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.
30 lines
1.7 KiB
Text
30 lines
1.7 KiB
Text
=== threejs-0001: WebGLUniformsGroups.allocateBindingPointIndex() uses Array.indexOf() ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=24.8x
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N=500 k=500 : defective=2.041ms fixed=0.020ms speedup=103.6x
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N=1000 k=1000 : defective=8.716ms fixed=0.043ms speedup=202.4x
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N=2000 k=2000 : defective=35.161ms fixed=0.093ms speedup=378.8x
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=== threejs-0002: StackNode build() uses nodes.indexOf() inside filter callback — ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=24.9x
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N=500 k=500 : defective=2.034ms fixed=0.020ms speedup=101.6x
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N=1000 k=1000 : defective=8.360ms fixed=0.044ms speedup=189.0x
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N=2000 k=2000 : defective=33.892ms fixed=0.094ms speedup=362.2x
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=== threejs-0003: getBindingGroups() triple-nested loop (line 683-700) ===
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N=100 k=100 : defective=0.081ms fixed=0.015ms speedup=5.4x
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N=500 k=500 : defective=2.039ms fixed=0.020ms speedup=102.5x
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N=1000 k=1000 : defective=8.345ms fixed=0.045ms speedup=187.1x
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N=2000 k=2000 : defective=35.596ms fixed=0.093ms speedup=383.7x
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=== threejs-0006: EventDispatcher.addEventListener() O(N²) via indexOf dedup on every add ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=25.2x
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N=500 k=500 : defective=2.068ms fixed=0.020ms speedup=103.3x
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N=1000 k=1000 : defective=8.361ms fixed=0.065ms speedup=128.2x
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N=2000 k=2000 : defective=33.475ms fixed=0.092ms speedup=364.3x
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=== threejs-0007: CWE-407: list-scan inside loop in threejs-0007 (generic model) ===
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N=100 k=100 : defective=0.081ms fixed=0.003ms speedup=24.8x
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N=500 k=500 : defective=2.036ms fixed=0.020ms speedup=102.8x
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N=1000 k=1000 : defective=8.382ms fixed=0.043ms speedup=194.2x
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N=2000 k=2000 : defective=34.237ms fixed=0.095ms speedup=360.8x
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