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September 20, 2021 07:42
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Maze Solving Algorithm using LogicT
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module Main where | |
import Control.Monad | |
import Control.Monad.Logic | |
import Control.Monad.Logic.Class | |
import Control.Monad.Trans.Class | |
import Control.Monad.Trans.Reader | |
import Control.Applicative | |
import Data.List | |
import qualified Data.Map.Strict as M | |
import Data.Map.Strict (Map(..)) | |
import Lib | |
-- NonDeterminism Example from Lyxia | |
f :: Int | |
f = | |
let search xs | |
| sum xs < 37 = ([1,5,10,25,50]) >>= \n -> search (n : xs) | |
| sum xs == 37 = [xs] | |
| otherwise = [] | |
in length (search [] :: [[Int]]) | |
data BoundaryType = Entrance | Exit | Door deriving Show | |
type Cell a = Location -> Maybe a | |
type Maze = Map Location (Logic Location) | |
type Location = (Int, Int) | |
weave :: (Foldable t) => t a -> Logic a | |
weave = foldl' (\b a -> b `interleave` pure a) empty | |
maze :: Maze | |
maze = M.fromList $ | |
[ ((0,0), weave [(1,0),(0,1)]) | |
, ((0,1), weave [(0,0),(1,1)]) | |
, ((1,0), weave [(0,0),(1,1),(2,0)]) | |
, ((1,1), weave [(1,0),(1,2),(0,1)]) | |
, ((1,2), weave [(1,1),(1,3)]) | |
, ((1,3), weave [(1,2)]) | |
, ((2,0), weave [(1,0),(2,1)]) | |
, ((2,1), weave [(2,0),(2,2)]) | |
, ((2,2), weave [(2,1)]) | |
] | |
{- | |
___ ___ | |
|_|f| | | |
| | | | |
|s | | |
- ----- | |
solution1 = [(1,3),(1,2),(1,1),(1,0),(0,0)] | |
solution2 = [(1,3),(1,2),(1,1),(0,1),(0,0)] | |
-} | |
isExit :: Location -> Bool | |
isExit (1,3) = True | |
isExit _ = False | |
findDoors :: Location -> Logic Location | |
findDoors = maybe empty id . (flip M.lookup maze) | |
type MazeRunner = ReaderT [Location] Logic [Location] | |
runMaze :: Location -> MazeRunner | |
runMaze loc = do | |
visitedRooms <- ask | |
if isExit loc | |
then return visitedRooms | |
else do | |
newDoor <- lift $ findDoors loc | |
if not (elem newDoor visitedRooms) | |
then local (const (newDoor : visitedRooms)) (runMaze newDoor) | |
else empty |
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