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 ).

Solution (Python):
class UF:
    def __init__(self, N):
        self.uf = [-1]*N
        self.n = N

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

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

    def union(self, x, y):
        x, y = self.find(x), self.find(y)
        if x==y: return
        if self.size(x) > self.size(y): x, y = y, x
        self.uf[y] += self.uf[x]
        self.uf[x] = y
        self.n -= 1

N, M = map(int, input().split())
uf = UF(N)
for _ in range(M):
    A, B = map(int, input().split())
    uf.union(A-1, B-1)
    
print(uf.n-1)

Solution (Python):
from sys import setrecursionlimit
setrecursionlimit(10 ** 9)

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

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

        if x == y:
            return False
        else:
            if self.d[x] > self.d[y]:
                x, y = y, x
            self.d[x] += self.d[y]
            self.d[y] = x
            return True

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


    def size(self, x):
        return -self.d[self.find(x)]
N,M = map(int,input().split())
uf = UnionFind(N)
for i in range(M):
    A,B = map(int,input().split())
    uf.unite(A-1,B-1)
minus = 0
cnt = set()
for i in range(N):
    if uf.find(i) == '-1':
        minus += 1
    else:
        cnt.add(uf.find(i))
print(len(cnt)+minus-1)

Solution (Python):

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

    
    def find(self, x):
        history = []
        while self.parents[x] >= 0:
            history.append(x)
            x = self.parents[x]
        for node in history:
            self.parents[node] = x
        return 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())

from sys import stdin
input = stdin.buffer.readline

def main():
    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)

main()

Solution (Python):
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)


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

s = set([])
for i in range(n):
    s.add(uf.find(i))

print(len(s)-1)

Solution (Python):
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 = [int(i) for i in input().split()]
ABS = [[int(i) for i in input().split()] for _ in range(M)]

uf = UnionFind(N+1)
for a, b in ABS:
  uf.union(a, b)

print(uf.group_count() - 2)

Solution (Python):


import re
import math
from collections import defaultdict,deque,Counter
from fractions import Fraction
import bisect
import itertools
from itertools import accumulate
from copy import deepcopy

import heapq
import random
import time
import os
import sys
from functools import lru_cache,reduce
readline=sys.stdin.readline
sys.setrecursionlimit(100000)
alp="abcdefghijklmnopqrstuvwxyz"
numbers="0123456789"
mod=int(10**9+7)
inf=int(10**19)
class Set():
    def __init__(self,A=[]):
        self.heap=[]
        self.dic=defaultdict(bool)
        self.size=0
        for a in A:self.add(a)
    
    def __str__(self):
        return str(self.heap)
    
    def add(self,x):
        if not self.find(x):
            heapq.heappush(self.heap,x)
            self.dic[x]=True
            self.size+=1

    def remove(self,x):
        if self.find(x):
            self.dic[x]=False
            self.size-=1

    def find(self,x):
        return self.dic[x]
    
    def top(self):
        while self.heap and self.dic[self.heap[0]]==False:
            heapq.heappop(self.heap)
        if self.heap:return self.heap[0]
        else:return None

    def pop(self):
        ret=None
        if self.heap:
            ret=self.top()
            self.remove(ret)
        return ret
class multiset():
    def __init__(self,A=[]):
        self.heap=[]
        self.dic=defaultdict(int)
        self.size=0
        for a in A:self.add(a)
    
    def __str__(self):
        return str(self.heap)
    
    def add(self,x):
        heapq.heappush(self.heap,x)
        self.dic[x]+=1
        self.size+=1

    def remove(self,x):
        if self.dic[x]>0:
            self.dic[x]-=1
            self.size-=1
    
    def count(self,x):
        return self.dic[x]

    def find(self,x):
        return self.dic[x]>0
    
    def top(self):
        while self.heap and self.dic[self.heap[0]]==0:
            heapq.heappop(self.heap)
        if self.heap:return self.heap[0]
        else:return None

