added_thread1 = threading.Thread(target = thread_job_1) added_thread1.start()# 一定要启动刚刚添加的线程,不然线程不会自动进行工作.当代码运行后,至少会有一个main线程去执行added_thread1.join()#在这里加入join函数就可以让主线程等待子线程1执行完再继续执行了print("
同时执行的两个并发线程(multi_thread.py) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #! /usr/bin/pythonfrom threadingimportThreadimporttime defmy_counter():i=0for_inrange(100000000):i=i+1returnTrue defmain():thread_array={}start_time=time.time()fortidinrange(2):t=Thread(target=my...
get() print('multicore:', res1 + res2) 2 创建多线程 multithread # 单核运算多线程 def multithread03(): # thread可放入process同样的queue中 q = mp.Queue() t1 = td.Thread(target=job03, args=(q,)) t2 = td.Thread(target=job03, args=(q,)) t1.start() t2.start() t1.join()...
start() for thread in threads: thread.join() print("multi_thread end") if __name__=='__main__': start=time.time() single_thread() end=time.time() print("single thread cost:",end-start) start=time.time() multi_thread() end=time.time() print...
consumer_threads_list: thread.join() 2.2 使用举例 需要定义producer_func和consumer_func, 并且推荐使用闭包的形式 处理完成的结果保存于MultiThread.result_queue中 代码如下: #coding: utf-8 import Queue from typing import Int, Tuple def producer(): def wrapper(num) -> Tuple[Int, Int]: if num <...
多线程(multi-thread) 源代码 多进程( multi-process) import multiprocessing def thread_func(): print "thread in" while True: pass if __name__ == "__main__": t1 = multiprocessing.Process(target = thread_func) t1.start() t2 = multiprocessing.Process(target = thread_func) ...
_thread.start_new_thread ( function, args[, kwargs] ) 参数说明: function线程函数。 args传递给线程函数的参数,他必须是个tuple类型。 kwargs可选参数。 代码语言:txt 复制 """ Python多线程的使用 """ import time import _thread def sing(name): ...
def multi_thread(): """ 多线程爬虫 """ threads = [] for url in urls: # target是目标函数,args是目标函数的参数所组成的一个元组, threads.append( threading.Thread(target=craw, args=(url,)) ) # 开始线程任务 for thread in threads: ...
继承threading.Thread,并重写run函数; 方式1:创建threading.Thread对象 import threading import time def tstart(arg): time.sleep(0.5) print("%s running..." % arg) if __name__ == '__main__': t1 = threading.Thread(target=tstart, args=('This is thread 1',)) t2...
import threading import time import requests def get_response(url): response = requests.get(url) print(response.content) def test_multi_threading(): url = "http://192.168.1.6:5000/test/2" threads = [] for i in range(20): threads.append(threading.Thread(target=get_response, args=(url,...