code: def test_CatMatvec_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fourxfour=dict(
              argstr="-4x4",
              xor=["matrix", "oneline"],
          ),
          in_file=dict(
              argstr="%s",
              mandatory=True,
              position=-2,
          ),
          matrix=dict(
              argstr="-MATRIX",
              xor=["oneline", "fourxfour"],
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          oneline=dict(
              argstr="-ONELINE",
              xor=["matrix", "fourxfour"],
          ),
          out_file=dict(
              argstr=" > %s",
              extensions=None,
              keep_extension=False,
              mandatory=True,
              name_source="in_file",
              name_template="%s_cat.aff12.1D",
              position=-1,
          ),
          outputtype=dict(),
      )
      inputs = CatMatvec.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_CatMatvec_inputs() without return types