pasta_curves-source/src/poly/multiopen/verifier.rs

253 lines
10 KiB
Rust
Raw Normal View History

use super::super::{
commitment::{Guard, Params, MSM},
Error,
};
use super::{Proof, VerifierQuery};
use crate::arithmetic::{
eval_polynomial, get_challenge_scalar, lagrange_interpolate, Challenge, CurveAffine, Field,
};
2020-09-29 07:23:41 +00:00
use crate::plonk::hash_point;
use crate::transcript::Hasher;
use std::collections::{BTreeMap, BTreeSet};
2020-09-29 07:23:41 +00:00
#[derive(Debug, Clone)]
struct CommitmentData<C: CurveAffine> {
set_index: usize,
point_indices: Vec<usize>,
evals: Vec<C::Scalar>,
}
2020-10-13 17:08:03 +00:00
impl<C: CurveAffine> Proof<C> {
2020-09-29 07:23:41 +00:00
/// Verify a multi-opening proof
2020-10-13 17:08:03 +00:00
pub fn verify<'a, I, HBase: Hasher<C::Base>, HScalar: Hasher<C::Scalar>>(
2020-09-29 07:23:41 +00:00
&self,
params: &'a Params<C>,
transcript: &mut HBase,
transcript_scalar: &mut HScalar,
queries: I,
mut msm: MSM<'a, C>,
) -> Result<Guard<'a, C>, Error>
2020-09-29 07:23:41 +00:00
where
I: IntoIterator<Item = VerifierQuery<'a, C>> + Clone,
2020-09-29 07:23:41 +00:00
{
// Scale the MSM by a random factor to ensure that if the existing MSM
// has is_zero() == false then this argument won't be able to interfere
// with it to make it true, with high probability.
msm.scale(C::Scalar::random());
2020-09-29 07:23:41 +00:00
// Sample x_4 for compressing openings at the same points together
let x_4: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
let (commitment_map, point_sets) = construct_intermediate_sets::<'a, C, I>(queries.clone());
// Compress the commitments and expected evaluations at x_3 together.
2020-09-29 07:23:41 +00:00
// using the challenge x_4
let mut q_commitments: Vec<_> = vec![params.empty_msm(); point_sets.len()];
2020-10-13 17:08:03 +00:00
// A vec of vecs of evals. The outer vec corresponds to the point set,
// while the inner vec corresponds to the points in a particular set.
let mut q_eval_sets: Vec<Vec<C::Scalar>> = vec![Vec::new(); point_sets.len()];
for (set_idx, point_set) in point_sets.iter().enumerate() {
q_eval_sets[set_idx] = vec![C::Scalar::zero(); point_set.len()];
}
2020-09-29 07:23:41 +00:00
{
let mut accumulate = |set_idx: usize, new_commitment, evals: Vec<C::Scalar>| {
q_commitments[set_idx].scale(x_4);
q_commitments[set_idx].add_term(C::Scalar::one(), new_commitment);
for (eval_idx, &eval) in evals.iter().enumerate() {
q_eval_sets[set_idx][eval_idx] *= &x_4;
q_eval_sets[set_idx][eval_idx] += &eval;
}
2020-09-29 07:23:41 +00:00
};
2020-10-13 17:08:03 +00:00
// Each commitment corresponds to evaluations at a set of points.
// For each set, we collapse each commitment's evals pointwise.
for (commitment, commitment_data) in commitment_map.into_iter() {
2020-09-29 07:23:41 +00:00
accumulate(
commitment_data.set_index, // set_idx,
*commitment, // commitment,
commitment_data.evals, // evals
2020-09-29 07:23:41 +00:00
);
}
}
// Sample a challenge x_5 for keeping the multi-point quotient
// polynomial terms linearly independent.
let x_5: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
// Obtain the commitment to the multi-point quotient polynomial f(X).
hash_point(transcript, &self.f_commitment).unwrap();
// Sample a challenge x_6 for checking that f(X) was committed to
// correctly.
let x_6: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
for eval in self.q_evals.iter() {
transcript_scalar.absorb(*eval);
}
let transcript_scalar_point =
C::Base::from_bytes(&(transcript_scalar.squeeze()).to_bytes()).unwrap();
transcript.absorb(transcript_scalar_point);
// We can compute the expected msm_eval at x_6 using the q_evals provided
// by the prover and from x_5
let msm_eval = point_sets
.iter()
.zip(q_eval_sets.iter())
.zip(self.q_evals.iter())
.fold(
C::Scalar::zero(),
|msm_eval, ((points, evals), proof_eval)| {
let r_poly = lagrange_interpolate(points, evals);
let r_eval = eval_polynomial(&r_poly, x_6);
let eval = points.iter().fold(*proof_eval - &r_eval, |eval, point| {
eval * &(x_6 - &point).invert().unwrap()
});
msm_eval * &x_5 + &eval
},
);
2020-09-29 07:23:41 +00:00
// Sample a challenge x_7 that we will use to collapse the openings of
// the various remaining polynomials at x_6 together.
