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authorValentin Popov <valentin@popov.link>2024-01-08 00:21:28 +0300
committerValentin Popov <valentin@popov.link>2024-01-08 00:21:28 +0300
commit1b6a04ca5504955c571d1c97504fb45ea0befee4 (patch)
tree7579f518b23313e8a9748a88ab6173d5e030b227 /vendor/smawk/src/brute_force.rs
parent5ecd8cf2cba827454317368b68571df0d13d7842 (diff)
downloadfparkan-1b6a04ca5504955c571d1c97504fb45ea0befee4.tar.xz
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Initial vendor packages
Signed-off-by: Valentin Popov <valentin@popov.link>
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+//! Brute-force algorithm for finding column minima.
+//!
+//! The functions here are mostly meant to be used for testing
+//! correctness of the SMAWK implementation.
+//!
+//! **Note: this module is only available if you enable the `ndarray`
+//! Cargo feature.**
+
+use ndarray::{Array2, ArrayView1};
+
+/// Compute lane minimum by brute force.
+///
+/// This does a simple scan through the lane (row or column).
+#[inline]
+pub fn lane_minimum<T: Ord>(lane: ArrayView1<'_, T>) -> usize {
+ lane.iter()
+ .enumerate()
+ .min_by_key(|&(idx, elem)| (elem, idx))
+ .map(|(idx, _)| idx)
+ .expect("empty lane in matrix")
+}
+
+/// Compute row minima by brute force in O(*mn*) time.
+///
+/// This function implements a simple brute-force approach where each
+/// matrix row is scanned completely. This means that the function
+/// works on all matrices, not just Monge matrices.
+///
+/// # Examples
+///
+/// ```
+/// let matrix = ndarray::arr2(&[[4, 2, 4, 3],
+/// [5, 3, 5, 3],
+/// [5, 3, 3, 1]]);
+/// assert_eq!(smawk::brute_force::row_minima(&matrix),
+/// vec![1, 1, 3]);
+/// ```
+///
+/// # Panics
+///
+/// It is an error to call this on a matrix with zero columns.
+pub fn row_minima<T: Ord>(matrix: &Array2<T>) -> Vec<usize> {
+ matrix.rows().into_iter().map(lane_minimum).collect()
+}
+
+/// Compute column minima by brute force in O(*mn*) time.
+///
+/// This function implements a simple brute-force approach where each
+/// matrix column is scanned completely. This means that the function
+/// works on all matrices, not just Monge matrices.
+///
+/// # Examples
+///
+/// ```
+/// let matrix = ndarray::arr2(&[[4, 2, 4, 3],
+/// [5, 3, 5, 3],
+/// [5, 3, 3, 1]]);
+/// assert_eq!(smawk::brute_force::column_minima(&matrix),
+/// vec![0, 0, 2, 2]);
+/// ```
+///
+/// # Panics
+///
+/// It is an error to call this on a matrix with zero rows.
+pub fn column_minima<T: Ord>(matrix: &Array2<T>) -> Vec<usize> {
+ matrix.columns().into_iter().map(lane_minimum).collect()
+}
+
+#[cfg(test)]
+mod tests {
+ use super::*;
+ use ndarray::arr2;
+
+ #[test]
+ fn brute_force_1x1() {
+ let matrix = arr2(&[[2]]);
+ let minima = vec![0];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+
+ #[test]
+ fn brute_force_2x1() {
+ let matrix = arr2(&[
+ [3], //
+ [2],
+ ]);
+ let minima = vec![0, 0];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+
+ #[test]
+ fn brute_force_1x2() {
+ let matrix = arr2(&[[2, 1]]);
+ let minima = vec![1];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+
+ #[test]
+ fn brute_force_2x2() {
+ let matrix = arr2(&[
+ [3, 2], //
+ [2, 1],
+ ]);
+ let minima = vec![1, 1];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+
+ #[test]
+ fn brute_force_3x3() {
+ let matrix = arr2(&[
+ [3, 4, 4], //
+ [3, 4, 4],
+ [2, 3, 3],
+ ]);
+ let minima = vec![0, 0, 0];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+
+ #[test]
+ fn brute_force_4x4() {
+ let matrix = arr2(&[
+ [4, 5, 5, 5], //
+ [2, 3, 3, 3],
+ [2, 3, 3, 3],
+ [2, 2, 2, 2],
+ ]);
+ let minima = vec![0, 0, 0, 0];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+
+ #[test]
+ fn brute_force_5x5() {
+ let matrix = arr2(&[
+ [3, 2, 4, 5, 6],
+ [2, 1, 3, 3, 4],
+ [2, 1, 3, 3, 4],
+ [3, 2, 4, 3, 4],
+ [4, 3, 2, 1, 1],
+ ]);
+ let minima = vec![1, 1, 1, 1, 3];
+ assert_eq!(row_minima(&matrix), minima);
+ assert_eq!(column_minima(&matrix.reversed_axes()), minima);
+ }
+}