code: def test_normalize():
      A = np.random.normal(42.0, size=128)
      A[np.random.choice(len(A), size=16)] = 0.0
      assert (A == 0.0).any()
      normalize(A)
      assert_allclose(A.sum(), 1.0)
  
imports: import numpy
  from numpy.testing import assert_allclose
  from hmmlearn.utils import normalize, fill_covars
label_desc: Use image node_id 1 for calling a global function with example usage: test_normalize() without return types