code: def testEntropyAgainstSampling(self):
      cutpoints = self._random_cutpoints([4])
      loc = self._random_location([])
      dist = ol.OrderedLogistic(cutpoints=cutpoints, loc=loc)
      samples = dist.sample(int(1e5), seed=test_util.test_seed())
      entropy_samples = self.evaluate(-dist.log_prob(samples))
      entropy = self.evaluate(dist.entropy())
      self.assertAllMeansClose(
          entropy_samples, entropy, axis=0, atol=0.01
      )
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import ascending
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import ordered_logistic
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the OrderedLogisticTest obj's underlying member method code with example usage: obj.testEntropyAgainstSampling() without return types