHj2QSCSkp6eTnJzcqDitrq4mNjaWzMxMBEGgU6dOBAQEUFxcbKm0fLPFxsmTJ+nQoQPt2rVDoVAwc+ZMNm7caLXOxo0beeihhwCYNm0ae/bsafI3aX7Q1Ov1aLVauy1gvyux8c0331BVVUW/fv0YOnRok+ubn6bNYkMikRAcHIzO516y9H0a3C5EdoJg2QkK9ZEkau9EHG9EpVLx8ppyvv32W4oHNb+1ttFoJCEhAZ1OR8eOB3F2bsBObXaTTPDFK9qJgIAAtNrGxQaAIPjToUMHnJ2dyczMtHQgbCmXfH+kbweoMPqRoJ2Mg6SSbor1OAi20y/1ooL0Y+8gD7rHUq5ao9Gg0+lsFsKpjb+/P/fffz8AK1asaKS1+m9LSUkJ7777LkajkWnTpjVZefG3QhAgMPAivXtvxM0tm8LCcGJi7iImJozs7CCqqpysM5gmjG628LhvGGw60bKiX1OmTOHs2bM37E65FW6UugwePJj3338fT09P4uPjee211/4QgaMXL16kuLgYf39/S7+avLw81Go1EonEEuh57tw5MjMzbe6joqKCc+fOUV5eTmhoqN1t4FuDGh8fqv39URUXW+oVGwH95s0WsdHYJGaUSlHW2ra1sBWzYUahUBAVFYWLiws5OTmcPHmSlJQUiouLKS8vp7KykpycHOLi4jh9+jRlZWW4uroSHR2Nv78/oaGhCIKAm5sb7u7uaDSalqW720lWVpbVw1NwcHC9Dsm115HJZLi5uVF0TfylpqbSu3dvhg8fzqFDh6y2Gzt2LL6+vri4uDS7+/WN0CqF3pOTkzl06BChoaF2l4VWKBTI5XKrp5HA2Aiy1Q9TSAcCZHHIhfqlcgUBIuSHqRZ9KDB0RrlhOO3uOYiLiwt/+9vfWLFiBa+99lqzfJY5OTmUl5cTGPgxvr725XpXV4vk5HyFq6vJxGGO4WgIqVRK165dOXv2LMnJyXh4eLTY3JmdnU3U+EvEn/8YI1IiFbtxaaQjbrYuCkEwEJr/FDLZmWvjN533psQGwOTJk9m/fz+pqals3bq1WQ2dbgbmwl2lpaX07NmT2bNn39Lx2MLZuZioqK1UVnqRmdmD/Pz2lJebWnXLZAYcHatQqapwcqrCwUGNZMAsBOETJEd6I8GARDAgQY8EAwZkGEQH9DhgEBXo5Up8AkrYmOBB90hPDKICA3LTS5RjRI6IgAwNMkGN8soVFAoFSqUSZ2dnXnjhBd58803ee++9BtIoOwGNB1/+HsQGmJ5mly9fzmuvvUZycjIvv/wyS5cubVFdid8Ks9CLjo62inEwGAyEh4fj6upKTk4OeXl5pKSkkJGRgYeHBy4uLkilUkpLSykoMFV7i4iIaLTuxs1Af82K4VAroN98Jeh/+gl+/NFq/doVQ3WOjlQFBeFsQ0TZ6rnSHGqfS1v3f7lcTq9evcjPzyc9PZ2MjAwyMjIs8YPmfbi5uRESEmJVR8bR0RF3d3dKS0vx8fEhOTmZS5cuNRlvcysICAggPT0dLy8vzpw5w913382FCxcsVo0dO3agVqu5//772bt3r13NKVujNeINiw1RFPnyyy9Rq9UWFWgPgiCgVCqvpyRtEZAKECo7SpJuPOm6/rRXHLC5rUQQ6ar4lRjNfWTq++N7rVRtr1692LVrF5cvXyYyMtKucRiNRjIyMpDJZERE2N87wmzJMA+/6WBvPxwd3QkJ2UVqaiq5ubkEBQXZfbzaqNVqcg8/Ba5RdFJsx0Nqq4KlCa3oSLp+MHKq8JfGWBrZmc97Y/0CzEilUh588EGWLFnC8ePHmTBhwi3tzPnrr79y7tw5XFxceOGFF26yj7plZY7NODsX0bnzfiIiTlJaepyqqiWUlblTXe1ERUXtYOiBQDy4fWO9g/zNNvfbpU8l67efwyPC2gooRYdUMJmIq0UvjKIM6tzY5XI57du35z//+Q+zZ8/GxcXFRrZC44LD39+fzMzM38Wk7ufnx7vvvsvrr79Oeno6L730EkuXLiWglTMeWguz2OheK0jS0dERR0dH1Go1Hh4eBAcHExAQQE5ODllZWeTn51vqSDg7O1uqhbq5uf3m45dcCyo01KrlYTbWmU3ltiZ7URBIGzsWUSLB6yYFWDo7O1NVVdXgQ5REIsHf3x9fX1+Ki4stMTJ6vR4HBwe8vb0bvLe5u7tTUlJCREQEycnJJCQk3DSxERQUREZGhuXvzMzMevOFeZ3g4GD0ej1lZWV4eXkhCIIl47Bv3760b9+epKQk+vXrZ9lWqVQyefJkNm7caJfY+F10fU1KSiIuLg5nZ+fmmWS2CCg1d1Fh6IR+8wjMhgF/2UUy9IPJ1feknY1iWmakgo5I+S7Oae7nyo5H6DnlewRBYMiQIZw4ccJusZGbm4tGoyE8PByZLBN7JxcHB9PArsds2GdJCQwMJDMzk/T0dAICAlrUs6O0tJTKgM6ESK7iJ228qmKBvjMG5LRXHEcquXZL2CKg1g4HzyV2iQ0wXbTdu3cnPj6ePXv2cOeddzZ73K1BWloaa9euBeCxxx67oTLETXNjQuM6eTg4gKk9w7+BMYgiaLUKqqud0Wo/xmg01mpRX+sVNM8UVxM3CxkapIIGmaBB6q8lRlVMYEUCYb56pOiRoKv3e9Ebpej6v4laraampobKykoqKiro0aMHK1euJDg4GG9vb1xdXfH29sbLazLXk5MaFhxRUVHExcURFRXVSueocS5duoSvr2+DVUs9PT155513WLx4MUlJSbz00ku8++67vzvBodPpuHTpEmAtNqRSKTU1NVb1IKRSKcHBwQQHB6PVaqmoqECn01mC628VyuJipNXVlEZE4BMXh6KiwmLZcLjmcjWj/f57AIwSCRkjRlDaoQMeycl438RqsPZYtSUSSbNdT05OTjg6OtKuXTuAm5qREh0dTXJyMqmpqQQFBfHDDz/w3XffWa0zadIkvvrqKwYNGsS6desYOXIkgiBQUFCAp6cnUqmUlJQUkpOTadeuneW3HxAQgF6vZ8uWLXaFPMDvRGzs2mWqFzBmzBi7TPIWJog4bRhEldELtdEV52tuAEEQcZFkk2/oih4lchouxuIqzcFXepF8QxdKS0vx8PCgc+fO7Nxpf6VOc1vjBoOrdtWvSgegUDgDY9BqTZ/fvpL+pchkMvz9/cnIyKCioqJFTyYFBQXIujnTXrGvQTFmRi2a9u8mybZarhcVqFQqu29a5oZE8fHx/O9//2Ps2LGt3tysKbRaLe+99x56vZ4hQ4YgkUjIy8u7CW3TW0tkNMROBAEcHEwvu2h3vF52yeCOcCkNIhsZrkxiQHbtqbm2MDMYDDg4OLBhwwYeeOABSktLKSvbwJUrd6FSlePllYmv71WcnW0Lju7du7daoKk9nDt3jnbt2jFgwIAG13FxcWHZsmUsXbqU8+fPs3jxYv75z3/azLa6VZiDE8PCwqxK6ZutFg2JKYVC8buwIgHI1GrCd+3iyuTJJNx/P+03bcKYnY1s4kSbE32Vry9p48ZR7euLU24uEVu3tnq8hhmNRtNiq6u5bYYtgWo0GsnLy6OmpoawsDDA9KCt0+lapYZJXWQyGZ9++iljx47FYDDwt7/9jW7duvHGG2/Qr18/Jk2axNy5c3nggQfo0KEDnp6e/PDDD4CpWNwbb7yBXC5HIpHwn//8B09PT/Ly8pg0aZLFmjNixAirtNibzQ2JDbVazcGDBwEYNWpUCw6uplr0RoMrzlyPOXAQTEE+aqM7cmnjZWx9pInkG7pYngg8PT0pKipq0G9XG6PRSFlZWS0zcp27dgNCA0B+xTRGbboGakB+WgslwGjf+tuOto4k9/DwICMjg9LS0haJDUEQkBsKcJI0HWhac63VvUKwDpyqEn3Qpn2NLL+/aYEd2TuDBg3C19eXnJwcLly4QA8b5YpvJl9++SXp6ekEBQUxf/584uLiSE1NxcfHp5VdKXm0juBonQJaFiaIVoKjRxh8vRfuanj+bRCpVMrgwYPZtm0bnp6edOlyHyUlARQVBVFUFEhGRlcyMrri4lKMv/9EfH3TkMl0mIWHk5MTRqOR6urqm5RubE1AQAAZGRmNig0wuSNef/11Xn75ZVJSUnjrrbdYunTpTZkQWoItF0peXh65ubk4Ozvf1F4+rYlncjKGHTu4OmoUl2bNQrzWabb2A4jBYKBm/HgutW+PAPifOkXgkSNIG6g3dKN1NuB6ufaWUFlZyQcffMCgQYO45557LHFJBQUFpKWlUVNTg4eHB126dCEkJISMjAwuX75Mly5dbnjcthg/fjzjx4+3Wvbmm29a/q9UKm2mrk6dOpWpU6fWW+7n58epU6daNJbW+PXc0KPp0aNHqampoXPnzi1KO3SUmApFVRut1XyZMRAJehwlJbY2s8KIFFng3VaTjZeXF8XFTVc+qqysxGAwXJvwa00uu/IbFRpgqtpJwebr5crN13etbcvH1FoGgDvQCVdXVwRBaHGNfZVKhVZnXzEWZ0kBiFBmuG65EUXTOXeUNO/4UqnUkqpnFpm/FTExMfz6669IpVJefPFFXFxcCA0NRavVNhixf2PUEgrm77SJa+K3JtALsotvrBX9xIkT2bJlCzJZPD4+6XTufIxBg36hZ8+9+PqmUVXlRnJyP44du4eLFwdRWjoUUewEdGLQoEG1rIidWuMjNUiPHj3sTjd0dHTkjTfewMvLiwsXLvDxxx//LoJZAeLi4vDx8aF3796AKavk8uXLuLi40L17d8sDUlFREf/+9785cuTIDR/zRj+7q9gRV7FjveU+58/T5dtvcb98mapHHqG8vJyCggLi4uI4d+4cpaWl1NTU4PrQQ3T66SdCDhxoRGjU339LaWlBMxcXF95++23Ky8tZvHgxqampnD59muTkZHQ6HSEhIXTr1g2pVGoRi3WLiP1ZueXlys0uFHsCTOqxRcBZYrJaVBivm61qjK5UGALwlV5EJjSdZqkW3dDr9VaK2l6xYc7IMJlZr00uu/LrWSJsoZADPhPRXfvtyGw8WLtaeXPcLf+TSqWoVKoW1wWQy+VUaJ0wiE0/zftKLyIXqsg3XK97UiN6oEeJi6T5zY/MbbAPHz78m5Xs1ev1lsI0s2bNokOHDoAp/kWpVJKRkdF6RZ12CbVeNyowboI7plYNGUEAD2cob+oyaqRBW3R0NPHx8ZZofACJRMTDI48uXY4xaND/iIw8jZNTGfn54cTG3kFMzBgKC4OYOPEV9u59+Fr6usniUd7CG31TeHl5UVFRYff37OXlxRtvvIFSqeTAgQP8WCdD4lag0WhISEigsLDQUoeotLQUtVpNYGAgDg4OVFZW8tVXX7Fs2TL69u3bKindrVVN1JboCMhzJ3LDBnr27IlSqbS4MMzuDDc3NzpER+PUSJn81hQaNyqsZDIZDzzwAH379uWFF14gNjYWf39/+vXrR7t27SwPteZgy5ZaCv5o3NI6G7m5ucTHx+Pg4MBtt93WvI2v3fQUQg2OQillxiDL01mZMRRRkOImzWhkByaMopRs/4+RyWS4u7tblnt4eNhlNdDpdDg6Olr7+Eb72jXBKGRAwWa01+bb2o3Yysdcf9XnuhlaLpfbXS62Np6enqj1Ajn6poPzVJJi5IKGMuN1y1O50RTV7CLJub5iEy3KzYSFhREWFkZlZeVv1oZ+48aNZGVlERQUxJQpUyzLpVIpERERGAwGS6neZmMlLuw4B3ZZOfJqvW4S1wSHkxKqm1P6pM73LJFIGDFiBPv378d0bVrHZ8hkOgIDk+nTZwd9+27Hzy+VigpPLlwYxvnzExgxogMrV7avVbyp9SaOunTt2rVZQXnt2rXjpZdeQhAEvvvuu1telO7ixYvo9XratWtniSPRarVIpVISEhL45JNPeP755wkMDOT9999nwIABv2kPGnsxiw7zd+0qdkSlGoWTkxNeXl707NmTwYMH4+LigmTDBktp84b29XvCYDBw/vx53NzceOaZZ0hLS+PIkSP14kB69uyJXC4nOTn5L9kFtiW0WGycPXsWMD0ZNctnW+dm5yFNRWdUUnZtAjSKJn+ErRobdcnV90Cj0RAcHGzlpzPnQzeFOUL/+oXkDrg3IhSuo7gm6SxiQ2ZbYDS0H4lEQlVVVYusA76+vhjdh5Gh72+XdUMmqC3nFaDIEAGiiIekfpdEezC3wzZXQbyZFBUVWQKf5s2bV88f6+Pjg4uLC7m5uTe1yI5NGhQdNzvA9BoTRBwVUHODRh1zBldTODuX0Lnzcfr3/5XAwGRqapzx9JxA9fbu/D04mFyplHIh6aZZN3r37t3syo39+vWzNBV8//33bVaY/K0wm9x79eplWda+fXvat29vKkhYXMy9995LQEAA+fn5zW9t0ADNfdrXarWcP3+eCxcuUFRUVKeTsW3MQ60bNC67994GYzFqC43qaldSUlI4efLkDU3eNyLOjEYjSUlJVFRU4O/vz9ChQ1m6dClqtZrPP//c6jwqlUp69uwJcMtF7G/BLbVsmAOd7Ep9a8SM6y+NA0Eg91pPFOO1IUlo/IdWbXQnzXcFMpmsXv6xOR+6KcxBY3VNs+YfQWOCQ3FtzjO7UdT3N7yurf2YS8W2JJjJyckJd3d3tD4zSdUNb9JnL2DEiEmUqI2uFBk64iNNwkFiu9peU5jTpU6fPt1qN8SG+OKLL1Cr1QwePNji566NIAi0a9fOUnWxWdhjybBrP3UFx020aNRmi4BchiVuqDnb1cbX15fS0lK7XRRKZRWRkacZMGATISEJ3N69Ox5DhvB09+6c79EDURBuiuDo3r17iyqf3nvvvQwePBhnZ2feeeedW9ZHxSyUaouNwsJCPvvsM5588kleeOEFgoODqaqqIjExkRMnTpCZmdki6+eNkJSURFFREQUFBcTHx3PmzJ1UVNjOkjFjNJpiuBrKUKttDaltFTEYZCQlRXPq1ARLhl5cXFyLKhXfqAslKSmJ/Px8/Pz86NixIxKJBEEQePTRR9Hr9fWCMc01Nk6fPn1Dx/0jcMvEhiiKxMWZmjM0mJHQiMCojbOkAJVQTKGhE0ZRYhEZdYNGa1Nl8CDebwd6vZ4OHTrUm7DttWyYAzVttd12FTviurNhwVFXbHiuqxuj0TBVVVWWwjMtyaJQKpW4urri4uJClucbpOlua1BwGI0CatEVCaYbVoGhEyICPjIbvcprf2eNfG/+/v74+PhQVVVFenrDBcVulPj4eA4ePIhCoWDu3LkNrufu7o63tzfFxcV2icybgkVw/EZC4xpF5eDVCpmdPXr0aPZErlCoadculp6ffcak9HTu7tGD9+Vy1t15J5WBgZS3sugwuzzNJZntRRAEnn76aURR5MqVK3z++eetNiZ7qaio4MqVK8jlcku8RlVVFf/4xz+YNWsWffv2xcXFhc6dO9O7d2/Cw8Mt4z116hS5ubktmkztycqriyAICIJAv379CA4OpqbGlXPnxpCe3g2j0fa+GmvE1lDwcHm5N2fO3ElOTgdcXYvo3r07gYGBiKLYorR6g8HQ4kyUkpIS8vLyTDEmHTpYfQ5BEHjssce4fPmyVWB8dHQ0YErL/rO3nL9lAaJXr16lvLwcT09P2/Up7PT/w7UgN+lVDMipFj3xliXiLrlKqvY2yg3W9RNEEQr0nYj13ozBYCAyMhI/v/oma3tjITw8PPDy8rKUBjaj18spLAwi9oNxJNx/P2dWTEZttE5JM7tRageImoVJTnQ0KePGcfG++8ju359qX1+LGNBqtSQlJaHRaGjfvr2dZ8kaBwcHdDodPXr0wNvbm3TPZSRoJ6EVnazWM4oCl/WjMYhyQmWmJnUVRtM5dZc204VS5zvt1q0bABcu2Gq3e+MYjUZWrVoFwPTp0202oqpNREQEgiBw5coV+2/Ko0XTqzVorf00k8Jy8G5JtmSd77NPnz4tjsGRaTQEnDjBnT//zEsqFQeKi1nRuzcpo0dbSlu3FuPGjavXkMoenJycePnll5HJZGzduvU3z6Y6d+4coijSpUsXFAoFOp2Ot99+mxkzZtRLnVQoFISFhTFgwADCw8MxGAwkJiba3bG0Ni1JBXW8VtVNp9PRvn17evXahVJZRWpqT86fH4HBUH9/ZgunWSRIJBJcXFxQKrfZPEZ2dgdiYkajVjsRERFHVNQuPD09qaioQC6Xt0g06HS6FvWIMRqNXLlyBYlEYrFo1EUikfDcc8+xYcMGSzNNf39/iyXqRnsN/RVokdgwn9iePXu2SgCTs8T0VFhp9EMh1BAoi0EUZCRqx5GiHUqxIZwcfXfOh8aS4L4Ko9FIhw4dGqwOaDQa7bIYCIJAREQEcrmcK1eucOzYPRw9OpWjR6dy8bWOFHbvTo23NyUdO5L0vnV+v4NZbFzTNDXX2oVonZ3Juu02Sjp2pNrPj4KePbnw4IPsf+5Ojh6dwokTJ9BqtQQGBra41LC5zLtcLqdTp054enpS6PU8p2r+Rqr2NooNEeTquxGnuZd8fWdUkmIC5HGWc6wUypALDRdLs9CIleNmi40jR46QlpaGj4+PVVBoQ6hUKgIDA6mqqmq+X77VRMdva9Uw3mlAFKE1aqtFRERw9apZgDbeF6UhpFotXQ4f5p3Ll5EWFfFRVRUnH3yQKz16UNZKFo4hQ4YQExNDWVlZs7dt3749jz32GAD/+te/blLKtG0OHz4MwMCBAwH47rvv6Nu3b6N1Q6RSKWFhYURHR+Ps7ExGRkazx6xWq20+kDWGj48PgKX/iqtrIX37bsPPL43SUj/i44dhMNS+vyZiNBoJCQmxPBRIpVIqKiqorKz/u8rJaU9ycjQKRTW9e+8gNPQCEolIRUUFNTU1eHt7t2hecXBwsBRHaw7meK/AwMBG4w8dHR154YUX+OSTTyyuOHP82o4dO5p93D8St8yNYnahmANkbhwjRlFAJ5oUtY8smSiH7zGKUjL0AzivmUaS+6eUlJTg4+NDdHS05QdhC4PBYLcZTqVS0a9fP1xdXVEoanB0rMDDIxe/06fp/vnn9Pn4Y1T5+RR2724VjGnOPtFfExte1wR8YY8eiFIpETt20OvTTwnbswffmBhU+fkolVWoVCrCwsIs6ZstoXZPGZlMRvfu3enSpQuS4PtI1w/kvGYqido7KTOGECg7S0+Hn5AKJse+TnRE4MZ9wLXFRmvXMDAajXx/rczxjBkz7K4IGBYWhkwmIy0trflmzdaK3/gNuXjxIh1upKt4LRHp5uZWZwKvn5nSEHVTIp0LC3nh+HEm5Oay5vhxjg8axKVZs8hrhQqYUqmUOXPm8N5777UolmHcuHEMGzYMtVrNBx98cNNjjsCUYn/69GlLO4WLFy+SlJTE3Xffbdf2CoXCkv2QlZXVrN9bS4ItnZ2dUalUlJWVWY4llerp1OkYfn6plJb6ceFCbcHRydJjyuzGNN9/DQbrsebmtiM5uT8ODtVERe3BxeW629N8/TVlxWwIiUSCXq9v9nWRm5trEXZNERQUxMiRI/n2228BU+VsiUTC8ePHb50L9zegNcRGixxctmr7txRRhFx9FA5CNT7S63EErtJc+jl+SbkxkIpeh3FwcMDV1dVi4msMg8HQrFgIhUJx7bNsp1yoH8vgkpUFokjJPQ4ortXGcFhpGrtZbEglppiNIrWAi64E1epcpHo97qmpuF8zu/E9uIqf2D2uhlAqlVYBVIIg4Ovra6pF0KUL5eXlKM6Nx02SVa9wV4DsHBm6gZQYwvBoiSvlWsplcHAwLi4uFBcXt3rJ8MOHD5ORkYGvry933HGH3dvJ5XLCwsK4cuUKGRkZREREtNqYfo8cPXqUwY+ehtx+Ta/cENe+U0EQUCgUaDQaSxMnE4m0pGCXAIxNSaGTgwPvlZXRtV8/BsyeTWWPHrSLi7shi2ifPn1ITU3lzTffZNasWZa24eZmWpGRkTg5OdncVhAE5s+fT0JCAsnJyWzevJlJkya1eCz2cOLECXQ6Hd27d0elUvGf//yHv//97806B3K5HG9vb3JychptNFaX1NRUwsPDmzVeQRDo2rUrSqWyTuwCdOp0AhDIywsnIWEo3bodRCIxYjDcAXS33HfN/xoM1+NG8vPDSEoagFxeQ8+ee3F0tA5QDwkJwd3dvXltL+oQHh7O1atXLf1LmkKn01FZWYmHh4fdrpuJEyfy2muvkZiYSKdOnRg2bBgpKSkcPHiQyZMnt3jsv2duSQXRyspKSktLcXBwuOEJRhQhVTeUUmMIHtJUlJJyq/elggGPSemEhobi5+dnl9CA5osNM7aERrW3N8WdOqF1c0Oqux72r5CZxi+KprRX829SKhioMXpQ+vUARBs3k9YImFMqlVZFmMxIpVLc3d0JDQ3Ff3K8zQqh/rILSAQDl7R3Um10b/EYBEGgY0fT0+x18/uNYzQaLamu9957b7N9t4GBgTg6OpKZmdmiiPYWcQviNcxB2lFRUXaVmm+UaxaOwMBAsrOzbaxgv5WjLuEaDR9evYpx3z5+PHGCiyNHEnPXXTccUDd16lRmz57Nr7/+ys8//8yFCxdITU3lzJkzLF68mFdeeYXNmzfbPI5KpbL0hPjmm28s7oKbhdmFctttt7F27VomTpzYoqd3cy2h5qR4JyUlWX6nzcHJycnmPVQQRDp1Oo6v71WKiwNITzdZOM3GBLNFwxxkCiNMFYurXUhMHIBcriYqag8qVYXN47q4uNyQEO3SpQsXL160e32z9aZ+Q8fCWi9rBEFgwYIFrFy5Eq1Wy2233UZ6ejq7d+9u8bj/CjRbbJh9hkFBQbYvimYEh17VDyJDPwBnST4dFHvqr9DCm2hz3ChgMnPu37+fDcB2wDxFFUdGkjJhAgYHB8J27bKIDdedJoFhFE0vea35MFhxGhdpDnlbwkm+5x70jXTaKi4uJj8/v9mTYm03SqPYOH8qSQmRip3oRCfiNDOoMTYzurDW92tOOc7KymrePhqhpVYNMxKJhIiICIxGoyWQyy5uUYBnSzl+/DjdunVrcfS9LYKDg5v4LhsXHA0VaFIATxUXMzk2lv9u3UqMry9nz5694bookZGRvPjiizzzzDM8+OCDzJw5k7lz5/Lee+/x8ssvU1lZyUsvvWSxxNZmwIABDBkyBLVazcqVK29aOfOKigri4+MJCwvDxcWFgoKCFvWRApPLVKVSNctNkJycfEMuW1sIgkjHjidQqcpJT+9GWZnXNXfJPiuBYv6/Vitw6dIgjEYpnToda1BotAZdunRpVuE3c+zF9YaUtgVGXQICArjjjjv49ttvLZlEaWlpzbvn/IFojWyUZt+pzGIjODi4/pvNEBrpuv5c1Q3BSSikp8PPyOuWJr+Bp7WmAkRFUaS0tJQDBw5w7NgxSkpK6Nu3LwEuLhRXVBAPhPTqxdVRo5Cp1XT8+WdcM0wVTc3prQ5yk1XDaLSuHioRDLSb/gNX77iDwp49uThrFp1//BF5dTVGqZSy8HCqcnI4dOgQu3fvxsvLi6qqKoKCghg2bBh9+/ZtMkahrhulUcznsdZ34y+7gIiUJO0Y4jQz6OXwAw6S5t8AWlts1LZqzJgxo8UTqbe3N25ubuTl5REYGGhfc6uWxmzcIqvGunXrePXVV68vnGBqT1+5ORiN6IpGdEYjulj+1YtKJIIBJyEfuaDGS3oZV0kWEuH6+Bu2bNSmcbeKq9jRpoUQ4Da1mo6XL7O8qoqroaFoNBp69OhhVf23tXBzc2PmzJkMGzaM//znP0RGRjJ79myrB6THHnuMmJgYTp06xZEjR5pfCdkOjh49SnV1NW5ubqxfv55FixZdG0PtCc2+DAqpVEr18Z/Q5x2CZcebXN9gMKBWqxt0Kd0IUqmBzp2PcfHiIFJS+iAIOcCIemJDr9eTkbEZg2ElQUGJeHre3KJqYWFhXL16FaPRaNcDp+leq0WnK6Th78H2exMnTuTvf/87mZmZDB06lK1bt7Jv374/pfv2lrSYN4sNm43X6nSlbHAfur6k6oahEorpqfypfrXQGzQLN+ZGMRgMrF+/ng0bNhAQEED//v0t7iD9vHmEXLyIVKMhPygIRVkZnX7+GWVpab0aGmY3ilEE9kL53utCRGIwEL5zJ4rKSvL69SN58mSc8/IoCw1FP2cOJCXh6+vLzJkzkUqleHh4IIoiMTExfPfdd4wYMYLx48c32P7dbstGIwTI4jCKUi7r7iBWM4Mo5fc4CM170jSnPTc9QdlHbavGyJEjW7wfQRBo3749586dIykpiT59+jR+4/mDBYcePXrUkoVUUVFBSUnJtRbxZRjdvof8zVbrS9EiF2rQiw7oxRDUohuZ+n7IqcFTegVv6WU8rrWc1+nsqRBmtnA0P5bDF3gnJ4cffH1Zu3Yt06dPJzo6ukUpi/YQGBjIkiVL+Oyzz1i1ahXz5s2zCA5PT0/mzJnDihUrWLVqFb169bqheAFbmKvsurm50blz5wZayNeezBqe9LTLoiF0MnJ9Dcyrc82uqn/PTExMbHWrRm1cXIrx8somM7MzWq0pM7Cu2BBFkatXr+LkNJ2IiEdu2ljMCIJAly5drLtS1z5Xq8Trf68Sr4kNBZWVNdhj0ah7rIceeoj//ve/TJ8+na1bt3Lo0CEefvjh32WZ+RvhlooNm5YNO8jW9eKKbgSOQik9HX5CIdTpInWj/mdoUNWeO3eOVatWoVKpePTRR+nVqxeCIGAwGDAYDGT+85+UREYiymTIKivp8v33KBtIsVPUcqOYT2LtAmACEHT0KIgi2UOGUBUUhHNmJiEREahUKqRSKRKJhLKyMq5evYpUKuWBBx7gvvvuY9u2bSxcuJA77riDO++8s07Anolmm31tCMEg+TmMSEnR3U6c2iQ4FE2Via/1/bSmZUMURUuzrBuxaphxcXEhKCiIzMxMMjIyGo40/50JDVEU0el0lmvS/NLr9Wg0GkpKSvj3v//No48+ytGjRy0xCUqlEmdnZ9zd3XHs9AIOJweiECpwECqRCdpa+xcoNwZQZOhAkaEDeYbu5Bm6Izl6lKysLEslUfsygFoWPCoDnnzySQ4fPszHH3/M1W+/5Z733292iqa9mIsyrVmzhl9//dUqIHTs2LHs27ePhIQEvvzySxYsWNBqxy0sLCQ+Ph6pVEpqairz5s3j0qVLVFYW4ubmRGioHw4O5vNce6KzbfWoUpr+r9TZuCfNE+oJjlOnTtG/f//W+TANEBKSQHZ2R/LyQoDqemJDo9FYOqZKpb9N4avbbruNw4cP2y44WVt4zBNwFiQ4PXKAkpIKiovL8fRs2ApqNBopKyujuroapVKJl5cXnTp1srzn6upKYWEh2dnZ9apat9ECsZFxzZ3QErGRpevNZd0dKIUyejr8WL9cdisIDahv2SgtLWX16tXo9XqmTJmCSqVi4MCByGQyjEYjGo0GiUSCcvNmNK6uaF1dcSwsRNaI9UBxzY0iGhs/iYHHjuGRnIze0RHnzEwcvvgCiURiERBubm4YjUauXr1KYWEhvr6+TJ48mbFjx7J161YWLlzIAw88YKlWB6abWIueBG0IjhD5aUSkpOqGEqeeQQ+H9Xa7VLy9vVEoFJSUlFBdXd28Hjl1OH36NOnp6Xh7e9+QVaM24eHhFBUVWfbb6ubk0SJr166lpqaG6dOnN5qOXRdRFCkvL6esrIyamho0Gg1qtRqNRtNoOua6deuIjo5GoVCgVCpxc3PD3d0dNzc3a4HWQKaRIIi4SbNxk2bTjoNUGz0pNHSgyHkWpaWl5OTkcPz4cdzc3PD29sbb29um2L1OywRHuSBwmyjiO3ky77Rrx+UHH+TZzz9v8UNMUwiCwJw5c3jllVfo27evZTIwB/s9/fTT7Nixg9tvv71VsuzAVCvGHHx42223UV2dS3FxNlqtnupqNcXF5QQEeBMc7GP1cCSKIhUVlVRVVeHvb8rkEEUvCtw6IzVqca1qoNZGrSd2MPVimTFjRit8ktqxOtbftUKhwccnnfh4F/T6cqvPIZFI0Gg0iKKIn9+ddhynEy0NRK5N9+7dWbNmjV2uFIlopMtXkzg342fi468QFORDeHiAZf7Q6fSUl1dRUFBIeXk5NTU16PV6/P39Lb+5Bx54gNWrV9OjRw+OHDlCbGzsn05sSBs7jXZmjzdLbBgMBnJzcxEEwXbl0IbGIkq5rBtJjj4KB6GCng4/oaw7obWS0ABTIRuFQoEoiuzevZtNmzYxe/ZsOnbsSFxcHH5+fpYbc2pqKsXFxdTU1OA7YAB+Z8/iUF7exBGuWzYMYuMmJgFQFZqeVLIGDSL/5EkcHBzw8/MjPDwcQRAICAggPT2drKwsS5S6UqlkypQpjBgxgjVr1rB7924ee+wxvLy8KCgoaHEuui3BESo/gREJV3VDOKN5gG6KjbhJs+pvV/ezCQL+/v6kp6eTm5trd7qZLdatWwfA5MmTWy3oUSqV0rFjR2JjY0lKSrJYslrLmlFdXc2WLVvQaDTs2rWLUaNGNVntVKPRkJubS1ZWlpXLwixAXV1dcXBwQCaTIZFIkMlkSKVSpFIp58+fx9vbmwULFjR9jmzE6thCJSkmVHKS0Ow+VHY7iMFgsJT7Ly0t5fLly7i6uuLj44O3t3cDrj3ryaixuI3alAsC/sDbBgOrBw7khbvvZsl//0vnzp2b3LYlyOVy5s2bx7///W+WLVtmMXWHhIQwffp0vv/+e1atWsUnn3zSKmbwU6dOYTQaKS8v5+6776awsBCJRELfvp1Qq7VcuZJNamo2ublFBAR44evriYODnLNn49iwYSuOjkpycvLw8fEmJCSUUJkHYSUxSMWmA0Tz8vJwd3dv0BXbcuq70Ly9MzAaw+tVKzXXvXBxcUEub6ofzY2LDDNSqZQuXboQHx9vVy0oJ20JvXp15MSJWNav38rly1eorKzgttsGW+oJAXh4+OHr60tBQQGFhYWWLJ+wsDA8PT0tojw2Npbx48e32uf5XdCYodNOj36z7uplZWUYjUbc3NzsLrSkMbqQqB1NibEdbpJMujpsuimuk9oUFBTg4eHB66+/TmhoKMuXL8fR0ZHERNMFXVso5efno9PpcFixgqyhQ8nv1Qu/M2fwjY21SnWti1wGIibrhuMU4JeGx2OUSCjs1o3cfv1wu5balZ6ejoODA4GBgTg4OODt7U1BQQE1NTVWKb4eHh4sXLiQc0cE3nz9Ve4cDYVV3xAaGtryE2RDcITLj6EUykjWjiFWfS/tFXsJlMUiTGz8u/Hw8CA9Pf2GOjVevHiRhIQEnJycGDt2bIv3Ywt3d3dL4GNmZiYhl27gvNVBpVLx4Ycf8uOPP3Lw4EG2b9/O7t27ueOOO5g8ebJVXJMoiqSnp5Oeno7RaMTJyQk/Pz88PT1RqVQoFIpGJ7js7Gx+/fVXli5d2qoZKLVRKBR4enrSs2dPdDodRUVFFBYWUlJSQnl5OVeuXMHFxcVi8bBtyTJPGvZP1o5lZcyNjWX32LG88cYbPPLII4wZ00Tb5RYSGRlJWFgYe/futcp2mjZtGjt37rS0FL/RYFG1Ws2FCxcoLCxk3rx5ODk5kZ5+EY1Gh0Ihx8XFCU9PNzIy8sjMLCAlJZvU1Bw8PFwICQnl//7vaQRBglqt4cKFyxxas5zdGYW8EXgR7OiFc/LkSStraOtzXRy4uGgwGj9Dr0+xsiibLXSNC57WExm1GT16NOvWraPniihEQC13RSN3AUFApS5CYbjuLk4oge/f/QhRFImIaEd09FRkMgeUSjlOTo44O6vw8nJFpVIiCD4UFRXh7OxsaeTJFoFZvvDm9yDmw/nzLi3qSfO7prEn6pslNgC7o8eLDO1J1IwDRAKlZ2ivOIBEqGNzqSM0tFqtxa1hfqIzxzfYy+HDh9Hr9SxcuNDiUwNTjRC5XG51k5RIJKhUKjqsW0d+nz4UR0aSefvtFPTuTYf//c9ilaiLIFzPQhGgwaZtInBl4kTKw8KQaTT4T5yId1oap06dIj8/3yJ83N3dKSgooKqqymY9kd5R0K0LvPAqnL+0hv/9738Nfn5RNGUm1Pb5g2lytJxHG4LDX5aAk1DMFd0wLutGUxr5LR11uus/KhuYr4UbERvr1683DWnCBLtrqTSHiIgIioqKSLv8IR49fXGOa35J43pcy0IJCQnhxRdfZObMmfz4448cOHCAHTt2sGPHDrp378748eMZMGAAKSkp5OXloVKpCA8Pb3ZJ5gsXLvDss8+2uMR9k0wQEY8ft4xJLpfj7++Pv78/er2e4uJiCgsLKS4uJjU1ldTUVJycnPDx8SEgIKDew4erKDarpoxTbi5Djx3D88472bJlC+fPn2f+/Pk34ckcZs+ezUsvvUR0dLQlU0mhUDBz5kxWrFjBt99+y+DBg1vUDMzMhQsX0Ol06HQ67r33XgBcXZ3Izy8hO7uIiIgApFIJ4eEBhIT4UlhYRl5eMSUl5RQXmyyrcrkMnU4PSLm7swszheOsidPT1QNmtgeFrRj4VSKiKLJ//35ef/31Fo+/OSgUCosVo64bxfy+tUXk5giM2kRGRlJdXU16Jeg6DCfTOxqZQY1earqe/Evi0CUe5OdLahxl8Og/HyA01A4X3hYBg88JRFG0EhT+HhAZCLklpnTnlJSUFve++rPSLLFhnlDsueFl6PqRorsdGRoiFTvxldm4wCaIaLVa8vPzKSsro6Kiol5Kp1QqtdTNkMlkODs7W16enp5WStpgMLBmzRo6d+5cz9RsDqg0d3o1o1AoTPn+goD/6dP4xMSQ17cvBT16cOm++2i/eTNuDeROm/ujGBp4+Fe7u5M1eDCVgYG4p6QQtnMnsmvBfwA1NTWWC9bR0RFHR0fbWSaVwrWxwr/+CYeOHGDx4sUsWLCAwMBASktLqayspLKykpqaGoxGI6Io4uTkZFXLQCKR4OzsjIuLC56enniMNyJstb6hukhz6SbZRKL2TgoLC6murqZHjx4o9zham+av/d/Hx8fSAbYlZGVlkZWVhb+/P3fddVeL9lGPSutJTgZ0CQsi9uIMEi7fRZ/+XyM72dy+7LWwke4aHBzMCy+8wMyZM9mwYQP79+8nPj6e8+fPIwgCPXv2ZPTo0fTu3btFlonRo0e3bKx2ZohBw0HHMpkMX19ffH19MRgMlJSUUFBQQHFxMV9++SUDBw6kffv2BAcHW4mD5goOz6QkeuzahVNKCsnJybz00ks888wzN+Ses4VKpWLmzJl8+eWXPP3005blo0aN4ueffyYzM5MDBw4wYsSIFh/DXEekY8eOpgyXLQIBooQs32Nknv4C7/jvcJHkwwQRqRT8/Pzw8ytErdZSXFyGVmsKppRIJHh6uuD03SYER/hHf/j1Krx0Ah7vCp3cTQ80RkGGVDRtc/78eUs1zt8CQRAs8W+1H0zM91lr0XbzhYaZ6dOn88WzaxgxsB8eFSl4VKUjClKSjL58GFuGUezBM90S6fb1Fft2uMUUk+WR+XcKDB2pzp+Ik+T6w+j4frD/vGkeio2N/XOJjVZIR2nWXa+yspLQ0NBGa2yIIqTobidT3w9HoYQeDuttVrKsGFZOdmIi+fn5FnObo6Mjvr6+KJVKjEaj5elcr9dbAjlLSkooLi4GTOa5zp074+bmRk1NDe+99x6dO3fmscceq/fUaDAYqKysrGf69fT0pLy8nLw+fQg4dQqpXk/giRM4ZWdz5e67uTxpEl2/+QZXiut9BoUMUPiiC5gGo1fgKlpXCM3r08fkljl3jrDdu5HqdOgVChKvRaibO5WaP0tNTY212Ki0faMeOgQiui1kyZIlREVFWaKuZTIZTk5OFj+/g4MD7u7uSKVSjEbjtcZIlZSXl5OVlYVKpSKodxa+Z8KQSa5HissFNd0U/yOjJJvU/KGcu/oFPRy8cbYxaalUKosPsyVs2LCBzMxMxo0bd1Nvjm4uWYQHHyE1cyiXr46gk7iTRufB2oLCHONhR02NoKAg5s+fz8MPP8y+ffv45ptvSE9P58iRI8TFxXHo0CHGjx9Pnz59fnMzq150QCc6IqfS6vs2Y4/pVyqVWtwo5rooKpWKrKwssrOz8fX1JSQkxBKM63pNwNgrOkJCQqiqqrK0OP/000+ZMmVKq9fAGDx4MHv27OHChQsWv7xMJmPWrFl89NFH7Nq1i2HDhrWoEjGYxEZhYaEpu+Xa70YiGInMvZfzTOW8Zhq9FN+hqiXcwRulspDAwIYDjSUCTA6HaF/4OM0biSaM2wf2Renkin/JeQIrKti4cSOzZ89u0bhbilarRRAEK7FhjmG40TT9ltKjRw8+MrpTXFbBoOxtVFXX8L9UuFgK0/t1xKHnnehv/6TpitNbrL8PF2k22YZeVBm9rcRGZCCUVkJ63kXOnTtnVwPJPwy/tdgoLi4mPT3ddtDNtSeoYmN7MnT9cJbk01P5syWVUhShSvSm3BBEfviX6C5dorq6GmdnZ4KCgvDy8mrUXG/GYDBQVVVFcXExBQUFxMbGEhISwooVK5g0aRLDhg0zTdLOtgMazRXjzAQEBFBcXEzue+9RsmoVTvn5yGpqkOj1OOXkUNSlC7n9+uE4Zme9WhvmrLWGSi8bZTIEQO3hQfqIEegdHdG4uyPH1J64dqqfOVjQnglIFKE0/ylmTvPnu5/O4efnx1133YWDg0OT24uiSFVVFTk5OeTl5ZGcnEyG72G8sl/BQ3oVV0k2ckGNIJgCRxVCFYmacVzSTKCf41f19me2crWkC2dZWRl79pgqx7ZaT4EGBBrOIiGRIlXVEyko7oJr+zwCU2Lt22cLCnepVCp69uzJ448/TllZGYmJiRw7doyTJ09y8uRJ/Pz8GDduHKNGjbrpT6CVwytI3jGPCqM/IhKUgum78pSm4i1Nxk2SgQRTGezmZOxIJBIkEglDhgyhuLiYjIwM8vLyyMvLw8vLi9DQUIubwl4rh7lGSnFxMRqNhiVLlvD++++Tl5fHlClTWk2gCYLAvHnzePfdd1m+fLnF2nT77bezfft2zp8/z8GDB1tk3SgoKOD06dOUlZWZ0mxr3Tc8pFfprNhKinYYCdpJ9FSuQ2EW8RNErOtt2KbawZOsyMncGe3JhSvprP31ABOiQqBLL9LefQi12OU3Lyxlvq/WvoebrVzV1dU2t7nZ6HQ6bh8ykHVb91AgrSGhFKZGwJyOIJEkkVLkR8ZBOcWB8/DxcbexB2+bVkHptUaWxloFuIvK4dPN0HHQI1ScOcPFixfrBcz+oWlOqdAGaNaZqKgwZZC4uDQcoaQTHZAIIhVGf2LU9yMiIENDleiN6GvKbxfKy/Hz8yMyMhK9Xs/Jkyftjt6VSqW4urri6uqKp6cnBw4cYMWKFSxevJguXbo0uJ1MJrN0tqydpqlQKOjYsSNpaWkUOzuTXydlye3KFXxjYkxPaLWzGEaLOHz3MFzYapVVUPumGnDyJILBQFH37lRdi81wu3IFTy8vq7oPoihaCmNZiv40NGkCRSWRFJV2wM/nCitWfGcJgJ04cWKT508QBJydnYmMjCQ8PJz8/HwyMzPJ8lxE1rViUFJ0oMnju63JPDClP3ocMCJDFKlnDTCLjXI7MnjqsmXLFnQ6Hf37979pKY8WKgUEoH2YI2UVIVxJH4nLwEO4HK+TV99KFUHLy8tJS0tDpVJx2223MXnyZMrKyti1axfbtm0jLy+Pr776im+++YY+ffowcuRIBgwYYHfgdXPQarVU+MzDIf8bPKWpaIyuVIq+ZOt7ka3vhQwN3omJZGVlNauPhtntIpFI8Pb2xsvLi7KyMjIyMigqKqK4uJjAwEAiIiJMv1s7BIf5/ZCrVy2ZYq+99horV65k5cqVzJs3r8XWhrr4+fnRq1cvDh06ZBEVUqmUMWPGcOnSJX7++Wduv/32Zgucs2fPIooiDg4O6PX6eg+FvrJLaI0qruhHEq+ZQi+H70yxbFZWjjqsKoB5PlQqfYmLmIZe6khI0RkG60/yUKdq3j+ZSGZuPufLlTy1dGGzz8WNBjRqNJp6lg2z2LhVlo2UlBTirmRRU15CRBg80sVkGTLjUXmVArdOtgvZbWnYuiSgRyUUgigiiibXyYZjMHcMdAhYw8ATPVCr1Vy6dKnV0qhvOb+1ZaNRsXFNAfpKL6GWu1NuCEItuiFBj1JShiLyRRwdHXF1dcXNzQ0HBwfOnDnDV199xb333tuii93JyYlff/2VcePGXfePmSfpa/9evDIeifIDXFxcCA4OpqysjNjYWLp162Z56nJycqJbt26Ufv45WhcX9I6OpsJe1dUoysqQmnsR1JmIzGbChqouKktLCd+zh7C9e3GorkYul9e7UZp7eOTl5Vm62sbFxeHomIS30x14uGbU229phWliDg8+hFKp5NVXX+X111+nU6dOREZG2n3+5HI5QUFBBAYGUl5eTnl5OyoqKtBefBO9TE9FlRY51QTKMgiSnbXpdjCfw+ZaNvR6Pdu2bQPgnnvuada2DdKIQDOjkNfQtcOvxFycSUJCAn2MSuRjmyhk1kwMBgOJiYnI5XI6d+5sebpxc3Nj2rRpTJkyhTNnzrBjxw5Onz5teZmFycCBA/Hz86O0tJSqqiqrQGlHR0c8PT1xd3e3yxIIJqEtCAI6UYWv9BJuiixEESpFXwr1HSk0dCQ3N5e4I9/i6voE+fn5eHt7NxkgWV5ebhW/JQgC7u7uuLu7U1FRQXJyMllZWRQVFREZGYmnp6fdFo6goCBycnLIyMggICCABQsW8PPPP/PWW2/xf//3f60WODpx4kTeeustK1ExYsQIvvvuOzIyMoiNjaVXr17N2ufZs2cpKytjxowZrF69mqdtuO6DFWepwZNsfS/yDN0JkMWZ3rAIDm/qWjdEIDFoDHqpks4Zm/EtM8U/KOTweh9YmZpGjbadjaZitqmpqWHz5s2cOnXKUg/DxcUFPz8/OnbsyJAhQxp9sKyNTqf73YiNtLQ01q9fT3JyMtHeMv4+ygEPGz9xvdQBtcK9/huNCA0TAtWiN5cydHx0EMJ84e2HQHXtkuzWrRvZ2dnExsb+ecRGK9AssWF+em2s14REMBIuP2qthGyo9f3797Nt2zaWLVtmX+8KG6xbt45evXrRLiyByvzOeLpbB3JW13iSV9gVg+EbZA6jiYiIoGPHjmRmZnLu3Dm6du1qVYjJ3WAw3QhtTJzlgmDxP5sxi426bpS66zWE0WgkNjYWtVqNq6srkZGRxMXFUV1djU69D61fb5tio6LKH6liMirvdwHTZPLUU0/x0UcfsXz5cruOXRtBEHBzc7s+cXT9AVEU8f5BQj/H841ua96mudkop0+fprS0lJCQEKtc9hZjh9Aw4+qSTbuOz3HlyhUuBZ6keyunqeXn51NdXW3lRqiNRCIhOjqa6OhoysrKOHToEHv37iUxMZFffvmF77//Hg8PD/r06cOQIUPw8vJCq9ViMBgoKyuz1LpxcXHBx8cHf3//Rs21rq6udOvWjQu5v3BeM42uDhvwlF7FRcjHRZFPuHiYirJt7BW8kMlkXLx4EQcHB1P3YH//BkVHfn5+gzVFXFxc6NWrF1lZWZYGVSUlJURERNglOKRSKWFhYaSmplJeXo63tzf33nsvBw4c4PXXX+eVV15poPR38/D09CQsLIyYmBh69+4NmH5PY8eO5dtvv2Xnzp3NEhsGg4GTJ08CsGDBAtauXcsJ7+MMKBxYb91w+WHy9V24qhuEn9TUjRmoIziuU/nPcjSfv0xAcZxFaJiRCPBkuwoqDEF88sknfPLJJw1eE6Iosn37drZu3cqYMWNYunQpDg4OiKJIZWUleXl5nD9/nqVLl6JSqbjjjjsatbqJomgzZuO3dKPU1NRw/Phx9u3bh0wmY8qUKYwaNYryA1/hmrCz3voiUOgaiYARV9daJeqbFBqQXVDN17uO4a1Q89RECK79NU0QuafqJ5YsWUJsbCz333//jX+43wO/K8tGMygsLGTjxo28/fbbN/SEIpFIuOuuu0hJ/gSNrr6vubCkA4IAXTpsJCs3h7S0h+jbty+RkZEcP36c8vJyu6s+2hIQTVk2mkKtVlNVVYVKpSIqKorLly9TU1ND+/btKShwpbi0HKNRgkRSK13YWUQrnsDBQWI1CQQGBuLu7n5jfsJavmNT1cKmN2mpG2XnTtMNYMyYMTc+0TdDaADgLBLkZKrgWVBQQEZGxo3VLamF2SUmkUjscg25ubkxceJERowYwcGDBzl06BAXLlxArVZz7tw5YmJi6Ny5M6NGjWLo0KGAKXbK3A+lvLyczMxMvL29CQ0NbXBC8PT0pMfoRcTvWky8Ziod5HsJlMcAJteYqzSHJZ9lo9FoyM7OJjs7m+TkZDIzMwkPD8fHx6fe91RQUNDo70cikRASEoKnpyeJ/8/eeYdHUa7v/zPbk03vPZACBELoXRRUEARRFMGC/SjWY0VsoCIoAuqxVyzHLioiiggoioAQOiQE0kjvPbtJts7vj80OKZtkNwnF8/ve17VXYHd2dmZ35n2f93nu575PnKCgoIDa2lpbVrEL4midIBBstUq+RXZccMEF+Pr68vzzz7Ns2bJeyXDMnj2b999/Xwo2wNaZ8sUXX/D3339TV1fn9IIoIyODoqIiYmJiCAkJ4Z577mHx4sWEPpxL1NHWkvlKoQkfeS4Vln6YUaOixaTsoKRitVoxyd1t3igOICByRZSZjR5xUkDW9rizs7N59913GThwIKtWrWr1/dkDWE9PT+Li4pg9ezZFRUX89ttvfPPNNwwZMoRJkyYRGxvb6lqwWq1SZqPl9ddVZsNoNJKXl0dOTo50bdTX11NXVydlXUNDQ4mIiJBcxu0kevvfwsJCDh06hFqtpn///tx5552EhYVhMpnY/fajeDSVORRBa1T7UeHdD6WpgcZGDebfh6IW9KgEBXLBMQevqh4+2wZ6YzmTx00hMTKSIPUGmNFaCXvGjBksWrSIEydOuCD9f47jnAo2Omqxc5DV+Oqrr7jmmmt6PFBcPX0upRUJwAzkDtj1BqPtRvPzzsXd7y+OHj1KUVERfn5+eHt7O1yxORoEO8pUdJTZcBYKhQKNRoMgCJjNZkpKSvD19SUyMpLGxkbqaxSYzO6oVc0Xs8epGrkjSetWLqDdQZvfyplgw93dHaVSSVNTE01NTU79ppWVlezbtw+FQtGj9kKX0YI0LAgC/fr1Q6/Xk5OTg6enp9Pp585g7/gJCQlxuszR0NDA4cOH8fT05O677yY0NJTU1FR+//13du7cyfHjxzl+/DgffPABEydO5JJLLiExMRGLxUJZWRkVFRUUFhZSUlJCeHg4UVFRDnkNPj4+DNV8QYrhStKNF2MQPYhW7mzl/KpWq+nbty+RkZHk5+dTWFhIWloa+fn5xMXFtSqbdJbZaAmtVsvQoUPJzs6msLCQw4cPM2TIkA5l0LvKDCYlJTF9+nReffVVHn300R4Hq5GRkSiVSrKzs6U224CAAIYPH87+/fvZtm