nalgebra/tests/mat.rs

537 lines
12 KiB
Rust

extern crate nalgebra as na;
extern crate rand;
use rand::random;
use na::{Vec1, Vec3, Mat1, Mat2, Mat3, Mat4, Mat5, Mat6, Rot2, Rot3, Persp3, PerspMat3, Ortho3,
OrthoMat3, DMat, DVec, Row, Col, BaseFloat};
macro_rules! test_inv_mat_impl(
($t: ty) => (
for _ in (0usize .. 10000) {
let randmat : $t = random();
match na::inv(&randmat) {
None => { },
Some(i) => assert!(na::approx_eq(&(i * randmat), &na::one()))
}
}
);
);
macro_rules! test_transpose_mat_impl(
($t: ty) => (
for _ in (0usize .. 10000) {
let randmat : $t = random();
assert!(na::transpose(&na::transpose(&randmat)) == randmat);
}
);
);
macro_rules! test_qr_impl(
($t: ty) => (
for _ in (0usize .. 10000) {
let randmat : $t = random();
let (q, r) = na::qr(&randmat);
let recomp = q * r;
assert!(na::approx_eq(&randmat, &recomp));
}
);
);
// NOTE: deactivated untile we get a better convergence rate.
// macro_rules! test_eigen_qr_impl(
// ($t: ty) => {
// for _ in (0usize .. 10000) {
// let randmat : $t = random();
// // Make it symetric so that we can recompose the matrix to test at the end.
// let randmat = na::transpose(&randmat) * randmat;
//
// let (eigenvectors, eigenvalues) = na::eigen_qr(&randmat, &Float::epsilon(), 100);
//
// let diag: $t = Diag::from_diag(&eigenvalues);
//
// let recomp = eigenvectors * diag * na::transpose(&eigenvectors);
//
// println!("eigenvalues: {}", eigenvalues);
// println!(" mat: {}", randmat);
// println!("recomp: {}", recomp);
//
// assert!(na::approx_eq_eps(&randmat, &recomp, &1.0e-2));
// }
// }
// )
#[test]
fn test_transpose_mat1() {
test_transpose_mat_impl!(Mat1<f64>);
}
#[test]
fn test_transpose_mat2() {
test_transpose_mat_impl!(Mat2<f64>);
}
#[test]
fn test_transpose_mat3() {
test_transpose_mat_impl!(Mat3<f64>);
}
#[test]
fn test_transpose_mat4() {
test_transpose_mat_impl!(Mat4<f64>);
}
#[test]
fn test_transpose_mat5() {
test_transpose_mat_impl!(Mat5<f64>);
}
#[test]
fn test_transpose_mat6() {
test_transpose_mat_impl!(Mat6<f64>);
}
#[test]
fn test_inv_mat1() {
test_inv_mat_impl!(Mat1<f64>);
}
#[test]
fn test_inv_mat2() {
test_inv_mat_impl!(Mat2<f64>);
}
#[test]
fn test_inv_mat3() {
test_inv_mat_impl!(Mat3<f64>);
}
#[test]
fn test_inv_mat4() {
test_inv_mat_impl!(Mat4<f64>);
}
#[test]
fn test_inv_mat5() {
test_inv_mat_impl!(Mat5<f64>);
}
#[test]
fn test_inv_mat6() {
test_inv_mat_impl!(Mat6<f64>);
}
#[test]
fn test_rotation2() {
for _ in (0usize .. 10000) {
let randmat: na::Rot2<f64> = na::one();
let ang = Vec1::new(na::abs(&random::<f64>()) % <f64 as BaseFloat>::pi());
assert!(na::approx_eq(&na::rotation(&na::append_rotation(&randmat, &ang)), &ang));
}
}
#[test]
fn test_index_mat2() {
let mat: Mat2<f64> = random();
assert!(mat[(0, 1)] == na::transpose(&mat)[(1, 0)]);
}
#[test]
fn test_inv_rotation3() {
for _ in (0usize .. 10000) {
let randmat: Rot3<f64> = na::one();
let dir: Vec3<f64> = random();
let ang = na::normalize(&dir) * (na::abs(&random::<f64>()) % <f64 as BaseFloat>::pi());
let rot = na::append_rotation(&randmat, &ang);
assert!(na::approx_eq(&(na::transpose(&rot) * rot), &na::one()));
}
}
#[test]
fn test_rot3_rotation_between() {
let r1: Rot3<f64> = random();
let r2: Rot3<f64> = random();
let delta = na::rotation_between(&r1, &r2);
assert!(na::approx_eq(&(delta * r1), &r2))
}
#[test]
fn test_rot3_angle_between() {