let x_7: C::Scalar = get_challenge_scalar(Challenge(transcript.squeeze().get_lower_128()));
// Compute the final commitment that has to be opened
let mut commitment_msm = params.empty_msm();
commitment_msm.add_term(C::Scalar::one(), self.f_commitment);
let (commitment_msm, msm_eval) = q_commitments.iter().zip(self.q_evals.iter()).fold(
(commitment_msm, msm_eval),
|(mut commitment_msm, msm_eval), (q_commitment, q_eval)| {
commitment_msm.scale(x_7);
commitment_msm.add_msm(&q_commitment);
(commitment_msm, msm_eval * &x_7 + &q_eval)
},
);
2020-09-29 07:23:41 +00:00
// Verify the opening proof
self.opening
.verify(params, msm, transcript, x_6, commitment_msm, msm_eval)
2020-09-29 07:23:41 +00:00
}
}
// For multiopen verifier: Construct intermediate representations relating commitments to sets of points by index
fn construct_intermediate_sets<'a, C: CurveAffine, I>(
queries: I,
) -> (
Vec<(&'a C, CommitmentData<C>)>, // commitment_map
Vec<Vec<C::Scalar>>, // point_sets
)
where
I: IntoIterator<Item = VerifierQuery<'a, C>> + Clone,
{
// Construct sets of unique commitments and corresponding information about their queries
let mut commitment_map: Vec<(&'a C, CommitmentData<C>)> = Vec::new();
// Also construct mapping from a unique point to a point_index. This defines an ordering on the points.
let mut point_index_map: BTreeMap<C::Scalar, usize> = BTreeMap::new();
// Construct point_indices which each commitment is queried at
for query in queries.clone() {
let num_points = point_index_map.len();
let point_idx = point_index_map.entry(query.point).or_insert(num_points);
let mut exists = false;
for (existing_commitment, existing_commitment_data) in commitment_map.iter_mut() {
// Add to CommitmentData for existing commitment in commitment_map
if std::ptr::eq(query.commitment, *existing_commitment) {
exists = true;
existing_commitment_data.point_indices.push(*point_idx);
}
}
// Add new commitment and CommitmentData to commitment_map
if !exists {
let commitment_data = CommitmentData {
set_index: 0,
point_indices: vec![*point_idx],
evals: vec![],
};
commitment_map.push((query.commitment, commitment_data));
}
}
// Also construct inverse mapping from point_index to the point
let mut inverse_point_index_map: BTreeMap<usize, C::Scalar> = BTreeMap::new();
for (&point, &point_index) in point_index_map.iter() {
inverse_point_index_map.insert(point_index, point);
}
// Construct map of unique ordered point_idx_sets to their set_idx
let mut point_idx_sets: BTreeMap<BTreeSet<usize>, usize> = BTreeMap::new();
// Also construct mapping from commitment to point_idx_set
let mut commitment_set_map: Vec<(&'a C, BTreeSet<usize>)> = Vec::new();
for (commitment, commitment_data) in commitment_map.iter_mut() {
let mut point_index_set = BTreeSet::new();
// Note that point_index_set is ordered, unlike point_indices
for &point_index in commitment_data.point_indices.iter() {
point_index_set.insert(point_index);
}
// Push point_index_set to CommitmentData for the relevant commitment
commitment_set_map.push((commitment, point_index_set.clone()));
let num_sets = point_idx_sets.len();
point_idx_sets
.entry(point_index_set.clone())
.or_insert(num_sets);
}
// Initialise empty evals vec for each unique commitment
for (_, commitment_data) in commitment_map.iter_mut() {
let len = commitment_data.point_indices.len();
commitment_data.evals = vec![C::Scalar::zero(); len];
}
// Populate set_index, evals and points for each commitment using point_idx_sets
for query in queries.clone() {
// The index of the point at which the commitment is queried
let point_index = point_index_map.get(&query.point).unwrap();
// The point_index_set at which the commitment was queried
let mut point_index_set = BTreeSet::new();
for (commitment, point_idx_set) in commitment_set_map.iter() {
if std::ptr::eq(query.commitment, *commitment) {
point_index_set = point_idx_set.clone();
}
}
// The set_index of the point_index_set
let set_index = point_idx_sets.get(&point_index_set).unwrap();
for (commitment, commitment_data) in commitment_map.iter_mut() {
if std::ptr::eq(query.commitment, *commitment) {
commitment_data.set_index = *set_index;
}
}
let point_index_set: Vec<usize> = point_index_set.iter().cloned().collect();
// The offset of the point_index in the point_index_set
let point_index_in_set = point_index_set
.iter()
.position(|i| i == point_index)
.unwrap();
for (commitment, commitment_data) in commitment_map.iter_mut() {
if std::ptr::eq(query.commitment, *commitment) {
// Insert the eval using the ordering of the point_index_set
commitment_data.evals[point_index_in_set] = query.eval;
}
}
}
// Get actual points in each point set
let mut point_sets: Vec<Vec<C::Scalar>> = vec![Vec::new(); point_idx_sets.len()];
for (point_idx_set, &set_idx) in point_idx_sets.iter() {
for &point_idx in point_idx_set.iter() {
let point = inverse_point_index_map.get(&point_idx).unwrap();
point_sets[set_idx].push(*point);
}
}
(commitment_map, point_sets)
}