code: def testPertShape(self):
      dist = pert.PERT(
          low=[3.0],
          peak=[10.0],
          high=[11.0],
          temperature=[4.0],
          validate_args=True,
      )
      self.assertEqual(([1]), self.evaluate(dist.batch_shape_tensor()))
      self.assertEqual(tf.TensorShape([1]), 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 2 for calling the PERTTest obj's underlying member method code with example usage: obj.testPertShape() without return types