    def pop(self):
        ret=None
        if self.heap:
            ret=self.top()
            self.remove(ret)
        return ret
class Edge():
    def __init__(self,x,y,val=1):
        self.x=x
        self.y=y
        self.val=val
class Point():
    def __init__(self,y,x):
        self.x=x
        self.y=y
class unionfind():
    def __init__(self,n):
        self.n=n
        self.P=[a for a in range(n)]
        self.rank=[0]*n
 
    def find(self,x):
        if(x!=self.P[x]):
            self.P[x]=self.find(self.P[x])
        return self.P[x]
 
    def same(self,x,y):
        return self.find(x)==self.find(y)
 
    def link(self,x,y):
        if self.rank[x]<self.rank[y]:
            self.P[x]=y
        elif self.rank[y]<self.rank[x]:
            self.P[y]=x
        else:
            self.P[x]=y
            self.rank[y]+=1
 
    def unite(self,x,y):
        self.link(self.find(x),self.find(y))
 
    def size(self):
        S=set()
        for a in range(self.n):
            S.add(self.find(a))
        return len(S)
def yn(b):print("yes" if b else "no")
def Yn(b):print("Yes" if b else "No")
def YN(b):print("YES" if b else "NO")
def ispow(a,b):
    now=b
    while now<a:
        now*=b
    return now==a
def getbin(num,size):
    A=[0]*size
    for a in range(size):
        if (num>>(size-a-1))&1==1:
            A[a]=1
        else:
            A[a]=0
    return A
def getfacs(n,mod_=0):
    A=[1]*(n+1)
    for a in range(2,len(A)):
        A[a]=A[a-1]*a
        if(mod_>0):A[a]%=mod_
    return A
def comb(n,r,mod,fac):
    if(n-r<0):return 0
    return (fac[n]*pow(fac[n-r],mod-2,mod)*pow(fac[r],mod-2,mod))%mod
def nextcomb(num,size):
    x=num&(-num)
    y=num+x
    z=num&(~y)
    z//=x
    z=z>>1
    num=(y|z)
    if(num>=(1<<size)):return False
    else:return num
def getprimes(n):
    if n==0:return []
    A=[True]*(n+1)
    A[0]=False
    A[1]=False
    for a in range(2,n+1):
        if A[a]:
            for b in range(a*2,n+1,a):
                A[b]=False
    ret=[]
    for a in range(n+1):
        if(A[a]):ret.append(a)
    return ret
def isprime(num):
    if(num<=1):return False
    i=2
    while i*i<=num:
       if(num%i==0):return False
       i+=1
    return True
def ifelse(b,t,f):return t if b else f
def factorize(n):
    b = 2
    ret=defaultdict(int)
    while b * b <= n:
        while n % b == 0:
            n //= b
            ret[b]+=1
        b+=1
    if n > 1:ret[n]+=1
    return ret
def inputintlist(row=1): 
    if row==1:
        ret=list(map(int,input().split()))
    else:
        ret=[None]*row
        for a in range(row):
            ret[a]=int(input())
    return ret
def inputfloatlist(row=1): 
    if row==1:
        ret=list(map(float,input().split()))
    else:
        ret=[None]*row
        for a in range(row):
            ret[a]=float(input())
    return ret
def istanchouzouka(A):
    f=True
    prev=min(A)-1
    for a in A:
        if prev>=a:
            f=False
        prev=a
    return f
def istanchouhigensyou(A):
    f=True
    prev=min(A)-1
    for a in A:
        if prev>a:
            f=False
        prev=a
    return f
def getallsum(A):
    s=sum(A)
    dp=defaultdict(int)
    dp[0]=1
    for a in range(0,len(A)):
        for b in range(s,-1,-1):
            if b-A[a]>=0:
                dp[b]+=dp[b-A[a]]
    return dp
def yuukoutomukou(edges):
    ret=deepcopy(edges)
    for edge in edges:
        if not edge.x==edge.y:
