def METHOD_NAME(self):
    audio = MonoLoader(filename=join(testdata.audio_dir, 'recorded', 'techno_loop.wav'))()
    # This test case will use peak parameters slighlt ifferent from default from recording techno_loop.wav
    onsets = SuperFluxExtractor(combine=20,frameSize=2048,hopSize=256,ratioThreshold=8,
        sampleRate=44100,threshold=0.25)(audio)
    # This commented out code was used to obtain reference samples for storing in a file.
    # save('superfluxtechno', onsets)        
    # Reference samples are loaded as expected values
    expected_superflux = load(join(filedir(), 'superflux/superfluxtechno.npy'))
    self.assertAlmostEqualVector(onsets, expected_superflux, 1e-5)