147 lines
5.9 KiB
Haskell
147 lines
5.9 KiB
Haskell
--{-# LANGUAGE TupleSections #-}
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module Dodge.Path
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( pointTowardsImpulse
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, makePathBetween
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, makePathBetweenPs
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-- , removePathsCrossing
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, obstructPathsCrossing
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, pairsToGraph
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, getNodePos
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, walkableNodeNear
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) where
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import Dodge.Data
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import Dodge.Base.Collide
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import Dodge.Zone
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import Geometry.Data
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import Geometry
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import Control.Lens
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import Data.Maybe
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import Data.List
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--import qualified Data.IntMap.Strict as IM
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import Data.Graph.Inductive hiding ((&))
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import qualified Data.Set as Set
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import qualified Data.Map.Strict as M
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import Data.Map.Strict (Map)
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import StreamingHelp
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import qualified Streaming.Prelude as S
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--import Data.Graph.Inductive.PatriciaTree
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--import Data.Graph.Inductive.Graph hiding ((&))
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getNodePos :: Int -> World -> Maybe Point2
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getNodePos i w = _pathGraph w `lab` i
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makePathBetween :: Point2 -> Point2 -> World -> Maybe [Int]
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makePathBetween a b w = do -- join $ sp <$> a' <*> b' <*> return (_pathGraph w)
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na <- walkableNodeNear w a
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nb <- walkableNodeNear w b
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sp na nb (second _peDist (_pathGraph w))
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where
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--nodesNear p = concat $ lookLookups (zoneNearPointIP p) (_pathPoints w)
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-- nodesNear p = runIdentity . S.toList_ $ nearPoint _pnZoning p w
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-- walkableNodeNear p = fmap fst . find (flip (isWalkable p) w . snd) $ nodesNear p
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walkableNodeNear :: World -> Point2 -> Maybe Int
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{-# INLINE walkableNodeNear #-}
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walkableNodeNear w p = fmap fst . find (flip (isWalkable p) w . snd) $ nodesNear
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where
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--nodesNear = runIdentity . S.toList_ $ nearPoint _pnZoning p w
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nodesNear = runIdentity . S.toList_ $ aroundPoint _pnZoning p w
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makePathBetweenPs :: Point2 -> Point2 -> World -> Maybe [Point2]
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makePathBetweenPs a b w = mapMaybe (lab $ _pathGraph w) <$> makePathBetween a b w
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pointTowardsImpulse :: Point2 -> Point2 -> World -> Maybe Point2
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pointTowardsImpulse a b w = find (flip (isWalkable a) w) =<< makePathBetweenPs a b w
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------ continues a walk from a list of points, without repetitions
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------ supposes that the list is non-empty
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--randomGraphWalk :: RandomGen g => [Int] -> Gr a b -> State g [Int]
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--randomGraphWalk (n:ns) g = do
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-- next' <- randomGraphStepRestricted n ns g
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-- case next' of
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-- Nothing -> return (n:ns)
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-- Just n' -> randomGraphWalk (n':n:ns) g
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--randomGraphWalk _ _ = error "Trying to walk in an empty list"
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--
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--randomPointXStepsFrom :: Int -> Point2 -> World -> Point2
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--randomPointXStepsFrom i p w =
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-- let g = _pathGraph w
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-- ns = labNodes g
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-- mp = listToMaybe $ sortBy (compare `on` dist p . snd) $ filter (flip (isWalkable p) w . snd) ns
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-- in case mp of
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-- Nothing -> p
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-- Just (n,_) -> fromJust
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-- $ lab g (last $ take i $ randomGraphWalk [n] g Data.Function.& evalState $ _randGen w)
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--
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--randomPointsXStepsFrom :: Int -> Point2 -> World -> [Point2]
