class_docstr: Tests correctness of the `GeneralizedPareto` bijector.
code: def testBijectiveAndFinitePositiveConcentration(self):
      loc = 5.0
      x = np.linspace(-10.0, 20.0, 20).astype(np.float32)
      y = np.linspace(loc + 1e-3, 20.0, 20).astype(np.float32)
      bijector_test_util.assert_bijective_and_finite(
          generalized_pareto.GeneralizedPareto(
              loc=loc, scale=2.0, concentration=1.0, validate_args=True
          ),
          x,
          y,
          eval_func=self.evaluate,
          event_ndims=0,
          atol=1e-2,
          rtol=1e-2,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/generalized_pareto_test.py
imports: import numpy
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import generalized_pareto
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the GeneralizedParetoTest obj's underlying member method code with example usage: obj.testBijectiveAndFinitePositiveConcentration() without return types