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v/examples/graphs/bfs.v

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fn main() {
graph := {
'A': ['B', 'C']
'B': ['A', 'D', 'E']
'C': ['A', 'F']
'D': ['B']
'E': ['B', 'F']
'F': ['C', 'E']
}
println('Graph: ${graph}')
path := breadth_first_search_path(graph, 'A', 'F')
println('The shortest path from node A to node F is: ${path}')
assert path == ['A', 'C', 'F']
}
// Breadth-First Search (BFS) allows you to find the shortest distance between two nodes in the graph.
fn breadth_first_search_path(graph map[string][]string, vertex string, target string) []string {
mut path := []string{}
mut visited := []string{init: vertex}
mut queue := [][][]string{}
queue << [[vertex], path]
for queue.len > 0 {
mut idx := queue.len - 1
node := queue[idx][0][0]
path = queue[idx][1]
queue.delete(idx)
if node == target {
path << node
return path
}
for child in graph[node] {
mut tmp := path.clone()
if child !in visited {
visited << child
tmp << node
queue << [[child], tmp]
}
}
}
return path
}