code: def test_process_bytebpe_token_sequence():
      expected_adjusted_bytebpe_tokens = [
          "Mr",
          ".",
          "<w>Imm",
          "elt",
          "<w>chose",
          "<w>to",
          "<w>focus",
          "<w>on",
          "<w>the",
          "<w>incomp",
          "rehens",
          "ibility",
          "<w>of",
          "<w>accounting",
          "<w>rules",
          ".",
      ]
      original_bytebpe_tokens = [
          "Mr",
          ".",
          "ĠImm",
          "elt",
          "Ġchose",
          "Ġto",
          "Ġfocus",
          "Ġon",
          "Ġthe",
          "Ġincomp",
          "rehens",
          "ibility",
          "Ġof",
          "Ġaccounting",
          "Ġrules",
          ".",
      ]
      adjusted_bytebpe_tokens = tu.process_bytebpe_tokens(
          original_bytebpe_tokens
      )
      assert adjusted_bytebpe_tokens == expected_adjusted_bytebpe_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 3 for calling a global function with example usage: test_process_bytebpe_token_sequence() without return types