def METHOD_NAME(weights: fl.common.NDArrays) -> Optional[Tuple[float, float]]:
    """Use the entire CIFAR-10 test set for evaluation."""
    model = utils.load_model(args.model)
    set_weights(model, weights)
    model.to(DEVICE)
    testloader = torch.utils.data.DataLoader(testset, batch_size=32, shuffle=False)
    loss, accuracy = utils.test(model, testloader, device=DEVICE)
    return loss, {"accuracy": accuracy}