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πŸƒ - 2024 DAY 18 SOLUTIONS - πŸƒ

Day 18: Ram Run

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FAQ

22
22 comments
  • Haskell

    Not really happy with performance, binary search would speed this up a bunch, takes about 1.3 seconds.

    Update: Binary search got it to 960 ms.

    Code
    import Data.Maybe
    import qualified Data.Set as S
    
    type Coord = (Int, Int)
    
    parse :: String -> [Coord]
    parse = map (read . ('(' :) . (++ ")")) . takeWhile (not . null) . lines
    
    shortest :: Coord -> [Coord] -> Maybe Int
    shortest (x0, y0) corrupted' = go $ S.singleton (x0 - 1, y0 - 1)
        where
            corrupted = S.fromList corrupted'
            inside (x, y)
                | x < 0     = False
                | y < 0     = False
                | x0 <= x   = False
                | y0 <= y   = False
                | otherwise = True
            grow cs = S.filter inside $ S.unions $ cs :
                [ S.mapMonotonic (\(x, y) -> (x + dx, y + dy)) cs
                | (dx, dy) <- [(-1, 0), (0, -1), (0, 1), (1, 0)]
                ]
            go visited
                | (0, 0) `S.member` visited = Just 0
                | otherwise                 = case grow visited S.\\ corrupted of
                    visited'
                        | S.size visited == S.size visited' -> Nothing
                        | otherwise                         -> succ <$> go visited'
    
    main :: IO ()
    main = do
        rs <- parse <$> getContents
        let size = (71, 71)
        print $ fromJust $ shortest size $ take 1024 rs
        putStrLn $ init $ tail $ show $ last $ zipWith const (reverse rs) $
            takeWhile (isNothing . shortest size) $ iterate init rs
    
    Faster (binary search)
    import Data.Maybe
    import qualified Data.Set as S
    
    type Coord = (Int, Int)
    
    parse :: String -> [Coord]
    parse = map (read . ('(' :) . (++ ")")) . takeWhile (not . null) . lines
    
    shortest :: Coord -> [Coord] -> Maybe Int
    shortest (x0, y0) corrupted' = go $ S.singleton (x0 - 1, y0 - 1)
        where
            corrupted = S.fromList corrupted'
            inside (x, y)
                | x < 0     = False
                | y < 0     = False
                | x0 <= x   = False
                | y0 <= y   = False
                | otherwise = True
            grow cs = S.filter inside $ S.unions $ cs :
                [ S.mapMonotonic (\(x, y) -> (x + dx, y + dy)) cs
                | (dx, dy) <- [(-1, 0), (0, -1), (0, 1), (1, 0)]
                ]
            go visited
                | (0, 0) `S.member` visited = Just 0
                | otherwise                 = case grow visited S.\\ corrupted of
                    visited'
                        | S.size visited == S.size visited' -> Nothing
                        | otherwise                         -> succ <$> go visited'
    
    solve2 :: Coord -> [Coord] -> Coord
    solve2 r0 corrupted = go 0 $ length corrupted
        where
            go a z
                | succ a == z = corrupted !! a
                | otherwise   =
                    let x = (a + z) `div` 2
                    in  case shortest r0 $ take x corrupted of
                            Nothing -> go a x
                            Just _  -> go x z
    
    main :: IO ()
    main = do
        rs <- parse <$> getContents
        let size = (71, 71)
        print $ fromJust $ shortest size $ take 1024 rs
        putStrLn $ init $ tail $ show $ solve2 size rs
    
  • Haskell

    solution
    import Control.Arrow
    import Control.Monad
    import Control.Monad.RWS
    import Control.Monad.Trans.Maybe
    import Data.Array (inRange)
    import Data.Char
    import Data.Set qualified as S
    import Text.ParserCombinators.ReadP hiding (get)
    
    parse = fst . last . readP_to_S (endBy ((,) <$> num <*> (char ',' *> num)) $ char '\n')
     where
      num = read <$> munch1 isDigit
    
    bounds = ((0, 0), (70, 70))
    
    bfs :: MaybeT (RWS (S.Set (Int, Int)) () (S.Set (Int, Int), [(Int, (Int, Int))])) Int
    bfs = do
      (seen, (c, x) : xs) <- get
      modify . second $ const xs
      isCorrupt <- asks (S.member x)
    
