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⚡ Optimize array allocation in Heatmap component#6

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perf/heatmap-maxfreq-optimization-10778604892225508683
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⚡ Optimize array allocation in Heatmap component#6
artosien wants to merge 1 commit intomainfrom
perf/heatmap-maxfreq-optimization-10778604892225508683

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@artosien
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💡 What: Replaced the array map and spread operation (Math.max(...numbers.map(n => n.frequency), 1)) with a reduce function (numbers.reduce((max, n) => Math.max(max, n.frequency), 1)).

🎯 Why: The original code created an entirely new intermediate array of frequencies and then passed them all via the spread operator to Math.max. This caused unnecessary memory allocation and could potentially cause a "Maximum call stack size exceeded" error if the numbers array was extremely large. The reduce approach calculates the maximum iteratively, avoiding both issues.

📊 Measured Improvement:
Measured time to run the calculation 1000 times against an array of 100,000 objects:

  • Baseline (Original): ~6169 ms
  • Optimized: ~2067 ms
  • Improvement: ~3x faster and significantly lower memory pressure.

PR created automatically by Jules for task 10778604892225508683 started by @artosien

Replace array mapping and spreading with an iterative reduce operation when calculating the max frequency.
This eliminates unnecessary memory allocation and mitigates potential call stack exceeded errors on very large arrays.

Benchmark results:
Original: ~6.17s
Optimized: ~2.07s
Improvement: ~3x faster

Co-authored-by: artosien <65523959+artosien@users.noreply.github.com>
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