/
distributions.rs
167 lines (145 loc) · 5.7 KB
/
distributions.rs
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#![feature(test)]
#![cfg_attr(all(feature="i128_support", feature="nightly"), allow(stable_features))] // stable since 2018-03-27
#![cfg_attr(all(feature="i128_support", feature="nightly"), feature(i128_type, i128))]
extern crate test;
extern crate rand;
const RAND_BENCH_N: u64 = 1000;
use std::mem::size_of;
use test::Bencher;
use rand::{Rng, FromEntropy};
use rand::prng::XorShiftRng;
use rand::distributions::*;
macro_rules! distr_int {
($fnn:ident, $ty:ty, $distr:expr) => {
#[bench]
fn $fnn(b: &mut Bencher) {
let mut rng = XorShiftRng::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_float {
($fnn:ident, $ty:ty, $distr:expr) => {
#[bench]
fn $fnn(b: &mut Bencher) {
let mut rng = XorShiftRng::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 {
($fnn:ident, $ty:ty, $distr:expr) => {
#[bench]
fn $fnn(b: &mut Bencher) {
let mut rng = XorShiftRng::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;
}
}
}
// 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));
#[cfg(feature = "i128_support")]
distr_int!(distr_uniform_i128, i128, Uniform::new(-123_456_789_123i128, 123_456_789_123_456_789));
distr_float!(distr_uniform_f32, f32, Uniform::new(2.26f32, 2.319));
distr_float!(distr_uniform_f64, f64, Uniform::new(2.26f64, 2.319));
// 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);
#[cfg(feature = "i128_support")]
distr_int!(distr_standard_i128, i128, 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));
distr_float!(distr_normal, f64, Normal::new(-1.23, 4.56));
distr_float!(distr_log_normal, f64, LogNormal::new(-1.23, 4.56));
distr_float!(distr_gamma_large_shape, f64, Gamma::new(10., 1.0));
distr_float!(distr_gamma_small_shape, f64, Gamma::new(0.1, 1.0));
distr_float!(distr_cauchy, f64, Cauchy::new(4.2, 6.9));
distr_int!(distr_binomial, u64, Binomial::new(20, 0.7));
distr_int!(distr_poisson, u64, Poisson::new(4.0));
distr!(distr_bernoulli, bool, Bernoulli::new(0.18));
// 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());
// 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 = XorShiftRng::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);
#[cfg(feature = "i128_support")]
gen_range_int!(gen_range_i128, i128, -12345678901234i128, 123_456_789_123_456_789);
#[bench]
fn dist_iter(b: &mut Bencher) {
let mut rng = XorShiftRng::from_entropy();
let distr = Normal::new(-2.71828, 3.14159);
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;
}