forked from M-Labs/nalgebra
Fix some tests requiring a square matrix.
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@ -11,8 +11,9 @@ fn hessenberg_simple() {
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}
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}
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macro_rules! gen_tests(
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macro_rules! gen_tests(
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($module: ident, $scalar: expr) => {
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($module: ident, $scalar: expr, $scalar_type: ty) => {
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mod $module {
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mod $module {
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use na::DMatrix;
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#[allow(unused_imports)]
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#[allow(unused_imports)]
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use crate::core::helper::{RandScalar, RandComplex};
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use crate::core::helper::{RandScalar, RandComplex};
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@ -21,7 +22,8 @@ macro_rules! gen_tests(
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proptest! {
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proptest! {
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#[test]
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#[test]
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fn hessenberg(m in dmatrix_($scalar)) {
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fn hessenberg(n in PROPTEST_MATRIX_DIM) {
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let m = DMatrix::<$scalar_type>::new_random(n, n).map(|e| e.0);
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let hess = m.clone().hessenberg();
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let hess = m.clone().hessenberg();
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let (p, h) = hess.unpack();
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let (p, h) = hess.unpack();
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prop_assert!(relative_eq!(m, &p * h * p.adjoint(), epsilon = 1.0e-7))
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prop_assert!(relative_eq!(m, &p * h * p.adjoint(), epsilon = 1.0e-7))
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@ -45,5 +47,5 @@ macro_rules! gen_tests(
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}
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}
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);
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);
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gen_tests!(complex, complex_f64());
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gen_tests!(complex, complex_f64(), RandComplex<f64>);
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gen_tests!(f64, PROPTEST_F64);
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gen_tests!(f64, PROPTEST_F64, RandScalar<f64>);
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@ -43,7 +43,6 @@ mod proptest_tests {
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macro_rules! gen_tests(
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macro_rules! gen_tests(
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($module: ident, $scalar: expr, $scalar_type: ty) => {
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($module: ident, $scalar: expr, $scalar_type: ty) => {
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mod $module {
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mod $module {
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use std::cmp;
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use na::{DMatrix, Matrix4x3, DVector, Vector4};
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use na::{DMatrix, Matrix4x3, DVector, Vector4};
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#[allow(unused_imports)]
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#[allow(unused_imports)]
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use crate::core::helper::{RandScalar, RandComplex};
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use crate::core::helper::{RandScalar, RandComplex};
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@ -92,8 +91,6 @@ mod proptest_tests {
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#[test]
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#[test]
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fn lu_solve(n in PROPTEST_MATRIX_DIM, nb in PROPTEST_MATRIX_DIM) {
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fn lu_solve(n in PROPTEST_MATRIX_DIM, nb in PROPTEST_MATRIX_DIM) {
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let n = cmp::min(n, 50); // To avoid slowing down the test too much.
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let nb = cmp::min(nb, 50); // To avoid slowing down the test too much.
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let m = DMatrix::<$scalar_type>::new_random(n, n).map(|e| e.0);
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let m = DMatrix::<$scalar_type>::new_random(n, n).map(|e| e.0);
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let lu = m.clone().lu();
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let lu = m.clone().lu();
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@ -121,7 +118,8 @@ mod proptest_tests {
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}
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}
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#[test]
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#[test]
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fn lu_inverse(m in dmatrix_($scalar)) {
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fn lu_inverse(n in PROPTEST_MATRIX_DIM) {
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let m = DMatrix::<$scalar_type>::new_random(n, n).map(|e| e.0);
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let mut l = m.lower_triangle();
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let mut l = m.lower_triangle();
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let mut u = m.upper_triangle();
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let mut u = m.upper_triangle();
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@ -16,8 +16,9 @@ fn schur_simpl_mat3() {
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#[cfg(feature = "proptest-support")]
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#[cfg(feature = "proptest-support")]
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mod proptest_tests {
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mod proptest_tests {
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macro_rules! gen_tests(
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macro_rules! gen_tests(
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($module: ident, $scalar: expr) => {
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($module: ident, $scalar: expr, $scalar_type: ty) => {
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mod $module {
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mod $module {
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use na::DMatrix;
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#[allow(unused_imports)]
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#[allow(unused_imports)]
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use crate::core::helper::{RandScalar, RandComplex};
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use crate::core::helper::{RandScalar, RandComplex};
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use crate::proptest::*;
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use crate::proptest::*;
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@ -25,7 +26,8 @@ mod proptest_tests {
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proptest! {
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proptest! {
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#[test]
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#[test]
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fn schur(m in dmatrix_($scalar)) {
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fn schur(n in PROPTEST_MATRIX_DIM) {
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let m = DMatrix::<$scalar_type>::new_random(n, n).map(|e| e.0);
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let (vecs, vals) = m.clone().schur().unpack();
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let (vecs, vals) = m.clone().schur().unpack();
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prop_assert!(relative_eq!(&vecs * vals * vecs.adjoint(), m, epsilon = 1.0e-7));
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prop_assert!(relative_eq!(&vecs * vals * vecs.adjoint(), m, epsilon = 1.0e-7));
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}
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}
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@ -52,8 +54,8 @@ mod proptest_tests {
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}
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}
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);
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);
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gen_tests!(complex, complex_f64());
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gen_tests!(complex, complex_f64(), RandComplex<f64>);
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gen_tests!(f64, PROPTEST_F64);
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gen_tests!(f64, PROPTEST_F64, RandScalar<f64>);
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}
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}
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#[test]
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#[test]
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