code: def testQuantile(self):
      prob = 0.2
      dist = continuous_bernoulli.ContinuousBernoulli(
          probs=prob, validate_args=True
      )
      self.assertAllClose(
          self.evaluate(
              dist.quantile(np.array([0.1, 0.3, 0.9], dtype=np.float32))
          ),
          np.array(
              [
                  quantile(0.1, 0.2),
                  quantile(0.3, 0.2),
                  quantile(0.9, 0.2),
              ],
              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 29 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testQuantile() without return types