def __call__(self, R):
        ranks = rankedFitness(R)
        ranks = (len(R) - 1.0) / ranks
        return exp(ranks * self.temperature)
dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/rankingfunctions.py/ExponentialRanking.__call__/swapped operands of `/`