#jag2017autumni. [jag2017autumn_i]Revenge of the Endless BFS

[jag2017autumn_i]Revenge of the Endless BFS

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Problem Statement

Mr. Endo wanted to write the code that performs breadth-first search (BFS), which is a search algorithm to explore all vertices on a directed graph. An example of pseudo code of BFS is as follows:

1: currentleftarrowstart_vertexcurrent \\leftarrow \\{start\\\_vertex\\} 2: visitedleftarrowcurrentvisited \\leftarrow current 3: while visitednevisited \\ne the set of all the vertices 4: foundleftarrowfound \\leftarrow \\{\\} 5: for uu in currentcurrent 6: for each vv such that there is an edge from uu to vv 7: foundleftarrowfoundcupvfound \\leftarrow found \\cup \\{v\\} 8: currentleftarrowfoundsetminusvisitedcurrent \\leftarrow found \\setminus visited 9: visitedleftarrowvisitedcupfoundvisited \\leftarrow visited \\cup found

However, Mr. Endo apparently forgot to manage visited vertices in his code. More precisely, he wrote the following code:

1: currentleftarrowstart_vertexcurrent \\leftarrow \\{start\\\_vertex\\} 2: while currentnecurrent \\ne the set of all the vertices 3: foundleftarrowfound \\leftarrow \\{\\} 4: for uu in currentcurrent 5: for each vv such that there is an edge from uu to vv 6: foundleftarrowfoundcupvfound \\leftarrow found \\cup \\{v\\} 7: currentleftarrowfoundcurrent \\leftarrow found

You may notice that for some graphs, Mr. Endo's program will not stop because it keeps running infinitely. Notice that it does not necessarily mean the program cannot explore all the vertices within finite steps. Your task here is to make a program that determines whether Mr. Endo's program will stop within finite steps for a given directed graph in order to point out the bug to him. Also, calculate the minimum number of loop iterations required for the program to stop if it is finite. Since the answer might be huge, thus print the answer modulo 109+710^9 + 7, which is a prime number.


Input

The input consists of a single test case formatted as follows.

NN MM u_1u\_{1} v_1v\_{1} vdots\\vdots u_Mu\_{M} v_Mv\_{M}

The first line consists of two integers NN (2leNle5002 \\le N \\le 500) and MM (1leMle200,0001 \\le M \\le 200{,}000), where NN is the number of vertices and MM is the number of edges in a given directed graph, respectively. The ii-th line of the following MM lines consists of two integers u_iu\_{i} and v_iv\_{i} (1leu_i,v_ileN1 \\le u\_{i}, v\_{i} \\le N), which means there is an edge from u_iu\_{i} to v_iv\_{i} in the given graph. The vertex 11 is the start vertex, i.e. start_vertexstart\\\_vertex in the pseudo codes. You can assume that the given graph also meets the following conditions.

  • The graph has no self-loop, i.e., u_inev_iu\_{i} \\ne v\_{i} for all 1leileM1 \\le i \\le M.
  • The graph has no multi-edge, i.e., (u_i,v_i)ne(u_j,v_j)(u\_{i}, v\_{i}) \\ne (u\_{j}, v\_{j}) for all 1lei<jleM1 \\le i < j \\le M.
  • For each vertex vv, there is at least one path from the start vertex 11 to vv.

Output

If Mr. Endo's wrong BFS code cannot stop within finite steps for the given input directed graph, print -1 in a line. Otherwise, print the minimum number of loop iterations required to stop modulo 109+710^9 + 7.


Sample Input 1

4 4
1 2
2 3
3 4
4 1

Output for Sample Input 1

-1

Sample Input 2

4 5
1 2
2 3
3 4
4 1
1 3

Output for Sample Input 2

7

Sample Input 3

5 13
4 2
2 4
1 2
5 4
5 1
2 1
5 3
4 3
1 5
4 5
2 3
5 2
1 3

Output for Sample Input 3

3