""" Tests of execution of dynamic indexing operation. """ import random import numpy as np import pytest from concrete import fhe @pytest.mark.parametrize( "encryption_status,function,inputset", [ pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 3], lambda _: np.random.randint(0, 3)), id="x[y] where x.shape == (3,) | 0 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 3], lambda _: np.random.randint(-3, 3)), id="x[y] where x.shape == (3,) | -3 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 31], lambda _: np.random.randint(0, 3)), id="x[y] where x.shape == (31,) | 0 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 31], lambda _: np.random.randint(-3, 3)), id="x[y] where x.shape == (31,) | -3 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 0], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 3)), id="x[y, 0] where x.shape == (3, 4) | 0 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 0], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-3, 3)), id="x[y, 0] where x.shape == (3, 4) | -3 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 4)), id="x[1, y] where x.shape == (3, 4) | 0 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-4, 4)), id="x[1, y] where x.shape == (3, 4) | -4 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 3), lambda _: np.random.randint(0, 4), ), id="x[y, z] where x.shape == (3, 4) | 0 < y < 3 | 0 < z < 4", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 3), lambda _: np.random.randint(-4, 4), ), id="x[y, z] where x.shape == (3, 4) | 0 < y < 3 | -4 < z < 4", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-3, 3), lambda _: np.random.randint(0, 4), ), id="x[y, z] where x.shape == (3, 4) | -3 < y < 3 | 0 < z < 4", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-3, 3), lambda _: np.random.randint(-4, 4), ), id="x[y, z] where x.shape == (3, 4) | -3 < y < 3 | -4 < z < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 3)), id="x[y] where x.shape == (3, 4) | 0 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-3, 3)), id="x[y] where x.shape == (3, 4) | -3 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[:, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 4)), id="x[:, y] where x.shape == (3, 4) | 0 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[:, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-4, 4)), id="x[:, y] where x.shape == (3, 4) | -4 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 2], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 3)), id="x[y, 2] where x.shape == (3, 4) | 0 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 2], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-3, 3)), id="x[y, 2] where x.shape == (3, 4) | -3 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, -2], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 3)), id="x[y, -2] where x.shape == (3, 4) | 0 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, -2], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-3, 3)), id="x[y, -2] where x.shape == (3, 4) | -3 < y < 3", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 4)), id="x[1, y] where x.shape == (3, 4) | 0 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-4, 4)), id="x[1, y] where x.shape == (3, 4) | -4 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[-1, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(0, 4)), id="x[-1, y] where x.shape == (3, 4) | 0 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[-1, y], fhe.inputset(fhe.tensor[fhe.uint4, 3, 4], lambda _: np.random.randint(-4, 4)), id="x[-1, y] where x.shape == (3, 4) | -4 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, 4:6], fhe.inputset(fhe.tensor[fhe.uint4, 10, 9, 8], lambda _: np.random.randint(0, 9)), id="x[1:3, y, 4:6] where x.shape == (10, 9, 8) | 0 < y < 9", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, 4:6], fhe.inputset(fhe.tensor[fhe.uint4, 10, 9, 8], lambda _: np.random.randint(-9, 9)), id="x[1:3, y, 4:6] where x.shape == (10, 9, 8) | -9 < y < 9", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 0, z], fhe.inputset( fhe.tensor[fhe.uint4, 10, 9, 8], lambda _: np.random.randint(0, 10), lambda _: np.random.randint(0, 8), ), id="x[y, 0, z] where x.shape == (10, 9, 8) | 0 < y < 10 | 0 < z < 8", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 0, z], fhe.inputset( fhe.tensor[fhe.uint4, 10, 9, 8], lambda _: np.random.randint(0, 10), lambda _: np.random.randint(-8, 8), ), id="x[y, 0, z] where x.shape == (10, 9, 8) | 0 < y < 10 | -8 < z < 8", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 0, z], fhe.inputset( fhe.tensor[fhe.uint4, 10, 9, 8], lambda _: np.random.randint(-10, 10), lambda _: np.random.randint(0, 8), ), id="x[y, 0, z] where x.shape == (10, 9, 8) | -10 < y < 10 | 0 < z < 8", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 0, z], fhe.inputset( fhe.tensor[fhe.uint4, 10, 9, 8], lambda _: np.random.randint(-10, 10), lambda _: np.random.randint(-8, 8), ), id="x[y, 0, z] where x.shape == (10, 9, 8) | -10 < y < 10 | -8 < z < 8", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 5], lambda _: np.random.randint(0, 5, size=(3,))), id="x[y] where x.shape == (5,) | 0 