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use super::*;
/// An affine representation of a prime order curve point that is guaranteed
/// to *not* be the point at infinity.
#[derive(Derivative)]
#[derivative(Debug, Clone)]
#[must_use]
pub struct NonZeroAffineVar<
P: SWModelParameters,
F: FieldVar<P::BaseField, <P::BaseField as Field>::BasePrimeField>,
> where
for<'a> &'a F: FieldOpsBounds<'a, P::BaseField, F>,
{
/// The x-coordinate.
pub x: F,
/// The y-coordinate.
pub y: F,
#[derivative(Debug = "ignore")]
_params: PhantomData<P>,
}
impl<P, F> NonZeroAffineVar<P, F>
where
P: SWModelParameters,
F: FieldVar<P::BaseField, <P::BaseField as Field>::BasePrimeField>,
for<'a> &'a F: FieldOpsBounds<'a, P::BaseField, F>,
{
pub fn new(x: F, y: F) -> Self {
Self {
x,
y,
_params: PhantomData,
}
}
/// Converts self into a non-zero projective point.
#[tracing::instrument(target = "r1cs", skip(self))]
pub fn into_projective(&self) -> ProjectiveVar<P, F> {
ProjectiveVar::new(self.x.clone(), self.y.clone(), F::one())
}
/// Performs an addition without checking that other != ±self.
#[tracing::instrument(target = "r1cs", skip(self, other))]
pub fn add_unchecked(&self, other: &Self) -> Result<Self, SynthesisError> {
if [self, other].is_constant() {
let result =
(self.value()?.into_projective() + other.value()?.into_projective()).into_affine();
Ok(Self::new(F::constant(result.x), F::constant(result.y)))
} else {
let (x1, y1) = (&self.x, &self.y);
let (x2, y2) = (&other.x, &other.y);
// Then,
// slope lambda := (y2 - y1)/(x2 - x1);
// x3 = lambda^2 - x1 - x2;
// y3 = lambda * (x1 - x3) - y1
let numerator = y2 - y1;
let denominator = x2 - x1;
// It's okay to use `unchecked` here, because the precondition of `add_unchecked` is that
// self != ±other, which means that `numerator` and `denominator` are both non-zero.
let lambda = numerator.mul_by_inverse_unchecked(&denominator)?;
let x3 = lambda.square()? - x1 - x2;
let y3 = lambda * &(x1 - &x3) - y1;
Ok(Self::new(x3, y3))
}
}
/// Doubles `self`. As this is a prime order curve point,
/// the output is guaranteed to not be the point at infinity.
#[tracing::instrument(target = "r1cs", skip(self))]
pub fn double(&self) -> Result<Self, SynthesisError> {
if [self].is_constant() {
let result = self.value()?.into_projective().double().into_affine();
// Panic if the result is zero.
assert!(!result.is_zero());
Ok(Self::new(F::constant(result.x), F::constant(result.y)))
} else {
let (x1, y1) = (&self.x, &self.y);
let x1_sqr = x1.square()?;
// Then,
// tangent lambda := (3 * x1^2 + a) / (2 * y1);
// x3 = lambda^2 - 2x1
// y3 = lambda * (x1 - x3) - y1
let numerator = x1_sqr.double()? + &x1_sqr + P::COEFF_A;
let denominator = y1.double()?;
// It's okay to use `unchecked` here, because the precondition of `double` is that
// self != zero.
let lambda = numerator.mul_by_inverse_unchecked(&denominator)?;
let x3 = lambda.square()? - x1.double()?;
let y3 = lambda * &(x1 - &x3) - y1;
Ok(Self::new(x3, y3))
}
}
/// Computes `(self + other) + self`. This method requires only 5 constraints,
/// less than the 7 required when computing via `self.double() + other`.
///
/// This follows the formulae from [\[ELM03\]](https://arxiv.org/abs/math/0208038).
#[tracing::instrument(target = "r1cs", skip(self))]
pub fn double_and_add_unchecked(&self, other: &Self) -> Result<Self, SynthesisError> {
if [self].is_constant() || other.is_constant() {
self.double()?.add_unchecked(other)
} else {
// It's okay to use `unchecked` the precondition is that `self != ±other` (i.e. same logic as in `add_unchecked`)
let (x1, y1) = (&self.x, &self.y);
let (x2, y2) = (&other.x, &other.y);
// Calculate self + other:
// slope lambda := (y2 - y1)/(x2 - x1);
// x3 = lambda^2 - x1 - x2;
// y3 = lambda * (x1 - x3) - y1
let numerator = y2 - y1;
let denominator = x2 - x1;
let lambda_1 = numerator.mul_by_inverse_unchecked(&denominator)?;
let x3 = lambda_1.square()? - x1 - x2;
// Calculate final addition slope:
let lambda_2 =
(lambda_1 + y1.double()?.mul_by_inverse_unchecked(&(&x3 - x1))?).negate()?;
let x4 = lambda_2.square()? - x1 - x3;
let y4 = lambda_2 * &(x1 - &x4) - y1;
Ok(Self::new(x4, y4))
}
}
/// Doubles `self` in place.