            ret.append(Edge(edge.y,edge.x,edge.val))
    return ret
def dijkstra(edges,V,start):
    from queue import PriorityQueue
    mincost=[inf]*V
    G=[[] for a in range(V)]
    for edge in edges:
        G[edge.x].append([edge.val,edge.y])
    Q=PriorityQueue()
    Q.put([0,start])
    while not Q.empty():
        nowcost,nowx=Q.get()
        if mincost[nowx]==inf:
            mincost[nowx]=nowcost
            for cost,y in G[nowx]:
                newcost=nowcost+cost
                Q.put([newcost,y])
    return mincost
def warshallfloyd(edges,V):
    mincost=[[inf for b in range(V)] for a in range(V)]
    for a in range(V):mincost[a][a]=0
    for edge in edges:
        mincost[edge.x][edge.y]=min(mincost[edge.x][edge.y],edge.val)
    for k in range(V):
        for s in range(V):
            for t in range(V):
                if mincost[s][k]==inf or mincost[k][t]==inf:continue
                mincost[s][t]=min(mincost[s][t],mincost[s][k]+mincost[k][t])
    return mincost
def bellemanford(edges,V,start):
    mincost=[inf]*V
    mincost[start]=0
    for _ in range(V):
        for edge in edges:
            if mincost[edge.x]==inf:continue
            mincost[edge.y]=min(mincost[edge.y],mincost[edge.x]+edge.val)
    return mincost
def getmd(x1,y1,x2,y2):return abs(x1-x2)+abs(y1-y2)
def geted(x1,y1,x2,y2):return math.sqrt((x1-x2)**2+(y1-y2)**2)
class fordfulkerson():
    def __init__(self,edges,V,s,t):
        self.V=V
        self.used=[False]*V
        self.G=[[] for a in range(V)]
        self.s=s
        self.t=t
        for edge in edges:
            self.G[edge.x].append({"x":edge.x,"y":edge.y,"cap":edge.val,"rev":len(self.G[edge.y])})
            self.G[edge.y].append({"x":edge.y,"y":edge.x,"cap":0,"rev":len(self.G[edge.x])-1})
    def dfs(self,v,t,f=inf):
        if v==t:return f
        self.used[v]=True
        for a in range(len(self.G[v])):
            x=self.G[v][a]["x"]
            y=self.G[v][a]["y"]
            cap=self.G[v][a]["cap"]
            rev=self.G[y][self.G[x][a]["rev"]]
            if self.used[y] or cap==0:continue
            f2=self.dfs(y,t,min(f,cap))
            if f2>0:
                self.G[v][a]["cap"]-=f2
                rev["cap"]+=f2
                return f2
        return 0
    def maxflow(self):
        flow=0
        while True:
            self.used=[False]*V
            zouka=self.dfs(self.s,self.t)
            if zouka==0:break
            flow+=zouka
        return flow
def zipsort(*args):
    ziplist=sorted(zip(*args))
    for a in range(len(args)):
        for b in range(len(ziplist)):
            args[a][b]=ziplist[b][a]
def zipreverse(*args):
    ziplist=list(zip(*args))
    rev=[]
    for a in range(len(ziplist)-1,-1,-1):
        rev.append(ziplist[a])
    for a in range(len(args)):
        for b in range(len(rev)):
            args[a][b]=rev[b][a]

def to10(A):
    ret=0
    for a in range(len(A)-1,-1,-1):
        ret+=X[a]*2**(N-1-a)
    return ret

N,M=inputintlist()
U=unionfind(N)
for a in range(M):
    A,B=inputintlist()
    A-=1
    B-=1
    U.unite(A,B)
s=set()
for a in range(N):
    s.add(U.find(a))
ans=len(s)-1
print(ans)

Solution (Python):
N, M = map(int, input().split())

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())
      
uf = UnionFind(N+1)

for m in range(M):
  a, b = map(int, input().split())
  uf.union(a, b)
  
print(len(uf.roots()) - 1 - 1)

