Number of Islands II
<p>You are given an empty 2D binary grid <code>grid</code> of size <code>m x n</code>. The grid represents a map where <code>0</code>&#39;s represent water and <code>1</code>&#39;s represent land. Initially, all the cells of <code>grid</code> are water cells (i.e., all the cells are <code>0</code>&#39;s).</p>

<p>We may perform an add land operation which turns the water at position into a land. You are given an array <code>positions</code> where <code>positions[i] = [r<sub>i</sub>, c<sub>i</sub>]</code> is the position <code>(r<sub>i</sub>, c<sub>i</sub>)</code> at which we should operate the <code>i<sup>th</sup></code> operation.</p>

<p>Return <em>an array of integers</em> <code>answer</code> <em>where</em> <code>answer[i]</code> <em>is the number of islands after turning the cell</em> <code>(r<sub>i</sub>, c<sub>i</sub>)</code> <em>into a land</em>.</p>

<p>An <strong>island</strong> is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://fastly.jsdelivr.net/gh/doocs/leetcode@main/solution/0300-0399/0305.Number%20of%20Islands%20II/images/tmp-grid.jpg" style="width: 500px; height: 294px;" />
<pre>
<strong>Input:</strong> m = 3, n = 3, positions = [[0,0],[0,1],[1,2],[2,1]]
<strong>Output:</strong> [1,1,2,3]
<strong>Explanation:</strong>
Initially, the 2d grid is filled with water.
- Operation #1: addLand(0, 0) turns the water at grid[0][0] into a land. We have 1 island.
- Operation #2: addLand(0, 1) turns the water at grid[0][1] into a land. We still have 1 island.
- Operation #3: addLand(1, 2) turns the water at grid[1][2] into a land. We have 2 islands.
- Operation #4: addLand(2, 1) turns the water at grid[2][1] into a land. We have 3 islands.
</pre>

<p><strong class="example">Example 2:</strong></p>

<pre>
<strong>Input:</strong> m = 1, n = 1, positions = [[0,0]]
<strong>Output:</strong> [1]
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>1 &lt;= m, n, positions.length &lt;= 10<sup>4</sup></code></li>
	<li><code>1 &lt;= m * n &lt;= 10<sup>4</sup></code></li>
	<li><code>positions[i].length == 2</code></li>
	<li><code>0 &lt;= r<sub>i</sub> &lt; m</code></li>
	<li><code>0 &lt;= c<sub>i</sub> &lt; n</code></li>
</ul>

<p>&nbsp;</p>
<p><strong>Follow up:</strong> Could you solve it in time complexity <code>O(k log(mn))</code>, where <code>k == positions.length</code>?</p>
Union Find; Array; Hash Table
class UnionFind {
    p: number[];
    size: number[];
    constructor(n: number) {
        this.p = Array(n)
            .fill(0)
            .map((_, i) => i);
        this.size = Array(n).fill(1);
    }

    find(x: number): number {
        if (this.p[x] !== x) {
            this.p[x] = this.find(this.p[x]);
        }
        return this.p[x];
    }

    union(a: number, b: number): boolean {
        const [pa, pb] = [this.find(a), this.find(b)];
        if (pa === pb) {
            return false;
        }
        if (this.size[pa] > this.size[pb]) {
            this.p[pb] = pa;
            this.size[pa] += this.size[pb];
        } else {
            this.p[pa] = pb;
            this.size[pb] += this.size[pa];
        }
        return true;
    }
}

function numIslands2(m: number, n: number, positions: number[][]): number[] {
    const grid: number[][] = Array.from({ length: m }, () => Array(n).fill(0));
    const uf = new UnionFind(m * n);
    const ans: number[] = [];
    const dirs: number[] = [-1, 0, 1, 0, -1];
    let cnt = 0;
    for (const [i, j] of positions) {
        if (grid[i][j]) {
            ans.push(cnt);
            continue;
        }
        grid[i][j] = 1;
        ++cnt;
        for (let k = 0; k < 4; ++k) {
            const [x, y] = [i + dirs[k], j + dirs[k + 1]];
            if (x < 0 || x >= m || y < 0 || y >= n || !grid[x][y]) {
                continue;
            }
            if (uf.union(i * n + j, x * n + y)) {
                --cnt;
            }
        }
        ans.push(cnt);
    }
    return ans;
}
