Kirill
273093bd9e
Счётчик времени UI обновляется до 10 Гц по запрошенному времени, а тяжёлые циклы по-прежнему запускаются с адаптивным интервалом и обрабатывают весь накопленный промежуток. Обновить тесты и описание модели.
58 lines
2.3 KiB
GDScript
58 lines
2.3 KiB
GDScript
extends SceneTree
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var checks: int = 0
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var failures: int = 0
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func _initialize() -> void:
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call_deferred("run")
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func check(condition: bool, message: String) -> void:
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checks += 1
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if not condition:
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failures += 1
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push_error(message)
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func run() -> void:
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var world = load("res://world/owniverse/owniverse.gd").new()
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world.adaptive_cadence = false
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world.update_adaptive_quality(250000)
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check(world.adaptive_quality == 2, "A slow cycle selects the medium approximation")
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world.update_adaptive_quality(250000)
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check(world.adaptive_quality == 3, "A slow medium-approximation cycle selects the coarse mode")
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check(world.adaptive_generation_phase == 1, "Coarse generation phase alternates")
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for i in 36: world.update_adaptive_quality(100000)
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check(world.adaptive_quality == 2, "Thirty consecutive recovery cycles lower quality by one level")
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for i in 30: world.update_adaptive_quality(100000)
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check(world.adaptive_quality == 1, "Sustained headroom lowers quality gradually")
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for i in 30: world.update_adaptive_quality(100000)
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check(world.adaptive_quality == 0, "The exact mode returns after sustained headroom")
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var cadence_world = load("res://world/owniverse/owniverse.gd").new()
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for i in 3: cadence_world.update_adaptive_quality(350000)
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check(cadence_world.cadence_level == 3, "Sustained 350 ms cycles select the 2 Hz cadence")
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check(is_equal_approx(cadence_world.frame_step_seconds, 0.5), "The lowest cadence uses a 0.5 second frame step")
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cadence_world.free()
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var rows: Array = []
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for node in 12:
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var edges: Dictionary = {}
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var outgoing: float = 0.0
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if node < 6:
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edges[node + 6] = 0.25
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outgoing = 0.25
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rows.append({"edges": edges, "outgoing": outgoing})
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var generator: Dictionary = {"rows": rows, "index": {"source": 0}}
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var solved: Dictionary = world.civilization_flow._solve_single_step(generator, "source", 2.0)
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for ethic in 6:
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var mass: float = 0.0
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var occupation: float = 0.0
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for node in range(ethic, 12, 6):
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mass += solved.mass[node]
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occupation += solved.occupation[node]
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check(absf(mass - 1.0) < 1e-12, "Approximate transition conserves ethic mass %d" % ethic)
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check(absf(occupation - 2.0) < 1e-12, "Approximate transition conserves integrated time %d" % ethic)
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world.free()
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print("Adaptive quality: %d checks, %d failures" % [checks, failures])
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quit(1 if failures else 0)
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