一、問題

指令碼遞迴求斐波那契、階乘和、累加和函式的執行。先在單執行緒中執行這三個函式，然後在多執行緒中做同樣的事，以說明多執行緒的好處。以及子類化threading執行緒模組的Thread類，靈活地來自定義執行緒物件。

二、解決

1、程式碼

#!/usr/bin/env python

import threading
from time import time, ctime, sleep

class MyThread(threading.Thread):
    def __init__(self, func, args, name=''):
        threading.Thread.__init__(self)
        self.name = name
        self.func = func
        self.args = args

    def getResult(self):
        return self.res

    def run(self):
        print 'starting', self.name, 'at:', ctime()
        self.res = apply(self.func, self.args)
        print self.name, 'finished at:', ctime()

def fib(x):
    sleep(0.005)
    if x < 2: return 1
    return (fib(x-2) + fib(x-1))

def fac(x):
    sleep(0.1)
    if x < 2: return 1
    return (x * fac(x-1))

def sum(x):
    sleep(0.1)
    if x < 2: return 1
    return (x + sum(x-1))

funcs = (fib, fac, sum)
n = 12

def main():
    nfuncs = range(len(funcs))

    print '*** SINGLE THREAD'
    for i in nfuncs:
        print 'starting', funcs[i].__name__, 'at:', ctime()
        print funcs[i](n)
        print funcs[i].__name__, 'finished at:', ctime()

    print '\n*** MULTIPLE THREADS'
    threads = []
    for i in nfuncs:
        t = MyThread(funcs[i], (n,), funcs[i].__name__)
        threads.append(t)

    for i in nfuncs:
        threads[i].start()

    for i in nfuncs:
        threads[i].join()
        print threads[i].getResult()

    print '--all DONE at:', ctime()

if __name__ == '__main__':
    main()
 

2、執行結果圖

三、總結