class_docstr: Tests correctness of the weibull bijector.
class_docstr_tok: ["Tests","correctness","of","the","weibull","bijector","."]
code: def testBijectiveAndFinite(self):
      bijector = weibull_cdf.WeibullCDF(
          scale=20.0, concentration=2.0, validate_args=True
      )
      x = np.linspace(1.0, 8.0, num=10).astype(np.float32)
      y = np.linspace(
          -np.expm1(-1 / 400.0), -np.expm1(-16), num=10
      ).astype(np.float32)
      bijector_test_util.assert_bijective_and_finite(
          bijector,
          x,
          y,
          eval_func=self.evaluate,
          event_ndims=0,
          rtol=1e-3,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/weibull_cdf_test.py
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import weibull_cdf
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the WeibullCDFBijectorTest obj's underlying member method code with example usage: obj.testBijectiveAndFinite() without return types