# Original solution
import sys
sys.setrecursionlimit(10**7)
def MI(): return list(map(int,sys.stdin.readline().rstrip().split()))


N,Q = MI()
mod = 998244353
power = [1]  # power[i] = 10**i
for i in range(N):
    power.append((power[-1]*10) % mod)
t = pow(9,mod-2,mod)  # 9 の逆数


class LazySegTree():  # モノイドに対して適用可能、Nが2冪でなくても良い
    def __init__(self,N,X_func,A_func,operate,X_unit,A_unit):
        self.N = N
        self.X_func = X_func
        self.A_func = A_func
        self.operate = operate
        self.X_unit = X_unit
        self.A_unit = A_unit
        self.X = [self.X_unit]*(2*self.N)
        self.A = [self.A_unit]*(2*self.N)
        self.size = [0]*(2*self.N)

    def build(self,init_value):  # 初期値を[N,2N)に格納
        for i in range(self.N):
            self.X[self.N+i] = init_value[i]
            self.size[self.N+i] = 1
        for i in range(self.N-1,0,-1):
            self.X[i] = self.X_func(self.X[i << 1],self.X[i << 1 | 1])
            self.size[i] = self.size[i << 1] + self.size[i << 1 | 1]

    def update(self,i,x):  # i番目(0-index)の値をxに変更
        i += self.N
        self.X[i] = x
        i >>= 1
        while i:
            self.X[i] = self.X_func(self.X[i << 1],self.X[i << 1 | 1])
            i >>= 1

    def eval_at(self,i):  # i番目で作用を施した値を返す
        return self.operate(self.X[i],self.A[i],self.size[i])

    def eval_above(self,i):  # i番目より上の値を再計算する
        i >>= 1
        while i:
            self.X[i] = self.X_func(self.eval_at(i << 1),self.eval_at(i << 1 | 1))
            i >>= 1

    def propagate_at(self,i):  # i番目で作用を施し、1つ下に作用の情報を伝える
        self.X[i] = self.operate(self.X[i],self.A[i],self.size[i])
        self.A[i << 1] = self.A_func(self.A[i << 1],self.A[i])
        self.A[i << 1 | 1] = self.A_func(self.A[i << 1 | 1], self.A[i])
        self.A[i] = self.A_unit

    def propagate_above(self,i):  # i番目より上で作用を施す
        H = i.bit_length()
        for h in range(H,0,-1):
            self.propagate_at(i >> h)

    def fold(self,L,R):  # [L,R)の区間取得
        L += self.N
        R += self.N
        L0 = L // (L & -L)
        R0 = R // (R & -R) - 1
        self.propagate_above(L0)
        self.propagate_above(R0)
        vL = self.X_unit
        vR = self.X_unit
        while L < R:
            if L & 1:
                vL = self.X_func(vL,self.eval_at(L))
                L += 1
            if R & 1:
                R -= 1
                vR = self.X_func(self.eval_at(R),vR)
            L >>= 1
            R >>= 1
        return self.X_func(vL,vR)

    def operate_range(self,L,R,x):  # [L,R)にxを作用
        L += self.N
        R += self.N
        L0 = L // (L & -L)
        R0 = R // (R & -R) - 1
        self.propagate_above(L0)
        self.propagate_above(R0)
        while L < R:
            if L & 1:
                self.A[L] = self.A_func(self.A[L],x)
                L += 1
            if R & 1:
                R -= 1
                self.A[R] = self.A_func(self.A[R],x)
            L >>= 1
            R >>= 1
        self.eval_above(L0)
        self.eval_above(R0)


def X_func(x,y):
    x1,x2 = x
    y1,y2 = y
    return ((x1*power[y2]+y1) % mod,x2+y2)


def A_func(a,b):
    a1,a2 = a
    b1,b2 = b
    return ((a1*b1) % mod,(a2*b1+b2) % mod)


def operate(x,a,r):  # 右作用
    x1,x2 = x
    a1,a2 = a
    return (a1*x1+(a2*(power[x2]-1)*t) % mod,x2)


LST = LazySegTree(N,X_func,A_func,operate,(0,0),(1,0))
LST.build([(1,1)]*N)

for _ in range(Q):
    l,r,d = MI()
    LST.operate_range(l-1,r,(0,d))
    print((LST.fold(0,N)[0]))


