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: class UnionSet:
    def __init__(self, num_node: int) -> None:
        self.size = [1] * num_node
        self.id = [i for i in range(num_node + 1)]

    def get_root(self, i: int) -> int:
        while i != self.id[i]:
            self.id[i] = self.id[self.id[i]]
            i = self.id[i]
        return i

    def is_connected(self, node1: int, node2: int) -> bool:
        return self.get_root(node1) == self.get_root(node2)

    def unite(self, node1: int, node2: int) -> None:
        i, j = self.get_root(node1), self.get_root(node2)
        if i == j:
            return
        if self.size[i] < self.size[j]:
            self.id[i] = j
            self.size[j] += self.size[i]
        else:
            self.id[j] = i
            self.size[i] += self.size[j]


if __name__ == "__main__":
    num_users, num_relations = map(lambda x: int(x), input().split())
    union_set = UnionSet(num_users)

    for _ in range(num_relations):
        user1, user2 = map(lambda x: int(x), input().split())
        union_set.unite(user1, user2)

    num_questions = int(input())
    for _ in range(num_questions):
        user1, user2 = map(lambda x: int(x), input().split())
        if union_set.is_connected(user1, user2):
            print("yes")
        else:
            print("no")

Python: def search(s, t, a):
    global g
    a.add(s)
    if s == t:
        return True
    else:
        for ch in g[s]:
            if not (ch in a):
                result = search(ch, t, a)
                if result:
                    return result
        return False

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

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

q = int(input())
for i in range(q):
    s, t = list(map(int, input().split()))
    a = set()
    result = search(s, t, a)
    if result:
        print("yes")
    else:
        print("no")
    a.clear()

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)

Python: n, m = map(int, raw_input().split())
G = [[0 for i in range(n)] for j in range(n)]

for i in range(m):
    s, t = map(int, raw_input().split())
    G[s][t] = 1
    G[t][s] = 1

for i in range(n):
    for j in range(n):
        for k in range(n):
            if G[j][k] == 1:
                for l in range(n):
                    if G[k][l] == 1:
                        G[j][l] = 1
                        G[l][j] = 1

q = int(raw_input())
ans = ["no" for i in range(q)]
for i in range(q):
    s, t = map(int, raw_input().split())
    if G[s][t] == 1:
        ans[i] = "yes"
for i in range(q):
    print(ans[i])

Python: n,m = map(int,input().split())
B = [[0 for i in range(n)] for j in range(n)]
chk = [0 for i in range(n)]
s = []
i_array = [0 for i in range(n)]
connect = []
cou = 0
node_in = [0 for i in range(n)]

for i in range(m):
    A = list(map(int,input().split()))
    B[A[0]][A[1]] = 1
    B[A[1]][A[0]] = 1

for i in range(n):
    if(chk[i] == 1):
        continue
    chk[i] = 1
    s.append(i)
    connect.append([])
    connect[cou].append(i)
    node_in[i] = cou

    while(len(s) != 0):
        flag = 0
        v = s[len(s)-1]
        for j in range(i_array[v],n):
            if(B[v][j] == 1 and chk[j] == 0):
                chk[j] = 1
                s.append(j)
                connect[cou].append(j)
                node_in[j] = cou
                i_array[v] = j+1
                flag = 1
                break
        if(flag == 0):
            s.pop()

    cou += 1

q = int(input())
for i in range(q):
    start,target = map(int,input().split())
    p = node_in[start]
    flag = 0
    for j in range(len(connect[p])):
        if(connect[p][j] == target):
            print("yes")
            flag = 1
            break
    if(flag == 0):
        print("no")

Python: def tan(G,st,fi):
    global flag
    global flag_list
    for i in range(len(G)):
        if flag_list[i] == 1:
            continue
        if G[st][i] == 1:
            if i == fi:
                flag = 1
            flag_list[i] = 1
            tan(G,i,fi)
    
n,m = list(map(int, input().split()))
G = [[0 for i in range(n)] for j in range(n)]

for i in range(m):
    S = list(map(int, input().split()))
    G[S[0]][S[1]] = 1
    G[S[1]][S[0]] = 1

q = int(input())
ans = []
for i in range(q):
    Q = list(map(int, input().split()))
    flag = 0
    flag_list = [0 for i in range(n)]
    tan(G,Q[0],Q[1])
    if flag==1:
        ans.append("yes")
    else:
        ans.append("no")
        
for i in range(q):
    print(ans[i])