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