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Diffstat (limited to 'vendor/smawk/tests/random_monge')
-rw-r--r-- | vendor/smawk/tests/random_monge/mod.rs | 83 |
1 files changed, 83 insertions, 0 deletions
diff --git a/vendor/smawk/tests/random_monge/mod.rs b/vendor/smawk/tests/random_monge/mod.rs new file mode 100644 index 0000000..50a932f --- /dev/null +++ b/vendor/smawk/tests/random_monge/mod.rs @@ -0,0 +1,83 @@ +//! Test functionality for generating random Monge matrices. + +// The code is put here so we can reuse it in different integration +// tests, without Cargo finding it when `cargo test` is run. See the +// section on "Submodules in Integration Tests" in +// https://doc.rust-lang.org/book/ch11-03-test-organization.html + +use ndarray::{s, Array2}; +use num_traits::PrimInt; +use rand::distributions::{Distribution, Standard}; +use rand::Rng; + +/// A Monge matrix can be decomposed into one of these primitive +/// building blocks. +#[derive(Copy, Clone)] +pub enum MongePrim { + ConstantRows, + ConstantCols, + UpperRightOnes, + LowerLeftOnes, +} + +impl MongePrim { + /// Generate a Monge matrix from a primitive. + pub fn to_matrix<T: PrimInt, R: Rng>(&self, m: usize, n: usize, rng: &mut R) -> Array2<T> + where + Standard: Distribution<T>, + { + let mut matrix = Array2::from_elem((m, n), T::zero()); + // Avoid panic in UpperRightOnes and LowerLeftOnes below. + if m == 0 || n == 0 { + return matrix; + } + + match *self { + MongePrim::ConstantRows => { + for mut row in matrix.rows_mut() { + if rng.gen::<bool>() { + row.fill(T::one()) + } + } + } + MongePrim::ConstantCols => { + for mut col in matrix.columns_mut() { + if rng.gen::<bool>() { + col.fill(T::one()) + } + } + } + MongePrim::UpperRightOnes => { + let i = rng.gen_range(0..(m + 1) as isize); + let j = rng.gen_range(0..(n + 1) as isize); + matrix.slice_mut(s![..i, -j..]).fill(T::one()); + } + MongePrim::LowerLeftOnes => { + let i = rng.gen_range(0..(m + 1) as isize); + let j = rng.gen_range(0..(n + 1) as isize); + matrix.slice_mut(s![-i.., ..j]).fill(T::one()); + } + } + + matrix + } +} + +/// Generate a random Monge matrix. +pub fn random_monge_matrix<R: Rng, T: PrimInt>(m: usize, n: usize, rng: &mut R) -> Array2<T> +where + Standard: Distribution<T>, +{ + let monge_primitives = [ + MongePrim::ConstantRows, + MongePrim::ConstantCols, + MongePrim::LowerLeftOnes, + MongePrim::UpperRightOnes, + ]; + let mut matrix = Array2::from_elem((m, n), T::zero()); + for _ in 0..(m + n) { + let monge = monge_primitives[rng.gen_range(0..monge_primitives.len())]; + matrix = matrix + monge.to_matrix(m, n, rng); + } + matrix +} |