chip::hash_to_point.rs: Implement hash_to_point instruction.

This commit is contained in:
therealyingtong 2021-06-19 14:57:42 +08:00
parent f122e481a7
commit eba2172f4f
3 changed files with 473 additions and 3 deletions

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@ -27,7 +27,7 @@ mod generator_table;
pub use generator_table::get_s_by_idx;
use generator_table::GeneratorTableConfig;
// mod hash_to_point;
mod hash_to_point;
/// Configuration for the Sinsemilla hash chip
#[derive(Eq, PartialEq, Clone, Debug)]
@ -330,7 +330,10 @@ impl SinsemillaInstructions<pallas::Affine, { sinsemilla::K }, { sinsemilla::C }
Q: pallas::Affine,
message: Self::Message,
) -> Result<(Self::Point, Vec<Vec<Self::CellValue>>), Error> {
todo!()
layouter.assign_region(
|| "hash_to_point",
|mut region| self.hash_message(&mut region, Q, &message),
)
}
fn extract(point: &Self::Point) -> Self::X {

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@ -0,0 +1,467 @@
use super::super::SinsemillaInstructions;
use super::{get_s_by_idx, CellValue, EccPoint, SinsemillaChip, Var};
use crate::{
circuit::gadget::utilities::copy,
primitives::sinsemilla::{self, lebs2ip_k, INV_TWO_POW_K},
};
use halo2::{
circuit::{Chip, Region},
plonk::Error,
};
use ff::{Field, PrimeFieldBits};
use group::Curve;
use pasta_curves::{
arithmetic::{CurveAffine, FieldExt},
pallas,
};
use std::ops::Deref;
impl SinsemillaChip {
#[allow(non_snake_case)]
#[allow(clippy::type_complexity)]
pub(super) fn hash_message(
&self,
region: &mut Region<'_, pallas::Base>,
Q: pallas::Affine,
message: &<Self as SinsemillaInstructions<
pallas::Affine,
{ sinsemilla::K },
{ sinsemilla::C },
>>::Message,
) -> Result<(EccPoint, Vec<Vec<CellValue<pallas::Base>>>), Error> {
let config = self.config().clone();
let mut offset = 0;
// Get the `x`- and `y`-coordinates of the starting `Q` base.
let x_q = *Q.coordinates().unwrap().x();
let y_q = *Q.coordinates().unwrap().y();
// Initialize the accumulator to `Q`.
let (mut x_a, mut y_a): (X<pallas::Base>, Y<pallas::Base>) = {
// Constrain the initial x_q to equal the x-coordinate of the domain's `Q`.
let fixed_x_q =
region.assign_fixed(|| "fixed x_q", config.constants, offset, || Ok(x_q))?;
let x_q_cell = region.assign_advice(|| "x_q", config.x_a, offset, || Ok(x_q))?;
region.constrain_equal(&config.perm, fixed_x_q, x_q_cell)?;
// This cell gets copied into itself by the first call to `hash_piece` below.
let x_a = CellValue::new(x_q_cell, Some(x_q));
// Constrain the initial x_a, lambda_1, lambda_2, x_p using the fixed y_q
// initializer.
region.assign_fixed(|| "fixed y_q", config.fixed_y_q, offset, || Ok(y_q))?;
let y_a = Some(y_q);
(x_a.into(), y_a.into())
};
let mut zs_sum: Vec<Vec<CellValue<pallas::Base>>> = Vec::new();
// Hash each piece in the message except the final piece.
for piece in message[0..(message.len() - 1)].iter() {
// The value of the accumulator after this piece is processed.
let (x, y, zs, _) = self.hash_piece(region, offset, piece, x_a, y_a)?;
// Since each message word takes one row to process, we increase
// the offset by `piece.num_words` on each iteration.
offset += piece.num_words();
// Update the accumulator to the latest value.
x_a = x;
y_a = y;
zs_sum.push(zs);
}
// Hash the final message piece.
