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  1. # your code goes here
  2. from multiprocessing import Pool
  3. import os, time, random
  4.  
  5. def long_time_task(name):
  6. 	print('run task %s (%s)..' % (name, os.getpid()))
  7. 	start=time.time()
  8. 	time.sleep(random.random()*3)
  9. 	end=time.time()
  10. 	print('task %s runs %0.2f seconds.' % (name, (end-start)))
  11.  
  12. if __name__=='__main__':
  13. 	print('parent process %s' % os.getpid())
  14. 	p=Pool(4)
  15. 	for i in range(5):
  16. 		p.apply_async(long_time_task, args=(i,))
  17. 	print('waiting for all subprocesses done..')
  18. 	p.close()
  19. 	p.join()
  20. 	print('all subprocesses done')
Success #stdin #stdout 0.08s 12864KB
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Standard input is empty
stdout
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parent process 3882389
run task 1 (3882394)..
task 1 runs 0.94 seconds.
run task 3 (3882392)..
task 3 runs 2.09 seconds.
run task 0 (3882395)..
task 0 runs 2.14 seconds.
run task 2 (3882393)..
task 2 runs 0.71 seconds.
run task 4 (3882393)..
task 4 runs 1.86 seconds.
waiting for all subprocesses done..
all subprocesses done
https://ideone.com/QA02E4
language:
Python 3 (python  3.9.5)
created:
1 day ago
visibility:
public

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