code: def tokenize(self, text):
      import re
  
      # Remove space between <extra_id_*> <spot> <asoc>
      split_bracket = re.compile(
          r"\s*<extra_id_\d>\s*|\s*<spot>\s*|\s*<asoc>\s*"
      )
  
      if len(split_bracket.split(text)) > 1:
          new_text_list = [split_bracket.split(text)[0]]
          for item in zip(
              split_bracket.findall(text), split_bracket.split(text)[1:]
          ):
              new_text_list += [item[0].strip(), item[1]]
          text = "".join(new_text_list)
      text = text.replace(" ", self._space_token)
      return super().tokenize(text)
  
file_path: DeepKE/src/deepke/name_entity_re/cross/seq2seq/t5_bert_tokenizer.py
imports: import logging
  from typing import Optional, List
  from transformers import BertTokenizer
label_desc: Use image node_id 3 for calling the T5BertTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: super