├── datasets ├── __init__.py ├── assistment │ ├── concept_map.json │ ├── metadata.json │ ├── test_triplets.csv │ ├── train_triplets.csv │ └── triplets.csv └── data_prep.py ├── models ├── irt │ └── checkpoint.pt └── ncd │ └── checkpoint.pt ├── pyat ├── __init__.py ├── driver.py ├── model │ ├── __init__.py │ ├── abstract_model.py │ └── irt_model.py ├── strategy │ ├── __init__.py │ ├── abstract_strategy.py │ └── maat_strategy.py └── utils │ ├── __init__.py │ ├── _utils.py │ └── data │ ├── __init__.py │ ├── _dataset.py │ ├── adaptest_dataset.py │ └── train_dataset.py └── scripts ├── test.py └── train.py /datasets/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bigdata-ustc/MAAT/55226e29a5948dda766137935f532c687a05c231/datasets/__init__.py -------------------------------------------------------------------------------- /datasets/assistment/concept_map.json: 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1073 | 6,409,1 1074 | 6,410,0 1075 | 6,414,0 1076 | 6,415,1 1077 | 6,432,1 1078 | 6,442,0 1079 | 6,444,1 1080 | 6,458,1 1081 | 6,463,1 1082 | 6,465,0 1083 | 6,475,1 1084 | 6,476,1 1085 | 6,488,1 1086 | 6,490,0 1087 | 6,491,1 1088 | 6,492,1 1089 | 6,493,0 1090 | 6,495,0 1091 | 6,496,0 1092 | 6,497,1 1093 | 6,498,1 1094 | 6,499,1 1095 | 6,502,0 1096 | 6,512,1 1097 | 6,514,0 1098 | 6,518,1 1099 | 6,522,1 1100 | 6,538,1 1101 | 6,542,1 1102 | 6,543,0 1103 | 6,544,1 1104 | 6,550,1 1105 | 6,551,0 1106 | 6,552,1 1107 | 6,553,0 1108 | 6,555,1 1109 | 6,556,1 1110 | 6,561,1 1111 | 6,562,1 1112 | 6,563,1 1113 | 6,564,1 1114 | 6,574,0 1115 | 6,576,1 1116 | 6,578,1 1117 | 6,579,0 1118 | 6,580,1 1119 | 6,581,1 1120 | 6,595,1 1121 | 6,596,1 1122 | 6,597,1 1123 | 6,605,1 1124 | 6,611,1 1125 | 6,616,1 1126 | 6,618,1 1127 | 6,625,1 1128 | 6,626,0 1129 | 6,633,1 1130 | 6,634,1 1131 | 6,643,1 1132 | 6,644,1 1133 | 6,668,1 1134 | 6,674,0 1135 | 6,686,1 1136 | 6,687,1 1137 | 6,690,1 1138 | 6,691,1 1139 | 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7,98,1 1208 | 7,100,1 1209 | 7,120,1 1210 | 7,130,1 1211 | 7,138,1 1212 | 7,141,1 1213 | 7,142,0 1214 | 7,150,1 1215 | 7,156,1 1216 | 7,159,1 1217 | 7,160,1 1218 | 7,161,0 1219 | 7,162,1 1220 | 7,163,1 1221 | 7,171,0 1222 | 7,178,0 1223 | 7,179,0 1224 | 7,197,1 1225 | 7,202,1 1226 | 7,207,1 1227 | 7,208,1 1228 | 7,209,0 1229 | 7,220,1 1230 | 7,221,0 1231 | 7,222,1 1232 | 7,224,1 1233 | 7,230,1 1234 | 7,232,0 1235 | 7,246,1 1236 | 7,257,1 1237 | 7,258,1 1238 | 7,265,1 1239 | 7,286,1 1240 | 7,297,1 1241 | 7,313,1 1242 | 7,325,1 1243 | 7,352,1 1244 | 7,363,1 1245 | 7,364,1 1246 | 7,391,1 1247 | 7,401,1 1248 | 7,404,1 1249 | 7,412,1 1250 | 7,415,0 1251 | 7,426,1 1252 | 7,440,1 1253 | 7,452,1 1254 | 7,466,1 1255 | 7,501,1 1256 | 7,502,1 1257 | 7,511,0 1258 | 7,514,0 1259 | 7,516,0 1260 | 7,517,1 1261 | 7,532,1 1262 | 7,537,1 1263 | 7,538,1 1264 | 7,565,0 1265 | 7,566,1 1266 | 7,574,0 1267 | 7,575,1 1268 | 7,577,1 1269 | 7,578,1 1270 | 7,579,0 1271 | 7,580,1 1272 | 7,581,1 1273 | 7,589,1 1274 | 7,600,0 1275 | 7,610,0 1276 | 7,611,0 1277 | 7,612,1 1278 | 7,613,1 1279 | 7,622,1 1280 | 7,649,0 1281 | 7,650,0 1282 | 7,651,1 1283 | 7,653,1 1284 | 7,668,0 1285 | 7,669,1 1286 | 7,676,1 1287 | 7,677,1 1288 | 7,678,0 1289 | 7,684,1 1290 | 7,696,1 1291 | 7,705,0 1292 | 7,706,0 1293 | 7,707,1 1294 | 7,708,1 1295 | 7,712,1 1296 | 7,713,1 1297 | 7,724,1 1298 | 7,727,1 1299 | 7,729,1 1300 | 7,733,0 1301 | 7,736,1 1302 | 7,744,0 1303 | 7,745,1 1304 | 7,746,1 1305 | 7,747,1 1306 | 7,748,0 1307 | 7,750,1 1308 | 7,759,1 1309 | 7,761,0 1310 | 7,767,0 1311 | 7,775,0 1312 | 7,780,0 1313 | 7,788,1 1314 | 7,790,1 1315 | 7,797,1 1316 | 7,804,0 1317 | 7,806,1 1318 | 7,813,1 1319 | 7,822,1 1320 | 7,830,0 1321 | 7,832,0 1322 | 7,833,1 1323 | 7,834,1 1324 | 7,835,0 1325 | 7,836,1 1326 | 7,837,1 1327 | 7,838,0 1328 | 7,839,1 1329 | 7,842,0 1330 | 7,852,0 1331 | 7,858,0 1332 | 7,859,1 1333 | 7,861,0 1334 | 7,863,0 1335 | 7,866,1 1336 | 7,868,1 1337 | 7,871,1 1338 | 7,874,1 1339 | 7,875,1 1340 | 7,876,0 1341 | 7,877,0 1342 | 7,878,1 1343 | 7,879,1 1344 | 7,881,0 1345 | 7,885,0 1346 | 7,887,1 1347 | 7,894,1 1348 | 7,897,1 1349 | 7,898,1 1350 | 7,901,1 1351 | 7,902,1 1352 | 8,32,1 1353 | 8,44,1 1354 | 8,46,1 1355 | 8,49,1 1356 | 8,51,1 1357 | 8,54,1 1358 | 8,59,1 1359 | 8,61,0 1360 | 8,67,1 1361 | 8,80,1 1362 | 8,92,1 1363 | 8,93,1 1364 | 8,94,1 1365 | 8,95,1 1366 | 8,100,1 1367 | 8,103,0 1368 | 8,114,0 1369 | 8,115,1 1370 | 8,121,0 1371 | 8,122,0 1372 | 8,124,1 1373 | 8,126,1 1374 | 8,148,0 1375 | 8,152,1 1376 | 8,159,1 1377 | 8,161,0 1378 | 8,162,0 1379 | 8,163,0 1380 | 8,164,1 1381 | 8,165,0 1382 | 8,170,1 1383 | 8,171,1 1384 | 8,174,1 1385 | 8,191,0 1386 | 8,204,1 1387 | 8,209,0 1388 | 8,213,1 1389 | 8,214,1 1390 | 8,217,0 1391 | 8,219,1 1392 | 8,220,1 1393 | 8,221,1 1394 | 8,229,1 1395 | 8,244,1 1396 | 8,258,1 1397 | 8,265,1 1398 | 8,295,1 1399 | 8,297,1 1400 | 8,298,1 1401 | 8,299,1 1402 | 8,309,1 1403 | 8,324,1 1404 | 8,332,0 1405 | 8,333,0 1406 | 8,334,1 1407 | 8,343,1 1408 | 8,347,1 1409 | 8,361,1 1410 | 8,378,0 1411 | 8,382,0 1412 | 8,391,1 1413 | 8,392,1 1414 | 8,398,0 1415 | 8,411,0 1416 | 8,426,1 1417 | 8,428,1 1418 | 8,431,1 1419 | 8,452,1 1420 | 8,453,1 1421 | 8,458,1 1422 | 8,475,1 1423 | 8,476,1 1424 | 8,488,1 1425 | 8,492,1 1426 | 8,499,0 1427 | 8,511,1 1428 | 8,513,1 1429 | 8,520,0 1430 | 8,522,1 1431 | 8,532,1 1432 | 8,537,1 1433 | 8,541,1 1434 | 8,551,1 1435 | 8,552,0 1436 | 8,553,1 1437 | 8,556,1 1438 | 8,562,0 1439 | 8,574,1 1440 | 8,575,1 1441 | 8,576,1 1442 | 8,577,0 1443 | 8,578,1 1444 | 8,580,1 1445 | 8,581,1 1446 | 8,583,1 1447 | 8,594,1 1448 | 8,595,1 1449 | 8,597,0 1450 | 8,613,1 1451 | 8,618,1 1452 | 8,637,1 1453 | 8,643,0 1454 | 8,652,1 1455 | 8,654,1 1456 | 8,658,1 1457 | 8,659,1 1458 | 8,668,1 1459 | 8,669,1 1460 | 8,670,1 1461 | 8,682,0 1462 | 8,684,1 1463 | 8,687,1 1464 | 8,688,1 1465 | 8,690,1 1466 | 8,692,1 1467 | 8,702,1 1468 | 8,705,1 1469 | 8,706,1 1470 | 8,707,1 1471 | 8,708,1 1472 | 8,712,0 1473 | 8,717,1 1474 | 8,725,1 1475 | 8,730,1 1476 | 8,731,1 1477 | 8,744,0 1478 | 8,747,0 1479 | 8,748,1 1480 | 8,750,1 1481 | 8,752,0 1482 | 8,753,0 1483 | 8,754,1 1484 | 8,755,1 1485 | 8,759,1 1486 | 8,760,0 1487 | 8,765,0 1488 | 8,766,1 1489 | 8,767,1 1490 | 8,775,1 1491 | 8,777,0 1492 | 8,787,1 1493 | 8,797,0 1494 | 8,805,1 1495 | 8,809,0 1496 | 8,825,1 1497 | 8,826,1 1498 | 8,830,1 1499 | 8,837,0 1500 | 8,838,0 1501 | 8,851,0 1502 | 8,862,0 1503 | 8,876,1 1504 | 8,882,0 1505 | 9,12,1 1506 | 9,17,1 1507 | 9,18,1 1508 | 9,25,1 1509 | 9,28,0 1510 | 9,29,0 1511 | 9,33,1 1512 | 9,44,0 1513 | 9,46,1 1514 | 9,48,1 1515 | 9,52,1 1516 | 9,58,1 1517 | 9,59,1 1518 | 9,60,1 1519 | 9,62,0 1520 | 9,63,0 1521 | 9,64,1 1522 | 9,66,1 1523 | 9,68,0 1524 | 9,71,1 1525 | 9,74,1 1526 | 9,76,1 1527 | 9,79,0 1528 | 9,80,0 1529 | 9,88,1 1530 | 9,93,1 1531 | 9,95,1 1532 | 9,96,1 1533 | 9,97,1 1534 | 9,101,1 1535 | 9,107,0 1536 | 9,110,1 1537 | 9,111,1 1538 | 9,126,0 1539 | 9,131,0 1540 | 9,140,0 1541 | 9,141,0 1542 | 9,142,0 1543 | 9,149,1 1544 | 9,152,1 1545 | 9,160,1 1546 | 9,162,0 1547 | 9,165,1 1548 | 9,166,1 1549 | 9,169,0 1550 | 9,173,0 1551 | 9,176,0 1552 | 9,178,0 1553 | 9,183,0 1554 | 9,195,1 1555 | 9,199,0 1556 | 9,202,1 1557 | 9,203,0 1558 | 9,207,0 1559 | 9,215,0 1560 | 9,225,1 1561 | 9,227,1 1562 | 9,233,1 1563 | 9,235,1 1564 | 9,246,1 1565 | 9,250,1 1566 | 9,263,1 1567 | 9,266,1 1568 | 9,286,1 1569 | 9,288,0 1570 | 9,292,0 1571 | 9,310,1 1572 | 9,313,0 1573 | 9,314,1 1574 | 9,328,1 1575 | 9,334,0 1576 | 9,347,1 1577 | 9,363,1 1578 | 9,365,1 1579 | 9,368,0 1580 | 9,369,1 1581 | 9,390,1 1582 | 9,391,0 1583 | 9,393,0 1584 | 9,403,0 1585 | 9,412,0 1586 | 9,415,1 1587 | 9,422,1 1588 | 9,427,1 1589 | 9,447,0 1590 | 9,450,0 1591 | 9,452,1 1592 | 9,464,0 1593 | 9,466,1 1594 | 9,474,1 1595 | 9,487,1 1596 | 9,488,1 1597 | 9,490,1 1598 | 9,499,0 1599 | 9,509,0 1600 | 9,510,1 1601 | 9,512,1 1602 | 9,517,0 1603 | 9,522,1 1604 | 9,536,1 1605 | 9,537,1 1606 | 9,538,1 1607 | 9,545,0 1608 | 9,552,0 1609 | 9,554,1 1610 | 9,555,0 1611 | 9,559,0 1612 | 9,563,0 1613 | 9,565,0 1614 | 9,579,0 1615 | 9,583,0 1616 | 9,593,0 1617 | 9,594,1 1618 | 9,600,1 1619 | 9,601,0 1620 | 9,602,0 1621 | 9,603,1 1622 | 9,610,0 1623 | 9,622,1 1624 | 9,623,0 1625 | 9,625,1 1626 | 9,635,1 1627 | 9,636,1 1628 | 9,643,1 1629 | 9,645,0 1630 | 9,646,1 1631 | 9,674,0 1632 | 9,688,1 1633 | 9,689,1 1634 | 9,690,1 1635 | 9,712,1 1636 | 9,718,1 1637 | 9,725,1 1638 | 9,728,1 1639 | 9,729,1 1640 | 9,738,0 1641 | 9,756,1 1642 | 9,757,1 1643 | 9,763,0 1644 | 9,769,1 1645 | 9,775,0 1646 | 9,777,0 1647 | 9,778,0 1648 | 9,779,0 1649 | 9,780,0 1650 | 9,782,1 1651 | 9,800,1 1652 | 9,802,0 1653 | 9,803,0 1654 | 9,806,1 1655 | 9,808,0 1656 | 9,810,1 1657 | 9,811,1 1658 | 9,813,1 1659 | 9,816,1 1660 | 9,823,1 1661 | 9,827,0 1662 | 9,829,1 1663 | 9,846,0 1664 | 9,848,1 1665 | 9,849,1 1666 | 9,863,1 1667 | 9,867,1 1668 | 9,868,1 1669 | 9,869,0 1670 | 9,870,1 1671 | 9,872,1 1672 | 9,873,1 1673 | 9,877,0 1674 | 9,881,1 1675 | 9,883,0 1676 | 9,884,0 1677 | 9,892,1 1678 | 9,893,1 1679 | 9,895,1 1680 | 9,896,1 1681 | 9,897,1 1682 | 9,899,1 1683 | 9,900,0 1684 | 9,902,1 1685 | 10,13,1 1686 | 10,16,0 1687 | 10,17,1 1688 | 10,26,0 1689 | 10,28,1 1690 | 10,29,1 1691 | 10,39,0 1692 | 10,48,1 1693 | 10,58,0 1694 | 10,63,1 1695 | 10,65,1 1696 | 10,69,0 1697 | 10,72,0 1698 | 10,73,1 1699 | 10,75,0 1700 | 10,76,0 1701 | 10,78,0 1702 | 10,94,0 1703 | 10,96,1 1704 | 10,99,1 1705 | 10,100,1 1706 | 10,101,1 1707 | 10,109,1 1708 | 10,112,1 1709 | 10,125,0 1710 | 10,130,1 1711 | 10,132,1 1712 | 10,140,1 1713 | 10,157,1 1714 | 10,159,0 1715 | 10,161,0 1716 | 10,162,0 1717 | 10,163,0 1718 | 10,164,0 1719 | 10,168,1 1720 | 10,169,0 1721 | 10,173,0 1722 | 10,183,1 1723 | 10,220,0 1724 | 10,222,1 1725 | 10,223,1 1726 | 10,224,1 1727 | 10,226,0 1728 | 10,227,0 1729 | 10,247,1 1730 | 10,248,1 1731 | 10,261,1 1732 | 10,263,0 1733 | 10,265,1 1734 | 10,285,0 1735 | 10,290,1 1736 | 10,292,1 1737 | 10,300,1 1738 | 10,314,0 1739 | 10,316,0 1740 | 10,331,0 1741 | 10,332,0 1742 | 10,335,0 1743 | 10,347,1 1744 | 10,358,1 1745 | 10,365,1 1746 | 10,369,0 1747 | 10,385,1 1748 | 10,392,0 1749 | 10,411,1 1750 | 10,413,1 1751 | 10,415,1 1752 | 10,421,1 1753 | 10,422,1 1754 | 10,431,1 1755 | 10,432,1 1756 | 10,440,0 1757 | 10,447,1 1758 | 10,474,1 1759 | 10,476,1 1760 | 10,479,1 1761 | 10,486,1 1762 | 10,487,1 1763 | 10,488,1 1764 | 10,494,1 1765 | 10,499,1 1766 | 10,514,1 1767 | 10,516,0 1768 | 10,518,1 1769 | 10,521,0 1770 | 10,522,1 1771 | 10,535,0 1772 | 10,536,1 1773 | 10,537,1 1774 | 10,550,0 1775 | 10,551,0 1776 | 10,552,0 1777 | 10,554,0 1778 | 10,556,1 1779 | 10,561,1 1780 | 10,563,1 1781 | 10,574,0 1782 | 10,575,1 1783 | 10,578,0 1784 | 10,579,0 1785 | 10,582,1 1786 | 10,583,1 1787 | 10,593,1 1788 | 10,599,1 1789 | 10,601,1 1790 | 10,612,1 1791 | 10,637,1 1792 | 10,643,1 1793 | 10,646,1 1794 | 10,652,1 1795 | 10,670,1 1796 | 10,676,0 1797 | 10,677,0 1798 | 10,688,0 1799 | 10,689,1 1800 | 10,692,0 1801 | 10,693,1 1802 | 10,694,1 1803 | 10,695,1 1804 | 10,696,0 1805 | 10,705,0 1806 | 10,706,1 1807 | 10,707,0 1808 | 10,708,1 1809 | 10,713,1 1810 | 10,727,0 1811 | 10,728,0 1812 | 10,732,1 1813 | 10,738,1 1814 | 10,747,0 1815 | 10,748,1 1816 | 10,750,0 1817 | 10,751,1 1818 | 10,752,0 1819 | 10,753,0 1820 | 10,754,1 1821 | 10,755,1 1822 | 10,756,0 1823 | 10,759,1 1824 | 10,760,0 1825 | 10,761,0 1826 | 10,762,0 1827 | 10,763,1 1828 | 10,766,0 1829 | 10,775,1 1830 | 10,776,1 1831 | 10,779,1 1832 | 10,781,0 1833 | 10,788,1 1834 | 10,789,1 1835 | 10,792,0 1836 | 10,795,1 1837 | 10,796,0 1838 | 10,805,1 1839 | 10,825,1 1840 | 10,826,1 1841 | 10,835,1 1842 | 10,839,0 1843 | 10,846,1 1844 | 10,849,1 1845 | 10,857,0 1846 | 10,859,0 1847 | 10,860,0 1848 | 10,861,0 1849 | 10,863,1 1850 | 10,867,1 1851 | 10,869,1 1852 | 10,871,1 1853 | 10,872,1 1854 | 10,873,1 1855 | 10,878,1 1856 | 10,879,0 1857 | 10,880,0 1858 | 10,881,1 1859 | 10,886,0 1860 | 10,892,1 1861 | 10,893,1 1862 | 10,894,1 1863 | 10,897,1 1864 | 10,898,1 1865 | 10,899,0 1866 | 10,900,1 1867 | 11,1,1 1868 | 11,6,1 1869 | 11,17,1 1870 | 11,22,1 1871 | 11,59,1 1872 | 11,61,0 1873 | 11,66,1 1874 | 11,79,1 1875 | 11,80,1 1876 | 11,81,0 1877 | 11,91,1 1878 | 11,95,1 1879 | 11,96,1 1880 | 11,98,1 1881 | 11,115,0 1882 | 11,118,0 1883 | 11,119,1 1884 | 11,121,1 1885 | 11,122,1 1886 | 11,123,1 1887 | 11,125,0 1888 | 11,126,0 1889 | 11,149,0 1890 | 11,150,1 1891 | 11,163,1 1892 | 11,169,1 1893 | 11,172,1 1894 | 11,175,1 1895 | 11,177,1 1896 | 11,178,1 1897 | 11,179,0 1898 | 11,197,1 1899 | 11,202,1 1900 | 11,204,0 1901 | 11,206,0 1902 | 11,207,0 1903 | 11,211,1 1904 | 11,212,1 1905 | 11,215,1 1906 | 11,216,0 1907 | 11,217,0 1908 | 11,223,1 1909 | 11,224,1 1910 | 11,226,1 1911 | 11,228,0 1912 | 11,229,1 1913 | 11,230,0 1914 | 11,245,0 1915 | 11,262,1 1916 | 11,263,1 1917 | 11,268,0 1918 | 11,284,1 1919 | 11,296,1 1920 | 11,308,1 1921 | 11,309,1 1922 | 11,327,0 1923 | 11,328,1 1924 | 11,342,1 1925 | 11,343,1 1926 | 11,359,1 1927 | 11,363,0 1928 | 11,366,1 1929 | 11,367,1 1930 | 11,370,1 1931 | 11,378,0 1932 | 11,379,0 1933 | 11,411,1 1934 | 11,414,1 1935 | 11,432,1 1936 | 11,433,1 1937 | 11,443,0 1938 | 11,445,0 1939 | 11,450,0 1940 | 11,451,1 1941 | 11,458,1 1942 | 11,459,1 1943 | 11,462,1 1944 | 11,463,1 1945 | 11,464,0 1946 | 11,465,0 1947 | 11,472,1 1948 | 11,478,1 1949 | 11,487,1 1950 | 11,488,1 1951 | 11,490,1 1952 | 11,495,0 1953 | 11,496,0 1954 | 11,497,1 1955 | 11,498,0 1956 | 11,499,1 1957 | 11,502,0 1958 | 11,516,1 1959 | 11,520,0 1960 | 11,522,1 1961 | 11,542,0 1962 | 11,543,0 1963 | 11,546,1 1964 | 11,549,1 1965 | 11,550,0 1966 | 11,553,0 1967 | 11,554,0 1968 | 11,555,0 1969 | 11,556,0 1970 | 11,561,1 1971 | 11,562,1 1972 | 11,564,0 1973 | 11,578,1 1974 | 11,586,1 1975 | 11,590,0 1976 | 11,594,1 1977 | 11,595,1 1978 | 11,597,0 1979 | 11,598,1 1980 | 11,612,1 1981 | 11,618,0 1982 | 11,622,1 1983 | 11,625,1 1984 | 11,636,1 1985 | 11,645,1 1986 | 11,646,1 1987 | 11,648,1 1988 | 11,658,0 1989 | 11,666,1 1990 | 11,669,1 1991 | 11,675,0 1992 | 11,687,0 1993 | 11,689,1 1994 | 11,691,0 1995 | 11,692,0 1996 | 11,693,0 1997 | 11,694,1 1998 | 11,695,1 1999 | 11,696,1 2000 | 11,726,1 2001 | 11,729,1 2002 | 11,730,0 2003 | 11,747,1 2004 | 11,751,1 2005 | 11,756,1 2006 | 11,763,0 2007 | 11,776,1 2008 | 11,777,1 2009 | 11,788,1 2010 | 11,789,0 2011 | 11,792,1 2012 | 11,800,0 2013 | 11,805,1 2014 | 11,809,1 2015 | 11,825,1 2016 | 11,830,0 2017 | 11,832,0 2018 | 11,834,0 2019 | 11,839,0 2020 | 11,840,0 2021 | 11,847,1 2022 | 11,859,1 2023 | 11,860,0 2024 | 11,882,0 2025 | 11,884,0 2026 | 11,886,0 2027 | 11,890,0 2028 | 12,15,1 2029 | 12,17,1 2030 | 12,31,0 2031 | 12,43,1 2032 | 12,46,1 2033 | 12,58,0 2034 | 12,61,0 2035 | 12,64,0 2036 | 12,65,1 2037 | 12,74,1 2038 | 12,75,0 2039 | 12,80,1 2040 | 12,91,1 2041 | 12,92,0 2042 | 12,93,1 2043 | 12,95,0 2044 | 12,96,1 2045 | 12,97,1 2046 | 12,98,1 2047 | 12,101,1 2048 | 12,110,1 2049 | 12,113,1 2050 | 12,134,0 2051 | 12,136,0 2052 | 12,138,0 2053 | 12,139,1 2054 | 12,140,0 2055 | 12,142,0 2056 | 12,143,1 2057 | 12,159,1 2058 | 12,168,1 2059 | 12,169,1 2060 | 12,170,0 2061 | 12,171,1 2062 | 12,174,0 2063 | 12,177,1 2064 | 12,179,0 2065 | 12,180,1 2066 | 12,217,0 2067 | 12,223,0 2068 | 12,225,0 2069 | 12,226,1 2070 | 12,229,0 2071 | 12,230,1 2072 | 12,233,1 2073 | 12,237,1 2074 | 12,240,1 2075 | 12,252,1 2076 | 12,255,1 2077 | 12,259,0 2078 | 12,261,0 2079 | 12,263,1 2080 | 12,264,1 2081 | 12,279,1 2082 | 12,281,1 2083 | 12,285,1 2084 | 12,286,1 2085 | 12,298,0 2086 | 12,306,1 2087 | 12,307,1 2088 | 12,313,0 2089 | 12,316,1 2090 | 12,334,0 2091 | 12,350,0 2092 | 12,362,1 2093 | 12,363,0 2094 | 12,382,1 2095 | 12,388,1 2096 | 12,390,0 2097 | 12,391,0 2098 | 12,392,1 2099 | 12,409,0 2100 | 12,424,1 2101 | 12,427,0 2102 | 12,431,0 2103 | 12,449,1 2104 | 12,451,0 2105 | 12,453,1 2106 | 12,472,0 2107 | 12,479,1 2108 | 12,488,1 2109 | 12,502,1 2110 | 12,513,1 2111 | 12,518,1 2112 | 12,523,0 2113 | 12,530,1 2114 | 12,536,1 2115 | 12,538,1 2116 | 12,552,0 2117 | 12,557,1 2118 | 12,561,1 2119 | 12,563,0 2120 | 12,564,1 2121 | 12,565,0 2122 | 12,582,0 2123 | 12,583,1 2124 | 12,586,1 