diff --git a/pyFTS/data/AirPassengers.csv b/pyFTS/data/AirPassengers.csv deleted file mode 100644 index 0ba6bd0..0000000 --- a/pyFTS/data/AirPassengers.csv +++ /dev/null @@ -1,145 +0,0 @@ -Month,Passengers -1949-01,112 -1949-02,118 -1949-03,132 -1949-04,129 -1949-05,121 -1949-06,135 -1949-07,148 -1949-08,148 -1949-09,136 -1949-10,119 -1949-11,104 -1949-12,118 -1950-01,115 -1950-02,126 -1950-03,141 -1950-04,135 -1950-05,125 -1950-06,149 -1950-07,170 -1950-08,170 -1950-09,158 -1950-10,133 -1950-11,114 -1950-12,140 -1951-01,145 -1951-02,150 -1951-03,178 -1951-04,163 -1951-05,172 -1951-06,178 -1951-07,199 -1951-08,199 -1951-09,184 -1951-10,162 -1951-11,146 -1951-12,166 -1952-01,171 -1952-02,180 -1952-03,193 -1952-04,181 -1952-05,183 -1952-06,218 -1952-07,230 -1952-08,242 -1952-09,209 -1952-10,191 -1952-11,172 -1952-12,194 -1953-01,196 -1953-02,196 -1953-03,236 -1953-04,235 -1953-05,229 -1953-06,243 -1953-07,264 -1953-08,272 -1953-09,237 -1953-10,211 -1953-11,180 -1953-12,201 -1954-01,204 -1954-02,188 -1954-03,235 -1954-04,227 -1954-05,234 -1954-06,264 -1954-07,302 -1954-08,293 -1954-09,259 -1954-10,229 -1954-11,203 -1954-12,229 -1955-01,242 -1955-02,233 -1955-03,267 -1955-04,269 -1955-05,270 -1955-06,315 -1955-07,364 -1955-08,347 -1955-09,312 -1955-10,274 -1955-11,237 -1955-12,278 -1956-01,284 -1956-02,277 -1956-03,317 -1956-04,313 -1956-05,318 -1956-06,374 -1956-07,413 -1956-08,405 -1956-09,355 -1956-10,306 -1956-11,271 -1956-12,306 -1957-01,315 -1957-02,301 -1957-03,356 -1957-04,348 -1957-05,355 -1957-06,422 -1957-07,465 -1957-08,467 -1957-09,404 -1957-10,347 -1957-11,305 -1957-12,336 -1958-01,340 -1958-02,318 -1958-03,362 -1958-04,348 -1958-05,363 -1958-06,435 -1958-07,491 -1958-08,505 -1958-09,404 -1958-10,359 -1958-11,310 -1958-12,337 -1959-01,360 -1959-02,342 -1959-03,406 -1959-04,396 -1959-05,420 -1959-06,472 -1959-07,548 -1959-08,559 -1959-09,463 -1959-10,407 -1959-11,362 -1959-12,405 -1960-01,417 -1960-02,391 -1960-03,419 -1960-04,461 -1960-05,472 -1960-06,535 -1960-07,622 -1960-08,606 -1960-09,508 -1960-10,461 -1960-11,390 -1960-12,432 diff --git a/pyFTS/data/Enrollments.csv b/pyFTS/data/Enrollments.csv deleted file mode 100644 index 5cb2313..0000000 --- a/pyFTS/data/Enrollments.csv +++ /dev/null @@ -1,23 +0,0 @@ -Year;Enrollments -1971;13055 -1972;13563 -1973;13867 -1974;14696 -1975;15460 -1976;15311 -1977;15603 -1978;15861 -1979;16807 -1980;16919 -1981;16388 -1982;15433 -1983;15497 -1984;15145 -1985;15163 -1986;15984 -1987;16859 -1988;18150 -1989;18970 -1990;19328 -1991;19337 -1992;18876 diff --git a/pyFTS/data/INMET.csv.bz2 b/pyFTS/data/INMET.csv.bz2 deleted file mode 100644 index 16f2b31..0000000 Binary files a/pyFTS/data/INMET.csv.bz2 and /dev/null differ diff --git a/pyFTS/data/INMET.py b/pyFTS/data/INMET.py index c8b859c..2c0fc72 100644 --- a/pyFTS/data/INMET.py +++ b/pyFTS/data/INMET.py @@ -13,14 +13,10 @@ # http://www.inmet.gov.br +from pyFTS.data import common import pandas as pd -import numpy as np -import os -import pkg_resources - def get_dataframe(): - filename = pkg_resources.resource_filename('pyFTS', 'data/INMET.csv.bz2') - dat = pd.read_csv(filename, sep=";", compression='bz2') + dat = common.get_dataframe('data/INMET.csv.bz2',sep=";", compression='bz2') dat["DataHora"] = pd.to_datetime(dat["DataHora"], format='%d/%m/%Y %H:%M') return dat diff --git a/pyFTS/data/NASDAQ.csv.bz2 b/pyFTS/data/NASDAQ.csv.bz2 deleted file mode 100644 index b78463d..0000000 Binary files a/pyFTS/data/NASDAQ.csv.bz2 and /dev/null differ diff --git a/pyFTS/data/SONDA_BSB.csv.bz2 b/pyFTS/data/SONDA_BSB.csv.bz2 deleted file mode 100644 index d4089f1..0000000 Binary files a/pyFTS/data/SONDA_BSB.csv.bz2 and /dev/null differ diff --git a/pyFTS/data/SP500.csv.bz2 b/pyFTS/data/SP500.csv.bz2 deleted file mode 100644 index 448c501..0000000 Binary files a/pyFTS/data/SP500.csv.bz2 and /dev/null differ diff --git a/pyFTS/data/TAIEX.csv.bz2 b/pyFTS/data/TAIEX.csv.bz2 deleted file mode 100644 index d143360..0000000 Binary files a/pyFTS/data/TAIEX.csv.bz2 and /dev/null differ diff --git a/pyFTS/data/common.py b/pyFTS/data/common.py new file mode 100644 index 0000000..c20fa2c --- /dev/null +++ b/pyFTS/data/common.py @@ -0,0 +1,19 @@ +import pandas as pd +import numpy as np +import os +import pkg_resources +from pathlib import Path +from urllib import request + + +def get_dataframe(path, url, sep=";", compression='infer'): + filename = pkg_resources.resource_filename('pyFTS', path) + tmp_file = Path(filename) + + if tmp_file.is_file(): + return pd.read_csv(filename, sep=sep, compression=compression) + else: + request.urlretrieve(url, filename) + return pd.read_csv(filename, sep=sep, compression=compression) + + diff --git a/pyFTS/data/sunspots.csv b/pyFTS/data/sunspots.csv deleted file mode 100644 index 398ebd5..0000000 --- a/pyFTS/data/sunspots.csv +++ /dev/null @@ -1,310 +0,0 @@ -YEAR,SUNACTIVITY -1700,5 -1701,11 -1702,16 -1703,23 -1704,36 -1705,58 -1706,29 -1707,20 -1708,10 -1709,8 -1710,3 -1711,0 -1712,0 -1713,2 -1714,11 -1715,27 -1716,47 -1717,63 -1718,60 -1719,39 -1720,28 -1721,26 -1722,22 -1723,11 -1724,21 -1725,40 -1726,78 -1727,122 -1728,103 -1729,73 -1730,47 -1731,35 -1732,11 -1733,5 -1734,16 -1735,34 -1736,70 -1737,81 -1738,111 -1739,101 -1740,73 -1741,40 -1742,20 -1743,16 -1744,5 -1745,11 -1746,22 -1747,40 -1748,60 -1749,80.9 -1750,83.4 -1751,47.7 -1752,47.8 -1753,30.7 -1754,12.2 -1755,9.6 -1756,10.2 -1757,32.4 -1758,47.6 -1759,54 -1760,62.9 -1761,85.9 -1762,61.2 -1763,45.1 -1764,36.4 -1765,20.9 -1766,11.4 -1767,37.8 -1768,69.8 -1769,106.1 -1770,100.8 -1771,81.6 -1772,66.5 -1773,34.8 -1774,30.6 -1775,7 -1776,19.8 -1777,92.5 -1778,154.4 -1779,125.9 -1780,84.8 -1781,68.1 -1782,38.5 -1783,22.8 -1784,10.2 -1785,24.1 -1786,82.9 -1787,132 -1788,130.9 -1789,118.1 -1790,89.9 -1791,66.6 -1792,60 -1793,46.9 -1794,41 -1795,21.3 -1796,16 -1797,6.4 -1798,4.1 -1799,6.8 -1800,14.5 -1801,34 -1802,45 -1803,43.1 -1804,47.5 -1805,42.2 -1806,28.1 -1807,10.1 -1808,8.1 -1809,2.5 -1810,0 -1811,1.4 -1812,5 -1813,12.2 -1814,13.9 -1815,35.4 -1816,45.8 -1817,41.1 -1818,30.1 -1819,23.9 -1820,15.6 -1821,6.6 -1822,4 -1823,1.8 -1824,8.5 -1825,16.6 -1826,36.3 -1827,49.6 -1828,64.2 -1829,67 -1830,70.9 -1831,47.8 -1832,27.5 -1833,8.5 -1834,13.2 -1835,56.9 -1836,121.5 -1837,138.3 -1838,103.2 -1839,85.7 -1840,64.6 -1841,36.7 -1842,24.2 -1843,10.7 -1844,15 -1845,40.1 -1846,61.5 -1847,98.5 -1848,124.7 -1849,96.3 -1850,66.6 -1851,64.5 -1852,54.1 -1853,39 -1854,20.6 -1855,6.7 -1856,4.3 -1857,22.7 -1858,54.8 -1859,93.8 -1860,95.8 -1861,77.2 -1862,59.1 -1863,44 -1864,47 -1865,30.5 -1866,16.3 -1867,7.3 -1868,37.6 -1869,74 -1870,139 -1871,111.2 -1872,101.6 -1873,66.2 -1874,44.7 -1875,17 -1876,11.3 -1877,12.4 -1878,3.4 -1879,6 -1880,32.3 -1881,54.3 -1882,59.7 -1883,63.7 -1884,63.5 -1885,52.2 -1886,25.4 -1887,13.1 -1888,6.8 -1889,6.3 -1890,7.1 -1891,35.6 -1892,73 -1893,85.1 -1894,78 -1895,64 -1896,41.8 -1897,26.2 -1898,26.7 -1899,12.1 -1900,9.5 -1901,2.7 -1902,5 -1903,24.4 -1904,42 -1905,63.5 -1906,53.8 -1907,62 -1908,48.5 -1909,43.9 -1910,18.6 -1911,5.7 -1912,3.6 -1913,1.4 -1914,9.6 -1915,47.4 -1916,57.1 -1917,103.9 -1918,80.6 -1919,63.6 -1920,37.6 -1921,26.1 -1922,14.2 -1923,5.8 -1924,16.7 -1925,44.3 -1926,63.9 -1927,69 -1928,77.8 -1929,64.9 -1930,35.7 -1931,21.2 -1932,11.1 -1933,5.7 -1934,8.7 -1935,36.1 -1936,79.7 -1937,114.4 -1938,109.6 -1939,88.8 -1940,67.8 -1941,47.5 -1942,30.6 -1943,16.3 -1944,9.6 -1945,33.2 -1946,92.6 -1947,151.6 -1948,136.3 -1949,134.7 -1950,83.9 -1951,69.4 -1952,31.5 -1953,13.9 -1954,4.4 -1955,38 -1956,141.7 -1957,190.2 -1958,184.8 -1959,159 -1960,112.3 -1961,53.9 -1962,37.6 -1963,27.9 -1964,10.2 -1965,15.1 -1966,47 -1967,93.8 -1968,105.9 -1969,105.5 -1970,104.5 -1971,66.6 -1972,68.9 -1973,38 -1974,34.5 -1975,15.5 -1976,12.6 -1977,27.5 -1978,92.5 -1979,155.4 -1980,154.6 -1981,140.4 -1982,115.9 -1983,66.6 -1984,45.9 -1985,17.9 -1986,13.4 -1987,29.4 -1988,100.2 -1989,157.6 -1990,142.6 -1991,145.7 -1992,94.3 -1993,54.6 -1994,29.9 -1995,17.5 -1996,8.6 -1997,21.5 -1998,64.3 -1999,93.3 -2000,119.6 -2001,111 -2002,104 -2003,63.7 -2004,40.4 -2005,29.8 -2006,15.2 -2007,7.5 -2008,2.9 diff --git a/pyFTS/notebooks/multivariate.ipynb b/pyFTS/notebooks/multivariate.ipynb index 93c24e0..06703b7 100644 --- a/pyFTS/notebooks/multivariate.ipynb +++ b/pyFTS/notebooks/multivariate.ipynb @@ -295,7 +295,7 @@ "\n", "from pyFTS.data import SONDA\n", "df = SONDA.get_dataframe()\n", - "#train = df.iloc[0:1578241] #three years\n", + "train = df.iloc[0:1578241] #three years\n", "test = df.iloc[1578241:] #ears\n", "del df" ] @@ -372,14 +372,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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q2Ax+HRPkT0l+C1JGAymqvHxYNjKHhNUV4yeRvuvZLTpgtJ+IzFgRiXyMaufq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7XhWK1sDImOfz8m9yrCZVOTg75O9UqYBpgo/taD+l5O7lWU9T3ZRKQbsaprX5UChneumbujf3Fy\njo4erQt83DNz+vwlwxLyqGTqdRf5w/dAh8TOzPcDWKqUul331HMATtJ+PgnAs37vCxH5Z0KPIiy/\nYSr6GZwQnerQ3DxzeKcWDfHPt1ebLuPV3FCrfQGANo3rY8l1B+I3I2tuM1OTemZjiWDKDk5v9Z8/\nZxT+e9qwqt+bahVbOresmURz+YadAIDVm362XGf85mByzyKcNc48v4aZ+I2CZVBW+zraee/zLhrr\nen/i7j2xDLcc1S/t9RBRtFVo5/qde/dXPVapVFI+oMYGla4enTWsxu9GI32dsMpVpFcvPxf/PW0Y\nnjprBG46om+N54IsRU7RF8SIjpEATgAwQUQ+1/5NAzAHwGQRWQFgkvY7EWWwdEqQOWWVjOqCSV0D\n2pOYBnXyknpcMzTOgSMHFwPwJ5EYkRtuv0p9ixtjeJfqHr/4RXCq6SCbdu61XGd8Dnu6U0ruPHYA\npvdrg24W1VHiST8HtLcOIpe28q/SChFll/KK5DZsf6VKCgQbaWKRW2jueaMs19FSV6XvwsndHE1n\nGd6lOQZ1aJpU2r5BHZa6p2r2apWlQSn1LlJ3REz0e/tElJkK6ubV6GVIlGsxjFsfdLBzwvWDnRuT\nKJretw3qnJCDiT0Nc0QTBa5R3djlSuJFrVNiUR6qu43h2PH54RVpBDom9ypCj9aF+OtxgyyX7dmm\nEK9cMMY0iPHorGFYuXGX6/0hotrnF4NrrP0VqkZC0i42gh5Gere1zuuRpxt94dXUvANKmnmyHsoO\nvgc6iCi7BDUq8LNrJkMB6HrlS4bPF9bPxw/b99hal50Trh/qZ2jPgohgSm97lSWIgjD7oB5o17Q+\nDuqT3t/lr4d2xB3zvkajejUvf9o0rof12/egpIX1RX31iA53+/DltVMcB2ysAjDDOjdPmqtORGRm\nd3lF0mP16+SglW6kxa+GdLC1LjdTXt2WrTXTtkl9rLjxIGzfXY7nPv8B172wxPNtUOZgfR4icuTD\ny60HYs09bxSePXtkWtvJy82pkXAq7oVzY6MzunCINlGt0bBuHs4Y2yXtkqnnTSzFqpumoUGdmoGO\nUaWx5HsF9az7f0qax4Ih+psBJwrq5Ru2bUREQaqTl9wOtWxUDyKCq6b3BFA9dc4PdpI/A8AV03o4\nWm9+bg5aNKqL347qZJncnrIbz7RE5EirQuuTXu+2jdHf52kbRwxs5+v6iSj7iIhhsrobD++L+ZeN\nR2E962pNp4zqhP/77RBM6cWpXUSUuboXJY8Uy8+NtY+/GdkJ959Uhul929ha14QeztvDe04os7Xc\nrDHuS8baSShP2YuBDiKKtH+eMLjG7/HRkXkZ2iNqZ0QMEQWrTl4O2jezd0GckyMY060lyzATUUYT\nEZwzvhTPnzMK9bXpdB21EWu5OYKJPYtM27k7jxkAABjXvSV6tS1ERy2oYHdEb0uXo+KI7GKODiKy\npXVhvVAy+h+YkCti595yANbJSAGgV5tCLFm/w5f9csvPYaBEFF33n1RmOCeeiCgsl2hlYZs1rIN1\n23ajvKLS9mtnDGyHGbrRtd9u+QUAsPWXfd7uJJFLmdklSkSBiEfrX75gND68YiL+c+rQUPbjd1Or\n52eWdYxl1O7VtjDl8hN6tAIAvHj+aNvlyuYk1GIHqt9/OvS15k8Y1jHt9RFRZprYswgH92sb9m4Q\nESV58LcH4JRRnVDctL7rdZw+tjMAYGD7pu7XMaaz69e6deY491NjKNrETZbcsJSVlakFCxaEvRtE\nREREREREFDARWaiUskzywhEdRERERERERJQ1GOggIiIiIiIioqzBQAcRERERERERZQ0GOoiIiIiI\niIgoazDQQURERERERERZg4EOIiIiIiIiIsoaDHQQERERERERUdYQpVTY+2CbiGwC8G3Y+0FoAWBz\n2DtBKfH4RB+PUTTxuEQfj1H08RhFE49LtPH4RB+PUXR0VEq1tFooowIdFA0iskApVRb2fpAxHp/o\n4zGKJh6X6OMxij4eo2jicYk2Hp/o4zHKPJy6QkRERERERERZg4EOIiIiIiIiIsoaDHSQG/eEvQNk\niscn+niMoonHJfp4jKKPxyiaeFyijccn+niMMgxzdBARERERERFR1uCIDiIiIiIiIiLKGgx0EBER\nEREREVHWYKCjFhCR9iLypogsEZHFInK+9ngzEXlNRFZo/zfVHu8hIh+IyF4RucRqPSm2OVVElovI\nShGZrXv8fhFZJCJfiMgTItLIz/eeCSJ2fOaLyOfavx9E5Bk/33umCOkY/UtENorIVwmPz9ReWyki\ntb7MmYfHpp6IfKy1T4tF5A8m2zxJW+8KETlJ9/jLutf/Q0Ry/XzvmSAqx0dECnRt2+cisllE7vT7\n/WeCkI7RyyKyTUReSHj8HO28pESkhV/vORN4dVx068sVkc8SP/OEZdi22RSV48O2LbWQjhHbtihR\nSvFflv8D0AbAIO3nAgBfA+gF4FYAs7XHZwO4Rfu5FYADANwI4BKr9RhsLxfAKgCdAdQBsCi+HIBC\n3XK3x7dfm/9F6fgkLPckgBPD/nyi8C/oY6Q9PwbAIABfJTzeE0B3AG8BKAv7swn7n4fHRgA00n7O\nB/ARgGEG22sGYLX2f1Pt56bac4W6dT0J4NiwP5+w/0Xp+CQstxDAmLA/nyj8C/oYac9PBHAIgBcS\nHh8IoATAGgAtwv5ssuG46NZ3EYBHEj9z3fNs2zL0+CQsx7YtpGOkLcO2LUL/OKKjFlBKrVdKfar9\nvBPAUgDtABwG4EFtsQcBzNCW2aiU+gRAuc31JBoCYKVSarVSah+AR7VtQSm1AwBERADUB1Drs+FG\n6fjEiUghgAkAOKIDoRwjKKXeAfCTweNLlVLLvXhf2cDDY6OUUru0X/O1f0bt04EAXlNK/aSU2grg\nNQBTtXXs0JbJQyyIyPYtQscnTkS6IXZBOz/9d5j5QjhGUEq9DmCnweOfKaXWpPuesoFXxwUARKQY\nwHQA95lskm2bA1E6Prr1sG3TCeEYsW2LGAY6ahkRKUEsqvgRgCKl1HrtqR8BFLlcT6J2AL7X/b4W\nups5EXlA214PAHfZ3WZtEIXjo5kB4HXdxQ1pAjpG5EK6x0Yblvo5gI2IXVC6ad9e0V6/E8ATzt9F\n9orC8dEcC+AxpVStv1lLFNAxIoc8OO/cCeAyAJUmy7BtcykKx0fDti2FgI4RRQwDHbWIxPJhPAng\ngsQbWK1RtNUwmq3HDqXUbwC0RSyyeozT12erqBwfza8A/Nfla7NWxI4R6XhxbJRSFUqpAQCKAQwR\nkT5O90MpdSBiw2XrIjYqihCd46M5FmzfkkTsGJEm3eMiIgcD2KiUWpjOfrBtMxaV46Nh22YgYseI\nAsRARy0hIvmIfckfVko9pT28QUTaaM+3QSxS73g9WrKfeBKkMwCsA9Be97Ji7bEqSqkKxKZMHJne\nO8sOUTo+WpKkIQDmpv/OskfAx4gc8OrYxCmltgF4E8BUERmqOzaHwl77tgfAs0iYElZbRen4iEh/\nAHm8YK0p4GNENnl0XEYCOFRE1iB23TVBRP7Dti19UTo+bNuMBXyMKGIY6KgFtHwY9wNYqpS6XffU\ncwDiWbVPQuzk5Xg9SqnvlVIDtH//APAJgK4i0klE6iAWYX5OYkp16zoUwDJv3mXmisrx0a3qKMSS\nKO1J971lixCOEdnk4bFpKSJNtJ/rA5gMYJlS6iPdsXkOwCsApohIU4llap8C4BURaaS7cMpDbC4v\n27eIHB/dqjhaLUEIx4hs8Oq4KKUuV0oVK6VKEDvfv6GU+jXbtvRE5fjoVsW2LUEIx4iiRkUgIyr/\n+fsPwCjEhmV9AeBz7d80AM0BvA5gBYB5AJppy7dGbO7fDgDbtJ8LU60nxTanIZbdeBWAK7XHcgC8\nB+BLAF8BeBi6Kiy19V9Ujo/uubcATA37c4nSv5CO0X8BrEcsKdZaAKdojx+u/b4XwAYAr4T9+WTJ\nsekH4DNtPV8BuMZkm78FsFL79xvtsSLEgojx19+FWO9a6J8Rj0+N51YD6BH25xKlfyEdo/kANgHY\nrb3+QO3x87Tf9wP4AcB9YX8+mX5cEtY5DuYVI9i2Zdjx0T3Hti0ax4htW4T+ifbhExERERERERFl\nPE5dISIiIiIiIqKswUAHEREREREREWUNBjqIiIiIiIiIKGsw0EFEREREREREWYOBDiIiIiIiIiLK\nGgx0EBEREREREVHWYKCDiIiIiIiIiLIGAx1ERERERERElDUY6CAiIiIiIiKirMFABxERERERERFl\nDQY6iIiIiIiIiChrMNBBRERERERERFmDgQ4iIiIiIiIiyhoMdBAREVEVEXlLRLaKSN2Ex/8tIjf4\nuN1rRaRcRHaJyDYReV9Ehvu1PSIiIspeDHQQERERAEBESgCMBqAAHBrCLjymlGoEoCWAdwE8JSKS\nuJCI5AW+Z8n7kBv2PhAREZExBjqIiIgo7kQAHwL4N4CT4g+KyCwAxwO4TBtx8bz2+BoRuVREvhCR\nn0XkfhEpEpGXRGSniMwTkaZOd0IpVQ7gQQCtATQXkZNF5D0RuUNEtgC4Vtv+b0VkqTYC5RUR6ag9\nLtqyG0Vkh4h8KSJ9tOemicgSbf/Wicgl2uMni8i7+v0QESUipdrP/xaRv4vIiyLyM4DxIlJXRG4T\nke9EZIOI/ENE6jt9v0REROQtBjqIiIgo7kQAD2v/DhSRIgBQSt2jPXarUqqRUuoQ3WuOBDAZQDcA\nhwB4CcAViI3KyAFwntOd0KbNnAzge6XUZu3hoQBWAygCcKOIHKZt5whtW/MB/FdbdgqAMdo+NQZw\nNIAt2nP3AzhdKVUAoA+ANxzs2nEAbgRQgNiIkznaNgYAKAXQDsA1zt4tEREReY2BDiIiIoKIjALQ\nEcDjSqmFAFYhdmNv5S6l1Aal1DrEgg0fKaU+U0rtAfA0gIEOduNoEdkG4HsAgwEcrnvuB6XUXUqp\n/Uqp3QDOAHCzUmqpUmo/gJsADNBGdZQjFozoAUC0ZdZr6ykH0EtECpVSW5VSnzrYv2eVUu8ppSoB\n7AUwC8CFSqmflFI7tX041sH6iIiIyAcMdBAREREQm6ryqm4ExSPQTV8xsUH3826D3xs52IfHlVJN\nlFKtlFITtIBL3PcJy3YE8Gctcek2AD8BEADtlFJvALgbwF8BbBSRe0SkUHvdkQCmAfhWRN52mPBU\nvw8tATQAsFC3Dy9rjxMREVGIGOggIiKq5bS8EkcDGCsiP4rIjwAuBNBfRPpri6nQdtB4+98jNgWl\nie5ffaXU+wCglPqLUmowgF6ITS+5VHv8E6XUYQBaAXgGwOPa+n5GLHABABCR1hb7sBmxQE5v3fYb\na8lUiYiIKEQMdBAREdEMABWIBQUGaP96IjYV5URtmQ0AOoeyd8b+AeByEekNACLSWERmaj8fICJD\nRSQfsQDGHgCVIlJHRI4XkcZawtMdACq19S0C0FtEBohIPWgJT1PRpq/cC+AOEWmlbbediBzo/Vsl\nIiIiJxjoICIiopMAPKCU+k4p9WP8H2LTP47Xyrnej1hui20i8oybjWgVW0Z7scNKqacB3ALgURHZ\nAeArAAdpTxciFoTYCuBbxBKR/lF77gQAa7TXnIFYNRkopb4GcB2AeQBWIJZs1MrvAKwE8KG2vnkA\nuqf95oiIiCgtolTYI1GJiIiIiIiIiLzBER1ERERERERElDUY6CAiIiIiIiKirMFABxERERERERFl\nDQY6iIiIiIiIiChr5IW9A060aNFClZSUhL0bRERERERERBSwhQsXblZKtbRaLqMCHSUlJViwYEHY\nu0FEREREREREARORb+0sx6krRERERERERJQ1GOggIiIiIiIioqzBQAcRERERERERZQ0GOoiIiIiI\niIgoazDQQURERERERERZg4EOIiIiIiKiLLTtl32oqFRh7wZR4BjoIKLQrNu2G6s27Qp7N4iIiIiy\nzq69+zHgutdw49ylYe8KUeAY6CCi0Iyc8wYm/untsHeDiIiIKOvs2rMfADD3yx9cr+Oz77Zi5UZ2\nSlHmyQt7B4iodtr+S3nYu0BEREREJg7/2/sAgDVzpoe8J0TOcEQHEYXiyH+8H/YuEBERERFRFmKg\ng6SNsPkAACAASURBVIhCwWGQRERERP5RYBJSqr0Y6CAiX23ZtRcff/NT2LtBREREVCsJJOxdIAoc\nAx1E5KuZ//wAR//zg7B3g4iIiKhW2l9ZiY079oS9G0SBYqCDiHy1etPPYe8CERERUVa5+40VKJk9\nF7v3VaRcZs3mXwAAm3ftw5CbXseqTZw2TLUHAx1EFDizkzIRUVD2lFfgyYVroRTnsRNRZrnt1a8B\nAKs3pw5eFBXWrfH7S1+u93WfiKLEVqBDRM4Xka9EZLGIXKA9NlP7vVJEynTLThaRhSLypfb/hBTr\nvFZE1onI59q/ad68JSKKut89+UXYu0BEhFteXoaL/7cI76zYHPauEBHVsGvvfoy4+XV8sqY6z9mr\ni3/Eou+31ViuWcM6Kddx3QtLavzer7iJo33YU86OKcpcloEOEekD4DQAQwD0B3CwiJQC+ArAEQDe\nSXjJZgCHKKX6AjgJwEMmq79DKTVA+/eimzdARJlB32O6dP2OEPeEiChm4469AICde8pD3hMiopq+\nWrcdP2zfgz++srzqsVkPLcRhf30PANCqIDZawyzR6FvLN9X4XRzmJJ34p7edvYAoQuyM6OgJ4COl\n1C9Kqf0A3gZwhFJqqVJqeeLCSqnPlFI/aL8uBlBfROomLkdEmW34za9j0u32T4AcGU5EXlBK4bC/\nvoeD75qPbb/sC3t3iIh8YXbdtGrTLmzcGQvUOg1eOLFu227/Vk7kMzuBjq8AjBaR5iLSAMA0AO1t\nrv9IAJ8qpfameP4cEflCRP4lIk2NFhCRWSKyQEQWbNq0yWgRIgrB+u17sHKj/aRWXsU5Vm7chS27\nUjUpRJTtXv4qNnT7q3U7cP+736S1rp9+jgVKyisqvdg1IiLPKO3KySiOcd/86rbPSUcSy8xSbWIZ\n6FBKLQVwC4BXAbwM4HMAlhO2RKS39rrTUyzydwBdAAwAsB7An1Js/x6lVJlSqqxly5ZWmyWqdRb/\nsB3zV0Q/CFipOxP/kkYy0km3v43xt73lwR4RUSbauWd/1c/pXrJv1oKm5fs55IyIIkZrlqxGbMxb\nuiGtzazYsBP/fi+9oDFRFNlKRqqUul8pNVgpNQbAVgBfmy0vIsUAngZwolJqVYp1blBKVSilKgHc\ni1gOECJyaPpf3sUJ938c9m5Y0vc4pFvhYIfuRoeIapdurQs8X1e9OrmerZOIyAvH3fcRAOtRGFc9\n85XtdRoFTQ688x1c+/yS5CeIMpzdqiuttP87IJaA9BGTZZsAmAtgtlLqPZPl2uh+PRyxKTJElKWU\nbvJKw7p5Ie4JEWWNNCencxA3EUXdnv3Jo2C/XLfNYElrRv1MlTb7nh7+6FtX2yQKi61AB4AnRWQJ\ngOcBnK2U2iYih4vIWgDDAcwVkVe0Zc8BUArgGl3p2Hig5D5dKdpbtRK0XwAYD+BCz94VEUWO/uS6\nwkFuDyIiIqJMV1mpcMMLS/Dtlp8dve6z75KDGl+tC7563ZVPs0+aMoutblWl1GiDx55GbHpK4uM3\nALghxXpO1f18gv3dJKJswZrsRLXH5l170aJRMIXXHv34Owzr3BwlLRoGsj0iorhXF/+IWQ8txJCS\nZnj8jOGGy3y9cSfue/cbvL9qC148P+nWKqUB7Zt4tZumg+B27ClHYb18z7ZFFDa7IzqIiNISH9Fx\n3/zVSc+t387yZUTZ5pXFP6Lshnn4YNUWT9erz/EjusdmP/UlDv9byhmzttdJROTU1c/GRjt8vOan\nqsfeXL4RJbPnYuPOPQCACm2OiJ3W5n8Lvq/6uVFA031z/KxTSxQCBjqIKBDxqitbtHKOesNvfgNz\nv1iPn/cyyShRtvj4m9gF/1frtvu2jfgNQ3yO+dZfyh29XnhhT0Qe2FOeXKL6wffXAKhuA53EUy99\n4gsvdssRtoaUbRjoIMoSew2SVQXlm80/W/aIKgD7KyrxwHtrDJ8/+5FPceXTX3q/c0QUinhw0+tY\nglFLU5nmiIx0Sl4TEe2vSA50xNuVxICq0yZxl81OIKUU/vXuN7aXT3q9q1cRRRcDHURZYtB1rwW2\nrU90QzM/WfMTxt/2Fh75+DvT1yilqkqlpfLD9j2e7B8RhS8ee/Bz1ET11BV3r9+t3YjUz2d5WSJy\nL7Ga3Prtu6tGtQU1Ne7N5Rtx3QtLcONcd6ViOYWPsg0DHURZ4ucAeyRn/uODqp9XaRVUFn1vXupM\noXooeyoff/MTvtvyS9r7R0TR4edwaFX1v7sL9AZ1GOAgIu+9vXxT1c8igiU/7KjKu+E09mu3nYqP\nINm+O/UUPrNNM8xB2YaBDiLyhGinz3+/9w3mfrE+6Xm7HQXzlm6wtZxSCj9sYxJTokyxZvPP2GqQ\no8cL6XZEbtq515sdISIC8OHqmkmYp/1lPh784FtX67IbGKkaRecyvMwBHZRtGOggIk/Ee1SvfX4J\nzn7k0+TnPT6D/vfj7zFizhv43GIkCRFFw7jb3sLYP77p6TrTnboSd+OLS7F7XwUu+d8iPPPZurT3\ni4hqr3XbduOZz39I+bxfs/nizeDcL9dj4w7jqcC7y01G/zLQQVmGgQ6iDPXW8o0oN0h+5ZXvtvxS\nlTHcC/GyalbsXgDcMe9rAMCMv75nmASMiKJnx570KysZBTWW/bgj7fWWV1biiYVrccFjn6e9Livr\ntu3Gv979xvftEFHw/vTK8poPBBRA0Hcovbtys+EyZiVkf9jOUbKUXRjoIMpA76/ajJMf+AR/nrfC\nt2386t4P8fvnFrvO3p1o/G1v2Vruvvnf2Br9oR9qbtpDQUSh+reHAdNUDv/b+65ep29pgiytePK/\nPsZ1LyxJ2etKRJnrKYtRYWZTS25/7WuUzJ7rarv66lOpLqMSk6bqHfTn+a62SxRVDHQQpWnVpl0o\nmT030CkUa7fu1v73L3Hnjj2xZFZmSa0A4GOtAovVnFC7Pbnrtu1Gp8tfNHwuVQAkP5dNGVFUfffT\nL/hm88++rPvPr6+oaqvi3G5L37p4FeA1UlmpsEJL4syR4kSZr6JSYaNJnp/EZMlmI1f/8rr7Dqzy\nCusWxcciWESRw7sDojS9uWwjAODZz4Ob171fO5mZzQFNV3x448g5b5gu99SnsfcdxMnT7vQXJ8or\nKrHGp5swIop56tO1Hq6tZjuQWKnp+hfslVYsr6jE84uq21ClmwF3rkGeISfueWcVvlq33fC5e+ev\nrvrZrNn8vw/WYMEa80pVRBS+ix43n+62Y3d6gdN4R9I5Ju3Ssfd8gDq6Tp/KFB1DTDhKtQkDHUSa\nVxf/iJe+TK4WYkW0O/xKH27CU8nL8TeqsHHHHsuRHFZ+3O79kOxUvRXpnLh//9xijLvtLWzexaoL\nRH65642VHq6tZvt3x2tf1/j9jWUbscfGdLbXltSs8PTB6uo57UvWp5fz46YXl+Hgu941fG71Jl1g\n1aQpv+bZxTjqHx/gsU++S2tfiMg/n6z5Cc9adDot+LZmwDLV1/5xrfxsKi8YVLSL+3B1zW3sT3FN\nes2zX5luw28VlQr3zV9tq40mShcDHUSaWQ8txJkPO+/FiyfC3LU3exrt2xNuHPTut5lAb9jNr+ON\nZfZKxdpVXmmcdDRxWKgT72kJu3Z6kCSRiIL3ujaqTu/Wl5cbLFnT7n012+wz/lPd/m/Ysde34LW+\nHdNP+du3vxL3vrM6qerLHxMTGxJRZNgZETq+e6sav8dbli/Xbsdby6vbr8ue+MLw9W6ucermGd/i\nLftxp+N1eWXf/kp0ueJF3DB3aVKAmsgPDHQQGVj+405MvfOdpLnfRuL5IQrqpU7wFJSvN7g7gVVU\nKtvR9VSVWIymrvz9rVWu9ieV738yzknidkSHUgrfasPeUw3zJKqNnli4FiWz52KLi5FOSincOHcJ\nFq31K2+R9Xe1qLCu5TL5KW4E4vRTTLyUagreXW+swI0vLsUFj32esIxx/295RSUWsbw2UajsXDok\nLhO/3jjk7ndx8gOfVD3eq02h6204YSfhux9+2FZd1cWLClxEVhjoIDJwx2tfY9mPO/HeCuPyXGH7\nLsUNv9256YnOenghelz9ctXvZvk2ch1Mm/lkzVZX+5PK9L8YDwV3e8p+YmF13gC/pwMRZZKHPlgD\nIHVbY2Z/pcK987/BZ9/5cxO+t9y6nPS+/dbLWF3sxxOGOvXkQvN8JPt1U/D0+7BeN93Pzo3IzS8u\nw2F/fQ8rXAa4iSh9ebnOrx0qUjRPdVIEX/faaM8A1CiNbXYdF+BMa6JQMdBBZCCdqRBBaFlg3Fs5\n32Vg5pXFsSkmH39jnfgudUWD8AIFbnsn9D3OHNBBVK1C+0I4CWzG+f1dOu6+jyyX+dNrX2Prz/v8\n3ZEULv7fItPny3V3Oak+qpWbrIMs8WSnW0J6n0RkLxH7jS8urfF7qmlxqda18NutWPyDcXLjVN75\nejMeeM94qnH8mmnzrr047O6aHUhWFaesArlmrJK2EnnNVqBDRM4Xka9EZLGIXKA9NlP7vVJEyhKW\nv1xEVorIchE5MMU6O4nIR9pyj4lInfTfDlHw7F7T79hTjl/2VZ9ANu7Y42rY8b79lfj9c4sdv86O\no//5gfZT8tm2olKZBhTCLFnmtndieYhzVYmiLH4vnuPiix2VQPHqze5GZHjJKMF1zZEbMPx56p3z\nq35OmSiZg9CIsHLjLrwb4ujbLbusA42JHUQVLqLBX651Fuh4+rN1+MPzS1AvP/lWL771/y1Yi0UJ\n6+3z+1dM13vx/xbh72+twmF/fc/R/gDAp7pRfjvSTHifyoYde3D1M19V5c+j2s0y0CEifQCcBmAI\ngP4ADhaRUgBfATgCwDsJy/cCcCyA3gCmAvibiOQarPoWAHcopUoBbAVwShrvgygtG3emXyHE6n6g\n37WvYsytb1b9PuXOd1ydKKyi7Xv3V2D99t2Yt8RdItBlP+5IOgG9tmQDulzxIm57NbykeKajNlze\nV+mn1kTj1owoGuI9jm6GZXs1omP77nKUzJ7rOtfPzxYJoq32001+kkSPfJxcMeVLXdlZO0GhFo1S\n5Btho0WESbe/jV/fbz3Kyw+79u7HDXOXWi+YIMgqfXvKK9Gobs0ccq8v3YgPV29J+ZqS2XOTkiLH\njenWEre8vCzt/EBNGuSn9fpULn/qSzz04beYvzKaU88pWHZGdPQE8JFS6hel1H4AbwM4Qim1VCll\ndNdzGIBHlVJ7lVLfAFiJWJCkisTqcU4A8IT20IMAZrh9E0TpmvSnt12/1sm0ic26yP+2X9xFs61u\nO7pf9TKG3/wGTv2/Ba7Wf+L9Hydl6z5NW9fDH6Uuc+h35+I5//0s5XNe9CCHlZyLKCw79pTjxH99\nbFgKumrqio0RHXvKK3DTi0urqph49VVarAUEbnl5mavXu5l2o/fm8k1YZWMKSTr7YOezSnUI4tVb\nOLCDKBw7bSSsN+JmREc6zWpiB9kZ/1mIY+/5EBUpKtkBNfN96Onbm4073HcSrtliXa3GjapEzryk\nI9gLdHwFYLSINBeRBgCmAWhvsnw7APpC0Gu1x/SaA9imBU5SLQMAEJFZIrJARBZs2rTJxu4SOafP\n/vx7lzXGH3hvDUpmz/Vql1Lye4rIxp17Ub+O0SCscPNYzDWpH+/FfvGcSLXNM5+twztfb0oq87d3\nfwVWaok4rToee179Mnpc/TLueWc1HvvkO+015i9KneenpubaSIbSVo1sLZ/IMshg41vvNBnrOl1V\nASA5yfH2hAC3qvFzinn7KbYVT/a61WXQnIjS8+Yyd/cl+oTEekEnCV26PvX03f7FjQ0f10+lG3LT\n6663/d7K1CNK0hG/Ro7KFEoKl2WgQym1FLFpJq8CeBnA5wDs1aH0gFLqHqVUmVKqrGXLlkFtlmqx\nBz/41pP1lFdU4p53VtnK/g8AP+/dj/vmr8YNLyzByDlveLIPZrbs2ouS2XPxpq6Ge5Q4GWHB0xmR\nc/Ger/KEucx3v7Gy6ud3vja/kN+tK0u9T1uP1fdx/G1v2dq/+IWq24EZj5iMQANsBkgdNi6Jbffq\nhKDOBwnDxe209Rt3Jk+h0U+3bNaQKc6IwnDF01+6el1iQDQeWDa77vGjo6lXW+NytgBS9qot/mGH\nJ9s+bmgHT9aTKL7XHKRLgM1kpEqp+5VSg5VSYxDLp/G1yeLrUHPER7H2mN4WAE1EJM9kGaLQWY2e\nUErhLt1Ngd7/ffAtbnpxGf6VIut1optfWoob5i7Ffe9+k3QS1HMS8Tc7ab6rzV88++FPk55L9b7N\n1mc2rcUNu+XUAE47oczx3ZZfUDJ7btrzm70Q75mrm5CsTj8iY5/DhG7bd5djs8GNeTrE5eSM5xb9\nkPa2nfQKVhg0zqs31Qx0eDUi74JH7ZWRtMMq7xMReSuxct6k22PTp43akLigRygs+n6b4bRGr9TP\nNx45nC7RGkReFhJgv+pKK+3/DoglIH3EZPHnABwrInVFpBOArgA+1i+gYnclbwI4SnvoJADPOtt1\novCt3bob2xMSd8ZPVPG5m7/YvIh852t7iZOshoXXXDb1c4X1Yomg+rQ1Hp5oxGrL97zjLmmgkV7X\nvIx/vr3K1jB3L85nPClSEO6YF+snmFlV4Sh9d7+xAlc/42zK3Z7yCvz1Tevva5eWzqaNlN3wGsbZ\nHLFhZu/+CpTv9/dL6fV3PtWcdtsc7M+UXkVVP7uNc2z9eR9KZs9Fn9+/gq83sAJVOpRSNaqqkT+e\nX/QDHvpgTdi7kbZUnTOpprQANUfaecUqSPrM5/71Qfs1C5s5i0jPVqADwJMisgTA8wDOVkptE5HD\nRWQtgOEA5orIKwCglFoM4HEASxCb6nK2UqoCAETkRRFpq63zdwAuEpGViOXsuN+zd0UUEKNzVfwE\nVvWcxZkkPmzcboZ/JxfnpiMdtN0yyseRqgfV6gSyYoN35RwrFXDzS8vwq3s+tFzWmxsWRjrIf12L\nYoGDso5NPVvnba9+jYc+/BZLHAwptjtSI7HnUS9xykvsMW++R92vehmH3P0ugHBLVzvxfJojSFJ9\ncka5RnJz7V6+pfbqkh+rfl663pvh6LXVwx99h17XvIL/LfjeemFy7dz/foarn12c8vk95RUZMcIz\nVTL6bbtTl6pd7+PoilTeXp55uRHNRkRT7WN36spopVQvpVR/pdTr2mNPK6WKlVJ1lVJFSqkDdcvf\nqJTqopTqrpR6Sff4NKXUD9rPq5VSQ5RSpUqpmUopb8e6EqXB7nnSaChh/JH41Iu/vL6iqhqBka5X\nxr4iE3sWpVxGz0kj7jax1UMfGucp0Sdt9XJ7Zvbst04J5GRI533zV+OmF5PLwe0pZ8118l98JFXH\n5g09Wd+976yu+nnaX+bbft13W/RJNlNHEsyCDHbzD3nJ6U1MRaXCoOtfwxML1yavy6udcsBNzMbw\nNbrPwW0gSB/QdjJSkJK9sjgWNLr0iS9C3pPa4VGDss279u5Hj6tfxh3zVoSwR87sT3GxtGFHtG6F\nzALd6Xr0k+89D0ot+n4blv0YG53GFo0A+yM6iALz9teb8G+beS2iKN5u6xvwL9Zaz8e32yh/aWNd\ncWYXr350kvrRk7Ltl3Is/HarxYbtr++GuUtxzzursXZrzWoKebkZ0m1MpKmsVLjRIGhnx8F3vZv2\n9t2USLTy+ILvMeLm1Jn8nW5y7/4K/PTzPsOpPV62V3bLTIpJVMJ9AmZ3bZc+QGxSZZIcyoQRBZlu\n9lOxJKD6UVTxUbEPZPD1Y8fmDQLd3q0vLzd9vn2z+r5te9fe/Xh/lbeVV5b9WD0yjd9DAhjooAg6\n6V8f49rnl4S6D68u2fD/7J11nNTG+8c/s+d3cPjhcLgUdy0uhRpV6i7fUlcoFdrSQr2/ulF3py0U\nt+Lu7q6FQ093fn/sZjeZnSQzkZW7fb9eLXvZbJLNJpNnHvk8lj+rGI/JicHbS2QSLTooG6Vt6vHH\nin04qWOIO9nL3K2ooDpqzd+v9u/jZ/JNnSOsSGD8mRgnHCjz3O8X7+aWfsjw+lRjI1WUQydzMWXd\nQe57RiMXZQ7fiXvo8V9WYz+Toq12DsjuQsla4GV9mWWoqT9vxutT9DXax6/ch+s+NS/BW703h7uc\n953V59qJ0p4ZUdp9KxYRuQ8e/XkVsodPwIGceJq9HZ4ZH+rALJ2SyFkz+th+JLTU16wltlWyLGZm\n5Lmc6WqU7WyFJFVJX9ykC3IytwDXfLwQeyTbpRcH4o6OOHEMkX/oKEaOugY+0WN8q1FK8ffqA9L7\nMsNLKdbuy8GDP65Ei1FTMH9rqODprmPODXwOledztmu8YXYSc80nC3H5B/MNP8MaGXFHR5xw8/PS\n0HIKGaZvkJ+crtmbg+zhEzTLZmw8jDu/XoZNB+UEKdn7csw/G6U+n1dYFJIJYWbny0bplIkk6wzN\nL/Tihb+dc6gv3fUfd3mih+CBH1Zi3lZf5NLo+NlWtApFXorTeYV4bfIm3P7l0pDteBzwdExYfcDx\nSUdJQu00E7lClVIqK/dwnCC8EpCEGMnO7P36bM3fq/eeCAnAOIU68BZNmJjGUqzbn4MflsQ1cnhM\nWnsQC7Yfw1sxUNblNNF55ceJE8N0fMmXdp2s8iz/uyUo6DSLEzmbvC40gyR7+AR0GTNdWKSUh5cC\nu1Ue3Gs/XeRqW0u3MjrMNsu+r9Roeg1EQxpWKa3dRtz/HyfMhDtNGUBA4JPHgLfmhCwb8r6+w9Du\n/X7Ju/PQfNQUAMCktQeQc7aAO2lXL5HdozKZYLdqN5tGlB4NK2n+tnrGXv5nI96duRXTNhwK2Y5T\n0zo3SpFKCpmpwSwCGWdcZlqSG4cTNvafOBfR9sTqZ7zVNtQs2cMn4FlOpojbXPGBc524nMLJMYF3\nXxiV8sky+O25WLwj6HCOD2dBEv0RhKISWKMYd3TEiVm8XspN/Sss8gq1JHUC3oOVbTcL+LoiKNz8\n+ZKQ9/XKSvbn5KLt6GmWRf+OnsrDaSY9+9gZn+PEyQdMAJceLGYdAfR2qyf4BYT+dvGHYpw4cth1\ndCgOyf0nzuHub5bj3u+Xm2YnWN0lu1mnJ2e6napUi0f+vsby9s8YtC695L15lrerJjbi4NGPiCh3\nvUo+MeI6DokSR4ouY2fgEgPnqduc4WQh5TAdTdbvP4n/zuh3M+Hx5QK+ILubdGtQ0bVtEwJMfvB8\n6c9NXusraUzndOeThXdfuDvmxI06hUR/4NXIJi6uxB0dcWKWd2ZsRe/XZ2PrYW269atTNqHXa7PC\nUot28+eLdd/be1y89tbMuH9rmn79txE9X5uFx3/VqsC7GcgscmkQNes0oxdBM0rFjpWWlXGKD0Ve\nipG/hz9SKItoZNQp56DiyN117CzX8lXfq1Yzr5yK9lrZs8K3i3ZbPmfsM8KJc89uo+SZwM6RpwpG\niFyjqUm+iWNxeA5tU5VbHD6Vi62HnWszb4WTuYUBzaE9/53FoLf/xUUOiC+7TeuaZV3bttXxT9FL\nGjGoie1jCLc4aDx4FSSY0VHyTkrc0REnavlxSWj7MDWLd/pqntne4gv9Ks7HJD34VtCrqT52Og+/\nr9gnvJ08kxaqTrYcU1LX2EwPJ9gVIaEj9QNNXfPf8vkplrYRJ44bmN3nTrDLprjwsdN5eHfmVqF1\nnTKaFAG+w6dyue9rHB0O3adO6Fqo0ducUmoShP8FDp/kf3eFzYe0Dn0nTsOWw6xOUXwQtEo8Zd5H\np5emo+8bs81XdIEflwZtRqWbR/dXZgLwBUv+980ynDhrbBfO3nzE8P1YhRB75bmJkiKpL0/aGCJw\nzdt7gVvCbhb5e/V+Tal5cUF53sUzOuLEiSKe+NU4zffIKd/knzUqcl1WiRbhBKd8xQizKO+6/Xw1\nfisoA116iv1URBazEpNw8OyfYl1phn6s7YLglr5InDjhpMers2x9vu3oaabreL0UuQVFthwdPK2i\n8unJrqUVsI4Il5obmKJ3yhbt4IuZKrAdWZxwSoybq23DWQJtYFcoyY8SJ66hUX+uCxFMFuG9mdsC\nr3n3xz9rD+Ijkw5uN32mn6XrNm5n99i5LmXHyw9mbcOdXy/TLOPZWG6KpFr5uvd+twI3jIvcNeAW\nxSFzzCpxR0ecmEXpFpJboI2SbvJHviKpIP/OdGNlY1kjtXn1MnYOR8N+fxmIrIc+mlHX38rW4io4\nVeceJ064iMSEKudcAeo+ORGNn55kyzn456r9gdeKEUYI4UYdj50O3tNOfWerGkVHTuXhiV9WY9Ja\nbZcs0a09wZQSAsDy3catsAFgaPuagnuwQQmeoNuBLdWIC1vzW6eK8sX8nbb3r3d/641ZR07lYelO\nY2ej23zloi4Igb2x0wlNN7tj98Ltx/CeYLYhAJyUDDjGKZ7EHR1xYpa2tcsBADKYnukNskr5l9vP\nWLCqjfHHyv2G77v5QDNjWjFsZ6d2UpTkaFqc6Mbpa1Ov1EPh4R9X4sEfVtjej9ox+8QvwYm6neit\nulvC3C2hba/VqMsTzfR69DibX4T6T07EwRzjc8biYRzCj/y8Cj8u3YO7v1lu6ThOcUoGLzPobKOQ\noDqOT//dLuVkopTi/VlbA1mQesSz2qwxnSlPEjmNxfFUq0XT2dap4UZvXq533tu/OA1XfKjterL9\nyGm88Pf6sJV0HTa5P+2g50QWxWqpn7okjye6L7PVoR8vxKuTNwlnEg7/zbr4c5ziQ9zRESdm0Xv2\npCT5LmsnxOc2HjwVkjECAJ/P24HbvwztniLK+JXi+h1Oo9QSF0dDy4gJqw9YSoeNE8cpnJ5IHj9r\nHLH6bcU+U6erCOrDVjtX7Hwf9XGpDVKzmm079f+FXsotmTFCcagrnNXr1uJybvCyXcGsj9ETNuDk\nOXGNpXX7T+KVSZtw19dLDddr/cJUy8dXkklh0u9LisOIzdqwqw/kJHr2H89poecwvuOrpRg3d4eu\nFlu0kC3Qptzu6GQ1AVhdBtLhxekh7yvDJqUUn/67HYdMtIoAoN6TE4X373Zm92uTN+H3FXtdXGjI\nBQAAIABJREFU3YddvF6Ku5gyopJE3NERJ44JPO/xc3+tt5UZEa+F9tG1fgXHt6l3aod9Zy0CG0ec\nVXtOYOKaA+YrllCcvu3rVhJrTSliPBqhN3GzE+ns17Sy5c/aoch/zKLHztr3DauUdviI/PsxmUgo\nrXgBoHJmCjLTtJmMRt9nk/+zy3efwNcLdlo9xDg6sGd+8jpWgDa2OHE2H4UC7dnYrI1znKCQKO/P\n2orVe08YrqPOGBHh8V9WhSzjlWDc/z0/601ZN9o7tlzToZbpOidzC21qdFjt2iKWgbftyBmMnrAB\nw7511k47biI+a5d3Z27FQz+GXmfRRIE38rqFkSTu6IgTxwQ3fBKy23TjGNx+AIiQ4HF+CJpTTFXT\nY4FL3puHexw2VKKBN6ZudiRqQx22N7YfEYs0dnwpNJImg9oxe0KVRWKnVXVppuTQt233xySvl+Jc\nfhHOCkb6WPu+nSrDQ3EuHD+Tj1V7jCdpTtK0amZIxFpvErP18Gk88nPQEH96/DpuCrnCB7O2RVyr\nINZ59Gfxic9b0zY7/sxaszcHa/dZEzAvKPKi1fNTMUKVZfX5vB349F9jEU9ZNh86hTu/WhpwXrwy\naRMuftdYJ+uWL8RFIgkBfloaOmbzputn8vhjQYL/5tcbK7xRErG68/y6puscPW2vLMbIz9H79Vm6\n75k5SJRx7Nflvt8qx2FdjfRk50X348QWcUdHnJjHbUlNV+ozHd5mtTKp0p954IeVjh6DFZITwjcE\ntWNS0EsSJ3MLosYoi0Xenr7FkaiNTEr7zqNnsPe4c+2ae74607JQr7q2u0x6UuC1na4rvE+eMXA+\nHD+TLyTaaUaRl6LJM5MCbSfNYB0KasNd+fpfLwyv5hLv3On9ErxSnyKD8qCXJ20M0SqIYwzvtmYd\no7M2HcbuY8H7WfnItA2HcaPDnT4uencuLrSYhaCMUT8vCx7/c3+tx+gJGzTrsa1DD+ScCzkP2cMn\n4DOms4/CE7+uxpT1h7Bmn7iDcN7WY8LrmtmFR07lBRyrCTp1GZuYls4s3y7ebfi+E/zf0FZ49YoW\nuu/PfaKXkFDo93d0cq1c2cjh7iG+MVcva0bhg1m+jjlOVwCWkCoyQ0r6OYg7OuLEMYEdI3iaHbI4\nPef8+MZ2zm5QAF5EVpaXhjRz4Ei0dK7LL4dJsuhUySsscuQ3jxSn8wrRYtQUjJ20MWz7jOWIcGGR\nFw//uDKkk4ITsI4OI5uu52uz0O3lmQEDkMWoHj57+IQQJ8nOY2e5HT9EUB+2+pjtaBHIOpA/n7dD\nSLTTjE2H5H5XNulMbYgrjp5wG5K8/cmczyIHDji/0BvT46LbLNgWnJRPW38IN3++BOe/GnSuhUPg\ncvuR01gh6Rw008hRYFuH3jBuMdfZFs7njhrdCbN/efsXp6HV81NRWOTVdXSYsfc/5xzRerStXS5E\nJ0hNjXLm+hwA0KpmWVtipFa7rhBCsPPYGU2XLTW/r9Dq1TmhraeG/cancgssZzvFKnFHR5yIsWrP\nCXy7KHLdN4ora/edlFr/lEEaLxA6SDz0o/1MiDWSA+3ktQcN32/mYPtZUeway42rlEZWpnwmihl6\nRovVh3yjpyah8dOT7BxSRFGiVr8tD58AbixHhNftP4nfVuxz5D5nYa9AkSvyZc5EYc9/Z9Hj1VmG\nn3tvZqiDZOp6a9oByq3u9VIs3x2MwNpydFj+pD22HjaO0rKwqdfajA7nvoWMgU8ROpGTORIvpbad\nFH3emCU8Lp7NLzTtEBTL8M69l/o6FG09fBq3f2UsAgvAlclX79dnY4ikc9BqltbxM/n4cUlohkN+\node1sq4cAzFmvYk5e58N+265ZafT3uNi+hO3dq0jve0Mf8mFhxDud1k4og8Wj+wjvD2XtZJ1yTln\nnE366/K9mvPvfEYH1by+5pOFuPCdubayEWMJ1iFdEp0eQo4OQsgDhJC1hJB1hJAH/cvKE0KmEkK2\n+P8t51/+GCFkpf+/tYSQIkJIec42vyCE7FCt28rZrxbdTFp7AJe8Nw8jf18b6UOJWXgT1/dniffY\nVrj3O+OUOvYh+I+J08ENTuUVInv4hLC1ORPB7oPig+vbOnQkWuxELSilyB4+AW9MtdZWOJo5o9ct\nIg4AYN3+HNf1XYwmxpsOnsIPgqnQ6g4cenzvYFq1cty/LNem44tGf3kURsjQXLJTLsLNOjp4hvi8\nrcbtcZ2GUop8RiCFd2npOfG9Xth23u75T2yS99+ZfDR9ZjK340Jxgde2d9PBU/hx6R7cZ5Kyr2C1\n1MRprHbXIAT4fvEe7nu8lsrKbtj7kc0GnLf1qG7J3Zh/NnCXq7fPUsDcN5PXHdI4b2WYwBHebswR\nK7ZikyhtrT2E7wKtUiYVWaXFA0WJHmLLZjO7LPYeP8t1aFTISDYd6zUZgw57OtR77v7KzEAglGdL\nR5N9zeP4mXzTVuwsPV+dqemmNW3DoRJXxmzq6CCENANwB4AOAFoCuJAQUh/AcADTKaUNAEz3/w1K\n6auU0laU0lYARgCYTSnVy2N+TFmXUhp5wYAwcvc3QcG+giIvmj07Gb/5jcjflu/FU3/E+z8DEFL+\n3qpqcaaezIkqDc82mdywY19SQoRc40CIcQsAPRtVisCR2Hd01CiXBiCy55NF+U7vztgS4SNxDuX6\nLZ+RHNkDiXIGvz0XN362GAdyfJHnNftyUFjkxYez+aUjVmDHEvWVP+CtOZo2q0bYFZaTRXF07GMi\nmCLjsx7q1H4RVnCiwm9d7X58hJ34qR0flAL7TpzD4giUarH6RrzJVPNRU7ifdaJ0RZRnxhf/YM4v\ny0In+Mo9E0YZKkdo/bxxi2FKKfaf4Dm59J/j6w/oZ6uM/WejZoL55O/BMTC/0IvrPl2ENi9MxcaD\noZm6Rl1YeLYSAKQmufuD8Cbq9rqdOJPlQAhBuXTrNoCZUHS3l2fiozk+wdoHfgg69wgxtxVbPBcc\npzYcOIktHG2U41b1pfy7nrvlqCYDhzcG/rU6ujvGtX5hKq4ft0gqG29/Tmgm3aR14Q/WRhKRO74J\ngEWU0rOU0kIAswFcBuASAF/61/kSwKWcz14D4HsnDrQ4cyavEKfzCvHcX+sx4rc1ePinVfhmofsi\nR9GIleyJZ8avC7wunRoUyku0GppgOJVbqImMOV1DKEMhE0HdOXYwvrilQ0SOxa6xrGhmrHymvxOH\n4wjKN4pWh/djP69yvP1aHC13fxOsPf9m4S6M/ce5GnP2lpm24bAlIUsnRDllUO6H1CStgr2dMUBW\nGPVfTiTL7UkLEDpxUT9WKCi6jp3h+jGwUBqaaSLzU+TZLFuRuf7MWoIWeWnMp5HfwilNWLffNzFP\niFTNgEXMou/j5u5AF841b+R8bVo1tLSWMA5D3mt19sXLvHHY4NRa1eSyi/qQZj/WE4tH9kFeoY37\njThjc3oIkF0xA70bZ1n6/LmCIvx4ZyfDdZbt8jl8x68M6nEQENNr6jSTbTrqr3Uh6zyoU0q6YNsx\n3DBuke4YojiAx6/Ulu4WFoWOOzuPGncxe2Pq5rB219JDdEj5ZRm/U5yt6zEGERkJ1gLoTgipQAhJ\nBzAIQE0AlSmlivvrIIDK6g/51x0I4FeDbb9ICFlNCHmTEJLCW4EQcichZCkhZOmRI8WzbaQyiOWc\nK3A03TgWYccqNs1QBtG+37XKG4s5nf/qzEBk7Fx+kW6kIBz8qkodb1OrrOXtOJGi51RQMMMBUVM1\ndowC9Xf6Y0X4NC1E+XnZXm66bBx3OG5QA24FtnTls3k78PQf8hHviWsiE5FhswYiPUFlx6BH+jV0\nfZ96EzT72xVfl4Jy1/964S7sMDHWAfFnY2GRF8c4E1gZUdjdJoKNrZ+fgk5jYrusxUjMctVebTbD\nou1ymUzRxncWbFQ2a3P8yn2a8ju920gd2OFlShhFtvXS890OVA1uURXTH+mB969rg9oVMpBVOlWT\nfdWocmhpCw/lKH0aHfaPSzl/LWpY03Mrm5aMjjpC7wrJifwpZZFgdrVCu9ohage6mdf3fb8c/245\nimNndBxt1FfC9zMz6T/v2cmo9+REzTKz0/z29C245L15uOOrpREp/1CuA95zp7DIi+8X7w48k/ed\nOKfb5nrDATmdqljH1NFBKd0A4GUAUwBMArASQBGzDkXoWHURgHkGZSsjADQG0B5AeQBP6Oz/Y0pp\nO0ppu0qVIpOi7zYtn+enlyrM3HQYk0tIqhHraaTUl3L2yZxgD/fdx87idF6hpq5SmbhbeR7I1E++\nNFG/JjQcqLNXBjWvank7UV6KaAu933PhdvP0cvVEdGIxcSgoXynGAotRgZNik25sL1wo4yt7+DK2\nXq9GlTDigsYOHlUo13as5er2AaZ0xfW98aE09FlX5KV4+o+1GPL+PNPPi4oFj/x9LdqOniYdAbzu\n04UBbYqNB42N6pO5hRqNiy2HTuH1KZtsOeMXbj+G1s9PMRUad4qv5u8UXvenpfwoKw9KKYZ9txwL\nXXCO7D52luvEMmLr4VOGrUT18DCOILa1vd5vXWgyQTZ6W+/qcfs5eE/PeqhXqZSuffbalS2ltsdz\nSr5i0G7WDKu3VVKi+YlLTvCE/Ja+0hW5fcn9Rsrsn/+ul5pnlckydf0h/BaBQJhyanm/4ZcLdmHE\nb2sCDS5u+2KJ7nZWRkFWSjgRyu2ilI6jlLallJ4P4DiAzQAOEUKqAoD/38PMx4bCoGyFUnqA+sgD\n8Dl8GiBxONzy+RLcxbTyEuXwyVzLtW2R4LFftO0PH/l5Fa4ftwgvTtyAX/0e2fNfnYmrPlygGbwU\ng9vKGC7jbI4m5Xg7ok1OTLiMWp5FisIiL+Zt5RuF1cqYC3epz4vIOfJ6Kfq8Pgt/6bROiybijg55\nnHZMsKVnsYLeaZCJanWsWwF39ajn0BHxcULI7sG+DYz3oXodKfE6SkO/66C3/wUAnBDIQhLVeFGy\nx/IkJwrzth6zPCYOevtfvDNjq61sqjembsbxswWB8hEZPv13u1RpzqGTudw6eD2UrEzepcOmzp8r\nKMKE1Qcw9OOFphoJsgx4aw5u+9K8G4yayeusdW0yuyvVp0KdMavOGONtI9fAAad3a7r5GLynZz2+\nRofqdYpkuR1PoyMj2XoWrNURSyQTJjnRg3uY0loCc4cVj30nzmk6ZDWpmql5f9mu48gePiEwlnV4\niZ8VRkGRyPYI12G1ROejnHMFtjLO9dh8yCdKfvG7+uLEPLvkP39Gy8lzBYHj00M5Z1sOnYp4VmY4\nEO26kuX/txZ8+hzfAfgTwE3+VW4CMF61fhkAPdTLONtUnCQEPn2P4q9YFQE6vDQdbUYbi0u5Tc65\nAmQPn4B/BCLkRur187YF31t/QGvA8AxOtiaPhVKK92ZuxT6usBafgyfDKwJoRLn0JPOVdHBibJOp\n9WTLgy5vU0Pz9/8NbYUXhzSzfUx/rNQ3rmuYlCgBwK0qLzghJFBzqkd+kRfbjpzBIzopgtGAnS40\nJR2rac75hV5kD5+AN6duxum8wkAE5ZxOqrV64jlprfE4GYnJtW5queBA8tqVLXF7N/kWi2awe3di\nEtO9gXHmqNpmjlhGB2iISOquY8YlIrKMmbghcD7DecmlJiaYr2SGjeMdPWGDYWlOztkCqXuwcia3\nKps7Lvd8bZbudsZMdE4rCPCNRbKR3cU7rInumvkf1adTfR2fUmk38LYxa5N+Obvuc48QbOaIXZqh\n/s312to+PpCfsabWoJAdowj47WXDzZl8865tu46dDdHVO3gy11JGRdexM9D3jTmBv9kzcPkHYuVz\nlEK/rIXBqP06e897vRQNRv4jtF1RZm48jP5v+kTJV+/Vd7rwruxg5q7vTOnZGgCw/cgZbDp4Cv3e\nnIN3Z8h3qow1RF2LvxJC1gP4C8AwSukJAGMB9COEbAHQ1/+3whAAUyilGvc0IWQiIaSa/89vCSFr\nAKwBUBHAaBvfo1jilAc/0tnS2/1dUfS6Fxw+mRt4EBhFo3o20p9YK19R/V0/+XeH4XHN3XoUr07e\nZLgOSzQIESlc2qq65c8aDYKiXNyymvlKflij4/WrtOmbl7Sqjn5NNTI/lrD7vdTlLR4CXP5BaIp3\nbkFRoA5esT9ioV1XJEV0rTJ+5b4QzYFfl+2VbrFmFda+FI1+KNfhZ/N24O6vl+HS9+bhbH4h0pL4\nk7h2o6cFXvOipnuPB43/SIznwdIVVqNDzIC9om0NJLogDsieC9loqZpWNX2aR2ZzCvV95ORvIdNu\n10vheorWR3O2a2YXZ/MLbUcwRRwECQ504VKeN06foc2HTqHl81Pw09JglxUjfQ5AX4NK9tpxI3ps\nxviV+zSTP6sC72YTdT2nRJ/XZwdeT9vAJo0bY3R++785R/9Nk+1NXncQLZ+fEtIG1wh1VrXobXvS\n35KXggpdx2ZacwpGtorRtVxKQEttEccRViUzFYc57ZeNYH+742fyQ4KbwtsCcCZP3y48dNKXjXXQ\nJCuLPSY3OleZlfkp8DI62CVl0owDoftzfAHecAubRwLR0pXulNKmlNKWlNLp/mXHKKV9KKUNKKV9\n1VoclNIvKKVDOdsZRCnd73/dm1LanFLajFJ6PaX0NLt+SaeVSZuvaEdxXpg95Dq8NB0D3zJ/8Bht\nxcqYczZfblIcbT222bpXGUQn5l3r64tP1RR8sKoplZKIpkwKYgAHTi/vjLw30+exNnuQhW6Lf36f\n+2sdevkjb8olEc3aC24f2tn8QtccPQ/8sBIDmLFBKWcLB+wVMPzX1dz1dKE+hyrgc5KInCVeu+Ur\nP1yA16dsgtdLI3Kt8RzJgHzttZvc0b0O0h1I6TYbVTWPMwd/ivu/X2G+kmq/RsfZ49WZ2GMiAipL\n02cm47pPFnFFAb1eir9W7TcdB9gSmAkutXNko5tW4J2/Tf6JyJzNQUer2eRfz0FxTKCkWH2//bZi\nHw6fNH+GrXBw4vLADytxx1fB8harNodp6YoLQ5qevWb1ilC2prTFNoq4s7x/XVvpIyjtdyx4PKFi\npLzL+vd7ught1+j5YeTIt3ovEUJsO+k+nbvdfCUdKKVINHCedvSXvJi1bGXPG3uusodP0JTaiDBt\n/SEMeX9eYNw0+m12HQsGfHirKZ9VNF2i2CQNOzHW4TtOrLDx4Ek0e3Yyxq/cJ+QgUPe31sNonLWS\nni/ruJhrUFYTa4ir7tsfLdVRggn3d8PEB7pz1xPdk56Y1/Ldx7nXyKuTNyHnXIGp+j+L3in6frEv\nmkcpjYmHiXKIu/8766gRDPiMg6bPTMYLE9aH3E9rJepdjcgv9GLjQWvRHLu8zaR1ssrtenTxd5HQ\npl4TU2MK4EfVDuTk4p0ZW7Fy74mItD72Uoqz+YV4fepmzXIrtddOwUas6meVsrdBRdCaEPx5b1fd\n1TRdVyJUvGK2313HzlrqjmHG4p3/4abPFocs/27xbtz3/QrTfbLj5bDv9FtlW52Q5pwrwFJ/Rw87\nSS/dX5mJJUzUPnD4qu2eMQmY6KXti7RXZn9lXsRczbJd/2GSpHC9jO6Y1diKqL3hJHoZUp/NNc70\n1UPp0BEQvpf4SmnJCahbMUPqc/3PqwLAJ/ApUvpRoRS/RIpFLxMhNcmDzFR9R7HV337fiXPIK5B7\nTrAOUTt2FqXAQzqtadUcNHEisodwiLO+utRGhNu/WooVu08IlQVp9As552P1Hp+9JWrjbTvsyy3Q\n62ZTnIg7Ooo5zauXQa9G4e9Ws8GfZjZjo3i64cxNh7nRTBGsDISyEwYRwyRWEE27e/rCptzlIsKe\nCkTzWv/3Ff0N9RxUl70/H+t1xOeu/FC8HaICW2vK4ovQK5746C1fUUcJvlvk7ORHEY77eenekPvp\nwnf0xbR4FBZ58dWCndzoz3N/rgfgTmvGgiIvCh1OTeBNfoqKqJDBpTjSeCQQgrMCRpHjUL4GhEh2\niWhKtSytapbVTPiVsaWOf0IhizqjQzfrDKwYqaVd2YZSc8fwB7P4paIyBCYcJjtTUtMPn8oznJSZ\nTSZE+XD2Nvy7hW+g65XIWuFLppuK8uw5ea4A8/2aYbtM2vke4uh6GWXbqMti2PvLzFF6+QcL8NFs\nuej3DokuKqKijiwyGh1OsV9He03tfLaCaOYXS1qyr2zRQ4im3aweYy9vjsVP9kFqUgJSmZJHO26j\nIoPgVbWyabrv2XFWvTNji9T66nv49SmbbJdXiJSEVMnU2rS7mecde43yOiF1qWfcflcPI+FQBXXm\nmJdS5JwtQN0REwLj4AL/8czcJDbnKpueDABIT3ZAEynKiTs6opy3pgUjaFZKJzwkMoJpitHJU4fX\n455v9KM7ZvxtkgK7dl8O9p04h/dnbdVtlWiH2hXcMebdQjT9vVl1fs91mTRGQpw910ab+lZnIr/5\nkPOVcZsOncK2w0Ej8fxXZzq+DydYtitoJDgdWEvyG76FXq/Q+HTVhwuQPXwC1yn08E+r8Mz4dVyB\nr+N+vSJZMbwDOedM071bjJqC+hKiYiJZGTzajp4qXIOrx5n8Qo2wXbig4N/DZpG6xSP7YMpD57ty\nTHrjysxHe2Ln2MFSGkKAtg2zUa26+h6KVMkaBcLiZVGcFqKZK29P34KGT+nfS71UYptm95HRHsf+\nsxE3jAvNLGGRHe7YKO2p3MKAQwMANhzw3b//bjmKaz9ZhIIiL1ItTBSmGIgeTlO9x/7ERyTbweqh\nFj820xhRY7V0xWySLDLRk2WmgVCpHayWRX18Yzs8NqARsgVtxaQED7L8k2+2TGKyZNaOmtKpfO2G\n3AIvvrxVv/mlHdPBTgeld2Zs1WinySI6TLI/J2vPsWMgL64l4jTILShC9vAJ+HzeDlQs5XM2pOgI\nMP+qk0E6b9tRrD9wEl4KvDhhg+Y95bo0G7PL+jMi22WXNz3mWCfu6Ihy3poW9IT+Ipg2rYGQiKQ6\nKx7YP1ftD3Q/OZVrbKAXUYoCA2+zUTbAo/6uF+zNvf/EOSze8R8ufGcuuo6dgVcmbcJWf8qWk2nH\nFQXTBqMFp/uKV8hI1n1PbRAY2QYVSyWjZY0ypjXPF7WQm8C4xeC35+IiVQswkfKrSNCkin502i5K\ngC+3wCt0Ny32p4IXcEoe/mTaUfIcJ7KOms5jZui2nQOAY6fzpAVsn/trXeD1uLk78Na0zUItvGXE\nJvVqpTcfPBWRFrV6xuLYScadILJKp4ZEI52CnTyxTgcZJ0St8umBjD2zLgfq/b45bbPuem5CaXiL\nZtzwqYz4bY3hvkQDO9M3HNKUwKg/JjNe7D1+NlCvrzB78xFc+8kinM4rxJFTeSHZIpRa6xJzxECc\nUW0nsefglUly4ul6qMWPZRwdbrVR7zRGf4yONgJCt5LPoupl0zCsV31LWhfs86Br/YrS21C4u2dd\nPKOTqVs5Uz9TNxo6v1jBqZGSHY6sOLlnbjyMP/2dAT+cvQ1HTxvbDY/8vAr5hV7knC3A/G3BDJJ7\nvwvqOaUxzhXldjY7PEVkONq0B90g7ugIM5PWHuTWdomgqdEShCAyF3J2hWD68OfzdgLweahZ1C2i\nzCbfw75bjuzhE3Tfzy0oCjEEuoydgas+0nbOsKqW/MAP+mnnsTZYvDRxQ8iyoe1rCn9emeAqpUb/\n61lPd938Qq+QoZyY4MH4e7vhzatb6a5zc5dszcDeIYq80f1VXWNyC4rQbvRUzJQo3XILtRCXWT25\nGct3H9eIbh3KCRrsMpkOIh1g1NfMxoOnQjqtiDgXzLCS6aMu4Xjh7/V4a9oWXPPJwsCyy96fF3id\nYTEtVKkHZ0lNSpBymDjFoh3HuC0ZjbpkuQ2brchmy8icpRmP9AhofpgZxuor95uFzutgiEDBrxF3\nc3+WPmcw8LP6F1b2SSnFbV8u1YiaWp2PdXtZPyOvsMjLHd+8lIZMNETYZKA5pNae4d3qeYX2O6ap\nkXF0WCUSGh1uoVzSC7ZZL6NsVl0u+JCcqLWd9bIy9Pjujo6B1ymJCbiV0+rbLFgXqz/hqD/Xma+k\nw5q9Obj1iyUoKAq1Ya2UKt/yxRI87hc0V2/P6JnTZewMTXBFQblt2cCgYluZHd+PS/VLZIsbcUdH\nGCko8uLub5aFRA1kkJ1Qh+EZxqVi6dBBcxPHUFan1dtFVGzSjTaby3dHvu3siqf7Ca+7XOK88x5w\nyjlcOrIfFo/sY5iF0bCynEjgRRIp5xe1rCq1bSfQe+Cr26/tPX4WR0/nY/SE9WE6Kn3UQ4bdLgfj\nV/iys/71Ox3UJdsP/bhK/JiYB/sxTko2O9KxnVa2H7VWjpRbUBQo/7CSMs0z2tWTbPVYYNexxJKW\nnIDXpzgT1ZXhgR9W4kEBfZFwo9ZWaVSltOa9kxK/bWKCJxChUyZ+yYkePDagUejKUWDwUwq8N9M5\nLQrz/VlzdbBp1WrY24jVwBKJmH7DKVVUdydw6sdq9fxUrmjny5M2On45mJVGse227aJ2dHyzcJej\n21aI1Ukyi9dLA+Wxag2vERc0xue3tBfezutX6QdzACCFcWywmRZm53PURdqMjS71jDNAbu6SjRmP\n9jBcJ1Z/QjslTI/9sgozNh7G1sOnhUpXZKCcPw7khGYFHz2dJ6VRolwbBYIHGGMxWkvEHR1hxIkL\nSjbNuogaC1+5RaQcLCJQUCze8R92Omgw3Ni5tmPbsko5g/IRFl5rO57YoB7KYFomPQlZpVORlKg/\nlHx7eyfh7UYzSucP3ftYdc0rk+Fo0CdVG8tXt/Nl7Vz0zlzc8+0y6W39x0Twn/x9beD1tA2hdedH\nTuVh9N/rQ8Q+WVV1XqkGb3K1VOWgY0s4Rvy2BgPfmoNNB08ZTswaPz0JzZ6djONn8i0JF+qJ2YVD\nrDg1KcFUJLeksGDbMc0kjf3JZUtmlIy2amV8gnybR1+AYb3qh6znZHS6bLpxZPbv+7pxl4d7WDHb\nX56OXfKpToeLk7kF2POf1qhv88JUuZ0C+Ihz/05c4879wUsz/3zeTksp7EZ23D9rDwbnlAVNAAAg\nAElEQVTGQ15QzOnSNbXA6FN/rDVY0zrFJaNDT+hxSJvq6NUoS3g7Zpl+vMDRU4ObmG53xdO+wJPs\nFdKsehlkmmSJFJffUA+jAOip3EJOa3Xn7kNlU3oZggOaVdH9LAHBtiPBoI/yO4keX3HqJqlH3NER\nRpwQLpMdbI6fyUfVMvpKym7hRtaEU8zdchRXfbQAr01xrr76ju510b2B9bpJp7i4ZTUMaV0d13eq\nZbgeO9EEgqrNIrDXoV5Gx9D2NVGJk93jFOE0+Ae+9a/h++prXpmAudV+c5zFFnmpSR7c9sUSrNmX\nIz0h+G35Xvx3xpd5keghuPOrpZhj0prs6T/W4tO5OzCH6ZDA1ufzfkfec3qWKjrz63KtZtH3i3dj\n48FTGPDWHIybuwPLdmlT4xduP6ZJ52z9wlSs3COficW2NVWwkyIril31eR7f3d7RfKUo5Ex+kSbd\nmn2+yj5ub+5