code: def test_with_more_robust_tokenizer(dataset_with_unknown_tokens):
      # Arrange
      tokenizer = AutoTokenizer.from_pretrained("gpt2")
      check = UnknownTokens(tokenizer=tokenizer)
  
      # Act
      result = check.run(dataset=dataset_with_unknown_tokens)
      conditions_decisions = check.conditions_decision(result)
  
      # Assert
      assert_that(
          result.value,
          has_entries(
              {
                  "unknown_word_ratio": equal_to(0),
                  "unknown_word_details": instance_of(dict),
              }
          ),
      )
  
      assert_that(
          len(result.value["unknown_word_details"]), equal_to(0)
      )
  
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 8 for calling a global function with example usage: test_with_more_robust_tokenizer(dataset_with_unknown_tokens) without return types