code: def test_max_length(self):
      tokenizer = self.siglip_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 tempfile
  import unittest
  from transformers import SPIECE_UNDERLINE, AddedToken, BatchEncoding, SiglipTokenizer
  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 11 for calling the SiglipTokenizationTest obj's underlying member method code with example usage: obj.test_max_length() without return types