code: def test_pretrained_model_lists(self):
      # We should have at least one default checkpoint for each tokenizer
      # We should specify the max input length as well (used in some part to list the pretrained checkpoints)
      self.assertGreaterEqual(
          len(self.tokenizer_class.pretrained_vocab_files_map), 1
      )
      self.assertGreaterEqual(
          len(
              list(
                  self.tokenizer_class.pretrained_vocab_files_map.values()
              )[0]
          ),
          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 18 for calling the SiglipTokenizationTest obj's underlying member method code with example usage: obj.test_pretrained_model_lists() without return types