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 5], lambda _: np.random.randint(-5, 5, size=(3,))), id="x[y] where x.shape == (5,) | -5 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 5], lambda _: np.random.randint(0, 5, size=(3, 2))), id="x[y] where x.shape == (5,) | 0 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y], fhe.inputset(fhe.tensor[fhe.uint4, 5], lambda _: np.random.randint(-5, 5, size=(3, 2))), id="x[y] where x.shape == (5,) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(3,)), ), id="x[y, 1] where x.shape == (5, 3) | 0 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=(3,)), ), id="x[y, 1] where x.shape == (5, 3) | -5 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(3, 2)), ), id="x[y, 1] where x.shape == (5, 3) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(3, 2)), ), id="x[y, 1] where x.shape == (5, 3) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [2, 0]], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=()), ), id="x[y, [2, 0]] where x.shape == (5, 3) | 0 < y < 5", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [2, 0]], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=()), ), id="x[y, [2, 0]] where x.shape == (5, 3) | -5 < y < 5", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [2, 0]], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(2,)), ), id="x[y, [2, 0]] where x.shape == (5, 3) | 0 < y < 5 where y.shape == (2,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [2, 0]], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=(2,)), ), id="x[y, [2, 0]] where x.shape == (5, 3) | -5 < y < 5 where y.shape == (2,)", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(2,)), lambda _: np.random.randint(0, 3, size=(2,)), ), id=( "x[y, z] where x.shape == (5, 3) " "| 0 < y < 5 where y.shape == (2,) " "| 0 < z < 3 where z.shape == (2,)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(2,)), lambda _: np.random.randint(-3, 3, size=(2,)), ), id=( "x[y, z] where x.shape == (5, 3)" "| 0 < y < 5 where y.shape == (2,) " "| -3 < z < 3 where z.shape == (2,)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=(2,)), lambda _: np.random.randint(0, 3, size=(2,)), ), id=( "x[y, z] where x.shape == (5, 3)" "| -5 < y < 5 where y.shape == (2,) " "| 0 < z < 3 where z.shape == (2,)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=(2,)), lambda _: np.random.randint(-3, 3, size=(2,)), ), id=( "x[y, z] where x.shape == (5, 3) " "| -5 < y < 5 where y.shape == (2,) " "| -3 < z < 3 where z.shape == (2,)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(3, 2)), lambda _: np.random.randint(0, 3, size=(3, 2)), ), id=( "x[y, z] where x.shape == (5, 3) | 0 < y < 5 where y.shape == (3, 2) " "| 0 < z < 3 where z.shape == (3, 2)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(0, 5, size=(3, 2)), lambda _: np.random.randint(-3, 3, size=(3, 2)), ), id=( "x[y, z] where x.shape == (5, 3) " "| 0 < y < 5 where y.shape == (3, 2) " "| -3 < z < 3 where z.shape == (3, 2)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=(3, 2)), lambda _: np.random.randint(0, 3, size=(3, 2)), ), id=( "x[y, z] where x.shape == (5, 3) " "| -5 < y < 5 where y.shape == (3, 2) " "| 0 < z < 3 where z.shape == (3, 2)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, z], fhe.inputset( fhe.tensor[fhe.uint4, 5, 3], lambda _: np.random.randint(-5, 5, size=(3, 2)), lambda _: np.random.randint(-3, 3, size=(3, 2)), ), id=( "x[y, z] where x.shape == (5, 3) " "| -5 < y < 5 where y.shape == (3, 2) " "| -3 < z < 3 where z.shape == (3, 2)" ), ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 5, 6], lambda _: np.random.randint(0, 5, size=(3,)), ), id="x[y, 2:4] where x.shape == (5, 6) | 0 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3,)), ), id="x[y, 2:4] where x.shape == (5, 6) | -5 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[3, y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5, size=(3,)), ), id="x[3, y, 2:4] where x.shape == (4, 5, 6) | 0 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[3, y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3,)), ), id="x[3, y, 2:4] where x.shape == (4, 5, 6) | -5 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5, size=(3,)), ), id="x[1:3, y, 4] where x.shape == (4, 5, 6) | 0 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3,)), ), id="x[1:3, y, 4] where x.shape == (4, 5, 6) | -5 < y < 5 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 3, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4, size=(3,)), ), id="x[y, 3, 2:4] where x.shape == (4, 5, 6) | 0 < y < 4 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 3, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4, size=(3,)), ), id="x[y, 3, 2:4] where x.shape == (4, 5, 6) | -4 < y < 4 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4, size=(3,)), ), id="x[y, 1:3, 4] where x.shape == (4, 5, 6) | 0 < y < 4 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4, size=(3,)), ), id="x[y, 1:3, 4] where x.shape == (4, 5, 6) | -4 < y < 4 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6, size=(3,)), ), id="x[1, 2:4, y] where x.shape == (4, 5, 6) | 0 < y < 6 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6, size=(3,)), ), id="x[1, 