Problem:


Score : 300 points

Problem Statement

There are N cities numbered 1 through N, and M bidirectional roads numbered 1 through M.
Road i connects City A_i and City B_i.

Snuke can perform the following operation zero or more times:

Choose two distinct cities that are not directly connected by a road, and build a new road between the two cities.

After he finishes the operations, it must be possible to travel from any city to any other cities by following roads (possibly multiple times).

What is the minimum number of roads he must build to achieve the goal?

Constraints

2 \leq N \leq 100,000

1 \leq M \leq 100,000

1 \leq A_i < B_i \leq N

No two roads connect the same pair of cities.

All values in input are integers.

Input

Input is given from Standard Input in the following format:

N M
A_1 B_1
:
A_M B_M

Output

Print the answer.

Sample Input 1

3 1
1 2

Sample Output 1

1

Initially, there are three cities, and there is a road between City 1 and City 2.

Snuke can achieve the goal by building one new road, for example, between City 1 and City 3.
After that,

We can travel between 1 and 2 directly.

We can travel between 1 and 3 directly.

We can travel between 2 and 3 by following both roads (2 - 1 - 3).



Sample input:
3 1
1 2


Sample output:
1

Submission status: Accepted

Solution code:
n,m = map(int,input().split())
peer = [[] for _ in range(n)]
for _ in range(m):
  a,b = map(int,input().split())
  a -= 1
  b -= 1
  peer[a].append(b)
  peer[b].append(a)
seen = [0 for _ in range(n)]
ans = -1
for i in range(n):
  if seen[i]:
    continue
  ans += 1
  now = [i]
  while now:
    last = now
    now = []
    for x in last:
      for y in peer[x]:
        if not seen[y]:
          seen[y] = 1
          now.append(y)
print(ans)

Submission status: Accepted

Solution code:
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())


n, m = list(map(int, input().split()))
uf = UnionFind(n)
for i in range(m):
    a, b = map(int, input().split())
    uf.union(a-1, b-1)
print(uf.group_count()-1)

Submission status: Accepted

Solution code:
N, M, *AB = [int(_) for _ in open(0).read().split()]
A, B = AB[::2], AB[1::2]


class UnionFind():
    def __init__(self, n):
        self.n = n
        self.root = [-1] * (n + 1)
        self.rank = [0] * (n + 1)

    def find(self, x):
        if self.root[x] < 0:
            return x
        else:
            self.root[x] = self.find(self.root[x])
            return self.root[x]

    def unite(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if x == y:
            return 0
        elif self.rank[x] > self.rank[y]:
            self.root[x] += self.root[y]
            self.root[y] = x
        else:
            self.root[y] += self.root[x]
            self.root[x] = y
            if self.rank[x] == self.rank[y]:
                self.rank[y] += 1

    def is_same(self, x, y):
        return self.find(x) == self.find(y)

    def size(self, x):
        return -self.root[self.find(x)]


uf = UnionFind(N)
for a, b in zip(A, B):
    uf.unite(a, b)
ans = len(set(uf.find(i) for i in range(1, N + 1))) - 1
print(ans)

Submission status: Accepted

Solution code:
def main():
    examC()

def examA():
    K = I()
    ans = "ACL"*K
    print(ans)
    return

def examB():
    A, B, C, D = LI()
    if (A<=D and C<=A) or A<=C<=B:
        ans = "Yes"
    else:
        ans = "No"
    print(ans)
    return

def examC():
    class UnionFind():
        def __init__(self, n):
            self.parent = [-1 for _ in range(n)]
            # 正==子: 根の頂点番号 / 負==根: 連結頂点数

        def reset(self):
            self.parent = [-1] * len(self.parent)

        def find(self, x):
            # 要素xが属するグループの根を返す
            if self.parent[x] < 0:
                return x
            else:
                self.parent[x] = self.find(self.parent[x])
                return self.parent[x]

        def unite(self, x, y):
            # 要素xが属するグループと要素yが属するグループとを併合する
            x, y = self.find(x), self.find(y)
            if x == y:
                return False
            else:
                if self.size(x) < self.size(y):
                    x, y = y, x
                self.parent[x] += self.parent[y]
                self.parent[y] = x

        def same(self, x, y):
            # 要素x, yが同じグループに属するかどうかを返す
            return self.find(x) == self.find(y)

        def size(self, x):
            # 要素xが属するグループのサイズ（要素数）を返す
            x = self.find(x)
            return -self.parent[x]

