I have the following lisp file, which is from the UCI machine learning database. I would like to convert it into a flat text file using python. A typical line looks like th
As shown in this answer, pyparsing appears to be the right tool for that:
inputdata = '(1 ((st 8) (pitch 67) (dur 4) (keysig 1) (timesig 12) (fermata 0))((st 12) (pitch 67) (dur 8) (keysig 1) (timesig 12) (fermata 0)))'
from pyparsing import OneOrMore, nestedExpr
data = OneOrMore(nestedExpr()).parseString(inputdata)
print data
# [['1', [['st', '8'], ['pitch', '67'], ['dur', '4'], ['keysig', '1'], ['timesig', '12'], ['fermata', '0']], [['st', '12'], ['pitch', '67'], ['dur', '8'], ['keysig', '1'], ['timesig', '12'], ['fermata', '0']]]]
For the completeness' sake, this is how to format the results (using texttable):
from texttable import Texttable
tab = Texttable()
for row in data.asList()[0][1:]:
row = dict(row)
tab.header(row.keys())
tab.add_row(row.values())
print tab.draw()
+---------+--------+----+-------+-----+---------+ | timesig | keysig | st | pitch | dur | fermata | +=========+========+====+=======+=====+=========+ | 12 | 1 | 8 | 67 | 4 | 0 | +---------+--------+----+-------+-----+---------+ | 12 | 1 | 12 | 67 | 8 | 0 | +---------+--------+----+-------+-----+---------+
To convert that data back to the lisp notation:
def lisp(x):
return '(%s)' % ' '.join(lisp(y) for y in x) if isinstance(x, list) else x
d = lisp(d[0])