mirror of
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support for stable Rust (#51)
* support for stable Rust * add no default to stable * add no default to stable * update CI
This commit is contained in:
committed by
maramihali
parent
e1383ff248
commit
4f56acf724
2
.github/workflows/rust.yml
vendored
2
.github/workflows/rust.yml
vendored
@@ -7,7 +7,7 @@ on:
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branches: [ master ]
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jobs:
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build:
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build_nightly:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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@@ -2,7 +2,7 @@
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name = "spartan"
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version = "0.6.0"
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authors = ["Srinath Setty <srinath@microsoft.com>"]
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edition = "2018"
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edition = "2021"
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description = "High-speed zkSNARKs without trusted setup"
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documentation = "https://docs.rs/spartan/"
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readme = "README.md"
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@@ -121,7 +121,7 @@ impl IdentityPolynomial {
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impl DensePolynomial {
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pub fn new(Z: Vec<Scalar>) -> Self {
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DensePolynomial {
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num_vars: Z.len().log2() as usize,
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num_vars: Z.len().log_2() as usize,
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len: Z.len(),
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Z,
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}
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@@ -1,6 +1,4 @@
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#![allow(non_snake_case)]
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#![feature(test)]
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#![feature(int_log)]
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#![doc = include_str!("../README.md")]
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#![deny(missing_docs)]
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#![allow(clippy::assertions_on_result_states)]
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11
src/math.rs
11
src/math.rs
@@ -2,6 +2,7 @@ pub trait Math {
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fn square_root(self) -> usize;
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fn pow2(self) -> usize;
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fn get_bits(self, num_bits: usize) -> Vec<bool>;
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fn log_2(self) -> usize;
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}
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impl Math for usize {
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@@ -22,4 +23,14 @@ impl Math for usize {
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.map(|shift_amount| ((self & (1 << (num_bits - shift_amount - 1))) > 0))
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.collect::<Vec<bool>>()
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}
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fn log_2(self) -> usize {
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assert_ne!(self, 0);
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if self.is_power_of_two() {
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(1usize.leading_zeros() - self.leading_zeros()) as usize
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} else {
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(0usize.leading_zeros() - self.leading_zeros()) as usize
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}
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}
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}
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@@ -4,15 +4,19 @@
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#![allow(clippy::type_complexity)]
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#![allow(clippy::too_many_arguments)]
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use super::super::errors::ProofVerifyError;
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use super::super::group::{CompressedGroup, GroupElement, VartimeMultiscalarMul, CompressGroupElement, DecompressGroupElement};
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use super::super::group::{
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CompressGroupElement, CompressedGroup, DecompressGroupElement, GroupElement,
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VartimeMultiscalarMul,
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};
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use super::super::math::Math;
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use super::super::scalar::Scalar;
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use super::super::transcript::ProofTranscript;
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use core::iter;
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use std::ops::MulAssign;
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use merlin::Transcript;
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use ark_ff::{fields, Field};
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use ark_serialize::*;
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use ark_ff::{Field, fields};
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use ark_std::{One, Zero};
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use ark_std::{One, Zero};
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use core::iter;
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use merlin::Transcript;
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use std::ops::MulAssign;
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#[derive(Debug, CanonicalSerialize, CanonicalDeserialize)]
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pub struct BulletReductionProof {
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@@ -58,7 +62,7 @@ impl BulletReductionProof {
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// All of the input vectors must have a length that is a power of two.
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let mut n = G.len();
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assert!(n.is_power_of_two());
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let lg_n = n.log2() as usize;
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let lg_n = n.log_2() as usize;
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// All of the input vectors must have the same length.
