Refactor civilization evolution and state management

- 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.

tests/test_world_indicators.gd

@@ -91,7 +91,7 @@ func run() -> void:
 
     world = fixture()
     world.state.amount["C0.2"] = 1000000
-    world.state.ethics["C0.2"] = {"m": 1000000}
+    world.state.ethics["C0.2"] = {"m": 1.0, "l": 0.0, "w": 0.0, "d": 0.0, "c": 0.0, "b": 0.0}
     var baseline: Dictionary = world.state.duplicate(true)
     var advanced: Dictionary = baseline.duplicate(true)
     advanced.world_parameters.Agg = 19
@@ -108,7 +108,9 @@ func run() -> void:
     # Trends use ethical proportions and stage weights, not population magnitude.
     world = fixture()
     var rules: Dictionary = {"C2.0": {"home": "DwStar"}, "C2.1": {"home": "DwStar"}}
-    world.state.ethics = {"C2.0": {"d": 100}, "C2.1": {"d": 100}}
+    world.state.ethics = {"C2.0": {"m": 0.0, "l": 0.0, "w": 0.0, "d": 1.0, "c": 0.0, "b": 0.0}, "C2.1": {"m": 0.0, "l": 0.0, "w": 0.0, "d": 1.0, "c": 0.0, "b": 0.0}}
+    world.state.amount["C2.1"] = 10
+    world.state.binds["RD"] = {"C2.0": 10}
     var source: Dictionary = world.state.duplicate(true)
     var single: Dictionary = source.duplicate(true)
     var split: Dictionary = source.duplicate(true)
@@ -117,10 +119,17 @@ func run() -> void:
     check(E.near(single.trends.Integration, E.of("0.018")), "Trend integrates elapsed years and doubled stage weights")
     for key in Parameters.TRENDS:
         check(E.near(single.trends[key], split.trends[key]), E.add("Trend is independent of frame partition: ", key))
-    source.ethics["C2.0"].d = 1000000
+    source.ethics["C2.0"].d = 1.0
     var larger: Dictionary = world.state.duplicate(true)
+    larger.amount["C2.1"] = 1000000
+    larger.binds["RD"]["C2.0"] = 1000000
     Parameters.advance(source, larger, rules, 1000000)
     check(E.near(larger.trends.Integration, single.trends.Integration), "Population proportions determine trend influence")
+    var vacant: Dictionary = world.state.duplicate(true)
+    vacant.amount["C2.1"] = 0
+    vacant.binds["RD"]["C2.0"] = 0
+    Parameters.advance(vacant, vacant, rules, 1000000)
+    check(vacant.trends.values().all(func (value): return E.eq(value, 0)), "Empty saved ethic profiles do not generate trends")
     world.state.trends.Integration = E.of("0.99")
     Parameters.advance(source, world.state, rules, 100000000)
     check(E.eq(world.state.civilization_stats["trend:Integration"], 2), "Long steps process every crossed threshold")
@@ -133,7 +142,7 @@ func run() -> void:
     Parameters.advance(source, world.state, rules, E.of("1.0e12"))
     check((E.ge(world.state.trends.Integration, 0) and E.lt(world.state.trends.Integration, 1)), "Very large intervals finish with a valid trend fraction")
     check(E.ge(world.state.world_parameters.Agg, 1), "Repeated integration events cannot reduce aggression below the scale")
-    var payload: Dictionary = {"format_version": 5, "app_version": "test", "ui": {"current_page": 1}, "state": world.state}
+    var payload: Dictionary = {"format_version": 6, "app_version": "test", "ui": {"current_page": 1}, "state": world.state}
     var manager: Node = root.get_node("SaveManager")
     check(E.eq(manager.validate_data(payload), ""), "New parameters and trends pass save validation")
     var old: Dictionary = payload.duplicate(true)