# 使用线程池下载网页executor=concurrent.futures.ThreadPoolExecutor(max_workers=3)try:future_to_url={executor.submit(download_url,url):urlforurlinurls}executor.shutdown(wait=True)# 等待所有线程执行完毕print("All threads have completed.")exceptExceptionase:print(f"An error occurred:{e}")finally:ex...
thread.start_new_thread(print_time, ("Thread-1", 2)) thread.start_new_thread(print_time, ("Thread-2", 4)) except: print "Error: unable tostart thread" # Wait for threads return while 1: pass 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19...
"https://www.google.com","https://www.bing.com"]# 创建线程池executor=ThreadPoolExecutor(max_workers=3)# 定义要在线程中执行的函数defprint_message(message):print(message)# 提交任务到线程池futures=[executor.submit(print_message,url)forurlinurls]# 等待所有任务完成forfutureinfutures...
"线程:", local.thread_id, local.value) def process_thread(thread_id, value): local.th...
threads=[] for i in range(5): t=threading.Thread(target=run,args=(i,)) #创建一个线程,指定它运行哪个函数;args=(i,)是run函数的入参,一个参数要加逗号,没有参数就不写args #如果不加线程,这段代码运行需要10秒,加了线程时间就减少很多 ...
pool = threadpool.ThreadPool(200) #线程池的大小 all_requests = threadpool.makeRequests(down_img,all_qq)#分配数据 makeRequests(函数,list) for r in all_requests: pool.putRequest(r) #发请求 pool.wait()#等待所有线程运行完 print('done!下载完成。') ...
(args)))#初始化线程池definit_threadpool(self,num):foriinrange(num):self.threads.append(work(self.queue))#等待挂起主线程defwait_allcomplete(self):foriteminself.threads:ifitem.isAlive():item.join()#线程类,每个线程循环地去任务池取任务classwork(threading.Thread):def__init__(self,que):super...
def wait_all_complete(self): for item in self.threads: if item.isAlive(): # join函数的意义,只有当前执行join函数的线程结束,程序才能接着执行下去 item.join() # WorkThread 继承自threading.Thread class WorkThread(threading.Thread): # 这里的thread_pool就是上面的ThreadPool类 def __init__(self...
importconcurrent.futuresimporttimedefworker(num):print(f"Thread-{num}started")time.sleep(1)print(f"Thread-{num}finished")if__name__=='__main__':withconcurrent.futures.ThreadPoolExecutor(max_workers=3)asexecutor:foriinrange(5):executor.submit(worker,i) ...
ThreadPool(5) # 创建了要开启多线程的函数,函数相关参数和回调函数 requests = threadpool.makeRequests(sayhello, seed) # 将所有要运行的请求放到线程池中(参数数量决定任务数量) for req in requests: task_pool.putRequest(req) # 等待所有线程完成后退出 task_pool.wait() 2.4.1.2 concurrent.futures模块...