Asyncio中的Task管理

最新推荐文章于 2025-07-05 00:01:02 发布

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最新推荐文章于 2025-07-05 00:01:02 发布

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文章标签： python

本文介绍了一个使用Python的asyncio库来并发执行多个数学计算任务的例子，包括阶乘、斐波那契数列和二项式系数的计算。通过yield from asyncio.sleep(1)模拟了这些计算任务中的延迟。

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

import asyncio
import datetime
import time
from random import randint


@asyncio.coroutine
def factorial(number):
    f = 1
    for i in range(2, number+1):
        print("Asyncio.Task: Compute factorial(%s)" % (i))
        yield from asyncio.sleep(1)
        f *= i
    print("Asyncio.Task - factorial(%s) = %s" %(number, f))

@asyncio.coroutine
def fibonacci(number):
    a, b = 0, 1
    for i in range(number):
        print("Asyncio.Task: Compute fibonacci (%s)" % i)
        yield from asyncio.sleep(1)
        a, b = b, a + b
    print("Asyncio.Task - fibonacci(%s) = %s" % (number, a))

@asyncio.coroutine
def binomialCoeff(n, k):
    result = 1
    for i in range(1, k+1):
        result = result * (n-i+1) / i
        print("Asyncio.Task: Compute binomialCoeff (%s)" % (i))
        yield from asyncio.sleep(1)
    print("Asyncio.Task - binomialCoeff(%s , %s) = %s" % (n,k,result))

if __name__ == "__main__":
    tasks = [asyncio.Task(factorial(10)),
             asyncio.Task(fibonacci(10)),
             asyncio.Task(binomialCoeff(20, 10))]
    loop = asyncio.get_event_loop()
    loop.run_until_complete(asyncio.wait(tasks))
    loop.close()