[LeetCode269]Alien Dictionary

There is a new alien language which uses the latin alphabet. However, the order among letters are unknown to you. You receive a list of words from the dictionary, where words are sorted lexicographically by the rules of this new language. Derive the order of letters in this language.

For example,
Given the following words in dictionary,
[
  "wrt",
  "wrf",
  "er",
  "ett",
  "rftt"
]
The correct order is: "wertf".

Note:
    You may assume all letters are in lowercase.
    If the order is invalid, return an empty string.
    There may be multiple valid order of letters, return any one of them is fine.
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提示是topological sort。利用topological sort can find directed acyclic graph's order that’s why this question can be solved by it.

讀題後發現,給我們的dictionary 是sorted by lexicographically according to new alien rules.所以第一排的order都在第二排之前。每一排前面的都在後面的之前。

於是可以把每個char看作node,第一步我們要做的就是把每一排connect。比如wrt to wrf, we only need to add a directed path from t to f.

所以利用BFS把node都放進map裏,然後計算每個點的indegree, 然後找order。

比如make graph 完我沒有了如下的圖:
directed graph w/o cycle

該圖的indegree:
這裏寫圖片描述

code 如下:

class Solution {
public:
    string alienOrder(vector<string>& words) {
        if(words.size() == 1) return words[0];
        graph g = makeGraph(words);
        unordered_map<char, int> indegree = computeIndegree(g);
        string res;
        queue<char> toVisit;
        int charNumb = indegree.size();
        //find root!
        for(auto neigh : indegree) {
            if (!neigh.second) {
                toVisit.push(neigh.first);
            }
        }
        for(int i = 0; i<charNumb; ++i){
            if(toVisit.empty()) return "";// the graph is not connected
            char c = toVisit.front();
            toVisit.pop();
            res += c;
            for(auto neigh : g[c]){
                if(!--indegree[neigh]) toVisit.push(neigh);
            }
        }
        return res;
    }
private:
    typedef unordered_map<char, unordered_set<char>> graph;
    graph makeGraph(vector<string>& words){
        graph g;
        size_t n = words.size();
        for (int i = 1; i<n; ++i) {
            string word1 = words[i-1], word2 = words[i];
            size_t l1 = word1.size(), l2 = word2.size();
            int l = max(l1, l2);
            bool found = false;
            for (int j = 0; j < l; ++j) {
                if(j < l1 && g.find(word1[j]) == g.end()) g[word1[j]] = unordered_set<char>();
                if(j < l2 && g.find(word2[j]) == g.end()) g[word2[j]] = unordered_set<char>();
                if(j < l1 && j < l2 && word1[j] != word2[j] && !found){
                    g[word1[j]].insert(word2[j]);
                    found = true;
                }
            }
        }
        return g;
    }
    unordered_map<char, int> computeIndegree(graph& gra){
        unordered_map<char, int> indegree(gra.size());
        for(auto& g : gra){
            if(indegree.find(g.first) == indegree.end()) indegree[g.first] = 0;
            // if (indegree[g.first] == 0) {};//to make sure that a node with 0 indegree will not be left out.
            for(char neigh : g.second) ++indegree[neigh];
        }
        return indegree;
    }
};
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