Hot Function Profiling | Dataford Interview Questions

Walk me through profiling and optimizing a hot function.

Implement an optimized version of the function below. Given a list of integers, return the sum of the squares of distinct values, preserving no ordering requirement. Explain which profiling evidence would justify the optimization and provide the function implementation.

Function: sum_unique_squares(nums)

Input: A list of integers. Output: An integer equal to the sum of each distinct value squared.

Constraints

0 <= nums.length <= 100000
-1000000000 <= nums[i] <= 1000000000
The result fits within Python's integer range
Input order does not affect the output

Function Signature

def sum_unique_squares(nums):

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