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DisjointSetAdhoc.js
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DisjointSetAdhoc.js
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/**
* The minimalistic (ad hoc) version of a DisjointSet (or a UnionFind) data structure
* that doesn't have external dependencies and that is easy to copy-paste and
* use during the coding interview if allowed by the interviewer (since many
* data structures in JS are missing).
*
* Time Complexity:
*
* - Constructor: O(N)
* - Find: O(α(N))
* - Union: O(α(N))
* - Connected: O(α(N))
*
* Where N is the number of vertices in the graph.
* α refers to the Inverse Ackermann function.
* In practice, we assume it's a constant.
* In other words, O(α(N)) is regarded as O(1) on average.
*/
class DisjointSetAdhoc {
/**
* Initializes the set of specified size.
* @param {number} size
*/
constructor(size) {
// The index of a cell is an id of the node in a set.
// The value of a cell is an id (index) of the root node.
// By default, the node is a parent of itself.
this.roots = new Array(size).fill(0).map((_, i) => i);
// Using the heights array to record the height of each node.
// By default each node has a height of 1 because it has no children.
this.heights = new Array(size).fill(1);
}
/**
* Finds the root of node `a`
* @param {number} a
* @returns {number}
*/
find(a) {
if (a === this.roots[a]) return a;
this.roots[a] = this.find(this.roots[a]);
return this.roots[a];
}
/**
* Joins the `a` and `b` nodes into same set.
* @param {number} a
* @param {number} b
* @returns {number}
*/
union(a, b) {
const aRoot = this.find(a);
const bRoot = this.find(b);
if (aRoot === bRoot) return;
if (this.heights[aRoot] > this.heights[bRoot]) {
this.roots[bRoot] = aRoot;
} else if (this.heights[aRoot] < this.heights[bRoot]) {
this.roots[aRoot] = bRoot;
} else {
this.roots[bRoot] = aRoot;
this.heights[aRoot] += 1;
}
}
/**
* Checks if `a` and `b` belong to the same set.
* @param {number} a
* @param {number} b
*/
connected(a, b) {
return this.find(a) === this.find(b);
}
}
export default DisjointSetAdhoc;