CF444A.DZY Loves Physics

普及/提高-

通过率:0%

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题目描述

DZY loves Physics, and he enjoys calculating density.

Almost everything has density, even a graph. We define the density of a non-directed graph (nodes and edges of the graph have some values) as follows:

where vv is the sum of the values of the nodes, ee is the sum of the values of the edges.Once DZY got a graph GG , now he wants to find a connected induced subgraph GG' of the graph, such that the density of GG' is as large as possible.

An induced subgraph G(V,E)G'(V',E') of a graph G(V,E)G(V,E) is a graph that satisfies:

  • ;
  • edge if and only if , and edge ;
  • the value of an edge in GG' is the same as the value of the corresponding edge in GG , so as the value of a node.

Help DZY to find the induced subgraph with maximum density. Note that the induced subgraph you choose must be connected.

输入格式

The first line contains two space-separated integers n (1<=n<=500)n (1<=n<=500) , . Integer nn represents the number of nodes of the graph GG , mm represents the number of edges.

The second line contains nn space-separated integers xi (1<=xi<=106)x_{i} (1<=x_{i}<=10^{6}) , where xix_{i} represents the value of the ii -th node. Consider the graph nodes are numbered from 11 to nn .

Each of the next mm lines contains three space-separated integers a_{i},b_{i},c_{i} (1<=a_{i}<b_{i}<=n; 1<=c_{i}<=10^{3}) , denoting an edge between node aia_{i} and bib_{i} with value cic_{i} . The graph won't contain multiple edges.

输出格式

Output a real number denoting the answer, with an absolute or relative error of at most 10910^{-9} .

输入输出样例

  • 输入#1

    1 0
    1
    

    输出#1

    0.000000000000000
    
  • 输入#2

    2 1
    1 2
    1 2 1
    

    输出#2

    3.000000000000000
    
  • 输入#3

    5 6
    13 56 73 98 17
    1 2 56
    1 3 29
    1 4 42
    2 3 95
    2 4 88
    3 4 63
    

    输出#3

    2.965517241379311
    

说明/提示

In the first sample, you can only choose an empty subgraph, or the subgraph containing only node 11 .

In the second sample, choosing the whole graph is optimal.

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