不支持的操作類型爲>>：「builtin_function_or_method」和「_io.TextIOWrapper」

Question

這是我的代碼：

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 

而且我得到這個錯誤（我解析了很多方面的它是第一次，我已經得到了錯誤）：

不支持的操作類型爲>>：「builtin_function_or_method」和「_io.TextIOWrapper」

什麼想法？

編輯：printint傳入變量i已經得到了這樣的：

b'Q \ r \ nAnnotation管道定時信息：\ r \ nTokenizerAnnotator： 0.0秒\ r \ nWordsToSentencesAnnotator：0.0秒\。 r \ nPagaggerAnnotator：0.0秒。\ r \ nMorphaAnnotator：0.1秒\ r \ nNERCombinerAnnotator：0.4秒。\ r \ n總計：0.6秒。在606.1 令牌337級的令牌/秒\ r \ nPipeline設置：0.0秒\ r \ n總時間 StanfordCoreNLP管道：138.7秒\ r \ n」

時，我應該得到這樣的事情。 ：

b'Contusion膝關節\ r \ nSentence＃1（3個令牌）：\ r \ 膝蓋\ r \ n [文本的nContusion =挫傷CharacterOffsetBegin = 0 CharacterOffsetEnd = 9 PartOfSpeech = NN引理=挫傷NamedEntityTag = O] [Text = CharacterOffsetBegin = 10 CharacterOffsetEnd = 12 PartOfSpeech = IN引理= NamedEntityTag = O] [Text =膝蓋CharacterOffsetBegin = 13 CharacterOffsetEnd = 17 PartOfSpeech = NN引理=膝蓋NamedEntityTag = O] \ r」

Answer 1

遲來的答案尋找其中的鄉親紛紛創出此特定錯誤消息的問題：它表明你試圖在Python 3中使用Python 2風格的流重定向，或者在Python 2.x中使用from __future__ import print_function。

而不是寫print >> sys.stderr, expression，而是寫print(expression, file=sys.stderr)而不是。

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