code: def testPdfWithFloatArg(self):
      prob = [[0.2], [0.4], [0.3], [0.6]]
      samps = [0.1, 0.2, 0.8]
      self.assertAllClose(
          np.log(pdf(samps, prob)),
          self.evaluate(
              continuous_bernoulli.ContinuousBernoulli(
                  probs=prob, validate_args=False
              ).log_prob(samps)
          ),
      )
  
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 10 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testPdfWithFloatArg() without return types