code: def test_fast_and_slow_same_result(self):
      src_text = "<pad> Today is <unk> nice day </s>"
      tgt_ids = [0, 1960, 19, 2, 1245, 239, 1]
      tgt_text = "<pad> Today is<unk> nice day</s>"
  
      fast_ids = self.t5_base_tokenizer_fast(
          src_text, add_special_tokens=False
      ).input_ids
      slow_ids = self.t5_base_tokenizer(
          src_text, add_special_tokens=False
      ).input_ids
      self.assertEqual(tgt_ids, fast_ids)
      self.assertEqual(tgt_ids, slow_ids)
  
      fast_text = self.t5_base_tokenizer_fast.decode(fast_ids)
      slow_text = self.t5_base_tokenizer.decode(fast_ids)
      self.assertEqual(tgt_text, fast_text)
      self.assertEqual(tgt_text, slow_text)
  
imports: import json
  import os
  import tempfile
  import unittest
  from transformers import SPIECE_UNDERLINE, AddedToken, BatchEncoding, T5Tokenizer, T5TokenizerFast
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, 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 18 for calling the T5TokenizationTest obj's underlying member method code with example usage: obj.test_fast_and_slow_same_result() without return types