101 lines
3.5 KiB
GDScript
101 lines
3.5 KiB
GDScript
# VERTICAL SLICE - NOT FOR PRODUCTION
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# 棋盘口径校准（分析会话取数工具——冒险零加成完成度分母实证）：
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# 逐 board_gen 行真实生成 N 板，统计 实际雷数/安全格数/R₀ 初始展开占比——
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# 生成期「先布后删+可推理率重试」使实际雷数远低于表口径 round(d×(W×H−9))，
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# 日志侧只有清图板可反推 safe_total（未清图深度无样本），本工具给全网格精确分母。
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# 运行：Godot_console.exe --headless --path . --script res://sim/calibrate_boards.gd -- [N]
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# 输出：stdout CSV 行 level,depth,w,h,n,mines_mean,mines_med,safe_mean,safe_med,r0_mean,inf_mean
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extends SceneTree
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class FakeDB:
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var row: Dictionary
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func resolve_board_gen(_L: int, _D: int) -> Dictionary:
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return row
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func status_effect_row(_id: String) -> Dictionary:
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return {}
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func _initialize() -> void:
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var args := OS.get_cmdline_user_args()
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var n := 200
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if args.size() >= 1 and args[0].is_valid_int():
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n = maxi(10, int(args[0]))
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var db = load("res://core/config_db.gd").new()
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if not db.load_tables("res://data/tables", false):
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print("表加载失败")
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quit(1)
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return
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var gen = load("res://core/board_generator.gd").new()
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print("level,depth,w,h,n,mines_mean,mines_med,safe_mean,safe_med,r0_mean,r0_sd,r0_p90,r0_max,inf_mean,cap_rej_mean")
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for row in db.board_gen.rows:
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var rd := {
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"level_index": int(row.level_index), "node_depth": int(row.node_depth),
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"board_width": int(row.board_width), "board_height": int(row.board_height),
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"mine_density": float(row.mine_density), "inferability_target": float(row.inferability_target),
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"solver_rules": String(row.solver_rules), "min_safe_count": int(row.min_safe_count),
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"max_gen_attempts": int(row.max_gen_attempts), "board_type": String(row.board_type),
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# 初始展开收窄两参数透传（.get 缺省与生成器防御口径一致）
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"shave_ring_radius": int(row.get("shave_ring_radius", 1)),
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"r0_max_cap": int(row.get("r0_max_cap", 0)),
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}
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var fdb := FakeDB.new()
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fdb.row = rd
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var mines: Array = []
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var safes: Array = []
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var r0s: Array = []
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var infs: Array = []
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var cap_rejs: Array = []
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for i in range(n):
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var rg := RandomNumberGenerator.new()
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rg.seed = 900000 + i
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var b = gen.generate(int(row.level_index), int(row.node_depth), rg, fdb)
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if b == null:
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continue
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mines.append(b.mines.size())
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safes.append(b.safe_cells().size())
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r0s.append(int(b.metrics.r0_count))
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infs.append(float(b.metrics.inferability))
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cap_rejs.append(int(b.metrics.get("r0_cap_rejected", 0)))
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if mines.is_empty():
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printerr("L%d d%d 生成全部失败" % [int(row.level_index), int(row.node_depth)])
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continue
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print("%d,%d,%d,%d,%d,%.1f,%d,%.1f,%d,%.1f,%.2f,%d,%d,%.3f,%.2f" % [
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int(row.level_index), int(row.node_depth), int(row.board_width), int(row.board_height),
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mines.size(), _mean(mines), _med(mines), _mean(safes), _med(safes), _mean(r0s),
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_sd(r0s), _p90(r0s), _max(r0s), _mean(infs), _mean(cap_rejs)])
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quit(0)
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func _mean(a: Array) -> float:
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var t := 0.0
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for v in a:
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t += float(v)
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return t / float(a.size())
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func _sd(a: Array) -> float:
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var m := _mean(a)
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var t := 0.0
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for v in a:
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t += (float(v) - m) * (float(v) - m)
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return sqrt(t / float(a.size()))
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func _p90(a: Array) -> int:
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var b := a.duplicate()
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b.sort()
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return int(b[mini(a.size() - 1, int(ceil(a.size() * 0.9)) - 1)])
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func _max(a: Array) -> int:
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var b := a.duplicate()
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b.sort()
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return int(b[b.size() - 1])
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func _med(a: Array) -> int:
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var b := a.duplicate()
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b.sort()
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return int(b[b.size() / 2])
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