code: def testPmfWithP(self):
      p = [[0.2, 0.4], [0.3, 0.6]]
      self._testPmf(probs=p, validate_args=True)
      self._testPmf(probits=sp_special.ndtri(p), validate_args=True)
  
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 10 for calling the ProbitBernoulliTest obj's underlying member method code with example usage: obj.testPmfWithP() without return types