1345 lines
39 KiB
Rust
1345 lines
39 KiB
Rust
use na::iter::MatrixIter;
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use num::{One, Zero};
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use std::cmp::Ordering;
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use na::dimension::{U15, U8};
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use na::{
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self, Const, DMatrix, DVector, Matrix2, Matrix2x3, Matrix2x4, Matrix3, Matrix3x2, Matrix3x4,
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Matrix4, Matrix4x3, Matrix4x5, Matrix5, Matrix6, MatrixView2x3, MatrixViewMut2x3, OMatrix,
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RowVector3, RowVector4, RowVector5, Vector1, Vector2, Vector3, Vector4, Vector5, Vector6,
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};
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#[test]
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fn iter() {
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let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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let view: MatrixView2x3<_> = (&a).into();
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fn test<'a, F: Fn() -> I, I: Iterator<Item = &'a f64> + DoubleEndedIterator>(it: F) {
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{
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let mut it = it();
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assert_eq!(*it.next().unwrap(), 1.0);
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assert_eq!(*it.next().unwrap(), 4.0);
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assert_eq!(*it.next().unwrap(), 2.0);
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assert_eq!(*it.next().unwrap(), 5.0);
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assert_eq!(*it.next().unwrap(), 3.0);
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assert_eq!(*it.next().unwrap(), 6.0);
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assert!(it.next().is_none());
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}
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{
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let mut it = it();
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assert_eq!(*it.next().unwrap(), 1.0);
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assert_eq!(*it.next_back().unwrap(), 6.0);
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assert_eq!(*it.next_back().unwrap(), 3.0);
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assert_eq!(*it.next_back().unwrap(), 5.0);
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assert_eq!(*it.next().unwrap(), 4.0);
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assert_eq!(*it.next().unwrap(), 2.0);
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assert!(it.next().is_none());
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}
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{
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let mut it = it().rev();
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assert_eq!(*it.next().unwrap(), 6.0);
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assert_eq!(*it.next().unwrap(), 3.0);
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assert_eq!(*it.next().unwrap(), 5.0);
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assert_eq!(*it.next().unwrap(), 2.0);
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assert_eq!(*it.next().unwrap(), 4.0);
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assert_eq!(*it.next().unwrap(), 1.0);
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assert!(it.next().is_none());
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}
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}
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test(|| a.iter());
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test(|| view.into_iter());
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let row = a.row(0);
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let row_test = |mut it: MatrixIter<_, _, _, _>| {
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assert_eq!(*it.next().unwrap(), 1.0);
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assert_eq!(*it.next().unwrap(), 2.0);
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assert_eq!(*it.next().unwrap(), 3.0);
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assert!(it.next().is_none());
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};
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row_test(row.iter());
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row_test(row.into_iter());
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let row = a.row(1);
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let row_test = |mut it: MatrixIter<_, _, _, _>| {
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assert_eq!(*it.next().unwrap(), 4.0);
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assert_eq!(*it.next().unwrap(), 5.0);
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assert_eq!(*it.next().unwrap(), 6.0);
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assert!(it.next().is_none());
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};
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row_test(row.iter());
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row_test(row.into_iter());
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let m22 = row.column(1);
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let m22_test = |mut it: MatrixIter<_, _, _, _>| {
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assert_eq!(*it.next().unwrap(), 5.0);
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assert!(it.next().is_none());
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};
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m22_test(m22.iter());
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m22_test(m22.into_iter());
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let col = a.column(0);
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let col_test = |mut it: MatrixIter<_, _, _, _>| {
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assert_eq!(*it.next().unwrap(), 1.0);
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assert_eq!(*it.next().unwrap(), 4.0);
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assert!(it.next().is_none());
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};
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col_test(col.iter());
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col_test(col.into_iter());
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let col = a.column(1);
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let col_test = |mut it: MatrixIter<_, _, _, _>| {
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assert_eq!(*it.next().unwrap(), 2.0);
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assert_eq!(*it.next().unwrap(), 5.0);
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assert!(it.next().is_none());
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};
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col_test(col.iter());
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col_test(col.into_iter());
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let col = a.column(2);
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let col_test = |mut it: MatrixIter<_, _, _, _>| {
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assert_eq!(*it.next().unwrap(), 3.0);
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assert_eq!(*it.next().unwrap(), 6.0);
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assert!(it.next().is_none());
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};
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col_test(col.iter());
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col_test(col.into_iter());
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}
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#[test]
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fn iter_mut() {
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let mut a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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for v in a.iter_mut() {
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*v *= 2.0;
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}
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assert_eq!(a, Matrix2x3::new(2.0, 4.0, 6.0, 8.0, 10.0, 12.0));
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let view: MatrixViewMut2x3<_> = MatrixViewMut2x3::from(&mut a);
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for v in view.into_iter() {
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*v *= 2.0;
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}
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assert_eq!(a, Matrix2x3::new(4.0, 8.0, 12.0, 16.0, 20.0, 24.0));
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}
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#[test]
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fn debug_output_corresponds_to_data_container() {
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let m = Matrix2::new(1.0, 2.0, 3.0, 4.0);
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let output_stable = "[[1, 3], [2, 4]]"; // Current output on the stable channel.
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let output_nightly = "[[1.0, 3.0], [2.0, 4.0]]"; // Current output on the nightly channel.
