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| 1 | +use std::collections::BinaryHeap; |
| 2 | + |
| 3 | +use rand::{seq::SliceRandom, thread_rng}; |
| 4 | +use test::{black_box, Bencher}; |
| 5 | + |
| 6 | +#[bench] |
| 7 | +fn bench_find_smallest_1000(b: &mut Bencher) { |
| 8 | + let mut rng = thread_rng(); |
| 9 | + let mut vec: Vec<u32> = (0..100_000).collect(); |
| 10 | + vec.shuffle(&mut rng); |
| 11 | + |
| 12 | + b.iter(|| { |
| 13 | + let mut iter = vec.iter().copied(); |
| 14 | + let mut heap: BinaryHeap<_> = iter.by_ref().take(1000).collect(); |
| 15 | + |
| 16 | + for x in iter { |
| 17 | + let mut max = heap.peek_mut().unwrap(); |
| 18 | + // This comparison should be true only 1% of the time. |
| 19 | + // Unnecessary `sift_down`s will degrade performance |
| 20 | + if x < *max { |
| 21 | + *max = x; |
| 22 | + } |
| 23 | + } |
| 24 | + |
| 25 | + heap |
| 26 | + }) |
| 27 | +} |
| 28 | + |
| 29 | +#[bench] |
| 30 | +fn bench_peek_mut_deref_mut(b: &mut Bencher) { |
| 31 | + let mut bheap = BinaryHeap::from(vec![42]); |
| 32 | + let vec: Vec<u32> = (0..1_000_000).collect(); |
| 33 | + |
| 34 | + b.iter(|| { |
| 35 | + let vec = black_box(&vec); |
| 36 | + let mut peek_mut = bheap.peek_mut().unwrap(); |
| 37 | + // The compiler shouldn't be able to optimize away the `sift_down` |
| 38 | + // assignment in `PeekMut`'s `DerefMut` implementation since |
| 39 | + // the loop may not run. |
| 40 | + for &i in vec.iter() { |
| 41 | + *peek_mut = i; |
| 42 | + } |
| 43 | + // Remove the already minimal overhead of the sift_down |
| 44 | + std::mem::forget(peek_mut); |
| 45 | + }) |
| 46 | +} |
| 47 | + |
| 48 | +#[bench] |
| 49 | +fn bench_from_vec(b: &mut Bencher) { |
| 50 | + let mut rng = thread_rng(); |
| 51 | + let mut vec: Vec<u32> = (0..100_000).collect(); |
| 52 | + vec.shuffle(&mut rng); |
| 53 | + |
| 54 | + b.iter(|| BinaryHeap::from(vec.clone())) |
| 55 | +} |
| 56 | + |
| 57 | +#[bench] |
| 58 | +fn bench_into_sorted_vec(b: &mut Bencher) { |
| 59 | + let bheap: BinaryHeap<i32> = (0..10_000).collect(); |
| 60 | + |
| 61 | + b.iter(|| bheap.clone().into_sorted_vec()) |
| 62 | +} |
| 63 | + |
| 64 | +#[bench] |
| 65 | +fn bench_push(b: &mut Bencher) { |
| 66 | + let mut bheap = BinaryHeap::with_capacity(50_000); |
| 67 | + let mut rng = thread_rng(); |
| 68 | + let mut vec: Vec<u32> = (0..50_000).collect(); |
| 69 | + vec.shuffle(&mut rng); |
| 70 | + |
| 71 | + b.iter(|| { |
| 72 | + for &i in vec.iter() { |
| 73 | + bheap.push(i); |
| 74 | + } |
| 75 | + black_box(&mut bheap); |
| 76 | + bheap.clear(); |
| 77 | + }) |
| 78 | +} |
| 79 | + |
| 80 | +#[bench] |
| 81 | +fn bench_pop(b: &mut Bencher) { |
| 82 | + let mut bheap = BinaryHeap::with_capacity(10_000); |
| 83 | + |
| 84 | + b.iter(|| { |
| 85 | + bheap.extend((0..10_000).rev()); |
| 86 | + black_box(&mut bheap); |
| 87 | + while let Some(elem) = bheap.pop() { |
| 88 | + black_box(elem); |
| 89 | + } |
| 90 | + }) |
| 91 | +} |
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