aBzvGDDJ1GDv5ZGtWjS/2rECp757lvhFGzHYn61R6a6p5FwblVl2++zi+WrCTu45a\nF+m8ZybhknflOj3JkJHMb71p5ZdINtH1+GvVfrw0cQN3suJ01oUdYUtRisscWc9BJWvvWtG7YMtX\neJTLSEZW6VTULCcnji9SDmWx4U5Mo9i5V320IOQ+t1uurtbpoaDcrFYjclU2fP83g21tlUvLSUdM\nrFMCL93I4aRC+7T1h3Aq1zw1t0pmqqOim3ahlOKLeTtc6Rwgenp5k3y71CyfjmMmwkLh4O1rWuPN\nq1th5CC+2JQC76Epo9HBotd2buzlLQAEHwpWVdsV3PjtnILwMjpcOtwX/hYvidGK8xFMl9AN2Xbk\nNCau8ZW7PPzTKszbeiywHaPOAQqT/EY0e2+yehvs+z6xReMbWmlpOWfzEbw2WVvOsWLPCVz+QVCb\nZ87mIxj68UJ8OMd+ur/eFWy1G4sMsq0jRcjUcdxEO48PbISu9Suic11fSz/WoXqEU2pghsgExElR\nPjObwOMBOtQJbVkY/owO/T0ezMk1nMjy2gv/uWqf6T4VDZLL3p+PZ8avwwoTJ9+Z/CKs2pujWebk\nBDs9he+csDLhSTA5rt9X7MPHc/j3+g9L5GvrjTpPvTHVF/BxM/M3mjN8nUD2+5mtzyt5lNnF+Q0r\nBV7r6ac9Oahx4LWIOH2bWuUAAJ/c2A4AkOViACvcFHkp9h4Pvf7XHwhq6bBlrkWUorpBO14Wo/uL\nUuMyWp4j7a6vlwaPReXUUNaMSBv6KCXu6AgjTnjYKPXV/9/+1VJDccwADrf2FEXPwJi87hBG/bUe\nV364gL9CGJiiE8GwW35StYy+YnW4MRNI4z3Y9Ax43vXDCpglMpbbyEFNsGZU/8DfyqVv195hj9us\n9tRpjAzGX5btRZOnJ8HrpTjrN1T2nTiHIi91ZBL82M+hGhhegW2rJ1Oyhn+f12fjnm+XhxjzXN0W\ng22zAprsQ52d8P2z9qDpuKWMpzd+thjvztyq3R6zP6X21amuBTwOn8oLKdEJF02qZmLrixdEZN+R\n4tauPkG9b27viHE3tdOIAQMImfQ6hZOT5/kmgoYJHoLXr2wZsjzsz3SD/XUaM90w05R9NgD8MpDA\nrvxf7pL35mmW/7RUvuuc6E9l1AVFQa915J1fy5cAmv18Wp0R+yidp5btOq5rh+a7OnYVD0+HXuaG\nrPNTfb+Yla+pdhJ4aTaXSE704JF+DQEACTrH1kjVjU3tjOQ5YaqWSUXZdF+mW/Pqxlloscirkzfh\n2k8XGa7DZqEWeX32nSjdX9EXO169Vz6zNFentbsSTDTqYFnSiDs6wogTmUReSgNRbRGNCVaZPtIo\nD/ANB05aUi02QrRMQM8AZo21vk0qc9fTQyZSHg5Kp/JTbfV4bEAjofRIIPRhyGZ0ZKYlapTBr2hb\nA4B+2r8o9/bW1szXzyqFGuXCV5pl1KoU8KW2FlGqqZm8//sVaPz0JNv7/pnTXrrukxPR+OlJOGOQ\nIaW+y/QMtRkbD+HaTxbqRidFJlZG61BqHPlk3/E5V4z3Z2TssToW4cjiLJOWhDX73Jlcm/HPA92R\nyOlqJYLTk+ar2tUwfP+BPg0c2Y8yXid4CPo0qRwy2Whbu5wj+7HKQ30bmq7TmBFQZfEQwi1dCXeW\n5qC3jUtCjKZ5PKf6dR35pZVGZRRulj/c8dVS03X0yjO3H5F3SpjdczsF9LLW7c/Ba5M3hWTH6TF7\n8xFc/sF8fDBrK/d9N51nTv92HetEptua3veQ/XpqW5PnOOAJy8vuQ/k5ea3cAaCHKutD/Syd8UhP\nw3UDx1M8fFcAgPnbzO+ho4wzlG/PWDspd3+z3HwlHVgHZTH6WRwj7ugII05M7CmAVf66cpE2gwQk\nqlqf1qsU7MDhtKjeYBNjTJau9UNTho0Y0rq64fsypSHXdDDW2HCD8hnJmD+8d8jy8cO6hixjnUJs\nhgc76Xikf0NsfGEgMlLknC9qapZPQ52KGSHLo1EkS20UT1hjr9OJCLysju8X78aI39YI3f93fb0M\n87cd043q2R1BUpM8GmdDGlPTzxsbzSZz87cdM2w3rdlWGIZAQoA3p5lrD0QT71zT2vA839c7VIxT\nhJ/v7ow3rgrNRACcdHQYv1+xlLg4sxvc1j20hSOLmePXQ/jRYrdK4vQ4alI/bjQEq3U0FPScBnd9\nvcxRF45y7rKHT8DYfzbqrreF0xGOxckxZLaJtpEZ+YVeDH57Lt6duRXXj1skFPR62f/9WW2yupWU\nZ6p7g6TTZb2Rsmj1LnNpG0S1egHnmWumEyRSNqJM3kXKHdWP32yVjXVNB5/NmqXq+uKEkzXRQ/D7\nPV1sbyecsIFUJ6UIAOBMnrWsX1ZnjBBiqp1W0og7OsJIkQM3BqUUD//kS2EXaadKIlS6orfP21WR\nEyutHd2EEK2DQfbhlWRSeCvTrz7ZrIhXgFKMU+G3e7qYqn3zeqm3rFk2ZBlrfLOGK5suSQiRFqwT\nJdr8HJQCSZzoutPiUGoDiRfNH/HbGny/eLfGiNE7V8r9qpfxYddZSojW4Zqc6MG5/CJsPazfItbJ\n0+XE2KuwXyddlQAxZ2CYtXK2oqVEQNA+uzwua8PP7HDqfjUbn18a0tyZHVlEL2VcoX5WKdMpQ5m0\nZO4dqa4dj0WMvvepXOdqy9XnzqjDkkgb6OgJFwFLdmqFlo3GUQW9a0axE9zUv2IfT05nYdarFBoA\ncQPdW9qGRgelwLKn+pp+pkUNX+bHHd3roF22eUZLu9q+dW7uki13cCpeGtIc71/XRuPwNrMVRFj0\nZB9dXbdohbXfnLbnLjIQUpYpkfEQYF4J6KQiQ2xdaTGOEx5AK1vgtRKNBpz2iDrBmMusG8elUoyj\nc2YDY0qiB89dfB4AZ4wqtgylTa1ygTpLFqWeU80rfiFRAFj+dD/MfaJX4G/WZ8M6MWScOqLo1sc6\nvid7UFBuXXq9JydKbeeliRvw4xJ+uzEAeHOqaNegUKEqWdhLt0DSKCbQXtM55wrwv2+Xoe8bs1FQ\n5OWOBXacK2zZ2dMOtk3c4p9UXPvJQsvbqJxZfITcZBGtZ7+0lbETxmwzFThO23Bidny/3t2FO9B3\n8E9i+jetjEqlU6LOkctDVqMgXM9+0cMyCwAA0WWvXMfoCdz+1VL8wiltFCHZ74XYIZAVYhX2+rB7\nKtksiFImrVGd4qyOQ0xejDT4geREj9BY1aJGWawZ1R8jBxsLzQf24T8okXLhvk34rXEJIRjUvKom\ncKOIV19iMj4bQQiJqiYJIrD2+0lBh+zZ/ELL96bCX6v2S60fW2fWfeKOjjDiRLqp7ANi/rZj2HH0\nTECML5pwq2e7U8hOtB4b0MjwfV6pkfoBs3pU/4Bh5oRRtYtT58urB905djDu46STX6UqtSmfkYwa\nqpZlrAHJPujdMM7Z9lvl/emdTnZBcAJK9bvQyPDxnO144tc1uu+LthpVi1aZdb3RMz5YDZBRf4l3\nfQF8YlubVenhZdKSMN/fwcVLKXdce1OgBaUeJ13MFlMynMyEJI149qLznDoc2xgNNZFqE96pbnm8\nZOJ0Frnv3XC4ig7NZodXJj2Je789cUFj3NatDl7zl/5Ec6t2hX+3iGcyDft2OWZsENOzUj+D3TwL\nIhNNkc4UkeRRjlg1j/bZWu0axSlvloFkB6fLS9mMyaQwtXXRu/ftiJHKUFrGoaN0uhPYl4y+U6mU\nRKwZ1R9PDGwsrQOnQBCZTHM9VgsIV4vo5hR6vdh6WFsG9+APK4XvTT1ukmiUcPR0frzjCkPc0RFG\nHIkIWNzE4ZNyPZrjyJ/qtOQEbHtpkGbZ4if7BF7zOjJMUxl8KYkJAWPOrYeAWe2nVdgHvV3DZsQF\njUOWVVTVpa5/fkBATyTK/BwA+J0GnGbh9mD6csvnpuiup47+6R2VcrnpXXetX5gqeXRaXpuyWePY\nzDlXENADoZR/r302b4fl/S1mUrudpKxOhEwk/V2hkYkIZTjRG2o2jR7IbbkXLtKTrev5KJjpJgHA\ny5e7U+Ii4uzkZVumJHrw9IVNkRmmKLUTqMciMyasOYD9OWKtf3njkUwAwkwEWUHkGTLqz3XC+41m\nWtfSOjoUp0H9rFK81R1BT5PFKiFi6GF43gLAIzoTVtm9h8NmCXS6s7CvH+7shK9v66D7funUJF/Q\nxKKd6iGkWGYdzNp0BH3fmKMpb52y/pDt7cqWfTvx7CxOCDk6CCEPEELWEkLWEUIe9C8rTwiZSgjZ\n4v+3nH95T0JIDiFkpf+/Z3S2WYcQsogQspUQ8iMhJLLKYWHgy/k7bW9jwXZrUUQna9RFiLW0NCA0\ncmbllLERRLWIEy9qxKpZN63ma/nVwQFV8doV0s1Xcgj2e5t1EzDjrh6hvd/V+0hPTgwM/tHm5/Bl\ndMgd1ZtTN1tqMSZNBE+WkRhzNKWFm6FnOJaWENqNhq/bpGqm4fspiQmYtUlecySaHI9jL2uOlc+E\ndjBQc3V754Wf61bKEMomqZgR+kxgrw2z8+n0JDKa4N0mMvcOhXNaP8t3h2F8DgPTN2gnXjw9qWin\nisquAny2m574cTiQHfPCIaCu2OBW9tSpbgV0bxDaaSV0HxYh9nW/ohmnxXc/mmMuKKumOJ9bK5iO\ncISQZgDuANABQEsAFxJC6gMYDmA6pbQBgOn+vxX+pZS28v/3vM6mXwbwJqW0PoDjAG6z8T1igs8d\ncHTc/Y18z3bA3bREHsXhPnPqK7Sp5Ut1H3BelZD3qpbRPrDb1i6PxSP74JJW5pFIM/Zx1O5FvtWv\n/+uCv+/rJrUv1lZqUNn5iHXOWX45ghOlK1e2NW6JKYOXUmnj8f+mb8HF784LbsOlfqhmYqNu3rd6\nX4lS54W9IoGMsyYaDJHRlzYzXSfSDmu7ztrEBI+uLpGb3NPTJ97Xq5HJZIFzO8qec5HuLrEK7z6R\nvc9iyYkaDrYx7XDNRNSdwOkSsj6MBhMAXfHjcCD7/cLhm5zuzxZesSf6HHSEOCs6HG1Ek7M/jlhG\nRxMAiyilZymlhQBmA7gMwCUAvvSv8yWAS0V3Snwzk94AfrHy+ThxwoHVmlw2sqDUPxZ5Kd682jzq\nkFU61XQdEXiaICI2X9va5dCMo+Whhp0whyNCwesI4zsW+8jUqJpBIZZK+9Qfa3Tbo/68bI+9Y9D5\noc1+JgqKTQdP6TqV7KA34fBSym2xF63M2nQkRLMEkIscO6krY3US0cqvNWLkdCkokp8kOjkUzHyk\nJ5aMNO9IYIaTWQ9CpRD+f18wcSbxsoBkMzpiQcPDKryOUTJXpC+jw/wTJdkXolw/bp4CNsNTposE\nD7174u/7uhmWXLiFrP0TDnvpvGo+G65W+fBl9oriIQQZKe504VN4qG+owH6ckomIdb8WQHdCSAVC\nSDqAQQBqAqhMKT3gX+cgALWLtTMhZBUh5B9CCE91rQKAE37HCQDsBWA/hB3luCFmFa2R0Og8Kjms\n2sZsZEHJpvFSiiGtwxd1qFPRvZZrLw7RGvDqydaNEsJJMujZBidz7U/Ki5xQCvZDKdXNoPpnzYHA\n628W6ndUOXLKnqYOz8kF6GeKqDU6Brw1By2f19f8sMq6/fz2huc9O9kV0Ug3Oe/ZySHLZCLHTpaV\nqa+1V65oYbBmkAf6NAic8/IO6/bIThqfuVC/i4DHQxxxUmx8YaDtbYjiIUC3BhUBmDu0eL8Xex2Z\nOTJi7NaRQp3dooyXMtfXqj0nhNaPdOZSJMkt9GkLuenscVownO1+omy+WfUyaC/QetVpZB0X6tXd\nEs6u7m/hWzbdPa0fq5mJ4RAjLZ8ReY2jP1bsi8h+S7Ljloepo4NSugG+MpMpACYBWAmgiFmHImgr\nLwdQm1LaEsA7AP6wc4CEkDsJIUsJIUuPHJGvFy7uXM+0GdNj7tajyB4+ATtdbCGmZleY9hMLKBMK\nnlOK1egQ5dMb25muc0f3uiHL5trsr71p9EBsf2kQWtQoq1muVgOfvTm89+khB4R22Va8dmg+aoqu\nU+Z/3y4PWcYzFjYe1Cp3Hz4lJt4X3CZ/uVmmyZh/Nkjtxykc9DNFjH+3iN9bSQkeobZ/Qqh+0qva\n1dRfT4faFTLQqa5zkwPZOY1Z6rwTcyQnM7bM9K62jxmMyn4NAbND5+k2ZbH6AyYbCUd0OFJwxUgl\nnBLP/bU+ntFhQnl/aVcslfh8Pm+n7nuRuB9knY1qx4/SrlUk21eG27vXweVtauC2bu6VtqVZFL3M\nL/QWa9dinj+oPWX9wQgfSRxAUIyUUjqOUtqWUno+fHoamwEcIoRUBQD/v4f9656klJ72v54IIIkQ\nUpHZ5DEAZQkhyl1SAwDX9UUp/ZhS2o5S2q5SJWuTwuKMqDip4llcukusJaVdloRpP25RqXSKYwOx\n0tKTNZCTEzy4oHlVS9tsUdO4tAQAru1YCzvHDtYs28vodkx6sLvUflMSE7gtSutUzEC9Sr4MkqEO\ni/uNusgX8e3egB1G7JNVOgU/393ZcePIzGZUZ6Hw1t2j+p0Kirzo8OJ0qf3rGa3vzdym+Xv+tqOa\nYzDKMnGTrxfuish+I4lT5TpWMgXZy51tO73iaWMBTyNEROzKqaKM9SoZd3uIttIMmfmglWGletk0\n7TYM1q1ZPq1Y14Pzu67IbWPRjmBHmByd6Dn7XCxRKCVBMTTzrMBkoamzBSNxP9jJWFEy1pRsX70S\nXVkyU5Pw+lUt5VrSSvLTXZ0sfS5cXXIihaKlmCDQeSuO+4h2Xcny/1sLPn2O7wD8CeAm/yo3ARjv\nX6eKX4MDhJAO/n1oZuP+DJCZAK5gPx/HHcL9DLuohbUJfDSw8YWBmPdEb8ciHMqDjC0bSBesUezA\nScW0avxf00Eb8W1cxbjzggy9GmUBcL4LwM1d6+Dfx3vhiYGhLWcBn1PKKvOH93Yl1dXsynn0p2Cb\nuv05QSN7wTbfUNmncVZg2U2fLZbfv+Cle+0ni2yXyTjB94sj42CJJIUW9C/c4sbO2ZpabqttqNc+\nNwCDBJy3X9ziq6PPTE1El/oVQ0qXNPc6ZziZ/VhPS8fnBDLPBSecNEaTqJREd+vcIw0ve2PmxsOc\nNfW55fMlgdeP6bQHjRNb5TvXdtQGUx7tH9RjiLUptPr+XjKyL2Y+2iOCRyNHXRMntR5JCZ6oev45\njWJTRaojVvE9s9YQdTf9SghZD+AvAMMopScAjAXQjxCyBUBf/9+Az3mxlhCyCsDbAIb6HRsghEwk\nhFTzr/cEgIcJIVvh0+wY58g3isNl6+HTAELbcrlFLN9oqUkJSE70IK/AOFKaJTjBbujvQMJOHk74\nBR/NUthHDAqd4FsdP52ulVVjp287j4aVgw/RmuXTddPPk2w8TJRMDqejWWbbO3gyWIrS7eWZgdfD\nvvOVtqi/0fxt8i2lZSZjeYVF5ivFcZwCh+p1rJRdsRPwmuXTMefxXiHrXd9JLjurlGCLXcWxUaOc\nz7my/CltBknrWuWCx8rc3hPu74baFdzTHzJDTnSWv1zGADZaNRy17pGEd6555X+iHIoCp260oVw/\nsXQdsbfEDZ2zA69jrZRLfX9XKp3iagZGtOAhxPVuP9FwOUfM0RENXz6KELJKKKUh+e2U0mMA+nCW\nvwvgXZ3tDFK93g5fy9o4YSQzzVpNnSw/LbHXNSIaGL/SWEjonwe6Y+mu42hk0kr10f4N0aNhJbRR\nGe9q5jzeC7kFoZPNaQ+fj5xzhdwBW8ZhcXOX7ECafG5+7Exq/7qvm5DX3079fVDJ39kng9n29ESE\n/zuTrzkuhSqZqRrniBl6YqRxogenjJEbO+mL/yYneqRKWxpXKa3Rh3n+4maulDM1rlIag1tUxX29\nfW1YyxgI5qlvhcHNqwa6CUQKmdbPeqO0zP1pNNZvOXwa/c8rvve6022Y9c5k1TKpOJAjp4NUXPh9\nxT68eXWrSB+GFEZXBVta26VeBRzMycX2KNONG3FBY4z5ZyNuVDlpSgqElIwWrJEq0fls3o6I7Dda\niRcQlRCUqF+45j/h0gJxEjYd8qr2+sJ+neqWR4VSKRhwXhVkm3Q3SUzwoHO9Crrvl0lLCojXqamf\nVRpta5fjZuHIDJ+jLj4PLw5pDkC8XCYaSElMQIZAhNiO15y4lNFhxLr9ObodSNpn+5xh7ORG1igY\n/Pa/lo5NzXszt9reRhz3ubNHqOiwwg2daqNlzbK677P88r8umPtEMLODp8fjBIkJHrx3bRtN6Zxe\n5x31vVAYBaq1ackSY6jqK7WoEXTQvH9dG8eOpzhH75y2V/TG0RMutNOOFdKSfNdzLF1HMvpGHetU\nwIxHe2LpU+Jtqqc+dL6Vw5Lirh71sHPsYJxvUZA+liGIvcwbK0Tjd2Q7JpYE4o6OMHDVRwuQPXxC\nRI+htH/C6HSERA8Z45rH5W3C14ZVoX6Wtt7wli76atVOnEbRrgvVyqaFpJBbbakaS8aMKE48S5w+\nLUbnefDbc3XfU0oK9p+QF8frMmY6xv6zEV4vdURc79XJm2xvI477VDIQryMA/rini/C2SqUkBspJ\nZHj9ypaY/KC9yYFeKaD69nZIv9UWHetY0/RRa6AMPK+KU4ejEdu0Qqe65fFIv4YhIqhRgdOODp3l\nGTEUAHCalc/6ysZiSaOja315YfJMiZKQdMESvFhn2VN9Meex0JJFtyGEoGUNe3MEPX6/pwuWjBR3\narlJkoPdvtyinIvth6OF6P8VigGLbRoiTqBE5sL1KCtt80GxZKfYOUuXia4ZoHQMUZOWnIC2tfnl\nJmZ8c1tHfH5ze8N1ZHQUKpXSZnVIRRVVuNljvkcjX2SiXZj72OdZ6DrBEm6NDj0W7/wPx8/k49tF\n8uUC+3Ny8eHsbXjXoUyMqJz4xAmBzf5hVfvd1OVRuLxtDTSqYlzCZ4beUaoPv3yGdaPst3u6oHSq\n/QkMIQRNqgqKOKvGAXXGiuxPMn5YV933ltnMnvzhzs64r08D27+fG4Rr8u3U+P/YgEaav2/uku3M\nhl1EEbSNlSDI0PY1TTuTfHZzu5BlvISx31VO4KGqDF7HWn9HORVKpaBWBXnHtl0IfHOSi1tWM11X\nlsqZqbYE6p1EL0sxmigRmjCRPoA4QeqalEDYISHMKfqvXNHC1ucHnFdZaD2neoTrDYxWh6luDSqi\nl6pzBg87bQrLpVvrinBp6+qWPidCj4aVsGn0QLSymc0jizOtAZ29Me773rpg3vuzQh0VMtehU47V\nKmXCI1xcUlGXiFglmRMx+vq2oPRVFGbO6jJycFPucnX677MXnWd5+21qlXPMAL6yrVjGoXpUUf8U\nss4