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-rw-r--r--benches/benches.rs8
1 files changed, 7 insertions, 1 deletions
diff --git a/benches/benches.rs b/benches/benches.rs
index 8464179..3e67c2a 100644
--- a/benches/benches.rs
+++ b/benches/benches.rs
@@ -2,7 +2,7 @@
use acap::euclid::Euclidean;
use acap::exhaustive::ExhaustiveSearch;
-use acap::kd::KdTree;
+use acap::kd::{FlatKdTree, KdTree};
use acap::vp::{FlatVpTree, VpTree};
use acap::NearestNeighbors;
@@ -39,6 +39,7 @@ fn bench_from_iter(c: &mut Criterion) {
group.bench_function("VpTree", |b| b.iter(|| VpTree::from_iter(points.clone())));
group.bench_function("FlatVpTree", |b| b.iter(|| FlatVpTree::from_iter(points.clone())));
group.bench_function("KdTree", |b| b.iter(|| KdTree::from_iter(points.clone())));
+ group.bench_function("FlatKdTree", |b| b.iter(|| FlatKdTree::from_iter(points.clone())));
group.finish();
}
@@ -50,12 +51,14 @@ fn bench_nearest_neighbors(c: &mut Criterion) {
let vp_tree = VpTree::from_iter(points.clone());
let flat_vp_tree = FlatVpTree::from_iter(points.clone());
let kd_tree = KdTree::from_iter(points.clone());
+ let flat_kd_tree = FlatKdTree::from_iter(points.clone());
let mut nearest = c.benchmark_group("NearestNeighbors::nearest");
nearest.bench_function("ExhaustiveSearch", |b| b.iter(|| exhaustive.nearest(&target)));
nearest.bench_function("VpTree", |b| b.iter(|| vp_tree.nearest(&target)));
nearest.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.nearest(&target)));
nearest.bench_function("KdTree", |b| b.iter(|| kd_tree.nearest(&target)));
+ nearest.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.nearest(&target)));
nearest.finish();
let mut nearest_within = c.benchmark_group("NearestNeighbors::nearest_within");
@@ -63,6 +66,7 @@ fn bench_nearest_neighbors(c: &mut Criterion) {
nearest_within.bench_function("VpTree", |b| b.iter(|| vp_tree.nearest_within(&target, 0.1)));
nearest_within.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.nearest_within(&target, 0.1)));
nearest_within.bench_function("KdTree", |b| b.iter(|| kd_tree.nearest_within(&target, 0.1)));
+ nearest_within.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.nearest_within(&target, 0.1)));
nearest_within.finish();
let mut k_nearest = c.benchmark_group("NearestNeighbors::k_nearest");
@@ -70,6 +74,7 @@ fn bench_nearest_neighbors(c: &mut Criterion) {
k_nearest.bench_function("VpTree", |b| b.iter(|| vp_tree.k_nearest(&target, 3)));
k_nearest.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.k_nearest(&target, 3)));
k_nearest.bench_function("KdTree", |b| b.iter(|| kd_tree.k_nearest(&target, 3)));
+ k_nearest.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.k_nearest(&target, 3)));
k_nearest.finish();
let mut k_nearest_within = c.benchmark_group("NearestNeighbors::k_nearest_within");
@@ -77,6 +82,7 @@ fn bench_nearest_neighbors(c: &mut Criterion) {
k_nearest_within.bench_function("VpTree", |b| b.iter(|| vp_tree.k_nearest_within(&target, 3, 0.1)));
k_nearest_within.bench_function("FlatVpTree", |b| b.iter(|| flat_vp_tree.k_nearest_within(&target, 3, 0.1)));
k_nearest_within.bench_function("KdTree", |b| b.iter(|| kd_tree.k_nearest_within(&target, 3, 0.1)));
+ k_nearest_within.bench_function("FlatKdTree", |b| b.iter(|| flat_kd_tree.k_nearest_within(&target, 3, 0.1)));
k_nearest_within.finish();
}