code: def test_get_sentinel_tokens_for_fasttokenizer(self):
      tokenizer = T5TokenizerFast(SAMPLE_VOCAB, extra_ids=10)
      sentinel_tokens = tokenizer.get_sentinel_tokens()
      self.assertEqual(len(sentinel_tokens), 10)
      self.assertListEqual(
          sorted(sentinel_tokens),
          sorted([f"<extra_id_{str(i)}>" for i in range(0, 10)]),
      )
      self.assertTrue(
          [
              re.search(r"<extra_id_\d+>", token) is not None
              for token in sentinel_tokens
          ]
      )
  
imports: import json
  import os
  import re
  import tempfile
  import unittest
  from transformers import SPIECE_UNDERLINE, AddedToken, BatchEncoding, T5Tokenizer, T5TokenizerFast
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_seqio, require_tokenizers, slow
  from transformers.utils import cached_property, is_tf_available, is_torch_available
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 25 for calling the T5TokenizationTest obj's underlying member method code with example usage: obj.test_get_sentinel_tokens_for_fasttokenizer() without return types