diff --git a/CLAUDE.md b/CLAUDE.md index 87d8cd0..f3f524d 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -83,8 +83,11 @@ godot --headless --path . -s res://src/tools/import_main.gd -- --validate-only `data/sheets/*.csv` →（SheetImporter，本仓库 `src/tools/`）→ `data/build/*.json`（提交）→（W3 `.tres`）→ DataRegistry。 单向流动：游戏永不写 `data/`；sim 与游戏读同一份 build。契约见 `README.md` + 架构 §3。 -**表清单（W3 = 9 张）**：`generators` / `upgrades` / `meta_upgrades` / `halls` / `hall_palettes` / -`boss_battles` / `events` / `balance_tuning` / **`camera`（W3 新增，一行一殿）**。 +**表清单（W5 = 10 张）**：`generators` / `upgrades` / `meta_upgrades` / `halls` / `hall_palettes` / +`boss_battles` / `events` / `balance_tuning` / `camera`（W3 新增，一行一殿） / +**`wrath_layers`（W5 新增，一行一层：`layer_index`/`effect`/`cost`）**。 +`wrath_layers` 补登 [B§12] 表清单漏登项——原落点是 `balance_tuning` 标量 `tune_wrath_bonus` ++ 经济核心线性乘层数（架构债，W5 裁定 P-25 拆为独立表，逐行 effect/cost 数据自解释）。 新增表 = 加 schema + 加 `.csv` + 进 `SheetImporter` 白名单，**不重编号既有 ID**。 **W3 相机参数为什么独立成表**（`camera.csv`，不是给 `halls.csv` 加列）： diff --git a/data/build/balance_tuning.json b/data/build/balance_tuning.json index ef495a7..a2df155 100644 --- a/data/build/balance_tuning.json +++ b/data/build/balance_tuning.json @@ -98,42 +98,21 @@ "kind": "number", "num": 22, "text": "", - "desc_cn": "[B§3.2] 冤煞层总数 22" - }, - { - "id": "tune_wrath_cost_base", - "kind": "number", - "num": 8, - "text": "", - "desc_cn": "[B§3.2] 第 n 层成本 = round(8 × n^1.8)" - }, - { - "id": "tune_wrath_cost_exp", - "kind": "number", - "num": 1.8, - "text": "", - "desc_cn": "[B§3.2] 冤煞层成本指数" - }, - { - "id": "tune_wrath_bonus", - "kind": "number", - "num": 0.25, - "text": "", - "desc_cn": "[B§3.2] 每层全局 +25%（加法，进全局乘区）" + "desc_cn": "[B§3.2] 冤煞层总数 22（与 wrath_layers.csv 行数交叉校验；效果/成本已逐行入该表，W5 G-1）" }, { "id": "tune_wrath_penalty", "kind": "number", - "num": 0.03, + "num": 0.04, "text": "", - "desc_cn": "[B§3.2] 每层宿慧获取削减 +3%" + "desc_cn": "[B§3.2] 每层宿慧获取削减 +4%（W5 裁定 P-26：−3% → −4%）" }, { "id": "tune_wrath_penalty_cap", "kind": "number", - "num": 0.3, + "num": 0.4, "text": "", - "desc_cn": "[B§3.2] 宿慧削减封顶 30%" + "desc_cn": "[B§3.2] 宿慧削减封顶 40%（W5 裁定 P-26：30% → 40%；m07 改 20%）" }, { "id": "tune_suihui_div", @@ -149,13 +128,6 @@ "text": "", "desc_cn": "[B§4.1] 宿慧公式乘数" }, - { - "id": "tune_suihui_global_pct", - "kind": "number", - "num": 0.03, - "text": "", - "desc_cn": "[B§1/§4.2] 每级宿慧全局产出 +3%（加法，进全局乘区）" - }, { "id": "tune_enthrone_bonus", "kind": "number", @@ -168,7 +140,7 @@ "kind": "number", "num": 5, "text": "", - "desc_cn": "[B§4.2] 每 5 级宿慧 → 前 3 档班底各 +25 级（m04 可加快为 4）" + "desc_cn": "[B§4.2] 每 5 级宿慧 → 前 3 档班底各 +25 级（m04 可加快为 4；每档封顶见 tune_skip_level_cap_per_gen）" }, { "id": "tune_skip_gens", @@ -184,6 +156,13 @@ "text": "", "desc_cn": "[B§4.2] 跳过机制每档 +25 级" }, + { + "id": "tune_skip_level_cap_per_gen", + "kind": "number", + "num": 50, + "text": "", + "desc_cn": "[B§4.2] W5 裁定 P-27（F-2）：跳过每档获赠 = min(floor(宿慧/5)×25, 本值)（原无封顶 → R2 开盘白送 2850 级）" + }, { "id": "tune_enthrone_rebirths", "kind": "number", @@ -295,6 +274,20 @@ "num": 1, "text": "", "desc_cn": "[systems-spec §1.2 B3] 开场冲锋开关（1 = 启用；门 #11 首轮数据回来前默认 1）" + }, + { + "id": "tune_suihui_global_max", + "kind": "number", + "num": 0.5, + "text": "", + "desc_cn": "[B§4.2] W5 裁定 P-27（F-1）：宿慧全局加成渐近上限 = 0.50×(1−e^(−宿慧/scale))（旧 +3%/级线性无界 → R2 开盘 ×6.79、红线 9.5e15 的根因）" + }, + { + "id": "tune_suihui_global_scale", + "kind": "number", + "num": 420, + "text": "", + "desc_cn": "[B§4.2] W5 裁定 P-27（F-1）：渐近衰减尺度（宿慧）。查点：193→+18.4%；386→+30.1%；579→+37.4%；772→+42.0%；∞→+50%" } ] } diff --git a/data/build/halls.json b/data/build/halls.json index 30e122a..b4a2cf5 100644 --- a/data/build/halls.json +++ b/data/build/halls.json @@ -23,7 +23,7 @@ "king_en": "King Qinguang", "motif_cn": "孽镜台（照心）", "motif_en": "Mirror of Karma", - "target_min": 25, + "target_min": 10, "gate_merit": 2000, "unlock_gen": "gen_03_guizu", "unlock_gate": "up_gate_guizu", @@ -37,7 +37,7 @@ "king_en": "King Chujiang", "motif_cn": "寒冰狱", "motif_en": "Ice Hell", - "target_min": 42, + "target_min": 20, "gate_merit": 30000, "unlock_gen": "gen_04_biliao", "unlock_gate": "up_gate_biliao", @@ -51,7 +51,7 @@ "king_en": "King Songdi", "motif_cn": "剥皮亭", "motif_en": "Flaying Pavilion", - "target_min": 62, + "target_min": 36, "gate_merit": 300000, "unlock_gen": "gen_05_tangpu", "unlock_gate": "up_gate_tangpu", @@ -65,7 +65,7 @@ "king_en": "King Wuguan", "motif_cn": "沸汤/毒蛇", "motif_en": "Scalding Cauldron", - "target_min": 84, + "target_min": 56, "gate_merit": 2000000, "unlock_gen": "gen_06_nanmin", "unlock_gate": "up_gate_nanmin", @@ -79,7 +79,7 @@ "king_en": "King Yama", "motif_cn": "叫唤地狱/铁床", "motif_en": "Wailing Hell", - "target_min": 105, + "target_min": 80, "gate_merit": 10000000, "unlock_gen": "gen_07_shuban", "unlock_gate": "up_gate_shuban", @@ -93,7 +93,7 @@ "king_en": "King Biancheng", "motif_cn": "石碾", "motif_en": "Stone Roller", - "target_min": 125, + "target_min": 102, "gate_merit": 40000000, "unlock_gen": "gen_08_bingfang", "unlock_gate": "up_gate_bingfang", @@ -107,7 +107,7 @@ "king_en": "King Taishan", "motif_cn": "热油火坑", "motif_en": "Boiling Oil Pit", - "target_min": 143, + "target_min": 122, "gate_merit": 120000000, "unlock_gen": "gen_09_wodi", "unlock_gate": "up_gate_wodi", @@ -121,7 +121,7 @@ "king_en": "King Dushi", "motif_cn": "泥犁/大石", "motif_en": "Avici Stone", - "target_min": 160, + "target_min": 142, "gate_merit": 350000000, "unlock_gen": "gen_10_xingzhe", "unlock_gate": "up_gate_xingzhe", @@ -135,7 +135,7 @@ "king_en": "King Pingdeng", "motif_cn": "拔舌/铁树", "motif_en": "Tongue-Ripping Iron Tree", - "target_min": 175, + "target_min": 164, "gate_merit": 800000000, "unlock_gen": "gen_11_yinhun", "unlock_gate": "up_gate_yinhun", diff --git a/data/build/meta_upgrades.json b/data/build/meta_upgrades.json index cba5bfa..12bb975 100644 --- a/data/build/meta_upgrades.json +++ b/data/build/meta_upgrades.json @@ -92,16 +92,16 @@ "name_en": "Easy Conscience", "effect_type": "wrath_penalty_set", "target_id": "", - "effect_param": 0.15, + "effect_param": 0.2, "cost_suihui": 15, "max_rank": 1, "condition": "none", - "desc_cn": "冤气对宿慧的削减 30%→15%" + "desc_cn": "冤气对宿慧的削减 40%→20%" }, { "id": "meta_08", - "name_cn": "敕封恩典", - "name_en": "Grace of Enthronement", + "name_cn": "幽冥恩荫", + "name_en": "Shadow Patronage", "effect_type": "global_pct", "target_id": "", "effect_param": 0.25, diff --git a/data/build/wrath_layers.json b/data/build/wrath_layers.json new file mode 100644 index 0000000..358b248 --- /dev/null +++ b/data/build/wrath_layers.json @@ -0,0 +1,144 @@ +{ + "sheet": "wrath_layers", + "schema_version": 0, + "columns": [ + "id", + "layer_index", + "effect", + "cost" + ], + "rows": [ + { + "id": "wrath_layer_01", + "layer_index": 1, + "effect": 0.15, + "cost": 8 + }, + { + "id": "wrath_layer_02", + "layer_index": 2, + "effect": 0.15, + "cost": 28 + }, + { + "id": "wrath_layer_03", + "layer_index": 3, + "effect": 0.15, + "cost": 58 + }, + { + "id": "wrath_layer_04", + "layer_index": 4, + "effect": 0.15, + "cost": 97 + }, + { + "id": "wrath_layer_05", + "layer_index": 5, + "effect": 0.15, + "cost": 145 + }, + { + "id": "wrath_layer_06", + "layer_index": 6, + "effect": 0.15, + "cost": 201 + }, + { + "id": "wrath_layer_07", + "layer_index": 7, + "effect": 0.15, + "cost": 266 + }, + { + "id": "wrath_layer_08", + "layer_index": 8, + "effect": 0.15, + "cost": 338 + }, + { + "id": "wrath_layer_09", + "layer_index": 9, + "effect": 0.15, + "cost": 418 + }, + { + "id": "wrath_layer_10", + "layer_index": 10, + "effect": 0.15, + "cost": 505 + }, + { + "id": "wrath_layer_11", + "layer_index": 11, + "effect": 0.15, + "cost": 599 + }, + { + "id": "wrath_layer_12", + "layer_index": 12, + "effect": 0.15, + "cost": 701 + }, + { + "id": "wrath_layer_13", + "layer_index": 13, + "effect": 0.15, + "cost": 809 + }, + { + "id": "wrath_layer_14", + "layer_index": 14, + "effect": 0.15, + "cost": 925 + }, + { + "id": "wrath_layer_15", + "layer_index": 15, + "effect": 0.15, + "cost": 1047 + }, + { + "id": "wrath_layer_16", + "layer_index": 16, + "effect": 0, + "cost": 1176 + }, + { + "id": "wrath_layer_17", + "layer_index": 17, + "effect": 0, + "cost": 1312 + }, + { + "id": "wrath_layer_18", + "layer_index": 18, + "effect": 0, + "cost": 1454 + }, + { + "id": "wrath_layer_19", + "layer_index": 19, + "effect": 0, + "cost": 1603 + }, + { + "id": "wrath_layer_20", + "layer_index": 20, + "effect": 0, + "cost": 1758 + }, + { + "id": "wrath_layer_21", + "layer_index": 21, + "effect": 0, + "cost": 1919 + }, + { + "id": "wrath_layer_22", + "layer_index": 22, + "effect": 0, + "cost": 2087 + } + ] +} diff --git a/data/schema/wrath_layers.schema.json b/data/schema/wrath_layers.schema.json new file mode 100644 index 0000000..192db09 --- /dev/null +++ b/data/schema/wrath_layers.schema.json @@ -0,0 +1,58 @@ +{ + "$schema": "https://json-schema.org/draft/2020-12/schema", + "$id": "wrath_layers.schema.json", + "title": "wrath_layers 表 schema v0（冤煞层 22 层逐行效果/成本，W5 补登 G-1）", + "description": "为什么独立成表（W5 sim 一轮裁定报告 §4.2 缺口 G-1）：[B§12] 七张表清单漏登冤煞层——[B§3.2] 定义了 22 层效果/成本但从未给 CSV 落点，原实现是 balance_tuning 标量 tune_wrath_bonus=0.25 配 economy_state.gd 线性乘层数（架构债：改一层效果要改代码）。本表 22 行 = 一层一行；effect = 该层购入后加入全局乘区的加法值（L1-15 = 0.15；L16-22 = 0.00，W5 裁定 P-25：+25%/层线性到底 → 15 层后归零，合计封顶 +225%，16-22 层保留购买入口作收藏/成就向，叙事'怨煞噬主，过盛不顶用'）；cost = 该层冤气成本 = round(8 × n^1.8)（[B§3.2] 原公式逐行落盘，公式参数 base/exp/bonus 三行已从 balance_tuning 移除）。削减速（−4%/层封顶 −40%）不随层变，按纪律留 balance_tuning 公式行（tune_wrath_penalty/tune_wrath_penalty_cap）；层总数 tune_wrath_layers=22 与本表行数由 BalanceData.check_references 交叉校验。稳定 ID：wrath_layer_NN，永不重编号（年更冤案包若加层 = 加行并同步 tune_wrath_layers，走 ADR）。", + "x-supported-keywords": [ + "type", "properties", "required", "items", "enum", "pattern", + "minimum", "maximum", "minLength", "minItems", "maxItems", + "additionalProperties", "const" + ], + "x-unique": ["id", "layer_index"], + "type": "object", + "required": ["sheet", "schema_version", "columns", "rows"], + "properties": { + "sheet": { "const": "wrath_layers" }, + "schema_version": { "const": 0 }, + "columns": { + "type": "array", + "items": { "type": "string" }, + "minItems": 4 + }, + "rows": { + "type": "array", + "minItems": 22, + "maxItems": 22, + "items": { + "type": "object", + "required": ["id", "layer_index", "effect", "cost"], + "properties": { + "id": { + "type": "string", + "pattern": "^wrath_layer_[0-9]{2}$", + "description": "稳定字符串 ID；永不重编号/复用（与 layer_index 对齐：wrath_layer_01 = 第 1 层）" + }, + "layer_index": { + "type": "integer", + "minimum": 1, + "maximum": 22, + "description": "层序号（1 起；22 层为 [B§3.2] 锁定总数，删行 = 设计动作走 ADR）" + }, + "effect": { + "type": "number", + "minimum": 0, + "maximum": 1, + "description": "该层加入全局乘区的加法值（W5 裁定：L1-15 = 0.15；L16-22 = 0.00 归零）" + }, + "cost": { + "type": "integer", + "minimum": 0, + "description": "该层冤气成本 = round(8 × n^1.8)（[B§3.2] 公式逐行落盘；gen_balance_sheets.py 生成，单测交叉校验）" + } + }, + "additionalProperties": false + } + } + }, + "additionalProperties": false +} diff --git a/data/sheets/balance_tuning.csv b/data/sheets/balance_tuning.csv index f0bd933..fb6dfe9 100644 --- a/data/sheets/balance_tuning.csv +++ b/data/sheets/balance_tuning.csv @@ -11,19 +11,16 @@ tune_offline_band3_h,number,24,,[B§8] 离线 8-24h 速率 40% tune_offline_band3_rate,number,0.4,,[B§8] 离线 8-24h 速率 tune_offline_band4_rate,number,0.1,,[B§8] 离线 >24h 速率 10% tune_offline_cap_h,number,72,,[B§8] 离线硬上限 72h 封顶 -tune_wrath_layers,number,22,,[B§3.2] 冤煞层总数 22 -tune_wrath_cost_base,number,8,,[B§3.2] 第 n 层成本 = round(8 × n^1.8) -tune_wrath_cost_exp,number,1.8,,[B§3.2] 冤煞层成本指数 -tune_wrath_bonus,number,0.25,,[B§3.2] 每层全局 +25%（加法，进全局乘区） -tune_wrath_penalty,number,0.03,,[B§3.2] 每层宿慧获取削减 +3% -tune_wrath_penalty_cap,number,0.3,,[B§3.2] 宿慧削减封顶 30% +tune_wrath_layers,number,22,,[B§3.2] 冤煞层总数 22（与 wrath_layers.csv 行数交叉校验；效果/成本已逐行入该表，W5 G-1） +tune_wrath_penalty,number,0.04,,[B§3.2] 每层宿慧获取削减 +4%（W5 裁定 P-26：−3% → −4%） +tune_wrath_penalty_cap,number,0.4,,[B§3.2] 宿慧削减封顶 40%（W5 裁定 P-26：30% → 40%；m07 改 20%） tune_suihui_div,number,1000000,,[B§4.1] 宿慧 = floor(√(本轮累计阴德/1e6) × 5) tune_suihui_mult,number,5,,[B§4.1] 宿慧公式乘数 -tune_suihui_global_pct,number,0.03,,[B§1/§4.2] 每级宿慧全局产出 +3%（加法，进全局乘区） tune_enthrone_bonus,number,0.25,,[B§4.4] 阴司敕封自动全局恩典 +25%（与 m08 商品字面重叠，见 provenance P-4） -tune_skip_interval,number,5,,[B§4.2] 每 5 级宿慧 → 前 3 档班底各 +25 级（m04 可加快为 4） +tune_skip_interval,number,5,,[B§4.2] 每 5 级宿慧 → 前 3 档班底各 +25 级（m04 可加快为 4；每档封顶见 tune_skip_level_cap_per_gen） tune_skip_gens,number,3,,[B§4.2] 跳过机制覆盖前 3 档班底 tune_skip_levels,number,25,,[B§4.2] 跳过机制每档 +25 级 +tune_skip_level_cap_per_gen,number,50,,"[B§4.2] W5 裁定 P-27（F-2）：跳过每档获赠 = min(floor(宿慧/5)×25, 本值)（原无封顶 → R2 开盘白送 2850 级）" tune_enthrone_rebirths,number,2,,[B§4.4] 阴司敕封触发：转世 ≥2（约第 2-3 轮，累计 8-12h 为其 pacing 后果） tune_restart_curve,text,0,1:0.6:0.4:0.3,[B§4.3] 重开曲线目标（第 5 轮触底 ≥0.25×）；模拟器门 #13 断言 tune_event_timeout_default,text,0,opt_a,[B§7] 冤魂申诉超时默认 = 超度（opt_a） @@ -40,3 +37,5 @@ tune_boss_kappa_base,number,0.01,,[systems-spec §1.2 B2] 殿王战点击伤害 tune_boss_kappa_slope,number,0.052,,[systems-spec §1.2 B2] κ 随法器线进度斜率：κ = (base + slope × 已购点击升级/12) × (1 + m06阶×0.30)；满配 κ = 0.0806 tune_boss_intro_cap,number,0.1,,[systems-spec §1.2 B3] 开场冲锋伤害封顶 = HP × 本值（0.10；旧公式 20% 已废止） tune_boss_intro_enabled,number,1,,[systems-spec §1.2 B3] 开场冲锋开关（1 = 启用；门 #11 首轮数据回来前默认 1） +tune_suihui_global_max,number,0.5,,[B§4.2] W5 裁定 P-27（F-1）：宿慧全局加成渐近上限 = 0.50×(1−e^(−宿慧/scale))（旧 +3%/级线性无界 → R2 开盘 ×6.79、红线 9.5e15 的根因） +tune_suihui_global_scale,number,420,,[B§4.2] W5 裁定 P-27（F-1）：渐近衰减尺度（宿慧）。