code: def test_spm_converter_bytefallback_warning(self):
      spm_model_file_without_bytefallback = get_tests_dir(
          "fixtures/test_sentencepiece.model"
      )
      spm_model_file_with_bytefallback = get_tests_dir(
          "fixtures/test_sentencepiece_with_bytefallback.model"
      )
  
      original_tokenizer_without_bytefallback = FakeOriginalTokenizer(
          vocab_file=spm_model_file_without_bytefallback
      )
  
      with warnings.catch_warnings(record=True) as w:
          _ = SpmConverter(original_tokenizer_without_bytefallback)
      self.assertEqual(len(w), 0)
  
      original_tokenizer_with_bytefallback = FakeOriginalTokenizer(
          vocab_file=spm_model_file_with_bytefallback
      )
  
      with warnings.catch_warnings(record=True) as w:
          _ = SpmConverter(original_tokenizer_with_bytefallback)
      self.assertEqual(len(w), 1)
      self.assertIn(
          "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
          " which is not implemented in the fast tokenizers.",
          str(w[0].message),
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/utils/test_convert_slow_tokenizer.py
imports: import unittest
  import warnings
  from dataclasses import dataclass
  from transformers.convert_slow_tokenizer import SpmConverter
  from transformers.testing_utils import get_tests_dir
label_desc: Use image node_id 1 for calling the ConvertSlowTokenizerTest obj's underlying member method code with example usage: obj.test_spm_converter_bytefallback_warning() without return types