mirror of
https://github.com/saymrwulf/pasta_curves-source.git
synced 2026-09-08 20:40:31 +00:00
Extract permutation argument into a submodule
This commit is contained in:
parent
3bcfe7825f
commit
4a3b830165
6 changed files with 619 additions and 389 deletions
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@ -12,6 +12,7 @@ use crate::poly::{
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mod circuit;
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mod circuit;
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mod keygen;
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mod keygen;
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mod permutation;
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mod prover;
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mod prover;
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mod verifier;
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mod verifier;
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@ -50,10 +51,7 @@ pub struct ProvingKey<C: CurveAffine> {
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pub struct Proof<C: CurveAffine> {
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pub struct Proof<C: CurveAffine> {
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advice_commitments: Vec<C>,
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advice_commitments: Vec<C>,
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h_commitments: Vec<C>,
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h_commitments: Vec<C>,
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permutation_product_commitments: Vec<C>,
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permutations: Option<permutation::Proof<C>>,
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permutation_product_evals: Vec<C::Scalar>,
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permutation_product_inv_evals: Vec<C::Scalar>,
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permutation_evals: Vec<Vec<C::Scalar>>,
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advice_evals: Vec<C::Scalar>,
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advice_evals: Vec<C::Scalar>,
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aux_evals: Vec<C::Scalar>,
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aux_evals: Vec<C::Scalar>,
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fixed_evals: Vec<C::Scalar>,
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fixed_evals: Vec<C::Scalar>,
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14
src/plonk/permutation.rs
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14
src/plonk/permutation.rs
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@ -0,0 +1,14 @@
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//! Implementation of a PLONK permutation argument.
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use crate::arithmetic::CurveAffine;
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mod prover;
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mod verifier;
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#[derive(Debug, Clone)]
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pub(crate) struct Proof<C: CurveAffine> {
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permutation_product_commitments: Vec<C>,
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permutation_product_evals: Vec<C::Scalar>,
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permutation_product_inv_evals: Vec<C::Scalar>,
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permutation_evals: Vec<Vec<C::Scalar>>,
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}
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371
src/plonk/permutation/prover.rs
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371
src/plonk/permutation/prover.rs
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@ -0,0 +1,371 @@
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use ff::Field;
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use std::iter;
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use super::Proof;
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use crate::{
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arithmetic::{eval_polynomial, parallelize, BatchInvert, Curve, CurveAffine, FieldExt},
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plonk::{Error, ProvingKey},
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poly::{
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commitment::{Blind, Params},
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multiopen::ProverQuery,
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Coeff, ExtendedLagrangeCoeff, LagrangeCoeff, Polynomial, Rotation,
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},
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transcript::{Hasher, Transcript},
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};
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#[derive(Clone)]
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pub(crate) struct Committed<C: CurveAffine> {
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permutation_product_polys: Vec<Polynomial<C::Scalar, Coeff>>,
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permutation_product_cosets: Vec<Polynomial<C::Scalar, ExtendedLagrangeCoeff>>,
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permutation_product_cosets_inv: Vec<Polynomial<C::Scalar, ExtendedLagrangeCoeff>>,
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permutation_product_blinds: Vec<Blind<C::Scalar>>,
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permutation_product_commitments: Vec<C>,
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}
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pub(crate) struct Constructed<C: CurveAffine> {
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permutation_product_polys: Vec<Polynomial<C::Scalar, Coeff>>,
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permutation_product_blinds: Vec<Blind<C::Scalar>>,
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permutation_product_commitments: Vec<C>,
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}
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pub(crate) struct Evaluated<C: CurveAffine> {
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constructed: Constructed<C>,
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permutation_product_evals: Vec<C::Scalar>,
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permutation_product_inv_evals: Vec<C::Scalar>,
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permutation_evals: Vec<Vec<C::Scalar>>,
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}
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impl<C: CurveAffine> Proof<C> {
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pub(crate) fn commit<HBase: Hasher<C::Base>, HScalar: Hasher<C::Scalar>>(
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params: &Params<C>,
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pk: &ProvingKey<C>,
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advice: &[Polynomial<C::Scalar, LagrangeCoeff>],
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x_0: C::Scalar,
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x_1: C::Scalar,
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transcript: &mut Transcript<C, HBase, HScalar>,
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) -> Result<Committed<C>, Error> {
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let domain = &pk.vk.domain;
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// Compute permutation product polynomial commitment
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let mut permutation_product_polys = vec![];
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let mut permutation_product_cosets = vec![];
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let mut permutation_product_cosets_inv = vec![];
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let mut permutation_product_commitments_projective = vec![];
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let mut permutation_product_blinds = vec![];
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// Iterate over each permutation
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let mut permutation_modified_advice = pk
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.vk
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.cs
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.permutations
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.iter()
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.zip(pk.permutations.iter())
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// Goal is to compute the products of fractions
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//
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// (p_j(\omega^i) + \delta^j \omega^i \beta + \gamma) /
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// (p_j(\omega^i) + \beta s_j(\omega^i) + \gamma)
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//
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// where p_j(X) is the jth advice column in this permutation,
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// and i is the ith row of the column.
