Go: package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"
)

var scanner = bufio.NewScanner(os.Stdin)

func nextString() string {
	scanner.Scan()
	return scanner.Text()
}

func nextInt() int {
	n, err := strconv.Atoi(nextString())
	if err != nil {
		fmt.Printf("strconv.Atoi failed: %v\n", err)
	}
	return n
}

func newGraph(nNodes int) *Graph {
	g := Graph{}
	g.nodes = make([]*GraphNode, nNodes)
	for iNode := 0; iNode < len(g.nodes); iNode++ {
		g.nodes[iNode] = &GraphNode{}
		g.nodes[iNode].key = GraphNodeKey(iNode)
	}
	return &g
}

var infty = 1000000000

type GraphNodeKey int

// GraphNode is a node for undirected graph
type GraphNode struct {
	key       GraphNodeKey
	adjacents []*GraphNode
	visited   bool
	d, f      int
	parent    *GraphNode
	cc        int
}

func (g *Graph) setAdjacent(l, r GraphNodeKey) {
	g.nodes[l].adjacents = append(g.nodes[l].adjacents, g.nodes[r])
}

// Graph is a undirected graph
type Graph struct {
	nodes []*GraphNode
}

func (g *Graph) initialize() {
	for iNode := 0; iNode < len(g.nodes); iNode++ {
		g.nodes[iNode].visited = false
		g.nodes[iNode].d = infty
		g.nodes[iNode].f = infty
		g.nodes[iNode].parent = nil
		g.nodes[iNode].cc = -1 // 22.3-12
	}
}

type QueueEntry struct {
	node *GraphNode
	next *QueueEntry
}

type Queue struct {
	head, tail *QueueEntry
}

func (q *Queue) enqueue(node *GraphNode) {
	entry := QueueEntry{}
	entry.node = node

	if q.tail == nil {
		q.head = &entry
		q.tail = &entry
		return
	}

	q.tail.next = &entry
	q.tail = q.tail.next
}

func (q *Queue) dequeue() *QueueEntry {
	if q.head == nil {
		return nil
	}
	poped := q.head
	q.head = q.head.next
	if q.head == nil {
		q.tail = nil
	}
	return poped
}

func (q *Queue) isEmpty() bool {
	return q.head == nil
}

var time = 0

func fillDistancesByDepthFirstSearch(g *Graph) {
	g.initialize()
	time = 0
	cc := 0

	for _, u := range g.nodes {
		if !u.visited {
			dfsVisit(g, u, cc)
			cc++
		}
	}
}

func dfsVisit(g *Graph, u *GraphNode, cc int) {
	time++
	u.d = time
	u.cc = cc

	u.visited = true
	for _, v := range u.adjacents {
		if !v.visited {
			v.parent = u
			dfsVisit(g, v, cc)
		}
	}
	time++
	u.f = time
}

func main() {
	scanner.Split(bufio.ScanWords)

	nUsers := nextInt()
	nEdges := nextInt()
	graph := newGraph(nUsers)
	for iEdge := 0; iEdge < nEdges; iEdge++ {
		l := GraphNodeKey(nextInt())
		r := GraphNodeKey(nextInt())
		graph.setAdjacent(l, r)
		graph.setAdjacent(r, l)
	}

	fillDistancesByDepthFirstSearch(graph)

	nQueries := nextInt()
	for iQuery := 0; iQuery < nQueries; iQuery++ {
		l := GraphNodeKey(nextInt())
		r := GraphNodeKey(nextInt())

		// fmt.Println(graph.nodes[l].d, graph.nodes[r].d, graph.nodes[r].f, graph.nodes[l].f)
		if graph.nodes[l].cc == graph.nodes[r].cc {
			fmt.Println("yes")
		} else {
			fmt.Println("no")
		}
	}
}

Python: from collections import deque


def dfs(G, C, id, color):
    S = deque()
    S.append(id)
    C[id] = color

    while S:
        u = S.pop()
        #S = S[:-1]  # pop
        for i in range(len(G[u])):
            v = G[u][i]
            if C[v] == -1:
                C[v] = color
                S.append(v)


if __name__ == '__main__':
    # ??????????????\???
    num_of_users, num_of_links = [int(x) for x in input().split(' ')]
    links = []
    for _ in range(num_of_links):
        links.append(list(map(int, input().split(' '))))
    num_of_queries = int(input())
    queries = []
    for _ in range(num_of_queries):
        queries.append(list(map(int, input().split(' '))))

