code: def test_PETStandardUptakeValueComputation_inputs():
      input_map = dict(
          OutputLabel=dict(
              argstr="--OutputLabel %s",
          ),
          OutputLabelValue=dict(
              argstr="--OutputLabelValue %s",
          ),
          SUVMax=dict(
              argstr="--SUVMax %s",
          ),
          SUVMean=dict(
              argstr="--SUVMean %s",
          ),
          SUVMin=dict(
              argstr="--SUVMin %s",
          ),
          args=dict(
              argstr="%s",
          ),
          color=dict(
              argstr="--color %s",
              extensions=None,
          ),
          csvFile=dict(
              argstr="--csvFile %s",
              hash_files=False,
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          labelMap=dict(
              argstr="--labelMap %s",
              extensions=None,
          ),
          petDICOMPath=dict(
              argstr="--petDICOMPath %s",
          ),
          petVolume=dict(
              argstr="--petVolume %s",
              extensions=None,
          ),
      )
      inputs = PETStandardUptakeValueComputation.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_PETStandardUptakeValueComputation_inputs() without return types