code: def testLogits(self):
      logits = [-42.0, 42.0]
      dist = continuous_bernoulli.ContinuousBernoulli(
          logits=logits, validate_args=True
      )
      self.assertAllClose(logits, self.evaluate(dist.logits))
      self.assertAllClose(
          sp_special.expit(logits),
          self.evaluate(dist.probs_parameter()),
      )
  
      prob = [0.01, 0.99, 0.42]
      dist = continuous_bernoulli.ContinuousBernoulli(
          probs=prob, validate_args=True
      )
      self.assertAllClose(
          sp_special.logit(prob), self.evaluate(dist.logits_parameter())
      )
  
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 2 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testLogits() without return types