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let current_output = format!("{:?}", m);
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dbg!(output_stable);
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dbg!(output_nightly);
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dbg!(¤t_output);
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assert!(current_output == output_stable || current_output == output_nightly);
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}
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#[test]
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fn is_column_major() {
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let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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let expected = &[1.0, 4.0, 2.0, 5.0, 3.0, 6.0];
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assert_eq!(a.as_slice(), expected);
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let a = Matrix2x3::from_row_slice(&[1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);
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assert_eq!(a.as_slice(), expected);
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let a = Matrix2x3::from_column_slice(&[1.0, 4.0, 2.0, 5.0, 3.0, 6.0]);
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assert_eq!(a.as_slice(), expected);
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}
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#[test]
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fn linear_index() {
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let a = Matrix2x3::new(1, 2, 3, 4, 5, 6);
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assert_eq!(a[0], 1);
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assert_eq!(a[1], 4);
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assert_eq!(a[2], 2);
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assert_eq!(a[3], 5);
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assert_eq!(a[4], 3);
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assert_eq!(a[5], 6);
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let b = Vector4::new(1, 2, 3, 4);
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assert_eq!(b[0], 1);
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assert_eq!(b[1], 2);
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assert_eq!(b[2], 3);
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assert_eq!(b[3], 4);
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let c = RowVector4::new(1, 2, 3, 4);
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assert_eq!(c[0], 1);
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assert_eq!(c[1], 2);
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assert_eq!(c[2], 3);
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assert_eq!(c[3], 4);
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}
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#[test]
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fn identity() {
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let id1 = Matrix3::<f64>::identity();
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let id2 = Matrix3x4::new(1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0);
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let id2bis = Matrix3x4::identity();
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let id3 = Matrix4x3::new(1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0);
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let id3bis = Matrix4x3::identity();
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let not_id1 = Matrix3::identity() * 2.0;
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let not_id2 = Matrix3x4::new(1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0);
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let not_id3 = Matrix4x3::new(1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0);
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assert_eq!(id2, id2bis);
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assert_eq!(id3, id3bis);
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assert!(id1.is_identity(0.0));
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assert!(id2.is_identity(0.0));
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assert!(id3.is_identity(0.0));
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assert!(!not_id1.is_identity(0.0));
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assert!(!not_id2.is_identity(0.0));
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assert!(!not_id3.is_identity(0.0));
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}
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#[test]
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fn coordinates() {
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let a = Matrix3x4::new(11, 12, 13, 14, 21, 22, 23, 24, 31, 32, 33, 34);
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assert_eq!(a.m11, 11);
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assert_eq!(a.m12, 12);
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assert_eq!(a.m13, 13);
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assert_eq!(a.m14, 14);
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assert_eq!(a.m21, 21);
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assert_eq!(a.m22, 22);
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assert_eq!(a.m23, 23);
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assert_eq!(a.m24, 24);
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assert_eq!(a.m31, 31);
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assert_eq!(a.m32, 32);
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assert_eq!(a.m33, 33);
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assert_eq!(a.m34, 34);
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}
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#[test]
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fn from_diagonal() {
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let diag = Vector3::new(1, 2, 3);
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let expected = Matrix3::new(1, 0, 0, 0, 2, 0, 0, 0, 3);
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let a = Matrix3::from_diagonal(&diag);
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assert_eq!(a, expected);
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}
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#[test]
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fn from_rows() {
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let rows = &[
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RowVector4::new(11, 12, 13, 14),
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RowVector4::new(21, 22, 23, 24),
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RowVector4::new(31, 32, 33, 34),
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];
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let expected = Matrix3x4::new(11, 12, 13, 14, 21, 22, 23, 24, 31, 32, 33, 34);
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let a = Matrix3x4::from_rows(rows);
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assert_eq!(a, expected);
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}
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#[test]
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fn from_columns() {
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let columns = &[
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Vector3::new(11, 21, 31),
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Vector3::new(12, 22, 32),
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Vector3::new(13, 23, 33),
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Vector3::new(14, 24, 34),
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];
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let expected = Matrix3x4::new(11, 12, 13, 14, 21, 22, 23, 24, 31, 32, 33, 34);
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let a = Matrix3x4::from_columns(columns);
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assert_eq!(a, expected);
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}
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#[test]
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fn from_columns_dynamic() {
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let columns = &[
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DVector::from_row_slice(&[11, 21, 31]),
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DVector::from_row_slice(&[12, 22, 32]),
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DVector::from_row_slice(&[13, 23, 33]),
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DVector::from_row_slice(&[14, 24, 34]),
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];
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let expected = DMatrix::from_row_slice(3, 4, &[11, 12, 13, 14, 21, 22, 23, 24, 31, 32, 33, 34]);
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let a = DMatrix::from_columns(columns);
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assert_eq!(a, expected);
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}
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#[test]
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#[should_panic]
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fn from_too_many_rows() {
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let rows = &[
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RowVector4::new(11, 12, 13, 14),
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RowVector4::new(21, 22, 23, 24),
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RowVector4::new(31, 32, 33, 34),
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RowVector4::new(31, 32, 33, 34),
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];
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let _ = Matrix3x4::from_rows(rows);
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}
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#[test]
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#[should_panic]
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fn from_not_enough_columns() {
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let columns = &[Vector3::new(11, 21, 31), Vector3::new(14, 24, 34)];
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let _ = Matrix3x4::from_columns(columns);
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}
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#[test]
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#[should_panic]
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fn from_rows_with_different_dimensions() {
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let columns = &[
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DVector::from_row_slice(&[11, 21, 31]),
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DVector::from_row_slice(&[12, 22, 32, 33]),
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];
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let _ = DMatrix::from_columns(columns);
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}
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#[test]
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fn copy_from_slice() {
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let mut a = Matrix3::zeros();
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let data = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0];
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let expected_a = Matrix3::new(1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0);
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a.copy_from_slice(&data);
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assert_eq!(a, expected_a);
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}
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#[should_panic]
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#[test]
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fn copy_from_slice_too_small() {
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let mut a = Matrix3::zeros();
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let data = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0];
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a.copy_from_slice(&data);
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}
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#[should_panic]
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#[test]
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fn copy_from_slice_too_large() {
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let mut a = Matrix3::zeros();
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let data = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0];
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a.copy_from_slice(&data);
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}
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#[test]
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fn to_homogeneous() {
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let a = Vector3::new(1.0, 2.0, 3.0);
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let expected_a = Vector4::new(1.0, 2.0, 3.0, 0.0);
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let b = DVector::from_row_slice(&[1.0, 2.0, 3.0]);
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let expected_b = DVector::from_row_slice(&[1.0, 2.0, 3.0, 0.0]);
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let c = Matrix2::new(1.0, 2.0, 3.0, 4.0);
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let expected_c = Matrix3::new(1.0, 2.0, 0.0, 3.0, 4.0, 0.0, 0.0, 0.0, 1.0);
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let d = DMatrix::from_row_slice(2, 2, &[1.0, 2.0, 3.0, 4.0]);
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let expected_d = DMatrix::from_row_slice(3, 3, &[1.0, 2.0, 0.0, 3.0, 4.0, 0.0, 0.0, 0.0, 1.0]);
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assert_eq!(a.to_homogeneous(), expected_a);
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assert_eq!(b.to_homogeneous(), expected_b);
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assert_eq!(c.to_homogeneous(), expected_c);
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assert_eq!(d.to_homogeneous(), expected_d);
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}
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#[test]
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fn push() {
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let a = Vector3::new(1.0, 2.0, 3.0);
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let expected_a = Vector4::new(1.0, 2.0, 3.0, 4.0);
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let b = DVector::from_row_slice(&[1.0, 2.0, 3.0]);
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let expected_b = DVector::from_row_slice(&[1.0, 2.0, 3.0, 4.0]);
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assert_eq!(a.push(4.0), expected_a);
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assert_eq!(b.push(4.0), expected_b);
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}
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#[test]
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fn simple_add() {
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let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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let b = Matrix2x3::new(10.0, 20.0, 30.0, 40.0, 50.0, 60.0);
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let c = DMatrix::from_row_slice(2, 3, &[10.0, 20.0, 30.0, 40.0, 50.0, 60.0]);
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let expected = Matrix2x3::new(11.0, 22.0, 33.0, 44.0, 55.0, 66.0);
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assert_eq!(expected, &a + &b);
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assert_eq!(expected, &a + b);
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assert_eq!(expected, a + &b);
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assert_eq!(expected, a + b);
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// Sum of a static matrix with a dynamic one.
