code: def test_replace_dunder_methods_extra_kwargs():
      class LoaderSubclass(DataLoader):
          def __init__(self, dataset, *args, batch_size=10, **kwargs):
              super().__init__(
                  dataset, *args, batch_size=batch_size, **kwargs
              )
  
      with _replace_dunder_methods(DataLoader, "dataset"):
          dataloader = LoaderSubclass(range(10))
  
      assert dataloader.__pl_saved_args == (range(10),)
      assert dataloader.__pl_saved_kwargs == {}
      assert dataloader.__pl_saved_arg_names == ("dataset",)
      assert dataloader.__pl_saved_default_kwargs == {"batch_size": 10}
      assert dataloader.__dataset == range(10)
  
imports: import contextlib
  import os
  import random
  from unittest import mock
  from unittest.mock import Mock
  import lightning.fabric
  import numpy
  import pytest
  import torch
  from lightning.fabric.utilities.data import AttributeDict, _get_dataloader_init_args_and_kwargs, _replace_dunder_methods, _replace_value_in_saved_args, _set_sampler_epoch, _update_dataloader, _WrapAttrTag, has_iterable_dataset, has_len, suggested_max_num_workers
  from lightning.fabric.utilities.exceptions import MisconfigurationException
  from lightning_utilities.test.warning import no_warning_call
  from torch import Tensor
  from torch.utils.data import BatchSampler, DataLoader, RandomSampler
  from tests_fabric.helpers.models import RandomDataset, RandomIterableDataset
label_desc: Use image node_id 5 for calling a global function with example usage: test_replace_dunder_methods_extra_kwargs() without return types