[英]Invalid Criterion report when testing on large inputs with AutoBench
I am working with AutoBench since a few days testing performances of Euler's sieve on different input sizes.几天以来,我一直在使用 AutoBench 测试欧拉筛在不同输入尺寸上的性能。
My tests simply asks for the nth prime inside the list generated by Euler's sieve.我的测试只是要求欧拉筛生成的列表中的第 n 个素数。
While Criterion works well on small inputs for n, it doesn't seem to produce a valid report when n is greater than 7000.虽然 Criterion 在 n 的小输入上效果很好,但当 n 大于 7000 时,它似乎无法生成有效的报告。
Here is my Input.hs file tested:这是我测试的 Input.hs 文件:
eS :: Int -> Int
eS x = (eulerSieve [2..]) !! x where
eulerSieve cs@(p:tcs) = p:eulerSieve (minus tcs (map (p*) cs))
tDat :: UnaryTestData Int
tDat =
[ (1000, return 1000)
, (2000, return 2000)
, (3000, return 3000)
, (4000, return 4000)
, (5000, return 5000)
, (6000, return 6000)
, (7000, return 7000)
, (8000, return 8000)
, (9000, return 9000)
, (10000, return 10000)
, (11000, return 11000)
, (12000, return 12000)
, (13000, return 13000)
, (14000, return 14000)
, (15000, return 15000)
, (16000, return 16000)
, (17000, return 17000)
, (18000, return 18000)
, (19000, return 19000)
, (20000, return 20000)
]
ts :: TestSuite
ts = def {
_progs = ["eS"],
_dataOpts = Manual "tDat"
}
And this is the error I am getting:这是我得到的错误:
benchmarking Input Size 8000/Input.eS
• Executed benchmarking file ✔
• Generating test report
File error: Invalid Criterion report: Error in $: not enough input
Testing cancelled. Press any key to exit...
Leaving AutoBench.
I think it is something related to the time execution needed for the procedure to answer with the nth prime but I haven't found anything online but the official documentation which doesn't mention anything about it.我认为这与程序以第 n 个素数回答所需的时间执行有关,但我没有在网上找到任何东西,但官方文档没有提到任何关于它的内容。
After some profiling I found that for n greater than 7000, the Euler procedure quickly saturates the ram thus causing Criterion to crash.经过一些分析后,我发现当 n 大于 7000 时,欧拉程序会迅速使 ram 饱和,从而导致 Criterion 崩溃。
The only ways to overcome this problem are increasing your ram or switching to a different algorithm/implementation.克服这个问题的唯一方法是增加内存或切换到不同的算法/实现。
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