code: def testPmfInvalid(self):
      p = [0.1, 0.2, 0.7]
      dist = bernoulli.Bernoulli(probs=p, validate_args=True)
      with self.assertRaisesOpError("must be non-negative."):
          self.evaluate(dist.prob([1, 1, -1]))
      with self.assertRaisesOpError(
          "must be less than or equal to `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 bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import samplers
  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 BernoulliTest obj's underlying member method code with example usage: obj.testPmfInvalid() without return types