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https://github.com/serai-dex/serai.git
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Reconcile the two copies of scalar_vector.rs in monero-serai
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@@ -112,7 +112,7 @@ impl AggregateRangeStatement {
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let mut d = ScalarVector::new(mn);
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for j in 1 ..= V.len() {
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z_pow.push(z.pow(Scalar::from(2 * u64::try_from(j).unwrap()))); // TODO: Optimize this
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d = d.add_vec(&Self::d_j(j, V.len()).mul(z_pow[j - 1]));
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d = d + &(Self::d_j(j, V.len()) * (z_pow[j - 1]));
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}
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let mut ascending_y = ScalarVector(vec![y]);
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@@ -124,7 +124,8 @@ impl AggregateRangeStatement {
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let mut descending_y = ascending_y.clone();
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descending_y.0.reverse();
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let d_descending_y = d.mul_vec(&descending_y);
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let d_descending_y = d.clone() * &descending_y;
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let d_descending_y_plus_z = d_descending_y + z;
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let y_mn_plus_one = descending_y[0] * y;
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@@ -135,9 +136,9 @@ impl AggregateRangeStatement {
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let neg_z = -z;
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let mut A_terms = Vec::with_capacity((generators.len() * 2) + 2);
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for (i, d_y_z) in d_descending_y.add(z).0.drain(..).enumerate() {
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for (i, d_y_z) in d_descending_y_plus_z.0.iter().enumerate() {
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A_terms.push((neg_z, generators.generator(GeneratorsList::GBold1, i)));
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A_terms.push((d_y_z, generators.generator(GeneratorsList::HBold1, i)));
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A_terms.push((*d_y_z, generators.generator(GeneratorsList::HBold1, i)));
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}
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A_terms.push((y_mn_plus_one, commitment_accum));
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A_terms.push((
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@@ -145,7 +146,14 @@ impl AggregateRangeStatement {
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Generators::g(),
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));
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(y, d_descending_y, y_mn_plus_one, z, ScalarVector(z_pow), A + multiexp_vartime(&A_terms))
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(
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y,
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d_descending_y_plus_z,
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y_mn_plus_one,
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z,
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ScalarVector(z_pow),
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A + multiexp_vartime(&A_terms),
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)
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}
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pub(crate) fn prove<R: RngCore + CryptoRng>(
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@@ -191,7 +199,7 @@ impl AggregateRangeStatement {
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a_l.0.append(&mut u64_decompose(*witness.values.get(j - 1).unwrap_or(&0)).0);
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}
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let a_r = a_l.sub(Scalar::ONE);
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let a_r = a_l.clone() - Scalar::ONE;
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let alpha = Scalar::random(&mut *rng);
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@@ -209,11 +217,11 @@ impl AggregateRangeStatement {
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// Multiply by INV_EIGHT per earlier commentary
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A.0 *= crate::INV_EIGHT();
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let (y, d_descending_y, y_mn_plus_one, z, z_pow, A_hat) =
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let (y, d_descending_y_plus_z, y_mn_plus_one, z, z_pow, A_hat) =
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Self::compute_A_hat(PointVector(V), &generators, &mut transcript, A);
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let a_l = a_l.sub(z);
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let a_r = a_r.add_vec(&d_descending_y).add(z);
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let a_l = a_l - z;
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let a_r = a_r + &d_descending_y_plus_z;
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let mut alpha = alpha;
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for j in 1 ..= witness.gammas.len() {
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alpha += z_pow[j - 1] * witness.gammas[j - 1] * y_mn_plus_one;
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@@ -3,8 +3,7 @@
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use group::Group;
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use dalek_ff_group::{Scalar, EdwardsPoint};
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mod scalar_vector;
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pub(crate) use scalar_vector::{ScalarVector, weighted_inner_product};
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pub(crate) use crate::ringct::bulletproofs::scalar_vector::ScalarVector;
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mod point_vector;
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pub(crate) use point_vector::PointVector;
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@@ -1,114 +0,0 @@
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use core::{
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borrow::Borrow,
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ops::{Index, IndexMut},
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};
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use std_shims::vec::Vec;
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use zeroize::Zeroize;
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use group::ff::Field;
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use dalek_ff_group::Scalar;
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#[derive(Clone, PartialEq, Eq, Debug, Zeroize)]
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pub(crate) struct ScalarVector(pub(crate) Vec<Scalar>);
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impl Index<usize> for ScalarVector {
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type Output = Scalar;
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fn index(&self, index: usize) -> &Scalar {
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&self.0[index]
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}
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}
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impl IndexMut<usize> for ScalarVector {
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fn index_mut(&mut self, index: usize) -> &mut Scalar {
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&mut self.0[index]
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}
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}
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impl ScalarVector {
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pub(crate) fn new(len: usize) -> Self {
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ScalarVector(vec![Scalar::ZERO; len])
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}
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pub(crate) fn add(&self, scalar: impl Borrow<Scalar>) -> Self {
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let mut res = self.clone();
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for val in &mut res.0 {
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*val += scalar.borrow();
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}
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res
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}
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pub(crate) fn sub(&self, scalar: impl Borrow<Scalar>) -> Self {
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let mut res = self.clone();
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for val in &mut res.0 {
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*val -= scalar.borrow();
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}
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res
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}
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pub(crate) fn mul(&self, scalar: impl Borrow<Scalar>) -> Self {
