2006 east asian judo championships
of the nations that earned 3 gold medals at the 2006 east asian judo championship , the only one that earned 4 silver was china .
{'scope': 'subset', 'row': '2', 'col': '4', 'col_other': '2', 'criterion': 'equal', 'value': '4', 'subset': {'col': '3', 'criterion': 'equal', 'value': '3'}}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'gold', '3'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; gold ; 3 }', 'tointer': 'select the rows whose gold record is equal to 3 .'}, 'silver', '4'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose gold record is equal to 3 . among these rows , select the rows whose silver record is equal to 4 .', 'tostr': 'filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 }'}], 'result': True, 'ind': 2, 'tostr': 'only { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } }', 'tointer': 'select the rows whose gold record is equal to 3 . among these rows , select the rows whose silver record is equal to 4 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_eq', 'args': [{'func': 'filter_eq', 'args': ['all_rows', 'gold', '3'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; gold ; 3 }', 'tointer': 'select the rows whose gold record is equal to 3 .'}, 'silver', '4'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose gold record is equal to 3 . among these rows , select the rows whose silver record is equal to 4 .', 'tostr': 'filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 }'}, 'nation'], 'result': 'china', 'ind': 3, 'tostr': 'hop { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } ; nation }'}, 'china'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } ; nation } ; china }', 'tointer': 'the nation record of this unqiue row is china .'}], 'result': True, 'ind': 5, 'tostr': 'and { only { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } } ; eq { hop { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } ; nation } ; china } } = true', 'tointer': 'select the rows whose gold record is equal to 3 . among these rows , select the rows whose silver record is equal to 4 . there is only one such row in the table . the nation record of this unqiue row is china .'}
and { only { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } } ; eq { hop { filter_eq { filter_eq { all_rows ; gold ; 3 } ; silver ; 4 } ; nation } ; china } } = true
select the rows whose gold record is equal to 3 . among these rows , select the rows whose silver record is equal to 4 . there is only one such row in the table . the nation record of this unqiue row is china .
{'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_eq_1': 'filter_eq', 'filter_eq_0': 'filter_eq', 'all_rows_7': 'all_rows', 'gold_8': 'gold', '3_9': '3', 'silver_10': 'silver', '4_11': '4', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'nation_12': 'nation', 'china_13': 'china'}
['rank', 'nation', 'gold', 'silver', 'bronze', 'total']
[['1', 'japan', '6', '1', '6', '13'], ['2', 'china', '3', '4', '4', '11'], ['3', 'south korea', '3', '3', '3', '9'], ['4', 'mongolia', '1', '5', '12', '18'], ['5', 'north korea', '1', '1', '2', '4'], ['6', 'chinese taipei', '0', '0', '1', '1'], ['total', 'total', '14', '14', '28', '56']]