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//! This module defines R1CS related types and a folding scheme for Relaxed R1CS
#![allow(clippy::type_complexity)]
use super::{
commitments::{CommitGens, CommitTrait, Commitment, CompressedCommitment},
errors::NovaError,
traits::{Group, PrimeField},
};
use itertools::concat;
use rayon::prelude::*;
/// Public parameters for a given R1CS
#[derive(Debug)]
pub struct R1CSGens<G: Group> {
pub(crate) gens_W: CommitGens<G>, // TODO: avoid pub(crate)
pub(crate) gens_E: CommitGens<G>,
}
/// A type that holds the shape of the R1CS matrices
#[derive(Clone, Debug, PartialEq, Eq)]
pub struct R1CSShape<G: Group> {
num_cons: usize,
num_vars: usize,
num_io: usize,
A: Vec<(usize, usize, G::Scalar)>,
B: Vec<(usize, usize, G::Scalar)>,
C: Vec<(usize, usize, G::Scalar)>,
}
/// A type that holds a witness for a given R1CS instance
#[derive(Clone, Debug, PartialEq, Eq)]
pub struct R1CSWitness<G: Group> {
W: Vec<G::Scalar>,
}
/// A type that holds an R1CS instance
#[derive(Clone, Debug, PartialEq, Eq)]
pub struct R1CSInstance<G: Group> {
comm_W: Commitment<G>,
X: Vec<G::Scalar>,
}
/// A type that holds a witness for a given Relaxed R1CS instance
#[derive(Clone, Debug, PartialEq, Eq)]
pub struct RelaxedR1CSWitness<G: Group> {
W: Vec<G::Scalar>,
E: Vec<G::Scalar>,
}
/// A type that holds a Relaxed R1CS instance
#[derive(Clone, Debug, PartialEq, Eq)]
pub struct RelaxedR1CSInstance<G: Group> {
pub(crate) comm_W: Commitment<G>,
pub(crate) comm_E: Commitment<G>,
pub(crate) X: Vec<G::Scalar>,
pub(crate) u: G::Scalar,
Y_last: Vec<G::Scalar>, // output of the last instance that was folded
counter: usize, // the number of folds thus far
}
impl<G: Group> R1CSGens<G> {
/// Samples public parameters for the specified number of constraints and variables in an R1CS
pub fn new(num_cons: usize, num_vars: usize) -> R1CSGens<G> {
// generators to commit to witness vector `W`
let gens_W = CommitGens::new(b"gens_W", num_vars);
// generators to commit to the error/slack vector `E`
let gens_E = CommitGens::new(b"gens_E", num_cons);
R1CSGens { gens_E, gens_W }
}
}
impl<G: Group> R1CSShape<G> {
/// Create an object of type `R1CSShape` from the explicitly specified R1CS matrices
pub fn new(
num_cons: usize,
num_vars: usize,
num_io: usize,
A: &[(usize, usize, G::Scalar)],
B: &[(usize, usize, G::Scalar)],
C: &[(usize, usize, G::Scalar)],
) -> Result<R1CSShape<G>, NovaError> {
let is_valid = |num_cons: usize,
num_vars: usize,
num_io: usize,
M: &[(usize, usize, G::Scalar)]|
-> Result<(), NovaError> {
let res = (0..M.len())
.map(|i| {
let (row, col, _val) = M[i];
if row >= num_cons || col > num_io + num_vars {
Err(NovaError::InvalidIndex)
} else {
Ok(())
}
})
.collect::<Result<Vec<()>, NovaError>>();
if res.is_err() {
Err(NovaError::InvalidIndex)
} else {
Ok(())
}
};
let res_A = is_valid(num_cons, num_vars, num_io, A);
let res_B = is_valid(num_cons, num_vars, num_io, B);
let res_C = is_valid(num_cons, num_vars, num_io, C);
if res_A.is_err() || res_B.is_err() || res_C.is_err() {
return Err(NovaError::InvalidIndex);
}
// We require the number of public inputs/outputs to be even
if num_io % 2 != 0 {
return Err(NovaError::OddInputLength);
}
let shape = R1CSShape {
num_cons,
num_vars,
num_io,
A: A.to_owned(),
B: B.to_owned(),
C: C.to_owned(),
};
Ok(shape)
}
fn multiply_vec(
&self,
