docstr: Checks that you get finite values given unconstrained samples.
  
  We check `unnormalized_log_prob` as well as the values of the sample
  transformations.
docstr_tok: ["Checks","that","you","get","finite","values","given","unconstrained","samples",".","We","check","`","unnormalized_log_prob","`","as","well","as","the","values","of","the","sample","transformations","."]
code: def testRadon(self):
      """Checks that you get finite values given unconstrained samples.
  
      We check `unnormalized_log_prob` as well as the values of the sample
      transformations.
      """
      model = self.build_model(dtype=tf.float32)
      self.validate_log_prob_and_transforms(
          model,
          sample_transformation_shapes=dict(
              identity={
                  "county_effect_mean": [],
                  "county_effect_scale": [],
                  "county_effect": [self.num_counties],
                  "weight": [3],
                  "log_radon_scale": [],
              },
              test_nll=[],
              per_example_test_nll=[],
          ),
          check_ground_truth_mean_standard_error=True,
          check_ground_truth_mean=True,
          check_ground_truth_standard_deviation=True,
      )
      self.assertSameElements(
          tf.nest.flatten(model.dtype), [tf.float32]
      )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import radon_contextual_effects
label_desc: Use image node_id 1 for calling the _RadonContextualEffectsWithDataTest obj's underlying member method code with example usage: obj.testRadon() without return types