### BUGGY CODE ###

class LazySegmentTree():
  def __init__(self, n, op, e, mapping, composition, id):
    self.n = n
    self.op = op
    self.e = e
    self.mapping = mapping
    self.composition = composition
    self.id = id
    self.log = (n - 1).bit_length()
    self.size = 1 << self.log
    self.data = [e] * (2 * self.size)
    self.lazy = [id] * (self.size)

  def update(self, k):
    #print(self.data[2*k],self.data[2*k+1])
    self.data[k] = self.op(self.data[2 * k], self.data[2 * k + 1])

  def all_apply(self, k, f):
    self.data[k] = self.mapping(f, self.data[k])
    if k < self.size:
      self.lazy[k] = self.composition(f, self.lazy[k])

  def push(self, k): # 親の遅延配列の値を子に反映させる
    self.all_apply(2 * k, self.lazy[k])
    self.all_apply(2 * k + 1, self.lazy[k])
    self.lazy[k] = self.id

  def build(self, arr):
    #assert len(arr) == self.n
    for i, a in enumerate(arr):
      self.data[self.size + i] = a
    for i in range(self.size-1,0,-1):
      self.update(i)

  def set(self, p, x):
    #assert 0 <= p < self.n
    p += self.size
    #事前に関係のある遅延配列を全て反映させてしまう
    for i in range(self.log, 0, -1):
      self.push(p >> i)
    self.data[p] = x #値を更新する
    #関係のある区間の値も更新する
    for i in range(1, self.log + 1):
      self.update(p >> i)

  def get(self, p):
    #assert 0 <= p < self.n
    p += self.size
    #関係のある遅延配列を全て反映させる
    for i in range(1, self.log + 1):
      self.push(p >> i)
    return self.data[p]

  def prod(self, l, r):
    #assert 0 <= l <= r <= self.n
    if l == r: return self.e
    l += self.size
    r += self.size
    for i in range(self.log, 0, -1):
      if ((l >> i) << i) != l: self.push(l >> i)
      if ((r >> i) << i) != r: self.push(r >> i)
    sml = smr = self.e
    while l < r:
      if l & 1:
        sml = self.op(sml, self.data[l])
        l += 1
      if r & 1:
        r -= 1
        smr = self.op(self.data[r], smr)
      l >>= 1
      r >>= 1
    return self.op(sml, smr)

  def all_prod(self):
    return self.data[1]

  def apply(self, p, f):
    #assert 0 <= p < self.n
    p += self.size
    for i in range(self.log, 0, -1):
      self.push(p >> i)
    self.data[p] = self.mapping(f, self.data[p])
    for i in range(1, self.log + 1):
      self.update(p >> i)

  def range_apply(self, l, r, f):
    #assert 0 <= l <= r <= self.n
    if l == r: return
    l += self.size
    r += self.size
    for i in range(self.log, 0, -1):
      if ((l >> i) << i) != l: self.push(l >> i)
      if ((r >> i) << i) != r: self.push((r - 1) >> i)
    l2 = l
    r2 = r
    while l < r:
      if l & 1:
        self.all_apply(l, f)
        l += 1
      if r & 1:
        r -= 1
        self.all_apply(r, f)
      l >>= 1
      r >>= 1
    l = l2
    r = r2
    for i in range(1, self.log + 1):
      if ((l >> i) << i) != l: self.update(l >> i)
      if ((r >> i) << i) != r: self.update((r - 1) >> i)

  def max_right(self, l, g):
    #assert 0 <= l <= self.n
    #assert g(self.e)
    if l == self.n: return self.n
    l += self.size
    for i in range(self.log, 0, -1):
      self.push(l >> i)
    sm = self.e
    while True:
      while l % 2 == 0: l >>= 1
      if not g(self.op(sm, self.data[l])):
        while l < self.size:
          self.push(l)
          l = 2 * l
          if g(self.op(sm, self.data[l])):
            sm = self.op(sm, self.data[l])
            l += 1
        return l - self.size
      sm = self.op(sm, self.data[l])
      l += 1
      if (l & -l) == l: return self.n