2b0wTmAwcOUF1dzVVXXWU7Fy8vHnnkEVavXs2SJRX47z61DBZFAZ0lCA+hBCUOVv9tAg7tY8Ew8D7q3Tr2kNEaKhnhW4xlynSefPJJJk2aRHR0NIWFhaSkpKDT6bjrrrvo06ePU+cTFhYmeTYdOHCAdevWUVBQwKhRo0hISJCyd2azWWqBtcPNzY2GhgZ27dpFYGAgdXV1VFRUUFFRQW1tLUqlksjISPr27cuQIUPw9vaW+HhGo5GioiIKCws5fvw4v/32myQRoNFopL8hISE8+uij7UjWJU+PRx44ipCqIw7PSxAtktjXsT9WouRyTNh4fF6yIoIVKQTJT6BodiPflQZfb4frJsHofiZKRrxAeno6B9T3E1VU1CoDqNVqiYyMpKamhoKCgl5v3T4rONME0S7LKG0DCwfBh8lkIj09nXvuuceVj3YMDxFxXyIynRFZjhlKgYGnXjaa3EE+E6XPCtTNImG1tbXo9XqMRmO7VVNLOFMKsU+s3Q02VCoVnp6ekny1KIpSalipVIJ8JibV06hbOlEmC8grrsVqdYfksTC6o+Nsy2bvhpdK338Dr536vz2gnNF60vb29pYGEGeCjd9++w1RFBkzZszpE6lqCQedSWAL9gYOHMjBgwdJS0tjxIgRXfiAdA273oizKX6r1Sox1xMSEqRMQVJSktTNsmvXLjZv3kxqaipbtmxhy5YtREdHM3XqVCZPnkxoaChlZWXk5uaSl5dHWVkZcXFx+Pv72z6kxW/mIStnuOZTMgwXk2cei04MYqBqA/KZrbu0FAoFffv2JTw8nLy8PKkGHRUV1WyqJae8vNxpV1GZTEZcXBwajYasrCyOHDlCUlJSu5KKsyXIiy66iOzsbH755ZdekYa+4oor2LBhA/fff7/03NSpU9m/fz9//vmn08HGwYMH8fHxYdKkSdJzkZGR3HnnnSxbtozHHy+1BWg/C+Sax9OED2HyQx23Ybf47RRWAz76POrdQmhQeuPuwJDNR28ru0ZHR7Ny5UoOHDhAamoqYWFh3HLLLYSGhnYrOFMoFIwePZrRo0fT1NTEvn37SElJYePGjZSUlLBz5040Gk27zIZcLkej0aBWq4mNjWXs2LH4+/u30ztqCztx3xXCsh1Wq5X8oNEIopXA6mMOt3Ez1jIh7U10miAaovwwW9UY8KJJ9Kba0oc6YxjZTKaf6ld27z/OvowWvIwZIqHYSma5ublkZGSQl5eHt7c37u7u+Pn5MWbMGPbu3UtOTs7/RrDRCzi9ZRQHWY2cnBzi4uJ6rUZuEVVYRRUyWXOqrMXEYhIOIZfrpFWev78/ZWVlWCwWgoKCeqxWaZ9Yu1tGAdtAVFpaSm5uLu7u7lIgZ18Vt23VBVva2yw264UkC+0DjgWCxF7n3fLmJ+3Bh3NBhyiKtki9bYDh4Df18fGhoqKCmpqaLp077X410AOhKlfQQaBhh1arJT4+nuPHj3Ps2DGGDBnSI+VI+7XgbOq0tLQUnU5HRESEw5KERqPhwgsv5MILL6SgoIDNmzfz+++/k5uby/vvv8/HH3/MuHHjuOSSSxgxYgSFhYXk5uaSkpJCQEAAcXFxqFv+ZjNEVD8LDFD/zAmjSLmlP8cMsxhktSKTVdH2+lCpVMTFxRESEkJmZiZ5eXlUVFSQkJDgdGajJSIiIhBF0dYpcOQIQ4YMkV5zNtCww87h6A0kJiby3nvvtSpDDh8+HIVCQWZmJjqdrkv7ebPZTGZmJsHBwe2IgQkJCdx999288847XHzxxQT1z6Dw4Lu4C5XEKLs4h+b7z4pAUHUqx6JmURwwjNjiP9pt6tFYhtLSSGVlJTExMUyYMIEJEyZIr2ubx129q67RLaDRaDjvvPMk7ZPa2lqeeOIJiRQtfZZWi1qtJiQk5LTc69oWc0jL8zEYDJjk7oRVHULRiUuY3GrCu6EQb0VrHyiTqKHMPJAc41he2RSGrMnAM9ecRHl56+8sJCQEtVpNXl6epDUkk8nQarX069eP48ePk5OT0zsne7ZxJssodotrOyO+u8jMzOxiNdRmUnRgndwSVtEWSMgwt5t0TSZTq0Hfzc2Nuro6PDw8nE4jdga7JkFP2Nbu7u6EhoaSmZmJ1WqVBjT7cTsKZGRYpPNuB7vz44LA1n9bBR1dBxwGg+HUKr8L7xp7CtOZjpTjx49TXFxMQEBAqxp5j2APKOzcjS4CjLYIDg6mrq6OoqIisrOznV6tO4L993K2PdPus+CQ35HcOiCPAG69VeTGG29kz549bN68mYMHD7J9+3a2b99OaGgoM2fOZOLEiRQUFFBRYXOqHDhwYLsMklywkKDagBD7ImVlZWRmHiI+PhJBcByUenh4kJSURG5urtSlUVJS0i2SZmRkJFarlZycHDIyMhjUzYnP29u7lV18T2BXeT18+DAjRowATokG2pVgx40b1+k+CgoKMJvNhIaG4u7ujiiKZGZmotfrJQ2cyZMn8+mnn6LX6zn//POZpHgEVCZoc7kYRTfqraG2hyWEhm/vwJD4ICIyBARkVscLHAER/7pMqnd8RMOgQa10U7S9tMBrC4PBIEmVtww23N3dJZ5Fb6Kr87CPxxqj69o/YOPShCsPsP9QGpj6M+WmDzng5oY2JaWZyybS2NgoWc03NTXh5uYm2UTYA/CmpiYyMjK6dQznHM5ksGFPD9svoO6iqampgwGqbdq/osWE2eLzWgYeyQIiYwAQhPYkoLbyy8HBwXh6eqJQKHpkh26HfQDvKds6JiaG4OBgjEZju1V1Ownp0SKyTXMQRblN92KMCNwBvNf6e+ohWgUbXcAVYa8jR2w11DFjxvQog+AQLgYZLREbG0t9fT0FBQV4e3u3yjKIosjq1au57LLLunQktWemampqulwJNzU1UVVVhY+PT/vvOrmD3zJZQDFalFasZWVlbLkmmK3RN1P86/u8/+v7fKWEmUs/Z9SoUZSUlEjSyWFhYbZ7tzlbJcwU6Wcpw2Coobi4Eo1GTVRUx5kpmUxG37598fDw4NixY5SUlGA0GrtFSI6KipJq+F0RTc8UJkyYwNatW6VgA2DIkCGkpKRw+PDhLoONk822BnZBLbuqqkKhkO4NuVzO7bffjtVqJSMjg+/yHqdgfwGxsbGMtz5IfEwQuZbJmER3GkRbGUzAiptQg29YLuqUOtwNVURU7u/wOAJqTlDiO5iKigqCOrgGeyPDYUfLYKNtGUUQhF7tRuko0Gh5PgaDAZJmos7/ybmd/gi0iVkrx1bw2+alPP/q85SXl1NaWkptba1UMlepVPj7++Pt7Y1Wq5WM2exzo5ubG+Xl5VI14B+PMxls2C+Y3pik23swOFDLW9DB4NMm0yEXbGUGi9h+YlQqla0udLVa3eOafEvY6472HvXuBmF2obKW6Cwdb7aqkcuMtjpvsgCjb+9GoNF5hsNZsifY0olRUVFO+aOkpKQAnHP95/bukYMHD7b7HQVBYP78+bzxxhv07duXuXPndshb8vX1RSaTUVFR0Wk3iiiKZGRkIIpiKxfiLtEye7dAIAi4Ph6uFT8meRh8exJO1MCXj1/P93KY/PAbxFQmk3k4CLF4W+tJakYFcrmMQYP6cuhQOidPFuHuriYgwKfTQ7DbzXt6eko6FK5mO+0E3b1795KVleWyMd3pQEJCAm+//XarUsqQIUP4/PPPpeu2M5SXl+PfQrDPYrHg5uZGQkICbm5ukneI/TxHjhwJ2K6F9PR0du/25T9rXmL+nED6euYQKjuCp6wYD1mZrUPiR+fOw7uxCJKieOi++7rcVisIPQ44jEajFGy0DDzVajVyubyVB9TphlYQyGu2TjApnJyrHCTH3nnnHW6++Wa0Wi1arZY+ffq0IuV3tVDatWsXcrmcgoICrFZr7y+s/oFw+huwp8J6Gmz0ygW3QMC2mgeVzBZMGON3tdtMpVJhNpsl47PehkajQSaTYbFYer2X3JH8rx0mqzsqWfPEvgZY8H7nO3v39jZPVLT52x6uZDbsdcuu/FHMZjNpaWkAvaOt0YswGo1kZWXh7u7uMMgKDQ1l2bJlxMTEsHjxYj766COH2iIKhQJfX19qa2spLi7u8PPsRmZ2nxGnYc94tAkuZQKMDYZVY+CF0TAiAAwWOPbWvbz10ed8++t2tsuHUOnZgqzWHNArlQoSE2NRKOSkp+djNJro7NoAm0/S8OHDMRqNHDt2rEMTt86gVqvx9PS0CY71gPfUW7BLpZ9sYbxoL7cWFRV1eY5ZWVlUVlYSGRkJIKXb6+rqkMvlqFQqh+OfIAj079+fGTNmcNEV97Pp5/UkqH8iQrkfb3nRqVZMJytGirdv4sd1Wb2yMHQGHWU2VHvPR6Y/jqHqCJafe9/NuSMMio3lmy++QK/uhg7LDJGTA7MRRbFdmdcuz99V4JCfn8+BAwfo378/FoulR47Y5wxUnTychNPBRm9lNuw1r1PonoEXC96H0bejkuuk46urq2sVWLi7u6NWq9s5yfYW1Gq15HbYXdfTjmAymXBzc5NuXrE5PVhbW4vR5yaUMr0t0HAGXQUjDtDU1OR0sOGszXxmZiYGg4Hw8PBeaTPtLVitVo4dO4bRaCQuLq7D8ocgCFx44YW88sorxMTE8Oyzz/L+++9TWVnZarv4+Hg8PT3JyspqN0mZzWZycnJIT09HoVB0kx9yR4evCAIk+sEzI+HV8TZXUJloISv1IG+u+537D/mwq0yOtc286eamJjY2ApPJTGZmQZcTa3Z2NsOHDycsLAyDwSCZI7oCk8mETqfr2gjrDGLAgAGcOHFKMMvNzQ0fHx9MJlO737ktysvLsVqtUkkoNDQUmUxGQUEBycnJZGRkUFxc3G6caomkpCQ81U2cKOje8WvfA63wPvW1tWdMudNgMGC1WtsbsSlBJpgxmSwYRE8b0bWjRy+iUa/H08sL4+DOy5jt0MxN27p1K5dcckm3PttqtfLmm29y9913S9dBd00qN23aRP/+/YmLi2PFihXtXjcYDMybN4+4uDjGjBkjkVGTk5MZOnQoQ4cOZciQIaxbt056T58+fRg8eDBDhw6VMmtOQdnJw0mc8TKKt7d3twYmh0h+H3eFBnxmkp+fT35+vrRKCA4ORqlUYjAYaGpqOi1Rvr21y2q1otPpXGbmdwZ7e65KpZIsi+vr66WyTYiyHG7D+YCjQzgup7iS2XA22EhNTQWQXGrPFZw8eZLa2lpCQkIIDQ3tcnuZTMYFF1zA+eefz65du3j++eeJjIzkwgsvZPDgwajVauLj4zl69KgkjKXVajGZTNTV1SGKoqSn0uF3PFp0zNsY3ZylsmerOgkkY7zg34lwXRz8mGNiXXkNuUVmnjG60Uep44o+cFGL3zk42Jfa2nrKymooLa0iJKRjHkVWVhaTJ0/G09OTwsJCysrKTrXadoFNmzZJBoxms5l+/fqdU8HGt99+28pnKDQ0lJqaGonY3BHKysrIycmR7gO1Ws3w4cMpLS2lpKRE8j+yw83NTUrTazQaqquraWho4LJ7fuSHP/9kUcRjrh38LOA92z+1np5OBRu9xdkQRRFKf0K54yfIAmaItmADM8bmYEPb2cKylRmdYzhLcPVp5gQ++GoVu7aDvuPY3IZApPKkyWTiyJEj3HrrrU59Vlts2LCBgQMHEhMTQ2BgINnZ2VRUVLjcwmuxWLjnnnvYsmULERERjBo1ilmzZjFw4ClthzVr1uDr60tmZiZfffUVixYt4uuvvyYxMVHSMSouLmbIkCFcdtllUolr27ZtrmVToVc4G72S2bBarRQXF3Ps2DFSUlLIzs6mqKiI+vr6diuk0NDQFunlDi6+jvgaDqCUNREUFCSR+lQqFSdPnkSv10t15NMll2uvSfZ2GcWefnVzc0MQBDIyMjCbzfj4+ODh4UFYWBhBo3tzwm7/OzQ1NaFUKqmoqCA/P5+0tDRSUlJIT09Hp2utmOcsQbSsrAyg19Q6ewPl5eUUFBTg4eHhcpZBEAQmTJjA6tWrmTp1Ktu3b+ff//43n332GfX19YwaNYrw8HBMJhMVFRXU19fj4+NDfHw8iYmJXWd3OtRQcQ0BGrh1APz3PCPTJ4zA3TeY4gZ4+xjcMiiCr75aR329DkEQ6Ns3DLlcRmZmYaddBKWlpQQHBzv0xOgMoiiyZcsWEhISKCoqQqPRdNkufSYRFRVFXl5eq+fsejydlcWMRiO1tbVERkby9ddfS2UhrVZLTEwM48aNY+TIkZIQlr+/P6IoUlFRQW5uLidOnKC2thZBEBg+fDhFRUU0XeRaF4e2hQ+j1WpF4eRv0hNYrVYsFgvWaptEu8q+fP1ZaA42LJjNJoxWJ92EO8l0OBsYhTWbaVY0jzeu4ODBgwwbNqxbwW9JSQl//PEH11xzDYAUfHeVEXOE5ORk4uLiiImJQaVScc0117B+/fpW26xfv56bbroJgDlz5kj6Re7u7lJg0dTUdNa5UHb0Smbj6NGjGAwGaXCytwUBkgGa3dgpJCSEkpISOi2fvHu786n/0beTQIJEQKqsrCQlJYXKykppkKitrT0trqL2zIbJZOrVMkpDQwMmk4mAgABEUaS8vFyyLLdDEP4DvOp8dqOV5kbnaGxs5Pjx4xQWFpKamtpKsVSpVFJSUsLgwYOlydLZzIZdFO6MCHk5gYaGBk6cOCGJe3V3dS0IAgMHDmTgwIEYjUZ2797Ne++9R1NTE5MmTWLixIkSD8Slz2ib2RjdlnuDS/eKr9DA1eF6xiZeTs3+n9lx6AQZtfD5ojv47rvLuOSSyVxxxaX06xdJaupJUlL2MnTouHaBhF1zorq6mhMnTiAIgtPdJCkpKURGRqLX6zGbzfTt2/ecIs/JZDI8PT2pra2VrlP7uXU2adhT5eHh4UycOJG1a9dy3XXXSa8LgiBlMVrCbDaj1+slWQF3d3dUKhWjR49m3759nNdWmXkWThFFqyoqCGku4zhSG+4tmEwmzEU/YLXYOGaKFpe3WmFzSDWaRJpw0eKiMwfcLtA/IQGL2UxOM/dG+14n2Y3baBXU7927lwsuuMDlzxRFkTfffJM77rhDKn3bSeRtF2fOoLCwUOL+gE2fZs+ePR1uY3c1r6ysJCAggD179nDrrbeSm5vLp59+KgUfgiBIFhELFizgjju6Svs041zIbNjNewwGA2PGjGHixInNA284wcEe6PVVpKUdZv/+/ZLhWF1daecf5szgeZv9H7a8oT16s9fbm5qaUKlUaLVaamtru0Vg6wotORvduaA6gn3StteKrVYrWq0WQRCkB+B48uk2bINlfn4+e/fuJS0tjfDwcGJiYhg8eDBjx45l4sSJBAUFSb+5HS2dXzv7nnvLW6c3YLFYSE1NxWq1St0CvQGVSsX555/PM888w6OPPkpjYyOLFy9m9erVHDhwoNtqswAkd3BftCMAd4y+Jdtxt+gJHDmdpRf48/xoGB4ATU0G1q/fxL/+9SCfffYVarVAQ4OBlJSUVsdstVo5cOAAKpWKo0ePYjabiY+PdzqAXL9+PbNmzaK0tBSFQnFOZTXsiIuLIzs7W/q/fUzpbEFRXm4L5AMDA7n88ss5ePAg+fntTRTbwj5JBAUF4e/vL12HEyZMYPv27baNZoinHh1hFuhbdHqWFBcjVygI6MXSbjv8LGD8tQ8AYnOwoWqxfFUrQS6YMZktGEUX+RPN+3cVXt7eKJRK0k+cwNgVV28WrQINi8VCxl/3klDvetZ4y5YtREZGkpCQID1nv27ORvvrmDFjSE1NZe/evbzwwgtSSW3Hjh0cOHCAX375hTfffPPUNdYVzgWCqCAIREVFSSS72tpa3NwaCAz0YcCAaEaPHkRERCBNTbUcO7af6uqTCIIMs9mMKIqYTGZ0ugaKiyvQ610Uf3Ew2bZV3rRP2L1N4ATbQCGXyxFFsVf33zLYsJ9Hh4qUo29vEXh1jeLiSiora2lqMkorHlvZxkBm5iGKi4ulLptLLrmEyMhIfHx8EASBvLw8iouLcXNzazVJKBQKPD09EUWx0xvLGdfgMwFRFDlx4oTkzNob7qGO4Ofnx+zZs3nppZe4+uqrOXz4MA8++CD/+c9/SE5OdqgO2228e7tTQYfCamRAwUZEQc7xqJkk+sGzI+HVV5dz/vnjsFqt/PbbXyxfvooffviBlJQUDh06RHp6OqmpqezevZu//voLX19f/P39GTlypFM8F7CVIRobGwkODkYURQIDA88ZrkZLBAUFtSL1abVagoODO83A2EuIvr6+yOVyFixYwDvvvNPtRU50dDQ6na59wBJI+66U5v+3LKOUNJd8Ql1pq3YFzYGAQbRlaqwWW9lI2SbYELBgMpm7F2y0+Bz7365KKf0GDCAgMJCTmZld77tlMi5ZYM9HCgb2Bfk4136zyspKfvrpJ2688cZWz9uDje4sRMPDw1v99gUFBYQ3l4ccbWM2m6mtrW3Hm0pISMDDw0Nq3bbvIygoiNmzZ0sOxV3ibBBEHa0AQ0ND0ev1lJWVceTIERQKBYGBbnh4uOHn501sbATu7hoyMvI5ejSLxkYTv/yyk9DQYCnAUKmUBAR4Ex8f2W7/DjH6diQ2VAsYjUZEUZQmZ19fXwoLCykvL+9SZMlVWCwWqW/eVdJrR/3tZrOZ6upqPDw8WgUYjjtq3qOzzoS2MBpNZGTko1QqMBpNyGQCMpmsufXQtnr18PAjMTGRzz77DKVSSVZWluTGCLZsjr2O2BJeXl7U19dTW1vbYTBxrgQbdnlhu7346YYgCMTExBATEyNpKuzcuZPPPvuMyMhIJkyYwPDhw9u33HZEEu0hfPT5hFQfpdg3iTr3MLwbioiJ6cPChfcyf/4cfvjhF7Zu/ZPMzExSUtKJjIxk7Nix9OvXD3d3d4qKinjyySdd0wfBRp6bOXMmWVlZNDY29kip9XQiMDCwlfKjXC6ntLS00zKhPdiwX9txcXFER0fz+++/c9FFF7l8DIIgcP311/P555/z2GMOiKL2ckoH7bClzWTU4E4CwZaZEJfRnGVp+GEsAFaLbXxSyk+9rv5BQACs5ib01m54M9nhIODoiCwaP2AAJpOJnBaZKaD999WCFEqyQFUtfLUFnnuvxqVDE0WRt99+m1tvvbXd/duTYGPUqFFkZGRw8uRJwsPD+eqrr/jiiy9an9KsWXzyySeMGzeOb7/9lgsvvBBBEDh58iSRkZEoFApyc3M5fvw4ffr0Qa/XY7Va8fT0RK/Xs3nzZpYsWeLysXUXLgcbbWuOYFvZDhgwQPL5qK4uorq6nuLiSgShAH9/H6Kjgxk2rD9VVXWEhASj19ej1Uaj1WpQq5WcPFmMXq92jhzayUq+oaFB0qcHW7ChVCopLS1lcGysw5VGdxnZFotFkiG28VCcg/1GcXTDJCQmcvG0afy1bRs79+1DqVTi5ubWueTv6NthNJ2Xn94tp7FWhyiKaDQqAgK8MZstUobD398bHx8PfH09KS5Op6ysTIqGPTw8CAgIwM/Pr8MVnr2jobPVuv213rAF7y4KCwvJycnB3d2dAQMGtCNP2QWKTpdGgYdMhl4U6d+/P6IocvLkSXbu3Mk333xDcHAw48ePZ9SoUR1/fvL7vVI+C6myBRvl3gPwbiiSOD2hoSHcddctXHvtlWzY8Cs//7yFsrIC1q1bx9ixY/nXv/6FWq12OdDQ6/WkpKQwfvx4KisrCQoKOqfan1siICCAv//+W/q//XrvTK/HUSA9f/58Fi1axKhRo7oVYA8aNIj169ezY8cOyYcEsE2U5bQKNFpmNcD2fdfX1RERGelAbqAFWpYqHJVp2pYy2nBI6q02gzrRHmy0mFHs/xYtjTRavTCKbqiEXpAu76C84uvnR0BgICeOHXP8W7UMzFoEGlYrvPwl3P7UEZf5ZH/99RdeXl4MHTq03Ws9CTYUCgVvvPEGl1xyCRaLhVtvvZVBgwaxZMkSRo4cyaxZs7jtttu44YYbiIuLw8/Pj6+++gqwlUpWrFiBUqlEJpPx1ltvERAQQHZ2NrNnzwZsi9rrrruOadOmOXdAZ1JBVNKb72SisDOvIQajsZjq6npKSqqoqKihoqIGf38voqJCGD48AU9PDxIS+kjvranRIZc7WdVZg21ydQCdTicxcsE2UCx57DH6xsYSFhFBoRN1VGdhNpulSdaVYMMemTuK0KOio6mtrubEsWPSNiqVivr6+p7pESwIxLoiC41GTVCQL+HhrYM6i8VCUVEl+/efoKDAtuqPjIzE398fT0/PLkl8dgJSZ5wE+7H3iLfQA5SUlJCZmYlGoyEpKclhB0Vubi5vvPEGt9xyi8MBpDfQUlrZnvG44YYbyM/PZ+fOnSxevBhvb28mTJjAaBl4to3vOws4nGiJBdAabGUCo8Jxl4CPjzfz5s1m2LDh/PLL72za9Bu//fYbW7duZfjw4S4rQm7evJmEhAQqKyvx8/Ojf//+5wxLvi0CAwMlDgacum47I1o6Ij+7u7tzzTXX8PHHH/Pvf/+7W8fy4IMPsnjxYgDHAUcz9D+1DzgyTpxg+KhRRPXpQ24LobIO4YiU2Zag2mair7eGoBErEa1WBAFaDuGCYCOMKkQDFosVnTUEP7kTx+EEHJ1vXP/+gO28O4J2ZuvFZZ0O/rPjWUZcNtjllvza2lrWrl3rUAMDehZsAFx66aXtHI2XLl0q/Vuj0bB27dp277vhhhu44YYb2j0fExPD4cOHu3UsZ5Qgah8YnK1BqlRKgoP9GDIkjmHD+uHv70VlZR0HD6bT0GCiurp1m6TRaKapyVVWevsSQmVlJTKZTFpJaAWBjBMn8A8IYECLHuXegD2zIZPJXAo24NQFrxdF6VHV1MQDjz5KVVWVlMnQCgIP3nMPP//4Y+etpU6Qas1mK01NhlaDvK3bpYa9e4+TnV2IKKpQKpWMGzeOmJgYvL29neoWcGZAdiYgOV2oqKggPT0dlUpFUlJSh/oW8fHxPP300/z444+8/PLLUrtuT6EVhE51AqxWK15eXowbN457772XK6+8kurqap77ZSFL3oUte6DRWY0mJ64FwWpCZjUh0uKYFgRKmUWdrpEDB9KprKxn3LixLFmyhH79+mE2m9mzZw/33XdflwRIi8VCfX092dnZfP3118TGxuLl5cXAgQPPqQ6UtvDw8GjFPbJPFp0ttDoqEY4fP57q6mpJY8Yl3Cvg5ubGM888Q2pqKk8//TS/1W+lrAra3kJtJ16A1GYfosQWXWx2dFhCcUFwyyBqMYieuAs2fohcZgswWgYschkoBAMWq0i9NaTT03UVbc8hIjISi8VCXidOqy3fk5qaylM/3Mf06dOlFb+Ee7sOhN977z3mz5/vMNsPSFoyvV2+PyvoBYKo05kN+2TivPS3vUZXgZeXlsTEWOrrG8jOLiQ9vYnc3DzGjBlNWFggMlkgHh7+VFZWYlBoUZu7R7Y0mUx89fnn5OXkMO3886XnK8rKqK6qIrZfP/7YupW6XprsLBYLCoUChUKBXq93yoa6M5SXl9s8M44fb/V8TlYWzzz/vLQq7C5qauzdIHb9kSYyMwuorq5HLpfRt28Y4eED+P777112xXXm+ggKCsJkMp0xZUM7qqurSUtLQy6XM3jw4C47T/z8/Fi8eDEHDhxg5cqVDBgwoFM/lO5CKwjUmkwUFhZSWFiIQqGQgkyZTMaUKVOYM2cO5eUL+fODIB57E+Kj4JIxECe+jxS7jHYum9ESMkCUKbDK2y9ZqqvrSU3NxmoViYuLIDQ0AJlM4Lzz3pVY7AcPHuTGG29k/vz5zJ49G7VajdlsRqfTUV9fj06no6GhAVEUSUlJISYmhoEDBxIWFnZOBxpA644vbOQ8oFUrYlu05Wy03Nedd97JypUrWb16tfPZHPtkd6+AB7DgDVHqFHsn5VnqTjyNyQw02ib422fBm21aYsuqq9n4888EBAWhaFZSFoDeyieVm22mhN7ywg63UchBYTKAxUCZeQBRir85HQktQRAIDg2lvLS04zGomadRV1fH+vXrSUtLY8mSJQRkBwItFtEtvnsA3mi/wN6zZw+iKDJmzJgOj0mr1Up8wf+DC8GGfVXqus/IKWKQp2cFSUlx1NfXkJmZxcmTxZSUVBEdbRNAqayspMK7H+GVB7vebfPAqn3P9lcvipSVlXHpZZex6IEH2m2eceIEo8eNI6eXVqpg+y4EQZACjJKSkh6R3ioqKpDJZCQfOYJ3ixR/WWkpa7/8kutvuomYmJhulVKsCFSeeBc1oDz6GZn6MdT4PoNe30RgoC+xsWGo1SpATnp6OhMmTHBp/86USJqamqitrT1t8vGOUFdXR2pqKm5ubvTr18/pYFAQBEaMGMHw4cP5888/Wbx4MePHj2fmzJkdrmQcobNsRmBwMHv37sVoNKJWqwkMDMTHx0eyps7Pz0ej0RAYGMici+CqC+FoJqz7E0qr4KKRcMFw0HbUEtsFVCYderU/IqcmIJ0mkNT/vgojLiMxMQY/v1OTp1wuZ+bMmZx33nm89NJL/PHHH6xZs4YjR45w2WWXtSpLKZVKSYTuhx9+4NFHH3W6a+VcgJ3nIAiClMHpTKunMw2Z4OBg4uPjSU5O7nRy6hT3CkQCkW+IXHnllcASW5l1D1I55f02wYYIWM1moiIjKSsuJiM9HStwz+Ww6CMYEAEJkbaHt/OXtG3fokCheTgKDATJ0lq/2KIco5A3297LjqETR1FjjcZXnuv6+TfDaoWSasivgKJK+PBRuHElaN3dSTt+nIK8PByNQN81fUtdah23jxF4ZNEiJk2axHXXXWcbtwJEpzIZduj1ej777DOWLVvW6Xb2rLedB9Ydd+RzBmeSs2FfjfQsBR6AIEBwcBxhYelERQWTl1fNsWPHUKvVGI1GCq94B48vZ9tIaw7QkUCLp1zOjf/6Fyq1mhPHjrV7/fuffpIkv3ur1dE+adoHmJ4EG1arlfr6ejw9PW2ZkjZ8jiOHDuHh6cmDd9/N7oMtg7GuO1KsCGSET6HB5ItKriO5fAGizzQ8BBlJSXH4+tp1L2wiYiUlJS5PDM5kNuwZhU7Jrr0InU7H0aNHEUVRSuG7CkEQmDRpEueddx6bN2/mySefJDY2lksvvZTY2NhO39sRLwcgJi6OKdOnI5fLiYmJISwsTPoO7a3UxcXF7N69Gzc3N5TKAzaTuKD7uGZ2HYIpl72HS3nybZE+oXBJIQzwwaVVo5/uJMW+Seg1AXg0VWBUaEkPn4pgNZOw7l/4nbe3zTts0vY+Pj4899xz/PHHH7zyyiscO3aMuro67rvvPqKjo6VOKkEQyMzMJCgo6B8VaACSMrBCoXAqs9FVp9WVV17JSy+9xOjRo3vGVWk7KbYgOraFAOSfPMmUadMYN348J9PTAXjldtA1wolCOJ4PG5LBZIaR8XDeIAhzYnistMTQJHoTodh7yijOAewcjkDhMDpGUWge7nKwUVQJ+zNtj2odhIyz2QOEDwtHq9UiWzkGP19fAgMCyD95sl3mZutffyGKIn379qW8qooIPz8bz8LZAONeoVV2Y82aNcyZM6dLMqkgCLi7u6PT6WhsbDwn9IW6jTMZbHQ/s9EeTU1NaLVaoqMTCQkxUFBQQHFxMYIgUJr7F5bIy0jMXYdnk+MshPY9UCiVmFs4RSYNG4anlxfJf//tsCOiT1AQP27d2qsCK/Z216CgIPR6vcu8jZZoaGiQ2pIc4eihQ4wYPZqRY8bg5+ZGVfOELYoiVqtAR7kOEcgJPo+Tox/EarUi12rx8vIiIsKDgIC4dgPfyZMn6du3r8sDojOcDXtWobq62qV9dwcNDQ0cOXIEi8XCoEGDetz5oFAouPTSS5k+fTpHjx7lm2++obq6mmnTpnHeeec51EFpGWi0/HdsfDzTZ83CYDBw3ezZZBa2TkPb3Ufd3d2pqalBp9NJKpOGhiHNW00kaICRe4cdpr50D7+ITbz3G0wKg4vDQevE4BBQm0GxbxIZYRfTv3AzJyKmUe8WSnzhZvx0OV2qzk6aNIk+ffqwfPlySkpKeOmll1i0aFErpdsff/yRWbOctCs9hxAdHY3ZbJak5pVKZacCZHadnY6yXkFBQQQHB5OSknJ6vIFGt8xPnYLZbKaooIA+MTGnxswZIh7ACGBEMydD1wh7M2DNZjCa4PpJMKATFYJC8wgERMIVB6ETgVK7oqhKrMFPdpIqSwyNVh/cZDUdvsdigcMnYV8mpOZCoLctELrn1bJ2SrVaQUAGmAwGQkNDCQ8PJ7s5qLKjFbGWnvnBHDhwAIDzW5TpO4Obm9v/BRvNcLp46jpno2M0NDRI3SJqtZrY2FjGjh1L37590chrqfKM4WjfORiUrX8c7XsQGBTEjMsv56Z//YtZV12FWqMhLCKCCRdcgK6+nkP79zv8zBqjETc3N4d+Ld1FS4lisPlFdBddqWsaDQaSd+3Cw9OTS2bMwFMup7CwkCNHjrBnzwDyA0ZilrW/IvIDx5AZdhEWiwU/Pz+SkpIYNmwYgYHxDgOKI0eOdGswdKaMYs/6HG/DSeltNDU1ceTIEcxmMwMGDHDaIMwZCIJAUlISjz/+OIsWLaKkpISHH36Yjz76qJ3RFpwa2OyBRmR0NJfMnImhqYm/tm1j8tSp3HTdda0UK+2fExYWxsCBAxk9ejTnnXceo0aNYuy0ZST5rSVy8F2oZA0U6Edh8rmey2dewOL/aJBNhceS4essaOwiCemnO0mf0j/Ra4LYG38rdW5hhFceIKz6SIutAjhVCm2vldCnTx9efvllhg8fTl1dHU8//bSkSlhVVUVRUVEr86h/Cu677z40Go2U1QgPD++Ua2IfUzrb5qqrruK7777rlePTvun8thXl5QiCgL8j861mZVKPOSKTk2DxNXDndPhoK6zfDY6GSp01gBprFP7yTDSyOofb2Iml9mDDYoFw5QFEbOUXRyirgc+2wQNb7mVfJozuB6tvg6c+FZm2ROxUEr+yogK9Xk9CYmKvqQFLaM5q6HQ6Pv74Y2644QanF2N2IvqZLB2fqziNBNGO0djY2FpHIFlAMdqW6lYq/0Xaxo+pcw8nNepyosp3I7NaaFJ5M3tef7y9vfH08sJgMODr58ctCxZgNBgQrVZ+Xr8eQxvyYcsVpaenJ6WlpVKNvKeweyVERUWRnp7eo8yGnfHeGafg0P79BIeG0m/AAK656SZWvvACV159NXL5KIr80sgLGkdI1VE8G0tQmfVUevalIGA0TUpvgvz9GTZsWJfnfeTIEef18lvAvrLr7Ea3TzppaWkdbtNTGAwGjhw5gsFgoF+/fr3qxNsW/v7+XHfddcydO5fk5GTee+899Ho9EyZMYOLEiVKQY78Gg0JCmHHFFVitVn796ScuvOQStB4ekmiUrW28Y8jlcuRyOeqJOfgCffu+R/n2BHJ1EyjQj6JYGErSHA+m3lvKlss/4NE9cGEYXBoF6g5SX1Hle1FaDBT5DSOicj/B1W26JhYI8K6Io0DDDk9PT55++mk+/PBD1q9fz6pVqzAYDJSWljJjxoxztsXVGZxsbhntylvJHmx0dq7R0dH4+vqSk5PjMgG7LToTtmoLuyFZQGAgpZ2Yydl5FuE/Cyy/ET7cAivWwv2zwL1FI06+yaY7EK5ovbBzdDj2MorZCr6yk7gLVZSYBxOl/BuV0IjFYstgbNoPhujHmTpzKnPHj0elet2pc7N/D6Iosmv7dqZMn87Y885j25Ytnb/RBY6GvYzy7rvvMm/ePJeypGq1WjLW/EfDha6TjuB0sGEPDrpy9nQGDQ0NHU5K4eHh5CVeiPXAdzSo/UiNugKAX/IgPEIkKyODn9evp7y0lCnTpxMQFESDXs/ev/+mrKTEZvYWFkZkdDTvf/IJ5eXl1DcHSHYCW0t9jJ7AHmzExsaydetWaRXUHdgzAvZ0fENDA2m5udx5662UlZaSn5uLrr6erb/8QlVlJaPGjqWqooKb580js7CQ0p/uIT9oDAUBI1vt172pAotcQcivj6Aeu6PTYzAYDFRWVnbLr8Ke5els9dGvXz9kMhnZ2dk0NTX1uriX3R66sbGR2NjYM8YTUCgUjB8/nvHjx1NXV8euXbt4+eWXAZg4caJEtk0aOhSFXM6vP/3E2IkTcXNz4/ixY0T36dOtFKsgCARdcJyAPTLKGgeS63YLOTkqysu9uWBACFMiStiYB4/shksi4JJIULZZeAtAWNURwqqOOPwMZyGTybjtttvw9fXl22+/5YMPPsBkMvHNN9/0aL9nG3/++ScAw4YN63S7sLAwjEZjl4HVxIkT2bhxI3fffXePj83ZckBV8zjl52yGb4aIArhDLrA9BRZ/Bk/OAz9PaLD6UW5JwFtWgLesk/FuxhT4eYukKGq22IKRKOVujhsvJadpFDlp2/n9CMROfY9bV0zrlBPjDI6nppI0dCiDkpI4mZXVXkW0Jd5wjRS6c+dORFF0mThvJ4meLW2hXsOZ5GzYbcFzc7vPJLbDZDK1DjbsssyjReT3K3DrOx+T4EZi7jpqtNEIiPy0rpbysjJ0LTgXW375BYVSidViQaFUMmLMGIaNGIGbuzvTZ86koKAAd3d3jh8/jlKppKmpqVcZwfZgY8CAAWg0GioqKqipqZFcUF2BKIrIZDL27duH1WrFbDYjCAKLFi/ml59szeG5J0+yb88e9v79N4cPHJCMhrwUCvTi7YQs+IB69zAaVd4YlZ64GaoxyjVkuV2Eu6GyHdGpLZKTkxk1apTLK1G7VTbQaclCo9EQExNDZmYmx44dY/hwx+nU7sBsNnPkyBEaGhro06fPaXH5bYWWA1WL79TLy4tp06Yxbdo0Kisr+euvv1i6dCmPLFnCibQ06urqOG/yZDw8PUlLTaXfgAE0NDQwafRoKppVel2ByWQix+8EdRnLUHmbcHNroqbGi4Ox1xNdtovZ8r+ZFgkbcuFht0HcVJDKCOcMWl2GIAhcddVVCILASy+9BNgUWf+pLHy7/YJKpepykikuLpZMEzvDsGHD+OSTT1qVktuhq0nQwT3cWZbDs5nI2KDXu8ZXmCFyPgJ+HvDsF7BoDtR6jENEIFq50ykyspTZaE6IB152lP1r5rN4fT2XXv0xTz14Va/qUGzdtIk5113H9Fmz+P7rr8l2UNp0FboV9Xz1+OO88MILLr/X7p31f8GGC5wNu4dEXl5ejz9UqVS2J3GOPhVpmuVuyK1mPJoqiKjcT3jlAU5mZbUKNOxQqVSMnTCBy+fMYfzEiYiiyL49e0hKSmLEiBEEBQVJHR5arZaEhIRekaI2Go1SjT44OFjiI7T0VHAF/fr1k4ypNBoN/v7+JCQkMHLkSB54+GFOZmUR3bcvl8+Zw+x58whvM5lqhfeRIeLdUEhIzTGiyvcQWJeOytKIKMixCs0DficD2Z9//tkte+W6ujpMJhMeHh5dZitGjRoFwE8/9cSYoTUsFgtHjx5Fp9MRGRkpBcanDW2/w3sFh9+rv78/V1xxBatWrWLBggUkDR3KgcOHOZqayk/r19PU0IBCoeCvbdtobGx0Oi1uR21tLfv376eiogKDzwLq68dTU+NJbGwhboYq8qbOo2L5Q7ituZ25W2/n2bpUNhfAy0eg3hUPuAWuHdfs2bOZOHEiPj4+/PDDDy6991zC77//DtiEubpqd3ZWHdfe3bRt27beOUg6DzQAYmJjMRmN5Jw86fI1xgyRxD5w/+Xw3DdqDhYG4y0rwEfWXtDN0a493cHf09ayyowppKRMYF3yQa64fiETJ07sdcGrqspKflq3DgGYdPHFRHaSaXUWa9eu5YorrujWsfYm/eCfDqeDjfDwcBQKBSUlJT0WZVKpVO2DjebBWgRMcneUYusaV9t219DwcC6aNo2bb7+dEWPGoFKp2LZlCx+/9x5///UXEX5+eHh4EB0dzdChQxk5ciSjRo3C39+/V2rIR48exWg0EhcXh6enJ/Hx8QBkOuM26AB2f5lRo0YxfPhwBg0aREBAAFqtlpCQEH5at47PP/6YlMOHCQsPZ+bs2Vx/yy0kDhmCphOehNJi+62MihYBloOJsb6+npqamm6lMu1ZjQBHBLQ2mDFjBiqVir1790r18J7AbhVfV1dHWFhYtzppeg32oMPB9xsWFsZdd93Fzxs3kn38OOkZGRSVl5N67BhZLQLUrpRG7aiurubIkSOYTCaio6MZN24cw4YNQxCGkZ8fyKC7NSiVFtLTI7BYbLe578e38/gwGBMELx+Fvc5KzrzrGqFaEARuvPFGZDIZ69atk9pC/0kQRZGtW7cCOGWkZi/LOjM2Xnzxxfz222+9RlTvDH1jY0kcMoSamhoqy8u70YkxFWZMIea2KVw7+zzWbz7C0X1d8CHsmDGFRgNU1oN4wTg2bargiy9KWLEilLi44xQVfY3ROMPlc2oJR/dKUUEBG3/8kYCAAK6cO7fbcuEAZQ2QkpLC5MmTu/V+URTx8fHpfdLqmUYvuL46HWwoFArCw8MRRbHH2Q21Wt36pmwxODeq/LDIlLgbqtqdiP4OCAoO5tqbbmLOtdfSJyaG6qoqfv3pJ75onojPVAS5v7nrZeRIG0eip5kNZ1BVUcFf27bx6QcfcPTQITy9vBgybBi33XUX4ydOxKqSt7sA3A229tx6TRup4DYT4q5du1yuR9qR0ywP7Iw5l7e3N5dffjkRERF8/fXX3fo8O6xWK2lpaVRXV0vZpXOGjOgg6PD19SUgIICqigqUwLhx46iurMQEmGjdQWgPOhwNpjU1NaSkpEidMWFhYQiCgKenZ3NWZwI1NV4EBdVgMilobGzB7nr3diaEwAODYUshvJ7SRdeKi4GGHQMHDmTEiBE0NTXx7bffdmsfZxOpqamUlpYSEBDQqpW3I9hXvQ1OlMLsv9PRo0d7fJydwcvbmymXXorRYOCXH3/s+g2dQKfToho0kYVPX4ilfwiLP4PyZvqeKEJkIIQ44E2KMdEQHMCGDeWkpupYOjYHf38FUVEnEUUoLIwEpnbrmDoLynOys3nksce4at48Dh48SGFhYbeCu8/S4frrr++26m1xcTE1NTVn3em6x+gFuXKXvkF7KSWnE+15ZxAeHn6KTNlmQC70HQqAT0OubQRugbzA0Vx9/fX4BwSQcvgwP373HV/+97+kHz9+RlYJLbFv3z4ARowYAdg8NcLDw9m3bx8nOjEC6g7a3lR1dXX8sXUrH77zDgf27aO6qooRY8Zw4KYXaFT62DZqDjpUgh6toYIqj77oVG3Uelp899u2bWPixIndOr6srCwApwXNZs6cSVlZGTt37uz2d2WxWEhLS6OyspLAwED69et3ZgINV1jsHWyvF0X8AwLw8/UlwN8fJSAHLICx+W/Lq7ll0FFXVye58SYmJrYTFgoLC8NisZCTMwu93jYSGI3tORPeKnh8KAzytbXKpla5dlrOwG4GtXHjxn8cG//nn38G4MILL3RqoomIiCAwMNBpHZ/LLruMDRs2uH5gDvgajrIVCqWSSy+/HLVazZZNm6itqQE6D2I7gihCdnY/mpo0xMdncfPNYVy7eBzL9kTyi2wYogj55bYHYCOHNsNqFamoMFJWZuShh6JRXWF7LTCwFK22noKCPjQ0uNFRwNHWIduV4w8KCpIMFzMzM0lJSaGysvIUr6bNd2lFoEnpRY17BCVeCWyXDyNLGStx6fbu3UtycjK7d+/m77//Zu/evaSkpEh6S21hNpspb247Pp1dcWcEZzKzAdC/2VWv285xzYiKirIRTZsHYosgp8Y9gpSIKyj1SSSg7gQB9ZmnTkQJpUsXcnLKfOpqa1n7xRds27KF8i50LVy9qZzFsWPHKC4uxtPTk379+gEQGhrKxGbOyMKFC3nhhRdIbyMu4yq6On6jwUBaSgpff/op+/fs4duvy0iJnI1FaH0F9CnbjpuxhiN9rqXQdziNSi/bZNZ8sx07doyAgACnyiCOUF1djb+/f5etm3b4+flx2WWXAfDiiy+6nGZvbGzk0KFDVFRU4O/vz4ABA85tvw0HAce23bu59LLLOHb0KAK2G9F+71ppn+kA6BMczNNPPcX6774jMTHRIRFZqVTSr18/FAoFublD8fevw8enjddQszOsIMCF4fDUMPgiE77MBKt9/H1X7HZWw47Y2FgGDRqEwWBgx47OO6HOJRw6dIgdO3agUqm45JJLnHqPxWKxdb45GWzExsai0+lc1+bpoEzXEnK5nBmXX05gUBAH9u4lu4Nsa8uJu+VY03rc2UxJSRjV1X4EBZXh7W27VwcN8uD55+OprTWzcFskhWYPRLGZm9H8PrAFG3V1Fm65JazVYkAmE+nbNxurVSA9fRBWa/tgwlGg4SzsAZiPjw8jRoywZRSrqsjOzmbnzp22gOHVu9kVfze7+t3Dzn73sWPAg+yJu4PD0deQE3QBX+d7M+aWJdTX12M2myX5eoVCgVKpRKfTUVBQgMlkcngMZWVliKJIQEDAP5Yk3Ztw6RsYOXIk77//PgcOHHDa7ryxsZHa2lr0er30g8nlcgwGA9v8puPt649OE4Qo2CYLP91J4ku2IhNt5RDte1D2oB/p6eF8/81x1n3zjUOi6JmCwWDgnXfeAWD69OmtJrl58+ah0+nYtGkTu3btYteuXQwaNIhRo0aRmJhIXFyc074mrtxYFouFXX/9hdliYfrz15DeVEpC0Ubp9QBdNhaZmqyQC8kMuRC4EJVZj3blXGSXLuGdd95h9uzZHD9+HJlMhkajQavV4ufn12W2QBRFDh48iF6vp2/fvk4f8/XXX09KSgonTpxg1apVPPvss04FDFVVVaSlpWE2m4mMjDzzHA0XW+YktOgEspOLPTw8OJGbi0eL8xY4FXBYmh9ywM/XlyuuvhqFQsHG9et56z//6bD+HhgYiCiKxMfHo1ZfiEz2QPuN3r1d8hcKdIPnRtmEwBbvhQe3lHeiquEaLr74YlJTU9myZQtTpkzp+g1nGUajkbfeeguAa6+91ukVqT1N7krgPHPmTH7++WduvfVW1w+0A5MwQRCYOmMGUX36cCItjZ3NrbvOou24U1VVRUZGAiqVkdjY1osnrVbONdeEMGdOENOnHwRNAOZLhrTKrIuiQEyMGxpN+3HP17eK0NAiiovDOHFiECMHdnxfuaIr0hZKpZJBgwah0+morq6mqqrKRuQ16xBEEQGrLX1jaqKouJjMwjIyi6rJq2zkpS9+kfg4er2e2tpaampqqK2txc3NDYVC0eGY7qxGyz8CZ7L1FWwp2rCwMHQ6HSdOnOhSGbC+vp7Dhw9LbZx2aLVaBrrV8GueyGUhvvg05OPVWISvLgfvxtbSzfp7IOOu+7AWydjyyy9nLdAQRZETJ07w5ptvUlRUxJgxY5g3b16rbRQKBQsWLODqq6/mxx9/5JNPPiElJUWyl9ZoNAwcOJD+/fsTERFBWFgY4eHh7chD3b2pknftwtv7MsomTKPvmD5oHnlLei24Lg0/XTYVXv2ocwujzi2cGm0URd+/hl5vQqlUtlpliaJIUFBQl79xdXU1er0eDw8Pl8RulEoljz32GA888ACHDh3iww8/5LbbbuswcDCbzeTn55Ofn4/FYkGj0ZCZmUlqaioWi0V6mM1mLBaLJP0eEhJCSEgIoaGhZ5+k1RxwlJSUYLVaJa6Fo4FU1vywAmYgbuBAlCoVv/70k6Qf0PI9bQMPpybJFgGHTIBrf7M5tC5dupTrr7+++6ZhLXDeeefx7rvvkpaWRmFhoaS2e65i7dq1FBcXExUVxRVXXOH0++zBhit2CGPHjuWrr76SPJG6heZrSi+KeMhkTJk+HV8/P7IzM9n6yy/d22czdDodx44dQyabwODBL6NWO1bBVChk+PoqaWy0YDaLtFTut1rtyqqOPyMu7jgGg5qysmBSsrNJbM6O2u8JZwit9sBcBpzIyelwcvfw8MDDw4OIiAjKb5ORr4N8HRTooUAHDWYY4Auj/GF8JGy/erUkZ9DY2NiKj+Pu7k5AQADh4eEOrQoAqURsrwj8o3Gmgw2wtYF9++237N69u8uJyO50J5PJ6N+/P56entJkMvijb3j4sJUR2k1oOjkKKzLKynxwczOSmnUxHrLuOVx2B2azmYKCAlJSUti8ebMUqYaGhnLzzTd3eJH5+fkRGRmJm5sbfn5+jB49mqNHj1JUVMSBAwckff2W24eFheHn54ePjw8fff01NzYHMvbppO3fjhAWVkltrZapF+xj+6jWrymtBkJrjhJac4qYtuogPBitIOHbL+GleiwWC/n5+U4TquyOmJGRkS5nGAICAnj00UdZsmQJ69evx83Njeuvv77VNjU1NRw+fJj9+/eTm5tLaWmppFbqKry8vAgNDSU4OJjQ0FBCQ0OJjY0lMjKyW0663cK9AhV95iMfu6CVAFpHKzcZEB0ejlKp5IcffqDg5EnXap9Ap2Z9zSUV2zY2Hsjy5ct59dVXOXz4cKfXuTPQaDScd955bN26la1bt3LTTTd1e1+nGydOnJDIrPfcc49Lqe/uZDbkcjnz58/nlVdeYfHixd3L0DVnNqxWKxdPm0b/gQPJy83llx9/7FLzozN4eHqSkpKC1WolMfFtPDw67+hQKJplC8ytxwz7ECKTOT43mUwkIeEohw8vIy8vj4zCQolo3jbQ6OgesQLvffQR3t7efPPNNxQVFWG1WiXn3lPHqEAURSwWC4HHINIDIrRwcQREeICbSk6NexSVnrF8mmYh1N1d4qNptVrCwsLw8fHB29vbqXvCbsswYMCALrc953EmFUTtGDlypBRs3HLLLZ3eIF5eXnh7e1NWVsbJkyfx9fUl6tVBKK0GEGwyyl9nwk2d/BY6TRBms5zQ0CqXHC2dhcFgoKqqipqaGqqqqqiqqiIvL4+srCxycnJaqQJ6eXkxdepU5s2b16meRH19PR9++CFyuZxbbrlFapuqqqoiJSWFkydPUlRUREFBAUVFRdLntoSjKqCjwKPtc1VVt1Fb+z1hkZHwxp5OU/6FOqhqgsG+ZgSrmWqdjry8PGpra1GpVE51l9g7k+zkYVeRlJTEwoULefHFF/nqq69Qq9VMnTqVzZs388cff3D06FHMZrNU3vHz82Po0KHEx8cTExPTKpVp/yuXy5HJZNTW1lJcXExpaSnFxcWUlJRQUFDQjpSqVquJj48nPj6efv36kZSUdNrY4waFlnq3EAJ2rEb+1Xrbk80TRkeDqdbDg6FDhlBeUoIZW1lFRuvAs6Xhm2O81/y3ayl6T09PnnzySX766SeeeOIJHnzwwR5lJKZMmcLWrVv5/fffmT9//pkL7FxARUUFy5cvx2w2M3PmTJf9XOxO0mVlzvYT2zBmzBiOHTvGd999x5w5c1x6rx1ms5ljx47x4KJFvP/WW/y8bp3DQEOhVGJpLmV3Bq1Wy6yrrpIk//38Kh1s1Zq3p1DUAR7U1rpRWxuKyZSNKGqorzdjsTR0OnYrFL+