    # ???????????????
    G = [[] for _ in range(100000)]
    C = [-1] * 100000
    for f, t in links:
        G[f].append(t)
        G[t].append(f)

    color = 1
    for id in range(num_of_users):
        if C[id] == -1:
            dfs(G, C, id, color)
        color += 1

    # ???????????????
    for x, y in queries:
        if C[x] == C[y]:
            print('yes')
        else:
            print('no')

Python: n = list(map(int,input().split()))
cn = [i for i in range(n[0])]
cnt = [[0]]*n[0]
for i in range(1,n[0]):
    cnt[i] = [i]
x = [1]*n[0]

for i in range(n[1]):
    a = list(map(int,input().split()))
    if cn[a[0]] != cn[a[1]]:
        if x[a[0]] > x[a[1]]: 
            tmp = cn[a[1]]
            tmp2 = cn[a[0]]
        else: 
            tmp = cn[a[0]]
            tmp2 = cn[a[1]]
        for j in cnt[tmp]:
            cn[j] = cn[tmp2]
        x[tmp2] += len(cnt[tmp])
        cnt[tmp2].extend(cnt[tmp])
        cnt[tmp] = [-1]

q = int(input())
for i in range(q):
    a = list(map(int,input().split()))
    if cn[a[0]] == cn[a[1]]: print("yes")
    else: print("no")

Python: n, m = map(int, input().split())
*p, = range(n)
def root(s):
    if s == p[s]:
        return p[s]
    p[s] = s = root(p[s])
    return s
def unite(a, b):
    aa = root(a);bb = root(b)
    if aa < bb:
        p[bb] = aa
    else:
        p[aa] = bb
        
for i in range(m):
    s, t = map(int, input().split())
    unite(s, t)
N = int(input())
*_, = map(root, range(n))

ans = []
for i in range(N):
    s, t = map(int, input().split())
    ans.append('yes' if p[s] == p[t] else 'no')
print('\n'.join(ans))

Python: # -*- coding: utf_8 -*-

level = False
def debug(v):
    if level:
        print(v)

NOT_FOUND = 0
ENQUEUED = 1
FOUND = 2

def bfs(graph, start, target):
    debug(graph)
    if start == target:
        return True
    
    queue = []
    status = [NOT_FOUND] * len(graph)
    queue.append(start)

    while len(queue) != 0:
        debug("----------------------------")
        node = queue.pop(0)
        status[node] = FOUND
        edges = graph[node]
        debug(queue)
        debug(status)
        debug(edges)
        for e in edges:
            if e == target:
                return True
            if status[e] == NOT_FOUND:
                status[e] = ENQUEUED
                queue.append(e)

    return False

if __name__ == "__main__":
    n, m = [int(x) for x in input().split()]

    g = [[] for i in range(n)]
    for i in range(m):
        u, e = [int(x) for x in input().split()]
        g[u].append(e)
        g[e].append(u)

    n = int(input())
    for i in range(n):
        s, d = [int(x) for x in input().split()]
        if bfs(g, s, d):
            print("yes")
        else:
            print("no")

Python: def dfs(G, s):
    # ????????????
    S = [s]
    # ?¨??????????????????????
    C = set([s])
    while len(S) > 0:
        v = S.pop()
        for w in G[v]:
            if w not in C:
                S.append(w)
                C |= set([w])
    return C


if __name__ == '__main__':
    n, m = map(int, input().split())
    G = {key: [] for key in range(n)}
    for i in range(m):
        s, t = map(int, input().split())
        G[s].append(t)
        G[t].append(s)

    q = int(input())
    for _ in range(q):
        s, t = map(int, input().split())
        if t in dfs(G, s):
            print('yes')
        else:
            print('no')

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

adj = [[] for i in range(n)]

for i in range(m):
    s, t = map(int, input().split())
    adj[s].append(t)
    adj[t].append(s)

isVisited = [False] * n

CC = [None] * n


def dfs(u, group):
    isVisited[u] = True
    CC[u] = group
    for v in adj[u]:
        if not isVisited[v]:
            dfs(v, group)

def makeCC(group):
    for i in range(n):
        if not isVisited[i]:
            dfs(i, group)
            group += 1

def isConnected(v1, v2):
    if CC[v1] == CC[v2]:
        print('yes')
    else:
        print('no')


makeCC(0)


q = int(input())

for i in range(q):
    s, t = map(int, input().split())
    isConnected(s, t)