def test_necessario(self):
        self.assertTrue(self.seg_p)

        seg_p2 = itau.registros.SegmentoP()
        self.assertFalse(seg_p2.necessario())

        seg_p2.controle_banco = 33
        self.assertFalse(seg_p2.necessario())

        seg_p2.vencimento_titulo = 10102012
        self.assertTrue(seg_p2.necessario())
def __init__(self, train_x, train_y, likelihood):
        super(GPRegressionModel, self).__init__(train_x, train_y, likelihood)
        self.mean_module = ConstantMean(prior=SmoothedBoxPrior(-1e-5, 1e-5))
        self.base_covar_module = ScaleKernel(RBFKernel(lengthscale_prior=SmoothedBoxPrior(exp(-5), exp(6), sigma=0.1)))
        self.covar_module = InducingPointKernel(
            self.base_covar_module, inducing_points=torch.linspace(0, 1, 32), likelihood=likelihood
        )