cube ( film series )
most of all male characters in the cube ( film series ) died .
{'scope': 'subset', 'col': '6', 'most_or_all': 'most', 'criterion': 'equal', 'value': 'dead', 'subset': {'col': '3', 'criterion': 'equal', 'value': 'male'}}
{'func': 'most_str_eq', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'gender', 'male'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; gender ; male }', 'tointer': 'select the rows whose gender record fuzzily matches to male .'}, 'status', 'dead'], 'result': True, 'ind': 1, 'tointer': 'select the rows whose gender record fuzzily matches to male . for the status records of these rows , most of them fuzzily match to dead .', 'tostr': 'most_eq { filter_eq { all_rows ; gender ; male } ; status ; dead } = true'}
most_eq { filter_eq { all_rows ; gender ; male } ; status ; dead } = true
select the rows whose gender record fuzzily matches to male . for the status records of these rows , most of them fuzzily match to dead .
{'most_str_eq_1': 'most_str_eq', 'result_2': 'true', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_3': 'all_rows', 'gender_4': 'gender', 'male_5': 'male', 'status_6': 'status', 'dead_7': 'dead'}
['name', 'occupation', 'gender', 'prison connection', 'played by', 'status']
[['kazan', 'autistic savant', 'male', 'kazan prison ( russia )', 'andrew miller', 'alive after exiting the cube'], ['david worth', 'architect', 'male', 'leavenworth prison ( usa )', 'david hewlett', 'dead'], ['quentin', 'police officer', 'male', 'san quentin state prison ( usa )', 'maurice dean wint', 'dead'], ['joan leaven', 'mathematics student', 'female', 'leavenworth prison ( usa )', 'nicole de boer', 'dead'], ['dr helen holloway', 'free clinic doctor', 'female', "holloway women 's prison ( uk )", 'nicky guadagni', 'dead'], ['rennes', 'prison escapist', 'male', 'centre pãnitentiaire de rennes ( france )', 'wayne robson', 'dead']]