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let mut res = self.clone();
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for val in &mut res.0 {
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*val *= scalar.borrow();
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}
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res
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}
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pub(crate) fn add_vec(&self, vector: &Self) -> Self {
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debug_assert_eq!(self.len(), vector.len());
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let mut res = self.clone();
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for (i, val) in res.0.iter_mut().enumerate() {
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*val += vector.0[i];
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}
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res
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}
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pub(crate) fn mul_vec(&self, vector: &Self) -> Self {
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debug_assert_eq!(self.len(), vector.len());
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let mut res = self.clone();
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for (i, val) in res.0.iter_mut().enumerate() {
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*val *= vector.0[i];
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}
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res
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}
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pub(crate) fn inner_product(&self, vector: &Self) -> Scalar {
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self.mul_vec(vector).sum()
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}
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pub(crate) fn powers(x: Scalar, len: usize) -> Self {
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debug_assert!(len != 0);
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let mut res = Vec::with_capacity(len);
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res.push(Scalar::ONE);
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res.push(x);
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for i in 2 .. len {
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res.push(res[i - 1] * x);
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}
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res.truncate(len);
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ScalarVector(res)
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}
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pub(crate) fn sum(mut self) -> Scalar {
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self.0.drain(..).sum()
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}
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pub(crate) fn len(&self) -> usize {
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self.0.len()
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}
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pub(crate) fn split(mut self) -> (Self, Self) {
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debug_assert!(self.len() > 1);
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let r = self.0.split_off(self.0.len() / 2);
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debug_assert_eq!(self.len(), r.len());
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(self, ScalarVector(r))
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}
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}
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pub(crate) fn weighted_inner_product(
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a: &ScalarVector,
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b: &ScalarVector,
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y: &ScalarVector,
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) -> Scalar {
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a.inner_product(&b.mul_vec(y))
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}
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@@ -4,7 +4,7 @@ use rand_core::{RngCore, CryptoRng};
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use zeroize::{Zeroize, ZeroizeOnDrop};
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use multiexp::{multiexp, multiexp_vartime, BatchVerifier};
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use multiexp::{BatchVerifier, multiexp, multiexp_vartime};
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use group::{
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ff::{Field, PrimeField},
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GroupEncoding,
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@@ -12,8 +12,7 @@ use group::{
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use dalek_ff_group::{Scalar, EdwardsPoint};
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use crate::ringct::bulletproofs::plus::{
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ScalarVector, PointVector, GeneratorsList, Generators, padded_pow_of_2, weighted_inner_product,
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transcript::*,
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ScalarVector, PointVector, GeneratorsList, Generators, padded_pow_of_2, transcript::*,
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};
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// Figure 1
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@@ -219,7 +218,7 @@ impl WipStatement {
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.zip(g_bold.0.iter().copied())
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.chain(witness.b.0.iter().copied().zip(h_bold.0.iter().copied()))
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.collect::<Vec<_>>();
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P_terms.push((weighted_inner_product(&witness.a, &witness.b, &y), g));
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P_terms.push((witness.a.clone().weighted_inner_product(&witness.b, &y), g));
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P_terms.push((witness.alpha, h));
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debug_assert_eq!(multiexp(&P_terms), P);
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P_terms.zeroize();
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@@ -258,14 +257,13 @@ impl WipStatement {
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let d_l = Scalar::random(&mut *rng);
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let d_r = Scalar::random(&mut *rng);
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let c_l = weighted_inner_product(&a1, &b2, &y);
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let c_r = weighted_inner_product(&(a2.mul(y_n_hat)), &b1, &y);
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let c_l = a1.clone().weighted_inner_product(&b2, &y);
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let c_r = (a2.clone() * y_n_hat).weighted_inner_product(&b1, &y);
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// TODO: Calculate these with a batch inversion
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let y_inv_n_hat = y_n_hat.invert().unwrap();
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let mut L_terms = a1
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.mul(y_inv_n_hat)
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let mut L_terms = (a1.clone() * y_inv_n_hat)
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.0
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.drain(..)
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.zip(g_bold2.0.iter().copied())
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@@ -277,8 +275,7 @@ impl WipStatement {
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L_vec.push(L);
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L_terms.zeroize();
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let mut R_terms = a2
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.mul(y_n_hat)
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let mut R_terms = (a2.clone() * y_n_hat)
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.0
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.drain(..)
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.zip(g_bold1.0.iter().copied())
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@@ -294,8 +291,8 @@ impl WipStatement {
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(e, inv_e, e_square, inv_e_square, g_bold, h_bold) =
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Self::next_G_H(&mut transcript, g_bold1, g_bold2, h_bold1, h_bold2, L, R, y_inv_n_hat);
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a = a1.mul(e).add_vec(&a2.mul(y_n_hat * inv_e));
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b = b1.mul(inv_e).add_vec(&b2.mul(e));
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a = (a1 * e) + &(a2 * (y_n_hat * inv_e));
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b = (b1 * inv_e) + &(b2 * e);
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alpha += (d_l * e_square) + (d_r * inv_e_square);
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debug_assert_eq!(g_bold.len(), a.len());
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