1 import time
2 import random
3
4 from multiprocessing import Process, Queue, current_process, freeze_support
5
6 #
7 # Function run by worker processes
8 #
9
10 def worker(input, output):
11 for func, args in iter(input.get, 'STOP'):
12 result = calculate(func, args)
13 output.put(result)
14
15 #
16 # Function used to calculate result
17 #
18
19 def calculate(func, args):
20 result = func(*args)
21 return '%s says that %s%s = %s' % \
22 (current_process().name, func.__name__, args, result)
23
24 #
25 # Functions referenced by tasks
26 #
27
28 def mul(a, b):
29 time.sleep(0.5*random.random())
30 return a * b
31
32 def plus(a, b):
33 time.sleep(0.5*random.random())
34 return a + b
35
36 #
37 #
38 #
39
40 def test():
41 NUMBER_OF_PROCESSES = 4
42 TASKS1 = [(mul, (i, 7)) for i in range(20)]
43 TASKS2 = [(plus, (i, 8)) for i in range(10)]
44
45 # Create queues
46 task_queue = Queue()
47 done_queue = Queue()
48
49 # Submit tasks
50 for task in TASKS1:
51 task_queue.put(task)
52
53 # Start worker processes
54 for i in range(NUMBER_OF_PROCESSES):
55 Process(target=worker, args=(task_queue, done_queue)).start()
56
57 # Get and print results
58 print('Unordered results:')
59 for i in range(len(TASKS1)):
60 print('\t', done_queue.get())
61
62 # Add more tasks using `put()`
63 for task in TASKS2:
64 task_queue.put(task)
65
66 # Get and print some more results
67 for i in range(len(TASKS2)):
68 print('\t', done_queue.get())
69
70 # Tell child processes to stop
71 for i in range(NUMBER_OF_PROCESSES):
72 task_queue.put('STOP')
73
74
75 if __name__ == '__main__':
76 freeze_support()
77 test()