code: def test_replace_dunder_methods_dataloader(
      cls, args, kwargs, arg_names, dataset, checked_values
  ):
      with _replace_dunder_methods(DataLoader, "dataset"):
          dataloader = cls(*args, **kwargs)
  
      assert dataloader.__pl_saved_args == args
      assert dataloader.__pl_saved_kwargs == kwargs
      assert dataloader.__pl_saved_arg_names == arg_names
      assert dataloader.__pl_saved_default_kwargs == {}
      assert dataloader.__dataset == dataset
  
      assert dataloader.dataset == dataset
  
      for key, value in checked_values.items():
          dataloader_value = getattr(dataloader, key)
          if isinstance(dataloader_value, Tensor):
              assert dataloader_value is value
          else:
              assert dataloader_value == value
  
      dataloader = _update_dataloader(dataloader, dataloader.sampler)
  
      assert isinstance(dataloader, cls)
      assert not hasattr(dataloader, "__pl_saved_kwargs")
      assert not hasattr(dataloader, "__pl_saved_arg_names")
      assert not hasattr(dataloader, "__pl_saved_args")
      assert not hasattr(dataloader, "__pl_saved_default_kwargs")
      assert not hasattr(dataloader, "__dataset")
  
      assert dataloader.dataset == dataset
  
      for key, value in checked_values.items():
          dataloader_value = getattr(dataloader, key)
          if isinstance(dataloader_value, Tensor):
              assert dataloader_value is value
          else:
              assert dataloader_value == value
  
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 4 for calling a global function with example usage: test_replace_dunder_methods_dataloader(cls, args, kwargs, arg_names, dataset, checked_values) without return types