查点：193→+18.4%；386→+30.1%；579→+37.4%；772→+42.0%；∞→+50% diff --git a/data/sheets/balance_tuning.desc.translation b/data/sheets/balance_tuning.desc.translation index e7502d5..ea8a673 100644 Binary files a/data/sheets/balance_tuning.desc.translation and b/data/sheets/balance_tuning.desc.translation differ diff --git a/data/sheets/balance_tuning.kind.translation b/data/sheets/balance_tuning.kind.translation index c116d5f..6a0614a 100644 Binary files a/data/sheets/balance_tuning.kind.translation and b/data/sheets/balance_tuning.kind.translation differ diff --git a/data/sheets/balance_tuning.num.translation b/data/sheets/balance_tuning.num.translation index 3197a27..ef03842 100644 Binary files a/data/sheets/balance_tuning.num.translation and b/data/sheets/balance_tuning.num.translation differ diff --git a/data/sheets/halls.csv b/data/sheets/halls.csv index e787845..fa9f8dc 100644 --- a/data/sheets/halls.csv +++ b/data/sheets/halls.csv @@ -1,11 +1,11 @@ id,no,king_cn,king_en,motif_cn,motif_en,target_min,gate_merit,unlock_gen,unlock_gate,palette_id,is_prestige_gate -hall_01_qinguang,1,秦广王,King Qinguang,孽镜台（照心）,Mirror of Karma,25,2000,gen_03_guizu,up_gate_guizu,pal_hall_01,false -hall_02_chujiang,2,楚江王,King Chujiang,寒冰狱,Ice Hell,42,30000,gen_04_biliao,up_gate_biliao,pal_hall_02,false -hall_03_songdi,3,宋帝王,King Songdi,剥皮亭,Flaying Pavilion,62,300000,gen_05_tangpu,up_gate_tangpu,pal_hall_03,false -hall_04_wuguan,4,五官王,King Wuguan,沸汤/毒蛇,Scalding Cauldron,84,2000000,gen_06_nanmin,up_gate_nanmin,pal_hall_04,false -hall_05_yama,5,阎罗王,King Yama,叫唤地狱/铁床,Wailing Hell,105,10000000,gen_07_shuban,up_gate_shuban,pal_hall_05,false -hall_06_biancheng,6,卞城王,King Biancheng,石碾,Stone Roller,125,40000000,gen_08_bingfang,up_gate_bingfang,pal_hall_06,false -hall_07_taishan,7,泰山王,King Taishan,热油火坑,Boiling Oil Pit,143,120000000,gen_09_wodi,up_gate_wodi,pal_hall_07,false -hall_08_dushi,8,都市王,King Dushi,泥犁/大石,Avici Stone,160,350000000,gen_10_xingzhe,up_gate_xingzhe,pal_hall_08,false -hall_09_pingdeng,9,平等王,King Pingdeng,拔舌/铁树,Tongue-Ripping Iron Tree,175,800000000,gen_11_yinhun,up_gate_yinhun,pal_hall_09,false +hall_01_qinguang,1,秦广王,King Qinguang,孽镜台（照心）,Mirror of Karma,10,2000,gen_03_guizu,up_gate_guizu,pal_hall_01,false +hall_02_chujiang,2,楚江王,King Chujiang,寒冰狱,Ice Hell,20,30000,gen_04_biliao,up_gate_biliao,pal_hall_02,false +hall_03_songdi,3,宋帝王,King Songdi,剥皮亭,Flaying Pavilion,36,300000,gen_05_tangpu,up_gate_tangpu,pal_hall_03,false +hall_04_wuguan,4,五官王,King Wuguan,沸汤/毒蛇,Scalding Cauldron,56,2000000,gen_06_nanmin,up_gate_nanmin,pal_hall_04,false +hall_05_yama,5,阎罗王,King Yama,叫唤地狱/铁床,Wailing Hell,80,10000000,gen_07_shuban,up_gate_shuban,pal_hall_05,false +hall_06_biancheng,6,卞城王,King Biancheng,石碾,Stone Roller,102,40000000,gen_08_bingfang,up_gate_bingfang,pal_hall_06,false +hall_07_taishan,7,泰山王,King Taishan,热油火坑,Boiling Oil Pit,122,120000000,gen_09_wodi,up_gate_wodi,pal_hall_07,false +hall_08_dushi,8,都市王,King Dushi,泥犁/大石,Avici Stone,142,350000000,gen_10_xingzhe,up_gate_xingzhe,pal_hall_08,false +hall_09_pingdeng,9,平等王,King Pingdeng,拔舌/铁树,Tongue-Ripping Iron Tree,164,800000000,gen_11_yinhun,up_gate_yinhun,pal_hall_09,false hall_10_zhuanlun,10,转轮王,King of the Wheel,轮回道（六道环）,Wheel of Rebirth,180,1500000000,none,none,pal_hall_10,true diff --git a/data/sheets/halls.target.translation b/data/sheets/halls.target.translation index 2887bfa..8542a6d 100644 Binary files a/data/sheets/halls.target.translation and b/data/sheets/halls.target.translation differ diff --git a/data/sheets/meta_upgrades.csv b/data/sheets/meta_upgrades.csv index 08e7c6a..b6415af 100644 --- a/data/sheets/meta_upgrades.csv +++ b/data/sheets/meta_upgrades.csv @@ -5,8 +5,8 @@ meta_03,宿慧通透,Perspicacious Wisdom,suihui_gain_pct,,0.15,8,3,none,宿慧 meta_04,天生熟练,Born Skilled,skip_interval,,4,12,1,none,跳过机制从每 5 级加快为每 4 级 meta_05,阴司人脉,Netherworld Connections,offline_pct,,0.25,6,1,none,离线效率 +25% meta_06,斩鬼刃,Ghost-Slaying Blade,boss_click_pct,,0.3,10,1,none,殿王战点击伤害 +30% -meta_07,心安理得,Easy Conscience,wrath_penalty_set,,0.15,15,1,none,冤气对宿慧的削减 30%→15% -meta_08,敕封恩典,Grace of Enthronement,global_pct,,0.25,20,2,none,全局 +25%（每阶） +meta_07,心安理得,Easy Conscience,wrath_penalty_set,,0.2,15,1,none,冤气对宿慧的削减 40%→20% +meta_08,幽冥恩荫,Shadow Patronage,global_pct,,0.25,20,2,none,全局 +25%（每阶） meta_09,阴阳眼,Yin-Yang Eye,event_freq_pct,,0.2,10,1,none,事件触发频率 +20% meta_10,超度加速,Salvation Acceleration,souls_mult,,2,8,1,none,超度计数获取 ×2 meta_11,老马识途,Old Horse Knows the Way,bulk_unlock,,0,5,1,none,开局即可用批量 ×10 diff --git a/data/sheets/meta_upgrades.desc.translation b/data/sheets/meta_upgrades.desc.translation index 59a3839..62baa03 100644 Binary files a/data/sheets/meta_upgrades.desc.translation and b/data/sheets/meta_upgrades.desc.translation differ diff --git a/data/sheets/meta_upgrades.effect.translation b/data/sheets/meta_upgrades.effect.translation index a21ca51..8fad0ae 100644 Binary files a/data/sheets/meta_upgrades.effect.translation and b/data/sheets/meta_upgrades.effect.translation differ diff --git a/data/sheets/meta_upgrades.name.translation b/data/sheets/meta_upgrades.name.translation index d449cd4..58c8084 100644 Binary files a/data/sheets/meta_upgrades.name.translation and b/data/sheets/meta_upgrades.name.translation differ diff --git a/data/sheets/wrath_layers.cost.translation b/data/sheets/wrath_layers.cost.translation new file mode 100644 index 0000000..4791f58 Binary files /dev/null and b/data/sheets/wrath_layers.cost.translation differ diff --git a/data/sheets/wrath_layers.csv b/data/sheets/wrath_layers.csv new file mode 100644 index 0000000..e16cebf --- /dev/null +++ b/data/sheets/wrath_layers.csv @@ -0,0 +1,23 @@ +id,layer_index,effect,cost +wrath_layer_01,1,0.15,8 +wrath_layer_02,2,0.15,28 +wrath_layer_03,3,0.15,58 +wrath_layer_04,4,0.15,97 +wrath_layer_05,5,0.15,145 +wrath_layer_06,6,0.15,201 +wrath_layer_07,7,0.15,266 +wrath_layer_08,8,0.15,338 +wrath_layer_09,9,0.15,418 +wrath_layer_10,10,0.15,505 +wrath_layer_11,11,0.15,599 +wrath_layer_12,12,0.15,701 +wrath_layer_13,13,0.15,809 +wrath_layer_14,14,0.15,925 +wrath_layer_15,15,0.15,1047 +wrath_layer_16,16,0,1176 +wrath_layer_17,17,0,1312 +wrath_layer_18,18,0,1454 +wrath_layer_19,19,0,1603 +wrath_layer_20,20,0,1758 +wrath_layer_21,21,0,1919 +wrath_layer_22,22,0,2087 diff --git a/data/sheets/wrath_layers.csv.import b/data/sheets/wrath_layers.csv.import new file mode 100644 index 0000000..4d557ee --- /dev/null +++ b/data/sheets/wrath_layers.csv.import @@ -0,0 +1,19 @@ +[remap] + +importer="csv_translation" +type="Translation" +uid="uid://yoqc8bb688f4" + +[deps] + +files=["res://data/sheets/wrath_layers.layer.translation", "res://data/sheets/wrath_layers.effect.translation", "res://data/sheets/wrath_layers.cost.translation"] + +source_file="res://data/sheets/wrath_layers.csv" +dest_files=["res://data/sheets/wrath_layers.layer.translation", "res://data/sheets/wrath_layers.effect.translation", "res://data/sheets/wrath_layers.cost.translation"] + +[params] + +compress=1 +delimiter=0 +unescape_keys=false +unescape_translations=true diff --git a/data/sheets/wrath_layers.effect.translation b/data/sheets/wrath_layers.effect.translation new file mode 100644 index 0000000..1724e6b Binary files /dev/null and b/data/sheets/wrath_layers.effect.translation differ diff --git a/data/sheets/wrath_layers.layer.translation b/data/sheets/wrath_layers.layer.translation new file mode 100644 index 0000000..ef0a796 Binary files /dev/null and b/data/sheets/wrath_layers.layer.translation differ diff --git a/docs/engineering/2026-10-20-f-sim-round2-comparison.md b/docs/engineering/2026-10-20-f-sim-round2-comparison.md new file mode 100644 index 0000000..0cc3a65 --- /dev/null +++ b/docs/engineering/2026-10-20-f-sim-round2-comparison.md @@ -0,0 +1,214 @@ +# F《怨返》sim 二轮校准对比报告（Round-2 Comparison） + +> **撰写**：程基岩（engineering-lead）｜ **委托**：游承峰（主理人）｜ **日期**：2026-10-21 +> **上游**：`design/gdd/2026-10-20-F-sim-round1-adjudication.md`（下称 **[裁]**，用户 U-1~U-4 四项拍板全采纳） +> **对照物**：`tests/sim_reports/report-2026-10-20.json`（一轮，commit `c534e95`）vs `tests/sim_reports/report-2026-10-21.json`（二轮，本文） +> **纪律**：数值从 [裁] 照抄不发明；本文所有"实测"值均来自二轮报告字段或本机验证日志原文。 + +--- + +## 0. 结论速览 + +| 项 | 结果 | +|---|---| +| 一轮 5 个 FAIL 门（#2/#3/#12/#13/#14） | **4 个转 PASS**（#2/#3/#12/#14）；**#13 残留 FAIL**——R4=0.40 超 ±25% 带上限 0.375，差 0.021（5.6% 边际超差） | +| 硬门 #5 / #10 | **双 PASS 不回归**（182min ∈[120,300]；双断言 单轮 11.831B + restart lifetime 7.007B 均 ≤1e14） | +| 红线（[裁] §2.5） | **根治确认**：restart lifetime 峰值 9.4979e15（一轮）→ **7.007B**（二轮），降幅约 6 个数量级；1e14 红线纪律未放宽 | +| 验证序列 | `--import` exit=0 → import_all **PASS（10 表/238 行/0 违规）** → validate PASS → test_runner **750 检查 8/8 用例全过** → 漂移门**零差异**（gen 重跑前后 SHA-256 逐字节一致）→ 主场景 `--quit-after 200` **exit=0 零 ERROR** | +| 阻塞项 | **git 不可用**（本环境无 git.exe：PATH/全盘常见根目录/pygit2/dulwich 均不可用）→ commit「W5 sim 一轮裁定落地 + 二轮校准」待主理人提供 git 或代为提交 | +| 待裁定 | #13 R4 边际残留处置（选项见 §3）；devour 轮后 H10 越红线观测登记（见 §4.3，不阻塞） | + +**"五 FAIL 全转 PASS"未达成——诚实结论是 4/5。** #13 从 R2=0.06 的崩塌态恢复到 R2=0.48/R3=0.42 入带、仅 R4=0.396 贴带外，属 [裁] §4.5 预告的"设计起点待二轮校准"残差，非实现 bug（论证见 §3）。 + +--- + +## 1. 落地清单（对照 [裁] §4.1/§4.2/§4.3/§7） + +### 1.1 G-1：冤煞层数据落点（架构债拆除） + +- **定位结论**：冤煞层原无独立表——落点是 `balance_tuning` 标量 `tune_wrath_bonus=0.25` + `economy_state.gd` 线性乘层数（[B§12] 表清单漏登，[裁] §4.2 G-1 登记项）。 +- **新建**：`data/sheets/wrath_layers.csv`（22 行：`id/layer_index/effect/cost`）+ `data/schema/wrath_layers.schema.json` + `src/core/data/wrath_layer_def.gd`（`WrathLayerDef`）+ `BalanceData` 载入/索引（`wrath_layer(idx)` / `wrath_layer_effect_sum(layers)`）+ `check_references()` 交叉校验。 +- **生成链**：`gen_balance_sheets.py` 表清单 9→10 张、新增常量与 `wrath_layer_cost(n)`、`self_check()` 增 W5 断言（meta/halls/wrath_layers 交叉校验 + tune 双源防回潮）。 +- **文档补登**：`CLAUDE.md` 表清单「W3 = 9 张」→「W5 = 10 张」并注明补登 [B§12] 漏登；架构文档（`docs/architecture/`，C 盘设计仓）属文策渊辖地，**未越权修改**——已在 §7 列为设计侧待办。 + +### 1.2 CSV 改动（[裁] §4.1 总表 20 行，全部照抄落盘） + +| # | 表/列 | 原值 | 新值 | 二轮实测印证 | +|---|---|---|---|---| +| 1-2 | `wrath_layers` effect L1-L15 / L16-L22 | 0.25 | **0.15 / 0.00** | devour 轮 22 层终态、层数时间线 1→22 可复盘（M-3） | +| 3 | 冤煞削减速（tune） | −3%/层 cap −30% | **−4%/层 cap −40%**（`tune_wrath_penalty` 0.03→0.04 / cap 0.3→0.4） | #12 转 PASS（§2） | +| 4 | `meta_07` 心安理得 effect_param | 0.3（削减 30%→15%） | **0.2（削减 40%→20%）** | desc 列同步 | +| 5-7 | `balance_tuning` 新增 3 行 | — | **tune_suihui_global_max=0.50 / tune_suihui_global_scale=420 / tune_skip_level_cap_per_gen=50** | #13/#10 根治（§3/§4） | +| 8-16 | `halls` 到达目标列 H1-H9 | 25/42/62/84/105/125/143/160/175 | **10/20/36/56/80/102/122/142/164** | #3 greedy 全殿入带（§2） | +| 17 | `halls` H10 目标 | 180 | **180（不改）** | 门 #5 口径不变 | +| 18 | `meta_08` 显示名 | 敕封恩典 | **幽冥恩荫（Shadow Patronage）** | [裁§3 P-4] 既定消歧落盘 | +| 19 | `meta_04` 天生熟练 | （P2 备选） | **不改，二轮再定** | 按 U-5 维持 | +| 20 | `halls` 殿门阈值列 | 2K…1.5B | **不改（显式声明）** | 经济曲线零动的验证：三策略 H10 时刻与一轮逐分不差（182/215/220min） | + +### 1.3 代码公式（[裁] §4.2：F-1/F-2 落地，F-3 不采用） + +- **F-1**（`economy_state.recompute` 宿慧全局项）：`3%×宿慧` → `0.50×(1−e^(−宿慧/420))`，加法进全局乘区，读 `tune_suihui_global_max/scale`（`_suihui_global_add()`）。 +- **F-2**（跳过机制，`_apply_rebirth_start_levels`）：每档获赠 = `min(floor(宿慧/5)×25, tune_skip_level_cap_per_gen)`；m04 用 `floor(宿慧/4)`。 +- **F-3 不采用**：走逐行 0.00 数据自解释（[裁] §4.2 推荐路径），零钳制代码。 +- **G-1 联动**：全局区 `gadd = _suihui_global_add() + data.wrath_layer_effect_sum(wrath_layers)`（替代旧 `tune_wrath_bonus` 线性乘层数）。 + +### 1.4 验收门修订（[裁] §4.3 四条）+ sim 输出（[裁] §7 补测清单） + +- **#2**：购买事件计数 → **不同条目数**（`(kind, target_id)` 去重 ∈[3,6]），测量策略 novice；`simulator.gd` purchases 逐条目记 `{t,kind,target_id,count}`（M-1）。 +- **#3/#14**：对照新目标表 ±20%（旧分段容差废止），主口径 **greedy**；`sim_main.gd` primary 合并逻辑显式化（#1/#2 采 novice、其余采 greedy）。 +- **#10**：**双断言**（单轮峰值 ≤1e14 且 restart 5 轮 lifetime 峰值 ≤1e14，`gate_peak_double`）。 +- **#13**：容差显式 ±25%（R1-R4）；R5 起触底 ≥0.25× 口径不变（本轮 8h 预算只跑到 R4+部分 R5，触底支路未覆盖，见 §7.3）。 +- **M-2**：restart 轮 `buy_meta:true`（宿慧商店全买，真实玩家口径）；**M-3**：devour 轮进 `runs` 数组；**M-6**：restart lifetime 进门 #10 断言。 + +--- + +## 2. 14 门 + cross 一轮→二轮对照 + +> 主口径 = primary（#1/#2 采 novice，其余采 greedy，[裁] §4.3）；greedy/random 的策略噪声按裁定进 cross 观测。 + +| 门 | 一轮（10-20） | 二轮（10-21） | 判定 | +|---|---|---|---| +| #1 首购点击 ∈[10,20] | novice 16 / greedy 15 / random 15 | 16 / 15 / 15 | 维持 PASS | +| #2 前 5min（新口径：不同条目 ∈[3,6]） | 事件计数 23/15/15 **FAIL** | novice **5 条目 PASS**（greedy/random 各 2，同条目重复购买，非主口径） | **转 PASS** | +| #3 殿门到达表 ±20% | greedy H1 8/25min=32%…H10 182/180 **FAIL** | greedy **8/10=80% / 20/20=100% / 36/36 / 56/56 / 79/80=99% / 102/102 / 122/122 / 142/142 / 164/164 / 182/180=101%** | **转 PASS** | +| #4 最大购买间隔 ≤60min | 9/1/1 min | 9/1/1 min | 维持 PASS | +| #5 到 H10 ∈[120,300]min（**硬门**） | 182/215/220 min | 182/215/220 min（逐分不差） | **硬门不回归** | +| #6 无墙（最差窗口 ≥1.0×） | 4.03×/21.60×/10.80× | 同值 | 维持 PASS | +| #7 cross 策略极差 <1.5× | 1.21× | 1.21× | 维持 PASS | +| #8 回本时间 | t2 120s…t6 293s | 同值 | 维持 PASS | +| #9 离线契约 v2（a/b/c） | a/b/c PASS | a/b/c PASS（β 口径仍 deferred，M-4） | 维持 PASS | +| #10 终局峰值 ≤1e14（**硬门**） | 单轮 11.831B PASS——但 restart lifetime **9.4979e15 越界在旧口径盲区** | **双断言：单轮 11.831B + restart lifetime 7.007B，均 ≤1e14** | **转 PASS（口径扩展+根治）** | +| #11 BossBattle | deferred | deferred（M-5） | 维持 | +| #12 怨煞取舍 devour/pure ∈(0.3,3.0) | **0.21×**（38min vs 182min）FAIL | **0.34×**（62min vs 182min）PASS | **转 PASS** | +| #13 重开曲线 1:0.6:0.4:0.3（±25%） | R2=0.06/R3=0.03/R4=0.02 **FAIL** | R1=1.00 / **R2=0.48 ✓**（带[0.45,0.75]）/ **R3=0.42 ✓**（带[0.30,0.50]）/ **R4=0.40 ✗**（带[0.225,0.375]，超 0.021） | **残留 FAIL**（§3） | +| #14 殿门标定 ∈[80%,120%] | greedy H1 34%…H10 101% **FAIL** | greedy **84/101/101/100/99/100/100/100/100/101%** 全入带 | **转 PASS** | + +**主口径汇总**：13 项评门中 12 PASS + #13 FAIL；#11 deferred。硬门 5/10 双 true。 +**注意**：sim 控制台行「主口径未过门 = []」只遍历 primary——#7/#12/#13 是报告顶层独立字段（`cross`/`wrath_tradeoff`/`restart`），#13 的 FAIL **不出现**在该摘要行里，读 CI 日志时以 JSON 顶层 `restart.pass` 为准（观测记录，非 bug）。 + +--- + +## 3. #13 专项：R4 边际残留分析 + +### 3.1 实测数据（二轮 restart 轮：greedy + 商店全买，8h 预算，rebirths=4） + +| 轮 | 转世时刻 | 本轮间隔 | 比率 | 目标（带） | 判定 | 本轮 suihui_gain | +|---|---|---|---|---|---|---| +| R1 | — | 10896s（181.6min） | 1.00 | 1.00 | ✓ | 193 | +| R2 | t=10896s | 5218s（87.0min） | 0.48 | 0.60（[0.45,0.75]） | ✓ | 279 | +| R3 | t=16114s | 4573s（76.2min） | 0.42 | 0.40（[0.30,0.50]） | ✓ | 279 | +| R4 | t=20687s | 4312s（71.9min） | **0.396** | 0.30（[0.225,0.375]） | **✗ 超 0.021** | 279 | + +终局：`suihui=892`（毛获 193+279×3=1030，商店消费 138）、`wrath_layers=0`、班底级数 [70,60,50,30,20,20]（前三档 50 级封顶痕迹 + 途中购买）、`peak_lifetime=7.007B`。 + +### 3.2 归因：校准残差，非实现 bug + +1. **公式严格按 [裁] §2.4 落地并有单测逐点背书**：F-1 渐近查点（193→+18.4% / 386→+30.1% / 579→+37.4% / 772→+42.0% / 892→+44.0% / ∞→+50%）与 F-2 钳制（`min(floor(宿慧/5)×25,50)`）均在 `test_economy_state.gd`（101 检查）断言内；750 检查全过。 +2. **门严格按 [裁] §4.3 落地**：±25% 容差、R1-R4 目标曲线，`gates.gd:evaluate_restart` 一行未偏。 +3. **残差来源 = [裁] §4.5 预估表的线性模型盲区**：预估用「182min ÷ 总倍率」直接除，未计成本指数增长/解锁门/购买节奏对倍率的**阻尼**。实测各轮比预估**慢**：R2 85→87.0min（+2.0）、R3 70→76.2min（+6.2）、R4 62→71.9min（+9.9）——偏差逐轮放大，比率因此系统性高出预估（+0.02/+0.04/+0.056）。R2/R3 目标带宽余量大（0.60/0.40），吸收了偏差；R4 目标 0.30 的带上限 0.375 < 0.396，成为唯一漏点。 +4. **M-2 商店口径生效的证据**：R2 起 suihui_gain 193→279（商店加速输出 → 每轮阴德 ~2.1×），这正是"含商店口径比解析预估更善加速"方向的一致证据——预估表本身标注了此口径更严，但除式模型仍高估了倍率效力。 +5. **曲线形态健康度**：R1→R4 = 1:0.48:0.42:0.40，仍单调递减。R4 之后走向本轮 sim 未测（8h 预算只完成 R1-R4，R5 进行中被截断）；按 [裁] §4.5 预估表（R5≈0.32 / R10+≈0.26）叠加本轮实测偏差方向外推，R10+ ≈0.28-0.32（**外推值，未经 sim 验证**），仍 ≫0.25 触底线。对比一轮 1:0.06:0.03:0.02 的崩塌态，P0 级设计缺陷（内容烧穿 + 红线根因）已根治。**残留是"贴带外 5.6%"的校准问题，不是"3 小时主线 10 分钟烧完"的机制问题。** + +### 3.3 处置选项（**待设计侧/用户拍板，工程不自行旋钮**） + +| 选项 | 内容 | 工程评估 | +|---|---|---| +| **A 接受实测曲线为校准则** | 更新 [B§4.3] 重开目标曲线为 1:0.48:0.42:0.40（R4 目标 0.40，±25% 带宽不变），或等价地把 R4 目标记 0.40 | 数据自洽优先，不动经济；叙事仍满足"前密后疏 + ≥0.25 触底"（R4 后走向按 §3.2-5 外推仍 ≫0.25）。需文策渊出修订条 | +| **B 放宽 R4 容差** | 前 4 轮 ±25%→±35%（R4 上限 0.405，0.396 入带） | 最小改动；但需注意 [裁] §2.4 曾**明确否决**"改验收目标"方案——彼时是 10× 烧穿（0.06 vs 0.6），本次为 6.7% 边际超差，性质不同，仍须设计侧显式批准 | +| **C 参数微调** | scale 420→600 / m08 +25%→+15% 每阶 / skip cap 50→35 及其组合 | **单旋钮不干净**（定量见下）；需设计侧选定方向后工程跑变体 sim（每个 ~10s）再拍板 | +| **D 维持 FAIL 进 W6** | #13 非硬门（硬门仅 #5/#10），informational 通道已记录；W6 转正评估时连同 M-4（β 标定）一并处理 | 零风险；#13 的 P0 救治目标（防烧穿+红线）已达成，残余不影响玩家体验底线 | + +**选项 C 定量备忘**（工程侧算术，供拍板参考；全经济响应需变体 sim 确认）： +- `scale 420→600`：宿慧 579-892 区间的宿慧项分量 ×1.374~×1.440 降为 ×1.357~×1.387（−4.2%~−5.3% 分量），折算比率约 −1.5~−2%（阻尼后）→ R4 ≈0.38-0.39，**单独不足以**入带； +- `m08 降阶`：压后期但同时压 R2——R2 现贴 0.45 下界仅 0.03 余量，有跌穿风险（[裁] §3.1 预留该旋钮本是防 R2 过慢，方向相反）； +- `skip cap 50→35`：R2-R4 开盘各慢一档，R2 同样面临 0.45 下界风险。 +- 结论：若设计侧要"参数派"过门，预计需 scale+skip cap 组合，且必然以 R2 贴边为代价——**工程建议优先 A 或 D**。 + +--- + +## 4. 红线闭环与新观测登记 + +### 4.1 [裁] §2.5 红线越界根治确认 + +| 口径 | 一轮 | 二轮 | 红线 | +|---|---|---|---| +| restart lifetime 峰值 | **9.4979e15（越界 95×）** | **7.007B** | ≤1e14 ✓ | +| 单轮峰值（greedy） | 11.831B | 11.831B | ≤1e14 ✓ | +| 标准三策略各轮峰值 | 2.732B/11.831B/2.497B | 同值 | ✓ | + +机制确认：宿慧 892 时 F-1 给 +44.0%（封顶 +50%），全局长尾 ≤×2.25 量级 → 终局累计封在 ~1e10 量级，与 [裁] §2.4 预估（≤3e12）同量级且更紧。"银行式刷宿慧"两端封死：√(1e12/1e6)×5=5000 宿慧仍只 +49.9%。 + +### 4.2 工程闩锁（二道防线）实战记录 + +- test_runner stderr 出现 `BigNumber 超红线：1.000Qa > 1e14（上下文：test）`——`test_economy_formulas.gd:117` **故意触发**红线哨兵的断言用例，0 失败，属预期。 +- sim stderr 出现 `BigNumber 超红线：100.014T > 1e14（上下文：EconomyState.tick）`——devour 压力轮触发闩锁报错，sim 不崩、exit=0，二道防线按设计工作。 + +### 4.3 新观测登记（不阻塞本轮，建议 W6 处理） + +**devour 轮 H10 后越红线**：devour 轮（#12 压力场景）`peak_lifetime=2.498e14`（越线 25×）。构成：满 22 层怨煞 ×3.25 使购买力在 H10 后不枯竭（终态 output 1.08e11/s vs 最便宜升级 8e11，约 7.4s 即可再买一级）→ 挂机 2.7h 复现"数字通胀"形态。定性：与 [裁] §2.5 已登记的"愿景档边界"同族（后 H10 无界膨胀），且 devour 是超出标准路线的压力场景；门 #10 双断言按 [裁] §4.3 的主线路口径（greedy 单轮 + restart lifetime）判定，devour 不在其内。**建议**：W6 敕封/愿景档实装前校准项中，明确 #10 的"单轮峰值"是否取 max-over-runs（若取，需先设计侧处理后 H10 膨胀：gen12 rate 下调或 lifetime 显式软上限，即 [裁] §2.5 已列选项）。 + +--- + +## 5. 每项改动实测效果 + +| 改动 | 实测效果 | 对应门 | +|---|---|---| +| G-1 冤煞独立表 + effect 剖面（L1-15=0.15/L16-22=0）+ 削减速 −4%/cap 40% + m07 20% | #12：0.21×→**0.34×**（devour 38min→62min vs pure 182min 不变）；devour 层数时间线 1→22 全程可复盘（M-3 达成）；成就 #20（≥20 层）仍可达（devour 终态 22 层） | #12 转 PASS | +| 同上——标准路线零影响验证 | 三策略 `wrath_layers` 全程 0；cross 1.21× 与一轮逐值不差 | #7 不回归 | +| F-1 宿慧全局渐近 | #13 R2 0.06→0.48；红线 restart 9.5e15→7.007B；宿慧商店购买力不变（R2 开盘 193 宿慧 > 全店可购成本，商店正常运转——终局钱包 892 = 毛获 1030 − 商店消费 138） | #13/#10 根治 | +| F-2 跳过每档 cap 50 | R2 开盘白送 150 级/3 档（原 2850 级）；restart 终局班底 [70,60,50,30,20,20] 可见封顶形态；m04 贬值按 U-5 维持 P2 | #13 根治 | +| halls 目标列改写（阈值不动） | #3 greedy 全殿 ∈[80%,120%]（H1 贴 80% 下界为最紧点，[裁] §2.2 预判命中）；novice/random 的 #3/#14 策略噪声按裁定分流进 cross（1.21× PASS），不再误报 pacing | #3/#14 转 PASS | +| #2 不同条口径 + target_id | novice 前 300s 共 5 个不同 `(kind,target_id)`：`gen_01_youhun` 级数（重复购买只计 1）、`up_click_1`@127s、`up_eff_gen_01_youhun_1`@191s、`gen_02_yinbing`@263s、`up_eff_gen_01_youhun_2`@279s——与 [B§9]"gen2 及前几条效率升级"的预期构成逐项对上；greedy/random 各 2 条目（同条目重复购买）不再误报 | #2 转 PASS | +| M-2 商店口径 | R2 起 suihui_gain 193→279；#13 曲线含真实玩家加速 | #13 口径真实化 | + +**零经济改动的交叉验证**：殿门阈值、班底、升级、事件全部未动 → 三策略 H10 时刻一轮/二轮**逐分不差**（182/215/220min）、#4/#6/#8/#9 逐值相同——证明二轮所有门变化全部来自裁定内的目标表/口径/公式修改，无漂移性附带损伤。 + +--- + +## 6. 验证序列（全绿，证据留存 `logs/`，该目录已 gitignore） + +| 步骤 | 命令 | 结果 | +|---|---|---| +| 1 | `godot --headless --path . --import` | exit=0 | +| 2 | `-s res://src/tools/import_main.gd` | **PASS（10 表/238 行/0 违规）**，wrath_layers 22 行在列 | +| 3 | `-s res://src/tools/import_main.gd -- --validate-only` | **PASS（build 目录全部合规）** | +| 4 | `-s res://tests/unit/test_runner.gd` | **PASS（750 检查全过）**：number_format 14 / economy_formulas 160 / balance_data 78 / economy_state 101 / camera_data 86 / event_director 41 / boss_battle 230 / offline_contract 40 | +| 5 | 漂移门（git 不可用，改 Python 等价） | gen 脚本重跑前后 `data/sheets`（88 文件）+ `data/build`（10 文件）**SHA-256 逐字节一致**；import_all 差异化「~0 变更」 | +| 6 | `-s res://src/core/sim/sim_main.gd` | exit=0；报告落 `tests/sim_reports/report-2026-10-21.json`；硬门 {"5": true, "10": true}；sim 确定性（重跑报告逐值一致） | +| 7 | `--quit-after 200`（主场景 stage_root.tscn） | exit=0，**零 ERROR** | + +**确定性备注**：sim 无时钟依赖（RandomStrategy 种子 7、固定步长），二轮报告重跑逐值一致；`report-2026-10-21.json` 为可复现产物。 + +--- + +## 7. 待办与阻塞 + +### 7.1 阻塞：git 提交（环境缺失） + +本环境 **git.exe 不可用**（PATH 无、常见安装根目录全盘无、Python 无 pygit2/dulwich）。以下提交待主理人提供 git 路径或代为执行： + +- **提交信息**：「W5 sim 一轮裁定落地 + 二轮校准」 +- **改动文件**（D:\wrath-of-the-dead，均相对 HEAD `c534e95` 的新增/修改）： + - 数据：`data/sheets/wrath_layers.csv`（新）、`data/sheets/balance_tuning.csv`、`data/sheets/halls.csv`、`data/sheets/meta_upgrades.csv`；`data/build/wrath_layers.json`（新）及内容受影响的重生成 build JSON（`balance_tuning`/`halls`/`meta_upgrades`；其余 6 表 build 与 HEAD 逐字节一致，已由漂移门哈希证实） + - Schema：`data/schema/wrath_layers.schema.json`（新） + - 代码：`src/core/data/wrath_layer_def.gd`（新）、`balance_data.gd`、`economy_state.gd`、`prestige_model.gd`、`sim/gates.gd`、`sim/simulator.gd`、`sim/sim_main.gd`、`tools/gen_balance_sheets.py`、`tools/import_main.gd`、`tools/sheet_importer.gd`（R15/R16 预存 bug 修复） + - 测试：`tests/unit/cases/test_economy_state.gd`、`test_economy_formulas.gd`、`test_balance_data.gd` + - 文档：`CLAUDE.md`（表清单 9→10 补登）、`docs/engineering/2026-10-20-f-sim-round2-comparison.md`（本文件）、`tests/sim_reports/report-2026-10-21.json` +- **提交前检查**（git 可用后）：`git status` 应只含上述文件；`logs/` 已被 .gitignore 忽略（临时探查产物不入库）。 + +### 7.2 待裁定（按优先级） + +1. **#13 R4 残留**：选项 A/B/C/D（§3.3），工程建议 A 或 D；若选 C，工程立即可跑变体 sim 定量。 +2. **devour 后 H10 越红线**（§4.3）：是否纳入 #10 断言口径 + 设计侧处理选项，建议 W6 敕封校准项一并处理。 +3. **设计侧文档补登**：[B§12] 表清单补登 `wrath_layers`（架构文档在 C 盘设计仓，属文策渊）；若采选项 A，需同步 [B§4.3] 重开目标曲线修订条。 + +### 7.3 W6 输入备忘 + +- M-4：门 #9-b 的 β 口径标定（离线 8h 推进比）仍缺数据； +- M-5：门 #11（BossBattle 接入后）与 P-10/P-15 的 #11-d 触发条件； +- #13 触底支路（R5 起 ≥0.25×）本轮未覆盖——8h 预算只完成 R1-R4；如需验证触底支路，restart 预算提至 10-12h； +- 任务 #22/#27（W3/W4 批次提交）同受 git 缺失阻塞，可一并处理。 + +--- + +*报告完。二轮结论：裁定落地完整、硬门不回归、红线根治；#13 残留为 5.6% 边际校准残差，选项与定量已备，待拍板。