... (lines omitted) ...
Iter 1766: *(NumConst=122, SV=37, CEps=0.1768, QPEps=0.0807)
Iter 1767: *(NumConst=121, SV=38, CEps=0.1595, QPEps=0.0788)
Iter 1768: .........*(NumConst=122, SV=39, CEps=5.2907, QPEps=0.2073)
Iter 1769: *(NumConst=122, SV=39, CEps=1.0354, QPEps=0.3203)
Iter 1770: *(NumConst=122, SV=39, CEps=0.9127, QPEps=0.2238)
Iter 1771: *(NumConst=121, SV=39, CEps=0.5441, QPEps=0.2203)
Iter 1772: .........*(NumConst=121, SV=44, CEps=4.3768, QPEps=0.4524)
Iter 1773: *(NumConst=121, SV=47, CEps=1.2498, QPEps=0.3577)
Iter 1774: *(NumConst=121, SV=49, CEps=0.8549, QPEps=0.3448)
Iter 1775: *(NumConst=121, SV=45, CEps=0.7424, QPEps=0.3063)
Iter 1776: *(NumConst=122, SV=45, CEps=0.5190, QPEps=0.2565)
Iter 1777: *(NumConst=123, SV=54, CEps=0.5234, QPEps=0.2561)
Iter 1778: *(NumConst=124, SV=55, CEps=0.5198, QPEps=0.2506)
Iter 1779: .........*(NumConst=125, SV=55, CEps=2.1033, QPEps=0.4515)
Iter 1780: *(NumConst=126, SV=54, CEps=0.3933, QPEps=0.1608)
Iter 1781: *(NumConst=127, SV=55, CEps=0.4802, QPEps=0.1946)
Iter 1782: *(NumConst=128, SV=51, CEps=0.3253, QPEps=0.1457)
Iter 1783: *(NumConst=129, SV=50, CEps=0.3992, QPEps=0.1502)
Iter 1784: *(NumConst=130, SV=50, CEps=0.4953, QPEps=0.1546)
Iter 1785: *(NumConst=130, SV=47, CEps=0.2659, QPEps=0.1180)
Iter 1786: *(NumConst=130, SV=45, CEps=0.5734, QPEps=0.1255)
Iter 1787: *(NumConst=131, SV=48, CEps=0.2334, QPEps=0.1150)
Iter 1788: *(NumConst=132, SV=49, CEps=0.2688, QPEps=0.1021)
Iter 1789: *(NumConst=133, SV=44, CEps=0.2497, QPEps=0.1017)
Iter 1790: *(NumConst=134, SV=45, CEps=0.2989, QPEps=0.1082)
Iter 1791: *(NumConst=135, SV=45, CEps=0.2435, QPEps=0.1115)
Iter 1792: *(NumConst=135, SV=44, CEps=0.2271, QPEps=0.1060)
Iter 1793: .........*(NumConst=136, SV=45, CEps=2.6243, QPEps=0.4213)
Iter 1794: *(NumConst=136, SV=49, CEps=0.7042, QPEps=0.2606)
Iter 1795: *(NumConst=135, SV=48, CEps=0.3831, QPEps=0.1513)
Iter 1796: *(NumConst=135, SV=45, CEps=0.3170, QPEps=0.1487)
Iter 1797: .........*(NumConst=133, SV=46, CEps=1.0734, QPEps=0.2847)
Iter 1798: *(NumConst=134, SV=46, CEps=0.5804, QPEps=0.2536)
Iter 1799: *(NumConst=132, SV=51, CEps=0.3644, QPEps=0.1657)
Iter 1800: *(NumConst=133, SV=50, CEps=0.3131, QPEps=0.1557)
Iter 1801: *(NumConst=130, SV=48, CEps=0.2972, QPEps=0.1456)
Iter 1802: *(NumConst=131, SV=44, CEps=0.2326, QPEps=0.1161)
Iter 1803: *(NumConst=132, SV=49, CEps=0.3052, QPEps=0.1148)
Iter 1804: *(NumConst=131, SV=42, CEps=0.3029, QPEps=63.7470)
Iter 1805: *(NumConst=131, SV=52, CEps=0.3027, QPEps=0.2251)
Iter 1806: *(NumConst=130, SV=42, CEps=0.3066, QPEps=0.1160)
Iter 1807: *(NumConst=129, SV=41, CEps=0.2259, QPEps=0.1091)
Iter 1808: *(NumConst=128, SV=43, CEps=0.2323, QPEps=0.1849)
Iter 1809: *(NumConst=127, SV=41, CEps=0.2853, QPEps=0.2195)
Iter 1810: *(NumConst=128, SV=38, CEps=0.2748, QPEps=0.1024)
Iter 1811: *(NumConst=128, SV=49, CEps=0.2046, QPEps=63.7702)
Iter 1812: *(NumConst=129, SV=41, CEps=0.3564, QPEps=0.0978)
Iter 1813: *(NumConst=129, SV=35, CEps=0.1586, QPEps=0.0784)
Iter 1814: *(NumConst=129, SV=36, CEps=0.1349, QPEps=0.0669)
Iter 1815: *(NumConst=127, SV=38, CEps=0.2156, QPEps=0.0637)