        def is_root(self, x):
            # 要素の根をリストで返す
            return self.parent[x] < 0

        def roots(self):
            # すべての根の要素をリストで返す
            return [i for i, x in enumerate(self.parent) if x < 0]

        def members(self, x):
            # 要素xが属するグループに属する要素をリストで返す
            root = self.find(x)
            return [i for i in range(self.n) if self.find(i) == root]

        def group_count(self):
            # グループの数を返す
            return len(self.roots())

        def all_group_members(self):
            # {ルート要素: [そのグループに含まれる要素のリスト], ...}の辞書を返す
            return {r: self.members(r) for r in self.roots()}
    N, M = LI()
    uf = UnionFind(N)
    for _ in range(M):
        a, b = LI()
        a -= 1
        b -= 1
        uf.unite(a,b)

    ans = uf.group_count()-1
    print(ans)
    return

def examD():
    ans = 0
    print(ans)
    return

def examE():
    ans = 0
    print(ans)
    return

def examF():
    ans = 0
    print(ans)
    return

def test():
    i = I()
    li = LI()
    lsi = LSI()
    si = LS()
    print(i)
    print(li)
    print(lsi)
    print(si)
    return

from decimal import getcontext,Decimal as dec
import sys,bisect,itertools,heapq,math,random
from copy import deepcopy
from heapq import heappop,heappush,heapify
from collections import Counter,defaultdict,deque
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
def I(): return int(input())
def LI(): return list(map(int,sys.stdin.readline().split()))
def DI(): return dec(input())
def LDI(): return list(map(dec,sys.stdin.readline().split()))
def LSI(): return list(map(str,sys.stdin.readline().split()))
def LS(): return sys.stdin.readline().split()
def SI(): return sys.stdin.readline().strip()
global mod,mod2,inf,alphabet,alphabet_convert,_ep
mod = 10**9 + 7
mod2 = 998244353
inf = 1<<31
_ep = dec("0.000000000001")
alphabet = [chr(ord('a') + i) for i in range(26)]
alphabet_convert = {chr(ord('a') + i): i for i in range(26)}

getcontext().prec = 28

sys.setrecursionlimit(10**7)

if __name__ == '__main__':
    main()

"""
142
12 9 1445 0 1
asd dfg hj o o
aidn
"""

Submission status: Accepted

Solution code:
class UnionFind():
    def __init__(self,n):
        self.n=n
        self.root=[-1]*n
        self.rank=[-1]*n

    def Find_Root(self,x):
        if self.root[x]<0:return x
        else:
            self.root[x]=self.Find_Root(self.root[x])
            return self.root[x]

    def Unite(self,x,y):
        x=self.Find_Root(x)
        y=self.Find_Root(y)

        if x==y:return
        elif self.rank[x]>self.rank[y]:
            self.root[x] +=self.root[y]
            self.root[y]=x
        else:
            self.root[y] +=self.root[x]
            self.root[x]=y
            if self.rank[x]==self.rank[y]:
                self.rank[y] +=1

    def isSameGroup(self,x,y):
        return self.Find_Root(x)==self.Find_Root(y)

    def size(self,x):
        return -self.root[self.Find_Root(x)]

    def members(self,x):
        root=self.Find_Root(x)
        return [i for i in range(self.n) if self.Find_Root(i)==root]

    def roots(self):
        return[i for i,j in enumerate(self.root) if j<0]

    def group_members(self):
        return {i:self.members(i) for i in self.roots()}

    def group_count(self):
        return len(self.roots())


n,m=map(int,input().split())
AB=[list(map(int,input().split())) for _ in range(m)]

UnionFind=UnionFind(n+1)
for a,b in AB:
    UnionFind.Unite(a,b)

length=UnionFind.group_count()-2
print(max(0,length))

Submission status: Accepted

Solution code:
import sys


class UF_tree:
    def __init__(self, n):
        self.root = [-1] * (n + 1)
        self.rank = [0] * (n + 1)

    def find(self, x):
        if self.root[x] < 0:
            return x
        else:
            self.root[x] = self.find(self.root[x])
            return self.root[x]

    def isSame(self, x, y):
        return self.find(x) == self.find(y)

    def unite(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if x == y:
            return
        elif self.rank[x] < self.rank[y]:
            self.root[y] += self.root[x]
            self.root[x] = y
        else:
            self.root[x] += self.root[y]
            self.root[y] = x
            if self.rank[x] == self.rank[y]:
                self.rank[x] += 1

    def size(self, x):
        return -self.root[self.find(x)]


input = sys.stdin.buffer.readline
sys.setrecursionlimit(10 ** 7)
N, M = map(int, input().split())
uf = UF_tree(N)
for _ in range(M):
    a, b = map(int, input().split())
    a -= 1
    b -= 1
    uf.unite(a, b)

town = set([uf.find(i) for i in range(N)])
print(len(town) - 1)

Submission status: Accepted

Solution code:
from collections import defaultdict
import sys
input = sys.stdin.readline
N,M = map(int,input().split())
AB = [list(map(int,input().split())) for i in range(M)]

g = defaultdict(list)
for a,b in AB:
    g[a].append(b)
    g[b].append(a)

cnt = 0
visited = [False] * (N+1)

for i in range(1,N+1):
    if visited[i]:
        continue
    cnt += 1
    l = [i]
    while l:
        v = l.pop()
        visited[v] = True
        for nv in g[v]:
            if not visited[nv]:
                l.append(nv)

print(cnt-1)

Submission status: Accepted

Solution code:
import sys
input = sys.stdin.readline

class UnionFind:
    def __init__(self, n):
        self.parent = list(range(n))

    def find(self, a):
        acopy = a
        while a != self.parent[a]:
            a = self.parent[a]
        while acopy != a:
            self.parent[acopy], acopy = a, self.parent[acopy]
        return a

    def union(self, a, b):
        self.parent[self.find(b)] = self.find(a)

n, m = map(int, input().split())
UF = UnionFind(n)
for _ in range(m):
    a,b = map(int, input().split())
    UF.union(a-1,b-1)
o=set()
for i in range(n):
    o.add(UF.find(i))
print(len(o) - 1)

Submission status: Accepted

Solution code:


"""クラスカル
重み付きグラフの最小全域木(辺の重みの総和が最小になる全域木)
# 全域木：グラフのすべての頂点を含む部分グラフであって、
# 木である限りできるだけ多くの辺を持つもの
クラスカルのアルゴリズム
UnionFindを使う

O(|E|log(V))
"""

class UnionFind():
    """
    UnionFindTreeのクラス
    
    Attributes:
    n: int: ノード数
    parents: そのノードが属する木の根を格納, 根の場合は-1

    """
    def __init__(self, n):
        """ノード数nで初期化"""
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        """ノードxが属するグループの根を返す"""
        if self.parents[x] < 0:
            return x
        else:
            #経路圧縮
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        """xが属するグループとyが属するグループを併合"""
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        """xが属するグループの要素数を返す"""
        return -self.parents[self.find(x)]

    def same(self, x, y):
        """x, yが同じグループに属するかどうかを返す"""
        return self.find(x) == self.find(y)

    def members(self, x):
        """xが属するグループ内の要素をリストで返す"""
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        """全ての根に対する要素をリストで返す"""
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        """グループの総数を返す"""
        return len(self.roots())

    def all_group_members(self):
        """{root: [そのグループの要素リスト]}の辞書を返す"""
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        """printデバッグ用. root: [要素リスト]をstrで返す"""
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())




def kruskal(edge_list: list, n_V: int):
    """
    クラスカル法
    edge_list: 各要素が(weight, node1, node2)のリスト
    n_V: ノード数
    sortがボトルネックとなりO(|E|log(|E|))
    """
    edge_list = sorted(edge_list) # 重み昇順に整列
    ret = 0
    uf = UnionFind(n_V) # UnionFind
    n_edges = 0
    for w, s, t in edge_list:
        if n_edges == n_V-1: #全域木になったら終了
            break
        if uf.same(s, t):
            #s, tが同じグループの場合,
            #構築するものが木ではなくなってしまう(閉路ができる)
            #のでcontinue
            continue
        
        uf.union(s, t) # s, tを併合
        ret += w
        n_edges += 1
    
    return ret

N,M=map(int,input().split())

uf = UnionFind(N)
for _ in range(M):
    a, b = map(int, input().split())
    uf.union(a-1, b-1)

print(uf.group_count() - 1)

