

def prop_conll(verbs, props, sent_length):
    '\n    Returns the string representation for a single sentence\n    using the CoNLL format for evaluation.\n    \n    :param verbs: list of tuples (position, token)\n    :param props: list of lists with IOBES tags.\n    '
    verb_dict = defaultdict((lambda : '-'), verbs)
    lines = []
    for i in range(sent_length):
        verb = verb_dict[i]
        args = [utils.convert_iobes_to_bracket(x[i]) for x in lines]
        lines.append('\t'.join(([verb] + args)))
    result = ('%s\n' % '\n'.join(lines))
    return result.encode('utf-8')

dataset/ETHPy150Open erickrf/nlpnet/bin/nlpnet-test.py prop_conll/VarMisuse@66/169 `props`->`lines`