I am trying to randomly select n samples from a graph. In order to do so I create a list called X using the random.sample function like the following:
X= random.sample(range(graph.ecount()), numPosSamples)
The problem is that when numPosSamples is equal to graph.ecount() I receive the following error:
ValueError: Sample larger than population
Any help will be much appreciated. Thanks
asked Apr 20, 2015 at 23:44
You can add some logic that detects if your list if shorter than the number of samples you want.
For example:
a = list(range(10))
num_samples = 20
sample(a, num_samples if len(a) > num_samples else len(a))
answered Jun 15, 2015 at 12:58
1
I’m not sure how numPosSamples is getting its value, but because random.sample does sampling without replacement, what is probably happening here is that numPosSamples is greater than the number of edges in your graph. As a result, Python raises the ValueError that you are seeing.
Either reduce the number of samples to less than the number of edges, or use a method of sampling that allows for sampling with replacement, such as a list comprehension with random.choice.
answered Apr 21, 2015 at 0:13
Zachary CrossZachary Cross
2,2881 gold badge15 silver badges22 bronze badges
1
Hi,
I have a small dataset that I am trying to augment. For some of the questions, I am getting the following error:
ValueError Traceback (most recent call last)
<ipython-input-337-336aea02b7a2> in <module>
2 print(len(text))
3 aug = naw.BertAug(action="insert")
----> 4 augmented_text = aug.augment(text)
5 print("Original:")
6 print(text)
~/anaconda3/lib/python3.7/site-packages/nlpaug/base_augmenter.py in augment(self, data)
69
70 if self.action == Action.INSERT:
---> 71 return self.insert(data)
72 elif self.action == Action.SUBSTITUTE:
73 return self.substitute(data)
~/anaconda3/lib/python3.7/site-packages/nlpaug/augmenter/word/bert.py in insert(self, data)
85 for aug_idx in aug_idxes:
86 results.insert(aug_idx, nml.Bert.MASK)
---> 87 new_word = self.sample(self.model.predict(results, nml.Bert.MASK, self.aug_n), 1)[0]
88 results[aug_idx] = new_word
89
~/anaconda3/lib/python3.7/site-packages/nlpaug/base_augmenter.py in sample(cls, x, num)
109 @classmethod
110 def sample(cls, x, num):
--> 111 return random.sample(x, num)
112
113 def generate_aug_cnt(self, size, aug_p=None):
~/anaconda3/lib/python3.7/random.py in sample(self, population, k)
319 n = len(population)
320 if not 0 <= k <= n:
--> 321 raise ValueError("Sample larger than population or is negative")
322 result = [None] * k
323 setsize = 21 # size of a small set minus size of an empty list
ValueError: Sample larger than population or is negative
After some research, I came across this https://stackoverflow.com/questions/20861497/sample-larger-than-population-in-random-sample-python
but I am still not sure what exactly the issue is. It works sometimes but other times it returns this error. Is it something to do with my questions? Is there a specific format I need to follow for the questions?
Any help would be much appreciated.
Вы ищете random.shuffle? Это даст вам каждый элемент диапазона ровно один раз, в случайном порядке:
>>> import random
>>> l = list(range(1000,2000))
>>> random.shuffle(l)