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.map(|(columns, permuted_values)| {
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let mut modified_advice = vec![C::Scalar::one(); params.n as usize];
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// Iterate over each column of the permutation
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for (&column, permuted_column_values) in columns.iter().zip(permuted_values.iter())
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{
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parallelize(&mut modified_advice, |modified_advice, start| {
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for ((modified_advice, advice_value), permuted_advice_value) in
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modified_advice
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.iter_mut()
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.zip(advice[column.index()][start..].iter())
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.zip(permuted_column_values[start..].iter())
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{
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*modified_advice *=
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&(x_0 * permuted_advice_value + &x_1 + advice_value);
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}
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});
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}
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modified_advice
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})
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.collect::<Vec<_>>();
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// Batch invert to obtain the denominators for the permutation product
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// polynomials
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permutation_modified_advice
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.iter_mut()
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.flat_map(|v| v.iter_mut())
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.batch_invert();
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for (columns, mut modified_advice) in pk
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.vk
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.cs
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.permutations
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.iter()
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.zip(permutation_modified_advice.into_iter())
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{
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// Iterate over each column again, this time finishing the computation
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// of the entire fraction by computing the numerators
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let mut deltaomega = C::Scalar::one();
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for &column in columns.iter() {
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let omega = domain.get_omega();
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parallelize(&mut modified_advice, |modified_advice, start| {
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let mut deltaomega = deltaomega * &omega.pow_vartime(&[start as u64, 0, 0, 0]);
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for (modified_advice, advice_value) in modified_advice
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.iter_mut()
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.zip(advice[column.index()][start..].iter())
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{
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// Multiply by p_j(\omega^i) + \delta^j \omega^i \beta
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*modified_advice *= &(deltaomega * &x_0 + &x_1 + advice_value);
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deltaomega *= ω
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}
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});
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deltaomega *= &C::Scalar::DELTA;
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}
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// The modified_advice vector is a vector of products of fractions
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// of the form
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//
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// (p_j(\omega^i) + \delta^j \omega^i \beta + \gamma) /
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// (p_j(\omega^i) + \beta s_j(\omega^i) + \gamma)
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//
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// where i is the index into modified_advice, for the jth column in
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// the permutation
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// Compute the evaluations of the permutation product polynomial
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// over our domain, starting with z[0] = 1
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let mut z = vec![C::Scalar::one()];
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for row in 1..(params.n as usize) {
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let mut tmp = z[row - 1];
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tmp *= &modified_advice[row];
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z.push(tmp);
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}
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let z = domain.lagrange_from_vec(z);
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let blind = Blind(C::Scalar::rand());
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permutation_product_commitments_projective.push(params.commit_lagrange(&z, blind));
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permutation_product_blinds.push(blind);
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let z = domain.lagrange_to_coeff(z);
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permutation_product_polys.push(z.clone());
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permutation_product_cosets
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.push(domain.coeff_to_extended(z.clone(), Rotation::default()));
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permutation_product_cosets_inv.push(domain.coeff_to_extended(z, Rotation(-1)));
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}
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let mut permutation_product_commitments =
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vec![C::zero(); permutation_product_commitments_projective.len()];
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C::Projective::batch_to_affine(
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&permutation_product_commitments_projective,
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&mut permutation_product_commitments,
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);
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let permutation_product_commitments = permutation_product_commitments;
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drop(permutation_product_commitments_projective);
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// Hash each permutation product commitment
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for c in &permutation_product_commitments {
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transcript
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.absorb_point(c)
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.map_err(|_| Error::TranscriptError)?;
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}
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Ok(Committed {
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permutation_product_polys,
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permutation_product_cosets,
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permutation_product_cosets_inv,
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permutation_product_blinds,
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permutation_product_commitments,
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})
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}
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}
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impl<C: CurveAffine> Committed<C> {
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pub(crate) fn construct<'a>(
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self,
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pk: &'a ProvingKey<C>,
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advice_cosets: &'a [Polynomial<C::Scalar, ExtendedLagrangeCoeff>],
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x_0: C::Scalar,
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x_1: C::Scalar,
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) -> Result<
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(
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Constructed<C>,
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impl Iterator<Item = Polynomial<C::Scalar, ExtendedLagrangeCoeff>> + 'a,
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),
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Error,
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> {
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let domain = &pk.vk.domain;
