code: def test_Skullfinder_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          bgLabelValue=dict(
              argstr="--bglabel %d",
          ),
          brainLabelValue=dict(
              argstr="--brainlabel %d",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputMRIFile=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
          ),
          inputMaskFile=dict(
              argstr="-m %s",
              extensions=None,
              mandatory=True,
          ),
          lowerThreshold=dict(
              argstr="-l %d",
          ),
          outputLabelFile=dict(
              argstr="-o %s",
              extensions=None,
              genfile=True,
          ),
          performFinalOpening=dict(
              argstr="--finalOpening",
          ),
          scalpLabelValue=dict(
              argstr="--scalplabel %d",
          ),
          skullLabelValue=dict(
              argstr="--skulllabel %d",
          ),
          spaceLabelValue=dict(
              argstr="--spacelabel %d",
          ),
          surfaceFilePrefix=dict(
              argstr="-s %s",
          ),
          upperThreshold=dict(
              argstr="-u %d",
          ),
          verbosity=dict(
              argstr="-v %d",
          ),
      )
      inputs = Skullfinder.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_Skullfinder_inputs() without return types