x = np.random.rand(1024).astype(float_type)
alpha = np.random.rand() * 5.
x_alpha_norm = (np.sum(np.abs(x)**alpha)/len(x))**(1/alpha)
- assert_almost_equal(alpha_norm(x, alpha), x_alpha_norm)
+ assert_almost_equal(alpha_norm(x, alpha), x_alpha_norm, decimal = 5)
class aubio_zero_crossing_rate_test(TestCase):