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assert_eq!(expected, &a + &c);
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assert_eq!(expected, a + &c);
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assert_eq!(expected, &c + &a);
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assert_eq!(expected, &c + a);
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}
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#[test]
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fn simple_sum() {
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type M = Matrix2x3<f32>;
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let a = M::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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let b = M::new(10.0, 20.0, 30.0, 40.0, 50.0, 60.0);
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let c = M::new(100.0, 200.0, 300.0, 400.0, 500.0, 600.0);
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assert_eq!(M::zero(), Vec::<M>::new().iter().sum());
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assert_eq!(M::zero(), Vec::<M>::new().into_iter().sum());
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assert_eq!(a + b, vec![a, b].iter().sum());
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assert_eq!(a + b, vec![a, b].into_iter().sum());
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assert_eq!(a + b + c, vec![a, b, c].iter().sum());
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assert_eq!(a + b + c, vec![a, b, c].into_iter().sum());
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}
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#[test]
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fn simple_scalar_mul() {
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let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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let expected = Matrix2x3::new(10.0, 20.0, 30.0, 40.0, 50.0, 60.0);
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assert_eq!(expected, a * 10.0);
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assert_eq!(expected, &a * 10.0);
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assert_eq!(expected, 10.0 * a);
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assert_eq!(expected, 10.0 * &a);
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}
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#[test]
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fn simple_mul() {
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let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
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let b = Matrix3x4::new(
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10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0, 110.0, 120.0,
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);
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let expected = Matrix2x4::new(380.0, 440.0, 500.0, 560.0, 830.0, 980.0, 1130.0, 1280.0);
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assert_eq!(expected, &a * &b);
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assert_eq!(expected, a * &b);
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assert_eq!(expected, &a * b);
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assert_eq!(expected, a * b);
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}
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#[test]
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fn simple_product() {
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type M = Matrix3<f32>;
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|
let a = M::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0);
|
|
let b = M::new(10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0);
|
|
let c = M::new(
|
|
100.0, 200.0, 300.0, 400.0, 500.0, 600.0, 700.0, 800.0, 900.0,
|
|
);
|
|
|
|
assert_eq!(M::one(), Vec::<M>::new().iter().product());
|
|
assert_eq!(M::one(), Vec::<M>::new().into_iter().product());
|
|
assert_eq!(a * b, vec![a, b].iter().product());
|
|
assert_eq!(a * b, vec![a, b].into_iter().product());
|
|
assert_eq!(a * b * c, vec![a, b, c].iter().product());
|
|
assert_eq!(a * b * c, vec![a, b, c].into_iter().product());
|
|
}
|
|
|
|
#[test]
|
|
fn cross_product_vector_and_row_vector() {
|
|
let v1 = Vector3::new(1.0, 2.0, 3.0);
|
|
let v2 = Vector3::new(1.0, 5.0, 7.0);
|
|
let column_cross = v1.cross(&v2);
|
|
assert_eq!(column_cross, Vector3::new(-1.0, -4.0, 3.0));
|
|
|
|
let v1 = RowVector3::new(1.0, 2.0, 3.0);
|
|
let v2 = RowVector3::new(1.0, 5.0, 7.0);
|
|
let row_cross = v1.cross(&v2);
|
|
assert_eq!(row_cross, RowVector3::new(-1.0, -4.0, 3.0));
|
|
|
|
assert_eq!(
|
|
Vector3::new(1.0, 1.0, 0.0)
|
|
.cross(&Vector3::new(-0.5, 17.0, 0.0))
|
|
.transpose(),
|
|
RowVector3::new(1.0, 1.0, 0.0).cross(&RowVector3::new(-0.5, 17.0, 0.0))
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn simple_scalar_conversion() {
|
|
let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
|
|
let expected = Matrix2x3::new(1, 2, 3, 4, 5, 6);
|
|
|
|
let a_u32: Matrix2x3<u32> = na::try_convert(a).unwrap(); // f32 -> u32
|
|
let a_f32: Matrix2x3<f32> = na::convert(a_u32); // u32 -> f32
|
|
|
|
assert_eq!(a, a_f32);
|
|
assert_eq!(expected, a_u32);
|
|
}
|
|
|
|
#[test]
|
|
fn apply() {
|
|
