def METHOD_NAME():
    input_map = dict(
        BackgroundFillValue=dict(
            argstr="--BackgroundFillValue %s",
        ),
        LLSModel=dict(
            argstr="--LLSModel %s",
            extensions=None,
        ),
        acLowerBound=dict(
            argstr="--acLowerBound %f",
        ),
        args=dict(
            argstr="%s",
        ),
        atlasLandmarkWeights=dict(
            argstr="--atlasLandmarkWeights %s",
            extensions=None,
        ),
        atlasLandmarks=dict(
            argstr="--atlasLandmarks %s",
            extensions=None,
        ),
        atlasVolume=dict(
            argstr="--atlasVolume %s",
            extensions=None,
        ),
        cutOutHeadInOutputVolume=dict(
            argstr="--cutOutHeadInOutputVolume ",
        ),
        debug=dict(
            argstr="--debug ",
        ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        forceACPoint=dict(
            argstr="--forceACPoint %s",
            sep=",",
        ),
        forceHoughEyeDetectorReportFailure=dict(
            argstr="--forceHoughEyeDetectorReportFailure ",
        ),
        forcePCPoint=dict(
            argstr="--forcePCPoint %s",
            sep=",",
        ),
        forceRPPoint=dict(
            argstr="--forceRPPoint %s",
            sep=",",
        ),
        forceVN4Point=dict(
            argstr="--forceVN4Point %s",
            sep=",",
        ),
        houghEyeDetectorMode=dict(
            argstr="--houghEyeDetectorMode %d",
        ),
        inputLandmarksEMSP=dict(
            argstr="--inputLandmarksEMSP %s",
            extensions=None,
        ),
        inputTemplateModel=dict(
            argstr="--inputTemplateModel %s",
            extensions=None,
        ),
        inputVolume=dict(
            argstr="--inputVolume %s",
            extensions=None,
        ),
        interpolationMode=dict(
            argstr="--interpolationMode %s",
        ),
        mspQualityLevel=dict(
            argstr="--mspQualityLevel %d",
        ),
        numberOfThreads=dict(
            argstr="--numberOfThreads %d",
        ),
        otsuPercentileThreshold=dict(
            argstr="--otsuPercentileThreshold %f",
        ),
        outputLandmarksInACPCAlignedSpace=dict(
            argstr="--outputLandmarksInACPCAlignedSpace %s",
            hash_files=False,
        ),
        outputLandmarksInInputSpace=dict(
            argstr="--outputLandmarksInInputSpace %s",
            hash_files=False,
        ),
        outputMRML=dict(
            argstr="--outputMRML %s",
            hash_files=False,
        ),
        outputResampledVolume=dict(
            argstr="--outputResampledVolume %s",
            hash_files=False,
        ),
        outputTransform=dict(
            argstr="--outputTransform %s",
            hash_files=False,
        ),
        outputUntransformedClippedVolume=dict(
            argstr="--outputUntransformedClippedVolume %s",
            hash_files=False,
        ),
        outputVerificationScript=dict(
            argstr="--outputVerificationScript %s",
            hash_files=False,
        ),
        outputVolume=dict(
            argstr="--outputVolume %s",
            hash_files=False,
        ),
        rVN4=dict(
            argstr="--rVN4 %f",
        ),
        rac=dict(
            argstr="--rac %f",
        ),
        rescaleIntensities=dict(
            argstr="--rescaleIntensities ",
        ),
        rescaleIntensitiesOutputRange=dict(
            argstr="--rescaleIntensitiesOutputRange %s",
            sep=",",
        ),
        resultsDir=dict(
            argstr="--resultsDir %s",
            hash_files=False,
        ),
        rmpj=dict(
            argstr="--rmpj %f",
        ),
        rpc=dict(
            argstr="--rpc %f",
        ),
        trimRescaledIntensities=dict(
            argstr="--trimRescaledIntensities %f",
        ),
        verbose=dict(
            argstr="--verbose ",
        ),
        writeBranded2DImage=dict(
            argstr="--writeBranded2DImage %s",
            hash_files=False,
        ),
        writedebuggingImagesLevel=dict(
            argstr="--writedebuggingImagesLevel %d",
        ),
    )
    inputs = BRAINSConstellationDetector.input_spec()
    for key, metadata in list(input_map.items()):
        for metakey, value in list(metadata.items()):
            assert getattr(inputs.traits()[key], metakey) == value