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darkfi/script/research/mpc/test_msm.sage
2023-09-21 16:19:15 +03:00

37 lines
1.7 KiB
Python

load('beaver.sage')
import random
N = 2
source = Source(p)
points = [CurvePoint.random() for _ in range(0, N)]
lhs_points = [pt - CurvePoint.random() for pt in points]
rhs_points = [point - lhs for (point, lhs) in zip(points, lhs_points)]
lhs_points_shares = [ECAuthenticatedShare(pt) for pt in lhs_points]
rhs_points_shares = [ECAuthenticatedShare(pt) for pt in rhs_points]
assert [lhs_pt_share.authenticated_open(rhs_pt_share) for lhs_pt_share, rhs_pt_share in zip(lhs_points_shares, rhs_points_shares)] == points
scalars = [random.randint(0,p) for i in range(0, N)]
lhs_scalars = [s - random.randint(0,p) for s in scalars]
rhs_scalars = [s - lhs for (s, lhs) in zip(scalars, lhs_scalars)]
lhs_scalars_shares = [AuthenticatedShare(s, source, 0) for s in lhs_scalars]
rhs_scalars_shares = [AuthenticatedShare(s, source, 1) for s in rhs_scalars]
assert [lhs_scalar_share.authenticated_open(rhs_scalar_share) for lhs_scalar_share, rhs_scalar_share in zip(lhs_scalars_shares, rhs_scalars_shares)] == scalars
lhs_msm = MSM(lhs_points_shares, lhs_scalars_shares, source, 0)
rhs_msm = MSM(rhs_points_shares, rhs_scalars_shares, source, 1)
#
lhs_de = [[point_scalar.d.copy(), point_scalar.e.copy()] for point_scalar in lhs_msm.point_scalars]
rhs_de = [[point_scalar.d.copy(), point_scalar.e.copy()] for point_scalar in rhs_msm.point_scalars]
res = []
lhs = lhs_msm.msm(rhs_de)
rhs = rhs_msm.msm(lhs_de)
result = sum([lhs_pt_scalar.authenticated_open(rhs_pt_scalar) for lhs_pt_scalar, rhs_pt_scalar in zip (lhs_msm.point_scalars , rhs_msm.point_scalars)])
res = lhs.authenticated_open(rhs)
assert result == res
assert result == sum([p*s for p, s in zip(points, scalars)]), 'res: {}, expected: {}'.format(res, sum([p*s for p, s in zip(points, scalars)]))