lc-332

给你一份航线列表 tickets ，其中 tickets[i] = [fromi, toi] 表示飞机出发和降落的机场地点。请你对该行程进行重新规划排序。

所有这些机票都属于一个从 JFK（肯尼迪国际机场）出发的先生，所以该行程必须从 JFK 开始。如果存在多种有效的行程，请你按字典排序返回最小的行程组合。

• 例如，行程 ["JFK", "LGA"] 与 ["JFK", "LGB"] 相比就更小，排序更靠前。

假定所有机票至少存在一种合理的行程。且所有的机票 必须都用一次 且 只能用一次。

示例 1：

输入：tickets = [["MUC","LHR"],["JFK","MUC"],["SFO","SJC"],["LHR","SFO"]]
输出：["JFK","MUC","LHR","SFO","SJC"]

示例 2：

输入：tickets = [["JFK","SFO"],["JFK","ATL"],["SFO","ATL"],["ATL","JFK"],["ATL","SFO"]]
输出：["JFK","ATL","JFK","SFO","ATL","SFO"]
解释：另一种有效的行程是 ["JFK","SFO","ATL","JFK","ATL","SFO"] ，但是它字典排序更大更靠后。

提示：

• 1 <= tickets.length <= 300
• tickets[i].length == 2
• fromi.length == 3
• toi.length == 3
• fromi 和 toi 由大写英文字母组成
• fromi != toi

//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
    Map<String, PriorityQueue<String>> map = new HashMap<String, PriorityQueue<String>>();
    List<String> itinerary = new LinkedList<String>();

    public List<String> findItinerary(List<List<String>> tickets) {
        for (List<String> ticket : tickets) {
            String src = ticket.get(0), dst = ticket.get(1);
            if (!map.containsKey(src)) {
                map.put(src, new PriorityQueue<String>());
            }
            map.get(src).offer(dst);
        }
        dfs("JFK");
        Collections.reverse(itinerary);
        return itinerary;
    }

    public void dfs(String curr) {
        while (map.containsKey(curr) && map.get(curr).size() > 0) {
            String tmp = map.get(curr).poll();
            dfs(tmp);
        }
        itinerary.add(curr);
    }
}

//leetcode submit region end(Prohibit modification and deletion)