def METHOD_NAME():
    output_map = dict(
        outputLandmarksInACPCAlignedSpace=dict(
            extensions=None,
        ),
        outputLandmarksInInputSpace=dict(
            extensions=None,
        ),
        outputMRML=dict(
            extensions=None,
        ),
        outputResampledVolume=dict(
            extensions=None,
        ),
        outputTransform=dict(
            extensions=None,
        ),
        outputUntransformedClippedVolume=dict(
            extensions=None,
        ),
        outputVerificationScript=dict(
            extensions=None,
        ),
        outputVolume=dict(
            extensions=None,
        ),
        resultsDir=dict(),
        writeBranded2DImage=dict(
            extensions=None,
        ),
    )
    outputs = BRAINSConstellationDetector.output_spec()
    for key, metadata in list(output_map.items()):
        for metakey, value in list(metadata.items()):
            assert getattr(outputs.traits()[key], metakey) == value