#D10267. Walking on a Tree
Walking on a Tree
Walking on a Tree
Takahashi loves walking on a tree. The tree where Takahashi walks has N vertices numbered 1 through N. The i-th of the N-1 edges connects Vertex a_i and Vertex b_i.
Takahashi has scheduled M walks. The i-th walk is done as follows:
- The walk involves two vertices u_i and v_i that are fixed beforehand.
- Takahashi will walk from u_i to v_i or from v_i to u_i along the shortest path.
The happiness gained from the i-th walk is defined as follows:
- The happiness gained is the number of the edges traversed during the i-th walk that satisfies one of the following conditions:
- In the previous walks, the edge has never been traversed.
- In the previous walks, the edge has only been traversed in the direction opposite to the direction taken in the i-th walk.
Takahashi would like to decide the direction of each walk so that the total happiness gained from the M walks is maximized. Find the maximum total happiness that can be gained, and one specific way to choose the directions of the walks that maximizes the total happiness.
Constraints
- 1 ≤ N,M ≤ 2000
- 1 ≤ a_i , b_i ≤ N
- 1 ≤ u_i , v_i ≤ N
- a_i \neq b_i
- u_i \neq v_i
- The graph given as input is a tree.
Input
Input is given from Standard Input in the following format:
N M a_1 b_1 : a_{N-1} b_{N-1} u_1 v_1 : u_M v_M
Output
Print the maximum total happiness T that can be gained, and one specific way to choose the directions of the walks that maximizes the total happiness, in the following format:
T u^'_1 v^'_1 : u^'_M v^'_M
where (u^'_i,v^'_i) is either (u_i,v_i) or (v_i,u_i), which means that the i-th walk is from vertex u^'_i to v^'_i.
Examples
Input
4 3 2 1 3 1 4 1 2 3 3 4 4 2
Output
6 2 3 3 4 4 2
Input
5 3 1 2 1 3 3 4 3 5 2 4 3 5 1 5
Output
6 2 4 3 5 5 1
Input
6 4 1 2 2 3 1 4 4 5 4 6 2 4 3 6 5 6 4 5
Output
9 2 4 6 3 5 6 4 5
inputFormat
input is a tree.
Input
Input is given from Standard Input in the following format:
N M a_1 b_1 : a_{N-1} b_{N-1} u_1 v_1 : u_M v_M
outputFormat
Output
Print the maximum total happiness T that can be gained, and one specific way to choose the directions of the walks that maximizes the total happiness, in the following format:
T u^'_1 v^'_1 : u^'_M v^'_M
where (u^'_i,v^'_i) is either (u_i,v_i) or (v_i,u_i), which means that the i-th walk is from vertex u^'_i to v^'_i.
Examples
Input
4 3 2 1 3 1 4 1 2 3 3 4 4 2
Output
6 2 3 3 4 4 2
Input
5 3 1 2 1 3 3 4 3 5 2 4 3 5 1 5
Output
6 2 4 3 5 5 1
Input
6 4 1 2 2 3 1 4 4 5 4 6 2 4 3 6 5 6 4 5
Output
9 2 4 6 3 5 6 4 5
样例
5 3
1 2
1 3
3 4
3 5
2 4
3 5
1 5
6
2 4
3 5
5 1
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