code: def testHalfNormalShape(self):
      scale = tf.constant([6.0] * 5)
      halfnorm = half_normal.HalfNormal(scale=scale, validate_args=True)
  
      self.assertEqual(
          self.evaluate(halfnorm.batch_shape_tensor()), [5]
      )
      self.assertEqual(halfnorm.batch_shape, tf.TensorShape([5]))
      self.assertAllEqual(
          self.evaluate(halfnorm.event_shape_tensor()), []
      )
      self.assertEqual(halfnorm.event_shape, tf.TensorShape([]))
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import half_normal
  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 24 for calling the HalfNormalTest obj's underlying member method code with example usage: obj.testHalfNormalShape() without return types