  def min_left(self, r, g):
    #assert 0 <= r <= self.n
    #assert g(self.e)
    if r == 0: return 0
    r += self.size
    for i in range(self.log, 0, -1):
      self.push((r - 1) >> i)
    sm = self.e
    while True:
      r -= 1
      while r > 1 and r % 2: r >>= 1
      if not g(self.op(self.data[r], sm)):
        while r < self.size:
          self.push(r)
          r = 2 * r + 1
          if g(self.op(self.data[r], sm)):
            sm = self.op(self.data[r], sm)
            r -= 1
        return r + 1 - self.size
      sm = self.op(self.data[r], sm)
      if (r & -r) == r: return 0

import sys
input = sys.stdin.readline

INF = pow(10,18)
mod = 998244353
po32 = pow(2,32)

n,q=map(int,input().split())
lrd=[list(map(int,input().split())) for _ in range(q)]
def dm(x):
  return divmod(x,po32)
def md(xv,xw):
  return xv*po32+xw
def op(x, y):
  xv, xw = dm(x)
  yv, yw = dm(y)
  return md((xv*pow(10,yw,mod)+yv)%mod,xw+yw)

def mapping(p, x): #pが更新後の値, xが更新する前の値
  if p==INF:return x
  xv,xw=dm(x)
  return md(((pow(10,xw)-1)//9*p)%mod,xw)

def composition(p, q):
  if p!=INF:return p
  return q

arr = [md(1,1)]*n

e = 0
id = INF

lst = LazySegmentTree(n,op,e,mapping,composition,id)
lst.build(arr)

ans = []
for l,r,d in lrd:
  lst.range_apply(l - 1, r, d)
  v = lst.all_prod()
  ans.append(dm(v)[0]%mod)

print(*ans, sep='\n')


### FIXED CODE ###

class LazySegmentTree():
  def __init__(self, n, op, e, mapping, composition, id):
    self.n = n
    self.op = op
    self.e = e
    self.mapping = mapping
    self.composition = composition
    self.id = id
    self.log = (n - 1).bit_length()
    self.size = 1 << self.log
    self.data = [e] * (2 * self.size)
    self.lazy = [id] * (self.size)

  def update(self, k):
    #print(self.data[2*k],self.data[2*k+1])
    self.data[k] = self.op(self.data[2 * k], self.data[2 * k + 1])

  def all_apply(self, k, f):
    self.data[k] = self.mapping(f, self.data[k])
    if k < self.size:
      self.lazy[k] = self.composition(f, self.lazy[k])

  def push(self, k): # 親の遅延配列の値を子に反映させる
    self.all_apply(2 * k, self.lazy[k])
    self.all_apply(2 * k + 1, self.lazy[k])
    self.lazy[k] = self.id

  def build(self, arr):
    #assert len(arr) == self.n
    for i, a in enumerate(arr):
      self.data[self.size + i] = a
    for i in range(self.size-1,0,-1):
      self.update(i)

  def set(self, p, x):
    #assert 0 <= p < self.n
    p += self.size
    #事前に関係のある遅延配列を全て反映させてしまう
    for i in range(self.log, 0, -1):
      self.push(p >> i)
    self.data[p] = x #値を更新する
    #関係のある区間の値も更新する
    for i in range(1, self.log + 1):
      self.update(p >> i)

  def get(self, p):
    #assert 0 <= p < self.n
    p += self.size
    #関係のある遅延配列を全て反映させる
    for i in range(1, self.log + 1):
      self.push(p >> i)
    return self.data[p]

