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