class_docstr: Tests the correctness of the Y = X ** K transformation.
class_docstr_tok: ["Tests","the","correctness","of","the","Y","=","X","*","*","K","transformation","."]
code: def testScalarCongruency(self):
      bijector = power_lib.Power(power=2.6, validate_args=True)
      bijector_test_util.assert_scalar_congruency(
          bijector,
          lower_x=1e-3,
          upper_x=1.5,
          eval_func=self.evaluate,
          n=1e5,
          rtol=0.08,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/power_test.py
imports: from absl.testing import parameterized
  import numpy
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import power
  from tensorflow_probability.python.bijectors import reciprocal
  from tensorflow_probability.python.bijectors import square
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the RaiseBijectorTest obj's underlying member method code with example usage: obj.testScalarCongruency() without return types