程序代写代做代考 C go game html 12/08/2020 Code (Week 5 Wednesday)

12/08/2020 Code (Week 5 Wednesday)
Code (Week 5 Wednesday) Tic-tac-toe
module TicTacToe where
import Test.QuickCheck
import Test.QuickCheck.Monadic
import Control.Monad.State
import System.Random (randomRIO) — package ‘random’ import Data.List
import Data.Maybe
— The state of the game data Game = Game
{ board :: [Tile]
, player :: Tile
}
deriving (Show)
instance Arbitrary Game where
arbitrary =
do
— Tiles on the board data Tile
= Neither
| Naught
| Cross
deriving (Eq)
instance Show Tile where show Neither = “•” show Naught = “○” show Cross = “✕”
instance Arbitrary Tile where
arbitrary = do
{ choice <- arbitrary :: Gen Int ; pure $ case choice `mod` 3 of { player <- arbitrary ; board <- vector 9 ; pure $ Game board player } www.cse.unsw.edu.au/~cs3141/20T2/Week 05/Wednesday/Code.html 1/7 12/08/2020 Code (Week 5 Wednesday) 0 -> Neither
1 -> Naught
2 -> Cross
}
— A position on the board type Position = (Int, Int)
— A player of the game

— A player may perform IO operations to determine their move type Player = Game -> IO Position
— A game of TicTacToe
ticTacToe :: Player -> Player -> IO () ticTacToe naughts crosses = gameLoop newGame
where
newGame :: Game
newGame = Game (replicate 9 Neither) Naught
gameLoop :: Game -> IO ()
gameLoop game =
do
where
playerMove game = do
{ (x, y) <- case player game of Naught -> naughts game
Cross -> crosses game
; let
isValid = (x, y) `elem` possibleMoves (board game)
nextPlayer = case player game of
Naught -> Cross
Cross -> Naught
; if isValid
then do
{ let position = (y * 3) + x
; let nextBoard = insert position game
; gameLoop $ Game nextBoard nextPlayer
}
else putStrLn $ “Invalid move ” ++ show (x, y)
}
{ showBoard game
; if null $ possibleMoves $ board game
then putStrLn “No more moves”
else case winner (board game) of
Neither -> playerMove game
winner -> putStrLn $ “Winner: ” ++ show winner
}
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insert :: Int -> Game -> [Tile]
insert position (Game board player)
= take position board
++ [player]
++ drop (position + 1) board
— Show the game board showBoard :: Game -> IO () showBoard (Game board player) =
do
where
boardLoop :: Int -> [Tile] -> IO ()
boardLoop _ [] = pure ()
boardLoop 3 ts = do
{ putStrLn “\n-+-+-”
; boardLoop 0 ts
}
boardLoop x (t:ts) = do
{ if x /= 0 then putChar ‘|’ else pure ()
; putStr (show t)
; boardLoop (x + 1) ts
}
— Determine the current winner
winner :: [Tile] -> Tile
winner = diagonals `or` rows `or` columns
where
diagonals :: [Tile] -> Tile
diagonals ts
| ts !! 0 == ts !! 4 && ts !! 4 == ts !! 8 = ts !! 4
| ts !! 2 == ts !! 4 && ts !! 4 == ts !! 6 = ts !! 4
| otherwise = Neither
rows :: [Tile] -> Tile
rows = row 0 `or` row 3 `or` row 6
row :: Int -> [Tile] -> Tile
row n ts
| ts !! n == ts !! (n+1) && ts !! (n+1) == ts !! (n+2) = ts !! n
| otherwise = Neither
columns :: [Tile] -> Tile
columns = column 0 `or` column 1 `or` column 2
{ boardLoop 0 board
; putStrLn “\n”
; putStrLn $ “The current player is ” ++ show player
; putChar ‘\n’
}
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12/08/2020 Code (Week 5 Wednesday)
column :: Int -> [Tile] -> Tile
column n ts
| ts !! n == ts !! (n+3) && ts !! (n+3) == ts !! (n+6) = ts !! n
| otherwise = Neither
or :: ([Tile] -> Tile) -> ([Tile] -> Tile) -> [Tile] -> Tile
or left right tiles =
case left tiles of
Neither -> right tiles
winner -> winner
— Get the list of all available moves possibleMoves :: [Tile] -> [Position] possibleMoves = go (0, 0)
