code: def testKumaraswamyMode(self):
      a = np.array([1.1, 2, 3])
      b = np.array([2.0, 4, 1.2])
      expected_mode = _kumaraswamy_mode(a, b)
      dist = kumaraswamy.Kumaraswamy(a, b, validate_args=True)
      self.assertEqual((3,), dist.mode().shape)
      self.assertAllClose(expected_mode, self.evaluate(dist.mode()))
  
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 16 for calling the KumaraswamyTest obj's underlying member method code with example usage: obj.testKumaraswamyMode() without return types