let mut a = Matrix4::new(
|
|
1.1f32, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 8.8, 7.7, 6.6, 5.5, 4.4, 3.3, 2.2,
|
|
);
|
|
|
|
let expected = Matrix4::new(
|
|
1.0, 2.0, 3.0, 4.0, 6.0, 7.0, 8.0, 9.0, 10.0, 9.0, 8.0, 7.0, 6.0, 4.0, 3.0, 2.0,
|
|
);
|
|
|
|
a.apply(|e| *e = e.round());
|
|
|
|
assert_eq!(a, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn map() {
|
|
let a = Matrix4::new(
|
|
1.1f64, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 8.8, 7.7, 6.6, 5.5, 4.4, 3.3, 2.2,
|
|
);
|
|
|
|
let expected = Matrix4::new(1, 2, 3, 4, 6, 7, 8, 9, 10, 9, 8, 7, 6, 4, 3, 2);
|
|
|
|
let computed = a.map(|e| e.round() as i64);
|
|
|
|
assert_eq!(computed, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn map_with_location() {
|
|
let a = Matrix4::new(1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4);
|
|
|
|
let expected = Matrix4::new(1, 2, 3, 4, 3, 4, 5, 6, 5, 6, 7, 8, 7, 8, 9, 10);
|
|
|
|
let computed = a.map_with_location(|i, j, e| e + i + j);
|
|
|
|
assert_eq!(computed, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn zip_map() {
|
|
let a = Matrix3::new(11i32, 12, 13, 21, 22, 23, 31, 32, 33);
|
|
|
|
let b = Matrix3::new(11u32, 12, 13, 21, 22, 23, 31, 32, 33);
|
|
|
|
let expected = Matrix3::new(22.0f32, 24.0, 26.0, 42.0, 44.0, 46.0, 62.0, 64.0, 66.0);
|
|
|
|
let computed = a.zip_map(&b, |ea, eb| ea as f32 + eb as f32);
|
|
|
|
assert_eq!(computed, expected);
|
|
}
|
|
|
|
#[test]
|
|
#[should_panic]
|
|
fn trace_panic() {
|
|
let m = DMatrix::<f32>::new_random(2, 3);
|
|
let _ = m.trace();
|
|
}
|
|
|
|
#[test]
|
|
fn trace() {
|
|
let m = Matrix2::new(1.0, 20.0, 30.0, 4.0);
|
|
assert_eq!(m.trace(), 5.0);
|
|
}
|
|
|
|
#[test]
|
|
fn simple_transpose() {
|
|
let a = Matrix2x3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
|
|
let expected = Matrix3x2::new(1.0, 4.0, 2.0, 5.0, 3.0, 6.0);
|
|
|
|
assert_eq!(a.transpose(), expected);
|
|
}
|
|
|
|
#[test]
|
|
fn simple_transpose_mut() {
|
|
let mut a = Matrix3::new(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0);
|
|
let expected = Matrix3::new(1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0);
|
|
|
|
a.transpose_mut();
|
|
assert_eq!(a, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn vector_index_mut() {
|
|
let mut v = Vector3::new(1, 2, 3);
|
|
|
|
assert_eq!(v[0], 1);
|
|
assert_eq!(v[1], 2);
|
|
assert_eq!(v[2], 3);
|
|
|
|
v[0] = 10;
|
|
v[1] = 20;
|
|
v[2] = 30;
|
|
|
|
assert_eq!(v, Vector3::new(10, 20, 30));
|
|
}
|
|
|
|
#[test]
|
|
fn components_mut() {
|
|
let mut m2 = Matrix2::from_element(1.0);
|
|
let mut m3 = Matrix3::from_element(1.0);
|
|
let mut m4 = Matrix4::from_element(1.0);
|
|
let mut m5 = Matrix5::from_element(1.0);
|
|
let mut m6 = Matrix6::from_element(1.0);
|
|
|
|
m2.m11 = 0.0;
|
|
m2.m12 = 0.0;
|
|
m2.m21 = 0.0;
|
|
m2.m22 = 0.0;
|
|
|
|
m3.m11 = 0.0;
|
|
m3.m12 = 0.0;
|
|
m3.m13 = 0.0;
|
|
m3.m21 = 0.0;
|
|
m3.m22 = 0.0;
|
|
m3.m23 = 0.0;
|
|
m3.m31 = 0.0;
|
|
m3.m32 = 0.0;
|
|
m3.m33 = 0.0;
|
|
|
|
m4.m11 = 0.0;
|
|
m4.m12 = 0.0;
|
|
m4.m13 = 0.0;
|
|
m4.m14 = 0.0;
|
|
m4.m21 = 0.0;
|
|
m4.m22 = 0.0;
|
|
m4.m23 = 0.0;
|
|
m4.m24 = 0.0;
|
|
m4.m31 = 0.0;
|
|
m4.m32 = 0.0;
|
|
m4.m33 = 0.0;
|
|
m4.m34 = 0.0;
|
|
m4.m41 = 0.0;
|
|
m4.m42 = 0.0;
|
|
m4.m43 = 0.0;
|
|
m4.m44 = 0.0;
|
|
|
|
m5.m11 = 0.0;
|
|
m5.m12 = 0.0;
|
|
m5.m13 = 0.0;
|
|
m5.m14 = 0.0;
|
|
m5.m15 = 0.0;
|
|
m5.m21 = 0.0;
|
|
m5.m22 = 0.0;
|
|
m5.m23 = 0.0;
|
|
m5.m24 = 0.0;
|
|
m5.m25 = 0.0;
|
|
m5.m31 = 0.0;
|
|
m5.m32 = 0.0;
|
|
m5.m33 = 0.0;
|
|
m5.m34 = 0.0;
|
|
m5.m35 = 0.0;
|
|
m5.m41 = 0.0;
|
|
m5.m42 = 0.0;
|
|
m5.m43 = 0.0;
|
|
m5.m44 = 0.0;
|
|
m5.m45 = 0.0;
|
|
m5.m51 = 0.0;
|
|
m5.m52 = 0.0;
|
|
m5.m53 = 0.0;
|
|
m5.m54 = 0.0;
|
|
m5.m55 = 0.0;
|
|
|
|
m6.m11 = 0.0;
|
|
m6.m12 = 0.0;
|
|
m6.m13 = 0.0;
|
|
m6.m14 = 0.0;
|
|
m6.m15 = 0.0;
|
|
m6.m16 = 0.0;
|
|
m6.m21 = 0.0;
|
|
m6.m22 = 0.0;
|
|
m6.m23 = 0.0;
|
|
m6.m24 = 0.0;
|
|
m6.m25 = 0.0;
|
|
m6.m26 = 0.0;
|
|
m6.m31 = 0.0;
|
|
m6.m32 = 0.0;
|
|
m6.m33 = 0.0;
|
|
m6.m34 = 0.0;
|
|
m6.m35 = 0.0;
|
|
m6.m36 = 0.0;
|
|
m6.m41 = 0.0;
|
|
m6.m42 = 0.0;
|
|
m6.m43 = 0.0;
|
|
m6.m44 = 0.0;
|
|
m6.m45 = 0.0;
|
|
m6.m46 = 0.0;
|
|
m6.m51 = 0.0;
|
|
m6.m52 = 0.0;
|
|
m6.m53 = 0.0;
|
|
m6.m54 = 0.0;
|
|
m6.m55 = 0.0;
|
|
m6.m56 = 0.0;
|
|
m6.m61 = 0.0;
|
|
m6.m62 = 0.0;
|
|
m6.m63 = 0.0;
|
|
m6.m64 = 0.0;
|
|
m6.m65 = 0.0;
|
|
m6.m66 = 0.0;
|
|
|
|
assert!(m2.is_zero());
|
|
assert!(m3.is_zero());
|
|
assert!(m4.is_zero());
|
|
assert!(m5.is_zero());
|
|
assert!(m6.is_zero());
|
|
|
|
let mut v1 = Vector1::from_element(1.0);
|
|
let mut v2 = Vector2::from_element(1.0);
|
|
let mut v3 = Vector3::from_element(1.0);
|
|
let mut v4 = Vector4::from_element(1.0);
|
|
let mut v5 = Vector5::from_element(1.0);
|
|
let mut v6 = Vector6::from_element(1.0);
|
|
|
|
v1.x = 0.0;
|
|
v2.x = 0.0;
|
|
v2.y = 0.0;
|
|
v3.x = 0.0;
|
|
v3.y = 0.0;
|
|
v3.z = 0.0;
|
|
v4.x = 0.0;
|
|
v4.y = 0.0;
|
|
v4.z = 0.0;
|
|
v4.w = 0.0;
|
|
v5.x = 0.0;
|
|
v5.y = 0.0;
|
|
v5.z = 0.0;
|
|
v5.w = 0.0;
|
|
v5.a = 0.0;
|
|
v6.x = 0.0;
|
|
v6.y = 0.0;
|
|
v6.z = 0.0;
|
|
v6.w = 0.0;
|
|
v6.a = 0.0;
|
|
v6.b = 0.0;
|
|
|
|
assert!(v1.is_zero());
|
|
assert!(v2.is_zero());
|
|
assert!(v3.is_zero());
|
|
assert!(v4.is_zero());
|
|
assert!(v5.is_zero());
|
|
assert!(v6.is_zero());
|
|
|
|
// Check that the components order is correct.
