chip::generator_table.rs: Load Sinsemilla generator lookup table.

The 2^K table of generators used in the Sinsemilla hash. These
are loaded into a lookup table.
This commit is contained in:
therealyingtong 2021-06-19 11:20:15 +08:00
parent ebb7dae063
commit 74e617b46d
3 changed files with 139 additions and 7 deletions

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@ -23,9 +23,9 @@ use pasta_curves::pallas;
use std::convert::TryInto;
// mod generator_table;
// pub use generator_table::get_s_by_idx;
// use generator_table::GeneratorTableConfig;
mod generator_table;
pub use generator_table::get_s_by_idx;
use generator_table::GeneratorTableConfig;
// mod hash_to_point;
@ -54,6 +54,9 @@ pub struct SinsemillaConfig {
// Advice column used to store the lambda_2 intermediate value at each
// iteration.
lambda_2: Column<Advice>,
// The lookup table where (idx, x_p, y_p) are loaded for the 2^K generators
// of the Sinsemilla hash.
generator_table: GeneratorTableConfig,
// Fixed column shared by the whole circuit. This is used to load the
// x-coordinate of the domain Q, which is then constrained to equal the
// initial x_a.
@ -89,7 +92,8 @@ impl SinsemillaChip {
config: SinsemillaConfig,
layouter: &mut impl Layouter<pallas::Base>,
) -> Result<<Self as Chip<pallas::Base>>::Loaded, Error> {
todo!()
// Load the lookup table.
config.generator_table.load(layouter)
}
#[allow(clippy::too_many_arguments)]

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@ -0,0 +1,127 @@
use crate::primitives::sinsemilla::{self, sinsemilla_s_generators, S_PERSONALIZATION};
use halo2::{
circuit::Layouter,
plonk::{Column, ConstraintSystem, Error, Expression, Fixed},
poly::Rotation,
};
use pasta_curves::{
arithmetic::{CurveAffine, CurveExt, FieldExt},
pallas,
};
use group::Curve;
/// Table containing independent generators S[0..2^k]
#[derive(Eq, PartialEq, Copy, Clone, Debug)]
pub struct GeneratorTableConfig {
table_idx: Column<Fixed>,
table_x: Column<Fixed>,
table_y: Column<Fixed>,
}
impl GeneratorTableConfig {
#[allow(clippy::too_many_arguments)]
#[allow(non_snake_case)]
// Even though the lookup table can be used in other parts of the circuit,
// this specific configuration sets up Sinsemilla-specific constraints
// controlled by `q_sinsemilla`, and would likely not apply to other chips.
pub fn configure(meta: &mut ConstraintSystem<pallas::Base>, config: super::SinsemillaConfig) {
let (table_idx, table_x, table_y) = (
config.generator_table.table_idx,
config.generator_table.table_x,
config.generator_table.table_y,
);
meta.lookup(|meta| {
let q_s1 = meta.query_selector(config.q_sinsemilla1);
let q_s2 = meta.query_fixed(config.q_sinsemilla2, Rotation::cur());
let table_idx_cur = meta.query_fixed(table_idx, Rotation::cur());
let table_x_cur = meta.query_fixed(table_x, Rotation::cur());
let table_y_cur = meta.query_fixed(table_y, Rotation::cur());
// m_{i+1} = z_{i} - 2^K * q_s2 * z_{i + 1}
// Note that the message words m_i's are 1-indexed while the
// running sum z_i's are 0-indexed.
let word = {
let z_cur = meta.query_advice(config.bits, Rotation::cur());
let z_next = meta.query_advice(config.bits, Rotation::next());
z_cur - (q_s2 * z_next * pallas::Base::from_u64(1 << sinsemilla::K))
};
let x_p = meta.query_advice(config.x_p, Rotation::cur());
// y_{p,i} = (Y_{A,i} / 2) - lambda1 * (x_{A,i} - x_{R,i}),
// where Y_{A,i} = (lambda1_i + lambda2_i) * (x_{A,i} - x_{R,i}),
// x_{R,i} = lambda1^2 - x_{A,i} - x_{P,i}
//
let y_p = {
let lambda1 = meta.query_advice(config.lambda_1, Rotation::cur());
let lambda2 = meta.query_advice(config.lambda_2, Rotation::cur());
let x_a = meta.query_advice(config.x_a, Rotation::cur());
let x_r = lambda1.clone().square() - x_a.clone() - x_p.clone();
let Y_A = (lambda1.clone() + lambda2) * (x_a.clone() - x_r.clone());
(Y_A * pallas::Base::TWO_INV) * (lambda1 * (x_a - x_r))
};
// Lookup expressions default to the first entry when `q_s1`
// is not enabled.
let (init_x, init_y) = {
let init_p = get_s_by_idx(0).to_affine().coordinates().unwrap();
(*init_p.x(), *init_p.y())
};
let not_q_s1 = Expression::Constant(pallas::Base::one()) - q_s1.clone();
let m = q_s1.clone() * word; // The first table index is 0.
let x_p = q_s1.clone() * x_p + not_q_s1.clone() * init_x;
let y_p = q_s1 * y_p + not_q_s1 * init_y;
vec![(m, table_idx_cur), (x_p, table_x_cur), (y_p, table_y_cur)]
});
}
pub fn load(&self, layouter: &mut impl Layouter<pallas::Base>) -> Result<(), Error> {
layouter.assign_region(
|| "generator_table",
|mut gate| {
// We generate the row values lazily (we only need them during keygen).
let mut rows = sinsemilla_s_generators();
for index in 0..(1 << sinsemilla::K) {
let mut row = None;
gate.assign_fixed(
|| "table_idx",
self.table_idx,
index,
|| {
row = rows.next();
Ok(pallas::Base::from_u64(index as u64))
},
)?;
gate.assign_fixed(
|| "table_x",
self.table_x,
index,
|| row.map(|(x, _)| x).ok_or(Error::SynthesisError),
)?;
gate.assign_fixed(
|| "table_y",
self.table_y,
index,
|| row.map(|(_, y)| y).ok_or(Error::SynthesisError),
)?;
}
Ok(())
},
)
}
}
/// Get generator S by index
pub fn get_s_by_idx(idx: u32) -> pallas::Point {
let hash = pallas::Point::hash_to_curve(S_PERSONALIZATION);
hash(&idx.to_le_bytes())
}