Submission status: Accepted

Solution code:
from collections import defaultdict, deque, Counter
from heapq import heappush, heappop, heapify
from math import gcd
import bisect
import random
from itertools import permutations, accumulate, combinations, product
import sys
import string
from bisect import bisect_left, bisect_right
from math import factorial, ceil, floor, gcd
from operator import mul
from functools import reduce
from pprint import pprint


sys.setrecursionlimit(2147483647)
INF = 10 ** 13
def LI(): return list(map(int, sys.stdin.readline().split()))
def I(): return int(sys.stdin.readline())
def LS(): return sys.stdin.readline().rstrip().split()
def S(): return sys.stdin.readline().rstrip()
def IR(n): return [I() for i in range(n)]
def LIR(n): return [LI() for i in range(n)]
def SR(n): return [S() for i in range(n)]
def LSR(n): return [LS() for i in range(n)]
def SRL(n): return [list(S()) for i in range(n)]
def MSRL(n): return [[int(j) for j in list(S())] for i in range(n)]

mod=10**9+7

class UnionFind:
    def __init__(self, n):
        # 負  : 根であることを示す。絶対値はランクを示す
        # 非負: 根でないことを示す。値は親を示す
        self.table = [-1] * n
        self.size = [1] * n
        self.group_num = n

    def root(self, x):
        if self.table[x] < 0:
            return x
        else:
            self.table[x] = self.root(self.table[x])
            return self.table[x]

    def get_size(self, x):
        r = self.root(x)
        return self.size[r]

    def is_same(self, x, y):
        return self.root(x) == self.root(y)

    def union(self, x, y):
        r1 = self.root(x)
        r2 = self.root(y)
        if r1 == r2:
            return
        # ランクの取得
        d1 = self.table[r1]
        d2 = self.table[r2]
        if d1 <= d2:
            self.table[r2] = r1
            self.size[r1] += self.size[r2]
            if d1 == d2:
                self.table[r1] -= 1
        else:
            self.table[r1] = r2
            self.size[r2] += self.size[r1]
        self.group_num -= 1

n,m=LI()
U=UnionFind(n)
for _ in range(m):
    a,b=LI()
    U.union(a-1,b-1)

print(U.group_num-1)

Submission status: Accepted

Solution code:
import sys

input = sys.stdin.buffer.readline

n, m = map(int, input().split())


class UnionFind:
    # あり本実装
    # rankとrootの配列を1つで賄う方法
    def __init__(self, n):
        self.n = n
        self.par = [-1] * n

    # 根を求める
    def find(self, x):
        if self.par[x] < 0:
            return x
        else:
            self.par[x] = self.find(self.par[x])
            return self.par[x]

    # 同じかどうかの判定
    def is_same(self, x, y):
        return self.find(x) == self.find(y)

    # 集合の大きさ
    def size(self, x):
        return -self.find(x)

    # 　2つの集合の合体
    # 重みが大きい方に小さい方をつけるようにする
    def unite(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if x == y:
            return False

        if self.par[x] > self.par[y]:
            x, y = y, x
        self.par[x] += self.par[y]
        self.par[y] = x
        return True


UF = UnionFind(n)

for _ in range(m):
    a, b = map(int, input().split())
    a -= 1
    b -= 1
    UF.unite(a, b)

cnt = 0
for i in range(n):
    if UF.find(i) == i:
        cnt += 1

print(cnt - 1)

Submission status: Accepted

Solution code:
import sys
input = sys.stdin.buffer.readline

MOD = 10 ** 9 + 7
INF = 2 * 10**18

in_n = lambda: int(input())
in_nn = lambda: map(int, input().split())
in_s = lambda: input().rstrip().decode('utf-8')
in_map = lambda: [s == ord('.') for s in input() if s != ord('\n')]


class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        ret = dict()
        for i in range(self.n):
            r = self.find(i)
            if r in ret:
                ret[r].append(i)
            else:
                ret[r] = [i]
        return ret

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())


def main():

    N, M = in_nn()
    uni = UnionFind(N)

    for i in range(M):
        a, b = in_nn()
        a, b = a - 1, b - 1
        uni.union(a, b)

    ans = uni.group_count() - 1
    print(ans)


if __name__ == '__main__':
    main()

Submission status: Accepted

Solution code:
#!/usr/bin/env python3
import sys
sys.setrecursionlimit(10**6)
INF = 10 ** 9 + 1  # sys.maxsize # float("inf")
MOD = 10 ** 9 + 7


def init_unionfind(N):
    global parent, rank
    parent = [-1] * N
    rank = [0] * N


def find_root(x):
    p = parent[x]
    if p == -1:
        return x
    p2 = find_root(p)
    parent[x] = p2
    return p2


def unite(x, y):
    x = find_root(x)
    y = find_root(y)
    if x == y:
        return  # already united
    if rank[x] < rank[y]:
        parent[x] = y
    else:
        parent[y] = x
        if rank[x] == rank[y]:
            rank[x] += 1


def is_connected(x, y):
    return (find_root(x) == find_root(y))


def debug(*x):
    print(*x, file=sys.stderr)


def solve(N, M, edges):
    init_unionfind(N)
    for e in edges:
        unite(e[0] - 1, e[1] - 1)

    s = set(find_root(x) for x in range(N))

    return len(s) - 1


def main():
    # parse input
    N, M = map(int, input().split())
    edges = []
    for _i in range(M):
        edges.append(tuple(map(int, input().split())))

    print(solve(N, M, edges))


