8_plumed_WTmetad_t1wtmd2_DNA_torsion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using PLUMED to do MetaDynamics\n",
    "\n",
    "- Well tempered MetaD of torsion angle\n",
    "- here we make walls less steep exp 2, and also make them further away to sample neagtive supercoils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plumed_run_suffix\n",
    "prs='t1wtmd2'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t1wtmd2.dat\n",
      "t1wtmd2.dat\n",
      "t1wtmd2\\.dat\n"
     ]
    }
   ],
   "source": [
    "!echo $prs\\.dat\n",
    "!echo \"`echo $prs`.dat\"\n",
    "!echo \"$prs\\.dat\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "# MD simulations of a tetrasome, 61 DNA bp, histone tails maximally truncated\n",
       "- AMBER14SB force field with CUFIX\n",
       "- 150 mM NaCl\n",
       "- box 2nm\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folder set to:  h3-h4_tm_2_60DNA\n",
      "Project name:  h3-h4_tm_2_60DNA\n",
      "SSH host set to: lomo2k\n"
     ]
    }
   ],
   "source": [
    "#Libraries and main variables initialized\n",
    "import MDAnalysis as mda\n",
    "from MDAnalysis.analysis import align\n",
    "from MDAnalysis.analysis.rms import rmsd\n",
    "import numpy as np\n",
    "import urllib.request, json\n",
    "import os\n",
    "import re\n",
    "import nglview as nv\n",
    "from funcs import get_files_from_git\n",
    "from funcs import view_nucl\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import MDAnalysis.analysis.pca as pca\n",
    "import MDAnalysis.analysis.encore as encore\n",
    "from MDAnalysis.analysis.rms import RMSF\n",
    "\n",
    "from seq_tools.plot4seq import plot_prof4seq\n",
    "from Bio.Align import MultipleSeqAlignment\n",
    "from Bio.Seq import Seq\n",
    "from Bio.SeqRecord import SeqRecord\n",
    "from Bio.SeqUtils import seq1\n",
    "from seq_tools.hist_ss import get_hist_ss_in_aln_for_shade\n",
    "import numpy as np\n",
    "import xvg_plot as xvg\n",
    "import xpm_plot as xpm\n",
    "\n",
    "#Reloading funcs if changed\n",
    "from importlib import reload \n",
    "import funcs,config\n",
    "reload(funcs)\n",
    "reload(config)\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "#%load_ext rpy2.ipython\n",
    "\n",
    "from config import movtitle\n",
    "from IPython.display import Markdown, display\n",
    "from config import folder,descr,pname,ssh_host\n",
    "display(Markdown(descr))\n",
    "print(\"Folder set to: \",folder)\n",
    "print(\"Project name: \",pname)\n",
    "print(\"SSH host set to:\",ssh_host)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CVs should be tested in notebook 7_plumed...."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DNA angle, prepare CV and plumed file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c2ce6cd741e74cd2854422ab137d9d29",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "NGLWidget()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "import MDAnalysis as mda\n",
    "import MDAnalysis.analysis.hbonds\n",
    "import MDAnalysis.analysis.distances\n",
    "\n",
    "#Let's load a structure with hydrogens, assumed the numbering is the same with full system, since water and ions are added to the end.\n",
    "sys=mda.Universe(\"GMX_system/sys_ref.pdb\")\n",
    "#sys=mda.Universe(\"GMX_system/sys_ref.pdb\",'big_data/sys_md.xtc')\n",
    "\n",
    "\n",
    "#the chains have already been renamed by gromacs I=>A J=>B\n",
    "\n",
    "sel_end1=\"(segid I and resnum -30 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6)) or (segid J and resnum 30 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6))\"\n",
    "sel_int1=\"(segid I and resnum -5 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6)) or (segid J and resnum 5 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6))\"\n",
    "sel_int2=\"(segid I and resnum 5 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6)) or (segid J and resnum -5 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6))\"\n",
    "sel_end2=\"(segid I and resnum 30 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6)) or (segid J and resnum -30 and (name N1 N3 N4 N6 N7 N9 C2 C4 C5 C6 C7 C8 C4 O2 O6))\"\n",
    "\n",
    "\n",
    "E1=sys.select_atoms(sel_end1)\n",
    "E2=sys.select_atoms(sel_end2)\n",
    "I1=sys.select_atoms(sel_int1)\n",
    "I2=sys.select_atoms(sel_int2)\n",
    "#print(','.join([str(i.id) for i in E1.atoms]))\n",
    "\n",
    "a=nv.show_mdanalysis(sys)\n",
    "#a.clear_representations()\n",
    "#a.add_representation('licorice',selection='all')\n",
    "a.add_representation('spacefill',selection='@'+','.join([str(i.id-1) for i in E1.atoms]))\n",
    "a.add_representation('spacefill',selection='@'+','.join([str(i.id-1) for i in E2.atoms]), color='magenta')\n",
    "a.add_representation('spacefill',selection='@'+','.join([str(i.id-1) for i in I1.atoms]))\n",
    "a.add_representation('spacefill',selection='@'+','.join([str(i.id-1) for i in I2.atoms]), color='magenta')\n",
    "a.camera = 'orthographic'\n",
    "a\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WHOLEMOLECULES ENTITY0=1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,996,997,998,999,1000,1001,1002,1003,1004,1005,1006,1007,1008,1009,1010,1011,1012,1013,1014,1015,1016,1017,1018,1019,1020,1021,1022,1023,1024,1025,1026,1027,1028,1029,1030,1031,1032,1033,1034,1035,1036,1037,1038,1039,1040,1041,1042,1043,1044,1045,1046,1047,1048,1049,1050,1051,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061,1062,1063,1064,1065,1066,1067,1068,1069,1070,1071,1072,1073,1074,1075,1076,1077,1078,1079,1080,1081,1082,1083,1084,1085,1086,1087,1088,1089,1090,1091,1092,1093,1094,1095,1096,1097,1098,1099,1100,1101,1102,1103,1104,1105,1106,1107,1108,1109,1110,1111,1112,1113,1114,1115,1116,1117,1118,1119,1120,1121,1122,1123,1124,1125,1126,1127,1128,1129,1130,1131,1132,1133,1134,1135,1136,1137,1138,1139,1140,1141,1142,1143,1144,1145,1146,1147,1148,1149,1150,1151,1152,1153,1154,1155,1156,1157,1158,1159,1160,1161,1162,1163,1164,1165,1166,1167,1168,1169,1170,1171,1172,1173,1174,1175,1176,1177,1178,1179,1180,1181,1182,1183,1184,1185,1186,1187,1188,1189,1190,1191,1192,1193,1194,1195,1196,1197,1198,1199,1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211,1212,1213,1214,1215,1216,1217,1218,1219,1220,1221,1222,1223,1224,1225,1226,1227,1228,1229,1230,1231,1232,1233,1234,1235,1236,1237,1238,1239,1240,1241,1242,1243,1244,1245,1246,1247,1248,1249,1250,1251,1252,1253,1254,1255,1256,1257,1258,1259,1260,1261,1262,1263,1264,1265,1266,1267,1268,1269,1270,1271,1272,1273,1274,1275,1276,1277,1278,1279,1280,1281,1282,1283,1284,1285,1286,1287,1288,1289,1290,1291,1292,1293,1294,1295,1296,1297,1298,1299,1300,1301,1302,1303,1304,1305,1306,1307,1308,1309,1310,1311,1312,1313,1314,1315,1316,1317,1318,1319,1320,1321,1322,1323,1324,1325,1326,1327,1328,1329,1330,1331,1332,1333,1334,1335,1336,1337,1338,1339,1340,1341,1342,1343,1344,1345,1346,1347,1348,1349,1350,1351,1352,1353,1354,1355,1356,1357,1358,1359,1360,1361,1362,1363,1364,1365,1366,1367,1368,1369,1370,1371,1372,1373,1374,1375,1376,1377,1378,1379,1380,1381,1382,1383,1384,1385,1386,1387,1388,1389,1390,1391,1392,1393,1394,1395,1396,1397,1398,1399,1400,1401,1402,1403,1404,1405,1406,1407,1408,1409,1410,1411,1412,1413,1414,1415,1416,1417,1418,1419,1420,1421,1422,1423,1424,1425,1426,1427,1428,1429,1430,1431,1432,1433,1434,1435,1436,1437,1438,1439,1440,1441,1442,1443,1444,1445,1446,1447,1448,1449,1450,1451,1452,1453,1454,1455,1456,1457,1458,1459,1460,1461,1462,1463,1464,1465,1466,1467,1468,1469,1470,1471,1472,1473,1474,1475,1476,1477,1478,1479,1480,1481,1482,1483,1484,1485,1486,1487,1488,1489,1490,1491,1492,1493,1494,1495,1496,1497,1498,1499,1500,1501,1502,1503,1504,1505,1506,1507,1508,1509,1510,1511,1512,1513,1514,1515,1516,1517,1518,1519,1520,1521,1522,1523,1524,1525,1526,1527,1528,1529,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1542,1543,1544,1545,1546,1547,1548,1549,1550,1551,1552,1553,1554,1555,1556,1557,1558,1559,1560,1561,1562,1563,1564,1565,1566,1567,1568,1569,1570,1571,1572,1573,1574,1575,1576,1577,1578,1579,1580,1581,1582,1583,1584,1585,1586,1587,1588,1589,1590,1591,1592,1593,1594,1595,1596,1597,1598,1599,1600,1601,1602,1603,1604,1605,1606,1607,1608,1609,1610,1611,1612,1613,1614,1615,1616,1617,1618,1619,1620,1621,1622,1623,1624,1625,1626,1627,1628,1629,1630,1631,1632,1633,1634,1635,1636,1637,1638,1639,1640,1641,1642,1643,1644,1645,1646,1647,1648,1649,1650,1651,1652,1653,1654,1655,1656,1657,1658,1659,1660,1661,1662,1663,1664,1665,1666,1667,1668,1669,1670,1671,1672,1673,1674,1675,1676,1677,1678,1679,1680,1681,1682,1683,1684,1685,1686,1687,1688,1689,1690,1691,1692,1693,1694,1695,1696,1697,1698,1699,1700,1701,1702,1703,1704,1705,1706,1707,1708,1709,1710,1711,1712,1713,1714,1715,1716,1717,1718,1719,1720,1721,1722,1723,1724,1725,1726,1727,1728,1729,1730,1731,1732,1733,1734,1735,1736,1737,1738,1739,1740,1741,1742,1743,1744,1745,1746,1747,1748,1749,1750,1751,1752,1753,1754,1755,1756,1757,1758,1759,1760,1761,1762,1763,1764,1765,1766,1767,1768,1769,1770,1771,1772,1773,1774,1775,1776,1777,1778,1779,1780,1781,1782,1783,1784,1785,1786,1787,1788,1789,1790,1791,1792,1793,1794,1795,1796,1797,1798,1799,1800,1801,1802,1803,1804,1805,1806,1807,1808,1809,1810,1811,1812,1813,1814,1815,1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936 ENTITY1=1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030,2031,2032,2033,2034,2035,2036,2037,2038,2039,2040,2041,2042,2043,2044,2045,2046,2047,2048,2049,2050,2051,2052,2053,2054,2055,2056,2057,2058,2059,2060,2061,2062,2063,2064,2065,2066,2067,2068,2069,2070,2071,2072,2073,2074,2075,2076,2077,2078,2079,2080,2081,2082,2083,2084,2085,2086,2087,2088,2089,2090,2091,2092,2093,2094,2095,2096,2097,2098,2099,2100,2101,2102,2103,2104,2105,2106,2107,2108,2109,2110,2111,2112,2113,2114,2115,2116,2117,2118,2119,2120,2121,2122,2123,2124,2125,2126,2127,2128,2129,2130,2131,2132,2133,2134,2135,2136,2137,2138,2139,2140,2141,2142,2143,2144,2145,2146,2147,2148,2149,2150,2151,2152,2153,2154,2155,2156,2157,2158,2159,2160,2161,2162,2163,2164,2165,2166,2167,2168,2169,2170,2171,2172,2173,2174,2175,2176,2177,2178,2179,2180,2181,2182,2183,2184,2185,2186,2187,2188,2189,2190,2191,2192,2193,2194,2195,2196,2197,2198,2199,2200,2201,2202,2203,2204,2205,2206,2207,2208,2209,2210,2211,2212,2213,2214,2215,2216,2217,2218,2219,2220,2221,2222,2223,2224,2225,2226,2227,2228,2229,2230,2231,2232,2233,2234,2235,2236,2237,2238,2239,2240,2241,2242,2243,2244,2245,2246,2247,2248,2249,2250,2251,2252,2253,2254,2255,2256,2257,2258,2259,2260,2261,2262,2263,2264,2265,2266,2267,2268,2269,2270,2271,2272,2273,2274,2275,2276,2277,2278,2279,2280,2281,2282,2283,2284,2285,2286,2287,2288,2289,2290,2291,2292,2293,2294,2295,2296,2297,2298,2299,2300,2301,2302,2303,2304,2305,2306,2307,2308,2309,2310,2311,2312,2313,2314,2315,2316,2317,2318,2319,2320,2321,2322,2323,2324,2325,2326,2327,2328,2329,2330,2331,2332,2333,2334,2335,2336,2337,2338,2339,2340,2341,2342,2343,2344,2345,2346,2347,2348,2349,2350,2351,2352,2353,2354,2355,2356,2357,2358,2359,2360,2361,2362,2363,2364,2365,2366,2367,2368,2369,2370,2371,2372,2373,2374,2375,2376,2377,2378,2379,2380,2381,2382,2383,2384,2385,2386,2387,2388,2389,2390,2391,2392,2393,2394,2395,2396,2397,2398,2399,2400,2401,2402,2403,2404,2405,2406,2407,2408,2409,2410,2411,2412,2413,2414,2415,2416,2417,2418,2419,2420,2421,2422,2423,2424,2425,2426,2427,2428,2429,2430,2431,2432,2433,2434,2435,2436,2437,2438,2439,2440,2441,2442,2443,2444,2445,2446,2447,2448,2449,2450,2451,2452,2453,2454,2455,2456,2457,2458,2459,2460,2461,2462,2463,2464,2465,2466,2467,2468,2469,2470,2471,2472,2473,2474,2475,2476,2477,2478,2479,2480,2481,2482,2483,2484,2485,2486,2487,2488,2489,2490,2491,2492,2493,2494,2495,2496,2497,2498,2499,2500,2501,2502,2503,2504,2505,2506,2507,2508,2509,2510,2511,2512,2513,2514,2515,2516,2517,2518,2519,2520,2521,2522,2523,2524,2525,2526,2527,2528,2529,2530,2531,2532,2533,2534,2535,2536,2537,2538,2539,2540,2541,2542,2543,2544,2545,2546,2547,2548,2549,2550,2551,2552,2553,2554,2555,2556,2557,2558,2559,2560,2561,2562,2563,2564,2565,2566,2567,2568,2569,2570,2571,2572,2573,2574,2575,2576,2577,2578,2579,2580,2581,2582,2583,2584,2585,2586,2587,2588,2589,2590,2591,2592,2593,2594,2595,2596,2597,2598,2599,2600,2601,2602,2603,2604,2605,2606,2607,2608,2609,2610,2611,2612,2613,2614,2615,2616,2617,2618,2619,2620,2621,2622,2623,2624,2625,2626,2627,2628,2629,2630,2631,2632,2633,2634,2635,2636,2637,2638,2639,2640,2641,2642,2643,2644,2645,2646,2647,2648,2649,2650,2651,2652,2653,2654,2655,2656,2657,2658,2659,2660,2661,2662,2663,2664,2665,2666,2667,2668,2669,2670,2671,2672,2673,2674,2675,2676,2677,2678,2679,2680,2681,2682,2683,2684,2685,2686,2687,2688,2689,2690,2691,2692,2693,2694,2695,2696,2697,2698,2699,2700,2701,2702,2703,2704,2705,2706,2707,2708,2709,2710,2711,2712,2713,2714,2715,2716,2717,2718,2719,2720,2721,2722,2723,2724,2725,2726,2727,2728,2729,2730,2731,2732,2733,2734,2735,2736,2737,2738,2739,2740,2741,2742,2743,2744,2745,2746,2747,2748,2749,2750,2751,2752,2753,2754,2755,2756,2757,2758,2759,2760,2761,2762,2763,2764,2765,2766,2767,2768,2769,2770,2771,2772,2773,2774,2775,2776,2777,2778,2779,2780,2781,2782,2783,2784,2785,2786,2787,2788,2789,2790,2791,2792,2793,2794,2795,2796,2797,2798,2799,2800,2801,2802,2803,2804,2805,2806,2807,2808,2809,2810,2811,2812,2813,2814,2815,2816,2817,2818,2819,2820,2821,2822,2823,2824,2825,2826,2827,2828,2829,2830,2831,2832,2833,2834,2835,2836,2837,2838,2839,2840,2841,2842,2843,2844,2845,2846,2847,2848,2849,2850,2851,2852,2853,2854,2855,2856,2857,2858,2859,2860,2861,2862,2863,2864,2865,2866,2867,2868,2869,2870,2871,2872,2873,2874,2875,2876,2877,2878,2879,2880,2881,2882,2883,2884,2885,2886,2887,2888,2889,2890,2891,2892,2893,2894,2895,2896,2897,2898,2899,2900,2901,2902,2903,2904,2905,2906,2907,2908,2909,2910,2911,2912,2913,2914,2915,2916,2917,2918,2919,2920,2921,2922,2923,2924,2925,2926,2927,2928,2929,2930,2931,2932,2933,2934,2935,2936,2937,2938,2939,2940,2941,2942,2943,2944,2945,2946,2947,2948,2949,2950,2951,2952,2953,2954,2955,2956,2957,2958,2959,2960,2961,2962,2963,2964,2965,2966,2967,2968,2969,2970,2971,2972,2973,2974,2975,2976,2977,2978,2979,2980,2981,2982,2983,2984,2985,2986,2987,2988,2989,2990,2991,2992,2993,2994,2995,2996,2997,2998,2999,3000,3001,3002,3003,3004,3005,3006,3007,3008,3009,3010,3011,3012,3013,3014,3015,3016,3017,3018,3019,3020,3021,3022,3023,3024,3025,3026,3027,3028,3029,3030,3031,3032,3033,3034,3035,3036,3037,3038,3039,3040,3041,3042,3043,3044,3045,3046,3047,3048,3049,3050,3051,3052,3053,3054,3055,3056,3057,3058,3059,3060,3061,3062,3063,3064,3065,3066,3067,3068,3069,3070,3071,3072,3073,3074,3075,3076,3077,3078,3079,3080,3081,3082,3083,3084,3085,3086,3087,3088,3089,3090,3091,3092,3093,3094,3095,3096,3097,3098,3099,3100,3101,3102,3103,3104,3105,3106,3107,3108,3109,3110,3111,3112,3113,3114,3115,3116,3117,3118,3119,3120,3121,3122,3123,3124,3125,3126,3127,3128,3129,3130,3131,3132,3133,3134,3135,3136,3137,3138,3139,3140,3141,3142,3143,3144,3145,3146,3147,3148,3149,3150,3151,3152,3153,3154,3155,3156,3157,3158,3159,3160,3161,3162,3163,3164,3165,3166,3167,3168,3169,3170,3171,3172,3173,3174,3175,3176,3177,3178,3179,3180,3181,3182,3183,3184,3185,3186,3187,3188,3189,3190,3191,3192,3193,3194,3195,3196,3197,3198,3199,3200,3201,3202,3203,3204,3205,3206,3207,3208,3209,3210,3211,3212,3213,3214,3215,3216,3217,3218,3219,3220,3221,3222,3223,3224,3225,3226,3227,3228,3229,3230,3231,3232,3233,3234,3235,3236,3237,3238,3239,3240,3241,3242,3243,3244,3245,3246,3247,3248,3249,3250,3251,3252,3253,3254,3255,3256,3257,3258,3259,3260,3261,3262,3263,3264,3265,3266,3267,3268,3269,3270,3271,3272,3273,3274,3275,3276,3277,3278,3279,3280,3281,3282,3283,3284,3285,3286,3287,3288,3289,3290,3291,3292,3293,3294,3295,3296,3297,3298,3299,3300,3301,3302,3303,3304,3305,3306,3307,3308,3309,3310,3311,3312,3313,3314,3315,3316,3317,3318,3319,3320,3321,3322,3323,3324,3325,3326,3327,3328,3329,3330,3331,3332,3333,3334,3335,3336,3337,3338,3339,3340,3341,3342,3343,3344,3345,3346,3347,3348,3349,3350,3351,3352,3353,3354,3355,3356,3357,3358,3359,3360,3361,3362,3363,3364,3365,3366,3367,3368,3369,3370,3371,3372,3373,3374,3375,3376,3377,3378,3379,3380,3381,3382,3383,3384,3385,3386,3387,3388,3389,3390,3391,3392,3393,3394,3395,3396,3397,3398,3399,3400,3401,3402,3403,3404,3405,3406,3407,3408,3409,3410,3411,3412,3413,3414,3415,3416,3417,3418,3419,3420,3421,3422,3423,3424,3425,3426,3427,3428,3429,3430,3431,3432,3433,3434,3435,3436,3437,3438,3439,3440,3441,3442,3443,3444,3445,3446,3447,3448,3449,3450,3451,3452,3453,3454,3455,3456,3457,3458,3459,3460,3461,3462,3463,3464,3465,3466,3467,3468,3469,3470,3471,3472,3473,3474,3475,3476,3477,3478,3479,3480,3481,3482,3483,3484,3485,3486,3487,3488,3489,3490,3491,3492,3493,3494,3495,3496,3497,3498,3499,3500,3501,3502,3503,3504,3505,3506,3507,3508,3509,3510,3511,3512,3513,3514,3515,3516,3517,3518,3519,3520,3521,3522,3523,3524,3525,3526,3527,3528,3529,3530,3531,3532,3533,3534,3535,3536,3537,3538,3539,3540,3541,3542,3543,3544,3545,3546,3547,3548,3549,3550,3551,3552,3553,3554,3555,3556,3557,3558,3559,3560,3561,3562,3563,3564,3565,3566,3567,3568,3569,3570,3571,3572,3573,3574,3575,3576,3577,3578,3579,3580,3581,3582,3583,3584,3585,3586,3587,3588,3589,3590,3591,3592,3593,3594,3595,3596,3597,3598,3599,3600,3601,3602,3603,3604,3605,3606,3607,3608,3609,3610,3611,3612,3613,3614,3615,3616,3617,3618,3619,3620,3621,3622,3623,3624,3625,3626,3627,3628,3629,3630,3631,3632,3633,3634,3635,3636,3637,3638,3639,3640,3641,3642,3643,3644,3645,3646,3647,3648,3649,3650,3651,3652,3653,3654,3655,3656,3657,3658,3659,3660,3661,3662,3663,3664,3665,3666,3667,3668,3669,3670,3671,3672,3673,3674,3675,3676,3677,3678,3679,3680,3681,3682,3683,3684,3685,3686,3687,3688,3689,3690,3691,3692,3693,3694,3695,3696,3697,3698,3699,3700,3701,3702,3703,3704,3705,3706,3707,3708,3709,3710,3711,3712,3713,3714,3715,3716,3717,3718,3719,3720,3721,3722,3723,3724,3725,3726,3727,3728,3729,3730,3731,3732,3733,3734,3735,3736,3737,3738,3739,3740,3741,3742,3743,3744,3745,3746,3747,3748,3749,3750,3751,3752,3753,3754,3755,3756,3757,3758,3759,3760,3761,3762,3763,3764,3765,3766,3767,3768,3769,3770,3771,3772,3773,3774,3775,3776,3777,3778,3779,3780,3781,3782,3783,3784,3785,3786,3787,3788,3789,3790,3791,3792,3793,3794,3795,3796,3797,3798,3799,3800,3801,3802,3803,3804,3805,3806,3807,3808,3809,3810,3811,3812,3813,3814,3815,3816,3817,3818,3819,3820,3821,3822,3823,3824,3825,3826,3827,3828,3829,3830,3831,3832,3833,3834,3835,3836,3837,3838,3839,3840,3841,3842,3843,3844,3845,3846,3847,3848,3849,3850,3851,3852,3853,3854,3855,3856,3857,3858,3859,3860,3861,3862,3863,3864,3865,3866,3867,3868,3869,3870,3871,3872\r\n",
      "end1: GROUP ATOMS=11,12,14,16,17,20,21,22,3851,3852,3854,3855,3856,3857,3858,3860,3864,3865\r\n",
      "end2: GROUP ATOMS=1915,1916,1918,1919,1920,1921,1922,1924,1928,1929,1947,1948,1950,1952,1953,1956,1957,1958\r\n",
      "int1: GROUP ATOMS=802,803,805,807,808,811,812,813,3054,3055,3057,3058,3059,3060,3061,3063,3067,3068\r\n",
      "int2: GROUP ATOMS=1118,1119,1121,1122,1123,1124,1125,1127,1131,1132,2738,2739,2741,2743,2744,2747,2748,2749\r\n",
      "com_end1: COM ATOMS=end1\r\n",
      "com_end2: COM ATOMS=end2\r\n",
      "com_int1: COM ATOMS=int1\r\n",
      "com_int2: COM ATOMS=int2\r\n",
      "t1: TORSION ATOMS=com_end1,com_int1,com_int2,com_end2 NOPBC\r\n",
      "uwall: UPPER_WALLS ARG=t1 AT=0.9 KAPPA=150.0 EXP=2 EPS=0.05 OFFSET=0\r\n",
      "lwall: LOWER_WALLS ARG=t1 AT=-0.9 KAPPA=150.0 EXP=2 EPS=0.05 OFFSET=0\r\n",
      "meta: METAD ARG=t1 SIGMA=0.05 BIASFACTOR=10.0 TEMP=300.0  HEIGHT=1 PACE=500 FILE=../HILLS_t1wtmd2.dat GRID_MIN=-pi GRID_MAX=pi WALKERS_MPI\r\n",
      "PRINT ARG=t1,uwall.bias,lwall.bias FILE=../colvar_t1wtmd2.dat STRIDE=500\r\n"
     ]
    }
   ],
   "source": [
    "from numpy.linalg import norm\n",
    "#print(\"Initial angle =\",Dihedral([E1,I1,I2,E2]),\"\")\n",
    "end1at=','.join([str(i.id) for i in E1.atoms])\n",
    "end2at=','.join([str(i.id) for i in E2.atoms])\n",
    "int1at=','.join([str(i.id) for i in I1.atoms])\n",
    "int2at=','.join([str(i.id) for i in I2.atoms])\n",
    "chainIat=','.join([str(i.id) for i in sys.select_atoms(\"segid I\").atoms])\n",
    "chainJat=','.join([str(i.id) for i in sys.select_atoms(\"segid J\").atoms])\n",
    "\n",
    "\n",
    "#Now let's write a plumed.dat file\n",
    "#NOTE: wholemolecules and NOPBC are crucial!!!\n",
    "\n",
    "!echo \"WHOLEMOLECULES ENTITY0=$chainIat ENTITY1=$chainJat\" >GMX_run/plumed_$prs\\.dat\n",
    "!echo \"end1: GROUP ATOMS=$end1at\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"end2: GROUP ATOMS=$end2at\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"int1: GROUP ATOMS=$int1at\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"int2: GROUP ATOMS=$int2at\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"com_end1: COM ATOMS=end1\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"com_end2: COM ATOMS=end2\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"com_int1: COM ATOMS=int1\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"com_int2: COM ATOMS=int2\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"t1: TORSION ATOMS=com_end1,com_int1,com_int2,com_end2 NOPBC\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"uwall: UPPER_WALLS ARG=t1 AT=0.9 KAPPA=150.0 EXP=2 EPS=0.05 OFFSET=0\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"lwall: LOWER_WALLS ARG=t1 AT=-0.9 KAPPA=150.0 EXP=2 EPS=0.05 OFFSET=0\" >>GMX_run/plumed_$prs\\.dat\n",
    "\n",
    "!cp GMX_run/plumed_$prs\\.dat GMX_run/plumed_$prs\\_MD.dat #multiple walkers verion for multidir option in GROMACS\n",
    "\n",
    "!echo \"meta: METAD ARG=t1 SIGMA=0.05 BIASFACTOR=10.0 TEMP=300.0  HEIGHT=1 PACE=500 FILE=HILLS_`echo $prs`.dat GRID_MIN=-pi GRID_MAX=pi WALKERS_MPI\" >>GMX_run/plumed_$prs\\.dat\n",
    "!echo \"PRINT ARG=t1,uwall.bias,lwall.bias FILE=colvar_`echo $prs`.dat STRIDE=500\" >>GMX_run/plumed_$prs\\.dat\n",
    "\n",
    "!echo \"meta: METAD ARG=t1 SIGMA=0.05 BIASFACTOR=10.0 TEMP=300.0  HEIGHT=1 PACE=500 FILE=../HILLS_`echo $prs`.dat GRID_MIN=-pi GRID_MAX=pi WALKERS_MPI\" >>GMX_run/plumed_$prs\\_MD.dat\n",
    "!echo \"PRINT ARG=t1,uwall.bias,lwall.bias FILE=../colvar_`echo $prs`.dat STRIDE=500\" >>GMX_run/plumed_$prs\\_MD.dat\n",
    "\n",
    "\n",
    "#UPPER_WALLS ARG=d1,d2 AT=1.0,1.5 KAPPA=150.0,150.0 EXP=2,2 EPS=1,1 OFFSET=0,0 LABEL=uwall\n",
    "#LOWER_WALLS ARG=d1,d2 AT=0.0,1.0 KAPPA=150.0,150.0 EXP=2,2 EPS=1,1 OFFSET=0,0 LABEL=lwall\n",
    "\n",
    "\n",
    "#!echo \"PRINT ARG=t1 FILE=colvar.dat STRIDE=10\" >>GMX_run/plumed_t1.dat\n",
    "!cat GMX_run/plumed_$prs\\_MD.dat\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare new tpr-file!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !cp GMX_run/7_prod.tpr GMX_run/plumed_$prs\\_7_prod.tpr\n",
    "# !cp GMX_run/7_prod_10ps_out.tpr GMX_run/plumed_$prs\\_7_prod_10ps_out.tpr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash -s \"$prs\" \n",
    "for i in `seq 0 15`; do\n",
    "mkdir -p GMX_run/$i\n",
    "cp GMX_run/7_prod_$i.tpr GMX_run/$i/plumed_$1\\_7_prod.tpr\n",
    "cp GMX_run/plumed_$1\\_MD.dat GMX_run/$i/\n",
    "done"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# =============Run============="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mpirun -np 4 mdrun_mpi -ntomp 8 -deffnm plumed_t1wtmd_7_prod -plumed plumed_t1wtmd_MD.dat -multidir 0 1 2 3\n"
     ]
    }
   ],
   "source": [
    "%%bash -s \"$prs\" \n",
    "#Local run\n",
    "#cd GMX_run\n",
    "#mpirun -np 1  mdrun_mpi -ntomp 10 -deffnm plumed_7_prod -plumed plumed_t1.dat \n",
    "#mpirun -np 1  mdrun_mpi -ntomp 10 -deffnm plumed_7_prod_10ps_out -plumed plumed_t1.dat \n",
    "#mpirun -np 4 mdrun_mpi -ntomp 10 -deffnm plumed_7_prod_10ps_out_walker -plumed plumed_t1.dat -multi 4\n",
    "echo \"mpirun -np 4 mdrun_mpi -ntomp 8 -deffnm plumed_${1}_7_prod -plumed plumed_${1}_MD.dat -multidir `seq -s ' ' 0 3`\"\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n",
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n",
      "sending incremental file list\n",
      "GMX_run/lomo2_run_plumed.sh\n",
      "          1,199 100%  487.30kB/s    0:00:00 (xfr#1, to-chk=531/699)\n",
      "GMX_run/lomo2_run_plumed_multi.sh\n",
      "          1,242 100%    1.18MB/s    0:00:00 (xfr#2, to-chk=530/699)\n",
      "GMX_run/plumed_d1abmd_7_prod_10ps_out.edr\n",
      "      1,387,456 100%   94.51MB/s    0:00:00 (xfr#3, to-chk=448/699)\n",
      "GMX_run/plumed_d1abmd_7_prod_10ps_out.log\n",
      "      1,383,186 100%   50.73MB/s    0:00:00 (xfr#4, to-chk=447/699)\n",
      "GMX_run/plumed_d1abmd_7_prod_10ps_out_pullx.xvg\n",
      "      1,155,072 100%    6.52MB/s    0:00:00 (xfr#5, to-chk=443/699)\n",
      "GMX_run/plumed_t1abmdm_7_prod_10ps_out.edr\n",
      "          4,756 100%   27.32kB/s    0:00:00 (xfr#6, to-chk=434/699)\n",
      "GMX_run/plumed_t1abmdm_7_prod_10ps_out.log\n",
      "         46,228 100%  265.56kB/s    0:00:00 (xfr#7, to-chk=433/699)\n",
      "GMX_run/plumed_t1abmdp_7_prod_10ps_out.edr\n",
      "          4,096 100%   23.53kB/s    0:00:00 (xfr#8, to-chk=427/699)\n",
      "GMX_run/plumed_t1abmdp_7_prod_10ps_out.log\n",
      "         45,594 100%  260.38kB/s    0:00:00 (xfr#9, to-chk=426/699)\n"
     ]
    }
   ],
   "source": [
    "#Run on Lomonosov\n",
    "#Transfer\n",
    "!ssh $ssh_host \"mkdir -p ~/_scratch/$folder\"\n",
    "!cp Run_scripts/lomo2_run_plumed.sh GMX_run/\n",
    "!cp Run_scripts/lomo2_run_plumed_multi.sh GMX_run/\n",
    "#!cp Run_scripts/lomo2_run_cont_plumed.sh GMX_run/\n",
    "# !rsync --dry-run --update --progress --exclude '*.xtc' --exclude '*.trr' --exclude 'step*' -r GMX_run $ssh_host:~/_scratch/$folder/;\n",
    "!rsync --update --progress --exclude '*.xtc' --exclude '*.trr' --exclude 'step*' -r GMX_run $ssh_host:~/_scratch/$folder/;\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash -s \"$folder\" \"$ssh_host\" \n",
    "#Launching initially!!!\n",
    "#ssh $2 \"source /etc/profile; export MODULEPATH=\\$MODULEPATH:/home/satary_1609/_scratch/_software/modules; module load slurm gromacs_2019.2_plumed; cd ~/_scratch/$1/GMX_run; sbatch -p compute -t 1-00:00:00 -N 4 -J plumed_$1 lomo2_run_plumed.sh plumed_7_prod plumed_t1.dat\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Submitted batch job 1064606\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%%bash -s \"$folder\" \"$ssh_host\" \"$prs\"\n",
    "#Launching initially MULTI!!!\n",
    "ssh $2  \"source /etc/profile; export MODULEPATH=\\$MODULEPATH:/home/satary_1609/_scratch/_software/modules; module load slurm gromacs_2019.2_plumed; cd ~/_scratch/$1/GMX_run; sbatch -p compute -t 7-00:00:00 -N 16 -J plumed_`echo $3`_$1 lomo2_run_plumed_multi.sh plumed_`echo $3`_7_prod plumed_`echo $3`_MD.dat 16\"\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n",
      "             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)\n",
      "           1064244   compute   unwrap kniazeva  R 1-15:19:23     10 n[48303-48304,51417-51424]\n",
      "           1064606   compute plumed_t kniazeva  R   17:57:00     16 n[48023,49425-49427,50505-50509,51425-51426,51505-51506,51610-51612]\n",
      "           1064907   compute   unwrap kniazeva  R   12:12:55     10 n[48109-48110,48508-48509,48705-48706,49527-49528,49707-49708]\n"
     ]
    }
   ],
   "source": [
    "!ssh $ssh_host \"module load slurm gromacs/2018-gcc; squeue -u \\`whoami\\` \" || echo \"No job in queue\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\r\n",
      "\r\n",
      "\r\n"
     ]
    }
   ],
   "source": [
    "!ssh $ssh_host \"module load slurm gromacs/2018-gcc; scancel 1063275\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n",
      "             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)\n"
     ]
    }
   ],
   "source": [
    "!ssh $ssh_host \"module load slurm gromacs/2018-gcc; squeue -n plumed_$folder \" || echo \"No job in queue\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n",
      "             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash -s \"$folder\" \"$ssh_host\" \n",
    "#Relaunch - FIXES FOR MULTIDIR ARE NEEDED\n",
    "#ssh $2 \"source /etc/profile; export MODULEPATH=\\$MODULEPATH:/home/satary_1609/_scratch/_software/modules; module load slurm gromacs_2019.2_plumed; cd ~/_scratch/$1/GMX_run; sbatch -p compute -t 7-00:00:00 -N 4 -J plumed_$1 lomo2_run_plumed_cont.sh plumed_7_prod plumed_a1.dat\"\n",
    "\n",
    "#Relaunch for non-plumed runs\n",
    "##!ssh $ssh_host \"module load slurm gromacs/2018-gcc; cd ~/_scratch/$folder/GMX_run; sbatch -p compute -t 7-00:00:00 -N 4 -J $folder lomo2_run_cont.sh 7_prod\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash -s \"$folder\" \"$ssh_host\" \n",
    "#Make a chain of tasks\n",
    "#set --dependency=afterany:970076\n",
    "#ssh $2 \"source /etc/profile; export MODULEPATH=\\$MODULEPATH:/home/satary_1609/_scratch/_software/modules; module load slurm gromacs_2019.2_plumed; cd ~/_scratch/$1/GMX_run; sbatch -p compute -t 7-00:00:00 -N 4 -J plumed_$1 --dependency=afterany:970076 lomo2_run_plumed_cont.sh plumed_7_prod plumed_a1.dat\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Lomonosov-2 supercomputer welcomes you!\n",
      "\n",
      "\n",
      "           Step           Time\n",
      "       27079000    54158.00000\n",
      "--\n",
      "           Step           Time\n",
      "       27080000    54160.00000\n",
      "--\n",
      "           Step           Time\n",
      "       27081000    54162.00000\n"
     ]
    }
   ],
   "source": [
    "#Check status\n",
    "!ssh $ssh_host \"tail -n 50 ~/_scratch/$folder/GMX_run/plumed_7_prod.log | grep -A1 Time\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash -s \"$folder\" \"$ssh_host\" --err err --out out\n",
    "#Get back data\n",
    "\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/plumed_7_prod* GMX_run/ ;\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/HILL* GMX_run/ ;\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/egmx* GMX_run/ ;    \n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/ogmx* GMX_run/ ;      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash -s \"$folder\" \"$ssh_host\" \"$prs\" --err err --out out\n",
    "#Get back data\n",
    "export prs=$3\n",
    "\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/HILLS_`echo $prs`.dat GMX_run/ ;\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/colvar_`echo $prs`* GMX_run/ ;\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/egmx* GMX_run/ ;    \n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/ogmx* GMX_run/ ; \n",
    "\n",
    "for i in `seq 0 15`; do\n",
    "rsync --partial --update --progress $2:~/_scratch/$1/GMX_run/$i/plumed_`echo $3`_7_prod* GMX_run/$i/ ;\n",
    "done\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ==========Analysis========"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gmx: Relink `/opt/miniconda3/envs/moldyn/bin/../lib/././libgfortran.so.4' with `/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'\n",
      "                     :-) GROMACS - gmx trjconv, 2018.4 (-:\n",
      "\n",
      "                            GROMACS is written by:\n",
      "     Emile Apol      Rossen Apostolov      Paul Bauer     Herman J.C. Berendsen\n",
      "    Par Bjelkmar    Aldert van Buuren   Rudi van Drunen     Anton Feenstra  \n",
      "  Gerrit Groenhof    Aleksei Iupinov   Christoph Junghans   Anca Hamuraru   \n",
      " Vincent Hindriksen Dimitrios Karkoulis    Peter Kasson        Jiri Kraus    \n",
      "  Carsten Kutzner      Per Larsson      Justin A. Lemkul    Viveca Lindahl  \n",
      "  Magnus Lundborg   Pieter Meulenhoff    Erik Marklund      Teemu Murtola   \n",
      "    Szilard Pall       Sander Pronk      Roland Schulz     Alexey Shvetsov  \n",
      "   Michael Shirts     Alfons Sijbers     Peter Tieleman    Teemu Virolainen \n",
      " Christian Wennberg    Maarten Wolf   \n",
      "                           and the project leaders:\n",
      "        Mark Abraham, Berk Hess, Erik Lindahl, and David van der Spoel\n",
      "\n",
      "Copyright (c) 1991-2000, University of Groningen, The Netherlands.\n",
      "Copyright (c) 2001-2017, The GROMACS development team at\n",
      "Uppsala University, Stockholm University and\n",
      "the Royal Institute of Technology, Sweden.\n",
      "check out http://www.gromacs.org for more information.\n",
      "\n",
      "GROMACS is free software; you can redistribute it and/or modify it\n",
      "under the terms of the GNU Lesser General Public License\n",
      "as published by the Free Software Foundation; either version 2.1\n",
      "of the License, or (at your option) any later version.\n",
      "\n",
      "GROMACS:      gmx trjconv, version 2018.4\n",
      "Executable:   /opt/miniconda3/envs/moldyn/bin/gmx\n",
      "Data prefix:  /opt/miniconda3/envs/moldyn\n",
      "Working dir:  /home/_shared/_projects/nucl_gmx/h3-h4_2_tm_60DNA\n",
      "Command line:\n",
      "  gmx trjconv -n GMX_system/index.ndx -f GMX_run/1/plumed_t1wtmd2_7_prod.xtc -s GMX_run/1/plumed_t1wtmd2_7_prod.tpr -o tmp/1/plumed_t1wtmd2_7_prod_1.xtc -pbc whole\n",