Iter 1816: *(NumConst=128, SV=34, CEps=0.1685, QPEps=0.0666)
Iter 1817: *(NumConst=129, SV=32, CEps=0.1999, QPEps=0.0659)
Iter 1818: *(NumConst=129, SV=35, CEps=0.2018, QPEps=0.0666)
Iter 1819: *(NumConst=130, SV=33, CEps=0.2016, QPEps=0.0666)
Iter 1820: *(NumConst=131, SV=33, CEps=0.1472, QPEps=0.0647)
Iter 1821: *(NumConst=132, SV=34, CEps=0.1372, QPEps=0.0617)
Iter 1822: *(NumConst=132, SV=34, CEps=0.2886, QPEps=0.0670)
Iter 1823: *(NumConst=133, SV=34, CEps=0.1778, QPEps=0.0660)
Iter 1824: .........*(NumConst=131, SV=35, CEps=1.8231, QPEps=0.3126)
Iter 1825: *(NumConst=131, SV=37, CEps=0.3329, QPEps=0.1518)
Iter 1826: *(NumConst=131, SV=37, CEps=0.5350, QPEps=0.1655)
Iter 1827: *(NumConst=132, SV=41, CEps=0.3290, QPEps=0.1446)
Iter 1828: .........*(NumConst=133, SV=42, CEps=1.0281, QPEps=0.3772)
Iter 1829: *(NumConst=128, SV=43, CEps=0.6506, QPEps=0.2880)
Iter 1830: *(NumConst=128, SV=39, CEps=0.3760, QPEps=0.1723)
Iter 1831: *(NumConst=126, SV=39, CEps=0.3486, QPEps=0.1554)
Iter 1832: *(NumConst=126, SV=36, CEps=0.2206, QPEps=0.1100)
Iter 1833: *(NumConst=126, SV=37, CEps=0.2630, QPEps=0.1096)
Iter 1834: *(NumConst=124, SV=37, CEps=0.1639, QPEps=0.0677)
Iter 1835: *(NumConst=124, SV=33, CEps=0.2601, QPEps=0.0807)
Iter 1836: *(NumConst=125, SV=36, CEps=0.1966, QPEps=0.0813)
Iter 1837: *(NumConst=125, SV=36, CEps=0.1308, QPEps=0.0641)
Iter 1838: *(NumConst=123, SV=34, CEps=0.1550, QPEps=0.0634)
Iter 1839: *(NumConst=124, SV=35, CEps=0.1259, QPEps=0.1166)
Iter 1840: *(NumConst=124, SV=35, CEps=0.1864, QPEps=0.0569)
Iter 1841: *(NumConst=124, SV=34, CEps=0.1448, QPEps=0.1878)
Iter 1842: *(NumConst=125, SV=37, CEps=0.2061, QPEps=0.1281)
Iter 1843: *(NumConst=126, SV=32, CEps=0.1403, QPEps=0.0509)
Iter 1844: *(NumConst=125, SV=30, CEps=0.2480, QPEps=0.0576)
Iter 1845: *(NumConst=126, SV=31, CEps=0.1060, QPEps=0.0492)
Iter 1846: *(NumConst=127, SV=33, CEps=0.1269, QPEps=0.0475)
Iter 1847: *(NumConst=126, SV=33, CEps=0.1056, QPEps=0.0511)
Iter 1848: .........*(NumConst=127, SV=40, CEps=2.6645, QPEps=0.3916)
Iter 1849: *(NumConst=125, SV=42, CEps=0.8401, QPEps=0.2960)
Iter 1850: *(NumConst=124, SV=38, CEps=0.4979, QPEps=0.1962)
Iter 1851: *(NumConst=123, SV=38, CEps=0.4782, QPEps=0.2294)
Iter 1852: *(NumConst=123, SV=36, CEps=0.4214, QPEps=0.2022)
Iter 1853: *(NumConst=123, SV=35, CEps=0.2682, QPEps=0.1328)
Iter 1854: .........*(NumConst=123, SV=36, CEps=0.8981, QPEps=0.3815)
Iter 1855: *(NumConst=119, SV=39, CEps=0.3374, QPEps=0.1664)
Iter 1856: *(NumConst=118, SV=33, CEps=0.2673, QPEps=0.1209)
Iter 1857: *(NumConst=119, SV=39, CEps=0.1911, QPEps=0.0952)
Iter 1858: *(NumConst=119, SV=39, CEps=0.4725, QPEps=0.0950)
Iter 1859: *(NumConst=118, SV=36, CEps=0.3205, QPEps=0.0940)
Iter 1860: *(NumConst=119, SV=40, CEps=0.1622, QPEps=0.0775)
Iter 1861: *(NumConst=112, SV=40, CEps=0.1617, QPEps=0.0788)
Iter 1862: *(NumConst=111, SV=39, CEps=0.2008, QPEps=0.0742)
Iter 1863: .........*(NumConst=111, SV=41, CEps=2.2334, QPEps=0.1480)
Iter 1864: *(NumConst=112, SV=44, CEps=0.5373, QPEps=0.2581)
Iter 1865: *(NumConst=112, SV=42, CEps=0.2573, QPEps=0.1173)
Iter 1866: *(NumConst=113, SV=38, CEps=0.2410, QPEps=0.1158)
