from pytorch_lightning.core.lightning import LightningModule
from pytorch_lightning.core.datamodule import LightningDataModule


def is_overridden(method_name: str, model: LightningModule) -> bool:
    # if you pass DataModule instead of None or a LightningModule, we use LightningDataModule as super
    # TODO - refector this function to accept model_name, instance, parent so it makes more sense
    super_object = LightningModule if not isinstance(model, LightningDataModule) else LightningDataModule

    # assert model, 'no model passes'

    if not hasattr(model, method_name):
        # in case of calling deprecated method
        return False

    instance_attr = getattr(model, method_name)
    if not instance_attr:
        return False
    super_attr = getattr(super_object, method_name)

    # when code pointers are different, it was implemented
    if hasattr(instance_attr, 'patch_loader_code'):
        # cannot pickle __code__ so cannot verify if PatchDataloader
        # exists which shows dataloader methods have been overwritten.
        # so, we hack it by using the string representation
        is_overridden = instance_attr.patch_loader_code != str(super_attr.__code__)
    else:
        is_overridden = instance_attr.__code__ is not super_attr.__code__
    return is_overridden