def METHOD_NAME(self):
    # we expect a constant value of 0.5 for all DFA exponents for white noise
    # the values vary a little, so let's permit up to 0.1 absolute deviation
    wn_44100 = array(numpy.random.normal(loc=0, scale=1, size=44100*60*10))
    d, dfa = Danceability()(wn_44100)
    self.assertAlmostEqualVectorAbs(dfa, [0.5] * 35, 0.1)