#[tracing::instrument(target = "r1cs", skip(self))]
pub fn double_in_place(&mut self) -> Result<(), SynthesisError> {
*self = self.double()?;
Ok(())
}
}
impl<P, F> R1CSVar<<P::BaseField as Field>::BasePrimeField> for NonZeroAffineVar<P, F>
where
P: SWModelParameters,
F: FieldVar<P::BaseField, <P::BaseField as Field>::BasePrimeField>,
for<'a> &'a F: FieldOpsBounds<'a, P::BaseField, F>,
{
type Value = SWAffine<P>;
fn cs(&self) -> ConstraintSystemRef<<P::BaseField as Field>::BasePrimeField> {
self.x.cs().or(self.y.cs())
}
fn value(&self) -> Result<SWAffine<P>, SynthesisError> {
Ok(SWAffine::new(self.x.value()?, self.y.value()?, false))
}
}
impl<P, F> CondSelectGadget<<P::BaseField as Field>::BasePrimeField> for NonZeroAffineVar<P, F>
where
P: SWModelParameters,
F: FieldVar<P::BaseField, <P::BaseField as Field>::BasePrimeField>,
for<'a> &'a F: FieldOpsBounds<'a, P::BaseField, F>,
{
#[inline]
#[tracing::instrument(target = "r1cs")]
fn conditionally_select(
cond: &Boolean<<P::BaseField as Field>::BasePrimeField>,
true_value: &Self,
false_value: &Self,
) -> Result<Self, SynthesisError> {
let x = cond.select(&true_value.x, &false_value.x)?;
let y = cond.select(&true_value.y, &false_value.y)?;
Ok(Self::new(x, y))
}
}
impl<P, F> EqGadget<<P::BaseField as Field>::BasePrimeField> for NonZeroAffineVar<P, F>
where
P: SWModelParameters,
F: FieldVar<P::BaseField, <P::BaseField as Field>::BasePrimeField>,
for<'a> &'a F: FieldOpsBounds<'a, P::BaseField, F>,
{
#[tracing::instrument(target = "r1cs")]
fn is_eq(
&self,
other: &Self,
) -> Result<Boolean<<P::BaseField as Field>::BasePrimeField>, SynthesisError> {
let x_equal = self.x.is_eq(&other.x)?;
let y_equal = self.y.is_eq(&other.y)?;
x_equal.and(&y_equal)
}
#[inline]
#[tracing::instrument(target = "r1cs")]
fn conditional_enforce_equal(
&self,
other: &Self,
condition: &Boolean<<P::BaseField as Field>::BasePrimeField>,
) -> Result<(), SynthesisError> {
let x_equal = self.x.is_eq(&other.x)?;
let y_equal = self.y.is_eq(&other.y)?;
let coordinates_equal = x_equal.and(&y_equal)?;
coordinates_equal.conditional_enforce_equal(&Boolean::Constant(true), condition)?;
Ok(())
}
#[inline]
#[tracing::instrument(target = "r1cs")]
fn enforce_equal(&self, other: &Self) -> Result<(), SynthesisError> {
self.x.enforce_equal(&other.x)?;
self.y.enforce_equal(&other.y)?;
Ok(())
}
#[inline]
#[tracing::instrument(target = "r1cs")]
fn conditional_enforce_not_equal(
&self,
other: &Self,
condition: &Boolean<<P::BaseField as Field>::BasePrimeField>,
) -> Result<(), SynthesisError> {
let is_equal = self.is_eq(other)?;
is_equal
.and(condition)?
