code: def testAssertValidSample(self):
      low = [1.0, 2.0, 3.0]
      peak = [2.0, 3.0, 4.0]
      high = [3.0, 4.0, 5.0]
      dist = pert.PERT(low, peak, high, validate_args=True)
      with self.assertRaisesOpError(
          "must be greater than or equal to `low`."
      ):
          self.evaluate(dist.prob([1.3, 1.0, 3.5]))
      with self.assertRaisesOpError(
          "must be less than or equal to `high`."
      ):
          self.evaluate(dist.prob([2.1, 3.2, 5.2]))
  
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 16 for calling the PERTTest obj's underlying member method code with example usage: obj.testAssertValidSample() without return types