def test_private_xor(workers):
bob, alice, james = (workers["bob"], workers["alice"], workers["james"])
x = torch.tensor([0]).share(bob, alice, james, protocol="falcon", field=2)
y = torch.tensor([1]).share(bob, alice, james, protocol="falcon", field=2)
assert (FalconHelper.xor(x, y).reconstruct() == torch.tensor(1)).all()
assert (FalconHelper.xor(x, x).reconstruct() == torch.tensor(0)).all()
assert (FalconHelper.xor(y, y).reconstruct() == torch.tensor(0)).all()
assert (FalconHelper.xor(y, x).reconstruct() == torch.tensor(1)).all()
def test_private_xor(x_val, y_val, x_xor_y, workers):
bob, alice, james = (workers["bob"], workers["alice"], workers["james"])
x = x_val.share(bob, alice, james, protocol="falcon", field=2)
y = y_val.share(bob, alice, james, protocol="falcon", field=2)
assert (FalconHelper.xor(x, y).reconstruct() == x_xor_y).all()