code: def test_CorticalThickness_outputs():
      output_map = dict(
          BrainExtractionMask=dict(
              extensions=None,
          ),
          BrainSegmentation=dict(
              extensions=None,
          ),
          BrainSegmentationN4=dict(
              extensions=None,
          ),
          BrainSegmentationPosteriors=dict(),
          BrainVolumes=dict(
              extensions=None,
          ),
          CorticalThickness=dict(
              extensions=None,
          ),
          CorticalThicknessNormedToTemplate=dict(
              extensions=None,
          ),
          ExtractedBrainN4=dict(
              extensions=None,
          ),
          SubjectToTemplate0GenericAffine=dict(
              extensions=None,
          ),
          SubjectToTemplate1Warp=dict(
              extensions=None,
          ),
          SubjectToTemplateLogJacobian=dict(
              extensions=None,
          ),
          TemplateToSubject0Warp=dict(
              extensions=None,
          ),
          TemplateToSubject1GenericAffine=dict(
              extensions=None,
          ),
      )
      outputs = CorticalThickness.output_spec()
  
      for key, metadata in list(output_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(outputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_CorticalThickness_outputs() without return types