code: def test_compare_fast_to_slow_tokenizer(dataset_with_unknown_tokens):
      # Arrange
      check = UnknownTokens()
      check_slow = UnknownTokens(
          tokenizer=BertTokenizer.from_pretrained("bert-base-uncased")
      )
  
      # Act
      result = check.run(dataset=dataset_with_unknown_tokens)
      result_slow = check_slow.run(dataset=dataset_with_unknown_tokens)
  
      # Assert
      assert_that(result.value, equal_to(result_slow.value))
  
file_path: deepchecks/tests/nlp/checks/data_integrity/unknown_tokens_test.py
imports: import pytest
  from hamcrest import *
  from transformers import AutoTokenizer, BertTokenizer
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.nlp.checks import UnknownTokens
  from deepchecks.nlp.text_data import TextData
  from deepchecks.utils.strings import format_percent
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 6 for calling a global function with example usage: test_compare_fast_to_slow_tokenizer(dataset_with_unknown_tokens) without return types