mirror of
https://github.com/logos-storage/plonky2.git
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* Refactor GMiMC code Adds a sub-trait of `Field` called `GMiMCInterface`, which is similar to `PoseidonInterface`. This lets us have different fields with different GMiMC constants in a type-safe way. * Remove `Interface` * Const generic for width
175 lines
5.5 KiB
Rust
175 lines
5.5 KiB
Rust
use crate::field::extension_field::target::ExtensionTarget;
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use crate::field::extension_field::Extendable;
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use crate::field::field_types::{Field, RichField};
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use crate::fri::commitment::SALT_SIZE;
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use crate::iop::target::Target;
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use crate::plonk::circuit_builder::CircuitBuilder;
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use crate::util::reducing::ReducingFactorTarget;
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/// Holds the Merkle tree index and blinding flag of a set of polynomials used in FRI.
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#[derive(Debug, Copy, Clone)]
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pub struct PolynomialsIndexBlinding {
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pub(crate) index: usize,
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pub(crate) blinding: bool,
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}
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impl PolynomialsIndexBlinding {
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pub fn salt_size(&self, zero_knowledge: bool) -> usize {
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if zero_knowledge & self.blinding {
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SALT_SIZE
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} else {
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0
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}
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}
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}
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/// Holds the indices and blinding flags of the Plonk polynomials.
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pub struct PlonkPolynomials;
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impl PlonkPolynomials {
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pub const CONSTANTS_SIGMAS: PolynomialsIndexBlinding = PolynomialsIndexBlinding {
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index: 0,
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blinding: false,
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};
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pub const WIRES: PolynomialsIndexBlinding = PolynomialsIndexBlinding {
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index: 1,
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blinding: true,
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};
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pub const ZS_PARTIAL_PRODUCTS: PolynomialsIndexBlinding = PolynomialsIndexBlinding {
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index: 2,
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blinding: true,
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};
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pub const QUOTIENT: PolynomialsIndexBlinding = PolynomialsIndexBlinding {
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index: 3,
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blinding: true,
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};
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#[cfg(test)]
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pub fn polynomials(i: usize) -> PolynomialsIndexBlinding {
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match i {
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0 => Self::CONSTANTS_SIGMAS,
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1 => Self::WIRES,
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2 => Self::ZS_PARTIAL_PRODUCTS,
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3 => Self::QUOTIENT,
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_ => panic!("There are only 4 sets of polynomials in Plonk."),
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}
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}
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}
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/// Evaluate the polynomial which vanishes on any multiplicative subgroup of a given order `n`.
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pub(crate) fn eval_zero_poly<F: Field>(n: usize, x: F) -> F {
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// Z(x) = x^n - 1
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x.exp_u64(n as u64) - F::ONE
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}
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/// Precomputations of the evaluation of `Z_H(X) = X^n - 1` on a coset `gK` with `H <= K`.
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pub(crate) struct ZeroPolyOnCoset<F: Field> {
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/// `n = |H|`.
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n: F,
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/// `rate = |K|/|H|`.
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rate: usize,
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/// Holds `g^n * (w^n)^i - 1 = g^n * v^i - 1` for `i in 0..rate`, with `w` a generator of `K` and `v` a
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/// `rate`-primitive root of unity.
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evals: Vec<F>,
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/// Holds the multiplicative inverses of `evals`.
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inverses: Vec<F>,
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}
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impl<F: Field> ZeroPolyOnCoset<F> {
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pub fn new(n_log: usize, rate_bits: usize) -> Self {
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let g_pow_n = F::coset_shift().exp_power_of_2(n_log);
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let evals = F::two_adic_subgroup(rate_bits)
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.into_iter()
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.map(|x| g_pow_n * x - F::ONE)
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.collect::<Vec<_>>();
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let inverses = F::batch_multiplicative_inverse(&evals);
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Self {
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n: F::from_canonical_usize(1 << n_log),
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rate: 1 << rate_bits,
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evals,
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inverses,
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}
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}
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/// Returns `Z_H(g * w^i)`.
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pub fn eval(&self, i: usize) -> F {
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self.evals[i % self.rate]
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}
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/// Returns `1 / Z_H(g * w^i)`.
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pub fn eval_inverse(&self, i: usize) -> F {
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self.inverses[i % self.rate]
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}
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/// Returns `L_1(x) = Z_H(x)/(n * (x - 1))` with `x = w^i`.
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pub fn eval_l1(&self, i: usize, x: F) -> F {
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// Could also precompute the inverses using Montgomery.
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self.eval(i) * (self.n * (x - F::ONE)).inverse()
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}
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}
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/// Evaluate the Lagrange basis `L_1` with `L_1(1) = 1`, and `L_1(x) = 0` for other members of an
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/// order `n` multiplicative subgroup.
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pub(crate) fn eval_l_1<F: Field>(n: usize, x: F) -> F {
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if x.is_one() {
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// The code below would divide by zero, since we have (x - 1) in both the numerator and
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// denominator.
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return F::ONE;
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}
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// L_1(x) = (x^n - 1) / (n * (x - 1))
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// = Z(x) / (n * (x - 1))
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eval_zero_poly(n, x) / (F::from_canonical_usize(n) * (x - F::ONE))
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}
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/// Evaluates the Lagrange basis L_1(x), which has L_1(1) = 1 and vanishes at all other points in
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/// the order-`n` subgroup.
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///
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/// Assumes `x != 1`; if `x` could be 1 then this is unsound.
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pub(crate) fn eval_l_1_recursively<F: RichField + Extendable<D>, const D: usize>(
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builder: &mut CircuitBuilder<F, D>,
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n: usize,
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x: ExtensionTarget<D>,
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x_pow_n: ExtensionTarget<D>,
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) -> ExtensionTarget<D> {
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// L_1(x) = (x^n - 1) / (n * (x - 1))
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// = Z(x) / (n * (x - 1))
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let one = builder.one_extension();
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let neg_one = builder.neg_one();
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let neg_one = builder.convert_to_ext(neg_one);
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let eval_zero_poly = builder.sub_extension(x_pow_n, one);
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let denominator = builder.arithmetic_extension(
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F::from_canonical_usize(n),
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F::from_canonical_usize(n),
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x,
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one,
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neg_one,
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);
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builder.div_extension(eval_zero_poly, denominator)
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}
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/// For each alpha in alphas, compute a reduction of the given terms using powers of alpha.
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pub(crate) fn reduce_with_powers_multi<F: Field>(terms: &[F], alphas: &[F]) -> Vec<F> {
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alphas
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.iter()
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.map(|&alpha| reduce_with_powers(terms, alpha))
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.collect()
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}
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pub(crate) fn reduce_with_powers<F: Field>(terms: &[F], alpha: F) -> F {
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let mut sum = F::ZERO;
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for &term in terms.iter().rev() {
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sum = sum * alpha + term;
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}
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sum
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}
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pub(crate) fn reduce_with_powers_ext_recursive<F: RichField + Extendable<D>, const D: usize>(
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builder: &mut CircuitBuilder<F, D>,
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terms: &[ExtensionTarget<D>],
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alpha: Target,
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) -> ExtensionTarget<D> {
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let alpha = builder.convert_to_ext(alpha);
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let mut alpha = ReducingFactorTarget::new(alpha);
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alpha.reduce(terms, builder)
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}
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