2125 | 12,587,1 2126 | 12,603,0 2127 | 12,611,1 2128 | 12,613,0 2129 | 12,620,0 2130 | 12,632,1 2131 | 12,644,1 2132 | 12,645,1 2133 | 12,646,1 2134 | 12,647,1 2135 | 12,650,0 2136 | 12,651,0 2137 | 12,652,0 2138 | 12,658,0 2139 | 12,669,1 2140 | 12,676,1 2141 | 12,677,0 2142 | 12,678,0 2143 | 12,679,0 2144 | 12,683,1 2145 | 12,686,1 2146 | 12,688,1 2147 | 12,689,0 2148 | 12,696,0 2149 | 12,706,1 2150 | 12,725,1 2151 | 12,727,1 2152 | 12,733,1 2153 | 12,737,1 2154 | 12,742,1 2155 | 12,751,1 2156 | 12,759,1 2157 | 12,762,1 2158 | 12,763,1 2159 | 12,765,0 2160 | 12,766,0 2161 | 12,774,0 2162 | 12,775,1 2163 | 12,776,1 2164 | 12,778,1 2165 | 12,781,1 2166 | 12,788,1 2167 | 12,790,1 2168 | 12,791,0 2169 | 12,792,1 2170 | 12,793,1 2171 | 12,794,1 2172 | 12,795,0 2173 | 12,796,0 2174 | 12,797,0 2175 | 12,800,0 2176 | 12,805,1 2177 | 12,806,1 2178 | 12,826,0 2179 | 12,830,1 2180 | 12,831,0 2181 | 12,832,0 2182 | 12,833,1 2183 | 12,834,0 2184 | 12,835,0 2185 | 12,836,1 2186 | 12,838,0 2187 | 12,839,0 2188 | 12,840,0 2189 | 12,841,0 2190 | 12,842,1 2191 | 12,847,0 2192 | 12,851,1 2193 | 12,852,0 2194 | 12,855,1 2195 | 12,859,0 2196 | 12,861,0 2197 | 12,865,1 2198 | 12,867,1 2199 | 12,868,1 2200 | 12,869,1 2201 | 12,872,1 2202 | 12,877,0 2203 | 12,884,0 2204 | 12,885,0 2205 | 12,886,0 2206 | 12,887,1 2207 | 12,888,0 2208 | 12,889,0 2209 | 12,890,0 2210 | 12,892,0 2211 | 12,897,1 2212 | 12,898,1 2213 | 12,899,1 2214 | 12,902,1 2215 | 13,20,0 2216 | 13,38,1 2217 | 13,43,1 2218 | 13,45,1 2219 | 13,49,0 2220 | 13,52,0 2221 | 13,53,1 2222 | 13,61,0 2223 | 13,69,1 2224 | 13,80,0 2225 | 13,81,1 2226 | 13,84,1 2227 | 13,91,1 2228 | 13,92,1 2229 | 13,94,1 2230 | 13,95,1 2231 | 13,96,1 2232 | 13,97,1 2233 | 13,98,1 2234 | 13,99,0 2235 | 13,100,1 2236 | 13,106,1 2237 | 13,108,0 2238 | 13,111,0 2239 | 13,122,0 2240 | 13,150,0 2241 | 13,159,1 2242 | 13,171,0 2243 | 13,172,0 2244 | 13,174,1 2245 | 13,175,0 2246 | 13,176,0 2247 | 13,177,0 2248 | 13,180,1 2249 | 13,182,0 2250 | 13,197,1 2251 | 13,198,0 2252 | 13,201,1 2253 | 13,208,0 2254 | 13,210,1 2255 | 13,215,1 2256 | 13,216,0 2257 | 13,217,0 2258 | 13,218,0 2259 | 13,219,1 2260 | 13,220,0 2261 | 13,224,0 2262 | 13,226,0 2263 | 13,227,1 2264 | 13,228,0 2265 | 13,229,1 2266 | 13,230,0 2267 | 13,247,0 2268 | 13,250,1 2269 | 13,251,1 2270 | 13,259,1 2271 | 13,261,0 2272 | 13,285,1 2273 | 13,298,0 2274 | 13,299,0 2275 | 13,305,0 2276 | 13,321,1 2277 | 13,326,0 2278 | 13,327,0 2279 | 13,328,0 2280 | 13,343,0 2281 | 13,347,1 2282 | 13,364,0 2283 | 13,365,1 2284 | 13,368,1 2285 | 13,378,0 2286 | 13,381,0 2287 | 13,410,0 2288 | 13,412,0 2289 | 13,413,1 2290 | 13,430,0 2291 | 13,431,0 2292 | 13,432,0 2293 | 13,433,0 2294 | 13,439,0 2295 | 13,440,1 2296 | 13,457,0 2297 | 13,459,1 2298 | 13,472,0 2299 | 13,473,0 2300 | 13,487,1 2301 | 13,488,0 2302 | 13,514,0 2303 | 13,515,1 2304 | 13,517,1 2305 | 13,518,0 2306 | 13,534,1 2307 | 13,536,0 2308 | 13,537,1 2309 | 13,538,0 2310 | 13,545,1 2311 | 13,552,0 2312 | 13,556,1 2313 | 13,576,1 2314 | 13,579,0 2315 | 13,580,1 2316 | 13,581,1 2317 | 13,584,0 2318 | 13,590,0 2319 | 13,611,0 2320 | 13,613,0 2321 | 13,622,0 2322 | 13,624,1 2323 | 13,628,1 2324 | 13,636,1 2325 | 13,643,1 2326 | 13,644,1 2327 | 13,645,1 2328 | 13,656,0 2329 | 13,658,0 2330 | 13,662,0 2331 | 13,670,1 2332 | 13,686,0 2333 | 13,688,1 2334 | 13,689,1 2335 | 13,691,0 2336 | 13,706,0 2337 | 13,707,0 2338 | 13,708,0 2339 | 13,712,0 2340 | 13,725,1 2341 | 13,729,1 2342 | 13,737,0 2343 | 13,744,1 2344 | 13,745,0 2345 | 13,746,1 2346 | 13,747,1 2347 | 13,748,0 2348 | 13,750,1 2349 | 13,751,1 2350 | 13,756,1 2351 | 13,758,0 2352 | 13,759,0 2353 | 13,760,0 2354 | 13,763,1 2355 | 13,776,1 2356 | 13,777,0 2357 | 13,784,1 2358 | 13,800,0 2359 | 13,802,1 2360 | 13,804,0 2361 | 13,805,1 2362 | 13,806,0 2363 | 13,812,1 2364 | 13,813,0 2365 | 13,818,1 2366 | 13,822,0 2367 | 13,824,1 2368 | 13,825,0 2369 | 13,828,1 2370 | 13,847,1 2371 | 13,848,1 2372 | 13,849,1 2373 | 13,853,0 2374 | 13,862,0 2375 | 13,876,0 2376 | 13,877,1 2377 | 14,13,1 2378 | 14,15,1 2379 | 14,17,0 2380 | 14,21,1 2381 | 14,22,1 2382 | 14,23,1 2383 | 14,27,1 2384 | 14,46,0 2385 | 14,47,1 2386 | 14,48,1 2387 | 14,49,1 2388 | 14,50,1 2389 | 14,51,0 2390 | 14,52,1 2391 | 14,58,1 2392 | 14,59,1 2393 | 14,61,1 2394 | 14,63,1 2395 | 14,73,0 2396 | 14,74,0 2397 | 14,75,1 2398 | 14,85,1 2399 | 14,92,1 2400 | 14,94,1 2401 | 14,96,1 2402 | 14,98,0 2403 | 14,107,1 2404 | 14,109,1 2405 | 14,111,1 2406 | 14,112,1 2407 | 14,117,0 2408 | 14,118,1 2409 | 14,119,0 2410 | 14,121,0 2411 | 14,123,1 2412 | 14,125,1 2413 | 14,126,0 2414 | 14,127,0 2415 | 14,136,1 2416 | 14,137,1 2417 | 14,138,1 2418 | 14,139,1 2419 | 14,140,0 2420 | 14,148,1 2421 | 14,164,0 2422 | 14,171,1 2423 | 14,173,1 2424 | 14,183,0 2425 | 14,184,1 2426 | 14,197,1 2427 | 14,200,1 2428 | 14,201,1 2429 | 14,204,1 2430 | 14,207,0 2431 | 14,215,1 2432 | 14,217,1 2433 | 14,219,1 2434 | 14,226,1 2435 | 14,233,0 2436 | 14,243,1 2437 | 14,245,1 2438 | 14,246,0 2439 | 14,255,1 2440 | 14,260,1 2441 | 14,263,1 2442 | 14,278,1 2443 | 14,308,1 2444 | 14,309,1 2445 | 14,333,1 2446 | 14,355,1 2447 | 14,367,0 2448 | 14,368,0 2449 | 14,378,0 2450 | 14,390,1 2451 | 14,430,1 2452 | 14,442,0 2453 | 14,443,0 2454 | 14,445,0 2455 | 14,448,0 2456 | 14,449,1 2457 | 14,451,1 2458 | 14,463,0 2459 | 14,464,1 2460 | 14,465,0 2461 | 14,476,0 2462 | 14,477,0 2463 | 14,487,1 2464 | 14,491,0 2465 | 14,495,0 2466 | 14,496,0 2467 | 14,497,1 2468 | 14,498,0 2469 | 14,502,1 2470 | 14,513,0 2471 | 14,522,1 2472 | 14,536,1 2473 | 14,542,1 2474 | 14,547,0 2475 | 14,550,0 2476 | 14,551,0 2477 | 14,552,0 2478 | 14,553,0 2479 | 14,554,0 2480 | 14,556,0 2481 | 14,561,0 2482 | 14,562,1 2483 | 14,563,1 2484 | 14,564,1 2485 | 14,576,1 2486 | 14,578,1 2487 | 14,595,0 2488 | 14,596,0 2489 | 14,597,1 2490 | 14,602,1 2491 | 14,624,1 2492 | 14,626,1 2493 | 14,635,1 2494 | 14,643,1 2495 | 14,644,1 2496 | 14,673,1 2497 | 14,674,0 2498 | 14,675,1 2499 | 14,682,1 2500 | 14,688,1 2501 | 14,690,0 2502 | 14,705,0 2503 | 14,707,1 2504 | 14,719,1 2505 | 14,726,1 2506 | 14,737,1 2507 | 14,740,1 2508 | 14,741,1 2509 | 14,751,1 2510 | 14,752,0 2511 | 14,753,0 2512 | 14,754,1 2513 | 14,755,1 2514 | 14,758,0 2515 | 14,763,1 2516 | 14,775,1 2517 | 14,776,1 2518 | 14,783,0 2519 | 14,790,0 2520 | 14,791,0 2521 | 14,792,0 2522 | 14,794,0 2523 | 14,804,0 2524 | 14,805,1 2525 | 14,808,1 2526 | 14,816,1 2527 | 14,822,0 2528 | 14,823,1 2529 | 14,831,0 2530 | 14,834,1 2531 | 14,835,0 2532 | 14,836,1 2533 | 14,838,0 2534 | 14,840,1 2535 | 14,842,0 2536 | 14,853,1 2537 | 14,860,0 2538 | 14,870,1 2539 | 14,871,1 2540 | 14,882,1 2541 | 14,890,0 2542 | 14,895,1 2543 | 14,897,1 2544 | 14,898,1 2545 | 14,900,1 2546 | 14,901,1 2547 | 15,2,1 2548 | 15,18,1 2549 | 15,44,0 2550 | 15,51,0 2551 | 15,60,0 2552 | 15,61,0 2553 | 15,62,0 2554 | 15,63,1 2555 | 15,64,1 2556 | 15,65,0 2557 | 15,66,0 2558 | 15,67,1 2559 | 15,69,0 2560 | 15,70,1 2561 | 15,74,1 2562 | 15,75,0 2563 | 15,76,1 2564 | 15,77,1 2565 | 15,78,1 2566 | 15,91,0 2567 | 15,96,1 2568 | 15,101,0 2569 | 15,122,0 2570 | 15,123,1 2571 | 15,125,0 2572 | 15,137,0 2573 | 15,139,0 2574 | 15,159,0 2575 | 15,160,0 2576 | 15,161,1 2577 | 15,162,0 2578 | 15,163,0 2579 | 15,164,1 2580 | 15,165,0 2581 | 15,166,0 2582 | 15,173,1 2583 | 15,175,0 2584 | 15,176,1 2585 | 15,180,1 2586 | 15,197,0 2587 | 15,208,0 2588 | 15,211,1 2589 | 15,217,0 2590 | 15,218,1 2591 | 15,220,0 2592 | 15,221,1 2593 | 15,222,0 2594 | 15,223,0 2595 | 15,224,0 2596 | 15,225,1 2597 | 15,226,1 2598 | 15,228,0 2599 | 15,240,1 2600 | 15,254,1 2601 | 15,260,1 2602 | 15,263,1 2603 | 15,272,0 2604 | 15,278,1 2605 | 15,309,1 2606 | 15,327,1 2607 | 15,328,0 2608 | 15,334,1 2609 | 15,335,0 2610 | 15,363,1 2611 | 15,364,1 2612 | 15,373,0 2613 | 15,411,1 2614 | 15,414,1 2615 | 15,431,0 2616 | 15,432,1 2617 | 15,459,1 2618 | 15,473,1 2619 | 15,487,1 2620 | 15,488,0 2621 | 15,495,1 2622 | 15,508,1 2623 | 15,538,1 2624 | 15,542,1 2625 | 15,553,1 2626 | 15,556,0 2627 | 15,564,1 2628 | 15,574,1 2629 | 15,575,1 2630 | 15,576,0 2631 | 15,577,0 2632 | 15,578,1 2633 | 15,579,1 2634 | 15,580,0 2635 | 15,581,0 2636 | 15,587,1 2637 | 15,590,0 2638 | 15,602,1 2639 | 15,610,0 2640 | 15,612,1 2641 | 15,613,1 2642 | 15,622,1 2643 | 15,623,1 2644 | 15,633,1 2645 | 15,643,1 2646 | 15,644,1 2647 | 15,645,1 2648 | 15,646,1 2649 | 15,668,1 2650 | 15,669,1 2651 | 15,670,1 2652 | 15,674,1 2653 | 15,684,1 2654 | 15,685,1 2655 | 15,689,1 2656 | 15,691,0 2657 | 15,703,1 2658 | 15,705,0 2659 | 15,706,1 2660 | 15,707,0 2661 | 15,708,0 2662 | 15,723,0 2663 | 15,724,0 2664 | 15,726,0 2665 | 15,737,0 2666 | 15,738,0 2667 | 15,744,1 2668 | 15,745,0 2669 | 15,746,0 2670 | 15,747,0 2671 | 15,748,0 2672 | 15,750,0 2673 | 15,751,1 2674 | 15,752,0 2675 | 15,753,1 2676 | 15,754,1 2677 | 15,755,0 2678 | 15,758,1 2679 | 15,759,0 2680 | 15,760,0 2681 | 15,761,0 2682 | 15,763,0 2683 | 15,775,1 2684 | 15,778,0 2685 | 15,805,1 2686 | 15,806,1 2687 | 15,812,1 2688 | 15,825,0 2689 | 15,829,0 2690 | 15,844,1 2691 | 15,847,0 2692 | 15,848,1 2693 | 15,856,1 2694 | 15,861,0 2695 | 15,862,0 2696 | 15,878,1 2697 | 15,879,1 2698 | 15,880,0 2699 | 16,1,1 2700 | 16,3,0 2701 | 16,12,1 2702 | 16,17,0 2703 | 16,30,0 2704 | 16,45,1 2705 | 16,52,1 2706 | 16,58,0 2707 | 16,61,1 2708 | 16,68,0 2709 | 16,69,0 2710 | 16,73,0 2711 | 16,74,0 2712 | 16,75,0 2713 | 16,78,1 2714 | 16,83,1 2715 | 16,84,1 2716 | 16,85,0 2717 | 16,90,1 2718 | 16,91,1 2719 | 16,95,1 2720 | 16,97,1 2721 | 16,99,1 2722 | 16,104,0 2723 | 16,105,1 2724 | 16,108,0 2725 | 16,110,1 2726 | 16,111,1 2727 | 16,113,0 2728 | 16,115,1 2729 | 16,117,1 2730 | 16,118,1 2731 | 16,127,0 2732 | 16,133,1 2733 | 16,135,0 2734 | 16,140,1 2735 | 16,143,1 2736 | 16,161,1 2737 | 16,162,1 2738 | 16,165,0 2739 | 16,167,0 2740 | 16,170,1 2741 | 16,172,0 2742 | 16,173,0 2743 | 16,174,0 2744 | 16,175,1 2745 | 16,176,1 2746 | 16,178,1 2747 | 16,179,0 2748 | 16,181,0 2749 | 16,182,0 2750 | 16,183,1 2751 | 16,198,1 2752 | 16,205,1 2753 | 16,208,0 2754 | 16,216,0 2755 | 16,220,0 2756 | 16,223,1 2757 | 16,228,0 2758 | 16,229,0 2759 | 16,240,0 2760 | 16,242,0 2761 | 16,246,0 2762 | 16,249,1 2763 | 16,254,1 2764 | 16,256,1 2765 | 16,259,1 2766 | 16,266,1 2767 | 16,274,1 2768 | 16,283,1 2769 | 16,284,1 2770 | 16,298,0 2771 | 16,300,0 2772 | 16,308,1 2773 | 16,310,0 2774 | 16,315,1 2775 | 16,320,1 2776 | 16,323,1 2777 | 16,326,0 2778 | 16,327,1 2779 | 16,329,0 2780 | 16,339,1 2781 | 16,349,1 2782 | 16,363,1 2783 | 16,367,0 2784 | 16,379,1 2785 | 16,382,1 2786 | 16,389,1 2787 | 16,398,1 2788 | 16,402,0 2789 | 16,433,0 2790 | 16,439,1 2791 | 16,453,1 2792 | 16,457,0 2793 | 16,458,0 2794 | 16,459,1 2795 | 16,463,1 2796 | 16,473,1 2797 | 16,487,1 2798 | 16,488,1 2799 | 16,499,0 2800 | 16,502,1 2801 | 16,505,1 2802 | 16,523,0 2803 | 16,536,1 2804 | 16,537,1 2805 | 16,561,0 2806 | 16,562,1 2807 | 16,564,0 2808 | 16,565,0 2809 | 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2872 | 16,842,0 2873 | 16,847,1 2874 | 16,848,1 2875 | 16,851,0 2876 | 16,852,0 2877 | 16,855,0 2878 | 16,856,1 2879 | 16,875,1 2880 | 16,881,1 2881 | 16,885,0 2882 | 16,887,1 2883 | 16,888,0 2884 | 16,889,0 2885 | 16,890,0 2886 | 17,12,1 2887 | 17,14,1 2888 | 17,19,1 2889 | 17,25,1 2890 | 17,46,1 2891 | 17,58,1 2892 | 17,59,1 2893 | 17,63,1 2894 | 17,64,0 2895 | 17,65,1 2896 | 17,67,1 2897 | 17,70,0 2898 | 17,71,1 2899 | 17,74,1 2900 | 17,76,0 2901 | 17,80,1 2902 | 17,91,1 2903 | 17,93,1 2904 | 17,95,1 2905 | 17,96,0 2906 | 17,98,1 2907 | 17,99,0 2908 | 17,100,0 2909 | 17,101,1 2910 | 17,111,1 2911 | 17,113,0 2912 | 17,116,1 2913 | 17,121,0 2914 | 17,122,1 2915 | 17,127,1 2916 | 17,136,0 2917 | 17,137,1 2918 | 17,139,0 2919 | 17,141,1 2920 | 17,142,1 2921 | 17,150,1 2922 | 17,160,1 2923 | 17,162,0 2924 | 17,163,1 2925 | 17,165,1 2926 | 17,170,1 2927 | 17,173,1 2928 | 17,203,1 2929 | 17,204,0 2930 | 17,207,1 2931 | 17,209,1 2932 | 17,220,0 2933 | 17,225,0 2934 | 17,228,1 2935 | 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2998 | 17,705,1 2999 | 17,706,1 3000 | 17,709,1 3001 | 17,726,1 3002 | 17,736,1 3003 | 17,737,1 3004 | 17,750,1 3005 | 17,751,1 3006 | 17,752,1 3007 | 17,762,1 3008 | 17,766,1 3009 | 17,775,1 3010 | 17,778,1 3011 | 17,780,1 3012 | 17,783,1 3013 | 17,788,0 3014 | 17,790,0 3015 | 17,791,1 3016 | 17,805,1 3017 | 17,806,1 3018 | 17,813,1 3019 | 17,815,1 3020 | 17,816,0 3021 | 17,818,1 3022 | 17,825,0 3023 | 17,827,1 3024 | 17,832,0 3025 | 17,834,1 3026 | 17,835,1 3027 | 17,839,0 3028 | 17,841,0 3029 | 17,849,1 3030 | 17,854,1 3031 | 17,856,1 3032 | 17,861,1 3033 | 17,871,1 3034 | 17,873,1 3035 | 17,874,0 3036 | 17,884,0 3037 | 17,887,1 3038 | 17,888,1 3039 | 17,893,1 3040 | 17,895,1 3041 | 17,900,0 3042 | 17,901,1 3043 | 18,27,0 3044 | 18,32,1 3045 | 18,35,0 3046 | 18,48,1 3047 | 18,56,1 3048 | 18,59,0 3049 | 18,60,1 3050 | 18,74,0 3051 | 18,76,0 3052 | 18,77,0 3053 | 18,80,1 3054 | 18,92,1 3055 | 18,93,1 3056 | 18,94,0 3057 | 18,96,1 3058 | 18,98,1 3059 | 18,99,1 3060 | 18,101,0 3061 | 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3375 | 19,827,0 3376 | 19,828,1 3377 | 19,834,0 3378 | 19,841,0 3379 | 19,849,0 3380 | 19,851,0 3381 | 19,860,1 3382 | 19,862,1 3383 | 19,865,1 3384 | 19,866,1 3385 | 19,867,1 3386 | 19,869,1 3387 | 19,870,1 3388 | 19,871,0 3389 | 19,878,0 3390 | 19,880,0 3391 | 19,881,1 3392 | 19,884,1 3393 | 19,886,0 3394 | 19,887,1 3395 | 19,891,0 3396 | 19,895,1 3397 | 19,896,1 3398 | 19,897,1 3399 | 19,900,0 3400 | 19,902,1 3401 | 20,23,1 3402 | 20,31,1 3403 | 20,54,1 3404 | 20,56,0 3405 | 20,59,1 3406 | 20,60,0 3407 | 20,62,1 3408 | 20,63,0 3409 | 20,64,0 3410 | 20,66,1 3411 | 20,67,1 3412 | 20,69,0 3413 | 20,72,1 3414 | 20,75,0 3415 | 20,76,0 3416 | 20,79,1 3417 | 20,91,1 3418 | 20,94,1 3419 | 20,96,1 3420 | 20,101,1 3421 | 20,104,0 3422 | 20,115,0 3423 | 20,116,0 3424 | 20,117,0 3425 | 20,131,1 3426 | 20,134,0 3427 | 20,135,0 3428 | 20,140,1 3429 | 20,141,0 3430 | 20,150,1 3431 | 20,153,1 3432 | 20,156,1 3433 | 20,159,1 3434 | 20,162,0 3435 | 20,166,1 3436 | 20,167,1 3437 | 20,179,0 3438 | 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3501 | 20,584,0 3502 | 20,596,1 3503 | 20,597,0 3504 | 20,598,0 3505 | 20,599,1 3506 | 20,610,0 3507 | 20,612,0 3508 | 20,618,0 3509 | 20,622,0 3510 | 20,624,1 3511 | 20,626,1 3512 | 20,628,1 3513 | 20,644,1 3514 | 20,652,1 3515 | 20,668,1 3516 | 20,675,0 3517 | 20,676,1 3518 | 20,682,1 3519 | 20,689,1 3520 | 20,696,1 3521 | 20,722,1 3522 | 20,724,1 3523 | 20,730,1 3524 | 20,732,1 3525 | 20,736,1 3526 | 20,738,0 3527 | 20,745,0 3528 | 20,746,0 3529 | 20,747,0 3530 | 20,750,0 3531 | 20,760,0 3532 | 20,761,0 3533 | 20,762,1 3534 | 20,775,1 3535 | 20,777,1 3536 | 20,779,1 3537 | 20,780,1 3538 | 20,790,1 3539 | 20,793,1 3540 | 20,794,0 3541 | 20,804,1 3542 | 20,813,1 3543 | 20,825,0 3544 | 20,827,1 3545 | 20,834,0 3546 | 20,836,1 3547 | 20,840,0 3548 | 20,841,0 3549 | 20,842,0 3550 | 20,849,0 3551 | 20,859,0 3552 | 20,861,1 3553 | 20,862,1 3554 | 20,863,1 3555 | 20,881,1 3556 | 20,884,1 3557 | 21,3,1 3558 | 21,18,0 3559 | 21,23,1 3560 | 21,28,0 3561 | 21,43,0 3562 | 21,47,1 3563 | 21,58,1 3564 | 21,62,1 3565 | 21,64,1 3566 | 21,74,1 3567 | 21,79,1 3568 | 21,91,1 3569 | 21,92,0 3570 | 21,93,1 3571 | 21,95,0 3572 | 21,96,1 3573 | 21,98,1 3574 | 21,99,1 3575 | 21,101,1 3576 | 21,108,1 3577 | 21,109,1 3578 | 21,116,0 3579 | 21,117,0 3580 | 21,118,1 3581 | 21,119,0 3582 | 21,121,1 3583 | 21,125,0 3584 | 21,133,1 3585 | 21,134,0 3586 | 21,135,1 3587 | 21,136,1 3588 | 21,137,0 3589 | 21,138,0 3590 | 21,143,0 3591 | 21,165,0 3592 | 21,203,1 3593 | 21,205,0 3594 | 21,206,1 3595 | 21,221,1 3596 | 21,223,1 3597 | 21,226,0 3598 | 21,228,1 3599 | 21,229,0 3600 | 21,250,1 3601 | 21,253,1 3602 | 21,265,1 3603 | 21,269,1 3604 | 21,282,1 3605 | 21,298,1 3606 | 21,299,1 3607 | 21,308,0 3608 | 21,309,0 3609 | 21,310,0 3610 | 21,316,1 3611 | 21,320,1 3612 | 21,327,1 3613 | 21,328,1 3614 | 21,333,1 3615 | 21,369,1 3616 | 21,378,1 3617 | 21,410,1 3618 | 21,413,1 3619 | 21,414,1 3620 | 21,429,1 3621 | 21,442,1 3622 | 21,443,1 3623 | 21,445,1 3624 | 21,449,0 3625 | 21,450,1 3626 | 21,453,1 