def group_sed_in_gor():
reader = list(csv.reader(open('sed.csv')))
return group_regions(regions, group_words(lst.transpose(reader)))
def transpose_word(word):
"[{str:[float]}] -> [[{str:float}]]"
def transpose_segment(seg):
return [dict(zip(seg.keys(), ns)) for ns in lst.transpose(seg.values())]
return lst.transpose(map(transpose_segment, word))
def transpose_segment(seg):
return [dict(zip(seg.keys(), ns)) for ns in lst.transpose(seg.values())]
def stringify(zipped):
print zipped
return '\n'.join('c(%s)' % ','.join(map(str,ns))
for ns in transpose(zipped.values()))