code: def test_CFFConverter_inputs():
      input_map = dict(
          creator=dict(),
          data_files=dict(),
          description=dict(
              usedefault=True,
          ),
          email=dict(),
          gifti_labels=dict(),
          gifti_surfaces=dict(),
          gpickled_networks=dict(),
          graphml_networks=dict(),
          license=dict(),
          nifti_volumes=dict(),
          out_file=dict(
              extensions=None,
              usedefault=True,
          ),
          publisher=dict(),
          references=dict(),
          relation=dict(),
          rights=dict(),
          script_files=dict(),
          species=dict(
              usedefault=True,
          ),
          timeseries_files=dict(),
          title=dict(),
          tract_files=dict(),
      )
      inputs = CFFConverter.input_spec()
  
      for key, metadata in list(input_map.items()):
          for metakey, value in list(metadata.items()):
              assert getattr(inputs.traits()[key], metakey) == value
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_CFFConverter_inputs() without return types