Add comprehensive tests and optimizations for simulation and UI performance

- Introduced a new benchmark save script to create a stress test scenario with extreme values for simulation performance.
- Added a full UI benchmark script to measure frame rates and performance metrics during UI interactions.
- Implemented tests for coarse generations to ensure population transitions are handled correctly.
- Created tests for extra parameters to validate the loading and application of configuration settings.
- Developed simulation optimization tests to verify the efficiency of population drift and rounding mechanisms.
- Added split optimization tests to ensure accurate allocation and rounding behavior in population management.
- Included startup parameter tests to confirm the correct initialization of global parameters before scene readiness.
- Enhanced the audit rounding ledger to compare selective and full rounding results for consistency.

tests/benchmark_saved_state.gd

@@ -27,6 +27,8 @@ func run():
         quit(1)
         return
     var initial: Dictionary = E.decode(restore_json_integers(data)).state
+    var validation: String = root.get_node("SaveManager").validate_data(E.decode(restore_json_integers(data)))
+    print("Save validation: ", "OK" if validation.is_empty() else validation)
     var delta: float = args[1].to_float() if args.size() > 1 else 1.0 / 60.0
     if not is_finite(delta) or delta <= 0:
         quit(1)
@@ -36,12 +38,18 @@ func run():
         world.catalog.load_definitions(root.get_node("Global").OwniverseEntities)
         world.state = initial.duplicate(true)
         world.speed = speed
+        world.profile_enabled = args.has("profile")
         var elapsed: Array = []
         for cycle in 6:
             var start: int = Time.get_ticks_usec()
             world.evolute(delta)
             elapsed.append((Time.get_ticks_usec() - start) / 1000.0)
         print("Speed %d, six consecutive %s-second steps, ms: %s" % [speed, delta, elapsed])
+        var total_ms: float = 0.0
+        for sample in elapsed: total_ms += sample
+        var throughput: float = 6.0 * delta / (total_ms / 1000.0)
+        print("Simulation throughput: %.3f real-time seconds processed per CPU second; needs >= 1.0 to keep up" % throughput)
+        if world.profile_enabled: print("CPU profile (usec, calls): ", world.profile)
         for entity in world.catalog.entities.values(): entity.free()
         world.free()
     quit()