ect mainline rail
three of the rails have fragonset black as their livery .
{'scope': 'all', 'criterion': 'equal', 'value': 'fragonset black', 'result': '3', 'col': '4', 'subset': None}
{'func': 'eq', 'args': [{'func': 'count', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'livery', 'fragonset black'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose livery record fuzzily matches to fragonset black .', 'tostr': 'filter_eq { all_rows ; livery ; fragonset black }'}], 'result': '3', 'ind': 1, 'tostr': 'count { filter_eq { all_rows ; livery ; fragonset black } }', 'tointer': 'select the rows whose livery record fuzzily matches to fragonset black . the number of such rows is 3 .'}, '3'], 'result': True, 'ind': 2, 'tostr': 'eq { count { filter_eq { all_rows ; livery ; fragonset black } } ; 3 } = true', 'tointer': 'select the rows whose livery record fuzzily matches to fragonset black . the number of such rows is 3 .'}
eq { count { filter_eq { all_rows ; livery ; fragonset black } } ; 3 } = true
select the rows whose livery record fuzzily matches to fragonset black . the number of such rows is 3 .
{'eq_2': 'eq', 'result_3': 'true', 'count_1': 'count', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_4': 'all_rows', 'livery_5': 'livery', 'fragonset black_6': 'fragonset black', '3_7': '3'}
['number', 'class', 'name', 'livery', 'notes']
[['31128', '31', 'charybdis', 'fragonset black', 'now operated by nemesis rail'], ['31452', '31', 'minotaur', 'fragonset black', 'now operated by network rail'], ['31454', '31', 'the heart of wessex', 'intercity swallow', 'now operated by network rail'], ['31468', '31', 'hydra', 'fragonset black', 'now operated by network rail'], ['31601', '31', 'gauge o guild', 'wessex trains pink', 'now operated by network rail']]