mirror of https://github.com/zcash/halo2.git
chore: fix typos (#225)
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@ -135,7 +135,7 @@ where
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R: RngCore,
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{
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// TODO: explore if it is safe to use same challenge
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// for different sets that are already combined with anoter challenge
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// for different sets that are already combined with another challenge
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let y: ChallengeY<_> = transcript.squeeze_challenge_scalar();
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let quotient_contribution = |rotation_set: &RotationSetExtension<E::G1Affine>| {
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@ -151,7 +151,7 @@ where
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// define numerator polynomial as
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// N_i_j(X) = (P_i_j(X) - R_i_j(X))
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// and combine polynomials with same evaluation point set
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// N_i(X) = linear_combinination(y, N_i_j(X))
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// N_i(X) = linear_combination(y, N_i_j(X))
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// where y is random scalar to combine numerator polynomials
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let n_x = numerators
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.into_iter()
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@ -223,7 +223,7 @@ where
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// calculate difference vanishing polynomial evaluation
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let z_i = evaluate_vanishing_polynomial(&diffs[..], *u);
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// inner linearisation contibutions are
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// inner linearisation contributions are
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// [P_i_0(X) - r_i_0, P_i_1(X) - r_i_1, ... ] where
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// r_i_j = R_i_j(u) is the evaluation of low degree equivalent polynomial
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// where u is random evaluation point
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@ -238,8 +238,8 @@ where
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// define inner contributor polynomial as
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// L_i_j(X) = (P_i_j(X) - r_i_j)
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// and combine polynomials with same evaluation point set
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// L_i(X) = linear_combinination(y, L_i_j(X))
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// where y is random scalar to combine inner contibutors
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// L_i(X) = linear_combination(y, L_i_j(X))
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// where y is random scalar to combine inner contributors
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let l_x: Polynomial<E::Scalar, Coeff> = inner_contributions
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.into_iter()
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.zip(powers(*y))
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@ -252,7 +252,7 @@ where
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};
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#[allow(clippy::type_complexity)]
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let (linearisation_contibutions, z_diffs): (
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let (linearisation_contributions, z_diffs): (
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Vec<Polynomial<E::Scalar, Coeff>>,
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Vec<E::Scalar>,
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) = rotation_sets
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@ -260,7 +260,7 @@ where
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.map(linearisation_contribution)
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.unzip();
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let l_x: Polynomial<E::Scalar, Coeff> = linearisation_contibutions
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let l_x: Polynomial<E::Scalar, Coeff> = linearisation_contributions
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.into_iter()
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.zip(powers(*v))
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.map(|(poly, power_of_v)| poly * power_of_v)
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