fgl-5.4.2.3: Martin Erwig's Functional Graph Library

Data.Graph.Inductive.Basic

Contents

Description

Basic Graph Algorithms

Synopsis

Graph Operations

grev :: DynGraph gr => gr a b -> gr a b

Reverse the direction of all edges.

undir :: (Eq b, DynGraph gr) => gr a b -> gr a b

Make the graph undirected, i.e. for every edge from A to B, there exists an edge from B to A.

unlab :: DynGraph gr => gr a b -> gr () ()

Remove all labels.

gsel :: Graph gr => (Context a b -> Bool) -> gr a b -> [Context a b]

Return all Contexts for which the given function returns True.

gfold

Arguments

:: Graph gr 
=> (Context a b -> [Node])

direction of fold

-> (Context a b -> c -> d)

depth aggregation

-> (Maybe d -> c -> c, c)

breadth/level aggregation

-> [Node] 
-> gr a b 
-> c 

Directed graph fold.

Filter Operations

efilter :: DynGraph gr => (LEdge b -> Bool) -> gr a b -> gr a b

Filter based on edge property.

elfilter :: DynGraph gr => (b -> Bool) -> gr a b -> gr a b

Filter based on edge label property.

Predicates and Classifications

hasLoop :: Graph gr => gr a b -> Bool

True if the graph has any edges of the form (A, A).

isSimple :: Graph gr => gr a b -> Bool

The inverse of hasLoop.

Tree Operations

postorder :: Tree a -> [a]

Flatten a Tree, returning the elements in post-order.

postorderF :: [Tree a] -> [a]

Flatten multiple Trees in post-order.

preorder :: Tree a -> [a]

Flatten a Tree, returning the elements in pre-order. Equivalent to flatten in Data.Tree.

preorderF :: [Tree a] -> [a]

Flatten multiple Trees in pre-order.