      "\n",
      "Will write xtc: Compressed trajectory (portable xdr format): xtc\n",
      "Reading file GMX_run/1/plumed_t1wtmd2_7_prod.tpr, VERSION 2018.4 (single precision)\n",
      "Reading file GMX_run/1/plumed_t1wtmd2_7_prod.tpr, VERSION 2018.4 (single precision)\n",
      "Select group for output\n",
      "Group     0 (         System) has 245092 elements\n",
      "Group     1 (            DNA) has  3872 elements\n",
      "Group     2 (             NA) has   303 elements\n",
      "Group     3 (             CL) has   211 elements\n",
      "Group     4 (        Protein) has  5734 elements\n",
      "Group     5 (      Protein-H) has  2788 elements\n",
      "Group     6 (        C-alpha) has   344 elements\n",
      "Group     7 (       Backbone) has  1036 elements\n",
      "Group     8 (      MainChain) has  1388 elements\n",
      "Group     9 (   MainChain+Cb) has  1710 elements\n",
      "Group    10 (    MainChain+H) has  1726 elements\n",
      "Group    11 (      SideChain) has  4008 elements\n",
      "Group    12 (    SideChain-H) has  1400 elements\n",
      "Group    13 (    Prot-Masses) has  5734 elements\n",
      "Group    14 (    non-Protein) has 239358 elements\n",
      "Group    15 (          Water) has 234972 elements\n",
      "Group    16 (            SOL) has 234972 elements\n",
      "Group    17 (      non-Water) has 10120 elements\n",
      "Group    18 (            Ion) has   514 elements\n",
      "Group    19 (             NA) has   303 elements\n",
      "Group    20 (             CL) has   211 elements\n",
      "Group    21 ( Water_and_ions) has 235486 elements\n",
      "Group    22 (!Water_and_ions) has  9606 elements\n",
      "Group    23 (           a_11) has     1 elements\n",
      "Group    24 (         a_3851) has     1 elements\n",
      "Group    25 (         a_1915) has     1 elements\n",
      "Group    26 (         a_1947) has     1 elements\n",
      "Select a group: Selected 22: '!Water_and_ions'\n",
      "Reading frame       0 time    0.000   \n",
      "Precision of GMX_run/1/plumed_t1wtmd2_7_prod.xtc is 0.001 (nm)\n",
      "Using output precision of 0.001 (nm)\n",
      "Last frame          5 time 5000.000    ->  frame      5 time 5000.000      \n",
      "\n",
      "\n",
      "GROMACS reminds you: \"The first 90% of the code accounts for the first 90% of the development time. The remaining 10% of the code accounts for the other 90% of the development time.\" (Tom Cargill)\n",
      "\n",
      "gmx: Relink `/opt/miniconda3/envs/moldyn/bin/../lib/././libgfortran.so.4' with `/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'\n",
      "                     :-) GROMACS - gmx trjconv, 2018.4 (-:\n",
      "\n",
      "                            GROMACS is written by:\n",
      "     Emile Apol      Rossen Apostolov      Paul Bauer     Herman J.C. Berendsen\n",
      "    Par Bjelkmar    Aldert van Buuren   Rudi van Drunen     Anton Feenstra  \n",
      "  Gerrit Groenhof    Aleksei Iupinov   Christoph Junghans   Anca Hamuraru   \n",
      " Vincent Hindriksen Dimitrios Karkoulis    Peter Kasson        Jiri Kraus    \n",
      "  Carsten Kutzner      Per Larsson      Justin A. Lemkul    Viveca Lindahl  \n",
      "  Magnus Lundborg   Pieter Meulenhoff    Erik Marklund      Teemu Murtola   \n",
      "    Szilard Pall       Sander Pronk      Roland Schulz     Alexey Shvetsov  \n",
      "   Michael Shirts     Alfons Sijbers     Peter Tieleman    Teemu Virolainen \n",
      " Christian Wennberg    Maarten Wolf   \n",
      "                           and the project leaders:\n",
      "        Mark Abraham, Berk Hess, Erik Lindahl, and David van der Spoel\n",
      "\n",
      "Copyright (c) 1991-2000, University of Groningen, The Netherlands.\n",
      "Copyright (c) 2001-2017, The GROMACS development team at\n",
      "Uppsala University, Stockholm University and\n",
      "the Royal Institute of Technology, Sweden.\n",
      "check out http://www.gromacs.org for more information.\n",
      "\n",
      "GROMACS is free software; you can redistribute it and/or modify it\n",
      "under the terms of the GNU Lesser General Public License\n",
      "as published by the Free Software Foundation; either version 2.1\n",
      "of the License, or (at your option) any later version.\n",
      "\n",
      "GROMACS:      gmx trjconv, version 2018.4\n",
      "Executable:   /opt/miniconda3/envs/moldyn/bin/gmx\n",
      "Data prefix:  /opt/miniconda3/envs/moldyn\n",
      "Working dir:  /home/_shared/_projects/nucl_gmx/h3-h4_2_tm_60DNA\n",
      "Command line:\n",
      "  gmx trjconv -n GMX_system/index.ndx -f tmp/1/plumed_t1wtmd2_7_prod_1.xtc -s GMX_run/1/plumed_t1wtmd2_7_prod.tpr -o tmp/1/plumed_t1wtmd2_7_prod_2.xtc -pbc cluster\n",
      "\n",
      "Will write xtc: Compressed trajectory (portable xdr format): xtc\n",
      "Reading file GMX_run/1/plumed_t1wtmd2_7_prod.tpr, VERSION 2018.4 (single precision)\n",
      "Reading file GMX_run/1/plumed_t1wtmd2_7_prod.tpr, VERSION 2018.4 (single precision)\n",
      "Select group for clustering\n",
      "Group     0 (         System) has 245092 elements\n",
      "Group     1 (            DNA) has  3872 elements\n",
      "Group     2 (             NA) has   303 elements\n",
      "Group     3 (             CL) has   211 elements\n",
      "Group     4 (        Protein) has  5734 elements\n",
      "Group     5 (      Protein-H) has  2788 elements\n",
      "Group     6 (        C-alpha) has   344 elements\n",
      "Group     7 (       Backbone) has  1036 elements\n",
      "Group     8 (      MainChain) has  1388 elements\n",
      "Group     9 (   MainChain+Cb) has  1710 elements\n",
      "Group    10 (    MainChain+H) has  1726 elements\n",
      "Group    11 (      SideChain) has  4008 elements\n",
      "Group    12 (    SideChain-H) has  1400 elements\n",
      "Group    13 (    Prot-Masses) has  5734 elements\n",
      "Group    14 (    non-Protein) has 239358 elements\n",
      "Group    15 (          Water) has 234972 elements\n",
      "Group    16 (            SOL) has 234972 elements\n",
      "Group    17 (      non-Water) has 10120 elements\n",
      "Group    18 (            Ion) has   514 elements\n",
      "Group    19 (             NA) has   303 elements\n",
      "Group    20 (             CL) has   211 elements\n",
      "Group    21 ( Water_and_ions) has 235486 elements\n",
      "Group    22 (!Water_and_ions) has  9606 elements\n",
      "Group    23 (           a_11) has     1 elements\n",
      "Group    24 (         a_3851) has     1 elements\n",
      "Group    25 (         a_1915) has     1 elements\n",
      "Group    26 (         a_1947) has     1 elements\n",
      "Select a group: Selected 22: '!Water_and_ions'\n",
      "Select group for output\n",
      "Group     0 (         System) has 245092 elements\n",
      "Group     1 (            DNA) has  3872 elements\n",
      "Group     2 (             NA) has   303 elements\n",
      "Group     3 (             CL) has   211 elements\n",
      "Group     4 (        Protein) has  5734 elements\n",
      "Group     5 (      Protein-H) has  2788 elements\n",
      "Group     6 (        C-alpha) has   344 elements\n",
      "Group     7 (       Backbone) has  1036 elements\n",
      "Group     8 (      MainChain) has  1388 elements\n",
      "Group     9 (   MainChain+Cb) has  1710 elements\n",
      "Group    10 (    MainChain+H) has  1726 elements\n",
      "Group    11 (      SideChain) has  4008 elements\n",
      "Group    12 (    SideChain-H) has  1400 elements\n",
      "Group    13 (    Prot-Masses) has  5734 elements\n",
      "Group    14 (    non-Protein) has 239358 elements\n",
      "Group    15 (          Water) has 234972 elements\n",
      "Group    16 (            SOL) has 234972 elements\n",
      "Group    17 (      non-Water) has 10120 elements\n",
      "Group    18 (            Ion) has   514 elements\n",
      "Group    19 (             NA) has   303 elements\n",
      "Group    20 (             CL) has   211 elements\n",
      "Group    21 ( Water_and_ions) has 235486 elements\n",
      "Group    22 (!Water_and_ions) has  9606 elements\n",
      "Group    23 (           a_11) has     1 elements\n",
      "Group    24 (         a_3851) has     1 elements\n",
      "Group    25 (         a_1915) has     1 elements\n",
      "Group    26 (         a_1947) has     1 elements\n",
      "Select a group: Selected 22: '!Water_and_ions'\n",
      "Reading frame       0 time    0.000   \n",
      "Precision of tmp/1/plumed_t1wtmd2_7_prod_1.xtc is 0.001 (nm)\n",
      "Using output precision of 0.001 (nm)\n",
      "Clustering iteration 6 of 6...\n",
      "Clustering iteration 6 of 6...0.000   \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clustering iteration 6 of 6...0.000   \n",
      "Clustering iteration 6 of 6...0.000   \n",
      "Clustering iteration 6 of 6...0.000   \n",
      "Clustering iteration 6 of 6...0.000   \n",
      "Last frame          5 time 5000.000   \n",
      "\n",
      "\n",
      "GROMACS reminds you: \"Don't Eat That Yellow Snow\" (F. Zappa)\n",
      "\n",
      "gmx: Relink `/opt/miniconda3/envs/moldyn/bin/../lib/././libgfortran.so.4' with `/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime'\n",
      "                     :-) GROMACS - gmx trjconv, 2018.4 (-:\n",
      "\n",
      "                            GROMACS is written by:\n",
      "     Emile Apol      Rossen Apostolov      Paul Bauer     Herman J.C. Berendsen\n",
      "    Par Bjelkmar    Aldert van Buuren   Rudi van Drunen     Anton Feenstra  \n",
      "  Gerrit Groenhof    Aleksei Iupinov   Christoph Junghans   Anca Hamuraru   \n",
      " Vincent Hindriksen Dimitrios Karkoulis    Peter Kasson        Jiri Kraus    \n",
      "  Carsten Kutzner      Per Larsson      Justin A. Lemkul    Viveca Lindahl  \n",
      "  Magnus Lundborg   Pieter Meulenhoff    Erik Marklund      Teemu Murtola   \n",
      "    Szilard Pall       Sander Pronk      Roland Schulz     Alexey Shvetsov  \n",
      "   Michael Shirts     Alfons Sijbers     Peter Tieleman    Teemu Virolainen \n",
      " Christian Wennberg    Maarten Wolf   \n",
      "                           and the project leaders:\n",
      "        Mark Abraham, Berk Hess, Erik Lindahl, and David van der Spoel\n",
      "\n",
      "Copyright (c) 1991-2000, University of Groningen, The Netherlands.\n",
      "Copyright (c) 2001-2017, The GROMACS development team at\n",
      "Uppsala University, Stockholm University and\n",
      "the Royal Institute of Technology, Sweden.\n",
      "check out http://www.gromacs.org for more information.\n",
      "\n",
      "GROMACS is free software; you can redistribute it and/or modify it\n",
      "under the terms of the GNU Lesser General Public License\n",
      "as published by the Free Software Foundation; either version 2.1\n",
      "of the License, or (at your option) any later version.\n",
      "\n",
      "GROMACS:      gmx trjconv, version 2018.4\n",
      "Executable:   /opt/miniconda3/envs/moldyn/bin/gmx\n",
      "Data prefix:  /opt/miniconda3/envs/moldyn\n",
      "Working dir:  /home/_shared/_projects/nucl_gmx/h3-h4_2_tm_60DNA\n",
      "Command line:\n",
      "  gmx trjconv -f tmp/1/plumed_t1wtmd2_7_prod_2.xtc -s GMX_system/sys_ref.pdb -o big_data/plumed_md.xtc -fit rot+trans\n",
      "\n",
      "Will write xtc: Compressed trajectory (portable xdr format): xtc\n",
      "\n",
      "WARNING: Masses and atomic (Van der Waals) radii will be guessed\n",
      "         based on residue and atom names, since they could not be\n",
      "         definitively assigned from the information in your input\n",
      "         files. These guessed numbers might deviate from the mass\n",
      "         and radius of the atom type. Please check the output\n",
      "         files if necessary.\n",
      "\n",
      "\n",
      "WARNING: If there are molecules in the input trajectory file\n",
      "         that are broken across periodic boundaries, they\n",
      "         cannot be made whole (or treated as whole) without\n",
      "         you providing a run input file.\n",
      "\n",
      "Select group for least squares fit\n",
      "Group     0 (         System) has  9606 elements\n",
      "Group     1 (            DNA) has  3872 elements\n",
      "Group     2 (        Protein) has  5734 elements\n",
      "Group     3 (      Protein-H) has  2788 elements\n",
      "Group     4 (        C-alpha) has   344 elements\n",
      "Group     5 (       Backbone) has  1036 elements\n",
      "Group     6 (      MainChain) has  1388 elements\n",
      "Group     7 (   MainChain+Cb) has  1710 elements\n",
      "Group     8 (    MainChain+H) has  1726 elements\n",
      "Group     9 (      SideChain) has  4008 elements\n",
      "Group    10 (    SideChain-H) has  1400 elements\n",
      "Group    11 (    Prot-Masses) has  5734 elements\n",
      "Group    12 (    non-Protein) has  3872 elements\n",
      "Select a group: Selected 0: 'System'\n",
      "Select group for output\n",
      "Group     0 (         System) has  9606 elements\n",
      "Group     1 (            DNA) has  3872 elements\n",
      "Group     2 (        Protein) has  5734 elements\n",
      "Group     3 (      Protein-H) has  2788 elements\n",
      "Group     4 (        C-alpha) has   344 elements\n",
      "Group     5 (       Backbone) has  1036 elements\n",
      "Group     6 (      MainChain) has  1388 elements\n",
      "Group     7 (   MainChain+Cb) has  1710 elements\n",
      "Group     8 (    MainChain+H) has  1726 elements\n",
      "Group     9 (      SideChain) has  4008 elements\n",
      "Group    10 (    SideChain-H) has  1400 elements\n",
      "Group    11 (    Prot-Masses) has  5734 elements\n",
      "Group    12 (    non-Protein) has  3872 elements\n",
      "Select a group: Selected 0: 'System'\n",
      "Reading frame       0 time    0.000   \n",
      "Precision of tmp/1/plumed_t1wtmd2_7_prod_2.xtc is 0.001 (nm)\n",
      "Using output precision of 0.001 (nm)\n",
      "\n",
      "Back Off! I just backed up big_data/plumed_md.xtc to big_data/#plumed_md.xtc.72#\n",
      "Last frame          5 time 5000.000    ->  frame      5 time 5000.000      \n",
      "\n",
      "\n",
      "GROMACS reminds you: \"If I could remember the names of all these particles, I’d be a botanist.\" (Albert Einstein)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Preprocees trj\n",
    "#!./5_trj_preprocessing.sh plumed_7_prod_10ps_out plumed_md\n",
    "# !./5_trj_preprocessing.sh plumed_7_prod_10ps_out_walker3 plumed_md\n",
    "!mkdir -p tmp/1\n",
    "!./5_trj_preprocessing.sh 1/plumed_$prs\\_7_prod plumed_md"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda3/envs/moldyn/lib/python3.7/site-packages/MDAnalysis/coordinates/XDR.py:195: UserWarning: Reload offsets from trajectory\n",
      " ctime or size or n_atoms did not match\n",
      "  warnings.warn(\"Reload offsets from trajectory\\n \"\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7bda92f842064cef9cc30bc3892f1651",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "NGLWidget(count=6)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view_nucl('GMX_system/sys_ref.pdb','big_data/plumed_md.xtc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#! FIELDS time t1 sigma_t1 height biasf\n",
      "#! SET multivariate false\n",
      "#! SET kerneltype gaussian\n",
      "#! SET min_t1 -pi\n",
      "#! SET max_t1 pi\n",
      "      1.000000047497451     -0.249566222616068                   0.05      1.111111111111111                     10\n",
      "      1.000000047497451    -0.2587810566754474                   0.05      1.111111111111111                     10\n",
      "      1.000000047497451    -0.2427540288463006                   0.05      1.111111111111111                     10\n",
      "      1.000000047497451    -0.2521155948275644                   0.05      1.111111111111111                     10\n",
      "      1.000000047497451    -0.2656201530809965                   0.05      1.111111111111111                     10\n",
      "Labels found: ['time', 't1', 'sigma_t1', 'height', 'biasf']\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAx4AAAEnCAYAAAAn0JVyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzsnXecFPX5x9+z9XrvjXLAUQ4EUSEiip2osQAmaqKmGE3RxDQTE/NTY6JGjTFGE2OMsZeIHQUFQSkCitKOdneU43rv23fn98fszu7c7l7vfN+vFy9mvvPdme/tTnu+z/N8HkmWZQQCgUAgEAgEAoFgKNGN9AAEAoFAIBAIBALB+EcYHgKBQCAQCAQCgWDIEYaHQCAQCAQCgUAgGHKE4SEQCAQCgUAgEAiGHGF4CAQCgUAgEAgEgiFHGB4CgUAgEAgEAoFgyBGGh0AgEAgEAoFAIBhyhOEhEAgEAoFAIBAIhhxheAgEAoFAIBAIBIIhxzDSAxgMEhMT5aysrJEeBk6nE6PRONLDEIwSxPkgCEScD4JAxPkgCEScD4KujLVzYv/+/Q2yLKf21G9cGB5ZWVm8+uqrIz0MKioqyMnJGelhCEYJ4nwQBCLOB0Eg4nwQBCLOB0FXxto5MXv27LLe9BOhVgKBQCAQCAQCgWDIEYaHQCAQCAQCgUAgGHKE4SEQCAQCgUAgEAiGnHGR4yEQCAQCgUAgEIx2ZFlW/3VHWloabrd7mEbVeyRJUv/1B2F4CAQCgUAgEAgEw4Asy6SkpJCQkNDty7vD4cBkMg3jyHpGlmVaWlpoaGjot+EhQq0EAoFAIBAIBIJhQJblHo2O0YokSSQkJPTorekOYXgIBAKBQCAQCATDxFg0OnwMdOzC8BAIBAKBQCAQCARDjjA8BAKBQCAYBCIb95Hz2d0ge0Z6KAKBQNAtH374ISeddBKFhYU89NBDw3ZckVwuEAgEAsEAiK3aQurBZ4lq2gdAzewf4YpMHeFRCQQCQWjcbjc/+9nPWLVqFdnZ2SxevJiLL76YGTNmDPmxheEhEAgEAkE/kVxWJnx6m6ZN72gXhodAIOiRe9cUc7CmI+Q2WfYgSX0PTJqeEcNvl07rts+OHTvIz89n0qRJAKxYsYJVq1YNi+EhQq0EAoFAIOgn0Q17gtoM9pYRGIlAIBD0jqqqKrKzs9X17OxsqqqqhuXYwuMhEAgEAkE/mLz+JqKaioLaJ228BYCKU36HxxBJR9opyIYIZJ1xuIcoEAhGMd15JoayjkcoOdzhUtoShodAIBAIBP3AZ3RY46dgj5tEQvlazfacHX9Slxvzl1E97xfDOj6BQCAIRXZ2NpWVlep6ZWUlmZmZw3JsEWolEAgEAkFf8bjURVdEEu2Zi7rtnnz4jaEekUAgEPSK+fPnU1payrFjx3A4HKxcuZKLL754WI4tPB4CgUAgEPQSU0cFkz7+EW3ZS9Q2g62JtpwlVNt/Subuv4X/sCzDGC4cJhAIxgcGg4GHH36YSy+9FLfbzXXXXcfMmTOH59jDcpRukCRJD+wAKmVZvkSSpEnAK0AS8CVwrSzLjpEco0AgEAgEAOl7n8BoayT58OtqW9OU5cg6I41Tv47BWkdq8cshPxvRfBBb0tCrxggEAkFPLF26lKVLlw77cUdDqNVPgQMB638G/irL8lSgGfjeiIxKIBAIBALA2FmF5HEqK108FvsvXU3zxK+p67VzbqZoxRZ1XUaibvr1AExZf8PQD1YgEAhGMSNqeEiSlANcDDzlXZeAc4CV3i7PApePzOgEAoFAcKIT1bCHgtVXMnXNVRSuXER8xXrNdo8xNmT4VNnpD9CSdyH7lm+iKf8K//7qdw35mAUCgWC0MtKhVo8AtwGx3vVkoEWWZV/WXgWQHeqDkiTdCNwIkJaWRkVFxRAPtWccDseoGIdgdCDOB0Eg4nwYY8gyM449TUbjNgBMlpqgLp0RGVQEKMNomQBZ34XKSvRuG9O9rW2Vh6ixp4jzQaBBnA8nDmlpaTgcPWcQyLLcq34jgdvtprq6ul+fHTHDQ5KkS4A6WZa/kCRpia85RNdgsWFAluUngScBZs2aJefk5AzJOPtCRUUFo2EcgtGBOB8EgYjzYWyhc7QxYfuHIbfJSJQsfQVHTA69+kVlGT5XFpOTkzHk5IjzQaBBnA8nDm63u1f1OYayjsdA0ev1/T5fRzLUahFwqSRJx1CSyc9B8YAkSJLkM4hygOEppSgQCEYlUQ27SS7530gPQ3CC0V31cUdMDo6YPjx0JYmjZz4KQO72Owc6NIFAIBizjJjhIcvy7bIs58iyPBG4Clgvy/I3gQ3ACm+364G3R2iIAoFgFDD54x+RuftvRNd+NtJDEZxAZOz9R8h2pzmJ8oV/6PP++mSoCAQCwThlNKhadeXXwM8lSSpFyfn4zwiPRyAQjAIiWg8rIStyyOhLgWBQ0dtbQ7Yf+tq72BKm9Xl/LnPCQIckEAgEg8JNN93EhAkTOOWUU4b92KPC8JBl+WNZli/xLh+RZfk0WZanyLJ8pSzL9pEen0AgGBlMbWXqcuaexyh8/Qyyd9w7giMSnAgYrPVEN+7BbYylPX0BbZlnUDvrRkrPearf+5T1Zv9KQNVzgUAgGG6uvfZa3nrrrRE59kirWgkEAkFYEo+tCm4re5+qk3+pfZETCAaRCZt/CYDe2U7Z4ocHreJ4a/bZxFduwGhrHPC+BALB2Me47vdIdUWht8kyUj/uO3JaIc7z7um2zxlnnEFZWVm3fYaKUeHxEAgEglDIutBzIxl7Hh/mkQhOJCJbS7UNg2B0ALRlL1Z25xaOfIFAcGIiPB4CgWD0ILspeH85ensL+69Yj97ZicsYi8HZDkBbxunE1XxKZPOhER6oYLxiai9Xlx1RGYO6b5+XLvXgcxzJ/Pag7lsgEIw9uvNMjGY53YEgPB4CgWDUkL73CYzWenQeJ0ZLHZFN+/GYYtXtbTlLAIhqCu2aFggGisHWoC4fPu+/g7pvjz4CgMSy1YO6X4FgvBHRUkz63n8KMZFxiDA8BALBqEHntqnLBauXE9V8AFNnFSXnP489Jpf2zNOxxk9ROogHkmAIyNr5FwDqZnwHtyluUPdti5s8qPsTCEYTcRUbMLce6baPwVLXq3t33pbfkHroBTJ3/RWds2OwhigYBQjDQyAQjBoMtuaQ7fb4yZQsfQW3ORFTRyUAEzfdOpxDE4xGZDcGa0PP/fpARNtRANoyFw3qfgFcUWm05pyDIzJ90PctEIw0edvuYOraa8Nuj2zYy/T3ryC+/EMAsr74M4UrFxHZdCCor8laC0Dy4deZ+faFmm06l4Wcz/6A3h76eSHomeuvv54lS5ZQXFzMlClTeOaZZ4bt2CLHQyAQjBriKzcEtbVnfEWz3jrhApKOvE1M3Y7hGpZglJJU+gZZux+h+MKXccTmjfRweoUzMpV4ay0Gl0VpkN0g6YloPoSsM2KPF14RwdjG1FHBhE0/p3HaVRhszTROvRK3KY6opn0AxFVtxhGdTdLRdwBIKFuNNWlGr/cff3wtCcc/wG2IovrkXw7J3zDeefbZZ0fs2MLjIRAIRgdh3O9lZzykWa+a96vhGI1gDJC1+xEAkkteHZT9SS6rumxLmDoo++yKPXYCAGfu+gkJR1dR+PqZ6G3NTPnou0xde61mDALBmCHg/p1y6EXMnZVk7fwLaQeeJnOXcp3qnZ0AxFesxxBQoNPc3kXWVXYH7V5yO/ybdUYAko+8OWjDFwwfwvAQCASjAsnjBMCtj6TqpFuRJT37ln0coqNEfcG3kCW9yPM4kQn47ZOPvIWxs5qcz+5Wz6P+oHe0+1fCSDkPlNacswEwudrJ+eI+AGJrtqrb89ffMCTHFQiGEikgP8/UUaHZlnD8AxKPvIMuwKjO9OZSAYr32uMirnwd09+5GKOlVt1mTShQ+tR+prbJkj7kGPS2ZmUSwntv0Dna0dtbBvBXCYYCEWolEAhGnIxdfyO+4iMAamf/kKYpy2maemXY/m5jLJLsRnLbkA2RwzVMwTCQteM+OtPm05p3AQDm1iOkHnqB6Lod1M66EZ3bTuKxd+lIX6D5XMHqFYAyG1p5ym8BxROSXPwqJUtf7lXBSd+LUcPUbwzmn6TBEyJhPeH4h+qyU+R/CMYgU9depy7H1H8ZtD37yz/TmL9MXfflcPgofOMsdTl3+13qctXJvyJ//Q3one2k7fs37ZlnoPeFKaLUxJH1ZnSONmasugQAlzmB9qzFzHxnKQBFK7YM7I8TDCrC8BAIBCPKrNfPRApwrVsTC3r8jNsYDYDe2YFLGB7jB1km6dgqko6toj1zER5jtCZZ1echAIhsKQm9C8n/WMvc/SgA5rYybInTejy8z/PQPgSJ5d0RU/c5AB6dCVdE4rAeWyAYMLIbU2dVj900HkXfR5GQ0HqufbkgTZMvwx6bC0BEy2FSSl4m5dBLmmskpfgV0vc9SUfqPLUt97M/9OvPEAwPItRKIBAMK9G1nxPZuA88LgpXLtIYHQC2XhgeHmMM4I8ZFowPdAEzmbnb7sDcerjHz7iNsZr1qMa9JB7Wxn7HVW3qdh8Gaz1Jh99A560obkme3dsh94twoSKOmBxxTgvGHLoQ52x7+sKgNr2zHUeU36NnTZhGxYK7wu63es5P8Bii8ehMGDsVNUOdx4EpIBQrfd+TAMTU7+zv8AXDjDA8BALBsDJp063kb7hRlS3tii9xsDt8Hg+h7z5+0NuaMVrr1fXY2s804RvhqDxZKzYQ0XaE7J0PEVPtz5tIO/B0t/vI+/R2snb+RZ217c05OBAOXvJ2yHa3KVac04Ixhz7EOXv89Ps4cMkqTVtszTZMllqc5iSlQfbQmnsex7/yp5D7lQ0RIEm4zQkYbY2DPm7ByCAMD4FAMCzkbv0t2TvuVdenrPu2utycp8TiBs6GdYevsFugMopg7GJqL2PGqkuY+uE3Q253RGfRmn12yG2WlDkh2ydu0cps5m25LawYgck7mxrpDfFAknoz7H7jNidSnPN1amfdSPlpdwHK7K+sMxJTv5Psz+7B2IvQFYFgpJDcdiZs/iXRtZ+hd7QBcHyBP8RJ1ptwRyT6C74GYLQ3ARDZWgoES6YDNE5ZoS67zPEYbNp6Pe0ZwR6V8GN19NzpBKOiooKlS5cyb9485s+fz+OPPz5sxxY5HgKBoE9IbjtJh9+gccqVQco/Rkst5tbDdGSeHvS5+MpPwu5TNpg5uviv2OJ7J2HqiMkBILKpiPas4Y3HFwwuqfufJn3/f7rtc3zhPdgSCrAdeIbW3HNweCVpfRxZ8g8mbP4VeldwyIfLFIfB0UZc9Rb09mbcEUlBfXwhVuG8cEPBkZzl5OTkENm0HwBZ0qm1aRKPr8Fgb6Zs8cPDNh6BoC9ENh8itmYrsTVb1dBBZ1Q6x874i0aK+vD5z5Kx+1FSvJLXzROWkli2BoC66dcDhBR+aM/wP0Pcxhg1p6vs9D/TnnUGADPfOBudx29UOKKzVK9l5fxfk/3FnwGlTogtYRpxlR9TW3gjhAl1PJHQ6/Xcd999zJs3j/b2dhYtWsQ555zDjBm9r6fSX4ThIRAI+kRyyf/IKHoCWW+mKUClJPHwm2TvVGpuFC3fBJLfoSp5X+zC4dGZ6Ew/rddjcJsTsMfkYG4v7+PoBaMK2R3S6OhMmUt0wy513RGTq8goz/xOyN1YUk7iwOUfUrgy2AhtmXAxKSUvAzBx8885fN4zwcPQmaCHc3So8HnvrMmFRDUfVNsl2c3kj75HVPNBDl78Fq7I1BEZn0CgIsvo3FY8hijyPv2N2izJbhzRWVgTp4eUoW6adJlqeFgTZ9CaewFRjUXUzfyu2scaP0X1gIA/nBa0+RuBYZBV836hCk7Uzvo+TZMuZcaqrwHQPOlSZMlAzo4/kf3lA+o9pS1rMdbkwoF+E4PGwzsfprilOOQ2j8eDTtf3wKRpCdP4+byfd9snMzOTzMxMAGJjYykoKKCqqmpYDA8RaiUQCPpERtETAFp9dI9LNTpAq16id7QRXxFckRyg6qRbqZ92NfUzvt3ncTiis4mp3dajUSMYvRjCaOxXzf2ZZt0T8BLSHZbEmUFtzqg0dTlQCctgbSBj1yPobU3onf7ztS3zjF4da7BwxORQes5T1My5mdacc9T2mLodqiEy6ZNbhnVMAoHBWq8JTUw6/AaFr5/BzLfOJ63oSZxdDGFTZ1XY2jcOrzKVj46MBdTN+p4mpLGrklzgNe8yxavLcsAxfMZ4Z8pc6md8G3dEEmWnP0DtzO8BaK4n30SGsUvIlgDKysrYvXs3p5566rAcT3g8BAJBrwmsqhyoRmVwaHMt9I4W3OZ4JJeNGe98Nez+XJHJ3dbr6A5XZAp6l5Xc7Xdy/PT7+7UPwcgyfdWlmvWquT/HEZ2JPWEKFaf8lpyAnKDeUDPnR0z+5GZ1vSN1Hh59RMi+WV8+QFz1FkwdlWpbyfnPY4+b1KdjDga2JGWWsfqknxBfsT5oe2faycM9pLGPLAMeEVbTD4wdlRSs+Tp1M75N3azvA5C+5x/q9rSDzwYpszVPvDj8DgO837YQOR8AdTO/S+OUFarHwmOIUreVXPgyM969CFBqdPiweK+bhmlXqW3tWYvU8FvZEHztp+/5B23ZS8KPdZjpzjPhcDgwmUxDevyOjg6uvvpqHnjgAeLigmsMDQXC4yEQCHrNpI0/VZcDX9i6Voc1tyuVa/PXf7/b/Tkj+h8+YoubDPQslSoYnegDhAGc5iRqZ36PpinL1fwgZ5QSBuCRej8/ZkmdpykWduysx/B0jR/3zuIabEqCq8/QKDv9fuzxk4c8sbw7woVTSR43iUfeFkmyPeFxkXzoJSS3nYkbb6Hw9TNJ3f/fkR7VmEJvbyXp6DsApB14xr+hy2XRVQbdV7SzJ8J6L3UGTf6VJ6A+k9vs93g4YvzeE48pjqIVW2jPWhz2eB1pp2jWzZ2VijdHgNPp5JprruGqq67i8ssvH7bjCsNDIBD0Gl9hJ0ATg+9L6Gv1ziRN+PQ2JLeDiLYjms87I1NxmROxJkzDkjgTa0r/6yW05YRWORKMDdL3/UtdPnTJW9QHxHsDdKbOo3r2jzn4tXf7vO/S856h9Fwld8SaNB0AW3w+AJLHCfglQFOLXwTAGZXR5+MMBcUXvhTUlnhsFdlfPkDavqdGYETDQ2zVJoydNQPaR3LpSjL3Pk7u1jvUvID0/eP3Oxsopo4KClcuYuInN2NqKwOPi0mf/JjUQy/4O3kNdX2AtzuQ6jm3aCqS94Tc1YLpwuElT9CSez5ub60mHxWn/A5L0kxkfd88ADVzfhzUNv29y5m8/sY+7We8IcsyP/zhDykoKOAnP/nJsB5bhFoJBIJ+YbTWE1u5kfbsMzFa6gCoLbyR+MqPAcjY83dN/8qTb/O748PEAvcFZ4D0ruS2h1RGEYwAskze1ttpybuwW+NQ5/QXCwwZDiNJNBZc068hBKrqOGInsO+K9SQeeYes3Y+gc1lx602avA7o+YVouOiq2OWMTMNoVa4vyTM+PR4JZWvI+fweAPZf9oFaILSv+CrPx9V8qt0ge0g98CxN+cs0s+cnBLJHE+oUSNaXDwJK8va0D0Nfa3p7syqAEIrGgDCn7qifdg2pxS/1KJJgTZlNRYgJqZaJF9Ey8aJeHSsQtyG0hyVwEu1EZOvWrbz00ksUFhayYMECAO6++26WLl065McWhodgfCG7RUzvEBEY5tGWuYi46i1M2Ho75QvuxtRZDSjhMS2555FQvo7kw2+o/fddvg45wHU+2Ogd7bgiheExGoir3EBc1SbiqjZRvPRVVfq4K75YbZ9nYiiR9WY1dEPntuImPiix3e71iIwGji/8I6bOKhwx2aTt+zdG72SzHCZfZSwTf/wD1egAMNgacfTT8IgMUAULJLn0NdL3P0VE2xHKF94Tss94JLp2B5M2/ZTSc5/GllgQtL1rgngoTJZanN6wKrc+Er3b7/lo7UOuRO2cH1Mbwvsw1Dijs8JuSzn4HO2Zi0bVtT9cnH766Vgslp47DgEi1EowJolsOkDikbfJ2P13ClcuonDlIuLKP6Lw9TNJKn19pIc3LtF7E8jbss5UEw4BcrffqcqVynoTHWlaZQxr/JQhNTpAqR8iGB3EVW5Ul+PLPwrbz+BoxRGViS1x+nAMSzU8DJZ6jF5DWcMI5nZ0pS3nbBoKvklb9hI8ATO2ui5emrFOZGMRuZ/9QdOm8YT1EV1AOJA9Oltdztz9KEDIxP3xiuSyMmmTkpOXsfcfGC3BYWxRDXt63I/RUoPBWzW84rTfc/jsJ9VtlfN/E+5jo4duruuMon8xde11wzgYAQjDQzBGyV9/A9lfPkBKyStqW972/wMgoez9kRrWuMaXDNySdwHOiOSw/Twm7WzlkbP/FabnwDm6+BEA8jec2PG6o4mE8rXqsrntKHhcIfsZLbUaqduhxpYwDYD8j3+Aub1Ms60l9/xhG0df0bn8L+KBMtXjgfwNNwW1mTsrQ/TsBbKsSXgOt5/ClYs03+l4xRAg3hBTt4OC95dTuHIRkzb8UG0P9x05I5I5skRRscrbdgdTPlLkaV0RKThi/AadxxQ7FEMfdJyRyn3m+MJ7qDz5tqDt8WUfILkdJJe8SmRj0XAP74RDhFoJxh12r9qRYHDxSea6TfEhqz/76CqzGErScLA44eK1R4DU/f/FbYqhaYpf9lhvb8ZtTgzZvzN5DqbOSoy2RhLK12KwNXLsLCXfx2BrxG2IwmhrJLpht0Znf6gJrCXgm+ktO/1+LMmzcQdIdI42AqupJ1R8RAV/6Kb32Cd3+53KeREmLyEUBmu9xtPmw5pYQGTzoaB2Y2f1uA+viWzeH7I9unEPyHLICbqa2T/CFp9PR8ZCTQ0PH9bEAtAZaJx8BfYuuUijmc7UuSQc/5DOtFNwm+LI/vIBzfbcz/8An/uvq/LT7qI1b/RORox1hMdDMO4wdYhq1kOBL9TK5X3ZLz03tEyl3tGmLndVJhlsnJHpPXcS9Bu9vZX0/U+RtesRtS2ufB0z3r2EyKYDAEQ0HWDae8vQ21vQ21uJbtyjOQdi6r9Ul6evupRpa75Bxq6/AUoRv+HEJ8Ec0XoYUKQ2R7PREYrA73ZM4HGRcujFIC+DqaNCs94WUECurx6J6e9dTtauhzVtlqSZHF38t5D9dWEUmsYTedt+H3Zb2r5/qzVyOlNOwu2tmdGae55idEDoECWvKEj1yb/sd/2lkaBy/m8oOf85NUm+rUuxwq7kfnbXMIzqxEUYHoIxR9cHVleiG/dibjs2PIM5gfCFWrm9VWRtidOoPPlXADiiMtWwJ59cKSgPtaHEbY7HEZ3VbejXWEVva6Jw5SISylaPyPETjq5ickAojK9CfHS9IqMcW60oB01ZfwMmay2T199IwvE1AOg8TlqzzvTvTPYo/wCjrVGVxKya94sh/zsCKV9wNwDm9jJkST8mkrVLzn8eS9JM6mYocsPZn/9Rs93cdizk7PRA0dubSShbM+D9ZO5+lIy9/yBn252a9mlrvqFZ70yZS/Ucpfhjb3IPwuFTJ7PHTtSEAlWceoe6nL/hJqau+QbJxS/3+zijHYs3d+rIWY8HbUs7+Ky6XFP4QzUUydXFCK+aG7643VhC1ps1Hq7yBXcH/a2C4UMYHoKxhSwHPbCKVmyhaPlGTexm5q6/DvfIxj1qqFVAeFPz5MspWrGF4otW0pmuJJW35l1AW8bpWBOmUrHgriEfV0fafM26ztE2JC9iw4Gxs1ox3DwutYJv0uG3RmQsOV/chznAe+jLL/AVAEs68oamv7mzElO70n//ZR9Qfvp91M5Scm+Mljq1bgZAfOXHOCNSsCeErmI8VPhUfMwd5Uqy+ShKKA+HPX4yR875N/ZYRR0srtpfIDGycR9TP/wmSaUrQ35Wb28lb8uvia77EmNH33In8rbeQc7n92DwSmX3l+TDithHkMStF0dUJs6IZFomfFWtpTJxy6/6PXm0b/lGamfdSN2Mb2varYkzNOvmjgoy9zzWr2OMBdymOCxJM7Gkzg3bpzN5NtaU2Rxb/FeOL/xjkCR5Ux/qc4wlZEOkKoJiTZiGowfP+cSNt5K/9nrS9/6TwpWLiK79fDiGOW4RhodgTBHVsFtdrp15g9/YkPQ0T76MY4sUXXKbyPMYdPT2VtyGKGSdsdt+HkMUx894kMPnPYPH68If0nE52jDaGomr2ICpvYyZ73yVxGOrhvy4g43O2UnB6hVk7bhfraoNo6d2Q/zxD0k49p4aBmNJno3O2anpk3zkTZzmJLUOgz1OiQNPLn0tqLq9L3RvOAmsDxFoCI0FWnPOBZQXJR8xdTsAiGoKnRAbV7mBuOrNTNp4CwVrvg6yjLmltFfH8xUI1bltapve3kpEc3Gvx5z1xZ/VZXtAxWmf9wvgyNlPcOiSd3BHJGruLVM//GavjhHbNbdD0lE/43qc3iRoW+xEAFzmRA5cGuw97KtBNhbQOTuJrf0Ml0mZ1T+6+G/Y4ibTMPVqTT+foeeKSgtdc0eSKLngRWR0lJ779JCPezipOvmXHFv0EIfP+y/FF7+hhpv5CPS6xdR9TmRrqVpYcdKmW8fs5JYPm83G4sWLWbBgAfPnz+eee4ZPZloYHoIxhbnjuLrcMO1qmidfptnekXk6LlMcEa0l5H56u6b2hKD/pO95jJTS/6lhVqMJyfsSk7ftDjWR1Ofx0ttbNC85ulGsCuTzKCQeX6MpbjcS57AuxEt55t7Hydlxr1qfRZZ0pB4IzvMJ9Ih5dEpIVUrJK0F1M3QBIXnDxhjwcIRFZ6Al9zxN/oPkVQxzmUOLPXSdJIgv/5Cp664ntmpz98cKuGb0AcblpE9uZspH3+nVS5fO2UnS0XfUdXNHOel7HqNw5SLS9z4BKFWvXZEpap9Aowq0YZvhmLD1dnU5lGJR2RkPUjX3Z7jN8biNwSpMBWu+TsF7lxNfvg6DtX7s5dCEIHvHnwC/l7oz/RRKL3g+qIp3jTe0rTvscRPZt2JTyDogYxmPMYaOzK+o6wcuX0vRCr83McZbjDIcxs6qIRvbcGA2m1m9ejXbt29n27ZtrF27ls8++2xYji1UrQRjAmNnDS5zPEZFmjqUAAAgAElEQVRLPTIS+5dtCDvz7jbFE1O/E4CG5kNYQ1RBFfSNVG8stMkSov7BCFNx6u+Z+fYFuEzx6iy2zm3HYK1n+nuXUzvzBtzmeGJqthNXvZmquT+jacoKzT50zk48evOgVFTvL3GVG9TlrJ1/UZcj2o+ReuBZ6mdcr+mfcvB54io3cuTcfw/6WLqrv+FD57Kq50VH2inq7HugcRr44miwNzGaqC+4dqSH0GdcEamYO9ahtzXhNieSdkCZhZbwhPmE1tDy1cyY8OmvqS+4ltrZPwj5qcyA8y/QCI1oO6K0ua09ejNNIV7MfOdLavGLQLAqnSsqjdbss4n3XgvTVl9Ja865tGcuIrZqIzVzb9X0D6xN0Zq9JGgiCpQCcur1Lkk4I9Pw6E2YA3IFjdZ6crf7c1D2XbE+KOxotKK3t5Kx9x9Uz/0pBlsTsmQgzmtYBlXnliQOXfQ6smTQGHwCP50p84hu2EnaweeoK7wp7MRPXOUnNBaErvbeFxoffBDHodBeRFn2IPVB3c2HqWAayb/6Vbd9JEkiJkbxADudTpzO4ZsIEh4PwagnZ/udFKxezqy3ziO2eguuiKRuw31s8f4wK0kOXUNA0HtiaraP9BC6xWOMpj1jIW5THAZrvdo+cbOSuJy+/ymydv6FuGrlYZzly/+R3ZjbjlK4chEz376ASRtvDdr3cBIYbx4dEFIIkL7vSc0sNEBG0RNEhZLMlN1kfXE/Gbv/3u+x+OQmbXETOXbGwyH7xNb6Z8fKF95DozcePNBb40taBVR9/LrpWgNquKmZ/SMAmvKvGNFx9AdnlJKjMmPV1yh8/Qy1XW8PHbam8woChCL10PNhtyUf8ecVGW1e5bEAL0dyyWvBx3K0kXLoRQreuxydy4LZa6R0R6i6JOUL78bjTfo3WutJKXmFSRtvIaX0taBk98CQxN4Wszt00euUXPgyddPDF46LrdrUq32NBqa9v5zEY6uYsPmXTFvzDQpWL1frmYSSq3ZGZQijoxsq5/9as95VJdOXtxYYggiKpPNA86GGG7fbzYIFC5gwYQLnnnsup5122rAcV3g8BKMaY2cVCeXr1PXIlkPIPdjLjugsdblreIeg72TtfEhdDidPOdIYrA2YO8pJLvW/EPkkU0MhuazkfP4ndWYVILph55COsVvCFNkLxGBvxhWRrPQN8MxIbjtGaz2OGCX5OH3vv0g6+i4Ass5A7ewfhtxfOAJfuqpO/jWWlDnI6LqZVVcSWX0hWIHfuy3Jn9Drm+2un/kdjarOcNNQ8E0aCnqXPzDa8CXHd8Vgbw5ulGXNtRsKvb2lRzlho6UOvb1FM/ObePQdjQdO52hn5jtfVdcjG/cHVSQPhSM6M7hR0nP4nH8zdW2wRyquYgMtE5b6x+81XBqnrOh9MTvvDHLT5CtIO/hc6C4BhQhHO3q3Ig3cdbICoHwYxD3GG47YXFymeAyOVmKrNjHhU61BWz/9OtL3PRlk1E9/73IATbhWb+jOM+FwODCZTH3aX1/Q6/Vs376dlpYWrrrqKvbt28esWbOG7Hg+hMdDMKoJJefY3QsQaGs7xFV+MuhjOtFonqC8UBz66ut0pp8ywqMJTadXoUTfS31+k6VWY3T4iPJKxQ4FerdNlaTtSnQY+dBjZ/hDXiKb9lO4chGFb5xF/PEP1PbsL/7MtDXfUGP/fWEsgJoM2Vskj1PzoLWkzAHg8Hn/6TE0yRY3MWR7W6CsLkreQU3hDzl6Zv89MicqnhDyv7bYCSET9WOre8jjAGa8e3GPOUTp+55kxrsXk1LyqtpmSdaGrxptjZr1wJfgA197XxX96Ep75hkh231yy12xJBdq1n3etabJffdeuaLSwm6Lqf1cVWgbqzgjkqFLMVdB7/DV+wi8F1addCt1M76j5okF3lv1oQz/MURCQgKLFy9m7dq1w3I8YXgIRjX2uEl9/ozH6I89TihfS1rRk932N7cd7VUSo4/cbb+ncOWiIEWfcYEsk7HrEZIOv+lv884QOkexe97uVbABvyu8O8ztx0K2T/7kx0NW1O78z69n6gehY4J9+Q+Hz3kKe2wettgJFC3fTEfGQjU0KfAhGDibnOA1QuLK15Ox+1Hchuh+j1Hn9Ccut+T6K/faEqZRO/sHtKcvDPpM0TLFuD+y5Alas5dw4GtaRbHGgJCmmkLF+9Iw/Vt0pp3c73GeqFiTZoZom0VkS4mmJkXyoZc058vhJU+E3WdU495eHTul5BVAUQw0dVGCMrUf16z7ck9AyePoyPhKaMM1TLK/K4yIRdfCf3EVyuTBYBQqdQYk6CeWrWbaB1cFhTeONrortHh0yT+GcSTji84QEsRNU5ZTN+uGkP0LVl2uLoebXBpt1NfX09KiRIRYrVY2bNjAtGnTevjU4CAMD8GopmscJSgxut3RVXkp7eCzYVVY9PZmpn74LbK+DD0jp8HjQm9vIb5iPYCqoDSeMLeXkVL6miZEw2BrVB7sI5h43ROB0qiOqIyQ6jUAR898FIC8rb8Lu6/eSvFKbgfmbsK5AvEVvTQFJMMG4gsZcUalUXLhy5Re+JL6UhYYWtIdOV/cR0rJq+hdWoNY6kOVZt/11pJ3YcgaLOUL76Y5bykl5weEqHjPC48plvKv/Am3OVHzmc50f9xwU/7lCPpPqLAo3+xs5p7HiK5TqsRn7vUXjStavlFN4m7LWsy+ZR9rPh84gRLVsBu9o42O1HlYw6gYWZJnBSWO++6JXTl4iVfVSpKonf0D9l/2AcUXvtTNX6jgMcWGzAXq+qIdX/kxEFz4DkCWZYrqbDjdPStwHV38N4ovCq6FknTk7R4/2ytkT6/CKXtL5s6/kL3jPoyd4cU+HNHZYbcJuqdq3i+DG7tJ8tYF5JKm7Q9W+huN1NTUsHTpUk477TQWL17MOeecw0UXXTQsxx69bxICgcdFjrdK78GL38Jga8aW2LNF3p65KKgtb+vtHD/9/qB2nTfMIPHYe1Se8ttu9zt5ww+Iaj6grgfWVzB2VuMMFa88xghUsNE5O/AYoomt3orDq/c+WmmefBkZRd5ZXZ0ee0yO5rcCKL7w5W5nCJsnXERi2fuk7/s39V2Kj3VF5+xg5tsXArD/0tV4vC9/odDbmoKKXgb18Up4hjKYHLF53X62J1KKX6Z+5neD2tOKnsSWMIX2jK9gbi/HFj9ZnTVvzzw95L48xhgqT/s9AAcuXa0ogfWC/ZcrLvzhqOsy3qmYfzvRDTtxRaSA7NGEJU3aeAv7ruhiBEh6HLF5lJ92J+2Zi5B1RhqmXImsM5Ba/DIZex4j68sHMXq9bpakQiS3LWwCsjMyDYOjhYjmQ+hcFiwpc3F4PY5FyzerSe/2mBwlJykAjzEGhzGGxvxlPXoW62bdgCsikaxdj6htRqs/eTf1gJInZE0oCDkp8vr+Np7Z2UKkQeK1q0JfQ8fO+AsxNdvVENKS859j6lp/0nl60RMDFiHQOTuZ+fYFQN/j/0Puz2VR86l8yeNlp9+verhqCm+iLfussS0dPdLoDHj0ESEnPkGZmAnnKTSGmVwabcyePZtt27aNyLGF4SEYtUQ1+RV7XBEpuMIkVgYhSRw981Gydj6E2RsCEBdOpSRgFipt31MhXak6l4WUQy8FvcjGl6+jI2Mh8cfXkvvZXRxf8AelCFM/5O9GC4Ea9inFr+Ayx2OyVOM2RI7gqHrGHfDi35lyEulF/wKgfMHd5G6/E1vcJByxeUH1KY4ufkQpBgW0ZZ9JYtn7ygZZ7vbBbbD6Y9r1jvZuDQ+f8dwdvsrT4WLbQ9GevpDY2tAPjqq5t6ovbOn7/0NT/hUaT4TOZVETvAOlcH30xqBwd/M3d0UYHINHy6RLaJl0ibqutzWTduAZdX3Wm8FKRgCteReoyzVzlQJoKSX/w9ypDZtSixG2hi406IpQDJIpHwUbs0gSjVNWkFy6stvfvHreL8Ju8+9LR9OUK2nLPptJn9yMuaMco0+1TpYVpTdCKxfWtDt5Zqc3jMQV3uPRkbGQjgx/+KA9Ph+XMRaDN3dE7+wg/viHRDXto3ruz8Lu56MjHSDDufnakK/o2h3kbv+9v6GH+0pvSN3vD2MzWmuVcXsnJ6wJBTR0o9Yl6D0HLlWeBaGuJ48hQgn7k2XivF43Hwnla0N6iweKztEBOt24uJeO2BuSJEm5kiRtkCTpgCRJ+yRJ+qm3PUmSpLWSJJV4/0/saV+C8Ykm76KPN+vOtPlIbv/nQ8W9Gy21fmlVIC1EMTSAzF2PhNyWWLYaZI9afyFv+/+Rtn9sV3cNVCRyRqaoL6+2+KkjNaReU7R8M0XLN+GKTKVy/m+wJkylLWsxxRe+pMY7e7oaUJKe0nOfpmnSpRpPWWRX/Xtfe8Ne0vf+UxOOFSgfG4rYWq0ccajcIGMva1wcOcsfQtOeFezZ89GWdZZGLtTcJQY/+/M/qctdjQ4IncQsGJ24IxKVWf8QhCqop9LfF+AePufLE4ps6X2F8+5wRaZQsvQV2jJOJ8orsDDrdb9gQVfxAoD3i7UTDM3W3qtUVZ76O416WO5nd5NcuhKds4O4ig1qDL8sy2wrt2B1evjrp438dWtj0L4mbfophoDJHEl20WRx8UVV78MfuyLr/JMTPvEUtzmRzy9Zz6ZTHkce4xW1Rwuy3oysN9Mw5etBYX8efQSS20bep78hb9sdgDKB4//wIKuieVyYOyuC7uNjlZGcmnUBv5BleQawEPixJEkzgd8AH8myPBX4yLsuOAExtx0DoOwr9/br8605ZwNK+Ire1Ulc+ToKVy4ia8d9gDLLHNtDdVLovo5F7tbfER+gnBXOeBkrqOFKaCsWH1v811DdRxeSpHqbOtPmc/i8Z5D1ZhyxE/yz811UXjpT5mBLLKBq/q9B0lHnDbHK33BT8O7dDvI//gGph14gtdgfpx6qFkF3RNd9EdTm0ZlomnRpj5+1BCQ9dqbO0+ZaBOCKTKWu8CbKT7sLQFPfBPyx8eEQhsfY4siSx4PaqufcErKgXiC2+Pyw2w7Ou5P/zPkfq6fdo7aVLHyAtqzF3e6za1FCt0celJfhuJpP1eVAZcN/NswJ2v8bB7TVx9852Mbr+0LXOulKe9ZiDl38VlCCe+qBZ8jbdgfJXnWvR7Y28sdP6vn9R6FrN4QydnK3/o4/baznzvV1WBz9S1w3tx1Vl2NrFI/nCwdcXLmyhhtX1fFeF6NLMDBq5v6UukKtYIne0YbeZVVrQwFUn/RTVZAjpjZ4MmcgBEr3dr2Xj0VGzPCQZblaluUvvcvtwAEgG7gM8Im8PwuIbMQQyLLMI1sbuOSFMl7ZOz5rVWTtUgqX2RKn9+vztbN/wP5LV2NNUGbr87yVaZO8s9VR3oJmPaEW0AKOL/wjpef6jYv4qo39GttoJH2vYnR49BF4dEYSvGFHddOvRzaMvxdRlzkxKDa8btb31eWuMqNdXeo+kgKKrXVHXcI8ACZsvV3TXrhyETqPQ1N/pjsUz85m7HGTsMfnU7RiCyUXvEBr9tn+Tt5Z6fbMrwCKfLBKL5R6nFHpPfYRjB5kQyQHL3pT09YcEI4Vju48Iku3FnDPZy5+uCefpwtfJN/2POd/nEOlI5ot+cHJt76XroOdSrhRiScbi8PDDW9V8sTnTbg9AzM+WqMmBrVd5fw//lueTqvdg0eWwx7jtX1t/HdnC196PQ2ri9t556BinDjcWsPII8usO9zBy3HaUDJfmFdG0b+Y8fZSPMc2o8fNwQY7IHOh7jMifIIjspv/e+PzoHHEVW/hcJNyX6np7DnZvMHi4nframm1+Y2YUM+tF/f6Jz+KaoPzEhp6cSxB7+nwyrcH4jbF0ZmqKPVN3PzzQT6i//w02hoHVahgJBgVOR6SJE0E5gHbgXRZlqtBMU4kSQopti1J0o3AjQBpaWlUVFQMz2C7weFwDNs4rC6ZdYeVF4gXdrdyRuL4m+WYEJVHrOU4Rxsd0NT/77Uj5WJOq/9S06b//F9ENwbXTqioqGBu8cNUpSymLulUJlf6H+YeSc9+pkInNM24g9MOhI7d950DAz0fdG475+74HrKkw+Cx89H8f+M09j6uvi8YnW0UeisZH868hElVq4jwepwardKouL4GC18lgHXznoAQf5dve/2x/djMKURZq5hcFV7dJr7yY/Ye2kJH9ISQ233n8eGU80lrUYoUBn6fvuO1tHWE/Z4b5j1GhKOZlrC/g5HDuT8gPuFcXIYoOgP65RvicFfvpcZ8EJchBr3LQmGYvQDYTEkcaxrYNSfomaF4XjQX/omvFCmKbcdrW4CeJqViKV34KlHWas7cfWvYXpWdOtwoxuztH1RxlrOdRUZtnyORc6irqOCJXW7utT1OJxH8uKSSeouH94o7eK+4gyeW9L+uxG89d/MO2pCXbW4lxOzQsSqeO+ShrIvzcUo8lAY4Ov5vfR3fmS7x34PKi1yWrpW7PvNwzTSJM7OUedh15R5WHpY5VYrl2oBUp8BCtnpnO/81PcgjrmU84lrBPYb/cq1hHXwEB/O+RUrrHjaY/c8XhyEWk0sZnNvjAXT8fXM1v5jn/z4cDgfl5eVsrvJwkXEHHSkn85+DenbXybyxs5Lzc5XxTfW4cenMGDzKLHi9rPXMmNxWzXlV3CLz8C4P35+pY36aSDgfDCqlAnK7tJXVd5DbVItPS6zy+DHkMEqQaWlpOBzd188BZYLZ4XBgdGn76jtrsJqVV2NJ9iBLEjC8v63b7aa6OryqWneMuOEhSVIM8DpwqyzLbVIv405lWX4SeBJg1qxZck5OztANspdUVFQw1ON4eU8L2XFG3ituB/zut9Hw9w82upJ4OqLnk5Pb9RLvG6Z4t+JPC2BGmTZEpX7aNaQWv0ReRhIZ27aT0bSdohVbmLbtFbVPU/4y9XuWMpIhjOHh6zOQ8yH7s3tIPO4tnuid7Dit4inKFj/cr/31hKZY1ozL8DR/Cl7JzJj0iePq/Kqa+3OM1rqwf5M9JhdzRzknNa+m8pTbmfjJ/cTUd1/VPC/aTluY/Rn362nNPovW5HngzdddUP0MlafcTqDTWTf9InLiwn3PSnvP1QqUfoGJca7SfLIbNpHdsImiFVswer0fNbN/RNq+p9AFqLMdO+NhOtLmkzOKpZPHC0PzvMiBIpCR+rjvHH74+U/5p+lvANzrvFqztUMfByhv8PU2WMmZnJkFC5NtqkiBac4yPC0ODrZU4zsDpZgkwO8xzszKRq9TnvEWp4eb3q7i54uSmZfZs3iFc18NldZksqXAXAplX+b4FMratSFPiRF6Hrwomyte1sbF+4wOgDoSgCYOdZi5Jkfx8nVWNgIdtNJzPZy50mFmSUcVo8PL9OPaop17jCeRPvUU0vf/B4CFugNs9cyipFX73K6oqIDYdHZv3MyfzA/TxGXcVKeo4VU5IsjJSUNy2zE527AlTMHQUgLAErvyTIgz64g26bDpTOTkKDkql7xQpu6/2h1NTo6/Vkkgm8o6+fOmBp5dlk1ylLj2e8Vn2tXsvIkkd/qt8bz0RFXGuitut7vHiuSSy4bD7cFoikLfxUltcnXgjs0B2UNkSzEuUxzOXnrMBwu9Xt/v+9eIyu9IkmREMTpelGX5DW9zrSRJmd7tmUDoAMoTkOd3NfPinlYe2NzAvrqxUaRmIBit9bgiBq4tEFjJPBStOedgj1Vmq03toWcg29MXUHPST9R1uUsMfHOev9aCr2bDQFCNjgBMlv7NLvSGwER+e9xEjp7lryrtMo8vfYemKcupnf3DsNur5yozv7HVPunLnidD8rb9Puw2ye1A1ptB0qnhKIllq4mt3qqq0tTM/hGOuNAek4Gic/m9oQnH3leT2x1RGTTlL9OO1ePqd70Wi8PD37Y20G4f5MTKfuLyyBxr6XlWcbxwsN7OkSYHxRe8RPFXg2tSBCLLMh+WtlPX6eJnq6tZua+V1Z4FPOS8EoCV7rM0/dcd6epRl9iRfBl1s26ges4t7L/sQwB2VGnDfFps2nPB6vS/QZW3Omm2ufn3jt5VfT7e4qAhYHb/JZdfbWhNSbDH/5ll2Rj13V+7xQ3Kc/QL77idbpnV3n21yj0bHs7IFN4zh68JBFBpM3HtTr8MfATKORlh8I/tuV3N7Kqxsn7bdqK9E4qBNUS2lishYnpnBxIybQFhlZ0oRpvDLZMabVC/8/8VaXNaPN3k2Xzg/ZvLWnpfSPdExxKimGfDVL9s+kByMTocHiLajxFjqQBZRud9Pru7vHf4VCgDBQz6gtvtZuHChSxbtqznzoPISKpaScB/gAOyLAdO474Dqj/1emCQKviMbdrsbl4tCn9y1Y+3GE7Zg8lSgyNmYN4OQJOfcHzBH4K2ly+8B49Rechkf3Gf2m6w+G3eylN/p5XJ7eKZa5x2lbqcOICiU0eaHGEVT6QhjOucujagqrCkwxmVQUeqkpPgNg28KvBYwievabA3g8eF1OWBXXHqHepyYJXunO13hYy91XkceLxKNG6j/2Um9eCzqqFrTZwxaOPviiPKX18mZ8ef1ArU6PTUzfoeVfN+qdYD6Ew9qd/H+aC0g7WHO3l9f/8eggNlW7mFP35cpxaMu/yl49y8qpoGi/KbfFFl5cpXjlPZNvpero40OzjUMLDJpF9+UMNP3q/GETcBZ3T3dXfqOt08uq2Jm96upKTRoUrPPua+gom2l2hCG9LZaAk2JpMi9SDpOJx3Jbsa9ciyzNNfao2II01aw88SIG3rM0KOt/bu9+h0yupL+1ft9/Fbl1/6fPPx4Po8Ps+Kj+eX55ATpzWq1x3xC2h4ZJk7PvLnQjUQPFtdvPRVTYXz8x0f9TjuJKmdYjmXPzq/CUAsyv3d5pLpsPuMhDYmlT7DA+2/5s/GJ/1/A/7vXZZltXK7MyqN0nOf5tWZ/urkNpdMrElHm3efz+3Shtm12z2UtzqxOINzvHyPM6GH1XtqC3+ALW4yABbv/Vs2RKrqVlPXBRfA7A12l4fqduWa0OHBaKnGYG/GIxlwxE1U+0lue9iCtL3l8ccfZ/r0/uXQDoSR9KktAq4F9kqStMvb9lvgfuB/kiR9DzgOXDlC4xtVvLK3e0WOXTU2zs8fPy+IKYcUd3VM7faQtTX6SvWcm0nb/zQdGQspOe9Z9abge+Hy3XIDJSCnv68UjmpPXxhUCCuQ2pk3YEuYyqGL3qDg/WVI/ZTSM7UfJ2/d77jX8TOuD5HL3TXZeSionfk9dbn8K/eScOw9bAk9F20cb1gTphHZUkzhG2fRmL+c6AYl1Ko9fSFO77nQOFmpjdGZPIfoxj0klK+lI/1UWiZeDChepFlvLAH89Tk8Rv81ao+dqBY0HErjrnHaVRoRhMRj7ynjc9nxGKJoyr+CpvwrKOeecLvoEadbZuMx5SVu5b42ZqdHkB1rICPW2MMnB48/fqLMMO6stnJKtj90x+ZUru1ndzZjdcnc9E4Vq741NN6l/vKT9xRv5itX5hBj7n8eRG/xTW50fQedmxHBrprQRdO6YnUpH/7Je9U0Wd3ceIrfM5oVa6Cq3cXaw1rp6P11dtImKa8drTb/wWVZpjdh1g+5vs7Dxn9yTO7ei50a7f8Oo4wSFqeM2SDxh3PS+e5blSE/c9f6Ok0kgRs9E22Ket0UqYKTpCO8/pabd775DnO8RRJ7wx1OJUl9pftM7jC+yDcN63jHoRTofGRbIz8+TbmfzNMpoVMTdX7jJ4EOGr0G0O4aGwsild/Go4/AlljA+kNKWJgPCahoc3GgPvg33FRmYVOZhcI0M/dfoDVMHV5jfYD5/6OGdrsbvSQRZRq6ufXOtPmUXvA8RksNHr3/ftOSd4EqUR5Ts52OjAXd7mfbm0dpqvQbzm5ZxuGSOSz5fkN/4pLHsC+gCK4/h0jWGZF1Rfi880nZUSy8YlK3x62oqGDNmjXcdtttPProoz38tYPLSKpabZZlWZJleY4sy3O9/96XZblRluVzZVme6v2/dwL345z1R4K1/wN56oveuavHChneAnBGy+BE2jVOu5oDl63BY4zGnjBFba+c/2ug+/CotqzQDxm71xvT6ZU49UmQppS82ivloEDqOlxM++Bq5uqO8BvjyyH71FsH76kguWwUrlxE4cpFGs3xwFoWblMcjdOuHtMFEftLYAVxKUDKsGbOj+lMO5XKk2+jZs6PAdC7/Ndmzo57SS5+GZ2jnYSjAbU+1MrkfgMjsex9VeGqa1Gouk4Xl7xQxu6a/uv9+7DHTtSst2UoLz1tOUsGvG8f926spyRgdvvO9XXc8HYVa0raqelw8ub+NposrpCzrb2howfp0ZUBUqk7q23cESBx6vK+TbkDLp/+yLvuqrZyyQtl7A2hGtQTbqeMO6iQnYzFshqPxz8z7fM8DDX/+Cz0Y/WaOfE8uyybBTk951xYnTIeWabJKxv7ZEDI1IMXhva4PLTFn+/RGhCSt+qQNiu83e6mrsNFTbuT0kbl+os2Sqz1nMJs+3+wEsG8zAhuWRA6Z8EQ4O148MIMvj0vgSijjrSY8HOtX1b7f9dLCmI5Pc9/TZbKObzuUeqF/OmTeubYngz6/E7PlKC2cvM0SmQlDt6XM7JAd5C/GR/jfsOTNFaU8NIe5Tf3eXMCSZT838sdH9WpHg+PIYoXd7fwQanf6IgwSFR3KN69X31QSziKAoyrilYnsixj956brnFieVz9WgVf/1+55u9xuGXu31hPRS89bL3FGZWhyeWwpPi9xhM3/5zIxiLiKtYHf1B2Y2o/7p2o9I9TlsEo9S26QUli71ty+W233cYf//hHdLrhf76LLKIxQH2nS33wXj4jlrcOtDMp0cjRZie/PTOVezfWD1iqcLTSMO3qnjv1loAaDiUXvIjbGK3OQDdPulQ1drpiSZ4dsl2dxfYWpQsMo+lLbQePLPPdtyo55vVyXK7/NGS/LKmRdRtWcvLZK3q970CMnVVM+uQWjp71OGn7n1Lb0/Y/A4A1fgq2xK0fgYAAACAASURBVNCFyE40Ah8kPvnlo4v/ij1eca0H1kcILLoIkLnnMTL3PKbxHvnOEVkX2gPQtbDhmpJ27/8dnJQxsKrxbnM8xUtfZdoaJf7YVw9B7kV18t7yeWVoA+mx7f4X3P94w3AevySTCQm9r9Be0erkB+9Wcdn0WL5/SugXzcAX9ne7vMTa3YrMamD8eqfD02fPwsdHFQPzz5vqeWFF30JAtz7dgN4ocdp1yei9sf2S7kvaO56mveNp4CEg+MWv3daJpIskxjtz6/LImpdqH4H3/yaLi6QwCcL3fFzHkebwntPsOCPxEXpWzIpne4UVvaQ12AJ5blcLr4WpjREfof1ur5+bwLNdQn/a7H5jckeVla9NV8K7nG6Z779dpTE237g6j06nrHpSAOZlRnDhVGWC4O/btYaUMeA7mpBg0pxvPm/XNa+V02b3kBylDwolu2F+Iq/ubSXUnfhIs4O2LjIPxRe+zE8/NrDRrgRoFGddwbSqN/lo8q/Bq0shB8zzXua9x5+v/4L5JcpzJ0EKzlPJlhr5rn41Lgys9cynqDKefJTK2S8HREHcvCCJeZmRWF0ebl6lzQW8ZUFS0PdTVGfjNx8GGyeOcD/2GMIXWgnw1oE2VsxS7uUfHN/PF7zE5lXfYdU3p2B1ethWYeHkzMig83UgOGK0Cde+mlBFK7QV0M2tR9HJLpacDS5jIs6oNJB0HG/zUODRPlN8WBOnE9FSjBQwsemIysBtTujTGN9//31SU1M5+eST2bhx+EsCnHhTmWOQ77zpdw3fMD+Jp6/I5tGLMvn3ZVnqrIzNJY+Lm4bRUovkndWpn/ZNGgOStQYTe9xEXAHVaQMv3OILtR4He3xol2WHV7PbbfJ+VmegJe8CAEwd5SE/0xVjZxXpXz6MOcRsl4/GKSso8yjSeZPq1iLLskbXvbckHX4Lk6WGjL2PK1XXvSR7Y/5bJny1z/scr9RPvzaorTP9tJB9K075bch2n4pNY/4yamb/CIC27LNomvS1oL5dDY//efO5QsXW94euD0NQFG8GmlcAaAqhJUT0/Ej58aq+iST4cgDePti3Qo0+Dtbbg0JVr3qtAqc7fN0HHx5ZxuYNKcqNV4zG1H6o/ridMg6Lh81P1FO5RwmVcOKT6vZf++uOdGJzefB4rLR3vICl7Roe3bxS/Tsuf+k4l7xQFuQ5ClzfXx/8m7o8Mi6PzPYKK/Wdoc+pxy7OVF/AIr3G0UkZ/pjPa08KfrmxOmW65m8/fbkiKHr3OWl8rSCW352VymUz/Dkjq4uV3zHwHpaf5DcMrnj5eJCHy5fDuGxmHI9elMlPv5LMZV5DJSsu2JhfMqnnxPCXrsxl1bcm8Owy7bWhkxSPyTdmx/P7s1K5bHqsZrvJa9QcOOMxPDojxxY9iCM2T5Or8mbCdUy0vURsevfhLpHe396IizjJb7wf9CiG7SJdEdcYNnCdYS3Pm+5n/1HlueLUae8XS6fGkh5jYEK89rtYmBvJhVNjWTpVayhtKQvOiQF4cHNDyPaxRE273/B4ZmcLn3rzf15tehBD9BH0UYc52uzgutcr+MuWRu5c7/eOyrLMvRvrB1RZPixd8/8CRDwMznYiWw8T0VKK2xXaI+O7VfnyStTduPt+D9+2bRvvvfce06dP57rrruOTTz7hu9/9bs8fHCSE4TGKkdx2Clcu4k3T/2na06INSJJEZpf46Sbr2E4wj2wsouD9ZaQeehEAe2xeUBL3cOCIzaN6zi0AHFnyz6Bq1z5q5txMyfnPaxI5W7zqVqEqX4eiYPWVpB99g9sMr4bcLiOxMuF7FMkTAVisL6L4f7/hmysr+vzSqHMrN9OuBaj03pjR3hQcO1GwJUyjes7NverbMvFiDn11JS5T6BordbO+j8e7zRmdSdX831B+2p2aPoGVwt8v9r9g9xRi1BdCFSj8xZqBJScC/HGjX73lnMkxFKR0780wd6M01Nr6F+rqr9O0dafGA34vQXZsaIPg3180a2aHfVzx8nF+t84/6/tBSTuVbUroycZjigHw5I5mVrxSjtsj0+79LUqa+pZr1XBEe52WbuzA4vSw5ujpatu/zrsVo07Z7/+KWum0vIbF8hoAp6YrU+b//Nw/a/2jd6s0+/zbVr/E7PaK4JemZS8f5/KXjge1+1j1rQlMTPT/bhMSjNx0aiI/X5TCvy7N4ukrsvl6Yejz2y3D4gn+sCRffsX8rEhuOjWJr+RGYdJLzMtUzvHHP2viSLNDVY8Cv6pUuN/aF2qcF29kcpKJ8/Nj1OTxtGjld79seiwTE4w8cEE6V87qf72jmxcoORcGncSC3CjOn6K8tCdFKn9Xk9dgcqTNZf+yj+nI9P+OP3f8gCrTRP75pXJPjTVrX7G+4/iVZt33eMuXtL9nZu4UXOZEzjIXa9pvdynJ5PUO/7P/oYCwNkmSmJjg3xah16l/U37A79vVKziesHYJabx3Yz1Hmx24vWphUXnPcMt71Wq/0oDr2eWBT49bNMbIYNE1CkIOEcIsIZMghQ6rPyxnKyGiOgOeAG91uOdOd/zhD3+gtLSUgwcP8txzz3HWWWfx9NNP93k//UUYHqOYWW8qrrl5OkX8/5krskP2O9WbSOkcHSqWKjpHG6n7/4vk6l1MdFyl4vJLOKZUzA6ngT1UlFzwAuUL7gaUhNyiFVuwpMwJ/wGdQQ298WHvMrPscMsaCcn8tdeTePRddV32GjXfM6ymK8/OfYWtX/uE+zY382vnjWr7cv1mztDt7bUajDpc7+9gtAbfVGV0QXkGJzqBKmKt2Wd101MxKOpmhJ4xcof4Xv2iBr6D+W/FgfH32XEGVflmoNQXfCtk+0Djums7/N+TWS/xwAUZvHl1XpCCkI/ceCM3r6rikhfKsLv814bdvgObfSOy3KrJwQgMyQn1Xfiur4sLYoO29YQv3v3Vva38fXsTN71TxdZyKw9sbuDhLY1q7oHNJWvG0dscEYfVw773g42eVptboyBk0HmYl7YXULxdB+qaA7Yp3+/hgBekBotbVS9qs7vZFmBsdIYwVkP9xDlxBv6yNIO7zg6u0StJEl8riCMhQk92nFGd7EoPkyORn2TizrPTuHlBUtgk8ckBL76fdzGODjc5cHvCe+1f9UrDRodIFk6PMfDCihxumJ/IY5dkMTMtoleJ6qF4fnkOF0zRegeSvQbHV6fGoJMUL49RF6yaBfCG50xOb7sXX7x9apSBVd+awAqvIbTBM0/Tf6dpPgBJkuLh/I7jV5REz6d++rW0ZZ3JNM+RkOPc36J8D2dOiGJ6qjZk8tGL/Sp2iwIMwoe/2r3S2XigweJiV3Ww4X3Le1ovqyllHTpzJfpI5ft9+otmnt/VzLWvD13RVIOjhZSDz6O3t6Bz29UJv65kaerUKFTJyVgxod4uA/PV9L0PWx0tCMNjlBLZuE+z/sP8FnLtJeq6ztGuZCEBF3pvlC/vGZ7ExN6Svv8/pO9/yi/f2QOpxYqnw2hT3L0uU9/iFgeKPW4SrbnnDWgfzphs3MZY2jJOR++ycPXLpVz5qjfsyuMisrWU7C/u/3/2vjo8jnJ9+56ZdY9Lm6SpKzUqUKHIKQVaCqVIkYPLgXJwPbgWh4PrQYoUSgulQJGWurunHk82ybrvyPfHuzuzszObpEr5ftzXlevaHcvsyPs+cj/3I/3PDHLB18XuwqMreVz6DRkIA5Abr9N1z8qinO1BOp0HgCj9J1D0/8ki8tYQTtFprx9wR5vb89oMjptaX4yUZamSvOmG13ZnFJd8U6OQJT0UOMvOxa1lP2CV5QxR2hMgajmHCkEQ5I6HhgJDU9AyFN6eUIyvLuyIuZeXYUo/O/rm6zGqzIQ9rhgOeOIoMDnx9VZpzPJ4JVWtWGyj+Dn1t3siSqM6lFCtMmnpVqle/+hixsxLlO9bS4jFZ5uk83gmkcFZXi0ZBnfNq8evKYW8le10+pO0qnQ89l0D9Iz8nt54wifok0M6ne5MYbz0ztmFfc7foKHk//PSb2rwwtImcYxIIs8sf95mZqjDmDosBz1y9TIFsLZg06tf3155egzpYMS4bpmdv8tTqFrpPSYA4nCH4607dAaN+v93GJhDdjYA4MYhRJFL7fdZ9Qy+vqgEF/eziw6cmkbCKyqGfbKPyJR+UhBtZbd70Nz1IsSNeegtkKBiUmK3QchGw5hXEMnqAdaQlVEh8ZW15J29cqCyxxJNUZh7eRk+Or8DTiqRxiQ1RymJ1CxJazTe5hCLX3Yfv9mSq2bVqlMy04q19Xm/w9z5dZg6EZGAWTt8mLHVd8QyzJ7SMxXLCje/icKt76DXD+eIQcDW4E2pI9Inmg3GEw8gn3A2ItayjIyM9mL06NGYNWtW2xseQfxtaRyn6PLHDbLv99XejC4LroPBswsFW95G7znjULDlbQCALjG4Lc7A2/yzkLOHcJMN7oqM2xjcFbBX/iJblhxsj3XG40ghnNUDtobl+Mfaq7Fdf7W4PKlIIkLgYPAfkC1a2+dh7Dn1ffzOD27z/2hxcNQ6a91S2fc9p/8P7oT0Ky38tWl6RwPB/MEIJoQF+HYUYh+s7PCO8XNRPfQxcCkNGicluiwPLDIg28jAm4iyH45zsKclimVVQayvD+OHCj8ubr4GH3DniOsfXeDE6pqDHzt2NkXxfpqaXipXn6IosYD7sv4OTBtbKFJP8k1OPDPyKTAcoRMJggBfTDJMg6Fvxc/zUgx+tYh48trEOAFDO0iG1h0n5yDXyOC0kBalcRojO5qw6p1mvNonF11TzvO/KyUHfkhEg8kBZQSxxid/P6bOrRebz7WG6nXq1/VCnxZ6Rrn/nYPJmM7ycmPCjDdwfrcfxe/ZBhf65mzHogPy4+ebGbEmJYk6n/LdfvqMfPQtUNHsbgP3jcrF5D42kTaVRJ/8to+lZSi8ey6h+0UT9zHPJP3OX/YEZBkwNeg1R4d6O6GHDXMvL8tonJt0NOg2HJtuOfIxIrU2RJ/iMFn6n4eGAbdBG26CI+6Egw7BTpO5IQCD6DzHTeqSwSu734swyPU2tHI98s3KgMfL49SzHrcOz8G9I3MBSE0feUHAK8ub0eCXHN4n/nDi9VUuRWPI4wHpmT5K40MyNUDRrYyfdEhGFUziYAV7GqONeGnvS/DFfagZ+gi2nf+HbL21YYX0LxO0Z1ZrBatVl1LX2IvgFUyIChowenJ+yfGPNeYiZsxTNDL+q+Bvx+Mvhq6/X428RI+LZIagMAO3+XiBvW6xamM1AOg6/xqUrHkCOr+Sf3ywSg3HCyheGpQZSkAuvGgJsYrUqlals2l2biEiOb1xRhdlceSaIa/Ivp9FrwJAins/3egWG6epQe/ZA124EQLFwFU+EXFDLiKObmANuQf12/6voXLUy9g75h2xRqM1ROxdwdNaOHv+M2PBeSo4QxY22U5RNbYcBkaUKQUkRahDwe0/N+DZxc14cqH8ebt/lHTv9x5CRuXuXxowJyW6+Nb4Igwsaj16btURQ9OmI85EJ+t2/LrHjzo/i41OqYkiQ2dhvzuGCdMrZfvvV1FkSkoOZxkZ3DAkC7cOy8ZzYwtwWrkZr43Ix+CYBmdEtciPkenOtS2CV88uwvgENStZX9AlTmNMRItytn0RRLW6EQUSduHHVrnhoxVoZBnU92coDud0/k2xfFynBXjg5Dp8e0kJru/3Ke4Y/A4MjBTMeG5sATgBmL8vKKuVsCcM2dyEkX//qNxDVkortGhx1cAsPHRKHu4eQZ6fE4vbf6wONi2KUuar18cXizQkQOLnn9PdimsHZeGekfLxqTVD+1ggNTPQ1naZFNjSsVF3He7tRmqtAoJRzNx4SsaK27hThD++qJSul+Ug+1R0z9XjgdHkmg4uNuDFMwvxxGn56JGrhyMhLNAc4vDVFg/u/aUR8/cFcd33Uv1Jckzij0MVzVQ1K9pQBUu3Z6CxJTKnCcejk7GLYj+NZZeqzPfbq11t1pelYtruaVjrWYsPq4ioSHsoUHFzMVijRHVkBel+UhSNSqEAFUIJNAx5Z1whDt4Ih10ekEaWf0IN7JHA347HcQSKiyFn15cZjfRMKD6GTboOFUb3zlbX6wLKpk5chkjAcY+09HgvuhIzt/ngdMs7Ovf46QLZ91BWT1ED3JWmZvT82AIYy4ai4qxvsJgi9Kj/6t4EeBYXfV2Nr7f60DDnEXSefy3UwMSJgVg/4A7UDb4XFeO/BygKnM6a+N9Hr3P2Xxm8xoRwrrqcsgIUhe2TFsLZ90a84iIFp2FkzpR4Ixymzq3HM4ub0BxiZRQHnUoB9qH0nmgN5Smc+8MVxMs2Mihth0RuRzuZQDvZiEPRxXEA76xugCYyGaM7ShFBUAxu/bFepDKXWquhY6J4RYVemFSbOrHYCIOGxpndrOiT4PnHAsSgyGFp7P+FvH9hD7nO6RLAk4LSvcrR05g9pRTpzJ5Uw7O1IvkkKmkOdQyPJkbAB/l1KD+TiArorPXoYq9Cla8DFlTJ+wRN7PJTxuN1tUxDLPIpumcRbvrworXiui7ZOlEFLfW37XXFYNHR4v1Op2IdCvQaGmPKzZh7eRkeO01ZI9Ia6lNUhyw6WpQ7BYCtiR4pQzsacX5vG4an9RNRey+OJdqaazvaNBjeKYKWorswZd0UuGIu7Arswkt7X4K11/3oUdwMQRCw3rseB4Y+Ju6Xu/87AMB7k7uJywSNAcEcUmNI8VLW4RcvqSPsnadvlT6VCUlnRc/Q6Jmnx6CE45gsnv9kgxvTN3mxUyWjl6Q6tpGY+lOQqlxnziYOxxUn8ji51ARd1koAwDkFZ+HyjvJaN2PhXDH4AEhCCfP2BFDlaZ1SGeEieGznY9gT3IOGKHEeV3tWY6dvN3hBQHPXNvpfU5TMQdktdESVphxhe1fRAbXoaDA0BQ1NQYCk8MYfh/egvfjb8TiOkFvxOYo2v4G+s0ghqwAKMwarqx0l0XfmCIBncUk/O2gKrUa9jxVstQvJeaVAE1EaDNqQpCijC5GXVmYA/0VrDlq6yyWAe1JV+KHCj5WLJYOiaMNL4ue74zdi+onfYd/pH4oRjJEpqd9ODi16J6gMcXMxTGPuFtf9tLkWGrC4kfkBZ3ELYHLvlDcvFARk750FS+NqAEAopW4BACL2zmjpOhk1aSpLfwYEQfj/poHVt9t96Bf5AEMib2bcJjmBrKuL4KpZtbhspsTVdxgYjOkkz3otrTo0KmWmuocONq3IPT9cc+69iUrFLDUkOdQ6RprQHxj6imK7SESiKWioOB496QXcMegd1WP6ozyMGkrk06ci7JOcudTXomF7GCUpMqx5nHzf6/RmaBkKMy6S14Q8MkYysldUt34/BEGAhqcQpRI1KLow9PY66O3V0JpcsOs9yI2YsXDrJRAYSWJZLduRilBotvj5it6EqmbSUrL6h0gicxCI8VhfH4HDQOO6wVm4coAD3XMOvRg1FtsK4SCbo7YFi45GWcKhezfRhDAp56tP8/zaojsdbfhj5HlK7dKeijfHF6PO9pr4/ZYtt+DRikex1kMcRDbvU/za9Cte2PMC5hjlmTWe0sBokFNnKke+gGDuQDh7XYP/DZuH/pH3EAW5f4+MycOhoF+BAVP62fGvofKMTJI5sc+tNLbr/HFZYCRT9/c/E0kp6IdOycOwTuRcbVorHhiVC10OoRkPdgzCGXlpdZyMROUc19UiE0FIV8jieAFvr3ahykMyrxWBClQEK/DoTvn8+fjuR/D6yhYYvOriAOmI2DrDYyxFHAzMBq1YA9jRQqEwIehg1dPgBUEMxvyF/Y6/HY/jCQaf/CH1lpwBp+DA6dEXWt2v+7xLYNbS4AWgKfTncvXpeBClK/4jfnclGq1posrC99Sah2TncG+iDwZPHd/0sVaRFplONoa6WfO9uCxnr1TM5RQcMFrkVJ6xXa34/tJSfHZBR7x8VpFsnSG7I3w0oaHVbV+KlfqpeCCl2zmTcq1NzZtQvOEl5O/8FIBKFoliUD/gDsSsB9cQ7Whg+iYPzvui6i/dj4YXJBUzP0wKUYBUxFtxss7qblGo1exukWhG6epOHC9g/PRK/FAhZdUWHwjCGWRVC7KTFJbLEgW/X27xHlZGJVPRbzpGlpoBCLigm1RQX2qTjJiltcPEz2eU/gGzNgiDhkReu2fthbzDr4AV1SF4IpxCtjSJYIv6eFi7JYw7R+SI36/yyw0+vooFzwrQa2h8eF4HXNHfgR8uK0W+RQONANzlMaBrtHVKVjAuQCcAsYStbNSQ8U5nq0ewsQ8qvnkPVQvvwaUBPeLO9tFy1FBs1eD2k+SUpOStvD5hIHbJ1qGDTYsL+9oPuQg7El0Ft+c/CIfnHfK5AsBVA8kz99TpkhNXmRZZTnc4AOCrC5W9aI41rhyQRRoXdlXPxjM0BXc8My3SGXPi4+qPAQBNsSZUnPGJuE6tzo7XWrB/zBuI2cpQkmWQFRwfbANM8f9QFC7r70BWmuOjoamMVLYbvq87Ij1/jiYEAbDqaAwvMYFPOMd1kTrURSSqmJExQk/rEaq+CsH9t6buDQCY3NeGjim9UBr8cSyrCopj4wfr3Phxlx8PLzyASJzDRh/JrJgYpajCb/ubSEuAFPAZajIERocoRcb71AahDAXxfXWkNTl0h4+/Opv24m/H4zhA8frn0XfmCNhrFsiWUwIHf4zHXqEDlk9YjKbukhINq5PS07pQPYR9f0CHOG74Xq4HfrA43A7otrol8uNpSNRWzfFIOhsAYHRXgKd1aOkyCftHvYrtk/5QbH+8IfjY03j16Zm4ZnYNbvtJkuvzFY+SbXeLZg5MiMBMqQ/czYJdjGqkgqEpZBkZJb2AouA89WUAwKu6t5BLySlcTFCSy9UF5ZEp/hDpayE3C/YwFT/4REajKcjivC8qMX46+dvqJGluSbr0rxnLcYc5nPt5laRilkAmnnAm+esp/ezINWlwdncLLjvBjp65ZEKatd0HQRBwwBPDJd/U4I99UqTOnYhGvruGGD1bGiN4fmkzrpktv//Txhbg88kdcUonZQ1RUlq2PUg6hx2sGrx3zm6Ew/Kxi2XrEQzOFCfsSHQlfL43QcVewIdjb8t43Ln7JF77lJ6z8cTJz8rUnwbnb0JTkIUgCFhdE8bTi5qw6EAIVhUjTBAEOCvUf1PEx8KqA94YXwRjykT/fkotRthLrmmBRYOL+0kG+yunFoAGhdERTasZ5lCch1GgEKEEjC1bgAeGkkh4PKisq2rYSCiWAk+hfs0ViHg6gBcoUFTbAhuvnblXbCQLCKCYAN5e40JjgBV7j0zoceh9LZJg2QMAAI5X1qYdDCb3seO7S0sxoJV6oByT8n6qSekea/TM0+PJ0wtUHaMkhmcNb9exvmv4DpP3Ptzu/23RSdekW/bRkVDVtELdemLh4d33o41QnIcp8Ywkx515znmYXjNdse2t/Ubg2dGDJNpVogYk36yR0fs+2rIX05btxx5XDIIg4IcKPxjTbsRKHsXNC3/Eyloifa4TlBkwfd7vcPaWS6xvP38+9p72AQCgWdsBgRiPQCKL5k8IiWRiE6bfm4OpPzne8Oe/yX8D2fu+V12+pDKEeYkmS2YtLdJwBNDYddbXsm0fiTyP/2rfOKzz2FgfxsQvqrC75dAjGxQnL6Jk9VngNCZZFB4Cj8JNr6Ns+X3iIl2gGqwxF6A1CBYMOe5pVv71m2HbuhF3bZgBZ5DDXldMjHTHBQa3xW7GuKgkm2sFoWV8wZ0uO85KvheqteVimri9iJmLMq7r/se1YCJkQOy49hnZOk4rGZwhN4tYqG0jXxAErPnchWXvNYvfD4XS99YqF877ogp/7A/KOML3/9qIKV9XI5iQ0lxXexS6xh4DTN+kLmctZnB4yLJhmTI7lyToTzRFYcoJDjyREhn+drtPLASfvcOHiZ9XYldzFPtTisNbQiwe+K0Rauibb8j4rGXaZ1NDGM1BeTQ2qWpzXi8bmPjr8PlfQ6NzIiIRUqfh8T6FQPAz8Dy5Jl7vswhHfkU0ugKZ8N7mK1CaJc+8OfQ+nFa2R/xu1oZw9exaLK4MIZh43zpY6vDgiTeB4+T9aaL+zM82z5HO4Ba3gFd6S46Al5HuSdPeKCrm+0QHJInQZjI+OngaFS1RNATUeeC7G6IwCxRKinS4uMd34vKlrNJICbVYwfseQjyUA+/+0ahZOhUmy0ug/e9j59fvY/bqO7CjRV01LR4jDUEDbABdOi+HpftTCKMB16bQYdpq6tgeRMLzybmGDl56UxBi4HnpvU43otKbE6ZHdwEcllzusQQFCkX6IlxQdEHbGwNobzcmi47GOd2tuHKAA6+cnXn8PxwkqZD/HODA1GHZmHNZacZtjwdadyqCMR5mLYX9of1Y65Vqn5JZiclFk8Vlp3fWoXeeDjqavBe6nIWw6YlyGUVRuGYQycqxHafBVP4GNtRHsD9BQdNYSFsDr1AFp49kMFpY8q5FnWciXHMpOWb2cjxR9Q6qhz6K/aNew86zCUUynN0LIUMh6qI61PvjqPez4HhBLHBvb9nOkZD+7dmzJ4YMGYJhw4ZhxIgRbe9whHB8W3f/B5BaNJaOvUKx2CSOoSkxy+HpdDZ4jTJiOY5ZgwOGS8Gzh6b5vzph8G07iMhnOmiO/O9QVk94SseipdtF4HR25O75GsZEx+yec89V9PbQRFzg6eOsEY4gAE1NoOb+CPjkWYXm9z9TbL6hPoI4J2DGVi++50dipyAN2hPySY3LCq4XtvNlAICpuqdAn/8ePr/w4GlOQhvyrvbaReorEtzRiI/Dms9dWPFRM5x75c6iIAjgUyaVFJEuLHrDiR+XeHD+l1ViA7P2IimLqrafP2UQfWl5C+oTnOIjXVB9NFGdobeDdlsE9hlu9F1shmkZcUAFQcCcnfJnSpezELSuUVEwatJKw/SXm71iZ+p97jg4AbhzXoOs++5XGdSWMk1o945sXdnsP787ZZzuv9SLPQAAIABJREFUaHQtPlpHMnypTfUAwOubhkbnRHAcyWa63HdByNCLIB2XDz4XZQ4dvtl1rmz5uDIpYpl8Gl5Y2ixOvE+cTBz85pbrZftFEvUdvcdJRu3wq4nRz7NGbPjkLGz70Yu9S8lzOfyqHMy5rBRlQ0j2oHJ1EA07Ilj9WQt8jeTecnFB1on8/l8acePsOnAq/Sd2/kbub162vCB5k159fN41rwwQiMHNhnKx8X9WsflgrwO9kW9VNwJphtC0rt90PZx60pyU0jVD61gNKsFfPxijnWWrwLLyzLkgCOD4xpTv5BrEYtsQDLbuiLBsFZxNF6Kp+RKwbLXqNqnR/LFd/qKiIgCeqHgCK9wrIEDAeYXn4ZSc1huPAoCfbr8Z9q+h2biw79GXmc8xMRjXzQqaovBRWuPiZLbFe4Qamx4phOI8jFoeD+5QVxS8oJg4goLAwdl0IZxN52OIYwgAQJ+7CG+fJ40Tk3rbxSwIrfXi040eSLeJjDs8awdArgFFk/Eh5hoJ1i81Hd7q3wJ3yRkIFpwI1kQCSCwvyBQLAakJq5amWn1X04UhjsT8+PPPP2PVqlVYtmzZYR+rvfgLE+n//wCTRkGqHXw/OqybhpV8L7zFyifglu4XI5g3EJFsUoBdN/BusHoHSlc+JNsu4qqGKV8pG5eKJFVhULFRLMpMPsOpj73BvRMCrUXU3vrxkkhmPPaPeVtUa0j25Shd8SAqxs+BJqrkwFLgFT0tjhSojz8GtW49+Nf/2/59vvgC9CypiBMffwxuJink9EU5dG06oNjnmcVNGN7RiJU1YXSO07DxFBJy63jIR4rP/DCCTfj73fMtMqPyYCCoOGlLuT4YyZDGkzFDjkxdq1mwYZ31NCSnkMq1QXHdjp99qD6dxeBeZMLfMscDd3Uco2/JA0VR4GLywc26OQ44AGeAhS2F4tIUZGHQUAray/g0SdTvdrTdgOr6BGXw5qHZOLv7wXekPtYQBAHbm4gxxgAwAbj9lDw8uagJOVskQ1V3IIbQSDOWVIawvp68KzY9jRMKGWwyzYMudwGAoYrj987TY3tTFFFOwHKVIvPPN0vOxs+7A7J1eWYGj4zJz9j8zd5K070k9ZIXgHh8HwQhCo/3SZyQ1R+97BoYDVdk3BcAeL5F4RAAgNk8BSbjOWhqJlSHOIahPEuHxgCLSHBHxuON67QAS2qJYth7a1uXGA4l1KvMuRqcMjUfTU1T4Q15wehfABdV/mZPaBIs1BUoPfECVK6RX+Nd83048dIceOvlToMWwO1eI5a+24RRN+WBYmKgElztrglZ3oJyebbIHbeA7rQdhjAQauwNg51BJJFViQe6Zvw9PYuvhN8fQyS6GACQnzcDzqaLEQx+CYv5Etm2GssO6LLWAEWz8M/cx1q9TjE+BgoUtLQWPB9Gi4tw3wvySSY+Gl0LQZBfD7f7YWRlPQe3hxh5ZvOkzMePS/ezxTVVPG4qTi03wxPmMOUEO4xpY+K/h+cgyv016Jc7AuS3WjVWaGgNTs4+GYtaFqGPtQ/OKTgHz+95XrFPdfk5yN77g+rx9gT3wKF1IFd3bGTPL+lnx1dbvLJsRl4a7e2ifnY8vagJ+10x5JqOjAnJCwJcIQ65h6i4Fojx2OqMoktnqVcVAwYclM6Rs0l6Vi2UNFYudy3HWQVEtpjlWZjLX5XtxyauSbJQnaJ4gEp7LgWl6tl92+/Dc72fwy+7fbDbXKB4EzpZpJquiu8+g7+OzJEamsLGlAgRLwgKQYU4L4mwbKQpaFUiSrmlnTDysqsVy48X/J3x+JNhbSAyb5UnT8PWycvg7nQ2Zvf/EJfEHhbVK0zaxINFMaLTAQCuLufD12GM4pi+QNvqN5saInhyURO+2iI5Pj8kOPapTcG6zr8W3X77Z7vTqjQbgQAaAi29gNowoUBoIy0Ktaujjvp60HN/BFWfqMHYug2IScYDNWs2mMkXgn7qadlu1HffQYEaEsX9eLlUz7EzjRqyMhGNviCoxz/COjT0lhtdQcEIPuHahePEIDmkqIVKVORR9irxsycQguPAz+L3E6Pv4Mbmi8QmSw3b5VmOwPwQFr3hRKCZhbuaRG+cFYnGbEHl4J3DUXjwR6JEtr4ujAjL4+rZtTLNdwBtNgRrC4sOBNve6DhAMCXifTcM+Bk2lFA0HoABvEoAa3OjdP2/uLAEm0x3AQAoWj0a/p9TDk3BBiCyr+VZOuRkMBJ65xHvWI2OI6m6CHC574Dbcz8AYHDBJgwvWocBjgfa/P88r1S0s5gvAU1bYbeR4xXlkPdkeIkJu9yZgxyFZqdi2U6XZKwLQgyNzolodE5EoMUPigaMNmI48UI1BMEHe5lSNYrRkWc+EPwMNEOB0sjfj6CLvAOxoPx5LmWlKXTJO01wNl2EaHS9bJtsw7Pi5y3NvSGAxs7CvsjuTX5n8vwAoHrJVRl/OxezQMvfhmz7F8jN+QhIkWrm0rJKuqw14udPmx/LeEwAuHHTjbh96+0AgKZmuQMjCAI83ifh9b0kWx5nK+BsOk/87g98qnpslq1HJLIw7ZjKjHqWkcE1g7MUTgcAjO1qOSI1KkcbUV76XbeWE+ctObZToDDQPlBcb2GkrE5NZ6mZZypCXAgP73wYt265VXX90cCFfWy4or8Dp3WWzi81Av/1RSXom0+eu6oMGd5DwTdbfbhqdq2Ctuhjfdjh34F3D7wrFoynwh1349J1l+L6LZfBWPI/NHBbxXXDs9uutWlx3SJ+ntPwDTzeaQhHN+KKDVeA1smDwhFOAFIdGSqu6Ig+9/Iyxf+oidTgsvWX4VP/v/B67X/wet19im0OBtoUZ+NwVSApisKECRNw8skn48MPPzysYx0M/s54/ImguCg6rCM0gUBBQs2FYtCoKwHQjH4FemxpjGJ4SWZlHDUDNBTM3NjKE+FQ0RzFjAQdo86vrvqytDIoawZW7Y2jczsK2mguSro8tzO1X3HWt+j62+Vg0rt6Hwk0NYG59d/iV2Yy0dTmR46EcPttQHU16C++AABQGzfKdqVUXmjm9jvAzfwGI7YtVqzrnKVVlSFsyRmFQrwvfg/AiLncSRhA70PX3BJs+8mL5n1RDPtnDgy2g6vzaOp0Lp7YVYr1fDdMHdMZ9oo4xjVMwzz9/bDUrkRNdQGKTBowKYPj8uoQTi1X0vSSqFgmZSN2/u5HQU8jts3zKba7xm8ADwHLPm7G80wQp3UlxwzGeHgjnFhHkEkC9tRyM8Z2teDpRU0yrurYrhb8mtKp+q+i3OEOczAA+B2SgdR7YRi9oVOJuUGs3WoPAs5GOLdvAoTurb5Xk/vYMHOb8l5N6t260aZlKPTN18voWgCJti2tJI6fjlF3iATh4N/bpLMBAAbDSTAY5BHwywZdh0rPmTAJH8FIb1Hsf+1ALWrdP2NUh5V4aNmDEFJytIEUAzjoXw6tcTA8vqcRi0mGuKXDJrh2nSk7JmMghbMUZUc8XoHO457F3rny6HQ0wCEekY8LuZxK5sT7OBY3TEM2spHf41ew7G5xXYfc+wB4MbLMAl0kgs4jLMjvpsfKj5XOWTqa9kSxe6Ef9mItBkzKka2b3/hthr3aRoSPIMIrOzs3t9wiUubaQij0LayWf8qWxWJb4PY8pNiW571gmIPr/XG8QxCiqGm8CEio2Nm1hA5VbioHAIwvGA8AuL/r/fi+4XtcWXIl7t9B3oMmIYrKQfeiPmJGKskswrXSbfsoQa+hcXE/JZVr1pRS0JRUm+Mw0PjfBg8m9rK1WpCexNKWpVjnXYfbOqsLS6xMSFN7IzwKExdhT3APHt4pFd+PyB4BTuBQbCjG782/4+Lii/FT409ICsxqLBWyY15Xeh0G2AbgzQNvipQ3tSDfMx1CeLDWBA8bxiMHNuDSnK2KbQAO9//aCI1dCiro8+bLtsjSEhrnU6fn4w/3JKwOq1MQBSoGioqjwKJBY4BFj/OkrHGeSQNHitpYLBaDTqe0u5wBVqS6dc3WHXL90/z581FcXAyn04kJEyagR48eGDlyZNs7Hib+znj8iegz+zTxs8DoEOcEuMMcpi0hRbz/Hp6Dawdl4aYh7ZNa3DD6IwBASc3cjNtcPrMGTy5swq6WGPpQB8Ak+IquNBneaUuaUemRjI2gt7ld52BuWgeGkxsje099V3XbrZOXIW4uROWIF9HS+XxUjPtadbtDBf30M6rLqa2JgaXuEBXATGRy4Ys7IJ8h1+2aQeq67iGDnJcdgAEfcGdj+8Rf4VyoE/niqz5twf5VAQiCAF9DvF1ZkMYT74Ot71nQOorRsygLNj2DJoFMGs2V+VjnvwCrAxfjj5iUZXptRQvO+0LqEv+FRR59DFRLzpPBllAIyRBVoUGBDfAwCxR+2ytlJt5cRQrboyyPV5arG1TDS4zoV2DAVyl9EkrtWtw6LBtTh2WLUbXe+a3Xshxr8IKAer/SwdzUEMGIDHEcJu3y2WZ5kMwHGrWULFptZsyI8TGs90oT3LJ3X8G+JQvwUJ40sRZbNZh7eRn+e04RrhmUhc8u6IirBsqfwfN6WXHfqFyM7do2VS3fsBBnls0Vu4ADwLtrXHgjcS+LTOqF5+Jvst0BhumQcT1NO5Cb8x4s5suh17ceiTTrteiZWw67Vk4vsdnuAACcXLwWF3afg0KzEx+MvR2lVqn+JBSWKCvxQB4EyiNzOgDAmLsb6eg4gvRbEQQvXO57weiUjuHKj1vAptW05Kb0/0jyvAHAvtwCDSgIfOoUS6NXvgNzLitFrzwDKAooGWiC3sKguJ9S4anzCAtyOuvQZRSxxHYvJEEBb53y+ftf7WzFssOFmtNB0znQaQeobu8PfAyP5xm4PU8AgKrTAQC8cGj9aATh2Bvi7UFFoAKXrr8KzzRI91BLkTfcprXhy8Ffor+dqJb1t/fHIz0eQZmpDG/0I2IwL+19CRf7foDT2ll23Lggv8/vV76PGbUzVCP/Rxs6hpI5GF0SQcgF+4Jocd0Ot+fxjPvG+BjePPAmVrpXYplLWUewzxXD7kTQ4655DRg/vRI3/1CHhoh8zHl699OYtmcaXt77MuY0zEFNpAZzGzPbOgbGgJE5I/HFoM9xYxnJqLJcpWI7U8or2sTS2BlWzne6vN+gsWwDePXga8w1Avd3I47kgCIjbu81GZH6zPRDWhOEUUOj2KqFnomBAhFUaI32mopwCpOgxsceshJkcTHpv5Sfn48JEyZg7dq1bexxZPC343EcwFNCGtpcNKMKV3wrDfZWPYPze9varAPYN+Zt7DntAxjMxOgcGFzS6vYAMIjahR/1D+KVpusAgcdTi5RSeff+2iB+Pm39zYr+FGowepSTejinr0LPOtXJCOUNQP2guxG3ZDZcDgVUjXq0jvKQFCo9Q705I/X7fNXlAMmaDP3pc3AUDXTtjCzE8Z9T8mTSkMaUMYDnKFlENiQYAFCIckZZ0TYAVK0Jwbkrig0z3Wja074C/yknOPDG+GJoGQoX9bWB0ZHzCPPkWVgfnIztrrtBp9y65Pnt03CoZTIPWAJNYfFbTlEdaP8ILfZrlPF7U9oh+EQEyqlC0UoixygZ6dPGFuCaQQ68NaEYFEVhXDcrpo0tRHmWFl6VHhRHGzXeOO75pQGrVBrE3fVzA67/vg770rIDgiDg8VZ6dqSCDgkYknBSbh6ajeaY5NQHuSAe2P4AXtjzAla7V8v2Y/dvEz8/nGhk1zlLh0m9baImf2ojv8v7OzCqLHN2KxWX9fwS53b5RdZV+sddkvF9dd8vFPtotFItitEwBrk5b6Eg/3vYbHfAaByH3JwPxPVabS8wTAHM5gtbjc7xnIDVn7VgydtN2PzlpeLy/LzZ0DCJMSQupwSYteqGbLi5G+KBAsVytX+vs8opXFRKg0NLnvSsVq2V/6/shGPRRPMQeC3cu0+FIAB6ljjM8ZCUmdBp+wJQb4LXcYDy2ckq0aLv2Q7YizN3y2YYeePGa3Ki6KRTvncNkQbFMgBgU3pHNLVj3sjOehFZWepGZig0G9HYKsRi6xBOo1cBgN1O6kF8vv+i0TkRPl/m5prp4LhGOJsuRij8a7v3OVjUR+px77Z74Ymrq9NlwmMVjwEAQglO5c1lV7crAp2MkAPkvf+P8z8ypyLGS2PMJu8mLGhegO8avsPULVMP6vyOBm4dTp7rlhALlt2PWGw9YrHNaHRORCj0s2zbrX4pg7DJu0lxrBlblQyNKm8cLy9Tvw9VYRI4C7CZs8YnmVlEIisgCCw83qfEug63mzjDJtP5Gfd1skp7S5+7EMaSz0Ax6hneG8uvRKlRsnEoisIFZSMR9w6EwCl7dwgQwApxmLRxFJkb0cnuR66JQWqfotaQWlsTYfmMwiatIRgMwu/3i5/nz5+P3r17t7HXkcHfjsefhNJl94qfXZ3Px4O/NSCeYmNN6WeHpZ265aHcExDJ7gXeoB5190U5jJ9eic83edCZqkM/ah+makgNQxbvwo51C7GrRUmlsEOKYhcITbDVZVBKSqIV9Roh7VGLm9vX6fhIgD9FXVmEqpIrrFDffAMcOADqdzkHnJshV+ACgFpzLqidO0E1N+OkAjII3D+KRGjzU+gXIRcLgAIXo7C//C60gDgEjRXq0TtPbUIVzH3wFKNShw7vX0BS+2xakdt5QR1Gh8l5TvUR56QzywAUwBYpKV6bdCyiHk7W7XnmNh8WG5QD3MSgPAq0sjqMpxY6RXlAALhxSBb6Fxpw/YlZGNLBKGuO1zffQFRE0qBjKKypDR9zZas7fq7HjqYonlzUJMrGAqR4PhmZm73KJXPE47wAATzCtvZ1qtUAeHRMHk4tt6AlRrJCDm2iKWSUZOIaosRYzOtG6rpyOnfDiI7kWhdZ1bMrxVbpvre3qV8q+lpvAgDsbJIc3z45O1BilWcHl9YOg5CIHjKMvLGb0TAGNuu/QNPSPaWp9nH0m/dFZfK1VsttyM+bBYqiodV2zrgfTcvHPoFvnbZYfuaj6DZRTvugKGPKZyC3zxyUjJyNXmcqz33oFcTwKky869U68lw0brgUEZd0nnl9pVoxu/1BfN/wPbb7tyuOp7fQ0Ftp9DjdihE35KLvBDssueRe6ozK+5h8Jxx20qw1JxFA6GPkcIJR6awvalGO3S0HoqjbLxl9/975FgIcEOCImIAaGEaefbfZ7oBWo5T59fmU3eiTtDyW3QsACEfa70TE4ySg5fe/2ep4sNG7ETv9O9s83hr3GjRF5cG2O7fdiepItcLhz4RZ9bMwZd0UxXI69Ha79qdVJOOfqbgXkQih8qY6HtP2SNLsrTUoPFbINWlg1FDY0xLG2iCDHWEabg+hRfkD78i2ZSC9i1pa6UT7M6hj6Tso+28AAJ9gaTy568mM5zcpKwavbxoikT8Qi60DQN4ZQSCGtk57AkxGSbynLMVZ35Bgf9zV5S5c2uFSpMJQRN7nQfZB4jKbxqaaVR7bOQ+RuovBx3IU6wAgyPkgCMk6Tw9Ydh9Ydn/G35SKI9HTxul04owzzsCwYcMwevRojBs3DmPHjm17xyOAvx2PPwEdVz8OWz1JOUZs5fBm98fmRnmEu2/BwVNMMkmsJus5vtzixQL93fhB/xBOY6SahgsPPIyLGdKwj6YkA9oCuXdv8OyGLlADa516ZIyJkv/jQg5+efJ+bJolddPmtWmR16OlyS4IoO+4U6znAABh6i3gR4+Wn2vK+iToGV+DufseUHvIxBjPzse2i19EJATwZ58l2zai0QGaxCDaQgzHkWVmfHZBR9x3skQRqdkYRjirByoX5CLy7Je4fXg2bh6anTGw4asnhn0melNbYBgNWIGGjpbfuy4sg2FRLTQph51njOGaQQ7QKkmF5gyZEGc6bwiATaAVdKKVNWE0JXo/3HlyDib0sOHpMwowsacNj57aPn53RTOZeHc0tZ39mbnNixeXSn1GllYGD7kZplRQDRmt6tEFJCreCTSebNEjvEZyzFkeOHDyw6ga/gRCjl2oGfQSombJWI9AwDuQnE27xodeCecrxJEoeplRXpiYNEw4lpxD1eplGLTkNXx0XodWedXje1hx/YnqQYi2oKUDiMf3Yc5OSUDhzsFKQ+rT7ZfAmnBSTMbxmY4mfqKZ9qnypPeVWfNRX1BU27VPWm1f0HQevJXDULfqGmg5Etixd5bqsRz2R8RzNueYwOjl2Yv07EFe399h67geJocG1nzJ0SvqY4DOKL/+nSBlDrgYyV6YCrZDb5euI00b8VXtV6oGE81QGH5lLgp7GaHR0cgpk8ZyrYrjkVSaY5h8RHighaNhpgUwFDDGGsc/ckdiSvEUnG4lhsR3Dd8hEN2NRudExGKbIfACts71Yv9PHCBIv+WhOhMeqjNhrldpIOZkpxqUiS7Lmk5wONQpVemgoJyfQqGfwbL1KlvL4fW9IH6Ox7cp1sf4GFa4VuC5Pc/h8V2PK5yKVLhiLry872UxUwFAlmlIvo/p2BPcI67jBR7f1H2jul2xjm+3hPRFxRfJvm8L1mJjE3Ha/Gxm9b9U56s6XI13DryjEBg42gizAja5dmO6S493mw1IGTYRja5FKMajOcjKHKXUAvzU4yjR/rE70jAR/h3TMDn3BnFZUo/H539L2i4lC6fTDQSjkQImV+fE0NMgv37lpnKcnH2y6v+8u8vdmFQ0CRcUXYA7O9+uuo0lwVThIvLAzCkWMp77WB+S0rwEAg7md3fOkgJ+5kNQxywvL8eqVauwatUqrFu3Dvfdd3hF7weDvx2PY4gP1rmw6A0nNmyRVFs4rRX73MpsQ6qu+eGiqRXKSxLPaUkB9KTeNrFr7GB6l2yb/B0fo9svl6Js+f2wNKwCANhq/kCPueeC4mLQJJrWrbOQNGbDtk2IhYhxVj3scTT1uAK7x36O7ROPQrqcZUHNng3s2QOqOk0rnqIgnE7qaQR9+xw6ltGj+YZH0dhoxJ5FfkAvT5dmO0zgL7lE/N9JZBkZIEX5xmijUTnyRUQ9ZCI/owA4u7tV7B2QjoiXHMtVGUP8EGlGGopHmFPXer/cL/3+Wg0Pm56BWcWwCWWyaykSnQUANmWQzOOUOyRrlbrnHF6dRltXgRcEfLzBg4UJBaxlVSFMW9KM2TuUhdZtIT2a+vpKF37Y6cP46ZWiiostQZ0r2hUXsx4lm72IWUitQfXQZxDM3YIDIx5EPHGNbkEQ0xHDbJB3/T62ENb5xJH5o5k4/TaNPLIeTtRKsRHJYWFpHlkqEe1U3DQkGxN7yo8lCAJaXHchHM5MI0zC5b4DV/Yg2YBRJeopfE5goNcPQkH+9zCZzlLdhqIoaBP0Ik1aViQTajcrqQypTjhFqder8HwTcnPeR/2q6+CrPAm0QCKStlIyTlnMV0CvHwyjYRwslmtgt90Ni+UaFA9/D+XjiOFs0MuLKmk6G7xA3lNaIz3fRX2MoLXy570iX8p01Swh146PS2OGXj8GT+16Svx+MIXDNEPBlE3G5OwyYmx4EnUeFKXDjjjJsAR5CtlZL4CmgCkF/TDIeQa6/XoOLFHihK50vg4AiEZXY/XPEg21xNMTN614DQX+TuKyBX4tnm8wwGF/BEbjWTAazoRGIzWto2niXNGUETRtR0726xnP32a7C9lZr0KvHw6zSW5o+wPvwOVWN9wyIRbboFj2fcP3+O9+SS49wKmPry2xFtyyhSgZueIucfnCloXi5xl1SgpujI/h4Z0P44U9xAGaWTcz4/mZaMDZdEnG9ak4v0hJ+fkhMVe05nikGvBv7H8Di1oWoSbcPiGAIwltJykoURWT5hGP90ncNW8fvtnyGt6tlGo81Wo8PBEOA4vS6EiJwBkXKZKpgakhSWVy6NRopdJY6fMTeVyGKSQy8axUG5Zr6IQ7SuXNfQ20QUaHS2KInYxpFxZfiHG2GBzh+1V72RgTY0RfoSPOtsWQzfB4oWMIp9kke4EXDl21MbXf06HKEP9Z+NvxOIb4cTsxhLaHpXRWzdCHcdc8Jf+2zJGZ19saPmCJEdDs9qDWF8eyqiCWV4eQCy9KqcwFom7Bgq8vLsGVAxyw6RlkwYf/6pQc3GRPjoItJJJQuPkNaCMt0AbrgUaiQFNdKXHWPTWEjhE3F6Gx302I2jopsx9HApu3gP78C9BvvqW+vk8fcDO/gXCuvDcKf/nlik0j+iwsHvUydhClY7QciAFpyhK5B3YB+kSfksUkqirwArb+6MH+5WQw0UdciG/bDf6PVdKO9fLoXs/KmRiw6XX02kkaEvIJnnCgicXyD5rhqjr4Zo679H2xN6oeqclLKXaNUAL6FRgwaKwdtJ7CwIsI1ae2AOAyRF7eGl+E4Vfl4pSp+Si6yI6GRGbkuVMLMPfyMozrpmz+Zc3QP6ItXDWQnE9bQaBbf5SuqSAIYlO7jzd44I1w4A+CqhVKawRX5Y3j3bR+EeUpwyYVExDxsDjFph61rTp3B0bChwo6DNpQjddSsx4uMmEmMxtJJZwkZtXPQrOrFr56yaCYPq4a16+6Grvmy3nUbSEc+Q0suwc+/38VcqZChmLV00sX4br+82TLPt1+MZ5fcyvuGdG+DIZOSzjDGk2nNrf11MTEfhapiPilZQa99Fzn582EVtMDAEBRJhmv3t+QaLyakMU1mSYmtqNgNk2ERlMEnvfCVroGelsjdLoh0GjkdWg07RDpQR37SzUYWiMNlpW6qQ+4wIopJ8WgMcqfk23GSnzSrIOf6g+f9gJs80uRejXqU2vofBJ5rwp7kWcm2RwRAD5xkvnj2sJuYoE/z7uxdwkxvi9f/xi0nB6BeE3iGhgR2S8FA7o3nwgAKG/pL/ufdXEaOt0g2Kw3wWa7WbbOav0XaDpPpLhpNKXQ6ZRF52bTRTAaRkOrLQdFUTCZJii2Odii8WBoJjjOJVtGoscp3+PqQYdV7lWqy9+vfF91eRJJJ2BngNC4kt2wkxhticNACTjLlgwixhCLqakjtY3kEBTkyDySmgkMBuDYAAAgAElEQVTNSgQnasNSLWWykL0mcmwdjw52uSDNxhCDVO0FbfELWKxVFiuzvHy/UIxHvi2CEwZ8hhM6kN9Ma8m7FGsZg3u7SrR0Pq6kPQo8oUjaVB0PJTiOvC9G4zjQlB12+4PIznoFNuuNoFLqMY2MUZUOh/hGhCO/QRAEBEPESQ0EP1FslhyPbu7/GcbaWTxSHIGWAgps/0o59/arG6pBx1BgKAo65igxSI4S/nY8jiGuCksPmd/RO6HqJKX3nzpdoqC0R6JODfkUKciq/eVl3DinDs8uJk7AWsO/sFh/R8b9THotTFoaFEUhx8Rgg+Emcd2n9HmK7ZPOA6cjEUh9oBrdtrwIAHA7JSWjDTM+haemSrH/kQYVJinw9IJy7n8fyb4Lky+Q1n09A8J5E8G9+gr4M6Roh8/WSXH8UHk/5T/tkTB6DlTC74xjyTtNaNkvZa8swVoEBAfoD6QiW+bB/0DYQdSJSoeYUOTfgmz3ThQ2qE+IW+ZklkbOhM8iD7e5zTYtixAN5JsZaHQ0Rl2fB1u+DiNvysN5E3MwvEwytL43RfG2jRhgpQ7JAeueq8dXligECvDWEkPvlqFKBbZD5aP2yU8YWaqpeIJwnEelR4rKh1lBRrG6bGYNvtjsxTdbve3qKRJM1KW0Jjl8D6RagOZ9EVhWhZSNpBJgI8+je44W5s4vwlz+JlhKnt1c2bAcNGh0NHTEKTmnQE/rcX6hFAXdvl1qiOUzkd8Z1fN4zP4pdrqVlJNM8PulIALHyWkomSRxL+35LbSMFEmj6XxcOuhCPDvudJzSyvVJhdl8CXKy34RG03ZNV2rdU68zbehzFnHEAs0s1s1wIRbmYbVeD4fjCRTkfw+K0iI7+3lkZ70Au+1e2bH2r0waMFE4HI+DopSBHKNBUhXkOSd0usGwWm6ExXINAECr7QaAgz/wKXK7SIZ6mH0HLvfd4vcgey2yDLXoOkF+DksL52NDWIPna+tQH5U7pgZaWXDaGnLK9Tjp2lzklJPz2LskoOiW3iPrWlAUeT/j0b2ydSWeXggnG8pQGvApIs8ajhxTxykzk6nF57Lz1w9DXu4H4v8DALvtHjBMCWxWqfjZaBwn2y+1juZwIAhhRKPr4PY8AUEQsCsgz84nayLmN83HnuAetUMAIJknb1w5xibrrpJIdWw4gROzkUnEBArTOoZxZooxHokub/U3sGwlQqEfcU7+2bLl1XEGU9ZNwYKmBQCAwY7B4rorCzoBABq9H4vL8vXEbqiLHKJK4yEipzOpweiuJ8/S4oAW99WaUBWlwWh6o4mSrpmDLsSEAuJ0XrHhCjGzzPECQnEBQc0O7I9uQ3aHhdDY18HcmWTQBNYCf5RDzE06jIf2S/L4IngGk/vYUGJWr6XIBI2mGHl5n8KgHyY6Ce/0vhUPF4XxyQmPqTsdIHGweHwborL7q652dXpn+TiZn/cdrMbhrRreHOeEIGQuFue4FnA8sfPKHLp2tTk43vC343EM4YhJjsV7K3IQcsujNmW0Dw/Ff8LXE9snn6sGdykZ6M2UNDCWUeqKJpGUbuSpSivpRallJynrIUI5xBBPqljlb5YyDWwaJzvYomz6dcQRkvNy+YsvAvfmG4A1jZrBMOCeehL81KkAnfidHTtCuOkmcI89irjGiK19rlMcPljUCeec+5x0/HMnABYLhE5lgEaDhh0RWSG2Jh5ES04/xHQ21BYTCkecplGdbYVvBXE8NJEAhKTzAgFWf/sdNJ4TwKkY5DwnoLCx7YHISwvokavU/2Y0FEw6BheOycYmHYtvzFE0WIHPLy/FrCnyiLCGpjD7ijLojLQoM5p+vDfGFx2yE21I0FsaAurGDwA0pq1bUxNWZCi+2uLFJxs9uOCrNAqeCkKJniLDOhqRbWRAAbgTBnRNDJVXDnAglC893+F1QViaOFQPIYaONq5sIKVjeNBaEjFNV0X5Ye9sVIWroKf16GjsiI8HfoyLOlyEUdmjAAC/uCShg81dJQNJoIBPl74MLh5D2CMfR9KRntFgEzKpLFsPlq0GxxGj2GS+WbFvkpdvMk5EluMJdLBpDyq6RlEMNJr20aySReW9xtqQ380AjYH8n+0/+xBoYlG3OQSK0kKvk0fmtdruoGl1g9buuA56lUg8AGg0HUHTpDGjzfbvRET+bJhNE1GQ/z1oimQZQiHSI6P3OBvKRs9CLC6nijL6IKLRFeAFyXB3GesR1pF77ueCeHWfvAuyhj54aoTOSINOufZL35U7kB2MJUi25gr65U0Mh1WOB5dQ+PI4F4EGAy7R36fQTwQp7JE8aDk9rlzztJj9SJd0bQ00bUFuzhswGv+B/LzvkJf7CRhGbgxSlBYs0x23V5uwLiifJ+Lxfe0WkhCECLy+lxCLrQPPNyNfp6wb2x/ajw+qPpD1gljSIq9PDHJBzKpX0mS+rP1S9j2V9rTWsxZdjPI5OnnWubmfQK8jam8M3XpWsMV1J/yB93BphwvwakkIDxfJx4bqCBmvUruW8wkD9xNnDfyBzxCL7cAK9woAJEOaWpB+NCEIMeyPkOxP17TaiJedBqzwyntquNlmdLN0E7+fO4OoW+1qiUEAoNOQZ9Gu18JYLNXOCKwVmxoiiDZcAP+OZyFwFgR2PYzALumecuEyjCk3o9BQiOEWC24oKITddq+seLy9MGqLkKMREI1ITsVlHS8DANzX9T70s5RigiOOWGwjvD6pz4/BoM4wuONk+TNAURQoSgrqBVS6y/K8DyyrlP1Nvhs87wbPpSghssHjQnDgYPC343GMEHIrjSdfM5k4umTrMKSDEVVL58NbU4nGLesV27YXA4efjh18KWyQDPFJzBKEW7Ro3ianwRi8UlRMG3WBiao/vNqsjngwfq1sWV7FdFkXcmOAvCiz4idDk1bktnXOTPBsZuPxiMAvT1kKF14IFCilNAEAPXtCGKOidNW3L4JPEwNB4P2Ih5eA57yIh5dh79JfwNMMfi9JRJ86JvpP6HRANAomjfNdfuAnkZZW0X0KgqZCbOzSD1tK8rG6kUwo0XlLQC+TOK80Tyb5jjV/QJ9yL1ZPbwGf5mQcWBXE0neaFEXoqcZI91OtGHZlDkbfnIcRN8gHwCgFjOmUOWpNMxR2FgEHtDx8UR4MnTmdq9FRqN8WQThB/5jYkzh7b5xThE6OQ4/GJLuzvrPGhfHTKxHnlEbJqhr5ZP3Cstb7zby5qvVGbYFExsOso/HBeR2QBwqToMM0mPD1OcWY1COKhu73YX05aXq3HRwqu0tSs7YCZYGeKyyd43UnhXF2z1vwSAnJQOTHs9EQbRBpVgIv4MCqAMZnEWqQLi4N0Vk++bWkBAq/T3sEi19/Hjwnf78MG0JgnEnFFLlT7vU+C5//PbS4bkKLayoCwYRqG1+N2/54WrZtKExUXKzWa2Qc/6MBS54GFA3kdyfZAE0aRa9yTQjhloOj5ZisJ7a63uF4CFbrzdBquyrWpUcd87oaYO0oRc87/eMJdPoH6VnB8y3QMBbM6PY7VpbOwdf9p0ENHw4gUsD1kbYLqtuDylAlNJQGvSy9QFO06PhzUXnAxR7NQ8nSx1Ax67/Y++NjZBuKhV/nhpEl80IHX3dcu/p5GFkLRu8jwaZlrmWHpCpHURRo2qG67pla8jz+5pOyUNHoGrjcdyAcmafYPuk4azRSoIzn3UiaL4IQUm2A+OCOB8XPl627DFPWTREzF6fmnAoA+KnxJ/zaRBzJAbYBeL1fog6Gj4q1V4IQx/IUatyHVR/CHdmCjloe9xeSd/vUwtuQm/MBGNoBm21q4hq0RZcm72cg+DkAIEtFuAMArBrpXpoSHc99PI1QaCbcnvthSclKPlHxRBv/88ggzErj6Elm5dz+hUuePcuL9IQxJdtLaX0IxXjc8wsJiq6JEkcvnYLIx7PFWkFrou5V4MwQODOYpHiFoBMVQC/PM2OgJRcGwwjoEgEKq+VG2Ky3IjcnKcOdueYw6SyGwt9BEGLguEaMLxhPerHY+uO67FrYGQE8n9bVPLIQkYiyfoW8O+S8dTpiO1CUFhqajOUxXhK1CPFAXZxSMItjfAz7gvsQiu+FIEjXMB7fC45rRIgLZaQWHq/42/E4Rthcna5JrcHTCxrB8QL2umIwaCjEQsR4Plj+dipoisJeoQhlKfUcPt6EA7/loWmLDQIPBPJIsVYou69s326/kg6aGn+NqIzb3O0S2AwafMHJC6/UEONpfOwjA3ooXz6RL3jx8aMqi5rsQH644PRkYI8H54GLrEHM9yG4yCp4dpEIyPohY9FcciI8HRNRV50eiMUQSTOIjJFm9NktdVFeNfRhtNiJI8Sz1RAEAdq43CBkGWJwmUJOjFjxEEpOIINT2MOhdktaNGw92ZdNqNts/cmDnb/5ZFmX/O4GGKwMKJqCRkej3wSphuBUhwHn9Gi9sdyLZxYCALrntO48JJ2iDTPd8NbHcWVvB+ZeXoZOWYeXAs41yyOi83Yriy1/2+TFPTCgvVIMP+8OIBzPTLlKZjxMWho6hoKR4rH/5AegL/0dhfNa0Oy+HnFTHczdZiMIARdBj0gnKQLOMIXiZ6OBdMc+s4cUvfqq+VUIlIBdBrKsIE4iwtk6EkF1VcVQuSYEz2py7YwxGgKA/pMuxZre8sAAlfI6rf7kXewP7cc1G67BruadMGyLwvoruV5CooDRZr0VFEWczXD4R3Ffne4E8ptNEzHtzO54eZ3EQW4XOAHWH7ygffKAAxXhwTS1L+BAhXnUbgpD4AHHdDcsv/hE0bhUrP7SB6xWlztVU4LTtEHz02o6wWQ8U3WdAMnxaG75FzzeabIu5IasahiypCwaz7fAnfsDNnaYD2RICpkYE+waO+oiddga2Yq3D7zd6rjICqzCqOjQX8ruPLjtQbACCzMjDyKwUfV3W2ClfWf2fx5uo3o23MhaAQH4qOojvHngTbhirWfVkufqjDrbHOeTRd1sSsPNcKI/BxtXylEna0AM+pGw20mTNo9XUgbjhUirPR0ASYLVFXfhBNsJmFw8GYDUEwIA7ut2H3J1ucjV5WKtZy3eq3yPUJ5q7sUilxQB97N+bI8wMNICCrUCMUodI8EwJHtGUYbEeUtGoiDwoiPL8z40Oiem/HbSBI+mgDtK5XKmvS29ZY5HofCT+NnDkocsm5FqtvaG5BS7o4VASoTdygCCWz3iDwA35UXwn+6rwQYkuqfGtBdralPmtARVNVWZ66XeLwGC9Iy8MPpx3DpIGre6BZ5GYA+hNyYdD4EPi3Q+vf5EZGe9SMQRjGeAYXKRm/Me8nIl6nM6kuMjADS33ITmlhtEhTKW3SPK8QKARtNNtm80RsYljpOuDdmeg8VyDbIcj4jLLRpiZ0QFABQDhslFC0uDEyikx9eSzrKHo8ALYdExaWGBIOtvVYTgeMXfjscxgDZYj/O2yTXjDVn/xuR4T7z0YR0gAPvdMbgOtK8HQGtgY1G4IwZ0oeuhTyjo3Lhjjrg+HmRE2d3mbheivv9tCOSTqCATJc6R5sEHsPObIlTVD0ODmRSrjyprvTmaIAAf7B2GU5yk0Lqx44k47Z7HxPVcPA42os4lP17QuHMr1nz2NAQhnrHoq1NxJ6zJN2HljOfRvHcXoNMhUulEUyUZOIv3f4yuW55EbstWGEvkdAo+vjfl8y7kOxP64onuocFEA0UqMUlqGGkQ3rdM/XySPO+WfTE5R36sTZGFyU6R6Oze26TayCwVJh2NTyZ1wLP/yJA5Sv6WhB0fD/HY+K0bKz5qX5f7tpBO+Xt3rRuxtFH5eZgwETr8b2iebPmk3pn7Rry2InPWI1njkZzI/n3iz4hZ6uHs+QXCDjl9IP2NyHI8CYpiYLffD7v9QZH/PjL7dfzDJo+ee5kAIlQM+XHicCQVaXYtSFCyYhpQPNB/jwMUgMI+JyjO1Rgl7pbbEkOMjeLBHQ8izIcxvfoz2XY8TxwPirZAbcgPBEgkkKYd6OTQ4YZhp2FV87MZrxEv8Hh176tisbT5jwAYLw/bHLmBbJ/phfUXP8AL0NTHYfvGA+2BGJhGJX3H/q2cZ69p4mBwqavx0b/+rljmrolh9XT5faVTvFEqykO/OdyuJqjiPin1CBxXh2h0hWy9w/4YGuMU3AkD0K29QnGMab2UmQ8v68UK9wp84v0Ei1sWw8tmruO6Yv0VuHHzjQiwASxuWQxBENBlpJS5HlB3BiiBQpEhVXEqB1yEGKvFw99TPe6S8m/AmloQ0GemaBQEOgEgWY9bttzSZg3BQzsewm1bb8PPzvYFzppZHiYTaeyWNNpSnb0keJ5kcWkmBzptH3F50giMRTfBGXOKRdZn5qk7kkls9m1Gti4bXUxdREP34uKLxfXpSkYfONWdMwMtwGZVU+TSJn6TpL7l878OZ9NkRKMb4HJnli09wdYTj3eWlL+uKr1KNFLTUR8nz11V7PAUMD1xD35vUr5TPv+7aHROVGT+BEFAiCPXfmRCGjbceDbCtUolr54GDj0NPCgKsDOSgpM+/1d8uonYG5RWfb4oNsrrwrR0Ewbk/iJ+L7VaICTGT30iGy8IYdHxA0idVir9l2EKQNOZ5waK+n/snXeUG+XZ9n8zoy6ttvd17w03MMbYppcAoQaS0GLeQAKkvEAa6QVCEkoCCeDQgikJhA4JxXSDjQtuuPftvWrVpSnfH49Wo5G0tnHKl/ecXOf4HO9oRpr2PM9drvu6JRQ5FSDUe1PfKdbVzLouIBWEyFxDZWLx1fT0LkkLCwzJ+SqydX2SU/OwakiE1BiSZAYFh8Jiui7spaHAQ1yXaIz20pKQ6VMlIrpET6rZ4ZFKKQ8MDHDppZcya9YsZs+ezdq1+WtN/9n4r+Pxb4C7bwca+Tm9x8btjI0HsWXZgEeaHdjx6ot0NenENBvjpVYu27mc3p1mxKSjaQyaXUxkshqjd8IlNCy+B83uQ8IANUmyPQZIhFc0o9z8fQD+9ziTq3tF4mbLb+7zzGZTfw1R1bzGTtXB3euDSBlpYDVxcP6p780g3neOzHs3HHaMaWJRMqZMOaLv2PvucnQ1jqEH6FZyh8Y36pfiW3kfRkqGb8Nf/oThdLJ52tXoKZWVA0V9bKvz0nH6yWwpFoZ+IvwGsf57Ld+lqy20+OOsHVsNZWVoz2XwWmeI+pm+ndYs2eYX+tm/0np/hvT8szEku5kNe6r/QPXUwyvyLPXYcB6iEV02DQyGf3+3vDLApucOHT3NhGxAhSqBAX9cZz12bCrXMXadValpfImDv1xs1hZ8c77Jyd6f1XVc0w0a+hOoukHboIjQDzkeRcUm9WOwKmtSljSMjMT4UObA5TwOl/PYtJISwNmF1sX7hLIT6LH3U5YUdJRxjrFEepPpPhZ9DUlurL+czmKx6O1e1ceUzuMs31FfE2bQCxtnFPH0BFNlp1jJoLhoBsaQJKzktUTsrLCnqSHjShx8dsqkYfYTyj5rB9Zy655b2RHcga0nI6uhGdjrExYDXw7r+N4JIccNvCvDFLxldaLtzYn0++LImAcLV+aXmpQ2C4Oue1+M9h1RdM1gy0sDxAbFvaucnMocFptzT+GzAdxbYjj2Hj4H3uu5AKfz+LyflZU9hq6M5Vcdbn7e7mZvTObnB57P2W+UZxRfH3PwTtPXbTl0humaT65hacNSLt14KTE9xoxzxTOuHhzHV9fcTU1wHImIjq4Z6HooTbXyVOzC5sk17I7zR7itNsKxjuFpJ2fuuoby0EgmdovC3nvr7x12X4DGqMjiPdHyBLtDuy29MYaQqWhU66rFbre+Z3qegI+qCqfcpoxAlv04HcdaPu8J/ZmIFuHimov58cQfp7MZw2FBsYjOOxVnuku5RzHDCIW2/FLk2XBK4HKdmLNdShUlJ5Nb01mPWEwUig8EfoamDe/AdW7fz2jvxHRDyFK5GyX6GBJwUoF1DokbUjrrkYlN614nrh2+GuJ1W67jkaZH6IxbVS+jUZFdSSQ2E4t9RCj8DE2hVVy68VK+v0dQkm3AA1u+hGbYUAdnoYasWYDCAZPS7JHh0gJz3Rmqz5s7NrfnyvcnfH/Y8/32AmG/PL/DDHQMORe6Ef2HBQxKS61qnrHYCpIZmTiHPbPGzJzndK2XZEIEY6LR5XR2nZcOVigH6WOkGprFcRgaNZrWCuSfA7OXfa/tyJRCv/Od73DaaaexefNm1q5dy6RJw8/7/0z83xL//T8K3eZBT6UME5KGw7BGKD7b8xF6uzXboSUT2A6yKAyHwXZhFAcSTn756gM4s2orwlsjaF88gaLmty2KWkpSTPi27evzqpdmRp/X6FOZEHuc95w3sUw9g5leH2rYWrS3bUAiGowwMPVyFm9dJq4pEeem19s5cYyXcyfnRh1sXUdYB7J2LVIiSUQpRHnkMWyuw48A9dTHadsSZfJpduLh1KJnJOlzFFOWzBMZz9LdDskwoL2LMdiPbDc7+G7sFIvwuMU72P9BbqdiLf4JBypFZM0otRZgljjE79q6WsE/Ob090JYk0JZED4YZihmEe1VcBVbHoHKSK4cfP4S5XyghER6eanQkcPlkwlnR6Uifhrc0d3rpb/r0xY/z4zaOj9lpsmmoTpk9PXHcdpmSuEEmi7wcie7U22sY4HcqlHsVusMax9R6AOG0tGcVpK9qinD7StM4K3YpFKbeIXf/VKLF4vkN1lo5vBurVaZEBee/N1rBw3t+ybbgNgpthVxWdxmLShflvZ5Tyk7h6lFXU7Syn7pEJX+Ov8bXV51Dq2R1CiJdx/D6cU+ycMdRuDapnMAX2FmxmpPLT+bdnncJuzWcjuM4e9dxrBn5Cv1+0aNjXXIjYTmKV3dj27iHzlGiEFNWD5a1tBo1kqSkFnCD8rKnMAyDNf1rGOkZaWmA937P+xxdeyWORnG8c22IvR07GCeb2vty8ODvW+9bQfalnNfMBVWSJKa7ZbZFrcfHnMXYdIMdbwjDI7RuH2Bm5UbP89K5K5aWns2EMnD4kUFJsuPzXkY8bn3uTufxKHIRGwfM7fd1m781wTuBnkQPt025DYBxHlGb8D8jhVpWsb34sIpB3+nO33Plm1u/yf1HiUjqiICYH7xdVax+R7zDky8ZolrpKI4Q48/5EbueEc3/YrYwLtWLbyjCKon74S21MfVMP4H2ZDrr5lZ9XLT1WwCcvO9y3h33JBxmTGeoOd/i0sVcWH0hlU7xfDKb85U7ynE65jGgSnwUtnGmP8nHwQAn+OM4ZSea1olhJAkM3o6WdJIIVWEvBiTrvPLiQErWXJKYWiDkm8scZfQkevifkf/Dn5qsyoZfGyP6eDhlZ1ptLLOIPlsgIxOfK0rwXOr31kdsB90XQNPasdlyBScAXM7FBAdWYXeb72TD6vXUzfwM36uK4fB8nmDg50jAr2qFo5OJvw8WcXWpGYhZWLKQlX0ruV15HOfmp1k2V0i8htUwH/S8wRkV5yEfRNQgszDdGjhSCAyKHjTP9DrINBv7Q+ewrsNU3dLC47H5BB3RLhls6TyGL04wqahHF/byl2BqHpIjoHuIOjdAEq4ffT33N4j3utQu1sQnLqrjiuetSpXl7h2AKXTy+eniXY7HNwGJdO+dI4UIwDggxRgJhh6wfO5wzCSRFMXxHs/5JJP7SCa3kUh+gpwSU4jFP7AcIx9EaEB/q5tgVwfe1P1PyjJaWnUugs8QjQUNy9wIjtTfiiRjlxMEMOcUW5UH75lWMZhsDA4OsnLlSh588MHUdTlwOP49Cln/zXj8GyBrMVRDRBP9/lzjWpLNCIst1ahOi3/6/g0Ail28OE/Wz85xOoYQ/cWj7Dj3dcIVc3LPta1h2O/evvB+rkjcTBIbSWwsjN/Dw9rZ/Kp5Ws6+cVk4TVuDTpQKUYjd1htmT2+CB9f3E8nm2R9hl2lUFeWOO9FkO2tKLmP3R0k4zCaBANtfDdDfnGD1Q/elqWCGHsGnhmhx1WDzHDySsDLUhaGLAa8n9+R8vv+D3GLJbOinngrAgi+XMfcLJTi/INQ4xu1+Ho8zDlmRw7b95rDd+eYge1aYBuvIoz1MOnX42g2nV6Gg4sh6xAyHcYsLKKqzfufON3PpI8nokTk8Fal08khVYW9PnJve6OC6v7Wx4U2r8fYXtz8t3VtXKM7nrjOq+O2ZVaKxYwa6wyrB1jhbVg9YnA6AOoeM3K/iXhPGrg5fUB1U+9g/WdCU3u2ewbagSK8H1AD3N9zPFRtM6k1Chzsq7+CpuU9x9ShTNa1txh/55mjx+1I8/xjoLDcXA7vm5JpR1zC/eD4gGpACzG86F2fSw6zWk5EMmbcLRROa1lGmxKt7O0x86xEqdlzJhLcfxC8JwQjDgO1ROSdCXVH+NBXlf0WSZL629Wv8vv73fHu7lW7wYd+H0CSMyZgUZ3n/m3xv1N1sCJkCGXJQQyvIv9RoCZ1NEY2GVG3NCIfVuqqxy9hdEpNnmFHMj467lU3Pm8++I2ClxrgKZBZ+pYyao8xjktXCWJI+ZVNOWc6NfhcVinsaVvNHI52yk/uPup8iu3CLq1xVPDHnCU4rPw2AX0zOLQDOJ1v7cFN+LnpIC3Hlpist2yJbzWstcN+KpM1GcUSRZAPQWPDlMiZdCbsqxHtRYBfUj8rZT1M52cbszxXjKbZRPdVN8cj8xsfJ+3N7Hh3s/AE+6P2AG7aZdKSh3hQgnBBJknm8z8Gbg3ZWhWw82tXCkk1L2B/eT0/vV+jtE05C66qvs/7PIZo2hFFVqzrdurB4tpnZlJsn3My8onmcUJorIjIkk5ppXGee/1D0+ebxNzPZY47/u0bVMsJhvj/5mstlQ9P70bT8qo4FBTew8y/WWkgtpqDFXbhsRbgxC+hdsjA2Aa4dKcZtTzLKrzvEc7+k6iRL9jVOgg+7RKH21Z9czeOtz7G3P7PzvMDHAx+n/5/5PidVsZaFNFiy7Q7+2mdHM8ippZtfZI2QJ/rNrGzSkIip1uyDLK2fEUsAACAASURBVME8j7jXki2MvWQFTcltKCgsKl2UpstVuoSjWuxWqC6wMS2DqVSm3Gn5zitmiXE2EPiZ+F7pH4+ne72mkme20+B0mVlQl3OhpXZjKLOVDUUZXqk0oSey1Mgy77Kelz1gGKKe1yYdmUIeQH19PWVlZXz1q19l/vz5XHfddYTDR97Q8NPgv47HvxqGhm/L44Q1YSA4PFaDzDBUJNmcwGpniehBPBxi5dLfsvvt10h+itoI2SZeQluWIa+UmBOAFIuhO/LzHJW+/HxWAKNqJh/qmVxzMRN2Ukxf3BpN1VOSuq++/F3OeOt9ALoCYSrjnRQn+rnkr9bFw70+4xo/hRMifSSK/qJuMTn07D8yhy02aEaOkuGXqYl3IHt0CqeYkVv7MB2aPw1q556Ws00bJSJidreMr8wGTierJtSys8Jg/vKbOHnFN6jsyF9QC9C1W1zz7IuLGTPfd8go3D8bxXUOZp5fzMKvljMkfS5ncweBtY9bM0iGbrDnvUEG83D+LftlfJWnyYwOFmRV8LqjBn+9ZATPfWEE41La5iUeGxPLhCP698vNyOPWt/sZ8V6ExfuzxgmwdNCN/9Ugzn0JBsutUefyPZdQuX0JyUgxgT3ltH+8hPq4zCrJyv8HUFHpNDIX5tz3Oli9BpstIHjTw7z3U3pMaolT89CX6KM5Wg9Aa0bE88zdVzO/6TzG98whbKj0jVxu+R5HXxmSoVDccjKy7qBs80l4u49ia1ThoR4Xl228zBKRHkJUix40Qr/H1YiKxgWTb+SBKtHRuaPJLKhXBnWUYbIeQ/1fhjAqK1PnliUWnV/MpGaViXueTm8PdmZ0/1WshrIc0lE2r0e58Sbk3gToBoZLfK+jKSOy/c67yFdfA9rwWZDMYlNZLqOo8Ifpv/MpKQHY8hg+mdvKHGU8MecJvl9m0knW9q/lvvr7cvpHHAwxW34jIdo7imjPKOxe81na3TKVBeVsqF3Olur3qZmQqudzBZl0SrGlHmzyqcNz4Dtj+Y3o1mhr7saM11nVVeIhje5dCRYe+ByL6y9JOyHhVAO4zLYkGwZE/VvzB//LrmceItIlMjv1q8O8GhpHcyJ3fpnkM8darauWG8fdiEN28JMJP+V0zmdi79y0YQtmM0Ag3WMC4Lyq85hTOIfJBZO5sto0Mkt8FzDKqfP18hgXFCX4/QyzU3o2bIqYaww9nJZGdditss69+/eiqzKbH5iCFhXGsxpX6N67E0lyYxgxJCk3iLYwjzM10VPBeVXnWbat7V1j+Xv74FpU1fqcljUtS///53t+bn6QajK6OuXUrQ7b+XvATubScoY/ycJR45AlzM7jhgOXZNakVBXkOu4zPGK8nT76TVyVoh5oKML/+JzHeWruU+nxYhgJ7jl9G9+eY+1N9cjp3+SC8X+nwJH7Hvi8S3K2fVp4PRdTUf4Mbtdp6Lo1MGXLEBCRJAeS5MThOGbY7yrwXZN3e51bUIFjJ3sJf8Gf/me7fATJL/rpu6SQvkvENunSAss+4S/4MS6rxH+FD+9lDgqXTLb8O1S2A0BVVTZv3szVV1/NmjVr8Hq93HnnnYc87p+B/zoe/yJIWpzpzx3P9OcX8+iGSt7rFCngrp0vExt4AE/RZhKhv6Gr3UiyGaH2lQtPf8tLzxDu6aJh9QdsefHpvL+RDw6vGPR21bqYuhaNPehx+08U0ZDkGyIC4qnIMOAzFuZM4y19zskQA8lcXuVZ9aYSiDueJPzmn7mk7QUub32aScHdrFn2QNqbt2dQcJRhikrTaG9HuvseSCZhveiMumXm1w5+zDAorLWjJXbl/WxEqBV8wim0e89Bspla8XbvOUjKp5cXLZ39h5xtWjKXfhTwuOj2e+j0e9Ak6Kyad8jvtmXn4rPQn+zP2yzrnwXFLrH4+gr8VXZLv4EhZDY8C3YlCbQnad8eY9Ozwxu1vzi6jMmV5uK7KGYaDvtSi9VAjXBy1QqxWGUXpWdi6KMLg6Yh+H1MmsyYYabEjamuvHLSi6TbSUZEBCvaM5GVOxZRGC3Pe9yvWpq5o8OJSMRkK9sJaAYs9b3H9lQ0fmOt2bujOFJBzYBJ4bNrDm7cdj2neYUajyabhnR1UFB6Ttl3Bd6GE+mcYNYNVe74EnLS+kzsnSp1m26iXzO3HwjnClwcqqjYbtgYtFnpDR8VmDUnzt3DBwP8K63HxU4Rc6FabEb97I0JDF2jrs1K5xwWKii334HU0oLvpQ5cW2LYd/ej9QlxB2+KSiQvXYo0MABtw19fphNfVvogTqc5DrObyKV/fpjofyZsko0SpYRji4VT+fHAx6zsW8mTLaIpWybn++eTfs5NY2/iG2O+YfmOJ+b+hJ0VuU3qOnbECPdq2F3W5y1JEo/Ne5TrLrgQm3PIoZJye/nYh59H3h5GUezljpfNa9McXLv6Hq5dcw+yLsZTTI+x/fUA/SvdTO9cxNSO44kmY0RDSS744A5qAuPJdE074h1Ee0cT7phONt7oWctdnWK9ifWPYMn6W5gleZnkrU3vk4zqBNrFvFrRN4axq0/i5D1X8tBMs0N5jcukGptZkCTj3MV8e9y3iYf/hCsulAkXFVbjdIos43iXzgkFal4HcwhFRcJQjifWoevifSsouJayUkH7kiQfsaBZo7DzuTLql9dhaDJOnx9JcqEbUey2iTnfLef5Xb8sp+lsQ9gQ2UwsvjX997N9Kr1911uKxYcUxobweLO43lc73+C5fjuvBkynfme8mHWp3ivzvSrnlU/HZqvglctGccsplfz+7Gqun1fCmZUig3900dHcekodoaQ12u9MyfHNqPyYgyEafZuu7osJBu9HN3LXrXPGvsndJ34DTeu29CoarqfPp4Hot+EcVhLa3G9o7Rh+zLvdZ+Xd7pDzZxaDapCgljVXSwZ1DoUyRyabwdxHVT99k+ba2lpqa2uZN0/MaRdccAGbN28+xFH/HPzX8fgXwR6xRobiRuqFMeJghJHlFvTkXtTYynRUY8Tc+biLSnD4LkFTL0VKvfTBzsPXfNdVMakcXW89RvY40G691dwQDiP/z5eRL7+clvVrWPnsO8QVP0Y0xdW+KkMZZLdVzWfZBbUsu7CWO84QE51LE5E/WdeZrniYOn4aN3/8JN/4xGzMNKfRWrh2es+7aO39BFqaQTeQY6ZR6tx+cK1++aGHkFeuRL7mK8gfiUhzzHHotHc+JEI6yXCuogdA8cQAP2us5YWqc9nsHYOslGLznI6z8DoUx0Sc/i8iZTRLPOZAG6f/6FfM/vyVlI2fRPFEKwVNsunIisHJ3/kp/ipzkcx2PNq3fZL+/4Yx1eyqKaOy8+CTNICrIH9ti2ZodMY7uX7L9Vy75VoGkgO80vHKv0ze2OGV04Wuw9GrNj7Tzycvmoa4nqdHB0Dw7TB6S+6krgCXp/TY+452kxhpPywazTeOLSWTFNavDFLjOYAXmIvCMnyoepK4FkGXExg6NMVlHu918ny/A0m3ETMM+kImR/6YvZdz/rZ86jYCrUmF1wN27I4fpTvOAgQXGNzQ7OFbLR5iUTNKuL7uNVoKxZg7eZ9VKem0PVfxPx/9nlmpqGFtINcwGcKe55cSap9O+2u/ZuW2hcPWN7w0YN6RTwY/yfl8SL1Kzlgurh55dTpKfMOY2zkwy6potdvdQI8tS+t+iulAOrdFceyPk22jK36FgcuLCZ3tJ/A5cY9dO+OgCudlXkNuAXcmfDJ43zLPxYgO4NoWI7r+ISIf/AYjGcPelupvoojxIjXmNuvKhN0+BUUZYRnrvYleC20oE6dXnJ53ez5cVH0RIDIeAGv617AzuDPd1K7WVctE30SOKT6GBSULmFNo0mM1WWXFuL/iKbaO+54D4l553TU4YiMp6jk//ZkkSdhkG3Iqk+P1fJ5sKHYJX7lp3B57pVmDVrF/at7r6EmIqPDcwrnMbzSzB9M6RZ1TV7wLKauRqBJxse4pUVh85u5rUBWznm11/2oa3/kh+eBKepF1GS15J+HGW3El/Yzun87+9S+gqWLt2PZqgM3PD6BrBgMZWbXtz4dpXC+e2xkV5hpnGPGUofs5enqvpqv7fKLRN5Al+E1thGtGf9/y/EtK7sl7bulrS0nrJhLbGQyKfWW5KE0DMgyDRNikyKoRO4EGYSOEe7vTGQ/dEO+yxyMK5u326cKBnP2Y5fdK7Qo2YnyuyLqWtPb9yPJ3jypx847v8HRr/mDmkCLZM12bWBmy0mc7EiGMlLH7hZJETlf6scUOzppoGsZjPGPwOGRkm3gHXqs/laWfXJUWkHigJ7cGKxPR6PKDfp6+pt7rCIWfOPSOR4BsqqW/QKiTSlKB5fPMHjOZKPBdnRYbOBRcKTn9uJ4bqJGQsNtG4rebAS5fhsxypnTz4aKqqoq6ujr27BG0uvfee48pRyjM82nx3+LyfxGUhPDQE5qYrOyexalPElRNm8mEE0/nw/vuwFCbMRADc8pnzmOwvQXZLlJwklyIoQ8QDw6ixuPYDqN2IRmL4quoouATEd2rObYfh19lcFI5TJ5Er9dFaTiG8qUl6WPKfvt7RiWSHMA0fpIV49F+cRLKT36KtGs3xlRzwSnzitemNMWbH51SM5lXWkfJ+x/Cxq2MzjqvwmickT0BmsrEQC12VHJ67RI2vvA25edXWfaVhjFC00jpt0ohM1pqd0sko+I4NaEfUr9/CKJbcv5B66uOUNfRRotUy8Kpbo6q8KHGFuCvsrNm2ZDUnjDmChJuyoNREnoXpePKqZh4FXs2fEz/HmG0uYsLmHiRiBbaXW4KKqsY7BBp73goiKe4NPV9BltetHbNHXA7ObpzOb2l05ix9QH2j7uAQf9oUJLY7Q6SMYPJpxbkzTIAfHf7d2mLm1HdIRWdmf6ZjPLkL3z8R5CM6kQHND5cKoyKxdeX5xgd2VBjOo6svh31a/IXCdZ4bTwwpwz3hxGSrl4UnsXgEpRBQ/A1DhKxHVFo50sph2Wjdyc/HCkyUD/q+gMzy91oO6M83/hbAMqm9tHz0BT8Z1UC6xhI2lHihSypWMq1a1KdqFNCEW7Vxxm7vszyyY/gSnpZWP85Vo1+Id29evmgXUhP9nyJygoRHV7tX8dQPaAmZ1CHZJ2Wwl3UBSZRHramzEuiIssWD9Qw29NDeXjEQe9r95aLiIfEuxXXdZxy7rgwMiJn+WQZh7o4Vzgr6Ih3UGQv4pTyU1jVZxZXr5LX5xx3xYQf8PrO+9N/J8c4QAbX9jjuzSmJyqyhnpm1M1wyaqiF6Nu/QC4U11l0kMjigtU/xHf0l5Ej5jsd/ehufGfdhR4UgRgt0IytbAJSVEcqLIa+HuS770ErLYVhFt2S4l9bnPTOeKelbgHg9qm3M8J98GeRD5lqSkP4xR6zBuTimostn32m4jNsDJj1M+WOcmZfXMyqB3OVq0Z1alT1ie8KFSVRa0xD0uU6AVVryzEehzD38yWsuFcEz1x+haqpLjp2xHCEc6VdW3u7mL/icoITH+Pk8SfztsOMmg7VHXzY9yGj261U1Ys2mvVHDs3FG31mtm2cU0Po++S+r0vWi6L9vYCqhLDhoHLfebQlvajBBqacMplwr3hPWna8TscOkwYT7FIJdqnUzfSwuHQxNa4aVEMlGHqUaDS/DLBTBiUVRS8o+BqKXILdNjrvvpmwKaNQNdOpFdFxsXa2rPTRs/0tZJstp7nuYHsr/okudD2IoUdxOU/E570cRS5Lq2hlRsvHOjQMI0Io/BcWFqjUOnTu6RJG7DtBq/PwUr+dplgnTR0vc1HFYsY4PUhKBTeNvYGvHyR4kokxDi3jeg6N0RVXEoouYMG4MYwNqehYnaYRdo0bR1trlqKxFek6k0y4XKfidM4jELgtY2uSSEQ46j7vlw56LoH2JIodfGWHV+focBwNiForr/dS3O6TASgpvoNE8pP0PbDbcwNAZaXLUJTDD4iW2EtoG1bxzMjJTDpkB4ZhIyd68ylw1113cdVVV5FMJhk9ejQPPPDAoQ/6J+C/GY9/EWypnhhbGqqZV2/lTVdNnYGWNKMwakRMeJIkIcmZzoW52L131y0cDF17drJvxVvEQ0EKKjIMecXAXZpMv7RtxbmFx95ELsdecxbBlCkYsgzR/JQCSZJ45Pxa5qX4uE7nwVOc01t7kFNOgzvlrVe5x6B/YOWd2ttU7PWJ4ZuPNeRGKDMLIlc92EPbtkPXxXTtiaFGTYlUZ+HVOItMOoOhw88X/AaPLcLRIzwU1zkoH+/C6VOYv8SqRBV0RDEKCujp/Qo9vaJ42F1uUrPmfmkxQwEzwzAYe9JE/KOFUbpumVn0t+EvVgUWALuuY7vjFhb2P0pxYB919UuZtOcpTnz3JqZfqnDC1yuonJz/3if0hMXpyETSOHhtxZEiO/PSsTOWt7lbJhJR6+eGYdC0PoKWPICuDTB+nDkufj2hBG+Kq39g8beIxV4lGRXGmHO3NVtma01S8HIAUqpJE8ucLEk5Hu/6zWc/qz+Gf1eC3QFzW88OQREIdoixM3ftD/lIHYdrGHWoMf2i/mlW2ymM753DlK75ls/3p/pu6LqYD37XaC7AcpbS3aDLSoH42xSrxGP98p9TqRw6w+NXzfH+LmKcDVxezB/GPsOPRgh51EUhk84y1KwqH0rs4n5cM1JwlrWI6bC/EXwr7zGZ0IoV4pOtxko4KgI0VVNdLLi6LEeNLb5e3CM9kKoJ85v1B2PqX6VoQCjojGh+B1d8AHXVXWlKFYCRSNGqvCJSqA+K73HuiiGFzfOXl1mNoWxIkoQU0ih6sp+erAz0X+b85YicDhCF6AdDtrSrXTYNprun381tU24bNshSZTe3O7Jq32TZh7/gmoMaRjUz3JSNFefnLTFjlNkiBB+vPoA3WcSpe6+keOdEjm0+J/3ZaZ6z+Oz2r0OT+R4GXLnyqQBXrRO9Y6rtOoOqhKQk8FUcnHZr01KKVkmRwenaWUIypqdpnfUrjkbNI9pw4CMR1BjvHc9k3+RhC8CHMGRgetyn43QefdB9zYOsz0XQd+w4YvfQs12MJbvbg7/GlP0urBlBPBREkhyo6l50I4wku5AkCY/nMxYa0WTfZKqcVXy5LEEo/CRqKrs8xqnzxRLxvN/Lcjy2xczn+ErTN+hOhqmwxVADXzm8awKO86WKw8lPFVJSC11ST6au20aBZzKTypycMNrLWLc10LikLIEce4hI5FUMQ0XTuhkc/G3O99psEyj0fwOX89i8MsbAsI40CAXIzc/3s+HpQyvKmb9Znc42ZVKbbLZqPBm/5XIeS0nxHWkqHXBImlYmSgOOdMYjHzJLWYbmAAUFRS5Nnc+RBRBnzpzJqlWrWLduHc888wzFxUfGHPm0+K/j8S/CUMajs3M2W+ZY051FtSPp2GFSGgy9n6MvF8aqmsiIShVNQEp1wdI1lXBf/kY78VCQTX99jP0fvEMsMEBRwpys5VIdzZAIl89BTcRpLikgZju43GzplCChynlCRkNRkF98EQbzGySVPjGRlQUjuFd8kPO54bWqQi3c04I7nqTKPUacn6RQIOUOUO+qsGg+lo3WVkumYwjZ/Sy69x2crgVCEUqNmVFbSfbzx0KV+FQnSAaFY8TvfOvoe/FLd1uink6fgt0NmZORsXCh5fslWaFuzjzmfGEJss1c+AcHf0cw+hNGnWR1CAZamug9sJds9BR4oLCQwR99i+uuV9g+Mkxt20pkQ2dgoDln/4SeoDEinLP3e94f9voP1e33SDFukTUquue9YDoCOWJOfqM9m5KlJQ30ZDPJ0EskBv8ELUkmpwqEt74fTMu3DqF19j0YGCKS3j8ATUKC0fdeCCWom4ZXRjatPqMuIagIZyCS557oO3uwaXYK4+VEm2w4DyJLKxkys9pOSf8/E8t6nQQ1aOv+Ii83ZvD1DagLWNVhJo00U+phe8CSERnC8fHxGI4ghaNXUnv8vbjL9jLyxDvYW/0ee0tFMKApo64mqqX49lqM15zvs8G3g+dK3sKV4Zxk1wCphkqRvYijC49Od392phqQHrOqjmzcPvV2HukXBmQlZYQXmPcqGY9juCTiusH2qEYi3EdzUPzepJMKcPz1SVhtLdI34tbnIavm/Dim8TVmb76H+dF9jDvwknmdH1lpMNH1D6P1iOhpvFY4G86tEYx4xpw269DGpO8dcS7xNiuF7B8Rc/DZfJxcdvKwn/vt1kLvid6JXFZ3GQ/NfIhKZ2W6udysi4o46rzhDR1HYxLpU6rKTTihgGlnCcenNkMhbE//vrTzEQtqFDeI+kFfopim9WaQzeWX0Zu81A5OYPSmhdgLYE/Zep6elRmtNuHUPBzVdhLnrLmNkzb8AENzUT7ewYQT8jfQGw4fPXzoBqbxsLlGRqJvkEhsOOj+2UpJ2mHQVFW1PmeblkzStN58x71lFbhSBdhF4yfj8PmIBweJx0VhuGEEc5rPDeGnk37K76b/Dq8iziWJSU06ym112M4uzM3qPzfgIKKDxxBryDyvil0yULMohAu85lxr0+yUvncrje98j9UPltFbn0sLOqnsJKqcVXkVxQAqSu9O/98nG5TaxPkHQw8SibyEpucXWCgpTmW63l1OoncRspRbYznUtDUfmjfmCmccDryeC3C5TsKTp1bD0A20VFDLbp+IopRSVvonykr/dMh5wdB17KqMIynm5XjIau9UuUwHLVOrpdpVTY2rBkmSkOUC7Pbx6R5M/1fwX8fjXwQlHmBPdCENY/8nva2wewXFo8aALHNg5XvmzpKTklHjMAyDra+Yg1zXZnLCDabySbjbWicxhLXLllr+drnNReLBpmN5oO0swhVzCHa0gyTx7rTR5m/Yc9l2noqEqd2XmmCl557L+9u73xZNhqa3dCPHco19/e7fWf72xZMcv7eFCX7BVa5yj6YjqfN6IMmHna/wavODlkIx36sZxsGBA0gvvUQ2tPvuJR7ULTSNQJvVMNVVI0c9yTAMZJtpPJWcczOXz/oT8TEuZn1lF3JqQh/tb8GmryYeNws5B1qbCLbdAykFD8XhxlhipnmHml5NO/tCyidMRtPNCHYsviJ1jHmduqay9lGTlpKNzl3bieoxegslMgPdz+9elrPva52vcfPOm3m7+20ebX4UENzrbNy1/y62Dm7lza43cz77R5CvyH3DX0WUKdSV5ASfjamzrMZ7bNC6UGoJAzVuOucBzWB8RjQ8ohtoqPSpEs0JCd2AX4z5LZ+deAPPrXka//IEveEuBhVhLCr9Gt73Q/jeMCf3/YppZLc7RBS2LWGtZwKQoiqn7DWpAJ/b8h0Ago7cyNmIAZOnfkxL7kL1esDO8/sns7wpozao+SxcqnDQG4qFJG/5c7tRw8vxy/Dk3J+hyrmGQ9vKb6DodmRHhILaTxh18u14KvawZ8LzvDPxcbq8TbgTpjFqxL28VPwu+8L70tseqXyRt4qEIVSZKKU9YnWG79p3FwPJAbw2b5p7bJfsYBhUJ8t4frc1MlnnqsM/vZaxsTpqXXUkxpiGwLt3/Iydy//GezGNfXGd1XEbYV+q1mn/fuS//Q3lLuv3GdEsI6SmjrmtyzlqixgrxjVXU1k9Bc+cq3LuDymZSbXFLIg2Vgu5S63X6uA7t4WQ4sMY5rqB/5mBtDJXqM90PGb5Z+U/5lPgmlEig1TtrM4x1vw2q+MhSRLnVJ6T0826sNpB8QjzXufjUNs6jjzDKckSDVOEMfzAJ8t4uFHQT4IHUaRLxgziIXHPknKCYDRMQolgSDrHXJE/srqg8XyUREGaUqjYXWmaZkw5cqnPionWzJKSoqWqagvB4NJ8h6RRpPyvEDJBOBwHVIMzejQeC2v8IqDR/ylUGBvXraJjuzmv+coqmLLgBCYcfxI1C0/B4fWRjEaw22ek9/k0kXM96aTp7Stzen4c583PHtCRcMvi/MtsOklD4orNV1v2ObcoiTuVaRnVP51kpIxor5AB3vZqIKdWsNRRyu+m/85iOGciU6lrgss674fCT9DdcQuDzXMxdHERFeXPonU9SeM6MQceWPUeG598jo1/zHdfrEFVNR4jEc11OHa+dfgiK7Lso9B/A5LkzalF3PZqgJV/tGbwFKUURbEyIvJB1zT8YRsFETFa48FBvIoXp+qhzFGWvud2ybB0W7dJtoNmR/4v4D/W8ZAk6UxJknZLkrRPkqSbD33EfxYqdj3GR8Ellm0lncvxV9fx/m9vtWyXZD/hXhU9z9zg9PqYfq5I9SUiEbr37sLQrQtktN9Ky3CkUp1rxgnVjmgqW5GIWKOHH4+pIjIvVwbOV50RxagQdCFjxQe0bd2MrpknmYxGaFgtshyehPXk9fPOQ3v2GSgu5tELrdxRh6aTbFyZ/nttWCNhQHusg9ENewi9fC16VBh1tv7UxHSgHuW730N+733LdwWOPp3mtgJCPaqlW7ehw/bXAulI+p73gmx6tp94WCPYnWTFvV0YWjt6ykFom3wqFZ5ejqnazOK6NST03IkjMHg7yeRuDCNJsKMN0FAcE5Fto1h4/Y2gmJOeqlrpGEMdTbNRc5xwJls3Hzzitve95fS1NgDw4TRzVRkYbLd2PTV01g8Ivv0jTY+ktx/lP4on5lgL8FRD5ba9t6Wdk38WJEni+JFOZrlzM2s+n0KRTWLsgM7YBT5mXSgWj/2rMt5Nw2D3qwNkZpPGOUCRpPSC+tagyiMTn+LWVh/3tPn5ZbuLvmAJV6+7g7cLdtBbAN/b8R0+P1HwyJ37Ethbktj6Nf7e/ADf7X8PNWkuXD8aeS+fmXI90Xj+qNgQjQrArouFc0fVypz9SiM1lr9/P/33PDnnyfTfOhKzNn6Lz3/yA9wJkWmY2yqKXD2V25m86F6uK49RUBlFTWyndk4bhqTnpacYmgNddSHbrA7/UDlNdmam3dvMA1XP8cu9v8z5Lodu5+TBefRqfRZHdPOg4OtLSFxedzkj3CMY7Rmd7jni1k0jagtWugAAIABJREFUYopvCpIkoVbZcZYWMBDv5Z3bf0pjaDvb+kVmsenjj4inspMDmeozvfmadZqLvHTVjQAkzphK7YSTKesT40k6XmSXlJLc4k6pIldSUhoYwEjGQBdjRqmcDjYnWn89hc8GLL85hI971hFVUxkxOcbSyr8C8Jupv+GGcYfHiz8U7ptxH7dMviWnN4RX+XQdiceOF8/jM4W5rkemgMeR4LgJwslyqT7e632PeEhj74o8Wemh38sY/qocx6G6idsEBdaZMTd8OMZUX0u6rN9ndyr4q0Q0d1vVYaqa5cHYxdb3S3HF0PXBdJ+QfPD7b6Si5Hk8X12KdJ+gOt4yqPOV1Jr0RMTgg4TBxb356WA221iyTSwpq8Zq5DEL8N7wLSbc/zCjb7wJezRGMhbFX3CtecxBailigwGS/abgwJ4X7yXSt4jEgEn9c0gGvoOQHDypU/IOYw2OrHyB304XAYHZpTNzPs8O8n0aXFSUG1DZ9/LvaFt9Lbufe5DiotswdDt734/S+HEkR4hl7yvmGC8q/GlOluGDe+9gxe+fpWNnlM4MGm7X7jirHz10ZiwTu98O8uEfu0lGdVY91E2gPUlfozifvSuCh0XvzkQky24zDINioxx/vBRXUsjil9vKqHKWIA+T9fq/iv9Ix0MS8hH3AZ8BpgJflCQpv5zGfyiUZAi3bEbGfMFmxvQE6NlnjaiWTzgKjARNGyKsfMA0LnRNeOQ99XH6msYCNrb//Xk2Pr2M/R+8Q+O6Vex68+95fzuQcjCSivXxdmzfkv7/W9NG0+33YmQs+E0lBQRODPKjuokMJMW5G58RPMZEIs7Wl57mrdtM2lhscPiogTF+XDprcuWlQgs9UDCaQMFoceymx1G7dpDIiBZN6/Yzslc4SWqHONdk40ewZg30ZfWAqChHP+kkNvjO40DKaM0uYO45YE4ufU3CmVrzaC/rHv+Q+OATqHGzCHKL23qvHHL+dG9f/3cJhh5FTzl/WnwD40+YiqvAz843XknvF+k3KVCGYZBIbsZhn4XDfpTl++KpLrj7P7T2izjqwi8y86LLmPOFJQCEe7po/KvI9pQcfRJ3nyfO150w0nKnDzc+zGUbL2N/ZD/ZWFS66KDyj/9slA3qFOfp5VEzSTxvZUBjxGw3hTUOXIXWVdHWkiTUF8PIUIDyy2LRKHebk/vuwRDnb7uBq9fdSa8mM7FbONEF8RKunPBDwqksQaPDjOLrhk5YHWDuwDrs/ixn8CB2mZbILXRsKN7Oxtq3iLtMp+nYJqHos7tsHZqkUuYoQ5EUZF1cY0eGpO2c1tO4Yr1ZSOwqama0S2OSS6dorBgHWoHEBM8EVMVccH21Vic1GbYuSucXCUMg6LK+wyMCk/HGc3X1AYrUAnyacFQebX6UpJ7kixu+mP48okWYWjCV26fejm+vTuFzYuxLSCwOiGxaZp1DUAtywGgmYkRZ0/13tg/kOmmZ2Fu/KnfjQGoOkmXUsxegPfcs2pgy4keZxrn/pVRG1JZbK2F05EoDg6j7MBLimTmnXwy6hpFSzSr68wC2tiTB5lZW3fc76vv38Nvmu/l99Z8B2OU26TMj3SMp3Kzh2H1oWuehUOIowWvzWhyNu6ff/alpXBP8CucW2pAzjhs8Wzi4h1ILPBR8DnFuim5j0YGLWbOsNy3okQ92lzmnutUCZGTitihnlJ+B4pDxlCiE7QM0Fe0wj4mZtD/V20/xOAVXicQD829kS837h32uitPMlFcdvYyBwRs59spSKibZkR1hgn2b6O65Iuc4n2+J+R1yGVKqvlFaL8bcysThO28lxb+lotzKFJDCZmDjtK31FHzrO5bPHR+tFsXmhhkUGc7xePPWH7Dinl+x/Zlcg1cNnJr+/89qVNyu0/nppJ+mt2Ua/K6UvK1Pzr22yb7JSJJCkb2Ip+Y+xQmlJ+bskwiLtdAwTNrRoXDP9Hv4Uu3F1BR9g4KC69LbDcP6vjsc0/joEdNB2POOlYoZbhfvZLy/FKfT2hA5EQmjxv04vJ9h9zu5DvLQeR8uOnfHwICPHulBjRs0bzQzcG1bo+x9f3gnfAjde3ex7rE/Eg8F0wqkQ5AUOU0Zj4eEM+uUXNiV4n97b65/Nf4jHQ9gHrDPMIwDhtAJexo47xDH/MehRzWjcFVdH9Na5CPcYxaxyTYbrqICDD1C9z4rV7KgXCyM218N0NeoWihB3ft2s2v532hcu9JCSxrCrj1bidhtqBnRFV3T6NhhOh7JVJ2H1iEaBu6sKWXbiAquOa6Yl+2xtPKRceaZGLNmWpyY7r2i70UiIgberItzJ3Bqa3M2bZj7HTbMNSfa6Ed3k0iYg3ff+IvS/49/Ihb62KZlKHfehbTBamzpX/4yiS9fa9nmK7Mx6hgPMy/MoJfokIjolgVSjbyJoXWjp/p3TDi/npvn5cojDqkPZUNTWzA0DYcvgc2TZM87r9O6eT1NH5vGU/3qNxhs3I+uqWx4JpWwk8Dvv8nyXcXjxQIZz9B091VUUT1tJlVTZ1A+waTuoOrUdbq5oPoCmsvERFQUgpV9KzEMg3d6rM5LJtyKiC7ff9T93Dvj3pzPD6f3wGEjFTUukGHsNBej54vFYX3d61zVdS1/LhP0vKI/D4BhUDraYTH67R0qjvLdIA0ipXhlcV0srgG/aUwu3nU1FRmqT0MRfiPLg4jK5tiqz6OUMoShdXfrWNOhrq8S72cynOvkR+2DHHvCGAqUXMGGkdUVKIYNLWnQcyDOV9b+lhH9U2iIm87fjI4T8CZNR2D6KVegyILCUD5DZPwUu52bJ97M0gOmtGjNsVYBAkkS96h6/w8AUVz6i5oIH416Mee8rtgoHB1vvAi7Zhrr32lbYtmvccBqtG8dNPsBeD62GjpSKjNV6hBZwm1/f56WmMgktpZnGbtSLl+/oms9k5/LMCiGhDdSMrf6zd+z7B87Ok+NjSuVPVlkNujUv54/mm0kwqhdKYlgpx8MHb1vP6E3xf3zvRtixAoPC1yf4f16UTS/011Pq72LRyqs99S1I55zP/4RLCxdyDmV5/DorEdz+jIcDhxtatpISYywEzrFh14s3rl/NONR4BLPzqV6mdZprWfrPX0dsy4y593FXyvH5c8NsyeUKMUp6fNjLi1l9pcKuHb6l1n41dyIbves3Vy5+Uou33g5hqSTsEWZv6QUd1agor54S86xetLN+HNvYtSi9ykaK+ZlybmJkplL0BNeQq1z2PXMQ5ZjJMmD13OB+ffO+nRtoxSLDdtocsQw2QRRTK5QXvZnKsqF6pL+oikxb9P1nHpFe0S8S8F209iWevMbtJlr/96XrcXFUnImx20t4Yy1Fex5aDxS9EIm+8y1ZIHPnO97VPG+eLIcj6VHLbU4KwBaHjpiMiVj3rguzMo/dtOTp+4jGxXOCs6suhC3+1TcrhPREh52PfMQu599MGffzPrNvubcgOCOv4xj9wtlfPzEg6y451cEOzsYaE3wyUv1OHzn5uxfM92Nyy/smcN1lPKht/7TS9hufHoZ/U0NGOl3ScZXMUQrdFhEWEK9Kvq/Rv/l/zv+U+V0a4HMqtkW4NjMHSRJ+grwFYCKigpaWlr+fWc3DBKJRPo8pmTc2gl7n6Wm7QNai61p83EXXEbgwB4giaFHkGRzQXXVVBLOzMRlRKsH281r3bU2t4EUwLpx1Uw692waDzTRv3cXB3bmp/q0eBwUDUBLHrWrvU17cctuijUVJYPe1bJ3N3G3j0CzaFoTjJkD0JBlJF2nRdMgdS8cYYnqy+8WTzELsf5GcOfvRdDc9AZFQFKWCaxeRSkm+aa/sYn9jbVk+s56cR82BUI6FE1QGNgrVoTNf+tK76cnc0/CW5k/EtjS0oI9T61aLG7Q193A1MtEZmHzA1PY9rfnkO3mPVKcGs3vvo7N46NqnuCTR8ILCIfCiGQe2Gy34anM7fhbd+o5w77Pk5sKSHYnubHmB8AtfO1Vnc9Pfxk1lOs4lCll9Gg9nOQ5Kef7flz2Y27pMZXSGpsbD6mwc7hQElCIh9eLV/KI90V+WvlzNhz/NOv1TQA8Wf53zus7EZ/uoejPA0RLY2iqTHNzC5IE03d7kYxCDC2OuzRBtMdFWA1Q5Cin9KiXCHZMy/nN0nANJRExgds1F27NSVQRC6CCwm5XA/HBBn5f/QqntVgNugK5gKAepLZbGK/eqDnWVs/oY0yHGLc9nibeG/80F28R9K2YPUxlqBJ9VoL2tTYM1YxKjZDr6AGa69vo26EACmfvupY/HWM1oodgLzBobWsl1nceBVV3pbd3tbeT8Pgpq/NRPeZhCmWZro7pOCUYEut5sOJvaK1ufjyiNt2jxCNDn9ek+22qepnZHWbs5oqNokvxioVLmfp2kF2xl6mdZNYX/Lj+Z9Z7JBXQ0tKCpEER5jymSwafi36GXSXNjIiNoKWlhdZNH1PpdNJZEifm0NAkAyUVyczuxDzzk3sp7d9p2Rb79W/ouWoJo24VlLBOTSOZ9f5ma7g0zEoSWXQXSBKjPnyL2PjxdI4fT8nxx1OwShie4Vkz8W7+BFUdQG1OdXW2u0V0AjAiVupFsbOSwoAX/KAYCj8c+Qc6Habh09Lckr4XR7L+ZK4XmTiBE+hp/3Q0kCFMSXpQbbBnfgTdBmhAi/nM2hpaxPYjgBoFcLCo/uKcz0JGH4NqF4VjFbw1Oq2trfgmgSopDDaYlvk4/0hmJGdYrruCCtqDrZChkvTq5KU069bGrjZsdA+04x0pE91qXkTH9A3M6ZqGb8qrNL8kDE1HocH+16Yy5nRz3RsI5CpDGoZZzqiqx9DS1ITdJoNNx/bAYyhdj6f37bvll/C1H6T/LjA06gyVJsN+GM9/gFBrE41VZjO9fDFsd4qyvO6xPzLlC3achUn47X203DDBsp+etFqkauz77HrGvM/dTTCp2VzTN73wFHUnfZarWEJJ2Z8YUl6/drUIuMXP2YlT7+Kotj7mtpzBo8d8n8GOQUKS1TEa6JABGyNPS9D0lnhePR0BjJI+Gj8Wf29/NcC4802bQI2KcqsMQTbUqDBplNS2+MDtee/ang2tkNF5SfGOBMyarbHnfp4DrwjqY1+DCJZs/tur6LHPAhXZwmIAuMcH8MkysS02WhpbUYZZ9jLfDYHhC9eH0NzUkvc3QQR/syHbyon06ch2J7qmIdtNx8PQDJJhCdmeQEvESQwGkO0OnIWHX/Pzr4SmabS3H36PuUz8pzoe+cakxTU1DONB4EGAadOmGXV1uQor/260tLRQV1eHpCV4rsNMH/oHG1AMnajDqjwwdvIUuhWJrg2rMfT+tOMx8/wiooMavZiRjjELFrN/xT6y0fRWfrpVxOmgctZCdM8O+vfuYv+Lf8m7X1N5IZ2javGWlDLQYpWp7fB2sKh0ERFJwptQkXUdXZZxyRJ1dXXseEwUeI4oT0lVXrUE4/TTIRSiLkOWzft4B4pkh1SnaU22oaQKWsK734BZpuOhSzJyyhAo2PMBrUU+PhklDMUJ7X1M6OpHHz2aojNOJ7zMWmw4cpT5DtTVQXNFhAOrQkS7zZlAS1qpblXzrDKKRYU/YyDwMxSljsq6OmKx7yFJLmS5iMHg/ajqXpyOOFWzzPvurYwQ7vRQNNZ8XopTXEP3ug8Zf4G47rKiGTg8VcQGB4n09XBgxWhGnmZ1PCRZZtS48ZZt+8vLiHULQ6S/IEGJx42n2MymTWsy6J9tFjqP947nxxN/PGxn1DQybJvymnJrIauuQ56eD4eD+3b/gZVTTIf48eBjeAdlMtrEsN/VzMyIUHLyNNnoMwwqS2vwBDSijgYG2z1g6HjKokR7XKzsfJ7F13wbl9xA19Q/U7HjMstvnr/tBhRDTGejo3U0lJpR0DsnPkFTUtznMW2mc68YBj+pjfF6qJY1g0FO2SDqmbqL4hSF7AxUySQynElf63Oc1a5AKklx57Q7qXXVwkiorkumC+hHHeMhGTOAaHpxHsJQEXk2JhxfSHmdi86IVTFpxISJFNbUoVV1Udi3lrLWq/hh8hXucMlsSdUv9ctR0CWeTzxPfNDBl8oSqLjwKT7ivkE8CQ/lbTtAFo7Hko9NVaETVl6HymZU412qepycW7CIzbZepnYu4I1JD1McraIwVkZPeQN1dXUUPdmPaoicklRqI3RmAWUUc7dsKtVsB47fUsoLJ7axbmo/bWUxTgpMx3ZAx+kXRfpjD7xEUeAAn4w4wAlZNfreTz7Be8ON6LKErBtUzpljqZ9K6AlafvJ1RvVUQxsMnuunxF/MkEmnPfcsdqAO4MYb0G68ARIJXJ2dsPkmEqtMEQet1C6sotR81JXYT4XDHFsfO0Smp8OR6whMX2E+yyNZf4bWi38mZKmf+HgnNaOt3aIjx8XxrI5QV1KNnicTcThIxnQayb0POhrlReWMqKxjRLaq8ETY/GI/gVQTvwumftYizZuJ/ZhzcbacNMA3x32TuqI6amsNtPkGqx4S53LzTOHMn9q9BO+5OrftaKVmmsK6ZYNEOsM4spJs4875Lg1v/Qgt7kdPelAcEUpL7kNRapDqG+hWdXQfSFnR5ofnWrM8L1Y4uT9kY2fUwFFdS8UwfZSGsPxRM9N88vaGvPtk9tlpWVVF7YJO9H4l5z0ZbDfXDcV5jKW5IUCs14unpIxISgkz2tNF4/IkTmU2Yf6Adv7/csauL6f398nH0fDGAAtS8atr19zDwEgH088u5MCqECPmenB6FZItIXqlCKMn1uKV4ux8cxCn5KW2toD9mFTxzPMd6gcz7/IS3EW29DZngcz8L5UB0BWNARlCMpIKho321VabKd4nMtwn3fQjkrEo3tJy+jatZaDZvJ8OWwnDkQpdfpm6ujpswSg9BKkoq87JoAFs/dsAfY0Jpp1dSNkY4Zlkvp+ZGDHHk1bMqq6syZEEH0KoK784ECAK19UBZIeEnpWxtyl24mER8NCTCRwOsaYkIhHsLldO3dDhYs+ePVxxhclWaWho4Mc//jFf//rXD+t4Rcl9Lw8X/6lUqxYgcwqrA4brrPIfB0eohR5MicSO8sk0155IzOEAJMYuOpXTvi8KzB0+MSsaujlUJEXCW2qdnO1uq7rJoVASjmHYFDp35c90ZCIeCTH788Ig8ETNQRgPhwi0t7AlFkCTJCZ0CAuh6eOPeLa9h+3jZmDTdNzfTjWCKi4Gux2KizF0nRV/uJ+1j63nhca7Wd9jSv2FPdXEHX4C/jG0V1t7HXRWHM27J97Hhlk3Evf5004HQEN5IYYksWryd9mxQrW4oiXjd9LZdR6JVBG3qrbgH/tHsqGllZLEhBbGww9WChqL3T4Xp3M2xUW3Ulwsoq0u1wKczjnY7WMpLbkTgKS6G8VpPq+6RYKuNvJE4f2rUQVnYQJkg1BXB8EWD+EuF30N3TSuXcUHv/816598mL4DfRgRU8azbNxEZl54KSD4smuXLWXfxlU8PHsjz5wkImozDhTy4X130NlUj5YKx3hjcCBygJ/8WePqLVXcMvmWQzsdWRjSXH+t8zVijyxFueTzKJ+7GIKH5q1mY2XImoXbHt3BOt82y7abR93DU6Wif82QaT/Y2YfvnRB/3/8IiUHRV8FTadJYWlt+A8ALhetyFKXsGUXO7izjvinZimRIuBMFaelCgDESFCoGFxbs5VsZvxPwJXllUTuds8XYDHjNSJWiS2mKQ63LpBP6ys0FsnKKO+9iBuBO5mYWAcrHCx735r8+Sc+OIqCAedePRvGL2oje/m8BEJskEVairPdljOuUvbOmfw2bogrLAzYC9qt4aNZDnPalcYw7vpeygJMurwgsZDs/NpcoGlYkG6sLdnHWrq8yun8Gs9pO4fOffJ8zd19DZcgMJKwIqrwWUAmd5ReV7HmaQ7oS5vW3VER5qWZj2ukAKOnfTVFgPxEnLD0r/zIkp2gHuyJ7+eKGL9IaFcbW9Vuu56bkHxk8YSQDlxUdniHtcIDHStHSr7qK6LEelGt+nN7298Dt3Fm9THyOToMr/7JzUiBXlOP/O3RD2GuOPAZwapDZW46cu5FZszGER+Z9lwePuynduyHvcRmGmMM9vMlRMcEcw0FnLqVmqKeJJEnYnDIzzi1i3hXCwdqWko0Ou2WmnTnGFGVUc++F3dNPxUxRe6ElvDjiE7C/uAapsRnlu9/D85E4RymLQTdQYK7B9xWJ6/1/7J13lBzllfZ/VdW5pycnjaTRKGcJJYSEQEKIHE0wmLCwa6KNbbw4Egw2GGNsMNlEG4MBY2GTBUKAJJCEchjlPJqcpyd07qr6/niru6qme0RY7673+Lvn6Kincr31hhue+9w840ZvfkmqYk9SzCl6ZSXa976b3t5QdgYOz1wAeuty2PPqSMKamMt1XWf/8g/oOHyAUIep5Dt9J2Rc350jp9f0lMhKcfr3/jcethFmdByOZdSh66qN092UoKE6ks6RSEQ0nB4JSZIoHeNBkkXuQ7TX/v4p9icrbXHz7mj6PQBivRpddXFWPtbK7qV2un5ZMed3p1fCnWPtN04Ulwt/kXB4Dp1hA8PQ195vnCdNg2HGJWL+VYwis2oiO9QqlTS+891uElHNBoHyFSiMOtG0Zqtm+9M08cmj5AClvpkkF4LkwRMotux1gO5Ay8KQFupIomOBj+s6aiJONNhBJNiFrusZzGJfRMaMGcO6detYt24da9aswev1cu65mdC0/w75Z414bABGS5I0HGgALgUu+999pC8ucjKCroEki85ZP+Qkplc/S3MBBCIJPLlzkB2i6Z0eA5eum4qs2y/j9NgnzHjYz6RzryZ/SBGrnniA/jJs9gk4PG4OrvwQgE6/h5WP/NqWO3A06W6sx1tQSNxZi6JKqIpOIhFl46vPkfS66Pa5GVw2mL2GL+EpRz6cfDEnr1+FZIR9dQuNyfoXniYarCUaFHCsw33VeApEwtvGmZkkZboaRU3uY+tgFy4tTHf+KFb0SzTLKSgk9NDtJF6P0X7IjiMtmiy8mF3BWykuep5g969R1VrgivQxasLErZdMqaBz70GSZS5adpTZ8jlcLkFl2LJnJ57cPHRdo3HbJsafcT6yXICux9F1M9riLYqheMxZO9LhJW9YH8dcuwctISE7dXrq/ETj3fQ02kPy0Wg1I89y4lFuZMhUcwGJh/oI1h3hpSFrSRboJBVVxH2NCWbra39myEVnM2Xx2+SHoD3czKRanUm19ahZmEWzyQ9H/pAlrUuI7dnBLzu+zVnTruXF+hc55z3zXeTHn8jA2B9VPq/qvEVeKH2bOX1TqUqU05hQaTr4DsP1s2zsbm4L/3w8ZC4gL02/ixvWZublADQ77UaJrMIZW+YxJH4uO/1mSD83kQ9EcMkQqM8hpeq4c/OAKCWuEmYOnklOpUJs98r0ebrWjZSl8JqvQCHcpeLyygye4uXgqsyaIKcmLrD9nVvuzFg0EiEHECSuvkc8DH7/19F1MY497uP40ahKasLdFBq6x5VDruTF+hRjmcR7PS7+bbQghZAkiaLhos5Cff4+SkMDF5oq9w7nwi0mecRxteYidM+R7/Fg3iPMCF464PlWcSXtCmav3w4zyO0V80LYDZ9XB3FVpzC+dvbuZLB3MCGjzkBtpJYKT0UGteyA4rUX2YyOG4OrUEE9ZQKKUbC3uAcW56/n7K75VCSyM8mc1D2LHzVmGWRJXbB5/i8lgkqGEpXN8JB7jWTVXVFiE/4xVJxPHfd9dCO/aG7h3AGPGzkvJz1fOzwDt43bKDxaVOXiuhHX8mSN3XFkLZ4IUFjpQtc0dE1jY0sHuMWYbFN1pJih5GKPIKZEdok+lFw1joK31yPrR9DfE46QwJsKOR8oyFH7s66fKAz0wQqMNRTXS30SfwzDpoTOtQO+GTYmysGdQonXPR60226F/Hy02jp6wiGaYwtwAMnoGka0dnGotIANIyo4ORYjEY1waNXHHFr1MYrh9Z5ywWXsW555v1ifBnoBYxadyT6D8v5o0rg9e55S3aaDQBGRYJLaTSH62vpIxiJUv/4RTTu34ckXbHPrX7AbilsWdzHj0kLW/cncLjsk4hGNtRY2qeo3M7+PGt8DmPkoiYjOyHn+9Hzq8B6HYsFAl44Zbzvf4Zlm+1vXo+h6kkTfW6x5uocTv/MjFFfK8MicfPpT5h5a3WerP6W4JAZP8VE62oOkgKxI5BQ7jOsZYzBVhsAyF2x97c8gB3DnXY0kuYgbTt5V65bT3pm9qKb9RTR0kjicLnRdR4rFQJJIyhIyErLL0ialpSxatOgoF7PL8uXLGTFiBJWVmUyA/x3yTxnx0HU9CdwELAV2A3/Vdf3zXff/LBIPoSXbCPTUsHDFtxk+p4S84H5iDgVPIsahNaF0x3R6RYeumiUz74ZiSoZvINbXhOxMddjPUBO7aNwe4cCnhcQGYGIYOvM4Rp24iNPuuC+9rb/RkVMiogen3v4r5n37B7Z91X9/mfqCPnQJirtEB9635VOSUTEhhV0O3JKMw2NZtHSdwcMNul0kmGV6762hz5SosV0Z20BEe2I9T5AMfygobhM1aMnMgZj0emk8nNllq075BYrTNNx6+55CM+pmyA7rJGIyjAye8z6Tr95PTWIaD5xu5xuP9fXStGMrWxe/yNrnHmPzK89Tt2kd0e4gbtestNGha+azjD7XhKkVVh6b/p3CbOYODdHdUEciap/ge44ECAwJUTzW7jFsPyiSoNsKDMVbIoPqs9coOBQIg9dqh2Wpp5JNpudP59bDM7n3BZWHn1Z5tvbZzIO6Bq7yGtfiPHb4MTYHN6e3+T85Otf+UwfvsP1944h72Jgvzg8eXEB11wrbfoelEFbdJ4OIprq/BGP2vZL1HgURUxGd2zOVwe1eSlpriQUfo6zLVD7ny2YBqp7anPR1S8uqAKiP1HN2+dmU5dr7R7wnO/3wlPPymXhWHopTymBYS4l/r13xH3OSl6pZ9jZOhPrBC+KRz/NcAAAgAElEQVQb079luZhpedM4b67Ix3D5Zap8Ven9xa5iXplhbxeXz8+C79/G1go7+UDIaV/0P2lZzECyw9FI4ECpbVs2L5uVbtsqeZHsSvz7M2TWj5Ho8YI2gE7aHheKSnfSzqJ359470/UkvpD4fKi3mnWRVr/wFPs+eo+oZZ5MGUEhJcJuC4NV+j0cedzsyKzyLL2zhPy/BPFsPcrY+wpeyS8jKcMjSZKNLz1HwzaTkCNlbMRH/WPyuDq9TWmjQ0Y+qvGXSjLXgVPaVVZEs69hg6d4yRvsZMzCXFsidEq8sjdj2we/vJUPfnkrh6vNOeiNiMamV8QYdeVmTwBWnAIaU9vzb6ycb0CgDONA0iXksKUw7OTJtnO/31qTjgQrhmJ5YABujlioj+UP3sMHvxS5IRPr25haJxwo2s/ugKIiUBT0yy8jWWIdX1Ka4RGgfv1qNr0sSCUkOReH9z+Q5AI8uVWA8Lr3l1CnyvA5JxqX+2rfvatOEEZEezQOfxait9WBrgVo2rH1qP05HtGo3xbGyn1Tsy5EV22cLHw4aZGll0iEllA6yp7f4ytQcPs2AODw2KONDreHU2+7l3Gnn8v0S6+2oUcA1PhOYsFH0JI1RIKdbH3tJeo3C2dGb3MHS+/+CV215ljvX8y2eXeUZMx811EniKiJ0yvjcAkdIGXIrF9zkAPtR7hs82UsbTNRHinyFneuvUbKlxIjecQ27+o6sq5nwLO+rCxevJiLL87M3frvkn/WiAe6ri8BPt9U/yeUjsYoslKGM9lE+MxzqF3/FHumCtzw4M4ecrsP0dOUT16FC4fbjSTJJGMRdC1J3eZPadyxnkU//jmTznaw8UWD7SXHj+wYyuZXPs56T29edppMq8iKgssv+KG9ufYEpWQsRsOkAFe+VUlbfoxtWjfjdpsWdFJRkLZv51RgyRThQb3juUcp3bSDjsIJbJvybQrfayEZXs7Es8/Pev9E+H1k1/gMarh4n70oYDK2GV3NxFP2tbcR3xK2nT/u65l+pmTiELouvCM5g1fTunU93uIhJLpEd9+RO55jEAmtF04cit9nn5S3v/lXWwXxVHTqs2cf5dgbLEl+nT+FYgOSVWAucA6Xk0QW/SMS7EwzgaUk1iOUzN6+Z3A6ZrH7vTcZfdJp7HhrsW0yGeMfA9ijPJqaJKEISt2Tt1l21ByB4VXC8+o6OuTK+YxZ6yO/TyeYI9GWCyWpNe8oq8Su3l2s7lzN6s7V3D/hfqr6BkF7C1hQgY8e/gnfGS6MYYfuoDKeWW32kco/cEPDw2gJH/u67exliktl6IlN1H0iznun21TKhzSu4s5L9uFL5PK1Hd9Pbx/TdhJDu2bxp1m3MSk8mmbVzI0KhCU6CqIUdXkoZiQgFBaHVywMI06czKCSyawLruOKoVeQiGjE+jIX9bGL/Oi6hmTJJHTnKLgHIMyvnOGjdlNmjZADK1+neec2Zv/7jeSUCAMnRbGcku5uMycjheWWFYn5N6UUFTNkf/uY28kmisvN1L12xW394Fc5qeZ6ALaOCpMn1zN+AMdbR9swxvRL6W7ZvZv8IYPx5JpzT9hCz338tiJWT+1gRMdUTt33H/SXH1+tMLSzkB1Du7jmZgfoOuVd8MhTprH5nesVWnpE5/5709+5uMK+OK4Lrsv+wAPJ9Omojz9GeOl7JI7soeazT6j57BPm/Of3KHjwYTwGEun2yscoNb77IsdcPkwK+KBbdhN7/HqkY67EOdSEeLiXH4Bpc/DsjBKdlqkgO2vj+D8JEZnqwdGaJHRydsjdf0UcRh7F3k/eo6NlPx2H9jN4qqA61t0S+j8gEFM500ftxjAjznJyneM6VF1lQfGCzz2v+Npivtctvus9vRoLssC2wj6Zyefno0gSOUlhyMwumE2lt5LFjYvTbFjhrk72ffQeE84015nVs05O/86Vzchwy5ZicgbVocbkdN4dgOLKHItWhin11p+i3PsrALQ7fwbVZs7YtDtuRdZ11NeEoX6KW2JZTEfVdRRJQgppuGrixCa4Obx6OfGQeV2naplPy+wkF4my0jQBiyQXgl6T3rd3hVlbR3EfgyT7UDzTqX5TLDSRoDlmSse4ad0XS9dRqZpzIkfWCep4XU/YqlxHg0/gyjkP2SFgo4nIGpzegaNX/SXe+xquwEVm21xcwP4Vvbj8MjVrM51QiQGMzpSEO0UexLhT51G/5RlcAcEy5s1TcHq6iIUxor92J4gkywybNZcjG0NIcgg1cQTFKeYrLW4nr2jZvR2kA3jyJxNsEE6fhurNFFQOB0hH5zx5CtFulfyhznQkY+r5+em6MlZJQbfkmgKWRj6BEfCnuj/R8Nk7XPdiC0tvO4PW/CiV/XSfpBRn3uyTMq7nSvSiI5Nw2tceLdmCw+PBjYSjSziOEopM2OUkr+Kr5VvE43GWLFnCL37xi88/+B8k/5QRj//rsu7TAMh+/KEmgl4lneAF4E6q5HcfYOvfRaeRJAnJ4aFucwdHNojjUslC0UOmpzPR9zfU2FaQs4fJZcWwIY/ioe5pbiRh8JLLDgeSYleSprwlvDglQTeLNtoHdsRS4Xxkq3j2E7ZtZef4q2kYJOp0tOxaTeve7Sx/IJM9JC1aZs6Arjb2+zvT6JCdY9E1lViP6eHMr8z+rqpmJnFJipiwI+0mxGlLhVlt2OPOZEjqHylyGlSdiUiYSJc5wbv8xfQXj+dkEok9GduDu84m0h1EjccZOnNOOjIVPCi09HBTFa17d9GwdSMrfieMmYhb3MsXUbigcXrGNXtbmsDj55z1OpevsCyqt9+OcvkVyN87SnGzhgbku+6ybXroaRV0PW106CUlEBnYg2utC9KV6CJnaTevz7Lz0pcfP4HnD4j+cMngrxOa6+Px8Y+n8doDieKezrElF1Lauoii8UGKxnUhKRqbOoSRePY68b4RRwctgRrWDXuDnEG7kR1isfMmc/jlpofxNU3DE7dPc1XF4p16aiUK8p6mqPDRtFJSNfsspuRO4ZUZrzAhZwJrnmsn2JD5rDveuI/dLxmRj1gM6bnnMvJhZl0u8OeVM7tp2Z0FDwHpKsYN2zaljVJXTma/AlHQbCB5ZcYrvDLjlQEpWBWngwlHTK90S04Nc7aESMaEQlWmnUuDP3NBPZps+/trrHz4V6z9wxMkolHa9u9h48umITu6IYcLBl2QYXQMahLOlLAH8oIyv81J0U1LtObD7iGwsxIeuL6clsJ+tXnimcnNTdGBmVXWdq1lV2+/SGtZGcFp9kJon330DnsGg8fiIG/NCZEb0pl+0HTStMXaQI0T3fScjc7UMy0LpbhFUpFA77YozqYkcnd2atavKjkf9KZpfXu7zflT1zVobIRNm5F08OyI4jwch6RO24G9LL37J8TDIY6sX83Su3+Cmjh6Dsjw43KYf1MpU8sncFLxSSwqWfSF6gM16xwVgtariUJ8fzAi+n6Hn19P+DXXDbuO+bGpPOD+MS7JYE1652+07B54nXkmpLHq+DOprRhOb4Of9l357H/LNJq1HjkNtUpJ2GtG5PTjZgsD9dFHUJ8VlLv1brEGTDy4FznlcTZYikYZ9Yp6dZA++oi817vxbongPBgh1m9OKOu23NfiLFSTOrs3maQGkpKHu6wMOUvisMMjkAUOt9mHC6tMZ8WQYwSKwqiRydhFZzL1IuFpH7vQS7TrEdT4QfIqNoAeJRF6P31uUu/k5TlhOl2ZbIvZREvWpn+PWRggt8yJrAi4Urb8iYOfZsJPc8udDJ/rx+WtASB/SCWSLNvg5548hUSkG03tQNKzM75Fe9S0saM4h5EIfcCgiSHm33xr5sHGtZt3C2RBit5WjWvUbhRG6bhFwjngzVXSkDApC4FAUkvSY4H05UVLkXSJGz57mJEHRHFYz55DuBOZTkCnqiFlce65o114opkECyCTjEbTRoftlb5iRHXp0qUcc8wxlJVlXzv+O+QrGR6SJJ3y+Uf964qWbEGSXLjiPWw9sN22z5XUGHXIXh9CS4RR49s5sl4wCDtcbpSLLmbHant0IxlZ8bn3Vq69jsp2E5Ig9eN20zVzwTvxph8x/PgFX+SVOFyaT0KWCbkcuBNJfvjk7RwaMpuWslm0lxiKvPT5iouuiWcbPMXLnG8WUzE50ztoFXfedbjzb8LhEZ47tF60ZAPuwGb8Q+wV4Avy70WSTE9i3SfltGzKpJ5bOFRUwK1um4CimAtOpDtI675d9LXZ2SdcOcYElF/AvmWmhzVQVkFerj3/IS/3uwQC19u3ef9IMlRMIhwiEQnjcAnlecJZX0Mzkp09ZZuR8p+wnZc0YGIz9ubTt/8wilO0b+lY01jamz9w+0lthvta19MY75TIL7yItMOOXvTFIN+yLupjxyI1NWWE1HVNIx4J0xsyDb/ueDv7Fl3DHzvM6NHlgy8nWeagKL+U55WHOLP8LBIj3BT6CnlyqonfHucxEi018+YO74lU+UdSsv9i/M4L0FwauipzyUeCc+KkbWKy/vNvVHJDOlsqljNm7hY0S+J0XRyi0RwGddhhIP48oVy17N7O/g/X4HBUoiXcgI7izCWpJdnXt4+uOqGFSpJEbNCVzNlvGq9qIkHd4f1Ir76K9PFy5PfeR/q7vcaDr8DB/JtK2bfsObobVqcVVdkpceyVhcS6TSO6fvN6YgZ0rnLG8WQTp2Ns1u1fRCRJxuF0IzmEobOrwIAdamKRHd41hUU13/tS13R4BDFEd0MtO95ezOa/PJ9htB9fYH+XWRvvY/xeUck94oJdVT3sWPwKRg0zNFnizisd/PxyB4tm28cRwDNHnsnY9p87/zNjG0BnvJOHDz3M3fvu5rJNl/F289vpffG+TAdI1CXhsSSHjqnXefYRlZkvm4VBdcncH6v+S9b7EteRPsezK4ePsj8UgjWfDby/v2g6jlYT6xNXTThnPBSi47afotxnQnD9q0N4N4Wp+UzkLfU2N7JnqWibSFcn1NQgPfQwbNqUhh/1l7Cm094PC9+i6nwQ1YhnUYA+T9HoNm7zoQXSUumtxCt72fjiM2x//S98dP+dSCGNKj07/bpVPps8l1fP/Sa6JlP/6SCinR46lpfTWX0Ke94dTtN6O1nL2tl3pX9rBtNPb1k5fbl5fKsrydWFwhu+c6RlDBo1PlJ5zxd1qCzdYUbKlaeft9XOOnnHYZQBlMODn9r747jmKNKCkzjlPHtqq6cge18vHW06JFMkAKlcBV3XCXUIY8RXkMPIE+eTCL3JuEXzDGiSqS/sHD2Bg5VDePbsTKhbSuKh99K/fYWmk2TQBK9xXwjWfXESg4ln5lE53U9Po6hxMvn8SwAYMk3oFe6AjCRJdDfWIUlekEcQbBRzs67p9DSLe62z5JkkYztQ4zsoH+/GE8jlhJt+yOiFp1vuqqPrsTS9t5Y0aIxf6iRujE2fwcDVZCm8qcYzx8OVW67knhozWuBSPZQFRXtL7tnogDM6mJxoZv0hTQJn3Prt4/iiqbCzhVrXcNha6ch1JOKuXJyqhh/pKxcZ/J+GWcFXj3g89/mH/OuKpAhcpJ7IZESx4pjVuIa2x0KRGxeGR7QnOCBiT42aHNaDpnwPh8dL8Uj7RDy+0RyAUy/qN3FZYBGe3DzGLDzdXqTuKBJ2O1g5fhi7hghl/WBeHdGuB4l2PYSmdqFG12ac01G+wPZ3yotRNtaDyyvb2CH6i8M7H0nOQZJcSIppjcd7X6W7dgUH37UXKVSUcnTdHMQduzMTgMdedIizRoiiYA1h+7Ot++MTbHn1hYxzOg+LbxQJdhHtNAe+0+Oxha3N5zDhRH7pMTyBQgqGVpnv5RbXGDp9Ni6f+f6SszldMA/AWSSe36HK9LU2c/KPf86pt9+bnpgBov6jG24A7h1Rct/sEV7Wjg6h2ERM5SQ0d0b6978vM+8vrxI4WOmpp2zXq37jVZb/9hdsfu/V9LanjzzN+ojZueflJDi7/GyQJfpOy8V9TBmyxQju7fsTz0y4lhEulYQOLv9uYt3iPpJSzNhFW0Q0UHeQU3AVq3vt3iKnYUfJwAUrq7im6STkjuxAa3/UhSQXmef6zOOCzXU8fOhh2pJTUFxugskgV265kjv33slT255PH1eXt4eCcIxJdXYskrT4NTDq2eDO9GilFjQg7WUrHLKK7obd6JpdSd/xloBu9DQJg86hDCM3YEatFMUehfyyoibiRNo+4t1JD5CQhDdN1GfNlD0lmWO5v6TYsABa+7HneQquZdDkb6QTwVOS02cabz1+ia7cBJqkkxuye82LXcWM9I9kcsCOr6/uySwWB6IifX+x3ltH5+UGk1I80tOdcXzcAWMa4folBiToRdNYn3LAVFR3DC4mKUtE/30h3UMyUw/z/xoUld2P4oE8WsRDuepqlAcfxLVsL54tYaTmLnzLe