>>> l
[1096, 1434, 1564, 1503, 1213, 1484, 1340, 1729, 1262, 1663, 1684, 1609, 1464, 1902, 1302, 1767, 1860, 1733, 1009, 1735, 1445, 1429, 1448, 1665, 1551, 1426, 1755, 1790, 1108, 1891, 1121, 1325, 1600, 1230, 1315, 1191, 1243, 1074, 1107, 1865, 1179, 1198, 1169, 1830, 1798, 1727, 1147, 1890, 1092, 1451, 1048, 1638, 1598, 1888, 1807, 1324, 1682, 1589, 1884, 1433, 1130, 1348, 1662, 1215, 1444, 1387, 1897, 1758, 1043, 1372, 1155, 1032, 1487, 1509, 1806, 1602, 1093, 1220, 1772, 1531, 1804, 1746, 1292, 1694, 1556, 1517, 1943, 1582, 1547, 1989, 1966, 1915, 1833, 1276, 1988, 1887, 1320, 1339, 1605, 1951, 1040, 1327, 1336, 1128, 1757, 1538, 1131, 1116, 1142, 1960, 1250, 1307, 1595, 1139, 1576, 1059, 1627, 1633, 1639, 1438, 1252, 1584, 1090, 1272, 1353, 1683, 1163, 1773, 1004, 1658, 1174, 1617, 1516, 1008, 1707, 1083, 1094, 1987, 1628, 1437, 1095, 1763, 1159, 1976, 1267, 1916, 1311, 1091, 1498, 1623, 1029, 1532, 1175, 1458, 1256, 1439, 1452, 1018, 1706, 1205, 1546, 1047, 1103, 1922, 1977, 1895, 1972, 1586, 1447, 1383, 1687, 1822, 1796, 1769, 1664, 1859, 1699, 1322, 1672, 1390, 1360, 1435, 1995, 1753, 1469, 1309, 1208, 1747, 1999, 1791, 1061, 1572, 1245, 1965, 1760, 1601, 1852, 1853, 1913, 1072, 1528, 1530, 1782, 1958, 1342, 1105, 1453, 1416, 1185, 1737, 1015, 1244, 1800, 1366, 1739, 1373, 1533, 1505, 1964, 1996, 1731, 1622, 1742, 1847, 1720, 1263, 1568, 1971, 1667, 1591, 1545, 1953, 1686, 1112, 1935, 1461, 1436, 1894, 1920, 1391, 1673, 1650, 1482, 1197, 1314, 1613, 1479, 1527, 1352, 1186, 1467, 1834, 1948, 1878, 1011, 1911, 1087, 1264, 1333, 1323, 1776, 1266, 1907, 1178, 1284, 1580, 1697, 1857, 1050, 1548, 1974, 1869, 1358, 1190, 1679, 1411, 1539, 1033, 1073, 1308, 1693, 1986, 1165, 1925, 1485, 1085, 1579, 1021, 1055, 1762, 1456, 1088, 1480, 1318, 1357, 1862, 1736, 1752, 1992, 1793, 1006, 1492, 1670, 1392, 1819, 1478, 1481, 1488, 1968, 1583, 1377, 1431, 1880, 1258, 1581, 1007, 1929, 1512, 1775, 1783, 1418, 1511, 1259, 1631, 1328, 1770, 1189, 1963, 1651, 1523, 1829, 1054, 1629, 1596, 1825, 1052, 1768, 1814, 1874, 1843, 1759, 1066, 1151, 1671, 1064, 1780, 1347, 1138, 1794, 1883, 1647, 1867, 1820, 1402, 1973, 1278, 1471, 1653, 1058, 1680, 1975, 1850, 1678, 1304, 1774, 1026, 1691, 1802, 1698, 1146, 1065, 1268, 1111, 1351, 1202, 1045, 1168, 1717, 1677, 1039, 1980, 1502, 1882, 1081, 1407, 1288, 1397, 1848, 1188, 1840, 1721, 1723, 1514, 1158, 1218, 1898, 1616, 1184, 1961, 1424, 1298, 1858, 1955, 1115, 1560, 1506, 1160, 1849, 1356, 1271, 1640, 1636, 1350, 1908, 1473, 1338, 1044, 1474, 1419, 1518, 1370, 1618, 1194, 1614, 1078, 1305, 1513, 1801, 1341, 1313, 1280, 1013, 1702, 1625, 1421, 1070, 1923, 1928, 1257, 1554, 1912, 1173, 1504, 1209, 1612, 1765, 1031, 1216, 1084, 1641, 1566, 1905, 1071, 1959, 1881, 1389, 1486, 1369, 1779, 1983, 1134, 1157, 1713, 1167, 1354, 1799, 1001, 1688, 1388, 1207, 1030, 1846, 1143, 1104, 1180, 1154, 1690, 1060, 1228, 1468, 1681, 1097, 1931, 1120, 1101, 1002, 1877, 1635, 1938, 1604, 1590, 1379, 1795, 1398, 1868, 1126, 1201, 1152, 1851, 1620, 1899, 1854, 1892, 1106, 1203, 1156, 1214, 1703, 1425, 1269, 1226, 1812, 1549, 1766, 1422, 1316, 1740, 1573, 1321, 1606, 1692, 1875, 1056, 1477, 1709, 1632, 1611, 1381, 1297, 1542, 1967, 1708, 1124, 