use std::collections::BinaryHeap; use rand::seq::SliceRandom; use test::{black_box, Bencher}; #[bench] fn bench_find_smallest_1000(b: &mut Bencher) { let mut rng = crate::bench_rng(); let mut vec: Vec = (0..100_000).collect(); vec.shuffle(&mut rng); b.iter(|| { let mut iter = vec.iter().copied(); let mut heap: BinaryHeap<_> = iter.by_ref().take(1000).collect(); for x in iter { let mut max = heap.peek_mut().unwrap(); // This comparison should be true only 1% of the time. // Unnecessary `sift_down`s will degrade performance if x < *max { *max = x; } } heap }) } #[bench] fn bench_peek_mut_deref_mut(b: &mut Bencher) { let mut bheap = BinaryHeap::from(vec![42]); let vec: Vec = (0..1_000_000).collect(); b.iter(|| { let vec = black_box(&vec); let mut peek_mut = bheap.peek_mut().unwrap(); // The compiler shouldn't be able to optimize away the `sift_down` // assignment in `PeekMut`'s `DerefMut` implementation since // the loop might not run. for &i in vec.iter() { *peek_mut = i; } // Remove the already minimal overhead of the sift_down std::mem::forget(peek_mut); }) } #[bench] fn bench_from_vec(b: &mut Bencher) { let mut rng = crate::bench_rng(); let mut vec: Vec = (0..100_000).collect(); vec.shuffle(&mut rng); b.iter(|| BinaryHeap::from(vec.clone())) } #[bench] fn bench_into_sorted_vec(b: &mut Bencher) { let bheap: BinaryHeap = (0..10_000).collect(); b.iter(|| bheap.clone().into_sorted_vec()) } #[bench] fn bench_push(b: &mut Bencher) { let mut bheap = BinaryHeap::with_capacity(50_000); let mut rng = crate::bench_rng(); let mut vec: Vec = (0..50_000).collect(); vec.shuffle(&mut rng); b.iter(|| { for &i in vec.iter() { bheap.push(i); } black_box(&mut bheap); bheap.clear(); }) } #[bench] fn bench_pop(b: &mut Bencher) { let mut bheap = BinaryHeap::with_capacity(10_000); b.iter(|| { bheap.extend((0..10_000).rev()); black_box(&mut bheap); while let Some(elem) = bheap.pop() { black_box(elem); } }) }