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Fix pairing benchmarks

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They were broken by #91 but went unnoticed because CI does not compile
the benchmarks, which requires the nightly toolchain.
This commit is contained in:
Jack Grigg
2019-10-08 15:25:41 +13:00
parent 39971891d5
commit b872e9fc49
7 changed files with 285 additions and 112 deletions
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50
pairing/benches/bls12_381/ec.rs
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@@ -1,6 +1,8 @@
mod g1 {
use rand::{Rand, SeedableRng, XorShiftRng};
use rand_core::SeedableRng;
use rand_xorshift::XorShiftRng;
use ff::Field;
use group::CurveProjective;
use pairing::bls12_381::*;
@@ -8,10 +10,13 @@ mod g1 {
fn bench_g1_mul_assign(b: &mut ::test::Bencher) {
const SAMPLES: usize = 1000;
let mut rng = XorShiftRng::from_seed([0x5dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
let mut rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37, 0x32, 0x54, 0x06,
0xbc, 0xe5,
]);
let v: Vec<(G1, Fr)> = (0..SAMPLES)
.map(|_| (G1::rand(&mut rng), Fr::rand(&mut rng)))
.map(|_| (G1::random(&mut rng), Fr::random(&mut rng)))
.collect();
let mut count = 0;
@@ -27,10 +32,13 @@ mod g1 {
fn bench_g1_add_assign(b: &mut ::test::Bencher) {
const SAMPLES: usize = 1000;
let mut rng = XorShiftRng::from_seed([0x5dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
let mut rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37, 0x32, 0x54, 0x06,
0xbc, 0xe5,
]);
let v: Vec<(G1, G1)> = (0..SAMPLES)
.map(|_| (G1::rand(&mut rng), G1::rand(&mut rng)))
.map(|_| (G1::random(&mut rng), G1::random(&mut rng)))
.collect();
let mut count = 0;
@@ -46,10 +54,13 @@ mod g1 {
fn bench_g1_add_assign_mixed(b: &mut ::test::Bencher) {
const SAMPLES: usize = 1000;
let mut rng = XorShiftRng::from_seed([0x5dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
let mut rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37, 0x32, 0x54, 0x06,
0xbc, 0xe5,
]);
let v: Vec<(G1, G1Affine)> = (0..SAMPLES)
.map(|_| (G1::rand(&mut rng), G1::rand(&mut rng).into()))
.map(|_| (G1::random(&mut rng), G1::random(&mut rng).into()))
.collect();
let mut count = 0;
@@ -63,8 +74,10 @@ mod g1 {
}
mod g2 {
use rand::{Rand, SeedableRng, XorShiftRng};
use rand_core::SeedableRng;
use rand_xorshift::XorShiftRng;
use ff::Field;
use group::CurveProjective;
use pairing::bls12_381::*;
@@ -72,10 +85,13 @@ mod g2 {
fn bench_g2_mul_assign(b: &mut ::test::Bencher) {
const SAMPLES: usize = 1000;
let mut rng = XorShiftRng::from_seed([0x5dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
let mut rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37, 0x32, 0x54, 0x06,
0xbc, 0xe5,
]);
let v: Vec<(G2, Fr)> = (0..SAMPLES)
.map(|_| (G2::rand(&mut rng), Fr::rand(&mut rng)))
.map(|_| (G2::random(&mut rng), Fr::random(&mut rng)))
.collect();
let mut count = 0;
@@ -91,10 +107,13 @@ mod g2 {
fn bench_g2_add_assign(b: &mut ::test::Bencher) {
const SAMPLES: usize = 1000;
let mut rng = XorShiftRng::from_seed([0x5dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
let mut rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37, 0x32, 0x54, 0x06,
0xbc, 0xe5,
]);
let v: Vec<(G2, G2)> = (0..SAMPLES)
.map(|_| (G2::rand(&mut rng), G2::rand(&mut rng)))
.map(|_| (G2::random(&mut rng), G2::random(&mut rng)))
.collect();
let mut count = 0;
@@ -110,10 +129,13 @@ mod g2 {
fn bench_g2_add_assign_mixed(b: &mut ::test::Bencher) {
const SAMPLES: usize = 1000;
let mut rng = XorShiftRng::from_seed([0x5dbe6259, 0x8d313d76, 0x3237db17, 0xe5bc0654]);
let mut rng = XorShiftRng::from_seed([
0x59, 0x62, 0xbe, 0x5d, 0x76, 0x3d, 0x31, 0x8d, 0x17, 0xdb, 0x37, 0x32, 0x54, 0x06,
0xbc, 0xe5,
]);
let v: Vec<(G2, G2Affine)> = (0..SAMPLES)
.map(|_| (G2::rand(&mut rng), G2::rand(&mut rng).into()))
.map(|_| (G2::random(&mut rng), G2::random(&mut rng).into()))
.collect();
let mut count = 0;