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https://github.com/logos-storage/plonky2.git
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Working bit-reversed version
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@ -38,13 +38,13 @@ impl Hash for CrandallField {
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impl Display for CrandallField {
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fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result {
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Display::fmt(&self.0, f)
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Display::fmt(&self.to_canonical_u64(), f)
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}
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}
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impl Debug for CrandallField {
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fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result {
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Debug::fmt(&self.0, f)
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Debug::fmt(&self.to_canonical_u64(), f)
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}
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}
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142
src/fri.rs
142
src/fri.rs
@ -2,13 +2,13 @@ use crate::field::fft::fft;
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use crate::field::field::Field;
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use crate::field::lagrange::{barycentric_weights, interpolate};
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use crate::hash::hash_n_to_1;
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use crate::merkle_proofs::verify_merkle_proof_subtree;
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use crate::merkle_proofs::{verify_merkle_proof, verify_merkle_proof_subtree};
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use crate::merkle_tree::MerkleTree;
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use crate::plonk_challenger::Challenger;
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use crate::plonk_common::reduce_with_powers;
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use crate::polynomial::polynomial::{PolynomialCoeffs, PolynomialValues};
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use crate::proof::{FriProof, FriQueryRound, FriQueryStep, Hash};
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use crate::util::{log2_strict, reverse_bits};
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use crate::util::{log2_strict, reverse_bits, reverse_index_bits_in_place};
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use anyhow::{ensure, Result};
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/// Somewhat arbitrary. Smaller values will increase delta, but with diminishing returns,
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@ -93,18 +93,28 @@ fn fri_committed_trees<F: Field>(
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challenger: &mut Challenger<F>,
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config: &FriConfig,
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) -> (Vec<MerkleTree<F>>, PolynomialCoeffs<F>) {
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let mut trees = vec![MerkleTree::new(
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polynomial_values.values.iter().map(|&v| vec![v]).collect(),
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true,
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)];
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let mut values = polynomial_values.clone();
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let mut coeffs = polynomial_coeffs.clone();
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let mut values;
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challenger.observe_hash(&trees[0].root);
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let mut trees = Vec::new();
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let num_reductions = config.reduction_arity_bits.len();
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for i in 0..num_reductions {
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let arity = 1 << config.reduction_arity_bits[i];
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reverse_index_bits_in_place(&mut values.values);
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let tree = MerkleTree::new(
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values
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.values
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.chunks(arity)
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.map(|chunk| chunk.to_vec())
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.collect(),
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false,
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);
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challenger.observe_hash(&tree.root);
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trees.push(tree);
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let beta = challenger.get_challenge();
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// P(x) = sum_{i<r} x^i * P_i(x^r) becomes sum_{i<r} beta^i * P_i(x).
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coeffs = PolynomialCoeffs::new(
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@ -114,17 +124,9 @@ fn fri_committed_trees<F: Field>(
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.map(|chunk| reduce_with_powers(chunk, beta))
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.collect::<Vec<_>>(),
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);
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if i == num_reductions - 1 {
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// We don't need a Merkle root for the final polynomial, since we send its
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// coefficients directly to the verifier.
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break;
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}
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values = fft(coeffs.clone());
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let tree = MerkleTree::new(values.values.iter().map(|&v| vec![v]).collect(), true);
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challenger.observe_hash(&tree.root);
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trees.push(tree);
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}
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challenger.observe_elements(&coeffs.coeffs);
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(trees, coeffs)
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}
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@ -180,11 +182,11 @@ fn fri_prover_query_rounds<F: Field>(
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config: &FriConfig,
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) -> Vec<FriQueryRound<F>> {
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(0..config.num_query_rounds)
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.map(|_| fri_query_round(trees, challenger, n, config))
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.map(|_| fri_prover_query_round(trees, challenger, n, config))
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.collect()
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}
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fn fri_query_round<F: Field>(
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fn fri_prover_query_round<F: Field>(
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trees: &[MerkleTree<F>],
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challenger: &mut Challenger<F>,
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n: usize,
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@ -200,22 +202,17 @@ fn fri_query_round<F: Field>(
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let arity = 1 << arity_bits;
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let next_domain_size = domain_size >> arity_bits;
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x_index %= domain_size;
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let roots_coset_indices = coset_indices(x_index, next_domain_size, domain_size, arity);
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let evals = if i == 0 {
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// For the first layer, we need to send the evaluation at `x` too.
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roots_coset_indices
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.iter()
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.map(|&index| tree.get(index)[0])
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.collect()
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tree.get(x_index >> arity_bits).to_vec()
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} else {
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// For the other layers, we don't need to send the evaluation at `x`, since it can
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// be inferred by the verifier. See the `compute_evaluation` function.
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roots_coset_indices[1..]
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.iter()
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.map(|&index| tree.get(index)[0])
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.collect()
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let mut evals = tree.get(x_index >> arity_bits).to_vec();
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evals.remove(x_index & (arity - 1));
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evals
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};
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let merkle_proof = tree.prove_subtree(x_index & (next_domain_size - 1), arity_bits);
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let merkle_proof = tree.prove(x_index >> arity_bits);
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query_steps.push(FriQueryStep {
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evals,
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@ -223,32 +220,34 @@ fn fri_query_round<F: Field>(
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});
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domain_size = next_domain_size;
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x_index >>= arity_bits;
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}
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FriQueryRound { steps: query_steps }
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}
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/// Returns the indices in the domain of all `y` in `F` with `y^arity=x^arity`, starting with `x` itself.
