196 lines
6.0 KiB
Haskell
196 lines
6.0 KiB
Haskell
{-
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Helpers for the manipulation of rose trees.
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Throughout, the _trunk_ refers to successive first children in the tree.
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For example, in the tree
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> Node a [ Node b [], Node c [Node d []] ]
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the nodes in the trunk are [a,b].
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Partial functions are annotated as such.
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-}
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module TreeHelp (
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module Data.Tree,
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module Data.Tree.Lens,
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applyToSubtree,
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applyToSubforest,
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treeFromPost,
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treePost,
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treeFromTrunk,
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splitTrunk,
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applyToRandomNode,
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addToTrunk,
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inorderNumberTree,
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updateSingleNodes,
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updateAllNodes,
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updateRandNode,
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safeUpdateSingleNode,
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numTraversable,
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treeAttachDeep,
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) where
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import Control.Lens
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import Data.Maybe
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import Data.Traversable
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import Data.Tree
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import Data.Tree.Lens
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import RandomHelp
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-- | Creates a linear tree.
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treeFromPost :: [a] -> a -> Tree a
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treeFromPost xs = treeFromTrunk xs . pure
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{- | Creates a linear tree from a list.
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Partial function.
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-}
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treePost :: [a] -> Tree a
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treePost xs = treeFromPost (init xs) (last xs)
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{- | Creates a tree with one trunk branch,
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input as a list, that ends in another tree.
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-}
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treeFromTrunk ::
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-- | The trunk
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[a] ->
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-- | The end of the tree
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Tree a ->
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Tree a
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treeFromTrunk = flip $ foldr f
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where
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f x t = Node x [t]
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{- | Applies a function to a specific node determined by a list of indices.
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Partial.
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-}
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applyToNode :: [Int] -> (a -> a) -> Tree a -> Tree a
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applyToNode is = applyToSubtree is . over root
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{- | Applies a function to a specific subtree determined by a list of indices.
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Partial.
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-}
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applyToSubtree :: [Int] -> (Tree a -> Tree a) -> Tree a -> Tree a
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applyToSubtree [] f t = f t
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applyToSubtree (i : is) f (Node x xs) = Node x (xs & ix i %~ applyToSubtree is f)
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{- | Applies a function to a specific subforest determined by a list of indices.
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Partial.
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-}
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applyToSubforest :: [Int] -> ([Tree a] -> [Tree a]) -> Tree a -> Tree a
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applyToSubforest is = applyToSubtree is . over branches
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{- | Transforms a tree everywhere a property is satisfied.
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Can perform multiple transformations in different branches.
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However, does not perform any further transformation within a transformed subtree.
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Thus this always terminate on finite trees.
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-}
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updateAllNodes :: (a -> Bool) -> (Tree a -> Tree a) -> Tree a -> Tree a
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updateAllNodes f update t@(Node x ts)
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| f x = update t
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| otherwise = updateChildren
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where
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updateChildren = Node x (map (updateAllNodes f update) ts)
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{- | For each node within the input tree that satisfies a property,
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produce a tree with the subtree starting at that node transformed by a function.
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Produces an empty list if no nodes satisfy the property.
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Depth first.
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-}
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updateSingleNodes :: (a -> Bool) -> (Tree a -> Tree a) -> Tree a -> [Tree a]
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updateSingleNodes f update t@(Node x ts)
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| f x = update t : updateChildren
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| otherwise = updateChildren
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where
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updateChildren = map (Node x) (subMap (updateSingleNodes f update) ts)
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{- | Chooses a random node that satisfies a property,
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produces a tree with the subtree starting at that node transformed by a function.
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Partial, undefined if no node satisfies the property.
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-}
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updateRandNode :: RandomGen g => (a -> Bool) -> (Tree a -> Tree a) -> Tree a -> State g (Tree a)
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updateRandNode t f = takeOne . updateSingleNodes t f
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{- | Finds the (depth) first node that satisfies a property,
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produces a tree with the subtree starting at that node transformed by a function.
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Produces the original tree if no nodes satisfy the property.
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-}
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safeUpdateSingleNode :: (a -> Bool) -> (Tree a -> Tree a) -> Tree a -> Tree a
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safeUpdateSingleNode f g t = fromMaybe t $ listToMaybe $ updateSingleNodes f g t
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subMap :: (a -> [a]) -> [a] -> [[a]]
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subMap f (x : xs) = (f x <&> (: xs)) ++ ((x :) <$> subMap f xs)
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subMap _ [] = []
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-- find use for?
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--zipTree :: Tree a -> Tree b -> Tree (a,b)
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--zipTree (Node x xs) (Node y ys) = Node (x,y) $ zipWith zipTree xs ys
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{- | Makes each node into its child number, i.e. the index it has
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in the list of children of its parent.
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-}
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treeChildNums :: Tree a -> Tree Int
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treeChildNums = setRoot 0
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where
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setRoot :: Int -> Tree a -> Tree Int
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setRoot i (Node _ xs) = Node i (zipWith setRoot [0 ..] xs)
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{- | Makes each node into its path, i.e. the list of indices that,
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when followed from the root, lead to the node.
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-}
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treePaths :: Tree a -> Tree [a]
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treePaths (Node x xs) = (x :) <$> Node [] (map treePaths xs)
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{- | Picks a random path in the tree.
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Uniform probability that the path leads to any specific node.
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-}
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randomPath :: RandomGen g => Tree a -> State g [Int]
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randomPath = takeOne . flatten . treePaths . treeChildNums
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{- | Apply a function to the value of a node;
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the node is picked uniformly at random.
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-}
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applyToRandomNode :: RandomGen g => (a -> a) -> Tree a -> State g (Tree a)
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applyToRandomNode f t = do
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p <- randomPath t
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return $ applyToNode p f t
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-- | Add a forest to the end of a tree (along the trunk).
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addToTrunk :: Tree a -> [Tree a] -> Tree a
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addToTrunk (Node x []) f = Node x f
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addToTrunk (Node x (t : ts)) f = Node x (addToTrunk t f : ts)
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-- | Find the depth of a tree along the trunk.
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trunkDepth :: Tree a -> Int
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trunkDepth (Node _ []) = 0
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trunkDepth (Node _ (x : _)) = trunkDepth x + 1
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-- | Split a tree at a given point along its trunk.
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splitTrunkAt ::
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-- | Split depth
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Int ->
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Tree a ->
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(Tree a, [Tree a])
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splitTrunkAt 0 (Node x xs) = (Node x [], xs)
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splitTrunkAt i (Node y (x : xs)) =
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let (t, ts) = splitTrunkAt (i -1) x
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in (Node y (t : xs), ts)
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splitTrunkAt _ (Node _ []) = error "Trying to split to short a trunk"
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-- | Split a tree at a random point along its trunk.
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splitTrunk :: RandomGen g => Tree a -> State g (Tree a, [Tree a])
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splitTrunk t = do
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i <- state $ randomR (0, trunkDepth t)
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return $ splitTrunkAt i t
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numTraversable :: Traversable t => t a -> t (a, Int)
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numTraversable = snd . mapAccumL f 0
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where
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f i x = (i + 1, (x, i))
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-- untested
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inorderNumberTree :: Tree a -> Tree (a, Int)
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inorderNumberTree = numTraversable
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treeAttachDeep :: Tree a -> Tree a -> Tree a
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treeAttachDeep t (Node y (z:zs)) = Node y (treeAttachDeep t z:zs)
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treeAttachDeep t (Node y []) = Node y [t]
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