class_docstr: Tests correctness of the power transformation.
class_docstr_tok: ["Tests","correctness","of","the","power","transformation","."]
code: def testKurtosis(self):
      x = np.logspace(-2, 2, 1000).astype(np.float32)
      tailweight = [[0.5], [1.0], [2.0]]
      bijector = sinh_arcsinh.SinhArcsinh(
          tailweight=tailweight, validate_args=True
      )
      y = self.evaluate(bijector.forward(x))
      mean = np.mean(x, axis=-1)
      stddev = np.std(x, axis=-1, ddof=0)
      kurtosis = np.mean((y - mean) ** 4, axis=-1) / (stddev**4)
      self.assertAllClose(kurtosis, np.sort(kurtosis))
  
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 3 for calling the SinhArcsinhTest obj's underlying member method code with example usage: obj.testKurtosis() without return types