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disable test instead of commenting out

release/4.3a0
Varun Agrawal 2023-01-03 00:50:16 -05:00
parent 40a67b517c
commit 5c87d7d51b
1 changed files with 13 additions and 13 deletions
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26
gtsam/hybrid/tests/testHybridEstimation.cpp
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@ -114,7 +114,7 @@ TEST(HybridEstimation, Full) {
/****************************************************************************/
// Test approximate inference with an additional pruning step.
TEST(HybridEstimation, Incremental) {
TEST_DISABLED(HybridEstimation, Incremental) {
size_t K = 15;
std::vector<double> measurements = {0, 1, 2, 2, 2, 2, 3, 4, 5, 6, 6,
7, 8, 9, 9, 9, 10, 11, 11, 11, 11};
@ -154,21 +154,21 @@ TEST(HybridEstimation, Incremental) {
/*TODO(Varun) Gives degenerate result due to probability underflow.
Need to normalize probabilities.
*/
// HybridValues delta = smoother.hybridBayesNet().optimize();
HybridValues delta = smoother.hybridBayesNet().optimize();
// Values result = initial.retract(delta.continuous());
Values result = initial.retract(delta.continuous());
// DiscreteValues expected_discrete;
// for (size_t k = 0; k < K - 1; k++) {
// expected_discrete[M(k)] = discrete_seq[k];
// }
// EXPECT(assert_equal(expected_discrete, delta.discrete()));
DiscreteValues expected_discrete;
for (size_t k = 0; k < K - 1; k++) {
expected_discrete[M(k)] = discrete_seq[k];
}
EXPECT(assert_equal(expected_discrete, delta.discrete()));
// Values expected_continuous;
// for (size_t k = 0; k < K; k++) {
// expected_continuous.insert(X(k), measurements[k]);
// }
// EXPECT(assert_equal(expected_continuous, result));
Values expected_continuous;
for (size_t k = 0; k < K; k++) {
expected_continuous.insert(X(k), measurements[k]);
}
EXPECT(assert_equal(expected_continuous, result));
}
/**