This pull request implements the solution for the problem "Check Arithmetic Subarrays" from LeetCode. The task is to verify if each subarray in the provided ranges can be rearranged to form an arithmetic sequence.
Fixes #1
Type of Change
[x] New feature (non-breaking change which adds functionality)
How Has This Been Tested?
This solution has been tested using various test cases provided by LeetCode, as well as additional custom cases to ensure the logic is sound.
[x] Test Case 1: Standard example cases provided in the problem.
[x] Test Case 2: Edge cases with very small arrays and edge boundaries.
Test Configuration:
Firmware version: N/A
Hardware: N/A
Toolchain: Python
SDK: N/A
Checklist:
[x] My code follows the style guidelines of this project
[x] I have performed a self-review of my own code
[x] I have commented my code, particularly in hard-to-understand areas
[x] My changes generate no new warnings
[x] I have added tests that prove my fix is effective or that my feature works
[x] New and existing unit tests pass locally with my changes
[x] Any dependent changes have been merged and published in downstream modules
Additional Information
This solution is efficient, sorting each subarray and then checking the arithmetic condition in O(k log k) time for each query, where k is the length of the subarray. This approach ensures that the time complexity is manageable within the problem's constraints.
Description
This pull request implements the solution for the problem "Check Arithmetic Subarrays" from LeetCode. The task is to verify if each subarray in the provided ranges can be rearranged to form an arithmetic sequence.
Fixes #1
Type of Change
How Has This Been Tested?
This solution has been tested using various test cases provided by LeetCode, as well as additional custom cases to ensure the logic is sound.
Test Configuration:
Checklist:
Additional Information
This solution is efficient, sorting each subarray and then checking the arithmetic condition in O(k log k) time for each query, where k is the length of the subarray. This approach ensures that the time complexity is manageable within the problem's constraints.