code: def testPmfInvalid(self):
      p = [0.1, 0.2, 0.7]
      dist = probit_bernoulli.ProbitBernoulli(
          probs=p, validate_args=True
      )
      with self.assertRaisesOpError("must be non-negative."):
          self.evaluate(dist.prob([1, 1, -1]))
      with self.assertRaisesOpError("Elements cannot exceed 1."):
          self.evaluate(dist.prob([2, 0, 1]))
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import probit_bernoulli
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 9 for calling the ProbitBernoulliTest obj's underlying member method code with example usage: obj.testPmfInvalid() without return types