      when (not (x `S.member` seen) && not isCorrupt && inRange bounds x) $
        modify (S.insert x *** (++ ((succ c,) <$> neighbors x)))
    
      if x == snd bounds
        then return c
        else bfs
    
    neighbors (x, y) = [(succ x, y), (pred x, y), (x, succ y), (x, pred y)]
    
    findPath = fst . flip (evalRWS (runMaybeT bfs)) (mempty, [(0, (0, 0))]) . S.fromList
    
    part1 = findPath . take 1024
    
    search corrupt = go 0 (length corrupt)
     where
      go l r = case (findPath $ take (pred m) corrupt, findPath $ take m corrupt) of
        (Just _, Just _) -> go m r
        (Just _, Nothing) -> Just $ pred m
        (Nothing, Nothing) -> go l m
       where
        m = (l + r) `div` 2
    
    part2 = liftM2 fmap (!!) search
    
    main = getContents >>= print . (part1 &&& part2) . parse
    
  • Uiua

    I didn't think I could do this in Uiua this morning, but I gave it some thought while walking the dog and managed to wrangle the data into shape tonight. I factored out the binary chop as that seems like another useful tool to have up my sleeve.

    EDIT: goddammit, Kai literally snuck a new RC release out just after I posted this, with a breaking change to how path works. Updated version below.

    Try it here!

    Data  ← ≑◇(βŠœβ‹•βŠΈβ‰ @,)Β°/$"_\n_" "5,4\n4,2\n4,5\n3,0\n2,1\n6,3\n2,4\n1,5\n0,6\n3,3\n2,6\n5,1\n1,2\n5,5\n2,5\n6,5\n1,4\n0,4\n6,4\n1,1\n6,1\n1,0\n0,5\n1,6\n2,0"
    End   ← 6_6
    Count ← 12
    
    Dβ‚„      ← [1_0 Β―1_0 0_1 0_Β―1]
    Valid   ← β–½Β¬βŠΈβˆŠ:β–½βŠΈ(≑/Γ—Γ—βŠƒ(β‰€βŠ’End|β‰₯0))+Dβ‚„Β€
    BestLen ← ⍣(-1⧻⊒path(Valid|≍End)0_0↙:Data|∞)
    Chop!   ← β—Œβ’(⨬(βŠ™β—Œ+1|βŠ™βŠ™β—Œ:):⟜^0⌊÷2+,,|>)
    
    &p BestLen Count
    &p/$"_,_"⊏:Data-1Chop!(=∞BestLen)Count ⧻Data
    
    spoiler
  • Haskell

    I did an easy optimization for part 2, but it's not too slow without.

    Solution
    import Control.Monad
    import Data.Ix
    import Data.List
    import Data.Map qualified as Map
    import Data.Maybe
    import Data.Set (Set)
    import Data.Set qualified as Set
    
    readInput :: String -> [(Int, Int)]
    readInput = map readCoords . lines
      where
        readCoords l = let (a, _ : b) = break (== ',') l in (read a, read b)
    
    findRoute :: (Int, Int) -> Set (Int, Int) -> Maybe [(Int, Int)]
    findRoute goal blocked = go Set.empty (Map.singleton (0, 0) [])
      where
        go seen paths
          | Map.null paths = Nothing
          | otherwise =
              (paths Map.!? goal)
                `mplus` let seen' = Set.union seen (Map.keysSet paths)
                            paths' =
                              (`Map.withoutKeys` seen')
                                . foldl' (flip $ uncurry Map.insert) Map.empty
                                . concatMap (\(p, path) -> (,p : path) <$> step p)
                                $ Map.assocs paths
                         in go seen' paths'
        step (x, y) = do
          (dx, dy) <- [(0, -1), (0, 1), (-1, 0), (1, 0)]
          let p' = (x + dx, y + dy)
          guard $ inRange ((0, 0), goal) p'
          guard $ p' `Set.notMember` blocked
          return p'
    
    dropAndFindRoutes goal skip bytes =
      let drops = drop skip $ zip bytes $ drop 1 $ scanl' (flip Set.insert) Set.empty bytes
       in zip (map fst drops) $ scanl' go (findRoute goal (snd $ head drops)) $ tail drops
      where
        go route (p, blocked) = do
          r <- route
          if p `elem` r then findRoute goal blocked else route
    
    main = do
      input <- readInput <$> readFile "input18"
      let routes = dropAndFindRoutes (70, 70) 1024 input
      print $ length <$> (snd . head) routes
      print $ fst <$> find (isNothing . snd) routes
    
  • Haskell

    Wasn't there a pathfinding problem just recently?

