docstr: 使用jieba分词
  Args :
      text (String) : 所需拆分文本
      never_split (List) : 不拆分的词
  Return :
      tokens (List) : 拆分完的结果
docstr_tok: ["\u4f7f\u7528jieba\u5206\u8bcd","Args",":","text","(","String",")",":","\u6240\u9700\u62c6\u5206\u6587\u672c","never_split","(","List",")",":","\u4e0d\u62c6\u5206\u7684\u8bcd","Return",":","tokens","(","List",")",":","\u62c6\u5206\u5b8c\u7684\u7ed3\u679c"]
code: def _use_jieba_cut(self, text, never_split):
      """
      使用jieba分词
      Args :
          text (String) : 所需拆分文本
          never_split (List) : 不拆分的词
      Return :
          tokens (List) : 拆分完的结果
      """
      for word in never_split:
          jieba.suggest_freq(word, True)
      tokens = jieba.lcut(text)
      if self.do_lower_case:
          tokens = [i.lower() for i in tokens]
      try:
          while True:
              tokens.remove(" ")
      except:
          return tokens
  
file_path: DeepKE/src/deepke/attribution_extraction/standard/tools/serializer.py
imports: import re
  import unicodedata
  import jieba
  import logging
  from typing import List
label_desc: Use image node_id 4 for calling the Serializer obj's underlying member method code with example usage: obj._use_jieba_cut(text, never_split) and returns: tokens