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22,135,1 3753 | 22,137,0 3754 | 22,138,1 3755 | 22,139,0 3756 | 22,142,1 3757 | 22,163,0 3758 | 22,171,0 3759 | 22,173,0 3760 | 22,174,1 3761 | 22,175,1 3762 | 22,176,1 3763 | 22,179,0 3764 | 22,180,0 3765 | 22,182,0 3766 | 22,184,1 3767 | 22,190,1 3768 | 22,197,0 3769 | 22,200,1 3770 | 22,201,1 3771 | 22,204,1 3772 | 22,207,0 3773 | 22,211,1 3774 | 22,213,0 3775 | 22,215,0 3776 | 22,217,0 3777 | 22,219,1 3778 | 22,220,1 3779 | 22,221,0 3780 | 22,222,1 3781 | 22,223,1 3782 | 22,240,1 3783 | 22,247,0 3784 | 22,258,1 3785 | 22,263,1 3786 | 22,267,1 3787 | 22,298,1 3788 | 22,306,1 3789 | 22,308,0 3790 | 22,310,1 3791 | 22,311,1 3792 | 22,312,1 3793 | 22,315,1 3794 | 22,326,1 3795 | 22,330,1 3796 | 22,342,1 3797 | 22,343,1 3798 | 22,347,0 3799 | 22,363,1 3800 | 22,364,0 3801 | 22,366,1 3802 | 22,367,0 3803 | 22,368,1 3804 | 22,378,1 3805 | 22,382,0 3806 | 22,402,1 3807 | 22,410,1 3808 | 22,412,0 3809 | 22,413,1 3810 | 22,416,1 3811 | 22,430,1 3812 | 22,433,0 3813 | 22,444,1 3814 | 22,449,1 3815 | 22,451,1 3816 | 22,457,0 3817 | 22,458,1 3818 | 22,463,1 3819 | 22,465,1 3820 | 22,467,1 3821 | 22,469,0 3822 | 22,470,1 3823 | 22,472,1 3824 | 22,473,0 3825 | 22,476,1 3826 | 22,486,0 3827 | 22,487,1 3828 | 22,488,1 3829 | 22,495,0 3830 | 22,496,0 3831 | 22,497,1 3832 | 22,498,1 3833 | 22,499,0 3834 | 22,510,1 3835 | 22,518,1 3836 | 22,522,1 3837 | 22,536,1 3838 | 22,537,0 3839 | 22,538,1 3840 | 22,543,1 3841 | 22,550,1 3842 | 22,551,0 3843 | 22,553,0 3844 | 22,554,0 3845 | 22,555,0 3846 | 22,556,1 3847 | 22,566,1 3848 | 22,569,0 3849 | 22,576,0 3850 | 22,577,1 3851 | 22,578,0 3852 | 22,579,0 3853 | 22,581,0 3854 | 22,583,1 3855 | 22,584,0 3856 | 22,585,1 3857 | 22,597,0 3858 | 22,598,0 3859 | 22,605,0 3860 | 22,606,1 3861 | 22,622,1 3862 | 22,624,0 3863 | 22,643,1 3864 | 22,644,1 3865 | 22,645,0 3866 | 22,646,1 3867 | 22,650,1 3868 | 22,651,0 3869 | 22,654,0 3870 | 22,658,0 3871 | 22,670,1 3872 | 22,685,1 3873 | 22,686,1 3874 | 22,687,1 3875 | 22,689,1 3876 | 22,691,0 3877 | 22,706,0 3878 | 22,708,0 3879 | 22,730,1 3880 | 22,734,0 3881 | 22,738,1 3882 | 22,744,1 3883 | 22,746,1 3884 | 22,750,0 3885 | 22,751,0 3886 | 22,752,0 3887 | 22,753,0 3888 | 22,754,1 3889 | 22,755,1 3890 | 22,756,0 3891 | 22,759,0 3892 | 22,765,0 3893 | 22,775,1 3894 | 22,776,1 3895 | 22,777,0 3896 | 22,778,1 3897 | 22,783,1 3898 | 22,788,1 3899 | 22,789,0 3900 | 22,790,1 3901 | 22,801,1 3902 | 22,802,1 3903 | 22,804,0 3904 | 22,805,1 3905 | 22,806,0 3906 | 22,810,0 3907 | 22,813,1 3908 | 22,815,0 3909 | 22,823,1 3910 | 22,828,0 3911 | 22,833,1 3912 | 22,835,0 3913 | 22,859,1 3914 | 22,877,1 3915 | 22,882,0 3916 | 23,0,1 3917 | 23,32,0 3918 | 23,45,0 3919 | 23,46,1 3920 | 23,48,0 3921 | 23,51,1 3922 | 23,58,0 3923 | 23,59,0 3924 | 23,61,1 3925 | 23,63,0 3926 | 23,65,1 3927 | 23,67,1 3928 | 23,68,1 3929 | 23,69,1 3930 | 23,70,0 3931 | 23,71,1 3932 | 23,72,1 3933 | 23,73,1 3934 | 23,74,0 3935 | 23,76,1 3936 | 23,77,0 3937 | 23,79,1 3938 | 23,81,1 3939 | 23,92,1 3940 | 23,93,1 3941 | 23,95,1 3942 | 23,97,1 3943 | 23,98,1 3944 | 23,100,1 3945 | 23,101,1 3946 | 23,109,1 3947 | 23,115,1 3948 | 23,121,1 3949 | 23,122,0 3950 | 23,135,1 3951 | 23,136,1 3952 | 23,139,0 3953 | 23,140,1 3954 | 23,144,1 3955 | 23,160,0 3956 | 23,161,1 3957 | 23,162,1 3958 | 23,167,1 3959 | 23,172,1 3960 | 23,173,1 3961 | 23,174,1 3962 | 23,177,0 3963 | 23,179,1 3964 | 23,202,1 3965 | 23,204,0 3966 | 23,206,0 3967 | 23,207,1 3968 | 23,208,1 3969 | 23,211,0 3970 | 23,212,0 3971 | 23,213,1 3972 | 23,215,0 3973 | 23,217,1 3974 | 23,225,0 3975 | 23,227,0 3976 | 23,229,1 3977 | 23,236,1 3978 | 23,252,1 3979 | 23,262,0 3980 | 23,267,1 3981 | 23,280,1 3982 | 23,310,0 3983 | 23,312,1 3984 | 23,323,0 3985 | 23,337,0 3986 | 23,363,0 3987 | 23,374,1 3988 | 23,386,1 3989 | 23,443,1 3990 | 23,449,0 3991 | 23,450,0 3992 | 23,458,1 3993 | 23,459,1 3994 | 23,465,0 3995 | 23,475,1 3996 | 23,488,1 3997 | 23,492,1 3998 | 23,504,1 3999 | 23,510,0 4000 | 23,511,0 4001 | 23,512,1 4002 | 23,513,1 4003 | 23,515,0 4004 | 23,516,0 4005 | 23,517,0 4006 | 23,518,0 4007 | 23,524,1 4008 | 23,537,1 4009 | 23,542,1 4010 | 23,544,1 4011 | 23,546,1 4012 | 23,547,0 4013 | 23,554,0 4014 | 23,557,0 4015 | 23,561,1 4016 | 23,563,1 4017 | 23,566,1 4018 | 23,576,1 4019 | 23,581,0 4020 | 23,582,1 4021 | 23,583,1 4022 | 23,595,1 4023 | 23,596,0 4024 | 23,597,0 4025 | 23,606,1 4026 | 23,611,1 4027 | 23,612,1 4028 | 23,613,0 4029 | 23,633,0 4030 | 23,634,1 4031 | 23,639,1 4032 | 23,643,1 4033 | 23,644,1 4034 | 23,646,1 4035 | 23,673,0 4036 | 23,675,0 4037 | 23,677,0 4038 | 23,683,1 4039 | 23,684,0 4040 | 23,685,1 4041 | 23,686,1 4042 | 23,687,0 4043 | 23,690,1 4044 | 23,696,1 4045 | 23,705,1 4046 | 23,706,1 4047 | 23,707,1 4048 | 23,710,0 4049 | 23,724,1 4050 | 23,725,1 4051 | 23,726,0 4052 | 23,733,1 4053 | 23,736,0 4054 | 23,737,0 4055 | 23,738,1 4056 | 23,744,0 4057 | 23,748,1 4058 | 23,760,1 4059 | 23,761,0 4060 | 23,762,1 4061 | 23,763,1 4062 | 23,764,1 4063 | 23,770,1 4064 | 23,776,1 4065 | 23,778,1 4066 | 23,780,1 4067 | 23,785,1 4068 | 23,801,1 4069 | 23,802,1 4070 | 23,805,1 4071 | 23,808,1 4072 | 23,809,1 4073 | 23,810,1 4074 | 23,812,0 4075 | 23,813,1 4076 | 23,816,1 4077 | 23,821,1 4078 | 23,824,0 4079 | 23,825,0 4080 | 23,826,0 4081 | 23,827,0 4082 | 23,828,1 4083 | 23,830,0 4084 | 23,831,1 4085 | 23,833,0 4086 | 23,844,1 4087 | 23,845,1 4088 | 23,846,1 4089 | 23,847,1 4090 | 23,851,0 4091 | 23,853,0 4092 | 23,858,1 4093 | 23,861,0 4094 | 23,875,1 4095 | 23,876,1 4096 | 23,877,1 4097 | 23,879,1 4098 | 23,880,1 4099 | 23,881,1 4100 | 23,882,1 4101 | 23,885,0 4102 | 23,888,1 4103 | 24,13,1 4104 | 24,22,1 4105 | 24,43,1 4106 | 24,49,1 4107 | 24,59,0 4108 | 24,66,0 4109 | 24,68,0 4110 | 24,69,1 4111 | 24,71,1 4112 | 24,74,1 4113 | 24,76,1 4114 | 24,78,1 4115 | 24,79,1 4116 | 24,91,1 4117 | 24,92,0 4118 | 24,93,0 4119 | 24,94,1 4120 | 24,95,1 4121 | 24,96,1 4122 | 24,97,0 4123 | 24,98,0 4124 | 24,99,0 4125 | 24,100,1 4126 | 24,115,0 4127 | 24,116,0 4128 | 24,117,0 4129 | 24,118,0 4130 | 24,119,0 4131 | 24,121,0 4132 | 24,122,0 4133 | 24,123,0 4134 | 24,124,1 4135 | 24,125,1 4136 | 24,126,0 4137 | 24,127,0 4138 | 24,133,0 4139 | 24,135,0 4140 | 24,136,0 4141 | 24,137,0 4142 | 24,138,0 4143 | 24,139,0 4144 | 24,140,0 4145 | 24,141,1 4146 | 24,142,1 4147 | 24,160,0 4148 | 24,162,1 4149 | 24,174,0 4150 | 24,176,1 4151 | 24,177,0 4152 | 24,178,0 4153 | 24,179,1 4154 | 24,180,1 4155 | 24,206,0 4156 | 24,214,0 4157 | 24,221,1 4158 | 24,222,0 4159 | 24,229,1 4160 | 24,231,1 4161 | 24,240,0 4162 | 24,252,1 4163 | 24,262,1 4164 | 24,269,1 4165 | 24,275,1 4166 | 24,290,1 4167 | 24,307,1 4168 | 24,310,0 4169 | 24,317,1 4170 | 24,328,1 4171 | 24,341,1 4172 | 24,366,0 4173 | 24,367,0 4174 | 24,368,0 4175 | 24,389,1 4176 | 24,396,1 4177 | 24,414,1 4178 | 24,433,1 4179 | 24,442,1 4180 | 24,449,1 4181 | 24,457,0 4182 | 24,462,1 4183 | 24,463,1 4184 | 24,464,1 4185 | 24,465,1 4186 | 24,472,1 4187 | 24,473,1 4188 | 24,476,0 4189 | 24,478,1 4190 | 24,487,1 4191 | 24,488,1 4192 | 24,490,1 4193 | 24,491,1 4194 | 24,493,1 4195 | 24,495,0 4196 | 24,496,0 4197 | 24,497,0 4198 | 24,498,0 4199 | 24,499,0 4200 | 24,502,0 4201 | 24,509,1 4202 | 24,516,1 4203 | 24,520,1 4204 | 24,522,0 4205 | 24,523,0 4206 | 24,525,0 4207 | 24,536,1 4208 | 24,537,0 4209 | 24,538,1 4210 | 24,542,1 4211 | 24,547,0 4212 | 24,549,0 4213 | 24,550,0 4214 | 24,551,1 4215 | 24,552,0 4216 | 24,553,0 4217 | 24,555,1 4218 | 24,556,1 4219 | 24,558,1 4220 | 24,561,0 4221 | 24,562,1 4222 | 24,563,0 4223 | 24,564,0 4224 | 24,565,1 4225 | 24,575,1 4226 | 24,578,1 4227 | 24,596,0 4228 | 24,597,1 4229 | 24,598,0 4230 | 24,601,1 4231 | 24,626,0 4232 | 24,643,1 4233 | 24,644,1 4234 | 24,645,1 4235 | 24,646,0 4236 | 24,649,0 4237 | 24,650,1 4238 | 24,651,1 4239 | 24,668,1 4240 | 24,671,1 4241 | 24,673,1 4242 | 24,675,1 4243 | 24,676,0 4244 | 24,677,0 4245 | 24,678,0 4246 | 24,679,1 4247 | 24,683,0 4248 | 24,687,1 4249 | 24,688,0 4250 | 24,689,0 4251 | 24,690,1 4252 | 24,691,0 4253 | 24,692,0 4254 | 24,693,0 4255 | 24,694,1 4256 | 24,695,0 4257 | 24,696,1 4258 | 24,710,1 4259 | 24,714,1 4260 | 24,718,1 4261 | 24,725,1 4262 | 24,730,1 4263 | 24,733,1 4264 | 24,734,0 4265 | 24,737,0 4266 | 24,744,0 4267 | 24,750,0 4268 | 24,751,0 4269 | 24,752,0 4270 | 24,753,0 4271 | 24,754,0 4272 | 24,755,0 4273 | 24,756,0 4274 | 24,758,1 4275 | 24,763,1 4276 | 24,764,1 4277 | 24,765,0 4278 | 24,766,0 4279 | 24,774,0 4280 | 24,775,0 4281 | 24,776,0 4282 | 24,777,1 4283 | 24,788,0 4284 | 24,789,0 4285 | 24,790,1 4286 | 24,791,1 4287 | 24,792,0 4288 | 24,793,0 4289 | 24,794,0 4290 | 24,795,0 4291 | 24,796,0 4292 | 24,797,0 4293 | 24,805,0 4294 | 24,806,0 4295 | 24,825,1 4296 | 24,826,1 4297 | 24,830,0 4298 | 24,831,0 4299 | 24,833,0 4300 | 24,834,1 4301 | 24,835,0 4302 | 24,836,1 4303 | 24,837,0 4304 | 24,838,0 4305 | 24,839,0 4306 | 24,840,0 4307 | 24,841,0 4308 | 24,842,0 4309 | 24,847,0 4310 | 24,851,0 4311 | 24,852,1 4312 | 24,859,0 4313 | 24,860,0 4314 | 24,877,1 4315 | 24,882,0 4316 | 24,884,1 4317 | 24,885,0 4318 | 24,886,0 4319 | 24,887,1 4320 | 24,888,0 4321 | 24,889,0 4322 | 25,2,1 4323 | 25,21,0 4324 | 25,44,1 4325 | 25,59,0 4326 | 25,62,1 4327 | 25,66,0 4328 | 25,67,1 4329 | 25,69,0 4330 | 25,71,1 4331 | 25,73,0 4332 | 25,74,1 4333 | 25,76,0 4334 | 25,80,1 4335 | 25,81,0 4336 | 25,93,1 4337 | 25,94,1 4338 | 25,95,1 4339 | 25,96,1 4340 | 25,97,1 4341 | 25,99,1 4342 | 25,100,1 4343 | 25,108,1 4344 | 25,113,1 4345 | 25,116,1 4346 | 25,133,0 4347 | 25,134,0 4348 | 25,135,1 4349 | 25,139,0 4350 | 25,140,0 4351 | 25,159,0 4352 | 25,160,1 4353 | 25,161,0 4354 | 25,162,1 4355 | 25,163,0 4356 | 25,164,0 4357 | 25,166,1 4358 | 25,167,0 4359 | 25,172,1 4360 | 25,173,1 4361 | 25,177,1 4362 | 25,178,1 4363 | 25,180,1 4364 | 25,197,1 4365 | 25,200,0 4366 | 25,202,1 4367 | 25,216,1 4368 | 25,218,1 4369 | 25,219,0 4370 | 25,220,0 4371 | 25,221,1 4372 | 25,223,0 4373 | 25,225,0 4374 | 25,227,1 4375 | 25,246,0 4376 | 25,247,1 4377 | 25,256,1 4378 | 25,262,0 4379 | 25,263,1 4380 | 25,264,0 4381 | 25,265,0 4382 | 25,280,1 4383 | 25,298,1 4384 | 25,306,1 4385 | 25,308,1 4386 | 25,326,1 4387 | 25,347,1 4388 | 25,364,1 4389 | 25,365,0 4390 | 25,366,1 4391 | 25,367,1 4392 | 25,390,1 4393 | 25,433,0 4394 | 25,440,0 4395 | 25,453,1 4396 | 25,459,1 4397 | 25,465,1 4398 | 25,472,1 4399 | 25,478,1 4400 | 25,483,1 4401 | 25,485,1 4402 | 25,486,1 4403 | 25,487,1 4404 | 25,490,1 4405 | 25,516,1 4406 | 25,517,1 4407 | 25,521,1 4408 | 25,536,0 4409 | 25,537,1 4410 | 25,545,1 4411 | 25,550,0 4412 | 25,559,0 4413 | 25,561,1 4414 | 25,563,1 4415 | 25,565,1 4416 | 25,574,1 4417 | 25,577,0 4418 | 25,578,0 4419 | 25,579,0 4420 | 25,580,1 4421 | 25,581,0 4422 | 25,610,0 4423 | 25,611,1 4424 | 25,612,1 4425 | 25,613,1 4426 | 25,644,1 4427 | 25,649,1 4428 | 25,650,1 4429 | 25,651,0 4430 | 25,652,1 4431 | 25,661,1 4432 | 25,669,0 4433 | 25,678,0 4434 | 25,679,0 4435 | 25,681,1 4436 | 25,683,1 4437 | 25,685,1 4438 | 25,686,0 4439 | 25,691,1 4440 | 25,692,0 4441 | 25,693,0 4442 | 25,694,1 4443 | 25,695,1 4444 | 25,697,1 4445 | 25,706,0 4446 | 25,712,1 4447 | 25,725,0 4448 | 25,726,0 4449 | 25,727,1 4450 | 25,745,0 4451 | 25,746,1 4452 | 25,750,0 4453 | 25,751,1 4454 | 25,759,1 4455 | 25,760,0 4456 | 25,761,1 4457 | 25,762,1 4458 | 25,764,1 4459 | 25,765,0 4460 | 25,774,0 4461 | 25,775,1 4462 | 25,776,1 4463 | 25,777,1 4464 | 25,779,0 4465 | 25,789,0 4466 | 25,790,0 4467 | 25,791,0 4468 | 25,792,1 4469 | 25,794,1 4470 | 25,796,1 4471 | 25,812,0 4472 | 25,813,1 4473 | 25,825,1 4474 | 25,826,1 4475 | 25,831,0 4476 | 25,833,1 4477 | 25,834,0 4478 | 25,835,0 4479 | 25,852,0 4480 | 25,854,0 4481 | 25,861,1 4482 | 25,862,1 4483 | 25,863,1 4484 | 25,880,1 4485 | 25,884,0 4486 | 25,886,0 4487 | 25,888,0 4488 | 25,890,0 4489 | 26,4,0 4490 | 26,26,1 4491 | 26,32,1 4492 | 26,34,1 4493 | 26,45,1 4494 | 26,48,1 4495 | 26,49,0 4496 | 26,59,0 4497 | 26,60,1 4498 | 26,61,0 4499 | 26,62,0 4500 | 26,64,0 4501 | 26,65,1 4502 | 26,67,0 4503 | 26,68,0 4504 | 26,69,1 4505 | 26,70,1 4506 | 26,72,0 4507 | 26,73,1 4508 | 26,74,1 4509 | 26,77,0 4510 | 26,79,1 4511 | 26,82,0 4512 | 26,84,1 4513 | 26,85,1 4514 | 26,87,1 4515 | 26,91,0 4516 | 26,92,1 4517 | 26,93,1 4518 | 26,94,1 4519 | 26,95,1 4520 | 26,96,1 4521 | 26,97,0 4522 | 26,99,0 4523 | 26,101,1 4524 | 26,104,1 4525 | 26,112,1 4526 | 26,116,0 4527 | 26,118,1 4528 | 26,122,0 4529 | 26,125,1 4530 | 26,126,1 4531 | 26,127,0 4532 | 26,131,1 4533 | 26,138,0 4534 | 26,139,0 4535 | 26,140,0 4536 | 26,161,0 4537 | 26,162,0 4538 | 26,163,1 4539 | 26,164,0 4540 | 26,165,1 4541 | 26,166,0 4542 | 26,167,1 4543 | 26,169,0 4544 | 26,210,1 4545 | 26,215,1 4546 | 26,219,1 4547 | 26,220,1 4548 | 26,222,0 4549 | 26,225,1 4550 | 26,227,0 4551 | 26,228,1 4552 | 26,230,1 4553 | 26,231,0 4554 | 26,234,0 4555 | 26,280,1 4556 | 26,284,0 4557 | 26,313,0 4558 | 26,333,1 4559 | 26,356,1 4560 | 26,368,0 4561 | 26,373,1 4562 | 26,389,1 4563 | 26,391,1 4564 | 26,411,1 4565 | 26,414,1 4566 | 26,442,0 4567 | 26,445,1 4568 | 26,449,0 4569 | 26,458,1 4570 | 26,463,0 4571 | 26,464,0 4572 | 26,474,1 4573 | 26,487,1 4574 | 26,488,1 4575 | 26,495,0 4576 | 26,496,0 4577 | 26,497,1 4578 | 26,498,1 4579 | 26,502,1 4580 | 26,513,1 4581 | 26,516,0 4582 | 26,517,1 4583 | 26,523,0 4584 | 26,536,1 4585 | 26,538,1 4586 | 26,543,0 4587 | 26,549,1 4588 | 26,550,1 4589 | 26,556,1 4590 | 26,561,0 4591 | 26,562,1 4592 | 26,563,0 4593 | 26,564,1 4594 | 26,565,0 4595 | 26,574,0 4596 | 26,576,1 4597 | 26,577,1 4598 | 26,579,0 4599 | 26,581,0 4600 | 26,582,0 4601 | 26,583,1 4602 | 26,601,0 4603 | 26,610,1 4604 | 26,612,0 4605 | 26,613,1 4606 | 26,643,1 4607 | 26,645,1 4608 | 26,646,1 4609 | 26,649,0 4610 | 26,650,1 4611 | 26,651,1 4612 | 26,652,1 4613 | 26,669,1 4614 | 26,670,1 4615 | 26,673,0 4616 | 26,674,0 4617 | 26,675,0 4618 | 26,676,1 4619 | 26,677,0 4620 | 26,678,0 4621 | 26,679,0 4622 | 26,690,0 4623 | 26,691,1 4624 | 26,692,0 4625 | 26,693,1 4626 | 26,694,0 4627 | 26,695,1 4628 | 26,705,1 4629 | 26,706,1 4630 | 26,707,0 4631 | 26,731,1 4632 | 26,733,0 4633 | 26,736,1 4634 | 26,737,0 4635 | 26,738,1 4636 | 26,744,0 4637 | 26,748,0 4638 | 26,750,1 4639 | 26,751,1 4640 | 26,760,1 4641 | 26,761,0 4642 | 26,763,0 4643 | 26,765,0 4644 | 26,766,1 4645 | 26,774,1 4646 | 26,775,1 4647 | 26,778,1 4648 | 26,779,0 4649 | 26,780,0 4650 | 26,782,1 4651 | 26,789,0 4652 | 26,791,1 4653 | 26,792,0 4654 | 26,793,0 4655 | 26,794,0 4656 | 26,795,0 4657 | 26,797,1 4658 | 26,802,0 4659 | 26,805,0 4660 | 26,813,0 4661 | 26,825,1 4662 | 26,827,0 4663 | 26,828,0 4664 | 26,831,0 4665 | 26,833,1 4666 | 26,834,0 4667 | 26,835,0 4668 | 26,836,1 4669 | 26,837,0 4670 | 26,838,0 4671 | 26,839,1 4672 | 26,840,0 4673 | 26,841,0 4674 | 26,842,0 4675 | 26,844,1 4676 | 26,845,0 4677 | 26,846,0 4678 | 26,847,1 4679 | 26,848,0 4680 | 26,849,0 4681 | 26,851,0 4682 | 26,852,0 4683 | 26,859,0 4684 | 26,860,0 4685 | 26,862,0 4686 | 26,877,0 4687 | 26,878,1 4688 | 26,881,0 4689 | 26,882,1 4690 | 26,884,0 4691 | 26,885,0 4692 | 26,886,1 4693 | 26,887,1 4694 | 26,888,0 4695 | 26,889,0 4696 | 27,1,1 4697 | 27,12,1 4698 | 27,18,1 4699 | 27,24,1 4700 | 27,37,0 4701 | 27,44,1 4702 | 27,46,0 4703 | 27,59,1 4704 | 27,60,0 4705 | 27,68,1 4706 | 27,69,1 4707 | 27,72,1 4708 | 27,77,1 4709 | 27,80,1 4710 | 27,91,1 4711 | 27,92,1 4712 | 27,93,1 4713 | 27,97,1 4714 | 27,99,1 4715 | 27,100,1 4716 | 27,101,1 4717 | 27,104,1 4718 | 27,108,1 4719 | 27,111,0 4720 | 27,120,1 4721 | 27,134,1 4722 | 27,135,1 4723 | 27,142,1 4724 | 27,159,1 4725 | 27,160,1 4726 | 27,162,0 4727 | 27,163,1 4728 | 27,164,0 4729 | 27,168,0 4730 | 27,173,1 4731 | 27,176,1 4732 | 27,178,0 4733 | 27,182,1 4734 | 27,183,1 4735 | 27,201,1 4736 | 27,216,1 4737 | 27,220,0 4738 | 27,221,0 4739 | 27,222,0 4740 | 27,224,1 4741 | 27,229,1 4742 | 27,233,1 4743 | 27,240,1 4744 | 27,246,1 4745 | 27,250,1 4746 | 27,286,1 4747 | 27,305,1 4748 | 27,306,0 4749 | 27,363,1 4750 | 27,367,0 4751 | 27,397,0 4752 | 27,402,1 4753 | 27,407,1 4754 | 27,426,1 4755 | 27,432,0 4756 | 27,450,1 4757 | 27,469,1 4758 | 27,488,0 4759 | 27,501,1 4760 | 27,511,0 4761 | 27,512,1 4762 | 27,517,1 