use na::{Matrix4, Schur}; fn schur_decompose_4x4(bh: &mut criterion::Criterion) { let m = Matrix4::::new_random(); bh.bench_function("schur_decompose_4x4", move |bh| { bh.iter(|| std::hint::black_box(Schur::new(m.clone()))) }); } fn schur_decompose_10x10(bh: &mut criterion::Criterion) { let m = crate::reproductible_dmatrix(10, 10); bh.bench_function("schur_decompose_10x10", move |bh| { bh.iter(|| std::hint::black_box(Schur::new(m.clone()))) }); } fn schur_decompose_100x100(bh: &mut criterion::Criterion) { let m = crate::reproductible_dmatrix(100, 100); bh.bench_function("schur_decompose_100x100", move |bh| { bh.iter(|| std::hint::black_box(Schur::new(m.clone()))) }); } fn schur_decompose_200x200(bh: &mut criterion::Criterion) { let m = crate::reproductible_dmatrix(200, 200); bh.bench_function("schur_decompose_200x200", move |bh| { bh.iter(|| std::hint::black_box(Schur::new(m.clone()))) }); } fn eigenvalues_4x4(bh: &mut criterion::Criterion) { let m = Matrix4::::new_random(); bh.bench_function("eigenvalues_4x4", move |bh| { bh.iter(|| std::hint::black_box(m.complex_eigenvalues())) }); } fn eigenvalues_10x10(bh: &mut criterion::Criterion) { let m = crate::reproductible_dmatrix(10, 10); bh.bench_function("eigenvalues_10x10", move |bh| { bh.iter(|| std::hint::black_box(m.complex_eigenvalues())) }); } fn eigenvalues_100x100(bh: &mut criterion::Criterion) { let m = crate::reproductible_dmatrix(100, 100); bh.bench_function("eigenvalues_100x100", move |bh| { bh.iter(|| std::hint::black_box(m.complex_eigenvalues())) }); } fn eigenvalues_200x200(bh: &mut criterion::Criterion) { let m = crate::reproductible_dmatrix(200, 200); bh.bench_function("eigenvalues_200x200", move |bh| { bh.iter(|| std::hint::black_box(m.complex_eigenvalues())) }); } criterion_group!( schur, schur_decompose_4x4, schur_decompose_10x10, schur_decompose_100x100, schur_decompose_200x200, eigenvalues_4x4, eigenvalues_10x10, eigenvalues_100x100, eigenvalues_200x200 );