frommultiprocessingimportPool#定义一个任务函数defsquare(x):returnx ** 2if__name__=='__main__':#创建进程池with Pool(processes=4) as pool:#提交任务给进程池results = pool.map(square, range(10))#打印结果print(results) 在上述示例中,首先定义了一个任务函数square,它接受一个数值作为参数,并返回...
importloggingimport osimport timefrom multiprocessing.poolimportPoolfrom timeimportsleepdeff():sleep(1)return'%s finish f_call at %s'%(os.getpid(),time.strftime('%Y-%m-%d %H:%M:%S'))if__name__=='__main__':result=[]withPool(4)aspool:result.append(pool.apply_async(f))result.append(p...
下面是一个使用multiprocessing库进行并行计算的示例: import multiprocessing def square(x): return x*x if __name__ == '__main__': # 创建一个进程池,其中有4个进程 with multiprocessing.Pool(processes=4) as pool: # 生成一些数字 numbers = [1, 2, 3, 4, 5] # 使用进程池并行计算数字的平方...
frommultiprocessingimportPoolimporttimedeff(x):returnx*xif__name__=='__main__': with Pool(processes=4) as pool:#start 4 worker processesresult = pool.apply_async(f, (10,))#evaluate "f(10)" asynchronously in a single processprint(result.get(timeout=1))#prints "100" unless your compu...
with Pool(5) as p: print(p.map(f, [1, 2, 3])) Parent process id: 22942 Child process id: 24835 Child process id: 24836 Child process id: 24837 [2, 4, 6] Process from multiprocessing import Process import os def f(name): ...
importmultiprocessingimportnumpyasnp defmatrix_calculation(_):matrix=np.random.rand(1000,1000)returnnp.linalg.inv(matrix)# 计算矩阵的逆if__name__=="__main__":num_workers=4withmultiprocessing.Pool(num_workers)aspool:results=pool.map(matrix_calculation,range(num_workers))print("所有矩阵计算完毕"...
1.执行一个python的multiprocessing.Pool进程池程序,实现多进程程序,代码如下,结果在windows下执行报错,但是在linux和unix里面执行没有报错? from multiprocessing import Pool import time ,os ,random def worker(msg): t_start = time.time() #获取当前系统时间,长整型,常用来测试程序执行时间 ...
from multiprocessing import Pool import time ,os ,random def worker(msg): t_start = time.time() #获取当前系统时间,长整型,常用来测试程序执行时间 print("%s开始执行,进程号为%d" % (msg,os.getpid())) # random.random()随机生成0~1之间的浮点数 ...
from multiprocessingimportPool cpu_worker_num=3process_args=[(1,1),(9,9),(4,4),(3,3),]print(f'| inputs: {process_args}')start_time=time.time()withPool(cpu_worker_num)asp:outputs=p.map(func2,process_args)print(f'| outputs: {outputs} TimeUsed: {time.time() - start_time:.1f...
答案是python的标准库multiprocessing,可以在单进程下使用多进程和多线程来帮忙处理任务。multiprocessing,名字即是多进程的意思,本篇主要讲一下进程池和线程池的用法。 多线程示例:从一批url中获取数据,常见于爬虫,接口分批获取等 import requests from multiprocessing import Pool #进程池 from multiprocessing.dummy ...