code: def _testParamStaticShapes(self, sample_shape, expected):
      param_shapes = half_normal.HalfNormal.param_static_shapes(
          sample_shape
      )
      scale_shape = param_shapes["scale"]
      self.assertEqual(expected, scale_shape)
  
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 5 for calling the HalfNormalTest obj's underlying member method code with example usage: obj._testParamStaticShapes(sample_shape, expected) without return types