hjugement-2.0.0.20180903: test/QuickCheck.hs
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# OPTIONS_GHC -fno-warn-orphans #-}
module QuickCheck where
import Test.QuickCheck
import Test.Tasty
import Test.Tasty.QuickCheck
import Control.Arrow (first)
import Control.Monad (replicateM)
import Data.Hashable (Hashable)
import qualified Data.Map.Strict as Map
import Data.Ratio
import GHC.Exts (IsList(..))
import Prelude
import System.Random (Random(..))
import qualified Data.Set as Set
import Majority.Judgment
import Types
quickchecks :: TestTree
quickchecks =
testGroup "QuickCheck"
[ testProperty "arbitraryMerits" $ \(SameLength (Merit x::Merit G6,Merit y::Merit G6)) ->
Map.keys x == Map.keys y &&
sum x == sum y
, testGroup "MajorityValue"
[ testProperty "compare" $ \(SameLength (x::MajorityValue G6,y)) ->
expandValue x`compare` expandValue y == x`compare`y
]
{-
, testProperty "majorityGauge and majorityValue consistency" $
\(SameLength (x@(Merit xs)::Merit G6,y@(Merit ys))) ->
not (all (==0) xs || all (==0) ys) ==>
case majorityGauge x`compare`majorityGauge y of
LT -> majorityValue x < majorityValue y
GT -> majorityValue x > majorityValue y
EQ -> True
-}
]
-- | Decompress a 'MajorityValue'.
expandValue :: MajorityValue a -> [a]
expandValue (MajorityValue ms) =
let d = foldr lcm 1 (denominator . middleShare <$> ms) in
go $ (\m -> (numerator (middleShare m) * d, lowGrade m, highGrade m)) <$> ms
where
go [] = []
go ((s,l,h):xs) = concat (replicate (fromIntegral s) [l, h]) ++ go xs
-- | @arbitraryMerits n@ arbitrarily generates 'n' lists of 'Merit'
-- for the same arbitrary grades,
-- and with the same total 'Share' of individual judgments.
arbitraryMerits :: forall g. (Bounded g, Enum g, Ord g) => Int -> Gen [Merit g]
arbitraryMerits n = sized $ \shareSum -> do
minG <- choose (fromEnum(minBound::g), fromEnum(maxBound::g))
maxG <- choose (minG, fromEnum(maxBound::g))
let gs::[g] = toEnum minG`enumFromTo`toEnum maxG
let lenGrades = maxG - minG + 1
replicateM n $ do
shares <- resize shareSum $ arbitrarySizedPositiveRationalSum lenGrades
shares' :: [Share] <- arbitraryPad (lenGrades - length shares) (return 0) shares
return $ Merit $ fromList $ zip gs shares'
-- | @arbitrarySizedNaturalSum maxLen@
-- arbitrarily chooses a list of 'length' at most 'maxLen',
-- containing 'Int's summing up to 'sized'.
arbitrarySizedNaturalSum :: Int -> Gen [Int]
arbitrarySizedNaturalSum maxLen = sized (go maxLen)
where
go :: Int -> Int -> Gen [Int]
go len tot | len <= 0 = return []
| len == 1 = return [tot]
| tot <= 0 = return [tot]
go len tot = do
d <- choose (0, tot)
(d:) <$> go (len-1) (tot - d)
-- | @arbitrarySizedPositiveRationalSum maxLen@
-- arbitrarily chooses a list of 'length' at most 'maxLen',
-- containing positive 'Rational's summing up to 'sized'.