5CM4m2+VSHy/9xFoinIqiceQFphRji0vlaKGsw1Zf1zj7FxxCCCXovCoibgjb8gJTLHy4Hnn0L5wQ+RV61C+dV9SB9lFiV9K6JxfZfKZZ0qzarO8yGVnwRVLu9Uub9X4+Zg5rulaheWyzAli3+qz9ifIkdSdZ0eTUeNi/6Z5yzGq/lwfNzKaHkKBS5zPcgtH4w3HmXajrVM2b3Rdt01M00YS92+Amo/qyfW4+ZwfSYs5eMFj/PxgscJJ4QS/+NulfM7VPZZmunqty15UE3NkEhgzZe//7JrRPsCninfoCpnEoXuQVww7GY8DuEU0cvL0PvRkIY67W3WUn4C6onzBUtkSiwVzDXVdPqkoh3jTsmlfLwH2YjApKILRzaE03SvDo/MqPmncNod9+HJzaOwSsCm1YTIUdw9WkRRYpb7+vJF/SV3nka063c26FK4s51431uMO8U8PnX/lAya6MFXYEdXnPitEkrHiD7p9JpMgcWjxuIrEHN14TCxjkrsoadZ6FKpkgPbDMTI/hW9bHmti8Yd9txJXRXzW2qt9RUUUTWnH/uXnsDhmYHinkbzrmp6mltt1cwjn66kvxQMFW0dVaNE1SgtMeGklFRT52r31zO+0dRNWkpnkQhdiMct8vKCbtOxmRPqxB3vxhNpxxduxR3tQEmY7+KK9eCOdaNrAv4lKeY8FPaVEHPnE3MX4KjILNj8RSQcDvPxxx9z3nn/s/W5BzQ8JEl6a4B/bwNFA533ry7VbwWRZQGx2FVmYvLLJwjqurxiMWGWtG4mHtFIPG5WIVYsMIKV4/oTotvF6TuDrjqFWVfeyqRzrwJgXdc6Ink+pJMWpI/z5OVTPMripcliFU+/9GrmXPMd298pac8z3yGhDESZqA2YcPv3RSchqF6Ma4TeRtdVAmViokopZiMXzMVTIO7l9ItVKIU7FY8t4QqYDFUpyQ2YnNPuIxYlvCMzlwBAUkxl4Mrpc2z7vggDWDLioHNfLj37hSfX4TBZIFLPIssF5OT8B4n4L8gpEd+xeKSZG6JZok5zb/i+TT8pn2H2gVHnngOAK5kqviYLz7XLxUm3iCTtVq+L9ycPpzlPLGraSf3wopqGoyVJsm0v0toNKNffgPzoY0i7TPiJ7DG9VsXd4mEOf+tCdCO3Rf7Qrnw079yGM6miSuZ7JJF42TDK8hSN8/ITxBN2bK1VwuG/E+p9GL+iE9YkFJeZnK+r7ZRXiaRIVUryVM1TdiVOF9EZsd+4/5ZDSB29uHIzIQJFfYVIilnXIBEy+0ZfYyPjXmpCqz6CpCj8qU7Q+FZ0j2LuEUsVY4OzdlDQ7pmsKwwgfyAMWWKZFXuX/crMuVCNBbt+8zq2/e2lzDYxIJmHP91IXu4dFBb+Bq/3JFyuafj9l2dw9X9VOflTiRO2i2+uxjZn7K+pWs7C+VOM/W9n7F82xIQuSHI2mm8HEKCrfhA/2/uz9NYDhauRsrhUen1JFnqFUlDoFN+pPd7OXxr+wq1jssAkssinnZ9mbEv25we1SLTbDtOsHtlN2NDrTt6m4+5Hizl9XwFzqwu5ekkBtcV57D3/TJgwHn3BPELSZkIf/5x4jf0ZXIfieNeGcGdhDPJtjKBFY7S9vx651WL8WXJkHKu24NkZw/f8BlwNKnmLu0HTcdXESbbtJvnkU4Q62shrNA3e8GePMK6pA6dB1xo2DKy4QyEyUmxL1HxCfP/7VByoEe3Uad7T2dhsf9BWu6Hdouo80qfRpAmG3is6Vf4c1tlogdXsy9LsKZ9xnmwWvrRKjzG+4wij7JFdUS7oUNn6xl8Y5p/A6UO+yVlDryfYJJxzPqPmkOJyMfuam4i63HiiERxJu6d9zcyFHB4yit/ccA+PXfVTls07m9/ecDdPX2EnV7HKhjdiRHQ963scf9LxaMa8rPzsZyjfuIwiC5GErOlsjUn0qjo7Iipe/+mcUvFvOGU3SulE1N/+Fu2BB9Du/7X9/Zvszx3KGUzNXgcopkFePMqEVg2aaM7ZqbuXjfUw9uRcC2OTTt3mEEfWWyLJ/RjPZIdYh5PhZSRjO6gtNu/3wkkB1OIjdB5ezhNn5PHITB3QcbjdNhIbLXEAPWnWe04ZFAArFgVwzMth2LH2XAVJlhi3KJcxC9qo27SWZEyMgaIqE25WNm4U0a6HCNa+w2fPPEI26TBob/evMOflQJkD1YCQptAFALKFdXP+zbemnS5O30n85oZ7uHu/Pe8n/+kn2DbMbI/pFxekSUO+U30T/kuupOO53wHw7CNJpm57FICJLfMY2/Pt9Hm7JlwNgGLAuj8Y+zx97j4SNCEbc5QzGUZRozj79V93PIgr3o3DQvUoGWNFUwzCCFcAtbHtK5FX+Hw+6uvryfsCOcL/SDlaxOME4CnggSz/MoF6/18A6DwSo6xjL96wadUWjxzD1AsvY8HNt1Jca9Rj2PUc0Q/W4mvazySD5QJLyDNs8Z4u2pVZeEZxCwq5La91sfb5DnRNZ8WyB/F2h2nzjmbc6VfhcHvwFRQz6ewL0+clwplJdWAyXgEUjRzN8Buv5M+n1vLunOY0FWb3gi+edAageI6lxyvz5GU38/58MxHwcGEnXWqSHQmdnSFjSZKbGXvhIaZcs4fKhUeQHZVISjGe0t0M9sbwFB7OSmHaZSGeyVkTw+MURZ6614hBPmReE+UzzcXT4TaVZbkfS0oKUgWw4Pu3MebkM7K+V+3ywQweL4ovhXUfas5vKS15Ha9XIBAlScLvOw+rfe601BAoGWVGmNz+HJst6PCogE79wiI29IpEa08sU+F0+SzVo2WZzVXl6FMmQz8GFozvHVn9ADwjaJiljXavoKfVnFwLex1oQMPkoWjP2RmDumoPs/Rugcc/cW8d31gllLfBXfZFpVuVcUrQ1fUTWlrPS3uzdD1BKPwmCQutsV+GpoRMPGmhky6Qkdw+dF2jr/olVnSsQLaECufshudOE1NXW8DSDjt2kDcsM9lY1zqRJA/ufFGYsXPf5RnHACQTMYZ8cgI3fPYw5+76jm2fpIv7OfrxrO8YWkqPx4UGSG9nL+aZvn5kJYGy7BGG/qLoE9Jh9YL8u8jxf/0LnXc0mXCWSeVrEBJx0i234S+096+PS5YyurwKh+MlEmHzW5W6JE7+WkHaaAFw+s+zeWIB6Deu+lxB9JwYu4pFhGz5ZIkffFPh2J1iPL8+v5G8peI+nQkT17y5WxhFlw++nAmBCWLjAGvrkzVP0pu0G4V7ejNzrQ6FxH1SnnSAraOCbB4bJGpxLr/4gN0D7VA1xtQHQBdzRFNzfboScWJ8AVpPA3KOHSPt+yyM+0Ac77bseVIHXn2Bir+9hvSty1EuuhjlootJ3G/SPcd2/g1dTeAcYrL4pJirIqt/R87OjQz2jkLTLQ4AA7Zx0rXfQ7L01Y0jBhFL7qbbvwo9ZizfRgRy63smuUd9kd2QlF+3wwdbv2C5iv5481YD9pMnS1kNj50WwyXnw17eLRUfo6HmMOPzTQdRJCmcQynDo3DYCPp0ATvxxMLUVgzPuPZrZ18tzvX62TrJrBt1JLc2g9gkJee2Zjdai4YNRT/7bNu2SU5zbhpXH6c2rvNxb5KDMY3DFmiOa8RCqBoGbncG6YfXqAty7JXmmhGsi0M8TmV7N5Xt3Yw2uvfkc/Lw5pljLtoPRqtYIg6H1tgjjv3JLyRJYujMOUz7+gUkwx+gWXIYjpQ6qZ/oRwc6chVai0toLB3CuNOE4TXcYNYD+/cOlJhj69MiJ9cFNUpHexg934zua8kkbft3Uf36i+x+703WPieYxRwWymuR62rvcBJ/Tf/euaTbFqFIyfSLCxEmrGC8ssqxV93AzCuvxRPIBUu095bXuzh7mx0KJQGnrzWdCSlnKYC/Q4yhyR8fTG8r6sqcb/pLyNlLW26CpCMXXc5Ee0gDzG8uS+Rccpaj91Pdw478/3bWvH+kHM3wWAuEdV1f2e/fCmDvUc77lxZJ6yHp8KEkTO952fhJALgDueAxB1bOW4J7v6hPeMTiUnaPuyvRx9QjLZQYfNWevGH0d35WvxXk1r+KQbgzNJWadUWc/KO7cHo8uAO5nHq7YMapmnti1nt0WyBKsqwwKL+SpENHl+H9Y0Xy5os5pndUdgxcDwDAnXctr8xbiqZIJAIeto+fySfHCl7pDaOS/LRb5Y66Du4zYCUJ/VODE1snUBHBFbgISXKQe9xzTPNLKK4+JMnJqPPtSVXb//YRJIeix52oukrZJ6fg7qnkcKPwfBeM7sFTKDzRuYMLbfSsVphUIhJO476rjjsBd04gMzRryMIf3omvUCwQP9z5Q27Z/TPWdq2jM54tGSx1LzHU8iqG8mDPM/zu4O+yHlc0Psgx1+/hQ89mlrUJT3qez4DuGXjrQ6uWs/v9tzLOTfz0p9BmT8yXVq82XWIDiCuu8+TpYoIu6hMTXJgo+P3UjxGh+FhvD+v/JKBQvlgCd1Kl3ICLuKL2CW9Bjt1rE4utQ9cTtLZdRF/fHwiFTGy8T9ZRVIlQrangjj4rDzZvou/NG/jLEIF1byNKc9sAACAASURBVCk0lbep+yrYV+5EkyDqshSq6y2kcNx7lM+8PQ1F0JKi7+p6GKfvBNz530Z2ZE+i63PEKQ1l5zFPRTyyNeWqsUN5f+pIVkweifyTn6aVSP2aTOrEtj2PZblCpnQ3fbHkzi8jQ6bNzNjm8vkZ49ia/vu4tXfiSYjxInKdzPEy8soiGnrE1J+Midw12VGCw2Mv4OVwm9C9vEgJTtWNUhHhuvfEtXZXStSWSngS5rfbU9mLo1+xt/Z4O/KddzHhheVcWmHUDzlKX75um53m9oV6AZu8dbQZNekxFNek1fAYIxw+apbV8MAIYdj6YkafNrwE8VAfWxcbtVOmT0e9687PjUhFpnoIXppPokIY+n48aFbPCeA5eMj2d9/b30aLmNGZvMV2iNgI53Bk476vHv41cUPhkpqa8cUTSLqOwzCQIk/+HvmlF9DCIrKW56jI+pwhV79kcdXsA51ZCpxlkwNJWNSW5Lk+ce7iiDgvR8oe8XgpbG7ULIpz3tRZtuKECU2836Ty+Rxz0RVMOucieo1TZ5x8OkXBL1APwZAXzjiGiJR9nHkHKASXK0uQl4cuSyQVD82lswTcyqgbcuFnA9OJKwVVR4XY+QdptsKjva1JGDuG8U3dTGpoR90g8rMcHtlWqC5bEnf+kEw8m8mCZ5cJZ5xHyehxHHPJVRn7Xi0diWqJurQWDyJ/8DDjvuYYatqxJf07WJc90l0x2VTsN73yR7b89cX036lor9Njd1oMmW6fW1w+iXGnCKOzfy0vgMQ0L32WPppipExJQWVVOqoiO0yadN8A33vE4bfZXy5zeJSIoGz7+ytsefUFHrYw741q+OIKv0wunYMfBMAxAPV4NrGxoQFJRxaSoa9Ywfx/QwZ8Ul3Xz9B1fbkkSb/OsvtLZL7964iuQ0XjGhKKm3btbct2S8e0WPSeiFBUU51KkzInpalHRLRjcLCPke+K4oCJWBl6v0OD9QmqJ11PUsnOeiVJMqfdcR+jTsxeVKYp2kRHbpzeKjE55CimNe5SRYL2sbsFDMKhqjiVo1O3HSzeS9jVwzHqWl7OPcAN7v1Ujxeeu7yeTia/8wo3vPRbrnpNJFRb6200K3OQh22nbNpLrK8+lpVJF8fkqJTPeIGcskwGm63P+dn2x1G8VvNbwu1uGt8yFR/ZqaWjHLKci8/3tYzzAVt9jbGnnAWINjv26hsBkQg+71u3sOgnd9smx1RtgUcOP8KDBx88apucevu9vDmnnn2hfawPrh+QhSLZb/OoKcLjF+k2cK3Ll1K7YQ2lYyfYjlv73GPohYW2bfIzzxL9fSaVKYCcJ5RsR+EIRteayrgMhFURKQn1CKVnpcG0BXD8PjOsfsxBjdwSO5RkXsA+oYYj7xKNrU7/HYubUYmEDsMbzQUpv3I4g4f/GGn7DjQJ3pgrpqjDg8IcGCy8TFGXk3M+G8Lfjy2nrtD00AZ7/BT93kHNskLiPX8k2vUouibaLDDUhyvQnI4iOHPMKGBK+he5A4g4hDG6oHABAO05A+fURGT4jAhLpo4kKUuELX2qbNykAc/Leq3gwOx0X1X6E00AoOsU/PVJTvz0FqZs/z2+aDvPPhRHuehippWYcE/ZIapO97YJKE4ybBJfdAbsCoA1MjmmbRZu1YvH7WKC0W0UDSqbvSRlczFdO6kzTaZgla2RXdx2ciN727fZPPjZZPYe83p7+0zfmFVxTeWCqPEY+UMqyR89Kr3PmUUnHP4NkXDvi2cmy7bt38OBT8SczKRJ4Dx6rQS10AEOiWSJUIbmbsmEuaVFNhWm0NKBC3iWav0gLKkmqq0l5HFxRvUhTt1Rg6Tp6XUm2SKMRqfxToqqMb6hHcXYf6TYDruQVn6S/t35ORGPVP7GjUaexysRna0Wr79H6k8KLsTq/19fbr570jOfHKfoTzE1jMNwFrkSTsrGT8Llz0nnheS7nPxixmROdku8WqhwlS+zv58l27/j4rOuJhp8OuO4Y/fbo1TX+2UeM6ISKAoEctk7+hJ2Tbia0J5uHnro3gE9zj2WJPzct3vQNd1WCTvYECcSVFE8Ytv4U805rWFHjJUnPsTHCx6nesq3AHC6JVsF+KrZWfIkv0KecZ6R63mNX+ZGv7i+rOvsGm1CvOQR49gaKCKp6/RZnFxt+/ewq3EzSS2JpqlEg0/z4Hn2atsAE8/KY/rXC+isMSMFVrHmPAI2ymSAktHjCZQOzKJ2/0gPNwVV5lz7XcafIfIWtBS1sqqzOqbRqOpcMUA+IEBOx3tM3yLWcne8mwVr7uedUZO5ui3Gg6NmsaelBdnyqe99QUU3YOjWRHFNy0SqeA0j0ReNkpeF4CIlCUWm2+um12OODF/YbO+o1858mPy/Y3MAXyy5PBuDVXYMyr+4qFEYd/AdYop9chs0yUzCzDYhRAMDV4usCJqotoJwFKf/bJtH0SrtxVOIuc1FIxn7gnFxIKJGeHteE9MuEDAUSZIodonOPaLTfr9jarvRHOakEsoRC8OBwX0sXlDPinkX8umIvwHw9Y6l9Oql/G3/Lwi03oAuSSxYu5RRR+xhSeegBDUMp7TkDW7RfsDPj5tPqWMl//78Cip1meL2WYyJi3byFPaHLpiNuqzxT9SFzGsX1C7C6Rffw5uXj9s9m2ySNPD5I+YttG0vGDqM0+64j6HTZ+MvKkGRHWnLoL/hcDB8kG9s+oYt0fWpmqe4ecfNxLU4XYkgNZGa9L49feI5PZ4FtuvsjNg9p5oBR/v0sftt21v32mlC+9paqM1xo116KeoPBsYwp0QpHIH/jN+ilE3mvOEmVevKSRIvN7zM00eeZuM4YVgdGmRG45yWRfPqDzVGFpuqxInbSgkusecnJRLbIQvePjfvV8zyqzgts+ax/2bUZYlGqLdmkkmwfYR4BsXIkfFF/fQaSbOeeIKY4kDebV2UEuiqeP5BM9+g4jjBiKTpURTnMGSnkXcjC/jM4B7TOBizMIDkSxKeIBLHU4VyO45ieAAE/cLw31JZxqqxoh1KRo2lePSXY6SKhwZelP4rMmrBKWkF6ZRb74EWsTg61CjFHTtsxw76cAUAI+YmmHWZ+BjhdD6AqaWr7mLemtfIsVddj+yoRHGacJcpTQsA8AZMD2x7AGrLI1xwzi2f+7xHDCftSx1/Q7dg6b+2MtNbf8vrGslIiKSW5K69d6W3W+lek3qSZW3LeGzWeigO8NBoM38pm+FBVRUA7kR2T/XBlR/Sske0W6w+MxHbKppBf5SoPHptHYCcMwd2YliZCfWkMG57JGGoug2niNTRYVOE8yIxk9gkIZwK3v2CQKCyo4fh7d2cuFf09ZoSMbfrUwRsU37CZNvrsCjR3/bb1QcZOD1LfY4fGJRVU5zgzhLx2BjXsAIQHykzv9d9E01HWtDn55qvzeeA0Y5KZ9I43yjSKksUOR38NFehSJEYkUU/vabAwyuFCrONXIemsqGg9xHtsrf3CbuiXLu0m383nvtin8w4C6QKv5/eXLEehdbBUGk4v16SHbHQ1F5r+/uzP7Sz4SUzOr7tdeEc0Qy1oXSM+c4HstDPOhwag6d6mXxOHtMuLqBsbKaz0dFlp5ydd4OlgGdXF8pFFyMZ5CEpSQWdfBKc7xXvOqmnlWCu6cxaOmQsd/ZoLI7oRErt/bjuub9y95s3sveDd0DvIwfT8dJjXLt4uJuckoENh5xSe7FWK1NTvMTDpuFtaVhaNtEUiXoVcssrGDTjOK7pTHKqUbTy8k6VO3s0Xg1rNGvQOMeftWhpTvdK8rsP0pYv3nts7WGCeUXUo9AwqIo3T/1Gxjn7K4aiA76IMA6G1n1MUPtNer8aF7S9j58p9LPcsPldDwwZhirb30kpSRVmtmxTo7hj9ohnQpFoDyi05/5j8v/+p+RoyeU3SpK0HRgrSVK15d9hYPtA5/0rixqFoNdNT8Ksezj3uu/ZEpyyiXLvnenfU4+0MKxNTEQ5iQASoOYID4gEVLXUIWWp4JqS6kkmBeXqZ9pJxjR6WhJpar2BJIWPtlagfXTyo3xT/U9mNZxlO3b71B/YKqG+cVoZv7nhHl4/+7fUjHueDZOm0TxEKL4f0cAPdonfugS6K7sr5lve57lN+i2bLWHjA+8di4TE5n0CVpRfLxKnx3ythklXmx7Nqpzs3uSZRadRtvcKPH6FEWfWMuHMryFb6HatkqI99ORl0u9aJfBeL/l/Ed8nomUmjQK8VP8SDx58EE3XWNGxgpZYC1dtuYpvb/+27bhf7BMUfLmB79G61pzM1vRj+LEykfUX2WkPqYc62tAvuhByzO8YcTpoCYiogv80M4DpGnUqsjtXTO6W0G31cPGNlrcvp9RINi8wOMXLK8xEVICKTjghJ8n5+XGe7bmAEQ1e+pr81K+2w5l6eh9N/w4ezmHrU+P526Zl1ClX4DQyxN0Thqe98s9ObuYH19rboTuQwCcpGZM0gKuomKjLwYeT7BjvZFQUfpMUHYenl2dm30J14W0AOP2n4cw5H5f/HKMtBYQgnNPFoAleTvyPCr42bz6jT/BTNVmiNeDjYFlmnlE2acszPdHHnHUhFZOnZT3OipO2yoEVy+j5b4BbjSiq4MzqQ5x80tnIigNpy9bPPefgJ3/Ck6ugqSp9rSLikTvOJEvo8QTp9cm8lHzXVkwMwKmJeWLEuCI2TxTz1raRMpcOvpTBxSO4pOISsskYo5L8gfJMJf2U9aXkhZxM25c5LiIfvM2+0D77tXLGcNNwQfwQ0SL8oVYQeqzJN6lP5zqnUzA6i0PHyM0ae8JCciLCwJ5wlj1qunXxn9HUJNEDn/FOnYAj7g6uZfHh37DG/RF94/roHnkQNVdmzdMPs2vdeyTaTTYs34I76I+dlfpBKXZ2reZAj4iQVHcvM3cYDDjVzStw+fxmEbz2dhbsNhXeuQca0LMQi4xtizCkUyjMnoSKbMA51TtuRzvF4nM0jJh6w+Y50yPxNZ/MkmKFl40coQu9EgvdA7vai2QJN8Lw2J3QCaoq9Umdn3TbHWQH/GZbzDI808lihdUlDkJOiVeGiTkvsESsWc8b9KeBfreea1lr5h/YzYclDgKyRIkicXOOqfokPH6eu+S7vHJCDu9PM6Ov5UGVOfujPLUxgvvdbjRVp/qtIC17o/QqxYR9QkneHdVYO+w8+voyjVMJnUjzduKHV5j3i+pEutWMCtl6Ni04izj27URWJAqHuckty4RUAYxbei/F7SYDnG3KrBOhR+mDZUjvvpumBU5Fs/ySWZF9Q0EFYZ89qgbQpemsrDrCsll2r/7cHaa3qFfTKDByNGotTRNqy6zTBZB7zAScnuyIDYBXp+/j9ZY3ePTwo5RPcVE0wj43dPUzhFs1qDHue0+v2dbvGtDg9SVOfvl1O0JgxqbfMKG2lxXTZ3P9T39JNmkvKqe5n/Fz/a2/YvHJZ1J15H2UZJThNe8yt/hYol0PEe16lERoKcHEEjoDCk5LrZykoqDJCgeHDKPX0s5qVMw1/cesK96NrJrnO1WdhEPKOrb/meVoEY+XgXOAt4z/U/9m6LqePTvzX1zym7ayZ0iVbVugzM6upE+eknGeq8jscIODfRQaHm5dkqmvOIGVM3/FxwseJ+IpZtTB1zPOt0rEZ1f4dn/Qw5bFXRzOUkXUKh1xoVAWOgvRdT3tzXeuF8qYYsFxS0q+jU/6grWGYWJ4Fs/U3yTpEudVR+3Kea8jW6AdkkYI/ceWRaiuTHg1z9ht8IbrRtVmh47DraXjHDV9dk9tSn6uSCyih1ErH6Yk+bCoEp8loQvAbSSWFw0flXW/uL+OkqKK1HT29e3LetiS1iVsCG4grGdP5LdKWA0jSTKBsiGE2t2s6HWwN2pOajdW3UjlTDv7lmzB3Gr9Cn5Fu7v54Je3cri7ja1zprNk6kiWTxjGphGDaJp5LrK3gGRAeL9kSwFEKwwnbLGT/3Ki2H7ZSvFdxjfa81gSPh1JggWBJLvdplHXvqOQXS+PpL/oKtR8YEQCPmritYbXqGgTCumy8UcEze999/Gh12xbX1Tnnj8luevPScjPbhj29GbSo1pFknU+7XWgyknWjktS1LETSXKhOEcw7sxyXLnfRHEJD+9xJ5vGi/z22wy9+2qcN3+XjSOyM6UBVEYG5q2XVdX2zVJy7NU3DkhgAPDZs48OuO+rirxWoGTdDz2MtGYN8nMmM7q2MLOCrqTraba3ZffeJopWArO/ZuLBS0OVfHPD/Tg3DJz35fW4meYYgzZ6FD8e9WPOKRPG3uyC7BHIYqN6+/rxmcrcoA6hnIw7EmBMvd2hkmg4QsRSx2J+kTDspuYKuMiTNU/iU4Ryud4nDI8rh1zJd6b8kMkX34L687tQrYxDhmGvfPgRJ+6r5/QTzmDo9MxnjnR1sX1oCaFkkNePPEJ110o0NOJSDO13P0V+4Ne07d9Db0sTR9atItYrCB4kbwFK/lAC5/0e95TLcI09i5wzH7Jf3OEmGG9lU8cy/nr4N9Q1b0jvim4WbIJRtQ/VUqxO3rwZXz+6XC2LcjKysZGAkb8iATMPC8MyPmpkOvkcACO5NarDWAf8Z0DMUS5JolQR0Kbr/DIOSeK7/uxKkAJ4JIkk8J2gyuVNYd7YvCXrsSlJsdapn7yG34g0vznERZ8xnHLeNaMMxalps6sLWluRJIkqY9vN2+300CWWJOrdVePoLCjlQIWLDaPtTsLWfVFqa2J8cDjGp79vo6s2zp5lPRzOH5ho5U0Lg5PihKTDR3z32yR0naAFR7t7WQ/7LGxMvlJz7SsdO7Cz0nHvvWljYSBxJfqYsuOp7DujQr+Qdu1C/uPzyPeJ/n53j1FEr9/h28dl5oYFJInWeBsNJdmJE5KyQtgXAGP932FxKHYeMfOY5t1kFpztCGU3SDSH6IeqwUj5WddntE7czsQz8qic6SN3phjPr80Va7ui6/QlNH5wFDgVwHYDrtYeEP9PqX6CvN4aAKbvrmbqjjVEHYbO0a+eTZ9/EKpijg9PNMqeqpEUde5i/qpbcKhRylvihD0eYk6ZE/cc5O+nngyAO27qQC2FZiTKZVnLezWdvEiM3EimvqRbrMiUsSX/37I7jprj0a3reo2u69/Qdf2I5d/AGbT/4iJ399BpqRGQyhWwin7lFehFplegYdDxSDKMWnAqVUakw2MsGLKcz74xl6aPPTzsdBsdZdHwzw/Zdxp0c31tmYqRpgvMo6brdMQ7yHPk4ZSdrHuhg08ebyNpweY6vcfjyvk68dSEa2Gy8fa79Bj3MJCyP1vc8cXhXweGiFC2PnMmoeP96QRfgMJHHLZCidkkoniIAm2qk8KYeF4R8XDg9xu2c28vNDWlE7ed3swiPylxWwoJSWGNVxpeAWBm/kyTdcciW6JHX1QBGiLCqz146gzWNE3gjaDZblNypzCvcB6SLOM1wr5L7/4Jmpokf2h2Ja913y50TWPfx+/TGLa3z5aE8LKuH13F+5OH83HTy7xf/4eMa+SGzG/b6zPbXHV2ovQrmOowMBJFey7hQZe9BkqgdBLRLns/6Nxv91LP2JNLeZe4X2DHQVq+92+0HNpkO+aJx1XGNMKEOmw1TL6M/KzZzd8sbVvkMPNUqv/6OLKShyRJVEz2prnagXQdAyl0dMO9YF72yMXCnTWQSmTul2PhNBhXpl4gau2kIltfNh/kS4lFYZEftBMc6PPno95jrwbtzZLbACJpc/olIvpTEBGe33FtpkKelOznSbIEfX1IOQGOyTsmXdNlkCfTmPNGFUY2ZncQXLpsCAGXGKPuhMLXPinmnI1yOo+j5OONvNb4Wvr4Sm8lR8JH8FqixKn8pZTkOY0+6XDAxIkwQhAq6MOGpRM2JYPmVvd5Ye9eZl58JXmSIx0JiHR3EcoVhnfcEgnVI2EkA8ZZ/bJJOZ6MC2iU5DUjaK4RC3CPPw/JeD/JJa6nJ2PUh0SEV0fDlbSrhpF1v2f07q0oAxT7S4k/lv1bJi006cV9ERRVo6eliT1OL3GHg6hDIdLSjKoL2txoluB5kSIKmEWCXfT+4eHs95eg3tL/Ym4vkSMm1v/OZx7KOGdHnkJCAslfgscStf/Q8PTfM9j0+Hv7+pC/fRPKtdehfEtEl3+fL7PkP79JrjfTk55vTG1LF1giWP2Ms1ifxo4sxSA7iiZnbEtJdZWLP88P8PzCAC1uhW1j5/HR3PtY0p1kZZ+pH3TVxmky6k/4CxUCw8z7jD8lj9lXFVExycvEszIje/K9v0JatRppyXsZ+7AosFNmh2k+xsuZ7SohAyIrdfbLHwuFSOg6DUa3mu78fC22Nxmi3aD/f2VRHd1+e9/qyhM6Tm6bcFR8GrPqEpax6NN463hRoyNcmj16E75iGi+cdsS2bUXHCqJalOHH5fCXcV7uu6CA5kIHFzcnUCWJ84MabV8wCrB5pOgbOdPMvFV3PMas6jV4jLG2YJM9rdkbT6RzogAGdbSSHD7CfuHcAI9ffSvPf/07+GMJGkrFXOc2kvJbCosJWfQNzZIcrqbmnSzPq1vWkahL/B7+FZFWjz76KDNmzGDmzJlcddVVRKPZDcl/tPwfS0n55xZll6nMjG2JM/xIZiI0DgfaU0+ilwhL11HVjY7OyBMWMvbBx9DOOIOCcIzRHbk4PHMI9JoDTlXsXpCJZ+Yxf0EbC1d8m9nrf0FJ28CK7rbkxnSxm9qkzkshjadDGnf2aLwQ1tjSs4WAQyx0MSMsmcKepkR2DiFXEnSEksWwcPdj1Tg9UsDjG7J7+0u6zXd4+RQBBWguyN7Zlx1nMHCFQukCOinx986gosuOg5f6DdMup/CON6DhM1hVJEmhtOSvaXpS5d//A+U730WNiOdVXANUX4/reCyGh7c6ypwCEYm4sepGZuRlwjTe6rUzT5W7Tfzq/RNEvkZ9VNArd9DNu/kmfOyEnAQ/HnlTWkGrnGWPelgrxn4ZOTTvR+i+KJos0xatozvRxoomewXmsTVmVMGVMKeIrtxuVhqwilcvh+2jIVkq2jUqqbaqzkgSMy/7DxLN11O/qpy8wG+o/uNokhG753/SYVPx2jZS5ubrHTQU2b+jcrxgF1N/9EPyh2TmQwXKBn1ue1i9veNyxlFe/YG5U4+hGQWgKmf6UBNxdF1DevHPSI1NhF0OVEmQKjjcbhZ8/zbmXPtdpl1yFZWzhCHel6WQY74u4UmqSB+LROxhp57DoEkm5MrpF57R8olTOO2O+5h7/c2UjpuYToqEzDye/5I0NyOvWp11l3r77ULpHjcO9bXFqLcJJqicqFAoEtFMWGGgJPtYWVX1Gi9PNyv5Vh1neIB7e9FzMg2K+yfcz4ltArp1zqeDOP/TQSgDwE48CYVQzHyWlvwctJlzUHWVhAL7KrDlUb1Y/yI/2f0TeyHHfmLNAUmJ+qfn0e4VUAt9gulUkB96GOW22ym9/S6O37qXBSOEkbjp5T/QK2dq5IUHzGdxWwyGI+0GjG7S+Qwk3hN+QFOeHwlwJdU0O1UqSVwpESyHyaYtFPb2MqTz6HlB1hbdNdH0YjtUuyEz50AD72/dxk2VE3j8oiv4eGIVn/zxcT6tFdGQIyo2piur9LY2kxMSxkW5Rbu41CtxRfNhmg+YkcycUA87xorx8MYPrmXB5nWM7TGve2xHkrgi0eCVQE2StLh1farO8lIH7xiGxziHmMulFjv0x9nRgTcShiwQ2suyJJ8DqImarNu/qJz58WscLndSV+KkqE+juO/zFeD8oa6MEluegMLoBQGKh7vxGfT8xxi1IqQDB1CefhH/3nyk/tW0LbVgdhXKPDPWSwJYGzXaNtZvvVUUlluKDhcr2Z/3zVuu4eIloi5Rbdw8PubSePMEYTzoCIa6mFvMhzO3r6FMTzLYcs2k4fGfeuHl3Lv/XjrzEry6sJ638jbw+OHHM3Inw0TR+inWu3p38UBrNd+qW8W+eISEYSzN6sreL3+bA38rlNK5PQDLb/wG33n1eX5dn2D+N4twaWamUZeRy9ecK+auU1Z/QFmbCX31xqK2/Isr3nuD7cXlYh41ZNMpZwLQE8hH++U9AJR1tPHaT4VRXNDbjSdufotUxKO1oIi4EWnVs5geqb7Qa0RsKhQTGvdlpKGhgSeeeIJVq1axceNGVFVl8eLFn3/iP0D+v+HxDxTloAjdSyhMmXYz8uLFSI8+xv9j773DoyjX///XzPZN752EhN6bCAiIoGDvemxYj3L02M6xIdajHsuxV+xd7J1jAwUVRaT3lpCEhJCQnmzfnZnfH89kZye7QT+fj398f9fl7eXFZmZ2durz3OX9ft+SX4VeHAvtLJG53dW5lRVtOsnLaoXBgoTqVlz4kwrpTikl2VPP8M6vseqqKWM3PcOhmSuRWlqQnxIDUZKvCZe/bynB0sbRPL/0fboPhJnfEeEVn8oHujP+Sf0rdIQ7qA/Um156T3Pfk/Vb40QDIdWaiQS87VW4QlrOvdo/yfouk0PbFBZIV0e3/2fFP03f31VWTsim8drRtXw9qQnUAIu2/hz3O5srBiNt3478gJADzn1hIAWb/ob7kMvJ8JmDEU0fCrYlD+bZ0ksIWMTgYXHLSDFpOkmyQChk6rvQslWXB03AH7DuD5P+XgexSVz7nhDBFjHRO2VnQueltz064lHOKDyDdGs6OXYReHoiApP9TM0zpm37O1Q0zTi/nopHdH0MN6DfxN/fXyXsPkDODDNErClQy5aIoTSV3W8wE7anU3TAyRk/V7BtiOAYnf+dikdPHG6pgK40kDvFgOd3tpLb5qAhS3cK9ecoKSublq0ZrH7pU9SQlf2//nb37QdP70W0u+IqlCceh4kTE24/5bJrOGzetcy41pBNlWOyuGrJAE4oNbKac/2zWTqsEDXSTFhXZwp1vUag/RGqf/6Spfffztb/foz86acErRaWDy3l61EVRCwWBsyYjSM5hdT8QnIHDaV8mhAjsCXAQXfogZj84UcAJBeWp7hpGgAAIABJREFURCWaBx15LI4ksxNuc7oYe8bcKOwPwNOSGH7QY5qq0rhtc7RXysHMcuVVCZcrTz4BY0abF+rVmHE1wtn8+Xkji53RL75XQqxty/sZnz0GAtNfTzZ4PJAizvnbPR6+rfJw8cf1pEqFHJt1NBd+UUpWtx2X5qR00tQ+9z/IZr7WDqvIGn4+UeLJExOn/hZVv55wOcQnLABIShL9FiDaCwdACoVMmzl27MKqKDhiYE3upBSmXXkD2QMGo8Xg2WMrFTZFJWC1UFn5Np2/PsPOFQsI+kUGOaSXEbdFKtmXIZ4FVzjCxKr9FLslxuwVjkezYuZbDW6MByOoR8xAnWfIDLckO/lyVDkdlsSQV4DUQIhInsj+bi034JLVGw1Iq/JZfGNJENBPZyjA3CWLeDbDwvtZFj7MsvDXcBfavXdx1A+fRrcNOFzsKygDIMXnBcnCWyt9TGmO4Pb7mPS9SIi83t/OgZqv8Xsaot9dMNrFDWPF+F7uUXgyAeFY+vJr7Hc8LRTCUuID3sxe3s9kOcKlbz2MO/Qzc1J/ezxXI/HzrRKqJKe1McHWB7fyKYkrfD2m5Yukld1mPGfJs++jsnwYc5sjdMdKyN5mNO1s0IyTvM8LmzZvZ0lqNkcsfJsz7nsaAGnvXjoWG7xUVBUCAYb1UplL9Xm54vMqcqUwayhGsYiqxiPDH0GV4bVjunnob/fw/cQJrDlNSIlHLFasPo+pStbTQyerfGB0/vM7FRQUVrStoC3chqppLAuo7Pbtw6skrjYvt45nl3MS3THoiyEJ+q+cVx3i7fU38q/tNzC8V1f1U5d/jbu7nfQPu5D8PrqyktmZn8nmYjE/by8U5zhp5y7mLXqCK18RyQhXwE9bkvG7M9eupFNRYdRItPJytAnjmZ9kzHXPFgkI99XfGT6HPRymX2MDtrr7CW08m+2t89ncfgt1dVfRUHslm9tvYb3nDjZ03c6W9lui/29vuZ7tTZdSX3MJwZ0XUbP9IrZsvdD0f3W10eDxYBaJRPD7/UQiEXw+HwUFfcOJ/0j7M/D4g0zTNDoKBHY9zz0KWce7y99/T9qHnbhXmF8eLVU4cx4XvFgrGrV5Ih6+HSImhI40kQGsS9uBHKohb/1n9LMI5yKjbStJH72J5fIrkFqMyUfW1U5+Lv2YZydfQ1qhOSM5vfpM1r3Xzqh1fo5c383krQ0UtkZweQw1lu4EL64qQX2WeWD3uLp49ZhaXMkC662FNOauOoSjvrkj2pxs5IhJ0Undt028pDsmiL9PmfG1+J4sSOcTur8is8k8kQJcff2dYjtdiSWj9BZSG0XVxTH2fCpSRMYs1nkISzbCsp2Lx2UwZ0Ay5YUOZJ2AKHcrJH/VhfTCK8ivvRb9ToeuAmLdFyb1gw6SvzIcJ0urOYuipIvX5pOQGKxlSeaI7CM4teBU+rKT80Vm89SCU1k4eiF2WVSMgmqQpmATu70iaE23pTPIXcBol4KmGdmQ3MHDGDjz6OjfjuRUDr347xz2t3+QXtS3KlqPFY0dC2hoKiRl5cet94W6iGSI2WFUydGMqE7jqDV5nJb5V1oOPSG63YTdGgE77AxbaXJLWLwSUgiCbeVM25hNYas5859WKN4JX3v8vf0tu//lCKcVnCbI74WJew4AaJqKbLXiSElF0gPHUE5/1qeOZK+zmKctRzI782TeGPs6L/R7jOZ33iXL4yfU/QZK0Eyurv1FJAH2rV/NF6Mr2JlvDvhyB5khdT3CEX11vQ/3lM91GEx3k3CekrN/OwADs4JRrIX8Ptr3VvPNvxew8cO3aNjUtzSrfNfdyP++N+E6r90adWpMViFgA4FcUUkK6FLOUy67lvHnJpZn7rGoLLhLjCVJWVZQFCSfD/Sg6tGfW3l0ZSsHvArrGvwUjRYVw6TsXI66+W6GZBVF9zegLomcdntUdnnAmk3EWvMace7vzLDQlJE486f2ChgATrTO5JjcYxiXNu6g5yPV1PS9LhJh2q56Zm0zKtOuxibcGVm0VldSccCoGk+p3AeaRlIwRFF7NyGrBSnkg6mDKGxpIbJSOIKapZV3qx9gW8fPBGzCAR42aATp/iCjVlZGm1hmtvXq2ZPoALNz0GYaSn3ZngCH79hLsFd1RnKaKwJHfyBUCe2awqYh49k6cAxvTRYcoH71VSzd8gtqgmezo0FUsfOrtvHzfbfQdeuNJJ1zNlw2j9XlhVhVhZkrFlNRs4OI3jV7eOV2ZE1DnSXI7A9/uozbnr4NX1A49p8V2zn1vif4NDuxmMdZteGE5259/yvcU67BMeIMIYHbyzI6zMd/15ZO0rvbObroApy/AzRvt6SQpzuyKTKokUbC3s+YNGx4dJu25MQulpTSSxGsjypDj2UPEOOq/foFpJz8PJbsQQA8N8BBg11mkz8msdZuQKmUXpWpFdsquX+EgES2pGeyq6QMRZLYWi78jauTZaT338dy3lwWqA2ktMTzzCRFJNzaih4j5ByBJLtQLFm0FN0JgDdtFqU6H6N87y4sHW2sDGmE9WRUj4Kk1W5nUuakuP1v6NzAp92N/Ltb5XJvHt+3fg9A2N4fTeoDkaBbYUDj6dU+JreIsafEq3LtriCpShL7g/uZbPMxq1vhy6XGfBTa/TVKVwN4fXiTZaryMgjr3I6XjjVQKw05rSwfW82sn7/BFQrx7aSZrKswRDZev/M6/F0dqP95AHX+fEpilBx7krzu3pVCu13A+/TfUxxWVEmkUP0OJxHZQshqw+dwErA7CNjtBOx2bBLYpThk4P/IioqKuPbaaxk8eDDl5eWkpaVx5JGJ2y380fbbYf2f9rusM6jSHbEDfnKTDOlMqZ8oh9vrwsSCj1aXhdlwjMxPwyTCmkilX7pRSIkOzgbFlkR76XL+W/gxm3NzmLAJcnP6czCkuRpcir//FLbliMqBtQ+6wuRdPQ6tE7Z08ayO4km1prL+/fj+AS2pFt6ZloJN0bjm8xjegGTI3dVv9DEoKGGKZbUQadZ0OiLttOyI8NZFb+E5EGF9VQc2x6Vcn6fwUJMYUGs7P+Sn5sdJ8vuYnpHE1rDGXgXSdIeuJ/CINXvpVMZrGooWZrfNha1dkC5Hd29hfeoYTh7aD1mSsK3xISmQ/qZxbrZmexyJDiB5mYc6eyPuDidhxc5PbT9xyoYx5vNSjOpKdH9YOaPwDKZuHsw6bTNv5ojMRj+5mPkjFpBhM6sh9UCoPtz/YXRgBVg4aiGB4Co6O+81VTwkSaL8sBmUjD8Ub2sLNqeT9CLh1CvhvonNAFPOvpyG2jWARMRvxaLmAyLQyiyroH3vbtS8jbRdGcb1i4X85nQOOe1iqj7/Apc1hW6rMeGXtEBPo3JLPxWQKPniSjblOgjYFVJ6Qaku3/MPzqHvoAGgvKmdLw7toHce5IU5Fo60x0OorA4nkRi4wJ4Vy6iYJoh7U6/4J2sXvcJTtsl4s2KUvSJQ/91i6tau4thKUTL/YnQ8+b23xXZyljQNV3qv+6g3qKr+aXnC7+/Kz2B4QyvoHJEtnwn+gfQbzZ6SsnPxthwg5EsMWVy76GW6Guqjfwc98bKb0ePetCnh8s3FOdRlpZL14lNMOPFMyIsRpnA40AYMwNncjCMcIWizYnO5ScnLFzCbUEiQeHu7fJIWXTT5nHzUHhimfnxVIRv9evXj2NQU4IjyZEae9Bcyy0TAY7n3Xl52wLJh+Qw9/FR2Lvuqz/PTEky+jpBGMAZWYd/VBmXmbY5KmUF2ieE4oKrQ2HjQILe3yZWV9AbZjaxvFrwxRaHTZSfNbwQ9R2yvxaVL8wZsVqyKCi3CwVa79uFb8RBK2x7so8sJqQolRx0Du18gvbqO/5UV5IPFgnrl35FW/Yq0ejXuUITDdlQzb/49PHe/gIZ8ccTxHPPlm9GvFdXVYAuH2d5vMNv7maWgT/tSNH5TQiFkh1NIMufn07h1UzRwB1GN2+GysGN4makHy/gtv+AIh6gqE30jbDrmXTrtPPjaR3j6CNq++x5bDAlXlWXW98F9mr0/jHTxNfSu+fU45/byI/BPSBGogxgHv3ilD6aKwezdFV4yvHYOv/Jm+G989XCwQ6ZV1WiJgRWn21wcmmShU4F0q8S71YsonzqTgUfMpqI9QlUEVh+fzpx3zJWoNRUOQlaYslOcn/NsY0yROxWQQO0lj9p/UhLFo12krBNjsXuqrhSpr7c1haE8npCu9uL9fDTTLGYxb8F9XP7BG/w0RvTYOtElI30lkoKZT7+E87jdXPj6BZy41thPUswLZ0k/jUe9LtqKDH6OYitkafSRD5Osczpe9apcmmxBCYeQrTYUSeWAlEFH4cMcHviKjW1LCDkG87DPjb1tMWReZJyH5KQjX8A3k9rfQrb3qtACf9strufE1ggTGtrRXKnRfhv/2XMVFxVeTYNnI7fX56J+aFTHw3u+I7znOyivYL+lGzAI32G7cb99bj8jamHeV4KrVXSgkeuuv4uPb7iMdE83xc2NfP3KQpKvuJmxNgh2dkB6jIwxMOb7XpLbFgv9S+ZHEQIdkU6aVdDkvpUsAYoskPR/ZJS3t7ezePFitm3bRnp6Oueeey5vv/02Z58dLxf8R9ufFY8/yJSmZmrThJOcqcNoNFkmedw/4rZd1b6KR/Y8yndj5OjkuLnLUCj2OaC/2s67hULBam92M7bSqciuvqU8z77Rws0XWlg3rRxNb5L0c4fAc3fZ6/v8njhQmLn7PEaFjOxDcYys4KLpKfgdMukqrCj7kCUDXwXguG1/i27T3WSulISqvkVatYorIgsYW38UWb4CJCTWv29kAIvtGpfVzI05DJXF/7yE61IsXJMsBt6hSWIw/WXQAKqT4h9XSZIY3eTjyG3fM666kZBVxWdXOKfhXWQ9KOo9iAM4+h/Hw6e6OPNmK5ddY6dyaiZrDtNQUbms4i7OG7iAxY2f8+LeF5lXfjdrkrZy8ci7OHC2m0ielS2uSgBKlAIsByKkL+og+csuBkbKmNVpQILOqJ9JpnbwQaSHpGeck6gOaVp8mGlzuqIBR/Rceik9FY89JPr5kNMvJmVAKfUbRDAa9lmR3KsYM287KcUeSmbUMOCEvWRM3kKkALpPUVAdnZSvy+GoIkO56MdhxiDn1+k9u8skNIsVubqWms1fmPg7ABE1gt2fGAI0aq+Rrd2Tl0FBgn55VUUSmXaj4vDh1g6Of7OWqvzxuLKyoyTsyuWGvKg7I4tpf78er9UMXXj0i63UrV1lIgT21fCrL0skWSglWDbntvvJrhBOj1Ii7pX04wrUiBEg9tU8sscmni/gMR17a2jevYNwIBBtIAmYgg6AurW/sK8rzPFv1vLFLh3r39qK9PXX5nNwu1HeXkTk+eeo04Oq1sZ9rHjigZ4Dg19/hZ9Xgs2G3NnJEdtFNt+iaeDzYfnLWVjOORf50cdI7aox7X/s6cb9srtknD3vnh54fFSncfIic1+DJVXiOS8cNdYkHZ0chOMOO43+U49A0v/ruWdFbUaFSZXM13LGRpWxleZl9SGzNHFpo9t4j/bsgT3VSG+/jeXqa2DbNoPDcJCArrdZIwrHbKzCHYpAVxfZ5QNNQQcQDTpA9GWyqiraiSeinisEBpSWXaBGsOm/n3uIzqnbFs/12dA//tnr/bZp0wS0T5sxA/V6o2+KPejHE9OsbXu6nadOn2v67v1PxcM18g/UY1UiWCQrkUAA6aOPsVx5FXUP/Js9Py+P2z56HLFOkqZxeQy0Z1vFEGylU0n9WgTZSoqoijnCieFgp28wFKomrmvhcsVD0qx/gc2YsyRnOs5RhjBL2kfdJH1vvpcVXhWXrjJV7hVXLrU2PhdbbGviRYePnzDPcUOdMpIkka5XPebcdj8Dj5jNkioPrpXNvJ4mc2+2FevUZBYek8bnhyTx7NGpLHUE+amxgw/Tw7wyK4VHkFisj5Opn3eR+ll89VSSJexJ8fNYDxUqFEPe1vTeMwBeVYsGdn3Z6mG9lDZ1HpZrk+hAfvgeG9ZQhMBlIhDYhzHOu53lrI30zWzuTAqT7hXJyu0Ro+JhcdiZu24uP4VdhK255GUKREBn3q2E3IcQsRkVz+Z+b+BLMxq+ejPOpTvJHITOqwzy1z3iPCP1q/B9dT1Se23UwfUsvoonn1N4ZduTaF+8nfhgPR78DmjSOadhtwVNgrnXifPL8GjM+8q4zs+edp64BjGE7EfPuJpbu1T+tXQ5jek5JHsOLoATNUmUL2RJRlY64lbHFsQkRK+V/6stW7aM0tJScnJysNlsnHTSSfzyyy+//cU/wP4MPP4g0w40gq6ckmsT/2rnJFYd/vKAoUQxNk1Ahe7dbUAhvh4vUzXO7Ky2Tzz2oL9/UcGttBY9xHdBjSQdVrQzV+D2txSsPthXueyXRxjUcggjVhkqXN5BYnCpybHSrZPwztkTYEvBD1RlCxJ7SefQPvcZ2vMd6tPP07bSzqF1xyMh09lgOF6BDjGwpMW8UR0uwxkdrQdkv8gOFj37MvMvv44zpiYRTvDCKY2bSTqwn7wuL4tm1/HekfXYtTD+lmY0TeNV94esSja3nrFYbKwaLI6nw62yInU9W9L28kz+u9FtPmwU2Px6RxNP5r/N/kgjreE2wmV2biwTikD/3nMlKd8IR8/aqmBtV3CpBvbTplpJey/x4HNdhbmB2oUlFwIgIcrJ7R23Jfxeb/Nag/gcxqSYVlJGYe4QpuSeROaQgWiqSulMAfHxNrqQLGKArjiuDsmxhaR8kUXr3uem6r8lHCj/wLT/7EgqT55kwaefVkAPPKYnjUB2ZqL4EwvdfVX3OcNqUuOWJ/uDFPUSBrD7+zF2ZzqHbhXB9ajdaZz4YwGOZsP5eGW9uI6fyaP4T+oZ3BqcFl2nKsb5R0LxDkukVeDiYztQOyKJYUz/FxsyR8DSetS37AUiey598zWeegOOk1ncLypRmsjsOv+jq3Ef6955le8evJMfnrgff2cHXY0NcdsHOjtYXysmrGd+FffDMu9vyC+8aN5w1Cha62upr6k0LfY67bBrN9Jnn2H5z4NYHnkEabtwPHqyhtaOTuT/GE2xpMpKxmx8ks+s+3kpJcCGfJXUPBu3D7qdu4cY6liBiEpAv9/d9j7KsKtWGc5+dTUA6gknoM2YAUDF4QICMH2nyPyPrGsme4DIxJc3mDkfm/tLDJdLsYU17KoxxZ30YwHT12czbUMWR1SVYtV5LJYbb8Jy443IH38i/r79Dix/OQu2bUd+6qno93u6E6uTJ6NefRXqrFmm3z28xRet/8jPv8DoOScC0OmyU5cR3z/oQIobWdOguBjtlFNQ7jcc/fE79zJkXwu25BS0jAwiKeZzjMhw719kPpxsHhCXTpxK2GKh9dKzUS+91IzFiIEbbS4fSENOHrX54vmsKi7lw1nH4k0y5p1xu+KDncbcYuyyi9PLrsO1K4K0THCkylZvICOtkL/0v4m/9L8J+SCuxaytNaT4vJy6VUDkQnYHzrHnR9dXLhNZYWskcSXXsd+Av2xqDlKNSgCNlOMew9ZfcN8kW/xzZmswv2+V+Y0sWeZh6Xee6H1zb4mpTqVYGeCQudum8ousccCSOImytOEN/m2r5qe9Xla2reTxla1UtoWwh8X2ZSNdtKRa2FDuoDnNiqXBDxLsIUJ9to1WFR7zqEi/YzhSss2BUU/x4c5sG09vrUfr8qB5PWjjhF+xQbMQttl56T8LGFe7s/fuAKguFFDdv7//OmzZiqRf3+7hoiKc1SQSA7Z8Eai7u4yxo16VyTuIF6lYYfZWoQi1KQx+TUMJBenSsRuKVVRZ1V59bAIps01/+1MFzHjU7u1M3BLfe+i4fTG9MTw1APiW/5tP7QIyiM6Bu+/LgWhVW3t/XWzS3orXCY5TJjPntvuxzhXzS1BHd51QZ4aktulJkteOMyDWPTyuX8cKYZwhVZv5my3MeJuUONHVq/KtaRqSppLVafCHZBQsYUM0IdeSOOH1P7Xi4mJWr16Nz+dD0zSWL1/OkCFD/s/7/T32Z+DxB1nwgAdJciHbBkQfCqfTyDxrgKTL8u30xA4A8Q/QT8NlmmxmTPzFAwRh7Kgn3+Cxsy4yravLhiMXLsIZFsHC3rIbAWhIq+TZydfQnHTwMr1ML/7GxCTWuyS+GePmo8lGVqwgJnFyY55wVtNLxFvZuxihBbtoKDATRGNVshpWzsPfVoq3yQheFElBOfpoetuSGCnMD0vMGE9F01A9gsznicE8KJLG9wsf4pP9H/N50+fcWbKQensTzdZ2Lqi4ldtKno77HYD/ZvyYcPkBu3DmAmqASK4x+OdE4qtQqYrhJEzrFvjxtHfboRfERI6RxZtXOo85uXMAsNkMCJCqRliybD1f7uq7K/KVm69k6SFG0DZscxnTkk6iJGkISBI+34/YU8TAvO/nfBpW5eBtdFG7rMA0FtYsLaK7Pplur59G90q+O/A6myf/leKJz/PX7CB2l9jY5xTP7JgNZyDZXIR9ifkbu35YEieffOzGKqbvqkcCBsSo8LhCFkZXpTGgPpmRVakMrU0hs9uOb7Pgvmw50LfM35q0sTz8qQEn2lFvPGfjOkSQvCNlMBHJgitkOB+xnxOZXc9OT7ns2oNuF2vJOWIitbuTsDocRHIEVEwbMwaf3nxv6L4WbDfchHz99QcNPhLZD0/cz8oXnki4TqnexIQOXYq4Iz5rBuA7/ljWvPki2/77Udw6ecEC2j7+MKpdH2uZHr9w+reaJ22rEuDB7+6jzaKxJBBk64EAQ1OGMiDJ6Idz2acNbH5WZBn7Cjz2PP820rfCieWAeJa1Q43KYcW0mUy9/DqSe3pOWCyMP/siRp92LlZVZm7YGDcGNGjM+biatx5SePOBEBeWXEi6x0ZGt52/XfI4l/zlPmZf9dtBveX225HWiOupzJ+Pdskl4riOOw5t+nSkH38wbe9oMt5BqbYW2/vC6elwOWhMjxcf2FKUjT0rk3BPy+o0I0hPDobpn5Yt5pJBg7B2m6uf591g4Zzic3H0enwas3K4/4Ir2DJ2ICeMn8muXoqDyosvoJ52GtdeJ5rWXnj7Q5z576fYVi4qdPTibUgJJHrdejUxfZcVqcuoIoxd1xazjXDKkgPmbPu0i/+O7YQT0KwWrvhVQExPqU0MIC4/EP8Ml9fX0r+hDuvOTkb8tDG6fL1ejXCOPpeqw49kR0Y/fMQ7erJHYXX7aj6r+5T93gacKryb+V7C30+1SAx3WWixi4ryKkeEz1OCjHdbSNYOkKEnzVqDDXwZzuK+H1q4f7kBjezW1aaKLBL3pMp8mtV3ZQBg+I/xz0isuVd4ca01YK9eZRWBVsOX+Dg3n6OCTh6ecwozL72R92Ydx848keCrHDiAiTXbmfvjf1ny9/N46RVjDGnV4aNHrfoRy513RpenbK3imNUx91/npVbUmjueN/Wha5HeeDuoGt4aQzK5VRH8NK8ubqDYBJlZlpP7bCbaY2ndXTz+yF088PQDLLv8bAbpUsxrvu6mMIa9rsZAbHPWr0D1GO9l/s4d0SCkt8nhCGErVHnFfh2yXtmRJPxOC469ZpVSn1M4HN+NHU9QHzNP+HGpaZuB1ds5NdnGPWky/+k0qq5aairY7JBmTjAnWcQz0OnyIqndWMJ1yKG92IIBbEGdH/gH9eyYOHEiJ598MlOmTOGQQw5BVVUuvvjg/L0/yv4MPP4ga6jtQFNbTYRgm8/whCXA/aOXXw8YpayrhjzGqgQylX1ZUAoRsVr59PDZzJt/T3T5M8dZWF54LX79RQi7zKXT/alVLB34Gs8f+k8WTr6TnwfbSB2SuEHR4gluHu9n59sgrBrsxOuSGVwf4pIlnbRUBblGq+C6PD+Fdg0LMPokMWgdmdqL9BUJErb13WE91F1A7dJbUcNurIpIoYesflpTMnlizxO0hlr5V6p4PGti5sIDTvNbN1vqxpMjMhFPnGg8zrv6dfPasXt5b78hD3dpxb84f+AtHLC3sSY5cdbjt2x1++qEmPJYk5C4tf5S/lV3eTTzJ4Uh5YsuwTPRA5AUi8iCzs6ZzYzsGQAoYY3Vb3lAE+uaWuuwby0i8n1i3LmiKaR5NS5ZmUpukcC99s42en2vYHUZHsqBDdns/rSM9l3pBGN6W1gd4kJ3dnv4fusPNHv307gum43PDyVnRzrWdnHibn2QzwoWINlc7JXNULEeG16TyphKAwaW2a1DKfReEQNOO4ejbr7H9B2bIjN+ZwaukBjI92yromZfK/O/Mctk9tiO5EGszJzE974s/GGVNW+9xIf/FRNjcqSb6083nNeFpZdGe+QA2HSnLKvLR1LMXFTa0smxG6s4clsNR153G8k5gghusf9235zYTFQkGKR+3a+sHtQP5YsvkP1+0DTKWjqR9u9Hqt+HfGvfDnC/iYf95u/FmnPjEia3/0qWvx3LXy+NW6/cdCPtkfhqUKquDqfIEr9WFPLzwKK4bfI7hXMoJcja2VSF1KBY/+FWAyayobaTqgX34WpuZFKjyJ63OM0TrUuHqXQ5kqC5GTQNedkysTKm35EkySRl56DcfRfapEmoi94CIFsndzatM8j1Z39vdizS2qGsMSm6H0dyinGfug8uQRu1IYPRjjoS5fHHYMhgqn3VeK645KBfkfUeMH6HjdZk81h4IBVmb63hpuP381mjLrudk4MW07lZmyzId4kkiEuTyzkh/wSqxwn1qerRghuT5u3mu0OmsEJ24tPgil4EatLT0c4+y5CXliSaM43r/MMYQYx+WoddTdixGWskwoOP3k2y18Oh675nVHKM8k2Mzmm4cgnhWgHvnXr+1fTv8jN5dz1JMcGHu6gE8guQIgqWX3/lhTuv4O+bzOpQvoh4htwXX8y/UmVeyjB+46V/z2fI9l1YazxUegz+1w0Y8+igjDO4Ztzp3En83Jr6SRdPL29n//eHMK17HBvcO/gsY3ncdvVD4qvUmgQra7c6AAAgAElEQVQtFo1iu0xKZCOSJFHnNVcRFJ8RcDf5utnQuYHvW79nkkMmSe6pZcdYRIWguEcPxzYN7PWeyZ0K9hrjOippMuHz5qAMNvNvAL44TIgJLDxdQIH67d+HW+eKFTusSHfeTtHFF2ALmOfANG88rLDnXdLsdsgVEPJJm1eQ3ng7GftviW433S7xXpaFNzKNeyUrHaT4RJJugU2MMU2Vuwlv3kxxm4/rPlJw+8W9rlNgdt5JCYMCSVXJa23mos/NUq8n/Cjer7+W38mN/R5FUyNU5daghY3zGLnby/PF5gp+j3kTuEDD7NO4rl0kdsu8BTxafQNuxYlzQHwl4PrnbuP6Z29l7sfP8ZM+ZvZuNJji6US2WrFJEuN/FoG2ev75glTerwRc5nHBKvckNTUskRYknaCe7LOS0a1RYVX/V9K5fdltt93Ghg0bWLNmDS+99BIOR2K/8I+2PwOPP8gCHXpUH0sI1pUMlA6BabY1Rdixx8jS7CMLb7qBQ+2xZMXNFndl3PKXU9+IfrZ0G/KWPRXgAQ19YDklqMxeR0fOPNoKb+fbMSmMPTKNhhTzbzw/O5X1FU5Ui0RDzPszZYefwjYxOJYW7KHEruHafwhHph1cm6A5e0zC5TnN5lLpGTXXAPDZ8Cd5xXWAle0reXffuxzmkBne6yeaHeKRDRdYCRVZufHwHJKcNjRgY7nxOK8anoA08L+wkqC5vPpx48dcv1UQ+4aH4rucRzIsdJyTzmHdY5noMTeZsnTo+vv6tRyYPJDrKq7j3KJzQNWQPQqhhjArsqxs2CP4MwVb11OQ2kpqMIvdnpj7pWmgafgVP7e8ozCz390cYT+adJ1fpFoC7J38CJFIParWiWxNzCkIe8UFDnbaCOocjdZWIwPZXSecnsZ1xiRvj8At9Zeyu2stDW4Zv808nb5anBhiWK43yGTIEJT330Obehiy1UqzPTtBblLYK/3O58plfePsl+QYcJc33lpM9d79uPUGcf8obcfmcnNIu+gSjSRR4zSkYLsKxjFjey2HVu/n8M1VjDlUwDRim+ZZ3ElIsszYM+cy9XIzNC6R9ZY9ViNhml02lowsJ7hlE0lBswKPVBn/nvfYoFnx1b/ocdlEEDRi9ESKe3XSvmHdW+ZjmDUL/7MLWbNrE5s+NvdsGVF3gBKdL+HXFZQCCXrZlP1Gs853v7wDSVP5dZ8fVXea1ry+mEG71vH80v+wK104yG0uEXgcWSECgftni/erISkb+eOPkZ5/IVplIIHDzdChgqugw4Z6yP1WxXj3e7cAsewWmcbd/XLYHNvzoLUVDqJYZbKkJAFbKipC1VQWbF/AHRlfoXzwPoG5iZ/3HlNkGVWWCcV0Ov7nZRYu/IeFjmSJvX6D86JeeWX0szZNVIylBIpp5xcLaNIVRz2C8sH7rDr3FPZn5fDJ4QKisiZoBNihBMFiz7B6Ti+w+MPnXMELswr5UScbn//fD7nqvVeZsGsbn19/KSfV+cnNiXkuA+ZjC6x/DaWjFptXZmh1AzZVY8rufQzMKWLyX4WcsxZD3k/xB43MMuAJd1DvE8583tBRHOaQKY2RQNXy8uh0HFx6tl0fTTYRX02sR6XFO5jPEe+4KmmcXXwOn05fx3aX0VH7Wt9tLCXMUxiJxMGenfjUILs619DgqyJAgGdLP2NbaeLg9aFdC3mg8gGerXmWVr3vxZfZFjR7TMfrb/fjXN4ImsbbZUZiw9KigKZhrQ9hrwyS+rlxnQNDHHSfkEaH2kn7b4hUALiDfnyDREWr3e/n2/372dhUQ3rTb0uuOvWhUJ0/H9yiWnnoTg1bqJr8VuOYGlSNTFmiwCIxwruYV+/8Bze830p1gZhLLF8LGeUVm5YQssrM3NrGoTs15r/5MQPqqvkhpHFiqxLXZPWsrz/ju7+fyzu3Xk3/XnwJdyDAM+kWMhsacdftZPvKK8l9/l601d+ZT8KSoPI16jQu+qcVv9P8eyPTTiFvtxMUjbE/5jEk0J/B/rLouceahIFXCepj54nfmzl1KV7jmGVdvl8rKeZgluPIIceRQ67DrHwoaeBXfn+i+v9l+zPw+IPMqmub9HMYjd56OI/+XwyccKZHTLjl7nIcskzEUU5F/hXR9efvHI3H4mNViuAkXNZ4enRdoElkKCbsbCVsMcraVQXi8R+wv291I0/6X3jp/neYtrGSM5eIF+DHcnMGoSmBFjqAO6gxyCEzxi0h27z6+Uo49chbTjDAfzfjaXxJIjPWr9RwZAfvfIvh216K/p0z0MGIqYaaztqi5ab99FZu6Lmm3pnJ+GYkc2iJG/XiiwgVJ5AE/R121r6ZjPHGZ41Oaj6MCZ5h+OV4iE+DXvI8yWHwbnyHioFJTZVBlvCP6bvaY20Mk/5mO3K3woTU8WQuDZK+qIPUT7rI/9HLFxOSeHCAIJU2DXuNtKPnA3DXNlEpsO4Pk/5WB84NfqTFiylrM7KkTksK/kg3Danf4U/ZhKfrVSRJ7VN2L+y1kZpyNTveN65B194U03oALSJTe4F4dtsHTSKzLsC61qWsTQ+aKkD1zkI81sSOQUos7EI/oNX7/LxTdAYbUkbh6tVZOavcUBwqCOwnKeLlquqFnOiL7/cC8Jl1NK+VzOX7bIGv7TewApvLxYjurbz9xR28/M29HF8l+E4qEjNWfYHzRKNZX/6bbzOu/1D6N4vJQhtvNIXMHTzcRHyOtcyyClLyCph25Q1xqlex1uV24AwnAHI3Jtb9ly3WqGPd2/rll3Dsxir6vf42Q1eaO72XecwcEO3001i28CFa9+yO209JWzeK/o79OOS3ZZkPZu5wkOSQjzdXifOZt1FwJmQ0BnXUszG7gtOGpXLdlCyunZzN4vNKKfeKStZ3JeM45uSH+HFbjERsTPa/L5MtPYGH8RAGehdfPWKy/uTYa/hHpwg8pKXfYpn3N6SfEjdUjDVl+jTebXiP7ohwMHsChZ7mn7ZJ5uaeLb0e/57Gdz1j1/ZiCNkk/Hr1tgdeASDFdg7uqfj4zM6G94G7GZIiMrAtikZQ02jIHMg59zxBjS5f3WE33p1L2xVe9pqfu1QZDndIDOjV10Cx2mnOLKYpSyQwBrZ0ceKPBszzKMdkLCFdIn3lUySywKa3cf9qQI7khc9QPu9KUgv0SlpZaXSdRdWwW1w0+ETibm2raOx5xD9vxRZz/4fpr8Hi24/lhulGX5JYe1CvcLTpFHsVuCr1YQB+SBHvSFWMlqEPjdWKhePzj2ds4SH8s+yh6LrWlrnciZ93MMYslxIgDKxv+5ag6uPh0L9Zl1PNqiGJlec0xY2mQbhjPE0+PXkiSWSENLJ6QawtNebkSsrX3VjrwyQv9+L+xcfKLAs+fXoOjHLxWt1rXL7pcvaFE8t4x9rh61bhj8nEt7e3U729mlJPKU6dD3fynk34Y673XWf3cg2zjIRKcSu8d1+Ex54znGoNhCpcZSU3JA+ltKmRSTtVGrPE85y8VvBNg7Y0Zm43Au3DNq3lhXuFwlTZvjpmrF2Jq8tQsJv3iUEEH7VejN11RSJ5NHPtSor27Oa2d1Su+1ilpDkxhKpotfCbXJOvRk4WfoK7RPA37jhb4t9nytj6H46t/wwku3gXU2ICPUegkKqd5jFVnTCBFJ0fJSGR5xYVR2dE4exPXiAtEuJvb/yHismHE2cJpJ1jLcWaQoo1hWRrMimymRum/o5+Tf9/sD8Djz/IxKQiMdbqQI2RcQwMd6CmO9H0rpjrHYKwedOAm9ihQz3WqoZDM6LJwPmOCQ7llPaZ/KNBlL2bdYWYWte1hrJQATxRuwCbBOOrjGpLW/49zNqg9xjIuAV/6vEUtDZz54uPc/lHbyHf/wA3jbsmuv3w49L6FIV2BzWGuiw4RxrZ0uwq0ZDNvjPArN/gkGTsNhxFW9iHrKnRbsblU5Lpl58X952g3qk8KeaQhljhq0Ir345yRlUgABg5kq7//Ougx1C6PzG2PMuSw7/qrmBOh9GE75HnI5z39nYWfJ7K5G5Dtq/IaYagpCA8DP9YVzT1oeq67apOetESjDGuDWIwTvm0i/RFHVibjclw1UFwwHbFieILkfytmKQcW4OkvvkhztFGxrW/ayAuawp2t9635Oe1+FvFc/Dx9HoOjDDzMfYuL2TVm+vR+uhEHGtbN+TzyyFTqfM1s7ndwLcHYzgBkqahSXJcBePoTVW4wgrKXcZ9Wl7t5bX1ojI1rqmZI3bsZcSsE6mumImKxJ5i4550WVMoDuwjZ9BQLrvsbEbl/7ZTmpGbg1W2cGqHl/SQlwKfEazLaFg0lYDVyDLKPj/5nyyOugTqzfN/8zcADpl7KVMuuwZ3RpZpeVmCSac9Kb6ULT/0cML9SpIUB0XrMecvRsNH2w4z3COsT2xdTjve226FHLOkY/R3VRUJyOmMh18pPYpwh8XDvX4oHBW3DODF1q94/4vbueihqxOqdvmtDg4pcnFEue6Z19Vh/YdoLLojswyA+w+Zi4KEsuDm3y1SXzZ5Oll+8X4PqU1hV15F9PgjskTX7l7jk9+PtEFUXeWlwqlWHn+M3qZeK7g93d5mPmn8hJdqX0LTNB6uMu6XpmmQl2f6/ktHyywZYxx7Dzm/B6a272qzetSmLoOfpE2ehDZyJMrThlO/+4LZvDVD5sz5FpQP3sdZMST622e1KdzVpfJ52JhDrEEjcw+wT4FFPhGgAHwdUGlToS5i3COH18DtL5kplBi7svvh6OoFcVRCqN4DaJqG0pRYpllt24PSUYetfCb7MqEr1Wa+l253FD6WEgaLZKE5sJf3qv9Do78aV0ZWVFyhxx5Lt/B1toU1rav47ye3cNZOM5Ye4FPCnO7cweW6cL0PWN91Kcf0e5D7il7i04xlJjbjbLp5I5DPzpYgqdZUJmdM5pKKO7i44g7CvvhklKwpKDoJusOaSnqXE00Dz647E16HcNs0vLtvIbD/DG5cDD6dbN6BRmavwMO2qws0jdYY38G5JcCOFJkJc1K4aoKbe4Y7RYLLLvHVga/QAFVOpmTfCvrv28vrL71Lbxu1ezunVe8kEAhg7ZXEmNAygXNXfcMlP37OoDVv89nJJ7G3pIQX5shsKZP57yExx5ig+miPhHngSVE1Oc0lI32+GMv8mylaZXA6Dp9wOrKq4g6IMeaYX3fF7afHXrnnRu548Qmuzzeq2Fq/+GTI0HHXRz+n3H1Xwn05hp+OqleDZmwSiVHvACcvn1rGoxMv5Ee9Sl+TL7GxQsY5+lyco8+Jft/iMRz84ubj6d/ZS9Bj5AgmXjCPUaecxZC0SRyefyaWvBGk2bOZe94FfFjg5vR/LjBVrbVcUcFY6vj9CR6H7MAk2vc/E2L8f9b+DDz+KJNlkBxYbQ6R9dYtXGqHnBy6dz5JuNDKNreYFJwWJ98ExVOkWgwcfGrRjOhne6ob1S0xq1NAKdZXeLEGRdYyZJO4+yyZB/6SQXmwmFzVS1ZMdeAK0rhUmcLCwY/xUtlwnlv2GVx7DeqFFwIgrVlDqZrF2DMymDg3k+z+Dp7PMDu9MnD/Zh9OPUDqKDUGe7tPVDMsbQpu26CDXhrLVkNRKmxLRrn1FvqNdzP9ihycKZYYXKNhv3b8yqr2VawKGW9ajiyhShI3Fdg4MqaruqqpJlWw/m4DTlO+z82cVbkcsT6HgTpsyBYjjVXlqMeu2ZiyczYXyWcxpE6jqBU07wEiNSs4eYKQ+StyFrEvYJbkdAzIIFRuJzjQQai/ncBIJ4GRotIh6xlGzda385RoTeAgjaTOqTudtV8a5HdF1xiX3YbD2y9NwNvahwtca0eRDVdWkD11SXQmK6xLi3cyg42JORqJrC20P25ZwGaNYpJHt1Rx1YYP+Cz3eNM2YclK9eQKGCYa8HUEFB76qYWaDlHlGHRAvBfPrfSwWB3M5tThvF5nBIteazJ+2YnNJZYtmJaNNWb0GuA1Jrses8oS0kcfY91jdsQeHXNG9LP7ncTSiupxxyVc/j+xwUceE9fRPK/Lh/LA/SivvIyWKbKIUk0N7I2RmA2HkT77XPTKiLFpV94Y/dxbkeu1wvOi3bPDOqRnxeASvv/sbb57KH5yPnZjFUdvFupRLw4/IW69b/phRG6eT61FYV96skmV6buS8Tw34kS+7jcRNcaZSV9lVA+q2kIELObSg9/qYHC2EXhJWxLzrPw2B5SWJlyXyGSLBS0SYdG4RUzaKq7pNyPFGLC2TGQ4VZvxsFjmnh9P6i8SSQUtMwP12mtQ5t+ENkQ4n93TBOxoVccqzll3jkn++srNV3LV5qu4s/sFau8TULzZq5M4kGoEtJsqPIw96ngssowyfz5HlJ/I4VlGUNoajkkGOByod9xOc7rMXv9eNE3jOf/HfDpZNjnvmqZFx8bYMbJ/pArFlrj6e2unSk1E48Fu4VTNcMpMsUu4ur4kuf0tLCFzgBZxxJOdgzsW411yK55P55mWO0aaicG+5fdgHziH5jSJrd297rOmIVnEWOzUhUNCSiDaG2nE8fGNWGVJwiJJtHWKKtMF278izxsvatEYiOfChcMZIMGa5K0kSus0esSzcG7xuTTYm9lvN3NOJhW7eHWmHaukoUoWOq2pvFFyLm9nX4Ua7LvTsxrKRVOM9+bMd+v4vlpU/6vjhI/B0uDj6KnOqG9pbVX4Nt94v/Yky4QGxiQuJAdIVtrcdRTULqC8pY07NxvVsSHVlTzw5P20SCLRNWyYufkpCH6WTVWoHiCe/