def _averageWithParents(self, pop, childportion):
        for i, p in enumerate(pop[:]):
            if p.parent != None:
                tmp = p.copy()
                tmp.parent = p.parent
                tmp._setParameters(p.params * childportion + p.parent.params * (childportion - 1))
                pop[i] = tmp
dataset/ETHPy150Open pybrain/pybrain/pybrain/optimization/populationbased/coevolution/coevolution.py/Coevolution._averageWithParents/swapped operands of `-`