code: def assert_dump_and_restore(
      self,
      be_original: BatchEncoding,
      equal_op: Optional[Callable] = None,
  ):
      batch_encoding_str = pickle.dumps(be_original)
      self.assertIsNotNone(batch_encoding_str)
  
      be_restored = pickle.loads(batch_encoding_str)
  
      # Ensure is_fast is correctly restored
      self.assertEqual(be_restored.is_fast, be_original.is_fast)
  
      # Ensure encodings are potentially correctly restored
      if be_original.is_fast:
          self.assertIsNotNone(be_restored.encodings)
      else:
          self.assertIsNone(be_restored.encodings)
  
      # Ensure the keys are the same
      for original_v, restored_v in zip(
          be_original.values(), be_restored.values()
      ):
          if equal_op:
              self.assertTrue(equal_op(restored_v, original_v))
          else:
              self.assertEqual(restored_v, original_v)
  
imports: import os
  import pickle
  import tempfile
  import unittest
  from typing import Callable, Optional
  import numpy
  from transformers import PreTrainedTokenizerFast
  from transformers import BatchEncoding, BertTokenizer, BertTokenizerFast, PreTrainedTokenizer, TensorType, TokenSpan, is_tokenizers_available
  from transformers.models.gpt2.tokenization_gpt2 import GPT2Tokenizer
  from transformers.testing_utils import CaptureStderr, require_flax, require_tf, require_tokenizers, require_torch, slow
label_desc: Use image node_id 2 for calling the TokenizerUtilsTest obj's underlying member method code with example usage: obj.assert_dump_and_restore(be_original, equal_op) without return types