ok, blinding are may be in place, but need more carefull evaluation cause r(zy, 1) != r(z, y) if follow the algorithm 1 from the paper
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@ -46,6 +46,7 @@ use crate::sonic::cs::ConstraintSystem as SonicConstraintSystem;
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use crate::sonic::cs::Variable as SonicVariable;
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use crate::sonic::cs::Coeff;
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use crate::sonic::sonic::{AdaptorCircuit};
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use super::parameters::NUM_BLINDINGS;
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use crate::verbose_flag;
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@ -381,7 +382,7 @@ pub fn generate_parameters<E, C>(
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where E: Engine, C: Circuit<E>
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{
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let circuit_parameters = get_circuit_parameters::<E, C>(circuit)?;
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let min_d = circuit_parameters.n * 4;
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let min_d = circuit_parameters.n * 4 + NUM_BLINDINGS;
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let srs = generate_srs(alpha, x, min_d)?;
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@ -407,8 +408,8 @@ pub fn generate_parameters_on_srs_and_information<E: Engine>(
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information: CircuitParameters<E>
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) -> Result<Parameters<E>, SynthesisError>
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{
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assert!(srs.d >= information.n * 4);
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let min_d = information.n * 4;
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assert!(srs.d >= information.n * 4 + NUM_BLINDINGS);
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let min_d = information.n * 4 + NUM_BLINDINGS;
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let trimmed_srs: SRS<E> = SRS {
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d: min_d,
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@ -210,80 +210,14 @@ pub fn create_proof_on_srs<E: Engine, C: Circuit<E>, S: SynthesisDriver>(
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let rng = &mut thread_rng();
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// c_{n+1}, c_{n+2}, c_{n+3}, c_{n+4}
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let blindings: Vec<E::Fr> = (0..NUM_BLINDINGS).into_iter().map(|_| E::Fr::rand(rng)).collect();
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// let blindings: Vec<E::Fr> = (0..NUM_BLINDINGS).into_iter().map(|_| E::Fr::rand(rng)).collect();
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// let blindings: Vec<E::Fr> = vec![E::Fr::zero(); NUM_BLINDINGS];
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let blindings: Vec<E::Fr> = vec![E::Fr::zero(); NUM_BLINDINGS];
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// let max_n = 3*n + 1 + NUM_BLINDINGS;
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// let max_n = 3*n + 1;
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fn polynomial_commitment<
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'a,
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EE: Engine,
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IS: IntoIterator<Item = &'a EE::Fr>,
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>(
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max: usize,
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largest_negative_power: usize,
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largest_positive_power: usize,
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srs: &'a SRS<EE>,
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s: IS,
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) -> EE::G1Affine
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where
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IS::IntoIter: ExactSizeIterator,
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{
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// smallest power is d - max - largest_negative_power; It should either be 1 for use of positive powers only,
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// of we should use part of the negative powers
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let d = srs.d;
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assert!(max >= largest_positive_power);
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if d < max + largest_negative_power + 1 {
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println!("Use negative powers for polynomial commitment");
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let min_power = largest_negative_power + max - d;
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let max_power = d + largest_positive_power - max;
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println!("Min power = {}, max = {}", min_power, max_power);
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// need to use negative powers to make a proper commitment
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return multiexp(
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srs.g_negative_x_alpha[0..min_power].iter().rev()
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.chain_ext(srs.g_positive_x_alpha[..max_power].iter()),
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s
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).into_affine();
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} else {
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println!("Use positive powers only for polynomial commitment");
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return multiexp(
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srs.g_positive_x_alpha[(srs.d - max - largest_negative_power - 1)..].iter(),
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s
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).into_affine();
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}
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}
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fn polynomial_commitment_opening<
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'a,
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EE: Engine,
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I: IntoIterator<Item = &'a EE::Fr>
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>(
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largest_negative_power: usize,
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largest_positive_power: usize,
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polynomial_coefficients: I,
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mut point: EE::Fr,
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srs: &'a SRS<EE>,
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) -> EE::G1Affine
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where I::IntoIter: DoubleEndedIterator + ExactSizeIterator,
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{
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let poly = kate_divison(
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polynomial_coefficients,
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point,
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);
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let negative_poly = poly[0..largest_negative_power].iter().rev();
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let positive_poly = poly[largest_negative_power..].iter();
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multiexp(
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srs.g_negative_x[1..(negative_poly.len() + 1)].iter().chain_ext(