no9WdcN5EK06Xrhw9nc9dzrZ+t8pJpn3t7d2dsU/CgZUzMKxXPcePw4wdAlobvMkbb9KpHltG\nX9pMtdziwcURQjntooL+Mii/qZW2605TGA0piCq+uMU4+FpciTs6oojzqrsnshYcuMPj6ahQytpE\nXKGLhdREO+gZVHpny4kJRN8mxo4QNawOSEKUzmAi0e7whUujr+Zw2xHrwme8a1FmYjR361Gp/a3c\nc4K7XBFGjeMONcqlo3Ut607B3+7pgtmP9wxZrk6XnbjmIPez0Th8DGrOL+dQZ2yJaPYY4ZQKvl6k\nfsGI3pq/T+UWBl7bqdc2alMro1dgRLjKWmVgRZvtHqNehyKnNDrOMaLiiZ7YMbFlMkwVTp4rNF/J\nYURKtbROReVfgnt6ah0zZVVp+4kJnoAzxEMIPry+re1jjcMnoI3GLM9wIENbGeKjQR/jywW7In0I\nGno2ygoJsO6zUCYda8TOKBzHFuEWXTQyzMzISE5Ar0ZiTgCnhjI9JX0rD39RXrmipfC6F7Woqoky\nuCUSGIvcYNB1IhYZNzdUMdvNh9G9363gLheJnMWxx9HT1ttdtqlVDlXLhJYXqTMDndAe4JUwibaR\nlUHPmZdioX2uHk4Zvx4PQYWMUGc++3vUVqWFO1FClMnJ3hDpTBWrsN3Ilu+2V6az9fBpW583g82C\ni6XHtBVTp1RqYthLHC9pZV7uoL7V1D9BB0ZfhycCr3y+TW2fE9qsTCaOdVj7uoUDuh3KONugcimT\nNUsm7G3Oa3ZQ3Ig7OkoIwTaa4d2fFdKSxY1op76PXuqqm44hvegSD0II2tUOr/ZFSSIKg5lxSgB7\n/nPegeXxEOwYMwg3da6NifeHdIaXhjdOhXP+lpzgQdva5fDxDfYjrFWZiegfBtoXZqizNQBtvb9C\nUoIHr1zuK+O0M+lVnqevXRnqHHeqlXQ4tFxkYcX87OoxNasuqK1iETbAE43nVB/56yjRQzDz0Z5Y\nxnQ0eahvQ6cOKgSRrC71eT+VF7xP1d/w6nY1kZrEdwQTkIBTNBoznWKB7+7oyF2uzoZjT60TmhbK\nJro3KHndbOLwiTs6oohGLnogFR0DvcyFWGXC6gOObEe2dCUSxJIqeqwRt2XiFCcIIXjukmZI9E8U\nWXE9GXOSZ+gPaeOO1s+65wZg64sXaJZ5PAS//q8L+jvQqYQVl7ajJ5SVGYz0/rxHKiEAACAASURB\nVHVvN7SuxReuVqKWdua8Z/yTtd3/nbW+EROicUq+bn+O5u+9Nh2DbpeSsPO0WPJzWH0GJid6dB0G\nbiByStUlT+qxTz2W/XdWvzSTEKBCRjKu6VATn5dQXQO76GV1X6/KwGUzOu7rXd/+fgVuuqQE92/M\neZIlxHHcI+7oiCL6NXWu5ZweYcvosPNZiQ9/elOourYV9BxA0ejN//HOTpE+hJjg29v5EQUecSdS\nnOLMqmf7W/4s786wIwpqREZKYsA54wZulfydV00/U0DRzPlp6V7L29/sL7mYsv6Q5W2YUbVs9KUw\nP/7Las3fmw+dsrU9t0d51naJIT+HpXOjfD+nHToy2a489Mw2ryoh6NmLQsWPf7izE65qVwOJHgJC\nCMZc1sK0nOL/hrayc6gxz+In+3CXn8wtwKP9QzN71M6Ny9poRZ2bGoyjoogM8VbF/GW47tNFru/D\nCaJxjuM0cUeHy8hcRG5Mth7s2wBAMGU3bBodYQpl1K1UypFuNazomYLe+bKjQQIAtcrLt/Syu8+S\nRlcJQdsSMNbHiRPA7vAcC23zeDglRspidD77+EWn7bQa7eBv2X1TZ+vbMOOpwU3x5tXiulHh4Bgj\niGzXCea2Ud+8unZSLKoJM7h5VSnHvBuoT41sdwbWNrmhsz3drEyma8qv/+ss9Xn176z+Cf5evT/w\nuka5UBusfXZ5vHJFSyn7tTxHq6ckkaWj8ZCZmoS7eoR25VE7OlrVLKtp1e2EhpLRb/f5zb7rujh3\nqjKlBBq7cUeHy+hNoMOFIhSlqIqHK3JtK6PDgf2rB08R9ERH9c6XnYFy7hO98Pf93aQ/F886cI/4\nmY1Tkvhj5X7zlfwUJ7tIMaRv7VoHO8cOdmy7Rsb1pa2q44tb2uPpC/ntc0VQ/DNuPgNSkxIwpHUN\nVLTZMc1N7Kacr96bY76SDTrXq4Dmqu55IvO2sulJeO+6NlKOeTdQOweEI+v+L8h+T/Xk/8975XVw\njp7O0zhTjbq5seVoANvWObgduxovPKK1A16kSU3yhNjyd55fF40ql9YsU193Tmp0AECLGtpOlkqX\nnVKc9sMlBfYJUowe77rEHR0uIyoU9vd93VwxKBVV6ebKDR+2jI7wfZb3lZpKOjr0zj1v+WMDGmGs\nX2DOCjXKpYdELERQ6rMj7TyLBV4a0jzShxAnjm1WPN3PsW1d06FW4HWDLHE9KHZyHcvRsLL+lOXM\ntPB9B0IIejbKsmXEK0P+cYfaoBox5/Feru/DKtHcrvV+v76A2lFkloV5WevqmPZwD1eOp1JpuW4h\nO48Fu2zJRtaNVrfaSUPt+OFt//4+DXB/7/r4/g7jUt7TecF7RvaciBBbgrPu0CCrFJKZbKtEjyfk\n3Dw5qEnIMrWN7URGh3obulsrTt57Sc7maztZlYRTEb1PjWKC6KS0SdVMbHGh9dn5DSth3E3tAiUs\n4eu6Yn3AOp0r15u90BvqpR85uInUNvS6rvB+vmG96kckXfHQSV8rypV7T4R937HGtR1rma+koiQM\n9nGig38jNJG8un3NwOtm1csYrGnMnMeidyJsxmWtq+PFIc1wT0/7onfh5IRfOPHPlftc31e6RNez\ncJMYBhFBqzzcvxEAxvZhDve2bnU0f79+VUtX2pcufaovLmf0D8xYsO1Y4LXZWQ6HmOOH17cJvFY7\njJTT+3C/hni4fyOunof6ef7nqmD2Wku/00UpBbPKHd2Dv2PczwFMfbgHxjOZO9XKpmqyK/RakqvP\nnzMZHer7j98FqSSbexnJ2uyokpApHnd0uEyaoBo1AVDZBW8zAPRpUjnQpk2vRCOaOMN4HM3gtWgs\nn5Es5YzQEyN1IwJgFUX06pr2cpP4OOZUVwnx3dI1O3IHEqfYk5Ys3qHAydFaz9A0PQbmIMrFcE26\nx0NwXcfatsUOIwUBwXMXuyMEGwu4pbHiBnf1qBsyCa7C6Bm4lQ1QsVSKzaxa4w8rjsKAGKnD+mFp\nSQkah5tsIo968lY+I2jDpST5NlSxtL0x7LqOQQ0SpaNhSaeav0weAC5oVgUVSqVorqPTefwAprrl\nt4cAXepVsHUcBn5GpCq/v4Fz8daudXTfA4AH+jSwemhRiRJALc7E5tM+hhBVefd4CNpnl8fV7Wri\nkxud6SSiRjmKGPBzOIZMiceFLatxl791dSu8fHl0lEFc0qo6do4dHNMTjWjlPtXDi426xXGWOhbF\ng2WzdKKVSE2y62eVCqmPFkHvmVHaouOkJDOoeRVkWXCeB34CAtSqoBVRdKIlY6zgZkcep1Bsrfa1\ny0e9fPiCEb25y82Omx0SnPLXfHazz/ZlHRHSjhTVAf58V1DIVAn45RfaM4SzK2agpb8c3O7EvLhQ\nJi0Jo/ydbHhjnN7z4s2rg11rCCG40UBwmXUU8lBfiyv3aLOfG1fJxNjLmuONq1riqnb8jKfq5dK4\nyxU61rWXDRQJmlbNDNxb7M16fafiYVcZEf1PjWLOlhcvwIbnBwLwOTtevqIF+jWtjLevae3ofpRr\nOxb8HDXLGw80LPf0DFV2BsRrydc/PwAP6nhpy2ck4+p4BkWxJynBgzJpPt0UJ+pE4/C5oVNtfHVr\nh0gfhhDjHGpdzZIUQZ2BXo19HUCcuMRLxbBWR6R4/7q2WDyyr/TnlExMAqBxFa2z6hF/yUS4aZ8d\nKgLpNuoyhGjl8ra+CVSTapkhpa8UFFe0lSspsYrILc7qKkjvw78T9TOzZ6NKlrdXt6JPO4h1bMiO\nV8p571KvgsaxnF3B52RvXcuaboiaP4Z1xbrnBmgyGUo6ShZOZlqoBh3roFUoG9LqVX+WomTkGGFm\nvw3tUAtl05Mx5jJrOntJEXS2egiQrXMejWhYuRR6N67MfW/4BXJl/rFI3NERQepWykBSgoebytzJ\nca+hvzYtBlI6ZFWsH7Vp6KUnJwpn3hQHYin91w1+uJMvXqbcG3FHh3uUlEuvR0N9Yz+SOgNO1uMq\nj5K3VBG5kkRBkfMdHKrrTJoUce27etRF1TKh6yjR0vMNrjsAuLJtDU1Jp500bBmD/7I21S3vR82q\nPdGvTzWoeVXsHDsY1cum4RxThktA8NqV0dPCV11aIFVGw9iR6k/a6UKiaKXtPX5Wd/siKOMceyiN\nqpTGrEd74n+qtqfZFdItZXESQpARz2rTcHnbGnhqcBMM6xWaZSaqv2E2RbmrR13D99X2G6tHIXI8\nZnOkSLZWd6LUrYh5bpUEk0zoSUUIeYAQspYQso4Q8qB/WXlCyFRCyBb/v+X8y68jhKwmhKwhhMwn\nhHBHdULIF4SQHYSQlf7/Sqa1pENWafMULRkimdEh0savadVM1Kvk87YrTodrOtQ0+kiAkuSkcILo\nd3XZ4+F+DQOveYJsneoap5rG/Rz2MMqkOplbaPn8htNHu/a5AchXtSKsW0mu3KazQTqzjKPR8UuR\nKtsV3/KR0/waXkUEmtfesSTwSD/nMyleuJSvv1E2PRk7xw7Wjcopz8D/M3E6vXplSzSpGswIsePo\neOMqcZPtob4NzVcqhrBOTaW9pQyypRFKqa18FoR2gP3nge7Cn1XvS0/YXc3Yy/jlwMpH2UwYre6C\n+RejBuNcdsUMjc0467Fetlo/xwmS4CG4vXtdpHK0CUUDSGZXzxMDGgdeLxzRJ+R99V7siG7rEel2\nwlbMoFoVgvZLAuOgLgn2rqmjgxDSDMAdADoAaAngQkJIfQDDAUynlDYAMN3/NwDsANCDUtocwAsA\nPjbY/GOU0lb+/1ba+B5xTPBEee3Kb/d0wav+SMf2I742Z2MuayHkJNGjJNzAViju7WnvVxnvr1+l\n9bMq18Tsx3riuzs6at6jzDpxrHFBsyq67/2+Yp/lqERegZxIsR3SkhI0xtr9veUmhEbppVa/f20L\nKassPyzZAwCYu/WI8Gf0JsMnz/nE5Urq/XJVezFHvBk3dQ4KG+o5MsxQoowyYuPf3NZRN0iweGTo\nBIKlShlngzGxRC/B8gzW6SvbCeXnuzvjO1X71P5Nza+PS1r5smfMHAI1yqWhnMrxksuMr038WUSy\niJgXQzvUwtXtaqJyplbLoYZfH4HVRZM1WeLP8ujDqYwO9ZjF07tSv692rjiVJR/pjF/ZgM+lrarh\nXlWGDZux4rSQcDQiktHRBMAiSulZSmkhgNkALgNwCYAv/et8CeBSAKCUzqeUHvcvXwggPAWJcQxR\nLuVo7bpCCJBXIJcKfHU7ZwzNkoaIoFOs8ubVYmnBtStkoEu9itqF/lvDQwg+uK5N6IdimGpRNCmR\nTcB699rW+OvebmEt+SCB//mQL/kQO9YlEnoNrWraryvv7dfokIl08dKQgejqSBXLPHdJM9vbUO4p\nmQmh0TWtl1Haooa1CGk0Z11aKecVvX9SEhPw2ABf5s+Tgxqbnge1PlmjyqXRnmmD+t+ZfMkj1eeh\nvg01TtcMTlvhfx/vhYaVS2H+cD3RUt/n1dsRPZ8vX9EiJLsyNSkBO8cODtFFky23jYUS7ZKGkaPj\nmQubBnRTjMYlo5/1vt71cWkrbVMBtRzWRzc4o7kVQYktEMjbIm8Nba1xCLGBzpLgDBT5ydYC6E4I\nqUAISQcwCEBNAJUppQf86xwEwHM13wbgH4Ntv+gvc3mTEMK1mgghdxJClhJClh45Ih6FiqMlkNAR\npeN/AiHoWKc8bu1aB3Me6yX0mZevMBYTUredVdSg40RWI8BtLm1lXAtudP0rb3kI0aj7W41sRRN/\n3dct0ocQwCiC8Pwloan7F7aohuY1yoQ1kkIIcDYvGOF0KurxKjNmqZ0Fn9/SPkSoUJ1Voly7Twxs\njIn3i6eVq1Gi8Jmp8in0LNH+TClJKBNNkUCGnWv5U4sd4aL5ifPHyn3SnxEVOgd8jsJtLw3CH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fqtWzT94/PcNMozVd8+HD9bOPHN492lA5xbnGFn17dZcjKl2Ve+1UWlNwmxpG5/j8yfuUfOa1\nPjPprZ+8X1efc5jntNXKWk/ljZqVc8HxmcJ/37zoRn4eVC47+utng+u7Y+ts00Svau3fPvNA3XSh\nd1OUWsuEtRyTqG27RV/NvPZsffw4/4EcQJL2GVBbc6dKj0jPfvc9JbUo6nmkKvf4YpJ2zl73uc6g\nH6gwsll+Wh6bvKimNFz1ocM09Zr31zRPUhHoaILCtw31LaPR8ETUTVd+9MFDtXW/3jrtoIE6ZnDP\nw00tyZm/Yn3379ToQJS2q3G4USnz5jFofgKXXpM00t660gNSbl1jLs80Z8l/YJCk6y84pqDKfP63\n5YZkrea8YwsLv/lNPlauDzYgVS7bKRwWLrN9N1/k/UACRGnr/n30yWGDq74sKM43/po3HHm5WT8+\ndJD+dcnJJZ/X8mLiyg8eUrp8zxodpn59eqlXLyvqB61yGnM+d8voks+uOPsQvXH18IJRk/IDCOW2\no9YXL//7gYPLdmx6xsG76OpzD9P3339wyXf9+vTSew/ZVQ9ddkp3U6dN2abR6zbVNgRrEG+mgbj7\nf185UXdefELd8198ak8tIrOe/mLq9cbVwyvmI20DttaDX3uXLj/7kKrLsgae4Hv1ssA6E4671tjK\niBXU6KjzGukoak/rZ4i0wjTkmq5EE+n46LGDNOmqTAFinwFbdw/Z9k5eNfNq5r7TE+igRgei1K93\n7effNR8+vOH11nPaezWBqHf0BKlysDT31YBt+mvsFWfq1SvO1Hffd1D391v171N2/r94vKns42M/\n/0/e8qXCN7mXnV7bCCzVFO//L5+6r/791ZMK8qMN2SrhpxxQX3X2qIPSgCfrOSfL3X//77wjqw6h\nHGR6PH7taVZTxyJ79bKSJj19epXv0PAjxxQ2JfTrS6fuq/ccVDo0rJRJ/2dO2LtiJ8iH7LFdd+e1\nudp5d46eU1MaiHOgFQzYpr9O2Hfnmub55xeP1xfftY+e/e57Sl5UexWd/JbLPntSW0n+cmRe05Tc\nYg4ftH3FTpOLp5ekUw4YoAcr1P5oZQQ6miC/4F3vA3rxEGy1LiaKwvNlZxygWzzeWphZd8/oXtUz\ny3nvwd4FA6CS777voLprC5RX2wWYPzRfkKpdzjOvPbv7Gnt3g6M6jHj/ZN+pAwAAIABJREFUEN3w\n6WM985BcADW/8Lzj1v1KhsU2yfdQgUN221a7bFt+uNWccm8mt9uij4a21dbpczVb9u1dMPTwfrts\no6MHF3bsukW2gFLvg8R7s+dqcT8FQNT69+mli07cW3c18IbUS3GHxsX9pHo1Q8kvA63eWFqbIaiX\nIefm9YtUnI5fnHekJl/1vkDWU69cvv6lGvuvaPTNNJBWJ+8/QJf/1yEl/XVt1a9PadMVZWpp+HH5\n2aW1tPLVeknmp8W5wo7q0YNAR5PVe2v50JF7FHRKU+tNvKePjjoTUIdvn3mgTivz1qK7F+0a9siv\nP3FUAKlCq7n0PfsH0i9MvlpvSGENzVdLnzt75920y3VG269Pr7LBx/cevIuGH7abZ62w3HXc36Om\nWf6oU1JhJ4hL12wsmT739uXqcw8r+S7n9i+VDxzlAimff1dpW/9GmZl+/8mje/7O/t8nL6rRVeWt\ndzXHte2kmdeeTaEFgenTywrOUT+Km0KYMk1EfnzOYSXBvUYV1wIp7leoUmekYTvzkF27m68UVxXv\n3ctqHu47aAdkX4J5dVqYU9yJtUStWMCPCfNWSpL2Hbi1dtq6n2dfOF7lnmIfPHKPgiZxOflB3Xqf\n6zLLoQpoOcnpjSjBgmi6Ikl7bL+lXp+7sq55e3U3XYmJ7ocB/7MUvx0G/Aq6TJe7p5x5yK46bI+e\nAuau2/XXolWlD+9B6cgGDWZee7Yk6c5XZvued/ihu+m2l2ZpwDb9tdv23jUlvnPmgfryu/dT24j2\nku9y2+x1Px2wTT9944wDdM5RpQGU/Hagy9YW7puB2/YvaJImScMP203jrjxTO2xVvrbXSfuVDxz1\n69Ore/+EI6+PkQrV5KkajriY+OPaax1sKhqVY9aytTpxv9qqgNerOI/x7oy0+RdYHC/psw7dTY99\n69Tu4bG9/OYTR+nfY+cVfJbfV5pfx+69o3bcinIY0qu4ePPi9GWSpGVrMs3st+ib6Wsw12Ss+GXT\n3jtvpVnL1hV8ds9XTtShe3gHIv0EKG749DHaa6fS0eCKa3TAGzU6miCoUVd+8bHCMdLPO3ZQzVXi\n4xL1y70VjmPBAekT9Hn2+JRMD9cDt+2vb7z3gO7Pt6wyZGOjOhu4fHM1HfbcoXpzkEq8+vwwM33r\nzAO178DSUU7yOx9dv6nw4anccakU5GjEF0Oo5SGpYEP2yA4ZxxtTxMUWfXtXHU62WHETs4M9hmoO\nS2mNDo+mK1WWEcblV1xtPS4qBTlyJv34fd39IL1r/wHaZbva7wP3XnKSbroouBFmgLjx84j08bxh\nnIsDwl4154a27VS2yW5xMz0vww/bvWygpGc58Xi2iyNqdDRBYR8d9S9n26IaDbVUx+9eb8yuhVr3\nx18uHKrHaxxGCQj6ofOEfXfSyzOW6/h9Mn1A9PRREW5BeKuih5W6Luc605hbV3F/QdXk34DL3Yxr\nXWY9gqrlkb8JXkNZfnIYQyAi+Ybstp3OGLKLvnb6/lq3qbPqUNB+vHH1cA25YmTV6Xw1XamSjfl5\nqbRqg79RmXLB2pjGOXzZun+f7hGpouqUHoi7cmWUci+xigMYtTZlayRLoUaHP9ToaIYyvYM3NQkR\nj7pSrN6L8sxDdtXPzzui+oRAnqCvu1w/Frke+buyQf2wh+u68KS9C/6u6zqqMFOlgnyu6di2W2Ru\n5B8q089Hsa68VxbFbz9y+dLPPtL4iDTN4rX3cvtt5637UZMDqdCvTy/d/NnjdPTgHXVyQB3j+q1V\nUlyjy7PpisenT/33aZ7L+2Zerbt8R/zoUV/p6R6yNuF1ULtHzUn4dgBB+fNnjq34/QXHD5Ykffbk\ntu7PKpW7/IyWku9Pnz6mpunz5VceoUZHeQQ6mi2i+0tchyzkhotmCPrZM1eNcLftM53odTfFCvF0\n3qpf75Lqi80IXA5r20kPf+OU7n49