Shortest Path (Unweighted, via BFS)

BFS explores a graph layer by layer, so the first time it reaches a vertex is along a shortest path. Track dist[v] and parent[v] while exploring, then walk parents back from the target to reconstruct the route.

Algorithm

On the canonical graph from graph-adjacency-list, the shortest path from 1 to 6 is [1 2 4 5 6] (space-separated) with distance 4. The path is rebuilt from parent: 6 -> 5 -> 4 -> 2 -> 1, reversed.

Basic Implementation

basic.go

package main

import "fmt"

func main() {
	adj := map[int][]int{
		1: {2, 3},
		2: {1, 4},
		3: {1, 4},
		4: {2, 3, 5},
		5: {4, 6},
		6: {5},
	}
	src := 1
	dst := 6
	dist := map[int]int{src: 0}
	parent := map[int]int{src: 0}
	queue := []int{src}
	for len(queue) > 0 {
		v := queue[0]
		queue = queue[1:]
		for _, nb := range adj[v] {
			if _, ok := dist[nb]; !ok {
				dist[nb] = dist[v] + 1
				parent[nb] = v
				queue = append(queue, nb)
			}
		}
	}
	path := []int{}
	for node := dst; node != 0; node = parent[node] {
		path = append(path, node)
	}
	for i, j := 0, len(path)-1; i < j; i, j = i+1, j-1 {
		path[i], path[j] = path[j], path[i]
	}
	fmt.Println(path)
	fmt.Println(dist[dst])
}

Complexity

Time: O(V + E)
Space: O(V)

Implementation notes

Go: a dist map doubles as the visited check, parent records predecessors (0 marks the source), and a slice index walks the queue.
The replay shows dist, parent, and the queue filling in, then the reconstructed path, matching the lesson spec.

layers equal distance BFS order equals distance in an unweighted graph.