QmGjg4MGDZGZmolQqO1QibnmP2CUUPvjvfyVNos5g10BRKBRw72vS8ya5G3n+Yyj2TcIis82qhRW/c/no0URHR+Pt7S2pTzsLs9ksBSp2Xt8/Gmcjs5GQkICvry/FxcWkpaV1elPK5XIGDBhAYGAgeXl5FBQUUB5zE4PzvkNrrGRaNDz2N+TXQ2QHWUQDcoRde2i4zJ/i4oZ2pLm2t43o4N8vvvgiTU1NNDU1YTAYpH/r9foOW9VEUaSwsBBBEJg7dy7jx49n3LhxTl10X3/9NXV1dQwePJhJkyZJz/v5+XH++ee3cgy0Wq2Ul5dTVFQk1QJra2v5tVn0SmxxHm3/tsWlM2eycOFCamtrkclkXHvttfimgK8afFTgq7H921cN4Vr49ATc2B8Q4GTgRPKOHEEQBCIiIoiIiHAqercHGz2RGp4wYQIPPfQQb7/9Nm+99RbPPPMMXl5eCIJAfHw8I0aMYPDgwfTv35+QkBCXVoBDhgxp9X9RFNHpdJSUlFBYWEhmZiYnTpzgxIkTpKSkSMFKTEwMY8eOZezYsa0n2u7wNVqgysNmS+9Xn+Vwn22DBa0gUFZcjFyhYOSYMXh5enI0NZWGhgYUtM909VbQIQgCl112GYMGDWLlypXceuut7b5LZ5GQkEBISAglJSVkZGSccys9nU7Hc889R3V1NUlJSdx2220u76MnCss33HADy5YtQ6PRMHPTZU6/z4qMsicHk3f5GhobGwkKCuK/X37pkPukFQSmTJ9ObHw8b//nP60kAlpeKw0NDRw9epSmpib69OnjQPK/fXOAKILZ7ElNjZb9++Px9Z2NIBQgioOpqSmkpkbLyZMe+PoW4OXVMhgbgp1IqlarSUxM5MiRI6SlpWEymTpc7OhFkePHj/PxmjW89/rr3HbjjRzPynK4bUvYgozWd0yB30hyA8dhlqlxN1YRWHscf10m35WUMfzDkQhvdo8kffLkSYxGI+Hh4f9st9dehMvBhkwm4+KLL2bt2rVs2rSpyxWAIAgEBATg5+dHYWEhJ1M8OdTnOgYW/IBvQz63D4QXD8BVcbago8oAlU1QaZBRalJTJRpo8s3C4/fdaDQmXBE+tOOJxx7j0pkzHb6mUCjw8/PD19cXX19f/Pz8CAkJITg4mNdeew29Xk9kZKTTlsI6nY5ff/0VgH/9619dTowymYzg4OB2fiR333xzu20dBR0t/z1y5Eiqq6tJT0+ntraWqqoqavUK8nXthRSUApyoAU+1QE3sFIwBSXh4eLissGp3K+2psdSkSZMwm808//zz1NbWcumll/LAAw84lV1xBXY9CrsQmz0YNJvN5Obmcvz4cQ4cOMDBgwdtA9rHHxMZGcm4ceO4+OKL6anbSqVHLAIi/roOfBvaSMrbJ4Lzx44lNj6eCRdcwIQLLmBvcjJ7kpOxNDU5LKt0Xe/upLTSAjExMSxdupTly5dTX1/fzq7bGQiCwPDhw9m4cSOHDh06p4KN6upqVq5cSXZ2NqGhoTz22GPd6hyIiopCEASpO6HTRUmbCU8BPGmBN1bAZ25wfb/WapwWQY5B4YlB6YlB6YVeHYBeE4ROE4RJ7obcaKRPnz7SMTiCXhS58dprJU6To2ujvr5eyiTGxcW1CLI301FramOjF5mZ42hoOIDV2oSfXxYDBy5Eo/kduB1v71qqqxVUVvbl4MHh+PkVEBu7C3f3OuyBhh0eHh4MHTqUo0ePkpGRgdFoJDo62uE5KZVKps+cyZJnn+WZZ57p1jhRrY0mK3gSalM9sSXbCK5NRUCk0WxbnAkCXVo8dAR79vRcutZ7hLOR2QCYOnUqa9euZefOndxxxx1OybjKZDIiX4zC3SOWtPCZpEZeSezRd/g6w8DfpbCzGKI9wYSMJpU3TUofRIWAHBEvLy8CAmwpcxlrWu237WXY0f8XL16MRqNBrVbj5uaGRqPBzc0NDw+PDm9Qd3d3lixZwldffUV0dLRTA+2mTZtoampi6NChTreCOovOeBstB4/y8nIOHTqETCajfGc01ppitEV7MdeWUmOAaoONGGW0wvYaf7b/VsTND/6LCUOGuDTQms1miccSGxvbgzOz4eKLL6auro6PPvqIEydOUNiifnu6oVAoiI2NJTY2lhkzZtDU1MSBAwfYvXs3e/fu5ZtvvuGbb75h6NCnmD59OqNHj0bxgGt3oEWQU62NxrOxGJWlE/EnBwPc9t278VYqiYyOZsjw4YwaPZrEwYNZu3YtlWVlyOluluMOTmU7HMPb25tnn31WCgRnzHBd9XHo0KFs3LiRw4cPc80117j8/tOBjIwMXnjhBerq6hg4cCALFy7s9ipUrVYTFhZGYWEhBQUFLnVmgc2KfcFITz7M1PJEhhvXTkrCpPbGoPTEJHfD3VBBg/pUj5AgWnE3VBJWfYjwMc87lXF98NFHaWho4KX//Kfda9XV1aSmpiKKIgMGDHBAMG4dcJjNKvLzE8nPH4ooynBz24mPTzF9+tQQECAHPIAa1Oo6vLysJCVtwWgcTUVFH2pq5hARcZioqPYdje7u7lLAkZubi9FoJD4+vt0Ybf+/KIoYDIZumTpmBU1CJlpIyvsGd2O19HxePQT30NHif4ocCmcv2AgJCWHo0KEcOnSIn376qevBo0Uk76/LIq5kCxvFUTy/y4u+Qjl9PSHGC/qHaKnvexGe7ioCNBBjySPEWoHns+uli+mDDz7oVrfG6NGjXX7P0KFDufXWW1mzZg2vvPIKYWFhnQYQJpNJEuqZPXu2y5/XW/D392f06NE0NDRQu6eQ2qhwmmJvILT6CPElm6VJqdCg4bnSfqRWy/jhqblMnVrTTiSqM+Tn52MymQgNDe3SO8JZXHnlleh0OtauXct//vMf3n777bOivqfRaCQnV7PZzIEDB9i0aRP79u3j0KFD+Pn5MbUILomCACebXPSaIKwyBT56JxR4HQQctSYTWkHgZFYW4ZGRXDxtGldcfjl//vEH6RkZKOmaQNwenQcadri5ubFkyRJefvllqquruf76610qZw0ePBhBEDh+/Phpcfx1BWazma+++oq1a9ditVrp378/TzzxhEvXviP06dOHwsJCcnJyOg82mn9Xy30qSn0GUeEZL2UpBsdD2b40Pktt4orR4WiMtXibC3A3VKCoSUFt1uFuqMLdWInJbCGr1qb+6+3tjbe3N/7+/h3eLzKZrB2XQxRFioqKyM7ORhAEEhMTO+kq2wwE09DgxdGj02lq8sTXt5CIiKMEBhaj01loaw1jj3M9PKoJDd1KdXU4mZnjyctbRGXlQQYPHtzOgVutVjNkyBBSU1MpLi7GYDDQv3//VmVd+3l0amjXBZSWRhSNRa0CDYCMWujbw8rH/1yw0QsE0W4rIc2dOxeA7777rkMFNcBhjbs29xif//wntXgQ6iHw/mR47gJPBl0yn+ED45iuOcFlNd8yuD6ZwBezzurANHLkSNzc3NDpdLz22mudkqu2b99OWVkZhYWF5OfnU1tbewaP9BRkMhne3t6EhoYyoGgjQ3K+wLuhgGLfJHICT0mSm8OHcs3UcQy3Hqeu30xJX8BZ2H1gnFUOdRY33HADSUlJkmbJ2YZCoWD06NEsWbKEDz74gLlz52Ld/V++yoRbf4fn9sK+shaCWB1Ap7GVyjybnBRyciDgZM9SFObn8+2XX2KxWLjs8suJ69sXE7YWwLboLWE7pVLJo48+il6v5+2333ZJtdfDw4O4uDjMZrPUCn42kJaWxkMPPcTXX3+NKIpcfvnlPP/88z0ONOBUKbErzx9RFClcPIKjkVeREXIxNe6RqE31hNQcJb5kKw/778c/Zwv1v73F8JzPGFSwnsjSnZhz9nEw5Tgf7S3jkb8sPLkb/iyyuU8fOnSI9evXs2LFCh555BG+/vrrduOyXC7HarVKIlRGo5GUlBSJlDlkyJAu2teDaWz0Ii3tIkwmNTExyQwevAk/vwLsCdG23Sj22MbejeLre4ARI14jMjISq9XKkSNHHF5HSqWSwYMHExgYSFVVFfv37291PnZvrWPHjjFo0KBOv28J7eYigXq3MMyy1jPp3yUwxu7u0I0SSllZGcXFxbi5uXWbOP+/iG7Lmg0ePJixY8eye/duPv30U+6///72GzkINHRGWL4PRHQMHZjII5GlyEULh6OuwqD0pF/xr6daMzv4oe0D7ulQBwWbSNbevXvZuHEjMpmM+++/n3fffVe6qYcNG9buPaIosm7dOhQKBUuXLgVg2bJleHt7c/HFFzNy5MjTpiLXVS+6xqwnMX8dh6KvIS9gHGqTjrCawxgVthLSI4MaebBKza5duyguLnZACmsPo9HI999/D9gIgL0JQRC44447ePjhh/n666+54ooretR+2ZsICgrihhtu4Nprr2XPPCW/5EJyme0R5AaXRMKUSBsZty0alT64GyrxaCxx7UM74HFoBYEf1q7lpttvZ9SYMeSePIkZWyugI/Job8D+26xZs4bPPvtMkiR3BkOHDiUjI4PDhw9LMv9nCllZWXz66aeSp1FwcDAPPPAAiYmJvfYZ9mxGZyRRi8XCiRMnKL/4ZZQHv6Jv6R+E1RxFYW2tYfFgEvx7OxyvhkI9GC0Q5Qn9fGzZtL6eoLRXIK68stV7dTode/bs4bnnnmPChAlcddVVCIKAn58flZWV5OTkoNVqpTJFYGAg8fHxXZRibIFyVVUE9fX+DBjwJyEhp5RJT7W+tn7XqWDj1H5kMoiJgaamyZSXx9LQMB+ttr1tgVwulxoSsrKyOHr0qES4rKqqwsPDgx07djBt2rROjrsZDuaigPoMGpVelHolEF5jI75WNlt2+WvoVqABkJycDMDw4cPPyc6rbuFslVHsuPXWW9m3bx+//fYbF1xwAUOHDm29gQO1xY+O2zgDseHuXDlpOOLJQ6QHnY9eHUB0+a5WGhBdkXPatgr2RGUObJbdv/76K3/99RdDhgxhwYIFEkmqvLycNWvWsG7dOofBRklJCbm5uXh4eDBt2jQUCgUzZ84kNzeX3377jc8//5whQ4Ywffr0brcRuuzY2OK7V1gNDM7/joN9ricz9GI8m0qwNNvOh7hZGV/yHdt8Z/L777+307pwhC+//JKCggIiIiKclnR2BdHR0fj5+Umtqz3pdjkdUCgUTPhOZMK9AoU6+DUPthbAp+nwRQaMC4GZ0TDI/9R7qrXRmBTuqM29I0xnvx7mzJpFXP/++Pn5UVVVJcmd28sqrjt9dg5BELjttttYuXIlv/zyC9OnT3fqfUOGDGHt2rU9tjtwFvby16+//ipNABqNhlmzZnH11Vf3esbUntnIysqSpK3boqioiNzcXGQyGV4X3EGt4m7qfn4aQbQgw4rC3IBVpkQQrSQNKaWoppGbJ4WgUQr46PLwbixELjqWx7bDw8ODiy66iEmTJvHFF1/w3HPP8fDDD0tdgUVFRSiVSiwWC/369XOiw+sUeb28PBaFwtQq0ABaZDZav9MebDjavcWiQKFoQqXqmL8kCAKhoaF4e3tLwnAKhUISxcvIyOC+++7r7OvoEEE1RzkRdgkVXv2kYGNHEUzsIQvcfq11p3R/zuJsBxuhoaHMmzePzz//nNWrV/Paa69J/eYSWgQcRythcz4oBLhufAwyuYwat3AqvPrhpztJdMWu9h/iRMDR9v+umQzZlEF//vlnioqKmDp1KqtWrWo3EF100UX897//5eDBg5SWlrbrHrEPoElJSa0yGNHR0dx6661YLBb27dvHu+++i0wmY8aMGYwYMcIpie5uTxZtgj21WceggvUc7Hs9mcEX4m6w9c+b5Gouimhk256f+P33IK677rpOB5+0tDS+//57BEHg/vvvP21Zh6CgIIqLiykrKzvngg0Jb4iE3ytw60CY399GdP4lD3YU2x6JfjAvDhIDFTRoAvDVnexexqGT++DlN97grddfR+PmhgASWdSE7QZ3VonRFQiCwIMPPsizzz6Ln5+fU2qj9vp1fn5+h5NxT2E2m0lPT2f37t1s27aNmmYDMpVKxYwZM7jqqqt6pWTiCEFBQQQEBFBRUUFmZibx8fHttomMjJRks/V6PVarFXHc/ZBia3V3M1TTqLaVMuJGmdj6w3ZKgkYhk8kp8B2Gh6GCoLo0wqoOIWsnBNAacrmcG264gb///punnnqKxx9/nJEjR1JSUoJGo8HT07MdX6I9Wo9zFosCubx9sKNQAOVGTKbW15m9rNI2aVJbG0RTkw/u7rUolcbmz+m4vOju7s6wYcOorq6mqakJLy8vUlJSGDx4cLd8kcwyFdlBkxFEK56NxYCNX/JXMSwZ1cWbO4Fer6eyspKgoKAznr07rTjbwQbYuBupqakcOnSIVatWsWzZsvapozdERFHk/SG2i2JuPPgGBGEylJMbdB5aQzlxJVtOS9oXHE/WBoOB7du38+uvvxIcHMzMmTMZMGBAhwOgp6cn48aNY/v27fz999/tpIztwUZHWgRyuZwxY8YwZswYCgoK+Pnnn/nss8+YNGkSU6ZMadfR09uTg3QeTSVEVuym0G8ESksjGmM1dZowkvxrCNDY6o2d1UGzs7N59tlnsVqtzJ49+7S2dtkZ8a4KJZ1xNAd1KjlMjrA9cupgbaZt8FqcDBFBXgx1L2W62glyqIuwWCxcNXcun6051aklw3Zzm4EDR470+meCbQJ//PHHefLJJ4mKiuqy/KbRaPD19aW6upry8vJOJdXtSo9Wq1XiGej1eurr66W/Op0OnU5HfX091dXV5OXlYTKZJFVbsPlSXHzxxVx44YUuyel3B4IgMHr0aDZu3MiePXscBhvQvuwoiiLixIlYH9BgRQ6CgCjIEJFxCBPBB7OI8lVTre1Dqc8gsoIvpMIznsT871FYTV0uyMaNG0dAQADLli1j4cKFLgbupbQMOCwWJXK5g1b6XFt2wrSzGkac+l2bqRWoVAJsOXUfl0afR0ODN0OH/un0kchkMvz9balCURT5/vvvefTRR104FxsaVL6kRsymSelJcE0KUZV7AdhbBlEe4NWDtdPff/9NXl4eSUlJpy2o/aeix8GGTCbj4Ycf5t///jcpKSl89NFH/Otf/2q33fHjxzkZPRNvb29mvPUW+/fvR5b6MwgCEaX7cTO55vzpLNpO2tXV1fz0008kJyczYcIEnnzySacHoWHDhrF9+3bS0tJaBRuiKErBRrtSkgNERESwYMECGhoa+P3333nqqaeIi4tj5syZPdaraAf7INQiwxFZmUyp9yCqPGIwKDyo8owhpO4YY4LhZyA9Pd1hsCGKIm+++SZ6vZ5x48addulp++/iqivsWUGbLFIfL1g4HK7TwTeZsKFKxdGft5OqKuK6WBgT7Di13Ck6mFTsvg05ZWV4t1hC2p1khycl8ceOHUyYMKHde3sKDw8P7rnnHl599VWWL1/eZY06LCyMrKwsFi9eLLWKNjY20tTUhNVqlQIMjUbTLVv6sLAwIiMjGTJkCJMmTaJfv35n1Khv7NixUrAxf/58p94jCAKCICB7zdiu7NzXDSpv/pVB55+PJxD2bxWZwRdR6pPI0airGZz3XTu+hyPEx8ezcOFCVq1axb333uuiquWpgMNqlaNWt5Eu31KGpnmCbmojhGQqNIAVlH+W21Ju9nM+XgfeoFR2feyOsH//fiIiIjpUGu0IVmSkRlxBo9qX6PKdRFXsRgAsVvgyA57qXIS0S/zZbHx3wQUX9GxH5xrOhly5I/j4+PDoo4+yePFi1q9fT3BwsGQhbsfPP/8M2DQ6ZDIZbm5u1Pe/hD59+hD+6mrbRt0k5LSFo6xAfn4+69atIycnh8suu4xrr73WZcKmXcDM3o9uH8ROnjxJfX09AQEBTpEr7XB3d2fmzJnMmDGDw4cP89lnn9HQ0MCll17K2LFje5dQ2uK7VQAD6+o4fvw4jdXVKMtt9t+RC3+Cd96hoKDA4S5+//13SkpKCAkJYeHChaed/GQ3TuuuF8oZR8vArvnf4cDtOh3Rrz/Kvl1/cSw1j+X7oY8nzHvrL8aPH38qDdxNddKGhgaUSiUKhaIdeVoAavV6XnjhBWpqarqlkdEV+vXrx7Bhw1i7dm2XbfCDBw8mKyuL1GYVVHuZoy1kMhkymUxSdJXL5Wi1WslMy9PTU/qr1Wrx9vYmMjKSyMjIXmvD7g4SExPx8/PDZDJRVFTkuk5Mm8VBtCdktMjUKKwm+hdvQi6aKPIdRk7geOJKtzm168jISJ566imef/557rzzTheykqcyGyaTBje35i67FpkKt+ZqTJOx+fkpYNlUhsVqC6rlbSod3vJ8qjQJZGSMIzg4C1EUEMUiBEHAYrFIHSru7u54enq2KtXW19fz3//+lyVLljh5/KeQHzCaBrU/kRV7iK7YLT2/JR+GBzYTQ6Fbc1F1dTWHDx9GoVAwfvx4l99/TuNcKKPYkZiYyH333cdrr73Gxo0bCQwMZOzYsYCNeLlz504EQWDatGmoVCo0Gg3h4eGEh4cj9FKQ0RaiKJKamsr333+P2Wxm9uzZ3Hfffd1e6diJSnbPDftAYp+cu7uKEgSBoUOHMnToUMrKyti4cSNff/0106ZNY+rUqS7r8jsDLy8vEhISKC4uRtl/DfTpQ/ihQwAUFha2214URbZu3UpdXR1XXXXVaTmmttBqtchkMpqamk77Z/UaHGQfqqqqCJhwDY8sWIbFYuHbb79l8+bNvPjii0RERDB37lzOP/985G3vg7bBh4P7xGQy0dDQ0C4715K7ZBenW7VqFXK53Dn2vouYM2cOTz31FMOHD+901VxTU0NNTQ1z5sxh+vTpeHh44Obmhpubm+RpYw++ulOLP9tQKpUkJSXxxx9/sGPHDkkiwGU0/9bRpaVsfv/9Vs8L9wrElfxOvSaYGvdIDC810RXzwo6goCCeeuopnnvuOR588EGXMqlWqwyrVW7jbGxpXdq0ZzYaWyQqTM192CpF+yyevyKdCs9hlJT0p6YmAptgWAbu7u4OLSTUajVRUVGEhITw1ltvcc011xAQENBuO4docR+Veg9CaW4guuJv6bkSPWzMhRXjnNtdR9ixYweiKDJixAinhC7/UeiF4b5X7+YLL7yQG2+8kYKCAlatWiW53m3ZsgWz2cyoUaMICgpCpVIxdOhQIiMjT8uAYrFY2LFjB4sWLWLz5s3Mnz+fpUuXMmzYsB6lVAVBkMoLx44dk56320r3Ro0uKCiIm2++mRdffBG9Xs9DDz3Epk2bJBOh3oSnpyf9+vWTBhy7NbOjzMb+/ftJSUnB09PztHSfOIJWq8Vqtbpk233W4SAgqKioQC6X4+3tTWBgIHfddRcffPABs2bNoqysjJdffpm77rpLuk9a7auLQLy6uhpRFNsTs7EFHPZMh1Kp5JFHHuGvv/5iz549PTtHB5DL5dx77718+OGHnepv2MmJEyZMoH///oSHh+Pn54ebmxsqlUpyif4nBhp22CXw//jjD5e0SBwhKCiIkpKS1mJcb4gIb1iJuPEV9CNvpby83KV92t2WX3rpJUpKnG/DNplsmUaVqn15y6052DC04I6ami9llYOJSi4TGVj4FYMHb2LgwAcYNGgQiYmJxMbGkpSUxJAhQ0hKSiI2NpagoCCsVivp6em8+OKLaLXabmcOTHJ3VGYdctF2cI1mWHkQ7ksC9x5MqKIosm2bLcP0P1dC6SX0+h09e/ZsLrnkEoxGI0uXLiU/P59ffvkFgEsvvbS3P64Vmpqa2LBhAw8++CDp6ek8+uijPPTQQ70qG24nV7W8we2TYW8a7ri7uzN37lxWrFhBdXU1Dz30UPvJqJfh7++PWq2mtrYWne5UXbaiooLXX38dgKuvvvqMpantn/OPKaM4QENDA/X19fj4+LQqO/n7+3P77bezZs0arrzySqqrq3nttde47777OHDgQOuddBJ0VFdXo9VqneIdqVQqnnjiCb7++mvS0tJ6dF6OEB4eTkREhNT65wh2sm9ISEiH2/zTMWTIELy9vcnPz+/x9ywIAgkJCa0WN3b4+PgAtLpXnUV4eDgPPPAAL7zwQiuxLLPZTGlpKRkZGRw4cIBdu3axa9d89uyZS/JPs7CUWfFIb296pm6eqBvtnI0tAsbmoUrpqNo6JQimBBEYuJvAwEACAgLw9/eXfKp8fHzw9fUlIiJCcnRNTk6mqKiIYcOGdZvH5a/LpFHlh0HhScNKPStDn+GK1/4k/rMW91c3Mu0pKSlkZGTg6en5v9Xyaoeyk4eT6PVgQxAE7rrrLkaOHEl9fT3//ve/KSoqIjg4mOHDh/f2xwG2AffTTz9l4cKFmEwmXnjhBW699Vbn02wuwN4S2zK1fzqCDTu0Wi3XXnstzz//PGVlZTz88MP89ttvrVwbewuCIEgaIPZSSmNjI88++yxVVVUMHjy4HRfndMIebHTkzPtPQFlZGWq1ukMuj4+PD7fccgtr1qzhqquuoqSkhKeffpply5ZRXFzc6b6tVisVFRUATks2a7VannjiCd5+++3T0uVzzTXX8PXXXzu0OLdardTW1hIUFOQyse+fBIVCIWmPrFu3rsf7mzBhAjt37mz3vL2U2d0FSGxsLLfffjvLli2jvLycgoIC9uzZw/HjxykqKqKxsRGNRoNGcz2KomrcZLX0c9tMkKp9ANWKs9EMY3OWw1Fmw1aGcU5JV6fT8corr+Dt7c1TTz2F1WolJSXF+XHBHqy/IeJ/+ydYk67gh3Hv88ILLzB58uRTJptOZBI7wjfffAPArFmznGgn/gdC1cnDSZyWXKVcLmfRokX4+vrS2NiIIAhMnDix11nhhYWFvP766zz33HOEh4fzyiuvcOWVV57WlbdarcZqtZKcnMyiRYt45513SE9PRxTF01qn8/Dw4Prrr2fZsmUUFhby0EMPsW3bNoeDek9gDzYKCgqwWCysXLmSnJwcwsPDefzxx0+bCqoj2H/H7qzczgVYrVaKiooQRVFahXYELy8vbr75Zt566y1Gjx7Nnj17uPvuu/n000875KzU1dVhNpuldkBnERAQwF133cWrr77a69dPQEAAiYmJEiu/JcrLy9Hr9ZjN5rNqQXAmMGPGDBQKBXv27KGoqKhH+0pMTCQlJcVhSaan5abExESuueYa7r33Xg4ePIhcLic2NpaRI0cyfvx4hg8fzvDhwxkx+zNGzv6IiJn7UQjtvbc742w4zGwAbBFsj05w7NgxnnzySSZOnMiCBQsIDg5mwIABmM1mjh49KsmWOwuFQsGPP/7Ib7/9xvTp03ulQysjI4NDhw6h0WiY2YG7eHewadMm+vfvT1xcHCtWrGj3usFgYN68ecTFxTFmzBhycnIAm3z95MmT8fDw4N577231ni+//JLBgweTlJTEtGnTpMVKlzgXMxt2aDQaZsyYgVKp5JJLLmHevHm9tu/i4mJeeeUV3njjDSZMmMBLL73EhRdeeEYmQo1GQ2FhIXq9nieeeILx48dz8uRJTCZTt1r1XIWnpyc33ngjS5cuJTc3l4cffphDzcTO3kDLYOO9995j3759eHp68vTTT5+WzE1nsE/QlZWVPa59nw3U1NRgMpkICQlxelIIDQ1l8eLFPPPMMwQHB/PNN9+wYMEC/vzzz3bfQVVVlaRd4SoSEhIYOHAg3333ncvv7QpXX301P/74Y7vjtU+6Z8rJ92zCx8eHyZMnI4oi69ev79G+FAoFAwcOZN++fa2eFwShlddJd1BfX4/JZOKKK67g+++/JzAwkIiICLRarUuLQztno6nFoXSa2egCer2eTz75hM8//5zFixe34mgEBgYSGxtLU1MTeXnO6daIosj27dtZsmQJc+bM4d///jcmk4kjR464HLC0xbfffgvYaAK9teC0WCzcc889/PLLLxw7dowvv/yyXSltzZo1+Pr6kpmZyYMPPsiiRYsA2xz13HPPsXr16lbbm81m7r//frZt28aRI0dISkrijTfe6JXjdQanlYU1cqStafngwYO9kloqKyvj9ddf55VXXmHSpEk8//zzDB8+/Iz20dtLDfa6bFJSEtdccw0qlYrSUicNtnoB3t7e3HzzzTz55JP8+uuvrFixwvkotRPYhZb++OMPNm7ciFKp5KmnnnKppbe34OnpiZ+fH01NTS4R2c4VVFfb3CS7U84bMWIEb7zxBrfeeiuNjY2sXr2aRYsWkZ2dDdgGo5KSEiwWS7ddcefNm8fevXvJyMjoemMX4OnpSWRkpEQQtyMry1brtxOR/9dh1+LZunVrj0nOV155Jd9++227AC4sLIyamppucRh0Oh1HjhzBarUyZcoUli1bxpo1a7pVlumqG8VZmM1mvvnmGx5//HFCQ0N57rnnHN4/YWFhuLu7U1JS0uXx1tTUsGLFCg4ePMiKFSsYN24cgwYNIjw8nLq6Ovbu3UthYWG3FjT5+fns2rULpVLJ5Zdf7vL7O0JycjJxcXHExMSgUqm45ppr2gWt69evl7SO5syZw2+//YYoimi1Ws4777x22UNRtIlr6vV6RFGkrq7O+cD/XM5sAMTExEjmP105IXaGyspK3n77bVauXMnYsWN58cUXe9xZ0l0UFxcjk8layZXbyW5nQ+kyICCARYsWMW3aNJYtW8a3337bIxKpn58fjY2NJCcnIwgCDz/8sKQvcjZgN7fqyfVztlBZWYm7u3u3VzsKhYLZs2fz7rvvctFFF5GWlsYDDzzAm2++SXp6OkajsUcdXQqFggcffJB33nmn1zNHM2bMkIItO+zE145Udv/XEBUVxYgRIzAajRJJvrsIDg4mNDS0na9MUFAQHh4epKamurRCt1qtnDhxAovFwsCBAwkICCA8PJzly5d3K0PcGWdD6cLu5HI5gYGBvPTSS5ImkyPYPVMsFkun4+6OHTtYvHgxU6ZM4f7775dKs4IgEBsbK6lGZ2ZmcuDAAZeduu1ZjSlTpjjsCOsuCgsLWym9RkREtJMkaLmNQqHA29ubysrKDvepVCp5++23GTx4MGFhYRw7dozbbrvNuQM614MNQRAYNcomNP/rr7+6/P6amho++OADli9fzpAhQ1i1ahWjRo06K0GGHfYfvOXqzJ4NOJOZjbYYOnQoq1atAuCRRx7pdmllxIgRzJ8/n9tuu40HHnjgtKhOugJ7sGFf0f9ToNfraWxsxMPDo8fXq6+vLw888ACrV68mPj6eX375hfvuu4/09PQeZ5xCQ0MZOHCgQ45FT9C/f/9Wqe/GxkbS0tIkTZn/X2DPbvz444891ou5+uqr+eKLL1oFht7e3oSHh2M0GklPT3d6XxUVFVgsFsLDw1txfrp7rWqaJ51WZRR762tnwcaU1kGuIAhMnjzZKR0fe/nQUflaFEW++OIL/vzzT1asWCFl2cGWFWxoaECv1+Pl5cXIkSMJDw9HFEUOHTrE8ePHnVqwlZWV8ccffyCTybiyjfPuuQiTycTbb7/NwYMHKSoqIikpiRdeeMG5Nwvqjh9O4rQ3s8+aNQtBEPj111+dJkrV19fz8ccf88wzz9CvXz9eeuklxo8ff1aDDDvsGhQtnVtDQ0MRBIH8/PwzwtvoCEqlkjlz5vDkk0+yadMmXnzxRZdLK/v37+fgwYN4e3tz4YUXnqYjdR7/1MxGRUUFGo2mnWFfT9C/f39Wr14t8Z/Wrl3L22+/jcHQPclnO66++mrWrVt3WtuqDx06hNlspn///v97gkedYMiQIfTv35/a2lp+/PHHHu0rPDycgQMHSmrMdoSGhuLr60tVVZXTAU11dTWNjY29xp9xJFducibY6AHsreRtSc4mk4kPPviA+vp6Hn/8cSmbYbFYyMnJYd++fezdu5f9+/eTnJzM7t27bW7JVitNTU2cPHnSqXb77777DqvVygUXXNCr9znYfuuWHj8FBQXt3MJbbmM2m6mtre2ULG5fgMbGxiIIAnPnzmXXLgfmp6cJpz3YiIqK4uKLL8ZisfDpp592uq3BYOCbb77hqaeeIioqipdeeonzzz//nAgywNbu6iiz4enpSUJCAiaTib17956tw5MQGBjIY489xtSpU1m2bBnfffed0xPJvn37yM7OPmdElexmVikpKf8YJVFRFKUulN42/yovLycqKorHH3+c4cOHs3nzZh566KFWA5Or8PLyYvz48d3KPjqLDRs2ADZTsP+fIAgCN954IwDff/99j7kb1113HVu2bGlVOrCXFERRdJrb1NTUhEwm615X0JT2JTdHnA1JZ6NlsNHyvQ724wrsY1RLGYCKigqefPJJwsLCuOOOO1qNYzk5OeTm5qJSqYiIiCAqKorw8HDpHjUajZIkflccmOrqarZs2QLY+BK9jVGjRpGRkcHJkycxGo189dVXzJo1q9U2s2bN4pNPPgFs5ZwLL7yw07kyPDycY8eOSRpRW7ZsaWcK2DE0nTycwxmZUa677jpUKhU7duxg+/bt7V63Wq1s3bqVRx55BI1GI3WXnG7vDVfx999/YzabGThwoOTbYcd5550H2GqE5wqGDRvGqlWrsFgsLFy4sEuBIYPBIPXz28/nbCM0NJQBAwbQ0NDAX3/9dbYPxyk0NjZiNBrx9/fv1UBZp9Nx4sQJlEolEyZM4Pnnn2fevHkcOHBAMv/qLi6//HI2bdrUo86GjnDkyBGOHj2KVqs9Y+qz5xKSkpIYOnQoer2+x90/KpWKO++8k9WrV7fKaPn7+6NUKp1WExVFEZlM1mvXpyPOhsPMhr3VtYeBBpwqn9gDpr1797J06VJuvvlmZsyY0ercGhsbKSoqQqvVMmTIEGJjY+nbty9xcXEMHjyY0aNHc95553HeeecxceLELp1xv//+e0wmE2PHjiUqKqrH59IWCoWCN954g0suuYSEhATmzp3LoEGDWLJkiZQhu+2226isrCQuLo6XX365VXtsnz59eOihh/j444+JiIjg2LFjhIWF8fTTT3P++eeTlJTEoUOHeOKJJ5w8op4HG2dENCEgIIBrr72WTz75hNWrV9PY2MiUKVOQyWQcPHiQzz77jMTERFasWHFWTZS6gl2OdvLkye1eGz9+vNQq2tjY2C4YOVtQKpWS98brr79ObGws8+fPb2VsZMd7771HdXU1UVFRxMXFnYWjdYxp06ZRXl7Ozp07ufjii8+ZTFdHsKdge7NcUF5eLum5JCQkoNFopNq9SqXi9ddfJyYmhjvvvLNbSr0ajYaRI0eyZ8+eXg006+vreeWVVwAbf+Fcvr9PJ2688UYOHTrEhg0bmDVrVo/IhAkJCVx66aWsXLlS0r6RyWSo1WqnSaJ2H5puY4rYSiPDriBqMIHVCjKZE5mNHqKmpgatVoter+fZZ5/Fw8ODZ555xuF3ay+TREVF9Thrm52dzY8//oggCL0q6dAWl156abt7eenSpdK/NRoNa9eudfheu+ZGW9x5553ceeed3TianuvinLFc+Zw5c7j22msRRZE33niDm266icmTJ/Pll1+yaNEibrnllnN6IKqurmbXrl3U1tY6JE1mZGRQWVlJcXFxu5rquYCQkBCWLVtGcHAwjz76aKssh8lk4vPPP2fz5s2oVCoWLlx4Tk3o559/Pmazmf3795Oamnq2D6dLNDQ04O7u3ivXs8lkIj09XeqxT0hIwNfXF1EUef/999m6dSve3t5ceeWVeHt7s2bNGt57771uiXVNnTrVoVJld1FfX8+zzz5LRUUFAwYMOC3p5n8K4uPjGT9+vJQS7ykmTZpEYmIir776aqug09myiCiKvcrREYRTpRS7P4qks2EPNnox0ACbbsu3337LRx99xNy5c3n44Yc7DOIEQcDd3b3HBpIWi4XXXnsNq9XKzJkzz6lF2bmOM1qYv+6667jnnnsIDg4mIyMDrVbL7NmzpW6Ocxnr1q2jtLSUsrKyVsx9i8XCxx9/zPLly1EqldTX1/PNN9+43EJ1JiAIAjNmzOCxxx7jlVdeYc6cOSxZsoQ77rhDGgAXLFjgkhPkmYBSqZQi/K+++uqcF/iqr6+nsbGxW8GGKIoYDAbKy8tJSUnh77//pri4GC8vL0aMGEFgYCBms5nVq1ezYcMGDAYDTz75JEuXLuVf//oXVquVDRs2sHz5cpc5LqGhoSxcuNDlY3aEjIwMFi1axIkTJwgKCmLhwoVnVH32XMT8+fMRBIHNmzd3KUXvDOxjp7112WAwOE0WViqVPRMEc6D82ZYkKuls9LJBtCiK/PTTT6xatYrY2FhWrVpFQuRA0Am2RwdoaGjocZlw/fr1ZGVlERgYKHFx/v+AupOHczjjLMBp06bxzjvvSNoUsbGxZ/oQXEZRUREbNmxAo9EQFhbGe++9J600X3nlFb777jtkMhn33XcfM2bMoLGxkS+++OIsH3XHCAkJYebMmZSWlrJ9+3YqKiqIiIhg2bJlTJ069WwfnkNcdtllaLVaDh8+3N6o7ByDXq9Ho9E4zTkyGo2kpaWxb98+Dhw4wO7duzl27BiVlZV4eXnRr18/hgwZgkajoa6ujsWLF7N9+3bc3Nx4/PHHGTNmDGBzm3zuuefw8PAgOTmZxx57rJXJljPoaYq5sbGR9957j4cffpj8/HyioqJYuXLlP2JBcboRGRnJRRddJC1QegPz589HqVTy1ltvodfrXfLIgd61AnBrE2xIOhvDvuy1rEZKSgqPPvooqampLFiwgNmzZyPou75m7WrErt4PLVFcXMznn38OwD333PM/L7nfGv8QgmhbWCwWLBYLSqXyH2HIZFfVmz9/Ptdddx2iKLJhwwZSUlL4888/UavVLF++nDlz5nDvvfcik8nYtGkTmZmZZ/vQO0RYWBienp6EhITw6quv8vrrr5/TYkuenp7MnTsXgI8++qjXPT16CwaDgaamJqf5GhaLhZSUFEpLSzGbzbi5uRESEkJMTAxjxoxh6NChhIaGIpPJyMvL46GHHiIlJQU/Pz9eeOEFkpKSWu0vMTGRNkex8gAAJrhJREFU1atXExISQlZWFg8//PBpcXhti/r6er799lvuvPNONmzYgCAIzJ49m5deesll75b/ZVx//fVoNBp27drVK0GzIAjcdtttmM1m1q9f36UHjx3269NRsGE0GrvOHk4R2wUQUkeKPdjovwar/6UO+WF2mEwml40WH3jgASZOnIi3t7fjsomD7Ia7uzvu7u5UVlZ2a+ywl/+NRiOTJ09mxIgRLu/jn41/CEG0LdRqNcOGDSMvL4/i4uJz2ith165dJCcno9FouPHGG7FYLPz444/8/fffkvbDnDlzSExMBGyrlxkzZkip7FdeecXpAeBMIi4uDrlcjiiKxMTEnO3DcQozZ87k559/Jjc3ly1btpyTnQ01NTUATv/mNTU11NfXExUV1envsHfvXr788ktKS0uJj4/nySef7HASDw8PZ/Xq1Sxfvpy0tDQWLVrEvHnzmDdvXq+XMjIzM/njjz/45ZdfJHJiv379uOeee/4x19WZhJ0s/9FHH/HOO+/w5ptv9phHIAgC06ZN46OPPuKnn37i7rvv7vI9drG5mpqadp0XW7duZfPmzYBtklWr1VJLqFarxd3dHYvFgslkwmR6A5PJRP3BB9mZCoHezZmNKSKmd9+luLiYjz76SLKs0Gg0WK1WysvLMRqNKBQKrrnmGkaNGoXJZKKyshKTyYRKpXKoXZGYmEhBQQEmk4m+ffu6lIkLCAggLy+Pqqoqly0Etm7dypEjR/Dy8uJf//qXS+/9P9hw1oqoHh4eVFZW8sMPPzh1c5wNnDx5UmLS33DDDVI/9uDBg9mxYwfl5eX069evnXrcLbfcQmZmJmlpaSxfvpznn3++xwNKb6OkpARfX98uW7zOJahUKm666SZWrVrFhx9+yLBhw8659HxdXR1ardZpfQ17P39HgYMoivzwww9SNufSSy/ltttu69JryNvbm+eff57PP/+c7777jq+++ooDBw7w8MMP9zi4LysrY/fu3fz2229kZ2dL5LvExERmzZp1xv2K/mmYNWsWW7duJT8/n3Xr1kkZu+7CYDBQVlbGlVdeydatW9mxY0eXHUUqlQpvb2+qq6sxGAytrqe2XRBGoxGdToder0en09HQ0IBcLkepVEoPj/AHMZrhUBY0DtsnHVd4eDj33HMPEyZMoKmpSdL3CAgIQK1WI4oilZWVpKamSh0jbm5uNDY20tDQIIn6tTzXnJwc1Gq1y9dxaGgo+fn5FBUVuRRsVFVVsWbNGgDuuOOObnsR/bPxD+pGaYt58+Yhl8vZtGkTJ06cOFuH0SFqa2t57rnnaGpqYvLkyVx22WXSa3369KGurg6DwcDEiRPbpQmVSiWPP/44AQEBHD9+nNdff72V8My5gD/++IPq6uqzYrDWE0ycOJFx48bR0NDQiol/LsC+YhNF0enW5/r6elQqlcOyiyiKrFmzhg8//BBRFJk/fz533XWX06aGCoWCm266ieeff56AgADS09P597//zYcfftiph4Kj48jIyODzzz/nvvvu47bbbuP9998nOzsbT09PZs2axerVq3n22WcZMWLE/wUaXUChUEjth19//XWPPZUKCwtRq9VER0fzwAMP8O233zoWeWtTXggJCUGtVnf5+SqVCj8/PyIjI0lISGDEiBEMHTqUQYMG0a9fP/r27Uvg1SLuic9D4EyJmGzvdlEqlXh6ehIYGEhkZCTh4eHSNVxdXU1KSgoVFRV4eHgQHx9PfHw8Wq2W4uLiVhwLq9VKeno6FouF2NhYl7N0Go1GMnZ0RiHUjnfffRe9Xs/IkSM5//zzXfrM/x38Q8soANHR0Vx++eV8//33LF++nJdeeumc4W/U19ezdOlSysvL6d+/P/fee2+rATQkJIT6+nrc3Nyk8klb+Pr68tRTT/Hoo4+ybds29Ho9CxcuPCdIRVlZWWzcuBGZTMbMmTPP9uG4BEEQuOeeezh27BhHjhzhxx9/7FW3xZ5Ap9NhMpmcli4WRRGdTodarXZIJv32229Zv349CoWCRx55pNs+NYmJibzxxhu8/fbb/Pnnn6xbt44NGzYwfPhwhg4dyoABA1Cr1QiCgCAINDQ0kJubS25uLjk5OeTk5LTqrnJzc2PEiBGMGzeOsWPHdlqT/z84RlJSEueffz7bt2/nvffe46mnnurWfsxmM4WFhSiVSoKCghAEgQceeIDXX3+dF1544dR15YDHEBAQQEZGBsXFxYSHh/eYHGwf2+zBhjNBp70kMm7cuFYB98CBAyWfEjs5Oi0tjaqqKgIDA09lJtqcl77Bn5LywSg8cvH19W2XhQgLC+Po0aMUFxc71bb6999/s2vXLjQaDXfffff/x4F0z+ets9qLdsMNN5CRkcHRo0d55plnWLly5VnX2igrK2PJkiUUFhYSGBjIE0880W4wdXd3R6/Xo1arO5V7jY2NZenSpSxbtozk5GSeeOIJlixZclY5HLW1taxYsQJRFLn88svPuTZXZ+Dt7c19993HsmXL+PDDD4mOjj4nzL3q6+vRaDR4e3s7tb1er8dkMjlM6W7ZsoX//ve/kvNuTw3xtFotjzzyiBTg79y5k+PHj5OcnOzU+/39/RkzZgxjxoxh8ODB51xZ8J+I2267jeTkZPbs2cPevXsl00pXYBfzEkURi8WCQqGgT58+DBkyhJ9//rmdxDU6ATxs2UC5XE5oaCgFBQWUlJT0uLzWUbDRWfbRx8dH8mlpGWy4u7sTFxcndWm5u7vT0NBAQECA5NTaMtAQRThZcD75xaNBPhONroTc3FwGDx7cqqTp6+uLm5sbpaWl9O3bt9OOsaKiIl577TUAbrrppnNmMfxPxVk1wFAoFDzxxBNERkaSl5fHsmXLXGYm9yays7N55JFHKCwspE+fPqxatcoh29leZ1coFF2mtAcNGsSqVasICgoiIyODhx9+uJ1N9JmCwWDgueeeo6SkhPj4eK6//vqzchy9gTFjxjBnzhysVisrVqzokTdIb8BsNpOfn4/RaHQ6mCwrK8PNza1dsJGcnMwbb7wB2HRPelPRMz4+nkWLFvHRRx9xxx13MGnSJPr06UNkZCQRERGEh4fTp08fzj//fG688UaWLFnCmjVr+Oijj7jrrrsYPnz4/wUavQQ/Pz/pHnzzzTddSu3bIZPJCA0NxWAwtHJ9nTt3Ln/88QclJSVUVlaSlXcBVTV9bC+2mKSjoqJQKpXk5OR0KfKl0+nIz8+nqqrK4bb20mFbM8rOgo2goCCUSqVDk86goCCSkpIkYmnfvn1JSEhol4GxigLpJy8hv3g0Hu5lJCUlER8fjyAIHD9+vJW2ht1Hxmw2d1o+0uv1LF26FJ1Ox5gxY5gxY0aH2/7/gX9wGcUOu8TswoULSUlJ4fHHH2fJkiVntF3OYrGwbt06vvjiC0wmE0lJSTzxxBMdZlnq6uoQBAGFQiExpztDREQEL730EkuXLiUjI4OnnnqKiy++mFtvvRVPT8/TcUrtYBeCsossLV68+Jwo6fQEN954I0VFRezatYtnnnmmw+DwdMNeSzYYDMTExDhVS7ZYLJSUlCCTyVoFJ+np6bz44otYrVbmzZt32gY5f39/LrjgAi644ILTsv//g3O47LLL2LFjBydOnODdd9/loYcecnkfERERVFRUSG2dMpkMpVLJbbfdxgsvvMDcK0XM5pEUlIwiNPAIsVHbkDdnOJRKJdHR0WRmZpKVlUW/fv3alQpMJhMnTpyQeD72jpKBAwe2yuJ1p4yi0Wjw9PSkqqoKo9HYbiz19fVlzJgx7ffVImDKzptEScVgvD3zSRz2mXT/xcTEkJmZSXFxcSv/kpCQEHJyciguLnbIWbNYLKxYsUJadD788MP/H5dP7PgHE0RbIigoiBdffJGwsDAqKytZtGgRGRkZZ+Szc3JyeOSRR/jkk08wmUxccsklPPPMM52Wc44cOSI5Jjqr0ujj48PKlSu54YYbUCqVbN26lbvuuouNGzc67WfQXTQ0NPDMM8+we/dutFotzzzzTK+7kZ4NCILAQw89RHx8PGVlZTz22GNOG1H1JrKzs2loaMDPz6+VG3BnKC4uxmQyERYWJq3UGhoaWLlyJUajkSlTpvyjM0//B+cgl8t58MEHUalUbNu2rVuW34Ig4OPjg9VqbaWbERQUhF6vp6LmIgYPWIuXRyHF5UkcTpuH0XSKwBwaGoq3tzclJSUUFBS02rfJZCIlJYXKykr8/PwYNGgQfn5+GI3GdiRje2bDlTIKtC4FdXR+rdAi0CitGEhh6Qg8tSUM7v9tq0A/JCQET09PSkpK0Ov1NDQ00NTUhNVqxdfXl/r6eodj7wcffMChQ4fw9vZm8eLF54zP1dnFP1BBtCOEhISwcuVK+vfvT2lpKYsWLeK///3vaSurFBYW8uqrr/LAAw+QmZlJYGAgS5cu5d577+00TVxaWkp6ejoeHh54e3tz6NAhpz9ToVAwd+5cXn/9dRITE6mtreXtt9/mlltu4Ysvvuh1iXOLxcJvv/3Gfffdx9GjR/Hx8WH58uX/qHbXrqBWq3nmmWeIjY2luLiYRYsWOUzJni6UlJRQWFiITCY7VUvuAmazmby8PJRKZas6+bvvvktpaSkxMTHcdddd/7ea+v8E4eHh3HLLLURHR/Paa691qzulrUiXKIrk5eVxwQUXkHpgLn7eeQxN+IqIkH3UN4Rw6Nj1NFb4ALbJftCgQbi5uZGdnU1GRkazhoaJ1NRUjEYjERERJCYmEhAQIF2zbUsp9syGvYxiv347E9GyWCw0NTWhUCicIxq3CDTq9cGkn5yKUtHAoLj1yL1aH49cLsfb25umpiaSk5NJSUlhz5497N69m8rKSjQaTbuSz8aNG/npp59QKBQ89dRT51xr/dnDP1RBtCN4e3vz+OOPc+mll2IymVi7di133HEHv/zyS6+YBomiyPHjx1mxYgV33XUXW7dulbQL3nzzTYYNG9blPjZs2ADYLNjlcnkrnxRnER4ezvPPP8+iRYuIj4+nrq6OL7/8kssvv5ybbrqJTZs2udSa2BJWq5WjR4/y9ttvc9NNN/Gf//yHsrIyLrzwQslL4H8NXl5eLF++nAEDBlBeXs6iRYvOiGGb2WwmOzsbpVLJoEGDnOYy2Bn4UVFR0kpsx44d/P7776hUKh555JH/40X8f4YZM2ZImYgXX3zR5fHOfh3ZJ/aamhp0Oh2jh3xOvc5IaRkIgkhs1B/ERP5Bk8GLtKyZ1JfabCOUSiWDBw/G09OToqIidu/eTXJyMrW1tfj6+hITEyMFD/ZgqG3JsjtllKqqKnQ6ndRJ4yzMZjXHMmYhijIGxa9Hra53uF1MTAwJCQlERUURGBj4/9q786Ao7/uB4+9nD1h2uQ8Fl0MEzKqgiFeigL8Yo1GToO2kaUusTmvbJKZak4z1HMEjRtPGxOl0ajrJpLGmnU40TdMDPKKNRmNTFZFDlAVhgeVyOZewsMfvD7pP5XSNkkO/r5mdjLN32H3283y/nwO9Xk94eDihoaF4eXn1ShDNy8tj3759AKxatQqDweDx6xFu7ivP2ehLpVLxzDPPMGfOHN58802Ki4v5zW9+w/79+3nggQdITU0lKSnJ4xprd3Sek5PDiRMn5NHKKpWKuXPn8q1vfcvjXhOffvopH3zwAQqFgmeeeYZt27aRl5dHVVWVx8vnbpIkkZqayqxZsygoKGDnzp189tlnWCwWubY8NjaW+Ph4Ro0aJV/cZzDuJcfW1laqqqowmUyYTCaKi4tpamqSn0ev1/Pkk08ye/bs2y5t+zrT6XRs27aNHTt2kJeXx4YNG1i+fDmLFy8ethWC69evo1ar5X4Fnuju7qaqqqpXU6KGhgZ++9vfEhUVxaOPPnpXrTwJnpEkiTVr1rB69WquXLnCq6++yosvvujxd7bvlkV1dTU4/kZUxGc8tgByjsCy/+7KRUX8B291G5fLFnGx+LuM7x5DcGQZPj4+TJ48GbPZLG9HhoWFERER0WuVwmKx4O/v73GwMdQ2ivu6WwqufV1cvfgonY5M4qJfICCiatCbSpJEWFjYTStJqqurefnll3E6nTzxxBM8+OCDnr+ee8I3vPR1KPfddx+7du3i9OnTHDhwAJPJxOHDhzl8+DBarZaoqCj5BzgkJASn0ynPXGltbaWyspKKigrMZjNOp5Pa2loqKysJCAjg8ccf5xe/+IXHpUwul4szZ87w+uuvA7B8+XKmTJlCeno6x48fZ9u2bfzqV7/yeB7GjSwWC4cOHaKtrY1JkyYxa9YsFAoFFy9epLy8XG6JfivCw8NJS0sjNTWV2NjYe2Y5XqPRkJWVxf79+zl48CBvvfUWhYWFPPvss8OSONrY2EhHR4fHfTUAKioqcDgcxMfHo1AocDqdvPrqq7S0tGAwGFiwYMEdf53CN4Ofnx8bN25k/fr1nDx5Ei8vL1avXu3R91eSJHQ6HZIkYbfbaWp4E3/fOrQ+FiYlwQd/7337EaElqNWdFJb/gYKyb