z: &[G::Scalar],
) -> Result<(Vec<G::Scalar>, Vec<G::Scalar>, Vec<G::Scalar>), NovaError> {
if z.len() != self.num_io + self.num_vars + 1 {
return Err(NovaError::InvalidWitnessLength);
}
// computes a product between a sparse matrix `M` and a vector `z`
// This does not perform any validation of entries in M (e.g., if entries in `M` reference indexes outside the range of `z`)
// This is safe since we know that `M` is valid
let sparse_matrix_vec_product =
|M: &Vec<(usize, usize, G::Scalar)>, num_rows: usize, z: &[G::Scalar]| -> Vec<G::Scalar> {
(0..M.len())
.map(|i| {
let (row, col, val) = M[i];
(row, val * z[col])
})
.fold(vec![G::Scalar::zero(); num_rows], |mut Mz, (r, v)| {
Mz[r] += v;
Mz
})
};
let Az = sparse_matrix_vec_product(&self.A, self.num_cons, z);
let Bz = sparse_matrix_vec_product(&self.B, self.num_cons, z);
let Cz = sparse_matrix_vec_product(&self.C, self.num_cons, z);
Ok((Az, Bz, Cz))
}
/// Checks if the Relaxed R1CS instance is satisfiable given a witness and its shape
pub fn is_sat_relaxed(
&self,
gens: &R1CSGens<G>,
U: &RelaxedR1CSInstance<G>,
W: &RelaxedR1CSWitness<G>,
) -> Result<(), NovaError> {
assert_eq!(W.W.len(), self.num_vars);
assert_eq!(W.E.len(), self.num_cons);
assert_eq!(U.X.len(), self.num_io);
// verify if Az * Bz = u*Cz + E
let res_eq: bool = {
let z = concat(vec![W.W.clone(), vec![U.u], U.X.clone()]);
let (Az, Bz, Cz) = self.multiply_vec(&z)?;
assert_eq!(Az.len(), self.num_cons);
assert_eq!(Bz.len(), self.num_cons);
assert_eq!(Cz.len(), self.num_cons);
let res: usize = (0..self.num_cons)
.map(|i| {
if Az[i] * Bz[i] == U.u * Cz[i] + W.E[i] {
0
} else {
1
}
})
.sum();
res == 0
};
// verify if comm_E and comm_W are commitments to E and W
let res_comm: bool = {
let comm_W = W.W.commit(&gens.gens_W);
let comm_E = W.E.commit(&gens.gens_E);
U.comm_W == comm_W && U.comm_E == comm_E
};
if res_eq && res_comm {
Ok(())
} else {
Err(NovaError::UnSat)
}
}
/// Checks if the R1CS instance is satisfiable given a witness and its shape
pub fn is_sat(
&self,
gens: &R1CSGens<G>,
U: &R1CSInstance<G>,
W: &R1CSWitness<G>,
) -> Result<(), NovaError> {
assert_eq!(W.W.len(), self.num_vars);
assert_eq!(U.X.len(), self.num_io);
// verify if Az * Bz = u*Cz
let res_eq: bool = {
let z = concat(vec![W.W.clone(), vec![G::Scalar::one()], U.X.clone()]);
let (Az, Bz, Cz) = self.multiply_vec(&z)?;
assert_eq!(Az.len(), self.num_cons);
assert_eq!(Bz.len(), self.num_cons);
assert_eq!(Cz.len(), self.num_cons);
let res: usize = (0..self.num_cons)
.map(|i| if Az[i] * Bz[i] == Cz[i] { 0 } else { 1 })
.sum();
res == 0
};
// verify if comm_W is a commitment to W
let res_comm: bool = U.comm_W == W.W.commit(&gens.gens_W);
if res_eq && res_comm {
Ok(())
} else {
Err(NovaError::UnSat)
}
}
/// A method to compute a commitment to the cross-term `T` given a
/// Relaxed R1CS instance-witness pair and an R1CS instance-witness pair
pub fn commit_T(
&self,
gens: &R1CSGens<G>,
U1: &RelaxedR1CSInstance<G>,
W1: &RelaxedR1CSWitness<G>,
U2: &R1CSInstance<G>,
W2: &R1CSWitness<G>,
) -> Result<
(
Vec<G::Scalar>,
CompressedCommitment<G::CompressedGroupElement>,
),
NovaError,
> {
let (AZ_1, BZ_1, CZ_1) = {
let Z1 = concat(vec![W1.W.clone(), vec![U1.u], U1.X.clone()]);
self.multiply_vec(&Z1)?
};
let (AZ_2, BZ_2, CZ_2) = {
let Z2 = concat(vec![W2.W.clone(), vec![G::Scalar::one()], U2.X.clone()]);
self.multiply_vec(&Z2)?
