<p>You are given an integer array of unique positive integers <code>nums</code>. Consider the following graph:</p>

<ul>
	<li>There are <code>nums.length</code> nodes, labeled <code>nums[0]</code> to <code>nums[nums.length - 1]</code>,</li>
	<li>There is an undirected edge between <code>nums[i]</code> and <code>nums[j]</code> if <code>nums[i]</code> and <code>nums[j]</code> share a common factor greater than <code>1</code>.</li>
</ul>

<p>Return <em>the size of the largest connected component in the graph</em>.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2018/12/01/ex1.png" style="width: 500px; height: 97px;" />
<pre>
<strong>Input:</strong> nums = [4,6,15,35]
<strong>Output:</strong> 4
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2018/12/01/ex2.png" style="width: 500px; height: 85px;" />
<pre>
<strong>Input:</strong> nums = [20,50,9,63]
<strong>Output:</strong> 2
</pre>

<p><strong class="example">Example 3:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2018/12/01/ex3.png" style="width: 500px; height: 260px;" />
<pre>
<strong>Input:</strong> nums = [2,3,6,7,4,12,21,39]
<strong>Output:</strong> 8
</pre>

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

<ul>
	<li><code>1 &lt;= nums.length &lt;= 2 * 10<sup>4</sup></code></li>
	<li><code>1 &lt;= nums[i] &lt;= 10<sup>5</sup></code></li>
	<li>All the values of <code>nums</code> are <strong>unique</strong>.</li>
</ul>

class UnionFind:
    def __init__(self, n):
        self.parent = list(range(n))
        self.rank = [1] * n

    def find(self, x):
        if self.parent[x] != x:
            self.parent[x] = self.find(self.parent[x])
        return self.parent[x]

    def union(self, x, y):
        root_x, root_y = self.find(x), self.find(y)
        if root_x != root_y:
            if self.rank[root_x] < self.rank[root_y]:
                root_x, root_y = root_y, root_x
            self.parent[root_y] = root_x
            self.rank[root_x] += self.rank[root_y]

class Solution:
    def largestComponentSize(self, nums: List[int]) -> int:
        max_num = max(nums)
        uf = UnionFind(max_num + 1)

        def prime_factors(num):
            factors = set()
            while num % 2 == 0:
                factors.add(2)
                num //= 2
            for i in range(3, int(num**0.5) + 1, 2):
                while num % i == 0:
                    factors.add(i)
                    num //= i
            if num > 2:
                factors.add(num)
            return factors

        num_to_index = {num: i for i, num in enumerate(nums)}
        factors_to_index = {}
        for i, num in enumerate(nums):
            factors = prime_factors(num)
            for factor in factors:
                if factor not in factors_to_index:
                    factors_to_index[factor] = i
                else:
                    uf.union(i, factors_to_index[factor])

        group_sizes = Counter(uf.find(num_to_index[num]) for num in nums)
        return max(group_sizes.values())
24950