动态高优先权优先调度算法轮转法python

以下是一个简单的动态高优先权优先调度算法轮转法的 Python 实现：

from collections import deque

class Process:
    def __init__(self, pid, burst_time, priority):
        self.pid = pid
        self.burst_time = burst_time
        self.priority = priority

    def __str__(self):
        return f"Process {self.pid} with burst time {self.burst_time} and priority {self.priority}"

    def execute(self, time):
        if self.burst_time > time:
            self.burst_time -= time
            return time
        else:
            time = self.burst_time
            self.burst_time = 0
            return time

def dynamic_priority_scheduling(processes, time_quantum):
    time = 0
    queue = deque()
    for process in processes:
        queue.append(process)

    while queue:
        current_process = queue.popleft()
        if current_process.burst_time <= 0:
            continue

        time_executed = current_process.execute(time_quantum)
        time += time_executed

        for process in queue:
            if process.priority > current_process.priority:
                queue.append(current_process)
                current_process = queue.popleft()

        if current_process.burst_time > 0:
            queue.append(current_process)

    print(f"Total execution time: {time}")

if __name__ == "__main__":
    processes = [
        Process(1, 10, 1),
        Process(2, 5, 2),
        Process(3, 7, 3),
        Process(4, 3, 1),
        Process(5, 6, 2)
    ]
    dynamic_priority_scheduling(processes, 2)

该实现中，Process 类表示一个进程，其中 pid 表示进程 ID，burst_time 表示进程需要执行的时间，priority 表示进程的优先级。dynamic_priority_scheduling 函数接受一个进程列表和时间片大小作为参数，实现了动态高优先权优先调度算法轮转法。程序会依次执行进程列表中的进程，如果进程的剩余执行时间大于 0，则将其放回队列中，等待下次执行。函数会输出总共的执行时间。