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assert_eq!(G.len(), n);
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@@ -86,16 +90,34 @@ impl BulletReductionProof {
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a_L
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.iter()
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.chain(iter::once(&c_L))
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.chain(iter::once(blind_L)).map(|s| *s).collect::<Vec<Scalar>>().as_slice(),
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G_R.iter().chain(iter::once(Q)).chain(iter::once(H)).map(|p| *p).collect::<Vec<GroupElement>>().as_slice(),
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.chain(iter::once(blind_L))
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.map(|s| *s)
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.collect::<Vec<Scalar>>()
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.as_slice(),
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G_R
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.iter()
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.chain(iter::once(Q))
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.chain(iter::once(H))
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.map(|p| *p)
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.collect::<Vec<GroupElement>>()
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.as_slice(),
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);
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let R = GroupElement::vartime_multiscalar_mul(
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a_R
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.iter()
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.chain(iter::once(&c_R))
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.chain(iter::once(blind_R)).map(|s| *s).collect::<Vec<Scalar>>().as_slice(),
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G_L.iter().chain(iter::once(Q)).chain(iter::once(H)).map(|p| *p).collect::<Vec<GroupElement>>().as_slice(),
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.chain(iter::once(blind_R))
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.map(|s| *s)
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.collect::<Vec<Scalar>>()
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.as_slice(),
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G_L
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.iter()
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.chain(iter::once(Q))
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.chain(iter::once(H))
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.map(|p| *p)
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.collect::<Vec<GroupElement>>()
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.as_slice(),
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);
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transcript.append_point(b"L", &L.compress());
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@@ -161,7 +183,7 @@ impl BulletReductionProof {
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// 2. Compute 1/(u_k...u_1) and 1/u_k, ..., 1/u_1
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let mut challenges_inv: Vec<Scalar> = challenges.clone();
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ark_ff::fields::batch_inversion(&mut challenges_inv);
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let mut allinv: Scalar = Scalar::one();
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for c in challenges.iter().filter(|s| !s.is_zero()) {
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@@ -225,8 +247,16 @@ impl BulletReductionProof {
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u_sq
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.iter()
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.chain(u_inv_sq.iter())
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.chain(iter::once(&Scalar::one())).map(|s| *s).collect::<Vec<Scalar>>().as_slice(),
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Ls.iter().chain(Rs.iter()).chain(iter::once(Gamma)).map(|p| *p).collect::<Vec<GroupElement>>().as_slice(),
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.chain(iter::once(&Scalar::one()))
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.map(|s| *s)
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.collect::<Vec<Scalar>>()
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.as_slice(),
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Ls.iter()
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.chain(Rs.iter())
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.chain(iter::once(Gamma))
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.map(|p| *p)
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.collect::<Vec<GroupElement>>()
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.as_slice(),
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);
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Ok((G_hat, Gamma_hat, a_hat))
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146
src/nizk/mod.rs
146
src/nizk/mod.rs
@@ -2,15 +2,18 @@
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use super::commitments::{Commitments, MultiCommitGens};
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use super::errors::ProofVerifyError;
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use super::group::{
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CompressedGroup, CompressGroupElement, UnpackGroupElement, GroupElement, DecompressGroupElement, GroupElementAffine};
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CompressGroupElement, CompressedGroup, DecompressGroupElement, GroupElement, GroupElementAffine,
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UnpackGroupElement,
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};
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use super::math::Math;
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use super::random::RandomTape;
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use super::scalar::Scalar;
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use super::transcript::{AppendToTranscript, ProofTranscript};
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use ark_ec::group::Group;
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use merlin::Transcript;
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use ark_serialize::*;
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use ark_ec::ProjectiveCurve;
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use ark_ff::PrimeField;
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use ark_serialize::*;
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use merlin::Transcript;
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mod bullet;
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use bullet::BulletReductionProof;
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@@ -49,7 +52,7 @@ impl KnowledgeProof {
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let c = transcript.challenge_scalar(b"c");
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let z1 = c * x + t1;
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let z2 = c * r + t2;
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let z2 = c * r + t2;
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(KnowledgeProof { alpha, z1, z2 }, C)
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}
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@@ -58,8 +61,7 @@ impl KnowledgeProof {
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&self,
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gens_n: &MultiCommitGens,
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transcript: &mut Transcript,
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C: &
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CompressedGroup,
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C: &CompressedGroup,
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) -> Result<(), ProofVerifyError> {
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transcript.append_protocol_name(KnowledgeProof::protocol_name());
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C.append_to_transcript(b"C", transcript);
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@@ -68,7 +70,7 @@ impl KnowledgeProof {
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let c = transcript.challenge_scalar(b"c");
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let lhs = self.z1.commit(&self.z2, gens_n).compress();
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let rhs = ( C.unpack()?.mul(c.into_repr()) + self.alpha.unpack()?).compress();
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let rhs = (C.unpack()?.mul(c.into_repr()) + self.alpha.unpack()?).compress();
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if lhs == rhs {
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Ok(())
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@@ -80,8 +82,7 @@ impl KnowledgeProof {
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#[derive(CanonicalSerialize, CanonicalDeserialize, Debug)]
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pub struct EqualityProof {
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alpha:
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CompressedGroup,
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alpha: CompressedGroup,
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z: Scalar,
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}
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@@ -98,9 +99,7 @@ impl EqualityProof {
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s1: &Scalar,
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v2: &Scalar,
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s2: &Scalar,
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) -> (EqualityProof,
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CompressedGroup,
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CompressedGroup) {
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) -> (EqualityProof, CompressedGroup, CompressedGroup) {
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transcript.append_protocol_name(EqualityProof::protocol_name());
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// produce a random Scalar
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@@ -126,10 +125,8 @@ impl EqualityProof {
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&self,
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gens_n: &MultiCommitGens,
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transcript: &mut Transcript,
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C1: &
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CompressedGroup,
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C2: &
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CompressedGroup,
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C1: &CompressedGroup,
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C2: &CompressedGroup,
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) -> Result<(), ProofVerifyError> {
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transcript.append_protocol_name(EqualityProof::protocol_name());
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C1.append_to_transcript(b"C1", transcript);
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@@ -155,12 +152,9 @@ impl EqualityProof {
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#[derive(CanonicalSerialize, CanonicalDeserialize, Debug)]
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pub struct ProductProof {
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alpha:
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CompressedGroup,
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beta:
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CompressedGroup,
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delta:
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CompressedGroup,
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alpha: CompressedGroup,
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beta: CompressedGroup,
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delta: CompressedGroup,
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z: Vec<Scalar>,
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}
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@@ -181,11 +175,8 @@ impl ProductProof {
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rZ: &Scalar,
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) -> (
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ProductProof,
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CompressedGroup,
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CompressedGroup,
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CompressedGroup,
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) {
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transcript.append_protocol_name(ProductProof::protocol_name());
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@@ -197,16 +188,14 @@ impl ProductProof {
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let b4 = random_tape.random_scalar(b"b4");
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let b5 = random_tape.random_scalar(b"b5");
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let X_unc = x.commit(rX, gens_n);
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let X_unc = x.commit(rX, gens_n);
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let X = X_unc.compress();
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X.append_to_transcript(b"X", transcript);
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let X_new = GroupElement::decompress(&X);
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assert_eq!(X_unc, X_new.unwrap());
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let Y = y.commit(rY, gens_n).compress();
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Y.append_to_transcript(b"Y", transcript);
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@@ -253,17 +242,17 @@ impl ProductProof {
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}
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fn check_equality(
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P: &
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CompressedGroup,
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X: &
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CompressedGroup,
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P: &CompressedGroup,
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X: &CompressedGroup,
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c: &Scalar,
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gens_n: &MultiCommitGens,
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z1: &Scalar,
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z2: &Scalar,
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) -> bool {
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println!("{:?}", X);
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let lhs = (GroupElement::decompress(P).unwrap() + GroupElement::decompress(X).unwrap().mul(c.into_repr())).compress();
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let lhs = (GroupElement::decompress(P).unwrap()
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+ GroupElement::decompress(X).unwrap().mul(c.into_repr()))
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.compress();
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let rhs = z1.commit(z2, gens_n).compress();
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lhs == rhs
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@@ -273,12 +262,9 @@ impl ProductProof {
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&self,
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gens_n: &MultiCommitGens,
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transcript: &mut Transcript,
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X: &
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CompressedGroup,
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Y: &
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CompressedGroup,
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Z: &
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CompressedGroup,
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X: &CompressedGroup,
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Y: &CompressedGroup,
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Z: &CompressedGroup,
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) -> Result<(), ProofVerifyError> {
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transcript.append_protocol_name(ProductProof::protocol_name());
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@@ -321,10 +307,8 @@ impl ProductProof {
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#[derive(Debug, CanonicalSerialize, CanonicalDeserialize)]
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pub struct DotProductProof {
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delta:
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CompressedGroup,
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beta:
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CompressedGroup,
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delta: CompressedGroup,
|
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beta: CompressedGroup,
|
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z: Vec<Scalar>,
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z_delta: Scalar,
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z_beta: Scalar,
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@@ -350,9 +334,7 @@ impl DotProductProof {
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a_vec: &[Scalar],
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y: &Scalar,
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blind_y: &Scalar,
|
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) -> (DotProductProof,
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CompressedGroup,
|
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CompressedGroup) {
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) -> (DotProductProof, CompressedGroup, CompressedGroup) {
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transcript.append_protocol_name(DotProductProof::protocol_name());
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|
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let n = x_vec.len();
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@@ -409,10 +391,8 @@ impl DotProductProof {
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gens_n: &MultiCommitGens,
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transcript: &mut Transcript,
|
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a: &[Scalar],
|
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Cx: &
|
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CompressedGroup,
|
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Cy: &
|
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CompressedGroup,
|
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Cx: &CompressedGroup,
|
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Cy: &CompressedGroup,
|
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) -> Result<(), ProofVerifyError> {
|
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assert_eq!(gens_n.n, a.len());
|
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assert_eq!(gens_1.n, 1);
|
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@@ -426,11 +406,12 @@ impl DotProductProof {
|
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|
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let c = transcript.challenge_scalar(b"c");
|
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|
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let mut result =
|
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Cx.unpack()?.mul(c.into_repr()) + self.delta.unpack()? == self.z.commit(&self.z_delta, gens_n);
|
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let mut result = Cx.unpack()?.mul(c.into_repr()) + self.delta.unpack()?