1936, 1051, 1384, 1440, 1196, 1969, 1615, 1689, 1571, 1940, 1685, 1277, 1335, 1326, 1077, 1654, 1193, 1751, 1069, 1212, 1299, 1310, 1508, 1399, 1529, 1954, 1408, 1042, 1561, 1211, 1119, 1587, 1086, 1855, 1466, 1067, 1192, 1441, 1918, 1507, 1624, 1607, 1553, 1217, 1362, 1592, 1206, 1900, 1608, 1450, 1273, 1150, 1823, 1396, 1337, 1349, 1265, 1187, 1306, 1909, 1500, 1652, 1172, 1749, 1057, 1866, 1099, 1003, 1079, 1552, 1363, 1385, 1861, 1863, 1567, 1455, 1594, 1831, 1603, 1784, 1956, 1319, 1557, 1223, 1359, 1842, 1962, 1378, 1153, 1979, 1950, 1491, 1826, 1063, 1177, 1725, 1933, 1738, 1838, 1233, 1599, 1927, 1788, 1080, 1301, 1137, 1132, 1409, 1024, 1110, 1835, 1014, 1993, 1845, 1290, 1470, 1162, 1199, 1183, 1239, 1465, 1715, 1985, 1332, 1569, 1903, 1365, 1423, 1889, 1412, 1176, 1432, 1734, 1803, 1016, 1181, 1118, 1254, 1075, 1114, 1161, 1037, 1871, 1593, 1270, 1495, 1982, 1082, 1401, 1659, 1970, 1261, 1939, 1229, 1496, 1914, 1832, 1519, 1919, 1166, 1816, 1646, 1904, 1312, 1113, 1540, 1375, 1577, 1634, 1330, 1946, 1565, 1382, 1695, 1253, 1499, 1520, 1716, 1544, 1543, 1287, 1619, 1371, 1710, 1027, 1655, 1750, 1610, 1443, 1034, 1260, 1334, 1778, 1525, 1403, 1219, 1246, 1836, 1428, 1756, 1522, 1235, 1010, 1675, 1578, 1873, 1251, 1570, 1952, 1023, 1462, 1515, 1761, 1805, 1744, 1626, 1701, 1020, 1764, 1901, 1637, 1117, 1394, 1413, 1000, 1649, 1906, 1242, 1674, 1490, 1395, 1049, 1355, 1344, 1917, 1076, 1787, 1574, 1041, 1127, 1910, 1893, 1415, 1476, 1771, 1555, 1102, 1317, 1283, 1998, 1558, 1343, 1732, 1232, 1406, 1785, 1997, 1668, 1144, 1661, 1122, 1164, 1248, 1291, 1149, 1811, 1224, 1380, 1300, 1949, 1125, 1719, 1286, 1711, 1984, 1296, 1068, 1129, 1841, 1588, 1856, 1182, 1676, 1879, 1274, 1240, 1896, 1459, 1449, 1712, 1430, 1501, 1019, 1483, 1140, 1981, 1510, 1648, 1696, 1225, 1025, 1524, 1754, 1417, 1808, 1642, 1247, 1741, 1704, 1046, 1241, 1926, 1038, 1255, 1944, 1295, 1537, 1028, 1657, 1700, 1289, 1942, 1100, 1827, 1279, 1427, 1135, 1062, 1563, 1281, 1446, 1886, 1494, 1285, 1195, 1885, 1828, 1728, 1934, 1990, 1726, 1924, 1526, 1303, 1222, 1669, 1809, 1786, 1978, 1921, 1777, 1536, 1275, 1405, 1813, 1364, 1991, 1136, 1237, 1714, 1035, 1098, 1597, 1238, 1475, 1022, 1249, 1666, 1463, 1493, 1123, 1472, 1234, 1109, 1170, 1345, 1781, 1145, 1724, 1393, 1656, 1722, 1839, 1621, 1200, 1660, 1957, 1870, 1442, 1945, 1941, 1748, 1386, 1585, 1171, 1133, 1005, 1535, 1346, 1017, 1745, 1797, 1329, 1792, 1404, 1630, 1293, 1872, 1930, 1367, 1227, 1815, 1294, 1844, 1454, 1204, 1460, 1994, 1368, 1410, 1550, 1148, 1562, 1236, 1810, 1374, 1575, 1282, 1331, 1743, 1821, 1818, 1876, 1414, 1947, 1141, 1645, 1089, 1817, 1705, 1012, 1541, 1824, 1420, 1361, 1231, 1489, 1053, 1534, 1837, 1643, 1400, 1730, 1644, 1937, 1210, 1864, 1376, 1036, 1457, 1497, 1718, 1221, 1521, 1559, 1789, 1932]
3
Eric Duminil
5 Май 2017 в 08:54
I have wrote a code to get a group of persons randomly. The aim is that when one person is already choose randomly, the program should remove him. I have use random.sample() function and it work well for n=1,2,3,4 when I reach 5, it give me an error and till now I am trying to understand what is happen behind this function. Any explanation and hint will be helful. Thanks!
import random
ma_list =["anne","aline","gros","eve","armand","yves","elv","allo","sonia","luc","marc","jules","kevin"]
#this will contain an occurence of our list
maListOc = ma_list
#this list will contain our random list
random_list = None
groupe = 1
#for each element in ma_list, we randome and put into our variable
for i in ma_list:
random_list = random.sample(ma_list, 5)
#then we remove data already randomize in our list, but the complexity is high for this little program
for element in random_list:
ma_list.remove(element)
print("Goupe N°:",groupe)
#and we finally print our randomized list
print(random_list)
print("______________________________")
groupe += 1
print(maListOc)
here is the Output:
Goupe N°: 1
['aline', 'gros', 'armand', 'sonia', 'anne']
______________________________
Goupe N°: 2
['kevin', 'allo', 'eve', 'elv', 'marc']
______________________________
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-29-c2d13d61c8d1> in <module>
8 #for each element in ma_list, we randome and put into our variable
9 for i in ma_list:
---> 10 random_list = random.sample(ma_list, 5)
11 #then we remove data already randomize in our list, but the complexity is high for this little program
12 for element in random_list:
~anaconda3librandom.py in sample(self, population, k)
361 n = len(population)
362 if not 0 <= k <= n:
--> 363 raise ValueError("Sample larger than population or is negative")
364 result = [None] * k
365 setsize = 21 # size of a small set minus size of an empty list
ValueError: Sample larger than population or is negative
>Solution :
The error showed that the len of ma_list is less than 5. You need to add if… as below to break the for loop.
import random
ma_list =["anne","aline","gros","eve","armand","yves","elv","allo","sonia","luc","marc","jules","kevin"]
#this will contain an occurence of our list
maListOc = ma_list
#this list will contain our random list
random_list = None
groupe = 1
#for each element in ma_list, we randome and put into our variable
for i in ma_list:
if(len(ma_list)<=5):
break
random_list = random.sample(ma_list, 5)
#then we remove data already randomize in our list, but the complexity is high for this little program
for element in random_list:
ma_list.remove(element)
print("Goupe N°:",groupe)
#and we finally print our randomized list
print(random_list)
print("______________________________")
groupe += 1
print(maListOc)
Output:
Goupe N°: 1
['aline', 'jules', 'marc', 'yves', 'luc']
______________________________
Goupe N°: 2
['kevin', 'armand', 'gros', 'anne', 'sonia']
______________________________
['eve', 'elv', 'allo']
Вы ищете random.shuffle? Это даст вам каждый элемент диапазона ровно один раз, в случайном порядке:
>>> import random
>>> l = list(range(1000,2000))
>>> random.shuffle(l)
>>> l
