• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1#
2# Simple example which uses a pool of workers to carry out some tasks.
3#
4# Notice that the results will probably not come out of the output
5# queue in the same in the same order as the corresponding tasks were
6# put on the input queue.  If it is important to get the results back
7# in the original order then consider using `Pool.map()` or
8# `Pool.imap()` (which will save on the amount of code needed anyway).
9#
10# Copyright (c) 2006-2008, R Oudkerk
11# All rights reserved.
12#
13
14import time
15import random
16
17from multiprocessing import Process, Queue, current_process, freeze_support
18
19#
20# Function run by worker processes
21#
22
23def worker(input, output):
24    for func, args in iter(input.get, 'STOP'):
25        result = calculate(func, args)
26        output.put(result)
27
28#
29# Function used to calculate result
30#
31
32def calculate(func, args):
33    result = func(*args)
34    return '%s says that %s%s = %s' % \
35        (current_process().name, func.__name__, args, result)
36
37#
38# Functions referenced by tasks
39#
40
41def mul(a, b):
42    time.sleep(0.5*random.random())
43    return a * b
44
45def plus(a, b):
46    time.sleep(0.5*random.random())
47    return a + b
48
49#
50#
51#
52
53def test():
54    NUMBER_OF_PROCESSES = 4
55    TASKS1 = [(mul, (i, 7)) for i in range(20)]
56    TASKS2 = [(plus, (i, 8)) for i in range(10)]
57
58    # Create queues
59    task_queue = Queue()
60    done_queue = Queue()
61
62    # Submit tasks
63    for task in TASKS1:
64        task_queue.put(task)
65
66    # Start worker processes
67    for i in range(NUMBER_OF_PROCESSES):
68        Process(target=worker, args=(task_queue, done_queue)).start()
69
70    # Get and print results
71    print 'Unordered results:'
72    for i in range(len(TASKS1)):
73        print '\t', done_queue.get()
74
75    # Add more tasks using `put()`
76    for task in TASKS2:
77        task_queue.put(task)
78
79    # Get and print some more results
80    for i in range(len(TASKS2)):
81        print '\t', done_queue.get()
82
83    # Tell child processes to stop
84    for i in range(NUMBER_OF_PROCESSES):
85        task_queue.put('STOP')
86
87
88if __name__ == '__main__':
89    freeze_support()
90    test()
91