def restart_one(self, i):
        """
        Reinitialize a given population member.
        """
        self.points[i] = 5. - 10. * np.random.rand(self.fi.dim)
        self.values[i] = 1e10
        self.minimizers[i] = self._minimizer_make(i)
        self.iters[i] = 0

        #y = self.fi.f.evalfun(self.points[i]) # This is just for the debug print
        #print("#%d reached local optimum %s=%s" % (i, self.points[i], y))
        #time.sleep(1)
dataset/ETHPy150Open pasky/cocopf/population.py/Population.restart_one/swapped operands of `-`