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Layering of intransitive DAGs
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src/Data/Graph/Inductive/Query/Layer.hs
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src/Data/Graph/Inductive/Query/Layer.hs
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{- This file is part of Vervis.
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-
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- Written in 2016 by fr33domlover <fr33domlover@riseup.net>.
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-
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- ♡ Copying is an act of love. Please copy, reuse and share.
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-
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- The author(s) have dedicated all copyright and related and neighboring
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- rights to this software to the public domain worldwide. This software is
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- distributed without any warranty.
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-
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- You should have received a copy of the CC0 Public Domain Dedication along
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- with this software. If not, see
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- <http://creativecommons.org/publicdomain/zero/1.0/>.
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-}
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-- | Layering of directed acyclic graphs
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module Data.Graph.Inductive.Query.Layer
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( -- * Intro
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-- $into
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-- * Forward Layer
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-- $forward
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layer
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, layern
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, layerWith
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, layernWith
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-- * Backward Layer
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-- $backward
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, rlayer
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, rlayern
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, rlayerWith
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, rlayernWith
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-- * Custom Layer
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-- $custom
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, xlayern
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, xlayernWith
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)
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where
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import Prelude
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import Data.Graph.Inductive.Basic (gsel)
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import Data.Graph.Inductive.Graph
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import Data.Graph.Inductive.Internal.Queue
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import Data.List (sortOn)
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import qualified Data.HashMap.Lazy as M
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import qualified Data.HashMap.Lazy.Local as ML
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noIn :: Graph g => g a b -> [Node]
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noIn = map node' . gsel (null . pre')
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noOut :: Graph g => g a b -> [Node]
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noOut = map node' . gsel (null . suc')
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-- $intro
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-- Layering a directed acyclic graph basically means to partition its nodes
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-- such that all the edges point in the same direction. Layering is often used
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-- for graph visualization, an therefore requires that the result has certain
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-- human-friendly properties.
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--
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-- This module currently offers a very simple algorithm meant for DAGs that are
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-- transitively reduced, i.e. if edges AB and BC exist, an edge AC shouldn't
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-- exist in the graph. In other words, assuming the edges represent partial
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-- ordering of the nodes, no edge should be possible to deduce from other
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-- edges.
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-- $forward
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-- Forward layering starts from a set of nodes, usually the nodes which don't
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-- have in-edges, and builds the layers by traversing the out-edges
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-- recursively. The initial nodes are the first layer, their children are the
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-- second layer, the children's children are the third layer, and so on.
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-- | The initial nodes are the nodes which don't have in-edges.
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layer :: Graph g => g a b -> [[Node]]
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layer = layerWith node'
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-- | Specify the initial nodes.
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layern :: Graph g => [Node] -> g a b -> [[Node]]
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layern = layernWith node'
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-- | Specify function to apply to nodes whose result will be in the result
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-- list. The initial nodes are the nodes which don't have in-edges.
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layerWith :: Graph g => (Context a b -> c) -> g a b -> [[c]]
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layerWith result graph = layernWith result (noIn graph) graph
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-- | Specify function to apply to nodes whose result will be in the result
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-- list, and specify initial nodes.
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layernWith :: Graph g => (Context a b -> c) -> [Node] -> g a b -> [[c]]
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layernWith = xlayernWith suc' (not . null . pre')
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-- $backward
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-- Backward layering starts from a set of nodes, usually the nodes which don't
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-- have out-edges, and builds the layers by traversing the in-edges
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-- recursively. The initial nodes are the first layer, their parents are the
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-- second layer, the parents' parents are the third layer, and so on.
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-- | The initial nodes are the nodes which don't have out-edges.
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rlayer :: Graph g => g a b -> [[Node]]
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rlayer = rlayerWith node'
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-- | Specify the initial nodes.
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rlayern :: Graph g => [Node] -> g a b -> [[Node]]
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rlayern = rlayernWith node'
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-- | Specify function to apply to nodes whose result will be in the result
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-- list. The initial nodes are the nodes which don't have out-edges.
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rlayerWith :: Graph g => (Context a b -> c) -> g a b -> [[c]]
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rlayerWith result graph = rlayernWith result (noOut graph) graph
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-- | Specify function to apply to nodes whose result will be in the result
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-- list, and specify initial nodes.