5qyMpaM05NmsRsmgBoBHFpdx6pVPo6vCeGqzyTl5OeRO4xjOO5XFXcoEu2HNGb39oT7yWkz7uXMC84nt62FY39ahhQ7LgLakOFIMeOKFIifz34aKnHSCR+ze8GFpuWhQwv5MDKObwpHsKAX/+fK/okbrAJsQOEvx4oxNHrXkpKw2h0UjBjD4LGCUyPZk2kMdvLZnsTIE82dxC/5w3hstRkypmka3tbmhGqMMjKuoPHUav9DMZL/V+3PwOMPsggRZOxIFjveaUZ2QHXI0N2NtHMn3XnGA2mL6cCpyjHKUWEDSz+r32y6Tk3Hc4oB38hoMpyIzf1lJh0QEfWEjHSmp1i5eEknp9WFOHubA+2yy0hPziNDlqg481S0ww5DK42Jtjs6SM2z4dK5GuVWietiOq2+4ADvNjFoNYx8NvGJWyU0NIJoNCC6k9bGaIofXv8YjqDBt8hLbYcxY/CFNfZ7jZfoudHPxe36sT2PMUZ33AdYoXcxoCerWu2rjgYFJ+efTKHTmHzK9icxbK9EpsfPiD2pjKpM5S/fGn0wArJw7lq0DJLXTeGuNxW0o+dE17u9Ea4tv5YFAxdwTblRIQJIcqXim5IkWohaJAKjXaBDFxQdtuY/1BiwQ6UH77oKRMvpAF7chHU0tiurkhEznqI4ywh+6qQGNDTUbHM5tqN4WfSzo0gMZvv1YKs5OULQppi6oJvOaYARBC8f00xl0W/3MWhPdlHQ6aX/gQ5G1h3g2JpfeG7J43RLRvWuxZVOv2v/Hf07GDGnbjQ9DEsOiwkhbew0eludqxib04WqqkiRAJ+cYzin4zvMnbtHWhrYuHEj8nvxijVLSg/h1aHHxC2PHktuDtpFFx7kjH+/zbzuNqbMM1SxRtc2Cb5ASgrqHbdHl8v3PxD9LC1ahPz660jLBRmxYvosJFnGnZFpqGb1Cjzm7viGKbuFU9aW7IryNQDCfjMUpL9kJsmvHxzfPXhP/2Ja01PY3tnMxtI8NvfLRVmwgMWHncaefkMp8LZSnZaPduaZCc/7xsV17EvKYW+RAfmxqRFssYF1H71MtmWWRRV0fo9pulhDd4zMsCZJtF5wHq0p4v3beIQRCFcXFrPcnkyoVwZYeeRh1AcfRJs6FSZMgOxslj13Fde54oPTE/JEsNYWbqMl1MJO704eqn6cphQ3+9Nzyeg0cNxDzvsHuZOmor77DkzQO7RbzE59bwjF1Vuu5qZtN/HB/g8YlBSf2PkkoHFrl/k7qRJMSx2IJotztkbMCYX1YY21MUHKKS6JL5sWk9yxCFn1kNz+hmn7oCs+yx2u/Ma8wOYmafZ9hHy9kxcaKCHsEY22sFlu27Y3TMoRdyHnD8Ny0c0ARLQwAw4/isOvuZnMsvjGnhE1wjPVz6D4DdjugtXieGVHYqhib1uTvI2uBCnj/d1iXk61ZHK0418cm3scVqd4lj44q4RbZ+SSXVjA/pFiLvypn1EFDHeMj9vfwtP6dqse/Elcp9nYeAfz9bVt6cC6vp29MbwbR8xrXplingB7/AZJ9dCUAVjsFPuM8zt9yb0cKMjjh/Gicmw5CMRHRp+n+sp76RUC5U3zM5I8534sHQruNX7saUKYQP7WmH/k117DGYqgyjJPPnhHdPndF1/JJbcYHJOX7eZA4N1bruKGN5+POwzpGkForzozsfrSz0MlITIjSUSc5nFOysgh4iuP/h3xCI7mlf2v5IwR59E6LTGsdT0KXruLY05+iC67uOZaTELJUasnfNxZZPs7eWtNc9w+PIEIck01eb546flAZweRYBBfWwtdQYXuoHHTewcedPhQ1d9GJ/y/bn8GHn+QRbQgsmZhj70dLWbg0JySyGgCTwSNFylW/aZnogD410jDiUzWs0JagsZ57pCYmLM9ZqLSFarMzduC2Jv6iIxjuxO3xxOwD3MYx9X9g3A6nRJ0FxhqXEXrDEfKsTPIx4SZRTcrukJ80Rlhg994MSyVu3EFjJdNulQoRlz26T4u+7SBYERvnGRN5dJUg1jZYxfZ9nJPqszj6RYKe/E92hLAHU8tONWk6lTc6mdcTSOTqhpI8zoZtysDawz79K8HBGQsokHYr6G8+QbaxRejzhMZPWnVrxxaZSXnnHlMUgfy7CgjAIvILhZ5VX4Kxh9IpNjOzkk+wiV2vNOT6D4mBd+0ZLpnH5wYuSbZmFgvk97gakRA5sysEceTIbL3itVLqmU3rVdH2HPUTbSUfxL9XtOw1+L2+4uO91AsGm8fVU/5YTPitxnWxmFn3YQtSZfezfGzYnQrrx1Ty8rhrXS5++YQuWwOhu5vNTVIO3PDehRkPJEsWuccb8K29kz2PWZTdfUOvUN9Tra5KSJAsuLF5nKxc+dOvvzyS7q7u7lpWjZnj0wjt1cTxk7NRbXeD6K3aZKM+6zT6LTHZ3Q1ux31mWf6PM//jWk6vjrdGxBPZpL+uzFZROnAAdHsLxyOkhBRFOjsZMCoCcy+RWTkQrryTGw/EoDjq1dG+SMa8O3geOGDiglTmLNpD0M2GFlH5Y3XcTmsvFJynmnbfetXs2HNRtOySk8rn1ZMQ7HaOP6E8fxt82cwNrGAxKef30xFVwNZecZ9TC40kyXRlXaeOyKFTJfxbNwx+a9RR+f3WM4gIcm98sUnTctXbVgZ/bwuo3+0L8TFtz3IXXPnMefJN9jav4LweefRsW8vWkkJpKUR8nmj92xhzcKEv5nvjK8qHLOqlLXl8RnwDEdm3LLpWdORkTkq5yhAyHT3WK3P6Pfy0f6P+LZFwMHuGWLA7p72xI85c5NkMmOminzvUpbmWFmaYzhUC73G91ySxKJ9i6J/S6rZ+euOUcJzjDHDw3rMOWYusjsLtSpe7ltOziMjezLesK6IFlKx1odw6fwP95RrcTUIiNjwS86jYvqsPnlU6zrX8UPrT6g7jLlnUIcItNXgb/D7JIWIr5Tu7ffzPPF8jHa9ed8HWzt5f4ODksgpoDopzG7AGVNWbVGFEESVVhZdZg0akKy08qc4fWI1JS5zg9dENhYLxcgsKjc/G5b2EGfF9GZZmbzKtL4zLLLlajgF35YbsNR6kFUvXUkSl55kcL1yAyqVI6ezcooBVy0rK2Nt1lp+yvuJdVnmRI1Nx27Xx6BFv5yQwD1MwLuKHNiG58vrUb1iDNZ6wfN6lARH7DFgVl1JKewpLmXRbNHrxr1yJQcz+daFKC++gL1avMMV+Ynv+d4cCbvVyZycYxgwaLppXaBXvctf91duGHADh2Uexui00VhKU+g+Jr7fTqx57Dp30xkPmd3nSEJGwx0J8PNe4znTNI137hfJi/5dIkgO68kSTdMI+cT7oakaLd3BaAUOzJL7PdbduB9fR7shw/3/Q/sz8PiDTNECWDWZFc49LNz1LJ1npOE5MhksEtpowRPYERZY7FPdJ6DEZvskK560M7lo2QC+LrCh6S+ITTYm394ZsjM23sQFq+8hs7usz2Pq6RtishiJyp6JP9ZSZYn+FpjpkOg+IF6AnBi4kBxOIrnF7Gy8jsiqf+LSM0cF8U7D0Ob/Cl6HTizs1J312g7j5ZmUfSinb7yB2drJ0WVrO9YyySHjkCTG283Z0ncbv2SnZye37rgVgJLuifhb4S9FRtl/ZF1HFJbizjoluvypYU9yfWQeWRHhGEXvhtMpYHN62VN6/33kHjhOTQ3J1mRkLIRtpTzpkXnZp3JHV4LrDGyUtnL22rNpyOtEyRKTv5Jro+V4J9udBvynxdrON11hFvsjfFaebdpHlySOT7bqx6N3pa8f9ygtU18lNEQceeuAT+hqfhVfRuJStseqkBRMA03ikHQBHRk+dy5KDIDUOrwESZIYfmY2BdP2E7bpg6MEO0s9fHR4A0Fb4myLNydeglUCTti4mzO3/kpKTPM8gNu+PWD626GIylNSOMDFWxYz8NdlFKeaM1DjOtZjc7rZqveSqK+vZ1ppEueOTqd43ESOV7eQpD+rY61mWJwSo0//wOw8Th2WyubpZjgYgDZhQsLz+79YSm4+pYcexthaPTPbE3CkpAhnVzf5hReRbzOqIPi8WC75K5ZLL0O+5x7YspWCgcLJto+LP04JcAdDhK0WAglI6RUpmVg0zeCwnHceisPJ3s4wHmsKrxWfw6hLDMdO2WUmrVd9v5T6rghtfsWQfY3p7K2NGU3k/PNN30latxr1RL2p4g29JH79PjS7DVt+BoOOKiBS3Edzwd8wm0Vz4HQAACAASURBVLNvIQeAPcUDueTdxznu2/fJbRGZ7PSOFq56+R5qU2HJ5pWsevkZtqxdSqvnAMsevpud337R5/6GJg9leub0Ptf3WGVuKj8NlchxxHNsSt2lPJD3AGXuMsCsVjN/e2JuUUWSqAQ0K8Y7OzZmbM6VISNmRg92Lok6J1Pt5qTNKxnx2e8j9CBoqBVezbDQ4TbgL5I1scymnJyHP+LpM1E+qPQiHNtFUJX2XifJy73IOsRYihk2NXsfe6isRLrgAtZ+s5BI9whcCeSgC3sqAVKIsQVO0vKXklRhNLo8OfsiJtqE9HGT7vI4C4xKaJeeYW7xiX+f+KWVSCiT1sg+UyVKshhJoR4Z6IBP3NvXTi3irSkPcuGgGaZjG5hlwVkYXzEbOseJ5/AkusbEz8FhaxILSp5gXvndVDrN49ilW24SfSZ8An5t29GJpArRgxZHN7n6nH9MbRB70HjuOh2dNIYasds0Gl2NhGwxjjEayRE9yenMZVrmNO4YfAdThhjz8MHM//NjaMEuvEsWoCXIxmd1+8jwmIPajfo4tnaoUH6UP4rvK9RjkiOVpC0WSE/HpksKL881EivKggXRz9tLJHK1CXzww+HsalFY/+BzbMyuYP6R1+KLxFe7xqWJPlvSkiXIf70UJdOCZ5a4FkqSTKQXzKK7V4sASwzk+x09SP3/2DvrKDnKrP9/qtp73H0m7u4kBAgOCQ7BIbgtC4vsLs5ii3tgWdwWAiEESEhCAoRA3N2Tybhbu1X9/nh6uqqmexJ2l33f33vO3nNyMl1VXV3yPPe58r3fW+Bp4YllWtYjEFG5evt8w/c6M/6RLvCqrKAWpFUUhUBTYhh0yOuh0leZsJbun5GZM2cyZswYRo8ezauvJiaL+E/Ifx2P30A6Qu1E1DDmCJisYRoqG1BtMuF8YYArF18MwGi/MLrPD5xGVPdyck05AL60M9jVR2AFXZlCSWZZNSdh5tCZRExadMQRTsYRTiHBXIpJ2uz2uKZ1mEyo0WyL5E1MzfZmppl7U00Eox3QI7pFoWCrhu1Vo6NnWNRRqrAoqKgMOT2N1AILvfd/GTs2945zKRsTH2GucWkT155iIttbjHWHBpWq8omo1pzaORxoW8rbGSZeTzdh8W/j57oPeXj3w7FjNw6YwblIREyZ/KnPnyixFJAfTepUD56GopRSMOwcjr/7YbIc2Ywef5x2L0CbU45NZPVkQUsphcNI5cJollwuTJKJm4d8QFvBY7j0jzYBM9G7be8CUO4tN2x/rvFl3GFNoX3ATnwKbEjgsAFEkEnN2wWA06wQVkP40+NpWP15NVSOfiZuO0BH2MLlGx7hxvLHub2XMC6Lygax5Ayh+NYMbOEPfQVGPa/4Hv6aotUXTF2jMLhcAQlsIXHdZrudg46RsWM2hg+fyanp0M6nqKoB8GCJhMn3iheV6e/ggn1LGTHvY85c9SW/r1xMcGQmPZKbGOrajqozBHw+bfwOnnouN14xleemJHOsZR8Zsi8G5akfNxYGajzsg3PtSJJEIKr+FpSJRVwB9p9w5mHv418RSZYZcPIZ+KaeIQoMOzM/ZjPKC8+jXKjBlfT0utJGjXZa2rQZ08MP07/vYE7eegBTo1jYlKkasxqAxe4kUJBPOFtkQmttWoZT3mCMcqpTT8eto5ftsKRx3Q8B1kYX48OKQzge8ocfxTYp99+PpHvOsd+54goisz+PY3OR6uvB4eQlt8LSgEq4jwavuvaratr8EVq8YRo9h8c1W5Pi9YpeqgqF3u13cAdXzn4Np9fN0N0bsAeNjHUL9n7B6z+LrMKhVb/EnadTTsg5IWFdWlfZU5DDS2ebcJq6d6gc0RoHbyQxM1IimacLKD2jYyIsNUlkGrLCQXzRLEZql5W+xCxR4zcWzN6YP4Wz7BIPpJooNksMsWvZ9Pk9jYEDgMb0DExpxbjDrXEkBIquUaQ1bGaPu/uiYgBVx661q6WNfW3C4DL9+R5kj5ebZrtx7pvKCZVGZ3jB3LuYueMfJPe/n5QBD/LoCXnMPPY8Hh92Oyf2EuPi0y1+ftpnhN18OuUP3DxOZFc6okGwTrbjYNSxU6Qgl24QxB1NwSYkk/aOpvZPwSyLdSPFKpPlNI6H0YViflw2IhVz6hZs+V/E9sn2St7reJdwiZVNrrUJn8fqnEKmrOpDWvh4w/aW4lfZ4d5JW4pWB2MOaWtPXdoe5v3kZmF5K58FdAFCBWateZeXyv/EI5U38/zB34OqkuR2I+ncRrNq5sr8KxmQPICLii5CHT4cZaKOqdOvYC4U8DI1yxgkA/Ctic8QZnn8HLVfG2sRSWJegXg+rSlHhlQ6jxG1bZbyIOF8M4pd4t3lu1hXVsC3w3tTHSWi8eaksbNUouqQgOnO2dnBvctd/Pnom9icXMym2niGyjfWCkNfevttpLY26OiIOcELgwEuazXWY7gt0XE9cDDmuhCm9gjP4OVrqZE6p7DPXlhmzLye/2klFlU4ZH+cdKNhX8iX2AZTVZWgW6NpNtvsNKfFt0tQVIVwIN4Z/zWyfft23n33XZYtW8bq1atZsGAB+w5D7/5byn8dj99A/N4AKkHMisJA+964Bm5kiKj1D8ki45GxDbZFC3oHLPuBa74SbBS7+osoQCB5Mh+N+odhwXJhpSNb1BhcVHBxwutQEqyFtm1isqlqCFWNcpe/I+hs5ddeE3AOnXiaw7gaQoR18CGzLqpmc2mLkXd8/IK6yxLB4pAZeV4Gxb87Uduhw2zrvfSqDi3jIUcXn+KO/kzdcRP5odIYBOHzms/5+6G/U2aWSI7Ukdb4fNxvq9GGfJe0RMhmMPu330azLYvgxMnszhGY/uxeQw00ja5TU/Ae5WTBaCevnJHOKU0RvvUpCaEe8qsz8alqLMOxSdcV2PS7W2PQNUVV2RlSCdrE+3yn8h3DeTZ1bKK+SXOuejeJDIRJ9yqGt4YpahIG10KmYssVjocvawdmKbGD4ju9BOT47Ev5kkKefjcasaxLwnzDjRCJIEkSV/e8lvdOP8SOni6SVm/CdP4FSC+/EjPa/9bvRa78XuHBTxT6No5GiQ7t0QPGMi9vPO5oJm5x7gTOOuOvADTa4+ESk3ZphcfnNxvH3FU7tGjQ2Qc0g++MPT9x2vpFKLkOfBMHYTKbyeqpRboOHDjAnj2aQVNeXs66FcvoaRLvIT/qDAZbWxNSGG4fPJEnx1zKhwNFTc9bg8/g91vN7Gr81xT5kcR13LEor82M265ecAGKDhIBoshZ2rUr7lh5z17Miio63wLKlOP5rO8U8Z2UFMw9e9KhhCmxBsjs2YfZhefyTd5pjLnsWiS3FrGtTM5h2qwaPtoc3x06IHffKLFvZy+ZaMddKVq438nY0rUIVbn22sQnampCWrUaqb2dWNmBzURoiNCVda4wc3d2cMWcaq76spotdd13rrc6kxh/1c0MPE1QI2f26IUpOn/XDp3IMWuMDEi3fPAk9kD8gj98Xzpj1xmvv9MxALi3772MSB3B+HRd3xQV7glcQVZ74mfWLxCfCTSc3yTO3+kEtIW09/HJaC1SfnWphmn/OIrjfyHNOKbTZcH8p5fOTEqazh+5wCHREmzh3p1apPjcgnMxSRK3ppjIjdbh2KMOW0VREm/0+ZG2Lv5dXaqLDc1LWF7/JfToYdgnhXwxPX9x82ksXjuXw0r0ute2ruWub9u5fZ7HkG0wqfDxokeZdlBAcn4Yqt2off1a/tb/aWYOFXMr3ZJOn6Q+3HaUkWWuU/5wVBZm2czp/dIZV+SIZTycFuO6HfFra11XxyPVJhNFCcc6lOvllnFZnDkgheG5yUiSijVjLfYUQYDhKP6YQz7hyH1c9TFJvZ9BsjZiiYRj7EkZwROZuuJHHnv92bhzv7OtBctuje7VHPHz6ABBtV4/KkJraR3tXWpZ0kJp9IgW3o9xD0b66k+cM+dLps2bT1FVFR2KjbDaSfusDRblgftR77gj9jlpqRvHuBtQ7n2I1MnxBdmRunimM3uXejQZMEkS32ab+Ju3a2NYHavX6GtIPusN5CShW6zLWtm+cSHtchvn1c6lIV3M1e3fLyTyxz+y7V4BF+3wCB2yqtI4x19eJTJ4GXZt3nyz28WmWh9S5zW2tsUIYf4a8lEVhVz2iRZ1hyfeStK0F0mf1UHyEjeWNR6+IszTqg3Vqa17p5SvptkbpslrDJpszRHrlxwN/ga9Hp5uDXBtg59r6n1cU+/j7soapm+v5LL9DbFtV1W1c/dBNfb5mnofd+wPc9HWQ1y0o4ILtx3iou0VsX+PlBsRBYlk9+7djB07FqfTidls5uijj+brr78+4vd+C/mv4/EbSJYzDRQ/6R3VVFnzkdUuj9VqpT1JGMU2xcIv2SbutYiC8YjJzJR1gm7Wl64pyrk+o+L4c3uEsK0X1w98k7MKtahsySgnrpOT8Q2z0zIh/nUq1WuobziLhsYLOdRwBXX+OkO3TNOFF8G6dUitfqQ338TzdRvbPm+lo15zCHpmaIPYe2IJvmF2Av1sSD5xjEen5OYl6XCHvXsTmf25iHbqaloCOqjA59sSNyYraR8APjObOzYbMM9hJcwd2+9A6tI7pLH4Le1DSOHGb2oIRODHu54kfP0tsV2ZPYyQgUi2GW8vK+v7CGdEAZ5PgJ/ulKe6gVX5ben8/EmQ6q1eXu6IcGtbhPa8exlSO9lgTHTSBG/oYeWHXKOVsKWnMF6uXtzOnTPfZlCliHD8Q5phOC5sMXK3JzeIzIM/qOGs1Uozm94YyKY3BmLaZCHLrWMTammFNnFNaRZNWcrPvyD+X7aMD//u5L6+95G+RsCaGrOHc8K+K8gadj4jDtVT8e1ykCTeLb2CV3reRIcljaDJQuTddzjwWGJ62E4moY6wyHhECh1cfm4J5+z/OfHxOjkkWTjpnsdwpWUZltQtW7agKAqKorBu3TrCOtaPycvEeYOyibVr19I85Tgi998f25+d7uCn4pGxKNb127/hmm3f8PSXO6iOOsSvrWnm063xxvlvLepNWiRMLSmB5HiscUSSYbOou5A3bkR1OvEXlTCrn6CfVE85heYDewkH/LRXV2BLTuHUvsm0ZvQSDltNDerAgSg338z1J/4JgAV7BVRqbJGmE6yqETtsz9Wc5FMbFzPE4YHCLuxBnRDOLo6HnqhB26ga6sv0MyqSr13HbF0X9D3Nh3cGN37+ITsXfEXPSVNQIgqRUAgVGLs1cc+XETsSR5r1oqgKfsVPiaOEcwvOZWjqUP7U90+xbMfj1tu4dc9x1H7/E2csT8xuNPH7w2dGQh4P1pDEiwcEHe/Mg8J4HpZqpCw+IVu844AuaJPWRd07JVE7eLVT5gaTcMg7HQ9LVF9KkXZuSDaxuHFxTBedW3AuFxReQFdRzz6Ltb87jbsuF06fqQuKJsUfYW/HegKKD/XUUwiWamNCUlXmtmtkEvdVd4HZdZFH9jzKzZtv4cl1Wk3DyprujafjJlxl+JyuOMi0GuslJEliXFE8DG9ssbYt1S7T6ovwxtoWDrYaI8q2LNGIrsZfw192/wVMmiG7v6WbZr1RyU02c/2YTMwmmSEpQwDI6jGL4sHPIFvaqAvUxeo1ZGszWdnv8fiKv/Paj88zdM9OjtsgaiodAT8W/3ayKzXHM1RrpOk+3fkgfZL68MawNzgq6yjsNu3+yiPCztidupusYCqqEoaIeO/WkJjnfQ7VMSc4jF9CgglOr0PZJIJR8tNPQySCqTGEqqrIZbrMppwgSJdyGLav+4TDa5UkzLXGrJtjvNbTzFIy3lAL2+SvZE/HOlbs/QKzqg1GNeiHcWMZVXwspzvu50jyp8nZXD1Kqz2buVpX8N3exitbW3m8C+tVj6hD5EZFNms6zq1DlNQnaQHNW7bMYVWljzfXtZIWEJmLQyla9jnSBYkS1pniJjVCMGK0MySTKS6gLUEM2qaE//l6j0GDBrF8+XKam5vxer0sWrSIqqqqf/o8/4r81/H4DURBZmjHPsqL67DKQZzRYvH6iMr6oMJ3ZidnP/t3HAGJsd5JvNlbMwLL84twPikiB5W6dPPesEpbdHC2Kirl0XmWbxFhp85MfySkEsm1EBjmYIkzvkCrtWxx9K8IDsnLxtqbUXUriCu5GNdXB0mb78NWm0M/i4mhDhPeVnHMkPZnsCybR50nh0PtE1AzrASGOfCNcxJR2tlAmE1qiB4pmvKpcx1+EqzUFV5FVNinMypGX6QtHvZwtLvxXo394vKN8UWOipwGsk0YNGEFyxadIglDJ+y09+Rk7Cnxke9HEzgTdREVNd1Y4KyWlLA1pMYdC7Bs0uMoisS6tV7m6dakquIZ9G8YT3O5uMev674mw5vP1+OT+eNIB8ujhWQRCfYXCMdj8vGpFFf/xOnL3kv4W27ZCAPJ3mekn7RaR+Or05zT8QdqCZm1cOW+XmeBSyhDveOhF1uLiyFVcozS1e8QafUsdxKFbW6DEjVISgpjeqRx+zG3xu8LBGiIqFi2tiABkWw75r1axqI6p5tzRmVVQOHydthcbCycrq2txdulXslqtSJHjbStAwdw6NAhluTlUZ2jwQPOH5zKsHw7IZNmHJ6/7yfe+P4Zbvi6hjpXiG/3uPlo8+G7dv8m4nCgHBWFNGRmxmVo3IOHMe2sp5naS6uhkLxevCEFr8XONz2OQh021PAdu9tLkkXGF1bhwEGkujpoacEzOb6/yOn9NEdnS+oQfLKN9tQiZva4nk+cxnqGK/OaoWsNiSeaTdHx/SsXXZTwVk0XTMd0jzA+lGMmU6C/VZNMuCQeOqUv8k0knbCElvJ9tFWWA90T9Pxa+cvuv6CickzmMQkN871z5+Lan5jA4HByQVOYd5csYfv7r9Hy9jec/6MWWd/evo0T1+ZS1C6eozflVBpLP2RfWNzNtlC84/FSuokLHIJuFuCSJJmBZqHT6gJ1HPQeZHatyDjY3csIKsGY0wFwXsF5iS/UZCIyYmgsaPT302RqMuCmW0ys7yPxwOUyqwe18NmUKhS7jf2P3ML0e8z841hxYScurUh83i6y03GAne6dNHlMBOp11M5zEkdfI+mpkGKEdpquTezYrKmOz2yl6DqHp9pMtPkVvtntYn2NllX73TFuynKEU37ndgFBlaL1cA+vfJvf71vEgCg19PmDDw8XurP3nYxMG4k77EY26WBy+wQsdkTqCD742MfQZpE9fPmFR7jyW1HzkN/SxNtPv8HAiiDj92+KPzlQmiQKrVMt4jpyvFoAc2lI6MoBwVKOf/8z3F/fjBr0GL7vVMWaWx3tJxbRoSBMjwnnUVqzFtOyjbi/uhHvT0+QvEjMt+De7yBBkbNtyPlx2yBaazdCBwFzJoFNW4NMOfFQzU4JRsdsQ8R4/SFJ6CJJkpi14fCQX4CBOTaG5GpOQocuYyW1t7PgoIcFGO/pqu2i5svVJZO0Bq3GrVnV9JZFidDqj1C7p4I714v+ZwEdDbAvrOKNNtT9Q1YyLxbl8Haeg7fzHLyTZ+fZ4oLY57fzHHwyuIwPBubzfG8zM0utvJ3n4I1Ce2z/W7l2Ph1cGvv3YI8uRB4JZMCAAdxxxx1MmzaNs846i6FDh8b1evlPyX8dj99ATGYzVad4eO94Exe1zyYY7Xb6REeEP7UrfB/V8UEzbMx0sl2Hy71q3myyDsRHDJYEVM5vjvCiK8IFOmhKZ/Hg+MuzSC+y0GuiNtHer3yfvxa9zXrq+K49hF9RsfiMhY2jkiK4PZ8R7KGgSCbWjrmHkv4CEmXvJQwSiwSeHQfod+4thK/bQ8NF27hv+QM8svoSw7kiciu/x0tAkumZrUEN9h0hGqSHV4GGsQWQdUZI/0YBQWoLJ444904ehivzGlrzHgDAtrgG+/e1SDpMeNU6D3U7xOJjdSQe7suD8c7EtxVB1Asv5L4b72TK658QSE5Gqqwk95C2mEquEE6PuJePj03BY5PYVWx8l3uLrEw+eAl/rQ9zqM7LnNo5+FK0ouaqqHVUnaVN+LxQHRIqI3b9TEGzwPJvZwjtiIWl/lhRGFmz14HZl4nVY4wuyXIGZadeSv6gYRx3vFjIgzZtcawoPZnITysIuCMcWqhgDTuwyQka2732OtKPghoxFI3ymKMLZ1iOd+CuaFwHwAKfwrbJw9mWZ3QQ3mrwcElLBFN9FP7nMDH8Gw2C0Zgez/6jl0760MpMoVR79xbFtitXrmThwoWGY4uLNWMuoIPWrVy5kvZ24UiYZInjeiQwciMhplSu55l3NUc+3LVW6j8gUrRuQ83MAB0FrnLppbTOSAxZ8kUN0ZSQD6mikgGS9h4dP/+C0yQw6+GD5WJjJML7G43zaWiezdATxWdyMuzm+8iadhWKZKJKMnZjt6pifqsTBA2vOmqUVmRusaAcJ/SIeo5WnBoJh1DCYVAU/BYrLVH2IvXMswx1aqkdrRSmxvdncAUihFWVi5vDLExEmhGV9urDNzP1yocvRPdbNV27x7MHFdgZLqHxV+KoS0ZPoH9+WbdUwQCtKhSuXCI6PQPWsEyBTczhnkoBxY0OSleI5+nJEDUGT7vEdek1WGpUdwy2SNyQbJyPdpMY8y8deIl7d96LFH1nsuLmyo1XsqBhQezYRMw5ndIJ9+2f3J+dQ9K5/UYzzakST11gImCV2NnDhdcRYXXFT7RWCidscy9xYWpREZ7hRgja3WXP80CJVsR6a8H9WsdwxaiDjvlpMYlEOuXUuKCQ+MH4Z57IX9VH0fVsagB9s6w8dXIep5YO5qz8s+K+e82wZMbX78Q57yuePTWfeZeVMWNkRtxxerGrZqbWlaCg0BpqpXeNSoZL5YBXOBoXFV2E1N59B/KS2kYe+SiCLRhlrbMbr7nd5WX27NnU1wvYUl0v4xqU0t7Bsa3D6aRQaa80Bih3htwMadpPCDMB1cSWLVtobW3F5XIZjmOmoPxW2g5BKIQa8hPYPjvhNUuOLDAlICTo0ixYGnMcScfcHfvsN1kw5w8Hk5Vwo5EoJRR1PJxd6qEqHUU0e8Pcu6QrbEtIV8fQJEv0y7Zx75oPABiUpXtem4xMfp2ScVBQm79JgG2EYz1nXsaoF74dr+lpc8UhZi58krENAmLvmDiNh3EwFBOypBJqERk9ixIiKFtp1mXsLDpnzpmTz/6WIMGQFdUs47GLcWALyoRN4jpsv6JWJpHMmDGDlStXsnjxYjIyMmJr6n9a/ut4/AYiqSrrfCJaWW6xoEZU6gP1bI/av+tDKqgKEZNKg8M4GUuPupekHd0vavP8RmXa6XhYk0wMPycDk67+YlTaKJalrufT9KX4VFjUEcadHR8l8Xpn0/THME09+8Tt65R2qQ3ZLBarYKFmqPjDukVfF2VOs8s8f6qIvLyyKt5w0MusbULJ3n10dvSceoYv7c/S1sGHPc99hXeR5T8axSKUWSdBk6yj8108zMm2ZvEi5MM05+uUEzaJe3Jv96GedCIrhgv2oB9OGowK7CsuYcxeYTjbVjSg/CKUR0WuhefPzmDp0Pi6l429bGzqZeMak5WIKYvKIi3inFwrIr+r+mvGsXWdVkBZ0CjqFJ6Q/sLN0rt8iRadfNVmpvfPzyOpxiiFSc5CNpkZft4l2CZNwuvIZesQY8OvX1wnsuq9ZlrKg9wSvI2XQjPiH4bTEYu8h6MZE3M0bbwrs4ykoJcrbWuZYC7n9e+fZfrkHgC86FaIFCfhe/phbrz/SRYOE/ULP7cYo49qqpVmHX3mzm7GY6rbxZ/ef52kKO2gSVHIyspi2LDEHbQB0hMZJlHx+7XIZkM3hct/XP8JLy57hftXv0dpRx317jB0NT49nvht/4Yol12GmpaGesUVKPfcg2o2o9x4I66pZzK/2UZawMWYem0xVgf0xxedj3ZZgdoaUus1FhRZVXFWlQPgTRbPWfnd75i/R7zDG8YKg2lrfYDsaHHs9WMy+Gx6Cb0yrBzfS3PKPivUsmr7li5GVVWUu+4k/PksIsXF0NERM/zUm24i8uEHhqzND888wo8vPAYNDdzxh/s576koLXVyUiyL2M8MN/zjOS6c9y7mLj5oW1Dh7KYIjQo83xakbseWWA2B8iuaau1J6kNIMvNpkTFz8Y+zjJHy1cOPonpoNCKrQtjWj2HvfsIPr78QOybg6uiWTWbQ6WfT46rrGNCz+8htiis+kHLQ1JNL1l9CQ1Dok3ZF4h866tvyiMigd5KSPJoqGwzortJZOxL77F6Ms202DpfRmO+si+hOiuyiRmVK9hTeGP4G5xfER7JPWJdDxweLaJstghQH8yUqsoGiQsL9jNfRbnKTVVLAG5YXcM29nideb+CKJRHC3h54y+Pp1LtKw2tvoV5wAWTEG/vSW2/HbTtvkBj3n15QzAun5cfWqE4ZUWCkh93bHGRwNBruNDmxBVUu/CmCLahycs7JnPfKPQmvS3rzLeQnEjehW/ncY1hm/cS01eJ9/vX9CG+8qq1RyeYjR+kBZsz9XPwRhSqfnSPm+vptohZsw5btrFu3jjpVzIeUoIcRvnZOX7CAvK8ejZ3HvNOYSRpfv5NnfnmdS3cuYk2ghLbqarKvu570q65GdThQc+JZ2SKKi0iHBstRCwpQS3UMfY50zLnxDQu79udZuKiNGou2Zl4heXBMuAUiQYK7RZah/bw0fKMcMcejq/TyHuKtnw7G6sDMMtx7jLjmvplWLh+urQVzLyomEKUkn1yzhfG122loFPbI+tx+tETiTeKvvv6zIXt6I16ekg/RgZcck9FhbCnQ1qRL39for1VZpueoozgRC2PNZiRFT+ohnklE0vRlRhSe7TKnUBFt+NngCZMpFRvIACyKCavJQVLwX2MEbGgQ+qayspKvv/6a6d30Zfqt5b+Ox28gkiyzwC86Hf+QXEafjj48uedJ40GdUULJ6HjIDjEpXlknDN7jJLghQd8OgEFmsHWz2ITC5Yy0HWBCUphrxy1kwHSxggwouQAAIABJREFUoIYd8Q1rYt/5vRVHgtN5FZWcoV/G70AwNFBbi/Tee8gffRzbHqCZvlkiuuUJqSza6zI6KVHRR46LUoSx49MfF92dVmjBpCZO+4U6huCvPZeFHzYTq4PrJiItBSK8MsYIT+uUoKryaIcRuDzqgFBurckmPtjlQm7wQUhhk60Rv9WGKkGw2Y/Jl9jYCengcpnRKOXC0ZoB11L0ouH4zWOn8+iFmRS0auczfSyeq3LllTz2urFeYrZ0CQcRWNzCphF4+lrxTDQqnaQkzbgKBxRWjX+Iw0mPT78j82lhgCjnnE3k/fcAkA4chFAQtawMjzOauo1GwRocGZS5G5AkGGBuxOFQUPqLRmdjogGk4XYzYyp3sbqfoJO2+/0Q0t51WX01E5cJHPUzl17Hz8PHJry+xz9+g1NXLeOPH76BNRhElSQmTpx42IZYPXv2RElNpWbo0Lh9egzz2QMExGhPenHccQCTarfxxg/PUnr1JZguvQw2bBCdxRcswHTlDOR77+v2Gv5pGTIY5e23ICUFiopQnnsWacN6nv2pjq92ufh0wV94dKVmXEm7duOJwgScFhO0tZNdq+HiC9o8SB6hVy7Zm8UFpz+CooOoTIvCq07pk0xJmoUPzi3ijP4pOKNQFL1hW2/L45NCzegMRKFN3z12L98d2o4UDgtYXlubcDgcRoNTCYcI+/0QDLKzp2gq6DObqK08iEuFbBle0WWCs3LFdYeLnKhWmW+q/fijBtdR65ey+Yt/0LRPRBI7efC7k4Ml/VmUexJ/63EdoS5KoD6nkEp7ERtSxRg92GMcu1NErcKMBWU4mAFAuquNJU89RO22TSx98QkO/PJD9z9oNlN2+VX0OVbQ0yo66EpEVSloiMdRu7JvwpV+Ef5kUcthd7XxjteoP+f5FF6I1p+VHCGI0pVJS1JDJHV8hdQFQtK1LqKrpFvS+WT0J7FO62cVGLMAl2RPp6RB+60kn4knBj5Bbk5fwRBkk1Hs2rU+O+RZrvnjIi75XHOgp61V8R3SapzKsvzoK3+W9tICEqnRDthki6CVctNNMWY3edEi2LEDQto9Xj4inVnTS0i2meibZaNftnH97ZFuzMjYdM81yZzEMdtUzluh8uFzEa4qvQpJV5skP6I185UXLULasBH5yhnIN9yI6fwLYIsotO4I+jmYm875v8icsC6TcJR5LNWl4PSZfrXj0bPikOj6HlII90gmtUNkmLyqlUYliZn1vfl5fytrtuwmz9PMZ98+xN1LXzzCWTW5bPdirlz7Nf12a/BXyeejsbRv3LGSxwURHVPho4+g/OUvqH37gsVKsE8adJID9BuifdGqPe9gfZCXCfB7q7Z216LiXS6uOdK0m7azzKgOmcAgO67ufXlGrNP04rMjJCaWOnluBDyxdw6Wp5/igclZvJe0nV3ffM7S5x9DidLYZgRcdLgDKEjcP/F6Ls8xUqx/O/curNEeU1OztXE1T8nkdMLsixidskgmSMkJIMMOB+ZW8TzyQ5Cky9r4E6ANOkWRJBRdkKPFG6EsUoRqN6PIKqgq8r8BKr3kkksYNWoU559/Pi+88AIZCRz6/4T81/H4jWRQuoisbLEGWDRoHG7J6Dk63KLwV9V1Db55j+bBH9UcYd0iF/dnmzkvgTcw3CLRp/U1Ll5/sSgQ7yItLbcx1FbDRZmaMpDNianaOsVdJ2OT43+rMKsWZ073tGryhx8iz5uPUqtdx7bWaoOh8srqFmbMqY777tn/0KBK6dE0d0hXbO5IN9FrUjKDTk3DnmIcnp79d5DXNhB/7fmE2sbxdmoAn1vcb3aCyLWSbkV2hVBMEhEJrE7j+a6aV8vybVr08e/pMraQiqSo/NzXymfrWrBubMG6oRmz7RLmH3MpcqOfPe0eLMu0tG7qDmMNQFFTmAdmtVDQcuRI7JxxgpGoLkXAbG7+/IPYPvX007CdGd9roh4Byzhx3xUsWevhk+/beGPLlYQVmfS0B5B0rFer3jdmn4r6xb/vnQOvJBxNi6unnQZJSahDxGKhVFQTHDGOtgzRKGufMhzVasVrsZOapS2YS4+fwu5KAXOp63BR2NbI3LlzSQn48NvEud964X7kaD1PQbKZ9x7RUuzfHn08O3v15aHrbufha40d4gdEe4Acs2kt18/9hCSX+7BY1AFNTcjvvY8UCJBTEu9QrNQ1q0q2mZh3WRmWGYkbpHUVaft2pDlfIr8tmMqkQ/E0o7+VyC++hLRmLYFtiXuzKKeewuNRvvhsUxhpp/E4i6KQtnxp7LPb6mSnRcN/S5LElxeXcst4YXxmOs1xUfRzB+m6z9tymJcrOt531FYR0Rl4CiB9+qnA2lcb533VxjWxv3foDPY1vQvZMu8Lbvrbg0yxaTUKAHkBN/5TiggPyQAVZFcI804xV1M8Isrod4n/qzZ1Xyg+/4yruHLpMqSoERTSzY0FI02oh3zMLTiT5VkTeWnsbTRm5RO0aDr6si/fiP0dCQbY8qXAa5cnoNsdOd3Yw6Qx6hi1lO+PbfOqcNbiT+O+m9dQjS/1dLAcF7fvQocEIYVPfCrNUVsu8wgrd5o5ce3WvytmyRyj4wbICRsj2FPW51DmKMOani2yYBBjCer6t15mbP+WoY1izXn5lD6kOPxsyhYOxysDZ3DB6Y9w9/RHtc73FguR2Z+jnnA8FGrMYaYHH0Jatsxw7iTr4R9WJ7HCFSPS+exCLWqfZEoiTefTSm8b2QmlLVvFHxU6+K3Hg9TcTG1aEuWvv4KyQtM15dlplDSkUJGVigrc92ky038spvEbY4+Hw0n65lrxO+1BOpfu7ZF8WhVxD4eUDKpb3ORHO2RnBlwJzwMCKtluNTqoY6t3MiTaJ6lTlrictHVptupZ+jj7d7yFAkQeehDS0yElBeWvTxD55GNUh4xt2EWYi8eT3P8mIjNfJXTvPXg8HjzNTbTXVCL/IK7NhcrrQ8/mpREisBFu3olyvsjsS4u+I+T3s+jRP3Nw5U+Gazjm1j/G3dOzq58k8+n7kZYtY9DDd5H881KkdeuZ8MNs8j5+l+ptAgESmSWYRC1KmFZ7qqH+Qi/60ZqfKErbRZpSwD7l9/Hn8XqxVAt9md+FXt+is8Fks/E6gl0YBoOoWEIyNpMdWZVQUZGk7gNwR5IlS5awYcMGVq9ezZQpU/7l8/yz8l/H4zeS46NsSWvtcDCnkIN5xuhtclvnYqM98qsPJq6FkCWJEToF/WaGiUeSg6xsFUpsfbsGxakP1PPygZcTnqffucYJYAoYFwm7OYQtwVyqG2RUsC1+I2xl734RVdUXGMu2eGfIHVTwhRTuXlTHgZYgm+uMjlDnhHt1dQv+sMLv5tWwpd5PyUgnVqeM36UwY+0TnJNyD56Dt6AEc9lXeyUoWno8cEAY/Wd2CRoEjs5FtcrIrUFQVX4Z5DA4Hkv2u2lvD2E+4Mb2Qy0TdrfRyyJjz4ugyhKyrr+I5ArhjJRSlz8B68b4DFKw0m34XJ1tJqtpK5PWfxF3bKd0Qro6pSldRJ/P/VFXq2AyoSYo0PWj3X8YlfccftbUjSZgnYXNpjWW87aFiXSpX+l9Yjz3OoDPkcv6kXewel7UskkWC82WoTexvP04AJqTZSqzzNQMOQNPRg6tJuO5O1wu5syZgzcUxqQoMThKYbsG/0lubGfB3Lt4zrQ1tm3VYAFtGeZrZ9mo8awePYG3z7+M6myRZTHrmiid9+NCXn/yfuQvv0S+5BIKqmtwuj1IioKkKPTt25fhS75Hnj8fKRDAlJTM3txi9md3YWHqIqVHjyLy+GOHPQbEQkjjkakK/x1RVJU6V4iNbuFcpQfdCY+71zwyVuORbVGQWsTY7NHYRo9GYaQfW22EWm5uMjrDFpMUo3ZMJJcPT+esAVrh+fSxwpHbOOsD/O2a075weG/80Tqbpk3r8XeIeelpamT7PK05WOX+XaS3C2fYYxeLqqwqJEkS7TVafcaxP3zB+5nGBbXfnu0M3rUBt1NcT/N+EZmVo/VGaYXxHaO9kQjm115DlWTGFdtQJZn1aSNxnTCNfW3XY9mnGWZScxCCEXz2w/cFAQj7NV02cvrlnPLAk+T2N0JLikeJNcDXrkXJvd2UfhQ2iHs/f/77sW1yNFOS0uLH/kMtUosWqHImCBjpRZZkLi2+NPZ5QPIA3hlh1Ov9kvod9hzdyfiM8Tw64FHGpo8lWzWuDdkdNjpqqsBuQ6qpRfr+ezzHJ+MfYqf9nDTULnV25dFE6oV7f+Dp5X/j3UkWTLKJG0aVkhTysTZvAF6LHbfVyZPTE4e81ZNO1BpaAvLrf/un7uehKbnMu6yM6UPSMOmea5IpiXF7dPWHCxbEf3nvXkx33GnYVJ2RzMYe+ewuzEJ5Scs4BKMZ2l2F2Swe0oMdRUIXb98iHPPGFAffDu+N25bYCAa4dpGAW2UHjfN4RVhkwfdFclgfLsakxqMNusrKC29kUdn4Ix6X523hnklGqG59ahKbyvLYn5cBCaBYgSF2ZGcWvrEX4jaHOXColTkHDrDgm2/45bVnWfX2TDzR2FGu9xA78/JY2EPUjCnPP8/CjEGcdvazeL74iuaDe2PndQZC7Mgaxf4JM3CkZzLiAi1gdOvB1zmUm8ba3oXILxt7acjz5xMwaWNv2aE9HOjZEym6Rt3Tpb+GXiJ3Cjphe+aR6ygCrhakzAQZD13WQvVrek6VZErSLOQlmylNs5CcrXuWaTmoCbIZKlG+h05oOTLKv+57/K/Ifx2P30jMso3ewSA9giEGuPcbd+qUgD9pEr9GnkqTWZBtYkmOmZ5miWs3a3R6FT4twnL7tttjDsmRpNfPxuZylsJNOAq24Es9gIpC+YSH2H3yDPzpWlfttKpjuOfnBw3fu23yrajALccLhWtO3Uyz4ytagi3cPM6Yut/RGGBnY4C3NrSyUdfA54oR6Zh1Sn5dtY/ythCvr9EM+yAqC2xmPliThuKPNyoAnH6VJ5wS/i48/6rdjKlBbJObAywb4mCtSeL1NS1M++gQL67UdeUNKWwq97DXvZ8P8kUBneTRorlSRMVnlfliUjzFaaeYd7RBQINUFNX8zIVL5nV7fGGrceFoihZWm6IKKvLRh7F907o4Vbv8Ywh5RUp0uV07j7cLtG3HgviCRakbgyVgTaU9rTf+ToavhkbWDxjCmkEize6RVN5O8vH+OAc7UybiCoNFNd5DKBSiwZlCY2oGis6Y7ZOmRV9v/1pkdDLe11LjE7YL4/iiuv2MtEj0NsO6U6Yy62aNP76rmD+dhRQMcczPP3PGvHlM/+xzpn0zj+HDhxsPtNv5fuAYFg8eF9uUnZ3Y+aJ/f9QE/Vv0Ivn9yEu1yJuanbhXwL8jX+10ce1XNZijdGypQS9mJT57thttPFqcmuE1YNzRDDhJZMok4P7V78X2/WOLcAgennJk1hMQjskVIzTjcli+9jvVm43N3JYOKmNTaS7rN6xgy9xZRMIhWiriWZ+u++SFuG1JEqx6W6s3SMkvpMgk8XiqHGsuN7VhIacvnUPQKq7B2yrmcCQUAkmidKzWC2XFaBG9O1Tcm6+iAZ7eGXZenlrAiswJvHcgXp9IKth/rGNf8a83yFXZTHZfo0GsqiqhiEpOH7F9x/wvUVWFZm+YN3+JD9CA5mTomxqmeMS7Kv/hF8a0rse2Vjjgf0z5dcv2tLxp9HaKYtG+SX1xmBy8MewNiqONARWObJx2J32S+nBH7zuwROL1yep3XussQ0D6xycoKSb8IxyoCSDE9RnG7+ffLbKdfdq2054G7dZ4J1BVVdqqKrQ6G1mGw9R7/aviNDmpzYy/v8jDD8f+7mRn08vmUs3wrMzSjNWaTG2+hrvARFVgbS8RHNmXl8HPhcOYfa5WV/X4WGFgTy1fhSUS4tYRIlNRKrfSVcKYyPMfmQL80Z+auo306+XLPsdQnlbIspKBbI86S+GoEe+xWigv30vNli7NSe0ynqOTmGNbzSzbCjZUbMPk6SBlrxYIqYmul2fWf8upjVqvnYf2WPi4TTy3Rkc6m2d/rDsxfJ86nuSaelBV0gsTQ2QTSVOKlt0Jq2E2DurLpBoRANudWRp3fJGrAbWsDI46isjsz7EnHZ6YAiDNfQivKcoEabLgT/B8M6yac2FKy8HaGiFVkrGZZSRZJiU3n5TcfNKSEkOwwoCkaONSkuRYfev/Ffmv4/EbyeQeGfQKQFCSyNW1vbcDGbV/jn1emGVP8O14MUkSlm4ikcualxFWw/zS3H13Xb00Lf4LfZf8HVmxYVllNObsR71MxYRH2Nv/CQKpRtiIrUM0kMq0xyu3i097OPa3OWk3kgS3bL2FVTWNhuNmbRWL55Y6v4GX/4xo59dOefLnJrrKQYvCPkvixbEoLL7sllWG2STWVBszCHd/pSley7ZWzLvaeKg5HCusTSR1HjetTgGhMpUbo8w/D7QZnBGAHN2ia670ULZ8L51dpbJbtiOrKm8+Lt79JQu/NXx34pTETkzkkb8Qef010EXwbk81c/fG5aCoSO1BNkhjOLjoYQBadPSMYR1kbWVA4YmJyYR1zzijVESYJ42tIr1NRJH67J+Diso3o24grKMKVA+Wc9dt9/HpMTnMH63wizOMFFCwrWzgncIwERUsUoSA2cLO/DKCJjN1dXUsHCwiaNUZmmGbmqop/ClVG+Pu+Y7bRJ1ERUUFdgn8KrQoxLIuv1acPl+sBiUm9vj5pijdG1zKzFdRi4uJfPQhkc8/O/KPWqxxTTj/FVFVNdZH4O0NrfRor2VYlF7z6u3zGV0vYDuqJBEuKeW0s5/FbxYLU5JVNtDBqeecg3qGBtGbVLuNz+Y/YPi9krQjGxydYjVJnDswlRdPy8eepjkhB1csjTu2JkOM69ZDB1jy1wdoPXQg7hhxkQrb+2pOosNnnG8ZJT0AGG+TybLIMagUQEmNOGckFGJ/WKXN48HicFIwdAQn3fc4J9//V5aPPYFnbnwMNSzxXpTFa0yRA2c3UB+92H+ooyk1fn56U+Pxz005/anqiLCxVmRAOgIRzvi4gnM+qaDCp8EBX6lo47a1bYxd9lLC3zx+5QJ+/86jhm2nuxqQa72MrPyRo9qicDVF5WT7r1+2T8wRjIUn554MCMrVE3JEHUkvZ69ffZ7uxFtZk3C7Z5zobo3fD/U6tqEuc+X10fHUzkokzPZ5c2jIsONxqgx07eKKyo9itTx7vl/I6ndfo3K91vNDOc9IKf5bzElbROaoXQksugTwzU4JdQns7Cn4dYGJiO57NRkpPDH2cjwWobtUu51firS5cvnORYwuyyQjI4MUKXFjzZPK18Rtu+H4u9iVIQzshyaIQGZnRF3ta6zjWJfbnwcnXc/8k06lISmVsa3rcGcGOZSdxqxBE2OBJVWC3Yvns/Wrz/DpMqD7li1h3ocPYmkR7z5l5zqcFcbu9U1dqGnzoxDy9TV+WkLi/CGTcay3OAW8N3P7JqR583FefS3WRBmGLrKxLI/NZcbjHFX7ke68Ie7Ygc3l2CJBZoT3oTynNXDsmhk+u0CzZ145PY9zrVvIlr3M8v7E0jOv46LTHubFkQJy75l4LhVyE7Xjfaxt0lANaUGZMAqySxuvstmM3AVK3DNDg1x5UUHPBIoMR8iA/v8m/yuOhyRJz0iStEuSpC2SJH0pSVK6bt89kiTtkyRptyRJCbpP/f8pVrOVZeYiaixmUvxax+EJNglzuDb2ubW1lYtXL+aWVasI9LbiG+mg/bw0An2tuCY7WNa8zNCxFUjIoDK3di4zyxMzktSHJNrC2kCcM2J+jDK2V8cw+n33DhaPkd1DLUtc05HcMIqGKCXvmwe1yEO7TcP3m5I042KnrGvkh8h46EWW4JtLS3FYZEPGo1MUFbwhhcr2EF8nJYai3dJuZ0xAm5iP/9RIVUeYwhQzx/dKYliejQlnpnN61OiUAgrmQx4sW7svtAfwRM9p3tZqYMYCcLcHkHU0wc4eM7lr06vcvl+DDNWHUrB/X8u02X+JbetTdYgfb7qY6776kN99/g0Ak3b4KEs28Relg5lPGw1CBg1KmLo29++HeW8HtlWNeMMK1ckpRGTw6x6h2yOu+cTGMA90KHQ4ZRqj3Y2Pvj6bYWeKaWYeP4ohfzyKcRPbKK76kRW2MJ8lB1lmF46VqqpUXnQv+CNIHSE2Y2WLRYu4t/rEOX2qhXcnTeWn/iNZ2n8kc0Yeg9sez67RP6v74jm3w8nGAVrxYbi+luoItCpQ2Xr495VI5AeNhfR+fTHj8LFkZ2fT0nKY82Zmorz4gnBYJInI229RWRRfXKmaTKh9eiPV1iK9++4/fZ1dZf4eN7fOr+Wmb4Qh9/qPGqmAMxzg4dXiN9TrrkN64TlO7aPNP7tZQlqjMzSc8e8gJaRBg4pTzeQl/3q+dkmSuHp0Bn2ybNiSkkkt+PVRxtoopnrYpBMM23tW7iOnRTNIHdvWkZSVQ3bvfthT04gENb1xeg8HmSEt+NGrUjjN3pYmbv2qilXlLVgdTiRJQpZNdOjU5TAdJKV/ti2uO3V3stZ+VOxvc1SPVOTEdyGfbxnBzfNqeeD7BlRV5cavNUN8j67Gq+OrJTTrCClM6ZmYnclk6ca+LRjAb9Ec5ZG71uPYpAvkqCp/tf5zoc1js47lw5Efkm3Vsnyd9R9Z1n8/W1exMnHwa8WiuQISEghgukXHVuXzEZEk1vXIp81ho94bX8P2y8tPx/622Ns5selH0sIuGvfuJBIKUh7F+uuheXSlAd25i39XpCjEs2KYRleuZmdBWuL6GRVYPPRfc+ZW9TaOLbMaZku4kC/POZuq51417Ltg31JMskR2djZh4jE2v9v0BQVuYyDvvKmPUZGaz58n3cglpz7ImnwBC+ykRVcHGrN2T425lLU5/TiYUcjUhoVMaNPqqFIs9WwrEWtUbYbmoNft2EI4GKD54D72/yQyGPb6yhhtdFd5CqPTZEvAWrUx3/g8Dzp7AJDp70CKdtkeOWYSG1OHd/1qTPxmE7Xpuv5CZm1N6Ni7zXDsn9Z+xJPLX2fuN/cyMVm7Pq/Xy7o1RmTJlccNIdkqc8fELHpm2kk3a4HJemcH09JqGDP9RHjuLeaVWvjOupnV87S1wmPPpEPx0CZ78EoBlIhCIBAw2HudJpJZlii2CZ0dAuwmXVDOYUJJ+7+FtfrfyngsBoaoqjoM2APcAyBJ0iDgImAwcCrwmvTvVM78D0vAIRaJwU2C21oOt2BvNNZf1NbWkub3EAnU4ZvgJDDYjuqQ8Y1P4sb2O3m9/HV+bPoxdnydv45dbqFET8k5hQHJQkF8UavVD8hdIgffusrYG9Be7QOD72PA+ZoxKyFj8R150ck4dDL2Jm1CvzU4nuP6+bNUbLJWgSfbGuOO0Yuiamw5iZz0GleY6bMqYwaYXo73WnjjmHycqkS/kIkphcLA6oRw5SSZuWNiNo+fmEdagYUzTzLCvkxNh6c+fXVZMqoK5i7ZEwDZHcayQ0R0ZHsVJkclz51fwbzR8YWBP5UO5r0TxPNXLrwwtv2cH2fxh7mtHL/Vh9UhM/nu2xl0UHP4XqjbG3euTrHn5yFFGzNKvghvnZzGi2ekx2AoAE+uauaqA16ktgD2RdXgF8cBmLoUWJqsMo5R/VA/n8UKhzCIGqM1G+tntbKlI4T9pzpsKxswddM12qzzJ9odyTSkas+7tFkHKSktoak0PpUNcOtdDxs+Rzra8SOUq0NnfO7v3YvKw0QaO0WqNPZx2NF3YOzvd9KLYoxWkV8bEU1Lo+lP93PJqQ/SMGiktt3pRNonIJXywkW/7lyHkU3R+qfK9hAm5TDXZhcP/XcTsnh1agHH90ri/mNzUMfpasq6yZQeGw2A/O3MeAP6n5EJ19zyT38nyWJ0Pk9ctZBc3RjxL/sOT3MjZpsdk8VKOBikatNa9v64iLEdm7mkOnH26bYdM+nXuhe/rlvzzdHmpxIwvUtix3GERoSdUpkvsr0mu4Njf/9nNhx9OguPOjPuOK+OPeq+HxsMPYn2twZxTBO9j/p499P3kFb8X3raOfSbfiWuLrVH9pCf9iEiW9C4dycTW1fF9lnUEN9uajM0XD2SSJIU67TeKRMyJnB7r9uZmjf1V5/nSDLxtrtJKjPC1zwJahVMM66iOdlBQ1oSK/qJ+VyTnsS+XC2T5nMn7mnhbWkh6NEyY22Vxgx95B4NWSCt/HXw48NKk4DyFZ17A8oVgjhAuUfQ6SrHTI4dpkyeTGT253HR+V8j2S6x1nQ4jfMjI9SGgsSgiUdz/eIEsKlIhNzcXOQucDmTEmFq+UrSgx5C+Vpw8W8XCsfszOHZtNo1+Nfosvi6hTsn34I7WnS+MVyEJQHMM5FY7A42fPIu6z4yBh8dlYnXtbxAPdaINpYvbP4+7pglpWMMn8sdYh2xKOEYw1jmm3/nmvWazWQNidz94sE92FKSQ8sFxmyYqssmtG9YwQmNGuFFnxsvw6pEaHdYCdpEEKClpYVvv/2WUrmN063aHLaYJD6dXsLxvYRTc/bZWt8igJRIE1N6JZPys/aOOtkAARxSgJAkdFWICO0d7Xi9XgPrYkGSRHGqmEeddV1uVPQIR0n9vwdc+l+5YlVVv1PVGEB8FdBpUZwFfKqqakBV1YPAPmBconP8/ygpETGJ301PJbdjBVk1t7G+TYtEjrONY88eLd3o9RmLrVtCIhL7VsVbdIQ6eHj3w/xh+x94ZI+g7Su0FzKjZEbc7x6VKh7f3DYL3/jO4NKyu2iQRYTxwP5TUBQFcxd8rXddfEMyU0SLilmqz8VcO4Y3bUsBkG21uB0SJ1SsM3zH4lc5s+JMzjt4nmCfMbt5ZqqFo0qOjIeUJInzBh25YAvg+nYbo4NmcnLEJEzJM1Oaa2R86KRG7XRsjgSr6HTXRhdqUUb3Lo0GeYRtG50BRrMOeuUoeYdMSyY+u0RdXnzhb8TTi2/HSjx0d09UHQQ3lX64AAAgAElEQVRAViP0rlhDn4ni2Uhe4/svKe3eIJxglSiN3o91g1gQvXaZynQTSpKmSBtXNGKuEI6gJcoCVHrcr6NrrDErNMgRPE1hlvXVHFMlM3HGYt3RmiFu7WIr34bmjJrMZrb2ThwJPGPrcgByo8NTb3SHTWZ+OlZ0zfY5HKwef+RCSL2oViuHsozZo+ISYRxVdnFQDifZKRZa7anMQ9eoUZJQLhVGpVqSuP7on5FVldpYSA5pjm/XmhPVqr2LHhlW7piYTd8sG8qdot5K+Z0WXVauuxY1MxPlnHNQ8/O588Rivrw4sQP4z4gkSZx8/xOkF5cy6uKrGHPZtQzJ1J5Nz4Z4Q8myYrnhc3Y30ICOuhosDgfuxnq2f/MFB375kf16woVuJFKj1b3VR9f5SVYJT8BomFlMEhd0aSj2wHE5cUEQryOZuSdfzPjf3Y3ZZufKYyYjbYg3iCM6o35LjTGC+90+N09Wi/GXEWqnxKfR6BaWliFJEj5fPFQmR9J054gOLaNqUwKsrfZx+4I66twhIt1QiHfXY6RTJElifMZ4TL9BTC+tSIz9lNQsPIeMc8p93TXGg6POvj76DLCpLP9XQZIC7g6WvaJlQ7wtTbjqNTQBo0cLmCpRat1/U+SXo0HDrEzUM88gMvtzKBMOqXrrrURmfUrk889QbxMkLu3OxHpy8tDEeivFF6CkObGTNbJjMzIqK5u0Ne68qTryC5+PgowMnjr4A8UuQXbxxIl5/GGg9u4tdcKxd9ksrH3ufj46TuLKkRnkJZm4dFga8y4rY8ilU1FOPAH1nHNQLpyOmpFBUg/BYJjnr6NfwybSw0bWxu4kHPDTWlEet93sTQxvnl4zh1Mbtb4yvnC8Q21RtSzCopwT2JckHKgBLZrTKbW1k+9tZZjJSUZJD0IWC0GziZDZRFVmKpt2aPUnodRMIl2y8oPcu0mSQtw7KZ2CgWVEJInl/UpYuV/QIf/wg3BMJAlyZTenWHZxdr94+0aW481p6/5ArNmgydM9zDuMtu7p569ZAkc0SytFodR+VKp1x9coqoFy9/+C/M/0Rz+8XA3Miv5dhHBEOqUqui1OJEm6HrgeIDc3l6qqeG70/2nJ7zgJV4bIRAyof4mdNk1pXJd+He1b24noBsyyZcsYMmRI3HkA7t52Nx2KUSm5292ogfgBdkGaiCiEFJjMRKRmiZNNZ/HzMoFpPHjwIDabjQy09NyBlAP0DSYTsWqGc1gGNSwhm1Vc2ceyxraOcNQ3taSvxi/BlTsW8H00CmFK3klrpYbld0Qc+Mw+Kpq3clnPQazsxrarqKyIdcs9KRdcLonvKrufOBP8ZlKjDTsammvIGythzwqSYlZ5X3ecq62ZKjQYTegI3abDfVM5Ly3AsbYgNW1Q2yXR0Zr3PbbyoQS7VG5JJj8nOKbyeehzJDlMURJU62gXlWAeSBIXZ19HVU0NuQMG4NglslaDd75Ha88G6qQRsYF9QsjN95ZkXK4O3C7jO6/zqKxvVPmmvMs1eEKoSRYIK6g2GZ2dj9wojBlTg5+QqnJdnpX3upkf+r4qYQneTw1yU7iO9SXDsZULKIzc0k2ENergJfsUanXwg8eDTWQlJ9EZ52psbETRdUeuKi6iuEpQrkYsFq5ft4RRQ4eyCWIsIwCFbY3UFRTw8+SjqS0oQJVldj31JOlPPUt+S3xNUKf4+vbFsXcvm3r04VW30fBsc4sHtW7dusNS8urFFYUpftH3OM7pJZExbz5SRwcVY8eSu2YtcjBI3a/QP8FgMKGeqvUY322uVxjubaeeQvspp5D90UckrReLZ3NbK77ufuvFaNF25/7Bg8U/gKgDR208xfW/KkUnnRnr2xs57Qz4+O+gqgysbWZgbTPfDtfgL8lrNzAiLZmPTp3GkF1rkXzxWUWA3AnH0Lp7O56qioT7DydVVVUEkMCWh9QWZJrUwptbI4b9ACfkwMCxMo+sFWOjiBYeHCNT64VtbV6WV9sxNfg5kNODyoOHSE1NQUU0Jv2i4CycYS+nNS7my7EXQPfDEAC5TYNnpoXF3F6eMYG+tfUQCeHxeHE6UzF7tXm/uk5hZNyZwKYE6dTW186toTAJHhwb7zw8tzFCawAem/CfBwuEVXDk5CUc1xt+XsyxQ4aQtG0bWzfuJMshUQK0O8S66DIlG9h+Djz9FBmPPRp3nk5pqY7/jaoD+0kJRXBXV2DPysGCRKdrvXPFMszOZBzZv45IoauUtYl5WBUIaHPqMOLu3xdCQr8U9x+KY+hIvNs20zJ6DClt9bgqywlm5BDILwNF4fhv5uGTusCqJVHP5LWm4FJtzNqtjZ8/T3JCNMFee+gQ1vJD5G7YwNX5AeadcdX/Y++94+Sq6/3/5zlnetne+2Y3m7Yb0nshgSRAEhIg0hQBUUFRrwWvFe4VQdErVy8i94oXERERTGICoUMCaZDee9+W7X1nZmfmnPP748zMOWdmNtlQfnq/D188eGR2TplTP593eb1fbzLCbRRvT3TSowXu255+goplN/OjyVlAH/X1kadpyRLo7obp02H6dG4OhRn24l/JCV7k4Y7DiffevvhKcSj160aCt6Sc4alwwuDneMO6fXLco4k+fHXPX7WMjsVCW1YW+REHyz7mMhxuO2rdWVq8iXRTAASBYHYhit2p0cAi+JRtD47OCuqtOSiR6+VH5dTB/TgaToOqMpBTCIJIvtTNtILkY7kRw+QcXO/7OChp60n9+okpVnPQ1Chepfpl+gK9IAomeXO7oblhABGP3UFAlugPKzT1hsgaWvlwDPfeey9vvPEG2dnZMYn5zs5O7rzzTmpraykpKeEPf/jDoM14ZVnm/PnzSZddDJ+Y4yEIwttAXpJFP1BVdW1knR+gFelHiweShcGSWo+qqj4JPAkwZswYtaho6LzjTwptu6ogUn9odDoA5gybw5o9a0zfiaJI9LifrXvWtCze6QBYVL4It8VNRV8Fp3ynEpbLsoWyorKE5lGZmZmkpaUhu7tRnQJ9Xd28lPMa/7XtAc7M1rWwBaGN5/qn0h3u4cFRZezYthNZjZyHGKYlFV6bqkcgHp5dTtcRnVrlDXnxW/xkZmVSmlbMpIIWdjaao/qio5ZtUhOfKtCb3F3jHODNuuRqLwCzA3rUt6ioSM+PAWzWIx8l+TkUJdQTDN5nQU2zcVdVGpIgsMjfxh9269a7xbufDvd5FvosrPKYi8qvyL6c0RmjIXKL/md5Cdvq/Tz0nnYtBEkbLJ12p3a8P/g+3Kal6n1OJx4B0iJNAtWJE/leQRrfVVUEIfEZ/uXr5znWlljrYt/cQmBRIUJYRU2xAPo6gqETvNTgQy5yk19YGOuTsO5YL++e6ecnC3Jp6AkB5sHD76mDgO4QR42n2+xatusZ6zTCI/XBaHhjkD0V+qg3tdD82hcXF6NOmgiRyNHOSZPYPmUKaV1dKJLE/MmTyMrKonjpUrYe0lWQ0iORssZCzUW77rrrkCSJcIRuIT/6CxBFpG98E9VqRYj0lbBPn05tzWX8bMKc2L7GWmF/CPIrKqg/o9UkDXXMCMkqbK1FEURc1yyGda/EthdKihF27RrSvurr603rBcJaLdOP3tWe/c9PTGdrrY85+zW1KO/MmXiLi+GWWyHieGTOmwf2wWtm/l5QVZXumvEUb0jk/BeOmwT7TvEfd36dvVWjqThzECLRv9Kpszi3Td9m+PiJHG1pZLAY6zlnsclYiWJt7mIWFRWxzq8gnu7HtqeDfzcsf3xJPkWGZnGFqsrVXR3MK3dTlOOIDSlLgSV/0sYM66Eu/hUXL9yYzwf1fqCdRkcB4VIPxyqmE7LakOr6YxRMI2py7Rxo1tyyHslDitwXO+5T7mF8bZPCf8ywcEjOY3fOBOYE9lHTpBVL28LJjaZ4Dnxjf+IzrKoqJ97VnLZPYk7sqq8l2N9LzgjNoW0QRUSPl6KiIjrHTqBx/26ql67g4Msa3XhfuocZwLiHH0BZolG7+pza8+uV+0wR7fo313K0XAuWefxB+pzmOdTfqs8RNctu5MDaF2netpERk6fx1tOP40zPYM6X74utU/uOJuix6P64Zr5DQcQhUseNo6isbEibHBk/DrZrmb0Ry1dgsdkJVlRis9kYqBhOb91ZQqmRzI4oYl22DHXVX0376Bs+Fu+JfaRZVTYrZjGDCVV6ZjXfH4iNd5PzbUxcUILU2IC04d3YOuEvfhEhK4vwkT1wWmNaBGpPUTl23EXP5WwSp6N/2BhsNhvWo2aBkHeyLueKtndjTfmiUKw2xJA+L8mIHPaOJD/QRFYosc7ObrPxy6WlsfcvX+zm8vZNAGwpWRhbz291cLq8nLqSYpry81n60ku4fH4yRoxAsUmcf/9dDpQM7mxOCMs4UrLY5evD2hupHVNkTp8+rY3RaXrdiqW/B2uPdqzRdQWLlaIhdPiuF7XtjksabdwWqWkL5OpZZ5dqIyCFTYIngqwSEsJEY9SSJOFwOBB8Mi5RwBcJFvoEOz5Jb9pckHJp88Ltt9/Ol7/8Zb7whS9gi9RCPvbYY8yfP5/77ruPX/ziFzz22GM89FBymXlJkj70GPOJOR6qql55oeWCINwOLAGuUPXcUj1g5C0UAcllM/4Bce/Y02ysDbHRoxvKP2lpY5vnLtasWpOwvjGl9mqLNkhOSpvEzq6dCet+uezLuC1axuKhUQ9xy65bonuJrVPTPJWO1A5cReaJKxjUXv7uZV4EQeDW3ZqSg82fw/C3f8uJK3Vlhy7Zj1PSqQjhCH9wfNpoDrGTl6eHsDTuY6Ls4+gG8+OzInsFT/Q9gV/WnI20iGb77FIXRyzfJ9B0HWreOg72ZJscj8pMO+s+ow84z60o4rUTvdgkkZpcu0YlCauEgxfOYBiVH6K4e1I6HpvI03u66IgrGP9thQtJEOgN9/J8/Qtoj6MGeUCjjriXbib9gxl0RrZ9/NoUSrwaheCanGsY7hmOIAhMK3ax7jOlPL6tna218OiY/0Rui/ye04ly9VUE12/g5WXXUn76NFPOaueq3HE7YO4SbUQypyMGRdUyHhYBOdeB1JxI2xB6tMmpU4EsCfqDCv+zQxsQn9rVwSvHE6liQUTEJA0ZR1YNx9lXzO+q9IG5uDWEz65HYq7qa4PsvMhpO/H7/UiSRMVkvQZhIFKs25qjTQ5ReVu73U6uQZ7WGleHEe1UvmPRYma9tAry8+myWPnqg79iRqqTr/xL5DkeCHD7ghtM286yiewPKYjuC9POtg8o/LxX4Y8ZEi5RwK+q/KBXxmYRCIZVfKkZWL71TciOTGw5uQhd3TAwcEkOwfG2Ab75utnZnlfuprE3hD3aEXhkpOCzrFRf6R/Q6QDwdcjULLsRYcESuP0O07KqyyYDL7A3Yqz2uVNwDkTGiOJSk+MhilKsB0g8Hi+7G4sa5tvZR3iyYBSubU1YVJnGshICrdqz8as+BUtcLdfSEd6EDtWCIHDLcIH333+HygULYhNvMhw8Wccvdxua4DlEwpGIpeqIFOeKAkqmjXCZl0k5duz7dcPq91O/wNe36hLC3VYtO/j43iDnwsUgwCb7WGrQHI+wYMOR/k0Cnf9pOo4HJtvocYb51+1x3df7wty1poGbqlNZXGV+vt840ctfDnTz++sKBx1jLgXbntaoTAu+9xCixYIcCmKNiBnULLuR6ms/Za7D6NEDU+K6V+iMoyOV+vTMVl+rLjYwurGN7RXJe+84UtNiEsYDvT10RhqM+js7QBRRS4oRaodOpYwd3823IITDyM/+EWFT5JmULp41UlUVWZYJRVS3hs2ch8Vm5+zZs+zcqc3ls2ZMZ0JhCe/tNtRJ3nA9u7we2K7VJ4RSMkCyYLE7sCrmYNdN1dozo06bivDBNqRHHok1ebXs2YPc1orwgrkOSkhPgwnjCZ/R6xJszktTCjRCsTsZO2UKezpacbTUc8ZZSrn/HPWORFKKr3g4sieVzOZzBDvbQVVYk7eURqd2T7965r9N66eXlhPs1wN/xf56qlTd9BvrbCNVVdgQGk7DhErCoh7cas/IxOWrh8JCnKHk2fmoE6RKFtIXLyYtPZ3AC3+JOROuuhP4ykYRDAZpLCjAGuk1dOLdNxP2pYZDnP1gE9mVI3FnJQrBRBEUwnQJ/XSI2vsQzeaH0g1y7jaRx95r5Mh5Qz8hhBg9KwoLombqiQL+QZgcToNwxsg8D9+/6sKy4LNmzeJcXAPcdevW8XqkH9OnP/1prrrqqkEdj4+Cv5eq1VXAd4BrVVU15txfAm4WBMEuCEI5MBxI1IX7B0WaXWBDQO/+eGt3L0v7fVia9YnC5XKRkqIZ9qFQKGEfny36bMJ387LmMTtztum724o0XW9jGUM4bI+lvowedF9fH6FQiNWrV3P48GEK7NrL3yv2Iyr6RHBIWUZbsC3m4ACEIqoZC3Pn8tyE5/jduN/yu0XTGSUn+qzNB5pJCabEHI87x6fz3dmZXJ/XxZKGRayQfUjWLmxi8kn+e3OymFniItUhcXNNGtePTmF4ph1VVREtQkLncYAFFdqx2jI38Jk9tyYsXzoyhXnDPCan48fzc/jF4nzKI4XZbcE2EMyG9tSCdJbmLuXGwhtxRNb7zuwsylLSEQURURC5rfg2pqVPM22XahfpC0KuPU417I47WHudVnxWZ6gJaBMEjh8/flFedhRGLrrjrcZYdiM0NoOBmYNHeepllQ5F5aThOhidDq+hSP3FgXEI3YkOz2WXjSXQLjD9iDmLlR/pSZLeF+QeA1f78ssvZ/LkyUiShCAIqNVjUC0STqfOjx0TpQJFsCTUizUcory1EUlVKCoqIiUlhesNmvbrl61g4WPPcGW3yIp2mfPZuayypRCKZEYImB2wZQ6BvIj94Eek+AI1Gb/3KXSp8OMeBUVVWelT2R+CvpHaxN8fVDRKQmWERpSrXXPxpz9FfOCBpPvsCyrseWM72b/7HQebfPxyaxu/2Z4Y8Ut1SHx6bBrDbCHkwiJTkbj85G+Rf/7zhG3+EdBxboCdz3dQt8cHbjfKFfNNy20/eYTW0vLY3zl9ukKVxe6g6oqrAahZrjXLLLzMXFAKMP++B1AFkZBoY8S8a6jPLaPWVcJpdzl9Lm08reuOjKdx71KmK7nxuH79evx+P21t5uiusWEiwNv747Kmhgk+2olbSbcRmpCFmmFnRxi2ZhjqNAwF7Rk1+rmd8+kBKmOtSIdFIiSEOZQSaUjoSUW0WDm1dxeH9iXKUd+1RqPPvXCwm8+u1ql0Oxv8/HpbB60+mQF5aONLMuxb9eeEgmFfRzuhQIDe5vMohgCBIAjYPebrpwJ+q8SxvAzeH26OkC72JM90Z/b5WXjgNPO+dT+e7FwtaxbBjC98DatBJnvns78zbat86UsELJdIM5NlhGhRb2MjnNYYBarR6R8E+/fvZ82aNfR2tJNaWMLw+ZoYZ7NBRri5tY2UQj3SnZ6eDoLA9EWLsORp10SM9HCxOJyU9pn739wW6aWjzNLtgHO+bhoi9TLSl+9FjC+oT9fEPmRD1iEcvLgwgZJE3GLcis+wYsUKSkpKCGXk8puyL7Iu7xp+Xf4leqwpBC//TGzdQE4RsieViRMn4klJifUxC4nJJbyLxk/BmZbBQERUYPUtJSxvepnRzVrm1+9KA1GkVOri3txT5IrmYNnWWTM5N3kSeL1IzuTZwmBGHoGcIgayC5AiFNsxYy/DV6rVs0h+Q02ioSZFDiYP/B176xV2PPtkwveSHMba3hQbg1baI5UDRmUvA+1YkRKDjvFOB0AYhbCgoKAgfoJNO1paWsjP14Ku+fn5tLZeWCzow+LvVePxOGAH3opc9A9UVb1HVdVDgiC8CBxGo2Ddq6rqRxfk/v8Lqp0wlpjAXUlYmwgdjh4URSIYdDNixAgGBgY4fPgwgYiBFDY0YrMaXs5lecu4Lv867KI5SnTy5EmyO7P5/ojvs7npDUBLR8qyJfagGLl3DQ0N7N6tUTWOHDnC/Qvv519O/gtfKf8pqWEPK5qGkZt3mt81vAkI7OraFTOEQ5GMhygH8fUreD1eXMIg/ElgQcMCnrY9jVNyMjtzNt6uU+w7oataOMNOLELyx25miZuZJeaITEOggZ+d+BnzsuZxXf51CdusGJPK0Y5uOjM3AvDSsZdIbUpl5syZJg7/Lxbl8czeTq6p8jK+wFwYFpADWNN2ooTS+fqkkVgD1UwtciKJmnE5qcDJy8d6KUy5eO8Dj02KSAKbBwfVUHgWtlp54eabuHz9Bt7drEXWOjs7mRpXPD0Q1xAQtCRHPCZKsE0UUD1WwsM8WE7rA/MkUeUDtEhwvQyCTyZZzLzfYJiEVSlB2WvicG2C66wNMqNJ4P1R2jW8fo+PSTM8VL3eTW63jP3zejTH7Xbjduv3U/k3Teq2cN8+Tp7U1LzK4mgMRVmZ3PWWrhQ2YcKEhGj0GJvIhmCi8/rQNZ/iR7/7FW0pOg3sS26RG1wi2yNFxusCCiWRwvIoj9WIDFFrCbsjpLItqNITNWIjxmZ/MI6THcnaCAcPJRxPFI990M73f/cLJFR2r36Xdz0jkUWzYeSKUOVSHRLpThkEp1mvJiND+/8fEP0d2hB9Zms/JRPcqPfcA++sJ7vHR2uKC6mtjd9dp3fRHrVgCYdf0bqZZ5ZVkDVsOOUz9H4OuSPHMPPub9DT1MiBtVr5n9VgUNy+sgGpUnM2loxPZ3UYoJ8vvdzI2HHpHIm7R4M5HlEIgoCqqlqAQxT5/MR01h7VjY+dYd1YnpYRYJRSy3+jqaWpKTYqKjwcKtLej2oLHAyDkuckKGZg29NBlkXgfE41eS2HGH/NUnhxcFopQIvFxq/cIQqEGuxqiLxcJ1ntDfR2diC4zc9A8AIOxb9vaIl97gsqOIao6GXEkTdepumwVmTb1aBnJ/o72mg/q73D0Q7yg+F8moe9JTkmR3p72kSmdO1COaMVz6uShGBwYJRf/AeCJGFzuZl5zzdo2LeThr1a9sBidyAIIjaPl2BfkoLdyko6PIYxvrU1qUS5CX0GY7a5BSLBEdWgSjgYTkTmt77GerKHj6S7uxuv12satyRJYt8+LdtRXFzM+PF6Fc+kxcv54KnHUSVtvhJFEdnfz4i+4xzzVPHijYZAyVRNa0cWBA57beDNpbDLbIjLf3pW650SKYRvPaH1ABItFsIBc9AoGcKBxMy53WtwJgWBMZZmDsu5yBFr5/mTCrdHFqsWbZ4sKSmh0yhnbrBtupyZpPm1rIInr4BQXy8DvT2oqoISMhv7FlEzBgH6u5NLoe8qL2fX2rWEQiGSdchSJQkhq5CywkK8kXMZNWoUgiBwuqkWMTgAqoL36O4kWydHMieuVAzT2lJPYdVIzrZ3gSzjbDiJ7NDmQaVUz0LY7XYcDgffWzScnp7kIgPxsFmsBEJhOlSzDeOxieR7h96b6e+Nv5eqVaWqqsWqqo6L/H+PYdnDqqpWqKo6QlXV1/4ex/fh4UIJ6gPcuID2Ak2ZtIap01bjcnXi9XoZNUqX+GxtbeWNFl2BwyJYuLfsXoqdxVyff32C0wGwd+9ezp07R95AHqPPV8a+9/tTyMzMpKenJ1YsBJpRa8T7W97n8qzL6bD0oISsHD8+nS2bb8aiaA/ujIwZMUm3qE74rm1bYym4Q4cGN7KaHVqU54mzWkr+xAmzlJ5Tdg455f9c/XPcd+g+WoOtvNiYXE6zMMWKL/9BBEkbUIMHgrS2tsZe5O7ublauXEmhI8hPF+QxuzQx1exX/AhimLKSPUzPGseMEheSIbVw18R0fnJlLsOSULnikRKhHfUNmP3lvr5EStN78/XsWF1dHStXrjQtP9GRGG25c3wal5eZz+FaQ4RWdejOVmWGDSWkGWH10cMZJE07WB3+5yZoPOPvTdT+nXhzBi4D5S3fIeCwCuR2R2QBAxfohiwIIAhUVVWRmZnJkiVLTNkPgNTUVJOzkowCs9yZfNjaOH4K3//SfXxzht7+Z7pdu4+5kvbvqwEVeyRaun17YjJ1u+Hc7u9RYtdFjRht/aG488tJnmVq6AnxzJ5OVFXlVHMPbU4tY3Ln+qdZ99J3EqLyK6x7EbZuBZ8PAn4YJHJ3MaxcuZL9+/d/qG2TYetTrXzwzEWKTOOfHUFAfvr3TDjbxPxDZwlarJxP1Z6fCkmT3QRILx2GkEQJBsCTk0t21SjTd0alPOtJ7f1Od0oohrquc7X9WDsGKA6LFNu0sSvTmRjoMGYYT58+zapVq1i9ejV1dXUJ41PIEJ+7Jq+fEtlgmIkCj0zL4Kl8G/+dJlFmyBwq2Q7Cw7x8YVI6d9z9Ga66/6dYbINT5erztOxfd6TPRqOawe7sKahWGyEVBDmM1N9DRrA9ts31zw+tCD/eYR4KGvbtona7rka27fdPxD7v/euzHH9naNPz3tLcBInnfSnmTuOqQWFLlCxQVgaGzGTuyGoyK6qY/oWvxZ6Zed/4QdLfazp6kAOlWsbZEpYR70+eiTTBkPUSmpsRNm6KHMzFTaSysjKk/h5ApauhlrfeeovVq1dz6pReh3n06FFqa7V7lZmZaRrXvHn5FE2YSuXcBcyfPx8pomS3sPUdFra8jcsohS4IKNdczfrReiYm4c7a7TGnQ4OKZLWhhMOcP7g3qfJUbF+yTDAyVxVP0nvZWA0UrYKCAiZaG7jNsZuHp2vH6jfUlb6uVDNh2mwkSUI1RPpDgm4Y7yucRSBHc+jPd/UwELE32lpaeHVl3Fw/BHvBrSgxBsmIG25LWB72pjNv3jwmTTJnU0eMGIE04EdQFewtlya8kSwbokacpvbNkT4m589g6e/FHpEOn37FlUydOhWbzYbLFe09pN9f6SLSuMFwCCFuwE2zyB+b05GTkxMLWp8/f57siznsHxL/9wSA/4Ghqilkh/PpP/11ZjSOQglolCZrhA4zabJIdnY2giCwZIlWT/DGsTdYc2YNpb2l5NnzcEtuZrdfQmQAACAASURBVGXO4uejf45NtNHa2jooDee9996jr0+LABw9OhNFsdDQ0EBLS4tpvWDcC9Lf38+MtBnUdNQwrmMcIKIoVq5suJKMQAajnaNZu3YtoFOtLJFKp3A4bJIEBrN+dW4glxvO3MBl3suSdoh2qI4YFetiWNe87qLrdIW6CKra+blC+uB3olNzeE6f1gqJGxoGH1Six3NfxX1JaWAWUWBs3tAkIzwRx6M3bqLftm1bwrrZmYkSksZ7/d03NSfuZwtzeeHGYv54fSE3jEnlvllZPHqVTuUymjIjSlxcU+Xht9dqz97+xgAYG5c1Jb/2eWOSN8W6fnQK6z5TGouWerLMRpw6oJq+C3RfPEHpcrmYN28ejiRdxUHvsXEh3r0Rw6I2iyDw/tiJNESGtVwR8iMjXKnBIBy2QKP2FBSYOeSdSbyvtYGonrK2ozOdQfP7GNdMrLHTj6qqPPReK3891MOmcz46fSq5fnMBco6/kyuoxznOQWFhgLLTZxD/85eIP7wffP5YxPVSED2u+Pfzw6K/I0zIrzLQqxAeSG64qqpK01H9mVKiEXivF0lV6UpJZ9Gv/8jBCo3S8FWvhBqhctgvUm9jsduxudyMXqxlOr86LfF9qXCJ3JOhT7qBrhBKWKXOojCyS8RjE6nM0J8jVVU5f/48R47ovHdjdvjs2bMAeIREo+IW+24kSaK5uZkppw8x68Q+7tr0MlvXr6f78AGGWwXG24wC+wKzq1NJsZszLlMKEp2PO7xuCqVqPhi+mAFJX96sapkdVZKw+Ppw1R7n0w0vcqXlwg3yctzm3zQ6Hmc7gxxpTU656W0+T8e507zx4+9y8KW/Jl0nCiViLOaNHpuwbPoXvsb4GxNpw1EMxI2zYli/3vO+9cOE9S12B5Nu/RwpeeZ3NqdqtPn4W5rYt/I5ZINxJrS1aapNF4BoqI8Q1q5FuMj6RsiyjCBH+gOlZV1kbbDGSWSLosSYxdfhzs0nIyODmmV64fKI/hMJ1Cd1zlxCBipZa0pckMJgqEdpcGXTdIpWNFOVDG//7AG2/FarR8oapgc1rYampF5D9iNV0u6bkUblk1wc6ncSklXaTh6Lfb9gpJ6ts7q9hDLz6Bt+GfVdPZyMzNMb33kHS485UOoMXtxe6DKwGwS3B2+uRhequuEz9FXWgCjGKO5GCIJAeqkm9W4zNDSV7ea5afzt95AMqqIgGyjzFoc+brtP7MPaax730wpLKC4uNrExBEHA6/aQrrhxYH42BDXR6RIEbXzKdGrPgCBfoA70ErF48WKeiwjfPPfcczE79ePGPx2PjxVZfG38MygDebzRfTtPh68CIC3CPXY4PbFoWtTocjQ5mH1+NpPaJnF/8f2maFtzczPvvfcef/vb32JUgHiIojbgpaXlkJubi6Io7N2rdQvOjDNsjQPGgTcPUK2YpXzdYTfzzs8jfFg3VIP2NARUnJEaCKNTU11dzbx585LKkhYfLOaZU88kfJ9nyeNo31HTufSGe7ll1y3s6tqVsH5RKITH4MAEFd3wU0L9zFq7mOt6tQjNr+vtTEfbx57DGhc6GnUazHk71X+Kje0aTcspXbqxFw+3LZGSo6oq61vd1MlmI7WlvZ14PL2rnSV/OsehFj2qmumUcNtEMlz6dTbSR0oMFLAHMyx8eUomhSlWTkYyJsYeJJZTidSEwIICzha6CSwoYGBaNkpkQBuTNXgU5fqtfXxqcy9Bn4LVITJ8rmZEHnmzh6BPP3c5rHLm/T58nUNrQgWaYwKJDrMRf83UjrFEgkfTJNIEuD9FJMswon3OLSbNrgUEgfT0dFMTQUVV+VR7cqdJROfy/++uLpY+Z4gyx+3/gRePsPS52li9wc83t1HZlSi7+Mjm/+G+Nb9i9b9/hVNjhjF9l9YZWKithfZ2VNfFn8WOjg6Tcz/kpohDgBxS2flnndYQTiLjDdB4wI+vQ//dQI/hmt52G7c8/OvY32mhINVWIRaxtl4kqyMIAvO+dT/FEzQKYopd4rPjzNKO6TaJIBCdn4WI8zg6KDEuaOHPNxSZIsatra1s2bKFw4cPJ/1Nv99PXV0dV9sOM8eqR6xzhF7sgkxJSQlXXHEFE+pOUN14Bqsi09nZyfHjx2lpaSE3riFIZpIZ9ivjzY7HZ3vtZNcpOH2FVEiJYwLAQNh8b4sU83pjJb0Q95szMrFJAp5wL8URJa3+oIKsqPzn1ja+8sp5vv1Gk0lKG6DnfANbn/wvdvwxkbt+IVTMuSLhu5S8AjIrhidd/295S1EF84VRI++RXFmNxT50XdDKyxea/t7621+Z/palSHvdjuQUnSiE3TrFRkiSne7t7Y1lLABaTxylcb82x8iyjKVPc1Tyx09O2NaI4uLiBHpnPDw5uaa/eyIS2OHgAH0tzQRSzA774cLBnR1/l2bEO9PTGb1Yq5NzeJP3zgoFAqiGMUQOGSjghiCRZCi437lzJzVu8/UKiA5+u6OT656vxZGu2yB3TcnmV1drAbOFY0uZMGFCjJYlDmjznefUAeztWiDAV6LRksIDZuqX1WplxowZANisiXNUa2sr0+76iiaA4PaiWu1Mnz49Yb0oKpM8vwgiYad2nYPpOXgikswZZRWUTJkRW+3Nh7/P24/cT6CnWwvCHNLFA8RwYg3vYLBYLYiCaMp4eEQnGaqHVMWFUzU76g4hTIbLQpbow279cLLZt99+O5dffjnHjx+nsrKSP/zhD3zrW99i/fr11NTUsH79er4V6Q/1ceOfjsfHjByXHj07pWrRGXvECO3zrSFZyYpL1ibgndvMalYHDx4EtELxVatWsWrVqoRtc3K0IrSRI8cnePQ1NTUmw+vKK81CY77+5Fr6He36IN0vefAKAWyRDptbt26NLcvIyIg5N/HNc+yKnfZT2uTYZevijRKNTtbp1wbC1qBetHSqX5vgf3HqFzQPaFGHAWUAVJXX6s/zx8Zm5vp8rN5zH7fvuZ1fnv4lXa3bGLtWm3QebOvAKluZwj4WoTkRWQNZhMNhrYgPkjpHp/pP8cOjP2R/j0ZNcUiXKISdBI4IpeeH77SwLdLJrLF7gP1yAetDlRfaFFkVWH1UK3L7zpt69MVtS3xNM52aEfbksgK8hmS7V02MTBd26dFNOUc7x3CFgQkrahQoRAE11UZoYhaza1J5ZFF+/K5iGFMXZGRDiHAkI5BRqhlT4QHN0Yhi8/+0UrvLx47nOujvGJrzMXGi1rm5snLw65UuCrydbeH3GRa8osDKLAtz7SJthtP3xPkcj6ZqA/R3uhWaUzJobm5m5cqVbNiwQc9sAPFPQbkE2MyDu5FbryxfFvu88FwifUtJ4vzk+/R37P6nfm1aJvj9pnqOQBznOhwOs3LlStavXx/jjQMxBZ14BAKBSxIwAGg5Yf7NbX9sp/Wk/l2gV2b3Xzs4uqUFRdAn2I5zhkLWa5ea9tFltaGqKjkjx1A5dwFVV1w15OOJ4sZqs/Oe4ZTIEkEuMtMPJw5o73vriQCqqrJ7926am5tNXYGToaenh23btuEWQgyTOri8RJvwrYLMsmXLSE9Px+l0smLFioRtOzs7yY+zAWxJWCLHjx1jhX0fw0SN3uNR9JUcQpiFVj2b4Y44B1H+fxRi3DxSKbWxyHqUu7LPMn+Yh/xzH3Bn3Z9Y3rQOVJW+kMID61tYf1ovot10rt+0j96WC9eeAPhKR5A2Z5HpO2daetJ1tzXqz0XYnUKDu4hfl3+JemeiBKdi1+ZAn6Qbklu3bmXlypVs3LiR9957L+lveHPz8GTnJl0GmkOjCAJqXx8tLS0Xvf+mY1q4IPb5rbfeYvv27bF3aPdf/sCBtS/EFK2iKkgNzWa2wfz58021e/n5+RelGgtxTtm23z+BEg6z58Vn2fLbX3J6p7mIPGSYe1UwFfsHI0pbNreX3JEalW+wgumzW83X2JmWzoSb76B02izTMQ0fPtw0Nk+Uj5i2Cxgyds7JCxgQ7eyZ9VVEUaIy087Km4uZWeaNFTEDKEmcTdnlIXdUDeM+dRtut5vKykqqq6uZOXMmBQUFrFixgmuXLUuQdD179ixvv/MOR48fZ8cOLaCTcYH6OLsniSMmCKgR5TpnZjZOp5P53/43Jt56J1XzE8et9/7rp5zevD7h+yFDEFAyLJCmP/+CQ0IArEhJC86BmHDLh8EzzzzDmTNn6Onp4eTJk9xxxx1kZmby6quvcuDAAV599dULXrePgn86Hp8A7hyjpaoOquUogCXCC5fw0df3J2RZMyr3Z5i52NEXMTq4Jbvp7ZEoeVHRQaZO+ytFxVrkThRcCYaFzWbjmmuuif0tSVLSCXMwqCoc7LbRqybnJRszKtdff70powJQ1lcGwCnvKfyCli4d364V1R3v0+kgxuL6h/Y8RDgcpsHfwC2RTMbwUIjHm9t44JQ24O7o2kH7rvtNv3V3vc7ddKE5VF1dXXR2dpJKD+nnNLliWZV5+PjD3LX3Ln541JzSd4gf3fEQDYPA00e0+/HKFi0ypiJSVlaesE20wHpbOHkkzEY4IfovCAI3VqdS4LWiKDKf3/QSd7+3xqSUNrVIi5o394R50qLwdrYFKZJJCVemEC52Iyf0PQHVbeHKUSmDDmiTbs2goEbbd1qRNlBKBgvLmPEw4sjrQ6MvpKamctVVVzF2bCKF42JYZNePo9hiPv5hBtvt92U1vFs1nl0lVRwdCPMbQ6PBB1NF/pyhW5CnZEAy72tvu+7MqZ/5DHKk8dktx9+huLeZ19bcx2tr7iM90MOVtckdgijm73o/8csIhauzs5N169bxzjvvAFoQYs0aXZrbyCMfrKHVBx98wP79++ntHbxzbjz6WhMNtMOv99B0VKOSddT7aetqojN7Jx3ZO1AFmc6MvfjD2m880y+zpC0xyKIoCqIoUTHnikuKbBvxs4W5jM2185cbi0l3SlxpFwiPSiVsEKawR4bCo2/3cnjPKU6fPs2mTZvYs0dXhTLWEg0GR6QfU1F+bgJFJh4HDhygs/Ycj6dJPJUucbVD4JY4JT5VVWk+3YNHCDLdeo7l4knckXTNpFu18d4WaSqXSYBP+7XPaty7aO1sYbYhI1OZl0q+1Is0oL1j07p2xJblBlt4dEs7+5rMzuSjW8xZE197Yi1P2J1CX0VN7G/Z6aHLrz/71oxs/rb2paQGvS+ksDvlMgD8JVWklORRJemGeXOOXmjrL67EV1QJoqRFjpuaaGzUsjgtLS0XVNcZrE4oipAkYvnRgxz560qTo66vkDwyrS7W+o40NDTEMovxQYDWE0cJnq+LdcPujQvmZWRkUFRUxLBhwygrKxty34PpX/gak277Quzvt376QzrOaBSpul2aUtLET2uy7pm5BaijRqHcfTevXVbBWz/Ra1+i0sY2lwtLJGuhqZE1ceT1tXSf18eMttPmesy0ohKyh49k5AIz3cZqtTJunLkXSIVHRo6Yk4qhXufBE+k8Wfo5RufrtkGUtut0Olm6dCkVFRWEvYlN6kaNHsO4FZ8md+QYrr76asaNG8fIkSNj8utRTJgwIWHbnp4eU1YzvpbQCJsnkfKZmZ0T67kyft4VCIKA1eFElCxIVluCchvAyXe1LuzuzGzyxlyWsNyZfnEj3jjnSjYLfq+C4hVR4uKmxqzTpQSU/lHwT8fjY0ZW5lNcWeHh+3PSkZFoV1NQ5Imx5T7/atravwhAQDIPYseOHaOtrY1Vq1axZ88ek1ERxYYNmuZ3+bA92Gz69pJUkMCZd7vdSXnyCxcuTPiupqYm4bsWVXsh1SSPyQ033GB6+AGmTJmSlLd/1nuWUSnmQtHfnP0NftnP87XPs/H9jcxomoEj7GBu/Vxe2fQKfz74APOTZGRcisK8fh/L+szRuruVF2Kf/5XfAirvvvsuALeylsu7XkQM9lDvr+dg70F8YV8Cf1IUPvrrEC8co6oqzb36xHbGUcFWx1TKyzQagt1u5y9thbwYnsxxObFQWUDh5Zdf5tVXXx30NxVFwaIoCGiRuaiB+e1Z+gD9tVfO44srjA6PTiM0KXma3nOBKIo7w8LwuV6mfDaT6ms0A1ky6Dr7Bsls9HfInPkgkcaQ9Pc9noQs2lDwTa++TUrcKXhFgW8blh/NL2VH+WjeHD3FtF6+JJAjCTEnJn4/AP9+wKxCohqM2Cff+Y/Y52HdjSw+qxkKBzITnc5BEdlfVJSgs7OT/v5+Vq9enXT1cDhMSJQ4k5mfEBvz+zWn//iGHt7+n1P4fZrhePjwYZqampJS2hoPaNuokf+iOPZ2L60nB9h66HV60rWJXRXDpFQFCNt6ONOsffesTyXenBtXe/ySIs6DYUyOg58syMMTyQSKgsCtDgElXXeibYZ3u7tDd7iMz1S/oW9AMidk3rx5vH5Cu/6tSZzpZBm5nTt3MtIqUGoR+JZXwhn3HvW3h1EFBVQBq6BQ1lOmH7NLxOv1kiX2c4X1OLf22kmJ1q3FjU22zlbyVS17nCb4YlnCYDDIyhfNxbmLm4dWBN589GDCd2FvGqrNTu+oSfSOmgSCQG9fH64bv8nWiV/klYw5qCo0RbpHBwKBmCG057yfLRnTCeTofaJmWHVpYjUrn4GsAnpHaJQbOWJ8Hj9+nM2bExtRrly5kvb29gShjrHX3YzNNbgTuX5MGQDzN2zA9tpr1NfXmx2IyGfl9tvNG0YMXCPF6pVXXmHVn5+L/b3nhWcIH9uPRRAIu5NTmARBYMKECUyaNGnIY1pKXgGpBRd2UtKKtALy5vZmDs+eQn22brw3H9Hu5f6/PQ+Axe5EFCUkq43wQICtT/6K2h3v88H/Ps4bP/4u7WdP4c0ZPHOUDPPm6eIoM0O72VE6n7W5i5Ou67Akn0/sdjsVFRUJGT1IlFofDBcLCMQrJyZs73CSUa6/y+6sHEYuWMy85TdQeN1nyMhNzPznjqpO+C6KiZ++C1eG5rQoVhuli7Vgb3wmKxmijofNZot9Vm0iFrv5HKNBXlVVCYfD/+ecj386Hh8zJCmL1JSvUZqmedjdqofsJKrF5/211LkTmxxFVaCSOR0Xgii6qaqq4oordL6iJEmxgc7oEKS6HbjtFkaNGsWKFStYsWIFVVXmZjOqCq8FdWdhxIgRps/JouHp6eksWrQo4XsEuCJHPy5RFbEKVh499Sh7zuyhpL+EfH8+i+u0QUts7+MvdWeYFkgsgCwIh3ms5SIqO4DNYPbkoq1f37SbJ7Y/wajOUVxddzXXn70eSdGcp2fHP5t0P5eKkrhGZSfagwwY7v8ze7s53qXw61ot+pGalcfRtiC+QeyxSRYtInUhg83I7R8YGOCNNzRaW7x85o0vaM/b2Fw71zu1+5fe38OtHyQ2SXIPIXvrTJGQosafISMQ6FXoaQ4lHQxrd/poOuxHHUxG6yNCEgTuTxEpkcCV5ByGSYlf9hoUW9ZlSeRH1vl2isS3vSKPpSVyaNWw+fh7ncmNjkK3bvQ2LZjCo/fcO0jSHBY+9gxyJFCgut20tLSYRAmOHk1eUBwOh1mzZg1H8kt5o3oqZzPz2bx5My+//DJ1dXUxA/ts6AO6svawZfNWBnxhDh8+zObNm3nppZdi0eWjR4+axh555CG60/XMbMDRyqbdbxCPjErtmq0sG8aSVrPLMay1AUdogDGNZz4WxyMZmsKYslJug+MhoMuUxqu0RCOhV199tYkHPmnSJDIzM7k9UlNSnJpo3IwbN44VK1awfPly8vJ0sYdk/Zm6u7upr69HkUEVZOyBLLKaZjNmdkEsa2ixCyxcuJAbbriBb9y0gIlX5SNEpuhgZi6y041k0wNE7rCPyZZarrSdMEV03SfNmXS37Ccv0IQ73MeEXPNcVB+pReoZkOlvT8wqqFLieTudTn62w8+uDoljcg4DWLBarfT19bFu3TpOnTrFsWPH2NngA0HAn2GWKJ1rPcnYXDtZTghmF4AoktU0E9DmqWQKgFFs2LCB119/nddeey2WBfFk5zL+Jr2Q/bJb7iSnciSZmYmBnHF793H0tdfYHAlKoSgQlTJ1uVC+cq++cqRZp93QtFMM+HDWJxZnq/5+UxS8pqaGOXPmAFC7q59TW4YWcDHCYrMz/qbbB10uGQzuc9s2x7rFA+xd+ScAHClaYMiZpj3HFocjqaRuy7HDQ1KPMsJI7RYFGOXs4qefncEjC3L50XzztU91DF6H4HQ6Y451WvmF6cjJIAgCc+fOZfLkyUmzH8m+i8fkz3weR6p2jWZ96ZukFhSRlpZGdXV1Ultn5MKlCd9F4UxNQ4rQtKoXLqEkwnLIqhwx6DbGc0lNTY3VOUYRVcGy2+14vd7YMUUzcT5fctr8Pyr+Xn08/p9HWuRF82PD3nOGgOrCIegPx/7mr4Ng56znbIySBMllV+NRVmbm1NqsWtpTFEXS09O59tprYw6HIAgsXrzYlPkY8cpyRqBy3vt1qG2gu2Rh7EH2KwKnlBxGSOZJqKamhr6+Pnp6epJmR6KwWq2sWLHCJA17U8FNTEufxtHqoxw8eJBcXy7j1JNskg+QTmKDpgy6Er6L4vpec6ZjDQtZTqLhbCfIrayhD92oPL39MJMxF/8V9xXz8OUPDznbcerUKcLhsMkRi8fnJqTx+93aOXzz9SZsJEaS2nwK866ex+2vme93vtjDVMs51gS1a+xKoq4Tj2SGzoYNG7j88st5Ykk+X1533rTs1rFpVHskphzdGVPxyeztot2Q7k7/ECGJuV/J4b3HNSrFmff7qF6s7S+z3IYcUumq147z2PpeOmqDjL4quZLWR8Vcu8hce/ITsF9gbn01S8IWN8kscmj7+UO6xM652fxuWweKS0IIyDTLKrmSgC+ksKVdIJn+RzDTxdaaCcw4sBt3cTFFdXW8smQxGR0dlJ86TX6kyZgsioSsNqRI9kG229m4caNpX2fO6E3Fpk+fHpPM3rVLE1RoilADghYLTU2ak7lt2za6HW6CFgvZkQLYrp52tv6hCQy2wdatW1m2bFmsriybOWQPt3O4qyMmmyaLAXrTzHzuKGrrtKjw6ZzELsaZfT0sPKxRf/r6+oZEcbpU3Nojsz7LzizsTO0SyBvlwN8t090YoqlHc6QURWFgwEATslpZuHBhbPIuLCxk7ty5nDhxgtKIHOmnqlMpTLFy2QVU7SwWC9nZ2bGo/5EjRxJoglu2bMHn81GaNhbZ4scaTKNgepj8MU5yhtuRQ2qCgZNVbmfmF7N49+nLCDhbsHumIIUcyEGt94XF38eYdO356TgbYvz48ezZuQNRTnTuPnX+bwAUlV3J55fM4Qdvt9AZkLnn5UYeGB/mwT0WvmpYf0/KWNJDXWQm4b/HZ7X9qoU33z+DPdSAKGjS4O3t7aTIVTgFCUtcw7NyqZNvL8jjlVe06+7prkRAory8nMbGRrqHoCjV39/PwYMHY1F3IdIXR7Y72bz3AAuuuY6UFC9vPvR9AA4WZlHa1o13IMSiNyLzxf8+hTJ/HuJ6jUWgpnghW3spVEOUPKqMaOlqw3n+bOx7VRBi3ahBkyItHXMZJSUlJmflzPuRjuYz3JfMx3dnmjPSo65ezpHXNKrlxfalyDLOtAysDpcmUYymDhYaSOzTUbt9C2nFZaQWlpBRNgxXeqKCXDysVqv2zEXoixXDykl1SAlOxpgcO1MKB6c6Wa1WLZM2ciLTFy0i2NY86LqDIRpQUFWV1NRUrFYrb775JmlpaUPOMk3//FdjNTEXgyCKXPndB3n7EbNUszNNCyiWTp2JZLNRNG4Sgigy/fNfxZObl2xXCUh2vIIgmJ6pKOx2OwMDAwSDwU9kXP2k8M+MxycEt03kjvFp1IhncfSeozZ0NQd82gvpCMjMDQWotMvcdflSU8o+2aA7f/58Jk/WDebycvOgkJZmrnew2WymYmqn04nTf54R65Zh7W/CEuzGEuyhePuDFG//EcVbv4cY9nH1ooX8TPxPVlq+y8PCo4wTtMjO16ZpL9P06dOTZzSSnX+kX8Zp72kybdrxRqlZN7SU8fPWdp5oasEha5OYgIIdzSjwMPjLPyLFnOIMkzyS4qGfMhqoRq8lsZI4Ic/2z74kitWePXs4cODABVOb149O5d9n6rzR4CD+/XFf4mBcInaSJuoTgx09m9ExiDJLsmemvb2dYDBISZqNXI/595P1I7l2/xZ+jB6dd4uXNkHGQ1VAjogqZJTYKJ9u5tG2nrx4B93B0N8R1mVbLxHFEtzqEhijBJl/xFx7Ee90GFFkEVhe7GJgbh6q24rgC/OnWj/7m/zc+EIdv9nRyYNT7kjYLrWvB2s4zOGyyph8b7/HQ11JCTum6hSvBb/WMm7+yAQaki6sVFJYWEh1tfYu1EUaIp7O1oz+Prv5uXp+6gJWTdRpEVLIhSIkvgubNm0y/e02SIR5KwL0ppples+nZNAVyRa1tLQk/O74c8cY3lxHdcNppk2bBlx6JneocIVU7n+xk8WpDkrGuaia76VmaRo+dx2yop9rb29vzHCWJAmr1Wqa0LOzs5kxY4bJqJtR4koq8GCE0flvbGw0jQ+KrMYikue6tGyEmNmNK1dbR7KJ2NzJ77fFJpKRkYm3ZziFlZlcdl0mIxdrUXlH0zksPR14j+xk36o3OPO2ojVCi0AVJWSb2Umo3/Q2JWk2llbpEdV9h46aitU3Zcxgc+ZMXs5bTEiwMnLkSNM+wnEKW2uDNbzQl8/usPb8dXVpQRe/asVlEB7wdo0gXxnH0iVLUWQ1lv0SFW08kiQL4XB40HEuHkaqb5gILcWi7evIkSMIgkjmMI3SWpuVqvUTiUPU6QAgMxOKi1CuvALlm9/Q9me4j0anQ/stczaop7Ge4cOHm54nf5f+7DUfSTT4Lwa7QYGqZPIMCi+L0ra18x1x5TVJttJwbttmBvp6TTUMVoeD8EDysber7iz97a1Uzb+Koouoc0WRlqYHq+IzC2tvLWHNrSX8bGHe0BwuQcDj8ZA1bDhZw5Ir/EucvgAAIABJREFUol18FwKZmZmkpKSwYsWKBEGdC8HmcsfUq4aCaFbDiECPNhdLFiulk2fE6o9S8gsRxQuP6R8GF6pd+UfGPx2PTxAew2QlBFSeatcGpJnbO5m0r5uv5AwQ7PlXxo0bZ1J4MMJms5GRkWF4wRXC8sOmdYRBOoEbkX7mZayBNvL3PJqwLLVxIzmHfg+KObr+aUlrgjMia/CmV4MhvyqfVeWr2JO1J9apPMq1vFXQOlOPHwjGHI+FbOJ7PIGFMCmYswDHq77MESoICA5GGeylP7DC5Ez8gi9QP1krGJfT9hCP9CSZlKhBEAwGeemllzh06BAHDhxIXoRowKlTp2L0lGQIdpqzDFPTE1OhD7+nZ5WWjvAySmpiZKT4slo6j4MQE4fp1JBkcql+vz+mZhRPIwmHw/h8PsoDZmpAVF7UGLm0h0OMtok8mS7xs9SPPiz0tYVpOKil9CWbSEqulYzSofXluBDq9/nY+ecODg+xUD0egiDwObfEf+W6+MZsXW3mZ8kKOZJgslVAdUgIssqGLa18/229WPb9/DHId94R+7vP4SSttwfngJ/hXq1xZnm5XuehGCJbGQPa89EyWqM3DngTixejiDocxghXu4FfvqN8dMI2AM7+AqSQG1GxIVsSn0ejwdeat5EdZ3RK1en+7YTs5vdn7fg5/GXKAvwWGyrQ7TBH3KaePcIVR3dhl0MxoYwLvTMfBUpIMxCHz/VSMUujIkhWgX7vGdN6/f39eL1eiouLY5KcHweMFLK+vj6TAmF/TyK1Jb9gcMW4eIy7Pp3xK9KputxLepGN4nF6VsnZoEXjw4GtWIJuvIZnIpiZhxRMbuzmduuZq0YlhfSQfm/3puqFsS8Fx2C322POx6FwLr9vS16rdFDOp01xsWsgF1kV6FJdOA2OR2F+MXY5g21Pd7Ppv1uRIw5M1PFo3BNMGOOM4ijxMDoFARX8hcPwF2rHVl9fz+rVq8keodcJBKwXmScLCkCSUO+5R/sM+n1MkkWKlwSecMudCets/5P+Th1bP3RxhyiMDSdzR1UjWa1c8Z0HWfhDzQYwNvkDGHvdLbHPIb+PYH8fdrc+llgczuTd3iMYSmdzI4wCM/HOhSQKWOICWKGAQtuZRMdn7NixjB8//kPV9f09UX3tCqZ+7l6mff4rAIxYmLzG5ZOExWJJoGb9o+P/1l3+P4YxOQ6+HdIKyXcezMOpKNTXJuc4GwupogZhfn5+rGYjGkUZMXILcGkNYyz+NrKPaZxPW3/yib+rt4dXd5iLCz9l2ci/zcuh1FC3IAV7EJSL61N7LHqUZWykS200utir6i+JPWwnjxamo/GAbalrWMo7pn39+bidF7iWHtWNt0mjl7xX9mXOUkxeoUaJ2MpE5lxzI4EUrRnQl7sSKSHX80Ysq2KE3+/npZdeIhgMcuTIEY4dO5bQcR3ME93evXvZunVrQrPGKML9ZiOtsjCblTcXc++UDJaMSDQq756cwVRrXYxmO8laz82OvTgl9YLUtmPH9AZN8X1bamtrefXVV3HERbf37dvHrl27CIfDpsI8p9PJMIvAxItEdy+ECTdqNEA5qFK7QzNuo93MR1+VypirNXqVN+fDsTyjfSLaz3z0pknGwt+x4tA6O/80TcKSPQjtRhAgEtkH6EhNZ/nGt6g+fQJLhM5j1PAfcDjonzMH5StfYblXe8fOX7kA+U/P4o+Tf272pjMgWSkuLo7R/IqKivBEopnvjhhvWj8Uia4Z80Ke3krOZeSxu6wwVhj+ceCZmdewp3g424ZpDk9xexN3bXrZtI7xORsYJOL6URCMPGOiNbkDmRPpMK+qKjabjalTp36sUpFR2W4jouPFG+8kCkMkW38wiJJASp4VMVKgO5hxpir95Aja+BfIKSKYmZzaIYdCtDbrgZEd4RLssnZP/pZn5q73qg6ysrJiTu6OcAn9kZ4ClVJiTci64Gj2hgs5KWsUISsyM2uu5oYbbsDqFAn2y0STK161CFSQwlrUVlATI8Iul4sVK1awYMGChGXBYDDW3+r9998nnJIBhiJlRVEIGZwDY9O9eKgjR8AgDU0BUuKKe8umz8FpcGQW3f8IriGoFn0UpJdoTpXFZosVKktxhdW5o8aQO0qbL85sfY9gf1+sdgGgu7GevlaNyiQlEZ65bMWnL/m4rr322iE3mtu3potDr3TTWW8ev6uqqqioqLjk3zZCDPWD8snUkA2GwssmkVZYTGp+EYvuf4TSyR9fMGMoEAQBr9eblIZ1Mdx9992UlpaaurmvXr2aiRMn4na7YxTeTwL/dDw+QRSlWDihaMoU1YGDbKlr4fazukGacVrQqrgxd2keO3Ys1157LTNmzIgN+NHlOTlnTb/hdt100ePIO/Cb2Gd7b23SdTbVh8lq25Hw/dhc/YG2+FsZ9dLVFG370UV/02vRjWu3RY/CDQwM0Io2QJ+0WkkJW7kHXSXkX7v1gvu24TfRWnVr7G8jrSqMFuF1TLqV2qq7sFz5AC6Xi4GUsgse12RJozoYi/BfeeWVi54PJC/w3rhxI52d5k6rdXV1tDQ3scx2kCJRu98DqoTDInJ1lZcMp3kCtF7gLRw7dmxMPtDv97Ny5UpT1PjkST2bMWqUWTns0KFDANgMdK1coYcTJ05w5swZQqEQFouFG264geXLlw+5U/iF4M2x4kgxn1B2hfYMSVaBrAo73lwLlkFqMC4Gq1PfTg4OzVkYCoyN+C6Gm3LtKJ5Ex+nhK3NMxkufoUGeELkXWVlZJkey95abUS+fS45Tu0aNohUcjpiqT0VFBbIg8rcJc3mjegqVlZUIgsD2AYX9IV2hrtVrNmSfmr2UkCjR69CP4UiRlXUTathSNdzkkNj9Q1ezaUzN5Jnp1zJ6itlA3T5sDC0p2nt91aHtWA3dlp1Op4n6+fLLZqfkoyIUUDizVaNnWg1FPMagQGmhTmdN1tPno6KkpIRrrrnG1LPB5/Mlfa48bg/FxcUf+zGEfW/TflqrX6iZvIgMr35f+8vHoESoQWtWah3JUwQ9um1TtWBSSEgsJg9ZvRQWFiLlmQVICkLJDHnt+h+Wtd8u9WXgSdcUeqxOkZChX461qZTMlmmIqvabgjr4fUlNTawH6+7uZtWqVTH1QtDUFo0GrBgn2SxHgg3rlpgj08pDDyXs3xhoGj1sWOyzIzWNqiuuIm+MFlCb/NkvDnrcHwcKx03C6nQNSleafNsXKJkyg2l33YsoWaheapbMj9YdAIQMNQyjr7k+YV9Wx6VTd2w2W1I1y2Tob9Pm0P1rBq/j/FBQVUavXUjhrp9+vPv9fxi33XabSZodYPTo0Tz//PPMmjXrE/3tfxaXf4IQBIE6RxWo8HXLaoibg8bXt3LQ7YHcONqL3Z5gBIqiyKJFk/D5dfWl7KznEIQhFBQZBlAhchCKaEM0UKtukDaRIiTSL+wGZaSRrywHILVhA4l6XGZ4pERtbNAij65IL4nKUIj/4oWk6wE0VN+r8XiPa4XqBeiGxPZaP6JoQbLa6Rn7OaLmlSpd2PNPz4MV07WB2VgYNxQMFqlta2szRTCjSkTpop8Ulx364Eynfq1rcs3H+OJNg3eytVgsMUMp6mRs3bqV5cuXY7FYyMjIoKOjgzlz5sT6tCiKYpJdlSJ9AUQUFtp0nv65c5q0pSAIH6sxFj9B2j1xjpZDHLTXx4WgqipnP9AnTl+njDf3o8VObj7agNJ7lDPFFYysGZqiym0ugdoZWXzwprnhWkmqDRwiviVL+HrNDJ786ff1Y4/o3guCwIgRIxgYGOD48eOxSFWqKAAqv84opfyIrl41evRonijSHMrGtGwc9iDvPd7Cj2/SjIm3sy0EZs6PrX+/V+THvdq1fWr2Ukqb9ezkypl6MGB7+SimnjlCVtNMBCRanYMXdNpstpjk7kvjZgPwtQtcHynSxHLunLm8t/E9HA5HTK1lsMJhOaQiWi5eMJsMB17SjRghQu2QZdlUnO+26FFfYz1GyK+gyCp9rWGsTpGUvAtLcw4GQRBwuVy4XC76+vo4dOgQb731VlLp8hkzZyRIkV8qbB5vAmVGCZ+LBXxrN4tI4kisGdvwdbSj2B1kT5xO+7aNCLKMaoXrbAd5ZkDj8lsjWeygqJ1/hdjGlROG89udnXxuTQNrby3hqbNm4398bzYbUxPpnwDdqmbA5qSk482JXNO4siwBAcHQkVkwdG12i1mUj84j5FdoORkgu9JBRstUOnK2MXLkSJPCW7S3FWj3wai2tPvQYYz55XNVZZSfO4+clcXOb3ydSb/UO50riow8MIA1EjBoaGiILWs6qP3G/PseiC0fuXAJxeOnJnQavxBURY09o0NF9dIVMLiIEhllFWSU6c6WxW4ne/hIWk9o18g6SB2A1elk0f2PAHDw5ZU07N2JN4l07CVBlUmrfZOukoUgmJ/x+LrIvtYQnuwP977Fw9av3av0c6/TMPn+i6z9jwXr2/cjtCRKWQNY1UTRiaFAzakmdOWPL7jOrFmzYjZAFPH1XJ8U/pnx+ITxy6sv/CLLIe3FM6bPY06HEgZD0V84/HTssyimIwhDUMlQVdLq3jJ9NeAt4cSiP5u+Mzodj1SvY5U8mzb1/2Pvu8PjKM/tz5Ttu9oirXrvzUWuuBvhArbBYJtACIQSSii5SUhuGslNcnPvTbi/5CaXFFIvJaRigzEQjLEBNzDFBeMqy5JlSbasLu2uts/8/vh22s7saiXLJYmPHz+PdtrO7s7M973ve95ztCVCIwa12U88zAx5ODfYlRQQk8kEG0ZX7jqHdBw8eFBUXYqnFwQ5OmGG/tC63XHnKwUFFhlNrFSWxdLC+vXrsXnzZrGikWjSFP9Atcqa+W5oIJlNvUzqs8ZtxMOzpCyULk7idcoUwrEWPrMQFMg5+K2trSLNICsrS6SSyPcTX8dG/HRqBAw1vqbssWC0Xv2gj4O3J7UGcW9vRKRX9Z9Wlucj4dH3Hz4XxplDfgydDeP95/rQ3aTkvJd3+uAa8eDQ8QOjHksARVGwashDOow0QFHouf3TOFEo6+W44w5wX/uqYtv6+no0NjaKk6QS2TXwlOwU9Xo9WuX5oZAeXNwt/zQr3aeLjMovvy1Le2DfX1iFXn0dqATiDABRsmtsbMTSpUtROGkKQhpa+/GQBzpCcClcj7NmzdLcJxzgsOtXPYoAYizwdJPZtiBLC0B8bgAAHdWj94RUrfT5fOB5Htt/3o13fteLPU/34dCrQ9i/Xlm5HC+EwTsSiSgmrwJG8x1IBVPX3S4dz6JFcyHvMXnNg5h114NYd/PNcOeQvgUqFp3Ih45SiiR1qnS9WK0/hK9dnYuwTPLaq1Fd1PN6zA2wcGnHHgCgaMpnjcnHKoFyBQCGrjJUV1fjxHYPmrd78e7vesFwBqR3X4W6ujrNCsjq1asBxNHY4hp6jxlpcM88DYvFgp6YgiR3G6mqv/Gfj+HNH/47+rvPIRAIYHBwEHTQD/A8BjuHAYoCK6sIUBSdNOjwxfyMLOmsaLAaDl4cvwX59WHPkfUEydSqnAXF4t/116/D8m/9IKkfSipwtbyE/A/+A66WlxTLu08E0LpHKRrj65sYWlT2R0+gcrPE/DAONiXZ+gouB1ypeFxguMwsPqz+KmYce1xc9qnQ1/EHPSkJ8l5p8lxfX49Dhw6J1Y+6Fxsx4qpD69VPAgAoSqa+kvF0Su9v79imWha0FSNsyUHXpIeQ/fEvVOsdJj1OcjlYy+yEt+s9eLNnK/o6Rlx1KHnrs/BmzUZPrbqhjpwrhZ9O+inSWGXwUuRkkd2W3IejW1+E34RuQESmgJOZmQnEEszbQHiU8d4jcrQufAJZh36NwaLl6C9djfoNRFO9+ux7OMRzAEWDoihkZmaKlAyLxaIwFQNIo+i2bduwbNkyUb5UQHFxMU6dOoWDBw/C7XaD53m4XC6YzWbo9XpUVlYiaiUTgPqs0UvRixYtQl9fnxhECBx0rTL2Rx99BJ/Ph4GBAU0ZvbVr14qNkXmmKCqiPahnzqq2uxBwFRswMjCC9BI9Kher+1mEcvvZI37kTUreFLf3zyTYmndfBg69TAI/vYVGyMeBiyQexAfaQzBYaex/XjmZPLplGK5iPdjYhIjvs0NQO+aiPMBD5NInQ0Q2a4s2uLA8XYc3gjyiPI/y2P7/e8vduO/j92BYfYNqf5qmFT0G8jkZF4vcLBYLvHEf8cPTIXhkdLM22Xdwi2lsmbH1cyrwE9qLvlNSQGfvr8eQi2TfcnNzYbPZwPE8vuEqQdGiEuQD6Egy0ZwkCw6PbvYCGRJNRn4d79ixAy6XC/X19YgEyaR2oH303rFkoDU8WgDA6M/GuWMB2KtIxaWhoQEdB/yqDPxEQZ4MEkQq9AEXQkZyLU9E4OEsKELhrIU4/f4OULRGgig2Vny8yY/5D5A+OIOFJESoWKP0ypUr8fQG8uxz8mQSXq3vA2gWOTk5KKekCFgeeCzWNSMbIwBmY15Ah6VmIzZQARzSaMDOypHGt5wak0iJk2PO3emIRnic3KnHYOwtGc4ALspj6IzymqA5PbiI9ncoLHM4HKirqyNUU4qCp2YGCjLSMbjzdQAUaSDneQx7PNh1792YvWSZIgP7zh+fAhP0w15WBUvLYdgKFsEXbQd4Gl1HAsipS42OJATeuZNMYHQUjr0xjMH2EDIrU6MlnQ9oWQVbb5ESYTPvuA87niBVDnYcfQGjgQmS5IG9fSv6yyQq19HXh1XbhvzSDRga4cDoKIURbSow9R9Fxgkla0LvaUfAkXhucLkhWWUiFApNCAX6csOVisdFgKFEajh6LToTzZyUgajq7ofH8xR4nkdVVRWuv/56mEwm6IfbQPFRWPokMyhWR8qpev3UlN/b3HtQtczvJBm5gZLr8Wp0FgK89BDnKQY0RWE45n9RvOtRALHGrRjSzu6Gpe9jZB35bdL3ztBnQE8rb5pSC+EVv48pWrsAANKj5xCJi4nl5fN3QJqhkvFKfZnT0dL4K/Lwoxg0ywYqS7dkaDVv3jzU19dj2rRpouGTFrZskbxCBAUJ+Tlt27YNb775JkKhEMLhsPiwKHLo8dRNebghrqG8yk0e+t9aLClRud1uVFdXw263o7GxUTwfhmE0Vc8E6pWWpJ588lNSXITHlhZjwVS198hEKvsIKJphxtS1DtSvdGjKhNZeR7635u3JK18hnzTD3f0bKVjNm0I+76FXhjSrJmE/h4MvDeKDP2jLcnrOkQlSb0tQwSvf+WQP3n1Keh+BhqOFNSYagaW5CM7NhCPbhIBZh//2cPiRl8NXhsjxNy5ehoGHHkz6GQXIA48Iw6DfbENJ41KciZvkfy9PjyeulyqO3/eQDVYZKdxnZcBFeNy6wwOnV7ljdoInfV+csUntHIn2ZzAYwPM8/mWQHKstmjzomMwC085IgYcuYsPsmXPFCp68AbK7u1uky0TPL94QYUknv+Xw8LCCFmnnSuAo0MHbR85Nr9ejZRyGbuMGD9iGqrFy2WqsWLFiwmiNlY3LoLfeDJrNRtVSqWfB4PiceP9Hw7x4DRtjE1B9zxmAi8JoNIKNJZScQ7G+MVm1dLLMu2Q4SH74f1vsxv3XzkRerySdWjTTgruyrCgNqy+ySdOkpIjORGPO3emoWmLDggel557ewsBkZ5FTbwId1Ys9R6fe82lSMnf9qgdFOUq5VbkkPU3Tqn636fMJRbBgBunBSU9PBz3ixfAHO3DktY04/YGUVNJ5BkGHgvAcJWOnp307uHA7gCia3vLg+JvD8A9FNM/N2xNG804Pgr4ojr1BJttWNwtrBvnNhertxcDCz30Fs+78rGKZyT46W+F8QEdI5GjpVatCUojiKutzqJsbAKOjEPRE0b5/BJEgh3f/rxcHNw2C9fdA72lT7asJnkfZm/eqFod8YUSTJKWu4NLjSuBxEUCZpfLm76NLcQ5SpvOEKQsj/o3guH4AUXFwTju7S9zG2foy6tfPAyKE0+uwfzPl9w5ZyIS1fda30bL4FxgsWIqeKqJcEdWn4cv4IuqC/yduH7QVojbTAD9kk3o+qgg85KBDY5MIZEMka70HDfiLzHLt2MqNCFoJLen03MdV+9XV1aFj+tdxxjEL0Rg9RKvcngjnVkilXyYsnTPDMKiurkZpaSksFgvWrFmDxsZGrUMAIFlgIajQkrDbtGkTBgYGFJMLt4VVUeJKnXq8+MlCzM7Xzvi7XC4FZSqZzKCcZqWFoqIiZGRkaFaI5LSwiQJroGHPSZyl0ZtSe+w0va19bckz2/H0q0TL5Pj45UHwPI+AJwoKFNiQFEBGYlSI0AiHd37Xi5M7tSeopSwF0BR4mw75DIXTsgDFE3PNrj57KuXsNkNRWHOA+GiEGB3+OvMaPDIMCMyM/0ogcdwcSzLfbibrwwEOFWfD0MU17//UqU2p+t5UC4ZNFFzds+HsIQF9Y2Mjqqurodfr8V6IxzENRsS9FuXxn3Yy+JGDwZxPpWN6wwykDZCJX3papqKfIf6ePfzaEPxD50e50JtpsAYKxbMsCIfD2LJlC44cIapd8+fPR2SEx2B7GLogoeCk2gh7Pli0aJH4N83pQfMsDJaJlb1kdCxoHXlmpst8D6i4BnFvrMJoi6neMUE/bMf3Y8t/fB0Ptv0Wn2t9Emwo1mhO0YrG0numke/sX18nPUA2Aw2TwSo2hGdWGpBZYQSiFNb6DHh00IjbPNK9z7LK60RvYZBdbQLNUCiZY0FWlfRbmIKd+DfmcWR7SFCSbJI+fMSM+vp6FBcXIzs7W2XYCEjP58bGRvF53P7hHvA8h+LiYpjbCSWnr+UEjm5+SbW/EmHQLBGK6ToSwPu/78eep9WV+71/GUDnR37seaoPIR8JTAxWGpZ0FqyBQsA7cYIYo8HkcMFZWKxaPv/hL2P2PQ+rdwDABIdQ8O5j0Pm6NNePBq+OfEdc7Bqkwz7wERLcXmN/AtOtGzCt/3EYrDQ6D/rRstuLvb9twaK0X2Kky4PqV29E5eu3JTy+HLoR7XM8vbsfR14bn9z6FVwcXAk8LgYoCpOjv8fMwC/wDqc0wLNwJDMXjZ5Bd89anOsmPFU5tSnnAGmAC3lfjR0u9VI9HSWTsOG8RRjJmIKO2d9BFAyiHI+hQBT+MI9FpWk4seQZhMzZaFn8JBxGBl+YK2WkmLAPTEQ78KjYcruieX00sAGShS6pn42jIFmq7uo7ETG5ceLaP+P4ig3wZc1Q8HTnz58PhmEwWLIKByq/KC4fS+Bh10nbpjdvSLidQIGpqNA2MBIaZQEklbDr6OgY9ZziezuSQWjuzc5WS2QKxnTxmDt3LmpraxWVmeXLl2PlSik7eincTtNyyPWrN9MYaNcOEsJ+LqFkrpDZBiT/BjmETGMi8BwQlE0AqJgSDxfzHPD2hvHu/5FJxZlDiXXtv26j8d92GvnhAJo05s71na1jkjm8ffZ0mHgOrW7p9wzE+EDWJL1cTJQHHZOnPPU+uU/j+2ycNIX/Z6dRwQIbXTQ+bZY2+N8bnGA4A9ioGe5Sg0iBAoAB2TzJRpH/Nxgp3Gqm8U0bOcb9Fhr5LCUqF5WUFSM7i1R1IyHl73OVTG4YAHpOBtAio9/wXGrPEp7n8f5zfeg66kckzCOrygiapVTNkvL7xeophat7loK6UHm1DTXLpftjvMaU8XC73aJnC83pUbHYlpAKdj646q50zLrDBVtmNmpXPgyD4wviuilrSHY7GKuKMWxq44biO9Mrz/n0mx6881tyb+RNMaGqkXx3JgcJLhlQyIsyuNGrx68akzs1F063oHqp9N3Xnib041W5PwZA7tNEGOwMo6KsCjNmzMD8+fM1EzPLly/HjTfeqJJNjgSDsNvtoGKKY4Lp2+hQvkf8+YX82idsiFV9TXYGgfMMss8HfaeC4KI8LK4MOPK0VdVqXl4Be+fbyDr86+Q/gAx6TzuMg02IhjjYD5DeUZoPwzB0ErUvLcOkjYsBAC6WjIkmfzuMFnKf1Zi24jNZd6Le/Drudku0bSo2b/EPRROa9Va9Jql3DRRdi8FCYm6sowLobwshGuZFKfcrUOPOO+/E4sWL0dTUhPLycjz99NN46aWXUF5ejvfeew9r167FDTeoacITgSuBx0VCVaYVPSADQXWGAXuXv4wd0UkoC/bgmh29GBj8d3Fbno8g6/BvxNd0lJQv6RT8MwAAXAT16+ehfv088gABkcsVbuC7X+zEfS914lvbSBZLT1MIOsrRtGIDOD2hBAVtEuWCDnlAh9WKVwCgC/Qio+mPmuu0wAYGwNF6ODLzAVD4Dr6I7npJjjBsJoPVggULMH36dKxdu1YxEOblkQmN3DE1VZxY+iwAwNK7f9RgafLkyViwYAGuvvpqxXKWZcWyvs1mw+LFizX3n+isqhB41NbWYt26dQqKVCKFnNzcXNTWKs3kbDYb8esoLUVpael5q+uMBxRFIbvGiNAIoUQNxibNI4MRbP9ZN/rbguj4SPt6AwCbWwo84kvqiSauBhuN+uul4PO9Z/rEakZmIZn8+C2kEXjvn1NrMr4q6kfLphfQ1a4tUV2bnzumwC4tLQ3+uIjhiZhClYECvmmkYAxy+OLGART0SM8CY5jHxy8PobspgK4j5FnxgxCHe81k0nht7Cdu0NN40snCytBYF9cPMv8BNxY+5BapcQGex7KeCN4Oyis55L9QfFlspLHVzeITZvUwUjSTfO79zw/g5G4vTu/1oe9UEDabDdnZEm1wyPkxIjKVqR2/6Ek40ZCDiwD+wSiOb/OAC/PoO0USOB6PukpW2UieaRRoMJxR0RuUVW1EZoURFbFepKB34qgwgvy2we9Gbv2FcRg2WAlNCQAKphVAFxM9KJ1nhTGmJhcf/CVDfLU33rGd7pEmclxU6ocqnG5GTp30zKuIMMhIGxulzDpEqlSCF2Zvi1JFsHyhsjq761dqHxE5GIbRpLUNtpPglEsilsCHMn9RAAAgAElEQVRrBDJcRC0UAJAm8uNvDsM/qL525t2XIf7NGmgMtIdx7tjYTPomAt0nAjj0yhDaPtBOIEaCHA5ulJ57jtOvo37DgpSSipWv34ryrXej5rXVcOkkvcuKNz4t/v1w9k1w64jZpS7YhwaWzBka7ZLUv56WeorqXrwa9evn4dAfTuDEW6OzKvrL1qFzOhHwqDDuBMBj//P9YpAMPorcvY/DOHCl8VzAM888g9bWVgwPD6O5uRl33XUXVq9ejebmZgwODuLUqVPYtGnTBXnvK4HHRcJXF5AH0Mw8E354bTYMNhdaeVlGiA+irNWH8hYfuIg2Nz2jLzXTNIMGR/IHO3tx/R9Oo9sbQb8/im5fFC0DZMD3hdVZgYCrBp0NXwZAqhRMjGol3NwjTolDq9WgDgB0ZASmvsNklhBTUsk48SfQXAhOlwtLlizB2rVrNffV6/UoKSlRu6HGJGOXLFmS9DvQQtBeBm8moZOwQe3vWABFUcjKykJ6errCPXdgYABFRUVYt24djEZiruV0OsEwjIJnHB+wnC+EgEugRo2WSTf3HkT9+nkolz385Zg2bRqmTZumue5iQK5oMtRFrsOuo2TgOXs4kFBycsqNDkXzdyROJSboU1/L6SV6lM+3Ib1I+zsrrSgGAKRlaE8OownUswSVsaiGV8PNH76JOdWVY5ZCXBMXEHTFDm0AMCPI4183DsIa5LFirxSYsbEs/dEtUqUn3cbgVguDrW4WX3apJ1hmmsJPHFLQyego8TvfMMJhVW8UHIC9sc++TNYLUpBC5t5ok4aWjv0jaH3Xh0OvDIHneVB+aYIaNgxihFZSVnb8vEdUBNLCx68M4uwR5eSNt3mwdetWnJQJUgiQV8gAYOcvyYS1eolUhRB+pvd/n/y5MBpCI5wYvAjJggx3RrJdJhRz783ApBscyJ9qEpWUEl2/8Zhz7+dU1QGbXpmY0EP67YtmynxqaAr2HGVFRa8RkKYCcz8RN6ARAY0wFjzoxqJHMpE3mfSOnS+6jn6MfX9+BnRcM3zUaIY/l1SpAlmFGCmsxEiR5LnjLCxHZqXyGTIyGMHhV4fQdSSAoTPq8VnuVyRUd49t9SAwHEU4QYXkQkBo7pYHR4deGUTXUT/a94/g3f/rxXzfY6r9mJC6GuTtCaN5hweeHmUiVB9O/d6xc+o5SphTJ+sa7T+Dp0nNHmCCUpDUW34z/K4a8LF+0mx9E66yPgdffxQWug+Fu7+K+g0L4WrdhPwP1X4tFwvdTYEJU/L6e8cVVauLBCNL41c35CLdLD3I+3gpA0tzQHE7GUyLOm7SPEZ1sw/96aM/eJkkfRf3bFRnbbSkEgFgxE2a2PUjXRBMSHwZU0S52vr186SNeV6pzwigYM+3YOvaI74+svp1AFI1ZTxVi/NFf8kNsHZ/CCY4hIgxffQdQLjChYWFOH36NIqKilTrhSyhx+MRG77NZrPKWPB8UFNdiYqyEuhiNBH5BEHFG+ciKH2bNDUbh05q/jZa0HvaRT10iovAk3vhTIQo2eT11B4fimZY0L5XcjoXlI7qVtgRDnBoepNc05Z0FjRDoWGdE/vXD6gG7/eeIXr7NcvTQFGEAmLNSE4xESh7aZl6DJxSrz+4aRDDZ8OovTYN7nJpcBQy2nVnWrCvSNm4n+4bHlcTcRVL/DziYaAkha+CaWZg3wjq2oI4XGSATmMsMztHf+96HYU6FjgcAXYFOcyPTZKe0Wiavc1MY0uswTgthflkoklnNMTDc5oFZCzJEOWFHso+pbOH/ChfqFZE4zke/adCaPbuRjSbPC8dfVPREz0AxKnxCr+rwaJ9Lnq5v8wEsaAEil7dCjsqiybBd1oP20V8zlEUBVcheUYwscu+60gA+VPIM8JZfB8855oR8b8FxjgLBvMpjPQTZas0meyqgNpMA2bmGfFBZwAZUelLyq03iRQiAYInQ069CXmTTWPyq7B0K12S3RUGfMJDxsFDjCSPHn9dRyM8mBRU6OQ485G2I3PUbEMkzQVbQRE8Qx6AomD2FcCUXoFoYAtmfOoOtO5RBrwfPCdNtruPK6W6i2cnrna+92wfWAOFefe5E24zkbBmsPD2RmCwyeYfp0IKRbtCg7oh3N/SDn2NdP16eyPY+xcyrnUe9GPRI8n7CxNhJGrHMvuPFMt0dEC1XZFhP+403Ief/+xFzL03A7qYXHhap+TR0zU1Ri+UjXE1pm3Y61uHaZYXFf2yxiF1YuJiQUgMjfc70wIVDYGnGZVnyuWOKxWPi4i8NB2MsmY7r8zUKqtHbU53rvYzqmWz9o3ORxUmjwJeyvpc0u2XlGo3GEf0ZOAueP87yGj6MwAgqpfOuW2O5BKqlRmRBx0ARPrYYMHSpOdzIRGNeZDo/D0ijzQVTJkyBVVVVZqOwxRF+O1y7vh4TH+SYdILi9DwslTloSgK69atw7p161R0KcfpLYrXdCQxbUmOii2fQvGuL6F415dQ9M5XR9/hPFC7XCkBuvcv0gA+dCaMvtYgzE4GGaUG5NRKlQjBC0AwemvfN4KRAfXMO6PUAHe5URV0yDnl4jGFxtOek+jJ3oGerJ2K9cNnSWbv7BGSsWr7gPhAjIyQ79USku7d2s4W3L7nddA0PaHXgFx8KrvGiDl3p4vZ+vKzyut42s1KF/NkaI8lQLcHefzOG0WI5zGikSDPlV1i5hQ+V6JJZ9jPwcrlwN4vZZL9lg7w4OEqlu6fzoN+zX6LaIRHT9ZORFlpAuhNa1ZsU1VVhblz52LBAqJkpE8QeBit0nL5R0q1z0SOoDcK/5CUTT78tyEc2xSCaaAERtulmRQI14eQZY2GOPiHbGCNDTDY7wdrnAt7wa3i9jzHY/hcGNt/1o32faTC7e+NYPFhCo8OGnGnR8r2l85XjxmWdBbzH3CjYpEVFo0qmyZ4HnrPaWTFVc1n5Kpl4AFiPrrwIWmyfubj1GlLi7/wDVjSE0/0OVYHUBRMGTmYO28eFi5cCIuvGPlTa3H1o98EzbKaKn0CfP1KqpVANxQw+06S6LLEFK6Eau2Zj0ew/WfdiGj70543uCgv0hcjsZ4HrWemFkbelcZwT3cY3SeUwUFgWH2cncOfQV9Yu4dEQFn0dVSYdiXdJh7H35Qqunn7/hsA0DH965rbmpkh3J91G2rNSg+ziE6dzLjYSIVKmuKBYBxugd4zmp3z5YcrgcclhN4iZa1rm9TqOSFrHs7V3YePp0hqRGx4dBlI08Ax8LIU3tvm5Qm3nZ1vwqIS7cxMVC9N0kwxU56oQUpVevIWonPaVwAAupFuklnnOYDnofOdwVDeIsXx0puJA/lo7uIXEoKZYPGuR1H34tWgoqk97Q0GAyZNmpS0J8JgII2506dPn5BzFTHGB5XQEySADfSCigZRv34e0o8n7seh+Isn9WiwMqhZnibKTHp7lANYYJiTHI9BJHirl9g0J/NasrmJGnnlKjoAMOuOdPE39ftjAVrMZNGeqwxaaBr48E/9OPWeD20nO9B8Qprw3rPrFazZ+zYWNB+ENegHp0G/SgVTZTr2ubKns0X2cUwOBnoLA3cRmaiXxTVQ2hKYBmphWoyO81aQx5/8PH6uobpTyAC0XJ75POrkw+ciiAYBfciJG2+8UVzen/EB6lfYYcj3YsB1ADw4eLojiEaj2L17NwYHSTnD2x0Rfx8BcuM5gPj75Obmin1WiQJAo11JNRMwFgoMz/PgOR57nu7D+7/v09zGcJEDDyoaVBjPAmTy2fqexO+naCsoisbAaRZ620ro0+5AaITD0ddJAqnlHR86D45g319JdpsBBTo2pjA6KmGVgdFRYwq4a19sROXrn4R54JhieelxKRsez8uXB7Utu7346KXUKssGWxqyqus111G6UoSdJCgZ6vMgNzcXVp0L4Ciwsgb7RNUzOSbd4EDtteoEh9HGILPCIPoYAUDQF8WJmKx4996JIaDwHI/eliCRUo7w2PlkD3x9MfrfCIehs2HxmWmiB3FbxsOYZpEEV17q/6749/y0p9F3KohIiMO+vw6IVWkAcDCdqNtMLNXb8u/B9uH78PLAN3Emey3eHn5oQj6LHN6YUaip92NpWc4cxTZ+WsliYCllUoYNe1Ie8ycScrqjEHBS0RDYkZ4xj+8AiBz20AkAABNVV4oud1wJPC4hphQl5/5GdTb01NyFPpeSSmMYakm6HxPyIGTNw+Ebt+HYyo0YDCgHoXV15KF4/wwnHluUpNRLj/4gDKQR92822I/inV9A1as3wnnqZVS9djPsnds19+EuaeChpD0U7fryhB2boig0NjaKajYTdlz5g5JLIVMVN+lwtG1G3YuEDpbz8c+19rgkyKwwIm9y4qZb+cTfXWZEVrVyW7kTctAbxYmY/K7g8zEaFj2SCZOd0Zwo9brfRcFMA/jYPwAKWsKHB95DOCJxnPXRCDK9g+fN2ElnKDzrYvCci8E306QJ69mPSGa3YLpZPN8H7AyWhDjcPE/KPiejd2jhX23KIeDVgHoQrI8z9TKdRyVHUBzTmShFEM+xpK+nT3cUEf0wODoELsKjtbUVZ8+exdatW3H06FG07FdLmAZNUpNxbW1twv4ng41G1TUk42nNUEpcZ5QaYHGR8+kcQxa96U0PdvwieZOzwTqxgYfe2wFX8/MJ19e92IjStz4LvVfixu98sgedH0mfS17505mqQTNudB70IzAsBV3NO5RJLp2RwsKH3Jh3/wT1rPA8aG70qnN8BR+AKAYAAINjMJ4sW3iNcgFFglOD9UbR5TzHSca0/RsGhNMUYbKP/lu6CvUKSqYc8WIYe56SgtWxzh/9w1GxKhjyRcW+qOPbPDj8tyHs+lWP2M8koL8thAMbpEDtDvcDcLJnMMf2nLisIzQZmwekcfHIK73Y/WvlfXet4wf4lPsRmGhyP3d3Mjg0sgKng9Nhy2JBU+pxypfRgJ5KtVRu2JiO1oVPqJaPRJXBW9BLTGPL3pa8SeTJUQA4xyvFVOTwZBEPF0vP/oTbXCgIAT0QS2zwgN7bCV2wT6Fgmip0/m5QMdWxv0fHkiuBxyWE26HOiuwulxRffO4GhEKHEY12YMc1UvWg4o07Eh+U5+FofwN0JACeNSJicqPHF0F1hjQY59p0eOX2ItxQnabIZGphODexqR4AUQWLDQ7A2v0hdIE+5O1V+3DIEf+wuJiIxgUe1p59Cba8fMDIqlzOU6+gfv28pP4pVJwMYuaxZ1XbpHW+DffRZybuJMeJSJLG19EcfiOySXLX0YAofTua+23eFBNcRcndYHkmjObOjxEoOYje7J3gqcTVIJPBikk1DZg0aVLCbcaCXIZCNkOhUkfhd04Gr2cwOLmLXAOs7LOlMxS+lqeH1cygfpUdJXMsKJwxNp8IA0VhiUH9fclrJmtjvitPOBj8LoEfyFiRW29SBXzr16+H309+Q7/5DLyDAQwPS/SKw4cPoyX4TsJjVlRUoLq6WnPd7E+nY8atLmRVGzHpBjum3aKko1E0hcqYNOzpD1OjJnafCIiCCMmgM55vOKpE5eZbkHvgJ6A1qt9UzMDN3H8ElZtvgdCbFw93uTQeCNnY9n3JP7ejQA+KHltFIxkoXjk59WTNEpUHFdCQdR2vSpjo6E1ZYHQ+isJZn4PB/iDmfiZDlOSN9Jow2BkSny+MrOIhVMni5aodBalVGbVMB8V1w3TKNJxwgMP7z/Zh55MksPjgj/348I/98A9FcO54ahFMGnMW4JW/5dnJhJbdH5FULXP1RG2MhjRBLjO+p9hvcEB67hRMM8OrJ8m3bUOPYKPlTzhXdz9aFz2Bc5PV/iHHV22CL1PNEvBx6h5MeSA1lLcIPK383ncO36faBwDa5v4A3bX3AACKd31Jc5sLCXnSKuDhSBAlUjrHHjqwMmr7pWSQjBdXAo9LCENOLX4cXotHQ1IEf8+h7+MYX4DWhU+AZ00YGPwGAIBlCzHiksrEWo7kAOBsJUZIugDJUAQjHA51B5FtZSG0l1SmJ590yXF6rtTH0bzkKdV6jiUDQP4HqatFcOzF944QQdE4tG43AvayS3cOY4Q88Mjb9/8AAPYObQ40gJR6VwrffQxZh3+N/Pe+QxbwHPi4x8FYemDGi8wKZXBRGsveF8+2jBpA1CxPgyOPDDynZDQSoZE2EcoX2DDp+tEbfts72uH1kwe84PERj0y6Cta2aeh6y4ZMSzGuu+46UBQ1riCk52QAe57uVfQ2FLEUaNm4RCWgkKUXG1A43TKuSaFFY5f/lSleCXFJrY5C0RgbeQEig1q3Uum5I8yv1qxZo9k35bd24L3jW9DSol3dZUNqrnZRUVFCo01jGgPWQMearw2a35MtK7FMsxYEpaB4mOOCM4FOeL4w9xxA1auS8IhxsFlF02CDStpRJqtupi2dawXNUCidOzbz0IpFGvx4novJlB5Tr0sCna8LrhPKqk1fxa0IajyX2VByX56xouGWR2BIux0AULMsHYv/pQg6E43VN9yIjK756G0O46MXJaWC7GrpGaUz0ihbYEXDOilwdRboUL8iNQGB0SomA6OYnwqI96cQ6DvxlNWE50EP4g73Q9DRStrRYOFy5E4yYSBagPYgMWVkqBCcTDsezP4Ebk7/MuptW1THkwcJFEWh4a4SbKneimP+axA1ONBTc6c6WovD2UkP47WBr4ivD/jkHhLSdd7DEY+ts1O/CDmad3ow7LNhW/ZTGMpXykJ7chcok45cBExwbCaDpr5DKXubyBH0KZNWH79Mri0W5LceM8WZi9t+nD0jDzzwAIqKijBjxgxx2Te+8Q1MnToVs2bNwi233CJSXCcaVwKPSwiKZmCb/1l08oTu1MunIQg9rg0+Dl/mdPC8NNmxWR9A++xvi6+zDv1K85jCxFRQjnrhCHlo56Wx+NnKXPzXkiwUO1MPPOTgWPWELqobffDqL1mteO3NmpFgy4uHS6luMVZoNe6b+w6Nun0grVhzPeuXyuaOdtJ8pxs5Bwoczk75PDpmfhMAFFSNCwW9mcaiRzLF/wUNZix6JFPVmKmFzAojptykzFznN5ihS9EZXY5rr7026Xqe1h4cQt3SPXFw4xDMZjPWrl2LqipJ5Srki8LTEx6VJdey24ugl8PIgPK95JLBOtPEZs8BIH6qU8kClToK1thbJTBNTxl5k83IKFFm5Zwx5SWapkWp6LEgbbBGFXycr3cORVGi58doTcvJGtAb1jlx1V3p5Jp+2A0mqu2dMFYUvvsYdP5u8XXp9odRv2E+St56UFxm7lMmpCbP7BODeQAoW2AlqmggjtqjIaPMgDn3ZGD6LU5RUUgO1t8LV+smFO/8osbeiVH12loV7ZNjye8nSLZ73SQLzgS1Jz+zPy1Nds8e9uOd3/WkJAzA6N2gaAumrlU+OxiWhs2tHhvlkrgASWzI+8+ql9lFVvJogYWcIqYFLTlwLcifCQMd0h08dIbMGeJlfwGgaJb0TM3UKQUZeqpuR8icg6jBgbL5VugtNLpqiLjNKud/odH+s9h+J7HI8qT6vDlyjZUvkq619GI9dEZKlQhqXfhT8e/O6V8T/+6rug0tQalnI/szN6NrEukVMVBShd/I92ModwFC+gxEw1LjvEAlDFvz0TntX6XjRogSZciaLy6re2Exal5ekRp1GYCreQPK3noA6Ukojokgpy8CAHiAklPR4gOJUUDJ6IlRxjSuYAgA7rjjDmzcuFGxrLGxER9++CHef/99VFRU4Ic//OG4jj0arsjpXmKUuvTYy1fgj5Gr8WRUivB5ngfPS6VviqIUZcWQNR9UxI/cAz/BSHo9BkquB/goRly1MPcfwYllpIn4DwfJJHRqjgn5dh3y7ak3nsaDY9QDO6dLPkEMWgtwZvpX0Ft1Gyo334L2Wd++LEqDp2d/F4XvfXv0DS8S6NAwmPAIwha122/J24+olhk1+nx03k7kHPwp0s4QVabTc36AytdvVW2Xc+Anite2M7tEFaugrQhU7GGc9+H30dL4y78rqb68SeOjYFitVqxbtw6RSAS7du1Cb6+S0+xLa4G9fxIWPOjG9l8RzjkbskEXUU4kmrd7xckFz/E4c9iP5ljzqDGDRWEx2e7c8QDMTkYxgdEZaQSGOYR8UUCWJZcbqbnLJtaYEgCaYtn9FUYKfwvwuCY20fqRg8H+ED/uno7Zd6YjqmFet+BBt6L5Pz09NVlrATkZBYh0GeHsb8DMe6w4fvw4Tp48OSaX+EQQZIBbdntR0JC4cianTggommlGbr0JrIEGGzsVV8tG5O7/IY5f9zzCllzVPmMBG9KegFtkwUbB+/+uWFfR9mOEb1oJg5VG/6mQ4v4wySozmZUGdDcps9/Fsy3In2oGo6MSyiPnfCRw81O/RnS+Ls3lkZhiYtBKkmYBRzlMg8eRdmYHemruEqXHrGffhbPtb2if/e8ommlG2wcjaIqZzJ3c7UXZfGvCyl/QGxWrAkab+jNZM9iUqwYCWD2hnzXc7IQxLfmzktXTaLjZiaAniiObSVKwfKFV7KfhNZTctNB/SvqtDm6UrovOg2TyXbnYhuolaWL/0aw7XDCmMWh7nwTB0686Cxwn+0QpA85NehDnJpEAlmaAOXdngIragNgwk61XG+8d1N+JySFC1w3yZB6QN0m6ZwxWBnPvVfeQ+jKn4cjq1wnzIcmzhaIo+J2EOjl9chPe+WgGMthW2Jg+HO7OF2lm+VNNKJtvg8nOwD8URU6dCZyOwuEbtyGwfSv2N9Xhqtgxu+ofRPahJ0HFKigUFwGfQi9r7oH/AUCu976KW0bdXo6uo1ISQzhHWlbB+cm+x3HUewY8ow56eY5sKz9HKhqK0RQp8BQLig+Dp/WKbSodlXi04dGk5zV//ny0tSn9VOT+aDNnzlQFJhOFKxWPS4xMC4silxnfiNyHdj5LXO4JtCEQ2KHYNmJwYsRFmqecp15B3cYlcJ56BXl7fwAmMICybZ+Buf8IaaCOu6FLnOMPOKIxapRAqxoLhJspZM3HoXW7MVS4bNznMZEYLlgiVgTG09w10Sh89xuoem2tKgNDh4ZBxXjaoZire3/xKhgEfw4Z8j/4nhh0AEDIkgMt2DvfUu4n0K0AeLNmis3/5oEj0PmTN85eTtCZqFEH/tHAsiwWLVqkWh7SDyB97gC6e86hLzMmMalXXzdCnwnP89jxix4x6ACAQC953Ib9HI69MSwqBomI3bLxhm9sjOs0da1jVPrZeHCHmYaDAh6x0vhuGo2bYlWVMpbCunGawAFExSfevA9QK46ZTKakrymOhdkj+ecYTUZMut6OqkYbzGYzGhoasG7dugnpPdDLqmXxdCs5vUWLqx+NQCW3mtb5NgCgeOejyD/PRAdHjT5B4uOSBDQXQtbHv0R+dg+ql6YpFKHk/UI1y2RUOIpUE4pmjk53FJ4lifr2yrfcgZwDP1YsY8La/WkCFWYkYwpOX/UfOFf/WTBhL0yDTbDIevGKd38Z9o43QYe9CjNRgGS9A8PaGeSuY37sebpPpGVqySyPpVqalk1+D+F6TsvSKa6fhPtl6UQ5cIBUBIV7PFnPmxxtHyTvx6FlhqAA+VwURaF6iQ0zb3dBHyVBz2DBUnTM+Z7mMUZLENLXS3L/IW5svWWczqoZdCx6JBOd076KM1PJpNnvILSqAtsJ2Jhu3JJBlnPD0rOz40CsL2woCnueTrxmedaIM5bFCEYtYt9L/LVHpSBuAAADhVJFnB3pVhgYjoauI+S9qxpt4jOeiuu9oviIhtoWD4YLknMUxnqeF3ujOMYoHS/FzzEWPPvss1i27MLM165UPC4DfOfqTNyxQUlr6ez5NlxGksmwWWMNUzSLlsbfoOL1T8LgOa3Y3tqzF6ZBIq/GMWTgjsTKzrPyTAr/kLHixLV/gqV7X8LqxsnFv1QoTQDkgeZofyMlKtalQl/ZOuTt/yH0w20IOspH3+FCgedhjSlt1L+wSDRoBICyN6VmuRPLngMbGoK9fRtoPgIqGgAfCwYNQy2w9Ekyg35HFUCzCKSVwjjcgt7yT8B18gWMZExWNdQzURmthKIVmRc6nFqj7WWBiWp6pSjMmTMHH330kejVAQDHWj6OZQB51OIETlGkjyO9RI++VuWDf7AjcTB7eq+SenPibQ+Gu8LwxmQ2BzvDClUcIRDRmy9M5Wm+gRbNA+dpNJpPFGZ/Oh10gons7Nmz0d3djdbWVrhcLuSaavBB81YAQEb3XPDgwUSN4OgwqitrYBknXXQ0sLKJ465f9pCBnQdcxXr0nwph0g12uAoNKo49ADgLNGg6MVqjwdsOg7cdjvat6JjxGAaLV4jbGIZaUPHGHarlctCREdB8BF2THoLPPQ1BWwGs5z5A4Z5vIiokhLgIRlx10Ps60Tb/hyjfejcAwN30R7ib/qh4rgCkusPoKBRfRZ7r025xYt9fBlB5tQ1Fp34FT85c0UR2NBi87aCiQXGyygQHkX7irzAOt8A43CLx8XkO2QcJxSqid4ANDYKj9aC5EKIxoRJQFIbzrwYAjDhrYB44qulFxAb6YclQV4j7T4eQN0k9tTm+NW7SqfG8iHeWLp2buKI/6QYHghry06kgPqCb/el07P5NL3qagiicNjrN1JbFwnMucWVG+Gzz789AJMSD1ZPrWlAGFKTtO2Z/J+n7dFfficxjahESr3uaohJetiwLzqLxVZvjMVAqMT+4mO9GRvNf8Wn3X8XlQxFlUs3bS563Q53K565QmTz2xjBcRXpVD1TtputwbOVGREza6p6svxcUH1GMidV/ixlbrt016pgzKKPBpZcYMHgmDP9gVBF4fLXqdvFvocIDEENfJkLGCh4UAs4qMIF+6GN0S7+zGkxwMGbwrNz3fPH444+DZVncequaMTERuFLxuAzgNDF4fFkW5hSY8KW5JHPkC0sZBL1+imL7sFEtZ1igkU37sJNMKN/vTF0eUgsRYzqGChOb/vkzJuHwjdvQV7YWp2f/O3pNIDoAACAASURBVM5M+QI6Zv0beipvQ8esy4fOFA/Bk6Ri652wnk2slnMhkbP/R6jfkNghnI6Q386XMRU8a0LYnI1oLABkg0OgY42X8UpnvbFycMvVT6Jp+Z/QNfXzOLJ2O9qvkqgY8RKG/aWkF0deKaHDE8NPv5Aoi5mZmc6z2iFHXl4eli5dimuuuQYzZ84EADgxCBu8KEYHPoFXcTVF5KKNaYwo/WvP1YHneDHrGt+Tce54QMzQAQAX4XHmkF8MOgCpv0CY3Pa3kcFL7ifw9whjGpMwI1xQUIDMTOLoa7VaYTQZYfYUwzpEMp4UKBgDWTCP5MOUNv7q7ajnaKUFVVWCWKKxPzaB+XgToa4KXPrpMnWs+J4JOuyF0XNK9R7CxFuAcO+6Tr6Y8LzYAPFdiBhd8LtqwOmsGM6/Gt01d4OJ+AGeQ/4H/wFL30EE00oRcFSqqh+qCunhH2PV0j0iB9/m1mHRI5nIraTgbvoDSrerFYjk0HmVMrflW6RnUOnbDyomrIW7CZXT4GmDtfsDAMCpBT9C8zW/w/GVG3Hy6l9rNh93zPoWAG0TVDbYD5tbfS3443qkQiOcyowy3s9HXB5rJJ/2CSdmfzodBUmCAFZPp26UGL+vgVCu5j/gFl8DxBk8FVUq1kCrRAy0wOhphZwzHRqGcVBNm0qERLQigZbVW/FJ9BasgrvCIgY3E4oEE/uDIysVr/f+mQQUmRXKKk2RTOXvnd/2orf0JsQjO868Uo7qV1ej6m9r4WrdpFpn8LRp7KHERzIaHGugYMsk1wtFceB5IMwlqCrxvBh0APJKZtz3MUrD/njw3HPP4bXXXsNTTz014UbIAq4EHpcJ6jKNeGxRJpwm8uD787E1sTUMGCZfse2ZBkljezA/TpccwKkFhI/YOkAGyzW1F16+lmeNONvwKIYLrkF/xc0ARePc5IcRNmeNvvMlgrxnpXj3vybZcuLhPvIUcvb9P6SffEFzvbnnAOjICDy5JChpXSxNVgRVsKLdX0btpusAnheNEQUMFxBVD05nRcgmSSNGZdvFZ0iE8nbE5EbQSpSGinc9ivr182Bv3wp2pBuXI/KnmlF7bZpKOel8odPp4HQ6RerP5/EUvoTfwAYyIMzk3gWDEBgdhalrnLDn6jAyEMGOX/SInPOpa51okDmJCz4WAuJ19gX4+iN457e9aHnHi55mUoJnJ1iW9XJDXl4eJk+ejNraWlA0YPEVwuRXZjYXPuROaA45EaBoClPWJHd+P/WeV1Qfsrp1sKSTSUF84GGWGZ0p3iOBgRkT0TaHZf29KNlOZE4jBpdinZCEoCN+UShCqIAcX/mi6LNEzucjxb7pJ19A/r4fqN5PbkCaqLEbAKzdHypeG2J+G1QkoKrIp53dFTOWlfo7wpZcBJzViBrs8KfXab6HIGii86v9W5ynXoFraI/K6LPzoB88z4P29yP7+TtRvOlWtL2qnGzzCSRMMyuMWPiwG7ZM3XnTNkdDWpZOk8omf0bwHK+S2D13PICB0yGFCMVVd6djwWfdMNP9mGX9I8BzMA4cQ/36eTD3HBC3q910nVgJSwVRgx2H1u1WKVoKY2fXlEfQNVvbPfxCggej2XqYU6esusT7qTS1FKJ99ncVy3g6QfV0NLWpFBvTAdJ0T9EUcupMcOQzMFA+UBQQ5rUDYDagNCOl+QhpIo+/XMZwDqlgy5Yt+J//+R88//zzMJvHRp8bC64EHpcZ0ozkbjo2QNzKbda7VVFnKK0ILYufxOnZ30XH7O/AlyGVwztmflOcaPb7yY2zqiq5ksY/K1KlEVwIZB35LdJblI1bHGNAlLWADfShdPvDKHnrQTDBIQRsRYrthMmGcbgVAGDt2oOwyY3hnHk4tmoTjl7/ikrfXI6QiQSDKuqcrDnt9Jz/AgAwsUxjwXvfFkvMlyPc5caU+NXjgY7msRhSRWwtXhP/nmp5CY68WB+Tj0PYr5wkGCwM0rJ0Ct+EVNAXax6VeytcqOzT5QKaplFZWQmGYVQZ6rn3ZmDefRkK3vqFQlqWTsxMakHg1wvKXJNvcKB+lV2R8aVDHhTv1jYnZaJ+UYnGcepVcbnBcxqm/qMAgJK3H0LJ26TiUP3qalHNypcxWXEsYWJe+5LExR5JJxTAiDEdzUufFfnppdsfhqV7L9xHn0HG8T9onpu16z1kHf61+DqemiKHUA09ufiXAIChvMWxffo1t888/BvxO+muuTslPyfh82llpZ1tm1G8+18xebUD8x9w46q7JJGCHT/vgfWFbyKDaoaL7URev5SxzqkzonROYgrw5XKfRYIcdvyiBx37SQWUi5BKanzyAiB9JjRLYVHarzHT+jzqNyxA+TbSg1G860swDLWgetN1in26q+9M+VwCjkrxdwYg0eIuAk4sUVK9hCqB0cogf6pJQd+M7/mJx6k9PnhdSqnzkEZy1D8cxb5fHk16LIO3HXRkRLPfg4vy2P4zKVEnyMbTDIUZy6RgwculYyCSiwBHxmLDcCuoaFC0Q5CDiobEykfYSCpl8Z5dY8Gdd96JxYsXo6mpCeXl5Xj66afx6KOPwuPxYNWqVZg9ezY+97nPjfv4yXClx+MyQ7FDmjB+ZssTWFNjQDDahwdnKZVfRmQDEC8rtw3nLUJzXxAmHQ17LIhxXyBu+N87ONaMQ+t2o379PAAksxgxZSD9xF+Q89ETONn4W/hdNRftfLyZM2A7+46YZTQNEcnDeDWcaFx1w9z3MUyDTaCiIUSMoysENa1YL2qHjzirYR44Bm+mUuI4UT+PpXsvfO5pE9ZPcbmDCQ5gwdtrEq6vLmtDR4zb7x9SZsjkzeAF08xi5SIZBHWh1neUFDe5FOY/A+RVDYON1pRyvZBoWOdE58d+6M10Qr8OoSFYb2GQHmsqp6JB1L3YqLm9HPUbFqCStUEfUfYdlL15L1oXPgFLXHVCAB8n8MFomAj2V9wsvaAonG14FM7TmwEAJTv+Jel5Fe9SKuEk8/Jhwl7woOBPr4ffWQU6VsnJ2/vfmtvLqVe9lZ9Meh4C5IImFBfW9CygGQpgAEYnjHMcppo3IV8vVZwEh+30Ej0qr750BrbJYHRxCPRL13nAQyaVXcf86GsLqvoX5BDuF2cOD8TNg33uBrhOvqDyQ0llrJAjapTGnYtpAhx0lKNp2R9RueU2nCn4JDZ9cCMAkiejWQqcrCHfoKFUZnEx8PVLz+aQPhM/7yK0xvtzPgVGZsar851F8c4vIhqMwKu/Mel5uVpeQuEeIj0f3z8Vr+bHynrncvb9EJ1TvhB7RSHMm6DjgwB8oKNBMaEIAMPmYlj9HaTiAR5U7PoXAr+IwQ5doBfhuEpoKnjmGXXvzl133TXm44wHVyoelxloikKGLFB44WgQrzZ5kzqa9pevBQAcvf5VcKwZX3itCw9sOoNuXwQGZuKcZv/RUfjO12Hq/ViUiMw69MtR9phYhE2ZoMBDJ6M0mYaaVQ36YXOm4nX6CdJ0p8Un1wRFixWR1kU/x9Hr/4ZTC/9XsUk0QeBRsuNf4Gj7W2rvc5nAcu5D1K+fh/r182CTqX6lgvTmDUnXO7p3i8d22KSBvWZ5Guw5UgnflqlD2Y0h5MQcl8sXWLHokUyVrn8i/5Lif7LAw11uQNkCK+Z+JgOzbh/bBGkiQNHEfyCzwoj0Ym0qhs6gHj51I+dUy5qXPIXj161H0FqAodyF4vL4oEOAIjgYxRxsOHc+OBlVJMpaVNVOTmdRbJMIztaXVcuSKf6Z+w8TWVKKQlRng63rXdS+cLXYwyGgLVY9VZyThieUJmRJtboXFqNmE6neRGX7y4OjvMkmNJhfwry0Z0BTUjbYyRLxlqqYOz0VCVwUg9SxIHdBBLYsFhRNVPH2ryeVI0ZHaQYds+5wYcpNDmRVGUGzQM3GZXAOvK/aztb1LtJb1P1D8ibuVCD0lvrt5RddEj+UVoRjKzeif+ZnEQW5louvsioSFIUzzDBY1EnWGbelY+FDUvN4JChdF2Haogje087sgMHbDnP4LK62K/1K+kpvUhgTxl/ncsQrE8rnYGldpHoekRkaUpT2fc5TNEJW4nNEAns+tjx2PFoHv7Makbg5weWOK4HHZYjpuWp1CH8SJ93hvMU4tG630pkTwJstPhjH4TT8z4Zjq0gZ3jxwRKHOxQZ6QYe0JwfnA2ccxerUvB+ia9JDCDgJvS6eohFvIBgxOBXlYUGVSqvfZzTwrFFsspcj2cQgrePtMckJXmqU7Py8+HdG01/GtG8iPr4WPmW5Ey6WNBzGO7ILqFxsw6JHMpEXa+jNrjEqgg+TQz1wFs28cFzbyxUURSb+OhN9QXs6UkH1UjJZtbpZlC+QkgDlC9V0HUfba6plAUclwpYcnLj2z6OqCMVDLjyhldUM2YpwZI0kjx0xamc+6SRym3TIA8NwK/L2qvs9HG2bNffRezsUPR6C94/8fbrqP4vTs7+LkFXpTN98zVPjrpgKVZWemrvQPvPfyLn4pCb3ylkRzE17VrVftr4J1644Ap2JBhMaRt3Ga1D34tVjPwGeI8Egz4tBmanvEOrXzzvvsYKiSNM7zxGqmEDf1+oDmXNPBkx2Fo48PaqXpoGOBhTNyKMhYCtOSsfVAs8a0brwCZxa8OPRN74AiJjcAM1i2s1OlMy1IKPEgO4TUj9SMilkOUVzz9NS/4Q52gNn298Q8nMY7AyBhzY7xM/ZcLbhS2if/V0cWrNdffxoEGXb7kH9+nmgIgFEQjyM1BDWuL4GGyMlI3S+M+LfYVMWbJk66Ew0ApyauiYmC2LBt26kS1Sw+nufuv99n/0/KO5ucOCR2coBpKk39QmQHEPB8XMA/1mQqORsHD6Fyte1KQGmvkPjcvau3rRSdJcXELbkoLfqUwmlh7umxNEjKBpN121QlXc7YwowEwKKxqF1u9E2Vz0ZSet6B2Xb7tPY6fJD/p5/U7xmwtq0mURIlPHtnP410VNHjhWO74/p+DRDIbfehEk32FF1jQ0URcFVpMxOWzMvnIrTFUigIn4wwSHVMp0uioZ1Tky5yYG8KWbMvTcDCx9ya/abWM8ps6Ati5VZ00SZ4tEqEh0zvoHmpWpqhIDWhU+AB422uY9rrg+b1BnRwQKiVFi76VpUbLldtR6QVPXiUbBH+ayJaCQveqvvwHDBEoRsUuBxZPUWMcGSKrSei1GdFRETycALil8AUPvKKsV2bcFp4t9l+x5D7r7/RuXf1orLxpJYAIDaFxtRv2E+Kjd/AnUvLAYd9qHsrQcAAOVb7xrTsbQgV6ASEF/0srpZGHUjCm+HrMO/Ue135AbtoBEAeHZ8FQtf5nREEwS3Fwu2LJ0oOSx3cB9N9W/KTY6E6/Y/34fDL56D++hTmutf6f8WqTVQNECzCFqVgj9Fu74E0wBxZMz56AlEOk9jru1Z5OiP49Puz4KK+AGeh7P1FXLeersYfFMUEOVZjNiV90XQToQhhOZ3xaf7O2exXAk8LkNYDQyurbDh24ul8uA3txH6TTLKFQCEU3Q+vYLUwAYHyOAU+97p0DAs3ftQ9tYDqNw8NgdTQNt9OCwGPgncdtNK1As1HjxjzWClAk/uAhxasx3HVihL9fqRsxP+XhcCjo5titfGoZNj2j+j+XkAZMJ0ZPUWnJ5N5IiHc+ZjqGCJanuGGp8ZpavQgOwaUumMz3BeCNPAKyCgQx5kH/hfMMFBVL5+G2pelnw00jreQt3GJajY/EmkZevE5nGdkdYMOuynX4d5QGpIjejtil48LfSXrkZ3zd3orrsXADCcuxCHb3pLVJUTMFi0IumEz5c5HYfX7UQorUhz/Yllz+HoqleIiWusCXwkvT7puQEQJ/fxMMVJssZz/gVpbkD5XErUO5YMzUvUAddA8UoxYSQEHlqSu5bKAvTI+klcLS+JghkAFLTWVEDHEhH6WOZa7+sUJ6FSNnr80DI1jBdXqpvlRe1Ly1G060ugokGY+o8g44S6ksslaQCnIuNLZF5ukNMg480742HPUY+PO4fvIX94hjDVshE6jfH5N+eeQ3ekQtG3EdUpv1vBhwsAXK0vYf6JO1BjflNcVrdxCVwtL8LeTryJ5L1LQkU3NMKL5r2KYFszyPj7HhOuBB6XMWbmm/HFuVI2vn8kguv/cBp/PTSUcJ/O4Uvvwv2PhrpYlqvg3cdQvvUulOyYWKUHYYCgNKTxztXdn9IxAvayCT0nBWgWEXMmjl7/qmKx5dyHCXb4x4CcA87pLOB0FgwXXENojUYnfO5pCBvTCXUkBivTj2zdMc3jZQweQNkbd6Juw0KkN/0JlnPaHOH8BkKtqlmehowyA+zZVyoeFwpZR36LjOa/oubllaJyVM7+/wF4Xmwc1Y+cRYWs8kmHfZqVsPQT68W/j17/Ko6v1PblkFM1zkz7Crrr7hXFHfrKbgLP6HGy8TdoXSDruzrPDCens4jNwb1Vt8PrboAnJ7F/0JEbCGVMcF6XQ+7t0zGdSKkOyWieg/nX4My0ryj2CcokvceKiFFD3phmRVqZoKIlr3wIMATP4dykxH4kxuGxJSLiYenZr5I4Tgk8B0fbayqfJKNNPXkeGZTGBVsmixl7ybVoO/ce6l5shPvo0+L65mueQuuCn4hKUMevlUz3OFpPjP8whn7Ayxyl86QJusmePPCITxZkVRvhiZJK4EzrX2GiybzqXEgyEz5U9l2EeBIsy01Dhb6Qk1f/KuVzzd3/I1FyWg5BJj0c4BG0FSOid2gqbSk/zJXAY9ygKOrLFEXxFEVlxF5TFEU9QVFUM0VRBymKmjbaMf7RsbhYyhDtPE0yNc8eSKytPhAg6ZGGHMIxv7HmipRuKjjT8KVRt7F3vg29RvNoqjAMtQAA+ktWE230a36Ho6teEdd7cucptj+0dhd6apJLHoZiilcnG9Wl9olGfA9Ryc7PX9YGg5buveLfp+f8p/j3aPQKKhqCbqQrqYcBAAQcFTi+ahMCzko0Lf8T/A5SKl+b/nXUr5+H9KY/K7afcez7MA01g+KjyDn4M5Ts/ALA8zD1H0H9+nko3vEFGIZPIS2LGLllVhhRd519VInIKxg/tCar6Sc3oOTthxTLDJ7TAM/B3HMAtS8tQ/YBpRiDYagF5oEjAMgEL2pwJG7ApdVikgFnFQ7f9CZ8WbPIMfQ2+LJIMDLi0va4GC/8rhqcWvQzhM3abs3dNXeBi1UwDN4O1T3uivWocbQegyWE2uTLmin6I7AhdWKsecnTOHzj1nGdb6LvUcg653z0BOrXz0OujMI6UESa0C09+wGKwvEV2iIRhe8+Bkv3vpTOQysIy/noCVj6DoqvU6VumfqPIv+D/0D2wZ8pluvNNKxu6frIMR5HCXbg4eybMNn8smiWqjivLknqO2zOgi9rJoIOMnkOW/Nw5IbN8GVMReuinyYVC/h7hFzCWpeCz5FQUcqdZEI0xMMTJRW9yZZXMdlCgu2XB2Q0woYlqF9FaIQhnxR4tF/1PXRX3wm/qw49lbed12egKAo0Q8U8W4CwJRuIYy/I+7tCGrTJvzdcssCDoqgCAEsByJ2GrgNQEft/P4AnNXb9pwIji9J/8yFp6DUkabZ8+RhpcAvGmtFLnaOrmVwB0F+2BsdWbsRwDpn8j5pxGCOoaFByKG59CQCIeZYsm8exZpHKQ3Ya/UHafM3vcPy6DRddZUSAcfDEJXnfVCAPHIbzFqNz+tcAxIzdkphD5X34n6j621pNqdJECNkK0Tb/h4plOQd/Oup+On83yt4k/TLW7g9E74YruPCgQ8Owd7ypuU4+mRSgGzknunnHqwSZBmRVrhTu20Nrd2HzVUp6jNY9fPy69Zp9VhMCmQNbREYdGcpTNl3XvrQM4HmYe/bDcu5DUcqz/arvKbYbzluE/pLV4n0mB88YVFLAY8GJpb/HQOG1aJvzfbQu+Ens/JXfs7zZ/WzDlxC05KF91rcBKFWwACi8kcy9B5AKCt99bNRt9F51RlsLTEza1uBpV62rlxmhrnF8DcscxBB4Qdr/IZc9lPS4mkIhehtaF/8c/vR6FUXoHwH5U02wulnR/T0Z5tydgfkPuFGxyIbyhVYwReWK9WHOgCCvpA0KwcqBFwYR9pPgI+CoQHf9/QBFIa1T3Ww+Vgi+RcLx4xExZyJkykLIkjNhPTYPPPAAioqKMGOGJKX/3e9+F7NmzcLs2bNx/fXX48yZM0mOMH5cyorHjwF8BVBYiK4G8CxPsAeAg6KoHM29/4kg9/YAAHcclzHK8WgbJLSQ9ztJM+B9M5y4vsqGBUX/XDKc54OIyS1yL/vL1o6yNUH567ehfv086DUGEDnkmbCBohUJt/PkEblNXsuWVQOcPo1kSC4SfOlK8yUqiVrOxYaley/q18+THNZjaiDNS54GIPFmS3Z+HjUblyNn/480j+OI8XDZmIlTx8zUmvbj3eMBwNyzH3pPO4wDTRp7QKUOxoQnXkXtCrSRdvad0TeSIT47XbH5VrH3S3EfcKM4HgMpUyXCEzjR0ILfUYmI3o5jqzfjxJJn0F+8CsG0YtV2eu9plG5/BCU7P4+0ju2IshZ4cuYotuFpHc5M/wrClokfsoP2UnTO+hY8eQvhy5qZdNuWxU+CY804cd1f4clbBECp0hdIK8YZWXCkRXGlokFYu/YolgkCAAGNnruInlSDEzXjx0MSuVD3ZDJJmqQT0Xw92Vfh8Jq3R33fzpnfAAD8//buPD6q6m78+OfMTCb7vkE2Qgh72BWsIFKtihvaVqtdLNo+yq/bo3axau1PaW1V7OKjrbW2jy1dtbUWFRWr1oq0CAKiImAICYGQBLLvyWRmzvPHvbNlJgskk/X7fr14ZebOnTsnzMnMPfec7/dbuiq4IONYNW1FPEuuGfjfiCdmLjLOSv6KwOc9Xf8Acy9OpNvvszzKL+C/qTJ4xqhmjq8S/K9O/IFN9cbFw23NN3Dg8hfQPeIxPLNxofj3hp7xvK6oZFz24IHl6bruuuvYtCkww+att97Kzp072bFjBxdffDH33XdqyVIGakQKCCql1gDHtdbv9qgxkQ34n8FVmNuCIlmVUjdhzIqQkZFBRcWpZxgaag6HIyztuHWe5ma/8gPNHc6A1/l7qZuXj2puW+QbR9rbTnLpZMWJquCAO9G7k+lXk+dOoiTmHDKnR7LoUHDqwO1zv09Gw26mVW4iqsVIn+oofo2KzMBgY//+EOlowJMD6cO4ZTT20U8isz/JyeTFNI+CPt1TReGdrK7zrXdvqi6nujurj2cMn4XFfwCgq/h1qtKWk1VTRR5QWdtEe2sFKU2deFaaW10dpB5+ht2pHw/KKOQJubUUG1lhqluc1A7wvegZrlvwxlf73L/xeEnAfaVdA/4MUe5uLO7uoKu5YmC6G1vI6WefE8lnkNlgXElP7LHUJrL1GHWH91BY8Veya30f0KVZawb0Hobr++JUVMw0Z1grKoAoDk+6DiqNIOnKpb/nwp3mLO1bvlmX+BNv0WFPp+L4yCeYCBUeX9pqx9kZ/P/aOG8DXfYUuiPiocNNgbm9rkNTc/hdUps/oDJtBSgL80p+Rnbtm2xd8FPao7OwOtspcjvojEhm66zvUXB8E5Pr/kNsp/F/sD/3M8w//CiNlYep6ej75NDq6qTobeP/3dHZTn3JLlbuvZma2T/E12o7mRGhL1aE0qDjOVY5sGXA5Wc9BZ2Y77k4Eb+YzBZjuV29M4+o1lr+Nf8hlHbhrKgwry0Y3xEnKuvojAyclaiwzuPggl9x9BUbDh3Lccc8fnniz0Sk2cmqaWW2OZx49YzfkF3zOkcnrSbd5cLhMC5WNP3kp3QdMFYOKAXKqtEuhdZgserTiiOPmD6DxK/f2uc+S5cupby8HK21ty1RUVHe283NzQGP9eRyuaiqOr3PgLANPJRSrwKhLsV+B7gTuDDU00JsC5mmSWv9OPA4wNy5c3VOTn9fIeFXUVFB2NrxZrn3ZpsTJmdle5dhvfwv47FqnQAYy0um5OUGHUIMRA6dBUXGCUluHpgDj32feIOiZ4yrZ/Gzz6Orexk867takJySAj3ee//+ENFmXDVpS1tE3KzzievjimdnztdJAEZnfV1gh+9mepwN2yj42wOIPmbM7qUlRGLNySG5y5i9ysjOxxmdRkxkLRwIfE5eWlxA8SX/makpJ14GICUzm6j0gf2OLZnL6I6dRErpswPaP99ZErQtd3IG2trPEkmtvTUeeqZVFv3Qmknv/Yy0Q74YnPqpa0gq30LtzM+Q4ResW3PeT6hRVvK33uxdyuNWNrOSMJy7NzDVdWdCAZ0f+Ua/AxoI8/fFEDmq1pO3427SmgKXnkU7akZt2ydNmRFQeNCnR3vNz7HZ5b9jdrlR+yNLnaR64S1k7DU+KArs9TTmLGWOWY3elZBLVl4BnXlf54j7a0Q2HaYzeRb29pNw+FGyItuJ7Of/xZPZCCChq5KVe406Qx89cKeReMBiI/srmrmbPg29TJ51JM0IyCzmmnEJOZmj8/0Y7WpyHqGr4nU646awoC2ZpOzgz95SjFn0WHsCCRGRlL/dZsTfmcveW2u76XD7Zq/tSbEs/kQK1ghF+dkPkFz2PJPyZ+DKn0E2xkm73W68jsVqMYpGmiVilFa+FMoKVMi+3DeL1eI9fl/sdjtKqYB97777bv70pz+RmJjISy+91OtxrFbraX8GhG3gobUOzjUJKKXmAVMBz2xHDrBHKbUUY4bD/4w5BwjPIrMx5s6V6fxwaw0ALg3VrU6yEwKXYDWZgeU9a4CIIWCxUXzRn/CsTuyZFjK59DkapvZeCdaTIam+YM2Yz0jRMukjxFdvB0bX0iDPMgd7m3EVJqLD+HvxLJ8LVa8lsvUYzpgMbB21JFS8TmuP5SOGgb9f5ecY67G74vJCxng4YiZjb6/iwGWbmb35Mm+63sDfo52E8i00Z58bvGZba5R2BizniWwuC51yeQLJfvsHuG1RVA0gSURc9faAQcfBSzfhy4/rAwAAHsJJREFUjE6ncsm3AbwDj/1XvuKNg3DEZgPGwKN6wVfJ2vtQyGOXXPj7QfwWo09zzvmw4+6g7Z4q1iOtdNUvUK4uHLFZzNzyKWPjAE/U2lPmEFO/P2BbWslfqV54C7ZOo8hc1q77aJyy2lu40P86qLZE0Jk8CzCX6Vrs3uWZvYlsOkysXyxKzziy2Jq9tGWeweR3/weLq7Pn071OFP0/HHHZ5L71XaIbi3FbTz9+RkBzjhHXlNRLqY/sBdEcf7cDR7ubg/9opqPJRUeTi9gU4xS6u8PXL5Zck0xcuu/crCVrBS1ZvWeQS/3Wt9Ba01oTvOTPnqiJjBzeON3169ezfv16HnzwQR577DG++90hrA9mGvYYD631+1rrDK11vtY6H2OwsVhrXQ08B3zezG51FtCktR75+dxR4KzcaNYuTOLcfGNZxbrnKjnWFLje8ECN8eE4OX5EVtCNSx9e8gyHLvwjYFQJ9i+Gdfi8X3nTE/rn7/fnKUjmOUHvrUjgWHL0Iz/g4KXP4rJGE9HR9xftcLKZ8RLpH/6BoqeXk3HQSCnpyY3uiM8Nqu4+ea8xo5W3/TtkvfsQcVXbQxz51GvjhArybIybTvHFf2HfJ7d5A3Q9PGlJAVJL/kb2nge8bfOXfvB3zH1mFRF+JzjT//G54CpjE0xy+YukHn4Gi6P/ApE91+E7owOzOzVPXk5L5rKAuACX34WGhqlX0Ja2IOi4x5bec4qtHgN6uUgy0LincGtPm09b5pl0x2Wf8nNLe8kEmPufO1Dm33xn8oyAv61e05YrhTMyGVtXE2hN4rFXydp9P/SIH5n+yudJKXu+1zYpM+lFqAsSVfO/RlPOeZStfJjWSctwxOXQbfZdyykWQhSnpvCceGJTbXS1unE6jKVWx3a303LSOAfzpNrNWRhNbNqpn38ppULWcBnJJGTXXHMNzz47sJn7UzXa6ni8CJQCJcCvgC/3vfvEYVGKq4sSmZnmy3zypecr+cEbvgJIxXXGVfXkqIEFJov+dcdkhgy2BOhImcORc31XtWNq9pJ+wFfsKqnlQ2Y/fwnxx7eSZQYyO0e46utQ0NZInNFpOOLzsIfISz5Sek1/65e+tGrxNwMeimouw9ZRQ0y9kS0m/sQOetL9VJUOxWXznai2pS1g/5otvFV0r3E1VqmglKqNUy+j5LxfA5Bw/HXAiOGY9O7PKHp6OZPefRjwpTKNrvsg4Pn9XWkd1/xO7qKaSsl++/tM2vsQMX5FvfxZ+vk2P7p8g3fmysOTccpli0Vb7ZT1CM7dd9W/acq74HRaP+q1ZgQGc3dHpXpT/Y4mxauf8iaSGKhDH9uI7nEalFi51Xs7pn4/8VXbAGhLW0j1gpt7PZa94wTJ5S+S9uEfyd1xNyllzxPVXAaArbOOlMPPePd1WyKoLbw66Bh9/R3XzbiWY2d9n7aMJd5tlUu+TW3h1bSlL+znNxWDFZ1opb7c4Z3dOPFhJ3v+0sAHLzV5s1HlLo5FneaKBqtf2nRPALyzfXhXR5SU+Jb+vvDCC8yYMaOPvU/fiF8aN2c9PLc1IPkk+3DpjHge3+VbS7j9WHAWjbwkSaE7EvLfvBWL22FU1Y1OI7/KKLg3ZbvvanbPCr9jmcseP3rqeGiNvSM4uPL44m8F3HfZEzi29B5yd97j3TbrhSu9t+Ort+OKiOPAFS9j6W4l8dhrdKTM4VT5ZznynaT2XvgToDNlNm5LhPdkxd523BvQnHboKeoKr8Ztxn7kmsGpLls0VmcHWe/8mKPhSrs6yiVU+gK7PeluwbhqHCr+xT+TmHOA6UU9M5b+V7wbplxCcvmLp9zeseZE0Tri/ukrdtkdPbSpxoeKI+7U15t3JRXywVVG/1GuLuaasRz+pvzHyIBVX3BF/7FXwKR9vioAcSd20plYwKzNgctwLe5uqud/1Tuz0R2dQUTHSXJ2/ZDG/EuDjtlblkNnVCrVC2/pt01i8JpPhL5gUXu4yzspPpBaIr3xL3BojVC4uo2DOrvcuF3gaHcTFW8ZUNrggVi7di1bt26lrq6OwsJC7rrrLl5++WUOHTqExWIhNzeXhx9+eEheq6cRH3iIU2O1hO7YX1icxBN7+i54JsLLYp5sRnScxBmdxqT64Kvn3THjJzu0KyKOSHMt9EjL2m2cdHfF5RLZ6kuM1zopOGajKe8CmvIuIGfHPSQdeyXocc/6dXdEHA0FV5xWe0K9bk9HP/KDoNoA/lfjo3vUSIlqPOSNW/EoO/dRCl+7gc6EAiYUt5Oo5jKiGw4QX9l7cL2luy0wHsvtZLKZFvfgpc+iLQObHe4yT2rrpvuuUlcu/iaxtXtpS51/Gr/A2NGRMtt7uzXjzJB1OsYD/zoq9VOvoCs+ME6rv78xtzUqKC5j0vuP0jL57NBPsNjoSCwkuqmErvgpRHQYqxeiGoOzWdWf5ueQGDq5i2M4/Gbo2k61pcZSt57V0U+F/9hSWRRWu8Ll0HQ0+eL5OlvcxA3RwGPjxo1B266//vohOXZ/RttSKzEA684IrhdwYaFx5S4tRpZZDbeG/MsC7iuXA3trBe5Qf15jPLDcn72tiqjmMiLaRj7/Q8oRowJ81QJflqGuuFy6+ygEWbUwMN2gZ720M3rwgbM9kw+E0py9ioYpq6kcQEA0QO7Oe4LWcnuWAaYf/N0pt3Esy925nsJXryd79wNY+5h1m/FiYD0e/0GpMzoNV4jaK6HUT7uKI8sfpDl7lXebtkZSfPFfOb50dMQ7hFPFkjuonX4tR1Y+NKx1g4abw5zNOVF0I3Uzrg14rCux74FHY95FIbfbOhuCtrVkLgOgO8b4v3T6FZKd8qbv8+DQBb/n8KrHqOpjiZcYHjkLYkgrCF+hXv9Tg4ho34yHP09tD6fD7S06OBbJwGMMunxWAps/56u8+q0VacTZLTxwYSY/Xj1+vxRGq8pFXw+4b3F1MWPLNVgIXYV0vIhu/BAIXOoy0toyzqAjaSYAJR/7TZ/79gwAb082ruwOVcaeIyt+TNnKvqeqj5/5XeqnfaLfYzliJgUNOhrzLkJbjOwpnp8ThX/F8djad3pdimLrbjHyVJo8geWn/B4rRevkswecMWm8aZx6GdULQhevG0/KV/yI6qIvBQ1Iy1Y+0u9735buSzjgvyQvVNG/mllGfZQEM34EFPvzvwBARFc9AEeXfY+uxAI60uYFxYSJkZFaELjULmGS730pXDm4xDFKKSLjrcQk24xg8+gQ/U1De4OTjkYXbXVOutpcQYUGx4KJ+Sk6zswyA87nZkSRGiMfUMPNf4oejHSoE8Gxpf8f8GWNGk7K3c2cv59Pslkvozsqlfqpa9BWO+UrHqT87PvRtv5TTNZPvRwwMhl5Av8dp5EhJ5TWSWcFBIIORNX8rwYEpoMRuNzeI4vSwcueo+LMu0Ap2tIWnVYcynjiyQYEcPSs71PuF++SveuHKGcnaI3VYcRqHDvr+8PeRjH6dSUWUDvrc0Hb2zIW9/vcpryL6IzPB8BpTwyYfQUoPffn7F+zhQ8vfpr29EWArxq6pbuVtijfRUO3NYrm3MAMfGLkZUyPImdhNHMvTWT+lUnMX+PLv5s9f/CFXO3RFm9guadGSE/+MyGONjfd7e4xN/iQgcc4kBwty6tGk4QeFY4BmrI/yoHLNw9/Y8LIs+wk48BvQfdS6SpMouoPYnF1kr1nA8rVRURnnTdVsTMqlZascwZ0nMpF32T/mpc4unyD96S0O3bk4nDqZnyaA1f+g/KzHwCgK96otR5pBpwDOCOTjZok5hVYtzWC2Nq9w9/YYWbtrCdr9/1Y+0mZG9VYEvD+J5e/xNxN51P0txXkbzNmJ8dDWmsRfs7IZO8M6kC0pxq11F32RBqnXBz0mNseH/D5UmEu09OWCJpjfbV4HH0sERUjx2JVTFsRT9rUSJJz7Fjt5il0GFZQ2wYYqN7V5g5ZA2Q0k8vjY9jDl07m7YoO7L2MjMXI8JzAelQu+saAltOMNZ6ZnoiOGnJ33DOsV5H9gzg9mWhCFQjs/0A23GamsboZnyauZo93/fVIaslaQcn5T3h/J/8T5UMXBBapiz+xEwDl7BjQLM9YpJydzN5szE7Fh6y14uOJ1akruJJUM/1wTwOJwRHi4KleLDIvBtjbKnH5ZUwrOf9/Qy6Xas1cRlPWSqoX/Dfd9b7EEsfPuPP0GiyG3RmfScFmH/pzMKUU9niNs8OC2zm2ZjT6IzMeY1hBsp1r5gUXKhPD78OLn6Y9ZS6OmEnY/OpJ7F/z0rgcdPTkv+Z+OFidwQHFnUnTB3XMjpTZHLx8M65RUmulM3mmN9C9KdeoEdEdnY4rKnD9uWe52NxNHxu3hQT9+5eneKJ/XEe7WUEaoKHASF1aveBmmrLPDXk8mfEQ4dBkVsBW7m5QioOXbuLA5Zu9Fc57ckfEcuzs+4KSYPhnEhOjW2yKjci48Kw6UVaIjBt/p+nj7zcSYgR0x06m9LzHaUtb6A26rk5Z5r2aPl7VFXzce7vXAn5ak7Hvl+Ts/B4RrYMsOKjdJB15IWSmGMcILpEKt4apl1N80Z8pXv2XoMeq5/lqV9hGSXrjoRYqeP7Iih9RtvJhquZ/jbJzf0bxRU9SuuoX3ryU2mqnPXVeyOP5VyUXYqi0py2kOesc7xIqZ3T6gDOngRHbAQTmVhUTmsVM0WuP8Z2ue6ucK4hNtRGfcerJRdatW8eUKVM444zgYqAPPfQQMTEx1NaGpzCtDDyEGEL+mYc+mHrjCLZkePhXAs/c93jQ46nFT5L5/s/JOPg7ko6+zMwtnxrU68We3EXOrh+S9c6Pgh4b15mdlMIRnxeygJnbHs+R5Q8CENFePdwtGxbWbiN/foXfEpS2jDNpy1hC3Yxr0bZoHPG5tKcF1tRomBpYuO3A5S9y+KO/HFdprcXooa12jp59P51Jp1fxef/HX2PfJ7f1v6OYMCw2RUyKDXushdg0G7FpNuzRRiHB2BRbr0Ho/bnuuuvYtCl4KWpFRQX//Oc/yc3NHWzTeyUxHkIMoeiGg97b3QOsijxepJQ9S+WS27z3rV0NAQW4hkJkjxmT6nlfZtL7j1Iz83M4hygN7ljkqQcw7fV1lK18+JSzaY12noDygEDfAQwe3BGxlH/kPmJr36N+6uW4IhPpiJTlqWIUk0HxhPLW38uoPx46E6Zbu7GcRgrvlOwYzvr41D73WbFiBeXl5UHbb7vtNu69914+9anBXSTsi8x4CDGEypdvGOkmjBq5O+4Jud0SquCb1iSVv4S1s773A2odNNNRO/Oz7PvkNk7M+9KE/sJ2xGZ5b0/592197Dk2WR1NuKzRdCUVUn72Axy4bOBBvy3ZK6le8FUcCVP631kIISaozZs3k5WVxfz58/vfeRBkxkOIIdRfddvxqDMhn6jmI4EbtSbu5K6Q+0977YtULvoGbZlnerfZW46S8/a9NE9ewdHlD4R8XkztuwH3G6ZcYtyYwAMOD22L4sSc/yJz/69pzVw60s0ZchHtJ7wFH1uyVoxwa4QQYmj0NTPhcDiw24OX14ZDe3s7GzZs4Pnnnw/7a8mMhxBDrOT8J4x15BPEkXMe8t3Rmvjjb1D0t8CTw9b0Rd5q0ZGtx5j65i0Bj0d0nAQgtvZd7C3HQr5OwRu+IOr9a7ZIyskeaubcQEfSzHEZYB5T9z5dCfkj3QwhhBiXSktLKS8vZ9myZcyaNYvjx49z9tlnU1099HGDMuMhxBDrTDbXoVdUjGxDhokzOp2OxEKim0qCBhwedYWfoiNlNrNeuDLk4570uNbuFma8fC37PvkmaHfI3PdHlv8It31ixc8MlCejGlqPn5kg7SKis46G5DX97yuEEOKUFRUVBcR8zJo1i23btpGWNvSxkzLjIYQYNIvb0efjHalzcZqF3UI+v0fcR/au+yh6xleDIabGV5m7PS10ilThq20RXb+/330jG0uIbCwhqqG4331tHbWhY3OGQfKRF4HA6u1CCCFO39q1a1m1ahXFxcUUFhby29/+dtheW2Y8hBCDVp9/OZPf/3nQ9gNrXkJbbCHrJlgcLUQ1l9GeNh+LMzCrR3K5cbKZcPxfZO3egM3RBBhZrNxS/K1XR875KVO3/jfTXr+JsnP+h7bM4BztAGg3019d672776p/93pM5XIw64Ur6IrP49BFfz7ttlmc7czZdAEVZ95F45SLB/w8m5lwQJZaCSHE0Ni4cWOfjx88eLDPxwdDZjyEEINWN+PT3tttaQs5OevzlK18GJc9oddibVO3fo2Cf30JW/tJ0oqfDLlP3vbveAcdAM5RUlV8tPI/OU85/Lde97M4OwZ8zLTiPwEQ2XI06LGUw8+Q8cGvfRu0Jn3/E9hbAtM0RrQex26mQs58/7F+X1O5ukgq2wxa0x2TAXBKgxUhhBCjk8x4CCEGTykOf/RxLK7OAdeQiG48BEDe9juxm4XvKs64k5xdP+zrhQbb0nHNGZXqvW0za1+E0jMAPbn0WRoKrgi5b6TfIGLSuw+TeOxVIjrraEudR2zd+wA0TL2M7phJ5G2/k4TKraSWPM3BNcasVURbFTO3fIoWM9uW1W8g2ZvMfY+TduhJrN2tpJQaRa68VZ2FEEKMWTLjIYQYEh2pc/sddHhT4PqJaTjgvd2ZOK3X57otdlrHWWG8cDh04R8A0MpC1q77SDz6CkVPLyf/ja8BoJydzHj50wHPyd6zgaKnlzPt1RuIaD1OVEMx0169gYLXvkjS0X9490s79BQR5qDFM+gAyH77XhKOvUZC5VYAbI4mLM52lKvLW1Qz/sROACzuboqeXk7siV2k73+C5NJnsXY1BrTHc3/ye48Q2WpkOXNJQgEhhBjzZMZDCDFsjp/5HaoW3sycZy8KeuzkrM/3GYC+/xOvh7Np40ZXwlSaJy8noerfULOHlCNGsb24mj1k7d5AZx+1ZqIbi5m55dQr1sbVvENczTsB2+ZsuqDP50x982bv7ew9Gzi+5HaUu5vUQ0/RnloUtL+2Rp5yu4QQQowuMvAQQgwrty025PbaWdfhDnFyWbnw69RP+0S4mzWuKO0OuT2l7NlhbsnAZe++33s7snVipKIWQoiJRpZaCSGGl1KUnvszjix/kIOXPUdb6nzqpn3SCEJXVkpXPUpH0kzv7vXTrhw/NSmGiSN28oD2qzjjTkpXPcqHF/ceiA7QkH+Z93Z3dIb3dmv64qB9nfakAbZy4JonLx/yYwohhBh+MuMhhBh27emLvLfLPvqLwMfSFnD4Y08Md5PGlaqFt+KMTMYRm40jLpuO1CKUy0HisVdpyj0f5XaaAz3fgG7fVf82skkdeRGUFaujmUn7fkFn/BQqF3+T5CObaci/jONLvg3Kgq2jBmdUGhEdJ4hqKGbK9juoL7iCysW3kbVnA/FV24noOElr+hKs3S1ENxbTmTiNspWPEF3/AfHVb+GyJxLRXkls7Xt0JBaSWLkVZ0Q8zuhUypc/SMLxN2icslpSKAshxBBat24dW7ZsIT09nV27dgFw77338pvf/MZbNHD9+vWsXr16yF9baa2H/KDDbe7cufqpp54a6WZQUVFBTk7OSDdDjBLSH4S/8d4frJ0NRgC4X7V5W2cdzsgUUAp7cznO6DTcEaGX2k00470/iFMj/WHicLlczJgxo9/9HA4Hdrs9LG3Ytm0bsbGx3HjjjQEDj7i4OG655ZZ+n19cXIzVag3YNm/evN1a616KR/nIjIcQQohBc0UlB23zT+/rSJgynM0RQohRb9sff0Pt0SMhH3NrjeU0lhmn5eWz4rM39LnPihUrKC8v73OfcJEYDyGEEEIIISa4xx57jKVLl7Ju3ToaGhrC8hoy4yGEEEIIIcQw62tmIpxLrUK58cYbueOOO1BKsX79em6//XZ++ctfDvnryIyHEEIIIYQQE1hmZiZWqxWLxcIXvvAFdu/eHZbXkYGHEEIIIYQQE1hVVZX39nPPPcecOXPC8jqy1EoIIYQQQogJYu3atWzdupW6ujoKCwu56667ePPNN3nvvfdQSpGXl8cjjzwSlteWgYcQQgghhBATxMaNG4O2XX/99cPy2rLUSgghhBBCCBF2MvAQQgghhBBChJ0MPIQQQgghhBgmWuuRbsJpG2zb1Vj+5T2UUjXAyJRgDJQG1I50I8SoIf1B+JP+IPxJfxD+pD9MEI8//njhkiVLoiIiIlyqj8rkLpfLZrVancPYtH5prenu7rbu3r2786abbirp8fAUrXV6f8cYFwOP0UIptUtrfcZIt0OMDtIfhD/pD8Kf9AfhT/rDxLF79+4Mm832a6CIPlYe1dTUTE5PT6/q7fER4gb2OZ3O/1qyZMnJ0zmAZLUSQgghhBBiGJgn7Gv622+8DkYlxkMIIYQQQggRdjLwGFqPj3QDxKgi/UH4k/4g/El/EP6kP4iexmWfkBgPIYQQQgghRNjJjIcQQgghhBAi7GTgIYQQQgghhAg7GXgMAaXUaqXUh0qpEqXU7SPdHhEeSqknlFInlVL7/LalKKVeUUodMn8mm9uVUuphs0+8p5Ra7Pecteb+h5RSa0fidxGDp5TKVUq9rpQ6oJT6QCl1s7ld+sQEpJSKUkrtVEq9a/aH9eb2qUqpHeZ7+5RSym5ujzTvl5iP5/sd6w5z+4dKqYtG5jcSQ0EpZVVKvaOU2mzel/4wgSmljiil3ldK7VVK7TK3TajvDBl4DJJSygr8HLgYmAN8Wik1Z2RbJcLkt8DqHttuB17TWk8HXjPvg9Efppv/bgJ+AcYHDHA3sAxYCtzt+ZARY44T+IbWejZwFvAV829f+sTE1AWcp7VeACwEViulzgIeAH5q9ocG4Ivm/l8EGrTWhcBPzf0w+9C1wFyMz5tHze8ZMTbdDBzwuy/9QXxUa73QL1XuhPrOkIHH4C0FSrTWpVprB/AkcMUIt0mEgdZ6K1DfY/MVwEbz9kbgSr/tv9OGt4AkpdRk4CLgFa11vda6AXiF4MGMGAO01lVa6z3m7RaMk4tspE9MSOb72mrejTD/aeA84Glze8/+4OknTwPnK6WUuf1JrXWX1roMKMH4nhFjjFIqB7gU+LV5XyH9QQSbUN8ZMvAYvGzgmN/9CnObmBgytdZVYJyIAhnm9t76hfSXcchcFrEI2IH0iQnLXFazFziJcTJwGGjUWjvNXfzfW+/7bj7eBKQi/WE8eQi4DaPaMxjvr/SHiU0D/1BK7VZK3WRum1DfGVK5fPBUiG2So1j01i+kv4wzSqk44G/ALVrrZuMiZehdQ2yTPjGOaK1dwEKlVBLwd2B2qN3Mn9IfxjGl1GXASa31bqXUKs/mELtKf5hYlmutK5VSGcArSqmDfew7LvuEzHgMXgWQ63c/B6gcobaI4XfCnPrE/HnS3N5bv5D+Mo4opSIwBh1/1Fo/Y26WPjHBaa0bgX9hxP4kKaU8F/n831vv+24+noixlFP6w/iwHFijlDqCsQT7PIwZEOkPE5jWutL8eRLj4sRSJth3hgw8Bu9tYLqZqcKOEQT23Ai3SQyf5wBPRom1wLN+2z9vZqU4C2gyp1BfBi5USiWbwWAXmtvEGGOuv/5f4IDW+id+D0mfmICUUunmTAdKqWjgYxhxP68DV5m79ewPnn5yFfBPbVT0fQ641sxyNBUjsHTn8PwWYqhore/QWudorfMxzgv+qbX+LNIfJiylVKxSKt5zG+Ozfh8T7DtDlloNktbaqZT6KsabbgWe0Fp/MMLNEmGglPozsApIU0pVYGSVuB/4i1Lqi8BR4Gpz9xeBSzACAduBGwC01vVKqe9jDFgBvqe17hmwLsaG5cB1wPvmun6AO5E+MVFNBjaaGYcswF+01puVUvuBJ5VS9wLvYAxWMX/+XilVgnFl+1oArfUHSqm/APsxMqd9xVzCJcaHbyP9YaLKBP5uLse1AX/SWm9RSr3NBPrOUMaAWgghhBBCCCHCR5ZaCSGEEEIIIcJOBh5CCCGEEEKIsJOBhxBCCCGEECLsZOAhhBBCCCGECDsZeAghhBBCCCHCTgYeQgghhpxSKkkp9WXzdpZS6umRbpMQQoiRJel0hRBCDDmlVD6wWWtdNMJNEUIIMUpIAUEhhBDhcD8wzSyueAiYrbUuUkpdD1yJUXC1CPgxYMcoxtgFXGIWyJoG/BxIxyiedaPW+uDw/xpCCCGGiiy1EkIIEQ63A4e11guBb/V4rAj4DLAU+AHQrrVeBGwHPm/u8zjwNa31EuCbwKPD0mohhBBhIzMeQgghhtvrWusWoEUp1QQ8b25/H5ivlIoDzgb+qpTyPCdy+JsphBBiKMnAQwghxHDr8rvt9rvvxvhesgCN5myJEEKIcUKWWgkhhAiHFiD+dJ6otW4GypRSVwMow4KhbJwQQojhJwMPIYQQQ05rXQf8Wym1D3jwNA7xWeCLSql3gQ+AK4ayfUIIIYafpNMVQgghhBBChJ3MeAghhBBCCCHCTgYeQgghhBBCiLCTgYcQQgghhBAi7GTgIYQQQgghhAg7GXgIIYQQQgghwk4GHkIIIYQQQoiwk4GHEEIIIYQQIuz+Dz56QImJVFltAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 3240x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labels found: ['time', 't1', 'sigma_t1', 'height', 'biasf']\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3240x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from importlib import reload \n",
    "import funcs\n",
    "reload(funcs)\n",
    "from funcs import plot_plumed\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "!head -n -2 GMX_run/HILLS_$prs\\.dat > GMX_run/HILLS_$prs\\r.dat\n",
    "!head GMX_run/HILLS_$prs\\r.dat\n",
    "d=plot_plumed('GMX_run/HILLS_%sr.dat'%prs,figsize=(15,5),col2plot=[1],multi=16,ymult=180./3.1415)\n",
    "d=plot_plumed('GMX_run/HILLS_%sr.dat'%prs,figsize=(15,5),col2plot=[3],multi=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#! FIELDS time t1 uwall.bias lwall.bias\n",
      "#! SET min_t1 -pi\n",
      "#! SET max_t1 pi\n",
      " 0.000000 -0.261357 0.000000 0.000000\n",
      " 1.000000 -0.246656 0.000000 0.000000\n",
      " 2.000000 -0.233781 0.000000 0.000000\n",
      " 3.000000 -0.231213 0.000000 0.000000\n",
      " 4.000000 -0.226249 0.000000 0.000000\n",
      " 5.000000 -0.219283 0.000000 0.000000\n",
      " 6.000000 -0.198188 0.000000 0.000000\n",
      "Labels found: ['time', 't1', 'uwall.bias', 'lwall.bias']\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3240x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labels found: ['time', 't1', 'sigma_t1', 'height', 'biasf']\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3240x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "!head GMX_run/colvar_$prs\\.0.dat\n",
    "d=plot_plumed('GMX_run/colvar_%s.0.dat'%prs,figsize=(15,5),col2plot=[2])\n",
    "d=plot_plumed('GMX_run/HILLS_t1r.dat',figsize=(15,5),col2plot=[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#! FIELDS t1 file.free der_t1\n",
      "#! SET min_t1 -pi\n",
      "#! SET max_t1 pi\n",
      "#! SET nbins_t1  86\n",
      "#! SET periodic_t1 true\n",
      "   -3.141592654   50.564862704   -0.000000000\n",
      "   -3.068532359   50.564862704   -0.000000000\n",
      "   -2.995472065   50.564862704   -0.000000000\n",
      "   -2.922411771   50.564862704   -0.000000000\n",
      "   -2.849351477   50.564862704   -0.000000000\n",
      "Labels found: ['time', 't1', 'sigma_t1', 'height', 'biasf']\n",
      "Maxtime= 165\n"
     ]
    }
   ],
   "source": [
    "#Comparing what we get with the reference\n",
    "from funcs import plot_plumed\n",
    "import matplotlib\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "!mkdir -p big_data\n",
    "!mkdir -p big_data/sh\n",
    "stride=10*16\n",
    "!plumed sum_hills --stride $stride  --hills GMX_run/HILLS_$prs\\.dat --outfile big_data/sh/sumhills_$prs\\.dat --mintozero >/dev/null\n",
    "!head big_data/sh/sumhills_$prs\\.dat0.dat\n",
    "\n",
    "d=plot_plumed('GMX_run/HILLS_%sr.dat'%prs,figsize=(20,5),col2plot=[1],plot=False,multi=4) \n",
    "#d=plot_plumed('GMX_run/HILLS_a1r.dat',figsize=(20,5),col2plot=[3]) \n",
    "\n",
    "\n",
    "\n",
    "sum_df=pd.DataFrame()\n",
    "\n",
    "\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "# plt.xlim(-0.6*180./3.1415,0.6*180./3.1415)\n",
    "# plt.ylim(0,50)\n",
    "maxtime=int(len(d)/stride)\n",
    "print(\"Maxtime=\",maxtime)\n",
    "for i in range(int(len(d)/stride)):\n",
    "    data=plot_plumed('big_data/sh/sumhills_%s.dat%d.dat'%(prs,i),plot=False,silent=True)\n",
    "    df=pd.DataFrame({'angle':data[:,0],'energy':data[:,1]})\n",
    "    #Remove average\n",
    "    df=df.loc[(df['angle']<0.6) & (df['angle']>-0.6)]\n",
    "    df['energy']=df['energy']-df['energy'].mean()\n",
    "    df['Time']=i\n",
    "    sum_df=pd.concat([sum_df,df])\n",
    "#     plt.plot(df['angle'],df['energy'],linewidth=2,label='_nolegend_')\n",
    "#     plt.plot(df['angle']*180./3.1415,df['energy']/2.5,linewidth=2)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff6f40c69e8>]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# from scipy.stats import pearsonr\n",
    "\n",
    "# a=np.array([1,1,1,8])\n",
    "# b=np.array([2,2,3,9])\n",
    "# acf=[]\n",
    "# for i in range(100):\n",
    "#     cc=[]\n",
    "#     for k in range(maxtime-i):\n",
    "#         cc.append(pearsonr(sum_df.loc[sum_df['Time']==k,'energy'],sum_df.loc[sum_df['Time']==k+i,'energy']))\n",
    "#     cc=np.array(cc)\n",
    "#     acf.append(cc.mean())    \n",
    "\n",
    "# # pearsonr(a,b)\n",
    "# plt.plot(acf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#! FIELDS t1 file.free der_t1\n",
      "#! SET min_t1 -pi\n",
      "#! SET max_t1 pi\n",
      "#! SET nbins_t1  1000\n",
      "#! SET periodic_t1 true\n",
      "   -3.141592654  126.683888965   -0.000000000\n",
      "   -3.135309468  126.683888965   -0.000000000\n",
      "   -3.129026283  126.683888965   -0.000000000\n",
      "   -3.122743098  126.683888965   -0.000000000\n",
      "   -3.116459912  126.683888965   -0.000000000\n",
      "Labels found: ['time', 't1', 'sigma_t1', 'height', 'biasf']\n",
      "Maxtime= 5\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Energy, kT')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Comparing what we get with the reference\n",
    "from funcs import plot_plumed\n",
    "import matplotlib\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "!mkdir -p big_data\n",
    "!mkdir -p big_data/sh\n",
    "stride=10*16*100\n",
    "!plumed sum_hills --stride $stride  --bin 1000 --hills GMX_run/HILLS_$prs\\r.dat --outfile big_data/sh/sumhills_$prs\\.dat --mintozero >/dev/null\n",
    "!head big_data/sh/sumhills_$prs\\.dat0.dat\n",
    "\n",
    "d=plot_plumed('GMX_run/HILLS_%sr.dat'%prs,figsize=(20,5),col2plot=[1],plot=False,multi=4) \n",
    "#d=plot_plumed('GMX_run/HILLS_a1r.dat',figsize=(20,5),col2plot=[3]) \n",
    "\n",
    "\n",
    "\n",
    "sum_df=pd.DataFrame()\n",
    "\n",
    "\n",
    "\n",
    "# plt.figure(figsize=(10,10))\n",
    "# plt.xlim(-0.6*180./3.1415,0.6*180./3.1415)\n",
    "# plt.ylim(0,50)\n",
    "maxtime=int(len(d)/stride)\n",
    "print(\"Maxtime=\",maxtime)\n",
    "for i in range(int(len(d)/stride)):\n",
    "    data=plot_plumed('big_data/sh/sumhills_%s.dat%d.dat'%(prs,i),plot=False,silent=True)\n",
    "    df=pd.DataFrame({'angle':data[:,0],'energy':data[:,1]})\n",
    "    #Remove average\n",
    "    df=df.loc[(df['angle']<0.9) & (df['angle']>-0.9)]\n",
    "    df['energy']=df['energy']-df['energy'].min()\n",
    "    df['Time']=i\n",
    "    sum_df=pd.concat([sum_df,df])\n",
    "#     plt.plot(df['angle'],df['energy'],linewidth=2,label='_nolegend_')\n",
    "    plt.plot(df['angle']*180./3.1415,df['energy']/2.5,linewidth=2)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('t1, deg')\n",
    "plt.ylabel('Energy, kT')\n",
    "plt.figure(figsize=(7,7))\n",
    "plt.ylim(0,50)\n",
    "# plt.plot(df['angle']*180./3.1415,(df['energy']-df['energy'].min())/2.5,'b-',linewidth=4)\n",
    "#plt.plot(df_avr['angle'],df_avr['energy']-df_avr['energy'].mean(),'r+',linewidth=4)\n",
    "plt.xlim(-0.9*180./3.1415,0.9*180./3.1415)\n",
    "\n",
    "df_avr_n=sum_df.loc[sum_df['Time']==sum_df['Time'].max()].groupby('angle', as_index=False).energy.mean()\n",
    "plt.plot(df_avr_n['angle']*180./3.1415,(df_avr_n['energy']-df_avr_n['energy'].min())/2.5,'g-',linewidth=3)\n",
    "\n",
    "df_avr_n1=sum_df.loc[sum_df['Time']==int(sum_df['Time'].max()/2)].groupby('angle', as_index=False).energy.mean()\n",
    "plt.plot(df_avr_n1['angle']*180./3.1415,(df_avr_n1['energy']-df_avr_n1['energy'].min())/2.5,'m-',linewidth=3)\n",
    "\n",
    "# df_avr_n2=sum_df.loc[sum_df['Time']>sum_df['Time'].max()/2].groupby('angle', as_index=False).energy.mean()\n",
    "# plt.plot(df_avr_n2['angle']*180./3.1415,(df_avr_n2['energy']-df_avr_n2['energy'].min())/2.5,'c-',linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.xlabel('t1, deg')\n",
    "plt.ylabel('Energy, kT')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:moldyn]",
   "language": "python",
   "name": "conda-env-moldyn-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}