#import numpy as np from groth_poly_commit import Scalar, poly_commit, create_proof, verify_proof K = Scalar #R. = LaurentPolynomialRing(K) R. = PolynomialRing(K) var_one = K(1) var_x = K(4) var_y = K(6) var_s = K(1) var_xy = var_x * var_y var_x_y = var_x + var_y var_1_neg_s = var_one - var_s var_sxy = var_s * var_xy var_1_neg_s_x_y = var_1_neg_s * var_x_y #var_s_neg_1 = -var_1_neg_s var_zero = K(0) public_value = var_s * (var_x * var_y) + (1 - var_s) * (var_x + var_y) # x * y = xy a1 = var_x b1 = var_y c1 = var_xy Ql1 = 0 Qr1 = 0 Qm1 = 1 Qo1 = -1 Qc1 = 0 assert Ql1 * a1 + Qr1 * b1 + Qm1 * a1 * b1 + Qo1 * c1 + Qc1 == 0 # x + y = (x + y) a2 = var_x b2 = var_y c2 = var_x_y Ql2 = 1 Qr2 = 1 Qm2 = 0 Qo2 = -1 Qc2 = 0 assert Ql2 * a2 + Qr2 * b2 + Qm2 * a2 * b2 + Qo2 * c2 + Qc2 == 0 # 1 - s = (1 - s) a3 = var_one b3 = var_s c3 = var_1_neg_s Ql3 = 1 Qr3 = -1 Qm3 = 0 Qo3 = -1 Qc3 = 0 assert Ql3 * a3 + Qr3 * b3 + Qm3 * a3 * b3 + Qo3 * c3 + Qc3 == 0 # s * (xy) = sxy a4 = var_s b4 = var_xy c4 = var_sxy Ql4 = 0 Qr4 = 0 Qm4 = 1 Qo4 = -1 Qc4 = 0 assert Ql4 * a4 + Qr4 * b4 + Qm4 * a4 * b4 + Qo4 * c4 + Qc4 == 0 # (1 - s) * (x + y) = [(1 - s)(x + y)] a5 = var_1_neg_s b5 = var_x_y c5 = var_1_neg_s_x_y Ql5 = 0 Qr5 = 0 Qm5 = 1 Qo5 = -1 Qc5 = 0 assert Ql5 * a5 + Qr5 * b5 + Qm5 * a5 * b5 + Qo5 * c5 + Qc5 == 0 # (sxy) + [(1 - s)(x + y)] = public_value a6 = var_sxy b6 = var_1_neg_s_x_y # Unused c6 = var_zero Ql6 = 1 Qr6 = 1 Qm6 = 0 Qo6 = 0 Qc6 = -public_value assert Ql6 * a6 + Qr6 * b6 + Qm6 * a6 * b6 + Qo6 * c6 + Qc6 == 0 # one == 1 a7 = var_one # Unused b7 = var_zero # Unused c7 = var_zero Ql7 = 1 Qr7 = 0 Qm7 = 0 Qo7 = 0 Qc7 = -1 assert Ql7 * a7 + Qr7 * b7 + Qm7 * a7 * b7 + Qo7 * c7 + Qc7 == 0 a = [a1, a2, a3, a4, a5, a6, a7] b = [b1, b2, b3, b4, b5, b6, b7] c = [c1, c2, c3, c4, c5, c6, c7] Ql = [Ql1, Ql2, Ql3, Ql4, Ql5, Ql6] Qr = [Qr1, Qr2, Qr3, Qr4, Qr5, Qr6] Qm = [Qm1, Qm2, Qm3, Qm4, Qm5, Qm6] Qo = [Qo1, Qo2, Qo3, Qo4, Qo5, Qo6] Qc = [Qc1, Qc2, Qc3, Qc4, Qc5, Qc6] # 0 1 2 3 4 5 6 # a: x, x, 1, s, 1 - s, sxy, 1 # # 7 8 9 10 11 12 13 # b: y, y, s, xy, x + y, (1 - s)(x + y), - # # 14 15 16 17 18 19 20 # c: xy, x + y, 1 - s, sxy, (1 - s)(x + y), -, - permuted_indices = [ 1, 0, 6, 9, 16, 17, 2, 8, 7, 3, 14, 15, 18, 13, 10, 11, 4, 5, 12, 19, 20 ] eval_domain = range(0, len(permuted_indices)) witness = a + b + c for i, val in enumerate(a + b + c): assert val == witness[permuted_indices[i]] #def lagrange(domain, codomain): # S. = PolynomialRing(K) # p = S.lagrange_polynomial(zip(eval_domain, permuted_indices)) # # Convert to a Laurent polynomial # return R(p) # This is what the prover passes to the verifier witness_y = R.lagrange_polynomial(enumerate(witness)) assert witness_y(12) == witness[12] witness_x_a = R.lagrange_polynomial( zip(eval_domain[0:7], eval_domain[0:7])) witness_x_b = R.lagrange_polynomial( zip(eval_domain[7:14], eval_domain[7:14])) witness_x_c = R.lagrange_polynomial( zip(eval_domain[14:], eval_domain[14:])) assert witness_x_a(2) == eval_domain[2] assert witness_x_b(8) == eval_domain[8] assert witness_x_c(16) == eval_domain[16] witness_x_a_prime = R.lagrange_polynomial( zip(eval_domain[0:7], permuted_indices[0:7])) witness_x_b_prime = R.lagrange_polynomial( zip(eval_domain[7:14], permuted_indices[7:14])) witness_x_c_prime = R.lagrange_polynomial( zip(eval_domain[14:], permuted_indices[14:])) assert witness_x_a_prime(2) == permuted_indices[2] assert witness_x_b_prime(8) == permuted_indices[8] assert witness_x_c_prime(16) == permuted_indices[16] v1 = K(2) v2 = K(3) px = 1 for i in range(0, len(a)): px *= v1 + witness_x_a(i) + v2 * witness_y(i) for i in range(len(a), 2 * len(a)): px *= v1 + witness_x_b(i) + v2 * witness_y(i) for i in range(2 * len(a), 3 * len(a)): px *= v1 + witness_x_c(i) + v2 * witness_y(i) px_prime = 1 for i in range(0, len(a)): px_prime *= v1 + witness_x_a_prime(i) + v2 * witness_y(i) for i in range(len(a), 2 * len(a)): px_prime *= v1 + witness_x_b_prime(i) + v2 * witness_y(i) for i in range(2 * len(a), 3 * len(a)): px_prime *= v1 + witness_x_c_prime(i) + v2 * witness_y(i) assert px == px_prime