Day 17
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@@ -116,3 +116,10 @@ executable day16
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hs-source-dirs: day16
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default-language: Haskell2010
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default-extensions: LambdaCase
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executable day17
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main-is: Main.hs
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other-modules: Commons Part1 Part2
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build-depends: base ^>=4.15.1.0, array, containers, pqueue
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hs-source-dirs: day17
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default-language: Haskell2010
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52
day17/Commons.hs
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52
day17/Commons.hs
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module Commons where
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import GHC.IO.Handle (isEOF)
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import Data.Set (Set, insert, notMember, empty)
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import Data.Array (Array, listArray)
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import Data.Char (digitToInt)
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import qualified Data.PQueue.Prio.Min as P
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import qualified Data.Map as M
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data Direction = North | East | South | West deriving (Ord, Eq, Show)
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type Node = ((Int, Int), Direction, Int)
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type City = Array (Int, Int) Int
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parseLine :: String -> [Int]
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parseLine = map digitToInt
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parseCity :: IO [[Int]]
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parseCity = do done <- isEOF
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if done
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then return []
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else do line <- getLine
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let cityLine = parseLine line
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city <- parseCity
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return (cityLine: city)
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parse :: IO City
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parse = do city <- parseCity
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return $ listArray ((1, 1), (length city, length $ head city)) $ concat city
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astarEstimation :: Node -> Node -> Int
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astarEstimation ((yF, xF), _, _) ((y, x), _, _) = abs (yF - y) + abs (xF - x)
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astarIteration :: (Node -> [(Node, Int)]) -> (Node -> Node -> Int) -> Node ->
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P.MinPQueue Int (Node, Int) -> Set Node -> M.Map Node Int -> Maybe Int
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astarIteration next estimation goal open closed costs
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| null open = Nothing
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| otherwise = let ((_, (node, cost)), openNoMin) = P.deleteFindMin open
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newClosed = insert node closed
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nextNodes = filter (\ (n, c) -> (n `notMember` closed)
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&& (n `M.notMember` costs || costs M.! n > c + cost)) $ next node
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estNextNodes = map (\ (n, c) -> (n, c + cost, estimation n goal)) nextNodes
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newOpen = foldl (\ open (n, c, e) -> P.insert (c + e) (n, c) open) openNoMin estNextNodes
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newCosts = foldl (\ costs (n, c, _) -> M.insert n c costs) costs estNextNodes
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in if node == goal then Just cost
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else astarIteration next estimation goal newOpen newClosed newCosts
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astar :: Node -> Node -> (Node -> [(Node, Int)]) -> (Node -> Node -> Int) -> Maybe Int
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astar start end next estimation = astarIteration next estimation end (P.singleton (estimation start end) (start, 0))
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empty $ M.singleton start 0
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14
day17/Main.hs
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14
day17/Main.hs
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@@ -0,0 +1,14 @@
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module Main where
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import Commons
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import Data.Array (bounds)
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import Data.Map ((!))
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import qualified Part1
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import qualified Part2
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main = do city <- parse
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let part1Res = Part1.getAllAstar city
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print $ minimum part1Res
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let part2Res = Part2.getAllAstar city
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print $ minimum part2Res
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30
day17/Part1.hs
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30
day17/Part1.hs
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@@ -0,0 +1,30 @@
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module Part1 where
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import Commons
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import Data.Array (Ix(inRange), bounds, (!))
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import Data.Maybe (catMaybes)
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cleanAstarNext :: City -> [Node] -> [(Node, Int)]
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cleanAstarNext city = map (\ (c, d, n) -> ((c, d, n), city ! c))
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. filter (\ ((y, x), _, n) -> inRange (bounds city) (y, x) && n <= 3)
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astarNext :: City -> Node -> [(Node, Int)]
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astarNext city ((y, x), East, n) = cleanAstarNext city [((y - 1, x), North, 1),
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((y + 1, x), South, 1),
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((y, x + 1), East, n + 1)]
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astarNext city ((y, x), South, n) = cleanAstarNext city [((y + 1, x), South, n + 1),
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((y, x + 1), East, 1),
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((y, x - 1), West, 1)]
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astarNext city ((y, x), West, n) = cleanAstarNext city [((y - 1, x), North, 1),
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((y + 1, x), South, 1),
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((y, x - 1), West, n + 1)]
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astarNext city ((y, x), North, n) = cleanAstarNext city [((y - 1, x), North, n + 1),
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((y, x + 1), East, 1),
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((y, x - 1), West, 1)]
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applyAstar :: City -> Direction -> Int -> Maybe Int
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applyAstar city d n = astar ((1, 1), East, 0) (snd $ bounds city, d, n) (astarNext city) astarEstimation
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getAllAstar :: City -> [Int]
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getAllAstar city = catMaybes [applyAstar city d n | d <- [East, South], n <- [1..3]]
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34
day17/Part2.hs
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34
day17/Part2.hs
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@@ -0,0 +1,34 @@
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module Part2 where
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import Commons
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import Data.Array (Ix(inRange), bounds, (!))
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import Data.Maybe (catMaybes)
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cleanAstarNext :: City -> [Node] -> [(Node, Int)]
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cleanAstarNext city = map (\ (c, d, n) -> ((c, d, n), city ! c))
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. filter (\ ((y, x), _, n) -> inRange (bounds city) (y, x) && n <= 10)
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astarNext :: City -> Node -> [(Node, Int)]
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astarNext city ((y, x), East, n) | n < 4 = cleanAstarNext city [((y, x + 1), East, n + 1)]
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| otherwise = cleanAstarNext city [((y - 1, x), North, 1),
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((y + 1, x), South, 1),
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((y, x + 1), East, n + 1)]
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astarNext city ((y, x), South, n) | n < 4 = cleanAstarNext city [((y + 1, x), South, n + 1)]
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| otherwise = cleanAstarNext city [((y + 1, x), South, n + 1),
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((y, x + 1), East, 1),
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((y, x - 1), West, 1)]
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astarNext city ((y, x), West, n) | n < 4 = cleanAstarNext city [((y, x - 1), West, n + 1)]
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| otherwise = cleanAstarNext city [((y - 1, x), North, 1),
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((y + 1, x), South, 1),
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((y, x - 1), West, n + 1)]
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astarNext city ((y, x), North, n) | n < 4 = cleanAstarNext city [((y - 1, x), North, n + 1)]
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| otherwise = cleanAstarNext city [((y - 1, x), North, n + 1),
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((y, x + 1), East, 1),
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((y, x - 1), West, 1)]
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applyAstar :: City -> Direction -> Int -> Maybe Int
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applyAstar city d n = astar ((1, 1), East, 0) (snd $ bounds city, d, n) (astarNext city) astarEstimation
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getAllAstar :: City -> [Int]
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getAllAstar city = catMaybes [applyAstar city d n | d <- [East, South], n <- [4..10]]
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