code: def test_sequence_builders(self):
      tokenizer = self.tokenizer_class.from_pretrained(
          "microsoft/layoutxlm-base"
      )
  
      question, words, boxes = self.get_question_words_and_boxes()
  
      text = tokenizer.encode(
          question.split(),
          boxes=[
              tokenizer.pad_token_box
              for _ in range(len(question.split()))
          ],
          add_special_tokens=False,
      )
      text_2 = tokenizer.encode(
          words, boxes=boxes, add_special_tokens=False
      )
  
      encoded_pair = tokenizer.build_inputs_with_special_tokens(
          text, text_2
      )
  
      assert encoded_pair == [0] + text + [2] + [2] + text_2 + [2]
  
imports: import inspect
  import shutil
  import tempfile
  import unittest
  from typing import List
  from transformers import AddedToken, LayoutXLMTokenizerFast, SpecialTokensMixin, is_tf_available, is_torch_available, logging
  from transformers.models.layoutxlm.tokenization_layoutxlm import LayoutXLMTokenizer
  from transformers.testing_utils import get_tests_dir, is_pt_tf_cross_test, require_pandas, require_scatter, require_sentencepiece, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import SMALL_TRAINING_CORPUS, TokenizerTesterMixin, filter_non_english, merge_model_tokenizer_mappings
label_desc: Use image node_id 8 for calling the LayoutXLMTokenizationTest obj's underlying member method code with example usage: obj.test_sequence_builders() without return types