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.
18 lines
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18 lines
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=== audacity-0001: In src/trackedit/internal/trackeditactionscontroller.cpp, at least 7 ===
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N=100 k=100 : defective=0.097ms fixed=0.004ms speedup=25.1x
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N=500 k=500 : defective=2.515ms fixed=0.024ms speedup=105.2x
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N=1000 k=1000 : defective=9.564ms fixed=0.046ms speedup=208.2x
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N=2000 k=2000 : defective=36.663ms fixed=0.097ms speedup=378.5x
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=== audacity-0002: In au3/libraries/au3-wave-track/WaveTrack.cpp, CanOffsetClips() iterates ===
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N=100 k=100 : defective=0.085ms fixed=0.003ms speedup=25.8x
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N=500 k=500 : defective=2.178ms fixed=0.021ms speedup=104.6x
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N=1000 k=1000 : defective=9.184ms fixed=0.046ms speedup=199.0x
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N=2000 k=2000 : defective=34.998ms fixed=0.101ms speedup=344.9x
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=== audacity-2026: CWE-407: list-scan inside loop in audacity-2026 (generic model) ===
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N=100 k=100 : defective=0.088ms fixed=0.004ms speedup=24.9x
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N=500 k=500 : defective=2.122ms fixed=0.020ms speedup=103.6x
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N=1000 k=1000 : defective=8.674ms fixed=0.045ms speedup=192.0x
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N=2000 k=2000 : defective=39.988ms fixed=0.104ms speedup=384.8x
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