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let permutation_product_cosets_owned = self.permutation_product_cosets.clone();
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let permutation_product_cosets = self.permutation_product_cosets;
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let permutation_product_cosets_inv = self.permutation_product_cosets_inv;
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let expressions = iter::empty()
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// l_0(X) * (1 - z(X)) = 0
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.chain(
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permutation_product_cosets_owned
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.into_iter()
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.map(move |coset| Polynomial::one_minus(coset) * &pk.l0),
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)
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// z(X) \prod (p(X) + \beta s_i(X) + \gamma) - z(omega^{-1} X) \prod (p(X) + \delta^i \beta X + \gamma)
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.chain(pk.vk.cs.permutations.iter().enumerate().map(
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move |(permutation_index, columns)| {
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let mut left = permutation_product_cosets[permutation_index].clone();
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for (advice, permutation) in columns
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.iter()
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.map(|&column| &advice_cosets[pk.vk.cs.get_advice_query_index(column, 0)])
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.zip(pk.permutation_cosets[permutation_index].iter())
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{
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parallelize(&mut left, |left, start| {
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for ((left, advice), permutation) in left
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.iter_mut()
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.zip(advice[start..].iter())
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.zip(permutation[start..].iter())
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{
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*left *= &(*advice + &(x_0 * permutation) + &x_1);
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}
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});
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}
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let mut right = permutation_product_cosets_inv[permutation_index].clone();
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let mut current_delta = x_0 * &C::Scalar::ZETA;
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let step = domain.get_extended_omega();
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for advice in columns
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.iter()
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.map(|&column| &advice_cosets[pk.vk.cs.get_advice_query_index(column, 0)])
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{
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parallelize(&mut right, move |right, start| {
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let mut beta_term =
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current_delta * &step.pow_vartime(&[start as u64, 0, 0, 0]);
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for (right, advice) in right.iter_mut().zip(advice[start..].iter()) {
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*right *= &(*advice + &beta_term + &x_1);
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beta_term *= &step;
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}
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});
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current_delta *= &C::Scalar::DELTA;
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}
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left - &right
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},
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));
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Ok((
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Constructed {
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permutation_product_polys: self.permutation_product_polys,
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permutation_product_blinds: self.permutation_product_blinds,
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permutation_product_commitments: self.permutation_product_commitments,
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},
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expressions,
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))
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}
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}
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impl<C: CurveAffine> Constructed<C> {
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pub(crate) fn evaluate<HBase: Hasher<C::Base>, HScalar: Hasher<C::Scalar>>(
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self,
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pk: &ProvingKey<C>,
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x_3: C::Scalar,
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transcript: &mut Transcript<C, HBase, HScalar>,
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) -> Evaluated<C> {
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let domain = &pk.vk.domain;
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let permutation_product_evals: Vec<C::Scalar> = self
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.permutation_product_polys
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.iter()
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.map(|poly| eval_polynomial(poly, x_3))
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.collect();
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let permutation_product_inv_evals: Vec<C::Scalar> = self
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.permutation_product_polys
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.iter()
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.map(|poly| eval_polynomial(poly, domain.rotate_omega(x_3, Rotation(-1))))
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.collect();
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let permutation_evals: Vec<Vec<C::Scalar>> = pk
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.permutation_polys
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.iter()
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.map(|polys| {
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polys
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.iter()
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.map(|poly| eval_polynomial(poly, x_3))
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.collect()
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})
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.collect();
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// Hash each advice evaluation
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for eval in permutation_product_evals
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.iter()
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.chain(permutation_product_inv_evals.iter())
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.chain(permutation_evals.iter().flat_map(|evals| evals.iter()))
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{
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transcript.absorb_scalar(*eval);
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}
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Evaluated {
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constructed: self,
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permutation_product_evals,
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permutation_product_inv_evals,
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permutation_evals,
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}
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}
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}
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impl<C: CurveAffine> Evaluated<C> {
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pub fn open<'a>(
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&'a self,
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pk: &'a ProvingKey<C>,
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x_3: C::Scalar,
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) -> impl Iterator<Item = ProverQuery<'a, C>> + Clone {
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let x_3_inv = pk.vk.domain.rotate_omega(x_3, Rotation(-1));
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iter::empty()
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// Open permutation product commitments at x_3
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||||||
|
.chain(
|
||||||
|
self.constructed
|
||||||
|
.permutation_product_polys
|
||||||
|
.iter()
|
||||||
|
.zip(self.constructed.permutation_product_blinds.iter())
|
||||||
|
.zip(self.permutation_product_evals.iter())
|
||||||
|
.map(move |((poly, blind), eval)| ProverQuery {
|
||||||
|
point: x_3,
|
||||||
|
poly,
|
||||||
|
blind: *blind,
|
||||||
|
eval: *eval,
|
||||||