2:4, y] where x.shape == (4, 5, 6) | -6 < y < 6 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, 3, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6, size=(3,)), ), id="x[0:2, 3, y] where x.shape == (4, 5, 6) | 0 < y < 6 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, 3, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6, size=(3,)), ), id="x[0:2, 3, y] where x.shape == (4, 5, 6) | -6 < y < 6 where y.shape == (3,)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[3, 1], y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5), ), id="x[[3, 1], y, 2:4] where x.shape == (4, 5, 6) | 0 < y < 5", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[3, 1], y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5), ), id="x[[3, 1], y, 2:4] where x.shape == (4, 5, 6) | -5 < y < 5", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5), ), id="x[1:3, y, [4, 2]] where x.shape == (4, 5, 6) | 0 < y < 5", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5), ), id="x[1:3, y, [4, 2]] where x.shape == (4, 5, 6) | -5 < y < 5", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [3, 1], 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4), ), id="x[y, [3, 1], 2:4] where x.shape == (4, 5, 6) | 0 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [3, 1], 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4), ), id="x[y, [3, 1], 2:4] where x.shape == (4, 5, 6) | -4 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4), ), id="x[y, 1:3, [4, 2]] where x.shape == (4, 5, 6) | 0 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4), ), id="x[y, 1:3, [4, 2]] where x.shape == (4, 5, 6) | -4 < y < 4", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[1, 0], 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6), ), id="x[[1, 0], 2:4, y] where x.shape == (4, 5, 6) | 0 < y < 6", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[1, 0], 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6), ), id="x[[1, 0], 2:4, y] where x.shape == (4, 5, 6) | -6 < y < 6", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, [4, 2], y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6), ), id="x[0:2, [4, 2], y] where x.shape == (4, 5, 6) | 0 < y < 6", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, [4, 2], y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6), ), id="x[0:2, [4, 2], y] where x.shape == (4, 5, 6) | -6 < y < 6", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[3, y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5, size=(3, 2)), ), id="x[3, y, 2:4] where x.shape == (4, 5, 6) | 0 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[3, y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3, 2)), ), id="x[3, y, 2:4] where x.shape == (4, 5, 6) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5, size=(3, 2)), ), id="x[1:3, y, 4] where x.shape == (4, 5, 6) | 0 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3, 2)), ), id="x[1:3, y, 4] where x.shape == (4, 5, 6) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 3, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4, size=(3, 2)), ), id="x[y, 3, 2:4] where x.shape == (4, 5, 6) | 0 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 3, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4, size=(3, 2)), ), id="x[y, 3, 2:4] where x.shape == (4, 5, 6) | -4 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4, size=(3, 2)), ), id="x[y, 1:3, 4] where x.shape == (4, 5, 6) | 0 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, 4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4, size=(3, 2)), ), id="x[y, 1:3, 4] where x.shape == (4, 5, 6) | -4 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6, size=(3, 2)), ), id="x[1, 2:4, y] where x.shape == (4, 5, 6) | 0 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1, 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6, size=(3, 2)), ), id="x[1, 2:4, y] where x.shape == (4, 5, 6) | -6 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, 3, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6, size=(3, 2)), ), id="x[0:2, 3, y] where x.shape == (4, 5, 6) | 0 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, 3, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6, size=(3, 2)), ), id="x[0:2, 3, y] where x.shape == (4, 5, 6) | -6 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[3, 1], y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5, size=(3, 2)), ), id="x[[3, 1], y, 2:4] where x.shape == (4, 5, 6) | 0 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[3, 1], y, 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3, 2)), ), id="x[[3, 1], y, 2:4] where x.shape == (4, 5, 6) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 5, size=(3, 2)), ), id="x[1:3, y, [4, 2]] where x.shape == (4, 5, 6) | 0 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[1:3, y, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-5, 5, size=(3, 2)), ), id="x[1:3, y, [4, 2]] where x.shape == (4, 5, 6) | -5 < y < 5 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [3, 1], 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4, size=(3, 2)), ), id="x[y, [3, 1], 2:4] where x.shape == (4, 5, 6) | 