From cfe2ad56bfb7ab377231ac4c47a10dd80d65887a Mon Sep 17 00:00:00 2001 From: Varun Agrawal Date: Sat, 14 Sep 2024 15:09:17 -0400 Subject: [PATCH] fix printing tests --- gtsam/hybrid/tests/testHybridGaussianFactor.cpp | 2 -- gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp | 10 +--------- 2 files changed, 1 insertion(+), 11 deletions(-) diff --git a/gtsam/hybrid/tests/testHybridGaussianFactor.cpp b/gtsam/hybrid/tests/testHybridGaussianFactor.cpp index ce649e521..8837e84a7 100644 --- a/gtsam/hybrid/tests/testHybridGaussianFactor.cpp +++ b/gtsam/hybrid/tests/testHybridGaussianFactor.cpp @@ -129,7 +129,6 @@ Hybrid [x1 x2; 1]{ ] b = [ 0 0 ] No noise model -value: 0 1 Leaf : A[x1] = [ @@ -142,7 +141,6 @@ value: 0 ] b = [ 0 0 ] No noise model -value: 0 } )"; diff --git a/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp b/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp index 4f1a6fa46..fbf6983d2 100644 --- a/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp +++ b/gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp @@ -442,7 +442,7 @@ TEST(HybridFactorGraph, Full_Elimination) { DiscreteFactorGraph discrete_fg; // TODO(Varun) Make this a function of HybridGaussianFactorGraph? - for (auto& factor : (*remainingFactorGraph_partial)) { + for (auto &factor : (*remainingFactorGraph_partial)) { auto df = dynamic_pointer_cast(factor); assert(df); discrete_fg.push_back(df); @@ -526,7 +526,6 @@ Hybrid [x0 x1; m0]{ ] b = [ -1 ] No noise model -value: 0 1 Leaf : A[x0] = [ @@ -537,7 +536,6 @@ value: 0 ] b = [ -0 ] No noise model -value: 0 } factor 2: @@ -553,7 +551,6 @@ Hybrid [x1 x2; m1]{ ] b = [ -1 ] No noise model -value: 0 1 Leaf : A[x1] = [ @@ -564,7 +561,6 @@ value: 0 ] b = [ -0 ] No noise model -value: 0 } factor 3: @@ -613,7 +609,6 @@ Hybrid [x0 x1; m0]{ ] b = [ -1 ] No noise model -value: 0 1 Leaf: A[x0] = [ @@ -624,7 +619,6 @@ value: 0 ] b = [ -0 ] No noise model -value: 0 } factor 2: @@ -639,7 +633,6 @@ Hybrid [x1 x2; m1]{ ] b = [ -1 ] No noise model -value: 0 1 Leaf: A[x1] = [ @@ -650,7 +643,6 @@ value: 0 ] b = [ -0 ] No noise model -value: 0 } factor 3: