code: def get_tokenizers(self):
      slow_tokenizer = LayoutLMv2Tokenizer.from_pretrained(
          "microsoft/layoutlmv2-base-uncased"
      )
      fast_tokenizer = LayoutLMv2TokenizerFast.from_pretrained(
          "microsoft/layoutlmv2-base-uncased"
      )
      return [slow_tokenizer, fast_tokenizer]
  
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.layoutlmv2 import LayoutLMv2Tokenizer, LayoutLMv2TokenizerFast
  from transformers.models.layoutlmv2.tokenization_layoutlmv2 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 2 for calling the LayoutLMv2ProcessorIntegrationTests obj's underlying member method code with example usage: obj.get_tokenizers() and returns: list