|
|
m3.m11 = 11.0;
|
|
m3.m12 = 12.0;
|
|
m3.m13 = 13.0;
|
|
m3.m21 = 21.0;
|
|
m3.m22 = 22.0;
|
|
m3.m23 = 23.0;
|
|
m3.m31 = 31.0;
|
|
m3.m32 = 32.0;
|
|
m3.m33 = 33.0;
|
|
|
|
let expected_m3 = Matrix3::new(11.0, 12.0, 13.0, 21.0, 22.0, 23.0, 31.0, 32.0, 33.0);
|
|
assert_eq!(expected_m3, m3);
|
|
}
|
|
|
|
#[test]
|
|
fn kronecker() {
|
|
let a = Matrix2x3::new(11, 12, 13, 21, 22, 23);
|
|
|
|
let b = Matrix4x5::new(
|
|
110, 120, 130, 140, 150, 210, 220, 230, 240, 250, 310, 320, 330, 340, 350, 410, 420, 430,
|
|
440, 450,
|
|
);
|
|
|
|
let expected = OMatrix::<_, U8, U15>::from_row_slice(&[
|
|
1210, 1320, 1430, 1540, 1650, 1320, 1440, 1560, 1680, 1800, 1430, 1560, 1690, 1820, 1950,
|
|
2310, 2420, 2530, 2640, 2750, 2520, 2640, 2760, 2880, 3000, 2730, 2860, 2990, 3120, 3250,
|
|
3410, 3520, 3630, 3740, 3850, 3720, 3840, 3960, 4080, 4200, 4030, 4160, 4290, 4420, 4550,
|
|
4510, 4620, 4730, 4840, 4950, 4920, 5040, 5160, 5280, 5400, 5330, 5460, 5590, 5720, 5850,
|
|
2310, 2520, 2730, 2940, 3150, 2420, 2640, 2860, 3080, 3300, 2530, 2760, 2990, 3220, 3450,
|
|
4410, 4620, 4830, 5040, 5250, 4620, 4840, 5060, 5280, 5500, 4830, 5060, 5290, 5520, 5750,
|
|
6510, 6720, 6930, 7140, 7350, 6820, 7040, 7260, 7480, 7700, 7130, 7360, 7590, 7820, 8050,
|
|
8610, 8820, 9030, 9240, 9450, 9020, 9240, 9460, 9680, 9900, 9430, 9660, 9890, 10120, 10350,
|
|
]);
|
|
|
|
let computed = a.kronecker(&b);
|
|
|
|
assert_eq!(computed, expected);
|
|
|
|
let a = Vector2::new(1, 2);
|
|
let b = Vector3::new(10, 20, 30);
|
|
let expected = Vector6::new(10, 20, 30, 20, 40, 60);
|
|
|
|
assert_eq!(a.kronecker(&b), expected);
|
|
|
|
let a = Vector2::new(1, 2);
|
|
let b = RowVector4::new(10, 20, 30, 40);
|
|
let expected = Matrix2x4::new(10, 20, 30, 40, 20, 40, 60, 80);
|
|
|
|
assert_eq!(a.kronecker(&b), expected);
|
|
}
|
|
|
|
#[test]
|
|
fn set_row_column() {
|
|
let a = Matrix4x5::new(
|
|
11, 12, 13, 14, 15, 21, 22, 23, 24, 25, 31, 32, 33, 34, 35, 41, 42, 43, 44, 45,
|
|
);
|
|
|
|
let expected1 = Matrix4x5::new(
|
|
11, 12, 13, 14, 15, 42, 43, 44, 45, 46, 31, 32, 33, 34, 35, 41, 42, 43, 44, 45,
|
|
);
|
|
|
|
let expected2 = Matrix4x5::new(
|
|
11, 12, 100, 14, 15, 42, 43, 101, 45, 46, 31, 32, 102, 34, 35, 41, 42, 103, 44, 45,
|
|
);
|
|
|
|
let row = RowVector5::new(42, 43, 44, 45, 46);
|
|
let col = Vector4::new(100, 101, 102, 103);
|
|
|
|
let mut computed = a;
|
|
|
|
computed.set_row(1, &row);
|
|
assert_eq!(expected1, computed);
|
|
|
|
computed.set_column(2, &col);
|
|
assert_eq!(expected2, computed);
|
|
}
|
|
|
|
#[test]
|
|
fn partial_clamp() {
|
|
// NOTE: from #401.
|
|
let n = Vector2::new(1.5, 0.0);
|
|
let min = Vector2::new(-75.0, -0.0);
|
|
let max = Vector2::new(75.0, 0.0);
|
|
let inter = na::partial_clamp(&n, &min, &max);
|
|
assert_eq!(*inter.unwrap(), n);
|
|
}
|
|
|
|
#[test]
|
|
fn partial_cmp() {
|
|
let a = Vector2::new(1.0, 6.0);
|
|
let b = Vector2::new(1.0, 3.0);
|
|
let c = Vector2::new(2.0, 7.0);
|
|
let d = Vector2::new(0.0, 7.0);
|
|
assert_eq!(a.partial_cmp(&a), Some(Ordering::Equal));
|
|
assert_eq!(a.partial_cmp(&b), Some(Ordering::Greater));
|
|
assert_eq!(a.partial_cmp(&c), Some(Ordering::Less));
|
|
assert_eq!(a.partial_cmp(&d), None);
|
|
}
|
|
|
|
#[test]
|
|
fn swizzle() {
|
|
let a = Vector2::new(1.0f32, 2.0);
|
|
let b = Vector3::new(1.0f32, 2.0, 3.0);
|
|
let c = Vector4::new(1.0f32, 2.0, 3.0, 4.0);
|
|
|
|
assert_eq!(a.xy(), Vector2::new(1.0, 2.0));
|
|
assert_eq!(a.yx(), Vector2::new(2.0, 1.0));
|
|
assert_eq!(a.xx(), Vector2::new(1.0, 1.0));
|
|
assert_eq!(a.yy(), Vector2::new(2.0, 2.0));
|
|
|
|
assert_eq!(a.xxx(), Vector3::new(1.0, 1.0, 1.0));
|
|
assert_eq!(a.yyy(), Vector3::new(2.0, 2.0, 2.0));
|
|
assert_eq!(a.xyx(), Vector3::new(1.0, 2.0, 1.0));
|
|
assert_eq!(a.yxy(), Vector3::new(2.0, 1.0, 2.0));
|
|
|
|
assert_eq!(b.xy(), Vector2::new(1.0, 2.0));
|
|
assert_eq!(b.yx(), Vector2::new(2.0, 1.0));
|
|
assert_eq!(b.xx(), Vector2::new(1.0, 1.0));
|
|
assert_eq!(b.yy(), Vector2::new(2.0, 2.0));
|
|
|
|
assert_eq!(b.xz(), Vector2::new(1.0, 3.0));
|
|
assert_eq!(b.zx(), Vector2::new(3.0, 1.0));
|
|
assert_eq!(b.yz(), Vector2::new(2.0, 3.0));
|
|
assert_eq!(b.zy(), Vector2::new(3.0, 2.0));
|
|
assert_eq!(b.zz(), Vector2::new(3.0, 3.0));
|
|
|
|
assert_eq!(b.xyz(), Vector3::new(1.0, 2.0, 3.0));
|
|
assert_eq!(b.xxx(), Vector3::new(1.0, 1.0, 1.0));
|
|
assert_eq!(b.yyy(), Vector3::new(2.0, 2.0, 2.0));
|
|
assert_eq!(b.zzz(), Vector3::new(3.0, 3.0, 3.0));
|
|
assert_eq!(b.zxy(), Vector3::new(3.0, 1.0, 2.0));
|
|
assert_eq!(b.zxz(), Vector3::new(3.0, 1.0, 3.0));
|
|
assert_eq!(b.zyz(), Vector3::new(3.0, 2.0, 3.0));
|
|
|
|
assert_eq!(c.xy(), Vector2::new(1.0, 2.0));
|
|
assert_eq!(c.yx(), Vector2::new(2.0, 1.0));
|
|
assert_eq!(c.xx(), Vector2::new(1.0, 1.0));
|
|
assert_eq!(c.yy(), Vector2::new(2.0, 2.0));
|
|
|
|
assert_eq!(c.xz(), Vector2::new(1.0, 3.0));
|
|
assert_eq!(c.zx(), Vector2::new(3.0, 1.0));
|
|
assert_eq!(c.yz(), Vector2::new(2.0, 3.0));
|
|
assert_eq!(c.zy(), Vector2::new(3.0, 2.0));
|
|
assert_eq!(c.zz(), Vector2::new(3.0, 3.0));
|
|
|
|
assert_eq!(c.xyz(), Vector3::new(1.0, 2.0, 3.0));
|
|
assert_eq!(c.xxx(), Vector3::new(1.0, 1.0, 1.0));
