use rand::Rng; use test::{Bencher, black_box}; macro_rules! int_sqrt_bench { ($t:ty, $predictable:ident, $random:ident, $random_small:ident, $random_uniform:ident) => { #[bench] fn $predictable(bench: &mut Bencher) { bench.iter(|| { for n in 0..(<$t>::BITS / 8) { for i in 1..=(100 as $t) { let x = black_box(i << (n * 8)); black_box(x.isqrt()); } } }); } #[bench] fn $random(bench: &mut Bencher) { let mut rng = crate::bench_rng(); /* Exponentially distributed random numbers from the whole range of the type. */ let numbers: Vec<$t> = (0..256).map(|_| rng.random::<$t>() >> rng.random_range(0..<$t>::BITS)).collect(); bench.iter(|| { for x in &numbers { black_box(black_box(x).isqrt()); } }); } #[bench] fn $random_small(bench: &mut Bencher) { let mut rng = crate::bench_rng(); /* Exponentially distributed random numbers from the range 0..256. */ let numbers: Vec<$t> = (0..256) .map(|_| (rng.random::() >> rng.random_range(0..u8::BITS)) as $t) .collect(); bench.iter(|| { for x in &numbers { black_box(black_box(x).isqrt()); } }); } #[bench] fn $random_uniform(bench: &mut Bencher) { let mut rng = crate::bench_rng(); /* Exponentially distributed random numbers from the whole range of the type. */ let numbers: Vec<$t> = (0..256).map(|_| rng.random::<$t>()).collect(); bench.iter(|| { for x in &numbers { black_box(black_box(x).isqrt()); } }); } }; } int_sqrt_bench! {u8, u8_sqrt_predictable, u8_sqrt_random, u8_sqrt_random_small, u8_sqrt_uniform} int_sqrt_bench! {u16, u16_sqrt_predictable, u16_sqrt_random, u16_sqrt_random_small, u16_sqrt_uniform} int_sqrt_bench! {u32, u32_sqrt_predictable, u32_sqrt_random, u32_sqrt_random_small, u32_sqrt_uniform} int_sqrt_bench! {u64, u64_sqrt_predictable, u64_sqrt_random, u64_sqrt_random_small, u64_sqrt_uniform} int_sqrt_bench! {u128, u128_sqrt_predictable, u128_sqrt_random, u128_sqrt_random_small, u128_sqrt_uniform}