nalgebra/tests/linalg/udu.rs

use na::Matrix3;
use na::UDU;

#[test]
#[rustfmt::skip]
fn udu_simple() {
    let m = Matrix3::new(
        2.0, -1.0,  0.0,
       -1.0,  2.0, -1.0,
        0.0, -1.0,  2.0);

    let udu = UDU::new(m);
    // Rebuild
    let p = &udu.u * &udu.d * &udu.u.transpose();

    assert!(relative_eq!(m, 2.0*p, epsilon = 1.0e-7));
}

#[cfg(feature = "arbitrary")]
mod quickcheck_tests {
    #[allow(unused_imports)]
    use crate::core::helper::{RandComplex, RandScalar};

    macro_rules! gen_tests(
        ($module: ident, $scalar: ty) => {
            mod $module {
                use std::cmp;
                use na::{DMatrix, Matrix4};
                #[allow(unused_imports)]
                use crate::core::helper::{RandScalar, RandComplex};

                quickcheck! {
                    fn udu(m: DMatrix<$scalar>) -> bool {
                        let mut m = m;
                        if m.len() == 0 {
                             m = DMatrix::<$scalar>::new_random(1, 1);
                        }

                        let m = m.map(|e| e.0);

                        let udu = UDU::new(m.clone());
                        let p = &udu.u * &udu.d * &udu.u.transpose();

                        relative_eq!(m, p, epsilon = 1.0e-7)
                    }

                    fn udu_static(m: Matrix4<$scalar>) -> bool {
                        let m = m.map(|e| e.0);

                        let udu = UDU::new(m.clone());
                        let p = &udu.u * &udu.d * &udu.u.transpose();

                        relative_eq!(m, p, epsilon = 1.0e-7)
                    }
                }
            }
        }
    );

    gen_tests!(complex, RandComplex<f64>);
    gen_tests!(f64, RandScalar<f64>);
}