code: def testPdfWithprob(self):
      prob = [[0.2, 0.4], [0.3, 0.6]]
      self._testPdf(probs=prob)
      self._testPdf(logits=sp_special.logit(prob))
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import continuous_bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  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 ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testPdfWithprob() without return types