code: def testPmfWithP(self):
      p = [[0.2, 0.4], [0.3, 0.6]]
      self._testPmf(probs=p)
      if not special:
          return
      self._testPmf(logits=special.logit(p))
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.distributions import bernoulli
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 9 for calling the BernoulliTest obj's underlying member method code with example usage: obj.testPmfWithP() without return types