    Edit: Optimization to avoid recalculating paths all the time

    Haskell with lambdas
    import Control.Arrow
    import Control.Monad
    import Data.Bifunctor hiding (first, second)
    
    import Data.Set (Set)
    import Data.Map (Map)
    
    import qualified Data.List as List
    import qualified Data.Set as Set
    import qualified Data.Map as Map
    import qualified Data.Maybe as Maybe
    
    parse :: String -> [(Int, Int)]
    parse = map (join bimap read) . map (break (== ',') >>> second (drop 1)) . filter (/= "") . lines
    
    lowerBounds = (0, 0)
    exitPosition = (70, 70)
    initialBytes = 1024
    
    adjacent (py, px) = Set.fromDistinctAscList [(py-1, px), (py, px-1), (py, px+1), (py+1, px)]
    
    data Cost = Wall | Explored Int
            deriving (Show, Eq)
    
    inBounds (py, px)
            | py < 0 = False
            | px < 0 = False
            | py > fst exitPosition = False
            | px > snd exitPosition = False
            | otherwise = True
    
    dijkstra :: Map Int (Set (Int, Int)) -> Map (Int, Int) Cost -> (Int, (Int, Int), Map (Int, Int) Cost)
    dijkstra queue walls
            | Map.null queue = (-1, (-1, -1), Map.empty)
            | minPos == exitPosition = (minKey, minPos, walls)
            | Maybe.isJust (walls Map.!? minPos) = dijkstra remainingQueue' walls
            | not . inBounds $ minPos = dijkstra remainingQueue' walls
            | otherwise = dijkstra neighborQueue updatedWalls
            where
                    ((minKey, posSet), remainingQueue) = Maybe.fromJust . Map.minViewWithKey $ queue
                    (minPos, remainingPosSet) = Maybe.fromJust . Set.minView $ posSet
                    remainingQueue' = if not . Set.null $ remainingPosSet then Map.insert minKey remainingPosSet remainingQueue else remainingQueue
                    neighborQueue = List.foldl (\ m n -> Map.insertWith (Set.union) neighborKey (Set.singleton n) m) remainingQueue' neighbors
                    updatedWalls = Map.insert minPos (Explored minKey) walls
                    neighborKey = minKey + 1
                    neighbors = adjacent minPos
    
    isExplored :: Cost -> Bool
    isExplored Wall = False
    isExplored (Explored _) = True
    
    findPath :: Int -> (Int, Int) -> Map (Int, Int) Cost -> [(Int, Int)]
    findPath n p ts
            | p == lowerBounds = [lowerBounds]
            | n == 0 = error "Out of steps when tracing backwards"
            | List.null neighbors = error "No matching neighbors when tracing backwards"
            | otherwise = p : findPath (pred n) (fst . head $ neighbors) ts
            where
                    neighbors = List.filter ((== Explored (pred n)) . snd) . List.filter (isExplored . snd) . List.map (join (,) >>> second (ts Map.!)) . List.filter inBounds . Set.toList . adjacent $ p
    
    runDijkstra = flip zip (repeat Wall)
            >>> Map.fromList
            >>> dijkstra (Map.singleton 0 (Set.singleton lowerBounds))
    
    fst3 :: (a, b, c) -> a
    fst3 (a, _, _) = a
    
    thrd :: (a, b, c) -> c
    thrd (_, _, c) = c
    
    part1 = take initialBytes
            >>> runDijkstra
            >>> \ (n, _, _) -> n
    
    firstFailing :: [(Int, Int)] -> [[(Int, Int)]] -> (Int, Int)
    firstFailing path (bs:bss)
            | List.last bs `List.notElem` path = firstFailing path bss
            | c == (-1) = List.last bs
            | otherwise = firstFailing (findPath c p ts) bss
            where
                    (c, p, ts) = runDijkstra bs
    
    part2 bs = repeat
            >>> zip [initialBytes..length bs]
            >>> map (uncurry take)
            >>> firstFailing path
            $ bs
            where
                    (n, p, ts) = runDijkstra . take 1024 $ bs
                    path = findPath n p ts
    
    main = getContents
            >>= print
            . (part1 &&& part2)
            . parse
    
  • Dart

    I knew keeping my search code from day 16 would come in handy, I just didn't expect it to be so soon.

