def test_normalize_multi_factor(self):
values_1 = np.random.rand(5)
values_2 = np.random.rand(4, 3)
values = np.array([values_1, values_2])
c = Categorical(values=values)
c.normalize()
self.assertTrue(c.is_normalized())
def test_normalize_two_dim(self):
values = np.array([[1.0, 1.0], [1.0, 1.0]])
c = Categorical(values=values)
expected_values = np.array([[0.5, 0.5], [0.5, 0.5]])
c.normalize()
self.assertTrue(np.array_equal(c.values, expected_values))