# tests
T1 = """
3 1
1 2
"""
TEST_T1 = """
>>> as_input(T1)
>>> main()
1
"""


def _test():
    import doctest
    doctest.testmod()
    g = globals()
    for k in sorted(g):
        if k.startswith("TEST_"):
            doctest.run_docstring_examples(g[k], g, name=k)


def as_input(s):
    "use in test, use given string as input file"
    import io
    f = io.StringIO(s.strip())
    g = globals()
    g["input"] = lambda: bytes(f.readline(), "ascii")
    g["read"] = lambda: bytes(f.read(), "ascii")


input = sys.stdin.buffer.readline
read = sys.stdin.buffer.read

if sys.argv[-1] == "-t":
    print("testing")
    _test()
    sys.exit()

main()

Submission status: Accepted

Solution code:
import sys, math
import io, os
#data = io.BytesIO(os.read(0,os.fstat(0).st_size)).readline
from bisect import bisect_left as bl, bisect_right as br, insort
from heapq import heapify, heappush, heappop
from collections import defaultdict as dd, deque, Counter
# from itertools import permutations,combinations
def data(): return sys.stdin.readline().strip()
def mdata(): return list(map(int, data().split()))
def outl(var): sys.stdout.write('\n'.join(map(str, var)) + '\n')
def out(var): sys.stdout.write(str(var) + '\n')
from decimal import Decimal
# from fractions import Fraction
# sys.setrecursionlimit(100000)
mod = 998244353
INF=float('inf')




def find(x):
    while Group[x] != x:
        x = Group[x]
    return x

def Union(x, y):
    if find(x) != find(y):

        if Nodes[find(x)] < Nodes[find(y)]:
            Nodes[find(y)] += Nodes[find(x)]
            Nodes[find(x)] = 0
            Group[find(x)] = find(y)

        else:
            Nodes[find(x)] += Nodes[find(y)]
            Nodes[find(y)] = 0
            Group[find(y)] = find(x)




n,m=mdata()
Group = [i for i in range(n + 1)]
Nodes = [1] * (n + 1)
for i in range(m):
    a,b=mdata()
    Union(a,b)
s=set()
for i in Group[1:]:
    s.add(find(i))
out(len(s)-1)

Submission status: Accepted

Solution code:
import sys
input = sys.stdin.readline
N, M = map(int, input().split())
class UnionFind():
  def __init__(self, n):
    self.n = n
    self.root = [-1] * (n + 1)
    self.rnk = [0] * (n + 1)

  def Find_Root(self, x):
    if self.root[x] < 0:
      return x
    else:
      self.root[x] = self.Find_Root(self.root[x])
      return self.root[x]

  def Unite(self, x, y):
    x = self.Find_Root(x)
    y = self.Find_Root(y)
    if x == y:
      return 
    elif self.rnk[x] > self.rnk[y]:
      self.root[x] += self.root[y]
      self.root[y] = x
    else:
      self.root[y] += self.root[x]
      self.root[x] = y
      if self.rnk[x] == self.rnk[y]:
        self.rnk[y] += 1

  def isSameGroup(self, x, y):
    return self.Find_Root(x) == self.Find_Root(y)

  def Count(self, x):
    return -self.root[self.Find_Root(x)]
uf = UnionFind(N)
for _ in range(M):
  u, v = map(int, input().split())
  uf.Unite(u, v)
res = set()
for x in range(1, N + 1): res.add(uf.Find_Root(x))
print(len(res) - 1)

Submission status: Accepted

Solution code:
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())

N,M=list(map(int,input().split()))
Network = UnionFind(N)
for i in range(M):
    a,b=list(map(int,input().split()))
    Network.union(a-1, b-1)
print(Network.group_count()-1)

