code: def testEntropy(self):
      alpha = [1.0, 2, 3]
      dirichlet = dirichlet_lib.Dirichlet(concentration=alpha)
      self.assertEqual(dirichlet.entropy().get_shape(), ())
      if not stats:
          return
      expected_entropy = stats.dirichlet.entropy(alpha)
      self.assertAllClose(
          self.evaluate(dirichlet.entropy()), expected_entropy
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import dirichlet
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 19 for calling the DirichletTest obj's underlying member method code with example usage: obj.testEntropy() without return types