HIGHWAYS - Highways

A number of cities are connected by a network of highways. Each highway is bidirectional and connects two cities, with a given travel time. What is the shortest time to get from a given city to another given city?

Input

The first line of input contains the number of test cases.

Each test case starts with a line containing the number of cities n (2 ≤ n ≤ 100000), the number of highways m (1 ≤ m ≤ 100000), the starting city and the ending city. Cities are numbered from 1 to n.

Then m lines follow, each describing one highway. The description consists of the two distinct city numbers and the time in minutes to travel along the highway. The time will be between 1 and 1000.

Output

For each test case output a single line containing the minimum time it takes to get from the start to the destination. If no connection exists, output NONE.

Example

Input:
2
4 2 1 4
1 2 5
3 4 5
4 4 1 4
1 2 5
2 3 5
3 4 5
4 2 6

Output:
NONE
11

Added by:Daniel Gómez Didier
Date:2008-11-18
Time limit:1s
Source limit:50000B
Memory limit:1536MB
Cluster: Cube (Intel G860)
Languages:All except: ERL JS-RHINO NODEJS PERL6 VB.NET
Resource:Circuito de Maratones ACIS / REDIS

hide comments
2016-08-21 19:48:16
Straight-forward Dijkstra's algorithm
2016-08-20 21:09:26
can be solved by kruskal, so mst tag
2016-07-08 20:18:11
@admin, Please correct the tag. This question is on dijkstra. Not MST.
2016-07-08 12:47:39
stl rocks!!
2016-06-10 05:33:11
Only accepted in python 3.4!!
If using python 3.4 use heappop, heappush dont use priority queue
2016-06-03 14:11:50 vijay kumar paliwal
Learnt Dijkstra with priority queue.. first problem solved using priority queue!
Made my day :)
2016-04-15 11:22:29 Ray Brish Bhanu
for edges take structure not pair..caused me several tle
2015-12-05 21:03:34 vedang
Not MST, but Dijkstra!
2015-10-19 15:27:59 kartikay singh
Djikstra + priority_queues
AC 0.05s

Last edit: 2015-10-19 15:28:23
2015-09-26 00:11:35 sarvagya
Djikstra with sets -> 0.05s
with priority_queue -> 0.04s
priority_queues are faster .
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