|
}),
|
||||||
|
)
|
||||||
|
// Open permutation polynomial commitments at x_3
|
||||||
|
.chain(
|
||||||
|
pk.permutation_polys
|
||||||
|
.iter()
|
||||||
|
.zip(self.permutation_evals.iter())
|
||||||
|
.flat_map(|(polys, evals)| polys.iter().zip(evals.iter()))
|
||||||
|
.map(move |(poly, eval)| ProverQuery {
|
||||||
|
point: x_3,
|
||||||
|
poly,
|
||||||
|
blind: Blind::default(),
|
||||||
|
eval: *eval,
|
||||||
|
}),
|
||||||
|
)
|
||||||
|
// Open permutation product commitments at \omega^{-1} x_3
|
||||||
|
.chain(
|
||||||
|
self.constructed
|
||||||
|
.permutation_product_polys
|
||||||
|
.iter()
|
||||||
|
.zip(self.constructed.permutation_product_blinds.iter())
|
||||||
|
.zip(self.permutation_product_inv_evals.iter())
|
||||||
|
.map(move |((poly, blind), eval)| ProverQuery {
|
||||||
|
point: x_3_inv,
|
||||||
|
poly,
|
||||||
|
blind: *blind,
|
||||||
|
eval: *eval,
|
||||||
|
}),
|
||||||
|
)
|
||||||
|
}
|
||||||
|
|
||||||
|
pub(crate) fn build(self) -> Proof<C> {
|
||||||
|
Proof {
|
||||||
|
permutation_product_commitments: self.constructed.permutation_product_commitments,
|
||||||
|
permutation_product_evals: self.permutation_product_evals,
|
||||||
|
permutation_product_inv_evals: self.permutation_product_inv_evals,
|
||||||
|
permutation_evals: self.permutation_evals,
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
159
src/plonk/permutation/verifier.rs
Normal file
159
src/plonk/permutation/verifier.rs
Normal file
|
|
@ -0,0 +1,159 @@
|
||||||
|
use ff::Field;
|
||||||
|
use std::iter;
|
||||||
|
|
||||||
|
use super::Proof;
|
||||||
|
use crate::{
|
||||||
|
arithmetic::{CurveAffine, FieldExt},
|
||||||
|
plonk::{Error, VerifyingKey},
|
||||||
|
poly::{multiopen::VerifierQuery, Rotation},
|
||||||
|
transcript::{Hasher, Transcript},
|
||||||
|
};
|
||||||
|
|
||||||
|
impl<C: CurveAffine> Proof<C> {
|
||||||
|
pub(crate) fn check_lengths(&self, vk: &VerifyingKey<C>) -> Result<(), Error> {
|
||||||
|
if self.permutation_evals.len() != vk.cs.permutations.len() {
|
||||||
|
return Err(Error::IncompatibleParams);
|
||||||
|
}
|
||||||
|
|
||||||
|
for (permutation_evals, permutation) in
|
||||||
|
self.permutation_evals.iter().zip(vk.cs.permutations.iter())
|
||||||
|
{
|
||||||
|
if permutation_evals.len() != permutation.len() {
|
||||||
|
return Err(Error::IncompatibleParams);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
if self.permutation_product_inv_evals.len() != vk.cs.permutations.len() {
|
||||||
|
return Err(Error::IncompatibleParams);
|
||||||
|
}
|
||||||
|
|
||||||
|
if self.permutation_product_evals.len() != vk.cs.permutations.len() {
|
||||||
|
return Err(Error::IncompatibleParams);
|
||||||
|
}
|
||||||
|
|
||||||
|
if self.permutation_product_commitments.len() != vk.cs.permutations.len() {
|
||||||
|
return Err(Error::IncompatibleParams);
|
||||||
|
}
|
||||||
|
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
|
||||||
|
pub(crate) fn absorb_commitments<HBase: Hasher<C::Base>, HScalar: Hasher<C::Scalar>>(
|
||||||
|
&self,
|
||||||
|
transcript: &mut Transcript<C, HBase, HScalar>,
|
||||||
|
) -> Result<(), Error> {
|
||||||
|
for c in &self.permutation_product_commitments {
|
||||||
|
transcript
|
||||||
|
.absorb_point(c)
|
||||||
|
.map_err(|_| Error::TranscriptError)?;
|
||||||
|
}
|
||||||
|
Ok(())
|
||||||
|
}
|
||||||
|
|
||||||
|
pub(crate) fn expressions<'a>(
|
||||||
|
&'a self,
|
||||||
|
vk: &'a VerifyingKey<C>,
|
||||||
|
advice_evals: &'a [C::Scalar],
|
||||||
|
l_0: C::Scalar,
|
||||||
|
x_0: C::Scalar,
|
||||||
|
x_1: C::Scalar,
|
||||||
|
x_3: C::Scalar,
|
||||||
|
) -> impl Iterator<Item = C::Scalar> + 'a {
|
||||||
|
iter::empty()
|
||||||
|
// l_0(X) * (1 - z(X)) = 0
|
||||||
|
.chain(
|
||||||
|
self.permutation_product_evals
|
||||||
|
.iter()
|
||||||
|
.map(move |product_eval| l_0 * &(C::Scalar::one() - product_eval)),
|
||||||
|
)
|
||||||
|
// z(X) \prod (p(X) + \beta s_i(X) + \gamma)
|
||||||
|
// - z(omega^{-1} X) \prod (p(X) + \delta^i \beta X + \gamma)
|
||||||
|
.chain(
|
||||||
|
vk.cs
|
||||||
|
.permutations
|
||||||
|
.iter()
|
||||||
|
.zip(self.permutation_evals.iter())
|
||||||
|
.zip(self.permutation_product_evals.iter())
|
||||||
|
.zip(self.permutation_product_inv_evals.iter())
|
||||||
|
.map(
|
||||||
|
move |(((columns, permutation_evals), product_eval), product_inv_eval)| {
|
||||||
|
let mut left = *product_eval;
|
||||||
|
for (advice_eval, permutation_eval) in columns
|
||||||
|
.iter()
|
||||||
|
.map(|&column| {
|
||||||
|
advice_evals[vk.cs.get_advice_query_index(column, 0)]
|
||||||
|
})
|
||||||
|
.zip(permutation_evals.iter())
|
||||||
|
{
|
||||||
|
left *= &(advice_eval + &(x_0 * permutation_eval) + &x_1);
|
||||||
|
}
|
||||||
|
|
||||||
|
let mut right = *product_inv_eval;
|
||||||
|
let mut current_delta = x_0 * &x_3;
|
||||||
|
for advice_eval in columns.iter().map(|&column| {
|
||||||
|
advice_evals[vk.cs.get_advice_query_index(column, 0)]
|
||||||
|
}) {
|
||||||
|
right *= &(advice_eval + ¤t_delta + &x_1);
|
||||||
|
current_delta *= &C::Scalar::DELTA;
|
||||||
|
}
|
||||||
|
|
||||||
|
left - &right
|
||||||
|
},
|
||||||
|
),
|
||||||
|
)
|
||||||
|
}
|
||||||
|
|
||||||
|
pub(crate) fn evals(&self) -> impl Iterator<Item = &C::Scalar> {
|
||||||
|
self.permutation_product_evals
|
||||||
|
.iter()
|
||||||
|
.chain(self.permutation_product_inv_evals.iter())
|
||||||
|
.chain(self.permutation_evals.iter().flat_map(|evals| evals.iter()))
|
||||||
|
}
|
||||||
|
|
||||||
|
pub(crate) fn queries<'a>(
|
||||||
|
&'a self,
|
||||||
|
vk: &'a VerifyingKey<C>,
|
||||||
|
x_3: C::Scalar,
|
||||||
|
) -> impl Iterator<Item = VerifierQuery<'a, C>> + Clone {
|
||||||
|
let x_3_inv = vk.domain.rotate_omega(x_3, Rotation(-1));
|
||||||
|
|
||||||
|
iter::empty()
|
||||||
|
// Open permutation product commitments at x_3
|
||||||
|
.chain(
|
||||||
|
self.permutation_product_commitments
|
||||||
|
.iter()
|
||||||
|
.enumerate()
|
||||||
|
.zip(self.permutation_product_evals.iter())
|
||||||
|
.map(move |((idx, _), &eval)| VerifierQuery {
|
||||||
|
point: x_3,
|
||||||
|
commitment: &self.permutation_product_commitments[idx],
|
||||||
|
eval,
|
||||||
|
}),
|
||||||
|
)
|
||||||
|
// Open permutation commitments for each permutation argument at x_3
|
||||||
|
.chain(
|
||||||
|
(0..vk.permutation_commitments.len())
|
||||||
|
.map(move |outer_idx| {
|
||||||
|
let inner_len = vk.permutation_commitments[outer_idx].len();
|
||||||
|
(0..inner_len).map(move |inner_idx| VerifierQuery {
|
||||||
|
point: x_3,
|
||||||
|
commitment: &vk.permutation_commitments[outer_idx][inner_idx],
|
||||||
|
eval: self.permutation_evals[outer_idx][inner_idx],
|
||||||
|
})
|
||||||
|
})
|
||||||
|
.flatten(),
|
||||||
|
)
|
||||||
|
// Open permutation product commitments at \omega^{-1} x_3
|
||||||
|
.chain(
|
||||||
|
self.permutation_product_commitments
|
||||||
|
.iter()
|
||||||
|
.enumerate()
|
||||||
|
.zip(self.permutation_product_inv_evals.iter())
|
||||||
|
.map(move |((idx, _), &eval)| VerifierQuery {
|
||||||
|
point: x_3_inv,
|
||||||
|
commitment: &self.permutation_product_commitments[idx],
|
||||||
|
eval,
|
||||||
|
}),
|
||||||
|
)
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
@ -3,16 +3,15 @@ use std::iter;
|
||||||
|
|
||||||
use super::{
|
use super::{
|
||||||
circuit::{Advice, Assignment, Circuit, Column, ConstraintSystem, Fixed},
|
circuit::{Advice, Assignment, Circuit, Column, ConstraintSystem, Fixed},
|
||||||
Error, Proof, ProvingKey,
|
permutation, Error, Proof, ProvingKey,
|
||||||
};
|
};
|
||||||
use crate::arithmetic::{
|
use crate::arithmetic::{
|
||||||
eval_polynomial, get_challenge_scalar, parallelize, BatchInvert, Challenge, Curve, CurveAffine,
|
eval_polynomial, get_challenge_scalar, Challenge, Curve, CurveAffine, FieldExt,
|
||||||
FieldExt,
|
|
||||||
};
|
};
|
||||||
use crate::poly::{
|
use crate::poly::{
|
||||||
commitment::{Blind, Params},
|
commitment::{Blind, Params},
|
||||||
multiopen::{self, ProverQuery},
|
multiopen::{self, ProverQuery},
|
||||||
LagrangeCoeff, Polynomial, Rotation,
|
LagrangeCoeff, Polynomial,
|
||||||
};
|
};
|
||||||
use crate::transcript::{Hasher, Transcript};
|
use crate::transcript::{Hasher, Transcript};
|
||||||
|
|
||||||
|
|
@ -177,197 +176,46 @@ impl<C: CurveAffine> Proof<C> {
|
||||||
// Sample x_1 challenge
|
// Sample x_1 challenge
|
||||||
let x_1: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
let x_1: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
||||||
|
|
||||||
// Compute permutation product polynomial commitment
|
// Commit to permutations, if any.
|
||||||
let mut permutation_product_polys = vec![];
|
let permutations = if !pk.vk.cs.permutations.is_empty() {
|
||||||
let mut permutation_product_cosets = vec![];
|
Some(permutation::Proof::commit(
|
||||||
let mut permutation_product_cosets_inv = vec![];
|
params,
|
||||||
let mut permutation_product_commitments_projective = vec![];
|
pk,
|
||||||
let mut permutation_product_blinds = vec![];
|
&witness.advice,
|
||||||
|
x_0,
|
||||||
// Iterate over each permutation
|
x_1,
|
||||||
let mut permutation_modified_advice = pk
|
&mut transcript,
|
||||||
.vk
|
)?)
|
||||||
.cs
|
} else {
|
||||||
.permutations
|
None
|
||||||
.iter()
|
};
|
||||||
.zip(pk.permutations.iter())
|
|
||||||
// Goal is to compute the products of fractions
|
|
||||||
//
|
|
||||||
// (p_j(\omega^i) + \delta^j \omega^i \beta + \gamma) /
|
|
||||||
// (p_j(\omega^i) + \beta s_j(\omega^i) + \gamma)
|
|
||||||
//
|
|
||||||
// where p_j(X) is the jth advice column in this permutation,
|
|
||||||
// and i is the ith row of the column.
