24 lines
600 B
Python
24 lines
600 B
Python
import multiprocessing as mp
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import time
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def run_n_in_parallel(f, n, **kwargs):
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output = mp.Queue()
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kwargs.update(output=output)
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# Setup a list of processes that we want to run
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processes = [mp.Process(target=f, kwargs=kwargs) for _ in range(n)]
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# Run processes
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results = []
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for p in processes:
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p.start()
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while len(results) != n:
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time.sleep(1)
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# Get process results from the output queue
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results.extend([output.get() for _ in processes])
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# Exit the completed processes
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for p in processes:
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p.join()
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return results
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