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@ -1,6 +1,7 @@
//! Sinsemilla generators
use group::Curve;
use halo2::arithmetic::{CurveAffine, CurveExt};
use pasta_curves::pallas;
/// Number of bits of each message piece in $\mathsf{SinsemillaHashToPoint}$
pub const K: usize = 10;
@ -62,8 +63,8 @@ pub const Q_MERKLE_CRH: ([u8; 32], [u8; 32]) = (
pub const S_PERSONALIZATION: &str = "z.cash:SinsemillaS";
/// Creates the Sinsemilla S generators used in each round of the Sinsemilla hash
pub fn sinsemilla_s_generators<C: CurveAffine>() -> impl Iterator<Item = (C::Base, C::Base)> {
let hasher = C::CurveExt::hash_to_curve(S_PERSONALIZATION);
pub fn sinsemilla_s_generators() -> impl Iterator<Item = (pallas::Base, pallas::Base)> {
let hasher = pallas::Point::hash_to_curve(S_PERSONALIZATION);
(0..(1u32 << K)).map(move |j| {
let point = hasher(&j.to_le_bytes()).to_affine().coordinates().unwrap();
(*point.x(), *point.y())
@ -84,7 +85,7 @@ mod tests {
#[test]
fn sinsemilla_s() {
use super::super::sinsemilla_s::SINSEMILLA_S;
let sinsemilla_s: Vec<_> = sinsemilla_s_generators::<pallas::Affine>().collect();
let sinsemilla_s: Vec<_> = sinsemilla_s_generators().collect();
assert_eq!(sinsemilla_s.len(), SINSEMILLA_S.len());
for (expected, actual) in sinsemilla_s.iter().zip(&SINSEMILLA_S[..]) {
assert_eq!(expected, actual);