takayo hashi
for takayo hashi , when the location is tokyo , japan , the only time he lost was when the opponent was hitomi akano .
{'scope': 'subset', 'row': '13', 'col': '1', 'col_other': '3', 'criterion': 'equal', 'value': 'loss', 'subset': {'col': '7', 'criterion': 'fuzzily_match', 'value': 'tokyo'}}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location', 'tokyo'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; location ; tokyo }', 'tointer': 'select the rows whose location record fuzzily matches to tokyo .'}, 'res', 'loss'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose location record fuzzily matches to tokyo . among these rows , select the rows whose res record fuzzily matches to loss .', 'tostr': 'filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss }'}], 'result': True, 'ind': 2, 'tostr': 'only { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } }', 'tointer': 'select the rows whose location record fuzzily matches to tokyo . among these rows , select the rows whose res record fuzzily matches to loss . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location', 'tokyo'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; location ; tokyo }', 'tointer': 'select the rows whose location record fuzzily matches to tokyo .'}, 'res', 'loss'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose location record fuzzily matches to tokyo . among these rows , select the rows whose res record fuzzily matches to loss .', 'tostr': 'filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss }'}, 'opponent'], 'result': 'hitomi akano', 'ind': 3, 'tostr': 'hop { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } ; opponent }'}, 'hitomi akano'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } ; opponent } ; hitomi akano }', 'tointer': 'the opponent record of this unqiue row is hitomi akano .'}], 'result': True, 'ind': 5, 'tostr': 'and { only { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } } ; eq { hop { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } ; opponent } ; hitomi akano } } = true', 'tointer': 'select the rows whose location record fuzzily matches to tokyo . among these rows , select the rows whose res record fuzzily matches to loss . there is only one such row in the table . the opponent record of this unqiue row is hitomi akano .'}
and { only { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } } ; eq { hop { filter_eq { filter_eq { all_rows ; location ; tokyo } ; res ; loss } ; opponent } ; hitomi akano } } = true
select the rows whose location record fuzzily matches to tokyo . among these rows , select the rows whose res record fuzzily matches to loss . there is only one such row in the table . the opponent record of this unqiue row is hitomi akano .
{'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_str_eq_1': 'filter_str_eq', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'location_8': 'location', 'tokyo_9': 'tokyo', 'res_10': 'res', 'loss_11': 'loss', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'opponent_12': 'opponent', 'hitomi akano_13': 'hitomi akano'}
['res', 'record', 'opponent', 'method', 'round', 'time', 'location']
[['win', '14 - 4', 'roxanne modafferi', 'decision ( unanimous )', '2', '5:00', 'koto , tokyo , japan'], ['loss', '13 - 4', 'cat zingano', 'ko ( slam )', '3', '4:42', 'denver , colorado , united states'], ['loss', '13 - 3', 'tara larosa', 'decision ( unanimous )', '5', '5:00', 'atlantic city , new jersey , united states'], ['loss', '13 - 2', 'sarah kaufman', 'decision ( unanimous )', '5', '5:00', 'san jose , california , united states'], ['win', '13 - 1', 'chisa yonezawa', 'submission ( rear - naked choke )', '2', '1:43', 'tokyo , japan'], ['win', '12 - 1', 'amanda buckner', 'decision ( unanimous )', '3', '5:00', 'los angeles , california , united states'], ['win', '11 - 1', 'hitomi akano', 'decision ( unanimous )', '3', '5:00', 'tokyo , japan'], ['win', '10 - 1', 'hee jin lee', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan'], ['win', '9 - 1', 'sybil starr', 'submission ( armbar )', '1', '2:47', 'tokyo , japan'], ['win', '8 - 1', 'miki morifuji', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan'], ['win', '7 - 1', 'kinuka sasaki', 'submission ( rear - naked choke )', '1', '2:31', 'tokyo , japan'], ['win', '6 - 1', 'kazuma morohoshi', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan'], ['loss', '5 - 1', 'hitomi akano', 'submission ( armbar )', '1', '1:19', 'tokyo , japan'], ['win', '5 - 0', 'yukari', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan'], ['win', '4 - 0', 'yoko hattori', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan'], ['win', '3 - 0', 'yumiko sugimoto', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan'], ['win', '2 - 0', 'mika harigai', 'submission ( rear - naked choke )', '2', '4:28', 'tokyo , japan'], ['win', '1 - 0', 'natsuko kikukawa', 'decision ( unanimous )', '2', '5:00', 'tokyo , japan']]