code: def testCauchyEntropy(self):
      loc = np.array([1.0, 1.0, 1.0])
      scale = np.array([[1.0, 2.0, 3.0]])
      dist = cauchy.Cauchy(loc=loc, scale=scale, validate_args=True)
  
      entropy = dist.entropy()
      self.assertAllEqual(
          self.evaluate(dist.batch_shape_tensor()), entropy.shape
      )
      self.assertAllEqual(
          self.evaluate(dist.batch_shape_tensor()),
          self.evaluate(entropy).shape,
      )
      self.assertAllEqual(dist.batch_shape, entropy.shape)
      self.assertAllEqual(
          dist.batch_shape, self.evaluate(entropy).shape
      )
  
      expected_entropy = (
          sp_stats.cauchy(loc, scale[0]).entropy().reshape((1, 3))
      )
      self.assertAllClose(expected_entropy, self.evaluate(entropy))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import cauchy
  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 14 for calling the CauchyTest obj's underlying member method code with example usage: obj.testCauchyEntropy() without return types