where
go (_, _) [] = []
go (x, y) (t:ts) =
let
nextPos = if x == 2 then (0, y + 1) else (x + 1, y)
rest = go nextPos ts
in case t of
Neither -> (x, y) : rest
_ -> rest
— An interactive player interactive :: Player interactive _ = do
{ putStr “What is your next move? ”
; readLn
}
— An A.I. that will make random moves randomAi :: Player
randomAi (Game board player) = do
{ let moves = possibleMoves board
; choice <- randInt (0, length moves) ; pure $ moves !! choice } -- An A.I. that simulates games to determine the best move -- -- We want the first move in the shortest sequence of moves that will -- let us win. simulationAi :: Player simulationAi game = do { let best = findBest $ values game ; case best of Just move -> pure move
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— Fall back to random if no good moves remain
Nothing -> randomAi game
}
where
values :: Game -> [(Int, Position)]
values = take 100 . mapMaybe checkSim . possibleSims
findBest :: [(Int, Position)] -> Maybe Position
findBest [] = Nothing
findBest (m:ms) = Just $ rec m ms
where
rec (v, m) [] = m
rec (v, m) ((v’, m’):ms)
| v’ Maybe (Int, Position)
checkSim sim = case simulationValue (player $ simGame sim) sim of
Nothing -> Nothing
Just value -> Just (value, head $ simMoves sim)
data Simulation = Simulation
{ simGame :: Game — Current board and player state
, simMoves :: [Position] — Sequence of remaining moves , simCount :: Int — Number of moves played
}
— Generate the list of simulations for a given game
possibleSims :: Game -> [Simulation]
possibleSims game = map ((flip $ Simulation game) 0) $ permutations moves
where
moves = possibleMoves $ board game
— Get the ‘value’ of a simulation, the number of moves for a given — player to win
simulationValue :: Tile -> Simulation -> Maybe Int
simulationValue player = evalState go
where
go :: State Simulation (Maybe Int)
go = do
{ position <- nextMove ; game <- gets simGame ; case position of Just (x, y) -> do
{ let nextBoard = insert (x + y * 3) game
; if winner nextBoard == player
then do
{ count <- gets simCount ; pure $ Just count www.cse.unsw.edu.au/~cs3141/20T2/Week 05/Wednesday/Code.html 5/7 12/08/2020 Code (Week 5 Wednesday) } else if winner nextBoard == Neither then do { modify (endTurn nextBoard) ; go } else pure Nothing } Nothing -> pure Nothing
}
nextMove :: State Simulation (Maybe Position)
nextMove = do
{ (Simulation game moves count) <- get ; case moves of (m:ms) -> do
{ put (Simulation game ms count)
; pure $ Just m
}
[] -> pure Nothing
}
insert :: Int -> Game -> [Tile]
insert position (Game board player)
= take position board
++ [player]
++ drop (position + 1) board
endTurn :: [Tile] -> Simulation -> Simulation
endTurn newBoard (Simulation (Game _ player) moves c)
| player == Naught = Simulation
{ simGame = Game newBoard Cross
, simMoves = moves
, simCount = c + 1
}
| player == Cross = Simulation
{ simGame = Game newBoard Naught
, simMoves = moves
, simCount = c + 1
}
— An A.I. should never make an invalid move prop_onlyValid :: Player -> Game -> PropertyM IO () prop_onlyValid player game = do
{ let moves = possibleMoves $ board game
; pre $ not $ null moves
; move <- run $ player game ; assert $ move `elem` moves } www.cse.unsw.edu.au/~cs3141/20T2/Week 05/Wednesday/Code.html 6/7 12/08/2020 Code (Week 5 Wednesday) -- Generate random integers in a range [min, max) randInt :: (Int, Int) -> IO Int
randInt (min, max) = randomRIO (min, max – 1)
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