code: def test_alpha_norm_of_random(self):
      x = np.random.rand(1024).astype(float_type)
      alpha = np.random.rand() * 5.0
      x_alpha_norm = (np.sum(np.abs(x) ** alpha) / len(x)) ** (
          1 / alpha
      )
      assert_almost_equal(alpha_norm(x, alpha), x_alpha_norm, decimal=4)
  
imports: import numpy
  from numpy.testing import TestCase, assert_equal, assert_almost_equal
  from aubio import fvec, zero_crossing_rate, alpha_norm, min_removal
  from aubio import float_type
label_desc: Use image node_id 1 for calling the aubio_alpha_norm obj's underlying member method code with example usage: obj.test_alpha_norm_of_random() without return types