fix python tests
parent
1b7435361e
commit
1c74da26f4
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@ -37,7 +37,7 @@ class TestHybridGaussianFactorGraph(GtsamTestCase):
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jf1 = JacobianFactor(X(0), np.eye(3), np.zeros((3, 1)), model)
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jf2 = JacobianFactor(X(0), np.eye(3), np.ones((3, 1)), model)
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gmf = HybridGaussianFactor([X(0)], dk, [jf1, jf2])
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gmf = HybridGaussianFactor([X(0)], dk, [(jf1, 0), (jf2, 0)])
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hfg = HybridGaussianFactorGraph()
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hfg.push_back(jf1)
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@ -64,7 +64,7 @@ class TestHybridGaussianFactorGraph(GtsamTestCase):
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jf1 = JacobianFactor(X(0), np.eye(3), np.zeros((3, 1)), model)
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jf2 = JacobianFactor(X(0), np.eye(3), np.ones((3, 1)), model)
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gmf = HybridGaussianFactor([X(0)], dk, [jf1, jf2])
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gmf = HybridGaussianFactor([X(0)], dk, [(jf1, 0), (jf2, 0)])
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hfg = HybridGaussianFactorGraph()
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hfg.push_back(jf1)
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@ -35,13 +35,12 @@ class TestHybridGaussianFactorGraph(GtsamTestCase):
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nlfg.push_back(
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PriorFactorPoint3(2, Point3(1, 2, 3),
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noiseModel.Diagonal.Variances([0.5, 0.5, 0.5])))
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nlfg.push_back(
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gtsam.HybridNonlinearFactor([1], dk, [
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PriorFactorPoint3(1, Point3(0, 0, 0),
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noiseModel.Unit.Create(3)),
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PriorFactorPoint3(1, Point3(1, 2, 1),
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noiseModel.Unit.Create(3))
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]))
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factors = [(PriorFactorPoint3(1, Point3(0, 0, 0),
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noiseModel.Unit.Create(3)), 0.0),
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(PriorFactorPoint3(1, Point3(1, 2, 1),
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noiseModel.Unit.Create(3)), 0.0)]
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nlfg.push_back(gtsam.HybridNonlinearFactor([1], dk, factors))
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nlfg.push_back(gtsam.DecisionTreeFactor((10, 2), "1 3"))
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values = gtsam.Values()
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values.insert_point3(1, Point3(0, 0, 0))
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