[1096, 1434, 1564, 1503, 1213, 1484, 1340, 1729, 1262, 1663, 1684, 1609, 1464, 1902, 1302, 1767, 1860, 1733, 1009, 1735, 1445, 1429, 1448, 1665, 1551, 1426, 1755, 1790, 1108, 1891, 1121, 1325, 1600, 1230, 1315, 1191, 1243, 1074, 1107, 1865, 1179, 1198, 1169, 1830, 1798, 1727, 1147, 1890, 1092, 1451, 1048, 1638, 1598, 1888, 1807, 1324, 1682, 1589, 1884, 1433, 1130, 1348, 1662, 1215, 1444, 1387, 1897, 1758, 1043, 1372, 1155, 1032, 1487, 1509, 1806, 1602, 1093, 1220, 1772, 1531, 1804, 1746, 1292, 1694, 1556, 1517, 1943, 1582, 1547, 1989, 1966, 1915, 1833, 1276, 1988, 1887, 1320, 1339, 1605, 1951, 1040, 1327, 1336, 1128, 1757, 1538, 1131, 1116, 1142, 1960, 1250, 1307, 1595, 1139, 1576, 1059, 1627, 1633, 1639, 1438, 1252, 1584, 1090, 1272, 1353, 1683, 1163, 1773, 1004, 1658, 1174, 1617, 1516, 1008, 1707, 1083, 1094, 1987, 1628, 1437, 1095, 1763, 1159, 1976, 1267, 1916, 1311, 1091, 1498, 1623, 1029, 1532, 1175, 1458, 1256, 1439, 1452, 1018, 1706, 1205, 1546, 1047, 1103, 1922, 1977, 1895, 1972, 1586, 1447, 1383, 1687, 1822, 1796, 1769, 1664, 1859, 1699, 1322, 1672, 1390, 1360, 1435, 1995, 1753, 1469, 1309, 1208, 1747, 1999, 1791, 1061, 1572, 1245, 1965, 1760, 1601, 1852, 1853, 1913, 1072, 1528, 1530, 1782, 1958, 1342, 1105, 1453, 1416, 1185, 1737, 1015, 1244, 1800, 1366, 1739, 1373, 1533, 1505, 1964, 1996, 1731, 1622, 1742, 1847, 1720, 1263, 1568, 1971, 1667, 1591, 1545, 1953, 1686, 1112, 1935, 1461, 1436, 1894, 1920, 1391, 1673, 1650, 1482, 1197, 1314, 1613, 1479, 1527, 1352, 1186, 1467, 1834, 1948, 1878, 1011, 1911, 1087, 1264, 1333, 1323, 1776, 1266, 1907, 1178, 1284, 1580, 1697, 1857, 1050, 1548, 1974, 1869, 1358, 1190, 1679, 1411, 1539, 1033, 1073, 1308, 1693, 1986, 1165, 1925, 1485, 1085, 1579, 1021, 1055, 1762, 1456, 1088, 1480, 1318, 1357, 1862, 1736, 1752, 1992, 1793, 1006, 1492, 1670, 1392, 1819, 1478, 1481, 1488, 1968, 1583, 1377, 1431, 1880, 1258, 1581, 1007, 1929, 1512, 1775, 1783, 1418, 1511, 1259, 1631, 1328, 1770, 1189, 1963, 1651, 1523, 1829, 1054, 1629, 1596, 1825, 1052, 1768, 1814, 1874, 1843, 1759, 1066, 1151, 1671, 1064, 1780, 1347, 1138, 1794, 1883, 1647, 1867, 1820, 1402, 1973, 1278, 1471, 1653, 1058, 1680, 1975, 1850, 1678, 1304, 1774, 1026, 1691, 1802, 1698, 1146, 1065, 1268, 1111, 1351, 1202, 1045, 1168, 1717, 1677, 1039, 1980, 1502, 1882, 1081, 1407, 1288, 1397, 1848, 1188, 1840, 1721, 1723, 1514, 1158, 1218, 1898, 1616, 1184, 1961, 1424, 1298, 1858, 1955, 1115, 1560, 1506, 1160, 1849, 1356, 1271, 1640, 1636, 1350, 1908, 1473, 1338, 1044, 1474, 1419, 1518, 1370, 1618, 1194, 1614, 1078, 1305, 1513, 1801, 1341, 1313, 1280, 1013, 1702, 1625, 1421, 1070, 1923, 1928, 1257, 1554, 1912, 1173, 1504, 1209, 1612, 1765, 1031, 1216, 1084, 1641, 1566, 1905, 1071, 1959, 1881, 1389, 1486, 1369, 1779, 1983, 1134, 1157, 1713, 1167, 1354, 1799, 1001, 1688, 1388, 1207, 1030, 1846, 1143, 1104, 1180, 1154, 1690, 1060, 1228, 1468, 1681, 1097, 1931, 1120, 1101, 1002, 1877, 1635, 1938, 1604, 1590, 1379, 1795, 1398, 1868, 1126, 1201, 1152, 1851, 1620, 1899, 1854, 1892, 1106, 1203, 1156, 1214, 1703, 1425, 1269, 1226, 1812, 1549, 1766, 1422, 1316, 