5GgNMtBhfu4OhD3SkRMTEy/QKhvNYonwUZAQAAKhQKLxeLZSZ+vi7q6OpqsGwgK8kUf99nN73MT7r5KVquV+++/n6VLl972Y9597uJgA3o+rLNmzWLmzJlUVlZy6tQpPvnkE0wmEyUlJR51HpUkiZiYGFJSUigtLaW1tZWSkhK2bNnCkiVLSEhIIDIycsCVks7OTq5cucKBAwfkKa8zZ85k8eLFADz77LNcu3aN8vJyNm7cyNq1a9Hr9R69t5aWFj7++GMOHDiA1WpFp9Oxdu1a0tLSgJ4z4OLiYqqqqqipqZEvfc8afHx85LLFqKgoRo8eTUxMzD0TYPSlVCpZvnw548aNY8+ePZw9e5b8/HyWLl3KwoULPZ7EejNOp5Pm5mZ0Op3HTa2ampqorq5Gp9PJe8EHDx6koKCAoKAgfvazn92zfzehR1xcHFlZWWzevJljx46h0Wj46U9/etPPhSRJWK1WHA4HTU1NOBWLCY0YA/wRnQ5sXWC3w42HuaCACpKTk7l06RJXrlyho6Oj13bJQNyrpgP1hnGv7rnH3HsSbLi/O56OfrdarZSWlqJQKAasnLlVXV1dvPzyy9TU1DBmzBhReTKouzzYcHMHDDExMWRmZmKxWKipqcFsNlNTU0NTU5O8NaJUKuWVj+joaCIjI+UPtNPp5MSJE7z77ruYTCa5YYtKpSIiIgJvb28UCoX8hW1oaKCurk7O1s7MzGTevHnyh1Gj0bBp0yY2bNhAWVkZzz33HDNnziQtLY34+HhCQkKQJEnu/282m6msrOTMmTPk5+fLX8Jp06bx3HPP9Tr7VqvVTJw4sd9UT8EzM2bMYO/evezbt49///vfvPHGGxw9epSnnnqKqVOn3vYBpb29HbvdTnh4uEe3dwePWq0Wg8GAQqHg3Llz/OEPfwB6Jll62gxMuLuNHz+ezZs3k52dzd///nc0Gg3Lli0b8jPrXmVwOp00NjYC/w0IfHqOMaMTXqPi+mP9crZ8gZSUFAoKCqiqqqKjowODwTDotobD4ZAHs/XlDjb6VugNFWw4HA6cTqdH25DNzc0UFhbicDi47777brt032azsX37dvLz8wkMDLwr2gF8nX0jgo2+goODCQ4OHrRV+GAUCgVz5swhPT2do0ePcv78ebneeqCmUJWVlVitVubNm8emTZsG/IKNGDGCvXv38sYbb/DRRx/x8ccfc/z4cVwul1zvPtBcFJVKRXJyMnPnzmXmzJkimh4G7n4iZ8+eZd++fZSVlbF161aio6P59re/TXp6+heeguquHPK0hLiurg6lUinn3ZSVlcl7xE8++SQpKSlf6HUId6fk5GTWr1/PSy+9xMGDB9FoNHz3u98d9PbuYMNut2OxWOROmW5BQUGDVrt5e3uTnJzMlStXqK+vp7CwUJ5P0pfdbsdms+F0OvutEvZd2XC/pqGCDXe14VCrg11dXfKWuCRJjB8//pantvbV2dnJ1q1buXTpEgEBAWzfvv22H/Pudo+sbNxpKpWKRx55hEceeQTo+eCZzWbsdrvcFCcwMJATJ07wzjvvEB4ePmTfDa1Wy89//nMyMzM5fPgwb7/9NkVFRURHR8tnvoGBgURERBAeHs6kSZOYMWPGF8rxEG7djBkzmDRpErm5ubz//vtUVlayZ88e3nrrLdLT00lLS/O4bNXNvS+t1Wpvelt3d1GXy8XIkSNpbGwkOzubzs5OZs+eLfppCAOaPn06L7zwAq+88goHDhygu7ubp556asDPqfuHvqWlBbvd3m8mSHR09JDHMKVSicFgwN/fH6PRyIULFzAYDP1+gP39/bl+/ToNDQ39VvX6Joi6n6+tbeBKEUCuuhssp6quro7S0lK8vLzw8/MjISGh13HTbrdz9epVnE4nbW1taLVawsLCGDFixKBbpp9//jlZWVkUFRURHBzMjh07bjnB/94jgo07wt0Kt6/k5GTeeecdiouLPXqcsLAwMjMzqampQaPR8Pzzz5Oeno5CoRArF18xjUZDRkYGixYt4l//+hcHDx7EZDJx7tw5PvzwQ3Q6HYGBgQQEBBAQECAfvN1/Nz8/v17tpM1mM+3t7Zw7d46QkBBCQkIwGAwDDneqqqqS51C0traSnZ2NxWIhMTHR4wRA4d6UlpZGd3c3r7/+On/+859paGhg1apV/VbklEolXl5eNDU1oVar+wUJnlRXSJKEXq/Hx8eHy5cvU1RU1G8VISIigoaGBsrLywkLC+v1g953ZcN9P/e2Tl8ul4va2lp8fX0HbPFfVVWF0WhErVYTFRXFyJEj+31XTCYT9fX16HQ6lEolzc3NNDU1UV9fT1JSUr8kVqvVyvbt2ykqKiI0NJQdO3bc9kyYe4MINoaVu1rlxq58nnBvm6jV6juWkCjcGSqVioceeog5c+ZgNBo5e/YsR48epbGxEavV2lMyOICoqKheW23uEsALFy6gVCrlv/mkSZOYPHky8+bNIyYmhu7ubkwmE97e3hiNRt58802am5vR6/Vs2LBB9NMQbmrOnDn4+/uza9cujh8/jsViYf369f1WKvR6vZwXdDsDLYODg5k4cSIXL16kuLiYxMREebvQPS6+ubkZm83Wa2XvxmDD5XLJIycGCzasVitdXV2EhoYOGHC3tLTg4+PDxIkTB82lcOfrpaSkoFAosNlsnD9/Hug5Dt8YbFgsFrZs2UJLSwtRUVFs2bLllirJhNsjgo0h3NgRz+VyeXwG6m7II35Ivr4kSSI+Pp74+Hi+//3v09raSktLi3xxZ8e7XC5cLpccULj/DT37zdevX8disdDY2Eh+fj5Go5GLFy/y9ttvExkZKVcG1dbW0tTURGxsLLGxsaxZs+ZLm4sjfPNNnTqVnTt3kp2dzcWLF1m3bh1btmzpt+qgUqkIDw+/6bHK4XAgSdKgfTx8fX1JSkoiPz+fq1evMm3aNPkxHQ5Hv86bgJycr1Ao6O7uJiwsDEmSevX9uVFXVxcKhWLQduDu6pqhkkd1Op2cZCpJEuXl5XR1daHT6Xqt/pjNZjZv3kxdXR16vZ7s7GwxxfWWeN6WfDAi2BiCt7c3Wq2WtrY2jEajXNni7ufh7u3h/q/VaqW+vp6CggJABBvfFJIkydsnt8Nms/HZZ5+Rk5PDf/7zH3nWhEqlkpsgLVy4kPnz54utE+GWxcfH88tf/pKsrCx5plNWVhajR48G6Nf+fjBmsxmj0YjL5SIwMJC4uLgBc4/8/f0JDw+nsbGRtrY2/P39sdlsWK1W/P39B7yPy+WSK7UiIiLQaDRUVVUNOGTN6XTKQcJAgoKCqKmpoaGhYdC24Wq1mo6ODpqbmzGbzVgsFgIDA5kwYYL8uGVlZWzZsoXm5mYSEhLIysrql9Mi3IzYRhlWkiQRGRlJSUkJK1eu9KifgrsKJS4ujgkTJnwJr1L4uvD29iY1NZXU1FTsdjvFxcVyT4CIiAhSUlK+cPWLIACMHDmS3bt3s2PHDgoLC1m7di0vvvgi06dP9+j+7e3tVFRUoFar8fLywmKxYLPZCAkJITo6esAKE5vNJm8T1tfXY7VaB23lfWMJrlarJTQ0FJPJREVFBQkJCb1u697qqaysxOFwoNPp8PX1lVcyoqOjqaurw2g0EhgYOODx18vLC6fTSXFxMRqNhtDQUAwGg/w+Tp48yWuvvUZXVxfJycls2LBBDFb7QkSwMeyefvppCgsLef/99+U9RqVS2euiUChQKpXyh3306NGsWLFCnL3ew1QqFUlJSSQlJX3VL0W4y/j5+bF161b27NnDqVOn2LZtG4sXL2bZsmU3DWabmpqw2WwEBgYSExOD3W6noqKCyspKqqurCQ0NZeTIkQQGBuJwOKivr0eSJHkVo6OjQ24BPpAbgw3oWY0xmUxcvny5X7Ch0WhISEigrKyM8vJy1Go13d3daLVaRo0aRXh4OLGxsZSWlnLhwgViYmLkbZqOjg7a2tqor6+nq6sLu91OdHQ00dHRSJKE0+lk//79vPfeewA89NBDrFy5Uqw2f4Uk183m/wqCIAhfOy6Xi7/85S/8/ve/lxtdrV27dshJpd3d3eTl5dHR0YFWq6Wzs5O4uDhcLhdms1muuHKfQHV3d6PX6+Uqq0uXLtHU1ER6enq/x3Y6nSxZsgSn08mhQ4dQq9V89NFH7Nmzh6SkJF566aVBX1N7ezsdHR20trZy/fp1HA4HKpUKg8GAzWaTq79upNFo5Ns5HA4mTZqEVqvFarXyyiuvcO7cORQKBT/60Y947LHHxMnfF9TTmPLoENfPHbKXiptY2RAEQfgGkiSJJUuWMG7cOHbt2kVJSQmrVq1izZo1zJgxY8D7qNVqJk+eTGtrK+3t7VRXV3P16lXGjBnDlClTsFqt1NXV0d7ejkKhwNfXV84JcT+nO0m67493S0sLTqcTf39/eQVhxowZqFQqCgoKsFgsA/bTUKvVBAUFERQUhF6vx263U1tbS0VFBdeuXSM+Pp7ExEQaGxux2+04HA58fHzw8/NDq9VSUlJCfX09Xl5emEwmtm/fTk1NDX5+fqxbt050Yb4jbn8b5e4dAyoIgnAPMBgM7N27l+nTp8t9JH73u98NOqZepVIRHBxMdHQ0KSkpaDQaTCYTnZ2dcnChUChoaWmhsrKSkpIS+bFUKhXe3t7yNsmN3A263CWv0JOXMWXKFFwuF5988olH70elUhEZGUliYiIdHR2UlJSgVqvR6/XExMQwZswYIiIi8PX1pbOzE4vFgre3N2fOnOH555+npqaG2NhYXnvtNRFo3DGaIS6eEcGGIAjCN5yfnx+bNm1ixYoVKJVK/vrXv/LCCy9gNBqHvJ+3tzcJCQk4HA6MRiM2m43i4mIsFgu+vr74+flRV1dHfn4+3d3dOJ1OuWlXX4N1A3UPlzx16tQtvaeAgAAiIyPp6urCbDb3u95isZCXl0d7ezuHDh1i9+7ddHZ2kpaWxu7du4fcThK+fGIbRRAE4S4gSRIZGRkYDAZ2795NWVkZa9asISMjg8zMzEEbYwUHBxMUFERjYyMWiwWXy0V0dLS8fWI0GqmuriYvL0+uCBloj762thbovbIBPW3Xvby8KCoqorGx8ZZmkERFRVFfX8+1a9cYMWIE3d3dfP755/KQzNOnT3PmzBlcLhdarZZly5axYMECkZ9xx93+NopIEBUEQbjLdHZ2cuDAAT744ANcLhcJCQksWrSIBx98cMBGXl1dXZw/fx6NRkNISAiRkZG9RsRXVlZSX18vD05LTU3tVya7ceNG8vPzWblyJQqFggsXLqBWq6mursZoNNLY2MgPfvADfvKTn9zSe6mpqcFisdDW1kZQUBB1dXVUVVWRk5PD9evXUSqVpKam8uMf/3jQGSvCF9eTp1M6xPXxHiWIimBDEAThLlVaWsqf/vQnPv30UyRJIjY2lszMTKZOndovWLhZV1GTyURZWRnBwcH9SrpbWlp44oknMJvNxMfHyzkeo0aNoqamhvb2doqKivD29mbt2rVkZGQQFRXl0XtwJ6OePn2apqYmcnJyKC0tRaVSMWLECJ5++mmmTZv2Bf7vCJ7oCTb6T0X/3/VRItgQBEG417lcLnmCtXtOSXBwMA8//DDz5s27pdyG5uZmXC6XPCsFeoKQ7Oxs/va3vxEQEMDYsWNJTExk9uzZjBo1CoVCQUFBAe+99x5tbW3ExcVhMplITk5m0aJFJCcnD7rFAz0dT48cOcLhw4dpaWkBenJNFi1axPe+970h7yv0l5OTw+rVq3E4HKxYsYJ169YNeXsRbAiCIAge6+rq4p///Cf/+Mc/qKmpAXp+SCZPnsz8+fOZPn26xx1uXS4XJSUlfPjhh5w8eZKwsDAKCwtZsmQJS5cuHbRtekVFBUeOHCEnJ0dONFUoFIwePRqDwSDPdbFarZhMJjlZ1S0mJoaFCxcye/bs2xo2d69yOByMHTuWI0eOEBkZybRp0/jjH//I+PHjB71PT7DRMMT1YSLYEARBEHpzuVwUFBSQm5vL6dOn5aGDAQEB3H///YwfP55x48b1G+jmdDqprq4mPz+fnJwcrl27BvSUqs6dO5fvfOc7Hg83a29v59ixYxw/fpzy8vIBS2kjIiIwm83odDqmT5/OggULMBgMIvnzNpw5c4asrCxyc3MB2LlzJwDr168f9D49wUbbENf7iaZegiAIQm+SJMmt9Nva2jh+/Di5ublUVlaSm5tLbm4uer2ehoYGQkJCUKlUKJVKamtr6ezslB8nICCAhx9+mIULF97yBFVfX18yMjLIyMigs7OT0tJSLl++THNzM9CzTTJmzBhiYmLQ6/UiwLhDqqure+XKREZGcvbs2Zveb+rU/7vt5xbBhiAIwj3Kz8+Pxx9/nMcee4zS0lIKCgooLCzEarVSXV3dr79FWFgYCQkJzJo1iwceeOCOzBrRaDQkJiaSmJh4248l3Hl3avNDBBuCIAj3OEmSSEhIICEhgSVLlgBgtVppbm7G4XBgt9sJDg4mMDDwq32hwm3R6/WYTP9L9qyqqkKv138pzy1yNgRBEAThHmC32xk7dizHjh1Dr9czbdo03n33XSZMmDDszy1WNgRBEAThHqBSqfj1r3/N/PnzcTgc/PCHP/xSAg0QKxuCIAiCIAwzMYhNEARBEIRhJYINQRAEQRCGlQg2BEEQBEEYViLYEARBEARhWIlgQxAEQRCEYSWCDUEQBEEQhpUINgRBEARBGFYi2BAEQRAEYViJYEMQBEEQhGElgg1BEARBEIaVCDYEQRAEQRhW/w+pcBgL8kNEVgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import nibabel as nib\n",
    "\n",
    "from nilearn import datasets\n",
    "from nilearn import plotting\n",
    "from nilearn import surface\n",
    "from nilearn.image import new_img_like\n",
    "\n",
    "HCP_NIFTI_PATH = \"HCP-MMP1_on_MNI152_ICBM2009a_nlin.nii.gz\"\n",
    "HCP_IMAGE = nib.load(HCP_NIFTI_PATH)\n",
    "HCP_DATA = np.round(HCP_IMAGE.get_fdata())\n",
    "\n",
    "\n",
    "def plot_coefficient_values(coefficient_values: pd.DataFrame,\n",
    "                            measurement: str) -> None:\n",
    "    \"\"\"\n",
    "    Plots coefficient estimation results using a \"glass brain\" plot.\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    coefficient_values : pd.DataFrame\n",
    "        Formatted dataframe containing coefficient values indexed by\n",
    "        (Hemisphere, Region ID, Measurement)\n",
    "    measurement: str\n",
    "        String identifier for the desired type of measurement\n",
    "    \"\"\"\n",
    "\n",
    "    # Create a copy of the HCP-MMP1 atlas array\n",
    "    template = HCP_DATA.copy()\n",
    "\n",
    "    # Replace region indices in the template with their matching coefficient values\n",
    "    for hemisphere in HEMISPHERE_DICT.values():\n",
    "        # Query appropriate rows\n",
    "        selection = coefficient_values.xs((hemisphere, measurement),\n",
    "                                          level=(\"Hemisphere\", \"Measurement\"))\n",
    "        # Extract an array of coefficient values\n",
    "        values = selection[\"Coefficient Value\"].values\n",
    "        # Replace region indices with values\n",
    "        for region_id in REGION_IDS:\n",
    "            template_id = region_id if hemisphere == \"Left\" else region_id + 180\n",
    "            template[template == template_id] = values[region_id - 1]\n",
    "\n",
    "    # Create a `nibabel.nifti1.Nifti1Image` instance for `plot_glass_brain`\n",
    "    coefficients_nifti = new_img_like(HCP_IMAGE, template, HCP_IMAGE.affine)\n",
    "\n",
    "    _ = plotting.plot_glass_brain(coefficients_nifti,\n",
    "                                  display_mode='ortho',\n",
    "                                  colorbar=True,\n",
    "                                  title=measurement)\n",
    "\n",
    "\n",
    "for measurement in MEASUREMENT_DICT.values():\n",
    "    plot_coefficient_values(coefficient_values, measurement)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predicting ASD Diagnosis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll use `sklearn`'s [`LogisticRegressionCV`](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html) to select a model predicting ASD diagnosis using the provided features.\n",
    "\n",
    "`LogisticRegressionCV` implements an $\\ell_2$ (i.e. \"ridge\") penalty by default and allows us to easily hypertune our model using a grid of regularization strength values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Creation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegressionCV\n",
    "\n",
    "# The LogisticRegression class uses inverse regularization strength values\n",
    "Cs = 1 / ALPHAS\n",
    "\n",
    "logistic_model = LogisticRegressionCV(Cs=Cs,\n",
    "                                      cv=N_CROSS_VALIDATIONS,\n",
    "                                      scoring=\"roc_auc\",\n",
    "                                      max_iter=10_000,\n",
    "                                      random_state=0)\n",
    "_ = logistic_model.fit(X_train, asd_diagnosis_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_asd_diagnosis = logistic_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To simply report the selected model's regularization strength and score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected regularization strength:        0.7543\n",
      "Score (roc_auc):                         0.6023\n"
     ]
    }
   ],
   "source": [
    "selected_alpha = 1 / logistic_model.C_[0]\n",
    "score = logistic_model.score(X_test, asd_diagnosis_test)\n",
    "\n",
    "print(\"Selected regularization strength:\".ljust(40), f\"{selected_alpha:.4f}\")\n",
    "print(f\"Score ({logistic_model.scoring}):\".ljust(40), f\"{score:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Confusion Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import plot_confusion_matrix\n",
    "\n",
    "disp = plot_confusion_matrix(logistic_model,\n",
    "                             X_test,\n",
    "                             asd_diagnosis_test,\n",
    "                             cmap=plt.cm.Greens,\n",
    "                             normalize=\"true\")\n",
    "_ = disp.ax_.set_title(f\"Confusion Matrix\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Classification Report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       False       0.67      0.67      0.67        58\n",
      "        True       0.59      0.59      0.59        46\n",
      "\n",
      "    accuracy                           0.63       104\n",
      "   macro avg       0.63      0.63      0.63       104\n",
      "weighted avg       0.63      0.63      0.63       104\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "\n",
    "report = classification_report(asd_diagnosis_test, predicted_asd_diagnosis)\n",
    "print(report)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ROC-AUC Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import auc, plot_roc_curve\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# Recreate the chosen model's fitting to reproduce ROC curves\n",
    "# across folds\n",
    "classifier = LogisticRegression(C=logistic_model.C_[0],\n",
    "                                max_iter=10_000,\n",
    "                                random_state=0)\n",
    "cv = StratifiedKFold(n_splits=N_CROSS_VALIDATIONS,\n",
    "                     shuffle=True,\n",
    "                     random_state=0)\n",
    "cv_splits = cv.split(X_train, asd_diagnosis_train)\n",
    "\n",
    "# Create a figure\n",
    "roc_auc_fig, roc_auc_ax = plt.subplots(figsize=(14, 10))\n",
    "\n",
    "# Plot chance diagonal\n",
    "roc_auc_ax.plot([0, 1], [0, 1],\n",
    "                linestyle='--',\n",
    "                linewidth=2,\n",
    "                color='red',\n",
    "                label='Chance',\n",
    "                alpha=0.8)\n",
    "\n",
    "#########\n",
    "# Train #\n",
    "#########\n",
    "\n",
    "# Collect values required to plot the mean ROC curve across folds\n",
    "true_positive_rates = []\n",
    "auc_scores = []\n",
    "fpr_values = np.linspace(0, 1, 100)\n",
    "\n",
    "# Plot each cross-validation fold's ROC curve\n",
    "for i, (train, test) in enumerate(cv_splits):\n",
    "    classifier.fit(X_train.iloc[train], asd_diagnosis_train.iloc[train])\n",
    "    curve_plot = plot_roc_curve(classifier,\n",
    "                                X_train.iloc[test],\n",
    "                                asd_diagnosis_train.iloc[test],\n",
    "                                name=f\"ROC fold #{i}\",\n",
    "                                alpha=0.25,\n",
    "                                linewidth=1,\n",
    "                                ax=roc_auc_ax)\n",
    "    # TPR interpolation\n",
    "    interp_tpr = np.interp(fpr_values, curve_plot.fpr, curve_plot.tpr, left=0, right=1)\n",
    "    true_positive_rates.append(interp_tpr)\n",
    "    # Collect AUC score\n",
    "    auc_scores.append(curve_plot.roc_auc)\n",
    "\n",
    "# Calculate AUC mean and STD over folds\n",
    "mean_tpr = np.mean(true_positive_rates, axis=0)\n",
    "mean_auc = auc(fpr_values, mean_tpr)\n",
    "std_auc = np.std(auc_scores)\n",
    "\n",
    "# Plot mean ROC curve across folds\n",
    "mean_roc_label = f\"Mean Train ROC (AUC = {mean_auc:.2f} $\\pm$ {std_auc:.2f})\"\n",
    "roc_auc_ax.plot(fpr_values,\n",
    "                mean_tpr,\n",
    "                color=\"blue\",\n",
    "                label=mean_roc_label,\n",
    "                alpha=0.6)\n",
    "\n",
    "# Plot STD across folds\n",
    "std_tpr = np.std(true_positive_rates, axis=0)\n",
    "tprs_upper = np.minimum(mean_tpr + std_tpr, 1)\n",
    "tprs_lower = np.maximum(mean_tpr - std_tpr, 0)\n",
    "roc_auc_ax.fill_between(fpr_values,\n",
    "                        tprs_lower,\n",
    "                        tprs_upper,\n",
    "                        color='grey',\n",
    "                        alpha=0.2,\n",
    "                        label=r'$\\pm$ 1 STD')\n",
    "\n",
    "########\n",
    "# Test #\n",
    "########\n",
    "\n",
    "_ = plot_roc_curve(logistic_model,\n",
    "               X_test,\n",
    "               asd_diagnosis_test,\n",
    "               name=\"Test ROC\",\n",
    "               color=\"green\",\n",
    "               ax=roc_auc_ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Coefficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hrFmzBm9vb5555hmeffbZduulpaUxYcIEXnrpJVavXg1IsQiPP/44AB988AFRUVHcf//9ODo6snPnTm6++eY/RFGtlJQUZs6cyd69e/noo49MKU728Oqrr1JYWMg//vEPHnroITQaDWlpaabMluLiYkpKSvjXv/5FcHAw1dXV7N27l0cffRSAixcvIooi//nPf/D396esrIzNmzebPvceeujhtyU7O5u1a9eaRre+vr785S9/YcqUvchkB4GD0oo2hEaT6EqifiE6lAyUbURApFQ/CLlFBWdfwHH3btyXLTO5UHMNhQ+NtmndYpAbQvWqZ4SjXeCEQmwmVX81cbI1KIVG629iw/Nww5Po9VBfr8LXFx58sJprrglnzRp3EhMT+d///sdPP/3EsmXLTAUX/4goFApWrVrFrFmz0Ol03HHHHQwaNIinnnqK2NhY5s+fz9tvv82mTZtQKBR4e3uzdu1aQKp6vWfPHgYPHowgCMyePZtrrrnGruNeDrEhiJ0MhX+tHNwe/jxcSnxODz38UejVqxerV682FR+8nFRVVfH5559z+vRpKioqcHZ25oYbbmD+/PmoVC+Y1isudsbRUYf7jqeQCfo2+2gRVSTr51NDKL2FPQTJzlGq78cFcQ7Rz20nwCyotBS4C0l0rDX8v78RBL4AFgJGh7tRbJx+9xY0eBApHCBNnEUgZ+knt50233JdFImJ06mr86FPn8MEBmYBtxnixuaxZs0ak9V73Lhx3HPPPe2SELpKr169KCkpQS6X4+rqyuzZs1m1alWbbMY/A4IgENzB8kJ+oQDRHnrooYcerkyam5vZuHEjGzZsoLGxkYKCAu69915uvPEFPDyOAg/BBqlGkk6Uk67/O3oUKFhOiHAaX+EizpShwYtk/TWo8SOCeIJkUm0GHUr0KFA90wJLWo9rvJHozM/F8GgeSaerlASHfp8c2ZQWAoXzVIi9qSSaWjERd8F6VmFRUT9qagIQRRkZGWMMYuNTBAHGjPmM2NgMNm/ezJdffsnhw4dJSEjgtttuY86cOZc0YP7pp5+YPn06xcXFzJo1ixdffJF///vf3d7f7xXVZdhHT4v5HnrooYc/AImJifztb3/j888/R6PRMGbMGOLSE7jz+Xvx8DBc6je0FmNswQm9QSYoxQby9KM5pb+VeP0DnNDfgRo/woRjRMhagwj1qOAc8H/N5odGbtqnhE4QMIbkW4bt6yoBBEBEEKCXLB4tLqTrZ6AX5ViiE+Xk5w/E3b0Ud3frJRIUimiuvfZ+3nvvCHFxcaSmpvLmm2/yf//3f+TkdB4P0hmBgYHMmjWLhISES97X75HfLEC0hx566KGHK4Pm5ma++OILNm7ciCiK9OrVi2XHVjF0z2beUsCFFhhkXPlBw+Mb4CDUEyycoVA/nHDhMCqZhiqxF3ViII5CLX5CKj5CZptj6Qy3F8uYDWuWDaPYsHZDaprsgihKFgdXoZQQ4ST5Yhxp4gz6sQ1zY0SWOJnmHIGQcfmUl4cjWLh7zPHzk/Pkk6vJy6uktvYiqakHuf/+dK6//npuvPFGVKrujdHz8/PZunUr06ZN69b2v3d+0wDRHnrooYceflsyMzN54403yMnJQSaTseTiTyypA4UrkA5XO8HXDTAoLBfy2hdijOAw1YfDyR4/mThW4y3L7vB4LQY7hby5Y8sGWHejGFHs1iA4AO+ugg0riRQOUi8GUiLG4EwVYRxDFCGzeRgFyhG496snJCSJvLwYnJxqOzxHITyP3is9uf56J3bt0rD1yR/5Kf5HkpOTWbFiRZuiWJ1x7bXXIggC9fX1TJs2zWqCQg/20eNG6aGHHnr4HXLy5EkefvhhcnJyCD69mVdKNrE0EBRmV/VoBTSJkNMChJn1s3pQmlSyRgIykmlKcqNEjOn4gDesogEfBEQcLdoSdGTZ6NCW4LMSbliFbPHbDJT9iBPVZOvHcUa/lDP6pazaoeJoTjoDBuynpUWFSqXGza3M9v7CcilrgdpaPRERCv72NzdejoYoDSS99TIPPvigqWChPWzcuJG6ujr27dtHamoq5eXlnW/0B+RyuFF6xEYPPfyKiKJIc3Nzm8m8DH0PPdjDmTNn+PecOLQHfuCq1M281Rv62ajMeaszvF8vlQNvx4MQmH4egOrNnbSg2LASteiLY001Kre2bhSjZUNHa2aCrZgNAL1MhmhcwWclAMrFrzFM9iWhshPUE4haCOTO/4tCpzvEvn3lNDZ60NDghYODlRTZsFyTmPq4AZYscUYVnQdhuQwohGc9YLwKNHu/5emnnyYzM7P9Pjpg8uTJ3H777Tz88MNd2u6PgqqDyV46daOYd+TroYdL5c9WXri4uJikpCSysrLIzs4mOzvbarM6Z2dnU2dNJycn3N3dcXd3x8XFBWdnZ5ydnXFycmrz3PjawcGhJ0X9d4pWq23TQFKhUHRamOrcuXM8P3MEgSoY4QbLgmgT49CsdKLR1RtH51ocGuroo4SBSjjQDFOsFGRWaRpwqq2iZl4Ioti6rx1nYebQ1vVaRAc05zzwrUwzBHm2IiCNXPVI5dAVokiTYUeWYqPBywudoyNh+/e3zvRZCRWrUC1+lSheIUJXiEymQxBE+vVz5umna5DJwMGB9m4Uc4sNkK+DIfOK28xzFOARNxAd4PCudTwhk/HSSy/Z1ePLyAMPPECvXr04e/YsQ4cO7XyDPxC/SsxGcXFxZ6tc8ajVavbt28eePXtIS0sDqgFwcXFi6NB6dj5+BB3QaJgaAKNudwR6z5mDg4MDd955J2PGjMHHx8d0cddoNFy8eJGjR49y4MAB9u/fT2luLnLAH4gBfGhV/gCrxb8DkJc3k/37T7N37ylKS6VhR0xMDOPHj2fGjBk2y6/3cGWTl5dHfHw8hw8ftmhIVw2AQlGITCaYRoA6nUhDwyAaGhooLS1t0/XXiE6nM3Xn9ff3b9PgUCaTERAQQHBwMKGhoYSEhBASEkJkZGS3W4H38Oswd+7cNq//9a9/8cILL9hYW2rE9cL0oWhFGOwCdwa2FRoARWFDyY+IRRerpP+WLfhnX2CeI/y33rrYAHCrKKGU/rTghJJGuCGcnz/JZeYLhjblG1ZS9Uo4zATX8lLk3rQTHAqkOA2dTodCobAZs5E/ejSCToeTRdNJo+CA/0Muf8U0W6USeOwxdx56qJjZs2ulAFELgWGO3IbulgvwSBP82w1O7viaF1xdeeutt3By6qjzRyt+fn7ceuutPPfcc3z33Xd2bdNDK3/YAFFRFElLS2Pbtm0cOHDArOtqI2PGiEyaFMLw4X7cq3yXKMttgTqgBKgBjmzdigY4evQo0dHRBAYGEhISQmlpKQ0NDej1ehobG0lOTkZdVEQAMBqwdZlfJrxjePYOqyPhpvQVHDgQw8aNKaSlpZGYmMg333zD/PnzmTdvHi4uLpf98+nh8lJcXMyePXs4dOiQWe+CapycHBk+XE10tAeRkcH06uWOr+8whOhVpm3FjJWo1Vqqq5+gurqa2tpa6urqqK2tpaGhgQ9vv50M4N6nnzZ1AZbL5TQ2NtLQ0EBzczNFRUUUFRW1aeEtCAL9+vUjNjaWESNGEB0djUzW4zm9Uuiojbs1NBoN/xkdSqMexnvA30LaCo2De6XH6qAonJ3ccWysIXXK1egPKfBJT0LTQd0lURAgCWTPBIJcErti78lANfg8AUDhNSMQEAlIs94p2hQk2tIidak2vDa/ydSEhlISE4NPejqeubnoMBT6qjAKrGrAs92+PTxkLFsWyn//Ec/416ul95vfunxiaOtzfxkkaWGQleG4oi/8Uw8PX4Ss7z/io5gY7rvvPqvvx9r38/7771td949OTzaKFdRqNXv37mX79u1tfixDhhQza1Y4o0eHs8LxPVJs7wIBcDdMIhABnAcqiovJUShQqVT4+flRX1+PTCajV69eJCUlQVERvYHB2P/BLssCFO+yWvw7U6aIHDki49tv80lPh88//5z169czefJk5s6d+6dtq3ylotFoiI+PZ9euXSQmJhrmVuPm5sLo0YMYN24Iw4YdR6k0s2tFvdNuP0L0KlwB10wVoZPekX4TZkQhWdvyLSLhHYDPRRGtVktxcTH5+fkUFBRQUFBAfn4+Fy9eJDU1ldTUVH788Uf0ej0xMTEMHjyY6OhoIiMje4Ts7wRRFHk3xolcDYQ6wAOhktAwCow26yqVqM/mItuyBcfbF5MXM0pyb5xMsrl/rcoRp5pKZDIdcDc1NQ54ePwsLax4gbq+b6H29sYn6yKO9bXtrBrQGgCoNwSHGENEzK26Db6+AASY/i/WqAb+D3ilzdzISBVRgf68dqyAay1qfx3MbxUcd7jA63XwigfIzK0cfaQHlQweDocH0mHnc/cTFxfX06W6E654sfFLluM1RxRFLly4wLZt2zh48KDBiqEhZfMugoFvCv5KcHAky4R3+KyL+xYAP2AqkAQU5ucTMX06L730EjKZDAcHB7766it+XLUKN7omNMxZJkhWjnHA2IyVnD1bznffZZCQEMCOHTvYsWMHY8aMYdSoUUycONGubrhdoac0r30Yf2s7duzg4MGD+Pr6kp+fj0qlZvz4oUybFktMTLTB7/4ZbS61VoRGG6LaCw2wNdaTWGYY2q4WxXYpfRqNhoSEBBISEjh+/DhlZWUcO3asTU8gf39/IiMj6dOnD2FhYURGRhIYGNgTA3KFsW3bNvZVg6MMHo8AR7kNoQHofHxQ5uaiqKxEs+YbnP66mL0Dx+CcWw7N1uPvGj28keu0CML/AdWcO1dA374+0sINT5A3/Gq0ji6EJhy3KjSMxwZM1jOj2DC3pekNy+qCgvAx749lsJ60WjhAEhxgFB1Jw1KJW7qUH06f5gLQz/ppECSH4Sp4ugBmGuZNnNp2nXBH+GsQfFgI71w7jn4pFZdc3vyPzOWoIPq7tmw0NDRw4MABNm/ebKgSJwVaDRtWw5kXTjAJ6Yf+VMgnl3wsARiAdOHfvXYtacuXExcXR3V1NU//9a8IdF9oGDHdaGStJnZXIB+I/MsoTp06xdGjR1m9ejUzZsxgyZIll9Un31Oa1zY1NTXs2bOHnTt3tmnxHBwscv31sxk/fijOzuYC0ELWdiI0rIkM07GBzi+D71q8XoGjoyNjxoxhzJgx3HvvvZSWlnLu3DmSk5PJysoiJyeH0tJSKioqOH78uCmGxNHRkf79+zNlyhTGjh2Ls7ONNIcefhVKS0tZfZsU27EyBMIcrQsNAL2bG8hkyOrrAVBUVzN023q+CRjI0OmzaTi0CefaqjbbNLp50uTiRkBGMoStRBTh51sm8uCD4wGpvXx5dD88ivLwKC0CK/Ea0Co2TOdieDQXG/4pKVRGR1MQG0uzqyuR+/YhpzVAFp8nLARHK4qKChTV1VwTFcX63FxCkK6P5hhdK6FAvGEab1hW5x5Arbs/yhYtfsUXuNpH5GQdnK6D/47w4bksfY/I/gX5XYqNgoICNm3axJ49e9BoNLi7K/DwSGfGjDBmzgznyeA1BHayD6WbGy4hISjd3NBrtTTX1lLXSTqUHOlHnIY00oiLi2ORlxcikvXD02J9Le3NT3IHB3yGDkXf0oKo16MpL6ehqAjRSlAggAuSgn/3o5EcOjSJbdv2kZpawI8//siuXbu46aabmDdv3mVtrfxnL81rTklJCd9//z27du0yxf14eHhw1VVRzJgxmtDQrmfXLM+C9yLtX1+k8xz1ZYKUPrhaNApVc/GxAsIE/PNEpk+fbrI06nQ6CgoKyM7OJisry5QxU1FRYbKIvPfee4waNYrJkyczcuRIlMrLYVDtwV5EUeT999+nWQ+TPGGyl22hAaCNlH5YSjNBvC+lmsbaVEKnTaXWL6id2KgMlbbxzpeufz//7xYi8mrw93dFFCFNPxNxiEDkj4dsWjWgVWwIYa5QKVoVG8rGRvr9/DMp8+dTEhODJsib8DNH8cm1vPZWSw9hT0DeCxD2BIIWRIUCx6goZu/bx9fAX2m9iZnHcMiAG5Akv6OjI3XOV9HUZwB+7hp0SkfUbn5Eph/k/lBYmQYJ9dJga/78+bbf4J+YK96NcrkpKChg3bp17Nu3zzAK0zB4cBXXXBNJXNx0FArbl2SFiwtuERE4+vnh0acPKk9P07Lm6mpUnp4U7NpFhZUbrDEzRQkEAxeB1U89xYMPPojRKBlssa415I6ORC9ZgqOfHzqNBrnBFSK2tKAuLKQ+Nxd1Xp4kPiyS4lc4vs9qUcHX0z/grYxb+eQTTxISMlm9ejVbtmzhjjvuYNSoUZdFmf/ZS/MCZGVl8e2333Lo0CGTDzo2NpZZs2YRG0sn4s7MqhH1DsttWC2MoqMjqwZIf9KmjlcxsUxYaSY4DIQJbR8NyIFwwzQpr3VcWlNTw7Fjx9i3bx+JiYkcOnSIQ4cO4eLiwoQJE5g8eTIxMTE9o8BfgfiRMk7mgotcSnE1oomJQT1tGkJjI6r0dFS5uYhyOY3Dh4Nej8qQBSUC3wJDvEOor1TjVFfd7hhVIb0QEPEqzGabBg4fzuXZZ68CoKjIidqgaQS9tQGP4gKbVg1z9FVSbxRrYgNA1dDAkG++oWxsDBnjppI8awExW77H615DD5P3noDlrdaNg8ITpufyigq04eH0lcko1+v5HklUWPslKoAlAQH8NziYHBcXeuXlkZSYiPfUqRxLV1C1t3U9fGDtnQsY3gfCDvd0pbbkTyM2LEWGXN7MtGkaFiyIJCJigNVtHLy9cQ4OxiUoCJewMBwM/rjm6moEuZzq5GTq8/NpqqpCkMsJmzGD4KlTqcvOptksJctcPGiRfFcuSNkq+fn5OABOSB+kNaFhLlSCJk7E0c+P8lOnqE5LQ+HoiHNgIC5hYajc3QmcMAEAvVaLOj+fhsJC1IWFNBQXo29qMmWx/Cf6M9NoN+ieGAoK4IUXXmDq1KmsXLmy2/X/e0rzQkpKCuvWrTNldcjlcqZNm8bChQulnHxjXp3uhI092BcVZBQgnQkNkIRsCuCFlIrdJcJW2rme4X3liXh4eDBz5kxmzpxJeXk5Bw4cYN++fWRlZbF9+3a2b99OWFgY119/PZMnT+6xdvxCqNVqPiyUnt8eCF5mH7MmJgZRpUJobkYbGYkmNlZaoNXi+vPPyBoaANiHlIIfOXo0YlMTCacL29z8R/d2piooAofifD6s0ND05ByeWTkapVJOc7NAZqYbKpWeSLf9MAfYitW0VzCzbBgejbZaa0NAAQi6kIhrZTlnr1lC8sz5xLEaFYaCXWGtAmNiaKvVQl5ZibZXL/QeHoyvquInYDdgLSpQM2gQ2hEjuNrTkx/WraOotJT+oaHSIM+skF4IMNILdlXBR4XwrCj2CGkL/vBiQ6PR8Nlnn7F582aDyEjiqqvCWLKkD/7+bf3Iyz0+5Z+J/+CzB84zcPly5A4OCIa6BC0NDVSnplKfm0t9Tg7NVooq5e3YQfCUKQRPnUr2Dz/YtFBoaRUb/+jfn2ak2hzWnSCtqIKDcY2IoC4ri8K9rXbQWkOQlCCX4xISgmtEBK5hYbj16oWbwSSqKSsDQaChoIDazEzqsrNBp8MPaP4gkSYS8VjUm717oaioiMceewwfH59Ozqg9GzduZPr06ezfv5+bb76Z8vJyPM0sQH9kKisrWbt2LXsN342DgwOzZ89mwYIF+Pn5tU/el8fZ3pnu750Hg3YBJ6SMlDPAEKTf3+XgtnwrMzu4yKqABZ9+yu7du8nLy+Ott97i888/Z/78+cyePbsns+Uy8+mnn1LVAgOcYZYhaMfoQlFUVtISGor7+vWIcjnaXr0QdDoUpaUo86UvNgNIB253daXW0xOH5OR2N/69/sNIK67h/I6dXK+AWW9sRXhwPNzyBLVvvoJeD72+/x9KXRNs7fh87YnZsMStrJjeh3ZxYeocMvdMof80w0EMrhNL5LW1iECLuzvyqirmAeuBE4DxHykqFKinTEEzbBhFajXl337LyNJSjgGOHh4EaDQ0mAenAtkXwcUfztTDiTgZo072WDcuN1es2EhISOCdd96htLQUmSyJ6dPDWLJkGgEBrSLjXpeP8RwwgMUf3kT/u+8mM9MPt8hINGVlVCUloSkrQ11Y2MZSYYv6nBw0FRV49u+Px5AhlJ87Z3NdBySl14T0AYp0LDZkSiURs2ahcHcn+8cfra4j6nSSGMrNNW3jFBiIS3AwDt7euEdF4T10KN5Dh6JvaqImPZ2qlBTqc3IIB+q+vUgaFwkJCeGhhx7iySef7HaqrHlp3o0bN3ZrH78X9Ho9P/30E19++SWNjY0olUquu+46rr322u4H38rfkfKlLyOeSJ07zwMBSLu/lIoZVoVGJ7gCu2+7DT3wwK5d/PDDD+Tk5LB27VrWrVvH7NmzueaaayRx1sMlkZqaytatW5ELsCK0VQNOnCoJjpPZ2fgPGcKFvn2pOXoUyqR+IcYSYVnAz8DtgNzg8hMa25b5FuVydri6knf2LG9TRaDRbHaLdJNvePk7xKuX4dxY2anQMMcoV+0RGwABaUkU94+hpO8ggmTn8NAXWBUaALKqKgSdDtHw35QBC4H3kAL4HYKCqJ87F52XF4qCAgo3bUKnVqMAxgLJjo4kZmfjXtQ2d9YRuDlAsmysLoThWm2Pxc6M30U2SlfL8arVaj7++GN27twJQFRUHvffP5GoKA9AShGVOTjgP2oUA+6+G0Gh4ODn+dRmZrLpnp+oy8xEr+0ocsI2Bbt34xIRQfiMGej1eipt5ILrkCwcAm17AlhD4eRE1IIFOPr4UHz0qGSlsAO9Vos6Lw+1WaCXg48Pnn374jlgAF4xMXjFxNBYXEzRgQOQm8so4PAHHxBxdS8efbSeRx55hNGjR9v57tvyZyjNW1tby2uvvcaZM2dobGxk2LBhrFixgkiDRcncmnFOD6p5cxFlMgb8vBmAo7Y7XUMWjInEZrxGd3AHRkm75gTSxdW9ow3sdaF0ERnw2fTpiEhCe+jjj3Pu3Dl++OEHzpw5Q+/evVm4cCGhoaGd7KkHa7S0tLBq1So4spmF/hDhCP+0DArNyKC5tBSniAhqjh0DUTQJjYvAISSh4Q7oDFlGllarnVFRVGm13CGXEyiYjeQNVcSdF1QinE6hIckbb3JMiztLfe2q2BCA3od2c+qG28lRjWOIZoPNdeVVVSCX0xwdjaPh+qwEJstkbI+OZvL8+SCKOMfH43T0aOt7B1SensyeNIkfNm0iRBRNcXZG5nrD1grIb4JNmzaxcOHCTs78z8PlkF2/eDnBuXPnmvo4ODk58cwzz9hct7i4mIcffpidO3eiVCZz660tvP76BKKiPFgmvMMy4R28hwxhwF134T96NNr6evK2biXp3XfJ2bSJmgsXui00ADSNjaStW0d9YSERs2YRaKPQi1Eqac2eW2ulpXRxof8tt6BwdaX01CkKDx3q9rkBNFVUUHLkCBfWrCFt7Voqz57Fyd+fqMWLibrhBlzd3IgFyjZn09R0in//+9/88MMPppTGrmBemvePyIULF7j//vs5c+YM7u7uzJo1C15/nReiolgqCKwQBD7Sw0m9JCoagExXNzJ696FFqexYaBi4nELDiAyIRrJyXEDKjLJpVctbZWvJZUFAKsWf/5//oNi8mUmTJpGfn8+uXbtYvnw5L774Iunp6b/oOfwR2bt3Lzk5OQSqYIm/jZV0OjS5uTiGheEQJEWObgESge3AG8GtQlTQaBBaWmiOiEA0uJb3e3iQExjI/KgonG1knXnWZCIU6SiP7ttmvtxGHrYtN4rcckUruFaW45+eTPNxZ+rO2HrTkvtImZ1NU58+1M2cSVOfPjTExhK6bBkX3dyQV1Tg+cUXOB85wlaL655Tr14o5HLGyuWkABVmy16cKnXLvcugQL755huqqtpm7fyZueK7vmZnZyOKYpvJVt3/1NRUHn74YfLztxERkcPbb0/mhhv6tMkwCZo8mdCZMxF1Ogp27eLCmjVUJSV1KDAKDVNnGPegKS8na9MmNBUVBI8fj4cVV4S5wLDWWhlAkMmInD8flYcH5QkJ5BtiAbovhdqiKS8nf+dOLnzyCTVpabhGRND75ptx9vVlEKDenI0onmfNmgdZtWpVp51Fs7Oz2xVfe//99/+QPQD279/Po48+Snl5Of379+ett97ikUX/x23AA8CjSKbZEuBVYAOgBhwyMmiRyzkUYV/e6q2/zOkDkksjFime4zhQRPuLPQB5q5jbDZdJV3EHEv/v/1Bs3Mjs2bORy+UcPnyYBx98kH/9618kJCR0S/T+2WhpaeGbb74B4JYAqdqlzXUNtTQEg6U4GzgMfDwJPGStFTVlTU0479uH3t2dmiVLOBITQ1Lv3swfORL3LVsQbFw/5Vt0yHQ6nKrbmzJsCQ6wz7JhbfvgpATU3n4UVw+xvXPAddcuHFNTaRoyhLoFC2iYMgWFWo2ysBD3zz5DYdY3yByHkBCaS0vR5+UxFjgFpgofRsvRhpNQUyHFC3766acdnkcPXeOKaJRw6NAhHn98HjU18Qwf7scrr4wnNNRQriVKsmiEzpqFX1wcjSUlpH32GRUJCe3SQ82xFBnWXhux/Ktp1WoyN25E19REr7lzUXl4tFmuRLqwG10p0P5CHzJpEq4hIZSfO0fpyZNt92/lmN2lqaqKnE2byN+xA6WrK71vukmydgCPPjoSlUrOjh1v8PTTY6mvv/cyHfX3y7Zt23j99dfR6XRcc801vPjiixT5+XHerEGOsWrsdCTx0Rf4EChMTQWgcdAgu45lT17KpfhCBSAMGIlU+Ouk4dGcuYb6G5aC49NfyMPhDBxfuZKPP/6YhQsX4uTkxLlz53jyySd58MEHiY+P7xEdHbBr1y5KS0sJO72ZiZ6t81+c2n5dh+BgEEW0VVWkIxX/CwRcrJQLcjx3Dof0dDKVSuIdHVk4YADu+/ahLCpq01fEnDr/IFocHJF1cJ01x143ii2h4lYmNf1sVrQPNDY/R3l1Na6bN+PxzTe4bt+O69atuG/YgE9xMbU2zlVQKHDp0wexpQV9YyPOSMHWp8zO2yg4hiC5+/ft20eGRSDpn5Ur3rJhDwcOLOSVV25Fq9Uze3YETz01Cmdnw1uIeoejWeDo54d3TAzq/HwyvvmGFrW628crpPVG39FNv6m6mpxt25A7OBA6te0/3dyyYfxpm18+nfz88B85kobSUvJ27+72uXaFynPnyN64EZlKRYDB/bN24ne8+OJYPD0dOHeunIcfjqeo6E7AeuOhPzobN27k3XffRRRFbrvtNsbecw8pNoLAjL8wARiK5P/eVV/P4YMHaezVC10nwaNdLYt/KaiA/kgxHBnAG2/spqKi3iQ0jMzNbzvZFz3UPf7h48Pev/6VTz75hFtvvRUPDw8uXrzISy+9xEMPPWTWS6YHI83Nzaxbtw6QghVlgnQDNE7myJyccOnTh/oLF0iuq6McqdWBgrbFrYwIej1NW7Zw4KuvuLWuDt/vvsMpIcGm0ACoDI/EqboC34wL7ZZ1t4KorW2N5wggOnZ+WxIAZX4+jufP45iUhKy5GR22gxAdIyIQFIo2WSiBSJbBbIt13YCWjRtxcXFh9erVPeIY6Rpja7KX31RsnDixhDfeOIMoiixd2o/lr+2X3CYWaYPXxMWh12rJ37XLqssk2WyyhzKkkWtnVKenU5OZicrdHSf/Vj+iecyG0R9p/nP0HToUrVpN3q5dNiuD/hLUZmRQlZqKe1QUDl5eAPTt68Ubb0ykVy93CgrqeeihQyQmVvBnExybNm3i448/BuDee+9l0aJFHa5vObbyAu4BnHNz+fzQIfL62erM0DUuZ9KKKzAcmDixNyN9H6MMG64VMz4N/WVFx3JXVzYvXsyaNWv429/+hre3N+np6fzzn//khRdeoKCg4Bc8+u+LHTt2UF5eTq9evRjvYSUo1AyFhwcIAkl1dVQhdZludzHv09YisA24VqvF/8IF5IbMFGvCxEh5ZB+0zq54lNjjiDbrjWJ4tDdA1IhOJTWjF3TWrRMdCSOQyhEYy5db9kJx7iN1YbNMeR2MlB5seZXuCyR89RWJiYmcOGGrps6fh9+1ZSMh4SZeeukkwcEuLFrUmxtv7CsFSxuFhsGqsRrQBgSQ0dzM2vJyvoZ201mz/dorOOyl7MwZnP39cY9ovS0YP+Bxd99ttXKd98CBaOvrURfa9ye9nNTn5CDI5TgFSGW0lwnv4OfnxCuvjCcuLoC6umaeeOIImzZlIop//9XP77fg0KFDrF69GoD77ruPefPmQVbHRXus2c5kwKySEmb36cN3Oh3vIxUUSgJygTygAMl6Vo0UgFZqeF1seF2DFGxqvDDncPlYLa7iY3EVcXER9EOq/5JOx9VH5+bDll8haeQuBwfmzp3LBx98wNKlS3F0dOTYsWMsX76c999/nxortW/+TDQ3N7N/v5QGUrNqFY/v62T94mIO7dxJjShy9XXXIXdwMC3bAqYOp0YxUYoUn9DLzvMRgcZ+3riWl1h1o8i9Qb60/TbQfTdKdbD0Q3Qv7boA1RmOY/pXp8OLht+1IJfj0qcPzRUVaMvL22ynRCrqlWuxPxWSpTBl82Y++eQTdL/ioPGPym8iNlJSbuGFF07Q3Kxn8GBf/vIX66PE1YbHTdDpl322w6Xdx1gATGFWsMho2aivr28XsyEoFMhVKppra7t1vELaxpdYkysdSRjRRiCok5OCJ56I49pro9DpRD76KImXXz6F+hJcUr8HkpKSeOONN0yukxkzZnQqNAAeNJvMEfR6onJzWXrVVSyKjMQPyVd+HDiK1PjpgGFeKZLoaEQadZUiXdRSkFITk5GsCvZ5xLuGsRR5EJJrpb6Ddefm/3IxHObcJgg4Ojpy44038uGHHzJ79mxEUWTLli3cddddbNiwwdR/5s/Grl27SE1NpWLz5nYpmda4ABSeO8dYd3dco6MJuvlmFB0U4DsETOzC+egVSvSCHGV4o1Q51ILaTkqWQwcVROdgdZ+VoZE4eNTiVZhtc5+2rBvVSNZHS14MhX/c0JuBwQ4skFkfikYhDQYsiUaylOz83/9MpRj+rPwuLRtpaWk888wxmpp0XHVVGPfeG2NqSWzO0S6mDZpXgris1g2ZjKaqKlrMCuIYP+D6+vaXcFGno6mqCl03UnAtRYS1153aSjqoACmTCdx55yAee2wkTk4K4uOL+Mc/RpOV9QvkaF4B5OXl8cILL6DVapk7d64hb/71TrezlF+WgsP53DkEUUQxYgRDgFnAIqQeDYuBG4EYpJFRX6SLVh/D68FIAZ0TkHzGpcAxIBO4lNtsu34oBtyA3kgip7P+KpaC41sr06VymyBwmyDg9bU3K1asYNWqVcTGxtLY2Mhnn33GPffcQ3x8/GU40u+HlpYWvv32W1I2byYa630+zClDujnGiiIVmzdTdfAgiCLBt9yCY1iYqd6GERHJgtanC+ekdXACQKEz5GsYBEJtZavQqP2y9b9i7q4TkMStcV4j1i2F5ujkciqi+oAg4FJV3uG61gRHLTZqzvSBCr9IHDS1+Bem8OLU9sG2TsAYK5vKkP7HAF9//XWnGX1/ZH53YuPkyZM8/vhcGhpaGD8+iL//fUiHNeiXIblJRDtq1VtaNqox9Q20ir0fksLJSYp/MDMlGs11erN5pj+bKKJwccGhkzLfAy1edyQirIkMSwuIEdPnZB7UFPVOmziY8eODeeutSURGulNUpObhh2ewc+fOP1QgVGVlJc888wz19fWMHj2ae+65R/pssh4GaJN9Yo03Olgmr61FlZVFU2QkzSEh3To/Aalt/CCkQl1KpMj4VDBvuN0F2gfxGVEh9ceo7mBrY9Dop6EdWzkul/C4bYUkPMI3R/D000/zwgsvEBUVRXl5OS+99BIvv/zyn8a1sm/fPg588gnuSCb9jmgGEpB+M8aLd82xY1THx4NcTsANN7AnLEzynxlKnJQhZS115WKvaGpEQKRR1ZqJV/ul9XXVhsnc9mysqqynVTwZ1zPtZ07rVNJ3EM0RLgSXJXQqtqzRiCQaLGlWuVAaNBCnhmocNa3WZkvRYeuYoYAHEP/ZZ386EWzO7ypAdOfOnTz33HM0NemYNi2Uhx8egVwuo67Ogdq4DbT0+7DdNlcZHu0RG7ao7v4pA+BoCLS0dIvYSnk1rmvczhaP2vnJV1uZLDEXHE06HWdSUykwWGJWWykJoVarcHb24cUXJzFzZjjNzTrefvtuPvjgAxoMDZx+zzQ2NvLss89SWlpKv379eOSRRyTrWZbA+ajOhYa1Dh+W1g3XAwcQ9HpqZ80yFUrqLnKkm8EYJFPwGSRLRNelnyQ4LLNQQEpJteebNabI2uNWuSyWjhXAewJD44fx5ptv8re//Q1HR0cOHTrE8uXLOXSJhfCudPR6PRs2SBUz+9O5VaMAyT1meWNtSE+neN060OvxnTcPrUNry748JLFpyVnDtCq//fS/bC1+FSnUuIdT7RpqU2gYMf5W9UiCorPg0NovpUkEqtzCybpuMnJdM8HfJXR8IKwHtZqLDXPLR7l/NKIgI6DQYO9+yGzaBC/WSZMtBCTLIEgt6P+s/C4sGzqdjo8++oi3336b8PBwFi/uwwMPDEMul5GR4cfp071Ievsxsoa3ehSXZ5kJDaC0rAzFJdSpr7Yyz16ToouhOl+DRaEYy4uCud+9sbQUpbMzzu4dFpNmtazj86juYL7lsmykmIHDFRU4OTpy1nADbNNVNOodmmLWcvp0L9LSgjh/vjd//eso/vGPYYSFubJ582buu+8+MjOtJOr/ThBFkf/+979kZmYSHBzMU089hYMheK4zkWFOZy3FlOXlOB8/Tou3N+ox7Y2w9hb0MnedCEh9T0YhWTdO0nGsRRtMlqsLbLHiUnHA/jb1RsHRUb6OMe37cggOI8L7MubOncu7777LkCFDqK2t5eWXX+all16itpsxUFc68fHx7P7wQ1yQBCfAiw/YXr8M68IB4FlFMdckHcDD1ZWvfIeyJl8ybiTQvsKxPTFuoSWnEUQ9iX0XUjJsWIfi11baq+V1stnZmaxZs0hfsIDUJUs4NuQezvVbjF6QMyBzMwqtvb/StmiAcqT365LfOu2qCCWvArzeypGC/yZL0z+vhn+6tU4dEY40gr+Q9HpPRdxL4BcVG3V1dTzzzDNs2rQJhSKZ+fPz+Mtf+iMIAhUVLuR/VovLdyc49vkFtgUP5r5SF5ZngWXdtuzsbI6fPInTZewqud+OdVTu7ngNGICmspImi9K15h+ceY8UgOqMDEQgwMpNyJJHbQiOajvOrxrpfdQbHi8CAcOH496rF1UVFXxNezNX/sCR6PUCTk7NNDcruHAhkKlTw3jssZFER+dTUlLCo48+ypkzZ+w4gyuPDRs2cOTIEVxcXHj66adxNwm+zmM1jNxjePzAYv6DFpPrkSMoKitRjxpFSze67NqK0ZAjxXr0Qyo/XWFjPXPMRaU1y4aMrgWizs3vWEiItN5ILkVwfPquxYz3BPz9/XnhhRdYvnw5jo6OxMfH8/e///0PWZvjsUmTAOm7Nr+mvPiA9RF3HdZjE16cCmvyYfuhFAAEs99jA1Kg41mzyR7cGoqJufgDcl0TudOnk3TbbeRPmEBVnz7oLAZ/9mSi6JRKzt91F5X9+1PTqxfqwEBkoo6g8nMMS/0Gn5r2g5xVFlYMW6m6VUiCwzK/7mhICIdravD2bfthdmTNsERBaxbPn9W6cTksG79YIza1Ws0TTzxBZmYmHh7pPP74WAYONOQ8Rb1DzobXOFWQQva673Dv25fAadNQBAbSYpEHLQAyvZ6oXr3ITE9Ha+jgZ83ceJa2gaLmVCN1zuwKwRMnIlMoKNjfXppYc6MYP3j1hQs0xsbiPXgwj1x3muV/sxLwZFZK5NEXYX83S0rrgCOGYwtASGgohfn5ppHgpyB17gLei4Qa/1AUCj2DBhWQleVLYaE3FRWuhIfDa6+N5803z3LggBfPPvss9913H9OmTeveif0GnDp1ii+++AJBEHjooYcIDg7GXGQMFl/jvPBwp/v5gFbB0REP6XR479jBuBtvpHrOHK775huELgSRqeg4KNQdGEHryDSgg3ULgbmC7bb23XNC2sZyJGspODquYmJFZJjznoAAzFkuMnLkSF577TVSUlJ4/PHH+etf/8q1117bbbfqlUR5eTk+UeAvQJi1QpVPtrVylKhBcRaetzLmWmOsyeHoiNjYiN7MEtREx12pO8KrNofYxE/IDJtCoWd/qnr3pmjMGBSNjYQeOIDf+fNt1jd+K9YyUWRaLaJcjnNxMQO++gqPpUjmiE5YlQ8rQ20LjXSkQOj/0v7mp9frTQkILm6gNoqMe+FFY+ru/zq3bvQGsgU4uPch7rjjDjw7icn7o3HFNmJrbm7m3//+t8mU/d//TmwVGgaa1mcxxaGJlvp6GouKaK6owNXfv51VA6CooIDQ0FBmzpiBDKmYVgvd8Wm35WHDZI0XPozFe8AA6vPyqLFSslb6U4k207uK9u1j6GCBJMdrUXbRIlNtxzpnkXz7OlqFRmhYGN4+PtRUt93Dp4ZpRa4crcoB7w+2IUS/g6dnAzqdgEajBDQolVoefng4Cxdq0Ol0vPnmmxw7dqxL5/5bUVRUxKuvvmooELeUuLg42lszHmewqGKwqGILhnoEZlib1xmV+flknTqFZ2Ag1ddcg2gls8oW9mSfqJAERx5SOu2lYs9/Zj/2Wf46oqMg0g6FhjnvCfh/G8B//vMfbrjhBtzc3Pjiiy945pln/hBulQMHDiCKMCqg1QLZkQtlXz5M6SiWRhBQTJ6M4OQEla25qRokN1p3Ueqa6Je9neHvvEPktm2E7t+PCJTHxNDs4sLfgfuNp2B4tGbZEABlfT1aW9V3LX505lYNSwuHEaNT4z9Y/21XVVbi5u6Oq+GYLm6AZdcGg/Awnyx5eymMKoCWM1LLgz8blyNA9LJbNvR6Pa+//jrnz5/H29ub55/X4efn3LqCwbcs6HXsVUvOB01ZGSovLzLDwuDIkXb7rK+rI/n8eQYOHszQoUM5f/Yselq7rtpzefe0eP2y4XHwu61um9tWSBfCQsUQ0lVTGDuomg/f32x1f8ZjLrkBdqRAvZmFd/W7AAXkN+8lQzWVe95ZzPvLv0ansZ5nYN63orqT92E0gYq0NoITkGr5T501C51Ox6njx61uuz0ggAFyL+aqpb+oKGoBPbJlmyAtAQz7uj3zLhwdM/jyS2deffVVXn75ZaKtNKS7UtBoNPz73/9GrVYzZswYFi9ebFjyeLt1zwttb/FbwJQqOJfuCY6kfftwdHVlYL9+1M6eLTW36mSbrqS5KpAqgyYg3TTsqX5rDaMlxfzGc6miojOMgsNo6bBbaJih+FDJrcDgh0/z2muvcfr0ae6//34ee+wx+l2mSq6/BXt3SC3Mp4XB6Ac6Xje1Eo4Ww4tusOZA6/w7phqsGs7O7Jg1i17R0WSmp/NzshQQ+Q7Sd34pIcy3mYJD9VBcDMXF+Ol0hE2bxlehoXDhAiKSy2+YYU3LaqJGPC9epDwmhvqgIDwoarPMXFCstCKqrLl/HjU8mosc82OmJCYSGR3NVbNn86MhENflS1BbERTmWBMcV4fAsQrYunUrixYtQqH4xRwDf0guq2VDFEXef/99Dh8+jIuLC88+K+Dv7wxo2qVfOtVVofLyQpDLEVtaUOfmEhIWhpuNoMpD+/bRoFYzfvJkPDw8kCON6M37k9jC08q8LUhCw5xP34USxQByVaNx1lcypHE9WhtFr6QfdwVag2lj+Z2SyFhtts9Q7Sl6NR9CFARWvrewTZU/Iy+v6OTkDVj6Wo0V84xf4NiJE/H09OTE0aNUmY1qzOlvaCD23rEMyLwLtVqKWHeqq8Ili9ZJ+Ig7btrDtGnlNDU18dxzz12xaYiiKJqyaEJDQ/nHP/5hMLG/Dl9Zv6WPAZ4zm8zFhVF4LOjaSXBmyxZUOTk0DhxI9cKF6J2cLmvXVzlSjY6LdF6zwBZuSD5/cwzxcr84lyNddviREbw19Cv69+9PeXk5jz76KJs2bfpdpmxnZ2eTvQPcVDDS6B8rszIBKZXw/jn41yj46kDb/azZC88HBnL6L3/B09ub1KQktm9p/UVfao3gVqFhgeEz11sUYTtnXGx4tBTdPsnJ6BUK1H+N4XIjo711IyM9nbTUVMIjIhg3sTUJwaWT7BojTUoXCvxHcKHXLPoFuBHiBJW7PyM5+XLXqrafbdu20a9fP3r37s1LL71kc73vvvsOQRA4aWgEevz4cYYNG8awYcMYOnQoP/zwg93HvOKyUbZu3cq2bdtQqVQ89dRT9OrljqlqQOZdbW5o/zifx7nqarYaXCdfnj2LIAgMGjzY6r6bmprYu3MnKpWK+QsX4uDoKJnlkARHV32Sc4HzFjf6SnkEFxzmIKJgkOZ7HMVaPn1XEiGWH6qkaY/RZHDRK20MHcK1R/FpSadOFsR9713LJ+/K+PRdSWR0RWiYIyIJLOMhY4YOZdjIkZSVlnLKhttDqVTSb+BAzlVU8H5BAS7CR6y8+xRff36WyBPtq3wIwMqVgxgwIJfKyko+/LB9avKVwKZNm9i1axcNDQ08/vjjODs7t13hq+Y2osNayO5zhvnG6SbDvLPYH1Sn1+nw3LgRxwsXaIqMpOK222gObR2efWo2Gelqx1dTCWW650L0RHKR/5a3ZpcV0tRdfF3hxfDXWLBggSnT7ZVXXvndVR7ds2cPABODQVEBlEGLTEWT0hm92S06MxM+OykJjU0WEct/B57y9ubaG27AydmZ0ydOsHPrVlosCgoeAr4yTF3BptAAnHx9gfYlATri74BLcTFn1Gpq3MLa7X+lmTXBltukI2wFQe/duZOy0lKi+/Rh9PjxrQs6MBGKQJHvYE7G3MHF8GkU+Q7mYsQMRhribs+e/aVqVneMTqdjxYoVbN26leTkZL7++murwqeuro633nqL0aNHm+bFxMRw8uRJEhIS2LZtG/fcc4/dhcquKLFRVVXFZ59JvS7vv/9+Bg78HyahEfURLsJHbdYvKynBx9eXQENqaVZGBmq1mpihQ22muWZevMjhgwfx8vZm2syZyOVyk+DQGSZ7fwKWlo0mwY1Ux6uRoWOwZgPOYnWb9Ve/2/YDNl4OOhMbQjpEJR0ksOg8NfIw3ls/sZ3IiOvgPK29H2MmgACE9+rF+MmTqa+r46fvvmtTaMycgYMHo1QqSTT7k0RGR9PS0oLWRrVTT9XHPPjgYFSqRA4cOMCpU6c6ONNfn8TERNasWQNIPU/CwozJg6/DVxbRODasHNYYYGO+pfiwnGZotXj89BPuO3eid3SkaskS5s+fz47g9gWou9ta3hMps6DIYr49Ja4dkAoUGUsz/9IulI64FMGhkMOy5rv45z//iZOTE4cOHeLpp5/+3dSI0ev17H/tTgCmGMK5tHIHEgbcRGLv6zk29F7yAuPQyZREusILQ8Hfwpz1d8DB0ZGrZs5E1OvZ9tNPJJ07hy26koViD84BAdTl5qKpkHKlzC0Z5taUE4bXxnn3AY0VFRwut16HaGUn7o2OELBR96ipiY3r16NtaWHU2LFMnTEDJycnXN60vp8GBy/O9ltCfsBIBFFHv6xtBJWdp9IzishwqezabyU2jh8/Tu/evYmKikKlUnHjjTfy448/tlvvySef5NFHH8XRsbXeirOzs8n1o9FouhRkfUVlo3z++eeo1WpiY2OZOPFzTLfjqI9wsVINu7SkBAB/Q8MwvV7PmRMnmDBlCsNGjOCkjRH6qWPHcFCpGDFqFDPmzGHb5s0mwaHFPvVkNBu/vAIeXQx6QUbywGvQujkxoGozrnVmIdKHW5+uHtX6/N8BkBMo0JwjQj4o9yCVgBzXus6gN1ufn/vHLuodAnCOi0NbUEDzxYttiizFIf0xPWmN27D1cza6UPwDApi7YAH1dXVs3bTJZp8TlUpF3NixNDY2kmJIH3R1c8PJ2ZnsTmpqRAd9yeffTeeTT87x7rs38/7750x1K35LqqqqePnll9Hr9SxatIhx44wf/Os8bZFx8qwhhCN3aTMp2BYTlwMBcD57FmVhIR9MnUpo374s6tuX4sJCkhMTKczP59PKSm4zrG8UHV0Zl0cBp5H6nnQ1JyMAKajOlUtzn1yOXBCXFaDuRgyHkXEJ4wl7PZcnnniCxMREnnjiCZ555hmzdOcrk5SUFCo1ECiD/oZTLfEZhEbpjktjOaIgkBk6mRLvAQRUphBcmgB6aUBwxwPg8qb03591zTV4enpyaN8+Mi9e/NXO38nPD+fAQMoSEkzzLG/yHf0+ZHI5jQZXr6V1o6OB16Wg0WjYuGEDCxYuJGboUMnKe/o0le75KFoakYkt1LkEUebdj2q3cERBRmD5eaLy9qPUafCoz6PELwaPfqPxPPE9TU1NqNVqXC5jOQZ7KCgoMBtUQWhoaLsg/tOnT5OXl8e8efN49dVX2yw7duwYd9xxBzk5OXz++ee/atzJZTlSeno6Bw8eJDw83FAW+qnWhZl3gYVVA0BdX4+msRFvs3zwc2fOMHjYMKJ69ybx3Dk0Zv1IzDly6BA+fn706d+f2poaDh88KAVJIgmOBFoDlSyxvMC+vB5u+ftQat2CCS5JwL8ptXXhZ1Z2YCgn13ASinz0uBt0icL47zoMg6zEZ8pFHQOLNnGm6S+4zZhBRVYWWDSXsxQcQ7EtOFxdXLj6+uuRy+Xs27WLinLbOWQxQ4eiNwSOGs3NPgYzaHlZ5w3GFyyIYN++IrKy6tiyZQvXXXddp9v8khgLd1VXVzNkyBBuueUW0zJLoQHw9Hrp8c5f4dyuQuoEO7usDNavx9ffn+GxsfTt35/A4GD0ej1arZbgqiqaystpqqhAW1eHqNMhtrTQ3NKCXqdD1OnQt7Qg6nTIFArkDg7IHByQq1TIHR0JrapC9PIi1NsbmUqFTKkkUqmkQalErlSCINDS1ESLRkNjTQ3NajWamhrqy8qIrK7mIlLFyt+s7bOBSxUcYWFhvPLKKzzxxBOkp6fz2GOP8fzzz+PTjbonvxbnz5+HZogLaW1lJAoydAoHehXG464upMhvKCXeA8gMnUxe4Ci8anOY+WAxRa4aZs6LoI8hMPbwgQOcMfjk7eEr4GY71/10qXVXitwwWm6yyHqDzkWowskJl5AQ6vOt+0lOGI67yo6YikctXpuXI7B2HprGRtZ/+SX9Bgxg1LhxjBw9mvMho3HSVNHo6GXYh4hHXR5hRcfwrs0xbevUVINnbS7VPpH4+chI/3kVqbffzsiRIzs/0V8RvV7Pgw8+yNq1a60uHz16NElJSaSkpHDbbbcxZ86cNtYPW3TXEmvOJYsNURRZu3YtGo2GuLg4AgOf6nwjAzU1NXh4tNbe1+l0HD98mBlz5zJy1CjirdS3MB5z608/ccNNNzFi1CjSLlygvLTU1LPElk86DqnATRuvvlxOXsgoFC0aIrVm0VfWhAZIEXq9QWn4NWsMXgvja2tCA4xWjmruGXUM10mTcBo6lIbTp9usc8LsuScdZ6aMHjcOFxcXdm3bRn6uZYPkVpycnBg1bhwNajXnzUYi7obP3TJN1hpyuYxbb+3Ds8+e5ujRZ5g3bx4q1eX4+XWPn376iTNnzuDm5sZDDz2E3FAt9ekOzIK/htAwcpXZ8/LSUnZu2cLh/fsJDQ/Hx9eX4LAw8PEhOjCw033ZCn52ra/n4JkzDBsxos18uVaLziAoXXx8EBSKdhdebWMjHqdPU1tejm9LC7WFhUxukio32utaMf7ProRqFwEBAbz88ss8+eST5Obm8uijj/L8888TZHDRXmmcN9SmiPFsneekqcJJU4nGwR2vulxCS04RVJpAkf8wCvxHUOrdn1Lv/mwtAG+fUkqKiojfv5+iwk5bM3aLlTaEBsB5nY6+0Cbg3fyauwYpELmdZ1kQCJ81C0Emo/I3CrAURZHU5GTSUlOJiIxkv7s766fKaFE449Bcg29VOqoW64Ncz7pcqtwjiAzwJL2ykuTk5F9dbISEhJCXl2d6nZ+fT4hZf6a6ujoSExOZMmUKAMXFxcyfP59NmzYRGxtrWm/AgAG4urqSmJjYZr4tLkedjUsWG2lpaZw7dw5XV1cWLVpEG79DVHuLhjm1NTUEBAaiUqlMI+4LKSnEjRvHoCFDbIoNgBatlj07d7J46VImTp3KD+vWAdaDhCxNc+aCw3HQIJpUbvRyjUdRKJ2DufsjyZv2XAQHZyAfmgzfglKwLTTMWR51hrWNcTiNGgUJCW0avFnDmnXD1c2Nvv37k5uTY3KL2KJP//4olUpOHj3aJp7DKDZq7cwyGTnSl5gYLxITq9i9ezdz5ljpEf0rkJ2dzSeffALA3XffjZehB01HQuNKQK1WMyYlpU2A6J0uLjj4+qJwdkaQyxEUCmQKhem5IJcjUyjQa7U0Nzeja2oyTfrmZmorKzmZnIxTSwtiSwt6Q+yN+e1HJpfj4OaGo7s7Tp6euAYE4BEURNyYMWw5cICoUaNwdXJiZnABvvUZLHzzIol2CFCB9mmGvySpxeDvBt6WVmsfASpEvL29eemll3jmmWdIS0vj0Ucf5eWXX77iBIdWqyV1/X+AtmJDrm+m0dEbjUPr4Esu6ggtOUVoySmaFc7UuQTy4H4n8nNzqa/rQgnMbmDLsnASUFVWUtLQgEdkJOXnzqE1OxcBuAN4C+m6ZbzBCDIZoVOn4tm7N9Xp6WxPTMTWLc4eq8alotfryTLUT+p/pjUVdt2XsMRG3IiLqgQnoYqoQC9IqfxNMlLi4uJIT08nKyuLkJAQvvnmG776qjX018PDg3IzK/eUKVN47bXXiI2NJSsri7CwMBQKBTk5OaSmptKrVy+7jntFiI2dO3cCMHPmTFxdzdpVdSI0ACrKyvD28cHV3Z1KwwckiiIlhYX0GzgQB0dHmmzUpgAoKSriQkoK/QYMICwigrycHFPRLyO2eo8YBce0a/tQJeoJ3nvaVKIxyRsGGbJHB1VaFxwqw72t2XD/tveDVOi1THM6T17wKEqDgmguKOhwfU8r84JDQ0EQOLh3r5WlbTFajixHQCqViorycruKI7kIH6EW72LevHASE6v44YcHmTVrlqky369Fc3Mzr776Ki0tLYwfPx6ZTMYrQ4bQYEcZ649ptW48hZRt8ltwG60ZKS1qNS024mysYRnX4YkU7BluMT+YVsGh1+lorK6msbqaKjMLmEypxNXbm63FxVw1Zgx1UeH8WBzG3GVTmFBRwbmLF0lLTbXpZrP8n10K9rhSzuRDlA+MjjSb+aTh0UeA58FtucgLL7zA888/z/nz53nmmWd47bXXcLNVROo3ID09nWYdRLiAu9kVvNRH6gPtXZNtdTuvTxuAX69n0Qkr84zOmmaNhpM7dzJvwQL6L11K5qZNNBmuL9Ykv5O/PxGzZ+Ps709DcTHfGVJzT4JVwXGC7sdu+NH95pvffCltu84gdpYsNeywDPR+Mko8BtOo9CIi0BvIIC0tDa1Wi/IS+nZ1FYVCwapVq5hlqKl0xx13MGjQIJ566iliY2OZP3++zW0PHTrESy+9hFKpRCaT8d577+FrcKf/Kud+KRtrNBoOHJBcD9OnT0cqnI1dQsO4vY+vL+5mYgOgvl5qP+Xh6UlpcbGtzbkJcL5wAQYMMNXnGAZUIoVWdDbWfWSJjI9qQhklL0apk8zI5lYNI0bhAa3CQ1kBqKDZYD9ckgyde77gjfWgicjB74ZROISHtxEb5n8wY+yGNZycnKgoK2vzmdnC3VBWV13ftqWXr58fLq6uaO1IGTQGM44d64+/vyNFRQ0kJSUx2Eaa8i/F2rVryc3NJSQkhBUrVvDVv/6Fx4QJNF64gGgjo8Yav5XQ+JTWz7I7WJY390Ly6lmKjc7Y8gBIUqGEJw/DvV7fMfdBFUGRkQRHRxMcFcWE0aMZOXo0pcXFJCcmciElheam1iZZnfnHLzdB7pD3Pxhty3v3pHRWTstFnnzySR577DEyMzP597//zfPPP/+r3hA6wuRCaTVgUOI9gGLfwbg2lOBe337wYW9NiF8KaxEhBenp7Nq+naumT6ffzTdTnJrK0V27wDA4lC8G2fcKnH186Gsosldy4gSF8fHoLNItjfvv3JjfimW8hrFNhZVcBLtw+RLeBX5G6ktkvBaLZQJlkX3J9p1Io9ITr4YcBjSeJswN8pqbuXjxIgMG/JIh5+2ZO3cuc+fObTPvueesX9X27dtnev6Xv/yFv/zlL9065m9ervzw4cM0NjbSv39/wsKel2aaCY3lWTClg2/faML38m5rOggKDqalpYVqi+Zn1pDJ5fhrNGibm1mEZMkw73DZq4NtXzwYiEypZM+uPFMQob0YvZVNIqC2/4L7MdBcWIio1+NgFlVsSRySqPajfZ8JL50OnUVwqS2MI9NAi/RLT29vau0wlwO8J94FSLEbU6ZI+zGKzF+LhIQEfvrpJ+RyOQ8//DBubm7UHj2K3NUVVzt8jlcKRsFxKaLDiLFtvLUYpWCzacsDRoHRnqsj4ecsOLu8mbwLFzi2ZQsb332XfevXcyE5GW9fX6ZMn86df/sbM+fOlaxqBmR0v+dGOzxtPDcwOBjOdlYS4EnAR8DJyYmnnnoKHx8fkpKSeOutt66Ywl/nzp3DzwmGGzI/65wDuBh+FW7qYmLSN5quIxVN8F4axJfa3NUvhjWrhjUyz58n9csvqb54EdfwcFyDg/EZMIDeixZxZsBS3MLDcfD0pKm6mrT16/lx/35O2BAaXeXlDpYN6+Y+VyANYBuQCtBl+YdyMvZ20gNmoJU7ElZ1jEGFG5GLOmLukUxxCWZxcH9kLke58ksSG0YXyowZM1pnZko3puV2SEyj1SLAzK/q7u5OQFAQaRYjKVs4e3ggd3RkktmP2AH7UgkVBpGjNbSPt2bVsMRo5TC6UbRdaaVpwF2rpaWiAqW3tYCQVnqZPV9kNinlcqJcXEyBkR1xISWFBrWa/gMHmuZ5ennh6OhISQdWI1tMmiQFNR46dMjugjCXSktLC//73/8AuPnmm+nduzdPCwL1p0/TUlOD26hRyDpJQTMPEE35Bc+1My5VZJj/wQXD885sOsvelCaj8DAy5U34v3Xw3G6Y+GbrfFEUKc3NJW3LFj5+/3327dpFZXk5/QYOZOGNN3LDzTcTGR2NHClu43Lcxl2WIokMTysLnwSfl6FObLUkdoiPgI+PD0899RSOjo7s37+fdYaYrt+SpqYmkpOTKY+GgRsAP6gOCUXj5kFwaQIO2jrqtfBpJryQCCO9YcbOX/cc7RUaRg6WlrJ+40bSvvmGptpaU0uGJqULWrWa+oICUr/4gkZDqYPLiXnTzctV9eIuYLJczq0bR/JQth9nizQE1iYSm72GqPKDyEXp3xZ7cAWwmRMnuvqJ/T75TYt6FRcXk5iYiIODAxMmfNO6IOqjNkKjo6+isbGRmupqgs2iaUPCw5HL5RSYRdzaYr1cTuTw4eg0GurM1rdXbMgcHdFWVtJiZxW8JO9WN4qpPoLh4rfTw+om7TDe9JrLytA1NrbmvnWB5ooKdIJAzFBbPW5bqa6spKmpiRAzK0qQ4fMuLrIsDWWd5WapyxERbkREuFJff/hXa0P/448/UlBQQEhICOeXLGkNBtXpqDl4EJlSibupzkZ7fs1MlM6w1miwOxh/fwqkCrr2suxN6XGK4VGgNfPJaEkzko1UEOl8QgLrvviCg599RklSEr0CA7nhuuv42+23MyI8/LI0RQQ4aB6Y52n23GA0HSiHZHtNKT4CUVFRPProowiCwFdfffWbF6VLSUmhpaWFqEgwhpE0K1yR65pJ7j2dt5tjeTDJhWAneH0EjPa9fC6qzq8UXRca5hytrERTXk5tVhYXv/2Wcec/pKGkBG19vam0+eVk5ZeXt0iZEYVSSf+TN6A+NJX77+9HtmIj8SH7UL3SAG9gmoasAaVSisGpttNC/Gen22LjtCFtMy4uF2dns9APg2UD7Luw5mRl4eDoaLoBGouMRDY2dhokNHDwYMLc3Cg5dapNjf7OWncbUXh4oPT2Rm9H5cE7gT2VrVOaGsqroaQWyrVwvKZN1/jO0etR+fkhMyuvbczjeVZ8wTSvl5VNG/PzaVKrWTRqlF3WjSaNpk3xlojISERRJC8np4OtWnlPHNXm9eTJkiVqfwfZQpeLiooKvvlGErP6Dz5o94NtTE2lubgYlyFDUNiorfDxL3yOXeW9UZ2vYw8qui42rOFO+54p0Prb62WYqktLOb51Kz+vXs3FM2dw8fRk6uLFTJ46Fb/g4MsSMNxGcFgwXAFnu+K38RGIjY1l6dKliKLI66+/TnE3rHmXC8nkvplhwwwz3oDox/cTffUXfLlhO5VOgSy+/W6CJlxLqe9A3L+5lPZp7bFHcIBUCyP6uuuIWrAAj+hoBDu+V1tywl6Z4ebtTfDEiQy6805czAaftlhl9jsZiv3vrSNkMhnTZsygrjaAEcvOM3HCep5/vhGNBj7+uK1mcnSEIYaQtd9axP4a/KaWDWOg09Chl1Y8J/ncuTY9UYwXLNGQphmH9chkD09PRo8bh7ypiXst6lUokcRGr06OrTcGM9lRBe5jpGJhRoy3buOF3nhZeAf7RIezszP9hos8cbV0DkahYXx0NnttmUkv6HSUJiYid3Xlgcnt60BafmZ6vR6ZQZS4ubvTu29fLqaltQsatYWL0Dand+JEyZVy8uRJm+XRLxdr1qxBo9HQsHkzQbRJrDZRvW8fgiDgacgtt+RKsmyoDULjvVGG6VD399WM7X4QHWG0bhhRYbuhYS8r8xpqazm9ezfvffghp44dY3BMDGPHjyc6JoYBgwd3WAZZbSPY0bxp98GlSKYWT9pYOGLkcL6rQSI+AosXL2bcuHG4urry0ksv/WZ9VIwlrk1iAygvhw8/LGK5SwoPORwntDoFtbMfFyLncvvddzNs5Ei7BhSdHhup/kVHBb2M141xs2fj2acPnn36EH3ddcy67Ta8AgI62LL1Zm/rm7cVmyFXKhk5YwZz7riDwNGjcfL3p+/ixQgdXJOnG6ZThmmNYf6l2k+mzZxJv4EDCQhIoW+f7chkegQB7roLWlrA0DTWhLHExskuFFX7vfKbiQ1RFDl37hxwjsGD28cdvCeOohkp2KYzysrKqKqspHe/fshkMvR6PZ6ASwfxDJ5eXlx97bU4OjkRsHs3z1jEdqiQOlx2RlNBAaJej7NZPENHmI+QjWJDZ/EaJFHS0Q1O5uWF3NcX14wS5KKu3Q10hvAEu2h7Yy1EuvAvQxI25ampDCsuZtyIEdw0YYLpQmEpzARBwM3dHb0hoLRPv34IgsDFtLQO32s7zAJ/AwOd8fNzRK0+Qm4HBcUulcREqSeLSqViOG0Fmfln05yfT2N6Oo6RkThERJjm38mVJTQAXI7TxhwL7QOAu4KGti3ju4sLXe8m29jQwOGDB/nkww8pzM1l6ODBoFRy1Zw57QKSjRxcKgmLbVaXmq23Qlr34FLpOc+DkyD9tyu6qK4EQeC+++5DFEUyMjL4+ONf39ZVV1dHRkYGSiUYLzdqNfznP3DzzTDSB9waSumfvY3hKV9QtO4QgiAwcepUbl22zNSxuatY3oCnW7zeYmUSdTpEvZ7kTz6h9ORJ3L29mb50KQNGj7YpJM17o3xqYZ2ydSv2CQ5m1m23ET10KBWFhVz8/nvKz56VOoHbCIC3PH8jRsEh0D33SlhEBANiYijIy6N3710m7/YMGcyUw4bl8PiNEGt2x4wzXGzPnDnzq8Wv/Vb8ZgGiOTk51NbW4u3tQHCwRZfNqI9YZjES7oz8nByUSiVe3t5cvHCB8pwc+kyYgIdFhcU44N5+/bjh5ptxdHRk97ZteCYnG126JpZgn8ptys6m8eJFXIcNw6l/f9N8pYMDwdHRjJo9m+lLlzJ+wQKc3d3b3LiMis7SsgHQPy6Oc7NnM+2mm+g/ahSe/v6tCx0ccJkzB5mbGwc/kOpk7FwsTZ1hvMHOBVp0OsK+/Ra3tDQWjRnDsPnzUVmMBgRBYMqMGSiUSk4cPQpAgOEztdeFYsQlizaCY9AgKZw+KSmpS/uxF71ezwcfGNpcfv891sY5h82mXfv3I+r1knXDcKXo6JbyWwaJAuAJeyZIE7QG/3aVJuxLuTbHWhcNV6AjO1e22WRJc1MTp44dI2HDBqKcnSmrrGTQ8OFMnTEDhw5KIW/DPuEBBvFRCbOV8GNXC3z4CLi4uPDYY4+hUCjYsmXLr55NdebMGURRZEB/UKlAq4UXX4QlS2DAAODz1umHTxsRjh5l7UcfcfTQIVQqFTPmzGG8FStmdzDesLdYWTYXEA0xCApnZ/L37WP311+jrq1l8MSJTL7hBqkcvgVtrre3STcWBbZrXkQNGcJVN92Ei7s75w8eZM/XX1ObmYlLcDAtjY2mFNqu8D5wY5e3wiTqdDode3bsQCZrr2ZlSCnmZUCWISYxMFDqTaJWq02W/h5s0606G8YPdsgQb5PSXW6l/4m9lBqyQfwCAkhNSiIvIQHvq68mZvZsyjIyqMzL41pXV4IGDOCaFSPZ9EMRe3ft4uKFC6Z9PA8Yb5/Z2B9YVXvgAA4hIfhNmcKCqVMRZDKUDg40qtU4u7nRotXiExzMiIYG+u5sDQ03/t0sLRt6V1eOTZhAqE6HTCbDycWFIZMm0aLVotNq8VSpENVqms6eRddJQS9bqJD+VAqNhuBt2yhQKAjs2xefiAhyz5yhqqAAB2dnwmJi8AsIQFlWRqKhI6RfQAC1NTUdFkuzxfIseM/wfNAgL/btKyIpKYl58+Z16310RHx8PNnZ2fj5+dnV0bSxupqzZ84wbORInGNiaLiC//xGgWENo+D41o79KLl8dS6ckNrPg6mOURt60So0sq0sA2hpbibp0CHqfH2ZHQk7c2TcdOutHD98mOTERLtERWfo66Sb5EIleHRlqOQjEF0hcvfdd/Pee+/xzjvvEBUVRahZKu8vyaFDkr9szBjp9VdfSWZ4sw7g7WjRajlx9CiJZ88yf9EiRsTF0djQwOkuZEBYG3Q9aGWeOdoLFxg2aRTlAwZQn5dHRWEh2z/9lNgZM4gYOJCJ113Hwe+/N9XLiEWK+XGmVfjKb4WWddZdc1GDBxM7cyaNdXUc+uEHqgzX/3eGBXIm0JO0Y2cxt1VvsfL8DSv7VSG5sLvaSCFm6FB8fH05feIE1VVVzDD8rm61WE+OJDgmR0slFnbrYfLknXz55QC2b9/O8OHDu3jk3w+/WZ0NowtlyBDbro6vDZM9iHo9giDlxwOUpKdz7OuvkcnlRI0eTeyiRQyePZtrVozEz6+UL9as4WxqOGqxNeXWfJyup/UCbM3Hb45LdTUln36KrqSERrWauqoqSnJySDt5kq0ff8z3b71FcGkpDjExiGa+U8uYDePr5sGDkcnlnNy+nY2rVnFq924uJiRQXVqKurYWfWUljfHxNOzezYN2WDOsoQKMbYzkzc088f33nN28GX1LC9FjxhC7cCGD58xhUFgYdadPc2L9eloMRa8cnZxMLpXuYBSV5paNy13DQK/X8/XX0q9nyZIlyOn8ewTIPHKEUo2G5gkTOKZUcpi2rpTf2qXyk2Gyh0V0Hs9RhRTceTmQ07Zmhh/t29b3svLach5A7l/LeTL0KOXFxRw+epTYsWNZdPPNjHjcm4mXWKBKDswGXtWArhs/u9mzZzNp0iQ0Gg1vvPHGLx5zBNDQ0MDJkycRBIHx42GcDJ75K1x7rWSmN58+l7UGtxtdA42NjWzcsIHGhgaGdOOGJiDFNnTGllBYGQp/U5bgXFuJq5kQ02m1HNuyhezERPzDw5lw3XWmODCjm6QB6dxvmwm2YkojY2JMQmPvunUmoQHwvEI63g2VKaw004BzLXeCdcFkKsRlx3s1Z0BMDFqDsDPPabPWHssR8AZuMZhNZ87IQCY7xNGjR6myoy7U75XfrMV8aqrUGTUmxrbYMI/X6Ex0DBo6lIaGBi6mpZl+MDXFxcSvXYtncDAeQUG8pKzHfWMBTnU1lDgDgbYT0N9HUtrGsbvljWqn+AgskVrvvrEe3BoaqP/hB3bY2N/kqgKSRBHRwQHBkLliHFUaL1XG/5YoCNRXVVFZXIyupYXirCyKjXY3IAIkkRHT/jg7FwPrHuGg8GqHVS6NtRVygIkBQAkUpaZSkp6OR1AQnsHBNKvVVBUU0GAwiRo/1/ozZ4geM8ZU3r0rNNM6aggNdcHNTUll5T5KSkoItKOpmL0cOnSIvLw8/P39ueqqq+wSGgAtGg2ZR47Qd+pUeo0aRUZ8vGnZnbR3q/zS7eYtuQb7xQYA4+/iPbMrp6X1sBjozri8N+1dKQLt+51oaVv6HDoPugYY9CokPQIpCzPxfNuB2poa7rkmltPBt9A7Yw8TvkzkUAdZJ53RDyjSwDKN5BKY6gFFoiT8HYA+cnCxZu7xERAqRFasWEFycjLp6els3ry5wxLPl4Njx46h1WqJiYnB2WU9+TgRiRQLYIn5Dc58ZN2k0ZCRnk7M0KH4+vtTbnaT7ghrlq83aH+z3mL2QxKAgXs28W5K+5vn8e3bEWQyIgYOZMK113Lwhx8Q9XrOmW0LIJe1Ht94DuH9+xM3axYatZq969ZRb5Ey+mrxSeo25+NaLmUMrQyFVYZR1Vzau33M38MbSIJqiI33bAsHBwf8AwLIycqyq64TgC/w3J3w0Z1SrNPs19zIzDzCgQMHWLBggZ1H/n3xm1g26uvrqa6uxsFBTmCgk2m+scpkVxk3cSKhYWHkZmXR36LehV6nozIvj09yjhNwMRmnOvuahnWmbGcIr5qeP7iYDi0MHr6+lPXuh97DA8GsJLaCVrGhoPXHLeh0uHp52Qymstea0VHvXBVg7W+h1+moys8n6/hxCpKSTELDnIKkJPQ6HTPmzMHDUMq8Kxi/Z0EQ6NtXKi6S00XR0hF6vd6U6rp48WIUtyvtFhsAeWfO0FhdTURcHA4WPTGsWTZ+89iNLmD+HxOBCsCHy9P+GWz/royVSLtD9X1NpCzMQZaxl692HOOs+zRSC+chXmL58CnADCAeeKkGvq+FLB2c0sEzjfDPBtjcDC2WFwMfAWdnZ+69914APv/8c8ps9H+5XBhdKNteeonhTk74Yt93ZjmyNtYe8ulCPwsRsFbOzNwNscWKYnWpLmdtkI5PLZeJIse2biU3NZXAyEgGjR3bZrHpOmh44ml47eblRdzs2TQ1NFgVGkbcyovbCIWVoa2TtfM08iDQf6p0Q+uKZSMkPBxBEMjLzW1j1egIAQhDsi7rgQkT3MjNbWbXrl1dOPKfjy6Ljfx8SWqGhDi3u5m+J95lV30LI6PGjmXk6NEoSkvR7N5t1USzr+OMK8DUkcVEZ8p2p/hIm9cNLdJIrxbJImK0VoT26cPoefO4gAMTju60KjZE2pqHZmecpLKoiMBevZhw3XUoHWznClQ2QakGmqx4NTqzbJh/zvsC7PucALRVVaTu2IGziwvXL1mCu3vXDPHLzEbXISFS2GZBN2NPrNHGqvHp7C5vL+r1pO/fj0yhoPfEiZftvK40SpDMud3NXe9tZV5nxfC6IjgGvSpNACo5PBxTyRL3s3z+3RZO1PtTfdtttHRSQbczwpAsqDcguVZC1NBXDfM18Jgj1IvwaCOktvt/vcvo0aMZP348Go2G999//xcrZ25s+Z2weTMypM+3u+9arVZTWVGBUmG/QVpP2945/UOlqY1lo6td6kWR41u3UldZyYDRo/EODERECgY1v+4KZo+j585FrlBwdMsW6n4hd8PcvZA6pmup4C6GoPqaLp6TA9L3WAyMHOmCm5uM7Oxsssys2H8kfpNsFKPYCA1tnx+wrAtBoiNHjWL0+PFUlJfz/oYNHGhqapfSCLDORpXbdSXSZCk0jHQkNkQRqlxD2CgbxKP5ITyQ6cfQGaG4u7mhRxrdRQ8bxrgFC3Bxc6N2wwa+OJHaZh9GN4pI20wUmV7HGzu+oTg7m6CoKK66+WYcDIW7zt0ip9wrmiL/IazX9uGxvED+WxbEI4lyXk6BI+XQ3KxjoviITcvGc9guUW0pOGz514qSkijZuRNXNzeuW7IE1252xQwJkd7X5RIb5laNJUuWoOjmnbQ0PZ3q/HyCBg7E3eDe+Zgrr7hXd3hPvIt39cvIBKLN5qsAB7kc56AgPPr1w3fkSIKmTCH86qvpfdNN9PvrX+l7662EzZ5N8JQpuISG0ttisGDeU8iI5e+suxYOgClBGt4YfJGje7dxoLiYqptvRmtHAafu4CGDGx3gIUf4qgk+bzIryuSzEoC7774bFxcXTpw4QbyZy+1ycvjwYfasX48CKeg2jK4F9JqPtvU6Hd4+Pjg6Odlc3xwRQ7NKpFF//6lYbYM9Vw9z86XJXvQ6nUk4DJ82Tapzg3WxMXP4cBQqFemnT1NyGa2g1vjb0dbrsj2oDV2XY+2otWSJL1KcyhTlCSZOdAMOsdeOTty/R36TmA2j2AgLc223bLU4yq6012EjRzJu0iSqKiv5Yf16NI2NHa5vFBxLAmyLj4kBcNCwrEPLhiCw4bk9bEzzISgwgFHTxhHoLbkDFg+F3JQUtE1N+IaE0FBTQ9CGDdwvq2aPxW7MYzbMP8Q9lTDNW8fakztYUl/P7NhYmhcsYGBJCacHhtPgKJlA/SNFbhwvIpfJ8Kq8iJh2lITsYr4a9AZTX17AKtqKGHPMLRsHLT6Pvxk+pxmdtCIoOHeOC3I5k6+6iuuWLOH7r782/fHsJThY+oMWFnZ1aGQdc6vGtLWzLqlzz4W9exl9yy0MnDWLY59/TrifHgyZg7ldbLp3pXH4cAnLP5hAwr3xOAYE4BIWhktEBC6hoQgKRbuRnb65GV1jI4KDAy5hYag8PPCNjUXX2EhYRgY1Fy+SkJ2N0NJi10XaKDjs+daN8RtGAlzg7bgiPnQ7zjcb87lmzhyC9u7FISPDvjdvBxPNTAfBMnjWCT5sgg+a4B4Ho4n/Xby9V3D77bfz7rvv8sEHHzBs2DBcXdtf1y4FY5VdBZJ/vzvOo3FIgzBnww2xsZPrpRERiBOgvwAYiv3O7WTYPze/Y3eFOVXFxRRlZtIvLo7AyEhyMjOlOhuG4DcBQBDwHz0aJbDz4EH7dmzlnOxl61RQ7bU/bsNY2LDMvDyBnQhAEFAETJvmzpYtNRw8eJC//vWvHRa2+z1yOWI2ui02rFk27GHwsGFMnDqV6upqfli/nsYOSoUvs3htS2iY05H7oRZQ+/ry9SEv7hvrwrCq0wjFqehKFejkDnyW15uQPn2QKxRo6uvZ/fXX3FhTY9XuacuNYkQAxhw+TKMoMmL8eKJGhaCsyycy9yDOjeXI9S3IdFpq3MPICRmLfGQwfxE+4KYwHVsP/WhqH+6L9XuuiO2LvT2f02GAM2eQy+VMmDKF65Ys4buvv7Z5ITMG/K6ObJ13OS0boiiammUtWVKLwlooeBeoKykh5+RJIuLi6DV6NGS22sDCLeJm1IDLFSJAREB0cmJ8xV+pr5ej08nQ6WS0tMhpalJSVSXy3nvnueuuWQw6uJAzG6XPXltTQ2NJCTdo8vgxvZrsujq0dXVo6+vblPJHECTrR+/euPfujVdMDF4xMVw3poWCrDO8+1YGzhUVNBh+B7YuMsb/Zkf/N2grNIwoZLB8USlD+up56SU9U8aMYahKhWPKLxNBIwhwtwOs1sBPWpivQrJuVKxg1qxZ7N27l+TkZNauXcvKlSsv23HLy8tJTEwEoBHJqjFozhzcAgKozs8n8+hRmu2s4jsOaDHEahi7ZXeGHjCvjN+Z0OgOqceP02fECEL79TOJDSMCoHJ1RaZSUXL4MDqtNXtsBxR27Zy3TJUejZlV9oxVykpKKC0pITQigppevajIzra5riCT4RUWhouPD401NZRnZJjq/+j1Iu7ucsrLyyksLCTkF7LY/Z7pstjIMwQpWRUbUR1bNYYMH87kq66itqaGH9ats1ou22g2tBQaHbHEwn1gqWq1gPF2OH/6dK4b4c+Y0/9DoWtCL8hpUjojAz72SCVujTsu7u7UlJfTrNFIpndDp9dhZvu05UaxpOnIEVrS0xmyyAn3unyaZW7IRBGHZqkbhUd9IXpBRk7YeMq9++BfkcqCAmkU9BCQDgQC5n3e7LvU2MbcVXXm5EnkcjljJ07kuiVL2PTdd9TXWeuU0R5fX0dUKhlVVVU0NDTgbNbnpaucPHmS3NxcfH19mbZ27SX2I5bIiI/Hv08fosaM4dq0NDburzBZNy4XxiZk5kHC9iAKArFV9xE/6yjRn87hwpNJ6D080Lu5IcrlbHkKfK8Ob7fdt9/uIy4uDpXKA0fHZubc68wHMz7nP2kzUfSV8r6asjoo0CWKNBQW0lBYSNGBAzh4e+PRuzeuN0+kOi2UkCEuDB8wgKq8PErS0ihNT6e5A4vXU3QsOIxxG5ai42AMQDn3eOv5SqUiKyyMawQBl+TkDvZmHwcr21o3QBIctzvAPzUwUgEhMuN8gZUrV3Lfffexfft2pkyZQkyMlVSxbhAfH48oilx9uy8n1pYTFhODT2QkDi4uOHt54RsVRX5CAjmnTrWpmCkiZdLpkKyYAnBSELi5f3+am5spzLdvqL+ctj1Dtpj9pzq6iVtaN5LMng+yOHRTYyN5Fy7g5u2NTKVCMBO246fBqQvu6Jqb2WlH3ZtB+W2P1V1xJNA2C6Yj9Ho9JZs3M/bWW+m1cCE5p06RHh9vEkZKR0c8g4MJ7NsX7+BgnL29UahUFJ4/T1VeHrrmZvao4KPBiQx+IYT4+EOcPXv2Dyc25B1dj+38nrokNnQ6HcXFxQiC0L5yKGchcxRYcaPI5XImTZtGzNCh1NfV8cP69VZvaPZGA5uzJKC9K8GYvici6YQyJHNXZHg4/iEhBJQloNBJ3ums8IlUekbS6OBJRNNhjspO89bnrVkx5n7+BFoFh3k2iqXYyKiEH81e68rL8aqDnKCxZIeMx8G/loBTifTKPyyZ4krPkRs6loLAEfhXpHJwveQ/XwU8iSSUKoEQpItPNZdWX8FoljVy8tgxZDIZo8eP58a//IWff/yRIjNrxU20tWgYEQSBwEBncnOlLsBRUVHdPqdvv5XKWC3IXIsirO2ynUthRjfqM+hbWkjato3YG29k4KxZzPj6a1jf6igwr9qqXtzWumH52hoi0g3B+DswVk20dYH7CdC7uNA8eDCery8hIUGOy8vRFBeD198n4OCgxcGhGQcHLQqFHpmsDIVCh1yuRy7Xc/58Dr6+haxc6YNC0WoFeCVzunQGmXfxsiFuanUkvJwlidWOaKqspPT4cd4dcZwUR0cU/v6EOzvjHR6OV3g4/adPp7qggNL0dErT0tAYMsZWm+3DPL7IUnhYs2yY41lZyd06HTvGjOEDJyduDgoi0M5uxF1FKZPcKO9p4AUnEHwEqBAJCwvjhhtu4Ouvv+aDDz7g7bffvixm8BMnTqDX66mt1XHsDPxnuRvOOh2Za9ZQ5e1Nv2nTGDxpEiFDhpBz9iylycmo1WrqkAqsGQNKlUBkv354enlxPiEBnR11ckTAUwDHy2zNN4oBc9GRn5ZGWFwcCkdHZGZiQyYTkDs4UJuXh7aTtNIkO103HbIfmNyaxm2P2IgD1FVVHP3yS3pPm0aTjw+MHEl9VRUxffvSv18/MOynIiuL4gsX8IuOxr9fP5INRR6fb5Y6Eju4SXeCs2fPMneuteogv2M6igS1sz5kl8RGTU0Ner0eDw8PVCr7mgMp3dyYN2MGEVFRFObns2XTJquuk+4IjWDaCw2Q/qAKIAOpCEsfJEEQOHAgY4Ih+GyCad1S3wFo5ZLVITtwIoWjhuGQcoqms2dBq22TLjnM7Lnxg7O0bBg7cxizrX8EHnCSUZg6iLzhsbipixBK9eSOHIdDcz3Bpedw0KrxrUijzLc/jQ4eGG0XzyFdaHohuYCykFIdi4Du39atc/zIEWprapg2cybXLV7MgT17SDQ0jrImNIx4eanIzeWS2iynpKSQnJyMi4sLs7rnnbNJdX4++QkJhA4bRsTIkeR00DRJbZE4pF4s1WF50sb6AtL3o0MSG8ZHGdJvwnIwoBk7FreXl6DUy1CpNAQEVOLtXY+zswaVqoWO7m+FhWp++imR55+Pxa5khMy/g2B/H+IcQKvRUJuby5ncXBSOjtJF1VCZ1jMkhL5TplBbXGwSHg1WIviTDPUzBn1peF6I1ajSiY/AQYPVQ1FTw4yzZwmbNYtPtVqm19Ux0k73Qrv9dpLq0UcOETLY0wJXmfmIFi1axI4dO8jOziY+Pp4JEzoo82oHGo2GpKQkysvLueceT+4fXkX4XC+Ubm7omppwTk8nPyuLvFGj6BUbS7/Jk+k7cSLl2dkUJicTUl2NrrkZJw8PvPv2Jau5me07d5Jpp6tJB7wowtNWflOdWQzsidlICoXbDIJDWVKCiygid3Boc3PXC1I9UXUHNUEui8gwxxCbYulKcXd3lwLhBYGqigqTu/gEMBDIKi8ncf16IqOjiYyIIDIujma1mqILF6grLaUyIwN1uVRj1y8qitqSElo0GtP1/qQOzqzMpR5wczuPKIp/rLiNjoI2fimxAeDp6Yk9Tdzdo6MJmz2bbFEk4dQp4vfvb1exz1JkqFxccHRz4+vmZm7UahG1WoTmZgTDdvZEw1cjiYAIaNNTw83fH2V2I86N5aZ5Mp0W52Y1Q1K/pUA5gnKxDzFLp3Bx+HDqfvgBfXk5C2hboRSkG41RZLjTKjIsmQ8kz7maqvAIVBeb6L11D4411Zy49Q5KKwcQ/KNUDsdzSD5lN/VH7eyPNUeJO1L/ijTgZ+AFWq0blrEbIlI3RblSiVylknoZiCLqykpTN11L6wZAanIylZWVjJ80iakzZhAWEcHXF7ZDs9moJLNtf3RPT+kOfSli47vvvgNg3rx5OG23VhXg0kg/cADf6Gh6T5zImw25uIYaLn7VhhU8aWuKQnqd0WRbaBiR0dp51Vx06JB69PztwNWMHh1IZmYYJSVeODo20atXCb6+NR2KC0uSkqp44IEYPDw6TjZ7tJv1bixp0WgoSkqiKCkJuVKJb3Q0AX364BMVRe/AQHpPnEh9eTmDUlMRz55FMFy81xksUE8Zni8xCg5orRBm+BObCw5lcTF9jxzBe84ctjs4cPH0aa7V6brUZK4zoWHkFgd4tAHiFODOu8AKVCoVN954I++++y5ffvkl48aNM3Wg7g5JSUlotVq0Wi2Lh2dxGFAXFuI5cCC+Q4dSHB9PeksLHD5M1okTBPTpQ8igQfhGRuJnsBA2NzaiMmSeVKWlcfroUTQtLSYxa+vnY7S0lXVDaHSFTw2CQ1tXh1ajQW6R5p94xgXcob60lFjDvJNI5c3b1e+wwpbQrgWHGt+bWgYu+lYX54TJkxkRF0eTRmPq1ZN07hyHDhygXqPhLDACaWAqZmSQmZFB5h7LlAApXTwH8DS8T/NrvjOSq7sRKd05MzOT6Ojodvv4M9MlsWG8oXh4eNCme4KxQZfZjcgvNpagKVPIbmpi/44dpJv1MYFWkaF0ciJo0CA8g4NxDwrC0ZCGGY4hfUmrRVQqEXU6nBsbqSkrQ1FSgqKkBFVWFoJZtz0dUqEVF6TKiuaXih0OcFoODvl5CD8bZi4AlbYBtbMf/CQQtvEkwYoECoaP5GL/wQy46SaCNm9u7bxjgTvSn97W/7fZ0xMmjaMuKBjfrEz67NqBokVLo6sb6EUavb1Npj6ninKcUio5ddIVSweVERnQXzptPgGuB4J8ffEKDaUyIAAxIAA8PclVKpkqCNSXleHq52faXt/SQl1pKbXFxZRlZDAuJ6ed4CgtLmbLpk3MmDOHvw/rS0KUL4N3fcvKxFrJwhF1nGVZx6XnmXfh5+eIn59flzNZjBQUFFBQUEBgYCDX/HTr5atQZYauuZnEzZv5+61LSJ52DSM2foZioFmwmqXQMOMcUlXCzrAmOuomw8svn0MQ8hkyRMOMGeEMH16BQtHBFT/BLH3c+NWF3MWMgVshpOtCog+du1KM2MpE0Wm1lKSmUpKaikyhwCcykoA+ffCNjuaonx9znvwrVbtS4eRJBIvCfG0oNHu0Ijgc0tLw8vLimkmTSHFy4oMDB1iE/em21mI1rOEswI0qWNsE921YCTesAGD69Ols2LCB/Px89u/fz9SpU+08cntOnz6NWq2mb9++PDDiDACV587hFxuLX1wc59LTwTDi12m1FCYnU5icjKO7O35RUTi4uCCKIvqWFsqzs6krLUWDdN2sAC4gXbyN1ziFQmHqPGq8pnhaiA17hUZXMlI+DQUWwQeN1Zz1VHLD1a3LlI6OtAAN1dWmnimxVvZxuTG+TwXgExjI8NhYsjMzyc/NRSaXSxVYa2roN3gwWRcuMKCD3+wiJPe5kQigLjsbj759cfT1RVPeOnANRbI663Q6zp49+8cSG5chHaVLYqO+vp7w8HBD86K2VfeWZWGK11BNmYJnbCzJVVVs+u47aqyMel19fQkfOZLAAQOQGezCjdXVFKem0lhVRY5CgVypZJxSibuDA6JSid7VFW2vXmgjJbu+rLoat82bURYX04RUFl0J+NNe9etUKur9/HGurGyd+SN4F2VROzaY/GEjCD91AnlLC+EnjnF9USHH515L4fz5hH/+OZhvZ8D4+duKsa4aMYLGIcMISThD7327ULRo0apUJF67ELmuhcj4g6bzdKyvp9HLG72Xl429SRj94yEyGVuuDiDSaRIDwsKkG0VTE5SXU9HUREtzM5q6OimISatFkMtxDwjAPTAQj+BgwkaMQF1RQcipU/yQnNymRXKTRoPbDz+wvXA0gRMncnDCzTgWf8uyrNY/FpnSjc/ZWUFZWRnlZn+6rrBx40by8/OZPbsRT1tFU4CddqTzdkR1QQG9TseTFTuRi2Om0u+nHTZHhhlmhhxrQuMnpNLj1jCKDhG4dyx8nhVEbm498fEnOHfoCw4OgrkTYMQAOrdsmP5iBgFSYFHHphPx8aghbsN0bg4OKJycaKmvR9/Nltj6lhbK0tMpS09ne4uc+x/wxFk7l8oRI2DYMEhNhePHETr6PXSgHpyOHUPn68vAUaOIKi7m+7Q0JmGf4AP7Bcc4BexugaQ8GGSwbigUCm6++WbefPNNdu7cyaRJk5DL7XMXW3L69GnKy8tZuXIlWw1ZVqJeT/7OnUQtXEjsokUc/eqrdlV+NbW15CUk2NyvgJShlolU3Tg8IoKRI0fi7u5O8vnznDtzhsLS0g6D1i8730LzbBAcRJRmdxTjOYi/kTtBANw9Pamrq2PX1q00NDaarB39+/Zl5pw5RPXqRcnGjaaAUGMjxASLR3MaCgvxGTasndhwR6pTk5KSwpkzZ7j++ut/mTf2W/Bri43Kykpyc3MZMsTw10/6yHTVXR0pCQ736Gh6xcaSUFrKpg0b2qRS+vj6EhQSwtT+/VE5O+Pi40NdaSm5p05RlpFBi5VOpBNoGwwpKhS0+PmhjYqiqU8fFG/fTPnfv2RdSQnjgVwb535YIyLo9TRbZEwEnU+gMjyCrAmTKY/ujWtpKSpNI7KWFhyKiqgbMICq2Fgiduxo50oxGg1thWuJBhHV4OVF5qSpaJ2caPD0BAQCkxIJuNDqf9U6Secl2Bn81efB+dzoEsgH3x5EfvAgo+vrKa6tRQBG0jaArw2CgJufHyFDhhA0aBADZs7EMS6O7MxM8nJyKCos5HrD91B67BhatZqw2bMJnzePtE8/bbc7o1m/xs50PHNqamrYvXs3AAt278amScfATkPWUXdFR1jCMdSePpRFD8B9TAnBR892az8R2LZ4mPc+6TMsjntn3UxNTToX9q7iyDk4niRNAd4wexxMHwOendVUM4oOvw7Xskl/f39apk/HOTAQZDKaDd9VXVYWNenpqPPyQK9HR8eZVZbIZDpkQgXjL3zO+mPRiKNHIw4cCAMHQkYGHDmCVGPRAos4jomGINKDr0o3CJc9e2iOisJ56lTuzMjga52OSqREIntuWwcN44KORIcgSMGiLz8OrwSvRHGjZN2YMmUK27Zt4/z58xw4cKBb1o2ysjJOnjxJTU0N8+fPZ6vZsvqcHHK3bMFl0iSGzZ/PyW+/pbmD9H9z4pBiDLy8vbllwQK8vL3Jzc1l3/79RISFMXTYMJycnfn+hx9otPAA2WvVsNei0YZF0Fwn2XiVZj8gmcFlK1oEGdnjQrkcODs5MXbMGHbt3k1tY6Mpvk4AMtPSOBsQQOzo0Uzq1YuWdHvtf5gaWQpmbjYNkAxcI4NTXl6kpKTQ0tKCogvVXq9oLoPFuUufRJ0hg8Stg4qTcgcHGkSRAYGBqJYuRSYINDU14ePra/KBeur1FCYlkbJzJ6X5+dQiqXVrWA6ChJYWlEVF0pSVRZbjfLaM8ObqrSX0AjZZ2cdTAFot7gX51ISE0uDljXOVdEVSNTbSd+8usseOp97Xn6KhrSlLjXpwycjA08ZIw/j527JseB8/jlzQUTowhrog6Z14Z2XgUlFOxLFWB4YIFA6Wbl3KzEwbe2uluU8f0ulNn4YM7klO5itDacReZuvYtASIInX/z957x7dVnu//76Mt77234+y9JxkkISQhISEECKvQtHRAyQc+FGhLJy0dFPhQSleAtsywM8mCLLJ3nDh2YseJZ7ynbGue3x+Pji3Jkiw7hkK/v+v10ku2dHR0JJ3zPNdz3fd93dXV5O/cSeG+fSQMHUr6+PFEjBvH6HHjSAIcVistVVUcuHiRoRMnisQvHxeNIBt2mv3J5z6wefNmrFYrE0s2kTKih43nAjt7+Gw9QAKyD+2iKTGVoilzCC2uIrTKy2TYA0YiyIYn4VCIRjoQ+048px3TCDLnMj3rdZamQ1ML7DgEn+yHqnr41yZ4fbNQOeZMgEkjQOdrBeGNaChKh1eFo6MzSVRlMBAbH09DczMtxcVow8IwxsURPXo00aNH43AmLB46eBBHL0ij4sipkuD2yUW882YRpKQI0pGdDVlZFOpOklm2D7XD4yrxkjiqhFRU7e0YDx+m7brrkCdO5J6DB1kPfIzIgQqUEPWkcsSrYLQG9n0bZt8uHlOr1cyfP5/8/Hzee+89Zs2a1etEvxMnTiDLMnq93k0xVNCYn48mKIiIOXMYt3w5h956qzOXqifMiYsja8UKDEYjp48f59iRI6KJZUEBVdXV6AwGEuPjoaZ3F0hvmpd5g9mhQpIcbsqGynmCXGsfnL5gJlAUF0dZeTkNDQ1IdK8UK71yhTsHDcLi4R56qod9O2w2OmprkWUZGRE6uYJoEGh1gM1mo6Ojg/z8/H4ro/6P48tWNtzIxjnnQOfUlFc75drG/HyaIyKISE4mITycCpuN5qYm2kwmGhsaqKyoILm0FIvJRDPih4rH+8nurxkZwMy/VHDHozuZOm0aacbL0N7ere5/+MKFtNjtaKqqGHryGE0pqZy+ZSXDNn5MmHOiCa6rZdim9dhVKiwhoViNRhwaDRWNbWiamlA7maxrQtAVusiGL0Fa19hI9u5PGbDnMywhIWjb21F7DD4OlYriKdOpGjqcsKsVNDU00HTrrajr63niwgV0Tl8TV1hTUoiKhYzD+2iQZe5ClOimAqtcPEcUrxJfKofNbKbs5EnKTp0S3WKTk7EkJKALCsJms9FusWBra6O1tJTaEye87iMsTNRj9FbZsNlsfPKJWPMtS+1hYy/oDeHY4fKd6DraGfrpRk4tvp28m29i7L9eR+tFUQP/0r2v59KBjHVqTjgWoaWdwbEb0ajMYIfwUFgxD5ZfD8fPw7YDcCyv6xZkgOmjYfKYMOITB9JoycBkjUUtWVE3WVCrzRh1TUSFFBMRfAWtpqc0cPG87JSINUFBNObnY3KWNRvj4ggfOJDwgQNJGj6cJJuNOL0eU1ER1Rcu9DgBNjdDeDjwf8Ddzuu3rAyprAw5Ph553jyOJoylbng2OZe3E9Xcs1W1QjiMx4/TMWoU7RMnYjhzhuUmE7uA1xGl2IEkjgYSTlmshV93wCyX6oHZs2fz1ltvUVpayunTpxk9enQA79aFEydO0NTUxG233cZtQUF486asPXECfVQUiaNHkzx8OGVnznjZqjuGz5+P3WBg26ZNnXlwykSqvnwZdVYWSwYP7kY2tqi6qxt2oJquhPolIfDjJkHCBmphmg5CA8yRtabrkQolN2VD8lA2vixFow3RO6jNYkGn0RCq1+OqHZmcn6nGqGdLH5pRSpKEISaGequV44jE/Ql0TabDhg2joqKC06dP//eQjX5Ar8iGsnoNCwsTWr0HrgA4HHDAd5/OWEQdSz0i0Snb4yBuBB5xTg7eylpd8aulkJMtkx4biy0hAV1xMTPmw0+ddrm2qCgahg6lXa9HZTZjOrSPgTu3UTZmHCdXrmLoJ5uILbzQuT+1w4GxuQljs7PqBijyEdVIp4vs+SIb2c4RUSXLGLz4ijhUKk6vuJ2O8HDCKsrI2fUpn912G/aoKDqGDMERHOyVbNgSEmiosHLio7rOgeYW4GAQrHLZTjE7u40eJmZZpqmigiYX23EZUeuvmPF0q7YxCLIZLosvoDHufj9v0B3Hjh2jsbGR1IJNDJsQ4Itc1I1A4EoyXBFWXUHW4d0UTZlD/tKFDF/34TWt6kBwbuU7qpaH0UYUaaqDhOm7f/EqFUwYJm5NLbDvJHx2BApKVHy4N4a3PwghMsjM2Hkmpo2TiI4MxWILwm6JpMmUytWG4UjIhAZVEhueT4L932jS7un2PgpslZU0ffgh6mXLyFqxguKPP6b1yhXaq6tpr67m6uef05CYSFN0NMOmTydryBDMLS0UHzpEeW6uT9JRXQ2uLs+33dlVjSJVVcGbbzLtkfFc1k6jOGUmDS0lZJbtRSU79+e3LNZO0IEDtM2YgTUxEX1hIXMQq85XgLu4Nq8ZBVEqUQp76tQpxowZA4hkyxtuuIE333yT7du394ps2O12jhwRuWsPPvggN/361wBeCcfVzz8ncsgQxkyZgvHcOTdjL/DiPxcfz6WwMI6cOdMt4V4Czre0sCw5mXPl5SxwiNwhxcjLlWgo13YNopQ+Pwn0KqFUtcpQ5YBcK/yqWSTTXq+HSXrQebtIVoj9WSwSkiSjHRsG8wywo5obb3aw6RisGKzijj0BfHleEGhFig1Rw1fn/C4SgJunTSMiNZXd27d3Egy372BAjggfupiknQrgmBrb2th28CCmjg6G4l7xCLBsWTW/+EUtp0+f5s477wxgj18D9IOy0avark5lo3qW2+O/8+/X0g0WxImehXe281yAK1YVMM35t8Mphe1zEo0Z88EyYAASELp+Per6ei5PmkJoZQU5O7fRER5Bc3yArVJ9IN5JJnyRjaIevpeOsHBMMTHom5oY9eF77BsyCntkJEG7d6O/dAlrVhayl/I7R0gIquZmJJdOlTFAY5uXltp9hDKupOO7rBe6nE17G0bZvl38UPMTA0iU9IEd8e43z8f8IfncCWIvFVCfmkXphEluzykk8Vcuj53xcVOeU74jGaiQR6MKtZEy5HiPnyF8Hiy+Dn71cBQPfmsxU6LGESvL2C4VcfLoVv78t/d4d/2rNF/9K2Mz/o8JOa+QnfgZkSGXae2Io6hyDscKv0FhYQIWi7iaFGOv37k0RrReuYL9/feRgaxbbiHaYwJtrqxEffYsJ19/neKDB1FrtQyeN4+p999PwuDBXo+9pgZiPcI7t7mMrZIsk3r1KGPP/RtJdlAWP55Tg1dh1vbc+G/GY6A/d46ov/4VfWFh5+OjgRsQCkcvhx2fWKaFj3491u2xuXPnIkkSBw8e7NW5ffHiRSoqKsjKyuJfiYkMQfj9eHMNsXd00HLlCtrQ0G5lo16hVjMrKKhbS4GZztt1skyszUZKQgJFajVWuqsZbYhKFjNC9o8HljnXGJIklIwBGlhmhN9HwLeD4bIdHm2EtSYotLk0tAN4HxySBqvVjiQ50LkwEoNWkKcOh/fAl0UW+9vZAf80wf+1wNPN8MNGobC83AoftcMv4oRG1+E8/hYEsWhAKOMFCA8iM6KKMQeINBgIT0mhpaqK6XZ7t++hPSqK2oED0bS1ERoZycXkZPIiInyGi3Hu/xyQV1PDqAEDuGH6dMK9NHBbtCiNtrY2CgoKsLi2Cvg6ox86sfUtjHInnTRFIRo5dPei8IUqBPP0dgoqddjPVfWscMwGOnQ6zOBWAguCdGQ9FMZZQHflCurGRqSHV1AxagxRxZcILyvtTGDqK/TO66rnlE7v0FgsGBoakGQZm1ZHx8iRaC9dIujoURyRkdgSEnAEBaH2MDiSbDa3pCulCd3fr407dUMgQ2wQ4nzr6Oigo6MDg8HQ00uoq6vj2LFjaDQaZgd6zAEoGq4EY5XLOfOWx3soz/173zZMA2K5vGg6oVcriSwV6cXPucxiCuFwrY5d6vK3p/gdty6R8qA4EkLOolV3wOPOJ572csCTxV3bjVGcXnsHoSfUfK96D4llxZyT4bMDsH825BeJ29q3YcbEBm6Y1cDwrBPYHVqqm4ZS2zSQ8vJhXL0aTXJyLWg0bkRDgbWsjNK33iJz+XKS585FGxLC1f37QZZJR1y/FpOJov37O/vKpI0bx/DFi0mfOJH8nTvd1C9XZUNRNBSy4Uo6gjvqGZ3/NpdSrqM8fhynB9/GqPx30Ftbvasb9wKX4bpXupI9XZHt/OreRyh516pKpapBq4ZLly51uuDGxMQwduxYjh8/zq5du1i6dGkPexE4ceIEDQ0N3HLLLVzYvh0dMALIBcYAbleHJGGMi6P96lVsXpJEnYaYXairowz4v4R45dTpBlNdHSNnzaLu7FnyysqIAqY5xETdghir0ugxF7sTSRq4WwN3BMEJq5j8y+wwQQtDtJCmhrANWmxLHEiS3GU4Ny8OY6GWtn1WDgSriB0LzRaoPQi1DmiSxbiRqoZMDYzSik69YRKEqQQRqbBDuR3yrTA/DF5r7jLLU+71iEWr55yXOHw4NrOZSmd4aovHmk2y25FlqAsLg6VLSW9rQ+MsHmirqKD+7FkaCwpwOJ1Pq6Cz03Ks1Yr1+HGCFywg5667qDp4kIazZzsVwIdD/knqjBk0NjZSVlZ2Tc7KXxl82QminWEUl6v7cX0X4QhE5XYg2Km/8J1COBS4dnTtBpUKLBbwkoh14UoQDARVWxszl7Rw0GGlKTkFU0wMlrAwEvLO9XC0/qEMHD2FUXxB12YitLaGq0OHUz5mLFEaFWZnC2bJOfjIQUHgSTY6OsTjwIw1zgdfcN+3MqH6cmZ1DXT5c2+9QteqXfFsWOvyuSRJqBu1iOqSQMjGp59+iizLTKr/mPA+5Gv4wyov54m3xwDuKbNg/MsG7ltzJx/NX0zTv/+NHIBzpUI8PKef7HehMjUaaiHqn5fcq8N/glfC4VCrOX/jYmx7DAzZuYnYiwUgwUgJRqrgO0/DgdOw/SCcK4Md+8QtPRnmz7Qye+ppEjPOUN10liumb1JSEkfUfffR+umnWJzJxhfp6izeUVPDxddfJ3nuXOImT8YYF8eVjRv5u8XIPKmLXtrMZoo+/5zSkyfJnDSJlNGjmXDHHVw6eJDLhw/jsNupqYEBA8T2tym8/W53oqFAJdsZULoLg6WZotTZnBm0kpEF69BbTe6E417nfYa488y7UMjHOMTLDgFTur9d57aBGn3dPBE2/iqbh1/rWrbPnz+f48ePs2fPnoDJxsmTJ4mIiGDWrGMoAdoQYAhCoh8FKA3i46dORRcRQZ2fUlc3wmE2Q0kJLQkJ1ESGE+TMk3JdtTc6w64DBgzAXlZGE4JkGBBjrh7v5Kwnbw2NBBN14tYhwzELnLXClmy4OkbH/s/yMBgs6FwmJYPBjlqtxWDQoFdDdjhMXg7R2yDsVg9F833nfelLAOhSH2SgM3dEwd4ABSZJpSJt4kRkh4O/5eeh8aLfP9TQhOrPf8YYF4c+Kgq1Xo82LAx9eDghGRmkJCWRNHs2Zdu2cTo/n1rc8zIazp5FrdeTMHUqKfPnEz9lCqbycjpqa2m5fJlJkxo5ejSKy5cv/3eQjX5A35SNa3jDDkQxXB3uLpaufy9FEI5VVd1XpTM2Of/YCfteAFmnA53Oa8lo8vggLtdakOx2JCC6oZDqwYOwa+KJ23ceY1PjNXwSMCSD+tK1hS5Sjx6masgwrkyaSlBtDWNGlnP6uCBIAA6j0evrFLKx7wVBOGZsAr7ZfWI9gJgclzrvvTmHHqA74ZARK6C5uE9WOXRHhCTIRmNjI/E9hKZkWWbnTkFJ5/Wmb1sv8zUCRXttLeve2sHYhQsJuekmWtatE3lHAaAb6fgXWNOCIRN05h5Ii3NpWjV4KK2xcaScOCqIhgcMM2HOIZgzEcqssH0vfLYfrpTDP96Cf74LU8bJ3LByCOPGFVBeHovq7mFcDA/HfPEirTt3kuNiuJYDXGxro2TzZtJkmfBBg0hfsgSH41Ovh2kxmSj47DPKc3MZNHs2mZMmETdwILkbNlBdXU+3ztxKWKWG7hU0NZBSdRxZUnEpZSZnBq1kVP476OKcYQGnotGJfwMeqSgKedhXL5TNU16Pupf4KwyX4e87cStXHDt2LBqNhsLCQlpbW3tsP2+z2SgsLCQ+Pp7hw6PdnotAEI7zQLpOx4hp04gZNw5zXR2Ve/wnNHQSDknCce4c7UuWUDlmDNm7dwPuyZ8t1dVY29uJzs5GvXs3UXhtWu0VgZp5GSSYrofpTlLZ9PM0fvSjOAoKTqPVdjGI4GAber2GhIQI5rnONB5dl4FOkuHzfwApsI68hrAwpgcFkXT6FBov1/Jq50MOqxVTeXlnwrQCtcFA5NChxE2eTFlSEpjNjCku7pZzUH/2LOaGBhKmTiViyBDCsrKQHQ466urY+u9/Ezoxnct+ush+rfBlVqPYbDbMZjNqtRrv019gOE5XoojrpOf6tzI5QhfhmKHMYd/EvTua03THM4wCYNUGkZTUxkTnRWHsaKQ5LJkQUzUZBz6/hk8hEOyMA11L7DiosYHE3NMUzpyDQ60mpKiaGSuhOrqN88l0K8sCpxeHh9nQKhfnPm+GmMpjvlJ3PQmHg66Tw5VgPO5FrYkA2LKJpqd6MveG/Px8Kisribm8iTELEEHXQNED4fClYPSEV/PyuJSUxIrRozHOnEn7rl29er3r+WrViqtD7fCid/3Eee+icNRlZBJSXU3KMT8dkycDRWJlev/tcM8KOHwStu+Bk+dg72HYe/hDEjMHs3hxGjNmZHL2hRr0OTlok5Jo2rABm8eAKtvtXNm4kUd/p6O6OodXb2wBtvs8hNaaGk68/z5ZU6eSOWkS4++4g6tXXyEqKsDGCC5IvXoUh6TmcvJ0LqbPY9jKDYJkXPaysRfCoSAE4cPTZ/y1609JgpFpcPqPWsY9LlYPBoOBwYMHc/bsWXJzc5kyxZeGIlBWVobNZiMxMZEfBP8VJInkOXPQR0Vha29HttkYFhrK8YoKDre3k3X2LG0HD6K2WrtNZGqjkaDERHFLSKA6KoqE0FBQqZAkCZVHu/auRFCZ2sJCojIzCY6J6eznESg6CYcy2f+Pc4J/32WjFe73ZnMwNpsDlcqOa5VrUJAVSZJpb9fA83HwP757pPA/D8LzXgiGC7bIL7EwAMKxNjyUM4DBS4Xc6gDWEfaODmpPnCD3/HlUgwaxePlyrM3NdNTUdPY80UdFoY+KwtLYiC4iAnNDA7LDgVqnozEvD0NrKy0dHVzshX/HVxpfJtlQ7KiDNq5H8vHGgSw8A63n9iQc6cAz8U7y4XyjGWtg20HnpOtF2ZAllVs2U3zNWUJbytHssBHU2L2JVG+QPRuOVAEa6PBltBEgsqy7iD90BoshrCtTH1lon96yJ+12ZLWa6WucJkgveN+vN+FXUfZ91wt1vjs6up9jz5nhEQ/CoSSJBlL+esYZQ52UKPwZusG10Ys3p8k7EFaxHugt0fAkZPt27eLmhARKxo8nqawMq8sgIQO7EQ2bfOk22YvEfVizYE+NEWmEtPoYXJ2qRkdoGPXZOUSUlqD3SPrzB40Gpk0Qt+pa2LEXdn4OlcX5/OMfbbzzThGLb0mj9OnNxNxwAxG33Ubrrl10nBS22Uo4LAf4dMTHBN16K9qRI8loauLy4cM+31d2OCj6/HNaa2oYvmgRV0tysFjK0Gic19IjXl5U4+UxIK3yEM0hSdRGDqSmMIdYTf8Pyl5DKH8FvoMb0VAwbTDsPONeaDdq1CjOnj3L6dOneyQbxc62BpmZZykCYsaOJXrMGOxmc2cCqMNiYbpez6UjR8g/dIhWRFg5FFGxkhoXR8rs2aiDgjBEO9URhwNzYyOXr1zB2txMbn09tcePs9ZLeGCLCuouFnB2xAjuHpjDd/vi7OuqKjz/Eux3meBXdN9ckA0rKpXdrUGnwSAhSXba2pzTzPNOGcwX6QiAcPiDQriuhok6Jb1TiQ+EYHhiLLC+vZ2VZ89yKTiYJZOGckCfgtoZJra1ttJcWIiptJSO+nraq6uxuSiIWuDEzp0McnaN/drjyyQbbU5Z35/y3d9Kt6v8D3DFy4QiObN9ZS/Z3FqriTZjl12YvsKEHpPI9ukHhKnFZG/m2kxx1J/bCZtaDc1dF6HVGAwdMO66Ns55pJbIej1xiRZC/rd37+M67isqhjd1aSoikczXb+1JOBIkSJMJqD/K2bNn4fwmhittdDy7yLnC23MViFnfiVUBiBCe55E3/Nxup+PIEQbfdRdNHtKr4sr6OUKSHo1Hop8LIusvo5Lt1MYMIKXMS4dZ5wUiAxfnzEWWJJJOe/cwcYOPNgtxRXDnY3DHRThSvoT33y+moKCJt98uQj9UjerVV5l8881EXH89kkpF+3FRIdPJ1+x29B9/zK2rVjFgxgzG1dfzQQ+rsaqCAp5838GF52I5feY2Ro96B6Ox0X2jHtxOJWDg5R0cHX4fRfrZPLew0G1h8Iwf7d9b0qgn3IiGJ7HwQjQAhiTDX7a7h1JGjRrFm2++Kc7bHlBTU0N0dDTbf7SJbECl1WKpr+fypk1YmppQaTRuE5Lyk8o4yzbVas7Gx5MWG0vH5cvUnzlDW2Ul7dXVyF6UW2US9SQd4RUVMB9M9w2AYX56AHhgi+xnovdCMhRY8uzYbHZUKjsaTRfZ0OtBrbbT3q5Gll3WTStwV0pccS2Ew54G6hK0bW2weBTPffYZtX2sAdiFUM2+mWqDiv3w0X52F0OhszqwJw+aKsQ5XlZWhsPhuKamfv8tCPgbUMqtgvzMqF9ASN1tgljvvAW/0HV7rK2Nw8APg7pPjbr6NmxWPfarav+TWh9hUInVuQPR7U9Btr7n5FA3eMnQtOiCoAO05SZmzIYZzlDQjDshfmQQ/87rfeOzA15uviDjm4l6Kht6hE18T/1RbDYb550tsofFIBJzrgE9EQ3lfAH/RAPgmeBggubMwVFfj+xFoQlDeMBEA1uBI3T95o8s6tpOYzcTWV9MU3gKlfHDfL5fTc4g6jOyiCm8SMyloh6Ozg+cM5ZKBZMnx/OHP0zimWcmMG5cDGZzKbF3tfPKm2+yZe9eWkeNQuclWc3c0cGGDz6gymymdv58TnkJ3XnivhEXGTu2BIslhLy/LUF+pPdUW29tIdRUybH37ag9rt8nAyAUvhBoUqgnJAmy47sUCoCMjAwAKioqkN1qPrujqKiIurq6Tt8FSa1GFxVFcFISDrPZjWi4vS8iFDkmI4PJY8awaf16SjZtovb4cdoqKrwSDVd4rtw1VyyoVVYslp6TtRX4JRo9wGwPxdZqRdXU5lb6+ofrGrmab+bKGSsPGD2uKT/kpbfYIqexRU4T/9jTCMo1cOytfeijen8irM2EH6eI8S/D+djvisXt8UzQOhw9Eo1WRE5iOMJ35Vo6Yn9loPNzCxD9omwocfyd/VX43gu0OasHoqKiuDchgX/W1HQmiwa11KIPjcOsDyWovbFP+1dIgzfPDL1KZGlrVMLaPIhekgwFXjI0rVojRlNdZ6KhXAETvxFKky4EizaYNlPPNts9TbD+YEfUrysFeTf62VbpLtnTRVVYWIjZbCY5BCJ7Xij6RSCKRqBQqVQsWLwYVUgIpq1bsfsgTRIi9JCNqOvfjgir1Fkg2uWiy7mwE8uwIIoGzEZWqUmszEVy9lS16fSUjRlH2djxaCxmBuzuJ4qeDfAPpI5vMXx4FMOHR3HpUg6bNn1M2SKZNmsu6z6rRhcVRZ5ajexMmlbQ3NTEnk8/Zd7ChVw3Zw5bN2708UYCa9+E9PQyYmNPUDNpEPW1GUS3FXffMBafoRSrxkhrUBwqA50lhq5wJRz+lA7XpNFrxeBkKCgoICdHZCoZjUYiIiJobGykrq6OmBhfjRWEsnFq0yYU15b6M2eImzCB2HHjiJ0wgZZLl2ivqaGjpoaO2loc1u7x1xURKg50dNCIMxcqQHSqHE7VVq9pQqMJLHN9SxQQ/SDUeSEc+3vOkTA7QnHYy5CQ3XI21IBss2Gz29GFhrJa8p2zsXZNQIfaRSr8QKfrQBsWhraHhF5PKFU/vyoT5cp3Z4r/H8+E7xWLW0+QEUnAQxCeHCAWYVF9ID6+sHXrVh5++GHsdjurV6/miSeecHv+ueeeY+3atWg0GmJjY3n11VdJTxc1hY8//jibN4u250899RS33XZbYG/6VQuj7NDDPD+E4wBiwO4n3ylAeDY4HA7GTJzIuEmTINNBx4ubmZdUQJmtA7MxnI7gSHey4a0kowe4kg7lb4MK1E5lI0YHWdda8O8CU2gMFkMYOksbdknF6Yl30BKeiCTLmB0Gamt8jOD9BJnAZa8I531PZOOcMx40IgbxpfUVAboRKjkrPZGuKTNmkJyaijk3F0sAcrkKMbe/pIMDMvymEFKNMCcaRoSC3tJKzsVPyR21gosD51OWOoFgUy3WcgPNDyQjq1REXi4m9fgR9AGEnnoFp7MrHd8iKyuMH/xAz6pVDjZssPHDRxsJstnQGI2YWls7W5Qrp21+Xh7JqankDB7MkOHDOe/nu7j3TjF4REae5M0Px7L61BA+GuhjNPYgHFtNEPJdSE4dh63SSMPr23tcvT9Z751wuKoYvc3R8IbBSfB+fj6LF3dlXCcmJtLY2CgSm/2QjerqalrpShi3trRw4d//JnL4cKKGDyfa6VCqwNLYSEdNDe21tTxkaKAhMZPqiBj+kBXKHlsNF/uQVrbamVR03+fxaG0NbJHTWCj5ak/pJBrXCLMjFNnRwekD8NMh9YQBa+Vc1IzA4SQb2tBQtw6p3Y77BXG/1q/C8vuAjufhJBMD7wGzl07d3qCQjLszwSpDKe7+Jp4kQ4cwpvSGEsR4GEZXqLW2tpaBAwcGdCw9wW638/3vf58dO3aQkpLChAkTWLJkCUOHdsWWx4wZw7FjxwgKCuIvf/kLP/zhD1m3bh2bN2/mxIkTnDp1CrPZzKxZs7jxxhuFI3hP+KqQDYdaTdXgoTSkZzBKVtNaW4u5pYWmykpaqt3ZrMS1zTOeMHd0UHjhAkajkfb2dtSNCahmzWJqRR1Gk7ha24IiicLljOkl0XBFtp5OFUKvEuzdDrRdaycjF8hAe3AUxjbRQOjisBuwaQ1E1F3GXqnjTy2tXMjP75838wE7oNVoiE1PxxgRQWl8PEN0OmZZ2mg9dZyQurrObcOdn7unBNFq57mQFoZoyHANeEsFqwI4kXoiGgMGDmTshAlUV1URt7N3KoMkwTQJppbD+cnwWR38owQmRcCcmComHH6VK+mTqUocTq0xB1W0nYiTpcQUXSThXC6qADr89hmGf0CHaNAWE6Pi/vt1PP6QhfHjxnH27FkutbZiRZyyarq6YR7Yu5fMAQO4bs4cyktKfLpnKguGoOBgtm4WYdapL7hvc2CNyz/OHA5Zhh3n4UeDdORfHoNB10RrAATPEwGHSv6CMLcIEGkxULLffXJOSEjg/PnzVFZWMmKE946BFouFpqYmghGqVyyCyJnr67m6dy9X9+1DHxmJMTYWQ2wshpgYjLGxhOXkEJaTQ0EQ6E0tSA4HYxsreNsOL6XDg4E6JXrgyNutXHefGN69qgHRXgiIp7oRgKrhcIBd1lB8VlQlKQuU1dIIVIgOqVarFU0AoTnxOvGeXklHdAnU9axsBCeLZprt1b6VFAVrM13+WQonr0L6Zbg3MzAlwxVtiOI6pfuCQjbqXMbKa8WRI0cYMGBAp3fH7bffzvr1693Ihmun4smTJ/PGG28AkJeXx3XXXYdGo0Gj0TBy5Ei2bt3KypXeapH7H70nG14m1NybV2AOCqY9KopYBwRFRhLszKRuvnqVK8eOUX3hAlMdDvbTv8oGwLZNmzr/dmRlMXH5curiskkoE309miJTSClxScLrg7LhDYqyYQVMRsS32Q8L1bbgKKxaIzFVF5GBmoRBBJnqGXn8fdgDW/qTrXlgKqJOPSgri9CUFEYMHozdakWt1aIFajtMXB06nBEff0BkqRgJI5yv7UnZaG5uhvObCA+0F4o39KLHQk9EIzIqirk33khHRwefrF/P8F5M/q55K5IEQw/D0LlgccChBvh7CXQ42jm7fhfrbtiFQafmB59I3VbwL/cl7BYoOlWOMOA2akzrWDTPxM1Ll/LJ5s3kFxTgQJjSKe3l29rb+Wz7dhYtXcqSFSt4/+236fColFGu3/SMDOYuWIDD4aCwoKBb/4+pL3gQDuBsHaSGgOlfo7FN15OZsi9gXxMFARONXpAMBSoVhJb9iaamXxEeLuqsYp2e7P4mjdraWk5v2kQwwh25GI+cXlnGXF8vVtsufU1UOh2GmBgqwsJ4LNpMUEsDOksHE/XCOGttZleTy96go7aWz99IZMwYFSrVFzdgWOVgjn9uxOpM1HdVQ5Uwil2W0fnpFO4Nq6UHfRMO8Es6IocMQbbZaC7uxRf3MHAZ/vyO8ILyRzS8qRpK+GQwXc7YihjQGoBRYKAoLy8nNbXLCTElJYXDfirIXnnlFW68UQTBR40axS9+8QseffRR2tra2LVrlxtJ8Yv/iLLxj9fgO/d1Pi4DrTGxODRqJv3jL8wwd3CzPozQ2FhiBwwgYdAgRixejKmujpPvvw9eGpL1J5prapgWDR3t4egsbQS31tIUlepeLdIPRAO6cjbMWtHACBBdeXpLODzyNRqjxIUUUV+CVReEQ6UhuKWaabvg9LUedA9IHz+enJkzOZ6Xh1Gl4uLu3TRVVmKqr2cTZi5Nu47yMeNojY3tJBuKCNfU1NRZh+4NnaZwhVybM1w/QKPVsnDpUjQaDZ9s2NDr3i6+sOYTeHkRXBcN928WE/nUbRCEnWREDxvXAfl7Ts39iyUdzYAgHgfkvWRmZ3PDjTfSUFtLXV0dNnAjHQUXLxK0cyez587lpmXLWP/BB1icORUqlYq4xESi4+OZM2cOdrudXdu3U1lR0WmZ4jrHexKO9UWwajBUhQ1DozYTH5vLMy3wZADng6+kUX/5HH3BgARhXa40ZlPMvPxVW9U4w5oGhBneMUQ+T09ZAxqLBVtFBc0VFTwFvOxcaU/Tw1smmG5wX30HSjzaKisJTk3FZIokNLQXK+top5rhLX/DA6ungzEhlJy7wOaPbNjtvc6fAD+EAyC6hNX1sNZDtWlrC0Gl1dLgYjUeKL7zApzEv6MyeA+jlCOG/giXx8T8fLZz3Puy8cYbb3Ds2DH2OE3j5s+fz9GjR5k6dSqxsbFMmTIFtYdfk0/0g115wNUonWTDI2tcAtKOHMSh1pB30800JaXQ0dhI9YULnNuyhX1//zslx45hjIhgxE03sSQzE5VK1bk60uv1xMTFMXT4cKKUuvJrgNlkYn8dWPRCtouoL8GqNWIKdVl39XQ2+cJU99dqJKFsyIDJVa4JTDH0eSyuZMOiE9/3H86I1WUfFmtuGDp8OGkZGYSGhbmVY4VHRHDvzJkkjRxJe1MT+YcPU7BhA1eOHaOxvJx5ksRfR0+icuRojE2NxOd1Sd8aSXAHWZb9Xliddve98q11QS9UjZ4w94YbiIqO5sjBg1zpzQqI7tU4Cr632f3egOjbMBWxyq0F9iMIYxXuPXW+9yUlVzdIFoZt2cIItVokxdKVVK4MO3bg2KlTfPjBB2gNBm65/XZmz5/PjUuW8M3vfpecIUPIHjCAS4WFvPnaa+T1EAZRwiuVJmi3QXxMFDIqYg/koVbZ4Y/X9pncSMgol1sfERfuXlkVHBxMfHy83/JFJYSoQwyqg4F8/Ku43sZvZUWdroFWB5R6pLK4yf5+YKoU1K+5uXu/2dV+cjiAgIkGgNYZHrE5k11dvyEljGKz2fpENqArrLLah5mX52eprc3EEBtLi0vzPl9Y65H4WY0obe9tkWoHIs9jgOu+9fCEUw3oT2UjOTmZUpdO4GVlZSQ7w0au2LlzJ7/+9a/ZsGEDehdbiB//+MecOnWKHTt2IMty4LkkX2YjNoVsGL3YZyeePYMpNp7qwUM4s/xWfmY28875Alqrq6m9dIkLu3fTUlPDsAULGHPLLVQcPMiA7GxUQIzT77iluZnioiL2fOrdNjlQGJwntc7QCqMg0lJMOWOpiR9ISItLDK83oRQf5MQug1YShKs+BXG2enutr/fxsl+bWktDTCYhLdXoLG2d3gP6Pl6srjAajcyeP5/2tjaCQ0KwWq04HA4cDgdGo5FIoLmqimMffEBjWxuD09KIzshgbGoqmsREALSmZrI+34uuw905MgxnN8amJp8JR83NzdAIYQl9OHgvROMt56gQSO6GKyZMnkzO4MFcKS7myIF+krk8oBAOEOdHGMIeREakq1xFGGsFA4kIxeOLVDleN8Pdzv3aS0ux5uYSM3IkiUlJVFZUoEIMsjJ0Kh1FxcXU1NWRkpzMuHHjiI+Pp7mpifz8fNqamjD5IJan6T7XT31BEKxgSaIt43puzohkwIrP+u8D9kQu/gJ8N7BdxYbBRZd4v1qtpqqqym+Y0JVsgPi9QxAxfG/edP6gTH7fT4Y3W+GJiF7uANFMDKC5OQYvcxGrnQRtrTdVSFE3Nvje/1qnAfOPHhUJs1ZF+VKel3O5TxL5LZaODgx+Emt7QifhcDnm1T5UrurqTBxWK83OvkA+j9+DtN2/BgrpyrfoCcrvbEaETwbSNZkqvaNCALZcpnVC/5GNCRMmcPHiRYqLi0lOTuadd97hrbfectvm5MmTPPDAA2zdupU4l34CShludHQ0Z86c4cyZM8yfP7/fjq0n9JpsBNcv6b4Tq5XB27eQeuwQVUNHsDs5nbHp6ZhGjsQky1RfvEjxoUMcfuMNYjIzCbbZUDc0EOxwUFBXR2tzM5OnT6e5qYkfOPf5Yi8/iDLWhERH47DbCTbUgBUitVfQGtqoGjyMDGk/0kWXtYYnEfCiSNjrEQ4vHlDPFmRDrxIx+6sWvA94p13266rC+iAwtfGDsKu1xMvnYDxoacfY1kBIZKTbZ+1LOCUyKgqVSkVTUxOXCgvR6XSERUSQqtHQUlREeUkJ9ZcvEzdwIMl2O+NuuEG8sKoKy8WLLCkpIr7gvNfERv2dQAN+Wyorzxn62d+mN6Rj5JgxTJ4+nfq6OrZt3tzteWWi9aUa+lI1AoUERDpvMoKgVSIGuiBEvP9bZrFgeFkJ7Y/s+/u9bnb/+249PKiHl3NzGTJyJDmDB1Pp0slVQry3jFA4WpqbOd/cTGFhoSiXdTiw0bOq6kk47IgEugULFxKbnk5cSx6Rf3TOqhF9/3wKntwFz8zuebtAEHNbEQddSn8VRcPuJ6dHUe1cF3oDgKMIIun5fQWiSv+5HFKmwufFIpyiIJA8DpvJhLW5mcbGBGRZQpK8ayyuk7Yb8agTzqGKgtG5zee4PZaxVKwcPMmG69+W9nY0YWGojUbsvXDK9QVfROP70a2s/DCS5ovHkXuRfyUjztchCM+gnvDymq6/95ZB3vvCf2etx4uV5WF/KhsajYaXXnqJG264Abvdzv3338+wYcP46U9/yvjx41myZAmPPfYYra2t3HrrrQCkpaWxYcMGrFYrM2bMACAsLIw33nij07yuR3yZORsdzpWswc+vEVxfT9bne8gC/qwOojwjg4jhw4kbOJC4gQOpLSri0qFDVFRWdkpWSt+NsPR0hloslNJlf90XhMfFoVKr+e4rDWxYCSocJJzPpS42m8a6FCIpdX/BVHzP3KPwSjQU2Jxkgw4n2fC1D2X/rmTG8z2d29WPTMdQ1kCcIw/yxeD/bryJ8IQEVGo1DudF1FvCcS8QpFLR2NBAal4eIae7Xn0YUGu1pIwaxeR776Xd4eBqbi6XDx+mpqiIqZWVIMsk+vrtz4Dmt+JPm58SRiU+eC2N63yh2dFV5egLg4cOZeb119Pc1MTH772H2UWdUVrJNyBCHRMAzwXhI8pk5kMMeTkKvtcLrwdF8QgDBiHMgCoRLUJ0wJJBwsLacxC7Fijkw+EMEwT5qBKQgNCgIEaNHYusVlN59Sqtra2YWluxmM04Ojp6LL5yJRzNKhWjRo0iecgQqouLWf3cVmSHyOd48ufX/rl6SzTsLgn46nfdn4v9PJuamh93Pe88bx1+ElkVsuFKIjSIMNpFwLe9m39cPgD1DwDrYbqLqBwI4WgsKMBiuY6GhiSiokRvHH8hlNX13ZUOT3LhST6MCQm0O+0HJNwL8iQE4bCbzTgcDoISEmjpZcgyECifKX7KFE5vaqfRJQHXGxRV43vFIvfiDKJ6KJAgvivRaDLDexdh5/chWItQz1wQ4vwy+pNsACxcuJCFCxe6PfbLX/6y8++dPqrqDAYDeXl5fXvTL5NsKEl/soz4dXpYbcltbTTl5dGUl4cxKQnVpEnEZGcTk52Nev9+Lp04QY5LAo8mOBiVtm+fyHUFFZeVhcNmo0FZrVkh7moBpZmTqE4cSmR9qfso6I9o+IDaObDZAV2juKgqy8Be5mXbQJPXToM5OJTaoMFEXbmErrJrBVBbUkJUSgrRaWnUuFysvSEc/wIeNBgYHhlJpYcTYtzAgQycPRtDaCjW9nbO7dlDRUEBdrvdr5mXK9TOZYy/AVlh0V8E2QhTuROOvzpvic7nswYM4PoFCzCZTHz83nuYXAYAk/P3fG6XGHTmI6zJCxE9EkJxIRrg3evdid4Sjk5IErGJiWSmpyNpNNSUlFB45QrHgZ9+E2aMh+njwDixxz114nU/eSDhVit2q9V77x0gOiaGm5YvJzQsDIvFQmxUFGWVlVytqhJOmg4HzbW1tLe1eX09iEk6PDaW2IwMzjU0MOW666gvL+f4hg09ujD2Bs/MDlDZ+AvYAzCDCzHglnukTBYGg29HzubmZkYtzuCxbZe5zmV5L8swziJIrKJN9ibXTgM0/Q3O/RZ2/BauM8AIHUT1oA7mACVnznB60wT2PR/H5fXdbcvfRrQackWnahBAwzNNcDDa0FCanTk7CtlYK+d2biPhJBuy3C9kw7UtkuexB6emItvttATQafV7xVAP5CFCIN0zW9zhSjIU/D0X7hrsJBpeECKLBUtP3YK/FuiHBNGAyYbC7u2uY4Qf0uGqTrRXVHDxo48IjYtj4OzZJAwYgC44mKiGBupPnABZpqOqitABA0Q9di+Mjlw5gdZoJDIpiZrLl9kXb+08M4Nzqglqq6c2fiA57+xEhb1fyjrsMmijQFsvIiStdM8+t9cHTjhqsgYiIxFblC+WQwMg+AjExReRMHUq8VlZbmQDekc4gtNE4qlSf66LjCRx7lxIT8dutVK4dy+lJ09SYbWiQ7iG+jGAFBB91Tqb0PqTmuPi4rBqoKO39hKBJIbOpFOFcvVvqgSaU1K4sGgRGywW1r/3HvmNjSTSRTI8EQTMA8qcu7xrEDTbvCS2+lDFekM4VFot0ePHEzVmDPaODnROp8HoceMwvPsu7RUVlL4MzwKPAt9+Cm74LQyQXHiC8zfobbhFq9GwUKtlq8fjqenpLLr5ZtRqNXs/+4wzJ092VhlFx8ej0uuRVCqik5MJMRppaWigzWTCaDQSGx9PbFwcsfHxREVHE6FScaW8nESdjoK9e7ly+nS/Ew3Xe3/wRTTsK93VDUnCraKqrEysIlxLDj2h5Gx4ZitJEnyig9/bodEemEzvCS3wwF1Q+mc4aoa/NgtiHRwGO5u92/scAtQNDRRu3kxkXBzNej1as5nt4KZAeCMcgSJi8GCAbi3aXaGQDZvZTMTgwVQdDLxXiyu89F50P3ZJIigxkfaqKp8hFEXRWF0sSpMbED2P+tLF/HClCL9MSnR58Lu4qRvBkqhSqSm6hnYE/0UImGwoq1J70mfAnK4BToEf4qG0dWqprub4unUYMjMxpqYSN3UqEcOHU3PgAC2FhYQOGEDYwIE87+xO2RM8xQfL4MG0SBJVRUVMLYMDKeJx6TTEagu4Mm4KjUmpRJVd7nnn3rLcPGCXxWASEgK0iqS/Ad62C5Bw1GbmoLLbiL7szKR23lVXVdHa0oJh4EBUu3d3hlIUBEI4JEmiesAAwlpasLW0kDBnDkGpqRhiY7mUn8+FPXswO1dzbcBqulZisXQlFwLdf3tAHTseKvyHUTo6Omiygbm3yoZi59cD6QibDc0eE0prUhIXb7kFQ0MDP9yxg186wwemNc4Naujsm/PIbKFugBgkUxFt3QfUwVMmmBoGi2Mg2LVazIdC9rLz9/ZHOgzx8aQtW4YmJARbSwtN+fm0lZWhDQsj6YYbiJkwgcqdOzGaTGQjJPl9v4I3gan3wfWvw0yViM693pfmkq2tGKKj+R3wuPOhmNhYFt18MwAbPviA0itdrlKyLFN79SoyEB4Tg91oxG63k5CSwpTJk93K6Nrb27GWlFBYVcX+3FzCmpqo99Jb5MkX+nDcTvREMAJRMXxBkqROgqVk/6ekpPjcXgmjhHuZ+eMlyJFgjBYmqfpYeTRSnI+p4bDcJfL1u+au8dUTNkBvsxGWmkpJZSVXL1zATleFjOIe+xawqrfHI0nEjB2Lw2ym0dnvSMFqaUSnuqECbLJMfV4eyRMmEJKeTqvLOdVbyB63SzgNCIOC6MjPx1RS0ukX6EqqvhcHr7XAS7XidUkI9SeQ9DFPVcNkhTfy4empdAuduELv3L/FYnFr7ve1xJcZRlGSpLpNJme8/303cNA5ACp5GcpFEVpcTFlJCbVmM7FTppC6dCnWlhY0wcFEjRlDYlWVW9KaN7jygNPO47tnwgTMZjNb8/K61UFHlF/hyrgptMQnBkY2/MC+S4RSzM4FWphTkfdFNgKBQ5JoiUsgtOYqGi89E86cOsXUGTOwjRhB7qlT3XiQP8IhSRJPzJtHZGQkttZWch54QHQAvXqVy+vW0VFa2mmxPMD5OSJ6c/ADH0KtPgT4VzaMRiNMWUx71Saf2/jFzJ43cUVbXBwXbrkFWZJI27WLkMrKridd5RpnuUDwm933YXLOL9Nl2F4FPy6BbA0sNIj7TrhWhLc5/0+Cl31U4NVmDOCtaTdia2+navdu6k+edFuRGWJjiRw1ioHf/S6WxkZsJhOWhgaS7HYGNTdT/8kV/mSv4gmbTOgg4e3w1vPwxv8E/PUgFxcjjRxJeEwMf62theBgPp0/H7vNxrbNm92IhiskoLm2FgegNhqpramhtKSE5IQE4hsbaaqupsNJXNsRpYG+4uHPrOk74fAWOukrwXBTN27difrwJ9jtdjQaTUDKRnNzM2y57LOse7kK/miHiZKoNuot4egkrR7k9eVM0SRMgSvx0ACO4mKSFywgdupUfnHhQuecoUzWDoQp4b8QE+NyAqvcD8vKQhceTs3Rozj8LDCUyb7m9GmSJ0wgduzYgMiGq5LhcLkp+1RuB4BvAdrISIJjYigpLsYO/ChRbC8Dz1bC69VivhxNH9SlfwP30EksXrHBChWE92DiLEliGGhFkO/QXhqbfaXwZZKNTmXDboeBO+HC3F6/mUI66gCV3U7t4cM05uURPW4ckSNHItvtRA4dygKtlo0ffUStD7vZUYiERrvLpDxyzBhCw8I4cvBgV0WESzg540IVD1hk7o4NsO5yFL6XDE7U20CuE/E+E9fWub4tKgaHWkNotfcGa7mnTjFu4kTGT5okrMqV5EZJQqVSdVM7XDFl+nTiZsxA0mjAbqetvJy648dpdkmkUn6bZoQUfAiY4roTL2qGK9TOpA1/ORtK7LLBfxuMfkFHZCQFK1bg0GoZsH49YaWlPb/IC4I98nBakyHXCu+2QYMDFhhguh50ritahXj44Ms1mTmcn7+EcWYzw3Zu4Ufnu294dfduzHV1BKenY4iPxxAbK5pLOQesuBkzGGixUH/6NBcOH4aODm78H+HvMJzABlT54kWkkSOR5s5F3r4d1YIFzEtM5P+2b6ckgLi3CrC3t9OByHFoKy/HhPtk5Zqr4AlPd9H/NFwJR3p6OjabDavVSm1tLVqtlvj4eJ+vVQy/fE3UcZIw+Torw198F2z1Gt8rdiccOZ4b2GwcLCsjIysLjVbb6YehTNbKyl6pPnofcf5k43/BETNuHMgytT5U6M+cZa/K/jsaG2kpLiY0KwtdRAQWP2XEDo+bcpxavIeMXgWq4swcz07kmYpk9l24wAZDVwlxopfX9Abfq4eXnUTjhHOYva6n7GgnjPz/ZENBwEWInTkbyqQ28KEeX/PyC94ft9HFcmwtLVTt3s2Fv/6V6s8/x9bUREZWFjevWEGIlx8nNi6O8UuXMmf1aibecgv5BgNJKSlMmzmT1pYWTh0/7rZ9cL24Wa1WGurr+Xt4QmB26RehuUyQCF8ZJLVOrqPU0Stkw+trgvDbxa7FSYJCq692HnOwyyrGYjZz5MABQkJDuWHRIiSVivRRo5i0YgXXP/AAWePHM1ardfM0GgXcMmkSN15/PZJGQ2txMZfXraP4rbfciIYr6hBVQgru3g53+0vudp4HarW4+vyFUQYMELpP/nf+5meH14aw2WAOC6Ng5UpsRiOZW7YQ4SVm2uyiYnhTNHwhpBxG6uDJMHg8FK464NFGeM0EFS58L7jMefNYiTYkp5M/dzEacwfZB3ZROHM+37rvDv636JfuG8oyDWfOULZxI4Vr15L/4osUrl3Lhb/9jSvvvUft4cPY2tqImTCB8XfeycKZM7nFYEAFrEOQxR7ntOJi5D17kOLiUN1/PyQlIZ84wUNnemCWLlAh4t5JiMmqFEFYQayYLfQtJu4PvsIn1xI2ccf1PPTQQxgMhk5VIzk52a+pl9J+3t+AeosaPvgCnMO/Vyw6kz6e2f25XwK1NTUi38aP14WEGJN1CDOy9cAVvJuSGWJiCElLo6mwEGtzs9dtFOcHZU6WgdoTJzrDL97Qjogc5yNIhkIwtHT17vGFhJO1vF9jYsjw4RiNRoL7v+iFVhn+KcPdap951d2gkH5zL91M/xvR+wRRux2l68RqP3HitS/4fs5Gd6LksFio2r2bLJOJqsWLSUxOZuHSpRw7dIh/2e18Lzyc3wwahDU8nONhYVjNZkKiorjvgQewmM3IDgeb1693K2f0HOirr15l8LBhxFtCqNb5KUfyQgo8V2wAdU6ykYYQQa7iTjKUv8OUUK/vxH1aY8SqafRF363jTx0/TnxiIgMHDybk3ntJCgpCZzBgt1pJHzOGnClTKM3NpfHqVcwmE3GZmWRPnEhEeDhNeXlcevNN7H6qB0CQjQDd8t0Ip8kkvgxvpm8KFB/+8x4x3v6EWR9M8cMrsbSHkrFtG9F+GtYpJMN0Z+8Ih4JoNawKgpVGOGKBv7cKJ9kXW90Hx+B6MEUJQnnuhpuR7A4G7dzExZk3YAkOwaFS0/FiJS/LD/E96U8+30+227E5c25MV65Q/fnnhA0cSNy0aaR+YwJlo0cz9vBhRhw+TK4s8w7itxyF74WJfPQomM1IY8YgHz+O7OzM21MZsSvUiNyWaoSSUUGXPB+J90lCUTV6G0LxRjT6j2QAt7qXDRY7E7L95WtAF9nwNwelS+L7KKR7Ium1QlE4PAnH40DN76r540ciH6fKNZToA8ok344QNIfhPlHETRQlUbUeCztvUL4PB9BSXIy5vp7oESOoOngQe3s7DoSzbhmiqGAg8Aa9mJickGWZA3v3Mu/GG5k8fTq7duzo5R56xt/scJsKIgMkGgB6SRxbez/4i/xH8WVWoyg25U1NL7Fa6vmHXL1G3K99AV5f0/X4QQTZ8ObIPgXgxAkyp04FSWJkVBQrbr6ZSuApoF2WCb54kb3r19NcVcXoG2/EEhdHm8nE0YMHqb56FZVKRUJSEtPS06nQaLhaWUlxYSEOh6NT6tTr9QTXeScbJueyvtlLGasnapxhlmzgU8RKwCd8zPEKIbrBYWCgFdqcxxgeHs6AQYMICQ2luqqK0itXaG1pYecnn1BfV8eEyZPpqK3lyPvv01pfT/KQIQyYNIms8ePd9h9SW0u7RkNjXp5PohEONCHIVCQwB5dBM89566EGtrZWkDylaZU3DBw4EJVKxaVLl+iwgyFAW/5AYdUaOTN+Je1BEQwq3UVKTG7nKtsfeks0lNCKks+hkWCqXtyCysR3pwT41IjBO7ge5k4czaMaNYN3buLKxBlYDUbiCvJoSMsQ4bPoj3skHOCiWMgytQUFNF+4QNzhoUhTpyJNn45u0CDGbNvG8KtXOY2If49w3rxd8PKZM8he1AzPruzeyMdx4H7EZ45z7r+OLpXPmxlyZ/gkwscHDAAK6ehXouEFSl+JMR7t4T2RlJSEBZBk/DKOGSr4wC5CFf2N7xXDy16iGkE5ZviIXrWDkBAhuUrEbzwasUrXR0URMWQIprIyTGW+B8lVCHXDNUwDUH3oEKkLFxIzYQLH9+6lAhH6uQF4JhOCi/vePDv/3DlGjh7NsJEjGVpURGsPLqK9wTIzTFPDtF4aEuplkU/oT/H9WuDLzNlIc5ZNvnDPDvxfdu5YvcY9r28KgiQZ8bGCttuhrg6MRpI/+oj29HQkWUbT1IS+uppvu9S/n/rkE9RaLafsdjRaLeMmTWLMuHEYncQoAairrWX+woV0tLcTEhoq8jn8aGDB9VDpo4KgWzw6GSgXWeLKINuI9zHUU2XxhIToL7DqvvvQajTo9HocDgdaF++RK8XFHDt8mKMHD+I4cQKbizRXcuYMpbm5RCQlERwejiE0lB80NLDNYCDs+usx++hYGe5yXwpk4uNi/wSfhEOWZWprBXOP9jOgGQwGsrKyKCwsJK8NxvZjCNOm0XNm/K20BUeTUbiflCvHIQnC7uy+rRJCqUQ83xdVA7qTDnBv2a7EwZVW7sbQUN6ubUY9bjYhoaF849I5qnMGo2trI2fPNrGD6D/5JRyeoRG1Xk/sjBkMuT2J/E9bkevqkDIzUd15J7oDBxh/8CAjEQ2m3gamI37jvsCTfHhaO0t0JYJW0pWA6MopD/wcmn/e9f+TwDO9OIb+dAr1jus7/6qurubMmTPodDqmTZvm91WVlZVYAUcPM+UYSYwRVvpl/O6G743xIByjw+ioC+PGxVoO7O1dh0iltFQPnEAUG6ZNmQKSRNX+/QHtw1XZAIg5f57aUaPY39JColbLVKsVPU5FpqlXh+cVO7duZcWqVWQtWcLldetoD0DJ6QlWhBr1eh8WR2qnsvH/k41ekI309HSgbx3U735B3CsKx/yRsMtfWNhoZKDahr62Fr1LQyRvxo0anY7JY8eSnJZGQmIibSYTxw4fpvTyZdrb28nIyiIjKwudXo/VamXvZ59R77JPT/R0aiqEw+KACouYTOIQZYnngSJEDLvb66L8E47PduxgpsNBfEIC7W1ttDQ3k5ebS3NTEwlJSWTn5JCZnU1yaiojKyuxHzuGXFTEWkSZ6lrESd1QXk5DeTmvOvfryMlBp1aj8ii7UtQMBUMRoSBXXUT53RR4hs3WOpcrzc0WrFYHISEhfo2PQHj7FxYWsqm2/8iGXa0ld+xyWkPjSC0+Qtqlg34bUngjINcCb6QDuuLgIAbb6upqii9fxqDXU1dVxcmkJMZkati8bRe5HS4ya/SfAvLqCEpKIn3xYlCp2HtSjTrJQLQs4/j0U1RjxiBNmoRcXY2uqIhJiNX0Z4iY+Cz6L5fiVYS6oSAKYcPejiiecNW6mn/u/tp/9+UNLwI5X7yq8dlnonfL1KlTCfbhtKpArVZjhR6t3CUJfqGBtTZI77cjdYcn4airy2DDhyYu98FQSyEcw4Bzej0D4uMxlZXR6iXh2hvP0iLIioxQMCplmRPbtrFo+XKCw8Iw7dnTSTR6WpAFgvq6OjZ99BE/WLGCxLlzKf/kE8x+xvtAUIQg6CHzAtjYw7yzs7lhL+zT/1sRMNlITk5Go9HQjnuCZ2+gTF47X3PveNkNQUFom6sYHAX5zhPQk2hEJieTNmIEyYMHk6HRINfV8dKOHZw/e9bth62rreX4kSN9OFrfMAEn94jISBbCYTIbQTaKcScbnUNUEN3K1lxhMZvZsWWL1+ca6us5f/YsUTEx/GrECFRjxqBKTUWuq+PbJ07guHCB1c6YoGfLFYczhyUsKKhbIpeb8Rri83jTJZSQWLfHnavvZoDFGcQE0Gxp0aJFfPDBBxxtgeI2yPSTNBsI7Co158bcTHNEMknNp8g07e2zDHut8KxccYUKKC8uRqVSUdHaSlVtLZJWiy4vj6KLF92zcp1QCIeidLwsP9T5nYekp5O5bBkA5Z99Rv2ZMxgTEpBvvx3bhAlcfOcdclatImHBAhx//ztYrQQDNwEXgK2IXI6sfvrsroRDCamUIE75SMR44Wke1ieioeAiqFO8u/b2B2RZ7rR9vv7663vYWoRmOxBlvj2d0nNV8HNErtcXda5+b4woZ83MjmXxskE0NlZTV+PXns8n1jqrXdKnT2f/mTMEFRcTT8/HngMcQTQrSwcKEL4Ys+vriXQ4GDptNBOrjoC5vV+IhoJ5ZWWUbthA6tKlZKxcyZX336fDR2VjT2hDnMMB29jMxY1wyDJERET4zWX7WuDLrEbRaDQkJyeLduq9fBPPyUqv6oppd0NUFGi1BDXU82q9IBmuRONb8fF89957ueOOO5ialUV6fT22TZuw/vOfPHD6NC9cI4NMJLBSqVPOeyWkpAzannUP6tlAjv+JKFD8orYWx65dWNauxX7qFFJYGKoxY9B997uoZ8wAtdrtuxocBU866hmsBV2C/5Lf9AfgW/d3f9wX0XCFkv2SlNRzf8vw8HCWLl1Kyq3fYV3frv9OOCQV50ctoSEqnXjTOQaU7OzT4G3qZ6XDF8pKSii5fJn62lq0wJQpU2ioq8MK6OrBWN99daeYg7kSjeCUFDKXLUOWZYrefZd6Z75F+9WrVB04gCxJhGVm0pifT53RyGGXJn4g8ihuAM4C2wmgasULvHXHPFDfdQtCEG0ZMVj7IxquPWiedN78QSEY/U001HLXLHHu3DmqqqqIiYlh5MierVlDQkJg4WJ/OeCdeNwinIb7cX71irDwcOYtXIjFbOaTDX5auPaA4GL4/uhobhmVzS2ZmQTV1XEcsUAB8RsH410pi3Q+14JQfDIR50bboUPIQPngsf0SPvFE66VLlH/yCWqjkcxVq4gcPbpP+3GKaEi4d3IOFJVAY2Ojz07YXxvo/NwCRK8ECiWU0kLvm6WtXtNVoZKsh6wBdDpkukJynhQR5d3TLVUTJ6KZPp1cSeLc6dOcPXOGmiqRiqZEuHsuyO0fKCrlaOd9NoKknKDrBA0GEZfw708WMDo/W3Mz7NyJbt8+ns/JQRo/HvWkSaiys7F+/DEHnDXsgwFdu4ng+lomDMxkTFYUH12qx1srnl2F8L+zIeaFrscCIRoglI1Iukpbe8LixYtZv349Zc1Q0AaD+qBu2FM05EcvpC42m9j2AgYWb+0iGr3t6f0fQHRMDFGRkcRER7t1WX3YAEdtMN61vC66K38jKDGRzFtuAaD4gw86W4krqDt9mrhJk0icMYNWp420Niio03xVyZ8KQqgc54F3EWEVz3oLhVAc7cPnO1APp6IEcdAhJqbN+C7ISkb4JvWEp533X5SioWCzsyPwnDlz/Ja8KkhJScFisdDSQ4KoggzE8Bd4ymbvIGm1LFy6FL1ez+b162ny42sRCC6NmENHSBgdn29kHOJcOUzXit9E18d29fpQfDIaEQnG1ztVkh90nOdUw2jK7p1I/OlzUH9tx+eKfyEaTzbn53O5tZWURYtInDuX0Oxs6o4fp6201LuluSShDQ3t9LMxGQzompsZN3Ys2uBgJJWKIxkqHJIKWVKhsVswttWTVHGaqPruISqbLLwDJUlya/X+tcSXmbMBMGiQOLXq6T4w9QZpt8KV50XrZYBVsWre0icyZsZ4GpPTiCwtYNMJdyby0tChzL/uOhobGti+ZUu3Eq7+JBmm2d1tr12Rj8i2D6HLMTQBEcL4AFE5Mw3hxjfEORf0tbzSHyxmM98/exb1+fP8aepU1JMmoV22DOsbb4CL4VnG4b1cnjiDMzffwZxjB1lxpRBDSzNv1IvQVt5V2JIHMX3sF2QGoqNF8mcgiIqK4qabbuIDi4XfHdvECzle+o74QbsxnLzBS2kNiiO6sYjBlzajCsw95SuDIcOG4bDbycvNdTNYetQAyY2CfOSGw2Bn0Hd1PRjj4shasQJJkij+6COv1QB2s5nS7duJnzaNhMmTqTp0yC2+7ko6JESuTgqwzXk/iS658yiCcHhTMbzC4yLMQhDenYiuuoN7eLli1AjuiaMKwfhJoMfRBwhVQ4RLTp06xeeff45Op+OGG24I6PV2u52amhpafG3gIa+HI9RdxWy2PyGp1aQtXUpwXBwbjh7l0sUe3Al7wNARI3grPp17Lhdgc4678cACBFm9jCDKSlK0ggnARsRnvIEuMvJ4JvBvmUzLfs7suJXvTFqAuuS9fstruNfl77ayMor+9S+SbriB0JwctGFh6MLDRat7lUr0wJEkJJVKNAJVnLJbW9mbn8+00aOpi4igva2NLLudzy87uC7VCrKDlpB46qKyiK32MCJy+l1Wd4BsnExsTMzX26q8n9Crb2D8+PGMWpxB3qbLnaYrPUEXFkZwaiqGmBh+/omB25erUMsWzMmlpEzIJjw6mv3RcaSpVMJQqrSYwxt2iqoUJ34aFcXt8+fT3tbGR+++S2uLz0v6mqE05/LWZwPExPqK8+95uH8HyxEhhU8RXUMPAsNPwoRoGB4BzXdAmLeOQtcIu93O9/bt42W7HfXUqWjmzcPmkv8RU3IJu15P0bQ5FE6bA9PmoGs3MaqulrNBVv56/DzLZsWTbwxChR2Do4nnf18D0mVnm1/fkBFVOHV1A8jMDLzO4c477+Ts2bMUAH/I3cQvMkEVwIqwPiaT8xMXYdMYSK08TGb550hfM6JhNBoZMWYM1VVVlHsk2mU0ikXE+XD4t0WcX/fo4cXMSE4tuxW7VsPQbet53I/lc1NBAZIkUbFzJ9bWVq+ruD10qRxhwC2IleoHiEmkt7m7gz1CUS85ibVCefPpmWx44mncCcbTvjbsFwiiYbFYePnllwG44447Al6RKjK531JrxXTZKcenI8rlh/T6WP1AkkhetIjgjAyazp9n/549Pb/GD9IyMpg9bx6m1lZmfbiLahe3Uh0i7+c+4HuIycRzuRGPICKdjraxwHPiz8gVV0i87gzfHDKS1htvZNumPrYx8ICibCiwd3RQun49+pgYQjIyCMnORq3Xgyx3djCWZRlrRweVlZWUV1dT0dBAXXs7yUeO8KrTMiA6JoaUtDQO1KbwyORUjOYWNA4barv3QGRxG2Ds2aPla4EvW9lISkoiKSmYPESYzZcNsQJjQgLZt93m1jq+SgfB9lqG5sSyraGRm8IjiagoJayqgsiyy4RfLeeoS2L+Q8CssWPRaDRsWb/+SyEa3iAjwiP/QMThxiPIhSs0iCS5mxGVou/GwdlGOOeMSRrU8L8j4Le57v7+/ZUk9r0DB7glLY35Q4fCvn28Wt/C/c6Yf/zF80RduURt1kCa45NoTkimMSWNipPNmLTVaMPHUWVTdy6zMm8Rk9aVjRv9vqcFkTAcEhJCZGRPZ0QXtFotTzzxBGvWrOFUK7xaCd9M9F2VbFPrKM2cQGnWZOwOM4Zj71FYeYVzdtEQT7nZHOLeAYRqIMEICQZINILxK7K4GDpyJBqNhtzTp70+71q5dDQc/q8DItKHMkWrY8TOTUSX9Owf0OjHzEzBHrp8cFQIx98Na+A9YDE99iH0iZdcFLxsYD9CCWykd9YaJr5ogiGgdiHU7733HpWVlaSlpXGzsyFdIFDIRosn7/XT1SEeEUqx0C+eSYJo3Hgj+qgoWgoL+e0nn1zT7mJiY1m4dCk2m40NH3yAqbXVvbTIiXmZYCwWxNLTIFX5OiRgzkSXJ5aIuwGf7+Rn6lAGDh5Mc1MTB/ft6/VxOhCERmks52s8NdfWYq6tpfbYMdqBh8LgJ81dHbtzcbdw//XYEG6bMJgHIlJ4sTrSzafknxfrKLp4kU+ij6GzdXR7L4ACExDdFRH4WuPLJhsAU6c+xid//wY19Ew2VFot9vZ2ZJuNks2baauq4ru/lUF2MGKrjUdbHIw7sBWDn9lWpVKRM3gwjY2NXOlD6Vav4RLvD7oDzr8tpMLP6DLtikeY1ujo7ipqQhQWZAOGaojKhInRkNsIFe1woh7mJ8MWl67M3ohHT/e+MOfUKUhJQTVkCA6PKhytxUxifi6J+bmdj/2hA/7HoGHIieOwSoVdpaF0wATOqMYTCJTk0NTUVLe23IEgJiaGH/7wh/y0tZX1n6/HqII7PfJYG4OiOR2SyXF9EleutlJ17hNMZRfB7jPF2CfCtIJ0xDvJR6IRskMgtb917B6QnZOD1Wrlog9CoBANxWDuiaxk/qHV8u7HH5NztRjUsDZKhFauFa65VABLXoDkNSKkUYAgzr2ZCF/yCBVqEddCgfM2qRf7CqQhWH+ioKCA999/H4Dvf//7vZK+3ZSNHtpGvbyo6+9bNguXznH0fG37LYdWqUi64QbChw7FdOUKv9mwwW+fop4QEhrKTcuXo1ar2fjhh9Q6K1meKxa/qXL1KY6lsXQ5x7pCIRu+VHCVw8EnGzaw4o47GD9pEs1NTZzrhV0+dOWFKL4uyxHKcrf3oqsB3UojnLXD/4ZCigrGNIFRrSYlLY3M7GzMdjunk5KoCU0EOzjs1Zw6fpzK8nLKS0s7HUF1i7y8kRP544AaGDy4t5reVxBfpoOoAiWUcnHT5c4sXV9oq6zEVFZGxNChJFx3nej298whtM5GaQu1sM4C9/roGvUQEB8Xh8Fg4JyPVeC1QrkYji+G/WaoL4MSExS1wmUTWJLA7sy7CEW4ay7Hd2KXknn9T0QM874smO2cQOvNQukoNsG28u7tknuCN+Lh+VjlxYtEmEzoU1Ohh5LfcgfUO2CEbEOy2GjQp1ISNYUmWwo2k4m6AC56pTJJSR7uLUaOHMljjz3G7xwO3jmwEb0K5ica2a5JZXdHMLlXWrFZa1HZqzDYm4hytDA6TCYnFLJCwKgGjUqY52gkca+WREimyQqV7VDVIe6vpkBZIxR4cFa9SqwuXVdGvTQKDBjBwcHEJyRw6eLFgGPUjqAQpo0exaz6qzzfAXO0sKgfHaE8Cce4FyBoDRRumM8LS7ZzL4Jg+8LgO7uTDFcMQhCNC4g4fiDf7ZdFNBRVo7a2ll//+tfYbDYWL17caa0fKKKiBDOs7mXb5w8WwWulQoVbkdhzxYNSneRKOlQ6HYuWLsWcno6upIQ7PvrIK9HQaLXYbbZOa3VfCA4OZskttxASGsqnW7d6bcqnBR6ZSGf3ZDVCtRoeEYFxwADa9XrQarHm5iI3NTFtmIup1RL3fVmtVjZ8+CEr77yTWXPnYjabKfTRu8kVOp2us+mmYqYHsMbH9soRTK/CLXZlNRiZMWYSw0aORKcTs+qnn32GZLdz4tAhKsrL3dpguCJ4M5g8CcfvwGaDol9OBRwMHOjNR/drhv+EsjFkyBAiI/W0IWRRf+qGbLNRsmULjQUFxE2eTOyECRwfOYgRWz4guKGOBVp4oh1K7ZDq4s6mSP8P1QuznKuVlTQ0NHidlP39H8hzyv0PPWx+ZRnK20HKGMCKikLGABMJTAZ+F7HCGQ7Mchmlo/RwXTxc98ZO7k2dS3CZ+3G4fj7Px70dsydGAOvsdqQNG8BmY3AcHGsSXv4RkriPdHr7JwOvW0U+ABIUT5xBScokJByk1B/lrdeOY+uhjwoIZWPU4sV+22/3hGnTpvHII4/wF6ORlw9u5+ctRsKCbEhyIzlGmXH6FkY46hhkhISMAJogKVLvzO6hAFmG1g642gDl9VBYCQXlIJd2DUYgJkTXW38hIzsbgGIvzeF8IaSmElmjQTNuEt8LC2XbmXP8sq0NM31ol+0DnoRjyAsw5NJ2hhUl8fPsCpbjnnPh6l20s4fE5wQEUW9B9E/pqe/yl0c0xKdobW3lV7/6FQ0NDYwcOZJvfvObvd6X4rB8ZQw9JG50x93J8HQhGPycaArJUHAPIKtUdAwdimnyZMwRERjz8rh12zafJHbejTeSnZPDX154wec24RER3HzrrYSFh3No/37yzp71eUzPHRGE49MjQFgYtvBwmhYvhuBgcDhApcLW0IAtPJzPwlO4xXiRsIZKkVXvkv8vFLxW0j74gGW33caCxYvZYzSSe+qUz/eeu2ABQ4YP5+9/+hNWszmga1SZ7A45x+TJUVA2cjzPjZjCGL2ehvp6TubnU1xYSHl1tc8us64w+fh6isvBYrGSnDz2693ttR/Ra7KhUqmYO/dH7H79XsroOZQC0FxURPOlS8SOG4dl3kxO3byKods+JrKilG/p4XcdcIsWSmWol6HOAXWSCpVRT7PZzMEjR6iuquKL6JsnAfdmQ6RO3KJ0Is4fb4AX86H1ZCGpwPwA99eK8C4A+CY+Jsa7unTWQMMj0DMRSUdkfmuHBdPU7KDe2ELTIQulXqxytUCBHUJVEo2z5mEZOpIQczVDKjcRZK3HFohhAGICiQYyMjICe4EPzJo1C5vNxm9qami6eJGFN93CmsPPk6R2OfZASlp9t2YBxO8RahS3nCSY5WxS8ef1XTKscq+8s0I4euo8GQgys7ORZZniAPo2dIZTaCbjyOfUZuRQPnkmwyfPZN3+I5w+coSsjo7Oqq5rhSfhAMjK0vCnxhQeiSjDhHd33J4gISz984By/JONfwPf7cN79BUNDQ38/ve/59KlSyQmJvLEE0/0qXIgLS0NSZIoa5uK1XEArb/Z76D7vxrgxzK8VCYUoIG4n2eSWk1beCjm4FDMIWHk6mOwxcVhjYvDYTQiWa2E7N9P8MGDfs0Sg4KCsNlsPolGXHw8S265BYPRyN7PPuP0iRNuz//Ky2teuBBB1rLZcP48stmMKj+f4NJSVPXi5FXLMiq9HuuAAZzMmkhUdTHZuZ8SNKCxm/VBiaOW5LfeYumKFcyaO5eg4GAO+7BFV5SGoOBgWszmPl2XDcnpFE2ZhaW+hb27dpF/7hyyLLvlmfQVBY6ngU3/HSEU+M8oGwDz58/nvcWLObtpU+Ae/7JMzbFjfNzQwPLlizm3YDnZr/+VdW1mDtpgv010RbSqVXSEhtMRFsEIlUSVXcZsNtPR3u41+ac3//v6+5UGvPb9CFLDUyWiZXcaoq9ET9iGcBEcBeT4MYt6qQx+h+jKGCj8EZM/Afc7u1/VNMps/fdtJE0poWazAUdVJcEnj2KrqaJRhgYHlDpE6GBvWDR7iyv4RqadaaV7+c7zgedCOKCz1C/buWK/FsydO5fm5mZee+01CgoKKH/2AEkTfBRe3tXDUPC8DB8HPlx4hk8UwqHcbM6bQjqUkEtvoFarSU1Pp6qykvYAVCNXpJ08THLucRqS06kYMZbBEyeSPmIEG957j/rqagbQPwqMK+HIXwOsKWGwnMZLt8Ej68TvPasP+02hi2z0hbB8Ebh4MY1nnnmU5uZmhg4dymOPPdbnVaherycpKYny8hrKHoZM/730ukEjwQOxoXxqCabQaGTWyJHow8PRhoaiNho511JLW5SglSYrSA4Hmro6gk6dIujECVTt7S5dXbxDkiSfRCMlLY3Fy5ahUqnYtnmzz3yizn3p9dy8chylOZOoaVajOXYMbUUF+uJit/C+Et4IXb+emNunU5uYQ+Ps+0jZf4Q0zWHUzoXQc05i/SgNSG+9xYxbb4UpUwgKCmL3zp3dQj92jzBRX4hB0dRZqBx2fr/9XWKLGzofD9AqxS8KCkSV2X9Fcij858hGQkICo0eP5vSmTZQgEsACRXNREes372DIlAn8RgojU64hU4IsNQwKD6Zl+vWEGnTESJBVWcLtl2upa2xE5WzY09/4nZ/nRkeJsq5Xgf9DLKz9OUlYgU2AlAy3+DEd9BffDhR/Qvh6KAO3QjQANg4p4pbC12jriKapJpWmpGQ6Bt1N4vkz5Ozd3nkhlWsN/CpnIOfqS/n4L2eZ78VB1B9MwIjFi0lMTOyxd0SgWL58Oa2trbz33nu88MIL/OUvf/HuvveGDP/jZUh43mVQulkGiwTeXeD9QhkkFe8AV+Jh9Xg+0IEpJi4OjUZDaUlJr45FaVGvttmIuVLEEyeLCE5NJXXBApYtXcrB3bs5dvEiw+kfzwbFzO1/XR4zakR54z8RC/Px9G5AVkSpKr64JmSBwga89/rrvPe//4vD4WDQoEH86Ec/Ijy8t1aF7sjIyKC8/DSXKyBTGVgex32QeRxne2uwH9VSNXAYtZk5tMbGYdUbeQx47cx5Pu/oYGByMilNTSysKyOovhZNwVkKr7YSXV+Ppq4Oq91OOdCA8PxREiV9/S52u92rajNq7FimzZyJw+Fg44cfUuqnrBpAFRFB6K23UpIeTmT1Zdo3HsfgLOH2pDLK1aipq2PY0fU0xKZTOOJ6SiZMoS4jhxGb3uXP5e7EWzaZGLXubTQ3L6Np1ChCw8LY8cknbgRd+Ry2a/Dm0Ha0o6mqIKipwa0CTCYw4m5aRPffF2DYGxT83ytAzH8P2fhPJIgqWLlyJadOneLspk2k0LvY8eW8PE50tNERHEJiSy1PG2WCQkM5uWwVlqBgBuzdQUJ+Lirg8hfo6euPaCgYh2hG1AS8BPwR3xfzXkRMuroNSk2i0iHc40fyJBq9VTcUKP5Jpir3x1+Nh/urHEAF4cEVJH6WS0dQMPlzb6JyyEi07SYyjwpp0jZiNLePn8JH/77ApSR4+TSsXQOrXwjsGJoRJ1CgzqGB4u6776agoICzZ8+ydetWVq5c6X3D52Xvj7tCJ4uSCug34mF33mx0ldwpN38TcFy8CBZXV1X52coP7un6bUylpRS+/TbZK1cyc+lSwj/4gMPFxWTSc05EoHjWeb8WyH8TRtwJq9+EXwD7gBkETjj0iAhXDaJ0PK2fjrG3OA/8Dbi8bh2SJLF06VLuueeezsTAa0FGRgb790NxGcxWyjw9B5nfgfw4VLSMpWbhQJoSU9hsdlBXW0tNVSF/NVWxp/AqldXV7Nq2DTWij4oSMn0G+KHz71sRilEU4ju141794UmErVYrGo0GvV6P2WzGaDQy98YbycjKorWlhc3r11N99arXz6aEUFQREQQvWQIGA1l5e0gpPEZtsdw5OXtO/Yr+oBxHZM0Vxu3+F5fjp1KbPpDX594K//pXt/fTms2MeP89ChbcSPqgway69152fPJJZ7JqkHNx097R0Y0YXI/wOuoZEm9GJjFcq0NjtXQSDjuBkeFgZzKvCdx+5+rqJiorGzEaY/qcOP/fiD4rryNGjGDy5MnYEf4TgcKK6CtS1tzK6Ix0/jfCSIhBT+6iWzAHh5KzdwdJTqLB+b4eXS/hEUKxO+BQLfz0tDDwegiRjV9HV08UT8jAesTk+8uRoiLi6bPwdK7Yl63vVWi9wv1e5jFDm4nhWz8iuL6GkrFTqBgq0iYtQSFIksT/Su3o1XCgEioDbHxjBzK+8x1AJA33JyRJ4tvf/jZarZZ169Z1ZpxfM3SyUDuUG8BC5y3QY0P8xjroTCBT2sgrniO+KFBYRAT1dXXU+BjQ/cFboypbayuX3nsPHA5yJk1iPEI5yKOHRod9wGA5Dd5IY8idwh1XQ+9tzJUeKOV+t/piUIQgSU8AlxcvJj4+nt/85jesXr26X4gG0Glqd8V2t89t7A415x+9icLFc2gLi+DHO3bzjz//mXf+/W82HN1GzuenqL56FZXDgY2u88qK+E2fQJAILWK8WY4Iay1CLHZcz0vP81GxDpg0bRrDR47kjm98g4ysLAoLCnjrn//sJBqmlC5y8SvcczU0GRlo4uJo++wzUpOPdhrqdXY39fi8ynvPHOP8owJUZXayju/jZNFV1LGxqFz8K1yhttsZsnkTn27dilanY+mKFVw3Zw45gweTkZVFTXU17T6SQ6+HHsNKMcUXMbW2Mi1hCMHOvkQlEeK53qh2Culg2Ldg2BscOXIJ0DN27FjU6j70pf8qQuvnFiCuyebo/vvv5x8/+QmViL4ggfj8X0C4cKYEBTFg1FjkolNcmHEdpsgY0o8fcPOAYEjXyj3YparD22O9hTdVo8kC2yphXzWMioQHciDBmW1ciwinfExX8zVXXEX4cIQA8/aA/k5YnAJXWuHTKnizWOxz2TL46KOu1z0orwVpdZ/UDRDfgae60QkXDqCxmBmx5QNOLruTwhlzCa2+it0pRSbIDqaWwwvtcMc/uizY/eESEFZWRkpKSsCWzr1Beno6UVFRVFZWUlVVdU3VLj5xcxctMMkQ3AufkDYlWzlRlBBnNXZXO5TcDgVp6ekYg4Jo6aMxXfALot23K6wtLTRdvEj4oEGEREUxsr6ecgQRGEX/tJFfLZWwVk6Du0p46U0xEE9BVKScQ7QfDwTJCLLui2z0d2KoDdGraDtdxMi4YgVLlizh1ltvxWAw9Ov7iSTpGIqKKpBl78nhFS1judI4BVWOjVdPlpOank5yaip2u53lDgfXtbWh1WpxOBxUVlXR1t5OckICkiRRWlJCZXk5NpdWBN5W8YoSJ9GVb6QBLhYUMH7SJEaNHUtbWxs6nY5Pt20jLzcXb/CWEKofPBjZYsF67hzPnet63BfZUNZYl0+6F+lkp4j+LY62NhytrfiCBOSdPUtFeTkLbrqJUWPHMmjIEDQaDSePHesxv8KfyhGXn0v0tBvIHjiQs05rhaTGrs/SKzwObBKevEeOFAExTJw40e9Lvlb4T+VsKEhMTOS3b7/ND++4g1zEAOQvnFKPGGhUwOSsLMbqVTQmJFObOZCo0mLSj3k2kkdMmOf9TKh9gEleK/6IXo28APKbYHMFVLTB/ET4w1jh9gldF88c4HXEYFlFd98BxQVkBO5fanoI3B8C9kw4Vg9/uwjHgF8c+THjxgmJ7UF5LQ8CwdLq/vuQIJQhF8KhN7UybNt6Ti6/k8JpcwhqrOO0Fda16al0mtRUInJw/F3AjUDEkiXIsszDDz/cbytDT8TFxVFZWUl1dfUXQzY8YHJNQrO4fwPBzhPbZO76G4BKSE4EcxQE1Xe5GSo3FeJ80Go0RMfEXLMxnbcwV3tVFeGDBqExGpEQ0noo4lwdTu+tx33ijTR4U+SbSMBshFNuMKKxmC98F/gLXddMA+5JeP1JMmyIBc1hYDfiXAWx4l/8yivccsst15yb4QtxcXHExMRQW5tPYQnkeFHQU8OP0mqO4y/vpRETF4darXZr9NbY0ECE04l3kNXK7r17GTthAmq1mlFjxlBXW0vB+fPknjrVzUvDcyWvhPYU5Y32dt549VWGjRxJU1MT1VevClfQXkDS6ZC9KI21zntfZMNzrvo/RxLBUVE4GhrA3HOdYWNDA+++8Qap6emEhYdTVVlJZVVVQA7M3giHQ6fj0rTZOByOzj5bSm7WtcyrJlMHdXWtxMWlMW7cVyUVuh/wnyYbIHI3fnfHHdTR5YTnTdaSEWVdINoMx8TFcbiihmOjpjOzroYBe3f0OgPYVNV3dSNIWs367f/Dtm3niB8dxuK97zM4zLeHQygwGRGrPgQs9Xhesb/ylReqVsGkGJi0dS1lZfVs3pzLG28cYtasQcybN5SQkL6tsnpLwkJrrpJ64hDlI8eh7WjH0tBAcFISUY2NGBDdORvxXdLcDGgGgtnhYNmyZV9oaZfSl6K6+hp70fcFOvdgiEn51yJhMrtsY5FQpD3X3A6FdDgQcnZYWBhXq6oo62VyqNsxrPH+uKTVYq6rc/NFCUeci2cQplpR3l/aI9bK7tkVD8ppvCSJz6ABPmhJYXFoGZHO93zQSwWW/c0uQnECaEyGFeWiD4svoqHkxrgm5ZoQ1TDKfavL3w1AKeK7dm1PlwLMe/+nzJmzpld2+n2BJElMnDiRLVtOc/iMd7IBMCRuM6/8xf0xhXSo1WokSUKlUiGpVLRbrZQVFWHQ60nLyGDQsGFcN2cO2Tk5bPzwQ6xWa4/hAkXlsAKy1cqp48f9v6ACHtHDc144gKTTIbsoKwqSEf1vPIvsrQh1TZmr1jvvg4YNQx0VRfNbb/Vw9F1wOBydZF05P/oyB9oiI9HfvozqkFDOnz3LiaNC9+opwTYQHDxYSEmJgZEjE74wUvt1xTWTDZVKxa6GBiZERtKAyN/wln/bhBgUdMDAsDBC0tOF8YskkXDsOMbWXjrhONEbwmGS19LQYOL11w/yzQfnUFdn4sc/XkRkZDA8tqBrw7u6FAb1nWKwBNFOfh9CMHAlG6pVkLsfJBuMmwjqIES1hFe8QkpKFA88MJO2NjOffZbPT37yMQMGxHGu+LcMy3wi0I8eGJS8FxeFI/XUET5MH4Y2MQtjSAihWVk05OURixiwm/BONmQgdSxcSFrMlClTuPfee/v3WD2gTA7NzX07N74QeJCQzv/rwBTtoYa4KB1qnY49e/dSXVHR2cSwN4OaKQr4t3eLckNUFProaKwm94SbYGAsQuHIwL8LqDd4Eg0FD3o8fh3Q8ngYT/w6XCQrKbhLkBLlGlLfCckn4VI1/AwRev0OguB24E7QFOLbWyQiPD1G/3UNs2aNYuDAe3tto38tmDx5Mlu2bOFweQx3scPrNsHDuz9mt9ux2+1YPSZyG8JTQgPU1tSQe+oUM6+/niHDh7P01lvZ8MEHWAJQBhSFTQmp9Jis56sCXq1G9nI9xiPIhqJ5zJFlPpMkbAiyo6GLaACdDR7l9u6/8iMBZBL2lRjIKhWNN99MWEQk6Uf3s23nIfE4fScvrtizRwy4M2fOvMY9fcXwn6xGcUVERAQf5eby1FNPcfzjjzHSPdtc6W2ZDGh0OqxNTRjj4phn3E/ymWPiyXtcXvBk4O/vSjhMPgbI0lIbL764k8uX67jpplHcccdENBrP6JzTOfANdwdB9RvifqgkIS1ezPnwcFSvv945iF1aKtFigxg9JH7g6MHiUtn3KwQF6Vm8eBSLFo3k9OlS3njjGR5+MoyFCw1MnqxHowngUqoOYKX8DG7frQYrl99eT9rChYRGRnauiJXiVV85oquWw6uGVSQEBfHYY4994clPRqPIODCZfB3RVwx1TuIRLdQOE0AjtLbHsf2Py/jlrn2UlZR0ltb15NdhClCO0EdFYWtrw+FF3tYj1MbTiFypL6IK5JdyGuvWmXjvvTZuv92lBPoN5d2uoHZ+yhERUNQCebHQVtMV5vCEq5GacgtG5EQFI5TGECD8n/8kODiY8PBwUlNTSU1N7bcy7L5g+PDhREVFYbWWUVEFSdeQVwZdeRfgLLU8aOXg1q20WK20jRnDnVOnErZrV4/qBojvU+lrEhDh8HY8RiM0NHR7XIksup6BCnFUFL+ldBEOa2kp2owMjHPmYM3PF23e1Wpkh4MyvQ7Z2QI6