    For Part 2 it finds that same path (laziness on my part), then does a simple binary chop to home in on the last valid path. (was then searches for the first block that will erm block that path, and re-runs the search after that block has dropped, repeating until blocked. Simple but okay. )

    90 lines, half of which is my copied search method. Runs in a couple of seconds which isn't great, but isn't bad. Binary chop dropped it to 200ms.

    import 'dart:math';
    import 'package:collection/collection.dart';
    import 'package:more/more.dart';
    
    var d4 = <Point<num>>[Point(0, 1), Point(0, -1), Point(1, 0), Point(-1, 0)];
    
    solve(List<String> lines, int count, Point end, bool inPart1) {
      var blocks = (lines
          .map((e) => e.split(',').map(int.parse).toList())
          .map((p) => Point<num>(p[0], p[1]))).toList();
      var blocksSofar = blocks.take(count).toSet();
      var start = Point(0, 0);
      Map<Point, num> fNext(Point here) => {
            for (var d in d4
                .map((d) => d + here)
                .where((e) =>
                    e.x.between(start.x, end.x) &&
                    e.y.between(start.y, end.y) &&
                    !blocksSofar.contains(e))
                .toList())
              d: 1
          };
    
      int fHeur(Point here) => 1;
      bool fAtEnd(Point here) => here == end;
      var cost = aStarSearch<Point>(start, fNext, fHeur, fAtEnd);
    
      if (inPart1) return cost.first;
      var lo = count, hi = blocks.length;
      while (lo <= hi) {
        var mid = (lo + hi) ~/ 2;
        blocksSofar = blocks.take(mid).toSet();
        cost = aStarSearch<Point>(start, fNext, fHeur, fAtEnd);
        (cost.first > 0) ? lo = mid + 1 : hi = mid - 1;
      }
      var p = blocks[lo - 1];
      return '${p.x},${p.y}';
    }
    
    part1(lines, count, end) => solve(lines, count, end, true);
    part2(lines, count, end) => solve(lines, count, end, false);
    
    That search method
    /// Returns cost to destination, plus list of routes to destination.
    /// Does Dijkstra/A* search depending on whether heuristic returns 1 or
    /// something better.
    (num, List<List<T>>) aStarSearch<T>(T start, Map<T, num> Function(T) fNext,
        int Function(T) fHeur, bool Function(T) fAtEnd,
        {multiplePaths = false}) {
      var cameFrom = SetMultimap<T, T>.fromEntries([MapEntry(start, start)]);
    
      var ends = <T>{};
      var front = PriorityQueue<T>((a, b) => fHeur(a).compareTo(fHeur(b)))
        ..add(start);
      var cost = <T, num>{start: 0};
      while (front.isNotEmpty) {
        var here = front.removeFirst();
        if (fAtEnd(here)) {
          ends.add(here);
          continue;
        }
        var ns = fNext(here);
        for (var n in ns.keys) {
          var nCost = cost[here]! + ns[n]!;
          if (!cost.containsKey(n) || nCost < cost[n]!) {
            cost[n] = nCost;
            front.add(n);
            cameFrom.removeAll(n);
            cameFrom[n].add(here);
          }
          if (multiplePaths && cost[n] == nCost) cameFrom[n].add(here);
        }
      }
    
      Iterable<List<T>> routes(T h) sync* {
        if (h == start) {
          yield [h];
          return;
        }
        for (var p in cameFrom[h]) {
          yield* routes(p).map((e) => e + [h]);
        }
      }
    
      if (ends.isEmpty) return (-1, []);
      var minCost = ends.map((e) => cost[e]!).min;
      ends = ends.where((e) => cost[e]! == minCost).toSet();
      return (minCost, ends.fold([], (s, t) => s..addAll(routes(t).toList())));
    }
    
  • Rust

    Naive approach running BFS after every dropped byte after 1024. Still runs in 50ms. This could be much optimized by using binary search to find the first blocked round and using A* instead of BFS, but I didn't feel like doing more today.

