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October 23, 2018 05:59
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这个主要测试python在各种环境下的效率问题。
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| # author caturbhujadas_pc | |
| # date 2018/10/23 13:31 | |
| # wechat chending2012 | |
| from time import time | |
| from numba import autojit | |
| i = range(10000000) | |
| # @autojit() | |
| def do(each): | |
| # str(each) | |
| each += 1 | |
| # int(each) | |
| # each*each | |
| t1 = time() | |
| for each in i: | |
| do(each) | |
| print(time() - t1) | |
| t3 = time() | |
| [do(each) for each in i] | |
| print(time() - t3) | |
| t2 = time() | |
| map(do, i) | |
| print(time() - t2) | |
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这个主要测试python各种内置方法的效率
测试结果：
2.5809388160705566
2.335479974746704
5.9604644775390625e-06
map的时间最短（电脑为4核）。