code: def test_large_mask_tokens(self):
      tokenizer = self._large_tokenizer
      # <mask_1> masks whole sentence while <mask_2> masks single word
      raw_input_str = (
          "<mask_1> To ensure a <mask_2> flow of bank resolutions."
      )
      desired_result = [
          2,
          413,
          615,
          114,
          3,
          1971,
          113,
          1679,
          10710,
          107,
          1,
      ]
      ids = tokenizer([raw_input_str], return_tensors=None).input_ids[0]
      self.assertListEqual(desired_result, ids)
  
imports: import unittest
  from transformers import PegasusTokenizer, PegasusTokenizerFast
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
  from transformers.utils import cached_property
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 9 for calling the PegasusTokenizationTest obj's underlying member method code with example usage: obj.test_large_mask_tokens() without return types