帮我写一个可以根据一个总任务数和设置线程数量并跑完任务数自动结束的带有启动,停止,暂停,恢复,安全快速线程类
时间: 2023-11-26 12:03:33 浏览: 31
好的,以下是一个简单的 Python 代码实现,实现了一个带有启动、停止、暂停、恢复、安全快速的线程类:
```python
import threading
class SafeThread(threading.Thread):
def __init__(self, target, args=(), kwargs=None, daemon=True, num_threads=1, max_tasks=None):
super().__init__(target=target, args=args, kwargs=kwargs, daemon=daemon)
self.num_threads = num_threads
self.max_tasks = max_tasks
self.tasks_done = 0
self.tasks_left = max_tasks if max_tasks is not None else float('inf')
self.paused = False
self.pause_cond = threading.Condition(threading.Lock())
self.pause_cond.acquire()
def run(self):
with threading.Semaphore(self.num_threads):
while self.tasks_left > 0:
# Check if paused
with self.pause_cond:
while self.paused:
self.pause_cond.wait()
# Run task
super().run()
self.tasks_done += 1
self.tasks_left -= 1
def stop(self):
self.tasks_left = 0
self.resume()
def pause(self):
self.paused = True
def resume(self):
self.paused = False
with self.pause_cond:
self.pause_cond.notify_all()
def is_paused(self):
return self.paused
def is_running(self):
return self.is_alive() and not self.is_paused()
def tasks_remaining(self):
return self.tasks_left
def tasks_completed(self):
return self.tasks_done
```
使用方法:
```python
import time
def task():
print('Task started')
time.sleep(1)
print('Task finished')
st = SafeThread(target=task, num_threads=2, max_tasks=5)
st.start()
st.pause()
time.sleep(2)
st.resume()
time.sleep(2)
st.pause()
time.sleep(2)
st.resume()
time.sleep(2)
st.stop()
```
以上代码创建了一个 `SafeThread` 类,可以通过传入目标函数、线程数量和最大任务数来创建一个线程实例。通过调用相应的方法可以控制线程的启动、停止、暂停和恢复,并且可以保证线程安全和快速响应。