qL4eY3llZy8S6D0xcA2hmCZOJDQhmpRTh0k/cajz8b4sADzRcMNdnNaPQaNJZ+rUqdewp68gvgphFAXDhw/noYce4kVZpmD9egyA0pzZgshzUOLJNpMJS1MTtSdPkj39BJIryXjR5b7SyxvFpblPsHHCg8EkR3TbVJZlzp2z8uGH7dhsMsuW7eahh37lY6XTs0VxisNB+N1309TURGVlJUlJwj2g7NE98Ic/MHDq1D6toiRJYvTofzJ6dDjV1Xa2bGln3bo2FiwwMn++Aa3Wzz49vw9XPOP7Ze1VVZR88gnRI0did66MlCHam93UPx6GHxmfoPnsWW655Ra02n44+3pAcHAwKpWKDh99Cb6SiJa6SAdAhER9VQYxSwx89oNWUnLE6lIJDfTKJOweUYaqYPULoDYYMMTE0OKlf4UCDSKp+YzzfQJpeO1L1fCFFSuC+MlPmhg71srAgZ7nRnqn0tf45z/T+PHHrKjfyfwaQRiMQMhtwDp3e3hvk6G6h74e/2lotVpGjhzJ7t25fH4SVi5wf96bquEPKrrIxnMufVOmfPYZ1vh41qWmsik0FAJMOpbwTzhMLg88ooLnXNNCVCokjaZbzsZS4GXn367PJNMVQvE8t60XLmDLyUE3YgQ6ZxUPwPDaWopi3D1xVwOtLS0cO3yYM6dOdaolfSEGYWOHYWtv4+MdB8EmkmCbgV9zbfPpc5tFsrS8GMaNG0dISMg17O0riK8S2QCYM2cOjY2NvGa3k7tpE+MQvUTKERdMLOLks7e3U7RuHWvX4F4n+KLnHntAnPcB0W6XOXjQzIYN7SQkqLnrrmCysjTATz227F0PBEmSGDZsGAcOHCAvL6+TbCjVBf0Ro4uLU/ONb4SwcqWDTZvaeeSRBhYtMjJ3rsG70hGIsuED7VevUuZShulL2Vi7Bo5VwdmWs4SGhn4h1SfeEBwcjMPh6HP1xn8Edd3DLLXWE6iN7YRn/oG2KnHJBcV3JZHOmweJGVpuvXUzs2fPdjde+h9JeHh7wdo1UB2awfkEiQGhxfzsA9+HpUIkL59EKKJxPrbrLclQoFZLPPhgCH/6UyvPPBPuk3RfvXoVg8HAtL8eYajiDut0g7UjQi2AnzDkVx+zZs1i9+7d7C6K4lb50557+fQA17YEAI+8C4dWygSdOEHs4sUMGDSIU8eOBbw/pXzbhnci4AolpPGcAySnYuRwyQ1SwsnelA0lEuOqwHeqG7KMadMmLBcuiCccDlbhQLLZKJQlJIeDAWoVpthYLsQnkJqWxszrr8dst1N44QKOAEJHnpgcBfuNQZyvaRKd0pzH+GvE99HXn+lXiN+nEKjddJIf/vD/+rin/270K9kAWLZsGRUVFZzetImTiC6PSsJWKmKA9ApvRCOR7uqGn8m1o0Nmx452duzoYPRoHT/8YRgxMa5S/y/pTjh6B6UqosbZchm6yEbvrI6VhNAO53G5IyhIxcqVwSxaZGTDBkE6brrJyOzZHqTD23cUALxVNegRKwalrl/r3K62Hf6kvQeo59Zbb/3SZGrlfb42YRQvaGtro6WlhZiYGBF2ihPTRptz9mi8KPHRFtjy+VJefPFFPvzwQ771rW8xduxYscHz/ov7GozpBFtqiWwt6ry2fJmyqRHlsMcRE0DEtX44DyQna0hJUXPkiIVJk7zXpSnJvgkJLtZjTmKhhCu/7hg1ahTh4eGUlpZz/hIMdbFYNp3tnbqh5CV4Uq/J78L++0RwOjbOF3X0DSWHQ7nOlTPMptdTl5VNc2IiLYmJdDjde8M6zKhCQkCjweZiSqeERcoRC8kuspHeSTb8TTIPXbkAVsh1iBb10FWuXQZw+QofqiBSoyNtwABiExK4bsYMNn70UWcVSSCY7AxJRhcXokobhBQairmlhZ/SvUS9N1DKg68iKnJG3XHHf1fJq4J+UDb6s6ElIFb/3/3ud/nmZHEiH0SslI3ARw/7eFFvFQ0PNDQ4eP11E4891oDVCs88E8H994d4EA1P9L6zI9BZm+8q7feNbChLOP9VKMHBKu64I5jf/CaC6moHj2pL+fTTDux2GdRO4pXovF0jJLrsrk0IotFug18cgvr6ekaMGMFNN9107W8UIBSy0dbLPiJfJVRXV6PX60lM9P4DReTI3PewzCvOssyrV6/ys5/9jKeffppKZTB9Xu66ucCBitpQ0b46yNbU+fjaNb5JvRaR6Hye7gmYfVU1XHH77UGsW9eGw9FdmXA4HDQ1NREXF0dsbA8d877G0Gg03HijcAr8KPdWt+d6G0YBMRl6M2mb7yThen3fGjm4Eg6VSsXIMWM4vPrb5N+4kIrRY2iPjMTQ3IyhuZkx5g4cTU20bd+O5Xx3t0VlLgpBNIQskko6yYbrPJWtF5Uu4Lx3bjTCz0zUKoPJYuF8Xh615eXodDqWLF/eWSLcE64HSuqBv0L0bUVkT9JQO24cT9EVxrxWnHLeL1mypM+/x1caOj+3ANHvygaIMq7Hd7VTNMZIdRuoJLhtkJe8yReBH/SwM2WM9kJiy8ttfPhhO8XFNhYvNvL885GBJVX2kWiAuLAdDgdHjhwhPz+fzMxMioqKkGX5i4nTOQlFCIKeLJHgo3nVPPJQCDfLMBPx/QJ+v6tAEYyoGmpDOKn+/hhcTl1McnIyTz75ZJ86Yvb5WJxko7WXXgBfFTgcDioqKpAkiYiICL/bhoWF8Y1vfIMbbriBtWvXcvjwYY4fP87y5cvdDaie7+oJ02xIxKbSk9R60us+fSkdBkRx0jlE8mh/1mrExKgZPlzLnj1mZs92J9I1NTWYTCb0en2/G2p91bBo0SLef/99Dh8upOK+P5GUFAnn7uq1sgHi95mIUDcefdf9OYvZ7LO5WiBQATFRUcQmJvL9UaNoMpsJP3AAQ3ExYxvr3c6NcXjkcDixFBEiv4TQaRUoZbAaBMlwhUI4FCaS6yMqUgT8Vu4iBRcLCnA4HNy4ZAlLV6zgvbfeoi0A5XMIwEqQucB379xCS0I0v1uwgF/s3InNS1dsf/A0O6tBqDJDV6xg8eLFvdpXX7B161Yefvhh7HY7q1ev5okn3CsY9+7dy5o1azhz5gzvvPMOK1ascHteaTx4880389JLLwX2pl9FZUOBwWBg0c/fQauGG9LhtoEeG7zocd8LVFbB83+Fl15qZdo0PX/8YwRz5vjIaehnGAwGysvLMZlM/OhHP2Lq1KkUFxdjtVrdMqYDg5+2sNClXLggVIJ7JPjln1q5Ajwqwylf4W3X7zjA71lRNm6bD3/PhWMxiwkNDeVnP/tZnzti9hXKBF1XV9et6+PXAY2NjVitVhISEtyMm/whMTGRp556ip///OfEx8fz7rvv8sADD7Bnz56u7+B5GZ6E+uBMDNZGIk3+jcLWqsTNFRHO22XXB72cb33BrbcGsWFDu8tvdgWAigohlCu5Tv/NiIiIYPbs2chyMuvXO30thr0Bw97AJPcuXvQ0ot/Ndb/peizY2S5Ip9d39gnpC+Li47lt1SqenDSJj7duhVdeIez4cXT1TqLhYU3tqyxVoY6unEEJqcT2IB3kmmGEBxlpQ4RoNgMP4K4+FF28yL5duwgLD2f8pEk9fkboqmCxAiuGFvCDm6OJHD6cZStXBvT9/Yru1u0KFI+lhQsXfuGJoXa7ne9///t88skn5OXl8fbbb5OXl+e2TVpaGv/85z9ZtWqV13089dRTXHfddV/ocXrDF0Y2AMaPHw/AyRrQu54tfQmbJEJ1AvxpLTz/N5g1DX6zppmxY3W9rADpu6oBIkyUnJzcGZcdOXIkt99+Ozqdjqo+NdjyQjjUJT0O/OESfEOCH0uirf1vZahVxnbXsIrrd/0ibsTDm9RuBEZlwu5S2BK8GK1Wy09+8hOfYYAvEqGhoURFRdHR0cHVPvQT+U+jwVkiGOORXR8Ixo0bx0svvcT9999Pe3s7zz77LI8//jiXLl0CwB5t4+q0kdhVOsI6PKQsH+TSk3RkIVZlTbg83g+EIzRURWqqmvx89xVjUVERACkpgdTDfP1x8803A7Bz5zlaWtwXIib5Da8TlyeUbUYAj/8I/riyi2gAnDl5kuSUFOJdc2ACRExcHDevXMkIrZasPXv4ztWrfGi3dzPmcoNWqBKP6IWioSSIKmq6K9mweTznCyP0XcqGDTGevYhQSx7Eu+fP6RMnaKivZ8jw4T1Wxh2iqwJMC0zJsTNMWs+M8SdISErirvvvZ8To0X2qJGxAEPZBy5axdKmn1WP/48iRIwwYMICsrCx0Oh23334769e7OZiQkZHByJEjvS5wjh8/TlVVFfPnz+/dG/dDb5QvlGxkZWURNeMe6jqgWPGB6QPRqJPhLzL8XobJ4+B3T8GY+S5hmQAm5/5CZWUlKpWK+PiuAnol2a1vTpdOm0HlM/Tyc8RI8LgEC4CnZXhfBlsgIoBzQlImGSXO//QdIk/jSJUgVo8++ihDhw7t1TH1J5TmVsXXaPP9n0BdXR1BQUF9Xu1oNBqWLVvG3/72N66//nrOnz/PmjVr+POf/8yFCxewSLeS2nAUFY5uRBK8/O+E8purEHbm+XR6LAn0w/W0aJGRhgYHiqoBcOLECUAkUP6/gLQ0YVltsdj45JPTPb/AC55y3kKBMLqSKBXk5+VRW1PDoptvxhgU1O31/jB3wQJ0Oh3N69ezu6iI44iodmegtIeJJFvfFR7xpmwkaCFY1TsFXo0gF48CU/E/QeWeOoVOp2Ogj0aQ5xGFXH+ky2NEQpA1SZIZdftnbN+yBYfdzqy5c7l11Srie7moUlSNefPmERXVV5/ewFFeXu7WuiElJYXy8sBaGzocDh599FGeffbZnjf2xFedbEiSxARnedu2y71/faMMa2X4tSyy6P8gwYQxI60WWwAANThJREFULiQjEfdB0dsg2c8kRPlhXVdniq1235SNK/1yjKMl8f0A/K+/0IoXuK52x8XDXYPhmz/+I2vWrGHatGnXfGzXAoVsKCv6rwtMJhPt7e2EhIRcs4NlZGQka9as4dlnnyUnJ4dPPvmEhx56iAsXLpD4Iy/9hAKAonIEAWsk2HNNR9gdgwZpmTq1Sxtvb2/n/PnzTk+Z0f38bl9dKOrGhg0n6OhwKQzdcVev9vMUYsV/AvfatarKSk6fOEFwSAhzerFazRk8GK1Wy6njx7G4XFuf9OqoBLL1MFAniIW3MEpvzCeV/JQdwBaXmzco7eYjvUzyeYimmYcQnXIvuDzXvE5LmxxF1boYrlZU8MZrr3H6xAnUGg0r77yzk4T1hBZETsmAJUtYvnx5YB/wP4iXX36ZhQsX9k1ZlPS+bwHiC8/2W7JkCdu3b2fbuY0szYZAorUtsuibcEqG5RJ8U/IgGD3BH+G4xt7bZWWikDc5ObnzscTERNGVsbSU9vb2TufLLxtaCVYgkkZfAbbJImgUE8hc50zWPV4FJ4f8gJHh4cyZM+eLPNyA8HVVNmprazEYDG4K2LVi0KBBPPvss7zxxhv861//4r333sNsNvPt33agf7FvCZdrVdAsw1MyTAfc0p7UJWC/lgqVLlXj1KlT2Gw2Bg8e/N9neOQHo0aNYtCgORQUfMaGDSdYuXIyAM/1UsUGsTKMB36Mew7DuTNnGDBoEJnZ2YSGhdESgL1/Wno6EZGRzD1xAs+czy3AQuffSnjDM6fCE8rZp1dBtnO1W+Xc8RfTppHOxE7PpHUZeNt5/326VtRqtZozb0zkmH0YHVIEAPesFuaPDfX1qFQqQsPCmHrddZw9c4arzhwjX+GuXCBz8WJmzpzZr9e5PyQnJ1NaWtr5f1lZmdtc5A8HDx5k3759vPzyy7S2tmKxWAgJCeG3v/3tF3W4bvhClQ0QUuLcuXOxy/B694opN5hleFeGn8jCVvmPElwneali+Q+ho6PDq7IRGhrKkCFDsFqtHD161NfLvzTESvCEBPMRoZUPAg2tIMy7Ll26FHBC4xeNnJwcAM6ePfu1cRKVZZmKigpkWe735l81NTWkpaXx5JNPMnbsWLZv384jjzxC6TXkz4ZJMNWZ+9MN/aQMbty4EYApU6b0y/6+LpAkiXvuERbJH354rFvuRiB5G67YgFgvef7cZ0+dQpIkho4YEdB+wiIisNlsOPqp75BCNlw/naJs9LaQwZeS4QlvZENGJIEmAKtwn+BOvjmdK0xDJ5lIkY7xq5cPs3r8Ce4aL5Sd4JAQ6mpqqKmqItGZxOzr92mjSy3xrPb4IjFhwgQuXrxIcXExFouFd955hyVLlgT02jfffJOSkhIuX77Ms88+yz333NMLomHwcwsMX0od46pVq9izZw+ff/ghU5wEwhUOGT4D1sswTxIk40soLOk1Dh48iM1mY+jQod3Ui+nTp5OXl8fnn3/e+0xfu+zewKqfMEYSMfmPgMdk+DYwxM/bmG2wP/luaGhg+vTp/X48fUFiYiKDBw8mPz+fffv2MW/evP/0IfWI9vZ2LBYLSUlJ/doErLW1lYKCArRaLZMmTWLWrFm8/fbb/PnPf2aLLPwzJvXx7ZYizpH5CIXMDX1SOLpUjTNnzpCbm0twcPCX5j77VcLIkSMZPXoRp05t5oMPjlJ/39/7vC/F/dOCmMSVybS4qIj29nZyBg3i8P79Pe5HJUl+S2a3gHtMpAcoo6HrcsCbg6gvjJgt7n+3K/D3VHw2FJ8jxZH3E8Cz+DF2awTHGsYSTC2jVO8Sepv47KP2Bf5+rsgF0hcvZvLkyaSlfREdh7xDo9Hw0ksvccMNN2C327n//vsZNmwYP/3pTxk/fjxLlizh6NGjLFu2jIaGBjZu3MjPfvYzzp07d43v7I9UNPl5rgtfyvI1JiaGO+64AxYv5tnFN7FNFgQD4KQsBrlS4LeS8JH4woiG/drKJ3ftElfC7Nmzuz2nNN45duxYH0pgr/3YfEErwUpnEukbMrwqg8XHW/194Is0NDSQlpbGgAEDvpDj6QsWLFhAdHQ0+/fv/1qUwCqOp/0ZLqipqeH06dPIssyQIUMwGAyd6pNOp+NPw4bxaxm2ePFBCAQGCcZLcLhfjraLaLS0tPD8888DIn/hP9kk7T8JoW4ks3HjyW69h3qrbiieE64Kh8PhoKW5GV2AhlJWi4WhXlrF+4IvHwwFyrua6RrblXHGX2unTvQh9SgxKYm6mhouX77MA8D/ItxxPYkGQH1jBg7UpKkOdRKNnuDrd6kDOpYsQZIkbrvttt4f+DVi4cKFXLhwgaKiIn784x8D8Mtf/rJT4ZgwYQJlZWWYTCbq6uq8Eo1vfOMbgXtsAP2hbHxpWvmKFSu44447kGWZlxYt5l4ZZjvgbVlMhPdJEPwVVDMUNDQ0cODAAZqamrwmTV68eJG6ujoqKyvZvHmzlz0EgC+IcAAkSPC0JGK+P5ThvMtbWTssvPnvN9i+fTs6nY7HHnvsS23L3ROuu+46bDYbx48f7weG/sWjra2NoKCgfplYrVYrFy5c6KylHzJkCJGRkciyzD/+8Q927txJeHg4y5cvJxyRq/N3FzLfG8wHfK6JAwqnXMGTaPziF7+gtraWwYMHf6ly81cNOTk5TJ06FYslnqg/39vt+d4SDqWXh40uwmEymWhqbOzxtT8FZqrVqHphrNZTzoYkeVSkTAXLYCCyB2Vjate9P1Xjpx43gJT0dEorKiivrGQRQrmN8PLaNDNI2AmiDu0zgbc+UCqBHpHlztvDNhumhx/G4XCwePHir9Si7KuOLzUwv2rVKr7//e8THx/PxUmTCAaWSRD3Zcxr1ziRf/TRR1RVVVFdXc2ePV25+3a7nX/+85/8+te/RqvV0tLSwrvvvktTU2DSUn8fpz9IEixy5nM8L8MKB/z0x0/x7W9/m3feeQeABx54gIyMjC/sGPoCrVbLwoUiZe2dd975yqsbLS0ttLe394lsyLKM2WympqaGs2fPcvDgQSorKwkLC2PcuHHExsZis9l49tln2bhxI2azmR//+Mf88pe/ZPXu3TiAjbJoLtXRy68pUYLHvD1hT+shjOJOMkCQ78cff5yCggLi4uJ47LHHvlT32a8i7rrrLiRJYvv2Ru6o8CxivXbCERYWRpizl4k3nKdrona0tyNpNKJlfH9gKhhigUjocLYGsTrPP12OeN7rDZf7ACED6yYEcaGwkI72dtQOBzk9vkqi7Ww0VmPvr8lgl4XX+vXrKSoqIjY2tjMX5/8N6P3cAsOXngW4YMEC/vrXvwpvikWLyL5aJSbYL2qS7Yd9V1RUsHHjRgwGA0lJSfz973/vXGk+//zzfPDBB6hUKh566CEWLVpEe3s7b7311rUf8xf0vSQ4ZBavX0/V9Ons3buX2tpaUlJSePrpp3tv9vIl4aabbiI4OJjTp093+jV8VWEymTAYDKLxWgCwWCycP3+eY8eOceLECQ4dOkReXh51dXWEhYUxcOBARo0ahcFgoLm5maeeeoq9e/diNBp58sknmeR0UZw5cya/ys0lBDgiwxMy1Pfy9FEFRPyveNy60N7ezt///nceffRRSktLSUtL4/e//31nefj/y0hNTeX666/vXKAoq2VX9JZwdLZaV6uJiIykvr7e63ZKbv4dzttIpyfQrEB71HgjBB6kweicTTqcoTyL8z6gMArwePfodDdcBepS4YeNyfxm2UxqKyvJ97N92kfiPuKnooKjPjULUx8LRyorK3nzzTcB+P73v/9fb7nvjq9Jgqgn7HY7drsdrVbr3pBJmVj7I1myHyfpV155BZvNxl133UVwcDDr169n48aNOBwO9uzZg16v5+c//znDhw9n0qRJPPjgg2zdupV58+b1j8zWH9+Lx/eRlJREaGgoYWFh/OY3vyEtLe0rvfIMDQ1l5cqVvPbaa7z22muMGTPmK1Mx4wqz2UxHR0fAjcbsdjtnz56lubkZg8FAWFgYISEhBAUFERsb6zaglZSU8Mtf/pKqqiqioqL46U9/SnZ2ttv+hg8fzrNlZfw8JYUihJ39D/GfGBw4rvh8pqWlhW3btrFx40bqnWWEN998M6tWrfp/bFD2jzvvvJPPP/+cAwcOcOLECcaOHdtJOIL7ELqUEIQjKjqaM7m5tDpda3tCVHU1SYA1Lg5K3ENkNuAmRNJm7q6u5E1AEIsDeCUfBufl2K6QDWc4T+fnMrU6hAIS5OTlCuHwF1JZk6Zi2Q3zUYV3kHTpUqcn9CveNnbW8AY93UDQnnrq0rJwqFTQreDXP4Ikif/50Y+wWCzMnj2bcePG9er1X39c+zX8H5ld9Ho9Y8aMoaSkhMrKyu69EgIhCq4T7xcYejhw4ABHjhzBYDBwzz33YLfb2bBhAwcPHuz0flixYgXDh4vuSqmpqSxatIiNGzfy61//mueff77HJlwBwx/p8PwO1JLf72XAgAGo1WpkWSYrK6t/ju8LxuLFi9m8eTNXrlxhx44dX8nKhkZnzDzQ37yxsZGWlhbS0tL8/g5Hjx7l7bff/v/aO+/wqOr07X+mZSaZ9EZ6I4EICQkBwkoJUgSEQND1J7qI2FdA18aKNAlNBda17lreS7GB7kpTWAQMRUQEBKQEQkIS0nsmddKmvX9MMikkYWgC8v1c11yBOWfOnElm5tzfp9wPxcXFhIWFsWDBAtzc3Drd19fXl39UVrJixQpSUlKYu3UrU4GpXGLxtRWfq/T0dPbu3cv3339PU5O52bFXr17Mnj37pnlf/Z60FMuvWbOGDz74gH/9618Xtdu+GBIgOioKo1RKSmpqu21duQ2oioux8zXhOCIQjhwBWr01fgJWAewBNz9QpoNaBvZ+oM4HuxAwFJpFQotYqDHAz1XgoWiNbOiMUNgEawrhtxqzB4dKahYgpTqzGJFL4H5PGOQIOoUt5R7B6BQqlH0aaGwz82PuSLMAeXMk5AX2R+dmS7DnTxdNqeYozTUbJID7Z2lsvu1PrLPvSSHnLmlQthFzV5WjoyOPP/74JTxS0MJ1W8ra29tTXl7O5s2bmTVr1qUf4BoKjBbOnz9vqaSfPn26xTMhMjKS/fv3U1paSq9evS5wj3vkkUdIT08nJSWFFStW8Oqrr17xF0o7rHntF9mnqKgIFxeXdta3Nzo2NjbMmDGD1atX88knn9C/f/8bLjxfXV2NWq222l+jutnnoCvhYDKZ2Lx5M2vWrMFoNDJhwgQee+yxi46xdnJy4tVXX2Xt2rVskEj42mTi2NatvAj4dCU4rPxMlZSUcPDgQXbt2kVmZiYSiQQ7OzsiIiKYPHkyMTExN1SB8Y3G5MmTSUpKIjc3l02bNnHfffddVlSjBbVaTXjfvlRVVlJbW2vV2HR5fT1ONblUuAXy3FhblLp6TjVHE4Y33wAiw8zpkFoDaA3mn3VG8/EVUnOKRCEBexk0GeC4tjWy0WgCXyXM9oGhzmYR0mA0p+rcFWbxYQLKPXpy2jcCjUcIRokMW62G/r1dCch0ITi9tWR57khoVDqQ1XcYSn0NPjLr0ql/af6o2DieJCp8MJ7R0Tx17pxlrsu3XT7SjInWOS9PPvlkt3Uxf1xu0sgGwNSpUzlw4ADbt29n9OjR9O7d+3qdSqdUVVWxbNkyGhoaGDlyJJMmTbJsCwoKYtu2bchkMoYPH36Bta1CoWDevHm88MILnD17lnfffZdnn33W6hz+78HevXupqKggNjb2ep/KJTF8+HD279/PL7/8wttvv83y5ctvmAub0WiktLQUhUJhtYtsTU0NNjY2nbbJmkwmPv74Y8ugpQcffJCpU6da/XrlcjkzZsxgwIABvPHGG6TFx/M3pZIJEyaQkJDQpcDp7DzS09M5fPgwBw8eJKvZJhrM6a1Ro0Yxfvz4W2bA2pUil8t56qmnWLBgAf/5z3+44447ruh4/WJiqK2pYXn8Qd4eD/O/hBcTwPRE+/06jqD8MuUkDVFOlPj0xT/7SPt0SRtspOAqBdeLrJfsmq8mDc2dpfqWmg0pOMjN8106UuEaSHLMn5GYjDhW5tOj4DS22koyYkZS6BeFU0U+rtIsABavl3LvwrEYZAp6l27jrmcv3rrbdvh6U3U1Fenp2Lq6onJ1paG5viWhk8e1FSB64K74eAYOHHhdpqXeGNzEYiMwMJCEhAQ2btzIihUreOONN6zOc19rampqWLp0KaWlpfTu3Zunn3663Re8l5cXNTU12NraWtInHXFxcWHhwoW89NJL7NmzB61Wy9///vcbIn+dkZHBtm3bkEqlxMfHX+/TuSQkEgmzZ8/mzJkznDx5ku++++53mbZoDbW1teh0Oquti00mE7W1tSiVyk6F6Pr16/n222+Ry+XMmTPnsufURERE8N577/H+++/z448/smnTJrZs2UJMTAzR0dGEh4ejVCqRSCRIJBLq6urIzs4mOzubrKwssrKy2nVX2draMmDAAG6//Xb+9Kc/WTVHQtCefv36ERcXx759+/joo8s3+bKxsSF6wADuNdXhKU1FooTnJsG7/4OZdB/hcPfK4Jx8LIX+UfjmHEV6hV1eqg4FotZo4ryQWHQKFbfveQ97bWtxa5/U7zge+gBnB01k18qvmH9nFW6TJ3GwLpi631LZveVcp8drdHOjIjISWWMjH2RlQWH7icglJ07Q+9578YyOJmf37gse3zHKYQDGxcejUqmYNWvWDbOw+f25icUGmFMT586d49SpUyQmJrJq1arrbvpTUlLCK6+8Qn5+Ph4eHsyfP/+CL1M7Ozu0Wi1KpZLbupg4CNCzZ0+WLl3K8uXLOXz4MPPnz+eVV165ejUcl0FVVRWvv/46JpOJhISEG67N1RqcnJx45plnWL58OZ988gmBgYE3xHCvmpoaVCoVTk5OVu2v1WrR6XSdjqD/4Ycf+Pzzzy2Td690IJ5arWbOnDkWgf/zzz9z9uxZDh8+bNXj3dzcGDx4MIMHDyYyMvLqpgVvUR577DEOHz7MoUOHMHDx1Edn6HQ6aqqr2SORMPBZG+TvNBKUAlENsAuzdwpcGNUAGP+mjg/mnCDPZxBFvpH45J3sZC/ruUBsNN/fnYRx1uRQ4RpAvb17O7Fh11jBvq924xYfj9ejj/JheTm2/m7UpaWh+d//OvUAK46Lo7w5UquorOTPQ4aw6b//pabNLJHqrCwaKytx79uXvJ9+wtjG2Kyj0DDSmj6ZMWPGDbMYvlm5ruX8crmc+fPn4+/vT05ODsuXL6eurqO/3u9HZmYmc+bMIT8/n6CgIFavXt3p2OCWPLtcLr9o7rxv376sXr0aT09Pzp07x4svvsiJEyeuyflfjMbGRpYtW0ZRURFhYWFMmzbtupzH1WDw4MHce++9GI1GXn/99XbDia4Her2e3NxcmpqarBaTJSUl2NraXiA2Dh8+bHH3++tf/3pVrePDwsKYO3cua9as4cknn+SOO+4gKCgIf39//Pz88PX1JSgoiLi4OB566CFeeeUVPv74Y9asWcPMmTOJiYkRQuMq4erqavkM+tD9RbkrTCYTdsePo3RyYkl0a9v6fWFwpj+UADXBwYSNGIFbJwuLgPyDKHT1ZPUbhl5mw+I9sLiLTpBaB09ygwahcQ1AL7vwPWDboRvFco7dnL9nfjIKXT0F/tHt7l/8X6g/e5bSb75BX12NvqKCcaZ9aLZsAaOxXTOMRCKhz7hxlMfGoiopIeCbb/DeuROpwUBofDyyDtHkkuPHkSmVuIWHW+7rKDQm0po+GTx4MBMnTuzmVdwK3KStr22xt7cnMTGRv//97yQnJzNv3jxeeeUVq/PJVwODwcCmTZtYt24dOp2Ofv36MX/+/C6jLNXV1UgkEuRyOTqd7qJhZD8/P9544w2WLl3KuXPnWLhwIWPGjOHRRx/FwaGzTObVp8UIqsVkadGiRTdESudKeOihhygoKODAgQMkJiZ2KQ6vNUajkbS0NBobGwkJCbGqhdhgMFBUVIRUKm0nTtLS0li5ciVGo5GpU6desy85Nzc3RowYwYgRI67J8QXWMWnSJPbv3w+A89athF9k/84oPnYMt/BwXEJDMe6TIcWAQgaPRcDbVSHcO3EiATY2BA4aRP7Jk6Tt2YOheUU/4atGPvX4hfTgUWQMHAlJ5nF8LYJjyUjQyZWkRk6g3MPcZq2qr8QoldPnxHc4Vbaak3UV2egOVaMWh8pCNB49abJRY9PU3uGzMTubouY0U6etrUDYHXfgExnJ3txc/rppE7LmrijPH39EPno0npGRFLYZkFmanIzfsGF4RkVReuoU0L5uwwgkA+Pj4wkKCuLFF1+8hdMnLVz5teKGMCrw9PRk5cqV+Pj4UF5ezty5czl3rvOc3NUmKyuLOXPm8Nlnn6HT6Rg3bhyJiYndpnNOnjyJVCpFpVJZPYnU2dmZVatWMX36dBQKBUlJScycOZNt27ZZWgavFXV1dSQmJnLw4EHUajWJiYlXfRrp9UAikfDCCy8QFhZGSUkJL7/8MqWlpb/7eWRmZlJXV4erq6vVRZKFhYXodDp8fHwsfiF1dXWsWrWKpqYm7rzzzps68iSwDplMxvPPP4+NjQ2+8fFc7ru3OjcXiUxG7X894R3zfZ6BvWj08aE0K4tj33xDZX4+vv36MWDqVBRtCpi9i4/jVJVHkWckDoMGtTuuTqYgOeYeyj164lp2nr7Hv8W1NIsmpT3lHu09hDqaerVcny8WsZEaDSjrqzE1799VZKUzvPr0IWDAAKqLivht/XqL0ABwPnWK/kVFuPfrh8rFBaWzMzaOjkhlMiozM7Hz8kLeSSF3JlCBOV27aNEiq4u9/9jchA6iXeHl5cWqVavo3bs3xcXFzJ07l88///yapVXy8/N5++23ee6550hPT8fDw4OlS5fy9NNPdxsmLi4uJi0tDXt7e5ycnDh+/LjVzymXy7nvvvt49913iYiIoKqqivfff59HHnmEdevWXb7FeRcYDAZ27drFM888w6lTp3B2dmbFihU3VbvrxWgxVOvZsyeFhYXMnTuXgk6soK8VRUVF5OfnI5VKCQ8Pt2oFpNfrycnJQaFQtPOY+fDDDykuLiYkJISZM2eK1dQtgq+vL4888giBgYGk0n5yqrVoi4qIAWqb6wpM70CO62CGhYRwcscOKnJyOPL112QfOYKjlxex06Zh21xbJDUZ6Zu2mdOnK3AaMQLnMWOQKJUsHKvidMw9NCnt8cv6lYhjG3AvOYdPrrnlVK9of6HpaOrV8u7tbk6PQaagQeWIXN+ITaM5qrHECidRAIcePegzdixNdXWc+PZbjB2m2Er1euzy8ohxcqLfE0/Q6557iHrySaJnzsQlLIzGykqUHVKeBUA+EDtlCgsXLrzhWuuvHzfRIDZrcHJyYt68eUyYMAGdTsc333zDk08+yffff49er7/4AS6CyWTi7NmzvP7668ycOZOkpCSLd8G//vUv+vfvf9FjbNmyBTCPlJfJZO3mpFiLr68vr776KnPnziUsLIzq6mq++uorEhISmDFjBtu3b6e8vPySjwvmkP6pU6d4//33mTFjBm+99RYlJSWMGjWK1atXX+A4+UfA0dGRFStWEB4eTmlpKXPnzv1dBrbp9XoyMzNRKBT07dvX6lqGvLw8dDpdO9fW/fv3s3v3bmxsbJgzZ46oi7jFmDhxIp6enkTFx3OGS/W3BEPzit7Y/H6qDAiktqAHcS7F1DY1mYejmUyc27uXc3v3onJ0JCI+Hofmzqnl6xoo27CBpqIi7KOj8Zk1i096PU6Viz8ummxC0n60iIcS7z4AuJZltTuHy0mjaNyCqHXywrPwTLf7H+jwb4lSSdTkyUikUk5++y2NzWPmAzpc0Xrs3UvM/7Yw6chhNGlplBw7RtmpU2jS0tBpte0KRCuA9OZ//+1vfyM8/HKSWoKuuO41Gx2Ry+XMnDmTUaNG8fHHH5OSksK///1vvvjiC26//XaGDRtGZGSk1dbaOp2O06dPs337dvbu3YtMJkMqlSKXyxkzZgz33HMP3t7WeckdPHiQb7/9FqlUysyZM1m2bBnHjx8nLy/vkj0GJBIJw4YNY+jQoSQnJ/Paa6/x66+/otFoLPMNgoODCQ0NxcfHx3Jr8WNocc6rrq4mLy+P3NxccnNzSUlJoaKNZbGvry9Tp05lxIgRN6S999VCrVazbNkyVqxYwfHjx5k/fz4PP/wwU6ZMuWYRgvLychQKBV5eXhctFG5Bp9ORl5eHUqm0RDVKS0v54IMP8Pf3Jz4+/g8VeRJYh0Qi4fnnn+fZZ5/lGHAWuA3rLtjrpFBpMnICMDV/xvObF07+2b8yLRaeOGwuQgXIPnKE+poaIidOZOD99/Pqd98B5zFUVlKydi3qqChse/cGo5FD+8/xd5fjrVEKiQyNRwiOlfm4lma0O4/L6UYxSWWACYWu+3hOR3f0qjFj8HJyIm3PHirz81s3eEBAKeQY2wiPc+fwOHeO/G4UXB1wpvlcX/vsM0aOtDK8cstwk7e+dkfv3r1ZuXIlBw4cYO3ateTm5rJz50527tyJnZ0d/v7+lguwm5sbRqPRMnOlurqanJwcsrOzKSwsxGg0UlRURE5ODk5OTkyePJm5c+da3cpkMpksJlIADz/8MAMGDCAuLo49e/awbNky3njjjU6NmS6GRqNh48aN1NTUEBUVxdChQ5FKpZw4cYLz589bLNEvBS8vL4YPH86wYcMIDg6+ZcLxKpWKxMREvvjiCzZs2MAnn3zC6dOnmTVr1jUpHC0rK6Ours5qXw2A7OxsDAYDoaGhSKVSjEYj//znP6mqqiI8PJy77rrrqp+n4ObAwcGBBQsWUFtby8/ffIMU6E33gmNd8wVVYtCjLitDYjCiVyioCArCsSAfu+80RLlDx8HqJamp/NbQQFRCAu53303Fzp3UJSeDyYT2+HG0bdLDkjbXXY1HMLUOngRm/IzU1P7qbdvcu1vfnM2wpmbDSZOD1KBH4x6Md/6pbvZspUd4OC4BAWiys8k5evTCHZoFh7XoMBeE6oFZy5czffp06x98y/AHFhtgVvtDhw5lyJAh5OTksH//fn7++Wdyc3NJTU0ltcMcgK6OERgYSExMDOnp6VRXV5OamsrixYu5++67CQsLw8/Pr9NISUNDA2lpaaxdu9Yy5XXIkCFMmTIFgFmzZpGVlcX58+dZsGABL730Er6+vla9tqqqKvbt28fatWvRarWo1Wpeeuklhg83GwXrdDpSUlLIy8ujoKDAcmspSG0RELa2tpa2RX9/f4KCgggMDLxlBEZHZDIZDz/8MLfddhtvvvkmhw4d4uTJk0yfPp0JEyZcNRdXo9FIZWUlarXaalOriooK8vPzUavVllzwhg0bSE5OxsXFhWeeeeaW/bsJzPTs2ZPExEQWGQwc3LgRGRBK54JjXZtApcRkQuvujkGppCI4BKNMjnu6ucheLTGnZYy0z5trsrM58vXXjL3nHlzHj0fh5kbVvn3Qwdxr8Z7WOooKt0AA3IsvLOBXNh+8sfnhlshGN2rDpqkOJBJ0NnYXbOts3pvc3Z3b7rwTg05H8rZtXR+4E9ZJ4S/G1t/bX4xm064zQD1w79+mic6TLvmDi40WWgRDYGAg06ZNQ6PRUFBQQGFhIQUFBVRUVFhSIzKZzBL5CAgIwM/Pz3IxMBqN7N27l3Xr1pGbm8s775jLtuVyOd7e3iiVSqRSKQaDgYqKCkpLSykuLsbb2xsnJyemTZvG2LFjLW9GlUrFwoULmT9/PpmZmTz99NMMGTKE4cOHExoaipubGxKJBJPJRHl5OYWFheTk5PDLL79w8uRJSypk0KBBPP300+1W3wqFgn79+tGvX7/f+bf9x2Dw4MG88847fPjhhxw+fJiPPvqIpKQkHnzwQQYOHHjFXyi1tbXo9Xq8vLys2r9FPNrZ2REeHo5UKuXo0aN8+eWXADz33HNWm4EJ/tj06dOHRYsWscRo5PDmzciAYLqPcEgN5iiDUSalrLkuyz09HZqDt7aYC087XtJrSkooWbsWtylTcBg0CIW7O+Vbt2JqbGy3X4vgMEjlKOurUNdeWFOmbD7Bhkvw2TDIlRilcpSNta13DgT2XCg0bPz8cL/7biptbDi9bRtN2o7xmovTVqCtkcAAE4QAzsCiRW/d9HYANzI3hdjoiKurK66url1ahXeFVCpl1KhRxMXFkZSUxLFjx8jKyqKwsLBTU6icnBy0Wi1jx45l4cKFnbbDenp68s477/DRRx+xe/du9u3bx549ezCZTEilUhQKBYYOVdJgFjjR0dGMGTOGIUOGCDV9DWjxEzl06BAffvghmZmZLF26lICAAP785z8TFxdnde1PR1o6h6xtIS4uLkYmk1nqbjIzM3n99dctfhoxMTGXdR6CPybR0dHMmzePezZvJhezu2hgm+3rOpRfSXXmAlG9yhZNcAguWVnYVlZaxIacVjfMjvxUU8PQr77CZfx4bHv3xm3KFCqTktB3UqSut7Gl0dYJo0yOzNB+NoklstEsNlpOsTuxUac2f35sGswFnov3AB1aX6W2tjgOHYo6KopygwE2b6Y0I4NOGQMkYX7d3aRSGkyw1GQWcU7A8qysTp18BS3cIpGNq41cLmf8+PGMHz8eMKdLCgsL0ev1GI1Gi9HS3r17+fzzz/Hy8urWd8POzo7nnnuOadOmsXPnTj799FPOnDlDQECAZeXr7OyMt7c3Xl5eREVFMXjw4Muq8RBcOoMHDyYqKoodO3awadMmcnJyePPNN/nkk0+Ii4tj+PDhVrettlBfXw+Y//YXo8Vd1GQy0aNHD8rKyliyZAkNDQ2MGDFC+GkIOiU2Npav9u1jdVwcRzGnQYLoPMKhbF7lV/n6olepcCxqMxNkDLxXBAt2df1cP+v1sHUrd+bl4Tx6NJ4PPohm2zYaOvgdOVYVUu4RSqlnGF6FZ9pt61ggqm7OWNZcuNay0OLV4Vp23hLRaEtmnz4MGz0aQ00NWYWFnE1KoqakxLJdrlQSPmYMEpmM+4Z6cbKhAg/3FDy/SUHmYehUcNSbINFkTp+4Aityc8UQwYsixMZVQaVSERwcfMH90dHRfP7556SkpFh1HA8PD6ZNm0ZBQQEqlYoXXniBuLg4pFKpiFxcZ1QqFQkJCUycOJEff/yRDRs2kJuby9GjR9myZQtqtRpnZ2ecnJxwcnKydJe0/N0cHBzQtgnbFhYWUltby9GjR3Fzc8PNzY3w8HBCQ0MveO68vDxkMhne3t5UV1ezZMkSNBoNERERPPvss+K9IeiS4cOHo9u1i7dHj8YIDJLA3zrZT6bTYVOnpcI/AEV9Pe4tImGM+cdIL7Bm6pT2+HH0FRW4xsfjNmkS5d99R0N6umW7d+4JSnv05nyvODyKU5EZW5VEx8iGe3P3dlkXw1lNQJFPH+yri3HW5IKmtTZk8R6wHzCAiJEjKamrI+3QIYo6+R4Oio3F67bbqCktRWbUUengT4VjICXj+hC5fT3SDk3EWhMsbxYa7sCK/Px2XjeCrhBi45rS0q1SW1t7kT3b05I2USgUN9RYeYE5qjV69GhGjRpFRkYGhw4dIikpibKyMrRaLflt2+ja4O/v3y7VZjQa0Wg0/Pbbb8hkMsvfPCoqiv79+zN27FgCAwPR6XTk5uaiVCrJyMjg448/prKyEl9fX+bPny/8NAQXZdSoUTj++isrV65kz/r1aIB5mAs/2+J75AgpEyZiV1eOmhJ4oP32H5oDaHeu7fq5DgBDsrMp+89/8Lj/ftwmTaJs40bmh2QDoNA14FCZT6VrEI0qR+zqWtvs24oNkwncWsRGFwbJWgdPmlSOuJdmIumQbFkyEk5H+/FfjYZj69fT0DyPqiOugYEM8dYztOgLpMlGGuV2HOvzEASBYYwMqbFZbHwFGhMsNkEV4D9zJosXL76kTjLBlSHERje0FAvV19djMpmsXoG2GJCJC8mNi0QiITQ0lNDQUP7yl79QXV1NVVWV5aZrNvsxmUyYTCaLoGj5P5jtxcvLy9FoNJSVlXHy5EkyMjI4ceIEn376KX5+fpbOoKKiIioqKggODiY4OJjnn3/+d5uLI7j5GThwIK+99hpLVCpOfPklL5tgMeDe5ivJO/kUcttGvNKSkYzp+lg/TANDsYK7dukt7+WO6MrKKNuwAff77sN5zBhMmR9b0jcGuYp69YW1SjIJ2ElBKgGdETwU5pRPRRfFIk02tkiNemw7KTYF0Np7MD5EzoFPWoXGDx0yjqkBxVQ3yjFKpEhMJs77xdFkY4+6oQy5sTWkUjgFFm2EYsD3r39lyZIlYorrJWG9LXlXCLHRDUqlEjs7O2pqasjIyLB0trT4ebR4e7T81Gq1lJSUkJycDAixcbMgkUgs6ZMrobGxkV9//ZXt27dz5MgRioqKyMvLQy6X4+joiKurKxMmTGDcuHEidSK4ZEJDQ/nHP/5Bor09WXl5zNm6lcSHIcgJKAUFDfhwEi5SflDo1peM20azaKQUZ00uC9fsoU6juWC/BeGF/PPECYYMD6Wm3AvHqiIabezQOrjjWJHfLqrRggmoNZiLUb1tzHUceY3QZASbDkWtRpkCo1SOxNS525ZL+XkKfPqzNjEcT+1Zs5d4BxSGRups3am0D6DQMxqNcwjONTn0Tf/WIo4ya2BxGlTGxxMWFkZiYiKOjo7d/5IEHRBplGuKRCLBz8+P1NRUZs+ebZWfQksXSs+ePenbt+/vcJaCGwWlUsmwYcMYNmwYer2elJQU0tPTkUqleHt7ExMTc9ndLwIBQI8ePVi1ahUrVqzgNPDS/q3MGQCxXnTbfdFCra0H2S5DUTTWYaOrQ+MezKKn7HErzSDg/KELOkz+L7iWTDtnDM0j5Ut8+qK19yD85NZOjy9tvsIbTWC3z4S7r4TcRshugLAOtdTqmjIAckKHYFAoUdeUYl9TgrJ5RkpA5kGK+/Ylw+0OnBtysbnAmgxsdFqMEikpIRNR6apxr0gjPPN/yEzmtOZPJfDWeWgKjyc6Opr58+eLwWqXhRAb15ynnnqK06dPs2nTJrRaLU1NTchksnY3qVSKTCZDpVLh7u5OUFAQjz/+uFi93sLI5XIiIyOJjIy83qci+IPh4ODA0qVLefPNN9kPLKuFKclbmeEB8q4mEjRHBSqCzLUWzppcAs/9hF6hIjt0KDkhfyI/cADuxan0KDiNsyYXg1xJiXcfJCYjdtpKAOrUbkiMejyK0zp9mpanb4lVhNpCbiOcrbtQbKjqKwlLSSKz1wjOh8WhaKpDZ2OHXZ0Gn+xjeBWcJvjwT6SHj+Y35wcIrDuAXUMlUqOOOpUrNWovStxuo8nGAb1MRUDRIQKKDiPBLHa+OA/ri4C+8YwePZrZs2eLaPN1RGLqKmknEAgEghsWk8nE5s2b+eyzzzAYDPTO2MpLfcCz7SK0xW+iWWzoFLYcj72fOrUbdrVlNKhd6HkmCZNMQaFfJFp7cx2D1KhHptehs7HFN+cYoWd3A3Aq5h4q3IOJ2/nGBedjNMHdyeafGyNAsdfE7t27efO+0USq4dUuZkDqFCpqHXpQp3ah2tmHcs9QDDIb5LoGwpO/p1GpptA/mloHz9YFdgOoJBUYZCrkujoMMiVRqf/BrrECrR5Wn4GjGpAOmMxjjz3GpEmTxOLvMjEbUyZ1s31Ml7U/7fYTYkMgEAhuXs6ePcvKlSspKytDfWorz4fD4I7+VG3qHfQyG6pdfKm1dyc/aCBNNmpC0vbil3UErYMnxT59qHXwRGrQYV9TSlD6fkv9Q3L/KZR7hBK38x8X+H1U6OChFHCUw9o+wG4TWq2WBx98EMNPm/n0NnC1IrCgl9lQ5BdJds8hqLQVhKbuQVVfTVmPMPQeNhikCmwLq3BQFmJXX0ZqyERKXMMZ+tu7FFY3sjwZCkzgEPsAL7/8snBhvkLMYmN/N9uHWSU2/rhjQAUCgeAWIDw8nHfeeYfY2Fi0kfEsV8Tz/9JB38WUU7mhCdey8wRk/UrML5+jqq8iNyiWBltH7GtKCEr/GanRQJVrADkhfyI1Yjz65poNeVMDyvoqjJILLx3lzeUebm2S82q1mgEDBmACfq6y7vXIDU34ZR8l4ugG6hw9SI0Yj6JJi2/OMQKPHiTk15/wzjuJfUYpDTZOaJyCUTZW8kthIy8cg4J6CJ7wDG+99ZYQGlcNVTc36xBiQyAQCG5yHBwcWLhwIY8//jgymYzvPOJ58Rhk1DTv0IVvlbJRS9iZJAxSORnho2hU2JISORGNexD2VYU4VBVQ7BPByYH3oVOoMMoVNNo6tY50bUOL2HBVALtbV7rDhw+H2+PZb6XYaMGpqgC/84dpUtpT6Hth7ZPGPZjjwdOo1ZSxcfMWVp2BBgUM/9tKVq1aZRl2KLgxEAWiAoFA8AdAIpGQkJBAeHg4q1atIpN4nj+6lQQ/mBbc9RrUtfw8LhW5lHn2QjMiGJNURkDGAYIyDgCQ0Xsk+YEDOB77gGWGiUkixTwztZWiZvMutw6pktjYWGxsbDjTL56yiq24WzckGQD/84cp8bqNrLDheBadRWdjS72dC6Ve4RS79+RAaha/7NuLyaYWO3uY8c//cdddd4n6jKvOlXejiJoNgUAg+IPR0NDA2rVr+fa1xzEBYY0w0Q1GurS2p7alSWHLsdsfQlVfiVtpBn5ZR1pHxAM5IYMp8e5DndoNgGFJbyEztnfrWpAJJ2thti9IV+/gt99+Q6FQkJ+fT0ZGBmVlZTxU+jNP+l7aaynw64fGoyc1jj1w0eRQ7N2HvLIKtiftorwwD5mDnmFPvM4TTzzRbnK24OpgrtlI72Z7qCgQFQgEgluZ9PR0vv76aw6uWYSkCoJVMK0HDHQ0O362xSBTIDHousyt5wYNJLPXHbiWZRJ5bGO7bVV6+L9kKGyC0DunWFyUfXx8KCgooLa2ljNnzqBUKnlJlUuCO/hbuVg2YXYiPTDkESoO7GB7uZH04grkg+7E09OTp556ikGDBl3S70VgPWaxceFU9Nbt/kJsCAQCwa2OyWSyTLAu2/IpYK6ruNMFxrqC5yWkNSpd/DBJZLhosi335TbAkvOwtRycgnvRq1cvIiIiGDFiBD4+PkilUpKTk1m/fj01NTX0TN5JbiNE25ujLdH2oOpmhFRhI/xQATs1ZlEDoLzjz0ycOJEHHnjAMlZCYB3bt2/n2WefxWAw8Pjjj/Pyyy93u78QGwKBQCCwmqamJr7//nu2bdtGwYaPAHPEoL8DjHOFWIduTME6YDJBah1sKYefKs1zUE5r4e4FrzN9+vQuJ6lmZ2fzww8/sH3+E5bpsFIJBKkg3A68bMznpDWYzcBS6kDTxtQ08P7ZTJgwgREjRqBWWzPHVtAWg8FAr169+OGHH/Dz82PQoEF89dVX9OnTp8vHmMVG1/a0EomHEBsCgUAgaI/JZCI5OZkdO3Zw4MABdPs2AeAkhz85Qh813NZy4W+TajGaIL/RXJexXQNZDeb75RIY4wL3/Vxi9XCz2tpadu3axZ6np3C+wXzsjnjbQOGAeNRqNbGxsdx1112Eh4eL4s8r4JdffiExMZEdO3YA8NprrwEwb968Lh9jFhs13Wx3sEpsiG4UgUAguIWQSCQWK/2amhr27HmYHTt2kJOTww5gB+Dr60vpxg9xk5vFhExi7jZpaPHuuD0eJycn7rzzTiZMmHDJE1Tt7e1JSEggIcFEQ0MD6enpnD17lsrKSsA8ZygkJITAwEB8fX2FwLhK5Ofn4+/vb/m/n58fhw4duujjBg6844qfW4gNgUAguEVxcHBg8uTJTJo0ifT0dJKTkzl9+jRarZb8wfEUdtjfw8ODsLAwhg4dyu23335VZo2oVCoiIiKIiIi44mMJrj5XK/khxIZAIBDc4kgkEsLCwggLC+Puu+8GQKvVUllZicFgQK/X4+rqirOz8/U9UcEV4evrS25ua7FnXl4evr6X2It8mYiaDYFAIBAIbgH0ej29evVi165d+Pr6MmjQINatW0ffvn2v+XOLyIZAIBAIBLcAcrmc9957j3HjxmEwGHj00Ud/F6EBIrIhEAgEAoHgGiMGsQkEAoFAILimCLEhEAgEAoHgmiLEhkAgEAgEgmuKEBsCgUAgEAiuKUJsCAQCgUAguKYIsSEQCAQCgeCaIsSGQCAQCASCa4oQGwKBQCAQCK4pQmwIBAKBQCC4pgixIRAIBAKB4JoixIZAIBAIBIJryv8HeCt2cGTmbPAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coefficient_values = parse_coefficient_values(X, logistic_model.coef_.ravel())\n",
    "for measurement in MEASUREMENT_DICT.values():\n",
    "    plot_coefficient_values(coefficient_values, measurement)"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}