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* chore: Switch to Node 20 + Vitest * chore: migrate to vitest mock functions * chore: code style (switch to prettier) * test: re-enable long-running test Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime! see #1193 * chore: code style * chore: fix failing tests * Updated Documentation in README.md * Update contribution guidelines to state usage of Prettier * fix: set prettier printWidth back to 80 * chore: apply updated code style automatically * fix: set prettier line endings to lf again * chore: apply updated code style automatically --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
117 lines
3.0 KiB
JavaScript
117 lines
3.0 KiB
JavaScript
class DisjointSetTreeNode {
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// Disjoint Set Node to store the parent and rank
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constructor(key) {
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this.key = key
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this.parent = this
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this.rank = 0
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}
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}
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class DisjointSetTree {
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// Disjoint Set DataStructure
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constructor() {
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// map to from node name to the node object
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this.map = {}
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}
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makeSet(x) {
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// Function to create a new set with x as its member
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this.map[x] = new DisjointSetTreeNode(x)
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}
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findSet(x) {
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// Function to find the set x belongs to (with path-compression)
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if (this.map[x] !== this.map[x].parent) {
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this.map[x].parent = this.findSet(this.map[x].parent.key)
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}
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return this.map[x].parent
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}
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union(x, y) {
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// Function to merge 2 disjoint sets
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this.link(this.findSet(x), this.findSet(y))
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}
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link(x, y) {
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// Helper function for union operation
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if (x.rank > y.rank) {
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y.parent = x
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} else {
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x.parent = y
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if (x.rank === y.rank) {
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y.rank += 1
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}
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}
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}
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}
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class GraphWeightedUndirectedAdjacencyList {
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// Weighted Undirected Graph class
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constructor() {
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this.connections = {}
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this.nodes = 0
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}
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addNode(node) {
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// Function to add a node to the graph (connection represented by set)
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this.connections[node] = {}
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this.nodes += 1
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}
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addEdge(node1, node2, weight) {
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// Function to add an edge (adds the node too if they are not present in the graph)
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if (!(node1 in this.connections)) {
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this.addNode(node1)
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}
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if (!(node2 in this.connections)) {
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this.addNode(node2)
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}
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this.connections[node1][node2] = weight
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this.connections[node2][node1] = weight
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}
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KruskalMST() {
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// Kruskal's Algorithm to generate a Minimum Spanning Tree (MST) of a graph
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// Details: https://en.wikipedia.org/wiki/Kruskal%27s_algorithm
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// getting the edges in ascending order of weights
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const edges = []
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const seen = new Set()
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for (const start of Object.keys(this.connections)) {
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for (const end of Object.keys(this.connections[start])) {
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if (!seen.has(`${start} ${end}`)) {
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seen.add(`${end} ${start}`)
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edges.push([start, end, this.connections[start][end]])
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}
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}
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}
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edges.sort((a, b) => a[2] - b[2])
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// creating the disjoint set
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const disjointSet = new DisjointSetTree()
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Object.keys(this.connections).forEach((node) => disjointSet.makeSet(node))
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// MST generation
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const graph = new GraphWeightedUndirectedAdjacencyList()
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let numEdges = 0
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let index = 0
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while (numEdges < this.nodes - 1) {
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const [u, v, w] = edges[index]
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index += 1
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if (disjointSet.findSet(u) !== disjointSet.findSet(v)) {
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numEdges += 1
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graph.addEdge(u, v, w)
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disjointSet.union(u, v)
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}
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}
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return graph
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}
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}
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export { GraphWeightedUndirectedAdjacencyList }
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// const graph = new GraphWeightedUndirectedAdjacencyList()
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// graph.addEdge(1, 2, 1)
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// graph.addEdge(2, 3, 2)
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// graph.addEdge(3, 4, 1)
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// graph.addEdge(3, 5, 100) // Removed in MST
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// graph.addEdge(4, 5, 5)
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// graph.KruskalMST()
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