
题目描述
给你一个有 n 个节点的 有向无环图(DAG),请你找出从节点 0 到节点 n-1 的所有路径并输出(不要求按特定顺序)
 graph[i] 是一个从节点 i 可以访问的所有节点的列表(即从节点 i 到节点 graph[i][j]存在一条有向边)。
 
示例 1:

输入:graph = [[1,2],[3],[3],[]]
输出:[[0,1,3],[0,2,3]]
解释:有两条路径 0 -> 1 -> 3 和 0 -> 2 -> 3
示例 2:

输入:graph = [[4,3,1],[3,2,4],[3],[4],[]]
输出:[[0,4],[0,3,4],[0,1,3,4],[0,1,2,3,4],[0,1,4]]
 
提示:
    n == graph.length 
    2 <= n <= 15 
    0 <= graph[i][j] < n 
    graph[i][j] != i(即不存在自环) 
    graph[i] 中的所有元素 互不相同 
    - 保证输入为 有向无环图(DAG)
 
 
解法
方法一
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14  | class Solution:
    def allPathsSourceTarget(self, graph: List[List[int]]) -> List[List[int]]:
        n = len(graph)
        q = deque([[0]])
        ans = []
        while q:
            path = q.popleft()
            u = path[-1]
            if u == n - 1:
                ans.append(path)
                continue
            for v in graph[u]:
                q.append(path + [v])
        return ans
  | 
 
 
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22  | class Solution {
    public List<List<Integer>> allPathsSourceTarget(int[][] graph) {
        int n = graph.length;
        Queue<List<Integer>> queue = new ArrayDeque<>();
        queue.offer(Arrays.asList(0));
        List<List<Integer>> ans = new ArrayList<>();
        while (!queue.isEmpty()) {
            List<Integer> path = queue.poll();
            int u = path.get(path.size() - 1);
            if (u == n - 1) {
                ans.add(path);
                continue;
            }
            for (int v : graph[u]) {
                List<Integer> next = new ArrayList<>(path);
                next.add(v);
                queue.offer(next);
            }
        }
        return ans;
    }
}
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25  | class Solution {
public:
    vector<vector<int>> graph;
    vector<vector<int>> ans;
    vector<vector<int>> allPathsSourceTarget(vector<vector<int>>& graph) {
        this->graph = graph;
        vector<int> path;
        path.push_back(0);
        dfs(0, path);
        return ans;
    }
    void dfs(int i, vector<int> path) {
        if (i == graph.size() - 1) {
            ans.push_back(path);
            return;
        }
        for (int j : graph[i]) {
            path.push_back(j);
            dfs(j, path);
            path.pop_back();
        }
    }
};
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21  | func allPathsSourceTarget(graph [][]int) [][]int {
    var path []int
    path = append(path, 0)
    var ans [][]int
    var dfs func(i int)
    dfs = func(i int) {
        if i == len(graph)-1 {
            ans = append(ans, append([]int(nil), path...))
            return
        }
        for _, j := range graph[i] {
            path = append(path, j)
            dfs(j)
            path = path[:len(path)-1]
        }
    }
    dfs(0)
    return ans
}
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18  | impl Solution {
    fn dfs(i: usize, path: &mut Vec<i32>, res: &mut Vec<Vec<i32>>, graph: &Vec<Vec<i32>>) {
        path.push(i as i32);
        if i == graph.len() - 1 {
            res.push(path.clone());
        }
        for j in graph[i].iter() {
            Self::dfs(*j as usize, path, res, graph);
        }
        path.pop();
    }
    pub fn all_paths_source_target(graph: Vec<Vec<i32>>) -> Vec<Vec<i32>> {
        let mut res = Vec::new();
        Self::dfs(0, &mut vec![], &mut res, &graph);
        res
    }
}
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24  | /**
 * @param {number[][]} graph
 * @return {number[][]}
 */
var allPathsSourceTarget = function (graph) {
    const ans = [];
    const t = [0];
    const dfs = t => {
        const cur = t[t.length - 1];
        if (cur == graph.length - 1) {
            ans.push([...t]);
            return;
        }
        for (const v of graph[cur]) {
            t.push(v);
            dfs(t);
            t.pop();
        }
    };
    dfs(t);
    return ans;
};
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21  | function allPathsSourceTarget(graph: number[][]): number[][] {
    const ans: number[][] = [];
    const dfs = (path: number[]) => {
        const curr = path.at(-1)!;
        if (curr === graph.length - 1) {
            ans.push([...path]);
            return;
        }
        for (const v of graph[curr]) {
            path.push(v);
            dfs(path);
            path.pop();
        }
    };
    dfs([0]);
    return ans;
}
  | 
 
 
 
 
方法二