class_docstr: Constructs a BasicTokenizer that will run basic tokenization (punctuation splitting, lower casing, etc.).
  
  Args:
      do_lower_case (`bool`, *optional*, defaults to `True`):
          Whether or not to lowercase the input when tokenizing.
      never_split (`Iterable`, *optional*):
          Collection of tokens which will never be split during tokenization. Only has an effect when
          `do_basic_tokenize=True`
      tokenize_chinese_chars (`bool`, *optional*, defaults to `True`):
          Whether or not to tokenize Chinese characters.
  
          This should likely be deactivated for Japanese (see this
          [issue](https://github.com/huggingface/transformers/issues/328)).
      strip_accents (`bool`, *optional*):
          Whether or not to strip all accents. If this option is not specified, then it will be determined by the
          value for `lowercase` (as in the original BERT).
      do_split_on_punc (`bool`, *optional*, defaults to `True`):
          In some instances we want to skip the basic punctuation splitting so that later tokenization can capture
          the full context of the words, such as contractions.
docstr: Adds whitespace around any CJK character.
docstr_tok: ["Adds","whitespace","around","any","CJK","character","."]
code: def _tokenize_chinese_chars(self, text):
      """Adds whitespace around any CJK character."""
      output = []
      for char in text:
          cp = ord(char)
          if self._is_chinese_char(cp):
              output.append(" ")
              output.append(char)
              output.append(" ")
          else:
              output.append(char)
      return "".join(output)
  
imports: import collections
  import os
  import unicodedata
  from typing import List, Optional, Tuple
  from ...tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
  from ...utils import logging
label_desc: Use image node_id 5 for calling the BasicTokenizer obj's underlying member method code with example usage: obj._tokenize_chinese_chars(text) and returns: str