|
|
||||||
.map(|(columns, permuted_values)| {
|
|
||||||
let mut modified_advice = vec![C::Scalar::one(); params.n as usize];
|
|
||||||
|
|
||||||
// Iterate over each column of the permutation
|
|
||||||
for (&column, permuted_column_values) in columns.iter().zip(permuted_values.iter())
|
|
||||||
{
|
|
||||||
parallelize(&mut modified_advice, |modified_advice, start| {
|
|
||||||
for ((modified_advice, advice_value), permuted_advice_value) in
|
|
||||||
modified_advice
|
|
||||||
.iter_mut()
|
|
||||||
.zip(witness.advice[column.index()][start..].iter())
|
|
||||||
.zip(permuted_column_values[start..].iter())
|
|
||||||
{
|
|
||||||
*modified_advice *=
|
|
||||||
&(x_0 * permuted_advice_value + &x_1 + advice_value);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
modified_advice
|
|
||||||
})
|
|
||||||
.collect::<Vec<_>>();
|
|
||||||
|
|
||||||
// Batch invert to obtain the denominators for the permutation product
|
|
||||||
// polynomials
|
|
||||||
permutation_modified_advice
|
|
||||||
.iter_mut()
|
|
||||||
.flat_map(|v| v.iter_mut())
|
|
||||||
.batch_invert();
|
|
||||||
|
|
||||||
for (columns, mut modified_advice) in pk
|
|
||||||
.vk
|
|
||||||
.cs
|
|
||||||
.permutations
|
|
||||||
.iter()
|
|
||||||
.zip(permutation_modified_advice.into_iter())
|
|
||||||
{
|
|
||||||
// Iterate over each column again, this time finishing the computation
|
|
||||||
// of the entire fraction by computing the numerators
|
|
||||||
let mut deltaomega = C::Scalar::one();
|
|
||||||
for &column in columns.iter() {
|
|
||||||
let omega = domain.get_omega();
|
|
||||||
parallelize(&mut modified_advice, |modified_advice, start| {
|
|
||||||
let mut deltaomega = deltaomega * &omega.pow_vartime(&[start as u64, 0, 0, 0]);
|
|
||||||
for (modified_advice, advice_value) in modified_advice
|
|
||||||
.iter_mut()
|
|
||||||
.zip(witness.advice[column.index()][start..].iter())
|
|
||||||
{
|
|
||||||
// Multiply by p_j(\omega^i) + \delta^j \omega^i \beta
|
|
||||||
*modified_advice *= &(deltaomega * &x_0 + &x_1 + advice_value);
|
|
||||||
deltaomega *= ω
|
|
||||||
}
|
|
||||||
});
|
|
||||||
deltaomega *= &C::Scalar::DELTA;
|
|
||||||
}
|
|
||||||
|
|
||||||
// The modified_advice vector is a vector of products of fractions
|
|
||||||
// of the form
|
|
||||||
//
|
|
||||||
// (p_j(\omega^i) + \delta^j \omega^i \beta + \gamma) /
|
|
||||||
// (p_j(\omega^i) + \beta s_j(\omega^i) + \gamma)
|
|
||||||
//
|
|
||||||
// where i is the index into modified_advice, for the jth column in
|
|
||||||
// the permutation
|
|
||||||
|
|
||||||
// Compute the evaluations of the permutation product polynomial
|
|
||||||
// over our domain, starting with z[0] = 1
|
|
||||||
let mut z = vec![C::Scalar::one()];
|
|
||||||
for row in 1..(params.n as usize) {
|
|
||||||
let mut tmp = z[row - 1];
|
|
||||||
|
|
||||||
tmp *= &modified_advice[row];
|
|
||||||
z.push(tmp);
|
|
||||||
}
|
|
||||||
let z = domain.lagrange_from_vec(z);
|
|
||||||
|
|
||||||
let blind = Blind(C::Scalar::rand());
|
|
||||||
|
|
||||||
permutation_product_commitments_projective.push(params.commit_lagrange(&z, blind));
|
|
||||||
permutation_product_blinds.push(blind);
|
|
||||||
let z = domain.lagrange_to_coeff(z);
|
|
||||||
permutation_product_polys.push(z.clone());
|
|
||||||
permutation_product_cosets
|
|
||||||
.push(domain.coeff_to_extended(z.clone(), Rotation::default()));
|
|
||||||
permutation_product_cosets_inv.push(domain.coeff_to_extended(z, Rotation(-1)));
|
|
||||||
}
|
|
||||||
let mut permutation_product_commitments =
|
|
||||||
vec![C::zero(); permutation_product_commitments_projective.len()];
|
|
||||||
C::Projective::batch_to_affine(
|
|
||||||
&permutation_product_commitments_projective,
|
|
||||||
&mut permutation_product_commitments,
|
|
||||||
);
|
|
||||||
let permutation_product_commitments = permutation_product_commitments;
|
|
||||||
drop(permutation_product_commitments_projective);
|
|
||||||
|
|
||||||
// Hash each permutation product commitment
|
|
||||||
for c in &permutation_product_commitments {
|
|
||||||
transcript
|
|
||||||
.absorb_point(c)
|
|
||||||
.map_err(|_| Error::TranscriptError)?;
|
|
||||||
}
|
|
||||||
|
|
||||||
// Obtain challenge for keeping all separate gates linearly independent
|
// Obtain challenge for keeping all separate gates linearly independent
|
||||||
let x_2: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
let x_2: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
||||||
|
|
||||||
|
// Evaluate the h(X) polynomial's constraint system expressions for the permutation constraints, if any.
|
||||||
|
let (permutations, permutation_expressions) = permutations
|
||||||
|
.map(|p| p.construct(pk, &advice_cosets, x_0, x_1))
|
||||||
|
.transpose()?
|
||||||
|
.map(|(p, expressions)| (Some(p), Some(expressions)))
|
||||||
|
.unwrap_or_default();
|
||||||
|
|
||||||
// Evaluate the h(X) polynomial's constraint system expressions for the constraints provided
|
// Evaluate the h(X) polynomial's constraint system expressions for the constraints provided
|
||||||
let h_poly =
|
let h_poly = iter::empty()
|
||||||
iter::empty()
|
// Custom constraints
|
||||||
// Custom constraints
|
.chain(meta.gates.iter().map(|poly| {
|
||||||
.chain(meta.gates.iter().map(|poly| {
|
poly.evaluate(
|
||||||
poly.evaluate(
|
&|index| pk.fixed_cosets[index].clone(),
|
||||||
&|index| pk.fixed_cosets[index].clone(),
|
&|index| advice_cosets[index].clone(),
|
||||||
&|index| advice_cosets[index].clone(),
|
&|index| aux_cosets[index].clone(),
|
||||||
&|index| aux_cosets[index].clone(),
|
&|a, b| a + &b,
|
||||||
&|a, b| a + &b,
|
&|a, b| a * &b,
|
||||||
&|a, b| a * &b,
|
&|a, scalar| a * scalar,
|
||||||
&|a, scalar| a * scalar,
|
|
||||||
)
|
|
||||||
}))
|
|
||||||
// l_0(X) * (1 - z(X)) = 0
|
|
||||||
.chain(
|
|
||||||
permutation_product_cosets
|
|
||||||
.iter()
|
|
||||||
.cloned()
|
|
||||||
.map(|coset| Polynomial::one_minus(coset) * &pk.l0),
|
|
||||||
)
|
)
|
||||||
// z(X) \prod (p(X) + \beta s_i(X) + \gamma) - z(omega^{-1} X) \prod (p(X) + \delta^i \beta X + \gamma)
|
}))
|
||||||
.chain(pk.vk.cs.permutations.iter().enumerate().map(
|
// Permutation constraints, if any.
