def test_logseries_convergence(self):
# Test for ticket #923
N = 1000
rnd.seed(0)
rvsn = rnd.logseries(0.8, size=N)
# these two frequency counts should be close to theoretical
# numbers with this large sample
# theoretical large N result is 0.49706795
freq = np.sum(rvsn == 1) / float(N)
msg = "Frequency was %f, should be > 0.45" % freq
assert_(freq > 0.45, msg)
# theoretical large N result is 0.19882718
freq = np.sum(rvsn == 2) / float(N)
msg = "Frequency was %f, should be < 0.23" % freq
assert_(freq < 0.23, msg)
def test_logseries(self):
rnd.seed(self.seed, self.brng)
actual = rnd.logseries(p=.923456789, size=(3, 2))
desired = np.array([[18, 1], [1, 1], [5, 19]])
np.testing.assert_array_equal(actual, desired)
