nalgebra/tests/sparse/cs_conversion.rs
2021-02-28 17:52:14 +01:00

87 lines
2.2 KiB
Rust

use na::{CsMatrix, DMatrix, Matrix4x5};
#[test]
fn cs_from_to_matrix() {
#[cfg_attr(rustfmt, rustfmt_skip)]
let m = Matrix4x5::new(
5.0, 6.0, 0.0, 8.0, 15.0,
9.0, 10.0, 11.0, 12.0, 0.0,
0.0, 0.0, 13.0, 0.0, 0.0,
0.0, 1.0, 4.0, 0.0, 14.0,
);
let cs: CsMatrix<_, _, _> = m.into();
assert!(cs.is_sorted());
let m2: Matrix4x5<_> = cs.into();
assert_eq!(m2, m);
}
#[test]
fn cs_matrix_from_triplet() {
let mut irows = vec![0, 0, 0, 0, 1, 1, 1, 1, 2, 3, 3, 3];
let mut icols = vec![0, 1, 3, 4, 0, 1, 2, 3, 2, 1, 2, 4];
let mut vals = vec![
5.0, 6.0, 8.0, 15.0, 9.0, 10.0, 11.0, 12.0, 13.0, 1.0, 4.0, 14.0,
];
#[cfg_attr(rustfmt, rustfmt_skip)]
let expected = DMatrix::from_row_slice(4, 5, &[
5.0, 6.0, 0.0, 8.0, 15.0,
9.0, 10.0, 11.0, 12.0, 0.0,
0.0, 0.0, 13.0, 0.0, 0.0,
0.0, 1.0, 4.0, 0.0, 14.0,
]);
let cs_expected = CsMatrix::from_parts(
4,
5,
vec![0, 2, 5, 8, 10],
vec![0, 1, 0, 1, 3, 1, 2, 3, 0, 1, 0, 3],
vec![
5.0, 9.0, 6.0, 10.0, 1.0, 11.0, 13.0, 4.0, 8.0, 12.0, 15.0, 14.0,
],
);
let cs_mat = CsMatrix::from_triplet(4, 5, &irows, &icols, &vals);
assert!(cs_mat.is_sorted());
assert_eq!(cs_mat, cs_expected);
let m: DMatrix<_> = cs_mat.into();
assert_eq!(m, expected);
/*
* Try again with some permutations.
*/
let permutations = [(2, 5), (0, 4), (8, 10), (1, 11)];
for (i, j) in &permutations {
irows.swap(*i, *j);
icols.swap(*i, *j);
vals.swap(*i, *j);
}
let cs_mat = CsMatrix::from_triplet(4, 5, &irows, &icols, &vals);
assert!(cs_mat.is_sorted());
assert_eq!(cs_mat, cs_expected);
let m: DMatrix<_> = cs_mat.into();
assert_eq!(m, expected);
/*
* Try again, duplicating all entries.
*/
let mut ir = irows.clone();
let mut ic = icols.clone();
let mut va = vals.clone();
irows.append(&mut ir);
icols.append(&mut ic);
vals.append(&mut va);
let cs_mat = CsMatrix::from_triplet(4, 5, &irows, &icols, &vals);
assert!(cs_mat.is_sorted());
assert_eq!(cs_mat, cs_expected * 2.0);
let m: DMatrix<_> = cs_mat.into();
assert_eq!(m, expected * 2.0);
}