Question

这是我的代码：

def _parse(self, text):
    """
    This is the core interaction with the parser.

    It returns a Python data-structure, while the parse()
    function returns a JSON object
    """

    # CoreNLP interactive shell cannot recognize newline
    if '\n' in text or '\r' in text:
        to_send = re.sub("[\r\n]", " ", text).strip()
    else:
        to_send = text


    self.corenlp.sendline(to_send)
    max_expected_time = max(300.0, len(to_send) / 3.0)

    # repeated_input = self.corenlp.except("\n")  # confirm it
    t = self.corenlp.expect(["\nNLP> ", pexpect.TIMEOUT, pexpect.EOF,
                                 "\nWARNING: Parsing of sentence failed, possibly because of out of memory."],
                                timeout=max_expected_time)
    incoming = self.corenlp.before
    lag = incoming.split(b"\r\n")
    incoming = b"\r\n".join(lag).decode('latin-1').encode('utf-8')
    if t == 1:
        # TIMEOUT, clean up anything left in buffer
        print >>sys.stderr, {'error': "timed out after %f seconds" % max_expected_time,
                                 'input': to_send,
                                 'output': incoming}
        raise TimeoutError("Timed out after %d seconds" % max_expected_time)
    elif t == 2:
                # EOF, probably crash CoreNLP process
        print >>sys.stderr, {'error': "CoreNLP terminates abnormally while parsing",
                                 'input': to_send,
                                 'output': incoming}
        raise ProcessError("CoreNLP process terminates abnormally while parsing")
    elif t == 3:
                # out of memory
        print >>sys.stderr, {'error': "WARNING: Parsing of sentence failed, possibly because of out of memory.",
                                 'input': to_send,
                                 'output': incoming}
        raise OutOfMemoryError

    if VERBOSE:
        print("%s\n%s" % ('=' * 40, incoming))
    try:
        results = parse_parser_results(incoming)
    except ixception as e:
        if VERBOSE:
            print(traceback.format_exc())
        raise e

    self.pre_loaded_analisys_dict[to_send] = results

    with open(self.pre_analysis,"w", encoding = 'utf-8') as f:
        json.dump(self.pre_loaded_analisys_dict,f)

    return results

我有这个错误（我正在解析很多术语，这是我第一次遇到这个错误）：

＆gt;＆gt;：'builtin_function_or_method'和'_io.TextIOWrapper'不支持的操作数类型

任何想法？

编辑：printint传入变量我得到了这个：

b'Q \ r \ n注释管道计时信息：\ r \ nTokenizerAnnotator： 0.0秒。\ r \ nWordsToSentencesAnnotator：0.0秒。\ r \ nPOSTaggerAnnotator：0.0秒。\ r \ nMorphaAnnotator：0.1秒。\ r \ n \ nNNERCombinerAnnotator：0.4秒。\ r \ nTOTAL：0.6秒。在606.1处获得337令牌令牌/秒。\ r \ n管道设置：0.0秒。\ r \ n总时间 StanfordCoreNLP管道：138.7秒。\ r \ n'

当我得到这样的东西时：

b'contusion of knee \ r \ nSentence＃1（3个令牌）：\ r \ nContusion of knee \ r \ n [Text = Contusion CharacterOffsetBegin = 0 CharacterOffsetEnd = 9 PartOfSpeech = NN Lemma = contusion NamedEntityTag = O] [Text = of CharacterOffsetBegin = 10 CharacterOffsetEnd = 12 PartOfSpeech = IN Lemma = of NamedEntityTag = O] [Text = knee CharacterOffsetBegin = 13 CharacterOffsetEnd = 17 PartOfSpeech = NN Lemma = knee NamedEntityTag = O] \ r'

Answer 1

一个迟来的答案，寻找人们遇到此特定错误消息的问题：它表示您尝试在Python 3中使用Python 2样式流重定向，或者在Python 2中from __future__ import print_function生效.X。

而不是写print >> sys.stderr, expression，而是必须写print(expression, file=sys.stderr)。

What does "SyntaxError: Missing parentheses in call to 'print'" mean in Python?提供了有关此更改的更多信息。

＆gt;＆gt;：'builtin_function_or_method'和'_io.TextIOWrapper'

1 个答案: