import sys,random,bisect
from collections import deque,defaultdict
from heapq import heapify,heappop,heappush
from itertools import permutations
from math import gcd,log

input = lambda :sys.stdin.readline().rstrip()
mi = lambda :map(int,input().split())
li = lambda :list(mi())

class UnionFindVerSize():
    def __init__(self, N):
        self._parent = [n for n in range(0, N)]
        self._size = [1] * N
        self.group = N

    def find_root(self, x):
        if self._parent[x] == x: return x
        self._parent[x] = self.find_root(self._parent[x])
        return self._parent[x]

    def unite(self, x, y):
        gx = self.find_root(x)
        gy = self.find_root(y)
        if gx == gy: return

        self.group -= 1

        if self._size[gx] < self._size[gy]:
            self._parent[gx] = gy
            self._size[gy] += self._size[gx]
        else:
            self._parent[gy] = gx
            self._size[gx] += self._size[gy]

    def get_size(self, x):
        return self._size[self.find_root(x)]

    def is_same_group(self, x, y):
        return self.find_root(x) == self.find_root(y)

class WeightedUnionFind():
    def __init__(self,N):
        self.n = N
        self.parent = [i for i in range(N)]
        self.size = [1 for i in range(N)]
        self.val = [0 for i in range(N)]
        self.flag = True
        self.edge = [[] for i in range(N)]
        self.change = []
        self.free = N

    def dfs(self,v,pv):
        stack = [(v,pv)]
        new_parent = self.parent[pv]
        while stack:
            v,pv = stack.pop()
            self.parent[v] = new_parent
            for nv,w in self.edge[v]:
                if nv!=pv:
                    self.val[nv] = self.val[v] ^ w
                    stack.append((nv,v))

    def unite(self,x,y,w):
        self.change.append(x)
        self.change.append(y)
        if not self.flag:
            return
        if self.parent[x]==self.parent[y]:
            self.flag &= (self.val[x] ^ self.val[y] == w)
            return
        
        self.free -= 1

        if self.size[self.parent[x]]>self.size[self.parent[y]]:
            self.edge[x].append((y,w))
            self.edge[y].append((x,w))
            self.size[x] += self.size[y]
            self.val[y] = self.val[x] ^ w
            self.dfs(y,x)
        else:
            self.edge[x].append((y,w))
            self.edge[y].append((x,w))
            self.size[y] += self.size[x]
            self.val[x] = self.val[y] ^ w
            self.dfs(x,y)
    
    def reset(self):
        self.flag = True
        self.free = self.n
        for x in self.change:
            self.parent[x] = x
            self.size[x] = 1
            self.val[x] = 0
            self.edge[x] = []
        self.change = []


N,Q = mi()
uf = WeightedUnionFind(N)
for _ in range(Q):
    t,*query = mi()
    if t == 1:
        u,v = query
        u,v = u-1,v-1
        if u!=v:
            uf.unite(u,v,1)
    elif t == 2:
        u,v = query
        u,v = u-1,v-1
        if u!=v:
            uf.unite(u,v,0)
    else:
        uf.reset()
    
    if uf.flag:
        print(pow(2,uf.free,998244353))
    else:
        print(0)