halo2/halo2_proofs/src/poly.rs

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//! Contains utilities for performing arithmetic over univariate polynomials in
//! various forms, including computing commitments to them and provably opening
//! the committed polynomials at arbitrary points.
use crate::arithmetic::parallelize;
use crate::plonk::Assigned;
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use group::ff::{BatchInvert, Field};
use pasta_curves::arithmetic::FieldExt;
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use std::fmt::Debug;
use std::marker::PhantomData;
use std::ops::{Add, Deref, DerefMut, Index, IndexMut, Mul, RangeFrom, RangeFull};
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pub mod commitment;
mod domain;
mod evaluator;
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pub mod multiopen;
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pub use domain::*;
pub use evaluator::*;
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/// This is an error that could occur during proving or circuit synthesis.
// TODO: these errors need to be cleaned up
#[derive(Debug)]
pub enum Error {
/// OpeningProof is not well-formed
OpeningError,
/// Caller needs to re-sample a point
SamplingError,
}
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/// The basis over which a polynomial is described.
pub trait Basis: Copy + Debug + Send + Sync {}
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/// The polynomial is defined as coefficients
#[derive(Clone, Copy, Debug)]
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pub struct Coeff;
impl Basis for Coeff {}
/// The polynomial is defined as coefficients of Lagrange basis polynomials
#[derive(Clone, Copy, Debug)]
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pub struct LagrangeCoeff;
impl Basis for LagrangeCoeff {}
/// The polynomial is defined as coefficients of Lagrange basis polynomials in
/// an extended size domain which supports multiplication
#[derive(Clone, Copy, Debug)]
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pub struct ExtendedLagrangeCoeff;
impl Basis for ExtendedLagrangeCoeff {}
/// Represents a univariate polynomial defined over a field and a particular
/// basis.
#[derive(Clone, Debug)]
pub struct Polynomial<F, B> {
values: Vec<F>,
_marker: PhantomData<B>,
}
impl<F, B> Index<usize> for Polynomial<F, B> {
type Output = F;
fn index(&self, index: usize) -> &F {
self.values.index(index)
}
}
impl<F, B> IndexMut<usize> for Polynomial<F, B> {
fn index_mut(&mut self, index: usize) -> &mut F {
self.values.index_mut(index)
}
}
impl<F, B> Index<RangeFrom<usize>> for Polynomial<F, B> {
type Output = [F];
fn index(&self, index: RangeFrom<usize>) -> &[F] {
self.values.index(index)
}
}
impl<F, B> IndexMut<RangeFrom<usize>> for Polynomial<F, B> {
fn index_mut(&mut self, index: RangeFrom<usize>) -> &mut [F] {
self.values.index_mut(index)
}
}
impl<F, B> Index<RangeFull> for Polynomial<F, B> {
type Output = [F];
fn index(&self, index: RangeFull) -> &[F] {
self.values.index(index)
}
}
impl<F, B> IndexMut<RangeFull> for Polynomial<F, B> {
fn index_mut(&mut self, index: RangeFull) -> &mut [F] {
self.values.index_mut(index)
}
}
impl<F, B> Deref for Polynomial<F, B> {
type Target = [F];
fn deref(&self) -> &[F] {
&self.values[..]
}
}
impl<F, B> DerefMut for Polynomial<F, B> {
fn deref_mut(&mut self) -> &mut [F] {
&mut self.values[..]
}
}
impl<F, B> Polynomial<F, B> {
/// Iterate over the values, which are either in coefficient or evaluation
/// form depending on the basis `B`.
pub fn iter(&self) -> impl Iterator<Item = &F> {
self.values.iter()
}
/// Iterate over the values mutably, which are either in coefficient or
/// evaluation form depending on the basis `B`.
pub fn iter_mut(&mut self) -> impl Iterator<Item = &mut F> {
self.values.iter_mut()
}
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/// Gets the size of this polynomial in terms of the number of
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/// coefficients used to describe it.
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pub fn num_coeffs(&self) -> usize {
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self.values.len()
}
}
pub(crate) fn batch_invert_assigned<F: FieldExt>(
assigned: Vec<Polynomial<Assigned<F>, LagrangeCoeff>>,
) -> Vec<Polynomial<F, LagrangeCoeff>> {
let mut assigned_denominators: Vec<_> = assigned
.iter()
.map(|f| {
f.iter()
.map(|value| value.denominator())
.collect::<Vec<_>>()
})
.collect();
assigned_denominators
.iter_mut()
.flat_map(|f| {
f.iter_mut()
// If the denominator is trivial, we can skip it, reducing the
// size of the batch inversion.
.filter_map(|d| d.as_mut())
})
.batch_invert();
assigned
.iter()
.zip(assigned_denominators.into_iter())
.map(|(poly, inv_denoms)| {
poly.invert(inv_denoms.into_iter().map(|d| d.unwrap_or_else(F::one)))
})
.collect()
}
impl<F: Field> Polynomial<Assigned<F>, LagrangeCoeff> {
pub(crate) fn invert(
&self,
inv_denoms: impl Iterator<Item = F> + ExactSizeIterator,
) -> Polynomial<F, LagrangeCoeff> {
assert_eq!(inv_denoms.len(), self.values.len());
Polynomial {
values: self
.values
.iter()
.zip(inv_denoms.into_iter())
.map(|(a, inv_den)| a.numerator() * inv_den)
.collect(),
_marker: self._marker,
}
}
}
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impl<'a, F: Field, B: Basis> Add<&'a Polynomial<F, B>> for Polynomial<F, B> {
type Output = Polynomial<F, B>;
fn add(mut self, rhs: &'a Polynomial<F, B>) -> Polynomial<F, B> {
parallelize(&mut self.values, |lhs, start| {
for (lhs, rhs) in lhs.iter_mut().zip(rhs.values[start..].iter()) {
*lhs += *rhs;
}
});
self
}
}
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impl<F: Field> Polynomial<F, LagrangeCoeff> {
/// Rotates the values in a Lagrange basis polynomial by `Rotation`
pub fn rotate(&self, rotation: Rotation) -> Polynomial<F, LagrangeCoeff> {
let mut values = self.values.clone();
if rotation.0 < 0 {
values.rotate_right((-rotation.0) as usize);
} else {
values.rotate_left(rotation.0 as usize);
}
Polynomial {
values,
_marker: PhantomData,
}
}
}
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impl<F: Field, B: Basis> Mul<F> for Polynomial<F, B> {
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type Output = Polynomial<F, B>;
fn mul(mut self, rhs: F) -> Polynomial<F, B> {
parallelize(&mut self.values, |lhs, _| {
for lhs in lhs.iter_mut() {
*lhs *= rhs;
}
});
self
}
}
/// Describes the relative rotation of a vector. Negative numbers represent
/// reverse (leftmost) rotations and positive numbers represent forward (rightmost)
/// rotations. Zero represents no rotation.
#[derive(Copy, Clone, Debug, PartialEq)]
pub struct Rotation(pub i32);
impl Rotation {
/// The current location in the evaluation domain
pub fn cur() -> Rotation {
Rotation(0)
}
/// The previous location in the evaluation domain
pub fn prev() -> Rotation {
Rotation(-1)
}
/// The next location in the evaluation domain
pub fn next() -> Rotation {
Rotation(1)
}
}