动态规划流水线作业调度代码

当涉及到动态规划流水线作业调度问题时，你可以使用以下的代码实现：

def find_optimal_schedule(jobs, times):
    n = len(jobs)
    dp = [0] * n
    sequence = [0] * n
    dp[0] = jobs[0]
 
    for i in range(1, n):
        dp[i] = jobs[i]
        sequence[i] = i
 
        for j in range(i):
            if times[j] < times[i]:
                temp = dp[j] + jobs[i]
                if temp > dp[i]:
                    dp[i] = temp
                    sequence[i] = j
 
    max_time = max(dp)
    idx = dp.index(max_time)
    optimal_schedule = []
 
    while sequence[idx] != idx:
        optimal_schedule.append(idx)
        idx = sequence[idx]
 
    optimal_schedule.append(idx)
    optimal_schedule.reverse()
 
    return max_time, optimal_schedule


# 测试代码
jobs = [1, 2, 3, 4, 5]
times = [3, 4, 1, 5, 2]
max_time, optimal_schedule = find_optimal_schedule(jobs, times)
print("最大完成时间:", max_time)
print("最优调度顺序:", optimal_schedule)

这段代码将根据输入的作业工序和对应的时间长度，通过动态规划的方式找到最优的作业调度顺序和完成时间。可以根据需要修改jobs和times的值进行测试。