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update test group

release/4.3a0
Varun Agrawal 2024-11-01 14:30:31 -04:00
parent d985f2fc25
commit f5f878e6fa
1 changed files with 4 additions and 4 deletions
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8
gtsam/hybrid/tests/testHybridMotionModel.cpp
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@ -124,7 +124,7 @@ std::pair<double, double> approximateDiscreteMarginal(
* the posterior probability of m1 should be 0.5/0.5. * the posterior probability of m1 should be 0.5/0.5.
* Getting a measurement on z1 gives use more information. * Getting a measurement on z1 gives use more information.
*/ */
TEST(HybridGaussianFactor, TwoStateModel) { TEST(HybridGaussianFactorGraph, TwoStateModel) {
double mu0 = 1.0, mu1 = 3.0; double mu0 = 1.0, mu1 = 3.0;
double sigma = 0.5; double sigma = 0.5;
auto hybridMotionModel = CreateHybridMotionModel(mu0, mu1, sigma, sigma); auto hybridMotionModel = CreateHybridMotionModel(mu0, mu1, sigma, sigma);
@ -178,7 +178,7 @@ TEST(HybridGaussianFactor, TwoStateModel) {
* the P(m1) should be 0.5/0.5. * the P(m1) should be 0.5/0.5.
* Getting a measurement on z1 gives use more information. * Getting a measurement on z1 gives use more information.
*/ */
TEST(HybridGaussianFactor, TwoStateModel2) { TEST(HybridGaussianFactorGraph, TwoStateModel2) {
double mu0 = 1.0, mu1 = 3.0; double mu0 = 1.0, mu1 = 3.0;
double sigma0 = 0.5, sigma1 = 2.0; double sigma0 = 0.5, sigma1 = 2.0;
auto hybridMotionModel = CreateHybridMotionModel(mu0, mu1, sigma0, sigma1); auto hybridMotionModel = CreateHybridMotionModel(mu0, mu1, sigma0, sigma1);
@ -281,7 +281,7 @@ TEST(HybridGaussianFactor, TwoStateModel2) {
* the p(m1) should be 0.5/0.5. * the p(m1) should be 0.5/0.5.
* Getting a measurement on z1 gives use more information. * Getting a measurement on z1 gives use more information.
*/ */
TEST(HybridGaussianFactor, TwoStateModel3) { TEST(HybridGaussianFactorGraph, TwoStateModel3) {
double mu = 1.0; double mu = 1.0;
double sigma0 = 0.5, sigma1 = 2.0; double sigma0 = 0.5, sigma1 = 2.0;
auto hybridMotionModel = CreateHybridMotionModel(mu, mu, sigma0, sigma1); auto hybridMotionModel = CreateHybridMotionModel(mu, mu, sigma0, sigma1);
@ -366,7 +366,7 @@ TEST(HybridGaussianFactor, TwoStateModel3) {
* measurements and vastly different motion model: either stand still or move * measurements and vastly different motion model: either stand still or move
* far. This yields a very informative posterior. * far. This yields a very informative posterior.
*/ */
TEST(HybridGaussianFactor, TwoStateModel4) { TEST(HybridGaussianFactorGraph, TwoStateModel4) {
double mu0 = 0.0, mu1 = 10.0; double mu0 = 0.0, mu1 = 10.0;
double sigma0 = 0.2, sigma1 = 5.0; double sigma0 = 0.2, sigma1 = 5.0;
auto hybridMotionModel = CreateHybridMotionModel(mu0, mu1, sigma0, sigma1); auto hybridMotionModel = CreateHybridMotionModel(mu0, mu1, sigma0, sigma1);