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--randomPointsXStepsFrom i p w =
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-- let g = _pathGraph w
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-- ns = labNodes g
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-- mp = listToMaybe $ sortBy (compare `on` dist p . snd) $ filter (flip (isWalkable p) w . snd) ns
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-- in case mp of
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-- Nothing -> [p]
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-- Just (n,_) -> mapMaybe (lab g) (take i $ randomGraphWalk [n] g Data.Function.& evalState $ _randGen w)
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--
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--randomGraphStep :: RandomGen g => Int -> Gr a b -> State g (Maybe Int)
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--randomGraphStep n g =
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-- do let ns = neighbors g n
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-- i <- state $ randomR (0,length ns - 1)
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-- case ns of [] -> return Nothing
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-- _ -> return $ Just $ ns !! i
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--randomGraphStepRestricted :: RandomGen g => Int -> [Int] -> Gr a b -> State g (Maybe Int)
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--randomGraphStepRestricted n notns g = do
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-- let ns = neighbors g n \\ notns
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-- i <- state $ randomR (0,length ns - 1)
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-- case ns of
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-- [] -> return Nothing
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-- _ -> return $ Just $ ns !! i
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--
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pairsToGraph :: Set.Set (Point2,Point2) -> (Map (V2 Point2) (Int,Int,PathEdge),Gr Point2 PathEdge)
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pairsToGraph pairs = addEdges nodemap gr $ S.each pairs
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where
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(nodemap,_,gr) = addNodes $ S.map fst (S.each pairs) <> S.map snd (S.each pairs)
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-- let nodes' = Set.map fst pairs `Set.union` Set.map snd pairs
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-- pairs' = Set.map (\(x,y)->(x,y,f x y)) pairs
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-- in undir $ run_ Data.Graph.Inductive.empty $ insMapNodesM (Set.toList nodes') >> insMapEdgesM (Set.toList pairs')
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addNodes :: StreamOf Point2 -> (Map Point2 Int,Int,Gr Point2 PathEdge)
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addNodes = runIdentity . S.fold_ f (mempty,0,Data.Graph.Inductive.empty) id
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where
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f (nodemap,i,gr) p = case nodemap M.!? p of
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Just _ -> (nodemap,i,gr)
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Nothing -> (nodemap & at p ?~i ,i+1, insNode (i,p) gr)
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addEdges :: Map Point2 Int -> Gr Point2 PathEdge -> StreamOf (Point2,Point2)
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-> (Map (V2 Point2) (Int,Int,PathEdge) , Gr Point2 PathEdge)
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addEdges nodemap gr = runIdentity . S.fold_ f (mempty,gr) id
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where
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f (edgemap,gr') (a,b) = (M.insert (V2 a b) theedge edgemap
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, insEdge theedge gr'
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)
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where
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theedge = (g a,g b,PathEdge a b (dist a b) mempty)
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g a = nodemap M.! a
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obstructPathsCrossing :: Point2 -> Point2 -> World -> ( World, [(Int,Int,PathEdge)])
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obstructPathsCrossing sp ep w =
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( w & pathGraph %~ updateedges
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, runIdentity $ S.toList_ edges
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)
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where
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edges = S.filter edgecrosses $ nearSeg _peZoning sp ep w
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edgecrosses (_,_,pe) = isJust $ intersectSegSeg sp ep (_peStart pe) (_peEnd pe)
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updateedges gr = runIdentity $ S.fold_ updateedge gr id edges
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updateedge gr (x,y,pe)
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= insEdge (x,y,pe & peObstacles . at BlockObstacle .~ Just ()) $ delEdge (x,y) gr
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removePathsCrossing :: Point2 -> Point2 -> World -> World
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removePathsCrossing a b w = w
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-- & pathGraph .~ newGraph
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-- & pathGraphP .~ pg'
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-- & phZoning %~ \zn -> foldl' (flip $ updateZoning (:)) (zn & znObjects .~ mempty)
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-- (labNodes newGraph)
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-- where
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-- pg' = Set.filter (isNothing . uncurry (intersectSegSeg a b)) $ _pathGraphP w
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-- -- insertPoint pp@(_,p) = insertInZoneWith (wlZoneOfPoint p) (++) [pp]
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-- newGraph = pairsToGraph pg'
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