M-Labs
/
nalgebra
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Use matrixcompare 0.2 with prop_assert_matrix_eq in Cholesky test

This commit is contained in:
Andreas Longva 2021-01-13 13:28:15 +01:00
parent 84557d8046
commit 3453577a16
2 changed files with 5 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
nalgebra-sparse/Cargo.toml
View File

@ -19,5 +19,5 @@ matrixcompare-core = { version = "0.1.0", optional = true }
[dev-dependencies]
itertools = "0.9"
matrixcompare = "0.1.3"
matrixcompare = { version = "0.2.0", features = [ "proptest-support" ] }
nalgebra = { version="0.23", path = "../", features = ["compare"] }

9
nalgebra-sparse/tests/unit_tests/cholesky.rs
View File

@ -6,7 +6,7 @@ use nalgebra_sparse::proptest::csc;
use nalgebra::{Matrix5, Vector5, Cholesky, DMatrix};
use proptest::prelude::*;
use matrixcompare::assert_matrix_eq;
use matrixcompare::{assert_matrix_eq, prop_assert_matrix_eq};
fn positive_definite() -> impl Strategy<Value=CscMatrix<f64>> {
let csc_f64 = csc(value_strategy::<f64>(),
@ -29,11 +29,10 @@ proptest! {
let l = cholesky.take_l();
let matrix_reconstructed = &l * l.transpose();
// TODO: Use matrixcompare instead
let diff = DMatrix::from(&(matrix_reconstructed - matrix));
prop_assert!(diff.abs().max() < 1e-8);
prop_assert_matrix_eq!(matrix_reconstructed, matrix, comp = abs, tol = 1e-8);
// TODO: Check that L is in fact lower triangular
let is_lower_triangular = l.triplet_iter().all(|(i, j, _)| j <= i);
prop_assert!(is_lower_triangular);
}
}