code: def test_SVMTest_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          classout=dict(
              argstr="-classout",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="-testvol %s",
              extensions=None,
              mandatory=True,
          ),
          model=dict(
              argstr="-model %s",
              mandatory=True,
          ),
          multiclass=dict(
              argstr="-multiclass %s",
          ),
          nodetrend=dict(
              argstr="-nodetrend",
          ),
          nopredcensord=dict(
              argstr="-nopredcensord",
          ),
          num_threads=dict(
              nohash=True,
              usedefault=True,
          ),
          options=dict(
              argstr="%s",
          ),
          out_file=dict(
              argstr="-predictions %s",
              extensions=None,
              name_template="%s_predictions",
          ),
          outputtype=dict(),
          testlabels=dict(
              argstr="-testlabels %s",
              extensions=None,
          ),
      )
      inputs = SVMTest.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_SVMTest_inputs() without return types