Solution (Python):
class UnionFind:
    def __init__(self, n):
        self.par = [i for i in range(n+1)]
        self.rank = [0] * (n+1)
        self.num = [1] * (n+1)
 
    
    def find(self, x):
        if self.par[x] == x:
            return x
        else:
            self.par[x] = self.find(self.par[x])
            return self.par[x]
 
    
    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if self.rank[x] < self.rank[y]:
            self.par[x] = y
            self.num[y]+=self.num[x]
        else:
            self.par[y] = x
            self.num[x]+=self.num[y]
            if self.rank[x] == self.rank[y]:
                self.rank[x] += 1
 
    
    def same_check(self, x, y):
        return self.find(x) == self.find(y)
n, m = map(int, input().split())
uf = UnionFind(n)
for i in range(m):
  a, b = map(int, input().split())
  uf.union(a,b)
  
ans = 0
for i in range(1, n+1):
  if uf.par[i]==i:
    ans+=1
print(ans-1)

Solution (Python):
import sys
from scipy.sparse.csgraph import connected_components
from scipy.sparse import csr_matrix

input = sys.stdin.buffer.readline
int1 = lambda x: int(x) - 1

N, M = map(int, input().split())
frm, to = [], []
for _ in range(M):
    a, b = map(int1, input().split())
    frm.append(a)
    to.append(b)

matr = csr_matrix(([1] * M, (frm, to)), shape=(N, N))
p, _ = connected_components(matr)
print(p - 1)

Solution (Python):
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 (0, M):
    A, B = map(int, input().split())
    uf.union(A-1, B-1)

print(uf.group_count()-1)

Solution (Python):
import sys
import bisect
from functools import lru_cache
from collections import defaultdict
inf = float('inf')
readline = sys.stdin.buffer.readline
readlines = sys.stdin.buffer.readlines
sys.setrecursionlimit(10**6)
def input(): return sys.stdin.readline().rstrip()
def read():
  return int(readline())
def reads():
  return map(int, readline().split())

N,M=reads()

    
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 unite(self,x,y):
        
        x,y=self.find(x),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 roots(self):
        
        return [i for i, x in enumerate(self.parents) if x<0]
    def group_count(self):
        
        return len(self.roots())
    
    

uf=UnionFind(N)
for i in range(M):
    a,b=reads()
    uf.unite(a-1,b-1)
count=uf.group_count()
print(count-1)

Solution (Python):
import sys

sys.setrecursionlimit(10 ** 8)


def union(x, y):
    x = find(x)
    y = find(y)
    if x == y:
        return
    parent[x] = y


def find(x):
    if parent[x] == -1:
        return x
    res = parent[x] = find(parent[x])
    return res




N, M = map(int, input().split())
parent = [-1] * N
for _ in range(M):
    A, B = map(int, input().split())
    union(A - 1, B - 1)

groups = set()
for i in range(N):
    groups.add(find(i))
print(len(groups) - 1)

Solution (Python):

import sys
input = sys.stdin.readline

class DisjointSet:
    def __init__(self, n):
        self.par = [i for i in range(n)]
        self.size = [1] * n
        self.rank = [0] * n

    def root(self, x):
        if self.par[x] == x:
            return x
        else:
            self.par[x] = self.root(self.par[x])
            return self.par[x]

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

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

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


n, m = map(int, input().split())
DS = DisjointSet(n)
for _ in range(m):
    a, b = map(int, input().split())
    a -= 1; b -= 1
    DS.unite(a, b)
seen = set()
ans = 0
for i in range(n):
    r = DS.root(i)
    if r in seen:
        continue
    else:
        seen.add(r)
        ans += 1
print(ans - 1)

Solution (Python):

import sys
from math import factorial

MOD = 10 ** 9 + 7
INF = float('inf')


class UnionFind:
    def __init__(self, n):
        self.n = n
        self.parents = [-1] * n
        self.rank = [0] * 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
        elif self.rank[x] > self.rank[y]:
            self.parents[x] += self.parents[y]
            self.parents[y] = x
        else:
            self.parents[y] += self.parents[x]
            self.parents[x] = y
            if self.rank[x] == self.rank[y]:
                self.rank[y] += 1

