code: def test_Edge3_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          datum=dict(
              argstr="-datum %s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fscale=dict(
              argstr="-fscale",
              xor=["gscale", "nscale", "scale_floats"],
          ),
          gscale=dict(
              argstr="-gscale",
              xor=["fscale", "nscale", "scale_floats"],
          ),
          in_file=dict(
              argstr="-input %s",
              copyfile=False,
              extensions=None,
              mandatory=True,
              position=0,
          ),
          nscale=dict(
              argstr="-nscale",
              xor=["fscale", "gscale", "scale_floats"],
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          out_file=dict(
              argstr="-prefix %s",
              extensions=None,
              position=-1,
          ),
          outputtype=dict(),
          scale_floats=dict(
              argstr="-scale_floats %f",
              xor=["fscale", "gscale", "nscale"],
          ),
          verbose=dict(
              argstr="-verbose",
          ),
      )
      inputs = Edge3.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_Edge3_inputs() without return types