.enforce_equal(&Boolean::Constant(false))
}
}
#[cfg(test)]
mod test_non_zero_affine {
use crate::alloc::AllocVar;
use crate::eq::EqGadget;
use crate::fields::fp::{AllocatedFp, FpVar};
use crate::groups::curves::short_weierstrass::non_zero_affine::NonZeroAffineVar;
use crate::groups::curves::short_weierstrass::ProjectiveVar;
use crate::groups::CurveVar;
use crate::R1CSVar;
use ark_ec::{ProjectiveCurve, SWModelParameters};
use ark_relations::r1cs::ConstraintSystem;
use ark_std::{vec::Vec, One};
use ark_test_curves::bls12_381::{g1::Parameters as G1Parameters, Fq};
#[test]
fn correctness_test_1() {
let cs = ConstraintSystem::<Fq>::new_ref();
let x = FpVar::Var(
AllocatedFp::<Fq>::new_witness(cs.clone(), || {
Ok(G1Parameters::AFFINE_GENERATOR_COEFFS.0)
})
.unwrap(),
);
let y = FpVar::Var(
AllocatedFp::<Fq>::new_witness(cs.clone(), || {
Ok(G1Parameters::AFFINE_GENERATOR_COEFFS.1)
})
.unwrap(),
);
// The following code uses `double` and `add` (`add_unchecked`) to compute
// (1 + 2 + ... + 2^9) G
let sum_a = {
let mut a = ProjectiveVar::<G1Parameters, FpVar<Fq>>::new(
x.clone(),
y.clone(),
FpVar::Constant(Fq::one()),
);
let mut double_sequence = Vec::new();
double_sequence.push(a.clone());
for _ in 1..10 {
a = a.double().unwrap();
double_sequence.push(a.clone());
}
let mut sum = double_sequence[0].clone();
for elem in double_sequence.iter().skip(1) {
sum = sum + elem;
}
let sum = sum.value().unwrap().into_affine();
(sum.x, sum.y)
};
let sum_b = {
let mut a = NonZeroAffineVar::<G1Parameters, FpVar<Fq>>::new(x, y);
let mut double_sequence = Vec::new();
double_sequence.push(a.clone());
for _ in 1..10 {
a = a.double().unwrap();
double_sequence.push(a.clone());
}
let mut sum = double_sequence[0].clone();
for elem in double_sequence.iter().skip(1) {
sum = sum.add_unchecked(&elem).unwrap();
}
(sum.x.value().unwrap(), sum.y.value().unwrap())
};
assert_eq!(sum_a.0, sum_b.0);
assert_eq!(sum_a.1, sum_b.1);
}
#[test]
fn correctness_test_2() {
let cs = ConstraintSystem::<Fq>::new_ref();
let x = FpVar::Var(
AllocatedFp::<Fq>::new_witness(cs.clone(), || {
Ok(G1Parameters::AFFINE_GENERATOR_COEFFS.0)
})
.unwrap(),
);
let y = FpVar::Var(
AllocatedFp::<Fq>::new_witness(cs.clone(), || {
Ok(G1Parameters::AFFINE_GENERATOR_COEFFS.1)
})
.unwrap(),
);
// The following code tests `double_and_add`.
let sum_a = {
let a = ProjectiveVar::<G1Parameters, FpVar<Fq>>::new(
x.clone(),
y.clone(),
FpVar::Constant(Fq::one()),
);
let mut cur = a.clone();
cur.double_in_place().unwrap();
for _ in 1..10 {
cur.double_in_place().unwrap();
cur = cur + &a;
}
let sum = cur.value().unwrap().into_affine();
(sum.x, sum.y)
};
let sum_b = {
let a = NonZeroAffineVar::<G1Parameters, FpVar<Fq>>::new(x, y);
let mut cur = a.double().unwrap();
for _ in 1..10 {
cur = cur.double_and_add_unchecked(&a).unwrap();
}
(cur.x.value().unwrap(), cur.y.value().unwrap())
};
assert!(cs.is_satisfied().unwrap());
assert_eq!(sum_a.0, sum_b.0);
assert_eq!(sum_a.1, sum_b.1);
}
#[test]
fn correctness_test_eq() {
let cs = ConstraintSystem::<Fq>::new_ref();
let x = FpVar::Var(
AllocatedFp::<Fq>::new_witness(cs.clone(), || {
Ok(G1Parameters::AFFINE_GENERATOR_COEFFS.0)
})
.unwrap(),
);
let y = FpVar::Var(
AllocatedFp::<Fq>::new_witness(cs.clone(), || {
Ok(G1Parameters::AFFINE_GENERATOR_COEFFS.1)
})
.unwrap(),
);
let a = NonZeroAffineVar::<G1Parameters, FpVar<Fq>>::new(x, y);
let n = 10;
let a_multiples: Vec<NonZeroAffineVar<G1Parameters, FpVar<Fq>>> =
std::iter::successors(Some(a.clone()), |acc| Some(acc.add_unchecked(&a).unwrap()))
.take(n)
.collect();
let all_equal: Vec<NonZeroAffineVar<G1Parameters, FpVar<Fq>>> = (0..n / 2)
.map(|i| {
a_multiples[i]
.add_unchecked(&a_multiples[n - i - 1])
.unwrap()
})
.collect();
for i in 0..n - 1 {
a_multiples[i]
.enforce_not_equal(&a_multiples[i + 1])
.unwrap();
}
for i in 0..all_equal.len() - 1 {
all_equal[i].enforce_equal(&all_equal[i + 1]).unwrap();
}
assert!(cs.is_satisfied().unwrap());
}
}