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			77 lines
		
	
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			77 lines
		
	
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import time
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| import random
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| 
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| from multiprocessing import Process, Queue, current_process, freeze_support
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| 
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| #
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| # Function run by worker processes
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| #
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| 
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| def worker(input, output):
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|     for func, args in iter(input.get, 'STOP'):
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|         result = calculate(func, args)
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|         output.put(result)
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| 
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| #
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| # Function used to calculate result
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| #
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| 
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| def calculate(func, args):
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|     result = func(*args)
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|     return '%s says that %s%s = %s' % \
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|         (current_process().name, func.__name__, args, result)
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| 
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| #
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| # Functions referenced by tasks
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| #
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| 
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| def mul(a, b):
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|     time.sleep(0.5*random.random())
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|     return a * b
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| 
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| def plus(a, b):
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|     time.sleep(0.5*random.random())
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|     return a + b
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| 
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| #
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| #
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| #
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| 
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| def test():
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|     NUMBER_OF_PROCESSES = 4
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|     TASKS1 = [(mul, (i, 7)) for i in range(20)]
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|     TASKS2 = [(plus, (i, 8)) for i in range(10)]
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| 
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|     # Create queues
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|     task_queue = Queue()
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|     done_queue = Queue()
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| 
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|     # Submit tasks
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|     for task in TASKS1:
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|         task_queue.put(task)
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| 
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|     # Start worker processes
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|     for i in range(NUMBER_OF_PROCESSES):
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|         Process(target=worker, args=(task_queue, done_queue)).start()
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| 
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|     # Get and print results
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|     print('Unordered results:')
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|     for i in range(len(TASKS1)):
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|         print('\t', done_queue.get())
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| 
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|     # Add more tasks using `put()`
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|     for task in TASKS2:
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|         task_queue.put(task)
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| 
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|     # Get and print some more results
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|     for i in range(len(TASKS2)):
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|         print('\t', done_queue.get())
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| 
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|     # Tell child processes to stop
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|     for i in range(NUMBER_OF_PROCESSES):
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|         task_queue.put('STOP')
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| 
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| 
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| if __name__ == '__main__':
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|     freeze_support()
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|     test()
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