code: def test_pretrained_model_lists(self):
      # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
      # any sequence length constraints. This test of the parent class will fail since it relies on the
      # maximum sequence length of the positoonal embeddings.
      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,
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/bloom/test_tokenization_bloom.py
imports: import unittest
  from datasets import load_dataset
  from transformers import BloomTokenizerFast
  from transformers.testing_utils import require_tokenizers
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 6 for calling the BloomTokenizationTest obj's underlying member method code with example usage: obj.test_pretrained_model_lists() without return types