fix: 再部署重置浮游倍率;roster-026、solo-HARD-1、solo-ABYSS-1 不再沿用旧缓存
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@@ -274,3 +274,24 @@ enemy: picking emitted a unit click with no definition, instead of the tile clic
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engine-canvas regression retains the card/100 HP assertions and also covers another field refresh, live HP loss and
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closing the card when the crate is destroyed. Device metadata supplied by the new entry still wins; changing fields
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does not carry old devices across. Gameplay and allied targeting rules are unchanged.
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### 29.15 Funnel ramps on redeployment
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PRTS [branch traits, 驭械术师](https://prts.wiki/w/分支特性信息/data#驭械术师) resets drone damage to its initial
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scale when the operator redeploys. The profession installer previously initialized the ramp only once, so a
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knocked-out Rockrock revived by Ermengard could keep 110% against the same surviving enemy. Normal deployments now
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reset the funnel target/scale and the per-target map used by Minimalist and Kjera. Other trait state is retained;
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continuous attacks, target changes and the existing free-move carry decision (§22.3) keep their rules. No operator
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kit or attack/chase calculation changes.
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The regression uses the production Match with seed 8, NORMAL solo mode and Ermengard: buy Caper in round 1,
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upgrade in round 2, buy Rockrock in round 5 and leave both fighting normally. In round 6 a real enemy knocks out
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Rockrock; automatic revival must start the same living target at 20%. Controlled Battle tests separately cover
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normal/elite Rockrock and hidden Kjera, Minimalist/Kjera per-target maps, uninterrupted ramping, target changes,
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other-unit deployments, unrelated trait state and free movement.
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Golden updates: `roster-026` reduces Minimalist's damage from 3936 to 2397 and updates the affected enemy,
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player and snapshot totals; `solo-HARD-1` and `solo-ABYSS-1` reduce the AI lineup's damage after funnel
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redeployments (boss damage decreases by 572 and 413 respectively). Their victory, round, RNG and error outcomes
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are unchanged. These three scenarios now start each normal deployment with a fresh ramp instead of carrying
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the previous deployment's per-target cache.
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