161 lines
4.0 KiB
Rust
161 lines
4.0 KiB
Rust
// Copyright 2018 Developers of the Rand project.
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//
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// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
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// https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
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// <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your
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// option. This file may not be copied, modified, or distributed
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// except according to those terms.
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#![feature(test)]
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extern crate test;
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extern crate rand;
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const RAND_BENCH_N: u64 = 1000;
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use test::Bencher;
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use rand::prelude::*;
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#[bench]
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fn misc_gen_bool_const(b: &mut Bencher) {
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let mut rng = StdRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let mut accum = true;
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for _ in 0..::RAND_BENCH_N {
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accum ^= rng.gen_bool(0.18);
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}
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accum
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})
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}
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#[bench]
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fn misc_gen_bool_var(b: &mut Bencher) {
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let mut rng = StdRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let mut accum = true;
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let mut p = 0.18;
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for _ in 0..::RAND_BENCH_N {
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accum ^= rng.gen_bool(p);
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p += 0.0001;
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}
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accum
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})
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}
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#[bench]
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fn misc_gen_ratio_const(b: &mut Bencher) {
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let mut rng = StdRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let mut accum = true;
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for _ in 0..::RAND_BENCH_N {
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accum ^= rng.gen_ratio(2, 3);
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}
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accum
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})
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}
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#[bench]
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fn misc_gen_ratio_var(b: &mut Bencher) {
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let mut rng = StdRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let mut accum = true;
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for i in 2..(::RAND_BENCH_N as u32 + 2) {
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accum ^= rng.gen_ratio(i, i + 1);
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}
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accum
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})
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}
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#[bench]
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fn misc_bernoulli_const(b: &mut Bencher) {
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let mut rng = StdRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let d = rand::distributions::Bernoulli::new(0.18);
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let mut accum = true;
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for _ in 0..::RAND_BENCH_N {
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accum ^= rng.sample(d);
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}
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accum
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})
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}
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#[bench]
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fn misc_bernoulli_var(b: &mut Bencher) {
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let mut rng = StdRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let mut accum = true;
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let mut p = 0.18;
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for _ in 0..::RAND_BENCH_N {
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let d = rand::distributions::Bernoulli::new(p);
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accum ^= rng.sample(d);
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p += 0.0001;
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}
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accum
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})
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}
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macro_rules! sample_binomial {
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($name:ident, $n:expr, $p:expr) => {
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#[bench]
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fn $name(b: &mut Bencher) {
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let mut rng = SmallRng::from_rng(&mut thread_rng()).unwrap();
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let (n, p) = ($n, $p);
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b.iter(|| {
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let d = rand::distributions::Binomial::new(n, p);
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rng.sample(d)
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})
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}
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}
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}
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sample_binomial!(misc_binomial_1, 1, 0.9);
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sample_binomial!(misc_binomial_10, 10, 0.9);
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sample_binomial!(misc_binomial_100, 100, 0.99);
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sample_binomial!(misc_binomial_1000, 1000, 0.01);
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sample_binomial!(misc_binomial_1e12, 1000_000_000_000, 0.2);
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#[bench]
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fn gen_1k_iter_repeat(b: &mut Bencher) {
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use std::iter;
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let mut rng = SmallRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let v: Vec<u64> = iter::repeat(()).map(|()| rng.gen()).take(128).collect();
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v
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});
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b.bytes = 1024;
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}
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#[bench]
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fn gen_1k_sample_iter(b: &mut Bencher) {
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use rand::distributions::{Distribution, Standard};
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let mut rng = SmallRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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let v: Vec<u64> = Standard.sample_iter(&mut rng).take(128).collect();
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v
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});
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b.bytes = 1024;
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}
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#[bench]
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fn gen_1k_gen_array(b: &mut Bencher) {
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let mut rng = SmallRng::from_rng(&mut thread_rng()).unwrap();
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b.iter(|| {
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// max supported array length is 32!
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let v: [[u64; 32]; 4] = rng.gen();
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v
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});
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b.bytes = 1024;
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}
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#[bench]
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fn gen_1k_fill(b: &mut Bencher) {
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let mut rng = SmallRng::from_rng(&mut thread_rng()).unwrap();
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let mut buf = [0u64; 128];
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b.iter(|| {
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rng.fill(&mut buf[..]);
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buf
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});
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b.bytes = 1024;
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}
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