|
||||||
|(permutation_index, columns)| {
|
.chain(permutation_expressions.into_iter().flatten())
|
||||||
let mut left = permutation_product_cosets[permutation_index].clone();
|
.fold(domain.empty_extended(), |h_poly, v| h_poly * x_2 + &v);
|
||||||
for (advice, permutation) in columns
|
|
||||||
.iter()
|
|
||||||
.map(|&column| {
|
|
||||||
&advice_cosets[pk.vk.cs.get_advice_query_index(column, 0)]
|
|
||||||
})
|
|
||||||
.zip(pk.permutation_cosets[permutation_index].iter())
|
|
||||||
{
|
|
||||||
parallelize(&mut left, |left, start| {
|
|
||||||
for ((left, advice), permutation) in left
|
|
||||||
.iter_mut()
|
|
||||||
.zip(advice[start..].iter())
|
|
||||||
.zip(permutation[start..].iter())
|
|
||||||
{
|
|
||||||
*left *= &(*advice + &(x_0 * permutation) + &x_1);
|
|
||||||
}
|
|
||||||
});
|
|
||||||
}
|
|
||||||
|
|
||||||
let mut right = permutation_product_cosets_inv[permutation_index].clone();
|
|
||||||
let mut current_delta = x_0 * &C::Scalar::ZETA;
|
|
||||||
let step = domain.get_extended_omega();
|
|
||||||
for advice in columns.iter().map(|&column| {
|
|
||||||
&advice_cosets[pk.vk.cs.get_advice_query_index(column, 0)]
|
|
||||||
}) {
|
|
||||||
parallelize(&mut right, move |right, start| {
|
|
||||||
let mut beta_term =
|
|
||||||
current_delta * &step.pow_vartime(&[start as u64, 0, 0, 0]);
|
|
||||||
for (right, advice) in right.iter_mut().zip(advice[start..].iter())
|
|
||||||
{
|
|
||||||
*right *= &(*advice + &beta_term + &x_1);
|
|
||||||
beta_term *= &step;
|
|
||||||
}
|
|
||||||
});
|
|
||||||
current_delta *= &C::Scalar::DELTA;
|
|
||||||
}
|
|
||||||
|
|
||||||
left - &right
|
|
||||||
},
|
|
||||||
))
|
|
||||||
.fold(domain.empty_extended(), |h_poly, v| h_poly * x_2 + &v);
|
|
||||||
|
|
||||||
// Divide by t(X) = X^{params.n} - 1.
|
// Divide by t(X) = X^{params.n} - 1.
|
||||||
let h_poly = domain.divide_by_vanishing_poly(h_poly);
|
let h_poly = domain.divide_by_vanishing_poly(h_poly);
|
||||||
|
|
@ -402,7 +250,6 @@ impl<C: CurveAffine> Proof<C> {
|
||||||
}
|
}
|
||||||
|
|
||||||
let x_3: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
let x_3: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
||||||
let x_3_inv = domain.rotate_omega(x_3, Rotation(-1));
|
|
||||||
|
|
||||||
// Evaluate polynomials at omega^i x_3
|
// Evaluate polynomials at omega^i x_3
|
||||||
let advice_evals: Vec<_> = meta
|
let advice_evals: Vec<_> = meta
|
||||||
|
|
@ -432,27 +279,6 @@ impl<C: CurveAffine> Proof<C> {
|
||||||
})
|
})
|
||||||
.collect();
|
.collect();
|
||||||
|
|
||||||
let permutation_product_evals: Vec<C::Scalar> = permutation_product_polys
|
|
||||||
.iter()
|
|
||||||
.map(|poly| eval_polynomial(poly, x_3))
|
|
||||||
.collect();
|
|
||||||
|
|
||||||
let permutation_product_inv_evals: Vec<C::Scalar> = permutation_product_polys
|
|
||||||
.iter()
|
|
||||||
.map(|poly| eval_polynomial(poly, domain.rotate_omega(x_3, Rotation(-1))))
|
|
||||||
.collect();
|
|
||||||
|
|
||||||
let permutation_evals: Vec<Vec<C::Scalar>> = pk
|
|
||||||
.permutation_polys
|
|
||||||
.iter()
|
|
||||||
.map(|polys| {
|
|
||||||
polys
|
|
||||||
.iter()
|
|
||||||
.map(|poly| eval_polynomial(poly, x_3))
|
|
||||||
.collect()
|
|
||||||
})
|
|
||||||
.collect();
|
|
||||||
|
|
||||||
let h_evals: Vec<_> = h_pieces
|
let h_evals: Vec<_> = h_pieces
|
||||||
.iter()
|
.iter()
|
||||||
.map(|poly| eval_polynomial(poly, x_3))
|
.map(|poly| eval_polynomial(poly, x_3))
|
||||||
|
|
@ -464,13 +290,13 @@ impl<C: CurveAffine> Proof<C> {
|
||||||
.chain(aux_evals.iter())
|
.chain(aux_evals.iter())
|
||||||
.chain(fixed_evals.iter())
|
.chain(fixed_evals.iter())
|
||||||
.chain(h_evals.iter())
|
.chain(h_evals.iter())
|
||||||
.chain(permutation_product_evals.iter())
|
|
||||||
.chain(permutation_product_inv_evals.iter())
|
|
||||||
.chain(permutation_evals.iter().flat_map(|evals| evals.iter()))
|
|
||||||
{
|
{
|
||||||
transcript.absorb_scalar(*eval);
|
transcript.absorb_scalar(*eval);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// Evaluate the permutations, if any, at omega^i x_3.
