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diff --git a/vendor/smawk/src/brute_force.rs b/vendor/smawk/src/brute_force.rs
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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);
+    }
+}