swimming at the 2000 summer olympics - men 's 200 metre individual medley
exactly one of the athletes was from the united states .
{'scope': 'all', 'criterion': 'equal', 'value': 'united states', 'result': '1', 'col': '4', 'subset': None}
{'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'nationality', 'united states'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose nationality record fuzzily matches to united states .', 'tostr': 'filter_eq { all_rows ; nationality ; united states }'}], 'result': '1', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; nationality ; united states } }', 'tointer': 'select the rows whose nationality record fuzzily matches to united states . the number of such rows is 1 .'}, '1'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; nationality ; united states } } ; 1 } = true', 'tointer': 'select the rows whose nationality record fuzzily matches to united states . the number of such rows is 1 .'}
eq { count { filter_eq { all_rows ; nationality ; united states } } ; 1 } = true
select the rows whose nationality record fuzzily matches to united states . the number of such rows is 1 .
{'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'nationality_5': 'nationality', 'united states_6': 'united states', '1_7': '1'}
['rank', 'lane', 'name', 'nationality', 'time']
[['1', '4', 'massimiliano rosolino', 'italy', '2:01.14'], ['2', '5', 'marcel wouda', 'netherlands', '2:01.40'], ['3', '3', 'jani sievinen', 'finland', '2:01.46'], ['4', '6', 'tom wilkens', 'united states', '2:01.51'], ['5', '2', 'cezar bădiţă', 'romania', '2:02.02'], ['6', '1', 'jordi carrasco', 'spain', '2:02.90'], ['7', '7', 'robert van der zant', 'australia', '2:02.91'], ['8', '8', 'brian johns', 'canada', '2:02.92']]