Fr0zkaandClaude Opus 5.5
6a80cb0ab3
Near tiles legitimately need floor/ceiling boundary patches, but every hit query scanned the tile's whole XY column. Direction-specific 3D cell bins conservatively index triangle bounds; the existing predicates still decide every hit. Candidate visits per query -88..-99%; identical query and hit counts. Hit-function cost ~1.7-1.9 -> ~0.35 s per FI/TN run. Near-ready @W12: FI 1.63 -> 1.52, TN 1.51 -> 1.38, VS 1.00 -> 0.92 s. All tile/whole hashes equal L103 (Clang/GCC W1/W8/W12). The 24-28% "idle" is in the serial base-shape (~0.24 s) and far-parent (~0.13 s) phases; the LOD0-1 drain is >= 99.4% busy. Fast tier PASS; Linux UE builds; FI Unreal arrival 1.96-1.98 s. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
23 lines
582 B
Python
23 lines
582 B
Python
#!/usr/bin/env python3
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"""Add FI W12 L77 samples to tighten the final-source closure estimate."""
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from __future__ import annotations
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import json
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from pathlib import Path
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from RunL104Census import run
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ROOT = Path(__file__).resolve().parents[4]
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OUT = ROOT / "Saved/Linux/l104/census"
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def main() -> int:
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rows = [run("FI", replicate) for replicate in range(4, 10)]
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(OUT / "runs-extra-fi.json").write_text(json.dumps(rows, indent=2) + "\n",
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encoding="utf-8")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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