MIT licensed by Bodigrim
Maintained by [email protected]
This version can be pinned in stack with:tasty-bench-fit-0.1@sha256:407a41cd5d01f78a81cbc036ebf9becbd697f9a623dca7a442101f0a3f4be7ac,1788

Module documentation for 0.1


Benchmark a given function for variable input sizes and find out its time complexity.

> fit $ mkFitConfig (\x -> sum [1..x]) (10, 10000)
1.2153e-8 * x
> fit $ mkFitConfig (\x -> Data.List.nub [1..x]) (10, 10000)
2.8369e-9 * x ^ 2
> fit $ mkFitConfig (\x -> Data.List.sort $ take (fromIntegral x) $ iterate (\n -> n * 6364136223846793005 + 1) (1 :: Int)) (10, 100000)
5.2990e-8 * x * log x

One can usually get reliable results for functions, which do not allocate much: like in-place vector sort or fused list operations like sum [1..x].

Unfortunately, fitting functions, which allocate a lot, is likely to be disappointing: GC kicks in irregularly depending on nursery and heap sizes and often skews observations beyond any recognition. Consider running such measurements with -O0 or in ghci prompt. This is how the usage example above was generated. Without optimizations your program allocates much more and triggers GC regularly, somewhat evening out its effect.



  • Initial release.