code: def testLogisticEntropy(self):
      batch_size = 3
      np_loc = np.array([2.0] * batch_size, dtype=np.float32)
      loc = tf.constant(np_loc)
      scale = 1.5
      expected_entropy = stats.logistic.entropy(np_loc, scale)
      dist = logistic.Logistic(loc, scale, validate_args=True)
      self.assertAllClose(
          self.evaluate(dist.entropy()), expected_entropy
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the LogisticTest obj's underlying member method code with example usage: obj.testLogisticEntropy() without return types