  def prod(self, l, r):
    #assert 0 <= l <= r <= self.n
    if l == r: return self.e
    l += self.size
    r += self.size
    for i in range(self.log, 0, -1):
      if ((l >> i) << i) != l: self.push(l >> i)
      if ((r >> i) << i) != r: self.push(r >> i)
    sml = smr = self.e
    while l < r:
      if l & 1:
        sml = self.op(sml, self.data[l])
        l += 1
      if r & 1:
        r -= 1
        smr = self.op(self.data[r], smr)
      l >>= 1
      r >>= 1
    return self.op(sml, smr)

  def all_prod(self):
    return self.data[1]

  def apply(self, p, f):
    #assert 0 <= p < self.n
    p += self.size
    for i in range(self.log, 0, -1):
      self.push(p >> i)
    self.data[p] = self.mapping(f, self.data[p])
    for i in range(1, self.log + 1):
      self.update(p >> i)

  def range_apply(self, l, r, f):
    #assert 0 <= l <= r <= self.n
    if l == r: return
    l += self.size
    r += self.size
    for i in range(self.log, 0, -1):
      if ((l >> i) << i) != l: self.push(l >> i)
      if ((r >> i) << i) != r: self.push((r - 1) >> i)
    l2 = l
    r2 = r
    while l < r:
      if l & 1:
        self.all_apply(l, f)
        l += 1
      if r & 1:
        r -= 1
        self.all_apply(r, f)
      l >>= 1
      r >>= 1
    l = l2
    r = r2
    for i in range(1, self.log + 1):
      if ((l >> i) << i) != l: self.update(l >> i)
      if ((r >> i) << i) != r: self.update((r - 1) >> i)

  def max_right(self, l, g):
    #assert 0 <= l <= self.n
    #assert g(self.e)
    if l == self.n: return self.n
    l += self.size
    for i in range(self.log, 0, -1):
      self.push(l >> i)
    sm = self.e
    while True:
      while l % 2 == 0: l >>= 1
      if not g(self.op(sm, self.data[l])):
        while l < self.size:
          self.push(l)
          l = 2 * l
          if g(self.op(sm, self.data[l])):
            sm = self.op(sm, self.data[l])
            l += 1
        return l - self.size
      sm = self.op(sm, self.data[l])
      l += 1
      if (l & -l) == l: return self.n

  def min_left(self, r, g):
    #assert 0 <= r <= self.n
    #assert g(self.e)
    if r == 0: return 0
    r += self.size
    for i in range(self.log, 0, -1):
      self.push((r - 1) >> i)
    sm = self.e
    while True:
      r -= 1
      while r > 1 and r % 2: r >>= 1
      if not g(self.op(self.data[r], sm)):
        while r < self.size:
          self.push(r)
          r = 2 * r + 1
          if g(self.op(self.data[r], sm)):
            sm = self.op(self.data[r], sm)
            r -= 1
        return r + 1 - self.size
      sm = self.op(self.data[r], sm)
      if (r & -r) == r: return 0

import sys
input = sys.stdin.readline

INF = pow(10,18)
mod = 998244353
po32 = pow(2,32)

n,q=map(int,input().split())
lrd=[list(map(int,input().split())) for _ in range(q)]
#def dm(x):
#  return divmod(x,po32)

#def md(xv,xw):
#  return xv*po32+xw

def op(x, y):
  xv, xw = x
  yv, yw = y
  return (xv+yv)%mod,(xw+yw)%mod

def mapping(p, x): #pが更新後の値, xが更新する前の値
  if p==INF:return x
  xv,xw=x
  return (xw*p)%mod,xw

def composition(p, q):
  if p!=INF:return p
  return q

e=0,0
id=INF
ary=[(pow(10,n-i-1,mod),pow(10,n-i-1,mod)) for i in range(n)]
lst=LazySegmentTree(n,op,e,mapping,composition,id)
lst.build(ary)
#print(ary)
#print(lst.all_prod())
ans = []
for l,r,d in lrd:
  lst.range_apply(l - 1, r, d)
  v = lst.all_prod()
  ans.append(v[0]%mod)

print(*ans, sep='\n')