code: def test_RobustFOV_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          brainsize=dict(
              argstr="-b %d",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
              position=0,
          ),
          out_roi=dict(
              argstr="-r %s",
              extensions=None,
              hash_files=False,
              name_source=["in_file"],
              name_template="%s_ROI",
          ),
          out_transform=dict(
              argstr="-m %s",
              extensions=None,
              hash_files=False,
              name_source=["in_file"],
              name_template="%s_to_ROI",
          ),
          output_type=dict(),
      )
      inputs = RobustFOV.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_RobustFOV_inputs() without return types