code: def test_process_sentencepiece_token_sequence():
      expected_adjusted_sentencepiece_tokens = [
          "<w>Mr",
          ".",
          "<w>I",
          "m",
          "mel",
          "t",
          "<w>chose",
          "<w>to",
          "<w>focus",
          "<w>on",
          "<w>the",
          "<w>in",
          "comp",
          "re",
          "hen",
          "s",
          "ibility",
          "<w>of",
          "<w>accounting",
          "<w>rules",
          ".",
      ]
      original_sentencepiece_tokens = [
          "▁Mr",
          ".",
          "▁I",
          "m",
          "mel",
          "t",
          "▁chose",
          "▁to",
          "▁focus",
          "▁on",
          "▁the",
          "▁in",
          "comp",
          "re",
          "hen",
          "s",
          "ibility",
          "▁of",
          "▁accounting",
          "▁rules",
          ".",
      ]
      adjusted_sentencepiece_tokens = tu.process_sentencepiece_tokens(
          original_sentencepiece_tokens
      )
      assert (
          adjusted_sentencepiece_tokens
          == expected_adjusted_sentencepiece_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 2 for calling a global function with example usage: test_process_sentencepiece_token_sequence() without return types