1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
|
#!/usr/bin/env python
#
# Copyright 2006,2007,2010,2015 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#
from gnuradio import gr, gr_unittest
import numpy as np
class test_random(gr_unittest.TestCase):
# NOTE: For tests on the output distribution of the random numbers, see gnuradio-runtime/apps/evaluation_random_numbers.py.
# Check for range [0,1) of uniform distributed random numbers
def test_1(self):
num_tests = 10000
values = np.zeros(num_tests)
rndm = gr.random()
for k in range(num_tests):
values[k] = rndm.ran1()
for value in values:
self.assertLess(value, 1)
self.assertGreaterEqual(value, 0)
# Same seed should yield same random values.
def test_2_same_seed(self):
num = 5
# Init with fixed seed.
rndm0 = gr.random(42)
rndm1 = gr.random(42)
for k in range(num):
x = rndm0.ran1()
y = rndm1.ran1()
self.assertEqual(x, y)
# reseed should yield same numbers.
def test_003_reseed(self):
num = 5
x = np.zeros(num)
y = np.zeros(num)
rndm = gr.random(43) # init with fix seed 1
for k in range(num):
x[k] = rndm.ran1()
rndm.reseed(43) # init with fix seed 2
for k in range(num):
y[k] = rndm.ran1()
self.assertFloatTuplesAlmostEqual(x, y)
def test_004_integer(self):
nitems = 100000
minimum = 2
maximum = 42
rng = gr.random(1, minimum, maximum)
rnd_vals = np.zeros(nitems, dtype=int)
for i in range(nitems):
rnd_vals[i] = rng.ran_int()
self.assertGreaterEqual(minimum, np.min(rnd_vals))
self.assertLess(np.max(rnd_vals), maximum)
if __name__ == '__main__':
gr_unittest.run(test_random, "test_random.xml")
|