|
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== self.z.commit(&self.z_delta, gens_n);
|
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|
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let dotproduct_z_a = DotProductProof::compute_dotproduct(&self.z, a);
|
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result &= Cy.unpack()?.mul(c.into_repr()) + self.beta.unpack()? == dotproduct_z_a.commit(&self.z_beta, gens_1);
|
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result &= Cy.unpack()?.mul(c.into_repr()) + self.beta.unpack()?
|
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== dotproduct_z_a.commit(&self.z_beta, gens_1);
|
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if result {
|
||||
Ok(())
|
||||
} else {
|
||||
@@ -455,10 +436,8 @@ impl DotProductProofGens {
|
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#[derive(Debug, CanonicalSerialize, CanonicalDeserialize)]
|
||||
pub struct DotProductProofLog {
|
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bullet_reduction_proof: BulletReductionProof,
|
||||
delta:
|
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CompressedGroup,
|
||||
beta:
|
||||
CompressedGroup,
|
||||
delta: CompressedGroup,
|
||||
beta: CompressedGroup,
|
||||
z1: Scalar,
|
||||
z2: Scalar,
|
||||
}
|
||||
@@ -482,9 +461,7 @@ impl DotProductProofLog {
|
||||
a_vec: &[Scalar],
|
||||
y: &Scalar,
|
||||
blind_y: &Scalar,
|
||||
) -> (DotProductProofLog,
|
||||
CompressedGroup,
|
||||
CompressedGroup) {
|
||||
) -> (DotProductProofLog, CompressedGroup, CompressedGroup) {
|
||||
transcript.append_protocol_name(DotProductProofLog::protocol_name());
|
||||
|
||||
let n = x_vec.len();
|
||||
@@ -496,8 +473,8 @@ impl DotProductProofLog {
|
||||
let r_delta = random_tape.random_scalar(b"r_delta");
|
||||
let r_beta = random_tape.random_scalar(b"r_delta");
|
||||
let blinds_vec = {
|
||||
let v1 = random_tape.random_vector(b"blinds_vec_1", 2 * n.log2() as usize);
|
||||
let v2 = random_tape.random_vector(b"blinds_vec_2", 2 * n.log2() as usize);
|
||||
let v1 = random_tape.random_vector(b"blinds_vec_1", 2 * n.log_2());
|
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let v2 = random_tape.random_vector(b"blinds_vec_2", 2 * n.log_2());
|
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(0..v1.len())
|
||||
.map(|i| (v1[i], v2[i]))
|
||||
.collect::<Vec<(Scalar, Scalar)>>()
|
||||
@@ -562,10 +539,8 @@ impl DotProductProofLog {
|
||||
gens: &DotProductProofGens,
|
||||
transcript: &mut Transcript,
|
||||
a: &[Scalar],
|
||||
Cx: &
|
||||
CompressedGroup,
|
||||
Cy: &
|
||||
CompressedGroup,
|
||||
Cx: &CompressedGroup,
|
||||
Cy: &CompressedGroup,
|
||||
) -> Result<(), ProofVerifyError> {
|
||||
assert_eq!(gens.n, n);
|
||||
assert_eq!(a.len(), n);
|
||||
@@ -593,8 +568,11 @@ impl DotProductProofLog {
|
||||
let z1_s = &self.z1;
|
||||
let z2_s = &self.z2;
|
||||
|
||||
let lhs = ((Gamma_hat.mul(c_s.into_repr()) + beta_s).mul(a_hat_s.into_repr()) + delta_s).compress();
|
||||
let rhs = ((g_hat + gens.gens_1.G[0].mul(a_hat_s.into_repr())).mul(z1_s.into_repr()) + gens.gens_1.h.mul(z2_s.into_repr())).compress();
|
||||
let lhs =
|
||||
((Gamma_hat.mul(c_s.into_repr()) + beta_s).mul(a_hat_s.into_repr()) + delta_s).compress();
|
||||