4763 | 27,526,1 4764 | 27,536,1 4765 | 27,538,0 4766 | 27,562,1 4767 | 27,563,0 4768 | 27,564,0 4769 | 27,566,1 4770 | 27,574,1 4771 | 27,575,0 4772 | 27,576,0 4773 | 27,578,0 4774 | 27,579,0 4775 | 27,580,0 4776 | 27,581,1 4777 | 27,582,0 4778 | 27,586,1 4779 | 27,613,0 4780 | 27,622,1 4781 | 27,635,1 4782 | 27,643,1 4783 | 27,644,1 4784 | 27,645,1 4785 | 27,646,1 4786 | 27,652,0 4787 | 27,653,1 4788 | 27,658,0 4789 | 27,668,0 4790 | 27,678,0 4791 | 27,679,0 4792 | 27,683,1 4793 | 27,686,1 4794 | 27,688,0 4795 | 27,689,0 4796 | 27,698,0 4797 | 27,702,1 4798 | 27,705,1 4799 | 27,706,0 4800 | 27,733,1 4801 | 27,736,1 4802 | 27,744,0 4803 | 27,745,0 4804 | 27,746,0 4805 | 27,747,0 4806 | 27,748,0 4807 | 27,750,1 4808 | 27,759,1 4809 | 27,761,0 4810 | 27,764,1 4811 | 27,770,1 4812 | 27,775,1 4813 | 27,776,1 4814 | 27,777,1 4815 | 27,779,1 4816 | 27,780,0 4817 | 27,785,1 4818 | 27,788,1 4819 | 27,790,1 4820 | 27,795,0 4821 | 27,802,0 4822 | 27,804,0 4823 | 27,805,1 4824 | 27,806,1 4825 | 27,811,1 4826 | 27,813,1 4827 | 27,816,0 4828 | 27,823,1 4829 | 27,829,0 4830 | 27,836,1 4831 | 27,849,1 4832 | 27,851,0 4833 | 27,860,1 4834 | 27,862,1 4835 | 27,866,1 4836 | 27,869,1 4837 | 27,871,1 4838 | 27,875,0 4839 | 27,877,1 4840 | 27,884,1 4841 | 27,885,0 4842 | 27,892,1 4843 | 27,893,0 4844 | 27,896,1 4845 | 27,897,1 4846 | 27,898,1 4847 | 27,901,1 4848 | 28,15,1 4849 | 28,16,1 4850 | 28,18,0 4851 | 28,19,1 4852 | 28,20,0 4853 | 28,23,1 4854 | 28,44,1 4855 | 28,46,1 4856 | 28,50,1 4857 | 28,51,0 4858 | 28,52,0 4859 | 28,58,1 4860 | 28,59,0 4861 | 28,61,1 4862 | 28,65,0 4863 | 28,66,0 4864 | 28,73,0 4865 | 28,74,0 4866 | 28,75,1 4867 | 28,94,0 4868 | 28,95,1 4869 | 28,96,1 4870 | 28,98,1 4871 | 28,99,1 4872 | 28,101,1 4873 | 28,107,1 4874 | 28,109,1 4875 | 28,116,1 4876 | 28,118,0 4877 | 28,128,1 4878 | 28,133,1 4879 | 28,138,1 4880 | 28,139,1 4881 | 28,141,0 4882 | 28,159,0 4883 | 28,160,1 4884 | 28,161,0 4885 | 28,163,1 4886 | 28,164,1 4887 | 28,165,0 4888 | 28,166,1 4889 | 28,167,0 4890 | 28,180,1 4891 | 28,184,1 4892 | 28,204,0 4893 | 28,209,0 4894 | 28,214,1 4895 | 28,216,0 4896 | 28,217,0 4897 | 28,221,1 4898 | 28,222,1 4899 | 28,224,0 4900 | 28,225,0 4901 | 28,227,0 4902 | 28,228,0 4903 | 28,240,1 4904 | 28,256,1 4905 | 28,276,1 4906 | 28,278,1 4907 | 28,279,1 4908 | 28,280,1 4909 | 28,299,1 4910 | 28,323,0 4911 | 28,326,1 4912 | 28,328,1 4913 | 28,346,1 4914 | 28,350,1 4915 | 28,364,1 4916 | 28,403,1 4917 | 28,414,1 4918 | 28,445,1 4919 | 28,446,1 4920 | 28,450,1 4921 | 28,451,0 4922 | 28,453,1 4923 | 28,486,1 4924 | 28,487,1 4925 | 28,495,1 4926 | 28,499,0 4927 | 28,502,1 4928 | 28,508,1 4929 | 28,516,1 4930 | 28,532,0 4931 | 28,536,1 4932 | 28,538,1 4933 | 28,546,1 4934 | 28,550,0 4935 | 28,551,1 4936 | 28,554,1 4937 | 28,555,0 4938 | 28,561,0 4939 | 28,573,1 4940 | 28,574,1 4941 | 28,575,0 4942 | 28,576,1 4943 | 28,577,0 4944 | 28,580,0 4945 | 28,581,0 4946 | 28,582,1 4947 | 28,583,0 4948 | 28,586,1 4949 | 28,593,1 4950 | 28,610,1 4951 | 28,611,1 4952 | 28,612,1 4953 | 28,623,1 4954 | 28,632,0 4955 | 28,635,1 4956 | 28,637,1 4957 | 28,645,1 4958 | 28,646,0 4959 | 28,649,1 4960 | 28,653,1 4961 | 28,658,1 4962 | 28,668,1 4963 | 28,669,1 4964 | 28,675,1 4965 | 28,683,1 4966 | 28,684,0 4967 | 28,685,1 4968 | 28,688,1 4969 | 28,696,1 4970 | 28,705,0 4971 | 28,706,1 4972 | 28,707,1 4973 | 28,721,1 4974 | 28,725,0 4975 | 28,727,1 4976 | 28,728,1 4977 | 28,729,1 4978 | 28,733,1 4979 | 28,736,1 4980 | 28,740,1 4981 | 28,744,1 4982 | 28,745,1 4983 | 28,746,1 4984 | 28,747,1 4985 | 28,750,0 4986 | 28,751,0 4987 | 28,759,0 4988 | 28,761,1 4989 | 28,763,1 4990 | 28,775,1 4991 | 28,777,0 4992 | 28,791,0 4993 | 28,802,0 4994 | 28,813,1 4995 | 28,815,1 4996 | 28,820,1 4997 | 28,824,1 4998 | 28,825,0 4999 | 28,827,0 5000 | 28,834,0 5001 | 28,839,1 5002 | 28,841,0 5003 | 28,844,1 5004 | 28,849,0 5005 | 28,851,0 5006 | 28,852,0 5007 | 28,857,1 5008 | 28,859,1 5009 | 28,860,1 5010 | 28,861,0 5011 | 28,863,1 5012 | 28,865,1 5013 | 28,870,1 5014 | 28,871,1 5015 | 28,872,1 5016 | 28,873,1 5017 | 28,878,1 5018 | 28,879,0 5019 | 28,881,1 5020 | 28,882,1 5021 | 28,890,0 5022 | 28,892,0 5023 | 28,898,1 5024 | 29,2,0 5025 | 29,5,1 5026 | 29,12,1 5027 | 29,16,1 5028 | 29,22,1 5029 | 29,43,1 5030 | 29,45,0 5031 | 29,48,0 5032 | 29,53,1 5033 | 29,56,1 5034 | 29,58,1 5035 | 29,67,1 5036 | 29,71,1 5037 | 29,76,0 5038 | 29,82,1 5039 | 29,84,1 5040 | 29,85,1 5041 | 29,88,1 5042 | 29,91,0 5043 | 29,94,1 5044 | 29,95,1 5045 | 29,96,1 5046 | 29,100,1 5047 | 29,112,1 5048 | 29,114,1 5049 | 29,134,1 5050 | 29,136,1 5051 | 29,137,0 5052 | 29,138,0 5053 | 29,140,0 5054 | 29,156,1 5055 | 29,159,1 5056 | 29,163,1 5057 | 29,176,1 5058 | 29,181,1 5059 | 29,185,0 5060 | 29,187,0 5061 | 29,200,1 5062 | 29,201,1 5063 | 29,210,1 5064 | 29,212,0 5065 | 29,213,1 5066 | 29,230,1 5067 | 29,237,1 5068 | 29,239,1 5069 | 29,241,1 5070 | 29,253,1 5071 | 29,267,1 5072 | 29,268,1 5073 | 29,283,1 5074 | 29,296,1 5075 | 29,299,1 5076 | 29,303,1 5077 | 29,310,1 5078 | 29,311,1 5079 | 29,315,1 5080 | 29,324,1 5081 | 29,325,1 5082 | 29,329,1 5083 | 29,332,1 5084 | 29,335,0 5085 | 29,349,1 5086 | 29,350,1 5087 | 29,364,1 5088 | 29,384,1 5089 | 29,387,1 5090 | 29,394,1 5091 | 29,397,1 5092 | 29,408,1 5093 | 29,426,1 5094 | 29,428,1 5095 | 29,433,1 5096 | 29,444,1 5097 | 29,451,1 5098 | 29,469,1 5099 | 29,490,1 5100 | 29,506,1 5101 | 29,523,0 5102 | 29,528,1 5103 | 29,536,1 5104 | 29,539,1 5105 | 29,561,1 5106 | 29,562,0 5107 | 29,563,1 5108 | 29,573,1 5109 | 29,577,1 5110 | 29,578,1 5111 | 29,579,0 5112 | 29,591,1 5113 | 29,604,0 5114 | 29,621,0 5115 | 29,622,1 5116 | 29,641,1 5117 | 29,643,0 5118 | 29,650,1 5119 | 29,652,1 5120 | 29,655,1 5121 | 29,669,1 5122 | 29,671,0 5123 | 29,675,1 5124 | 29,676,0 5125 | 29,677,0 5126 | 29,678,0 5127 | 29,679,1 5128 | 29,688,1 5129 | 29,705,1 5130 | 29,708,1 5131 | 29,726,1 5132 | 29,733,0 5133 | 29,746,1 5134 | 29,748,1 5135 | 29,750,0 5136 | 29,760,1 5137 | 29,765,0 5138 | 29,768,1 5139 | 29,770,1 5140 | 29,774,1 5141 | 29,775,1 5142 | 29,776,1 5143 | 29,777,1 5144 | 29,788,1 5145 | 29,792,0 5146 | 29,793,0 5147 | 29,794,1 5148 | 29,795,0 5149 | 29,796,1 5150 | 29,797,0 5151 | 29,801,1 5152 | 29,830,1 5153 | 29,831,0 5154 | 29,832,1 5155 | 29,833,0 5156 | 29,834,0 5157 | 29,837,0 5158 | 29,838,1 5159 | 29,839,0 5160 | 29,840,0 5161 | 29,841,0 5162 | 29,842,1 5163 | 29,849,0 5164 | 29,852,0 5165 | 29,858,0 5166 | 29,859,0 5167 | 29,884,1 5168 | 29,885,0 5169 | 29,886,1 5170 | 29,887,0 5171 | 29,888,0 5172 | 29,889,0 5173 | 29,890,0 5174 | 30,7,1 5175 | 30,18,1 5176 | 30,22,1 5177 | 30,43,1 5178 | 30,44,1 5179 | 30,47,1 5180 | 30,52,1 5181 | 30,64,1 5182 | 30,69,1 5183 | 30,91,1 5184 | 30,94,1 5185 | 30,98,1 5186 | 30,100,1 5187 | 30,114,1 5188 | 30,118,1 5189 | 30,122,0 5190 | 30,123,1 5191 | 30,125,0 5192 | 30,127,1 5193 | 30,136,1 5194 | 30,138,0 5195 | 30,142,1 5196 | 30,155,1 5197 | 30,156,1 5198 | 30,159,1 5199 | 30,161,1 5200 | 30,162,0 5201 | 30,163,1 5202 | 30,164,1 5203 | 30,166,1 5204 | 30,169,1 5205 | 30,170,1 5206 | 30,176,1 5207 | 30,177,1 5208 | 30,179,1 5209 | 30,186,0 5210 | 30,207,0 5211 | 30,213,1 5212 | 30,214,1 5213 | 30,216,1 5214 | 30,222,0 5215 | 30,225,0 5216 | 30,228,1 5217 | 30,229,0 5218 | 30,230,1 5219 | 30,250,0 5220 | 30,254,1 5221 | 30,258,1 5222 | 30,280,1 5223 | 30,296,1 5224 | 30,297,1 5225 | 30,298,1 5226 | 30,326,1 5227 | 30,334,1 5228 | 30,357,1 5229 | 30,362,1 5230 | 30,366,1 5231 | 30,367,1 5232 | 30,378,1 5233 | 30,393,0 5234 | 30,411,1 5235 | 30,415,1 5236 | 30,436,1 5237 | 30,439,1 5238 | 30,453,0 5239 | 30,457,1 5240 | 30,472,1 5241 | 30,473,1 5242 | 30,486,0 5243 | 30,489,1 5244 | 30,491,1 5245 | 30,492,1 5246 | 30,495,0 5247 | 30,496,0 5248 | 30,497,1 5249 | 30,498,1 5250 | 30,514,0 5251 | 30,518,1 5252 | 30,519,0 5253 | 30,522,1 5254 | 30,524,1 5255 | 30,538,0 5256 | 30,549,1 5257 | 30,551,0 5258 | 30,552,0 5259 | 30,554,1 5260 | 30,555,1 5261 | 30,560,1 5262 | 30,563,1 5263 | 30,565,0 5264 | 30,574,1 5265 | 30,576,1 5266 | 30,577,0 5267 | 30,578,0 5268 | 30,579,0 5269 | 30,580,1 5270 | 30,583,1 5271 | 30,606,1 5272 | 30,610,0 5273 | 30,612,0 5274 | 30,625,1 5275 | 30,634,1 5276 | 30,643,1 5277 | 30,648,1 5278 | 30,652,1 5279 | 30,658,1 5280 | 30,675,1 5281 | 30,677,0 5282 | 30,678,0 5283 | 30,687,1 5284 | 30,688,0 5285 | 30,691,0 5286 | 30,705,1 5287 | 30,706,1 5288 | 30,707,0 5289 | 30,708,1 5290 | 30,736,1 5291 | 30,737,1 5292 | 30,738,1 5293 | 30,744,1 5294 | 30,745,1 5295 | 30,746,0 5296 | 30,747,1 5297 | 30,750,0 5298 | 30,751,1 5299 | 30,759,1 5300 | 30,760,0 5301 | 30,761,1 5302 | 30,782,0 5303 | 30,788,1 5304 | 30,795,1 5305 | 30,796,1 5306 | 30,802,1 5307 | 30,804,1 5308 | 30,805,1 5309 | 30,809,0 5310 | 30,813,1 5311 | 30,816,1 5312 | 30,826,1 5313 | 30,827,0 5314 | 30,830,1 5315 | 30,835,0 5316 | 30,838,1 5317 | 30,845,1 5318 | 30,849,1 5319 | 30,859,1 5320 | 30,860,0 5321 | 30,877,0 5322 | 30,882,1 5323 | 30,885,0 5324 | 30,887,1 5325 | 30,890,0 5326 | 31,21,1 5327 | 31,22,1 5328 | 31,45,1 5329 | 31,50,0 5330 | 31,53,0 5331 | 31,55,1 5332 | 31,57,1 5333 | 31,58,0 5334 | 31,60,0 5335 | 31,62,0 5336 | 31,63,0 5337 | 31,65,0 5338 | 31,69,0 5339 | 31,70,1 5340 | 31,71,0 5341 | 31,72,1 5342 | 31,76,0 5343 | 31,93,1 5344 | 31,94,1 5345 | 31,96,1 5346 | 31,99,1 5347 | 31,116,1 5348 | 31,121,1 5349 | 31,122,0 5350 | 31,125,1 5351 | 31,127,1 5352 | 31,130,1 5353 | 31,133,0 5354 | 31,134,1 5355 | 31,135,0 5356 | 31,136,1 5357 | 31,137,0 5358 | 31,138,1 5359 | 31,158,1 5360 | 31,159,1 5361 | 31,164,1 5362 | 31,165,0 5363 | 31,167,1 5364 | 31,168,1 5365 | 31,175,1 5366 | 31,178,1 5367 | 31,208,0 5368 | 31,209,0 5369 | 31,215,0 5370 | 31,217,1 5371 | 31,220,0 5372 | 31,221,1 5373 | 31,225,1 5374 | 31,227,1 5375 | 31,228,0 5376 | 31,260,1 5377 | 31,277,1 5378 | 31,280,1 5379 | 31,286,1 5380 | 31,299,1 5381 | 31,324,1 5382 | 31,364,1 5383 | 31,389,1 5384 | 31,393,1 5385 | 31,430,1 5386 | 31,448,0 5387 | 31,450,1 5388 | 31,451,0 5389 | 31,472,1 5390 | 31,488,1 5391 | 31,499,0 5392 | 31,501,1 5393 | 31,511,1 5394 | 31,515,1 5395 | 31,516,1 5396 | 31,517,0 5397 | 31,522,1 5398 | 31,531,1 5399 | 31,535,1 5400 | 31,551,0 5401 | 31,552,0 5402 | 31,553,0 5403 | 31,554,0 5404 | 31,556,0 5405 | 31,561,1 5406 | 31,562,0 5407 | 31,563,1 5408 | 31,574,1 5409 | 31,576,1 5410 | 31,577,0 5411 | 31,580,0 5412 | 31,581,0 5413 | 31,582,0 5414 | 31,597,1 5415 | 31,605,0 5416 | 31,612,1 5417 | 31,616,1 5418 | 31,622,1 5419 | 31,626,1 5420 | 31,645,1 5421 | 31,650,1 5422 | 31,651,1 5423 | 31,652,0 5424 | 31,658,1 5425 | 31,668,0 5426 | 31,676,1 5427 | 31,677,0 5428 | 31,683,0 5429 | 31,686,1 5430 | 31,688,1 5431 | 31,689,1 5432 | 31,691,1 5433 | 31,706,1 5434 | 31,707,0 5435 | 31,708,1 5436 | 31,723,0 5437 | 31,725,0 5438 | 31,726,1 5439 | 31,727,1 5440 | 31,733,1 5441 | 31,744,0 5442 | 31,746,0 5443 | 31,747,1 5444 | 31,748,0 5445 | 31,750,0 5446 | 31,752,0 5447 | 31,753,0 5448 | 31,754,1 5449 | 31,755,1 5450 | 31,756,1 5451 | 31,759,0 5452 | 31,761,1 5453 | 31,765,0 5454 | 31,766,1 5455 | 31,774,0 5456 | 31,778,1 5457 | 31,780,1 5458 | 31,782,0 5459 | 31,789,0 5460 | 31,790,0 5461 | 31,791,1 5462 | 31,794,1 5463 | 31,795,0 5464 | 31,796,0 5465 | 31,799,0 5466 | 31,801,1 5467 | 31,805,1 5468 | 31,809,1 5469 | 31,810,0 5470 | 31,815,0 5471 | 31,818,1 5472 | 31,825,1 5473 | 31,830,1 5474 | 31,831,0 5475 | 31,832,0 5476 | 31,833,1 5477 | 31,834,0 5478 | 31,837,1 5479 | 31,841,0 5480 | 31,844,0 5481 | 31,845,0 5482 | 31,846,1 5483 | 31,849,0 5484 | 31,851,0 5485 | 31,853,0 5486 | 31,855,1 5487 | 31,859,1 5488 | 31,861,1 5489 | 31,863,1 5490 | 31,875,1 5491 | 31,877,0 5492 | 31,882,1 5493 | 31,884,1 5494 | 31,886,1 5495 | 31,888,1 5496 | 31,889,0 5497 | 32,16,1 5498 | 32,23,0 5499 | 32,32,1 5500 | 32,46,1 5501 | 32,48,1 5502 | 32,50,0 5503 | 32,51,1 5504 | 32,55,1 5505 | 32,61,1 5506 | 32,63,1 5507 | 32,64,1 5508 | 32,93,1 5509 | 32,94,0 5510 | 32,99,1 5511 | 32,115,1 5512 | 32,118,1 5513 | 32,124,0 5514 | 32,125,0 5515 | 32,139,1 5516 | 32,140,0 5517 | 32,143,1 5518 | 32,150,1 5519 | 32,156,1 5520 | 32,157,1 5521 | 32,159,1 5522 | 32,162,1 5523 | 32,163,1 5524 | 32,164,0 5525 | 32,166,1 5526 | 32,168,1 5527 | 32,169,1 5528 | 32,170,1 5529 | 32,171,1 5530 | 32,174,1 5531 | 32,175,0 5532 | 32,178,1 5533 | 32,179,1 5534 | 32,180,1 5535 | 32,196,1 5536 | 32,203,1 5537 | 32,205,0 5538 | 32,206,0 5539 | 32,209,0 5540 | 32,210,1 5541 | 32,218,1 5542 | 32,220,1 5543 | 32,222,1 5544 | 32,224,1 5545 | 32,227,1 5546 | 32,232,1 5547 | 32,250,1 5548 | 32,270,1 5549 | 32,282,0 5550 | 32,295,1 5551 | 32,309,0 5552 | 32,311,1 5553 | 32,312,0 5554 | 32,323,1 5555 | 32,325,1 5556 | 32,343,1 5557 | 32,352,1 5558 | 32,366,1 5559 | 32,368,0 5560 | 32,382,1 5561 | 32,406,1 5562 | 32,409,1 5563 | 32,410,0 5564 | 32,414,0 5565 | 32,415,1 5566 | 32,432,1 5567 | 32,442,0 5568 | 32,444,1 5569 | 32,458,1 5570 | 32,463,1 5571 | 32,465,0 5572 | 32,475,1 5573 | 32,476,1 5574 | 32,488,1 5575 | 32,490,0 5576 | 32,491,1 5577 | 32,492,1 5578 | 32,493,0 5579 | 32,495,0 5580 | 32,496,0 5581 | 32,497,1 5582 | 32,498,1 5583 | 32,499,1 5584 | 32,502,0 5585 | 32,512,1 5586 | 32,514,0 5587 | 32,518,1 5588 | 32,522,1 5589 | 32,538,1 5590 | 32,542,1 5591 | 32,543,0 5592 | 32,544,1 5593 | 32,550,1 5594 | 32,551,0 5595 | 32,552,1 5596 | 32,553,0 5597 | 32,555,1 5598 | 32,556,1 5599 | 32,561,1 5600 | 32,562,1 5601 | 32,563,1 5602 | 32,564,1 5603 | 32,574,0 5604 | 32,576,1 5605 | 32,578,1 5606 | 32,579,0 5607 | 32,580,1 5608 | 32,581,1 5609 | 32,595,1 5610 | 32,596,1 5611 | 32,597,1 5612 | 32,605,1 5613 | 32,611,1 5614 | 32,616,1 5615 | 32,618,1 5616 | 32,625,1 5617 | 32,626,0 5618 | 32,633,1 5619 | 32,634,1 5620 | 32,643,1 5621 | 32,644,1 5622 | 32,668,1 5623 | 32,674,0 5624 | 32,686,1 5625 | 32,687,1 5626 | 32,690,1 5627 | 32,691,1 5628 | 32,692,0 5629 | 32,693,0 5630 | 32,694,1 5631 | 32,695,1 5632 | 32,705,1 5633 | 32,706,1 5634 | 32,708,1 5635 | 32,723,1 5636 | 32,733,0 5637 | 32,740,0 5638 | 32,745,1 5639 | 32,747,1 5640 | 32,752,0 5641 | 32,753,1 5642 | 32,754,1 5643 | 32,755,1 5644 | 32,756,1 5645 | 32,758,1 5646 | 32,760,0 5647 | 32,774,0 5648 | 32,777,1 5649 | 32,780,0 5650 | 32,789,1 5651 | 32,791,1 5652 | 32,792,0 5653 | 32,794,0 5654 | 32,796,1 5655 | 32,800,1 5656 | 32,807,1 5657 | 32,815,1 5658 | 32,816,1 5659 | 32,818,1 5660 | 32,824,0 5661 | 32,825,1 5662 | 32,831,1 5663 | 32,833,1 5664 | 32,834,1 5665 | 32,835,0 5666 | 32,836,1 5667 | 32,838,0 5668 | 32,839,1 5669 | 32,852,0 5670 | 32,859,0 5671 | 32,860,0 5672 | 32,880,1 5673 | 32,890,1 5674 | 33,15,1 5675 | 33,16,1 5676 | 33,17,1 5677 | 33,20,1 5678 | 33,22,1 5679 | 33,28,0 5680 | 33,29,1 5681 | 33,44,0 5682 | 33,51,0 5683 | 33,57,1 5684 | 33,60,0 5685 | 33,62,1 5686 | 33,64,0 5687 | 33,66,0 5688 | 33,70,0 5689 | 33,71,0 5690 | 33,72,1 5691 | 33,76,1 5692 | 33,80,0 5693 | 33,81,1 5694 | 33,94,1 5695 | 33,97,1 5696 | 33,98,1 5697 | 33,100,1 5698 | 33,120,1 5699 | 33,130,1 5700 | 33,138,1 5701 | 33,141,1 5702 | 33,142,0 5703 | 33,150,1 5704 | 33,156,1 5705 | 33,159,1 5706 | 33,160,1 5707 | 33,161,0 5708 | 33,162,1 5709 | 33,163,1 5710 | 33,171,0 5711 | 33,178,0 5712 | 33,179,0 5713 | 33,197,1 5714 | 33,202,1 5715 | 33,207,1 5716 | 33,208,1 5717 | 33,209,0 5718 | 33,220,1 5719 | 33,221,0 5720 | 33,222,1 5721 | 33,224,1 5722 | 33,230,1 5723 | 33,232,0 5724 | 33,246,1 5725 | 33,257,1 5726 | 33,258,1 5727 | 33,265,1 5728 | 33,286,1 5729 | 33,297,1 5730 | 33,313,1 5731 | 33,325,1 5732 | 33,352,1 5733 | 33,363,1 5734 | 33,364,1 5735 | 33,391,1 5736 | 33,401,1 5737 | 33,404,1 5738 | 33,412,1 5739 | 33,415,0 5740 | 33,426,1 5741 | 33,440,1 5742 | 33,452,1 5743 | 33,466,1 5744 | 33,501,1 5745 | 33,502,1 5746 | 33,511,0 5747 | 33,514,0 5748 | 33,516,0 5749 | 33,517,1 5750 | 33,532,1 5751 | 33,537,1 5752 | 33,538,1 5753 | 33,565,0 5754 | 33,566,1 5755 | 33,574,0 5756 | 33,575,1 5757 | 33,577,1 5758 | 33,578,1 5759 | 33,579,0 5760 | 33,580,1 5761 | 33,581,1 5762 | 33,589,1 5763 | 33,600,0 5764 | 33,610,0 5765 | 33,611,0 5766 | 33,612,1 5767 | 33,613,1 5768 | 33,622,1 5769 | 33,649,0 5770 | 33,650,0 5771 | 33,651,1 5772 | 33,653,1 5773 | 33,668,0 5774 | 33,669,1 