Fr0zkaandClaude Opus 5.5
a81b5b7d06
Exact through LOD2 (all near tile hashes equal L82). W8 LOD0-2: SW 1.09->1.06, FI 2.47->2.34, TN 2.39->2.43 (noise), VS 1.20->1.18 s. Fast tier PASS. Scaling W4/W8/W12/W16 (LOD0-2, FI): 3.59 / 2.48 / 2.33 / 2.34 s - flattens past W8-W12. Estimated infinite-worker floor ~1.0 s FI/TN = shape compile (0.35-0.41 s, not overlapped: no shape-free tiles in these views) + slowest single LOD0 tile service (0.51-0.59 s). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
79 lines
3.4 KiB
Python
79 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""Run three L77 sampler censuses per passage-heavy stratum."""
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from __future__ import annotations
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import json
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import re
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import subprocess
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import sys
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import time
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[4]
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OUT = ROOT / "Saved/Linux/l83/census"
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DATA = ROOT / "Standalone/data/owner_world.json"
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POST = len(sys.argv) > 1 and sys.argv[1] == "--post"
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BINARY = (ROOT / "Saved/Linux/l83/profile-bin/VoxelForgeCoreHeadless-l83-profile-clang19"
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if POST else ROOT / "Saved/Linux/l82/profile-bin/VoxelForgeCoreHeadless-clang19")
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LABEL = "post" if POST else "pre"
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CAMERAS = {
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"FI": (25.8369140625, 3.19921875, -737.0),
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"TN": (19.166015625, -14.2001953125, -753.3740234375),
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}
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SAMPLE = re.compile(r"^\[L77Sample\] pc=(0x\w+) lod=(\d+) .*?phase=(\S+) .*?weight=(\d+)$", re.M)
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SAMPLER = re.compile(r"^\[L77Sampler\] action=stop .*?samples=(\d+).*?status=PASS$", re.M)
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def run(world: str, rep: int) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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log = OUT / f"{LABEL}-{world.lower()}-r{rep}.log"
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camera = ",".join(f"{value:.12f}" for value in CAMERAS[world]) + ",0,0"
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command = [
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"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
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"env", "VOXELFORGE_L81_PASSAGE_BOUND_PADDING_VOXELS=0", "timeout", "1740s",
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str(BINARY), str(DATA), "--world-assembler-prototype", "--stream-benchmark",
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"--stream-pipeline", "--workers=8", "--clip-radius=3", "--max-clip-level=8",
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"--max-level=8", f"--camera={camera}", "--profile-lod-work", "--linux77-profile",
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]
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start = time.monotonic()
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with log.open("w", encoding="utf-8") as stream:
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result = subprocess.run(command, cwd=ROOT, stdout=stream,
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stderr=subprocess.STDOUT, check=False, timeout=1740)
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output = log.read_text(encoding="utf-8", errors="replace")
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samples = [(int(lod), phase, int(weight))
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for _pc, lod, phase, weight in SAMPLE.findall(output)]
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sampler = SAMPLER.search(output)
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if result.returncode or not samples or sampler is None:
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raise RuntimeError(f"census failed: exit={result.returncode} {log}")
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near = [row for row in samples if row[0] <= 2]
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passage = sum(weight for _, phase, weight in near if phase == "passages")
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total = sum(weight for _, _, weight in near)
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row = {
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"world": world, "replicate": rep, "exit_code": result.returncode,
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"wall_s": round(time.monotonic() - start, 3),
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"sampler_samples": int(sampler.group(1)), "near_lod_samples": len(near),
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"near_lod_weighted_ticks": total, "near_lod_passage_weighted_ticks": passage,
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"near_lod_passage_share_pct": 100.0 * passage / total,
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"log": str(log.relative_to(ROOT)),
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}
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print("[L83CensusRun] " + json.dumps(row, sort_keys=True), flush=True)
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return row
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def main() -> int:
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if not BINARY.is_file() or not DATA.is_file():
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raise SystemExit(f"missing input: {BINARY} or {DATA}")
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rows = [run(world, rep) for rep in (1, 2, 3) for world in CAMERAS]
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by_world = {}
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for world in CAMERAS:
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values = [row["near_lod_passage_share_pct"] for row in rows if row["world"] == world]
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by_world[world] = {"runs_pct": values, "mean_pct": sum(values) / len(values)}
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(OUT / f"{LABEL}-summary.json").write_text(json.dumps(
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{"runs": rows, "near_lod_passage_share": by_world}, 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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