| // Copyright 2018 Developers of the Rand project. |
| // |
| // Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or |
| // https://www.apache.org/licenses/LICENSE-2.0> or the MIT license |
| // <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your |
| // option. This file may not be copied, modified, or distributed |
| // except according to those terms. |
| |
| #![feature(test)] |
| |
| extern crate test; |
| extern crate rand; |
| extern crate rand_distr; |
| |
| const RAND_BENCH_N: u64 = 1000; |
| |
| use std::mem::size_of; |
| #[cfg(rustc_1_28)] |
| use std::num::{NonZeroU8, NonZeroU16, NonZeroU32, NonZeroU64, NonZeroU128}; |
| use test::Bencher; |
| use std::time::Duration; |
| |
| use rand::prelude::*; |
| use rand_distr::{*, weighted::WeightedIndex}; |
| |
| macro_rules! distr_int { |
| ($fnn:ident, $ty:ty, $distr:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = $distr; |
| |
| b.iter(|| { |
| let mut accum = 0 as $ty; |
| for _ in 0..::RAND_BENCH_N { |
| let x: $ty = distr.sample(&mut rng); |
| accum = accum.wrapping_add(x); |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| macro_rules! distr_nz_int { |
| ($fnn:ident, $tynz:ty, $ty:ty, $distr:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = $distr; |
| |
| b.iter(|| { |
| let mut accum = 0 as $ty; |
| for _ in 0..::RAND_BENCH_N { |
| let x: $tynz = distr.sample(&mut rng); |
| accum = accum.wrapping_add(x.get()); |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| macro_rules! distr_float { |
| ($fnn:ident, $ty:ty, $distr:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = $distr; |
| |
| b.iter(|| { |
| let mut accum = 0.0; |
| for _ in 0..::RAND_BENCH_N { |
| let x: $ty = distr.sample(&mut rng); |
| accum += x; |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| macro_rules! distr_duration { |
| ($fnn:ident, $distr:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = $distr; |
| |
| b.iter(|| { |
| let mut accum = Duration::new(0, 0); |
| for _ in 0..::RAND_BENCH_N { |
| let x: Duration = distr.sample(&mut rng); |
| accum = accum.checked_add(x).unwrap_or(Duration::new(u64::max_value(), 999_999_999)); |
| } |
| accum |
| }); |
| b.bytes = size_of::<Duration>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| macro_rules! distr { |
| ($fnn:ident, $ty:ty, $distr:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = $distr; |
| |
| b.iter(|| { |
| let mut accum = 0u32; |
| for _ in 0..::RAND_BENCH_N { |
| let x: $ty = distr.sample(&mut rng); |
| accum = accum.wrapping_add(x as u32); |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| macro_rules! distr_arr { |
| ($fnn:ident, $ty:ty, $distr:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = $distr; |
| |
| b.iter(|| { |
| let mut accum = 0u32; |
| for _ in 0..::RAND_BENCH_N { |
| let x: $ty = distr.sample(&mut rng); |
| accum = accum.wrapping_add(x[0] as u32); |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| // uniform |
| distr_int!(distr_uniform_i8, i8, Uniform::new(20i8, 100)); |
| distr_int!(distr_uniform_i16, i16, Uniform::new(-500i16, 2000)); |
| distr_int!(distr_uniform_i32, i32, Uniform::new(-200_000_000i32, 800_000_000)); |
| distr_int!(distr_uniform_i64, i64, Uniform::new(3i64, 123_456_789_123)); |
| distr_int!(distr_uniform_i128, i128, Uniform::new(-123_456_789_123i128, 123_456_789_123_456_789)); |
| distr_int!(distr_uniform_usize16, usize, Uniform::new(0usize, 0xb9d7)); |
