code: def test_sequence_builders(self):
      tokenizer = self.tokenizer_class.from_pretrained(
          "bert-base-uncased"
      )
  
      text = tokenizer.encode(
          "sequence builders", add_special_tokens=False
      )
      text_2 = tokenizer.encode(
          "multi-sequence build", 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 == [101] + text + [102]
      assert encoded_pair == [101] + text + [102] + text_2 + [102]
  
imports: import os
  import unittest
  from transformers import BertTokenizerFast
  from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES, BasicTokenizer, BertTokenizer, WordpieceTokenizer, _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