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#![allow(non_snake_case)]
extern crate byteorder;
extern crate core;
extern crate criterion;
extern crate digest;
extern crate libspartan;
extern crate merlin;
extern crate rand;
extern crate sha3;
use libspartan::commitments::Commitments;
use libspartan::commitments::MultiCommitGens;
use libspartan::dense_mlpoly::DensePolynomial;
use libspartan::math::Math;
use libspartan::nizk::DotProductProof;
use libspartan::random::RandomTape;
use libspartan::scalar::Scalar;
use libspartan::sumcheck::ZKSumcheckInstanceProof;
use libspartan::transcript::ProofTranscript;
use merlin::Transcript;
use rand::rngs::OsRng;
use criterion::*;
fn prove_benchmark(c: &mut Criterion) {
for &s in [10, 12, 16, 20].iter() {
let plot_config = PlotConfiguration::default().summary_scale(AxisScale::Logarithmic);
let mut group = c.benchmark_group("zksumcheck_prove_benchmark");
group.plot_config(plot_config);
// produce tables
let gens_n = MultiCommitGens::new(3, b"test-m");
let gens_1 = MultiCommitGens::new(1, b"test-1");
let num_rounds = s;
let n = s.pow2();
let mut csprng: OsRng = OsRng;
let vec_A = (0..n)
.map(|_i| Scalar::random(&mut csprng))
.collect::<Vec<Scalar>>();
let vec_B = (0..n)
.map(|_i| Scalar::random(&mut csprng))
.collect::<Vec<Scalar>>();
let claim = DotProductProof::compute_dotproduct(&vec_A, &vec_B);
let mut poly_A = DensePolynomial::new(vec_A);
let mut poly_B = DensePolynomial::new(vec_B);
let blind_claim = Scalar::random(&mut csprng);
let comb_func =
|poly_A_comp: &Scalar, poly_B_comp: &Scalar| -> Scalar { poly_A_comp * poly_B_comp };
let name = format!("zksumcheck_prove_{}", n);
group.bench_function(&name, move |b| {
b.iter(|| {
let mut random_tape = RandomTape::new(b"proof");
let mut prover_transcript = Transcript::new(b"example");
ZKSumcheckInstanceProof::prove_quad(
black_box(&claim),
black_box(&blind_claim),
black_box(num_rounds),
black_box(&mut poly_A),
black_box(&mut poly_B),
black_box(comb_func),
black_box(&gens_1),
black_box(&gens_n),
black_box(&mut prover_transcript),
black_box(&mut random_tape),
)
});
});
group.finish();
}
}
fn verify_benchmark(c: &mut Criterion) {
for &s in [10, 12, 16, 20].iter() {
let plot_config = PlotConfiguration::default().summary_scale(AxisScale::Logarithmic);
let mut group = c.benchmark_group("zksumcheck_verify_benchmark");
group.plot_config(plot_config);
// produce tables
let gens_n = MultiCommitGens::new(3, b"test-m");
let gens_1 = MultiCommitGens::new(1, b"test-1");
let num_rounds = s;
let n = s.pow2();
let mut csprng: OsRng = OsRng;
let vec_A = (0..n)
.map(|_i| Scalar::random(&mut csprng))
.collect::<Vec<Scalar>>();
let vec_B = (0..n)
.map(|_i| Scalar::random(&mut csprng))
.collect::<Vec<Scalar>>();
let claim = DotProductProof::compute_dotproduct(&vec_A, &vec_B);
let mut poly_A = DensePolynomial::new(vec_A);
let mut poly_B = DensePolynomial::new(vec_B);
let blind_claim = Scalar::random(&mut csprng);
let comb_func =
|poly_A_comp: &Scalar, poly_B_comp: &Scalar| -> Scalar { poly_A_comp * poly_B_comp };
let mut random_tape = RandomTape::new(b"proof");
let mut prover_transcript = Transcript::new(b"example");
let (proof, _r, _v, _blind_post_claim) = ZKSumcheckInstanceProof::prove_quad(
&claim,
&blind_claim,
num_rounds,
&mut poly_A,
&mut poly_B,
comb_func,
&gens_1,
&gens_n,
&mut prover_transcript,
&mut random_tape,
);
let name = format!("zksumcheck_verify_{}", n);
let degree_bound = 2;
let comm_claim = claim.commit(&blind_claim, &gens_1).compress();
group.bench_function(&name, move |b| {
b.iter(|| {
let mut verifier_transcript = Transcript::new(b"example");
assert!(proof
.verify(
black_box(&comm_claim),
black_box(num_rounds),
black_box(degree_bound),
black_box(&gens_1),
black_box(&gens_n),
black_box(&mut verifier_transcript)
)
.is_ok())
});
});
group.finish();
}
}
fn set_duration() -> Criterion {
Criterion::default().sample_size(10)
// .measurement_time(Duration::new(0, 50000000))
}
criterion_group! {
name = benches_r1cs;
config = set_duration();
targets = verify_benchmark, prove_benchmark
}
criterion_main!(benches_r1cs);