forked from M-Labs/nalgebra
test is now correct
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@ -79,10 +79,13 @@ macro_rules! gen_tests(
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}
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fn cholesky_rank_one_update(_n: usize) -> bool {
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fn cholesky_rank_one_update(_n: usize) -> bool {
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let mut m = RandomSDP::new(U4, || random::<$scalar>().0).unwrap();
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use nalgebra::dimension::U3;
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let x = Vector4::<$scalar>::new_random().map(|e| e.0);
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use nalgebra::Vector3;
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let sigma = random::<$scalar>().0; // random::<$scalar>().0;
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let mut m = RandomSDP::new(U3, || random::<$scalar>().0).unwrap();
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let one = sigma*0. + 1.; // TODO this is dirty but $scalar appears to not be a scalar type
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let x = Vector3::<$scalar>::new_random().map(|e| e.0);
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let mut sigma = random::<$scalar>().0; // random::<$scalar>().0;
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let one = sigma*0. + 1.; // TODO this is dirty but $scalar appears to not be a scalar type in this file
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sigma = one; // TODO placeholder
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// updates cholesky decomposition and reconstructs m
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// updates cholesky decomposition and reconstructs m
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let mut chol = m.clone().cholesky().unwrap();
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let mut chol = m.clone().cholesky().unwrap();
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@ -90,9 +93,11 @@ macro_rules! gen_tests(
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let m_chol_updated = chol.l() * chol.l().adjoint();
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let m_chol_updated = chol.l() * chol.l().adjoint();
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// updates m manually
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// updates m manually
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m.syger(sigma, &x, &x, one); // m += sigma * x * x.adjoint()
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m.ger(sigma, &x, &x, one); // m += sigma * x * x.adjoint()
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println!("m : {:?}", m);
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println!("sigma : {}", sigma);
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println!("m updated : {}", m);
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println!("chol : {}", m_chol_updated);
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relative_eq!(m, m_chol_updated, epsilon = 1.0e-7)
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relative_eq!(m, m_chol_updated, epsilon = 1.0e-7)
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}
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}
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