5775 | 33,676,1 5776 | 33,677,1 5777 | 33,678,0 5778 | 33,684,1 5779 | 33,696,1 5780 | 33,705,0 5781 | 33,706,0 5782 | 33,707,1 5783 | 33,708,1 5784 | 33,712,1 5785 | 33,713,1 5786 | 33,724,1 5787 | 33,727,1 5788 | 33,729,1 5789 | 33,733,0 5790 | 33,736,1 5791 | 33,744,0 5792 | 33,745,1 5793 | 33,746,1 5794 | 33,747,1 5795 | 33,748,0 5796 | 33,750,1 5797 | 33,759,1 5798 | 33,761,0 5799 | 33,767,0 5800 | 33,775,0 5801 | 33,780,0 5802 | 33,788,1 5803 | 33,790,1 5804 | 33,797,1 5805 | 33,804,0 5806 | 33,806,1 5807 | 33,813,1 5808 | 33,822,1 5809 | 33,830,0 5810 | 33,832,0 5811 | 33,833,1 5812 | 33,834,1 5813 | 33,835,0 5814 | 33,836,1 5815 | 33,837,1 5816 | 33,838,0 5817 | 33,839,1 5818 | 33,842,0 5819 | 33,852,0 5820 | 33,858,0 5821 | 33,859,1 5822 | 33,861,0 5823 | 33,863,0 5824 | 33,866,1 5825 | 33,868,1 5826 | 33,871,1 5827 | 33,874,1 5828 | 33,875,1 5829 | 33,876,0 5830 | 33,877,0 5831 | 33,878,1 5832 | 33,879,1 5833 | 33,881,0 5834 | 33,885,0 5835 | 33,887,1 5836 | 33,894,1 5837 | 33,897,1 5838 | 33,898,1 5839 | 33,901,1 5840 | 33,902,1 5841 | 34,32,1 5842 | 34,44,1 5843 | 34,46,1 5844 | 34,49,1 5845 | 34,51,1 5846 | 34,54,1 5847 | 34,59,1 5848 | 34,61,0 5849 | 34,67,1 5850 | 34,80,1 5851 | 34,92,1 5852 | 34,93,1 5853 | 34,94,1 5854 | 34,95,1 5855 | 34,100,1 5856 | 34,103,0 5857 | 34,114,0 5858 | 34,115,1 5859 | 34,121,0 5860 | 34,122,0 5861 | 34,124,1 5862 | 34,126,1 5863 | 34,148,0 5864 | 34,152,1 5865 | 34,159,1 5866 | 34,161,0 5867 | 34,162,0 5868 | 34,163,0 5869 | 34,164,1 5870 | 34,165,0 5871 | 34,170,1 5872 | 34,171,1 5873 | 34,174,1 5874 | 34,191,0 5875 | 34,204,1 5876 | 34,209,0 5877 | 34,213,1 5878 | 34,214,1 5879 | 34,217,0 5880 | 34,219,1 5881 | 34,220,1 5882 | 34,221,1 5883 | 34,229,1 5884 | 34,244,1 5885 | 34,258,1 5886 | 34,265,1 5887 | 34,295,1 5888 | 34,297,1 5889 | 34,298,1 5890 | 34,299,1 5891 | 34,309,1 5892 | 34,324,1 5893 | 34,332,0 5894 | 34,333,0 5895 | 34,334,1 5896 | 34,343,1 5897 | 34,347,1 5898 | 34,361,1 5899 | 34,378,0 5900 | 34,382,0 5901 | 34,391,1 5902 | 34,392,1 5903 | 34,398,0 5904 | 34,411,0 5905 | 34,426,1 5906 | 34,428,1 5907 | 34,431,1 5908 | 34,452,1 5909 | 34,453,1 5910 | 34,458,1 5911 | 34,475,1 5912 | 34,476,1 5913 | 34,488,1 5914 | 34,492,1 5915 | 34,499,0 5916 | 34,511,1 5917 | 34,513,1 5918 | 34,520,0 5919 | 34,522,1 5920 | 34,532,1 5921 | 34,537,1 5922 | 34,541,1 5923 | 34,551,1 5924 | 34,552,0 5925 | 34,553,1 5926 | 34,556,1 5927 | 34,562,0 5928 | 34,574,1 5929 | 34,575,1 5930 | 34,576,1 5931 | 34,577,0 5932 | 34,578,1 5933 | 34,580,1 5934 | 34,581,1 5935 | 34,583,1 5936 | 34,594,1 5937 | 34,595,1 5938 | 34,597,0 5939 | 34,613,1 5940 | 34,618,1 5941 | 34,637,1 5942 | 34,643,0 5943 | 34,652,1 5944 | 34,654,1 5945 | 34,658,1 5946 | 34,659,1 5947 | 34,668,1 5948 | 34,669,1 5949 | 34,670,1 5950 | 34,682,0 5951 | 34,684,1 5952 | 34,687,1 5953 | 34,688,1 5954 | 34,690,1 5955 | 34,692,1 5956 | 34,702,1 5957 | 34,705,1 5958 | 34,706,1 5959 | 34,707,1 5960 | 34,708,1 5961 | 34,712,0 5962 | 34,717,1 5963 | 34,725,1 5964 | 34,730,1 5965 | 34,731,1 5966 | 34,744,0 5967 | 34,747,0 5968 | 34,748,1 5969 | 34,750,1 5970 | 34,752,0 5971 | 34,753,0 5972 | 34,754,1 5973 | 34,755,1 5974 | 34,759,1 5975 | 34,760,0 5976 | 34,765,0 5977 | 34,766,1 5978 | 34,767,1 5979 | 34,775,1 5980 | 34,777,0 5981 | 34,787,1 5982 | 34,797,0 5983 | 34,805,1 5984 | 34,809,0 5985 | 34,825,1 5986 | 34,826,1 5987 | 34,830,1 5988 | 34,837,0 5989 | 34,838,0 5990 | 34,851,0 5991 | 34,862,0 5992 | 34,876,1 5993 | 34,882,0 5994 | 35,28,0 5995 | 35,29,0 5996 | 35,33,1 5997 | 35,44,0 5998 | 35,46,1 5999 | 35,48,1 6000 | 35,52,1 6001 | 35,58,1 6002 | 35,59,1 6003 | 35,60,1 6004 | 35,62,0 6005 | 35,63,0 6006 | 35,64,1 6007 | 35,66,1 6008 | 35,68,0 6009 | 35,71,1 6010 | 35,74,1 6011 | 35,76,1 6012 | 35,79,0 6013 | 35,80,0 6014 | 35,88,1 6015 | 35,93,1 6016 | 35,95,1 6017 | 35,96,1 6018 | 35,97,1 6019 | 35,101,1 6020 | 35,107,0 6021 | 35,110,1 6022 | 35,111,1 6023 | 35,126,0 6024 | 35,131,0 6025 | 35,140,0 6026 | 35,141,0 6027 | 35,142,0 6028 | 35,149,1 6029 | 35,152,1 6030 | 35,160,1 6031 | 35,162,0 6032 | 35,165,1 6033 | 35,166,1 6034 | 35,169,0 6035 | 35,173,0 6036 | 35,176,0 6037 | 35,178,0 6038 | 35,195,1 6039 | 35,202,1 6040 | 35,203,0 6041 | 35,207,0 6042 | 35,215,0 6043 | 35,225,1 6044 | 35,227,1 6045 | 35,235,1 6046 | 35,250,1 6047 | 35,263,1 6048 | 35,266,1 6049 | 35,286,1 6050 | 35,288,0 6051 | 35,292,0 6052 | 35,310,1 6053 | 35,313,0 6054 | 35,314,1 6055 | 35,328,1 6056 | 35,334,0 6057 | 35,347,1 6058 | 35,363,1 6059 | 35,368,0 6060 | 35,369,1 6061 | 35,390,1 6062 | 35,391,0 6063 | 35,393,0 6064 | 35,403,0 6065 | 35,415,1 6066 | 35,427,1 6067 | 35,447,0 6068 | 35,450,0 6069 | 35,452,1 6070 | 35,464,0 6071 | 35,466,1 6072 | 35,487,1 6073 | 35,488,1 6074 | 35,490,1 6075 | 35,499,0 6076 | 35,509,0 6077 | 35,510,1 6078 | 35,512,1 6079 | 35,517,0 6080 | 35,522,1 6081 | 35,536,1 6082 | 35,537,1 6083 | 35,538,1 6084 | 35,545,0 6085 | 35,552,0 6086 | 35,554,1 6087 | 35,555,0 6088 | 35,559,0 6089 | 35,563,0 6090 | 35,565,0 6091 | 35,579,0 6092 | 35,583,0 6093 | 35,594,1 6094 | 35,600,1 6095 | 35,601,0 6096 | 35,602,0 6097 | 35,603,1 6098 | 35,610,0 6099 | 35,622,1 6100 | 35,625,1 6101 | 35,635,1 6102 | 35,636,1 6103 | 35,643,1 6104 | 35,645,0 6105 | 35,646,1 6106 | 35,674,0 6107 | 35,688,1 6108 | 35,689,1 6109 | 35,690,1 6110 | 35,712,1 6111 | 35,718,1 6112 | 35,725,1 6113 | 35,728,1 6114 | 35,729,1 6115 | 35,738,0 6116 | 35,756,1 6117 | 35,757,1 6118 | 35,763,0 6119 | 35,769,1 6120 | 35,775,0 6121 | 35,777,0 6122 | 35,778,0 6123 | 35,779,0 6124 | 35,780,0 6125 | 35,782,1 6126 | 35,800,1 6127 | 35,802,0 6128 | 35,803,0 6129 | 35,806,1 6130 | 35,808,0 6131 | 35,810,1 6132 | 35,811,1 6133 | 35,813,1 6134 | 35,816,1 6135 | 35,823,1 6136 | 35,827,0 6137 | 35,829,1 6138 | 35,846,0 6139 | 35,848,1 6140 | 35,849,1 6141 | 35,863,1 6142 | 35,877,0 6143 | 35,881,1 6144 | 35,883,0 6145 | 35,884,0 6146 | 36,15,1 6147 | 36,31,0 6148 | 36,43,1 6149 | 36,46,1 6150 | 36,58,0 6151 | 36,61,0 6152 | 36,64,0 6153 | 36,65,1 6154 | 36,74,1 6155 | 36,75,0 6156 | 36,80,1 6157 | 36,91,1 6158 | 36,92,0 6159 | 36,93,1 6160 | 36,95,0 6161 | 36,96,1 6162 | 36,97,1 6163 | 36,98,1 6164 | 36,101,1 6165 | 36,113,1 6166 | 36,134,0 6167 | 36,136,0 6168 | 36,138,0 6169 | 36,139,1 6170 | 36,140,0 6171 | 36,142,0 6172 | 36,143,1 6173 | 36,159,1 6174 | 36,168,1 6175 | 36,169,1 6176 | 36,170,0 6177 | 36,171,1 6178 | 36,174,0 6179 | 36,177,1 6180 | 36,179,0 6181 | 36,180,1 6182 | 36,217,0 6183 | 36,223,0 6184 | 36,225,0 6185 | 36,226,1 6186 | 36,229,0 6187 | 36,230,1 6188 | 36,237,1 6189 | 36,240,1 6190 | 36,252,1 6191 | 36,259,0 6192 | 36,261,0 6193 | 36,263,1 6194 | 36,264,1 6195 | 36,279,1 6196 | 36,281,1 6197 | 36,286,1 6198 | 36,298,0 6199 | 36,313,0 6200 | 36,316,1 6201 | 36,334,0 6202 | 36,350,0 6203 | 36,362,1 6204 | 36,363,0 6205 | 36,382,1 6206 | 36,388,1 6207 | 36,390,0 6208 | 36,391,0 6209 | 36,392,1 6210 | 36,409,0 6211 | 36,424,1 6212 | 36,427,0 6213 | 36,431,0 6214 | 36,449,1 6215 | 36,451,0 6216 | 36,453,1 6217 | 36,472,0 6218 | 36,479,1 6219 | 36,488,1 6220 | 36,502,1 6221 | 36,513,1 6222 | 36,518,1 6223 | 36,523,0 6224 | 36,530,1 6225 | 36,536,1 6226 | 36,538,1 6227 | 36,552,0 6228 | 36,557,1 6229 | 36,561,1 6230 | 36,563,0 6231 | 36,564,1 6232 | 36,565,0 6233 | 36,582,0 6234 | 36,583,1 6235 | 36,586,1 6236 | 36,587,1 6237 | 36,603,0 6238 | 36,611,1 6239 | 36,613,0 6240 | 36,620,0 6241 | 36,644,1 6242 | 36,645,1 6243 | 36,646,1 6244 | 36,650,0 6245 | 36,651,0 6246 | 36,652,0 6247 | 36,658,0 6248 | 36,669,1 6249 | 36,676,1 6250 | 36,677,0 6251 | 36,678,0 6252 | 36,679,0 6253 | 36,683,1 6254 | 36,686,1 6255 | 36,688,1 6256 | 36,689,0 6257 | 36,696,0 6258 | 36,706,1 6259 | 36,725,1 6260 | 36,727,1 6261 | 36,733,1 6262 | 36,737,1 6263 | 36,742,1 6264 | 36,751,1 6265 | 36,759,1 6266 | 36,762,1 6267 | 36,763,1 6268 | 36,765,0 6269 | 36,766,0 6270 | 36,774,0 6271 | 36,775,1 6272 | 36,776,1 6273 | 36,778,1 6274 | 36,781,1 6275 | 36,788,1 6276 | 36,790,1 6277 | 36,791,0 6278 | 36,792,1 6279 | 36,793,1 6280 | 36,794,1 6281 | 36,795,0 6282 | 36,796,0 6283 | 36,797,0 6284 | 36,800,0 6285 | 36,805,1 6286 | 36,806,1 6287 | 36,826,0 6288 | 36,830,1 6289 | 36,831,0 6290 | 36,832,0 6291 | 36,833,1 6292 | 36,834,0 6293 | 36,835,0 6294 | 36,836,1 6295 | 36,838,0 6296 | 36,839,0 6297 | 36,840,0 6298 | 36,841,0 6299 | 36,842,1 6300 | 36,847,0 6301 | 36,851,1 6302 | 36,852,0 6303 | 36,855,1 6304 | 36,859,0 6305 | 36,861,0 6306 | 36,877,0 6307 | 36,884,0 6308 | 36,885,0 6309 | 36,886,0 6310 | 36,887,1 6311 | 36,888,0 6312 | 36,889,0 6313 | 36,890,0 6314 | 37,20,0 6315 | 37,38,1 6316 | 37,43,1 6317 | 37,45,1 6318 | 37,49,0 6319 | 37,52,0 6320 | 37,53,1 6321 | 37,61,0 6322 | 37,69,1 6323 | 37,80,0 6324 | 37,81,1 6325 | 37,84,1 6326 | 37,91,1 6327 | 37,92,1 6328 | 37,94,1 6329 | 37,95,1 6330 | 37,96,1 6331 | 37,97,1 6332 | 37,98,1 6333 | 37,99,0 6334 | 37,100,1 6335 | 37,106,1 6336 | 37,108,0 6337 | 37,111,0 6338 | 37,122,0 6339 | 37,150,0 6340 | 37,159,1 6341 | 37,171,0 6342 | 37,172,0 6343 | 37,174,1 6344 | 37,175,0 6345 | 37,176,0 6346 | 37,177,0 6347 | 37,180,1 6348 | 37,182,0 6349 | 37,197,1 6350 | 37,198,0 6351 | 37,201,1 6352 | 37,208,0 6353 | 37,210,1 6354 | 37,215,1 6355 | 37,216,0 6356 | 37,217,0 6357 | 37,218,0 6358 | 37,219,1 6359 | 37,220,0 6360 | 37,224,0 6361 | 37,226,0 6362 | 37,227,1 6363 | 37,228,0 6364 | 37,229,1 6365 | 37,230,0 6366 | 37,247,0 6367 | 37,250,1 6368 | 37,251,1 6369 | 37,259,1 6370 | 37,261,0 6371 | 37,285,1 6372 | 37,298,0 6373 | 37,299,0 6374 | 37,305,0 6375 | 37,321,1 6376 | 37,326,0 6377 | 37,327,0 6378 | 37,328,0 6379 | 37,343,0 6380 | 37,347,1 6381 | 37,364,0 6382 | 37,365,1 6383 | 37,368,1 6384 | 37,378,0 6385 | 37,381,0 6386 | 37,410,0 6387 | 37,412,0 6388 | 37,413,1 6389 | 37,430,0 6390 | 37,431,0 6391 | 37,432,0 6392 | 37,433,0 6393 | 37,439,0 6394 | 37,440,1 6395 | 37,457,0 6396 | 37,459,1 6397 | 37,472,0 6398 | 37,473,0 6399 | 37,487,1 6400 | 37,488,0 6401 | 37,514,0 6402 | 37,515,1 6403 | 37,517,1 6404 | 37,518,0 6405 | 37,534,1 6406 | 37,536,0 6407 | 37,537,1 6408 | 37,538,0 6409 | 37,545,1 6410 | 37,552,0 6411 | 37,556,1 6412 | 37,576,1 6413 | 37,579,0 6414 | 37,580,1 6415 | 37,581,1 6416 | 37,584,0 6417 | 37,590,0 6418 | 37,611,0 6419 | 37,613,0 6420 | 37,622,0 6421 | 37,624,1 6422 | 37,628,1 6423 | 37,636,1 6424 | 37,643,1 6425 | 37,644,1 6426 | 37,645,1 6427 | 37,656,0 6428 | 37,658,0 6429 | 37,662,0 6430 | 37,670,1 6431 | 37,686,0 6432 | 37,688,1 6433 | 37,689,1 6434 | 37,691,0 6435 | 37,706,0 6436 | 37,707,0 6437 | 37,708,0 6438 | 37,712,0 6439 | 37,725,1 6440 | 37,729,1 6441 | 37,737,0 6442 | 37,744,1 6443 | 37,745,0 6444 | 37,746,1 6445 | 37,747,1 6446 | 37,748,0 6447 | 37,750,1 6448 | 37,751,1 6449 | 37,756,1 6450 | 37,758,0 6451 | 37,759,0 6452 | 37,760,0 6453 | 37,763,1 6454 | 37,776,1 6455 | 37,777,0 6456 | 37,784,1 6457 | 37,800,0 6458 | 37,802,1 6459 | 37,804,0 6460 | 37,805,1 6461 | 37,806,0 6462 | 37,812,1 6463 | 37,813,0 6464 | 37,818,1 6465 | 37,822,0 6466 | 37,824,1 6467 | 37,825,0 6468 | 37,828,1 6469 | 37,847,1 6470 | 37,848,1 6471 | 37,849,1 6472 | 37,853,0 6473 | 37,862,0 6474 | 37,876,0 6475 | 37,877,1 6476 | 38,15,1 6477 | 38,17,0 6478 | 38,22,1 6479 | 38,23,1 6480 | 38,46,0 6481 | 38,47,1 6482 | 38,48,1 6483 | 38,49,1 6484 | 38,50,1 6485 | 38,51,0 6486 | 38,52,1 6487 | 38,58,1 6488 | 38,59,1 6489 | 38,61,1 6490 | 38,63,1 6491 | 38,73,0 6492 | 38,74,0 6493 | 38,75,1 6494 | 38,85,1 6495 | 38,92,1 6496 | 38,94,1 6497 | 38,96,1 6498 | 38,98,0 6499 | 38,107,1 6500 | 38,111,1 6501 | 38,117,0 6502 | 38,118,1 6503 | 38,119,0 6504 | 38,121,0 6505 | 38,123,1 6506 | 38,125,1 6507 | 38,126,0 6508 | 38,127,0 6509 | 38,136,1 6510 | 38,137,1 6511 | 38,138,1 6512 | 38,139,1 6513 | 38,140,0 6514 | 38,148,1 6515 | 38,164,0 6516 | 38,171,1 6517 | 38,173,1 6518 | 38,183,0 6519 | 38,184,1 6520 | 38,197,1 6521 | 38,200,1 6522 | 38,204,1 6523 | 38,207,0 6524 | 38,215,1 6525 | 38,217,1 6526 | 38,219,1 6527 | 38,226,1 6528 | 38,233,0 6529 | 38,243,1 6530 | 38,246,0 6531 | 38,260,1 6532 | 38,263,1 6533 | 38,278,1 6534 | 38,308,1 6535 | 38,309,1 6536 | 38,333,1 6537 | 38,355,1 6538 | 38,367,0 6539 | 38,368,0 6540 | 38,378,0 6541 | 38,390,1 6542 | 38,430,1 6543 | 38,442,0 6544 | 38,443,0 6545 | 38,445,0 6546 | 38,448,0 6547 | 38,449,1 6548 | 38,451,1 6549 | 38,463,0 6550 | 38,464,1 6551 | 38,465,0 6552 | 38,476,0 6553 | 38,477,0 6554 | 38,487,1 6555 | 38,491,0 6556 | 38,495,0 6557 | 38,496,0 6558 | 38,497,1 6559 | 38,498,0 6560 | 38,502,1 6561 | 38,513,0 6562 | 38,522,1 6563 | 38,536,1 6564 | 38,542,1 6565 | 38,547,0 6566 | 38,550,0 6567 | 38,551,0 6568 | 38,552,0 6569 | 38,553,0 6570 | 38,554,0 6571 | 38,556,0 6572 | 38,561,0 6573 | 38,562,1 6574 | 38,563,1 6575 | 38,564,1 6576 | 38,576,1 6577 | 38,578,1 6578 | 38,595,0 6579 | 38,596,0 6580 | 38,597,1 6581 | 38,602,1 6582 | 38,624,1 6583 | 38,626,1 6584 | 38,635,1 6585 | 38,643,1 6586 | 38,644,1 6587 | 38,673,1 6588 | 38,674,0 6589 | 38,675,1 6590 | 38,682,1 6591 | 38,688,1 6592 | 38,690,0 6593 | 38,705,0 6594 | 38,707,1 6595 | 38,719,1 6596 | 38,726,1 6597 | 38,737,1 6598 | 38,740,1 6599 | 38,741,1 6600 | 38,751,1 6601 | 38,752,0 6602 | 38,753,0 6603 | 38,754,1 6604 | 38,755,1 6605 | 38,758,0 6606 | 38,763,1 6607 | 38,775,1 6608 | 38,776,1 6609 | 38,783,0 6610 | 38,790,0 6611 | 38,791,0 6612 | 38,792,0 6613 | 38,794,0 6614 | 38,804,0 6615 | 38,805,1 6616 | 38,808,1 6617 | 38,816,1 6618 | 38,822,0 6619 | 38,823,1 6620 | 38,831,0 6621 | 38,834,1 6622 | 38,835,0 6623 | 38,836,1 6624 | 38,838,0 6625 | 38,840,1 6626 | 38,842,0 6627 | 38,853,1 6628 | 38,860,0 6629 | 38,882,1 6630 | 38,890,0 6631 | 39,1,1 6632 | 39,3,0 6633 | 39,12,1 6634 | 39,17,0 6635 | 39,30,0 6636 | 39,45,1 6637 | 39,52,1 6638 | 39,58,0 6639 | 39,61,1 6640 | 39,68,0 6641 | 39,69,0 6642 | 39,73,0 6643 | 39,74,0 6644 | 39,75,0 6645 | 39,78,1 6646 | 39,83,1 6647 | 39,84,1 6648 | 39,85,0 6649 | 39,90,1 6650 | 39,91,1 6651 | 39,95,1 6652 | 39,97,1 6653 | 39,99,1 6654 | 39,104,0 6655 | 39,105,1 6656 | 39,108,0 6657 | 39,110,1 6658 | 39,111,1 6659 | 39,113,0 6660 | 39,127,0 6661 | 39,133,1 6662 | 39,135,0 6663 | 39,140,1 6664 | 39,143,1 6665 | 39,161,1 6666 | 39,162,1 6667 | 39,165,0 6668 | 39,167,0 6669 | 39,170,1 6670 | 39,172,0 6671 | 39,173,0 6672 | 39,174,0 6673 | 39,178,1 6674 | 39,179,0 6675 | 39,181,0 6676 | 39,182,0 6677 | 39,183,1 6678 | 39,198,1 6679 | 39,208,0 6680 | 39,216,0 6681 | 39,220,0 6682 | 39,223,1 6683 | 39,228,0 6684 | 39,229,0 6685 | 39,240,0 6686 | 39,242,0 6687 | 39,246,0 6688 | 39,249,1 6689 | 39,254,1 6690 | 39,256,1 6691 | 39,259,1 6692 | 39,266,1 6693 | 39,274,1 6694 | 39,283,1 6695 | 39,284,1 6696 | 39,298,0 6697 | 39,300,0 6698 | 39,315,1 6699 | 39,320,1 6700 | 39,323,1 6701 | 39,327,1 6702 | 39,329,0 6703 | 39,339,1 6704 | 39,349,1 6705 | 39,363,1 6706 | 39,367,0 6707 | 39,379,1 6708 | 39,389,1 6709 | 39,398,1 6710 | 39,402,0 6711 | 39,433,0 6712 | 39,439,1 6713 | 39,453,1 6714 | 39,457,0 6715 | 39,458,0 6716 | 39,459,0 6717 | 39,473,0 6718 | 39,487,1 6719 | 39,488,1 6720 | 39,499,0 6721 | 39,502,1 6722 | 39,505,1 6723 | 39,523,0 6724 | 39,536,1 6725 | 39,537,1 6726 | 39,561,0 6727 | 39,562,1 6728 | 39,564,0 6729 | 39,565,0 6730 | 39,574,1 6731 | 39,576,0 6732 | 39,580,1 6733 | 39,584,0 6734 | 39,590,1 6735 | 39,594,1 6736 | 39,598,1 6737 | 39,611,0 6738 | 39,612,1 6739 | 39,640,0 6740 | 39,643,1 6741 | 39,646,1 6742 | 39,649,0 6743 | 39,651,1 6744 | 39,658,0 6745 | 39,669,0 6746 | 39,675,0 6747 | 39,676,1 6748 | 39,678,1 6749 | 39,679,0 6750 | 39,683,0 6751 | 39,696,1 6752 | 39,708,1 6753 | 39,709,1 6754 | 39,711,1 6755 | 39,725,0 6756 | 39,726,1 6757 | 39,728,0 6758 | 39,736,1 6759 | 39,739,1 6760 | 39,747,1 6761 | 39,748,0 6762 | 39,761,0 6763 | 39,764,1 6764 | 39,765,0 6765 | 39,769,1 6766 | 39,774,0 6767 | 39,775,1 6768 | 39,776,1 6769 | 39,777,1 6770 | 39,778,1 6771 | 39,788,1 6772 | 39,790,1 6773 | 39,791,0 6774 | 39,792,1 6775 | 39,793,1 6776 | 39,794,0 6777 | 39,795,1 6778 | 39,797,0 6779 | 39,805,1 6780 | 39,806,1 6781 | 39,811,1 6782 | 39,813,0 6783 | 39,816,1 6784 | 39,824,0 6785 | 39,825,0 6786 | 39,830,0 6787 | 39,834,0 6788 | 39,835,1 6789 | 39,836,1 6790 | 39,838,0 6791 | 39,840,1 6792 | 39,842,0 6793 | 39,847,1 6794 | 39,848,1 6795 | 39,851,0 6796 | 39,852,0 6797 | 39,855,0 6798 | 39,856,1 6799 | 39,875,1 6800 | 39,881,1 6801 | 39,885,0 6802 | 39,887,1 6803 | 39,888,0 6804 | 39,889,0 6805 | 39,890,0 6806 | 40,32,1 6807 | 40,35,0 6808 | 40,48,1 6809 | 40,56,1 6810 | 40,59,0 6811 | 40,60,1 6812 | 40,74,0 6813 | 40,76,0 6814 | 40,77,0 6815 | 40,80,1 6816 | 40,92,1 6817 | 40,93,1 6818 | 40,94,0 6819 | 40,96,1 6820 | 40,98,1 6821 | 40,99,1 6822 | 40,101,0 6823 | 40,122,0 6824 | 40,124,0 6825 | 40,125,0 6826 | 40,126,1 6827 | 40,130,0 6828 | 40,131,1 6829 | 40,133,0 6830 | 40,136,1 6831 | 40,139,1 6832 | 40,145,1 6833 | 40,159,1 6834 | 40,160,0 6835 | 40,161,0 6836 | 40,162,1 6837 | 40,163,1 6838 | 40,164,0 6839 | 40,166,1 6840 | 40,167,1 6841 | 40,170,0 6842 | 40,176,0 6843 | 40,180,0 6844 | 40,187,0 6845 | 40,202,1 6846 | 40,207,1 6847 | 40,216,1 6848 | 40,217,1 6849 | 40,220,1 6850 | 40,221,1 6851 | 40,222,0 6852 | 40,226,1 6853 | 40,228,1 6854 | 40,240,1 6855 | 40,242,1 6856 | 40,250,0 6857 | 40,253,1 6858 | 40,254,1 6859 | 40,256,1 6860 | 40,259,1 6861 | 40,263,1 6862 | 40,268,1 6863 | 40,282,1 6864 | 40,286,0 6865 | 40,298,1 6866 | 40,327,0 6867 | 40,331,0 6868 | 40,332,1 6869 | 40,342,1 6870 | 40,367,0 6871 | 40,368,1 6872 | 40,369,0 6873 | 40,392,1 6874 | 40,408,0 6875 | 40,409,1 6876 | 40,415,0 6877 | 40,422,1 6878 | 40,430,0 6879 | 40,431,0 6880 | 40,433,1 6881 | 40,448,1 6882 | 40,449,1 6883 | 40,471,0 6884 | 40,486,1 6885 | 40,488,1 6886 | 40,499,1 6887 | 40,502,1 6888 | 40,515,0 6889 | 40,516,1 6890 | 40,523,1 6891 | 40,532,0 6892 | 40,536,1 6893 | 40,538,1 6894 | 40,553,0 6895 | 40,554,1 6896 | 40,555,1 6897 | 40,556,1 6898 | 40,562,0 6899 | 40,563,0 6900 | 40,564,1 6901 | 40,569,1 6902 | 40,574,1 6903 | 40,575,1 6904 | 40,576,0 6905 | 40,577,1 6906 | 40,578,0 6907 | 40,579,0 6908 | 40,580,1 6909 | 40,581,1 6910 | 40,583,0 6911 | 40,584,1 6912 | 40,585,1 6913 | 40,599,1 6914 | 40,601,1 6915 | 40,603,0 6916 | 40,606,1 6917 | 40,611,1 6918 | 40,613,1 6919 | 40,624,1 6920 | 40,645,1 6921 | 40,646,1 6922 | 40,651,1 6923 | 40,652,1 6924 | 40,661,1 6925 | 40,668,0 6926 | 40,669,0 6927 | 40,675,1 6928 | 40,676,1 6929 | 40,678,0 6930 | 40,679,0 6931 | 40,683,1 6932 | 40,691,1 6933 | 40,692,0 6934 | 40,693,0 6935 | 40,694,1 6936 | 40,695,1 6937 | 40,696,1 6938 | 40,699,1 6939 | 40,705,0 6940 | 40,706,1 6941 | 40,707,0 6942 | 40,708,1 6943 | 40,712,1 6944 | 40,713,0 6945 | 40,725,1 6946 | 40,727,1 6947 | 40,728,0 6948 | 40,729,1 6949 | 40,744,1 6950 | 40,745,0 6951 | 40,746,0 6952 | 40,747,0 6953 | 40,748,0 6954 | 40,750,0 6955 | 40,752,0 6956 | 40,753,1 6957 | 40,754,1 6958 | 40,755,1 6959 | 40,756,0 6960 | 40,758,1 6961 | 40,759,0 6962 | 40,760,0 6963 | 40,762,0 6964 | 40,769,0 6965 | 40,776,0 6966 | 40,777,1 6967 | 40,778,1 6968 | 40,780,0 6969 | 40,788,1 6970 | 40,791,0 6971 | 40,792,0 6972 | 40,794,0 6973 | 40,795,0 6974 | 40,800,0 6975 | 40,805,1 6976 | 40,806,1 6977 | 40,812,0 6978 | 40,825,0 6979 | 40,827,0 6980 | 40,834,1 6981 | 40,836,1 6982 | 40,839,0 6983 | 40,840,0 6984 | 40,842,1 6985 | 40,847,1 6986 | 40,852,0 6987 | 40,859,0 6988 | 40,860,1 6989 | 40,877,1 6990 | 40,880,0 6991 | 40,882,0 6992 | 40,884,0 6993 | 40,885,0 6994 | 40,886,0 6995 | 40,887,1 6996 | 41,20,0 6997 | 41,53,1 6998 | 41,64,1 6999 | 41,68,1 7000 | 41,74,1 7001 | 41,79,1 7002 | 41,83,1 7003 | 41,91,1 7004 | 41,92,1 7005 | 41,93,1 7006 | 41,94,1 7007 | 41,95,0 7008 | 41,97,0 7009 | 41,98,1 7010 | 41,100,1 7011 | 41,101,0 7012 | 41,107,0 7013 | 41,110,0 7014 | 41,111,0 7015 | 41,112,0 7016 | 41,121,1 7017 | 41,122,0 7018 | 41,123,0 7019 | 41,124,0 7020 | 41,126,0 7021 | 41,127,0 7022 | 41,133,0 7023 | 41,134,0 7024 | 41,135,1 7025 | 41,137,0 7026 | 41,138,1 7027 | 41,139,0 7028 | 41,142,1 7029 | 41,163,0 7030 | 41,171,0 7031 | 41,175,1 7032 | 41,176,1 7033 | 41,182,0 7034 | 41,184,1 7035 | 41,190,1 7036 | 41,197,0 7037 | 41,200,1 7038 | 41,201,1 7039 | 41,207,0 7040 | 41,211,1 7041 | 41,213,0 7042 | 41,215,0 7043 | 41,217,0 7044 | 41,219,1 7045 | 41,220,1 7046 | 41,221,0 7047 | 41,222,1 7048 | 41,223,1 7049 | 41,240,1 7050 | 41,247,0 7051 | 41,258,1 7052 | 41,263,1 7053 | 41,267,1 7054 | 41,298,1 7055 | 41,306,1 7056 | 41,315,1 7057 | 41,330,1 7058 | 41,342,1 7059 | 41,343,1 7060 | 41,347,0 7061 | 41,366,1 7062 | 41,367,0 7063 | 41,368,1 7064 | 41,378,1 7065 | 41,402,1 7066 | 41,410,0 7067 | 41,412,0 7068 | 41,413,1 7069 | 41,416,1 7070 | 41,449,1 7071 | 41,451,1 7072 | 41,458,1 7073 | 41,467,1 7074 | 41,469,0 7075 | 41,470,1 7076 | 41,473,0 7077 | 41,476,1 7078 | 41,486,0 7079 | 41,487,1 7080 | 41,488,1 7081 | 41,495,0 7082 | 41,496,0 7083 | 41,497,1 7084 | 41,498,1 7085 | 41,499,0 7086 | 41,510,1 7087 | 41,518,1 7088 | 41,522,1 7089 | 41,536,1 7090 | 41,537,0 7091 | 41,538,1 7092 | 41,550,1 7093 | 41,551,0 7094 | 41,553,0 7095 | 41,554,0 7096 | 41,555,0 7097 | 41,556,1 7098 | 41,566,1 7099 | 41,569,0 7100 | 41,576,0 7101 | 41,577,1 7102 | 41,578,0 7103 | 41,579,0 7104 | 41,581,0 7105 | 41,583,1 7106 | 41,585,1 7107 | 41,605,0 7108 | 41,606,1 7109 | 41,622,1 7110 | 41,624,0 7111 | 41,643,1 7112 | 41,644,1 7113 | 41,645,0 7114 | 41,646,1 7115 | 41,650,1 7116 | 41,651,0 7117 | 41,654,0 7118 | 41,670,1 7119 | 41,685,1 7120 | 41,686,1 7121 | 41,687,1 7122 | 41,689,1 7123 | 41,691,0 7124 | 41,706,0 7125 | 41,708,0 7126 | 41,730,1 7127 | 41,734,0 7128 | 41,738,1 7129 | 41,744,1 7130 | 41,746,1 7131 | 41,750,0 7132 | 41,751,0 7133 | 41,752,0 7134 | 41,753,0 7135 | 41,754,1 7136 | 41,755,1 7137 | 41,756,0 7138 | 41,759,0 7139 | 41,765,0 7140 | 41,775,1 7141 | 41,776,1 7142 | 41,777,0 7143 | 41,778,1 7144 | 41,783,1 7145 | 41,788,1 7146 | 41,789,0 7147 | 41,790,1 7148 | 41,801,1 7149 | 41,802,1 7150 | 41,804,0 7151 | 41,805,1 7152 | 41,806,0 7153 | 41,810,0 7154 | 41,813,1 7155 | 41,815,0 7156 | 41,823,1 7157 | 41,828,0 7158 | 41,833,1 7159 | 41,835,0 7160 | 41,859,1 7161 | 41,877,1 7162 | 41,882,0 7163 | 42,0,1 7164 | 42,32,0 7165 | 42,45,0 7166 | 42,46,1 7167 | 42,48,0 7168 | 42,51,1 7169 | 42,58,0 7170 | 42,59,0 7171 | 42,61,1 7172 | 42,63,0 7173 | 42,65,1 7174 | 42,67,1 7175 | 42,68,1 7176 | 42,69,1 7177 | 42,70,0 7178 | 42,71,1 7179 | 42,72,1 7180 | 42,73,1 7181 | 42,74,0 7182 | 42,76,1 7183 | 42,77,0 7184 | 42,79,1 7185 | 42,81,1 7186 | 42,92,1 7187 | 42,93,1 7188 | 42,95,1 7189 | 42,97,1 7190 | 42,98,1 7191 | 42,100,1 7192 | 42,101,1 7193 | 42,109,1 7194 | 42,115,1 7195 | 42,121,1 7196 | 42,122,0 7197 | 42,135,1 7198 | 42,136,1 7199 | 42,139,0 7200 | 42,140,1 7201 | 42,144,1 7202 | 42,160,0 7203 | 42,161,1 7204 | 42,162,1 7205 | 42,167,1 7206 | 42,173,1 7207 | 42,179,1 7208 | 42,202,1 7209 | 42,204,0 7210 | 42,206,0 7211 | 42,207,1 7212 | 42,208,1 7213 | 42,211,0 7214 | 42,212,0 7215 | 42,213,1 7216 | 42,215,0 7217 | 42,217,1 7218 | 42,225,0 7219 | 42,227,0 7220 | 42,229,1 7221 | 42,236,1 7222 | 42,252,1 7223 | 42,262,0 7224 | 42,267,1 7225 | 42,280,1 7226 | 42,310,0 7227 | 42,312,1 7228 | 42,323,0 7229 | 42,337,0 7230 | 42,363,0 7231 | 42,374,1 7232 | 42,386,1 7233 | 42,443,1 7234 | 42,449,0 7235 | 42,450,0 7236 | 42,458,1 7237 | 42,465,0 7238 | 42,475,1 7239 | 42,488,1 7240 | 42,492,1 7241 | 42,504,1 7242 | 42,510,0 7243 | 42,511,0 7244 | 42,512,1 7245 | 42,513,1 7246 | 42,515,0 7247 | 42,516,0 7248 | 42,517,0 7249 | 42,518,0 7250 | 42,537,1 7251 | 42,544,1 7252 | 42,547,0 7253 | 42,554,0 7254 | 42,557,0 7255 | 42,561,1 7256 | 42,563,1 7257 | 42,566,1 7258 | 42,576,1 7259 | 42,581,0 7260 | 42,582,1 7261 | 42,583,1 7262 | 42,596,0 7263 | 42,597,0 7264 | 42,606,1 7265 | 42,611,1 7266 | 42,612,1 7267 | 42,613,0 7268 | 42,633,0 7269 | 42,634,1 7270 | 42,639,1 7271 | 42,643,1 7272 | 42,644,1 7273 | 42,646,1 7274 | 42,673,0 7275 | 42,675,0 7276 | 42,677,0 7277 | 42,683,1 7278 | 42,684,0 7279 | 42,685,1 7280 | 42,686,1 7281 | 42,687,0 7282 | 42,696,1 7283 | 42,705,1 7284 | 42,706,1 7285 | 42,707,1 7286 | 42,710,0 7287 | 42,724,1 7288 | 42,725,1 7289 | 42,726,0 7290 | 42,733,1 7291 | 42,736,0 7292 | 42,737,0 7293 | 42,738,1 7294 | 42,744,0 7295 | 42,748,1 7296 | 42,760,1 7297 | 42,761,0 7298 | 42,762,1 7299 | 42,763,1 7300 | 42,764,1 7301 | 42,770,1 7302 | 42,776,1 7303 | 42,778,1 7304 | 42,780,1 7305 | 42,785,1 7306 | 42,801,1 7307 | 42,802,1 7308 | 42,805,1 7309 | 42,808,1 7310 | 42,809,1 7311 | 42,810,1 7312 | 42,812,0 7313 | 42,813,1 7314 | 42,816,1 7315 | 42,821,1 7316 | 42,824,0 7317 | 42,825,0 7318 | 42,826,0 7319 | 42,827,0 7320 | 42,828,1 7321 | 42,830,0 7322 | 42,831,1 7323 | 42,833,0 7324 | 42,844,1 7325 | 42,845,1 7326 | 42,846,1 7327 | 42,847,1 7328 | 42,851,0 7329 | 42,853,0 7330 | 42,858,1 7331 | 42,861,0 7332 | 42,875,1 7333 | 42,876,1 7334 | 42,877,1 7335 | 42,879,1 7336 | 42,880,1 7337 | 42,881,1 7338 | 42,882,1 7339 | 42,885,0 7340 | 42,888,1 7341 | 43,13,1 7342 | 43,22,1 7343 | 43,43,1 7344 | 43,49,1 7345 | 43,59,0 7346 | 43,66,0 7347 | 43,68,0 7348 | 43,69,1 7349 | 43,71,1 7350 | 43,74,1 7351 | 43,76,1 7352 | 43,78,1 7353 | 43,79,1 7354 | 43,91,1 7355 | 43,92,0 7356 | 43,93,0 7357 | 43,94,1 7358 | 43,95,1 7359 | 43,96,1 7360 | 43,97,0 7361 | 43,98,0 7362 | 43,99,0 7363 | 43,100,1 7364 | 43,115,0 7365 | 43,116,0 7366 | 43,117,0 7367 | 43,118,0 7368 | 43,119,0 7369 | 43,121,0 7370 | 43,122,0 7371 | 43,123,0 7372 | 43,124,1 7373 | 43,125,1 7374 | 43,126,0 7375 | 43,127,0 7376 | 43,133,0 7377 | 43,135,0 7378 | 43,136,0 7379 | 43,137,0 7380 | 43,138,0 7381 | 43,139,0 7382 | 43,140,0 7383 | 43,141,1 7384 | 43,142,1 7385 | 43,160,0 7386 | 43,162,1 7387 | 43,174,0 7388 | 43,177,0 7389 | 43,178,0 7390 | 43,179,1 7391 | 43,206,0 7392 | 43,214,0 7393 | 43,221,1 7394 | 43,222,0 7395 | 43,229,1 7396 | 43,231,1 7397 | 43,240,0 7398 | 43,252,1 7399 | 43,262,1 7400 | 43,275,1 7401 | 43,290,1 7402 | 43,307,1 7403 | 43,310,0 7404 | 43,317,1 7405 | 43,341,1 7406 | 43,366,0 7407 | 43,367,0 7408 | 43,368,0 7409 | 43,389,1 7410 | 43,396,1 7411 | 43,414,1 7412 | 43,433,1 7413 | 43,442,0 7414 | 43,449,1 7415 | 43,457,0 7416 | 43,462,1 7417 | 43,463,1 7418 | 43,464,1 7419 | 43,465,1 7420 | 43,472,1 7421 | 43,476,0 7422 | 43,478,1 7423 | 43,487,1 7424 | 43,488,1 7425 | 43,491,1 7426 | 43,493,1 7427 | 43,495,0 7428 | 43,496,0 7429 | 43,497,0 7430 | 43,498,0 7431 | 43,499,0 7432 | 43,502,0 7433 | 43,509,1 7434 | 43,516,1 7435 | 43,520,0 7436 | 43,522,0 7437 | 43,523,0 7438 | 43,525,0 7439 | 43,536,1 7440 | 43,537,0 7441 | 43,538,1 7442 | 43,549,0 7443 | 43,550,0 7444 | 43,551,1 7445 | 43,552,0 7446 | 43,553,0 7447 | 43,555,1 7448 | 43,556,1 7449 | 43,558,1 7450 | 43,561,0 7451 | 43,562,1 7452 | 43,563,0 7453 | 43,564,0 7454 | 43,565,1 7455 | 43,575,1 7456 | 43,578,1 7457 | 43,596,0 7458 | 43,597,1 7459 | 43,598,0 7460 | 43,601,1 7461 | 43,626,0 7462 | 43,643,1 7463 | 43,644,1 7464 | 43,645,1 7465 | 43,646,0 7466 | 43,649,0 7467 | 43,650,1 7468 | 43,651,1 7469 | 43,668,1 7470 | 43,673,1 7471 | 43,675,1 7472 | 43,676,0 7473 | 43,677,0 7474 | 43,678,0 7475 | 43,679,1 7476 | 43,683,0 7477 | 43,687,1 7478 | 43,688,0 7479 | 43,689,0 7480 | 43,691,0 7481 | 43,692,0 7482 | 43,693,0 7483 | 43,694,1 7484 | 43,695,0 7485 | 43,696,1 7486 | 43,710,1 7487 | 43,714,1 7488 | 43,718,1 7489 | 43,725,1 7490 | 43,730,1 7491 | 43,733,1 7492 | 43,734,0 7493 | 43,737,0 7494 | 43,744,0 7495 | 43,750,0 7496 | 43,751,0 7497 | 43,752,0 7498 | 43,753,0 7499 | 43,754,0 7500 | 43,755,0 7501 | 43,756,0 7502 | 43,758,1 7503 | 43,763,1 7504 | 43,764,1 7505 | 43,765,0 7506 | 43,766,0 7507 | 43,774,0 7508 | 43,775,0 7509 | 43,776,0 7510 | 43,777,1 7511 | 43,788,0 7512 | 43,789,0 7513 | 43,790,1 7514 | 43,791,1 7515 | 43,792,0 7516 | 43,793,0 7517 | 43,794,0 7518 | 43,795,0 7519 | 43,796,0 7520 | 43,797,0 7521 | 43,805,0 7522 | 43,806,0 7523 | 43,825,1 7524 | 43,826,1 7525 | 43,830,0 7526 | 43,831,0 7527 | 43,833,0 7528 | 43,834,1 7529 | 43,835,0 7530 | 43,836,1 7531 | 43,837,0 7532 | 43,838,0 7533 | 43,839,0 7534 | 43,840,0 7535 | 43,841,0 7536 | 43,842,0 7537 | 43,847,0 7538 | 43,851,0 7539 | 43,852,1 7540 | 43,859,0 7541 | 43,860,0 7542 | 43,877,1 7543 | 43,882,0 7544 | 43,884,1 7545 | 43,885,0 7546 | 43,886,0 7547 | 43,887,1 7548 | 43,888,0 7549 | 43,889,0 7550 | 44,2,1 7551 | 44,21,0 7552 | 44,44,1 7553 | 44,59,0 7554 | 44,62,1 7555 | 44,66,0 7556 | 44,67,1 7557 | 44,69,0 7558 | 44,71,1 7559 | 44,73,0 7560 | 44,74,1 7561 | 44,76,0 7562 | 44,80,1 7563 | 44,81,0 7564 | 44,93,1 7565 | 44,94,1 7566 | 44,95,1 7567 | 44,96,1 7568 | 44,97,1 7569 | 44,99,1 7570 | 44,100,1 7571 | 44,108,1 7572 | 44,113,1 7573 | 44,133,0 7574 | 44,134,0 7575 | 44,135,1 7576 | 44,139,0 7577 | 44,140,0 7578 | 44,159,0 7579 | 44,160,1 7580 | 44,161,0 7581 | 44,162,1 7582 | 44,163,0 7583 | 44,164,0 7584 | 44,166,1 7585 | 44,167,0 7586 | 44,173,1 7587 | 44,178,1 7588 | 44,197,1 7589 | 44,200,0 7590 | 44,202,1 7591 | 44,216,1 7592 | 44,218,1 7593 | 44,219,0 7594 | 44,220,0 7595 | 44,221,1 7596 | 44,223,0 7597 | 44,225,0 7598 | 44,227,1 7599 | 44,246,0 7600 | 44,247,1 7601 | 44,256,1 7602 | 44,262,0 7603 | 44,263,1 7604 | 44,264,0 7605 | 44,265,0 7606 | 44,280,1 7607 | 44,306,1 7608 | 44,347,1 7609 | 44,365,0 7610 | 44,366,1 7611 | 44,367,1 7612 | 44,390,1 7613 | 44,440,0 7614 | 44,453,1 7615 | 44,478,1 7616 | 44,483,1 7617 | 44,485,1 7618 | 44,486,1 7619 | 44,487,1 7620 | 44,516,1 7621 | 44,517,1 7622 | 44,521,1 7623 | 44,536,0 7624 | 44,537,1 7625 | 44,545,1 7626 | 44,550,0 7627 | 44,559,0 7628 | 44,561,1 7629 | 44,563,1 7630 | 44,565,1 7631 | 44,574,1 7632 | 44,577,0 7633 | 44,578,0 7634 | 44,579,0 7635 | 44,580,1 7636 | 44,581,0 7637 | 44,610,0 7638 | 44,611,1 7639 | 44,612,1 7640 | 44,613,1 7641 | 44,644,1 7642 | 44,649,1 7643 | 44,650,1 7644 | 44,651,0 7645 | 44,652,1 7646 | 44,661,1 7647 | 44,669,0 7648 | 44,678,0 7649 | 44,679,0 7650 | 44,681,1 7651 | 44,683,1 7652 | 44,685,1 7653 | 44,686,0 7654 | 44,691,1 7655 | 44,692,0 7656 | 44,693,0 7657 | 44,694,1 7658 | 44,695,1 7659 | 44,697,1 7660 | 44,706,0 7661 | 44,712,1 7662 | 44,725,0 7663 | 44,726,0 7664 | 44,727,1 7665 | 44,745,0 7666 | 44,746,1 7667 | 44,750,0 7668 | 44,751,1 7669 | 44,759,1 7670 | 44,760,0 7671 | 44,761,1 7672 | 44,762,1 7673 | 44,764,1 7674 | 44,765,0 7675 | 44,774,0 7676 | 44,775,1 7677 | 44,776,1 7678 | 44,777,1 7679 | 44,779,0 7680 | 44,789,0 7681 | 44,790,0 7682 | 44,791,0 7683 | 44,792,1 7684 | 44,794,1 7685 | 44,796,1 7686 | 44,812,0 7687 | 44,813,1 7688 | 44,825,1 7689 | 44,826,1 7690 | 44,831,0 7691 | 44,833,1 7692 | 44,834,0 7693 | 44,835,0 7694 | 44,852,0 7695 | 44,854,0 7696 | 44,861,1 7697 | 44,862,1 7698 | 44,863,1 7699 | 44,880,1 7700 | 44,884,0 7701 | 44,886,0 7702 | 44,888,0 7703 | 44,890,0 7704 | 45,4,0 7705 | 45,26,1 7706 | 45,32,1 7707 | 45,34,1 7708 | 45,45,1 7709 | 45,48,1 7710 | 45,49,0 7711 | 45,59,0 7712 | 45,60,1 7713 | 45,61,0 7714 | 45,62,0 7715 | 45,64,0 7716 | 45,65,1 7717 | 45,67,0 7718 | 45,68,0 7719 | 45,69,1 7720 | 45,70,1 7721 | 45,72,0 7722 | 45,73,1 7723 | 45,74,1 7724 | 45,77,0 7725 | 45,79,1 7726 | 45,82,0 7727 | 45,84,1 7728 | 45,85,1 7729 | 45,87,1 7730 | 45,91,0 7731 | 45,92,1 7732 | 45,93,1 7733 | 45,94,1 7734 | 45,95,1 7735 | 45,96,1 7736 | 45,97,0 7737 | 45,99,0 7738 | 45,101,1 7739 | 45,104,1 7740 | 45,112,1 7741 | 45,116,0 7742 | 45,118,1 7743 | 45,122,0 7744 | 45,125,1 7745 | 45,126,1 7746 | 45,127,0 7747 | 45,131,1 7748 | 45,138,0 7749 | 45,139,0 7750 | 45,140,0 7751 | 45,161,0 7752 | 45,162,0 7753 | 45,163,1 7754 | 45,164,0 7755 | 45,165,1 7756 | 45,166,0 7757 | 45,167,1 7758 | 45,169,0 7759 | 45,210,1 7760 | 45,215,1 7761 | 45,219,1 7762 | 45,220,1 7763 | 45,222,0 7764 | 45,225,1 7765 | 45,227,0 7766 | 45,228,1 7767 | 45,230,1 7768 | 45,231,0 7769 | 45,234,0 7770 | 45,280,1 7771 | 45,284,0 7772 | 45,313,0 7773 | 45,333,1 7774 | 45,356,1 7775 | 45,368,0 7776 | 45,373,1 7777 | 45,389,1 7778 | 45,391,1 7779 | 45,411,1 7780 | 45,414,1 7781 | 45,442,0 7782 | 45,445,1 7783 | 45,449,0 7784 | 45,458,1 7785 | 45,463,0 7786 | 45,464,0 7787 | 45,474,1 7788 | 45,487,1 7789 | 45,488,1 7790 | 45,495,0 7791 | 45,496,0 7792 | 45,497,1 7793 | 45,498,1 7794 | 45,502,1 7795 | 45,513,1 7796 | 45,516,0 7797 | 45,517,1 7798 | 45,523,0 7799 | 45,536,1 7800 | 