LeetCode 739. Daily Temperatures
原题链接在这里:https://leetcode.com/problems/daily-temperatures/
题目:
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]
.
题解:
Stack<Integer> stk里存index, 若当前temperature 更高, 就一直pop出来index, 计算天数差值保存.
最后stk中剩余的index说明这些位置上没有更加暖和的天气, 存0.
Time Complexity: O(n). n = T.length.
Space: O(n).
AC Java:
1 class Solution { 2 public int[] dailyTemperatures(int[] T) { 3 if(T == null || T.length == 0){ 4 return T; 5 } 6 7 int len = T.length; 8 int [] res = new int[len]; 9 Stack<Integer> stk = new Stack<Integer>(); 10 for(int i = len-1; i>=0; i--){ 11 while(!stk.isEmpty() && T[i]>=T[stk.peek()]){ 12 stk.pop(); 13 } 14 15 res[i] = stk.isEmpty() ? 0 : stk.peek()-i; 16 17 stk.push(i); 18 } 19 20 return res; 21 } 22 }
We could also iterate from left to right. Form a monotonic increasing stack.
When we hit a bigger number, for all the popped indices, we hit a warmer day now.
Time Complexity: O(n). n = temperatures.size().
Space: O(n).
AC Java:
1 class Solution { 2 public int[] dailyTemperatures(int[] temperatures) { 3 if(temperatures == null || temperatures.length == 0){ 4 return temperatures; 5 } 6 7 int n = temperatures.length; 8 Stack<Integer> stk = new Stack<>(); 9 int [] res = new int[n]; 10 for(int i = 0; i < n; i++){ 11 while(!stk.isEmpty() && temperatures[stk.peek()] < temperatures[i]){ 12 int ind = stk.pop(); 13 res[ind] = i - ind; 14 } 15 16 stk.push(i); 17 } 18 19 return res; 20 } 21 }
AC C++:
1 class Solution { 2 public: 3 vector<int> dailyTemperatures(vector<int>& temperatures) { 4 int n = temperatures.size(); 5 vector<int> res(n, 0); 6 stack<int> stk; 7 for(int i = 0; i < n; i++){ 8 while(!stk.empty() && temperatures[stk.top()] < temperatures[i]){ 9 int top = stk.top(); 10 stk.pop(); 11 res[top] = i - top; 12 } 13 14 stk.push(i); 15 } 16 17 return res; 18 } 19 };
AC Python:
1 class Solution: 2 def dailyTemperatures(self, temperatures: List[int]) -> List[int]: 3 n = len(temperatures) 4 stk = [] 5 res = [0] * n 6 for i in range(n): 7 while stk and temperatures[stk[-1]] < temperatures[i]: 8 top = stk.pop() 9 res[top] = i - top 10 stk.append(i) 11 return res
类似Online Stock Span, Next Greater Element I, Minimum Cost Tree From Leaf Values.