def corpus_iterator(corpus_file, with_logprob=False):
 l = corpus_file.readline()
 tagfield = ((with_logprob and (-2)) or (-1))
 try:
  while l:
   line = l.strip()
   if line:
    fields = line.split(' ')
    ne_tag = fields[tagfield]
    word = ' '.join(fields[:tagfield])
    (yield (word, ne_tag))
   else:
    (yield (None, None))
   l = corpus_file.readline()
 except IndexError:
  sys.stderr.write('Could not read line: \n')
  sys.stderr.write(('\n%s' % line))
  if with_logprob:
   sys.stderr.write('Did you forget to output log probabilities in the prediction file?\n')
  sys.exit(1)

def corpus_iterator ( corpus_file , with_logprob = False ) : l = corpus_file . readline ( ) tagfield = ( ( with_logprob and ( - 2 ) ) or ( - 1 ) ) try : while l : line = l . strip ( ) if line : fields = line . split ( ' ' ) ne_tag = fields [ tagfield ] word = ' ' . join ( fields [ : tagfield ] ) ( yield ( word , ne_tag ) ) else : ( yield ( None , None ) ) l = corpus_file . readline ( ) except IndexError : sys . stderr . write ( 'Could not read line: \n' ) sys . stderr . write ( ( '\n%s' % line ) ) if with_logprob : sys . stderr . write ( 'Did you forget to output log probabilities in the prediction file?\n' ) sys . exit ( 1 )
get an iterator object over the corpus file .