Ejemplo n.º 1
0
def test_distributions_beta_random_sample():
	d = BetaDistribution(1, 1)

	x = numpy.array([0.612564, 0.098563, 0.735983, 0.583171, 0.69296 ])

	assert_array_almost_equal(d.sample(5, random_state=5), x)
	assert_raises(AssertionError, assert_array_almost_equal, d.sample(5), x)
Ejemplo n.º 2
0
def test_beta():
    """Test pickling of beta distribution."""
    d = BetaDistribution(2, 3)
    e = pickle.loads(pickle.dumps(d))
    assert_equal(e.name, "BetaDistribution")
    assert_equal(e.parameters, [2, 3])