module Exercise08 where import Data.Bits import Data.List import System.Random (Random, mkStdGen, randomIO, randoms) import Data.Ord (comparing) -- Player is either 1 or -1 type Player = Int -- A field is just an Int value where the absolute gives the number of pieces on the field -- and the sign corresponds to the player -- e.g. -3 would mean there are three blobs in this field of player -1 type Field = Int type Row = [Field] type Column = [Field] -- boards are rectangles represented as a list of rows type Board = [Row] -- A position on the board is represented as (row, column) -- (0,0) is the top left corner, coordinate values increase towards the bottom right type Pos = (Int, Int) -- A size represented as (height,width) type Size = (Int, Int) -- A strategy takes the player who's move it is, optionally takes a list of double values -- to allow for probabilistic strategies, takes the current board and gives back the position -- of the move the player should do type Strategy = [Double] -> Player -> Board -> Pos -- A stateful strategy can additionally pass some object between invocations type StatefulStrategyFunc a = a -> [Double] -> Player -> Board -> (Pos, a) -- first value is the state object to pass to the first invocation of each game type StatefulStrategy a = (a, StatefulStrategyFunc a) defaultSize :: (Int, Int) defaultSize = (9, 6) -- Some useful helper functions row :: Board -> Int -> Row row = (!!) column :: Board -> Int -> Column column = row . transpose width :: Board -> Int width (x : _) = length x width _ = 0 height :: Board -> Int height = length size :: Board -> Size size b = (height b, width b) getCell :: Pos -> Board -> Field getCell (y, x) b = b !! y !! x -- pretty print a single cell showCell :: Field -> String showCell c = "- +" !! succ (signum c) : show (abs c) -- pretty print the given board showBoard :: Board -> String showBoard = unlines . map (unwords . map showCell) -- print a board to the console printBoard :: Board -> IO () printBoard = putStr . showBoard -- check if a position is one a board of the given size isValidPos :: Size -> Pos -> Bool isValidPos (r, c) (y, x) = y >= 0 && y < r && x >= 0 && x < c {- x.1 -} -- Check if the given player can put an orb on the given position canPlaceOrb :: Player -> Pos -> Board -> Bool canPlaceOrb p (y, x) b = signum p == signum cell || cell == 0 where cell = getCell (y, x) b -- Check if the given player has won the game, -- you can assume that the opponent has made at least one move before hasWon :: Player -> Board -> Bool hasWon p b = (- signum p) `notElem` [signum y | x <- b, y <- x] -- the list of neighbors of a cell neighbors :: Size -> Pos -> [Pos] neighbors (r, c) (y, x) = filter (\(a, b) -> a < r && b < c && a >= 0 && b >= 0) [(y + 1, x), (y -1, x), (y, x + 1), (y, x -1)] -- update a single position on the board -- f: function that modifies the number of orbs in the cell -- p: player to whom the updated cell should belong updatePos :: (Int -> Int) -> Player -> Pos -> Board -> Board updatePos f p (y, x) b = newBoard where beginning = take y b rest = drop (y + 1) b row = b !! y cell = getCell (y, x) b fCell = p * f (abs cell) newRow = take x row ++ [fCell] ++ drop (x + 1) row newBoard = beginning ++ [newRow] ++ rest {- x.2 -} -- place an orb for the given player in the given cell putOrb :: Player -> Pos -> Board -> Board putOrb p (y, x) b | canPlaceOrb p (y, x) b = overflow p (y, x) tmp | otherwise = b where tmp = updatePos (+1) p (y, x) b overflow :: Player -> Pos -> Board -> Board overflow p (y, x) b | hasWon p b = b | isFilled (y, x) b n = foldr (overflow p) tmp n | otherwise = b where tmp = updatePos (+ (-nLength)) p (y,x) $ foldr (updatePos (+1) p) b n n = neighbors (height b, width b) (y, x) nLength = length n isFilled :: Pos -> Board -> [Pos] -> Bool isFilled (y, x) b n = length n <= abs (getCell (y, x) b) {- x.3 -} {-WETT-} -- Your strategy strategy :: Strategy strategy values p b = fst $ maximumBy (comparing snd) pairs where nextPossibleMoves = getNextMoves p b nextStates = map (flip (putOrb p) b) nextPossibleMoves moveValues = map (((-1)*) . negamax (-p) 2) nextStates pairs = zip nextPossibleMoves moveValues --trivialStrategy :: Player -> Board -> (Int, Int) --trivialStrategy p b = best --where --nextPossibleMoves = getNextMoves p b --nextStates = map (flip (putOrb p) b) nextPossibleMoves --moveValues = map (calcPosition p) nextStates --pairs = zip nextPossibleMoves moveValues --best = fst $ maximumBy (comparing snd) pairs negamax :: Player -> Int -> Board -> Int negamax p depth b | depth == 0 || hasWon p b || hasWon (-p) b = calcPosition p b | otherwise = maximum childrenValues where childrenValues = [-negamax (-p) (pred depth) x | x <- children] children = map (flip (putOrb p) b) $ getNextMoves p b {-minimax2 :: Player -> Int -> Board -> Int -> Int -> Int minimax2 p depth b alpha beta | depth == 0 || hasWon p b || hasWon (-p) b = calcPosition p b | otherwise = test where --childrenValues = [-minimax2 (-p) (pred depth) x (-beta) (-maxVal)| x <- children] test = foldl (\acc x ->max acc (-minimax2 (-p) (pred depth) x (-beta) (-acc))) -100000 children children = map (flip (putOrb p) b) $ getNextMoves p b maxVal = alpha-} calcPosition :: Player -> Board -> Int calcPosition p b | hasWon p b = 10000 | hasWon (-p) b = -10000 | otherwise = p * (sum [sum x | x <- b] + (sum (last b) + sum (head b) + sum (head $ transpose b) + sum (last $ transpose b)) `div` 2) --getNumberOfFilledCells :: Player -> Board -> Int --getNumberOfFilledCells p b = length [getCell (y, x) b | y <- [0..fst (size b)-1], x <- [0..snd (size b)-1], signum (getCell (y,x) b) == signum p, isFilled (y,x) b (n y x)] --where --n y x= neighbors (size b) (y,x) getNextMoves :: Player -> Board -> [(Int,Int)] getNextMoves p b = [(y,x)| y <- [0..fst (size b)-1], x <- [0..snd (size b)-1], canPlaceOrb p (y,x) b] -- adds state to a strategy that doesn't use it wrapStrategy :: Strategy -> StatefulStrategy Int wrapStrategy strat = (0, \s r p b -> (strat r p b, succ s)) -- the actual strategy submissions -- if you want to use state modify this instead of strategy -- additionally you may change the Int in this type declaration to any type that is usefully for your strategy strategyState :: StatefulStrategy Int strategyState = wrapStrategy strategy {-TTEW-} -- Simulate a game between two strategies on a board of the given size and -- returns the state of the board before each move together with the player that won the game play :: [Int] -> Size -> StatefulStrategy a -> StatefulStrategy b -> [(Board, Pos)] play rss (r, c) (isa, sa) (isb, sb) = go rss isa sa isb sb 1 0 (replicate r (replicate c 0)) where -- type signature is necessary, inferred type is wrong! go :: [Int] -> a -> StatefulStrategyFunc a -> b -> StatefulStrategyFunc b -> Player -> Int -> Board -> [(Board, Pos)] go (rs : rss) stc sc stn sn p n b | won = [] | valid = (b, m) : go rss stn sn st' sc (- p) (succ n) (putOrb p m b) | otherwise = [] where won = n > 1 && hasWon (- p) b (m, st') = sc stc (mkRandoms rs) p b valid = isValidPos (size b) m && canPlaceOrb p m b -- Play a game and print it to the console playAndPrint :: Size -> StatefulStrategy a -> StatefulStrategy b -> IO () playAndPrint size sa sb = do seed <- randomIO -- let seed = 42 let moves = play (mkRandoms seed) size sa sb putStr $ unlines (zipWith showState moves $ cycle ['+', '-']) ++ "\n" ++ (case length moves `mod` 2 of 1 -> "Winner: +"; 0 -> "Winner: -") ++ "\n" ++ "View at https://vmnipkow16.in.tum.de/christmas2020/embed.html#i" ++ base64 (1 : t size ++ concatMap (t . snd) moves) ++ "\n" where showState (b, pos) p = showBoard b ++ p : " places at " ++ show pos ++ "\n" t (a, b) = [a, b] mkRandoms :: Random a => Int -> [a] mkRandoms = randoms . mkStdGen base64 :: [Int] -> String base64 xs = case xs of [] -> "" [a] -> f1 a : f2 a 0 : "==" [a, b] -> f1 a : f2 a b : f3 b 0 : "=" a : b : c : d -> f1 a : f2 a b : f3 b c : f4 c : base64 d where alphabet = (!!) "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/" f1 a = alphabet $ shiftR a 2 f2 a b = alphabet $ shiftL (a .&. 3) 4 .|. shiftR b 4 f3 b c = alphabet $ shiftL (b .&. 15) 2 .|. shiftR c 6 f4 c = alphabet $ c .&. 63