def getReward(self):
        #Assigns reward based on a modified power low distribution
        x = np.abs(self.env.getTilt())
        if x<3*LinearFATileCoding3456BalanceTask.max_tilt/2.0:
            R = -(x+self.b_reward)**0.3
        else:
            R = -5.0
        return R
dataset/ETHPy150Open chrisdembia/agent-bicycle/randlov1998/tasks_old.py/LinearFATileCoding3456BalanceTaskRewardFunky.getReward/swapped operands of `/`