zoukankan      html  css  js  c++  java
  • 506. Relative Ranks

    Given scores of N athletes, find their relative ranks and the people with the top three highest scores, who will be awarded medals: "Gold Medal", "Silver Medal" and "Bronze Medal".

    Example 1:

    Input: [5, 4, 3, 2, 1]
    Output: ["Gold Medal", "Silver Medal", "Bronze Medal", "4", "5"]
    Explanation: The first three athletes got the top three highest scores, so they got "Gold Medal", "Silver Medal" and "Bronze Medal". 
    For the left two athletes, you just need to output their relative ranks according to their scores.

    Note:

    1. N is a positive integer and won't exceed 10,000.
    2. All the scores of athletes are guaranteed to be unique.  
    3.        

    这是我的代码:

    先用sort给所有运动员排序,然后使用map记录他们的分数和名次,最后替换就可以。

    class Solution {
    public:
        vector<string> findRelativeRanks(vector<int>& nums) {
            vector<int> tmp = nums;
            vector<string> ans;
            map<int,string> my_map;
            int n=1;
            sort(tmp.begin(),tmp.end());
            for(int i = tmp.size()-1; i >= 0; i--){
                my_map[tmp[i]] = to_string(n);
                n++;
            }
            my_map[tmp[tmp.size()-1]] = "Gold Medal";
            my_map[tmp[tmp.size()-2]] = "Silver Medal";
            my_map[tmp[tmp.size()-3]] = "Bronze Medal";
            for(auto &num : nums){
                ans.push_back(my_map[num]);
            }
            return ans;
        }
    };

     抄的python代码:

    class Solution(object):
        def findRelativeRanks(self, nums):
            sort = sorted(nums)[::-1] #将nums按从大到小排序
            
            #生成一个从大到小的list  Gold Medal", "Silver Medal", "Bronze Medal",“4”,“5”
            rank = ["Gold Medal", "Silver Medal", "Bronze Medal"] + list(map(str, range(4, len(nums) + 1)))
            
            #返回nums对应的排名
            return map(dict(zip(sort, rank)).get, nums)
            """
            :type nums: List[int]
            :rtype: List[str]
            """
  • 相关阅读:
    Kafka 高级API 实战
    CDH 5.16.1 离线安装 Spark 2.3
    CDH5.16.1 离线安装 Kafka
    CDH5.16.1新增节点
    mysql搭建主从结构
    Kerberos常见错误
    expect实现脚本的 自动交互
    寒假day27
    寒假day26
    寒假day25
  • 原文地址:https://www.cnblogs.com/hutonm/p/6528929.html
Copyright © 2011-2022 走看看