From 8231de2a92997a79d050a8673be4a30ea6a33d32 Mon Sep 17 00:00:00 2001
From: Varun Agrawal <varagrawal@gmail.com>
Date: Fri, 20 Sep 2024 12:55:21 -0400
Subject: [PATCH] rename tests to match file

---
 .../tests/testHybridNonlinearFactorGraph.cpp  | 21 ++++++++++---------
 1 file changed, 11 insertions(+), 10 deletions(-)

diff --git a/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp b/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp
index 621c8708e..a324585bf 100644
--- a/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp
+++ b/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp
@@ -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.