Jul*_*ian 2 algorithm haskell functional-programming shuffle purely-functional
在执行过程中,我可以编写如下函数:
func pureFisherYates(s []int, swaps []int) []int {
newS := copy(s)
for i, _ := range newS {
for _, j := range swaps {
newS[i], newS[j] = newS[j], newS[i]
}
}
}
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对我来说,这似乎是一个纯粹的功能。在给定相同输入的情况下,它总是返回相同的输出,并且不会改变世界的状态(严格意义上讲,它与其他任何函数都一样,占用cpu资源,产生热能,等等)。然而,每当我寻找如何进行纯随机转换时,我都会发现类似这样的东西,每当我寻找特定的Haskell实现Fisher-Yates时,我就可以0^2使用列表或[a] -> IO [a]实现来实现Fisher-Yates 。是否存在[a] -> [a] O(n)改组,如果没有,我的上述实现为何不正确。
该ST单子允许正是这样封装的可变性,以及Data.Array.ST包含能够在被突变阵列ST,然后一个不可变的版本返回外部。
https://wiki.haskell.org/Random_shuffle使用给出了两种Fisher-Yates混编的实现ST。它们不是字面上的[a] -> [a],而是因为还需要处理随机数的生成:
import System.Random
import Data.Array.ST
import Control.Monad
import Control.Monad.ST
import Data.STRef
-- | Randomly shuffle a list without the IO Monad
-- /O(N)/
shuffle' :: [a] -> StdGen -> ([a],StdGen)
shuffle' xs gen = runST (do
g <- newSTRef gen
let randomRST lohi = do
(a,s') <- liftM (randomR lohi) (readSTRef g)
writeSTRef g s'
return a
ar <- newArray n xs
xs' <- forM [1..n] $ \i -> do
j <- randomRST (i,n)
vi <- readArray ar i
vj <- readArray ar j
writeArray ar j vi
return vj
gen' <- readSTRef g
return (xs',gen'))
where
n = length xs
newArray :: Int -> [a] -> ST s (STArray s Int a)
newArray n xs = newListArray (1,n) xs
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和
import Control.Monad
import Control.Monad.ST
import Control.Monad.Random
import System.Random
import Data.Array.ST
import GHC.Arr
shuffle :: RandomGen g => [a] -> Rand g [a]
shuffle xs = do
let l = length xs
rands <- forM [0..(l-2)] $ \i -> getRandomR (i, l-1)
let ar = runSTArray $ do
ar <- thawSTArray $ listArray (0, l-1) xs
forM_ (zip [0..] rands) $ \(i, j) -> do
vi <- readSTArray ar i
vj <- readSTArray ar j
writeSTArray ar j vi
writeSTArray ar i vj
return ar
return (elems ar)
*Main> evalRandIO (shuffle [1..10])
[6,5,1,7,10,4,9,2,8,3]
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编辑:与swaps您的Go代码中的参数一样,该代码非常简单
{-# LANGUAGE ScopedTypeVariables #-}
import Data.Array.ST
import Data.Foldable
import Control.Monad.ST
shuffle :: forall a. [a] -> [Int] -> [a]
shuffle xs swaps = runST $ do
let n = length xs
ar <- newListArray (1,n) xs :: ST s (STArray s Int a)
for_ [1..n] $ \i ->
for_ swaps $ \j -> do
vi <- readArray ar i
vj <- readArray ar j
writeArray ar j vi
writeArray ar i vj
getElems ar
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但我不确定您是否可以合理地称其为Fisher-Yates洗牌。