|
|
assert_eq!(c.yyy(), Vector3::new(2.0, 2.0, 2.0));
|
|
assert_eq!(c.zzz(), Vector3::new(3.0, 3.0, 3.0));
|
|
assert_eq!(c.zxy(), Vector3::new(3.0, 1.0, 2.0));
|
|
assert_eq!(c.zxz(), Vector3::new(3.0, 1.0, 3.0));
|
|
assert_eq!(c.zyz(), Vector3::new(3.0, 2.0, 3.0));
|
|
}
|
|
|
|
#[cfg(feature = "proptest-support")]
|
|
mod transposition_tests {
|
|
use super::*;
|
|
use crate::proptest::{dmatrix, matrix, vector4, PROPTEST_F64};
|
|
use proptest::{prop_assert, prop_assert_eq, proptest};
|
|
|
|
proptest! {
|
|
#[test]
|
|
fn transpose_transpose_is_self(m in matrix(PROPTEST_F64, Const::<2>, Const::<3>)) {
|
|
prop_assert_eq!(m.transpose().transpose(), m)
|
|
}
|
|
|
|
#[test]
|
|
fn transpose_mut_transpose_mut_is_self(m in matrix(PROPTEST_F64, Const::<3>, Const::<3>)) {
|
|
let mut mm = m;
|
|
mm.transpose_mut();
|
|
mm.transpose_mut();
|
|
prop_assert_eq!(m, mm)
|
|
}
|
|
|
|
#[test]
|
|
fn transpose_transpose_is_id_dyn(m in dmatrix()) {
|
|
prop_assert_eq!(m.transpose().transpose(), m)
|
|
}
|
|
|
|
#[test]
|
|
fn check_transpose_components_dyn(m in dmatrix()) {
|
|
let tr = m.transpose();
|
|
let (nrows, ncols) = m.shape();
|
|
|
|
prop_assert!(nrows == tr.shape().1 && ncols == tr.shape().0);
|
|
|
|
for i in 0 .. nrows {
|
|
for j in 0 .. ncols {
|
|
prop_assert_eq!(m[(i, j)], tr[(j, i)]);
|
|
}
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn tr_mul_is_transpose_then_mul(m in matrix(PROPTEST_F64, Const::<4>, Const::<6>), v in vector4()) {
|
|
prop_assert!(relative_eq!(m.transpose() * v, m.tr_mul(&v), epsilon = 1.0e-7))
|
|
}
|
|
}
|
|
}
|
|
|
|
#[cfg(feature = "proptest-support")]
|
|
mod inversion_tests {
|
|
use super::*;
|
|
use crate::proptest::*;
|
|
use na::Matrix1;
|
|
use proptest::{prop_assert, proptest};
|
|
|
|
proptest! {
|
|
#[test]
|
|
fn self_mul_inv_is_id_dim1(m in matrix1()) {
|
|
if let Some(im) = m.try_inverse() {
|
|
let id = Matrix1::one();
|
|
prop_assert!(relative_eq!(im * m, id, epsilon = 1.0e-7));
|
|
prop_assert!(relative_eq!(m * im, id, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn self_mul_inv_is_id_dim2(m in matrix2()) {
|
|
if let Some(im) = m.try_inverse() {
|
|
let id = Matrix2::one();
|
|
prop_assert!(relative_eq!(im * m, id, epsilon = 1.0e-7));
|
|
prop_assert!(relative_eq!(m * im, id, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn self_mul_inv_is_id_dim3(m in matrix3()) {
|
|
if let Some(im) = m.try_inverse() {
|
|
let id = Matrix3::one();
|
|
prop_assert!(relative_eq!(im * m, id, epsilon = 1.0e-7));
|
|
prop_assert!(relative_eq!(m * im, id, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn self_mul_inv_is_id_dim4(m in matrix4()) {
|
|
if let Some(im) = m.try_inverse() {
|
|
let id = Matrix4::one();
|
|
prop_assert!(relative_eq!(im * m, id, epsilon = 1.0e-7));
|
|
prop_assert!(relative_eq!(m * im, id, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn self_mul_inv_is_id_dim6(m in matrix6()) {
|
|
if let Some(im) = m.try_inverse() {
|
|
let id = Matrix6::one();
|
|
prop_assert!(relative_eq!(im * m, id, epsilon = 1.0e-7));
|
|
prop_assert!(relative_eq!(m * im, id, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
#[cfg(feature = "proptest-support")]
|
|
mod normalization_tests {
|
|
use crate::proptest::*;
|
|
use proptest::{prop_assert, proptest};
|
|
|
|
proptest! {
|
|
#[test]
|
|
fn normalized_vec_norm_is_one(v in vector3()) {
|
|
if let Some(nv) = v.try_normalize(1.0e-10) {
|
|
prop_assert!(relative_eq!(nv.norm(), 1.0, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn normalized_vec_norm_is_one_dyn(v in dvector()) {
|
|
if let Some(nv) = v.try_normalize(1.0e-10) {
|
|
prop_assert!(relative_eq!(nv.norm(), 1.0, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
#[cfg(all(feature = "proptest-support", feature = "alga"))]
|
|
// TODO: move this to alga ?
|
|
mod finite_dim_inner_space_tests {
|
|
use super::*;
|
|
use crate::proptest::*;
|
|
use alga::linear::FiniteDimInnerSpace;
|
|
use proptest::collection::vec;
|
|
use proptest::{prop_assert, proptest};
|
|
use std::fmt::Display;
|
|
|
|
macro_rules! finite_dim_inner_space_test(
|
|
($($Vector: ident, $vstrategy: ident, $orthonormal_subspace: ident, $orthonormalization: ident);* $(;)*) => {$(
|
|
proptest! {
|
|
#[test]
|
|
fn $orthonormal_subspace(vs in vec($vstrategy(), 0..10)) {
|
|
let mut given_basis = vs.clone();
|
|
let given_basis_dim = $Vector::orthonormalize(&mut given_basis[..]);
|
|
let mut ortho_basis = Vec::new();
|
|
$Vector::orthonormal_subspace_basis(
|
|
&given_basis[.. given_basis_dim],
|
|
|e| { ortho_basis.push(*e); true }
|
|
);
|
|
|
|
prop_assert!(is_subspace_basis(&ortho_basis[..]));
|
|
|
|
for v in vs {
|
|
for b in &ortho_basis {
|
|
prop_assert!(relative_eq!(v.dot(b), 0.0, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn $orthonormalization(vs in vec($vstrategy(), 0..10)) {
|
|
let mut basis = vs.clone();
|
|
let subdim = $Vector::orthonormalize(&mut basis[..]);
|
|
|
|
prop_assert!(is_subspace_basis(&basis[.. subdim]));
|
|
|
|
for mut e in vs {
|
|
for b in &basis[.. subdim] {
|
|
e -= e.dot(b) * b
|
|
}
|
|
|
|
// Any element of `e` must be a linear combination of the basis elements.
