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.
12 lines
764 B
Text
12 lines
764 B
Text
=== open3d-0001: ValidatePoseGraphConnectivity — O(V²×E) std::find on component vector inside BFS×edge scan ===
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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=2.131ms fixed=0.020ms speedup=104.6x
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N=1000 k=1000 : defective=8.689ms fixed=0.046ms speedup=190.8x
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N=2000 k=2000 : defective=38.009ms fixed=0.097ms speedup=390.6x
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=== open3d-0002: RandomSampler::operator() — O(S²) std::find on samples vector inside rejection-sampling loop ===
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N=100 k=100 : defective=0.084ms fixed=0.003ms speedup=24.6x
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N=500 k=500 : defective=2.174ms fixed=0.021ms speedup=105.6x
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N=1000 k=1000 : defective=8.740ms fixed=0.064ms speedup=136.8x
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N=2000 k=2000 : defective=38.376ms fixed=0.097ms speedup=397.4x
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