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//! This file benchmarks the `sm` function.
use criterion::{black_box, criterion_group, criterion_main, Criterion};
use rand::{
distributions::{Distribution, Uniform},
thread_rng,
};
#[allow(unused_imports)]
use sort::{sm, smi};
fn bench_10(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(10).collect::<Vec<_>>()
};
assert_eq!(input.len(), 10);
c.bench_function("smi", |b| {
b.iter(|| {
let mut count = 0;
black_box(smi(input.as_slice(), &mut count))
})
});
}
fn bench_20(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(20).collect::<Vec<_>>()
};
assert_eq!(input.len(), 20);
c.bench_function("smi", |b| {
b.iter(|| {
let mut count = 0;
black_box(smi(input.as_slice(), &mut count))
})
});
}
fn bench_40(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(40).collect::<Vec<_>>()
};
assert_eq!(input.len(), 40);
c.bench_function("smi", |b| {
b.iter(|| {
let mut count = 0;
black_box(smi(input.as_slice(), &mut count))
})
});
}
fn bench_80(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(80).collect::<Vec<_>>()
};
assert_eq!(input.len(), 80);
c.bench_function("smi", |b| {
b.iter(|| {
let mut count = 0;
black_box(smi(input.as_slice(), &mut count))
})
});
}
fn bench_160(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(160).collect::<Vec<_>>()
};
assert_eq!(input.len(), 160);
c.bench_function("smi", |b| {
b.iter(|| {
let mut count = 0;
black_box(smi(input.as_slice(), &mut count))
})
});
}
criterion_group!(benches, bench_10, bench_20, bench_40, bench_80, bench_160);
criterion_main!(benches);
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