};
let AZ_1_circ_BZ_2 = (0..AZ_1.len())
.map(|i| AZ_1[i] * BZ_2[i])
.collect::<Vec<G::Scalar>>();
let AZ_2_circ_BZ_1 = (0..AZ_2.len())
.map(|i| AZ_2[i] * BZ_1[i])
.collect::<Vec<G::Scalar>>();
let u_1_cdot_CZ_2 = (0..CZ_2.len())
.map(|i| U1.u * CZ_2[i])
.collect::<Vec<G::Scalar>>();
let u_2_cdot_CZ_1 = (0..CZ_1.len()).map(|i| CZ_1[i]).collect::<Vec<G::Scalar>>();
let T = AZ_1_circ_BZ_2
.par_iter()
.zip(&AZ_2_circ_BZ_1)
.zip(&u_1_cdot_CZ_2)
.zip(&u_2_cdot_CZ_1)
.map(|(((a, b), c), d)| *a + *b - *c - *d)
.collect::<Vec<G::Scalar>>();
let comm_T = T.commit(&gens.gens_E).compress();
Ok((T, comm_T))
}
}
impl<G: Group> R1CSWitness<G> {
/// A method to create a witness object using a vector of scalars
pub fn new(S: &R1CSShape<G>, W: &[G::Scalar]) -> Result<R1CSWitness<G>, NovaError> {
if S.num_vars != W.len() {
Err(NovaError::InvalidWitnessLength)
} else {
Ok(R1CSWitness { W: W.to_owned() })
}
}
/// Commits to the witness using the supplied generators
pub fn commit(&self, gens: &R1CSGens<G>) -> Commitment<G> {
self.W.commit(&gens.gens_W)
}
}
impl<G: Group> R1CSInstance<G> {
/// A method to create an instance object using consitituent elements
pub fn new(
S: &R1CSShape<G>,
comm_W: &Commitment<G>,
X: &[G::Scalar],
) -> Result<R1CSInstance<G>, NovaError> {
if S.num_io != X.len() {
Err(NovaError::InvalidInputLength)
} else {
Ok(R1CSInstance {
comm_W: *comm_W,
X: X.to_owned(),
})
}
}
}
impl<G: Group> RelaxedR1CSWitness<G> {
/// Produces a default RelaxedR1CSWitness given an R1CSShape
pub fn default(S: &R1CSShape<G>) -> RelaxedR1CSWitness<G> {
RelaxedR1CSWitness {
W: vec![G::Scalar::zero(); S.num_vars],
E: vec![G::Scalar::zero(); S.num_cons],
}
}
/// Commits to the witness using the supplied generators
pub fn commit(&self, gens: &R1CSGens<G>) -> (Commitment<G>, Commitment<G>) {
(self.W.commit(&gens.gens_W), self.E.commit(&gens.gens_E))
}
/// Folds an incoming R1CSWitness into the current one
pub fn fold(
&self,
W2: &R1CSWitness<G>,
T: &[G::Scalar],
r: &G::Scalar,
) -> Result<RelaxedR1CSWitness<G>, NovaError> {
let (W1, E1) = (&self.W, &self.E);
let W2 = &W2.W;
if W1.len() != W2.len() {
return Err(NovaError::InvalidWitnessLength);
}
let W = W1
.par_iter()
.zip(W2)
.map(|(a, b)| *a + *r * *b)
.collect::<Vec<G::Scalar>>();
let E = E1
.par_iter()
.zip(T)
.map(|(a, b)| *a + *r * *b)
.collect::<Vec<G::Scalar>>();
Ok(RelaxedR1CSWitness { W, E })
}
}
impl<G: Group> RelaxedR1CSInstance<G> {
/// Produces a default RelaxedR1CSInstance given R1CSGens and R1CSShape
pub fn default(gens: &R1CSGens<G>, S: &R1CSShape<G>) -> RelaxedR1CSInstance<G> {
let (comm_W, comm_E) = RelaxedR1CSWitness::default(S).commit(gens);
RelaxedR1CSInstance {
comm_W,
comm_E,
u: G::Scalar::zero(),
X: vec![G::Scalar::zero(); S.num_io],
Y_last: vec![G::Scalar::zero(); S.num_io / 2],
counter: 0,
}
}
/// Folds an incoming RelaxedR1CSInstance into the current one
pub fn fold(
&self,
U2: &R1CSInstance<G>,
comm_T: &CompressedCommitment<G::CompressedGroupElement>,
r: &G::Scalar,
) -> Result<RelaxedR1CSInstance<G>, NovaError> {
let comm_T_unwrapped = comm_T.decompress()?;
let (X1, u1, comm_W_1, comm_E_1) =
(&self.X, &self.u, &self.comm_W.clone(), &self.comm_E.clone());
let (X2, comm_W_2) = (&U2.X, &U2.comm_W);
// check if the input of the incoming instance matches the output
// of the incremental computation thus far if counter > 0
if self.counter > 0 {
if self.Y_last.len() != U2.X.len() / 2 {
return Err(NovaError::InvalidInputLength);
}
for i in 0..self.Y_last.len() {
if self.Y_last[i] != U2.X[i] {
return Err(NovaError::InputOutputMismatch);
}
}
}
// weighted sum of X, comm_W, comm_E, and u
let X = X1
.par_iter()
.zip(X2)
.map(|(a, b)| *a + *r * *b)
.collect::<Vec<G::Scalar>>();
let comm_W = comm_W_1 + comm_W_2 * r;
let comm_E = *comm_E_1 + comm_T_unwrapped * *r;
let u = *u1 + *r;
Ok(RelaxedR1CSInstance {
comm_W,
comm_E,
X,
u,
Y_last: U2.X[U2.X.len() / 2..].to_owned(),
counter: self.counter + 1,
})
}
}