let rhs = ((g_hat + gens.gens_1.G[0].mul(a_hat_s.into_repr())).mul(z1_s.into_repr())
|
||||
+ gens.gens_1.h.mul(z2_s.into_repr()))
|
||||
.compress();
|
||||
|
||||
assert_eq!(lhs, rhs);
|
||||
|
||||
@@ -610,15 +588,15 @@ impl DotProductProofLog {
|
||||
mod tests {
|
||||
use std::marker::PhantomData;
|
||||
|
||||
use crate::group::VartimeMultiscalarMul;
|
||||
use crate::group::VartimeMultiscalarMul;
|
||||
|
||||
use super::*;
|
||||
use ark_bls12_377::{G1Affine, Fq, FqParameters};
|
||||
use ark_ff::{Fp384, BigInteger384};
|
||||
use ark_std::{UniformRand};
|
||||
use super::*;
|
||||
use ark_bls12_377::{Fq, FqParameters, G1Affine};
|
||||
use ark_ff::{BigInteger384, Fp384};
|
||||
use ark_std::UniformRand;
|
||||
#[test]
|
||||
fn check_knowledgeproof() {
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
|
||||
let gens_1 = MultiCommitGens::new(1, b"test-knowledgeproof");
|
||||
|
||||
@@ -638,7 +616,7 @@ use ark_std::{UniformRand};
|
||||
|
||||
#[test]
|
||||
fn check_equalityproof() {
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
|
||||
let gens_1 = MultiCommitGens::new(1, b"test-equalityproof");
|
||||
let v1 = Scalar::rand(&mut rng);
|
||||
@@ -663,14 +641,14 @@ use ark_std::{UniformRand};
|
||||
.verify(&gens_1, &mut verifier_transcript, &C1, &C2)
|
||||
.is_ok());
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn check_productproof() {
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
let pt = GroupElement::rand(&mut rng);
|
||||
let pt_c = pt.compress();
|
||||
let pt2 = GroupElement::decompress(&pt_c).unwrap();
|
||||
assert_eq!(pt, pt2);
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
let pt = GroupElement::rand(&mut rng);
|
||||
let pt_c = pt.compress();
|
||||
let pt2 = GroupElement::decompress(&pt_c).unwrap();
|
||||
assert_eq!(pt, pt2);
|
||||
|
||||
let gens_1 = MultiCommitGens::new(1, b"test-productproof");
|
||||
let x = Scalar::rand(&mut rng);
|
||||
@@ -702,7 +680,7 @@ use ark_std::{UniformRand};
|
||||
|
||||
#[test]
|
||||
fn check_dotproductproof() {
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
|
||||
let n = 1024;
|
||||
|
||||
@@ -741,7 +719,7 @@ use ark_std::{UniformRand};
|
||||
|
||||
#[test]
|
||||
fn check_dotproductproof_log() {
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
|
||||
let n = 1024;
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
#![allow(dead_code)]
|
||||
use super::dense_mlpoly::DensePolynomial;
|
||||
use super::dense_mlpoly::EqPolynomial;
|
||||
use super::math::Math;
|
||||
use super::scalar::Scalar;
|
||||
use super::sumcheck::SumcheckInstanceProof;
|
||||
use super::transcript::ProofTranscript;
|
||||
@@ -37,7 +38,7 @@ impl ProductCircuit {
|
||||
let mut left_vec: Vec<DensePolynomial> = Vec::new();
|
||||
let mut right_vec: Vec<DensePolynomial> = Vec::new();
|
||||
|
||||
let num_layers = poly.len().log2() as usize;
|
||||
let num_layers = poly.len().log_2() as usize;
|
||||
let (outp_left, outp_right) = poly.split(poly.len() / 2);
|
||||
|
||||
left_vec.push(outp_left);
|
||||
@@ -182,7 +183,7 @@ impl ProductCircuitEvalProof {
|
||||
let mut poly_C = DensePolynomial::new(EqPolynomial::new(rand.clone()).evals());
|
||||
assert_eq!(poly_C.len(), len / 2);
|
||||
|
||||
let num_rounds_prod = poly_C.len().log2() as usize;
|
||||
let num_rounds_prod = poly_C.len().log_2() as usize;
