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).
code: def __init__(
      self,
      do_lower_case=True,
      never_split=None,
      tokenize_chinese_chars=True,
      strip_accents=None,
  ):
      if never_split is None:
          never_split = []
      self.do_lower_case = do_lower_case
      self.never_split = set(never_split)
      self.tokenize_chinese_chars = tokenize_chinese_chars
      self.strip_accents = strip_accents
  
imports: import json
  import os
  import re
  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 1 to create a new BasicTokenizer object from inherited base classes: object with example: obj = BasicTokenizer(do_lower_case, never_split, tokenize_chinese_chars, strip_accents)