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srs.g_positive_x[0..positive_poly.len()].iter()
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),
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negative_poly.chain_ext(positive_poly)
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).into_affine()
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}
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let r = polynomial_commitment::<E, _>(
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n,
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2*n + NUM_BLINDINGS,
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@ -1,6 +1,7 @@
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use crate::SynthesisError;
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use ff::{Field, PrimeField, PrimeFieldRepr, ScalarEngine};
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use pairing::{CurveAffine, CurveProjective, Engine};
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use super::srs::SRS;
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pub trait ChainExt: Iterator {
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fn chain_ext<U>(self, other: U) -> Chain<Self, U::IntoIter>
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@ -71,8 +72,71 @@ where
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}
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}
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pub fn polynomial_commitment<
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'a,
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E: Engine,
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IS: IntoIterator<Item = &'a E::Fr>,
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>(
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max: usize,
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largest_negative_power: usize,
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largest_positive_power: usize,
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srs: &'a SRS<E>,
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s: IS,
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) -> E::G1Affine
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where
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IS::IntoIter: ExactSizeIterator,
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{
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// smallest power is d - max - largest_negative_power; It should either be 1 for use of positive powers only,
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// of we should use part of the negative powers
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let d = srs.d;
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assert!(max >= largest_positive_power);
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if d < max + largest_negative_power + 1 {
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let min_power = largest_negative_power + max - d;
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let max_power = d + largest_positive_power - max;
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// need to use negative powers to make a proper commitment
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return multiexp(
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srs.g_negative_x_alpha[0..min_power].iter().rev()
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.chain_ext(srs.g_positive_x_alpha[..max_power].iter()),
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s
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).into_affine();
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} else {
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return multiexp(
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srs.g_positive_x_alpha[(srs.d - max - largest_negative_power - 1)..].iter(),
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s
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).into_affine();
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}
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}
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pub fn polynomial_commitment_opening<
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'a,
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E: Engine,
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I: IntoIterator<Item = &'a E::Fr>
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>(
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largest_negative_power: usize,
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largest_positive_power: usize,
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polynomial_coefficients: I,
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mut point: E::Fr,
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srs: &'a SRS<E>,
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) -> E::G1Affine
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where I::IntoIter: DoubleEndedIterator + ExactSizeIterator,
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{
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let poly = kate_divison(
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polynomial_coefficients,
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point,
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);
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let negative_poly = poly[0..largest_negative_power].iter().rev();
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let positive_poly = poly[largest_negative_power..].iter();
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multiexp(
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srs.g_negative_x[1..(negative_poly.len() + 1)].iter().chain_ext(
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srs.g_positive_x[0..positive_poly.len()].iter()
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),
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negative_poly.chain_ext(positive_poly)
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).into_affine()
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}
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extern crate crossbeam;
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use self::crossbeam::channel::{unbounded, RecvError};
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use self::crossbeam::channel::{unbounded};
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pub fn evaluate_at_consequitive_powers<'a, F: Field> (
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coeffs: &[F],
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@ -115,15 +179,11 @@ pub fn evaluate_at_consequitive_powers<'a, F: Field> (
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let mut result = F::zero();
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loop {
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let v = r.recv();
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match v {
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Ok(value) => {
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result.add_assign(&value);
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},
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Err(RecvError) => {
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break;
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}
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if r.is_empty() {
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break;
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}
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let value = r.recv().expect("must not be empty");
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result.add_assign(&value);
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}
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result
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