class TestLikelihoodBase(unittest.TestCase):
def setUp(self):
self.likelihood = Likelihood()
def tearDown(self):
del self.likelihood
def test_repr(self):
self.likelihood = Likelihood(parameters=["a", "b"])
expected = "Likelihood(parameters=['a', 'b'])"
self.assertEqual(expected, repr(self.likelihood))
def test_base_log_likelihood(self):
self.assertTrue(np.isnan(self.likelihood.log_likelihood()))
def test_base_noise_log_likelihood(self):
self.assertTrue(np.isnan(self.likelihood.noise_log_likelihood()))
def test_base_log_likelihood_ratio(self):
self.assertTrue(np.isnan(self.likelihood.log_likelihood_ratio()))
def test_meta_data_unset(self):
self.assertEqual(self.likelihood.meta_data, None)
def test_meta_data_set_fail(self):
with self.assertRaises(ValueError):
self.likelihood.meta_data = 10
def test_meta_data(self):
meta_data = dict(x=1, y=2)
self.likelihood.meta_data = meta_data
self.assertEqual(self.likelihood.meta_data, meta_data)
class TestLikelihoodBase(unittest.TestCase):
def setUp(self):
self.likelihood = Likelihood()
def tearDown(self):
del self.likelihood
def test_repr(self):
self.likelihood = Likelihood(parameters=['a', 'b'])
expected = 'Likelihood(parameters=[\'a\', \'b\'])'
self.assertEqual(expected, repr(self.likelihood))
def test_base_log_likelihood(self):
self.assertTrue(np.isnan(self.likelihood.log_likelihood()))
def test_base_noise_log_likelihood(self):
self.assertTrue(np.isnan(self.likelihood.noise_log_likelihood()))
def test_base_log_likelihood_ratio(self):
self.assertTrue(np.isnan(self.likelihood.log_likelihood_ratio()))