Iter 1867: *(NumConst=114, SV=36, CEps=0.2775, QPEps=0.1192)
Iter 1868: .........*(NumConst=114, SV=37, CEps=0.8766, QPEps=0.3990)
Iter 1869: *(NumConst=113, SV=43, CEps=0.4500, QPEps=0.1978)
Iter 1870: *(NumConst=114, SV=43, CEps=0.3289, QPEps=0.1623)
Iter 1871: *(NumConst=115, SV=42, CEps=0.2569, QPEps=0.1214)
Iter 1872: *(NumConst=115, SV=43, CEps=0.3524, QPEps=0.1237)
Iter 1873: *(NumConst=116, SV=37, CEps=0.1209, QPEps=0.0553)
Iter 1874: *(NumConst=116, SV=33, CEps=0.2157, QPEps=0.0595)
Iter 1875: *(NumConst=116, SV=36, CEps=0.4287, QPEps=0.0604)
Iter 1876: *(NumConst=117, SV=33, CEps=0.3510, QPEps=0.0598)
Iter 1877: *(NumConst=118, SV=42, CEps=0.2304, QPEps=0.0571)
Iter 1878: *(NumConst=119, SV=40, CEps=0.3139, QPEps=0.0593)
Iter 1879: *(NumConst=117, SV=35, CEps=0.2221, QPEps=0.0571)
Iter 1880: *(NumConst=117, SV=33, CEps=0.1645, QPEps=0.0592)
Iter 1881: *(NumConst=116, SV=34, CEps=0.1689, QPEps=0.0556)
Iter 1882: .........*(NumConst=117, SV=37, CEps=23.8999, QPEps=0.4251)
Iter 1883: .........*(NumConst=116, SV=38, CEps=4.0097, QPEps=0.2730)
Iter 1884: *(NumConst=114, SV=41, CEps=0.7311, QPEps=0.1917)
Iter 1885: .........*(NumConst=114, SV=40, CEps=1.3839, QPEps=0.3169)
Iter 1886: *(NumConst=115, SV=42, CEps=0.6512, QPEps=0.2748)
Iter 1887: *(NumConst=115, SV=41, CEps=0.4722, QPEps=0.2320)
Iter 1888: *(NumConst=116, SV=42, CEps=0.3753, QPEps=0.1832)
Iter 1889: *(NumConst=117, SV=36, CEps=0.2248, QPEps=0.1049)
Iter 1890: *(NumConst=118, SV=37, CEps=0.1759, QPEps=0.0850)
Iter 1891: *(NumConst=119, SV=42, CEps=0.1425, QPEps=0.0678)
Iter 1892: *(NumConst=118, SV=38, CEps=0.2476, QPEps=0.0712)
Iter 1893: .........*(NumConst=119, SV=39, CEps=1.0858, QPEps=0.4179)
Iter 1894: *(NumConst=120, SV=43, CEps=0.4756, QPEps=0.1763)
Iter 1895: *(NumConst=121, SV=41, CEps=0.1780, QPEps=0.0865)
Iter 1896: *(NumConst=122, SV=39, CEps=0.1246, QPEps=0.0616)
Iter 1897: .........*(NumConst=123, SV=41, CEps=0.6778, QPEps=0.1920)
Iter 1898: *(NumConst=124, SV=42, CEps=0.3517, QPEps=0.1498)
Iter 1899: *(NumConst=123, SV=46, CEps=0.2733, QPEps=0.1074)
Iter 1900: *(NumConst=123, SV=42, CEps=0.1551, QPEps=0.0722)
Iter 1901: .........*(NumConst=124, SV=48, CEps=0.5905, QPEps=0.2731)
Iter 1902: *(NumConst=124, SV=43, CEps=0.3227, QPEps=0.1526)
Iter 1903: *(NumConst=125, SV=42, CEps=0.2563, QPEps=0.1248)
Iter 1904: *(NumConst=124, SV=44, CEps=0.2977, QPEps=0.1200)
Iter 1905: *(NumConst=123, SV=44, CEps=0.3166, QPEps=0.1243)
Iter 1906: *(NumConst=124, SV=43, CEps=0.3577, QPEps=0.1243)
Iter 1907: *(NumConst=125, SV=41, CEps=0.2660, QPEps=0.1238)
Iter 1908: *(NumConst=125, SV=46, CEps=0.2669, QPEps=0.1274)
Iter 1909: *(NumConst=125, SV=44, CEps=0.1738, QPEps=0.0865)
Iter 1910: *(NumConst=126, SV=50, CEps=0.2067, QPEps=0.0812)
Iter 1911: *(NumConst=127, SV=48, CEps=0.2821, QPEps=0.0809)
Iter 1912: *(NumConst=128, SV=43, CEps=0.1799, QPEps=0.2232)
Iter 1913: *(NumConst=129, SV=40, CEps=0.1516, QPEps=0.7053)
Iter 1914: .........*(NumConst=128, SV=46, CEps=1.4840, QPEps=0.2191)
Iter 1915: *(NumConst=127, SV=47, CEps=0.4005, QPEps=0.1557)
Iter 1916: *(NumConst=127, SV=45, CEps=0.3139, QPEps=0.1465)
Iter 1917: *(NumConst=128, SV=44, CEps=0.2479, QPEps=0.1191)
