Fr0zkaandClaude Opus 5.5
fa6363b31a
Route plan unchanged. Per tile, route segments whose bounded influence (tube + 4 m) touches the tile write min-combined tube distance (base sweep); relief/floor/mouth shaping only in the shell (detail sweep); 0.5 m edge blend into the strate field. Near-ready @W12: SW 1.01->0.80, FI 2.23->1.43, TN 2.18->1.37, VS 1.09->0.98 s; whole view FI 3.38->2.37 s. All passage walk audits pass (21,425/21,425 canonical, 3/3 interfaces); 24-run Clang/GCC W1/W8/W12 determinism; 0 sign flips. Change: mean 0.02 cm / 0.05 deg; max 25.9 cm (passage walls/roofs ~3.5 m from route, LOD2) and 49.8 deg (rock walls 13-25 m from routes, LOD2). Captures with diffs in Linux99/captures. Fast tier PASS (v215 pins). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
99 lines
4.1 KiB
Python
99 lines
4.1 KiB
Python
#!/usr/bin/env python3
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"""Three interleaved L77 passage-share censuses for L98 and L99, all four strata."""
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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 statistics
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import subprocess
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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/l99/census"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"L98": ROOT / "Saved/Linux/l98/profile-post-bin/VoxelForgeCoreHeadless-l98-post-profile",
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"L99": ROOT / "Saved/Linux/l99/profile-bin/VoxelForgeCoreHeadless-l99-profile-clang",
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}
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CAMERAS = {
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"SW": (8.0, 16.0, -372.2626953125),
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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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"VS": (-20.0625, -5.068359375, -900.353515625),
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}
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SAMPLE = re.compile(
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r"^\[L77Sample\] pc=(0x\w+) lod=(\d+) .*?phase=(\S+) .*?weight=(\d+)$", re.M)
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SAMPLER = re.compile(
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r"^\[L77Sampler\] action=stop .*?samples=(\d+).*?status=PASS$", re.M)
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def run(strate: str, label: str, rep: int) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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log = OUT / f"{label.lower()}-{strate.lower()}-r{rep}.log"
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camera = ",".join(f"{value:.12f}" for value in CAMERAS[strate]) + ",0,0"
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command = [
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"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
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"timeout", "1740s", str(BINARIES[label]), str(DATA),
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"--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
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"--workers=8", "--clip-radius=3", "--max-clip-level=8", "--max-level=8",
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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"L77 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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"strate": strate, "binary": label, "replicate": rep,
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"exit_code": result.returncode, "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,
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"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("[L99CensusRun] " + 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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for binary in (*BINARIES.values(), DATA):
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if not binary.is_file():
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raise SystemExit(f"missing input: {binary}")
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rows = []
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orders = (("L98", "L99"), ("L99", "L98"), ("L98", "L99"))
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for rep, order in enumerate(orders, 1):
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for label in order:
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for strate in CAMERAS:
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rows.append(run(strate, label, rep))
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(OUT / "runs-partial.json").write_text(json.dumps(rows, indent=2) + "\n",
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encoding="utf-8")
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summary = []
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for strate in CAMERAS:
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item = {"strate": strate, "pairs": 3}
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for label in BINARIES:
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subset = [row for row in rows if row["strate"] == strate
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and row["binary"] == label]
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values = [row["near_lod_passage_share_pct"] for row in subset]
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item[f"{label}_runs_pct"] = values
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item[f"{label}_mean_pct"] = statistics.mean(values)
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item["change_pp"] = item["L99_mean_pct"] - item["L98_mean_pct"]
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summary.append(item)
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(OUT / "summary.json").write_text(json.dumps(
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{"runs": rows, "near_lod_passage_share": summary}, 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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