class_docstr: Tests correctness of the power transformation.
class_docstr_tok: ["Tests","correctness","of","the","power","transformation","."]
code: def testBijectiveAndFiniteSkewnessNeg1Tailweight0p5(self):
      bijector = sinh_arcsinh.SinhArcsinh(
          skewness=-1.0, tailweight=0.5, validate_args=True
      )
      x = np.concatenate(
          (-np.logspace(-2, 10, 1000), [0], np.logspace(-2, 10, 1000))
      ).astype(np.float32)
      bijector_test_util.assert_bijective_and_finite(
          bijector,
          x,
          x,
          eval_func=self.evaluate,
          event_ndims=0,
          rtol=1e-3,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/sinh_arcsinh_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import sinh_arcsinh
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 6 for calling the SinhArcsinhTest obj's underlying member method code with example usage: obj.testBijectiveAndFiniteSkewnessNeg1Tailweight0p5() without return types