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fn coset_indices(
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x_index: usize,
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next_domain_size: usize,
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domain_size: usize,
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arity: usize,
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) -> Vec<usize> {
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(0..arity)
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.map(|i| (i * next_domain_size + x_index) % domain_size)
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.collect()
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}
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/// Computes P'(x^arity) from {P(x*g^i)}_(i=0..arity), where g is a `arity`-th root of unity
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/// and P' is the FRI reduced polynomial.
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fn compute_evaluation<F: Field>(x: F, arity_bits: usize, last_evals: &[F], beta: F) -> F {
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fn compute_evaluation<F: Field>(
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x: F,
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old_x_index: usize,
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arity_bits: usize,
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last_evals: &[F],
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beta: F,
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) -> F {
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debug_assert_eq!(last_evals.len(), 1 << arity_bits);
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// The answer is gotten by interpolating {(x*g^i, P(x*g^i))} and evaluating at beta.
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let g = F::primitive_root_of_unity(arity_bits);
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// The evaluation vector needs to be reordered first.
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let mut evals = last_evals.to_vec();
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reverse_index_bits_in_place(&mut evals);
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evals.rotate_left(reverse_bits(old_x_index, arity_bits));
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// The answer is gotten by interpolating {(x*g^i, P(x*g^i))} and evaluating at beta.
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let points = g
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.powers()
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.zip(last_evals)
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.map(|(y, &e)| (x * y, e))
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.zip(evals.into_iter())
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.map(|(y, e)| (x * y, e))
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.collect::<Vec<_>>();
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let barycentric_weights = barycentric_weights(&points);
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interpolate(&points, beta, &barycentric_weights)
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@ -313,11 +312,13 @@ fn fri_verifier_query_round<F: Field>(
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let x = challenger.get_challenge();
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let mut domain_size = n;
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let mut x_index = x.to_canonical_u64() as usize;
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let mut old_x_index = 0;
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// `subgroup_x` is `subgroup[x_index]`, i.e., the actual field element in the domain.
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let mut subgroup_x = F::primitive_root_of_unity(log2_strict(n)).exp_usize(x_index % n);
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let log_n = log2_strict(n);
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let mut subgroup_x =
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F::primitive_root_of_unity(log_n).exp_usize(reverse_bits(x_index % n, log_n));
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for (i, &arity_bits) in config.reduction_arity_bits.iter().enumerate() {
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let arity = 1 << arity_bits;
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x_index %= domain_size;
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let next_domain_size = domain_size >> arity_bits;
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if i == 0 {
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let evals = round_proof.steps[0].evals.clone();
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@ -327,33 +328,22 @@ fn fri_verifier_query_round<F: Field>(
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// Infer P(y) from {P(x)}_{x^arity=y}.
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let e_x = compute_evaluation(
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subgroup_x,
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old_x_index,
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config.reduction_arity_bits[i - 1],
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last_evals,
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betas[i - 1],
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);
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let mut evals = round_proof.steps[i].evals.clone();
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// Insert P(y) into the evaluation vector, since it wasn't included by the prover.
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evals.insert(0, e_x);
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evals.insert(x_index & (arity - 1), e_x);
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evaluations.push(evals);
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};
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let sorted_evals = {
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let roots_coset_indices = coset_indices(x_index, next_domain_size, domain_size, arity);
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let mut sorted_evals_enumerate = evaluations[i].iter().enumerate().collect::<Vec<_>>();
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// We need to sort the evaluations so that they match their order in the Merkle tree.
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sorted_evals_enumerate.sort_by_key(|&(j, _)| {
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reverse_bits(roots_coset_indices[j], log2_strict(domain_size))
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});
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sorted_evals_enumerate
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.into_iter()
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.map(|(_, &e)| vec![e])
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.collect()
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};
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verify_merkle_proof_subtree(
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sorted_evals,
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x_index & (next_domain_size - 1),
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verify_merkle_proof(
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evaluations[i].clone(),
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x_index >> arity_bits,
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proof.commit_phase_merkle_roots[i],
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&round_proof.steps[i].merkle_proof,
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true,
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false,
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)?;
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if i > 0 {
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@ -363,12 +353,15 @@ fn fri_verifier_query_round<F: Field>(
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}
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}
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domain_size = next_domain_size;
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old_x_index = x_index;
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x_index >>= arity_bits;
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}
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let last_evals = evaluations.last().unwrap();
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let final_arity_bits = *config.reduction_arity_bits.last().unwrap();
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let purported_eval = compute_evaluation(
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subgroup_x,
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old_x_index,
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final_arity_bits,
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last_evals,
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*betas.last().unwrap(),
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@ -393,6 +386,7 @@ mod tests {
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use crate::field::crandall_field::CrandallField;
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use crate::field::fft::ifft;
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use anyhow::Result;
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use rand::rngs::ThreadRng;
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use rand::Rng;
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fn test_fri(
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@ -421,8 +415,7 @@ mod tests {
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Ok(())
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}
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fn gen_arities(degree_log: usize) -> Vec<usize> {
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let mut rng = rand::thread_rng();
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fn gen_arities(degree_log: usize, rng: &mut ThreadRng) -> Vec<usize> {
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let mut arities = Vec::new();
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let mut remaining = degree_log;
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while remaining > 0 {
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@ -435,15 +428,18 @@ mod tests {
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#[test]
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fn test_fri_multi_params() -> Result<()> {
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let mut rng = rand::thread_rng();
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for degree_log in 1..6 {
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for rate_bits in 0..4 {
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for rate_bits in 0..3 {
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for num_query_round in 0..4 {
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test_fri(
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degree_log,
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rate_bits,
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gen_arities(degree_log),
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num_query_round,
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)?;
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for _ in 0..3 {
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test_fri(
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degree_log,
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rate_bits,
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gen_arities(degree_log, &mut rng),
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num_query_round,
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)?;
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}
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}
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}
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}
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