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push_pop.rs
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use std::collections::BinaryHeap;
use divan::Bencher;
use mimalloc::MiMalloc;
use meldable_heaps::{ParingHeap, SkewHeap};
#[global_allocator]
static GLOBAL: MiMalloc = MiMalloc;
fn main() {
divan::main();
}
trait Heap<T: Ord> {
fn new() -> Self;
fn push(&mut self, value: T);
fn pop(&mut self) -> Option<T>;
fn is_empty(&self) -> bool;
}
impl<T: Ord> Heap<T> for BinaryHeap<T> {
fn new() -> Self {
Self::new()
}
fn push(&mut self, value: T) {
self.push(value);
}
fn pop(&mut self) -> Option<T> {
self.pop()
}
fn is_empty(&self) -> bool {
self.is_empty()
}
}
impl<T: Ord> Heap<T> for SkewHeap<T> {
fn new() -> Self {
Self::new()
}
fn push(&mut self, value: T) {
self.push(value);
}
fn pop(&mut self) -> Option<T> {
self.pop()
}
fn is_empty(&self) -> bool {
self.is_empty()
}
}
impl<T: Ord> Heap<T> for ParingHeap<T> {
fn new() -> Self {
Self::new()
}
fn push(&mut self, value: T) {
self.push(value);
}
fn pop(&mut self) -> Option<T> {
self.pop()
}
fn is_empty(&self) -> bool {
self.is_empty()
}
}
type Entry = [u64; 5];
/*
Benchmark results:
Timer precision: 10 ns
push_pop fastest │ slowest │ median │ mean │ samples │ iters
╰─ push_pop_bench │ │ │ │ │
├─ BinaryHeap<[u64; 5]> │ │ │ │ │
│ ├─ 1000000 219.2 ms │ 247 ms │ 238.5 ms │ 234.9 ms │ 3 │ 3
│ ├─ 2000000 551.6 ms │ 581 ms │ 558.2 ms │ 563.6 ms │ 3 │ 3
│ ├─ 3000000 1.025 s │ 1.128 s │ 1.071 s │ 1.074 s │ 3 │ 3
│ ├─ 4000000 1.504 s │ 1.532 s │ 1.532 s │ 1.523 s │ 3 │ 3
│ ├─ 5000000 2.036 s │ 2.136 s │ 2.044 s │ 2.072 s │ 3 │ 3
│ ├─ 6000000 2.62 s │ 2.678 s │ 2.65 s │ 2.649 s │ 3 │ 3
│ ├─ 7000000 3.16 s │ 3.242 s │ 3.222 s │ 3.208 s │ 3 │ 3
│ ╰─ 8000000 3.807 s │ 3.851 s │ 3.841 s │ 3.833 s │ 3 │ 3
├─ ParingHeap<[u64; 5]> │ │ │ │ │
│ ├─ 1000000 343.4 ms │ 347.6 ms │ 345.2 ms │ 345.4 ms │ 3 │ 3
│ ├─ 2000000 973.3 ms │ 1.002 s │ 991.1 ms │ 989 ms │ 3 │ 3
│ ├─ 3000000 1.725 s │ 1.733 s │ 1.728 s │ 1.728 s │ 3 │ 3
│ ├─ 4000000 2.519 s │ 2.533 s │ 2.531 s │ 2.527 s │ 3 │ 3
│ ├─ 5000000 3.323 s │ 3.405 s │ 3.354 s │ 3.361 s │ 3 │ 3
│ ├─ 6000000 4.248 s │ 4.332 s │ 4.263 s │ 4.281 s │ 3 │ 3
│ ├─ 7000000 5.182 s │ 5.359 s │ 5.29 s │ 5.277 s │ 3 │ 3
│ ╰─ 8000000 6.235 s │ 6.248 s │ 6.236 s │ 6.24 s │ 3 │ 3
╰─ SkewHeap<[u64; 5]> │ │ │ │ │
├─ 1000000 496.4 ms │ 526.6 ms │ 499.6 ms │ 507.5 ms │ 3 │ 3
├─ 2000000 1.404 s │ 1.43 s │ 1.422 s │ 1.419 s │ 3 │ 3
├─ 3000000 2.345 s │ 2.425 s │ 2.386 s │ 2.385 s │ 3 │ 3
├─ 4000000 3.402 s │ 3.432 s │ 3.404 s │ 3.413 s │ 3 │ 3
├─ 5000000 4.568 s │ 4.58 s │ 4.571 s │ 4.573 s │ 3 │ 3
├─ 6000000 5.681 s │ 5.82 s │ 5.693 s │ 5.731 s │ 3 │ 3
├─ 7000000 6.931 s │ 7.012 s │ 6.955 s │ 6.966 s │ 3 │ 3
╰─ 8000000 8.246 s │ 8.358 s │ 8.282 s │ 8.295 s │ 3 │ 3
*/
#[divan::bench(
types = [BinaryHeap<Entry>, ParingHeap<Entry>, SkewHeap<Entry>],
args = [1000000, 2000000, 3000000, 4000000, 5000000, 6000000, 7000000, 8000000],
sample_count = 3,
)]
fn push_pop_bench<H: Heap<Entry>>(bencher: Bencher, n: u64) {
let mut heap = H::new();
bencher.bench_local(|| push_pop(n, &mut heap));
}
fn push_pop<H: Heap<Entry>>(n: u64, heap: &mut H) {
for _ in 0..n {
heap.push(rand::random::<Entry>());
}
while !heap.is_empty() {
let x = heap.pop();
divan::black_box(x);
}
}