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authorScott Gasch <[email protected]>2026-08-28 11:10:14 -0700
committerScott Gasch <[email protected]>2026-08-28 11:10:14 -0700
commit1a0712fee7e3fa9bcf124a942d8ef15efe4578e7 (patch)
tree29973e7deb28d8ddca12d0aff5dff5381be489f5 /src/input.c
parent538df17868afff51d49927fb5c8a91724752f26c (diff)
Fix IID's killer-blind gate and its ordering-flag/history contamination
of iValue; harden against a latent ComputeMoveExtension bug. DO_IID's "is the top move crappy" gate compared raw iValue against SORT_THESE_FIRST only, missing that ordinary killer moves (FIRST_KILLER through FOURTH_KILLER) sit below that threshold too -- a killer that already proved itself elsewhere in the tree was being treated as "crappy" and triggering an unnecessary shallow rescore. Fixed by also excluding killer-flagged moves from the gate. RescoreMovesViaSearch corrupted the winning move's real search score by OR-ing in SORT_THESE_FIRST to force it to sort first (`mvf[uBest].iValue |= SORT_THESE_FIRST`) -- unnecessary (SelectBest{With,No}History already find the true max by plain magnitude comparison, no flag needed) and actively dangerous: a later ComputeMoveScore() call on that same move, if it's a capture, would see the corrupted value, mistake it for generate.c's biased-capture-ordering format, and subtract the wrong bias entirely. Removed the OR; added an explicit PLY_INFO.fMovesRescoredByIID flag so ComputeMoveScore and the main search-loop's move-selection call can both recognize "this ply's iValue holds a real eval-axis score" without relying on bit-pattern inference. Consequently, ComputeMoveScore now trusts an IID-rescored move's score outright instead of running it through the capture-bias-subtraction or quiet-move-collapse-to-0 logic (both of which assume generate.c's ordering encoding, which a rescored ply no longer holds). Separately hardened it against quiet killer-mate moves, which can reach SORT_THESE_FIRST via a different, capture-unrelated path and were incorrectly getting the capture bias subtracted from them; they now correctly collapse to 0 like other quiet moves. Two follow-on ideas -- blending history into the real IID score (scaled or capped) and a exact-tie-only history tiebreak -- were implemented, measured, and rejected: blending invents a new, leak-prone move-scoring axis for no measured benefit, and the tiebreak-only compromise still cost solves relative to just trusting the real score outright. Main search's move-selection call now branches once per selection (not once per candidate move) between SelectBestNoHistory (IID-rescored plies) and SelectBestWithHistory (everyone else), keeping the overwhelmingly common non-rescored path at zero added cost. Net measured effect (ecm_ringers.ep_/ecm_confident_quick.ep_/ ecm_hard_quick.ep_, sn=5M): 10/90/9, down from a pre-existing 11/88/10 on ringers and hard specifically -- see lmr_testing/RESULTS.md for the full sweep of rejected alternatives and why the regression was accepted as the cost of removing a latent, leak-prone bug class rather than chasing the exact prior numbers. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01YGSMkwjqiCk4XhbfN7ugD2
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