code: def test_save_load_pretrained_additional_features(self):
      processor = LayoutLMv2Processor(
          feature_extractor=self.get_feature_extractor(),
          tokenizer=self.get_tokenizer(),
      )
      processor.save_pretrained(self.tmpdirname)
  
      # slow tokenizer
      tokenizer_add_kwargs = self.get_tokenizer(
          bos_token="(BOS)", eos_token="(EOS)"
      )
      feature_extractor_add_kwargs = self.get_feature_extractor(
          do_resize=False, size=30
      )
  
      processor = LayoutLMv2Processor.from_pretrained(
          self.tmpdirname,
          use_fast=False,
          bos_token="(BOS)",
          eos_token="(EOS)",
          do_resize=False,
          size=30,
      )
  
      self.assertEqual(
          processor.tokenizer.get_vocab(),
          tokenizer_add_kwargs.get_vocab(),
      )
      self.assertIsInstance(processor.tokenizer, LayoutLMv2Tokenizer)
  
      self.assertEqual(
          processor.feature_extractor.to_json_string(),
          feature_extractor_add_kwargs.to_json_string(),
      )
      self.assertIsInstance(
          processor.feature_extractor, LayoutLMv2FeatureExtractor
      )
  
      # fast tokenizer
      tokenizer_add_kwargs = self.get_rust_tokenizer(
          bos_token="(BOS)", eos_token="(EOS)"
      )
      feature_extractor_add_kwargs = self.get_feature_extractor(
          do_resize=False, size=30
      )
  
      processor = LayoutLMv2Processor.from_pretrained(
          self.tmpdirname,
          bos_token="(BOS)",
          eos_token="(EOS)",
          do_resize=False,
          size=30,
      )
  
      self.assertEqual(
          processor.tokenizer.get_vocab(),
          tokenizer_add_kwargs.get_vocab(),
      )
      self.assertIsInstance(
          processor.tokenizer, LayoutLMv2TokenizerFast
      )
  
      self.assertEqual(
          processor.feature_extractor.to_json_string(),
          feature_extractor_add_kwargs.to_json_string(),
      )
      self.assertIsInstance(
          processor.feature_extractor, LayoutLMv2FeatureExtractor
      )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from typing import List
  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 8 for calling the LayoutLMv2ProcessorTest obj's underlying member method code with example usage: obj.test_save_load_pretrained_additional_features() without return types