code: def test_wishart(self):
      dof1 = 952
      scale1 = np.asarray([[339.8474024737109]])
      dof2 = 1.0
      scale2 = np.asarray([[0.001]])
  
      kl_equal = _kl.kl_wishart_distribution(dof1, scale1, dof1, scale1)
      assert kl_equal == 0
      kl_ne = _kl.kl_wishart_distribution(dof1, scale1, dof2, scale2)
      assert kl_ne > 0
  
file_path: hmmlearn/lib/hmmlearn/tests/test_kl_divergence.py
imports: import numpy
  from hmmlearn import _kl_divergence
label_desc: Use image node_id 5 for calling the TestKLDivergence obj's underlying member method code with example usage: obj.test_wishart() without return types