code: def quantile(p, probs):
      # do not evaluate close to 0.5
      return (
          np.log1p(p * (2.0 * probs - 1.0) - probs) - np.log1p(-probs)
      ) / (np.log(probs) - np.log1p(-probs))
  
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 8 for calling a global function with example usage: quantile(p, probs) and returns: unknown