在python中创建递归线程 [英] Recursive thread creation in python

查看:75
本文介绍了在python中创建递归线程的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试实现一个递归的斐波那契数列,该数列返回索引处的值.这是一项家庭作业,需要使用多线程来完成.到目前为止,这是我所做的.我的问题是如何添加live_thread1live_thread2的结果.必须在递归的每个级别上创建线程.

I'm trying to implement a recursive Fibonacci series which returns the value at an index. It's a homework and needs to be done using multi-threading. This is what I've done so far. My question is how do I add the results from live_thread1 and live_thread2. The threads have to be created at every level in the recursion.

def Recursive(n):
    if n< 2:
        return n
    else:
        return Recursive(n- 1) + Recursive(n- 2)



def FibonacciThreads(n):
    if n< 2:
        return n
    else:
        thread1        = threading.Thread(target=FibonacciThreads,args=(n-1,))
        thread2        = threading.Thread(target=FibonacciThreads,args=(n-2,))
        thread1.start()
        thread2.start()
        thread1.join()
        thread2.join()
        return live_thread1+live_thread2

推荐答案

您可以将可变对象传递给线程以用于存储结果.如果您不想引入新的数据类型,则可以例如仅使用一个元素列表:

You can pass a mutable object to the thread to use for storing the result. If you don't want to introduce a new data type, you can for example just use a single element list:

def fib(n, r):
    if n < 2:
        r[0] = n
    else:
        r1 = [None]
        r2 = [None]
        # Start fib() threads that use r1 and r2 for results.
        ...

        # Sum the results of the threads.
        r[0] = r1[0] + r2[0]

def FibonacciThreads(n):
    r = [None]
    fib(n, r)
    return r[0]

这篇关于在python中创建递归线程的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