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47 changes: 47 additions & 0 deletions Graphs/TopoSortIterative.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,47 @@
import Queue from '../Data-Structures/Queue/Queue'
/**
* @author {RaviSadam}
* @name TopoSortIterative
* @description -
* Topological sorting algorithm implementation in JavaScript(Khan's Algorithm)
* @summary
* Topological sorting for Directed Acyclic Graph is a linear ordering of vertices
* such that for every directed edge u-v, vertex u comes before v in the ordering.
*
* @param graph - Graph (adjacency list)
* @returns {Array} - Gives null if graph has cycle otherwise result array
*
*/

export function TopoSortIterative(graph) {
const n = graph.length
const inDegree = Array(n).fill(0)
const queue = new Queue()
const result = Array(n).fill(0)
let index = 0

for (const neighbors of graph) {
for (const neighbor of neighbors) {
inDegree[neighbor]++
}
}

for (let i = 0; i < n; i++) {
if (inDegree[i] === 0) {
queue.enqueue(i)
}
}
while (queue.length !== 0) {
const node = queue.dequeue()
result[index] = node
index++
for (let neighbor of graph[node]) {
inDegree[neighbor]--
if (inDegree[neighbor] === 0) {
queue.enqueue(neighbor)
}
}
}
if (index !== n) return null
return result
}
50 changes: 50 additions & 0 deletions Graphs/TopoSortRecursive.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,50 @@
function TopoSort(graph) {
const n = graph.length
const result = []
const path = Array(n).fill(0)
const visited = Array(n).fill(0)
function preorder(vertex) {
visited[vertex] = 1
path[vertex] = 1
for (const neighbor of graph[vertex]) {
if (visited[neighbor] === 0) {
preorder(neighbor)
} else if (path[neighbor] === 1) {
throw new Error('Graph contsins a cycle')
}
}
path[vertex] = 0
result.push(vertex)
}
return function () {
for (let i = 0; i < n; i++) {
if (visited[i] === 0) {
try {
preorder(i)
} catch (err) {
console.log(err)
return null
}
}
}
return result.reverse()
}
}
/**
*
* @author {RaviSadam}
* @name TopoSortRecursive
* @description -
* Topological sorting algorithm implementation in JavaScript
* @summary
* Topological sorting for Directed Acyclic Graph is a linear ordering of vertices
* such that for every directed edge u-v, vertex u comes before v in the ordering.
*
* @param graph - Graph (adjacency list)
* @returns {Array} - Gives null if graph has cycle otherwise result array
*
*/
export function TopoSortRecursive(graph) {
const topoSort = TopoSort(graph)
return topoSort()
}
14 changes: 14 additions & 0 deletions Graphs/test/TopoSortIterative.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
import { TopoSortIterative } from '../TopoSortIterative'

describe('Iterative Topological Sorting', () => {
test('Graph without cycle', () => {
const graph = [[], [], [3], [1], [0, 1], [0, 2]]

expect(TopoSortIterative(graph, 6)).toEqual([4, 5, 0, 2, 3, 1])
})
test('Graph with cycle', () => {
const graph = [[2], [], [3, 5], [0, 1], [0, 2]]

expect(TopoSortIterative(graph, 6)).toBe(null)
})
})
18 changes: 18 additions & 0 deletions Graphs/test/TopoSortRecursive.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,18 @@
import { TopoSortRecursive } from '../TopoSortRecursive'

describe('Recursive Topological Sorting', () => {
test('Graph without cycle', () => {
const graph = [[], [], [3], [1], [0, 1], [0, 2]]

expect(TopoSortRecursive(graph, 6)).toEqual([5, 4, 2, 3, 1, 0])
})
test('Graph with cycle', () => {
const graph = [[2], [], [3, 5], [0, 1], [0, 2]]

expect(TopoSortRecursive(graph, 6)).toBe(null)
})
test('Graph with disconnected components', () => {
const graph = [[1, 2], [3], [3], [], [5], []]
expect(TopoSortRecursive(graph, 6)).toEqual([4, 5, 0, 2, 1, 3])
})
})
63 changes: 0 additions & 63 deletions Sorts/TopologicalSort.js

This file was deleted.