code: def get_question_words_and_boxes(self):
      question = "what's his name?"
      words = ["a", "weirdly", "test"]
      boxes = [
          [423, 237, 440, 251],
          [427, 272, 441, 287],
          [419, 115, 437, 129],
      ]
  
      return question, words, boxes
  
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 3 for calling the LayoutXLMTokenizationTest obj's underlying member method code with example usage: obj.get_question_words_and_boxes() and returns: question,  words,  boxes