from typing import Generic, Iterable, Iterator, TypeVar, Union, List from bisect import bisect_left, bisect_right import sys import pypyjit import itertools import heapq import math from collections import deque, defaultdict import bisect input = sys.stdin.readline sys.setrecursionlimit(10 ** 6) pypyjit.set_param('max_unroll_recursion=-1') # https://github.com/tatyam-prime/SortedSet/blob/main/SortedSet.py T = TypeVar('T') class SortedSet(Generic[T]): BUCKET_RATIO = 50 REBUILD_RATIO = 170 def _build(self, a=None) -> None: "Evenly divide `a` into buckets." if a is None: a = list(self) size = self.size = len(a) bucket_size = int(math.ceil(math.sqrt(size / self.BUCKET_RATIO))) self.a = [a[size * i // bucket_size: size * (i + 1) // bucket_size] for i in range(bucket_size)] def __init__(self, a: Iterable[T] = []) -> None: "Make a new SortedSet from iterable. / O(N) if sorted and unique / O(N log N)" a = list(a) if not all(a[i] < a[i + 1] for i in range(len(a) - 1)): a = sorted(set(a)) self._build(a) def __iter__(self) -> Iterator[T]: for i in self.a: for j in i: yield j def __reversed__(self) -> Iterator[T]: for i in reversed(self.a): for j in reversed(i): yield j def __len__(self) -> int: return self.size def __repr__(self) -> str: return "SortedSet" + str(self.a) def __str__(self) -> str: s = str(list(self)) return "{" + s[1: len(s) - 1] + "}" def _find_bucket(self, x: T) -> List[T]: "Find the bucket which should contain x. self must not be empty." for a in self.a: if x <= a[-1]: return a return a def __contains__(self, x: T) -> bool: if self.size == 0: return False a = self._find_bucket(x) i = bisect_left(a, x) return i != len(a) and a[i] == x def add(self, x: T) -> bool: "Add an element and return True if added. / O(√N)" if self.size == 0: self.a = [[x]] self.size = 1 return True a = self._find_bucket(x) i = bisect_left(a, x) if i != len(a) and a[i] == x: return False a.insert(i, x) self.size += 1 if len(a) > len(self.a) * self.REBUILD_RATIO: self._build() return True def discard(self, x: T) -> bool: "Remove an element and return True if removed. / O(√N)" if self.size == 0: return False a = self._find_bucket(x) i = bisect_left(a, x) if i == len(a) or a[i] != x: return False a.pop(i) self.size -= 1 if len(a) == 0: self._build() return True def lt(self, x: T) -> Union[T, None]: "Find the largest element < x, or None if it doesn't exist." for a in reversed(self.a): if a[0] < x: return a[bisect_left(a, x) - 1] def le(self, x: T) -> Union[T, None]: "Find the largest element <= x, or None if it doesn't exist." for a in reversed(self.a): if a[0] <= x: return a[bisect_right(a, x) - 1] def gt(self, x: T) -> Union[T, None]: "Find the smallest element > x, or None if it doesn't exist." for a in self.a: if a[-1] > x: return a[bisect_right(a, x)] def ge(self, x: T) -> Union[T, None]: "Find the smallest element >= x, or None if it doesn't exist." for a in self.a: if a[-1] >= x: return a[bisect_left(a, x)] def __getitem__(self, x: int) -> T: "Return the x-th element, or IndexError if it doesn't exist." if x < 0: x += self.size if x < 0: raise IndexError for a in self.a: if x < len(a): return a[x] x -= len(a) raise IndexError def index(self, x: T) -> int: "Count the number of elements < x." ans = 0 for a in self.a: if a[-1] >= x: return ans + bisect_left(a, x) ans += len(a) return ans def index_right(self, x: T) -> int: "Count the number of elements <= x." ans = 0 for a in self.a: if a[-1] > x: return ans + bisect_right(a, x) ans += len(a) return ans class SegTree: def __init__(self, N, func, e): self.N = N self.func = func self.X = [e] * (N << 1) self.e = e def build(self, seq): for i in range(self.N): self.X[self.N + i] = seq[i] for i in range(self.N)[::-1]: self.X[i] = self.func(self.X[i << 1], self.X[i << 1 | 1]) def add(self, i, x): i += self.N self.X[i] += x while i > 1: i >>= 1 self.X[i] = self.func(self.X[i << 1], self.X[i << 1 | 1]) def update(self, i, x): i += self.N self.X[i] = x while i > 1: i >>= 1 self.X[i] = self.func(self.X[i << 1], self.X[i << 1 | 1]) def query(self, L, R): L += self.N R += self.N vL = self.e vR = self.e while L < R: if L & 1: vL = self.func(vL, self.X[L]) L += 1 if R & 1: R -= 1 vR = self.func(self.X[R], vR) L >>= 1 R >>= 1 return self.func(vL, vR) N, Q = map(int, input().split()) query = [tuple(map(int, input().split())) for _ in range(Q)] query.sort(key=lambda x: x[2], reverse=True) st = SegTree(N, min, 10 ** 9) st.build([10 ** 9] * N) S = SortedSet([i for i in range(N)]) for L, R, B in query: L -= 1 R -= 1 if st.query(L, R + 1) == B: continue l = S.index(L) r = S.index(R) if l == r: print(-1) exit() for i in range(l, r): st.update(S[i], B) for i in range(l, r): S.discard(S[l]) print(*st.X[N:])