code: def testComplexShapes(self):
      alpha = np.random.rand(3, 2, 2)
      dist = dirichlet_lib.Dirichlet(alpha)
      self.assertEqual(2, self.evaluate(dist.event_shape_tensor()))
      self.assertAllEqual(
          [3, 2], self.evaluate(dist.batch_shape_tensor())
      )
      self.assertEqual(tensor_shape.TensorShape([2]), dist.event_shape)
      self.assertEqual(
          tensor_shape.TensorShape([3, 2]), dist.batch_shape
      )
  
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 2 for calling the DirichletTest obj's underlying member method code with example usage: obj.testComplexShapes() without return types