code: def test_xla_mp_device_dataloader_attribute(_, monkeypatch):
      dataset = RandomDataset(32, 64)
      dataloader = DataLoader(dataset)
      strategy = XLAStrategy()
      isinstance_return = True
  
      import torch_xla.distributed.parallel_loader as parallel_loader
  
      class MpDeviceLoaderMock(MagicMock):
          def __instancecheck__(self, instance):
              # to make `isinstance(dataloader, MpDeviceLoader)` pass with a mock as class
              return isinstance_return
  
      mp_loader_mock = MpDeviceLoaderMock()
      monkeypatch.setattr(
          parallel_loader, "MpDeviceLoader", mp_loader_mock
      )
  
      processed_dataloader = strategy.process_dataloader(dataloader)
      assert processed_dataloader is dataloader
      mp_loader_mock.assert_not_called()  # no-op
  
      isinstance_return = False
      processed_dataloader = strategy.process_dataloader(dataloader)
      mp_loader_mock.assert_called_with(
          dataloader, strategy.root_device
      )
      assert (
          processed_dataloader.dataset
          == processed_dataloader._loader.dataset
      )
      assert (
          processed_dataloader.batch_sampler
          == processed_dataloader._loader.batch_sampler
      )
  
imports: import os
  from functools import partial
  from unittest import mock
  from unittest.mock import ANY, MagicMock, Mock
  import pytest
  import torch
  from lightning.fabric.accelerators.xla import _XLA_GREATER_EQUAL_2_1, XLAAccelerator
  from lightning.fabric.strategies import XLAStrategy
  from lightning.fabric.strategies.launchers.xla import _XLALauncher
  from lightning.fabric.utilities.distributed import ReduceOp
  from lightning.fabric.utilities.seed import seed_everything
  from torch.utils.data import DataLoader
  from tests_fabric.helpers.models import RandomDataset
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 7 for calling a global function with example usage: test_xla_mp_device_dataloader_attribute(_, monkeypatch) and returns: isinstance_return