forked from M-Labs/nalgebra
106 lines
2.9 KiB
Rust
106 lines
2.9 KiB
Rust
#![cfg(feature = "arbitrary")]
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use na::{DMatrix, DVector};
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use std::cmp;
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quickcheck! {
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/*
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*
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* Symmetric operators.
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*
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*/
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fn gemv_symm(n: usize, alpha: f64, beta: f64) -> bool {
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let n = cmp::max(1, cmp::min(n, 50));
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let a = DMatrix::<f64>::new_random(n, n);
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let a = &a * a.transpose();
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let x = DVector::new_random(n);
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let mut y1 = DVector::new_random(n);
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let mut y2 = y1.clone();
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y1.gemv(alpha, &a, &x, beta);
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y2.sygemv(alpha, &a.lower_triangle(), &x, beta);
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if !relative_eq!(y1, y2, epsilon = 1.0e-10) {
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return false;
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}
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y1.gemv(alpha, &a, &x, 0.0);
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y2.sygemv(alpha, &a.lower_triangle(), &x, 0.0);
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relative_eq!(y1, y2, epsilon = 1.0e-10)
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}
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fn gemv_tr(n: usize, alpha: f64, beta: f64) -> bool {
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let n = cmp::max(1, cmp::min(n, 50));
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let a = DMatrix::<f64>::new_random(n, n);
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let x = DVector::new_random(n);
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let mut y1 = DVector::new_random(n);
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let mut y2 = y1.clone();
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y1.gemv(alpha, &a, &x, beta);
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y2.gemv_tr(alpha, &a.transpose(), &x, beta);
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if !relative_eq!(y1, y2, epsilon = 1.0e-10) {
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return false;
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}
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y1.gemv(alpha, &a, &x, 0.0);
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y2.gemv_tr(alpha, &a.transpose(), &x, 0.0);
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relative_eq!(y1, y2, epsilon = 1.0e-10)
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}
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fn ger_symm(n: usize, alpha: f64, beta: f64) -> bool {
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let n = cmp::max(1, cmp::min(n, 50));
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let a = DMatrix::<f64>::new_random(n, n);
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let mut a1 = &a * a.transpose();
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let mut a2 = a1.lower_triangle();
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let x = DVector::new_random(n);
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let y = DVector::new_random(n);
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a1.ger(alpha, &x, &y, beta);
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a2.syger(alpha, &x, &y, beta);
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if !relative_eq!(a1.lower_triangle(), a2) {
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return false;
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}
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a1.ger(alpha, &x, &y, 0.0);
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a2.syger(alpha, &x, &y, 0.0);
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relative_eq!(a1.lower_triangle(), a2)
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}
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fn quadform(n: usize, alpha: f64, beta: f64) -> bool {
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let n = cmp::max(1, cmp::min(n, 50));
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let rhs = DMatrix::<f64>::new_random(6, n);
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let mid = DMatrix::<f64>::new_random(6, 6);
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let mut res = DMatrix::new_random(n, n);
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let expected = &res * beta + rhs.transpose() * &mid * &rhs * alpha;
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res.quadform(alpha, &mid, &rhs, beta);
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println!("{}{}", res, expected);
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relative_eq!(res, expected, epsilon = 1.0e-7)
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}
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fn quadform_tr(n: usize, alpha: f64, beta: f64) -> bool {
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let n = cmp::max(1, cmp::min(n, 50));
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let lhs = DMatrix::<f64>::new_random(6, n);
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let mid = DMatrix::<f64>::new_random(n, n);
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let mut res = DMatrix::new_random(6, 6);
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let expected = &res * beta + &lhs * &mid * lhs.transpose() * alpha;
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res.quadform_tr(alpha, &lhs, &mid , beta);
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println!("{}{}", res, expected);
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relative_eq!(res, expected, epsilon = 1.0e-7)
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}
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}
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