單線程和多線程執行對比

本章使用遞歸求斐波那契、階乘與累加函數的執行來對比單線程與多線程；

斐波那契、階乘與累加（mtfacfib.py）：

?

 1 import threading
 2 from time import sleep, ctime
 3 ?
 4 class MyThread(threading.Thread):
 5     def __init__(self, func, args, name=‘‘):
 6         threading.Thread.__init__(self)
 7         self.name = name
 8         self.func = func
 
 9         self.args = args
10 ?
11     def getResult(self):
12         return self.res
13 ?
14     def run(self):
15         print(‘starting %s at:%s‘ % (self.name, ctime()))
16         self.res = self.func(*self.args)
17         print(‘%s finished at:%s‘ % (self.name, ctime()))
18 ?
19 ?
20 def fib(x):
 
21     sleep(0.005)
22     if x < 2:
23         return 1
24     return (fib(x-2) + fib(x-1))
25 ?
26 def fac(x):
27     sleep(0.1)
28     if x < 2:
29         return 1
30     return (x * fac(x-1))
31 ?
32 def sum(x):
33     sleep(0.1)
34     if x < 2:
35         return 1
36     return (x + sum(x-1))
 
37 ?
38 funcs = [fib, fac, sum]
39 n = 12
40 ?
41 def main():
42     nfuncs = range(len(funcs))
43 ?
44     print(‘*** SINGLE THREAD‘)
45     for i in nfuncs:
46         print(‘starting %s at:%s‘ % (funcs[i].__name__, ctime()))
47         print(funcs[i](n))
48         print(‘%s finished at:%s‘ % (funcs[i].__name__, ctime()))
49 ?
50     print(‘\n*** MULTIPLE THREADS‘)
51     threads = []
52     for i in nfuncs:
53         t = MyThread(funcs[i], (n,), funcs[i].__name__)
54         threads.append(t)
55 ?
56     for i in nfuncs:
57         threads[i].start()
58 ?
59     for i in nfuncs:
60         threads[i].join()
61         print(threads[i].getResult())
62 ?
63     print(‘all Done‘)
64 ?
65 if __name__ == ‘__main__‘:
66     main()

輸出結果為：

 1 E:\Project\Test_Temporary>python mtfacfib.py
 2 *** SINGLE THREAD
 3 starting fib at:Fri Jul 27 08:53:18 2018
 4 233
 5 fib finished at:Fri Jul 27 08:53:20 2018
 6 starting fac at:Fri Jul 27 08:53:20 2018
 7 479001600
 8 fac finished at:Fri Jul 27 08:53:22 2018
 9 starting sum at:Fri Jul 27 08:53:22 2018
10 78
11 sum finished at:Fri Jul 27 08:53:23 2018
12 ?
13 *** MULTIPLE THREADS
14 starting fib at:Fri Jul 27 08:53:23 2018
15 starting fac at:Fri Jul 27 08:53:23 2018
16 starting sum at:Fri Jul 27 08:53:23 2018
17 fac finished at:Fri Jul 27 08:53:24 2018
18 sum finished at:Fri Jul 27 08:53:24 2018
19 fib finished at:Fri Jul 27 08:53:25 2018
20 233
21 479001600
22 78
23 all Done

• 以單線程運行時，只是簡單的依次調用每個函數，並在函數執行結束後立即顯示相應結果；

• 以多線程模式運行時，不會立即顯示結果，而是等線程都結束後再調用 getResult() 方法來最終顯示每個函數的返回值。

單線程和多線程執行對比—Python多線程編程