OrLtZ7w65fKSXzVzU6e/pitJsV9RTZSYZa9AIv3KR21Vr7x2\np7wASf73foOy5eTenDYwKncsdHcCn/SMFwjIWUUj8uVe5OT0zwYu8l9ivb10Tffvxc9UW/evrUbH\n3jtvrdH/+17de8mJNc0nFdZUpuxRXsKz7WTIr17U6IP9XRefoO+ceWDN83WPutLQ2oMTl3SgNQTd\npOQr795P9116so7dO9N0ZfstM7Udjgqgenct/LTvLNbpI9r5yv+e0f173z5W0D4/N7/fQMe5R/c8\nZOTX6Dh8z+0bygcO3WM7ff30/RtYQn1yu+/IQdt3H2+eG4DgFNf8qJZ93/K543Ty/jsXPKTkz9Jo\neSPX4WBc++jwK/fWl1pnQEbxtXDBsMEFf+dGVOnbu2e63nkRz+JyUHHzYj8Gbtu/uyxZi/xVdxYV\nBg9pYp9Kcecr0GFm3zCziWY2ycy+mf1sJzN7zMymZv/fMfu5mdnvzWyamb1uZp71cszsWDObkJ3u\n95binDd/wxrdyuP33VlfP8O7GmYlvc20Zd/esRk7vbsKZTySg5QLuoDau5cVBDUG7biVHvzau/Tj\ncw4NdD1BWr4202v4xHmrqk7bv3fPzbo4LpK7ofrNS/bfpaejvNxQs49+61T980vHdz9A1HN02i87\nRd8566Cq0z38jVN0y+eC70Av1+ko0Gy/Oz9+Q61fctp+BX9f/6n6q2SX8uiMNO+j0w7aRf/84gnq\nlVfyz29u0y+gJoWJL650N10BUOyYwTuUDAH79dP31yWn7adPHNfT99bgvBFQoryWCmp0FBXUHvrG\nKc1OTmxVzf3N7DBJX5I0TNKRkv7LzPaXNELSE865AyQ9kf1bkt4v6YDsz8WS/lRm0X/KLjc37fD6\nNyM5onojsMt2W2jK1cP18ePoKA+tJ4ihPnfcqq+O3XvHst8fPmh7X+Opl/ObT/jvXLhbDW3R/KSt\nu8ZZ3v7as+iBPhfo6FXDTt1l20wTn+P3yQxPeeCu22q7LfrmVaUOL188ePftdNpBu4S2/HzFhQ0g\nDOcctWfUSSjxveFDCv7+wOG7B7Zsr+yhWlnqPUN26a5p12j28tXT9ve1zrjbZ8DWkqT3FlXXB+Bd\n82vr/n30veFDCspPcRo6/v5LT5Ykve+w3SJOSXz5CXMfLGmUc26dc65D0jOSPiLpHEm3Zqe5VdK5\n2d/PkXSby3hZ0g5mVnDHy/69nXPuZZcpGd6WN3+qxej6iFQz+jQAcoIooI698izde8lJvqfPb/7h\nx6kHDKw1STVVyc5VvTyurXywxuu6vOqcwwqmOXSPTJXId9XQQeGu2aEMi/sU6UpgzS7vESBynT0D\n8OOOL53ge1qv7MFPnr5VdkSERgOp//2+gzTz2rNrCu7GUduArfX6j87Sp48fXH1ioEW89+DMi5Ah\nu/lr7pGfneR+v/PiE/T8995TMu3TZTpIDsqRe+2gCT86S5e8e7/qE7coP72mTJR0jZntLGm9pA9I\nGiNpV+fcguw0CyXlQsR7SpqTN//c7GcL8j7bM/t58TQlzOxiZWqGaPDgZGbO+YXfJBXom4MdgvBF\ncd3tmO0Y7zMn7F1lygy/fV7kO67Nf7vOXJXM7bfsV3aaRyYt0sWn7td9VfbuZSXDpx09eEeNu/LM\nkpERKvn1x4/Ubx+fWtDXhyR9fOggjZ+zoqAqaLMENdys1PNA1Winh0CrOHG/nX1P6xWo8JNd3viZ\nobr5+RnaPRt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IFSP1wwcmNbTsj/7pRR14eWPbcPAVI3Xiz55oaBmVOJfZ1svv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\n", 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xmZ/UNei2UuYBU62klrUPrdFgU7nacDY2BY2qlbH6uj/vicHgFtVRrWyA6nZ5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\n2aUunswzZl0l2NfjO+BORo7qtrqVgnDiWrL8YSr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BxTmn4x6argtD\nrRN+9o+5Kij267Y3l6jnTe/qH7PXSpJ25VcMVvxl2iqd8fgs3fT6Ip362Cea/NVmvT5vgyY8OkN3\nvf21+t7ynt5csLHK7ahO5FGyVQQwCkuC6Tz4jkl6/KNVtV7+mws26oMlFfdNQ/po2Vb1vOndOvWT\n/XTVNv1z9tqYaZ+Fjo9VW+tWZjU1O/KKdfubS/a7pcGKLXv08IcrajTv93uL1POmd/Xpqm01mr/E\nH9CyzXv07ff51c8cxR+ofQ12T2HwOjS5XMDy4xp0s7rk+Tn6xUvza7yu8Pnr95elM/qMfvyjVVq8\nYVeV39+RV6xPVtZsHyaTp2es1pffVn3NXr8jmM97i0q1ZGP8Ao3vL96k/325UXe/83W1rezCcvcE\nj92atBYt8Qd0x1tfadveoromFai1NxdsjLRkSkbean6AWZMbHCvjxtcXV1n23/jaIp33zGeVttIY\neNsHGn7Ph5q3bnsl36xo6J2T9cKna2OmVVdWIfEIYNQD55x2RDXp3ltUqq17CqusROUXl9Zbf8PC\nEr/yi+vejL22tuwu0uMfrdZFz32hwhK/8qKCEDvyimvcBWHrntjKw96i0v2qSBeW+LVw/c6YZm3F\npYGYX8TD6SzxB7S73C/lO+rYJL/89/OKSiPdW8Kfbc8r1vuLN2l7XrFK/YGYG7Rd+SUKBJz8ARdz\nY7y7sKRC14a9RaUVmteF/92WV1Zhij4uAqFjsaDYr4LiYLremL8h8n9Y+Jh9b/FmbdldqPziUu0q\nKFGpP6BSf0Db84q1bW+R8opK5ZzTK3O+1Xc7C7R+e35kO2euzNWzn3yjI+6fqi27CzVzZa7uevvr\nSKCqsMSv9dvz9e33+fIHXExriCUbq660L98czNvKWmDc8fbX+tHTn0X22c78Yr0xf6NemL1O97+3\nTEf/4aMK39lVUKL/fblRK7aU3dAu2bhLl/9zXuQCGnb9awv1j9nrJEm3vfmVTnj4Yw29q+IvvH+d\nsUYL1u/Uy3PWa/HGXbrsn/N03X8WatnmPfr7rG9UGnC66uUFenL6aj02daX+9dm6CsuYu3Z7pKtD\n+HwI79vwPiwuDVR6nr02b4P+MXud9hSW6sFJyyPTS/0Brfs+r9rz8qqXF+iKf82vcF7WVLg8Kl8m\nRNuRFwwoLdpQeTP1v4QCL3PXbq/RjWhlZcZ5f/tcv3vzKznn9MGSzSoq9Ss/dKzvyA+eU+HjOmxn\nfrECAafCEr827iyo0fZWxR9w2plfHNkXVdmeV6xX56yv9DGiBcV+fb+3qMrvh7d7X/u6sMSvbXuL\nlLunSOu351caLP7t/5bohdnr9OaXZa2uyl/T9uXsp2brz1NX1igQvTCU58/MXFPp5+XLv3cWBSvh\nP/vHXBWW+CuUV2HRx0B0C5t13+ep1B/QK3O+jRz7VW3X/FBlNRAq12LLV6dvtuWpqDS4rz9f871W\nbtkTmWfqsq16d9Em5ReXakdeceQlSUs37daa3L0x14F/hCrLe4pKtT0qPfO/3aH3Fm/Sg5OW69S/\nfBKZ/tePV+uRD1fomRlr9PIX3+rQuz/U/z37uQqK/dqVXxIpU8OKSoPdLz5YslnfbMvT3nLXI+fc\nPo+bmoi+xkmKnE/ffp+vT1dv08rQtTh8LkjSfe8t0w+e+DSyL8J/w8sK529dW9k55/TOou8ix1L5\nsvLKF+fr6lcW6NlPvtENry1SIOC07vu8yHWyvPziUs0OBUCr6pJZ6g9oytdbNGftdl3/n4V6/tO1\nuvPt2PGnwuVRdGBj3rrtMUGUcBlavnxauH5nJKhVWR2mNnYVlFRatoavO/tTp6xrHaq8Un9AW3YX\n1qibcPlyozLhOpYUPD/2FpVWWz7HfL9cfkSfPx+vyNXeotJK98H2vGI9OX31Pus25RUU+2PSFa4v\nFhT7tXV3oXbkFWvrnkJt2V1Y4RzeU1iiq15eoCtfnK85a7dHrmXh+vC8ddt1+uOzlFdUqjXlfoAs\nv41SsEzatKug0vuW7VHl3M78Ys1Ykat13+fF7IfwtkTnT2GJv8r9vqugJOZ8uPbVBdqVHzxed+QV\na3tesdbk7tUrc9fr09Xfa0YVj+DetrdYZz05u8L09dvzIy1Zo9d5+1tfxUwLl1WBgNPa0OCj4XPz\ngyWbK+yn+hS+zkTLKyrV9BreNy7ZuCth3QAbki/RCWgKXvriW9363yWafM0Y9e+YFWlWfulRvfTb\nUwZVmP+m1xfrrYXfaep1Y9Unp2Wd1j3i3inaXViqtQ+cXKfl1Fb4pjoQkCY8OkNrv8/X2gdO1rLN\nuzXh0Zn6/VkH60eHd6/y+49/tEpvL/xOeeUulINvn6QhXVvprV8eVav0HPPgdG0OFXrhffHjZz7T\nvHU7Iu/HPzJD327P17EH5uij5bmR6Us27tIpj32iP549VD88rGut1isFKyBnPTlbT5w/TBMP7ixJ\nOuj2SerWtplunDBAv3zpS73x89E684lPg58dkK1BnbP1n3kbIssYetdkXT62t4pKAnr+07X6+q4T\n1TzdpyF3TNbJQzrr8fOGxewjSfrtyQN16dG9JZV1IVmTm6ePV+RqbP8cDbqtrHvDQx8u129OHKCB\nt30gj0k3nTRA9723TA+8v0xf3DouMl+4lcMXa7dr5H1lA0v+aHg3lQacXp9flubzR3bXi5/HDkC6\n9oGTdVFUX9roZfx91jda+8DJOvoPHyl3T7ACd+GoHmrVPD0yz13vfK2fHtWr0v18//vLJFXsJvNe\nuV8ahpRrOv5KFc0Qh95ZMQBxymOfVDKn9O6i2HWsrOOv+L//YFmVn/3wqdlq1SxNC28fH9NF5S/n\nHRr5f/g9UyRJd5waW75UdcP/o6eD58Kdpx2kC0f3rHSe6GDfDx7/VLNuOq7a7SjvsLs/VF6xXx2z\nM7Rld1GFcumN+Rtiuursq9y65IW5+umRvXTbqRXL0GiDb5+kgw7I1ru/PrrCZ5O+2qwr/hX7y/jv\n/rdEU5du0fTluTp16AF67MeHauvuQo24b6quPaF/pDXBsrsnKDPNW+02V+bBScv11MerJUlZGT4t\nvvPECvOs354fE1hbdMd4ZWemRd4PvO0DSVLH7Ax9fsu4Ct8ffPskHdyllfKKS7UmN6/SfXnU76dp\n297YSnX0fLsKSiKtkUoCZRWyZ2au0X3vLdPMG45Vt7bN97mt4cpgTXo1VRfX/sMHy/TXGWu08Pbx\nMcHo5Vv2RI6tyrZz8O2TNKhztnrntIgEPSRp7IPT1bp5mnbml2h3Qan6dmypi5+bo39eMkJH98uJ\nWcYvX/pSUjA4f+Pri/VaVPl8xhOfVlohjC6DJcWUuZL0/lVH66Q/zYy8/+PZQ/W3mWu0bHPl/cfD\n14iwf362Tj85okek7CvvD5OW6bmoAYnn/Xac2rXM0MQ/zdTqckHYvh1a6s/nHqqJf56pP/xwiB75\ncIU27Src77pD+Bo384bjVFwaqLQ8XfvAyfrj5OV6cvpqLbjthMj0Q+/+UD8/po+emL5az198uC56\nbo56tmuutaFfWz9aVrcfeN5a+J2uenmBJGnKtWM07uEZuueMwfq/I3pUmDfgnO55d6n+Pusb/fCw\nrvrj2UMrzFM+Xytz/X8W6n/lul6WDxi/u3hT5Dibcu1Y9e3QUmc9OTumjBh539TIjxtnHtpFD//o\nEEmKdOtZ+8DJuvJf8zRl6db9yrvCEr+G3jlZPzmih+4+Y3DMZ6c89om+uHVcjbY32nuLN+nnL87X\n61eO1mE92tQ6TZUJ78/wtXBf7n7n65h6U3m7CkoidaybTxqoMx7/VEs3BQOd7Vuma+5vT6jwnfKG\n3jlZPzi0ix4J5cfxD32sjTsL9MmNx0Zaa0rSO786SoO7tIq8H3Z3sBvU7z/Y9/Uu2sDbPlDLDJ+W\nhI6Jyo6taNHLje46d/ZTsyOfX/TcF/o0qvXQQaG6xdXj+unqcf0VCDgNvXOyzhrWVQ+dU3YOnPnE\np0r3enTi4E56e+F3mnbd2Arb9ulNx2n0A9Ni0hSuD4evY9FuemOxHpu2qtI6RvlypMQf0NC7Juvo\nfu01s5JWZ//6rOaD4G/YUXbNDe+z6oICJzzysVbn5umZC4br+v8sjJyb153QX786vl+N110bpz02\nS8u37InJ1+teXagPvtpc7TV58YZdkeB3Q98XNjRLpscJDh8+3M2dOzfRyai1nje9G7dl9+vQUh9e\nO7bKz8PrnnXTcTrygWmaffNx6tyqWdzSE/bQ5OV6bFrtm6gDAJBo5St38byOAw0pfGzH65gufxPF\nuQMkn9X3Tay2u04yMrN5zrnh1c0X9y4kZjbBzJab2Sozuyne62tqavpL75Gh6Oeo+6dVM2f9IHgB\nAACQfPZnHJiaqqxLJoDk8sqc6gdBbcziGsAwM6+kxyWdJGmQpB+b2b7bAwMAAADYL/F4/C+AxuP7\nJj6IcLxbYIyQtMo5t8Y5VyzpZUmnx3mdAAAAQEpK8zJGP5DKvq/ngXWTTbxLuC6SotuwbAhNizCz\ny8xsrpnNzc2t/nFlAAAA9SWZxgID6oOvEfZ9B1B/mqXv3yDkjUXCQ7TOuaedc8Odc8NzcnKq/wIA\nAEA9KfETwEDTYnV8FC2Axu3ofu0TnYS4incAY6OkblHvu4amAQAAJFxjHKkdAICqjO5DAKMu5kjq\nZ2a9zCxd0rmS3orzOlPSGz8fLUl69sJqnzwDAABCCGCgqejRrnn1M9XRfT84OO7rAIB9sXj3/TSz\niZIeleSV9Hfn3L1VzTt8+HA3d+7cuKYnXopK/SosDsjnNeXuKdIxf5yuEw/qqD+de2hkHp/H9Odp\nq/TnqSvVuVWmNu0qjHz2kyN66JaJA2UmecyU5jWV+J3SffuOMZX6AzKzBq+AbdldqJH3TVW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uUeQuOgKatclSTpelY919sKNcp2AGniNPEPAYwM+R3Nr4woPhBS\ng50yad/k+1BhCJKG2N1U4s0OQCXOo1zxFK6cqv+zsWp51GDXISBN3Ov4iwAGvBOlVUc9B4OAoHw6\nzlPrQuLRNtZSk242Ysj66XmtVl+pTCj7U4jERRvE0y/NWm4CaE4EMDyQdSUkjiSTzptEgHhSP4VK\nLN/n8itq2sI9s/V4B6AhcaUML+nWVJz1AJAdAhiIJoUaVLO80x7NqZY3HbU4l5oh4FiLIoliD2Fx\nyIw0osyzYf81jao9SFLcIQRzAdRKpACGmd1kZtvM7Jkyv5uZ/dLMVprZQjN7bbxkNjaK/OGivYWk\n2aopQGNL4saeshVIT62uupWu70EDqZXKk6DL8Dlom2XKPN4tQCJ40OCfqC0wbpZ0QYXf3yPp9Ny/\nSyRdE3E9demG6av104eWV52ungv9uc/tkiT19cc/qz9z82w9tWqH15UDICjnnP79ljl6bEV7xelO\nv3ySdh3oDrzcT1z3tLp7+wNNe+/8TZq4YJP6+53++ebZeuUVk/XUqh2h1rVk096K01Rq5TF//e7A\n65Kk1oWb9eU/LZDkR7kYJg1BKjar2verZUJryTzwYXtRX2p5yPxiyrO6Ztqqsr//+MHlOvNrk2uY\nonDW7eiQJO3v6qk6bZjajHPSpXcu0G0zn9NHrpmh9Ts7IqZwpBVb9+ljv31KB7v7Yi3nYHefPvbb\np7R8y77B74qPneJt/ui1T8VaJ9BIuD77K1IAwzn3uKSdFSb5oKQ/uAFPSzrGzE6Msq569O3Wpfrl\noyuzTkaqvnTHfElSR8wLrCQ9smybPnvrnHgLoZCBRyYv3qKLb5pVcZqePqe/zN8YeJlPrd6hbfu6\nKk5T+KTyC7fP0/7uXj26bJs6uvtCnWNPrd6hK+9bHGjaUs2G/+euhYHXJUmfu22u7p67IdQ8aUr6\nacu//qFNkvSJ659OdsFAyn42ZYV+MHlZyd+cpKun+lXXKS6PJi/eIkl6dFn5gHLUQTzvmrNBX/3z\nIs1Zt0u/qRDkCetb9y/RzDU7NWttpWp2GQWF16y1OzVzzU59u3VJ4NnnrNsVfp2AZ3768ApNf7by\nQ6QgwtYFfvrQcj25cnvs9aK6MSkt9yRJ6ws+b8h9t7l4QjO7RAOtNHTqqaemlBy/1ePYD2m2lqjD\n3QFUVeqc8fpQL5G4wi0ws1RP1iT6U9dkDIsA01QqLSnvEFWzjDkQ5S0kxd1O6rGeFQYtWIEhv3zk\nWUnS2u9fmMjygp5ev3x0pdTgD7B9kfkgns6565xz451z48eNG5d1cmqqnsdtSCPl9bs3AP8lXX9P\n7TWqHpQESd8LBLq5yH6zUSe4V01HqLeQjJi4PgIkxWVRkuV4g8eIAHgkrQDGRkmnFHw+OfcdGoRv\nFSjPkoMmFq4SnF46pHjnReCnuyUm8+XJsC/poHwC0hWnLA1an6l1vSfK6gp3Q80GWfWtQggkjOCc\nf9IKYEyU9Mnc20jeJGmPc25E95FmV99lfopdSDy56QCSVIvTvVKZknSLiWaotAYqiwLs1ybYVchC\nxpdKH7plJHluxdmeJHdFlGUF7aZGUQQEx7XbX5HGwDCz2yWdJ2msmW2Q9A1Jh0iSc+5aSZMkvVfS\nSkkdkj6dRGIblQd1AC/EKSgoZFCP0j714wQZSpVLgV83mEA1OZHXqEZeRrIFig/dYtA4OJ7Cq/ga\n1YD7s3C6WlTb4tZrqBcBaFSRAhjOuU9U+d1J+lykFDWRer641HPagTT5Go+sZbritKKqt7Il0CCe\ndbZNQBA+tcLKlzlZPRBKtAVGjPKzVDoKl+dRlgFAZJkP4gkUo0UKGkGQimLaTbDjjYEBdgJ81iyH\nZ6VASbnWE8WzBCqPQ6SpFvWUMC1tSm1frVvqNMvxCCB7BDA8UI9jPhDEByorruBm/uSrzoqZLJOb\nyVtIgICa9XCKs90VAw5Bl1uj/Z78G6OSXV6xJj0c0UR8GO8HwxHAyBD9WIdQNqBR+HShi1fhj9EN\npInKtiC7qeIAe/UWWULmfClial3WVVpdtaQEOc/ibE4a53GU8rtad5FmKpuBuDhb/EUAwwO+VEbC\n8O0JEBdloLIkiplSZ1mp5fpyUx73BiuprQhSXlKGAaVVOjOSqItEaYDhSxmXV6n8qMc6JpC07t7+\nrJOABBHAyJBvQYAsmVGBR2MZ0Qe7xDRJVyyLuyrEOaeauc4bZq8FuZEJ1v++mfc4wmjWukOzbndU\ntd5dBErgszO+9kCg6eav351ySpAEAhiIJOlgAxc+IF0+dW0Jot7SWwnBWSC+OF1IAi3fkyBirK4s\nVd5CkuS6BlG8oYHMf25X1klAAAQwEvLZ/52jlgmtapnQWvL3lgmtunLiYr3tx9P0yZtmaU9Hj971\ns8clNcaTzi/+cZ7OueqhYd9d8oc2vem7j4Re1qw1O9UyoVUrt+0PPE+tnszs7exRy4RW3dm2DIl/\nwwAAIABJREFUfvC7f/l9m879/qO1SQBKOvNrD2jC3QszTUN/v1PLhFaddvnIKP93Wpfo3vmbRn4/\naakk6Ut3zNdfX/ngiN8vunZGrDRt2ds5+PeB7j719QcvbYJWbEtNt2Lrfu060K1py7epZUKrNuzq\nGPztzrb1apnQqr2dPfrrKx/Ue38xfdi8+VYkn/rdbO060B04vaWs2DpUhqzbcUAtE1o1Y+X2stM/\nuXK7Wia0atu+LkkD2/aft8/Tyy4bKNv/Mn/jiHl+PXWV5qwbXuG55el1apnQqoPdfbltGvqtZUKr\nevpGNmUlyIHZa8Nd+6LefP7ykWfL1lXCeG5nR/WJilz/+Gq1TGhVb4lzoJow1/lrpq3Siq37Elnu\nH55aq5YJrZq5ZufQlzV5C0kwP5i8TO+/+onoCwBQUSPcpzUaAhgJeeCZLVWnuXnGWq3ZfkCPr2jX\n2h0HapCq9BRf8P8yf5N2d/QM++6hJVuH3UBVXV5umRMXDNzozVhV/kYjKxt2HpQk3fjEmsHvpizd\nqo27D2aVJEjq6u3XH2evrz5hinr6y1fIr5++puxvknTPvI3a19k74vvZa+M9CVi4YXhTyFI3zmGE\nuYFYvf2A/pQL9C1Yv2fw+xty+2LT7oPa19mrJZv3ll3Gmpjl5BMFwYr8zcc980YGIfLumTvyt/sW\nbFI+7nPzjLUl53tg0eZhn38zdaUkaVfHQACmeLcd7OmrlGw0qYnzg1374gbsf/rwingLyJm9dmf1\niYr8fMrAujsj9EevFOQrtU8eX9E++HegYE+ZaX6dO58rzprhHc4101ZV/L2BGrMBqeN0qQ8EMDzQ\nSE2loyrcBewOIJokH7jFPw1dwV8jlxbkPE+jLEhlmdW+L7q7ooxDJYFbP2Vc1Y7X1SH8zKl3hfBE\nnHwt3A+06gKSwZnkHwIYGan3wajSSH6cZdZqd9Z7viE99VBZrHUlP79PhlWqrXJaim71E0xLfonl\nl1l8fhdPG/ZtBfmbtIqvUW2gGy/EE/T6klRZk8VbevJdxMLMW2m/FP9UuE1BNy/K/ixedCqncUKX\nlFoVMVkH1AA0DwIYGSm8YFLk119ggJsOFKu3Y7iqgAd5uUqrc4pdAY97nhWuvvgNLdWmL/l7mWUU\np3PE22BG3GVVTQqaWCO3yoz3oCLdtyr5steTyv5aXZPqIXgPoLEQwEAkQW4Gwig5cnaIi3jS6Sm/\nnpqsBoik2vGZ1RMyX24MJNU0MfkybGT8YigRlCnIC3soxL3RzXL+KPNW7EJSqptaYTe2CitM4hxM\nI+aURMuQ8l/mf/KqdAa8xFniHwIYGaHSWp7PF9TBJvEepxHZqIdTOkwlu9SkYSvUxV0pwkryLAuS\n8hFdSIpbVkRdNwU+Qqh23PtyOEU6r4f6coWeJeyPYd+kFKp8TLEKkNSiPTlMgLrFtdtfBDB8wL1w\nSZQbgP8qVeQrXfzLBQELZ4ndhcRG/l1pkdUCNIHHKCiabmQ//dJ/A0EkdcxkcegFGYum/LxUCqLg\ngQuARkMAA94K1YUkvWQAkfh4TIapxsZuXq7S+yDrJxppNCWvOA5IwOUSsEWtZTHWRpzzP+xbSIJu\nXT5JjXAOFuZpkH2d5CFAMBZArRDAyMiwp4zZJSOyNC709VR54EKNanw8RLIaHDDqapNMb5TypXjt\n5Z4AjxzEMz9//i0kdVS4ITODb+ioctjHvVYmda2t1RgYlW7EK51bw1o6JZymWrRq8CGfgqinuhuA\nxkAAIyNUaBNWq9G2ybam00hvBAjVAqPE1GGP/+Ib+WHLD/Aa1TT2fMUuJAmd3yPK9xGvZx2pgQ4z\n1Im4h1ykbiABunLFEWlYjiQG8Uxyi+rsLSRAo+P67J/IAQwzu8DMlpvZSjObUOL3T5lZu5nNz/37\nl3hJhU+SvjBa2nctCauDJCJjjV53DBLYKdmFJPmkBErB4AC8FZNdJXUhE1/uLSRAJUGvL1GvQ0OD\n60ZcQIz545wLldZXMihY51fqpMqNSnuhvvcQkDyCFfVhTJSZzGy0pF9LeqekDZJmm9lE59ySoknv\ncM59PmYaG9Lwgeo4W5yrj1Yp/qcQzazaOVTLUfaTGKgyyaIxUheSogQEXUTxU+aRbzeJ37oFjadW\nx4CZZV5LD1PvqbRbKu2zsJsYJuAxYtmJNsBIZmEUKQAaVdQWGG+QtNI5t9o51y3pj5I+mFyyGkPL\nhFa96buPqGVC64jf3vOL6YN/r93RoesfX13LpMVW7kbp7jkbSn7/w8nLNGPV9orLPNjTJ0m6Z95G\nSdI3Ji5WT19/wPRE19Hdq/+8fZ627+/Shl0d+u875qurt6/0evI3JgSdmkZ/0FfxlZjvvgWbQq2r\nt69f/3zz7FDzVPLDycuHfxHzsN24++CI7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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -387,15 +387,18 @@ } ], "source": [ + "from pyFTS.common import Transformations\n", + "diff = Transformations.Differential(1)\n", + "\n", "fig, ax = plt.subplots(nrows=3, ncols=1,figsize=[15,10])\n", "\n", "x = train[\"datahora\"].values\n", "\n", "ax[0].set_title(\"Humidity\")\n", - "ax[0].plot(x, train[\"humid\"].values)\n", + "ax[0].plot(x, diff.apply(train[\"humid\"].values))\n", "\n", "ax[1].set_title(\"Atm. Pressure\")\n", - "ax[1].plot(x, train[\"press\"].values)\n", + "ax[1].plot(x, diff.apply(train[\"press\"].values))\n", "\n", "ax[2].set_title(\"Rain\")\n", "ax[2].plot(x, train[\"rain\"].values)\n", @@ -404,6 +407,51 @@ "plt.show()" ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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vVT5JRqr6To73M7duv32xZ+f2XHfVZdne553T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\nAAAAAEAnEswAAAAAAHQiwQwAAAAAQCcSzAAAAAAAdCLBDAA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QcAACAASURB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\nokZHUjr8/VN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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def comparevars(ax, x,y, x_lab, y_lab, title):\n", + " ax.scatter(x,y)\n", + " ax.set_title(title)\n", + " ax.set_xlabel(x_lab)\n", + " ax.set_ylabel(y_lab)\n", + " \n", + "from pyFTS.common import Transformations\n", + "diff = Transformations.Differential(1)\n", + "\n", + "data = test\n", + "\n", + "rain_diff = diff.apply(data[\"rain\"].values)\n", + "humid_diff = diff.apply(data[\"humid\"].values)\n", + "press_diff = diff.apply(data[\"press\"].values)\n", + " \n", + "fig, ax = plt.subplots(nrows=3, ncols=2,figsize=[20,20])\n", + "\n", + "comparevars(ax[0][0],data[\"humid\"].values,data[\"rain\"].values,\"humid\",\"rain\",\"Humidity x Rain\")\n", + "comparevars(ax[0][1],humid_diff,rain_diff,\"humid diff\",\"rain diff\",\"Humidity x Rain\")\n", + "comparevars(ax[1][0],data[\"press\"].values,data[\"rain\"].values,\"press\",\"press\",\"Atm. Pressure x Rain\")\n", + "comparevars(ax[1][1],press_diff,rain_diff,\"press diff\",\"rain diff\",\"Atm. Pressure x Rain\")\n", + "comparevars(ax[2][0],data[\"humid\"].values,data[\"press\"].values,\"humid\",\"press\",\"Humidity x Atm. Pressure\")\n", + "comparevars(ax[2][1],humid_diff, press_diff,\"humid diff\",\"press diff\",\"Humidity x Atm. Pressure\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -468,20 +516,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "2018-03-05 00:04:52.317628\n", - "2018-03-05 00:04:52 pycos - version 4.6.5 with epoll I/O notifier\n", - "2018-03-05 00:04:52 dispy - dispy client version: 4.8.4\n", - "2018-03-05 00:04:52 dispy - Storing fault recovery information in \"_dispy_20180305000452\"\n", - "2018-03-05 00:04:53 dispy - Started HTTP server at ('0.0.0.0', 8181)\n", + "2018-03-06 12:07:39.412804\n", + "2018-03-06 12:07:39 pycos - version 4.6.5 with epoll I/O notifier\n", + "2018-03-06 12:07:39 dispy - dispy client version: 4.8.4\n", + "2018-03-06 12:07:39 dispy - Storing fault recovery information in \"_dispy_20180306120739\"\n", + "2018-03-06 12:07:39 dispy - Started HTTP server at ('0.0.0.0', 8181)\n", "\n", " Node | CPUs | Jobs | Sec/Job | Node Time Sec\n", "------------------------------------------------------------------------------\n", - " 192.168.0.110 (petronio-notebo | 4 | 201 | 14.465 | 2907.544\n", + " 192.168.1.22 (petronio-noteboo | 3 | 20 | 0.741 | 14.815\n", "\n", - "Total job time: 2907.544 sec, wall time: 736.044 sec, speedup: 3.950\n", + "Total job time: 14.815 sec, wall time: 5.951 sec, speedup: 2.489\n", "\n", - "2018-03-05 00:17:08 dispy - HTTP server waiting for 10 seconds for client updates before quitting\n", - "2018-03-05 00:17:19.663577\n" + "2018-03-06 12:07:45 dispy - HTTP server waiting for 10 seconds for client updates before quitting\n", + "2018-03-06 12:07:56.086223\n" ] } ], @@ -490,30 +538,30 @@ "data = test \n", "_range = data['datahora'].values\n", "print(datetime.now())\n", - "forecasted = model.predict(data, distributed=True, nodes=['192.168.0.110'], num_batches=200)\n", + "forecasted = model.predict(data, num_batches=20, distributed=True, nodes=['192.168.1.22'])\n", "print(datetime.now())" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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/sNM8chCAS1OsM0VKear279H0k0V+MW7pdlzS73NMX7srZ2nYWd8CANhW25yzNBSrig01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\nRyAKCRoVnp/JsI1THNVhtg+W8RyHejug4Hs8ezou3+iE9GS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MZOx3ZE4k0+b26Pzz0fDyrzr1a4kkS0ayB5ByOmpEUl9jrXCbQu1o178DZQf0/NhEnGRk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\naAOYcqwdZ11qx4e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imbaRM+1YvgbpYYsft5K15kbY/KFl2gpHwogZkF0MHzxkj1OmTbrD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\nV2vtoiS3JnnfvCcKAACwinbPsM9lSQ611p5Ikqq6M8lVSR6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"text/plain": [ - "" + "" ] }, "metadata": {}, diff --git a/pyFTS/tests/multivariate.py b/pyFTS/tests/multivariate.py index 9f3b62d..59bd1fc 100644 --- a/pyFTS/tests/multivariate.py +++ b/pyFTS/tests/multivariate.py @@ -17,7 +17,7 @@ from pyFTS.models.seasonal import partitioner as seasonal from pyFTS.models.seasonal.common import DateTime bc = Transformations.BoxCox(0) -diff = Transformations.Differential(1) +tdiff = Transformations.Differential(1) np = 10 @@ -38,10 +38,12 @@ vhour = variable.Variable("Hour", data_label="datahora", partitioner=seasonal.Ti data=train, partitioner_specific=sp) model.append_variable(vhour) -vhumid = variable.Variable("Humidity", data_label="humid", partitioner=Grid.GridPartitioner, npart=np, data=train) +vhumid = variable.Variable("Humidity", data_label="humid", partitioner=Grid.GridPartitioner, npart=np, data=train, + transformation=tdiff) model.append_variable(vhumid) -vpress = variable.Variable("AtmPress", data_label="press", partitioner=Grid.GridPartitioner, npart=np, data=train) +vpress = variable.Variable("AtmPress", data_label="press", partitioner=Grid.GridPartitioner, npart=np, data=train, + transformation=tdiff) model.append_variable(vpress) vrain = variable.Variable("Rain", data_label="rain", partitioner=Grid.GridPartitioner, npart=20, data=train)#train) @@ -53,7 +55,7 @@ model.target_variable = vrain #model.fit(train, num_batches=60, save=True, batch_save=True, file_path='mvfts_sonda') model.fit(train, num_batches=200, save=True, batch_save=True, file_path='mvfts_sonda', distributed=True, - nodes=['192.168.0.110','192.168.0.106'], batch_save_interval=10) + nodes=['192.168.1.22'], batch_save_interval=10) #model = Util.load_obj('mvfts_sonda') \ No newline at end of file