code: def test_max_length_integration(self):
      tokenizer = self.canine_tokenizer
      tgt_text = [
          "What's the weater?",
          "It's about 25 degrees.",
      ]
      targets = tokenizer(
          text_target=tgt_text,
          max_length=32,
          padding="max_length",
          truncation=True,
          return_tensors="pt",
      )
      self.assertEqual(32, targets["input_ids"].shape[1])
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from transformers import BatchEncoding, CanineTokenizer
  from transformers.testing_utils import require_tokenizers, require_torch
  from transformers.tokenization_utils import AddedToken
  from transformers.utils import cached_property
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 6 for calling the CanineTokenizationTest obj's underlying member method code with example usage: obj.test_max_length_integration() without return types