Searches for a cycle in a directed graph, and tells you the nodes in the
first cycle it finds. Should work on your existing data structures
without conversion, because it operates on Iterables
and a
getConnectedNodes
adapter function that you provide.
The implementation is a depth-first search using a stack instead of recursion, so it's not limited by the maximum call stack size.
Your environment must support Set
, Map
, and Symbol.iterator
natively or via a polyfill.
Node: 4+
npm install --save find-cycle
const findDirectedCycle = require('find-cycle/directed')
The nodes to start the search from. Your nodes may be of any primitive
or object type besides null
or undefined
.
Given a node in your directed graph, return the nodes connected to it as
an Iterator
or Iterable
. You may return null
or undefined
if
there are no connected nodes.
An array of nodes in the first cycle found, if any, including each node in the cycle only once.
const findCycle = require('find-cycle/directed')
const edges = {
1: [2],
2: [3],
3: [4],
4: [2, 5],
5: [3],
7: [8, 9],
8: [1],
9: [10, 11],
10: [11],
11: [9, 8],
}
const startNodes = [1]
const getConnectedNodes = (node) => edges[node]
expect(findCycle(startNodes, getConnectedNodes)).to.deep.equal([2, 3, 4])
const findCycle = require('find-cycle/directed'
const edges = new Map([
[1, new Set([2])],
[2, new Set([3])],
[3, new Set([4])],
[4, new Set([2, 5])],
[5, new Set([3])],
[7, new Set([8, 9])],
[8, new Set([1])],
[9, new Set([10, 11])],
[10, new Set([11])],
[11, new Set([9, 8])],
])
const startNodes = new Set([1])
const getConnectedNodes = node => edges.get(node)
expect(findCycle(startNodes, getConnectedNodes)).to.deep.equal([2, 3, 4])