code: def testBroadcastingParam(self):
      dist = pert.PERT(
          low=1.0,
          peak=[2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0],
          high=10.0,
          temperature=4.0,
          validate_args=True,
      )
      self.assertEqual([8], self.evaluate(dist.batch_shape_tensor()))
      self.assertEqual(tf.TensorShape([8]), 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 4 for calling the PERTTest obj's underlying member method code with example usage: obj.testBroadcastingParam() without return types