#include <functional> #include <queue> #include <string> #include <unordered_map> #include <utility> #include <vector> class Solution { public: /** * return topK string * @param strings string字符串vector strings * @param k int整型 the k * @return string字符串vector<vector<>> */ vector<vector<string> > topKstrings(vector<string>& strings, int k) { function<bool(pair<string, int> &, pair<string, int> &)> cmp = [](pair<string, int> &a, pair<string, int> &b) -> bool { return a.second < b.second || a.second == b.second && a.first > b.first; }; priority_queue<pair<string, int>, vector<pair<string, int> >, decltype(cmp)> pq(cmp); unordered_map<string, int> hash; for (auto &s: strings) { ++hash[s]; } for (auto &item: hash) { pq.push(item); } vector<vector<string> > res; for (int i = 0; i < k; ++i) { if (pq.empty()) { return {}; } res.push_back({pq.top().first, to_string(pq.top().second)}); pq.pop(); } return res; } };
思路:topK一般用优先队列/堆。
先统计出字符串与其频数,然后通过自定义排序的优先队列解决即可。