    Solution
    use std::collections::VecDeque;
    
    use euclid::{default::*, vec2};
    
    fn parse(input: &str) -> Vec<Point2D<i32>> {
        input
            .lines()
            .map(|l| {
                let (x, y) = l.split_once(',').unwrap();
                Point2D::new(x.parse().unwrap(), y.parse().unwrap())
            })
            .collect()
    }
    
    const BOUNDS: Rect<i32> = Rect::new(Point2D::new(0, 0), Size2D::new(71, 71));
    const START: Point2D<i32> = Point2D::new(0, 0);
    const TARGET: Point2D<i32> = Point2D::new(70, 70);
    const N_BYTES: usize = 1024;
    const DIRS: [Vector2D<i32>; 4] = [vec2(1, 0), vec2(0, 1), vec2(-1, 0), vec2(0, -1)];
    
    fn adj(
        field: &[[bool; BOUNDS.size.width as usize]],
        v: Point2D<i32>,
    ) -> impl Iterator<Item = Point2D<i32>> + use<'_> {
        DIRS.iter()
            .map(move |&d| v + d)
            .filter(|&next| BOUNDS.contains(next) && !field[next.y as usize][next.x as usize])
    }
    
    fn find_path(field: &[[bool; BOUNDS.size.width as usize]]) -> Option<u32> {
        let mut seen = [[false; BOUNDS.size.width as usize]; BOUNDS.size.height as usize];
        let mut q = VecDeque::from([(START, 0)]);
        seen[START.y as usize][START.x as usize] = true;
        while let Some((v, dist)) = q.pop_front() {
            for w in adj(field, v) {
                if w == TARGET {
                    return Some(dist + 1);
                }
                if !seen[w.y as usize][w.x as usize] {
                    seen[w.y as usize][w.x as usize] = true;
                    q.push_back((w, dist + 1));
                }
            }
        }
        None
    }
    
    fn part1(input: String) {
        let bytes = parse(&input);
        let mut field = [[false; BOUNDS.size.width as usize]; BOUNDS.size.height as usize];
        for b in &bytes[..N_BYTES] {
            field[b.y as usize][b.x as usize] = true;
        }
        println!("{}", find_path(&field).unwrap());
    }
    
    fn part2(input: String) {
        let bytes = parse(&input);
        let mut field = [[false; BOUNDS.size.width as usize]; BOUNDS.size.height as usize];
        for (i, b) in bytes.iter().enumerate() {
            field[b.y as usize][b.x as usize] = true;
            // We already know from part 1 that below N_BYTES there is a path
            if i > N_BYTES && find_path(&field).is_none() {
                println!("{},{}", b.x, b.y);
                break;
            }
        }
    }
    
    util::aoc_main!();
    

    Also on github

  • C#

    Part 1 was straight forward Dykstra with a cost of 1 for each move. Part 2 was a binary search from the number of corrupted bytes given to us for Part 1 (where we know a path can be found) to the total number of corrupted bytes.

    using System.Collections.Immutable;
    using System.Diagnostics;
    using Common;
    
    namespace Day18;
    
    static class Program
    {
        static void Main()
        {
            var start = Stopwatch.GetTimestamp();
    
            var sampleInput = ReceiveInput("sample.txt");
            var sampleBounds = new Point(7,7);
            
            var programInput = ReceiveInput("input.txt");
            var programBounds = new Point(71, 71);
    
            Console.WriteLine($"Part 1 sample: {Part1(sampleInput, 12, sampleBounds)}");
            Console.WriteLine($"Part 1 input: {Part1(programInput, 1024, programBounds)}");
    
            Console.WriteLine($"Part 2 sample: {Part2(sampleInput, 12, sampleBounds)}");
            Console.WriteLine($"Part 2 input: {Part2(programInput, 1024, programBounds)}");
    
