229 lines
5.9 KiB
TypeScript
229 lines
5.9 KiB
TypeScript
export default class DepGraph<T> {
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// node: incoming and outgoing edges
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_graph = new Map<T, { incoming: Set<T>; outgoing: Set<T> }>()
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constructor() {
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this._graph = new Map()
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}
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export(): Object {
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return {
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nodes: this.nodes,
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edges: this.edges,
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}
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}
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toString(): string {
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return JSON.stringify(this.export(), null, 2)
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}
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// BASIC GRAPH OPERATIONS
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get nodes(): T[] {
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return Array.from(this._graph.keys())
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}
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get edges(): [T, T][] {
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let edges: [T, T][] = []
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this.forEachEdge((edge) => edges.push(edge))
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return edges
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}
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hasNode(node: T): boolean {
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return this._graph.has(node)
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}
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addNode(node: T): void {
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if (!this._graph.has(node)) {
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this._graph.set(node, { incoming: new Set(), outgoing: new Set() })
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}
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}
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// Remove node and all edges connected to it
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removeNode(node: T): void {
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if (this._graph.has(node)) {
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// first remove all edges so other nodes don't have references to this node
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for (const target of this._graph.get(node)!.outgoing) {
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this.removeEdge(node, target)
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}
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for (const source of this._graph.get(node)!.incoming) {
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this.removeEdge(source, node)
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}
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this._graph.delete(node)
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}
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}
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forEachNode(callback: (node: T) => void): void {
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for (const node of this._graph.keys()) {
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callback(node)
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}
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}
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hasEdge(from: T, to: T): boolean {
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return Boolean(this._graph.get(from)?.outgoing.has(to))
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}
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addEdge(from: T, to: T): void {
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this.addNode(from)
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this.addNode(to)
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this._graph.get(from)!.outgoing.add(to)
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this._graph.get(to)!.incoming.add(from)
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}
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removeEdge(from: T, to: T): void {
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if (this._graph.has(from) && this._graph.has(to)) {
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this._graph.get(from)!.outgoing.delete(to)
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this._graph.get(to)!.incoming.delete(from)
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}
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}
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// returns -1 if node does not exist
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outDegree(node: T): number {
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return this.hasNode(node) ? this._graph.get(node)!.outgoing.size : -1
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}
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// returns -1 if node does not exist
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inDegree(node: T): number {
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return this.hasNode(node) ? this._graph.get(node)!.incoming.size : -1
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}
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forEachOutNeighbor(node: T, callback: (neighbor: T) => void): void {
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this._graph.get(node)?.outgoing.forEach(callback)
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}
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forEachInNeighbor(node: T, callback: (neighbor: T) => void): void {
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this._graph.get(node)?.incoming.forEach(callback)
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}
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forEachEdge(callback: (edge: [T, T]) => void): void {
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for (const [source, { outgoing }] of this._graph.entries()) {
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for (const target of outgoing) {
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callback([source, target])
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}
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}
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}
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// DEPENDENCY ALGORITHMS
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// Add all nodes and edges from other graph to this graph
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mergeGraph(other: DepGraph<T>): void {
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other.forEachEdge(([source, target]) => {
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this.addNode(source)
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this.addNode(target)
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this.addEdge(source, target)
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})
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}
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// For the node provided:
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// If node does not exist, add it
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// If an incoming edge was added in other, it is added in this graph
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// If an incoming edge was deleted in other, it is deleted in this graph
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updateIncomingEdgesForNode(other: DepGraph<T>, node: T): void {
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this.addNode(node)
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// Add edge if it is present in other
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other.forEachInNeighbor(node, (neighbor) => {
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this.addEdge(neighbor, node)
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})
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// For node provided, remove incoming edge if it is absent in other
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this.forEachEdge(([source, target]) => {
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if (target === node && !other.hasEdge(source, target)) {
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this.removeEdge(source, target)
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}
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})
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}
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// Remove all nodes that do not have any incoming or outgoing edges
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// A node may be orphaned if the only node pointing to it was removed
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removeOrphanNodes(): Set<T> {
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let orphanNodes = new Set<T>()
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this.forEachNode((node) => {
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if (this.inDegree(node) === 0 && this.outDegree(node) === 0) {
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orphanNodes.add(node)
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}
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})
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orphanNodes.forEach((node) => {
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this.removeNode(node)
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})
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return orphanNodes
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}
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// Get all leaf nodes (i.e. destination paths) reachable from the node provided
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// Eg. if the graph is A -> B -> C
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// D ---^
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// and the node is B, this function returns [C]
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getLeafNodes(node: T): Set<T> {
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let stack: T[] = [node]
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let visited = new Set<T>()
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let leafNodes = new Set<T>()
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// DFS
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while (stack.length > 0) {
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let node = stack.pop()!
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// If the node is already visited, skip it
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if (visited.has(node)) {
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continue
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}
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visited.add(node)
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// Check if the node is a leaf node (i.e. destination path)
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if (this.outDegree(node) === 0) {
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leafNodes.add(node)
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}
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// Add all unvisited neighbors to the stack
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this.forEachOutNeighbor(node, (neighbor) => {
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if (!visited.has(neighbor)) {
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stack.push(neighbor)
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}
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})
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}
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return leafNodes
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}
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// Get all ancestors of the leaf nodes reachable from the node provided
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// Eg. if the graph is A -> B -> C
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// D ---^
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// and the node is B, this function returns [A, B, D]
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getLeafNodeAncestors(node: T): Set<T> {
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const leafNodes = this.getLeafNodes(node)
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let visited = new Set<T>()
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let upstreamNodes = new Set<T>()
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// Backwards DFS for each leaf node
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leafNodes.forEach((leafNode) => {
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let stack: T[] = [leafNode]
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while (stack.length > 0) {
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let node = stack.pop()!
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if (visited.has(node)) {
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continue
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}
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visited.add(node)
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// Add node if it's not a leaf node (i.e. destination path)
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// Assumes destination file cannot depend on another destination file
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if (this.outDegree(node) !== 0) {
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upstreamNodes.add(node)
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}
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// Add all unvisited parents to the stack
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this.forEachInNeighbor(node, (parentNode) => {
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if (!visited.has(parentNode)) {
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stack.push(parentNode)
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}
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})
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}
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})
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return upstreamNodes
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}
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}
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