code: def test_update_dataloader_typerror_custom_exception():
      class BadStandaloneGoodHookImpl(DataLoader):
          def __init__(self, foo, *args, **kwargs):
              self.foo = foo
              # positional conflict with `dataset`
              super().__init__(foo, *args, **kwargs)
  
      dataloader = BadStandaloneGoodHookImpl([1, 2, 3])
      with pytest.raises(
          MisconfigurationException,
          match="implementation has an error.*`dataset`",
      ):
          _update_dataloader(dataloader, dataloader.sampler)
  
      with _replace_dunder_methods(DataLoader, "dataset"):
          dataloader = BadStandaloneGoodHookImpl([1, 2, 3])
      new_dataloader = _update_dataloader(
          dataloader, dataloader.sampler
      )
      assert isinstance(new_dataloader, BadStandaloneGoodHookImpl)
  
      class BadImpl(DataLoader):
          def __init__(self, randomize, *args, **kwargs):
              self.randomize = randomize
              # keyword conflict with `shuffle`
              super().__init__(*args, shuffle=randomize, **kwargs)
  
      dataloader = BadImpl(False, [])
      with pytest.raises(
          MisconfigurationException,
          match="implementation has an error.*`shuffle`",
      ):
          _update_dataloader(dataloader, dataloader.sampler)
  
      class GoodImpl(DataLoader):
          def __init__(self, randomize, *args, **kwargs):
              # fixed implementation, kwargs are filtered
              self.randomize = randomize or kwargs.pop("shuffle", False)
              super().__init__(*args, shuffle=randomize, **kwargs)
  
      dataloader = GoodImpl(False, [])
      new_dataloader = _update_dataloader(
          dataloader, dataloader.sampler
      )
      assert isinstance(new_dataloader, GoodImpl)
  
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 9 for calling a global function with example usage: test_update_dataloader_typerror_custom_exception() without return types