code: def testBroadcastingHigherDimParam(self):
      dist = pert.PERT(
          low=[1.0, 2.0],
          peak=[[2.0, 3.0], [4.0, 5.0]],
          high=10.0,
          temperature=4.0,
          validate_args=True,
      )
      self.assertAllEqual(
          [2, 2], self.evaluate(dist.batch_shape_tensor())
      )
      self.assertEqual(tf.TensorShape([2, 2]), dist.batch_shape)
      self.assertAllEqual([], self.evaluate(dist.event_shape_tensor()))
      self.assertEqual(tf.TensorShape([]), dist.event_shape)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import pert
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the PERTTest obj's underlying member method code with example usage: obj.testBroadcastingHigherDimParam() without return types