docstr: 进行基本的空白字符清理和分割
  Arg :
      text (String) : 所需拆分文本
  Return :
      tokens (List) : 分词完的结果
docstr_tok: ["\u8fdb\u884c\u57fa\u672c\u7684\u7a7a\u767d\u5b57\u7b26\u6e05\u7406\u548c\u5206\u5272","Arg",":","text","(","String",")",":","\u6240\u9700\u62c6\u5206\u6587\u672c","Return",":","tokens","(","List",")",":","\u5206\u8bcd\u5b8c\u7684\u7ed3\u679c"]
code: def _whitespace_tokenize(self, text):
      """
      进行基本的空白字符清理和分割
      Arg :
          text (String) : 所需拆分文本
      Return :
          tokens (List) : 分词完的结果
      """
      text = text.strip()
      if not text:
          return []
      tokens = text.split()
      return tokens
  
file_path: DeepKE/src/deepke/relation_extraction/standard/tools/serializer.py
imports: import re
  import unicodedata
  import jieba
  import logging
  from typing import List
label_desc: Use image node_id 7 for calling the Serializer obj's underlying member method code with example usage: obj._whitespace_tokenize(text) and returns: tokens, list