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

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

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

un = UnionFind(N)
for a, b in AB:
    un.union(a-1, b-1)

g = len(un.roots())

print("{}".format(g-1))

Solution (Python):
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):
  a,b=map(int,input().split())
  a-=1
  b-=1
  uf.union(a,b)
print(uf.group_count()-1)

Solution (Python):

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+1)
for _ in range(m):
    a,b = map(int,input().split())
    uf.union(a,b)

print(uf.group_count()-2)

Solution (Python):
import sys



class UnionFind:
    def __init__(self, n: int):
        self.nodes = n
        self.parents = [-1] * n
        self.rank = [0] * 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 unite(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if x == y:
            return
        if self.rank[x] < self.rank[y]:
            self.parents[y] += self.parents[x]
            self.parents[x] = y
        else:
            self.parents[x] += self.parents[y]
            self.parents[y] = x
            if self.rank[x] == self.rank[y]:
                self.rank[x] += 1

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

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


def input():
    return sys.stdin.readline().strip()


def input_int():
    return int(input())


def input_int_list():
    return [int(i) for i in input().split()]


def main():
    n, m = input_int_list()
    union = UnionFind(n)
    for _ in range(m):
        a, b = input_int_list()
        
        a -= 1
        b -= 1
        union.unite(a, b)
    cnt = 0
    for p in union.parents:
        if p < 0:
            cnt += 1
    print(cnt - 1)

    return


if __name__ == "__main__":
    main()

Solution (Python):
class UnionFind():
    def __init__(self, n):
        self.n = n
        self.parents =[-1 for i in range(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 unite(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if x == y:
            return False
        if self.parents[x] > self.parents[y]:
            x, y = y, x
        self.parents[x] += self.parents[y]
        self.parents[y] = x
        return True

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

N, M = map(int, input().split())
ut = UnionFind(N)
for i in range(M):
    x, y = list(map(int, input().split()))
    ut.unite(x-1, y-1)
ans = -1
for x in ut.parents:
    if x < 0:
        ans += 1
print(ans)

Solution (Python):

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)]
    

N,M = map(int,input().split())
UN=UnionFind(N)
A=[0]*M
B=[0]*M
for i in range(M):
    A[i],B[i] = map(int,input().split())
    UN.Unite(A[i],B[i])


cnt=0
for i in range(1,N+1):
    if UN.root[i]<0:
        cnt +=1
print(cnt-1)

Solution (Python):
class UnionFind():

    def __init__(self, n):
        self.n = n
        self.parent = [-1 for i in range(n)]
    
    def root(self, x):
        if self.parent[x] <0:
            return x
        else:
            self.parent[x] = self.root(self.parent[x])
            return self.parent[x]
    
    def same(self, x, y):
        return (self.root(x) == self.root(y))

    def union(self, x, y):
        p = self.root(x)
        q = self.root(y)
        
        if not p==q :
            if self.parent[p] > self.parent[q]:
                p,q = q,p
            self.parent[p] += self.parent[q]
            self.parent[q] = p
    
    def size(self, x):
        return -self.parent[self.root(x)]


N,M = list(map(int, input().split()))
uf = UnionFind(N)
for i in range(M):
    A,B = list(map(int, input().split()))
    uf.union(A-1, B-1)

ans = 0
for i in range(N):
    if uf.root(i) == i:
        ans += 1
print(ans-1)

Solution (Python):
from collections import deque
N,M = map(int,input().split())
G = {i:[] for i in range(1,N+1)}
for _ in range(M):
    a,b = map(int,input().split())
    G[a].append(b)
    G[b].append(a)
col = [-1 for _ in range(N+1)]
cnt = 0
for i in range(1,N+1):
    if col[i]<0:
        col[i] = cnt
        que = deque([i])
        while que:
            x = que.popleft()
            for y in G[x]:
                if col[y]<0:
                    col[y]=cnt
                    que.append(y)
        cnt += 1
cmax = max(col)
print(cmax)