blob: 40986863482606beae148a9f31e2d950dad64070 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
|
// 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;
const RAND_BENCH_N: u64 = 1000;
use test::Bencher;
use rand::prelude::*;
use rand::distributions::{Distribution, Standard, Bernoulli};
use rand_pcg::{Pcg32, Pcg64Mcg};
#[bench]
fn misc_gen_bool_const(b: &mut Bencher) {
let mut rng = Pcg32::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let mut accum = true;
for _ in 0..crate::RAND_BENCH_N {
accum ^= rng.gen_bool(0.18);
}
accum
})
}
#[bench]
fn misc_gen_bool_var(b: &mut Bencher) {
let mut rng = Pcg32::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let mut accum = true;
let mut p = 0.18;
for _ in 0..crate::RAND_BENCH_N {
accum ^= rng.gen_bool(p);
p += 0.0001;
}
accum
})
}
#[bench]
fn misc_gen_ratio_const(b: &mut Bencher) {
let mut rng = Pcg32::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let mut accum = true;
for _ in 0..crate::RAND_BENCH_N {
accum ^= rng.gen_ratio(2, 3);
}
accum
})
}
#[bench]
fn misc_gen_ratio_var(b: &mut Bencher) {
let mut rng = Pcg32::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let mut accum = true;
for i in 2..(crate::RAND_BENCH_N as u32 + 2) {
accum ^= rng.gen_ratio(i, i + 1);
}
accum
})
}
#[bench]
fn misc_bernoulli_const(b: &mut Bencher) {
let mut rng = Pcg32::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let d = rand::distributions::Bernoulli::new(0.18).unwrap();
let mut accum = true;
for _ in 0..crate::RAND_BENCH_N {
accum ^= rng.sample(d);
}
accum
})
}
#[bench]
fn misc_bernoulli_var(b: &mut Bencher) {
let mut rng = Pcg32::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let mut accum = true;
let mut p = 0.18;
for _ in 0..crate::RAND_BENCH_N {
let d = Bernoulli::new(p).unwrap();
accum ^= rng.sample(d);
p += 0.0001;
}
accum
})
}
#[bench]
fn gen_1k_iter_repeat(b: &mut Bencher) {
use std::iter;
let mut rng = Pcg64Mcg::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let v: Vec<u64> = iter::repeat(()).map(|()| rng.gen()).take(128).collect();
v
});
b.bytes = 1024;
}
#[bench]
fn gen_1k_sample_iter(b: &mut Bencher) {
let mut rng = Pcg64Mcg::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
let v: Vec<u64> = Standard.sample_iter(&mut rng).take(128).collect();
v
});
b.bytes = 1024;
}
#[bench]
fn gen_1k_gen_array(b: &mut Bencher) {
let mut rng = Pcg64Mcg::from_rng(&mut thread_rng()).unwrap();
b.iter(|| {
// max supported array length is 32!
let v: [[u64; 32]; 4] = rng.gen();
v
});
b.bytes = 1024;
}
#[bench]
fn gen_1k_fill(b: &mut Bencher) {
let mut rng = Pcg64Mcg::from_rng(&mut thread_rng()).unwrap();
let mut buf = [0u64; 128];
b.iter(|| {
rng.fill(&mut buf[..]);
buf
});
b.bytes = 1024;
}
|