Iter 1918: *(NumConst=129, SV=41, CEps=0.1639, QPEps=0.1618)
Iter 1919: *(NumConst=130, SV=43, CEps=0.1920, QPEps=0.0785)
Iter 1920: *(NumConst=128, SV=41, CEps=0.2000, QPEps=0.1619)
Iter 1921: *(NumConst=128, SV=43, CEps=0.1748, QPEps=0.0789)
Iter 1922: *(NumConst=129, SV=46, CEps=0.4221, QPEps=0.0818)
Iter 1923: *(NumConst=130, SV=42, CEps=0.2279, QPEps=0.0785)
Iter 1924: *(NumConst=131, SV=40, CEps=0.2341, QPEps=0.0795)
Iter 1925: *(NumConst=132, SV=35, CEps=0.1741, QPEps=0.0684)
Iter 1926: *(NumConst=132, SV=35, CEps=0.1906, QPEps=0.0812)
Iter 1927: *(NumConst=132, SV=34, CEps=0.2399, QPEps=0.0817)
Iter 1928: *(NumConst=131, SV=36, CEps=0.2155, QPEps=0.0730)
Iter 1929: *(NumConst=132, SV=40, CEps=0.1932, QPEps=0.0732)
Iter 1930: *(NumConst=133, SV=39, CEps=0.1558, QPEps=0.0740)
Iter 1931: *(NumConst=134, SV=40, CEps=0.1774, QPEps=0.0778)
Iter 1932: .........*(NumConst=134, SV=41, CEps=11.9740, QPEps=0.2456)
Iter 1933: .........*(NumConst=135, SV=42, CEps=3.7140, QPEps=0.1923)
Iter 1934: *(NumConst=136, SV=47, CEps=0.8911, QPEps=0.2870)
Iter 1935: *(NumConst=135, SV=52, CEps=0.5989, QPEps=0.2667)
Iter 1936: *(NumConst=134, SV=46, CEps=0.3757, QPEps=0.1368)
Iter 1937: *(NumConst=135, SV=49, CEps=0.3737, QPEps=0.1486)
Iter 1938: .........*(NumConst=135, SV=49, CEps=1.8563, QPEps=0.2616)
Iter 1939: *(NumConst=135, SV=56, CEps=0.6866, QPEps=0.2036)
Iter 1940: *(NumConst=135, SV=46, CEps=0.3210, QPEps=0.1589)
Iter 1941: *(NumConst=135, SV=41, CEps=0.2897, QPEps=0.1172)
Iter 1942: *(NumConst=136, SV=41, CEps=0.2425, QPEps=0.1022)
Iter 1943: .........*(NumConst=137, SV=47, CEps=1.2952, QPEps=0.2874)
Iter 1944: *(NumConst=136, SV=49, CEps=0.3729, QPEps=0.1860)
Iter 1945: *(NumConst=135, SV=51, CEps=0.3791, QPEps=0.1812)
Iter 1946: *(NumConst=136, SV=46, CEps=0.4228, QPEps=0.1256)
Iter 1947: *(NumConst=137, SV=51, CEps=0.2580, QPEps=0.1202)
Iter 1948: *(NumConst=137, SV=51, CEps=0.2674, QPEps=0.1119)
Iter 1949: *(NumConst=136, SV=42, CEps=0.1664, QPEps=0.0764)
Iter 1950: *(NumConst=136, SV=41, CEps=0.1987, QPEps=0.0817)
Iter 1951: *(NumConst=135, SV=38, CEps=0.1332, QPEps=0.0613)
Iter 1952: *(NumConst=135, SV=36, CEps=0.1667, QPEps=0.0661)
Iter 1953: *(NumConst=136, SV=34, CEps=0.5212, QPEps=0.0640)
Iter 1954: *(NumConst=134, SV=39, CEps=0.1365, QPEps=0.0645)
Iter 1955: *(NumConst=133, SV=37, CEps=0.1630, QPEps=0.0644)
Iter 1956: .........*(NumConst=130, SV=38, CEps=10.5735, QPEps=0.2728)
Iter 1957: .........*(NumConst=129, SV=39, CEps=3.4722, QPEps=0.2868)
Iter 1958: *(NumConst=130, SV=37, CEps=0.3967, QPEps=0.1604)
Iter 1959: .........*(NumConst=129, SV=38, CEps=1.5307, QPEps=0.2596)
Iter 1960: *(NumConst=126, SV=44, CEps=0.4883, QPEps=0.2061)
Iter 1961: *(NumConst=125, SV=40, CEps=0.3425, QPEps=0.1522)
Iter 1962: *(NumConst=124, SV=38, CEps=0.3744, QPEps=0.1505)
Iter 1963: .........*(NumConst=125, SV=39, CEps=0.8930, QPEps=0.2891)
Iter 1964: *(NumConst=126, SV=49, CEps=0.4656, QPEps=0.2047)
Iter 1965: *(NumConst=126, SV=52, CEps=0.3424, QPEps=0.1611)
Iter 1966: *(NumConst=127, SV=47, CEps=0.4399, QPEps=0.1673)
Iter 1967: *(NumConst=126, SV=37, CEps=0.2089, QPEps=0.0924)