|
||||||
|
let permutations = permutations.map(|p| p.evaluate(pk, x_3, &mut transcript));
|
||||||
|
|
||||||
let instances =
|
let instances =
|
||||||
iter::empty()
|
iter::empty()
|
||||||
.chain(pk.vk.cs.advice_queries.iter().enumerate().map(
|
.chain(pk.vk.cs.advice_queries.iter().enumerate().map(
|
||||||
|
|
@ -511,68 +337,23 @@ impl<C: CurveAffine> Proof<C> {
|
||||||
}),
|
}),
|
||||||
);
|
);
|
||||||
|
|
||||||
// Handle permutation arguments, if any exist
|
|
||||||
let permutation_instances = if !pk.vk.cs.permutations.is_empty() {
|
|
||||||
Some(
|
|
||||||
iter::empty()
|
|
||||||
// Open permutation product commitments at x_3
|
|
||||||
.chain(
|
|
||||||
permutation_product_polys
|
|
||||||
.iter()
|
|
||||||
.zip(permutation_product_blinds.iter())
|
|
||||||
.zip(permutation_product_evals.iter())
|
|
||||||
.map(|((poly, blind), eval)| ProverQuery {
|
|
||||||
point: x_3,
|
|
||||||
poly,
|
|
||||||
blind: *blind,
|
|
||||||
eval: *eval,
|
|
||||||
}),
|
|
||||||
)
|
|
||||||
// Open permutation polynomial commitments at x_3
|
|
||||||
.chain(
|
|
||||||
pk.permutation_polys
|
|
||||||
.iter()
|
|
||||||
.zip(permutation_evals.iter())
|
|
||||||
.flat_map(|(polys, evals)| polys.iter().zip(evals.iter()))
|
|
||||||
.map(|(poly, eval)| ProverQuery {
|
|
||||||
point: x_3,
|
|
||||||
poly,
|
|
||||||
blind: Blind::default(),
|
|
||||||
eval: *eval,
|
|
||||||
}),
|
|
||||||
)
|
|
||||||
// Open permutation product commitments at \omega^{-1} x_3
|
|
||||||
.chain(
|
|
||||||
permutation_product_polys
|
|
||||||
.iter()
|
|
||||||
.zip(permutation_product_blinds.iter())
|
|
||||||
.zip(permutation_product_inv_evals.iter())
|
|
||||||
.map(|((poly, blind), eval)| ProverQuery {
|
|
||||||
point: x_3_inv,
|
|
||||||
poly,
|
|
||||||
blind: *blind,
|
|
||||||
eval: *eval,
|
|
||||||
}),
|
|
||||||
),
|
|
||||||
)
|
|
||||||
} else {
|
|
||||||
None
|
|
||||||
};
|
|
||||||
|
|
||||||
let multiopening = multiopen::Proof::create(
|
let multiopening = multiopen::Proof::create(
|
||||||
params,
|
params,
|
||||||
&mut transcript,
|
&mut transcript,
|
||||||
instances.chain(permutation_instances.into_iter().flatten()),
|
instances.chain(
|
||||||
|
permutations
|
||||||
|
.as_ref()
|
||||||
|
.map(|p| p.open(pk, x_3))
|
||||||
|
.into_iter()
|
||||||
|
.flatten(),
|
||||||
|
),
|
||||||
)
|
)
|
||||||
.map_err(|_| Error::OpeningError)?;
|
.map_err(|_| Error::OpeningError)?;
|
||||||
|
|
||||||
Ok(Proof {
|
Ok(Proof {
|
||||||
advice_commitments,
|
advice_commitments,
|
||||||
h_commitments,
|
h_commitments,
|
||||||
permutation_product_commitments,
|
permutations: permutations.map(|p| p.build()),
|
||||||
permutation_product_evals,
|
|
||||||
permutation_product_inv_evals,
|
|
||||||
permutation_evals,
|
|
||||||
advice_evals,
|
advice_evals,
|
||||||
fixed_evals,
|
fixed_evals,
|
||||||
aux_evals,
|
aux_evals,
|
||||||
|
|
|
||||||
|
|
@ -6,7 +6,6 @@ use crate::arithmetic::{get_challenge_scalar, Challenge, CurveAffine, FieldExt};
|
||||||
use crate::poly::{
|
use crate::poly::{
|
||||||
commitment::{Guard, Params, MSM},
|
commitment::{Guard, Params, MSM},
|
||||||
multiopen::VerifierQuery,
|
multiopen::VerifierQuery,
|
||||||
Rotation,
|
|
||||||
};
|
};
|
||||||
use crate::transcript::{Hasher, Transcript};
|
use crate::transcript::{Hasher, Transcript};
|
||||||
|
|
||||||
|
|
@ -53,10 +52,8 @@ impl<'a, C: CurveAffine> Proof<C> {
|
||||||
let x_1: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
let x_1: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
||||||
|
|
||||||
// Hash each permutation product commitment
|
// Hash each permutation product commitment
|
||||||
for c in &self.permutation_product_commitments {
|
if let Some(p) = &self.permutations {
|
||||||
transcript
|
p.absorb_commitments(&mut transcript)?;
|
||||||
.absorb_point(c)
|
|
||||||
.map_err(|_| Error::TranscriptError)?;
|
|
||||||
}
|
}
|
||||||
|
|
||||||
// Sample x_2 challenge, which keeps the gates linearly independent.
|
// Sample x_2 challenge, which keeps the gates linearly independent.
|
||||||
|
|
@ -72,7 +69,6 @@ impl<'a, C: CurveAffine> Proof<C> {
|
||||||
// Sample x_3 challenge, which is used to ensure the circuit is
|
// Sample x_3 challenge, which is used to ensure the circuit is
|
||||||
// satisfied with high probability.
|
// satisfied with high probability.
|
||||||
let x_3: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
let x_3: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
|
||||||
let x_3_inv = vk.domain.rotate_omega(x_3, Rotation(-1));
|
|
||||||
|
|
||||||
// This check ensures the circuit is satisfied so long as the polynomial
|
// This check ensures the circuit is satisfied so long as the polynomial
|
||||||
// commitments open to the correct values.
|
// commitments open to the correct values.
|
||||||
|
|
@ -84,9 +80,13 @@ impl<'a, C: CurveAffine> Proof<C> {
|
||||||
.chain(self.aux_evals.iter())
|
.chain(self.aux_evals.iter())
|
||||||
.chain(self.fixed_evals.iter())
|
.chain(self.fixed_evals.iter())
|
||||||
.chain(self.h_evals.iter())
|
.chain(self.h_evals.iter())
|
||||||
.chain(self.permutation_product_evals.iter())
|
.chain(
|
||||||
.chain(self.permutation_product_inv_evals.iter())
|
self.permutations
|
||||||
.chain(self.permutation_evals.iter().flat_map(|evals| evals.iter()))
|
.as_ref()
|
||||||
|
.map(|p| p.evals())
|
||||||
|
.into_iter()
|
||||||
|
.flatten(),
|
||||||
|
)
|
||||||
{
|
{
|
||||||
transcript.absorb_scalar(*eval);
|
transcript.absorb_scalar(*eval);
|
||||||
}
|
}
|
||||||
|
|
@ -130,59 +130,19 @@ impl<'a, C: CurveAffine> Proof<C> {
|
||||||
}),
|
}),
|
||||||
);
|
);
|
||||||
|
|
||||||
// Handle permutation arguments, if any exist
|
|
||||||
let permutation_queries = if !vk.cs.permutations.is_empty() {
|
|
||||||
Some(
|
|
||||||
iter::empty()
|
|
||||||
// Open permutation product commitments at x_3
|
|
||||||
.chain(
|
|
||||||
self.permutation_product_commitments
|
|
||||||
.iter()
|
|
||||||
.enumerate()
|
|
||||||
.zip(self.permutation_product_evals.iter())
|
|
||||||
.map(|((idx, _), &eval)| VerifierQuery {
|
|
||||||
point: x_3,
|
|
||||||
commitment: &self.permutation_product_commitments[idx],
|
|
||||||
eval,
|
|
||||||
}),
|
|
||||||
)
|
|
||||||
// Open permutation commitments for each permutation argument at x_3
|
|
||||||
.chain(
|
|
||||||
(0..vk.permutation_commitments.len())
|
|
||||||
.map(|outer_idx| {
|
|
||||||
let inner_len = vk.permutation_commitments[outer_idx].len();
|
|
||||||
(0..inner_len).map(move |inner_idx| VerifierQuery {
|
|
||||||
point: x_3,
|
|
||||||
commitment: &vk.permutation_commitments[outer_idx][inner_idx],
|
|
||||||
eval: self.permutation_evals[outer_idx][inner_idx],
|
|
||||||
})
|
|
||||||
})
|
|
||||||
.flatten(),
|
|
||||||
)
|
|
||||||
// Open permutation product commitments at \omega^{-1} x_3
|
|
||||||
.chain(
|
|
||||||
self.permutation_product_commitments
|
|
||||||
.iter()
|
|
||||||
.enumerate()
|
|
||||||
.zip(self.permutation_product_inv_evals.iter())
|
|
||||||
.map(|((idx, _), &eval)| VerifierQuery {
|
|
||||||
point: x_3_inv,
|
|
||||||
commitment: &self.permutation_product_commitments[idx],
|
|
||||||
eval,
|
|
||||||
}),
|
|
||||||
),
|
|
||||||
)
|
|
||||||
} else {
|
|
||||||
None
|
|
||||||
};
|
|
||||||
|
|
||||||
// We are now convinced the circuit is satisfied so long as the
|
// We are now convinced the circuit is satisfied so long as the
|
||||||
// polynomial commitments open to the correct values.
