前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >LWC 61:739. Daily Temperatures

LWC 61:739. Daily Temperatures

作者头像
用户1147447
发布2018-01-02 11:00:31
4300
发布2018-01-02 11:00:31
举报
文章被收录于专栏:机器学习入门

LWC 61:739. Daily Temperatures

传送门:739. Daily Temperatures

Problem:

Given a list of daily temperatures, produce a list that, for each day in the input, tells you how many days you would have to wait until a warmer temperature. If there is no future day for which this is possible, put 0 instead. For example, given the list temperatures = [73, 74, 75, 71, 69, 72, 76, 73], your output should be [1, 1, 4, 2, 1, 1, 0, 0].

Note:

The length of temperatures will be in the range [1, 30000]. Each temperature will be an integer in the range [30, 100].

思路: 求出当前元素的第一个大于它的位置即可,所以该问题就是nextGreaterElement系列,具体参考博文【 算法细节系列(10):503. Next Greater Element II

Java版本:

代码语言:javascript
复制
    public int[] dailyTemperatures(int[] temperatures) {
        int n = temperatures.length;
        int[] ans = new int[n];

        Stack<Integer> stack = new Stack<>();
        Map<Integer, Integer> mem = new HashMap<>();
        for (int i = 0; i < n; ++i) {
            while (!stack.isEmpty() && temperatures[stack.peek()] < temperatures[i]) {
                int nxt = stack.pop();
                mem.put(nxt, i);
            }
            stack.push(i);
        }

        for (int i = 0; i < n; ++i) {
            if (mem.containsKey(i)) {
                ans[i] = mem.get(i) - i;
            }
            else ans[i] = 0;
        }

        return ans;
    }

Python 版本:

代码语言:javascript
复制
    def dailyTemperatures(self, temperatures):
        """
        :type temperatures: List[int]
        :rtype: List[int]
        """
        n = len(temperatures)
        stack = []
        map = {}

        ans = [0] * n
        for i in range(n):
            while (len(stack) > 0 and temperatures[stack[-1]] < temperatures[i]):
                nxt = stack.pop(-1)
                ans[nxt] = i - nxt
            stack.append(i)

        return ans  
本文参与 腾讯云自媒体同步曝光计划,分享自作者个人站点/博客。
原始发表:2017-12-04 ,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体同步曝光计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
目录
  • LWC 61:739. Daily Temperatures
领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档