code: def test_tokenizer_identifier_with_correct_config(self):
      for tokenizer_class in [
          BertTokenizer,
          BertTokenizerFast,
          AutoTokenizer,
      ]:
          tokenizer = tokenizer_class.from_pretrained(
              "wietsedv/bert-base-dutch-cased"
          )
          self.assertIsInstance(
              tokenizer, (BertTokenizer, BertTokenizerFast)
          )
  
          if isinstance(tokenizer, BertTokenizer):
              self.assertEqual(
                  tokenizer.basic_tokenizer.do_lower_case, False
              )
          else:
              self.assertEqual(tokenizer.do_lower_case, False)
  
          self.assertEqual(tokenizer.model_max_length, 512)
  
imports: import os
  import shutil
  import sys
  import tempfile
  import unittest
  from pathlib import Path
  import pytest
  from transformers import BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, AutoTokenizer, BertConfig, BertTokenizer, BertTokenizerFast, CTRLTokenizer, GPT2Tokenizer, GPT2TokenizerFast, PreTrainedTokenizerFast, RobertaTokenizer, RobertaTokenizerFast, is_tokenizers_available
  from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
  from transformers.models.auto.tokenization_auto import TOKENIZER_MAPPING, get_tokenizer_config, tokenizer_class_from_name
  from transformers.models.roberta.configuration_roberta import RobertaConfig
  from transformers.testing_utils import DUMMY_DIFF_TOKENIZER_IDENTIFIER, DUMMY_UNKNOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, RequestCounter, require_tokenizers, slow
  from test_module.custom_configuration import CustomConfig
  from test_module.custom_tokenization import CustomTokenizer
label_desc: Use image node_id 8 for calling the AutoTokenizerTest obj's underlying member method code with example usage: obj.test_tokenizer_identifier_with_correct_config() without return types