use rand::Rng; use test::{Bencher, black_box}; macro_rules! int_log10_bench { ($t:ty, $predictable:ident, $random:ident, $random_small: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.ilog10()); } } }); } #[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(|_| { let x = rng.random::<$t>() >> rng.random_range(0..<$t>::BITS); if x != 0 { x } else { 1 } }) .collect(); bench.iter(|| { for x in &numbers { black_box(black_box(x).ilog10()); } }); } #[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(|_| { let x = (rng.random::() >> rng.random_range(0..u8::BITS)) as $t; if x != 0 { x } else { 1 } }) .collect(); bench.iter(|| { for x in &numbers { black_box(black_box(x).ilog10()); } }); } }; } int_log10_bench! {u8, u8_log10_predictable, u8_log10_random, u8_log10_random_small} int_log10_bench! {u16, u16_log10_predictable, u16_log10_random, u16_log10_random_small} int_log10_bench! {u32, u32_log10_predictable, u32_log10_random, u32_log10_random_small} int_log10_bench! {u64, u64_log10_predictable, u64_log10_random, u64_log10_random_small} int_log10_bench! {u128, u128_log10_predictable, u128_log10_random, u128_log10_random_small} macro_rules! int_log_bench { ($t:ty, $random:ident, $random_small:ident, $geometric:ident) => { #[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(|_| { let x = rng.random::<$t>() >> rng.random_range(0..<$t>::BITS); if x >= 2 { x } else { 2 } }) .collect(); bench.iter(|| { for &b in &numbers { for &x in &numbers { black_box(black_box(x).ilog(b)); } } }); } #[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(|_| { let x = (rng.random::() >> rng.random_range(0..u8::BITS)) as $t; if x >= 2 { x } else { 2 } }) .collect(); bench.iter(|| { for &b in &numbers { for &x in &numbers { black_box(black_box(x).ilog(b)); } } }); } #[bench] fn $geometric(bench: &mut Bencher) { let bases: [$t; 16] = [2, 3, 4, 5, 7, 8, 9, 15, 16, 17, 31, 32, 33, 63, 64, 65]; let base_and_numbers: Vec<($t, Vec<$t>)> = bases .iter() .map(|&b| { let numbers = (0..=<$t>::MAX.ilog(b)).map(|exp| b.pow(exp)).collect(); (b, numbers) }) .collect(); bench.iter(|| { for (b, numbers) in &base_and_numbers { for &x in numbers { black_box(black_box(x).ilog(black_box(*b))); } } }); } }; } int_log_bench! {u8, u8_log_random, u8_log_random_small, u8_log_geometric} int_log_bench! {u16, u16_log_random, u16_log_random_small, u16_log_geometric} int_log_bench! {u32, u32_log_random, u32_log_random_small, u32_log_geometric} int_log_bench! {u64, u64_log_random, u64_log_random_small, u64_log_geometric} int_log_bench! {u128, u128_log_random, u128_log_random_small, u128_log_geometric}