{-# LANGUAGE RankNTypes #-}
module Properties where
import Optimal
import Control.Monad
import Control.Monad.ST
import Data.List
import Data.Ord
import Data.Array.Vector
import Data.Array.Vector.Algorithms.Optimal (Comparison)
import Data.Array.Vector.Algorithms.Radix
import Data.Array.Vector.Algorithms.Combinators
import qualified Data.Map as M
import Test.QuickCheck
import Util
prop_sorted :: (UA e, Ord e) => UArr e -> Property
prop_sorted arr | lengthU arr < 2 = property True
| otherwise = check (headU arr) (tailU arr)
where
check e arr | nullU arr = property True
| otherwise = e <= headU arr .&. check (headU arr) (tailU arr)
prop_fullsort :: (UA e, Ord e)
=> (forall s. MUArr e s -> ST s ()) -> UArr e -> Property
prop_fullsort algo arr = prop_sorted $ apply algo arr
prop_schwartzian :: (UA e, UA k, Ord k)
=> (e -> k)
-> (forall e s. (UA e) => (e -> e -> Ordering) -> MUArr e s -> ST s ())
-> UArr e -> Property
prop_schwartzian f algo arr
| lengthU arr < 2 = property True
| otherwise = let srt = apply (algo `usingKeys` f) arr
in check (headU srt) (tailU srt)
where
check e arr | nullU arr = property True
| otherwise = f e <= f (headU arr) .&. check (headU arr) (tailU arr)
longGen :: (UA e, Arbitrary e) => Int -> Gen (UArr e)
longGen k = liftM2 (\l r -> toU (l ++ r)) (vectorOf k arbitrary) arbitrary
sanity :: Int
sanity = 100
prop_partialsort :: (UA e, Ord e, Arbitrary e, Show e)
=> (forall s. MUArr e s -> Int -> ST s ())
-> Positive Int -> Property
prop_partialsort = prop_sized $ \algo k ->
prop_sorted . takeU k . apply algo
prop_select :: (UA e, Ord e, Arbitrary e, Show e)
=> (forall s. MUArr e s -> Int -> ST s ())
-> Positive Int -> Property
prop_select = prop_sized $ \algo k arr ->
let (l, r) = splitAtU k $ apply algo arr
in allU (\e -> allU (e <=) r) l
prop_sized :: (UA e, Arbitrary e, Show e, Testable prop)
=> ((forall s. MUArr e s -> ST s ()) -> Int -> UArr e -> prop)
-> (forall s. MUArr e s -> Int -> ST s ())
-> Positive Int -> Property
prop_sized prop algo (Positive k) =
let k' = k `mod` sanity
in forAll (longGen k') $ prop (\marr -> algo marr k') k'
prop_stable :: (forall e s. (UA e) => Comparison e -> MUArr e s -> ST s ())
-> UArr Int -> Property
-- prop_stable algo arr = property $ apply algo arr == arr
prop_stable algo arr = stable $ apply (algo (comparing fstS)) $ zipU arr ix
where
ix = toU [1 .. lengthU arr]
stable arr | nullU arr = property True
| otherwise = let e :*: i = headU arr
in allU (\(e' :*: i') -> e < e' || i < i') (tailU arr)
.&. stable (tailU arr)
prop_stable_radix :: (forall e s. UA e =>
Int -> Int -> (Int -> e -> Int) -> MUArr e s -> ST s ())
-> UArr Int -> Property
prop_stable_radix algo arr =
stable . apply (algo (passes e) (size e) (\k (e :*: _) -> radix k e))
$ zipU arr ix
where
ix = toU [1 .. lengthU arr]
e = headU arr
prop_optimal :: Int
-> (forall e s. (UA e) => Comparison e -> MUArr e s -> Int -> ST s ())
-> Property
prop_optimal n algo = label "sorting" sortn .&. label "stability" stabn
where
arrn = toU [0..n-1]
sortn = all ( (== arrn)
. apply (\a -> algo compare a 0)
. toU)
$ permutations [0..n-1]
stabn = all ( (== arrn)
. sndS
. unzipU
. apply (\a -> algo (comparing fstS) a 0))
$ stability n
type Bag e = M.Map e Int
toBag :: (UA e, Ord e) => UArr e -> Bag e
toBag = M.fromListWith (+) . flip zip (repeat 1) . fromU
prop_permutation :: (UA e, Ord e)
=> (forall s. MUArr e s -> ST s ())
-> UArr e -> Property
prop_permutation algo arr = property $
toBag arr == toBag (apply algo arr)