code: def testMean(self):
      alpha = [1.0, 2, 3]
      dirichlet = dirichlet_lib.Dirichlet(concentration=alpha)
      self.assertEqual(dirichlet.mean().get_shape(), [3])
      if not stats:
          return
      expected_mean = stats.dirichlet.mean(alpha)
      self.assertAllClose(
          self.evaluate(dirichlet.mean()), expected_mean
      )
  
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 13 for calling the DirichletTest obj's underlying member method code with example usage: obj.testMean() without return types