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#!/usr/bin/env python
#
# Copyright 2006,2007,2010,2015 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
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")
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