class_docstr: Tests correctness of the weibull bijector.
class_docstr_tok: ["Tests","correctness","of","the","weibull","bijector","."]
code: def testBijectorConcentration1LogDetJacobianFiniteAtZero(self):
      # When concentration = 1., forward_log_det_jacobian should be finite at
      # zero.
      scale = np.logspace(0.1, 10.0, num=20).astype(np.float32)
      bijector = weibull_cdf.WeibullCDF(scale, concentration=1.0)
      fldj = self.evaluate(
          bijector.forward_log_det_jacobian(0.0, event_ndims=0)
      )
      self.assertAllEqual(
          np.ones_like(fldj, dtype=np.bool_), np.isfinite(fldj)
      )
  
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 2 for calling the WeibullCDFBijectorTest obj's underlying member method code with example usage: obj.testBijectorConcentration1LogDetJacobianFiniteAtZero() without return types