Fr0zkaandClaude Opus 5.5
81071969fc
One current-state page (shipping behaviour, references with sources, gaps, verification, closed lines), linked from CLAUDE.md. Removes the L86/L88 passage/boundary ablation switches and the unused legacy route-grade audit; inventory of every kept switch in the report. Output identical: 24/24 + 18/18 hashes, fast tier, walk/seam audits, UE host build; timing unchanged (-0.2%, CI spans 0). No Source/ changes. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
116 lines
5.3 KiB
Python
116 lines
5.3 KiB
Python
#!/usr/bin/env python3
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"""Five interleaved L80 readiness measurements per stratum and worker count."""
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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/l131/timing"
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DATA = ROOT / "Standalone/data/owner_world.json"
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BINARIES = {
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"base": ROOT / "Saved/Linux/l130/bin/VoxelForgeCoreHeadless-l130-clang",
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"l131": ROOT / "Saved/Linux/l131/bin/VoxelForgeCoreHeadless-l131-clang",
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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 = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
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FIELDS_RE = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
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NEAR_RE = re.compile(r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$", re.M)
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def run(strate: int, workers: int, version: str, phase: str, replicate: int) -> dict:
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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}-l131-v227"
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log = OUT / f"{label}.log"
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command = ["taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
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"timeout", "1740s", str(BINARIES[version]), 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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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, near = PIPELINE_RE.search(content), NEAR_RE.search(content)
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if result.returncode or pipeline is None or near is None:
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raise RuntimeError(f"timing run failed: {log}; exit={result.returncode}")
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fields = dict(FIELDS_RE.findall(pipeline.group(1)))
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row = {"strate": strate, "workers": workers, "version": version,
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"phase": phase, "replicate": replicate,
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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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"wall_s": round(time.monotonic() - started, 3),
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"log": str(log.relative_to(ROOT))}
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print("[L131TimingRun] " + 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] if len(values) > 4 else 0)
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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, *BINARIES.values())):
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raise SystemExit("missing 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"[L131TimingGate] load_1m={load_1m:.2f} cpu_idle_2s={idle:.1f}%", flush=True)
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if load_1m >= 0.9 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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for strate in range(4):
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for workers in (8, 12):
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for version in BINARIES:
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rows.append(run(strate, workers, version, "warmup", 0))
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for replicate in range(1, 6):
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order = tuple(BINARIES) if replicate % 2 else tuple(reversed(BINARIES))
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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(json.dumps(rows, indent=2) + "\n")
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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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old = [row for row in measured if row["strate"] == strate and row["workers"] == workers and row["version"] == "base"]
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new = [row for row in measured if row["strate"] == strate and row["workers"] == workers and row["version"] == "l131"]
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item = {"strate": strate, "workers": workers, "replicates_per_version": 5}
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for key in ("lod02_ready_s", "whole_view_ready_s"):
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old_med, new_med = statistics.median(row[key] for row in old), statistics.median(row[key] for row in new)
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item[f"base_{key}_median"] = old_med
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item[f"l131_{key}_median"] = new_med
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item[f"delta_pct_{key}"] = round(100.0 * (new_med / old_med - 1.0), 2)
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item[f"base_{key}_values"] = [row[key] for row in old]
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item[f"l131_{key}_values"] = [row[key] for row in new]
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summary.append(item)
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(OUT / "summary.json").write_text(json.dumps({"runs": rows, "summary": summary}, indent=2) + "\n")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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