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use ark_ec::{
bls12,
bls12::Bls12Config,
hashing::curve_maps::wb::{IsogenyMap, WBConfig},
models::CurveConfig,
short_weierstrass::{Affine, SWCurveConfig},
AffineRepr, Group,
};
use ark_ff::{Field, MontFp, PrimeField, Zero};
use ark_serialize::{Compress, SerializationError};
use ark_std::{ops::Neg, One};
use super::g1_swu_iso;
use crate::{
util::{
read_g1_compressed, read_g1_uncompressed, serialize_fq, EncodingFlags, G1_SERIALIZED_SIZE,
},
Fq, Fr,
};
pub type G1Affine = bls12::G1Affine<crate::Config>;
pub type G1Projective = bls12::G1Projective<crate::Config>;
#[derive(Clone, Default, PartialEq, Eq)]
pub struct Config;
impl CurveConfig for Config {
type BaseField = Fq;
type ScalarField = Fr;
const COFACTOR: &'static [u64] = &[0x8c00aaab0000aaab, 0x396c8c005555e156];
const COFACTOR_INV: Fr =
MontFp!("52435875175126190458656871551744051925719901746859129887267498875565241663483");
}
impl SWCurveConfig for Config {
const COEFF_A: Fq = Fq::ZERO;
const COEFF_B: Fq = MontFp!("4");
const GENERATOR: G1Affine = G1Affine::new_unchecked(G1_GENERATOR_X, G1_GENERATOR_Y);
#[inline(always)]
fn mul_by_a(_: Self::BaseField) -> Self::BaseField {
Self::BaseField::zero()
}
#[inline]
fn is_in_correct_subgroup_assuming_on_curve(p: &G1Affine) -> bool {
let x_times_p = p.mul_bigint(crate::Config::X);
if x_times_p.eq(p) && !p.infinity {
return false;
}
let minus_x_squared_times_p = x_times_p.mul_bigint(crate::Config::X).neg();
let endomorphism_p = endomorphism(p);
minus_x_squared_times_p.eq(&endomorphism_p)
}
#[inline]
fn clear_cofactor(p: &G1Affine) -> G1Affine {
let h_eff = one_minus_x().into_bigint();
Config::mul_affine(&p, h_eff.as_ref()).into()
}
fn deserialize_with_mode<R: ark_serialize::Read>(
mut reader: R,
compress: ark_serialize::Compress,
validate: ark_serialize::Validate,
) -> Result<Affine<Self>, ark_serialize::SerializationError> {
let p = if compress == ark_serialize::Compress::Yes {
read_g1_compressed(&mut reader)?
} else {
read_g1_uncompressed(&mut reader)?
};
if validate == ark_serialize::Validate::Yes && !p.is_in_correct_subgroup_assuming_on_curve()
{
return Err(SerializationError::InvalidData);
}
Ok(p)
}
fn serialize_with_mode<W: ark_serialize::Write>(
item: &Affine<Self>,
mut writer: W,
compress: ark_serialize::Compress,
) -> Result<(), SerializationError> {
let encoding = EncodingFlags {
is_compressed: compress == ark_serialize::Compress::Yes,
is_infinity: item.is_zero(),
is_lexographically_largest: item.y > -item.y,
};
let mut p = *item;
if encoding.is_infinity {
p = G1Affine::zero();
}
let x_bytes = serialize_fq(p.x);
if encoding.is_compressed {
let mut bytes: [u8; G1_SERIALIZED_SIZE] = x_bytes;
encoding.encode_flags(&mut bytes);
writer.write_all(&bytes)?;
} else {
let mut bytes = [0u8; 2 * G1_SERIALIZED_SIZE];
bytes[0..G1_SERIALIZED_SIZE].copy_from_slice(&x_bytes[..]);
bytes[G1_SERIALIZED_SIZE..].copy_from_slice(&serialize_fq(p.y)[..]);
encoding.encode_flags(&mut bytes);
writer.write_all(&bytes)?;
};
Ok(())
}
fn serialized_size(compress: Compress) -> usize {
if compress == Compress::Yes {
G1_SERIALIZED_SIZE
} else {
G1_SERIALIZED_SIZE * 2
}
}
}
fn one_minus_x() -> Fr {
const X: Fr = Fr::from_sign_and_limbs(!crate::Config::X_IS_NEGATIVE, crate::Config::X);
Fr::one() - X
}
impl WBConfig for Config {
type IsogenousCurve = g1_swu_iso::SwuIsoConfig;
const ISOGENY_MAP: IsogenyMap<'static, Self::IsogenousCurve, Self> =
g1_swu_iso::ISOGENY_MAP_TO_G1;
}
pub const G1_GENERATOR_X: Fq = MontFp!("3685416753713387016781088315183077757961620795782546409894578378688607592378376318836054947676345821548104185464507");
pub const G1_GENERATOR_Y: Fq = MontFp!("1339506544944476473020471379941921221584933875938349620426543736416511423956333506472724655353366534992391756441569");
pub const BETA: Fq = MontFp!("793479390729215512621379701633421447060886740281060493010456487427281649075476305620758731620350");
pub fn endomorphism(p: &Affine<Config>) -> Affine<Config> {
let mut res = (*p).clone();
res.x *= BETA;
res
}
#[cfg(test)]
mod test {
use super::*;
use crate::g1;
use ark_std::{rand::Rng, UniformRand};
fn sample_unchecked() -> Affine<g1::Config> {
let mut rng = ark_std::test_rng();
loop {
let x = Fq::rand(&mut rng);
let greatest = rng.gen();
if let Some(p) = Affine::get_point_from_x_unchecked(x, greatest) {
return p;
}
}
}
#[test]
fn test_cofactor_clearing() {
const SAMPLES: usize = 100;
for _ in 0..SAMPLES {
let p: Affine<g1::Config> = sample_unchecked();
let p = p.clear_cofactor();
assert!(p.is_on_curve());
assert!(p.is_in_correct_subgroup_assuming_on_curve());
}
}
}