code: def get_images(self):
      # we verify our implementation on 2 document images from the DocVQA dataset
      from datasets import load_dataset
  
      ds = load_dataset(
          "hf-internal-testing/fixtures_docvqa", split="test"
      )
  
      image_1 = Image.open(ds[0]["file"]).convert("RGB")
      image_2 = Image.open(ds[1]["file"]).convert("RGB")
  
      return image_1, image_2
  
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.layoutlmv3 import LayoutLMv3Tokenizer, LayoutLMv3TokenizerFast
  from transformers.models.layoutlmv3.tokenization_layoutlmv3 import VOCAB_FILES_NAMES
  from transformers.testing_utils import require_pytesseract, require_tokenizers, require_torch, slow
  from transformers.utils import FEATURE_EXTRACTOR_NAME, cached_property, is_pytesseract_available
label_desc: Use image node_id 1 for calling the LayoutLMv3ProcessorIntegrationTests obj's underlying member method code with example usage: obj.get_images() and returns: image_1,  image_2