code: def test_sequence_builders(self):
      tokenizer = self.tokenizer_class(
          self.vocab_file,
          self.word_shape_file,
          self.word_pronunciation_file,
      )
  
      text = tokenizer.encode("你好", add_special_tokens=False)
      text_2 = tokenizer.encode("你是谁", add_special_tokens=False)
  
      encoded_sentence = tokenizer.build_inputs_with_special_tokens(
          text
      )
      encoded_pair = tokenizer.build_inputs_with_special_tokens(
          text, text_2
      )
  
      assert encoded_sentence == [1] + text + [2]
      assert encoded_pair == [1] + text + [2] + text_2 + [2]
  
imports: import json
  import os
  import unittest
  from transformers.models.roc_bert.tokenization_roc_bert import VOCAB_FILES_NAMES, RoCBertBasicTokenizer, RoCBertTokenizer, RoCBertWordpieceTokenizer, _is_control, _is_punctuation, _is_whitespace
  from transformers.testing_utils import require_tokenizers, slow
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
label_desc: Use image node_id 19 for calling the BertTokenizationTest obj's underlying member method code with example usage: obj.test_sequence_builders() without return types