code: def test_BRAINSCut_inputs():
      input_map = dict(
          NoTrainingVectorShuffling=dict(
              argstr="--NoTrainingVectorShuffling ",
          ),
          applyModel=dict(
              argstr="--applyModel ",
          ),
          args=dict(
              argstr="%s",
          ),
          computeSSEOn=dict(
              argstr="--computeSSEOn ",
          ),
          createVectors=dict(
              argstr="--createVectors ",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          generateProbability=dict(
              argstr="--generateProbability ",
          ),
          histogramEqualization=dict(
              argstr="--histogramEqualization ",
          ),
          method=dict(
              argstr="--method %s",
          ),
          modelConfigurationFilename=dict(
              argstr="--modelConfigurationFilename %s",
              extensions=None,
          ),
          modelFilename=dict(
              argstr="--modelFilename %s",
          ),
          multiStructureThreshold=dict(
              argstr="--multiStructureThreshold ",
          ),
          netConfiguration=dict(
              argstr="--netConfiguration %s",
              extensions=None,
          ),
          numberOfTrees=dict(
              argstr="--numberOfTrees %d",
          ),
          randomTreeDepth=dict(
              argstr="--randomTreeDepth %d",
          ),
          trainModel=dict(
              argstr="--trainModel ",
          ),
          trainModelStartIndex=dict(
              argstr="--trainModelStartIndex %d",
          ),
          validate=dict(
              argstr="--validate ",
          ),
          verbose=dict(
              argstr="--verbose %d",
          ),
      )
      inputs = BRAINSCut.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_BRAINSCut_inputs() without return types