code: def testLaplaceQuantile(self):
      qs = self.evaluate(
          tf.concat(
              [
                  [0.0, 1],
                  samplers.uniform(
                      [10],
                      minval=0.1,
                      maxval=0.9,
                      seed=test_util.test_seed(),
                  ),
              ],
              axis=0,
          )
      )
      d = laplace.Laplace(loc=1.0, scale=1.3, validate_args=True)
      vals = d.quantile(qs)
      self.assertAllClose([-np.inf, np.inf], vals[:2])
      self.assertAllClose(qs[2:], d.cdf(vals[2:]))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import laplace
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 7 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceQuantile() without return types