mirror of
https://github.com/github/semantic.git
synced 2024-12-19 12:51:52 +03:00
42 lines
1.9 KiB
Haskell
42 lines
1.9 KiB
Haskell
{-# LANGUAGE DeriveAnyClass, DeriveGeneric, FlexibleInstances, StandaloneDeriving #-}
|
||
{-# OPTIONS_GHC -fno-warn-orphans #-}
|
||
module Main where
|
||
|
||
import Criterion.Main
|
||
import Data.Function
|
||
import Data.List (genericLength)
|
||
import Data.String
|
||
import Patch
|
||
import Prologue
|
||
import SES
|
||
import Test.QuickCheck hiding (Fixed)
|
||
|
||
main :: IO ()
|
||
main = do
|
||
benchmarks <- sequenceA [ generativeBenchmarkWith "ses" 10 arbitrarySESInputs (uncurry ((*) `on` length)) (nf (uncurry benchmarkSES)) ]
|
||
defaultMain benchmarks
|
||
where arbitrarySESInputs = (,) <$> sized (`vectorOf` arbitrary) <*> sized (`vectorOf` arbitrary)
|
||
|
||
benchmarkSES :: [String] -> [String] -> [Either String (Patch String)]
|
||
benchmarkSES as bs = ses compare cost as bs
|
||
where compare a b = if a == b then Just (Left a) else Nothing
|
||
cost = either (const 0) (sum . fmap genericLength)
|
||
|
||
instance NFData a => NFData (Patch a)
|
||
|
||
-- | Defines a named group of n benchmarks over inputs generated by an `Arbitrary` instance.
|
||
-- |
|
||
-- | The inputs’ sizes at each iteration are measured by a metric function, which gives the name of the benchmark. This makes it convenient to correlate a benchmark of some function over lists with e.g. input `length`.
|
||
generativeBenchmark :: (Arbitrary a, Show m, Ord m) => String -> Int -> (a -> m) -> (a -> Benchmarkable) -> IO Benchmark
|
||
generativeBenchmark name n metric benchmark = generativeBenchmarkWith name n arbitrary metric benchmark
|
||
|
||
generativeBenchmarkWith :: (Show m, Ord m) => String -> Int -> Gen a -> (a -> m) -> (a -> Benchmarkable) -> IO Benchmark
|
||
generativeBenchmarkWith name n generator metric benchmark = do
|
||
benchmarks <- traverse measure (take n [0,(defaultSize `div` n)..defaultSize])
|
||
pure $! bgroup name (snd <$> (sortOn fst benchmarks))
|
||
where measure n = do
|
||
input <- generate (resize n generator)
|
||
let measurement = metric input
|
||
pure $! (measurement, bench (show measurement) (benchmark input))
|
||
defaultSize = 100
|