code: def test_encode_add_special_tokens(self, roberta_files):
      with pytest.deprecated_call():
          tokenizer = Tokenizer(
              BPE(roberta_files["vocab"], roberta_files["merges"])
          )
      tokenizer.add_special_tokens(["<s>", "</s>"])
  
      tokenizer.pre_tokenizer = ByteLevel(add_prefix_space=True)
      tokenizer.post_processor = RobertaProcessing(
          ("</s>", tokenizer.token_to_id("</s>")),
          ("<s>", tokenizer.token_to_id("<s>")),
      )
  
      # Can encode with special tokens
      output_with_specials = tokenizer.encode(
          "My name is John", add_special_tokens=True
      )
      assert output_with_specials.tokens == [
          "<s>",
          "ĠMy",
          "Ġname",
          "Ġis",
          "ĠJohn",
          "</s>",
      ]
  
      # Can encode without special tokens
      output_without_specials = tokenizer.encode(
          "My name is John", add_special_tokens=False
      )
      assert output_without_specials.tokens == [
          "ĠMy",
          "Ġname",
          "Ġis",
          "ĠJohn",
      ]
  
imports: import pickle
  import numpy
  import pytest
  from tokenizers import AddedToken, Encoding, Tokenizer
  from tokenizers.implementations import BertWordPieceTokenizer
  from tokenizers.models import BPE, Model, WordPiece, Unigram
  from tokenizers.normalizers import Lowercase
  from tokenizers.pre_tokenizers import ByteLevel
  from tokenizers.processors import BertProcessing, RobertaProcessing
  from ..utils import bert_files, data_dir, multiprocessing_with_parallelism, roberta_files
label_desc: Use image node_id 6 for calling the TestTokenizer obj's underlying member method code with example usage: obj.test_encode_add_special_tokens(roberta_files) without return types