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)
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)
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)
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)
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)
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)
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_2(self):
num = 5
rndm0 = gr.random(42); # init with time
rndm1 = gr.random(42); # init with fix seed
for k in range(num):
x = rndm0.ran1();
y = rndm1.ran1();
self.assertEqual(x,y)
x = np.zeros(num)
y = np.zeros(num)
rndm0 = gr.random(42); # init with fix seed 1
for k in range(num):
x[k] = rndm0.ran1();
rndm1.reseed(43); # init with fix seed 2
for k in range(num):
y[k] = rndm0.ran1();
for k in range(num):
self.assertNotEqual(x[k],y[k])
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_2(self):
num = 5
rndm0 = gr.random(42)
# init with time
rndm1 = gr.random(42)
# init with fix seed
for k in range(num):
x = rndm0.ran1()
y = rndm1.ran1()
self.assertEqual(x, y)
x = np.zeros(num)
y = np.zeros(num)
rndm0 = gr.random(42)
# init with fix seed 1
for k in range(num):
x[k] = rndm0.ran1()
rndm1.reseed(43)
# init with fix seed 2
for k in range(num):
y[k] = rndm0.ran1()
for k in range(num):
self.assertNotEqual(x[k], y[k])
from matplotlib import pyplot as plt
# NOTE: scipy and matplotlib are optional packages and not included in the default gnuradio dependencies
#*** SETUP ***#
# Number of realisations per histogram
num_tests = 1000000
# Set number of bins in histograms
uniform_num_bins = 31
gauss_num_bins = 31
rayleigh_num_bins = 31
laplace_num_bins = 31
rndm = gr.random() # instance of gnuradio random class (gr::random)
print('All histograms contain', num_tests, 'realisations.')
#*** GENERATE DATA ***#
uniform_values = np.zeros(num_tests)
gauss_values = np.zeros(num_tests)
rayleigh_values = np.zeros(num_tests)
laplace_values = np.zeros(num_tests)
for k in range(num_tests):
uniform_values[k] = rndm.ran1()
gauss_values[k] = rndm.gasdev()
rayleigh_values[k] = rndm.rayleigh()
laplace_values[k] = rndm.laplacian()
from matplotlib import pyplot as plt
# NOTE: scipy and matplotlib are optional packages and not included in the default gnuradio dependencies
#*** SETUP ***#
# Number of realisations per histogram
num_tests = 1000000
# Set number of bins in histograms
uniform_num_bins = 31
gauss_num_bins = 31
rayleigh_num_bins = 31
laplace_num_bins = 31
rndm = gr.random() # instance of gnuradio random class (gr::random)
print 'All histograms contain',num_tests,'realisations.'
#*** GENERATE DATA ***#
uniform_values = np.zeros(num_tests)
gauss_values = np.zeros(num_tests)
rayleigh_values = np.zeros(num_tests)
laplace_values = np.zeros(num_tests)
for k in range(num_tests):
uniform_values[k] = rndm.ran1()
gauss_values[k] = rndm.gasdev()
rayleigh_values[k] = rndm.rayleigh()
laplace_values[k] = rndm.laplacian()
