locomotives of the great western railway
beyer peacock & co has the highest quantity among the other manufacturers of locomotives of the great western railway .
{'scope': 'all', 'col_superlative': '3', 'row_superlative': '5', 'value_mentioned': 'no', 'max_or_min': 'max', 'other_col': '1', 'subset': None}
{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'argmax', 'args': ['all_rows', 'quantity'], 'result': None, 'ind': 0, 'tostr': 'argmax { all_rows ; quantity }'}, 'manufacturer'], 'result': 'beyer , peacock & co', 'ind': 1, 'tostr': 'hop { argmax { all_rows ; quantity } ; manufacturer }'}, 'beyer , peacock & co'], 'result': True, 'ind': 2, 'tostr': 'eq { hop { argmax { all_rows ; quantity } ; manufacturer } ; beyer , peacock & co } = true', 'tointer': 'select the row whose quantity record of all rows is maximum . the manufacturer record of this row is beyer , peacock & co .'}
eq { hop { argmax { all_rows ; quantity } ; manufacturer } ; beyer , peacock & co } = true
select the row whose quantity record of all rows is maximum . the manufacturer record of this row is beyer , peacock & co .
{'str_eq_2': 'str_eq', 'result_3': 'true', 'str_hop_1': 'str_hop', 'argmax_0': 'argmax', 'all_rows_4': 'all_rows', 'quantity_5': 'quantity', 'manufacturer_6': 'manufacturer', 'beyer , peacock & co_7': 'beyer , peacock & co'}
['manufacturer', 'type', 'quantity', 'm & swj nos', 'gwr nos']
[['beyer , peacock & co', '0 - 4 - 4t', '1', '15', '23'], ['beyer , peacock & co', '2 - 6 - 0', '1', '16', '24'], ['sharp , stewart & co', '4 - 4 - 4t', '2', '17 - 18', '25 , 27'], ['dübs & co', '0 - 6 - 0t', '2', '13 - 14', '825 , 843'], ['beyer , peacock & co', '0 - 6 - 0', '10', '19 - 28', '1003 - 1011 , 1013'], ['north british locomotive co', '4 - 4 - 0', '9', '1 - 8 , 31', '1119 - 1126 , 1128'], ['dübs & co', '4 - 4 - 0', '1', '9', '1127'], ['dübs & co', '2 - 4 - 0', '3', '10 - 12', '1334 - 1336']]