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rlayernWith :: Graph g => (Context a b -> c) -> [Node] -> g a b -> [[c]]
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rlayernWith = xlayernWith pre' (not . null . suc')
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-- $custom
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-- Custom layering starts from a set of nodes, and builds the layers by
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-- traversing edges recursively. A user-specified function determines which
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-- edges are traversed, and another functions is used for checking whether
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-- there are edges through which a given node can be reached. For example, if
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-- you follow just out-edges that point from red-colored nodes, the second
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-- function would check whether the given nodes has red-colored nodes pointing
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-- to it. The initial nodes are the first layer, the nodes reached from them
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-- are the second layer and so on.
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-- | Specify which paths to follow, and the initial nodes.
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xlayern
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:: Graph g
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=> (Context a b -> [Node])
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-> (Context a b -> Bool)
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-> [Node]
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-> g a b
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-> [[Node]]
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xlayern follow back = xlayernWith follow back node'
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-- (1) All nodes have unspecified layer
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-- (2) Mark all child-less nodes with layer 1 and place in a queue
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-- (3) Dequeue a node N and remove N from the graph
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-- (4) For each parent of N, P:
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-- (5) layer(P) = max (layer(P), layer(N)+1)
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-- (6) If N was P's only child, enqueue P
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-- (7) Jump back to 3
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depths
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:: Graph g
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=> (Context a b -> [Node])
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-> (Context a b -> Bool)
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-> g a b
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-> Queue Node
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-> M.HashMap Node Int
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-> M.HashMap Node Int
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depths follow back = go
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where
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depth n m =
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case M.lookup n m of
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Nothing -> error "Layer of node not found, should never happen"
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Just d -> d
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visit g l p (m, q) =
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( case M.lookup p m of
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Nothing -> M.insert p l m
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Just d ->
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if l > d
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then M.insert p l m
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else m
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, if back $ context g p
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then q
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else queuePut p q
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)
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go g q m =
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if queueEmpty q
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then m
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else
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let (n, q') = queueGet q
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in case match n g of
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(Nothing, g') -> go g' q' m
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(Just c, g') ->
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let ps = follow c
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l = depth n m + 1
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(m', q'') = foldr (visit g' l) (m, q') ps
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in go g' q'' m'
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-- | Specify which paths to follow, a function to apply to nodes whose result
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-- will be in the result list, and the initial nodes.
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xlayernWith
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:: Graph g
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=> (Context a b -> [Node])
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-> (Context a b -> Bool)
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-> (Context a b -> c)
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-> [Node]
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-> g a b
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-> [[c]]
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xlayernWith follow back result initials graph =
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-- Sort by layer number and drop the layer numbers, leaving just nodes
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map snd $ sortOn fst $ M.toList $
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-- Map nodes to results according to user specified function
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M.map (map $ result . context graph) $
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-- Turn node-to-layer map into layer-to-nodes map
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ML.flip $
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-- Determine the layer number for each node
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depths
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follow
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back
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graph
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(queuePutList initials mkQueue)
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(M.fromList $ zip initials (repeat 1))
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32
src/Data/HashMap/Lazy/Local.hs
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32
src/Data/HashMap/Lazy/Local.hs
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@ -0,0 +1,32 @@
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{- This file is part of Vervis.
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-
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- Written in 2016 by fr33domlover <fr33domlover@riseup.net>.
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-
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- ♡ Copying is an act of love. Please copy, reuse and share.
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-
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- The author(s) have dedicated all copyright and related and neighboring
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- rights to this software to the public domain worldwide. This software is
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- distributed without any warranty.
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-
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- You should have received a copy of the CC0 Public Domain Dedication along
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- with this software. If not, see
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- <http://creativecommons.org/publicdomain/zero/1.0/>.
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-}
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module Data.HashMap.Lazy.Local
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( flip
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)
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where
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import Prelude hiding (flip)
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import Data.Hashable (Hashable)
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import qualified Data.HashMap.Lazy as M
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-- | Build a 'M.HashMap' which maps each value in the original HashMap to the
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-- keys under which it appears there.
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flip :: (Eq b, Hashable b) => M.HashMap a b -> M.HashMap b [a]
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flip = M.foldrWithKey collect M.empty
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where
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collect k v = M.insertWith (\ _new old -> k : old) v [k]
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@ -53,6 +53,8 @@ library
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Data.EventTime.Local
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Data.EventTime.Local
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Data.Functor.Local
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Data.Functor.Local
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Data.Git.Local
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Data.Git.Local
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Data.Graph.Inductive.Query.Layer
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Data.HashMap.Lazy.Local
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Data.Hourglass.Local
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Data.Hourglass.Local
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Data.List.Local
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Data.List.Local
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Data.Paginate.Local
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Data.Paginate.Local
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