code: def testSampleAtExtremesIsNotNaN(self):
      prob = [[0.0], [1.0]]
      dist = continuous_bernoulli.ContinuousBernoulli(
          probs=prob, validate_args=True
      )
      self.assertAllNotNan(
          self.evaluate(
              dist.sample(int(1e2), seed=test_util.test_seed())
          )
      )
  
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 32 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testSampleAtExtremesIsNotNaN() without return types