Iter 1968: *(NumConst=127, SV=40, CEps=0.2161, QPEps=0.0989)
Iter 1969: *(NumConst=128, SV=38, CEps=0.1500, QPEps=0.0711)
Iter 1970: *(NumConst=127, SV=40, CEps=0.1332, QPEps=0.0664)
Iter 1971: *(NumConst=128, SV=42, CEps=0.1209, QPEps=0.0572)
Iter 1972: *(NumConst=128, SV=40, CEps=0.2026, QPEps=0.0604)
Iter 1973: .........*(NumConst=125, SV=43, CEps=0.6433, QPEps=0.1701)
Iter 1974: *(NumConst=125, SV=46, CEps=0.3019, QPEps=0.1433)
Iter 1975: *(NumConst=126, SV=42, CEps=0.3106, QPEps=0.1391)
Iter 1976: *(NumConst=127, SV=42, CEps=0.1736, QPEps=0.0857)
Iter 1977: *(NumConst=127, SV=39, CEps=0.1384, QPEps=0.0675)
Iter 1978: *(NumConst=128, SV=49, CEps=0.1320, QPEps=0.0608)
Iter 1979: *(NumConst=129, SV=44, CEps=0.1374, QPEps=0.0644)
Iter 1980: .........*(NumConst=128, SV=45, CEps=1.2283, QPEps=0.2855)
Iter 1981: *(NumConst=128, SV=46, CEps=0.2397, QPEps=0.0848)
Iter 1982: *(NumConst=129, SV=46, CEps=0.2534, QPEps=0.1033)
Iter 1983: *(NumConst=130, SV=42, CEps=0.1273, QPEps=0.0583)
Iter 1984: *(NumConst=129, SV=42, CEps=0.1857, QPEps=0.0619)
Iter 1985: .........*(NumConst=128, SV=43, CEps=0.6832, QPEps=0.2483)
Iter 1986: *(NumConst=129, SV=42, CEps=0.3990, QPEps=0.1678)
Iter 1987: *(NumConst=129, SV=44, CEps=0.1509, QPEps=0.0700)
Iter 1988: *(NumConst=128, SV=43, CEps=0.1657, QPEps=0.0716)
Iter 1989: *(NumConst=126, SV=44, CEps=0.1098, QPEps=0.0463)
Iter 1990: .........*(NumConst=126, SV=48, CEps=0.4695, QPEps=0.1753)
Iter 1991: *(NumConst=127, SV=54, CEps=0.2619, QPEps=0.1139)
Iter 1992: *(NumConst=128, SV=47, CEps=0.1213, QPEps=0.0564)
Iter 1993: *(NumConst=128, SV=51, CEps=0.1038, QPEps=63.7396)
Iter 1994: *(NumConst=127, SV=53, CEps=0.2343, QPEps=0.1718)
Iter 1995: *(NumConst=128, SV=45, CEps=0.2355, QPEps=0.0427)
Iter 1996: *(NumConst=128, SV=45, CEps=0.1196, QPEps=0.0393)
Iter 1997: *(NumConst=126, SV=43, CEps=0.1181, QPEps=0.0502)
Iter 1998: *(NumConst=125, SV=45, CEps=0.1297, QPEps=63.7851)
Iter 1999: *(NumConst=126, SV=46, CEps=0.2726, QPEps=0.0507)
Iter 2000: .........*(NumConst=125, SV=53, CEps=2.0820, QPEps=0.1764)
Iter 2001: *(NumConst=125, SV=55, CEps=0.3445, QPEps=0.1599)
Iter 2002: .........*(NumConst=125, SV=58, CEps=0.8746, QPEps=0.2228)
Iter 2003: *(NumConst=126, SV=48, CEps=0.2561, QPEps=0.0869)
Iter 2004: *(NumConst=127, SV=51, CEps=0.1830, QPEps=0.0834)
Iter 2005: *(NumConst=128, SV=55, CEps=0.1828, QPEps=0.0812)
Iter 2006: .........*(NumConst=129, SV=55, CEps=0.9576, QPEps=0.1624)
Iter 2007: *(NumConst=129, SV=51, CEps=0.2379, QPEps=0.1023)
Iter 2008: *(NumConst=130, SV=51, CEps=0.1826, QPEps=0.0831)
Iter 2009: *(NumConst=131, SV=49, CEps=0.1759, QPEps=0.0726)
Iter 2010: *(NumConst=131, SV=45, CEps=0.1208, QPEps=0.0578)
Iter 2011: .........*(NumConst=131, SV=45, CEps=0.4223, QPEps=0.1199)
Iter 2012: *(NumConst=132, SV=49, CEps=0.1289, QPEps=0.0605)
Iter 2013: .........*(NumConst=133, SV=53, CEps=0.3586, QPEps=0.1762)
Iter 2014: *(NumConst=131, SV=57, CEps=0.2087, QPEps=0.1008)
Iter 2015: *(NumConst=132, SV=59, CEps=0.1254, QPEps=0.0614)
Iter 2016: *(NumConst=132, SV=54, CEps=0.1179, QPEps=0.0503)
Iter 2017: *(NumConst=133, SV=55, CEps=0.1179, QPEps=0.0588)
