Fr0zkaandClaude Opus 5.5
55e20f4a7e
Off-grid census by caller (MC midpoints, skirts, far shells); all 63.0M sweep misses accounted (1.9M exact-route fallbacks, 61.1M counted bound skips). Exact MC midpoint queries memoized by float bits (Unreal enables it too); feature bounds expanded. L100/L101 whole-view hashes equal in all four strata (v216 unchanged); 0 added/removed crossings; 15 capture pairs pixel-identical. Near-ready @W12 L100 -> L101: FI 1.77 -> 1.65, TN 1.66 -> 1.54, SW 0.85 -> 0.84, VS 1.03 -> 1.03 s (L98 2.28/2.23/1.02/1.11). Fast tier PASS; Linux UE host builds. Unreal arrival traces not obtained (the runner wrongly applied the 6 GiB address-space cap to Unreal). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
109 lines
5.0 KiB
Python
109 lines
5.0 KiB
Python
#!/usr/bin/env python3
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"""L80 protocol with balanced, rotating L98/L99/L100/L101 order."""
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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/l101/readiness/l98-l99-l100-l101-exact-bounds"
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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/bin/VoxelForgeCoreHeadless-l98-clang19",
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"L99": ROOT / "Saved/Linux/l99/bin/VoxelForgeCoreHeadless-l99-clang",
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"L100": ROOT / "Saved/Linux/l100/bin/VoxelForgeCoreHeadless-l100-clang",
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"L101": ROOT / "Saved/Linux/l101/bin/VoxelForgeCoreHeadless-l101-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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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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STAMP = re.compile(r"^\[VoxelForgeSourceStamp\] sha256=([0-9a-f]{64})$", re.M)
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def run(strate: str, workers: int, label: str, phase: str, rep: int) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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log = OUT / f"w{workers}-{strate.lower()}-{label.lower()}-{phase}{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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"env", "timeout", "1740s", str(BINARIES[label]), str(DATA),
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"--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
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f"--workers={workers}", "--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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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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pipeline_match, near_match, stamp_match = (
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PIPELINE.search(output), NEAR.search(output), STAMP.search(output))
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if result.returncode or pipeline_match is None or near_match is None or stamp_match is None:
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raise RuntimeError(f"readiness run failed: exit={result.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, "workers": workers, "binary": label, "phase": phase,
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"replicate": rep, "exit_code": result.returncode,
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"source_stamp": stamp_match.group(1), "wall_s": round(time.monotonic() - start, 3),
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"lod02_tiles": f"{near_match.group(1)}/{near_match.group(2)}",
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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": pipeline["whole_tiles"].split("/")[0],
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"log": str(log.relative_to(ROOT)),
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}
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print("[L101ReadinessRun] " + 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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labels = tuple(BINARIES)
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orders = tuple(labels[index:] + labels[:index] for index in range(len(labels)))
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for workers in (8, 12):
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for strate in CAMERAS:
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for label in labels:
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run(strate, workers, label, "warmup", 0)
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for strate in CAMERAS:
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for rep, order in enumerate(orders, 1):
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for label in order:
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rows.append(run(strate, workers, label, "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 workers in (8, 12):
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for strate in CAMERAS:
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group = [row for row in rows if row["workers"] == workers
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and row["strate"] == strate]
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item = {"workers": workers, "strate": strate, "measured_runs": 3}
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for label in labels:
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subset = [row for row in group if row["binary"] == label]
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for metric in ("lod02_ready_s", "whole_view_ready_s"):
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values = [row[metric] for row in subset]
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item[f"{label}_{metric}_runs"] = values
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item[f"{label}_{metric}_median"] = statistics.median(values)
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item[f"{label}_process_wall_s_runs"] = [row["wall_s"] for row in subset]
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summary.append(item)
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(OUT / "summary.json").write_text(json.dumps(
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{"comparison_triple": labels, "runs": rows, "summary": 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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