code: def test_affSymTensor3DVolTask_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          deformation=dict(
              argstr="-deformation %g %g %g %g %g %g",
              xor=["transform"],
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          euler=dict(
              argstr="-euler %g %g %g",
              xor=["transform"],
          ),
          in_file=dict(
              argstr="-in %s",
              extensions=None,
              mandatory=True,
          ),
          interpolation=dict(
              argstr="-interp %s",
              usedefault=True,
          ),
          out_file=dict(
              argstr="-out %s",
              extensions=None,
              keep_extension=True,
              name_source="in_file",
              name_template="%s_affxfmd",
          ),
          reorient=dict(
              argstr="-reorient %s",
              usedefault=True,
          ),
          target=dict(
              argstr="-target %s",
              extensions=None,
              xor=["transform"],
          ),
          transform=dict(
              argstr="-trans %s",
              extensions=None,
              xor=["target", "translation", "euler", "deformation"],
          ),
          translation=dict(
              argstr="-translation %g %g %g",
              xor=["transform"],
          ),
      )
      inputs = affSymTensor3DVolTask.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_affSymTensor3DVolTask_inputs() without return types