code: def test_Unifize_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          cl_frac=dict(
              argstr="-clfrac %f",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          epi=dict(
              argstr="-EPI",
              requires=["no_duplo", "t2"],
              xor=["gm"],
          ),
          gm=dict(
              argstr="-GM",
          ),
          in_file=dict(
              argstr="-input %s",
              copyfile=False,
              extensions=None,
              mandatory=True,
              position=-1,
          ),
          no_duplo=dict(
              argstr="-noduplo",
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          out_file=dict(
              argstr="-prefix %s",
              extensions=None,
              name_source="in_file",
              name_template="%s_unifized",
          ),
          outputtype=dict(),
          quiet=dict(
              argstr="-quiet",
          ),
          rbt=dict(
              argstr="-rbt %f %f %f",
          ),
          scale_file=dict(
              argstr="-ssave %s",
              extensions=None,
          ),
          t2=dict(
              argstr="-T2",
          ),
          t2_up=dict(
              argstr="-T2up %f",
          ),
          urad=dict(
              argstr="-Urad %s",
          ),
      )
      inputs = Unifize.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_Unifize_inputs() without return types