code: def test_define_as_dataclass():
      class BoringDataModule(LightningDataModule):
          def __init__(self, foo=None):
              super().__init__()
  
      # makes sure that no functionality is broken and the user can still manually make
      # super().__init__ call with parameters
      # also tests all the dataclass features that can be enabled without breaking anything
      @dataclass(
          init=True,
          repr=True,
          eq=True,
          order=True,
          unsafe_hash=True,
          frozen=False,
      )
      class BoringDataModule1(BoringDataModule):
          batch_size: int
          foo: int = 2
  
          def __post_init__(self):
              super().__init__(foo=self.foo)
  
      # asserts for the different dunder methods added by dataclass, when __init__ is implemented, i.e.
      # __repr__, __eq__, __lt__, __le__, etc.
      assert BoringDataModule1(batch_size=64).foo == 2
      assert BoringDataModule1(batch_size=32)
      assert hasattr(BoringDataModule1, "__repr__")
      assert BoringDataModule1(batch_size=32) == BoringDataModule1(
          batch_size=32
      )
  
      # asserts inherent calling of super().__init__ in case user doesn't make the call
      @dataclass
      class BoringDataModule2(LightningDataModule):
          batch_size: int
  
      # asserts for the different dunder methods added by dataclass, when super class is inherently initialized, i.e.
      # __init__, __repr__, __eq__, __lt__, __le__, etc.
      assert BoringDataModule2(batch_size=32)
      assert hasattr(BoringDataModule2, "__repr__")
      assert BoringDataModule2(batch_size=32).prepare_data() is None
      assert BoringDataModule2(batch_size=32) == BoringDataModule2(
          batch_size=32
      )
  
imports: import pickle
  from argparse import Namespace
  from dataclasses import dataclass
  from typing import Any, Dict
  from unittest import mock
  from unittest.mock import Mock, PropertyMock, call
  import pytest
  import torch
  from lightning.pytorch import LightningDataModule, Trainer, seed_everything
  from lightning.pytorch.callbacks import ModelCheckpoint
  from lightning.pytorch.demos.boring_classes import BoringDataModule, BoringModel
  from lightning.pytorch.profilers.simple import SimpleProfiler
  from lightning.pytorch.trainer.states import TrainerFn
  from lightning.pytorch.utilities import AttributeDict
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.imports import _OMEGACONF_AVAILABLE
  from tests_pytorch.helpers.datamodules import ClassifDataModule
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.helpers.simple_models import ClassificationModel
label_desc: Use image node_id 14 for calling a global function with example usage: test_define_as_dataclass() without return types