code: def testComplexShapesBroadcast(self):
      a = np.random.rand(3, 2, 2)
      b = np.random.rand(2, 2)
      dist = beta.Beta(a, b, validate_args=True)
      self.assertAllEqual([], self.evaluate(dist.event_shape_tensor()))
      self.assertAllEqual(
          [3, 2, 2], self.evaluate(dist.batch_shape_tensor())
      )
      self.assertEqual(tf.TensorShape([]), dist.event_shape)
      self.assertEqual(tf.TensorShape([3, 2, 2]), dist.batch_shape)
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 3 for calling the BetaTest obj's underlying member method code with example usage: obj.testComplexShapesBroadcast() without return types