let r1: Rot3<f64> = random();
let r2: Rot3<f64> = random();
let delta = na::rotation_between(&r1, &r2);
let delta_angle = na::angle_between(&r1, &r2);
assert!(na::approx_eq(&na::norm(&na::rotation(&delta)), &delta_angle))
}
#[test]
fn test_rot2_rotation_between() {
let r1: Rot2<f64> = random();
let r2: Rot2<f64> = random();
let delta = na::rotation_between(&r1, &r2);
assert!(na::approx_eq(&(delta * r1), &r2))
}
#[test]
fn test_rot2_angle_between() {
let r1: Rot2<f64> = random();
let r2: Rot2<f64> = random();
let delta = na::rotation_between(&r1, &r2);
let delta_angle = na::angle_between(&r1, &r2);
assert!(na::approx_eq(&na::norm(&na::rotation(&delta)), &delta_angle))
}
#[test]
fn test_mean_dmat() {
let mat = DMat::from_row_vec(
3,
3,
&[
1.0f64, 2.0, 3.0,
4.0f64, 5.0, 6.0,
7.0f64, 8.0, 9.0,
]
);
assert!(na::approx_eq(&na::mean(&mat), &DVec::from_slice(3, &[4.0f64, 5.0, 6.0])));
}
#[test]
fn test_cov_dmat() {
let mat = DMat::from_row_vec(
5,
3,
&[
4.0f64, 2.0, 0.60,
4.2f64, 2.1, 0.59,
3.9f64, 2.0, 0.58,
4.3f64, 2.1, 0.62,
4.1f64, 2.2, 0.63
]
);
let expected = DMat::from_row_vec(
3,
3,
&[
0.025f64, 0.0075, 0.00175,
0.0075f64, 0.007, 0.00135,
0.00175f64, 0.00135, 0.00043
]
);
assert!(na::approx_eq(&na::cov(&mat), &expected));
}
#[test]
fn test_transpose_dmat() {
let mat = DMat::from_row_vec(
8,
4,
&[
1u32,2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12,
13, 14, 15, 16,
17, 18, 19, 20,
21, 22, 23, 24,
25, 26, 27, 28,
29, 30, 31, 32
]
);
assert!(na::transpose(&na::transpose(&mat)) == mat);
}
#[test]
fn test_dmat_from_vec() {
let mat1 = DMat::from_row_vec(
8,
4,
&[
1i32, 2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12,
13, 14, 15, 16,
17, 18, 19, 20,
21, 22, 23, 24,
25, 26, 27, 28,
29, 30, 31, 32
]
);
let mat2 = DMat::from_col_vec(
8,
4,
&[
1i32, 5, 9, 13, 17, 21, 25, 29,
2i32, 6, 10, 14, 18, 22, 26, 30,
3i32, 7, 11, 15, 19, 23, 27, 31,
4i32, 8, 12, 16, 20, 24, 28, 32
]
);
println!("mat1: {:?}, mat2: {:?}", mat1, mat2);
assert!(mat1 == mat2);
}
#[test]
fn test_dmat_addition() {
let mat1 = DMat::from_row_vec(
2,
2,
&[
1.0, 2.0,
3.0, 4.0
]
);
let mat2 = DMat::from_row_vec(
2,
2,
&[
10.0, 20.0,
30.0, 40.0
]
);
let res = DMat::from_row_vec(
2,
2,
&[
11.0, 22.0,
33.0, 44.0
]
);
assert!((mat1 + mat2) == res);
}
#[test]
fn test_dmat_subtraction() {
let mat1 = DMat::from_row_vec(
2,
2,
&[
1.0, 2.0,
3.0, 4.0
]
);
let mat2 = DMat::from_row_vec(
2,
2,
&[
10.0, 20.0,
30.0, 40.0
]
);
let res = DMat::from_row_vec(
2,
2,
&[
-09.0, -18.0,
-27.0, -36.0
]
);
assert!((mat1 - mat2) == res);
}
/* FIXME: review qr decomposition to make it work with DMat.
#[test]
fn test_qr() {
for _ in (0usize .. 10) {
let dim1: usize = random();
let dim2: usize = random();
let rows = min(40, max(dim1, dim2));
let cols = min(40, min(dim1, dim2));
let randmat: DMat<f64> = DMat::new_random(rows, cols);
let (q, r) = na::qr(&randmat);
let recomp = q * r;
assert!(na::approx_eq(&randmat, &recomp));
}
}
*/
#[test]
fn test_qr_mat1() {
test_qr_impl!(Mat1<f64>);
}
#[test]
fn test_qr_mat2() {
test_qr_impl!(Mat2<f64>);
}
#[test]
fn test_qr_mat3() {
test_qr_impl!(Mat3<f64>);
}
#[test]
fn test_qr_mat4() {
test_qr_impl!(Mat4<f64>);
}
#[test]
fn test_qr_mat5() {
test_qr_impl!(Mat5<f64>);
}
#[test]
fn test_qr_mat6() {
test_qr_impl!(Mat6<f64>);
}
// NOTE: deactivated until we get a better convergence rate.
