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:
from heapq import heappush, heappop
import sys
input = sys.stdin.readline


# def dijkstra(graph: list, node: int, start: int) -> list:
#     # graph[node] = [(cost, to)]
#     INF = float('inf')
#     dist = [INF] * node
#
#     dist[start] = 0
#     heap = [(0, start)]
#     while heap:
#         cost, thisNode = heappop(heap)
#         for NextCost, NextNode in graph[thisNode]:
#             dist_cand = dist[thisNode] + NextCost
#             if dist_cand < dist[NextNode]:
#                 dist[NextNode] = dist_cand
#                 heappush(heap, (dist[NextNode], NextNode))
#     return dist
#     # dist = [costs to nodes]
def dijkstra(graph: list, n: int, v_s: int, INF: int = float('inf')) -> list:
    # graph[v_from] = [(cost, v_to), ...]
    dist = [INF] * n

    dist[v_s] = 0
    heap = [(0, v_s)]  # heap = [(dist[v], v), ...]
    while heap:
        _, v_from = heappop(heap)
        for cost, v_to in graph[v_from]:
            dist_cand = dist[v_from] + cost
            if dist_cand < dist[v_to]:
                dist[v_to] = dist_cand
                heappush(heap, (dist[v_to], v_to))
    return dist
    # dist = [costs to nodes]


n, m = map(int, input().split())
edge = [[] for _ in range(n)]
for _ in range(m):
    l, r, c = map(int, input().split())
    l -= 1
    r -= 1
    edge[l].append((c, r))
for i in range(1, n):
    edge[i].append((0, i - 1))

dist = dijkstra(edge, n, 0)
ans = dist[-1] if dist[-1] != float("inf") else -1

print(ans)