class_docstr: Tests correctness of the weibull bijector.
class_docstr_tok: ["Tests","correctness","of","the","weibull","bijector","."]
code: def testAsserts(self):
      with self.assertRaisesOpError(
          "Argument `scale` must be positive."
      ):
          b = weibull_cdf.WeibullCDF(
              concentration=1.0, scale=-1.0, validate_args=True
          )
          self.evaluate(b.forward(3.0))
      with self.assertRaisesOpError(
          "Argument `concentration` must be positive."
      ):
          b = weibull_cdf.WeibullCDF(
              concentration=-1.0, scale=1.0, validate_args=True
          )
          self.evaluate(b.inverse(0.5))
  
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 5 for calling the WeibullCDFBijectorTest obj's underlying member method code with example usage: obj.testAsserts() without return types