code: def test_Warp_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          deoblique=dict(
              argstr="-deoblique",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          gridset=dict(
              argstr="-gridset %s",
              extensions=None,
          ),
          in_file=dict(
              argstr="%s",
              copyfile=False,
              extensions=None,
              mandatory=True,
              position=-1,
          ),
          interp=dict(
              argstr="-%s",
          ),
          matparent=dict(
              argstr="-matparent %s",
              extensions=None,
          ),
          mni2tta=dict(
              argstr="-mni2tta",
          ),
          newgrid=dict(
              argstr="-newgrid %f",
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          oblique_parent=dict(
              argstr="-oblique_parent %s",
              extensions=None,
          ),
          out_file=dict(
              argstr="-prefix %s",
              extensions=None,
              keep_extension=True,
              name_source="in_file",
              name_template="%s_warp",
          ),
          outputtype=dict(),
          save_warp=dict(
              requires=["verbose"],
          ),
          tta2mni=dict(
              argstr="-tta2mni",
          ),
          verbose=dict(
              argstr="-verb",
          ),
          zpad=dict(
              argstr="-zpad %d",
          ),
      )
      inputs = Warp.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_Warp_inputs() without return types