class_docstr: Tests correctness of the power transformation.
class_docstr_tok: ["Tests","correctness","of","the","power","transformation","."]
code: def testZeroTailweightRaises(self):
      with self.assertRaisesOpError(
          "Argument `tailweight` must be positive"
      ):
          self.evaluate(
              sinh_arcsinh.SinhArcsinh(
                  tailweight=0.0, validate_args=True
              ).forward(1.0)
          )
  
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 10 for calling the SinhArcsinhTest obj's underlying member method code with example usage: obj.testZeroTailweightRaises() without return types