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