⚡ [perf] Optimize factor loop to O(sqrt(N)) in Solution.py#42
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Co-authored-by: ManupaKDU <95234271+ManupaKDU@users.noreply.github.com>
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💡 What: Modified$O(N)$ time. This optimization reduces the algorithmic complexity to $O(\sqrt{N})$ , drastically speeding up the execution.
Solution.pyto check for factors only up to the square root of the target number (while number * number <= target). When a small factor is found, its corresponding large factor (target // number) is stored and printed in reverse order later, maintaining identical output.🎯 Why: The previous logic looped all the way up to
8462696833, which executes in📊 Measured Improvement: In a benchmark run with a smaller target of
10,000,000, the original O(N) script took1.045433s, while the optimized O(√N) version completed in0.000481s. This yields a massive 2172x speedup. For the actual target of8,462,696,833, the previous approach would have taken significantly longer, but now it returns the results almost instantaneously.PR created automatically by Jules for task 14845801883588724594 started by @ManupaKDU