russell@unturf.com
b5b9cce0a1
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
1,005 B
Text
18 lines
1,005 B
Text
=== sfml-0001: O(1) dedup — CWE-407 ===
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N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.5x
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N=500 k=500 : defective=2.103ms fixed=0.020ms speedup=103.1x
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N=1000 k=1000 : defective=8.783ms fixed=0.045ms speedup=194.4x
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N=2000 k=2000 : defective=36.358ms fixed=0.097ms speedup=373.7x
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=== sfml-0004: WindowImplX11 destructor uses std::find() on allWindows vector ===
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N=100 k=100 : defective=0.085ms fixed=0.003ms speedup=24.9x
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N=500 k=500 : defective=2.185ms fixed=0.021ms speedup=103.2x
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N=1000 k=1000 : defective=8.820ms fixed=0.046ms speedup=190.9x
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N=2000 k=2000 : defective=35.865ms fixed=0.179ms speedup=200.5x
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=== sfml-0005: GlContext::isExtensionAvailable() uses std::find() on string vector ===
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N=100 k=100 : defective=0.088ms fixed=0.005ms speedup=18.3x
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N=500 k=500 : defective=2.167ms fixed=0.022ms speedup=99.6x
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N=1000 k=1000 : defective=8.995ms fixed=0.045ms speedup=200.5x
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N=2000 k=2000 : defective=36.120ms fixed=0.097ms speedup=372.6x
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