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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,
};
use sort::sm;
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("sm", |b| {
b.iter(|| {
let mut count = 0;
black_box(sm(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("sm", |b| {
b.iter(|| {
let mut count = 0;
black_box(sm(input.as_slice(), &mut count))
})
});
}
fn bench_30(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(30).collect::<Vec<_>>()
};
assert_eq!(input.len(), 30);
c.bench_function("sm", |b| {
b.iter(|| {
let mut count = 0;
black_box(sm(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("sm", |b| {
b.iter(|| {
let mut count = 0;
black_box(sm(input.as_slice(), &mut count))
})
});
}
fn bench_50(c: &mut Criterion) {
let mut rng = thread_rng();
let input = {
let uniform = Uniform::new(-100.0f32, 100.0f32);
uniform.sample_iter(&mut rng).take(50).collect::<Vec<_>>()
};
assert_eq!(input.len(), 50);
c.bench_function("sm", |b| {
b.iter(|| {
let mut count = 0;
black_box(sm(input.as_slice(), &mut count))
})
});
}
criterion_group!(benches, bench_10, bench_20, bench_30, bench_40, bench_50);
criterion_main!(benches);
|
