code: def test_normalize_along_axis():
      A = np.random.normal(42.0, size=(128, 4))
      for axis in range(A.ndim):
          A[np.random.choice(len(A), size=16), axis] = 0.0
          assert (A[:, axis] == 0.0).any()
          normalize(A, axis=axis)
          assert_allclose(A.sum(axis=axis), 1.0)
  
imports: import numpy
  from numpy.testing import assert_allclose
  from hmmlearn.utils import normalize, fill_covars
label_desc: Use image node_id 2 for calling a global function with example usage: test_normalize_along_axis() without return types