What is the optimal time complexity of solving Daily Temperatures?

The optimized solution achieves a time complexity of O(n) by using sorting, mathematical shortcuts, or hash table lookups.

What is the auxiliary space complexity for Daily Temperatures?

The space complexity is O(1) since we only use a minimal/constant amount of extra memory for tracking variables (or auxiliary space if dynamic structures are allocated).

What are the typical edge cases we must handle in Daily Temperatures?

Key edge cases include empty collections, negative or large bounds causing integer overflow, arrays with only one element, or inputs where target criteria are not met.

How can we optimize the brute force approach for Daily Temperatures?

Brute force methods often inspect all possible combinations. We optimize this by sorting the input list to enable binary search, or tracking processed items in a set to avoid redundant nested loop lookups.

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Daily Temperatures

Learn how to solve the 'Daily Temperatures' problem. This detailed resource details brute force and optimized approaches.

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Problem Statement

Easy

Given an array of integers temperatures represents the daily temperatures, return an array answer such that answer[i] is the number of days you have to wait after the ith day to get a warmer temperature. If there is no future day for which this is possible, keep answer[i] == 0 instead.

Write a function dailyTemperatures(temperatures: List[int]) -> List[int].

Constraints

•1 <= len(temperatures) <= 10^5
•30 <= temperatures[i] <= 100

Examples

Example 1

Input

temperatures = [73, 74, 75, 71, 69, 72, 76, 73]

Output

[1, 1, 4, 2, 1, 1, 0, 0]

Explanation

Day 0 (73): next warmer is day 1 (74), wait 1 day. Day 2 (75): next warmer is day 6 (76), wait 4 days. Days 6 and 7 have no warmer future day.

Example 2

Input

temperatures = [30, 40, 50, 60]

Output

[1, 1, 1, 0]

Explanation

Each day except the last has a warmer day immediately after.

Example 3

Input

temperatures = [30, 60, 90]

Output

[1, 1, 0]

Explanation

Temperatures are strictly increasing except the last day.

Need a Hint?

Analyze the input constraints. Try sorting first (O(n log n)) or using a hash map/set to track seen elements in O(n) time.

Edge Cases to Watch

Empty list or null input variables
Single item lists/arrays
Extremely large input bounds causing integer or stack overflow

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