def test_fromdict(self):
        header_dict = self.header_arquivo.todict()
        header_arquivo = itau.registros.HeaderArquivo(**header_dict)
        self.assertEqual(header_arquivo.cedente_nome,
                                                'TRACY TECNOLOGIA LTDA ME')
        self.assertEqual(header_arquivo.nome_do_banco, 'BANCO ITAU SA')
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
        )