code: def testComplexShapes(self):
      alpha = np.random.rand(3, 2, 2)
      dist = dirichlet.Dirichlet(alpha)
      self.assertEqual(2, self.evaluate(dist.event_shape_tensor()))
      self.assertAllEqual(
          [3, 2], self.evaluate(dist.batch_shape_tensor())
      )
      self.assertEqual(tf.TensorShape([2]), dist.event_shape)
      self.assertEqual(tf.TensorShape([3, 2]), dist.batch_shape)
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
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