45,538,1 7801 | 45,543,0 7802 | 45,549,1 7803 | 45,550,1 7804 | 45,556,1 7805 | 45,561,0 7806 | 45,562,1 7807 | 45,563,0 7808 | 45,564,1 7809 | 45,565,0 7810 | 45,574,0 7811 | 45,576,1 7812 | 45,577,1 7813 | 45,579,0 7814 | 45,581,0 7815 | 45,582,0 7816 | 45,583,1 7817 | 45,601,0 7818 | 45,610,1 7819 | 45,612,0 7820 | 45,613,1 7821 | 45,643,1 7822 | 45,645,1 7823 | 45,646,1 7824 | 45,649,0 7825 | 45,650,1 7826 | 45,651,1 7827 | 45,652,1 7828 | 45,669,1 7829 | 45,670,1 7830 | 45,673,0 7831 | 45,674,0 7832 | 45,675,0 7833 | 45,676,1 7834 | 45,677,0 7835 | 45,678,0 7836 | 45,679,0 7837 | 45,690,0 7838 | 45,691,1 7839 | 45,692,0 7840 | 45,693,1 7841 | 45,694,0 7842 | 45,695,1 7843 | 45,705,1 7844 | 45,706,1 7845 | 45,707,0 7846 | 45,731,1 7847 | 45,733,0 7848 | 45,736,1 7849 | 45,737,0 7850 | 45,738,1 7851 | 45,744,0 7852 | 45,748,0 7853 | 45,750,1 7854 | 45,751,1 7855 | 45,760,1 7856 | 45,761,0 7857 | 45,763,0 7858 | 45,765,0 7859 | 45,766,1 7860 | 45,774,1 7861 | 45,775,1 7862 | 45,778,1 7863 | 45,779,0 7864 | 45,780,0 7865 | 45,782,1 7866 | 45,789,0 7867 | 45,791,1 7868 | 45,792,0 7869 | 45,793,0 7870 | 45,794,0 7871 | 45,795,0 7872 | 45,797,1 7873 | 45,802,0 7874 | 45,805,0 7875 | 45,813,0 7876 | 45,825,1 7877 | 45,827,0 7878 | 45,828,0 7879 | 45,831,0 7880 | 45,833,1 7881 | 45,834,0 7882 | 45,835,0 7883 | 45,836,1 7884 | 45,837,0 7885 | 45,838,0 7886 | 45,839,1 7887 | 45,840,0 7888 | 45,841,0 7889 | 45,842,0 7890 | 45,844,1 7891 | 45,845,0 7892 | 45,846,0 7893 | 45,847,1 7894 | 45,848,0 7895 | 45,849,0 7896 | 45,851,0 7897 | 45,852,0 7898 | 45,859,0 7899 | 45,860,0 7900 | 45,862,0 7901 | 45,877,0 7902 | 45,878,1 7903 | 45,881,0 7904 | 45,882,1 7905 | 45,884,0 7906 | 45,885,0 7907 | 45,886,1 7908 | 45,887,1 7909 | 45,888,0 7910 | 45,889,0 7911 | 46,15,1 7912 | 46,16,1 7913 | 46,18,0 7914 | 46,19,1 7915 | 46,20,0 7916 | 46,23,1 7917 | 46,44,1 7918 | 46,46,1 7919 | 46,50,1 7920 | 46,51,0 7921 | 46,52,0 7922 | 46,58,1 7923 | 46,59,0 7924 | 46,61,1 7925 | 46,65,0 7926 | 46,66,0 7927 | 46,73,0 7928 | 46,74,0 7929 | 46,75,1 7930 | 46,94,0 7931 | 46,95,1 7932 | 46,96,1 7933 | 46,98,1 7934 | 46,99,1 7935 | 46,101,1 7936 | 46,107,1 7937 | 46,109,1 7938 | 46,116,1 7939 | 46,118,0 7940 | 46,128,1 7941 | 46,133,1 7942 | 46,138,1 7943 | 46,139,1 7944 | 46,141,0 7945 | 46,159,0 7946 | 46,160,1 7947 | 46,161,0 7948 | 46,163,1 7949 | 46,164,1 7950 | 46,165,0 7951 | 46,166,1 7952 | 46,167,0 7953 | 46,180,1 7954 | 46,184,1 7955 | 46,204,0 7956 | 46,209,0 7957 | 46,214,1 7958 | 46,216,0 7959 | 46,217,0 7960 | 46,221,1 7961 | 46,222,1 7962 | 46,224,0 7963 | 46,225,0 7964 | 46,227,0 7965 | 46,228,0 7966 | 46,240,1 7967 | 46,256,1 7968 | 46,276,1 7969 | 46,278,1 7970 | 46,279,1 7971 | 46,280,1 7972 | 46,299,1 7973 | 46,323,0 7974 | 46,326,1 7975 | 46,328,1 7976 | 46,346,1 7977 | 46,350,1 7978 | 46,364,1 7979 | 46,403,1 7980 | 46,414,1 7981 | 46,445,1 7982 | 46,446,1 7983 | 46,450,1 7984 | 46,451,0 7985 | 46,453,1 7986 | 46,486,1 7987 | 46,487,1 7988 | 46,495,1 7989 | 46,499,0 7990 | 46,502,1 7991 | 46,508,1 7992 | 46,516,1 7993 | 46,532,0 7994 | 46,536,1 7995 | 46,538,1 7996 | 46,546,1 7997 | 46,550,0 7998 | 46,551,1 7999 | 46,554,1 8000 | 46,555,0 8001 | 46,561,0 8002 | 46,573,1 8003 | 46,574,1 8004 | 46,575,0 8005 | 46,576,1 8006 | 46,577,0 8007 | 46,580,0 8008 | 46,581,0 8009 | 46,582,1 8010 | 46,583,0 8011 | 46,586,1 8012 | 46,593,1 8013 | 46,610,1 8014 | 46,611,1 8015 | 46,612,1 8016 | 46,623,1 8017 | 46,632,0 8018 | 46,635,1 8019 | 46,637,1 8020 | 46,645,1 8021 | 46,646,0 8022 | 46,649,1 8023 | 46,653,1 8024 | 46,658,1 8025 | 46,668,1 8026 | 46,669,1 8027 | 46,675,1 8028 | 46,683,1 8029 | 46,684,0 8030 | 46,685,1 8031 | 46,688,1 8032 | 46,696,1 8033 | 46,705,0 8034 | 46,706,1 8035 | 46,707,1 8036 | 46,721,1 8037 | 46,725,0 8038 | 46,727,1 8039 | 46,728,1 8040 | 46,729,1 8041 | 46,733,1 8042 | 46,736,1 8043 | 46,740,1 8044 | 46,744,1 8045 | 46,745,1 8046 | 46,746,1 8047 | 46,747,1 8048 | 46,750,0 8049 | 46,751,0 8050 | 46,759,0 8051 | 46,761,1 8052 | 46,763,1 8053 | 46,775,1 8054 | 46,777,0 8055 | 46,791,0 8056 | 46,802,0 8057 | 46,813,1 8058 | 46,815,1 8059 | 46,820,1 8060 | 46,824,1 8061 | 46,825,0 8062 | 46,827,0 8063 | 46,834,0 8064 | 46,839,1 8065 | 46,841,0 8066 | 46,844,1 8067 | 46,849,0 8068 | 46,851,0 8069 | 46,852,0 8070 | 46,857,1 8071 | 46,859,1 8072 | 46,860,1 8073 | 46,861,0 8074 | 46,863,1 8075 | 46,865,1 8076 | 46,870,1 8077 | 46,871,1 8078 | 46,872,1 8079 | 46,873,1 8080 | 46,878,1 8081 | 46,879,0 8082 | 46,881,1 8083 | 46,882,1 8084 | 46,890,0 8085 | 46,892,0 8086 | 46,898,1 8087 | -------------------------------------------------------------------------------- /datasets/data_prep.py: -------------------------------------------------------------------------------- 1 | import random 2 | import pandas as pd 3 | from collections import defaultdict 4 | 5 | 6 | class DataPrep(object): 7 | """ Data Preprocessor for adaptive testing 8 | A collection of static util methods to process datasets 9 | """ 10 | 11 | @staticmethod 12 | def deduplicate_data(data, policy): 13 | """ 14 | 15 | Args: 16 | data: pandas DataFrame containing at least 'student_id', 'question_id', 'correct' 17 | policy: str in ('keep_first', 'keep_last', 'average') 18 | 19 | Returns: 20 | deduplicated data: pandas DataFrame 21 | """ 22 | # TODO 23 | raise NotImplementedError 24 | 25 | @staticmethod 26 | def parse_data(data): 27 | """ 28 | 29 | Args: 30 | data: list of triplets (sid, qid, score) 31 | 32 | Returns: 33 | student based datasets: defaultdict {sid: {qid: score}} 34 | question based datasets: defaultdict {qid: {sid: score}} 35 | """ 36 | stu_data = defaultdict(lambda: defaultdict(dict)) 37 | ques_data = defaultdict(lambda: defaultdict(dict)) 38 | for sid, qid, correct in data: 39 | stu_data[sid][qid] = correct 40 | ques_data[qid][sid] = correct 41 | return stu_data, ques_data 42 | 43 | @staticmethod 44 | def prep_data(data, **kwargs): 45 | """ 46 | 47 | Args: 48 | data: list of triplets (sid, qid, score) 49 | 50 | Returns: 51 | processed datasets: list of triplets (sid, qid, score) 52 | """ 53 | # TODO 54 | raise NotImplementedError 55 | 56 | @staticmethod 57 | def split_data_by_student(data, test_size=0.2, least_test_length=None): 58 | """ 59 | 60 | Args: 61 | data: list of triplets (sid, qid, score) 62 | test_size: float or int, indicating the size of the test datasets 63 | least_test_length: int > 0, the least number of questions required 64 | 65 | Returns: 66 | train_data: list of triplets (sid, qid, score) 67 | test_data: list of triplets (sid, qid, score) 68 | """ 69 | stu_data, ques_data = DataPrep.parse_data(data) 70 | n_students = len(stu_data) 71 | if isinstance(test_size, float): 72 | test_size = int(n_students * test_size) 73 | train_size = n_students - test_size 74 | assert(train_size > 0 and test_size > 0) 75 | students = list(range(n_students)) 76 | random.shuffle(students) 77 | if least_test_length is not None: 78 | student_lens = defaultdict(int) 79 | for t in data: 80 | student_lens[t[0]] += 1 81 | students = [student for student in students 82 | if student_lens[student] >= least_test_length] 83 | test_students = set(students[:test_size]) 84 | train_data = [record for record in data if record[0] not in test_students] 85 | test_data = [record for record in data if record[0] in test_students] 86 | train_data = DataPrep.renumber_student_id(train_data) 87 | test_data = DataPrep.renumber_student_id(test_data) 88 | return train_data, test_data 89 | 90 | @staticmethod 91 | def save_to_csv(data, path): 92 | """ 93 | 94 | Args: 95 | data: list of triplets (sid, qid, correct) 96 | path: str representing saving path 97 | """ 98 | pd.DataFrame.from_records(sorted(data), columns=['student_id', 'question_id', 'correct']).to_csv(path, index=False) 99 | 100 | @staticmethod 101 | def renumber_student_id(data): 102 | """ 103 | 104 | Args: 105 | data: list of triplets (sid, qid, score) 106 | 107 | Returns: 108 | renumbered datasets: list of triplets (sid, qid, score) 109 | """ 110 | student_ids = sorted(set(t[0] for t in data)) 111 | renumber_map = {sid: i for i, sid in enumerate(student_ids)} 112 | data = [(renumber_map[t[0]], t[1], t[2]) for t in data] 113 | return data 114 | -------------------------------------------------------------------------------- /models/irt/checkpoint.pt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bigdata-ustc/MAAT/55226e29a5948dda766137935f532c687a05c231/models/irt/checkpoint.pt -------------------------------------------------------------------------------- /models/ncd/checkpoint.pt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bigdata-ustc/MAAT/55226e29a5948dda766137935f532c687a05c231/models/ncd/checkpoint.pt -------------------------------------------------------------------------------- /pyat/__init__.py: -------------------------------------------------------------------------------- 1 | from .model import NCDModel, IRTModel 2 | from .strategy import RandomStrategy, ExpectedModelChangeStrategy, MAATStrategy 3 | from .driver import AdapTestDriver 4 | from .utils.data import AdapTestDataset, TrainDataset 5 | -------------------------------------------------------------------------------- /pyat/driver.py: -------------------------------------------------------------------------------- 1 | import logging 2 | from .utils.data import AdapTestDataset 3 | from tensorboardX import SummaryWriter 4 | 5 | 6 | class AdapTestDriver(object): 7 | 8 | @staticmethod 9 | def run(model, strategy, adaptest_data, 10 | test_length, log_dir): 11 | writer = SummaryWriter(log_dir) 12 | 13 | logging.info(f'start adaptive testing with {strategy.name} strategy') 14 | 15 | logging.info(f'Iteration 0') 16 | # evaluate models 17 | results = model.adaptest_evaluate(adaptest_data) 18 | # log results 19 | for name, value in results.items(): 20 | logging.info(f'{name}:{value}') 21 | writer.add_scalars(name, {strategy.name: value}, 0) 22 | 23 | for it in range(1, test_length + 1): 24 | logging.info(f'Iteration {it}') 25 | # select question 26 | selected_questions = strategy.adaptest_select(model, adaptest_data) 27 | for student, question in selected_questions.items(): 28 | adaptest_data.apply_selection(student, question) 29 | # update models 30 | model.adaptest_update(adaptest_data) 31 | # evaluate models 32 | results = model.adaptest_evaluate(adaptest_data) 33 | # log results 34 | for name, value in results.items(): 35 | logging.info(f'{name}:{value}') 36 | writer.add_scalars(name, {strategy.name: value}, it) 37 | -------------------------------------------------------------------------------- /pyat/model/__init__.py: -------------------------------------------------------------------------------- 1 | from .abstract_model import AbstractModel 2 | from .ncd_model import NCDModel 3 | from .irt_model import IRTModel 4 | # from .dkt_model import DKTModel 5 | -------------------------------------------------------------------------------- /pyat/model/abstract_model.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | from ..utils.data import TrainDataset, AdapTestDataset, _Dataset 3 | 4 | 5 | class AbstractModel(ABC): 6 | 7 | @property 8 | @abstractmethod 9 | def name(self): 10 | raise NotImplementedError 11 | 12 | @abstractmethod 13 | def adaptest_update(self, adaptest_data: AdapTestDataset): 14 | raise NotImplementedError 15 | 16 | @abstractmethod 17 | def adaptest_evaluate(self, adaptest_data: AdapTestDataset): 18 | raise NotImplementedError 19 | 20 | @abstractmethod 21 | def adaptest_init(self, data: _Dataset): 22 | raise NotImplementedError 23 | 24 | @abstractmethod 25 | def adaptest_train(self, train_data: TrainDataset): 26 | raise NotImplementedError 27 | 28 | @abstractmethod 29 | def adaptest_save(self, path): 30 | raise NotImplementedError 31 | 32 | @abstractmethod 33 | def adaptest_preload(self, path): 34 | raise NotImplementedError -------------------------------------------------------------------------------- /pyat/model/irt_model.py: -------------------------------------------------------------------------------- 1 | import os 2 | import time 3 | import copy 4 | import logging 5 | import torch 6 | import torch.nn as nn 7 | import numpy as np 8 | import torch.utils.data as data 9 | from sklearn.metrics import mean_squared_error, r2_score, roc_auc_score 10 | 11 | from .abstract_model import AbstractModel 12 | from ..utils import make_hot_vector 13 | from ..utils.data import AdapTestDataset, TrainDataset, _Dataset 14 | 15 | 16 | class IRT(nn.Module): 17 | def __init__(self, num_students, num_questions, num_dim): 18 | super().__init__() 19 | self.num_dim = num_dim 20 | self.num_students = num_students 21 | self.num_questions = num_questions 22 | self.theta = nn.Embedding(self.num_students, self.num_dim) 23 | self.alpha = nn.Embedding(self.num_questions, self.num_dim) 24 | self.beta = nn.Embedding(self.num_questions, 1) 25 | 26 | for name, param in self.named_parameters(): 27 | if 'weight' in name: 28 | nn.init.xavier_normal_(param) 29 | 30 | def forward(self, student_ids, question_ids): 31 | theta = self.theta(student_ids) 32 | alpha = self.alpha(question_ids) 33 | beta = self.beta(question_ids) 34 | pred = (alpha * theta).sum(dim=1, keepdim=True) + beta 35 | pred = torch.sigmoid(pred) 36 | return pred 37 | 38 | def get_knowledge_status(self, stu_ids): 39 | stu_emb = self.theta(stu_ids) 40 | return stu_emb.data 41 | 42 | 43 | class IRTModel(AbstractModel): 44 | 45 | def __init__(self, **config): 46 | super().__init__() 47 | self.config = config 48 | self.model = None # type: IRT 49 | 50 | @property 51 | def name(self): 52 | return 'Item Response Theory' 53 | 54 | def adaptest_init(self, data: _Dataset): 55 | self.model = IRT(data.num_students, data.num_questions, self.config['num_dim']) 56 | 57 | def adaptest_train(self, train_data: TrainDataset): 58 | lr = self.config['learning_rate'] 59 | bsz = self.config['batch_size'] 60 | epochs = self.config['num_epochs'] 61 | device = self.config['device'] 62 | logging.info('train on {}'.format(device)) 63 | 64 | self.model.to(device) 65 | train_loader = data.DataLoader(train_data, batch_size=bsz, shuffle=True) 66 | optimizer = torch.optim.Adam(self.model.parameters(), lr=lr) 67 | 68 | for ep in range(1, epochs + 1): 69 | running_loss = 0.0 70 | batch_count = 0 71 | log_batch = 1 72 | for student_ids, question_ids, correctness, _ in train_loader: 73 | optimizer.zero_grad() 74 | student_ids = student_ids.to(device) 75 | question_ids = question_ids.to(device) 76 | correctness = correctness.to(device).float() 77 | pred = self.model(student_ids, question_ids).view(-1) 78 | loss = self._loss_function(pred, correctness) 79 | loss.backward() 80 | optimizer.step() 81 | batch_count += 1 82 | running_loss += loss.item() 83 | if batch_count % log_batch == 0: 84 | print('Epoch [{}] Batch [{}]: loss={:.3f}'.format(ep, batch_count, running_loss / log_batch)) 85 | running_loss = 0.0 86 | 87 | def adaptest_save(self, path): 88 | model_dict = self.model.state_dict() 89 | model_dict = {k:v for k,v in model_dict.items() if 'alpha' in k or 'beta' in k} 90 | torch.save(model_dict, path) 91 | 92 | def adaptest_preload(self, path): 93 | self.model.load_state_dict(torch.load(path), strict=False) 94 | self.model.to(self.config['device']) 95 | 96 | def adaptest_update(self, adaptest_data: AdapTestDataset): 97 | 98 | lr = self.config['learning_rate'] 99 | bsz = self.config['batch_size'] 100 | epochs = self.config['num_epochs'] 101 | device = self.config['device'] 102 | optimizer = torch.optim.Adam(self.model.theta.parameters(), lr=lr) 103 | 104 | # for name, param in self.model.named_parameters(): 105 | # if 'theta' not in name: 106 | # param.requires_grad = False 107 | 108 | tested_dataset = adaptest_data.get_tested_dataset(last=True) 109 | dataloader = torch.utils.data.DataLoader(tested_dataset, batch_size=bsz, shuffle=True) 110 | 111 | for ep in range(1, epochs + 1): 112 | running_loss = 0.0 113 | batch_count = 0 114 | log_batch = 100 115 | for student_ids, question_ids, correctness, _ in dataloader: 116 | optimizer.zero_grad() 117 | student_ids = student_ids.to(device) 