code: def test_process_wordpiece_token_sequence():
      expected_adjusted_wordpiece_tokens = [
          "<w>Mr",
          "<w>.",
          "<w>I",
          "mme",
          "lt",
          "<w>chose",
          "<w>to",
          "<w>focus",
          "<w>on",
          "<w>the",
          "<w>in",
          "com",
          "p",
          "re",
          "hen",
          "si",
          "bility",
          "<w>of",
          "<w>accounting",
          "<w>rules",
          "<w>.",
      ]
      original_wordpiece_tokens = [
          "Mr",
          ".",
          "I",
          "##mme",
          "##lt",
          "chose",
          "to",
          "focus",
          "on",
          "the",
          "in",
          "##com",
          "##p",
          "##re",
          "##hen",
          "##si",
          "##bility",
          "of",
          "accounting",
          "rules",
          ".",
      ]
      adjusted_wordpiece_tokens = tu.process_wordpiece_tokens(
          original_wordpiece_tokens
      )
      assert (
          adjusted_wordpiece_tokens
          == expected_adjusted_wordpiece_tokens
      )
  
file_path: jiant/tests/utils/test_tokenization_normalization.py
imports: import pytest
  import jiant.utils.tokenization_normalization
  import jiant.utils.tokenization_utils
  from transformers import AlbertTokenizer
  from transformers import BertTokenizer
  from transformers import DebertaV2Tokenizer
  from transformers import RobertaTokenizer
  from transformers import XLMTokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: test_process_wordpiece_token_sequence() without return types