code: def testHalfCauchyEntropy(self):
      batch_size = 6
      loc_ = 2.0
      loc = self._create_placeholder_with_default(
          [loc_] * batch_size, name="loc"
      )
      scale_ = 3.0
      scale = self._create_placeholder_with_default(
          [scale_] * batch_size, name="scale"
      )
      dist = half_cauchy.HalfCauchy(loc, scale, validate_args=True)
      entropy = dist.entropy()
      if self.use_static_shape or tf.executing_eagerly():
          expected_shape = tf.TensorShape((batch_size,))
      else:
          expected_shape = tf.TensorShape(None)
      self.assertEqual(entropy.shape, expected_shape)
      self.assertAllEqual(
          self.evaluate(tf.shape(entropy)), (batch_size,)
      )
      self.assertAllClose(
          self.evaluate(entropy),
          [stats.halfcauchy.entropy(loc_, scale_)] * batch_size,
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import half_cauchy
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 20 for calling the _HalfCauchyTest obj's underlying member method code with example usage: obj.testHalfCauchyEntropy() without return types