def write_tadm_file(train_toks, encoding, stream):
 labels = encoding.labels()
 for (featureset, label) in train_toks:
  length_line = (u'%d\n' % len(labels))
  stream.write(length_line)
  for known_label in labels:
   v = encoding.encode(featureset, known_label)
   line = (u'%d %d %s\n' % (int((label == known_label)), len(v), u' '.join(((u'%d %d' % u) for u in v))))
   stream.write(line)

def write_tadm_file ( train_toks , encoding , stream ) : labels = encoding . labels ( ) for ( featureset , label ) in train_toks : length_line = ( u'%d\n' % len ( labels ) ) stream . write ( length_line ) for known_label in labels : v = encoding . encode ( featureset , known_label ) line = ( u'%d %d %s\n' % ( int ( ( label == known_label ) ) , len ( v ) , u' ' . join ( ( ( u'%d %d' % u ) for u in v ) ) ) ) stream . write ( line )
generate an input file for tadm based on the given corpus of classified tokens .