code: def test_MRIsExpand_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          distance=dict(
              argstr="%g",
              mandatory=True,
              position=-2,
          ),
          dt=dict(
              argstr="-T %g",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              copyfile=False,
              extensions=None,
              mandatory=True,
              position=-3,
          ),
          nsurfaces=dict(
              argstr="-N %d",
          ),
          out_name=dict(
              argstr="%s",
              position=-1,
              usedefault=True,
          ),
          pial=dict(
              argstr="-pial %s",
              copyfile=False,
          ),
          smooth_averages=dict(
              argstr="-A %d",
          ),
          sphere=dict(
              copyfile=False,
              usedefault=True,
          ),
          spring=dict(
              argstr="-S %g",
          ),
          subjects_dir=dict(),
          thickness=dict(
              argstr="-thickness",
          ),
          thickness_name=dict(
              argstr="-thickness_name %s",
              copyfile=False,
          ),
          write_iterations=dict(
              argstr="-W %d",
          ),
      )
      inputs = MRIsExpand.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_MRIsExpand_inputs() without return types