1740, 1573, 1321, 1606, 1692, 1875, 1056, 1477, 1709, 1632, 1611, 1381, 1297, 1542, 1967, 1708, 1124, 1936, 1051, 1384, 1440, 1196, 1969, 1615, 1689, 1571, 1940, 1685, 1277, 1335, 1326, 1077, 1654, 1193, 1751, 1069, 1212, 1299, 1310, 1508, 1399, 1529, 1954, 1408, 1042, 1561, 1211, 1119, 1587, 1086, 1855, 1466, 1067, 1192, 1441, 1918, 1507, 1624, 1607, 1553, 1217, 1362, 1592, 1206, 1900, 1608, 1450, 1273, 1150, 1823, 1396, 1337, 1349, 1265, 1187, 1306, 1909, 1500, 1652, 1172, 1749, 1057, 1866, 1099, 1003, 1079, 1552, 1363, 1385, 1861, 1863, 1567, 1455, 1594, 1831, 1603, 1784, 1956, 1319, 1557, 1223, 1359, 1842, 1962, 1378, 1153, 1979, 1950, 1491, 1826, 1063, 1177, 1725, 1933, 1738, 1838, 1233, 1599, 1927, 1788, 1080, 1301, 1137, 1132, 1409, 1024, 1110, 1835, 1014, 1993, 1845, 1290, 1470, 1162, 1199, 1183, 1239, 1465, 1715, 1985, 1332, 1569, 1903, 1365, 1423, 1889, 1412, 1176, 1432, 1734, 1803, 1016, 1181, 1118, 1254, 1075, 1114, 1161, 1037, 1871, 1593, 1270, 1495, 1982, 1082, 1401, 1659, 1970, 1261, 1939, 1229, 1496, 1914, 1832, 1519, 1919, 1166, 1816, 1646, 1904, 1312, 1113, 1540, 1375, 1577, 1634, 1330, 1946, 1565, 1382, 1695, 1253, 1499, 1520, 1716, 1544, 1543, 1287, 1619, 1371, 1710, 1027, 1655, 1750, 1610, 1443, 1034, 1260, 1334, 1778, 1525, 1403, 1219, 1246, 1836, 1428, 1756, 1522, 1235, 1010, 1675, 1578, 1873, 1251, 1570, 1952, 1023, 1462, 1515, 1761, 1805, 1744, 1626, 1701, 1020, 1764, 1901, 1637, 1117, 1394, 1413, 1000, 1649, 1906, 1242, 1674, 1490, 1395, 1049, 1355, 1344, 1917, 1076, 1787, 1574, 1041, 1127, 1910, 1893, 1415, 1476, 1771, 1555, 1102, 1317, 1283, 1998, 1558, 1343, 1732, 1232, 1406, 1785, 1997, 1668, 1144, 1661, 1122, 1164, 1248, 1291, 1149, 1811, 1224, 1380, 1300, 1949, 1125, 1719, 1286, 1711, 1984, 1296, 1068, 1129, 1841, 1588, 1856, 1182, 1676, 1879, 1274, 1240, 1896, 1459, 1449, 1712, 1430, 1501, 1019, 1483, 1140, 1981, 1510, 1648, 1696, 1225, 1025, 1524, 1754, 1417, 1808, 1642, 1247, 1741, 1704, 1046, 1241, 1926, 1038, 1255, 1944, 1295, 1537, 1028, 1657, 1700, 1289, 1942, 1100, 1827, 1279, 1427, 1135, 1062, 1563, 1281, 1446, 1886, 1494, 1285, 1195, 1885, 1828, 1728, 1934, 1990, 1726, 1924, 1526, 1303, 1222, 1669, 1809, 1786, 1978, 1921, 1777, 1536, 1275, 1405, 1813, 1364, 1991, 1136, 1237, 1714, 1035, 1098, 1597, 1238, 1475, 1022, 1249, 1666, 1463, 1493, 1123, 1472, 1234, 1109, 1170, 1345, 1781, 1145, 1724, 1393, 1656, 1722, 1839, 1621, 1200, 1660, 1957, 1870, 1442, 1945, 1941, 1748, 1386, 1585, 1171, 1133, 1005, 1535, 1346, 1017, 1745, 1797, 1329, 1792, 1404, 1630, 1293, 1872, 1930, 1367, 1227, 1815, 1294, 1844, 1454, 1204, 1460, 1994, 1368, 1410, 1550, 1148, 1562, 1236, 1810, 1374, 1575, 1282, 1331, 1743, 1821, 1818, 1876, 1414, 1947, 1141, 1645, 1089, 1817, 1705, 1012, 1541, 1824, 1420, 1361, 1231, 1489, 1053, 1534, 1837, 1643, 1400, 1730, 1644, 1937, 1210, 1864, 1376, 1036, 1457, 1497, 1718, 1221, 1521, 1559, 1789, 1932]
3
Eric Duminil
5 Май 2017 в 08:54