let y_a = {
let piece = &message[message.len() - 1];
// The value of the accumulator after this piece is processed.
let (x, y, mut zs, z_n) = self.hash_piece(region, offset, piece, x_a, y_a)?;
// Since each message word takes one row to process, we increase
// the offset by `piece.num_words` on each iteration.
offset += piece.num_words();
// Assign the final z_n
let z_n = {
let cell = region.assign_advice(
|| "z_n",
config.bits,
offset,
|| z_n.ok_or(Error::SynthesisError),
)?;
CellValue::new(cell, z_n)
};
// The last piece of a message will return the message's final `z_n`.
zs.push(z_n);
// Update the accumulator to the latest value.
x_a = x;
y_a = y;
zs_sum.push(zs);
// Assign and constrain the final `y_a`.
region.assign_fixed(
|| "qs_2 = 2 on final row",
config.q_sinsemilla2,
offset - 1,
|| Ok(pallas::Base::from_u64(2)),
)?;
let y_a_cell = region.assign_advice(
|| "y_a",
config.lambda_1,
offset,
|| y_a.ok_or(Error::SynthesisError),
)?;
// Assign lambda_2 and x_p zero values since they are queried
// in the gate.
{
region.assign_advice(
|| "dummy lambda2",
config.lambda_2,
offset,
|| Ok(pallas::Base::zero()),
)?;
region.assign_advice(
|| "dummy x_p",
config.x_p,
offset,
|| Ok(pallas::Base::zero()),
)?;
}
CellValue::new(y_a_cell, y_a.0)
};
#[cfg(test)]
#[allow(non_snake_case)]
// Check equivalence to result from primitives::sinsemilla::hash_to_point
{
use crate::circuit::gadget::sinsemilla::message::MessagePiece;
use crate::primitives::sinsemilla::{K, S_PERSONALIZATION};
use group::prime::PrimeCurveAffine;
use pasta_curves::arithmetic::CurveExt;
let field_elems: Option<Vec<pallas::Base>> =
message.iter().map(|piece| piece.field_elem()).collect();
if field_elems.is_some() {
// Get message as a bitstring.
let bitstring: Vec<bool> = message
.iter()
.map(|piece: &MessagePiece<pallas::Base, K>| {
piece
.field_elem()
.unwrap()
.to_le_bits()
.into_iter()
.take(K * piece.num_words())
.collect::<Vec<_>>()
})
.flatten()
.collect();
let hasher_S = pallas::Point::hash_to_curve(S_PERSONALIZATION);
let S = |chunk: &[bool]| hasher_S(&lebs2ip_k(chunk).to_le_bytes());
let expected_point = bitstring
.chunks(K)
.fold(Q.to_curve(), |acc, chunk| (acc + S(chunk)) + acc);
let actual_point =
pallas::Affine::from_xy(x_a.value().unwrap(), y_a.value().unwrap()).unwrap();
assert_eq!(expected_point.to_affine(), actual_point);
}
}
Ok((EccPoint::from_coordinates_unchecked(x_a.0, y_a), zs_sum))
}
#[allow(clippy::type_complexity)]
// Hash a message piece containing `piece.length` number of `K`-bit words.
fn hash_piece(
&self,
region: &mut Region<'_, pallas::Base>,
offset: usize,
piece: &<Self as SinsemillaInstructions<
pallas::Affine,
{ sinsemilla::K },
{ sinsemilla::C },
>>::MessagePiece,
x_a: X<pallas::Base>,
y_a: Y<pallas::Base>,
) -> Result<
(
X<pallas::Base>,
Y<pallas::Base>,
Vec<CellValue<pallas::Base>>,
Option<pallas::Base>,
),
Error,
> {
let config = self.config().clone();
// Selector assignments
{
// Enable `q_sinsemilla1` selector on every row.
for row in 0..piece.num_words() {
config.q_sinsemilla1.enable(region, offset + row)?;
}
// Set `q_sinsemilla2` fixed column to 1 on every row but the last.
