在我的应用程序中,我正在尝试实现一个动画系统.在此系统中,动画表示为循环帧列表:
data CyclicList a = CL a [a]
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我们可以(低效率)推进动画,如下所示:
advance :: CyclicList a -> CyclicList a
advance (CL x []) = CL x []
advance (CL x (z:zs)) = CL z (zs ++ [x])
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现在,我很确定这个数据类型是一个comonad:
instance Functor CyclicList where
fmap f (CL x xs) = CL (f x) (map f xs)
cyclicFromList :: [a] -> CyclicList a
cyclicFromList [] = error "Cyclic list must have one element!"
cyclicFromList (x:xs) = CL x xs
cyclicLength :: CyclicList a -> Int
cyclicLength (CL _ xs) = length xs + 1
listCycles :: CyclicList a -> [CyclicList a]
listCycles cl = let
helper 0 _ = []
helper n cl' = cl' : (helper (n-1) $ advance cl')
in helper (cyclicLength cl) cl
instance Comonad CyclicList where
extract (CL x _) = x
duplicate = cyclicFromList . listCycles
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我的问题是:使用comonad实例可以获得什么样的好处(如果有的话)?
提供类型类或实现接口的优点是,为使用该类型类或接口而编写的代码无需任何修改即可使用您的代码。
可以用 来编写哪些程序Comonad?AComonad提供了一种使用 或 来检查当前位置的值(不观察其邻居)的方法,以及一种使用或extract来观察每个位置的邻域的方法。如果没有任何附加功能,这并不是很有用。但是,如果我们还需要实例的其他功能,我们可以编写依赖于本地数据和其他地方的数据的程序。例如,如果我们需要允许我们更改位置的函数,例如您的,我们可以编写仅依赖于数据的本地结构而不依赖于数据结构本身的程序。duplicateextendComonadadvance
举一个具体的例子,考虑一个用Comonad以下Bidirectional类编写的元胞自动机程序:
class Bidirectional c where
forward :: c a -> Maybe (c a)
backward :: c a -> Maybe (c a)
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该程序可以将其与 一起使用Comonad来extract存储在单元格中的数据并探索当前单元格的单元格forward和。backward它可以用来duplicate捕获每个单元的邻域并fmap检查该邻域。这个组合fmap f . duplicate是extract f.
这是这样一个程序。rule'仅对示例感兴趣;它仅使用左值和右值在邻域上实现元胞自动机规则。rule给定类别,从邻域中提取数据,并在每个邻域上运行规则。slice拉出更大的社区,以便我们可以轻松地显示它们。simulate运行模拟,显示每一代的这些更大的邻域。
rule' :: Word8 -> Bool -> Bool -> Bool -> Bool
rule' x l m r = testBit x ((if l then 4 else 0) .|. (if m then 2 else 0) .|. (if r then 1 else 0))
rule :: (Comonad w, Bidirectional w) => Word8 -> w Bool -> w Bool
rule x = extend go
where
go w = rule' x (maybe False extract . backward $ w) (extract w) (maybe False extract . forward $ w)
slice :: (Comonad w, Bidirectional w) => Int -> Int -> a -> w a -> [a]
slice l r a w = sliceL l w (extract w : sliceR r w)
where
sliceR r w | r > 0 = case (forward w) of
Nothing -> take r (repeat a)
Just w' -> extract w' : sliceR (r-1) w'
sliceR _ _ = []
sliceL l w r | l > 0 = case (backward w) of
Nothing -> take l (repeat a) ++ r
Just w' -> sliceL (l-1) w' (extract w':r)
sliceL _ _ r = r
simulate :: (Comonad w, Bidirectional w) => (w Bool -> w Bool) -> Int -> Int -> Int -> w Bool -> IO ()
simulate f l r x w = mapM_ putStrLn . map (map (\x -> if x then '1' else '0') . slice l r False) . take x . iterate f $ w
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该程序可能旨在与列表中的以下Bidirectional Comonad, a一起使用。Zipper
data Zipper a = Zipper {
heads :: [a],
here :: a,
tail :: [a]
} deriving Functor
instance Bidirectional Zipper where
forward (Zipper _ _ [] ) = Nothing
forward (Zipper l h (r:rs)) = Just $ Zipper (h:l) r rs
backward (Zipper [] _ _) = Nothing
backward (Zipper (l:ls) h r) = Just $ Zipper ls l (h:r)
instance Comonad Zipper where
extract = here
duplicate (Zipper l h r) = Zipper (goL (h:r) l) (Zipper l h r) (goR (h:l) r)
where
goL r [] = []
goL r (h:l) = Zipper l h r : goL (h:r) l
goR l [] = []
goR l (h:r) = Zipper l h r : goR (h:l) r
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但也将与CyclicList Bidirectional Comonad.
data CyclicList a = CL a (Seq a)
deriving (Show, Eq, Functor)
instance Bidirectional CyclicList where
forward (CL x xs) = Just $ case viewl xs of
EmptyL -> CL x xs
x' :< xs' -> CL x' (xs' |> x)
backward (CL x xs) = Just $ case viewr xs of
EmptyR -> CL x xs
xs' :> x' -> CL x' (x <| xs')
instance Comonad CyclicList where
extract (CL x _) = x
duplicate (CL x xs) = CL (CL x xs) (go (singleton x) xs)
where
go old new = case viewl new of
EmptyL -> empty
x' :< xs' -> CL x' (xs' >< old) <| go (old |> x') xs'
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我们可以重用simulate任一数据结构。它CyclicList有一个更有趣的输出,因为它不是撞到墙上,而是卷回来与自身交互。
{-# LANGUAGE DeriveFunctor #-}
import Control.Comonad
import Data.Sequence hiding (take)
import Data.Bits
import Data.Word
main = do
putStrLn "10 + 1 + 10 Zipper"
simulate (rule 110) 10 10 30 $ Zipper (take 10 . repeat $ False) True (take 10 . repeat $ False)
putStrLn "10 + 1 + 10 Cyclic"
simulate (rule 110) 10 10 30 $ CL True (fromList (take 20 . repeat $ False))
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