Iter 2018: .........*(NumConst=133, SV=57, CEps=0.5233, QPEps=0.1656)
Iter 2019: *(NumConst=133, SV=58, CEps=0.1522, QPEps=0.0680)
Iter 2020: .........*(NumConst=131, SV=60, CEps=0.5626, QPEps=0.1473)
Iter 2021: *(NumConst=130, SV=63, CEps=0.1648, QPEps=0.0757)
Iter 2022: .........*(NumConst=131, SV=61, CEps=0.3583, QPEps=0.1247)
Iter 2023: *(NumConst=131, SV=61, CEps=0.1177, QPEps=0.0564)
Iter 2024: .........*(NumConst=129, SV=65, CEps=0.3666, QPEps=0.1107)
Iter 2025: *(NumConst=130, SV=58, CEps=0.1248, QPEps=0.0600)
Iter 2026: *(NumConst=129, SV=63, CEps=0.1131, QPEps=0.0545)
Iter 2027: .........*(NumConst=129, SV=60, CEps=0.2174, QPEps=0.1022)
Iter 2028: .........*(NumConst=128, SV=60, CEps=0.3387, QPEps=0.0980)
Iter 2029: .........*(NumConst=129, SV=60, CEps=0.2192, QPEps=0.0983)
Iter 2030: .........*(NumConst=130, SV=61, CEps=0.8621, QPEps=0.0903)
Iter 2031: *(NumConst=129, SV=64, CEps=0.1524, QPEps=0.0726)
Iter 2032: *(NumConst=128, SV=60, CEps=0.1287, QPEps=0.0613)
Iter 2033: .........*(NumConst=129, SV=59, CEps=0.2772, QPEps=0.0786)
Iter 2034: .........*(NumConst=130, SV=63, CEps=0.1800, QPEps=0.0847)
Iter 2035: *(NumConst=131, SV=61, CEps=0.1332, QPEps=0.0589)
Iter 2036: *(NumConst=130, SV=54, CEps=0.1044, QPEps=0.0488)
Iter 2037: *(NumConst=131, SV=55, CEps=0.1269, QPEps=0.0520)
Iter 2038: .........*(NumConst=132, SV=55, CEps=0.3078, QPEps=0.0694)
Iter 2039: .........*(NumConst=133, SV=60, CEps=0.2728, QPEps=0.0574)
Iter 2040: .........*(NumConst=133, SV=57, CEps=0.1841, QPEps=0.0897)
Iter 2041: *(NumConst=130, SV=61, CEps=0.1530, QPEps=0.0677)
Iter 2042: .........*(NumConst=131, SV=61, CEps=0.3968, QPEps=0.0777)
Iter 2043: *(NumConst=131, SV=51, CEps=0.1011, QPEps=0.0441)
Iter 2044: .........*(NumConst=129, SV=55, CEps=0.2056, QPEps=0.0720)
Iter 2045: *(NumConst=129, SV=55, CEps=0.1141, QPEps=0.0534)
Iter 2046: .........*(NumConst=129, SV=58, CEps=0.2944, QPEps=0.0846)
Iter 2047: *(NumConst=130, SV=61, CEps=0.1374, QPEps=0.0561)
Iter 2048: *(NumConst=131, SV=61, CEps=0.1614, QPEps=0.0673)
Iter 2049: .........*(NumConst=132, SV=63, CEps=0.3271, QPEps=0.0877)
Iter 2050: *(NumConst=133, SV=54, CEps=0.1056, QPEps=0.0461)
Iter 2051: *(NumConst=133, SV=54, CEps=0.2606, QPEps=0.0516)
Iter 2052: *(NumConst=131, SV=51, CEps=0.1353, QPEps=0.0484)
Iter 2053: .........*(NumConst=131, SV=53, CEps=0.3530, QPEps=0.0779)
Iter 2054: *(NumConst=132, SV=52, CEps=0.1043, QPEps=0.0512)
Iter 2055: *(NumConst=132, SV=46, CEps=0.1067, QPEps=0.0518)
Iter 2056: .........*(NumConst=132, SV=45, CEps=0.3266, QPEps=0.0726)
Iter 2057: *(NumConst=133, SV=45, CEps=0.1302, QPEps=0.0578)
Iter 2058: *(NumConst=134, SV=44, CEps=0.1258, QPEps=0.0579)
Iter 2059: .........*(NumConst=132, SV=46, CEps=0.2559, QPEps=0.0757)
Iter 2060: *(NumConst=133, SV=46, CEps=0.1180, QPEps=0.0588)
Iter 2061: *(NumConst=134, SV=47, CEps=0.1050, QPEps=0.0520)
Iter 2062: *(NumConst=135, SV=48, CEps=0.1240, QPEps=0.0503)
Iter 2063: *(NumConst=135, SV=47, CEps=0.1004, QPEps=0.0456)
Iter 2064: .........*(NumConst=135, SV=50, CEps=0.1845, QPEps=0.0820)
Iter 2065: .........*(NumConst=134, SV=48, CEps=0.1331, QPEps=0.0655)