* diff --git a/src/core/data/balance_data.gd b/src/core/data/balance_data.gd index b0b38ec..3b27b15 100644 --- a/src/core/data/balance_data.gd +++ b/src/core/data/balance_data.gd @@ -20,6 +20,7 @@ const SHEET_FILES: Array[String] = [ "generators", "upgrades", "halls", "hall_palettes", "boss_battles", "events", "meta_upgrades", "balance_tuning", "camera", # W3：per-hall 相机 rig 行（camera.csv；每殿恰一行） + "wrath_layers", # W5：冤煞层 22 行（wrath_layers.csv；[B§12] 漏登补登，G-1） ] var generators: Array[GeneratorDef] = [] @@ -30,6 +31,7 @@ var palettes: Array[PaletteDef] = [] var bosses: Array[BossDef] = [] var events: Array[EventDef] = [] var cameras: Array[CameraDef] = [] # W3：per-hall 相机 rig +var wrath_layers: Array[WrathLayerDef] = [] # W5：冤煞层 22 行（一层一行） var load_errors: Array[String] = [] @@ -43,6 +45,7 @@ var _camera_by_hall := {} var _palette_by_hall := {} var _event_by_id := {} var _tune := {} # id -> {"kind": String, "num": float, "text": String} +var _wrath_by_index := {} # W5：layer_index -> WrathLayerDef ## 从目录载入全部表（缺表 = load_errors，不静默） @@ -72,6 +75,7 @@ static func load_from_dir(dir: String) -> BalanceData: "events": bd._load_events(rows) "meta_upgrades": bd._load_meta(rows) "balance_tuning": bd._load_tuning(rows) + "wrath_layers": bd._load_wrath_layers(rows) bd._build_indexes() bd.load_errors.append_array(bd.check_references()) return bd @@ -245,6 +249,16 @@ func _load_tuning(rows: Array) -> void: } +func _load_wrath_layers(rows: Array) -> void: + for r in rows: + var d := WrathLayerDef.new() + d.id = str(r.get("id", "")) + d.layer_index = int(r.get("layer_index", 0)) + d.effect = float(r.get("effect", 0)) + d.cost = int(r.get("cost", 0)) + wrath_layers.append(d) + + # ---------------------------------------------------------------------------- # 索引与查询 # ---------------------------------------------------------------------------- @@ -267,6 +281,8 @@ func _build_indexes() -> void: _palette_by_hall[d.hall_id] = d for d in events: _event_by_id[d.id] = d + for d in wrath_layers: + _wrath_by_index[d.layer_index] = d func generator(id: String) -> GeneratorDef: @@ -307,6 +323,20 @@ func event(id: String) -> EventDef: return _event_by_id.get(id) +## W5：冤煞层行（layer_index 1 起；越界返回 null——buy_wrath_layer 先查上限） +func wrath_layer(layer_index: int) -> WrathLayerDef: + return _wrath_by_index.get(layer_index) + + +## W5：前 layers 层的 effect 合计（全局乘区加法；recompute 非热路径，逐行求和） +func wrath_layer_effect_sum(layers: int) -> float: + var sum := 0.0 + for d in wrath_layers: + if d.layer_index <= layers: + sum += d.effect + return sum + + ## 全局调参数（balance_tuning.csv）；缺失返回 default 并记 load_errors func tune_num(key: String, default_value: float) -> float: var row: Variant = _tune.get(key) @@ -368,4 +398,19 @@ func check_references() -> Array[String]: for c in cameras: if _hall_by_id.get(c.hall_id) == null: errs.append("camera.%s.hall_id 引用了不存在的殿：%s" % [c.id, c.hall_id]) + # W5：冤煞层表完整性（wrath_layers.csv；G-1 补登） + # ① tune_wrath_layers 与表行数交叉校验（双源必须一致） + # ② layer_index 从 1 连续递增（一行一层，无跳号/重号——x-unique 已挡重号） + var wrath_total := 0 + if _tune.has("tune_wrath_layers"): + wrath_total = int(_tune["tune_wrath_layers"].num) + if wrath_total != wrath_layers.size(): + errs.append("wrath_layers：tune_wrath_layers=%d 与表行数 %d 不一致（改层总数 = 加行 + 同步调参，走 ADR）" % [ + wrath_total, wrath_layers.size()]) + for i in wrath_layers.size(): + var wl := wrath_layers[i] + if wl.layer_index != i + 1: + errs.append("wrath_layers：第 %d 行 layer_index=%d（应从 1 连续递增）" % [i + 1, wl.layer_index]) + if wl.effect < 0.0: + errs.append("wrath_layers.%s：effect 为负（%f）" % [wl.id, wl.effect]) return errs diff --git a/src/core/data/wrath_layer_def.gd b/src/core/data/wrath_layer_def.gd new file mode 100644 index 0000000..897a8f4 --- /dev/null +++ b/src/core/data/wrath_layer_def.gd @@ -0,0 +1,24 @@ +class_name WrathLayerDef +extends RefCounted + +# ============================================================================ +# WrathLayerDef —— 冤煞层单行定义（wrath_layers.csv / W5 补登 G-1） +# +# 落点史（架构债的来历）：[B§12] 七张表清单漏登冤煞层——[B§3.2] 定义了 22 层 +# 效果/成本但从未给 CSV 落点，W2-W4 的实现是 balance_tuning 标量 +# tune_wrath_bonus=0.25 + economy_state.gd 线性乘层数（改一层效果要改代码）。 +# W5 sim 一轮裁定报告 §4.2 缺口 G-1 要求独立成表，工程照办。 +# +# 字段口径（与 schema description 同步）： +# layer_index —— 层序号（1..22；与 id 对齐） +# effect —— 该层购入后加入全局乘区的加法值（L1-15 = 0.15； +# L16-22 = 0.00，合计封顶 +225%；W5 裁定 P-25） +# cost —— 该层冤气成本 = round(8 × n^1.8)（[B§3.2] 公式逐行落盘） +# +# core 作用域纪律：纯数据、无 Node、无场景树依赖（架构 §2.2）。 +# ============================================================================ + +var id: String = "" +var layer_index: int = 0 +var effect: float = 0.0 +var cost: int = 0 diff --git a/src/core/data/wrath_layer_def.gd.uid b/src/core/data/wrath_layer_def.gd.uid new file mode 100644 index 0000000..fd1bbc3 --- /dev/null +++ b/src/core/data/wrath_layer_def.gd.uid @@ -0,0 +1 @@ +uid://b8jbk5kyq6q4m diff --git a/src/core/economy/economy_state.gd b/src/core/economy/economy_state.gd index b5818f9..db7b7c2 100644 --- a/src/core/economy/economy_state.gd +++ b/src/core/economy/economy_state.gd @@ -65,17 +65,18 @@ var mutiny_left: float = 0.0 # 剩余秒数 var _click_base: float = 1.0 var _suihui_div: float = 1e6 var _suihui_mult: float = 5.0 -var _suihui_global_pct: float = 0.03 +var _suihui_global_max: float = 0.5 # W5 F-1：宿慧全局渐近上限（tune_suihui_global_max） +var _suihui_global_scale: float = 420.0 # W5 F-1：渐近衰减尺度（tune_suihui_global_scale） var _enthrone_bonus: float = 0.25 var _skip_interval: int = 5 var _skip_gens: int = 3 var _skip_levels: int = 25 +var _skip_level_cap: int = 50 # W5 F-2：跳过每档获赠封顶（tune_skip_level_cap_per_gen） var _enthrone_rebirths: int = 2 var _enthrone_suihui_req: int = 60 var _souls_div: float = 10000.0 -var _wrath_bonus: float = 0.25 -var _wrath_penalty: float = 0.03 -var _wrath_penalty_cap: float = 0.3 +var _wrath_penalty: float = 0.04 # W5 裁定：每层宿慧削减 +4%（原 +3%） +var _wrath_penalty_cap: float = 0.4 # W5 裁定：削减封顶 40%（原 30%；m07 改 20%） var _mult: MultiplierSet # 三乘区计算器（输入由 recompute 写入） var _red_line_reported := false # 红线越界只报首次（防 sim 长跑每 tick 刷屏） @@ -90,17 +91,24 @@ func _init(p_data: BalanceData) -> void: _click_base = data.tune_num("tune_click_base", 1.0) _suihui_div = data.tune_num("tune_suihui_div", 1e6) _suihui_mult = data.tune_num("tune_suihui_mult", 5.0) - _suihui_global_pct = data.tune_num("tune_suihui_global_pct", 0.03) + # W5 裁定 F-1（sim 一轮裁定 §2.4）：宿慧全局加成由"+3%/级线性无界"改为 + # 渐近封顶 0.50×(1−e^(−宿慧/420))——R2 开盘 ×6.79、红线 9.5e15 的根因。 + # 旧 tune_suihui_global_pct 行已移除（线性公式被取代，防双源）。 + _suihui_global_max = data.tune_num("tune_suihui_global_max", 0.5) + _suihui_global_scale = data.tune_num("tune_suihui_global_scale", 420.0) _enthrone_bonus = data.tune_num("tune_enthrone_bonus", 0.25) _skip_interval = int(data.tune_num("tune_skip_interval", 5.0)) _skip_gens = int(data.tune_num("tune_skip_gens", 3.0)) _skip_levels = int(data.tune_num("tune_skip_levels", 25.0)) + # W5 裁定 F-2：跳过每档获赠 = min(floor(宿慧/5)×25, 50)（原无封顶 → R2 白送 2850 级） + _skip_level_cap = int(data.tune_num("tune_skip_level_cap_per_gen", 50.0)) _enthrone_rebirths = int(data.tune_num("tune_enthrone_rebirths", 2.0)) _enthrone_suihui_req = int(data.tune_num("tune_enthrone_suihui_req", 60.0)) _souls_div = data.tune_num("tune_souls_div", 10000.0) - _wrath_bonus = data.tune_num("tune_wrath_bonus", 0.25) - _wrath_penalty = data.tune_num("tune_wrath_penalty", 0.03) - _wrath_penalty_cap = data.tune_num("tune_wrath_penalty_cap", 0.3) + # W5 裁定（sim 一轮裁定 §2.3 配套）：削减速 −3%/层封顶 −30% → −4%/层封顶 −40%。 + # 冤煞层效果/成本已逐行入 wrath_layers.csv（G-1），tune_wrath_bonus/cost_* 已移除。 + _wrath_penalty = data.tune_num("tune_wrath_penalty", 0.04) + _wrath_penalty_cap = data.tune_num("tune_wrath_penalty_cap", 0.4) gen_levels.resize(data.generators.size()) recompute() @@ -361,11 +369,16 @@ func save_soul(lump: float) -> void: poll_halls() -## 下一层怨煞成本（[B§3.2]：round(8 × n^1.8)，n 从 1 起） +## 下一层怨煞成本（W5 G-1：读 wrath_layers.csv 逐行 cost 列，公式参数已入表） func wrath_layer_cost() -> int: - return PrestigeModel.wrath_layer_cost(wrath_layers + 1, - data.tune_num("tune_wrath_cost_base", 8.0), - data.tune_num("tune_wrath_cost_exp", 1.8)) + var row := data.wrath_layer(wrath_layers + 1) + if row != null: + return row.cost + # 表外（理论不可达：buy_wrath_layer 先查上限）：回退最末行成本供 UI 显示 + if data.wrath_layers.is_empty(): + return 0 + var last: WrathLayerDef = data.wrath_layers.back() + return last.cost ## 买一层怨煞；返回 {ok, reason, layers} @@ -382,7 +395,7 @@ func buy_wrath_layer() -> Dictionary: return {"ok": true, "reason": OK, "layers": wrath_layers} -## 冤气对宿慧的削减率（每层 +3% 封顶 30%；m07 改 15%，[B§3.2]） +## 冤气对宿慧的削减率（W5 裁定：每层 +4% 封顶 40%；m07 改 20%，[B§3.2]） func wrath_penalty() -> float: var override_cap := 0.0 var m07 := data.meta("meta_07") @@ -463,7 +476,10 @@ func _apply_rebirth_start_levels() -> void: if m04 != null and meta_ranks.get("meta_04", 0) > 0: interval = int(m04.effect_param) var skips := PrestigeModel.skip_count(suihui, interval) - var bonus := skips * _skip_levels + # W5 裁定 F-2（sim 一轮裁定 §2.4）：每档获赠 = min(floor(宿慧/间隔) × 25, 50) + # （原无封顶：193 宿慧 → 38 次触发 ×25 级 ×3 档 = 2850 级 ≈ R1 第 120 分钟 + # 状态开盘，第二轮 10 分钟烧穿 3h 主线；钳到 150 级后仍有清晰体感） + var bonus: int = mini(skips * _skip_levels, _skip_level_cap) var cover := int(mini(float(_skip_gens), float(gen_levels.size()))) for i in cover: gen_levels[i] += bonus @@ -481,6 +497,20 @@ func _apply_rebirth_start_levels() -> void: # 乘区重算（购买/轮回/敕封后调用；非热路径） # ---------------------------------------------------------------------------- +## W5 裁定 F-1（sim 一轮裁定 §2.4）：宿慧全局加成 = max × (1 − e^(−宿慧/scale)) +## 旧口径 +3%/级线性无界（193 宿慧 → +579% = ×6.79）是重开崩塌（R2=0.06）与 +## 红线越界（9.5e15）的根因；渐近函数同时封死两端——低宿慧区实践不可达 +## （首次转世必得 ≈193），"银行式刷宿慧"（挂 1e12 再转世得 5000）也只到 +50%。 +func _suihui_global_add() -> float: + if _suihui_global_scale <= 0.0: + return 0.0 + var s := float(suihui) + if s <= 0.0: + return 0.0 + var decay: float = exp(-s / _suihui_global_scale) + return _suihui_global_max * (1.0 - decay) + + func recompute() -> void: # 点击区：L1-4 为 ×2/级（计数）；L5-12 法器附加进全局区（P-15，[B§1] 公式口径） var click_levels := 0 @@ -496,14 +526,18 @@ func recompute() -> void: eff[u.target_gen] = int(eff.get(u.target_gen, 0)) + 1 for gid in eff: _mult.set_gen_eff(gid, eff[gid]) - # 全局区加法总和（[B§1]：宿慧×3% + 法器附加 + 冤煞层 + 敕封 25% + m08 + m12） + # 全局区加法总和（[B§1]：宿慧渐近 + 法器附加 + 冤煞层 + 敕封 25% + m08 + m12） # ⚠ 防双重计入约束（systems-spec §1.2 B2 / 第三章 P-10 耦合条，用户 2026-10-20 拍板）： # L5-12 的 click_output_pct（8×+1% 产出/s）进全局区 ⇒ 提升产出/s ⇒ **同时**提升 # 军列 DPS 与殿王战点击伤害（click_dmg = P × κ）。这是可接受的（点击树本就该是 # boss 战投资），但 **不得**再把它计入 κ 的分子——κ 只按"已购点击升级条数/12" # （BossBattle.click_line_ratio）计算，杜绝二次放大。改此函数前先读 systems-spec §1.2。 - var gadd := float(suihui) * _suihui_global_pct - gadd += float(wrath_layers) * _wrath_bonus + # W5 裁定 F-1（sim 一轮裁定 §2.4）：宿慧全局项 3%×宿慧（线性无界）→ + # 0.50×(1−e^(−宿慧/420)) 渐近封顶。查点：193→+18.4%；386→+30.1%； + # 579→+37.4%；772→+42.0%；1550→+48.8%；∞→+50%（同时堵死"银行式刷宿慧"）。 + var gadd: float = _suihui_global_add() + # W5 G-1：冤煞层效果逐行求和（wrath_layers.csv；L1-15 = +15%/层，L16-22 = 0） + gadd += data.wrath_layer_effect_sum(wrath_layers) if enthroned: gadd += _enthrone_bonus for u in data.upgrades: diff --git a/src/core/economy/prestige_model.gd b/src/core/economy/prestige_model.gd index fcb0ce4..b4ca088 100644 --- a/src/core/economy/prestige_model.gd +++ b/src/core/economy/prestige_model.gd @@ -6,9 +6,12 @@ extends RefCounted # # 公式（[B§4]，参数全部来自 balance_tuning.csv，代码零硬编码）： # 宿慧获得 = floor(√(本轮累计阴德 / div) × mult) × (1 + 宿慧获取加成) -# × (1 - 冤气削减) 削减封顶 30%（m07 可降至 15%） -# 跳过机制：每 skip_interval 级宿慧 → 前 skip_gens 档班底各 +skip_levels 级 -# （m04 把间隔 5 改为 4；工程裁定叠加，见 provenance P-11） +# × (1 - 冤气削减) 削减封顶 40%（m07 可降至 20%；W5 裁定） +# 跳过机制：每 skip_interval 级宿慧 → 前 skip_gens 档班底各 +skip_levels 级， +# 每档封顶 skip_level_cap（W5 裁定 F-2；m04 把间隔 5 改为 4； +# 工程裁定叠加，见 provenance P-11） +# 宿慧全局加成（economy_state.recompute）：0.50×(1−e^(−宿慧/420)) 渐近封顶 +# （W5 裁定 F-1；旧 3%/级线性无界已废止，tune_suihui_global_pct 移除） # 敕封触发：转世 ≥ enthrone_rebirths（[B§4.4] 约第 2-3 轮） # 重开曲线目标：1 : 0.6 : 0.4 : 0.3，第 5 轮起触底 ≥0.25×（门 #13 断言） # @@ -31,12 +34,14 @@ static func suihui_gain(merit_run: float, div: float, mult: float, gain_pct: flo ## 冤煞层成本（[B§3.2]：第 n 层 = round(base × n^exp)，n 从 1 起） +## W5 起成本已逐行落 wrath_layers.csv（运行时读表）；本函数保留为**公式基准**—— +## gen_balance_sheets.py 生成 cost 列与 test_economy_formulas 交叉校验用。 static func wrath_layer_cost(layer_index: int, base: float, exp: float) -> int: var n := float(maxi(1, layer_index)) return int(round(base * pow(n, exp))) -## 冤气对宿慧的削减率（每层 +3%，封顶 30%；m07 改为 15%） +## 冤气对宿慧的削减率（W5 裁定：每层 +4%，封顶 40%；m07 改 20%） static func wrath_penalty(layers: int, per_layer: float, cap: float, override_cap: float) -> float: var effective_cap := cap if override_cap > 0.0: diff --git a/src/core/sim/gates.gd b/src/core/sim/gates.gd index f395ce3..e3fa788 100644 --- a/src/core/sim/gates.gd +++ b/src/core/sim/gates.gd @@ -8,6 +8,13 @@ extends RefCounted # W2 状态：#11（殿王战胜率）deferred——BossBattle 逻辑 W3 落地后接入； # #12 用"策略级吞噬对照"近似（事件流 W3 接入后换真口径）。 # 硬门（W6 起 CI 红）：#5 主线时长 / #10 数值安全；其余 informational（§7.2）。 +# +# W5 门定义修订（sim 一轮裁定报告 §4.3，用户四项拍板全采纳）： +# #2 前 5min 购买**事件计数** → **不同条目数**（(kind,target_id) 去重，∈[3,6]） +# #3 对照 halls.csv 新到达目标列（10/20/36/56/80/102/122/142/164/180）±20% +# #14 同 #3 目标表；主口径 greedy（novice/random 噪声归 cross 门观测） +# #10 单轮峰值 → **双断言**（单轮 + restart 5 轮 lifetime 均 ≤1e14，见 gate_peak_double） +# #13 前 4 轮容差 ±40% → ±25%（R5 起触底 ≥0.25× 口径不变） # ============================================================================ const HARD_GATES: Array[int] = [5, 10] # W6 起 CI 硬门（架构 §7.2） @@ -19,10 +26,12 @@ static func evaluate_report(report: Dictionary, data: BalanceData) -> Dictionary # #1 首购点击 ∈[10,20] var c1 := int(report.get("clicks_before_first_purchase", 0)) g[1] = {"pass": c1 >= 10 and c1 <= 20, "detail": "首购点击 %d（目标 [10,20]）" % c1} - # #2 前 5 分钟购买 ∈[3,6] - var c2 := int(report.get("purchases_first_5min", 0)) - g[2] = {"pass": c2 >= 3 and c2 <= 6, "detail": "前 5min 购买 %d 次（目标 [3,6]）" % c2} - # #3 解锁时间表（前 30min ±50%，之后 ±30%） + # #2 前 5min 不同条目数 ∈[3,6]（W5 修订 §4.3：口径 = (kind,target_id) 去重； + # [B§9] 原文预期构成是"新东西首次亮相"而非同一 growth 条目的重复级数购买； + # sim purchases 逐条目记录 target_id 是复测前提，M-1） + var c2 := _distinct_items_first_5min(report) + g[2] = {"pass": c2 >= 3 and c2 <= 6, "detail": "前 5min 不同条目 %d（目标 [3,6]）" % c2} + # #3 解锁时间表（W5 修订 §4.3：对照 halls.csv 新到达目标列 ±20%；主口径 greedy） g[3] = _gate_hall_table(report) # #4 购买间隔无 >60min 塌陷 g[4] = _gate_purchase_gap(report) @@ -36,17 +45,41 @@ static func evaluate_report(report: Dictionary, data: BalanceData) -> Dictionary g[8] = _gate_payback(data) # #9 离线契约 v2（P-8 裁定：拆 a/b/c 三条；a 条由 FAIL 转 PASS） g[9] = gate_offline_v2(data) - # #10 终局 ≤1e14 + # #10 终局 ≤1e14（单报告口径；W5 修订 §4.3：主口径另叠加 restart lifetime + # 双断言——见 gate_peak_double，由 sim_main 组装进 primary） var peak := float(report.get("peak_lifetime", 0.0)) g[10] = {"pass": peak <= BigNumber.RED_LINE, "detail": "峰值累计 %s（红线 1e14）" % NumberFormat.short(peak, 3)} # #11 殿王战（W3 deferred） g[11] = {"pass": true, "detail": "deferred：BossBattle 逻辑 W3 接入后评估", "deferred": true} - # #14 殿门标定 ∈[80%,120%] + # #14 殿门标定 ∈[80%,120%]（W5 修订 §4.3：目标表随 halls.csv 更新；主口径 greedy， + # novice/random 的策略噪声进 cross 门观测而非 pacing 判定） g[14] = _gate_hall_calibration(report) return g +## 门 #10 双断言（W5 修订 §4.3）：单轮峰值 ≤1e14 **且** restart 5 轮 lifetime 峰值 ≤1e14。 +## 首轮越界 9.5e15 正发生在旧单轮口径的盲区（restart 末段挂机通胀）。 +static func gate_peak_double(single_peak: float, restart_peak: float) -> Dictionary: + var ok := single_peak <= BigNumber.RED_LINE and restart_peak <= BigNumber.RED_LINE + return {"pass": ok, + "detail": "单轮峰值 %s；restart lifetime %s（红线 1e14）" % [ + NumberFormat.short(single_peak, 3), NumberFormat.short(restart_peak, 3)]} + + +## 门 #2 口径（W5 修订）：前 5min 购买的**不同条目**数。 +## 条目 = (kind, target_id) 元组——同一班底的重复级数购买/同一条升级只计 1 次 +## （[B§9] 预期构成 = gen2 首购 + 前几条效率升级等"新东西首次亮相"）。 +static func _distinct_items_first_5min(report: Dictionary) -> int: + var seen := {} + for p in report.get("purchases", []): + if float(p.t) > 300.0: + continue + var key := "%s|%s" % [str(p.get("kind", "?")), str(p.get("target_id", "?"))] + seen[key] = true + return seen.size() + + ## 跨策略门 #7（主导策略极差 <1.5×）：入参 = 各策略报告数组 static func evaluate_cross(reports: Array) -> Dictionary: var times: Array = [] @@ -98,10 +131,11 @@ static func evaluate_restart(report: Dictionary) -> Dictionary: for i in intervals.size(): var ratio := float(intervals[i]) / base var want: float = targets[i] if i < targets.size() else PrestigeModel.RESTART_FLOOR - # 容差：前 4 轮 ±40%，第 5 轮起只查触底 ≥0.25× + # 容差（W5 修订 §4.3）：前 4 轮 ±25%（原 ±40% 过宽，R2=0.06 也能混过 0.6 的下半带）； + # 第 5 轮起只查触底 ≥0.25×（口径不变） var good: bool if i < targets.size(): - good = absf(ratio - want) <= 0.4 * want + good = absf(ratio - want) <= 0.25 * want else: good = ratio <= PrestigeModel.RESTART_FLOOR * 1.2 if not good: @@ -129,7 +163,10 @@ static func _gate_hall_table(report: Dictionary) -> Dictionary: if target_sec <= 0.0: continue var ratio := float(h.at_sec) / target_sec - var tol := 0.5 if target_sec <= 1800.0 else 0.3 # 目标 ≤30min 的殿 ±50% + # W5 修订 §4.3：全段 ±20%（旧"前 30min ±50%/之后 ±30%"的分段容差随 + # halls.csv 新目标列 10/20/36/…/164/180 一并废止——目标列已按 sim + # 实测重标，不再需要前段放宽；主口径 greedy） + var tol := 0.2 if ratio < 1.0 - tol or ratio > 1.0 + tol: ok = false parts.append("H%d %.0f/%.0fmin" % [int(h.no), float(h.at_sec) / 60.0, target_sec / 60.0]) diff --git a/src/core/sim/sim_main.gd b/src/core/sim/sim_main.gd index 4988aae..b06288c 100644 --- a/src/core/sim/sim_main.gd +++ b/src/core/sim/sim_main.gd @@ -33,6 +33,7 @@ func _initialize() -> void: var r := Simulator.run(data, strategy, {"max_sec": 4.0 * 3600.0}) reports.append(r) report.runs.append(r) + var greedy_report: Dictionary = reports[1] # 主口径报告（#3/#10/#14 均采 greedy） # 每报告门（各策略全量评） for r in reports: report.gates[str(r.strategy)] = SimGates.evaluate_report(r, data) @@ -45,16 +46,25 @@ func _initialize() -> void: report.primary = primary # 跨策略门 #7 report.cross = SimGates.evaluate_cross(reports) - # 门 #13 重开曲线（greedy 5 轮，6h 预算） + # 门 #13 重开曲线（greedy 4 轮 + 宿慧商店全买，8h 预算） + # W5 M-2：含商店口径（m08×2 +50% / m01/m02 白送级数）才是真实玩家重启曲线 + # （裁定 §4.5 预估表即此口径）；预算 6h→8h：预估 R1-R4 累计 ≈399min， + # 6h 会在第 4 轮转世前截断（旧口径 R2-R4 仅 ~20min 所以从未暴露）。 var restart_report := Simulator.run(data, GreedyStrategy.new(), - {"max_sec": 6.0 * 3600.0, "rebirths": 4}) + {"max_sec": 8.0 * 3600.0, "rebirths": 4, "buy_meta": true}) report.restart = SimGates.evaluate_restart(restart_report) report.runs.append(restart_report) + # 门 #10 双断言（W5 修订 §4.3）：primary 单轮口径叠加 restart 5 轮 lifetime 口径 + # （首轮越界 9.5e15 正发生在旧单轮口径盲区——restart 末段挂机通胀） + primary[10] = SimGates.gate_peak_double( + float(greedy_report.get("peak_lifetime", 0.0)), + float(restart_report.get("peak_lifetime", 0.0))) # 门 #12 怨气取舍对照（greedy devour vs pure，各 4h） var pure := Simulator.run(data, GreedyStrategy.new(), {"max_sec": 4.0 * 3600.0}) var devour := Simulator.run(data, GreedyStrategy.new(), {"max_sec": 4.0 * 3600.0, "devour": true}) report.wrath_tradeoff = SimGates.evaluate_wrath_tradeoff(pure, devour) + report.runs.append(devour) # W5 M-3：devour 轮进 runs（层数构成/wrath_layers 时间线可复盘） # 硬门状态汇总（W6 起 CI 红；W2 informational） var hard := {} for gate_no in SimGates.HARD_GATES: diff --git a/src/core/sim/simulator.gd b/src/core/sim/simulator.gd index ee37ee8..5b817a9 100644 --- a/src/core/sim/simulator.gd +++ b/src/core/sim/simulator.gd @@ -10,17 +10,25 @@ extends RefCounted # W2 范围：策略 novice/greedy/random；事件/殿王战未接入（W3）， # 因此门 #11 在 gates.gd 标记 deferred；门 #12 用"策略级吞噬对照"近似 # （wrath 入口 devour API 已就绪，W3 换真事件流）。 +# +# W5 补测落地（sim 一轮裁定报告 §7）： +# M-1：purchases 逐条目记录（kind + target_id + count）——门 #2"不同条目" +# 口径的复测前提（旧日志只有聚合 count，无法去重）； +# M-2：restart 运行消费宿慧商店（opts.buy_meta：按购买力全买 m01-m12）—— +# [B§4.2] 重启曲线在含商店口径下才真实（m08×2 +50% / m01/m02 白送级数）； +# M-3：timeline 快照补 wrath_layers + devour 运行进 runs 数组（sim_main）。 # ============================================================================ const SNAPSHOT_INTERVAL := 60 # 里程碑快照间隔（秒） -## 跑一个策略。opts：{max_sec, seed, rebirths, devour} +## 跑一个策略。opts：{max_sec, seed, rebirths, devour, buy_meta} ## 返回报告 Dictionary（ gates.gd 的输入）。 static func run(data: BalanceData, strategy: SimStrategy, opts: Dictionary = {}) -> Dictionary: var max_sec := float(opts.get("max_sec", 4.0 * 3600.0)) var rebirths_max := int(opts.get("rebirths", 0)) var devour := bool(opts.get("devour", false)) + var buy_meta := bool(opts.get("buy_meta", false)) # W5 M-2：restart 消费宿慧商店 var econ := EconomyState.new(data) var t := 0.0 var halls: Array = [] @@ -30,8 +38,8 @@ static func run(data: BalanceData, strategy: SimStrategy, opts: Dictionary = {}) var clicks := 0 var clicks_before_first := 0 var first_purchase_sec := -1.0 - var prev_bought := 0 - var prev_levels_sum := 0 + var prev_bought_ids: Dictionary = econ.bought.duplicate() + var prev_gen_levels: Array[int] = econ.gen_levels.duplicate() var prev_halls := 0 var abort_reason := "max_sec" while t < max_sec: @@ -51,37 +59,47 @@ static func run(data: BalanceData, strategy: SimStrategy, opts: Dictionary = {}) halls.append({"no": no, "at_sec": t, "target_min": data.hall_by_no(no).target_min if data.hall_by_no(no) else 0.0}) prev_halls = econ.halls_passed - # 购买事件（升级购入 + 班底级数增长） - if econ.bought.size() > prev_bought: + # 购买事件（W5 M-1：逐条目记录 kind + target_id + count—— + # 门 #2"不同条目数"口径按 (kind,target_id) 去重，聚合计数无法复测） + for uid in econ.bought: + if prev_bought_ids.has(uid): + continue if first_purchase_sec < 0.0: first_purchase_sec = t clicks_before_first = clicks - purchases.append({"t": t, "kind": "upgrade", "count": econ.bought.size() - prev_bought}) - prev_bought = econ.bought.size() - var lv_sum := 0 - for lv in econ.gen_levels: - lv_sum += lv - if lv_sum > prev_levels_sum: + purchases.append({"t": t, "kind": "upgrade", + "target_id": str(uid), "count": 1}) + prev_bought_ids = econ.bought.duplicate() + for gi in econ.gen_levels.size(): + var lv: int = econ.gen_levels[gi] + if lv <= prev_gen_levels[gi]: + continue if first_purchase_sec < 0.0: first_purchase_sec = t clicks_before_first = clicks - purchases.append({"t": t, "kind": "generator", "count": lv_sum - prev_levels_sum}) - prev_levels_sum = lv_sum + purchases.append({"t": t, "kind": "generator", + "target_id": econ.data.generators[gi].id, "count": lv - prev_gen_levels[gi]}) + prev_gen_levels = econ.gen_levels.duplicate() # 里程碑快照 if int(t) % SNAPSHOT_INTERVAL == 0: timeline.append({ "t": t, "merit": econ.merit, "run_total": econ.merit_run_total, "output": econ.output_per_sec(), "levels": econ.gen_levels.duplicate(), "halls": econ.halls_passed, "suihui": econ.suihui, + "wrath_layers": econ.wrath_layers, "min_upgrade_cost": _min_visible_upgrade_cost(econ), }) # prestige（H10 达成 → 转世，重计时钟） if rebirths_max > 0 and econ.prestige_available() and rebirths.size() < rebirths_max: var r := econ.do_prestige() rebirths.append({"at_sec": t, "suihui_gain": int(r.get("suihui_gain", 0))}) + # 转世重置本轮购买跟踪（开局白送级数/已购清空不算"购买事件"） prev_halls = 0 - prev_bought = 0 - prev_levels_sum = 0 + prev_bought_ids = econ.bought.duplicate() + prev_gen_levels = econ.gen_levels.duplicate() + # W5 M-2：按购买力全买宿慧商店（真实玩家口径；#13 预估曲线即此口径） + if buy_meta: + _buy_all_metas(econ) if econ.halls_passed >= data.halls.size(): abort_reason = "h10_reached" return { @@ -114,6 +132,18 @@ static func _count_before(purchases: Array, sec: float) -> int: return n +## W5 M-2：按购买力全买宿慧商店（循环至无可购——m08 max_rank 2 要买满两阶）。 +## 顺序无关（全部可购即全买）；m12 条件未达（gen12 未解锁）时 meta_available 自然挡下。 +static func _buy_all_metas(econ: EconomyState) -> void: + var changed := true + while changed: + changed = false + for m in econ.data.meta_upgrades: + if econ.meta_available(m): + econ.buy_meta(m.id) + changed = true + + ## 当前最便宜"可见且未购"升级成本（门 #6 无卡墙检查用；INF = 无） static func _min_visible_upgrade_cost(econ: EconomyState) -> float: var best := INF diff --git a/src/tools/gen_balance_sheets.py b/src/tools/gen_balance_sheets.py index 1dc4339..32ece28 100644 --- a/src/tools/gen_balance_sheets.py +++ b/src/tools/gen_balance_sheets.py @@ -17,12 +17,17 @@ gen_balance_sheets.py —— Balance Bible v1.0 → CSV 落表 + build JSON 生 - 稳定字符串 ID：永不重编号、永不复用（W1 已分配的 ID 原样保留） - 本脚本只写 data/sheets/ 与 data/build/，不碰 src/ -表清单（8 张）： +表清单（9 张，本脚本生成）： [B§12] 七张内容表：generators / upgrades / halls / hall_palettes / boss_battles / events / meta_upgrades - + balance_tuning（架构 §2.1 已列名；容纳 [B§3.2 冤煞层 / §4 prestige 参数 / + + balance_tuning（架构 §2.1 已列名；容纳 [B§3.2 冤煞削减速 / §4 prestige 参数 / §8 离线衰减表 / §1 三乘区软上限] —— 这些全局参数在七张内容表中无归属行， 按数据驱动红线"零硬编码"必须入表） + + wrath_layers（W5 补登，裁定报告 §4.2 缺口 G-1：[B§12] 表清单漏登冤煞层表。 + 22 行 layer_index/effect/cost；effect L1-15=0.15 / L16-22=0.00（W5 裁定 + §4.1 #1/#2：+25%/层线性到底 → 15 层后归零，合计封顶 +225%）； + cost = round(8×n^1.8)（[B§3.2] 原公式的逐行落盘，公式参数 base/exp/bonus + 三行已从 balance_tuning 移除——表即唯一源，零硬编码） [B] prose 与表格不一致处的采信规则（详见 docs/engineering/2026-10-19-f-w2-csv-provenance.md）： P-1 速率 prose "gen2 起 = 8^(n-1)" 与表值（gen2=1=8^0）差一；采信表值 → rate=8^(n-2) @@ -61,6 +66,21 @@ gen_balance_sheets.py —— Balance Bible v1.0 → CSV 落表 + build JSON 生 全部依据 design/gdd/2026-10-20-F-systems-spec.md §1.2 P-24（W4 补登）W3 的 7 行 balance_tuning（相机 5 行 + boss_preview/event_first） 原为 CSV 手改、生成器漏登——本次一并补登，防重跑丢行 + P-25 ~ P-28（W5，sim 一轮裁定报告 2026-10-20-F-sim-round1-adjudication §4.1； + 用户四项拍板全采纳，工程照抄数值不发明）： + P-25 冤煞层 effect：+25%/层 ×22（线性到底）→ L1-15=0.15 / L16-22=0.00， + 合计封顶 +225%（裁定 #1/#2：代价 10 层封顶而收益 22 层不封顶 = + 第 11 层起零成本纯收益，devour 4.8× 速通关、门 #12 FAIL） + P-26 冤煞削减速：−3%/层封顶 −30% → −4%/层封顶 −40%；m07 心安理得 + 削减 30%→15% 联动改为 40%→20%（裁定 #3/#4，保"减免一半"语义） + P-27 宿慧全局加成：+3%×宿慧（线性无界）→ 0.50×(1−e^(−宿慧/420)) + 渐近封顶（裁定 #5/#6，F-1；R2 开盘 ×6.79 → ×1.18，红线 9.5e15 根治）； + 跳过机制每档赠级 min(floor(宿慧/5)×25, 50)（裁定 #7，F-2） + P-28 halls.csv 到达目标列 H1-H9 改 10/20/36/56/80/102/122/142/164 + （H10 保持 180；殿门阈值列一行不动——[B§6] 目标列与 [B§9] 事件表 + 矛盾，过期的是目标列，经济曲线不动只修验收尺子） + P-29 m08 更名：敕封恩典 → 幽冥恩荫 / Shadow Patronage（[裁§3 P-4] 既定 + 消歧——与敕封自动 +25% 字面重叠，本轮确认落盘） P-14 tune_souls_div=10000 新增（[B§6]"超度 = floor(本轮累计阴德÷10,000)"， 叙事计数器不设闸门）；GDD §4.1 的超度事件计数口路由 W3 事件系统承接 P-15 法器附加（点击 L5-12，CSV click_output_pct）乘区口径：[B§1] 总公式与 @@ -114,18 +134,25 @@ def gen_rate(n: int) -> float: # --------------------------------------------------------------------------- # [B§6] 十殿总表。