95 lines
4.3 KiB
Python
95 lines
4.3 KiB
Python
# -*- coding: utf-8 -*-
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"""
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关卡怪物成长 × 永久成长 对齿模型（game-balancer 工作流 step 2-3）
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链条模型：逐节点 击杀轮=t_kill=敌总血/我方DPS；承伤/轮=实测口径；池血衰减+战斗治疗；
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裕度 m=进场池血/承伤每轮 − t_kill → 经验分段映射胜率（用第 6 轮 MC 实测校准，±10~15pp）。
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阶段 S0-S3 = 永久锻造累计（atk+ / hp+ / ac+），ac 每点 ≈ 承伤 -7%（近似，标 provisional）。
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输出：阶段×关卡 到达boss率/通关率 矩阵（v1=第6轮现役怪=校准组；v2=阶段拔高提案=设计组）。
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"""
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DPS_DIG = {1: 5.9, 2: 7.1, 3: 6.3} # 实测输出/轮 − 主角免费攻2（第6轮 normal）
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HEAL_K = 0.85 # 治疗每战 ≈ 0.85×击杀轮（第6轮实测拟合）
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# (关, 节点, 数量期望, 单位血v1, 单位血v2, atk v1, atk v2, 承伤/轮v1实测, boss)
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NODES = [
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(1, 0, 1.5, 8, 8, 2, 2, 0.79, False),
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(1, 1, 2.5, 4, 4, 2, 2, 0.65, False),
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(1, 2, 1.0, 50, 50, 2, 2, 1.09, False),
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(1, 3, 2.5, 14, 14, 2, 2, 1.94, False),
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(1, 4, 1.0, 72, 72, 2, 2, 1.12, True),
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(2, 0, 1.0, 45, 50, 2, 2, 1.08, False),
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(2, 1, 2.5, 18, 20, 2, 2, 1.99, False),
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(2, 4, 2.0, 20, 22, 2, 2, 1.80, False),
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(2, 5, 1.0, 68, 85, 2, 3, 1.32, False),
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(2, 6, 2.5, 18, 20, 1, 1, 1.62, False),
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(2, 7, 2.5, 18, 20, 2, 2, 1.80, False),
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(2, 9, 1.0, 80,105, 2, 3, 1.32, True),
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(3, 0, 1.0, 50, 60, 2, 3, 1.03, False),
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(3, 1, 2.0, 25, 28, 2, 3, 1.53, False),
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(3, 4, 2.5, 20, 22, 2, 3, 1.90, False),
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(3, 5, 1.0, 76, 95, 2, 3, 1.40, False),
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(3, 6, 2.5, 20, 22, 2, 3, 2.15, False),
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(3, 7, 2.5, 20, 22, 2, 3, 2.15, False),
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(3, 9, 1.0, 92,125, 2, 3, 1.06, True),
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]
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# 缺实测的行用同原型插值填的（2,4)/(2,7)/(3,4)/(3,5) 按双单位/单体原型估。
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def win(m):
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if m <= -5: return 0.35
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if m <= -3: return 0.48
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if m <= -1.5: return 0.60
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if m <= 0: return 0.68
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if m <= 2: return 0.80
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if m <= 5: return 0.90
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if m <= 9: return 0.95
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return 0.97
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def run_level(L, atk_up, hp_up, ac_up, ver, pool0, bonus, verbose=False):
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dps = DPS_DIG[L] + 2 + atk_up
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fac = 1.0 - 0.07 * ac_up
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pool = pool0
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reach = 1.0
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for (l, d, u, h1, h2, a1, a2, intake1, boss) in NODES:
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if l != L: continue
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hp = u * (h2 if ver == 2 else h1)
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atk = (a2 if ver == 2 else a1)
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intake = intake1 * (atk / a1) * fac
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if ver == 2: intake *= 1.0 # v2 承伤已按 atk 比例走上面一行
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t_kill = hp / dps
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t_live = pool / intake
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m = t_live - t_kill
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p = win(m)
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if verbose:
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print(f" L{L} d{d}{' BOSS' if boss else '':>5} hp={hp:5.0f} dps={dps:4.1f} tkill={t_kill:4.1f} intake={intake:4.2f} tlive={t_live:4.1f} m={m:+5.1f} p={p:.2f}")
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yield_p = reach * p
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# boss 到达率在进入该点时即定格
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if boss and verbose is not None:
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boss_reach = reach
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pool -= t_kill * intake * (0.5 + 0.5 * p) # 败北也吃部分伤（平均 ~50%*tkill 承伤）
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pool += HEAL_K * t_kill * p # 治疗只在胜局兑现大头
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reach = yield_p
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return boss_reach, reach
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def stage_curve(atk_up, hp_up, ac_up, ver, bonus=10, tag=""):
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out = {}
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pool = 20 + hp_up
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for L in (1, 2, 3):
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poolL = pool + bonus * (L - 1)
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r, c = run_level(L, atk_up, hp_up, ac_up, ver, poolL, bonus)
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out[L] = (r, c, poolL)
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pool = pool + bonus if c > 0.001 else pool # 通关才拿关间奖励
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print(f"{tag} atk+{atk_up} hp+{hp_up} ac+{ac_up}: "
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f"L1 达boss -/通关 {out[1][1]*100:4.1f}% | "
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f"L2 达boss {out[2][0]*100:4.1f}% 通关 {out[2][1]*100:4.1f}% | "
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f"L3 达boss {out[3][0]*100:4.1f}% 通关 {out[3][1]*100:4.1f}%")
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return out
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print("=== 校准组 v1（第6轮现役怪，模型 vs 实测）===")
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print("实测: L1通关 normal49.7/perfect85 | L2条件通过53/77.6 | L2 boss胜率65/97 | L3 boss胜率47/67 | 全通关 10/39.7")
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stage_curve(0, 0, 0, 1, tag="S0 fresh")
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print()
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print("=== 设计组 v2（阶段拔高提案）===")
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stage_curve(0, 0, 0, 2, tag="S0 fresh ")
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stage_curve(2, 6, 1, 2, tag="S1 ≈5次L1刷 ")
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stage_curve(4, 12, 2, 2, tag="S2 ≈再刷L2 ")
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stage_curve(6, 18, 3, 2, tag="S3 毕业 ")
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