code: def get_question_words_and_boxes_batch(self):
      questions = ["what's his name?", "how is he called?"]
      words = [["a", "weirdly", "test"], ["what", "a", "laif", "gastn"]]
      boxes = [
          [
              [423, 237, 440, 251],
              [427, 272, 441, 287],
              [419, 115, 437, 129],
          ],
          [
              [256, 38, 330, 58],
              [256, 38, 330, 58],
              [336, 42, 353, 57],
              [34, 42, 66, 69],
          ],
      ]
  
      return questions, 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 4 for calling the LayoutXLMTokenizationTest obj's underlying member method code with example usage: obj.get_question_words_and_boxes_batch() and returns: questions,  words,  boxes