|
// polynomial commitments open to the correct values.
|
||||||
self.multiopening
|
self.multiopening
|
||||||
.verify(
|
.verify(
|
||||||
params,
|
params,
|
||||||
&mut transcript,
|
&mut transcript,
|
||||||
queries.chain(permutation_queries.into_iter().flatten()),
|
queries.chain(
|
||||||
|
self.permutations
|
||||||
|
.as_ref()
|
||||||
|
.map(|p| p.queries(vk, x_3))
|
||||||
|
.into_iter()
|
||||||
|
.flatten(),
|
||||||
|
),
|
||||||
msm,
|
msm,
|
||||||
)
|
)
|
||||||
.map_err(|_| Error::OpeningError)
|
.map_err(|_| Error::OpeningError)
|
||||||
|
|
@ -209,29 +169,10 @@ impl<'a, C: CurveAffine> Proof<C> {
|
||||||
return Err(Error::IncompatibleParams);
|
return Err(Error::IncompatibleParams);
|
||||||
}
|
}
|
||||||
|
|
||||||
if self.permutation_evals.len() != vk.cs.permutations.len() {
|
self.permutations
|
||||||
return Err(Error::IncompatibleParams);
|
.as_ref()
|
||||||
}
|
.map(|p| p.check_lengths(vk))
|
||||||
|
.transpose()?;
|
||||||
for (permutation_evals, permutation) in
|
|
||||||
self.permutation_evals.iter().zip(vk.cs.permutations.iter())
|
|
||||||
{
|
|
||||||
if permutation_evals.len() != permutation.len() {
|
|
||||||
return Err(Error::IncompatibleParams);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
if self.permutation_product_inv_evals.len() != vk.cs.permutations.len() {
|
|
||||||
return Err(Error::IncompatibleParams);
|
|
||||||
}
|
|
||||||
|
|
||||||
if self.permutation_product_evals.len() != vk.cs.permutations.len() {
|
|
||||||
return Err(Error::IncompatibleParams);
|
|
||||||
}
|
|
||||||
|
|
||||||
if self.permutation_product_commitments.len() != vk.cs.permutations.len() {
|
|
||||||
return Err(Error::IncompatibleParams);
|
|
||||||
}
|
|
||||||
|
|
||||||
// TODO: check h_commitments
|
// TODO: check h_commitments
|
||||||
|
|
||||||
|
|
@ -275,46 +216,12 @@ impl<'a, C: CurveAffine> Proof<C> {
|
||||||
&|a, scalar| a * &scalar,
|
&|a, scalar| a * &scalar,
|
||||||
)
|
)
|
||||||
}))
|
}))
|
||||||
// l_0(X) * (1 - z(X)) = 0
|
|
||||||
.chain(
|
.chain(
|
||||||
self.permutation_product_evals
|
self.permutations
|
||||||
.iter()
|
.as_ref()
|
||||||
.map(|product_eval| l_0 * &(C::Scalar::one() - product_eval)),
|
.map(|p| p.expressions(vk, &self.advice_evals, l_0, x_0, x_1, x_3))
|
||||||
)
|
.into_iter()
|
||||||
// z(X) \prod (p(X) + \beta s_i(X) + \gamma)
|
.flatten(),
|
||||||
// - z(omega^{-1} X) \prod (p(X) + \delta^i \beta X + \gamma)
|
|
||||||
.chain(
|
|
||||||
vk.cs
|
|
||||||
.permutations
|
|
||||||
.iter()
|
|
||||||
.zip(self.permutation_evals.iter())
|
|
||||||
.zip(self.permutation_product_evals.iter())
|
|
||||||
.zip(self.permutation_product_inv_evals.iter())
|
|
||||||
.map(
|
|
||||||
|(((columns, permutation_evals), product_eval), product_inv_eval)| {
|
|
||||||
let mut left = *product_eval;
|
|
||||||
for (advice_eval, permutation_eval) in columns
|
|
||||||
.iter()
|
|
||||||
.map(|&column| {
|
|
||||||
self.advice_evals[vk.cs.get_advice_query_index(column, 0)]
|
|
||||||
})
|
|
||||||
.zip(permutation_evals.iter())
|
|
||||||
{
|
|
||||||
left *= &(advice_eval + &(x_0 * permutation_eval) + &x_1);
|
|
||||||
}
|
|
||||||
|
|
||||||
let mut right = *product_inv_eval;
|
|
||||||
let mut current_delta = x_0 * &x_3;
|
|
||||||
for advice_eval in columns.iter().map(|&column| {
|
|
||||||
self.advice_evals[vk.cs.get_advice_query_index(column, 0)]
|
|
||||||
}) {
|
|
||||||
right *= &(advice_eval + ¤t_delta + &x_1);
|
|
||||||
current_delta *= &C::Scalar::DELTA;
|
|
||||||
}
|
|
||||||
|
|
||||||
left - &right
|
|
||||||
},
|
|
||||||
),
|
|
||||||
)
|
)
|
||||||
.fold(C::Scalar::zero(), |h_eval, v| h_eval * &x_2 + &v);
|
.fold(C::Scalar::zero(), |h_eval, v| h_eval * &x_2 + &v);
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Reference in a new issue