code: def test_SurfaceTransform_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          hemi=dict(
              argstr="--hemi %s",
              mandatory=True,
          ),
          out_file=dict(
              argstr="--tval %s",
              extensions=None,
              genfile=True,
          ),
          reshape=dict(
              argstr="--reshape",
          ),
          reshape_factor=dict(
              argstr="--reshape-factor",
          ),
          source_annot_file=dict(
              argstr="--sval-annot %s",
              extensions=None,
              mandatory=True,
              xor=["source_file"],
          ),
          source_file=dict(
              argstr="--sval %s",
              extensions=None,
              mandatory=True,
              xor=["source_annot_file"],
          ),
          source_subject=dict(
              argstr="--srcsubject %s",
              mandatory=True,
          ),
          source_type=dict(
              argstr="--sfmt %s",
              requires=["source_file"],
          ),
          subjects_dir=dict(),
          target_ico_order=dict(
              argstr="--trgicoorder %d",
          ),
          target_subject=dict(
              argstr="--trgsubject %s",
              mandatory=True,
          ),
          target_type=dict(
              argstr="--tfmt %s",
          ),
      )
      inputs = SurfaceTransform.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_SurfaceTransform_inputs() without return types