|
|
prop_assert!(relative_eq!(e.norm(), 0.0, epsilon = 1.0e-7));
|
|
}
|
|
}
|
|
}
|
|
)*}
|
|
);
|
|
|
|
finite_dim_inner_space_test!(
|
|
Vector1, vector1, orthonormal_subspace_basis1, orthonormalize1;
|
|
Vector2, vector2, orthonormal_subspace_basis2, orthonormalize2;
|
|
Vector3, vector3, orthonormal_subspace_basis3, orthonormalize3;
|
|
Vector4, vector4, orthonormal_subspace_basis4, orthonormalize4;
|
|
Vector5, vector5, orthonormal_subspace_basis5, orthonormalize5;
|
|
Vector6, vector6, orthonormal_subspace_basis6, orthonormalize6;
|
|
);
|
|
|
|
/*
|
|
*
|
|
* Helper functions.
|
|
*
|
|
*/
|
|
fn is_subspace_basis<T: FiniteDimInnerSpace<RealField = f64, ComplexField = f64> + Display>(
|
|
vs: &[T],
|
|
) -> bool {
|
|
for i in 0..vs.len() {
|
|
// Basis elements must be normalized.
|
|
if !relative_eq!(vs[i].norm(), 1.0, epsilon = 1.0e-7) {
|
|
println!("Non-zero basis element norm: {}", vs[i].norm());
|
|
return false;
|
|
}
|
|
|
|
for j in 0..i {
|
|
// Basis elements must be orthogonal.
|
|
if !relative_eq!(vs[i].dot(&vs[j]), 0.0, epsilon = 1.0e-7) {
|
|
println!(
|
|
"Non-orthogonal basis elements: {} · {} = {}",
|
|
vs[i],
|
|
vs[j],
|
|
vs[i].dot(&vs[j])
|
|
);
|
|
return false;
|
|
}
|
|
}
|
|
}
|
|
|
|
true
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn partial_eq_shape_mismatch() {
|
|
let a = Matrix2::new(1, 2, 3, 4);
|
|
let b = Matrix2x3::new(1, 2, 3, 4, 5, 6);
|
|
assert_ne!(a, b);
|
|
assert_ne!(b, a);
|
|
}
|
|
|
|
#[test]
|
|
fn partial_eq_different_types() {
|
|
// Ensure comparability of several types of Matrices
|
|
let dynamic_mat = DMatrix::from_row_slice(2, 4, &[1, 2, 3, 4, 5, 6, 7, 8]);
|
|
let static_mat = Matrix2x4::new(1, 2, 3, 4, 5, 6, 7, 8);
|
|
|
|
let mut typenum_static_mat = OMatrix::<u8, Const<1024>, Const<4>>::zeros();
|
|
let mut view = typenum_static_mat.view_mut((0, 0), (2, 4));
|
|
view += static_mat;
|
|
|
|
let fview_of_dmat = dynamic_mat.fixed_view::<2, 2>(0, 0);
|
|
let dview_of_dmat = dynamic_mat.view((0, 0), (2, 2));
|
|
let fview_of_smat = static_mat.fixed_view::<2, 2>(0, 0);
|
|
let dview_of_smat = static_mat.view((0, 0), (2, 2));
|
|
|
|
assert_eq!(dynamic_mat, static_mat);
|
|
assert_eq!(static_mat, dynamic_mat);
|
|
|
|
assert_eq!(dynamic_mat, view);
|
|
assert_eq!(view, dynamic_mat);
|
|
|
|
assert_eq!(static_mat, view);
|
|
assert_eq!(view, static_mat);
|
|
|
|
assert_eq!(fview_of_dmat, dview_of_dmat);
|
|
assert_eq!(dview_of_dmat, fview_of_dmat);
|
|
|
|
assert_eq!(fview_of_dmat, fview_of_smat);
|
|
assert_eq!(fview_of_smat, fview_of_dmat);
|
|
|
|
assert_eq!(fview_of_dmat, dview_of_smat);
|
|
assert_eq!(dview_of_smat, fview_of_dmat);
|
|
|
|
assert_eq!(dview_of_dmat, fview_of_smat);
|
|
assert_eq!(fview_of_smat, dview_of_dmat);
|
|
|
|
assert_eq!(dview_of_dmat, dview_of_smat);
|
|
assert_eq!(dview_of_smat, dview_of_dmat);
|
|
|
|
assert_eq!(fview_of_smat, dview_of_smat);
|
|
assert_eq!(dview_of_smat, fview_of_smat);
|
|
|
|
assert_ne!(dynamic_mat, dview_of_smat);
|
|
assert_ne!(dview_of_smat, dynamic_mat);
|
|
|
|
// TODO - implement those comparisons
|
|
// assert_ne!(static_mat, typenum_static_mat);
|
|
//assert_ne!(typenum_static_mat, static_mat);
|
|
}
|
|
|
|
fn generic_omatrix_to_string<D>(
|
|
vector: &nalgebra::OVector<f64, D>,
|
|
matrix: &nalgebra::OMatrix<f64, D, D>,
|
|
) -> (String, String)
|
|
where
|
|
D: nalgebra::Dim,
|
|
nalgebra::DefaultAllocator: nalgebra::base::allocator::Allocator<D>,
|
|
nalgebra::DefaultAllocator: nalgebra::base::allocator::Allocator<D, D>,
|
|
{
|
|
(vector.to_string(), matrix.to_string())
|
|
}
|
|
|
|
#[test]
|
|
fn omatrix_to_string() {
|
|
let dvec: nalgebra::DVector<f64> = nalgebra::dvector![1.0, 2.0];
|
|
let dmatr: nalgebra::DMatrix<f64> = nalgebra::dmatrix![1.0, 2.0; 3.0, 4.0];
|
|
let svec: nalgebra::SVector<f64, 2> = nalgebra::vector![1.0, 2.0];
|
|
let smatr: nalgebra::SMatrix<f64, 2, 2> = nalgebra::matrix![1.0, 2.0; 3.0, 4.0];
|
|
assert_eq!(
|
|
generic_omatrix_to_string(&dvec, &dmatr),
|
|
(dvec.to_string(), dmatr.to_string())
|
|
);
|
|
assert_eq!(
|
|
generic_omatrix_to_string(&svec, &smatr),
|
|
(svec.to_string(), smatr.to_string())
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn column_iteration() {
|
|
// dynamic matrix
|
|
let dmat = nalgebra::dmatrix![
|
|
13,14,15;
|
|
23,24,25;
|
|
33,34,35;
|
|
];
|
|
let mut col_iter = dmat.column_iter();
|
|
assert_eq!(col_iter.next(), Some(dmat.column(0)));
|
|
assert_eq!(col_iter.next(), Some(dmat.column(1)));
|
|
assert_eq!(col_iter.next(), Some(dmat.column(2)));
|
|
assert_eq!(col_iter.next(), None);
|
|
|
|
// statically sized matrix
|
|
let smat: nalgebra::SMatrix<f64, 2, 2> = nalgebra::matrix![1.0, 2.0; 3.0, 4.0];
|
|
let mut col_iter = smat.column_iter();
|
|
assert_eq!(col_iter.next(), Some(smat.column(0)));
|
|
assert_eq!(col_iter.next(), Some(smat.column(1)));
|
|
assert_eq!(col_iter.next(), None);
|
|
}
|
|
|
|
#[test]
|
|
fn column_iteration_mut() {
|
|
let mut dmat = nalgebra::dmatrix![
|
|
13,14,15;
|
|
23,24,25;
|
|
33,34,35;
|
|
];
|
|
let mut cloned = dmat.clone();
|
|
let mut col_iter = dmat.column_iter_mut();
|
|
assert_eq!(col_iter.next(), Some(cloned.column_mut(0)));
|
|
assert_eq!(col_iter.next(), Some(cloned.column_mut(1)));
|
|
assert_eq!(col_iter.next(), Some(cloned.column_mut(2)));
|
|
assert_eq!(col_iter.next(), None);
|
|
|
|
// statically sized matrix
|
|
let mut smat: nalgebra::SMatrix<f64, 2, 2> = nalgebra::matrix![1.0, 2.0; 3.0, 4.0];
|
|
let mut cloned = smat.clone();
|
|
let mut col_iter = smat.column_iter_mut();
|
|
assert_eq!(col_iter.next(), Some(cloned.column_mut(0)));
