O(n log n) Sorting Algorithm | Dataford Interview Questions

PlayStation Network may need to order game download sizes before displaying them in a storage-management view. Implement a sorting algorithm that returns the sizes in ascending order without calling Python's built-in sorting functions.

Use merge sort or another comparison-based algorithm with guaranteed O(n log n) time complexity. The input list may be modified, but returning a new sorted list is also acceptable.

Formal Specification

Implement sort_download_sizes(sizes).

Input: sizes, a list of integers representing download sizes in gigabytes.
Output: A list containing the same integers as sizes, sorted in nondecreasing order.
Duplicate values must be preserved.
The algorithm must not use sorted() or list.sort().

Constraints

0 <= sizes.length <= 10^5
-10^9 <= sizes[i] <= 10^9
Do not use sorted() or list.sort()
The worst-case running time must be O(n log n)

Function Signature

def sort_download_sizes(sizes):

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