code: def testQuantileAtExtremesIsNotNaN(self):
      prob = [[0.0], [1.0]]
      dist = continuous_bernoulli.ContinuousBernoulli(
          probs=prob, validate_args=True
      )
      self.assertAllNotNan(
          self.evaluate(
              dist.quantile(
                  np.array(
                      [[0.0, 0.1, 0.3, 0.9, 1.0]], dtype=np.float32
                  )
              )
          )
      )
  
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 30 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testQuantileAtExtremesIsNotNaN() without return types