tom nijssen
tom nijssen had a winning record of 6-4 for the paris atp masters series compared to the rome atp masters series where he had a losing record of 0-8 .
{'row_1': '17', 'row_2': '12', 'col': '12', 'col_other': '1', 'relation': 'not_equal', 'record_mentioned': 'yes', 'diff_result': None}
{'func': 'and', 'args': [{'func': 'not_str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tournament', 'paris'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose tournament record fuzzily matches to paris .', 'tostr': 'filter_eq { all_rows ; tournament ; paris }'}, 'career win - loss'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss }', 'tointer': 'select the rows whose tournament record fuzzily matches to paris . take the career win - loss record of this row .'}, {'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tournament', 'rome'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose tournament record fuzzily matches to rome .', 'tostr': 'filter_eq { all_rows ; tournament ; rome }'}, 'career win - loss'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss }', 'tointer': 'select the rows whose tournament record fuzzily matches to rome . take the career win - loss record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'not_eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } }', 'tointer': 'select the rows whose tournament record fuzzily matches to paris . take the career win - loss record of this row . select the rows whose tournament record fuzzily matches to rome . take the career win - loss record of this row . the first record does not match to the second record .'}, {'func': 'and', 'args': [{'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tournament', 'paris'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose tournament record fuzzily matches to paris .', 'tostr': 'filter_eq { all_rows ; tournament ; paris }'}, 'career win - loss'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss }', 'tointer': 'select the rows whose tournament record fuzzily matches to paris . take the career win - loss record of this row .'}, '6 - 4'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; 6 - 4 }', 'tointer': 'the career win - loss record of the first row is 6 - 4 .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'tournament', 'rome'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose tournament record fuzzily matches to rome .', 'tostr': 'filter_eq { all_rows ; tournament ; rome }'}, 'career win - loss'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss }', 'tointer': 'select the rows whose tournament record fuzzily matches to rome . take the career win - loss record of this row .'}, '0 - 8'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } ; 0 - 8 }', 'tointer': 'the career win - loss record of the second row is 0 - 8 .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; 6 - 4 } ; eq { hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } ; 0 - 8 } }', 'tointer': 'the career win - loss record of the first row is 6 - 4 . the career win - loss record of the second row is 0 - 8 .'}], 'result': True, 'ind': 8, 'tostr': 'and { not_eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } } ; and { eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; 6 - 4 } ; eq { hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } ; 0 - 8 } } } = true', 'tointer': 'select the rows whose tournament record fuzzily matches to paris . take the career win - loss record of this row . select the rows whose tournament record fuzzily matches to rome . take the career win - loss record of this row . the first record does not match to the second record . the career win - loss record of the first row is 6 - 4 . the career win - loss record of the second row is 0 - 8 .'}
and { not_eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } } ; and { eq { hop { filter_eq { all_rows ; tournament ; paris } ; career win - loss } ; 6 - 4 } ; eq { hop { filter_eq { all_rows ; tournament ; rome } ; career win - loss } ; 0 - 8 } } } = true
select the rows whose tournament record fuzzily matches to paris . take the career win - loss record of this row . select the rows whose tournament record fuzzily matches to rome . take the career win - loss record of this row . the first record does not match to the second record . the career win - loss record of the first row is 6 - 4 . the career win - loss record of the second row is 0 - 8 .
{'and_8': 'and', 'result_9': 'true', 'not_str_eq_4': 'not_str_eq', 'str_hop_2': 'str_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'tournament_11': 'tournament', 'paris_12': 'paris', 'career win - loss_13': 'career win - loss', 'str_hop_3': 'str_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'tournament_15': 'tournament', 'rome_16': 'rome', 'career win - loss_17': 'career win - loss', 'and_7': 'and', 'str_eq_5': 'str_eq', '6 - 4_18': '6 - 4', 'str_eq_6': 'str_eq', '0 - 8_19': '0 - 8'}
['tournament', '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998', 'career sr', 'career win - loss']
[['grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams', 'grand slams'], ['australian open', '1r', '1r', 'qf', '2r', 'qf', '1r', '1r', '3r', '1r', '0 / 11', '12 - 11'], ['french open', '1r', 'qf', '2r', '2r', '3r', '1r', '1r', '2r', 'a', '0 / 12', '13 - 12'], ['wimbledon', '2r', '3r', '1r', '1r', 'qf', '1r', '3r', '2r', '1r', '0 / 11', '12 - 11'], ['us open', 'a', '1r', '3r', '3r', 'qf', '2r', '2r', '1r', 'a', '0 / 8', '9 - 8'], ['grand slam sr', '0 / 3', '0 / 4', '0 / 4', '0 / 4', '0 / 4', '0 / 4', '0 / 4', '0 / 4', '0 / 2', '0 / 42', 'n / a'], ['annual win - loss', '2 - 3', '5 - 4', '6 - 4', '4 - 4', '11 - 4', '1 - 4', '3 - 4', '4 - 4', '0 - 2', 'n / a', '46 - 42'], ['atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series', 'atp masters series'], ['indian wells', 'a', 'a', '1r', 'a', 'a', 'a', '1r', 'a', 'a', '0 / 2', '0 - 2'], ['miami', '1r', '1r', '3r', '2r', '2r', '2r', '1r', '1r', '2r', '0 / 9', '2 - 9'], ['monte carlo', 'a', '1r', 'sf', '1r', '1r', 'sf', '1r', 'a', 'a', '0 / 6', '5 - 6'], ['rome', '1r', '1r', '1r', '1r', '1r', '1r', '1r', '1r', 'a', '0 / 8', '0 - 8'], ['hamburg', '1r', 'qf', 'sf', '1r', 'qf', '1r', '2r', 'a', 'a', '0 / 7', '5 - 7'], ['canada', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', '0 / 0', '0 - 0'], ['cincinnati', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', '0 / 0', '0 - 0'], ['stuttgart ( stockholm )', '1r', 'f', 'qf', 'qf', '2r', 'a', 'a', 'a', 'a', '0 / 5', '6 - 5'], ['paris', 'a', '1r', 'qf', 'f', '2r', 'a', 'a', 'a', 'a', '0 / 4', '6 - 4'], ['masters series sr', '0 / 4', '0 / 6', '0 / 7', '0 / 6', '0 / 6', '0 / 4', '0 / 5', '0 / 2', '0 / 1', '0 / 41', 'n / a'], ['annual win - loss', '0 - 4', '5 - 6', '8 - 7', '5 - 6', '1 - 6', '4 - 4', '1 - 5', '0 - 2', '0 - 1', 'n / a', '24 - 41'], ['year end ranking', '53', '23', '18', '25', '28', '74', '79', '96', '313', 'n / a', 'n / a']]