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Algorithmic Complexity Refactoring

#programming #optimization #algorithms

A prompt for analyzing code time-space complexity and suggesting advanced optimizations.

Analyze the provided code snippet. First, determine the current Time and Space complexity using Big O notation. Identify specific lines or blocks that contribute most to the computational cost. Then, propose a refactored version of the code that optimizes for efficiency. Explain the trade-offs of your suggested changes (e.g., readability vs. performance) and provide the refactored code in a clean, executable format.