for row in 0..(piece.num_words() - 1) {
region.assign_fixed(
|| "q_s2 = 1",
config.q_sinsemilla2,
offset + row,
|| Ok(pallas::Base::one()),
)?;
}
// Set `q_sinsemilla2` fixed column to 0 on the last row.
region.assign_fixed(
|| "q_s2 = 1",
config.q_sinsemilla2,
offset + piece.num_words() - 1,
|| Ok(pallas::Base::zero()),
)?;
}
// Message piece as K * piece.length bitstring
let bitstring: Option<Vec<bool>> = piece.field_elem().map(|value| {
value
.to_le_bits()
.into_iter()
.take(sinsemilla::K * piece.num_words())
.collect()
});
let words: Option<Vec<u32>> = bitstring.map(|bitstring| {
bitstring
.chunks_exact(sinsemilla::K)
.map(|word| lebs2ip_k(word))
.collect()
});
// Get (x_p, y_p) for each word. We precompute this here so that we can use `batch_normalize()`.
let generators_projective: Option<Vec<pallas::Point>> = words
.clone()
.map(|words| words.iter().map(|word| get_s_by_idx(*word)).collect());
let generators: Option<Vec<(pallas::Base, pallas::Base)>> =
generators_projective.map(|generators_projective| {
let mut generators = vec![pallas::Affine::default(); generators_projective.len()];
pallas::Point::batch_normalize(&generators_projective, &mut generators);
generators
.iter()
.map(|gen| {
let point = gen.coordinates().unwrap();
(*point.x(), *point.y())
})
.collect()
});
// Convert `words` from `Option<Vec<u32>>` to `Vec<Option<u32>>`
let words: Vec<Option<u32>> = if let Some(words) = words {
words.into_iter().map(Some).collect()
} else {
vec![None; piece.num_words()]
};
// Decompose message into `K`-bit pieces with a running sum `z`.
let (zs, z_n) = {
let mut zs = Vec::with_capacity(piece.num_words() + 1);
// Copy message and initialize running sum `z` to decompose message in-circuit
let cell = region.assign_advice(
|| "z_0 (copy of message)",
config.bits,
offset,
|| piece.field_elem().ok_or(Error::SynthesisError),
)?;
region.constrain_equal(&config.perm, piece.cell(), cell)?;
zs.push(CellValue::new(cell, piece.field_elem()));
// Assign cumulative sum such that
// z_i = 2^K * z_{i + 1} + m_{i + 1}
// => z_{i + 1} = (z_i - m_{i + 1}) / 2^K
//
// For a message m = m_1 + 2^K m_2 + ... + 2^{K(n-1)} m_n}, initialize z_0 = m.
// We end up with z_n = 0.
let mut z = piece.field_elem();
let inv_2_k = pallas::Base::from_bytes(&INV_TWO_POW_K).unwrap();
// We do not assign the final z_n.
for (idx, word) in words[0..(words.len() - 1)].iter().enumerate() {
// z_{i + 1} = (z_i - m_{i + 1}) / 2^K
z = z
.zip(*word)
.map(|(z, word)| (z - pallas::Base::from_u64(word as u64)) * inv_2_k);
let cell = region.assign_advice(
|| format!("z_{:?}", idx + 1),
config.bits,
offset + idx + 1,
|| z.ok_or(Error::SynthesisError),
)?;
zs.push(CellValue::new(cell, z))
}
let z_n = {
let word = words[words.len() - 1];
z.zip(word)
.map(|(z, word)| (z - pallas::Base::from_u64(word as u64)) * inv_2_k)
};
(zs, z_n)
};
// Copy in the accumulator x-coordinate
let mut x_a: X<pallas::Base> = copy(
region,
|| "Initialize accumulator x-coordinate",
config.x_a,
offset,
&x_a.0,
&config.perm,
)?
