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Refactor civilization evolution and state management

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- Enhanced the `civilization_evolution.gd` script to improve population handling and resource allocation during civilization transitions.
- Introduced new functions in `civilization_state.gd` for profile normalization and merging, ensuring consistent population representation across stages.
- Updated `evolution_coordinator.gd` to incorporate budget phases for better tracking of simulation performance.
- Improved `frame_budget.gd` to monitor maximum slice durations and phases during processing.
- Added a new benchmarking tool in `android_benchmark.gd` to measure performance metrics during simulation runs, including frame processing times and throughput.
- Created associated scene and resource files for the benchmarking tool to facilitate testing and performance evaluation.
This commit is contained in:
Kirill
2026-10-06 23:02:42 +03:00
parent e48d4bbe88
commit 6ee66a627d
23 changed files with 751 additions and 3009 deletions
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tests/test_coarse_generations.gd
+1 -1
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@@ -57,7 +57,7 @@ func run():
var before: Dictionary = world.state.duplicate(true)
world.evolution.evolute_to_datetime(10000)
check(E.eq(world.state, before), "Repeating completed clock does not repeat transitions")
var validation: String = root.get_node("SaveManager").validate_data({"format_version": 5, "app_version": "", "ui": {"current_page": 0}, "state": world.state})
var validation: String = root.get_node("SaveManager").validate_data({"format_version": 6, "app_version": "", "ui": {"current_page": 0}, "state": world.state})
check(validation.is_empty(), "Coarse state validates: " + validation)
world.evolution.evolute_to_datetime(20000)
if id in ["C0.0", "C0.1"]: