code: def test_Smooth_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fwhm=dict(
              argstr="-kernel gauss %.03f -fmean",
              mandatory=True,
              position=1,
              xor=["sigma"],
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=0,
          ),
          output_type=dict(),
          sigma=dict(
              argstr="-kernel gauss %.03f -fmean",
              mandatory=True,
              position=1,
              xor=["fwhm"],
          ),
          smoothed_file=dict(
              argstr="%s",
              extensions=None,
              hash_files=False,
              name_source=["in_file"],
              name_template="%s_smooth",
              position=2,
          ),
      )
      inputs = Smooth.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_Smooth_inputs() without return types