arbitrarySizedPositiveRationalSum :: Int -> Gen [Rational]
arbitrarySizedPositiveRationalSum maxLen = sized (go maxLen . fromIntegral)
where
go :: Int -> Rational -> Gen [Rational]
go len tot | len <= 0 = return []
| len == 1 = return [tot]
| tot <= 0 = return [tot]
go len tot = do
d <- choose (0, tot)
(d:) <$> go (len-1) (tot - d)
instance Random Rational where
randomR (minR, maxR) g =
if d - b == 0
then first (% b) $ randomR (a, c) g
else first (bd2ac . nat2bd) $ randomR (0, toInteger (maxBound::Int)) g
where
a = numerator minR
b = denominator minR
c = numerator maxR
d = denominator maxR
nat2bd x = ((d - b) % toInteger (maxBound::Int)) * (x%1) + (b%1)
bd2ac x = alpha * x + beta
where
alpha = (c-a) % (d-b)
beta = (a%1) - alpha * (b%1)
random = randomR (toInteger (minBound::Int)%1, toInteger (maxBound::Int)%1)
-- | @arbitraryPad n pad xs@
-- arbitrarily grows list 'xs' with 'pad' elements
-- up to length 'n'.
arbitraryPad :: (Num i, Integral i) => i -> Gen a -> [a] -> Gen [a]
arbitraryPad n pad [] = replicateM (fromIntegral n) pad
arbitraryPad n pad xs = do
(r, xs') <- go n xs
if r > 0
then arbitraryPad r pad xs'
else return xs'
where
go r xs' | r <= 0 = return (0,xs')
go r [] = arbitrary >>= \b ->
if b then pad >>= \p -> ((p:)<$>) <$> go (r-1) []
else return (r,[])
go r (x:xs') = arbitrary >>= \b ->
if b then pad >>= \p -> (([p,x]++)<$>) <$> go (r-1) xs'
else ((x:)<$>) <$> go r xs'
-- | Like 'nub', but O(n * log n).
nubList :: Ord a => [a] -> [a]
nubList = go Set.empty where
go _ [] = []
go s (x:xs) | x`Set.member`s = go s xs
| otherwise = x:go (Set.insert x s) xs
instance Arbitrary G6 where
arbitrary = arbitraryBoundedEnum
instance (Arbitrary g, Bounded g, Enum g, Ord g, Show g) => Arbitrary (Merit g) where
arbitrary = head <$> arbitraryMerits 1
shrink (Merit m) = Merit <$> shrink m
instance
( Arbitrary c, Bounded c, Enum c, Eq c, Hashable c, Show c
, Arbitrary g, Bounded g, Enum g, Ord g, Show g
) => Arbitrary (MeritByChoice c g) where
arbitrary = do
minP <- choose (fromEnum(minBound::c), fromEnum(maxBound::c))
maxP <- choose (minP, fromEnum(maxBound::c))
let ps = toEnum minP`enumFromTo`toEnum maxP
let ms = arbitraryMerits (maxP - minP + 1)
fromList . zip ps <$> ms
instance (Bounded g, Eq g, Integral g, Arbitrary g) => Arbitrary (MajorityValue g) where
arbitrary = head . (majorityValue <$>) <$> arbitraryMerits 1
shrink (MajorityValue vs) = MajorityValue <$> shrink vs
instance (Bounded g, Enum g) => Arbitrary (Middle g) where
arbitrary = do
lowG <- choose (fromEnum(minBound::g), fromEnum(maxBound::g))
highG <- choose (lowG, fromEnum(maxBound::g))
share <- choose (0, 1)
return $ Middle share (toEnum lowG) (toEnum highG)
-- * Type 'SameLength'
newtype SameLength a = SameLength a
deriving (Eq, Show)
instance Functor SameLength where
fmap f (SameLength x) = SameLength (f x)
instance (Arbitrary g, Bounded g, Enum g, Ord g) => Arbitrary (SameLength (MajorityValue g, MajorityValue g)) where
arbitrary = do
SameLength (x,y) <- arbitrary
return $ SameLength (MajorityValue x, MajorityValue y)
instance (Arbitrary g, Bounded g, Enum g, Ord g) => Arbitrary (SameLength (Merit g, Merit g)) where
arbitrary = do
vs <- arbitraryMerits 2
case vs of
[x,y] -> return $ SameLength (x,y)
_ -> undefined
instance (Arbitrary g, Bounded g, Enum g, Ord g) => Arbitrary (SameLength ([Middle g], [Middle g])) where
arbitrary = do
SameLength (m0, m1) <- arbitrary
return $ SameLength
( unMajorityValue $ majorityValue m0
, unMajorityValue $ majorityValue m1 )