code: def test_prepare_batch_integration(self):
      tokenizer = self.t5_base_tokenizer
      src_text = [
          "A long paragraph for summarization.",
          "Another paragraph for summarization.",
      ]
      expected_src_tokens = [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]  # fmt: skip
      batch = tokenizer(
          src_text, padding=True, return_tensors=FRAMEWORK
      )
      self.assertIsInstance(batch, BatchEncoding)
  
      if FRAMEWORK != "jax":
          result = list(batch.input_ids.numpy()[0])
      else:
          result = list(batch.input_ids.tolist()[0])
  
      self.assertListEqual(expected_src_tokens, result)
  
      self.assertEqual((2, 37), batch.input_ids.shape)
      self.assertEqual((2, 37), batch.attention_mask.shape)
  
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 7 for calling the ByT5TokenizationTest obj's underlying member method code with example usage: obj.test_prepare_batch_integration() without return types