Use the acap nearest neighbors implementationHEADmaster

1 files changed, 0 insertions, 137 deletions

diff --git a/src/metric/vp.rs b/src/metric/vp.rs
deleted file mode 100644
index d6e05df..0000000
--- a/src/metric/vp.rs
+++ /dev/null
@@ -1,137 +0,0 @@
-//! [Vantage-point trees](https://en.wikipedia.org/wiki/Vantage-point_tree).
-
-use super::{Metric, NearestNeighbors, Neighborhood, Ordered};
-
-use std::iter::FromIterator;
-
-/// A node in a VP tree.
-#[derive(Debug)]
-struct VpNode<T> {
-    /// The vantage point itself.
-    item: T,
-    /// The radius of this node.
-    radius: f64,
-    /// The size of the subtree inside the radius.
-    inside_len: usize,
-}
-
-impl<T: Metric> VpNode<T> {
-    /// Create a new VpNode.
-    fn new(item: T) -> Self {
-        Self {
-            item,
-            radius: 0.0,
-            inside_len: 0,
-        }
-    }
-
-    /// Build a VP tree recursively.
-    fn build(slice: &mut [VpNode<T>]) {
-        if let Some((node, children)) = slice.split_first_mut() {
-            let item = &node.item;
-            children.sort_by_cached_key(|n| Ordered(item.distance(&n.item)));
-
-            let (inside, outside) = children.split_at_mut(children.len() / 2);
-            if let Some(last) = inside.last() {
-                node.radius = item.distance(&last.item).into();
-            }
-            node.inside_len = inside.len();
-
-            Self::build(inside);
-            Self::build(outside);
-        }
-    }
-
-    /// Recursively search for nearest neighbors.
-    fn recurse<'a, U, N>(slice: &'a [VpNode<T>], neighborhood: &mut N)
-    where
-        T: 'a,
-        U: Metric<&'a T>,
-        N: Neighborhood<&'a T, U>,
-    {
-        let (node, children) = slice.split_first().unwrap();
-        let (inside, outside) = children.split_at(node.inside_len);
-
-        let distance = neighborhood.consider(&node.item).into();
-
-        if distance <= node.radius {
-            if !inside.is_empty() && neighborhood.contains(distance - node.radius) {
-                Self::recurse(inside, neighborhood);
-            }
-            if !outside.is_empty() && neighborhood.contains(node.radius - distance) {
-                Self::recurse(outside, neighborhood);
-            }
-        } else {
-            if !outside.is_empty() && neighborhood.contains(node.radius - distance) {
-                Self::recurse(outside, neighborhood);
-            }
-            if !inside.is_empty() && neighborhood.contains(distance - node.radius) {
-                Self::recurse(inside, neighborhood);
-            }
-        }
-    }
-}
-
-/// A [vantage-point tree](https://en.wikipedia.org/wiki/Vantage-point_tree).
-#[derive(Debug)]
-pub struct VpTree<T>(Vec<VpNode<T>>);
-
-impl<T: Metric> FromIterator<T> for VpTree<T> {
-    fn from_iter<I: IntoIterator<Item = T>>(items: I) -> Self {
-        let mut nodes: Vec<_> = items.into_iter().map(VpNode::new).collect();
-        VpNode::build(nodes.as_mut_slice());
-        Self(nodes)
-    }
-}
-
-impl<T, U> NearestNeighbors<T, U> for VpTree<T>
-where
-    T: Metric,
-    U: Metric<T>,
-{
-    fn search<'a, 'b, N>(&'a self, mut neighborhood: N) -> N
-    where
-        T: 'a,
-        U: 'b,
-        N: Neighborhood<&'a T, &'b U>,
-    {
-        if !self.0.is_empty() {
-            VpNode::recurse(&self.0, &mut neighborhood);
-        }
-
-        neighborhood
-    }
-}
-
-/// An iterator that moves values out of a VP tree.
-#[derive(Debug)]
-pub struct IntoIter<T>(std::vec::IntoIter<VpNode<T>>);
-
-impl<T> Iterator for IntoIter<T> {
-    type Item = T;
-
-    fn next(&mut self) -> Option<T> {
-        self.0.next().map(|n| n.item)
-    }
-}
-
-impl<T> IntoIterator for VpTree<T> {
-    type Item = T;
-    type IntoIter = IntoIter<T>;
-
-    fn into_iter(self) -> Self::IntoIter {
-        IntoIter(self.0.into_iter())
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    use crate::metric::tests::test_nearest_neighbors;
-
-    #[test]
-    fn test_vp_tree() {
-        test_nearest_neighbors(VpTree::from_iter);
-    }
-}