emergency shipbuilding program
the great lakes engineering co shipbuilding yard is the only yard in the state of michigan .
{'scope': 'all', 'row': '8', 'col': '2', 'col_other': '1', 'criterion': 'equal', 'value': 'michigan', 'subset': None}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location ( city , state )', 'michigan'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location ( city , state ) record fuzzily matches to michigan .', 'tostr': 'filter_eq { all_rows ; location ( city , state ) ; michigan }'}], 'result': True, 'ind': 1, 'tostr': 'only { filter_eq { all_rows ; location ( city , state ) ; michigan } }', 'tointer': 'select the rows whose location ( city , state ) record fuzzily matches to michigan . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'location ( city , state )', 'michigan'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose location ( city , state ) record fuzzily matches to michigan .', 'tostr': 'filter_eq { all_rows ; location ( city , state ) ; michigan }'}, 'yard name'], 'result': 'great lakes engineering co', 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; location ( city , state ) ; michigan } ; yard name }'}, 'great lakes engineering co'], 'result': True, 'ind': 3, 'tostr': 'eq { hop { filter_eq { all_rows ; location ( city , state ) ; michigan } ; yard name } ; great lakes engineering co }', 'tointer': 'the yard name record of this unqiue row is great lakes engineering co .'}], 'result': True, 'ind': 4, 'tostr': 'and { only { filter_eq { all_rows ; location ( city , state ) ; michigan } } ; eq { hop { filter_eq { all_rows ; location ( city , state ) ; michigan } ; yard name } ; great lakes engineering co } } = true', 'tointer': 'select the rows whose location ( city , state ) record fuzzily matches to michigan . there is only one such row in the table . the yard name record of this unqiue row is great lakes engineering co .'}
and { only { filter_eq { all_rows ; location ( city , state ) ; michigan } } ; eq { hop { filter_eq { all_rows ; location ( city , state ) ; michigan } ; yard name } ; great lakes engineering co } } = true
select the rows whose location ( city , state ) record fuzzily matches to michigan . there is only one such row in the table . the yard name record of this unqiue row is great lakes engineering co .
{'and_4': 'and', 'result_5': 'true', 'only_1': 'only', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'location (city , state)_7': 'location ( city , state )', 'michigan_8': 'michigan', 'str_eq_3': 'str_eq', 'str_hop_2': 'str_hop', 'yard name_9': 'yard name', 'great lakes engineering co_10': 'great lakes engineering co'}
['yard name', 'location ( city , state )', '1st ship delivery date', 'ship types delivered', 'total number of ways']
[['cargill inc', 'savage , minnesota', 'november 1941', 't1 type', 'number'], ['leatham d smith shipbuilding co', 'sturgeon bay , wisconsin', 'november 1942', 'c1 - m type , n3 type , s2 ( frigate ) type', 'number'], ['walter butler shipbuilders', 'superior , wisconsin', 'december 1942', 'c1 - m type , n3 type , s2 ( frigate ) type', 'number'], ['froemming brothers', 'milwaukee , wisconsin', 'april 1943', 'c1 - m type , v4 type , s2 ( frigate ) type', 'number'], ['american shipbuilding', 'lorain , ohio', 'may 1943', 'l6 type , s2 ( frigate ) type', 'number'], ['walter butler shipbuilders inc', 'duluth , minnesota', 'may 1943', 'c1 - m type , n3 type , t1 type', 'number'], ['globe shipbuilding co', 'superior , wisconsin', 'may 1943', 'c1 - m type , v4 type , s2 ( frigate ) type', 'number'], ['great lakes engineering co', 'ecorse , michigan', 'may 1943', 'l6 type', 'number'], ['great lakes engineering co', 'ashtabula , ohio', 'may 1943', 'l6 type', 'number'], ['american shipbuilding', 'cleveland , ohio', 'june 1943', 'l6 type , s2 ( frigate ) type', 'number']]