code: def testKumaraswamyMean(self):
      a = [1.0, 2, 3]
      b = [2.0, 4, 1.2]
      dist = kumaraswamy.Kumaraswamy(a, b, validate_args=True)
      expected_mean = _kumaraswamy_moment(a, b, 1)
      self.assertEqual((3,), dist.mean().shape)
      self.assertAllClose(expected_mean, self.evaluate(dist.mean()))
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kumaraswamy
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 14 for calling the KumaraswamyTest obj's underlying member method code with example usage: obj.testKumaraswamyMean() without return types