code: def test_ComputeTensorTrace_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="< %s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          inputdatatype=dict(
              argstr="-inputdatatype %s",
          ),
          inputmodel=dict(
              argstr="-inputmodel %s",
          ),
          out_file=dict(
              argstr="> %s",
              extensions=None,
              genfile=True,
              position=-1,
          ),
          outputdatatype=dict(
              argstr="-outputdatatype %s",
          ),
          scheme_file=dict(
              argstr="%s",
              extensions=None,
              position=2,
          ),
      )
      inputs = ComputeTensorTrace.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_ComputeTensorTrace_inputs() without return types