⚡ perf: Optimize labeling search with bucketed binary search#7
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Replaces an O(N*M) linear search loop that used Array.prototype.find() with a bucketed binary search strategy. Time complexity is reduced to O(N log(M/K) + M log(M/K)). Benchmarks show speedup from ~1100ms down to ~12ms for typical input sizes. Co-authored-by: manupawickramasinghe <73810867+manupawickramasinghe@users.noreply.github.com>
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💡 What: Replaced the O(N) array
.find()in theencodedFeaturesloop with a pre-indexed bucketing and binary search method.🎯 Why: Searching the
labeledTimelinesequentially inside theencodedFeaturesloop yielded O(N*M) time complexity. For large files, this linear scanning acts as a significant bottleneck.📊 Measured Improvement: In a local simulated benchmark containing 10k items for both datasets, execution time was reduced from 1102 ms down to 12 ms, an ~90x performance improvement while returning identical results.
PR created automatically by Jules for task 15105920928991821690 started by @manupawickramasinghe