code: def testHorseshoeMeanAndMode(self):
      scale = self._test_param([11.0, 12.0, 13.0])
  
      dist = horseshoe.Horseshoe(scale=scale, validate_args=True)
  
      self.assertAllEqual((3,), self.evaluate(dist.mean()).shape)
      self.assertAllEqual([0.0, 0.0, 0.0], self.evaluate(dist.mean()))
  
      self.assertAllEqual((3,), self.evaluate(dist.mode()).shape)
      self.assertAllEqual([0.0, 0.0, 0.0], self.evaluate(dist.mode()))
  
imports: import numpy
  import scipy.stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import horseshoe
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 5 for calling the _HorseshoeTest obj's underlying member method code with example usage: obj.testHorseshoeMeanAndMode() without return types