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)
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)
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])