            Console.WriteLine($"That took about {Stopwatch.GetElapsedTime(start)}");
        }
    
        static int Part1(ImmutableArray<Point> input, int num, Point bounds) => FindBestPath(
            new Point(0, 0),
            new Point(bounds.Row - 1, bounds.Col - 1),
            input.Take(num).ToImmutableHashSet(),
            bounds);
    
        static object Part2(ImmutableArray<Point> input, int num, Point bounds)
        {
            var start = num;
            var end = input.Length;
            
            while (start != end)
            {
                var check = (start + end) / 2;
                if (Part1(input, check, bounds) < 0) end = check;
                else start = check + 1;
            }
    
            var lastPoint = input[start - 1];
            return $"{lastPoint.Col},{lastPoint.Row}";
        }
    
        record struct State(Point Location, int Steps);
    
        static int FindBestPath(Point start, Point end, ISet<Point> corruptedBytes, Point bounds)
        {
            var seenStates = new Dictionary<Point, int>();
    
            var queue = new Queue<State>();
            queue.Enqueue(new State(start, 0));
            while (queue.TryDequeue(out var state))
            {
                if (state.Location == end) return state.Steps;
                
                if (seenStates.TryGetValue(state.Location, out var bestSteps))
                {
                    if (state.Steps >= bestSteps) continue;
                }
                
                seenStates[state.Location] = state.Steps;
                queue.EnqueueRange(state.Location.GetCardinalMoves()
                    .Where(p => p.IsInBounds(bounds) && !corruptedBytes.Contains(p))
                    .Select(p => new State(p, state.Steps + 1)));
            }
    
            return -1;
        }
    
        static ImmutableArray<Point> ReceiveInput(string file) => File.ReadAllLines(file)
            .Select(l => l.Split(','))
            .Select(p => new Point(int.Parse(p[1]), int.Parse(p[0])))
            .ToImmutableArray();
    }
    
  • C#

    using QuickGraph;
    using QuickGraph.Algorithms.ShortestPath;
    
    namespace aoc24;
    
    public class Day18 : Solver {
      private int width = 71, height = 71, bytes = 1024;
      private HashSet<(int, int)> fallen_bytes;
      private List<(int, int)> fallen_bytes_in_order;
      private record class Edge((int, int) Source, (int, int) Target) : IEdge<(int, int)>;
      private DelegateVertexAndEdgeListGraph<(int, int), Edge> MakeGraph() => new(GetAllVertices(), GetOutEdges);
    
      private readonly (int, int)[] directions = [(-1, 0), (0, 1), (1, 0), (0, -1)];
    
      private bool GetOutEdges((int, int) arg, out IEnumerable<Edge> result_enumerable) {
        List<Edge> result = [];
        foreach (var (dx, dy) in directions) {
          var (nx, ny) = (arg.Item1 + dx, arg.Item2 + dy);
          if (nx < 0 || ny < 0 || nx >= width || ny >= height) continue;
          if (fallen_bytes.Contains((nx, ny))) continue;
          result.Add(new(arg, (nx, ny)));
        }
        result_enumerable = result;
        return true;
      }
    
      private IEnumerable<(int, int)> GetAllVertices() {
        for (int i = 0; i < width; i++) {
          for (int j = 0; j < height; j++) {
            yield return (i, j);
          }
        }
      }
    
      public void Presolve(string input) {
        fallen_bytes_in_order = [..input.Trim().Split("\n")
          .Select(line => line.Split(","))
          .Select(pair => (int.Parse(pair[0]), int.Parse(pair[1])))];
        fallen_bytes = [.. fallen_bytes_in_order.Take(bytes)];
      }
    
      private double Solve() {
        var graph = MakeGraph();
        var search = new AStarShortestPathAlgorithm<(int, int), Edge>(graph, _ => 1, vtx => vtx.Item1 + vtx.Item2);
        search.SetRootVertex((0, 0));
        search.ExamineVertex += vertex => {
          if (vertex.Item1 == width - 1 && vertex.Item2 == width - 1) search.Abort();
        };
        search.Compute();
        return search.Distances[(width - 1, height - 1)];
      }
    
      public string SolveFirst() => Solve().ToString();
    
      public string SolveSecond() {
        foreach (var b in fallen_bytes_in_order[bytes..]) {
          fallen_bytes.Add(b);
          if (Solve() > width*height) return $"{b.Item1},{b.Item2}";
        }
        throw new Exception("solution not found");
      }
    }
    
  • Javascript

    Reused my logic from Day 16. For part two I manually changed the bytes (i on line 271) to narrow in on a solution faster, but this solution should solve it eventually.

    https://blocks.programming.dev/Zikeji/c8fdef54f78c4fb6a79cf1dc5551ff4d

  • Python

    Nobody posted a solution in python for today???

