import pickle try: import unittest2 as unittest except ImportError: import unittest import hypothesis.strategies as st from hypothesis import given, assume, settings, example from .ellipticcurve import CurveFp, Point, PointJacobi, INFINITY from .ecdsa import ( generator_256, curve_256, generator_224, generator_brainpoolp160r1, curve_brainpoolp160r1, ) from .numbertheory import inverse_mod class TestJacobi(unittest.TestCase): def test___init__(self): curve = object() x = 2 y = 3 z = 1 order = 4 pj = PointJacobi(curve, x, y, z, order) self.assertEqual(pj.order(), order) self.assertIs(pj.curve(), curve) self.assertEqual(pj.x(), x) self.assertEqual(pj.y(), y) def test_add_with_different_curves(self): p_a = PointJacobi.from_affine(generator_256) p_b = PointJacobi.from_affine(generator_224) with self.assertRaises(ValueError): p_a + p_b def test_compare_different_curves(self): self.assertNotEqual(generator_256, generator_224) def test_equality_with_non_point(self): pj = PointJacobi.from_affine(generator_256) self.assertNotEqual(pj, "value") def test_conversion(self): pj = PointJacobi.from_affine(generator_256) pw = pj.to_affine() self.assertEqual(generator_256, pw) def test_single_double(self): pj = PointJacobi.from_affine(generator_256) pw = generator_256.double() pj = pj.double() self.assertEqual(pj.x(), pw.x()) self.assertEqual(pj.y(), pw.y()) def test_double_with_zero_point(self): pj = PointJacobi(curve_256, 0, 0, 1) pj = pj.double() self.assertIs(pj, INFINITY) def test_double_with_zero_equivalent_point(self): pj = PointJacobi(curve_256, 0, curve_256.p(), 1) pj = pj.double() self.assertIs(pj, INFINITY) def test_double_with_zero_equivalent_point_non_1_z(self): pj = PointJacobi(curve_256, 0, curve_256.p(), 2) pj = pj.double() self.assertIs(pj, INFINITY) def test_compare_with_affine_point(self): pj = PointJacobi.from_affine(generator_256) pa = pj.to_affine() self.assertEqual(pj, pa) self.assertEqual(pa, pj) def test_to_affine_with_zero_point(self): pj = PointJacobi(curve_256, 0, 0, 1) pa = pj.to_affine() self.assertIs(pa, INFINITY) def test_add_with_affine_point(self): pj = PointJacobi.from_affine(generator_256) pa = pj.to_affine() s = pj + pa self.assertEqual(s, pj.double()) def test_radd_with_affine_point(self): pj = PointJacobi.from_affine(generator_256) pa = pj.to_affine() s = pa + pj self.assertEqual(s, pj.double()) def test_add_with_infinity(self): pj = PointJacobi.from_affine(generator_256) s = pj + INFINITY self.assertEqual(s, pj) def test_add_zero_point_to_affine(self): pa = PointJacobi.from_affine(generator_256).to_affine() pj = PointJacobi(curve_256, 0, 0, 1) s = pj + pa self.assertIs(s, pa) def test_multiply_by_zero(self): pj = PointJacobi.from_affine(generator_256) pj = pj * 0 self.assertIs(pj, INFINITY) def test_zero_point_multiply_by_one(self): pj = PointJacobi(curve_256, 0, 0, 1) pj = pj * 1 self.assertIs(pj, INFINITY) def test_multiply_by_one(self): pj = PointJacobi.from_affine(generator_256) pw = generator_256 * 1 pj = pj * 1 self.assertEqual(pj.x(), pw.x()) self.assertEqual(pj.y(), pw.y()) def test_multiply_by_two(self): pj = PointJacobi.from_affine(generator_256) pw = generator_256 * 2 pj = pj * 2 self.assertEqual(pj.x(), pw.x()) self.assertEqual(pj.y(), pw.y()) def test_rmul_by_two(self): pj = PointJacobi.from_affine(generator_256) pw = generator_256 * 2 pj = 2 * pj self.assertEqual(pj, pw) def test_compare_non_zero_with_infinity(self): pj = PointJacobi.from_affine(generator_256) self.assertNotEqual(pj, INFINITY) def test_compare_zero_point_with_infinity(self): pj = PointJacobi(curve_256, 0, 0, 1) self.assertEqual(pj, INFINITY) def test_compare_double_with_multiply(self): pj = PointJacobi.from_affine(generator_256) dbl = pj.double() mlpl = pj * 2 self.assertEqual(dbl, mlpl) @settings(max_examples=10) @given( st.integers( min_value=0, max_value=int(generator_brainpoolp160r1.order()) ) ) def test_multiplications(self, mul): pj = PointJacobi.from_affine(generator_brainpoolp160r1) pw = pj.to_affine() * mul pj = pj * mul self.assertEqual((pj.x(), pj.y()), (pw.x(), pw.y())) self.assertEqual(pj, pw) @settings(max_examples=10) @given( st.integers( min_value=0, max_value=int(generator_brainpoolp160r1.order()) ) ) @example(0) @example(int(generator_brainpoolp160r1.order())) def test_precompute(self, mul): precomp = PointJacobi.from_affine(generator_brainpoolp160r1, True) pj = PointJacobi.from_affine(generator_brainpoolp160r1) a = precomp * mul b = pj * mul self.assertEqual(a, b) @settings(max_examples=10) @given( st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), ) @example(3, 3) def test_add_scaled_points(self, a_mul, b_mul): j_g = PointJacobi.from_affine(generator_brainpoolp160r1) a = PointJacobi.from_affine(j_g * a_mul) b = PointJacobi.from_affine(j_g * b_mul) c = a + b self.assertEqual(c, j_g * (a_mul + b_mul)) @settings(max_examples=10) @given( st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.integers(min_value=1, max_value=int(curve_brainpoolp160r1.p() - 1)), ) def test_add_one_scaled_point(self, a_mul, b_mul, new_z): j_g = PointJacobi.from_affine(generator_brainpoolp160r1) a = PointJacobi.from_affine(j_g * a_mul) b = PointJacobi.from_affine(j_g * b_mul) p = curve_brainpoolp160r1.p() assume(inverse_mod(new_z, p)) new_zz = new_z * new_z % p b = PointJacobi( curve_brainpoolp160r1, b.x() * new_zz % p, b.y() * new_zz * new_z % p, new_z, ) c = a + b self.assertEqual(c, j_g * (a_mul + b_mul)) @settings(max_examples=10) @given( st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.integers(min_value=1, max_value=int(curve_brainpoolp160r1.p() - 1)), ) @example(1, 1, 1) @example(3, 3, 3) @example(2, int(generator_brainpoolp160r1.order() - 2), 1) @example(2, int(generator_brainpoolp160r1.order() - 2), 3) def test_add_same_scale_points(self, a_mul, b_mul, new_z): j_g = PointJacobi.from_affine(generator_brainpoolp160r1) a = PointJacobi.from_affine(j_g * a_mul) b = PointJacobi.from_affine(j_g * b_mul) p = curve_brainpoolp160r1.p() assume(inverse_mod(new_z, p)) new_zz = new_z * new_z % p a = PointJacobi( curve_brainpoolp160r1, a.x() * new_zz % p, a.y() * new_zz * new_z % p, new_z, ) b = PointJacobi( curve_brainpoolp160r1, b.x() * new_zz % p, b.y() * new_zz * new_z % p, new_z, ) c = a + b self.assertEqual(c, j_g * (a_mul + b_mul)) @settings(max_examples=14) @given( st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.integers( min_value=1, max_value=int(generator_brainpoolp160r1.order()) ), st.lists( st.integers( min_value=1, max_value=int(curve_brainpoolp160r1.p() - 1) ), min_size=2, max_size=2, unique=True, ), ) @example(2, 2, [2, 1]) @example(2, 2, [2, 3]) @example(2, int(generator_brainpoolp160r1.order() - 2), [2, 3]) @example(2, int(generator_brainpoolp160r1.order() - 2), [2, 1]) def test_add_different_scale_points(self, a_mul, b_mul, new_z): j_g = PointJacobi.from_affine(generator_brainpoolp160r1) a = PointJacobi.from_affine(j_g * a_mul) b = PointJacobi.from_affine(j_g * b_mul) p = curve_brainpoolp160r1.p() assume(inverse_mod(new_z[0], p)) assume(inverse_mod(new_z[1], p)) new_zz0 = new_z[0] * new_z[0] % p new_zz1 = new_z[1] * new_z[1] % p a = PointJacobi( curve_brainpoolp160r1, a.x() * new_zz0 % p, a.y() * new_zz0 * new_z[0] % p, new_z[0], ) b = PointJacobi( curve_brainpoolp160r1, b.x() * new_zz1 % p, b.y() * new_zz1 * new_z[1] % p, new_z[1], ) c = a + b self.assertEqual(c, j_g * (a_mul + b_mul)) def test_add_point_3_times(self): j_g = PointJacobi.from_affine(generator_256) self.assertEqual(j_g * 3, j_g + j_g + j_g) def test_mul_add_inf(self): j_g = PointJacobi.from_affine(generator_256) self.assertEqual(j_g, j_g.mul_add(1, INFINITY, 1)) def test_mul_add_same(self): j_g = PointJacobi.from_affine(generator_256) self.assertEqual(j_g * 2, j_g.mul_add(1, j_g, 1)) def test_mul_add_precompute(self): j_g = PointJacobi.from_affine(generator_256, True) b = PointJacobi.from_affine(j_g * 255, True) self.assertEqual(j_g * 256, j_g + b) self.assertEqual(j_g * (5 + 255 * 7), j_g * 5 + b * 7) self.assertEqual(j_g * (5 + 255 * 7), j_g.mul_add(5, b, 7)) def test_mul_add_precompute_large(self): j_g = PointJacobi.from_affine(generator_256, True) b = PointJacobi.from_affine(j_g * 255, True) self.assertEqual(j_g * 256, j_g + b) self.assertEqual( j_g * (0xFF00 + 255 * 0xF0F0), j_g * 0xFF00 + b * 0xF0F0 ) self.assertEqual( j_g * (0xFF00 + 255 * 0xF0F0), j_g.mul_add(0xFF00, b, 0xF0F0) ) def test_mul_add_to_mul(self): j_g = PointJacobi.from_affine(generator_256) a = j_g * 3 b = j_g.mul_add(2, j_g, 1) self.assertEqual(a, b) def test_mul_add(self): j_g = PointJacobi.from_affine(generator_256) w_a = generator_256 * 255 w_b = generator_256 * (0xA8 * 0xF0) j_b = j_g * 0xA8 ret = j_g.mul_add(255, j_b, 0xF0) self.assertEqual(ret.to_affine(), w_a + w_b) def test_mul_add_large(self): j_g = PointJacobi.from_affine(generator_256) b = PointJacobi.from_affine(j_g * 255) self.assertEqual(j_g * 256, j_g + b) self.assertEqual( j_g * (0xFF00 + 255 * 0xF0F0), j_g * 0xFF00 + b * 0xF0F0 ) self.assertEqual( j_g * (0xFF00 + 255 * 0xF0F0), j_g.mul_add(0xFF00, b, 0xF0F0) ) def test_equality(self): pj1 = PointJacobi(curve=CurveFp(23, 1, 1, 1), x=2, y=3, z=1, order=1) pj2 = PointJacobi(curve=CurveFp(23, 1, 1, 1), x=2, y=3, z=1, order=1) self.assertEqual(pj1, pj2) def test_pickle(self): pj = PointJacobi(curve=CurveFp(23, 1, 1, 1), x=2, y=3, z=1, order=1) self.assertEqual(pickle.loads(pickle.dumps(pj)), pj)