arkworks migration to bls12377

This commit is contained in:
Mara Mihali
2022-06-21 10:48:12 +01:00
parent dda7a6fb46
commit cc345b6451
19 changed files with 393 additions and 346 deletions

View File

@@ -9,9 +9,10 @@
//!
//! [here]: https://medium.com/@VitalikButerin/quadratic-arithmetic-programs-from-zero-to-hero-f6d558cea649
use ark_bls12_377::Fr as Scalar;
use ark_ff::{PrimeField, BigInteger};
use libspartan::{InputsAssignment, Instance, SNARKGens, VarsAssignment, SNARK};
use merlin::Transcript;
use rand::rngs::OsRng;
use ark_std::{UniformRand, One, Zero};
#[allow(non_snake_case)]
fn produce_r1cs() -> (
@@ -31,11 +32,11 @@ fn produce_r1cs() -> (
// We will encode the above constraints into three matrices, where
// the coefficients in the matrix are in the little-endian byte order
let mut A: Vec<(usize, usize, [u8; 32])> = Vec::new();
let mut B: Vec<(usize, usize, [u8; 32])> = Vec::new();
let mut C: Vec<(usize, usize, [u8; 32])> = Vec::new();
let mut A: Vec<(usize, usize, Vec<u8>)> = Vec::new();
let mut B: Vec<(usize, usize, Vec<u8>)> = Vec::new();
let mut C: Vec<(usize, usize, Vec<u8>)> = Vec::new();
let one = Scalar::one().to_bytes();
let one = Scalar::one().into_repr().to_bytes_le();
// R1CS is a set of three sparse matrices A B C, where is a row for every
// constraint and a column for every entry in z = (vars, 1, inputs)
@@ -44,29 +45,29 @@ fn produce_r1cs() -> (
// constraint 0 entries in (A,B,C)
// constraint 0 is Z0 * Z0 - Z1 = 0.
A.push((0, 0, one));
B.push((0, 0, one));
C.push((0, 1, one));
A.push((0, 0, one.clone()));
B.push((0, 0, one.clone()));
C.push((0, 1, one.clone()));
// constraint 1 entries in (A,B,C)
// constraint 1 is Z1 * Z0 - Z2 = 0.
A.push((1, 1, one));
B.push((1, 0, one));
C.push((1, 2, one));
A.push((1, 1, one.clone()));
B.push((1, 0, one.clone()));
C.push((1, 2, one.clone()));
// constraint 2 entries in (A,B,C)
// constraint 2 is (Z2 + Z0) * 1 - Z3 = 0.
A.push((2, 2, one));
A.push((2, 0, one));
B.push((2, num_vars, one));
C.push((2, 3, one));
A.push((2, 2, one.clone()));
A.push((2, 0, one.clone()));
B.push((2, num_vars, one.clone()));
C.push((2, 3, one.clone()));
// constraint 3 entries in (A,B,C)
// constraint 3 is (Z3 + 5) * 1 - I0 = 0.
A.push((3, 3, one));
A.push((3, num_vars, Scalar::from(5u32).to_bytes()));
B.push((3, num_vars, one));
C.push((3, num_vars + 1, one));
A.push((3, 3, one.clone()));
A.push((3, num_vars, Scalar::from(5u32).into_repr().to_bytes_le()));
B.push((3, num_vars, one.clone()));
C.push((3, num_vars + 1, one.clone()));
let inst = Instance::new(num_cons, num_vars, num_inputs, &A, &B, &C).unwrap();
@@ -79,16 +80,16 @@ let mut rng = ark_std::rand::thread_rng();
let i0 = z3 + Scalar::from(5u32); // constraint 3
// create a VarsAssignment
let mut vars = vec![Scalar::zero().to_bytes(); num_vars];
vars[0] = z0.to_bytes();
vars[1] = z1.to_bytes();
vars[2] = z2.to_bytes();
vars[3] = z3.to_bytes();
let mut vars = vec![Scalar::zero().into_repr().to_bytes_le(); num_vars];
vars[0] = z0.into_repr().to_bytes_le();
vars[1] = z1.into_repr().to_bytes_le();
vars[2] = z2.into_repr().to_bytes_le();
vars[3] = z3.into_repr().to_bytes_le();
let assignment_vars = VarsAssignment::new(&vars).unwrap();
// create an InputsAssignment
let mut inputs = vec![Scalar::zero().to_bytes(); num_inputs];
inputs[0] = i0.to_bytes();
let mut inputs = vec![Scalar::zero().into_repr().to_bytes_le(); num_inputs];
inputs[0] = i0.into_repr().to_bytes_le();
let assignment_inputs = InputsAssignment::new(&inputs).unwrap();
// check if the instance we created is satisfiable