    Here is my solver with a little extra to print the Part 2 path. you can totally remove/comment out the printing out of the part 2 path, but it is neat to look at!

    Execution time: ~25 milliseconds + an unnecessary ~7 ms to print part 2 path

    [ Paste ]

    This is the one where you don't have it print out the Part 2 path and smaller: [ Paste ]

    here is also a faster version that uses binary search instead. but its only a few milliseconds faster.

    Execution time: ~21 milliseconds + an unnecessary ~7 ms to print part 2 path

    [ paste ]

  • C#

    I did flood fill because i normally just do Dijkstra for this kind of stuff. watching the map print as it flooded was cool, had to disable it for part two though as it was too slow. Just let it run while I made a cup of tea instead of doing a binary search.

    spoiler

    namespace AoC2024.Day_18;

    public class Day18 {

    public const string CLEAR = ".";
    public const string BLOCKED = "#";
    public const string TRAVELED = "O";
    
    public void Go()
    {
        var testGrid = GenerateGrid(71, 71);
        PrintGrid(testGrid);
        var coords = GetInputCoordinates(File.ReadAllText("\\AdventOfCode2024\\AoC\\src\\Day_18\\input.txt"));
        
        testGrid = ApplyCoords(testGrid, coords.Take(1024).ToList(), BLOCKED);
        PrintGrid(testGrid);
        FloodFillGrid(testGrid, new Coordinate(0,0), new (70,70));
    }
    
    public void GoPart2()
    {
        var testGrid = GenerateGrid(71, 71);
        PrintGrid(testGrid);
        var coords = GetInputCoordinates(File.ReadAllText("\\AdventOfCode2024\\AoC\\src\\Day_18\\input.txt"));
    
        for (int i = 1; i <= coords.Count; i++)
        {
            testGrid = ApplyCoords(testGrid, coords.Take(i).ToList(), BLOCKED);
            PrintGrid(testGrid);
            var result = FloodFillGrid(testGrid, new Coordinate(0,0), new (70,70));
            if (result.Item2 == int.MaxValue)
            {
                var badCoord = coords[i - 1];
                Console.WriteLine($"!!!!Coord Number: {i} with a value of ({badCoord.Column},{badCoord.Row}) IS A BLOCKER!!!!");
                break;
            }
            else if (i%100 == 0)
            {
                var goodCoord = coords[i - 1];
                Console.WriteLine($"Coord Number: {i} with a value of ({goodCoord.Column},{goodCoord.Row}) allows an exit in {result.Item2} steps");
            }
        }
    }
    
    public List<List<string>> GenerateGrid(int width, int height)
    {
        var grid = new List<List<string>>();
        for (int i = 0; i < height; i++)
        {
            var row = new List<string>();
            for (int j = 0; j < width; j++)
            {
                row.Add(CLEAR);
            }
            grid.Add(row);
        }
    
        return grid;
    }
    
    public void PrintGrid(List<List<string>> grid)
    {
        // foreach (var row in grid)
        // {
        //     foreach (var value in row)
        //     {
        //         Console.Write($" {value} ");
        //     }
        //     Console.WriteLine();
        // }
    }
    
    public List<List<string>> ApplyCoords(List<List<string>> grid, List<Coordinate> coordinates, string value)
    {
        foreach (var coord in coordinates)
        {
            grid[coord.Row][coord.Column] = value;
        }
    
        return grid;
    }
    
    public List<Coordinate> GetInputCoordinates(string input)
    {
        var coords = new List<Coordinate>();
        foreach (var pair in input.Split(Environment.NewLine, StringSplitOptions.RemoveEmptyEntries))
        {
            var values = pair.Split(',', StringSplitOptions.RemoveEmptyEntries);
            coords.Add(new Coordinate(values[1], values[0]));
        }
    
        return coords;
    }
    
    public (List<List<string>>, int) FloodFillGrid(List<List<string>> grid, Coordinate start, Coordinate target)
    {
        var newGrid = grid.Select(list => new List<string>(list)).ToList();
        var previousGrid = grid;
        newGrid[start.Row][start.Column] = TRAVELED;
        int stepCounter = 0;
        while (newGrid[target.Row][target.Column] != TRAVELED)
        {
            bool valueUpdatedInLoop = false;
            previousGrid = newGrid;
            newGrid = newGrid.Select(list => new List<string>(list)).ToList().ToList();
            
