def METHOD_NAME(self) -> None:
    model = BasicModel()
    input = torch.tensor([[2.0, -9.0, 9.0, 1.0, -3.0]], requires_grad=True)
    mask = torch.tensor([[1, 0, 0, 1, 1]])
    self._FGSM_assert(
        model, input, 1, 0.1, [[2.0, -9.0, 9.0, 1.0, -3.0]], mask=mask
    )