code: def test_WarpPoints_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          coord_mm=dict(
              argstr="-mm",
              xor=["coord_vox"],
          ),
          coord_vox=dict(
              argstr="-vox",
              xor=["coord_mm"],
          ),
          dest_file=dict(
              argstr="-dest %s",
              extensions=None,
              mandatory=True,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_coords=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=-1,
          ),
          out_file=dict(
              extensions=None,
              name_source="in_coords",
              name_template="%s_warped",
              output_name="out_file",
          ),
          src_file=dict(
              argstr="-src %s",
              extensions=None,
              mandatory=True,
          ),
          warp_file=dict(
              argstr="-warp %s",
              extensions=None,
              xor=["xfm_file"],
          ),
          xfm_file=dict(
              argstr="-xfm %s",
              extensions=None,
              xor=["warp_file"],
          ),
      )
      inputs = WarpPoints.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_WarpPoints_inputs() without return types