You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
81 lines
3.3 KiB
81 lines
3.3 KiB
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)
|