gate_merit = 殿门条件（本轮累计阴德，单计数器 [B§0.1]） +# +# target_min（到达目标，分钟）= 验收尺子（门 #3/#14 对照），**不是经济曲线**： +# W5 裁定 P-28（sim 一轮裁定报告 §2.2）：[B§6] 目标列（25/42/62/…/175/180）与 +# [B§9] 事件表（H1@8-10min）及冤气解锁链（H1≤12min）三者不能同时为真——过期的 +# 是目标列。H1/H2 取 [B§9] 带中值（设计锚点不许漂移）；H3-H9 取 sim 首轮 greedy +# 实测取整（设计起点，待二轮校准）；H10 保持 180（[B§6] 原值，门 #5 已 PASS）。 +# 殿门阈值列（gate_merit）一行不动——经济曲线不动，只修验收尺子。 # --------------------------------------------------------------------------- HALLS = [ # (id, no, king_cn, king_en[临时], motif_cn, motif_en[临时], target_min, gate_merit, unlock_gen, unlock_gate, palette_id, is_prestige_gate) - ("hall_01_qinguang", 1, "秦广王", "King Qinguang", "孽镜台（照心）", "Mirror of Karma", 25, 2000, "gen_03_guizu", "up_gate_guizu", "pal_hall_01", "false"), - ("hall_02_chujiang", 2, "楚江王", "King Chujiang", "寒冰狱", "Ice Hell", 42, 30000, "gen_04_biliao", "up_gate_biliao", "pal_hall_02", "false"), - ("hall_03_songdi", 3, "宋帝王", "King Songdi", "剥皮亭", "Flaying Pavilion", 62, 300000, "gen_05_tangpu", "up_gate_tangpu", "pal_hall_03", "false"), - ("hall_04_wuguan", 4, "五官王", "King Wuguan", "沸汤/毒蛇", "Scalding Cauldron", 84, 2000000, "gen_06_nanmin", "up_gate_nanmin", "pal_hall_04", "false"), - ("hall_05_yama", 5, "阎罗王", "King Yama", "叫唤地狱/铁床", "Wailing Hell", 105, 10000000, "gen_07_shuban", "up_gate_shuban", "pal_hall_05", "false"), - ("hall_06_biancheng",6, "卞城王", "King Biancheng","石碾", "Stone Roller", 125, 40000000, "gen_08_bingfang","up_gate_bingfang","pal_hall_06", "false"), - ("hall_07_taishan", 7, "泰山王", "King Taishan", "热油火坑", "Boiling Oil Pit", 143, 120000000, "gen_09_wodi", "up_gate_wodi", "pal_hall_07", "false"), - ("hall_08_dushi", 8, "都市王", "King Dushi", "泥犁/大石", "Avici Stone", 160, 350000000, "gen_10_xingzhe", "up_gate_xingzhe", "pal_hall_08", "false"), - ("hall_09_pingdeng", 9, "平等王", "King Pingdeng", "拔舌/铁树", "Tongue-Ripping Iron Tree",175, 800000000, "gen_11_yinhun", "up_gate_yinhun", "pal_hall_09", "false"), + ("hall_01_qinguang", 1, "秦广王", "King Qinguang", "孽镜台（照心）", "Mirror of Karma", 10, 2000, "gen_03_guizu", "up_gate_guizu", "pal_hall_01", "false"), + ("hall_02_chujiang", 2, "楚江王", "King Chujiang", "寒冰狱", "Ice Hell", 20, 30000, "gen_04_biliao", "up_gate_biliao", "pal_hall_02", "false"), + ("hall_03_songdi", 3, "宋帝王", "King Songdi", "剥皮亭", "Flaying Pavilion", 36, 300000, "gen_05_tangpu", "up_gate_tangpu", "pal_hall_03", "false"), + ("hall_04_wuguan", 4, "五官王", "King Wuguan", "沸汤/毒蛇", "Scalding Cauldron", 56, 2000000, "gen_06_nanmin", "up_gate_nanmin", "pal_hall_04", "false"), + ("hall_05_yama", 5, "阎罗王", "King Yama", "叫唤地狱/铁床", "Wailing Hell", 80, 10000000, "gen_07_shuban", "up_gate_shuban", "pal_hall_05", "false"), + ("hall_06_biancheng",6, "卞城王", "King Biancheng","石碾", "Stone Roller", 102, 40000000, "gen_08_bingfang","up_gate_bingfang","pal_hall_06", "false"), + ("hall_07_taishan", 7, "泰山王", "King Taishan", "热油火坑", "Boiling Oil Pit", 122, 120000000, "gen_09_wodi", "up_gate_wodi", "pal_hall_07", "false"), + ("hall_08_dushi", 8, "都市王", "King Dushi", "泥犁/大石", "Avici Stone", 142, 350000000, "gen_10_xingzhe", "up_gate_xingzhe", "pal_hall_08", "false"), + ("hall_09_pingdeng", 9, "平等王", "King Pingdeng", "拔舌/铁树", "Tongue-Ripping Iron Tree",164, 800000000, "gen_11_yinhun", "up_gate_yinhun", "pal_hall_09", "false"), ("hall_10_zhuanlun",10, "转轮王", "King of the Wheel", "轮回道（六道环）","Wheel of Rebirth", 180, 1500000000, "none", "none", "pal_hall_10", "true"), ] @@ -191,8 +218,8 @@ META_UPGRADES = [ ("meta_04", "天生熟练", "Born Skilled", "skip_interval", "", 4, 12, 1, "none", "跳过机制从每 5 级加快为每 4 级"), ("meta_05", "阴司人脉", "Netherworld Connections","offline_pct", "", 0.25, 6, 1, "none", "离线效率 +25%"), ("meta_06", "斩鬼刃", "Ghost-Slaying Blade", "boss_click_pct", "", 0.30, 10, 1, "none", "殿王战点击伤害 +30%"), - ("meta_07", "心安理得", "Easy Conscience", "wrath_penalty_set", "", 0.15, 15, 1, "none", "冤气对宿慧的削减 30%→15%"), - ("meta_08", "敕封恩典", "Grace of Enthronement","global_pct", "", 0.25, 20, 2, "none", "全局 +25%（每阶）"), + ("meta_07", "心安理得", "Easy Conscience", "wrath_penalty_set", "", 0.20, 15, 1, "none", "冤气对宿慧的削减 40%→20%"), + ("meta_08", "幽冥恩荫", "Shadow Patronage", "global_pct", "", 0.25, 20, 2, "none", "全局 +25%（每阶）"), ("meta_09", "阴阳眼", "Yin-Yang Eye", "event_freq_pct", "", 0.20, 10, 1, "none", "事件触发频率 +20%"), ("meta_10", "超度加速", "Salvation Acceleration","souls_mult", "", 2, 8, 1, "none", "超度计数获取 ×2"), ("meta_11", "老马识途", "Old Horse Knows the Way","bulk_unlock", "", 0, 5, 1, "none", "开局即可用批量 ×10"), @@ -200,7 +227,30 @@ META_UPGRADES = [ ] # --------------------------------------------------------------------------- -# [B§3.2] 冤煞层 22 层参数 / [B§8] 离线衰减表 / [B§4] prestige 参数 / [B§1] 软上限 +# [B§3.2] 冤煞层 22 层 → **独立成表 wrath_layers.csv**（W5 裁定 G-1 补登） +# [B§12] 七张表清单漏登冤煞层；原落点 = balance_tuning 标量（tune_wrath_bonus） +# + economy_state.gd 线性乘层数（架构债）。W5 起逐行落表： +# effect：L1-L15 = 0.15 / L16-L22 = 0.00（W5 裁定 P-25：+25%/层线性到底 → +# 15 层后归零，合计封顶 +225%；16-22 层保留入口作收藏/成就向， +# 叙事"怨煞噬主，过盛不顶用"） +# cost ：第 n 层 = round(8 × n^1.8)（[B§3.2] 原公式逐行落盘；公式与 +# PrestigeModel.wrath_layer_cost / 单测 test_economy_formulas 一致） +# 削减速（−4%/层封顶 −40%）不随层变，按纪律留 balance_tuning 公式行。 +# --------------------------------------------------------------------------- +WRATH_LAYERS_TOTAL = 22 +WRATH_EFFECT_FULL = 0.15 # W5 裁定 P-25：每层全局加法 +15% +WRATH_EFFECT_LAST_LAYER = 15 # W5 裁定 P-25：第 16 层起 effect 归零 +WRATH_COST_BASE = 8.0 # [B§3.2] 成本公式基数 +WRATH_COST_EXP = 1.8 # [B§3.2] 成本公式指数 + + +def wrath_layer_cost(n: int) -> int: + """[B§3.2] 第 n 层成本 = round(8 × n^1.8)，n 从 1 起。""" + return int(round(WRATH_COST_BASE * (float(n) ** WRATH_COST_EXP))) + + +# --------------------------------------------------------------------------- +# [B§8] 离线衰减表 / [B§4] prestige 参数 / [B§1] 软上限 # → balance_tuning.csv（key-value 行；架构 §2.1） # --------------------------------------------------------------------------- TUNING = [ @@ -217,19 +267,16 @@ TUNING = [ ("tune_offline_band3_rate","number", 0.4, "", "[B§8] 离线 8-24h 速率"), ("tune_offline_band4_rate","number", 0.1, "", "[B§8] 离线 >24h 速率 10%"), ("tune_offline_cap_h", "number", 72, "", "[B§8] 离线硬上限 72h 封顶"), - ("tune_wrath_layers", "number", 22, "", "[B§3.2] 冤煞层总数 22"), - ("tune_wrath_cost_base", "number", 8, "", "[B§3.2] 第 n 层成本 = round(8 × n^1.8)"), - ("tune_wrath_cost_exp", "number", 1.8, "", "[B§3.2] 冤煞层成本指数"), - ("tune_wrath_bonus", "number", 0.25, "", "[B§3.2] 每层全局 +25%（加法，进全局乘区）"), - ("tune_wrath_penalty", "number", 0.03, "", "[B§3.2] 每层宿慧获取削减 +3%"), - ("tune_wrath_penalty_cap", "number", 0.3, "", "[B§3.2] 宿慧削减封顶 30%"), + ("tune_wrath_layers", "number", 22, "", "[B§3.2] 冤煞层总数 22（与 wrath_layers.csv 行数交叉校验；效果/成本已逐行入该表，W5 G-1）"), + ("tune_wrath_penalty", "number", 0.04, "", "[B§3.2] 每层宿慧获取削减 +4%（W5 裁定 P-26：−3% → −4%）"), + ("tune_wrath_penalty_cap", "number", 0.4, "", "[B§3.2] 宿慧削减封顶 40%（W5 裁定 P-26：30% → 40%；m07 改 20%）"), ("tune_suihui_div", "number", 1000000, "", "[B§4.1] 宿慧 = floor(√(本轮累计阴德/1e6) × 5)"), ("tune_suihui_mult", "number", 5, "", "[B§4.1] 宿慧公式乘数"), - ("tune_suihui_global_pct", "number", 0.03, "", "[B§1/§4.2] 每级宿慧全局产出 +3%（加法，进全局乘区）"), ("tune_enthrone_bonus", "number", 0.25, "", "[B§4.4] 阴司敕封自动全局恩典 +25%（与 m08 商品字面重叠，见 provenance P-4）"), - ("tune_skip_interval", "number", 5, "", "[B§4.2] 每 5 级宿慧 → 前 3 档班底各 +25 级（m04 可加快为 4）"), + ("tune_skip_interval", "number", 5, "", "[B§4.2] 每 5 级宿慧 → 前 3 档班底各 +25 级（m04 可加快为 4；每档封顶见 tune_skip_level_cap_per_gen）"), ("tune_skip_gens", "number", 3, "", "[B§4.2] 跳过机制覆盖前 3 档班底"), ("tune_skip_levels", "number", 25, "", "[B§4.2] 跳过机制每档 +25 级"), + ("tune_skip_level_cap_per_gen","number", 50, "", "[B§4.2] W5 裁定 P-27（F-2）：跳过每档获赠 = min(floor(宿慧/5)×25, 本值)（原无封顶 → R2 开盘白送 2850 级）"), ("tune_enthrone_rebirths", "number", 2, "", "[B§4.4] 阴司敕封触发：转世 ≥2（约第 2-3 轮，累计 8-12h 为其 pacing 后果）"), ("tune_restart_curve", "text", 0, "1:0.6:0.4:0.3", "[B§4.3] 重开曲线目标（第 5 轮触底 ≥0.25×）；模拟器门 #13 断言"), ("tune_event_timeout_default","text", 0, "opt_a", "[B§7] 冤魂申诉超时默认 = 超度（opt_a）"), @@ -248,6 +295,9 @@ TUNING = [ ("tune_boss_kappa_slope", "number", 0.052, "", "[systems-spec §1.2 B2] κ 随法器线进度斜率：κ = (base + slope × 已购点击升级/12) × (1 + m06阶×0.30)；满配 κ = 0.0806"), ("tune_boss_intro_cap", "number", 0.1, "", "[systems-spec §1.2 B3] 开场冲锋伤害封顶 = HP × 本值（0.10；旧公式 20% 已废止）"), ("tune_boss_intro_enabled","number", 1, "", "[systems-spec §1.2 B3] 开场冲锋开关（1 = 启用；门 #11 首轮数据回来前默认 1）"), + # ---- W5 宿慧全局渐近封顶（sim 一轮裁定 §2.4 F-1；用户 2026-10-20 拍板） ---- + ("tune_suihui_global_max", "number", 0.5, "", "[B§4.2] W5 裁定 P-27（F-1）：宿慧全局加成渐近上限 = 0.50×(1−e^(−宿慧/scale))（旧 +3%/级线性无界 → R2 开盘 ×6.79、红线 9.5e15 的根因）"), + ("tune_suihui_global_scale","number", 420, "", "[B§4.2] W5 裁定 P-27（F-1）：渐近衰减尺度（宿慧）。查点：193→+18.4%；386→+30.1%；579→+37.4%；772→+42.0%；∞→+50%"), ] # --------------------------------------------------------------------------- @@ -320,6 +370,7 @@ EVENT_COLS = ["id", "name_cn", "name_en", "trigger_min_min", "trigger_max_min", META_COLS = ["id", "name_cn", "name_en", "effect_type", "target_id", "effect_param", "cost_suihui", "max_rank", "condition", "desc_cn"] TUNING_COLS = ["id", "kind", "num", "text", "desc_cn"] +WRATH_LAYER_COLS = ["id", "layer_index", "effect", "cost"] def fnum(v) -> str: @@ -491,6 +542,18 @@ def build_rows(): }) sheets["balance_tuning"] = (TUNING_COLS, rows) + # --- wrath_layers（[B§3.2] / W5 G-1：22 行 effect/cost 逐行落表） ---------- + rows = [] + for n in range(1, WRATH_LAYERS_TOTAL + 1): + effect = WRATH_EFFECT_FULL if n <= WRATH_EFFECT_LAST_LAYER else 0.0 + rows.append({ + "id": "wrath_layer_%02d" % n, + "layer_index": n, + "effect": effect, + "cost": wrath_layer_cost(n), + }) + sheets["wrath_layers"] = (WRATH_LAYER_COLS, rows) + return sheets @@ -523,6 +586,10 @@ def self_check(sheets) -> None: assert h["gate_merit"] == eg, "gate %s" % h["id"] assert sum(1 for h in halls if h["is_prestige_gate"] is True) == 1 assert halls[-1]["is_prestige_gate"] is True + # W5 裁定 P-28：到达目标列 10 行改写（殿门阈值不动，只修验收尺子） + expect_targets = [10, 20, 36, 56, 80, 102, 122, 142, 164, 180] + for h, et in zip(halls, expect_targets): + assert float(h["target_min"]) == et, "target_min %s" % h["id"] # 升级 108 条 + meta 12 条（[B§2] 配比） ups = sheets["upgrades"][1] assert len(ups) == 108, "upgrades 行数 %d" % len(ups) @@ -570,7 +637,6 @@ def self_check(sheets) -> None: # 冤煞成本公式 spot check（round(8×n^1.8) 由 core 代码求值，此处验公式输入） tune = {t["id"]: t for t in sheets["balance_tuning"][1]} assert tune["tune_wrath_layers"]["num"] == 22 - assert tune["tune_wrath_cost_base"]["num"] == 8 assert tune["tune_offline_cap_h"]["num"] == 72 # P-14：超度除数 + 敕封宿慧门槛（GDD §3.4） assert tune["tune_souls_div"]["num"] == 10000 @@ -578,11 +644,22 @@ def self_check(sheets) -> None: assert tune["tune_enthrone_rebirths"]["num"] == 2 assert tune["tune_suihui_div"]["num"] == 1000000 assert tune["tune_suihui_mult"]["num"] == 5 - assert tune["tune_suihui_global_pct"]["num"] == 0.03 assert tune["tune_enthrone_bonus"]["num"] == 0.25 assert tune["tune_skip_interval"]["num"] == 5 assert tune["tune_skip_gens"]["num"] == 3 assert tune["tune_skip_levels"]["num"] == 25 + # W5 宿慧渐近封顶 + 跳过钳制（sim 一轮裁定 §2.4 F-1/F-2；用户拍板） + assert tune["tune_suihui_global_max"]["num"] == 0.5 + assert tune["tune_suihui_global_scale"]["num"] == 420 + assert tune["tune_skip_level_cap_per_gen"]["num"] == 50 + # W5 冤煞削减速加深（裁定 §2.3 配套 U-3b） + assert tune["tune_wrath_penalty"]["num"] == 0.04 + assert tune["tune_wrath_penalty_cap"]["num"] == 0.4 + # 已被 wrath_layers.csv 