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 testBasic(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 = neals_funnel.NealsFunnel(ndims=3)
      self.validate_log_prob_and_transforms(
          model,
          sample_transformation_shapes=dict(identity=[3]),
          check_ground_truth_mean=True,
          check_ground_truth_standard_deviation=True,
      )
  
imports: from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import neals_funnel
label_desc: Use image node_id 1 for calling the NealsFunnelTest obj's underlying member method code with example usage: obj.testBasic() without return types