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| 1 | +// Source : https://leetcode.com/problems/reconstruct-itinerary/ |
| 2 | +// Author : Hao Chen |
| 3 | +// Date : 2017-01-06 |
| 4 | + |
| 5 | +/*************************************************************************************** |
| 6 | + * |
| 7 | + * Given a list of airline tickets represented by pairs of departure and arrival |
| 8 | + * airports [from, to], reconstruct the itinerary in order. All of the tickets belong |
| 9 | + * to a man who departs from JFK. Thus, the itinerary must begin with JFK. |
| 10 | + * |
| 11 | + * Note: |
| 12 | + * |
| 13 | + * If there are multiple valid itineraries, you should return the itinerary that has |
| 14 | + * the smallest lexical order when read as a single string. For example, the itinerary |
| 15 | + * ["JFK", "LGA"] has a smaller lexical order than ["JFK", "LGB"]. |
| 16 | + * All airports are represented by three capital letters (IATA code). |
| 17 | + * You may assume all tickets form at least one valid itinerary. |
| 18 | + * |
| 19 | + * Example 1: |
| 20 | + * tickets = [["MUC", "LHR"], ["JFK", "MUC"], ["SFO", "SJC"], ["LHR", "SFO"]] |
| 21 | + * Return ["JFK", "MUC", "LHR", "SFO", "SJC"]. |
| 22 | + * |
| 23 | + * Example 2: |
| 24 | + * tickets = [["JFK","SFO"],["JFK","ATL"],["SFO","ATL"],["ATL","JFK"],["ATL","SFO"]] |
| 25 | + * Return ["JFK","ATL","JFK","SFO","ATL","SFO"]. |
| 26 | + * Another possible reconstruction is ["JFK","SFO","ATL","JFK","ATL","SFO"]. But it |
| 27 | + * is larger in lexical order. |
| 28 | + * |
| 29 | + * Credits:Special thanks to @dietpepsi for adding this problem and creating all test |
| 30 | + * cases. |
| 31 | + ***************************************************************************************/ |
| 32 | + |
| 33 | +/* |
| 34 | + This problem's description really confuse me. |
| 35 | + |
| 36 | + for examples: |
| 37 | + 1) [["JFK", "PEK"], ["JFK", "SHA"], ["SHA", "JFK"]], which has two itineraries: |
| 38 | + a) JFK -> PEK, |
| 39 | + b) JFK -> SHA -> JFK -> PEK |
| 40 | + The a) is smaller than b), because PEK < SHA, however the b) is correct answer. |
| 41 | + So, it means we need use all of tickets. |
| 42 | + |
| 43 | + 2) [["JFK", "PEK"], ["JFK", "SHA"]], which also has two itineraries: |
| 44 | + a) JFK -> PEK |
| 45 | + b) JFK -> SHA |
| 46 | + for my understanding, the JFK -> SHA is the correct one, |
| 47 | + however, the correct answer is JFK -> SHA -> PEK. |
| 48 | + I don't understand, why the correct answer is not JFK -> PEK -> SHA |
| 49 | + That really does not make sense to me. |
| 50 | + |
| 51 | + All right, we need assume all of the tickets can be connected in one itinerary. |
| 52 | + Then, it's easy to have a DFS algorithm. |
| 53 | +*/ |
| 54 | + |
| 55 | + |
| 56 | +class Solution { |
| 57 | +public: |
| 58 | + //DFS |
| 59 | + void travel(string& start, unordered_map<string, multiset<string>>& map, vector<string>& result) { |
| 60 | + while (map[start].size() > 0 ) { |
| 61 | + string next = *(map[start].begin()); |
| 62 | + map[start].erase(map[start].begin()); |
| 63 | + travel(next, map, result); |
| 64 | + } |
| 65 | + result.insert(result.begin(), start); |
| 66 | + } |
| 67 | + |
| 68 | + vector<string> findItinerary(vector<pair<string, string>> tickets) { |
| 69 | + unordered_map<string, multiset<string>> map; |
| 70 | + for(auto t : tickets) { |
| 71 | + map[t.first].insert(t.second); |
| 72 | + } |
| 73 | + vector<string> result; |
| 74 | + string start = "JFK"; |
| 75 | + travel(start, map, result); |
| 76 | + return result; |
| 77 | + } |
| 78 | +}; |
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