code: def test_LabelFusion_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          classifier_type=dict(
              argstr="-%s",
              mandatory=True,
              position=2,
          ),
          conv=dict(
              argstr="-conv %f",
          ),
          dilation_roi=dict(),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          file_to_seg=dict(
              extensions=None,
              mandatory=True,
          ),
          in_file=dict(
              argstr="-in %s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          kernel_size=dict(),
          mask_file=dict(
              argstr="-mask %s",
              extensions=None,
          ),
          max_iter=dict(
              argstr="-max_iter %d",
          ),
          mrf_value=dict(
              argstr="-MRF_beta %f",
          ),
          out_file=dict(
              argstr="-out %s",
              extensions=None,
              name_source=["in_file"],
              name_template="%s",
          ),
          prob_flag=dict(
              argstr="-outProb",
          ),
          prob_update_flag=dict(
              argstr="-prop_update",
          ),
          proportion=dict(
              argstr="-prop %s",
          ),
          set_pq=dict(
              argstr="-setPQ %f %f",
          ),
          sm_ranking=dict(
              argstr="-%s",
              position=3,
              usedefault=True,
          ),
          template_file=dict(
              extensions=None,
          ),
          template_num=dict(),
          unc=dict(
              argstr="-unc",
          ),
          unc_thresh=dict(
              argstr="-uncthres %f",
          ),
          verbose=dict(
              argstr="-v %s",
          ),
      )
      inputs = LabelFusion.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_LabelFusion_inputs() without return types