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⚡ Bolt: Optimize multiple LINQ Sums in WorkspacePresentation#305

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⚡ Bolt: Optimize multiple LINQ Sums in WorkspacePresentation#305
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💡 What: Replaced multiple chained LINQ .Sum() and .Where().ToList() invocations inside WorkspacePresentation.BuildTimelineOutcomes and WorkspacePresentation.WeightedAverage with single-pass manual foreach loop accumulators.

🎯 Why: To eliminate redundant multiple passes over collections (nodeStates and allocations) which cause significant delegate allocations and enumerator overhead (multiplied by trafficTypes count) every time the visual timeline is refreshed.

📊 Impact: Reduces visualization state re-calculation CPU overhead from $O(k \times N)$ iterations to precisely $O(N)$ and completely eradicates temporary delegate and list generation on this path, reducing GC pressure.

🔬 Measurement: dotnet build and dotnet test completed successfully indicating no regression in calculation determinism. Can be verified by running the UI over a large simulation with multiple traffic types and inspecting garbage generation in the timeline visual updates.


PR created automatically by Jules for task 1903380131079392748 started by @wnj00524

Replaced 10 multiple LINQ `.Sum()` method allocations in `BuildTimelineOutcomes` with single-pass manual `foreach` loops accumulating variables directly. Optimized `WeightedAverage` by replacing `.Where().ToList()` list allocations and double `.Sum()` calls with a single `foreach` evaluating conditions on the fly. This avoids multiple $O(N)$ multi-pass iteration overheads and extensive delegate/closure allocations on the hot path for visualization calculations.
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