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并查集#
发布于2020-12-05
上次编辑2021-04-20

Introduction

并查集是用于处理 不相交集合查询合并 问题的数据结构。它包含三种基本操作:

  1. 集合初始化
  2. 查询元素所在集合
  3. 合并两个集合

  4. LeetCode 并查集专题

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class UnionFind:
    def __init__(self):
        self.fa = None
        self.size = None

    def init_set(self, n: int) -> None:
        self.fa = list(range(n))
        self.size = [1] * n

    def find_set(self, x: int) -> int:
        if x != self.fa[x]:
            self.fa[x] = self.find_set(self.fa[x])
        return self.fa[x]

    def union_sets(self, x: int, y: int) -> bool:
        x, y = self.find_set(x), self.find_set(y)
        if x == y: return False
        if self.size[x] < self.size[y]: x, y = y, x
        self.fa[y] = x
        self.size[x] += self.size[y]
        return True

    def is_connected(self, x: int, y: int) -> bool:
        return self.find_set(x) == self.find_set(y)

    def count(self) -> int:
        return sum(1 for i, x in enumerate(self.fa) if i == x)
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class UnionFind {
public:
    vector<int> fa, size;

    void init_set(int n) {
        fa.resize(n), size.resize(n);
        for (int i = 0; i < n; ++i) { fa[i] = i, size[i] = 1; }
    }

    int find_set(int x) { return x == fa[x] ? x : (fa[x] = find_set(fa[x])); }

    bool union_sets(int x, int y) {
        x = find_set(x), y = find_set(y);
        if (x == y) return false;
        if (size[x] < size[y]) swap(x, y);
        fa[y] = x, size[x] += size[y];
        return true;
    }

    bool is_connected(int x, int y) { return find_set(x) == find_set(y); }

    int count() {
        int n = fa.size(), cnt = 0;
        for (int i = 0; i < n; ++i) if (i == fa[i]) ++cnt;
        return cnt;
    }
};
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