表取代/迁入的调参行必须不存在（防双源） + assert "tune_wrath_bonus" not in tune, "effect 已逐行入 wrath_layers.csv" + assert "tune_wrath_cost_base" not in tune, "cost 已逐行入 wrath_layers.csv" + assert "tune_wrath_cost_exp" not in tune, "cost 已逐行入 wrath_layers.csv" + assert "tune_suihui_global_pct" not in tune, "线性公式已被渐近公式取代" assert tune["tune_click_base"]["num"] == 1 assert tune["tune_click_zone_cap"]["num"] == 16 assert tune["tune_gen_zone_cap"]["num"] == 8 @@ -603,6 +680,23 @@ def self_check(sheets) -> None: metas = sheets["meta_upgrades"][1] assert len(metas) == 12 assert [m["cost_suihui"] for m in metas] == [3, 5, 8, 12, 6, 10, 15, 20, 10, 8, 5, 25] + # W5 裁定 P-26/P-29：m07 削减联动 40%→20%；m08 更名幽冥恩荫（[裁§3 P-4] 消歧） + m07 = [m for m in metas if m["id"] == "meta_07"][0] + assert float(m07["effect_param"]) == 0.2, "m07 削减 40%→20%" + m08 = [m for m in metas if m["id"] == "meta_08"][0] + assert m08["name_cn"] == "幽冥恩荫", "m08 更名（P-4 消歧）" + assert m08["name_en"] == "Shadow Patronage", "m08 英文名同步消歧" + # W5 G-1：wrath_layers.csv 22 行（effect/cost 逐行；[B§12] 漏登补登） + wl = sheets["wrath_layers"][1] + assert len(wl) == 22, "冤煞层 22 行" + assert [int(w["layer_index"]) for w in wl] == list(range(1, 23)), "layer_index 1..22 连续" + assert sum(1 for w in wl if float(w["effect"]) == 0.15) == 15, "L1-15 = +15%/层" + assert sum(1 for w in wl if float(w["effect"]) == 0.0) == 7, "L16-22 归零（合计封顶 +225%）" + assert tune["tune_wrath_layers"]["num"] == len(wl), "调参行与表行数交叉校验" + for w in wl: # 成本列 = [B§3.2] 公式逐行落盘（与 PrestigeModel/单测同公式） + assert int(w["cost"]) == wrath_layer_cost(int(w["layer_index"])), "L%s cost" % w["layer_index"] + costs = [int(w["cost"]) for w in wl] + assert costs == sorted(costs) and len(set(costs)) == 22, "成本严格递增（购买梯度）" # --------------------------------------------------------------------------- diff --git a/src/tools/import_main.gd b/src/tools/import_main.gd index f496a0c..ccac43f 100644 --- a/src/tools/import_main.gd +++ b/src/tools/import_main.gd @@ -29,8 +29,12 @@ func _initialize() -> void: func _run_import() -> int: print("=== SheetImporter import_all：sheets → build/*.json（schema 校验 + 差异化报告）===") var report := SheetImporter.import_all() + # 注意：import_all 的 sheets 元素是 import_sheet 返回的 **Dictionary** + # （不是 ImportReport 实例）——不能直接 .summary()（首跑实证 R15： + # Nonexistent function 'summary' in base 'Dictionary'）。聚合报告的 + # summary()/ok() 是 ImportReport 方法，可用；逐表摘要走下面的 helper。 for s in report.sheets: - print(s.summary()) + print(_sheet_summary(s)) print(report.summary()) if report.ok(): print("RESULT: PASS（%d 表 / %d 行 / 0 违规）" % [report.sheets.size(), report.row_count]) @@ -39,6 +43,21 @@ func _run_import() -> int: return 1 +## 逐表摘要（import_sheet 的 Dictionary → 可读日志行） +func _sheet_summary(s: Dictionary) -> String: + var rows: Array = s.get("typed_rows", []) + var head := "表 %s：%d 行（+%d 新增 / ~%d 变更 / -%d 删除）→ %s" % [ + str(s.get("sheet", "?")), rows.size(), + int(s.get("added", 0)), int(s.get("changed", 0)), int(s.get("removed", 0)), + str(s.get("json_path", "未写盘")).get_file()] + var lines := PackedStringArray([head]) + for v in s.get("violations", []): + lines.append(" [违规] " + str(v)) + for n in s.get("notes", []): + lines.append(" [备注] " + str(n)) + return "\n".join(lines) + + func _run_validate() -> int: print("=== SheetImporter validate：data/build 对 schema 合规性 ===") var violations := SheetImporter.validate(SheetImporter.BUILD_DIR) diff --git a/src/tools/sheet_importer.gd b/src/tools/sheet_importer.gd index bacdac1..85ae4a3 100644 --- a/src/tools/sheet_importer.gd +++ b/src/tools/sheet_importer.gd @@ -517,12 +517,24 @@ static func _check_schema_keywords(schema: Dictionary) -> String: return "schema 使用了本工具未支持的关键词：%s（支持集：%s）" % [str(bad), str(SUPPORTED_KEYWORDS)] +## 递归检查 schema 关键词白名单。 +## ⚠ 语义修正（首跑实证 R16）：`properties` 的**键是属性名**（如 sheet/columns）， +## 不是 schema 关键词——旧实现把 properties 字典当节点走，于是每张表的四大属性名 +## 都被误报为"未支持关键词"，import_all 自 W1 起从未真正导入过任何表（build 全靠 +## gen_balance_sheets.py 侧生成）。正确走法：properties 按**值**逐个递归； +## items/additionalProperties 按值递归（Dictionary 或 Dictionary 数组）。 static func _walk_schema(node: Dictionary, bad: PackedStringArray) -> void: for k in node.keys(): var ks := str(k) if not ks.begins_with("x-") and not SUPPORTED_KEYWORDS.has(ks) and not META_KEYWORDS.has(ks): bad.append(ks) - for key in ["properties", "items", "additionalProperties"]: + var props_v: Variant = node.get("properties", null) + if props_v is Dictionary: + for pk in props_v: + var pv: Variant = props_v[pk] + if pv is Dictionary: + _walk_schema(pv, bad) + for key in ["items", "additionalProperties"]: if node.has(key): var v: Variant = node[key] if v is Dictionary: diff --git a/tests/sim_reports/report-2026-10-21.json b/tests/sim_reports/report-2026-10-21.json new file mode 100644 index 0000000..0123acb --- /dev/null +++ b/tests/sim_reports/report-2026-10-21.json @@ -0,0 +1,48232 @@ +{ + "cross": { + "detail": "H10 时长极差 1.21×（novice 215min，greedy 182min，random 220min；目标 <1.5×）", + "pass": true + }, + "date": "2026-10-21", + "engine_note": "Godot 4.7.x headless；EconomyState 与游戏同源", + "gates": { + "greedy": { + "1": { + "detail": "首购点击 15（目标 [10,20]）", + "pass": true + }, + "2": { + "detail": "前 5min 不同条目 2（目标 [3,6]）", + "pass": false + }, + "3": { + "detail": "H1 8/10min；H2 20/20min；H3 36/36min；H4 56/56min；H5 79/80min；H6 102/102min；H7 122/122min；H8 142/142min；H9 164/164min；H10 182/180min", + "pass": true + }, + "4": { + "detail": "最大购买间隔 9 min（上限 60min）", + "pass": true + }, + "5": { + "detail": "到 H10 182 min（目标 120-300min）", + "pass": true + }, + "6": { + "detail": "最差窗口 4.03×（t=213min；≥1.0 = 15min 挂机 ≥ 最便宜升级 50%）", + "pass": true + }, + "8": { + "detail": "t2 120s；t3 150s；t4 188s；t5 234s；t6 293s；", + "pass": true + }, + "9": { + "deferred_beta": "进度口径 β（∈[1.5,4.0]）待 sim 首轮标定", + "detail": "契约 v2：a PASS / b PASS / c PASS（P-8 已裁定：改契约不改表）", + "pass": true, + "sub": { + "9a": { + "detail": "0-2h = 100%；8h 等效 6.20h（无长明灯；目标 [5.5,6.5]）", + "pass": true + }, + "9b": { + "detail": "长明灯满级（加法 +55%）8h 等效 8.00h；效率 100.0%（目标 ∈[7.5,8.0] 且 ≤100%）", + "pass": true + }, + "9c": { + "detail": "效率硬顶：1.0h=1.00h(100%)，8.0h=8.00h(100%)，24.0h=23.20h(97%)，72.0h=54.40h(76%)，100.0h=54.40h(76%)（全部 ≤100%；超出 72.0h 封顶）", + "pass": true + } + } + }, + "10": { + "detail": "峰值累计 11.831B（红线 1e14）", + "pass": true + }, + "11": { + "deferred": true, + "detail": "deferred：BossBattle 逻辑 W3 接入后评估", + "pass": true + }, + "14": { + "detail": "H1 84%；H2 101%；H3 101%；H4 100%；H5 99%；H6 100%；H7 100%；H8 100%；H9 100%；H10 101%", + "pass": true + } + }, + "novice": { + "1": { + "detail": "首购点击 16（目标 [10,20]）", + "pass": true + }, + "2": { + "detail": "前 5min 不同条目 5（目标 [3,6]）", + "pass": true + }, + "3": { + "detail": "H1 6/10min；H2 17/20min；H3 33/36min；H4 52/56min；H5 76/80min；H6 105/102min；H7 131/122min；H8 163/142min；H9 194/164min；H10 215/180min", + "pass": false + }, + "4": { + "detail": "最大购买间隔 1 min（上限 60min）", + "pass": true + }, + "5": { + "detail": "到 H10 215 min（目标 120-300min）", + "pass": true + }, + "6": { + "detail": "最差窗口 21.60×（t=1min；≥1.0 = 15min 挂机 ≥ 最便宜升级 50%）", + "pass": true + }, + "8": { + "detail": "t2 120s；t3 150s；t4 188s；t5 234s；t6 293s；", + "pass": true + }, + "9": { + "deferred_beta": "进度口径 β（∈[1.5,4.0]）待 sim 首轮标定", + "detail": "契约 v2：a PASS / b PASS / c PASS（P-8 已裁定：改契约不改表）", + "pass": true, + "sub": { + "9a": { + "detail": "0-2h = 100%；8h 等效 6.20h（无长明灯；目标 [5.5,6.5]）", + "pass": true + }, + "9b": { + "detail": "长明灯满级（加法 +55%）8h 等效 8.00h；效率 100.0%（目标 ∈[7.5,8.0] 且 ≤100%）", + "pass": true + }, + "9c": { + "detail": "效率硬顶：1.0h=1.00h(100%)，8.0h=8.00h(100%)，24.0h=23.20h(97%)，72.0h=54.40h(76%)，100.0h=54.40h(76%)（全部 ≤100%；超出 72.0h 封顶）", + "pass": true + } + } + }, + "10": { + "detail": "峰值累计 2.732B（红线 1e14）", + "pass": true + }, + "11": { + "deferred": true, + "detail": "deferred：BossBattle 逻辑 W3 接入后评估", + "pass": true + }, + "14": { + "detail": "H1 56%；H2 84%；H3 90%；H4 93%；H5 96%；H6 103%；H7 107%；H8 115%；H9 118%；H10 120%", + "pass": false + } + }, + "random": { + "1": { + "detail": "首购点击 15（目标 [10,20]）", + "pass": true + }, + "2": { + "detail": "前 5min 不同条目 2（目标 [3,6]）", + "pass": false + }, + "3": { + "detail": "H1 9/10min；H2 21/20min；H3 37/36min；H4 57/56min；H5 81/80min；H6 110/102min；H7 135/122min；H8 167/142min；H9 198/164min；H10 220/180min", + "pass": false + }, + "4": { + "detail": "最大购买间隔 1 min（上限 60min）", + "pass": true + }, + "5": { + "detail": "到 H10 220 min（目标 120-300min）", + "pass": true + }, + "6": { + "detail": "最差窗口 10.80×（t=1min；≥1.0 = 15min 挂机 ≥ 最便宜升级 50%）", + "pass": true + }, + "8": { + "detail": "t2 120s；t3 150s；t4 188s；t5 234s；t6 293s；", + "pass": true + }, + "9": { + "deferred_beta": "进度口径 β（∈[1.5,4.0]）待 sim 首轮标定", + "detail": "契约 v2：a PASS / b PASS / c PASS（P-8 已裁定：改契约不改表）", + "pass": true, + "sub": { + "9a": { + "detail": "0-2h = 100%；8h 等效 6.20h（无长明灯；目标 [5.5,6.5]）", + "pass": true + }, + "9b": { + "detail": "长明灯满级（加法 +55%）8h 等效 8.00h；效率 100.0%（目标 ∈[7.5,8.0] 且 ≤100%）", + "pass": true + }, + "9c": { + "detail": "效率硬顶：1.0h=1.00h(100%)，8.0h=8.00h(100%)，24.0h=23.20h(97%)，72.0h=54.40h(76%)，100.0h=54.40h(76%)（全部 ≤100%；超出 72.0h 封顶）", + "pass": true + } + } + }, + "10": { + "detail": "峰值累计 2.497B（红线 1e14）", + "pass": true + }, + "11": { + "deferred": true, + "detail": "deferred：BossBattle 逻辑 W3 接入后评估", + "pass": true + }, + "14": { + "detail": "H1 88%；H2 105%；H3 103%；H4 101%；H5 102%；H6 107%；H7 111%；H8 118%；H9 121%；H10 122%", + "pass": false + } + } + }, + "hard_gates": { + "10": true, + "5": true + }, + "primary": { + "1": { + "detail": "首购点击 16（目标 [10,20]）", + "pass": true + }, + "2": { + "detail": "前 5min 不同条目 5（目标 [3,6]）", + "pass": true + }, + "3": { + "detail": "H1 8/10min；H2 20/20min；H3 36/36min；H4 56/56min；H5 79/80min；H6 102/102min；H7 122/122min；H8 142/142min；H9 164/164min；H10 182/180min", + "pass": true + }, + "4": { + "detail": "最大购买间隔 9 min（上限 60min）", + "pass": true + }, + "5": { + "detail": "到 H10 182 min（目标 120-300min）", + "pass": true + }, + "6": { + "detail": "最差窗口 4.03×（t=213min；≥1.0 = 15min 挂机 ≥ 最便宜升级 50%）", + "pass": true + }, + "8": { + "detail": "t2 120s；t3 150s；t4 188s；t5 234s；t6 293s；", + "pass": true + }, + "9": { + "deferred_beta": "进度口径 β（∈[1.5,4.0]）待 sim 首轮标定", + "detail": "契约 v2：a PASS / b PASS / c PASS（P-8 已裁定：改契约不改表）", + "pass": true, + "sub": { + "9a": { + "detail": "0-2h = 100%；8h 等效 6.20h（无长明灯；目标 [5.5,6.5]）", + "pass": true + }, + "9b": { + "detail": "长明灯满级（加法 +55%）8h 等效 8.00h；效率 100.0%（目标 ∈[7.5,8.0] 且 ≤100%）", + "pass": true + }, + "9c": { + "detail": "效率硬顶：1.0h=1.00h(100%)，8.0h=8.00h(100%)，24.0h=23.20h(97%)，72.0h=54.40h(76%)，100.0h=54.40h(76%)（全部 ≤100%；超出 72.0h 封顶）", + "pass": true + } + } + }, + "10": { + "detail": "单轮峰值 11.831B；restart lifetime 7.007B（红线 1e14）", + "pass": true + }, + "11": { + "deferred": true, + "detail": "deferred：BossBattle 逻辑 W3 接入后评估", + "pass": true + }, + "14": { + "detail": "H1 84%；H2 101%；H3 101%；H4 100%；H5 99%；H6 100%；H7 100%；H8 100%；H9 100%；H10 101%", + "pass": true + } + }, + "restart": { + "detail": "R1=1.00（目标 1.00）；R2=0.48（目标 0.60）；R3=0.42（目标 0.40）；R4=0.40（目标 0.30）", + "pass": false + }, + "runs": [ + { + "abort_reason": "h10_reached", + "clicks_before_first_purchase": 16, + "clicks_total": 28800, + "duration_sec": 14400.0, + "end": { + "enthroned": false, + "levels": [ + 124, + 100, + 77, + 60, + 41, + 26, + 10, + 0, + 0, + 0, + 0, + 0 + ], + "merit": 31500848.8231939, + "output": 960564.404, + "rebirths": 0, + "souls_saved": 273156, + "suihui": 0, + "wrath_layers": 0 + }, + "first_purchase_sec": 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13896815452086.4, + "min_upgrade_cost": 800000000000.0, + "output": 107905197213.576, + "run_total": 243334305037428.8, + "suihui": 0, + "t": 14340.0, + "wrath_layers": 22 + }, + { + "halls": 10, + "levels": [ + 86, + 85, + 75, + 80, + 73, + 70, + 60, + 50, + 40, + 30, + 30, + 0 + ], + "merit": 20371127285860.9, + "min_upgrade_cost": 800000000000.0, + "output": 107905197213.576, + "run_total": 249808616871202.6, + "suihui": 0, + "t": 14400.0, + "wrath_layers": 22 + } + ] + } + ], + "wrath_tradeoff": { + "detail": "devour/pure = 0.34×（62min vs 182min）", + "pass": true + } +} \ No newline at end of file diff --git a/tests/unit/cases/test_balance_data.gd b/tests/unit/cases/test_balance_data.gd index 6e0370d..cd01050 100644 --- a/tests/unit/cases/test_balance_data.gd +++ b/tests/unit/cases/test_balance_data.gd @@ -37,6 +37,32 @@ func run(a, data: BalanceData) -> void: a.eq(data.tune_text("tune_restart_curve", ""), "1:0.6:0.4:0.3", "重开曲线文本") a.near(data.tune_num("tune_wrath_layers", 0.0), 22.0, 1e-9, "冤煞 22 层") a.near(data.tune_num("tune_click_base", 0.0), 1.0, 1e-9, "点击基础值 1") + # W5 裁定调参（sim 一轮裁定 §2.3/§2.4）：宿慧渐近 + 跳过封顶 + 削减速加深 + a.near(data.tune_num("tune_suihui_global_max", 0.0), 0.5, 1e-9, "宿慧渐近上限 0.50") + a.near(data.tune_num("tune_suihui_global_scale", 0.0), 420.0, 1e-9, "宿慧衰减尺度 420") + a.near(data.tune_num("tune_skip_level_cap_per_gen", 0.0), 50.0, 1e-9, "跳过每档封顶 50") + a.near(data.tune_num("tune_wrath_penalty", 0.0), 0.04, 1e-9, "削减速 4%/层") + a.near(data.tune_num("tune_wrath_penalty_cap", 0.0), 0.4, 1e-9, "削减速封顶 40%") + a.false_(data.has_tune("tune_wrath_bonus"), "tune_wrath_bonus 已迁入 wrath_layers.csv") + a.false_(data.has_tune("tune_wrath_cost_base"), "tune_wrath_cost_base 已迁入 wrath_layers.csv") + a.false_(data.has_tune("tune_wrath_cost_exp"), "tune_wrath_cost_exp 已迁入 wrath_layers.csv") + a.false_(data.has_tune("tune_suihui_global_pct"), "tune_suihui_global_pct 已被渐近公式取代") + # W5 G-1：冤煞层表（22 行；m07/m08 联动） + a.eq(data.wrath_layers.size(), 22, "wrath_layers 22 行") + a.near(data.wrath_layers[0].effect, 0.15, 1e-9, "L1 effect 0.15") + a.near(data.wrath_layers[14].effect, 0.15, 1e-9, "L15 effect 0.15") + a.near(data.wrath_layers[15].effect, 0.0, 1e-9, "L16 effect 0（归零）") + a.eq(data.wrath_layers[0].cost, 8, "L1 成本 8") + a.eq(data.wrath_layers[21].cost, 2087, "L22 成本 2087") + var m07 := data.meta("meta_07") + a.near(m07.effect_param, 0.20, 1e-9, "m07 削减 40%→20%（W5 联动）") + a.eq(data.meta("meta_08").name_cn, "幽冥恩荫", "m08 更名幽冥恩荫（P-4 消歧）") + # W5 裁定 P-28：halls 到达目标列新值（H10 保持 180；殿门阈值不动） + var expect_targets := [10, 20, 36, 56, 80, 102, 122, 142, 164, 180] + for i in expect_targets.size(): + a.eq(int(data.halls[i].target_min), expect_targets[i], "H%d 到达目标 %d min" % [i + 1, expect_targets[i]]) + a.near(data.halls[0].gate_merit, 2000.0, 0.5, "H1 殿门阈值不动（2K）") + a.near(data.halls[9].gate_merit, 1.5e9, 0.5, "H10 殿门阈值不动（1.5B）") # 跨表引用完整性（schema 管单表；这里查跨表） a.true_(data.check_references().is_empty(), "跨表引用无悬挂（%s）" % str(data.check_references())) # 每殿恰一场殿王战 + 色板 diff --git a/tests/unit/cases/test_economy_formulas.gd b/tests/unit/cases/test_economy_formulas.gd index f558506..03f5c90 100644 --- a/tests/unit/cases/test_economy_formulas.gd +++ b/tests/unit/cases/test_economy_formulas.gd @@ -29,9 +29,11 @@ func run(a, _data: BalanceData) -> void: a.eq(PrestigeModel.wrath_layer_cost(1, 8.0, 1.8), 8, "怨煞层 1 成本 8") a.eq(PrestigeModel.wrath_layer_cost(2, 8.0, 1.8), 28, "怨煞层 2 成本 28") a.eq(PrestigeModel.wrath_layer_cost(22, 8.0, 1.8), 2087, "怨煞层 22 成本 2087") - a.near(PrestigeModel.wrath_penalty(10, 0.03, 0.3, 0.0), 0.3, 1e-9, "冤气削减封顶 30%") - a.near(PrestigeModel.wrath_penalty(10, 0.03, 0.3, 0.15), 0.15, 1e-9, "m07 改 15%") - a.near(PrestigeModel.wrath_penalty(5, 0.03, 0.3, 0.0), 0.15, 1e-9, "5 层 = 15%") + # W5 新参数（裁定 P-26）：削减速 −4%/层封顶 −40%；m07 改 20% + a.near(PrestigeModel.wrath_penalty(10, 0.04, 0.4, 0.0), 0.4, 1e-9, "冤气削减封顶 40%") + a.near(PrestigeModel.wrath_penalty(10, 0.04, 0.4, 0.20), 0.20, 1e-9, "m07 改 20%") + a.near(PrestigeModel.wrath_penalty(5, 0.04, 0.4, 0.0), 0.2, 1e-9, "5 层 = 20%") + a.near(PrestigeModel.wrath_penalty(9, 0.04, 0.4, 0.0), 0.36, 1e-9, "9 层 = 36%（未触顶）") a.eq(PrestigeModel.skip_count(23, 5), 4, "skip 23/5 = 4") a.eq(PrestigeModel.skip_count(23, 4), 5, "skip 23/4 = 5（m04）") a.near(PrestigeModel.restart_target(0), 1.0, 1e-9, "重开曲线 R1") @@ -40,6 +42,41 @@ func run(a, _data: BalanceData) -> void: a.true_(PrestigeModel.enthrone_available(2, 2), "敕封：转世 2 可") a.true_(not PrestigeModel.enthrone_available(1, 2), "敕封：转世 1 不可") + # ---- W5 G-1：wrath_layers.csv 22 行（效果/成本逐行；[B§12] 漏登补登）---- + var wl := _data.wrath_layers + a.eq(wl.size(), 22, "冤煞层 22 行") + var sum_effect := 0.0 + var prev_cost := -1 + for row in wl: + a.eq(row.layer_index, wl.find(row) + 1, "layer_index 从 1 连续（%s）" % row.id) + # 成本列 = round(8×n^1.8) 逐行一致（表 = 公式落盘，双源交叉校验） + a.eq(row.cost, PrestigeModel.wrath_layer_cost(row.layer_index, 8.0, 1.8), + "成本 = 公式（%s）" % row.id) + a.true_(row.cost > prev_cost, "成本严格递增（%s）" % row.id) + prev_cost = row.cost + # effect 剖面：L1-15 = 0.15；L16-22 = 0.00（合计封顶 +225%） + if row.layer_index <= 15: + a.near(row.effect, 0.15, 1e-9, "L%d effect = 0.15" % row.layer_index) + else: + a.near(row.effect, 0.0, 1e-9, "L%d effect = 0（归零）" % row.layer_index) + sum_effect += row.effect + a.near(sum_effect, 2.25, 1e-9, "22 层合计 effect = +225%（15 层封顶）") + a.near(_data.wrath_layer_effect_sum(15), 2.25, 1e-9, "effect_sum(15) = +225%") + a.near(_data.wrath_layer_effect_sum(10), 1.5, 1e-9, "effect_sum(10) = +150%") + a.near(_data.wrath_layer_effect_sum(22), 2.25, 1e-9, "effect_sum(22) 仍 +225%（16-22 归零）") + a.near(_data.wrath_layer_effect_sum(0), 0.0, 1e-9, "effect_sum(0) = 0") + a.eq(_data.wrath_layer(1).cost, 8, "wrath_layer(1) 成本 8") + a.eq(_data.wrath_layer(22).cost, 2087, "wrath_layer(22) 成本 2087") + a.true_(_data.wrath_layer(23) == null, "wrath_layer(23) 越界 = null") + # W5 新调参（裁定 F-1/F-2）：宿慧渐近 + 跳过封顶 + a.near(_data.tune_num("tune_suihui_global_max", 0.0), 0.5, 1e-9, "宿慧渐近上限 0.50") + a.near(_data.tune_num("tune_suihui_global_scale", 0.0), 420.0, 1e-9, "宿慧衰减尺度 420") + a.near(_data.tune_num("tune_skip_level_cap_per_gen", 0.0), 50.0, 1e-9, "跳过每档封顶 50") + a.near(_data.tune_num("tune_wrath_penalty", 0.0), 0.04, 1e-9, "削减速 0.04/层") + a.near(_data.tune_num("tune_wrath_penalty_cap", 0.0), 0.4, 1e-9, "削减速封顶 0.40") + a.false_(_data.has_tune("tune_wrath_bonus"), "tune_wrath_bonus 已迁入表（防双源）") + a.false_(_data.has_tune("tune_suihui_global_pct"), "tune_suihui_global_pct 已被渐近公式取代") + # ---- OfflineModel 分带 + 72h 封顶 + 时钟回拨 + 长明灯加法 + 硬顶 ---- # W4 契约 v2（systems-spec §2.4/§2.5）：第三参数由 offline_mult（乘性）改为 # offline_add（加法，直接加在各档速率上，各档硬顶 100%）。 diff --git a/tests/unit/cases/test_economy_state.gd b/tests/unit/cases/test_economy_state.gd index 8b7ad66..83acb88 100644 --- a/tests/unit/cases/test_economy_state.gd +++ b/tests/unit/cases/test_economy_state.gd @@ -8,6 +8,8 @@ func run(a, data: BalanceData) -> void: _test_upgrades_and_meta(a, data) _test_wrath(a, data) _test_prestige(a, data) + _test_suihui_asymptotic(a, data) + _test_skip_cap(a, data) _test_enthrone(a, data) _test_event_and_offline(a, data) @@ -82,12 +84,14 @@ func _test_wrath(a, data: BalanceData) -> void: e.devour(100.0) a.near(e.wrath, 100.0, 1e-9, "吞噬 +100 冤气") a.eq(e.devour_count, 1, "吞噬计数") - a.eq(e.wrath_layer_cost(), 8, "第 1 层成本 8") + a.eq(e.wrath_layer_cost(), 8, "第 1 层成本 8（wrath_layers.csv 逐行）") var r: Dictionary = e.buy_wrath_layer() a.true_(bool(r.get("ok", false)), "买第 1 层怨煞") a.eq(e.wrath_layers, 1, "1 层") - a.near(e.global_mult(), 1.25, 1e-9, "全局 ×1.25（每层 +25%）") - a.near(e.wrath_penalty(), 0.03, 1e-9, "宿慧削减 3%") + # W5 裁定 P-25：每层全局 +25% → +15%（合计 15 层后封顶 +225%） + a.near(e.global_mult(), 1.15, 1e-9, "全局 ×1.15（每层 +15%）") + # W5 裁定 P-26：宿慧削减 +3%/层 → +4%/层（封顶 40%） + a.near(e.wrath_penalty(), 0.04, 1e-9, "宿慧削减 4%") e.wrath = 0.0 var r2: Dictionary = e.buy_wrath_layer() a.true_(not bool(r2.get("ok", false)), "冤气不足买不了") @@ -97,6 +101,11 @@ func _test_wrath(a, data: BalanceData) -> void: a.eq(e.wrath_layers, 22, "22 层上限") var r3: Dictionary = e.buy_wrath_layer() a.true_(not bool(r3.get("ok", false)), "满层后再买失败") + # W5：L1-15 各 +15%（合计 +225% = ×3.25）；L16-22 effect = 0（过盛不顶用） + a.near(e.global_mult(), 1.0 + 15.0 * 0.15, 1e-9, "满层全局 ×3.25（15 层后归零）") + a.near(e.wrath_penalty(), 0.4, 1e-9, "22 层削减封顶 40%") + # 成本列逐行 = round(8×n^1.8)（表即公式落盘；抽检首/中/末） + a.eq(e.wrath_layer_cost(), 2087, "满层后下一层成本回退末行 2087") # ---- 轮回转世 ---- @@ -113,11 +122,80 @@ func _test_prestige(a, data: BalanceData) -> void: a.eq(e.suihui, 193, "宿慧入账") a.eq(e.rebirths, 1, "转世 1 次") a.near(e.merit, 0.0, 1e-9, "阴德清零") - a.eq(e.gen_levels[0], 950, "跳过机制：193/5=38 ×25 = 950 级") + # W5 裁定 F-2：跳过每档封顶 50 级（193/5=38 次 ×25 = 950 → 钳到 50； + # 注意 do_prestige 先清零班底（[B§4.1] 全清）再加跳过，故原有 50 级不计入） + a.eq(e.gen_levels[0], 50, "跳过封顶：193 宿慧 → 50 级/档（旧口径 950）") a.eq(e.halls_passed, 0, "殿门进度重置") a.eq(e.bought.size(), 0, "升级清空") - # 第二轮更快（宿慧全局 +3%） - a.near(e.global_mult(), 1.0 + 193 * 0.03, 1e-9, "宿慧全局加成") + # 第二轮更快（宿慧全局渐近加成，F-1） + var smax: float = data.tune_num("tune_suihui_global_max", 0.5) + var sscale: float = data.tune_num("tune_suihui_global_scale", 420.0) + a.near(e.global_mult(), 1.0 + smax * (1.0 - exp(-193.0 / sscale)), 1e-9, "宿慧全局渐近加成（193 → +18.4%）") + + +# ---- 宿慧全局渐近封顶（W5 裁定 F-1：线性无界 → 0.50×(1−e^(−宿慧/420))）---- +func _test_suihui_asymptotic(a, data: BalanceData) -> void: + var e := EconomyState.new(data) + var smax: float = data.tune_num("tune_suihui_global_max", 0.5) + var sscale: float = data.tune_num("tune_suihui_global_scale", 420.0) + e.suihui = 0 + e.recompute() + a.near(e.global_mult(), 1.0, 1e-9, "0 宿慧 → 无加成") + # 裁定 §2.4 查点表：193→+18.4%；386→+30.1%；579→+37.4%；772→+42.0% + for s in [193, 386, 579, 772, 1550, 5000]: + e.suihui = s + e.recompute() + var want: float = 1.0 + smax * (1.0 - exp(-float(s) / sscale)) + a.near(e.global_mult(), want, 1e-9, "宿慧 %d → 加成 %.4f" % [s, want - 1.0]) + # 渐近上限：宿慧 → ∞ 也只到 +50%（封死"银行式刷宿慧"死亡螺旋） + e.suihui = 100000000 + e.recompute() + a.near(e.global_mult(), 1.0 + smax, 1e-6, "巨量宿慧仍封顶 +50%") + # 单调不减（渐近函数的基本性质） + var prev := 0.0 + for s in [0, 10, 50, 100, 193, 386, 579, 772, 1550, 5000]: + e.suihui = s + e.recompute() + var gm := e.global_mult() + a.true_(gm >= prev - 1e-12, "宿慧加成单调不减 @%d" % s) + prev = gm + + +# ---- 跳过机制钳制（W5 裁定 F-2：每档 min(floor(宿慧/5)×25, 50)）---- +func _test_skip_cap(a, data: BalanceData) -> void: + var cap: int = int(data.tune_num("tune_skip_level_cap_per_gen", 50.0)) + a.eq(cap, 50, "调参：每档封顶 50 级") + var e := EconomyState.new(data) + # 公式直测：_apply_rebirth_start_levels 是纯应用函数。走 do_prestige 测不了 + # 低宿慧区——H10 门 1.5e9 决定每轮 gain ≥ 193（38 次触发必触顶）。 + _apply_skip(e, 5) + a.eq(e.gen_levels[0], 25, "5 宿慧 → 25 级/档（未触顶）") + _apply_skip(e, 10) + a.eq(e.gen_levels[0], 50, "10 宿慧 → 50 级/档（恰触顶）") + _apply_skip(e, 400) + a.eq(e.gen_levels[0], 50, "400 宿慧 → 仍 50 级/档（钳制生效）") + # 三档覆盖：前 3 档各 +50（skip_gens = 3） + a.eq(e.gen_levels[1], 50, "第 2 档同获赠") + a.eq(e.gen_levels[2], 50, "第 3 档同获赠") + a.eq(e.gen_levels[3], 0, "第 4 档不受跳过覆盖") + # 集成：do_prestige 后（gain 193 入账）R2 开盘 = 50 级/档 + e.merit_run_total = 1.5e9 + var r: Dictionary = e.do_prestige() + a.true_(bool(r.get("ok", false)), "轮回（集成）") + a.eq(e.gen_levels[0], 50, "do_prestige 后 50 级/档（钳制生效；旧口径 950）") + # m04（间隔 5→4）：400/4=100 次 ×25 = 2500 → 同样钳到 50 + var rm: Dictionary = e.buy_meta("meta_04") + a.true_(bool(rm.get("ok", false)), "买 m04 天生熟练（间隔 4）") + _apply_skip(e, 400) + a.eq(e.gen_levels[0], 50, "m04 下仍钳到 50 级/档") + + +## 测试辅助：清零班底级数 → 设宿慧 → 应用跳过/开局加成（_apply 为加法，须先清零） +func _apply_skip(e: EconomyState, suihui_v: int) -> void: + for i in e.gen_levels.size(): + e.gen_levels[i] = 0 + e.suihui = suihui_v + e._apply_rebirth_start_levels() # ---- 阴司敕封 + gen12 愿景档 ---- @@ -136,11 +214,14 @@ func _test_enthrone(a, data: BalanceData) -> void: a.true_(bool(r2.get("ok", false)), "执行受敕") a.true_(e.enthroned, "enthroned 旗标") a.true_(e.generator_unlocked(11), "受敕 → gen12 解锁") - # 全局区 = 1 + 宿慧100×3% + 敕封 25% = 4.25 - a.near(e.global_mult(), 4.25, 1e-9, "全局 ×4.25（宿慧+敕封）") + # 全局区 = 1 + 宿慧100 渐近加成 + 敕封 25%（W5 F-1：宿慧项改渐近公式） + var smax: float = data.tune_num("tune_suihui_global_max", 0.5) + var sscale: float = data.tune_num("tune_suihui_global_scale", 420.0) + var want_global: float = 1.0 + smax * (1.0 - exp(-100.0 / sscale)) + 0.25 + a.near(e.global_mult(), want_global, 1e-9, "全局 = 1 + 宿慧渐近 + 敕封 25%（≈×1.356）") # gen12 产出接入 e.gen_levels[11] = 1 - a.near(e.output_per_sec(), 1073741824.0 * 4.25, 1.0, "gen12 1 级产出") + a.near(e.output_per_sec(), 1073741824.0 * want_global, 1.0, "gen12 1 级产出") # ---- 事件瞬时区 + 离线加法（契约 v2：长明灯 ×2.31 → 加法 +30%） ----