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constraints.rs
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constraints.rs
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use crate::{
commitment::pedersen::{Commitment, Parameters, Randomness},
crh::pedersen::Window,
Vec,
};
use ark_ec::ProjectiveCurve;
use ark_ff::{
fields::{Field, PrimeField},
to_bytes, Zero,
};
use ark_relations::r1cs::{Namespace, SynthesisError};
use ark_r1cs_std::prelude::*;
use core::{borrow::Borrow, marker::PhantomData};
type ConstraintF<C> = <<C as ProjectiveCurve>::BaseField as Field>::BasePrimeField;
#[derive(Derivative)]
#[derivative(Clone(bound = "C: ProjectiveCurve, GG: CurveVar<C, ConstraintF<C>>"))]
pub struct ParametersVar<C: ProjectiveCurve, GG: CurveVar<C, ConstraintF<C>>>
where
for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
{
params: Parameters<C>,
#[doc(hidden)]
_group_var: PhantomData<GG>,
}
#[derive(Clone, Debug)]
pub struct RandomnessVar<F: Field>(Vec<UInt8<F>>);
pub struct CommGadget<C: ProjectiveCurve, GG: CurveVar<C, ConstraintF<C>>, W: Window>
where
for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
{
#[doc(hidden)]
_curve: PhantomData<*const C>,
#[doc(hidden)]
_group_var: PhantomData<*const GG>,
#[doc(hidden)]
_window: PhantomData<*const W>,
}
impl<C, GG, W> crate::commitment::CommitmentGadget<Commitment<C, W>, ConstraintF<C>>
for CommGadget<C, GG, W>
where
C: ProjectiveCurve,
GG: CurveVar<C, ConstraintF<C>>,
W: Window,
for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
ConstraintF<C>: PrimeField,
{
type OutputVar = GG;
type ParametersVar = ParametersVar<C, GG>;
type RandomnessVar = RandomnessVar<ConstraintF<C>>;
#[tracing::instrument(target = "r1cs", skip(parameters, r))]
fn commit(
parameters: &Self::ParametersVar,
input: &[UInt8<ConstraintF<C>>],
r: &Self::RandomnessVar,
) -> Result<Self::OutputVar, SynthesisError> {
assert!((input.len() * 8) <= (W::WINDOW_SIZE * W::NUM_WINDOWS));
let mut padded_input = input.to_vec();
// Pad if input length is less than `W::WINDOW_SIZE * W::NUM_WINDOWS`.
if (input.len() * 8) < W::WINDOW_SIZE * W::NUM_WINDOWS {
let current_length = input.len();
for _ in current_length..((W::WINDOW_SIZE * W::NUM_WINDOWS) / 8) {
padded_input.push(UInt8::constant(0u8));
}
}
assert_eq!(padded_input.len() * 8, W::WINDOW_SIZE * W::NUM_WINDOWS);
assert_eq!(parameters.params.generators.len(), W::NUM_WINDOWS);
// Allocate new variable for commitment output.
let input_in_bits: Vec<Boolean<_>> = padded_input
.iter()
.flat_map(|byte| byte.to_bits_le().unwrap())
.collect();
let input_in_bits = input_in_bits.chunks(W::WINDOW_SIZE);
let mut result =
GG::precomputed_base_multiscalar_mul_le(¶meters.params.generators, input_in_bits)?;
// Compute h^r
let rand_bits: Vec<_> =
r.0.iter()
.flat_map(|byte| byte.to_bits_le().unwrap())
.collect();
result.precomputed_base_scalar_mul_le(
rand_bits
.iter()
.zip(¶meters.params.randomness_generator),
)?;
Ok(result)
}
}
impl<C, GG> AllocVar<Parameters<C>, ConstraintF<C>> for ParametersVar<C, GG>
where
C: ProjectiveCurve,
GG: CurveVar<C, ConstraintF<C>>,
for<'a> &'a GG: GroupOpsBounds<'a, C, GG>,
{
fn new_variable<T: Borrow<Parameters<C>>>(
_cs: impl Into<Namespace<ConstraintF<C>>>,
f: impl FnOnce() -> Result<T, SynthesisError>,
_mode: AllocationMode,
) -> Result<Self, SynthesisError> {
let params = f()?.borrow().clone();
Ok(ParametersVar {
params,
_group_var: PhantomData,
})
}
}
impl<C, F> AllocVar<Randomness<C>, F> for RandomnessVar<F>
where
C: ProjectiveCurve,
F: PrimeField,
{
fn new_variable<T: Borrow<Randomness<C>>>(
cs: impl Into<Namespace<F>>,
f: impl FnOnce() -> Result<T, SynthesisError>,
mode: AllocationMode,
) -> Result<Self, SynthesisError> {
let r = to_bytes![&f().map(|b| b.borrow().0).unwrap_or(C::ScalarField::zero())].unwrap();
match mode {
AllocationMode::Constant => Ok(Self(UInt8::constant_vec(&r))),
AllocationMode::Input => UInt8::new_input_vec(cs, &r).map(Self),
AllocationMode::Witness => UInt8::new_witness_vec(cs, &r).map(Self),
}
}
}
#[cfg(test)]
mod test {
use ark_ed_on_bls12_381::{constraints::EdwardsVar, EdwardsProjective as JubJub, Fq, Fr};
use ark_ff::{test_rng, UniformRand};
use crate::{
commitment::{
pedersen::{constraints::CommGadget, Commitment, Randomness},
CommitmentGadget, CommitmentScheme,
},
crh::pedersen,
};
use ark_r1cs_std::prelude::*;
use ark_relations::r1cs::ConstraintSystem;
#[test]
fn commitment_gadget_test() {
let cs = ConstraintSystem::<Fq>::new_ref();
#[derive(Clone, PartialEq, Eq, Hash)]
pub(super) struct Window;
impl pedersen::Window for Window {
const WINDOW_SIZE: usize = 4;
const NUM_WINDOWS: usize = 8;
}
let input = [1u8; 4];
let rng = &mut test_rng();
type TestCOMM = Commitment<JubJub, Window>;
type TestCOMMGadget = CommGadget<JubJub, EdwardsVar, Window>;
let randomness = Randomness(Fr::rand(rng));
let parameters = Commitment::<JubJub, Window>::setup(rng).unwrap();
let primitive_result =
Commitment::<JubJub, Window>::commit(¶meters, &input, &randomness).unwrap();
let mut input_var = vec![];
for input_byte in input.iter() {
input_var.push(UInt8::new_witness(cs.clone(), || Ok(*input_byte)).unwrap());
}
let randomness_var =
<TestCOMMGadget as CommitmentGadget<TestCOMM, Fq>>::RandomnessVar::new_witness(
ark_relations::ns!(cs, "gadget_randomness"),
|| Ok(&randomness),
)
.unwrap();
let parameters_var =
<TestCOMMGadget as CommitmentGadget<TestCOMM, Fq>>::ParametersVar::new_witness(
ark_relations::ns!(cs, "gadget_parameters"),
|| Ok(¶meters),
)
.unwrap();
let result_var =
TestCOMMGadget::commit(¶meters_var, &input_var, &randomness_var).unwrap();
let primitive_result = primitive_result;
assert_eq!(primitive_result, result_var.value().unwrap());
assert!(cs.is_satisfied().unwrap());
}
}