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| import numpy as np | |
| from numpy.testing import assert_array_equal, assert_array_compare | |
| from numpy.random import SeedSequence | |
| def test_reference_data(): | |
| """ Check that SeedSequence generates data the same as the C++ reference. | |
| https://gist.github.com/imneme/540829265469e673d045 | |
| """ | |
| inputs = [ | |
| [3735928559, 195939070, 229505742, 305419896], | |
| [3668361503, 4165561550, 1661411377, 3634257570], | |
| [164546577, 4166754639, 1765190214, 1303880213], | |
| [446610472, 3941463886, 522937693, 1882353782], | |
| [1864922766, 1719732118, 3882010307, 1776744564], | |
| [4141682960, 3310988675, 553637289, 902896340], | |
| [1134851934, 2352871630, 3699409824, 2648159817], | |
| [1240956131, 3107113773, 1283198141, 1924506131], | |
| [2669565031, 579818610, 3042504477, 2774880435], | |
| [2766103236, 2883057919, 4029656435, 862374500], | |
| ] | |
| outputs = [ | |
| [3914649087, 576849849, 3593928901, 2229911004], | |
| [2240804226, 3691353228, 1365957195, 2654016646], | |
| [3562296087, 3191708229, 1147942216, 3726991905], | |
| [1403443605, 3591372999, 1291086759, 441919183], | |
| [1086200464, 2191331643, 560336446, 3658716651], | |
| [3249937430, 2346751812, 847844327, 2996632307], | |
| [2584285912, 4034195531, 3523502488, 169742686], | |
| [959045797, 3875435559, 1886309314, 359682705], | |
| [3978441347, 432478529, 3223635119, 138903045], | |
| [296367413, 4262059219, 13109864, 3283683422], | |
| ] | |
| outputs64 = [ | |
| [2477551240072187391, 9577394838764454085], | |
| [15854241394484835714, 11398914698975566411], | |
| [13708282465491374871, 16007308345579681096], | |
| [15424829579845884309, 1898028439751125927], | |
| [9411697742461147792, 15714068361935982142], | |
| [10079222287618677782, 12870437757549876199], | |
| [17326737873898640088, 729039288628699544], | |
| [16644868984619524261, 1544825456798124994], | |
| [1857481142255628931, 596584038813451439], | |
| [18305404959516669237, 14103312907920476776], | |
| ] | |
| for seed, expected, expected64 in zip(inputs, outputs, outputs64): | |
| expected = np.array(expected, dtype=np.uint32) | |
| ss = SeedSequence(seed) | |
| state = ss.generate_state(len(expected)) | |
| assert_array_equal(state, expected) | |
| state64 = ss.generate_state(len(expected64), dtype=np.uint64) | |
| assert_array_equal(state64, expected64) | |
| def test_zero_padding(): | |
| """ Ensure that the implicit zero-padding does not cause problems. | |
| """ | |
| # Ensure that large integers are inserted in little-endian fashion to avoid | |
| # trailing 0s. | |
| ss0 = SeedSequence(42) | |
| ss1 = SeedSequence(42 << 32) | |
| assert_array_compare( | |
| np.not_equal, | |
| ss0.generate_state(4), | |
| ss1.generate_state(4)) | |
| # Ensure backwards compatibility with the original 0.17 release for small | |
| # integers and no spawn key. | |
| expected42 = np.array([3444837047, 2669555309, 2046530742, 3581440988], | |
| dtype=np.uint32) | |
| assert_array_equal(SeedSequence(42).generate_state(4), expected42) | |
| # Regression test for gh-16539 to ensure that the implicit 0s don't | |
| # conflict with spawn keys. | |
| assert_array_compare( | |
| np.not_equal, | |
| SeedSequence(42, spawn_key=(0,)).generate_state(4), | |
| expected42) | |