code: def test_processor_case_4(self):
      # case 4: visual question answering (inference), apply_ocr=True
  
      image_processor = LayoutLMv2ImageProcessor()
      tokenizers = self.get_tokenizers
      images = self.get_images
  
      for tokenizer in tokenizers:
          processor = LayoutXLMProcessor(
              image_processor=image_processor, tokenizer=tokenizer
          )
  
          # not batched
          question = "What's his name?"
          input_processor = processor(
              images[0], question, return_tensors="pt"
          )
  
          # verify keys
          expected_keys = [
              "attention_mask",
              "bbox",
              "image",
              "input_ids",
          ]
          actual_keys = sorted(input_processor.keys())
          self.assertListEqual(actual_keys, expected_keys)
  
          # verify input_ids
          # this was obtained with Tesseract 4.1.1
          expected_decoding = "<s> What's his name?</s></s> 11:14 to 11:39 a.m 11:39 to 11:44 a.m. 11:44 a.m. to 12:25 p.m. 12:25 to 12:58 p.m. 12:58 to 4:00 p.m. 2:00 to 5:00 p.m. Coffee Break Coffee will be served for men and women in the lobby adjacent to exhibit area. Please move into exhibit area. (Exhibits Open) TRRF GENERAL SESSION (PART |) Presiding: Lee A. Waller TRRF Vice President “Introductory Remarks” Lee A. Waller, TRRF Vice Presi- dent Individual Interviews with TRRF Public Board Members and Sci- entific Advisory Council Mem- bers Conducted by TRRF Treasurer Philip G. Kuehn to get answers which the public refrigerated warehousing industry is looking for. Plus questions from the floor. Dr. Emil M. Mrak, University of Cal- ifornia, Chairman, TRRF Board; Sam R. Cecil, University of Georgia College of Agriculture; Dr. Stanley Charm, Tufts University School of Medicine; Dr. Robert H. Cotton, ITT Continental Baking Company; Dr. Owen Fennema, University of Wis- consin; Dr. Robert E. Hardenburg, USDA. Questions and Answers Exhibits Open Capt. Jack Stoney Room TRRF Scientific Advisory Council Meeting Ballroom Foyer</s>"  # fmt: skip
          decoding = processor.decode(
              input_processor.input_ids.squeeze().tolist()
          )
          self.assertSequenceEqual(decoding, expected_decoding)
  
          # batched
          questions = ["How old is he?", "what's the time"]
          input_processor = processor(
              images,
              questions,
              padding="max_length",
              max_length=20,
              truncation=True,
              return_tensors="pt",
          )
  
          # verify keys
          expected_keys = [
              "attention_mask",
              "bbox",
              "image",
              "input_ids",
          ]
          actual_keys = sorted(input_processor.keys())
          self.assertListEqual(actual_keys, expected_keys)
  
          # verify input_ids
          # this was obtained with Tesseract 4.1.1
          expected_decoding = "<s> what's the time</s></s> 7 ITC Limited REPORT AND ACCOUNTS 2013</s>"
          decoding = processor.decode(
              input_processor.input_ids[1].tolist()
          )
          self.assertSequenceEqual(decoding, expected_decoding)
  
          # verify bbox
          expected_bbox = [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [1000, 1000, 1000, 1000], [1000, 1000, 1000, 1000], [0, 45, 67, 80], [72, 56, 109, 67], [72, 56, 109, 67], [116, 56, 189, 67], [198, 59, 253, 66], [257, 59, 285, 66], [289, 59, 365, 66], [289, 59, 365, 66], [289, 59, 365, 66], [289, 59, 365, 66], [372, 59, 407, 66], [1000, 1000, 1000, 1000]]  # fmt: skip
          self.assertListEqual(
              input_processor.bbox[1].tolist(), expected_bbox
          )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from typing import List
  import numpy
  from transformers import PreTrainedTokenizer, PreTrainedTokenizerBase, PreTrainedTokenizerFast
  from transformers.models.layoutxlm import LayoutXLMTokenizer, LayoutXLMTokenizerFast
  from transformers.testing_utils import require_pytesseract, require_sentencepiece, require_tokenizers, require_torch, slow
  from transformers.utils import FEATURE_EXTRACTOR_NAME, cached_property, is_pytesseract_available
label_desc: Use image node_id 6 for calling the LayoutXLMProcessorIntegrationTests obj's underlying member method code with example usage: obj.test_processor_case_4() without return types