swimming at the 2000 summer olympics - women 's 200 metre individual medley
germany was the only country with a swimmer in the 2:18 time range .
{'scope': 'all', 'row': '8', 'col': '5', 'col_other': '4', 'criterion': 'equal', 'value': '2:18', 'subset': None}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'time', '2:18'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose time record fuzzily matches to 2:18 .', 'tostr': 'filter_eq { all_rows ; time ; 2:18 }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; time ; 2:18 } }', 'tointer': 'select the rows whose time record fuzzily matches to 2:18 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'time', '2:18'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose time record fuzzily matches to 2:18 .', 'tostr': 'filter_eq { all_rows ; time ; 2:18 }'}, 'nationality'], 'result': 'germany', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; time ; 2:18 } ; nationality }'}, 'germany'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; time ; 2:18 } ; nationality } ; germany }', 'tointer': 'the nationality record of this unqiue row is germany .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; time ; 2:18 } } ; eq { hop { filter_eq { all_rows ; time ; 2:18 } ; nationality } ; germany } } = true', 'tointer': 'select the rows whose time record fuzzily matches to 2:18 . there is only one such row in the table . the nationality record of this unqiue row is germany .'}
and { only { filter_eq { all_rows ; time ; 2:18 } } ; eq { hop { filter_eq { all_rows ; time ; 2:18 } ; nationality } ; germany } } = true
select the rows whose time record fuzzily matches to 2:18 . there is only one such row in the table . the nationality record of this unqiue row is germany .
{'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'time_7': 'time', '2:18_8': '2:18', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'nationality_9': 'nationality', 'germany_10': 'germany'}
['rank', 'lane', 'name', 'nationality', 'time']
[['1', '5', 'yana klochkova', 'ukraine', '2:13.08'], ['2', '3', 'cristina teuscher', 'united states', '2:13.47'], ['3', '4', 'oxana verevka', 'russia', '2:14.04'], ['4', '6', 'tomoko hagiwara', 'japan', '2:15.09'], ['5', '2', 'chen yan', 'china', '2:15.27'], ['6', '7', 'sue rolph', 'great britain', '2:15.98'], ['7', '1', 'zhan shu', 'china', '2:16.58'], ['8', '8', 'nicole hetzer', 'germany', '2:18.08']]