code: def testSimpleShapes(self):
      alpha = np.random.rand(3)
      dist = dirichlet.Dirichlet(alpha)
      self.assertEqual(3, self.evaluate(dist.event_shape_tensor()))
      self.assertAllEqual([], self.evaluate(dist.batch_shape_tensor()))
      self.assertEqual(tf.TensorShape([3]), dist.event_shape)
      self.assertEqual(tf.TensorShape([]), 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 1 for calling the DirichletTest obj's underlying member method code with example usage: obj.testSimpleShapes() without return types