// #[test]
// fn test_eigen_qr_mat1() {
// test_eigen_qr_impl!(Mat1<f64>);
// }
//
// #[test]
// fn test_eigen_qr_mat2() {
// test_eigen_qr_impl!(Mat2<f64>);
// }
//
// #[test]
// fn test_eigen_qr_mat3() {
// test_eigen_qr_impl!(Mat3<f64>);
// }
//
// #[test]
// fn test_eigen_qr_mat4() {
// test_eigen_qr_impl!(Mat4<f64>);
// }
//
// #[test]
// fn test_eigen_qr_mat5() {
// test_eigen_qr_impl!(Mat5<f64>);
// }
//
// #[test]
// fn test_eigen_qr_mat6() {
// test_eigen_qr_impl!(Mat6<f64>);
// }
#[test]
fn test_from_fn() {
let actual: DMat<usize> = DMat::from_fn(3, 4, |i, j| 10 * i + j);
let expected: DMat<usize> = DMat::from_row_vec(3, 4,
&[ 0_0, 0_1, 0_2, 0_3,
1_0, 1_1, 1_2, 1_3,
2_0, 2_1, 2_2, 2_3 ]);
assert_eq!(actual, expected);
}
#[test]
fn test_row_3() {
let mat = Mat3::new(0.0f32, 1.0, 2.0,
3.0, 4.0, 5.0,
6.0, 7.0, 8.0);
let second_row = mat.row(1);
let second_col = mat.col(1);
assert!(second_row == Vec3::new(3.0, 4.0, 5.0));
assert!(second_col == Vec3::new(1.0, 4.0, 7.0));
}
#[test]
fn test_persp() {
let mut p = Persp3::new(42.0f64, 0.5, 1.5, 10.0);
let mut pm = PerspMat3::new(42.0f64, 0.5, 1.5, 10.0);
assert!(p.to_mat() == pm.to_mat());
assert!(p.aspect() == 42.0);
assert!(p.fov() == 0.5);
assert!(p.znear() == 1.5);
assert!(p.zfar() == 10.0);
assert!(na::approx_eq(&pm.aspect(), &42.0));
assert!(na::approx_eq(&pm.fov(), &0.5));
assert!(na::approx_eq(&pm.znear(), &1.5));
assert!(na::approx_eq(&pm.zfar(), &10.0));
p.set_fov(0.1);
pm.set_fov(0.1);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
p.set_znear(24.0);
pm.set_znear(24.0);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
p.set_zfar(61.0);
pm.set_zfar(61.0);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
p.set_aspect(23.0);
pm.set_aspect(23.0);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
assert!(p.aspect() == 23.0);
assert!(p.fov() == 0.1);
assert!(p.znear() == 24.0);
assert!(p.zfar() == 61.0);
assert!(na::approx_eq(&pm.aspect(), &23.0));
assert!(na::approx_eq(&pm.fov(), &0.1));
assert!(na::approx_eq(&pm.znear(), &24.0));
assert!(na::approx_eq(&pm.zfar(), &61.0));
}
#[test]
fn test_ortho() {
let mut p = Ortho3::new(42.0f64, 0.5, 1.5, 10.0);
let mut pm = OrthoMat3::new(42.0f64, 0.5, 1.5, 10.0);
assert!(p.to_mat() == pm.to_mat());
assert!(p.width() == 42.0);
assert!(p.height() == 0.5);
assert!(p.znear() == 1.5);
assert!(p.zfar() == 10.0);
assert!(na::approx_eq(&pm.width(), &42.0));
assert!(na::approx_eq(&pm.height(), &0.5));
assert!(na::approx_eq(&pm.znear(), &1.5));
assert!(na::approx_eq(&pm.zfar(), &10.0));
p.set_width(0.1);
pm.set_width(0.1);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
p.set_znear(24.0);
pm.set_znear(24.0);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
p.set_zfar(61.0);
pm.set_zfar(61.0);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
p.set_height(23.0);
pm.set_height(23.0);
assert!(na::approx_eq(&p.to_mat(), pm.as_mat()));
assert!(p.height() == 23.0);
assert!(p.width() == 0.1);
assert!(p.znear() == 24.0);
assert!(p.zfar() == 61.0);
assert!(na::approx_eq(&pm.height(), &23.0));
assert!(na::approx_eq(&pm.width(), &0.1));
assert!(na::approx_eq(&pm.znear(), &24.0));
assert!(na::approx_eq(&pm.zfar(), &61.0));
}