Submission status: Accepted

Solution code:
N,M=map(int,input().split())
AB=[list(map(int,input().split())) for i in range(M)]
class UnionFind:
    def __init__(self,N):
        self.Parent=[-1]*N
    def unite(self,m,n):
        rm=self.root(m)
        rn=self.root(n)
        if rm==rn:
            return False
        else:
            if self.size(rm)<self.size(rn):
                rm,rn=rn,rm
            self.Parent[rm]+=self.Parent[rn]
            self.Parent[rn]=rm
            return True
    def root(self,n):
        if self.Parent[n]<0:
            return n
        else:
            self.Parent[n]=self.root(self.Parent[n])
            return self.Parent[n]
    def size(self,n):
        return -self.Parent[self.root(n)]
u=UnionFind(N)
for a,b in AB:
    u.unite(a-1,b-1)
print(len(set([u.root(i) for i in range(N)]))-1)

Submission status: Accepted

Solution code:
import typing


class DSU:
    '''
    Implement (union by size) + (path compression)
    Reference:
    Zvi Galil and Giuseppe F. Italiano,
    Data structures and algorithms for disjoint set union problems
    '''

    def __init__(self, n: int = 0):
        self._n = n
        self.parent_or_size = [-1] * n

    def merge(self, a: int, b: int) -> int:
        assert 0 <= a < self._n
        assert 0 <= b < self._n

        x = self.leader(a)
        y = self.leader(b)

        if x == y:
            return x

        if -self.parent_or_size[x] < -self.parent_or_size[y]:
            x, y = y, x

        self.parent_or_size[x] += self.parent_or_size[y]
        self.parent_or_size[y] = x

        return x

    def same(self, a: int, b: int) -> bool:
        assert 0 <= a < self._n
        assert 0 <= b < self._n

        return self.leader(a) == self.leader(b)

    def leader(self, a: int) -> int:
        assert 0 <= a < self._n

        if self.parent_or_size[a] < 0:
            return a

        self.parent_or_size[a] = self.leader(self.parent_or_size[a])
        return self.parent_or_size[a]

    def size(self, a: int) -> int:
        assert 0 <= a < self._n

        return -self.parent_or_size[self.leader(a)]

    def groups(self) -> typing.List[typing.List[int]]:
        leader_buf = [self.leader(i) for i in range(self._n)]

        result = [[] for _ in range(self._n)]
        for i in range(self._n):
            result[leader_buf[i]].append(i)

        return list(filter(lambda r: r, result))



n,m=map(int,input().split())
dsu=DSU(n)

for i in range(m):
    a,b=map(int,input().split())
    a-=1
    b-=1
    dsu.merge(a,b)

print(len(dsu.groups())-1)

Submission status: Accepted

Solution code:
import os,io
input=io.BytesIO(os.read(0,os.fstat(0).st_size)).readline
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n

    def find(self, x):
        if self.parents[x] < 0:
            return x
        else:
            self.parents[x] = self.find(self.parents[x])
            return self.parents[x]

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return

        if self.parents[x] > self.parents[y]:
            x, y = y, x

        self.parents[x] += self.parents[y]
        self.parents[y] = x

    def size(self, x):
        return -self.parents[self.find(x)]

    def same(self, x, y):
        return self.find(x) == self.find(y)

    def members(self, x):
        root = self.find(x)
        return [i for i in range(self.n) if self.find(i) == root]

    def roots(self):
        return [i for i, x in enumerate(self.parents) if x < 0]

    def group_count(self):
        return len(self.roots())

    def all_group_members(self):
        return {r: self.members(r) for r in self.roots()}

    def __str__(self):
        return '\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())
n,m=map(int,input().split())
uf=UnionFind(n)
for i in range(m):
  x,y=map(int,input().split())
  uf.union(x-1,y-1)
print(uf.group_count()-1)

Submission status: Accepted

Solution code:
class UnionFind(object):
    def __init__(self, n):
        self.parent = {i: i for i in range(n)}
        self.rank = {i: 0 for i in range(n)}
        self.size = {i: 1 for i in range(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):
        x = self.find(x)
        y = self.find(y)

        if x == y:
            return
        
        if self.rank[x] < self.rank[y]:
            self.parent[x] = y

        else:
            self.parent[y] = x

            if self.rank[x] == self.rank[y]:
                self.rank[x] += 1

        self.size[x] += self.size[y]
        self.size[y] = self.size[x]


    def get_size(self, x):
        return self.size[self.find(x)]


n, m = map(int, input().split())
tree = UnionFind(n)

for i in range(m):
    a, b = map(int, input().split())
    a -= 1
    b -= 1
    tree.union(a, b)

print(len({tree.find(i) for i in range(n)}) - 1)