code: def test_tokenizer_as_target_length(self):
      tgt_text = [
          "Summary of the text.",
          "Another summary.",
      ]
      for tokenizer in [
          self.default_tokenizer,
          self.default_tokenizer_fast,
      ]:
          targets = tokenizer(
              text_target=tgt_text,
              max_length=32,
              padding="max_length",
              return_tensors="pt",
          )
          self.assertEqual(32, targets["input_ids"].shape[1])
  
imports: import json
  import os
  import unittest
  from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
  from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
  from transformers.testing_utils import require_tokenizers, require_torch
  from transformers.utils import cached_property
  from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors
label_desc: Use image node_id 9 for calling the TestTokenizationMvp obj's underlying member method code with example usage: obj.test_tokenizer_as_target_length() without return types