code: def testHorseshoeShape(self):
      scale = self._test_param([6.0] * 5)
      dist = horseshoe.Horseshoe(scale=scale, validate_args=True)
  
      self.assertEqual(self.evaluate(dist.batch_shape_tensor()), [5])
      if self.use_static_shape or tf.executing_eagerly():
          expected_batch_shape = [5]
      else:
          expected_batch_shape = None
      self.assertEqual(
          dist.batch_shape, tf.TensorShape(expected_batch_shape)
      )
      self.assertAllEqual(self.evaluate(dist.event_shape_tensor()), [])
      self.assertEqual(dist.event_shape, tf.TensorShape([]))
  
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 9 for calling the _HorseshoeTest obj's underlying member method code with example usage: obj.testHorseshoeShape() without return types