118 | question_ids = question_ids.to(device) 119 | correctness = correctness.to(device).float() 120 | pred = self.model(student_ids, question_ids).view(-1) 121 | loss = self._loss_function(pred, correctness) 122 | loss.backward() 123 | optimizer.step() 124 | batch_count += 1 125 | running_loss += loss.item() 126 | if batch_count % log_batch == 0: 127 | print('Epoch [{}] Batch [{}]: loss={:.3f}'.format(ep, batch_count, running_loss / log_batch)) 128 | running_loss = 0.0 129 | 130 | # for name, param in self.model.named_parameters(): 131 | # param.requires_grad = True 132 | 133 | def adaptest_evaluate(self, adaptest_data: AdapTestDataset): 134 | data = adaptest_data.data 135 | concept_map = adaptest_data.concept_map 136 | device = self.config['device'] 137 | 138 | real = [] 139 | pred = [] 140 | with torch.no_grad(): 141 | self.model.eval() 142 | for sid in data: 143 | student_ids = [sid] * len(data[sid]) 144 | question_ids = list(data[sid].keys()) 145 | student_ids = torch.LongTensor(student_ids).to(device) 146 | question_ids = torch.LongTensor(question_ids).to(device) 147 | output = self.model(student_ids, question_ids) 148 | output = output.view(-1) 149 | pred += output.tolist() 150 | real += [data[sid][qid] for qid in question_ids.cpu().numpy()] 151 | self.model.train() 152 | 153 | coverages = [] 154 | for sid in data: 155 | all_concepts = set() 156 | tested_concepts = set() 157 | for qid in data[sid]: 158 | all_concepts |= set(concept_map[qid]) 159 | for qid in adaptest_data.tested[sid]: 160 | tested_concepts |= set(concept_map[qid]) 161 | coverage = len(tested_concepts) / len(all_concepts) 162 | coverages.append(coverage) 163 | cov = sum(coverages) / len(coverages) 164 | 165 | real = np.array(real) 166 | pred = np.array(pred) 167 | auc = roc_auc_score(real, pred) 168 | 169 | return { 170 | 'auc': auc, 171 | 'cov': cov, 172 | } 173 | 174 | def expected_model_change(self, sid: int, qid: int, adaptest_data: AdapTestDataset): 175 | 176 | epochs = self.config['num_epochs'] 177 | lr = self.config['learning_rate'] 178 | device = self.config['device'] 179 | optimizer = torch.optim.Adam(self.model.parameters(), lr=lr) 180 | 181 | for name, param in self.model.named_parameters(): 182 | if 'theta' not in name: 183 | param.requires_grad = False 184 | 185 | original_weights = self.model.theta.weight.data.clone() 186 | 187 | student_id = torch.LongTensor([sid]).to(device) 188 | question_id = torch.LongTensor([qid]).to(device) 189 | correct = torch.LongTensor([1]).to(device).float() 190 | wrong = torch.LongTensor([0]).to(device).float() 191 | 192 | for ep in range(epochs): 193 | optimizer.zero_grad() 194 | pred = self.model(student_id, question_id) 195 | loss = self._loss_function(pred, correct) 196 | loss.backward() 197 | optimizer.step() 198 | 199 | pos_weights = self.model.theta.weight.data.clone() 200 | self.model.theta.weight.data.copy_(original_weights) 201 | 202 | for ep in range(epochs): 203 | optimizer.zero_grad() 204 | pred = self.model(student_id, question_id) 205 | loss = self._loss_function(pred, wrong) 206 | loss.backward() 207 | optimizer.step() 208 | 209 | neg_weights = self.model.theta.weight.data.clone() 210 | self.model.theta.weight.data.copy_(original_weights) 211 | 212 | for param in self.model.parameters(): 213 | param.requires_grad = True 214 | 215 | pred = self.model(student_id, question_id).item() 216 | return pred * torch.norm(pos_weights - original_weights).item() + \ 217 | (1 - pred) * torch.norm(neg_weights - original_weights).item() 218 | 219 | def _loss_function(self, pred, real): 220 | return -(real * torch.log(0.0001 + pred) + (1 - real) * torch.log(1.0001 - pred)).mean() 221 | 222 | def get_alpha(self, question_id): 223 | return self.model.alpha.weight.data.numpy()[question_id] 224 | 225 | def get_beta(self, question_id): 226 | return self.model.beta.weight.data.numpy()[question_id] 227 | 228 | def get_theta(self, student_id): 229 | return self.model.theta.weight.data.numpy()[student_id] 230 | -------------------------------------------------------------------------------- /pyat/strategy/__init__.py: -------------------------------------------------------------------------------- 1 | from .abstract_strategy import AbstractStrategy 2 | from .random_strategy import RandomStrategy 3 | from .expected_model_change_strategy import ExpectedModelChangeStrategy 4 | from .maat_strategy import MAATStrategy -------------------------------------------------------------------------------- /pyat/strategy/abstract_strategy.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | 3 | 4 | class AbstractStrategy(ABC): 5 | 6 | @property 7 | @abstractmethod 8 | def name(self): 9 | """ the name of the strategy 10 | 11 | Returns: 12 | name: str 13 | """ 14 | raise NotImplementedError 15 | 16 | @abstractmethod 17 | def adaptest_select(self, model, adaptest_data): 18 | """ 19 | 20 | Args: 21 | model: AbstractModel 22 | adaptest_data: AdapTestDataset 23 | 24 | Returns: 25 | selected_questions: dict, {student_idx: question_idx} 26 | """ 27 | raise NotImplementedError 28 | -------------------------------------------------------------------------------- /pyat/strategy/maat_strategy.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | from ..strategy.abstract_strategy import AbstractStrategy 3 | from ..model import AbstractModel 4 | from ..utils.data import AdapTestDataset 5 | 6 | 7 | 8 | class MAATStrategy(AbstractStrategy): 9 | 10 | def __init__(self, n_candidates=10): 11 | super().__init__() 12 | self.n_candidates = n_candidates 13 | 14 | @property 15 | def name(self): 16 | return 'Model Agnostic Adaptive Testing' 17 | 18 | def _compute_coverage_gain(self, sid, qid, adaptest_data: AdapTestDataset): 19 | concept_cnt = {} 20 | for q in adaptest_data.data[sid]: 21 | for c in adaptest_data.concept_map[q]: 22 | concept_cnt[c] = 0 23 | for q in list(adaptest_data.tested[sid]) + [qid]: 24 | for c in adaptest_data.concept_map[q]: 25 | concept_cnt[c] += 1 26 | return (sum(cnt / (cnt + 1) for c, cnt in concept_cnt.items()) 27 | / sum(1 for c in concept_cnt)) 28 | 29 | def adaptest_select(self, model: AbstractModel, adaptest_data: AdapTestDataset): 30 | assert hasattr(model, 'expected_model_change'), \ 31 | 'the models must implement expected_model_change method' 32 | selection = {} 33 | for sid in range(adaptest_data.num_students): 34 | untested_questions = np.array(list(adaptest_data.untested[sid])) 35 | emc_arr = [getattr(model, 'expected_model_change')(sid, qid, adaptest_data) 36 | for qid in untested_questions] 37 | candidates = untested_questions[np.argsort(emc_arr)[::-1][:self.n_candidates]] 38 | selection[sid] = max(candidates, key=lambda qid: self._compute_coverage_gain(sid, qid, adaptest_data)) 39 | return selection 40 | -------------------------------------------------------------------------------- /pyat/utils/__init__.py: -------------------------------------------------------------------------------- 1 | from ._utils import * -------------------------------------------------------------------------------- /pyat/utils/_utils.py: -------------------------------------------------------------------------------- 1 | def make_hot_vector(indices, num_dim): 2 | """ 3 | 4 | Args: 5 | indices: list of indices indicating 1s 6 | num_dim: total length of the vector 7 | 8 | Returns: 9 | v: list representing hot vector 10 | """ 11 | 12 | v = [0] * num_dim 13 | for i in indices: 14 | v[i] = 1 15 | return v 16 | -------------------------------------------------------------------------------- /pyat/utils/data/__init__.py: -------------------------------------------------------------------------------- 1 | from .adaptest_dataset import AdapTestDataset 2 | from .train_dataset import TrainDataset 3 | from ._dataset import _Dataset 4 | -------------------------------------------------------------------------------- /pyat/utils/data/_dataset.py: -------------------------------------------------------------------------------- 1 | from collections import defaultdict, deque 2 | 3 | 4 | class _Dataset(object): 5 | 6 | def __init__(self, data, concept_map, 7 | num_students, num_questions, num_concepts): 8 | """ 9 | 10 | Args: 11 | data: list, [(sid, qid, score)] 12 | concept_map: dict, concept map {qid: cid} 13 | num_students: int, total student number 14 | num_questions: int, total question number 15 | num_concepts: int, total concept number 16 | 17 | Requirements: 18 | ids of students, questions, concepts all renumbered 19 | """ 20 | self._raw_data = data 21 | self._concept_map = concept_map 22 | # reorganize datasets 23 | self._data = {} 24 | for sid, qid, correct in data: 25 | self._data.setdefault(sid, {}) 26 | self._data[sid].setdefault(qid, {}) 27 | self._data[sid][qid] = correct 28 | 29 | self.n_students = num_students 30 | self.n_questions = num_questions 31 | self.n_concepts = num_concepts 32 | student_ids = set(x[0] for x in data) 33 | question_ids = set(x[1] for x in data) 34 | concept_ids = set(sum(concept_map.values(), [])) 35 | assert max(student_ids) < num_students, \ 36 | 'Require student ids renumbered' 37 | assert max(question_ids) < num_questions, \ 38 | 'Require student ids renumbered' 39 | assert max(concept_ids) < num_concepts, \ 40 | 'Require student ids renumbered' 41 | 42 | @property 43 | def num_students(self): 44 | return self.n_students 45 | 46 | @property 47 | def num_questions(self): 48 | return self.n_questions 49 | 50 | @property 51 | def num_concepts(self): 52 | return self.n_concepts 53 | 54 | @property 55 | def raw_data(self): 56 | return self._raw_data 57 | 58 | @property 59 | def data(self): 60 | return self._data 61 | 62 | @property 63 | def concept_map(self): 64 | return self._concept_map 65 | -------------------------------------------------------------------------------- /pyat/utils/data/adaptest_dataset.py: -------------------------------------------------------------------------------- 1 | from collections import defaultdict, deque 2 | 3 | import torch 4 | 5 | from ._dataset import _Dataset 6 | from .train_dataset import TrainDataset 7 | 8 | 9 | class AdapTestDataset(_Dataset): 10 | 11 | def __init__(self, data, concept_map, 12 | num_students, num_questions, num_concepts): 13 | """ 14 | 15 | Args: 16 | data: list, [(sid, qid, score)] 17 | concept_map: dict, concept map {qid: cid} 18 | num_students: int, total student number 19 | num_questions: int, total question number 20 | num_concepts: int, total concept number 21 | 22 | Requirements: 23 | ids of students, questions, concepts all renumbered 24 | """ 25 | super().__init__(data, concept_map, 26 | num_students, num_questions, num_concepts) 27 | 28 | # initialize tested and untested set 29 | self._tested = None 30 | self._untested = None 31 | self.reset() 32 | 33 | def apply_selection(self, student_idx, question_idx): 34 | """ Add one untested question to the tested set 35 | 36 | Args: 37 | student_idx: int 38 | question_idx: int 39 | 40 | Returns: 41 | 42 | """ 43 | assert question_idx in self._untested[student_idx], \ 44 | 'Selected question not allowed' 45 | self._untested[student_idx].remove(question_idx) 46 | self._tested[student_idx].append(question_idx) 47 | 48 | def reset(self): 49 | self._tested = defaultdict(deque) 50 | self._untested = defaultdict(set) 51 | for sid in self._data: 52 | self._untested[sid] = set(self._data[sid].keys()) 53 | 54 | @property 55 | def tested(self): 56 | return self._tested 57 | 58 | @property 59 | def untested(self): 60 | return self._untested 61 | 62 | def get_tested_dataset(self, last=False): 63 | triplets = [] 64 | for sid, qids in self._tested.items(): 65 | if last: 66 | qid = qids[-1] 67 | triplets.append((sid, qid, self.data[sid][qid])) 68 | else: 69 | for qid in qids: 70 | triplets.append((sid, qid, self.data[sid][qid])) 71 | return TrainDataset(triplets, self.concept_map, 72 | self.num_students, self.num_questions, self.num_concepts) 73 | -------------------------------------------------------------------------------- /pyat/utils/data/train_dataset.py: -------------------------------------------------------------------------------- 1 | from torch.utils import data 2 | from ._dataset import _Dataset 3 | 4 | 5 | class TrainDataset(_Dataset, data.dataset.Dataset): 6 | 7 | def __init__(self, data, concept_map, 8 | num_students, num_questions, num_concepts): 9 | """ 10 | 11 | Args: 12 | data: list, [(sid, qid, score)] 13 | concept_map: dict, concept map {qid: cid} 14 | num_students: int, total student number 15 | num_questions: int, total question number 16 | num_concepts: int, total concept number 17 | 18 | Requirements: 19 | ids of students, questions, concepts all renumbered 20 | """ 21 | super().__init__(data, concept_map, 22 | num_students, num_questions, num_concepts) 23 | 24 | def __getitem__(self, item): 25 | sid, qid, score = self._raw_data[item] 26 | concepts = self.concept_map[qid] 27 | return sid, qid, score, concepts 28 | 29 | def __len__(self): 30 | return len(self._raw_data) 31 | -------------------------------------------------------------------------------- /scripts/test.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import json 3 | import datetime 4 | import logging 5 | 6 | import torch 7 | import numpy as np 8 | import pandas as pd 9 | 10 | sys.path.append('..') 11 | import pyat 12 | 13 | seed = 0 14 | np.random.seed(seed) 15 | torch.manual_seed(seed) 16 | 17 | dataset = 'assistment' 18 | # read datasets 19 | test_triplets = pd.read_csv(f'../datasets/{dataset}/test_triplets.csv', encoding='utf-8').to_records(index=False) 20 | concept_map = json.load(open(f'../datasets/{dataset}/concept_map.json', 'r')) 21 | concept_map = {int(k):v for k,v in concept_map.items()} 22 | metadata = json.load(open(f'../datasets/{dataset}/metadata.json', 'r')) 23 | 24 | test_data = pyat.AdapTestDataset(test_triplets, concept_map, 25 | metadata['num_test_students'], metadata['num_questions'], metadata['num_concepts']) 26 | 27 | config = { 28 | 'learning_rate': 0.0025, 29 | 'batch_size': 2048, 30 | 'num_epochs': 8, 31 | 'num_dim': 1, 32 | 'device': 'cpu', 33 | } 34 | 35 | logging.basicConfig( 36 | level=logging.INFO, 37 | datefmt='%Y-%m-%d %H:%M:%S', 38 | format='[%(asctime)s %(levelname)s] %(message)s', 39 | ) 40 | 41 | test_length = 50 42 | now = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') 43 | 44 | strategies = (pyat.RandomStrategy(), pyat.MAATStrategy(n_candidates=10), ) 45 | 46 | for strategy in strategies: 47 | model = pyat.IRTModel(**config) 48 | model.adaptest_init(test_data) 49 | model.adaptest_preload('../models/irt/checkpoint.pt') 50 | test_data.reset() 51 | pyat.AdapTestDriver.run(model, strategy, test_data, test_length, f'../results/{now}') 52 | -------------------------------------------------------------------------------- /scripts/train.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import json 3 | import logging 4 | import numpy as np 5 | import pandas as pd 6 | 7 | sys.path.append('..') 8 | import pyat 9 | 10 | dataset = 'assistment' 11 | 12 | # read datasets 13 | train_triplets = pd.read_csv(f'../datasets/{dataset}/train_triplets.csv', encoding='utf-8').to_records(index=False) 14 | concept_map = json.load(open(f'../datasets/{dataset}/concept_map.json', 'r')) 15 | concept_map = {int(k):v for k,v in concept_map.items()} 16 | metadata = json.load(open(f'../datasets/{dataset}/metadata.json', 'r')) 17 | 18 | # construct 19 | train_data = pyat.TrainDataset(train_triplets, concept_map, 20 | metadata['num_train_students'], metadata['num_questions'], metadata['num_concepts']) 21 | 22 | config = { 23 | 'learning_rate': 0.002, 24 | 'batch_size': 2048, 25 | 'num_epochs': 100, 26 | 'num_dim': 1, 27 | 'device': 'cpu', 28 | } 29 | 30 | logging.basicConfig( 31 | level=logging.INFO, 32 | datefmt='%Y-%m-%d %H:%M:%S', 33 | format='[%(asctime)s %(levelname)s] %(message)s', 34 | ) 35 | 36 | model = pyat.IRTModel(**config) 37 | model.adaptest_init(train_data) 38 | model.adaptest_train(train_data) 39 | model.adaptest_save('../models/irt/checkpoint.pt') 40 | --------------------------------------------------------------------------------