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fix printing tests

release/4.3a0
Varun Agrawal 2024-09-14 15:09:17 -04:00
parent df7850494c
commit cfe2ad56bf
2 changed files with 1 additions and 11 deletions
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2
gtsam/hybrid/tests/testHybridGaussianFactor.cpp
View File

@ -129,7 +129,6 @@ Hybrid [x1 x2; 1]{
] ]
b = [ 0 0 ] b = [ 0 0 ]
No noise model No noise model
value: 0
1 Leaf : 1 Leaf :
A[x1] = [ A[x1] = [
@ -142,7 +141,6 @@ value: 0
] ]
b = [ 0 0 ] b = [ 0 0 ]
No noise model No noise model
value: 0
} }
)"; )";

10
gtsam/hybrid/tests/testHybridNonlinearFactorGraph.cpp
View File

@ -442,7 +442,7 @@ TEST(HybridFactorGraph, Full_Elimination) {
DiscreteFactorGraph discrete_fg; DiscreteFactorGraph discrete_fg;
// TODO(Varun) Make this a function of HybridGaussianFactorGraph? // TODO(Varun) Make this a function of HybridGaussianFactorGraph?
for (auto& factor : (*remainingFactorGraph_partial)) { for (auto &factor : (*remainingFactorGraph_partial)) {
auto df = dynamic_pointer_cast<DiscreteFactor>(factor); auto df = dynamic_pointer_cast<DiscreteFactor>(factor);
assert(df); assert(df);
discrete_fg.push_back(df); discrete_fg.push_back(df);
@ -526,7 +526,6 @@ Hybrid [x0 x1; m0]{
] ]
b = [ -1 ] b = [ -1 ]
No noise model No noise model
value: 0
1 Leaf : 1 Leaf :
A[x0] = [ A[x0] = [
@ -537,7 +536,6 @@ value: 0
] ]
b = [ -0 ] b = [ -0 ]
No noise model No noise model
value: 0
} }
factor 2: factor 2:
@ -553,7 +551,6 @@ Hybrid [x1 x2; m1]{
] ]
b = [ -1 ] b = [ -1 ]
No noise model No noise model
value: 0
1 Leaf : 1 Leaf :
A[x1] = [ A[x1] = [
@ -564,7 +561,6 @@ value: 0
] ]
b = [ -0 ] b = [ -0 ]
No noise model No noise model
value: 0
} }
factor 3: factor 3:
@ -613,7 +609,6 @@ Hybrid [x0 x1; m0]{
] ]
b = [ -1 ] b = [ -1 ]
No noise model No noise model
value: 0
1 Leaf: 1 Leaf:
A[x0] = [ A[x0] = [
@ -624,7 +619,6 @@ value: 0
] ]
b = [ -0 ] b = [ -0 ]
No noise model No noise model
value: 0
} }
factor 2: factor 2:
@ -639,7 +633,6 @@ Hybrid [x1 x2; m1]{
] ]
b = [ -1 ] b = [ -1 ]
No noise model No noise model
value: 0
1 Leaf: 1 Leaf:
A[x1] = [ A[x1] = [
@ -650,7 +643,6 @@ value: 0
] ]
b = [ -0 ] b = [ -0 ]
No noise model No noise model
value: 0
} }
factor 3: factor 3: