def test_empirical_quantiles_vector(self):
out = utilities.empirical_quantiles(np.linspace(10, 20,
num=10).reshape(10, 1),
p=np.array([0.22, 0.57345]))
exact = np.array([[12.2], [15.7345]])
comp = np.linalg.norm(out - exact)
self.assertAlmostEqual(comp, 0)
def test_does_non_default_empirical_quantiles_return_2_element_array(self):
test_out = utilities.empirical_quantiles(np.random.rand(10, 1),
p=np.array([0.2, 0.5]))
self.assertEqual(test_out.shape, (2, 1),
msg='Non-default output shape should be (2,1)')
def test_empirical_quantiles_should_not_support_list_input(self):
with self.assertRaises(AttributeError):
utilities.empirical_quantiles([-1, 0, 1])
def test_does_default_empirical_quantiles_return_3_element_array(self):
test_out = utilities.empirical_quantiles(np.random.rand(10, 1))
self.assertEqual(test_out.shape, (3, 1),
msg='Default output shape is (3,1)')