code: def testEdgeRangeOutput(self):
      dist = pert.PERT(
          low=3.0,
          peak=10.0,
          high=11.0,
          temperature=4.0,
          validate_args=False,
      )
      self.assertEqual(
          True, self.evaluate(tf.math.is_nan(dist.prob(1.0)))
      )
      self.assertEqual(
          True, self.evaluate(tf.math.is_nan(dist.log_prob(1.0)))
      )
      self.assertEqual(1.0, self.evaluate(dist.cdf(11.0)))
      self.assertEqual(0.0, self.evaluate(dist.cdf(3.0)))
      self.assertEqual(
          1.0,
          self.evaluate(dist.cdf(3.0) + dist.survival_function(3.0)),
      )
      self.assertEqual(
          1.0,
          self.evaluate(dist.cdf(11.0) + dist.survival_function(11.0)),
      )
      self.assertEqual(
          1.0,
          self.evaluate(dist.cdf(5.0) + dist.survival_function(5.0)),
      )
      self.assertEqual(-float("inf"), self.evaluate(dist.log_cdf(3.0)))
      self.assertEqual(0.0, self.evaluate(dist.log_cdf(11.0)))
  
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 6 for calling the PERTTest obj's underlying member method code with example usage: obj.testEdgeRangeOutput() without return types