mirror of
https://github.com/cloud-hypervisor/cloud-hypervisor.git
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d5f5648b37
We use cargo vendor to generate a .cargo/config file and the vendor directory. Vendoring allows us to lock our dependencies and to modify them easily from the top level Cargo.toml. We vendor all dependencies, including the crates.io ones, which allows for network isolated builds. Signed-off-by: Samuel Ortiz <sameo@linux.intel.com>
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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