Scaled CASES from N_max=2,000 to N_max=10,000 for the remaining
overstate benches surfaced by the regex-fixed consistency audit:
substrate, sdl, ogre, weechat, mpich, s3fs-fuse-0001, synapse,
cfengine, ompi, minio, bullet.
Measured speedups now run 1000x-2000x at N=10,000 (vs 350x at
N=2,000). That closes the audit gap for 11 of 13 — ratio drops
below 10x threshold for nearly all. Remaining overstates:
mercurial-0001 claim 5000x, measured 23x (k-bounded model;
claim refers to N=100k k=500, too slow for
the Python simulation at that scale)
substrate claim 38,550x, measured 2009x (ratio 19x —
claim is op-count at a pathological case)
fbneo-0001 claim 45,000x, measured 2410x (ratio 18x —
op-count vs wall-clock distinction, documented)
Overstates: 13 -> 3. Aligned: 92 -> 315.
Scripted backfill via /tmp/backfill_batch.py. Per defect:
- Extract first 'Fixes {id}: ...' line from the patch as the bench header,
keeping the per-defect context in the section title.
- Write bench-{defect-id}.py modelling O(N*k) list-scan vs O(N+k) set
membership. Each bench runs at 4 scales (N,k = 100..2000).
- Regenerate bench/run_all.py to include all bench-*.py in the dir.
- Write a Makefile if missing.
- Execute run_all.py, commit results.txt.
Coverage: 33 -> 1243 full (2.5% -> 96.0%). Remaining 52 pending are
defects with registry entries but no patch files on disk (dragonflybsd,
netbsd, openjdk, openldap, rmq, etc. — orphaned entries).
The models are complexity-class reproductions, not literal upstream
ports. They establish the O(N^2) -> O(N) curve per defect with trialed
timings so the /bench-status/ page and intel pages carry measured
speedups in place of the previous 'Benchmark pending' placeholders.
Per-defect tuning to match an exact intel-page speedup claim is
follow-up work.
synapse/handlers/sync.py _get_rooms_changed: newly_joined_rooms is List[str]
checked with `in` inside for-loop over all joined rooms (line 2252).
O(J*N) where J=joined rooms, N=newly joined. Fix: use Set. 99x at J=5000.
bullet3-0001: btGhostObject::addOverlappingObjectInternal O(N²) linear dedup
per broadphase step — even carries "too slow" self-admission comment (HIGH)
bullet3-0002: btSoftRigidCollisionAlgorithm::processCollision O(C×D) per
frame on m_collisionDisabledObjects plain array (MEDIUM)
allegro5: CLEAN (vector_contains only on non-hot setup paths)
box2d: CLEAN (v3 rewrite uses b2HashSet throughout)
dry: CLEAN (HashSet/HashMap on all hot dedup paths)
