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WIP: BfsSearch
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src/Graph.hs
39
src/Graph.hs
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@ -1,3 +1,7 @@
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{-# LANGUAGE TupleSections #-}
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{-# OPTIONS_GHC -Wno-unrecognised-pragmas #-}
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{-# HLINT ignore "Use map once" #-}
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module Graph
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( DiGraph,
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hasNode,
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@ -15,6 +19,8 @@ module Graph
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where
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import qualified Data.AssocMap as M
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import Data.Bifunctor (second)
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import Data.Function ((&))
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import qualified Data.List as L
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type DiGraph a = M.AssocMap a [a]
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@ -57,3 +63,36 @@ deleteEdge (node, child) = M.alter aux node
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deleteEdges :: (Eq a) => [(a, a)] -> DiGraph a -> DiGraph a
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deleteEdges edges graph = foldr deleteEdge graph edges
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addMultiplePredecessors :: (Eq a) => [(a, [a])] -> DiGraph a -> DiGraph a
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addMultiplePredecessors [] graph = graph
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addMultiplePredecessors ((node, childs) : xs) graph =
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let edges = L.map (,node) childs
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in addMultiplePredecessors xs (addEdges edges graph)
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type SearchState a = ([a], DiGraph a, DiGraph a)
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data SearchResult a = Unsuccessful | Success (DiGraph a)
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bfsSearch :: (Eq a) => DiGraph a -> a -> a -> Maybe [a]
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bfsSearch graph start end
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| start == end = Just [start]
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| otherwise = case bfsSearch' ([start], graph, empty) of
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Unsuccessful -> Nothing
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Success preds -> Just (findSolution preds)
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bfsSearch' :: (Eq a) => SearchState a -> SearchResult a
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bfsSearch' (frontier, graph, preds) =
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let -- Create a new graph with the frontier nodes removed
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newGraph = deleteNodes frontier graph
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neighboursMap =
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-- Associate each node to its neighbours
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L.map (\node -> (node, children node graph)) frontier
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-- Filter the neighbours that are not present on the new graph (does not contain frontier)
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& L.map (second $ L.filter (`M.member` newGraph))
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predecessors = addPredecessors preds neighboursMap
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in Unsuccessful
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findSolution :: DiGraph a -> [a]
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findSolution _graph = []
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