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⚡ Bolt: Optimize CreateEconomicMetrics LINQ allocations#319

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⚡ Bolt: Optimize CreateEconomicMetrics LINQ allocations#319
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💡 What: Replaced a complex SelectMany().Distinct().GroupBy().ToDictionary() LINQ pipeline in CreateEconomicMetrics with nested foreach loops and a reusable HashSet.

🎯 Why: To eliminate severe garbage collection pressure and allocation overhead caused by evaluating complex chained LINQ queries and creating multiple intermediate enumerators on the UI thread when calculating simulation results.

📊 Impact: Significantly reduces UI memory allocations and thread pauses after completing large simulation runs by shifting from multiple $O(N)$ closures/allocations to a single fast pass with $O(1)$ loop tracking.

🔬 Measurement: Verify by executing large complex simulations and measuring the memory heap allocations specifically around WorkspacePresentation.CreateEconomicMetrics(). The time and GC allocations spent generating metrics post-simulation should be significantly reduced.


PR created automatically by Jules for task 12922836998283748229 started by @wnj00524

Replaced a massive memory allocation bottleneck involving nested `.SelectMany()`, `.Distinct()`, `.GroupBy()`, and `.ToDictionary()` inside `CreateEconomicMetrics`.

By unrolling the complex LINQ aggregation pipeline into a set of manual nested `foreach` loops utilizing a reusable `HashSet` and a single pre-allocated dictionary, this severely reduces GC pressure and speeds up economic reporting calculations after each simulation step.
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