code: def test_CALabel_inputs():
      input_map = dict(
          align=dict(
              argstr="-align",
          ),
          args=dict(
              argstr="%s",
          ),
          aseg=dict(
              argstr="-aseg %s",
              extensions=None,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-4,
          ),
          in_vol=dict(
              argstr="-r %s",
              extensions=None,
          ),
          intensities=dict(
              argstr="-r %s",
              extensions=None,
          ),
          label=dict(
              argstr="-l %s",
              extensions=None,
          ),
          no_big_ventricles=dict(
              argstr="-nobigventricles",
          ),
          num_threads=dict(),
          out_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-1,
          ),
          prior=dict(
              argstr="-prior %.1f",
          ),
          relabel_unlikely=dict(
              argstr="-relabel_unlikely %d %.1f",
          ),
          subjects_dir=dict(),
          template=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          transform=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-3,
          ),
      )
      inputs = CALabel.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_CALabel_inputs() without return types