0 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, [3, 1], 2:4], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4, size=(3, 2)), ), id="x[y, [3, 1], 2:4] where x.shape == (4, 5, 6) | -4 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 4, size=(3, 2)), ), id="x[y, 1:3, [4, 2]] where x.shape == (4, 5, 6) | 0 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[y, 1:3, [4, 2]], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-4, 4, size=(3, 2)), ), id="x[y, 1:3, [4, 2]] where x.shape == (4, 5, 6) | -4 < y < 4 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[1, 0], 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6, size=(3, 2)), ), id="x[[1, 0], 2:4, y] where x.shape == (4, 5, 6) | 0 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[[1, 0], 2:4, y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6, size=(3, 2)), ), id="x[[1, 0], 2:4, y] where x.shape == (4, 5, 6) | -6 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, [4, 2], y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(0, 6, size=(3, 2)), ), id="x[0:2, [4, 2], y] where x.shape == (4, 5, 6) | 0 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[0:2, [4, 2], y], fhe.inputset( fhe.tensor[fhe.uint4, 4, 5, 6], lambda _: np.random.randint(-6, 6, size=(3, 2)), ), id="x[0:2, [4, 2], y] where x.shape == (4, 5, 6) | -6 < y < 6 where y.shape == (3, 2)", ), pytest.param( {"x": "encrypted", "y": "clear"}, lambda x, y: x[:, y, :], fhe.inputset( fhe.tensor[fhe.uint4, 10, 20, 30], lambda _: np.random.randint(0, 20, size=(2, 3, 4)), ), id="x[:, y, :] where x.shape == (10, 20, 30) | 0 < y < 20 where y.shape == (2, 3, 4)", ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[:, y, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 4, size=(2, 3, 4)), lambda _: np.random.randint(0, 5, size=(3, 4)), ), id=( "x[:, y, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 4 where y.shape == (2, 3, 4) " "| 0 < z < 5 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[:, y, :, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 4, size=(2, 3, 4)), lambda _: np.random.randint(0, 6, size=(3, 4)), ), id=( "x[:, y, :, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 4 where y.shape == (2, 3, 4) " "| 0 < z < 6 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, :, :, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 3, size=(2, 3, 4)), lambda _: np.random.randint(0, 6, size=(3, 4)), ), id=( "x[y, :, :, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 3 where y.shape == (2, 3, 4) " "| 0 < z < 6 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 2:, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 3, size=(2, 3, 4)), lambda _: np.random.randint(0, 7, size=(3, 4)), ), id=( "x[y, 2:, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 3 where y.shape == (2, 3, 4) " "| 0 < z < 7 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[1:, y, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 4, size=(2, 3, 4)), lambda _: np.random.randint(0, 7, size=(3, 4)), ), id=( "x[1:, y, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 4 where y.shape == (2, 3, 4) " "| 0 < z < 7 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 2:, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 3), lambda _: np.random.randint(0, 7, size=(3, 4)), ), id=( "x[y, 2:, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 3 " "| 0 < z < 7 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[1:, y, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 4), lambda _: np.random.randint(0, 7, size=(3, 4)), ), id=( "x[1:, y, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 4 " "| 0 < z < 7 where z.shape == (3, 4)" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 2:, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 3, size=(2, 3, 4)), lambda _: np.random.randint(0, 7), ), id=( "x[y, 2:, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 3 where y.shape == (2, 3, 4) " "| 0 < z < 7" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[1:, y, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 4, size=(2, 3, 4)), lambda _: np.random.randint(0, 7), ), id=( "x[1:, y, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 4 where y.shape == (2, 3, 4) " "| 0 < z < 7 " ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[y, 2:, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 3), lambda _: np.random.randint(0, 7), ), id=( "x[y, 2:, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 3 " "| 0 < z < 7" ), ), pytest.param( {"x": "encrypted", "y": "clear", "z": "clear"}, lambda x, y, z: x[1:, y, [3, 1, 0, 4], :3, z], fhe.inputset( fhe.tensor[fhe.uint4, 3, 4, 5, 6, 7], lambda _: np.random.randint(0, 4), lambda _: np.random.randint(0, 7), ), id=( "x[1:, y, [3, 1, 0, 4], :3, z] where x.shape == (3, 4, 5, 6, 7) " "| 0 < y < 4 " "| 0 < z < 7 " ), ), ], ) def test_dynamic_indexing(encryption_status, function, inputset, helpers): """ Test dynamic indexing. """ configuration = helpers.configuration() compiler = fhe.Compiler(function, encryption_status) circuit = compiler.compile(inputset, configuration) for sample in random.sample(inputset, 8): helpers.check_execution(circuit, function, list(sample))