code: def test_DTLUTGen_inputs():
      input_map = dict(
          acg=dict(
              argstr="-acg",
          ),
          args=dict(
              argstr="%s",
          ),
          bingham=dict(
              argstr="-bingham",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          frange=dict(
              argstr="-frange %s",
              position=1,
              units="NA",
          ),
          inversion=dict(
              argstr="-inversion %d",
              units="NA",
          ),
          lrange=dict(
              argstr="-lrange %s",
              position=1,
              units="NA",
          ),
          out_file=dict(
              argstr="> %s",
              extensions=None,
              genfile=True,
              position=-1,
          ),
          samples=dict(
              argstr="-samples %d",
              units="NA",
          ),
          scheme_file=dict(
              argstr="-schemefile %s",
              extensions=None,
              mandatory=True,
              position=2,
          ),
          snr=dict(
              argstr="-snr %f",
              units="NA",
          ),
          step=dict(
              argstr="-step %f",
              units="NA",
          ),
          trace=dict(
              argstr="-trace %G",
              units="NA",
          ),
          watson=dict(
              argstr="-watson",
          ),
      )
      inputs = DTLUTGen.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_DTLUTGen_inputs() without return types