Create example_of_parallel_calculation.py
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# 并行计算
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import guan
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import time
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import os
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def run_proc(name):
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start_time = time.time()
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time.sleep(5)
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end_time = time.time()
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print ('Process id running on name %s = %s' % (name, os.getpid()), '; running time = %s' % (end_time-start_time))
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return f'name_{name}'
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if __name__ == '__main__':
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result_array = guan.parallel_calculation_with_multiprocessing_Pool(func=run_proc, args_list=range(32), show_time=1)
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print(result_array)
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