def METHOD_NAME() -> Tuple[torch.utils.data.DataLoader, torch.utils.data.DataLoader]:
    """Load CIFAR-10 (training and test set)."""
    transform = transforms.Compose(
        [transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]
    )
    # Training set
    trainset = torchvision.datasets.CIFAR10(
        root=DATA_ROOT, train=True, download=True, transform=transform
    )
    trainloader = torch.utils.data.DataLoader(trainset, batch_size=32, shuffle=True)
    # Test set
    testset = torchvision.datasets.CIFAR10(
        root=DATA_ROOT, train=False, download=True, transform=transform
    )
    testloader = torch.utils.data.DataLoader(testset, batch_size=32, shuffle=False)
    return trainloader, testloader