Fr0zkaandClaude Opus 5.5
9cb5e53b17
The carve is max(source, -roughSDF/Q), so its reach grows with -source; the outer test uses -d*Q + 0.24 m (wall relief 0.21 + margin) beyond the route radius, disabled in mouth-support and column-overlap tiles. Skips 16% of passage iterations on the highest-activity tiles and all of them on ordinary tiles. 84 candidate/full pairs identical in every hash; 0 changed samples. Evaluator 214 for cache invalidation only. Cold LOD0-2 (L80 protocol): SW 1.30->1.25, FI 3.59->2.93, TN 3.18->3.51 (noise?), VS 1.33->1.22 s. Fast tier PASS. Note: the export's legacy 26-point root route owner_world.passages[0] fails a full-view pre-audit (65 solid samples, unchanged since L70); the canonical 211-point route used by the plan passes. Stale data to clean up. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
103 lines
4.5 KiB
Python
103 lines
4.5 KiB
Python
#!/usr/bin/env python3
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"""L80-protocol cold readiness comparison for the exact passage cut."""
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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/l81/readiness"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARY = ROOT / "Saved/Linux/l81/bin/VoxelForgeCoreHeadless-l81-clang"
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CAMERAS = {
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0: (8.0, 16.0, -372.2626953125),
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1: (25.8369140625, 3.19921875, -737.0),
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2: (19.166015625, -14.2001953125, -753.3740234375),
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3: (-20.0625, -5.068359375, -900.353515625),
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}
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MODES = (("full", "inf"), ("exact", "0"))
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PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
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FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
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NEAR = re.compile(r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) "
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r"cold_ready_s=([0-9.]+)$", re.M)
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def run(strate: int, mode: str, padding: str, phase: str, rep: int) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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label = f"s{strate}-{mode}-{phase}{rep}"
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log = OUT / f"{label}.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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"env", f"VOXELFORGE_L81_PASSAGE_BOUND_PADDING_VOXELS={padding}", "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",
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"--stream-scheduler-policy=3",
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]
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start = time.monotonic()
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try:
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with log.open("w", encoding="utf-8") as stream:
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proc = subprocess.run(command, cwd=ROOT, stdout=stream,
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stderr=subprocess.STDOUT, check=False, timeout=1740)
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except subprocess.TimeoutExpired as exc:
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raise RuntimeError(f"readiness run exceeded 1,740 seconds: {log}") from exc
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content = log.read_text(encoding="utf-8", errors="replace")
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pipeline_match = PIPELINE.search(content)
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near_match = NEAR.search(content)
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if proc.returncode or not pipeline_match or not near_match:
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raise RuntimeError(f"readiness run failed exit={proc.returncode}: {log}")
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pipeline = dict(FIELDS.findall(pipeline_match.group(1)))
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row = {
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"strate": strate, "mode": mode, "padding_voxels": padding,
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"phase": phase, "replicate": rep, "exit_code": proc.returncode,
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"wall_s": round(time.monotonic() - start, 3),
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"lod02_ready_s": float(near_match.group(3)),
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"whole_view_ready_s": float(pipeline["whole_view_ready"].removesuffix("s")),
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"whole_tiles": int(pipeline["whole_tiles"].split("/")[0]),
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"log": str(log.relative_to(ROOT)),
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}
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print("[L81ReadinessRun] " + 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 = []
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for strate in range(4):
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for mode, padding in MODES:
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run(strate, mode, padding, "warmup", 0)
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orders = (("full", "exact"), ("exact", "full"), ("full", "exact"))
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for strate in range(4):
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for rep, order in enumerate(orders, 1):
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for mode in order:
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padding = dict(MODES)[mode]
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rows.append(run(strate, mode, padding, "measured", 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 range(4):
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group = [row for row in rows if row["strate"] == strate]
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item = {"strate": strate, "measured_pairs": 3}
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for mode, _ in MODES:
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subset = [row for row in group if row["mode"] == mode]
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item[f"{mode}_lod02_s"] = [row["lod02_ready_s"] for row in subset]
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item[f"{mode}_lod02_median_s"] = statistics.median(
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row["lod02_ready_s"] for row in subset)
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item[f"{mode}_whole_s"] = [row["whole_view_ready_s"] for row in subset]
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item[f"{mode}_whole_median_s"] = statistics.median(
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row["whole_view_ready_s"] for row in subset)
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summary.append(item)
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(OUT / "summary.json").write_text(json.dumps({"runs": rows, "summary": summary},
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indent=2) + "\n", 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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