.into();
let mut y_a = y_a;
let generators: Vec<Option<(pallas::Base, pallas::Base)>> =
if let Some(generators) = generators {
generators.into_iter().map(Some).collect()
} else {
vec![None; piece.num_words()]
};
for (row, gen) in generators.iter().enumerate() {
let x_p = gen.map(|gen| gen.0);
let y_p = gen.map(|gen| gen.1);
// Assign `x_p`
region.assign_advice(
|| "x_p",
config.x_p,
offset + row,
|| x_p.ok_or(Error::SynthesisError),
)?;
// Compute and assign `lambda_1`
let lambda_1 = {
let lambda_1 = x_a
.value()
.zip(y_a.0)
.zip(x_p)
.zip(y_p)
.map(|(((x_a, y_a), x_p), y_p)| (y_a - y_p) * (x_a - x_p).invert().unwrap());
// Assign lambda_1
region.assign_advice(
|| "lambda_1",
config.lambda_1,
offset + row,
|| lambda_1.ok_or(Error::SynthesisError),
)?;
lambda_1
};
// Compute `x_r`
let x_r = lambda_1
.zip(x_a.value())
.zip(x_p)
.map(|((lambda_1, x_a), x_p)| lambda_1.square() - x_a - x_p);
// Compute and assign `lambda_2`
let lambda_2 = {
let lambda_2 = x_a.value().zip(y_a.0).zip(x_r).zip(lambda_1).map(
|(((x_a, y_a), x_r), lambda_1)| {
pallas::Base::from_u64(2) * y_a * (x_a - x_r).invert().unwrap() - lambda_1
},
);
region.assign_advice(
|| "lambda_2",
config.lambda_2,
offset + row,
|| lambda_2.ok_or(Error::SynthesisError),
)?;
lambda_2
};
// Compute and assign `x_a` for the next row.
let x_a_new: X<pallas::Base> = {
let x_a_new = lambda_2
.zip(x_a.value())
.zip(x_r)
.map(|((lambda_2, x_a), x_r)| lambda_2 * lambda_2 - x_a - x_r);
let x_a_cell = region.assign_advice(
|| "x_a",
config.x_a,
offset + row + 1,
|| x_a_new.ok_or(Error::SynthesisError),
)?;
CellValue::new(x_a_cell, x_a_new).into()
};
// Compute y_a for the next row.
let y_a_new: Y<pallas::Base> = lambda_2
.zip(x_a.value())
.zip(x_a_new.value())
.zip(y_a.0)
.map(|(((lambda_2, x_a), x_a_new), y_a)| lambda_2 * (x_a - x_a_new) - y_a)
.into();
// Update the mutable `x_a`, `y_a` variables.
x_a = x_a_new;
y_a = y_a_new;
}
Ok((x_a, y_a, zs, z_n))
}
}
// The x-coordinate of the accumulator in a Sinsemilla hash instance.
struct X<F: FieldExt>(CellValue<F>);
impl<F: FieldExt> From<CellValue<F>> for X<F> {
fn from(cell_value: CellValue<F>) -> Self {
X(cell_value)
}
}
impl<F: FieldExt> Deref for X<F> {
type Target = CellValue<F>;
fn deref(&self) -> &CellValue<F> {
&self.0
}
}
// The y-coordinate of the accumulator in a Sinsemilla hash instance.
// This is never actually witnessed until the last round, since it
// can be derived from other variables. Thus it only exists as a field
// element, not a `CellValue`.
struct Y<F: FieldExt>(Option<F>);
impl<F: FieldExt> From<Option<F>> for Y<F> {
fn from(value: Option<F>) -> Self {
Y(value)
}
}
impl<F: FieldExt> Deref for Y<F> {
type Target = Option<F>;
fn deref(&self) -> &Option<F> {
&self.0
}
}

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@ -14,7 +14,7 @@ mod constants;
mod sinsemilla_s;
pub use constants::*;
fn lebs2ip_k(bits: &[bool]) -> u32 {
pub(crate) fn lebs2ip_k(bits: &[bool]) -> u32 {
assert!(bits.len() == K);
bits.iter()
.enumerate()