Breadth-First Search
Problem Statement
Implement breadth-first search in an undirected graph.
During the traversal, always select the smallest unvisited vertex as the next one.
Input
Your first line will contain v and e as space-separated integers. v represents the number of vertices in the graph, labelled from 0 to v−1, and e represents the number of edges in the graph.
Your next line will contain s, the source vertex to start the DFS from.
Your next e lines will contain 2 space-separated numbers, specifying that there is an edge between the two specified vertices.
Output
The BFS traversal, separated by line breaks.
Constraints
For all test cases:
- 2≤v≤103
- 0≤s≤v−1
- 1≤e≤106
Example 1
6 5
0
0 1
0 2
1 3
1 4
2 5
0
1
2
3
4
5
Python Template
v, e = map(int, input().split())
s = input()
edges = [tuple(map(int, input().split(" "))) for _ in range(e)]
# print(...)
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