code: def test_max_length_integration(self):
      tokenizer = self.t5_base_tokenizer
      tgt_text = [
          "Summary of the text.",
          "Another summary.",
      ]
      targets = tokenizer(
          text_target=tgt_text,
          max_length=32,
          padding="max_length",
          truncation=True,
          return_tensors=FRAMEWORK,
      )
      self.assertEqual(32, targets["input_ids"].shape[1])
  
imports: import json
  import os
  import re
  import shutil
  import tempfile
  import unittest
  from typing import Tuple
  from transformers import AddedToken, BatchEncoding, ByT5Tokenizer
  from transformers.utils import cached_property, is_tf_available, is_torch_available
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 9 for calling the ByT5TokenizationTest obj's underlying member method code with example usage: obj.test_max_length_integration() without return types