帮我写一个经典的混合流水线作业代码

当然可以！下面是一个经典的混合流水线作业代码的示例：

import threading
import timeclass Pipeline:
    definit__(self, num_st):
        self.num_st num_stages
        self.stages = [threading.Semaphore(0) for in range(num_stages)]
 self.stages.append(thread.Semaphore(1))  # Final stage lock
        self.data =1] * num_stages
        self.worker_threads = []

    def start(self):
        for i in range(self.num_stages):
            t = threading.Thread(target=self.worker, args=(i,))
            self.worker_threads.append(t)
            t.start()

    def worker(self, i):
        while True:
            self.stages[i].acquire()  # Wait for input
            time.sleep(1)  # Simulate work being done
            self.data[i] += 1
            print(f"Stage {i}: processed data {self.data[i]}")
            self.stages[i+1].release()  # Pass data to next stage

pipeline = Pipeline(3)  # Example with 3 stages
pipeline.start()

# Start the pipeline by passing data to the first stage
pipelineages[0].release()

# Wait for all threads to finish
for thread in pipeline.worker_threads:
    thread.join()

这个示例代码实现了一个具有3个阶段的混合流水线作业。每个阶段的线程会等待前一个阶段的线程完成工作，并且在完成后将数据传递给下一个阶段。你可以根据需要调整阶段的数量，以适应不同的场景。注意，这里的每个阶段只是简单地模拟了一秒钟的工作时间，你可以根据实际需求修改这部分代码。