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rename tests to match file

release/4.3a0
Varun Agrawal 2024-09-20 12:55:21 -04:00
parent 9c3d7b0f3b
commit 8231de2a92
1 changed files with 11 additions and 10 deletions
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21
gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp
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@ -51,7 +51,7 @@ using symbol_shorthand::X;
* Test that any linearizedFactorGraph gaussian factors are appended to the
* existing gaussian factor graph in the hybrid factor graph.
*/
TEST(HybridFactorGraph, GaussianFactorGraph) {
TEST(HybridNonlinearFactorGraph, GaussianFactorGraph) {
HybridNonlinearFactorGraph fg;
// Add a simple prior factor to the nonlinear factor graph
@ -181,7 +181,7 @@ TEST(HybridGaussianFactorGraph, HybridNonlinearFactor) {
/*****************************************************************************
* Test push_back on HFG makes the correct distinction.
*/
TEST(HybridFactorGraph, PushBack) {
TEST(HybridNonlinearFactorGraph, PushBack) {
HybridNonlinearFactorGraph fg;
auto nonlinearFactor = std::make_shared<BetweenFactor<double>>();
@ -240,7 +240,7 @@ TEST(HybridFactorGraph, PushBack) {
/****************************************************************************
* Test construction of switching-like hybrid factor graph.
*/
TEST(HybridFactorGraph, Switching) {
TEST(HybridNonlinearFactorGraph, Switching) {
Switching self(3);
EXPECT_LONGS_EQUAL(7, self.nonlinearFactorGraph.size());
@ -250,7 +250,7 @@ TEST(HybridFactorGraph, Switching) {
/****************************************************************************
* Test linearization on a switching-like hybrid factor graph.
*/
TEST(HybridFactorGraph, Linearization) {
TEST(HybridNonlinearFactorGraph, Linearization) {
Switching self(3);
// Linearize here:
@ -263,7 +263,7 @@ TEST(HybridFactorGraph, Linearization) {
/****************************************************************************
* Test elimination tree construction
*/
TEST(HybridFactorGraph, EliminationTree) {
TEST(HybridNonlinearFactorGraph, EliminationTree) {
Switching self(3);
// Create ordering.
@ -372,7 +372,7 @@ TEST(HybridGaussianElimination, EliminateHybrid_2_Variable) {
/****************************************************************************
* Test partial elimination
*/
TEST(HybridFactorGraph, Partial_Elimination) {
TEST(HybridNonlinearFactorGraph, Partial_Elimination) {
Switching self(3);
auto linearizedFactorGraph = self.linearizedFactorGraph;
@ -401,7 +401,8 @@ TEST(HybridFactorGraph, Partial_Elimination) {
EXPECT(remainingFactorGraph->at(2)->keys() == KeyVector({M(0), M(1)}));
}
TEST(HybridFactorGraph, PrintErrors) {
/* ****************************************************************************/
TEST(HybridNonlinearFactorGraph, PrintErrors) {
Switching self(3);
// Get nonlinear factor graph and add linear factors to be holistic
@ -424,7 +425,7 @@ TEST(HybridFactorGraph, PrintErrors) {
/****************************************************************************
* Test full elimination
*/
TEST(HybridFactorGraph, Full_Elimination) {
TEST(HybridNonlinearFactorGraph, Full_Elimination) {
Switching self(3);
auto linearizedFactorGraph = self.linearizedFactorGraph;
@ -492,7 +493,7 @@ TEST(HybridFactorGraph, Full_Elimination) {
/****************************************************************************
* Test printing
*/
TEST(HybridFactorGraph, Printing) {
TEST(HybridNonlinearFactorGraph, Printing) {
Switching self(3);
auto linearizedFactorGraph = self.linearizedFactorGraph;
@ -784,7 +785,7 @@ conditional 2: Hybrid P( x2 | m0 m1)
* The issue arises if we eliminate a landmark variable first since it is not
* connected to a HybridFactor.
*/
TEST(HybridFactorGraph, DefaultDecisionTree) {
TEST(HybridNonlinearFactorGraph, DefaultDecisionTree) {
HybridNonlinearFactorGraph fg;
// Add a prior on pose x0 at the origin.