# Optimized solution
import sys
sys.setrecursionlimit(10**7)
def MI(): return list(map(int,sys.stdin.readline().rstrip().split()))


N,Q = MI()
mod = 998244353
power = [1]  # power[i] = 10**i
for i in range(N):
    power.append((power[-1]*10) % mod)
t = pow(9,mod-2,mod)  # 9 の逆数


class LazySegTree():  # モノイドに対して適用可能、Nが2冪でなくても良い
    def __init__(self,N,X_func,A_func,operate,X_unit,A_unit):
        self.N = N
        self.X_func = X_func
        self.A_func = A_func
        self.operate = operate
        self.X_unit = X_unit
        self.A_unit = A_unit
        self.X = [self.X_unit]*(2*self.N)
        self.A = [self.A_unit]*(2*self.N)
        self.size = [0]*(2*self.N)

    def build(self,init_value):  # 初期値を[N,2N)に格納
        for i in range(self.N):
            self.X[self.N+i] = init_value[i]
            self.size[self.N+i] = 1
        for i in range(self.N-1,0,-1):
            self.X[i] = self.X_func(self.X[i << 1],self.X[i << 1 | 1])
            self.size[i] = self.size[i << 1] + self.size[i << 1 | 1]

    def update(self,i,x):  # i番目(0-index)の値をxに変更
        i += self.N
        self.X[i] = x
        i >>= 1
        while i:
            self.X[i] = self.X_func(self.X[i << 1],self.X[i << 1 | 1])
            i >>= 1

    def eval_at(self,i):  # i番目で作用を施した値を返す
        return self.operate(self.X[i],self.A[i],self.size[i])

    def eval_above(self,i):  # i番目より上の値を再計算する
        i >>= 1
        while i:
            self.X[i] = self.X_func(self.eval_at(i << 1),self.eval_at(i << 1 | 1))
            i >>= 1

    def propagate_at(self,i):  # i番目で作用を施し、1つ下に作用の情報を伝える
        self.X[i] = self.operate(self.X[i],self.A[i],self.size[i])
        self.A[i << 1] = self.A_func(self.A[i << 1],self.A[i])
        self.A[i << 1 | 1] = self.A_func(self.A[i << 1 | 1], self.A[i])
        self.A[i] = self.A_unit

    def propagate_above(self,i):  # i番目より上で作用を施す
        H = i.bit_length()
        for h in range(H,0,-1):
            self.propagate_at(i >> h)

    def fold(self,L,R):  # [L,R)の区間取得
        L += self.N
        R += self.N
        L0 = L // (L & -L)
        R0 = R // (R & -R) - 1
        self.propagate_above(L0)
        self.propagate_above(R0)
        vL = self.X_unit
        vR = self.X_unit
        while L < R:
            if L & 1:
                vL = self.X_func(vL,self.eval_at(L))
                L += 1
            if R & 1:
                R -= 1
                vR = self.X_func(self.eval_at(R),vR)
            L >>= 1
            R >>= 1
        return self.X_func(vL,vR)

    def operate_range(self,L,R,x):  # [L,R)にxを作用
        L += self.N
        R += self.N
        L0 = L // (L & -L)
        R0 = R // (R & -R) - 1
        self.propagate_above(L0)
        self.propagate_above(R0)
        while L < R:
            if L & 1:
                self.A[L] = self.A_func(self.A[L],x)
                L += 1
            if R & 1:
                R -= 1
                self.A[R] = self.A_func(self.A[R],x)
            L >>= 1
            R >>= 1
        self.eval_above(L0)
        self.eval_above(R0)


def X_func(x,y):
    x1,x2 = x
    y1,y2 = y
    return ((x1*power[y2]+y1) % mod,x2+y2)


def A_func(a,b):
    if b == 0:
        return a
    return b


def operate(x,a,r):  # 右作用
    if a == 0:
        return x
    x1,x2 = x
    return ((a*(power[x2]-1)*t) % mod,x2)


LST = LazySegTree(N,X_func,A_func,operate,(0,0),0)
LST.build([(1,1)]*N)

for _ in range(Q):
    l,r,d = MI()
    LST.operate_range(l-1,r,d)
    print((LST.fold(0,N)[0]))