code: def testExponentialQuantileIsInverseOfCdf(self):
      dist = exponential.Exponential(
          rate=[1.0, 2.0], validate_args=False
      )
      values = [2 * [t / 10.0] for t in range(0, 11)]
      result = self.evaluate(dist.cdf(dist.quantile(values)))
      self.assertAllClose(result, values)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 16 for calling the ExponentialTest obj's underlying member method code with example usage: obj.testExponentialQuantileIsInverseOfCdf() without return types