research: cave planner merge evidence (L150, measurement only)
Merges cleanly. UE start: S1 -9%, S3 +11%, S0/S2 ~+1%. 30 m/s: near coverage 44.2 -> 38.5%, far holes +0.06 pp, p99 +2%. L80 near-ready slower in 6/8 cells (up to +7.9%), whole view faster in 7/8. Sweeps 15/16 each (seed 2). Source/: VoxelForgeCoreAdapter.cpp. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
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#!/usr/bin/env python3
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"""L80 comparison of the planner HEAD with the assembler/world baseline."""
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from __future__ import annotations
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import json
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import os
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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/l150/timing"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"assembler-world": (
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ROOT / "Saved/Linux/l137/bin/VoxelForgeCoreHeadless-l137-aa-a",
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"4499fb2a8a4ede7d6cbc68d1b794f104658cdaae93ed9cacbc91fe7ff3fc3621"),
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"planner-head": (
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ROOT / "Standalone/bin/linux/VoxelForgeCoreHeadless-l150-head-clang",
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"c6b8a100355e271ddc40eb5973569d2ff4e2ba8d9c628c72f8e0af2493f0609f"),
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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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NEAR = 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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STAMP = re.compile(r"^\[VoxelForgeSourceStamp\] sha256=([0-9a-f]+)$", re.M)
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def run(strate: int, workers: int, version: str, phase: str, replicate: int) -> dict:
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OUT.mkdir(parents=True, exist_ok=True)
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binary, expected_stamp = BINARIES[version]
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camera = ",".join(f"{value:.12f}" for value in CAMERAS[strate]) + ",0,0"
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label = f"s{strate}-w{workers}-{version}-{phase}{replicate}"
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log = OUT / f"{label}.log"
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command = [
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"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
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"timeout", "1740s", str(binary), str(DATA), "--world-assembler-prototype",
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"--stream-benchmark", "--stream-pipeline", f"--workers={workers}",
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"--clip-radius=3", "--max-clip-level=8", "--max-level=8",
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f"--camera={camera}", "--profile-lod-work", "--stream-scheduler-policy=3",
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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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proc = 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, near, stamp = PIPELINE.search(content), NEAR.search(content), STAMP.search(content)
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if (proc.returncode or pipeline is None or near is None or stamp is None
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or stamp.group(1) != expected_stamp):
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raise SystemExit(f"L80 timing failed or source stamp mismatch: {log}; exit={proc.returncode}")
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fields = dict(FIELDS.findall(pipeline.group(1)))
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row = {
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"strate": strate, "workers": workers, "version": version,
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"phase": phase, "replicate": replicate, "source_stamp": stamp.group(1),
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"lod02_ready_s": float(near.group(3)),
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"whole_view_ready_s": float(fields["whole_view_ready"].removesuffix("s")),
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"whole_tiles": int(fields["whole_tiles"].split("/")[0]),
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"wall_s": round(time.monotonic() - started, 3),
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"log": str(log.relative_to(ROOT)),
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}
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print("[L150TimingRun] " + json.dumps(row, sort_keys=True), flush=True)
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return row
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def quiet_machine() -> tuple[float, float]:
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load_1m = os.getloadavg()[0]
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def totals() -> tuple[int, int]:
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fields = Path("/proc/stat").read_text().splitlines()[0].split()
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values = [int(value) for value in fields[1:]]
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return sum(values), values[3] + values[4]
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before = totals()
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time.sleep(2.0)
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after = totals()
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idle = 100.0 * (after[1] - before[1]) / max(1, after[0] - before[0])
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return load_1m, idle
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def main() -> int:
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if any(not path.is_file() for path in [DATA, *(entry[0] for entry in BINARIES.values())]):
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raise SystemExit("missing L150 timing input")
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OUT.mkdir(parents=True, exist_ok=True)
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load_1m, idle = quiet_machine()
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(OUT / "machine-load-before.txt").write_text(
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f"1-minute load: {load_1m:.2f}\n2-second CPU idle: {idle:.1f}%\n")
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print(f"[L150TimingGate] load_1m={load_1m:.2f} cpu_idle_2s={idle:.1f}%", flush=True)
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if load_1m >= 1.5 or idle < 97.0:
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raise SystemExit("timing refused: machine is above the L80 quiet-load gate")
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rows = []
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versions = tuple(BINARIES)
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for strate in range(4):
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for workers in (8, 12):
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for version in versions:
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run(strate, workers, version, "warmup", 0)
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for replicate in range(1, 6):
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order = versions if replicate % 2 else tuple(reversed(versions))
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for version in order:
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rows.append(run(strate, workers, version, "measured", replicate))
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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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measured = [row for row in rows if row["phase"] == "measured"]
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summary = []
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for strate in range(4):
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for workers in (8, 12):
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group = [row for row in measured
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if row["strate"] == strate and row["workers"] == workers]
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medians = {
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version: {
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key: statistics.median(row[key] for row in group
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if row["version"] == version)
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for key in ("lod02_ready_s", "whole_view_ready_s")
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}
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for version in versions
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}
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entry = {"strate": strate, "workers": workers,
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"replicates_per_version": 5, "medians": medians}
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for key in ("lod02_ready_s", "whole_view_ready_s"):
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entry[f"planner_head_vs_assembler_world_{key}_delta_pct"] = round(
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100.0 * (medians["planner-head"][key]
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/ medians["assembler-world"][key] - 1.0), 2)
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entry[f"{key}_paired_deltas_pct"] = [
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round(100.0 * (
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next(row[key] for row in group
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if row["version"] == "planner-head"
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and row["replicate"] == replicate)
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/ next(row[key] for row in group
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if row["version"] == "assembler-world"
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and row["replicate"] == replicate) - 1.0), 3)
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for replicate in range(1, 6)]
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summary.append(entry)
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(OUT / "summary.json").write_text(json.dumps({
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"a_a_noise_floor_pct": 1.0,
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"timing_protocol": (
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"one warm-up per binary, five interleaved runs per cell, W8/W12, "
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"all four owner layers; L137 A/A median noise floor ±1%"),
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"runs": rows,
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"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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