L78's strict near-first order starved far LODs at 30 m/s (100% far holes, never completed). Unreal policy 2: once the collision ring is ready, LOD0-2 keep their reserve and far tiles are admitted as low-priority Horizon work; headless gives far work 1 of every 16 requests. Moving camera, far holes while moving: 1.4 m/s L77 8% / L78 29% / L79 31%; 30 m/s L77 8% / L78 100% / L79 72% (completes on dwell). Near readiness while moving at 30 m/s: 52 / 51 / 67%. Still worse than L77 for fast travel -> speed-adaptive policy next. World unchanged (v213). Fast tier PASS; Linux UE host builds. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
129 lines
5.5 KiB
Python
129 lines
5.5 KiB
Python
#!/usr/bin/env python3
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"""Interleave L78/L79 owner-world readiness timings for all four strates."""
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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/l79/timing"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"L78": ROOT / "Saved/Linux/l78/bin/VoxelForgeCoreHeadless-l78-clang-profile",
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"L79": ROOT / "Saved/Linux/l79/bin/VoxelForgeCoreHeadless-l79-clang-profile",
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}
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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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PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
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FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
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LOD_READY = re.compile(
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r"^\[WorldAssemblerL77LODReady\] lod=(\d+) tiles=(\d+) cold_ready_s=([0-9.]+)$",
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re.M,
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)
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NEAR_READY = re.compile(
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r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$",
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re.M,
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)
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ORDERS = (("L78", "L79"), ("L79", "L78"), ("L78", "L79"))
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def run(strate: int, pair: int, mode: str) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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log = OUT / f"strate{strate}-pair{pair}-{mode}.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[mode]), 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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started = time.monotonic()
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with log.open("w", encoding="utf-8") as output:
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result = subprocess.run(command, cwd=ROOT, stdout=output,
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stderr=subprocess.STDOUT, check=False, timeout=1740)
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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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ready = {int(lod): {"tiles": int(tiles), "seconds": float(seconds)}
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for lod, tiles, seconds in LOD_READY.findall(content)}
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near_match = NEAR_READY.search(content)
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if (result.returncode != 0 or pipeline_match is None or near_match is None
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or any(lod not in ready for lod in (0, 1, 2))):
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raise SystemExit(f"readiness run failed or data missing: {log}; exit={result.returncode}")
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pipeline = dict(FIELDS.findall(pipeline_match.group(1)))
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row = {
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"strate": strate,
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"pair": pair,
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"mode": mode,
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"exit_code": result.returncode,
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"wall_s": round(time.monotonic() - started, 3),
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"lod02_ready_s": float(near_match.group(3)),
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"lod_ready_s": {str(lod): ready[lod]["seconds"] for lod in sorted(ready)},
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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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"sampler": next((line for line in content.splitlines()
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if line.startswith("[L77Sampler] action=stop")), None),
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"log": str(log.relative_to(ROOT)),
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}
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print("[L79TimingRun] " + 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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missing = [str(path) for path in (DATA, *BINARIES.values()) if not path.is_file()]
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if missing:
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raise SystemExit("missing input: " + ", ".join(missing))
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rows = []
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for strate in range(4):
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for pair, order in enumerate(ORDERS, 1):
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paired = {}
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for mode in order:
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row = run(strate, pair, mode)
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rows.append(row)
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paired[mode] = row
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(OUT / "runs-partial.json").write_text(
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json.dumps(rows, indent=2) + "\n", encoding="utf-8")
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print("[L79TimingPair] " + json.dumps({
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"strate": strate, "pair": pair,
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"L78_lod02_s": paired["L78"]["lod02_ready_s"],
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"L79_lod02_s": paired["L79"]["lod02_ready_s"],
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"L78_whole_s": paired["L78"]["whole_view_ready_s"],
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"L79_whole_s": paired["L79"]["whole_view_ready_s"],
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}, sort_keys=True), flush=True)
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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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summary.append({
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"strate": strate,
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"pairs": 3,
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"L78_lod02_s": [row["lod02_ready_s"] for row in group if row["mode"] == "L78"],
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"L79_lod02_s": [row["lod02_ready_s"] for row in group if row["mode"] == "L79"],
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"L78_lod02_median_s": statistics.median(
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row["lod02_ready_s"] for row in group if row["mode"] == "L78"),
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"L79_lod02_median_s": statistics.median(
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row["lod02_ready_s"] for row in group if row["mode"] == "L79"),
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"L78_whole_s": [row["whole_view_ready_s"] for row in group if row["mode"] == "L78"],
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"L79_whole_s": [row["whole_view_ready_s"] for row in group if row["mode"] == "L79"],
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"L78_whole_median_s": statistics.median(
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row["whole_view_ready_s"] for row in group if row["mode"] == "L78"),
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"L79_whole_median_s": statistics.median(
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row["whole_view_ready_s"] for row in group if row["mode"] == "L79"),
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})
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(OUT / "summary.json").write_text(
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json.dumps({"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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