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- load('beaver.sage')
- import random
- N = 10
- 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]
- 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]
- 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, point_scalar.e] for point_scalar in lhs_msm.point_scalars]
- rhs_de = [[point_scalar.d, point_scalar.e] for point_scalar in rhs_msm.point_scalars]
- res = []
- lhs = lhs_msm.msm(rhs_de)
- rhs = rhs_msm.msm(lhs_de)
- res = lhs.authenticated_open(rhs)
- assert res == sum([p*s for p, s in zip(points, scalars)]), 'res: {}, expected: {}'.format(res, sum([p*s for p, s in zip(points, scalars)]))
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