streaming: near LODs first (walkable ring, LOD0, LOD1, LOD2, then far); exact passage trims (L78)
- Headless and Unreal schedulers drain the collision-critical ring, then LOD0-2, then far LODs at low priority. LOD0-2 ready (W8 medians): SW 4.36->1.76, FI 6.89->5.26, TN 4.88->3.22, VS 2.71->1.56 s. Whole view roughly unchanged (FI/VS slightly later). KNOWN RISK: far tiles wait until every near tile is ready, so far LODs may starve while moving fast (to address next). - Exact composer trims: tile-level upper-mouth candidate list, segment-index min/max rejection before lower_bound, 64-entry thread-local value-noise corner cache. Passage share 65 -> 63%. - World exact: 24/24 hash matrix + pinned L75 owner hash. 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
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@@ -0,0 +1,126 @@
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#!/usr/bin/env python3
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"""Run interleaved L77/L78 cold readiness pairs for the four owner 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/l78/timing"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"before": ROOT / "Standalone/bin/linux/VoxelForgeCoreHeadless-l77-clang",
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"after": ROOT / "Saved/Linux/l78/bin/VoxelForgeCoreHeadless-l78-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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STAMP = re.compile(r"^\[VoxelForgeSourceStamp\] sha256=(\S+)$", re.M)
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ORDERS = (("before", "after"), ("after", "before"), ("before", "after"))
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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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if result.returncode != 0 or pipeline_match is None or any(lod not in ready for lod in (0, 1, 2)):
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raise SystemExit(f"readiness run failed or LOD0-2 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": max(ready[lod]["seconds"] for lod in (0, 1, 2)),
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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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"source_stamp": STAMP.search(content).group(1) if STAMP.search(content) else None,
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"log": str(log.relative_to(ROOT)),
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}
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print("[L78TimingRun] " + 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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summary_row = {
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"strate": strate,
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"pair": pair,
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"before_lod02_s": paired["before"]["lod02_ready_s"],
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"after_lod02_s": paired["after"]["lod02_ready_s"],
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"before_whole_s": paired["before"]["whole_view_ready_s"],
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"after_whole_s": paired["after"]["whole_view_ready_s"],
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}
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print("[L78TimingPair] " + json.dumps(summary_row, 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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before_near = [row["lod02_ready_s"] for row in group if row["mode"] == "before"]
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after_near = [row["lod02_ready_s"] for row in group if row["mode"] == "after"]
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before_whole = [row["whole_view_ready_s"] for row in group if row["mode"] == "before"]
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after_whole = [row["whole_view_ready_s"] for row in group if row["mode"] == "after"]
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summary.append({
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"strate": strate,
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"pairs": len(before_near),
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"before_lod02_s": before_near,
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"after_lod02_s": after_near,
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"before_lod02_median_s": statistics.median(before_near),
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"after_lod02_median_s": statistics.median(after_near),
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"before_whole_s": before_whole,
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"after_whole_s": after_whole,
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"before_whole_median_s": statistics.median(before_whole),
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"after_whole_median_s": statistics.median(after_whole),
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})
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result = {"runs": rows, "summary": summary}
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(OUT / "summary.json").write_text(json.dumps(result, 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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