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https://github.com/meilisearch/MeiliSearch
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squash-me: Make the dijkstra work even with different attributes
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@ -2,11 +2,10 @@ use std::cmp;
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use pathfinding::directed::dijkstra::dijkstra;
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use pathfinding::directed::dijkstra::dijkstra;
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const ONE_ATTRIBUTE: u32 = 1000;
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const ONE_ATTRIBUTE: u32 = 1000;
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const MAX_INDEX: u32 = ONE_ATTRIBUTE - 1;
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const MAX_DISTANCE: u32 = 8;
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const MAX_DISTANCE: u32 = 8;
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fn index_proximity(lhs: u32, rhs: u32) -> u32 {
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fn index_proximity(lhs: u32, rhs: u32) -> u32 {
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if lhs < rhs {
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if lhs <= rhs {
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cmp::min(rhs - lhs, MAX_DISTANCE)
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cmp::min(rhs - lhs, MAX_DISTANCE)
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} else {
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} else {
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cmp::min(lhs - rhs, MAX_DISTANCE) + 1
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cmp::min(lhs - rhs, MAX_DISTANCE) + 1
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@ -25,11 +24,6 @@ fn extract_position(position: u32) -> (u32, u32) {
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(position / ONE_ATTRIBUTE, position % ONE_ATTRIBUTE)
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(position / ONE_ATTRIBUTE, position % ONE_ATTRIBUTE)
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}
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}
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// Returns a position from the two parts of it.
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fn construct_position(attr: u32, index: u32) -> u32 {
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attr * ONE_ATTRIBUTE + index
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}
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#[derive(Debug, Clone, PartialOrd, Ord, PartialEq, Eq, Hash)]
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#[derive(Debug, Clone, PartialOrd, Ord, PartialEq, Eq, Hash)]
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struct Path(Vec<u32>);
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struct Path(Vec<u32>);
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@ -45,11 +39,13 @@ impl Path {
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// If we can grow or shift the path
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// If we can grow or shift the path
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if self.0.len() < positions.len() {
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if self.0.len() < positions.len() {
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let mut grown_path = self.0.clone();
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for next_pos in &positions[self.0.len()] {
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grown_path.push(positions[self.0.len()][0]);
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let mut grown_path = self.0.clone();
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let path = Path(grown_path);
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grown_path.push(*next_pos);
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let proximity = path.proximity();
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let path = Path(grown_path);
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successors.push((path, proximity));
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let proximity = path.proximity();
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successors.push((path, proximity));
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}
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}
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}
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// We retrieve the tail of the current path and try to find
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// We retrieve the tail of the current path and try to find
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@ -157,19 +153,37 @@ mod tests {
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let mut iter = BestProximity::new(positions);
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let mut iter = BestProximity::new(positions);
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assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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eprintln!("------------------");
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assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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eprintln!("------------------");
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assert_eq!(iter.next(), Some((3+2, vec![vec![3, 1, 3]]))); // 5
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assert_eq!(iter.next(), Some((3+2, vec![vec![3, 1, 3]]))); // 5
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eprintln!("------------------");
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assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6], vec![4, 1, 3]]))); // 6
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assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6], vec![4, 1, 3]]))); // 6
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eprintln!("------------------");
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assert_eq!(iter.next(), Some((2+5, vec![vec![2, 1, 6]]))); // 7
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assert_eq!(iter.next(), Some((2+5, vec![vec![2, 1, 6]]))); // 7
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eprintln!("------------------");
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assert_eq!(iter.next(), Some((3+5, vec![vec![3, 1, 6]]))); // 8
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assert_eq!(iter.next(), Some((3+5, vec![vec![3, 1, 6]]))); // 8
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eprintln!("------------------");
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assert_eq!(iter.next(), Some((4+5, vec![vec![4, 1, 6]]))); // 9
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assert_eq!(iter.next(), Some((4+5, vec![vec![4, 1, 6]]))); // 9
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eprintln!("------------------");
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assert_eq!(iter.next(), None);
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assert_eq!(iter.next(), None);
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}
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}
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#[test]
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fn different_attributes() {
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let positions = vec![
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vec![0, 2, 1000, 1001, 2000 ],
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vec![ 1, 1000, 2001 ],
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vec![ 3, 6, 2002, 3000],
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];
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let mut iter = BestProximity::new(positions);
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assert_eq!(iter.next(), Some((1+1, vec![vec![2000, 2001, 2002]]))); // 2
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assert_eq!(iter.next(), Some((1+2, vec![vec![0, 1, 3]]))); // 3
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assert_eq!(iter.next(), Some((2+2, vec![vec![2, 1, 3]]))); // 4
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assert_eq!(iter.next(), Some((1+5, vec![vec![0, 1, 6]]))); // 6
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// We ignore others here...
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}
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#[test]
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fn easy_proximities() {
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fn slice_proximity(positions: &[u32]) -> u32 {
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positions.windows(2).map(|ps| positions_proximity(ps[0], ps[1])).sum::<u32>()
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}
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assert_eq!(slice_proximity(&[1000, 1000, 2002]), 8);
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}
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}
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}
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