|
||||
let comb_func_prod = |poly_A_comp: &Scalar,
|
||||
poly_B_comp: &Scalar,
|
||||
poly_C_comp: &Scalar|
|
||||
@@ -223,7 +224,7 @@ impl ProductCircuitEvalProof {
|
||||
len: usize,
|
||||
transcript: &mut Transcript,
|
||||
) -> (Scalar, Vec<Scalar>) {
|
||||
let num_layers = len.log2() as usize;
|
||||
let num_layers = len.log_2() as usize;
|
||||
let mut claim = eval;
|
||||
let mut rand: Vec<Scalar> = Vec::new();
|
||||
//let mut num_rounds = 0;
|
||||
@@ -279,7 +280,7 @@ impl ProductCircuitEvalProofBatched {
|
||||
let mut poly_C_par = DensePolynomial::new(EqPolynomial::new(rand.clone()).evals());
|
||||
assert_eq!(poly_C_par.len(), len / 2);
|
||||
|
||||
let num_rounds_prod = poly_C_par.len().log2() as usize;
|
||||
let num_rounds_prod = poly_C_par.len().log_2() as usize;
|
||||
let comb_func_prod = |poly_A_comp: &Scalar,
|
||||
poly_B_comp: &Scalar,
|
||||
poly_C_comp: &Scalar|
|
||||
@@ -389,7 +390,7 @@ impl ProductCircuitEvalProofBatched {
|
||||
len: usize,
|
||||
transcript: &mut Transcript,
|
||||
) -> (Vec<Scalar>, Vec<Scalar>, Vec<Scalar>) {
|
||||
let num_layers = len.log2() as usize;
|
||||
let num_layers = len.log_2() as usize;
|
||||
let mut rand: Vec<Scalar> = Vec::new();
|
||||
//let mut num_rounds = 0;
|
||||
assert_eq!(self.proof.len(), num_layers);
|
||||
|
||||
@@ -46,8 +46,8 @@ impl R1CSCommitmentGens {
|
||||
num_nz_entries: usize,
|
||||
) -> R1CSCommitmentGens {
|
||||
assert!(num_inputs < num_vars);
|
||||
let num_poly_vars_x = num_cons.log2() as usize;
|
||||
let num_poly_vars_y = (2 * num_vars).log2() as usize;
|
||||
let num_poly_vars_x = num_cons.log_2() as usize;
|
||||
let num_poly_vars_y = (2 * num_vars).log_2() as usize;
|
||||
let gens =
|
||||
SparseMatPolyCommitmentGens::new(label, num_poly_vars_x, num_poly_vars_y, num_nz_entries, 3);
|
||||
R1CSCommitmentGens { gens }
|
||||
@@ -115,8 +115,8 @@ impl R1CSInstance {
|
||||
assert!(num_inputs < num_vars);
|
||||
|
||||
// no errors, so create polynomials
|
||||
let num_poly_vars_x = num_cons.log2() as usize;
|
||||
let num_poly_vars_y = (2 * num_vars).log2() as usize;
|
||||
let num_poly_vars_x = num_cons.log_2() as usize;
|
||||
let num_poly_vars_y = (2 * num_vars).log_2() as usize;
|
||||
|
||||
let mat_A = (0..A.len())
|
||||
.map(|i| SparseMatEntry::new(A[i].0, A[i].1, A[i].2))
|
||||
@@ -166,8 +166,8 @@ impl R1CSInstance {
|
||||
let mut rng = ark_std::rand::thread_rng();
|
||||
|
||||
// assert num_cons and num_vars are power of 2
|
||||
assert_eq!((num_cons.log2() as usize).pow2(), num_cons);
|
||||
assert_eq!((num_vars.log2() as usize).pow2(), num_vars);
|
||||
assert_eq!((num_cons.log_2() as usize).pow2(), num_cons);
|
||||
assert_eq!((num_vars.log_2() as usize).pow2(), num_vars);
|
||||
|
||||
// num_inputs + 1 <= num_vars
|
||||
assert!(num_inputs < num_vars);
|
||||
@@ -214,8 +214,8 @@ impl R1CSInstance {
|
||||
Timer::print(&format!("number_non-zero_entries_B {}", B.len()));
|
||||
Timer::print(&format!("number_non-zero_entries_C {}", C.len()));
|
||||
|
||||
let num_poly_vars_x = num_cons.log2() as usize;
|
||||
let num_poly_vars_y = (2 * num_vars).log2() as usize;
|
||||
let num_poly_vars_x = num_cons.log_2() as usize;
|
||||
let num_poly_vars_y = (2 * num_vars).log_2() as usize;
|
||||