Iter 2066: .........*(NumConst=134, SV=52, CEps=0.1027, QPEps=0.0476)
Iter 2067: .........*(NumConst=135, SV=49, CEps=0.2679, QPEps=0.0494)
Iter 2068: .........*(NumConst=136, SV=50, CEps=0.1700, QPEps=0.0476)
Iter 2069: .........*(NumConst=137, SV=53, CEps=0.1482, QPEps=0.0506)
Iter 2070: .........*(NumConst=137, SV=52, CEps=0.3408, QPEps=0.0503)
Iter 2071: *(NumConst=138, SV=51, CEps=0.1182, QPEps=0.0498)
Iter 2072: .........*(NumConst=139, SV=51, CEps=0.1721, QPEps=0.0493)
Iter 2073: .........*(NumConst=140, SV=50, CEps=0.1360, QPEps=0.0499)
Iter 2074: *(NumConst=140, SV=57, CEps=0.1065, QPEps=0.0498)
Iter 2075: .........*(NumConst=140, SV=61, CEps=0.1914, QPEps=0.0495)
Iter 2076: .........*(NumConst=140, SV=55, CEps=0.2195, QPEps=0.0502)
Iter 2077: *(NumConst=141, SV=51, CEps=0.1115, QPEps=0.0512)
Iter 2078: .........*(NumConst=141, SV=54, CEps=0.1267, QPEps=0.0487)
Iter 2079: *(NumConst=142, SV=61, CEps=0.1044, QPEps=1.9328)
Iter 2080: *(NumConst=142, SV=54, CEps=0.1359, QPEps=0.0504)
Iter 2081: .........*(NumConst=141, SV=50, CEps=1.8369, QPEps=0.0503)
Iter 2082: .........*(NumConst=142, SV=60, CEps=0.2694, QPEps=0.0500)
Iter 2083: *(NumConst=143, SV=55, CEps=0.1154, QPEps=0.0500)
Iter 2084: *(NumConst=144, SV=52, CEps=0.1340, QPEps=0.0505)
Iter 2085: .........*(NumConst=141, SV=50, CEps=4.1974, QPEps=0.0502)
Iter 2086: .........*(NumConst=142, SV=51, CEps=1.3152, QPEps=0.0499)
Iter 2087: .........*(NumConst=143, SV=49, CEps=0.2345, QPEps=0.0510)
Iter 2088: *(NumConst=143, SV=55, CEps=0.1174, QPEps=0.0484)
Iter 2089: .........*(NumConst=144, SV=54, CEps=0.2242, QPEps=0.0447)
Iter 2090: .........*(NumConst=143, SV=49, CEps=0.1454, QPEps=0.0509)
Iter 2091: .........*(NumConst=143, SV=47, CEps=0.2706, QPEps=0.0499)
Iter 2092: .........*(NumConst=139, SV=50, CEps=0.1614, QPEps=0.0493)
Iter 2093: *(NumConst=140, SV=48, CEps=0.1224, QPEps=0.0512)
Iter 2094: .........*(NumConst=140, SV=51, CEps=0.5087, QPEps=0.0511)
Iter 2095: *(NumConst=141, SV=50, CEps=0.1518, QPEps=0.0507)
Iter 2096: .........*(NumConst=142, SV=52, CEps=0.3780, QPEps=0.0473)
Iter 2097: *(NumConst=142, SV=48, CEps=0.1289, QPEps=0.0502)
Iter 2098: .........*(NumConst=141, SV=55, CEps=0.1550, QPEps=0.0493)
Iter 2099: *(NumConst=140, SV=52, CEps=0.1049, QPEps=0.0497)
Iter 2100: .........*(NumConst=140, SV=50, CEps=0.1005, QPEps=0.0481)
Iter 2101: .........*(NumConst=140, SV=55, CEps=0.5599, QPEps=0.0457)
Iter 2102: .........*(NumConst=140, SV=53, CEps=0.2429, QPEps=0.0489)
Iter 2103: *(NumConst=139, SV=50, CEps=0.1001, QPEps=0.0484)
Iter 2104: *(NumConst=139, SV=50, CEps=0.1135, QPEps=0.0500)
Iter 2105: .........*(NumConst=139, SV=54, CEps=0.1950, QPEps=0.0491)
Iter 2106: .........*(NumConst=139, SV=51, CEps=0.1235, QPEps=0.0497)
Iter 2107: .........*(NumConst=140, SV=47, CEps=0.1084, QPEps=0.0495)
Iter 2108: .........*(NumConst=139, SV=49, CEps=0.1003, QPEps=0.0500)
Iter 2109: .........*(NumConst=140, SV=57, CEps=0.1035, QPEps=0.0491)
Iter 2110: .........(NumConst=140, SV=57, CEps=0.0945, QPEps=0.0491)
Final epsilon on KKT-Conditions: 0.09449
Upper bound on duality gap: 174.55456
Dual objective value: dval=111001.80756
Primal objective value: pval=111176.36212
