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author | Valentin Popov <valentin@popov.link> | 2024-01-08 00:21:28 +0300 |
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committer | Valentin Popov <valentin@popov.link> | 2024-01-08 00:21:28 +0300 |
commit | 1b6a04ca5504955c571d1c97504fb45ea0befee4 (patch) | |
tree | 7579f518b23313e8a9748a88ab6173d5e030b227 /vendor/smawk/tests/agreement.rs | |
parent | 5ecd8cf2cba827454317368b68571df0d13d7842 (diff) | |
download | fparkan-1b6a04ca5504955c571d1c97504fb45ea0befee4.tar.xz fparkan-1b6a04ca5504955c571d1c97504fb45ea0befee4.zip |
Initial vendor packages
Signed-off-by: Valentin Popov <valentin@popov.link>
Diffstat (limited to 'vendor/smawk/tests/agreement.rs')
-rw-r--r-- | vendor/smawk/tests/agreement.rs | 104 |
1 files changed, 104 insertions, 0 deletions
diff --git a/vendor/smawk/tests/agreement.rs b/vendor/smawk/tests/agreement.rs new file mode 100644 index 0000000..2e0343a --- /dev/null +++ b/vendor/smawk/tests/agreement.rs @@ -0,0 +1,104 @@ +#![cfg(feature = "ndarray")] + +use ndarray::{s, Array2}; +use rand::SeedableRng; +use rand_chacha::ChaCha20Rng; +use smawk::{brute_force, online_column_minima, recursive}; + +mod random_monge; +use random_monge::random_monge_matrix; + +/// Check that the brute force, recursive, and SMAWK functions +/// give identical results on a large number of randomly generated +/// Monge matrices. +#[test] +fn column_minima_agree() { + let sizes = vec![1, 2, 3, 4, 5, 10, 15, 20, 30]; + let mut rng = ChaCha20Rng::seed_from_u64(0); + for _ in 0..4 { + for m in sizes.clone().iter() { + for n in sizes.clone().iter() { + let matrix: Array2<i32> = random_monge_matrix(*m, *n, &mut rng); + + // Compute and test row minima. + let brute_force = brute_force::row_minima(&matrix); + let recursive = recursive::row_minima(&matrix); + let smawk = smawk::row_minima(&matrix); + assert_eq!( + brute_force, recursive, + "recursive and brute force differs on:\n{:?}", + matrix + ); + assert_eq!( + brute_force, smawk, + "SMAWK and brute force differs on:\n{:?}", + matrix + ); + + // Do the same for the column minima. + let brute_force = brute_force::column_minima(&matrix); + let recursive = recursive::column_minima(&matrix); + let smawk = smawk::column_minima(&matrix); + assert_eq!( + brute_force, recursive, + "recursive and brute force differs on:\n{:?}", + matrix + ); + assert_eq!( + brute_force, smawk, + "SMAWK and brute force differs on:\n{:?}", + matrix + ); + } + } + } +} + +/// Check that the brute force and online SMAWK functions give +/// identical results on a large number of randomly generated +/// Monge matrices. +#[test] +fn online_agree() { + let sizes = vec![1, 2, 3, 4, 5, 10, 15, 20, 30, 50]; + let mut rng = ChaCha20Rng::seed_from_u64(0); + for _ in 0..5 { + for &size in &sizes { + // Random totally monotone square matrix of the + // desired size. + let mut matrix: Array2<i32> = random_monge_matrix(size, size, &mut rng); + + // Adjust matrix so the column minima are above the + // diagonal. The brute_force::column_minima will still + // work just fine on such a mangled Monge matrix. + let max = *matrix.iter().max().unwrap_or(&0); + for idx in 0..(size as isize) { + // Using the maximum value of the matrix instead + // of i32::max_value() makes for prettier matrices + // in case we want to print them. + matrix.slice_mut(s![idx..idx + 1, ..idx + 1]).fill(max); + } + + // The online algorithm always returns the initial + // value for the left-most column -- without + // inspecting the column at all. So we fill the + // left-most column with this value to have the brute + // force algorithm do the same. + let initial = 42; + matrix.slice_mut(s![0.., ..1]).fill(initial); + + // Brute-force computation of column minima, returned + // in the same form as online_column_minima. + let brute_force = brute_force::column_minima(&matrix) + .iter() + .enumerate() + .map(|(j, &i)| (i, matrix[[i, j]])) + .collect::<Vec<_>>(); + let online = online_column_minima(initial, size, |_, i, j| matrix[[i, j]]); + assert_eq!( + brute_force, online, + "brute force and online differ on:\n{:3?}", + matrix + ); + } + } +} |