            for (var row = 0; row < grid.Count; row++)
            {
                for (var column = 0; column < grid[row].Count; column++)
                {
                    if (previousGrid[row][column] == CLEAR && IsAdjacentEqual(previousGrid, new Coordinate(row,column), TRAVELED))
                    {
                        newGrid[row][column] = TRAVELED;
                        valueUpdatedInLoop = true;
                    }
                }
            }
            stepCounter++;
    
            if (!valueUpdatedInLoop)
            {
                return (newGrid,int.MaxValue);
            }
            
            //Console.WriteLine($"Step counter: {stepCounter}");
            PrintGrid(newGrid);
            
        }
    
        return (newGrid,stepCounter);
    }
    
    private bool IsAdjacentEqual(List<List<string>> grid, Coordinate location, string value)
    {
        if (location.Row < grid.Count-1 && grid[location.Row+1][location.Column] == value)
        {
            return true;
        }
        
        if (location.Column < grid[0].Count-1 && grid[location.Row][location.Column+1] == value)
        {
            return true;
        }
    
        if (location.Row > 0 && grid[location.Row-1][location.Column] == value)
        {
            return true;
        }
        
        if (location.Column > 0 && grid[location.Row][location.Column-1] == value)
        {
            return true;
        }
    
        return false;
    }
    
    public struct Coordinate
    {
        public Coordinate(int row, int column)
        {
            Row = row;
            Column = column;
        }
        
        public Coordinate(string row, string column)
        {
            Row = int.Parse(row);
            Column = int.Parse(column);
        }
        
        public int Row { get; set; }
        public int Column { get; set; }
    }
    

    }

  • C

    Flood fill for part 1. Little tired so for part 2 I just retry the flood fill every step. Slow by C standards (2s) but I'll let it brew and come back to it later.

    Code
    #include "common.h"
    
    #define SAMPLE	0
    #define GZ	(SAMPLE ? 9 : 73)
    #define NCORR	(SAMPLE ? 12 : 1024)
    #define CORR	-1
    
    int g[GZ][GZ];
    
    static void
    flood(void)
    {
    	int x,y, dirty=1, lo;
    
    	for (y=1; y<GZ-1; y++)
    	for (x=1; x<GZ-1; x++)
    		if (g[y][x] > 1)
    			g[y][x] = 0;
    
    	while (dirty) {
    		dirty = 0;
    
    		for (y=1; y<GZ-1; y++)
    		for (x=1; x<GZ-1; x++) {
    			if (g[y][x] == CORR) continue;
    			lo = INT_MAX;
    			if (g[y-1][x] > 0) lo = MIN(lo, g[y-1][x]);
    			if (g[y+1][x] > 0) lo = MIN(lo, g[y+1][x]);
    			if (g[y][x-1] > 0) lo = MIN(lo, g[y][x-1]);
    			if (g[y][x+1] > 0) lo = MIN(lo, g[y][x+1]);
    			if (lo != INT_MAX && (!g[y][x] || g[y][x]>lo+1))
    				{ dirty=1; g[y][x] = lo+1; }
    		}
    	}
    }
    
    int
    main(int argc, char **argv)
    {
    	int p1=0, x,y, i;
    
    	if (argc > 1)
    		DISCARD(freopen(argv[1], "r", stdin));
    
    	for (i=0; i<GZ; i++)
    		g[0][i] = g[GZ-1][i] =
    		g[i][0] = g[i][GZ-1] = CORR;
    	
    	g[1][1] = 1;
    
    	for (i=0; scanf(" %d,%d", &x, &y) == 2; i++) {
    		assert(x >= 0); assert(x < GZ-2);
    		assert(y >= 0); assert(y < GZ-2);
    		g[y+1][x+1] = CORR;
    
    		flood();
    
    		if (i==NCORR-1)
    			p1 = g[GZ-2][GZ-2]-1;
    		if (g[GZ-2][GZ-2] <= 0) {
    			printf("18: %d %d,%d\n", p1, x,y);
    			return 0;
    		}
    	}
    
    	assert(!"no solution");
    	return -1;
    }
    

    https://github.com/sjmulder/aoc/blob/master/2024/c/day18.c

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