code: def test_outputs_not_longer_than_maxlen(self):
      tokenizer = self.t5_base_tokenizer
  
      batch = tokenizer(
          ["I am a small frog" * 1000, "I am a small frog"],
          padding=True,
          truncation=True,
          return_tensors=FRAMEWORK,
      )
      self.assertIsInstance(batch, BatchEncoding)
      # Since T5 does NOT have a max input length,
      # this test should be changed to the following in Transformers v5:
      # self.assertEqual(batch.input_ids.shape, (2, 8001))
      self.assertEqual(batch.input_ids.shape, (2, 512))
  
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 15 for calling the T5TokenizationTest obj's underlying member method code with example usage: obj.test_outputs_not_longer_than_maxlen() without return types