| distr_int!(distr_uniform_usize32, usize, Uniform::new(0usize, 0x548c0f43)); |
| #[cfg(target_pointer_width = "64")] |
| distr_int!(distr_uniform_usize64, usize, Uniform::new(0usize, 0x3a42714f2bf927a8)); |
| distr_int!(distr_uniform_isize, isize, Uniform::new(-1060478432isize, 1858574057)); |
| |
| distr_float!(distr_uniform_f32, f32, Uniform::new(2.26f32, 2.319)); |
| distr_float!(distr_uniform_f64, f64, Uniform::new(2.26f64, 2.319)); |
| |
| const LARGE_SEC: u64 = u64::max_value() / 1000; |
| |
| distr_duration!(distr_uniform_duration_largest, |
| Uniform::new_inclusive(Duration::new(0, 0), Duration::new(u64::max_value(), 999_999_999)) |
| ); |
| distr_duration!(distr_uniform_duration_large, |
| Uniform::new(Duration::new(0, 0), Duration::new(LARGE_SEC, 1_000_000_000 / 2)) |
| ); |
| distr_duration!(distr_uniform_duration_one, |
| Uniform::new(Duration::new(0, 0), Duration::new(1, 0)) |
| ); |
| distr_duration!(distr_uniform_duration_variety, |
| Uniform::new(Duration::new(10000, 423423), Duration::new(200000, 6969954)) |
| ); |
| distr_duration!(distr_uniform_duration_edge, |
| Uniform::new_inclusive(Duration::new(LARGE_SEC, 999_999_999), Duration::new(LARGE_SEC + 1, 1)) |
| ); |
| |
| |
| // standard |
| distr_int!(distr_standard_i8, i8, Standard); |
| distr_int!(distr_standard_i16, i16, Standard); |
| distr_int!(distr_standard_i32, i32, Standard); |
| distr_int!(distr_standard_i64, i64, Standard); |
| distr_int!(distr_standard_i128, i128, Standard); |
| #[cfg(rustc_1_28)] distr_nz_int!(distr_standard_nz8, NonZeroU8, u8, Standard); |
| #[cfg(rustc_1_28)] distr_nz_int!(distr_standard_nz16, NonZeroU16, u16, Standard); |
| #[cfg(rustc_1_28)] distr_nz_int!(distr_standard_nz32, NonZeroU32, u32, Standard); |
| #[cfg(rustc_1_28)] distr_nz_int!(distr_standard_nz64, NonZeroU64, u64, Standard); |
| #[cfg(rustc_1_28)] distr_nz_int!(distr_standard_nz128, NonZeroU128, u128, Standard); |
| |
| distr!(distr_standard_bool, bool, Standard); |
| distr!(distr_standard_alphanumeric, char, Alphanumeric); |
| distr!(distr_standard_codepoint, char, Standard); |
| |
| distr_float!(distr_standard_f32, f32, Standard); |
| distr_float!(distr_standard_f64, f64, Standard); |
| distr_float!(distr_open01_f32, f32, Open01); |
| distr_float!(distr_open01_f64, f64, Open01); |
| distr_float!(distr_openclosed01_f32, f32, OpenClosed01); |
| distr_float!(distr_openclosed01_f64, f64, OpenClosed01); |
| |
| // distributions |
| distr_float!(distr_exp, f64, Exp::new(1.23 * 4.56).unwrap()); |
| distr_float!(distr_normal, f64, Normal::new(-1.23, 4.56).unwrap()); |
| distr_float!(distr_log_normal, f64, LogNormal::new(-1.23, 4.56).unwrap()); |
| distr_float!(distr_gamma_large_shape, f64, Gamma::new(10., 1.0).unwrap()); |
| distr_float!(distr_gamma_small_shape, f64, Gamma::new(0.1, 1.0).unwrap()); |
| distr_float!(distr_cauchy, f64, Cauchy::new(4.2, 6.9).unwrap()); |
| distr_float!(distr_triangular, f64, Triangular::new(0., 1., 0.9).unwrap()); |
| distr_int!(distr_binomial, u64, Binomial::new(20, 0.7).unwrap()); |
| distr_int!(distr_binomial_small, u64, Binomial::new(1000000, 1e-30).unwrap()); |
| distr_int!(distr_poisson, u64, Poisson::new(4.0).unwrap()); |
| distr!(distr_bernoulli, bool, Bernoulli::new(0.18).unwrap()); |
| distr_arr!(distr_circle, [f64; 2], UnitCircle); |
| distr_arr!(distr_sphere, [f64; 3], UnitSphere); |
| |
| // Weighted |
| distr_int!(distr_weighted_i8, usize, WeightedIndex::new(&[1i8, 2, 3, 4, 12, 0, 2, 1]).unwrap()); |