Total number of constraints in final working set: 140 (of 2109)
Number of iterations: 2110
Number of calls to 'find_most_violated_constraint': 86724
Number of SV: 57
Norm of weight vector: |w|=2.85326
Value of slack variable (on working set): xi=63.75427
Value of slack variable (global): xi=63.77813
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=3213.20271
Runtime in cpu-seconds: 2856.92
Final number of constraints in cache: 990
Viterbi timing: CreateTransEmitMatrix=3403.000000 Viterbi=1208.000000
Compacting linear model...done
Writing learned model...done
=== END program1: ./run learn ../dataset2/train --- OK [6729s]
===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [5s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
read 14 templates from "template"
Reading model...done.
Reading test examples... 198 examples, 174311 tokens, 21 features, 5 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.10
Average loss on test set: 880.3586
Zero/one-error on test set: 100.00% (0 correct, 198 incorrect, 198 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [42s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [14s]
===== MAIN: predict/evaluate on test data =====
=== START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
read 14 templates from "template"
Reading model...done.
Reading test examples... 10 examples, 11116 tokens, 21 features, 5 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.01
Average loss on test set: 1111.6000
Zero/one-error on test set: 100.00% (0 correct, 10 incorrect, 10 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [4s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]
real 113m37.603s
user 48m30.746s
sys 0m10.297s
Run specification
supervised-learning: Main entry for supervised learning for training and testing a program on a dataset.
(learner:Program) svm-hmm: SVMhmm is an implementation of structural SVMs for sequence tagging. See http://www.cs.cornell.edu/People/tj/svm_light/svm_hmm.html for more info.
When you generate a run, you can set a time limit for the run (no more than 24 hours). After that point, we will terminate the program.
Your program can use 1.5GB of memory. More information here.
Go to the page for the run and look at the log file for signs of the responsible error.
You can also download the run and run it locally on your machine (a README file should
be included in the download which provides more information).
We said that a run was simply a program/dataset pair, but that's not the full story.
A run actually includes other helper programs such as the evaluation program and
various programs for reductions (e.g., one-versus-all, hyperparameter tuning).
More formally, a run is a given by a run specification,
which can be found on the page for any run.
A run specification is a tree where each internal node represents a program
and its children represents the arguments to be passed into its constructor.
For example, the one-versus-all program takes your binary classification program
as a constructor argument and behaves like a multiclass classification program.
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