With the bench rule the gained operator starts the next prep on the bench while its carrier's deployment
is free. The buy loop's pre-emptive bench shed sells the weakest bench single by piece value while the
bench is crowded, before the placement step runs: in 20 solo 绝境 matches on 昆图斯 it sold 44 of 222
gained operators that way.
- bot.js: botPrepEndSteps remembers the chess owned when the prep ends (rememberOwned); the shed's
keepFresh now also spares a piece gained since then (a transformation's operator, battle-result /
round-start grants), so the lineup step decides about it. No memory yet (a first prep, a seat just
put under AI 托管) changes nothing.
- botbench, decisions only: 昆图斯 (seeds 201-220) 绝境 7 -> 11 / 20 wins with the fix (8 on the WA
build), 险境 16 -> 17 / 20 (15); the bots' own strategies unchanged within noise (solo 绝境 8 / 12 both,
solo 险境 19 / 24 both, co-op 绝境 4 AI 9 -> 8 / 36).
- Test: a real solo 绝境 昆图斯 bot match (seed 9 sold its R7 operator in the R8 prep before the fix):
no gained operator shed in its first prep, none waiting on the bench beside a free deployment.
- DESIGN §21.1 / §21.6 / §6.6, META and the CHANGELOG line say so.
sganggs
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