Python >；的操作数类型不受支持>；：'；内置函数或方法'；和'_io.TextIOWrapper'；

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

我遇到了这个错误（我正在解析很多术语，这是我第一次遇到这个错误）：

>>不支持的操作数类型：“内置函数”或“方法”和“\u io.TextIOWrapper”

有什么想法吗

编辑：printint传入变量我有：

b'Q\r\n注释管道计时信息：\r\n注释器： 0.0秒。\r\n注释器：0.0秒。\r\n注释器：0.0秒。\r\n注释器：0.1秒。\r\n注释器：0.4秒。\r\n注释器：0.6秒。对于606.1的337个代币 令牌/秒。\r\n管道设置：0.0秒。\r\n完成的总时间 StanfordCoreNLP管道：138.7秒。\r\n'

当我应该得到这样的东西时：

b'膝盖挫伤\r\n内容#1（3个标记）：\r\n讨论 膝盖\r\n[Text=挫伤CharacterOffsetBegin=0 CharacterOffsetEnd=9 PartOfSpeech=NN引理=挫伤名称DentityTag=O][Text=of CharacterOffsetBegin=10 CharacterOffsetEnd=12 PartOfSpeech=引理中=的 NamedEntityTag=O][Text=knee CharacterOffsetBegin=13 CharacterOffsetEnd=17 PartOfSpeech=NN引理=膝关节名称DentityTag=O]\r'

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一个姗姗来迟的答案寻找人们遇到这个特定错误消息的问题：它表示您正试图在Python3中使用Python2样式的流重定向，或者Python2.x中的

from\uuuuuuuuuuuuuuuuuuu导入print\u函数

有效

与其写

print>>sys.stderr，expression

，不如写

print（expression，file=sys.stderr）

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提供有关此更改的详细信息。

错误发生在哪一行？我有这样一条信息：“注释管道计时信息…”