let poly_A = SparseMatPolynomial::new(num_poly_vars_x, num_poly_vars_y, A);
|
||||
let poly_B = SparseMatPolynomial::new(num_poly_vars_x, num_poly_vars_y, B);
|
||||
let poly_C = SparseMatPolynomial::new(num_poly_vars_x, num_poly_vars_y, C);
|
||||
|
||||
@@ -10,6 +10,7 @@ use super::errors::ProofVerifyError;
|
||||
use super::group::{
|
||||
CompressGroupElement, DecompressGroupElement, GroupElement, VartimeMultiscalarMul,
|
||||
};
|
||||
use super::math::Math;
|
||||
use super::nizk::{EqualityProof, KnowledgeProof, ProductProof};
|
||||
use super::r1csinstance::R1CSInstance;
|
||||
use super::random::RandomTape;
|
||||
@@ -65,7 +66,7 @@ pub struct R1CSGens {
|
||||
|
||||
impl R1CSGens {
|
||||
pub fn new(label: &'static [u8], _num_cons: usize, num_vars: usize) -> Self {
|
||||
let num_poly_vars = num_vars.log2() as usize;
|
||||
let num_poly_vars = num_vars.log_2() as usize;
|
||||
let gens_pc = PolyCommitmentGens::new(num_poly_vars, label);
|
||||
let gens_sc = R1CSSumcheckGens::new(label, &gens_pc.gens.gens_1);
|
||||
R1CSGens { gens_sc, gens_pc }
|
||||
@@ -154,8 +155,10 @@ impl R1CSProof {
|
||||
};
|
||||
|
||||
// derive the verifier's challenge tau
|
||||
let (num_rounds_x, num_rounds_y) =
|
||||
(inst.get_num_cons().log2() as usize, z.len().log2() as usize);
|
||||
let (num_rounds_x, num_rounds_y) = (
|
||||
inst.get_num_cons().log_2() as usize,
|
||||
z.len().log_2() as usize,
|
||||
);
|
||||
let tau = transcript.challenge_vector(b"challenge_tau", num_rounds_x);
|
||||
// compute the initial evaluation table for R(\tau, x)
|
||||
let mut poly_tau = DensePolynomial::new(EqPolynomial::new(tau).evals());
|
||||
@@ -247,7 +250,7 @@ impl R1CSProof {
|
||||
|
||||
let n = num_vars;
|
||||
|
||||
let (num_rounds_x, num_rounds_y) = (num_cons.log2() as usize, (2 * num_vars).log2() as usize);
|
||||
let (num_rounds_x, num_rounds_y) = (num_cons.log_2() as usize, (2 * num_vars).log_2() as usize);
|
||||
|
||||
// derive the verifier's challenge tau
|
||||
let tau = transcript.challenge_vector(b"challenge_tau", num_rounds_x);
|
||||
@@ -278,30 +281,10 @@ impl R1CSProof {
|
||||
let claim_phase2 = r_A * Az_claim + r_B * Bz_claim + r_C * Cz_claim;
|
||||
|
||||
// verify the joint claim with a sum-check protocol
|
||||
<<<<<<< HEAD
|
||||
let (claim_post_phase2, ry) =
|
||||
self
|
||||
.sc_proof_phase2
|
||||
.verify(claim_phase2, num_rounds_y, 2, transcript)?;
|
||||
=======
|
||||
let (comm_claim_post_phase2, ry) = self.sc_proof_phase2.verify(
|
||||
&comm_claim_phase2,
|
||||
num_rounds_y,
|
||||
2,
|
||||
&gens.gens_sc.gens_1,
|
||||
&gens.gens_sc.gens_3,
|
||||
transcript,
|
||||
)?;
|
||||
|
||||
// verify Z(ry) proof against the initial commitment
|
||||
self.proof_eval_vars_at_ry.verify(
|
||||
&gens.gens_pc,
|
||||
transcript,
|
||||
&ry[1..],
|
||||
&self.comm_vars_at_ry,
|
||||
&self.comm_vars,
|
||||
)?;
|
||||
>>>>>>> clippy fixes (#50)
|
||||
|
||||
let poly_input_eval = {
|
||||
// constant term
|
||||
@@ -312,7 +295,7 @@ impl R1CSProof {
|
||||
.map(|i| SparsePolyEntry::new(i + 1, input[i]))
|
||||
.collect::<Vec<SparsePolyEntry>>(),
|
||||
);
|
||||
SparsePolynomial::new(n.log2() as usize, input_as_sparse_poly_entries).evaluate(&ry[1..])
|
||||
SparsePolynomial::new(n.log_2() as usize, input_as_sparse_poly_entries).evaluate(&ry[1..])
|
||||
};
|
||||
|
||||
let eval_Z_at_ry = (Scalar::one() - ry[0]) * self.eval_vars_at_ry + ry[0] * poly_input_eval;
|
||||
|
||||
@@ -92,7 +92,7 @@ impl DerefsEvalProof {
|
||||
) -> PolyEvalProof {
|
||||
assert_eq!(
|
||||
joint_poly.get_num_vars(),
|
||||
r.len() + evals.len().log2() as usize
|
||||
r.len() + evals.len().log_2() as usize
|
||||
);
|
||||
|
||||
// append the claimed evaluations to transcript
|
||||
@@ -101,7 +101,7 @@ impl DerefsEvalProof {
|
||||
// n-to-1 reduction
|
||||
let (r_joint, eval_joint) = {
|
||||
let challenges =
|
||||
transcript.challenge_vector(b"challenge_combine_n_to_one", evals.len().log2() as usize);
|
||||
transcript.challenge_vector(b"challenge_combine_n_to_one", evals.len().log_2() as usize);
|
||||
let mut poly_evals = DensePolynomial::new(evals);
|
||||
for i in (0..challenges.len()).rev() {
|
||||
poly_evals.bound_poly_var_bot(&challenges[i]);
|
||||
@@ -167,7 +167,7 @@ impl DerefsEvalProof {
|
||||
|
||||
// n-to-1 reduction
|
||||
let challenges =
|
||||
transcript.challenge_vector(b"challenge_combine_n_to_one", evals.len().log2() as usize);
|
||||
transcript.challenge_vector(b"challenge_combine_n_to_one", evals.len().log_2() as usize);
|
||||
let mut poly_evals = DensePolynomial::new(evals);
|
||||
for i in (0..challenges.len()).rev() {
|
||||
poly_evals.bound_poly_var_bot(&challenges[i]);
|
||||
@@ -301,15 +301,15 @@ impl SparseMatPolyCommitmentGens {
|
||||
num_nz_entries: usize,
|
||||
batch_size: usize,
|
||||
) -> SparseMatPolyCommitmentGens {
|
||||
let num_vars_ops = num_nz_entries.next_power_of_two().log2() as usize
|
||||
+ (batch_size * 5).next_power_of_two().log2() as usize;
|
||||
let num_vars_ops = num_nz_entries.next_power_of_two().log_2() as usize
|
||||
+ (batch_size * 5).next_power_of_two().log_2() as usize;
|
||||
let num_vars_mem = if num_vars_x > num_vars_y {
|
||||
num_vars_x
|
||||
} else {
|
||||
num_vars_y
|
||||
} + 1;
|
||||
let num_vars_derefs = num_nz_entries.next_power_of_two().log2() as usize
|
||||
+ (batch_size * 2).next_power_of_two().log2() as usize;
|
||||
let num_vars_derefs = num_nz_entries.next_power_of_two().log_2() as usize
|
||||
+ (batch_size * 2).next_power_of_two().log_2() as usize;
|
||||
|
||||
let gens_ops = PolyCommitmentGens::new(num_vars_ops, label);
|
||||
let gens_mem = PolyCommitmentGens::new(num_vars_mem, label);
|
||||
@@ -781,7 +781,7 @@ impl HashLayerProof {
|
||||
evals_ops.append_to_transcript(b"claim_evals_ops", transcript);
|
||||
let challenges_ops = transcript.challenge_vector(
|
||||
b"challenge_combine_n_to_one",
|
||||
evals_ops.len().log2() as usize,
|
||||
evals_ops.len().log_2() as usize,
|
||||
);
|
||||
|
||||
let mut poly_evals_ops = DensePolynomial::new(evals_ops);
|
||||
@@ -810,7 +810,7 @@ impl HashLayerProof {
|
||||
evals_mem.append_to_transcript(b"claim_evals_mem", transcript);
|
||||
let challenges_mem = transcript.challenge_vector(
|
||||
b"challenge_combine_two_to_one",
|
||||
evals_mem.len().log2() as usize,
|
||||
evals_mem.len().log_2() as usize,
|
||||
);
|
||||
|
||||
let mut poly_evals_mem = DensePolynomial::new(evals_mem);
|
||||
@@ -955,7 +955,7 @@ impl HashLayerProof {
|
||||
evals_ops.append_to_transcript(b"claim_evals_ops", transcript);
|
||||
let challenges_ops = transcript.challenge_vector(
|
||||
b"challenge_combine_n_to_one",
|
||||
evals_ops.len().log2() as usize,
|
||||
evals_ops.len().log_2() as usize,
|
||||
);
|
||||
|
||||
let mut poly_evals_ops = DensePolynomial::new(evals_ops);
|
||||
@@ -981,7 +981,7 @@ impl HashLayerProof {
|
||||
evals_mem.append_to_transcript(b"claim_evals_mem", transcript);
|
||||
let challenges_mem = transcript.challenge_vector(
|
||||
b"challenge_combine_two_to_one",
|
||||
evals_mem.len().log2() as usize,
|
||||
evals_mem.len().log_2() as usize,
|
||||
);
|
||||
|
||||
let mut poly_evals_mem = DensePolynomial::new(evals_mem);
|
||||
@@ -1632,8 +1632,8 @@ use rand::RngCore;
|
||||
let num_nz_entries: usize = 256;
|
||||
let num_rows: usize = 256;
|
||||
let num_cols: usize = 256;
|
||||
let num_vars_x: usize = num_rows.log2() as usize;
|
||||
let num_vars_y: usize = num_cols.log2() as usize;
|
||||
let num_vars_x: usize = num_rows.log_2() as usize;
|
||||
let num_vars_y: usize = num_cols.log_2() as usize;
|
||||
|
||||
let mut M: Vec<SparseMatEntry> = Vec::new();
|
||||
|
||||
|
||||
Reference in New Issue
Block a user