Leaf-sharing evolve runs optimised a sharing-credited objective (a shared
leaf of code X with share=k counts as k programme rooms, size re-centred on
k*target) but wrote the un-materialised genome, which the canonical
homemaker-fitness rates catastrophically worse (harbor-house: internal
1.03e-05 vs canonical 6.73e-29, 15 critical missing-room fails).
Fix: before write, driver.polish_finish() unfolds every live shared leaf
into k distinct rooms (operators.unfold_shared_leaves — pays down the count
deficit) then warm-starts a leaf_sharing=False polish search from the
unfolded genome so the materialised rooms get proportion/width/size cleanup.
Returned best.fitness is the canonical score (leaf_sharing off => internal
== canonical). This is yaa's proven unfold-then-polish path, made automatic.
evolve.py: new --polish-budget (env HOMEMAKER_POLISH_BUDGET; -1=auto=
budget//2, 0=unfold+rescore only). Interrupt forces polish_budget=0 for a
fast honest output. Default stays --leaf-sharing on (its topology-search
speed retained; output made honest by the finish). Schedule B in-run
annealing remains homemaker-py-kpu.
Verified (harbor-house 3000+1500): reported polish fitness 4.79788e-27
matches canonical homemaker-fitness exactly, 0 critical fails. Tests: 254
pass (+3 polish_finish).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01M8566xAxTnwtJTkpXjYNZm
Bruno Postle
479d4a57d5