class_docstr: Bert Like Tokenizer, ref: https://github.com/CyberZHG/keras-bert/blob/master/keras_bert/tokenizer.py
class_docstr_tok: ["Bert","Like","Tokenizer",",","ref",":","https",":","\/\/github.com\/CyberZHG\/keras-bert\/blob\/master\/keras_bert\/tokenizer.py"]
code: def _is_cjk_character(ch: str) -> bool:
      code = ord(ch)
      return (
          0x4E00 <= code <= 0x9FFF
          or 0x3400 <= code <= 0x4DBF
          or 0x20000 <= code <= 0x2A6DF
          or 0x2A700 <= code <= 0x2B73F
          or 0x2B740 <= code <= 0x2B81F
          or 0x2B820 <= code <= 0x2CEAF
          or 0xF900 <= code <= 0xFAFF
          or 0x2F800 <= code <= 0x2FA1F
      )
  
file_path: Kashgari/kashgari/tokenizers/bert_tokenizer.py
imports: import codecs
  import unicodedata
  from typing import List, Optional, Dict
  from kashgari.tokenizers.base_tokenizer import Tokenizer
label_desc: Use image node_id 7 for calling the BertTokenizer obj's underlying member method code with example usage: obj._is_cjk_character(ch) and returns: unknown