|
|
assert_eq!(col_iter.next(), Some(cloned.column_mut(1)));
|
|
assert_eq!(col_iter.next(), None);
|
|
}
|
|
|
|
#[test]
|
|
fn column_iteration_double_ended() {
|
|
let dmat = nalgebra::dmatrix![
|
|
13,14,15,16,17;
|
|
23,24,25,26,27;
|
|
33,34,35,36,37;
|
|
];
|
|
let mut col_iter = dmat.column_iter();
|
|
assert_eq!(col_iter.next(), Some(dmat.column(0)));
|
|
assert_eq!(col_iter.next(), Some(dmat.column(1)));
|
|
assert_eq!(col_iter.next_back(), Some(dmat.column(4)));
|
|
assert_eq!(col_iter.next_back(), Some(dmat.column(3)));
|
|
assert_eq!(col_iter.next(), Some(dmat.column(2)));
|
|
assert_eq!(col_iter.next_back(), None);
|
|
assert_eq!(col_iter.next(), None);
|
|
}
|
|
|
|
#[test]
|
|
fn column_iterator_double_ended_mut() {
|
|
let mut dmat = nalgebra::dmatrix![
|
|
13,14,15,16,17;
|
|
23,24,25,26,27;
|
|
33,34,35,36,37;
|
|
];
|
|
let mut cloned = dmat.clone();
|
|
let mut col_iter_mut = dmat.column_iter_mut();
|
|
assert_eq!(col_iter_mut.next(), Some(cloned.column_mut(0)));
|
|
assert_eq!(col_iter_mut.next(), Some(cloned.column_mut(1)));
|
|
assert_eq!(col_iter_mut.next_back(), Some(cloned.column_mut(4)));
|
|
assert_eq!(col_iter_mut.next_back(), Some(cloned.column_mut(3)));
|
|
assert_eq!(col_iter_mut.next(), Some(cloned.column_mut(2)));
|
|
assert_eq!(col_iter_mut.next_back(), None);
|
|
assert_eq!(col_iter_mut.next(), None);
|
|
}
|
|
|
|
#[test]
|
|
fn test_inversion_failure_leaves_matrix4_unchanged() {
|
|
let mut mat = na::Matrix4::new(
|
|
1.0, 2.0, 3.0, 4.0, 2.0, 4.0, 6.0, 8.0, 3.0, 6.0, 9.0, 12.0, 4.0, 8.0, 12.0, 16.0,
|
|
);
|
|
let expected = mat.clone();
|
|
assert!(!mat.try_inverse_mut());
|
|
assert_eq!(mat, expected);
|
|
}
|
|
|
|
#[test]
|
|
#[cfg(feature = "rayon")]
|
|
fn parallel_column_iteration() {
|
|
use nalgebra::dmatrix;
|
|
use rayon::prelude::*;
|
|
let dmat: DMatrix<f64> = dmatrix![
|
|
13.,14.;
|
|
23.,24.;
|
|
33.,34.;
|
|
];
|
|
let cloned = dmat.clone();
|
|
// test that correct columns are iterated over
|
|
dmat.par_column_iter().enumerate().for_each(|(idx, col)| {
|
|
assert_eq!(col, cloned.column(idx));
|
|
});
|
|
// test that a more complex expression produces the same
|
|
// result as the serial equivalent
|
|
let par_result: f64 = dmat.par_column_iter().map(|col| col.norm()).sum();
|
|
let ser_result: f64 = dmat.column_iter().map(|col| col.norm()).sum();
|
|
assert_eq!(par_result, ser_result);
|
|
|
|
// repeat this test using mutable iterators
|
|
let mut dmat = dmat;
|
|
dmat.par_column_iter_mut()
|
|
.enumerate()
|
|
.for_each(|(idx, col)| {
|
|
assert_eq!(col, cloned.column(idx));
|
|
});
|
|
|
|
let par_mut_result: f64 = dmat.par_column_iter_mut().map(|col| col.norm()).sum();
|
|
assert_eq!(par_mut_result, ser_result);
|
|
}
|
|
|
|
#[test]
|
|
#[cfg(feature = "rayon")]
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fn column_iteration_mut_double_ended() {
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let dmat = nalgebra::dmatrix![
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13,14,15,16,17;
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23,24,25,26,27;
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33,34,35,36,37;
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];
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let cloned = dmat.clone();
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let mut col_iter = dmat.column_iter();
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assert_eq!(col_iter.next(), Some(cloned.column(0)));
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assert_eq!(col_iter.next(), Some(cloned.column(1)));
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assert_eq!(col_iter.next_back(), Some(cloned.column(4)));
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assert_eq!(col_iter.next_back(), Some(cloned.column(3)));
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assert_eq!(col_iter.next(), Some(cloned.column(2)));
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assert_eq!(col_iter.next_back(), None);
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assert_eq!(col_iter.next(), None);
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}
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#[test]
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#[cfg(feature = "rayon")]
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fn parallel_column_iteration_mut() {
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use rayon::prelude::*;
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let mut first = DMatrix::<f32>::zeros(400, 300);
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let mut second = DMatrix::<f32>::zeros(400, 300);
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first
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.column_iter_mut()
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.enumerate()
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.for_each(|(idx, mut col)| col[idx] = 1.);
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second
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.par_column_iter_mut()
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.enumerate()
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.for_each(|(idx, mut col)| col[idx] = 1.);
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assert_eq!(first, second);
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assert_eq!(second, DMatrix::identity(400, 300));
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}
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