| distr_int!(distr_weighted_u32, usize, WeightedIndex::new(&[1u32, 2, 3, 4, 12, 0, 2, 1]).unwrap()); |
| distr_int!(distr_weighted_f64, usize, WeightedIndex::new(&[1.0f64, 0.001, 1.0/3.0, 4.01, 0.0, 3.3, 22.0, 0.001]).unwrap()); |
| distr_int!(distr_weighted_large_set, usize, WeightedIndex::new((0..10000).rev().chain(1..10001)).unwrap()); |
| |
| distr_int!(distr_weighted_alias_method_i8, usize, weighted::alias_method::WeightedIndex::new(vec![1i8, 2, 3, 4, 12, 0, 2, 1]).unwrap()); |
| distr_int!(distr_weighted_alias_method_u32, usize, weighted::alias_method::WeightedIndex::new(vec![1u32, 2, 3, 4, 12, 0, 2, 1]).unwrap()); |
| distr_int!(distr_weighted_alias_method_f64, usize, weighted::alias_method::WeightedIndex::new(vec![1.0f64, 0.001, 1.0/3.0, 4.01, 0.0, 3.3, 22.0, 0.001]).unwrap()); |
| distr_int!(distr_weighted_alias_method_large_set, usize, weighted::alias_method::WeightedIndex::new((0..10000).rev().chain(1..10001).collect()).unwrap()); |
| |
| // construct and sample from a range |
| macro_rules! gen_range_int { |
| ($fnn:ident, $ty:ident, $low:expr, $high:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| |
| b.iter(|| { |
| let mut high = $high; |
| let mut accum: $ty = 0; |
| for _ in 0..::RAND_BENCH_N { |
| accum = accum.wrapping_add(rng.gen_range($low, high)); |
| // force recalculation of range each time |
| high = high.wrapping_add(1) & std::$ty::MAX; |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| gen_range_int!(gen_range_i8, i8, -20i8, 100); |
| gen_range_int!(gen_range_i16, i16, -500i16, 2000); |
| gen_range_int!(gen_range_i32, i32, -200_000_000i32, 800_000_000); |
| gen_range_int!(gen_range_i64, i64, 3i64, 123_456_789_123); |
| gen_range_int!(gen_range_i128, i128, -12345678901234i128, 123_456_789_123_456_789); |
| |
| // construct and sample from a floating-point range |
| macro_rules! gen_range_float { |
| ($fnn:ident, $ty:ident, $low:expr, $high:expr) => { |
| #[bench] |
| fn $fnn(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| |
| b.iter(|| { |
| let mut high = $high; |
| let mut low = $low; |
| let mut accum: $ty = 0.0; |
| for _ in 0..::RAND_BENCH_N { |
| accum += rng.gen_range(low, high); |
| // force recalculation of range each time |
| low += 0.9; |
| high += 1.1; |
| } |
| accum |
| }); |
| b.bytes = size_of::<$ty>() as u64 * ::RAND_BENCH_N; |
| } |
| } |
| } |
| |
| gen_range_float!(gen_range_f32, f32, -20000.0f32, 100000.0); |
| gen_range_float!(gen_range_f64, f64, 123.456f64, 7890.12); |
| |
| #[bench] |
| fn dist_iter(b: &mut Bencher) { |
| let mut rng = SmallRng::from_entropy(); |
| let distr = Normal::new(-2.71828, 3.14159).unwrap(); |
| let mut iter = distr.sample_iter(&mut rng); |
| |
| b.iter(|| { |
| let mut accum = 0.0; |
| for _ in 0..::RAND_BENCH_N { |
| accum += iter.next().unwrap(); |
| } |
| accum |
| }); |
| b.bytes = size_of::<f64>() as u64 * ::RAND_BENCH_N; |
| } |
| |
| macro_rules! sample_binomial { |
| ($name:ident, $n:expr, $p:expr) => { |
| #[bench] |
| fn $name(b: &mut Bencher) { |
| let mut rng = SmallRng::from_rng(&mut thread_rng()).unwrap(); |
| let (n, p) = ($n, $p); |
| b.iter(|| { |
| let d = Binomial::new(n, p).unwrap(); |
| rng.sample(d) |
| }) |
| } |
| } |
| } |
| |
| sample_binomial!(misc_binomial_1, 1, 0.9); |
| sample_binomial!(misc_binomial_10, 10, 0.9); |
| sample_binomial!(misc_binomial_100, 100, 0.99); |
| sample_binomial!(misc_binomial_1000, 1000, 0.01); |
| sample_binomial!(misc_binomial_1e12, 1000_000_000_000, 0.2); |