Problem: We have N points numbered 1 to N arranged in a line in this order.

Takahashi decides to make an undirected graph, using these points as the vertices. In the beginning, the graph has no edge. Takahashi will do M operations to add edges in this graph. The i-th operation is as follows:

* The operation uses integers L_i and R_i between 1 and N (inclusive), and a positive integer C_i. For every pair of integers (s, t) such that L_i \leq s < t \leq R_i, add an edge of length C_i between Vertex s and Vertex t.



The integers L_1, ..., L_M, R_1, ..., R_M, C_1, ..., C_M are all given as input.

Takahashi wants to solve the shortest path problem in the final graph obtained. Find the length of the shortest path from Vertex 1 to Vertex N in the final graph.

Constraints

* 2 \leq N \leq 10^5
* 1 \leq M \leq 10^5
* 1 \leq L_i < R_i \leq N
* 1 \leq C_i \leq 10^9

Input

Input is given from Standard Input in the following format:


N M
L_1 R_1 C_1
:
L_M R_M C_M


Output

Print the length of the shortest path from Vertex 1 to Vertex N in the final graph. If there is no shortest path, print `-1` instead.

Examples

Input

4 3
1 3 2
2 4 3
1 4 6


Output

5


Input

4 2
1 2 1
3 4 2


Output

-1


Input

10 7
1 5 18
3 4 8
1 3 5
4 7 10
5 9 8
6 10 5
8 10 3


Output

28

Solution (in PYTHON3):

Solution:
import sys
import heapq
from collections import defaultdict
input = sys.stdin.readline
inf = 10**18 #つまずきポイントその２（10 ** 10にしてた）



def dijkstra(repn, start, goal):
    dist = [inf for i in range(N + 1)] # 始点から各頂点までの最短距離を格納する
    
    dist[start] = 0
    q = []                  # プライオリティキュー．各要素は，(startからある頂点vまでの仮の距離, 頂点vのID)からなるタプル
    heapq.heappush(q, (0, start)) # 始点をpush

    while q:
        prov_cost, src = heapq.heappop(q) # pop
        
        # プライオリティキューに格納されている最短距離が，現在計算できている最短距離より大きければ，distの更新をする必要はない
        if dist[src] < prov_cost:
            continue

        # 他の頂点の探索
        for dest in repn[src]:
            cost = repn[src][dest]
            if dist[dest] > dist[src] + cost:
                dist[dest] = dist[src] + cost # distの更新
                heapq.heappush(q, (dist[dest], dest)) # キューに新たな仮の距離の情報をpush
                
    return dist[goal]
        



N, M = map(int, input().split())
repn = [defaultdict(list) for _ in range(N + 1)]
for i in range(2, N + 1):
    repn[i][i - 1] = 0
for _ in range(M):
    l, r, c = map(int, input().split())
    if repn[l][r] == [] or repn[l][r] > c: #つまずきポイントその１
        repn[l][r] = c

d = dijkstra(repn, 1, N)

if d == inf:
    print(-1)
else:
    print(d)